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https://openalex.org/W4287509495
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https://publikationsserver.tu-braunschweig.de/servlets/MCRFileNodeServlet/dbbs_derivate_00048592/Vogt_energies-14-07271.pdf
|
English
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Sensor-Based Machine Learning Approach for Indoor Air Quality Monitoring in an Automobile Manufacturing
|
RePEc: Research Papers in Economics
| 2,021
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cc-by
| 9,321
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Keywords: machine learning; HVAC; control system; body shop; automotive industry Keywords: machine learning; HVAC; control system; body shop; automotive industry Sensor-Based Machine Learning Approach for Indoor Air
Quality Monitoring in an Automobile Manufacturing dy 1,*, Marcus Vogt 2
, Rushit Kansara 2
, Clemens Felsmann 1 and Christoph Herrmann 2 Yose Wandy 1,*, Marcus Vogt 2
, Rushit Kansara 2
, Clemens Felsmann 1 and Christop 1
Chair of Building Energy Systems and Heat Supply, Institute of Energy Technology, Technische Universität
Dresden Helmholtzstr 14 01069 Dresden Germany; clemens felsmann@tu dresden de 1
Chair of Building Energy Systems and Heat Supply, Institute of Energy Technology, Technische Univers
Dresden, Helmholtzstr. 14, 01069 Dresden, Germany; clemens.felsmann@tu-dresden.de 1
Chair of Building Energy Systems and Heat Supply, Institute of Energy Technology, Technische Universität
Dresden, Helmholtzstr. 14, 01069 Dresden, Germany; clemens.felsmann@tu-dresden.de
2
Chair of Sustainable Manufacturing and Life Cycle Engineering, Institute of Machine Tools and Production
Technology, Technische Universität Braunschweig, Langer Kamp 19b, 38106 Braunschweig, Germany;
marcus.vogt@tu-braunschweig.de (M.V.); rushit2011@gmail.com (R.K.);
c.herrmann@tu-braunschweig.de (C.H.)
*
Correspondence: ywandy@ymail.com Dresden, Helmholtzstr. 14, 01069 Dresden, Germany; clemens.felsmann@tu-dresden.de
2
Chair of Sustainable Manufacturing and Life Cycle Engineering, Institute of Machine Tools and Production
Technology, Technische Universität Braunschweig, Langer Kamp 19b, 38106 Braunschweig, Germany;
marcus.vogt@tu-braunschweig.de (M.V.); rushit2011@gmail.com (R.K.);
c.herrmann@tu-braunschweig.de (C.H.)
*
Correspondence: ywandy@ymail.com *
Correspondence: ywandy@ymail.com Abstract: The alternative control concept using emission from the machine has the potential to reduce
energy consumption in HVAC systems. This paper reports on a study of alternative inputs for a
control system of HVAC using machine learning algorithms, based on data that are gathered in a
welding area of an automotive factory. A data set of CO2, fine dust, temperatures and air velocity
was logged using continuous and gravimetric measurements during two typical production weeks. The HVAC system was reduced gradually each day to trigger fluctuations of emission. The data were
used to train and test various machine learning models using different statistical indices, consequently
to choose a best fit model. Different models were tested and the Long Short-Term Memory model
showed the best result, with 0.821 discrepancy on R2. The gravimetric samples proved that the
reduction of air exchange rate does not correlate to escalation of fine dust linearly, which means
one cannot rely on just gravimetric samples for HVAC system optimization. Furthermore, by using
machine learning algorithms, this study shows that by using commonly available low cost sensors
in a production hall, it is possible to correlate fine dust data cost effectively and reduce electricity
consumption of the HVAC. Citation: Wandy, Y.; Vogt, M.;
Kansara, R.; Felsmann, C.; Herrmann,
C. Sensor-Based Machine Learning
Approach for Indoor Air Quality
Monitoring in an Automobile
Manufacturing. Energies 2021, 14,
7271. https://doi.org/
10.3390/en14217271 energies energies Keywords: machine learning; HVAC; control system; body shop; automotive industry 1. Introduction Received: 29 July 2021
Accepted: 20 October 2021
Published: 3 November 2021 The digitalization of manufacturing is being driven forward by the decreasing costs
of information and communication technology. Cyber-physical systems (CPS), or in the
manufacturing context Cyber-Physical Production Systems (CPPS), are an important tech-
nological element in the realization of the 4th industrial revolution [1]. CPPS and their
applicability in industrial environments are of increasing interest in current research and
industry. A CPPS is clustered into subsystems: the physical world and the cyber world. These subsystems interact with each other through data acquisition and decision-making
support and control functionalities, respectively [2]. Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
published maps and institutional affil-
iations. In 2018, the World’s energy consumption has increased by almost 40% compared to
the consumption in 1990 [3]. The industrial share of total final consumption (TFC) stayed
at the ~30% [4]. Although the absolute consumption increased to ~57% compared to the
consumption of industrial sector in 1990 [5]. In times of increasing energy demand and
decreasing energy resources, a further optimization and revaluation in industrial sector
is imperative. 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/). p
The Heating Ventilating and Air-Conditioning (HVAC) system is responsible for a
large part of the energy consumption in industry. According to internal Volkswagen
data [6], it accounts on average for about 40% of the total energy consumption in industrial
buildings. Automobile production can be classified into press shop, assembly, paint shop https://www.mdpi.com/journal/energies Energies 2021, 14, 7271. https://doi.org/10.3390/en14217271 Energies 2021, 14, 7271 2 of 16 and body shop. Body shop is responsible for almost one-quarter of the total energy
consumption, preceded only by the paint shop [6]. Within the case study of a body shop,
the HVAC system has the highest energy demand, succeeding the other infrastructure
consumption: the hall lighting and workplace lighting. In the body shop, the HVAC
consumption exceeds 60% of the total energy demand, succeeding the consumption from
the production itself [6]. 1. Introduction p
The main function of an HVAC system is to satisfy and maintain the requirements
with respect to air and building environment in general, for example, thermal comfort, air
pollution control and the hygienic aspect, which is achieved by conditioning outdoor air to
the desired levels in occupied buildings or for product processing and transporting the
air in the room through an exhaust duct. It controls and maintains temperature, humidity,
air movement, air cleanliness and pressure differential within a defined space. Wang [7]
classified HVAC systems into comfort HVAC systems and process HVAC systems depend-
ing on the application. Comfort HVAC systems provide occupants with a comfortable and
healthy indoor climate and process HVAC systems provide and maintain the necessary air
conditioning for production, storage or other defined processes [7,8]. In order to guarantee that the indoor climate in the body shop is up to the user
requirements, the production’s emissions need to be transported out of the conditioned
space using the HVAC system, this is done using the technical exhaust air vent. One of the
main emissions in a body shop is fine dust, which is a byproduct of the welding process. In the geographical location of this study, Wrzesnia, Poland, to be precise, an occupational
exposure limit is regulated under TRGS 900 [9]. The limit values are 1.25 mg/m3 for PM2.5
and 10 mg/m3 for PM10; this is then taken up again in Chapter 2 and elaborated on in
more detail. Fine dust can be measured using specific measuring technology, specifically using an
optical sensor that measures and monitors fine dust concentrations with preconditioned air. Within the study, the fine dust is measured by this optical scattered light measurement [10]. However, this method is highly cost-intensive [11]. Digital technologies, such as the Internet of Things (IoT), offer a wide number of ap-
plications in various sectors [12]. One of the examples is to use cost-effective smart sensors,
which enable users to measure ambient conditions and upload them to the cloud [13]. This
enables users to experiment or use a more modern control concept, for example, machine
learning algorithms. Li [14] presented a hybrid model based on long short-term memory
(LSTM) network and attention mechanism (LSTM-attention) applied to the prediction of
Total Suspended Particulate Matter (TSP) concentration. 2.1. Particulate Matter (PM) Fine dust or Particulate matter (PM) is the term used to describe particles in the air
that do not sink to the ground immediately, but remain in the atmosphere for a certain
period of time. Particulate matter can come either from natural sources or from human
activities. Natural contributions include emissions from volcanoes, oceans, soil erosion,
forest and bush fires, as well as dead and eroded (abraded) organic remains, pollen, spores,
bacteria and viruses. Sources from human activities include transport, power plants, district
heating plants, waste incineration plants, private and commercial heating systems and
certain industrial processes such as metal production, especially steel production [15,16]. Airborne particles range in size from a few nanometers (nm) to about 100 microme-
ters (µm). This depends on the process and material used in the working environment. Madanchi [17] presented an experimental approach to evaluate the influence of process
parameters on the formation of emissions and particle size. The work showed that the
process parameter (cutting speed and cooling lubricant volume flow) has linear impact not
only towards the material removal process, but also the emissions and particle size. y
p
p
The size of the dust particles, characterized by “aerodynamic diameter” as a model, is
the decisive property for their classification [15,18]: •
The term ’Total Suspended Particulate Matter’ (TSP) covers all suspended particles
with an aerodynamic diameter smaller than ~60 micrometers (µm), y
•
PM10 refers to all particles with aerodynamic diameter less than 10 micrometers. •
PM2.5 refers to particles with an aerodynamic diameter of less than 2.5 micrometers •
PM2.5 refers to particles with an aerodynamic diameter of less than 2.5 micrometers. •
The smallest categorized particles are called ultra fine particles. Their aerodynamic
diameters are less than 0.1 micrometers. p
y
•
The smallest categorized particles are called ultra fine particles. Their aerodynamic
diameters are less than 0.1 micrometers. The nose, mouth and throat can filter back particles larger than 10 micrometers. A
small percentage of particles between 10 and 2.5 µm (PM10-2.5) are able to reach the
bronchiole and alveoli. Particles that have a diameter smaller than 2.5 µm (PM2.5) have a
higher probability to reach and stay in the alveoli. These particles can trigger inflammatory
processes in the lung tissue [19]. In the alveoli, respiration and blood circulation are
functionally and anatomically very closely connected [15]. 1. Introduction Li [14] showed that the model
approach can be applied to the prediction of dust concentrations in open-pit mines, thus
helping in decision support on when to carry out dust suppression work. The main scope of this paper is to study different model approaches using data
measured in an industrial welding area of an automobile body shop. The paper starts with a literature review concerning fine dust or particulate matter
and the national regulations and technical rules concerning Particulate Matter (PM) and
industrial welding. It then explains the methodology and approach used in this paper. This is followed by the factory data collection setup, data analysis and data correlations. Subsequently, the created data models or algorithms are presented with the results and
the statistical comparisons. Finally, the conclusion and future scope or applicability of
the paper are outlined. The project shows the possibilities of using an alternative data
model correlation from more common and less expensive parameters, such as air velocity,
air temperature, relative humidity, the CO2 content around the perimeter and the electric
current of the welder. By using machine learning algorithms, we show that by using
commonly available sensors in a production hall, it is possible to correlate fine dust data
cost-effectively. Energies 2021, 14, 7271 3 of 16 2.1. Particulate Matter (PM) This is why abnormalities in
one system, such as inflammations in the respiratory tract, can also additionally affect other
systems, for example, the heart or circulatory system [15]. 2.2. National Regulations and Technical Rules concerning Particulate Matter (PM) and
Industrial Welding The main focus of welding processes lies on materials (filler and base material). How-
ever, note that neither base materials nor filler materials (for example, welding materials)
are considered “hazardous substances”. “Hazardous substances” are only released as a re-
sult of a welding process, which consist primarily of particulate and/or gaseous hazardous
substances. These hazardous substances are classified within the meaning of the Regulation
on Hazardous Substances (GefStoffV). An occupational exposure limit was included in
TRGS 900 [9]. TRGS 900 shows a list of the quantities’ threshold for substances with specific
toxic properties, for example, for dusts containing heavy metals or for wood dusts and
flour dusts. If the substance in use is not listed, then a general threshold of fine dust is
applicable. These thresholds are compulsory in Germany from beginning of 2019, after a
transitional period of five years (until 2018) was established. However, welding fumes are
not dusts in the sense of the definition, as dusts are produced during mechanical processes,
for example grinding. Respectively, welding fumes are produced by thermal processes
at very high temperatures, for example, arc welding. Welding fumes can therefore not
be directly equated with dust. It consists of mainly from particles that are alveolar. In
comparison to fine dust, fumes are smaller in size, approximately between 0.2 to 1 µm [20]. This means that the welding fume particles and in unfavorable workplace situations to
impair the ability of the person exposed to the respiratory tract or damage it. Furthermore,
other negative health effects on the human organism are also to be considered [21]. A direct Energies 2021, 14, 7271 4 of 16 specific threshold for welding fumes has not yet been defined. The metal compound that
can be found in welding fumes has a dust density higher than 0.0025 mg/m3, approxi-
mately between 0.005 mg/m3 and 0.007 mg/m3 [22]. In reality, this is the reason for the
risk assessment: the dust limit values are measured and converted mathematically to get
the density of the metals from the fumes [22]. y
Basically, the dust limit value for alveolar dust is (<2.5 µm) of 1.25 mg/m3 [9]. DIN
EN 689 [23] defined the limit further, including the area analysis, control measurements,
protocol and processing of measurement data. 2.2. National Regulations and Technical Rules concerning Particulate Matter (PM) and
Industrial Welding In the automotive industry, companies such
as Volkswagen AG have to establish their safety measures and define their time interval
between control measures, based on their measurements data and national regulations. Ac-
cording to DIN EN 689 [23], the time interval between measurements should be determined
taking into account the following factors: •
process cycles taking into account normal working conditions; •
the effectiveness of process controls; •
time span until the condition is under control again; •
the variation over time of the measurement results. Based on these factors and the upper limit defined by the national regulations, Volk-
swagen AG detailed their guidelines concerning the threshold and control measurements
in welding area for alveolar dust. Using gravimetric analysis, the expositions in welding
areas are measured and controlled. 3. Methodology and Approach As methodological framework a Cyber-Physical Production Systems (CPPS) is used;
Figure 1 shows an adapted CPPS framework for this application. Data Acquisition
Data
Gathering
Decision Support
Control
Visualisation
Human in Focus
Data
Treatment &
Storage
LSTM
PREDICTED
ACTUAL
Normalized
PM10
Body Shop
ሶ𝑉: 50
ሶ
% 𝑉𝑁
Worker
Tm: 22 °C
CO2m: 600 ppm
…
Welding Area
ሶ𝑉𝐻𝑉𝐴𝐶: 100 % ሶ𝑉𝑁
ሶ𝑉: 50 % ሶ𝑉𝑁
Physical World
Design &
Control
Parameters
State &
Disturbance
Variables
Cyber World
Modeling &
Simulation
Supervised Learning
Regression
Classification
Figure 1. Schematic of CPPS framework for the use case based on the work in [2]. Physical World Design &
Control
Parameters Figure 1. Schematic of CPPS framework for the use case based on the work in [2]. The approach to integrate a CPPS in the body shop is driven by the goals of improving
energy efficiency while maintaining air quality in the production environment and being
cost efficient. The CPPS system provides a decision support by calculating the fine dust
concentration in the production environment. This enables the HVAC operator in the
physical world to use conservative sensors, such as temperature, relative humidity and Energies 2021, 14, 7271 5 of 16 CO2 to operate the HVAC system. Further, the CPPS enables a model-based control in
the future. CO2 to operate the HVAC system. Further, the CPPS enables a model-based control in
the future. With this cyber-physical HVAC system, energy efficiency, air quality and thermal
conditions can be improved in the production environment by providing decision support,
greater transparency and enabling model-predictive control in real-time. With the proposed
approach, one can measure fine dust in the air without using expensive fine dust sensor in
each welding area in a body shop. This can lead to a high cost savings when monitoring
a large body shop hall in a factory. The low-cost IoT sensor technology combined with
machine learning enables large-scale deployment with moderate costs compared to the
high-precision fine dust sensors on factory scale. 3.1. Setup for Collecting Data in the Factory Hall In order to find the correlation between the HVAC-System, air quality and production
activity, it is necessary to collect and analyze the variables on site. An experiment within
the scope of a collaboration project between TU Braunschweig and Volkswagen AG is thus
commenced. To investigate seasonal influences, experiments were conducted in winter and
summer at five consecutively working days, to be exact from 6th to 8th of August 2018 and
from 26th to 30th of November 2018. This allowed us to measure the experiment under
5 different air exchange rates, which were set 8 h before the start of each measurement. For the first three days, the reductions were concentrated on the main exhaust air vents,
the openings of which can be found directly under the ceiling of the production hall, this
is detailed Table 1. Moreover, for the last two days, we set to measure the effect on the
reductions on the technical exhaust vents, which is directly responsible for exhausting the
welding emission. Figure 2 shows the difference on the positions of the two exhaust vents
and the HVAC system used in the factory hall. Silencer
Ventilator
Filter
Shutter Flap
Weather Prot. Grid
Deflector Hood
Heater (Gas)
Heat Recovery
Outdoor Air
Exhaust Air
Supply Air
Exhaust Air
Technical
Exhaust
Exhaust
(Hall)
Figure 2. Schematic representation of the HVAC system and the difference between the two exhausts. Figure 2. Schematic representation of the HVAC system and the difference between the two exhausts. The reduction limit was set to 50% because the technical exhaust vents are the main
way to exhaust the byproducts of the welding. Table 1 lists the experimental parameters
for the work days with the expected energy saving potential in compare to the reference
day (monday), which is based on the assumption of constant fan efficiency. A change in
volume flow rate affects the fan power requirement as follows [8]: P2 = P1
V2
V1
3 Energies 2021, 14, 7271 6 of 16 for example, 10% less volume rate will lower power demand by 33%. The supply air fan
has a nominal power of 40 kW, while the exhaust air fan and the technical exhaust fan
operate at nominal power of 30 kW and 60 kW. Table 1. Parameters for the experiments in winter and summer with the theoretical electricity savings. for the experiments in winter and summer with the theoretical electricity savings. Table 1. 3.1. Setup for Collecting Data in the Factory Hall Parameters for the experiments in winter and summer with the theoretical electricity savings. Day
Supply Air
Energy Saving
Exhaust Air
Energy Saving
Techn. Exhaust
Energy Saving
Monday
75.000 m3/h
-
22.137 m3/h
-
24.000 m3/h
-
Tuesday
−13%
34%
−46%
84%
−0%
0%
Wednesday
−30%
66%
−100%
100%
−0%
0%
Thursday
−16%
41%
−0%
0%
−30%
66%
Friday
−17%
43%
−0%
0%
−50%
88% The samples were taken during welding corrections; welding of floor elements (gal-
vanized steel) with the welding torch SKS Power Feeder PF5 (MAG method); coated
with steel wire with copper with a diameter of 1.0 mm; Argon; and CO2 inert gas
welding, sanding and cleaning of welding seams. An oscillating time of at least 6 h
was taken into account, so that the air conditions in the welding area settle before the
measurements were commenced. 3.2. Data Acquisition and Analysis In order to ensure that the regulatory thresholds are well maintained, certified gravi-
metric measurements from the work safety department accompanied the experiment. This
gravimetric measurements were executed according to PN EN 689:2018, a Polish version of
EN 689 [24]. Tables 2 and 3 show the result of the gravimetric measurements respectively in
summer time between 6 and 8 August 2018 and winter time from 26 to 30 November 2018,
measured over the time period of 8 h. The gravimetric measurement devices were hung
directly on the workers shown in Figure 3. The results of the gravimetric measurements
are shown in Tables 2 and 3. Table 2. Results from the gravimetric measurements in summer. Table 2. Results from the gravimetric measurements in summer. 06.08.2018
07.08.2018
08.08.2018
09.08.2018
10.08.2018
PM2.5 (mg/m3)
0.29
3.24
0.89
0.36
0.31
PM10 (mg/m3)
<0.11
1.42
1.52
0.42
0.2 The exposition limits (PM2.5 = 1.25 mg/m3 and PM10 = 10 mg/m3) were held under
the regulatory threshold during the experiments, except for the PM2.5 on Tuesday 7 August
2018. This outlier, however, was not backed by the PM10 result on the same day, which
stayed far below the limit of 10 mg/m3. The measurements with the same air exchange
rate settings were also repeated in winter and shown in the Table 3. The measurement
results are more dependent on workers behavior, movements and routines, rather than the
reduction in air exchange rate shown in Table 1, which might explain the spike and the
nonlinear results. Table 3. Results from the gravimetric measurements in winter. 26.11.2018
27.11.2018
28.11.2018
29.11.2018
30.11.2018
PM2.5 (mg/m3)
0.43
0.26
<0.12
0.39
<0.12
PM10 (mg/m3)
0.58
0.38
0.38
0.58
0.22 Table 3. Results from the gravimetric measurements in winter. 3.3. Correlation Study between Fine Dust and Other Parameters 3.3. Correlation Study between Fine Dust and Other Parameters In order to be able to design a system which can predict the amount of values of PM10
and PM2.5 with the combination of other sensors, reference data sets are measured and
collected. 7 of 16 Energies 2021, 14, 7271 Worker
Worker
V
CT
CO2
T
RH
PM2.5
PM10
V
CT
CO2
Figure 3. Schematic representation of the experimental measurements (V = Air Velocity, CT = Electric
Current used for welding, T = Air Temperature, RH = Relative Humidity, CO2 = Carbon Dioxide). Figure 3. Schematic representation of the experimental measurements (V = Air Velocity, CT = Electric
Current used for welding, T = Air Temperature, RH = Relative Humidity, CO2 = Carbon Dioxide). Figure 3 shows a representative schematic of the measurements setup in the hand
welding area on-site. The places chosen for the sensor installations represent the spots
where workers operate manually using a hand welder during the productions, which
means the resulting air velocity, Temperature, Relative Humidity and CO2 depend greatly
on workers actions and activities. The fine dust PM2.5 and PM 10 are measured using
optical sensors as well providing a dataset for the purpose of validating the designed
algorithm. The sensor used was fine dust FDS 15 from Dr. Födisch Umweltmesstechnik AG
which has accuracy of ±5 µg/m2 and a measuring range from 2 µg/m2 to 3.000 µg/m2 [10]. y
g
g
g
g
g
Table 4 shows the results of the measurements data in winter time on 8-h average, the
data of PM2.5 and PM10 were measured using optical sensors FDS 15. With the proper
use of the data from these sensors combined with an algorithm, the amount of PM10 and
PM2.5 in the air can be predicted to a certain extent. Which variables are to be selected for
input can be decided based on the correlation analysis. The best combination of the inputs,
that gives the lowest error in the prediction, can be chosen as input variables for the model. This selection is known as feature selection [25]. From the correlation analysis, the dependency of PM10 and PM2.5 on other available
variables is noticeable. Figures 4 and 5 show the calculated linear coefficients for each
variable using Pearson and Spearman’s Rho Correlation. The correlation between and
input variables and target variable provides the basis for the feature extraction. 3.3. Correlation Study between Fine Dust and Other Parameters Current
CO2
RH
T
PM2.5
PM10
[m/s]
[A]
[ppm]
[%]
[◦C]
[mg/m3]
[mg/m3]
26 Nov 2018 08:00
0.15
2.07
855.2
34.9
21.8
0.063
0.084
26 Nov 2018 16:00
0.14
1.27
877.7
31.5
21.3
0.062
0.088
27 Nov 2018 00:00
0.13
1.30
966.5
29.8
21.3
0.061
0.091
27 Nov 2018 08:00
0.13
1.15
876.4
30.7
21.5
0.061
0.081
27 Nov 2018 16:00
0.13
1.24
847.1
30.3
21.6
0.061
0.083
28 Nov 2018 00:00
0.13
1.09
869.3
31.5
21.6
0.061
0.086
28 Nov 2018 08:00
0.13
1.25
907.4
31.1
21.6
0.064
0.079
28 Nov 2018 16:00
0.15
1.72
911.9
29.5
21.6
0.080
0.086
29 Nov 2018 00:00
0.18
1.31
999.2
26.9
21.7
0.077
0.083
29 Nov 2018 08:00
0.18
1.17
943.3
25.0
21.8
0.076
0.082
29 Nov 2018 16:00
0.21
1.57
944.2
24.6
21.8
0.076
0.082
30 Nov 2018 00:00
0.20
1.68
957.9
25.6
21.8
0.075
0.080
30 Nov 2018 08:00
0.24
3.31
890.7
26.2
21.9
0.077
0.081
V
CT
CO2
T
RH
PM 2.5 PM 10
V
CT
CO2
T
RH
PM 2.5
PM 10
1
0.083
0.044
0.073 -0.025 0.067
0.059
0.083
1
0.039
0.032
-0.13
0.14
0.15
0.044
0.039
1
0.024
-0.55
0.38
0.34
0.017
0.032
0.024
1
-0.48
0.17
0.075
-0.025
-0.13
-0.55
-0.48
1
-0.6
-0.36
0.067
0.14
0.38
0.17
-0.6
1
0.68
0.059
0.15
0.34
0.075
-0.36
0.68
1
1.00
0.75
0.50
0.25
0.00
0.25
0.50
0.75
1.00
Figure 4. Correlation analysis using Pearson Correlation. Table 4. 8-h average values of the field data measurements. V
CT
CO2
T
RH
PM 2.5 PM 10
V
CT
CO2
T
RH
PM 2.5
PM 10
1
0.083
0.044
0.073 -0.025 0.067
0.059
0.083
1
0.039
0.032
-0.13
0.14
0.15
0.044
0.039
1
0.024
-0.55
0.38
0.34
0.017
0.032
0.024
1
-0.48
0.17
0.075
-0.025
-0.13
-0.55
-0.48
1
-0.6
-0.36
0.067
0.14
0.38
0.17
-0.6
1
0.68
0.059
0.15
0.34
0.075
-0.36
0.68
1
1.00
0.75
0.50
0.25
0.00
0.25
0.50
0.75
1.00
Figure 4. Correlation analysis using Pearson Correlation. Figure 4. Correlation analysis using Pearson Correlation. 3.3. Correlation Study between Fine Dust and Other Parameters Current
CO2
RH
T
PM2.5
PM10
[m/s]
[A]
[ppm]
[%]
[◦C]
[mg/m3]
[mg/m3]
26 Nov 2018 08:00
0.15
2.07
855.2
34.9
21.8
0.063
0.084
26 Nov 2018 16:00
0.14
1.27
877.7
31.5
21.3
0.062
0.088
27 Nov 2018 00:00
0.13
1.30
966.5
29.8
21.3
0.061
0.091
27 Nov 2018 08:00
0.13
1.15
876.4
30.7
21.5
0.061
0.081
27 Nov 2018 16:00
0.13
1.24
847.1
30.3
21.6
0.061
0.083
28 Nov 2018 00:00
0.13
1.09
869.3
31.5
21.6
0.061
0.086
28 Nov 2018 08:00
0.13
1.25
907.4
31.1
21.6
0.064
0.079
28 Nov 2018 16:00
0.15
1.72
911.9
29.5
21.6
0.080
0.086
29 Nov 2018 00:00
0.18
1.31
999.2
26.9
21.7
0.077
0.083
29 Nov 2018 08:00
0.18
1.17
943.3
25.0
21.8
0.076
0.082
29 Nov 2018 16:00
0.21
1.57
944.2
24.6
21.8
0.076
0.082
30 Nov 2018 00:00
0.20
1.68
957.9
25.6
21.8
0.075
0.080
30 Nov 2018 08:00
0.24
3.31
890.7
26.2
21.9
0.077
0.081
V
CT
CO2
T
RH
PM 2.5 PM 10
V
CT
CO2
T
RH
PM 2.5
PM 10
1
0.083
0.044
0.073 -0.025 0.067
0.059
0.083
1
0.039
0.032
-0.13
0.14
0.15
0.044
0.039
1
0.024
-0.55
0.38
0.34
0.017
0.032
0.024
1
-0.48
0.17
0.075
-0.025
-0.13
-0.55
-0.48
1
-0.6
-0.36
0.067
0.14
0.38
0.17
-0.6
1
0.68
0.059
0.15
0.34
0.075
-0.36
0.68
1
1.00
0.75
0.50
0.25
0.00
0.25
0.50
0.75
1.00
Figure 4. Correlation analysis using Pearson Correlation. Table 4. 8-h average values of the field data measurements. Time
Air Vel. 3.3. Correlation Study between Fine Dust and Other Parameters Strong
correlation means that the changes in chosen features (variables) causes higher changes in
the target variable. Pearson coefficient suggests how two variables are correlated linearly. On the other hand, Spearman’s Rho coefficient shows the nonlinear monotonic relation
between two variables. The formula for the Spearman rank correlation coefficient is [26] rs = 1 −
6 ∑d2
i
n(n2 −1
! , where di = R(Xi) −R(Yi) is the difference between two ranks of each observation and n is
the number of observations. Energies 2021, 14, 7271 8 of 16 8 of 16
Table 4. 8-h average values of the field data measurements. Air Vel. Current
CO2
RH
T
PM2.5
PM10
[m/s]
[A]
[ppm]
[%]
[◦C]
[mg/m3]
[mg/m3]
0.15
2.07
855.2
34.9
21.8
0.063
0.084
0.14
1.27
877.7
31.5
21.3
0.062
0.088
0.13
1.30
966.5
29.8
21.3
0.061
0.091
0.13
1.15
876.4
30.7
21.5
0.061
0.081
0.13
1.24
847.1
30.3
21.6
0.061
0.083
0.13
1.09
869.3
31.5
21.6
0.061
0.086
0.13
1.25
907.4
31.1
21.6
0.064
0.079
0.15
1.72
911.9
29.5
21.6
0.080
0.086
0.18
1.31
999.2
26.9
21.7
0.077
0.083
0.18
1.17
943.3
25.0
21.8
0.076
0.082
0.21
1.57
944.2
24.6
21.8
0.076
0.082
0.20
1.68
957.9
25.6
21.8
0.075
0.080
0.24
3.31
890.7
26.2
21.9
0.077
0.081
V
CT
CO2
T
RH
PM 2.5 PM 10
V
CT
CO2
T
RH
PM 2.5
PM 10
1
0.083
0.044
0.073 -0.025 0.067
0.059
0.083
1
0.039
0.032
-0.13
0.14
0.15
0.044
0.039
1
0.024
-0.55
0.38
0.34
0.017
0.032
0.024
1
-0.48
0.17
0.075
-0.025
-0.13
-0.55
-0.48
1
-0.6
-0.36
0.067
0.14
0.38
0.17
-0.6
1
0.68
0.059
0.15
0.34
0.075
-0.36
0.68
1
1.00
0.75
0.50
0.25
0.00
0.25
0.50
0.75
1.00
Figure 4. Correlation analysis using Pearson Correlation. V
CT
CO2
T
RH
PM 2.5 PM 10
V
CT
CO2
T
RH
PM 2.5
PM 10
1
0.38
0.35
0.37
-0.32
-0.057 -0.079
0.38
1
-0.003
0.32
-0.46
0.14
0.13
0.35
-0.003
1
0.02
-0.45
0.18
0.14
0.37
0.32
0.02
1
-0.68
0.13
-0.073
-0.32
-0.46
-0.45
-0.68
1
-0.008
0.17
-0.057
0.14
0.18
0.13
-0.008
1
0.83
-0.079
0.13
0.14
-0.073
0.17
0.83
1
1.00
0.75
0.50
0.25
0.00
0.25
0.50
0.75
1.00
Figure 5. Correlation analysis using Spearman’s Rho Correlation. Table 4. 8-h average values of the field data measurements. Time
Air Vel. 3.3. Correlation Study between Fine Dust and Other Parameters V
CT
CO2
T
RH
PM 2.5 PM 10
V
CT
CO2
T
RH
PM 2.5
PM 10
1
0.38
0.35
0.37
-0.32
-0.057 -0.079
0.38
1
-0.003
0.32
-0.46
0.14
0.13
0.35
-0.003
1
0.02
-0.45
0.18
0.14
0.37
0.32
0.02
1
-0.68
0.13
-0.073
-0.32
-0.46
-0.45
-0.68
1
-0.008
0.17
-0.057
0.14
0.18
0.13
-0.008
1
0.83
-0.079
0.13
0.14
-0.073
0.17
0.83
1
1.00
0.75
0.50
0.25
0.00
0.25
0.50
0.75
1.00
Figure 5. Correlation analysis using Spearman’s Rho Correlation. V
CT
CO2
T
RH
PM 2.5 PM 10
V
CT
CO2
T
RH
PM 2.5
PM 10
1
0.38
0.35
0.37
-0.32
-0.057 -0.079
0.38
1
-0.003
0.32
-0.46
0.14
0.13
0.35
-0.003
1
0.02
-0.45
0.18
0.14
0.37
0.32
0.02
1
-0.68
0.13
-0.073
-0.32
-0.46
-0.45
-0.68
1
-0.008
0.17
-0.057
0.14
0.18
0.13
-0.008
1
0.83
-0.079
0.13
0.14
-0.073
0.17
0.83
1
1.00
0.75
0.50
0.25
0.00
0.25
0.50
0.75
1.00
Figure 5. Correlation analysis using Spearman’s Rho Correlation. Figure 5. Correlation analysis using Spearman’s Rho Correlation. Energies 2021, 14, 7271 9 of 16 9 of 16 Table 5 shows exemplary di as the difference between ranks of each observation of
PM2.5 and relative humidity (RH), where n defined the total number of observations,
which means total number of samples, in the case of this study approximately 350,000. Table 5. Spearman’s Rho Correlation Formula on PM2.5 and Relative Humidity (RH). Observations
PM2.5 Rank
RH Rank
d
1
10
7
3
2
124
80
44
... ... ... ... Table 5. Spearman’s Rho Correlation Formula on PM2.5 and Relative Humidity (RH). Each variable has correlation a coefficient of 1 to itself. Because both substances are
categorized as fine dust, PM10 and PM2.5 have a strong positive linear correlation to each
other. Both substances have negative intermediate correlations with relative humidity (RH)
and positive intermediate correlations with CO2. The electricity current (CT) shows a weak
positive correlation to both PM10 and PM2.5. These variables were chosen, as those are the
potential quantities which might affect the amount of PM2.5 and PM10 in the welding area. 3.4. Data Model Spearman’s rho coefficient test is used to show the monotonic behavior of the variables
to each other. PM10 and PM2.5 show a strong increasing monotonic relation with each
other and also have sufficient monotonic relation with the current (CT), CO2 and relative
humidity (RH). This result also shows that PM10 and PM2.5 have decreasing monotonic
behavior with Air Velocity (V). The combination of Pearson and Spearman’s coefficients
show that the Current (CT), CO2, Relative Humidity (RH) and Air Velocity (V) are more
suitable to serve as input variables for the model. The aim is to exclude PM2.5 as an input
and make a model which would give better prediction for PM10. In order to select the best fit model, different machine learning models were designed,
trained and tested using the available data. These includes linear regression and feedfor-
ward neural networks for regression and classification (Probabilistic Neural Network),
which contain the whole interval of possible values separated in high number of intervals. This is a particular case of application of classification. Aside from that, the design of
the models use supervised learning, which means the output target variable is already
available for the training. Different features and respectively variables were considered for
the models and the performances were compared. Current (CT), CO2, Relative Humidity
(RH) and Air Velocity (V) Features are the variables chosen as inputs for the model. The
splitting of the measured data is set at random, accordingly, the ratio of the training and
test data sets was set manually. Figure 6 shows the schematic of the Feedforward Neural
Network (FFNN) Model for regression using Current (CT), CO2, Relative Humidity (RH)
and Air Velocity (V) as Inputs, feeding 2 Hidden Layers with each 10 Nodes and PM10
as output. 10 of 16 Energies 2021, 14, 7271 Input Layer ∈ℝ⁴
Hidden Layer ∈ℝ¹⁰
Hidden Layer ∈ℝ¹⁰
Output Layer ∈ℝ¹
CT
CO2
RH
V
PM10
Figure 6. Feedforward Neural Network (FFNN) schematic with 4 inputs, 2 hidden layers @10 nodes. Hidden Layer ∈ℝ¹⁰ Hidden Layer ∈ℝ¹⁰ Hidden Layer ∈ℝ¹⁰ Input Layer ∈ℝ⁴ Output Layer ∈ℝ¹ Figure 6. Feedforward Neural Network (FFNN) schematic with 4 inputs, 2 hidden layers @10 nodes. Figure 6. 3.4. Data Model Feedforward Neural Network (FFNN) schematic with 4 inputs, 2 hidden layers @10 no The schematic of the Feedforward Neural Network Model for classification (Proba-
bilistic Neural Network) using the same inputs, two pattern (hidden) layers and PM10 as
output is shown in Figure 7. The number of nodes in the pattern layers are equal to the
number of training points in the dataset. In the first pattern layer, the training data set uses
40% of the data, while the second layer utilizes 28% of the data set. Input Layer ∈ℝ⁴
Pattern Layer
Patern Layer
Summation Layer
Output Layer ∈ℝ¹
CT
CO2
RH
V
Σ
Σ
PM10
40 %
of data
28 %
of data
Figure 7. Probabilistic Neural Network (PNN) schematic with 4 inputs and 2 pattern layers. Input Layer ∈ℝ⁴
Pattern Layer Patern Layer Figure 7. Probabilistic Neural Network (PNN) schematic with 4 inputs and 2 pattern layers. Last, Long Short-Term Memory (LSTM), a deep learning algorithm, is used in this
study, the data from the aforementioned parameters are used as input variables, 1 dense
layer with 25 LSTM Blocks and the particulate matter PM10 as output variables. Figure 8
shows the schematic of the LSTM model for this study. 11 of 16 Energies 2021, 14, 7271 Input Layer ∈ℝ⁴
LSTM Layer ∈ℝ25
Dense Layer ∈ℝ25
Output Layer ∈ℝ¹
n =25
CT
CO2
RH
V
PM10
n =25
Figure 8. Long Short-Term Memory (LSTM) schematic with 4 inputs and 1 dense layer. PM10 Output Layer ∈ℝ¹ Figure 8. Long Short-Term Memory (LSTM) schematic with 4 inputs and 1 dense layer. The models were trained with different amount of data starting from 20% to 80%. The
models did not overfit until 40%, as the results continue to get better with the increase in
the amount of training data. Models showed little betterment with increase in training
data above 40%. The computational time increases drastically with the increase in training
data above 40% for LSTM and FFNN, so 40% training data was the ideal choice to compare
the models. After building and training the model with the defined amount of data, the rest of
the measured data was used for validating (testing) the model. The model is tested with
different kinds of statistical methods such as R2 criteria for best fit, Minimum Absolute Error
(MAE), Minimum Square Error (MSE) and Root Mean Square Error (RMSE). 3.4. Data Model Visualization
as well as statistical evaluation have been carried out to compare the actual data and the
predicted data. By comparing different models with statistical as well as visual criteria, the
best model for the application is chosen. 3.4.1. Model Result of Linear Regression, Feedforward Neural Network and Probabilistic
Neural Network From the correlation study, it was sufficient to say that a linear relationship exists up
to some extent between the input variables and desired output. Building a linear regression
model using the chosen variables from the correlation study seems to be a logical way to
go. After training the parameters by using the training data, which consist of 40% of the
data set, the model was tested using the rest of the data set. g
Figure 9 shows a direct comparison of the prediction from the linear regression model
and the test data from the measured data set. An evident discrepancy exist can be seen
from the comparison. Visually, Figure 10 shows a more satisfying result, which means the
feedforward neural network model is a better fit of a model compared to linear regression. However, both results are not sufficient to use because of their inaccuracy. Both models use
regression methods, in which the output layer consists of only one neuron and it gives a
continuous output value. Supervised learning classification methods also serve as alternative; they are used in
building the model using probabilistic Neural Network. The result, thus the comparison to
the test data is shown in the Figure 11, which displays a more satisfying result in compare
to Figures 9 and 10. However, merely relying on visual analysis, a scientific analysis would
not be valid. 12 of 16 12 of 16 Energies 2021, 14, 7271 0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Normalized PM10
26.Nov.2018
27.Nov.2018
28.Nov.2018
29.Nov.2018
30.Nov.2018
Linear Regression
Actual
Predicted
Figure 9. Comparison between the Linear Regression prediction and the test data. 0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Normalized PM10
26.Nov.2018
27.Nov.2018
28.Nov.2018
29.Nov.2018
30.Nov.2018
Feed Forward Neural Network
Actual
Predicted
Figure 10. Comparison between the Feedforward Neural Network prediction (FFNN) and the test data. 3.4. Data Model Comparison between the Long short-term memory (LSTM) prediction and the test data. Figure 12. Comparison between the Long short-term memory (LSTM) prediction and the test data. 3.4. Data Model 0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Normalized PM10
Probabilistic Neural Network 0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Normalized PM10
26.Nov.2018
27.Nov.2018
28.Nov.2018
29.Nov.2018
30.Nov.2018
Linear Regression
Actual
Predicted 0
0.05
0.1
0.15
0.2
Nor
26.Nov.2018
27.Nov.2018
28.Nov.2018
29.Nov.2018
30.Nov.2018
Actual
Predicted
Figure 9. Comparison between the Linear Regression prediction and the test data. 0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Normalized PM10
26.Nov.2018
27.Nov.2018
28.Nov.2018
29.Nov.2018
30.Nov.2018
Feed Forward Neural Network
Actual
Predicted
Figure 10. Comparison between the Feedforward Neural Network prediction (FFNN) and the test data. 0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Normalized PM10
26.Nov.2018
27.Nov.2018
28.Nov.2018
29.Nov.2018
30.Nov.2018
Probabilistic Neural Network
Actual
Predicted
Figure 11. Comparison between the Probabilistic Neural Network (PNN) prediction and the test data. Figure 9. Comparison between the Linear Regression prediction and the test data. 0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Normalized PM10
26.Nov.2018
27.Nov.2018
28.Nov.2018
29.Nov.2018
30.Nov.2018
Feed Forward Neural Network
Actual
Predicted Feed Forward Neural Network Figure 10. Comparison between the Feedforward Neural Network prediction (FFNN) and the test data. 0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Normalized PM10
26.Nov.2018
27.Nov.2018
28.Nov.2018
29.Nov.2018
30.Nov.2018
Probabilistic Neural Network
Actual
Predicted Figure 11. Comparison between the Probabilistic Neural Network (PNN) prediction and the test data. Figure 11. Comparison between the Probabilistic Neural Network (PNN) prediction and the test data. Energies 2021, 14, 7271 13 of 16 For example, the results shown in Figure 12, which show the visual representation of
LSTM model output with the actual measured data, cannot show the difference or benefit
of LSTM model compared to PNN model in Figure 11. Therefore, one needs to compare
the results using statistical methods as well. For example, the results shown in Figure 12, which show the visual representation of
LSTM model output with the actual measured data, cannot show the difference or benefit
of LSTM model compared to PNN model in Figure 11. Therefore, one needs to compare
the results using statistical methods as well. 0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Normalized PM10
26.Nov.2018
27.Nov.2018
28.Nov.2018
29.Nov.2018
30.Nov.2018
LSTM
Actual
Predicted 0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
Normalized PM10
26.Nov.2018
27.Nov.2018
28.Nov.2018
29.Nov.2018
30.Nov.2018
LSTM
Actual
Predicted
Figure 12. 3.4.2. Statistical Analysis of the Models In order to do statistical checks, the models are tested using different kinds of methods,
such as R2-criteria for best fit, Minimum Absolute Error (MAE), Minimum Square Error
(MSE) and Root Mean Square Error (RMSE) and using their results the best fit model can
be chosen. Table 6 shows that the LSTM Model has the lowest error in all error checks and the
best squared correlation. In contrast to the linear regression model that shows a poor fit on
the R2-Corellation and the lowest performance on the error tests, the LSTM Model shows
good results, which is well matched with the visual comparison of Figures 4 and 5, and
thus supports the proof that LSTM is capable to be the best fit model for this study. Table 6. Results of the statistical checks of the models with Current (CT), CO2, Relative Humidity
(RH) and Air Velocity (V) as inputs. Table 6. Results of the statistical checks of the models with Current (CT), CO2, Relative Humidity
(RH) and Air Velocity (V) as inputs. Model
R2
MAE
MSE
RMSE
Linear Regression
0.008
0.03563
0.00377
0.05689
FNN
0.211
0.02336
0.00301
0.05126
PNN
0.453
0.01901
0.00267
0.04956
LSTM
0.821
0.01020
0.00122
0.0257 In order to get a better result, one could use a cumulative training method. A cumula-
tive learning method uses aggregation of data as it grows with time. Consequently, it uses
knowledge acquired on prior training to improve learning performance on subsequent
training. On the contrary, a static training method uses discrete data, which means for each
new training time period the algorithms are reset and fed with new data. Fixed training
data are applied to a machine learning algorithm, and it does not use any knowledge
from prior training. Therefore, cumulative method reuses learned knowledge to constrain
new training, whereas static method depends entirely upon new training data as external
inputs [27]. Thor [28] gave further description and definition of cumulative learning in the
context of machine learning in detail. Figure 13 shows the comparison of static and cumulative training methods and the
statistic result from this study according to R2 criteria. In the static training, the algorithm
was trained for five days each month with new data. On the other hand, cumulative Energies 2021, 14, 7271 14 of 16 14 of 16 training uses aggregated data of the current and previous months. 3.4.2. Statistical Analysis of the Models The cumulative training
method showed a gradually increasing R2 score reaching 0.81 R2, while the static method
does not show a constant behavior and staying under 0.78 R2. This shows, that in training
the LSTM Model, the cumulative training method is preferred. Feb
March
April
May
June
Training period (5 days in each month)
0.74
0.75
0.76
0.77
0.78
0.79
0.80
0.81
0.82
R2 score
Cumulative
Static
Figure 13. Long Short-Term Memory (LSTM) model analysis. Figure 13. Long Short-Term Memory (LSTM) model analysis. 4. Conclusions and Future Scope Because PM10 and PM2.5 Energies 2021, 14, 7271 15 of 16 15 of 16 show a strong increasing correlation with each other, PM2.5 could be excluded as an output
variable. This will save a generous amount of computing time and cost. As supervised
machine learning and deep learning algorithms are used in this study, the data from the
aforementioned parameters are used as input variables and the particulate matter as output
variables. The data were then split for training and testing of the models. The models are
then tested statistically using different methods, such as R2 criteria for best fit, Minimum
Absolute Error (MAE), Minimum Square Error (MSE) and Root Mean Square Error (RMSE). This shows that LSTM dominated the test with 0.821 discrepancy on R2, 0.01020 on MAE,
0.00122 on MSE and 0.0257 on RMSE. As a comparison, the Linear Regression Model
showed a poor result with 0.008 discrepancy on R2, 0.03563 on MAE, 0.00377 on MSE and
0.05689 on RMSE. The results were also examined using graphical method. The LSTM or
Long Short-Term Memory showed the best result and therefore is best suited for the HVAC
control concept. In the future it is possible to enhance the HVAC control using the LSTM model. It could
be possible to install several micro controllers in the factory hall, that send the acquired data
that is not expensive to measure data, such as relative humidity, CO2, electricity current
and air velocity. Data can then be used to train the LSTM model continuously. The output
of the models can send computed fine dust values in real time to the HVAC system, which
would be used as control parameter, besides typical control parameters, such as desired
temperature, relative humidity and CO2 especially on factory scale, the cost savings would
be significant and are very interesting for factory operators and planners. Author Contributions: Y.W.: Conceptualization, Methodology, Validation, Investigation, Data Cura-
tion, Writing—Original draft, Visualization, Project administration. M.V.: Conceptualization, Method-
ology, Validation, Investigation, Data Curation, Writing—Reviewing and Editing. R.K.: Methodology,
Software, Visualization, Investigation, Data Curation. C.F.: Supervision. C.H.: Supervision. All
authors have read and agreed to the published version of the manuscript. 4. Conclusions and Future Scope Funding: The research regarding the presented use case in this paper was funded by the Federal
Ministry for Economic Affairs (BMWi) by means of the 7th Energy Research Programme of the
German Federal Government under grant number 03ET1660A (3DEMO—Safe and energy efficient
factories through 3D emission monitoring). Institutional Review Board Statement: Not applicable. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Informed Consent Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: Restrictions apply to the availability of these data. Data was obtained
from Volkswagen AG and are available from the authors with the permission of Volkswagen AG. Data Availability Statement: Restrictions apply to the availability of these data. Data was obtained
from Volkswagen AG and are available from the authors with the permission of Volkswagen AG. Conflicts of Interest: The authors declare no conflicts of interest. The results, opinions and conclu-
sions expressed in this paper are not necessarily those of Volkswagen AG. Conflicts of Interest: The authors declare no conflicts of interest. The results, opinions and conclu-
sions expressed in this paper are not necessarily those of Volkswagen AG. 4. Conclusions and Future Scope This paper studied proof of concept for the Heating, Ventilation and Air-Conditioning
(HVAC) system for a welding area. The proof of concept was modeled using four different
machine learning algorithms and their performances were compared. The algorithms im-
plemented were linear regression, feedforward neural network for regression, probabilistic
neural network (Bayesian neural networks) for classification and Long Short-Term Memory
(deep learning algorithm). Long Short-Term Memory showed the best result and potential
for the control system. y
A complete cyber-physical HVAC system in a body shop use case for the substitution
of cost-intensive fine dust sensors was presented. The CPPS is then applied and validated
in a real-world environment in one of the welding areas of Volkswagen’s production hall
in Wrzesnia, Poland. A setup was configured and established based on the regulatory
threshold to collect experimental data during production hours, in order to have a solid
validation ground. The data were collected in 2 phases (in summer and winter), each
extended through 5 production days. The concerned data set consist of air temperature,;
relative humidity; air velocity; electric current used for welding; carbon dioxide; inhalable
coarse particles; PM10, which are dust particles with a diameter of 10 micrometers (10 µm)
or less and fine particles; and PM2.5, which has a diameter of 2.5 µm or less. These were measured in the welding area during manual welding corrections, welding
of floor elements (galvanized steel) with the welding torch (MAG method), sanding and
cleaning of welded seam. As a double-proofing measure, 8-hour gravimetric measurements
were taken, commissioned by the Volkswagen work safety department, in order to ensure
that the reductions of air exchange rate kept the exposition thresholds under the regulated
limits. Gravimetric measurement (respectively analysis) describes a method to quantify a
substance or chemical constituent in a mixture based on its mass. In our case, the relevant
substance is fine dust and the mixture is air. The gravimetric measurements were executed
according to PN EN 689:2018. It showed that the reduction of air exchange rate does not
have a linear correlation with the change in the amount of fine dust in the working area. The correlation study according to Spearman’s rho and Pearson showed that only four
variables have direct correlation with the outputs (PM10 and PM2.5): relative humidity,
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Cham, Switzerland, 2019; Volume 7, pp. 198–208. ISBN 978-3-030-27004-9. [CrossRef]
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Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang Night Paradise
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available at http://ejournal.unp.ac.id/students/index.php/pek/index available at http://ejournal.unp.ac.id/students/index.php/pek/index ONLINE ISSN 2654-8429 Vol. 4 No. 4, 2021
Page 551-558 Vol. 4 No. 4, 2021
Page 551-558 Published by Jurusan Pendidikan Ekonomi
Fakultas Ekonomi Universitas Negeri Padang, Indonesia Published by Jurusan Pendidikan Ekonomi
Fakultas Ekonomi Universitas Negeri Padang, Indonesia Keywords : Experiential Marketing and Visitor Satisfaction Keywords : Experiential Marketing and Visitor Satisfaction This is an open access article distributed under the Creative Commons 4.0 Attribution License, which permits unrestricted use,
distribution, and reproduction in any medium, provided the original work is properly cited. ©20121 by author. 551
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise 51
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise Tri Sugiarti Ramadhan 1, Nanik Wahyuningtiyas 2
Jurusan Manajemen, Fakultas Ekonomi & Bisnis, Universitas Islam Malang
trisugiarti@unisma.ac.id Tri Sugiarti Ramadhan 1, Nanik Wahyuningtiyas 2
Jurusan Manajemen, Fakultas Ekonomi & Bisnis, Universitas Islam Malang
trisugiarti@unisma.ac.id Abstract : The purpose of this study was to determine the effect of the Dimension Experiential
Marketing (Y) on visitor satisfaction at Malang Night Paradise. The population taken in this
study were visitors who came to visit Malang Night Paradise Tourism. This research includes
visitor satisfaction variable as dependent variable and dimension experiential marketing variable
as independent variable consisting of Sense(X1), Feel(X2), Think(X3), Act(X4) and Relate(X5). in
this study using accidental sampling technique as many as 96 respondents. Simultaneously, the
Experiential Marketing variable has a significant effect on visitor satisfaction of Malang Night
Paradise. Then partially there are two variables that do not have a significant effect, namely the
taste variable and the related variable. Meanwhile, the other three variables, namely feel (X2),
think (X3), and act (X4) have a significant effect on the visitor satisfaction variable (Y) at
Malang Night Paradise. With an R2 value of 63.7%, while 36.3% is influenced by other factors
that can affect visitor satisfaction. Keywords : Experiential Marketing and Visitor Satisfaction Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata
Malang Night Paradise Tri Sugiarti Ramadhan 1, Nanik Wahyuningtiyas 2
Jurusan Manajemen, Fakultas Ekonomi & Bisnis, Universitas Islam Malang
trisugiarti@unisma.ac.id PENDAHULUAN Negara Indonesia merupakan negara yang sangat indah dan memiliki Sumber Daya
Alam (SDA) yang kaya dan sangat melimpah. Melimpahnya SDA ini merupakan potensi yang
dapat dilihat untuk pembangunan kepariwisataan menjadi salah satu sektor unggulan untuk
meningkatkan penerimaan devisa. Indonesia memiliki visi kepariwisataan yang tertuang
dalam Depbudpar (2000) adalah “Pariwisata Menumbuh kembangkan Kesejahteraan dan
Perdamaian” dari Visi ini didapatkan Misi yang dimaksudkan agar pengembangan dan
pendayagunaan berbagai potensi di industri pariwisata dapat memberikan sumbangsih
yang akan berpengaruh bagi Negara Indonesia. Parwiwisata menjadi sektor ekonomi yang
penting di Indonesia. pariwisata menjadi penyumbang devisa negara terbesar ke empat setelah
industri agrikultural, manufaktur otomotif dan pertambangan. Kekayaan alam dan budaya merupakan komponen penting dalam pariwisata di
Indonesia. Indonesia memiliki ribuan pulau yang terbentang dari Sabang sampai Merauke serta
memiliki ciri khas dan budaya yang berbeda di setiap daerahnya. Hal ini menjadi keunggulan 551
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise Indonesia untuk menarik minat wisatawan berkunjung ke Indonesia. Jumlah pengunjung
mancanegara yang datang ke Indonesia setiap tahunnya terus mengalami peningkatan yakni
dari 10.406.759 di tahun 2015 menjadi 12.023.971 di tahun 2016 atau tumbuh sebesar 15,54%
(sumber: Ditjen Imigrasi dan BPS (diolah kembali oleh Asdep Litbangjakpar Kemenpar). Pertumbuhan ekonomi disektor pariwisata seperti sekarang menjadi kesempatan yang
dilihat bagi para pelaku kegiatan bisnis. Sekarang banyak tempat wisata baru yang
bermunculan salah satunya adalah wilayah Kota Malang. Kota Malang saat mulai menjadi
pusat perhatian bagi wisatawan domestik sebagai salah satu tujuan untuk berwisata. Besarnya
minat wisatawan untuk datang berlibur di Kota Malang mengakibatkan persaingan bisnis yang
kuat antar perusahaan penyedia pelayanan wisata. Dal hal ini pelaku bisnis harus mampu menerapkan konsep marketing yang dapat
memberikan pengalaman yang unik dan postif kepada pengunjung atau yang biasa disebut
dengan Experiential Marketing. Experiential Marketing merupakan konsep pemasaran yang
berfokus pada emosional dari konsumen, pada konsep ini pemasar membuat konsep
pemasaran dengan menciptakan pengalaman yang bersifat positif dan berkesan menarik bagi
konsumen. Menurut Schmitt dalam Kartajaya (2006:228), “experiential marketing dapat
dihadirkan melalui lima unsur yaitu panca indera (sense), perasaan (feel), cara berpikir (think),
kebiasaan (act) dan pertalian atau relasi (relate)”. Perusahaan sekarang ini dituntut untuk bisa menghadirkan pengalaman yang menarik melalui
dimensi Experiential Marketing (sense, feel, think, act, dan relate) tersebut dengan maksimal. ini
akan berpengaruh pada kondisi emosional/persepsi konsumen terhadap produk atu jasa yang
ditawarkan oleh perusahaan. Schiffman dalam Wicaksono (2005:2) menyatakan bahwa
“pelanggan melakukan keputusan berdasarkan persepsi yang dimiliki ketimbang kenyataan”. Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise PENDAHULUAN Hal ini menunjukan bahwa citra kualitas yang baik tidak berdasarkan prsepsi perusahaan,
melainkan berdasarkan persepsi pelanggan (Tjiptono, 2002:61). Evaluasi pelanggan terhadap jasa merupakan perbandingan antara harapan pelanggan
dengan tafsiran atau persepsi mengenai jasa yang senyatanya diterima”. Perbandingan tersebut
akan menimbulkan perasaan puas dan tidak puas pelanggan terhadap produk atau jasa yang
yang ditawarkan oleh perusahaan, sehingga dapat disimpulkan bahwa presepsi memiliki
kaitan yang cukup erat terhadap tingkat kepuasan konsumen. (Schiffman dalam Wicaksono
(2005:3). Wisata di kota Malang memang sangat populer, selain karena lokasinya yang strategis
sebagai kawasan wisata dengan suhu udara yang sejuk. Objek wisata Malang Night Paradise
merupakan dan tempat hiburan keluarga dikota Malang yang menawarkan 2 taman hiburan
utama yang berisi taman lampion dan taman dinosaurus. tempat wisata ini terletlak disatu
lokasi dengan Hawai Water Park yaitu berada di JL. Graha Kencana Raya Karanglo No.66,
Karanglo Balearjosari, kec. Blimbing, Malang. Jawa Timur. Malang Night Pradise baru dibuka
pada tanggal 19 juni 2017. Meskipun tergolong baru, tetapi pengunjung yang mendatangi
wisata ini terbilang lumayan banyak Keberadaan Experiential Marketing sangat bermanfaat
dalam menciptakan Visitor satisfaction karena perusahaan bisa lebih menyentuh emosi dari
setiap pelanggan atas jasa yang sudah dirasakan. ini sejalan dengan penelitian yang dilakukan
oleh Jannah (2014), dalam penelitiannya berjudul “Pengaruh Strategi Experiential Marketing 552
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise Terhadap Kepuaan pengunjung Museum Sepuluh Nopember Surabaya”, hasil penelitian
menunjukkan variabel sense, feel, think, act, dan relate secara simultan berpengaruh terhadap
kepuasan pengunjung, kemudian secara parsial hanya variabel sense dan relate berpengaruh
signifikan terhadap kepuasan pengunjung. Dimensi Experiential marketing merupakan suatu konsep pemasaran yang berfokus
pada penciptaan pengalaman secara emosional kepada konsumen dengan tujuan untuk
membentuk rasa loyal konsumen terhadap produk/jasa yang ditawarkan oleh perusahaan. dengan memberikan pengalaman yang unik dan postif terhadap konsumen perusahaan
berharap dapat memenuhi harapan konsumen atau bahkan melebihinya, sehingga tercipta
Visitor satisfaction. Apabila penerapan Experiential Marketing ini tidak dilakukan, maka akan
kesulitan untuk mengukur Visitor satisfaction yang berkunjung pada tempat wisata Malang
Night Paradise. Tujuan penelitian ini adalah untuk melihat pengaruh sense, feel, think, act dan
relate terhadap Visitor Satisfation Malang Night Paradise secara simultan dan parsial. 553
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise METODE PENELITIAN Jenis penelitian yang digunakan dalam penelitian ini adalah explanatory. Menurut
Singarimbun dan Effendi (2008: 66) explanatory adalah penelitian yang menjabarkan hubungan
kausal antara variabel-variabel penelitian melalui pengujian hipotesis yang telah dirumuskan
sebelumny. Dalam penelitian Ini Dimensi Experiential Marketing Sebagai variabel bebas (X) dan
Kepuasan Pengunjung sebagai veriabel terikat (Y). Populasi dalam penelitian ini adalah
pengunjung yang telah berkunjung ke Malang Night Paradise dengan jumlah pengunjung di
bulan Oktober 2020 sebanyak 2.476 orang dan Sampel dalam penelitian ini adalah sebagian dari
pengunjung Malang Night Paradise. Teknik penentuan sampel ini mengacu pada pendapat
Slovin. Untuk Sampel yang di gunakan sebagai responden dalam penelitian ini sebanyak 96
responden. Teknik Sampling Insidental (accidental sampling) menjadi teknik yang dipilih dalam
pengambilan sampel pada penelitian ini. 554
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise Uji Hipotesis Hasil uji regresi linier berganda digunakan untuk mengetahui besarnya pengaruh variabel
experiential marketing (sense, feel, think, act, relate) terhadap variabel Kepuasan Pengunjung
yang disajikan dalam tabel berikut: Hasil uji regresi linier berganda digunakan untuk mengetahui besarnya pengaruh variabel
experiential marketing (sense, feel, think, act, relate) terhadap variabel Kepuasan Pengunjung
yang disajikan dalam tabel berikut: Tabel 1. Uji Analisis Regresi
Variabe
l
B
Std. Error
SC. Beta
t hitung
Sig. Ket
X1 → Y
, 021
.047
.029
.443
.659
Tidak
Signifikan
X2 → Y
,265
.042
.424
6.363
.000
Signifikan
X3 → Y
,370
.042
.571
8.786
.000
Signifikan
X4 → Y
,124
.041
.226
3.452
.001
Signifikan
X5 → Y
,045
.040
.073
1.146
.255
Tidak
Signifikan
Constanta
: -1.234
Fhitung : 31.559
R
: 0,798
Sig F
: 0,000
R2
: 0,617
Sumber: Data diolah 2021 Tabel 1. Uji Analisis Regresi Sumber: Data diolah 2021 Dari hasil analisis diperoleh hasil bahwa besarnya pengaruh Dimensi
Experiential Marketing (X) terhadap Kepuasan Pengunjung (Y) ditunjukkan dengan nilai R2
sebesar 0,617 (61,7%). Dapat diketahui variabel bebas yaitu dimensi Experiential Marketing
yang meliputi variable sense, feel, tink, act, relate secara bersama-sama dapat menjelaskan
bahwa variabel terikat yaitu Visitor Satisfaction sebesar 63,7%, sedangkan sisanya sebesar
36,3% dijelaskan oleh variabel lain yang dalam penelitian ini tidak diteliti. Hasil uji hipotesis sebagai berikut: Hasil uji hipotesis sebagai berikut: Hasil uji hipotesis sebagai berikut:
H1: Variabel sense (X1), feel (X2), think (X3), act (X4), dan relate (X5) berpengaruh secara simultan
(terikat) terhadap Variabel Visitor Satisfaction (Y) Malang Night Paradise
H2: Variabel sense (X1), feel (X2), think (X3), act (X4), dan relate (X5) berpengaruh secara Parsial
(bebas) terhadap Variabel Visitor Satisfaction (Y) Malang Night Paradise H2: Variabel sense (X1), feel (X2), think (X3), act (X4), dan relate (X5) berpengaruh secara Parsi
(bebas) terhadap Variabel Visitor Satisfaction (Y) Malang Night Paradise Uji Asumsi Klasik Uji asumsi klasik dalam penelitian ini adalah Uji Normalitas, Uji Multikolinearitas dan
Uji Heteroskedastisitas. Uji normaitas didasarkan nilai One-Sample Kolmogorov-Smirnov,
diketahui bahwa data dalam penelitian ini berdistribusi normal, yang ditunjukkan dengan nilai
sig > dari 0,05 (0,428>0,05). Uji Multikoliniearitas diketahui nilai Variance Inflaction Faktor (VIF)
pada masing-masing variabel memiliki nilai < 10 dan nilai tolerance > 0,1. Jadi dapat diketahui
tidak terjadi multikolinearitas antara variabel bebas Experiential Marketing (X) terhadap variabel
terikat kepuasan pengunjung (Y). Sedangkan untuk Uji Heteroskedastisitas dalam penelitian ini
menunjukkan bahwa plot menyebar secara merata di atas dan di bawah angka 0 pada sumbu
Y tanpa membentuk sebuah pola tertentu. Dengan demikian maka dapat disimpulkan bahwa
variabel pada pengujian penelitian ini bebas dari gejala heterokedastisitas. Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise Pembahasan Berdasarkan hasil analisis dapat diketahui bahwa dari kelima Dimensi Experiential
Marketing yang meliputi variable (sense, feel, think, act, relate) terdapat dua dimensi yang tidak
berpengaruh secara signifikan terhadap variable Visitor Satisfaction (Y) Malang Night Paradise,
yaitu dimensi sense (X1), dan relate (X5) karena kedua Dimensi Experiential Marketing tersebut
memiliki t-hitung < t-tabel yaitu sebesar 0,443 < 1,662 Hal ini membuktikan bahwa variable
bebas (X1) atau variabel sense tidak berpengaruh signifikan terhadap variable terikat (Y ) atau
Visitor Satisfaction. Karena kebanyakan pengunjung tidak menjadikan kesejukan udara, kebersihan area wisata, dan desain eksterior yang menarik sebagai tolok ukur kepuasan
mereka. Sehingga data yang diperoleh dalam penelitian ini tidak dapat membuktikan
keterkaitan antara sense (X1) dengan Kepuasan Pengunjung (Y). dan variabel relate (X5) sebesar
1,146 < 1,662 Ini membuktikan bahwa secara bebasa (X5) atau variabel relate (X5) tidak
berpengaruh signifikan terhadap (Y) atau variabel Visitor Satisfaction. Karena jarang terjadi
keluhan dari pengujung, serta pelayanan yang dirasakan pengunjung tidak begitu istimewa. Ini
berarti data yang dikumpulkan dalam penelitian ini tidak dapat membuktikan keterkaitan
antara variable relate (X5) dengan variable Visitor Satisfaction (Y). Sementara itu ketiga Dimensi Experiential Marketing yang meliputi variable Feel (X2), Think
(X3), Act (X4) berpengaruh secara signifikan terhadap variable Visitor Satisfaction (Y) pada wisata
Malang Night Paradise. Kemudian secara simultan variabel Dimensi Experiential Marketing yang
meliputi variable (sense, feel, think, act, relate) berpengaruh signifikan terhadap variable Visitor
Satisfaction (Y) pada wisata Malang Night Paradise. Penelitian ini sejalan dengan penelitian yang dilakukan oleh Jatmiko dan Andharini (2012),
dalam penelitiannya yang berjudul “Analisis Experiential Marketing dan Loyalitas Pelanggan
Jasa Wisata (Studi Pada Taman Rekreasi Sengkaling Malang), secara parsial feel dan sense
berpengaruh postif signifikan terhadap loyalitas pelanggan, sedang think, act, dan relate
berpengaruh positif tidak signifikan terhadap loyalitas pelanggan., namun penelitian ini
bertentangan dengan penelitian yang dilakukan oleh Jannah (2014), dalam penelitiannya yang
berjudul “Pengaruh Strategi Experiential Marketing Terhadap Kepuaan pengunjung Museum
Sepuluh Nopember Surabaya”, Secara simultan terdapat pengaruh signifikan, namun secara
parsial terdapat tiga variabel yang tidak signifikan yaitu Feel, Think, dan Act. 555
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise 5
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Ni ht P
di SIMPULAN Berdasarkan hasil penelitian dan pembahasan yang telah dilakukan maka dapat ditarik
kesimpulan bahwa variabel bebas (parsial) Sense dan relate atau (X1) dan (X5) tidak berpengaruh
secara signifikan terhadap variebel Visitor Satisfaction (Y) pada Wisata Malang Night Paradise. Namun, pada variabel bebas (parsial) lainnya yang meliputi variabel feel, think dan act atau (X2),
(X3), (X4) berpengaruh secara signifikan terhadap variabel Visitor Satisfaction (Y) pada Wisata
Malang Night Paradise. Dan secara terikat (simultan) seluruh variabel Dimensi Experiential
Marketing yang meliputi variabel (sense, feel, think, act, relate) berpengaruh signifikan terhadap
variabel Visitor Satisfaction (Y) pada wisata Malang Night Paradise. Pada penelitian terdapat keterbatasan terkait jawaban yang diberikan oleh sampel dari
kuisioner yang dibagikan tidak menunjukkan keadaan sebenarnya, serta terbatasnya jumlah
responden dalam penelitian ini yaitu sebesar 96 responden. Penelitian ini sudah dilaksanakan
sesuai dengan prosedur ilmiah, namun masih memiliki keterbatasan seperti hal-hal yang
mempengaruhi Visitor Satisfaction dalam penelitian ini hanya berasal dari Dimensi Experiential
Marketing saja yang menghasilkan nilai R2 sebesar 63,7%, sedangkan sebesar 36,3% dipengaruhi
oleh faktor lain yang dapat mempengaruhi Visitor Satisfaction (Y) Berdasarkan hasil kesimpulan dari hasil penelitian, maka diajukan beberapa saran kepada
pihak wisata Malang Night Paradise diharapkan mempertahankan serta memperhatikan strategi Experiential Marketing, khususnya dalam hal pengalaman yang melibatkan panca
idera (sense) dan juga hubungan dengan pengunjung (relate) agar dapat lebih meningkatkan
Visitor Satisfaction pada Wisata Malang Night Paradise. peneliti berikutnyanya diharapkan untuk
menyempurnakan atau melenngkapi penelitian ini dengan menambahkan beberapa variabel
lain yang mempengaruhi Visitor Satisfaction pada Wisata Malang Night Paradise serta menambah
jumlah dari responden agar diperoleh hasil yang lebih akurat dan signifikan. DAFTAR PUSTAKA Algifari. 2000. Analisis Regresi: Teori, Kasus dan Solusi Edisi 2. Yogyakarta: BPFE UGM Alma, Dan Buchari. 2007. Manajemen Pemasaran dan Pemasaran Jasa. Bandung : Alfabeta. Andreani, Dan Fransisca. 2007.”Experiential Marketing (Sebuah Pendekatan Pemasaran)”. Jurnal
Manajemen Pemasaran, Vol.2 No.1 April hal.1 – 8. Arikunto, Suharsimi. 2010. Prosedur Penelitian: Suatu Pendekatan Praktek. Jakarta: PT Rineka Cipta. Bitner, M. J. Dan Zeithaml, V. A. 2003. Service Marketing (3rd ed.). New Delhi: Tata McGraw Hill. Dewi, Ratih Dkk. 2013. Pengaruh Experiential Marketing Terhadap Kepuasan Pelanggan dan
Dampaknya Terhadap Loyalitas Pelanggan (Survwei Pada Pelanggan Tempat Wisaa Jawa
Timur Park 1 Kota Wisata Batu). Fakultas Ilmu Administrasi. Universitas Brawijaya Malang Ghozali, Dan Imam. 2007. Analisis Multivariate Dengan Program SPSS. Semarang: BP Universitas
Diponegoro. .2009. Aplikasi Analisis Multivarian Dengan Program SPSS. Semarang : Badan Penerbit
Universitas Diponegoro. Gujarati, Dan Damodar. 2003. Ekonometri Dasar, Terjemahan: Sumamo Zain, Jakarta: Erlangga Grundey, Dan Daniora. 2008. Experiential Marketing vs Traditional Marketing. Dalam Romanian
Economic Journal. Vol.11 No.3. Hal 133-151. Handal, Nehemia S. 2010. Analisis Pengaruh Experiential Marketing Terhadap Loyalitas. Jurnal
Manajemen Universitas Diponegoro. Hasan, A. 2008. Marketing. Yogyakarta: Media Utama. Indriantoro, Nur dan Supomo. 2014. Metodologi Penelitian Bisnis untuk Akuntasi dan Manajemen. Yogyakarta: BPFE Jannah, Dan Miftahul. 2014. Pengaruh Experiential Marketing Terhadap Kepuasan Pengunjung Museum
sepuluh Nopember Surabaya. Fakultas Ekonomi. Universitas Trunojoyo Madura. J.Setiadi 2010. Perilaku Konsumen, KENCANA prenada media group : Jakarta Jatmiko, Dwi dan Andharini. 2012. Analisi Experiential Marketing dan Loyalitas Pelanggan Jasa Wisata
(Studi pada Taman Rekreasi Sengkaling Malang). (Jurnal) Fakultas Ekonomidan Bisnis. Universitas Muhammadiyah Malang. 6
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise Kartajaya, Hermawan. 2004. Hermawan Kartajaya on brand Seri 9 Elemen Marketing. Bandung: P
Mizan Pustaka. Kartajaya, Hermawan. 2004. Hermawan Kartajaya on brand Seri 9 Elemen Marketing. Bandung: PT
Mizan Pustaka. . 2006. Hermawan Kartajaya On Marketing. Jakarta: PT Gramedia. Kotler, Philip. 2000. Manajemen Pemasaran DiIndonesia. Jakarta : Salemba Empat. Kotler. P. 2009. Manajemen Pemasaran. : Analisa, Perencanaan, Implikasi dan Kontrol, Jilid I. Jakarta
:PT Prenhallindo. Kotler, Phillip. 2002. Manajemen Pemasaran 1. Milenium ed. Jakarta: PT Mowen Kotler, Philip. 2005. Marketing management: Analysis, Planing, Implementation, Control. Ed. 8, New
jersey: Prentice Hall, Inc. Kotler, Philip and Keller. 2006. Manajemen Pemasaran. Jakarta: PT. Indeks. dan Armstrong, Gary. 2008. Prinsip-prinsip Pemasaran, Edisi 12. Jakarta: Erlangga. Kustini. 2007, Penerapan Experiential Marketing. Jurnal Riset Ekonomi dan Bisnis Vol. 7, No. 2. UPN
“Veteran”Jawa Timur. Lulluangi, Irene Rosa. 2014. DAFTAR PUSTAKA Analisis Pengaruh Experiential Marketing Terhadap Kepuasan Konsumen
(Skripsi). Semarang: Universitas Diponegoro. Lupiyoadi, Rambat. 2001. Manajemen Pemasaran Jasa Teori dan Praktik. Jakarta: Salemba Empat. . 2013. Manajemen Pemasaran Jasa. Jakarta : Salemba Empat. Priansa. 2017. Komunikasi Peamasaran Terpadu. Bandung: Pustaka Setia Payne, Andrian. 2001. Pemasaran Jasa. Cetak Kedua. Yogyakarta. Andi And Pearson Education. Priyatno, Dan Duwi. 2010. Tehnik Mudah Dan Cepat Melakukan Analisis Data Penelitian Dengan Sp
Dan
T
J
b Uji
P
d d
Yogyakarta: Gaya Media Priyatno, Dan Duwi. 2010. Tehnik Mudah Dan Cepat Melakukan Analisis Data Penelitian Dengan Spss
Dan
Tanya Jawab Ujian Pendadaran. Yogyakarta: Gaya Media. y
,
p
g
p
Dan
Tanya Jawab Ujian Pendadaran. Yogyakarta: Gaya Media. Tanya Jawab Ujian Pendadaran. Yogyakarta: Gaya Media. . 2012. Cara Kilat Belajar Analisis Data Dengan Spss 2.0. Yogyakarta: Andi. Priyono, Agus. 2015. Analisis Data dengan SPSS. BPFE UNISMA Priyono, Agus. 2015. Analisis Data dengan SPSS. BPFE UNISMA Raharso, Sri. 2005. Pengaruh Customer Delight terhadap Behavioral Intentions Battrey. Jurnal,
Usahawan No. 5, mei 2005 Rini, Endang Sulistya. 2009. Menciptakan Pengalaman Konsumen Dengan Experienxial Marketing. Jurnal
Manajemen Bisnis. Vol II, No 1, h. 15-20. Ruslan, dan Rosady. 2007. Manajemen Public Relations & Media Komunikasi: Presepsi dan Aplikasi. Jakarta:
PT Raja Grafindo Persada. a roni 2017. Pengaruh Dimensi Experiential Marketing Terhadap Kepuasan
Pengunjung (Studi Kasus Pada Taman Rekreasi Tlogomas Malang. Jurnal Ilmiah Riset
Manajemen e-Jrm Vol. 6 No. 1 557
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Night Paradise Schmitt, B. 1999. Experiential marketing: How to get customers to sense, feel, think, act and relate to
your company and brands. The Free Press, New York, USA. Singarimbun, Masri dan Sofian Effendi. 2008. Metode Penelitian Survei. Jakrta: LP3ES Indonesia. Singgih, Dan Susanto. 2002. SPSS Versi 11.5 . Cetakan Kedua. Jakarta: Gramedia. Soemantri, Ating dan Ali M, Sambas. 2006. Aplikasi Statistika dalam Penelitian. Bandung: CV Pustaka
Setia. Sugiyono. 2004. Metode Penelitian Binis. Bandung. Alfabeta. Sugiyono. 2009. Metode Penelitian Bisnis , Edisi ke-14. Bandung: Alfabeta. Tjiptono, Fandi. 2002. Manajemen Jasa. Yogyakarta : Andy. . 2005. Pemasaran Jasa. Edisi 1. Malang. Bayu Media Publissing . 2006. Pemasaran Jasa. Malang : Bayumedia Publishing. . 2008. Strategi Pemasaran. Edisi Ketiga. Yogyakarta. Andi Offset . 2014. Pemasaran Jasa: Prinsip Penerapan Dan Penelitian. Yoggyakarta. Andi Offset. Umar, Dan Husen. 2012. Riset Sdm Dalam Organisasi. Jakarta: Gramedia Pustaka Utama. Utami, Chistina Widya. 2006. Manajemen Ritel. Jakarta: Salemba Empat. Wicaksono, Arry. 2005. 558
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise DAFTAR PUSTAKA Pengaruh Persepsi Kualitas Layanan Terhadap Kepuasan Klien dan
Dampaknya Pada Preferensi Rekomendasi Klien. Jurnal Ekonomi Perusahaan, IBII Vol.12-
No.3. Wood, Ivonne. 2009. Layanan Pelanggan: Cara Praktis, Murah dan Inspiratif Memuaskan Pelanggan
Anda. Yogyakarta: Graha Ilmu. Yazid. 1999. Pemasaran Jasa. Fakultas Ekonomi. UII 58
Dimensi Experiential Marketing Terhadap Visitor Satisfaction Pada Wisata Malang
Night Paradise
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https://www.frontiersin.org/articles/10.3389/fimmu.2020.01124/pdf
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Interleukins in Thyroid Cancer: From Basic Researches to Applications in Clinical Practice
|
Frontiers in immunology
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REVIEW
published: 12 June 2020
doi: 10.3389/fimmu.2020.01124 REVIEW published: 12 June 2020
doi: 10.3389/fimmu.2020.01124 Edited by: Edited by:
Avery Dexter Posey Jr.,
University of Pennsylvania,
United States Avery Dexter Posey Jr.,
University of Pennsylvania,
United States
Reviewed by:
Evelien Smits,
University of Antwerp, Belgium
Connie Jackaman,
Curtin University, Australia
*Correspondence:
Zhong-Ling Qiu
qiuzhongling123@163.com
Quan-Yong Luo
lqyn@sh163.net Reviewed by:
Evelien Smits,
University of Antwerp, Belgium
Connie Jackaman,
Curtin University, Australia Keywords: interleukins, thyroid cancer, inflammation, tumor microenvironment, immunotherapy *Correspondence:
Zhong-Ling Qiu
qiuzhongling123@163.com
Quan-Yong Luo
lqyn@sh163.net Interleukins in Thyroid Cancer: From
Basic Researches to Applications in
Clinical Practice
Chuang Xi †, Guo-Qiang Zhang †, Zhen-Kui Sun, Hong-Jun Song, Chen-Tian Shen,
Xiao-Yue Chen, Jian-Wen Sun, Zhong-Ling Qiu* and Quan-Yong Luo*
Department of Nuclear Medicine, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China Inflammation is crucial to tumorigenesis and progression of many cancers. Inflammatory
molecules in tumor microenvironment exert pro- or anti-tumor effects. Among them,
interleukin, mainly produced by CD3+ and CD4+ T lymphocytes, is a class of
small molecule proteins which play an important role in intercellular communication. Numerous studies have confirmed that interleukins are closely related to thyroid cancer. Interleukins regulate the proliferation and migration of thyroid cancer cells and they have
prospects in discriminating benign and malignant thyroid diseases, predicting the risk of
tumorigenesis, evaluating the prognosis and monitoring the recurrence of thyroid cancer. Besides, the effective application of interleukins in treatment of thyroid cancer has been
confirmed by some cell and animal researches. The present review will introduce the
potential mechanisms of interleukins in thyroid cancer and focus on the applications of
interleukins in clinical practice of thyroid cancer, which will help update understanding of
the progress of interleukins researches in thyroid cancer. Inflammation is crucial to tumorigenesis and progression of many cancers. Inflammatory
molecules in tumor microenvironment exert pro- or anti-tumor effects. Among them,
interleukin, mainly produced by CD3+ and CD4+ T lymphocytes, is a class of
small molecule proteins which play an important role in intercellular communication. Numerous studies have confirmed that interleukins are closely related to thyroid cancer. Interleukins regulate the proliferation and migration of thyroid cancer cells and they have
prospects in discriminating benign and malignant thyroid diseases, predicting the risk of
tumorigenesis, evaluating the prognosis and monitoring the recurrence of thyroid cancer. Besides, the effective application of interleukins in treatment of thyroid cancer has been
confirmed by some cell and animal researches. The present review will introduce the
potential mechanisms of interleukins in thyroid cancer and focus on the applications of
interleukins in clinical practice of thyroid cancer, which will help update understanding of
the progress of interleukins researches in thyroid cancer. INTRODUCTION Thyroid cancer is the most common endocrine malignancy with increasing incidence rate over the
past decades (1). It happens as a result of hereditary susceptibility and environment factors such
as iodine excess, radiation exposure, obesity (2). According to pathology types, thyroid cancer is
divided into differentiated thyroid carcinoma (DTC), anaplastic thyroid carcinoma (ATC), and
medullary thyroid carcinoma (MTC). DTC, including papillary thyroid carcinoma (PTC) and
follicular thyroid carcinoma (FTC), accounts for 90% of all thyroid cancers and has a relatively
good prognosis. More than 80% of patients with DTC can achieve excellent response to current
treatment model, such as surgery, radioiodine (RAI) therapy, and TSH suppressive therapy (3). Although ATC only accounts for 1–2% of thyroid cancer, it is responsible for 14–50% of all thyroid
cancer-related deaths due to the lack of effective treatment (4). Molecular targeted therapy is the
most promising emerging treatment for ATC and the involved drugs are multiple receptor tyrosine
kinase inhibitors (5). MTC, derived from thyroid C cells, accounts for about 5–10% of thyroid
cancer and the current treatment of MTC is limited to surgery (6). †These authors have contributed
equally to this work †These authors have contributed
equally to this work Specialty section:
This article was submitted to
Cancer Immunity and Immunotherapy,
a section of the journal
Frontiers in Immunology Specialty section:
This article was submitted to
Cancer Immunity and Immunotherapy,
a section of the journal
Frontiers in Immunology Received: 08 February 2020
Accepted: 07 May 2020
Published: 12 June 2020 REGULATING TUMOR CELL
PROLIFERATION the immune system, regulation of transcription factors, and
control of inflammation. The role of interleukins in cancer was
first described by Vose (7), and in the following decades many
studies have confirmed that interleukins, from IL-1 to IL-38,
play significant roles in many cancers, such as breast cancer,
hepatoma, thyroid cancer etc. (8, 9). Tumor cell proliferation is an important step in tumor
development. Several
studies
have
demonstrated
that
interleukins
could
regulate
the
proliferation
of
thyroid
cancer cells. To date, numerous studies have confirmed that interleukins
play significant roles in the diagnosis and treatment of thyroid
cancer. This review will present the effects of interleukins in
thyroid cancer and the clinical applications in the diagnosis
and treatment of thyroid cancer in order to help update
understanding of the progress of interleukins researches in
thyroid cancer. IL-1 includes two activator cytokines IL-1α and IL-1β, as
well as an inhibitory cytokine, the IL-1 receptor antagonist (IL-
1ra). IL-1α and IL-1β bind to the same receptor, the type 1
IL-1 receptor (IL-1R), and activate the downstream signaling
cascades, ultimately promoting the immune and inflammatory
responses (12). The role of IL-1 in cancer has been well-
demonstrated (13) and it is well-demonstrated that IL-1 could
regulate the proliferation of thyroid cancer through different
mechanisms. Due to different thyroid cancer cell lines used
in different studies, the results are contradictory. IL-1α could
promote the proliferation of PTC cell line NIM1 via stimulation
of Ca2+ channels (14). IL-1 could also suppress the proliferation
of thyroid cancer cells. IL-1 inhibits the growth of the thyroid
cancer cell line NPA, which was in part associated with
the suppression of c-myc (15). IL-1β exerts strong antitumor
effects on PTC (16, 17) and FTC cell lines (18) through
suppressing proliferation and invasiveness. Furthermore, IL-
1β did not have an anti-proliferative effect on ATC cell lines,
which indicates that PTC cancer cells escaping from antitumor
effect of IL-1β may be a step toward anaplasia change, resulting
in more aggressiveness of thyroid cancer (17). However, the
mechanisms of this process are not clear and further studies
are needed. Citation: Xi C, Zhang G-Q, Sun Z-K, Song H-J,
Shen C-T, Chen X-Y, Sun J-W, Qiu Z-L
and Luo Q-Y (2020) Interleukins in
Thyroid Cancer: From Basic
Researches to Applications in Clinical
Practice. Front. Immunol. 11:1124. doi: 10.3389/fimmu.2020.01124 Tumor microenvironment is closely related to the occurrence and development of cancer. It consists of immune cells, stroma cells, cytokines, and chemokines, which exert pro- or anti-
tumor effects. Interleukins are small protein signaling molecules that belong to the superfamily of
cytokines and are mainly produced by T lymphocytes, monocytes, macrophages, and endothelial
cells. The main functions of interleukins include the facilitation of communication between cells of June 2020 | Volume 11 | Article 1124 Frontiers in Immunology | www.frontiersin.org Xi et al. Xi et al. Interleukins and Thyroid Cancer THE EFFECTS OF INTERLEUKINS IN
THYROID CANCER Growing evidence suggests that imbalance of pro-inflammatory
and
anti-inflammatory
cytokines
is
correlated
to
the
pathogenesis of thyroid cancer. Inflammatory molecules in
tumor microenvironment exert two main effects. One hand,
they sustain features of the malignant phenotype of tumors,
such as proliferation and invasiveness (10). Moreover, they
recruit inflammatory and immune cells, and induce the
remodeling of the tumor stroma and stimulate angiogenesis. Thus, inflammatory molecules could further promote tumor
progression. In addition, the recruitment of immune cells into
tumor sites could result in the immune escape of cancer cells,
because cancer cells could induce the secretion of molecules
that suppress immune responses and the recruitment of
regulatory T cells (11). Interleukins are also crucial components
of microenvironment of thyroid cancer and some studies
confirmed that interleukins play significant roles in thyroid
cancer through some potential mechanisms (Figure 1, Table 1). IL-22, produced by Th17 and Th22 cells, exerts its biological
effects through binding to IL-22 receptor and IL-10 receptor. IL-
22 triggers a variety of downstream signaling pathways including
JAK/STAT3 and MAPK, resulting in cancer progression (19). In thyroid cancer, IL-22 induces miR-595 expression, which in FIGURE 1 | The mechanism of interleukins in thyroid cancer. Interleukins (A) regulate the proliferation of thyroid cancer cells and promote the process of (B)
Epithelial-to-Mesenchymal Transition (EMT) and (C) angiogenesis. Besides, they also regulate the abilities of thyroid cancer cells to (D) resist to cell apoptosis and (E)
escape the immune system. Through these mechanisms, interleukins cloud play important roles in the tumorigenesis and development of thyroid cancer. FIGURE 1 | The mechanism of interleukins in thyroid cancer. Interleukins (A) regulate the proliferation of thyroid cancer cells and promote the process of (B)
Epithelial-to-Mesenchymal Transition (EMT) and (C) angiogenesis. Besides, they also regulate the abilities of thyroid cancer cells to (D) resist to cell apoptosis and (E)
escape the immune system. Through these mechanisms, interleukins cloud play important roles in the tumorigenesis and development of thyroid cancer. June 2020 | Volume 11 | Article 1124 Frontiers in Immunology | www.frontiersin.org 2 Ca2+
e
PA. e
d
–Slug
C cell Sample size
Method
ILs
Findings
—
—
IL-1α
IL-1α promotes the proliferation of NIM1 cells by stimulating Ca2
influx voltage-dependent Ca2+ channels. —
—
IL-1α IL-1β
IL-1α and IL-1β inhibited NPA cells growth associated with the
suppression of c-myc. ll lines
nd NP
O
lines
lines
lines
ines
lines
mples
lines
C cell
cancer; P
chemistry THE EFFECTS OF INTERLEUKINS IN
THYROID CANCER —
—
IL-1β
IL-1β inhibit the proliferation and invasiveness of TPC-1 and NPA
—
—
IL-1β
IL-1β inhibit growth of BHP and NP cells but not ARO cells. —
—
IL-1β
IL-1β inhibit the proliferation of follicular cell line. —
—
IL-22
IL-22 induces miR-595 expression which in turn downregulate
Sox17 expression and then results in increasing migration and
invasion of PTC cells. PTC: 30
Cell culture, western blotting IHC
IL-8
1. IL-8 is required for EMT in thyroid cancer through IL-8–Akt–Sl
pathway. 2. IL-8 increases the stem features of thyroid cancer cells. ATC: 76 PTC: 100
IHCELISAPCR
IL-11
Hypoxia-induced stimulation of IL-11 production results in ATC c
invasion, migration, and EMT via the PI3K/Akt/GSK3β pathway. TC: 65 FTC: 50 ATC: 22
IHC PCR Western blot
IL13Rα2
IL13RA2 is differentially regulated in PTC and is involved in cell
migration via enhancing EMT. PTC: 40
IHCCell culture
IL13Rα2
Knockdown of IL13Rα2 could decline the number of invading ce
in PTC. PTC: 18
PCR
IL-8
IL-8 is an important downstream mediator of NF-kB signaling in
advanced thyroid cancer growth and progression. TC: 61, FTC:19, MTC:8
IHC
IL-17
1. Expression of IL-17 proteins in DTC and MTC tissues is highe
2. High IL-17 expression was associated with recurrence and
mortality in thyroid neoplasm. PTC: 89 PTC+HT: 49
PCR IHC
IL-17A
1. IL-17A induced MHC class I expression and promotes inhibiti
of tumor immune escape in PTC with HT. 2. The immune escape suppressed by IL-17A may be linked to
PD-1/PD-L1 pathway. —
—
IL-4 IL-10
IL4 and IL-10 plays significantly role in protecting thyroid cancer
cells from apoptosis when complicated with Graves’ disease. PTC: 8 FTC: 8 UTC: 5
Immunostaining Western Blotting
IL-4 IL-10
IL-4 and IL-10 protect thyroid cancer cells from cytotoxic effect
antineoplastic drugs by induce the expression of Bcl-xL and Bcl
PTC: 8 FTC: 8 UTC: 4
Immunostaining Western Blotting
IL-4 IL-10
Autocrine of IL-4 and IL-10 in thyroid cancer results in resistance
to CD95-mediated apoptosis. PTC: 45
PCR Flow cytometry
IL13Rα2
1. IL13Rα2 is contributed to the tumorigenesis, cell progression a
invasion of thyroid cancer. 2. IL13Rα2 may function as an oncogene during PTC
carcinogenesis. , papillary thyroid cancer; FTC, follicular thyroid cancer; ATC, anaplastic thyroid cancer; MTC, Medullary thyroid cancer; PCR, Polymerase Chain Reaction;
T, Hashimoto’s thyroiditis; EMT, epithelial-to-Mesenchymal Transition. er. REGULATING TUMOR IMMUNE ESCAPE It is an essential step in successful migration and metastasis
of tumor cells. Some interleukins promote the EMT process
of thyroid cancer and then enhance the aggressiveness of
thyroid cancer. Human immune system is capable of recognizing and resisting
cancer cells, however, by altering the host immune system,
tumors can escape immune control and continue to progress
(37). The tumor microenvironment provides conditions for
tumors to escape the immune surveillance, and some interleukins
play an important role in this process. IL-8, a pro-inflammatory chemokine, functions through
binding to CXCR1 and CXCR2. Considering the characteristic
expression of CXCR1 and CXCR2 on cancer cells, endothelial
cells, and tumor-associated macrophages, the increased secretion
of IL-8 from tumor cells has significance to the tumor
microenvironment (22). IL-8 has been repeatedly reported to be a
tumor-promoting cytokine in several cancers, but rarely reported
in thyroid cancer. Mast cells, which correlate to malignant
features and invasiveness of thyroid cancer, are the main source
of IL-8 in thyroid cancer. IL-8 is required for mast cells mediated
EMT in thyroid cancer through the IL-8-Akt-Slug pathway (23). IL-10 is an anti-inflammatory and immunosuppressive
cytokine that influence the course of cancer by promoting
immune escape through inhibition of the antitumor activity of
immune cells (38). IL-10 is expressed in thyroid cancer and
influence the aggressiveness of it (39). The immunosuppressive
effect of IL-10 may be involved in the immune escape of thyroid
cancer cells and promote the aggressiveness of thyroid cancer. However, studies are needed to explain the mechanisms of
this process. IL-11 interactives with its receptor IL-11Rα and activates
signaling pathways of targeted cells such as JAK/STAT, MAPK,
Src-family kinases, and PI3K pathway (24). The IL-11 gene is a
hypoxia-inducible gene whose expression is induced by hypoxia
via HIF-1α (25). IL-11 promotes the invasion, migration and
EMT of ATC cell via the PI3K/Akt/GSK3β pathway (26). Higher
expression of IL-11 in ATC tissues than in PTC could explain
the higher metastasis rates of ATC (26). The promotion of EMT
induced by IL-11 could take part in this process. Tumor cells achieve immune escape by downregulating the
expression of major histocompatibility complex (MHC) class I
and loss of MHC class I expression is a frequent mechanism
of tumor immune escape in PTC (40). However, after IL-17
treatment, the membrane expression of MHC class I in K1 and
PTC-1 increased significantly (41). THE EFFECTS OF INTERLEUKINS IN
THYROID CANCER ell lines
nd NP
O
lines
lines
lines
lines
lines
mples
s
lines
s
s
C cell
cancer; P
chemistry ll lines
nd NP
O
lines
lines
lines
ines
lines
mples
lines Interleukins and Thyroid Cancer Xi et al. Xi et al. of IL-1β and TNF-α in the tumor microenvironment (34). The
expression of IL-17 is observed in various tumor tissues and
considered as the most important pro-angiogenic mediator (35). The expression level of IL-17 is higher in DTC and MTC than that
in benign thyroid neoplasms (36), which suggests that IL-17 is
closely correlated to the aggressiveness of thyroid cancer, and the
tumor pro-angiogenesis of IL-17 could have roles in this process. However, no study has ever reported the pro-angiogenesis of
IL-17 in thyroid cancer. turn downregulates Sox17 expression, thereby enhancing the
migration and invasion of thyroid cancer (20). turn downregulates Sox17 expression, thereby enhancing the
migration and invasion of thyroid cancer (20). REGULATING TUMOR IMMUNE ESCAPE Programmed cell death ligand
1 (PD-L1), expressed on the surface of tumor cells, binds to its
receptor PD-1 on T cells membrane, inducing T cells anergy. The PD-1 expression of T cells reduced in the presence of IL-
17 (41). It is suggested that IL-17 inhibit tumor immune escape
by upregulating MHC class I expression on tumor cells and
suppressing PD-L1/PD-1 pathway. IL13Rα2 is a type II cytokine receptor with high binding
affinity to IL-13 (27) and it has an oncogenic role in many cancers
(28, 29). In PTC, IL13Rα2-induced cell migration is associated
with the upregulation of EMT markers such as N-cadherin,
Vimentin and Snail, indicating that IL13Rα2 enhances thyroid
cancer aggressiveness through promoting EMT process (30). A
recent study found that the number of invading cells in PTC
declined significantly after IL13Rα2 knockdown, indicating that
IL13Rα2 is involved in the invasion of PTC cells (31). However,
the potential mechanism of how IL13Rα2 influence the EMT
process of thyroid cancer is not clear. Some interleukins can inhibit the anti-tumor immune
response, allowing tumor cells to escape recognition and attack
by the immune system. Therefore, tumor cells can proliferate
and metastasize to distant organs. Better understanding of the
mechanisms of interleukins in immune escape will provide new
targets for immunotherapy of thyroid cancer. PROMOTING
EPITHELIAL-TO-MESENCHYMAL
TRANSITION (EMT) EMT is a process in which epithelial cells lose adhesion properties
and turn into a mesenchymal phenotype, allowing non-invasive
tumor cells to attain the ability of invasion and metastasis (21). It is an essential step in successful migration and metastasis
of tumor cells. Some interleukins promote the EMT process
of thyroid cancer and then enhance the aggressiveness of
thyroid cancer. EMT is a process in which epithelial cells lose adhesion properties
and turn into a mesenchymal phenotype, allowing non-invasive
tumor cells to attain the ability of invasion and metastasis (21). Frontiers in Immunology | www.frontiersin.org INHIBITING CANCER CELL APOPTOSIS Besides, in PTC cell lines, transfection with siRNA targeting
IL13Rα2 induces cell apoptosis by upregulation of caspase 3 and
then results in inhibition of cell proliferation, which indicates
that IL13Rα2 promotes the invasion and metastasis of tumors
through inhibiting apoptosis (31). It can induce Th2 cell proliferation and differentiation, and
inhibit apoptosis of B and T cells. A variety of malignancies,
such as melanoma and breast cancer, express IL-4 receptor
(IL-4Rα), and IL-4 has antiproliferative and/or proapoptotic
effects in these cancer cells. On the contrary, IL-4 weakly
stimulates the proliferation of thyroid cancer and protects it
from apoptosis. The pro-tumor effect of IL-4 is associated
with the up-regulation of anti-apoptotic molecule Bcl-2 and
the weak down-regulation of the pro-apoptotic molecule Bax
(43). Besides, autocrine production of IL-4 and IL-10 induces
the over-expression of Bcl-xL and Bcl-2, two anti-apoptotic
proteins, which subsequently protect thyroid cancer cells from
the cytotoxic effects of antineoplastic drugs (44). Both PTC and
FTC cells express CD95 and its ligand CD95L, which mediate
cell apoptosis, however, expression of CD95 and CD95L does
not affect tumorigenesis and progression in thyroid cancer (45). Therefore, there is a molecular mechanism that restrains the
CD95-mediated apoptosis signaling pathway in thyroid cancer
and autocrine production of IL-4 and IL-10 may have significant
roles in this mechanism, because IL-4 and IL-10 promote
resistance to CD95-mediated apoptosis via the activating the
Jak/Stat pathway and up-regulating cFLIPL and PED (46). Besides, in PTC cell lines, transfection with siRNA targeting
IL13Rα2 induces cell apoptosis by upregulation of caspase 3 and
then results in inhibition of cell proliferation, which indicates
that IL13Rα2 promotes the invasion and metastasis of tumors
through inhibiting apoptosis (31). treatment of thyroid cancer, further studies focused on potential
mechanisms in are still needed. treatment of thyroid cancer, further studies focused on potential
mechanisms in are still needed. INHIBITING CANCER CELL APOPTOSIS To support the high proliferation of cancer cells, tumors need
to rapidly develop a new vascular network. Angiogenesis, the
formation of new blood vessels, is one of crucial steps in tumor
progression. NF-κB is a key regulator of angiogenesis in thyroid
cancer (32), and IL-8 may be a significant downstream effector
of NF-κB signaling pathway in the progression of advanced
thyroid cancer (33). IL-17 is involved in the pathogenesis of
inflammatory responses and is known to induce the production Apoptosis, also called programmed cell death, is finely regulated
at the gene level to orderly remove damaged cells (42). Its
alteration is not only responsible for tumor progression but also
for tumor resistance to therapies. Autocrine production of interleukins in thyroid cancer results
in upregulation of anti-apoptotic proteins, which contributes to
tumor progression. IL-4 is a pleiotropic cytokine produced by
Th2 cells and exerts regulatory effect on the immune response. June 2020 | Volume 11 | Article 1124 Frontiers in Immunology | www.frontiersin.org 4 Xi et al. Interleukins and Thyroid Cancer It can induce Th2 cell proliferation and differentiation, and
inhibit apoptosis of B and T cells. A variety of malignancies,
such as melanoma and breast cancer, express IL-4 receptor
(IL-4Rα), and IL-4 has antiproliferative and/or proapoptotic
effects in these cancer cells. On the contrary, IL-4 weakly
stimulates the proliferation of thyroid cancer and protects it
from apoptosis. The pro-tumor effect of IL-4 is associated
with the up-regulation of anti-apoptotic molecule Bcl-2 and
the weak down-regulation of the pro-apoptotic molecule Bax
(43). Besides, autocrine production of IL-4 and IL-10 induces
the over-expression of Bcl-xL and Bcl-2, two anti-apoptotic
proteins, which subsequently protect thyroid cancer cells from
the cytotoxic effects of antineoplastic drugs (44). Both PTC and
FTC cells express CD95 and its ligand CD95L, which mediate
cell apoptosis, however, expression of CD95 and CD95L does
not affect tumorigenesis and progression in thyroid cancer (45). Therefore, there is a molecular mechanism that restrains the
CD95-mediated apoptosis signaling pathway in thyroid cancer
and autocrine production of IL-4 and IL-10 may have significant
roles in this mechanism, because IL-4 and IL-10 promote
resistance to CD95-mediated apoptosis via the activating the
Jak/Stat pathway and up-regulating cFLIPL and PED (46). Serum Interleukin Level Serum level of other interleukins could also be used in
discriminating benign and malignant thyroid diseases. Serum
levels of IL-7, IL-10, and IL-13 are higher in thyroid diseases
than healthy controls (49). However, a recent study (51) reported
that serum concentrations of IL-10 could not discriminate benign
and malignant groups from healthy controls. Besides, Serum
concentration of IL-35 in thyroid cancer is lower than that
in thyroid adenoma, which indicates IL-35 could be used in
discriminating thyroid cancer and adenoma (54). Serum biomarkers are generally used for tumor screening
due to their effectiveness and convenience, and specific serum
tumor biomarkers are important for tumor diagnosis. With
the development of tumor immunity, some studies confirm
the possibility of serum cytokine level for tumor diagnosis. It
has been reported that the serum level of some interleukins
could serve as potential biomarkers in the diagnosis of thyroid
cancer, especially in discriminating benign and malignant thyroid
diseases (Table 2). However, the results of different studies
are contradictory. Interleukins are potential biomarkers in discriminating
benign and malignant thyroid diseases, however, the clinical
application value of single type of interleukin still have some
limitations. In order to solve this problem, some researchers have
begun to focus on the combined detection of different types of
interleukins or the combined detection of interleukins and other
biochemical indicators. It is reported that the combination of
IL-13 and IL-8 is highly efficient in identify thyroid diseases
(AUC 0.90) (49). Another study evidenced that a panel of four
serum biomarkers (IL-8, HGF, MIG, and IL-12) might assist in
discriminating thyroid cancer and benign thyroid diseases (AUC
0.81) (55). IL-1 consists of IL-1α, IL-1β, and IL1 receptor antagonist
(IL1ra). Compared with healthy controls, IL-1β was found to
be underexpressed in the serum of patients with PTC, and it
was considered to be a valuable factor in discriminating atrophic
thyroiditis and thyroid cancer (47). IL1ra inhibits the pro-
inflammatory effects of IL-1 through competitively binding to the
IL-1 receptor (61). Compared with the control group, the serum
level of IL1ra is higher in patients with FTC or ATC, but not in
patients with PTC or MTC (48), which indicates that serum IL-
1ra level could be used as a biomarker for FTC or ATC. However,
this effect reaches significance only in women. It could due to the
fact that production of IL-1ra in monocytes from female patients
is increased (62). CLINICAL UTILITIES OF INTERLEUKINS IN
THYROID CANCER Thyroid cancer is the most common malignant tumor of
endocrine system with increasing incidence over recent decades
(1). How to improve the diagnosis and treatment quality of
thyroid cancer has been paid more attention by clinicians. In
clinical
practice,
the
diagnosis,
treatment,
prognosis
evaluation, and disease recurrence monitoring of thyroid
cancer are challenging. Either in process of initial diagnosis
or
postoperative
pathological
classification,
discriminating
benign and malignant thyroid nodules is not easy. In order
to achieve the purpose of early detection, early diagnosis and
early treatment, determination of the high-risk population is
significant in clinical practice. Evaluation of aggressiveness
of thyroid cancer can provide more information for accurate
risk stratification of patients. In addition, most thyroid cancer
progress slowly and patients has long survival time after
treatments,
thus
the
prognosis
evaluation
and
follow-up
after treatment are particularly important. These problems in
clinical practice suggest more effective biochemical indicators
are needed to make up for the imperfections of current
clinical diagnosis and treatment of thyroid cancer in order to
improve the level of clinical diagnosis and treatment and make
patients attain more benefits. This section will concentrate
on the possible applications of interleukins in the clinical
practice of thyroid cancer in order to provide more help for
clinicians (Figure 2). Although the mechanisms of some interleukins in thyroid
cancer have been described by some studies, how other
interleukins confirmed to be correlated to thyroid cancer in
clinical researches affect the progression of thyroid cancer is still
not clear so far. Therefore, in order to provide more help for FIGURE 2 | Clinical applications of interleukins in thyroid cancer. IGURE 2 | Clinical applications of interleukins in thyroid cancer. IGURE 2 | Clinical applications of interleukins in thyroid cancer. June 2020 | Volume 11 | Article 1124 Frontiers in Immunology | www.frontiersin.org Frontiers in Immunology | www.frontiersin.org 5 Interleukins and Thyroid Cancer Xi et al. Xi et al. DISCRIMINATING BENIGN AND
MALIGNANT THYROID DISEASES serum expression level of thyroid cancer is higher than that of
thyroid adenoma, suggesting that it could be used as a potential
biomarker to distinguish thyroid cancer from adenoma (54). Serum Interleukin Level Serum interleukin level is correlated to thyroid cancer and
could be used to discriminate benign and malignant thyroid
diseases. However, due to the different measurement methods
and sample size, the results of different studies are not similar
and even opposite. Besides, there are still some limitations in the
effect of single type of interleukin. At present, few studies focused
on the combined detection of different types of interleukins or
the combined detection of interleukins and other biochemical
indicators, which also limits the application of serum interleukins
in clinical practice (49, 55). Therefore, in order to improve the
clinical application value of interleukins, it is necessary to use
the same detection methods for multi-center, large sample size
research. In addition, studies on the combined detection are
also needed. IL-6 is a pleiotropic cytokine which could induce pro- and
anti-inflammatory effects under specific conditions. In tumor
microenvironment, IL-6 interacts with its receptor and associates
with the target cell membrane glycoprotein 130, inducing pro-
inflammation cytokines production to support the chronic
inflammation. In addition, the IL-6 pathway could transmit
positive signals to tumor cells, promoting the proliferation,
invasion and anti-apoptosis of cancer. The published researches
reported that IL-6 expression is higher in patients with benign
and malignant thyroid neoplasms than healthy controls, and
it is associated with tumor aggressiveness and poor survival
(49). Besides, serum level of IL-6 is high in presurgical serum
samples of PTC patients and returns to normal level following
surgery (50). However, a recent study reported that IL-6 could
not discriminate benign and malignant groups from healthy
controls (51). This difference may due to different interleukins
measurement methods and sample size. Frontiers in Immunology | www.frontiersin.org Expression of Interleukins in Thyroid
Tissues Effective biomarkers are needed to improve the accuracy of
pathological diagnosis of thyroid cancer. Even though serum
interleukins could be used to discriminate benign and malignant
thyroid diseases, they might not accurately reflect their actual
expression level in thyroid tissues. Thus, studies on expression
level of interleukins in thyroid tissues are still needed. Previous
studies showed that IL-6 expression was significantly down-
regulated in undifferentiated thyroid cancer tissues (56). Besides,
PTC tissues had the highest level of IL-6 expression while FTC
and ATC issues were consistently negative for IL-6 expression
(57). Compared with benign or normal thyroid tissues, higher
expressions of IL-13 (58) in PTC tissues, higher expressions of IL-
17 (59) and IL-23 (36) in DTC and MTC tissues were observed. Besides, the expression of IL-32 (60) in thyroid cancer issues is
also higher in benign thyroid tissues. The findings of serum IL-8 level in thyroid cancer are
contradictory in different studies. Some studies found that the
serum level of IL-8 is lower in thyroid disease than healthy
controls (49), while others found that the level of IL-8 expression
in serum samples of PTC patients is higher than healthy controls
(50). Besides, a recent study (51) reported that compared with
the benign thyroid disease groups, higher concentration of IL-8
in thyroid cancer was observed. The measurement methods and
sample size in these studies are different, which indicates that a
multicenter large sample study is needed to determine the serum
expression level of IL-8 in thyroid cancer. Serum level of IL-17 increases significantly in patients with
thyroid tumors compared with healthy controls (52, 53). And its June 2020 | Volume 11 | Article 1124 6 ases. amples
Sample size
Method
ILs
Findings
m samples
PTC: 15
Multiplex
technology
IL-1β
Serum IL-1β levels was under expressed in PTC group
compared to healthy control group and other thyroid
diseases. m samples
PTC:21
FTC:8 MTC:12
ATC: 11
ELISA
IL-1ra
Serum IL-1ra level is associated with the development of
ATC and FTC. m samples
TC: 20
Multiplex
technology
(IL)6, 7, 10, 13
Serum level of IL-6, IL-7, IL-10, and IL-13 was higher in
thyroid disease, while IL-8 was lower than healthy
controls. m samples
PTC: 31
ELISA
IL-6, IL-8
Serum IL-6 and IL-8 were higher in presurgical thyroid
samples and returned to normal following surgery. m samples
DTC: 200
ELISA
(IL)2, 6R, 8, 12
1. Expression of Interleukins in Thyroid
Tissues Serum concentration of IL-2, IL-6R, IL-8, and IL-12
might assist in the characterization of thyroid nodules’
malignancy and tumor aggressiveness. 2. Concentration of serum IL-8 was higher in the
malignant group compared with controls. 3. IL-6 and IL-10 were not able to discriminate the benign
and malignant groups from controls. 4. Serum concentrations of IL-2, 2R and 10 were
associated with thyroglobulin levels. m samples
PTC: 29
FTC: 11
ELISA
IL-17
Serum IL-17 level was significantly increased in patients
with DTC. m samples
TC: 11
ELISA
IL-17
Concentration of serum IL-17 was significantly higher in
patients with thyroid tumors. m samples
PTC: 42
ELISA
IL-17
Serum IL-17 level was higher in thyroid cancer than that
in thyroid adenoma. m samples
TC: 23
Multiplex
technology
IL-8 and IL-12
A panel of four serum biomarkers (IL-8, HGF, MIG, and
IL-12) might assist in the discriminating thyroid cancer
and benign thyroid diseases. oid samples
TC: 99
IHC
IL-6
Down-regulation of serum IL-6 may be a biomarker of
UTC. oid samples
TC: 130
IHC
IL-6
IL-6 is negatively correlated to aggressiveness of thyroid
cancer. oid samples
PTC: 13
IHC
IL-13
PTC expressed higher IL-13 protein and PTC had more
IL-13 genetic changes compared to benign nodules. oid samples
PTC: 60
PCR IHC
IL-17
IL-17 is correlated to tumor TNM stage, capsule
invasion, and lymph node metastasis of thyroid cancer. oid samples
PTC: 61
FTC: 19 MTC: 8
IHC
IL-17
1. Expression of IL-17 proteins in DTC and MTC tissues
are higher than healthy controls. 2. High IL-17
expression was associated with recurrence and mortality
in thyroid neoplasm. es Thyroid samples
TC: 139
HC: 138
IHC PCR
IL-32
IL-32 protein was expressed higher in thyroid cancer
tissues. cancer; PTC, papillary thyroid cancer; FTC, follicular thyroid cancer; UTC, undifferentiated thyroid cancer; ATC, anaplastic thyroid cancer; MTC, Medullary thyroid cancer;
nosorbent assay. Interleukins and Thyroid Cancer Xi et al. higher aggressiveness need more active surgical resection and
radioiodine treatment. However, it is not always easy to
distinguish these patients from others in initial diagnosis. At
present, some studies have explored the possibility of interleukins
in predicting the aggressiveness of thyroid cancer and have
obtained promising results. The expression of interleukins in thyroid cancer tissues is
significantly different compared with benign or normal thyroid
tissues. Evaluating the Risk of Tumorigenesis of
Thyroid Cancer Lymph node metastasis is the most common type of thyroid
cancer metastasis. Most patients are detected with multiple
lymph node metastases at the time of initial diagnosis. It is
reported that interleukins are significantly associated with lymph
node metastasis of thyroid cancer. The expression level of IL-8 is
higher in thyroid cancer tissues with lymph node metastases than
that without lymph node metastases (75). Gene polymorphism
evidenced that IL-8 may contribute to DTC lymph node
metastasis (76), and IL-1β may cause PTC lymph node metastasis
(71). However, gene polymorphism IL-18 (69) and IL-27 (73)
are negatively associated with lymph node metastasis in patients
with PTC. y
Heritable factors are crucial to the occurrence and development
of cancers. Several single nucleotide polymorphisms (SNPs)
found in cytokine genes affect the expression or function
of proteins which have been evaluated for their roles in
cancer
predisposition
(63). Considering
that
genetically
inherited predisposition is the initiating factor to thyroid
cancer
occurrence,
some
studies
have
focused
on
gene
polymorphisms of interleukins and found some favorable
results. The interleukins of whose SNPs are associated with the
increased risk of PTC include IL-1α (64), IL6 (65, 66), IL10
(67, 68), IL-18 (69), and IL-27 (70). IL-1β (64, 71) and IL-21
(72) gene polymorphisms were related to the decreased risk
of tumorigenesis in thyroid cancer. However, another study
found that IL-27 gene polymorphism was not a risk factor of
tumorigenesis but a risk factor lymph node metastasis in PTC
(73). Patient selection bias may account for this difference. Moreover, the study focused on the serum interleukins has
shown that high serum IL-10 level was positively associated with
an increased risk of thyroid cancer, but it was significant only in
women (74). The correlation between interleukins and aggressiveness of
thyroid cancer has been confirmed, indicating that interleukins
might be used to predict the aggressiveness of thyroid cancer
and provide some information for clinicians to make suitable
treatment decisions. Distant metastasis is the main cause of
disease-specific death in thyroid cancer patients (77). None of
the above studies found the correlation between interleukins
and distant metastasis of thyroid cancer. Considering the small
proportion of patients with distant metastasis in these studies,
the results may have some limitations. Therefore, further studies
should focus on the patients with distant metastasis, and
determine whether interleukins can be used to predict the risk
of distant metastasis. Evaluating the Risk of Tumorigenesis of
Thyroid Cancer Multiple genetic studies have demonstrated the association
between interleukins and the risk of thyroid cancer. Therefore,
interleukin gene testing of high-risk populations, including
patients with family history of thyroid cancer or radiation
exposure, could help to assess the risk of thyroid cancer more
accurately. Due to the differences of heritable factors among
different populations, genetic studies are needed in different
population to determine the clinical value of interleukins in
the risk of thyroid cancer. In addition, interleukins in human
body are affected by many other diseases, such as thyroiditis,
immune diseases, or other malignancy. However, there are no
reports on the tumor risk assessment of patients suffering from
thyroid cancer combined with other diseases. Furthermore, it is
unclear how these genetic polymorphisms affect the function and
production of interleukins. Expression of Interleukins in Thyroid
Tissues Therefore, interleukins could be potential biomarkers
in the pathological diagnosis of thyroid cancer, and a simple
immunohistochemical analysis in thyroid tissues could help
pathologists discriminate benign and malignant thyroid disease
accurately. However, similar to serum interleukins, further
studies on the expression of different interleukins and other
biomarkers in thyroid cancer are needed to improve their
clinical value. High levels of serum IL-2, IL-10, and IL-12 are correlated
to the aggressive tumor characteristics in patients with DTC
(51). Another study also reported that higher levels of positive
expression of IL-10 in thyroid cancer tissues were significantly
correlated to extrathyroidal invasion and larger tumor size (39). Recently, high expression of IL-13RA2 was also observed to be
correlated with advanced tumor stage in PTC tissues (30). Prognosis Evaluation and Recurrence
Surveillance Considering the utility in predicting recurrence and mortality
of thyroid cancer, postoperative risk estimation is recommended
to guide radioiodine therapy and follow-up strategies (78). Molecule profile enriches the risk estimate system and is
considered a prognostic factor of thyroid cancer. More and more
studies reported that interleukins are associated with survival of
thyroid cancer patients and are considered as potential predictors
of prognosis. Elevated serum IL-6 level is significantly associated
with poor overall survival in PTC patients (79). Besides, higher
expression of IL-10 in cancer tissues (39) and IL-17 in serum
(36) are related to shorter recurrence-free survival of thyroid
cancer patients. Frontiers in Immunology | www.frontiersin.org Predicting the Aggressiveness of Thyroid
Cancer Clinicopathological factors such as tumor size, extrathyroid
extension, lymph node metastasis, and distant metastasis
are common indicators of the aggressiveness of thyroid
cancer. Aggressiveness is a significant factor for tumor risk
stratification in clinical practice. Thyroid cancer patients with Although the prognosis of DTC patients is relatively favorable,
the recurrence rate after initial treatment reaches up to 8–23%
(80). Therefore, recurrence monitoring during follow-up is of June 2020 | Volume 11 | Article 1124 Frontiers in Immunology | www.frontiersin.org 8 Interleukins and Thyroid Cancer Xi et al. gene transfer and immunotherapy provide promising results
for gene therapy for thyroid cancer. An adenoviral vector
expressing thymidine kinase of herpes simplex virus (HSV-TK)
and IL-2 (AdCMVTKhIL2) was constructed, and about 63%
of MTC tumors were destroyed after intratumoral injection of
itAdCMVTKhIL2 and the antitumor effect of AdCMVTKhIL2 is
superior than each single vector (86). Besides, a retroviral vector
expressing HSV-TK and IL-2 could completely eradicate ATC
tumors and reduce DTC tumor size by more than 80% (87). To further optimize this therapeutic approach, new vector was
constructed by replacing the viral enhancer with the enhancer
sequence of the human Tg gene. This new vector allows selective
transgene expression and cell killing in DTC cells but not in
ATC cells (88). In addition, an in vitro and vivo study suggested
that combination of IL-12 and lanreotide (LAN), a somatostatin
analog, could suppress and kill MTC cells and improve quality of
life of MTC patients (89). great significance to provide timely and accurate information to
patients for intensive treatment. Serum thyroglobulin (Tg) level
after thyroidectomy and iodine ablation is the most effective
indicator of disease recurrence during follow-up, with high
sensitivity and accuracy. Interleukins such as IL-2 and IL-10
were correlated to tumor aggressiveness and to serum Tg level,
which suggests the involvement of interleukins would improve
the efficiency of Tg evaluation system (51). For DTC patients with
autoimmune disease or post-trauma immune system response,
the evaluation efficiency of Tg is greatly reduced due to
interference of thyroglobulin antibody (TgAb). Thus, effective
indicators are needed to monitor tumor recurrence in these
patients. In PTC patients with or without Hashimoto’s thyroiditis,
serum IL-4 and IL-10 levels were reported to be higher in cases
with persistent or recurrent disease than those without persistent
or recurrent disease, suggesting that they could select patients
who need close monitoring and intensive treatment (81). Predicting the Aggressiveness of Thyroid
Cancer p
RET mutations are responsible for the course of human
cancers (90). RET stimulation with its ligand GDNF induced
IL-8 production in thyroid cancer (97), In MTC animal
model, the decrease of serum IL-8 level is induced by RET
inhibitor Sunitinib (91). IL-8 promotes the proliferation, survival,
invasion, and angiogenesis of tumor. Therefore, inhibiting
activation of RETof thyroid cancer, which results in the
reduction of IL-8 secretion, may be an effective strategy for
thyroid cancer treatment. And the decreased expression of
IL-8 could be used to evaluate the curative effect of RET-
inhibited treatment. It is gradually accepted that cancer stem
cells (CSC) promote tumor growth, metastasis, recurrence and
drug-resistance. CSC is more abundant in ATC sample than DTC
(98). In human PTC specimens, a significant correlation between
Mast cell (MC) density and stemness features was observed. It is reported that MC-dependent IL-8–Akt–Slug pathway that
sustains EMT/stemness of thyroid cancer cells (23). Thus, the IL-
8-CXCR1/2 axis might be used as a targeted therapy in advanced
thyroid cancer. Taken together, interleukins could be potential biomarkers
used in prognosis evaluation and disease surveillance of thyroid
cancer. The risk stratification information based on interleukin
levels and clinicopathologic features could guide follow-up
management decisions of patients with thyroid cancer. However,
many other diseases also affect the production and function of
interleukins in human body. Therefore, more studies are needed
on thyroid cancer patients combined with other diseases to
further confirm the potential utility of interleukins in prognosis
evaluation and recurrence surveillance of thyroid cancer. CURRENT SITUATION OF INTERLEUKINS
IN TREATMENT OF THYROID CANCER Eighty percentage of DTC patients respond well to the current
combined treatment model of surgery, RAI therapy, and TSH
suppression. However, ∼10% of DTC patients have distant
metastasis at the time of diagnosis or develop distant metastasis
during follow-up, and these patients usually have poor response
to treatments (3). Besides, some DTC patients gradually progress
to be refractory to RAI (RR-DTC) during treatment. There is no
effective treatment for aggressive pathological types of thyroid
cancer, such as ATC. Therefore, new therapy model for these
patients are needed. Over recent decades, it has been suggested
that some interleukins have good prospects in the treatment of
thyroid cancer (Table 3). Due to its most significant antitumor activity among all
cytokines, IL-12 is one of the most promising interleukins in
clinical application. Both IL-12 gene therapy and recombinant
protein therapy inhibit thyroid cancer growth and prolonged
survival (99). However, systemic administration of recombinant
IL-12 caused dose-dependent toxicity in animals. In order
to alleviate this situation, some studies have investigated the
local expression of the IL-12 induced by transduction of
IL-12 expressing vectors into the tumor tissue. Injection of
AdTCPmIL-12 (92) and AdCMVmIL-12 (93) into MTC tumors
has antitumor effect to both primary and distant lesions, and
long-term antitumor immune was established. The combination
of AdTCPtk and AdTCPmIL-12 has stronger antitumor effect
to MTC than each single vector in vivo study (94). In addition,
AdCMVIL-12 has the same antitumor effect in FTC animal
model (95). Besides, a single-chain IL-12 fusion protein has
antitumor effect in ATC animal model, however lone-time tumor
immune was not observed in this study (96). IL-2 exerts its antitumor effect by activating cytotoxic
T
lymphocytes,
and
natural
killer
(NK)
cells. Genetic
immunotherapy of IL-2 has a promising prospect in the
application of the treatment of thyroid cancer, especially
for ATC and MTC (82, 83). In animal models of MTC,
about 42.9% of cases were cured by directly intratumoral
injection of Replication-defective adenovirus expressing IL-2
(AdCMVmIL2) and most of the cured rats developed systemic
immunity (84). Several studies have evaluated the possibility of
IL-2 combined with other treatments to enhance the antitumor
effects. The tumor growth can be inhibited and even eliminated
after injection of IL-2 or IL-4. Moreover, IL-2 and IL-4 have a
synergistic inhibitory effect (85). Frontiers in Immunology | www.frontiersin.org CURRENT SITUATION OF INTERLEUKINS
IN TREATMENT OF THYROID CANCER The combination of suicide IL13Rα2 could serve as a target of therapeutic intervention
of some malignant tumor and current trials mainly involve
glioblastoma multiforme (100). In thyroid cancer, IL13Rα2 was June 2020 | Volume 11 | Article 1124 Frontiers in Immunology | www.frontiersin.org 9 Interleukins and Thyroid Cancer Xi et al. TABLE 3 | Current situation of treatments targeting on interleukins in thyroid cancer. Authors
Year
Samples
ILs
Zhang et al. (84)
1999
Wag/Rij rats
IL-2
Cressent. et al.(85)
1995
WagRij rats
IL-2
Zhang and DeGroot (86)
2001
Wag/Rij rats
IL-2
Barzon et al. (87)
2003
nude mice
IL-2
Barzon et al. (88)
2002
nude mice
IL-2
Vitale et al. (89)
2013
TT cells
MTC patients
IL-2
Iwahashi et al. (90)
2002
TPC-1 and TT cell
line
IL-8
Broutin et al. (91)
2011
TT cell line
Animal model
IL-8
Yamazaki et al. (92)
2002
Animal model
IL-12
Zhang and DeGroot (93)
2000
Animal model
IL-12
Yamazaki et al. (94)
2004
WAG/Rij rats
IL-12
Zhang and DeGroot (95)
2003
Rats model
IL-12
Shi et al. (96)
2003
Nude mice
IL-12
Gu (31)
2018
TPC-1 and ARO
cell line
IL13Rα2
ILs, interleukins; MTC, medullary thyroid cancer. TABLE 3 | Current situation of treatments targeting on interleukins in thyroid cancer. Authors
Year
Samples
ILs
Findings
Zhang et al. (84)
1999
Wag/Rij rats
IL-2
1. AdCMVmIL2 has antitumor effects and could establish
tumor immune in MTC animal model. 2. AdCMVmIL2 has low toxicity
Cressent. et al.(85)
1995
WagRij rats
IL-2
1. Injection of IL-2 or IL-4 inhibit the growth of tumor in
MTC animal model. 2. IL-2 and IL-4 were synergistic in their inhibitory effects
Zhang and DeGroot (86)
2001
Wag/Rij rats
IL-2
1. AdCMVTKhIL2 destroyed 63% of tumors in MTC
animal model. 2. The antitumor effect of AdCMVTKhIL2 is superior
than each single vector
Barzon et al. (87)
2003
nude mice
IL-2
A retroviral vector expressing HSV-TK and IL-2
completely eradicate tumors of ATC and reduce more
than 80% tumor size of DTC
Barzon et al. (88)
2002
nude mice
IL-2
A new targeted vector of which viral enhancer replaced
by human Tg gene enhancer has antitumor effect to DTC
Vitale et al. (89)
2013
TT cells
MTC patients
IL-2
Combination of IL-12 and LAN could suppress MTC
cells and improve quality of life in MTC patients
Iwahashi et al. CURRENT SITUATION OF INTERLEUKINS
IN TREATMENT OF THYROID CANCER (90)
2002
TPC-1 and TT cell
line
IL-8
RET induces IL-8 production from both PTC and MTC
cells through many signal pathways
Broutin et al. (91)
2011
TT cell line
Animal model
IL-8
Sunitinib decreases the serum level of IL-8 in mice model
Yamazaki et al. (92)
2002
Animal model
IL-12
1. AdTCPmIL-12 has antitumor effects on tumor in MTC
animal model. 2. AdTCPmIL-12 induces tumor bearing rats to
establish long-time tumor immune
Zhang and DeGroot (93)
2000
Animal model
IL-12
1. AdCMVmIL-12 has antitumor effects on tumor in MTC
animal model. 2. AdCMVmIL-12 induced tumor bearing rats to
establish long-time tumor immune
Yamazaki et al. (94)
2004
WAG/Rij rats
IL-12
The combination of AdTCPtk and AdTCPmIL-12 has
stronger antitumor effects on MTC than each single
vector in MTC animal model
Zhang and DeGroot (95)
2003
Rats model
IL-12
AdCMVIL-12 has antitumor effects in FTC animal model
Shi et al. (96)
2003
Nude mice
IL-12
1. A single-chain IL-12 fusion protein has antitumor
effects in ATC animal model. 2. Long-time tumor immune was not observed in this
study
Gu (31)
2018
TPC-1 and ARO
cell line
IL13Rα2
The number of invading cells declined significantly after
the knockdown of IL IL13Rα2
ILs interleukins; MTC medullary thyroid cancer TABLE 3 | Current situation of treatments targeting on interleukins in thyroid cancer. cancer in order to find more potential targets for the treatment
of thyroid cancer. Besides, the interleukins, which has been
proved to be effective in basic researches, should be studied in
combination with other drugs. observed to promote aggressive behavior of tumor through
promoting EMT (30). The number of invading cells declined
significantly after the knockdown of IL IL13Rα2, indicating the
possibility of IL13Rα2 used as a novel target in the treatment
of thyroid cancer (31). However, no study has reported IL13Rα2
could be used in treatment of thyroid cancer. Frontiers in Immunology | www.frontiersin.org ILs, interleukins; MTC, medullary thyroid cancer. REFERENCES Current
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IL-11 mediates tumorigenicity in hypoxic cancer cells. J Clin Invest. (2013)
123:1615–29. doi: 10.1172/JCI59623 13. Baker KJ, Houston A, Brint E. IL-1 family members in cancer; two sides
to every story. Front Immunol. (2019) 10:1197. doi: 10.3389/fimmu.2019. 01197 26. Zhong Z, Hu Z, Jiang Y, Sun R, Chen X, Chu H, et al. Interleukin-11
promotes epithelial-mesenchymal transition in anaplastic thyroid carcinoma
cells through PI3K/Akt/GSK3beta signaling pathway activation. Oncotarget. (2016) 7:59652–63. doi: 10.18632/oncotarget.10831 14. Inokuchi N, Zeki K, Morimoto I, Nakano Y, Fujihira T, Yamashita
U, et al. CONCLUSION Interleukins have good prospects in the treatment of thyroid
cancer. Studies mentioned above have reported that some
interleukins could be used in the treatment of thyroid cancer
and evaluation of curative effect. However, researches on the
treatment of thyroid cancer by interleukin are limited to cell
and animal researches. This may be because the mechanism of
interleukins in thyroid cancer is not fully understood. Studies
should further explore the mechanisms of interleukins in thyroid Basic researches have confirmed that interleukins have significant
roles in thyroid cancer through different potential mechanisms. Few interleukins exhibit anti-tumor roles in thyroid cancer,
while most show pro-tumor effects. Interleukins have promising
prospect in clinical practice of thyroid cancer. They enhance
the accuracy of diagnosis of thyroid cancer and provide novel June 2020 | Volume 11 | Article 1124 Frontiers in Immunology | www.frontiersin.org 10 Xi et al. Xi et al. Interleukins and Thyroid Cancer ACKNOWLEDGMENTS We thank Liwen Bianji, Edanz Editing China (www.liwenbianji. cn/ac), for editing the English text of this manuscript. FUNDING This review was supported by the National Natural Science
Foundation of China, under grant no. 81771865, and by the
Shanghai Key Discipline of Medical Imaging, under grant
no. 2017ZZ02005. AUTHOR CONTRIBUTIONS treatments approaches. Besides, interleukins may also be used as
biomarkers of surveillance for recurrence and serve as prognostic
factors in thyroid cancer. However, there still some limitations on
the clinical applications of interleukins in thyroid cancer. Firstly,
only a few interleukins in thyroid cancer have been described,
and potential mechanisms of other interleukins are not very clear. Secondly, there are some differences in the results of the clinical
study on the utility of interleukins in thyroid cancer, which may
be due to the different methods and different sample size. In
addition, interleukins level in human is affected by many diseases,
and to date there is no studies focusing on the accuracy and
clinical value of interleukins in discriminating thyroid tumors
combined with other diseases. Finally, the use of interleukins
in the treatment of thyroid cancer is limited to cell and animal
researches. However, what certain is that with future researches,
interleukins will provide more help for clinicians and patients. treatments approaches. Besides, interleukins may also be used as
biomarkers of surveillance for recurrence and serve as prognostic
factors in thyroid cancer. However, there still some limitations on
the clinical applications of interleukins in thyroid cancer. Firstly,
only a few interleukins in thyroid cancer have been described,
and potential mechanisms of other interleukins are not very clear. Secondly, there are some differences in the results of the clinical
study on the utility of interleukins in thyroid cancer, which may
be due to the different methods and different sample size. In
addition, interleukins level in human is affected by many diseases,
and to date there is no studies focusing on the accuracy and
clinical value of interleukins in discriminating thyroid tumors
combined with other diseases. Finally, the use of interleukins
in the treatment of thyroid cancer is limited to cell and animal
researches. However, what certain is that with future researches,
interleukins will provide more help for clinicians and patients. All authors listed have made a substantial, direct and intellectual
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absence of any commercial or financial relationships that could be construed as a
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et al. IL-12 immunotherapy of Braf(V600E)-induced papillary thyroid cancer
in a mouse model. Lab Invest. (2015) 96:89–97. doi: 10.1038/labinvest. 2015.126 Copyright © 2020 Xi, Zhang, Sun, Song, Shen, Chen, Sun, Qiu and Luo. This is an
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provided the original author(s) and the copyright owner(s) are credited and that the
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Targeted knockdown of PGAM5 in synovial macrophages efficiently alleviates osteoarthritis
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Zhouyi Duan Department of Orthopedic Surgery, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School
of Medicine (SJTUSM), Shanghai 200092, China;National Facility for Translational Medicine
Bingjun Zhang Department of Orthopedic Surgery, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School
of Medicine (SJTUSM), Shanghai 200092, China;National Facility for Translational Medicine
Bingjun Zhang xiaoling zhang xiaoling zhang Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of MedicineInstitute of health
science
https://orcid.org/0000-0002-0134-1347 Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
https://orcid.org/0000-0001-9151-5146 Ruihan Hao
Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (SJTUSM)
Jia Lv
Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, Shanghai Key Laboratory of
Regulatory Biology, School of Life Sciences, East China Normal University
Jie Yuan
The Second Hospital of Shanxi Medical University Ruihan Hao
Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (SJTUSM)
Jia Lv
Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, Shanghai Key Laboratory of
Regulatory Biology, School of Life Sciences, East China Normal University
Jie Yuan
The Second Hospital of Shanxi Medical University Bingjun Zhang Department of Orthopedic Surgery, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School
of Medicine (SJTUSM), Shanghai 200092, China;National Facility for Translational Medicine
Liming Dai Department of Orthopedic Surgery, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School
of Medicine (SJTUSM), Shanghai 200092, China;National Facility for Translational Medicine
Liming Dai Department of Orthopedic Surgery, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School
of Medicine (SJTUSM), Shanghai 200092, China;National Facility for Translational Medicine
Yiyun Cheng Page 1/26 Page 1/26 Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, Shanghai Key Laboratory of
Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, P. R. Chi
Wei Lu
CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health
University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
Article
Keywords: osteoarthritis, macrophage polarization, PGAM5, β-catenin, macrophage-targeted therapy
Posted Date: November 20th, 2023
DOI: https://doi.org/10.21203/rs.3.rs-3566658/v1
License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License
Additional Declarations: (Not answered)
Version of Record: A version of this preprint was published at Bone Research on March 4th, 2024. See th
published version at https://doi.org/10.1038/s41413-024-00318-8. Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, Shanghai Key Laboratory of
Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai 200241, P. R. Chi
Wei Lu Wei Lu
CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Heal
University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
Article
Keywords: osteoarthritis, macrophage polarization, PGAM5, β-catenin, macrophage-targeted therapy
Posted Date: November 20th, 2023
DOI: https://doi.org/10.21203/rs.3.rs-3566658/v1
License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License
Additional Declarations: (Not answered)
Version of Record: A version of this preprint was published at Bone Research on March 4th, 2024. See t CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health,
University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China Article
Keywords: osteoarthritis, macrophage polarization, PGAM5, β-catenin, macrophage-targeted therapy
Posted Date: November 20th, 2023
DOI: https://doi.org/10.21203/rs.3.rs-3566658/v1
License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License
Additional Declarations: (Not answered) Version of Record: A version of this preprint was published at Bone Research on March 4th, 2024. See the
published version at https://doi.org/10.1038/s41413-024-00318-8. Article Additional Declarations: (Not answered) Version of Record: A version of this preprint was published at Bone Research on March 4th, 2024. See the
published version at https://doi.org/10.1038/s41413-024-00318-8. Page 2/26 Abstract Osteoarthritis (OA) is a common degenerative disease worldwide and new therapeutics that target
inflammation and the crosstalk between immunocytes and chondrocytes are being developed to prevent
and treat OA. These attempts involve repolarizing pro-inflammatory M1 macrophages into the anti-
inflammatory M2 phenotype in synovium. In this study, we found that phosphoglycerate mutase 5
(PGAM5) significantly increased in macrophages in OA synovium compared to controls based on
histology of human samples and single-cell RNA sequencing results of mice models. To address the role
of PGAM5 in macrophages in OA, we found conditional knockout of PGAM5 in macrophages greatly
alleviated OA symptoms in vivo and promoted anabolic metabolism of chondrocytes in vitro. Mechanistically, we found that PGAM5 enhanced M1 polarization via AKT-mTOR/p38/ERK pathways,
whereas inhibited M2 polarization via STAT6-PPARγ pathway in murine bone marrow-derived
macrophages. Furthermore, we found that PGAM5 directly dephosphorylated Dishevelled Segment
Polarity Protein 2 (DVL2) which resulted in the inhibition of β-catenin and repolarization of M2
macrophages into M1 macrophages. Conditional knockout of both PGAM5 and β-catenin in
macrophages significantly exacerbated osteoarthritis compared to PGAM5-deficient mice. Motivated by
these findings, we successfully designed mannose modified fluoropolymers combined with siPGAM5 to
inhibit PGAM5 specifically in synovial macrophages via intra-articular injection, which possessed desired
targeting abilities of synovial macrophages and greatly attenuated murine osteoarthritis. Collectively,
these findings defined a key role for PGAM5 in orchestrating macrophage polarization and provides
insights into novel macrophage-targeted strategy for treating OA. Introduction Osteoarthritis (OA) is the most common joint degenerative and age-related disorder and is characterized
by cartilage degradation, ectopic osteophyte formation, subchondral bone remodeling, and synovial
inflammation.[1, 2] Current standard of care does not provide satisfactory relief for many patients due to
the complex pathophysiology of OA. [3] One of the primary pathologies of osteoarthritis is chronic and
low-grade inflammation mainly caused by joint damage and debris, which triggers the innate immune
response in the early stage of OA and finally results in infiltration of immune cells and synovial
hyperplasia.[4] In OA synovium, M1 and M2 macrophages compete with each other in various pathologic
conditions, which is critical for the homeostasis of OA.[5] M1 macrophages accumulated more in the
synovial membrane of experimental OA than M2 macrophages and further exacerbated the progression
of OA, while M2 macrophages could induce cartilage synthesis and inhibit chondrocyte apoptosis.[5–7]
Thus, exploring the mechanisms underlying macrophage polarization and remodeling synovial
macrophages is emerging as a strategy for OA intervention. Phosphoglycerate mutase 5 (PGAM5) is a mitochondrial serine/threonine phosphatase located in the
mitochondrial membrane,[8] which acts as a critical regulator of mitochondrial metabolism and
dynamics and controls a series of functions of cells. PGAM5 is vital in programmed cell necrosis by
dephosphorylating Drp1, leading to mitochondrial fragmentation.[9] PGAM5 also regulates mitophagy by Page 3/26 Page 3/26 recruiting the E3 ubiquitin ligase PARKIN or dephosphorylating FUNDC1 to modulate the degradation of
mitochondria.[10] In addition, PGAM5 modulates cellular senescence by regulating mitochondrial
dynamics[11] and was also shown to enhance inflammasome activation in macrophages, which has a
critical role in processing of pro-IL-1β in bone marrow-derived macrophages (BMDMs).[12] However, the
role of PGAM5 in regulating synovial macrophages in OA has not been reported before. We herein found macrophage PGAM5 significantly increased in macrophages in OA synovium based on
histology of human samples and single-cell RNA sequencing results of mice models. Furthermore, we
found that conditional knockout of PGAM5 in macrophages alleviated murine OA symptoms via
repolarizing M1 macrophages into M2 macrophages in synovium. Mechanistically, we found PGAM5
enhanced M1 polarization via AKT-mTOR/P38/ERK signaling pathways, whereas inhibited M2
polarization via STAT6-PPARγ signaling pathway. Besides, we identified PGAM5 inhibited β-catenin via
dephosphorylation of DVL2 to regulate macrophage polarization and conditional knockout of both
PGAM5 and β-catenin in macrophages led to increased OA symptoms compared to PGAM5-deficient
mice. Introduction In order to precisely modulate PGAM5 in synovial macrophages of OA, we constructed
nanoparticles (NPs) composed of mannose modified fluoropolymers and siPGAM5 to inhibit PGAM5
specifically in macrophages, which significantly reduced the OA symptoms via repolarization of M1
macrophages into M2 macrophages(Fig. 1). Our results, therefore, demonstrated that PGAM5 plays a
critical role in regulating macrophage polarization which has excellent potential for clinical OA treatment. PGAM5 expression increased in macrophages of the OA
synovium To investigate the factors that modulate the progression of osteoarthritis, we examined human synovium
from OA patients and normal controls (patients with femoral fracture) and observed enhanced expression
of inducible nitric oxide synthase (iNOS) and reduced expression of CD206 in the OA synovium compared
to controls (Fig. 2a). Immunohistochemistry showed that PGAM5 was mainly detected in the human OA
synovium (Fig. 2a). To address the role of PGAM5 in OA macrophages, we further observed increased
expression of PGAM5 in macrophages in human OA synovium compared to controls, as confirmed by
double-positive immunostaining for PGAM5 and CD68, a marker of macrophages (Fig. 2b), indicating the
potential role of PGAM5 in modulating macrophages in the OA synovium. In addition, we confirmed that
the protein and RNA levels of PGAM5 increased in human OA synovium (Fig. 2c). Based on the results in
human samples, we further performed destabilization of the medial meniscus (DMM) surgery in 8-week-
old male wild - type (WT) mice. The knee joints of mice were collected and sectioned for histological
examination 28 days after DMM surgery, safranin O staining and immunohistochemistry of matrix
metalloproteinase 13 (MMP13) and aggrecan (ACAN) in the knee joints indicated successful joint
osteoarthritis induction in the DMM group (Fig. 2d). As expected, we also observed enhanced iNOS and
reduced CD206 expression in the OA synovium of mice, and PGAM5 was upregulated in the murine Page 4/26 Page 4/26 synovium of DMM model compared to the sham group (Fig. 2d). We further investigated the databa
NCBI and reanalyzed the single-cell RNA sequencing for murine synovium in an OA model induced b
anterior cruciate ligament rupture (ACLR)[13] and found that the expression of PGAM5 increased in t
synovial cells of OA mice compared to the sham group, specifically in the macrophage cluster which
showed enhanced expression of IL1b, IL6, and reduced expression of Pparg and IL10 in the surgical
group (Fig. 2e, f), indicating that PGAM5 might be a potential regulatory factor of OA macrophages i
synovium. PGAM5 regulated osteoarthritis in mice by modulating
macrophage polarization To address the role of macrophage PGAM5 in osteoarthritis, we generated Pgam5 fl/fl -lyz2-Cre (Pgam5
cKO) mice, by crossing Pgam5 fl/fl mice with transgenic mice that carried lysozyme (Lyz2) proximal
promoter - mediated Cre recombinase, which specifically ablates PGAM5 from macrophages. We then
employed DMM surgery in 8-week-old male Pgam5 fl/fl and Pgam5 cKO mice for 28 days. We found that
Pgam5 cKO mice exhibited relieved OA symptoms compared to Pgam5 fl/fl mice, indicated by enhanced
safranin O staining, increased expression of ACAN, and decreased expression of MMP13 in cartilage
(Fig. 3a). We further observed decreased M1 and increased M2 macrophages in the synovium of Pgam5
cKO mice compared to Pgam5 fl/fl mice, as confirmed by immunofluorescence of iNOS and CD206
(Fig. 3a, b). RNA-seq of bone marrow-derived macrophages (BMDMs) from Pgam5 cKO mice and Pgam5
fl/fl mice was performed to evaluate the modulatory role of PGAM5 deletion on macrophages at the
transcriptome level. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that
various macrophage polarization-associated pathways, including the Toll-like receptor signaling pathway,
PI3K-Akt signaling pathway, MAPK signaling pathway, and arginine biosynthesis[14] in BMDMs of
Pgam5 cKO mice were significantly different from that in BMDMs of Pgam5 fl/fl mice, suggesting that
PGAM5 potentially modulated macrophage polarization (Fig. 3c). mRNA levels of M1 markers, iNOS and
CD80, and M2 markers, arginase 1 (Arg1) and CD206, were detected in peritoneal macrophages of
Pgam5 cKO and Pgam5 fl/fl mice, which indicated that Pgam5 cKO mice showed fewer proinflammatory
phenotypes than Pgam5 fl/fl mice (Fig. 3d). These results were validated by flow cytometry of peritoneal
macrophages, which indicated fewer CD86+ (M1) and more CD206+ (M2) cells in Pgam5 cKO
macrophages (Fig. 3e). To further examine the potential function of PGAM5 in macrophage polarization,
we examined whether the expression of PGAM5 changed during the induction of macrophage
polarization. BMDMs of WT mice were collected and induced to the M1 polarized state by
lipopolysaccharide (LPS) and interferon-γ (IFNγ) or induced to the M2 state by stimulation with IL4. M1
induction significantly reduced PGAM5 mRNA and protein levels within 24 h. However, M2 induction
increased PGAM5 mRNA and protein levels in macrophages within 24 h(Fig. 3f, g). The results above
indicated that PGAM5 might be involved in regulating macrophage polarization to modulate OA. PGAM5 enhanced M1 polarization and inhibited M2
polarization of BMDMs PGAM5 enhanced M1 polarization and inhibited M2
polarization of BMDMs The
protein levels of ACAN and MMP3 and the mRNA levels of COL2A1 and SOX9 in chondrocytes indicated
that PGAM5 deletion in macrophages limited the proinflammatory phenotypes of chondrocytes (Fig. 4e,
f). Next, we aimed to investigate whether PGAM5 plays an essential role in M2 macrophage polarization. Pgam5 cKO and Pgam5 fl/fl BMDMs were isolated and stimulated with IL4 for 24 hr for M2 induction. After IL-4 stimulation, Pgam5 cKO BMDMs expressed enhanced mRNA levels of Arg1, CD206, PPARγ, and
IL10, compared to Pgam5 fl/fl BMDMs (Fig. 4g). The number of CD206 + cells was significantly higher in
Pgam5 cKO BMDMs than in Pgam5 fl/fl BMDMs after M2 induction, as determined by flow cytometry
(Fig. 4h). The protein level of CD206 significantly increased in Pgam5−cKO BMDMs compared to Pgam5
fl/fl macrophages after M2 induction (Fig. 4i). In conclusion, Pgam5 led to an increased M1 response and
a decreased M2 response in macrophages in vitro. PGAM5 enhanced M1 polarization and inhibited M2
polarization of BMDMs Page 5/26 Page 5/26 To further illustrate the role of PGAM5 in macrophage polarization, we isolated BMDMs from Pgam5 cKO
and Pgam5 fl/fl mice and induced them to an M1-polarized state by LPS plus IFN-γ for 24 hr in vitro. PGAM5 deletion in BMDMs significantly suppressed the mRNA levels of proinflammatory genes,
including iNOS, IL1α, IL1β, IL6, and IL12, compared with that in Pgam5 fl/fl macrophages (Fig. 4a). The
number of CD86+ cells was significantly lower in Pgam5 cKO BMDMs than in Pgam5 fl/fl BMDMs after
M1 induction, as determined by flow cytometry (Fig. 4b). Enzyme-linked immunosorbent assay (ELISA) of
the supernatant of BMDMs treated with LPS plus IFN-γ also verified that PGAM5 deletion led to
decreased secretion of proinflammatory cytokines in macrophages (Fig. 4c). In addition, the protein level
of iNOS was significantly lower in Pgam5 cKO BMDMs than in Pgam5 fl/fl macrophages after M1
induction (Fig. 4d). To clarify the influence of PGAM5-deficient macrophages on cartilage, BMDMs from
Pgam5 cKO and Pgam5 fl/fl mice were cocultured with chondrocytes after M1 induction in vitro. The
protein levels of ACAN and MMP3 and the mRNA levels of COL2A1 and SOX9 in chondrocytes indicated
that PGAM5 deletion in macrophages limited the proinflammatory phenotypes of chondrocytes (Fig. 4e,
f). To further illustrate the role of PGAM5 in macrophage polarization, we isolated BMDMs from Pgam5 cKO
and Pgam5 fl/fl mice and induced them to an M1-polarized state by LPS plus IFN-γ for 24 hr in vitro. PGAM5 deletion in BMDMs significantly suppressed the mRNA levels of proinflammatory genes,
including iNOS, IL1α, IL1β, IL6, and IL12, compared with that in Pgam5 fl/fl macrophages (Fig. 4a). The
number of CD86+ cells was significantly lower in Pgam5 cKO BMDMs than in Pgam5 fl/fl BMDMs after
M1 induction, as determined by flow cytometry (Fig. 4b). Enzyme-linked immunosorbent assay (ELISA) of
the supernatant of BMDMs treated with LPS plus IFN-γ also verified that PGAM5 deletion led to
decreased secretion of proinflammatory cytokines in macrophages (Fig. 4c). In addition, the protein level
of iNOS was significantly lower in Pgam5 cKO BMDMs than in Pgam5 fl/fl macrophages after M1
induction (Fig. 4d). To clarify the influence of PGAM5-deficient macrophages on cartilage, BMDMs from
Pgam5 cKO and Pgam5 fl/fl mice were cocultured with chondrocytes after M1 induction in vitro. PGAM5 induced M1 polarization via the AKT-mTOR/P38/ERK signaling pathway, whereas inhibited M2
polarization through STAT6-PPARγ signaling pathway In previous studies, a series of signaling pathways were activated by induction of M1 polarization, such
as the AKT-mTOR and MAPK signaling pathways.[12] We further examined whether PGAM5 promotes M1
polarization through these specific signals. Treated with LPS and IFNγ, BMDMs from Pgam5 cKO mice
significantly showed lower protein levels of p-p38 and p-ERK than Pgam5 fl/fl macrophages and nearly
identical expression of total p38 and total ERK, indicating that PGAM5 activates the p38 and ERK
signaling pathways to enhance M1 polarization since MAPK signaling has been proven to increase M1
polarization in previous studies[15] (Fig. 5a). However, we did not find different expression pattern of p-
JNK in Pgam5 cKO and Pgam5 fl/fl BMDMs (Fig. 5a). p-AKT and p-mTOR significantly decreased in
Pgam5 cKO macrophages compared with Pgam5 fl/fl macrophages stimulated by LPS and IFNγ (Fig. 5a). To explore the possible role of AKT and mTOR in mediating the intensive role of PGAM5 in macrophage
inflammation, we employed the specific mTOR activator MHY1485[16] to activate the mTOR pathway. Activating mTOR rescued the decreased levels of iNOS, IL1α, IL1β and IL-6 in PGAM5-deficient
macrophages after LPS and IFNγ stimulation, as examined by qPCR (Fig. 5b), indicating that mTOR Page 6/26 Page 6/26 activity is involved in the regulation of M1 macrophage polarization by PGAM5. The protein level of iNOS
was also enhanced in the presence of MHY1485 in Pgam5−cKO macrophages (Fig. 5c). The activation of
mTOR, also presented by phosphorylation of mTOR, increased in BMDMs when treated with doses of 0, 1,
5, and 10 µM of MHY1485 (Fig. 5d), and the mRNA levels of iNOS, IL1α, IL1β, and IL6 increased in Pgam5
cKO macrophages in a dose-dependent manner (Fig. 5e), indicating that PGAM5 promoted the M1
phenotype by activating the mTOR signaling pathway. activity is involved in the regulation of M1 macrophage polarization by PGAM5. The protein level of iNOS
was also enhanced in the presence of MHY1485 in Pgam5−cKO macrophages (Fig. 5c). The activation of
mTOR, also presented by phosphorylation of mTOR, increased in BMDMs when treated with doses of 0, 1,
5, and 10 µM of MHY1485 (Fig. 5d), and the mRNA levels of iNOS, IL1α, IL1β, and IL6 increased in Pgam5
cKO macrophages in a dose-dependent manner (Fig. 5e), indicating that PGAM5 promoted the M1
phenotype by activating the mTOR signaling pathway. PGAM5 induced M1 polarization via the AKT-mTOR/P38/ERK signaling pathway, whereas inhibited M2
polarization through STAT6-PPARγ signaling pathway To explore the mechanisms by which PGAM5 modulates M2 polarization, we focused on the STAT6-
PPARγ signaling pathway, which regulates M2 polarization.[17] After stimulation with IL4 for 24 hr, the
protein levels of PPARγ and p-STAT6 enhanced in Pgam5−cKO BMDMs compared to Pgam5 fl/fl BMDMs
(Fig. 5f), indicating that the STAT6-PPARγ signaling pathway might be involved in PGAM5-mediated M2
polarization. Next, inhibition of PPARγ by a specific inhibitor, T0070907,[18] markedly reduced the protein
level of CD206 in a dose-dependent manner (Fig. 5g). Furthermore, T0070907 decreased the M2
polarization response in Pgam5 cKO macrophages, as indicated by significantly decreased mRNA levels
of Arg1, chitinase-like 3 (Ym1), and CD206 (Fig. 5h). Besides, the protein level of CD206 was also
markedly reduced by treatment with T0070907 in Pgam5−cKO macrophages stimulated by IL4 (Fig. 5i),
suggesting that M2 polarization was regulated by PGAM5 through the STAT6-PPARγ signaling pathway. To identify the role of STAT6 in the PGAM5 modulation of M2 polarization, specific inhibition of STAT6
by AS1517499[19] was added to Pgam5 cKO and Pgam5 fl/fl macrophages at a dose of 10 µM. As a
result, the protein expression of PPARγ and CD206 significantly reduced, indicating that STAT6 functions
as a regulator of PPARγ (Fig. 5j). In conclusion, PGAM5 regulates M2 polarization via the STAT6-PPARγ
signaling pathway. PGAM5 regulated macrophage polarization by targeting the β-catenin pathway via dephosphorylation of
DVL2. Although we have identified the related signaling pathways that regulate PGAM5-mediated macrophage
polarization, the direct target of PGAM5 in regulating macrophage polarization has not been verified. PGAM5 was reported to inhibit the Wnt/β-catenin signaling pathway on the mitochondrial membrane in
human cells and Xenopus embryogenesis.[20] Moreover, the β-catenin signaling pathway is closely
correlated with macrophage activation and polarization.[21–23] Nevertheless, whether PGAM5
modulates β-catenin in synovial macrophage polarization and the related targets have not been reported. Thus, we first examined the potential regulation of PGAM5 on β-catenin in macrophage polarization. Pgam5 cKO and Pgam5fl/fl BMDMs were isolated and stimulated to induce M1 or M2 polarization. After
24 hr of stimulation, Pgam5 cKO BMDMs showed increased phosphorylation of β-catenin at Ser675 and
decreased phosphorylation at Thr41/Ser45 in both the M1- and M2-polarized states, and increased
protein levels of β-catenin were detected in the M1-polarized state compared to Pgam5fl/fl BMDMs,
indicating that PGAM5 triggered inhibition of β-catenin in both M1 and M2 polarization (Fig. 6a). To
better confirm the target of PGAM5 on β-catenin in macrophage polarization, we focused on whether
PGAM5 could dephosphorylate Dishevelled Segment Polarity Protein 2 (DVL2), which is a inhibitory Page 7/26 Page 7/26 regulator in the upstream of β-catenin signaling pathway. Interestingly, the phosphorylation sites of DVL2,
S143 and T224, were both increased in Pgam5 cKO macrophages when induced to M1 and M2-polarized
states compared to Pgam5fl/fl BMDMs (Fig. 6a), indicating potential interaction of PGAM5 and DVL2. Thus, we detected whether PGAM5 could directly bind to DVL2 and found that PGAM5 could be
coimmunoprecipitated with DVL2 in both M1 and M2 macrophages (Fig. 6b), indicating PGAM5 directly
dephosphorylated DVL2 via binding to it. We then focused on whether β-catenin was involved in PGAM5-
modulated macrophage polarization. Specific inhibition of β-catenin by ICG-001[24] increased the protein
levels of p-p38, p-ERK and iNOS. ICG-001 also reduced the expression of p-STAT6, PPARγ, and CD206,
indicating that β-catenin functions as a regulator of macrophage polarization (Fig. 6c, d). In addition, as
predicted, the expression of β-catenin increased in the OA synovium of Pgam5 cKO mice compared to
Pgam5fl/fl mice (Fig. 6e). Thus, these results indicated that PGAM5 modulated macrophage polarization
by inhibiting the β-catenin pathway via directly targeting DVL2. PGAM5 regulated macrophage polarization by targeting the β-catenin pathway via dephosphorylation of
DVL2. Take F7 for example, the mannose grafted polymer conjugated with 10
F7 ligands and 15 F7 ligands were termed MFP7-1 and MFP7-2, respectively. The siRNA delivery efficacy
of the synthesized nanoparticles (NPs) was first screened on Raw264.7 cells. MFP9-2/siPGAM5
complexes exhibited the highest gene knockdown efficiency, which was higher than that of the
Lipofectamine 2000 (Lipo)/siPGAM5 complexes (Fig. 7b). The MFP9-2 transported the FAM-labelled
siRNA into the CD68 + synovial macrophages rather than chondrocytes efficiently after intraarticular
injection (Fig. 7c), which is beneficial for achieving macrophage-targeted RNAi. To validate the
therapeutic efficacy of the MFP9-2 based siRNA delivery system, MFP9-2/siPGAM5 complex was injected
into the joint of WT mice twice weekly in early stage of OA established by DMM surgery and the joints
were collected 28 days after DMM surgery. Sham group, DMM group with no injection and DMM group
with injection of MFP9-2 combined with siNC (MFP9-2/siNC) were established as controls (Fig. 7d). Intraarticular injection of MFP9-2/siPGAM5 greatly relieved the OA symptoms compared to DMM group
and DMM with injection of MFP9-2/siNC group, indicated by increased safranine O staining area,
decreased expression of MMP13 and enhanced level of ACAN in cartilage (Fig. 7d). Besides, the amount
of iNOS positive cells in synovium treated with MFP9-2/siPGAM5 greatly decreased, while CD206 positive
cells increased compared to DMM group and DMM with injection of MFP9-2/siNC group (Fig. 7e, g),
indicating the availability of macrophage modulation in OA synovium by MFP9-2/siPGAM5. To further
confirm the modulatory function of MFP9-2/siPGAM5, we detected whether the relief of OA symptoms
was the result of PGAM5 inhibition in synovial macrophage by MFP9-2/siPGAM5. We found that
injection of MFP9-2/siPGAM5 greatly decreased the level of PGAM5 in CD68 positive macrophages in
synovium compared to injection of MFP9-2/siNC with FAM (Fig. 7f, g), indicating successful targeting
and inhibiting of PGAM5 in synovial macrophages, which could further achieve better OA outcomes. via an amine-isocyanate reaction, and an average number of 1 mannose was conjugated on each
polymer calculated by 1H NMR. Take F7 for example, the mannose grafted polymer conjugated with 10
F7 ligands and 15 F7 ligands were termed MFP7-1 and MFP7-2, respectively. The siRNA delivery efficacy
of the synthesized nanoparticles (NPs) was first screened on Raw264.7 cells. MFP9-2/siPGAM5
complexes exhibited the highest gene knockdown efficiency, which was higher than that of the
Lipofectamine 2000 (Lipo)/siPGAM5 complexes (Fig. 7b). PGAM5 regulated macrophage polarization by targeting the β-catenin pathway via dephosphorylation of
DVL2. The MFP9-2 transported the FAM-labelled
siRNA into the CD68 + synovial macrophages rather than chondrocytes efficiently after intraarticular
injection (Fig. 7c), which is beneficial for achieving macrophage-targeted RNAi. To validate the
therapeutic efficacy of the MFP9-2 based siRNA delivery system, MFP9-2/siPGAM5 complex was injected
into the joint of WT mice twice weekly in early stage of OA established by DMM surgery and the joints
were collected 28 days after DMM surgery. Sham group, DMM group with no injection and DMM group
with injection of MFP9-2 combined with siNC (MFP9-2/siNC) were established as controls (Fig. 7d). Intraarticular injection of MFP9-2/siPGAM5 greatly relieved the OA symptoms compared to DMM group
and DMM with injection of MFP9-2/siNC group, indicated by increased safranine O staining area,
decreased expression of MMP13 and enhanced level of ACAN in cartilage (Fig. 7d). Besides, the amount
of iNOS positive cells in synovium treated with MFP9-2/siPGAM5 greatly decreased, while CD206 positive
cells increased compared to DMM group and DMM with injection of MFP9-2/siNC group (Fig. 7e, g),
indicating the availability of macrophage modulation in OA synovium by MFP9-2/siPGAM5. To further
confirm the modulatory function of MFP9-2/siPGAM5, we detected whether the relief of OA symptoms
was the result of PGAM5 inhibition in synovial macrophage by MFP9-2/siPGAM5. We found that
injection of MFP9-2/siPGAM5 greatly decreased the level of PGAM5 in CD68 positive macrophages in
synovium compared to injection of MFP9-2/siNC with FAM (Fig. 7f, g), indicating successful targeting
and inhibiting of PGAM5 in synovial macrophages, which could further achieve better OA outcomes. To conclude, PGAM5 serves as a novel factor of regulating macrophage polarization in osteoarthritis via
dephosphorylating DVL2, resulting in increased activity of GSK3β and degradation of β-catenin,[27] which
disables the translocation of β-catenin into nucleus to bind to promotors for downstream signaling
pathways, further contributes to increased M1 and decreased M2 phenotypes via specific signals. To
better treat OA via early intervention of macrophage PGAM5, specifically inhibition of PGAM5 in
macrophages was achieved by intraarticular injection of MFP9-2/siPGAM5, which could significantly
target synovial macrophages and reduce the expression of PGAM5 in macrophages, resulting in the relief
of OA symptoms. Together, we have clarified the modulatory role of PGAM5 in OA macrophage and
designed a functional macrophage-targeted therapy, which might contribute to early and precise
immunological interventions in OA in clinic. PGAM5 regulated macrophage polarization by targeting the β-catenin pathway via dephosphorylation of
DVL2. To verify the role of β-catenin in PGAM5-mediated macrophage polarization in synovium, we generated
mice in which both PGAM5 and β-catenin were ablated in macrophages, herein referred to as DKO mice,
by crossing β-cateninfl/fl mice with Pgam5 cKO mice. Knee joints of DKO and Pgam5 cKO male mice were
collected 28 days after DMM surgery for further investigations. DKO mice significantly exacerbated OA
symptoms compared to Pgam5 cKO mice, as determined by safranin O staining (Fig. 6f). Expression of
ACAN decreased while expression of MMP13 increased in the knee joint of DKO mice compared to
Pgam5 cKO mice, indicating that the relieved OA symptom by Pgam5 deficiency in macrophages was
partly mediated by the enhanced activity of β-catenin (Fig. 6f). In addition, iNOS-positive cells were
significantly increased and CD206 + cells were significantly decreased in the synovium of DKO mice
compared to Pgam5 cKO mice (Fig. 6f, g), suggesting that PGAM5 regulates synovial macrophage
polarization by inhibiting the β-catenin signaling pathway, further aggravating the progression of OA. Peritoneal macrophages in DKO mice showed increased mRNA levels of iNOS and CD80 and decreased
mRNA levels of CD206 (Fig. 6h). In addition, flow cytometry of peritoneal macrophages also indicated
that DKO mice showed more proinflammatory phenotypes than Pgam5 cKO mice (Fig. 6i). In conclusion,
PGAM5 regulates macrophage polarization by inhibiting the β-catenin signaling pathway, and inhibition
of β-catenin extensively reversed the alleviation of OA symptoms in Pgam5 cKO mice. Targeted knockdown of PGAM5 in synovial macrophages by MFP9-2/siPGAM5 relieved OA
symptoms.Based on the mechanisms of PGAM5 in regulating macrophage polarization, we aimed to
establish targeted deletion of PGAM5 in synovial macrophages to treat OA in early stage. RNA
interference (RNAi) is a powerful technique to treat various diseases via specific gene silence.[25]
However, targeted delivery of siRNA into synovial macrophages is challenging owing to the complicated
synovial fluid composition and extracellular matrix in the joint microenvironment.[26] Here, we developed
a series of mannose modified fluoropolymers for macrophage-targeted siRNA delivery to treat OA via
inhibition of PGAM5. ε-PLL was conjugated with fluoroalkanes (F7-F17, Fig. 7a) via amine-epoxide
reactions, and different feeding ratios were chosen to get PLL modified with average numbers of about
10 and 15 fluoroalkanes, respectively. The obtained fluoropolymers were further grafted with mannose Page 8/26 Page 8/26 via an amine-isocyanate reaction, and an average number of 1 mannose was conjugated on each
polymer calculated by 1H NMR. Discussion Early intervention of OA have been focused to gain better clinical outcomes, which requires for
identification of molecular biomarkers and validation of molecular targets for novel targeted therapies in
the early-stage OA.[28] In the OA pathophysiology, synovial macrophages exhibit distinct functions.[29] Page 9/26 Macrophages showed distinct phenotypes of M1 and M2 macrophages. M1 macrophages are also
termed proinflammatory macrophages, which are activated by LPS produced by microbes or IFN-γ and
characterized by the production of inflammatory cytokines such as IL-1, IL-6, IL-12, TNF-α and iNOS,
which promote the Th1 response.[14, 17, 30] In contrast, M2 macrophages showed anti-inflammatory
functions by promoting the Th2 response and enhanced tissue remodelling. M2 macrophages can be
alternatively activated by IL-4, IL-13, glucocorticoids, IL-10, and immunoglobulin complexes/Toll-like
receptor ligands and are characterized by enhanced expression of multiple cell surface markers, including
mannose receptor Mrc1 (also known as CD206), CD9, and CD36. They also produce various cytokines,
like arginase (Arg), IL-10, IL-1 receptor antagonist (IL-1ra), and the type II IL-1 decoy receptor.[30–32]
Since investigations have shown that synovial macrophage polarization is closely associated with OA,
[33–35] precise therapies for macrophage to decrease synovitis and attenuate OA progression need to be
clearly proposed. In this study, we found that PGAM5 significantly increased in macrophages in OA synovium compared to
controls based on histology of human samples and single-cell RNA sequencing results of mice models. Accordingly, we constructed DMM model in transgenic mice with macrophage-specific deletion of PGAM5
to identify the modulatory role of PGAM5 in synovial macrophages. We observed alleviated OA
symptoms in Pgam5 cKO mice compared to controls due to repolarization of M1 macrophages into M2
macrophages in synovium. Additionally, Pgam5 cKO BMDMs tilted polarization toward M2 macrophages,
which promoted anabolic metabolism of chondrocytes in vitro. To clarify the underlying mechanisms of
macrophage polarization regulated by PGAM5 in OA, we examined macrophage-related signalings in
Pgam5 cKO BMDMs. In previous studies, Akt-mTOR signaling pathway is significantly activated in the
process of M1 polarization by stimulation of LPS and IFNγ, in which Akt activation could lead to the
inactivation of tuberous sclerosis complex (TSC) 1/2, a critical factor for M2 polarization and attenuation
of M1 responses,[31] further activating mTORC1 and increasing the M1 phenotype.[36] Thus, we
examined Akt-mTOR signaling in Pgam5 cKO BMDMs during M1 induction and found that the decreased
M1 response of Pgam5 cKO macrophages was partly due to reduced activation of the Akt-mTOR
signaling pathway. Discussion However, Jin Fan et al. also revealed that the activation of Akt pathway could enhance
M2 macrophage polarization,[37] indicating the different mechanisms of Akt signaling in modulating
macrophage polarization. To clarify the intracellular pathways involved in PGAM5-mediated M1
polarization, we used MHY1485, a specific mTOR agonist,[16] to activate mTOR signaling in Pgam5 cKO
macrophages. As a result, MHY1485 significantly reversed the decreased M1 phenotype of Pgam5 cKO
macrophages in a dose-dependent manner, indicating PGAM5 induced M1 polarization via activating Akt-
mTOR signaling. Furthermore, we detected whether PGAM5 also activated MAPK-related signaling to
modulate M1 polarization, since p38/stat3, ERK/MEK, and JNK signals are proved activated by M1-
correlated stimuli such as LPS, serving as signal transducers to enhance the M1 response.[31, 38–41] We
then proved that PGAM5 deletion in macrophages could inactivate p38 and ERK signaling when treated
with LPS and IFNγ, suggesting that p38/ERK MAPK signaling pathways participated in PGAM5-induced
M1 polarization. Similarly, we revealed that PGAM5 inhibited M2 polarization by STAT6-PPARγ by usage In this study, we found that PGAM5 significantly increased in macrophages in OA synovium compared to
controls based on histology of human samples and single-cell RNA sequencing results of mice models. Accordingly, we constructed DMM model in transgenic mice with macrophage-specific deletion of PGAM5
to identify the modulatory role of PGAM5 in synovial macrophages. We observed alleviated OA
symptoms in Pgam5 cKO mice compared to controls due to repolarization of M1 macrophages into M2
macrophages in synovium. Additionally, Pgam5 cKO BMDMs tilted polarization toward M2 macrophages,
which promoted anabolic metabolism of chondrocytes in vitro. To clarify the underlying mechanisms of
macrophage polarization regulated by PGAM5 in OA, we examined macrophage-related signalings in
Pgam5 cKO BMDMs. In previous studies, Akt-mTOR signaling pathway is significantly activated in the
process of M1 polarization by stimulation of LPS and IFNγ, in which Akt activation could lead to the
inactivation of tuberous sclerosis complex (TSC) 1/2, a critical factor for M2 polarization and attenuation
of M1 responses,[31] further activating mTORC1 and increasing the M1 phenotype.[36] Thus, we
examined Akt-mTOR signaling in Pgam5 cKO BMDMs during M1 induction and found that the decreased
M1 response of Pgam5 cKO macrophages was partly due to reduced activation of the Akt-mTOR
signaling pathway. However, Jin Fan et al. also revealed that the activation of Akt pathway could enhance
M2 macrophage polarization,[37] indicating the different mechanisms of Akt signaling in modulating
macrophage polarization. Discussion Furthermore, Pgam5/catenin DKO mice
showed increased OA symptoms compared to Pgam5 cKO mice, indicating that PGAM5 promoted M1
polarization and inhibited M2 polarization of synovial macrophages by downregulating β-catenin both in
vitro and in vivo. In previous studies, PGAM5 was shown to play a controversial role of modulating β-catenin signaling
pathway. DVL2 serves as a substrate of PGAM5 and could be dephosphorylated by PGAM5 directly on
the mitochondrial membrane due to its phosphatase activity, which activates GSK3β, an antagonist of
the Wnt-β-catenin signaling pathway, by phosphorylating β-catenin on Thr41 and inhibiting its activity,[20,
42, 43] indicating that PGAM5 functions as an inhibitor of the β-catenin signaling pathway. Nevertheless,
some studies also proved that PGAM5 could directly bind to β-catenin and activate the Wnt-β-catenin
signaling pathway.[44, 45] To further verify the association between PGAM5 and β-catenin signaling
during synovial macrophage polarization, we further examined the expression patterns of potential
targets of PGAM5. Our observations showed that the levels of β-catenin and p-DVL2 were enhanced in
Pgam5 cKO macrophages during M1 and M2 induction, suggesting that PGAM5 might directly
dephosphorylate DVL2 to inhibit the β-catenin pathway in macrophages. Next, co-IP of PGAM5 and DVL2
indicated that PGAM5 directly binds to DVL2 and leads to inhibition of the β-catenin pathway. Motivated by these findings, we aimed to deliver siRNA targeting PGAM5 in synovial macrophages to
treat OA. Few studies have achieved macrophage-targeted delivery of siRNA in OA synovium, since siRNA
is a large hydrophilic molecule which is difficult to penetrate across the semipermeable cell membrane,
resulting in the low efficacy of intracellular delivery. [46] Besides, the negatively charged siRNA could be
easily degraded in the cytoplasm leading to short residence of siRNA.[46] Accordingly, we constructed
mannose modified fluoropolymers combined with siPGAM5 and treated mice via intraarticular injection. The fluoropolymers modified by perfluorinated lipids(PFL) have excellent advances in gene delivery,[47]
since the strong hydrophobicity of fluoropolymers ensures efficient cell membrane penetration and
endosomal escape of siRNA, and cationic polymers by fluorination protect nucleic acids from enzyme
degradation. As a result, we detected stable residency of FAM-modified siPGAM5 in synovial
macrophages up to a week. Discussion To clarify the intracellular pathways involved in PGAM5-mediated M1
polarization, we used MHY1485, a specific mTOR agonist,[16] to activate mTOR signaling in Pgam5 cKO
macrophages. As a result, MHY1485 significantly reversed the decreased M1 phenotype of Pgam5 cKO
macrophages in a dose-dependent manner, indicating PGAM5 induced M1 polarization via activating Akt-
mTOR signaling. Furthermore, we detected whether PGAM5 also activated MAPK-related signaling to
modulate M1 polarization, since p38/stat3, ERK/MEK, and JNK signals are proved activated by M1-
correlated stimuli such as LPS, serving as signal transducers to enhance the M1 response.[31, 38–41] We
then proved that PGAM5 deletion in macrophages could inactivate p38 and ERK signaling when treated
with LPS and IFNγ, suggesting that p38/ERK MAPK signaling pathways participated in PGAM5-induced
M1 polarization. Similarly, we revealed that PGAM5 inhibited M2 polarization by STAT6-PPARγ by usage Page 10/26 of STAT6 inhibitor (AS1517499) and PPARγ inhibitor (T0070907). These results verified that PGAM5 is a
critical regulator of macrophage polarization. In previous studies, PGAM5 was shown to play a controversial role of modulating β-catenin signaling
pathway. DVL2 serves as a substrate of PGAM5 and could be dephosphorylated by PGAM5 directly on
the mitochondrial membrane due to its phosphatase activity, which activates GSK3β, an antagonist of
the Wnt-β-catenin signaling pathway, by phosphorylating β-catenin on Thr41 and inhibiting its activity,[20,
42, 43] indicating that PGAM5 functions as an inhibitor of the β-catenin signaling pathway. Nevertheless,
some studies also proved that PGAM5 could directly bind to β-catenin and activate the Wnt-β-catenin
signaling pathway.[44, 45] To further verify the association between PGAM5 and β-catenin signaling
during synovial macrophage polarization, we further examined the expression patterns of potential
targets of PGAM5. Our observations showed that the levels of β-catenin and p-DVL2 were enhanced in
Pgam5 cKO macrophages during M1 and M2 induction, suggesting that PGAM5 might directly
dephosphorylate DVL2 to inhibit the β-catenin pathway in macrophages. Next, co-IP of PGAM5 and DVL2
indicated that PGAM5 directly binds to DVL2 and leads to inhibition of the β-catenin pathway. Accordingly, inhibition of the β-catenin pathway by ICG-001, a specific inhibitor of the β-catenin pathway,
[24] significantly enhanced the M1 phenotype by activating the p38/ERK signaling pathway and reduced
the M2 response by inhibiting the STAT6-PPARγ pathway in vitro. Animals Myeloid cell-specific PGAM5 conditional knockout mice (Pgam5 cKO mice) were obtained by crossing
PGAM5loxp/loxp mice with mice expressing Cre recombinase under the control of the Lysozyme
promoter (Lyz2). Myeloid cell-specific PGAM5 and β-catenin conditional knockout mice (DKO mice) were
obtained by crossing β-cateninloxp/loxp mice with Pgam5 cKO mice. Lyz2Cre-negative, PGAM5loxp/loxp
and β-cateninloxp/loxp littermates served as the controls. Eight-week-old mice (male) were usually used
for the in vitro experiments. PGAM5loxp/loxp and Lyz2Cre mice were generous gifts from Prof. Wei Lu.[8]
β-cateninloxp/loxp mice were kindly provided by Prof. Xuefeng Wu.[49] All mice were maintained in a
specific pathogen-free facility. All experimental manipulations were undertaken in accordance with the
Institutional Guidelines for the Care and Use of Laboratory Animals, Institute of Zoology (Shanghai,
China). Human synovium Normal human synovium was obtained from bone fracture patients with no history of arthritic diseases
(n = 3). Human OA synovium was obtained from patients undergoing total knee replacement surgery (n =
5). Human samples were obtained from Shanghai Xinhua Hospital and Shanghai Dongfang Hospital. All
patients gave informed consent to use their clinical information for scientific research. The study was
approved by the Ethics Committee of the Shanghai Xinhua Hospital and Shanghai Dongfang Hospital. Discussion Furthermore, fluoropolymers could be easily modified by mannose for
targeting synovial macrophages, owing to the widely expressed mannose receptors on the surface of
macrophages.[48] Amazingly, we found that nearly a hundred percent of synovial macrophages were
targeted and PGAM5 in macrophages was inhibited via the intraarticular injection of siPGAM5 NPs,
leading to repolarization of M1 macrophages into M2 macrophages which greatly alleviated OA. What’s
more, the cytotoxicity of fluoropolymers is less than other cationic polymers due to less nitrogen to
phosphorus ratio,[46] which is a promising therapeutic for targeting synovial macrophages in clinical
intervention. Page 11/26 In summary, we demonstrated that PGAM5 directly interacted with DVL2 to modulate the β-catenin
pathway, further amplifying the M1 response via the Akt-mTOR, p38, and ERK signaling and inhibiting M2
polarization mediated by downregulating the STAT6-PPARγ pathway. Accordingly, targeted knockdown of
PGAM5 in macrophages by macrophage-targeted siPGAM5 NPs greatly relieved OA symptoms in mice. The critical function of PGAM5 in OA might provide novel clinical targets and the related macrophage-
targeted therapy will offer new therapeutic strategies of precise immunomodulation in OA for better
outcomes. Reagents Anti-mCD86-PE/Cy5 and anti-mCD206-FITC were purchased from Cell Signaling Technology. Bacterial
lipopolysaccharide (LPS; E. coli 055: B5) was purchased from Sigma‒Aldrich. Recombinant mouse IL-4
and IFN-γ were purchased from PeproTech (Rocky Hill, NJ). An agonist of mTOR (MHY1985), inhibitor of
PPARγ (T0070907) and inhibitor of STAT6 (AS1517499) were purchased from Selleck. Primary
antibodies against ERK, p-ERK1/2 (Thr202/Tyr204), p-JNK (Thr183/Tyr185), P38, p-p38 (Thr180/Tyr182),
Akt, p-Akt (Thr308), p-Akt (Ser473), STAT6, p-STAT6 (Tyr641), p-β-catenin (Ser675, Thr41/Ser45) and β-
tubulin were purchased from Cell Signaling Technology. Primary antibodies against PGAM5, PPARγ,
MMP13, β-catenin, DVL2 and p-DVL2 (S143, T224) were purchased from ABclonal. ACAN antibody was
purchased from ABclonal (A11691; Wuhan, China). All of these antibodies were diluted at 1:1,000 in 5% Page 12/26 Page 12/26 bovine serum albumin (BSA). ELISA was performed using the Mouse IL-12p70 ELISA Kit (EK212/3–96,
Lianke), IL-6 Mouse Uncoated ELISA Kit (88-7064-88, Thermo Fisher), and Mouse IL-1 beta Uncoated
ELISA (88-7013-88, Thermo Fisher). Cell preparation Bone marrow cells were cultured with Dulbecco's modified Eagle medium (DMEM) containing 10% (v/v)
FBS and 10 ng ml − 1 mouse M-CSF or 10 ng ml − 1 mouse GM-CSF for 12 days to obtain bone marrow-
derived macrophages. The nonadherent cells were removed by washing with PBS. The inflammatory
response of macrophages was induced by LPS (100 ng ml − 1) for 24 h. M2 macrophages were induced
by IL-4 (1,000 U ml − 1) treatment for 24 h. Quantitative PCR analysis Total RNA was extracted by transfer to TRIzol reagent (Invitrogen, Waltham, MA) from 6-well plates and
then homogenized at high speed on ice. DNase I (Sigma‒Aldrich, St. Louis, MO) was added to the
extracted mRNA to remove genomic DNA. The quantification of mRNA was performed and calculated
using a Nanodrop 2000 (Thermo Fisher Scientific). mRNA was reversely transcribed into complementary
DNA (cDNA) in each experimental and control group using the PrimeScript RT Master Mix Kit (Takara Bio
Inc., Dalian, China). Then, cDNA was tested by PCR via the SYBR Premix Ex Taq Kit (RR420a; Takara,
Tokyo, Japan). To normalize the mRNA expression, the level of the housekeeping gene GAPDH served as
a control. Quantitative PCR (qPCR) primers for the genes and forwards (F) and reverse (R) primer
sequences were as follows: Immunohistochemistry and pathological staining ACAN, MMP13, β-catenin, iNOS and CD206 in pathological sections were examined by
immunohistochemistry. Paraffin sections of joints were dewaxed, rehydrated, pretreated with pepsin at
37°C for 30 minutes, and then incubated with 3% H2O2 in methanol solution. After rinsing with PBS, the
slices were blocked with BSA at room temperature for 1 hour and then incubated overnight with primary
antibodies at 4°C. Then, the slices were incubated with the secondary antibody provided in the HRP
polymer anti-rabbit IHC kit (Kit 5005; MaxVision, Shenzhen, China) for 15 minutes and stained with
substrate from the DAB Plus kit (DAB-2031) for 10 minutes. Histological images of the knee joint were
obtained after staining with safranine O and fast green. We performed immunofluorescence using a
multicoloured immunofluorescence kit (abs50012, absin) and observed the cells using a microscope
from Zeiss. Page 13/26
hPGAM5-F: TCGTCCATTCGTCTATGACGC
hPGAM5-R: GGCTTCCAATGAGACACGG
hGAPDH-F: GGAGCGAGATCCCTCCAAAAT
hGAPDH-R: GGCTGTTGTCATACTTCTCATGG
mCOL2A1-F: ACGAGGCAGACAGTACCTTG
mCOL2A1-R: CAGCCCTGGTTGGGATCAAT
mMMP13-F: TTGGCTTAGAGGTGACTGGC
mMMP13-R: CCACATCAGGCACTCCACAT
mSOX9-F: TCAGCAAGACTCTGGGCAAG
mSOX9-R: TCCGTTCTTCACCGACTTCC
mMMP3-F: CCACTCCCTGGGACTCTAC hPGAM5-F: TCGTCCATTCGTCTATGACGC
hPGAM5-R: GGCTTCCAATGAGACACGG
hGAPDH-F: GGAGCGAGATCCCTCCAAAAT
hGAPDH-R: GGCTGTTGTCATACTTCTCATGG
mCOL2A1-F: ACGAGGCAGACAGTACCTTG
mCOL2A1-R: CAGCCCTGGTTGGGATCAAT
mMMP13-F: TTGGCTTAGAGGTGACTGGC
mMMP13-R: CCACATCAGGCACTCCACAT
mSOX9-F: TCAGCAAGACTCTGGGCAAG
mSOX9-R: TCCGTTCTTCACCGACTTCC
mMMP3-F: CCACTCCCTGGGACTCTAC Page 13/26 mMMP3-R: TGAGAGAGATGGAAACGGGAC
mPGAM5-F: CCCTGCAAGAAGACTGTGGT
mPGAM5-R: GTCAGCGGGGGCTAAATCTT
mGAPDH-F: TGACCTCAACTACATGGTCTACA
mGAPDH-R: CTTCCCATTCTCGGCCTTG
mCD80-F: TCAGTTGATGCAGGATACACCA
mCD80-R: AAAGACGAATCAGCAGCACAA
mIL1β-F: GCAACTGTTCCTGAACTCAACT
mIL1β-R: ATCTTTTGGGGTCCGTCAACT
mTNF-F: CCCTCACACTCAGATCATCTTCT
mTNF-R: GCTACGACGTGGGCTACAG
mIL10-F: CTTACTGACTGGCATGAGGATCA
mIL10-R: GCAGCTCTAGGAGCATGTGG
mIL4-F: GGTCTCAACCCCCAGCTAGT
mIL4-R: GCCGATGATCTCTCTCAAGTGAT
mIL6-F: CTGCAAGAGACTTCCATCCAG
mIL6-R: AGTGGTATAGACAGGTCTGTTGG
mIL1A-F: AGTATCAGCAACGTCAAGCAA
mIL1A-R: TCCAGATCATGGGTTATGGACTG
mIl1b-F: GAAATGCCACCTTTTGACAGTG
mIl1b-R: TGGATGCTCTCATCAGGACAG
mIL12-F: TGGTTTGCCATCGTTTTGCTG
mIL12-R: ACAGGTGAGGTTCACTGTTTCT
mPPARγ-F: GGAAGACCACTCGCATTCCTT Page 14/26 Page 14/26 Synthesis of mannose modified fluoropolymers. ε-PLL (Mw: 4224 Da) was mixed with epoxides bearing fluoroalkanes at different molar ratios in
anhydrous methanol, and stirred at 60 oC for 48 h. The crude products were dialyzed against methanol
and distilled water, then lyophilized to obtain the fluoropolymers. The average number of fluoroalkanes
modified on each polymer was tested by a well-established ninhydrin assay[50] (Supplementary Figure
S1). The obtained fluoropolymers were further reacted with d-mannopyranosylphenyl isothiocyanate in
dimethylsulfoxide at a molar ratio of 1:1 at room temperature for 24 h, then lyophilized to obtain the
mannose modified fluoropolymers. The average number of mannoses modified on each polymer was
characterized and calculated by 1H-NMR (Bruker, 500 MHz). Western blot assay and coimmunoprecipitation Macrophages were cultured in DMEM with 10% FCS in 6-well plates. Cells were treated with IL-4 (100 nM)
or LPS (100 ng ml − 1) for the indicated times. After stimulation, cells were washed once in cold PBS and
lysed in RIPA buffer (50 mM Tris–HCl pH 7.4, 1% NP-40, 0.25% Na-deoxycholate, 150 mM NaCl, 1 mM
EDTA pH 7.4) with protease and phosphatase inhibitor cocktails (Sigma) for 10 min on a rocker at 4°C. Protein concentration was determined using a BCA assay. Protein samples were analysed by SDS
polyacrylamide gel electrophoresis (SDS–PAGE) and transferred onto PVDF membranes (Millipore,
CA)60. Each polyvinylidene fluoride membrane was blocked with TBST (100 mM Tris–HCl pH 7.5, 150
mM NaCl, 0.05% Tween 20) with 5% BSA for 1 h and then incubated with primary antibodies overnight on
a shaker at 4°C. The appropriate HRP-coupled secondary antibody was then added and detected through
chemiluminescence (Millipore). GAPDH and β-tubulin were used as protein loading controls. Coimmunoprecipitation was performed with indicated antibodies and G/A beads following information
of co-IP kit (absin, abs955.) Coimmunoprecipitation was performed with indicated antibodies and G/A beads following information
of co-IP kit (absin, abs955.) Flow cytometry Flow cytometry Page 15/26 Primary BMDMs were induced under specific conditions and labeled with the following antibodies for
identification of M1 or M2 macrophages: PE/Cyanine7 anti-mouse F4/80 Antibody (Biolegend, 123113)
PE/Cyanine5 anti-mouse CD86 Antibody (Biolegend, 105015), FITC anti-mouse CD206 (MMR) Antibody
(Biolegend, 141703). Related isotypes for control are PE/Cyanine7 Rat IgG2a, κ Isotype Ctrl Antibody
(Biolegend, 400521), PE/Cyanine5 Rat IgG2a, κ Isotype Ctrl Antibody (Biolegend, 400509), FITC Rat
IgG2a, κ Isotype Ctrl Antibody (Biolegend, 400505). Cells were suspended and incubated with antibodies
for 30 minutes, and analyzed via Guava Easycyte 12HT (Luminex). Primary BMDMs were induced under specific conditions and labeled with the following antibodies for
identification of M1 or M2 macrophages: PE/Cyanine7 anti-mouse F4/80 Antibody (Biolegend, 123113)
PE/Cyanine5 anti-mouse CD86 Antibody (Biolegend, 105015), FITC anti-mouse CD206 (MMR) Antibody
(Biolegend, 141703). Related isotypes for control are PE/Cyanine7 Rat IgG2a, κ Isotype Ctrl Antibody
(Biolegend, 400521), PE/Cyanine5 Rat IgG2a, κ Isotype Ctrl Antibody (Biolegend, 400509), FITC Rat
IgG2a, κ Isotype Ctrl Antibody (Biolegend, 400505). Cells were suspended and incubated with antibodies
for 30 minutes, and analyzed via Guava Easycyte 12HT (Luminex). siRNAs siRNAs targeting mouse PGAM5 with FAM labeled were purchased from Sangon Biotech. Scrambled
siRNA with FAM labeled was used as a control. Raw264.7 cells were transfected with siRNA using
Lipofectamine 2000 (Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA) in serum-free conditional
medium for examination. Sequence of siRNA targeting PGAM5 is: sense(5'-3’):
(FAM)CUGGAGAAGACGAGUUGACAUTT, antisense (5'-3’): AUGUCAACUCGUCUUCUCCAGTT. Experiments
were repeated for at least three times independently. (
)
(FAM)CUGGAGAAGACGAGUUGACAUTT, antisense (5'-3’): AUGUCAACUCGUCUUCUCCAGTT. Experiments
were repeated for at least three times independently. Statistical analysis All data are presented as the mean ± s.d. Two-way ANOVA was used for comparisons among multiple
groups with SPSS 16.0 software. Student's unpaired t test for comparison of means was used to
compare two groups. Log-rank tests were used for mouse survival assays. A P value less than 0.05 was
considered to be statistically significant. Data availability All data needed to evaluate the conclusions in the paper are present in the paper and/or the
Supplementary Materials. Data will be made available upon reasonable request. All data needed to evaluate the conclusions in the paper are present in the paper and/or the All data needed to evaluate the conclusions in the paper are present in the paper and/or the
Supplementary Materials. Data will be made available upon reasonable request. Conflict of interests The authors declare no competing interests. Author contributions Y.L., J.L., Y.C., W.L., and X.Z. designed research; Y.L., R.H., J.L., J.Y., X.W., D.M., C.R., Z.D., B.Z., and
L.D.performed research; Y.L., J.L., Y.C., W.L., X.Z. analyzed data; and Y.L., J.L., W.L. and X.Z. drafted the
manuscript. Acknowledgements This work was supported by grants from National Natural Science Foundation of China (81830078,
82071868, 32370892), Science and Technology Commission of Shanghai Municipality (23141901200),
Health Commission of Shanghai Municipality (2022JC029), Biomaterials and Regenerative Medicine Page 16/26 Institute Cooperative Research Project, Shanghai Jiaotong University School of Medicine (2022LHA11)
and Shanghai Key Laboratory of Orthopedic Implant(No.KFKT202206). Institute Cooperative Research Project, Shanghai Jiaotong University School of Medicine (2022LHA11)
and Shanghai Key Laboratory of Orthopedic Implant(No.KFKT202206). Institute Cooperative Research Project, Shanghai Jiaotong University School of Medicine (2022LHA11)
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RNF122: A novel ubiquitin ligase associated with calcium-modulating cyclophilin ligand
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RESEARCH ARTICLE Open Access © 2010 Peng 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. Abstract Background: RNF122 is a recently discovered RING finger protein that is associated with HEK293T cell viability and is
overexpressed in anaplastic thyroid cancer cells. RNF122 owns a RING finger domain in C terminus and transmembrane
domain in N terminus. However, the biological mechanism underlying RNF122 action remains unknown. Results: In this study, we characterized RNF122 both biochemically and intracellularly in order to gain an
understanding of its biological role. RNF122 was identified as a new ubiquitin ligase that can ubiquitinate itself and
undergoes degradation in a RING finger-dependent manner. From a yeast two-hybrid screen, we identified calcium-
modulating cyclophilin ligand (CAML) as an RNF122-interacting protein. To examine the interaction between CAML
and RNF122, we performed co-immunoprecipitation and colocalization experiments using intact cells. What is more,
we found that CAML is not a substrate of ubiquitin ligase RNF122, but that, instead, it stabilizes RNF122. Conclusions: RNF122 can be characterized as a C3H2C3-type RING finger-containing E3 ubiquitin ligase localized to
the ER. RNF122 promotes its own degradation in a RING finger-and proteasome-dependent manner. RNF122 interacts
with CAML, and its E3 ubiquitin ligase activity was noted to be dependent on the RING finger domain. RING finger proteins contain a RING finger domain,
which was first identified as being encoded by the Really
Interesting New Gene in the early 1990 s [5]. The RING
finger domain contains 8 metal-binding residues that
coordinate 2 zinc atoms in an interleaved pattern to facil-
itate correct folding, which is necessary for the biological
actions of these proteins. Many RING finger proteins
have been identified as ubiquitin ligases and are known to
play an important role in various physiological processes. For example, MDM2, a representative RING finger pro-
tein, is a ubiquitin ligase of p53 [6]. Further, Cbl is known
to play an important role in the ligand-induced ubiquit-
ination of epidermal growth factor receptor (EGFR) via a
mechanism that involves interaction between the RING
finger domain and UbcH7 [7]. The tumor necrosis factor
(TNF) receptor associated factors (TRAFs) contain a
RING finger domain at the N-terminal region; TNFs play
an important role in both adaptive and innate immunity
[8]. However, there are still hundreds of RING finger pro-
teins whose functions have yet to be characterized. Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 Peng et al. BMC Cell Biology 2010, 11:41 http://www.biomedcentral.com/1471-2121/11/41 Research article
RNF122: A novel ubiquitin ligase associated with
calcium-modulating cyclophilin ligand Zhi Peng1,4, Taiping Shi*1,2,3 and Dalong Ma1,2,3 * Correspondence: taiping_shi@yahoo.com.cn
1 Chinese National Human Genome Center, #3-707 North YongChang Road
BDA, Beijing 100176, PR China
Full list of author information is available at the end of the article Background The ubiquitin-proteasome system is involved in protein
degradation and many biological processes such as tran-
scription, cell cycle progression, antigen processing, cel-
lular defense, signaling, and apoptosis [1,2]. In the
ubiquitin-proteasome pathway, a ubiquitin-activating
enzyme (E1) activates ubiquitin (Ub) by attaching it to a
substrate via a thiol-ester linkage and then transferring
the complex formed to the active-site cysteine of a ubiq-
uitin carrier protein (E2). Formation of isopeptide bonds
between the C terminus of Ub and the lysines on the sub-
strate is catalyzed by a ubiquitin ligase (E3), which binds
the substrate and catalyzes the transfer of Ub from a spe-
cific E2 to the substrate. The formation of a chain of Ub
molecules on the substrate generally targets it for degra-
dation by the 26 S proteasome [3]. Comparative genome
analysis has revealed the presence of a few genes encod-
ing E1, others encoding E2, and hundreds encoding E3
ligases [4]. A cell-based screening performed in our laboratory
revealed that the RNF122 gene is associated with cell via-
bility [9]. RNF122 is expressed in several normal tissues
and in tumor tissues and cell lines; RNF122 has been Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 Page 2 of 9 Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 RING finger that catalyses its own degradation in a pro-
teasome-dependent manner. localized to the endoplasmic reticulum (ER) and the
Golgi apparatus [10]. Comparative genomic hybridiza-
tion (CGH) has revealed that RNF122 is overexpressed in
anaplastic thyroid cancer cells [11]. However, RNF122
expression is not invariably detected in mammalian and
Escherichia coli cells. The presence of the RING finger
domain in RNF122 implies that RNF122 may be involved
in the ubiquitylation pathway; however, to date, there has
been no study that has sought to biochemically character-
ize of RNF122. Moreover, the mechanism of apoptosis
induction mediated by RNF122 remains unclear. Given
the importance of the biological functions of the RING
finger proteins and the overexpression of RNF122 in ana-
plastic thyroid cancer cells, a functional characterization
of this gene is highly warranted. The present study pro-
vides evidence that RNF122 is a new uncharacterized
ubiquitin ligase. Further, we demonstrate that RNF122
interacts with CAML. We constructed a full-length GST-RNF122 fusion pro-
tein, but we were unable to demonstrate successful
expression of this protein in bacteria (data not shown),
which is consistent with the results obtained by Yu [11]. Background The transmembrane sites, usually represented by a
hydrophobic sequence, are not expressed in E. coli. Hence, we constructed two truncated mutants of GST-
RNF122,
namely,
GST-RNF122ΔTM
and
GST-
mutRNF122ΔTM, in which the transmembrane (TM)
domain was deleted. As illustrated in Figure 1C, the
expression of both GST-RNF122ΔTM and GST-
mutRNF122ΔTM was inducible. These proteins were
purified successfully by affinity chromatography and con-
firmed by western blotting using an anti-GST antibody. In vivo and in vitro ubiquitination of RNF122 q
To further examine the ubiquitination of RNF122, we
performed in vivo ubiquitination studies. We coex-
pressed RNF122-myc with HA-ubiquitin in HEK293T
cells, recovered the immunoprecipitates using anti-myc
antibody, and performed immunoblotting using the anti-
HA antibody. As shown in Figure 2A, a smeared band,
which indicates ubiquitination, appeared in the blots of
lysates of cells cotransfected with RNF122-myc and HA-
ubiquitin, but this was not detected in the vector control
group. Hence, we confirmed that RNF122 undergoes
ubiquitination in vivo. Further, we performed the same
experiment using an RNF122 mutated in the RING finger
domain and found that this mutant (RNF122C92A-myc)
was also ubiquitylated in vivo, as evident from the high-
molecular-weight smeared band detected on blots of the
lysates of the cells coexpressing RNF122C92A-myc and
ubiquitin (Figure 2A). However, the degree of ubiquitina-
tion of this mutant protein was significantly lower than
that of RNF122-myc; a finding that is consistent with the
proteasome degradation of the wild-type and mutant
RNF122. Characterization of RNF122 expression in mammalian cells
and E. coli BMC Cell Biology 2010, 11:41 Peng et al. BMC Cell Biology 2010, 11:41
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http://www.biomedcentral.com/1471-2121/11/41 Figure 1 Characterization of RNF122 expression in mammalian and E. coli cells. (A). HEK293T and HeLa cells were transiently transfected with
RNF122-myc. At 24 h post-transfection, the cells were treated with 2.5 μg/mL MG132 or 50 μg/mL tunicamycin and harvested at the indicated time. The cell lysates were subjected to SDS-PAGE and analyzed by western blotting using anti-myc and anti-β-actin antibodies. (B). HEK293T cells were
transiently transfected with RNF122-myc or with RNF122C92A-myc or RNF122C95A-myc mutants. At 24 h post-transfection, the cells were treated
with 50 μg/mL MG132, harvested after 6 h, and then analyzed by western blotting. (C). GST-RNF122ΔTM or GST-RNF122-ΔTM mutant proteins were
expressed in E. coli and purified by affinity chromatography. The proteins were verified by SDS-PAGE and western blotting using an anti-GST primary
antibody. a: pre-induction; b: post-induction; c: effluent obtained after affinity chromatography; d: purified protein. Figure 1 Characterization of RNF122 expression in mammalian and E. coli cells. (A). HEK293T and HeLa cells were transiently transfected with
RNF122-myc. At 24 h post-transfection, the cells were treated with 2.5 μg/mL MG132 or 50 μg/mL tunicamycin and harvested at the indicated time. The cell lysates were subjected to SDS-PAGE and analyzed by western blotting using anti-myc and anti-β-actin antibodies. (B). HEK293T cells were
transiently transfected with RNF122-myc or with RNF122C92A-myc or RNF122C95A-myc mutants. At 24 h post-transfection, the cells were treated
with 50 μg/mL MG132, harvested after 6 h, and then analyzed by western blotting. (C). GST-RNF122ΔTM or GST-RNF122-ΔTM mutant proteins were
expressed in E. coli and purified by affinity chromatography. The proteins were verified by SDS-PAGE and western blotting using an anti-GST primary
antibody. a: pre-induction; b: post-induction; c: effluent obtained after affinity chromatography; d: purified protein. results also suggested that CAML interacts with RNF122
through the RING finger domain. Hence, the RING fin-
ger protein functions as a ubiquitin ligase that ubiquitiny-
lates the substrate and targets it to the ubiquitin
proteasome system. We accordingly performed experi-
ments to determine whether CAML is a substrate of
RNF122 and whether it can be degraded by the ubiquitin
proteasome system. As shown in Figure 3B, however,
CAML levels in MG132-treated cells were not elevated,
suggesting that CAML may not be involved in the protea-
some-dependent degradation pathway. Characterization of RNF122 expression in mammalian cells
and E. coli Furthermore,
CAML protein levels remained unchanged even when
CAML-FLAG and RNF122-myc or mutant RNF122 were
coexpressed (Figure 3C). Overall, we conclude that
CAML interacts with RNF122 but is not a substrate for
its ubiquitylating activity. Interestingly, RNF122 expres-
sion was occasionally detected in cells that overexpressed
CAML. As illustrated in Figure 3D, RNF122 was stabi-
lized when CAML was overexpressed. Hence, it can be
speculated that the interaction between CAML and
RNF122 inhibits the ubiquitination of RNF122, and
thereby stabilizes RNF122. assay using RNF122 containing a single-site mutations
(Cys92Ala)
in
the
RING
finger
domain
(GST-
RNF122C92A-ΔTM). As shown in Figure 2C, the muta-
tion compromised the autoubiquitylation activity of
UbcH5a, UbcH5b, UbcH5c, Ubc6, and Ubc13. These
results demonstrate that RNF122 is an E3 ligase that is
selective for UbcH5a, UbcH5b, UbcH5c, Ubc6, and
Ubc13. assay using RNF122 containing a single-site mutations
(Cys92Ala)
in
the
RING
finger
domain
(GST-
RNF122C92A-ΔTM). As shown in Figure 2C, the muta-
tion compromised the autoubiquitylation activity of
UbcH5a, UbcH5b, UbcH5c, Ubc6, and Ubc13. These
results demonstrate that RNF122 is an E3 ligase that is
selective for UbcH5a, UbcH5b, UbcH5c, Ubc6, and
Ubc13. Characterization of RNF122 expression in mammalian cells
and E. coli Characterization of RNF122 expression in mammalian cells
and E. coli Yu found that epitope-tagged RNF122 was not success-
fully expressed in mammalian and bacterial cells [11]. In
the present study, we performed similar experiments and
obtained the same results. However, northern blotting,
RT-PCR, and subcellular localization studies have dem-
onstrated the existence of RNF122 [10]. Many RING fin-
ger proteins are ubiquitin ligases that ubiquitinate
themselves to facilitate their degradation by the ubiquitin
proteasome. We accordingly examined the expression of
RNF122 in HeLa and HEK293T cells after treatment with
one of the ubiquitin proteasome inhibitors, namely,
MG132. As illustrated in Figure 1A, RNF122 was
detected in the MG132-treated cells. This result demon-
strates that RNF122 is a substrate of the ubiquitin protea-
some system. To verify the importance of the RING
finger domain in the stability of RNF122, a mutant
RNF122 gene was constructed using PCR-based muta-
genesis and transfected into HEK293T cells. Subse-
quently, the total protein was extracted and analyzed by
western blotting. The mutant RNF122 was detected in
cells not treated with MG132; further, its expression was
not significantly affected by MG132 treatment (Figure
1B). These results suggest that the RING finger domain is
critical for the degradation of RNF122. Figure 1A and 1B
shows 2 bands of approximately 18 kD and 26 kD, indi-
cating that RNF122 may be glycosylated; this result is
consistent with the fact that the RNF122 sequence con-
tains some potential N-linked glycosylation sites (NxT/S). Moreover, treatment of the cells with tunicamycin, which
inhibits N-linked glycosylation, caused a shift in the pro-
tein bands (Figure 1A). These results indicate that
RNF122 is an N-linked glycosylated protein containing a The presence of the RING finger domain in RNF122
confers the properties of a ubiquitin ligase to this protein. To investigate whether RNF122 has ubiquitin ligase activ-
ity, we established an in vitro autoubiquitination assay,
which was performed according to the manufacturer's
instructions. Briefly, E1, E2, and bacterially expressed
GST-RNF122ΔTM were added to a reaction mixture
containing ubiquitin and ATP. We treated the RNF122
fusion proteins with different E2 enzymes to determine
which E2 supports RNF122-mediated ubiquitination. As
is evident from Figure 2B, polyubiquitination was
detected only in cells treated with the following E2-conju-
gating enzymes: UbcH5a, UbcH5b, UbcH5c, Ubc6, and
Ubc13. To clarify the role of the RING finger domain in
ubiquitination, we performed an auto ubiquitination Peng et al. RNF122 interacts with CAML Next, the yeast two-hybrid system was used to identify
the potential substrates of RNF122. The experiments
were performed by Ruixing Corp. (Shanghai, China). The
results revealed that RNF122 interacts with CAML, a
protein associated with calcium signaling and T cell acti-
vation. To confirm the interaction between RNF122 and
CAML, we co-expressed these proteins in HEK293T cells
and immunoprecipitated RNF122-myc with the anti-myc
antibody. Western blot analysis of the immunoprecipitate
obtained using the anti-FLAG antibody revealed that
RNF122 but not its mutant form was coprecipitated with
FLAG-tagged CAML (CAML-FLAG), demonstrating
their association in mammalian cells (Figure 3A). The Page 4 of 9 Peng et al. BMC Cell Biology 2010, 11:41 Peng et al. BMC Cell Biology 2010, 11:41
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http://www.biomedcentral.com/1471-2121/11/41 Figure 2 In vivo and in vitro ubiquitylation of RNF122. (A) HEK293T cells were seeded into 60-mm plates and transfected with 5 μg of Ub-HA and
5 μg of pcDB (empty) or wild-type or mutant RNF122-myc expression plasmid. At 48 h post-transfection, cell lysates in RIPA buffer were immunopre-
cipitated with anti-myc antibody agarose beads. The immunoprecipitates were analyzed on an immunoblot for HA. A smeared band was observed
in the RNF122-myc group. (B) E2-selective ubiquitin ligase activity of RNF122. Bacterially expressed GST-RNF122ΔTM was incubated with ubiquitin, E1,
and various E2 enzymes. Autoubiquitylation of RNF122 was detected by HRP-streptavidin immunoblotting. (C) RNF122 E3 ligase activity required an
intact RING finger domain. The reactions were performed using ubiquitin, E1, E2 (UbcH5b or UbcH5c), and E3 (GST-RNF122ΔTM, or mutant GST-
RNF122ΔTM), as indicated. Colocalization of RNF122 and CAML in HEK293T and HeLa
cells
In order to confirm the intracellular interaction between
RNF122 and CAML, we constructed a plasmid, namely,
pEGFP-N1-RNF122, encoding green fluorescent protein,
and a CAML-FLAG-encoding plasmid and cotransfected
these into HeLa cells or HEK293T cells. As shown in Fig- Colocalization of RNF122 and CAML in HEK293T and HeLa
cells Colocalization of RNF122 and CAML in HEK293T and HeLa
cells HEK293T cells were seeded into 60-mm plates
and transfected with pcDB (empty), RNF122-myc or mut-RNF122-myc vectors in conjunction with CAML-FLAG. After 48 h, the cells were treated with
2.5 μg/mL MG132 for 6 h, lysed in PBS containing 1% Triton X-100, and immunoprecipitated with anti-myc antibody agarose beads. (B) CAML is not
involved in the proteasome-dependent degradation pathway. HEK293T cells were treated with 2.5 μM MG132 or vehicle (DMSO) for 6 h. The cells
were then harvested and the expression of CAML was analyzed by western blotting using an anti-CAML antibody. The membrane was subsequently
reprobed with an anti-β-actin antibody. (C) HEK293T cells were transiently cotransfected with CAML-FLAG and pcDB, RNF122-myc, RNF122C92A-myc,
or RNF122C95A-myc. At 24 h post-transfection, the cells were treated with 50 μg/mL CHX and harvested at the indicated times. The cell lysates were
subjected to SDS-PAGE and analyzed by western blotting by using antisera against FLAG and β-actin. (D) The level of RNF122 was found to increase
in a proteasome-independent manner when it was coexpressed with CAML. HEK293T cells were transfected with empty (pcDB) or CAML expression
vector along with RNF122-myc, and subsequently treated with 2.5 μg/mL MG132 or DMSO at 24 h post-transfection. After 24 h, the cell lysates were
suspended in PBS containing 1% Triton X-100 and a protease inhibitor cocktail, and then immunoblotted with an anti-myc antibody. ous finding that RNF122 is localized to the ER. These
data confirmed that RNF122 and CAML interact to form
a complex that is functional in the cytoplasm. teins destined for proteasome-dependent degradation,
although there have been no reports confirming their E3
activities toward these proteins. In our previous study, we performed northern blotting
and RT-PCR analysis, and confirmed that RNF122 is
widely expressed in several tissues and cell lines and that
it is localized to the ER and the Golgi apparatus. A cell-
based screening test revealed that RNF122 can downreg-
ulate the expression of the prolactin (PRL) gene. Further
studies showed that RNF122 was associated with the via-
bility of HEK293T cells. However, the exact biological
function of RNF122 is still unknown. In the present study,
we characterized the biological role of RNF122. RNF122
contains a RING domain, which suggests that it catalyzes
its own degradation. Furthermore, through in vivo and in
vitro ubiquitination assays, RNF122 was identified as a
new ubiquitin ligase. The TM domain is critical to the localization of RNF122 RNF122 contains a putative TM domain near the N ter-
minus (amino acid residues 37-59). To investigate
whether this domain is required for the localization of
RNF122 to the ER, we generated a truncated mutant of
RNF122 in which 60 N-terminal amino acids were
deleted. The expression vectors pcDB/RNF122-ΔTM and
RNF122-ΔTM-GFP were constructed and used to evalu-
ate the functions and subcellular localization of the trun-
cated RNF122. The cytoplasmic expression pattern of the
RNF122 mutant was noted to be diffuse as compared to
the expression pattern of the wild-type RNF122 (Figure
4B), indicating that the N-terminal TM domain of
RNF122 is required for its specific localization. These
findings suggest that the putative N-terminal TM domain
is necessary for the localization of RNF122. CAML is a ubiquitous protein containing 296 amino
acids. It contains 3 putative TM domains near its C ter-
minus and has been shown to be a resident protein of the
ER [12,13]. There are several proteins that can interact
with CAML, including CAML interactor (TACI) [14],
epidermal growth factor receptor (EGFR) [15], p56lck [16],
Kaposi's sarcoma virus-associated mitochondrial K7 pro- Colocalization of RNF122 and CAML in HEK293T and HeLa
cells ure 4A, both pEGFP-N1-RNF122 and CAML-FLAG were
observed to be localized in the cytoplasm and were highly
concentrated in spots around the nucleus; moreover, the
distribution of CAML was similar to that of RNF122. Fur-
ther experiments on the localization of CAML yielded
the same result, namely, that CAML is partially localized
to the ER. This observation is consistent with our previ- In order to confirm the intracellular interaction between
RNF122 and CAML, we constructed a plasmid, namely,
pEGFP-N1-RNF122, encoding green fluorescent protein,
and a CAML-FLAG-encoding plasmid and cotransfected
these into HeLa cells or HEK293T cells. As shown in Fig- Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 Peng et al. BMC Cell Biology 2010, 11:41 Page 5 of 9 Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 g
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http://www.biomedcentral.com/1471-2121/11/41 Figure 3 Interaction of RNF122 with CAML. (A) In mammalian cells, RNF122 interacted with CAML. HEK293T cells were seeded into 60-mm plates
and transfected with pcDB (empty), RNF122-myc or mut-RNF122-myc vectors in conjunction with CAML-FLAG. After 48 h, the cells were treated with
2.5 μg/mL MG132 for 6 h, lysed in PBS containing 1% Triton X-100, and immunoprecipitated with anti-myc antibody agarose beads. (B) CAML is not
involved in the proteasome-dependent degradation pathway. HEK293T cells were treated with 2.5 μM MG132 or vehicle (DMSO) for 6 h. The cells
were then harvested and the expression of CAML was analyzed by western blotting using an anti-CAML antibody. The membrane was subsequently
reprobed with an anti-β-actin antibody. (C) HEK293T cells were transiently cotransfected with CAML-FLAG and pcDB, RNF122-myc, RNF122C92A-myc,
or RNF122C95A-myc. At 24 h post-transfection, the cells were treated with 50 μg/mL CHX and harvested at the indicated times. The cell lysates were
subjected to SDS-PAGE and analyzed by western blotting by using antisera against FLAG and β-actin. (D) The level of RNF122 was found to increase
in a proteasome-independent manner when it was coexpressed with CAML. HEK293T cells were transfected with empty (pcDB) or CAML expression
vector along with RNF122-myc, and subsequently treated with 2.5 μg/mL MG132 or DMSO at 24 h post-transfection. After 24 h, the cell lysates were
suspended in PBS containing 1% Triton X-100 and a protease inhibitor cocktail, and then immunoblotted with an anti-myc antibody. Figure 3 Interaction of RNF122 with CAML. (A) In mammalian cells, RNF122 interacted with CAML. Colocalization of RNF122 and CAML in HEK293T and HeLa
cells We also found that the TM domain
of RNF122 is critical for its localization to the ER. Discussion The importance of the RING finger domain in ubiquit-
ination is supported by the fact that several RING finger
proteins are associated with Ubcs and/or specific pro- Page 6 of 9 Peng et al. BMC Cell Biology 2010, 11:41 Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 tein [17], type-1 angiotensin II receptor-associated pro-
tein (ATRAP) [18], and γ2 subunit-containing gamma-
i
b t
i
id t
A
t
(GABA R) [19] C
the CAML levels. Nonetheless, it seems unlikely that
CAML is a substrate for the ubiquitin ligase activity of
RNF122 Thi
iti
i
b
d
th
b
ti
Figure 4 Subcellular localization of RNF122. (A) HeLa or HEK293T cells were grown on coverslips and transfected with RNF122-N1 and CAML-FLAG. To inhibit the degradation of RNF122-N1, the cells were treated with 2.5 μM MG132 for 6 h. The cells were then treated with anti-FLAG antibody and
FITC-conjugated goat anti-mouse antibody, and observed under a confocal microscopy. The results showed that the cytoplasmic distribution of
CAML entirely overlapped that of RNF122. (B) HEK293T cells were transfected with RNF122-N1 and RNF122ΔTM-N1 and observed under a fluores-
cence microscope. Figure 4 Subcellular localization of RNF122. (A) HeLa or HEK293T cells were grown on coverslips and transfected with RNF122-N1 and CAML-FLAG. To inhibit the degradation of RNF122-N1, the cells were treated with 2.5 μM MG132 for 6 h. The cells were then treated with anti-FLAG antibody and
FITC conjugated goat anti mouse antibody and observed under a confocal microscopy The results showed that the cytoplasmic distribution of Figure 4 Subcellular localization of RNF122. (A) HeLa or HEK293T cells were grown on coverslips and transfected with RNF122-N1 and CAML-FLAG. To inhibit the degradation of RNF122-N1, the cells were treated with 2.5 μM MG132 for 6 h. The cells were then treated with anti-FLAG antibody and
FITC-conjugated goat anti-mouse antibody, and observed under a confocal microscopy. The results showed that the cytoplasmic distribution of
CAML entirely overlapped that of RNF122. (B) HEK293T cells were transfected with RNF122-N1 and RNF122ΔTM-N1 and observed under a fluores-
cence microscope. the CAML levels. Nonetheless, it seems unlikely that
CAML is a substrate for the ubiquitin ligase activity of
RNF122. This supposition is based on the observation
that CAML levels were not reduced by the coexpression
of RNF122 and were not increased in MG132-treated
cells. tein [17], type-1 angiotensin II receptor-associated pro-
tein (ATRAP) [18], and γ2 subunit-containing gamma-
aminobutyric acid type A receptor (GABAAR) [19]. Con-
sistent with the findings of the previous studies on
CAML, our findings showed that RNF122 interacts with
CAML. The coimmunoprecipitation and colocalization
experiments verified the interaction between RNF122
and CAML in mammalian cells and, at the same time,
showed that overexpression of RNF122 does not reduce We have validated the interaction between CAML and
RNF122 in vivo when the proteins are overexpressed,
which may not necessarily represent the endogenous Page 7 of 9 Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 condition. However, we have failed to testify endogenous
interaction because of the limited RNF122 expression
and its poor antibody. In the stability study, RNF122 can
be stabilized when CAML was overexpressed, which give
a clue that RNF122 and CAML are functional related. It
has been concluded that CAML has been proposed to
regulate trafficking of EGFR and the GABAA receptor. The stalibility of EGFR and GABAA receptor can be mod-
ulated through c-Cbl and Plic-1 respectively, and they
both are involved in ubiquitin-proteasome system
[20,21]. So we speculate that RNF122 may regulate EGFR
and GABAA receptor stability through ubiquitin-protea-
some system. We are still focus on the biological role of
RNF122 in the next investigation. The results may give us
a new direction to clarify the biological function of
RNF122. S-transferase) were obtained using PCR fragments
encoding residues 61-155 of human RNF122 or RNF122-
C92A-myc. The PCR primers contained XhoI and BamHI
sites. Cell lines and reagents Human embryonic kidney cell line HEK293T and human
cervix carcinoma cell line HeLa were obtained from the
American Type Culture Collection (Manassas, VA). HEK293T and HeLa cells were cultured (37°C, 5% CO2
humidified atmosphere) in Dulbecco's modified Eagle's
medium (DMEM) (Invitrogen, Carlsbad, CA) containing
10% fetal bovine serum (FBS) (Hyclone, Logan, UT) and
supplemented with 2 mM L-glutamine (Invitrogen, Carls-
bad, CA). Monoclonal mouse antibodies against β-actin,
c-myc, and FLAG were purchased from Sigma (Sigma-
Aldrich, St Louis, MO); horseradish peroxidase (HRP)-
streptavidin and HRP-myc antibodies, from Upstate
(USA); MG132, from Sigma (Sigma-Aldrich, St Louis,
MO); tunicamycin, from Alexis (USA); cycloheximide,
from Calbiochem (USA); and a ubiquitin-conjugating
enzyme kit (mammalian) from Biomol (USA). The resulting PCR fragment was inserted into the
pGEX-4T-1 vector (GE Healthcare, USA). All the inser-
tions were confirmed by DNA sequencing. DNA transfection was performed using VigoFect (Vig-
orous, China), a non-liposomal cationic formula, accord-
ing to the manufacturer's instructions. Prokaryotic expression E. coli strain BL-21(DE3) (Novagen, Madison, WI) were
cultured overnight at 37°C and induced with 0.4 mM iso-
propyl-1-thio-β-D-galactopyranoside for 1 h at room
temperature (RT). The bacterial pellets were resuspended
in a solution containing 50 mM Tris (pH 7.4), 1 mM eth-
ylenediaminetetraacetic acid (EDTA), 1% Triton X-100, 5
mM dithiothreitol (DTT), and 2 mM phenylmethylsulfo-
nyl fluoride (PMSF) (sonication buffer), and lysed by
probe sonication using 4 mL of sonication buffer per 100
mL of bacterial culture. The sonicate was clarified by cen-
trifugation at 4°C for 15 min at 18,000 × g, divided into
aliquots, and stored at -70°C. To estimate the level of GST
fusion proteins expressed, the sonicates were incubated
with glutathione-Sepharose (GS) beads, washed, and sub-
jected to sodium dodecyl sulfate-polyacrylamide gel elec-
trophoresis (SDS-PAGE); subsequently, the gel was
stained with Coomassie Brilliant Blue R-250. Previous study show that CAML can interact with
EGFR in ligand-dependent way, which gave us a clue that
RNF122 may involved in EGFR pathway. We have also
found that RNF122 effect on cell viability may relate to
ERK pathway (data not shown). However, the precise
molecular mechanisms such as the interaction between
EGFR and RNF122 still need to be further explored. Conclusions In conclusion, RNF122 can be characterized as a
C3H2C3-type RING finger-containing E3 ubiquitin ligase
localized to the ER. RNF122 promotes its own degrada-
tion in RING finger-and proteasome-dependent manner. RNF122 interacts with CAML, and its E3 ubiquitin ligase
activity was noted to be dependent on the RING finger
domain. Further studies are required to clarify the molec-
ular mechanism, such as substrate binding, that underlie
RNF122 action. Constructs and transfection Full-length cDNA of RNF122 (GenBank accession no. NM_024787.2) was obtained and pEGFP-N1-RNF122
was constructed according to previously described meth-
ods [10](Wang, Shi et al. 2006). RNF122-myc was ampli-
fied and then ligated into pcDNA.3.1/myc-His(-)B
(Invitrogen, USA). The first or the second cysteine resi-
due of the RING finger was substituted with an alanine
residue by polymerase chain reaction (PCR)-based site-
directed mutagenesis, which resulted in the formation of
products
designated
as
RNF122C92A-myc
or
RNF122C95A-myc, respectively. We get RNF122-ΔTM-
GFP and CAML-FLAG by inserting RNF122-ΔTM and
CAML into the pEGFP-N1 and pFLAG-CMV2 vectors
(Clontech, USA), respectively, using a PCR-based
method. The bacterially expressed GST-RNF122ΔTM or
GST-mutRNF122ΔTM fusion proteins (GST; glutathione Yeast Two-Hybrid Screening The HEK293T or HeLa cells were cotransfected with
pEGFP-N1-RNF122 and CAML22-N1 CCAML-FLAG,
grown on coverslips, fixed using 3.7% paraformaldehyde
at RT for 30 min, and then permeabilized with 0.1% Tri-
ton X-100 at RT for a further 10 min. The cover slips were
washed 3 times with PBS, treated with a blocking buffer
(5% bovine serum albumin in PBS) for 30 min, and incu-
bated with an anti-FLAG primary antibody for 2 h at RT. The cells were then washed 3 times (10 min each) in PBS
and incubated with a secondary antibody for 1 h at 37°C. Rhodamine-conjugated goat anti-mouse immunoglobu-
lin G (IgG; ZhongShan Biotechnology) was used as the
secondary antibody. Yeast Two-Hybrid Screening was performed at Shanghai
Genomics (Shanghai, China). The two-hybrid screening
system has been previously described [22]. Briefly, the
library consisted of 1500 known genes associated with
cell apoptosis, cell proliferation, and cell cycles. Each
ORF was amplified by PCR using Pfu DNA polymerase
and cloned into pGBK-RC, a Gal4 DNA-binding domain-
based bait vector, and pGAD-RC, a Gal4 activation
domain-based prey vector, following the MATCH-
MAKER GAL4 Two-Hybrid System 3 and Libraries User
Manual PT3247-1 (PR94575) protocol (Clontech, Moun-
tain View, CA). Plasmids with inserts of expected sizes
were confirmed by colony PCR followed by agarose gel
electrophoresis. RNF122 bait vector and prey vectors
were cotransfected in yeast Y190 and spread into SD/-T-
L-H. Formed colonies were picked out, cracked in lique-
facient nitrogen, and subsequently utilized in colony lift
filter assays. Authors' contributions
d
h
d ZP participated in the design of the study, carried out the function research,
performed the validation assays, and was pivotal in drafting the manuscript. DM and TS supervised the study and were involved in the conceptualization
and writing. All authors read and approved the final manuscript. In vitro ubiquitination In vitro ubiquitination was performed according to the
instructions provided with the ubiquitination kit
(BioMol, USA). Briefly, the assays were carried out at
30°C in a 50-μL reaction mixture containing 25 mM 4-(2-
hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES),
100 U/mL of isopentenylpyrophosphate (IPP) (Sigma-
Aldrich, St Louis, MO), 50 mM DTT, 50 mM EDTA, 1
mM Mg-ATP (pH 7.5), 100 nM E1 enzyme, 1 μM E2
enzyme, 10 μM GST-RNF122-ΔTM (or mutant GST-
RNF122-ΔTM) fusion protein, and 2.5 μM biotin-labeled
ubiquitin. After 30-60 min, the reactions were terminated
by the addition of a non-reducing gel loading buffer, and
subsequently the protein components were separated by
SDS-PAGE and analyzed by western blotting using the
HRP-streptavidin antibody. In vivo ubiquitination In order to analyze ubiquitination, we transfected the
cells with a myc-tagged RNF122 vector and hemaggluti-
nin (HA)-tagged ubiquitin, as described previously. Next,
we harvested the cells and incubated them with 1 volume
of 2% SDS in TBS (10 mM Tris-HCl, pH 8.0) at 95°C for
10 min in order to achieve lysis. Subsequently, we added 9
volumes of 1% Triton X-100 and 2 mM EDTA in TBS to
the cell lysates, and incubated the lysates on ice for 1 h. The protein concentrations of the lysates were deter-
mined by the bicinchoninic acid (BCA) assay. For immu-
noprecipitation, 1 mg of protein was incubated with the
anti-myc antibody at 4°C overnight; subsequently, this
mixture was incubated with protein G beads for 2 h. The Immunoprecipitation and immunoblotting The samples were then eluted using
60 μL of 2 × SDS loading buffer (Sigma-Aldrich, St Louis,
MO) and analyzed by western blotting using anti-myc or
anti-FLAG antibodies. Subsequently, the bands were
detected using Ig-HRP-conjugated antibodies and an
enhanced chemiluminescence (ECL) detection system
(GE Healthcare, USA). beads were washed twice with NaCl (1 M) in TBS supple-
mented with NP-40 (1%), β-mercaptoethanol (0.05%),
and EDTA (1 mM). The proteins were loaded onto a 12%
SDS-PAGE gel and analyzed by immunoblotting using
the aforementioned antibodies and an ECL detection kit
(GE Healthcare, USA). Immunoprecipitation and immunoblotting HEK293T cells were transiently transfected with the
epitope-tagged constructs using VigoFect, as described
above. Forty-eight hours after transfection, the cells were
washed 3 times in phosphate-buffered saline (PBS), har-
vested by scraping, and centrifuged (5 min, 500 × g). The
pelleted cells were homogenized in a cell lysis buffer [50 Page 8 of 9 Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 mmol/L Tris-HCl (pH 7.4), 150 mmol/L NaCl, 5 mmol/L
EDTA-Na2, 1% NP-40; 1 μg/μL pepstain, 1 μg/μL aproti-
nin, 1 μg/μL leupeptin, 1 mmol/L DTT, and 0.0174 μg/μL
PMSF]. The cell lysates thus obtained were centrifuged
(20 min, 14,000 × g, 4°C), and the resulting supernatants
were combined with 12.5 μL (packed gel) of either anti-c-
Myc or anti-FLAG M2 affinity agarose (Sigma-Aldrich, St
Louis, MO), mixed, and incubated in 4°C overnight. The
immunoadsorbents were recovered by centrifugation (5
min, 700 × g) and washed 3 times with a high-salt buffer
[500 mmol/L Tris-HCl (pH 7.4), 150 mmol/L NaCl, 5
mmol/L EDTA-Na2, 1% NP-40, 1 μg/μL pepstain, 1 μg/μL
aprotinin, 1 μg/μL leupeptin, 1 mmol/L DTT, and 0.0174
μg/μL PMSF], followed by re-suspension in cell lysis cen-
trifugation (5 min, 700 × g), and the same procedure was
repeated using PBS. The samples were then eluted using
60 μL of 2 × SDS loading buffer (Sigma-Aldrich, St Louis,
MO) and analyzed by western blotting using anti-myc or
anti-FLAG antibodies. Subsequently, the bands were
detected using Ig-HRP-conjugated antibodies and an
enhanced chemiluminescence (ECL) detection system
(GE Healthcare, USA). mmol/L Tris-HCl (pH 7.4), 150 mmol/L NaCl, 5 mmol/L
EDTA-Na2, 1% NP-40; 1 μg/μL pepstain, 1 μg/μL aproti-
nin, 1 μg/μL leupeptin, 1 mmol/L DTT, and 0.0174 μg/μL
PMSF]. The cell lysates thus obtained were centrifuged
(20 min, 14,000 × g, 4°C), and the resulting supernatants
were combined with 12.5 μL (packed gel) of either anti-c-
Myc or anti-FLAG M2 affinity agarose (Sigma-Aldrich, St
Louis, MO), mixed, and incubated in 4°C overnight. The
immunoadsorbents were recovered by centrifugation (5
min, 700 × g) and washed 3 times with a high-salt buffer
[500 mmol/L Tris-HCl (pH 7.4), 150 mmol/L NaCl, 5
mmol/L EDTA-Na2, 1% NP-40, 1 μg/μL pepstain, 1 μg/μL
aprotinin, 1 μg/μL leupeptin, 1 mmol/L DTT, and 0.0174
μg/μL PMSF], followed by re-suspension in cell lysis cen-
trifugation (5 min, 700 × g), and the same procedure was
repeated using PBS. 1.
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Road, Beijing, 100191, PR China, 3Peking University Center for Human Disease
Genomics, 38# Xueyuan Road, Beijing, 100191, PR China and 4Department of
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This article is available from: http://www biomedcentral com/1471 2121/11/41
© 2010 Peng 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 repro
BMC Cell Biology 2010 11:41 doi: 10.1186/1471-2121-11-41
Cite this article as: Peng et al., RNF122: A novel ubiquitin ligase associated
with calcium-modulating cyclophilin ligand BMC Cell Biology 2010, 11:41 Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 Page 9 of 9 Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 Peng et al. BMC Cell Biology 2010, 11:41
http://www.biomedcentral.com/1471-2121/11/41 21. Yokouchi M, Kondo T, Houghton A, Bartkiewicz M, Horne WC, Zhang H,
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Biol Cell 2007, 18(6):1965-1978. doi: 10.1186/1471-2121-11-41
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with calcium-modulating cyclophilin ligand BMC Cell Biology 2010, 11:41 21. Yokouchi M, Kondo T, Houghton A, Bartkiewicz M, Horne WC, Zhang H,
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Yoshimura A, Baron R: Ligand-induced ubiquitination of the epidermal
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and UbcH7. J Biol Chem 1999, 274(44):31707-31712. Acknowledgements This study was supported by grants from the National High-tech R&D Program
(863 Program) of China (no. 2006AA02A305), the National Natural Science
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Diagnostic performance of transperineal prostate targeted biopsy alone according to the PI-RADS score based on bi-parametric magnetic resonance imaging
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Frontiers in oncology
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Diagnostic performance of
transperineal prostate targeted
biopsy alone according to
the PI-RADS score based
on bi-parametric magnetic
resonance imaging OPEN ACCESS
EDITED BY
Ran Xu,
Second Xiangya Hospital, Central South
University, China
REVIEWED BY
Biagio Barone,
University of Naples Federico II, Italy
Jianbo Li,
Case Western Reserve University,
United States
*CORRESPONDENCE
Sung Gu Kang
kkangsung7@korea.ac.kr
SPECIALTY SECTION
This article was submitted to
Genitourinary Oncology,
a section of the journal
Frontiers in Oncology
RECEIVED 11 January 2023
ACCEPTED 10 March 2023
PUBLISHED 23 March 2023
CITATION
Noh TI, Shim JS, Kang SH, Cheon J and
Kang SG (2023) Diagnostic performance of
transperineal prostate targeted biopsy
alone according to the PI-RADS score
based on bi-parametric magnetic
resonance imaging. Front. Oncol. 13:1142022. doi: 10.3389/fonc.2023.1142022 EDITED BY
Ran Xu,
Second Xiangya Hospital, Central South
University, China
REVIEWED BY
Biagio Barone,
University of Naples Federico II, Italy
Jianbo Li,
Case Western Reserve University,
United States Tae Il Noh, Ji Sung Shim, Seok Ho Kang, Jun Cheon
and Sung Gu Kang* Tae Il Noh, Ji Sung Shim, Seok Ho Kang, Jun Cheon
and Sung Gu Kang* Department of Urology, Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea Purpose: To compare the diagnostic performance of transperineal targeted
biopsy (TB) or systematic biopsy (SB) alone based on combined TB+SB and
radical prostatectomy (RP) specimen for detecting prostate cancer (PCa)
according to the prostate imaging reporting and data system (PI-RADS) score. Noh TI, Shim JS, Kang SH, Cheon J and
Kang SG (2023) Diagnostic performance of
transperineal prostate targeted biopsy
alone according to the PI-RADS score
based on bi-parametric magnetic
resonance imaging. Materials and methods: This study included 1077 men who underwent
transperineal bi-parametric (bp) magnetic resonance imaging (MRI)–ultrasound
(US) fusion TB+SB (bpMRI-US FTSB) between April 2019 and March 2022. To
compare the performance of each modality (TB, SB, and combined TB+SB) with
the RP specimen (as the standard) for detecting PCa and clinically significant PCa
(csPCa), receiver operating characteristic (ROC) curves were plotted. COPYRIGHT
© 2023 Noh, Shim, Kang, Cheon and Kang. 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. Results: PCa was detected in 581 of 1077 men (53.9%) using bpMRI-US FTSB. TYPE Original Research
PUBLISHED 23 March 2023
DOI 10.3389/fonc.2023.1142022 Diagnostic performance of
transperineal prostate targeted
biopsy alone according to
the PI-RADS score based
on bi-parametric magnetic
resonance imaging Study design Prostate cancer (PCa) diagnosis relies on prostate-specific antigen
(PSA) and prostate biopsy, and transrectal ultrasonography-guided
systematic biopsy (TRUSB) has been considered the standard
diagnostic pathway in men with a clinical suspicion of PCa (1). We analyzed the medical records of 1077 men, between April
2019 and March 2022, who were clinically suspected for PCa with
an elevated prostate-specific antigen (PSA) level (≥4.0 ng/mL),
and/or abnormal findings on digital rectal examination (DRE). All
enrolled patients underwent bi-parametric MRI (bpMRI) prior to
the prostate biopsy, and regions of interest (ROIs) on MRI were
established according to the PI-RADS version 2.0. Subsequent
transperineal bpMRI-US FTSB and RP were performed (Figure 1). However, TRUSB has led to missed diagnosis in >30% of
patients with PCa and has poor discriminative power in
diagnosing cancerous tissue (2, 3). In this regard, to improve the
discriminative power and diagnostic accuracy of prostate biopsy,
visualization of PCa through magnetic resonance imaging (MRI)
has been attempted. Accordingly, the prostate imaging reporting
and data system (PI-RADS) was developed to maximize the
standardized utilization of MRI for detecting PCa, which led to
increased usage of MRI as a guide for targeted biopsy (TB) (4). Studies have suggested that MRI-TB can provide additional value in
diagnosis of PCa for clinically significant PCa (csPCa) categorized
as International Society for Urological Pathology (ISUP) grade ≥2
(5). Additionally, MRI-TB based on PI-RADS significantly
outperforms systematic biopsy (SB) for detection of csPCa with
the probability of sparing the potential redundancy of SB (6–8). FIGURE 1
Flowchart of study design. ADC, apparent diffusion coefficient;
T2WI, T2-weighted images; DWI, diffusion weighted images; TB,
targeted biopsy; SB, systematic biopsy; US, ultrasound. However, MRI was missing PCa in 20% of index tumor and
79% of non-index tumor (9). Therefore, the performance of MRI-
TB alone may be not good enough to omit systematic biopsy (SB) in
every man with a clinical suspicion for PCa (10). TB is the standard
pathway in most cancers, nevertheless the current guidelines for
detecting PCa have recommended SB and additional TB with a
suspicious lesion in MRI (11). However, SB may be associated with
over-diagnose the clinically insignificant PCa and result in
overtreatment and impose the risk of adverse events,
complications, and comes with consequence of medical burden
(12, 13). Abbreviations: ADC, apparent diffusion coefficient; AUC, area under the ROC
curve; bpMRI, bi-parametric MRI; bpMRI–US FTSB, bi-parametric MRI-US
fusion (transperineal) targeted and systematic biopsy; csPCa, clinically significant
prostate cancer; DCE, dynamic contrast enhanced; DWI, diffusion weighted
images; FTSB, (transperineal) fusion targeted and systematic biopsy; GA, general
anesthesia; MRI, magnetic resonance imaging; mpMRI, multi-parametric MRI;
US, ultrasound; PCa, prostate cancer; PI-RADS, prostate Imaging Reporting and
Data Systems; ROC, receiver-operating characteristic; ROI, regions of interest;
SB, (template) systematic biopsy; TRUS, transrectal ultrasound; TRUSB,
transrectal ultrasound guided systematic biopsy; T2WI, T2-weighted images;
TB, targeted biopsy; US, ultrasound. Diagnostic performance of
transperineal prostate targeted
biopsy alone according to
the PI-RADS score based
on bi-parametric magnetic
resonance imaging CsPCa was detected in 383 of 1077 men (35.6%), 17 of 285 (6.0%) with PI-RADS 0
to 2, 35 of 277 (12.6%) with PI-RADS 3, 134 of 274 (48.9%) with PI-RADS 4, and 197
of 241 (81.7%) with PI-RADS 5, respectively. The additional diagnostic value of TB
vs. SB compared to combined TB+SB for diagnosing csPCa were 4.3% vs. 3.2%
(p=0.844), 20.4% vs 5.1% (p<0.001), and 20.3% vs. 0.7% (p<0.001) with PI-RADS 3,
4, and 5, respectively. TB alone showed no significant difference in diagnostic
performance for csPCa with combined TB+SB based on RP specimens in
patients with PI-RADS 5 (p=0.732). Conclusion: A need for addition of SB to TB in patients with PI-RADS 3 and 4
lesions, however, TB alone may be performed without affecting the management
of patients with PI-RADS 5. magnetic resonance imaging, transperineal biopsy, prostate cancer, PI-RADS,
target biopsy 01 01 Frontiers in Oncology frontiersin.org Noh et al. 10.3389/fonc.2023.1142022 MRI acquisition protocol of Urological Pathology (ISUP) grade groups (GG). Clinically
insignificant PCa was defined as an ISUP GG1. Clinically
significant PCa was defined as > ISUP GG2 (Figure 2B). The bpMRI, contrast-free protocol, was performed using a 3.0-T
scanner (Magnetom Skyra and Prisma, Siemens Healthineers,
Erlangen, Germany or Achieva, Philips Healthcare, Best,
Netherlands) with a multichannel phased-array external surface coil. T2-weighted images (T2WI) and diffusion-weighted images (DWI)
were obtained, whereas dynamic contrast-enhanced (DCE) images
were omitted. ROIs on the bpMRI were marked by three dedicated
uroradiologists based on PI-RADS version 2.0 (Figure 2A). Study end points The endpoint was to compare the impact of TB or SB alone
according to PI-RADS scores, referring to the standard of combined
TB+SB and RP specimens. Prostate biopsy protocol We have previously reported a protocol for transperineal
bpMRI-US FTSB (16). In brief, the elastic image registration type
of the MRI-US fusion technique using a mechanical position
encoder and robotic articulated arm system (Biojet, USA) was
used and TB and SB were performed by urologists during the
same session. Further, we considered suspicious lesions as ROI (PI-
RADS ≥3) for TB, and 3-4 cores of TB and sequential 22-cores of SB
were performed using a prostate mapping template (modified
Barzell-template). The ROI for the TB was not intentionally
avoided. Each core was labelled separately and subjected to
histopathology. The number of biopsy cores was decided
depending on the prostate size. The prostate biopsy results were
reported by three uropathologists based on the International Society RP and histopathologic
examination protocol Localized PCa with PI-RADS 3-5, sequentially underwent
robot-assisted RP (RARP) using da Vinci Si, Xi, or SP system
(Intuitive Surgical, Sunnyvale, CA, USA) by two surgeons. For
histopathological examination, whole-mount histopathology slides
were used, and each prostate was sectioned in the axial plane from
the basal to the apex at approximately 4-5 mm intervals (Figure 2C). Study design Notably, in PI-RADS 5, MRI-TB have shown good
performance with high predictive rates for csPCa that suggests TB
alone might also be valuable in diagnosing csPCa (14–16). The purpose of this study was to compare the diagnostic
performance of TB or SB alone according to the PI-RADS scores
with combined TB+SB based on the standard transperineal bi-
parametric magnetic resolution imaging-ultrasound fusion TB+SB
(bpMRI-US FTSB) and radical prostatectomy (RP) specimen. 02 Frontiers in Oncology frontiersin.org Noh et al. 10.3389/fonc.2023.1142022 Diagnostic performance of bpMRI-US FTSB In patients with PI-RADS 3 to 5, csPCa (ISUP ≥GG2) was
detected in 43.1%, 31.4%, and 46.2% cases via TB, SB, and
combined TB+SB, respectively. Accordingly, the diagnosis rate of
TB, SB, and combined TB+SB for diagnosing csPCa were 9.4%,
8.3%, and 12.6% in patients with PI-RADS 3, 43.8%, 28.5%, and
48.9% in patients with PI-RADS 4, and 81.0%, 61.4%, and 81.7% in
patients with PI-RADS 5, respectively (Figure 3B). The additional
diagnostic value for csPCa detection of TB vs. SB alone compared to
combined TB+SB was 14.8% vs. 3.1%(p<0.001) in patients with PI-
RADS 3-5; PI-RADS 3: 4.3% vs. 3.2% (p=0.844), PI-RADS 4: 20.4%
vs. 5.1% (p<0.001), and PI-RADS 5: 20.3% vs. 0.7% (p<0.001),
respectively (Table 3). Further, TB alone showed no significant
difference in diagnostic performance for csPCa to combined TB+SB
in patients with PI-RADS 5; PI-RADS 3: area under the curve PCa (GG1) was detected in 581 of 1077 men (53.9%) by bpMRI-
US FTSB. Accordingly, it was detected in 58 of 285 cases (35.6%)
with PI-RADS 0-2, in 91 of 277 cases (32.9%) with PI-RADS 3, in
209 of 274 cases (76.3%) with PI-RADS 4, and in 220 of 241 cases
(91.3%) with PI-RADS 5 (Figure 3A). Further, csPCa (≥GG2) was
detected in 383 of 1077 men (35.6%). Accordingly, it was detected
in 17 of 285 men (6.0%) with PI-RADS 0-2, in 35 of 277 men
(12.6%) with PI-RADS 3, in 134 of 274 men (48.9%) with PI-RADS
4, and in 197 of 241 men (81.7%) with PI-RADS 5 (Figure 3B). The
distribution of ISUP grade groups is shown in Table 2. Patients with
csPCa (GG2≥2) had higher median PSA, PSAD, and lower prostate
volume than those with GG1 pathology; PSA(IQR) [66.0 vs. 72.0, TABLE 1 Demographics of men according to PI-RADS distribution. Statistical analysis To quantify and compare the performance of each modality
(TB, SB, and combined TB+SB) in detecting PCa and csPCa, FIGURE 2
Protocols of study. (A) Bi-parametric magnetic resonance imaging (bpMRI) (B) Transperineal bpMRI-Ultrasound fusion targeted and systematic
biopsy (C) Whole-mount radical prostatectomy specimen ISUP, International Society for Urological Pathology; GG, grade group; MRI, Magnetic
resonance imaging; TB, targeted biopsy; SB, systematic biopsy. FIGURE 2
Protocols of study. (A) Bi-parametric magnetic resonance imaging (bpMRI) (B) Transperineal bpMRI-Ultrasound fusion targeted and systematic
biopsy (C) Whole-mount radical prostatectomy specimen ISUP, International Society for Urological Pathology; GG, grade group; MRI, Magnetic
resonance imaging; TB, targeted biopsy; SB, systematic biopsy. 03 Frontiers in Oncology frontiersin.org Noh et al. 10.3389/fonc.2023.1142022 p= 0.038], PSAD (0.14 vs. 0.35, p=0.011), and lower prostate
volume (41.2 vs. 30.3, p=0.047) than those with GG1 pathology
(Supplementary Table 1). receiver operating characteristic (ROC) curve analyses were
performed considering combined TB+SB and RP specimens as
standards. Accordingly, the results were summarized using
Delong’s test as the areas under the ROC curves (AUCs) and 95%
CI. All statistical analyses were performed using IBM SPSS version
26.0 (IBM Corp., Armonk, NY, USA). The level of statistical
significance was considered P<0.05. Patient demographics Combined TB+SB showed superior diagnostic performance for
TB or SB alone in patients with PI-RADS 3 and 4 (p <0.001). However, TB alone showed no significant difference in diagnostic
performance for csPCa with combined TB+SB in patients with PI-
RADS 5; PI-RADS 3: area under the curve (AUC) [95% confidence
interval (CI)], 0.882 [0.838–0.918], p<0.001; PI-RADS 4: AUC,
0.964 [0.935–0.983], p<0.001; PI-RADS 5: AUC, 0.986 [0.961–
0.997], p=0.078 (Table 3). In total, 1077 men were included in the analysis. The median
(interquartile range (IQR)) age was 69.0 (62.0-75.0) years. The
median (IQR) PSA and PSA density (PSAD) were 6.66 (4.57-11.57)
ng/mL and 0.18 (0.11-0.35) ng/mL2. The demographics of the study
population are reported in Table 1. Ethics statement In patients with PI-RADS 3 to 5, TB, SB, and Combined TB+SB
were able to detect PCa in 61.0%, 54.0%, and 66.0% of cases,
respectively. Accordingly, the diagnosis rate of TB, SB, and combined
TB+SB for diagnosing PCa were 24.9%, 26.4%, and 32.9% in patients
with PI-RADS 3, 70.8%, 63.5%, and 76.3% in patients with PI-RADS 4,
and 91.3%, 75.1%, and 92.5% in patients with PI-RADS 5, respectively
(Figure 3A). The additional diagnostic value for PCa detection of TB vs. SB compared to combined TB+SB were 12.0% vs. 5.0% (p<0.001) in
patients with PI-RADS 3-5; PI-RADS 3: 6.5% vs. 8.0% (p=0.535), PI-
RADS 4: 12.8% vs. 5.5% (p<0.001), and PI-RADS 5: 17.4% vs. 1.2%
(p<0.0001), respectively (Table 3). This study was conducted in accordance with the Declaration of
Helsinki and current ethical guidelines. The study was reviewed and
approved by the Ethics Committee and Institutional Review Board
of Korea University Anam Hospital (IRB No. 2018AN0339). PI-RADS, prostate imaging-reporting and data systems; IQR, interquartile range; PSA, prostate-specific antigen; DRE, digital rectal exam. frontiersin.org PI-RADS, prostate imaging-reporting and data systems; IQR, interquartile range; PSA, prostate-specific antigen; DRE, digital rectal exam. Diagnostic performance of bpMRI-US FTSB All
PI-RADS 0-2
PI-RADS 3
PI-RADS 4
PI-RADS 5
Distribution of PI-RADS, n (%)
1077
285 (26.5)
277 (25.7)
274 (25.4)
241 (22.4)
Median Age (IQR)
69.0 (62.0-75.0)
61.0 (56.0-68.0)
66.0 (61.0-72.0)
72.0 (64.8-77.0)
72.0 (68.0-78.0)
Median PSA, ng/mL (IQR)
6.66 (4.57-11.57)
5.27 (4.14-6.73)
5.65 (4.28-8.64)
6.88 (4.89-10.87)
13.3 (7.03-34.3)
Median prostate volume, cm3 (IQR)
36.3 (26.4-50.1)
38.9 (27.7-54.0)
39.4 (30.2-51.1)
34.9 (25.3-46.4)
32.1 (24.2-44.4)
Median PSA density (IQR)
0.18 (0.11-0.35)
0.13 (0.08-0.20)
0.15 (0.10-0.22)
0.19 (0.13-0.35)
0.45 (0.22-1.03)
Median free/total PSA ratio (IQR)
0.15 (0.10-0.21)
0.17 (0.12-0.24)
0.17 (0.12-0.23)
0.13 (0.10-0.19)
0.12 (0.08-0.17)
DRE nodule, n (%)
122 (11.3)
15 (5.3)
27 (9.7)
42 (15.3)
38 (15.8)
PI RADS prostate imaging reporting and data systems; IQR interquartile range; PSA prostate specific antigen; DRE digital rectal exam 04 frontiersin.org Noh et al. 10.3389/fonc.2023.1142022 FIGURE 3
Diagnostic performance of TB, SB, TB+SB in patients with PI-RADS 3 to 5 (A) Detection rate for prostate cancer (B) Detection rate for clinically
significant prostate cancer PI-RADS, prostate imaging-reporting and data systems; TB, targeted biopsy; SB, systematic biopsy. FIGURE 3
Diagnostic performance of TB, SB, TB+SB in patients with PI-RADS 3 to 5 (A) Detection rate for prostate cancer (B) Detection rate for clinically
significant prostate cancer PI-RADS, prostate imaging-reporting and data systems; TB, targeted biopsy; SB, systematic biopsy. (AUC) [95% confidence interval (CI)], 0.893 [0.851–0.927],
p=0.0088; PI-RADS 4: AUC, 0.961 [0.931–0.981], p=0.002; PI-
RADS 5: AUC, 0.989 [0.971–0.998], p=0.093 (Table 3). (3.7%) and 3 of 108 (2.8%) with PI-RADS 5, respectively. Further,
downgrading of GG ≥2 to GG1 occurred in only one in 289
(0.3%) (Table 4). The combined TB+SB showed superior diagnostic performance
compared to TB alone for diagnosing csPCa when compared to the
standard of RP specimen; TB alone vs TB+SB, AUC (95% CI); PI-
RADS 3-5: 0.824 (0.777-0.864) vs. 0.860 (0.809-0.911), p=0.034; PI-
RADS 3: 0.663 (0.524-0.802) vs. 0.722 (0.593-0.852), p=0.016; PI-
RADS 4: 0.817 (0.730-0.904) vs. 0.844 (0.766-0.921), p=0.049. TB
alone showed no significant difference in diagnostic performance
for csPCa to combined TB+SB in patients with PI-RADS 5; TB
alone vs. combined TB+SB, AUC (95% CI), 0.951(0.909-0.994) vs. 0.961(0.924-0.998), p=0.732 (Table 4). Comparison of diagnostic performances
referring to RP specimen The RARP was performed in 289 of 483 diagnosed with PCa
with PI-RADS 3-5; 59 of 91 (64.8%) with PI-RADS 3, 122 of 209
(58.4%) with PI-RADS 4, and 108 of 220 (49.1%) with PI-RADS 5,
respectively (Table 4). Accordingly, TB alone and combined TB+SB showed 45.7% and
33.2% of any upgrading in RP specimens with PI-RADS 3-5; 76.2% and
37.3% with PI-RADS 3, 50.4% and 39.3% with PI-RADS 4, 28.7% and
24.1% with PI-RADS 5, respectively; and upgrading of GG1 to GG ≥2
occurred in 59 of 265 (22.3%) and 59 of 289 (20.4%) cases with PI-
RADS 3-5; 17 of 42 (40.5%) and 21of 59 (35.6%) with PI-RADS 3, 38 of
115 (33.0%) and 35 of 122 (28.7%) with PI-RADS 4, and 4 of 108 * ISUP grade groups (GG):1 = Gleason 6 (or less), 2 = Gleason 7(3 + 4), 3 = Gleason 7(4 + 3), 4 = Gleason 8(4 + 4 or 3 + 5 or 5 + 3), and 5 = Gleason 9 or 10. csPCa: ≥ISUP GG2.
MRI-US, magnetic resonance imaging-ultrasonography; ISUP, International Society for Urological Pathology; TB, targeted biopsy; SB, systematic biopsy; PCa, prostate cancer; PI-RADS, prostate
imaging reporting and data system. Frontiers in Oncology Discussion In recent years with significant improvements in the accuracy of
MRI after implementation of the PI-RADS, the use of prebiopsy TABLE 2 Diagnostic performance of transperineal MRI-US fusion TB and SB. All
PI-RADS 0-2
PI-RADS 3
PI-RADS 4
PI-RADS 5
1077
285
277
274
241
SB
TB
SB
TB+SB
TB
SB
TB+SB
TB
SB
TB+SB
PCa, n (%)
581 (53.9)
58 (20.4)
69 (24.9)
73 (26.4)
91 (32.9)
194 (70.8)
174 (63.5)
209 (76.3)
220 (91.3)
181 (75.1)
223 (92.5)
csPCa, n (%)
383 (35.6)
17 (6.0)
26 (9.4)
23 (8.3)
35 (12.6)
120 (43.8)
78 (28.5)
134 (48.9)
195 (81.0)
148 (61.4)
197 (81.7)
ISUP*, n (%)
1
198 (34.1)
41 (14.4)
43 (15.5)
50 (18.1)
56 (20.2)
74 (27.0)
96 (35.0)
75 (27.4)
25 (10.4)
33 (13.7)
26 (10.8)
2
119 (20.5)
10 (3.5)
15 (5.4)
17 (6.1)
22 (7.9)
43 (15.7)
25 (9.1)
44 (16.1)
46 (19.1)
42 (17.4)
43 (17.8)
3
37 (6.4)
5 (1.8)
3 (1.1)
1 (0.4)
2 (0.7)
11 (4.0)
7 (2.6)
15 (5.5)
28 (11.6)
12 (5.0)
15 (6.2)
4
180 (30.9)
1 (0.4)
8 (2.9)
5 (1.8)
11 (4.0)
60 (21.9)
41 (15.0)
66 (24.1)
91 (37.8)
66 (27.4)
102 (42.3)
5
47 (8.1)
1 (0.4)
0 (0.0)
0 (0.0)
0 (0.0)
6 (2.2)
5 (1.8)
9 (3.3)
30 (12.4)
28 (11.6)
37 (15.4)
* ISUP grade groups (GG):1 = Gleason 6 (or less), 2 = Gleason 7(3 + 4), 3 = Gleason 7(4 + 3), 4 = Gleason 8(4 + 4 or 3 + 5 or 5 + 3), and 5 = Gleason 9 or 10. csPCa: ≥ISUP GG2. TABLE 2 Diagnostic performance of transperineal MRI-US fusion TB and SB. 05 Frontiers in Oncology frontiersin.org 10.3389/fonc.2023.1142022 Noh et al. TABLE 3 Diagnostic performance of TB or SB alone according to PI-RADS compared to combined TB and SB. Discussion All (PI-RADS 3-5)
PI-RADS 3
PI-RADS 4
PI-RADS 5
792
277
274
241
TB
SB
TB
+SB
TB
SB
TB
+SB
TB
SB
TB
+SB
TB
SB
TB
+SB
PCa, n (%)
483
(61.0)
428
(54.0)
523
(66.0)
69
(24.9)
73
(26.4)
91
(32.9)
194
(70.8)
174
(63.5)
209
(76.3)
220
(91.3)
181
(75.1)
223
(92.5)
Additional value of TB
12.0%
6.5 %
12.8 %
17.4 %
Additional value of SB
5.0%
8.0 %
5.5 %
1.2 %
AUC (CI 95%) Reference to TB+SB
0.932
(0.915-
0.947)
0.914
(0.895-
0.931)
0.882
(0.838-
0.918)
0.904
(0.863-
0.937)
0.964
(0.935-
0.983)
0.916
(0.877-
0.946)
0.986
(0.961-
0.997)
0.906
(0.862-
0.940)
p value (vs. TB+SB)
<0.001
<0.001
<0.001
<0.001
<0.001
<0.001
0.078
<0.001
csPCa (≥GG2) *, n (%)
341
(43.1)
249
(31.4)
366
(46.2)
26
(9.4)
23
(8.3)
35
(12.6)
120
(43.8)
78
(28.5)
134
(48.9)
195
(81.0)
148
(61.4)
197
(81.7)
Additional value of TB
14.8%
4.3%
20.4%
20.3%
Additional value of SB
3.1%
3.2%
5.1%
0.7%
AUC (CI 95%)
Reference to TB+SB
0.957
(0.942-
0.968)
0.881
(0.895-
0.901)
0.893
(0.851-
0.927)
0.883
(0.839-
0.918)
0.961
(0.931-
0.981)
0.841
(0.792-
0.882)
0.989
(0.971-
0.998)
0.867
(0.817-
0.907)
p value (vs. TB+SB)
<0.001
<0.001
0.009
0.004
0.0021
<0.001
0.093
<0.001
* ISUP grade groups (GG):1 = Gleason 6 (or less), 2 = Gleason 7(3+4), 3 = Gleason 7(4+3), 4 = Gleason 8(4+4 or 3+5 or 5+3), and 5 = Gleason 9 or 10. csPCa: ≥ISUP GG2
AUC, area under the curve; CI, confidence interval; ISUP, International Society for Urological Pathology; TB, targeted biopsy; SB, systematic biopsy; PCa, prostate cancer; csPCa, clinically
significant prostate cancer; PI-RADS, prostate imaging reporting and data system. * ISUP grade groups (GG):1 = Gleason 6 (or less), 2 = Gleason 7(3+4), 3 = Gleason 7(4+3), 4 = Gleason 8(4+4 or 3+5 or 5+3), and 5 = Gleason 9 or 10. csPCa: ≥ISUP GG2
AUC, area under the curve; CI, confidence interval; ISUP, International Society for Urological Pathology; TB, targeted biopsy; SB, systematic biopsy; PCa, prostate cancer; csPCa, clinically
significant prostate cancer; PI-RADS, prostate imaging reporting and data system. calculators (RCs) have been suggested, thereby may be reducing the
number of unnecessary biopsies (22). MRI for PCa diagnosis has increased (4, 6, 17). Discussion Furthermore,
numerous studies have demonstrated that MRI-TB could offer
improved diagnostic value for csPCa with pooled sensitivity and
specificity of 0.80 (95%CI: 0.69-0.87) and 0.94 (95%CI: 0.90-0.97)
(5). However, addition of TB to SB increases the number of csPCa
(≥ISUP GG2) by 6.7-7.6%, while added value of SB to TB is 4.3-
5.2% for csPCa (5, 14, 18). Further, MRI was missing PCa in 20% of
index tumor and 79% of non-index tumor (9). Therefore, due to the
additional diagnostic value of SB and the risk of missing csPCa with
TB alone, combined TB + SB has been suggested for dignosing PCa
(5, 10, 11). Notably, MRI-TB showed good performance and was highly
predictive for diagnosing csPCa in cases with PI-RADS 5 (77-85%)
(7, 14, 16). In a study comparing the concordances between PI-
RADS and histologic reports of the RP specimen, the PI-RADS≥3
was further associated with csPCa in 92.4% of cases, with 100%
association in cases with a PI-RADS 5 score (23). High performance
of MRI-TB and low additional diagnostic value (2-4%) of SB for
detection of csPCa in patients with PI-RADS 5 that suggests the
probability of sparing the potential redundancy of SB in PI-RADS 5
(12, 24, 25). However, it should be noted that obtaining more prostate cores
accompanies with a greater risk of complications, such as
prostatitis, sepsis events, visits to the emergency room, rectal
bleeding, hematuria, and pain (7, 19, 20). MRI-TB alone with
fewer core biopsies per patient might lead to fewer complications. The net benefit of adding SB to TB for prostate biopsy optimization
according to PI-RADS score should be weighed against accuracy for
csPCa detection and additional burden such as overdiagnosis of
indolent PCa, resulting in overtreatment and complications from
increased numbers of biopsies. For predicting csPCa, several
predictors and their combination such as clinical parameters
including PSAD and PI-RADS score have been suggested (21). In
addition, for risk assessment to determine the need for biopsy, risk For MRI-TB, mpMRI have shown a high sensitivity and
negative predictive value (NPV) of 93.0% and 89.0% for csPCa
(6). However, it is time-consuming (~ 40 min) to acquire T2-
weighted imaging (T2WI) and diffusion-weighted imaging (DWI),
and dynamic contrast-enhanced (DCE) imaging requires
intravenous administration of contrast media. Several studies have demonstrated comparable diagnostic
performance of bpMRI (contrast-free protocol) to mpMRI (26). Frontiers in Oncology TB
11
(94
58
(50
30
(26
44
(38
38
(33
71
(61
0
(0.
0.8
(0.730-
0.04
0. csPCa:
cancer; cs 11
(94
58
(50
30
(26
44
(38
38
(33
71
(61
0
(0.0
0.8
(0.730-
0.04
csPCa:
ncer; cs 30
(26.
44
(38.
38
(33.
71
(61.
0
(0.0
0.8
.730-
0.04
PCa:
er; cs . csP
ance (0.7
0. csP
cance my, n
T
1
(94
5
(50
3
(26
4
(38
3
(33
7
(61
0
(0
0.8
(0.730
0.0
csPCa
ncer; c 0.04
PCa:
er; cs 5
(50
3
(26
4
(38
3
(33
7
(61
0
(0.
0.8
(0.730-
0.0
0. csPCa:
cancer; cs (0.7
0. csP
ancer omy,
(
(
(
(
(
(
0
(0.73
0
csPC
ancer; Data availability statement In the current study, we compared the impact of TB, SB, and
combined TB+SB according to the PI-RADS score. Accordingly, the
SB had only additional diagnostic values of 1.2% and 0.7% for
detection of PCa and csPCa in patients with PI-RADS 5. Further,
TB alone showed no significant difference of diagnostic
performance with combined TB+SB for csPCa. Similarly, in a
study conducted on 112 patients with PI-RADS 5 on MRI and
subsequentially 78 of RP, TB alone could diagnose PCa with very
high probability (97%) in patients with PSAD >0.15ng/ml2 (12). Accordingly, if SB was omitted, none of the PCa cases and only 4%
of csPCa cases would be missed. Thus, the authors suggest that SB
might be omitted for cases with PI-RADS 5 and PSAD >0.15ng/ml2. The original contributions presented in the study are included
in the article/Supplementary Material. Further inquiries can be
directed to the corresponding author. 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. The limitations of this study are its retrospective nature and
accompanying bias. The other limitation is that this study was
performed in a single tertiary center with transperineal prostate
biopsy and bpMRI, and transrectal prostate biopsy with mpMRI,
which is the common practice, was not considered. This may raise
concerns toward extrapolating a general trend from our results. Nevertheless, this study can support that performing TB alone in
patients with PI-RADS 5 lesions, might mitigate the medical burden
by SB omission. Discussion In a systematic review and meta-analysis of the diagnostic
accuracy of bpMRI and mpMRI for PCa detection, pooled
sensitivity and specificity did not show significant difference
and the AUCs were similar; 0.87 and 0.90 for mpMRI and 06 Frontiers in Oncology frontiersin.org ording to radical prostatectomy specimen by PI-RADS scores. y, n (%)
PI-RADS 4
PI-RADS 5
122
108
TB
SB
TB+SB
TB
SB
TB+SB
115
(94.2)
104
(85.2)
122
(100.0)
108
(100.0)
84
(77.8)
108
(100.0)
58
(50.4)
79
(76.0)
48
(39.3)
31
(28.7)
54
(64.3)
26
(24.1)
30
(26.1)
24
(23.1)
37
(30.3)
37
(34.3)
28
(33.3)
47
(43.5)
44
(38.3)
62
(59.6)
45
(36.9)
9
(8.3)
23
(27.9)
8
(7.4)
38
(33.0)
54
(51.9)
35
(28.7)
4
(3.7)
19
(22.6)
3
(2.8)
71
(61.7)
42
(40.4)
77
(63.1)
99
(91.7)
66
(78.6)
100
(92.6)
0
(0.0)
0
(0.0)
0
(0.0)
0
(0.0)
0
(0.0)
0
(0.0)
0.817
730-0.904)
0.688
(0.559-0.816)
0.844
(0.766-0.921)
0.951
(0.909-0.994)
0.820
(0.711-0.929)
0.961
(0.924-0.998)
0.049
<0.001
0.732
<0.001
PCa: ≥ISUP GG2. er; csPCa, clinically significant prostate cancer; PI-RADS, Prostate Imaging Reporting and Data System. Noh et al. 10.3389/fonc.2023.1142022 performed for diagnosing csPCa in patients with PI-RADS 5,
without changing the subsequent clinical management. bpMRI (27). In this regard, bpMRI is more rapid (~15 min) due
to exclusion of DCE, and safer from potential side effects of
contrast media than mpMRI while retaining a sufficient
diagnostic value (16). 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. Author contributions TIN: protocol/project development, data acquisition, data
analysis and interpretation, drafting of the manuscript. JSS:
Protocol/project development, supervision. SHK: Protocol/project
development, Data acquisition, supervision. JC: Protocol/project
development, supervision. SGK: Protocol/project development,
Data acquisition, supervision. All authors contributed to the
article and approved the submitted version. Ethics statement This study was approved by the Ethics Committee and the
Institutional Review Board of KUMC (IRB No. 2018AN0339). Since the upgrading grade group of RP specimens from prostate
biopsy has been reported, the omission of SB may lead to
misclassification of PCa; TB (30.9%) and TB+SB (14.4%) of the
upgraded grade group (10). These inconsistencies between biopsy
and specimen of prostate, upgrading and misclassification of PCa,
are the inherent limitations of prostate needle biopsy (28). Nevertheless, in this study, upgrading from GG1 to ≥GG2, which
has a potential risk of changing subsequent clinical management,
showed difference in only one patient; TB alone vs. combined TB
+SB, 4 of 108 (3.7%) vs. 3 of 108 (2.8%). Similarly, in another study,
MRI-TB alone in PI-RADS 5 cases had meager upgrade rate (3.4%)
(29). Further, addition of SB to TB in PI-RADS 5 cases altered only
3.1% of the highest grade group of PCa patients, all of whom had
already been categorized as GG≥2 based on TB, and SB did not
change subsequent clinical management (24). Current study
supports the need for SB in patients with PI-RADS 3 and 4
lesions. However, minimal additional diagnostic values of SB and
comparable diagnostic performance of MRI-TB suggest that SB
potentially can be omitted in patients with PI-RADS 5. References 1. Mottet N, Bellmunt J, Bolla M, Briers E, Cumberbatch MG, De Santis M, et al. EAU-ESTRO-SIOG guidelines on prostate cancer. part 1: Screening, diagnosis, and
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protocol. BJU Int (2004) 94:1014. doi: 10.1111/j.1464-410X.2004.05096.x 6. Conclusion The Supplementary Material for this article can be found online
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full#supplementary-material The current study suggests a need for addition of SB to TB in
patients with PI-RADS 3 and 4 lesions, and TB alone may be 08 Frontiers in Oncology frontiersin.org 10.3389/fonc.2023.1142022 Noh et al. References Ahmed HU, El-Shater Bosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK, et al. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer
(PROMIS): a paired validating confirmatory study. Lancet (2017) 389:815. doi:
10.1016/S0140-6736(16)32401-1 21. Massanova M, Vere R, Robertson S, Crocetto F, Barone B, Dutto L, et al. Clinical
and prostate multiparametric magnetic resonance imaging findings as predictors of
general and clinically significant prostate cancer risk: A retrospective single-center
study. Curr Urol (2023). doi: 10.1097/cu9.0000000000000173 22. Alberts AR, Roobol MJ, Verbeek JFM, Schoots IG, Chiu PK, Osses DF, et al. Prediction of high-grade prostate cancer following multiparametric magnetic
resonance imaging: Improving the Rotterdam European randomized study of
screening for prostate cancer risk calculators. Eur Urol (2019) 75:310–8. doi: 10.1016/j.eururo.2018.07.031 7. Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA,
Vaarala MH, et al. MRI-Targeted or standard biopsy for prostate-cancer diagnosis. N Engl J Med (2018) 378:1767. doi: 10.1056/NEJMoa1801993 8. Siddiqui MM, Rais-Bahrami S, Turkbey B, George AK, Rothwax J, Shakir N, et al. Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy
for the diagnosis of prostate cancer. JAMA (2015) 313:390. doi: 10.1001/
jama.2014.17942 23. Rapisarda S, Bada M, Crocetto F, Barone B, Arcaniolo D, Polara A, et al. The role
of multiparametric resonance and biopsy in prostate cancer detection: comparison with
definitive histological report after laparoscopic/robotic radical prostatectomy. Abdom
Radiol (NY) (2020) 45:4178–84. doi: 10.1007/s00261-020-02798-8 9. Le JD, Tan N, Shkolyar E, Lu DY, Kwan L, Marks LS, et al. Multifocality and
prostate cancer detection by multiparametric magnetic resonance imaging: correlation
with whole-mount histopathology. Eur Urol (2015) 67:569. doi: 10.1016/
j.eururo.2014.08.079 24. Drobish JN, Bevill MD, Tracy CR, Sexton SM, Rajput M, Metz CM, et al. Do
patients with a PI-RADS 5 lesion identified on magnetic resonance imaging require
systematic biopsy in addition to targeted biopsy? Urol Oncol (2021) 39:235 e1. doi:
10.1016/j.urolonc.2020.12.015 10. Ahdoot M, Wilbur AR, Reese SE, Lebastchi AH, Mehralivand S, Gomella PT,
et al. MRI-Targeted, systematic, and combined biopsy for prostate cancer diagnosis. N
Engl J Med (2020) 382:917. doi: 10.1056/NEJMoa1910038 25. Kilic M, Vural M, Coskun B, Acar Ö, Saglican Y, Akpek , et al. Accuracy of
sampling PI-RADS 4-5 index lesions alone by MRI-guided in-bore biopsy in biopsy-
naive patients undergoing radical prostatectomy. Eur Urol Focus (2020) 6:249. doi:
10.1016/j.euf.2019.04.010 11. References Mottet N, van den Bergh RCN, Briers E, Van den Broeck T, Cumberbatch MG,
De Santis M, et al. EAU-EANM-ESTRO-ESUR-SIOG guidelines on prostate cancer-
2020 update. part 1: Screening, diagnosis, and local treatment with curative intent. Eur
Urol (2021) 79:243. doi: 10.1016/j.eururo.2020.09.042 26. Bass EJ, Pantovic A, Connor M, Gabe R, Padhani AR, Rockall A, et al. A
systematic review and meta-analysis of the diagnostic accuracy of biparametric prostate
MRI for prostate cancer in men at risk. Prostate Cancer Prostatic Dis (2021) 24:596. doi:
10.1038/s41391-020-00298-w 12. Tafuri A, Iwata A, Shakir A, Iwata T, Gupta C, Sali A, et al. Systematic biopsy of
the prostate can be omitted in men with PI-RADS™5 and prostate specific antigen
density greater than 15. J Urol (2021) 206:289. doi: 10.1097/JU.0000000000001766 12. Tafuri A, Iwata A, Shakir A, Iwata T, Gupta C, Sali A, et al. Systematic biopsy of
the prostate can be omitted in men with PI-RADS™5 and prostate specific antigen
density greater than 15. J Urol (2021) 206:289. doi: 10.1097/JU.0000000000001766 27. Alabousi M, Salameh JP, Gusenbauer K, Samoilov L, Jafri A, Yu H, et al. Biparametric vs multiparametric prostate magnetic resonance imaging for the
detection of prostate cancer in treatment-naïve patients: a diagnostic test accuracy
systematic review and meta-analysis. BJU Int (2019) 124:209. doi: 10.1111/bju.14759 13. Weiner AB, Manjunath A, Kirsh GM, Scott JA, Concepcion RD, Verniero J,
et al. The cost of prostate biopsies and their complications: a summary of data on all
medicare fee-for-service patients over 2 years. Urol Pract (2020) 7:145. doi: 10.1097/
UPJ.0000000000000072 28. Noh TI, Shim JS, Kang SG, Cheon J, Lee JG, Lee JH, et al. Concordance between
biparametric MRI, transperineal targeted plus systematic MRI-ultrasound fusion
prostate biopsy, and radical prostatectomy pathology. Sci Rep (2022) 12:6964. doi:
10.1038/s41598-022-10672-4 14. Rouvière O, Puech P, Renard-Penna R, Claudon M, Roy C, Mège-Lechevallier F,
et al. Use of prostate systematic and targeted biopsy on the basis of multiparametric
MRI in biopsy-naive patients (MRI-FIRST): a prospective, multicentre, paired
diagnostic study. Lancet Oncol (2019) 20:100. doi: 10.1016/S1470-2045(18)30569-2 15. Filson CP, Natarajan S, Margolis DJ, Huang J, Lieu P, Dorey FJ, et al. Prostate
cancer detection with magnetic resonance-ultrasound fusion biopsy: The role of
systematic and targeted biopsies. Cancer (2016) 122:884. doi: 10.1002/cncr.29874 15. Filson CP, Natarajan S, Margolis DJ, Huang J, Lieu P, Dorey FJ, et al. Prostate
cancer detection with magnetic resonance-ultrasound fusion biopsy: The role of
systematic and targeted biopsies. References Cancer (2016) 122:884. doi: 10.1002/cncr.29874 29. Arabi A, Deebajah M, Yaguchi G, Pantelic M, Williamson S, Gupta N, et al. Systematic biopsy does not contribute to disease upgrading in patients undergoing
targeted biopsy for PI-RADS 5 lesions identified on magnetic resonance imaging in the
course of active surveillance for prostate cancer. Urology (2019) 134:168. doi: 10.1016/
j.urology.2019.08.035 16. Noh TI, Tae JH, Kim HK, Shim JS, Kang SG, Sung DJ, et al. Diagnostic accuracy
and value of magnetic resonance imaging-ultrasound fusion transperineal targeted and 16. Noh TI, Tae JH, Kim HK, Shim JS, Kang SG, Sung DJ, et al. Diagnostic accuracy
and value of magnetic resonance imaging-ultrasound fusion transperineal targeted and 09 Frontiers in Oncology frontiersin.org
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Porting CMS Heterogeneous Pixel Reconstruction to Kokkos
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Taylor Childers1,, Matti J. Kortelainen2,∗, Martin Kwok2, Alexei Strelchenko2, and Yunsong
Wang3 Taylor Childers1,, Matti J. Kortelainen2,∗, Martin Kwok2, Alexei Strelchenko2, and Yunsong
Wang3 1Argonne National Laboratory, Lemont, IL, USA 1Argonne National Laboratory, Lemont, IL, USA 1Argonne National Laboratory, Lemont, IL, USA
2Fermi National Accelerator Laboratory, Batavia, IL, USA
3Lawrence Berkeley National Laboratory, Berkeley, CA, USA 2Fermi National Accelerator Laboratory, Batavia, IL, USA 2Fermi National Accelerator Laboratory, Batavia, IL, USA 3Lawrence Berkeley National Laboratory, Berkeley, CA, USA 3Lawrence Berkeley National Laboratory, Berkeley, CA, USA Abstract. Programming for a diverse set of compute accelerators in addition
to the CPU is a challenge. Maintaining separate source code for each archi-
tecture would require lots of effort, and development of new algorithms would
be daunting if it had to be repeated many times. Fortunately there are sev-
eral portability technologies on the market such as Alpaka, Kokkos, and SYCL. These technologies aim to improve the developer productivity by making it pos-
sible to use the same source code for many different architectures. In this paper
we use heterogeneous pixel reconstruction code from the CMS experiment at
the CERNL LHC as a realistic use case of a GPU-targeting HEP reconstruction
software, and report experience from prototyping a portable version of it us-
ing Kokkos. The development was done in a standalone program that attempts
to model many of the complexities of a HEP data processing framework such
as CMSSW. We also compare the achieved event processing throughput to the
original CUDA code and a CPU version of it. This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S.
Department of Energy, Office of Science, Office of High Energy Physics. FERMILAB-CONF-21-063-SCD FERMILAB-CONF-21-063-SCD ∗e-mail: matti@fnal.gov 1 Introduction
1 Graphics processing units (GPUs) are being used in scientific computing because of their cost
2
and power efficiency in solving data-parallel problems. Currently each GPU vendor provides
3
their own APIs and programming models, that also differ from the programming of the CPU. 4
There are, however, similarities in these GPU programming models, and in many cases the
5
code for very core pieces of algorithms can be shared between the CPU and the GPUs, but
6
the surrounding code arranging the data and calling the algorithms has to differ. In multi-
7
million line code bases that have many custom algorithms and have to be maintained for tens
8
of years, such duplication of code would require significant development and maintenance
9
effort, and be error prone to maintain. 10 Over several years, many technologies for fully portable code between CPUs and com-
1
pute accelerators have emerged to ease the development and maintenance burden of het-
2
erogeneous applications. These technologies include C++ libraries, such as Alpaka [1–
3
3], Kokkos [4], and RAJA [5, 6]; SYCL [7] that can be implemented as libraries such as
4
triSYCL [8] and hipSYCL [9] or as specific compilers such as ComputeCpp [10] by Code-
5
play and DPC++ [11] by Intel; compiler pragma based solutions such as OpenMP [12] and
6 ∗e-mail: matti@fnal.gov OpenACC [13]; or as standard C++ itself via parallel STL where the compiler is solely re-
17
sponsible for generating necessary code for the offloading. 18 OpenACC [13]; or as standard C++ itself via parallel STL where the compiler is solely re-
17
sponsible for generating necessary code for the offloading. 18 In this work we explore the applicability of Kokkos for portability across CPU and GPUs
19
using the Patatrack heterogeneous pixel reconstruction workflow [14] from the CMS exper-
20
iment [15] at the CERN LHC [16] as a use case for a set of realistic HEP reconstruction
21
algorithms that are able to effectively utilize a GPU. The work was done in the context of
22
the DOE HEP Center for Computational Excellent (HEP-CCE). We look into not only the
23
porting of the algorithms, but also the implications of integrating such an approach into a
24
HEP data processing software. 25 We mimic the setup of the CMS data processing software, CMSSW [17]. 1 Introduction
1 CMSSW is
26
multi-threaded [18–20] using the Intel Threading Building Blocks (TBB) [21], and the cur-
27
rent plan for direct same-node compute accelerators is to build code for all supported accel-
28
erators in the same release build, express all possibilities in the configuration, and decide at
29
runtime what code exactly to run based on hardware availability [22, 23]. We are looking for
30
a single-source solution that would provide portability at least across CPU and GPUs, would
31
be relatively easy to program with by HEP physicists, would provide adequate performance
32
on all relevant platforms, and would require the least amount of change in the CMSSW build-
33
ing and data processing model. It is unlikely that all these goals would be met by a single
34
technology, and therefore it is necessary to learn the details in all these aspects to find the
35
best compromise. 36 This paper is organized as follows. The technical aspects of the Patatrack pixel recon-
37
struction are described in Section 2. A brief introduction of Kokkos is given in Section 3. 38
The experience of porting the original CUDA application into Kokkos is reported in Sec-
39
tion 4. In Kokkos’ nomenclature a place that runs code is called an execution space. We
40
have tested Serial, Threads, CUDA, and HIP execution spaces of Kokkos, and we focus on
41
several aspects in how Kokkos would fit into a framework like CMSSW. We have measured
42
the event processing throughput of the Kokkos version’s CPU and CUDA execution spaces,
43
and compare those to direct CPU and CUDA implementations in Section 5. Conclusions are
44
given in Section 6. 45 2 Patatrack Heterogeneous Pixel Reconstruction
46 The Patatrack pixel reconstruction pioneered offloading algorithms to NVIDIA GPUs with di-
47
rect CUDA programming within CMSSW. The offloaded chain of reconstruction algorithms
48
takes the raw data of the CMS pixel detector as an input, along with the beamspot parameters
49
and necessary calibration data, and produces pixel tracks and vertices. CMSSW schedules
50
algorithms as units that are called modules. The pixel reconstruction algorithms are orga-
51
nized in five modules, depicted in Figure 1, that communicate the intermediate data in the
52
GPU memory through the CMSSW event data. The BeamSpot module only transfers the
53
beamspot data into the GPU. The Clusters module transfers the raw data to the GPU, un-
54
packs them, calibrates the individual pixels, and clusters the pixels on each detector module. 55
The RecHits module estimates the 3D position of each cluster forming hits. The Tracks mod-
56
ule forms n-tuplets from the hits, and fits the hit n-tuplets to obtain track parameters. The
57
Vertices module forms vertices from the pixel tracks. There are further modules to optionally
58
transfer the tracks and vertices to the CPU, and to convert the Structure-of-Array (SoA) data
59
structures to the data formats used by downstream algorithms in CMSSW, but those are not
60
considered in this work and therefore not shown in Figure 1. 61 In order to explore code portability technologies, the CUDA code of the Patatrack pixel
62
reconstruction was extracted from CMSSW into a standalone program [24]. The separation
63
from CMSSW gives us freedom to modify the compilers, build rules, external libraries, and
64 BeamSpot
Clusters
RecHits
Tracks
Vertices
Figure 1. Directed acyclic graph of the framework modules in the Patatrack pixel reconstruction. The
arrows denote the data dependencies of the modules, e.g. RecHits module depends on data produced
by BeamSpot and Clusters modules. The Clusters module (red rectangle) is the only one that transfer
data from the device to the host and uses External Worker synchronization mechanism, while the other
modules (blue oval) do not. BeamSpot
Clusters
RecHits
Tracks
Vertices Clusters Figure 1. Directed acyclic graph of the framework modules in the Patatrack pixel reconstruction. The
arrows denote the data dependencies of the modules, e.g. RecHits module depends on data produced
by BeamSpot and Clusters modules. 2 Patatrack Heterogeneous Pixel Reconstruction
46 The Clusters module (red rectangle) is the only one that transfer
data from the device to the host and uses External Worker synchronization mechanism, while the other
modules (blue oval) do not. code organization that would be more laborious to achieve in the full CMSSW software
stack. The standalone program was crafted to mimic several aspects of CMSSW, including
similar organization of code into shared libraries, plugin libraries that are loaded dynamically
based on run-time information, and a simple framework that uses TBB for multi-threading. From the CMSSW framework concurrency features this simple framework includes only
event loop based on TBB tasks, processing of multiple events concurrently, and processing
of independent modules concurrently for the same event. There is only a single module
type of each module having a separate instance for each concurrent event, and the External
Worker concept [23] is included in order to use the CPU threads to do other work while the
GPU is running the offloaded work. The CMSSW tools to use CUDA runtime directly in the
modules [23] are also included. The standalone setup includes a binary data file that contains raw pixel detector data from
76
1000 simulated top quark pair production events from CMS Open Data [25], with an average
77
of 50 superimposed pileup collisions with a center-of-mass energy of 13 TeV, using design
78
conditions corresponding to the 2018 CMS detector. All of the data, about 250 MB, are
79
read into the memory at the job startup to exclude I/O from the throughput measurement. 80
The necessary pixel detector conditions data are also stored in binary files, and read into the
81
memory at the start of the job. The data processing throughput is calculated by measuring
82
the time spent in the event processing, and dividing the number of processed events with
83
that time. For each event, the object holding the raw data for that event is copied once from
84
the aforementioned memory buffer to another object owned by the event data structure. The
85
event processing time includes the time taken by this copy operation. 86 3 Kokkos
87 Kokkos is a programming model and a C++ library for writing performance portable appli-
88
cations. At the time of writing the latest version of Kokkos is 3.3.1, and it supports several
89
execution spaces. An algorithm can be run serially on the host CPU via a host serial ex-
90
ecution space, or it can be parallelized with one of two host parallel execution spaces that
91
are OpenMP and (POSIX) Threads. An algorithm can also be offloaded to compute accel-
92
erators with device parallel execution spaces. NVIDIA GPUs can be used with CUDA or
93
HPX execution spaces, and AMD GPUs can be used with HIP execution space. There are
94
also OpenMP-Target and SYCL 2020 execution spaces that can support various platforms
95
depending on the underlying toolchain. Currently all other device parallel execution spaces
96
than CUDA are experimental. In this work we have tested Serial, Threads, CUDA, and HIP
97
execution spaces. 98 // declarations of variables // declarations of variables
constexpr uint32_t MaxNumModules; // declarations of variables
constexpr uint32_t MaxNumModules; constexpr uint32_t maxHitsInModule(); Kokkos::View<uint32_t const*, Kokkos::CudaSpace > cluStart; Kokkos::View<uint32_t const*, Kokkos::CudaSpace > cluStart; Kokkos::View<uint32_t*, Kokkos::CudaSpace > moduleStart; Kokkos::parallel_for(
Kokkos::RangePolicy <Kokkos::Cuda>(0, MaxNumModules)),
KOKKOS_LAMBDA(const int index) {
moduleStart(index + 1) = std::min(maxHitsInModule(), cluStart(index));
}); Kokkos::parallel_for(
Kokkos::RangePolicy <Kokkos::Cuda>(0, MaxNumModules)),
KOKKOS_LAMBDA(const int index) {
moduleStart(index + 1) = std::min(maxHitsInModule(), cluStart(index));
});
Figure 2. A simplified example of using RangePolicy policy with parallel_for. The initializa
tion of the declared variables is omitted for brevity. In this example the execution and memory spac
template argument are spelled out explicitly. If the compile-time defaults for those suffice, the explic Kokkos::parallel_for(
Kokkos::RangePolicy <Kokkos::Cuda>(0, MaxNumModules)), moduleStart(index + 1) = std::min(maxHitsInModule(), cluStart(index)); Figure 2. A simplified example of using RangePolicy policy with parallel_for. The initializa-
tion of the declared variables is omitted for brevity. In this example the execution and memory space
template argument are spelled out explicitly. If the compile-time defaults for those suffice, the explicit
template arguments can be left out. Corresponding CUDA program is shown in Figure 3. Kokkos makes use of a runtime library. The library can have the Serial, one host parallel,
99
and one device parallel execution space enabled at the same time, and this set is chosen at the
100
library build configuration time. 1The league corresponds to grid in CUDA, and team corresponds to block. 4.1 Impact on building
128 The current plan to support compute accelerators in CMSSW software stack is to build code
129
for all supported accelerators, and choose the exact version to be run at runtime [22]. The
130
various constraints of the Kokkos runtime library, described in Section 3, make it challenging
131
to deploy in this manner. A single runtime library supporting only one device parallel exe-
132
cution space, and only one CUDA major architecture or CPU vector architecture, would, in
133
this plan, imply the need to build many versions of the runtime library. The correct version
134
would have to be loaded dynamically based on the available hardware. In this work we used
135
exactly one runtime library at a time. 136 Every source file that includes any Kokkos header must be built with a compiler that is
137
capable of compiling the code for all the enabled execution spaces, even if the source file
138
would not use any Kokkos functionality. For example, if the Kokkos runtime library was
139
built with CUDA execution space enabled, all source files including Kokkos headers must be
140
compiled with a CUDA capable compiler. 141 Kokkos provides an integration with the CMake build system. In this work, however, we
142
used CMake only to build the Kokkos runtime library itself, and we used a plain Makefile to
143
build the application code. We did this because CMSSW uses the SCRAM build system [26],
144
and therefore we’d have to understand the exact build rules in order to implement those for
145
SCRAM. 146 The inability of nvcc to link device code from shared objects imposed severe constraints
147
on how the Kokkos runtime library had to be built. We were able to use the runtime library
148
built as a dynamic library with RangePolicy, but with the first use of TeamPolicy that
149
approach lead to link errors from nvcc. The only build setup we managed to get to work was
150
to build the Kokkos runtime library as a static library without support for relocatable device
151
code, but with position-independent code for the host (-fPIC) to be able to link the static
152
library with dynamic libraries of the application. // declarations of used variables
constexpr uint32_t MaxNumModules;
constexpr uint32_t maxHitsInModule(); // declarations of used variables
constexpr uint32_t MaxNumModules;
constexpr uint32_t maxHitsInModule() // declarations of used variables
constexpr uint32_t MaxNumModules;
constexpr uint32_t maxHitsInModule() // declarations of used variables constexpr uint32_t MaxNumModules; constexpr uint32_t maxHitsInModule(); __global__
void fillHitsModuleStart(uint32_t const* cluStart , uint32_t* moduleStart) {
for(int i = threadIdx.x, iend = MaxNumModules; i < iend; i += blockDim.x) {
moduleStart[i + 1] = std::min(maxHitsInModule(), cluStart[i]);
} __global__
void fillHitsModuleStart(uint32_t const* cluStart , uint32_t* moduleStart) {
for(int i = threadIdx.x, iend = MaxNumModules; i < iend; i += blockDim.x) {
moduleStart[i + 1] = std::min(maxHitsInModule(), cluStart[i]);
} uint32_t const* cluStart_; uint32_t* moduleStart_; fillHitsModuleStart <<<1, 1024>>>(cluStart_ , moduleStart_); Figure 3. CUDA version of the simplified example expressed in Kokkos in Figure 2. The initialization
of the declared variables is omitted for brevity. 3 Kokkos
87 In addition, at least for CUDA execution space, one library
101
can support only GPUs that have the same major compute capability number. For example,
102
one library can support Volta (compute capability 7.0) and Turing (7.5) GPUs, but not Volta
103
and Pascal (6.0) GPUs. In the code the execution space to be used can be chosen at compile
104
time with template arguments. If the execution space is not specified explicitly, the most
105
advanced execution space available in the library is used, i.e. device parallel execution space
106
is preferred over host parallel execution space, which is preferred over the Serial execution
107
space. Currently Kokkos supports only one device per process. 108 Kokkos
provides
high-level
interface
for
parallel
operations. These
include
109
parallel_for for a for-loop of independent iterations, parallel_scan for a prefix scan,
110
and parallel_reduce for a reduction. Parallel operations can be nested with some restric-
111
tions. The details of the iteration are controlled with a policy. A RangePolicy can be used
112
for a 1-dimensional range where all elements of the range can be processed independently. 113
An example of parallel_for with RangePolicy is shown in Figure 2 and a corresponding
114
CUDA version in Figure 3. An MDRangePolicy extendes the concept of the 1-dimensional
115
RangePolicy to many, up to 6, dimensions. A TeamPolicy introduces a league of teams
116
that consist of threads1. Threads in a team can use a common scratch memory space, and can
117
synchronize within the team with a barrier. In addition, Kokkos has some support for tasks
118
and graphs, that are not explored in this work. 119 As well as parallel operations, Kokkos provides a datastructure for multi-dimensional ar-
120
ray, Kokkos::View. It is reference counted and behaves like std::shared_ptr, and can
121
be passed to device functions by value. A major feature of the Kokkos::View is that its
122
memory layout can be controlled with template arguments, and the default layout depends on
123
the memory space. In addition, intents for the memory can be expressed with additional tem-
124
plate arguments, for example specifying random-access constant data enables seamless use
125
of CUDA texture caches. Data transfers between the host and the device are done explicitly. 126 4.2 Impact on code As mentioned in Section 3, the Kokkos execution space is chosen at compile time. A choice
160
done at runtime would be a much better fit in the current plans of using compute accelerators
161
in CMSSW. We implemented the capability of choosing the execution space at runtime by
162
building each source file containing Kokkos code once for each execution space and using
163
namespaces to guarantee different symbols for each execution space. 164 Conversion of CUDA kernel calls to Kokkos parallel operations was mostly straightfor-
165
ward. Kokkos provides a parallel scan and sort, and therefore we decided to use those instead
166
of trying to port the implementations of scan and radix sort device functions in the direct
167
CUDA version. The code uses team-wide scan, but before version 3.3, Kokkos provided only
168
league-wide scan. Before updating to Kokkos 3.3 we used the league-wide scan with two ad-
169
ditional kernels to post-process the league-wide result to be equivalent to a team-wide scan. 170
Kokkos’ parallel sort function can be called only from the host code, which meant that we
171
had to split all the CUDA kernels that called the device-side sort function into two kernels,
172
and call the Kokkos’ host-side sort function in between. Finding out the proper and efficient
173
way to transform the CUDA code to use the Kokkos’ scan and sort APIs was the most time
174
consuming single effort. 175 For hierarchical parallelism, or thread teams, we found that the number of threads in a
176
team is not exactly portable. The Serial execution space requires it to be exactly one, Threads
177
execution space can use at most the number of CPU threads, and CUDA execution space has
178
the same limitations as CUDA itself. This disparity can be largely mitigated by specifying
179
the number of threads as Kokkos::AUTO(), that leaves the decision of the number of threads
180
to Kokkos. 181 We found Kokkos::View to be useful by providing a unified interface for memory allo-
182
cation, and smart pointer semantics for managing the ownership of the memory block. Also
183
the ability to avoid an additional memory allocation in code that transfers data from host to
184
device for CPU-only execution spaces is a plus. 4.1 Impact on building
128 This setup implies that CUDA separate
153
compilation model can not be used, and therefore each source file must contain all device
154
code called from that file, either directly or via including other files. Also, CUDA dynamic
155
parallelism can not be used. 156 p
With the HIP execuion space we were able to use a dynamic Kokkos runtime library, and
157
in fact were not able to get a static build to work with the HIP compiler. 158 5 Performance comparison
208 The performance tests were done on GPU nodes of the Cori supercomputer at the National
209
Energy Research Scientific Computing Center (NERSC). A Cori GPU node has two sockets
210
with Intel Xeon Gold 6148 ("Skylake") processors, each with 20 cores and 2 threads per core,
211
and eight NVIDIA V100 GPUs. For this work we used only one CPU socket, to avoid the
212
impact of non-uniform memory access (NUMA), and one GPU. In all tests the threads were
213
pinned to a single socket. Each job was run for approximately 5 minutes, processing the set
214
of 1000 individual events for an integer number of times, and repeated 8 times on random
215
nodes of the GPU cluster. The code was compiled with GCC 8.3.0, and nvcc from CUDA
216
11.1. 217 In order to minimize the impact of the CPU frequency scaling the CPU programs were
218
tested by running another program on the background with as many threads as needed to fill
219
all the 40 hardware threads of the socket. Table 1 shows the throughput of the Kokkos ver-
220
sion with Serial and Threads execution spaces, and of the direct CPU version with 1 and 40
221
threads. The Kokkos version processes one event at a time, and with the Threads execution
222
space each Kokkos parallel operation is parallelized with the same number of threads. The
223
direct CPU version, on the other hand, is parallelized by processing multiple events concur-
224
rently, one event per thread. While comparing the multi-threaded throughput of these two
225
approaches is not exactly fair, it does show what can be achieved with a single process using
226
the different approaches. 227 The results in Table 1 show that the intra-event parallelization scales poorly, whereas par-
228
allelizing over events gives much better throughput and scales well. We have not concluded
229
yet why the direct CPU version gives 1.5 times better throughput than the Kokkos version
230
with Serial execution space. 231 The programs using CUDA were tested without any background activity on the CPU. 232
Table 2 shows the throughput of the Kokkos version with CUDA execution space, and of
233
the direct CUDA version. 4.2 Impact on code The more advanced features like multiple
185
dimensions and the layout control are not needed in this code, where nearly all arrays have
186
only one dimension. The only exception is the track covariance matrix, but we did not try
187
to transform the Eigen-based implementation in the original CUDA into multidimensional
188
Kokkos::View. In this code a SoA abstraction would be much more useful than multi-
189
dimensional array, and we do not see how Kokkos::View would help in crafting SoA data
190
structures. 191 In the first Kokkos version we found that about 80 % overall kernel runtime was spent
192
in Kokkos::View initialization. In this code the first operation for all device memory is
193
a write either by a memory copy from the host memory, or by a computation done in a
194
kernel. Therefore all the initialization done by default is unnecessary, and avoiding that with
195
Kokkos::ViewAllocateWithoutInitializing argument to Kokkos::View constructor
196
improved the event processing throughput by almost a factor of 3. 197 At the time of writing, we have not been able to successfully run the full application with
198
the HIP execution space. A test application that uses the same build and dynamic library
199
infrastructure works well, but is not complex-enough to give meaningful insights into the
200
performance. 201 Furthermore, we have not yet managed to run the application with multiple concurrent
202
events with Serial or CUDA execution spaces. The Threads execution space explicitly pre-
203
vents calls from more than one thread, even if the calls would come at different times. Despite
204
of the Threads execution space being uninteresting to be used in the context of CMSSW, we
205
have included it as a comparison point in the performance measurements in Section 5 to show
206
how a parallelization strategy different from concurrent events would perform. 207 6 Conclusions
245 We have ported the Patatrack heterogeneous pixel reconstruction code from CUDA to
246
Kokkos. In our experience Kokkos provides an API that is at a higher level than CUDA,
247
and would be easier to develop new algorithms by physicists that are not necessarily experts
248
in programming. We have achieved almost full portability between CPU, CUDA, and HIP,
249
even if work still continues to understand runtime failures of the HIP execution space version
250
of the code. This analysis shows that Kokkos can give 70 % of native CUDA performance in
251
a simplified setup without either a memory pool or concurrent events. If similar performance
252
proportion can be achieved also in a more realistic setup, it may be worth using a portable
253
framework to reduce person power in maintaining a code base despite the loss of compute
254
performance. 255 Our impression is that Kokkos would work well for a project that compiles the code
256
separately for each target architecture, does not rely much on shared libraries, uses CMake as
257
the build system, and does not rely on concurrent work outside of Kokkos. CMSSW doing
258
all these in the opposite way implies that integrating the current version of Kokkos into the
259
current data processing model of CMSSW would be challenging to do without sacrificing
260
application performance. It is not, however, clear to us at this time to what extent these
261
challenges are caused by design choices in Kokkos, or by the nature of the portability problem
262
itself. 263 More work is needed to complete the study with Kokkos. In addition, comparisons to
264
other portability technologies are planned within the HEP-CCE. 265 5 Performance comparison
208 In order to compare to the current state of the
Kokkos version, the CUDA version was tested also with 1 concurrent event and disabling the use of
the memory pool. The reported uncertainty corresponds to sample standard deviation of 8 trials. Test case
Throughput (events/s)
CUDA version, peak (9 concurrent events and CPU threads)
1840 ± 20
CUDA version, 1 concurrent event
720 ± 20
CUDA version, 1 concurrent event, memory pool disabled
159 ± 1
Kokkos version, CUDA execution space
115.7 ± 0.3 Table 2. Comparison of the event processing throughput between the Kokkos version of the program
using CUDA execution space and the original CUDA version. In all cases the CPU threads were
pinned to a single CPU socket, and used one NVIDIA V100 GPU. Each test ran about 5 minutes, and
the machine was free from other activity. The CUDA version can process data from multiple events
concurrently using many CPU threads and CUDA streams, and uses a memory pool to amortize the
cost of raw CUDA memory allocations. The maximum throughput from a scan from 1 to 20
concurrent events is reported for the CUDA version. In order to compare to the current state of the
Kokkos version, the CUDA version was tested also with 1 concurrent event and disabling the use of
the memory pool. The reported uncertainty corresponds to sample standard deviation of 8 trials. Test case
Throughput (events/s)
CUDA version, peak (9 concurrent events and CPU threads)
1840 ± 20
CUDA version, 1 concurrent event
720 ± 20
CUDA version, 1 concurrent event, memory pool disabled
159 ± 1
Kokkos version, CUDA execution space
115.7 ± 0.3 The Kokkos version with the CUDA execution space reaches about 70 % of the through-
239
put of the direct CUDA version when run on a single concurrent event and disabling the use
240
of the memory pool. Profiling indicates that various overheads e.g. in the Kokkos::View
241
are the main cause for the performance difference. From Table 2 it is also clear that the kind
242
of data processing done in this application benefits greatly from a memory pool, and from
243
processing multiple events concurrently. 244 5 Performance comparison
208 The direct CUDA version can process data from multiple events
234
concurrent with CUDA streams, and this approach helps to get 2.5 times higher throughput
235
from the V100 GPU than when processing one event at a time. With a single event in flight,
236
the memory pool, based on the CachingDeviceAllocator of the CUB [27] library, helps
237
to increase the throughput by 4.5 times compared to using raw CUDA memory allocations. 238 Table 1. Comparison of the event processing throughput between the Kokkos version of the program
using Serial and Threads execution spaces and the CPU version implemented from the original CUDA
version through a simple translation header. In all cases all the threads were pinned to a single CPU
socket (Intel Xeon Gold 6148) that has 20 cores and 2 threads per core. Each test ran about 5 minutes,
and CPU-heavy threads from a background process were used to fill all the 40 hardware threads of the
socket. The work in the CPU version is parallelized by processing as many events concurrently as the
number of threads the job uses without any intra-event parallelization, whereas in the Kokkos version
there is only one event in flight, and all parallelization is within the data of that event. For the Kokkos
version with Threads execution space the maximum throughput from a scan from 1 to 20 threads is
reported. The reported uncertainty corresponds to sample standard deviation of 8 trials. Test case
Throughput (events/s)
CPU version, 1 thread
13.5 ± 0.2
Kokkos version, Serial execution space
8.5 ± 0.2
CPU version, 40 threads
539 ± 9
Kokkos version, Threads execution space, peak (18 threads)
28 ± 1 Table 2. Comparison of the event processing throughput between the Kokkos version of the program
using CUDA execution space and the original CUDA version. In all cases the CPU threads were
pinned to a single CPU socket, and used one NVIDIA V100 GPU. Each test ran about 5 minutes, and
the machine was free from other activity. The CUDA version can process data from multiple events
concurrently using many CPU threads and CUDA streams, and uses a memory pool to amortize the
cost of raw CUDA memory allocations. The maximum throughput from a scan from 1 to 20
concurrent events is reported for the CUDA version. Acknowledgements
266 is work was supported by the U.S. Department of Energy, Office of Science, Office of High
Ph
i
Hi h E
Ph
i
C
t
f
C
t ti
l E
ll
(HEP CCE) t This work was supported by the U.S. Department of Energy, Office of Science, Office of High
267
Energy Physics, High Energy Physics Center for Computational Excellence (HEP-CCE) at
268 This work was supported by the U.S. Department of Energy, Office of Science, Offic
267 Energy Physics, High Energy Physics Center for Computational Excellence (HEP
268 Argonne National Laboratory, Fermi National Accelerator Laboratory, and Lawrence Berke-
269
ley National Laboratory under B&R KA2401045. This research used resources of the Na-
270
tional Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy
271
Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated
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https://openalex.org/W4200589512
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https://dro.deakin.edu.au/ndownloader/files/36835590
|
English
| null |
Exotic herbivores dominate Australian high‐elevation grasslands
|
Conservation science and practice
| 2,021
|
cc-by
| 9,112
|
K E Y W O R D S K E Y W O R D S
grazing, herbaceous, invasive species, landscape elements, mountain, nonindigenous, non-
native, plant–herbivore interactions, subalpine, vegetation structure grazing, herbaceous, invasive species, landscape elements, mountain, nonindigenous, non-
native, plant–herbivore interactions, subalpine, vegetation structure Correspondence Correspondence
Renée Hartley, Fenner School of
Environment and Society, Australian
National University, 141 Linnaeus Way,
Canberra, ACT 2601, Australia. Email: renee.hartley@anu.edu.au C O N T R I B U T E D P A P E R C O N T R I B U T E D P A P E R Renée Hartley1
|
Wade Blanchard1
|
Mellesa Schroder2
|
David B. Lindenmayer1
|
Chloe Sato1
|
Ben C. Scheele1 1Fenner School of Environment and
Society, Australian National University,
Canberra, Australia
2Southern Ranges Branch, National Parks
and Wildlife Service NSW, Jindabyne,
Australia 1Fenner School of Environment and
Society, Australian National University,
Canberra, Australia
2Southern Ranges Branch, National Parks
and Wildlife Service NSW, Jindabyne,
Australia 1Fenner School of Environment and
Society, Australian National University,
Canberra, Australia Funding information This research was supported by an
Australian Government Research
Training Program (RTP) Scholarship, the
NSW Government Saving our Species
program, a Royal Zoological Society of
NSW Paddy Pallin Science Grant, and the
National Environmental Science Program;
none of which were involved in the study
design, data collection, analysis or
interpretation, writing, or decision to
publish. Exotic herbivores dominate Australian high-elevation
grasslands Renée Hartley1
|
Wade Blanchard1
|
Mellesa Schroder2
|
David B. Lindenmayer1
|
Chloe Sato1
|
Ben C. Scheele1 Abstract Invasive species are major drivers of ecosystem degradation globally. How
invasive herbivore impacts differ from native herbivore impacts remains
understudied. We examined the relationships between herbivore sign and veg-
etation height, foliage density, cover of forbs, weeds, bare ground, and soil
compaction across environmental and herbivore activity gradients in the main-
land Australian Alps. We detected native and exotic herbivore sign at 32.8%
and 94.0% of sites, respectively. Total herbivore activity was primarily attrib-
uted to exotic herbivores and was associated with elevation and grassland type. Greater horse (exotic) activity was associated with lower vegetation height,
lower foliage density, higher forb cover, and higher soil compaction. Greater
rabbit and hare (exotic) activity was associated with lower vegetation height,
lower foliage density, and a higher cover of bare ground. Greater total herbi-
vore activity was associated with greater weed cover. Neither deer (exotic) nor
kangaroo and wallaby (native) activity was related to response variables. We
demonstrate that exotic herbivores dominate mammalian herbivory in these
grasslands, which evolved without analogous hooved species. Given the
restricted distribution and high endemism of these ecosystems, and associa-
tions between exotic herbivores and characteristics of degraded grasslands, we
recommend
landscape-scale
exotic
herbivore
management,
focusing
on
maintaining ground cover and vegetation structure. 2Southern Ranges Branch, National Parks
and Wildlife Service NSW, Jindabyne,
Australia 21
Revised: 20 November 2021
Accepted: 22 November 2021 Received: 25 July 2021
Revised: 20 November 2021
Accepted: 22 November 2021
DOI: 10.1111/csp2.601 DOI: 10.1111/csp2.601 Is activity of exotic and native herbivores associated
with a more simple vegetation structure, differences in
vegetation composition, and higher soil compaction? Both exotic (Eldridge, Ding, & Travers, 2020; Mutze
et al., 2016) and native (Donaldson et al., 2018;
Vandegehuchte et al., 2017) herbivores can modify veg-
etation structure by reducing biomass, lowering vegeta-
tion height, altering plant composition, and increasing
soil compaction. The associations between horses, rab-
bits, and hares and reduced vegetation biomass in grass-
lands of the Alps are well documented (e.g., Eldridge
et al., 2019; Leigh et al., 1987), whereas such associa-
tions have not been investigated for the majority of her-
bivores. As ecosystem responses to herbivory can
depend on whether a herbivore is novel to an ecosystem
(Antonelli et al., 2011; Bailey & Schweitzer, 2010;
Spear & Chown, 2009), we hypothesize that exotic her-
bivore activity will be associated with lower vegetation
height, lower foliage density, greater weed and forb
cover, and greater soil compaction, while native herbi-
vores will have neutral associations with these charac-
teristics. Native grasslands are among the most extensive and
threatened ecosystems worldwide (Sala et al., 2013). The
high-elevation grasslands of the Australian Alps Bioregion
(hereafter the Alps) evolved with limited mammalian her-
bivory and are highly vulnerable to exotic herbivore
impacts (Pickering et al., 2010). In this region, large native
herbivores are mostly absent from elevations higher than
1650 meters above sea level (a.s.l.) (Green, 2016). In recent
years, there have been marked increases in exotic herbivore
populations in the Alps, and there is growing evidence of
their negative impacts on native grassland ecosystems
(Cairns,
2019;
Claridge,
2016a;
Eldridge,
Travers,
et al., 2020; Leigh et al., 1987; Matthews & Spooner, 2014;
Schulz et al., 2019). However, investigations to date have
typically considered
a single target herbivore
taxon,
e.g. horse (Driscoll et al., 2019), deer (Davis et al., 2016),
pig (Hone, 2002), hare (Green & Pickering, 2013), or rabbit
(Leigh et al., 1987). Multispecies research is therefore
required to determine the differing effects of co-occurring
native and exotic herbivores in grasslands of the Alps. This research provides critical information on the
effects of co-occurring native and exotic herbivore spe-
cies in high-elevation grasslands that can be used to
guide conservation and management in these areas of
social and conservation importance. Williams et al. 2 of 11 HARTLEY ET AL. Herbivore habitat use can be influenced by proximity
to natural and constructed landscape elements, such
as
roads,
ecotones,
and
waterbodies
(Davies
et al., 2020; Forsyth et al., 2009; Girard et al., 2013;
Green et al., 2014; Matthews & Spooner, 2014). We
therefore predict herbivore presence and total herbi-
vore activity will be positively associated with proxim-
ity to woodland as a form of shelter, roads and tracks
that may facilitate movement, water sources and low
positions in the landscape, and negatively associated
with higher elevations due to snow cover. We predict
that each herbivore family will have a different proba-
bility of presence associated with each grassland type. Herbivore habitat use can be influenced by proximity
to natural and constructed landscape elements, such
as
roads,
ecotones,
and
waterbodies
(Davies
et al., 2020; Forsyth et al., 2009; Girard et al., 2013;
Green et al., 2014; Matthews & Spooner, 2014). We
therefore predict herbivore presence and total herbi-
vore activity will be positively associated with proxim-
ity to woodland as a form of shelter, roads and tracks
that may facilitate movement, water sources and low
positions in the landscape, and negatively associated
with higher elevations due to snow cover. We predict
that each herbivore family will have a different proba-
bility of presence associated with each grassland type. exotic herbivores have primarily detrimental effects when
introduced to new areas (Barbar & Lambertucci, 2018;
Nuñez et al., 2010). However, the differing and combined
effects of exotic and native herbivores on ecosystems
requires further research to better inform biodiversity
conservation and effective herbivore management (Davis
et al., 2016; Foster et al., 2014; Nuñez et al., 2010). The impacts of herbivores on ecosystem characteris-
tics, such as habitat structure, species assemblages, and
soils, are numerous and nuanced, often influenced by cli-
mate
and
grazing
history
(Eldridge,
Ding,
&
Travers, 2020; Sitters et al., 2020; Spake et al., 2020). For
example, livestock grazing is used to maintain high-
elevation grasslands for conservation and agriculture in
some
regions
with
a
long
history
of
herbivory
(e.g., Komac et al., 2014; Pakeman et al., 2019). However,
in ecosystems that evolved in the absence of grazing,
native species can lack defensive traits, and ecosystems
may be vulnerable to the impacts of exotic herbivores
(Antonelli et al., 2011; Bailey & Schweitzer, 2010). 2. 2. 1. Are landscape elements associated with: (a) herbivore
presence and (b) total herbivore activity? (2014) identified exotic species as the
most pressing threat to ecosystems in the Alps and rec-
ommended control of invasive species populations. Man-
agement of exotic herbivore populations can be guided by
understanding herbivore habitat use and spatial variation
in the effects of herbivory (Foster et al., 2014, 2021). How-
ever, the associations between herbivore activity and land-
scape elements have not been investigated in the Alps. 1
|
INTRODUCTION globally, with livestock now 14 times more abundant
than wildlife per unit mass (Gordon & Prins, 2019). While
native
herbivores
may
play
key
roles
in
maintaining
biodiversity
and
ecosystem
functions
(Gordon & Prins, 2019), there is strong evidence that Invasive species are a major contributor to ecosystem
degradation and their impacts are accelerating (Pyšek
et al., 2020). Exotic herbivore numbers are increasing wileyonlinelibrary.com/journal/csp2 1 of 11 2.2
|
Experimental design FIGURE 1
Study area, showing site locations (x) within
Kosciuszko National Park (shaded gray). Dashed lines show
jurisdiction boundaries. Inset shows location of study area within
Australia We established 67 sites, each composed of one 50 m tran-
sect, to quantify herbivore presence and activity. We used
a stratified random sampling design to select sites by
overlaying a 15 km2 grid onto a map of Kosciuszko
National Park. We excluded grid cells containing less
than 10% grassland (identified from satellite imagery) or
less than 10% area above 1200 m a.s.l. We excluded areas
beyond 300 m from a vehicle track, burnt in the preced-
ing year, or subject to access restrictions or disturbance
from infrastructure development. We randomly selected
locations using a random number generator to provide
distance measures from the northwest corner of each grid
cell. If randomly located sites were not in grasslands, on
a northern or minor slope, or separated by a minimum of
800 m, we moved the site to the nearest suitable location. FIGURE 1
Study area, showing site locations (x) within
Kosciuszko National Park (shaded gray). Dashed lines show
jurisdiction boundaries. Inset shows location of study area within
Australia Kosciuszko National Park, supporting several endemic and
threatened flora species (McDougall & Walsh, 2007). The
landscape includes broad, flat valleys, and steep slopes with
diverse climates (Doherty, Wright, & McDougall, 2015;
McDougall & Walsh, 2007). Annual precipitation ranges
from 770 mm in subalpine areas to 3100 mm in alpine
areas (Green & Osborne, 2012). Areas above 1200 m a.s.l. receive regular winter snow, and above 1400 m a.s.l., the
snow
often
persists
for
several
months
(McDougall
et al., 2015). All sites, except two, were dominated by grass (>60%
overlapping cover; predominantly Poa spp.). We catego-
rized the grassland type at each site according to whether
(i) a midstorey was present (“shrub grassland”), (ii) a
midstorey was absent and there was greater than 15%
nongrass graminoid cover (“graminoid grassland”), or
(iii) a midstorey was absent and there was less than 15%
nongrass graminoid cover (“tussock grassland”). Our sites
were between 1220 and 1951 m elevation, and spanned
gradients of landscape attributes (landscape position, dis-
tance from the nearest waterbody, distance from the
nearest road or track, distance from the nearest wood-
land, latitude, and longitude) and herbivore activities
(see Supporting Information S1, Figure S1.1–2). 3 of 11 HARTLEY ET AL. 2.2
|
Experimental design )
Only two native mammalian herbivores regularly
graze in grasslands above 1500 m a.s.l.; Mastacomys
fuscus (Thomas 1882 broad-toothed rat) and Vombatus
ursinus
(Shaw
1800
common
wombat)
(Green
&
Osborne, 2012). However, the reduction in snow depth
and duration in recent decades due to climate change has
facilitated macropod and wombat range expansions
(Green, 2016; Matthews & Spooner, 2014). Domestic live-
stock grazing by sheep and cattle occurred in Kosciuszko
National Park from the early 1800s until 1967 (Good &
Johnston, 2019). Horse, rabbit, and hare populations had
established by the late 1800s (Dyring, 1990; Leigh
et al., 1987). However, by the late 1900s, rabbits were res-
ident throughout the year and associated with significant
changes in vegetation in subalpine grasslands, while
horses
and
hares
remained
infrequent
occupants
(Green & Osborne, 2012; Leigh et al., 1987). Deer were
first observed in Kosciuszko National Park in the 1990s
but not recorded in high-elevation grasslands until 2008
(T. Stubbs personal communication, January 2021). The
New South Wales government has legislative responsibil-
ities to manage invasive species in Kosciuszko National
Park (Biosecurity Act, 2015; Kosciuszko Wild Horse
Heritage Bill, 2018) and in 2020, undertook 23 Asset Pro-
tection and Containment programs to manage exotic
herbivores (NSW National Parks and Wildlife Service
unpublished data). 3 of 11 3 o 2.1
|
Study area We conducted this study in the high-elevation grasslands
of Kosciuszko National Park (Figure 1), a 690,660 ha
United Nations Educational Scientific and Cultural Organi-
zation (UNESCO) Biosphere Reserve on Dtjilmamidtang,
Ngarigo, and Walgalu Country in south-eastern Australia
(Doherty, Wright, & McDougall, 2015; UNESCO, 2019). Treeless vegetation communities total almost 90,000 ha of To address these key research gaps, we examined the
following questions: 4 of 11 HARTLEY ET AL. (kPa) at 20 points along the transect using a handheld
penetrometer according to manufacturer specifications
(ST 315, Prospectors, Australia). As soil moisture can
affect soil compaction, we classified the soil as wet or dry
at the time of measurement according to whether soil
stuck to our fingers upon touch. combined). We used a BGLM with a negative binomial
distribution and a log link function. We selected the best-
fitting model from all possible models (64 candidate
models; Table S3.6e). We quantified associations between vegetation and
soil variables and observed herbivore sign at each site. We modeled each response variable (mean groundstorey
vegetation height, foliage density, forb cover, weed cover,
proportion of bare ground, and soil compaction) with
total herbivore activity on the log scale as the predictor
variable. We
then
modeled
horse
(Equidae),
deer
(Cervidae), rabbit and hare (Leporidae), and kangaroo
and wallaby (Macropodidae) activities on the log scale as
additive predictor variables. We selected the best-fitting
model from all possible models (17 candidate models;
Table S4.7). For each analysis, we fit BGLM using a
Gamma distribution for continuous response variables
(vegetation height, foliage density, soil compaction) and a
Beta distribution for proportion response variables (forbs,
weeds, bare ground). We considered a “herbivore” to be any mammal with
a diet consisting primarily of plant material. We used a
relative index of evidence of herbivory, quantified by the
frequency of herbivore sign at each site. We calculated
herbivore activity by recording the presence or absence of
herbivore sign, such as scats and diggings, within each
half of a 2 m radius plot at 5 m intervals along the tran-
sect to give a frequency measure (out of 20) per sign type
(Forsyth et al., 2007; Hone, 2002). We moved elevated
vegetation but did not disturb the litter layer or dense
ground cover to uncover sign. We classified sign types to
family according to Triggs (1996) and Claridge (2016b),
as species-level differences between sign cannot always
be reliably distinguished. We classified worn paths, con-
sumed vegetation, and pulled vegetation as “generic". We
did not include pellets with evidence of decay, nor did we
convert indices to animal densities (Forsyth et al., 2007). We conducted all surveys within a 4-week period, in
February and March 2020, to minimize seasonal and
weather variability between sites. At this time, snow
cover was absent and mammal populations were likely to
be occupying their maximal elevational ranges within the
bounds of their current distribution (Foster et al., 2021). Vegetation and soil variables may be associated with
landscape elements; for example, plant height and weed
species richness generally decline with increasing eleva-
tion (Green, 2016; McDougall & Walsh, 2007). We
checked for Pearson and Spearman correlations between
vegetation and soil variables and landscape elements
using a two-sided t-test with the “cor.test” function in the
R package “stats” (R Core Team, 2020). While herbivory
has the potential to mask underlying associations, we
found that weed cover and soil compaction were signifi-
cantly (negatively) correlated with elevation (Figure S1.2
and Table S1.1). 2.3
|
Data collection methods We derived landscape elements from publicly available
spatial datasets. These included elevation (m a.s.l.), land-
scape position (Topographic Wetness Index), distance
from the nearest waterbody (m), distance from the
nearest road or track (m), and distance from the nearest
woodland (m) (see Supporting Information S2 for source
information). We manually corrected a small number of
distance measures where elements were present on-
ground but not captured by the spatial classification. Along each 50 m transect, we recorded the over-
lapping percent cover of nongrass graminoids, shrubs,
forbs (native and exotic combined), grasses, weeds (exotic
flora, all forms) and bare ground within circular plots of
2 m radius at 10 m intervals. We calculated the mean
groundstorey vegetation height (cm) and foliage density
(number of foliage intercepts in 10 cm bands of a struc-
ture pole up to 50 cm), excluding flowering parts, for
each site. We measured soil compaction in kilopascals FIGURE 2
Relative contribution of each herbivore family FIGURE 2
Relative contribution of each herbivore family FIGURE 2
Relative contribution of each herbivore family
(continuous segment borders) and generic (dashed segment
borders) sign to total herbivore activity across all sites. The shading
shows the proportion of native (white) and exotic (gray) herbivore
activity contributing to each sign type. Herbivores with the
potential to contribute to each generic sign are listed in parentheses
(Claridge, 2016a; Leigh et al., 1987; Triggs, 1996; Green &
Osborne, 2012; Green et al., 2013, 2014; Eldridge et al., 2019; Schulz
et al., 2019). The proportion of native and exotic herbivores within
generic sign segments is inferred from the proportion of each
herbivores' contribution to nongeneric sign. Roll pits and pugging
(horses, deer, pigs; 0.08%), unidentified sign (0.17%), and broad-
toothed rat sign (0.08%) are included but not visible in the chart
due to their small contributions 3.1
|
Distribution of herbivore families We detected herbivore sign (exotic and native) at 98.5%
of sites; with exotic species at 94.0% of sites, and native
species at 32.8% of sites. Exotic and native herbivores
co-occurred at 28.4% of sites. Exotic herbivores were rep-
resented
by
more
families
than
native
herbivores
and contributed the majority of the herbivore activity
(Figure
2). For
native
herbivores,
we
detected
Macropodidae (Macropus giganteus Shaw 1790 eastern
gray kangaroo, Macropus rufogriseus Desmarest 1817 red-
necked wallaby), Vombatidae (common wombat), and
Muridae (broad-toothed rat) sign. For exotic herbivores, 2.4
|
Statistical analyses We conducted all BGLM in R (R Core Team, 2020),
using the package “brms” (Bürkner, 2017) and an unin-
formative prior distribution using a student-t distribution
(df = 7, mean = 0, SD = 2.5). We used Markov chain
Monte Carlo (MCMC) methods and the Gelman–Rubin
convergence diagnostic (Ȓ) based on four MCMC chains
(Gelman & Rubin, 1992). For all models, Ȓ was equal to
1.00. We used four Markov chains and ran them for 2000
iterations discarding the first 1000 as a burn-in with a
thinning factor of 1. Where we performed model selec-
tion, we used the Widely Applicable Information Crite-
rion (WAIC) (Vehtari et al., 2017a, 2017b) to select the
best-fitting model from the candidate models. Where the
difference in the WAIC of the best-fitting models was <1,
we selected the most parsimonious model. We checked
for multicollinearity in all models with multiple predictor
variables using the ‘car’ package to calculate the Vari-
ance Inflation Factor (Fox & Weisberg, 2019). No values
for the Generalized Variance Inflation Factor were ≥2. We used the “DHARMa” package to check the residuals
for model fit and evidence of nonlinearity (Hartig & When included as predictor variables in models, we log-
transformed distance and sign frequency to minimize the
effect of extreme values. Prior to log transformation, we
added a small value to the zero values to avoid taking the
logarithm of zero. We excluded two sites from soil com-
paction analyses and one site from height analyses due to
missing data. We standardized data for continuous pre-
dictor variables (mean = 0, SD = 1). We modeled the probability of presence of each
herbivore family using a Bayesian Generalized Linear
Model (BGLM) (Gelman et al., 2013) with a Bernoulli dis-
tribution and a logistic link function. We included the
following predictor variables: elevation, log-distance to
woodland, log-distance to a waterbody, log-distance to a
road or track, landscape position, and grassland type. We
selected the best-fitting model (see below for details) from
all possible models (64 candidate models; Table S3.6a–d). Using the same predictor variables, we examined
associations between landscape elements and total herbi-
vore activity (all herbivore families and generic sign HARTLEY ET AL. 5 of 11 Lohse, 2020). We found no clear indications of non-
linearity and therefore did not investigate alternative
functions. We conducted post hoc calculations of esti-
mated marginal means and pairwise comparisons using
the R package “emmeans” (Lenth et al., 2018). we detected the sign of Equidae (Equus caballus Linnaeus
1758 domesticated horse), Cervidae (Cervus unicolor Kerr
1792 sambar deer and Dama dama Linnaeus 1758 fallow
deer), Suidae (Sus scrofa Linnaeus 1758 pig), and Leporidae
(Lepus
europaeus
Pallas
1778
European
hare
and
Oryctolagus cuniculus Linnaeus 1758 European rabbit). We
detected rabbit and hare sign at the highest number of sites
(85%), followed by horse (42%), deer (30%) and kangaroo
and wallaby (28%) sign. The elevation range was greatest
for the rabbits and hares (1221–1951 m a.s.l.), followed by
deer (1221–1750 m), horses (1253–1721 m), and kangaroos
and wallabies (1256–1537 m). Pigs, wombats, and broad-
toothed rats were present at less than 10% of sites and we
therefore excluded them from family-level statistical ana-
lyses. We detected horses, deer, rabbits and hares, and kan-
garoos and wallabies with each of the other families at
three or more sites (Table S1.1). we detected the sign of Equidae (Equus caballus Linnaeus
1758 domesticated horse), Cervidae (Cervus unicolor Kerr
1792 sambar deer and Dama dama Linnaeus 1758 fallow
deer), Suidae (Sus scrofa Linnaeus 1758 pig), and Leporidae
(Lepus
europaeus
Pallas
1778
European
hare
and
Oryctolagus cuniculus Linnaeus 1758 European rabbit). We
detected rabbit and hare sign at the highest number of sites
(85%), followed by horse (42%), deer (30%) and kangaroo
and wallaby (28%) sign. The elevation range was greatest
for the rabbits and hares (1221–1951 m a.s.l.), followed by
deer (1221–1750 m), horses (1253–1721 m), and kangaroos
and wallabies (1256–1537 m). Pigs, wombats, and broad-
toothed rats were present at less than 10% of sites and we
therefore excluded them from family-level statistical ana-
lyses. We detected horses, deer, rabbits and hares, and kan-
garoos and wallabies with each of the other families at
three or more sites (Table S1.1). 3.2
|
Landscape elements associated
with each herbivore family We present the associations between landscape elements
and each herbivore family derived from the best-fitting
models in Figure 3a–h (see Tables S1.3a and S1.4a for
details). The probability of horse presence increased as
elevation decreased and as distance to water increased. The probability of deer presence was lower in graminoid
grasslands than in shrub or tussock grasslands. The prob-
ability of deer presence also increased as elevation
increased, and as distance from a waterbody decreased. The probability of rabbit and hare presence increased as
distance from a waterbody increased. The probability of
kangaroo and wallaby presence increased as elevation
decreased, and was lower in shrub and tussock grass-
lands. The probability of presence of any family was not
significantly related to the log-distance to roads and
tracks, log-distance to woodland or landscape position. However, we note that the range of distances to roads
and tracks sampled in our study was limited to achieve
rigorous sampling across a large spatial scale, and there-
fore associations between roads and herbivore presence
warrant further investigation across a greater range of
distances. 3.3
|
Landscape elements associated
with total herbivore activity 6 of 11 0.2
0.4
0.6
0.8
1400 1600 1800
Elevation (m a.s.l.)
Probability of deer presence
(c)
Probability of deer presence
0.2
0.4
0.6
0.8
1400 1600 1800
Elevation (m a.s.l.)
Probability of kangaroo/wallaby presence
(g)
Probability of kangaroo/wallaby presence Probability of deer presence 0.2
0.4
0.6
0.8
gr
sh
tu
G
l
d t
Probability of deer presence
(d)
ce (b) (c) Probability of rabbit/hare presence Probability of kangaroo/wallaby prese (f) Probability of kangaroo/wallaby pres y (
)
20
40
60
1400
1600
1800
Elevation (m a.s.l.)
Total herbivore activity (index)
(i) 20
40
60
gr
sh
tu
Grassland type
Total herbivore activity (index)
(j) Total herbivore activity (index) Total herbivore activity (in FIGURE 3
Associations between the probability of presence of each herbivore family (y-axes, a–h) and total herbivore activity
(y-axes, i–j), and landscape elements (x-axes) derived from the best-fitting models. Grassland types are graminoid (gr), shrub (sh), and
tussock (tu). Gray shading and error bars represent the upper and lower 95% credible intervals decreased. Total herbivore activity was greater in tussock
grasslands than in graminoid grasslands. Total herbivore
activity in shrub grasslands did not differ significantly
from tussock or graminoid grasslands. and hare activity increased. Soil compaction increased as
horse activity increased. Soil compaction was not associ-
ated with soil moisture at the time of sampling. None of the response variables was significantly
related to deer or kangaroo and wallaby activity. 3.3
|
Landscape elements associated
with total herbivore activity We present the associations between landscape elements
and total herbivore activity derived from the best-fitting
model in Figure 3i,j) (see Tables S1.3b and S1.4b for
details). Total herbivore activity increased as elevation 0.2
0.4
0.6
0.8
1400 1600 1800
Elevation (m a.s.l.)
Probability of horse presence
(a)
0.2
0.4
0.6
0.8
100
200
300
Nearest waterbody (m)
Probability of horse presence
(b)
0.2
0.4
0.6
0.8
1400 1600 1800
Elevation (m a.s.l.)
Probability of deer presence
(c)
0.2
0.4
0.6
0.8
gr
sh
tu
Grassland type
Probability of deer presence
(d)
0.2
0.4
0.6
0.8
100
200
300
Nearest waterbody (m)
Probability of deer presence
(e)
0.2
0.4
0.6
0.8
100
200
300
Nearest waterbody (m)
Probability of rabbit/hare presence
(f)
0.2
0.4
0.6
0.8
1400 1600 1800
Elevation (m a.s.l.)
Probability of kangaroo/wallaby presence
(g)
0.2
0.4
0.6
0.8
gr
sh
tu
Grassland type
Probability of kangaroo/wallaby presence
(h)
20
40
60
1400
1600
1800
Elevation (m a.s.l.)
Total herbivore activity (index)
(i)
20
40
60
gr
sh
tu
Grassland type
Total herbivore activity (index)
(j)
FIGURE 3
Associations between the probability of presence of each herbivore family (y-axes, a–h) and total herbivore activity
(y-axes, i–j), and landscape elements (x-axes) derived from the best-fitting models. Grassland types are graminoid (gr), shrub (sh), and
tussock (tu). Gray shading and error bars represent the upper and lower 95% credible intervals
6 of 11
HARTLEY ET AL. 0.2
0.4
0.6
0.8
1400 1600 1800
Elevation (m a.s.l.)
Probability of horse presence
(a)
0.2
0.4
0.6
0.8
100
200
300
Nearest waterbody (m)
Probability of horse presence
(b)
0. 0. 0. 0. Probability of deer presence
0.2
0.4
0.6
0.8
100
200
300
Nearest waterbody (m)
Probability of deer presence
(e)
0.2
0.4
0.6
0.8
100
200
300
Nearest waterbody (m)
Probability of rabbit/hare presence
(f)
0. 0. 0. 0. Probability of kangaroo/wallaby presence
6 of 11 HARTLEY ET AL. 4
|
DISCUSSION 7 of 11 x)
30
40
50
5
10
15
20
Horse activity (index)
Foliage density <50cm
(c)
30
40
50
5
10
15
20
Rabbit/hare activity (index)
Foliage density <50cm
(d)
7 of 11 HARTLEY ET AL. 7 of 11 10
15
20
25
5
10
15
20
Horse activity (index)
Vegetation height (cm)
(a)
10
15
20
25
5
10
15
20
Rabbit/hare activity (index)
Vegetation height (cm)
(b)
30
40
50
5
10
Horse act
Foliage density <50cm
(c) Horse activity (index) Horse activity (index)
0.00
0.01
0.02
10
20
Rabbit/hare activity (index)
Proportion of bare ground
(g) y (
)
0.1
0.2
0.3
5
10
15
20
Horse activity (index)
Proportion of forb cover
(e) y (
)
0.0
0.1
0.2
20
40
60
80
Total herbivore activity (index)
Proportion of weed cover
(f) 1
2
5
10
15
Horse activity (index)
p
(
)
(h) Proportion of bare ground (h) Proportion of weed cover (g) (e) Soil compaction (kPa) Total herbivore activity (index) FIGURE 4
Associations between the vegetation and soil response variables (y-axes) and the relative indices of herbivore activity (x-axes)
derived from the best-fitting models. Gray shading represents the upper and lower 95% credible intervals Schweitzer, 2010; Milchunas & Lauenroth, 1993; Spear &
Chown, 2009). Consistent with studies in high-elevation
grasslands around the world (Davies & Boyd, 2019; Lu
et al., 2017; Schütz et al., 2003), our results demonstrate an
association between exotic herbivore taxa and lower grass-
land height, lower foliage density, greater forb and weed
covers, and greater soil compaction; characteristics that
may result in substantial negative impacts on biodiversity
and grassland ecosystems. Schweitzer, 2010; Milchunas & Lauenroth, 1993; Spear &
Chown, 2009). Consistent with studies in high-elevation
grasslands around the world (Davies & Boyd, 2019; Lu
et al., 2017; Schütz et al., 2003), our results demonstrate an
association between exotic herbivore taxa and lower grass-
land height, lower foliage density, greater forb and weed
covers, and greater soil compaction; characteristics that
may result in substantial negative impacts on biodiversity
and grassland ecosystems. wallaby establishment on sites at higher elevations in
the future (Boone, 2019; but see Green, 2016). Deer were more likely to occur in shrub and tussock
grasslands and closer to waterbodies. 4.1
|
Are landscape elements associated
with herbivore presence? Each herbivore family had an association with one or
more landscape element. As elevation increased, the
probability of deer presence increased, while the proba-
bility of horse and kangaroo and wallaby presence
decreased. Kangaroos and wallabies are restricted to ele-
vations with little or no snow cover due to their diet and
locomotion (Green, 2016). The presence of exotic herbi-
vores at higher elevations than kangaroos and wallabies
(1540 m a.s.l.) suggests exotic herbivores have a greater
ability to either migrate to higher elevations during
snow-free periods, or move through snow and consume
exposed woody browse (Green et al., 2014). The continu-
ing reduction of snow cover (Green & Pickering, 2013)
and increase in temperatures with climate change may
facilitate
grassland
grazing
in
winter
(Giroux
et al., 2016) and enable horse, deer, kangaroo, and 4
|
DISCUSSION Previous investiga-
tions of the impacts of deer (e.g., Brown et al., 2016;
Claridge, 2016a) and horses (e.g., Foster & Scheele, 2019;
Robertson et al., 2019) in our study region have often
focused on waterbodies. However, our study showed there
was a greater probability of horse presence away from,
rather than close to, waterbodies. These findings do not
detract from evidence of damage to waterbodies associated
with horses, rather they highlight the potential for less visi-
ble
impacts
away
from
the
soft
soils
adjacent
to
waterbodies and the need to assess impact across the land-
scape. The probability of rabbit and hare presence also
increased further from waterbodies. The establishment of
rabbits and hares throughout the study area is consistent
with observations that these species have been successful
invaders of ecosystems worldwide, largely due to their
rapid dispersal and reproduction, diverse diet and ability to
adapt to harsh conditions (Barbar & Lambertucci, 2018;
Courchamp et al., 2003; Foster et al., 2021). 4
|
DISCUSSION 4 We present the associations between vegetation and soil
variables and log-herbivore activity derived from the
best-fitting models in Figure 4 (see Table S1.5 for details). Vegetation height and foliage density both decreased
with increasing horse and rabbit and hare activity. Forb
cover increased as horse activity increased. Weed cover
increased as total herbivore activity increased. There was
little bare ground recorded across the sites, with a mean
proportion of <0.01 cover (min = 0, max = 0.18). How-
ever, the proportion of bare ground increased as rabbit Using a landscape-scale, multispecies study, we show that
exotic taxa are the dominant mammalian herbivores in
Australian high-elevation grasslands. Native herbivore sign
was detected at approximately one-third of sites, primarily
below 1540 m a.s.l. In contrast, exotic herbivores were
almost ubiquitous across the study grasslands, which have
evolved largely in the absence of grazing (Green &
Osborne, 2012). A lack of shared coevolutionary history
indicates that such grasslands are likely to be highly vul-
nerable to grazing impacts (Antonelli et al., 2011; Bailey & 10
15
20
25
5
10
15
20
Horse activity (index)
Vegetation height (cm)
(a)
10
15
20
25
5
10
15
20
Rabbit/hare activity (index)
Vegetation height (cm)
(b)
30
40
50
5
10
15
20
Horse activity (index)
Foliage density <50cm
(c)
30
40
50
5
10
15
20
Rabbit/hare activity (index)
Foliage density <50cm
(d)
0.1
0.2
0.3
5
10
15
20
Horse activity (index)
Proportion of forb cover
(e)
0.0
0.1
0.2
20
40
60
80
Total herbivore activity (index)
Proportion of weed cover
(f)
0.00
0.01
0.02
10
20
Rabbit/hare activity (index)
Proportion of bare ground
(g)
1
2
5
10
15
Horse activity (index)
Soil compaction (kPa)
(h)
FIGURE 4
Associations between the vegetation and soil response variables (y-axes) and the relative indices of herbivore activity (x-axes)
derived from the best-fitting models. Gray shading represents the upper and lower 95% credible intervals
HARTLEY ET AL. 7 of 11 10
15
20
25
5
10
15
20
Horse activity (index)
Vegetation height (cm)
(a)
10
15
20
25
5
10
15
20
Rabbit/hare activity (index)
Vegetation height (cm)
(b)
30
40
50
5
10
15
20
Horse activity (index)
Foliage density <50cm
(c)
30
40
50
5
10
15
20
Rabbit/hare activity (index)
Foliage density <50cm
(d)
HARTLEY ET AL. 4.3
|
Recommendations for management
and policy The wide distribution of exotic herbivores in the Alps
highlights the need for landscape-scale management,
accounting for emigration and dispersal. Priority should
be given to removal of horses and deer from elevations
above 1500 m a.s.l. where ecosystems evolved with lim-
ited mammalian grazing (Costin et al., 1982). Their
impacts also should be greatly reduced in all other areas. Although we found no significant associations between
deer and grassland characteristics, this may be a result of
their relatively recent invasion of the region. There is evi-
dence that even small populations of exotic horses
(Driscoll et al., 2019) and deer (Tanentzap et al., 2009)
can heavily impact ecosystems, and eradication is there-
fore likely to be the most appropriate management goal
(Prior et al., 2018). As leporids are almost ubiquitous,
population suppression should be prioritized in areas of
high conservation significance, such as where competi-
tion with threatened species occurs, and above the
treeline where ecosystems are most threatened by climate
change and species endemism is high (Doherty, Wright, &
McDougall, 2015). Leporids can support exotic predator
persistence in habitats that are otherwise marginal for
the predators, or increase exotic predator abundance
(Courchamp et al., 2003; Foster et al., 2021). Exotic pred-
ator suppression may need to accompany leporid control
to limit “prey-switching” in habitats with conservation-
significant fauna (Doherty, Dickman, et al., 2015). As the
major contributors to total herbivore activity, we recom-
mend leporid and horse population control be prioritized
in areas where weed cover or weed invasion are of man-
agement concern. 4.2.1
|
Is activity of exotic and native
herbivores associated with a more simple
vegetation structure, differences in vegetation
composition and higher soil compaction? 4.2.1
|
Is activity of exotic and native
herbivores associated with a more simple
vegetation structure, differences in vegetation
composition and higher soil compaction? Our study is consistent with research from other regions
showing exotic horse activity is associated with lower
vegetation height and density, and higher forb cover and
soil compaction in grasslands (Beever et al., 2018; de
Villalobos & Schwerdt, 2020). Soil compaction can alter
plant composition and hinder plant growth by reducing
gas exchange and water infiltration (Czortek et al., 2018;
Pineiro et al., 2010). HARTLEY ET AL. vegetation composition (Pyšek et al., 2020) simplify struc-
ture, and reduce habitat suitability for native fauna (Sato
et al., 2014), in high-elevation grasslands. considerably greater than of native herbivore sign. The
higher total herbivore activity at lower elevations is
unsurprising, as snow cover is ephemeral and herbivore
populations can persist throughout the winter (Green
et al., 2014). The greater total herbivore activity associ-
ated with tussock grasslands is of significance to land
managers as tussock grasslands are habitat for threatened
species, such as Max Mueller's burr-daisy (Calotis pub-
escens Muell. Ex Benth., Walsh & McDougall 2002)
(McDougall & Walsh, 2007) and the broad-toothed rat,
which depends on large, dense native grasses (Eldridge
et al., 2019) for shelter. 4.2
|
Are landscape elements associated
with total herbivore activity? Total herbivore activity was associated with elevation
and grassland type, and the contribution of exotic herbi-
vore sign to the measure of total herbivore activity was 8 of 11 REFERENCES Alexander, J. M., Lembrechts, J. J., Cavieres, L. A., Daehler, C.,
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https://orcid.org/0000-0002-2438-2053 Renée Hartley
https://orcid.org/0000-0002-2438-2053
David B. Lindenmayer
https://orcid.org/0000-0002-
4766-4088 David B. Lindenmayer
https://orcid.org/0000-0002-
4766-4088 Chloe Sato
https://orcid.org/0000-0001-7707-5068
Ben C. Scheele
https://orcid.org/0000-0001-7284-629X Daskin, J. H., & Pringle, R. M. (2016). Does primary productivity
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meta-analysis. The Journal of Animal Ecology, 85(4), 857–868. https://doi.org/10.1111/1365-2656.12522 ACKNOWLEDGMENTS Cairns, S. (2019). Feral horses in the Australian Alps: The analysis of
aerial surveys conducted in April–May, 2014 and April–May
2019. Armidale. The authors acknowledge the Djilamatang, Ngambri,
Ngarigo, Ngunnawal, Ngunawal, Walgalu, and Wiradjuri
people as the Traditional Custodians of the lands on
which this study was conducted. The authors thanks Rob
Gibbs, Nick Clemann, Geoffrey Robertson, and Dr
Gillian Fuller for invaluable advice, local knowledge, and
field assistance. Claridge, A. W. (2016a). Ecological and agricultural impacts of
introduced deer in the Australian Alps. A final report to the
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the Australian Alps. Queanbeyan, New South Wales. https://
theaustralianalps.files.wordpress.com/2018/03/0012-introduce
d-deer-field-identification-guide-2016.pdf. DATA AVAILABILITY STATEMENT Courchamp, F., Chapuis, J. L., & Pascal, M. (2003). Mammal
invaders on islands: Impact, control and control impact. Biolog-
ical Reviews of the Cambridge Philosophical Society, 78, 347–383. https://doi.org/10.1017/S1464793102006061 Data will be published on Dryad upon acceptance for
publication; https://datadryad.org/stash. Data will be published on Dryad upon acceptance for
publication; https://datadryad.org/stash. 4.3
|
Recommendations for management
and policy Grazing by horses in the Alps differs
most notably from domestic livestock grazing because
there is no rest period to allow plants to complete their
lifecycle, resulting in the potential extirpation of native
species (Davies & Boyd, 2019). The resulting changes in
grassland structure and composition can have cascading
community-level
impacts
and
negatively
impact
on
threatened species (Daskin & Pringle, 2016; Eldridge
et al., 2019; Vandegehuchte et al., 2017). Similarly, vege-
tation height and density decreased and bare ground
increased with greater rabbit and hare activity. Rabbits
and hares can reduce biodiversity by removing palatable
native flora before such impacts on plant structure are
detected (Mutze et al., 2016). Further, exposed soils can
lead
to
a
shift
from
grasslands
to
shrublands
(McDougall & Walsh, 2007). Therefore, uncontrolled rab-
bit and hare populations could result in long-term loss of
biodiversity and grassland ecosystems. We recommend strategic, long-term, and landscape-
scale exotic herbivore management, integrated with weed
and exotic predator management and accounting for cli-
mate change. Specific aims should be to: (i) suppress or
eradicate exotic herbivores from ecosystems that did not
evolve
with
analogous
herbivory
(Norris,
2018),
(ii) prevent expansion and establishment of new exotic
herbivore populations, (iii) reduce total herbivore activity
in all areas by focusing efforts on major exotic contribu-
tors, and (iv) protect areas of high conservation value to
avoid loss of native species. Long-term monitoring of her-
bivore management activities is needed to assess whether
management goals for ecosystems are being met (Prior
et al., 2018). We found weed cover was best explained by total her-
bivore activity. While mountain plant communities tend
to be resistant to weed invasion largely due to climatic fil-
tering and fewer disturbances, this result suggests the
cumulative impacts of multiple herbivore taxa provides
the necessary disturbance to facilitate weed establish-
ment (Alexander et al., 2016). Under a warming climate,
this facilitation may extend to higher elevations. High
weed cover can reduce native plant species richness, alter HARTLEY ET AL. 9 of 11 CONFLICT OF INTEREST The authors do not have conflicts of interest to declare. The authors do not have conflicts of interest to declare. Costin, A., Gray, M., Totterdell, C. J., & Wimbush, D. J. (1982). Kosciuszko Alpine flora. CSIRO and William Collins Pty Ltd. DATA AVAILABILITY STATEMENT
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DOI:
10.18087/cardio.2401
Мареев В. Ю.1, Мареев Ю. В.2, 3
1 – ФГБОУ ВО «МГУ им. М. В. Ломоносова», 119991, Москва, ГСП-1, Ленинские горы, д. 1
2 – ФГБУ «Национальный медицинский исследовательский центр профилактической медицины» МЗ РФ,
101990, Москва, Петроверигский пер., д. 10, стр. 3
3 – «Робертсоновский центр биостатистики». Университет Глазго,
G12 8QQ, Великобритания, Глазго, Университетское Авеню, Здание Бойд Орр
Роль ЧСС в механизмах компенсации
и декомпенсации у больных с ХСН при синусовом
ритме и фибрилляции предсердий и методы
безопасного и эффективного контроля сердечного
ритма. Часть 2. Фибрилляция предсердий
Ключевые слова: хроническая сердечная недостаточность, частота сердечных сокращений,
синусовый ритм, фибрилляция предсердий, контроль сердечного ритма
Ссылка для цитирования: Мареев В. Ю., Мареев Ю. В. Роль ЧСС в механизмах компенсации и декомпенсации
у больных с ХСН при синусовом ритме и фибрилляции предсердий и методы безопасного и эффективного
контроля сердечного ритма. Часть 2. Фибрилляция предсердий. Кардиология 2017;57(S2):351–366
Резюме
Обзор литературы посвящен роли ЧСС у пациентов с сочетанием сердечной недостаточности и фибрилляции предсердий
и методам контроля ЧСС у этих пациентов.
Mareev V. Yu.1, Mareev Yu. V.2, 3
1 – M. V. Lomonosov Moscow State University, Leninskie Gory 1, GSP-1, Moscow 119991
2 – National Medical Research Center for Preventive Medicine, Petroverigskiy lane 10, Bldg. 3, Moscow 101990
3 – Robertson Centre for Biostatistics – University of Glasgow Boyd Orr Building University Avenue, Glasgow, Great Britain. G12 8QQ
Role of heart rate in mechanisms of compensation and decompensation in CHF
patients with sinus rhythm and atrial fibrillation and methods for safe
and efficient control of heart rhythm. Part 2. Atrial fibrillation
Keywords: chronic heart failure, heart rate, sinus rhythm, atrial fibrillation, control of heart rhythm
For citation: Mareev V. Yu., Mareev Yu. V. Role of heart rate in mechanisms of compensation and decompensation in CHF patients with sinus rhythm
and atrial fibrillation and methods for safe and efficient control of heart rhythm. Part 2. Atrial fibrillation. Kardiologiia. 2017;57(S2):351–366
Summary
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3 – «Робертсоновский центр биостатистики». Университет Глазго,
G12 8QQ, Великобритания, Глазго, Университетское Авеню, Здание This review focuses on the role of heart rate in patients with a combination of heart failure and atrial fibrillation and on methods for
heart rate control in such patients. This review focuses on the role of heart rate in patients with a combination of heart failure and atrial fibrillation and on methods for
heart rate control in such patients. Основными механизмами негативного влияния ФП
на прогноз больных ХСН являются: нарушение гемо‑
динамики ЛЖ (вследствие частого и нерегулярного
ритма), исчезновение предсердного гемодинамическо‑
го вклада и, наконец, возможное ухудшение миокарди‑
альной перфузии [11]. Также из‑за нарушения гемо‑
динамики левого предсердия возрастает риск тромбо‑
за его полости и тромбоэмболических осложнений. Важнейшая проблема эффективности и безопасности
современной антикоагулянтной терапии в улучшении
прогноза больных с ФП [12], особенно при ХСН, тре‑
бует специального рассмотрения и выходит за рамки
данной статьи [13–15]. Role of heart rate in mechanisms of compensation and decompensation in CHF
patients with sinus rhythm and atrial fibrillation and methods for safe
and efficient control of heart rhythm. Part 2. Atrial fibrillation Keywords: chronic heart failure, heart rate, sinus rhythm, atrial fibrillation, control of heart rhythm
For citation: Mareev V. Yu., Mareev Yu. V. Role of heart rate in mechanisms of compensation and decompensation in CHF patients with sinus rhythm
and atrial fibrillation and methods for safe and efficient control of heart rhythm. Part 2. Atrial fibrillation. Kardiologiia. 2017;57(S2):351–366 For citation: Mareev V. Yu., Mareev Yu. V. Role of heart rate in mechanisms of compensation and decompensation in CHF patients with sinus rhythm
and atrial fibrillation and methods for safe and efficient control of heart rhythm. Part 2. Atrial fibrillation. Kardiologiia. 2017;57(S2):351–366 Ключевые слова: хроническая сердечная недостаточность, частота сердечных сокращений,
синусовый ритм, фибрилляция предсердий, контроль сердечного ритма Ссылка для цитирования: Мареев В. Ю., Мареев Ю. В. Роль ЧСС в механизмах компенсации и декомпенсации
у больных с ХСН при синусовом ритме и фибрилляции предсердий и методы безопасного и эффективного
контроля сердечного ритма. Часть 2. Фибрилляция предсердий. Кардиология 2017;57(S2):351–366 ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§ ОБЗОРЫ
§ ОБЗОРЫ
§ DOI:
10.18087/cardio.2401 Резюме Обзор литературы посвящен роли ЧСС у пациентов с сочетанием сердечной недостаточности и фибрилляции предсердий
и методам контроля ЧСС у этих пациентов. Mareev V. Yu.1, Mareev Yu. V.2, 3 1 – M. V. Lomonosov Moscow State University, Leninskie Gory 1, GSP-1, Moscow 119991 . V. Lomonosov Moscow State University, Leninskie Gory 1, GSP-1, Moscow 119991
ational Medical Research Center for Preventive Medicine, Petroverigskiy lane 10, Bldg. 3, Moscow 101990 M. V. Lomonosov Moscow State University, Leninskie Gory 1, GSP 1, Moscow 119991
2 – National Medical Research Center for Preventive Medicine, Petroverigskiy lane 10, Bldg. 3, Moscow 1 2 – National Medical Research Center for Preventive Medicine, Petroverigskiy lane 10, Bldg. 3, ,
g
y
,
g
,
obertson Centre for Biostatistics – University of Glasgow Boyd Orr Building University Avenue, Glasgow, G Role of heart rate in mechanisms of compensation and decompensation in CHF
patients with sinus rhythm and atrial fibrillation and methods for safe
and efficient control of heart rhythm. Part 2. Atrial fibrillation Роль ЧСС в механизмах компенсации
и декомпенсации у больных с ХСН при синусовом
ритме и фибрилляции предсердий и методы
безопасного и эффективного контроля сердечного
ритма. Часть 2. Фибрилляция предсердий Ключевые слова: хроническая сердечная недостаточность, частота сердечных сокращений,
синусовый ритм, фибрилляция предсердий, контроль сердечного ритма Введение В
предыдущей статье мы начали разговор о роли ЧСС
у пациентов с ХСН [1]. В прошлый раз акцент был
сделан на синусовом ритме, а сейчас речь пойдет о паци‑
ентах с фибрилляцией предсердий (ФП). В
п
у У пациентов с ХСН ФП является самой распростра‑
ненной аритмией. В среднем у 30–40 % пациентов с ХСН
основным ритмом сердца является ФП, а среди пациен‑
тов с III–IV ФК число пациентов с ФП, по данным ряда
работ, может достигать 50 % [2–7]. Еще большое число
пациентов может иметь пароксизмальную форму ФП [8]. При этом пациенты с ФП имеют выраженные особенно‑
сти и требует специфических подходов к лечению [9, 10]. 351 ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§ А вот вопрос о целесообразности и вариантах контро‑
ля ЧСС у больных с ХСН и постоянной формой ФП мы
проанализируем подробно, т. к. гемодинамические нару‑
шения и потенциальное ухудшение миокардиальной пер‑
фузии напрямую связаны с ЧСС и регулярностью ритма
у пациентов с ХСН и постоянной формой ФП. кардиологии (2005–2008 гг.), получавших оптимальную
современную терапию ХСН, как и в обсервационном
исследовании в Великобритании [22, 23]. Анализ данных Фрамингемского исследования проде‑
монстрировал, что предшествующая ХСН отрицательно
влияет на прогноз больных с ФП, в то время как нали‑
чие ФП не ассоциируется с увеличенным риском смерти
пациентов с ХСН [24]. Более того, ряд анализов, прове‑
денных у пациентов, ожидающих трансплантации сердца,
также не выявил увеличения риска смерти у пациентов
с ФП в сравнении с синусовым ритмом [25]. Мета-анализ
исследований, сравнивших прогноз пациентов с ФП
и синусовым ритмом, имеющих ХСН, показал, что ФП
оказывает негативное влияние на прогноз пациентов
с легкой и умеренной декомпенсацией, но не с тяжелой
стадией (ФК ХСН) [26]. При этом в одной из работ,
включенных в мета-анализ, проводилось определение
давления заклинивания легочной артерии (ДЗЛА), кото‑
рое показало, что ФП оказывает негативный эффект
на прогноз при уровне ДЗЛА менее 16 мм рт. ст. (уме‑
ренная декомпенсация) и не оказывало такого влияния
при более высоком ДЗЛА (тяжелая декомпенсация) [27]. Одним из механизмов того, что ФП не оказывает нега‑
тивного влияния на прогноз у пациентов с тяжелой ХСН,
авторы предположили избыточную активность симпато‑
адреналовой системы (САС), сопровождающуюся уве‑
личением ЧСС как при синусовом ритме, так и при ФП,
при которой тахикардия становится более «ритмичной»
(с уменьшением дефицита пульса). ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§ терапии (AFFIRM [28], RACE [29, 30]). Причем специаль‑
ное проспективное исследование проводилось и у пациен‑
тов с систолической ХСН и ФП, в этом случае попытки
восстановления синусового ритма оказались неудачными
и не влияли на заболеваемость и смертность [31]. Однако дискуссии об эффективности восстановления
синусового ритма у пациентов с ХСН не стихают. Часть
исследователей отмечают, что традиционно применяемые
для удержания синусового ритма антиаритмические пре‑
параты (у пациентов с ХСН в первую очередь – амиода‑
рон) сами могут оказывать негативный эффект на состоя‑
ние пациентов с выраженной ХСН [32]. Поэтому в настоя‑
щее время проводится оценка эффективности катетерной
аблации левого предсердия с целью удержания синусового
ритма у пациентов с ФП и сопутствующей ХСН. В неболь‑
шом исследование AATAC-AF (203 пациента) было пока‑
зано бóльшее удержание синусового ритма (70 % против
34 %), что сопровождалось лучшей 2‑летней выживаемо‑
стью и меньшим числом госпитализаций в группе кате‑
терной аблации в сравнении с приемом амиодарона [33]. В настоящее время проводится оценка безопасности
и эффективности катетерной аблации у больных с ХСН
и ФП в более крупном (n=420) исследовании CASTLE-
HF [34]. Сходные результаты были получены в пилотном
проекте CABANA (60 больных с сердечно-сосудистой
патологией, включающей ХСН) – 65 % больных без ФП
в группе катетерной аблации против 41 % в группе анти‑
аритмического лечения [35]. В настоящее время закончен набор более 2 200 боль‑
ных в основное исследование CABANA (ClinicalTrials.gov
Identifier: NCT00911508). Но даже удачное завершение
указанных исследований не снимает с повестки дня мето‑
ды медикаментозного контроля ритма сердца у многих
пациентов с ХСН, у которых проведение катетерной абла‑
ции затруднено, удержание синусового ритма невозмож‑
но (лучшие результаты 65–70 %) и требуется эффективное
лечение самой ХСН в условиях сохраняющейся ФП. у
прогноз пациентов с ХСН? Первый вопрос, который может выглядеть странным:
ухудшает ли наличие ФП прогноз больных с систоличе‑
ской ХСН? Тот факт, что встречаемость ФП увеличивает‑
ся с прогрессированием тяжести заболевания (ФК ХСН)
может означать как то, что ФП ухудшает течение ХСН,
так и то, что возникновение ФП один из маркеров про‑
грессирования декомпенсации. В целом ряде исследований (SOLVD [16], CHARM
[17], VALIANT [18]) наличие ФП достоверно ухудша‑
ло прогноз ХСН, в то время как в других (V-HeFT I и II
[19], PRIME II [20], COMET [21]) различий в прогнозе
пациентов с ХСН в зависимости от характера основно‑
го ритма выявлено не было. Данные обсервационных
работ также говорят в пользу того, что сам факт наличия
ФП не ухудшает прогноз пациентов с ХСН. Так, по дан‑
ным ретроспективного анализа базы данных Отдела
Заболеваний Миокарда и Сердечной Недостаточности
(ОЗМиСН) НИИ кардиологии (1976–2005 гг.), не было
выявлено различий в прогнозе пациентов с ХСН III–
IV ФК с синусовым ритмом и ФП, причем достоверные
различия в прогнозе больных с синусовым ритмом и ФП
отсутствовали как при низкой, так и при относитель‑
но сохраненной ФВ ЛЖ (рис. 1, оригинальные данные,
публикуемые впервые). Такой же результат был получен
при анализе пациентов, лечившихся в ОЗМиСН НИИ Кроме того, сравнительные исследования не доказали
улучшения прогноза больных с постоянной формой ФП
при попытках восстановления и последующего удержания
синусового ритма в сравнении с контролем ритма сердца,
естественно, на фоне рекомендованной антикоагулянтной 352
ISSN 0022-9040. Кардиология. 2017;57(S2)
Выживаемость
ФВ ЛЖ≤34 % (n=400)
1,0
0,9
0,7
0,5
Дни
2500
0
500
1000
1500
2000
0,8
0,6
0,4
0,3
Фибрилляция предсердий (n=221)
Синусовый ритм (n=179)
p=0,898
Б
Выживаемость
ФВ ЛЖ>34 % (n=437)
p=0,162
1,0
0,9
0,7
0,5
0,3
Дни
2500
0
500
1000
1500
2000
0,8
0,6
0,4
0,2
А
Фибрилляция предсердий (n=128)
Синусовый ритм (n=309)
Рисунок 1. Влияние фибрилляции предсердий на прогноз пациентов с клинически выраженной ХСН III–IV ФК Выживаемость
ФВ ЛЖ≤34 % (n=400)
1,0
0,9
0,7
0,5
Дни
2500
0
500
1000
1500
2000
0,8
0,6
0,4
0,3
Фибрилляция предсердий (n=221)
Синусовый ритм (n=179)
p=0,898
Б Выживаемость
ФВ ЛЖ>34 % (n=437)
p=0,162
1,0
0,9
0,7
0,5
0,3
Дни
2500
0
500
1000
1500
2000
0,8
0,6
0,4
0,2
А
Фибрилляция предсердий (n=128)
Синусовый ритм (n=309) Рисунок 1. Влияние фибрилляции предсердий на прогноз пациентов с клинически выраженной ХСН III–IV ФК ISSN 0022-9040. Кардиология. 2017;57(S2) 352 ОБЗОРЫ
§ Долгое время считалось, что у пациентов с ФП нуж‑
но стремиться к ЧСС менее 80 уд. / мин [37], но с появ‑
лением данных о том, что «порог безопасности» может
быть выше [38], было проведено исследование RACE II
(The Rate Control Efficacy in Permanent Atrial Fibrillation:
a Comparison between Lenient versus Strict Rate Control II)
[39]. В этом исследовании сравнили тактику «строгого»
контроля ЧСС (ЧСС покоя ≤80 уд. / мин и ЧСС во время
6-мин теста ходьбы ≤110 уд. / мин) и «нестрогого» (ЧСС
покоя <110 уд. / мин) у 614 пациентов с ФП (не обязатель‑
но при наличии ХСН). Реальная достигнутая в процессе
лечения средняя ЧСС в группе «строгого» контроля
при длительном наблюдении составляла 75–76 уд. / мин
в сравнении с 84–85 уд. / мин (разница около 10 уд. / мин)
в группе «нестрогого» контроля. Главным выводом
исследования было отсутствие достоверных различий
в частоте сердечно-сосудистой заболеваемости и смерт‑
ности в группах различного контроля ЧСС у пациентов
с ФП, в том числе и при сопутствующей ХСН. ность» или степень регулярности ритма на протяжении
24 часов наблюдения и его вариабельность в течение все‑
го периода наблюдения. Кроме того, у пациентов в чет‑
вертой квартили имело место снижение средней ЧСС
за 24 часа в течение первых 4 лет наблюдения (со 102 до
83 уд. / мин), в отличие от пациентов с исходно невысо‑
кой ЧСС, которая достоверно не менялась на протя‑
жении наблюдения (1 квартиль). Эти диспропорции ISSN 0022-9040. Кардиология. 2017;57(S2)
жении наблюдения (1 квартиль). Эти диспропорции
Пропорция выживших
по медиане ЧСС (92 уд./мин)
1,0
0,9
0,6
0,4
Время (дни)
2500
0
500
1000
1500
2000
0,8
0,7
0,5
0,3
OP=0,932; p=0,590
А
ЧСС>92 уд./мин (n=254)
ЧСС≤92 уд./мин (n=240)
Пропорция выживших
по 25% квартилю ЧСС (80 уд./мин)
1,0
0,9
0,6
0,4
Время (дни)
2500
0
500
1000
1500
2000
0,8
0,7
0,5
0,3
OP=0,970; p=0,837
Б
ЧСС>80 уд./мин (n=351)
ЧСС≤80 уд./мин (n=143)
Пропорция выживших
по 75% квартилю ЧСС (105 уд./мин)
1,0
0,9
0,6
0,4
Время (дни)
2500
0
500
1000
1500
2000
0,8
0,7
0,5
0,3
OP=0,771; p=0,082
ЧСС >105 уд./мин (n=147)
ЧСС ≤105 уд./мин (n=347)
В
Рисунок 2. ОБЗОРЫ
§ Выживаемость пациентов
с систолической ХСН и ФП в зависимости от ЧСС Пропорция выживших
по медиане ЧСС (92 уд./мин)
1,0
0,9
0,6
0,4
Время (дни)
2500
0
500
1000
1500
2000
0,8
0,7
0,5
0,3
OP=0,932; p=0,590
А
ЧСС>92 уд./мин (n=254)
ЧСС≤92 уд./мин (n=240) по медиане ЧСС (92 уд./мин) по медиане ЧСС (92 уд./мин) При сравнении риска сердечно-сосудистых осложне‑
ний у пациентов, у которых «строгий» контроль достиг
цели (ЧСС <80 уд. / мин), с риском у пациентов «нестро‑
гого» контроля ЧСС и у пациентов «строгого» контро‑
ля, у которых не были достигнуты целевые показатели
ЧСС (>80 уд. / мин), не обнаружено разницы в исходах
между группами [40]. А дополнительный анализ резуль‑
татов RACE II не выявил и различий в процессах ремоде‑
лирования предсердий и желудочков у пациентов «стро‑
гого» и «нестрогого» контроля ЧСС [41]. Пропорция выживших
по 25% квартилю ЧСС (80 уд./мин)
1,0
0,9
0,6
0,4
Время (дни)
2500
0
500
1000
1500
2000
0,8
0,7
0,5
0,3
OP=0,970; p=0,837
Б
ЧСС>80 уд./мин (n=351)
ЧСС≤80 уд./мин (n=143) Пропорция выживших р
р
Учитывая, что офисный контроль ЧСС, особенно
при ФП, представляет известные трудности и подвержен
влиянию многих дополнительных факторов, наиболее
демонстративным может быть анализ при учете средне‑
суточного показателя ЧСС по данным Холтеровского
монитора ЭКГ (ХМЭКГ). Такие результаты были полу‑
чены в относительно небольшом по объему (252 пациен‑
тов с ФП без клиники ХСН) исследовании, проведенном
в Японии [42]. В этой работе был проведен анализ связи
ЧСС по данным 24‑часового ХМ ЭКГ и исходов (сердеч‑
но-сосудистая смерть и / или госпитализация по поводу
ХСН) у пациентов с постоянной формой ФП. Работа
показала обратную зависимость: чем меньше ЧСС у лиц
с ФП, тем большим был риск сердечно-сосудистых ослож‑
нений в течение 7 лет наблюдения. При средней ЧСС
62 уд. / мин (1 квартиль) 23,9 % умерли от ХСН или умер‑
ли внезапно (внезапная сердечная смерть – ВСС),
или госпитализировались с обострением ХСН при сред‑
ней ЧСС 76 уд. / мин (2 квартиль) – 12,2 %, при средней
ЧСС 85 уд. / мин (3 квартиль) – 19,4 % и при средней
ЧСС 102 уд. / мин (4 квартиль) – только 7,2 %. у больных с ФП и ХСН Учитывая, что удержание синусового ритма, по дан‑
ным завершенных исследований, не лучше (по влиянию
на заболеваемость и смертность) контроля ЧСС при ФП
у больных с ХСН, особенно при увеличенных размерах
левого предсердия, тактика контроля ЧСС часто исполь‑
зуется у таких пациентов [36]. Возникает главный вопрос: какая ЧСС оптимальна
для пациентов с клинически выраженной ХСН и ФП
с точки зрения достижения компенсации и возможного
улучшения прогноза? Ответив на него, станет понятно,
к какой ЧСС нужно стремиться при лечении больных
с ХСН и ФП. ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§ Следует
заметить, что показатель среднесуточной ЧСС у лиц
с ФП учитывает не только истинную ЧСС, но и «стабиль‑ Пропорция выживших
по 75% квартилю ЧСС (105 уд./мин)
1,0
0,9
0,6
0,4
Время (дни)
2500
0
500
1000
1500
2000
0,8
0,7
0,5
0,3
OP=0,771; p=0,082
ЧСС >105 уд./мин (n=147)
ЧСС ≤105 уд./мин (n=347)
В Пропорция выживших Рисунок 2. Выживаемость пациентов
с систолической ХСН и ФП в зависимости от ЧСС 354 ISSN 0022-9040. Кардиология. 2017;57(S2) ISSN 0022-9040. Кардиология. 2017;57(S2) ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§ могут частично объяснить кажущиеся неожиданными
результаты. Если же посмотреть на результаты исследо‑
вания в целом, то мы увидим ту же закономерность, что
и в исследовании RACE II – больные с ФП и ЧСС более
80 уд. / мин имеют не худший (если и не лучший) прогноз,
чем пациенты с ЧСС менее 70 уд. / мин. Данные вышеприведенных работ касаются пациен‑
тов, не имевших исходно ХСН. Но что мы знаем о паци‑
ентах с сочетанием ХСН и ФП? Какая ЧСС оптимальна
у этой группы больных? Как мы отмечали в предыдущей
статье [1], у пациентов с ХСН на фоне синусового рит‑
ма оптимальной ЧСС является диапазон 70–75 уд. / мин. Но данные ряда исследований показывают, что перенос
данных пациентов с ХСН и синусовым ритмом на паци‑
ентов с ХСН и ФП может быть некорректным. Так, ана‑
лиз длительной выживаемости пациентов, госпитализи‑
рованных в ОЗМиСН НИИ кардиологии им. Мясникова
за 30 лет (1977–2005 годы), показал, что большая ЧСС
достоверно ухудшает прогноз больных с ХСН при сину‑
совом ритме, но не при ФП [1]. Необходимо отметить, что не было выявлено разницы
в выживаемости больных с ХСН II–IV ФК и постоянной
формой ФП при разделении пациентов ни по медиане
ЧСС (92 уд. / мин), ни по низшей (80 уд. / мин), ни по выс‑
шей квартилям (105 уд. / мин) (рис. 2А, 2Б и 2В соответ‑
ственно), хотя в последнем случае наблюдалась тенден‑
ция к лучшему прогнозу у пациентов с бóльшей ЧСС. Сходные данные были получены и в крупном рандо‑
мизированном контролируемом исследовании (РКИ)
CHARM, в которое включались как пациенты с низ‑
кой ФВ ЛЖ (СНнФВ), так и с промежуточной ФВ ЛЖ
(СНпФВ) и сохраненной ФВ ЛЖ (СНсФВ) [6]. В толь‑
ко что опубликованном анализе пациентов, включенных
в 11 основных РКИ, изучавших применение β-АБ у паци‑
ентов с СНнФВ (14 166 пациентов с синусовым ритмом
и 3 065 пациентов с ФП) [43]. Во всех этих работах отме‑
чалась тенденция, хотя и не достигшая достоверности,
к тому, что пациенты с более высокой ЧСС при ХСН, про‑
текающей с ФП, имели лучшую выживаемость, чем паци‑
енты с низкой ЧСС. Крупный Шведский регистр также показал, что у паци‑
ентов с ФП и СНнФВ нет связи между значениями ЧСС
и риском смерти при ЧСС менее 100 уд. / мин, и только
у пациентов, имеющих ЧСС >100 уд. / мин, повышен риск
смерти в сравнении с пациентами с ЧСС ≤60 уд. / мин [44]. ОБЗОРЫ
§ Во-первых, в верхнюю квартиль
пациентов входило большое число пациентов с ЧСС
значимо выше 100 уд. / мин. Во-вторых, дополнительный
анализ показал, что повышение риска смерти отмечалось
у пациентов с ФВ ЛЖ >40 % (относительный риск (ОР)
=1,08 при увеличении ЧСС на 10 уд. / мин; p<0,001). В то же время при ФВ ЛЖ ≤40 % ЧСС ≥75 уд. / мин не ассо‑
циировалась с повышением риска смерти и при этом была
связана с более низким риском комбинированной точки
смерть и госпитализация из‑за ХСН (ОР=0,95; 95 % ДИ:
0,91–0,99 при увеличении ЧСС на 10 уд. / мин; p=0,018). Нами было проведено небольшое исследование с уча‑
стием 89 больных с ХСН с постоянной формой ФП
на фоне оптимальной терапии. ЧСС, позволяющая опти‑
мально разделить пациентов по исходам, была опреде‑
лена при помощи ROC-анализа. Исследование показа‑
ло, что пациенты с ЧСС <75 уд. / мин при поступлении
(медиана – 67 уд. / мин [интерквантильный размах (ИР)
62; 72]) имели более высокий риск смерти, чем паци‑
енты с ЧСС ≥75 уд. / мин (медиана 90 уд. / мин [ИР 80;
105]). И после лечения эта закономерность сохрани‑
лась. Достоверно лучший прогноз отмечен у пациентов
с ЧСС ≥70 уд. / мин (медиана 78 уд. / мин [ИР 74; 83]),
то есть ЧСС снизилась в процессе лечения на 12 уд. / мин,
в сравнении с теми, у кого достигнута ЧСС <70 уд. / мин
(медиана – 67 уд. / мин [ИР 64;70]). Несмотря на разни‑
цу ЧСС, равную 11 уд. / мин, относительный риск смерти
для пациентов с ХСН с постоянной формой ФП и ЧСС
<70 уд. / мин составил 1,91 (р=0,0085). Следует отметить, что есть работы, показавшие,
что высокая ЧСС при ФП не только не увеличивает риск
осложнений и смерти у пациентов с ХСН, но и может
свидетельствовать о более благоприятном прогнозе. Так,
например, в анализе исследования PRIME II (Second
Prospective Randomised Study of Ibopamine on Mortality
and Efficacy) при проведении многофакторного ана‑
лиза было продемонстрировано, что пациенты с ФП
и низкой ЧСС (медиана – 72 уд. / мин) имели достовер‑
но более высокий риск смерти (ОР=2,9), чем пациенты
с высокой ЧСС (медиана – 90 уд. / мин) [47]. ОБЗОРЫ
§ Также следует отметить две работы, посвященные
программе американских госпиталей по практическо‑
му соблюдению рекомендаций при ХСН (Get With
The Guidelines-HeartFailure = GWTG-HF). В первом
из этих исследований проводился анализ связи ЧСС
при госпитализации и риска внутрибольничной смерти
у пациентов с ХСН в зависимости от характера основного Крупный Шведский регистр также показал, что у паци‑
ентов с ФП и СНнФВ нет связи между значениями ЧСС
и риском смерти при ЧСС менее 100 уд. / мин, и только
у пациентов, имеющих ЧСС >100 уд. / мин, повышен риск
смерти в сравнении с пациентами с ЧСС ≤60 уд. / мин [44]. Также следует отметить две работы, посвященные
программе американских госпиталей по практическо‑
му соблюдению рекомендаций при ХСН (Get With
The Guidelines-HeartFailure = GWTG-HF). В первом
из этих исследований проводился анализ связи ЧСС
при госпитализации и риска внутрибольничной смерти
у пациентов с ХСН в зависимости от характера основного ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§
Вероятность остаться в живых
ЧСС при поступлении
1,0
0,9
0,6
0,4
Дни наблюдения
500
1000
1500
2000
2500
3000
0,8
0,7
0,5
0,2
А
0,3
0
p=0,0023
ЧСС>75 уд./мин
Медиана=90 (80;105)
ЧСС≤75 уд./мин
Медиана=67 (62;72) ОБЗОРЫ
§
Вероятность остаться в живых
ЧСС при выписке (оптимальная терапия)
1,0
0,9
0,6
0,4
Дни наблюдения
500
1000
1500
2000
2500
3000
0,8
0,7
0,5
0,2
Б
0,3
0
p=0,0085
ЧСС>70 уд./мин
Медиана=78 (74;83)
ЧСС≤70 уд./мин
Медиана=67 (64;70)
Вероятность остаться в живых
ЧСС при поступлении
1,0
0,9
0,6
0,4
Дни наблюдения
500
1000
1500
2000
2500
3000
0,8
0,7
0,5
0,2
А
0,3
0
p=0,0023
ЧСС>75 уд./мин
Медиана=90 (80;105)
ЧСС≤75 уд./мин
Медиана=67 (62;72)
Рисунок 3. Взаимосвязь частоты сокращения желудочков у больных с ХСН и ФП
и смертностью (когорта ОЗМ и СН S2002–2007 гг., n=89). 3А – ЧСС при поступлении. 3Б – ЧСС при выписке. Вероятность остаться в живых
ЧСС при выписке (оптимальная терапия)
1,0
0,9
0,6
0,4
Дни наблюдения
500
1000
1500
2000
2500
3000
0,8
0,7
0,5
0,2
Б
0,3
0
p=0,0085
ЧСС>70 уд./мин
Медиана=78 (74;83)
ЧСС≤70 уд./мин
Медиана=67 (64;70) Рисунок 3. Взаимосвязь частоты сокращения желудочков у больных с ХСН и ФП
и смертностью (когорта ОЗМ и СН S2002–2007 гг., n=89). 3А – ЧСС при поступлении 3Б – ЧСС при выписке 3А – ЧСС при поступлении. 3Б – ЧСС при выписке. ЧСС. ОБЗОРЫ
§ Это свидетельствует о том, что высокая ЧСС
при ФП у пациентов с ХСН не связана напрямую со сте‑
пенью гиперактивации САС и имеются другие факторы,
определяющие характер ритма и его частоту у деком‑
пенсированных больных. ритма [45]. Минимальный риск смерти регистрировался
при синусовом ритме с ЧСС 66–70 уд. / мин, а у пациен‑
тов с ФП при ЧСС 78–80 уд. / мин (т.е разница составляет
10–12 уд. / мин). уд
)
Второй анализ был посвящен изучению связи между
достигнутой ЧСС при выписке и риском СС осложнений
(смерти и госпитализации из‑за ХСН) в течение 12 мес. [46]. Этот анализ, в отличие от предыдущих работ, пока‑
зал, что ЧСС более 75 уд. / мин при ФП связана с умерен‑
ным увеличением риска смерти пациентов с ХСН. Но сле‑
дует отметить 2 момента. Во-первых, в верхнюю квартиль
пациентов входило большое число пациентов с ЧСС
значимо выше 100 уд. / мин. Во-вторых, дополнительный
анализ показал, что повышение риска смерти отмечалось
у пациентов с ФВ ЛЖ >40 % (относительный риск (ОР)
=1,08 при увеличении ЧСС на 10 уд. / мин; p<0,001). В то же время при ФВ ЛЖ ≤40 % ЧСС ≥75 уд. / мин не ассо‑
циировалась с повышением риска смерти и при этом была
связана с более низким риском комбинированной точки
смерть и госпитализация из‑за ХСН (ОР=0,95; 95 % ДИ:
0,91–0,99 при увеличении ЧСС на 10 уд. / мин; p=0,018). Следует отметить, что есть работы, показавшие,
что высокая ЧСС при ФП не только не увеличивает риск
осложнений и смерти у пациентов с ХСН, но и может
свидетельствовать о более благоприятном прогнозе. Так,
например, в анализе исследования PRIME II (Second
Prospective Randomised Study of Ibopamine on Mortality
and Efficacy) при проведении многофакторного ана‑
лиза было продемонстрировано, что пациенты с ФП
и низкой ЧСС (медиана – 72 уд. / мин) имели достовер‑
но более высокий риск смерти (ОР=2,9), чем пациенты
с высокой ЧСС (медиана – 90 уд. / мин) [47]. Важным
является и тот факт, что в исследовании PRIME II про‑
водился анализ концентрации норадреналина, которая
значимо не отличалась в группах с высокой и низкой Второй анализ был посвящен изучению связи между
достигнутой ЧСС при выписке и риском СС осложнений
(смерти и госпитализации из‑за ХСН) в течение 12 мес. [46]. Этот анализ, в отличие от предыдущих работ, пока‑
зал, что ЧСС более 75 уд. / мин при ФП связана с умерен‑
ным увеличением риска смерти пациентов с ХСН. Но сле‑
дует отметить 2 момента. ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§ Важным
является и тот факт, что в исследовании PRIME II про‑
водился анализ концентрации норадреналина, которая
значимо не отличалась в группах с высокой и низкой Важно, что группы пациентов не отличались по воз‑
расту, соотношению мужчин и женщин, ФК по NYHA,
уровню АД, этиологии XCН (за исключением рубцовых
изменений на ЭКГ, которые встречались чаще у пациен‑
тов с меньшей ЧСС; р=0,045), длительности QRS, числу
пациентов с блокадой левой ножки пучка Гиса (БЛНПГ)
и медикаментозной терапии, включающей ингибито‑
ры АПФ, β-АБ и антагонисты минералокортикоидных
рецепторов. Сложность анализа исследований, изучавших роль
ЧСС у пациентов с ФП и ХСН, заключается в том,
что большая часть – это ретроспективные анализы уже 356 ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§ 89 пациентов
Ретроспективный ана-
лиз выживаемости б-х,
госпитализированных
с диагнозом ХСН
Среднее время наблю-
дения – 7 лет
При поступлении
Низкая ЧСС: ЧСС <75 уд. / мин
Медиана – 67 уд. / мин [62; 72]
Высокая ЧСС: ЧСС ≥75 уд. / мин
Медиана – 90 уд. / мин [80; 105]
При выписке
Низкая ЧСС: ЧСС <70 уд. / мин
Медиана – 67 уд. / мин [64; 70]
Высокая ЧСС: ЧСС ≥70 уд. / мин
Медиана – 78 уд. / мин [74; 83]
Выживаемость в группе пациентов
с высокой ЧСС была выше как при
анализе пациентов при поступлении,
так и при выписке
Пациенты с любой ФВ ЛЖ
Средняя ФВ ЛЖ 33 %
[23; 46]
II–III ФК по NYHA
CHARM [6]
1148 пациентов
Субанализ РКИ
Время наблюдения –
2,8–3,4 года
Пациенты были разделены
на три терцили (Т):
1 Т=Медиана – 64; [60–68]
2 Т=Медиана – 76 [72–80]
3 Т=Медиана – 90 [86–100]
Смерть от всех причин
T1 ОР=1,00
T2 ОР=1,13; ДИ: 0,89–1,43
T3 ОР=0,89; ДИ: 0,69–1,15
Сердечно-сосудистая смерть или
госпитализация из‑за ХСН
T1 ОР=1,00
T2 ОР=0,96; ДИ: 0,78–1,19
T3 ОР=0,79; ДИ: 0,63–0,99
Любая ФВ ЛЖ
Средняя ФВ ЛЖ 37,5 %
II–IV ФК по NYHA
Достоверность пропала по-
сле учета различий в характе-
ристиках больных
Hull LifeLab [23]
488 пациентов
Анализ пациентов,
включенных в програм-
му по изучению ХСН
Время наблюдения –
3,6 года (1,7–6,9 лет). ЧСС при поступлении
(деление на квартили)
Q1 <69 уд. / мин; Q2 69–81 уд. / мин
Q3 82–98 уд. / мин; Q4 >98 уд. / мин
ЧСС во время визита через год
Q1 <62 уд. / мин; Q2 62–72 уд. / мин
Q3 73–82 уд. / мин; Q4 >82 уд. / мин
Связь ЧСС при поступлении
и прогноза
Q1 референс
Q2 ОР=1,01; ДИ: 0,69–1,47; p=0,97
Q3 ОР=0,94; ДИ: 0,64–1,38; p=0,75
Q4 ОР=0,68; ДИ: 0,45–1,03; p=0,07
Связь ЧСС во время контрольных
визитов и прогноза
Q1 референс
Q2 ОР=0,99; ДИ: 0,56–1,72; p=0,96
Q3 ОР=0,71; ДИ: 0,39–1,27; p=0,24
Q4 ОР=1,07; ДИ: 0,60–1,90; p=0,82
Пациенты с ФВ ЛЖ <50 %
I–IV ФК по NYHA
По однофакторному анали-
зу – снижение риска смерти
на 7 % при повышении ЧСС
на 10 уд. / мин (p=0,02). Достоверность пропала по-
сле учета различий в характе-
ристиках пациентов Исследование,
число больных с ФП,
тип исследования,
длительность Результаты
(относительный риск – ОР) и 95 %
доверительный интервал (ДИ) ОБЗОРЫ
§ ОБЗОРЫ
§ ОБЗОРЫ
§ проведенных работ и / или наблюдательных исследова‑
ний. Единственный анализ, являющийся post-hoc анали‑
зом РКИ, где сравнивалась тактика менее строго и более
строгого контролей ЧСС – это дополнительный анализ
исходов 287 пациентов с ХСН, участвовавших в исследо‑
вании RACE II. По данным этого анализа, риск наступле‑
ния первичной конечной точки составил 18,2 % в группе
строгого контроля ЧСС и 15 % в группе нестрогого кон‑
троля ЧСС (p=0,53) [48]. Интересно, что исходная раз‑
ница ЧСС в группе нестрогого контроля – 94±11 уд. / мин
и строгого контроля – 76±12 уд. / мин (Δ=18 уд. / мин;
р<0,001) уменьшилась к концу наблюдения (через 3 года). Достигнутая ЧСС составила 85±14 уд. / мин в группе
нестрого контроля и 76±15 уд. / мин там, где контроль
ЧСС был приоритетом (Δ=9 уд. / мин; р<0,001). Эти данные показывают, что на фоне лечения ЧСС снизилась
в большей степени в группе нестрого контроля, что, воз‑
можно, связано с тем, что лечащие врачи традиционно
пытались снижать ЧСС больным с тахикардией. В ито‑
ге разница в достигнутой ЧСС у больных с ХСН и ФП
в процессе лечения снизилась вдвое. В таблице 1 мы суммировали основные работы, прове‑
денные в этой области, включая проспективные исследо‑
вания, ретроспективные анализы регистров и баз данных
исследований и госпиталей, одноцентровые многолетние
наблюдения, что позволит проанализировать имеющийся
массив данных более подробно. Таким образом, анализ многочисленных РКИ и баз
данных показывает примерно одинаковую закономер‑
ность – оптимальное число желудочковых сокраще‑ Таблица 1. Результаты исследований, изучавших оптимальную ЧСС у пациентов с ХСН и ФП
(анализы влияния ЧСС при ФП на прогноз больных ХСН) (анализы влияния ЧСС при ФП на прогноз больных ХСН)
Исследование,
число больных с ФП,
тип исследования,
длительность
Анализированные
группы
Результаты
(относительный риск – ОР) и 95 %
доверительный интервал (ДИ)
Комментарии
PRIME II [47]
77 пациентов
Субанализ РКИ
Наблюдение
≈ 3,3±0,9 лет
Низкая ЧСС
Медиана – 72 уд. / мин
(разброс 57–80 уд. / мин)
Высокая ЧСС
Медиана – 90 уд. / мин
(разброс 81–163 уд. / мин)
По однофакторному анализу не было
разницы в риске смерти между группой
низкой и высокой ЧСС
(ОР 1,3 ДИ: 0,7–2,4; p=0,58),
а по многофакторному – большая
смертность в группе Низкой ЧСС
(ОР 2,9 ДИ: 1,4–5,8; p=0,002)
Пациенты с СНнФВ
Средняя ФВ ЛЖ 23+8 %
III–IV ФК по NYHA
Мареев Ю. В., 2014 г. Анализированные
группы Комментарии Низкая ЧСС
Медиана – 72 уд. / мин
(разброс 57–80 уд. / мин) При поступлении
Низкая ЧСС: ЧСС <75 уд. / мин
Медиана – 67 уд. / мин [62; 72]
Высокая ЧСС: ЧСС ≥75 уд. / мин
Медиана – 90 уд. / мин [80; 105]
При выписке
Низкая ЧСС: ЧСС <70 уд. / мин
Медиана – 67 уд. / мин [64; 70]
Высокая ЧСС: ЧСС ≥70 уд. / мин
Медиана – 78 уд. / мин [74; 83] Выживаемость в группе пациентов
с высокой ЧСС была выше как при
анализе пациентов при поступлении,
так и при выписке Выживаемость в группе пациентов
с высокой ЧСС была выше как при
анализе пациентов при поступлении,
так и при выписке Смерть от всех причин
T1 ОР=1,00
T2 ОР=1,13; ДИ: 0,89–1,43
T3 ОР=0,89; ДИ: 0,69–1,15
Сердечно-сосудистая смерть или
госпитализация из‑за ХСН
T1 ОР=1,00
T2 ОР=0,96; ДИ: 0,78–1,19
T3 ОР=0,79; ДИ: 0,63–0,99 Смерть от всех причин
T1 ОР=1,00
T2 ОР=1,13; ДИ: 0,89–1,43
T3 ОР=0,89; ДИ: 0,69–1,15
Сердечно-сосудистая смерть или
госпитализация из‑за ХСН
T1 ОР=1,00
T2 ОР=0,96; ДИ: 0,78–1,19
T3 ОР=0,79; ДИ: 0,63–0,99 Пациенты были разделены
на три терцили (Т):
1 Т=Медиана – 64; [60–68]
2 Т=Медиана – 76 [72–80]
3 Т=Медиана – 90 [86–100] CHARM [6]
1148 пациентов
Субанализ РКИ
Время наблюдения –
2,8–3,4 года ЧСС при поступлении
(деление на квартили)
Q1 <69 уд. / мин; Q2 69–81 уд. / мин
Q3 82–98 уд. / мин; Q4 >98 уд. / мин
ЧСС во время визита через год
Q1 <62 уд. / мин; Q2 62–72 уд. / мин
Q3 73–82 уд. / мин; Q4 >82 уд. / мин ЧСС при поступлении
(деление на квартили)
Q1 <69 уд. / мин; Q2 69–81 уд. / мин
Q3 82–98 уд. / мин; Q4 >98 уд. / мин
ЧСС во время визита через год
Q1 <62 уд. / мин; Q2 62–72 уд. / мин
Q3 73–82 уд. / мин; Q4 >82 уд. / мин Связь ЧСС при поступлении
и прогноза
Q1 референс
Q2 ОР=1,01; ДИ: 0,69–1,47; p=0,97
Q3 ОР=0,94; ДИ: 0,64–1,38; p=0,75
Q4 ОР=0,68; ДИ: 0,45–1,03; p=0,07
Связь ЧСС во время контрольных
визитов и прогноза
Q1 референс
Q2 ОР=0,99; ДИ: 0,56–1,72; p=0,96
Q3 ОР=0,71; ДИ: 0,39–1,27; p=0,24
Q4 ОР=1,07; ДИ: 0,60–1,90; p=0,82 Hull LifeLab [23]
488 пациентов
Анализ пациентов,
включенных в програм-
му по изучению ХСН
Время наблюдения –
3,6 года (1,7–6,9 лет). По однофакторному анали-
зу – снижение риска смерти
на 7 % при повышении ЧСС
на 10 уд. Главной целью работы было
сравнение β-АБ и плацебо.
По данным последнего ана-
лиза, прием β-АБ не влиял
на риск смерти пациентов
с ФП ОБЗОРЫ
§ ОБЗОРЫ Анализированные
группы / мин (p=0,02). Достоверность пропала по-
сле учета различий в характе-
ристиках пациентов 357 ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§
Таблица 1. Результаты исследований, из
(анализы влияния ЧСС при ФП на прог
Исследование,
число больных с ФП,
тип исследования,
длительность
Анали
г
Петрухина А. А.,
2008 г. 494 пациента
Ретроспективный
анализ длительной вы-
живаемости пациентов
Среднее время наблю-
дения – 6 лет
По медиане
Низкая ЧСС –
Высокая ЧСС
По 25-му проце
Низкая ЧСС –
Высокая ЧСС
По 75‑му проце
Низкая ЧСС –
Высокая ЧСС
Шведский регистр
2015 год [44]
7 392 пациента
Среднее время наблю-
дения – 2,4 года
Пациенты были
в зависимости о
A – ≤60 уд. / мин
B – 61–70 уд. / м
C – 71–80 уд. / м
D – 81–90 уд. / м
E – 91–100 уд. / м
F – >100 уд. / ми У пациентов с ФВ ЛЖ >40 %
ЧСС ≥75 уд в мин коррелировала с по-
вышенным риском общей смерти ОР
1,080 ДИ 1,035–1,126, при росте ЧСС
на 10 уд. / мин; p<0,001)
У пациентов с ФВ ЛЖ ≤40 %
ЧСС ≥75 уд была связана с более
низким риском смерти или госпита-
лизация из‑за ХСН (ОР=0,95; 95 %
ДИ: 0,910–0,991 при увеличении ЧСС
на 10 уд. / мин; p=0,018) Таблица 1. Результаты исследований, изучавших оптимальную ЧСС у пациентов с ХСН и ФП
(анализы влияния ЧСС при ФП на прогноз больных ХСН)
(продолжение) Таблица 1. Результаты исследований, изучавших оптимальную ЧСС у пациентов с ХСН и ФП
(анализы влияния ЧСС при ФП на прогноз больных ХСН)
(продолжение) Исследование,
число больных с ФП,
тип исследования,
длительность
Петрухина А. А.,
2008 г. 494 пациента
Ретроспективный
анализ длительной вы-
живаемости пациентов
Среднее время наблю-
дения – 6 лет Результаты
(относительный риск – ОР) и 95 %
доверительный интервал (ДИ)
Риск смерти от всех причин
высокая ЧСС vs низкая ЧСС
По медиане
ОР=0,93; p=0,59
По 25‑му процентилю
ОР=0,97; p=0,837
По 75‑му процентилю
ОР=0,77; p=0,082 Результаты
(относительный риск – ОР) и 95 %
доверительный интервал (ДИ) Результаты
(относительный риск – ОР) и 95 %
доверительный интервал (ДИ)
Риск смерти от всех причин
высокая ЧСС vs низкая ЧСС
По медиане
ОР=0,93; p=0,59
По 25‑му процентилю
ОР=0,97; p=0,837
По 75‑му процентилю
ОР=0,77; p=0,082 5 %
)
Комментарии
Пациенты с любой ФВ ЛЖ
Медина ФВ ЛЖ – 40
[ИР 30; 50]
II–IV ФК по NYHA
⅔ больных, наблюда-
лись в 80‑е и 90‑е годы. Соответственно, в группе
было много пороков сердца
за не
ь-
си-
му
ци-
е-
ин
СНнФВ
I–IV ФК по NYHA
ной
тро-
о»
=0,53
той
оля
н-
Пациенты с любой ФВ ЛЖ
Средняя ФВ ЛЖ 48±14
I–III ФК по NYHA
Группа строгого контроля
не отличалась от группы не-
строгого по качеству жизни
по-
ОР
СС
Пациенты с любой ФВ ЛЖ
Медиана ФВ ЛЖ – 48
[ИР 30; 55] Анализированные
группы / мин
Пациенты имели высокую ЧСС
Медиана 81 [ИР 70; 98] уд. / мин Анализированные
группы Комментарии
Пациенты с любой ФВ ЛЖ
Медина ФВ ЛЖ – 40
[ИР 30; 50]
II–IV ФК по NYHA
⅔ больных, наблюда-
лись в 80‑е и 90‑е годы. Соответственно, в группе
было много пороков сердца
СНнФВ
I–IV ФК по NYHA Анализированные
группы Комментарии Пациенты с любой ФВ ЛЖ
Медина ФВ ЛЖ – 40
[ИР 30; 50] По медиане
Низкая ЧСС – ЧСС ≤92 уд. / мин
Высокая ЧСС – ЧСС >92 уд. / мин
По 25-му процентилю
Низкая ЧСС – ЧСС ≤80 уд. / мин
Высокая ЧСС – ЧСС >80 уд. / мин
По 75‑му процентилю
Низкая ЧСС – ЧСС ≤105 уд. / мин
Высокая ЧСС – ЧСС >105 уд. / мин Риск смерти от всех причин
высокая ЧСС vs низкая ЧСС
По медиане
ОР=0,93; p=0,59
По 25‑му процентилю
ОР=0,97; p=0,837
По 75‑му процентилю
ОР=0,77; p=0,082 Пациенты были разделены на 6 групп
в зависимости от ЧСС: По данным однофакторного анализа не
было разницы в риске смерти у боль-
ных, разделенных на группы в зависи-
мости от ЧСС. По многофакторному
анализу – бóльшая смертность у паци-
ентов с ЧСС >100 уд. / мин в сравне-
нии с пациентами с ЧСС ≤60 уд. / мин
(ОР=1,3; ДИ 1,11–1,52; p=0,001) Пациенты были разделены на 6 групп
в зависимости от ЧСС:
A – ≤60 уд. / мин
B – 61–70 уд. / мин
C – 71–80 уд. / мин
D – 81–90 уд. / мин
E – 91–100 уд. / мин
F – >100 уд. / мин Пациенты были разделены на 6 групп
в зависимости от ЧСС:
A – ≤60 уд. / мин
B – 61–70 уд. / мин
C – 71–80 уд. / мин
D – 81–90 уд. / мин
E – 91–100 уд. / мин
F – >100 уд. / мин A – ≤60 уд. / мин
B – 61–70 уд. / мин
C – 71–80 уд. / мин
D – 81–90 уд. / мин
E – 91–100 уд. / мин
F – >100 уд. / мин ОР наступления первичной конечной
точки* в группе «нестрогого» контро-
ля в сравнении с группой «строгого»
контроля – 0,83; ДИ: 0,46–1,49; р=0,53
ОР наступления сердечно-сосудистой
смерти в группе нестрогого контроля
в сравнении с группой строгого кон-
троля – 1,10; ДИ: 0,35–3,40 Субанализ RACE II
[48]
287 пациентов
Среднее время наблю-
дения – 3 года Пациенты с любой ФВ ЛЖ ЧСС <75 уд. / мин
ЧСС ≥75 уд. ИР – интерквантильный размах (25‑й и 75‑й процентили).
* – Первичная точка в исследовании RACE II: сердечно-сосудистая смерть и госпитализация из‑за ХСН, инсульт, системная эмболия, большое кро‑
вотечение, аритмическое событие, включающее синкопе и ЖТ, остановка сердца, жизнеопасные реакции на ритмурежающие препараты, имплан‑
тация ЭКС или ИКД. ОБЗОРЫ
§ ОБЗОРЫ
§ мальной частотой сокращений желудочков при ХСН,
протекающей на фоне ФП, можно считать диапазон
85–87 уд. / мин. В этом случае становится понятным,
почему больные с ХСН и ФП в нашей когорте (так же,
как в исследованиях PRIME II и RACE II) имели не худ‑
шую (лучшую?) выживаемость при ЧСС 85–90 уд. / мин
в сравнении с ЧСС 67–72 уд. / мин. Видимо, пациентам
с СНнФВ и ФП не требуется столь же строгий контроль
ЧСС, как пациентам с синусовым ритмом. ISSN 0022-9040. Кардиология. 2017;57(S2) GWTG-HF [46]
20 197 пациентов Медиана ФВ ЛЖ – 48
[ИР 30; 55] Не было связи между ЧСС ФП и ри-
ском смерти от всех причин ИР – интерквантильный размах (25‑й и 75‑й процентили). * – Первичная точка в исследовании RACE II: сердечно-сосудистая смерть и госпитализация из‑за ХСН, инсульт, системная эмболия, большое кро‑
вотечение, аритмическое событие, включающее синкопе и ЖТ, остановка сердца, жизнеопасные реакции на ритмурежающие препараты, имплан‑
тация ЭКС или ИКД. ний при ФП у больных с клинически выраженной ХСН
на 10–12 ударов больше, чем при синусовом ритме. Как уже говорилось выше, увеличение ЧСС при ХСН
является компенсаторным механизмом поддержания ний при ФП у больных с клинически выраженной ХСН
на 10–12 ударов больше, чем при синусовом ритме. Как уже говорилось выше, увеличение ЧСС при ХСН
является компенсаторным механизмом поддержания сердечного выброса. Однако чрезмерное повышение
ЧСС (более 75 уд. / мин при синусовом ритме) начина‑
ет оказывать негативное влияние, в том числе на кро‑
воснабжение миокарда [1, 49]. Следовательно, опти‑ 358 ISSN 0022-9040. Кардиология. 2017;57(S2) ISSN 0022-9040. Кардиология. 2017;57(S2) ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§ Только нерегулярность стимуляции при ее одинаковой
частоте (неравномерность наполнения и опорожнения
желудочков сердца) сопровождается снижением сердечно‑
го выброса на 12 % [59]. Наличие ФП в сравнении с сину‑
совым ритмом при одинаковой ЧСС приводит к снижению
показателей сердечного выброса на 18–25 % [60]. При упор‑
ной ФП с частотой сокращений желудочков 102 уд. / мин
после аблации атрио-вентрикулярного соединения и сти‑
муляции с такой же ЧСС (устранение только иррегуляр‑
ности ритма) отмечено достоверное повышение сердеч‑
ного индекса на 18 % и снижение ДЗЛА с 17 до 14 мм рт. ст. (р<0,002) [61]. Это сопровождается улучшением клини‑
ческого состояния и при сохранении минимальной вариа‑
бельности интервалов R–R позволяет выровнять показате‑
ли сердечного выброса от сокращения к сокращению [62]. Даже при использовании наиболее современной бивентри‑
кулярной стимуляции (сердечная ресинхронизирующая
терапия) достижение оптимальных показателей гемодина‑
мики связано как с оптимизацией ЧСС, так и с устранени‑
ем иррегулярности сокращений желудочков при ФП [63]. Поэтому, по данным ряда работ, при проведении сердечной
ресинхронизирующей терапии больным с ХСН и ФП необ‑
ходимо добиваться жесткого контроля ЧСС (с помощью
β-АБ и их комбинации с дигоксином), что позволяет увели‑
чить частоту навязанных (ритмичных) импульсов и полу‑
чить результаты, сравнимые с данными пациентов с сохра‑
ненным синусовым ритмом [64, 65]. диастолического наполнения желудочков и ухудшением
коронарного кровоснабжения. 3. Третий вопрос о способах оптимального контроля
ЧСС при ХСН с ФП требует специального анализа. диастолического наполнения желудочков и ухудшением
коронарного кровоснабжения. 3. Третий вопрос о способах оптимального контроля
ЧСС при ХСН с ФП требует специального анализа. β-адреноблокаторы Отрицательный хронотропный и инотропный эффек‑
ты этого класса препаратов связаны со снижением симпа‑
тической стимуляции β-адренорецепторов и умеренным
снижением атрио-вентрикулярной проводимости. р
р
у
р
р
В настоящий момент основная доказательная база
по лечению ХСН и влиянию на прогноз этих больных
существуют только для пациентов с СНнФВ. При этом
до недавнего времени считалось, что пациентам с СНнФВ
независимо от ритма сердца показано лечение β-АБ
с целью улучшения прогноза и снижения риска госпита‑
лизации. Как мы подробно обсудили это в предыдущей
статье, при синусовом ритме имеется четкая корреляция
между снижением ЧСС и улучшением прогноза боль‑
ных с СНнФВ [1, 67]. Но у больных с ФП картина выгля‑
дит не столь благополучно. В ретроспективных анализах
и регистрах, где нельзя исключать влияние врачебного фак‑
тора на назначение или неназначение β-АБ, их прием ассо‑
циировался с лучшей выживаемостью [44, 68]. Но 2 мета-
анализа РКИ, опубликованных в 2013 и 2014 гг., показали,
что применение β-АБ у пациентов с СНнФВ и постоян‑
ной формой ФП не оказывает влияния на риск смерти
этой группы пациентов, несмотря на уменьшение числа
сокращений желудочков [57, 58]. Учитывая неожиданные
результаты, «переворачивающие представление» о лече‑
нии значительной части больных с ХСН и ФП, была созда‑
на специальная группа по изучению эффективности β-АБ
у больных ХСН в зависимости от ЧСС и характера основ‑
ного ритма (Beta-Blockers in Heart Failure Collaborative
Group). Проведенный этой группой индивидуальный
гармонизированный анализ результатов лечения больных
в 11 РКИ подтвердил различия во влиянии β-АБ на про‑
гноз [58]. Среди 14 166 больных с синусовым ритмом β-АБ Практически это выглядит следующим образом: при
ХСН и ФП нужно контролировать не только ЧСС, но
и величину дефицита пульса, достигающую 11–16 уд. / мин
и являющуюся маркером нерегулярных и неэффективных
сокращений сердца [37, 66]. Именно эта разница в числе
неэффективных сокращений и может быть причиной того,
что оптимальные величины ЧСС при ХСН с синусовым
ритмом и ФП отличаются в пределах указанной величины
дефицита пульса (неэффективных сердечных циклов). Каков практический смысл этих данных? Что должен
помнить врач, лечащий пациента с систолической ХСН
и ФП? Должен ли он стремиться к контролю ЧСС? Если
да, то до какой степени и с помощью каких лекарств? На первые два вопроса легко дать ответ: 1. Контроль ЧСС при ХСН, протекающей с ФП, необхо‑
дим. Ведь мы говорим о ЧСС покоя, а чем ниже этот
показатель, тем больше «резерв» безопасного выпол‑
нения физических нагрузок. 2. Цель – снижение ЧСС по крайней мере до 85–90 уд. Почему отличаются оптимальные показатели
ЧСС при ХСН с ФП и с синусовым ритмом? Как объяснить различия в оптимальной ЧСС при
синусовом ритме и ФП и почему при ФП связь между
величиной частоты сокращения желудочков и прогнозом
больных ХСН намного менее тесная? Первая проблема в том, что между ХСН и ФП имеется
тесная двусторонняя связь. Во Фрамингемском исследо‑
вании было показано, что среди 921 больного с ФП 26 %
исходно имели ХСН и еще у 16 % она развилась в процес‑
се 7‑летнего наблюдения. В свою очередь, среди 931 боль‑
ного с имеющейся ХСН 24 % имели в качестве основно‑
го ритма ФП и у 17 % она появилась в течение 7‑летнего
наблюдения [24]. Большинство экспертов считают ФП
и клиническую ХСН двумя «лицами» одной болезни,
имеющей общие ФР: генетическую предрасположен‑
ность, возраст, артериальную гипертензию, ИБС, СД,
ожирение, курение, злоупотребление алкоголем [50–52]. Так как частота этих ФР в XXI веке неуклонно увеличи‑
вается, мы имеем дело с эпидемиологическим ростом
числа больных как с ХСН, так и с ФП. При этом разви‑
вается электрическое и структурное ремоделирование
левого предсердия, поддерживающее ФП, а меняющиеся
от цикла к циклу интервалы R-R характеризуются нерав‑
номерным диастолическим наполнением ЛЖ, ухудшени‑
ем гемодинамики, развитием и прогрессированием ХСН
[4]. Кроме этого, нельзя сбрасывать со счетов и потерю
«предсердного вклада» в диастолическое наполнение
желудочков сердца. Причем чем больше ЧСС при ФП,
тем меньше вклад сокращения предсердий в наполне‑
ние ЛЖ [53]. Все это требует одновременного контро‑
ля ритма и лечения самой ХСН, если мы хотим повлиять
на заболеваемость и смертность [54–56]. При попытке
восстановления ритма он удерживается лишь у 70 % паци‑
ентов в связи со структурными изменениями миокарда
желудочков и предсердий [28, 29, 31]. При попытках контроля только ЧСС, например, с при‑
менением β-АБ, добиться улучшения прогноза у больных
с ХСН и ФП не удается [43, 57, 58]. Это происходит потому,
что нельзя недооценивать крайне важный фактор – при ФП
течение ХСН утяжеляет не только частота, но и нерегуляр‑
ность наполнения и сокращения желудочков сердца. ISSN 0022-9040. Кардиология. 2017;57(S2) Методы оптимального контроля
ЧСС при ХСН с ФП В рекомендациях по лечению ФП (независимо от нали‑
чия или отсутствия ХСН) для уменьшения числа сокра‑
щений желудочков рекомендуется использование β-АБ
с классом рекомендаций IВ [36]. Если эта терапия недо‑
статочно эффективна, необходимо рассмотреть приме‑
нение дигоксина, причем при ФВ ЛЖ <40 % и симптомах
ХСН дигоксин также имеет класс рекомендаций IB [36]. Несмотря на минимальное количество проведенных иссле‑
дований, предполагается и комбинирование этих двух пре‑
паратов. Мы попытаемся представить имеющиеся данные
об использовании этих 3 опций у больных с ФП и ХСН. ОБЗОРЫ
§ Кстати, «чистый» брадикардитиче‑
ский эффект ивабрадина без влияния на нейрогормоны
не позволял достоверно снижать риск смерти больных
с СНнФВ и синусовым ритмом, хотя приводил к досто‑
верному улучшению комбинированной конечной точки,
включающей риск смерти и декомпенсации, требующей
госпитализации больных, что подтверждается результа‑
тами применения ивабрадина, изолированно снижающе‑
го ЧСС [79]. Но при ФП ситуация не столь однозначна. Как было продемонстрировано в исследовании PRIME
II, концентрация норадреналина значимо не отличались
у пациентов с высокой и низкой ЧСС на фоне ФП [47]. Это свидетельствует о том, что высокая ЧСС при ФП
у пациентов с ХСН не связана напрямую со степенью
гиперактивации САС и имеются другие факторы, опре‑
деляющие характер ритма у этих пациентов. Особенно
важную роль играет нерегулярность сердечного рит‑
ма, проявляющаяся наличием дефицита пульса. В этом
случае β-АБ, снижая ЧСС в такой же степени, как
и при синусовом ритме, но не устраняя нерегулярности
ритма, приводят к увеличению интервалов R–R [80]
с возможным развитием пауз, которые потенциально
могут провоцировать остановку сердца [81, 82]. Можно
предположить, что положительное влияние от блокады
САС у больных с СНнФВ и ФП при лечении β-АБ могло
нивелироваться отрицательным эффектом от снижения
ЧСС [9]. Кроме того, во всех исследованиях с β-АБ боль‑
шинство пациентов находилось на терапии дигоксином,
который обеспечивает блокаду САС и снижает уровень
норадреналина в крови, в частности, при применении
в малых дозах (0,25 мг / сут. и концентрации 1,17 нг / мл)
[83, 84]. Лишь дальнейшие исследования смогут про‑
яснить диссонанс между урежением ЧСС и отсутстви‑
ем положительного влияния β-АБ на прогноз больных
с ХСН и ФП. Пока же в рекомендациях по контролю 1. Исходная ЧСС. В оптимальном (лучшем из возмож‑
ных мета-анализов) она составляла 80 уд. / мин (ИР
72–88 уд. / мин) при синусовом ритме и 81 уд. / мин
при ФП (ИР 72–92 уд. / мин), т. е. была абсолютно
одинаковой! 2. Достигнутая ЧСС в процессе лечения. При синусо‑
вом ритме – оптимальные 69 уд. / мин и при ФП те же
69 уд. / мин, в то время как оптимальной выглядит часто‑
та сокращений желудочков 85–87 уд. / мин. Иными сло‑
вами, исходно до лечения β-АБ ЧСС у больных с ХСН
и ФП находилась в нормальном диапазоне, т.е было бы
странным ожидать снижения смертности при уменьше‑
нии ЧСС ниже оптимальных значений. 3. Может ли быть пульсурежающий эффект единствен‑
ным фактором, определяющим влияние β-АБ (или дру‑
гой терапии) на прогноз больных ХСН? В этом
существуют большие сомнения. ОБЗОРЫ
§ ОБЗОРЫ
§ ОБЗОРЫ
§ ведет к дисфункции кардиомиоцитов, риску развития
дисфункции миокарда и нарушений сердечного ритма
[71–73]. Именно за счет блокады активности САС β-АБ
блокируют ремоделирование сердца и снижают риск
прогрессирования ХСН и желудочковых нарушений
ритма сердца [74–76]. Более того, в только что завер‑
шившихся экспериментальных исследованиях было
продемонстрировано, что β-АБ в значительной степени
устраняют патологическую картину экспрессии генов,
наблюдаемую при СН [77]. Имеются предположения,
что разные β-АБ имеют различную степень воздей‑
ствия на парасимпатическое звено автономной нервной
системы и, соответственно, дополнительную способ‑
ность блокировать ремоделирование сердца [78]. достоверно на 27 % снижали смертность (ОР=0,73 против
плацебо; 95 % ДИ: 0,67–0,79; p<0,001), причем независи‑
мо от исходной ЧСС (р=0,35). Лечение β-АБ 3 034 боль‑
ных с ФП никак не влияло на прогноз (ОР смерти = 0,96;
95 % ДИ: 0,81–1,12; p=0,58), также независимо от исход‑
ной частоты сокращения желудочков. Более того, наблю‑
далась тенденция к более высокому риску смерти у паци‑
ентов с ЧСС ниже 60 уд. / мин. Правда, нужно отметить,
что достигнутая ЧСС измеряется дискретно, как правило,
на одном из ранних визитов, и связывать ее с показателями
смертности (линейным показателем) не совсем корректно. р
(
)
рр
Самое интересное, что среднее снижение ЧСС состав‑
ляло 11 уд. / мин при синусовом ритме и 12 уд. / мин
при ФП, то есть было совершенно одинаковым! Возникает
философский вопрос: чего мы хотим? Если контроля
ЧСС – мы его достигаем при лечении β-АБ больных с ХСН
как при синусовом ритме, так и при ФП. Как мы отмечали
выше, это важно, так как определяет лучшее клиническое
состояние и резерв для выполнения физических нагрузок. Кстати, в уже упоминавшихся Европейских рекоменда‑
циях по лечению ФП указаны параметры контроля ЧСС:
«менее 110 уд. / мин или более строго при сохраняющихся
симптомах ХСН» [36]. Однако уменьшения смертности
при применении β-АБ у больных с ХСН и ФП не дости‑
гается. Авторы мета-анализа и комментаторы в передо‑
вой статье продолжают задаваться вопросом: почему
при синусовом ритме снижение ЧСС связано с уменьше‑
нием смертности, а при ФП – нет? [43, 69]. На сегодня
этому есть несколько объяснений: При синусовом ритме снижение ЧСС, отражающее
симпатолитическую активность β-АБ, является важным
дополнительным механизмом положительного влия‑
ния на прогноз. β-адреноблокаторы / мин
(в отличие от менее 75 уд. / мин при ХСН с синусовым
ритмом и менее 60 уд. / мин для больных с синусовым
ритмом без ХСН). По всей видимости, при этой ЧСС
достигается максимальный вклад частоты в поддержа‑
ние минутного объема сердца и отсутствует крити‑
ческое укорочение диастолы, чреватое уменьшением 360 360 ISSN 0022-9040. Кардиология. 2017;57(S2) ISSN 0022-9040. Кардиология. 2017;57(S2) ОБЗОРЫ
§ Так, в исследовании
COMET при прямом сравнении 2 β-АБ, примерно оди‑
наково снижающих ЧСС, было продемонстрировано
достоверное преимущество карведилола над метопро‑
лолом по влиянию на прогноз больных с СНнФВ [70]. Известно, что дисбаланс симпатической и парасимпа‑
тической нервных систем с резким преобладанием 1‑й ISSN 0022-9040. Кардиология. 2017;57(S2) 361 ОБЗОРЫ
§ с уменьшением дифицита пульса, то есть увеличивает коли‑
чество эффективных сокращений сердца [37, 66, 92, 93]. ритма у пациентов с ФП с СНнФВ указано «использо‑
вать минимальную дозу β-АБ, позволяющую контроли‑
ровать число сердечных сокращений, при необходимо‑
сти добавить дигоксин и избегать брадикардии» [36]. В исследованиях ОЗМиСН НИИ кардиологии изуча‑
лось влияние дигоксина на ЧСС у больных с ХСН с сину‑
совым ритмом и ФП по данным 72‑часового монитори‑
рования ЭКГ [94]. В отличие от β-АБ дигоксин достовер‑
но больше снижал среднюю ЧСС при ФП (–18 уд. / мин),
чем при синусовом ритме (–11 уд. / мин), что связано
с уменьшением дефицита пульса и более «регулярным»
ритмом при ФП. Максимальное снижение ЧСС про‑
исходило при более высокой концентрации дигокси‑
на (>1,4 нг / мл) на 9 уд. / мин больше, чем при низкой
и в ночные часы (с 3 до 6 часов) на 13 уд. / мин, что свиде‑
тельствует о мощном парасимпатическом действии [94]. Однако превышение концентрации дигоксина >1,1 нг / мл
у больных СНнФВ и синусовым ритмом, сопровождалось
увеличением риска смерти [95]. Поэтому сегодня реко‑
мендуется аккуратное дозирование дигоксина. При этом
еще до появления отрицательного дромотропного дей‑
ствия гликозиды способны уменьшать основной период
предсердных волн F и в результате их уменьшения способ‑
ствовать увеличению скрытого проведения через атрио-
вентрикулярный узел и упорядочиванию ритма [96]. Дигоксин В 1785 году в свой знаменитой книге W. Whithering
отмечал максимальный клинический и диуретический
эффекты дигиталиса «у пациентов с одышкой, отеками,
частым и нерегулярным ритмом» и токсический эффект
«у больных с редким и регулярным ритмом»* После выделения кристаллического дигоксина [85]
и создания метода его контроля в крови [86] препарат стал
основным средством лечения СНнФВ, протекающей с ФП,
хотя проспективных РКИ, изучивших применение дигок‑
сина у пациентов с ХСН и ФП не проводилось [87, 88]. В Европейских и Американских рекомендациях отсутству‑
ют раздельные рекомендации по применению дигноксина
у пациентов с ХСН при наличии синусового ритма и ФП. В последнее время появились ретроспективные обсерва‑
ционные исследования, показавшие, что пациенты с ХСН,
получавшие дигоксин, имели выше риск смерти, чем паци‑
енты, не получавшие его [89, 90]. Но в 2015 году вышел
системный мета-анализ по применению дигоксина у паци‑
ентов с ХСН [91]. Мета-анализ показал, что по данным
РКИ, применение дигоксина не увеличивает риск смерти,
но снижает риск госпитализации из‑за обострения ХСН. Что касается обсервационных исследований, то в них паци‑
енты, получавшие дигоксин, были старше (на 2,4 года),
имели более низкое значение ФВ ЛЖ (33 против 42 %)
и среди них было больше число пациентов с СД, чем сре‑
ди пациентов в группе контроля. Применение статисти‑
ческой обработки данных с учетом разницы в исходных
харатктеристиках между пациентами, принимавшими
и не принимавшими дигоксин, уменьшало влияние препа‑
рата на риск смерти. Мета-регрессия показала связь между
погрешностями в исследованиях (bias score) и повышени‑
ем риска смерти на фоне дигоксина. В связи с этим авторы
поставили под сомнение отрицательное влияние дигок‑
сина на прогноз, указав, что необходимо проведение про‑
спективных рандомизированных исследований. Учитывая, что «безопасная» концентрация дигоксина
в плазме крови не всегда позволяет достигать выраженного
пульсурежающего эффекта [97, 98], целесообразна комби‑
нация с β-АБ, которые больше влияют на атриовентрику‑
лярную проводимость, не упорядочивая ритм при ФП [96]. * – W. Withering, An account of the foxglove, and Some of its Medical Uses: with practical remarks on dropsy, and other diseases. London: Birmingham: printed by M. Swinney;
for G. G. J. and J. Robinson, Paternoster-Row, 1785 С П И С О К Л И Т Е Р А Т У Р Ы 1. Мареев В. Ю., Мареев Ю. В. Роль ЧСС в механизмах компен-
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и фибрилляции предсердий и методы безопасного и эффектив-
ного контроля сердечного ритма. Часть 1. Синусовый ритм. Журнал Сердечная Недостаточность. 2017;18 (3):213–24. DOI:10.18087 / rhfj.2017.3.2352 [Mareev V. Yu., Mareev Yu. V. Rol`
ChSS v mexanizmax kompensaczii i dekompensaczii u bol`ny`x
XSN pri sinusovom ritme i fibrillyaczii predserdij i metody` bezo-
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цией предсердий в сочетании с артериальной гипертонией,
ишемической болезнью сердца, хронической сердечной недо-
статочностью по данным регистра РЕКВАЗА-КЛИНИКА. Кардиоваскулярная терапия и профилактика. 2017;16 (2):33–
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[Stepina
E. V.,
Luk`yanov M. M., Bojczov S. A., Bichurina M. A., Belova E. N.,
Kudryashov E. V i dr. Naznachenie medikamentoznoj terapii, vli-
yayushhej na prognoz u bol`ny`x s fibrillyacziej predserdij v soche
tanii s arterial`noj gipertoniej, ishemicheskoj bolezn`yu serdcza,
xronicheskoj serdechnoj nedostatochnost`yu po danny`m registra
REKVAZA-KLINIKA. Kardiovaskulyarnaya terapiya i profilaktika. 2017;16 (2):33–8. DOI:10.15829 / 1728‑8800‑2017‑2‑33‑38]. ной терапии, влияющей на прогноз у больных с фибрилля-
цией предсердий в сочетании с артериальной гипертонией,
ишемической болезнью сердца, хронической сердечной недо-
статочностью по данным регистра РЕКВАЗА-КЛИНИКА. Кардиоваскулярная терапия и профилактика. 2017;16 (2):33–
8. DOI:10.15829 / 1728‑8800‑2017‑2‑33‑38
[Stepina
E. V.,
Luk`yanov M. M., Bojczov S. A., Bichurina M. A., Belova E. N.,
Kudryashov E. V i dr. Naznachenie medikamentoznoj terapii, vli-
yayushhej na prognoz u bol`ny`x s fibrillyacziej predserdij v soche
tanii s arterial`noj gipertoniej, ishemicheskoj bolezn`yu serdcza,
xronicheskoj serdechnoj nedostatochnost`yu po danny`m registra
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§ Конечно, имеющихся на сегодня данных крайне мало
для того, чторбы сделать окончательные выводы. Требуются
крупные проспективные исследования, но, по нашим дан‑
ным, такие протоколы в настоящее время не проводятся. Поэтому хочется еще раз отметить тот факт, что не всегда
данных доказательной медицины достаточно для формули‑
рования выводов, которые могли бы использоваться в кли‑
нической практике. И несмотря на то, что уменьшение ЧСС
не всегда сопровождается улучшением прогноза больных,
особенно при СНнФВ и ФП, с клинической точки зрения целесообразно уменьшение ЧСС покоя до 85–90 уд. / мин
у этой категории пациентов. Представленный нами обзор
подтверждает, на наш взгляд, оправданность аккуратно‑
го комбинированного применения небольших доз β-АБ
и дигоксина для контроля числа желудочковых сокращений
у больных с ХСН и ФП. По всей видимости, максимальный
эффект от этой терапии могут получить пациенты с кли‑
нически выраженной ХСН [100] и / или ЧСС покоя выше
90–100 уд. / мин, и эта тактика прописана в современных
рекомендациях по лечению ФП [36]. Комбинация дигоксина и β-АБ Для безопасного и эффективного контроля числа желу‑
дочковых сокращений у больных с ХСН и ФП эта комби‑
нация выглядит абсолютно оправданной. Однако, на удив‑
ление, имеется всего 1 небольшое по объему (47 больных)
проспективное сравнительное исследование, сравнившее
3 тактики контроля ЧСС у больных с ХСН и ФП [99]. Результаты этого исследования не выявили преимущества
β-АБ карведиола (47,6 мг / сут.) над дигоксином (концен‑
трация 1,2 нг / мл) в контроле числа сокращений желудоч‑
ков, более того, дигоксин достоверно более значимо влиял
на ночную ЧСС. При этом комбинированная терапия про‑
демонстрировала однозначно бóльшую эффективность
в сравнении с монотерапией карведилолом или дигокси‑
ном. Важно, что при концентрации дигоксина 1,4 нг / мл его
комбинация с карведилолом хотя и увеличивала среднюю
продолжительность пауз (2,9±0,8 против 2,4±0,6 секунд,
на монотерапии дигоксином; p<0,05), но не провоциро‑
вала появления опасных пауз продолжительностью более
3 секунд ни в дневное, ни в ночное время [99]. Два основных эффекта дигоксина при лечении ХСН,
особенно протекающей с ФП – это положительное ино‑
тропное действие и отрицательный хронотропный эффект,
связанный с умеренной блокадой катехоламинов и одно‑
временной активацией парасимпатической нервной систе‑
мы. Замедление атрио-вентрикулярной проводимости
(отрицательный дромотропный эффект гликозидов) позво‑
ляет не только снижать ЧСС, но и «упорядочивать ритм» ISSN 0022-9040. Кардиология. 2017;57(S2) 362 ОБЗОРЫ
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Colecistectomía como factor de riesgo para reflujo duodenogástrico
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© 2023 Sociedad de Gastroenterología del Perú
ART ÍC ULO ORIG INAL
Colecistectomía como factor de riesgo para reflujo
duodenogástrico
Cholecystectomy as a risk factor for duodenogastric reflux
Edgard Chávez-Mendoza1,2 , Victor Parra-Pérez1,3
1
2
3
Universidad Nacional Mayor de San Marcos. Lima, Perú.
Servicio de Gastroenterología, Hospital San José del Callao. Lima, Perú.
Servicio de Gastroenterología, Hospital Hipólito Unanue. Lima, Perú.
Recibido: 05/09/2023 - Aprobado: 10/11/2023
RESUMEN
El reflujo biliar o reflujo duodenogástrico (RDG) es el flujo retrógrado del contenido duodenal (principalmente bilis) hacia el estómago,
capaz de producir daño químico a la mucosa y desencadenar mutaciones hacia el desarrollo de metaplasia intestinal, displasia e incluso,
cáncer gástrico. Objetivo: El objetivo de este estudio fue estimar la prevalencia del reflujo biliar primario en pacientes colecistectomizados
e identificar si la colecistectomía es un factor de riesgo para el RDG. Materiales y métodos: Se realizó un estudio observacional transversal
analítico, en el que fueron incluidos todos los pacientes que se realizaron endoscopía digestiva alta entre febrero y junio del 2023, en un
centro endoscópico privado en la ciudad de Lima, Perú. De acuerdo al reporte endoscópico, los pacientes fueron divididos en dos grupos:
con RDG y sin RDG. Se analizaron estadísticamente las características demográficas, el antecedente de colecistectomía y los hallazgos
endoscópicos. Fueron incluidos 408 pacientes. Resultados: La edad media de la población fue 48,18 ± 16,82años; el 61,52% fueron mujeres.
La prevalencia de RDG fue de 25,74% en la población y de 52,11% en pacientes colecistectomizados. La prevalencia de RDG en pacientes
colecistectomizados fue 2,58 veces en comparación a los pacientes sin colecistectomía (p< 0,001). La edad ≥50 años también se comportó
como factor de riesgo para RDG (p=0,025). No hubo diferencias significativas respecto a diabetes, infección por Helicobacter pylori ni
consumo de tabaco. Conclusión: En conclusión, el antecedente de colecistectomía y la edad demostraron ser factores de riesgo para el
desarrollo de RDG primario.
Palabras clave: Reflujo duodenogástrico; Factores de riesgo; Gastritis; Colecistectomía; Metaplasia (fuente: DeCS-Bireme).
ABSTRACT
Bile reflux or duodenogastric reflux (DGR), refers to the retrograde flow of duodenal contents (mainly bile) into the stomach; capable of
producing chemical damage to the mucosa, and triggering mutations towards the development of intestinal metaplasia, dysplasia and
even gastric cancer. Objective: This study aimed to estimate the prevalence of primary bile reflux in cholecystectomized patients and to
identify whether cholecystectomy is a risk factor for development of DGR. Materials and methods: An analytical cross-sectional and
observational study was conducted, in which all patients who underwent upper digestive endoscopy from February to June 2023 in a
private endoscopic center in Lima, Peru, were included. According to the endoscopic report, patients were divided into two groups as those
with DGR and those without DGR. Demographic characteristics, history of cholecystectomy, and endoscopic findings were statistically
analyzed. 408 patients were included. Results: The mean age of the population was 48.18 ± 16.82 years; 61.52% were female. The
prevalence of DGR was 25.74% in the population, while in cholecystectomized patients it was 52.11%. The prevalence of DRG in patients
with a history of cholecystectomy was 2.58 times compared to patients without cholecystectomy (p<0.001). Age ≥50 years also behaved as
a risk factor for RDG (p=0.025). No significant difference in diabetes, Helicobacter pylori infection or smoking were found. Conclusion: In
conclusion, a history of cholecystectomy as well as age were found to be risk factors for development of primary DGR.
Keywords: Duodenogastric reflux; Risk factors; Gastritis; Cholecystectomy; Metaplasia (source: MeSH NLM).
INTRODUCCIÓN
El reflujo biliar o reflujo duodenogástrico (RDG) se define
como el flujo retrógrado del contenido duodenal, incluida
la bilis y jugo pancreático, hacia el estómago; fenómeno
que puede conducir a la ruptura de la barrera mucosa y
causar daño químico directo al epitelio gástrico (1-3). Fue
descrito por primera vez por Beaumont, en 1883, en un
paciente con fístula gastrocutánea (4); pero recién empieza
a cobrar importancia con el desarrollo creciente de las
cirugías gástricas que alteran el píloro (5,6). Derwr y col
describieron los cambios patológicos asociados al reflujo
biliar en pacientes sometidos a gastrectomía e introdujeron
el término de “gastritis por reflujo biliar” (1,7).
El RDG fisiológico puede presentarse en las primeras
horas de la mañana, en el período posprandial y después
del ayuno prolongado. Cuando se hace más intenso,
Citar como: Chávez-Mendoza E, Parra-Pérez V. Colecistectomía como factor de riesgo para reflujo duodenogástrico. Rev Gastroenterol Peru.
2023;43(4):334-40. doi: 10.47892/rgp.2023.434.1602.
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Colecistectomía como factor de riesgo para reflujo duodenogástrico
Chávez-Mendoza E, et al.
puede producir síntomas clínicos, cambios endoscópicos e
histológicos, convirtiéndose en RDG patológico, causante
de la “gastritis por reflujo biliar” o ”gastritis alcalina” (8,9).
Existen barreras anatómicas (píloro y ángulo bulboduodenal) y funcionales (motilidad antroduodenal y
pilórica) que restringen el paso de la bilis hacia el estómago,
clasificando al RDG según su mecanismo en dos tipos: RDG
primario y secundario. El reflujo biliar secundario ocurre
después de una cirugía gástrica o biliar, mientras que el
reflujo primario se presenta en ausencia de la misma (3,9).
colecistectomía es un factor de riesgo para el desarrollo
de RDG (1,13,25).
La gastritis por reflujo biliar representa aproximadamente
el 22,6% de las gastritis crónicas (10). La prevalencia general
de RDG es de 17 a 24%, pudiendo llegar hasta 60-78%
en pacientes con factores de riesgo (11-13). Diversos estudios
han investigado potenciales factores de riesgo asociados
a reflujo biliar primario, entre ellos: edad, diabetes
mellitus, obesidad, consumo de tabaco, antecedente
de colecistectomía e incluso factores psicológicos; sin
embargo, el RDG primario continúa siendo un fenómeno
poco conocido (10). La evaluación diagnóstica del RDG es
muy importante, pues existe evidencia creciente de que
los ácidos biliares pueden desencadenar mutaciones en
la replicación celular y progresar hacia el desarrollo de
metaplasia intestinal gástrica (MIG), displasia, e incluso
cáncer gástrico (CG) (3,8,14,15).
Los síntomas más comunes del RDG son: náuseas,
vómitos biliosos, dolor abdominal y sensación de plenitud,
pero no son específicos (9,16). Se han descrito varios
métodos para el diagnóstico de RDG, sin embargo, hasta
la actualidad, no existe un estándar de oro, ya que ninguno
de ellos es totalmente confiable, teniendo cada uno sus
propias ventajas y desventajas (8,17). En nuestro país, la
endoscopía digestiva alta es el método más accesible para
el diagnóstico de RDG, y ha sido utilizada en varios estudios
internacionales (3,11,15,18,19). Los hallazgos endoscópicos
incluyen: eritema, pliegues gástricos engrosados y presencia
de bilis en el estómago. El reflujo biliar endoscópico es
uno de los principales criterios diagnósticos de gastritis
por reflujo biliar (10); sin embargo, los cambios histológicos
no son específicos (9). La endoscopía tiene la ventaja de
diagnosticar otras patologías gástricas y, además, por
medio de la toma de biopsia, permite la detección de
lesiones preneoplásicas como la MIG y de la infección por
Helicobacter pylori (HP) (16,20).
La colecistectomía es el tratamiento de elección para
la colelitiasis sintomática, y a la vez, una de las cirugías
más frecuentemente realizadas a nivel mundial (21). La
mayoría de los pacientes experimenta una resolución de
sus síntomas después de la operación; sin embargo, el 15
a 20% pueden presentar molestias como náuseas, vómitos
biliosos y síntomas tipo dispepsia, fenómeno conocido
como “síndrome poscolecistectomía”, lo cual se atribuye
en gran parte al RDG excesivo (22,23). Un estudio en Egipto
reportó una prevalencia de gastritis por reflujo biliar de
61,8% en pacientes poscolecistectomizados, comparado
con 16,7% en pacientes no operados (13,24). Estudios en
México, Turquía e Irak también demostraron que la
https://doi.org/10.47892/rgp.2023.434.1602
A pesar de que fue descrito desde hace muchos años,
y de los estudios que evidencian su asociación con el
antecedente de colecistectomía; hasta la fecha, la etiología
y los factores de riesgo del reflujo biliar primario no
han sido bien comprendidos, y no existe un tratamiento
100% efectivo (10,26). La incidencia del RDG ha aumentado
gradualmente en las últimas décadas en pacientes sin
antecedente de cirugía gástrica (9,15); sin embargo, en
nuestro país no existen investigaciones al respecto, a
pesar de la evidencia creciente de los efectos nocivos de
los ácidos biliares, y su potencial riesgo de desarrollar
CG (15,19,27). El objetivo del presente estudio es determinar
la prevalencia del reflujo biliar primario endoscópico, e
identificar si la colecistectomía es un factor de riesgo para
su desarrollo.
MATERIALES Y MÉTODOS
Se realizó un estudio observacional, transversal analítico,
que incluyó a todos los pacientes ambulatorios con síntomas
digestivos e indicación de endoscopía digestiva alta, que
acudieron al Centro endoscópico privado Gastromedic, en
la ciudad de Lima, Perú, durante el período comprendido
entre febrero y junio del 2023. El estudio fue aprobado por
el Comité de Ética de la Universidad Nacional Mayor San
Marcos. Es necesario recalcar que se cumplieron todos los
principios éticos delineados en la Declaración de Helsinki.
Los criterios de inclusión fueron: Pacientes de ambos
sexos que se realizaron endoscopía alta con biopsia, entre
los meses de febrero y junio del 2023, y que firmaron el
consentimiento informado para participar en el estudio. Los
criterios de exclusión fueron: pacientes con antecedentes
personales de cirugía gastrointestinal o de vías biliares,
enfermedades mentales o enfermedades crónicas
descompensadas, embarazo, diagnóstico histológico de
adenocarcinoma gástrico y aquellos que no firmaron el
consentimiento informado. Se diseñó una encuesta a
cada participante previo a la realización de la endoscopía,
donde se registró la siguiente información: edad, sexo,
antecedentes personales de diabetes, consumo de alcohol,
consumo de tabaco y antecedente de colecistectomía. El
principio de selección de los factores de riesgo potenciales
mencionados anteriormente, dependió principalmente de
la literatura previa y de nuestra experiencia en la práctica
clínica (1,10,19,24).
Los estudios endoscópicos estuvieron a cargo de dos
gastroenterólogos con amplia experiencia en endoscopía.
Fueron realizados bajo sedación consciente (MidazolamPropofol) y con un mínimo de 6 horas de ayuno. Se
utilizaron equipos de videoendoscopía de luz blanca
marca Olympus modelo CV-160®. El diagnóstico de RDG
se realizó en base a las características del contenido biliar
en la cavidad gástrica durante la endoscopía y se clasificó
tomando como referencia dos estudios recientemente
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335
Chávez-Mendoza E, et al.
Colecistectomía como factor de riesgo para reflujo duodenogástrico
realizados (15,19) en: ausente (lago mucoso claro), grado
1 (amarillo claro), grado 2 (verde amarillento) y grado
3 (amarillo oscuro y turbio). A todos los pacientes se les
realizó toma de biopsia, siguiendo el protocolo de Sidney
actualizado (2 de antro: curvatura menor y mayor, 2 de
cuerpo: curvatura menor y mayor y 1 de incisura angularis)
(14)
. El diagnóstico de infección por HP, fue realizado en base
a la biopsia. En caso de sospecha de neoplasia maligna se
tomaron 8 biopsias y fueron excluidos del estudio.
Los datos del cuestionario, así como el reporte
endoscópico, con el respectivo informe del grado de reflujo
biliar y el informe anatomopatológico, fueron registrados
en la ficha de recolección de datos. Una vez terminada la
recolección de datos, se clasificó a los pacientes en dos
grupos: con RDG y sin RDG, procediéndose con el análisis
estadístico.
Análisis estadístico
En el análisis univariado, las variables numéricas fueron
expresadas en media +- desviación estándar, o mediana
dependiendo la distribución de los datos que fueron
evaluados mediante la prueba de Shapiro–Wilk e
histograma. Por otro lado, las variables categóricas fueron
expresadas en número y porcentajes o frecuencias.
En el análisis bivariado, se evaluó la asociación entre la
variable dependiente reflujo duodenogástrico y la variable
independiente colecistectomía, mediante la prueba de chi
cuadrado (X2) o exacta de Fisher, a un nivel de confianza de
95%, previa evaluación de los supuestos estadísticos. Los
resultados fueron considerados como estadísticamente
significativos si p<0,05.
En el análisis bivariado, la prevalencia de RDG en
pacientes operados de vesícula fue de 52,11%, mientras
que en los no operados fue de 20,18%. Fueron factores
asociados a la presencia de reflujo biliar la edad
mayor o igual a 50 años (p=0,025) y el antecedente de
colecistectomía (p<0,001). Las demás variables no tuvieron
diferencia estadísticamente significativa. Tabla 2, Figura 1.
Para determinar la fuerza de asociación se realizó
mediante un modelo lineal generalizable (GLM) donde
se determinó las razones de prevalencia (RP) con sus
respectivos intervalos de confianza al 95%.
La prevalencia de tener reflujo biliar en varones fue
1,02 veces mayor en comparación a las mujeres y no fue
estadísticamente significativo (p=0,890).
Tabla 1. Características de la población.
Variables
n (%)
Sexo
Femenino
251 (61,52)
Masculino
157 (38,48)
Edad (años)
48,18 ± 16,82
Edad categorizada
<50 años
221 (54,17)
≥ 50 años
187 (45,83)
Consumo de tabaco
No
352 (86,27)
Si, antes
31 (7,60)
Sí, ahora
25 (6,13)
El análisis estadístico se realizó con el paquete estadístico
STATA v 14.
Consumo de alcohol
No
306 (75)
Aspectos éticos
Si, antes
64 (15,69)
Sí, ahora
25 (6,13)
Se obtuvo la aprobación del Comité de Ética de la
Universidad Nacional Mayor San Marcos y el permiso de la
institución para la realización del estudio. Los pacientes que
ingresaron al estudio firmaron consentimiento informado.
Diabetes
No
371 (90,93)
Sí
37 (9,07)
Helicobacter pylori
RESULTADOS
Fueron evaluados inicialmente un total de 448 participantes
que se realizaron endoscopía digestiva alta entre febrero y
junio del 2023, de los cuales fueron excluidos 40 pacientes
por no cumplir con los criterios de inclusión y/o tener al
menos un criterio de exclusión, por lo que el grupo de
estudio quedó conformado por 408 pacientes. La edad
media de la población fue 48,18 ± 16,82 años. Respecto al
género, fueron 251 (61,52%) mujeres. De los 408 pacientes
estudiados se encontró RDG en 105 (25,74%) y ausencia
del mismo en 303 (74,26%). Tuvieron antecedente de
colecistectomía 71 (17,40%). El resto de características de
la población estudiada se describe en la Tabla 1.
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No
158 (38,97)
1+
136 (33,33)
2+
69 (16,91)
3+
44 (10,78)
Colecistectomía
No
337 (82,60)
Sí
71(17,40)
Reflujo biliar
No
303 (74,26)
Grado I
82 (20,10)
Grado II
23 (5,64)
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Chávez-Mendoza E, et al.
Colecistectomía como factor de riesgo para reflujo duodenogástrico
Tabla 2. Análisis bivariado de los factores de riesgo relacionado a reflujo biliar.
Reflujo biliar
Variables
No (n=303)
Sí (n=105)
Sexo
Valor de p
0,890
Femenino
187 (74,50)
64 (25,50)
Masculino
116 (73,89)
41(26,11)
Edad (años)β
45 (34 - 59)
53 (36 - 67)
Edad categorizada
0,080
0,025*
<50 años
174 (78,73)
47 (21,27)
≥ 50 años
129 (68,98)
58 (31,02)
No
264 (75)
88 (25)
Sí, antes
23 (74,19)
8 (25,81)
Sí ahora
16 (64)
9 (36)
Consumo de tabaco
0,478
Consumo de alcohol
0,318
No
223 (72,88)
83 (27,12)
Sí antes
48 (75)
16 (25)
Sí ahora
32 (84,21)
6 (15,79)
Diabetes
0,560
No
277 (74,66)
94 (25,34)
Sí
26 (70,27)
11 (29,73)
No
118 (74,21)
41 (25,79)
Sí
185 (74,30)
64 (25,70)
No
269 (79,82)
68 (20,18)
Sí
34 (47,89)
37 (52,11)
0,985
Helicobacter pylori
Colecistectomía
<0,001*
β: Los datos fueron expresados en mediana (p25-p75); Prueba T de Student.
* Se considero estadísticamente significativo, un valor p<0,05
90
80
La prevalencia de tener reflujo biliar en pacientes ≥ 50
años fue 1,45 veces mayor en comparación a las pacientes
< 50 años y fue estadísticamente significativo (p=0,025).
79,82
70
Porcentaje (%)
60
52,11
47,89
50
40
30
20,18
20
10
0
No
Si
Colecistectomía
Reflujo biliar No
Reflujo biliar Sí
Figura 1. Proporción de pacientes colecistectomizados con y sin reflujo
duodenogástrico.
https://doi.org/10.47892/rgp.2023.434.1602
La prevalencia de tener reflujo biliar en pacientes
con colecistectomía fue 2,58 veces en comparación a
los pacientes sin colecistectomía y fue estadísticamente
significativo (p<0,001). Ver Tabla 3.
La prevalencia de tener reflujo biliar en pacientes
con Helicobacter pylori fue 1,07 veces en comparación
a los pacientes sin Helicobacter pylori ajustado por la
variable grupo etario, diabetes y colecistectomía y no fue
estadísticamente significativo (p=0,644).
La prevalencia de tener reflujo biliar en pacientes con
colecistectomía fue 2,47 veces en comparación a los
pacientes sin colecistectomía ajustado por la variable, grupo
etario, diabetes y Helicobacter pylori y fue estadísticamente
significativo (p<0,001). Ver Tabla 4.
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Colecistectomía como factor de riesgo para reflujo duodenogástrico
Chávez-Mendoza E, et al.
Tabla 3. Razones de prevalencias crudas para características de reflujo biliar.
Tabla 4. Razones de prevalencias ajustadas para características de reflujo
biliar.
Variables
Análisis crudo
RP (95% IC)
Valor p
Sexo
Femenino
Referencia
Masculino
1,02 (0,73 -1,43)
Referencia
≥ 50 años
1,45 (1,04 - 2,03)
0,890
Referencia
Sí
1,17 (0,69 - 1,98)
0,026*
Referencia
Sí
0,99 (0,71 - 1,39)
0,551
Referencia
Sí
2,58 (1,89 - 3,51)
0,985
<0,001*
* Se considero estadísticamente significativo, un valor p<0.05
RP: Riesgo de prevalencia; IC: Intervalo de confianza
DISCUSIÓN
Es conocida la relación entre el RDG secundario y el
antecedente de cirugía gástrica o de vías biliares; sin
embargo, el RDG primario continúa siendo hasta la
actualidad un fenómeno poco comprendido (9). El presente
estudio, realizado en una institución privada, demostró
asociación entre la colecistectomía y la edad mayor o igual
a 50 años, como factores de riesgo para RDG primario
endoscópico. No se encontró una correlación significativa
entre sexo, infección por HP, diabetes, consumo de alcohol,
consumo de tabaco, y RDG primario.
De acuerdo a los reportes internacionales, la prevalencia
general de RDG oscila entre 17 y 24%. Un estudio
que incluyó 804 casos en niños, en los que se realizó
endoscopía alta por dolor abdominal, encontró reflujo
biliar en el 23,9% de pacientes (11), mientras que en nuestro
estudio, que incluyó 408 pacientes, la prevalencia global
fue de 25,74%, ligeramente mayor al promedio. Se sabe
que en ciertos grupos de riesgo, la prevalencia de RDG
puede aumentar considerablemente, como en el caso de
pacientes diabéticos y operados de vesícula (24).
Nuestro estudio demostró que la edad mayor o igual a
50 años es un factor de riesgo para RDG, similar al estudio
de Chen et al., quien encontró que la edad mayor de
45 años es un factor de riesgo para RDG (10). Estos datos
contrastan con el estudio de Alnajjar (25), que reportó una
mayor prevalencia de RDG en mujeres jóvenes, al igual que
lo descrito por la literatura (28) .
En nuestro estudio no hubo asociación entre sexo
y RDG, similar a lo reportado por Othman et al. (29). Sin
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Rev Gastroenterol Peru. 2023;43(4):334-40
<50 años
Referencia
≥50 años
1,28 (0,92 - 1,78)
0,133
No
Referencia
Sí
1 (0,61 - 1,64)
0,994
No
Referencia
Sí
1,07 (0,78 - 1,47)
0,644
Colecistectomía
Colecistectomía
No
Valor p
Helicobater pylori
Helicobater pylori
No
RP (95% IC)
Diabetes
Diabetes
No
Análisis ajustado
Grupo etario
Edad categorizada
<50 años
Variables
No
Referencia
Sí
2,47 (1,80 - 3,39)
<0,001*
* Se considero estadísticamente significativo, un valor p<0,05
RP: Riesgo de prevalencia; IC: Intervalo de confianza
embargo, otro estudios sí mostraron diferencias, como
en el caso de Chen et al, quien demostró que el sexo
masculino es un factor de riesgo para RDG primario (10),
contrastando a Dan Li et al. (19) , quien reporta una tasa de
RDG mucho mayor en mujeres que en hombres, acorde
a lo descrito por la literatura (28), lo cual es comprensible,
ya que el sexo femenino es un factor de riesgo para la
colelitiasis, y ésta es a su vez es considerada como factor
de riesgo para RDG (10,28).
Diversos estudios han demostrado que el RDG puede
aumentar hasta un 60 a 78% en pacientes operados de
vesícula. Othman et al. encontró una prevalencia de
RDG de 61,8% en pacientes colecistectomizados (29), una
tasa mayor en comparación a nuestro estudio, que fue
de 52,11%; por otro lado, Mercan et al. (16) reportó una
prevalencia de RDG de 78% después de la colecistectomía,
frente a 48% antes de la misma. Capi-Rizo et al. encontró
que el 40,6% de pacientes con RDG presentaban el
antecedente de colecistectomía, frente al 9,5% en los
no operados (1). La mayor prevalencia encontrada en los
estudios internacionales probablemente esté en relación al
tipo de población, ya que fueron realizados en hospitales,
donde generalmente se atiende a pacientes con mayor
comorbilidad y posiblemente presenten varios factores
asociados a RDG.
La pérdida de la función de reservorio de la vesícula en
pacientes operados, produce una alteración en el patrón
cíclico de excreción de la bilis; mientras que la pérdida de
respuesta humoral causa una alteración en la motilidad
antroduodenal y pilórica, aumentando el RDG (13). El reflujo
biliar tiene efectos nocivos en la mucosa gástrica, que
comienzan 2 a 6 meses después de la colecistectomía. Los
ácidos biliares, productos del metabolismo del colesterol,
son sintetizados en el hígado (ácidos biliares primarios) y
luego transformados por las bacterias intestinales (ácidos
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Colecistectomía como factor de riesgo para reflujo duodenogástrico
Chávez-Mendoza E, et al.
biliares secundarios). Generalmente, los ácidos biliares
hidrófobos son citotóxicos, y ejercen sus efectos fisiológicos
al unirse a receptores de membrana nuclear, induciendo
estrés oxidativo y daño al ácido desoxirribonucleico (ADN),
lisis de las membranas celulares, y daño tisular, pudiendo
progresar hasta una gastritis atrófica, MIG y CG (27) .
en cuanto a sintomatología y comorbilidad. A pesar de
las limitaciones descritas, creemos que este estudio debe
ser un punto de partida para futuras investigaciones en
nuestro país. Es probable que estudios multicéntricos
a largo plazo nos puedan brindar más claridad sobre la
causalidad del RDG primario.
Othman reportó en un estudio retrospectivo, que
la diabetes y la obesidad son factores de riesgo para el
reflujo biliar en pacientes colecistectomizados (24,29). En
nuestro estudio, la diabetes no demostró esta asociación,
probablemente debido al corto período de estudio y al
tiempo de evolución de la enfermedad, pues se sabe que
la gastroparesia diabética ,que es la causante del RDG, se
presenta en pacientes con diabetes de larga data (28) . Sería
importante valorar resultados en un mayor período de
tiempo y considerar el tiempo de evolución de la diabetes.
En conclusión, los resultados de este estudio demostraron
que la colecistectomía y la edad mayor o igual a 50 años,
pueden ser factores de riesgo asociados a RDG primario.
Teniendo en cuenta que el RDG es un potencial inductor
para el desarrollo de lesiones precancerosas y cáncer
gástrico (15), consideramos de suma importancia investigar,
además de la colecistectomía, otros probables factores
asociados, como la obesidad, la diabetes y la colelitiasis.
Los resultados de los estudios que investigan la relación
entre HP y el reflujo biliar son contradictorios. Asfeldt et
al. (30) reportó que la colonización por HP disminuye como
resultado de ácidos biliares elevados , contrastando a Li et
al. (19), quien demostró que el RDG aumenta la presencia
del HP. En nuestro estudio no se demostró asociación entre
HP y RDG. Sería muy importante que se realicen mayores
investigaciones al respecto, considerando que ambos son
los principales inductores de MIG y CG.
Es importante reconocer algunas limitaciones de
nuestro estudio. En primer lugar, el diagnóstico de RDG
fue realizado sólo basándose en el hallazgo de bilis en la
endoscopía. Un estudio que utilizó un segundo método
para confirmar el RDG, reportó que el grado 1 de reflujo
biliar endoscópico no es representativo de RDG, mientras
que el grado 3 se asoció a un excesivo RDG (16), lo cual
debe ser tomado en cuenta para estudios posteriores. La
gammagrafía hepática, la impedanciometría de pH de 24
horas, y el monitoreo de bilirrubina de 24 horas (Bilitec
2000), son otros métodos conocidos, pero ninguno es lo
suficientemente válido para el diagnóstico de RDG, ni están
a nuestro alcance (8,17), lo que constituye una limitación
importante.
El presente estudio también estuvo limitado por las
características de los estudios transversales, en los cuales,
tanto la variable desenlace como exposición son medidas
simultáneamente, sin poderse establecer una adecuada
relación de temporalidad ni causalidad. Es posible que
algunos pacientes hayan presentado reflujo biliar desde
antes de la colecistectomía y recién se haya detectado
al momento de la endoscopía. Por ello, sería importante
considerar en estudios posteriores un diagnóstico de
reflujo biliar, previo y posterior a la cirugía de vesícula.
Si bien la población fue de 408 pacientes, el período
de recolección de datos fue sólo de 5 meses. Por
último, los estudios fueron realizados en un centro
privado con pacientes ambulatorios, pudiendo ser
una subrepresentación de la realidad, ya que el tipo de
población del hospital es distinta a la de un centro privado,
https://doi.org/10.47892/rgp.2023.434.1602
Conflicto de intereses: Los autores declaran no tener
conflicto de intereses de ningún tipo.
Financiamiento: El trabajo se solventó con recursos
propios. Los autores declaran no haber recibido
financiación económica de ningún tipo.
Contribución de los autores: EC y VP contribuyeron
igualmente en lo siguiente: adquisición de datos, análisis
de datos y redacción del manuscrito. EC fue responsable
de la concepción y diseño del estudio, interpretación de
datos y revisión crítica del manuscrito. Ambos autores
aprobaron la versión final del manuscrito.
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Correspondencia:
Edgard Mariano Chávez Mendoza.
Dirección: Av. Alberto Alexander No 2427, Dpto 102, Lince,
Lima, Perú. Código postal: 15073.
Teléfono: (+51) 994544962.
E-mail: edgard888@hotmail.com
https://doi.org/10.47892/rgp.2023.434.1602
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A machine learning approach to enable bulk orders of critical spare-parts in the shipping industry
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Abstract: Purpose: The main purpose of this paper is to propose a methodological approach and a decision
support tool, based on prescriptive analytics, to enable bulk ordering of spare parts for shipping
companies operating fleets of vessels. The developed tool utilises Machine Learning (ML) and operations
research algorithms, to forecast and optimize bulk spare parts orders needed to cover planned maintenance
requirements on an annual basis and optimize the company’s purchasing decisions. Design/methodology/approach: The proposed approach consists of three discrete methodological
steps, each one supported by a decision support tool based on clustering and Machine Learning (ML)
algorithms. In the first step, clustering is applied in order to identify high interest items. Next, a forecasting
tool is developed for estimating the expected needs of the fleet and to test whether the needed quantity is
influenced by the source of purchase. Finally, the selected items are cost-effectively allocated to a group of
vendors. The performance of the tool is assessed by running a simulation of a bulk order process on a
mixed fleet totaling 75 vessels. Findings: The overall findings and approach are quite promising Indicatively, shifting demand planning
focus to critical spares, via clustering, can reduce administrative workload. Furthermore, the proposed
forecasting approach results in a Mean Absolute Percentage Error of 10% for specific components, with a
potential for further reduction, as data availability increases. Finally, the cost optimizer can prescribe spare
part acquisition scenarios that yield a 9% overall cost reduction over the span of two years. Originality/value: By adopting the proposed approach, shipping companies have the potential to
produce meaningful results ranging from soft benefits, such as the rationalization of the workload of the
purchasing department and its third party collaborators to hard, quantitative benefits, such as reducing the
cost of the bulk ordering process, directly affecting a company’s bottom line. Keywords: shipping industry, spare parts management, bulk ordering, machine learning, forecasting Anglou, F.Z., Ponis, S., & Spanos, A. (2021). A machine learning approach to enable bulk orders of critical
spare-parts in the shipping industry. Journal of Industrial Engineering and Management, 14(3), 604-621.
https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management
JIEM, 2021 – 14(3): 604-621 – Online ISSN: 2013-0953 – Print ISSN: 2013-8423
https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management
JIEM, 2021 – 14(3): 604-621 – Online ISSN: 2013-0953 – Print ISSN: 2013-8423
https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management
JIEM, 2021 – 14(3): 604-621 – Online ISSN: 2013-0953 – Print ISSN: 2013-8423
https://doi.org/10.3926/jiem.3446 A Machine Learning Approach to Enable Bulk Orders of Critical
Spare-Parts in the Shipping Industry
Fiorentia Zoi Anglou
, Stavros Ponis
, Athanasios Spanos
National Technical University Athens, School of Mechanical Engineering (Greece)
fz.anglou@gmail.com, staponis@gmail.com, atspanos@gmail.com fz.anglou@gmail.com, staponis@gmail.com, atspanos@gmail.com Received: December 2020
Accepted: June 2021 Received: December 2020
Accepted: June 2021 1. Introduction The maintenance of the machinery onboard a vessel is a critical task, since any engine failure results in delays and
down-times in the voyage of a vessel, which translates into additional cost and penalties (Kian, Bektaş & Ouelhadj,
2019). Therefore, ship management companies establish full proof and robust planned maintenance frameworks
and systems, whilst giving high prioritization to the planned maintenance of their vessels and undertaking cross
departmental projects to ensure the timely delivery of high-quality spare parts, with as low a cost to the ownership
as possible. Depending on the age of the vessel and the type of machinery, those needs may vary but the overhaul
needs in parts and services when accumulated for the whole fleet may amount to a considerable expense for the
company. At the same time, costs of maintenance and administration increase in a diminishing proportion as the
size of a ship increases (Lun, Lai & Cheng, 2010), thus deeming the fleet mix an important parameter, further
complexing the design, plan and execution of the maintenance strategy. In the research presented in this paper, the authors focus on the planned maintenance needs of a fleet of ships and
more specifically on sixteen (16) components commonly found when addressing the technical needs of the vessels,
e.g. connecting rods, pumps etc. The process of simultaneously assessing spare part needs, and consequent
purchasing, for a fleet of ships is commonly known as a bulk ordering process. Our research simulated the process
of bulk ordering and the subsequent planned maintenance needs of a ship management company operating
approximately 75 vessels. The bulk ordering process is far from a trivial task, since the number of distinct items
ordered each year is considerably high- amounting to several thousand different spare parts- and the delivery
locations are not constant and are subject to the vessels’ movements. Furthermore, the suppliers that can provide
the necessary parts in the necessary volumes for overhauling processes are few and are mostly concentrated in two
geographic regions, i.e. Europe and Asia. In that context, the main challenges that shipping companies encounter are uncertainty, volume and administrative
workload. Uncertainty is inherent in the process since the demand for ship spares possesses an erratic nature as it
can arise at any time (Jiang, Kong & Liu, 2011). The need for ordering in high volumes is also essential, in order for
the ordering process to achieve economies of scale. To cite this article: -604- 2. Literature Review Despite its importance, spare parts management literature has paid little attention to its integration in supply chain
management to optimize ordering policy and reduce costs of spares in the maritime industry (Vukić, Stazić, Pijaca
& Peronja, 2021). Few are the authors who identify and highlight the significance of the subject, one of them being
Nenni and Schiraldi (2013), who state that spare parts management in the maritime industry is indeed a very
important issue due to the complexity and uniqueness of the ship operational environment, where reliability and
safety are particularly essential. Still, according to our review and to the best of our knowledge, only three journal papers are published in the last
five years that are directly relevant to the research presented in this paper. First, the paper by Eruguz, Tan and van
Houtum (2018) attempts to minimize the expected total discounted cost of spare part deliveries, part replacements,
and inventory holding over an infinite planning horizon. To do so, the authors formulate the problem as a Markov
decision process and use numerical experiments to show that the cost savings obtained by the integrated
optimization of spare part inventory and part replacement decisions are significant. Finally, they attempt to validate
their approach, by using real-life data from a collaborative company, i.e. Fugro Marine Services. In the research
presented in this paper, we also attempt to provide an integrated approach to forecast and optimize the spare parts
quantities in bulk needed to cover planned maintenance requirements on an annual basis. Still, this is done quite
differently, by utilizing ML algorithms for clustering and forecasting, while introducing cost optimization only in the
third step of the approach. By evaluating these two approaches in combination, one can actually note that there is
an increased level of complementarity. The model proposed by Eruguz et al. (2018), deals with Condition Based
Maintenance, hence the Markov chain, while this paper deals with tactical Planned Maintenance. The CBM model
in Eruguz et al. (2018) seems to have difficulties in scaling, while the one proposed in this paper utilises a more
condition-agnostic approach, thus is able to scale more efficiently on fleet level and for numerous components. In
our opinion, these two approaches could work in tandem, offering a very strong predictive maintenance approach,
albeit using telemetry data on P-F curves, instead of Markov chains. Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 such as ship age, which in a way determine demand for spare parts. To further reduce the administrative workload
and generate cost optimal scenario in steps, blending of analytics with traditional operations research, i.e. prescriptive analytics, will be examined in an attempt to drive the optimum sourcing decisions on the basis of
minimum Total Cost of Ownership (TCO). As a result, a decision- support tool is formulated that can lead to
significant decrease of the administrative workload and the total time needed to complete the project and provides
viable scenarios for spare parts acquisition strategies that overall yield a total cost saving of 9%. 1. Introduction In that sense, bulk orders ideally would refer to more than
thirty (30) and sometimes reaching up to ninety (90) vessels with a span of several thousand unique items every
year, making it very time-consuming to negotiate with the implicated suppliers and conclude the selection process. Finally, administrative workload is undoubtedly high due to the large number of interconnected parties and
stakeholders participating in the process, which makes it very unwieldy and slow-moving. It is essential that the
administrative costs do not increase unreasonably as a proportion of the value of the purchased items (Huiskonen,
2001). Empirical research results indicate that even in cases with very mature planned maintenance systems
installed, significant additional FTE (Full Time Equivalent) effort is needed for the smooth completion of the
process. The above challenges have triggered the case company, presented in this study, to scour for ways to optimally
address them and unlock further value of the bulk order process. It has to be noted that current practice in the
shipping industry is to leverage experience and simple analytics to determine the optimum quantities, timing and
allocation of suppliers among the procured items. The absence of a sophisticated and well-structured process
drives the total timing of this project to almost nine months (this project is undertaken every year) with the
involvement of multiple departments. The case company looked to ML due to its current strong standing and high
maturity profile in deploying advanced analytics to increase effectiveness and boost efficiency in supply chain areas
such as general consumables forecasting, crew scheduling and strategic network design. This gave rise to the topic
of this research paper which will aim to address the aforementioned key challenges by taming a very sizeable and
overly complex dataset, providing ways to extract useful information and insights from historical data, facilitating
the ability to forecast the needs of the fleet, reducing administrative workload and support the decision-making
process by generating indicative solutions. In the following sections, the applicability of ML in dealing with similar business issues will be examined and the
design of an integrated tool that aims to tackle challenges throughout the bulk ordering process, will be attempted. More specifically, clustering and forecasting of the quantities needed by the vessels will be undertaken, to provide a
laser focused and current view of the critical needs of vessels. This will be done by integrating exogenous factors, -605- 3. The Clustering Component The ordering of spare parts for planned maintenance purposes is a time-consuming project, in part due to the high
number of items that comprise a bulk order. In the interest of industry-wide standardization, each item in the spare
parts industry can be referred with a unique number called a maker reference. In each bulk order, there could be
over 4,000 distinct product codes making it an arduous process to compare the items or even to systemically log the
prices of each supplier. Therefore, it seems important to be able to narrow down the high-interest product codes
for each bulk order to facilitate and expedite the process. From an analytics perspective this is a task best tackled by
the clustering approach, which is one of the most common unsupervised ML techniques (Hinton & Sejnowski
1999). This way the analysis can be focused only on product codes that have been identified as high-interest and
therefore the volume of administrative workload for the departments will be smaller. Identifying the input variables in the unsupervised learning algorithm is of great importance as the relationship
between them will determine the product codes upon which forecasting will be attempted. In this study, we identify
the following input variables: a) Price: which indicates the acquisition price of the item (also accounting for
discounts- if any), b) Quantity: which indicates the number of times the item was bought in the past for planned
maintenance purposes, c) Total Volume: as provided by the product of price times quantity. This variable highlights
the importance of items that have a medium price but are ordered in considerable quantities, thus making the total
volume quite high, d) Number of Unique Vessels: which indicates the number of different vessels that the item is
installed on. This variable increases the importance of an item, even if it doesn’t have a considerable volume, price
or quantity, if it is installed on many vessels and therefore has an increased influence in the uniformity and possible
problems across several vessels and e) Average Age: which indicates the average age of the vessels this item is
installed on. The main goal is to determine the product codes that have an abnormally high price, quantity,
combination of both or/and are installed on several vessels. Therefore, a clustering process is required in order to identify the ‘outliers’ of the dataset, thus labelling the items
that have the characteristics described above. Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 with the one presented in this paper, still they are highlighted in the remainder of this section, for completeness
purposes. Azizah and Subiono (2018) focus exclusively on the spare parts of the ship engine and propose a
Petri-Net approach representing its component’s spare part ordering. Then they elaborate a max-plus algebra model
to obtain the date when the spare part should be ordered. Efficiency measures or cost benefits from applying the
method are not mentioned in the paper. Hmida, Regan and Lee (2013), propose a multicriteria inventory policy
using inventory classification method integrated with a preventive maintenance program. The authors report
savings of thirty-four (34) service days as a result of the decrease in the number of downtime days due to pumps
failure and 10% reduction in inventory, by the application of their approach. Last, but not least, we have to note the
emergence of Additive Manufacturing (AM) in the scientific field of spare parts management for the shipping
industry, which promises to provide disruptive solutions, enhanced flexibility and significant economies for the
whole process (Kostidi & Nikitakos, 2008). 2. Literature Review Second, we have to note the very recent efforts by Jimenez, Bouhmala and Gausdal (2020). In their paper, the
authors develop a predictive maintenance solution based on a computational artificial intelligence model using real-
time monitoring data in the shipping industry. In doing so, they analyze a set of historical sensor data, using the
statistical programming language R. Their results highlight the potential of using big data analytics for developing a
predictive vessel maintenance model. Still, the authors state that there is a number of further issues that have to be
addressed prior to designing the algorithms and a solution based on artificial intelligence. Third, the work of Kian et al., (2019), is considered marginally related to the work presented in this paper in the
sense that it also provides an integrated solution for the challenge of spare parts management for maintenance
scheduling in the maritime industry. But this is where the relevancy with the research presented in our paper stops,
since the authors focus on a specific problem of Condition-Based Monitoring predictive maintenance dealing with
a vessel operating on a given route that is defined by a sequence of port visits. When a warning on part failure is
received, the problem decides when and to which port each part should be ordered, where the latter is also the
location at which the maintenance operation would be performed. The authors use a mathematical programming
model of the problem and a shortest path dynamic programming formulation for a single part to solve the
problem. Furthermore, the validation they use is based on simulation tests of different scenarios and not in actual
case data. Finally, our research produced a small number of references, which attempt to address the issue of spare parts
management in the shipping industry from different perspectives. Their approaches are not directly comparable -606- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 3. The Clustering Component This process is often called anomaly detection (Zimek & Filzmoser
2018). In this paper, the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm (Ester,
Kriegel, Sander & Xu, 1996) is used, as it automatically creates a cluster containing the outliers. DBSCAN is a data
clustering algorithm that given a set of points in some space, classifies in the same category, points that are closely
packed together. At the same time, it marks as outlier points, those that lie in low-density regions. The items are
clustered using DBSCAN algorithm with minPoints=10 and local radius for expanding cluster set to eps = 1.8. The
results are visualized in Figure 1. Cluster 0, hereafter the “Outlier Cluster”, contains the outliers of the analysis. The mean quantity of the Outlier
Cluster is considerably higher than the one of Cluster 1, which contains the clear majority of the data, here on after
the “Average Cluster”. The same can be said for the price of the Outlier Cluster as compared to the price of the
Average Cluster. Evidently, the total volume, which is computed as the product of the aforementioned
characteristics (price and quantity), is also considerably higher. Finally, the number of unique vessels, that as
mentioned before describes the number of distinct vessels that the specific item is installed on, is also considerably
higher in the outlier cluster. However, the average age of the vessels is virtually the same for the two clusters. -607- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 The cluster of k-means was further used as an independent variable in the forecasting analysis of the next
section. The product codes previously identified as cost drivers, will be used as a basis for the bulk order price
collection and winner nomination. Simulation results indicate that approximately 4% of the total items can
represent roughly 50% of the total cost. By leveraging this finding, the purchasing department of any ship
management company can focus only on the pre-identified items to collect prices, assess the quotations,
negotiate with and select the winners and therefore decrease its administrative workload. Concurrently, the
product codes identified as cost drivers will provide the basis for the subsequent steps of this analysis, i.e. the
predictive and prescriptive components. The cluster of k-means was further used as an independent variable in the forecasting analysis of the next
section. The product codes previously identified as cost drivers, will be used as a basis for the bulk order price
collection and winner nomination. Simulation results indicate that approximately 4% of the total items can
represent roughly 50% of the total cost. By leveraging this finding, the purchasing department of any ship
management company can focus only on the pre-identified items to collect prices, assess the quotations,
negotiate with and select the winners and therefore decrease its administrative workload. Concurrently, the
product codes identified as cost drivers will provide the basis for the subsequent steps of this analysis, i.e. the
predictive and prescriptive components. 4. The Predictive Forecasting Component The proposed forecasting model aims to calculate the nominal quantity that a vessel needs in the coming year and
maker reference. The model variables are: a) Average Age: The age of the vessel is one of the most important
vessel characteristics and, as described in the introduction, the maintenance of the vessel and thus the quantities of
the items that will be ordered are highly correlated; b) Average Price: The price of an item is one of the most
important demand characteristics and in the sections below its relationship with the final quantity will be examined;
c) DWT: This variable is an indicator to the size of the vessel and to its needs; d) Type: A categorical variable
which, in combination with DWT, denominates the class of the vessel; e) Origin: This variable indicates the country
of construction of the vessel. It is a categorical variable of three levels: South Korea, Japan and China and aims to
unveil correlations between the shipyard and the quality of the vessel and f) k-Means cluster: denoting one of the
three clusters the item belongs to as per above. The available dataset is divided into 16 core components. In the simulation dataset, there is an evident scarcity of
data for this application therefore one of the main challenges that needs to be addressed is the overfitting of the
models. The training set and the test set with a random 80-20 data partition, as for most of the components, lacks
the number sufficient number of data points to create a validation set. This is a commonplace finding in the
shipping industry where abundance of data availability and quality remains elusive. In addition, time series analysis,
which seems as the most direct approach to such a problem is not applicable in this case due to factors commonly
plaguing such algorithms e.g. multicollinearity, heteroscedasticity and autocorrelation (Hanke and Wichern, 2009) as
well as due to the high degree of influence of the demand by exogenous factors. Considering the aforementioned
limitations, the below models were chosen; •
Random Forest (RF), due to its ability to avoid overfitting (Hastie, Tibshirani & Friedman, 2008) and its
superior efficiency (Ho, 1995). •
Random Forest (RF), due to its ability to avoid overfitting (Hastie, Tibshirani & Friedman, 2008) and its
superior efficiency (Ho, 1995). Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Cluster 2 contains a small fraction of the total items that have a large quantity and are installed on several young
vessels. The product codes that will be included in the analysis are those that are contained in the outlier cluster. To
further analyse the data k-Means clustering on the previously identified high-interest items is performed. Figure 1. Product codes clustered in three clusters using DBSCAN Figure 1. Product codes clustered in three clusters using DBSCAN Figure 2. K-means clustering in the outlier cluster Figure 2. K-means clustering in the outlier cluster Cluster
Description
Data Points
Percentage of Total Cost of Outlier Cluster
1
High volume – young vessels
220
73.27%
2
High volume – old vessels
128
21.68%
3
Low volume
141
5.04%
Table 1. Summarized results for 2nd clustering -608- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 4. The Predictive Forecasting Component •
Generalized Linear Model (GLM), due to its simplicity and its ability to handle error distributions other
than normal ones (Nelder & Wedderburn, 1972). •
Principal Component Regression (PCR); due to its ability to be applied when the number of variables is
high in relation to the number of available data. (Jackson, 1991). For each component the mean absolute percentage error is computed as per the below formula: The results are presented in Table 2. For a number of components, forecasting did not take place as the entries
were not enough to properly train and test the algorithms. As can be seen from Table 2 the forecasting error is, in some cases, considerable while in some cases, where it is
below 40%, it qualifies as satisfactory. The satisfactory error level was determined after interviews with practitioners
of the shipping industry, specifically in the purchasing department. To better visualize the performance of the
algorithms, a snapshot for the forecasting results for the component ‘Compressors’ is depicted in Figure 3. -609- -609- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446
Component
RF
GLM
PCR
Number of Points
Compressors
34%
119%
112%
272
Rods
77%
111%
272%
31
Cylinder Heads
140%
220%
221%
906
Cylinder Liners
111%
311%
301%
157
Fuel Injection Valves
98%
109%
128%
287
Fuel Oil System
22%
45%
34%
26
Pistons
64%
256%
259%
298
Shaft
64%
70%
85%
81
Turbo Chargers
48%
70%
48%
55
Table 2. Mean absolute errors for indicative components Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Figure 3. Forecasting results for the component ‘Compressors’ Figure 3. Forecasting results for the component ‘Compressors’ For the component ‘Fuel Injection Valves’, the error of the random forest algorithm is 98%. As seen in Figure 4,
there are two data points that have order quantity over a hundred items, which is significantly higher than the
average quantity observed. Therefore, a data cleansing method is used to determine such data points and eliminate
them from the training and evaluating sets of the algorithms. In the specific dataset, it is common to come across
data points that can be considered as outliers. In a business sense, this can be explained by a superintended engineer
over/ under estimating actual demand or a vessel having abnormally high/low needs for a specific year due to a
sequence of unplanned maintenance events. 4. The Predictive Forecasting Component Consequently, DBSCAN is used to determine the outliers and exclude
those data points from the analysis, with minPts = 6 and eps = 0.5. Parameter minPts was set to six by multiplying
the dimensions by two. The dimensions for which DBSCAN is applied are only the numeric ones (age of the
vessel, DWT, price of the product code). Parameter eps was dictated by interpreting the k-NN graph (Ester et al.,
1996). Next, the three models described before are applied, trained and tested on the ‘cleaned’ dataset. The training and
testing of the algorithms in a sanitized dataset, produces better results, by reducing the mean average percentage
error by around 36%. Still, there are some components that the outlier handling could not decrease the error to
satisfactory levels, i.e. ‘Cylinder Heads’, ‘Cylinder Liners’. For those components, an analysis of the optimum eps
value is presented in Figure 5. According to Ester et al. (1996), when the eps parameter decreases the number of
data points included in the analysis is increased (the outliers are decreasing). At the same time the forecasting error
decreases as well. As can be seen from the graph, the optimum error (without simultaneous elimination of a
considerable amount of data points) is at eps=0.8. However, the MAPE, after the optimization process, is still
considerably high making it very difficult to rely on the applied forecasting methods for these components with this
dataset. -610- -610- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446
Figure 4. Forecasting results for the component ‘Fuel Injection Valves’
Figure 5. Change of MAPE (left) and number of data points (right) as eps parameter increases for component ‘Cylinder
Heads’ Figure 4. Forecasting results for the component ‘Fuel Injection Valves’ Figure 4. Forecasting results for the component ‘Fuel Injection Valves’ Figure 4. Forecasting results for the component ‘Fuel Injection Valves’ Figure 5. Change of MAPE (left) and number of data points (right) as eps parameter increases for component ‘Cylinder
Heads’ Figure 5. Change of MAPE (left) and number of data points (right) as eps parameter increases for component ‘Cylinder
Heads’ The least mean absolute error for each component for all methods (RF, PCR, GLM) are presented in Table 3,
showcasing that the best performing method for the vast majority of the components is the random forest
algorithm. Table 3. Least mean absolute error for indicative components for all methods Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Mean absolute errors for extra needs for indicative components Component
Minimum MAPE
Method
Rods
0%
Random Forest No Outliers
Drive Section
0%
Random Forest
Fuel Injection Valves
88%
Random Forest No Outliers
Pumps
14%
Random Forest No Outliers
Purifiers
6%
Principal Component Regression No Outliers
Turbo Chargers
0%
Random Forest
Table 4. Mean absolute errors for extra needs for indicative components 4. The Predictive Forecasting Component This result was expected as the random forest algorithm best handles the exogenous factors that
influence the outcome in a stochastic manner that makes it impervious to over/ under fitting (Hastie et al., 2008). Component
Minimum MAPE
Method
Compressors
31%
Random Forest No Outliers
Rods
0%
Random Forest No Outliers
Cylinder Heads
125%
Random Forest No Outliers
Cylinder Liners
111%
Random Forest
Fuel Injection Valves
44%
Random Forest No Outliers
Purifiers
46%
Random Forest No Outliers
Fuel Oil System
10%
Random Forest No Outliers
Pistons
53%
Random Forest
Shaft
29%
Random Forest No Outliers
Turbo Chargers
0%
Random Forest No Outliers
Table 3. Least mean absolute error for indicative components for all methods -611- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Finally, the exceptional case of items that are reordered during the same period is studied. This reordering is either
due to miscalculation of the vessel’s needs, unplanned maintenance events or failure of previously bought
equipment. To determine those additional quantities a forecasting process is used. The forecasts are generated by
following the same sequence of actions as for the nominal quantities with one additional dimension, i.e. Bulk
Market. This variable is a categorical variable with two levels: maker or parallel, i.e. purchased from original
equipment manufacturer or from a source providing imitation spares, respectively. The variable will be used to
explore possible correlation between the source of purchase and the additional quantities. The results are presented
in Table 4. The forecasting of the extra quantities is performed only on a small number of components (12 out of
16) as the rest do not exhibit variations in the data making the completion of the training very challenging. Especially after outlier handling the number of forecastable components drops even further, from 12 to 8. This
particular finding could generate an area for further research in the future. In conclusion, forecasting the nominal needs of the vessels exhibits satisfactory results (average MAPE 53%) and
could, in the future when the training samples increase, become more accurate. For some specific components that show increased accuracy, e.g. fuel oil system (MAPE = 10%) the tool can be
used to expedite the process, while decreasing the workload both for the vessel and for the shore- based engineers. However, the forecasting of the extra needs does not yield such results. The average MAPE is increased compared
to the forecasting of the nominal quantities, while the number of components upon which forecasting is applied
decreases. In the next section, the forecasting results are used to create the cost optimizer that leads to optimum
allocation of items to vendors so as to minimize total cost of the bulk orders. Component
Minimum MAPE
Method
Rods
0%
Random Forest No Outliers
Drive Section
0%
Random Forest
Fuel Injection Valves
88%
Random Forest No Outliers
Pumps
14%
Random Forest No Outliers
Purifiers
6%
Principal Component Regression No Outliers
Turbo Chargers
0%
Random Forest
Table 4. where: SS is the safety stock and WACC is the weighted average cost of capital with WACC •
Stock out cost: this cost component represents the costs that are incurred when an item that should have
been on board the vessel is not. For its computation the authors present a novel approach as an inverse
function of the Safety Stock SL variable •
Stock out cost: this cost component represents the costs that are incurred when an item that should have
been on board the vessel is not. For its computation the authors present a novel approach as an inverse
function of the Safety Stock SL variable 5. Cost Optimization Component The cost optimization prescriptive model ties in the entire bulk order analytics framework and shifts it toward the
decision support domain by serving as a guideline on the optimal cost basis of spare parts procurement. The model
facilitates the choices whether each spare part should be ordered more times than the nominal need of the vessel
and whether it should be bought from maker or from the parallel market. The components of the cost function are
the following: •
Acquisition cost: it represents the cost of purchase for each item. It depends on the total quantities and on
the acquisition price of each item. What needs to be noted here is that for the two main categories of
suppliers, makers and parallels, the acquisition price changes considerably. •
Acquisition cost: it represents the cost of purchase for each item. It depends on the total quantities and on
the acquisition price of each item. What needs to be noted here is that for the two main categories of
suppliers, makers and parallels, the acquisition price changes considerably. Where safety stock depends on the desired service level (SL). The safety stock will also be added to the
acquisition and transportation cost as it is assumed that both the target inventory and the safety stock are
bought together, considering that price fluctuations in the spare parts are not high. The safety stock follows
the formula below (Ballou, 2003). -612- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Where LT is the lead time, Z¬SL is the inverse distribution function of a standard normal distribution
with cumulative probability of the underlying service level and demand refers to the historical demand of
the relevant item. For both the lead time and average demand there are more than 30 observations
therefore by the central limit theorem it can be said that these variables satisfy the underlying assumptions
(i.e. normal distribution) of the above formula. •
Transportation cost: this cost component represents the cost of the transportation of each item on board the
vessel. This cost depends on several parameters such as the location of the supplier, the trading route of
the vessel, any specific requirements for clearance etc. For the purposes of this analysis it is assumed that
the transportation cost depends mainly on the lead time which determines the transportation mode to
main logistics hubs, e.g. the Netherlands. Empirical research indicates that there are two main regions from which ship spare parts can be sourced:
Europe and Far East (Japan, Korea and China). Without loss of generality, we assume that around 30% of
the spare parts are sourced in Europe wherein we will assume transportation costs to be zero, given the
proximity of the vessels and the high frequency that they call European ports. Therefore, according to the
above the final formula for the transportation cost is the below: •
Inventory Cost: this cost component represents the costs that are incurred because of the inventory held on
the vessel. The inventory cost follows the simple formula below •
Inventory Cost: this cost component represents the costs that are incurred because of the inventory held on
the vessel. The inventory cost follows the simple formula below where: SS is the safety stock and WACC is the weighted average cost of capital with WACC ∈ [3%, 8% 5.1. Acquisition Cost The main components of the acquisition cost are the total quantities and the purchase price. To determine the level
of the nominal needs and any additional quantities for each product code the best performing model (the one
exhibiting the smallest MAPE) was used (see Table 3). Figure 6, depicts the final quantities (nominal + extra) for
‘Fuel Injection Valves’, and the differences created from the sourcing parameter (maker/parallel). Next, the safety
stock for each item is calculated. The average demand and standard deviation of are computed regardless of the
market, using past data. The lead time assumes on-hand stock availability from makers and a range between 5 and
35 days from the parallel market. -613- -613- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446
Figure 6. Extra needs depending on the market for component ‘Fuel Injection Valves’ Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Figure 6. Extra needs depending on the market for component ‘Fuel Injection Valves’ Lastly, to make the calculation stochastic in nature rather than deterministic, and account for the forecast errors of
the previous models for each component the forecast bias is computed, and it is determined whether there is an
over-forecasting or an under-forecasting bias. If there is an over-forecasting bias, then the safety stock computed is
multiplied by the accuracy of the forecast of nominal quantities. The forecast bias is computed using the following
formula: This forecast bias, is sometimes called the normalized forecast metric. As can be seen, the metric [-1, +1] where 0
indicates the absence of forecast bias (Singh, 2017). Negative values show a tendency to under-forecast and positive
values to over-forecast. In a business sense, the safety stock is needed to cover needs arising from either demand
and/ or lead time variability, e.g. unplanned maintenance events or manufacturing issues at supplier. However, if the
demand has been forecasted with a method that indicates positive bias the final quantity that will be purchased will
be unnecessarily high. This reasoning explains the final formula of the safety stock. An example of a positive
forecast bias for the component ‘Cylinder Liners’ is shown in Figure 7. As seen in Figure 7, the forecast for some components tends to overestimate the quantities that will ultimately be
needed to cover the planned maintenance needs of the vessel. Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Random service levels were used to compute the total cost of the items and the service level having the minimum
total cost was identified as the optimum service level and was used in the final step of the prescriptive model. The
random service levels were chosen in the range of 95% to 99.9%. As the items ordered in the bulk process are
critical for the smooth running of machinery, this range was chosen to address business and technical needs often
found in the shipping industry. In Figure 8, one can see a high fluctuation of the total cost (around 20%) as the
service level changes, highlighting the need to determine the optimum service level. Minimum cost is achieved for different service levels for makers (maker optimum service level = 95.18%) and for
non-makers (parallel optimum service level = 96.31%), which is explained by the changes in the underlying
quantities which can be observed in Figure 9. To calculate the acquisition cost of each item the prices of the items depending on the market were determined
using historical data. Figure 8. Cost of an indicative item of component ‘Connecting
Rods’ as a function of the service level
Figure 9. Total quantity of an indicative item of component
‘Connecting Rods’ as a function of the service level Figure 8. Cost of an indicative item of component ‘Connecting
Rods’ as a function of the service level Figure 8. Cost of an indicative item of component ‘Connecting
Rods’ as a function of the service level Figure 8. Cost of an indicative item of component ‘Connecting
Rods’ as a function of the service level Figure 9. Total quantity of an indicative item of component
‘Connecting Rods’ as a function of the service level Figure 9. Total quantity of an indicative item of component
‘Connecting Rods’ as a function of the service level 5.1. Acquisition Cost Therefore, the over forecasted quantities can be used
as safety stock. This will avoid over-stocking the vessels with unnecessarily high quantities of items that have been
forecasted with methods that exhibit high positive forecast bias. To determine the optimum service level of each
product code exhaustive enumeration was used, as the problem size is limited and there are no problem-specific
heuristics to reduce the set of candidate solutions to a manageable size. As seen in Figure 7, the forecast for some components tends to overestimate the quantities that will ultimately be
needed to cover the planned maintenance needs of the vessel. Therefore, the over forecasted quantities can be used
as safety stock. This will avoid over-stocking the vessels with unnecessarily high quantities of items that have been
forecasted with methods that exhibit high positive forecast bias. To determine the optimum service level of each
product code exhaustive enumeration was used, as the problem size is limited and there are no problem-specific
heuristics to reduce the set of candidate solutions to a manageable size. Figure 7. Example of positive forecast bias in the component ‘Cylinder Liners’ Figure 7. Example of positive forecast bias in the component ‘Cylinder Liners’ -614- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 where is the percentage of the times that on an urgent basis the parts are bought from the maker. For the purposes
of this simulation we will assume a=0.5 and where SL is the service level for each item. where SL is the service level for each item. where the urgency factor can be defined as - 5.2. Stock-out Cost This cost component represents the cost of urgently re-supplying the vessel with the item, if the existing stock runs
out. Stock-out cost is normally higher than the previous costs since there is no time to receive quotations from
several vendors or to make extensive price negotiations. When a requisition is made on an urgent basis, lead time is
of critical importance and the transportation cost of the shipment can be higher due to an inconvenient delivery
port and/or because there might be no additional orders to achieve economies of scales in either airfreight, road
freight or launch boat cost. The components of the stock out cost are analysed below: -615- -615- 6. Results To evaluate the performance of the proposed model, here on after ‘Model 1’, we are including a comparison with
the common practice in the maritime industry here on after ‘Model 2’. The results are shown in Table 5. From empirical research, we have concluded that ship management companies do not take stock out cost into
consideration when determining the quantities needed for the fleet and the underlying stockout probability on
average is 25%. As can be derived from Table 6 there is a well expected difference in total costs after the application
of the two alternatives, i.e. Model 1 and Model 2. Figure 10, visualizes the difference between the total costs in the four cost components after the implementation of
Models 1 and 2. It is evident that the cost components that drive this difference are the acquisition and the stock out costs. The
increased acquisition cost can be attributed to two main factors: quantity increase due to safety stock estimation and
alternate choice between more expensive spare parts purchased from original manufacturers over imitation spare
parts. As previously said the stock out cost of Model 2 was calculated assuming that the actual quantities did not
account for safety stocks. Figure 11, visualizes the effect of the probability of stock out in actual savings from the
implementation of Model 1. The implementation of the model is expected to generate savings from the first year
of implementation when the underlying probability of stock out for Model 2 is more than 30%. Parameters/ Variables
Model 1
Model 2
Service Level
Variable [95% - 99.9%]
Constant [75%]
Extra Quantities
Included
Not Included
Stock Out Cost
Included
Not included
Inventory Cost
Included
Not Included
Transportation Cost
Included
Included
Table 5. Comparison of the Models Table 5. Comparison of the Models -616- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem
Component
Delta between Model 1 and Model 2
Compressors
37%
Camshaft
-16%
Rods
-1%
Cylinder Heads
24%
Cylinder Liners
4%
Drive Section
-28%
Fuel Injection Valves
-35%
Pumps
-48%
Purifiers
13%
Fuel Oil System
-31%
Lubricating Oil Purifiers
6%
Diesel Generator
5%
Mechanical System
170%
Pistons
35%
Shaft
160%
Turbo Chargers
9%
Total
4%
Table 6. 6. Results Comparison of total costs incurred after application of Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem
Component
Delta between Model 1 and Model 2
Compressors
37%
Camshaft
-16%
Rods
-1%
Cylinder Heads
24%
Cylinder Liners
4%
Drive Section
-28%
Fuel Injection Valves
-35%
Pumps
-48%
Purifiers
13%
Fuel Oil System
-31%
Lubricating Oil Purifiers
6%
Diesel Generator
5%
Mechanical System
170%
Pistons
35%
Shaft
160%
Turbo Chargers
9%
Total
4%
Table 6. Comparison of total costs incurred after application of
M d l 1
d M d l 2 Component
Delta between Model 1 and Model 2
Compressors
37%
Camshaft
-16%
Rods
-1%
Cylinder Heads
24%
Cylinder Liners
4%
Drive Section
-28%
Fuel Injection Valves
-35%
Pumps
-48%
Purifiers
13%
Fuel Oil System
-31%
Lubricating Oil Purifiers
6%
Diesel Generator
5%
Mechanical System
170%
Pistons
35%
Shaft
160%
Turbo Chargers
9%
Total
4%
Table 6. Comparison of total costs incurred after application of
Model 1 and Model 2
Figure 10. Percentage change across Model 1 and Model 2 Figure 10. Percentage change across Model 1 and Model 2 Figure 10. Percentage change across Model 1 and Model 2 What needs to be noted here is that the increased quantities purchased in the first year can be considered as an
investment which, keeping all other factors stable, would be paid back in full in the 2nd year of implementation of
Model 1 regardless of the probability of stock out. In the first year of implementation, the purchase of higher
quantities to serve as inventory is proposed increasing the acquisition cost by 27% compared to Model 2. In total,
the acquisition cost is increased 13% accounting for the nominal purchases of the 2 years and the creation of a
safety stock on board the vessels. On the other hand, by implementing Model 1 the stock out cost dramatically
decreases (22% decrease) resulting in total cost savings of around 9% as shown in Figure 12. -617- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446
Figure 11. Sensitivity analysis for stock out probability
Figure 12. Final total costs incurred for 2 years Figure 11. Sensitivity analysis for stock out probability Figure 11. Sensitivity analysis for stock out probability Figure 12. Final total costs incurred for 2 years Figure 12. 6. Results Final total costs incurred for 2 years In conclusion, the analysis indicates that the purchase of safety stock will lead to decreased costs from the second
year of implementation. The safety stock demands an initial investment of almost one quarter of the total
acquisition cost that, according to the model, will decrease the stock out probability, thus decreasing the total costs
of the process. In conclusion, the analysis indicates that the purchase of safety stock will lead to decreased costs from the second
year of implementation. The safety stock demands an initial investment of almost one quarter of the total
acquisition cost that, according to the model, will decrease the stock out probability, thus decreasing the total costs
of the process. Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Based on the results described above, the authors conclude that the adoption and application of their proposed
methodology from shipping companies managing and operating a large fleet of vessels has the potential to produce
meaningful results ranging from soft benefits, such as the rationalization of the workload of the purchasing
department and its third party collaborators to hard, quantitative benefits, such as reducing the cost of the bulk
ordering process, which directly affects a company’s bottom line. Inherent limitations do exist in the proposed
approach, such as the concept of endogeneity. In purchasing, traditionally prices are ‘manipulated’ by the choice of
the supplier. The proposed approach indirectly assumes that quantity is, among others, a function of price, which
often is not accurate, since the price suffers from shocks relative to the choice of the supplier. The authors, in
coordination with the case company, decided not to treat the endogeneity issue. First, because the actual business
impact of such an intervention was deemed by purchasing executives as not practical and efficient, since
year-to-year price surges were spotted in just a few large suppliers and second because development was at risk in
falling into an unnecessary and not cost-effective vicious cycle, performing an iteration process in order to correct
the error between the quantity that was forecasted with a certain price and the actual quantity that might have a
different price minimum. In other words, a change in the supplier of an item, would create a new price, and the
combination of price-item as an input in the forecasting tool, could generate a different quantity, potentially leading
back to a different choice of supplier/ service level etc. Further research on the subject includes the re-evaluation of the entire algorithmic framework using datasets with
larger breadth in terms of independent variables and depth in terms of observations. More specifically, with a
sizeable enough critical mass of data, deep learning algorithms could be performed and assessed to see if they
would further improve accuracy and performance indicators, such as the Mean Absolute Percentage Error
produced by the statistical forecasting tool. Moreover, the companies adopting the tools proposed in this paper
should re-evaluate the P-F curves of the critical items identified by the clustering algorithms, especially if their
origin is from the parallel market. Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 in the third methodological step, a cost-related decision support tool is developed to cost-effectively allocate the
selected items to a group of vendors. in the third methodological step, a cost-related decision support tool is developed to cost-effectively allocate the
selected items to a group of vendors. The application of our proposed approach produced several interesting findings that can fuel fruitful discussions
at the decision-making level of the companies in the shipping industry. First, one has to note the value of
clustering, when applied to the item codes dataset. In the benchmarking dataset chosen in this paper, focusing on
the 4% of high- interest items which contribute to 50% of the total process cost, results in a significant
reduction of the administrative workload for both the internal departments involved in such a process as well as
the suppliers. The use of the proposed statistical forecasting tool for the nominal needs of the vessels, initially
produces satisfactory results (average MAPE 53%), which can potentially further improve with the training of
the samples. Additionally, for specific components that show increased accuracy, e.g. fuel oil system
(MAPE = 10%), the tool can be used to expedite the process while decreasing the workload both for the vessel
and for the shore- based engineers. However, a further analysis including more independent variables, related to
the types of machinery and their nominal running hours etc. could be performed in the future as they were out
of the scope of this paper. In addition, the proposed prescriptive model suggests that increased quantities will potentially lead to total cost
savings of 9% versus the baseline case depicted in Model 2. This comes as a result of the high contribution of the
stock out cost to the total cost function. Indeed, the cost to deliver an item on board at expedite/urgent conditions
is very high. Even if the previous exercise showed no influence of the source of purchase on the extra quantities,
the prescriptive model suggests an increased allocation of items to makers. This, however, mainly stems from the
fact the makers have lower delivery lead times, thus driving the safety stock down. In summary, the application of
the proposed prescriptive model suggests an initial investment on increased safety stock that would be paid back in
full (all other factors constant) after the 2nd year of implementation. 7. Conclusions The main objective of this paper is to propose a methodological approach supporting the spare parts’ bulk
ordering process of companies managing and operating a fleet of vessels in the shipping industry. Studying the
literature on spare parts management in the shipping industry and its intersection with ML- enhanced forecasting
techniques and tools, confirmed the authors’ initial assumption, that the shipping industry lags behind in both
understanding and further more utilizing these techniques and tools in the every-day business practice. Literature
proves that spare parts forecasting with the use of ML is still an area at its infancy for the companies of the
shipping industry and that is exactly where the research presented in this paper sets its focus. That is to provide
proof to shipping industry professionals that ML can be a useful and efficient tool that they can understand, master
and apply to their everyday practice. The proposed approach is based on the development of a comprehensive decision support tool able to facilitate
the process of the bulk orders and optimize the purchasing decisions. The approach consists of three discrete
methodological steps, each one supported by a decision support tool based on clustering and ML algorithms. In the
first step, the initial dataset is rationalized using clustering techniques to reduce the base of analysis by identifying
the high interest items. The rationalization refers directly to the reduction of workload for the departments
involved in the process and the creation of a targeted and added value subset for further analyses. The next step
involves the development of a forecasting tool for estimating the expected needs of the fleet regarding the
previously identified items and to test whether the needed quantity is influenced by the source of purchase. Finally, -618- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Retrieving and consolidating this information in a structured format from the
engineering crew onboard, in between overhauls with the bulk order spare parts, would subsequently pave the way
for a more holistic predictive/ condition-based maintenance model. The latter should gauge this improved visibility
into the spare part reliability, when predicting demand or prescribing outcomes for optimum total cost of
ownership. -619- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Declaration of Conflicting Interests The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication
of this article. Funding This research has been co-financed by the European Union and Greek national funds through the Operational Program
Competitiveness, Entrepreneurship, and Innovation, under the call RESEARCH—CREATE—INNOVATE (project
code T1EDK-01168). References Azizah, F., & Subiono, S. (2018). Max Plus Algebra and Petri Net Application on Scheduling of Ship Engine
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assets. IISE Transactions, 50(3), 230-245. https://doi.org/10.1080/24725854.2017.1312037 Ester, M., Kriegel, H.P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters a density-
based algorithm for discovering clusters in large spatial databases with noise. Proceedings of the Second
International Conference on Knowledge Discovery and Data Mining (226-231). Portland, U.S.A. anke, J., & Wichern, D. (2009). Business Forecasting. New Jersey: Pearson. Hanke, J., & Wichern, D. (2009). Business Forecasting. New Jersey: Pearson. Hastie, T, Tibshirani, R., & Friedman, J. (2008). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Stanford: Springer. Hinton, G., & Sejnowski, T. (1999). Unsupervised learning: Foundation Computation. Massachusetts: MIT Press. https://doi.org/10.7551/mitpress/7011.001.0001 Hmida, J.B., Regan, G., & Lee, J. (2013). Inventory management and maintenance in offshore vessel industry. Journal
of Industrial Engineering. https://doi.org/10.1155/2013/851092 Ho, T.K. (1995). Random Decision Forests. Proceedings of the 3rd International Conference on Document Analysis and
Recognition (1, 278-282). IEEE. Huiskonen, J. (2001). Maintenance spare parts logistics: Special characteristics and strategic choices. International
Journal of Production Economics, 71(1-3), 125-133. https://doi.org/10.1016/S0925-5273(00)00112-2 Jackson, E. (1991). A User's Guide to Principal Components. New York: John Wiley & Sons. https://doi.org/10.1002/0471725331 Jiang, C., Kong, M., & Liu, M. (2011). Research on the storage scheme of spare parts for long voyage vessel. Proceedings of the 9th International Conference on Reliability, Maintainability and Safety (1173-1178). IEEE. https://doi.org/10.1109/ICRMS.2011.5979475 Jimenez, V.J., Bouhmala, N., & Gausdal, A.H. (2020). Developing a predictive maintenance model for vessel
machinery. Journal of Ocean Engineering and Science, 5(4), 358-386. https://doi.org/10.1016/j.joes.2020.03.003 Kian, R., Bektaş, T., & Ouelhadj, D. (2019). Optimal spare parts management for vessel maintenance scheduling. Annals of Operations Research, 272(1-2), 323-353. https://doi.org/10.1007/s10479-018-2907-y Kostidi, E., & Nikitakos, N. (2018). Is it time for the maritime industry to embrace 3d printed spare parts?. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 12(3), 557-564. https://doi.org/10.12716/1001.12.03.16 Lun, Y.H.V., Lai, K.-H., & Cheng, T.C.E. (2010). Shipping and Logistics Management. London, UK: Springer-Verlag. https://doi.org/10.1007/978-1-84882-997-8 -620- Journal of Industrial Engineering and Management – https://doi.org/10.3926/jiem.3446 Nelder, J.A., & Wedderburn, R.W. (1972). Generalized linear models. Journal of the Royal Statistical Society: Series A
(General), 135(3), 370-384. https://doi.org/10.2307/2344614 Nenni, M., & Schiraldi, M.M. (2013). Optimizing spare parts inventory in shipping Industry. International Journal of
Engineering and Technology, 5(3), 3152-3157. Singh, S. (2017). A Critical Look at Measuring and Calculating Forecast Bias. The Institute of Business Forecasting
& Planning [online]. https://demand-planning.com/2017/01/13/a-critical-look-at-measuring-and-calculating-forecast-
bias/ (Accessed: October 2020). Vukić, L., Stazić, L., Pijaca, M., & Peronja, I. (2021). Modelling the optimal delivery of spare parts to vessels:
Comparison of three different scenarios. Cogent Engineering, 8(1), 1920565. Vukić, L., Stazić, L., Pijaca, M., & Peronja, I. (2021). Modelling the optimal delivery of spare parts to vessels:
Comparison of three different scenarios. Cogent Engineering, 8(1), 1920565. https://doi.org/10.1080/23311916.2021.1920565 Zimek, A., & Filzmoser, P. (2018). There and back again: Outlier detection between statistical reasoning and data
mining algorithms. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(6), 1-26. https://doi.org/10.1002/widm.1280 Journal of Industrial Engineering and Management, 2021 (www.jiem.org) Journal of Industrial Engineering and Management, 2021 (www.jiem.org) Journal of Industrial Engineering and Management, 2021 (www.jiem.org) Article’s contents are provided on an Attribution-Non Commercial 4.0 Creative commons International License. Readers are
allowed to copy, distribute and communicate article’s contents, provided the author’s and Journal of Industrial Engineering and
Management’s names are included. It must not be used for commercial purposes. To see the complete license contents, please
visit https://creativecommons.org/licenses/by-nc/4.0/. -621-
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Assessment of Knowledge of Obstetric Danger Signs During Pregnancy Among Pregnant Mothers in Wolaita Sodo Hospitals and Sodo Town Health Centers in 2017
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www.iiste.org www.iiste.org Journal of Health, Medicine and Nursing Journal of Health, Medicine and Nursing
ISSN 2422-8419 An International Peer-reviewed Journal
DOI: 10.7176/JHMN
Vol.65, 2019 DOI: 10.7176/JHMN Abstract Background: Pregnancy complications are the major health problems among women in developing countries. Approximately 529,000 women die from pregnancy related causes annually and almost all (99%) of these maternal
deaths occur in developing countries. Objective: To assess knowledge of pregnant mothers towards obstetric
danger signs during pregnancy in Wolaita Sodo town health centers and hospital, April- May, 2017.Methods:
Institutional based cross-sectional quantitative study was conducted in April-May,2017, on a sample of 365
mothers who are at least 4 months pregnant for prim gravid and multpara pregnant mothers selected from,11
urban Kebeles of Wolaita sodo town and simple random sampling technique was employed to select the study
participants.Results: A total of 365 pregnant mothers were enrolled in the study giving a response rate of 100%. The study participants from selected urban kebeles constituted 100%. (46%) of the study participants were found
to have poor knowledge. Respondents who got obstetric danger signs information from health institution had 2
times good knowledge of obstetrics danger signs than those respondents who didn’t get information from the same
source. Participants who had formal education have 2.5 times knowledgeable than a participants who had informal
education obstetric danger signs.Conclusion: Knowledge of study participants was assessed that 54% of
participants have knowledge about obstetric danger signs during pregnancy and only 34% have knowledge about
obstetrics danger signs during labor and child birth. Publication date: August 31st 2019 Publication date: August 31st 2019 Assessment of Knowledge of Obstetric Danger Signs During
Pregnancy Among Pregnant Mothers in Wolaita Sodo Hospitals
and Sodo Town Health Centers in 2017 Tilahun Saol Tura*
Afflation: Department of Neonatology and Pediatric Nursing, College of Health Sciences and Medicine,Wolaita
Sodo University, Wolaita Sodo, Ethiopia Masresha Assefa Demissie
Afflation: Department of Neonatology and Pediatric Nursing, College of Health Sciences and Medicine,Wolaita
Sodo University, Wolaita Sodo, Ethiopia Masresha Assefa Demissie
Afflation: Department of Neonatology and Pediatric Nursing, College of Health Sciences and Medicine,Wolaita
Sodo University, Wolaita Sodo, Ethiopia Statement of the problem Every minute, a woman dies due to causes related to pregnancy, childbirth and postnatal period [13].Maternal deaths
are avoidable, if women with complications are able to identify and seek appropriate emergency obstetric care
which makes a difference between life and death [14]. Maternal deaths have both direct and indirect causes. Around 80% of maternal deaths worldwide are brought
about by direct obstetric complications the five major global causes of maternal death are:- severe bleeding (mostly
bleeding postpartum), infections (also mostly soon after delivery), unsafe induced abortion, hypertensive disorders
in pregnancy (eclampsia) and obstructed labour. Globally, about 80% of maternal deaths are due to these causes
[6]. Hemorrhage alone accounts for one third of all maternal deaths in Africa, yet many of these deaths are
preventable. Severe bleeding after birth can kill a healthy woman within two hours if she is unattended. Obstetric
fistula resulting from obstructed labor is a long term complication suffered by as many as two million women (7). Indirect causes such as malaria, diabetes, hepatitis, anemia and other cardiovascular disorders which are
aggravated by pregnancy can also lead to maternal death [1, 3].Awareness of the danger signs of obstetric Hemorrhage alone accounts for one third of all maternal deaths in Africa, yet many of these deaths are
preventable. Severe bleeding after birth can kill a healthy woman within two hours if she is unattended. Obstetric
fistula resulting from obstructed labor is a long term complication suffered by as many as two million women (7). Indirect causes such as malaria, diabetes, hepatitis, anemia and other cardiovascular disorders which are
aggravated by pregnancy can also lead to maternal death [1, 3].Awareness of the danger signs of obstetric
complications is the essential first step in accepting appropriate and timely referral to obstetric and newborn care. Raising awareness of women on danger signs of pregnancy, childbirth and the postpartum period improve mothers’
attitude to seek medical care and is crucial for safe motherhood. (11) When mothers do not recognize the danger signs in pregnancy, adverse effects can occur to the mother, the
unborn baby, or the pregnancy itself. Adverse effects include: Illness or death of the mother, for instance, severe
bleeding can lead to anemia or death of the mother, infection to the unborn baby through prematurely ruptured
membranes, when amniotic fluid leaks from the vagina. Background Danger
signs during the postpartum period include severe bleeding following childbirth, loss of consciousness after 1 Journal of Health, Medicine and Nursing www.iiste.org DOI: 10.7176/JHMN ISSN 2422-8419 An International Peer-reviewed Journal
Vol.65, 2019 childbirth, and fever. Hemorrhage remains the leading cause of maternal mortality, accounting for approximately
one third of deaths [7].Many of the complications that result in maternal deaths contributing to prenatal deaths are
unpredictable, and their onset can be both sudden and severe. The complications leading to maternal death can
occur without warning at any time during pregnancy and childbirth [8].Low awareness of danger signs and
symptoms during pregnancy, labor, delivery and postpartum contribute to delays in seeking and receiving skilled
care. Awareness of the danger signs of obstetric complications is the essential first step in accepting appropriate
and timely referral to obstetric and newborn care. Knowledge of obstetric danger signs and birth preparedness are
strategies aimed at enhancing the utilization of skilled care during low risk births and emergency obstetric care in
complicated cases in low income countries. Increased knowledge and awareness is essential for reducing delays
in seeking health care and in reaching a health facility. Communities and individuals should be empowered not
only to recognize pregnancy related risks, but they must also have the means to react quickly and effectively once
such problems arise [9-11] p
The national reproductive strategy of Ethiopia has given emphasis to maternal and newborn health so as to
reduce the high maternal and neonatal mortality. The strategy focuses on the need to empower women, men,
families and communities to recognize pregnancy related risks, and to take responsibility for developing and
implementing appropriate response to them. One of the targets in the strategies is to ensure that 80% of all families
recognize at least three danger signs associated with pregnancy related complications by 2010 in areas where
health extension program is fully implemented [12]. Background Pregnancy complications are the major health problems among women in developing countries. Approximately
529,000 women die from pregnancy related causes annually and almost all (99%) of these maternal deaths occur
in developing countries. The global maternal mortality is unacceptably high [1]. Although there was significant
progress in all developing regions, the average annual percentage decline in the global maternal mortality ratio
(MMR) was 3.1%, short of the millennium Development Goals (MDGs) target of 5.5%. Every day, almost 800
women still die due to pregnancy or child birth, and for every woman who dies 20 or more experience serious
complications. One of the United Nations‟ MDGs is to reduce MMR by 75% by 2015 [2]. Developing countries account for 99% (284,000) of the global maternal deaths, the majority of which are in
sub-Saharan Africa (162,000) and Southern Asia (83,000). These two regions accounted for 85% of global burden,
with sub-Saharan Africa alone accounting for 56%.The average maternal mortality ratio in developing countries
in 2010 was 240 per 100,000 births versus 16 per 100,000 in developed countries reflecting inequities in access to
health services, and highlighting the gap between rich and poor. Sub-Saharan Africa had the highest maternal
mortality ratio at 500 maternal deaths per 100,000 live births. According to a systematic analysis of progress
towards Millennium Development Goal 5 more than 50% of all maternal deaths in 2008 were in only six countries
(India, Nigeria, Pakistan, Afghanistan, Ethiopia, and the Democratic Republic of the Congo[3].The situation in
Ethiopia is similar to the situation in many developing countries. In Ethiopia the levels of maternal mortality and
morbidity are among the highest in the world and the current estimate of MMR is 353per 100, 000 live births and
it is reported that Maternal deaths accounted for 30% of all deaths to women age 15-49 [4].Reduction of mortality
and morbidity of both mother and newborn have been identified as priority areas need urgent attention by the
health sector. Maternal morbidity and mortality could be prevented and minimized significantly if women and
their families recognize obstetric danger signs and promptly seek health care [5-6].The commonest danger signs
during pregnancy include severe vaginal bleeding, swollen hands/face and blurred vision. Key danger signs during
labor and childbirth include severe vaginal bleeding, prolonged labor, convulsions, and retained placenta. Significance of the study As there is no adequate information on obstetric danger signs Knowledge, the study result will be vital and can be
used as an input for maternal health curriculum, strategy and package establishment. This study will provide basic
data on the issue that may help policy makers and as baseline data for MOH to reduce the highest maternal
mortality rate of Ethiopia. In addition to this, this study can have the following importance to different stake holders. The outcome of
the study can be an input for concerned policy makers in decision making process regarding obstetric danger signs
for pregnant and delivered mothers. And also it serves as an input for health education program undertaken by
different organizations so as to keep the pregnant and delivered mothers being aware of the consequence of
obstetric danger signs. OBJECTIVE To assess knowledge of obstetric danger signs during pregnancy among mothers In Wolaita S
Health centers and wolaita sodo teaching and referral hospital, SNNPR, Ethiopia April- May, 2 Statement of the problem In spite of great potential of knowledge, attitude and practice of obstetric danger signs in reducing
the maternal and newborn deaths its status are not well known in most of Sub-Saharan Africa including Ethiopia
[15] [
]
The study therefore aims to fill this gap by assessing the current status of knowledge of danger signs among
mothers in the study area. Statement of the problem If not attended to, this can lead to fetal or neonatal
morbidity and mortality, termination of a pregnancy before term in vaginal bleeding (9). Maternal hypertension or fever, can lead to increased numbers of neonatal deaths or prematurely born babies
who may eventually die due to inadequate facilities to care for them [2].A mothers’ death in childbirth denies her
children their natural, primary care giver and significantly increases the risk that her infant will die or fail to survive
to age 5. A mothers’ death also has an extremely detrimental effect on her children’s access to education and health
care. Many children who survive without mothers also risk being emotionally lost [1-3]. Most maternal deaths are
avoidable, as the health care solutions to prevent or manage complications are well known. All women need access
to antenatal care in pregnancy, skilled care during childbirth, and care and support in the weeks after childbirth. It
is particularly important that all births are attended by skilled health professionals, as timely management and
treatment can make the difference between life and death [1,2]. According to the Ethiopian Federal Ministry of Health, only10% of the deliveries is attended by health
professionals. In one nation where the maternal mortality ratio is 353 per 100,000 live and IMR 51.1/1000 and
NMR 27.7/1000 live births which are the highest in the world. In Ethiopia, there is little information about the
knowledge of obstetric danger signs during pregnancy since the introduction of Health Extension Workers (HEWs),
despite the national Reproductive strategy aim to raise the awareness to 80% in the area in which HEW are
deployed [12].Studies conducted in Aleta Wondo district, indicated that the knowledge level of pregnant women
about obstetric danger signs (during pregnancy, childbirth and postpartum period) was low and affected by
residential area. Therefore, the identified deficiencies in awareness should be addressed through maternal and child
health services by designing an appropriate strategies including provision of targeted information, education and 2 Journal of Health, Medicine and Nursing g
g
ISSN 2422-8419 An International Peer-reviewed Journal
DOI: 10.7176/JHMN
Vol.65, 2019 DOI: 10.7176/JHMN communication. In spite of great potential of knowledge, attitude and practice of obstetric danger signs in reducing
the maternal and newborn deaths its status are not well known in most of Sub-Saharan Africa including Ethiopia
[15]. communication. Study design An institution based cross- sectional study design was conducted. Source population p p
Women who were attending health centers and hospital at Sodo town within the study period in 2017. Study population y p p
All pregnant mothers who attend ANC follow up at Sodo town administration health centers and hospital which
are included under study. S
l
i
d t
i
ti All pregnant mothers who attend ANC follow up at Sodo town administration health centers and hospital which
are included under study. Study area and period y
p
The study was conducted in SNNPR, in Wolaita zone, Sodo town. WolaitaSodo town is 380km and 156km from
Addis Ababa and Hawassa respectively. Sodo town is 82.1square km and consists of 11 urban kebeles. The weather
condition of the town is “dega” with mean annual temperature of 15.1 to 20 degree Celsius. The town is found
within the latitude of 6.48 up to 6.53 north and longitude of 37.44 up to 37.46 east. The mean annual rain fall of
the town is about 1200 to 1400 milt. The total population of the town is 121,538. Among which 64,149 (52.8%)are
males and 57,389 (47.2%) are females. WolaitaSodo town has 28,725 households. Among the women, 33,132 are
in reproductive age group (15 to 49 years). There are various governmental, non-governmental and private health
institutions in the town. There are two hospitals, three health centers, six health posts and thirty private clinics. This study was conducted in 3 health centers and 1 governmental hospital in SNNPR,SODDO TOWN , from
April- MAY , 2017 . Study design Sample size determination The following assumptions were made to determine the sample size: The formula to calculate the sample size ;
n= (zα/2)²p (1 p)/ D² The formula to calculate the sample size ; n= (zα/2)²p (1-p)/ D², METHODS AND MATERIALS Study area and period Where n=number of the study subjects Where n=number of the study subjects y
j
Z= the standardized normal distribution curve value for the 95% confidence interval (1.96) Z= the standardized normal distribution curve value fo P= the level of Knowledge of obstetric danger signs during pregnancy in Tigray region the study areas which is
61.1% have knowledge towards obstetrics danger signs during pregnancy. P= the level of Knowledge of obstetric danger signs during pregnancy in Tigray region the study area
61 1% h
k
l d
t
d
b t t i
d
i
d
i 61.1% have knowledge towards obstetrics danger signs during pregnancy. g
g
g
g p g
y
d=the desired precision of the estimate (the margin of error between the sample and population, 5%)
= (1.96)²x 0.611 (1-0.611) / (0.05)² d=the desired precision of the estimate (the margin of error between the sample and population, 5%)
= (1.96)²x 0.611 (1-0.611) / (0.05)²
365+18( 5% N
d
t
t ) 383 i th fi
l
l
i =365+18( 5% None respondent rate)=383 is the final sample size. 3 3 Journal of Health, Medicine and Nursing ISSN 2422-8419 An International Peer-reviewed Journal
DOI: 10.7176/JHMN
Vol.65, 2019 Sodo town Health centers and WSUTRH (560 total eligible population per month)
Soddo HC
146
Geneme
HC
120
Wadu HC
103
WSUTRH
187
100
83
71
129
Total sample size
383
Figure 1 Schematic presentations of Sample allocationInclusion criteria and Exclusion criteria
Mothers who are mentally and physically capable of were interviewed and those who were volunteer to
participate in the study were included and those mothers who were critically sick, pregnant health worker, mothers
who are in labor and delivery service were excluded from study. Figure 1 Schematic presentations of Sample allocationInclusion criteria and Exclusion criteria Figure 1 Schematic presentations of Sample allocationInclusion criteria and Exclusion criteria
Mothers who are mentally and physically capable of were interviewed and those who were volunteer to
participate in the study were included and those mothers who were critically sick, pregnant health worker, mothers
who are in labor and delivery service were excluded from study. g
p
p
Mothers who are mentally and physically capable of were interviewed and those who were volunteer to
participate in the study were included and those mothers who were critically sick, pregnant health worker, mothers
who are in labor and delivery service were excluded from study. Data collection and Data quality control Data collection and Data quality control q
y
Data collection tool: data collection was carried out by structured questionnaire which consisting of two parts:
Socio demographic and knowledge towards obstetric danger sign The response was cared or written with pencil
in provided space. Data processing and analysis The collected data was checked for its completeness by investigators. The data was tallied using a tally sheet and
analyzed manually using scientific calculator after its completeness checked. Then analyzed data was presented
using table, charts and texts. g
The nature of the study and associated risk and benefit was explained and then written consent was obtained
for the participants. Where n=number of the study subjects Ethical clearance and consideration Ethical clearance letter was obtained from Research Ethics Committee (RIC) of Wolaita Sodo University health
science and Medical College. Official letter of cooperation was obtained from WSU before conducting the
interviews and observation was given to the participants and participants were assured of voluntary participation,
confidentiality, anonymity and freedom to withdraw from the study at any time. Procedure for data collection Data collectors were interviewed the respondents and filled the questionnaires. The collectors were explained
unclear questions if necessary during filling of the questionnaire. Finally, the filled questionnaires were collected
by principal data collectors; it was tallied manually on tally sheet. The data was analyzed by using scientific
calculator. Their statistically significance was assessed with the dependent variables. Finally using international
and national data the result was compared, discussed and conclusion and recommendation was forwarded. The
questionnaire was first Prepared in English and then translated into Amharic language for better understanding by
respondents. The Amharic version of the questionnaire was then translated back to English language to check for
its consistency. Prior to the beginning of data collection each question was reached as to understand what variables were
measured in each question and pretest was done by 10% of sample size. Questionnaires were reviewed for
completeness at end of administering questions by group members. Students were cross checked the questionnaires
for completeness every day. for completeness every day. Data processing and analysis Obstetric danger signs Knowledge, during pregnancy, child birth and postnatal period in Wolaita Sodo
town. Obstetric danger signs Knowledge, during pregnancy, child birth and postnatal period in Wolaita Sodo
town Socio-demographic characteristics of the study subjects Socio-demographic characteristics of the study subjects Socio demographic characteristics of the study subjects
A total of 365 pregnant mothers were enrolled in the study giving a response rate of 95.3%. The study participants
from selected urban kebeles were participated by volunteer respondents. The mean ages of the respondents were
28 years. 136(37.2%) of the participant were Orthodox, 190 (52%) were protestant,29(8%)were
musilims,10(2.8%)were others by religion. Majority, 356 (97%) of the women were married and most 316(86.5%) 4 4 Journal of Health, Medicine and Nursing www.iiste.org of the respondents were wolaita by ethnicity. 188(51.5%)were housewives .128(35%) had completed primary
schoo,90(24.6%)had completed secondary school. 101 (27.7%) of the respondents had income between 1001 to
1500 birr during the study period. (See Table 1) g
y p
(
)
Table1: Distribution of socio-demographic and economic variables of respondents, of selected kebeles of
wolaita sodo Town, 2017. Distribution of socio-demographic and economic variables of respondents, of selected keb
sodo Town, 2017. Variable
Frequency
Percentages
Age in years
15-19
50
13.7
20-24
122
33.4
25-29
120
32.9
30-39
68
18.6
>40
5
1.4
Total
365
100
Marital Status
Single
4
1.1
Married
352
96.4
Widowed
5
1.4
Divorced
4
1.1
Total
365
100
Religion
Orthodox
136
37.3
Protestant
190
52
Muslim
29
8
Others
10
2.7
Total
365
100
Ethnicity
Wolaita
316
86.5
Gamo
22
6
Amhara
9
2.5
Kambata
7
2
Others
11
3
Total
365
100
Occupation
Housewife
188
51.5
Governmental employ
89
24.4
Private employ
35
9.6
Own business
53
14.5
Total
365
100
Educational status
Not able to read and write
30
8.2
able to read and write
11
3
Primary School
128
35.5
Secondary School
85
23.3
Diploma
79
21.6
Degree
32
8.8
Total
365
100
Monthly incomes
<500
69
19
501-1000
79
21.6
1001-1500
83
22.7
1501-2000
101
27.7
>2000
33
9
Total
365
100
Time taken to reach the nearest health center? 10-20 minutes
162
44.4
20-30 minutes
203
55.5
Total
365
100 5 Journal of Health, Medicine and Nursing iste.org DOI: 10.7176/JHMN Obstetric characteristics of the respondents p
From total number of respondents 291(79.7%) had history of 2-4 pregnancies and 35(5.5%) mothers were pregnant
for more than four times. Regarding first pregnancy age mothers got their first pregnancy at 20-29years. From the
total number of mothers 291(79.7%) had 1-4 number of children. Regarding history of previous of pregnancy,
263(90.4%) had ANC follow up, among those who had ANC follow up 253(96%) had 4 visits and majority of
mothers 347(95%) properly receiving ANC follow up for current pregnancy. From those attended ANC
237(81.4%) gave birth at health institutions were 136(69%) of the study participants had got danger signs
information from health personnel followed by media ,friends and relatives with respective frequencies of 11.7%,
10.7% and 8.6% respectively. p
y
FIGURE 2 Total number of pregnancies among pregnant mothers who had ANC follow up at Sodo town
administration health centers and hospitals, April _May, 2017. 0
100 200 300 400
ONE PREGNANCY
2-4 PREGNANCIES
MORE THAN FOUR
PREGNANCIES FIGURE 2 Total number of pregnancies among pregnant mothers who had ANC follow up at Sodo town
administration health centers and hospitals, April _May, 2017. Obstetric danger signs Knowledge, during pregnancy, child birth and postnatal period in Wolaita Sodo c danger signs Knowledge, during pregnancy, child birth and postnatal period in Wolaita Sodo town. Out of the 365 respondents, 197(54%) reported that they had got information about obstetric danger sign during
pregnancy. From those who had the information 78(39.6%) identified severe vaginal bleeding at any time during
pregnancy as danger sign while decreased or absence of fetal movement was indicated by 40(20.3%). Swelling of
the body 25(12.7%), feeling of tired 17(8.6%), unusual abdominal pain 14(7.1%), persistent headache and blurred
vision 12(6%), persistent back pain 11(5.6 %) were also indicated by the study subjects as danger sign. Foul
smelling vaginal discharge was mentioned by 11(5.6%) of the respondents and 14(7.1%) respondents mention
other danger signs not mention here. (Table 2). g
g
(
)
Figure 3: Knowledge of pregnant mothers who had ANC follow up at Sodo town administration health centers and
hospitals, April-May, 2017. 1st Qtr
72%
2nd Qtr
28% Figure 3: Knowledge of pregnant mothers who had ANC follow up at Sodo town administration health centers and
hospitals, April-May, 2017. 6 www.iiste.org DOI: 10.7176/JHMN Table 2: knowledge of obstetric danger signs during pregnancy among pregnant mothers in wolaita Sodo
town health centers and wolaita Sodo university teaching and referral hospital selected Kebeles of Wolaita
Sodo town April-May, 2017. Obstetric danger signs Knowledge, during pregnancy, child birth and postnatal period in Wolaita Sodo Variable
Category
Frequency
Percent
Heard of “obstetric danger signs during pregnancy
Yes
197
54
No
168
46
Total
365
100
Mentioned severe bleeding as danger sign during
pregnancy
Yes
78
39.6
No
119
60.4
Total
197
100
Mentioned swelling of the body as danger sign
during pregnancy
Yes
25
12.7
No
172
87.3
Total
197
100
Mentioned unusual abdominal pain as danger
sign during pregnancy
Yes
14
7.1
NO
183
92.9
Total
197
100
Mentioned severe headache or blurred vision as
danger sign during pregnancy
Yes
12
6
No
185
94
Total
197
100
Mentioned feeling very tired as danger sign
during pregnancy
Yes
17
8.6
NO
180
91.4
Total
197
100
Mentioned absent or decreased fetal movement
as danger sign during pregnancy
Yes
40
20.3
NO
157
79.7
Total
197
100
Mentioned persistent back pain as danger sign
during Pregnancy
Yes
11
5.6
No
186
94.4
Total
197
100
Mentioned foul smelling vaginal discharge as
danger sign during pregnancy
Yes
11
5.6
NO
186
94.4
Total
197
100
Mentioned high fever as danger sign during
pregnancy
Yes
12
6
NO
185
94
Total
196
100
The source of information about obstetric danger
signs during pregnancy
Health personnel
136
69
Relatives
17
8.6
Friends
21
10.7
Media
23
11.7
Total
197
100
Can any woman develop obstetric danger signs
during pregnancy? Yes
14
7
No
134
68
Don’t know
49
25
Total
197
100 Table 2: knowledge of obstetric danger signs during pregnancy among pregnant mothers in wolaita Sodo
town health centers and wolaita Sodo university teaching and referral hospital selected Kebeles of Wolaita
Sodo town April-May 2017 7 7 Journal of Health, Medicine and Nursing www.iiste.org
ISSN 2422-8419 An International Peer-reviewed Journal
DOI: 10.7176/JHMN
Vol.65, 2019
Variable
Category
Frequency
Percent
Is Information given about obstetric danger sign/s at
the clinic? Yes
150
76.1
No
47
23.9
Total
197
100
Experienced any obstetric danger sign during
pregnancy
Yes
29
14.7
No
168
85.3
Total
197
100
Received antenatal care during last
pregnancy (For multi gravid and delivered mothers
only. Obstetric danger signs Knowledge, during pregnancy, child birth and postnatal period in Wolaita Sodo Yes
263
90.4
NO
28
9.6
Total
291
100
Properly receive antenatal care during current
pregnancy
Yes
347
95
No
18
5
Total
365
100
Number of antenatal visits during current
pregnancy
First
54
14.8
Second
86
23.5
Third
103
28.2
Fourth
108
29.5
>Fourth
14
4
Total
365
100
Place of delivery during last pregnancy (For multi
gravid and delivered mothers only). Health center
237
81.4
Home
41
14
TBA
13
4.6
Total
291
100 Knowledge on danger signs during child birth and postnatal period
Knowledge on danger signs during child birth
Out of the 365 respondents, 124(34%) reported that they had got information about obstetric danger during child
birth and postnatal period. From those who had the information 52(42%) identified severe vaginal bleeding at any
time during child birth and postnatal period as danger sign, while prolonged labor 31(25%) ,mali position
24(19.3%), retained placenta 17(13.7%) , were indicated by respondents. Table 3: knowledge of obstetric danger signs during child birth among pregnant mothers in Wolaita Sodo
town health centers and Wolaita sodo university teaching and referral hospital Apri-May, 2017. Variable
Category
Frequency
Percent(%)
Have information about danger sign during labor and child-birth? Yes
124
34
NO
241
66
Total
365
100
Mentioned Sever vaginal bleeding as danger signs
Yes
52
42
NO
72
58
Total
124
100
Mentioned Prolonged labor as danger signs
Yes
31
25
NO
93
75
Total
124
100
Mentioned Mali position as danger signs
Yes
24
19.3
NO
100
80.7
Total
124
100
Mentioned Retained placenta as danger signs
Yes
17
13.7
NO
107
86.3
Total
124
100 Knowledge on danger signs during child birth and postnatal period Knowledge on danger signs during child birth and postnatal period 8 www.iiste.org DOI: 10.7176/JHMN Table 4: knowledge of obstetric danger signs during postnatal period among pregnant mothers in wolaita
sodo town health centers and wolaita sodo university teaching and referral hospital selected kebeles of
Wolaita sodo town Apri-May, 2017. Table 4: knowledge of obstetric danger signs during postnatal period among pregnant mothers in wolaita
sodo town health centers and wolaita sodo university teaching and referral hospital selected kebeles of
Wolaita sodo town Apri-May, 2017. DISCUSSION According to this study 54% had heard obstetric danger signs and from those mothers about 150(76.1%) got
information from clinic and it is less than the study done in Mekele that 79.6% respondents had information about
danger signs of pregnancy (17). This difference might be due to socio-economic and geographical location. A
di
hi
d
69%
f h
d
i i
h d
d
i
i f
i
f
h
l h
l According to this study 54% had heard obstetric danger signs and from those mothers about 150(76.1%) got
information from clinic and it is less than the study done in Mekele that 79.6% respondents had information about
danger signs of pregnancy (17). This difference might be due to socio-economic and geographical location. According to this study 69% of the study participants had got danger signs information from health personnel
followed by media, friends and relatives with respective frequencies of 11.7%, 10.7% and 8.6% respectively was
higher than the study done in Northern Nigeria, about a quarter of respondents in Birnin Gwari cluster and 13% in
Kunchi cluster indicated that danger sign songs in the media were the sources of information about safe
motherhood. Over 10% of women in Birnin Gwari cluster and almost 30% in Kunchi cluster indicated that friends
and neighbors were their sources of information of safe motherhood (37). The differences might be due to cultural
and geographic location variations and the area where the study conducted. Based on this study from those who had the information of obstetric danger signs 39.6% identified severe
vaginal bleeding at any time during pregnancy which is lower than the findings in Aleta Wondo district(45.9%)
(15), higher than the findings in Burkina Faso (39.4%) and Guatemala (31.0%) (38, 39).This difference might be
due to socio-cultural difference and difference of sample size used. According to this study 46% of the study
respondents were unable to mention an obstetric danger sign which is more than the study done in Aleta Wondo
district 39.1% and Tsegedie district 35.1% and (15,16).The differences might be due to socio economic and health
education provided. This study revealed that the respondents‟ occupation, educational level, monthly income, first pregnancy age,
having ANC follow up, time to nearest health facility, source of information and place of residence were
significantly associated with knowledge of obstetric danger signs during pregnancy. Obstetric danger signs Knowledge, during pregnancy, child birth and postnatal period in Wolaita Sodo Heard information about danger sign during postnatal
period
Yes
104
28.5%
NO
261
71.5%
Total
365
100%
Mentioned Fever as danger signs
Yes
21
20.2%
NO
87
79.8%
Total
104
100%
Mentioned vaginal Bleeding as danger sins
Yes
39
37.5%
NO
71
62.5%
Total
104
100%
Mentioned Offensive vaginal discharge as
danger signs
Yes
26
25%
NO
83
75%
Total
104
100%
Mentioned Loss of consciousness as danger
signs
Yes
18
17.3%
No
91
83.7%
Total
104
100% REFERENCES 1. UNICEF. A Global Overview of Maternal Mortality.2010 1. UNICEF. A Global Overview of Maternal Mortality.2010 1. UNICEF. A Global Overview of Maternal Mortality.2010 2. UNFPA. Safe Motherhood Stepping up Efforts to Save Mothers‟ Lives 2011. 2. UNFPA. Safe Motherhood Stepping up Efforts to Save Mothers‟ Lives 2011. 3. WHO. Trends in Maternal Mortality: 1990 to 2010, WHO, UNFPA, UNICEF and World Bank. Geneva 2012. 4. Central Statistical Agency and ORC Marco. Ethiopian Demographic and Health Survey, 2011. Addis Ababa,
Ethiopia and Calverton, Maryland, USA; 2012. y
4. Central Statistical Agency and ORC Marco. Ethiopian Demographic and Health Survey, 2011. Addi
Ethiopia and Calverton, Maryland, USA; 2012. 5. Thaddeus S, Maine D. Too far to walk: maternal mortality in context. Social Science Medicine 1994; 38: 1091-
1110 6. Jackson D. Loveday M, Doherty T, Mbombo N, Wington A, Matizirifa L,et al. Community Based Situation
Analysis: Maternal and Neonatal Follow-up Care. Durban: Health Systems Trust.2006. p. 9-13. 7. Dutta DC. Text Book of Obstetrics. 6th ed. Calcutta: New Central Book Agency (P) Ltd; 2004.p. 121 g
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p
8. Rashad WA, Essa RM.Women‟s Awareness of Danger Signs of Obstetrics Complications in Egypt. Journal of
American Science 2010; 6(10): 1299-1306. 9. Kabakyenga JK, Ostergren PO, TuryakiraE,Pettersson K. Knowledge of obstetric danger signs and birth
preparedness practices among women in rural Uganda. BMC pregnancy and Child birth 2011,11: 73 10. Mihret H, Mesganaw F: Birth preparedness and complication readiness among women in Adig
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11. JHPIEGO. Monitoring birth preparedness and complication readiness: tools and indicators for Maternal and
Newborn health Baltimore.2004. 12. Federal Democratic Republic of Ethiopia, Ministry of Health. National Reproductive Strategy, 2006-2015. Addis Ababa, Ethiopia: FMOH; 2006.p. 16-21. 13. Abouzahr C. Safe Motherhood:a brief history of the global movement. World Health Organization, Geneva,
Switzerland 1947-2002. 14. WHO. Why do so many women still die in pregnancy or childbirth? 2005. 15. Mesay Hailu et al, knowledge about obstetric danger signs among pregnant women in Aleta Wondo district,
Sidama zone, Southern Ethiopia. Ethiopian Journal of Health Development 2007; 20(1); 25-32. p43 16. Hailu D, Berhe H (2014) Knowledge about Obstetric Danger Signs and Associated Factors among Mothers in
Tsegedie District, Tigray Region, Ethiopia 17. Gebrehiwot et al. Awareness of Danger Signs of Pregnancy and its Associated Factors among Pregnant Women
who Visit ANC in Mekelle Public Hospitals, 2014. 18. USAID. DISCUSSION It was found that residence had significant association with knowledge of obstetric danger signs during
pregnancy that urban residents had 2.2 times good knowledge than rural respondents [2.2) . This is greater than
the study done in Aleta Wondo(15). Based on this study it was found that the study respondents’ occupation was significantly associated with
obstetric danger signs knowledge of the respondents: those respondents who were government employee had 2.1
times good knowledge than housewives. It is less than the study done in Egypt (8) found that occupation appeared
to influence women’s awareness of danger signs of obstetric complications. However, this finding is contrasted
with study done in rural Tanzania (19). In this study, the respondents‟ educational level seems to play a role in having knowledge of obstetric danger
signs that respondents who have had formal education had 2.1 times good knowledge than who have informal
education and respondents who have had high level education had 3 times good knowledge than those respondents
with informal education. This study is similar with the study done in Egypt (8) and rural Tanzania (19) which
found that women with higher levels of education were more aware of danger signs of obstetric complications than
women with lower or no formal education. This study found no statistically significant difference in knowledge
of danger signs of obstetric danger signs with respondent’s number of ANC visits, similar to the study done in
Tanzania (19), Pembe et al (2009:6) found that women who made four or more ANC visits were more aware of
danger signs of obstetric complications than those who made less than four ANC visits, independent of gestational
age at booking. This difference might be due health education given during ANC follow up. 9 9 Journal of Health, Medicine and Nursing ww.iiste.org DOI: 10.7176/JHMN ISSN 2422-8419 An International Peer-reviewed Journal
DOI: 10.7176/JHMN
Vol.65, 2019 ISSN 2422-8419 An International Peer-reviewed Journal
DOI: 10.7176/JHMN
Vol.65, 2019 Declaration: We declare that this article is our original work. It was not copied from any other research and all references used
for the preparation of this article were cited properly. Regarding fund of research; it was fully covered by
researchers. CONCLUSION Based on this study finding majority of mothers had got information about obstetric danger sign different areas
but few mothers have knowledge about the complications of obstetric danger signs and its severity. are
significantly associated with obstetric danger signs knowledge. The researcher recommend that concerned body should act to increase the knowledge of the community
regarding obstetric danger sign. Researcher recommend also other scholars to conduct in this area because this research only describes t
y but it does not show the factor associate with it Acknowledgement First of we would like to thank Almighty God. Also we would like acknowledge our friends and senior staff who
helped us during of this article preparations. REFERENCES Family Planning and Reproductive Health Indicators Database. Existence of a safe motherhood
strategic plan to promote access and quality of safe motherhood services. Measure Evaluation Population and
Reproductive health 2010. 19. Pembe et al: Rural Tanzanian women‟s awareness of danger signs of obstetric complications.BMC Pregnancy
Child birth March 2009, 9; 12. 20. Nepal. Improving Maternal, Newborn and Child Health in the South East Asia Region. 2005. p. 63. 21. Perreira KM,Bailey PE, De Bocaletti E, Hurtado E, Recinos de Villagran S, Matute J, Increasing awareness of
danger signs in pregnancy through community and clinic based education in Guatemala. Maternal Child
Health Journal 2002; 6(1): 19-28. ( )
22. Urassa DP, Pembe AB and Mganga F. Birth preparedness and complication readiness among women in
Mpwapwa district, Tanzania. Tanzania Journal of Health Research January 2012; 14(1): 3-6 10 Journal of Health, Medicine and Nursing www.iiste.org DOI: 10.7176/JHMN 23. Ali AA, Rayis DA , Abaker AO, Adam I. Awareness of danger signs and nutritional education among pregnant
women in Kassala, Eastern Sudan. Sudanese Journal of Public Health 2010; 5(4): 179-181. A, Rayis DA , Abaker AO, Adam I. Awareness of danger signs and nutritional education among pregnant
men in Kassala, Eastern Sudan. Sudanese Journal of Public Health 2010; 5(4): 179-181. 24. Alam AY,Qureshi AA, Adil MM, Ali H. Comparative study of Knowledge, Attitude and Practices among
Antenatal Care Facilities utilizing and non- utilizing women in Islamabad. Journal of Pakistan Medical
Association 2004; 55(2): 2-4. 25. Anya SE, Hydara A, Jaiteh LES. Antenatal care in The Gambia: Missed opportunity for information, education
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obstetric care BMC Reproductive Health 2005; 2:3.44 28. Sarode VM. Does illiteracy influence pregnancy complications? Among women in the slums o
Mumbai. International Journal of Sociology and Anthropology 2010; 2(5): 82-94. gy
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29. WHO. Maternal, Neonatal, and child health. Strategy Global Health program 2009. 29. WHO. Maternal, Neonatal, and child health. Strategy Global Health program 2009. 30. Nikiema B, Beninguisse G, Haggerty JL.Providing information on pregnancy complications during antenatal
visits: unmet educational needs in sub- Saharan Africa. REFERENCES Health policy and planning 2009; 34: 370-374. 31. Chongo C. A study to determine knowledge attitude and practice of women in child bearing age towards danger
signs in pregnancy in Lusaka, urban Lusaka 1885. 32. Marco A. Knowledge and practice of maternal health care in Indonesia 2003. 33. I. J. Hasan, N. Nisar. Women‟s Perceptions regarding Obstetric Complications and Care in a Poor Fishing
Community in Karachi, 1999. 34. Making pregnancy and childbirth safer. (1997) Policy Brief. Washington, DC: USA World Population
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Organization. Available: http://www.who.int/Whr/ 2005/ hr 2005_en.pdf. 36. Debre Birhan Woreda Health Office (2013 report). 37. Okereke et al. Reproductive Health 2013, 10:57. Knowledge of safe motherhood among women in rural
communities in northern Nigeria: implications for maternal mortality reduction. 38. Baya B, Sangli G, Maiga A. Measuring the effects of behavior change interventions in Burkina F
population-based survey results. Maryland, USA: JHPIEGO; 2004 39. Becker F, Y.glesias C. Measuring the effects of behavior change and service deliver interventions in Guatemala
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Supplementary Figure 5. Unsupervised hierarchical cluster analysis of aCGH data from all tumor samples and
genome-wide frequency plots of copy number alterations in individual ≥T2 clusters. Unsupervised hierarchical cluster analysis of aCGH data from all tumor samples and
genome-wide frequency plots of copy number alterations in individual ≥T2 clusters.
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Identification and integrated analysis of differentially expressed lncRNAs and circRNAs reveal the potential ceRNA networks during PDLSC osteogenic differentiation
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Gu et al. BMC Genetics (2017) 18:100
DOI 10.1186/s12863-017-0569-4 Gu et al. BMC Genetics (2017) 18:100
DOI 10.1186/s12863-017-0569-4 Identification and integrated analysis of
differentially expressed lncRNAs and
circRNAs reveal the potential ceRNA
networks during PDLSC osteogenic
differentiation Xiuge Gu1,2, Mengying Li1,2, Ye Jin1,2, Dongxu Liu1,2* and Fulan Wei1,2* Xiuge Gu1,2, Mengying Li1,2, Ye Jin1,2, Dongxu Liu1,2* and Fulan Wei1,2* © The Author(s). 2017 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. * Correspondence: liudongxu@sdu.edu.cn; weifl@sdu.edu.cn
1Department of Orthodontics, Shandong Provincial Key Laboratory of Oral
Tissue Regeneration, School of Stomatology, Shandong University, Wenhua
Xi Road No. 44-1, Jinan, Shandong 250012, People’s Republic of China
Full list of author information is available at the end of the article Background differentiation, there is not much data published on
their
potential
networks
and
functions. To
fully
understand the impact of ceRNA crosstalk on PDLSC
osteogenic differentiation, it will be crucial to inte-
grate the lncRNA/circRNA-miRNA-mRNA competi-
tive regulatory networks. In this study, we developed
RNA sequencing (RNA-seq) with Illumina HiSeq2000
to comprehensively identify differentially expressed
lncRNAs and circRNAs in normal and osteogenic
inductive PDLSCs. Subsequently, the representative
lncRNAs and circRNAs were further confirmed using
quantitative
real-time
polymerase
chain
reaction
(qRT-PCR). Finally, we predicted the ceRNA net-
works of lncRNAs, circRNAs, miRNAs and mRNAs
based on miRanda and investigated their potential
regulatory roles via gene ontology (GO) and Kyoto
Encyclopedia of Genes and Genomes (KEGG) ana-
lysis. Our findings might provide new evidence for
exploring the molecular mechanism of PDLSC osteo-
genic differentiation. Periodontitis is a slowly progressive disease character-
ized by the loss of periodontal tissue, which is the main
cause of tooth loss [1]. With the development of stem-cell
delivery therapeutics, periodontal ligament stem cells
(PDLSCs) have been shown to produce typical periodontal
ligament-like tissue to regenerate tissue damaged by
periodontitis [2, 3]. Our previous studies also have shown
the great potential of PDLSCs to regenerate periodontal
tissue and form a bioengineered tooth root in miniature
pigs [4–6]. The regeneration potency of PDLSCs con-
tributes to their self-renewal and multi-differentiation
capacity, especially osteogenic differentiation [7]. Exploring
the molecular mechanisms of PDLSC osteogenic differen-
tiation might provide new genetic strategies for periodontal
regenerative medicine. Recently, through microarray analysis, microRNAs (miR-
NAs) were identified and predicted to be involved in
PDLSC osteogenic differentiation [8]. In addition, miR-
NA146a, miRNA17 and miRNA22 have been demonstrated
to regulate PDLSC osteogenic differentiation by modulating
the expression of target genes at the post-transcriptional
level [9–11]. However, recent studies have revealed that a
new player, competing endogenous RNA (ceRNA), is
essential for the circuitry of miRNAs and target genes [12]. By competing for common miRNA response elements
(MREs), ceRNAs can break the balance between miRNAs
and target genes to regulate the physiological and patho-
physiological process [13]. These ceRNAs include various
types of RNAs, such as long non-coding RNAs (lncRNAs),
circular RNAs (circRNAs), messenger RNAs (mRNAs) and
pseudogenes. Abstract Background: Researchers have been exploring the molecular mechanisms underlying the control of periodontal
ligament stem cell (PDLSC) osteogenic differentiation. Recently, long noncoding RNAs (lncRNAs) and circular RNAs
(circRNAs) were shown to function as competitive endogenous RNAs (ceRNAs) to regulate the effect of microRNAs
(miRNAs) on their target genes during cell differentiation. However, comprehensive identification and integrated
analysis of lncRNAs and circRNAs acting as ceRNAs during PDLSC osteogenic differentiation have not been performed. Results: PDLSCs were derived from healthy human periodontal ligament and cultured separately with osteogenic
induction and normal media for 7 days. Cultured PDLSCs were positive for STRO-1 and CD146 and negative for CD31
and CD45. Osteo-induced PDLSCs showed increased ALP (alkaline phosphatase) activity and up-regulated expression
levels of the osteogenesis-related markers ALP, Runt-related transcription factor 2 and osteocalcin. Then, a total of 960
lncRNAs and 1456 circRNAs were found to be differentially expressed by RNA sequencing. The expression profiles of
eight lncRNAs and eight circRNAs were measured with quantitative real-time polymerase chain reaction and were
shown to agree with the RNA-seq results. Furthermore, the potential functions of lncRNAs and circRNAs as ceRNAs
were predicted based on miRanda and were investigated using Gene Ontology and Kyoto Encyclopedia of Genes and
Genomes analysis. In total, 147 lncRNAs and 1382 circRNAs were predicted to combine with 148 common miRNAs and
compete for miRNA binding sites with 744 messenger RNAs. These mRNAs were predicted to significantly participate
in osteoblast differentiation, the MAPK pathway, the Wnt pathway and the signaling pathways regulating pluripotency
of stem cells. Among them, lncRNAs coded as TCONS_00212979 and TCONS_00212984, as well as circRNA BANP and
circRNA ITCH, might interact with miRNA34a and miRNA146a to regulate PDLSC osteogenic differentiation via the
MAPK pathway. Conclusions: This study comprehensively identified lncRNAs/circRNAs and first integrated their potential ceRNA
function during PDLSC osteogenic differentiation. These findings suggest that specific lncRNAs and circRNAs might
function as ceRNAs to promote PDLSC osteogenic differentiation and periodontal regeneration. Keywords: Long non-coding RNAs, Circular RNA, Competitive endogenous RNA, Periodontal ligament stem cells,
Osteogenic differentiation, RNA sequencing Gu et al. BMC Genetics (2017) 18:100 Page 2 of 13 Page 2 of 13 Methods BMC Genetics (2017) 18:100 Gu et al. BMC Genetics (2017) 18:100 Alkaline Phosphatase (ALP) staining and ALP activity
assay Alkaline Phosphatase (ALP) staining and ALP activity
assay incubated for 15 min with citrate buffer and phosphatase
substrate (Sigma-Aldrich), and then quantified by spec-
trophotometric absorbance at 405 nm. ALP staining and activity assay were performed using an
Alkaline Phosphatase Kit (Sigma-Aldrich) as described
previously [24]. Briefly, PDLSCs were fixed with 70%
ethanol for 30 min and stained with a solution of so-
dium nitrite, FRV alkaline and naphthol AS-BI alkaline
for 15 min away from light. For the ALP activity assays,
total protein was isolated from two groups of PDLSCs, Methods All protocols for the handling of human tissues were ap-
proved by the Research Ethics Committee of Stomatology
Hospital of Shandong University, China (G201401601). Informed consent was obtained from all donors. Cell culture and osteogenic induction
In this study, PDLSCs were derived from the middle
third of the root surface of normal human impacted
third molars, which were collected from 18- to 20-year-
old patients at the Department of Oral Maxillofacial
Surgery, Stomatology Hospital of Shandong University,
using the explant culture method. Then, they were
cultured with normal media, consisting of α-modification of
Eagle’s media (HyClone, South Logan, UT, USA), 10% fetal
calf serum (Gibco BRL, Grand Island, NY, USA), 100 U/ml
penicillin and 100 μg/ml streptomycin (Invitrogen,
Carlsbad, CA, USA) at 37 °C in 5% carbon dioxide. The stemness of PDLSCs was characterized by the
scanning of cell surface markers (STRO-1, CD146,
CD31, and CD45) through flow cytometric analysis
(Becton, Dickinson and Company, Franklin Lakes, NJ,
USA). For osteogenic differentiation, PDLSCs were
cultured with osteogenic inductive media supplemented
with 10 nM dexamethasone, 10 mM β-glycerophosphate
and 50 μg/ml vitamin C (Sigma-Aldrich, St. Louis, MO,
USA). Through
separately
culture
with
osteogenic
induction and normal media for 7 days, PDLSCs were
divided into two groups: induced and non-induced
groups. All cells in this study were used at passage
number 3. LncRNA is a class of non-coding RNA (ncRNA) tran-
scripts longer than 200 nucleotides [14]. Recent studies
have reported that lncRNAs were involved in the
osteogenic differentiation process [15]. For example,
up-regulation of lncRNA HIF 1α-anti-sense 1 induced
by TGFβ-mediated targeting of sirtuin 1 promotes the
osteogenic differentiation of human bone marrow stromal
cells [16]. Furthermore, lncRNA ANCR was proved to be
critical in regulating the PDLSC osteogenic differentiation
via the Wnt signaling pathway [17]. CircRNA is another new class of RNA composed of more
than one exon with a covalently closed loop [18]. Com-
pared to linear RNA, this circular structure is more stable
and resistant to RNase R [19]. Emerging evidence has re-
vealed that circRNAs participate in osteogenic differenti-
ation [20, 21]. For instance, 154 differentially expressed
circRNAs were found to associate with bone morpho-
genetic protein 2-induced osteogenic differentiation of
MC3T3-E1 cells [22]. Moreover, circRNAs were predicted
to have potential roles in osteogenesis of PDLSCs [23]. Although several lncRNAs, circRNAs and miRNAs
are suggested to be involved in PDLSC osteogenic Page 3 of 13 Gu et al. Quantitative real-time PCR (qRT-PCR) Quantitative real-time PCR (qRT-PCR)
Total RNA was isolated from two groups of PDLSCs. For analysis of linear transcripts, 1 μg of RNA per
sample was reverse transcribed into cDNA using a
cDNA Reverse Transcription Kit (Takara, Tokyo, Japan). Fig. 1 Identification and osteogenic differentiation of PDLSCs. a PDLSCs were derived from periodontal ligament explants. b PDLSCs were cultured
with non-induced media at passage number 3. c-f PDLSCs were positive for STRO-1 and CD146 and negative for CD31 and CD45. g, h ALP activity
was enhanced in osteo-induced PDLSCs (Induced), as evidenced by ALP staining and ALP activity assay. i-k Compared with the non-induced group,
the induced group showed up-regulated expression of the osteogenic genes ALP, Runx2 and OCN by qRT-PCR. All PCRs were performed in triplicate. The data are represented as means ± SD. *, P < 0.05; **, P < 0.01 Fig. 1 Identification and osteogenic differentiation of PDLSCs. a PDLSCs were derived from periodontal ligament explants. b PDLSCs were cultured
with non-induced media at passage number 3. c-f PDLSCs were positive for STRO-1 and CD146 and negative for CD31 and CD45. g, h ALP activity
was enhanced in osteo-induced PDLSCs (Induced), as evidenced by ALP staining and ALP activity assay. i-k Compared with the non-induced group,
the induced group showed up-regulated expression of the osteogenic genes ALP, Runx2 and OCN by qRT-PCR. All PCRs were performed in triplicate. The data are represented as means ± SD. *, P < 0.05; **, P < 0.01 Page 4 of 13 Gu et al. BMC Genetics (2017) 18:100 Convergent primers were designed to detect lncRNAs
and mRNAs. Divergent primers were designed to detect
the circular form of circRNAs. Relative transcript levels
were measured with quantitative PCR using a Roche
LightCycler®480 sequence detection system (Roche, Basel,
Switzerland) following the manufacturer’s protocol. Each
Fig. 2 The apparent variations of differentially expressed lncRNAs and circRNAs. (a, b) LncRNAs and circRNAs were broadly distributed across the
24 pairs of human chromosomes according to their locations. The inner blue ring corresponds to the non-induced group; the outer yellow ring
corresponds to the induced group. c Among differentially expressed lncRNAs, 17 common lncRNAs and 180 specific lncRNAs in the non-induced
group and 763 specific lncRNAs in the induced group were identified. d Among differentially expressed circRNAs, 95 common circRNAs and 642
specific circRNAs in the non-induced group and 719 specific circRNAs in the induced group were identified. Total RNA was extracted from two groups using Trizol
(Invitrogen) according to the manufacturer’s protocols. Strand-specific cDNA libraries were constructed following
a previously described protocol [25] and were sequenced
using an Illumina HiSeq2000 sequencer (LC Biotech,
Hangzhou, China) by performing a paired-end run with a
100 bp read length. The raw reads were processed by
removing the adaptor reads and low-quality tags. All sub-
sequent analyses were performed using clean reads. Quantitative real-time PCR (qRT-PCR) e Differentially expressed lncRNAs,
consisting of 777 up-regulated lncRNAs and 183 down-regulated lncRNAs, are displayed in the heatmap. f Differentially expressed circRNAs, consisting
of 766 up-regulated circRNAs and 690 down-regulated circRNAs, are displayed in the heatmap Fig. 2 The apparent variations of differentially expressed lncRNAs and circRNAs. (a, b) LncRNAs and circRNAs were broadly distributed across the
24 pairs of human chromosomes according to their locations. The inner blue ring corresponds to the non-induced group; the outer yellow ring
corresponds to the induced group. c Among differentially expressed lncRNAs, 17 common lncRNAs and 180 specific lncRNAs in the non-induced
group and 763 specific lncRNAs in the induced group were identified. d Among differentially expressed circRNAs, 95 common circRNAs and 642
specific circRNAs in the non-induced group and 719 specific circRNAs in the induced group were identified. e Differentially expressed lncRNAs,
consisting of 777 up-regulated lncRNAs and 183 down-regulated lncRNAs, are displayed in the heatmap. f Differentially expressed circRNAs, consisting
of 766 up-regulated circRNAs and 690 down-regulated circRNAs, are displayed in the heatmap Convergent primers were designed to detect lncRNAs
and mRNAs. Divergent primers were designed to detect
the circular form of circRNAs. Relative transcript levels were measured with quantitative PCR using a Roche
LightCycler®480 sequence detection system (Roche, Basel,
Switzerland) following the manufacturer’s protocol. Each Gu et al. BMC Genetics (2017) 18:100 Page 5 of 13 Table 1 Statistical data of RNA-Seq reads for two samples
Sample
Raw
reads
Clean
reads
Unique
lncRNAs
Unique
circRNAs
Unique
mRNAs
Non-induced
91.4 million
90.9 million
11,529
5913
66,134
Induced
113.8 million
112.4 million
9511
3162
52,227 Table 1 Statistical data of RNA-Seq reads for two samples Fig. 3 Differentially expressed lncRNAs/circRNAs validated by qRT-PCR. a
Convergent primers were designed to detect eight lncRNAs with P < 0.05,
FC ≥2 and FPKM in at least one of the samples ≥4. LncRNAs coded as
TCONS_00019601, TCONS_00227764, TCONS_00254538,
TCONS_00198784 and TCONS_00136898 were up-regulated in the
induced group compared with the non-induced group, and
TCONS_00085268, TCONS_00125934, and TCONS_00115113 were
down-regulated. b Divergent primers were designed to detect the
circular form of circRNAs with P < 0.05, FC ≥2 and RPM in at least one of
the samples ≥4. CircRNAs named CDR1-AS, NCOA3, and SKIL were
up-regulated in the induced group compared to the non-induced
group, and the circRNAs IFF01, NTNG1, PLOD2, SMO, and SMURF2
were down-regulated. Quantitative real-time PCR (qRT-PCR) The results agreed with the normalized
expression of validated lncRNAs and circRNAs shown in Tables 2
and 3. All PCRs were performed in triplicate. The data are represented 20 μl reaction volume contained 10 μl SYBR® Premix Ex
Taq™(Takara), 0.4 μl 10 μM forward primer (0.4 μM final),
0.4 μl 10 μM reverse primer (0.4 μM final), 200 ng of
template cDNA and DEPC-treated water. GAPDH was
used as an internal control to quantify and normalize the
results. The primer pairs are listed in Additional file 1. The specificity of the reaction was determined by detec-
tion of the Tms of the amplification products immediately
after the last reaction cycle. The 2-△△CT value was used for
comparative quantitation. All qRT-PCRs were performed
in triplicate. 20 μl reaction volume contained 10 μl SYBR® Premix Ex
Taq™(Takara), 0.4 μl 10 μM forward primer (0.4 μM final),
0.4 μl 10 μM reverse primer (0.4 μM final), 200 ng of
template cDNA and DEPC-treated water. GAPDH was
used as an internal control to quantify and normalize the
results. The primer pairs are listed in Additional file 1. The specificity of the reaction was determined by detec-
tion of the Tms of the amplification products immediately
after the last reaction cycle. The 2-△△CT value was used for
comparative quantitation. All qRT-PCRs were performed
in triplicate. Identification of differentially expressed lncRNAs,
circRNAs and mRNAs The clean reads from two cDNA libraries were mapped to
the human genome sequence in GENCODE Release 19
using TopHat version 2.0.9 [26]. The transcripts were then
assembled and annotated using Cufflinks [27]. According
to the annotation of the human genome sequence, the
known lncRNAs and mRNAs were identified. The coding
potential of the remaining unknown transcripts was
calculated with a coding potential calculator based on Fig. 3 Differentially expressed lncRNAs/circRNAs validated by qRT-PCR. a
Convergent primers were designed to detect eight lncRNAs with P < 0.05,
FC ≥2 and FPKM in at least one of the samples ≥4. LncRNAs coded as
TCONS_00019601, TCONS_00227764, TCONS_00254538,
TCONS_00198784 and TCONS_00136898 were up-regulated in the
induced group compared with the non-induced group, and
TCONS_00085268, TCONS_00125934, and TCONS_00115113 were
down-regulated. b Divergent primers were designed to detect the
circular form of circRNAs with P < 0.05, FC ≥2 and RPM in at least one of
the samples ≥4. CircRNAs named CDR1-AS, NCOA3, and SKIL were
up-regulated in the induced group compared to the non-induced
group, and the circRNAs IFF01, NTNG1, PLOD2, SMO, and SMURF2
were down-regulated. The results agreed with the normalized
expression of validated lncRNAs and circRNAs shown in Tables 2
and 3. All PCRs were performed in triplicate. The data are represented
as means ± SD. *, P < 0.05; **, P < 0.01 Table 2 Expression profiles of lncRNAs validated by RNA-seq
Test_id. Induced (FPKM)
Non-induced (FPKM)
Regulation
TCONS_00019601
93.6452
0
up
TCONS_00227764
830.447
47.6825
up
TCONS_00085268
0
26.6246
down
TCONS_00254538
18,683.1
3962.3
up
TCONS_00198784
9.25995
0.0230801
up
TCONS_00136898
8.67356
0.0105046
up
TCONS_00125934
0
4.65289
down
TCONS_00115113
0
4.05314
down Table 2 Expression profiles of lncRNAs validated by RNA-seq
Test_id. Induced (FPKM)
Non-induced (FPKM)
Regulation Gu et al. BMC Genetics (2017) 18:100 Page 6 of 13 Table 3 Expression profiles of circRNAs validated by RNA-seq
Name
Induced (RPM)
Non-induced (RPM)
Regulation Table 3 Expression profiles of circRNAs validated by RNA-seq
Name
Induced (RPM)
Non-induced (RPM)
Regulation
circRNA CDR1-AS
3038.695
1102.345
up
circRNA IFF01
0
337.2772
down
circRNA NCOA3
1421.615
0
up
circRNA NTNG1
0
1286.478
down
circRNA PLOD2
0
3742.131
down
circRNA SKIL
1956.098
0
up
circRNA SMO
0
783.6154
down
circRNA SMURF2
0
282.7267
down capacity. The expression levels of lncRNAs and mRNAs
were quantified as FPKM (fragments per kilobase of exon
per million fragments mapped) using the Cuffdiff program
[27]. Identification of differentially expressed lncRNAs,
circRNAs and mRNAs The differential expression of lncRNAs and mRNAs
was determined using DESeq, with P < 0.05 and fold
change (FC) ≥2 [29]. Compared with linear RNAs, circRNAs exhibit distinct
patterns of alternative back-splicing and alternative splicing. An upgraded computational pipeline (CIRCexplorer2) was
used to systematically identify and annotate circRNAs [30]. The expression levels of circRNAs were quantified as RPM
(mapped backsplicing junction reads per million mapped
reads) using the EBSeq package [31]. The differential
expression of circRNAs was determined with P < 0.05,
FC ≥2, and circRNA junction reads ≥5 [31]. the quality, completeness, and sequence similarity of
the open reading frame to the proteins in the protein
databases [28]. The remaining unknown transcripts of
more than 200 base pairs (bp) were considered novel
lncRNAs with a coding potential score of less than −1,
which suggested that a transcript had no protein-coding Functional analysis The ceRNA networks among lncRNAs, circRNAs, miRNAs
and mRNAs were predicted based on miRanda with a Fig. 4 CeRNA networks of 430 lncRNAs and 779 miRNAs based on miRanda Fig. 4 CeRNA networks of 430 lncRNAs and 779 miRNAs based on miRanda Page 7 of 13 Gu et al. BMC Genetics (2017) 18:100 Fig. 5 CeRNA networks of selected circRNAs and miRNAs based on miRanda. Considering that graphics cannot display the enormous amount of
network information between 1401 circRNAs and 855 miRNAs, we selected circRNAs with more miRNA binding sites and less binding free energy
to make the network diagram using Cytoscape3.5.1 Fig. 5 CeRNA networks of selected circRNAs and miRNAs based on miRanda. Considering that graphics cannot display the enormous amount of
network information between 1401 circRNAs and 855 miRNAs, we selected circRNAs with more miRNA binding sites and less binding free energy
to make the network diagram using Cytoscape3.5.1 (Fig. 1a, b). Cultured PDLSCs were positive for STRO-1
and CD146 and negative for CD31 and CD45 (Fig. 1c-f). Increased ALP activity identified via ALP staining and
ALP activity assay indicated osteogenic differentiation
of osteo-induced PDLSCs (Fig. 1g, h). Subsequently, the
up-regulated expression levels of the osteogenesis-
related markers ALP, Runt-related transcription factor
2 (Runx2) and osteocalcin (OCN) provided further proof
for the occurrence of PDLSC osteogenic differentiation
(Fig. 2i-k). These findings agreed with previous reports on
PDLSC differentiation into osteoblasts [7]. maximum binding free energy of −20 [32]. First, we pre-
dicted and selected miRNAs binding with both differentially
expressed lncRNAs and circRNAs. Then, target mRNAs of
these selected miRNAs were predicted and compared to
the differentially expressed mRNAs that were identified in
the RNA-seq results. Subsequently, we selected the
intersecting elements of target mRNAs and differen-
tially expressed mRNAs to analyze their potential functions
through GO functional annotation and KEGG pathway
analysis. GO terms were enriched using Blast2GO [33] by
referring to GO databases. Meanwhile, KEGG pathway
analysis was performed by referring to KEGG pathway
databases. Cytoscape3.5.1 was used to display the
lncRNA/circRNA-miRNA-mRNA networks. Differential expression of lncRNAs, circRNAs and mRNAs
upon osteogenic differentiation of PDLSCs p
g
Ribosome-depleted RNA-seq generated 91.4 million raw
reads of the non-induced group and 113.8 million raw
reads of the induced group (Table 1). After filtering the
adaptor reads and low-quality tags, we separately obtained
90.9 million and 112.4 million clean reads. More than 98%
of the raw reads per sample were clean reads. According
to the annotation of the human genome sequence
GENCODE Release 19, 11,529 lncRNAs (non-induced
group) and 9511 lncRNAs (induced group) were identified
from the two cDNA libraries (Table 2) (Additional file 2). We also identified 5913 circRNAs in the non-induced
group and 3162 circRNAs in the induced group (Table 2)
(Additional file 3). In addition, 66,134 mRNAs (non-
induced group) and 52,227 mRNAs (induced group) Statistical analysis Quantitative qRT-PCR datasets are presented as the
means ± standard deviation (SD) of at least three inde-
pendent experiments. The statistical calculations were
performed with SPSS statistics software version 17.0. Student’s t-test was performed for normally distributed
data to determine statistical significance. A P-value less
than 0.05 was considered statistically significant. Results Identification and Osteogenic differentiation of PDLSCs
PDLSCs derived from periodontal ligament explants
were cultured with normal media to passage number 3 Gu et al. BMC Genetics (2017) 18:100 Page 8 of 13 Page 8 of 13 were annotated (Table 2) (Additional file 4). Both
lncRNAs and circRNAs were broadly distributed across
the 24 pairs of human chromosomes (Fig. 2a, b). A total
of 960 lncRNAs, 1161 circRNAs and 1887 mRNAs were
found to be differentially expressed, with P-value <0.05
and FC ≥2 (Additional file 5, Additional file 6 and
Additional file 7). Among the differentially expressed
lncRNAs, 17 common lncRNAs and 180 specific lncRNAs
in the non-induced group and 763 specific lncRNAs in
the induced group were detected, with 777 up-regulated
lncRNAs and 183 down-regulated lncRNAs (Fig. 2c). Meanwhile, we also identified 95 common circRNAs and
642 specific circRNAs in the non-induced group and 719
specific circRNAs in the induced group, with 766 up-
regulated circRNAs and 690 down-regulated circRNAs
(Fig. 2d). The apparent variations in transcripts between
the two groups are visually displayed with heatmaps
(Fig. 2e, f). FPKM/RPM in at least one of the samples ≥4 were selected
for qRT-PCR validation. The lncRNAs were amplified
with convergent primers and the circRNAs were ampli-
fied with divergent primers (Fig. 3a, b). Compared to the
non-induced group, the induced group showed increased
expression of the lncRNAs coded as TCONS_00019601,
TCONS_00227764, TCONS_00254538, TCONS_00198784
and TCONS_00136898 and decreased expression of
TCONS_00085268, TCONS_00125934, and TCONS_00
115113 (Fig. 3a). The circRNAs named CDR1-AS, NCOA3,
and
SKIL
were
up-regulated
in
the
induced
group
compared to the non-induced group, and the circRNAs
IFF01, NTNG1, PLOD2, SMO, and SMURF2 were
down-regulated (Fig. 3b). All the results were consistent
with the normalized expression of RNA-seq shown in
Tables 2 and 3. Differentially expressed lncRNAs/circRNAs validated by
qRT-PCR Based on miRanda with the maximum binding free energy
of −20, 430 lncRNAs were predicted to share at least two
binding sites with 779 miRNAs (Fig. 4) (Additional file 8). We also predicted that 1401 circRNAs bind 855 miRNAs q
To verify the results of the RNA-seq experiments, eight
lncRNAs and eight circRNAs with P < 0.05, FC ≥2 and Fig. 6 CeRNA networks of 744 mRNAs and 148 common miRNAs based on miRanda Fig. 6 CeRNA networks of 744 mRNAs and 148 common miRNAs based on miRanda Gu et al. BMC Genetics (2017) 18:100 Page 9 of 13 Page 9 of 13 with at least two binding sites (Additional file 9). Consid-
ering that graphics cannot display the enormous amount
of network information between 1401 circRNAs and 855
miRNAs, we selected circRNAs with more miRNA bind-
ing sites and less binding free energy to make the network
diagram (Fig. 5). Through analysis of the common binding
MREs of lncRNAs and circRNAs, 165 miRNAs were
predicted to combine with both 158 lncRNAs and 1385
circRNAs (data not shown). expressed mRNAs that were found to combine with
148 common miRNAs along with 147 lncRNAs and
1382 circRNAs (Additional file 10). The networks of
744 mRNAs and 148 common miRNAs are shown in
Fig. 6. The potential regulatory roles of the ceRNA networks
were predicted by analyzing the functions of 744 mRNAs
through GO and KEGG pathway analysis (Additional file 11
and Additional file 12). GO annotations (P < 0.05) involv-
ing the top 60 mRNAs are displayed in Fig. 7a and include
multiple biological processes, cellular components and
molecular functions. Among these GO terms, we obtained
GO:
0001649
(osteoblast
differentiation),
which was
significantly enriched by 21 mRNAs (Additional file 11). To reveal their potential function, we predicted target
mRNAs of these miRNAs based on miRanda and
compared these target mRNAs to the differentially
expressed mRNAs that were identified in the RNA-seq
results (Additional file 7). There were 744 differentially Fig. 7 GO annotations and KEGG pathway analysis of 744 differentially expressed mRNAs. a GO annotations (P < 0.05) involving the top sixty
numbers of mRNAs included multiple biological processes, cellular components and molecular functions. b These mRNAs were significantly
enriched in 34 KEGG pathways, including the the MAPK pathway, the Wnt pathway and the signaling pathways regulating pluripotency of
stem cells Fig. Differentially expressed lncRNAs/circRNAs validated by
qRT-PCR 7 GO annotations and KEGG pathway analysis of 744 differentially expressed mRNAs. a GO annotations (P < 0.05) involving the top sixty
numbers of mRNAs included multiple biological processes, cellular components and molecular functions. b These mRNAs were significantly
enriched in 34 KEGG pathways, including the the MAPK pathway, the Wnt pathway and the signaling pathways regulating pluripotency of
stem cells Fig. 7 GO annotations and KEGG pathway analysis of 744 differentially expressed mRNAs. a GO annotations (P < 0.05) involving the top sixty
numbers of mRNAs included multiple biological processes, cellular components and molecular functions. b These mRNAs were significantly
enriched in 34 KEGG pathways, including the the MAPK pathway, the Wnt pathway and the signaling pathways regulating pluripotency of
stem cells Page 10 of 13 Page 10 of 13 Gu et al. BMC Genetics (2017) 18:100 Gu et al. BMC Genetics (2017) 18:100 The complex mRNA networks involved in GO: 0001649
(osteoblast differentiation) and related miRNAs, lncRNAs,
and circRNAs are displayed in Fig. 8. Through KEGG
analysis, mRNAs were predicted to participte in 34 path-
ways (Fig. 7b). Among these KEGG pathways, the MAPK
pathway, the Wnt pathway and the signaling pathways
regulating pluripotency of stem cells were closely related
to osteogenic differentiation. Discussion LncRNAs, circRNAs, miRNAs and mRNAs form large-
scale ceRNA cross-talk networks through MREs, which
has exciting implications for gene regulation at the
post-transcriptional level during multiple physiological
and pathophysiological processes [12, 34]. In recent years,
studies have documented the functions and clinical impli-
cations of ceRNAs in cancer, systemic lupus erythematosus
and other diseases, which may present opportunities for
new therapeutic approaches for diseases [35, 36]. Based on the above results, we selected several lncRNAs,
circRNAs, miRNAs and mRNAs associated with the
MAPK pathway to further display the ceRNA networks
(Fig. 9). The lncRNAs coded as TCONS_00212979 and
TCONS_00212984, circRNA BANP and circRNA ITCH
were predicted to combine with miRNA34a and miR-
NA146a. DUSP1, FAS and RAC1 were predicted to be tar-
get genes of miRNA34a. In addition, PDGFRA, TGFBR2
and MYC were predicted to be targeted by miRNA146a. These six mRNAs were the pivotal genes of the MAPK
pathway according to the KEGG analysis. This compli-
cated ceRNA network suggested that TCONS_00212979,
TCONS_00212984, circRNA BANP and circRNA ITCH
might play regulatory roles in the MAPK pathway through
miRNA34a, miRNA146a and their targets during PDLSC
osteogenic differentiation. p
pp
Recently, researchers have systematically constructed
ceRNA networks through RNA-seq and bioinformatics
in mouse germline stem cells to reveal functions and
mechanisms of lncRNAs and circRNAs in mouse germline
stem cell self-renewal and differentiation [37]. Moreover,
lncRNA POIR was demonstrated to form a regulatory
network with miRNA182 and FoxO1 to up-regulate
PDLSC osteogenic differentiation in periodontitis patients
[38]. However, the ceRNA networks were revealed to be
intertwined [39]. To fully understand the impact of
ceRNA crosstalk on PDLSC osteogenic differentiation,
it will be crucial to integrate the competitive lncRNA/
circRNA-miRNA–mRNA regulatory networks. In our
study, 744 mRNAs were predicted to combine with 148 Fig. 8 CeRNA networks of lncRNAs/circRNAs-miRNAs-mRNAs significantly participated in GO: 0001649 (osteoblast differentiation) 8 CeRNA networks of lncRNAs/circRNAs-miRNAs-mRNAs significantly participated in GO: 0001649 (osteoblast differentiation) Page 11 of 13 Page 11 of 13 Gu et al. BMC Genetics (2017) 18:100 Fig. 9 CeRNA networks of lncRNAs/circRNAs-miRNAs-mRNAs significantly
participated in the MAPK pathway. The lncRNAs coded as
TCONS_00212979 and TCONS_00212984, as well as circRNA
BANP and circRNA ITCH, were predicted to interact with
miRNA34a and miRNA146a. DUSP1, FAS and RAC1 were
predicted to be target genes of miRNA34a. PDGFRA, TGFBR2
and MYC were predicted to be targeted by miRNA146a. Discussion These
six mRNAs are pivotal genes in the MAPK pathway according
to KEGG analysis Fig. 9 CeRNA networks of lncRNAs/circRNAs-miRNAs-mRNAs significantly
participated in the MAPK pathway. The lncRNAs coded as
TCONS_00212979 and TCONS_00212984, as well as circRNA
BANP and circRNA ITCH, were predicted to interact with
miRNA34a and miRNA146a. DUSP1, FAS and RAC1 were
predicted to be target genes of miRNA34a. PDGFRA, TGFBR2
and MYC were predicted to be targeted by miRNA146a. These
six mRNAs are pivotal genes in the MAPK pathway according
to KEGG analysis common miRNAs, along with 147 lncRNAs and 1382
circRNAs. Through GO analysis, 21 mRNAs were predicted to
significantly participate in osteoblast differentiation (GO:
0001649) (Fig. 8). Among them, ALPL, also called ALP,
was reported to be an osteogenesis-related marker and
was up-regulated during PDLSC osteogenic differenti-
ation [7]. The up-regulated expression level of ALP was
also detected by qRT-PCR in our study (Fig. 1i). SMAD3
and SMAD5, members of the SMAD family, were also
predicted to form ceRNA networks and participate in
osteoblast differentiation. Both SMAD3 and SMAD5
were
demonstrated
to
regulate
PDLSC
osteogenic
differentiation by modulating TGF-β signals [40, 41]. Additionally, Notch1, another participant in osteoblast
differentiation (GO: 0001649), is part of the Notch
signaling pathway, which is important for maintaining
osteogenic differentiation of PDLSCs [42, 43]. These
crucial osteogenic genes formed ceRNA networks with
lncRNAs and circRNAs by targeting common miRNAs,
and these networks might provide evidence of new regula-
tory mechanisms in PDLSC osteogenic differentiation. Discussion These
six mRNAs are pivotal genes in the MAPK pathway according
to KEGG analysis Through KEGG pathway analysis, mRNAs of ceRNA
networks were predicted to be involved in the Wnt path-
way, MAPK pathway and signaling pathways regulating
the pluripotency of stem cells. Previous studies have
demonstrated that Wnt signaling contributes to the
differentiation of periodontal ligament fibroblasts into
osteoblasts [44]. In addition, the MAPK pathway was
found to be critical for skeleton development and bone
homeostasis [45]. Moreover, it plays significant roles in
osteogenic differentiation of PDLSCs [46, 47]. Furthermore,
we constructed a ceRNA network of TCONS_00212979,
TCONS_00212984, circRNA BANP, circRNA ITCH, miR-
NA34a, miRNA146a, DUSP1, FAS, RAC1, PDGFRA,
TGFBR2 and MYC. These mRNAs are important elements
of the MAPK pathway based on KEGG analysis. Among
them, DUSP1, FAS and RAC1 are targeted by miRNA34a,
while PDGFRA, TGFBR2 and MYC are targeted by miR-
NA146a. Studies have illustrated that both miRNA34a and
miRNA146a are closely related to osteogenic differentiation
of human mesenchymal stem cells [48, 49]. In addition,
miRNA146a was revealed to promote differentiation
of periodontal ligament cells [9]. TCONS_00212979,
TCONS_00212984, circRNA BANP and circRNA ITCH
were predicted to bind miRNA34a and miRNA146a. TCONS_00212979, known as CARMEN, has been reported
to be a cardiac mesoderm enhancer-associated lncRNA that
modulates cardiac differentiation through miRNA143 and
miRNA145 [50]. TCONS_00212984 is a novel lncRNA with
a genomic origin similar to that of TCONS_00212979 ac-
cording to RNA-seq. circRNA BANP and circRNA ITCH
have both been reported to contribute to carcinogenesis
and might serve as cancer biomarkers [51, 52]. However,
the regulatory roles of these two lncRNAs and circRNAs in
osteogenic differentiation remain unclear. In summary,
the ceRNA network suggested that TCONS_00212979,
TCONS_00212984, circRNA BANP and circRNA ITCH
might interact with miRNA34a and miRNA146a to
regulate PDLSC osteogenic differentiation via the MAPK
pathway. However, their regulatory mechanisms need to
be further investigated. Our future study plan will be to
validate their differential expression profiles, verify their
ceRNA networks and specify their effects on PDLSC
osteogenic differentiation using knockdown and overex-
pression experiments. Fig. 9 CeRNA networks of lncRNAs/circRNAs-miRNAs-mRNAs significantly
participated in the MAPK pathway. The lncRNAs coded as
TCONS_00212979 and TCONS_00212984, as well as circRNA
BANP and circRNA ITCH, were predicted to interact with
miRNA34a and miRNA146a. DUSP1, FAS and RAC1 were
predicted to be target genes of miRNA34a. PDGFRA, TGFBR2
and MYC were predicted to be targeted by miRNA146a. Competing interests
Th
h
d
l
h Competing interests
The authors declare that they have no competing interests. Additional file 4: mRNA_all expression_.xlsx The expression profiles of
all mRNAs identified by RNA-seq (XLSX 8078 kb) Additional file 5: lncRNA_differential expression.xlsx Differentially
expressed lncRNAs identified by RNA-seq (XLSX 87 kb) Ethics approval and consent to participate PDLSCs were derived from the extracted teeth, which were collected from
patients at the Department of Oral Maxillofacial Surgery, Stomatology
Hospital of Shandong University. All protocols for handling dental tissues
were performed in accordance with relevant guidelines and regulations. All
protocols for the handling of human tissues were approved by the Research
Ethics Committee of Stomatology Hospital of Shandong University, China
(G201401601). The participant informed consent was written. Funding g
The performance of RNA-seq, analysis of the sequenced data and revision of
the manuscript were supported by grant from the National Natural Science
Foundation of China (81470709). All the cell biology experiments and mo-
lecular biology experiments were supported by grant from the Construction
Engineering Special Fund of “Taishan Scholars” (tsqn201611068). 9. Hung PS, Chen FC, Kuang SH, Kao SY, Lin SC, Chang KW. miR-146a induces
differentiation of periodontal ligament cells. J Dent Res. 2010;89(3):252–7. 10. Liu Y, Liu W, Hu C, Xue Z, Wang G, Ding B, Luo H, Tang L, Kong X, Chen X,
et al. MiR-17 modulates osteogenic differentiation through a coherent feed-
forward loop in mesenchymal stem cells isolated from periodontal
ligaments of patients with periodontitis. Stem Cells. 2011;29(11):1804–16. Abbreviations 3. Park JY, Jeon SH, Choung PH. Efficacy of periodontal stem cell
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transplantation in the treatment of advanced periodontitis. Cell Transplant. 2011;20(2):271–85. ALP: Alkaline phosphatase; bp: Base pairs; ceRNAs: Competitive endogenous
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kilobase of exon per million fragments mapped; GO: Gene Ontology;
KEGG: Kyoto Encyclopedia of Genes and Genomes; lncRNAs: Long non-
coding RNAs; miRNAs: MicroRNAs; MREs: miRNA response elements;
mRNAs: Messenger RNAs; ncRNA: Non-coding RNA; OCN: Osteocalcin;
PDLSC: Periodontal ligament stem cell; qRT-PCR: Quantitative real-time poly-
merase chain reaction; RNA-seq: RNA sequencing; RPM: Mapped back-splice
junction reads per million mapped reads; Runx2: Runt-related transcription
factor 2; SD: Standard deviation 4. Wei F, Qu C, Song T, Ding G, Fan Z, Liu D, Liu Y, Zhang C, Shi S, Wang S,
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Vitamin C. Treatment promotes mesenchymal stem cell sheet formation
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227(9):3216–24. 5. Wei F, Song T, Ding G, Xu J, Liu Y, Liu D, Fan Z, Zhang C, Shi S, Wang S. Functional tooth restoration by allogeneic mesenchymal stem cell-based
bio-root regeneration in swine. Stem Cells Dev. 2013;22(12):1752–62. 6. Ding G, Liu Y, Wang W, Wei F, Liu D, Fan Z, An Y, Zhang C, Wang S. Allogeneic periodontal ligament stem cell therapy for periodontitis in swine. Stem Cells. 2010;28(10):1829–38. References
D Additional file 11: target mRNAs_GO enrichment.xlsx GO items
enriched by target mRNAs through GO analysis (XLSX 95 kb) Additional file 11: target mRNAs_GO enrichment.xlsx GO items
enriched by target mRNAs through GO analysis (XLSX 95 kb) References
1. Damgaard C, Holmstrup P, Van Dyke TE, Nielsen CH. The complement
system and its role in the pathogenesis of periodontitis: current concepts. J
Periodontal Res. 2015;50(3):283–93. References
1. Damgaard C, Holmstrup P, Van Dyke TE, Nielsen CH. The complement
system and its role in the pathogenesis of periodontitis: current concepts. J
Periodontal Res. 2015;50(3):283–93. Additional file 12: target mRNAs_KEGG pathway enrichment.xlsx
Pathways enriched by target mRNAs through KEGG analysis (XLSX 20 kb) Additional file 12: target mRNAs_KEGG pathway enrichment.xlsx
Pathways enriched by target mRNAs through KEGG analysis (XLSX 20 kb) Additional file 12: target mRNAs_KEGG pathway enrichment.xlsx
Pathways enriched by target mRNAs through KEGG analysis (XLSX 20 2. Liu Y, Zheng Y, Ding G, Fang D, Zhang C, Bartold PM, Gronthos S, Shi S,
Wang S. Periodontal ligament stem cell-mediated treatment for
periodontitis in miniature swine. Stem Cells. 2008;26(4):1065–73. 2. Liu Y, Zheng Y, Ding G, Fang D, Zhang C, Bartold PM, Gronthos S, Shi S,
Wang S. Periodontal ligament stem cell-mediated treatment for
periodontitis in miniature swine. Stem Cells. 2008;26(4):1065–73. Consent for publication
Not applicable. Consent for publication
Not applicable. Additional file 3: circRNA_all expression_.xlsx The expression profiles of
all circRNAs identified by RNA-seq (XLSX 1577 kb) Competing interests
The authors declare that they have no competing interests. Authors’ contributions FW and DL conceived, designed and revised this study. XG analyzed the
RNA-seq data and wrote the manuscript. ML detected the expression of
genes using qRT-PCR. YJ performed the cell culture and osteogenic induction
treatments. All authors read and approved the final manuscript. Acknowledgments
k
l d
h We acknowledge the anonymous reviewers and academic editors for their
constructive suggestions on the previous version of the manuscript. We
acknowledge laboratory members for their contributions. 7. Seo BM, Miura M, Gronthos S, Bartold PM, Batouli S, Brahim J, Young M,
Robey PG, Wang CY, Shi S. Investigation of multipotent postnatal stem cells
from human periodontal ligament. Lancet. 2004;364(9429):149–55. 7. Seo BM, Miura M, Gronthos S, Bartold PM, Batouli S, Brahim J, Young M,
Robey PG, Wang CY, Shi S. Investigation of multipotent postnatal stem cells
from human periodontal ligament. Lancet. 2004;364(9429):149–55. 8. Hao Y, Ge Y, Li J, Hu Y, Wu B, Fang F. Identification of MicroRNAs by
microarray analysis and prediction of target genes involved in the
Osteogenic differentiation of human periodontal ligament stem cells. J
Periodontol. 2017:1–11. 8. Hao Y, Ge Y, Li J, Hu Y, Wu B, Fang F. Identification of MicroRNAs by
microarray analysis and prediction of target genes involved in the
Osteogenic differentiation of human periodontal ligament stem cells. J
Periodontol. 2017:1–11. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations. Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations. Additional file 6: circRNA_differential expression.xlsx Differentially
expressed circRNAs identified by RNA-seq (XLSX 312 kb) Received: 19 August 2017 Accepted: 16 November 2017 Received: 19 August 2017 Accepted: 16 November 2017 Received: 19 August 2017 Accepted: 16 November 2017 Additional file 10: lncRNA-circRNA-miRNA-mRNA.xlsx LncRNAs and
circRNAs predicted to share miRNA binding sites in common with target
mRNAs (XLSX 8696 kb) Conclusion This study identified differentially expressed lncRNAs,
circRNAs and mRNAs during osteogenic differentiation of
PDLSCs. Competitive lncRNA/circRNA-miRNA–mRNA
regulatory networks were comprehensively integrated and
predicted to be involved in osteoblast differentiation by
GO and KEGG pathway analysis. Moreover, the lncRNAs
coded
as
TCONS_00212979
and
TCONS_00212984,
circRNA BANP and circRNA ITCH were predicted to Page 12 of 13 Page 12 of 13 Gu et al. BMC Genetics (2017) 18:100 Page 12 of 13 Gu et al. BMC Genetics (2017) 18:100 interact with miRNA34a and miRNA146a to regulate
PDLSC
osteogenic
differentiation
via
the
MAPK
pathway. Our study suggested that specific lncRNAs
and circRNAs might function as ceRNAs to promote
PDLSC
osteogenic
differentiation
and
periodontal
regeneration. 11.
Yan GQ, Wang X, Yang F, Yang ML, Zhang GR, Wang GK. MicroRNA-22
promoted Osteogenic differentiation of human periodontal ligament stem
cells by targeting HDAC6. J Cell Biochem. 2017;118(7):1653–8. Additional files Additional file 1: Gene Primers.doc Gene primers used in qRT-PCR
(DOC 38 kb)
Additional file 2: lncRNA_all expression_.xlsx The expression profiles of
all lncRNAs identified by RNA-seq (XLSX 1653 kb)
Additional file 3: circRNA_all expression_.xlsx The expression profiles of
all circRNAs identified by RNA-seq (XLSX 1577 kb)
Additional file 4: mRNA_all expression_.xlsx The expression profiles of
all mRNAs identified by RNA-seq (XLSX 8078 kb)
Additional file 5: lncRNA_differential expression.xlsx Differentially
expressed lncRNAs identified by RNA-seq (XLSX 87 kb)
Additional file 6: circRNA_differential expression.xlsx Differentially
expressed circRNAs identified by RNA-seq (XLSX 312 kb)
Additional file 7: mRNA_differential expression.xlsx Differentially
expressed mRNAs identified by RNA-seq (XLSX 240 kb)
Additional file 8: lncRNA_miRNA_miRanda_2BindingSites.xlsx LncRNAs
predicted to share at least two miRNA binding sites (XLSX 115 kb)
Additional file 9: circRNA_miRNA_miRanda_2BindingSites.xlsx CircRNAs
predicted to share at least two miRNA binding sites (XLSX 23183 kb)
Additional file 10: lncRNA-circRNA-miRNA-mRNA.xlsx LncRNAs and
circRNAs predicted to share miRNA binding sites in common with target
mRNAs (XLSX 8696 kb)
Additional file 11: target mRNAs_GO enrichment.xlsx GO items
enriched by target mRNAs through GO analysis (XLSX 95 kb)
Additional file 12: target mRNAs_KEGG pathway enrichment.xlsx
Pathways enriched by target mRNAs through KEGG analysis (XLSX 20 kb) Additional file 1: Gene Primers.doc Gene primers used in qRT-PCR
(DOC 38 kb) Additional file 2: lncRNA_all expression_.xlsx The expression profiles of
all lncRNAs identified by RNA-seq (XLSX 1653 kb) Author details
1
f Additional file 7: mRNA_differential expression.xlsx Differentially
expressed mRNAs identified by RNA-seq (XLSX 240 kb) 1Department of Orthodontics, Shandong Provincial Key Laboratory of Oral
Tissue Regeneration, School of Stomatology, Shandong University, Wenhua
Xi Road No. 44-1, Jinan, Shandong 250012, People’s Republic of China. 2Shandong Provincial Key Laboratory of Oral Tissue Regeneration, School of
Stomatology, Shandong University, Jinan, People’s Republic of China. Additional file 8: lncRNA_miRNA_miRanda_2BindingSites.xlsx LncRNAs
predicted to share at least two miRNA binding sites (XLSX 115 kb) Additional file 9: circRNA_miRNA_miRanda_2BindingSites.xlsx CircRNAs
predicted to share at least two miRNA binding sites (XLSX 23183 kb) Availability of data and materials All data analyzed during this study are included in this article and its
supplementary information files. RNA-seq data sets are available in the Gene
Expression Omnibus database under accession number GSM2856840 (for
non-induced PDLSCs) and GSM2856841 (for induced PDLSCs). 11. Yan GQ, Wang X, Yang F, Yang ML, Zhang GR, Wang GK. MicroRNA-22
promoted Osteogenic differentiation of human periodontal ligament stem
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https://openalex.org/W2765491445
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English
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Binding patterns of homo-peptides on bare magnetic nanoparticles: insights into environmental dependence
|
Scientific reports
| 2,017
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cc-by
| 9,162
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Binding patterns of homo-peptides
on bare magnetic nanoparticles:
insights into environmental
dependence Received: 23 February 2017
Accepted: 4 October 2017
Published: xx xx xxxx Received: 23 February 2017
Accepted: 4 October 2017
Published: xx xx xxxx Silvia A. Blank-Shim
1, Sebastian P. Schwaminger 1, Monika Borkowska-Panek2,
Priya Anand2, Peyman Yamin2, Paula Fraga-García
1, Karin Fink2, Wolfgang Wenzel2 &
Sonja Berensmeier
1 Magnetic nanoparticles (MNP) are intensively investigated for applications in nanomedicine,
catalysis and biotechnology, where their interaction with peptides and proteins plays an important
role. However, the characterisation of the interaction of individual amino acids with MNP remains
challenging. Here, we classify the affinity of 20 amino acid homo-hexamers to unmodified iron
oxide nanoparticles using peptide arrays in a variety of conditions as a basis to identify and rationally
design selectively binding peptides. The choice of buffer system is shown to strongly influence the
availability of peptide binding sites on the MNP surface. We find that under certain buffer conditions
peptides of different charges can bind the MNP and that the relative strength of the interactions can
be modulated by changing the buffer. We further present a model for the competition between the
buffer and the MNP’s electrostatically binding to the adsorption sites. Thereby, we demonstrate that
the charge distribution on the surface can be used to correlate the binding of positively and negatively
charged peptides to the MNP. This analysis enables us to engineer the binding of MNP on peptides and
contribute to better understand the bio-nano interactions, a step towards the design of affinity tags for
advanced biomaterials. Magnetic nanoparticles (MNP) are widely used for the purification of nucleic acids and other biological mole-
cules1–4. MNP are also employed in the immobilisation of enzymes5,6, for biomedical applications such as drug
delivery and hyperthermia in cancer treatment and as contrast agents for magnetic resonance imaging7,8. Their
superparamagnetic behaviour allows for their manipulation by an external magnetic field to easily accumulate
MNP in a desired area9. In addition, MNP have also spiked interest in the field of catalytic reaction engineering10. For most applications, MNP have to be functionalised to allow for a selective binding of the target molecule. This
is presently achieved by attaching metal-ion chelating molecules, e.g. nitrilotriacetic acid, to the MNP surface,
which then bind His-tagged biomolecules11,12. Drawbacks of this method are the leakage of toxic metal ions
and instability of the surface functionalisation13,14. www.nature.com/scientificreports www.nature.com/scientificreports www.nature.com/scientificreports Received: 23 February 2017
Accepted: 4 October 2017
Published: xx xx xxxx SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 Binding patterns of homo-peptides
on bare magnetic nanoparticles:
insights into environmental
dependence Alternative surface modifications for protein adsorption on
magnetic particles are glutathione, streptavidin, biotin or protein A, all of which lead to high costs running in
the thousands of Euros per gram15. Use of bare superparamagnetic iron oxides thus offers decisive advantages for
industrial applications mainly due to the easy, rapid and low-cost synthesis and the absence of degradable func-
tional surface groups. We undertake here the first systematic study of peptide-MNP interactions of bare MNP
to ultimately develop peptides that can be genetically engineered into proteins as tags and strongly bind to the
nonfunctionalised MNP. The key to the design of high-affinity peptide tags lies in an in-depth understanding of
surface-peptide recognition patterns16. However, a rational development of models guiding the design of peptides
with specific binding propensity is complicated by the lack of available methods for a quantitative assessment of
the affinity of individual amino acids, which are the peptide building blocks. One of the reasons that comprehen-
sive interaction data for MNP with all the amino acids or with a larger group of peptides is currently not available 1Bioseparation Engineering Group, Department of Mechanical Engineering, Technical University of Munich, 85748,
Garching b. München, Germany. 2Institute of Nanotechnology, Karlsruhe Institute of Technology, 76344, Eggenstein-
Leopoldshafen, Germany. Correspondence and requests for materials should be addressed to W.W. (email: wolfgang. wenzel@kit.edu) or S.B. (email: s.berensmeier@tum.de) SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 1 www.nature.com/scientificreports/ Figure 1. Schematic experimental setup of peptide array binding experiments and their evaluation. Peptides
were immobilised on a cellulose membrane in spots. Each spot contained 5 to 10 nm of a certain peptide. The
nanoparticles were suspended in buffer and added to the membrane. A higher load with particles resulted in a
darker colour of the spot which was digitalised to yield a score as an indicator for their adsorption. Figure 1. Schematic experimental setup of peptide array binding experiments and their evaluation. Peptides
were immobilised on a cellulose membrane in spots. Each spot contained 5 to 10 nm of a certain peptide. The
nanoparticles were suspended in buffer and added to the membrane. A higher load with particles resulted in a
darker colour of the spot which was digitalised to yield a score as an indicator for their adsorption. may stem from the fact that MNP not only interfere with fluorescence, but also degrade fluorophores commonly
used for the quantification of biomolecules17. Binding patterns of homo-peptides
on bare magnetic nanoparticles:
insights into environmental
dependence In this investigation we
explore the influence of the buffer on MNP-peptide interactions and rationalise our findings by means of a model
which quantitatively reproduces the change in the loading of the charged peptides on the surface for all the stud-
ied conditions. These insights enable us not only to understand interaction rules but also to develop peptides that
reversibly bind MNP as a function of the buffer. The interaction of peptides to surfaces in general is affected by many factors, such as structure26,27, stoichiome-
try28, pH29, temperature and solvent conditions30,31, surface protonation state32, possible peptide conformation33,34
and composition35. Additionally, the conformation and binding states of short peptides to metal oxide nanoparti-
cles are influenced by pH and buffer conditions36. Apart from this paper, the importance of the buffer species was
only recently addressed in the context of biological systems37, where their impact on bio-nano interactions was,
however, not discussed. In comparison to homogeneous surfaces, such as carefully grown gold and platinum, or
a single crystalline surface, iron oxide MNP present a particularly challenging target concerning their representa-
tion by an atomistic model, mostly due to the great heterogeneity present38–40. For this reason, it is difficult to
utilise quantitative models based on ab-initio calculations that have been proven successful for other surfaces41,42. I
hi
k
h fi
i
d
i
d
f h h
h
f 20
l
i
id q
p
In this work, we present the first systematic adsorption study of the homo-hexamers of 20 natural amino acids
with magnetic nanoparticles and show clear evidence for a strong influence of the environment (buffering sys-
tem) on the electrostatic characteristics of the MNP surface. It in turn leads to an observable effect on the binding
of the charged peptides, while the uncharged peptides binding affinity, although present, remains untouched. For the experiments, we choose buffers with different dissociation constants, and different sign and number of
charged species. We find that for certain buffer conditions, the MNP surface is not homogeneous in charge and
concurrently binds peptides with different physico-chemical characteristics. In literature, various models such as
the Stern-Gouy-Chapman model43,44, the triple-layer model (TLM)45, physical surface-complexion model46 or
the charge distribution-multi site complexation (CD-MUSIC) model47,48 have been employed to describe similar
surface systems. These models assume heterogeneous surfaces interacting with the surrounding ion layers. Some
studies also included the influence of buffer ions on the adsorption of metal cations49. Binding patterns of homo-peptides
on bare magnetic nanoparticles:
insights into environmental
dependence In this investigation we
explore the influence of the buffer on MNP-peptide interactions and rationalise our findings by means of a model
which quantitatively reproduces the change in the loading of the charged peptides on the surface for all the stud-
ied conditions. These insights enable us not only to understand interaction rules but also to develop peptides that
reversibly bind MNP as a function of the buffer. Binding patterns of homo-peptides
on bare magnetic nanoparticles:
insights into environmental
dependence In this study, we measure the interaction between bare MNP and
homo-peptides using peptide arrays. Peptide arrays are commonly used in the biological context18–22 but have
also found application in the tag development for metals and metal oxides23–25. This technique is particularly well
suited, since iron oxide MNP stain distinctively, leaving dark spots when bound to peptides on a white cellulose
membrane.hf The interaction of peptides to surfaces in general is affected by many factors, such as structure26,27, stoichiome-
try28, pH29, temperature and solvent conditions30,31, surface protonation state32, possible peptide conformation33,34
and composition35. Additionally, the conformation and binding states of short peptides to metal oxide nanoparti-
cles are influenced by pH and buffer conditions36. Apart from this paper, the importance of the buffer species was
only recently addressed in the context of biological systems37, where their impact on bio-nano interactions was,
however, not discussed. In comparison to homogeneous surfaces, such as carefully grown gold and platinum, or
a single crystalline surface, iron oxide MNP present a particularly challenging target concerning their representa-
tion by an atomistic model, mostly due to the great heterogeneity present38–40. For this reason, it is difficult to
utilise quantitative models based on ab-initio calculations that have been proven successful for other surfaces41,42. In this work, we present the first systematic adsorption study of the homo-hexamers of 20 natural amino acids
with magnetic nanoparticles and show clear evidence for a strong influence of the environment (buffering sys-
tem) on the electrostatic characteristics of the MNP surface. It in turn leads to an observable effect on the binding
of the charged peptides, while the uncharged peptides binding affinity, although present, remains untouched. For the experiments, we choose buffers with different dissociation constants, and different sign and number of
charged species. We find that for certain buffer conditions, the MNP surface is not homogeneous in charge and
concurrently binds peptides with different physico-chemical characteristics. In literature, various models such as
the Stern-Gouy-Chapman model43,44, the triple-layer model (TLM)45, physical surface-complexion model46 or
the charge distribution-multi site complexation (CD-MUSIC) model47,48 have been employed to describe similar
surface systems. These models assume heterogeneous surfaces interacting with the surrounding ion layers. Some
studies also included the influence of buffer ions on the adsorption of metal cations49. Results
M
ti Magnetic nanoparticles present a chimeric surface to peptides. We first investigated the binding
behaviour of the nonfunctionalised magnetite nanoparticles (MNP) to peptides at a moderately basic pH of 7.4
in tris buffered saline (TBS) solution. These particles had been extensively characterised previously with respect
to their shape and size distribution by TEM and XRD (see Fig. 2 and ref.17) and their chemical composition by
XPS, Mössbauer (See supplementary information Figure S1 and ref.17) and ATR-IR spectroscopy50. The crystal-
line particles present a spherical shape and a particle size of around 13.5 nm as shown in Fig. 2. The particles yield
a typical spinel crystal pattern (JCPDS card no. 85-1436) with a Scherrer diameter of 8.3 nm which can also be
observed in Fig. 2. g
In TBS pH 7.4, zeta potential measurements indicate that the MNP surface is slightly positively charged (see
Table 1). The point of zero charge was determined to be approximately 7.8 by acidometry measurements50. Under
these conditions, one might expect that negatively charged peptides would bind to the surface with a high affinity. SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 2 www.nature.com/scientificreports/ www.nature.com/scientificreports/ Figure 2. Transmission electron microscopy (TEM) image of magnetic nanoparticles used for peptide array
binding experiments (top left) with corresponding particle size distribution (top right). X-ray diffractrogram of
the freeze-dried nanoparticles (bottom left) and potentiometric titration (bottom right). Figure 2. Transmission electron microscopy (TEM) image of magnetic nanoparticles used for peptide array
binding experiments (top left) with corresponding particle size distribution (top right). X-ray diffractrogram of
the freeze-dried nanoparticles (bottom left) and potentiometric titration (bottom right). Buffer
pH
Zeta potential, mV
TBS
7.4
+ 3.7 ± 0.2
8
−5.6 ± 0.3
PBS
6
−27 ± 1.5
7.4
−25 ± 1.3
8
−27.8 ± 1.5
CBS
6
−34.7 ± 1.8
Table 1. Zeta potentials of magnetic nanoparticles in different buffers and at different pHs used in the peptide
array experiments. The values are the average of 10 measurements and an experimental error of 5.3% was
determined for static zeta potential measurements. Table 1. Zeta potentials of magnetic nanoparticles in different buffers and at different pHs used in the peptide
array experiments. The values are the average of 10 measurements and an experimental error of 5.3% was
determined for static zeta potential measurements. Table 1. Zeta potentials of magnetic nanoparticles in different buffers and at different pHs used in the peptide
array experiments. www.nature.com/scientificreports/ www.nature.com/scientificreports/ Figure 3. Binding scores of magnetic nanoparticles on peptides at pH 7.4 and pH 8 in TBS. The dashed line
indicates the noise level in this experiment and the error bars show the standard deviation of the membrane
duplicates. Figure 3. Binding scores of magnetic nanoparticles on peptides at pH 7.4 and pH 8 in TBS. The dashed line
indicates the noise level in this experiment and the error bars show the standard deviation of the membrane
duplicates. Figure 4. Peptide array scores of MNP at different pHs in phosphate buffered saline (PBS). The noise level is
denoted by the dashed line; n = 2. Figure 4. Peptide array scores of MNP at different pHs in phosphate buffered saline (PBS). The noise level is
denoted by the dashed line; n = 2. When the pH is changed to 8, the surface charge of the iron oxide nanoparticles is expected to become more
negative. In accordance with this expectation, the binding scores of the negative peptides also drop from their
value at the pH 7.4, while the binding scores of positive peptides rise; nevertheless, binding of both species is
visible, as before. The binding of the species with the same charge polarity suggests that the nanoparticles present
sites with locally varying charge polarity. Regarding the uncharged peptides, the change in the pH from 7.4 to 8
shows no distinct trend observable with regard to the experimental accuracy (Fig. 3). The lack of change in the
binding scores for uncharged peptides implies that their adsorption is governed by forces that are not influenced
by a change in the pH. In fact, the uncharged peptides have the same binding score regardless of the buffer solu-
tion and over the whole pH range for all the experiments performed, as seen in Figure S8 where a summary is
given for the peptide interaction scores with MNP in all the different buffer conditions comparing the charged
(Figure S8a) and the uncharged (Figure S8b) peptides. We clearly observe that a trend can be seen for the change
in the scores of the charged peptides as a function of the buffer solution and the pH, while the uncharged peptides
are unaffected with regard to these variables. Results
M
ti The values are the average of 10 measurements and an experimental error of 5.3% was
determined for static zeta potential measurements. In agreement with this expectation, the colorimetric data in Fig. 3, which corresponds to the absorbed mass
of MNP on spots of the same size and peptide density for all experiments, show that at a pH of 7.4, the nega-
tively charged hexa-glutamic acid (6E) and hexa-aspartic acid (6D) peptides show the highest adsorption on
the MNP. Surprisingly, however, the second highest set of scores at pH 7.4 is observed for the positively charged
hexa-arginine (6R), hexa-lysine (6K), followed by 5RH and 5RE, as well as hexa-histidine (6H) peptides. Histidine
has a low percentage of positively charged side chains at a pH of 7.4, as indicated by its theoretical pI of 7.21 deter-
mined by the ProtParam Tool by ExPASy51. Histidine and carboxy groups are also known to form inner sphere
complexes with metal ions52,53. The uncharged peptides come next although at a much lower score. Hence, the
first observation is that the peptides can be categorised in their adsorption scores based on their charge. We also
find that the nanoparticles do not bind strongly to the nonfunctionalised membrane seen from the low back-
ground noise level shown in the graph 3; all colorimetric scores are reported relative to this background. It is
known that hydrophobic amino acids may interact with the membrane; we took care to pre-treat the membrane
with methanol to minimise this effect. Next we analysed the loading of the membrane in MES buffered saline at
pH 6 (see Figure S6). A similar binding pattern was obtained. SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 3 SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 www.nature.com/scientificreports/ www.nature.com/scientificreports/ Substance
pKa(1)
pKa2
pKa3
Source
Charge of dominant species
Chemical structure at pH 7
At pH 6
At pH 7.4
At pH 8
Tris
8.07
55
+ 1
+ 1
+ 1
Phosphate
2.16
7.21
12.33
68
−1
−2
−2
Citrate
3.13
4.76
6.40
69
−2
−3
−3
Table 2. Acid dissociation constants of buffer molecules used in the peptide array binding experiments at 25 °C
in aqueous solutions. Table 2. Acid dissociation constants of buffer molecules used in the peptide array binding experiments at 25 °C
in aqueous solutions. Figure 5. Binding scores of magnetic nanoparticles to peptides in citrate buffered saline pH 6 (CBS). The
dashed line denotes the background noise level. Error bars were derived from the standard deviation of 4
measurements (two experiments were performed with membrane duplicates). Figure 5. Binding scores of magnetic nanoparticles to peptides in citrate buffered saline pH 6 (CBS). The
dashed line denotes the background noise level. Error bars were derived from the standard deviation of 4
measurements (two experiments were performed with membrane duplicates). Buffer conditions, not only pH, control peptide affinity. Focusing on the charged peptides we con-
sidered ways to manipulate the density of positively and negatively charged spots on the surface which are in the
nanometer scale5. The surface composition of the MNP can be modulated during MNP synthesis or through a
chemical post-synthetic modification which we wanted to avoid. An in-situ opportunity to modify the effec-
tive concentration of patches on the surface arises through buffer manipulation. The effective binding surface
the nanoparticles present to the peptide is defined by the charge concentration in the inner Helmholtz plane,
which depends on the buffer conditions (buffer species and their concentrations)54. Hereby, ions from the buffer
compete with the (charged) groups of the peptide for adsorption. As the pKa of the buffer, tris(hydroxymethyl)
aminomethane (tris), is 8.07 at 25 °C55, a mixture of neutral and monovalent cationic tris molecules are present at
the pHs of 7.4 and 8 in our experiments. Hence, to vary the number of available positive surface positions, further
binding experiments were conducted in phosphate buffered saline (PBS, see Fig. 4), with phosphate present in
the dissociated, anionic form at all of the aforementioned pH values (see Table 2). www.nature.com/scientificreports/ As a result, within the accuracy of the measurements, the choice of
buffer and the pH cannot be adequately linked to the binding affinity of the uncharged peptides, or be used to
further categorise them with regard to their physical properties. Only 6P (hexa-proline) and 6Y (hexa-tyrosine)
show a slight change in the score as a function of pH, but an overall rationalisation of this effect is hindered by the
lack of an experimentally significant change in the rest of the (13 other) uncharged peptides. SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 4 www.nature.com/scientificreports/ www.nature.com/scientificreports/ Figure 6. Schematic representation of a nanoparticle surface with positive, negative and neutral ‘‘spots”,
denoted by red, blue and white squares, respectively. Charged buffer species are represented by red and blue
circles for positive and negative charges, respectively, peptides depicted by lines. The proportion of charged
spots is exaggerated for the sake of illustration. Figure 6. Schematic representation of a nanoparticle surface with positive, negative and neutral ‘‘spots”,
denoted by red, blue and white squares, respectively. Charged buffer species are represented by red and blue
circles for positive and negative charges, respectively, peptides depicted by lines. The proportion of charged
spots is exaggerated for the sake of illustration. with increasing pH, which is commensurate with an increase in negative charge on the MNP surface. We find
that 6K scores are higher than 6R despite having a lower pKR of 10.53 compared to 12.48 (Table S1)56. It has been
argued that the charge delocalisation in the guanidinium group of arginine leads to a reduction in its hydrogen
bond donating capacity to phosphate groups compared to that of lysine57, which may account for this observation. In contrast to the results from TBS, there is a much lower MNP adsorption on negatively charged spots, suggest-
ing that ions in the solution compete with the peptides for nanoparticle binding. Buffer conditions can thus be
varied to manipulate the local density of positive and negative binding sites. Just as in TBS, however, uncharged
peptides exhibit binding which is smaller than the charged ones and is indifferent to the change of the pH.ff p p
g
gf
g
p
For the following tests, we chose a buffer with bivalent and trivalent anions. In citrate buffered saline (CBS) at
pH 6 (Fig. 5, pka values shown in Table 2), positive peptides bind the highest quantity of magnetic nanoparticles
while on negatively charged peptides no binding can be seen whatsoever. The scores for the uncharged peptides
are also decreased, although remain constant from peptide to peptide. These findings are consistent with the
fact that bivalent anionic buffer molecules are rather strongly adsorbed onto the iron oxide surface; this is also
reflected by a change in the zeta potential from a positive value to a negative value (see Table 1 and ref.58). www.nature.com/scientificreports/ A closer look at the interaction
score under these conditions reveals a clear trend of an increased binding of MNP to positively charged peptides SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 5 www.nature.com/scientificreports/ www.nature.com/scientificreports/ Figure 7. Comparison of the theoretically and the experimentally obtained binding affinities for charged
homo-peptides in oppositely charged buffers and different pH. All values were recalculated to be proportional
to Gibbs free energy of binding. Figure 7. Comparison of the theoretically and the experimentally obtained binding affinities for charged
homo-peptides in oppositely charged buffers and different pH. All values were recalculated to be proportional
to Gibbs free energy of binding. adsorption models60, such as the multisite CD-MUSIC approach48. In these models, the surface is composed of a
set of binding sites with a specific local chemistry that interact with ions and other adsorbates in solution. Because
the loading of the surface correlates strongly with the charge of the peptides, in this investigation we perceive
the bare MNP to present positive, negative and neutral binding “spots”52,61 (roughly the size of an amino acid5)
that can competitively or cooperatively react with the components of the solution, as illustrated in Fig. 6. As the
trends to be explained are found to be strongly related to the electrostatic nature of the species, only electrostatic
interactions are considered in the model, in order to derive design rules regarding the adsorption of the charged
peptides to the unfunctionalised MNP under various buffer conditions.f p pf
Due to the fact that the concentration of buffer molecules is at least an order of magnitude larger than the
concentration of the magnetite nanoparticle binding sites and many orders of magnitude larger than the con-
centration of the peptide molecules (see Figure S4) we can use a hierarchical framework of chemical equilibria. Thereby, the buffer ions react first with the particle and the buffer composition and the pH determine the con-
centration of the ionic species on the surface, which is then able to bind to the peptide (Fig. 6) independent of the
concentration of the peptide itself. In this way the nanoparticle is assumed to present an effective surface to the
peptides defined by the buffer solution. if
The spots on the surface may be considered either as a homogeneous binding site in the sense of a
multisite-adsorption model48 or may have a size smaller than that of the peptides. www.nature.com/scientificreports/ Recent MD simulations sup-
port such a picture for peptide binding on titania and silica, where the peptide surface interactions are rational-
ised by the interactions of individual amino acids with specific surface sites, either directly, or mediated by the
solvent27,42,62–64. Under these conditions, peptides of increasing length would need to bind to multiple spots. As
positive and negative spots are present on the surface and the amino acids are constrained by peptide bonds,
the peptide is presented to a large set of arrangements of positive, negative and neutral spots on the surface with
a concentration that varies with pH and the buffer. However, due to the MNP surface being in a great excess
compared to the peptide and hence containing a large amount of randomly distributed adsorption sites, it can
be assumed that suitable patterns on the MNP surface exist for the peptides to bind. If there were not enough
suitable adsorbing site patterns on the surface to accommodate the peptides, the influence of the buffer and the
pH would be hindered and the observation of the significant functionalities seen from Figures 3, 4 and 5 would
not be possible. Figure S9 shows that there is a size dependence of the binding score, which indicates that multiple
amino acids can participate in the interaction of the peptide with the surface. p
p
p p
In order to model the loading on the homo-peptides, we have used the interactions of the individual amino
acids with the MNP surface. We have computed the free energies of binding using all-atom peptide models within
an implicit solvent/implicit surface approximation, where the interaction strength of an individual amino acid
with the surface is parameterised heuristically (See SI). We note that this model does not assume any particular
peptide conformation, but only that the free energy of binding of a charged peptide is proportional to the charge
of the peptide and the concentration of the positive and negative spots on the MNP surface. As Figure S8 indicates
for peptides of up to length eight, there is an almost linear relationship between the affinity of the peptide and its
length, which is effectively the result of the lack of the influence of the conformational structure of the peptide. SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 www.nature.com/scientificreports/ The
high score of positive peptides in CBS compared to TBS and PBS at similar or higher pHs may in addition contain
the effect of ionic interactions between the lysine amino groups with citrate bound to the MNP surface59. A patchwork model for the observed peptide-surface interactions. In order to interpret the experi-
mental results for the charged peptides, we investigate a theoretical approach to explain the diverse binding prop-
erties of peptides with different physiochemical characteristics as a function of the environmental conditions. The experimental data suggest that there is a strong interplay between the buffer conditions and the interaction
strength of the charged peptides with MNP. Our model is conceptually similar to the surface complexation and SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 6 www.nature.com/scientificreports/ www.nature.com/scientificreports/ Figure 8. Binding scores of MNP on wet membrane after incubation in TBS pH 7.4 for 1 h and after membrane
transfer to CBS pH 6 for 1 h. The noise level is represented by the dashed line. Two membrane replicates were
used to obtain the data and the average and standard deviation was calculated from it. Figure 8. Binding scores of MNP on wet membrane after incubation in TBS pH 7.4 for 1 h and after membrane
transfer to CBS pH 6 for 1 h. The noise level is represented by the dashed line. Two membrane replicates were
used to obtain the data and the average and standard deviation was calculated from it. concentration of the positive and negative spots after reacting with the buffer were thus computed for all exper-
imental situations. The fractional loading (proportional to the score of the measurements) is then correlated
with the charge of the peptide. As the fractional loading is proportional to the interaction strength, the model
assumes that the positive (K,R) and negative (E,D) amino acids are characterised each by one single interaction
parameter. As Fig. 7 illustrates, the obtained result is consistent with the observed MNP loading of the membrane
for all buffer conditions, including those with a high variety in the fractional loading. The good correlation found
between the computed and the observed loadings indicates that the interaction of the peptide with the surface is
largely determined by its charging interactions with the surface patches of the opposite sign. This is in line with
the overall experimental finding that the buffer/pH conditions influence mostly the electrostatic interactions,
thereby not influencing the uncharged peptides in a recognisable manner within the measurement accuracy. It is
hence the concentration of the surface patches that is affected by the composition of the buffer. Reversible peptide binding. This analysis suggests that manipulation of the buffer may be exploited for
reversible peptide binding. In order to demonstrate this effect, we first prepared MNP in TBS at pH 7.4, which
is favourable to bind negatively charged peptides (see Fig. 8). After binding the peptides, we washed the peptide
array membrane three times with TBS and an image of the wet membrane was taken. www.nature.com/scientificreports/ For the other experiments
the membrane had been dried before the scanning in order to increase the contrast, but this would prolong the
desorption of MNP due to the need to rehydrate the particles. The wet membrane was therefore transferred to
fresh CBS with a pH of 6. Under these conditions, all positively charged MNP surface sites should be covered by
bivalent anionic citrate ions, which are available in excess in solution. After an incubation time of 1 h in CBS, we
found that the amount of MNP on the hexa-glutamate and hexa-aspartate spots were greatly reduced showing
the reversibility of the interaction. On the other hand, the binding affinity towards positive peptides increased
showing a reorganisation of the nanoparticles on the array. www.nature.com/scientificreports/ A similar, one-to-one relationship was observed experimentally for the tetra-to deca-homomers of aspartic and
glutamic acid (Figure S9b).i g
g
Based on this analysis we now test a simplified model for the binding of charged peptides to MNP in var-
ying buffer conditions (see model section in the SI for details). The fraction of charged buffer species and the SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 7 SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 Materials and Methods The degassed particle suspensions were adjusted to a con-
centration of 2 g L−1 and equilibrated at a pH of 4 overnight. The whole titration was conducted under nitro-
gen atmosphere at 298.5 K with HCl and NaOH as titrands and two different NaCl concentrations of 10 and
100 mmol L−1. Magnetic nanoparticle binding assay. In order to determine the binding of peptides to bare magnetic
nanoparticles (MNP) CelluSpot peptide arrays from Intavis with 5 to 10 nmol of peptides per spot were used. The peptides were bound to the cellulose membrane via the C-terminus and the free N-terminus is acetylated. The spot diameter was 2 mm. A schematic picture of the setup is shown in Fig. 1. The membrane on which the
peptides had been synthesised by the manufacturer was conditioned with 1 mL of methanol in order to rehydrate
hydrophobic peptides67. Methanol is toxic and should be handled with care. The buffers used were 50 mM of cit-
rate (CBS), phosphate (PBS), tris(hydroxymethyl) aminomethane (TBS) and 2-(N-morpholino)ethanesulfonic
acid (MES-BS) in double distilled water and were supplemented with 137 mM NaCl and 2.7 mM KCl. Finally,
Tween 20 was added to a concentration of 0.25% (v/v) to the buffers to reduce nonspecific binding. The orbital
shaker used for incubation was MulitBio3D from Biosan.hf The array membrane was washed three times for 10 min each with 50 mL of buffer rotating of the orbital
shaker at 30 rpm. After washing, the membrane was incubated for 60 minutes in a 0.4 g/L MNP suspension25 at
the same rocking speed. The MNP suspension was freshly prepared before the experiment by adding buffer to
lyophilised nanoparticles and sonicating for 15 minutes. Unbound particles were removed from the membrane
by washing with buffer three times for 10 minutes. In order to test for reversible binding, the membrane was
consecutively incubated in the buffer of interest for 1 h. The cellulose membrane was dried overnight at 4°C; then
an image was taken using a GelDoku station. An example picture is shown in Figure S2. To quantify the staining
of the spots, the microarray profile plugin for ImageJ was used. The output of this plugin is a mean value of the
spot darkness, which is correlated to the amount of bound magnetic nanoparticles. An average value of the back-
ground was determined from 32 spots on the membrane without any peptides. Materials and Methods All reagents used are commercially available and were used as received from the manufacturer without further
purification. All reagents used are commercially available and were used as received from the manufacturer without further
purification. Synthesis of bare magnetic nanoparticles. The bare iron oxide nanoparticles employed for this study
were synthesised by co-precipitation of Fe2+ and Fe3+ in alkaline aqueous solutions according to our previously
optimised procedure66. 21.2 g of FeCl3 × 6 H2O and 8.3 g of FeCl2 × 4 H2O were dissolved in 200 mL of deionised,
degassed water resulting in a Fe(III): Fe(II) ratio of 1.9: 1. This iron chloride solution was added to 1 L of 1 M
NaOH prepared with deionised, degassed water stirring at 250 rpm in a reaction vessel. The reaction mixture was
kept under a nitrogen atmosphere at 25 °C and stirred for an additional 30 minutes before the resulting nanopar-
ticles were washed with deionised water until the conductivity of the MNP solution was below 200 µS cm−1. In
order to separate the particles, the mixture was placed on a NdFeB permanent magnet. Suspensions were lyoph-
ilised with an ALPHA 1-2LD plus from Martin Christ Gefriertrocknungsanlagen GmbH, Germany in order to
obtain solid particles. FeCl3 × 6 H2O and sodium hydroxide were purchased from AppliChem GmbH, Germany
in the highest purity available. FeCl2 × 4 H2O extra pure was obtained from Merck KGaA, Germany. Transmission electron microscopy (TEM). TEM images were recorded using a JEM 100-CX (JEOL
GmbH, Germany). For the TEM measurements the colloidal samples were diluted in degassed and deionised
water, ultrasonicated to disperse any agglomerates and precipitated on carbon coated copper grids (Quantifoil
Micro Tools GmbH, Germany). The pictures were manually processed in ImageJ. 30 particles were measured in
random order. X-ray diffraction (XRD). Crystal structure and phase purity of the lyophilised samples were examined with
powder X-ray diffraction (XRD). The measurements were performed with a Stadi-P diffractometer (STOE & Cie
GmbH, Germany), equipped with a molybdenum source (λ = 0.7093 Å) and a Mythen 1 K detector (DECTRIS
Ltd., Switzerland) in transmission geometry. Data was collected in the range from 2° to 50° (2θ). The software
package STOE WinXPOW (STOE & Cie GmbH, Germany) was used for indexing and refinement purposes. Potentiometric titrations. Potentiometric titrations were accomplished in an OptiMax™ reactor
(Mettler-Toledo GmbH, Germany) from pH 4 to 10. Conclusionsh The interaction of bare magnetic nanoparticles with all 20 natural amino acids has not previously been documented,
as analytical methods struggle to quantify such affinities. By providing systematic data for homopeptides of all natu-
rally occurring amino acids, we have shown the dependency of their interactions with non-functionalised magnetic
iron oxide nanoparticles as a function of buffer solution and pH. We have demonstrated for bare MNP that chromo-
phoric read-outs prove to be reliable for the characterisation of the interactions with short peptides. We find that
both negative and positive peptides can bind the MNP while the uncharged peptides show relatively small binding
propensity which is indifferent to the buffer and the pH. We therefore conclude that the electrostatic interactions
play a major role in the adsorption of peptides on the MNP. Changing the buffer conditions can hence enable us to
tune the interaction between the peptides and the magnetic nanoparticles. A patchwork electrostatic multisite model
was used to describe the adsorption affinity (free energy) of the positive and negative peptides on oppositely charged
spots on the MNP surface. The results of this analysis indicate that the binding scores of the positive and negative
peptides can be fully explained by electrostatic interactions. It was further demonstrated that a reversible binding
of the negative peptides to MNP can be achieved by changing the buffer conditions. These results provide a basis
for the design of reversible or permanent binding tags for biomolecules that show an affinity to non-functionalised
MNP. We note that this methodology is suitable to identify peptide tags for the binding of a protein to bare mag-
netic nanoparticles and that tag interaction patterns found in peptide arrays are in accordance with the behaviour
of tagged green fluorescent protein (GFP) variants in different buffers65. Such tags pave the way for fast and simple
immobilisation procedures without the need for unstable13,14 and expensive affinity ligands currently in use15. They
therefore have the potential to be used as both efficient and effective tools for the isolation of recombinant proteins. SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 8 www.nature.com/scientificreports/ Materials and Methods The difference between this back-
ground value and the darkness of the peptide spots is dependent on the amount of magnetic nanoparticles that
was adsorbed by the peptides and is therefore an indicator of the binding selectivity of the peptides towards the
MNP. In order to determine the background noise, the standard deviation was calculated for the darkness values
of these 32 spots without any peptides. For each experiment, this noise level is indicated as a dashed horizontal
line in the respective figures. The membrane was regenerated in 100 mM oxalic acid for 40 minutes rotating on the
orbital shaker after each use and washed for 10 minutes with double distilled water three times. Dried membranes
were stored at −20°C in a sealed plastic bag. Zeta potential measurements. A buffered suspension of 0.4 g/L magnetic nanoparticles as used in the
peptide array binding assays described above was sonicated for 15 minutes. The zeta potential was determined
using the Smoluchowski equation in a Beckman Coulter Delsa Nano C at 25 °C. Each measurement was taken
three times with 10 accumulations and a pinhole of 50 µm. SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 9 www.nature.com/scientificreports/ References References
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69. Lide, D. R. CRC Handbook of Chemistry and Physics. A Ready-Reference Book of Chemical and Physical Data. 87th ed. (CRC Taylor
& Francis, Boca Raton, Fla., 2006). Author Contributions S.A.B. planned and performed binding experiments and prepared the figures, S.P.S. synthesised and characterised
the nanoparticles, M.B. and P.A. performed computational analysis, P.A. and P.Y. discussed and analysed the
data, S.A.B. and W.W. analysed the data and wrote the manuscript. P.F.-G. and S.B. discussed the data. P.F.-G.,
S.P.S., S.A.B., P.A., M.B., K.F., P.Y., and W.W. edited the manuscript. M.B. and K.F. contributed with the theoretical
model. S.B. conceived the idea and coordinated the project. Acknowledgementsh This work was funded by the Federal Ministry of Education and Research (Grant No. 031A173A and 031A173B). This work was supported by the German Research Foundation (DFG) and the Technical University of Munich
within the funding programme Open Access Publishing. The Mössbauer spectroscopy measurements were
performed and processed by Professor Fritz Wagner. The authors thank Dr. Isaac Shim for language editing the
manuscript, and Johann Kaiser for help with the peptide array data analysis. www.nature.com/scientificreports/ Poly(L-Lysine)-Modified Iron Oxide Nanoparticles for Stem Cell Labeling. Bioconjugate Chem. 19, 740–750 (2008)
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2172–2180 (2014). SCientifiC REPOrTS | 7: 14047 | DOI:10.1038/s41598-017-13928-6 10 Additional Information Supplementary information accompanies this paper at https://doi.org/10.1038/s41598-017-13928-6. Competing Interests: The authors declare that they have no competing interests. Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and
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Non-signalling energy use in the developing rat brain
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Original Article Journal of Cerebral Blood Flow &
Metabolism
2017, Vol. 37(3) 951–966
! Author(s) 2016
Reprints and permissions:
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DOI: 10.1177/0271678X16648710
journals.sagepub.com/home/jcbfm Keywords y
ATP, brain development, brain slice, energy metabolism, lipids
Received 12 January 2016; Revised 30 March 2016; Accepted 5 April 2016 synaptic function.19,20 To do this, the actin cytoskeleton
treadmills continuously, by adding G-actin monomers
to one end of strands of F-actin and releasing them
at
the
other
end.21
Along
the
F-actin
polymer,
ATP bound to G-actin gets hydrolysed to ADP.22
Bernstein and Bamburg23 claimed that actin cycling
accounted for half of all energy use in neuronal cultures
but, as their experimental method suppresses neuronal
glutamate release, this fraction is likely to be overesti-
mated.24 Conversely, modelling of actin and micro-
tubule turnover suggested that less than 1% of total
brain energy use was spent on actin treadmilling, and
even less on microtubule turnover.24 Experimental data
on the energetic cost of microtubule turnover are Non-signalling energy use
in the developing rat brain Elisabeth Engl1, Renaud Jolivet1,2, Catherine N Hall3
and David Attwell1 Abstract Energy use in the brain constrains its information processing power, but only about half the brain’s energy consumption is
directly related to information processing. Evidence for which non-signalling processes consume the rest of the brain’s
energy has been scarce. For the first time, we investigated the energy use of the brain’s main non-signalling tasks with a
single method. After blocking each non-signalling process, we measured oxygen level changes in juvenile rat brain slices
with an oxygen-sensing microelectrode and calculated changes in oxygen consumption throughout the slice using a
modified diffusion equation. We found that the turnover of the actin and microtubule cytoskeleton, followed by lipid
synthesis, are significant energy drains, contributing 25%, 22% and 18%, respectively, to the rate of oxygen consumption. In contrast, protein synthesis is energetically inexpensive. We assess how these estimates of energy expenditure relate to
brain energy use in vivo, and how they might differ in the mature brain. 1Department of Neuroscience, Physiology & Pharmacology, University
College London, London, UK
2CERN, and De´partement de physique nucle´aire et corpusculaire
(DPNC), University of Geneva, Geneva, Switzerland
3School of Psychology, University of Sussex, Falmer, UK Corresponding author:
David Attwell, Department of Neuroscience, Physiology & Pharmacology,
University College London, Gower St., London WC1E 6BT, UK.
Email: d.attwell@ucl.ac.uk Introduction Energy availability limits information processing in the
brain,1–3 which consumes energy disproportionately in
relation to its fraction of total body mass.4,5 The brain’s
most salient feature is neuronal communication, and
the energetic cost of the different cellular processes
underlying signalling has been well described.1–3,6–11 Most energy use is on the removal of sodium ions that
enter neurons to generate synaptic and action poten-
tials.1,6,11 However, inhibiting the sodium–potassium
ATPase, without which signalling activity ceases, has
shown that around 45% of the brain’s baseline energy
use in vivo is consumed on non-signalling processes,12
which is considerably more than is estimated or assumed
in many models of brain energy use.1,11,13,14 Surprisingly,
it is largely unknown which non-signalling processes con-
sume the rest of the brain’s energy. 1Department of Neuroscience, Physiology & Pharmacology, University
College London, London, UK
2CERN, and De´partement de physique nucle´aire et corpusculaire
(DPNC), University of Geneva, Geneva, Switzerland
3School of Psychology, University of Sussex, Falmer, UK Often called ‘housekeeping’ processes, the many
tasks that the brain performs in addition to signalling
provide the scaffold on which signalling, plasticity and
the encoding of memory can occur. The actin cytoskel-
eton regulates the morphology of the mature neuron, as
well as its growth in development,15–18 and modulates Corresponding author:
David Attwell, Department of Neuroscience, Physiology & Pharmacology,
University College London, Gower St., London WC1E 6BT, UK. Email: d.attwell@ucl.ac.uk Journal of Cerebral Blood Flow & Metabolism 37(3) 952 stage. The bath volume was 2 ml, and solution flowed
over the top, but not the bottom, of the slice. Slices and
electrode placement were observed using a 25 lens. The
aCSF pH was adjusted to 7.4 with NaOH, and con-
tained
(mM)
140
NaCl,
10
D-glucose,
2.5
KCl,
10 HEPES, 1 NaH2PO4, 1 MgCl2 and 2 CaCl2 (osmo-
larity 300 mmol/kg, bubbled with 100% oxygen, and
heated to 36–37C). lacking, even though microtubules also exist in a state
of dynamic instability, growing and shrinking in an
energy-dependent manner, and hydrolysing tubulin-
bound GTP along the way.25–28 Alongside continuous actin and microtubule restruc-
turing, phospholipids and proteins must be synthesised
in the brain. Introduction Experimental data for the energy use of
either process are scarce, but protein synthesis was esti-
mated theoretically to account for no more than 2% of
the total consumption of ATP in the brain1,29 and
retina.14 While phospholipid synthesis was once thought
to be similarly inexpensive,14,30 Purdon and Rapoport31
calculated that up to 25% of total brain ATP may be
used on phospholipid metabolism, mainly on mainten-
ance of the phosphorylation state of lipids (12%), with
another 8% of total ATP spent on transport of
phospholipids through the phospholipid bilayer to main-
tain lipid asymmetry across the membrane,32 and 5% on
recycling and incorporation of short-lived fatty acids
inside phospholipids. Pharmacology To establish whether spontaneous signalling had a detect-
able effect on O2 consumption, postsynaptic currents
were inhibited with 10 mM NBQX þ 50 mM D-AP5, pre-
synaptic transmitter release and postsynaptic events were
blocked with 250 mM cadmium, or action potentials and
evoked synaptic events were inhibited with 1 mM TTX. Actin polymerisation was reversibly blocked with cyto-
chalasin D, which binds to the plus end of F-actin and
prevents G-actin monomer attachment.34 Cytochalasin
does not affect action potential propagation and duration
in cardiac muscle cells.35 Cytochalasin D was dissolved in
DMSO and made up in aCSF to a final concentration of
10mM. When cytochalasin is applied extracellularly, max-
imal inhibitory effects are achieved with a concentration
of 10mM, and the time needed for maximal efficacy is
three to four minutes.34 In order to verify that cytocha-
lasin D does indeed inhibit actin treadmilling, we imaged
isolectin B4 labelled microglia in hippocampal slices (see
Supplementary Methods and Supplementary Figure 1). At rest, microglia constantly survey the brain by
moving their processes.36 If actin treadmilling is inhibited,
the continuous rearrangement of actin underlying micro-
glial process movement should cease, and motility should
decline. Here, we present the first experimental evidence
investigating, with a single approach, the relative con-
tributions of the main non-signalling processes to the
developing brain’s energy budget. We blocked actin
treadmilling, microtubule turnover, or lipid or protein
synthesis in developing rat brain slices. By measuring
oxygen level changes with an oxygen-sensing microelec-
trode as a proxy for energy expenditure, and modelling
oxygen use throughout the slice, we could estimate the
energy used on each process. Slice preparation Experimental protocols were approved by UCL’s Animal
Welfare and Ethical Review Body. Procedures complied
with the regulations of the Animals (scientific procedures)
Act 1986 and reporting follows the ARRIVE (animal
research: reporting of in vivo experiments) guidelines. Following
cervical
dislocation
(no
anaesthesia
was
required for animals of the age and size used), hippocam-
pal slices (300 mm thick) from male and female P10
rats were cut on a Leica VT1200 S vibratome using ice-
cold
slicing
solution
containing
(mM)
124
NaCl,
10 D-glucose, 26 NaHCO3, 2.5 KCl, 1 NaH2PO4,
2 MgCl2, 2.5 CaCl2 and 1 kynurenic acid (bubbled with
95% O2/5% CO2). The dissection followed the ‘magic
cut’ method to maintain synaptic connectivity, using an
angle of 10 for the ‘magic cut’ to preserve the CA1
region.33 Slices were used one to five hours after slicing. HEPES-buffered artificial cerebrospinal fluid (aCSF),
to which blockers were added, was bath-applied (at
2.5 ml/min), while submerged slices rested on the glass
bottom of a bath on the Zeiss LSM 710 microscope Cytochalasin D, the most potent of the cytochala-
sins, was chosen over jasplakinolide, another inhibitor
of actin treadmilling, because the latter can promote
F-actin polymerization as well as stabilization,37,38 and
apoptosis,39 and was preferred over latrunculin because
the latter drug distorts cell shape far more than cytocha-
lasin D.40 Nevertheless, we also applied jasplakinolide to
some slices, as Bernstein and Bamburg23 stated that it
reduced ATP use more effectively than cytochalasin D in
neuronal cultures. In hippocampal slices, jasplakinolide
has been used at concentrations from 0.1–10mM41,37
without changing the electrophysiological properties of
neurons.41 We used 1 mM. Microtubule turnover was reversibly inhibited with
25mM nocodazole (dissolved in DMSO), a non-cytotoxic
microtubule-depolymerizing
agent
binding
to
beta-
tubulin.42 This concentration was shown to be effective
when bath-applied onto hippocampal slices without alter-
ing neuronal electrophysiological characteristics,43 and
nocodazole depolymerises microtubules within minutes.44 953 Engl et al. superfusing the slice, were fitted with steady-state solu-
tions of the following modified diffusion equation To arrest fatty acid synthesis, we used 60 mM 5-(tet-
radecyloxy)-2 furoic acid (TOFA), which inhibits the
acetyl-CoA carboxylase required to catalyse the carb-
oxylation of acetyl-CoA.45 TOFA was dissolved in
DMSO and 0.5% albumin to avoid precipitation. Modelling oxygen consumption through the slice The [O2] depth profiles obtained in each condition were
used to model oxygen consumption throughout the
slice, as in Hall et al.51 The depth profile data points,
obtained
during
continuous
flow
of
the
solution Oxygen recordings A Unisense Clark-type oxygen microsensor (OX-10),
which generates a current proportional to the oxygen
concentration,49 was used to measure the oxygen level
at the slice surface (in the CA1 region of the hippocam-
pus) and at three different depths in the slice before,
during and after the application of a blocker of each
non-signalling process (see Figure 1 and Supplementary
Methods). Recordings were calibrated (Figure 1(d))
using solutions bubbled with known partial pressures
of oxygen (converted to mM using Henry’s law and the
solubility50 of O2: see Supplementary Methods). Individual depth profiles, and depth profiles aver-
aged over all slices, including the unstirred layer
above the slice surface, were fitted with the non-linear
least-square
curve
fitting
function
lsqcurvefit
in
MATLAB. All fits were evaluated by calculating the
proportion of the sum of the squared residuals (differ-
ence between data and fit) explained by the fit (R2), and
all fits in this paper had R2 > 0.95. Since the electrode moved across the hippocampus
when being lowered into the slice along its axis (starting
from CA1 and usually not venturing beyond the stratum
lacunosum-moleculare), we established that the baseline
oxygen level was similar throughout the hippocampus by
measuring the surface oxygen level at 28 points across 9
hippocampal regions (Figure 2(a) and (b)). We further
determined the energy consumption on spontaneous
electrical signalling in the hippocampal slice by blocking
distinct signalling related processes (Figure 2(c)). Most analyses involved measuring the [O2] profile
through the depth of the slice; however, some experi-
ments examined only the [O2] on the slice surface. Although the surface cell layer can be damaged by
the slicing process33,56 up to a depth of 10 to 35 mm,
this does not invalidate the use of surface [O2] measure-
ments to assess the [O2] consumption of the slice,
because the surface [O2] does not just reflect local meta-
bolic activity, but reflects O2 use throughout the slice
and thus changes when metabolic activity is altered (see
plots in Figures 4(a) and (b), 5(a) and (b) and 6(a)). Slice preparation On
adipocytes, 50 mM TOFA is efficacious within 15 min.46
Application of 60 mM TOFA for up to one hour does
not alter neuronal viability.45 D @2c
@x2 ¼ cVmax
c þ Km
ð1Þ ð1Þ where D ¼ 1.54 109 m2/s is the diffusion coefficient of
O2 in brain at 37C,52 c is oxygen concentration, x is
distance into the slice in mm, Vmax denotes the maximum
rate of oxidative phosphorylation at saturating oxygen
concentration in mM/min, and Km¼1 mM53 is the EC50
for oxygen activating oxidative phosphorylation. In
equation (1), the left-hand side represents diffusion and
the right-hand side represents the consumption of
oxygen by mitochondria. This was solved using the
pdepe function in MATLAB (the MathWorks; scripts
available on request). At the bottom of the slice, we
applied the boundary condition dc/dx ¼ 0. Anisomycin, an inhibitor of mRNA translation, was
used at 20 mM (dissolved in DMSO) to inhibit protein
synthesis. Anisomycin blocks protein synthesis within
minutes at this concentration in hippocampal slices
without affecting basal synaptic transmission.47,48 To inhibit the sodium–potassium ATPase, 1 mM
ouabain was applied for 10 min in external solutions
containing either 2 mM Ca2þ or 2 mM EGTA. To
block all oxidative phosphorylation, 25 mM antimycin
was applied for 20 min. Above the surface of a slice, there is an unstirred layer
of solution with no oxygen consumption, but only
oxygen diffusion towards the slice from the bulk solution
above51,54 with a diffusion coefficient for oxygen in water
at 37C of 2.68 109 m2/s.55 Consequently, the oxygen
concentration
in
the
unstirred
layer
gradually
approaches that of the bulk solution with greater dis-
tance from the membrane.54 In slices across all experi-
mental conditions, the unstirred layer was measured
after the experiment and incorporated into the fits of
slice oxygen data in order to more accurately estimate
changes in O2 consumption in the slice from changes in
the O2 depth profiles (see Supplementary Methods). Equal percentages (see Supplementary Methods) of
solvents or carrier proteins used were added to all the
extracellular solutions in any particular experiment in
order to rule out any confounding effects they may
have. See Supplementary Methods for drug prepar-
ation and purchasing information. Statistics The oxygen sensor was placed at the surface (touching the tissue) of the hippocampal brain slice at
start of the experiment. After 10 min of baseline measurement, a depth profile of O2 concentration was obtained by moving the
trode along its own axis to generate a vertical depth of 50, 100, and 150 mm (the midpoint of the slice) into the slice (see
plementary Methods). After obtaining the [O2] depth profile, the electrode was returned to the surface. Depth profiles measured
a greater spatial resolution, or with measurement points beyond the slice midpoint, did not affect the calculation of oxygen
sumption through the slice (see Supplementary Figure 3). A specific blocker of an energy-consuming process was bath-perfused
o the slice for 7–20 min (see Materials and Methods and Supplementary Methods). A second [O2] depth profile was obtained at the
of the drug application, when the oxygen level had reached a plateau. After a 10–15 min recovery period and a third [O2] depth
ile, 1 mM glutamate was applied to the slice and a final [O2] depth profile was obtained after oxygen levels stabilized after 3–5 min. ve the slice surface, oxygen diffuses through an unstirred layer but is not consumed. (c) Sample depth profile for [O2] through a
ocampal slice (CA1 region). The [O2] at the slice surface is lower than at the top of the static unstirred layer, where, in turn, 0.6
(c)
Time (min)
Oxygen (mM)
slice surface
0.3
0.4
0.5
0
0.5
1
1.5
2 (d)
(d) d)
Electrode reading (V)
0% O 2
20% O 2
95% O 2
0
200
400
600
800
1000
0
2
4
6
d)
) ) Time (min) (e)
Oxygen (mM)
0.6
0
0.4
0.2
0
200
-200
Unstirred layer
Slice (f)
Calibrated oxygen levels
normalised to surface (=1)
-200
0
-100
-300
-400
1
1.2
2
2.2
2.4
1.4
1.6
1.8 Figure 1. Measuring oxygen and calculating energy use in a brain slice. (a) A Clark-type oxygen sensor was used to measure oxygen
concentration during the experiment (electrode schematic adapted from Unisense:49 for sensor information see Supplementary
Methods). (b) Experimental outline. The oxygen sensor was placed at the surface (touching the tissue) of the hippocampal brain slice at
the start of the experiment. Statistics Data are shown as mean standard error of the mean
(s.e.m.). After confirming that the data were normally Journal of Cerebral Blood Flow & Metabolism 37(3) 954 0.6
(b)
(a)
Oxygen
-0.8 V
Gas-permeable
membrane
Sensing cathode
Reduction
Current
Anode
(c)
Time (min)
Oxygen (mM)
slice surface
0.3
0.4
0.5
0
0.5
1
1.5
2
(d)
Electrode reading (V)
0% O 2
20% O 2
95% O 2
0
200
400
600
800
1000
0
2
4
6
(f)
(e)
Calibrated oxygen levels
normalised to surface (=1)
-200
0
-100
-300
-400
1
1.2
2
2.2
2.4
1.4
1.6
1.8
Oxygen (mM)
0.6
0
0.4
0.2
0
200
-200
Unstirred layer
Slice
Unstirred layer
(d)
)
50 µm
150 µm
100 µm
Slice surface
Bathing solution
Bath
Time
re 1. Measuring oxygen and calculating energy use in a brain slice. (a) A Clark-type oxygen sensor was used to measure o
ntration during the experiment (electrode schematic adapted from Unisense:49 for sensor information see Supplementa
ods). (b) Experimental outline. The oxygen sensor was placed at the surface (touching the tissue) of the hippocampal brain s
art of the experiment. After 10 min of baseline measurement, a depth profile of O2 concentration was obtained by movi
d
l
it
i t
t
ti
l d
th
f 50 100
d 150
(th
id
i t
f th
li
) i t
th
li
( (b)
Unstirred layer
50 µm
150 µm
100 µm
Slice surface
Bathing solution
Bath
Time (a)
Oxygen
-0.8 V
Gas-permeable
membrane
Sensing cathode
Reduction
Current
Anode 0.6
Oxygen
-0.8 V
Gas-permeable
membrane
Sensing cathode
Reduction
Anode
(c)
Time (min)
Oxygen (mM)
slice surface
0.3
0.4
0.5
0
0.5
1
1.5
2
(d)
Electrode reading (V)
0% O 2
20% O 2
95% O 2
0
200
400
600
800
1000
0
2
4
6
(f)
(e)
Calibrated oxygen levels
normalised to surface (=1)
-200
0
-100
-300
-400
1
1.2
2
2.2
2.4
1.4
1.6
1.8
Oxygen (mM)
0.6
0
0.4
0.2
0
200
-200
Unstirred layer
Slice
(d)
)
50 µm
150 µm
100 µm
Slice surface
Bath
Time
ure 1. Measuring oxygen and calculating energy use in a brain slice. (a) A Clark-type oxygen sensor was used to measure oxygen
centration during the experiment (electrode schematic adapted from Unisense:49 for sensor information see Supplementary
hods). (b) Experimental outline. Statistics After 10 min of baseline measurement, a depth profile of O2 concentration was obtained by moving the
electrode along its own axis to generate a vertical depth of 50, 100, and 150 mm (the midpoint of the slice) into the slice (see
Supplementary Methods). After obtaining the [O2] depth profile, the electrode was returned to the surface. Depth profiles measured
with a greater spatial resolution, or with measurement points beyond the slice midpoint, did not affect the calculation of oxygen
consumption through the slice (see Supplementary Figure 3). A specific blocker of an energy-consuming process was bath-perfused
onto the slice for 7–20 min (see Materials and Methods and Supplementary Methods). A second [O2] depth profile was obtained at the
end of the drug application, when the oxygen level had reached a plateau. After a 10–15 min recovery period and a third [O2] depth
profile, 1 mM glutamate was applied to the slice and a final [O2] depth profile was obtained after oxygen levels stabilized after 3–5 min. Above the slice surface, oxygen diffuses through an unstirred layer but is not consumed. (c) Sample depth profile for [O2] through a
hippocampal slice (CA1 region). The [O2] at the slice surface is lower than at the top of the static unstirred layer, where, in turn, 955 Engl et al. distributed using the Kolmogorov–Smirnov test, one-way
or two-way ANOVAs (repeated measures where appro-
priate) or paired or one-sample t-tests were used to
compare means, and data were corrected for multiple comparisons with Dunnett’s post hoc test or a modified
Holm–Bonferroni
correction
(see
Supplementary
Methods). Degrees of freedom are reported in brackets
after the t or F statistic, respectively. [Oxygen] change (µM)
(b)
(a)
(c)
1
2
3
4
granule cells
6 5
25
26
dentate
gyrus
7
8
9 CA4
10
11
12
13
14
CA3 pyramidal cells
15
16
CA2
pyr. cells
17
18
CA1 pyramidal cells
22
23
24
27
19
20
21
str. lac.-mol. mossy
fibres
28
fimbria
[Oxygen] (mM)
DGG
DG
CA4
CA3P
CA2P
CA1P
SL-M
MFP
F
p=0.44
NBQX
+ D-AP5
TTX
Cadmium
Baseline
50
0
-100
-50
100
p=0.26
0.3
0.4
0.2
0
0.1
Figure 2. Baseline metabolic activity in a brain slice. (a) Constructing a hippocampal oxygen map of a P10 rat slice. The oxygen
sensor was used to measure surface oxygen levels at each point on the schematic. Statistics mossy
fibres
28
fimbria
[Oxygen] (mM)
DGG
DG
CA4
CA3P
CA2P
CA1P
SL-M
MFP
F
p=0.44
0.3
0.4
0.2
0
0.1 Figure 2. Baseline metabolic activity in a brain slice. (a) Constructing a hippocampal oxygen map of a P10 rat slice. The oxygen
sensor was used to measure surface oxygen levels at each point on the schematic. The points were binned into nine distinct areas,
colour-coded in (b). During the experiments reported subsequently in the paper, the electrode was placed in the CA1 region and
advanced down through the slice into the stratum lacunosum-moleculare. (b) Mean ( s.e.m.) of oxygen concentration binned into
the hippocampal regions shown in (a), n ¼ nine slices, N ¼ three animals. The following area measurements were binned: DGG
(dentate gyrus granule cells) points 1–6, DG (dentate gyrus) 7–8 and 25–26, CA4 9, CA3P (CA3 pyramidal cells) 10–14, CA2P (CA2
pyramidal cells) 15–16, CA1P (CA1 pyramidal cells) 17–18, SL-M (stratum lacunosum-moleculare) 19–22, MFP (mossy fibre pathway)
23–24, and F (fimbria hippocampus) 27–28. No significant difference in oxygen level between hippocampal regions was found
(p ¼ 0.44). (c) Signalling related energy expenditure is negligible in a resting slice. Specific blockers of postsynaptic currents (and thus
postsynaptic action potentials, 10 mM NBQX þ 50 mM D-AP5, n ¼ nine slices, N ¼ four animals), presynaptic transmitter release and
postsynaptic events (250 mM cadmium, n ¼ 6, N ¼ 2) or action potentials and synaptic events (1 mM TTX, n ¼ 9, N ¼ 9) were applied
to different slices. Changes in oxygen level between the start of drug application and 15 min later were measured in those blockers and
in a no-drug baseline condition (n ¼ 9, N ¼ 9). No blocker changed oxygen levels relative to control (p¼0.26). (
)
the [O2] is lower than in the reservoir bubbled with 100% O2 (see (d)), as oxygen is lost to the air above the reservoir and through the
perfusion tube walls (see Results). (d) Oxygen sensor calibration. Three bottles of distilled water were heated up to 37C and bubbled
for at least 15 min with 0%, 20%, and 95% oxygen. The electrode was then inserted into the three solutions consecutively for a few
seconds until a stable reading was obtained. Statistics The points were binned into nine distinct areas,
colour-coded in (b). During the experiments reported subsequently in the paper, the electrode was placed in the CA1 region and
advanced down through the slice into the stratum lacunosum-moleculare. (b) Mean ( s.e.m.) of oxygen concentration binned into
the hippocampal regions shown in (a), n ¼ nine slices, N ¼ three animals. The following area measurements were binned: DGG
(dentate gyrus granule cells) points 1–6, DG (dentate gyrus) 7–8 and 25–26, CA4 9, CA3P (CA3 pyramidal cells) 10–14, CA2P (CA2
pyramidal cells) 15–16, CA1P (CA1 pyramidal cells) 17–18, SL-M (stratum lacunosum-moleculare) 19–22, MFP (mossy fibre pathway)
23–24, and F (fimbria hippocampus) 27–28. No significant difference in oxygen level between hippocampal regions was found
(p ¼ 0.44). (c) Signalling related energy expenditure is negligible in a resting slice. Specific blockers of postsynaptic currents (and thus
postsynaptic action potentials, 10 mM NBQX þ 50 mM D-AP5, n ¼ nine slices, N ¼ four animals), presynaptic transmitter release and
postsynaptic events (250 mM cadmium, n ¼ 6, N ¼ 2) or action potentials and synaptic events (1 mM TTX, n ¼ 9, N ¼ 9) were applied
to different slices. Changes in oxygen level between the start of drug application and 15 min later were measured in those blockers and
in a no-drug baseline condition (n ¼ 9, N ¼ 9). No blocker changed oxygen levels relative to control (p¼0.26). [Oxygen] change (µM)
(b)
(a)
(c)
1
2
3
4
granule cells
6 5
25
26
dentate
gyrus
7
8
9 CA4
10
11
12
13
14
CA3 pyramidal cells
15
16
CA2
pyr. cells
17
18
CA1 pyramidal cells
22
23
24
27
19
20
21
str. lac.-mol. mossy
fibres
28
fimbria
[Oxygen] (mM)
DGG
DG
CA4
CA3P
CA2P
CA1P
SL-M
MFP
F
p=0.44
NBQX
+ D-AP5
TTX
Cadmium
Baseline
50
0
-100
-50
100
p=0.26
0.3
0.4
0.2
0
0.1 (b)
[Oxygen] (mM)
DGG
DG
CA4
CA3P
CA2P
CA1P
SL-M
MFP
F
p=0.44
0.3
0.4
0.2
0
0.1 (b)
a)
1
2
3
4
granule cells
6 5
25
26
dentate
gyrus
7
8
9 CA4
10
11
12
13
14
CA3 pyramidal cells
15
16
CA2
pyr. cells
17
18
CA1 pyramidal cells
22
23
24
27
19
20
21
str. lac.-mol. Statistics Those readings were plotted against the dissolved oxygen concentrations corresponding
to the different percentage saturation values for oxygen in water at 37C, which were obtained from Henry’s law as 0, 208, and
991 mM, respectively.50 Using the slope and intercept from the linear fit through these three points, a linear conversion to mM was then
applied to the raw electrode output. (e) Oxygen measurements were taken at the end point of each depth step (blue dots). Measurements were fitted (see Materials and methods and Supplementary methods) with a modified diffusion equation (equation (1))
from the top of the unstirred layer to give Vmax, the maximum rate of oxidative phosphorylation at saturating [O2]. (f) The width of the
unstirred layer was determined by moving the oxygen electrode upwards from the slice surface and calculating the break point of the
[O2] profile between the unstirred layer and the bulk solution above it (see Supplementary Methods). Measurements were fitted (see Materials and methods and Supplementary methods) with a modified diffusion equation (equation (1))
from the top of the unstirred layer to give Vmax, the maximum rate of oxidative phosphorylation at saturating [O2]. (f) The width of the
unstirred layer was determined by moving the oxygen electrode upwards from the slice surface and calculating the break point of the
[O2] profile between the unstirred layer and the bulk solution above it (see Supplementary Methods). Journal of Cerebral Blood Flow & Metabolism 37(3) 956 Antimycin
25 µM
0.1 mM
oxygen
5 min
Nocodazole
25 µM
Cytochalasin D
10 µM
(a)
(b)
(c)
(d)
(e)
(f)
Glutamate
Glutamate
Anisomycin
20 µM
TOFA + Anisomycin
60 µM + 20 µM
Glutamate
Glutamate
Ouabain
1 mM
Glutamate
Blocker application
Depth profile
Figure 3. Sample traces for blockers of energy-consuming processes. Traces show oxygen levels on the slice surface interspersed
with [O2] depth profiles (light blue bars). Oxygen levels rise when less oxygen is being consumed and fall when more oxygen is
consumed (the grey dotted line is placed at the initial [O2] level at the slice surface for easier comparison). After 10 min of baseline
(here only 5 min is shown before drug onset), the specific blocker of a non-signalling process was bath-perfused onto the slice (black
bar), followed by 10–15 min of recovery and wash-in of 1 mM glutamate (open bar). Blocker application times are given in the
Supplementary Methods. Baseline hippocampal oxygen levels
are uniform in hippocampal slices Baseline hippocampal oxygen levels
are uniform in hippocampal slices The hippocampus comprises different functional areas
which might have different baseline energy uses. The
oxygen electrode moved laterally through the slice
when lowered along its axis so, although it mostly
remained in the CA1 region, we investigated whether
regional differences in baseline [O2] might affect our
results. We tested this by measuring the oxygen level
at the slice surface at 28 points across 9 hippocampal
regions (Figure 2(a) and (b)). No significant difference Statistics (a) antimycin stops all oxidative phosphorylation: near the end of the trace the variation of [O2] with depth is
abolished, (b) cytochalasin D blocks actin treadmilling, (c) nocodazole inhibits microtubule turnover, (d), TOFA arrests lipid synthesis,
(e) anisomycin blocks protein synthesis and (f) ouabain inhibits the sodium–potassium ATPase (no calcium in the external solution). (d)
(e)
(f)
Anisomycin
20 µM
TOFA + Anisomycin
60 µM + 20 µM
Glutamate
Glutamate
Ouabain
1 mM
Glutamate
Blocker application
Depth profile Antimycin
25 µM
0.1 mM
oxygen
5 min
Nocodazole
25 µM
Cytochalasin D
10 µM
(a)
(b)
(c)
Glutamate
Glutamate Cytochalasin D (b) Glutamate Glutamate Glutamate Figure 3. Sample traces for blockers of energy-consuming processes. Traces show oxygen levels on the slice surface interspersed
with [O2] depth profiles (light blue bars). Oxygen levels rise when less oxygen is being consumed and fall when more oxygen is
consumed (the grey dotted line is placed at the initial [O2] level at the slice surface for easier comparison). After 10 min of baseline
(here only 5 min is shown before drug onset), the specific blocker of a non-signalling process was bath-perfused onto the slice (black
bar), followed by 10–15 min of recovery and wash-in of 1 mM glutamate (open bar). Blocker application times are given in the
Supplementary Methods. (a) antimycin stops all oxidative phosphorylation: near the end of the trace the variation of [O2] with depth is
abolished, (b) cytochalasin D blocks actin treadmilling, (c) nocodazole inhibits microtubule turnover, (d), TOFA arrests lipid synthesis,
(e) anisomycin blocks protein synthesis and (f) ouabain inhibits the sodium–potassium ATPase (no calcium in the external solution). in [O2] across regions was detected (F(8,72)¼0.44,
p ¼ 0.89, n ¼ nine slices), suggesting no significant dif-
ference in O2 use between hippocampal areas. This
implies that moving the oxygen electrode across the
slice during the process of lowering it into the slice
would not have an effect on the measured [O2]. No O2 use associated with spontaneous
activity can be detected in brain slices p=0.63
p=9.1x10-9
p=3.9x10-12
Position above and in slice (µm), 0 = slice surface
Oxygen (mM)
Slice
Position above and in slice (µm), 0 = slice surface
p=0.29
p=2.9x10-8
p=2.6x10-7
Oxygen (mM)
Slice
(b)
(a)
Cytochalasin D
Baseline
Recovery
Glutamate
Nocodazole
Baseline
Recovery
Glutamate
0.3
0.4
0.5
0.6
0.2
0
0.1
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100
-300
-200
-100
0
200
100 p=0.63
=9.1x10-9
p=3.9x10-12
Position above and in slice (µm), 0 = slice surface
p=0.29
p=2.9x10-8
p=2.6x10-7
Oxygen (mM)
Slice
(b)
Nocodazole
Baseline
Recovery
Glutamate
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100 p=0.63
p=9.1x10-9
p=3.9x10-12
Position above and in slice (µm), 0 = slice surface
Oxygen (mM)
Slice
(b)
(a)
Cytochalasin D
Baseline
Recovery
Glutamate
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100 Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
Baseline
Recovery
p=0.005
p=0.41
p=0.007
(c)
Cytochal. D
Glutamate
0.5
0
1
1.5
2
2.5
3 Baseline
Recovery
p=0.002
p=0.09
p=0.005
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
(d)
Nocodazole
Glutamate
0.5
0
1
1.5
2
2.5
3 skeleton treadmilling accounts for about a quarter of resting energy use, and microtubule turnover uses a
b
i ’
( ) (b) A
i
( M
) d
h
fil
f
h
di i Figure 4. Actin cytoskeleton treadmilling accounts for about a quarter of resting energy use, and microtubule turnover uses a
similar fraction of the brain’s energy. (a), (b) Average oxygen concentration (mM s.e.m.) depth profiles for each condition
(black ¼ baseline, red ¼ 10 mM cytochalasin D in (a) and 25 mM nocodazole in (b), green ¼ recovery, blue ¼ 1 mM glutamate), for block
of actin ((a), n ¼ eight slices, N ¼ six animals) and microtubule ((b), n ¼ 8, N ¼ 4) turnover. Data were fitted with equation (1) from the
surface to the bottom of the slice, and with equation (1) but without the oxygen consumption term across the unstirred layer to the
slice surface. The fit gives Vmax, the maximum rate of oxygen use. (c), (d) Averaged Vmax s.e.m. (red dots) and individual Vmax values
(black dots, normalised to baseline Vmax (¼1)) for block of actin ((c), n ¼ 8) and microtubule ((d), n ¼ 8) turnover. No O2 use associated with spontaneous
activity can be detected in brain slices The average
fractional rate of energy consumption relative to baseline was calculated from the average of individual fits as being 75% during actin
treadmilling inhibition and 78% during microtubule turnover block. is less in brain slices than in the brain, because
long-range connections are disrupted by the slicing. We investigated oxygen use evoked by spontaneous
electrical activity by blocking either postsynaptic cur-
rents (using 10 mM NBQX þ 50 mM D-AP5, n ¼ nine
slices), presynaptic transmitter release and postsynaptic
events (using 250 mM cadmium, n ¼ six slices), or action
potentials and synaptic events (using 1 mM TTX,
n ¼ nine slices). None of these manipulations signifi-
cantly changed the oxygen level at the slice surface
(F(3,29)¼1.4, p ¼ 0.26, Figure 2(c)), suggesting that
ongoing electrical activity in the slice is too weak to
be detected from its O2 consumption. The absence of
spontaneous
signalling
activity
facilitated
selective
measurement of the O2 use of non-signalling processes,
but also implies that the percentage of O2 use that we
measure for non-signalling tasks (below) would be a
smaller percentage of total brain O2 consumption in
vivo, where synaptic and action potentials consume
more energy (see Discussion). is less in brain slices than in the brain, because
long-range connections are disrupted by the slicing. We investigated oxygen use evoked by spontaneous
electrical activity by blocking either postsynaptic cur-
rents (using 10 mM NBQX þ 50 mM D-AP5, n ¼ nine
slices), presynaptic transmitter release and postsynaptic
events (using 250 mM cadmium, n ¼ six slices), or action
potentials and synaptic events (using 1 mM TTX,
n ¼ nine slices). None of these manipulations signifi-
cantly changed the oxygen level at the slice surface
(F(3,29)¼1.4, p ¼ 0.26, Figure 2(c)), suggesting that
ongoing electrical activity in the slice is too weak to
be detected from its O2 consumption. The absence of
spontaneous
signalling
activity
facilitated
selective
measurement of the O2 use of non-signalling processes,
but also implies that the percentage of O2 use that we
measure for non-signalling tasks (below) would be a
smaller percentage of total brain O2 consumption in
vivo, where synaptic and action potentials consume
more energy (see Discussion). No O2 use associated with spontaneous
activity can be detected in brain slices Most brain energy is used on synaptic and action
potentials,1 and this can be detected as changes of
[O2] level in response to electrical stimulation in hippo-
campal slices.51 However, endogenous synaptic activity 957 Engl et al. p=0.63
p=9.1x10-9
p=3.9x10-12
Position above and in slice (µm), 0 = slice surface
Oxygen (mM)
Slice
Baseline
Recovery
p=0.002
p=0.09
p=0.005
Position above and in slice (µm), 0 = slice surface
p=0.29
p=2.9x10-8
p=2.6x10-7
Oxygen (mM)
Slice
(b)
(a)
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
Baseline
Recovery
p=0.005
p=0.41
p=0.007
(d)
(c)
Nocodazole
Glutamate
Cytochal. D
Glutamate
Cytochalasin D
Baseline
Recovery
Glutamate
Nocodazole
Baseline
Recovery
Glutamate
0.3
0.4
0.5
0.6
0.2
0
0.1
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100
-300
-200
-100
0
200
100
0.5
0
1
1.5
2
2.5
3
0.5
0
1
1.5
2
2.5
3
Figure 4. Actin cytoskeleton treadmilling accounts for about a quarter of resting energy use, and microtubule turnover uses a
similar fraction of the brain’s energy. (a), (b) Average oxygen concentration (mM s.e.m.) depth profiles for each condition
(black ¼ baseline, red ¼ 10 mM cytochalasin D in (a) and 25 mM nocodazole in (b), green ¼ recovery, blue ¼ 1 mM glutamate), for block
of actin ((a), n ¼ eight slices, N ¼ six animals) and microtubule ((b), n ¼ 8, N ¼ 4) turnover. Data were fitted with equation (1) from the
surface to the bottom of the slice, and with equation (1) but without the oxygen consumption term across the unstirred layer to the
slice surface. The fit gives Vmax, the maximum rate of oxygen use. (c), (d) Averaged Vmax s.e.m. (red dots) and individual Vmax values
(black dots, normalised to baseline Vmax (¼1)) for block of actin ((c), n ¼ 8) and microtubule ((d), n ¼ 8) turnover. The average
fractional rate of energy consumption relative to baseline was calculated from the average of individual fits as being 75% during actin
treadmilling inhibition and 78% during microtubule turnover block. Unstirred layer parameters In the following experiments, we fit measurements of O2
concentration throughout the slice and the unstirred layer
above the slice to obtain a value for the rate of oxygen
consumption in the slice. We incorporated the value of
[O2] at the top of the unstirred layer (which corresponds
to the oxygen level in the bulk solution) in order to more
accurately estimate changes in O2 consumption in the slice
from changes in the O2 depth profiles (see Materials and
Methods and Supplementary Methods). The unstirred
layer width averaged across the cytochalasin D, nocoda-
zole, ouabain, and anisomycin conditions in 17 slices was
235 10mm, and the [O2] in the bulk solution at the top
of the unstirred layer was 0.57 0.05mM (less than the
1.04mM in the solution reservoir bubbled with 100% O2
due to O2 loss to the air above the reservoir and through
the perfusion tube walls). Neither the width of the
unstirred layer nor the [O2] at the top of the unstirred
layer differed significantly between these conditions Journal of Cerebral Blood Flow & Metabolism 37(3) 958 Position above and in slice (µm), 0 = slice surface
Baseline
TOFA +
anisomycin
Recovery
Glutamate
p=0.04
p=0.54
p=0.02
Baseline Anisomycin
Recovery Glutamate
(b)
(a)
(d)
(c)
p=0.33
p=0.30
p=0.02
Slice
p=2.1x10-7
p=0.85
p=0.67
Anisomycin
Baseline
Recovery
Glutamate
Oxygen (mM)
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
0.5
0
1
1.5
2
2.5
3
Slice
Position above and in slice (µm), 0 = slice surface
p=4.4x10-16
p=0.15
p=7.1x10-5
TOFA + anisomycin
Baseline
Recovery
Glutamate
Oxygen (mM)
0.3
0.4
0.5
0.6
0.2
0
0.1
-200
-100
0
100
200
0.7
0.8
0.9
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
0.5
0
1
1.5
2
2.5
3
Figure 5. Lipid and protein synthesis together account for about 18% of O2 use, but O2 use on protein synthesis alone is too small
to be measured. (a), (b) Average oxygen concentration s.e.m. across depth profiles per condition (black ¼ baseline, red ¼ 60 mM
TOFA þ 20 mM anisomycin in (a) or 20 mM anisomycin in (b), green ¼ recovery, blue ¼ 1 mM glutamate) for block of lipid and protein
synthesis ((a), n ¼ five slices, N ¼ two animals) and protein synthesis alone ((b), n ¼ 4, N ¼ 4). Unstirred layer parameters (c), (d) Average Vmax s.e.m. (red dots)
and individual Vmax (black dots, normalised to baseline Vmax (¼1)) for block of lipid and protein synthesis ((a), n ¼ 5) and protein
synthesis alone ((b), n ¼ 4). The average energy consumption was 82% of the control value when lipid and protein synthesis were
blocked. No change could be detected when protein synthesis alone was inhibited. Position above and in slice (µm), 0 = slice surface
(b)
Slice
p=2.1x10-7
p=0.85
p=0.67
Anisomycin
Baseline
Recovery
Glutamate
Oxygen (mM)
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100
-16
-5 (a)
Slice
Position above and in slice (µm), 0 = slice surface
p=4.4x1
p=0.15
p=7.1x1
TOFA + anisomycin
Baseline
Recovery
Glutamate
Oxygen (mM)
0.3
0.4
0.5
0.6
0.2
0
0.1
-200
-100
0
100
200
0.7
0.8
0.9 (a) (c) Baseline Anisomycin
Recovery Glutamate
(d)
p=0.33
p=0.30
p=0.02
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
0.5
0
1
1.5
2
2.5
3 Baseline
TOFA +
anisomycin
Recovery
Glutamate
p=0.04
p=0.54
p=0.02
(c)
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
0.5
0
1
1.5
2
2.5
3 Figure 5. Lipid and protein synthesis together account for about 18% of O2 use, but O2 use on protein synthesis alone is too small
to be measured. (a), (b) Average oxygen concentration s.e.m. across depth profiles per condition (black ¼ baseline, red ¼ 60 mM
TOFA þ 20 mM anisomycin in (a) or 20 mM anisomycin in (b), green ¼ recovery, blue ¼ 1 mM glutamate) for block of lipid and protein
synthesis ((a), n ¼ five slices, N ¼ two animals) and protein synthesis alone ((b), n ¼ 4, N ¼ 4). (c), (d) Average Vmax s.e.m. (red dots)
and individual Vmax (black dots, normalised to baseline Vmax (¼1)) for block of lipid and protein synthesis ((a), n ¼ 5) and protein
synthesis alone ((b), n ¼ 4). The average energy consumption was 82% of the control value when lipid and protein synthesis were
blocked. No change could be detected when protein synthesis alone was inhibited. (F(3,13)¼2.8, p¼ 0.08 and F(3,13)¼2.2, p¼ 0.13, respect-
ively, n¼ 17 slices). (F(3,13)¼2.8, p¼ 0.08 and F(3,13)¼2.2, p¼ 0.13, respect-
ively, n¼ 17 slices). Blocking all oxidative phosphorylation raises the [O2]
to the bulk solution level For experiments containing albumin as a carrier pro-
tein for the lipid synthesis blocker TOFA, the unstirred
layer
parameters
were
significantly
different. The
unstirred layer width in four slices was 165 21 mm,
and the [O2] at the top of the unstirred layer was
0.86 0.45 mM. In the bulk solution outside the
unstirred layer (unaffected by the slice’s oxygen con-
sumption), the [O2] above 17 slices superfused with
solution not containing albumin was 0.59 0.04 mM,
but was 0.92 0.02 mM when external solutions con-
taining albumin were used. Therefore, the raised base-
line [O2] in experiments using solutions containing
albumin (described below) is an effect of a greater sat-
uration of the bulk solution with oxygen, which may
come about because the albumin foam formed on the
surface of solution bubbled with gas impedes the loss of
the bubbled O2 to the air above. In order to confirm that our method of measuring [O2]
in a brain slice with an oxygen electrode does indeed
reflect changes in cellular respiration, we verified that
blocking all oxidative phosphorylation in a brain slice
elevated [O2] at the slice surface to bulk solution levels. Application of 25 mM antimycin, a respiratory chain
inhibitor, increased the oxygen concentration at the
slice surface within one to two minutes of application. After 15 min, the oxygen concentration at the surface of
the slice (0.60 0.02 mM) was not significantly different
from that in the bulk solution of the bath (which in
these
experiments
was
0.66 0.01 mM,
t(3)¼1.88,
p ¼ 0.16, n ¼ slices slices) and was much larger than
the
surface
oxygen
level
before
drug
application
(0.24 0.06 mM). Consistent with this, the variation
of [O2] with depth was abolished within minutes when 959 Engl et al. p=3x10-4
Slice
Position above and in slice (µm), 0 = slice surface
p=2.7x10-12
Slice
Position above and in slice (µm), 0 = slice surface
p=0.35
(a)
(b)
(d)
(c)
Ouabain
(no ext. calcium)
Baseline
Baseline
p=0.23
Ouabain
(+ ext. calcium)
Ouabain
(+ ext. calcium)
Baseline
Ouabain
(no ext. Blocking all oxidative phosphorylation raises the [O2]
to the bulk solution level calcium)
Baseline
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
0.5
0
1
1.5
2
2.5
3 (d) Figure 6. Block of the sodium–potassium ATPase nearly halves oxygen use in the absence of external calcium. (a), (b) Averaged
oxygen concentration s.e.m. across depth profiles per condition (black ¼ baseline, red ¼ 1 mM ouabain) for inhibition of the
sodium–potassium pump in the absence ((a), n ¼ seven slices, N ¼ two animals) and presence ((b), n ¼ 4, N ¼ 4) of external calcium. Slices did not recover after ouabain application and did not react to glutamate (data not shown). (c), (d) Averaged Vmax s.e.m. (red
dots) and individual Vmax values (black dots, normalised to baseline Vmax (¼1)) for inhibition of the sodium–potassium pump in the
absence ((c), n ¼ 7) and presence ((d), n ¼ 4) of external calcium. In ouabain, the average energy consumption was 50% of the control
value in the absence of external calcium, an effect masked by the presence of calcium (see Results and Discussion). modified diffusion equation (see Materials and methods
and Supplementary methods). These rates of oxygen
consumption are quantified in Figures 4 to 6. oxygen consumption throughout the whole slice ceased
(Figure 3(a)). Blocking all oxidative phosphorylation raises the [O2]
to the bulk solution level calcium)
Baseline
Oxygen (mM)
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100
Oxygen (mM)
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
0.5
0
1
1.5
2
2.5
3
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
0.5
0
1
1.5
2
2.5
3
Figure 6. Block of the sodium–potassium ATPase nearly halves oxygen use in the absence of external calcium. (a), (b) Averaged
oxygen concentration s.e.m. across depth profiles per condition (black ¼ baseline, red ¼ 1 mM ouabain) for inhibition of the
sodium–potassium pump in the absence ((a), n ¼ seven slices, N ¼ two animals) and presence ((b), n ¼ 4, N ¼ 4) of external calcium. Slices did not recover after ouabain application and did not react to glutamate (data not shown). (c), (d) Averaged Vmax s.e.m. (red
dots) and individual Vmax values (black dots, normalised to baseline Vmax (¼1)) for inhibition of the sodium–potassium pump in the
absence ((c), n ¼ 7) and presence ((d), n ¼ 4) of external calcium. In ouabain, the average energy consumption was 50% of the control
value in the absence of external calcium, an effect masked by the presence of calcium (see Results and Discussion). Slice
Position above and in slice (µm), 0 = slice surface
p=2.7x10-12
Slice
Position above and in slice (µm), 0 = slice surface
p=0.35
(a)
(b)
Ouabain
(+ ext. calcium)
Baseline
Ouabain
(no ext. calcium)
Baseline
Oxygen (mM)
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100
Oxygen (mM)
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100 Position above and in slice (µm), 0 = slice surface
p=2.7x10-12
Slice
(a)
(b)
Ouabain
(no ext. calcium)
Baseline
Oxygen (mM)
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100
Oxygen (mM) Slice
-12
Position above and in slice (µm), 0 = slice surface
p=0.35
b)
Ouabain
(+ ext. calcium)
Baseline
Oxygen (mM)
0.3
0.4
0.5
0.6
0.2
0
0.1
-300
-200
-100
0
200
100 (c) (d)
Baseline
p=0.23
Ouabain
(+ ext. calcium)
Rate of oxygen use (Vmax, mM/min)
normalised to Baseline
0.5
0
1
1.5
2
2.5
3 p=3x10-4
(c)
Ouabain
(no ext. Blocking actin or microtubule cycling
reduces oxygen consumption Microtubule turnover also con-
tributes to resting brain slice oxygen use, as applying
nocodazole (Figure 3(c)) raised the oxygen level at the
slice surface from 0.28 0.02 mM to 0.36 0.03 mM. This recovered to 0.30 0.03 mM on removing the
nocodazole (Figure 4(b)), while glutamate lowered the
surface oxygen level to 0.22 0.02 mM (n ¼ 8). A two-
way repeated measures ANOVA again showed a main
effect of condition on oxygen level across all depths in
the slice (F(3,21)¼37.8, p ¼ 1.2 108, n ¼ eight slices). Oxygen levels across depth in nocodazole differed sig-
nificantly
from
baseline
(Figure
4(b),
t(21)¼8.03,
p ¼ 2.9 108) and the surface oxygen level after recov-
ery from nocodazole application was indistinguishable ( ( )
p
)
We then modelled the rate of oxygen consumption
through the slice. After the [O2] depth profiles were fit
(Figure 4(a)) with the modified diffusion equation
(equation (1)) incorporating the unstirred layer, the
resulting values of Vmax, the maximum rate of oxidative
phosphorylation at saturating [O2], were normalised to
the initial control value for each slice. On average, the
Vmax in cytochalasin D was 0.75 0.05 of that in the
initial control condition (Figure 4(c), t(7)¼4.8, p ¼
0.005, n ¼ eight slices). On removing cytochalasin D,
Vmax recovered to 1.03 0.04 of the initial control
value (t(7)¼0.88, p ¼ 0.41). In glutamate, the average
Vmax rose to 1.70 0.1 of the initial control value
(Figure 4(c), t(7)¼4.29, p ¼ 0.007, n ¼ eight slices). These results suggest that a significant fraction of the
slice’s resting energy budget, 25%, is spent on actin
cycling. Two-photon imaging of ongoing microglial
motility before and after the application of cytochalasin
D confirmed that the drug rapidly and effectively inhib-
ited microglial movement and therefore actin cycling
(Supplementary Figure 1(c), n ¼ 15 cells from five slices). Since excitatory synaptic currents are thought to con-
sume most ATP in the brain,9 we were concerned that our
estimates of the energy use on cytoskeletal recycling could
be confounded if the drugs used affected the frequency of
excitatory synaptic currents (see Supplementary Figure 1(a)
and (b)). We therefore whole-cell patch-clamped area CA1
pyramidal cells and monitored spontaneous EPSCs while
applying
either
cytochalasin
D
or
nocodazole
(see
Supplementary
Methods). The energy used on lipid and protein synthesis We next investigated the contributions of phospholipid
and protein synthesis to the slice’s energy expenditure. Previous estimates of the energy consumption of protein
synthesis are unanimously very low, at 2% of the total
energy budget,1,14,29 but vary between 2% and 25% for
lipid metabolism.14,30,31,57 We first applied blockers of
both phospholipid synthesis (60mm TOFA) and protein
synthesis (20 mM anisomycin) together. In the experi-
ments containing TOFA, serum albumin had to be pre-
sent in the external solutions to prevent precipitation of
the drug. Albumin increased the concentration of
oxygen in the solutions (see above), which altered
oxygen levels at the slice surface (F(2,16)¼12.74, p ¼
0.006, n ¼ four slices). Application of 0.5% albumin
(together with 0.55% DMSO) reversibly raised the
oxygen level at the surface of the resting slice from We next investigated the contributions of phospholipid
and protein synthesis to the slice’s energy expenditure. Previous estimates of the energy consumption of protein
synthesis are unanimously very low, at 2% of the total
energy budget,1,14,29 but vary between 2% and 25% for
lipid metabolism.14,30,31,57 We first applied blockers of In order to inhibit microtubule turnover, 25 mM
nocodazole, a microtubule-depolymerising agent was
perfused onto the slice. Microtubule turnover also con-
tributes to resting brain slice oxygen use, as applying
nocodazole (Figure 3(c)) raised the oxygen level at the
slice surface from 0.28 0.02 mM to 0.36 0.03 mM. This recovered to 0.30 0.03 mM on removing the
nocodazole (Figure 4(b)), while glutamate lowered the
surface oxygen level to 0.22 0.02 mM (n ¼ 8). A two-
way repeated measures ANOVA again showed a main
effect of condition on oxygen level across all depths in
the slice (F(3,21)¼37.8, p ¼ 1.2 108, n ¼ eight slices). Oxygen levels across depth in nocodazole differed sig-
nificantly
from
baseline
(Figure
4(b),
t(21)¼8.03,
p ¼ 2.9 108) and the surface oxygen level after recov-
ery from nocodazole application was indistinguishable both phospholipid synthesis (60mm TOFA) and protein
synthesis (20 mM anisomycin) together. In the experi-
ments containing TOFA, serum albumin had to be pre-
sent in the external solutions to prevent precipitation of
the drug. Albumin increased the concentration of
oxygen in the solutions (see above), which altered
oxygen levels at the slice surface (F(2,16)¼12.74, p ¼
0.006, n ¼ four slices). Blocking actin or microtubule cycling
reduces oxygen consumption Neither
drug
significantly
altered the number of EPSCs occurring during the last
6min in each condition (F(2,14)¼1.69, p¼ 0.23 for cyto-
chalasin D and F(2,8)¼0.56, p¼ 0.59 for nocodazole, both
n¼ eight slices). Blocking actin or microtubule cycling
reduces oxygen consumption Similarly, glutam-
ate application significantly lowered [O2] relative to the
control condition (t(21) ¼ 7.28, p ¼ 2.6 107, n ¼ eight
slices). As in the previous experiment, these data were used
to model oxygen consumption through the slice. When
microtubule turnover was blocked with nocodazole
(Figure 4(d)), the Vmax derived from the [O2] depth
profiles was reduced to 0.78 0.04 (t(7) ¼ 5.6, p ¼
0.002, n ¼ eight slices) of the control value, and recov-
ered to 0.96 0.03 of the control value on removing
nocodazole (t(7) ¼ 1.9, p ¼ 0.09). In glutamate, Vmax
increased to 1.48 0.10 of the baseline value (t(7)¼4.6,
p ¼ 0.005,
n ¼ eight
slices). Surprisingly,
therefore,
microtubule turnover also accounts for a substantial
22% of the slice’s baseline oxygen use. After the slices
recovered from either actin or microtubule turnover
inhibition, activating glutamate receptors throughout
the
slice
by
superfusing
glutamate
increased
the
energy use by 50–70%. The magnitude of the Vmax
change after glutamate application was not significantly
different in the cytochalasin D versus the nocodazole
condition (t(14) ¼ 0.4, p ¼ 0.67). 0.28 0.02mM (t(6)¼5.56, p ¼ 0.004) in three slices. We then modelled the rate of oxygen consumption
through the slice. After the [O2] depth profiles were fit
(Figure 4(a)) with the modified diffusion equation
(equation (1)) incorporating the unstirred layer, the
resulting values of Vmax, the maximum rate of oxidative
phosphorylation at saturating [O2], were normalised to
the initial control value for each slice. On average, the
Vmax in cytochalasin D was 0.75 0.05 of that in the
initial control condition (Figure 4(c), t(7)¼4.8, p ¼
0.005, n ¼ eight slices). On removing cytochalasin D,
Vmax recovered to 1.03 0.04 of the initial control
value (t(7)¼0.88, p ¼ 0.41). In glutamate, the average
Vmax rose to 1.70 0.1 of the initial control value
(Figure 4(c), t(7)¼4.29, p ¼ 0.007, n ¼ eight slices). These results suggest that a significant fraction of the
slice’s resting energy budget, 25%, is spent on actin
cycling. Two-photon imaging of ongoing microglial
motility before and after the application of cytochalasin
D confirmed that the drug rapidly and effectively inhib-
ited microglial movement and therefore actin cycling
(Supplementary Figure 1(c), n ¼ 15 cells from five slices). In order to inhibit microtubule turnover, 25 mM
nocodazole, a microtubule-depolymerising agent was
perfused onto the slice. Blocking actin or microtubule cycling
reduces oxygen consumption Figure 3(b) to (e) shows sample traces for oxygen level
changes at the slice surface for each non-signalling pro-
cess that was blocked and the recovery of the oxygen
level after the blocker was removed, while Figure 3(e)
shows oxygen level changes after block of the sodium
pump. At the end of each experiment, to check the
health of the slice, 1 mM glutamate was applied to acti-
vate a cation influx through ionotropic receptors and
thus increase oxygen consumption. For all drugs, oxygen
level was measured as a function of depth in the slice,
and these depth profiles were used to calculate the rate of
oxygen consumption through the slice, by solving a To investigate the effect on energy consumption of
blocking actin treadmilling, 10mM cytochalasin D was
applied to the slice to arrest actin polymerisation. At the
end of the cytochalasin D application (Figure 3(b)), the
oxygen level at the slice surface was elevated from
0.33 0.02mM to 0.43 0.02mM (n ¼ 8), suggesting
that some slice oxygen consumption is due to actin
treadmilling. On removing cytochalasin D, the oxygen
level
recovered
to
0.32 0.02mM
(Figure
4(a)). Subsequently, applying glutamate lowered the surface
oxygen
level
to
0.23 0.02mM,
reflecting
oxygen Journal of Cerebral Blood Flow & Metabolism 37(3) 960 7(3) from baseline (t(21)¼1.59, p ¼ 0.29). Similarly, glutam-
ate application significantly lowered [O2] relative to the
control condition (t(21) ¼ 7.28, p ¼ 2.6 107, n ¼ eight
slices). consumption to fuel synaptic depolarisation. A two-way
repeated measures ANOVA for treatment (baseline,
cytochalasin D, recovery, glutamate) and position in
the slice (surface, 50mm, 100 mm, 150 mm) showed
a main effect of condition on oxygen level across all
depths used in the depth profile (F(3,21)¼33.9, p ¼
2.1 108, n ¼ eight slices). With Dunnett’s post-hoc
test, the oxygen levels in cytochalasin differed signifi-
cantly from control (t(21)¼8.42, p ¼ 9.1 109), and
there was no difference in the oxygen levels between
the
baseline
and
recovery
conditions
(t(21)¼1.01,
p ¼ 0.63). Glutamate application also significantly chan-
ged the oxygen levels relative to baseline (t(21)¼10.81,
p ¼ 3.9 1012, n ¼ eight slices). Similarly, when 1 mM
jasplakinolide, another actin cycling blocker that can,
however, also promote polymerization,38 was applied,
the surface oxygen level rose from 0.23 0.03mM to
0.28 0.02mM (t(6)¼5.56, p ¼ 0.004) in three slices. from baseline (t(21)¼1.59, p ¼ 0.29). Without external calcium, the Naþ/Kþ pump
accounts for 50% of energy use Most brain ATP use is thought to be on the pumping
out of ions that enter neurons to generate synaptic or
action potentials, or that enter at the resting potential.9
This pumping is mainly carried out by the sodium
pump. To examine the fraction of energy expended
on sodium pumping in brain slices, we applied the
pump blocker ouabain (1 mM). These experiments
were performed both in the presence and absence of
external
calcium,
because
blocking
the
pump
is
expected to lead indirectly to a rise of [Ca2þ]i which
can increase energy consumption (see Discussion). For example, while Shibuki58 found that ouabain
decreased oxygen consumption in unstimulated neuro-
hypophysis slices whether or not calcium was present,
Rusˇ cˇ a´ k and Whittam59 found that blocking the Naþ/
Kþ pump only decreased O2 consumption in cortical
slices when using Ca2þ-free external solutions, and
instead found an increase in O2 consumption when
the external solution contained Ca2þ. Because of
these varying results, we measured the effect of blocking
the sodium pump on the [O2] profile both in the pres-
ence and absence of external calcium. (
)
p
)
After lipid and protein synthesis were blocked using
60 mM TOFA and 20 mM anisomycin (Figure 5(a)), the
oxygen level at the slice surface rose from 0.63
0.04 mM to 0.68 0.04 mM (t(12)¼6.2, p ¼ 7.0 105). On removal of the drugs, the [O2] recovered to
0.64 0.03 mM (t(12)¼2.06, p ¼ 0.14), and on applying
glutamate
it
fell
to
0.49 0.05 mM
(t(12)¼17.01,
p ¼ 4.4 1016). An overall two-way repeated measures
ANOVA showed a main effect of condition on oxygen
levels across depths (F(3,12)¼79.1, p ¼ 3.75 108,
n ¼ five slices). )
We then blocked protein synthesis alone with 20mM
anisomycin (Figure 5(b)) to isolate its contribution to the
slice’s oxygen consumption. There was no significant
change in oxygen level at the slice surface between base-
line (0.32 0.05mM), anisomycin (0.32 0.05mM, t(9)
¼0.66, p ¼ 0.85) and recovery (0.33 0.04mM, t(9)¼
0.96, p ¼ 0.67). However, [O2] again fell significantly
in
glutamate
to
0.23 0.04mM
(t(9)¼10.98,
p ¼
2.14 107). The energy used on lipid and protein synthesis Application of 0.5% albumin
(together with 0.55% DMSO) reversibly raised the
oxygen level at the surface of the resting slice from 961 Engl et al. 0.34 0.03mM
to
0.56 0.06mM
(t(6)¼10.1,
p ¼
0.8 105). The surface oxygen level recovered to
0.34 0.05mM after albumin was washed off(t(6)¼41,
p ¼ 0.88, n ¼ four slices). As albumin was added to all
solutions in the lipid synthesis block experiments, the
baseline oxygen level was uniformly raised throughout
these experiments. To test whether, by altering the
oxygen level in the superperfused solution, albumin
changed the oxygen consumption of the slice in control
conditions, we assessed the total oxygen consumption as
being proportional to the amount of O2 diffusing
through the unstirred layer towards the slice. This flux
is proportional to the difference between the oxygen level
at the top of the unstirred layer (a mean value for which
was averaged over all slices) and at the slice surface
(measured for each individual slice), divided by the
width of the unstirred layer (averaged over all slices). This parameter did not differ between experiments with-
out albumin in the external solution (1.22 0.07, n ¼ 31
slices) and those using external albumin (1.36 0.26,
n ¼ five slices, t(34) ¼ 0.7, p ¼ 0.49). (t(3)¼6.39, p ¼ 0.02). From the data above, it can there-
fore be estimated that lipid and protein synthesis
together require 18% of the brain’s resting O2 use. Lipid synthesis likely account for most of this figure,
as protein synthesis uses too little of the slice’s resting
energy to be detected with the oxygen electrode. Discussion Here, we have presented the first experimental data
obtained with a single method investigating the relative
contributions of the main non-signalling processes to
the brain’s energy budget. This was done by inhibiting
these processes in young rat hippocampal slices and
measuring changes in oxygen consumption with a
Clark-type oxygen sensor. Surprisingly, the actin and
microtubule cytoskeletons contribute almost equally to
a large (47%) fraction of the brain slice’s resting
energy budget (Figure 4). The O2 use on actin turnover
(25%) is considerably lower than previous sugges-
tions23 that half of the energy use was spent on actin
turnover alone, but is much higher than our previous
modelling suggested.24 Second, there is a limit to the resolution of oxygen
measurements
using
Clark-type
oxygen
sensors. Baseline recordings of brain oxygen levels show fluctu-
ations of 25 mM oxygen over 15 min (Figure 2(c),
baseline). The noise that this introduces, together with
block of the sodium–potassium pump being performed
in the absence of external calcium, could account
for the sum of the contributions of all processes exceed-
ing 100%. Lipid synthesis accounts for most of the remaining
non-signalling energy use (18% when blocked together
with protein synthesis), but blocking protein synthesis
did not detectably change energy use (Figure 5). These
results are consistent with previous estimates that protein
synthesis accounts for only 1.3% of the brain’s total
energy use.1,29 Purdon and Rapoport31,57 calculated that
up to 25% of the brain’s energy use might be spent on
phospholipid metabolism, although only 5% of the total
energy budget was estimated to be spent on the turnover
of fatty acids within phospholipids, with the rest allo-
cated to maintaining the phosphorylation state of
phospholipids (12%) and maintaining asymmetries in
the phospholipid bilayer (7.7%). g
How can our estimates of non-signalling energy use
in brain slices be extrapolated to the awake brain? Oxidative phosphorylation is lower in unstimulated
brain slices than in vivo, since there is little spontaneous
neuronal activity in slices (Figure 2(c)). Without external calcium, the Naþ/Kþ pump
accounts for 50% of energy use Without external calcium,
blocking the sodium pump therefore approximately
halved the resting slice’s energy use, whereas no signifi-
cant change in oxygen consumption could be detected
when ouabain was applied in the presence of external
calcium. baseline (0.85 0.10 of the control value, t(3) ¼ 1.5,
p ¼ 0.23, n ¼ four slices). Without external calcium,
blocking the sodium pump therefore approximately
halved the resting slice’s energy use, whereas no signifi-
cant change in oxygen consumption could be detected
when ouabain was applied in the presence of external
calcium. The contributions to O2 consumption of the sodium
pump (50%), cytoskeletal turnover (47%), and protein
and lipid synthesis (18%) that we have estimated sum
to slightly more than 100%. However, the sodium
pump contribution was calculated in the absence of
calcium, and furthermore the experimental results pre-
sented here need to be considered with several caveats. First, we are assuming that oxygen consumption is
proportional to energy use, because under normal con-
ditions glucose is essentially completely oxidised in the
brain by the sequential operation of glycolysis and oxi-
dative phosphorylation.4,5 However, we cannot exclude
the possibility that, in our brain slices, glycolysis
accounts for a larger proportion of ATP generation
than in the normal brain. For example, microglia, the
brain’s immune cells, switch their energy production
mechanism from oxidative phosphorylation to glycoly-
sis in hypoxia62, and the relative rates of these processes
in astrocytes and neurons63 could differ in slices and in
vivo. However, in these experiments, the slices were
superfused with 100% oxygen and thus were not lim-
ited by oxygen availability. Without external calcium, the Naþ/Kþ pump
accounts for 50% of energy use After ouabain application in the absence of external
calcium, the oxygen level at the slice surface rose from
0.26 0.05 mM to 0.38 0.05 mM (Figure 6(a); recov-
ery and effect of glutamate are not shown as the effect
of ouabain was irreversible). The main effect of ouabain
on oxygen levels was significant at all depths in the
slice (F(3,18)¼17.86, p ¼ 1.2 105, n ¼ seven slices). Oxygen levels in the presence of ouabain differed
significantly
from
those
in
control
conditions
(t(18)¼11.55, p ¼ 2.7 1012). In contrast, with exter-
nal calcium present, the oxygen level at the slice
surface rose from 0.17 0.02 mM to 0.20 0.01 mM
(Figure 6(b)) when ouabain was applied, which was not
significant (F(3,6)¼1.32, p¼ 0.35, n¼ four slices). This is
presumably because the pump block raises [Ca2þ]i which
increases energy consumption (see Discussion). When modelling the rate of oxygen consumption
through the slice, the Vmax for O2 usage after inhibition
of both lipid and protein synthesis (Figure 5(c)) fell to
0.82 0.05 of the control value (t(4)¼4.1, p ¼ 0.04),
recovered to 0.96 0.07 of the control value on remov-
ing the blockers (t(4) ¼ 0.66, p ¼ 0.54), and increased
to 1.63 0.15 of the control value (t(4)¼4.61, p ¼ 0.02)
in
glutamate. For
protein
synthesis
block
alone
(Figure 5(d)), the Vmax for O2 usage in anisomycin rela-
tive to baseline was 1.03 0.03, not significantly differ-
ent from the control value (t(3)¼1.15, p ¼ 0.33). After
removing the drug, the recovery value was 0.97 0.02
of the control value (t(3) ¼ 1.9, p ¼ 0.30), while Vmax
in glutamate rose to 1.54 0.08 of the control value When modelling the rate of oxygen consumption
through the slice, the average Vmax for oxygen usage
in ouabain without external calcium (Figure 6(c)) was
0.50 0.07
of
the
control
value
without
calcium
(t(6) ¼ 7.4, p ¼ 3104, n ¼ seven slices). With exter-
nal calcium present (Figure 6(d)), the Vmax after oua-
bain application was not significantly different from 962 Journal of Cerebral Blood Flow & Metabolism 37(3) baseline (0.85 0.10 of the control value, t(3) ¼ 1.5,
p ¼ 0.23, n ¼ four slices). Discussion The resting
oxygen consumption in our experiments (in P10 rats)
was 0.47 0.03 mM/min at 37C, while 0.7 mM/min
was found previously in coronal brain slices of P21
rats at 35C51, 0.8 mM/min in cultured cerebellar
slices of P8 rats, and 1.3 mM/min in acute cerebellar
slices of P10 rats, both at 37C.64 However, oxygen
consumption is higher in vivo: in anaesthetized rats,
the CMRO2 at 37C is approximately 1.8 mM/min,65
while Sokoloffet al.66 estimated glucose consump-
tion in the grey matter of conscious adult rats to be
1 mM/min, implying an oxygen consumption of
6 mM/min. In awake humans, the whole-brain averaged
CMRO2 is around 1.3 mM/min.67 The much lower
oxygen consumption in our data (0.47 0.03mM/min
under
baseline
conditions)
presumably
reflects
the
young age of the animal and the presence of little neur-
onal activity in the slice (Figure 2(c)) which is a major
contributor to oxygen use.51,63,68–71 Interestingly, unlike
our data in Figure 2(c), Huchzermeyer et al.68 found a p
p
p
y
(
)
As in previous experiments in vivo12, inhibiting the
sodium–potassium pump approximately halved the total
energy expenditure in our brain slices. However, as in
cortical slices,58,59 this pronounced reduction in oxygen
consumption was seen only when external calcium was
absent, and the decrease in oxygen consumption was
inhibited when calcium was present in the external solu-
tion (Figure 6). It is known that, with extracellular cal-
cium present, blocking the sodium pump with ouabain
induces a rise of intracellular [Ca2þ]i, due to Naþ gradi-
ent rundown and subsequent reversal of the Naþ/Ca2þ
exchanger60. This may, in turn, increase the activity of
oxygen-consuming processes (such as Ca2þ-ATPase
activity to remove the extra Ca2þ) as well as increasing
oxidative phosphorylation,61 which could occlude the
decrease in oxygen consumption produced by sodium–
potassium pump inhibition. 963 Engl et al. rise in oxygen level in organotypic slices following the
application of TTX, implying that sufficient spontaneous
activity was occurring to generate detectable O2 use. Whether this reflects the use of organotypic slices or of
an interface chamber69 by Huchzermeyer et al.,68 as
opposed to the submerged acute slices used in this
study, is unclear. In summary, contributions of non-signalling pro-
cesses to the brain’s energy budget can be significant,
but are probably dynamic and likely to change during
development or with changes in the brain’s functional
state. Discussion Pathology will also alter non-signalling processes
and their energetic consumption. Alzheimer’s disease
(AD), in which energy supply is impaired, affects actin
and microtubule turnover.79,80 Cofilin, an actin-binding
protein, may link cytoskeletal aberrations to mitochon-
drial impairments characteristic not only of AD, but
also
of
related
pathologies
such
as
Parkinson’s
and Huntington’s disease.81 Understanding how non-
signalling processes contribute to the brain’s energy
budget is therefore important. As a first step, we have
found that both actin and microtubule cytoskeleton
turnover are surprisingly significant energy drains in
the healthy developing brain, with lipid synthesis close
behind. In contrast, protein synthesis is energetically
inexpensive. rise in oxygen level in organotypic slices following the
application of TTX, implying that sufficient spontaneous
activity was occurring to generate detectable O2 use. Whether this reflects the use of organotypic slices or of
an interface chamber69 by Huchzermeyer et al.,68 as
opposed to the submerged acute slices used in this
study, is unclear. If the non-signalling energy use were the same inde-
pendent of age, brain location or level of neuronal activ-
ity, then the percentage contributions of non-signalling
energy processes to the total energy budget would be
significantly smaller in vivo than we calculate above. However, non-signalling processes are not completely
uncoupled from signalling activity: for instance, actin
turnover is regulated by neuronal activity, with faster
treadmilling after block of neuronal activity and reduced
motility due to actin stabilisation after NMDA applica-
tion.19,72 This would imply that the energetic cost of
actin cycling in brain slices, with little neuronal activity,
is higher than in the intact brain. It is also likely that non-signalling processes in more
mature animals have a different energy demand from
those at the early developmental stage used here (P10)
when cell processes are still being extended. Funding The author(s) disclosed receipt of the following financial sup-
port for the research, authorship, and/or publication of this
article: This work was supported by the Wellcome Trust (PhD
studentship 097265/Z/11/A to EE and Senior Investigator
Award
099222/Z/12/Z
to
DA),
the
ERC
(Advanced
Investigator Award 249670 BRAINPOWER to DA), and a
Marie Curie Fellowship to RJ. Discussion Energy
metabolism as a whole changes: at P10, rodents may
lack full capabilities for oxidative phosphorylation,
which might explain the lower baseline Vmax in our
slices compared to those from older animals,50 and
neuronal function is more resistant to oxygen depriv-
ation than in mature rats.73 In the case of the actin
cytoskeleton, developmental changes occur: motility
in highly dynamic dendritic spines decreases signifi-
cantly between P10 (a peak time for synaptogenesis)
and P20 in cortical mouse slices.74 Total actin levels
in the brain also peak at an early stage of development
and later decline.75 This would again imply that actin
recycling uses less energy in vivo than in our brain
slices. The pattern of microtubule spatial organisation
also shifts during early development: uniformly high-
polymerisation rates throughout neuronal axons and
dendrites in the first days of development give way to
more stable proximal regions in older cultured neurons,
while more dynamic distal regions maintain high poly-
merisation rates.76 Furthermore, de novo phospholipid
and protein synthesis both decline with age.77 Non-sig-
nalling processes are thus developmentally regulated,
and it would be valuable to repeat the experiments pre-
sented here at different stages of development. Here, we
have presented data at P10, an age of rapid synapse
restructuring and synaptogenesis.78 It would be inter-
esting to investigate whether the energetic cost of actin
cycling decreases after P20, when synapses have sta-
bilised and less cytoskeletal rearrangement is needed. In
addition, it would be interesting to test for regional
differences in the non-signalling energy budget. Supplementary material Supplementary material for this paper can be found at http://
jcbfm.sagepub.com/content/by/supplemental-data Authors’ contributions EE, DA, RJ, and CH designed research, EE and CH per-
formed experiments, EE, RJ, and CH analysed data, and
EE, DA, CH, and RJ wrote the manuscript. Declaration of conflicting interests The author(s) declared no potential conflicts of interest with
respect to the research, authorship, and/or publication of this
article. Acknowledgements We thank Dr Julia Harris and Oliver Gauld for valuable help
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Detecção da Infraestrutura para Exploração Florestal em Rondônia Utilizando Dados de Sensoriamento Remoto
|
Floresta e Ambiente
| 2,015
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cc-by
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Floresta e Ambiente 2015; 22(3): 377-390
http://dx.doi.org/10.1590/2179-8087.064013
ISSN 1415-0980 (impresso)
ISSN 2179-8087 (online)
Artigo Original Floresta e Ambiente 2015; 22(3): 377-390
http://dx.doi.org/10.1590/2179-8087.064013
ISSN 1415-0980 (impresso)
ISSN 2179-8087 (online)
Artigo Original Floresta e Ambiente 2015; 22(3): 377-390
http://dx.doi.org/10.1590/2179-8087.064013
ISSN 1415-0980 (impresso)
ISSN 2179-8087 (online) Floresta e Ambiente 2015; 22(3): 377-390
http://dx.doi.org/10.1590/2179-8087.064013
ISSN 1415-0980 (impresso)
ISSN 2179-8087 (online) Artigo Original RESUMO A infraestrutura para exploração florestal é fundamental nas atividades de exploração madeireira,
mas responde por grande parte dos impactos ambientais dessa atividade. O presente estudo
aplicou e testou cinco técnicas de processamento digital de imagens orbitais com três resoluções
espaciais distintas para a detecção de estradas e pátios florestais construídos em áreas sob manejo
florestal sustentável na Floresta Nacional do Jamari, estado de Rondônia. Os resultados mostraram
que o NDVI e a Análise de componentes principais apresentaram a melhor acurácia global nas
resoluções espaciais de 5 e 10 metros e na de 30 metros, respectivamente. De maneira geral,
a acurácia do produtor para a classe de interesse não foi alta, alcançando no máximo 39,2%,
e índice Kappa de 0,38. A baixa performance das técnicas de geoprocessamento utilizadas na
detecção de florestas exploradas seletivamente está relacionada às alterações ocorridas no dossel
da floresta manejada, pouco perceptíveis em imagens de satélite. Palavras-chave: sensoriamento remoto, manejo florestal sustentável, processamento
digital de imagens. Detecção da Infraestrutura para Exploração Florestal em
Rondônia Utilizando Dados de Sensoriamento Remoto Ekena Rangel Pinagé1,2,Eraldo Aparecido Trondoli Matricardi2 1Embrapa Monitoramento por Satélite, Campinas/SP, Brasil
2Departamento de Engenharia Florestal, Universidade de Brasília – UnB, Brasília/DF, Brasil 2.1. Área de estudo A Flona do Jamari é uma Unidade de Conservação
de Uso Sustentável criada em 25 de setembro de 1984. Situa-se nos municípios de Itapuã do Oeste, Cujubim e
Candeias do Jamari, no estado de Rondônia, com área
de 220 mil hectares (Figura 1). Segundo o plano de
manejo da unidade, a tipologia vegetal predominante
é a Floresta Ombrófila Densa com porções de Floresta
Ombrófila Aberta, que podem se apresentar com
predominância de palmeiras ou com cipós, de acordo
com a classificação fisionômica-ecológica do IBGE
(2012). A infraestrutura florestal é o principal elemento
de contexto do padrão espacial do corte seletivo
de madeira, constituída por estradas primárias que
dão acesso à área de manejo e estradas secundárias
ligando pátios de estocagem. Geralmente, esses
elementos podem ser detectados em imagens de
satélite, possibilitando o mapeamento da exploração
madeireira por sensoriamento remoto. Em 2008, a Flona do Jamari destinou uma área de
96 mil hectares para concessão florestal, dividida em
três unidades de manejo, o que a tornou a primeira
Floresta Nacional a passar por esse tipo de licitação
no Brasil. Uma vez que há limitações para a detecção do
impacto de outras operações da exploração florestal
com o uso de imagens ópticas, tais como abate e arraste
de árvores (Coops et al., 2007), a infraestrutura foi
selecionada como objeto da avaliação da qualidade
do mapeamento do corte seletivo de madeira a partir
de dados orbitais. Nesse trabalho foram consideradas como área de
estudo as Unidades de Produção Anual (UPA) 1 das
Unidades de Manejo Florestal (UMF) 1 e 2, áreas
delimitadas em amarelo na Figura 1. A área da UPA
1 na UMF 1 tem 594 hectares e a área da UPA 1 na
UMF 2, 1.068 hectares. O volume médio de madeira
retirado foi de 14,8 m3.ha–1 na área da UMF 1 e de
9,6 m3.ha–1 na área da UMF 2. O objetivo desta análise é aplicar e testar a detecção
da infraestrutura florestal utilizando diferentes
técnicas de processamento de imagens de satélite com
diferentes resoluções espaciais. 2.1. Área de estudo Os testes de detecção
da infraestrutura foram realizados com a aplicação de
algumas técnicas de processamento digital de imagens
em três resoluções espaciais distintas: o Modelo Linear
de Mistura Espectral (MLME), técnica mais utilizada
atualmente nesse tipo de detecção, com imagens de média
resolução espacial (Souza et al., 2005; Asner et al., 2005;
Matricardi et al., 2010); alguns índices de vegetação: o
NDVI, por ser o índice mais utilizado (Rouse et al., 1973),
o MSAVI, por ter correção para os efeitos do solo
(Qi et al., 1994), e o GEMI, por apresentar correção ABSTRACT Logging lands (forest roads and log decks) are an underlying issue during selective logging activities,
but they are responsible for most impacts on the forest. This study aimed to apply and assess the
performance of five geoprocessing techniques on remotely sensed data using three different spatial
resolutions to detect logging lands under forest management at the Jamari National Forest, state
of Rondônia, Brazil. The research results showed that Normalized Difference Vegetation Index
(NDVI) and Principal Components Analysis (PCA) presented the best overall accuracy using
spatial resolutions of 5 and 10 meters, and 30 meters, respectively. Generally, the overall accuracy
and Kappa statistics for the selectively logged forest classifications were not good (39.2% or lower,
and 0.38 or lower, respectively). The low performance of the geoprocessing techniques is related
to the subtle changes on the forest canopy cover under selective logging activities. Keywords: remote sensing, sustainable forest management, digital image processing. Floresta e Ambiente 2015; 22(3): 377-390 378
Pinagé ER, Matricardi EAT 1. INTRODUÇÃO E OBJETIVO para os efeitos atmosféricos (Pinty & Verstraete, 1992);
e a Análise de componentes principais (ACP). Para que o manejo florestal seja praticado, é
necessária a abertura da infraestrutura florestal
permanente, constituída de pátios de estocagem,
estradas primárias e secundárias, além das pontes. Porém, a sustentabilidade da atividade demanda que
as vias de acesso gerem o menor impacto possível aos
ecossistemas. De acordo com um levantamento do
IFT (2011), obras de infraestrutura como estradas e
pátios podem impactar diretamente até 10% da área
onde se pratica o manejo florestal. Quando as estradas
não são bem construídas, podem provocar prejuízos
aos recursos naturais, afetando qualidade da água,
migração e deslocamento de espécies, ocasionando
ainda fragmentação de habitats e erosão do solo (Uhl
& Vieira, 1989). As técnicas e testes foram aplicados na área de
floresta pública sob concessão federal na Floresta
Nacional (Flona) do Jamari, Estado de Rondônia,
onde existem planos de manejo florestal sustentável
em execução desde 2010. 2.2. Imagens de satélite e técnicas de
processamento Foram utilizadas imagens multiespectrais do
satélite Landsat 5, sensor TM, largamente utilizadas
no monitoramento da Amazônia (INPE, 2006) e
atualmente distribuídas gratuitamente. Além desse
motivo, o Landsat 5 é o único satélite da série Landsat
operacional nas datas escolhidas para a análise. Foram 379
Detecção da Infraestrutura para Exploração Florestal... Floresta e Ambiente 2015; 22(3): 377-390 Figura 1. Localização da Floresta Nacional do Jamari, de suas Unidades de Manejo Florestal (UMF) e das Unidade
de Produção Anual (UPA) objetos deste estudo. Figure 1. Study site location at the Jamari National Forest, its Forest Management Plots (FMP), and the Annua
Production Plots (APP) in this study. Figura 1. Localização da Floresta Nacional do Jamari, de suas Unidades de Manejo Florestal (UMF) e das Unidades
de Produção Anual (UPA) objetos deste estudo. Figure 1. Study site location at the Jamari National Forest, its Forest Management Plots (FMP), and the Annual
Production Plots (APP) in this study. testadas também ortoimagens da constelação de satélites
RapideEye, no nível de processamento 3A. Tabela 1. Dados de sensoriamento remoto utilizado
neste estudo. Table 1. Remotely sensed data used in this study. Table 1. Remotely sensed data used in this study. As imagens de satélite que cobrem a área de estudo
foram adquiridas em duas coberturas distintas: uma antes
do início da exploração florestal na área, que ocorreu
em setembro de 2010, e outra após o início, em maio
de 2011. Três resoluções espaciais foram utilizadas: as
imagens RapidEye em sua resolução de ortoimagens
(5 metros) e reamostradas para 10 metros, e a imagem
Landsat 5 TM com 30 metros. A Tabela 1 mostra as
informações das imagens Landsat e RapidEye utilizadas. Satélite/
Constelação
Órbita-ponto/
Tile
Data de
aquisição
Landsat5
232/066
15/5/2010
Landsat5
232/066
5/7/2011
RapidEye
2034814
14/5/2010
RapidEye
2034815
14/5/2010
RapidEye
2034915
14/5/2010
RapidEye
2034916
10/5/2010
RapidEye
2034814
31/5/2011
RapidEye
2034815
31/5/2011
RapidEye
2034915
31/5/2011
RapidEye
2034916
31/5/2011 As imagens Landsat passaram por calibração
radiométrica – conversão de valores digitais para
níveis de radiância e, posteriormente, para valores
de reflectância no topo da atmosfera e, em seguida,
por correção geométrica. As imagens RapidEye
passaram apenas pela correção radiométrica, por serem
disponibilizadas já com a correção geométrica. A partir
das imagens calibradas para reflectância no topo da
atmosfera, as técnicas de processamento digital de
imagens detalhadas a seguir foram aplicadas. 2.2.5. Análise de componentes principais
(ACP) 2.2.5. Análise de componentes principais
(ACP) em que ρIVP = Reflectância na faixa espectral do
infravermelho próximo; e ρV = Reflectância na faixa
espectral do vermelho; e em que ρIVP = Reflectância na faixa espectral do
infravermelho próximo; e ρV = Reflectância na faixa
espectral do vermelho; e A correlação entre bandas é um problema
frequentemente encontrado em imagens multiespectrais. A transformação por componentes principais é uma
técnica utilizada para reduzir essa redundância entre
os dados presentes nas diferentes faixas espectrais. O propósito dessa técnica é comprimir toda a informação
contida em um conjunto original de dados com n
bandas para um dado com menos do que n bandas,
que pode então ser utilizado no lugar do dado original
(Lillesand et al., 2008). Eliminar a alta correlação das
imagens tem a vantagem de reduzir o volume de dados
a ser analisado e de redistribuir a informação espectral
entre as novas principais componentes (Meneses &
Almeida, 2012). (
)
(
)
L
(
IVP
V *s
1
IVP
V ²
8.0*s*
IVP
V
=
ρ
−ρ
+ + ρ
+ ρ
−
ρ
−ρ
(3)
em que s = Declividade da linha de solos calculada
a partir da reflectância do solo exposto na imagem
RapidEye. 2.2.1. Normalized Difference Vegetation Index
(NDVI) O NDVI foi um dos primeiros índices de vegetação
desenvolvidos e é amplamente utilizado até os dias atuais,
tendo sido explorado em diferentes abordagens em Floresta e Ambiente 2015; 22(3): 377-390 80
Pinagé ER, Matricardi EAT 380 2.2.3. Global Environment Monitoring Index
(GEMI) Considerando que a influência da atmosfera é
maior na faixa espectral do vermelho do que na do
infravermelho próximo, Pinty & Verstraete (1992)
propuseram para o monitoramento global da vegetação
esse novo índice, o GEMI, criado para minimizar a
influência dos efeitos atmosféricos no valor final do
índice. Seu cálculo é dado pelas Equações 4 e 5: (MLME) Dentro de um único pixel podem estar incluídos
diferentes objetos ou elementos da cobertura da
superfície terrestre. Isso gera uma mistura espectral,
ou seja, a resposta espectral de um pixel da imagem
é resultante da combinação da resposta espectral dos
diferentes componentes que formam esse pixel. (
) (
)
IVP
V /
IVP
V
NDVI = ρ
−ρ
ρ
+ ρ
(1) (1) em que ρIVP = Reflectância na faixa espectral do
infravermelho próximo e ρV = Reflectância na faixa
espectral do vermelho. Com o uso do Modelo linear de mistura espectral
é possível estimar a proporção de cada um desses alvos
no pixel a partir da aplicação da técnica de otimização
dos mínimos quadrados (Shimabukuro & Smith, 1991). Com a aplicação desse modelo é gerada uma imagem
fração para cada um dos componentes considerados,
conhecidos como endmembers. Essas imagens representam
as proporções (abundância) de cada um dos respectivos
componentes da cena selecionados para o modelo de
mistura espectral (Ponzoni & Shimabukuro, 2009). 2.2.2. Modified Soil Adjusted Vegetation Index
(MSAVI) Desenvolvido por Qi et al. (1994), o MSAVI oferece
uma fórmula com a inclusão de um fator de correção
para a influência dos solos, L, que depende da cobertura
vegetal da área de trabalho. Sua fórmula é mostrada
nas Equações 2 e 3: (
) (
)
(
) (
)
MSAVI
IVP
V /
IVP
V
L
* 1
L
=
ρ
−ρ
ρ
+ ρ
+
+
(2) 2.2.4. Modelo linear de mistura espectral
(MLME) estudos agrícolas, florestais e climáticos. Desenvolvido
por Rouse et al. (1973), deu origem a vários outros
índices, que são transformações do NDVI, na tentativa
de reduzir os efeitos do solo e da atmosfera e melhorar
o desempenho dos índices de vegetação na avaliação
da vegetação. Sua fórmula é descrita na Equação 1: 2.2.6. Análise de acurácia A análise estatística da detecção da infraestrutura
florestal consistiu na avaliação de acurácia das classificações
geradas com as cinco técnicas de processamento digital
de imagens descritas anteriormente. Nessa avaliação é
gerada para cada classificação uma matriz de confusão
(também conhecida como tabela de contingência) com
dois dados: aqueles gerados pela classificação e pontos
de GPS coletados em campo com um receptor GPS de
navegação, adotados como dado de referência para a (
)
(
) (
)
= 1
0,25
*(
0,125 / 1
,
GEMI
V
V
η
η
ρ
ρ
−
−
−
(4) (4) em que ρV = Reflectância na faixa espectral do
vermelho; e em que ρV = Reflectância na faixa espectral do
vermelho; e (
)
(
) (
)
(
)
2
2
2*
1 ,5
0,5
/
0,5
,
IVP
V
IVP
V
IVP
V
η
ρ
ρ
ρ
ρ
ρ
ρ
=
−
+
+
+
+
(5)
onde ρIVP = Reflectância na faixa espectral do
infravermelho próximo; e ρV = Reflectância na faixa
espectral do vermelho. (
)
(
) (
)
(
)
2
2
2*
1 ,5
0,5
/
0,5
,
IVP
V
IVP
V
IVP
V
η
ρ
ρ
ρ
ρ
ρ
ρ
=
−
+
+
+
+
(5) onde ρIVP = Reflectância na faixa espectral do
infravermelho próximo; e ρV = Reflectância na faixa
espectral do vermelho. Floresta e Ambiente 2015; 22(3): 377-390 38
Detecção da Infraestrutura para Exploração Florestal... 381 validação. Esse procedimento é descrito em detalhes
por Congalton & Green (2008). Um fluxograma resumindo as etapas seguidas para
a detecção da infraestrutura florestal é apresentado
na Figura 2. Foram analisadas as estatísticas fornecidas pela
matriz de confusão: índice Kappa, erros de omissão e
comissão e acurácia global, do produtor e do usuário. O índice Kappa representa a medida da concordância
entre os dados de referência e os dados da classificação
(indicados pela diagonal da matriz de confusão) e da
concordância esperada ao acaso (indicada pelas marginais
da matriz de confusão). A acurácia global representa
a proporção dos pontos de referência corretamente
classificados (Congalton & Green, 2008). 3. RESULTADOS E DISCUSSÃO A configuração das estradas e pátios de estocagem
bem como as árvores abatidas até a data de aquisição
das imagens auxiliam na interpretação dos resultados
das classificações geradas (Figura 3). As classificações
geradas a partir da aplicação das cinco técnicas nos três
conjuntos de imagens mostraram resultados bastante Figura 2. Fluxo utilizado na detecção da infraestrutura florestal utilizando dados de sensoriamento remoto. Figure 2. Flowchart for the logging infrastructure detection using remotely sensed data. Figura 2. Fluxo utilizado na detecção da infraestrutura florestal utilizando dados de sensoriamento remoto. Figure 2. Flowchart for the logging infrastructure detection using remotely sensed data. Figura 3. Infraestrutura florestal existente nas áreas de estudo e árvores abatidas até a data das imagens de satélite
utilizadas. Figure 3. Existing logging infrastructure in the study sites and harvested trees by the acquisition date of the satellite
images. Figura 3. Infraestrutura florestal existente nas áreas de estudo e árvores abatidas até a data das imagen
utilizadas. Figura 3. Infraestrutura florestal existente nas áreas de estudo e árvores abatidas até a data das imagens de satélite
utilizadas. Figure 3. Existing logging infrastructure in the study sites and harvested trees by the acquisition date of the satellite
images. Figura 3. Infraestrutura florestal existente nas áreas de estudo e árvores abatidas até a data das imagens de satélite
utilizadas. Figure 3. Existing logging infrastructure in the study sites and harvested trees by the acquisition date of the satellite
images. utilizadas. Figure 3. Existing logging infrastructure in the study sites and harvested trees by the acquisition date of the satellite
images. 382
Pinagé ER, Matricardi EAT Floresta e Ambiente 2015; 22(3): 377-390 As outras técnicas apresentaram resultados intermediários
entre o NDVI e o GEMI, apresentando acurácia global e
índice Kappa de: 63,34% e 0,24 (MLME); 62,75% e 0,23
(ACP); e 62,17% e 0,22 (MSAVI). As demais estatísticas
geradas apresentadas na matriz de confusão também
seguiram esse padrão. discrepantes para as diferentes resoluções espaciais,
especialmente entre as imagens RapidEye e Landsat,
conforme mostram as matrizes de confusão dos dados
gerados a partir das imagens RapidEye na resolução
espacial de 5 metros e o mapa das classificações
(Tabela 2 e Figura 3, respectivamente). Para essa resolução houve uma variação de até 13%
entre os resultados das cinco técnicas empregadas. O NDVI apresentou os melhores resultados de acurácia
global e índice Kappa (70,01% e 0,38, respectivamente). 3. RESULTADOS E DISCUSSÃO explorada
3
41
44
25,15%
93,18%
6,82%
74,85%
Total
178
163
341
--
--
--
-- Floresta e Ambiente 2015; 22(3): 377-390 3
Detecção da Infraestrutura para Exploração Florestal... 383 Esses valores de acurácia do produtor e do usuário
indicam que o mapeamento da infraestrutura florestal
foi conservador, com altas taxas de omissão para a classe
área explorada, concentradas nas áreas de estradas
secundárias. Essas feições são de difícil detecção,
especialmente numa exploração de impacto reduzido
como a que ocorre nas concessões florestais. Em muitos
trechos elas não apresentam largura suficiente para
abrir o dossel florestal e expor porções de solo, como
acontece nas estradas primárias e pátios de estocagem. Entretanto, dessa vez o MSAVI se mostrou a melhor
técnica para a detecção da classe área explorada,
com acurácia do produtor cerca de 5% maior que a
do NDVI. A imagem resultante da aplicação dessa
técnica é a que detém maior quantidade de pequenos
polígonos da classe de interesse, então a chance de
ocorrerem coincidências com os pontos de validação
são maiores. Inversamente, mas pelo mesmo motivo,
a acurácia do produtor da classe floresta para essa
técnica foi a menor de todas. Além da análise estatística obtida com a matriz de
confusão, é pertinente também analisar visualmente o
resultado das classificações. Comparando-se o NDVI
com o GEMI, por exemplo, percebe-se que o NDVI
mapeou melhor a infraestrutura e apresentou menos
polígonos espúrios, sugerindo que ele foi mais eficiente
na detecção da exploração florestal. Comparando-se os resultados obtidos com a
resolução de 10 metros com os da de 5 metros,
observa‑se que apenas o NDVI apresentou resultado
superior na resolução de 5 metros, as demais técnicas
tiveram desempenho melhor na resolução de 10 metros. Esses resultados gerais indicam que não há ganho
representativo em aumentar a resolução espacial de
10 para 5 metros. Visualmente, os resultados das duas
resoluções também são bastante similares. De maneira geral, as técnicas baseadas em índices
de vegetação apresentaram mais polígonos classificados
como infraestrutura florestal do que o MLME e a ACP. Mas, em contrapartida, essas técnicas apresentaram
melhor configuração das estradas primárias e alguma
sinalização de estradas secundárias, mesmo que
incipiente e descontínua, especialmente o MSAVI. Apresentam ainda alguma indicação de impacto no
dossel ocasionado pelas operações de derrubada e arraste
das toras, especialmente o NDVI. 3. RESULTADOS E DISCUSSÃO O GEMI apresentou o pior desempenho entre os
resultados obtidos para essa resolução, com 57,47% e
0,12 de acurácia global e índice Kappa, respectivamente. Para a classe de interesse do mapeamento
(área explorada), os valores de acurácia do produtor
foram bem mais baixos, variando de 39,26% (NDVI)
a 14,72% (GEMI). Já para a acurácia do usuário, os
valores para a classe de interesse foram bem mais
altos, sendo que somente os índices GEMI e MSAVI
apresentaram valor inferior a 90%. Tabela 2. Matrizes de confusão das cinco técnicas aplicadas nas imagens RapidEye com resolução espacial de
5 metros. Table 2. Confusion matrices of the five processing techniques applied in RapidEye imagery with 5 meters spatial
resolution. resolution. Normalized Difference Vegetation Index (NDVI)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
175
99
274
98,31%
63,87%
36,13%
1,69%
70,01%
0,39
A. explorada
3
64
67
39,26%
95,52%
4,48%
60,74%
Total
178
163
341
--
--
--
--
Global Environmental Monitoring Index (GEMI)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
172
139
311
96,63%
55,31%
44,69%
3,37%
57,47%
0,12
A. explorada
6
24
30
14,72%
80,00%
20,00%
85,38%
Total
178
163
341
--
--
--
--
Modified Soil Adjusted Vegetation Index (MSAVI)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
160
111
271
89,89%
59,04%
40,96%
10,11%
62,17%
0,22
A. explorada
18
52
70
31,90%
74,29%
25,71%
68,10%
Total
178
163
341
--
--
--
--
Análise de componentes principais (ACP)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
175
124
299
98,31%
58,53%
41,47%
1,69%
62,75%
0,23
A. explorada
3
39
42
23,93%
92,86%
7,14%
76,07%
Total
178
163
341
--
--
--
--
Modelo linear de mistura espectral (MLME)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
175
122
297
98,31%
58,92%
41,08%
1,69%
63,34%
0,24
A. 3. RESULTADOS E DISCUSSÃO A comparação do
mapa da Figura 3 com a Figura 4 permite a identificação
do impacto no dossel relacionado ao abate das árvores
até a data de aquisição das imagens, que foi melhor
mapeado nas classificações geradas com os índices
de vegetação. Na resolução de 30 metros, os resultados de acurácia
global das cinco técnicas foram muito similares, com
variação de aproximadamente 5% (Tabela 4). A técnica
que apresentou o maior valor dessa estatística foi a
ACP (57,72%); o NDVI e o MSAVI apresentaram
resultados idênticos (53,64%). Entretanto, quando
se analisa a acurácia do produtor para a classe área
explorada, observa-se que os valores foram bem baixos
(variando de 0,61% para o GEMI a 15,15% para a ACP). A acurácia global ficou em torno dos 50%, porque o
mapeamento da classe floresta foi excelente para todas
as técnicas, como pode ser verificado na matriz de
confusão, dado que é uma classificação binária. Somente
o resultado da Análise de componentes principais
apresentou valor da estatística Kappa superior a 0,1,
valor já considerado de baixa concordância (Congalton
& Green, 2008). Para a resolução espacial de 10 metros, a acurácia
global das diferentes técnicas apresentaram no máximo
5,2% de variação, menor do que a variação encontrada
na resolução de 5 metros, como pode ser observado
nas matrizes de confusão (Tabela 3). Na análise visual da Figura 6 observa-se que
apenas os resultados do MSAVI, da ACP e do MLME
mostram alguma configuração das estradas primárias
existentes, mesmo que descontínuas. Corroborando a
maior acurácia global obtida entre as cinco técnicas,
a ACP apresenta o resultado com maior significado
real (no campo), principalmente na área da UMF 2. Silva et al. (2009) também identificaram a ACP, em
comparação com o MLME e a transformação IHS com
razão de bandas, como a melhor técnica na detecção O mapa das classificações geradas a partir das
imagens RapidEye reamostradas para a resolução
espacial de 10 metros mostra que as técnicas que não
envolveram detecção de mudanças apresentaram
resultados idênticos e, visualmente, seus resultados
também são muito semelhantes (Figuras 4 e 5). O NDVI continuou apresentando melhor acurácia
global e índice Kappa, assim como o GEMI, seguiu
apresentando o pior desempenho. 384
Pinagé ER, Matricardi EAT Floresta e Ambiente 2015; 22(3): 377-390 ura 4. Resultados das classificações geradas com as cinco técnicas aplicadas nas imagens RapidEye com re
acial de 5 metros. ure 4. 3. RESULTADOS E DISCUSSÃO Results of the binary classifications derived from the five processing techniques applied in R
agery with 5 meters spatial resolution. Figura 4. Resultados das classificações geradas com as cinco técnicas aplicadas nas imagens RapidEye com resolução
espacial de 5 metros. Figure 4. Results of the binary classifications derived from the five processing techniques applied in RapidEye
imagery with 5 meters spatial resolution. Figura 4. Resultados das classificações geradas com as cinco técnicas aplicadas nas imagens RapidEye com resolução
espacial de 5 metros. Figure 4. Results of the binary classifications derived from the five processing techniques applied in RapidEye
imagery with 5 meters spatial resolution. Figura 4. Resultados das classificações geradas com as cinco técnicas aplicadas nas imagens RapidEye com resolução
espacial de 5 metros. Figure 4. Results of the binary classifications derived from the five processing techniques applied in RapidEye
imagery with 5 meters spatial resolution. 385
Detecção da Infraestrutura para Exploração Florestal... Floresta e Ambiente 2015; 22(3): 377-390 Figura 5. Resultados das classificações geradas com as cinco técnicas aplicadas nas imagens RapidEye com re
spacial de 10 metros. Figure 5. Results of the binary classifications derived from the five processing techniques applied in R
magery with 10 meters spatial resolution Figura 5. Resultados das classificações geradas com as cinco técnicas aplicadas nas imagens RapidEye com resolução
espacial de 10 metros. Figure 5. Results of the binary classifications derived from the five processing techniques applied in RapidEye
imagery with 10 meters spatial resolution. Figura 5. Resultados das classificações geradas com as cinco técnicas aplicadas nas imagens RapidEye com resolução
espacial de 10 metros. Figure 5. Results of the binary classifications derived from the five processing techniques applied in RapidEye
imagery with 10 meters spatial resolution. 386
Pinagé ER, Matricardi EAT Floresta e Ambiente 2015; 22(3): 377-390 ura 6. Resultados das classificações geradas com as cinco técnicas aplicadas nas imagens Landsat 5 T
lução espacial de 30 metros. ure 6. Results of the binary classifications derived from the five processing techniques applied in Lands
h
l
l Figura 6. Resultados das classificações geradas com as cinco técnicas aplicadas nas imagens Landsat 5 TM com
resolução espacial de 30 metros. Figure 6. Results of the binary classifications derived from the five processing techniques applied in Landsat 5 TM
imagery with 30 meters spatial resolution. Figura 6. p
Results of the binary classifications derived from the five processing techniques applied in Landsat 5 TM
with 30 meters spatial resolution. 3. RESULTADOS E DISCUSSÃO Resultados das classificações geradas com as cinco técnicas aplicadas nas imagens Landsat 5 TM com
resolução espacial de 30 metros. Figure 6. Results of the binary classifications derived from the five processing techniques applied in Landsat 5 TM
imagery with 30 meters spatial resolution. Figure 6. Results of the binary classifications derived from the five processing techniques applied in Landsat 5 TM
imagery with 30 meters spatial resolution. Floresta e Ambiente 2015; 22(3): 377-390 387
Detecção da Infraestrutura para Exploração Florestal... 387 Tabela 3. Matrizes de confusão das cinco técnicas aplicadas nas imagens RapidEye com resolução espacial de
10 metros.i Table 3. Confusion matrices of the five processing techniques applied in RapidEye imagery with 10 meters spatial
resolution. Normalized Difference Vegetation Index (NDVI)
Classificação
Dado de referência
Acurácia do
produtor
Acurácia
do usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
171
109
280
96,07%
61,07%
38,93%
3,93%
65,98%
0,30
A. explorada
7
54
61
33,13%
88,52%
11,48%
66,87%
Total
178
163
341
--
--
--
--
Global Environmental Monitoring Index (GEMI)
Classificação
Dado de referência
Acurácia do
produtor
Acurácia
do usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
168
124
292
94,38%
57,53%
42,47%
5,62%
60,70%
0,19
A. explorada
10
39
49
23,93%
79,59%
20,41%
76,07%
Total
178
163
341
--
--
Modified Soil Adjusted Vegetation Index (MSAVI)
Classificação
Dado de referência
Acurácia do
produtor
Acurácia
do usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
157
100
257
88,20%
61,09%
38,91%
11,80%
64,52%
0,27
A. explorada
21
63
84
38,65%
75,00%
25,00%
61,35%
Total
178
163
341
--
--
--
--
Análise de componentes principais (ACP)
Classificação
Dado de referência
Acurácia do
produtor
Acurácia
do usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
176
121
297
98,88%
59,26%
40,74%
1,12%
63,93%
0,25
A. explorada
2
42
44
25,77%
95,45%
4,55%
74,23%
Total
178
163
341
--
--
--
--
Modelo linear de mistura espectral (MLME)
Classificação
Dado de referência
Acurácia do
produtor
Acurácia
do usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
176
121
297
98,88%
59,26%
40,74%
1,12%
63,93%
0,25
A. 3. RESULTADOS E DISCUSSÃO explorada
2
42
44
25,77%
95,45%
4,55%
74,23%
Total
178
163
341
--
--
--
-- do corte seletivo com imagens Landsat 5 TM numa
área do Mato Grosso. melhor desempenho na classificação do que o NDVI,
contudo isso não foi constatado. Uma possível causa para
o melhor desempenho do NDVI é a data das imagens
utilizadas na detecção da infraestrutura. As imagens
RapidEye pós-exploração foram adquiridas em maio,
já no início da estação seca. Se elas tivessem sido
adquiridas no auge da estação chuvosa, a vegetação
provavelmente estaria no seu vigor máximo e a saturação
com vegetação densa que ocorre no NDVI poderia ter
diminuído seu desempenho. Os baixos valores do índice Kappa sugerem que
a detecção da infraestrutura florestal nas imagens
Landsat tem pouca aderência aos dados de referência,
que representam a realidade de campo. A extensão
dos alvos em relação à resolução espacial das imagens
explica esses resultados: muitos alvos apresentam
dimensões menores que 30 metros, resolução espacial
do sensor TM. A acurácia da classe floresta elevou fortemente os
valores da acurácia global para todas as classificações. Esse fato é evidenciado pela diferença entre os valores
obtidos na acurácia global (dada em porcentagem) e
o índice Kappa (apresentado em proporção). O índice De maneira geral, considerando-se as três resoluções
espaciais analisadas, esperava-se que os índices de
vegetação com correção para os fatores atmosféricos
(GEMI) e de influência do solo (MSAVI) apresentassem Floresta e Ambiente 2015; 22(3): 377-390 388
Pinagé ER, Matricardi EAT Tabela 4. Matrizes de confusão das cinco técnicas aplicadas nas imagens Landsat 5 TM com resolução espacial de
30 metros. Table 4. Confusion matrices of the five processing techniques applied in Landsat 5 TM imagery with 30 meters
spatial resolution. spatial resolution. Normalized Difference Vegetation Index (NDVI)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do
usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
176
157
333
98,88%
52,85%
47,15%
1,12%
53,64%
0,04
A. explorada
2
8
10
4,85%
80,00%
20,00%
95,15%
Total
178
165
343
--
--
--
--
Global Environmental Monitoring Index (GEMI)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do
usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
178
164
342
100,00%
52,05%
47,95%
0,00%
52,19%
0,01
A. 3. RESULTADOS E DISCUSSÃO explorada
0
1
1
0,61%
100,00%
0,00%
100,00%
Total
178
165
343
--
--
--
--
Modified Soil Adjusted Vegetation Index (MSAVI)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do
usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
176
157
333
98,88%
52,85%
47,15%
1,12%
53,64%
0,04
A. explorada
2
8
10
4,85%
80,00%
20,00%
95,15%
Total
178
165
343
--
--
--
--
Análise de componentes principais (ACP)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do
usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
173
140
313
97,19%
55,27%
44,73%
2,81%
57,73%
0,13
A. explorada
5
25
30
15,15%
83,33%
16,67%
84,85%
Total
178
165
343
--
--
--
--
Modelo linear de mistura espectral (MLME)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do
usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
177
154
331
99,44%
53,47%
46,53%
0,56%
54,81%
0,06
A. explorada
1
11
12
6,67%
91,67%
8,33%
93,33%
Total
178
165
343
--
--
--
-- Normalized Difference Vegetation Index (NDVI)
Classificação
Dado de referência
Acurácia
do
produtor
Acurácia
do
usuário
Erro de
comissão
Erro de
omissão
Acurácia
global
Índice
Kappa
Floresta
A. explorada
Total
Floresta
176
157
333
98,88%
52,85%
47,15%
1,12%
53,64%
0,04
A. explorada
2
8
10
4,85%
80,00%
20,00%
95,15%
Total
178
165
343
--
--
--
--
Gl b l E
i
t l M
it
i
I d
(GEMI) Kappa compara os resultados obtidos a uma classificação
aleatória, considerando a classificação de forma
global e não fazendo uma média entre as acurácias
das classes consideradas, como acontece no cálculo
da acurácia global. pela exploração florestal de impacto reduzido está
dentro da variabilidade natural encontrada em áreas
de floresta primária, quando o dossel é visto de cima
pelos sensores ópticos (no nível do solo as mudanças
são muito mais evidentes). A grande quantidade de pixels atribuídos à classe de
interesse nas classificações geradas a partir dos índices
de vegetação, inclusive nas áreas não exploradas na
UPA, sugere que o grau de mudança ocasionado pela
exploração florestal é similar às mudanças naturais que
ocorrem na floresta de um ano para o outro. Esse resultado
corrobora a afirmação defendida por D’Oliveira et al. (2012) de que grande parte das alterações ocasionadas 4. CONCLUSÕES E CONSIDERAÇÕES
FINAIS Estimating forest biomass and identifying low-intensity
logging areas using airborne scanning lidar in Antimary
State Forest, Acre State, Western Brazilian Amazon. Remote
Sensing of Environment 2012; 124: 479-491. http://dx.doi. org/10.1016/j.rse.2012.05.014. logging areas using airborne scanning lidar in Antimary
State Forest, Acre State, Western Brazilian Amazon. Remote
Sensing of Environment 2012; 124: 479-491. http://dx.doi. org/10.1016/j.rse.2012.05.014. Numa área com exploração florestal de impacto
reduzido como é o caso das concessões florestais é
fundamental o uso de imagens ópticas com maior
resolução espacial ou de sensores ativos, especialmente
se o objetivo é avaliar e monitorar impactos que ocorrem
em pequena escala (remoção de uma árvore, abertura
de ramais de arraste). Os resultados encontrados com
as imagens Landsat neste estudo apontam claramente
essa necessidade. O uso de dados de aerolevantamento
com tecnologia de perfilhamento a laser (LiDAR) tem
mostrado grande potencial e resultados promissores
para esse fim (Andersen et al., 2014; Kent et al., 2015). Instituto Brasileiro de Gografia e Estatística - IBGE. Manual técnico da vegetação brasileira. 2. ed. Rio de
Janeiro: IBGE; 2012. Instituto Floresta Tropical – IFT. [online]. [citado em 2011
set. 9]. Disponível em: http://www.ift.org.br/ Instituto Nacional de Pesquisas Espaciais - INPE. Metodologia
para o cálculo da taxa anual de desmatamento na Amazônia
Legal [online]. São José dos Campos: INPE; 2006. [citado
em 2011 jul. 21]. Disponível em: http://www.obt.inpe.br/
prodes/metodologia.pdf Kent R, Lindsell JA, Laurin GV, Valentini R, Coomes DA. Airborne LiDAR detects selectively logged tropical forest
even in an advanced stage of recovery. Remote Sensing
2015; 7: 8348-8367. http://dx.doi.org/10.3390/rs70708348. Recebido: 21 out., 2013
Aceito: 30 mar., 2015
AUTOR(ES) PARA CORRESPONDÊNCIA Recebido: 21 out., 2013
Aceito: 30 mar., 2015 Recebido: 21 out., 2013
Aceito: 30 mar., 2015 Matricardi EAT, Skole DL, Pedlowski MA, Chomentowski
W, Fernandes LC. Assessment of tropical forest degradation
by selective logging and fire using Landsat imagery. Remote
Sensing of Environment 2010; 114(5): 1117-1129. http://
dx.doi.org/10.1016/j.rse.2010.01.001. 4. CONCLUSÕES E CONSIDERAÇÕES
FINAIS A acurácia global máxima obtida na detecção
da infraestrutura florestal obtida nesta análise foi de
aproximadamente 70%, com a utilização do índice de
vegetação NDVI na resolução espacial de 5 metros. Floresta e Ambiente 2015; 22(3): 377-390 389
Detecção da Infraestrutura para Exploração Florestal... 389 Valores de acurácia menores ainda foram obtidos
para a classe de interesse (área explorada). As imagens
ópticas são normalmente utilizadas no monitoramento
do corte seletivo em florestas tropicais, possibilitando
a detecção de sua ocorrência baseada em uma série
de elementos de contexto que constituem seu padrão
espacial, mas são limitadas em sua capacidade de
distinguir as mudanças estruturais que ocorrem abaixo
do dossel (Coops et al., 2007), como é o caso de grande
parte das alterações que ocorrem devido à execução
do manejo florestal. REFERÊNCIAS Andersen HE, Reutebuch SE, McGaughey RJ, d’Oliveira
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Comparison of RNA isolation methods on RNA-Seq: implications for differential expression and meta-analyses
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© The Author(s). 2020 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
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data made available in this article, unless otherwise stated in a credit line to the data. Scholes and Lewis BMC Genomics (2020) 21:249
https://doi.org/10.1186/s12864-020-6673-2 Scholes and Lewis BMC Genomics (2020) 21:249
https://doi.org/10.1186/s12864-020-6673-2 Open Access Abstract Background: The increasing number of transcriptomic datasets has allowed for meta-analyses, which can be
valuable due to their increased statistical power. However, meta-analyses can be confounded by so-called “batch
effects,” where technical variation across different batches of RNA-seq experiments can clearly produce spurious
signals of differential expression and reduce our power to detect true differences. While batch effects can
sometimes be accounted for, albeit with caveats, a better strategy is to understand their sources to better avoid
them. In this study, we examined the effects of RNA isolation method as a possible source of batch effects in RNA-
seq design. Results: Based on the different chemistries of “classic” hot phenol extraction of RNA compared to common
commercial RNA isolation kits, we hypothesized that specific mRNAs may be preferentially extracted depending
upon method, which could masquerade as differential expression in downstream RNA-seq analyses. We tested this
hypothesis using the Saccharomyces cerevisiae heat shock response as a well-validated environmental response. Comparing technical replicates that only differed in RNA isolation method, we found over one thousand transcripts
that appeared “differentially” expressed when comparing hot phenol extraction with the two kits. Strikingly,
transcripts with higher abundance in the phenol-extracted samples were enriched for membrane proteins,
suggesting that indeed the chemistry of hot phenol extraction better solubilizes those species of mRNA. Conclusions: Within a self-contained experimental batch (e.g. control versus treatment), the method of RNA
isolation had little effect on the ability to identify differentially expressed transcripts. However, we suggest that
researchers performing meta-analyses across different experimental batches strongly consider the RNA isolation
methods for each experiment. Keywords: RNA-seq, RNA isolation, Batch effects, Meta-analysis, Transcriptomics Comparison of RNA isolation methods on
RNA-Seq: implications for differential
expression and meta-analyses Amanda N. Scholes1,2 and Jeffrey A. Lewis1* Background transcriptomic datasets need to be cautious in their use
and aware of so-called “batch effects,” where technical
differences between experimental batches can clearly
produce spurious signals of differential expression and
reduce our power to detect true differences. The decreasing cost of massively parallel sequencing has
led to an explosion of transcriptomic datasets. This large
number of datasets has allowed for meta-analyses, which
can be valuable due to their increase in statistical power. However,
researchers
performing
meta-analyses
on In some cases the sources of batch effects are known
and can be avoided. Some well-known batch effects in-
clude sequencing lane effects, library construction proto-
col, and RNA quality [1–3]. Other sources of batch
effects clearly exist but remain unknown. While batch USA
Full list of author information is available at the end of the article * Correspondence: lewisja@uark.edu
1Department of Biological Sciences, University of Arkansas, Fayetteville, AR, p
j @
1Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA
Full list of author information is available at the end of the article Scholes and Lewis BMC Genomics (2020) 21:249 Page 2 of 9 Page 2 of 9 zol methods. Based on the combined chemistries of so-
dium dodecyl sulfate (SDS) and phenol on cellular mem-
branes [8, 9], we hypothesized that the Phenol method
would better solubilize membrane-associated mRNAs. To test this hypothesis, and whether the choice of RNA
isolation method had downstream effects on our ability to
detect differentially expression transcripts, we collected
four biological replicates of the model yeast Saccharomy-
ces cerevisiae before and after a 20-min heat shock. Im-
portantly, each biological sample was split into three
identical technical replicates that differed only in their
mode of RNA isolation. This allowed us to systematically
test whether the RNA isolation method affects relative
transcript abundance between technical replicates, and
whether that matters for differential expression analysis. effects can sometimes be accounted for, this comes with
some major caveats. If the batch effect completely
confounds the experimental design, for example with
different sequencing lanes being used for controls and
treatments, statistically accounting for the batch effect
will remove any “real” signal [4]. Even in the case where
the batch effect is not a complete confounder, account-
ing for batch can reduce our power to detect true bio-
logical signal [5]. Thus, a better understanding of the
sources of batch effects can help us to avoid them. In this study, we examined the effects of RNA isolation
method as a possible source of batch effects in RNA-seq
design. It is well known that the RNA distribution within
cells is not uniform. Newly synthesized pre-mRNAs are
processed in the nucleus before being exported. Once
exported, mRNAs are frequently trafficked to specific
subcellular sites as a mechanism for spatially controlling
protein synthesis. Indeed, perhaps the most widespread
example of mRNA localization is that used for spatial
control of protein synthesis, where mRNAs encoding se-
creted and membrane proteins are translated at the ER
membrane allowing for proper protein localization and
folding [6]. Our analysis found a striking number of transcripts
(nearly 1/3 of the genome) that appeared “differentially”
expressed when comparing the Phenol method to either
Kit method, and a small number of differences when
comparing the Kit methods to each other. Transcripts
over-represented by Phenol extraction compared to ei-
ther Kit were enriched for membrane proteins, suggest-
ing that indeed the combination of SDS plus phenol
better extracts those species of mRNA. Importantly,
there were virtually no differences when comparing dif-
ferential expression for the heat shock response within
samples where RNA was isolated via same method. Based on these results, we strongly recommend that
meta-analyses be performed on groups of experiments
with common RNA isolation methods. Despite the widespread acknowledgement that mRNAs
are differentially localized within the cell, there has been
a paucity of studies examining whether “common” RNA
extraction methods are equivalent in their abilities to ex-
tract differentially localized RNA species, and whether
the method of RNA isolation affects our ability to detect
differentially expressed transcripts. Sultan and colleagues
compared two RNA isolation methods (Qiagen RNeasy
kit and guanidinium-phenol (TRIzol) extraction) and
two library selection schemes (poly-A enrichment and
rRNA depletion) on downstream transcript abundance
estimates, and found that rRNA depletion was particu-
larly sensitive to the RNA extraction method [2]. How-
ever, their comparisons were done using only two
biological replicates, and they only examined transcript
abundance across technical replicates and not whether
the method of extraction affects the ability to detect dif-
ferential expression in the types of sample comparisons
that biologists frequently care about (e.g. wild-type ver-
sus mutant or treatment versus control). Experimental setup To test whether RNA extraction methods impact between-
sample comparisons and the power to identify differentially
expressed genes, we used the well-characterized yeast heat
shock response as an environmental perturbation. We col-
lected four biological replicates for comparison. For each
biological replicate, three “technical replicate” samples were
collected to understand the impact of RNA extraction
method. The only difference was that each technical repli-
cate had their RNA extracted by one of three methods:
classic hot acid phenol (Phenol Method), a silica-based col-
umn kit (RNeasy Method) and a guanidinium-phenol (TRI-
zol)-based kit (Direct-zol Method) (Fig. 1). RNA isolated
via the Phenol method was subsequently “cleaned” with a
Qiagen RNeasy Kit using the optional on-column DNase
treatment, thus controlling for both DNase treatment and
potential differential binding of different RNA species to
the column. To minimize against batch effects other than
RNA extraction method, all RNA-seq libraries were con-
structed on the same day using an automated robotic plat-
form, and all libraries were multiplexed and sequenced on
a single lane of an Illumina HiSeq4000 instrument. Thus, we sought to systematically examine whether
three common RNA isolation methods led to differences
in transcript abundance and/or our ability to detect dif-
ferential expression between two experimental condi-
tions in the form of the Saccharomyces cerevisiae heat
shock response. The different RNA isolation methods
were the classic “hot acid phenol” method, and the two
most commonly-used types of kits [7]—a silica-based
column kit (Qiagen RNeasy Kit) and a guanidinium-
phenol (TRIzol)-based kit (Zymo Research Direct-zol),
hereafter referred to as the Phenol, RNeasy, and Direct- Scholes and Lewis BMC Genomics (2020) 21:249 Page 3 of 9 Page 3 of 9 Scholes and Lewis BMC Genomics Fig. 1 Schematic of the experimental design. Yeast cells were grown
to mid-exponential phase at 30 °C, unstressed control samples were
collected, and then cells were shifted to a 37 °C heat shock with
samples collected after 20 min. For both unstressed and stressed cells,
we collected three identical samples (technical replicates), and RNA
was isolated using either hot acid phenol extraction, a Qiagen RNeasy
Kit, or a Zymo Research Direct-zol RNA Miniprep Kit. Experimental setup Libraries were
constructed in a single batch using a liquid handling robot, and then
were pooled and sequenced on a single Illumina HiSeq4000 lane We were particular interested in whether differences
in the RNA isolation method could masquerade as “dif-
ferential” expression due to differences in transcript
quantification. We first performed principal component
analysis (PCA) (Fig. 2). Not surprisingly, a substantial
proportion of the variance (50.5%) was explained by
treatment (unstressed versus heat shock). The second
principal component corresponded to RNA isolation
method and explained 26.9% of the variation. Samples
with RNA isolated by the two different kit methods clus-
tered together, with the Phenol-isolated samples forming
a separate cluster. It could seem counterintuitive that
Direct-zol and Phenol methods would be so dissimilar,
considering that both methods use phenol. However, the
Direct-zol method uses a milder detergent than SDS
(sarkosyl), is performed at room temperatures instead of
65 °C, and samples are exposed to phenol for 10 min in-
stead of 45 min. We speculate that these differences with
the Phenol method result in both silica-column-based
kits behaving similarly (see Discussion and conclusions). To visualize differences in transcript abundance across
RNA isolation methods, we performed hierarchical clus-
tering on the TPMs of the unstressed samples (Fig. 3a). Hierarchical clustering of the samples largely recapitu-
lated the patterns of PCA—again, the Phenol-isolated
samples formed a discreet cluster distinct from the two
kits. The RNeasy- and Direct-zol-isolated samples also
had far fewer visible differences. To quantify these differ-
ences, we used edgeR to identify transcripts with signifi-
cantly differential abundance in pairwise comparisons of
each RNA isolation method (FDR < 0.01, see Methods). Pairwise comparisons of the Phenol method with each
Kit method identified a large number of transcripts with
differential abundance: 2430 transcripts
(Phenol vs. RNeasy) and 2512 transcripts (Phenol vs. Direct-zol),
which we validated with qPCR for representative tran-
scripts
with
differential
abundance
(Supplementary
Fig. 1). Of those transcripts with differential abundance
in both comparisons, 1917 overlapped, which was highly
significant (P = 1 × 10−520, Fisher’s exact test) (Fig. 3c). In contrast, only 230 transcripts had differential abun-
dance when comparing the kits to each other, suggesting
only slight differences. Fig. 1 Schematic of the experimental design. Yeast cells were grown
to mid-exponential phase at 30 °C, unstressed control samples were
collected, and then cells were shifted to a 37 °C heat shock with
samples collected after 20 min. Experimental setup For both unstressed and stressed cells,
we collected three identical samples (technical replicates), and RNA
was isolated using either hot acid phenol extraction, a Qiagen RNeasy
Kit, or a Zymo Research Direct-zol RNA Miniprep Kit. Libraries were
constructed in a single batch using a liquid handling robot, and then
were pooled and sequenced on a single Illumina HiSeq4000 lane Differences in relative transcript abundance between
phenol-extracted RNA and kit-extracted RNA Looking more closely at the cellular
component GO enrichments, transcripts with higher
abundance in the phenol samples were strongly enriched
for those encoding intrinsic membrane proteins (P < 4 ×
10−191), as well as proteins localized to the endoplasmic
reticulum (P < 6 × 10−84), cell periphery (P < 3 × 10−80),
and the vacuole (P < 3 × 10−53). In contrast, mRNAs with
lower relative abundance in the phenol samples were
enriched for nuclear in localization (P < 3 × 10−60), and in-
cluded those encoding functions related to nucleic acid me-
tabolism (P < 1 × 10−38), RNA metabolism (P < 6 × 10−28),
chromosome organization (P < 4 × 10−17), and gene expres-
sion (P < 8 × 10−17). Notably, the transcripts that appeared
“repressed” in the Phenol samples compared to both Kits
also had significantly lower expression relative to the
genomic average (60.7 TPMs vs. 170.3 TPMs; P < 3 × 10−24,
t-test). We hypothesize that lowly expressed transcripts
are more sensitive to appearing spuriously “repressed”
(see Discussion and conclusions). also
examined
the
relationship
between
differential
abundance and direct estimates of in vivo transcript sta-
bility (half-lives) from Neymotin and colleagues [10]. We
did find a significant difference in the Phenol vs. Direct-
zol comparison, but not for the Phenol vs. RNeasy com-
parison. To determine how much of the variation was
explained by GC content, gene length, and transcript
half-life, we performed linear regression of those param-
eters on the average fold changes for phenol-extracted
samples vs. the kits. Both GC content and transcript
length showed weak to moderate correlation (r = 0.06–
0.32) with log2 fold changes, depending upon the com-
parison group, while estimated in vivo half-life weakly
correlated with log2 fold changes in either comparison
(Supplementary Tables 3 and 4). Because differences in
GC content and length are associated with differences in
transcript degradation rates in vitro [3], we repeated the
edgeR analysis using RIN as a factor. We expected that
because the RIN values for the Direct-zol samples were
all lower than the others, using RIN as a covariate would
eliminate most of the signal for differential expression. This turned out to be correct—we identified 788 “differ-
entially” expressed genes in the Phenol vs. Direct-zol
comparison compared to 2513 when RIN was not in-
cluded as a factor. Differences in relative transcript abundance between
phenol-extracted RNA and kit-extracted RNA All of the RNA isolation methods yielded generally high
quality RNA, as defined by a RIN of 9.0 or above, though
the phenol extracted RNA averaged significantly higher
RIN values than those isolated from the Direct-zol kit
(9.96 vs. 9.33; P = 2 × 10−6, t-test) or the RNeasy kit (9.96
vs. 9.79; P = 0.01, t-test) (Supplementary Table 1). The
percentage of total mapped reads was similar across sam-
ples, with slight (though significant) differences (Supple-
mentary Table 2). There were larger differences in the
percentage of uniquely mapped reads across RNA isola-
tion methods (Supplementary Table 2). These differences
did not correlate with RNA integrity, as the Direct-zol
samples had the lowest RIN values and highest uniquely
and total mapped reads. Overall, we feel that both the
RNA quality and read mapping would not raise any red
flags in laboratories performing RNA-seq on either their
own samples, or conducting a meta-analysis, though those
values can be used a factor to be controlled for in differen-
tial expression analysis [3]. To better visualize these differences, we performed
hierarchical clustering on all 3127 transcripts with sig-
nificantly differential abundance (FDR < 0.01) in any
pairwise comparison of RNA isolation method (Fig. 3b). We found striking functional gene ontology (GO) en-
richments for transcripts with higher or lower abun-
dance in the phenol-extracted samples compared to
both kits. Transcripts with higher abundance in phenol-
extracted RNA in comparison to both kits were strongly
enriched for transmembrane transport (P < 4 × 10−68),
establishment
of
localization
(P
< 9 × 10−54),
lipid Scholes and Lewis BMC Genomics (2020) 21:249 Page 4 of 9 Fig. 2 Principal component analysis (PCA) strongly implicates RNA isolation method as a batch effect. PCA on TPMs for each sample (see
Methods) shows clear separation on both treatment (PC1) and RNA isolation method (PC2). Kit samples were more similar to each other than
they were to the Phenol samples Fig. 2 Principal component analysis (PCA) strongly implicates RNA isolation method as a batch effect. PCA on TPMs for each sample (see
Methods) shows clear separation on both treatment (PC1) and RNA isolation method (PC2). Kit samples were more similar to each other than
they were to the Phenol samples metabolism (P < 1 × 10−27), and cell wall organization
(P < 1 × 10−18). Differences in relative transcript abundance between
phenol-extracted RNA and kit-extracted RNA Because the RNeasy-isolated samples
had relatively high RIN values relative to the Direct-zol-
isolated samples, the vast majority of transcripts with
differential expression were retained as significant when
accounting for RIN in the edgeR QL model (2362 /
2430). With RIN as a covariate, we repeated the analyses
looking at relationships between “differential” expression
and GC content, gene length, and in vivo transcript sta-
bility (Supplementary Fig. 3 and Supplementary Ta-
bles 3). The correlations between log2 fold changes and
GC content or in vivo transcript stability were essentially Properties of transcripts with spurious differential
expression That Phenol-isolated samples have higher transcript
abundance for mRNAs encoding membrane proteins fits
with the hypothesis that the Phenol method better solu-
bilizes that species of mRNA. Another possibility is that
differences in transcript degradation rates are respon-
sible for the spurious patterns of differential expression. Because GC content and transcript length correlate with
in vivo mRNA degradation rates [3], we examined those
relationships in our data. Transcripts with significantly
higher or lower abundance in Phenol-extracted samples
compared to each Kit method had significantly higher
GC content and gene length (Supplementary Fig. 2). We Page 5 of 9 Scholes and Lewis BMC Genomics (2020) 21:249 Fig. 3 Phenol preferentially extracts mRNAs that encode for membrane proteins. a Hierarchical clustering of unstressed samples (P = Phenol, R =
RNeasy, D = Direct-zol). Clustering on relative transcript abundance (TPMs) reveals differences depending upon RNA isolation method, while
clustering on sample identity shows that the Phenol method diverges from both Kits. Red indicates higher than average transcript abundance
within a sample, and blue indicates lower than average transcript abundance. b Hierarchical clustering of 3127 transcripts with significantly
differential abundance (FDR < 0.01) in any pairwise comparisons between each RNA isolation method. Brown indicates higher expression than the
comparison group (e.g. Phenol in the P v. R column) and violet indicates lower expression than the comparison group (e.g. RNeasy in the P v. R
column). Enriched Gene Ontology (GO) categories (Bonferroni-corrected P < 0.01) are shown on the right. Complete GO enrichments for each
cluster can be found in Supplementary File 3. c Overlap between transcripts with significantly differential abundance (FDR < 0.01) in the Phenol v. RNeasy and Phenol v. Direct-zol comparisons Fig. 3 Phenol preferentially extracts mRNAs that encode for membrane proteins. a Hierarchical clustering of unstressed samples (P = Phenol, R =
RNeasy, D = Direct-zol). Clustering on relative transcript abundance (TPMs) reveals differences depending upon RNA isolation method, while
clustering on sample identity shows that the Phenol method diverges from both Kits. Red indicates higher than average transcript abundance
within a sample, and blue indicates lower than average transcript abundance. b Hierarchical clustering of 3127 transcripts with significantly
differential abundance (FDR < 0.01) in any pairwise comparisons between each RNA isolation method. Brown indicates higher expression than the
comparison group (e.g. Phenol in the P v. R column) and violet indicates lower expression than the comparison group (e.g. Properties of transcripts with spurious differential
expression RNeasy in the P v. R
column). Enriched Gene Ontology (GO) categories (Bonferroni-corrected P < 0.01) are shown on the right. Complete GO enrichments for each
cluster can be found in Supplementary File 3. c Overlap between transcripts with significantly differential abundance (FDR < 0.01) in the Phenol v. RNeasy and Phenol v. Direct-zol comparisons extraction are responsible for the batch effect, and not
RNA degradation (see Discussion and conclusions). eliminated for the Phenol vs. Direct-zol comparison,
while the correlation with length was slightly reduced. Thus, it is possible that some subset of spurious differ-
ential expression is due to differences in RNA degrad-
ation
rates. However,
the
surviving
differentially
expressed transcripts with higher expression in the
Phenol-isolated samples relative to the Direct-zol iso-
lated samples were still strongly enriched for those en-
coding intrinsic membrane proteins (P < 3 × 10−100). Moreover, because of the substantial overlap between
genes called as differentially expressed in the Phenol vs. RNeasy and Phenol vs. Direct-zol comparisons, we
hypothesize
that
the
differing
chemistries
in
the Differences in RNA isolation method have little effect on
the ability to detect differential expression with a batch Discussion and conclusions In this study, we tested whether differences in RNA iso-
lation method affect relative transcript abundance be-
tween samples, and whether the RNA isolation method
impacts our ability to detect differential expression. Our
results suggest that differences in RNA isolation method
can substantially affect relative transcript abundance,
and we saw thousands of differences in transcript abun-
dance when comparing hot acid phenol extraction with
an RNeasy or Direct-zol kit. It is well established that
mRNAs encoding membrane and secreted proteins are
anchored to the membrane during translation [11]. That
transcripts with higher abundance in the Phenol-isolated
samples are strongly enriched for encoding membrane
proteins suggests the Phenol method better solubilizes
those
mRNAs. Because
relatively
more
membrane-
associated mRNAs are being extracted, there must be
relatively less abundance of other mRNAs. Thus, we see
decreased abundance of certain nuclear transcripts,
which were already more lowly expressed, and thus
likely more sensitive to appearing “repressed.” Fig. 4 The method of RNA extraction has little effect on differential
expression analysis. Hierarchical clustering of median-centered log2-
fold TPM changes for 4232 transcripts that were differentially
expressed in response to heat (FDR < 0.01) in at least one set of
samples (P = phenol, R = RNeasy, D = Direct-zol). The left portion of
the heat map displays gene expression changes during heat shock
across the four biological replicates, with red indicating genes
induced by heat shock, and blue indicating genes repressed by heat
shock. The right portion shows differences in abundance in pairwise
comparisons between each RNA isolation method, with brown
indicating higher expression than the comparison group, and violet
indicating lower expression than the comparison group. The Venn
Diagram depicts overlap between differentially expressed genes in
the Phenol, RNeasy, and Direct-zol isolated samples We disfavor the alternative hypothesis that we are cap-
turing differences in transcript degradation rates for a
number of reasons. First, while we do see differences in
RIN values across the different RNA isolation methods,
the differences are relatively small, and our RIN values
are all much higher than the points where other studies
identified them as confounding RNA-seq analysis [3, 12]. Differences in RNA isolation method have little effect on
the ability to detect differential expression with a batch The striking differences in transcript abundance depend-
ing on RNA isolation could conceivably affect the ability
to detect differential expression. To test this, we exam-
ined our ability to detect differential expression in cells
shifted from 30 °C to 37 °C for 20 min—the classic yeast
heat shock response. We identified ~ 3800 differentially
expressed
transcripts
for
all
three
RNA
isolation
methods, with substantial overlap for all three (Fig. 4). Page 6 of 9 Scholes and Lewis BMC Genomics (2020) 21:249 Page 6 of 9 Scholes and Lewis BMC Genomics Fig. 4 The method of RNA extraction has little effect on differential
expression analysis. Hierarchical clustering of median-centered log2-
fold TPM changes for 4232 transcripts that were differentially
expressed in response to heat (FDR < 0.01) in at least one set of
samples (P = phenol, R = RNeasy, D = Direct-zol). The left portion of
the heat map displays gene expression changes during heat shock
across the four biological replicates, with red indicating genes
induced by heat shock, and blue indicating genes repressed by heat
shock. The right portion shows differences in abundance in pairwise
comparisons between each RNA isolation method, with brown
indicating higher expression than the comparison group, and violet
indicating lower expression than the comparison group. The Venn
Diagram depicts overlap between differentially expressed genes in
h
h
l
d
l
l
d
l One possibility is that the transcripts encoding the
processes most affected by differences in the extraction
methods (i.e. membrane-associated proteins) are lowly
represented during the heat shock response, and thus
the method of RNA isolation could affect differential
expression under different conditions. To test this, we
examined whether genes with the GO component term
of “membrane” were less likely to be differentially
expressed during heat shock. Genes encoding membrane
proteins comprise 28.7% of the yeast genome, which
turned out to be statistically equivalent (via TOST, see
Methods) to their proportion within the heat shock re-
sponse (28.4, 28.7, and 28.3% for RNAs extracted by
Phenol, RNeasy, and Direct-zol, respectively). Thus, we
hypothesize that at sufficient sequencing depth, the abil-
ity to detect differential expression is robust to the mod-
est differences in transcript counts caused by differences
in RNA isolation method. Discussion and conclusions Second, it is likely that any degradation that is occurring
in our samples is happening in vitro during RNA isola-
tion, and Opitz and colleagues have found that in vitro
RNA degradation rates are likely relatively equal across
transcripts and thus have little effect on differential ex-
pression analysis [13]. And while RNA degradation rates
in vivo are strongly biased and can lead to spurious Hierarchical clustering yielded no clear pattern among
differentially expressed transcripts that were missed in
sample set over another (Fig. 4). We also detected zero
transcripts that had significant fold change differences in
their heat shock response in any pairwise comparison
between RNA isolation methods (Supplementary File 2). Page 7 of 9 Page 7 of 9 Page 7 of 9 Page 7 of 9 Scholes and Lewis BMC Genomics (2020) 21:249 Scholes and Lewis BMC Genomics (2020) 21:249 functional
enrichments in downstream
analysis, we
found little relationship between estimated mRNA half-
lives from [10] and fold-changes in comparisons between
kits. Only one of the Phenol vs. Kit comparisons showed
a significant difference in half-lives, but the correlation
was still rather poor (r2 = 0.02). And while transcripts
with higher relative abundance in the phenol-extracted
samples versus the kits had higher GC content and gene
length, which both correlate with higher in vivo degrad-
ation rates [3], the correlation between those parameters
and fold-change differences was not strong (Supplemen-
tary Table 3). Notably, GC content and gene length are
not random, and membrane proteins tend to be longer
and have higher GC content than average [14, 15]. Fi-
nally, if RNA degradation is responsible, it is somewhat
hard to reconcile that we see similar patterns of “differ-
ential”
expression
when
comparing
the
Phenol
vs. Direct-zol or RNeasy kits, even though the RNeasy kits
have quite a bit higher RIN values. RNA isolation with two different Miniprep kits RNA isolation with two different Miniprep kits
RNA was extracted using two different kits: the Qiagen
RNeasy Mini Kit (Cat. 74,104) and the Zymo Research
Direct-zol RNA Miniprep Kit (Cat. R2050). Cell concen-
trations were all below the maximum recommendation
of 5 × 107 cells from both manufacturers (ranging from
2.5 × 107–4.5 × 107 cells). For both kits, we mechanically
lysed cells with a Beadbeater-24 (3500 oscillations/mi-
nute, 45 s on ice between cycles). Mechanical lysis was
performed in 2-ml screw-capped tubes containing an
equal volume (600 μl) of lysis buffer (RLT for RNeasy or
TRI reagent for Direct-zol) and acid-washed glass beads
(425–600 μm, Sigma-Aldrich). Yeast growth and sampling procedures RNA was then purified according to each manufac-
turer’s protocol for yeast, including the optional on-
column DNase digestion. For all samples, RNA was
quantitated using a Qubit RNA HS Assay kit and Qubit
fluorometer according to the manufacturer’s instruc-
tions. The RNA integrity number (RIN) for each sample
was measured using an Agilent 2200 TapeStation. RNA
concentrations and RIN values for each sample can be
found in Supplementary Table 1. g
g
All experiments were performed using yeast strain
BY4741
(S288c
background;
MATa
his3Δ1
leu2Δ0
met15Δ0 ura3Δ0), obtained from Open Biosystems. To
compare RNA isolation methods, we collected three
identical 10-ml ‘technical’ replicates for each biological
replicate (4 biological replicates in total). Cells were
grown > 8 generations in 100-ml synthetic complete
medium (SC) [16] at 30 °C with orbital shaking (270
rpm) to mid-exponential phase (OD600 of 0.3–0.6), and
10-ml samples were removed representing the un-
stressed control. For heat shock treatment, one volume
of 55 °C medium was added to the remaining culture,
immediately bringing the final temperature to 37 °C, and
the culture was incubated at 37 °C for another 20 min
before removing 10-ml samples. Both unstressed and
heat shocked cells were collected by centrifugation at
1500 x g for 3 min, and cell pellets were flash frozen in
liquid nitrogen and stored at −80 °C until processing. RNA isolation methods
Hot phenol isolation RNA isolation methods
Hot phenol isolation Cells were lysed and RNA was isolated using a standard
hot phenol method as described [17], and a detailed proto-
col can be found on the protocols.io repository under DOI
dx.doi.org/10.17504/protocols.io.inwcdfe. Briefly, 1 volume
of acid saturated phenol and 1 volume of lysis buffer (10
mM Tris-HCl pH 7.4, 10 mM EDTA, 0.5% SDS) were
added to frozen cell pellets, vortexed, and then placed in a
65 °C preheated Multi-Therm incubated vortexer (Bench-
mark Scientific) at 1500 rpm for 45 min. Samples were cen-
trifuged for 10 min at 4 °C at maximum speed in a
microcentrifuge, extracted once more with phenol, once
with chloroform, and then precipitated overnight at −
20 °C with 0.1 volumes of sodium acetate (pH 5.2) and 2.5
volumes of 100% ethanol. Precipitated RNA was washed
once with 70% ethanol and then resuspended in TE (10
mM Tris-HCl pH 8.0, 1 mM EDTA). The phenol extracted
RNA was then ‘cleaned’ using an RNeasy Miniprep Kit
with optional on-column DNase treatment according to
the manufacturer’s instructions. Regardless of the cause of these differences between
hot-phenol extracted samples and kits, it clear that this
can represent a large source of batch-effect variation be-
tween samples whose RNA has been isolated via differ-
ent methods. Within an individual lab, we are largely
agnostic. The method of RNA isolation had little effect
on the ability to identify differentially expressed tran-
scripts in our heat shock test case. Thus, experiments
within a single lab are unlikely to be affected by the
choice of RNA isolation method as long as the same
method is used throughout an experiment. For meta-
analyses however, we recommend that researchers avoid
comparing
experiments
where
the
RNA
isolation
methods differ. Quantitative PCR
h Six genes with either significantly higher (LAS17, SED1,
PRY3) or lower (JNM1, EAF7, RRP36) abundance in the
Phenol vs. Kit RNA-seq data were validated by real-time
quantitative (q) PCR using the Maxima SYBR-qPCR Mas-
ter Mix (Thermo Fisher Scientific) and a Bio-Rad CFX96
Touch Real-Time PCR Detection System as described
[25]. Briefly, cDNA was synthesized from the same RNA
samples used for RNA-seq using 10 μg total RNA, 3 μg an-
chored oligo-dT (T20VN), and SuperScript III (Thermo
Fisher Scientific) according to the manufacturer’s instruc-
tions. One ng of cDNA was used as template, and qPCR
was performed using the following thermal cycling param-
eters: 95 °C for 3 min, 40 cycles 95 °C for 15 s, 55 °C for 1
min for 40 cycles, followed by a melt curve analysis to val-
idate the presence of only a single amplicon. Cq values
were determined using regression analysis, with baseline
subtraction via curve fit. Relative abundance between sam-
ples was determined using the ΔΔCt method [26], by nor-
malizing to ERV25 as control gene whose expression is
unaffected by various stresses [27]. A detailed protocol is
available on protocols.io under DOI dx.doi.org/10.17504/
protocols.io.bbgpijvn. Reads were trimmed of low-quality reads and adapter
sequence (KAPA v1 indices) using Trimmomatic (version
0.32) [18], with the following commands: ILLUMINA-
CLIP:Kapa_indices.fa:2:30:10
LEADING:3
TRAILING:3
MAXINFO:40:0.4 MINLEN:40. Reads were mapped to the
S288c genome (version Scer3), using STAR (version
020201) [19]. Mapping statistics can be found in Supple-
mentary Table 2. Transcripts per million (TPM) and ex-
pected counts for each gene were calculated using RSEM
(version 1.3.1) [20]. The RSEM output can be found in
Additional File 2. Differential expression analysis was conducted using
the Bioconductor package edgeR (version 3.22.3) using
the quasi-likelihood (QL) framework. For the QL model,
sample type (i.e. Phenol unstressed, Phenol heat shock,
RNeasy unstressed …) and biological replicate were used
as factors. To account for differences in RIN across sam-
ples, we also performed a separate analysis that included
sample type, replicate, and RIN as factors in the model. To control for differences in sequencing depth across
samples, the edgeR function thincounts was used to ran-
domly subsample counts across all samples to be equal
to the sample with the lowest number of total counts (8,
678,188). Only genes with at least 1 count per million
(CPM) in at least one condition were included for TMM
normalization and differential expression analysis. RNA sequencing and analysis RNA-seq libraries were prepared from polyA-enriched
RNA using the KAPA Biosystems mRNA HyperPrep Kit
(KK8581) and KAPA Single-Indexed Adapter Set A + B
(KK8700), according to manufacturer’s instructions. We
started with 500 ng total RNA, fragmentation time (6
min) was optimized to generate 200–300-nt RNA frag-
ments, and the libraries were amplified with 9 cycles of
PCR. All libraries were constructed in a single batch Scholes and Lewis BMC Genomics (2020) 21:249 Page 8 of 9 equivalency bounds of +/−0.029 (10% of the background
proportion). through an automated Eppendorf epMotion 5075 liquid
handling robot, and a detailed a protocol can be found
on protocols.io under DOI dx.doi.org/10.17504/proto-
cols.io.uueewte. cDNA libraries were sequenced on a
HiSeq4000 at the University of Chicago Genomics Facil-
ity, generating single-end 50-bp reads. Abbreviations bp: Base pairs; cDNA: Complementary DNA; Ct: Critical threshold;
DNase: deoxyribonuclease; DOI: Digital object identifier; edgeR: Empirical
analysis of Digital Gene Expression in R; ER: Endoplasmic reticulum;
FDR: False discovery rate; GEO: Gene Expression Omnibus; GO: Gene
Ontology; PCA: Principal component analysis; poly-A: polyadenylation;
QL: Quasi-likelihood; qPCR: Quantitative polymerase chain reaction; RIN: RNA
integrity number; RNA-seq: RNA sequencing; RSEM: RNA-Seq by Expectation-
Maximization; SC: Synthetic complete media; SDS: Sodium dodecyl sulfate;
STAR: Spliced Transcripts Alignment to a Reference; TOST: Two One-Sided
Tests; TOSTER: Two One-Sided Tests (TOST) Equivalence Testing;
TPM: Transcripts per million Supplementary information
l
f pp
y
Supplementary information accompanies this paper at https://doi.org/10. 1186/s12864-020-6673-2. Additional file 1: Figure S1. qPCR validation of representative
differentially abundant transcripts. Figure S2. Properties of transcripts
with differential abundance depending upon RNA isolation method. Figure S3. Properties of transcripts with differential abundance when
RIN is included as a factor. Table S1. RNA concentrations and integrity
(RIN) values. Table S2. Summary of mapping statistics. Table S3. Correlation coefficient (r) for log2 fold changes versus each factor. Table 4. Log2 fold-abundance changes versus each factor. Additional file 2. RSEM Output. Additional file 3. EdgeR Output. Additional file 4. GO enrichments for clusters in Fig. 3. Additional file 1: Figure S1. qPCR validation of representative
differentially abundant transcripts. Figure S2. Properties of transcripts
with differential abundance depending upon RNA isolation method. Figure S3. Properties of transcripts with differential abundance when
RIN is included as a factor. Table S1. RNA concentrations and integrity
(RIN) values. Table S2. Summary of mapping statistics. Table S3. Correlation coefficient (r) for log2 fold changes versus each factor. Table 4. Log2 fold-abundance changes versus each factor. Additional file 2. RSEM Output. Additional file 3. EdgeR Output. Additional file 4. GO enrichments for clusters in Fig. 3. p
Principal component analysis (PCA) was performed
using ClustVis [21] on ln-transformed TPM values for
all transcripts included in the differential expression ana-
lysis, using unit variance scaling and singular value de-
composition. Hierarchical clustering was performed with
Cluster
3.0
(http://bonsai.hgc.jp/~mdehoon/software/
cluster/software.htm) using uncentered Pearson correl-
ation and centroid linkage as the metric [22]. RNA-seq
samples were weighted using a cutoff value of 0.4 and an
exponent value of 1. Functional enrichments of gene
ontology (GO) categories were performed using GO-
TermFinder (https://go.princeton.edu/cgi-bin/GOTerm-
Finder) [23], with Bonferroni-corrected P-values < 0.01
taken as significant. Complete lists of enriched categories
can be found in Additional File 4. Equivalency testing on
proportions of gene sets was performed using two one-
sided tests (TOST) through the TOSTER R package
(version 0.3.4) [24], using an alpha level of 0.05, and Additional file 4. GO enrichments for clusters in Fig. 3. Quantitative PCR
h All
RNA-seq data are available through the National Insti-
tutes of Health Gene Expression Omnibus (GEO) data-
base under accession no. GSE135430, and the edgeR
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h
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1 1Department of Biological Sciences, University of Arkansas, Fayetteville, AR,
USA. 2Interdisciplinary Graduate Program in Cell and Molecular Biology,
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h Competing interests
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https://openalex.org/W1544797161
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https://hal.inria.fr/hal-01402042/document
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English
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Parametric LTL on Markov Chains
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Lecture notes in computer science
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cc-by
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To cite this version: Souymodip Chakraborty, Joost-Pieter Katoen. Parametric LTL on Markov Chains. 8th IFIP Inter-
national Conference on Theoretical Computer Science (TCS), Sep 2014, Rome, Italy. pp.207-221,
10.1007/978-3-662-44602-7_17. hal-01402042 Distributed under a Creative Commons Attribution 4.0 International License Souymodip Chakraborty and Joost-Pieter Katoen⋆ RWTH Aachen University, Ahornstraße 55, D-52074 Aachen, Germany Abstract. This paper is concerned with the verification of finite Markov
chains against parametrized LTL (pLTL) formulas. In pLTL, the until-
modality is equipped with a bound that contains variables; e.g., ♦⩽x ϕ
asserts that ϕ holds within x time steps, where x is a variable on natural
numbers. The central problem studied in this paper is to determine the
set of parameter valuations V≺p(ϕ) for which the probability to satisfy
pLTL-formula ϕ in a Markov chain meets a given threshold ≺p, where
≺is a comparison on reals and p a probability. As for pLTL determin-
ing the emptiness of V>0(ϕ) is undecidable, we consider several logic
fragments. We consider parametric reachability properties, a sub-logic
of pLTL restricted to next and ♦⩽x, parametric B¨uchi properties and
finally, a maximal subclass of pLTL for which emptiness of V>0(ϕ) is
decidable. ⋆Currently on sabbatical leave at the University of Oxford, United Kingdom. HAL Id: hal-01402042
https://inria.hal.science/hal-01402042v1
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Introduction Verifying a finite Markov chain (MC, for short) M against an LTL-formula ϕ
amounts to determining the probability that M satisfies ϕ, i.e., the likelihood
of the set of infinite paths of M satisfying ϕ. Vardi [1] considered the qualita-
tive version of this problem, that is, does M almost surely satisfy ϕ, or with
positive probability. Together with Wolper, he showed that the qualitative LTL
model-checking problem for MCs is PSPACE-complete. The quantitative veri-
fication problem – what is the probability of satisfying ϕ? – has been treated
by Courcoubetis and Yannakakis [2]. An alternative algorithm that has a time
complexity which is polynomial in the size of the MC and exponential in |ϕ| is
by Couvreur et al. [3]. Recently, practical improvements have been obtained by
Chatterjee et al. for verifying the LTL(F,G)-fragment on MCs using generalized
deterministic Rabin automata [4]. This paper considers the verification of MCs against parametric LTL formu-
las. In parametric LTL [5] (pLTL, for short), temporal operators can be sub-
scripted by a variable ranging over the natural numbers. The formula ♦⩽x a
means that in at most x steps a occurs, and □♦⩽y a means that at every index
a occurs within y steps. Note that x and y are variables whose value is not fixed
in advance. The central question is now to determine the values of x and y such
that the probability of a given MC satisfying the pLTL-formula ϕ meets a cer-
tain threshold p. This is referred to as the valuation set V≺p(ϕ) for comparison 2 operator ≺. This problem has both a qualitative (threshold > 0 and = 1) and a
quantitative variant (0 < p < 1). operator ≺. This problem has both a qualitative (threshold > 0 and = 1) and a
quantitative variant (0 < p < 1). The main results of this paper are as follows. Just as for the setting with
Kripke structures [5], it is shown that checking the emptiness of V>0(ϕ) in gen-
eral is undecidable. We therefore resort to fragments of pLTL. We show that
determining V⩾p(♦⩽x a) can be done by searching in a range defined by the
precision of the input, whereas polynomial time graph algorithms suffice for its
qualitative variant. The same applies to formulas of the form □♦⩽x a. 1
Introduction We pro-
vide necessary and sufficient criteria for checking the emptiness of V>0(ϕ) (and
V=1(ϕ)) for the fragments pLTL(F,X) and pLTL♦, and prove that checking these
criteria are NP-complete and PSPACE-complete, respectively. We also define a
representation of these sets and provide algorithms to construct them. Related work. The verification of parametric probabilistic models in which cer-
tain transition probabilities are given as parameters (or functions thereof) has
recently received considerable attention. Most of these works are focused on pa-
rameter synthesis: for which parameter instances does a given (LTL or PCTL)
formula hold? To mention a few, Han et al. [6] considered this problem for timed
reachability in continuous-time MCs, Hahn et al. [7] and Pugelli et al. [8] for
Markov decision processes (MDPs), and Benedikt et al. [9] for ω-regular prop-
erties of interval MCs. Hahn et al. [10] provide an algorithm for computing the
rational function expressing the probability of reaching a given set of states in
a parametric (reward) MDP based on exploiting regular expressions as initially
proposed by Daws [11]. Other related work includes the synthesis of loop invari-
ants for parametric probabilistic programs [12]. To the best of our knowledge,
verifying parametric properties on MCs has not been considered so far. The
closest related works are on combining two-variable FO with LTL for MDPs by
Benedikt et al. [13] and the computation of quantiles by Ummels and Baier [14]. Organization of the paper. Section 2 presents pLTL and MCs and a first un-
decidability result. Section 3 considers parametric reachability. Section 4 treats
the fragment pLTL(F,X) and Section 5 parametric B¨uchi properties. Section 6
treats the bounded always-free fragment of pLTL. Section 7 concludes the paper. Full version of the paper can be found in the archive. 2
Preliminaries Parametric LTL. Parametric LTL extends propositional LTL with bounded tem-
poral modalities, for which the bound is either a constant or a variable. Let Var
be a finite set of variables ranged over by x, y, and AP be a finite set of propo-
sitions ranged over by a and b. Let c ∈IN. Parametric LTL formulas adhere to
the following syntax: ϕ ::= a | ¬ϕ | ϕ ∧ϕ | ⃝ϕ | ϕ U ϕ | ♦≺x ϕ | ♦≺c ϕ where ≺∈{ =, ⩽, <, >, ⩾}. A pLTL structure is a triple (w, i, v) where w ∈Σω
with Σ = 2AP is an infinite word over sets of propositions, i ∈IN is an index, and 3 v : Var →IN is a variable valuation. Analogously, we consider a valuation v as
a vector in Nd, where d for pLTL formula ϕ is the number of variables occurring
in ϕ. E.g. for d = 1, the valuation is just a number v. We compare valuations v
and v ′ as v ⩽v ′ iffv(x) ⩽v ′(x) for all x. Let w[i] denote the i-th element of w. The satisfaction relation |= is defined by structural induction over ϕ as follows: (w, i, v) |= a
iffa ∈w[i]
(w, i, v) |= ¬ ϕ
iff(w, i, v) ̸|= ϕ
(w, i, v) |= ϕ1 ∧ϕ2 iff(w, i, v) |= ϕ1 and (w, i, v) |= ϕ2
(w, i, v) |= ♦≺x ϕ
iff(w, j, v) |= ϕ for some j ≺v(x)+i. (w, i, v) |= a
iffa ∈w[i]
(w, i, v) |= ¬ ϕ
iff(w, i, v) ̸|= ϕ
(w, i, v) |= ϕ1 ∧ϕ2 iff(w, i, v) |= ϕ1 and (w, i, v) |= ϕ2
(w, i, v) |= ♦≺x ϕ
iff(w, j, v) |= ϕ for some j ≺v(x)+i. For the sake of brevity, we have omitted the semantics of the standard LTL
modalities. As usual, ϕ1 R ϕ2 ≡¬(¬ϕ1 U ¬ϕ2), ♦ϕ ≡true U ϕ and □ϕ ≡¬♦¬ϕ. The language of ϕ is defined by L(ϕ) = {(w, v) | (w, 0, v) |= ϕ}. Alur et al. [5]
have shown that other modalities such as U⩽x, ♦>x, □>x, U>x, R ⩽x and R >x,
can all be encoded in our syntax. 2
Preliminaries In particular, we will focus on the decidability and complexity of the
emptiness problem for V≺p(ϕ), i.e., the decision problem whether V≺p(ϕ) = ∅
or not, on algorithms (if any) determining the set V≺p(ϕ), and on the size of the
minimal representation of V≺p(ϕ). In the qualitative setting, the bound ≺p is
either > 0, or = 1. Proposition 1. For ϕ ∈pLTL, the problem if V>0(ϕ) = ∅is undecidable. Proposition 1. For ϕ ∈pLTL, the problem if V>0(ϕ) = ∅is undecidable. Proof. The proof is based on [5, Th. 4.1], see the archived version for details. ■ It follows that deciding whether V=1(ϕ) = ∅is undecidable, as V>0(ϕ) = ∅iff
V=1(¬ϕ) ̸= ∅. As a combination of ♦⩽x and □⩽x modalities can encode U=x,
e.g., ¬a ∧⃝(¬a U=x a) ≡⃝(¬a U⩽x a) ∧(¬a U>x a), we will restrict ourselves to fragments of pLTL where each formula is in negative
normal form and the only parametrized operator is ♦⩽x ϕ. We refer to this
fragment as pLTL♦: we will restrict ourselves to fragments of pLTL where each formula is in negative
normal form and the only parametrized operator is ♦⩽x ϕ. We refer to this
fragment as pLTL♦: ϕ ::= a | ¬a | ϕ∧ϕ | ϕ∨ϕ | ⃝ϕ | ϕ U ϕ | ϕ R ϕ | □ϕ | ♦⩽x ϕ | ♦⩽c ϕ | □⩽c ϕ. (2) ϕ ::= a | ¬a | ϕ∧ϕ | ϕ∨ϕ | ⃝ϕ | ϕ U ϕ | ϕ R ϕ | □ϕ | ♦⩽x ϕ | ♦⩽c ϕ | □⩽c ϕ. (2) We show it is a sub-logic of pLTL for which the emptiness problem for V>0(ϕ)
is decidable. The logic has a favourable monotonicity property, i.e., Remark 1. For every pLTL♦-formula ϕ, infinite word w and valuations v, v ′,
v ⩽v ′ implies (w, v) |= ϕ =⇒(w, v ′) |= ϕ. Here (w, v) |= ϕ is s shorthand for (w, 0, v) |= ϕ. We start offwith briefly consid-
ering (only) parametric eventualities and then consider the sub-logic pLTL(F,X)
restricted to next and ♦x. Later on, we also consider parametric B¨uchi formulas,
and finally, pLTL♦. 2
Preliminaries For instance, the following equivalences hold: ♦>x ϕ ≡□⩽x ♦⃝ϕ,
□>x ϕ ≡♦⩽x □⃝ϕ,
ϕ U⩽x ψ ≡(ϕ U ψ) ∧♦⩽x ψ,
ϕ U>x ψ ≡□⩽x (ϕ ∧⃝(ϕ U ψ))
(1) (1) In the remainder of this paper, we focus on bounded always and eventualities
where all bounds are upper bounds. We abbreviate ♦⩽x by ♦x and do similar
for the other modalities. For valuation v and pLTL-formula ϕ, let v(ϕ) denote
the LTL formula obtained from ϕ by replacing variable x by its valuation v(x);
e.g., v(♦x ϕ) equals ♦v(x) v(ϕ). Markov chains. A discrete-time Markov chain M is a quadruple (S, P, s0, L)
where S is a finite set of states with m = |S|, P : S × S →[0, 1] is a stochastic
matrix, s0 ∈S an initial state, and L : S →2AP a state-labeling function. P(u, v)
denotes the one-step probability of moving from state u to v. A trajectory (or
path) of a Markov chain (MC, for short) M is a sequence { si }i⩾0 such that
P(si, si+1) > 0 for all i ⩾0. A trajectory π = s0s1s2 . . . induces the trace
trace(π) = L(s0)L(s1)L(s2) . . .. Let Paths(M) denote the set of paths of MC M. A path π satisfies the pLTL-formula ϕ under the valuation v, denoted π |= v(ϕ),
whenever (trace(π), 0, v) |= ϕ (or equivalently, (trace(π), v) ∈L(ϕ)). A finite
path (or path fragment) satisfies a formula under a valuation if any infinite
extension of it also satisfies the formula. Let Pr be the probability measure on
sets of paths, defined by a standard cylinder construction [1]. The probability of
satisfying ϕ by M under valuation v is given by Pr{ π ∈Paths(M) | π |= v(ϕ) },
generally abbreviated as Pr(M |= v(ϕ)). Valuation set. The central problem addressed in this paper is to determine the
valuation set of a pLTL formula ϕ. Let M be an MC, p ∈[0, 1] a probability
bound, and ≺∈{ =, ⩽, <, >, ⩾}. Then we are interested in determining: V≺p(ϕ) = { v | Pr(M |= v(ϕ)) ≺p }, 4 i.e., the set of valuations under which the probability of satisfying ϕ meets the
bound ≺p. 3
Parametric Reachability In this section, we consider pLTL-formulas of the form ♦x a for proposition a,
or equivalently, ♦x T for the set of target states T = { s ∈S | a ∈L(s) }. We
consider bounds of the form ⩾p with 0 < p < 1. The valuation set of interest
is thus V⩾p(♦x a). Let µi be the probability of reaching T within i steps; the
sequence {µi} is ascending. There can be two cases: (a) the sequence reaches a
constant value in m steps (m being the size of Markov chain) or (b) the sequence
monotonically increases and converges to µ∞. This makes the emptiness problem
for V⩾p(♦x a) decidable. In the first case, we check µm ⩾p. In the second case,
emptiness is decidable in time polynomial in m, by determining µ∞= Pr(♦a)
which can be done by solving a system of linear equations with at most m
variables. Then, V⩾p(♦x a) ̸= ∅iffp < µ∞. 5 Assume in the sequel that T is non-empty. Let min V⩾p(♦x a) = n0. The
valuation set can thus be represented by n0 (this gives a minimal representation
of the set). Membership queries, i.e., does n ∈V⩾p(♦x a), then simply boil down
to checking whether n0 ⩽n, which can be done in constant time (modulo the
size of n0). The only catch is that n0 can be very large if p is close to µ∞. A
simple example elucidates this fact. Example 1. Consider the MC M with S = { s0, t }, L(t) = { a }, L(s0) = ∅,
P(s0, s0) = 1
2 = P(s0, t) and P(t, t) = 1. Then Pr(M |= ♦n a) = 1 −
1
2
n. It
follows that min V⩾p(♦x a) goes to infinity when p approaches one. The following bound on n0 can nonetheless be provided. This bound allows for
obtaining the minimum value n0 by a binary search. Proposition 2. For MC M, min V⩾p(♦xa) ⩽logγ(1−(1−γ) p
b ), where 0 < γ <
1 and b > 0. Proof. Collapse all a-states into a single state t and make it absorbing (i.e.,
replace all outgoing transitions by a self-loop with probability one). Let t be the
only bottom strongly connected component (BSCC) of M (other BSCCs can be
safely ignored). Let {1, . . . Proof. The problem is the same as reachability in directed graphs. Proposition 4. The sets V>0(♦x a) and V=1(♦x a) can be determined in poly-
nomial time by a graph analysis of MC M. Proposition 4. The sets V>0(♦x a) and V=1(♦x a) can be determined in poly-
nomial time by a graph analysis of MC M. Proof. Collapse all the a-states into a target state t and make t absorbing. If
V>0(♦x a) is non-empty, it suffices to determine min V>0(♦x a) which equals the
length of a shortest path from s0 to t. To determine whether V=1(♦x a) is empty
or not, we proceed as follows. If a cycle without t is reachable from s0, then no
finite n exists for which the probability of reaching t within n steps equals one. Thus, V=1(♦x a) = ∅. If this is not the case, then the graph of M is a DAG
(apart from the self-loop at t), and min V=1(♦x a) equals the length of a longest
path from s0 to t. ■ 4
The Fragment pLTL(F,X) This section considers the fragment pLTL(F,X) which is defined by: ϕ ::= a | ¬a | ϕ ∧ϕ | ϕ ∨ϕ | ⃝ϕ | ♦ϕ | ♦⩽x ϕ | ♦⩽c ϕ Our first result is a necessary and sufficient condition for the emptiness of V>0(ϕ). Theorem 1. For ϕ ∈pLTL(F,X) and MC M with m states, V>0(ϕ) ̸= ∅iff¯v ∈
V>0(ϕ) with ¯v(x) = m·|ϕ|. Theorem 1. For ϕ ∈pLTL(F,X) and MC M with m states, V>0(ϕ) ̸= ∅iff¯v ∈
V>0(ϕ) with ¯v(x) = m·|ϕ|. Proof. Let ϕ be a pLTL(F,X)-formula and assume V>0(ϕ) ̸= ∅. By monotonicity,
it suffices to prove that v ∈V>0(ϕ) with v ̸⩽¯v implies ¯v ∈V>0(ϕ). The proof
proceeds in a number of steps. (1) We show that it suffices to consider formulas
without disjunction. (2) We show that if path fragment π[0..l] |= ¯ϕ, (where
LTL(F,X)-formula ¯ϕ is obtained from ϕ by omitting all parameters from ϕ)
then π[0..l] |= v l(ϕ) with v l(x) = l for every x. (3) We construct a deterministic
B¨uchi automaton (DBA) A ¯ϕ for ¯ϕ such that its initial and final state are at
most | ¯ϕ| transitions apart. (4) We show that reachability of a final state in the
product of MC M and DBA A ¯ϕ implies the existence of a finite path in M of
length at most m·|ϕ| satisfying ¯ϕ. 1. As disjunction distributes over ∧,⃝
⃝
⃝, ♦, and ♦x, each formula can be written
in disjunctive normal form. Let ϕ ≡ϕ1∨. . .∨ϕk, where each ϕi is disjunction-
free. Evidently, |ϕi| ⩽|ϕ|. Assume v ∈V>0(ϕ). Then, v ∈V>0(ϕi) for some
0 < i ⩽k. Assuming the theorem holds for ϕi (this will be proven below),
¯v i ∈V>0(ϕi) with ¯v i(x) = |ϕi|·m. Since ¯v ⩾¯v i, it follows by monotonicity
that ¯v ∈V>0(ϕi), and hence, ¯v ∈V>0(ϕ). It thus suffices in the remainder
of the proof to consider disjunction-free formulas. 1. As disjunction distributes over ∧,⃝
⃝
⃝, ♦, and ♦x, each formula can be written
in disjunctive normal form. Let ϕ ≡ϕ1∨. . .∨ϕk, where each ϕi is disjunction-
free. Evidently, |ϕi| ⩽|ϕ|. Assume v ∈V>0(ϕ). Then, v ∈V>0(ϕi) for some
0 < i ⩽k. Assuming the theorem holds for ϕi (this will be proven below),
¯v i ∈V>0(ϕi) with ¯v i(x) = |ϕi|·m. Since ¯v ⩾¯v i, it follows by monotonicity
that ¯v ∈V>0(ϕi), and hence, ¯v ∈V>0(ϕ). 3
Parametric Reachability , m} be the states of the modified MC M, with the
initial state s0 and the target state t represented by 1 and m, respectively. Let
Q be the (m−1) × (m−1) transition matrix of the modified MC without the
state t. That is, Q(i, j) = P(i, j) iffj ̸= m where P is the transition probability
matrix of M. We have the following observation: 1. Let the coefficient of ergodicity τ(Q) of Q defined as τ(Q) = 1 −min
i,j
X
k
min{Q(i, k), Q(j, k)}
! . As Q is sub-stochastic and no row of Q is zero, it follows 0 < τ(Q) < 1. T As Q is sub-stochastic and no row of Q is zero, it follows 0 < τ(Q) < 1. T 2. Let vector rT = (r1, . . . , rm−1) with ri = P(i, m), rmax be the maximum
element in r and iT be (1, 0, . . . , 0). The probability of reaching the state m
from the state 1 in at most n+1 steps is the probability of being in some
state i < m within n steps and taking the next transition to m: µn+1 =
n+1
X
j=0
iT Qjr ⩽
n+1
X
j=0
τ(Q)jrmax. Let τ(Q) = γ and rmax = b. The integer n0 is the smallest integer such that
µn0 ⩾p, which implies that b· 1−γn0
1−γ
⩾p. This yields n0 ⩽logγ(1 −(1 −γ) p
b ). ■ Let τ(Q) = γ and rmax = b. The integer n0 is the smallest integer such that
µn0 ⩾p, which implies that b· 1−γn0
1−γ
⩾p. This yields n0 ⩽logγ(1 −(1 −γ) p
b ). ■ As in the non-parametric setting, it follows that (for finite MCs) the valuation
sets V>0(♦x a) and V=1(♦x a) can be determined by a graph analysis, i.e. no
inspection of the transition probabilities is necessary for qualitative parametric
reachability properties. 6 Proposition 3. The problem V>0(♦x a) = ∅is NL-complete. Proposition 3. The problem V>0(♦x a) = ∅is NL-complete. Proposition 3. The problem V>0(♦x a) = ∅is NL-complete. ■ Proof. The problem is the same as reachability in directed graphs. 4
The Fragment pLTL(F,X) It thus suffices in the remainder
of the proof to consider disjunction-free formulas. 7 2. For pLTL(F,X)-formula ϕ, let ¯ϕ be the LTL(F,X)-formula obtained from
ϕ by replacing all occurrences of ♦x by ♦, e.g., for ϕ = ♦x(a ∧♦yb), ¯ϕ =
♦(a ∧♦b). We claim that π[0...l] |= ¯ϕ implies π[0...l] |= v l(ϕ) with v l(x) = l
for all x. This is proven by induction on the structure of ϕ. The base cases
a and ¬a are obvious. For the induction step, conjunctions, ⃝ϕ and ♦ϕ are
straightforward. It remains to consider ♦x ϕ. Assume π[0...l] |= ♦¯ϕ. Thus,
for some i ⩽l, π[i...l] |= ¯ϕ. By induction hypothesis, π[i...] |= v il(ϕ) with
v il(y) = l−i for each variable y in ϕ. Thus, π[0..l] |= v l(♦x ϕ) with v l(x) = l
and for all y in ϕ, v l(y) = l. y
ϕ,
l(y)
3. We provide a DBA A ¯ϕ = ⟨Q, Σ, δ, q0, F⟩with Σ = 2AP for each LTL(F,X)-
formula ¯ϕ using the construction from [15]. We first treat ¯ϕ = a and ¯ϕ = ♦a. As every LTL(F,X)-formula can be obtained from ♦(a∧ϕ), ϕ1∧ϕ2 and ⃝ϕ,
we then treat these inductive cases. (Negations are treated similarly.) For
¯ϕ = a, Aa = ⟨{ q0, q1 }, Σ, δ, q0, { q1 }⟩with δ(q0, a) = q1 and δ(q1, true) = q1. For ¯ϕ = ♦a , the DBA A♦a = ⟨{ q0, q1 }, Σ, δ, q0, { q1 }⟩, where δ(q0, a) = q1,
δ(q0, ¬a) = q0 and δ(q1, true) = q1. This completes the base cases. For the
three inductive cases, the DBA is constructed as follows. (a) Let A ¯ϕ = ⟨Q, Σ, δ, q0, F⟩. A♦(a∧¯ϕ) = ⟨Q ∪{ q′
0 }, Σ, δ′, q′
0, F⟩where q′
0 is
fresh, δ′(q, ·) = δ(q, ·) if q ∈Q, δ′(q′
0, a) = δ(q0, a), and δ′(q′
0, ¬a) = q′
0. (b) F
¯ ∧¯
th
DBA i
t
d
d
h
d
t
f th
DBA (a) Let A ¯ϕ = ⟨Q, Σ, δ, q0, F⟩. A♦(a∧¯ϕ) = ⟨Q ∪{ q′
0 }, Σ, δ′, q′
0, F⟩where q′
0 is
fresh, δ′(q, ·) = δ(q, ·) if q ∈Q, δ′(q′
0, a) = δ(q0, a), and δ′(q′
0, ¬a) = q′
0. 4
The Fragment pLTL(F,X) (b) For ¯ϕ1 ∧¯ϕ2, the DBA is a standard synchronous product of the DBA
for ¯ϕ1 and ¯ϕ2 fresh, δ′(q, ·) = δ(q, ·) if q ∈Q, δ′(q′
0, a) = δ(q0, a), and δ′(q′
0, ¬a) = q′
0. (b) For ¯ϕ1 ∧¯ϕ2, the DBA is a standard synchronous product of the DBA
for ¯ϕ1 and ¯ϕ2. (c) Let A ¯ϕ = ⟨Q, Σ, δ, q0, F⟩. A⃝¯ϕ = ⟨Q ∪{ q′
0 }, Σ, δ′, q′
0, F⟩where q′
0 is
fresh, δ′(q′
0, a) = q0 for all a ∈Σ and δ′(q, a) = δ(q, a) for every q ∈Q. A few remarks are in order. The resulting DBA have a single final state. In addition, the DBA enjoy the property that the reflexive and transitive
closure of the transition relation is a partial order [15]. Formally, q ⪯q′ iff
q′ ∈δ∗(q, w) for some w ∈Σω. The diameter of A ¯ϕ is the length of a longest
simple path from the initial to the final state. This implies that the diameter
of A♦(a∧¯ϕ) and A⃝¯ϕ is n+1 where n is this diameter of A ¯ϕ, and the diameter
of A ¯ϕ1∧¯ϕ2 is n1 + n2 where ni is the diameter of A ¯ϕi, i ∈{ 1, 2 }. ϕ1
ϕ2
ϕi
{
}
4. Let ϕ ≡ϕ1 ∨. . . ∨ϕk, where each ϕi is disjunction-free, with DBA A ¯ϕi. Evidently, V>0(ϕ) ̸= ∅iffV>0(ϕi) ̸= ∅for some disjunct ϕi. Consider the
product of MC M and DBA A ¯ϕi, denoted M ⊗A ¯ϕi; see, e.g., [16, Def. 10.50]. By construction, M ⊗A ¯ϕi is partially ordered and has diameter at
most m·|ϕi|. We have that Pr(M |= ¯ϕi) > 0 iffan accepting state in M ⊗
A ¯ϕi is reachable. Thus, there exists a finite path π[0..m·|ϕi|] in M with
π[0..m·|ϕi|] |= ¯ϕ, or, π[0..m·|ϕ|] |= ¯v(ϕ). This concludes the proof. M ⊗A ¯ϕi can also be used to show that, if we have a valuation v such that
v(x) > m·|ϕ| and for all other variables y ̸= x, v(x) ⩽m·|ϕ| and v ∈V>0(ϕ)
then v ′ ∈V>0(ϕ), where v ′(x) = m·|ϕ| and for y ̸= x, v ′(y) = v(y). The
argument proceeds as induction on ¯ϕi. ■ The above Theorem 1 leads to the following proposition. The above Theorem 1 leads to the following proposition. Proposition 5. 4
The Fragment pLTL(F,X) For ϕ ∈pLTL(F,X), deciding if V>0(ϕ) = ∅is NP-complete. For almost sure properties, a similar approach as for V>0(ϕ) suffices. For almost sure properties, a similar approach as for V>0(ϕ) suffices. 8 Theorem 2.For ϕ ∈pLTL(F,X) and MC M with m states, V=1(ϕ) ̸= ∅iff¯v ∈
V=1( ¯ϕ) with ¯v(x) = m·|ϕ|. Theorem 2.For ϕ ∈pLTL(F,X) and MC M with m states, V=1(ϕ) ̸= ∅iff¯v ∈
V=1( ¯ϕ) with ¯v(x) = m·|ϕ|. Proof. Consider the direction from left to right. The argument goes along similar
lines as the proof of Theorem 1. We build the DBA A ¯ϕ for ¯ϕ and take the cross
product with Markov chain M. There are m·|ϕ| state in the cross product. If
Pr(M |= ¯v(ϕ)) < 1 then there is some cycle in the cross product that does not
contain the final state. Thus, V=1(ϕ) is empty. ■ Theorem 1 suggests that min V>0(ϕ) lies in the hyper-cube H = { 0, . . . , N }d,
where N = m·|ϕ|. A possible way to find min V>0(ϕ) is to apply the bisection
method in d-dimensions. We recursively choose a middle point of the cube, say
v ∈H —in the first iteration v(x) = N/2— and divide H in 2d equally sized
hypercubes. If v ∈V>0(ϕ), then the hypercube whose points exceed v is dis-
carded, else the cube whose points are below v is discarded. The asymptotic
time-complexity of this procedure is given by the recurrence relation: T(k) = (2d −1) · T(k·2−d) + F
(3) (3) where k is the number of points in the hypercube and F is the complexity of
checking v ∈V>0(ϕ) where |v| ⩽N. Section 6 presents an algorithm working
in O(m·N d·2|ϕ|) for a somewhat more expressive logic. From (3), this yields a
complexity of O(m·N d·2|ϕ|· log N). The size of a set of minimal points can be
exponential in the number of variables, as shown below. Proposition 6. | min V>0(ϕ)| ⩽(N·d)d−1. Proposition 6. | min V>0(ϕ)| ⩽(N·d)d−1. Proposition 6. | min V>0(ϕ)| ⩽(N·d)d−1. 5
Qualitative Parametric B¨uchi In this section, we consider pLTL-formulas of the form ϕ = □♦x a, for proposi-
tion a. We are interested in V>0(ϕ), i.e., does the set of infinite paths visiting
a-states that are maximally x apart infinitely often, have a positive measure? Let
MC M = (S, P, s0, L). A bottom strongly-connected component (BSCC) B ⊆S
of M is a set of mutually reachable states with no edge leaving B. For BSCC B,
let na,B = max{ |π| | ∀i ⩽|π|, π[i] ∈B ∧a /∈L(π[i]) }. Proposition 8. Let B be a BSCC and s ∈B. Then, ∀n ∈N, n > na,B ⇔
Pr(s |= □♦n a) = 1 and n ⩽na,B ⇔Pr(s |= □♦n a) = 0. Proof. If n > na,B, then each path π from any state s ∈B will have at least one
a-state in finite path fragment π[i, . . . , i+n] for all i. Hence, Pr(s |= □♦n a) = 1. If n ⩽na,B, then there exists a finite path fragment ρ of B, such that, for
all i ⩽n, a /∈L(ρ[i]). Consider an infinite path π starting from any arbitrary
s ∈B. As s ∈B, π will almost surely infinitely often visit the initial state of ρ. Therefore, by [16, Th.10.25], π will almost surely visit every finite path fragment
starting in that state, in particular ρ. Path π thus almost surely refutes □♦n a,
i.e. Pr(s |= □♦n a) = 0. ■ Proof. If n > na,B, then each path π from any state s ∈B will have at least one
a-state in finite path fragment π[i, . . . , i+n] for all i. Hence, Pr(s |= □♦n a) = 1. If n ⩽na,B, then there exists a finite path fragment ρ of B, such that, for
all i ⩽n, a /∈L(ρ[i]). Consider an infinite path π starting from any arbitrary
s ∈B. As s ∈B, π will almost surely infinitely often visit the initial state of ρ. Therefore, by [16, Th.10.25], π will almost surely visit every finite path fragment
starting in that state, in particular ρ. Path π thus almost surely refutes □♦n a,
i.e. Pr(s |= □♦n a) = 0. ■ For any BSCC B and □♦x a, na,B < ∞iffevery cycle in B has at least one
a-state. Hence, na,B can be obtained by analysing the digraph of B (in O(m2),
the number of edges). 4
The Fragment pLTL(F,X) r
b
r
b
r
b
r
b
g
x1
x2
x3
5
10
14
5
9
15
5
8
16
5
7
17
4
11
15
4
10
16
4
9
17
4
8
18
x1
x2
x3
3
10
16
3
11
17
3
10
18
3
9
19
2
13
17
2
12
18
2
11
19
2
10
20
Fig. 1. MC and min V>0(ϕ) for pLTL(F,X)-formula ϕ = ♦x1 r ∧♦x2 b ∧♦x3 g Fig. 1. MC and min V>0(ϕ) for pLTL(F,X)-formula ϕ = ♦x1 r ∧♦x2 b ∧♦x3 g Example 2. There exist MCs for which | min V>0(ϕ)| grows exponentially in d,
the number of parameters in ϕ, whereas the number m of states in the MC grows
linearly in d. For instance, consider the MC M in Fig. 1 and ϕ = ♦x1 r ∧♦x2 b ∧
♦x3 g, i.e., d=3. We have | min V>0(ϕ)| = 42 as indicated in the table. Example 2. There exist MCs for which | min V>0(ϕ)| grows exponentially in d,
the number of parameters in ϕ, whereas the number m of states in the MC grows
linearly in d. For instance, consider the MC M in Fig. 1 and ϕ = ♦x1 r ∧♦x2 b ∧
♦x3 g, i.e., d=3. We have | min V>0(ϕ)| = 42 as indicated in the table. We conclude this section by briefly considering the membership query: does
v ∈V>0(ϕ) for pLTL(F,X)-formula ϕ with d parameters? Checking membership We conclude this section by briefly considering the membership query: does
v ∈V>0(ϕ) for pLTL(F,X)-formula ϕ with d parameters? Checking membership 9 of a valuation v ∈V>0(ϕ) boils down to deciding whether there exists a v ′ ∈
min V>0(ϕ) such that v ⩾v ′. A representation of min V>0(ϕ) facilitating an
efficient membership test can be obtained by putting all elements in this set in
lexicographical order. This involves sorting over all d coordinates. A membership
query then amounts to a recursive binary search over d dimensions. This yields: Proposition 7. For pLTL(F,X)-formula ϕ, v ∈V>0(ϕ)? takes O(d· log N·d)
time, provided a representation of min V>0(ϕ) is given. 1 The modalities ♦⩽c and □⩽c can be removed with only quadratic blow up. 5
Qualitative Parametric B¨uchi BSCC B is called accepting for □♦x a if na,B < ∞and
B is reachable from the initial state s0. Note that this may differ from being an
accepting BSCC for □♦a. Evidently, V>0(□□□♦x a) ̸= ∅iffna,B < ∞. This result
can be extended to generalized B¨uchi formula ϕ = □♦x1 a1 ∧. . . ∧□♦xd ad, by
checking nai,B < ∞for each ai. ,
As a next problem, we determine min V>0(□♦x a). For the sake of simplicity,
let MS M have a single accepting BSCC B. For states s and t in MC M, let
d(s, t) be the distance from s to t in the graph of M. (Recall, the distance between
state s and t is the length of the shortest path from s to t.) For BSCC B, let
da,B(s) = mint∈B,a∈L(t) d(s, t), i.e., the minimal distance from s to an a-state in
B. Let the proposition aB hold in state s iffs ∈B and a ∈L(s). Let Ga = (V, E)
be the digraph defined as follows: V contains all a-states of M and the initial
state s0 and (s, s′) ∈E iffthere is path from s to s′ in M. Let c be a cost function
defined on a finite path s0 . . . sn in graph Ga as: c(s0 . . . sn) = maxi d(si, si+1),
(d is defined on the graph of M). Using these auxiliary notions we obtain the
following characterization for min V>0(□♦x a): 10
π=s0...sn,sn|=aB
if na,B < da,B(s0) and n0 = na,B otherwise. Proof. We show for n ⩾n0, Pr(□♦n a) > 0, and for n < n0, Pr(□♦n a) = 0. Distinguish: if na,B < da,B(s0) and n0 = na,B otherwise. if na,B < da,B(s0) and n0 = na,B otherwise. if na,B < da,B(s0) and n0 = na,B otherwise. Proof. We show for n ⩾n0, Pr(□♦n a) > 0, and for n < n0, Pr(□♦n a) = 0. Distinguish: if na,B < da,B(s0) and n0
na,B otherwise. Proof. We show for n ⩾n0, Pr(□♦n a) > 0, and for n < n0, Pr(□♦n a) = 0. Distinguish: Proof. We show for n ⩾n0, Pr(□♦n a) > 0, and for n < n0, Pr(□♦n a) = 0. Distinguish: 1. na,B ⩾da,B(s0). Then, from s0 an a-state in B can be reached within na,B
steps, i.e., Pr(s0 |= ♦na,B aB) > 0. 5
Qualitative Parametric B¨uchi In the former case, it follows
(as in the first case) by Proposition 8 that Pr(s0 |= □♦n a) = 0 for all
n ⩾n0. Consider now n0 = cmin ⩾na,B. Let n < n0. By contra-position. Assume Pr(s0 |= □♦n a) > 0. Let π = s0 . . . s1,a . . . s2,a . . . . . . sk,a be a finite
path fragment in M where si,a |= a and sk,a is the first a-state along π
which belongs to B. Then, by definition of the digraph Ga, the sequence
π = s0s1,as2,a . . . sk,a is a path in Ga satisfying c(si,a, si+1,a) ⩽n for all
0 ⩽k < n. But then cmin ⩽n. Contradiction. ■ If MC M has more than one accepting BSCC, say { B1, . . . , Bk } with k > 1,
then n0 = mini n0,Bi, where n0,Bi for 0 < i ⩽k is obtained as in Theorem 3. If MC M has more than one accepting BSCC, say { B1, . . . , Bk } with k > 1,
then n0 = mini n0,Bi, where n0,Bi for 0 < i ⩽k is obtained as in Theorem 3. Proposition 9. The sets V>0(□♦x a) and V=1(□♦x a) can be determined in
polynomial time by a graph analysis of MC M. Determining min V⩾p(□♦x a) for arbitrary p reduces to reachability of accepting
BSCCs. In a similar way as for parametric reachability (cf. Section 3), this can
be done searching. For generalized B¨uchi formula ϕ = □♦xi ai ∧. . . ∧□♦xd ad
and BSCC B, naiB is at most m. Thus, min V>0(ϕ) ∈{ 0, . . . , m·d }d and can be
found by the bisection method, similar to the procedure described in Section 4. 5
Qualitative Parametric B¨uchi For this aB-state, s, say, by Proposition 8
it follows Pr(s |= □♦na,B a) = 1. Together this yields Pr(s0 |= □♦n a) > 0
for each n ⩾na,B = n0. For n < n0 = na,B, it follows by Proposition 8 that
Pr(s |= □♦n a) = 0 for every aB-state s. Thus, Pr(s0 |= □♦n a) = 0. ( |
)
(
|
)
2. na,B < da,B(s0). As B is accepting, da,B(s0) ̸= ∞. Consider a simple path
π from s0 to an a-state in B. Let c(π) be the maximal distance between two
consecutive a-states along this path. Then it follows Pr(s0 |= □♦k a) > 0
where k = max(c(π), na,B). By taking the minimum cmin over all simple
paths between s0 and B, it follows Pr(s0 |= □♦n a) > 0 for each n ⩾
n0 = max(na,B, cmin) with cmin = minπ∈Paths(s0,♦aB) c(π). For n < n0,
distinguish between n0 = na,B and n0 = cmin. In the former case, it follows
(as in the first case) by Proposition 8 that Pr(s0 |= □♦n a) = 0 for all
n ⩾n0. Consider now n0 = cmin ⩾na,B. Let n < n0. By contra-position. Assume Pr(s0 |= □♦n a) > 0. Let π = s0 . . . s1,a . . . s2,a . . . . . . sk,a be a finite
path fragment in M where si,a |= a and sk,a is the first a-state along π
which belongs to B. Then, by definition of the digraph Ga, the sequence
π = s0s1,as2,a . . . sk,a is a path in Ga satisfying c(si,a, si+1,a) ⩽n for all
0 ⩽k < n. But then cmin ⩽n. Contradiction. ■ 2. na,B < da,B(s0). As B is accepting, da,B(s0) ̸= ∞. Consider a simple path
π from s0 to an a-state in B. Let c(π) be the maximal distance between two
consecutive a-states along this path. Then it follows Pr(s0 |= □♦k a) > 0
where k = max(c(π), na,B). By taking the minimum cmin over all simple
paths between s0 and B, it follows Pr(s0 |= □♦n a) > 0 for each n ⩾
n0 = max(na,B, cmin) with cmin = minπ∈Paths(s0,♦aB) c(π). For n < n0,
distinguish between n0 = na,B and n0 = cmin. 6
The Fragment pLTL♦ This section is concerned with the logical fragment pLTL♦, as defined in (2): This section is concerned with the logical fragment pLTL♦, as defined in (2): This section is concerned with the logical fragment pLTL♦, as defined in (2):
|
|
|
| ⃝
|
U
|
R
| □
| ♦
1 ϕ ::= a | ¬a | ϕ ∧ϕ | ϕ ∨ϕ | ⃝ϕ | ϕ U ϕ | ϕ R ϕ | □ϕ | ♦⩽x ϕ.1 ϕ ::= a | ¬a | ϕ ∧ϕ | ϕ ∨ϕ | ⃝ϕ | ϕ U ϕ | ϕ R ϕ | □ϕ | ♦⩽x ϕ.1 We will focus on the emptiness problem: is V>0(ϕ) = ∅. The decision problem
whether V=1(ϕ) is very similar. Similar as for pLTL(F,X), we obtain necessary
and sufficient criteria for both cases. The proofs for these criteria depend on an
algorithm that checks whether v ∈V>0(ϕ). This algorithm is presented first. 11 11 Automata constructions. Let ϕ be a pLTL♦-formula, and v a variable valuation. W.l.o.g. we assume that each variable occurs once in ϕ. We will extend the
classical automaton-based approach for LTL by constructing a nondeterministic
B¨uchi automaton for ϕ that is amenable to treat the variables occurring in ϕ. To that end, inspired by [17], we proceed in a number of steps: Automata constructions. Let ϕ be a pLTL♦-formula, and v a variable valuation. W.l.o.g. we assume that each variable occurs once in ϕ. We will extend the
classical automaton-based approach for LTL by constructing a nondeterministic
B¨uchi automaton for ϕ that is amenable to treat the variables occurring in ϕ. To that end, inspired by [17], we proceed in a number of steps: 1. Construct an automaton Gϕ for ϕ, independent from the valuation v, with
two types of acceptance sets, one for treating until and release-modalities
(as standard for LTL [18]), and one for treating the parameter constraints. 2. Establish how for a given valuation v, a B¨uchi automaton Bϕ(v) can be
obtained from Gϕ such that for infinite word w, (w, v) ∈L(ϕ) iffw is an
accepting run of Bϕ(v). 3. Exploit the technique advocated by Couvreur et al. [3] to verify MC M
versus Bϕ(v). We start with constructing Gϕ. Like for the LTL-approach, the first step is to
consider consistent sets of sub-formulas of ϕ. Let cl(ϕ) be the set of all sub-
formulas of ϕ. Proposition 10 ([17]). For ϕ ∈pLTL♦, the automaton Gϕ is unambiguous
and L(Gϕ) = L(ϕ). 6
The Fragment pLTL♦ Set H ⊆cl(ϕ) is consistent, when: – a ∈H iff¬a ̸∈H,
– ϕ2 ∈H implies ϕ1 U ϕ2 ∈H, – a ∈H iff¬a ̸∈H, – ϕ1 ∧ϕ2 ∈H iffϕ1 ∈H and ϕ2 ∈H,
– ϕ1, ϕ2 ∈H implies ϕ1 R ϕ2 ∈H, – ϕ1 ∨ϕ2 ∈H iffϕ1 ∈H or ϕ2 ∈H,
– ϕ1 ∈H implies ♦x ϕ1 ∈H. We are now in a position to define Gϕ, an automaton with two acceptance sets. For ϕ ∈pLTL♦, let Gϕ = (Q, 2AP , Q0, δ, AccB, AccP ) where – Q is the set of all consistent sub-sets of cl(ϕ) and Q0 = { H ∈Q | ϕ ∈H }. A – (H, a, H′) ∈δ, where a ∈2AP whenever: • H ∩AP = { a }, • ⃝ϕ1 ∈H ⇐⇒ϕ1 ∈H′, • ⃝ϕ1 ∈H ⇐⇒ϕ1 ∈H′, • ϕ1 U ϕ2 ∈H ⇐⇒ϕ2 ∈H or (ϕ1 ∈H and ϕ1 U ϕ2 ∈H′),
(
′) • ϕ1 U ϕ2 ∈H ⇐⇒ϕ2 ∈H or (ϕ1 ∈H and ϕ1 U ϕ2 ∈H′), • ♦x ϕ1 ∈H ⇐⇒ϕ1 ∈H or ♦x ϕ1 ∈H′, • ♦x ϕ1 ∈H ⇐⇒ϕ1 ∈H or ♦x ϕ1 ∈H′, • ♦x ϕ1 ∈H ⇐⇒ϕ1 ∈H or ♦x ϕ1 ∈H′, – (generalized) B¨uchi acceptance AccB and parametric acceptance AccP : • AccB = { Fϕ′ | ϕ′ ∈cl(ϕ) ∧(ϕ′ = ϕ1 U ϕ2 ∨ϕ′ = ϕ1 R ϕ2) } where ϕ
∗Fϕ′ = { H | ϕ2 ∈H ⇒ϕ′ ∈H } if ϕ′ = ϕ1 R ϕ
• AccP = { Fxi | ♦xi ϕi ∈cl(ϕ) } with Fxi = { H | ♦xi ϕi ∈H ⇒ϕi ∈H }. A run ρ ∈Qω of Gϕ is accepting under valuation v if it visits each set in
AccB infinitely often and each Fxi ∈AccP in every infix of length v(xi). L(Gϕ)
contains all pairs (w, v) such that there is an accepting run of w under the
valuation v. Gϕ is unambiguous if q
a−→q′ and q
a−→q′′ implies L(q′)∩L(q′′) = ∅,
where L(q) is the language starting from the state q. 12 The automaton Gϕ can be constructed in O(2|ϕ|). Apart from the parametric
acceptance condition, Gϕ behaves as a generalized B¨uchi automaton (GNBA)
with accepting set AccB = { F1, . . . , Fk }. In order to obtain a non-deterministic
automaton, we first apply a similar transformation as for GNBA to NBA [16]. 6
The Fragment pLTL♦ We convert Gϕ to Uϕ = (Q′, 2AP, Q′
0, δ′, Acc′
B, Acc′
P ) where Q′ = Q×{ 1, . . . , k },
Q′
0 = Q0×{ 1 }. If (q, a, q′) ∈δ, then ((q, i), a, (q′, i′)) ∈δ′ with i=i′ if q ̸∈Fi else
i′ = (i mod k)+1. AccB = F1 × { 1 } and Acc′
P = { F ′
xi | Fxi ∈AccP }, where
F ′
xi = Fxi × { 1, . . . , k }. Note that the construction preserves unambiguity and
the size of Uϕ is in O(|ϕ|·2|ϕ|). For a given valuation v, Uϕ can be converted into an NBA Bϕ(v). This is
done as follows. Let Uϕ = (Q′, 2AP , Q′
0, δ′, Acc′
B, Acc′
P ) and v a valuation of ϕ
with d parameters. Then Bϕ(v) = (Q′′, 2AP , Q′′
0, δ′′, Acc) with: – Q′′ ⊆Q′ × {0, . . . , v(x1)} × . . . × {0, . . . , v(xd)},
– ((q, n), a, (q′, n′)) ∈δ′′ if (q, a, q′) ∈δ′ and for all xi:
• if q′ ∈F ′
xi and n(xi) < v(xi) then n′(xi) = 0,
• if q′ /∈F ′
xi and n(xi) < v(xi) then n′(xi) = n(xi) + 1. – Q′′
0 = Q′
0 × 0d and Acc = Acc′
B × {0, . . . , v(x1)} × . . . × {0, . . . , v(xd)}. – Q′′ ⊆Q′ × {0, . . . , v(x1)} × . . . × {0, . . . , v(xd)}, • if q′ ∈F ′
xi and n(xi) < v(xi) then n′(xi) = 0, i
• if q′ /∈F ′
xi and n(xi) < v(xi) then n′(xi) = n(xi) + 1. – Q′′
0 = Q′
0 × 0d and Acc = Acc′
B × {0, . . . , v(x1)} × . . . × {0, . . . , v(xd)}. It follows that Bϕ(v) is unambiguous for any valuation v. Furthermore, every
run of Bϕ(v) is either finite or satisfies the parametric acceptance condition for
valuation v. Thus we have: Proposition 11. An infinite word w ∈L(Bϕ(v)) if and only if (w, v) ∈L(ϕ). Proposition 11. An infinite word w ∈L(Bϕ(v)) if and only if (w, v) ∈L(ϕ). The size of Bϕ(v) is in O(cv·|ϕ|·2|ϕ|) where cv = Q
xi (v(xi) + 1). i
As a next step, we exploit the fact that Bϕ(v) is unambiguous, and apply
the technique by Couvreur et al. [3] for verifying MC M against Bϕ(v). Let
M ⊗Bϕ(v) be the synchronous product of M and Bϕ(v) [16], Π1 the projection
to M and Π2 the projection to Bϕ(v). Let L(s, q) = { π ∈Paths(s) | trace(π) ∈
L(q) } and Pr(s, q) = Pr(L(s, q)). Let Pr(M ⊗Bϕ(v)) = P
q0∈Q0 Pr(s0, q0). As
Bϕ(v) is unambiguous, we have for any (s, q): Pr(s, q) =
X
(t,q′)∈δ(s,q)
P(s, t) · Pr(t, q′), Pr(s, q) =
X
(t,q′)∈δ(s,q)
P(s, t) · Pr(t, q′), where δ is the transition relation of M ⊗Bϕ(v) and P(s, t) is the one-step
transition probability from s to t in MC M. A (maximal) strongly connected
component (SCC, for short) C ⊆S is complete if for any s ∈Π1(C) : Paths(s) =
[
(s,q)∈C
LC(s, q) where LC(s, q) restricts runs to C (runs only visits states from C). The SCC
C is accepting if Acc ∩Π2(C) ̸= ∅(where Acc is the set of accepting states in
Bϕ(v)). 13 Proposition 12 ([3]). Let C be a complete and accepting SCC in M ⊗Bϕ(v). Then for all s ∈Π1(C): Proposition 12 ([3]). Let C be a complete and accepting SCC in M ⊗Bϕ(v). Then for all s ∈Π1(C): Pr
[
(s,q)∈C
LC(s, q)
= 1. Moreover, since Bϕ(v) is unambiguous, Pr(M ⊗Bϕ(v)) > 0 implies there exists
a reachable, complete and accepting SCC. Moreover, since Bϕ(v) is unambiguous, Pr(M ⊗Bϕ(v)) > 0 implies there exists
a reachable, complete and accepting SCC. Finding complete and accepting SCC in M ⊗Bϕ(v) is done by standard
graph analysis. Altogether, v ∈V>0(ϕ) is decided in O(m·cv·|ϕ|·2|ϕ|). The space
complexity is polynomial in the size of the input (including the valuation), as
M ⊗Bϕ(v) can be stored in O(log m+|ϕ|+log cv) bits. In the sequel, we exploit
these results to obtain a necessary and sufficient criterion for the emptiness of
V>0(ϕ) for ϕ in pLTL♦. Theorem 4. For ϕ ∈pLTL♦, V>0(ϕ) ̸= ∅iff¯v ∈V>0(ϕ) s.t. ¯v(x) = m·|ϕ|·2|ϕ|. Theorem 4. For ϕ ∈pLTL♦, V>0(ϕ) ̸= ∅iff¯v ∈V>0(ϕ) s.t. ¯v(x) = m·|ϕ|·2|ϕ|. Proof. Consider the direction from left to right. The only non-trivial case is
when there exists a valuation v ̸⩽¯v such that v ∈V>0(ϕ) implies ¯v ∈V>0(ϕ). In the model checking algorithm described above, we first construct Gϕ, and
then Uϕ with a single B¨uchi accepting set Acc′
B and d parametric accepting
sets F ′
xi, one for each variable xi in ϕ. For the sake of clarity, assume d = 1,
i.e., we consider valuation v. The explanation extends to the general case in a
straightforward manner. For valuation v, consider M ⊗Bϕ(v). We show that,
for r < v, Pr(M ⊗Bϕ(v)) > 0 implies Pr(M ⊗Bϕ(r)) > 0, where r = m·|Uϕ|,
which is in O(m·|ϕ|·2|ϕ|). Note that every cycle in M ⊗Bϕ(r) contains a state (s, q, i) with i = 0. (b) Suppose C′ is accepting. Then there exists (s′, q′, i′) with q′ ∈Acc. Since
C′ is an SCC and C ⊆C′, there is a path from (s, q, 0) ∈C to (s′, q′, i′). If the
length of the path is less than r, then we are done. If i′ > r, then some (s′′, q′′)
pair in the path must be repeated. Thus, we can find another path of length less For almost sure properties, a similar approach as for V>0(ϕ) suffices. Theorem 5.For ϕ ∈pLTL♦, V=1(ϕ) ̸= ∅iff¯v ∈V=1( ¯ϕ) with ¯v(x) = m·|ϕ|·2|ϕ|. Let N M = m |ϕ| 2|ϕ| Note that c
equals (N M)d Thus we have: Theorem 5.For ϕ ∈pLTL♦, V=1(ϕ) ̸= ∅iff¯v ∈V=1( ¯ϕ) with ¯v(x) = m·|ϕ|·2|ϕ|. Let NϕM = m·|ϕ|·2|ϕ|. Note that c¯v equals (NϕM)d. Thus, we have: Proposition 13. For ϕ ∈pLTL♦, deciding if V>0(ϕ) = ∅is PSPACE-complete. Proof. Theorem 4 gives an algorithm in PSPACE, as M ⊗Bϕ(¯v) can be stored
in O(log m + |ϕ| + d log NϕM) bits. PSPACE hardness follows trivially, as for
LTL formula ϕ and MC M, deciding Pr(M |= ϕ) > 0 (which is known to be a
PSPACE complete problem) is the same as checking the emptiness of V>0(ϕ). ■ Just as for pLTL(F,X), we can use the bisection method to find min V>0(ϕ). The search procedure invokes the model checking algorithm multiple times. We
can reuse the space each time we check Pr(M |= v(ϕ)) > 0. Hence, min V>0(ϕ)
can be found in polynomial space. The time complexity of finding min V>0(ϕ) is
O(m·(NϕM)d·2|ϕ|· log NϕM). Membership can also be similarly solved. Proposition 14. For pLTL♦-formula ϕ, v ∈V>0(ϕ)? takes O(d· log NϕM
d
) time,
provided a representation of V>0(ϕ) is given. 7
Concluding Remarks This paper considered the verification of finite MCs against parametric LTL. We obtained several results on the emptiness problem for qualitative verification
problems, including necessary and sufficient conditions as well as some complex-
ity results. Future work consists of devising more efficient algorithms for the
quantitative verification problems, and lifting the results to extended temporal
logics [19] and stochastic games, possibly exploiting [17]. Acknowledgement. This work was partially supported by the EU FP7 projects
MoVeS and Sensation, the EU Marie Curie project MEALS and the Excellence
initiative of the German federal government. Pr(s, q) =
X
(t,q′)∈δ(s,q)
P(s, t) · Pr(t, q′), Moreover, the graph of M ⊗Bϕ(r) is a sub-graph of M ⊗Bϕ(v). We now prove
that, if a (maximal) SCC C of M ⊗Bϕ(r) is not complete (or accepting) then
any SCC C′ of M ⊗Bϕ(v) containing C is also not complete (or accepting,
respectively). (a) Suppose C is not complete. Then there exists a finite path σ = s s1 . . . sk
of M, such that from any q, with (s, q, 0) ∈C, the run ρ = (s, q, 0)(s1, q1, 1) . . . (sj,
qj, j) leads to a deadlock state. This can have two causes: either (sj, qj, j) has
no successor for any j. Then, C′ is not complete. Or, the path ρ terminates
in (sj, qj, j) where j = r. This means, for all (s′, q′, j+1) ∈δ(sj, qj, j) in C′,
q′ ̸∈Fx. As the length of ρ exceeds r, there are states in the run whose first
and second component appear multiple times. Thus, we can find another path
σ′ (possibly longer than σ) for C′ which goes through states where the first and
the second component of some of its states are repeated sufficiently many times
to have a run (s, q, 0)(s1, q1, 1) . . . (sj, qj, v) which is a deadlock state. Thus, C′
is not complete. 14 than r to a state (s′, q′, i), where i ⩽r. Therefore, C is accepting. The rest of
the proof follows from Proposition 12. ■ than r to a state (s′, q′, i), where i ⩽r. Therefore, C is accepting. The rest of
the proof follows from Proposition 12. ■ For almost sure properties, a similar approach as for V>0(ϕ) suffices. References 1. Vardi, M.Y.: Automatic verification of probabilistic concurrent finite-state pro-
grams. In: FOCS, IEEE Computer Society (1985) 327–338 (
)
2. Courcoubetis, C., Yannakakis, M.: The complexity of probabilistic verification. J. ACM 42(4) (1995) 857–907 3. Couvreur, J.M., Saheb, N., Sutre, G.: An optimal automata approach to LTL model
checking of probabilistic systems. In: LPAR. Volume 2850 of LNCS., Springer
(2003) 361–375 15 4. Chatterjee, K., Gaiser, A., Kret´ınsk´y, J.: Automata with generalized Rabin pairs
for probabilistic model checking and LTL synthesis. In: CAV. Volume 8044 of
LNCS., Springer (2013) 559–575 5. Alur, R., Etessami, K., La Torre, S., Peled, D.:
Parametric temporal logic for
”model measuring”. ACM Trans. Comput. Log. 2(3) (2001) 388–407 6. Han, T., Katoen, J.P., Mereacre, A.: Approximate parameter synthesis for prob-
abilistic time-bounded reachability. In: IEEE Real-Time Systems Symposium
(RTSS), IEEE Computer Society (2008) 173–182 (
)
(
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7. Hahn, E.M., Han, T., Zhang, L.: Synthesis for PCTL in parametric Markov decision
processes. In: NFM. Volume 6617 of LNCS., Springer (2011) 146–161 8. Puggelli, A., Li, W., Sangiovanni-Vincentelli, A., Seshia, S.: Polynomial-time veri-
fication of PCTL properties of MDPs with convex uncertainties. In: CAV. Volume
8044 of LNCS., Springer (2013) 527–542 (
)
9. Benedikt, M., Lenhardt, R., Worrell, J.: LTL model checking of interval Markov
chains. In: TACAS. Volume 7795 of LNCS., Springer (2013) 32–46 10. Hahn, E.M., Hermanns, H., Zhang, L.: Probabilistic reachability for parametric
Markov models. STTT 13(1) (2011) 3–19 11. Daws, C.: Symbolic and parametric model checking of discrete-time Markov chains. In: ICTAC. Volume 3407 of LNCS., Springer (2005) 280–294 12. Katoen, J.P., McIver, A., Meinicke, L., Morgan, C.C.: Linear-invariant generation
for probabilistic programs. In: Static Analysis Symposium (SAS). Volume 6337 of
LNCS., Springer (2010) 390–406 13. Benedikt, M., Lenhardt, R., Worrell, J.: Two variable vs. linear temporal logic in
model checking and games. Logical Methods in Computer Science 9(2) (2013) 14. Ummels, M., Baier, C.: Computing quantiles in Markov reward models. In: FoS-
SaCS. Volume 7794 of LNCS., Springer (2013) 353–368 (
)
15. Alur, R., La Torre, S.: Deterministic generators and games for LTL fragments. ACM Trans. Comput. Log. 5(1) (2004) 1–25 16. Baier, C., Katoen, J.P.: Principles of Model Checking. MIT Press (2008) 17. Zimmermann, M.: Optimal bounds in parametric LTL games. Theor. Comput. Sci. 493 (2013) 30–45 18. Vardi, M.Y.: An automata-theoretic approach to linear temporal logic. In: Logics
for Concurrency: Structure versus Automata. References Volume 1043 of LNCS., Springer
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19. Vardi, M.Y., Wolper, P.: Reasoning about infinite computations. Information and
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https://research.rug.nl/files/48407608/ncomms10023.pdf
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English
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Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
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Nature communications
| 2,016
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cc-by
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ARTICLE Received 12 Mar 2015 | Accepted 27 Oct 2015 | Published 21 Jan 2016 Received 12 Mar 2015 | Accepted 27 Oct 2015 | Published 21 Jan 2016 University of Groningen University of Groningen Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney
function
Pattaro, Cristian; Teumer, Alexander; Gorski, Mathias; Chu, Audrey Y; Li, Man; Mijatovic,
Vladan; Garnaas, Maija; Tin, Adrienne; Sorice, Rossella; Li, Yong
Published in:
Nature Communications DOI:
10.1038/ncomms10023 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:
2016 Link to publication in University of Groningen/UMCG research database Citation for published version (APA):
Pattaro, C., Teumer, A., Gorski, M., Chu, A. Y., Li, M., Mijatovic, V., Garnaas, M., Tin, A., Sorice, R., Li, Y.,
Taliun, D., Olden, M., Foster, M., Yang, Q., Chen, M.-H., Pers, T. H., Johnson, A. D., Ko, Y.-A.,
Fuchsberger, C., ... ICBP Consortium (2016). Genetic associations at 53 loci highlight cell types and
biological pathways relevant for kidney function. Nature Communications, 7(10023). https://doi.org/10.1038/ncomms10023 Copyright
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number of authors shown on this cover page is limited to 10 maximum. Results
S
1 7 9 Exploratory comparison of the association effect sizes in
subjects with and without hypertension based on our previous
work7 showed that novel and known loci are also similarly
associated with eGFRcrea among individuals with and without
hypertension (Supplementary Fig. 6). Tests for SNP associations with related phenotypes. We tested
for overlap with traits that are known to be associated with kidney
function in the epidemiologic literature by investigating SNP
associations with systolic and diastolic blood pressure17, myocardial
infarction18,
left
ventricular
mass19,
heart
failure20,
fasting
glucose21 and urinary albumin excretion (CKDGen Consortium,
personal communication). We observed little association of the 24
novel SNPs with other kidney function-related traits, with only 2
out of 165 tests reaching the Bonferroni significance level of 0.0003
(see Methods and Supplementary Table 6). In addition to confirming 29 previously identified loci7–9
(Fig. 1a; Supplementary Table 2), we identified 48 independent
novel loci (Supplementary Table 3) where the index SNP, defined
as the variant with the lowest P value in the region, had an
association P value o1.0 10 6. Of these 48 novel SNPs, 21
were genome-wide significant with P values o5.0 10 8. Overall, 43 SNPs were identified in association with eGFRcrea
(nine in the non-diabetes sample), one with eGFRcys and four
with CKD, as reported in Supplementary Table 3. Manhattan
plots for CKD, eGFRcys and eGFRcrea in diabetes are shown in
Fig. 1b,c and Supplementary Fig. 2, respectively. y
To investigate whether additional traits are associated with the
24 new eGFR loci, we queried the NHGRI GWAS catalog
(www.genome.gov). Overall, nine loci were previously identified
in association with other traits at a P value of 5.0 10 8 or lower
(Supplementary Table 7), including body mass index (ETV5) and
serum urate (INHBC, A1CF and AP5B1). Stage-2 replication. Novel loci were tested for replication in up to
42,166 additional European ancestry individuals from 15 studies
(Supplementary Table 1). Of the 48 novel candidate SNPs sub-
mitted to replication, 24 SNPs demonstrated a genome-wide
significant combined stage 1 and 2 P value o5.0 10 8
(Table 1). Of these, 23 fulfilled additional replication criteria
(q-value o0.05 in stage 2). Only rs6795744 at the WNT7A locus
demonstrated suggestive replication (P value o5.0 10 8,
q-value 40.05). ARTICLE ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 C
hronic kidney disease (CKD) is a global public health
problem1–3, and is associated with an increased risk for
cardiovascular disease, all-cause mortality and end-stage
renal disease4,5. Few new therapies have been developed to prevent
or treat CKD over the past two decades1,6, underscoring the need to
identify and understand the underlying mechanisms of CKD. creatinine-independent biomarker of GFR (Supplementary Fig. 3;
Supplementary
Table
4). The
majority
of
loci
(22/24)
demonstrated consistent effect directions of their association with
both eGFRcrea and eGFRcys. Association plots of the 24 newly identified genomic regions
that contain a replicated or suggestive index SNP appear in
Supplementary Fig. 4. The odds ratio for CKD for each of the
novel loci ranged from 0.93 to 1.06 (Supplementary Table 4). As
evidenced by the relatively small effect sizes, the proportion of
phenotypic variance of eGFRcrea explained by all new and known
loci was 3.22%: 0.81% for the newly uncovered loci and 2.41% for
the already known loci. Prior genome-wide association studies (GWAS) have identified
multiple genetic loci associated with CKD and estimated
glomerular filtration rate (eGFR), a measure of the kidney’s
filtration ability that is used to diagnose and stage CKD7–15. Subsequent functional investigations point towards clinically
relevant novel mechanisms in CKD that were derived from initial
GWAS findings16, providing proof of principle that locus
discovery through large-scale GWAS efforts can translate to
new insights into CKD pathogenesis. Associations stratified by diabetes and hypertension status. The
effects of the 53 known and novel loci in individuals with
(stage 1 þ stage 2 n ¼ 16,477) and without (stage 1 þ stage 2
n ¼ 154,881) diabetes were highly correlated (correlation coeffi-
cient: 0.80; 95% confidence interval: 0.67, 0.88; Supplementary
Fig. 5) and of similar magnitude (Fig. 2; Supplementary Table 5),
suggesting that identification of genetic loci in the overall popu-
lation may also provide insights into loci with potential impor-
tance among individuals with diabetes. The previously identified
UMOD locus showed genome-wide significant association with
eGFRcrea among those with diabetes (Supplementary Fig. 2;
rs12917707, P value ¼ 2.5 10 8), and six loci (NFKB1, UNCX,
TSPAN9, AP5B1, SIPA1L3 and PTPRO) had nominally significant
associations with eGFRcrea among those with diabetes. Of the
previously identified loci, 13 demonstrated nominal associations
among those with diabetes, for a total of 19 loci associated with
eGFRcrea in diabetes. Results
S
1 Stage 1 discovery analysis. We analysed associations of eGFR
based on serum creatinine (eGFRcrea), cystatin C (eGFRcys, an
additional, complementary biomarker of renal function) and
CKD (defined as eGFRcrea o60 ml min 1 per 1.73 m2) with
B2.5 million autosomal single-nucleotide polymorphisms (SNPs)
in up to 133,413 individuals of European ancestry from 49 pre-
dominantly population-based studies (Supplementary Table 1). Results from discovery GWAS meta-analysis are publicly avail-
able at http://fox.nhlbi.nih.gov/CKDGen/. We performed ana-
lyses in each study sample in the overall population and stratified
by diabetes status, since genetic susceptibility to CKD may differ
in the presence of this strong clinical CKD risk factor. Population
stratification did not impact our results as evidenced by low
genomic inflation factors in our meta-analyses, which ranged
from 1.00 to 1.04 across all our analyses (Supplementary Fig. 1). In addition to confirming 29 previously identified loci7–9
(Fig. 1a; Supplementary Table 2), we identified 48 independent
novel loci (Supplementary Table 3) where the index SNP, defined
as the variant with the lowest P value in the region, had an
association P value o1.0 10 6. Of these 48 novel SNPs, 21
were genome-wide significant with P values o5.0 10 8. Overall, 43 SNPs were identified in association with eGFRcrea
(nine in the non-diabetes sample), one with eGFRcys and four
with CKD, as reported in Supplementary Table 3. Manhattan
plots for CKD, eGFRcys and eGFRcrea in diabetes are shown in
Fig. 1b,c and Supplementary Fig. 2, respectively. Stage 1 discovery analysis. We analysed associations of eGFR
based on serum creatinine (eGFRcrea), cystatin C (eGFRcys, an
additional, complementary biomarker of renal function) and
CKD (defined as eGFRcrea o60 ml min 1 per 1.73 m2) with
B2.5 million autosomal single-nucleotide polymorphisms (SNPs)
in up to 133,413 individuals of European ancestry from 49 pre-
dominantly population-based studies (Supplementary Table 1). Results from discovery GWAS meta-analysis are publicly avail-
able at http://fox.nhlbi.nih.gov/CKDGen/. We performed ana-
lyses in each study sample in the overall population and stratified
by diabetes status, since genetic susceptibility to CKD may differ
in the presence of this strong clinical CKD risk factor. Population
stratification did not impact our results as evidenced by low
genomic inflation factors in our meta-analyses, which ranged
from 1.00 to 1.04 across all our analyses (Supplementary Fig. 1). ARTICLE To identify additional genetic variants associated with eGFR
and guide future experimental studies of CKD-related mechan-
isms, we have now performed GWAS meta-analyses in up to
133,413 individuals, more than double the sample size of previous
studies. Here we describe multiple novel genomic loci associated
with
kidney
function
traits
and
provide
extensive
locus
characterization and bioinformatics analyses, further delineating
the physiologic basis of kidney function. NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications Genetic associations at 53 loci highlight cell types
and biological pathways relevant for kidney
function Cristian Pattaro et al.# Reduced glomerular filtration rate defines chronic kidney disease and is associated with
cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide
association studies for estimated glomerular filtration rate (eGFR), combining data across
133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and
confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among indi-
viduals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are
enriched for expression in kidney tissues and in pathways relevant for kidney development
and transmembrane transporter activity, kidney structure, and regulation of glucose
metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult
tissues demonstrate preferential mapping of associated variants to regulatory regions in
kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR
are mediated largely through direct effects within the kidney and highlight important cell
types and biological pathways. terials should be addressed to C.P. (email: cristian.pattaro@eurac.edu) or to A.K. (email: anna.koettgen@uniklinik-freiburg.de)
ov). Correspondence and requests for materials should be addressed to C.P. (email: cristian.pattaro@eurac.edu) or to A.K. (email: anna.koettgen@uniklinik-freiburg.de)
or to C.S.F. (email: foxca@nhlbi.nih.gov). #A full list of authors and their affiliations appears at the end of the paper. 1 NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 31
30
29
28
27
26
25
24
23
22
21
20
19
18
17
16
15
14
13
12
11
10
9
8
7
6
5
21
19
17
15
14
13
12
11
10
9
8
7
6
5
4
4
3
3
2
2
1
1
0
eGFRcrea overall/nonDM
–log10 (P value)
10
9
8
7
6
P value)
Overall (n=133,413)
NonDM (n=118,448)
Chromosome
n=32,834
eGFRcys overall
c
a
SHROOM3
CPS1
NAT8
GCKR
ANXA9
DDX1
TFDP2
DAB2
VEGFA
TMEM60
STC1
PIP5K1B
MPPED2
BCAS3
GATM
UMOD
SLC6A13
DACH1
INO80
WDR72
UBE2Q2
SLC47A1
CDK12
SLC7A9
WDR37
SLC22A2
SLC34A1
PRKAG2
CASP9
CACNA1S
IGFBP5
ETV5
KCNQ1
DPEP1
NFATC1
A1CF
SKIL
SYPL2
SDCCAG8
LRP2
WNT7A
NFKB1
ZNF204
UNCX
RNF32
AP5B1
TSPAN9
PTPRO
INHBC
BCAS1
TP53INP2
SIPA1L3
KBTBD2
NAT8
VEGFA
PRKAG2
STC1
ATXN2
UBE2Q2
UMOD
CST3
SHROOM3
KCNQ1
10
9
8
7
6
5
4
3
2
1
0
–log10 (P value)
21
19
17
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
Chromosome
n=117,165
CKD overall
b
CPS1
ANXA9
GCKR
DDX1
CASP9
NAT8
TFDP2
SHROOM3
DAB2
VEGFA
SLC22A2
SLC34A1
TMEM60
STC1
WDR37
PIP5K1B
MPPED2
GATM
UMOD
WDR72
SLC47A1
CDK12
BCAS3
SLC7A9
DACH1
INO80
UBE2Q2
SLC6A13
PRKAG2
SDCCAG8
CACNA1S
SYPL2
LRP2
IGFBP5
WNT7A
SKIL
ETV5
NFKB1
ZNF204
RNF32
UNCX
KBTBD2
A1CF
AP5B1
KCNQ1
INHBC
TSPAN9
PTPRO
DPEP1
NFATC1
TP53INP2
BCAS1
SIPA1L3 31
30
29
28
27
26
25
24
23
22
21
20
19
18
17
16
15
14
13
12
11
10
9
8
7
6
5
21
19
17
15
14
13
12
11
10
9
8
7
6
5
4
4
3
3
2
2
1
1
0
eGFRcrea overall/nonDM
–log10 (P value)
Overall (n=133,413)
NonDM (n=118,448)
Chromosome
a
SHROOM3
CPS1
NAT8
GCKR
ANXA9
DDX1
TFDP2
DAB2
VEGFA
TMEM60
STC1
PIP5K1B
MPPED2
BCAS3
GATM
UMOD
SLC6A13
DACH1
INO80
WDR72
UBE2Q2
SLC47A1
CDK12
SLC7A9
WDR37
SLC22A2
SLC34A1
PRKAG2
CASP9
CACNA1S
IGFBP5
ETV5
KCNQ1
DPEP1
NFATC1
A1CF
SKIL
SYPL2
SDCCAG8
LRP2
WNT7A
NFKB1
ZNF204
UNCX
RNF32
AP5B1
TSPAN9
PTPRO
INHBC
BCAS1
TP53INP2
SIPA1L3
KBTBD2 a eGFRcrea overall/nonDM 28
27
26
25
24
23
22
21
20
19
18
17
16
15
14
13
12
11
10
9
8
7
6
5
21
19
17
15
14
13
12
11
10
9
8
7
6
5
4
4
3
3
2
2
1
1
0
–log10 (P value)
10
9
8
7
6
5
4
3
2
1
0
–log10 (P value)
Chromosome
21
19
17
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
Chromosome
n=32,834
eGFRcys overall
c
CPS1
NAT8
GCKR
ANXA9
DDX1
TFDP2
DAB2
VEGFA
TMEM60
STC1
PIP5K1B
MPPED2
BCAS3
SLC6A13
DACH1
INO80
WDR72
UBE2Q2
SLC47A1
CDK12
SLC7A9
WDR37
SLC22A2
SLC34A1
CASP9
CACNA1S
IGFBP5
ETV5
KCNQ1
DPEP1
NFATC1
A1CF
SKIL
SYPL2
SDCCAG8
LRP2
WNT7A
NFKB1
ZNF204
UNCX
RNF32
AP5B1
TSPAN9
PTPRO
INHBC
BCAS1
TP53INP2
SIPA1L3
KBTBD2
NAT8
DDX1
GCKR
CASP9
ANXA9
TFDP2
CPS1
DAB2
SLC34A1
VEGFA
PRKAG2
STC1
SLC22A2
TMEM60
PIP5K1B
WDR37
ATXN2
UBE2Q2
WDR72
BCAS3SLC7A9
DACH1
GATM
INO80
SLC47A1
CDK12
UMOD
CST3
MPPED2
SLC6A13
SHROOM3
SYPL2
SDCCAG8
CACNA1S
LRP2
WNT7A
ETV5
NFKB1
ZNF204
UNCX
KBTBD2
KCNQ1
AP5B1
PTPBO
TSPAN9
DPEP1
TP53INP2
BCAS1
NFATC1
SIPA1L3
INHBC
SKIL
IGFBP5
RNF32
A1CF
10
9
8
7
6
5
4
3
2
1
0
–log10 (P value)
21
19
17
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
Chromosome
n=117,165
CKD overall
b
CPS1
ANXA9
GCKR
DDX1
CASP9
NAT8
TFDP2
SHROOM3
DAB2
VEGFA
SLC22A2
SLC34A1
TMEM60
STC1
WDR37
PIP5K1B
MPPED2
GATM
UMOD
WDR72
SLC47A1
CDK12
BCAS3
SLC7A9
DACH1
INO80
UBE2Q2
SLC6A13
PRKAG2
SDCCAG8
CACNA1S
SYPL2
LRP2
IGFBP5
WNT7A
SKIL
ETV5
NFKB1
ZNF204
RNF32
UNCX
KBTBD2
A1CF
AP5B1
KCNQ1
INHBC
TSPAN9
PTPRO
DPEP1
NFATC1
TP53INP2
BCAS1
SIPA1L3
ery stage genome-wide association analysis. Results
S
1 Because serum creatinine is used to estimate
eGFRcrea, associated genetic loci may be relevant to creatinine
production or metabolism rather than kidney function per se. For
this
reason,
we
contrasted
associations
of
eGFRcrea
versus eGFRcys, the latter estimated from an alternative and Trans-ethnic analyses. To assess the generalizability of our
findings across ethnicities, we evaluated the association of the
24 newly identified loci with eGFRcrea in 16,840 participants of
12 African ancestry population studies (Supplementary Table 8)
and in up to 42,296 Asians from the AGEN consortium11
(Supplementary
Table
9). Seven
SNPs
achieved
nominal
direction-consistent significance (Po0.05) in AGEN, and one
SNP was significant in the African ancestry meta-analysis
(Supplementary Table 9). Random-effect meta-analysis showed
that 12 loci (SDCCAG8, LRP2, IGFBP5, SKIL, UNCX, KBTBD2,
A1CF, KCNQ1, AP5B1, PTPRO, TP53INP2 and BCAS1) had fully
consistent effect direction across the three ethnic groups NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications 2 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 Table 1 | The 24 novel SNPs associated with eGFRcrea in European ancestry individuals. SNP ID*
Chr. Position (bp)w
Locus
namez
Effect/Non
effect allele
(EAF)
SNP
functiony
Stage 1
(discovery)||
Stage 2
(replication)
Combined analysisz
Beta
P value
Beta
q-value
Beta
P value#
I2 %**
The eight loci whose smallest P value was observed in the ‘no diabetes’ group
rs3850625
1
201,016,296
CACNA1S
A/G (0.12)
Exonic,
nonsyn. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 SNV
0.0080
2.55E 09
0.0071
5.46E 03
0.0083
6.82E 11
0
rs2712184
2
217,682,779
IGFBP5
A/C (0.58)
Intergenic
0.0049
1.65E 08
0.0055
2.06E 03
0.0053
1.33E 10
0
rs9682041
3
170,091,902
SKIL
T/C (0.87)
Intronic
0.0067
1.36E 07
0.0046
2.33E 02
0.0068
2.58E 08
2
rs10513801
3
185,822,353
ETV5
T/G (0.87)
Intronic
0.0070
3.80E 09
0.0046
1.79E 02
0.0072
1.03E 09
0
rs10994860
10
52,645,424
A1CF
T/C (0.19)
UTR5
0.0075
1.00E 11
0.0061
5.46E 03
0.0077
1.07E 12
2
rs163160
11
2,789,955
KCNQ1
A/G (0.82)
Intronic
0.0067
9.02E 09
0.0050
9.89E 03
0.0065
2.26E 09
14
rs164748
16
89,708,292
DPEP1
C/G (0.53)
Intergenic
0.0047
9.92E 09
0.0019
4.19E 02
0.0046
1.95E 08
17
rs8091180
18
77,164,243
NFATC1
A/G (0.56)
Intronic
0.0054
1.43E 08
0.0052
5.46E 03
0.0060
1.28E 09
0
The 16 loci whose smallest P value was observed in the ‘overall’ group
rs12136063
1
110,014,170
SYPL2
A/G (0.70)
Intronic
0.0049
2.33E 07
0.0028
2.31E 02
0.0045
4.71E 08
0
rs2802729
1
243,501,763
SDCCAG8
A/C (0.43)
Intronic
0.0050
7.37E 08
0.0029
2.05E 02
0.0046
2.20E 08
9
rs4667594
2
170,008,506
LRP2
A/T (0.53)
Intronic
0.0045
2.37E 07
0.0043
5.62E 03
0.0044
3.52E 08
4
rs6795744ww
3
13,906,850
WNT7A
A/G (0.15)
Intronic
0.0071
9.60E 09
0.0019
5.15E 02
0.0060
3.33E 08
18
rs228611
4
103,561,709
NFKB1
A/G (0.47)
Intronic
0.0055
4.66E 10
0.0060
8.91E 04
0.0056
3.58E 12
3
rs7759001
6
27,341,409
ZNF204
A/G (0.76)
ncRNA
intronic
0.0053
2.64E 07
0.0045
9.10E 03
0.0051
1.75E 08
0
rs10277115
7
1,285,195
UNCX
A/T (0.23)
Intergenic
0.0095
1.05E 10
0.0079
9.03E 04
0.0090
8.72E 14
0
rs3750082
7
32,919,927
KBTBD2
A/T (0.33)
Intronic
0.0049
2.52E 07
0.0031
1.96E 02
0.0045
3.22E 08
2
rs6459680
7
156,258,568
RNF32
T/G (0.74)
Intergenic
0.0065
1.96E 10
0.0019
4.62E 02
0.0055
1.07E 09
0
rs4014195
11
65,506,822
AP5B1
C/G (0.64)
Intergenic
0.0061
2.19E 11
0.0034
1.42E 02
0.0055
1.10E 11
0
rs10491967
12
3,368,093
TSPAN9
A/G (0.10)
Intronic
0.0092
3.03E 10
0.0106
3.93E 04
0.0095
5.18E 14
0
rs7956634
12
15,321,194
PTPRO
T/C (0.81)
Intronic
0.0068
2.46E 09
0.0069
1.51E 03
0.0068
7.17E 12
0
rs1106766
12
57,809,456
INHBC
T/C (0.22)
Intergenic
0.0062
4.67E 08
0.0058
8.79E 03
0.0061
2.41E 09
9
rs11666497
19
38,464,262
SIPA1L3
T/C (0.18)
Intronic
0.0064
8.58E 08
0.0041
1.53E 02
0.0058
4.25E 08
24
rs6088580
20
33,285,053
TP53INP2
C/G (0.47)
Intergenic
0.0055
7.17E 10
0.0027
2.31E 02
0.0049
1.79E 09
0
rs17216707
20
52,732,362
BCAS1
T/C (0.79)
Intergenic
0.0084
5.96E 13
0.0051
6.69E 03
0.0077
8.83E 15
1
bp, basepairs; Chr, chromosome; EAF, effect allele frequency; eGFRcrea, eGFR based on serum creatinine; GWAS, genome-wide association studies; SNP, single-nucleotide polymorphism;
UTR, untranslated region. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 *SNPs are grouped by the stratum where the smallest P value in the discovery and combined analysis was observed. In the ‘no diabetes’ group, sample size/number of studies were equal to 118,448/45,
36,433/13 and 154,881/58, in the discovery, replication and combined analyses, respectively. In the ‘overall’ group, the numbers for the three analyses were equal to 133,413/48, 42,116/14 and
175,579/62, respectively. wOn the basis of RefSeq genes (build 37). zConventional locus name based on relevant genes in the region as identified by bioinformatic investigation (Supplementary Table 12) or closest gene. A complete overview of the genes in each locus is
given in the regional association plots (Supplementary Fig. 4). ySNP function is derived from NCBI RefSeq genes and may not correspond to the named gene. ||Twice genomic-control (GC) corrected P value from discovery GWAS meta-analysis: at the individual study level and after the meta-analysis. zFor random-effect estimate, see Supplementary Table 4. #P value of the meta-analysis of the twice GC-corrected discovery meta-analysis results and replication studies. **Between-study heterogeneity, as assessed by the I2. Q statistic P value 40.05 for all SNPs, except rs11666497 (SIPA1L3, P value ¼ 0.04). wwFor this SNP, the conditions for replication were not all met (q-value 40.05 in the replication stage). Table 1 | The 24 novel SNPs associated with eGFRcrea in European ancestry individuals. connected novel SNPs to transcript abundance of SYPL2,
SDCCAG8,
MANBA,
KBTBD2,
PTPRO
and
SPATA33
(C16orf55), thereby supporting these as potential candidate
genes in the respective associated regions (Supplementary
Table 11). (Supplementary Fig. 7), suggesting that our findings can likely be
generalized beyond the European ancestry group. g
y
p
y g
p
To identify additional potentially associated variants and more
formally evaluate trans-ethnic heterogeneity of the loci identified
through meta-analysis in European ancestry populations, we
performed a trans-ethnic meta-analysis22, combining the 12
African ancestry studies with the 48 European Ancestry studies
used in the discovery analysis of eGFRcrea. Of the 24 new loci
uncovered for eGFRcrea, 15 were also genome-wide significant in
the trans-ethnic meta-analysis (defined as log10 Bayes Factor 46,
Supplementary Table 10), indicating that for most of these loci,
there is little to no allelic effect heterogeneity across the two
ethnic groups. No additional loci were significantly associated
with log10 Bayes Factor 46. Pathway analyses. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 Manhattan plots for eGFRcrea, CKD and eGFRcys. Previously
labels). (a) Novel loci uncovered for eGFRcrea in the overall and in the non-diabetes groups are highligh
esults from CKD analysis with highlighted known and novel loci for eGFRcrea. (c) Results from eGFRcys with
and known eGFRcys loci. CATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications 10
9
8
7
6
5
4
3
2
1
0
–log10 (P value)
21
19
17
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
Chromosome
n=117,165
CKD overall
b
CPS1
ANXA9
GCKR
DDX1
CASP9
NAT8
TFDP2
SHROOM3
DAB2
VEGFA
SLC22A2
SLC34A1
TMEM60
STC1
WDR37
PIP5K1B
MPPED2
GATM
UMOD
WDR72
SLC47A1
CDK12
BCAS3
SLC7A9
DACH1
INO80
UBE2Q2
SLC6A13
PRKAG2
SDCCAG8
CACNA1S
SYPL2
LRP2
IGFBP5
WNT7A
SKIL
ETV5
NFKB1
ZNF204
RNF32
UNCX
KBTBD2
A1CF
AP5B1
KCNQ1
INHBC
TSPAN9
PTPRO
DPEP1
NFATC1
TP53INP2
BCAS1
SIPA1L3 b 10
9
8
7
6
5
4
3
2
1
0
–log10 (P value)
21
19
17
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
Chromosome
n=32,834
eGFRcys overall
c
NAT8
DDX1
GCKR
CASP9
ANXA9
TFDP2
CPS1
DAB2
SLC34A1
VEGFA
PRKAG2
STC1
SLC22A2
TMEM60
PIP5K1B
WDR37
ATXN2
UBE2Q2
WDR72
BCAS3SLC7A9
DACH1
GATM
INO80
SLC47A1
CDK12
UMOD
CST3
MPPED2
SLC6A13
SHROOM3
SYPL2
SDCCAG8
CACNA1S
LRP2
WNT7A
ETV5
NFKB1
ZNF204
UNCX
KBTBD2
KCNQ1
AP5B1
PTPBO
TSPAN9
DPEP1
TP53INP2
BCAS1
NFATC1
SIPA1L3
INHBC
SKIL
IGFBP5
RNF32
A1CF c Figure 1 | Discovery stage genome-wide association analysis. Manhattan plots for eGFRcrea, CKD and eGFRcys. Previously reported loci are highlighted
in light blue (grey labels). (a) Novel loci uncovered for eGFRcrea in the overall and in the non-diabetes groups are highlighted in blue and green,
respectively. (b) Results from CKD analysis with highlighted known and novel loci for eGFRcrea. (c) Results from eGFRcys with highlighted known and novel
loci for eGFRcrea and known eGFRcys loci. NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications 3 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 Displayed are effects and their
95% confidence intervals on ln(eGFRcrea). Results are sorted by increasing effects in the diabetes group. The majority of loci demonstrated similar effect
sizes in the diabetes as compared with non-diabetes strata. SNP-specific information and detailed sample sizes are reported in Supplementary Table 5. b a Effect on log(eGFRcrea) Effect on log(eGFRcrea) Figure 2 | Association eGFRcrea loci in subjects with and without diabetes. Novel (a) and known (b) loci were considered. Displayed are effects and their
95% confidence intervals on ln(eGFRcrea). Results are sorted by increasing effects in the diabetes group. The majority of loci demonstrated similar effect
sizes in the diabetes as compared with non-diabetes strata. SNP-specific information and detailed sample sizes are reported in Supplementary Table 5. DNase I hypersensitivity and H3K4m3 chromatin mark analyses. To evaluate whether eGFRcrea-associated SNPs map into gene
regulatory regions and to thereby gain insight into their potential
function, we evaluated the overlap of independent eGFRcrea-
associated SNPs with P values o10 4 (or their proxies) with
DHSs using publicly available data from the Epigenomics Road-
map Project and ENCODE for 123 cell types (see Methods). DHSs mark accessible chromatin regions where transcription
may occur. Compared with a set of control SNPs (see Methods),
eGFRcrea-associated SNPs were significantly more likely to map
to DHS in six specific tissues or cell types (Fig. 3b), including
adult human renal cortical epithelial cells, adult renal proximal
tubule epithelial cells, H7 embryonic stem cells (differentiated 2
days), adult human renal epithelial cells, adult small airway epi-
thelial cells and amniotic epithelial cells. No significant enrich-
ment was observed for adult renal glomerular endothelial cells,
the only other kidney tissue evaluated. Chromatin annotation maps. In addition to assessing individual
regulatory marks separately, we annotated the known and repli-
cated novel SNPs, as well as their perfect proxies in a com-
plementary
approach. Chromatin
annotation
maps
were
generated integrating 410 epigenetic marks from cells derived
from adult human kidney tissue and a variety of non-renal tissues
from the ENCODE project (see Methods). The proportion of
variants to which a function could be assigned was significantly
higher when using chromatin annotation maps from renal tissue
compared with using maps that investigated the same epigenetic
marks in other non-renal tissues (Fig. 3c), again indicating that
eGFRcrea associated SNPs are, or tag, kidney-specific regulatory
variants. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 rs10491967 (A) - TSPAN9
rs491567 (A)-WDR72
No diabetes
Diabetes
rs10794720 (T)- WDR37
rs7422339 (A)-CPS1
rs267734 (T)- LASS2
rs3925584 (T)- MPPED2
rs1394125 (A)- UBE2Q2
rs7805747 (A)- PRKAG2
rs2453533 (A)-GATM
rs11959928 (A) -DAB2
rs13538 (A)-ALMS1
rs17319721 (A) -SHROOM3
rs626277 (A)- DACH1
rs6431731 (T)- DDX1
rs10109414 (T)- STC1
rs881858 (A)- SLC34A1
rs12460876 (T)- SLC7A9
rs4744712 (A)- PIP5K1B
rs2453580 (T)-SLC47A1
rs10774021 (T)-SLC6A13
rs7208487 (T)- CDK12
rs347685 (A)-TFDP2
rs9895661 (T)- BCAS3
rs2928148 (A)- INO80
rs848490 (C)- TMEM60
rs12124078 (A) -CASP9
rs2279463 (A)-VEGFA
rs6465825 (T)-SLC22A2
rs1260326 (T)- GCKR
rs12917707 (T)- UMOD
rs11666497 (T) - SIPA1L3
rs228611 (A) -NFKB1
rs7956634 (T) -PTPRO
rs17216707 (T) - BCAS1
rs2802729 (A) - SDCCAG8
rs6459680 (T) -RNF32
rs2712184 (A) - IGFBP5
rs4667594 (A) - LRP2
rs6088580 (C) -TP53INP2
rs7759001 (A) -ZNF204
rs9682041 (T) -SKIL
rs12136063 (A) - SYPL2
rs1106766 (T) - INHBC
rs10513801 (T) - ETV5
rs164748 (C) - DPEP1
rs8091180 (A) - NFATC1
rs10994860 (T) - A1CF
rs3850625 (A) - CACNA1S
rs3750082 (A) - KBTBD2
rs163160 (A) -KCNQ1
rs6795744 (A) - WNT7A
rs4014195 (C) -AP5B1
rs10277115 (A) -UNCX
–0.02
–0.02
–0.01
0
0.01
0.02
–0.01
0
0.01
0.02
Effect on log(eGFRcrea)
Effect on log(eGFRcrea)
a
b rs10491967 (A) - TSPAN9
rs491567 (A)-WDR72
No diabetes
Diabetes
rs10794720 (T)- WDR37
rs7422339 (A)-CPS1
rs267734 (T)- LASS2
rs3925584 (T)- MPPED2
rs1394125 (A)- UBE2Q2
rs7805747 (A)- PRKAG2
rs2453533 (A)-GATM
rs11959928 (A) -DAB2
rs13538 (A)-ALMS1
rs17319721 (A) -SHROOM3
rs626277 (A)- DACH1
rs6431731 (T)- DDX1
rs10109414 (T)- STC1
rs881858 (A)- SLC34A1
rs12460876 (T)- SLC7A9
rs4744712 (A)- PIP5K1B
rs2453580 (T)-SLC47A1
rs10774021 (T)-SLC6A13
rs7208487 (T)- CDK12
rs347685 (A)-TFDP2
rs9895661 (T)- BCAS3
rs2928148 (A)- INO80
rs848490 (C)- TMEM60
rs12124078 (A) -CASP9
rs2279463 (A)-VEGFA
rs6465825 (T)-SLC22A2
rs1260326 (T)- GCKR
rs12917707 (T)- UMOD
rs11666497 (T) - SIPA1L3
rs228611 (A) -NFKB1
rs7956634 (T) -PTPRO
rs17216707 (T) - BCAS1
rs2802729 (A) - SDCCAG8
rs6459680 (T) -RNF32
rs2712184 (A) - IGFBP5
rs4667594 (A) - LRP2
rs6088580 (C) -TP53INP2
rs7759001 (A) -ZNF204
rs9682041 (T) -SKIL
rs12136063 (A) - SYPL2
rs1106766 (T) - INHBC
rs10513801 (T) - ETV5
rs164748 (C) - DPEP1
rs8091180 (A) - NFATC1
rs10994860 (T) - A1CF
rs3850625 (A) - CACNA1S
rs3750082 (A) - KBTBD2
rs163160 (A) -KCNQ1
rs6795744 (A) - WNT7A
rs4014195 (C) -AP5B1
rs10277115 (A) -UNCX
–0.02
–0.02
–0.01
0
0.01
0.02
–0.01
0
0.01
0.02
Effect on log(eGFRcrea)
Effect on log(eGFRcrea)
a
b
Figure 2 | Association eGFRcrea loci in subjects with and without diabetes. Novel (a) and known (b) loci were considered. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 We used a novel method, Data-driven
Expression Prioritized Integration for Complex Traits (DEPICT)23,
to prioritize genes at associated loci, to test whether genes at
associated loci are highly expressed in specific tissues or cell types
and to test whether specific biological pathways and gene sets are
enriched for genes in associated loci. On the basis of all SNPs with
eGFRcrea association P values o10 5 in the discovery meta-
analysis, representing 124 independent regions, we identified at
least one significantly prioritized gene in 49 regions, including in 9
of the 24 novel genome-wide significant regions (Supplementary
Table 12). Five tissue and cell type annotations were enriched for
expression of genes from the associated regions, including the
kidney and urinary tract, as well as hepatocytes and adrenal glands
and
cortex
(Fig. 3a;
Supplementary
Table
13). Nineteen
reconstituted gene sets showed enrichment of genes mapping
into the associated regions at a permutation P value o10 5
(Supplementary Table 14; Fig. 4), highlighting processes related to
renal development, kidney transmembrane transporter activity,
kidney and urogenital system morphology, regulation of glucose
metabolism, as well as specific protein complexes important in
renal development. Bioinformatic and functional characterization of new loci. We
used several techniques to prioritize and characterize genes
underlying the identified associations, uncover connections between
associated regions, detect relevant tissues and assign functional
annotations to associated variants. These included expression
quantitative trait loci (eQTL) analyses, pathway analyses, DNAse I
hypersensitivity site (DHS) mapping, chromatin mapping, manual
curation of genes in each region and zebrafish knockdown. eQTL analysis. We performed eQTL analysis using publically
available
eQTL
databases
(see
Methods). These
analyses NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications 4 4 NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 ARTICLE NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 6×10
8×10
2×10
9×10
3×10
2×10
8×10
3×10
8×10 ure 3 | Bioinformatic analysis of eGFR-associated SNPs. Connection of eGFR-associated SNPs to gene expression and Figure 3 | Bioinformatic analysis of eGFR-associated SNPs. Connection of eGFR-associated SNPs to gene expression and variant function across a variety
of tissues, pathways and regulatory marks was considered. (a) The DEPICT method shows that implicated eGFR-associated genes are highly expressed in
particular tissues, including kidney and urinary tract. Shown are permutation test P values (see Methods). (b) Enrichment of eGFRcrea-associated SNPs in
DHS according to discovery P value threshold. SNPs from the eGFR discovery genome-wide scan meeting a series of P value thresholds in the range 10 4–
10 16 preferentially map to DHSs, when compared with a set of control SNPs, in 6 of 123 cell types. Represented are main effects odds ratios from a
logistic mixed effect model. Cell types indicated with coloured lines had nominally significant enrichment (* indicate P values o0.05) at the P value
o10 16 threshold and/or were derived from renal tissues (H7esDiffa2d: H7 embryonic stem cells, differentiated 2 days with BMP4, activin A and bFGF;
Hae, amniotic epithelial cells; Hrce, renal cortical epithelial cells; Hre, renal epithelial cells; Hrgec, renal glomerular endothelial cells; Rptec, renal proximal
tubule epithelial cells; Saec, small airway epithelial cells). (c) ENCODE/Chromatin ChIP-seq mapping: known and replicated novel eGFRcrea-associated
SNPs and their perfect proxies were annotated based on genomic location using chromatin annotation maps from different tissues including adult kidney
epithelial cells. P values from Fishers’ exact tests for 2 2 tables are reported (significance level ¼ 5.6 10 3, see Methods). There is significant
enrichment of variants mapping to enhancer regions specifically in kidney but not other non-renal tissues. (to ensure relative homogeneity of the beta coefficients); (3)
nearest gene if the signal was located in a region containing a
single gene. Using this approach, NFKB1, DPEP1, TSPAN9,
NFATC1, WNT7A, PTPRO, SYPL2, UNCX, KBTBD2, SKIL and
A1CF were prioritized as likely genes underlying effects at the
new loci (Supplementary Table 12). complementary
analytic,
bioinformatic
and
functional
approaches indicate enrichment of implicated gene products in
kidney and urinary tract tissues. A greater proportion of the lead
SNPs or their perfect proxies map into gene regulatory regions,
specifically enhancers, in adult renal tissues compared with non-
renal tissues. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 Endocrine
a
b
c
Transcription associated
Poised promoter
Active promoter (strong or weak)
Enhancer (strong or weak)
Proportion
OR eGFRcrea SNP in DHS
(relative to Eur. GWAS Catalog P<5×10–8)
–log10 (P value)
*
**
**
*
*
*
*
*
*
*
*
*
*
*
0
1
2
3
4
Cardiovascular
Digestive
Hemic and immune
Integumentary
Musculoskeletal
Nervous
Respiratory
Stomatognathic
Urogenital
Physiological system
Liver
Adrenal cortex
Adrenal glands
Urinary tract
Kidney
Repressed or not mapped region
Insulator
4
5
6
3
2
1
0
1
0.8
0.6
0.4
0.2
0.0
–log10(eGFRcrea P value) threshold
6
4
8
10
12
14
16
Human renal glome-
rular endothelial cells
Small airway
epithelial cells
Human amniotic
epithelial cells
Human renal
epithelial cells
H7 embryonic stem
cells, diff. 2 days
Human renal cortical
epithelial cells
Renal proximal tubule
epithelial cells
Adult
kidney
Tissue type
HepG2
H1
hESC
HSMM
NHLF
K562
GM
12878
NHEK
HMEC
HUVEC
P value comparing proportion of GWAS SNPs in enhancer regions
between adult renal and other tissue types
Ref. 6×10
–4
8×10
–6
2×10
–6
9×10
–5
3×10
–4
2×10
–5
8×10
–6
3×10
–3
8×10
–6
Figure 3 | Bioinformatic analysis of eGFR-associated SNPs. Connection of eGFR-associated SNPs to gene expression and variant function across a variety
of tissues, pathways and regulatory marks was considered. (a) The DEPICT method shows that implicated eGFR-associated genes are highly expressed in
particular tissues, including kidney and urinary tract. Shown are permutation test P values (see Methods). (b) Enrichment of eGFRcrea-associated SNPs in
DHS according to discovery P value threshold. SNPs from the eGFR discovery genome-wide scan meeting a series of P value thresholds in the range 10 4–
10 16 preferentially map to DHSs, when compared with a set of control SNPs, in 6 of 123 cell types. Represented are main effects odds ratios from a
logistic mixed effect model. Cell types indicated with coloured lines had nominally significant enrichment (* indicate P values o0.05) at the P value
o10 16 threshold and/or were derived from renal tissues (H7esDiffa2d: H7 embryonic stem cells, differentiated 2 days with BMP4, activin A and bFGF;
Hae, amniotic epithelial cells; Hrce, renal cortical epithelial cells; Hre, renal epithelial cells; Hrgec, renal glomerular endothelial cells; Rptec, renal proximal
tubule epithelial cells; Saec, small airway epithelial cells). NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 In addition to the importance in the adult kidney,
our results indicate a role for kidney function variants during
development. (to ensure relative homogeneity of the beta coefficients); (3)
nearest gene if the signal was located in a region containing a
single gene. Using this approach, NFKB1, DPEP1, TSPAN9,
NFATC1, WNT7A, PTPRO, SYPL2, UNCX, KBTBD2, SKIL and
A1CF were prioritized as likely genes underlying effects at the
new loci (Supplementary Table 12). We investigated the role of these genes during vertebrate
kidney development by examining the functional consequences of
gene
knockdown
in
zebrafish
embryos
utilizing
antisense
morpholino oligonucleotide (MO) technology. After knockdown,
we assessed the expression of established renal markers pax2a
(global kidney), nephrin (podocytes) and slc20a1a (proximal
tubule) at 48 hours post fertilization by in situ hybridization12. In
all cases, morphant embryos did not display significant gene
expression defects compared with controls (Supplementary
Table 15). We extend our previous findings, as well as those from other
groups7–13 by identifying 450 genomic loci for kidney function,
many of which were not previously known to be connected to
kidney function and disease. Using a discovery data set that is
nearly double in size to our prior effort7, we are now able to
robustly link associated SNPs to kidney-specific gene regulatory
function. Our work further exemplifies the continued value of
increasing the sample size of GWAS meta-analyses to uncover
additional loci and gain novel insights into the mechanisms
underlying common phenotypes26. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 The difference between kidney and non-renal tissues
was particularly evident for marks that define enhancers: the
proportion of SNPs mapping to weak and strong enhancer
regions in the kidney tissue was higher than in all non-kidney
tissues
(Fishers’
exact
test
P
values
from
3.1 10 3
to
7.9 10 6, multiple testing threshold a ¼ 5.6 10 3). Next, we analysed the overlap of the same set of SNPs with
H3K4me3 chromatin marks, promoter-specific histone modifica-
tions associated with active transcription24, in order to gather
more information about cell-type specific regulatory potential of
eGFRcrea-associated SNPs. Comparing 33 available adult-derived
cell types, we found that eGFRcrea-associated SNPs showed the
most significant overlap with H3K4me3 peaks in adult kidney (P
value ¼ 0.0029), followed by liver (P value ¼ 0.0117), and rectal
mucosa (P value ¼ 0.0445). Taken together, these findings are
suggestive of cell-type-specific regulatory roles for eGFR loci, with
greatest specificity for the kidney. Functional characterization of new loci. To prioritize genes for
functional studies, we applied gene prioritization algorithms
including GRAIL25, DEPICT and manual curation of selected
genes in each region (Supplementary Table 12). For each region,
gene selection criteria were as follows: (1) either GRAIL P value
o0.05 or DEPICT false discovery rate (FDR) o0.05; (2) the
effect of a given allele on eGFRcrea and on eGFRcys was
direction-consistent and their ratio was between 0.2 and 5 5 NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications 5 ARTICLE NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 (c) ENCODE/Chromatin ChIP-seq mapping: known and replicated novel eGFRcrea-associated
SNPs and their perfect proxies were annotated based on genomic location using chromatin annotation maps from different tissues including adult kidney
epithelial cells. P values from Fishers’ exact tests for 2 2 tables are reported (significance level ¼ 5.6 10 3, see Methods). There is significant
enrichment of variants mapping to enhancer regions specifically in kidney but not other non-renal tissues. b
OR eGFRcrea SNP in DHS
(relative to Eur. GWAS Catalog P<5×10–8)
*
**
**
*
*
*
*
*
*
*
*
*
*
*
4
5
6
3
2
1
0
–log10(eGFRcrea P value) threshold
6
4
8
10
12
14
16
Human renal glome-
rular endothelial cells
Small airway
epithelial cells
Human amniotic
epithelial cells
Human renal
epithelial cells
H7 embryonic stem
cells, diff. 2 days
Human renal cortical
epithelial cells
Renal proximal tubule
epithelial cells Endocrine
a
–log10 (P value)
0
1
2
3
4
Cardiovascular
Digestive
Hemic and immune
Integumentary
Musculoskeletal
Nervous
Respiratory
Stomatognathic
Urogenital
Liver
Adrenal cortex
Adrenal glands
Urinary tract
Kidney b
8 a Endocrine
c
Transcription associated
Poised promoter
Active promoter (strong or weak)
Enhancer (strong or weak)
Proportion
OR
(relative to
*
0
Cardiovascular
Digestive
Hemic and immune
Integumentary
Musculoskeletal
Nervous
Respiratory
Stomatognathic
Urogenital
Physiological system
Repressed or not mapped region
Insulator
1
0
1
0.8
0.6
0.4
0.2
0.0
–log10(eGFRcrea P value) threshold
6
4
8
10
12
14
16
Human renal glome-
rular endothelial cells
Adult
kidney
Tissue type
HepG2
H1
hESC
HSMM
NHLF
K562
GM
12878
NHEK
HMEC
HUVEC
P value comparing proportion of GWAS SNPs in enhancer regions
between adult renal and other tissue types
Ref. 6×10
–4
8×10
–6
2×10
–6
9×10
–5
3×10
–4
2×10
–5
8×10
–6
3×10
–3
8×10
–6 c
Transcription associated
Poised promoter
Active promoter (strong or weak)
Enhancer (strong or weak)
Proportion
Physiological system
Repressed or not mapped region
Insulator
1
0.8
0.6
0.4
0.2
0.0
Adult
kidney
Tissue type
HepG2
H1
hESC
HSMM
NHLF
K562
GM
12878
NHEK
HMEC
HUVEC
P value comparing proportion of GWAS SNPs in enhancer regions
between adult renal and other tissue types
Ref. 6×10
–4
8×10
–6
2×10
–6
9×10
–5
3×10
–4
2×10
–5
8×10
–6
3×10
–3
8×10
–6 c P value comparing proportion of GWAS SNPs in enhancer regions
between adult renal and other tissue types
Ref. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 BBS2 protein complex
Decreased percent body
fat
Monosaccharide
transmembrane
transporter activity
Hexose transmembrane
transporter activity
Glucose transmembrane
transporter activity
Renal tubule atrophy
Kidney cortex atrophy
Decreased kidney weight
Abnormal kidney cortex
morphology
Urogenital system
development
Gene set P values
Gene set overlap
Low
Medium
High
P < 10–5
P < 10–6
P < 10–7
Increased liver weight
Organic anion
transmembrane
transporter activity
Negative regulation of
cysteine-type
endopeptidase activity
RXRA protein complex
NCOA3 protein complex
Decreased embryo size
Renal system
development
Abnormal placenta
morphology
Partial embryonic
lethality during
organogenesis
Figure 4 | Gene set overlap analysis. The 19 reconstituted gene sets with P valueo10 5 were considered. Their overlap was estimated by computing the
pairwise Pearson correlation coefficient r between each pair of gene sets followed by discretization into one of three bins: 0.3rro0.5, low overlap;
0.5rro0.7, medium overlap; rZ0.7, high overlap. Overlap is shown by edges between gene set nodes and edges representing overlap corresponding to
ro0.3 are not shown. The network was drawn with Cytoscape48. BBS2 protein complex Organic anion
transmembrane
transporter activity Negative regulation of
cysteine-type
endopeptidase activity Renal system
development Figure 4 | Gene set overlap analysis. The 19 reconstituted gene sets with P valueo10 5 were considered. Their overlap was estimated by computing the
pairwise Pearson correlation coefficient r between each pair of gene sets followed by discretization into one of three bins: 0.3rro0.5, low overlap;
0.5rro0.7, medium overlap; rZ0.7, high overlap. Overlap is shown by edges between gene set nodes and edges representing overlap corresponding to
ro0.3 are not shown. The network was drawn with Cytoscape48. metabolically active organ that receives 20% of all cardiac output,
contains an extensive endothelium-lined capillary network, and is
sensitive to ischaemic and toxic injury. As a result, hypertension,
cardiovascular diseases and diabetes each affect renal hemody-
namics and contribute to kidney injury. However, many of the
eGFR-associated SNPs in our GWAS could be assigned gene
regulatory function specifically in the kidney and its epithelial
cells, but not in human glomerular endothelial cells or the general
vasculature. In addition, variants associated with eGFR were not
associated with vascular traits, such as blood pressure or
myocardial infarction. Taken together, these findings suggest
that genetic determinants of eGFR may be mediated largely
through direct effects within the kidney. NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 phenotype upon gene knockdown does not mean that the gene
cannot be the one underlying the observed association signal in
humans. Finally, our conclusions that eGFRcrea-associated SNPs
regulate the expression of nearby genes specifically in kidney
epithelial cells are based on DHSs, H3K4me3 chromatin marks
and chromatin annotation maps. Since these analyses rely mostly
on variant positions, additional functional investigation such as
luciferase assay that assess transcriptional activity more directly
are likely to gain additional insights into the variants’ mechanism
of action. The kidney specificity for loci we identified may have
important translational implications, particularly since our DHS
and chromatin annotation analyses suggest that at least a set of
gene regulatory mechanisms is important in the adult kidney. Kidney-specific pathways are important for the development of
novel therapies to prevent and treat CKD and its progression with
minimal risk of toxicity to other organs. Finally, the biologic
insights provided by these new loci may help elucidate novel
mechanisms and pathways implicated not only in CKD but also
of kidney function in the physiological range. Second, despite the specificity related to renal processes, we
also identified several SNPs that are associated with eGFR in
diabetes,
and
our
pathway
analyses
uncovered
gene
sets
associated with glucose transporter activity and abnormal glucose
homeostasis. Uncovering bona fide genetic loci for diabetic CKD
has been difficult. We have now identified a total of 19 SNPs that
demonstrate at least nominal association with eGFR in diabetes. The diabetes population is at particularly high risk of CKD, and
identifying kidney injury pathways may help develop new
treatments for diabetic CKD. y
p y
g
g
In conclusion, we have confirmed 29 genomic loci and
identified 24 new loci in association with kidney function that
together highlight target organ-specific regulatory mechanisms
related to kidney function. Finally, even though CKD is primarily a disease of the elderly,
our
pathway
enrichment
analyses
highlight
developmental
processes relevant to the kidney and the urogenital tract. Kidney
disease has been long thought to have developmental origins, in
part related to early programming (Barker hypothesis)27, low
birth weight, nephron endowment and early growth and early-life
nutrition28. Our pathway enrichment analyses suggest that
developmental pathways such as placental morphology, kidney
weight and embryo size, as well as protein complexes of
importance in renal development may in part contribute to the
developmental origins of CKD. Discussion
d
fi There are several messages from our work. First, many of the
genetic variants associated with eGFR appear to affect processes
specifically within the kidney. The kidney is a highly vascular and Discussion
We identified 24 new loci in association with eGFR and
confirmed
29
previously
identified
loci. A
variety
of 6 ARTICLE ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 estimated to test for consistent effect direction with the discovery stage); (3) q-value
o0.05 in the replication stage. Q-values were estimated using the package
QVALUE36 in R. The tuning parameter lambda for the estimation of the overall
proportion of true null hypotheses, p0, was estimated using the bootstrap
method37. When the third criterion was not satisfied, the locus was declared
‘suggestive’. o15ml min per 1.73m2 were set to 15, and those 4200 were set to 200mlmin 1
per 1.73 m2. CKD was defined as eGFRcrea o60ml min 1 per 1.73 m2. o15ml min per 1.73m2 were set to 15, and those 4200 were set to 200mlmin 1
per 1.73 m2. CKD was defined as eGFRcrea o60ml min 1 per 1.73 m2. Diabetes was defined as fasting glucose Z126 mg dl 1, pharmacologic
treatment for diabetes or by self-report. In all studies, diabetes and kidney function
were assessed at the same point in time. Genotypes. Genotyping was conducted in each study as specified in
Supplementary Tables 18 and 19. After applying appropriate quality filters, 45
studies used markers of highest quality to impute B2.5 million SNPs, based on
European-ancestry haplotype reference samples (HapMap II CEU). Four studies
based their imputation on the 1000 Genomes Project data. Imputed genotypes were
coded as the estimated number of copies of a specified allele (allelic dosage). Power analysis. With the sample size achieved in the combined analysis of stage 1
and stage 2 data, the power to assess replication at the canonical genome-wide
significance level of 5.0 10 8 was estimated with the software QUANTO38
version 1.2.4, assuming the same MAF and effect size observed in the discovery
sample. Power to replicate associations ranged from 87 to 100% for eGFRcrea
associated SNPs (median ¼ 98%), from 72 to 96% for the CKD-associated SNPs,
and was equal to 59% for the eGFRcys-associated SNP (Supplementary Table 3). Genome-wide association analysis. By following a centralized analysis plan, each
study regressed sex- and age-adjusted residuals of the logarithm of eGFRcrea or
eGFRcys on SNP dosage levels. Logistic regression of CKD status was performed
on SNP dosage levels adjusting for sex and age. For all traits, adjustment for
appropriate study-specific features, including study site and genetic principal
components was included in the regression and family-based studies appropriately
accounted for relatedness. Associations stratified by diabetes and hypertension status. Proportion of phenotypic variance explained. The percent of phenotypic
53 Proportion of phenotypic variance explained. The percent of phenotypic
variance explained by novel and known loci was estimated as P
53
i¼1
R2
i , where
R2
i ¼ b2
i varðSNPiÞ=varðyÞ is the coefficient of determination for each of the 53
individual SNPs associated with eGFRcrea uncovered to date (24 novel and 29
known ones), bi is the estimated effect of the ith SNP on y, y corresponds to the sex-
and age-adjusted residuals of the logarithm of eGFRcrea and var(SNPi) ¼ 2
MAFSNPi (1 MAFSNPi)39. Var(y) was estimated in the ARIC study and all loci
were assumed to have independent effects on the phenotype. R2
i ¼ b2
i varðSNPiÞ=varðyÞ is the coefficient of determination for each of the 53
individual SNPs associated with eGFRcrea uncovered to date (24 novel and 29
known ones), bi is the estimated effect of the ith SNP on y, y corresponds to the sex-
and age-adjusted residuals of the logarithm of eGFRcrea and var(SNPi) ¼ 2
MAFSNPi (1 MAFSNPi)39. Var(y) was estimated in the ARIC study and all loci
were assumed to have independent effects on the phenotype. After removing SNPs with MAF of o0.05 and which were available in o50%
of the studies, SNPs with a P value of r10 6 were selected and clustered into
independent loci through LD pruning based on an r2 of r0.2 within a window of
±1 MB to each side of the index SNP. After removing loci containing variants that
have been previously replicated at a P value of 5.0 10 8 (refs 7,8), the SNP with
the lowest P value within each locus was selected for replication (‘index SNP’). If a
SNP had an association P value of r10 6 with more than one trait, the trait where
the SNP had the lowest P value was selected as discovery trait/stratum. Altogether,
this resulted in 48 SNPs: 34 from eGFRcrea, 9 from eGFRcrea among those without
diabetes, 4 from CKD and 1 from eGFRcys. Test for SNP associations with related traits. We performed evaluations of SNP
association with results generated from consortia investigating other traits. Speci-
fically, we evaluated systolic and diastolic blood pressure in ICBP17, myocardial
infarction in CARDiOGRAM18, left ventricular mass19, heart failure20, the urinary
albumin to creatinine ratio (CKDGen consortium, personal communication) and
fasting plasma glucose in MAGIC21. ARTICLE For all the 24
novel and 29 known SNPs, the difference between the SNP effect on eGFRcrea in
the diabetes versus the non-diabetes groups was assessed by means of a two-sample
t-test for correlated data at a significance level of 0.05. We used the following two-
sample t-test for correlated data: bDM bnonDM
ð
Þ t ¼
bDM bnonDM
ð
Þ
s:e: bDM
ð
Þ2 þ s:e: bnonDM
ð
Þ2 2r bDM; bnonDM
ð
Þs:e: bDM
ð
Þs:e: bnonDM
ð
Þ
0:5 ; t ¼
s:e: bDM
ð
Þ2 þ s:e: bnonDM
ð
Þ2 2r bDM; bnonDM
ð
Þs:e: bDM
ð
Þs:e
Stage 1 discovery meta-analysis. GWAS of eGFRcrea were contributed by 48
studies (total sample size, N ¼ 133,413); 45 studies contributed GWAS data for the
non-diabetes subgroup (N ¼ 118,448) and 39 for the diabetes group (N ¼ 11,522). GWAS of CKD were comprised by 43 studies, for a total sample size of 117,165,
including 12,385 CKD cases. GWAS of eGFRcys were comprised by 16 studies for a
total sample size of 32,834. All GWAS files underwent quality control using the
GWAtoolbox package32 in R, before including them into the meta-analysis. Genome-wide meta-analysis was performed with the software METAL33, assuming
fixed effects and using inverse-variance weighting. The genomic inflation factor l
was estimated for each study as the ratio between the median of all observed test
statistics (b/s.e.)2 and the expected median of a w2 with 1 degree of freedom, with b
and s.e. representing the effect of each SNP on the phenotype and its standard
error, respectively34. Genomic-control (GC) correction was applied to P values and
s.e.’s in case of l41 (first GC correction). SNPs with an average minor allele
frequency (MAF) of Z0.01 were used for the meta-analysis. To limit the possibility
of false positives, after the meta-analysis, a second GC correction on the aggregated
results was applied. Between-study heterogeneity was assessed through the I2
statistic. Stage 1 discovery meta-analysis. GWAS of eGFRcrea were contributed by 48
studies (total sample size, N ¼ 133,413); 45 studies contributed GWAS data for the
non-diabetes subgroup (N ¼ 118,448) and 39 for the diabetes group (N ¼ 11,522). GWAS of CKD were comprised by 43 studies, for a total sample size of 117,165,
including 12,385 CKD cases. GWAS of eGFRcys were comprised by 16 studies for a
total sample size of 32,834. ARTICLE All GWAS files underwent quality control using the
GWAtoolbox package32 in R, before including them into the meta-analysis. Genome-wide meta-analysis was performed with the software METAL33, assuming
fixed effects and using inverse-variance weighting. The genomic inflation factor l
was estimated for each study as the ratio between the median of all observed test
statistics (b/s.e.)2 and the expected median of a w2 with 1 degree of freedom, with b
and s.e. representing the effect of each SNP on the phenotype and its standard
error, respectively34. Genomic-control (GC) correction was applied to P values and
s.e.’s in case of l41 (first GC correction). SNPs with an average minor allele
frequency (MAF) of Z0.01 were used for the meta-analysis. To limit the possibility
of false positives, after the meta-analysis, a second GC correction on the aggregated
results was applied. Between-study heterogeneity was assessed through the I2
statistic. Stage 1 discovery meta-analysis. GWAS of eGFRcrea were contributed by 48
studies (total sample size, N ¼ 133,413); 45 studies contributed GWAS data for the
non-diabetes subgroup (N ¼ 118,448) and 39 for the diabetes group (N ¼ 11,522). GWAS of CKD were comprised by 43 studies, for a total sample size of 117,165,
including 12,385 CKD cases. GWAS of eGFRcys were comprised by 16 studies for a
total sample size of 32,834. All GWAS files underwent quality control using the
GWAtoolbox package32 in R, before including them into the meta-analysis. 33 Stage 1 discovery meta-analysis. GWAS of eGFRcrea were contributed by 48
studies (total sample size, N ¼ 133,413); 45 studies contributed GWAS data for the
non-diabetes subgroup (N ¼ 118,448) and 39 for the diabetes group (N ¼ 11,522). GWAS of CKD were comprised by 43 studies, for a total sample size of 117,165,
including 12,385 CKD cases. GWAS of eGFRcys were comprised by 16 studies for a
total sample size of 32,834. All GWAS files underwent quality control using the
GWAtoolbox package32 in R, before including them into the meta-analysis. G
id
l
i
f
d
i h h
f
METAL33
i where bDM and bnonDM represent the SNP effects on log(eGFRcrea) in the two
groups, s.e. is the standard error of the estimate and r(.) indicates the correlation
between effects in the two groups, which was estimated as 0.044 by sampling
100,000 independent SNPs from our DM and nonDM GWAS, after removing
known and novel loci associated with eGFRcrea. Proportion of phenotypic variance explained. The percent of phenotypic
53 In total, we performed 165 tests,
corresponding to 7 traits tested for association against each of the 24 novel SNP,
with the exception of myocardial infarction for which results from 3 SNPs were not
available (Supplementary Table 6). Significance was evaluated at the Bonferroni
corrected level of 0.05/165 ¼ 0.0003. Stage 2 replication analysis. In silico replication analysis for any of the studied
traits was carried out using eight independent studies whose genotyping platforms
are provided in Supplementary Table 19. De novo genotyping was performed in
seven additional studies (N ¼ 22,850 individuals) of European ancestry
(Supplementary Table 20), including the Bus Sante´, ESTHER, KORA-F3 (subset of
F3 without GWAS), KORA-F4 (subset of F4 without GWAS), Ogliastra Genetic
Park (OGP, without Talana whose GWAS was included in the discovery analysis),
SAPHIR and SKIPOGH studies (Supplementary Table 20). Summarizing all in
silico and de novo replication studies (Supplementary Table 1), replication data for
eGFRcrea were contributed by 14 studies (total sample size ¼ 42,166), which also
contributed eGFRcrea results from non-diabetes (13 studies, N ¼ 36,433) and
diabetes samples (13 studies, N ¼ 4,955). Thirteen studies contributed replication
data on CKD (N ¼ 33,972; 4,245 CKD cases; studies with o50 CKD cases were
excluded) and five on eGFRcys (N ¼ 14,930). Lookup of replicated loci in the NHGRI GWAS catalog. All replicated SNPs, as
well as SNPs in LD (r240.2) within ±1 MB distance were checked for their
association with other traits according to the NHGRI GWAS catalog40 (accessed
April 14, 2014). SNP assessments in other ethnic groups. We performed cross-ethnicity SNP
evaluations in participants of African ancestry from a meta-analysis of African
ancestry individuals and from participants of Asian descent from the AGEN
consortium11. SNP assessments in other ethnic groups. We performed cross-ethnicity SNP
evaluations in participants of African ancestry from a meta-analysis of African
ancestry individuals and from participants of Asian descent from the AGEN
consortium11. )
y (
)
Association between eGFRcrea, CKD and eGFRcys and each of the 48 SNPs in
the replication studies was assessed using the same analysis protocol detailed for
the discovery studies above. Quality control of the replication files was performed
with the same software as described above. African ancestry meta-analysis. We performed fixed-effect meta-analysis of the
genome-wide association data from 12 African ancestry studies (Supplementary
Table 8) with imputation to HapMap reference panel, based on inverse-variance
weighting using METAL. Methods
Overview Methods
Overview. This was a collaborative meta-analysis with a distributive data model. Briefly, an analysis plan was created and circulated to all participating studies. Studies
then uploaded study-specific data centrally; files were cleaned, and a specific
meta-analysis for each trait was performed. Details regarding each step are
provided below. All participants in all discovery and replication studies provided
informed consent. Each study had its research protocol approved by the local
ethics committee. Phenotype definitions. Serum creatinine was measured in each discovery and
replication study as described in Supplementary Tables 16 and 17, and statistically
calibrated to the US nationally representative National Health and Nutrition
Examination Study data in all studies to account for between-laboratory varia-
tion9,29,30. eGFRcrea was estimated using the four-variable Modification of Diet in
Renal Disease Study Equation. Cystatin C, an alternative biomarker for kidney
function, was measured in a sub-set of participating studies. eGFRcys was estimated
as 76.7 (serum cystatin C) 1.19 (ref. 31). eGFRcrea and eGFRcys values g
A limitation of our work is that causal variants and precise
molecular mechanisms underlying the observed associations were
not identified and will require additional experimental follow-up
projects. Our attempt to gain insights into potentially causal
genes through knockdown in zebrafish did not yield any clear
CKD candidate gene, although the absence of a zebrafish 7 ARTICLE For a large sample size, as in our
case, t follows a standard normal distribution. A similar analysis was performed to compare results in subjects with and
without hypertension, based on results from our previous work7. The correlation
between the two strata was of 0.01. ARTICLE We tested whether the proportion of SNPs
pointing to either strong or weak enhancers in the human kidney tissue cells was
different from that of the other nine tissues by means of a Fishers’ exact test for
2 2 tables, contrasting each of the nine cell lines listed above against the reference
kidney cell line, at a Bonferroni-corrected significance level of 0.05/9 ¼ 5.6 10 3. Gene Relationships Across Implicated Loci (GRAIL). To prioritize the gene(s)
most likely to give rise to association signals in a given region, the software GRAIL
was used25. The index SNP of all previously known kidney function associated
regions, as well as the novel SNPs identified here was used as input, using the CEU
HapMap (hg18 assembly) and the functional datasource text_2009_03, established
before the publication of kidney function-related GWAS. Results from GRAIL were
used to prioritize genes for follow-up functional work. Expression quantitative trait loci analysis. We identified alias rsIDs and proxies
(r240.8) for our index SNPs using SNAP software across 4 HapMap builds. SNP
rsIDs and aliases were searched for primary SNPs and LD proxies against a
collected database of expression SNP (eSNP) results. The collected eSNP results
met criteria for statistical thresholds for association with gene transcript levels in
their respective original analyses (for references see Supplementary Table 11). Correlation of selected eSNPs to the best eSNPs per transcript per expression
quantitative trait loci (eQTL) data set were assessed by pairwise LD. All results
are reported in Supplementary Table 11. DEPICT analysis. In this work, we first used PLINK42 to identify independently
associated SNPs using all SNPs with eGFRcrea association P values o10 5
(HapMap release 27 CEU data43; LD r2 threshold ¼ 0.01; physical kb threshold
¼ 1,000). We then used the DEPICT method23 to construct associated regions by
mapping genes to independently associated SNPs if they overlapped or resided
within LD (r240.5) distance of a given associated SNP. After merging overlapping
regions and discarding regions that mapped within the major histocompatibility
complex locus (chromosome 6, base pairs 20,000,000–40,000,000), 124 non-
overlapping regions remained that covered a total of 320 genes. ARTICLE ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 of Trans-ethnic Association studies) software22. We combined the 48 European
ancestry studies that contributed eGFRcrea, which were included in stage 1
discovery meta-analysis, and the 12 African ancestry studies mentioned above for a
total sample size of 150,253 samples. We limited our analysis to biallelic SNPs with
MAF Z0.01 and imputation quality r2Z0.3. Relatedness between the 60 studies
was estimated using default settings from up to 5.9 million SNPs. Only SNPs that
were present in more than 25 European ancestry studies and 6 African ancestry
studies (total sample size Z120,000) were considered after meta-analysis. Genome-
wide significance was defined as a log10 Bayes’ Factor (log10BF) Z6 (ref. 41). Interrogation of human kidney chromatin annotation maps. Different chro-
matin modification patterns can be used to generate tissue-specific chromatin-state
annotation maps. These can serve as a valuable resource to discover regulatory
regions and study their cell-type-specific distributions and activities, which may
help with the interpretation especially of intergenic variants identified in associa-
tion studies45. We therefore investigated the genomic mapping of the known and
replicated novel index SNPs, as well as their perfect LD proxies (n ¼ 173, r2 ¼ 1 for
proxies) using a variety of resources, including chromatin maps generated from
human kidney tissue cells (HKC-E cells). Chromatin immune-precipitation
sequencing (ChIP-seq) data from human kidney samples were generated by NIH
Roadmap Epigenomics Mapping Consortium46. Briefly, proximal tubule cells
derived from an adult human kidney were collected and cross-linked with 1%
formaldehyde. Subsequently, ChIP-seq was conducted using whole-cell extract
from adult kidney tissue as the input (GSM621638) and assessing the following
chromatin marks: H3K36me3 (GSM621634), H3K4me1 (GSM670025), H3K4me3
(GSM621648), H3K9ac (GSM772811) and H3K9me3 (GSM621651). The MACS
version 1.4.1 (model-based analysis of ChIP-Seq) peak-finding algorithm was used
to identify regions of ChIP-Seq enrichment47. A FDR threshold of enrichment of
0.01 was used for all data sets. The resulting genomic coordinates in bed format
were further used in ChromHMM v1.06 for chromatin annotation45. For
comparison, the same genomic coordinates were investigated in chromatin
annotation maps of renal tissue, as well as across nine different cell lines from the
ENCODE Project: umbilical vein endothelial cells (HUVEC), mammary epithelial
cells (HMEC), normal epidermal keratinocytes (NHEK), B-lymphoblastoid cells
(GM12878), erythrocytic leukemia cells (K562), normal lung fibroblasts (NHLF),
skeletal muscle myoblasts (HSMM), embryonic stem cells (H1 ES) and
hepatocellular carcinoma cells (HepG2). ARTICLE Finally, we ran the
DEPICT software program on the 124 regions to prioritize genes that may
represent promising candidates for experimental follow up studies, identify
reconstituted gene sets that are enriched in genes from associated regions and
therefore may provide insight into general kidney function biology, and identify
tissue and cell-type annotations in which genes from associated regions are highly
expressed. Specifically, for each tissue, the DEPICT method performs a t-test
comparing the tissue-specific expression of eGFRcrea-associated genes and all
other genes. Next, for each tissue, empirical enrichment P values are computed by
repeatedly sampling random sets of loci (matched to the actual eGFRcrea loci by
gene density) from the entire genome to estimate the empirical mean and s.d. of the
enrichment statistic’s null distribution. To visualize the nineteen reconstituted gene
sets with P value o1e 5 (Fig. 4), we estimated their overlap by computing the
pairwise Pearson correlation coefficient r between each pair of gene sets followed
by discretization into one of three bins; 0.3rro0.5, low overlap; 0.5rro0.7,
medium overlap; rZ0.7, high overlap. Functional characterization of new loci. Replicated gene regions were prioritized
for functional studies using the following criteria: (1) GRAIL identification of a
gene in each region of P valueo0.05 or DEPICT, FDR o0.05); (2) an eGFRcrea to
eGFRcys ratio between 0.2 and 5 with direction consistency between the beta
coefficients; (3) nearest gene if the signal was located in a gene-poor region. The list
of genes selected for functional work can be found in Supplementary Table 12. This
same prioritization scheme was also used to assign locus names. Morpholino
knockdowns were performed in zebrafish. Zebrafish (strain Tu¨bingen, TU) were maintained according to established
Harvard Medical School Institutional Animal Care and Use Committee protocols
(protocol # 04626). Male and female fish were mated (age 6–12 months) for
embryo production. Embryos were injected at the one-cell stage with MOs
(GeneTools) designed to block either the ATG start site or an exon–intron splice
site of the target gene (Supplementary Table 21). In cases where human loci are
duplicated in zebrafish, both orthologues were knocked down simultaneously by
combination MO injection. MOs were injected in escalating doses at
concentrations up to 250 mM. Embryos were fixed in 4% paraformaldehyde at 48 h
post fertilization for in situ hybridization using published methods (http://zfin.org/
ZFIN/Methods/ThisseProtocol.html). ARTICLE Gene expression was visualized using
established renal markers pax2a (global kidney), nephrin (podocytes) and slc20a1a
(proximal tubule). The number of morphant embryos displaying abnormal gene
expression was compared with control embryos by means of a Fisher’s exact test. DNase I hypersensitivity analysis. The overlap of SNPs associated with eGFR-
crea at Po10 4 with DHSs was examined using publically available data from the
Epigenomics Roadmap Project and ENCODE. In all, DHS mappings were
available for 123 mostly adult cells and tissues44 (downloaded from http://
hgdownload.cse.ucsc.edu/goldenPath/hg19/encodeDCC/wgEncodeUwDnase/). The analysis here pertains to DHS’s defined as ‘broad’ peaks, which were available
as experimental replicates (typically duplicates) for the majority of cells and tissues. SNPs from our stage 1 eGFRcrea GWAS meta-analysis were first clumped in
PLINK42 in windows of 100 kb and maximum r2 of 0.1 using LD relationships
from the 1,000 Genomes EUR panel (phase I, v3, 3/14/2012 haplotypes) using a
series of P value thresholds (10 4, 10 6, 10 8, ... and 10 16). LD proxies of the
index SNPs from the clumping procedure were then identified by LD tagging in
PLINK with r2 ¼ 0.8 in windows of 100 kb, again using LD relationships in the
1000G EUR panel, restricted to SNPs with MAF 41% and also present in the
HapMap2 CEU population. A reference set of control SNPs was constructed using
the same clumping and tagging procedures applied to NHGRI GWAS catalog SNPs
(available at http://www.genome.gov/gwastudies/, accessed 13 March 2013) with
discovery P values o5.0 10 8 in European populations. In total, there were
1,204 such reference SNPs after LD pruning. A small number of reference SNPs or
their proxies overlapping with the eGFRcrea SNPs or their proxies were excluded. For each cell-type and P value threshold, the enrichment of eGFR SNPs (or their
LD proxies) mapping to DHSs relative to the GWAS catalog reference SNPs (or
their LD proxies) was expressed as an odds ratio from logistic mixed effect models
that treated the replicate peak determinations as random effects (lme4 package
in R). Significance for enrichment odds ratio was derived from the significance of
beta coefficients for the main effects in the mixed models. NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications Proportion of phenotypic variance explained. The percent of phenotypic
53 Only SNPs with MAF Z0.01 and imputation quality
r2Z0.3 were considered for the meta-analysis. After meta-analysis, we removed
SNPs with MAF o0.05 and which were available in o50% of the studies. Sta-
tistical significance was assessed at the standard threshold of 5.0 10 8. Genomic
control correction was applied at both the individual study level before meta-
analysis and after the meta-analysis. African ancestry meta-analysis. We performed fixed-effect meta-analysis of the
genome-wide association data from 12 African ancestry studies (Supplementary
Table 8) with imputation to HapMap reference panel, based on inverse-variance
weighting using METAL. Only SNPs with MAF Z0.01 and imputation quality
r2Z0.3 were considered for the meta-analysis. After meta-analysis, we removed
SNPs with MAF o0.05 and which were available in o50% of the studies. Sta-
tistical significance was assessed at the standard threshold of 5.0 10 8. Genomic
control correction was applied at both the individual study level before meta-
analysis and after the meta-analysis. We performed a combined fixed-effect meta-analysis of the double-GC
corrected results from the discovery meta-analysis and the replication studies,
based on inverse-variance weighting. The total sample size in the combined
analysis of eGFRcrea was 175,579 subjects (154,881 in the non-diabetes stratum
and 16,477 in the diabetes stratum; the sum of these two sample sizes is smaller
than the sample size of the overall analysis because some studies did not contribute
both strata), 151,137 samples for CKD (16,630 CKD cases) and 47,764 for
eGFRcys. Three criteria were used to ensure validity of novel loci declared as
significant: (1) P value from the combined meta-analysis r5.0 10 8 in
accordance with previously published guidelines35; (2) direction-consistent
associations of the beta coefficients in stage 1 and stage 2 (one-sided P values were Transethnic meta-analysis. We performed a trans-ethnic meta-analysis of GWAS
data from cohorts of different ethnic backgrounds using MANTRA (Meta-Analysis Transethnic meta-analysis. We performed a trans-ethnic meta-analysis of GWAS
data from cohorts of different ethnic backgrounds using MANTRA (Meta-Analysis 8 NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunica Author contributions Subject recruitment: C Helmer, P Hamet, TB Harris, T Aspelund, V Gudnason,
AR Shuldiner, BD Mitchell, J Coresh, WHL Kao, M Cavalieri, R Schmidt, JB Whitfield,
NG Martin, L Ferrucci, P Mitchell, I Guessous, DS Siscovick, O Devuyst, A Metspalu,
BA Oostra, CM van Duijn, BK Kra¨mer, ST Turner, S Kloiber, PS Wild, BI Freedman,
MA McEvoy, RJ Scott, AB Zonderman, MK Evans, GC Curhan, A Adeyemo, CN Rotimi,
D Cusi, A Lupo, G Gambaro, P d’Adamo, A Robino, S Ulivi, D Ruggiero, M Ciullo,
R Sorice, D Toniolo, C Gieger, C Meisinger, CA Bo¨ger, HE Wichmann, T Illig,
W Koenig, I Rudan, I Kolcic, M Boban, T Zemunik, PP Pramstaller, EP Bottinger,
BW Penninx, Å Johansson, I Persico, M Pirastu, JF Wilson, SH Wild, A Franke, G Jacobs,
GJ Navis, IM Leach, BM Buckley, I Ford, JW Jukema, N Probst-Hensch, B Paulweber,
L Kedenko, F Kronenberg, R Rettig, R Biffar, S Stracke, H Vo¨lzke, P Muntner,
JK Fernandes, MM Sale, B Ponte, D Ackermann, M Pruijm, GB Ehret, A To¨njes,
ll
l
k
k
h
k
h
k Subject recruitment: C Helmer, P Hamet, TB Harris, T Aspelund, V Gudnason,
AR Shuldiner, BD Mitchell, J Coresh, WHL Kao, M Cavalieri, R Schmidt, JB Whitfield,
NG Martin, L Ferrucci, P Mitchell, I Guessous, DS Siscovick, O Devuyst, A Metspalu,
BA Oostra, CM van Duijn, BK Kra¨mer, ST Turner, S Kloiber, PS Wild, BI Freedman,
MA McEvoy, RJ Scott, AB Zonderman, MK Evans, GC Curhan, A Adeyemo, CN Rotimi,
D Cusi, A Lupo, G Gambaro, P d’Adamo, A Robino, S Ulivi, D Ruggiero, M Ciullo,
R Sorice, D Toniolo, C Gieger, C Meisinger, CA Bo¨ger, HE Wichmann, T Illig,
W Koenig, I Rudan, I Kolcic, M Boban, T Zemunik, PP Pramstaller, EP Bottinger,
BW Penninx, Å Johansson, I Persico, M Pirastu, JF Wilson, SH Wild, A Franke, G Jacobs,
GJ Navis, IM Leach, BM Buckley, I Ford, JW Jukema, N Probst-Hensch, B Paulweber,
L Kedenko, F Kronenberg, R Rettig, R Biffar, S Stracke, H Vo¨lzke, P Muntner,
JK F
d
MM S l
B P
t
D A k
M P
ij
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J Tremblay, J Chalmers, M Woodward, P Hamet, AV Smith, A Parsa, JR O’Connell,
A Tin, A Ko¨ttgen, M Li, WHL Kao, Y Li, EG Holliday, J Attia, I Guessous, CA Peralta,
AC Morrison, JF Felix, C Pattaro, G Li, IH de Boer, O Devuyst, H Lin, A Isaacs,
V Emilsson, AD Johnson, CS Fox, M Olden, Q Yang, EJ Atkinson, M de Andrade,
ST Turner, T Zeller, J Ding, Y Liu, M Nalls, A Adeyemo, D Shriner, D Cusi, E Salvi,
V Mijatovic, D Ruggiero, R Sorice, AW Dreisbach, AY Chu, DI Chasman, CA Bo¨ger,
IM Heid, M Gorski, B Tayo, C Fuchsberger, H Snieder, IM Nolte, W Igl, K Susztak, Interpretation of results: C Helmer, JC Lambert, M Metzger, B Stengel, V Chouraki,
J Tremblay, J Chalmers, M Woodward, P Hamet, AV Smith, A Parsa, JR O’Connell,
A Tin, A Ko¨ttgen, M Li, WHL Kao, Y Li, EG Holliday, J Attia, I Guessous, CA Peralta,
AC Morrison, JF Felix, C Pattaro, G Li, IH de Boer, O Devuyst, H Lin, A Isaacs,
V Emilsson, AD Johnson, CS Fox, M Olden, Q Yang, EJ Atkinson, M de Andrade,
ST Turner, T Zeller, J Ding, Y Liu, M Nalls, A Adeyemo, D Shriner, D Cusi, E Salvi,
V Mijatovic, D Ruggiero, R Sorice, AW Dreisbach, AY Chu, DI Chasman, CA Bo¨ger,
IM Heid, M Gorski, B Tayo, C Fuchsberger, H Snieder, IM Nolte, W Igl, K Susztak, pp
38. Gauderman, W. J. Acknowledgements Study-specific acknowledgements and funding sources for participating studies are
reported in Supplementary Note. Zebrafish work was supported by NIH R01DK090311
and R24OD017870 to W.G. 18. Schunkert, H. et al. Large-scale association analysis identifies 13 new
susceptibility loci for coronary artery disease. Nat. Genet. 43, 333–338 (2011). reported in Supplementary Note. Zebrafish work was supported by NIH R01DK090311
and R24OD017870 to W.G. 19. Vasan, R. S. et al. Genetic variants associated with cardiac structure and
function: a meta-analysis and replication of genome-wide association data. JAMA 302, 168–178 (2009). Author contributions Study management: C Helmer, M Metzger, J Tremblay, J Chalmers, M Woodward,
P Hamet, G Eiriksdottir, TB Harris, T Aspelund, V Gudnason, A Parsa, AR Shuldiner,
BD Mitchell, E Boerwinkle, J Coresh, WHL Kao, R Schmidt, L Ferrucci, E Rochtchina,
JJ Wang, J Attia, P Mitchell, I Guessous, JM Gaspoz, M Bochud, DS Siscovick, O Devuyst,
P Froguel, T Esko, BA Oostra, CM van Duijn, V Emilsson, AK Dieffenbach, H Brenner,
I Borecki, CS Fox, M Rheinberger, ST Turner, S Kloiber, PS Wild, J Ding, Y Liu,
SLR Kardia, AB Zonderman, MK Evans, MC Cornelis, A Adeyemo, CN Rotimi, D Cusi,
E Salvi, PB Munroe, P Gasparini, M Ciullo, R Sorice, C Sala, D Toniolo, AW Dreisbach,
DI Chasman, C Gieger, C Meisinger, M Waldenberger, HE Wichmann, T Illig,
W Koenig, I Rudan, I Kolcic, M Boban, T Zemunik, W Ma¨rz, H Kramer, PP Pramstaller,
EP Bottinger, O Gottesman, BW Penninx, H Snieder, JH Smit, AF Wright, H Campbell,
JF Wilson, SH Wild, W Lieb, GJ Navis, BM Buckley, I Ford, JW Jukema, A Hofman,
OH Franco, M Adam, M Imboden, N Probst-Hensch, B Paulweber, L Kedenko,
F Kronenberg, S Coassin, M Haun, HK Kroemer, K Endlich, M Nauck, R Rettig,
R Biffar, S Stracke, U Vo¨lker, H Wallaschofski, H Vo¨lzke, KL Keene, MM Sale, B Ponte,
D Ackermann, M Pruijm, GB Ehret, A To¨njes, P Kovacs, JC Denny, RJ Carroll,
C Hayward, O Polasek, V Vitart, PM Ridker, J Viikari, M Ka¨ho¨nen, O Raitakari,
T Lehtima¨ki. Author contributions Study design: C Helmer, B Stengel, J Chalmers, M Woodward, P Hamet, G Eiriksdottir,
LJ Launer, TB Harris, V Gudnason, JR O’Connell, A Ko¨ttgen, E Boerwinkle, WHL Kao, Study design: C Helmer, B Stengel, J Chalmers, M Woodward, P Hamet, G Eiriksdottir
LJ Launer, TB Harris, V Gudnason, JR O’Connell, A Ko¨ttgen, E Boerwinkle, WHL Kao
P Mitchell, I Guessous, JM Gaspoz, N Bouatia-Naji, P Froguel, A Metspalu, T Esko,
BA Oostra CM van Duijn V Emilsson H Brenner I Borecki CS Fox Q Yang y
g
,
g , J
,
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LJ Launer, TB Harris, V Gudnason, JR O’Connell, A Ko¨ttgen, E Boerwinkle, WHL Ka
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l
k LJ Launer, TB Harris, V Gudnason, JR O Connell, A Kottgen, E Boerwinkle, WHL Ka
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BA Oostra, CM van Duijn, V Emilsson, H Brenner, I Borecki, CS Fox, Q Yang, BA Oostra, CM van Duijn, V Emilsson, H Brenner, I Borecki, CS Fox, Q Yang, BK Kra¨mer, PS Wild, BI Freedman, J Ding, Y Liu, AB Zonderman, MK Evans,
A Adeyemo, CN Rotimi, D Cusi, P Gasparini, M Ciullo, D Toniolo, C Gieger, 21. Dupuis, J. et al. New genetic loci implicated in fasting glucose homeostasis and
their impact on type 2 diabetes risk. Nat. Genet. 42, 105–116 (2010). C Meisinger, CA Bo¨ger, HE Wichmann, T Illig, I Rudan, W Ma¨rz, PP Pramstaller, 22. Morris, A. P. Transethnic meta-analysis of genomewide association studies. Genet. Epidemiol. 35, 809–822 (2011). EP Bottinger, BW Penninx, H Snieder, U Gyllensten, AF Wright, H Campbell, JF Wilson,
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23. Pers, T. H. et al. Biological interpretation of genome-wide association studies
using predicted gene functions. Nat. Commun. 6, 5890 (2015). F Kronenberg, K Endlich, R Rettig, R Biffar, H Vo¨lzke, JK Fernandes, MM Sale, M Pruijm, GB Ehret, A To¨njes, M Stumvoll, JC Denny, RJ Carroll, N Hastie, O Polasek,
PM Ridker, J Viikari, M Ka¨ho¨nen, O Raitakari, T Lehtima¨ki. 24. Trynka, G. et al. Chromatin marks identify critical cell types for fine mapping
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IM Heid, M Gorski, B Tayo, C Fuchsberger, H Snieder, IM Nolte, W Igl, K Susztak, NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications Author contributions Study management: C Helmer, M Metzger, J Tremblay, J Chalmers, M Woodward,
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BD Mitchell, E Boerwinkle, J Coresh, WHL Kao, R Schmidt, L Ferrucci, E Rochtchina,
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H Schmidt, GW Montgomery, L Ferrucci, M Bochud, BA Oostra, CM van Duijn,
K Butterbach, I Borecki, M de Andrade, T Zeller, Y Liu, RJ Scott, SLR Kardia,
M Nalls, FB Hu, GC Curhan, A Adeyemo, D Shriner, D Cusi, N Soranzo, P d’Adamo,
D Ruggiero, M Ciullo, R Sorice, DI Chasman, H Grallert, T Zemunik, ME Kleber,
EP Bottinger, O Gottesman, RJF Loos, AF Wright, JF Wilson, A Franke, D Ellinghaus,
JW Jukema, S Trompet, AG Uitterlinden, F Rivadeneira, F Kronenberg, S Coassin,
M Haun, F Ernst, G Homuth, HK Kroemer, M Nauck, U Vo¨lker, H Wallaschofski,
MM Sale, GB Ehret, A To¨njes, M Stumvoll, P Kovacs, CM Shaffer, JC Denny, PM Ridker,
T Lehtima¨ki. N Verweij, S Trompet, A Dehghan, B Kollerits, F Kronenberg, A Teumer, J Divers,
KL Keene, MM Sale, WM Chen, GB Ehret, I Prokopenko, R Ma¨gi, JC Denny, RJ Carroll. notyping: JC Lambert, J Tremblay, P Hamet, E Boerwinkle, WHL Kao Design, performance and interpretation of zebrafish experiments: M Garnaas,
W Goessling. E Boerwinkle, J Coresh, M Li, WHL Kao, Y Li, H Schmidt, M Cavalieri, R Schmidt,
JB Whitfield, EG Holliday, JJ Wang, J Attia, P Mitchell, I Guessous, JM Gaspoz, M Bochud, CA Peralta, AC Morrison, JF Felix, C Pattaro, DS Siscovick, IH de Boer, M Bochud, CA Peralta, AC Morrison, JF Felix, C Pattaro, DS Siscovick, IH de Boer,
M Rao, R Katz, O Devuyst, TH Pers, A Isaacs, H Brenner, M Garnaas, W Goessling, M Rao, R Katz, O Devuyst, TH Pers, A Isaacs, H Brenner, M Garnaas, W Goessling, BK Kra¨mer, M Rheinberger, ST Turner, D Czamara, S Kloiber, T Zeller, BI Freedman JM Stafford, J Ding, Y Liu, MA McEvoy, RJ Scott, SJ Hancock, JA Smith, JD Faul, SLR Kardia, AB Zonderman, M Nalls, MK Evans, FB Hu, GC Curhan, MC Cornelis, A Lupo, G Gambaro, G Malerba, M Ciullo, R Sorice, AW Dreisbach, AY Chu,
DI Chasman, C Gieger, H Grallert, C Meisinger, M Waldenberger, CA Bo¨ger, HE Wichmann, IM Heid, M Gorski, T Illig, W Koenig, I Kolcic, M Boban, T Zemunik
W Ma¨rz, B Tayo, H Kramer, SE Rosas, C Fuchsberger, D Ruderfer, EP Bottinger, O Gottesman, RJF Loos, Y Lu, H Snieder, H Campbell, A Franke, W Lieb, IM Leach,
BM Buckley, I Ford, JW Jukema, S Trompet, A Dehghan, S Sedaghat, GA Thun,
M Adam, M Imboden, N Probst-Hensch, B Kollerits, B Paulweber, L Kedenko,
b
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Ch O Gottesman, RJF Loos, Y Lu, H Snieder, H Campbell, A Franke, W Lieb, IM Leach,
BM Buckley, I Ford, JW Jukema, S Trompet, A Dehghan, S Sedaghat, GA Thun, Supplementary Information accompanies this paper at http://www.nature.com/
naturecommunications Supplementary Information accompanies this paper at http://www.nature.com/
naturecommunications M Adam, M Imboden, N Probst-Hensch, B Kollerits, B Paulweber, L Kedenko,
F Kronenberg, A Teumer, K Endlich, H Vo¨lzke, KL Keene, MM Sale, WM Chen, F Kronenberg, A Teumer, K Endlich, H Vo¨lzke, KL Keene, MM Sale, WM Chen, B Ponte, D Ackermann, M Pruijm, GB Ehret, A To¨njes, I Prokopenko, M Stumvoll, Competing financial interests: J.T. and P.H. are consultants for Servier. J.C. received
research grants and honoraria from Servier. K.S. obtained research support from
Boehringer Ingelheim. The remaining authors declared no competing financial
interests. P Kovacs, R Ma¨gi, JC Denny, O Polasek, J Viikari, LP Lyytika¨inen, M Ka¨ho¨nen,
O Raitakari, T Lehtima¨ki. Statistical methods and analysis: C Helmer, JC Lambert, M Metzger, V Chouraki,
J Tremblay, P Hamet, AV Smith, T Aspelund, A Parsa, JR O’Connell, A Tin, A Ko¨ttgen,
M Li, M Foster, WHL Kao, Y Li, H Schmidt, M Struchalin, NG Martin, RPS Middelberg,
T Tanaka, E Rochtchina, EG Holliday, I Guessous, M Bochud, JF Felix, C Pattaro, G Li,
R Katz, JN Hirschhorn, J Karjalainen, L Franke, TH Pers, L Yengo, N Bouatia-Naji,
H Lin, T Nikopensius, T Esko, A Isaacs, A Demirkan, MF Feitosa, M Olden, MH Chen,
Q Yang, SJ Hwang, M Garnaas, W Goessling, EJ Atkinson, M de Andrade, D Czamara,
S Kloiber, C Mu¨ller, JM Stafford, J Ding, K Lohman, Y Liu, JA Smith, JD Faul, M Nalls,
MC Cornelis, A Adeyemo, D Shriner, E Salvi, V Mijatovic, A Robino, S Ulivi, R Sorice,
G Pistis, M Cocca, AY Chu, DI Chasman, LM Rose, CA Bo¨ger, IM Heid, M Gorski,
ME Kleber, B Tayo, C Fuchsberger, A Saint-Pierre, D Taliun, D Ruderfer, Y Lu,
IM Nolte, PJ van der Most, S Enroth, W Igl, F Murgia, L Portas, K Susztak, YA Ko,
N Verweij, S Trompet, A Dehghan, S Sedaghat, GA Thun, M Adam, M Imboden,
N Probst-Hensch, B Kollerits, A Teumer, J Divers, WM Chen, GB Ehret, I Prokopenko,
R Ma¨gi, CM Shaffer, RJ Carroll, C Hayward, V Vitart, LP Lyytika¨inen, V Aalto. Author contributions Sample size requirements for matched case-control studies of
gene-environment interaction. Stat. Med. 21, 35–50 (2002). 39. Rosner, B. in Fundamentals of Biostatistics (Thomson-Brooks/Cole, Duxbury,
2006). 40. Welter, D. et al. The NHGRI GWAS Catalog, a curated resource of SNP-trait
associations. Nucleic Acids Res. 42, D1001–D1006 (2014). 10 NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunicat Design, performance and interpretation of zebrafish experiments: M Garnaas,
W Goessling. Drafting manuscript: J Chalmers, A Tin, A Ko¨ttgen, WHL Kao, M Bochud, CA Peralta, Drafting manuscript: J Chalmers, A Tin, A Ko¨ttgen, WHL Kao, M Bochud, CA Peralta,
C Pattaro, IH de Boer, CS Fox, M Garnaas, W Goessling, N Soranzo, CA Bo¨ger, IM Heid, g
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C Pattaro, IH de Boer, CS Fox, M Garnaas, W Goessling, N Soranzo, CA Bo¨ger, IM Heid
M Gorski, S Trompet, A Dehghan, A Teumer, KL Keene, MM Sale. M Gorski, S Trompet, A Dehghan, A Teumer, KL Keene, MM Sale. M Gorski, S Trompet, A Dehghan, A Teumer, KL Keene, MM Sale. Critical review of the manuscript: J Tremblay, J Chalmers, M Woodward, P Hamet,
TB Harris, V Gudnason, A Parsa, AR Shuldiner, BD Mitchell, A Tin, A Ko¨ttgen, Bioinformatics: JC Lambert, V Chouraki, J Tremblay, P Hamet, AV Smith, T Aspelund,
JR O’Connell, E Boerwinkle, Y Li, M Struchalin, GW Montgomery, RPS Middelberg,
T Tanaka, C Pattaro, G Li, JN Hirschhorn, J Karjalainen, L Franke, TH Pers, L Yengo,
T Esko, AD Johnson, M Olden, M Garnaas, W Goessling, D Czamara, C Mu¨ller,
JA Smith, SLR Kardia, M Nalls, E Salvi, G Malerba, V Mijatovic, P d’Adamo, S Ulivi,
R Sorice, C Sala, G Pistis, M Cocca, DI Chasman, H Grallert, M Waldenberger,
CA Bo¨ger, IM Heid, M Gorski, ME Kleber, D Taliun, O Gottesman, S Enroth, K Susztak,
YA Ko, D Ellinghaus, N Verweij, I Ford, S Trompet, F Rivadeneira, WM Chen, GB Ehret,
R Ma¨gi, CM Shaffer, JC Denny, RJ Carroll, C Hayward, LP Lyytika¨inen, V Aalto. Additional information Supplementary Information accompanies this paper at http://www.nature.com/
naturecommunications Genotyping: JC Lambert, J Tremblay, P Hamet, E Boerwinkle, WHL Kao,
H Schmidt, GW Montgomery, L Ferrucci, M Bochud, BA Oostra, CM van Duijn,
K Butterbach, I Borecki, M de Andrade, T Zeller, Y Liu, RJ Scott, SLR Kardia,
M Nalls, FB Hu, GC Curhan, A Adeyemo, D Shriner, D Cusi, N Soranzo, P d’Adamo,
D Ruggiero, M Ciullo, R Sorice, DI Chasman, H Grallert, T Zemunik, ME Kleber,
EP Bottinger, O Gottesman, RJF Loos, AF Wright, JF Wilson, A Franke, D Ellinghaus,
JW Jukema, S Trompet, AG Uitterlinden, F Rivadeneira, F Kronenberg, S Coassin,
M Haun, F Ernst, G Homuth, HK Kroemer, M Nauck, U Vo¨lker, H Wallaschofski,
MM Sale, GB Ehret, A To¨njes, M Stumvoll, P Kovacs, CM Shaffer, JC Denny, PM Ridker,
T Lehtima¨ki. 1 Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), affiliated to the University of Lu¨beck, Via Galvani 31, Bolzano 39100, Italy.
2 Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Friedrich-Loeffler-Strae 15a, Greifswald 17487,
Germany. 3 Institute for Community Medicine, University of Greifswald, Walther-Rathenau-Strasse 48, Greifswald 17487, Germany. 4 Department of Genetic
Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strau-Allee 11, Regensburg 93053, Germany.
5 Department of Nephrology, University Hospital Regensburg, Franz-Josef-Strau-Allee 11, Regensburg 93053, Germany. 6 Preventive Medicine, Brigham and
Women’s Hospital, 900 Commonwealth Avenue East, Boston, Massachusetts 02215, USA. 7 Department of Epidemiology, Johns Hopkins Bloomberg School
of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205, USA. 8 Department of Life and Reproduction Sciences, University of Verona, Strada Le
Grazie 8, Verona 37134, Italy. 9 Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, New Research
Building77 Avenue Louis Pasteur, Room 458, Boston, Massachusetts 02115, USA. 10 Institute of Genetics and Biophysics "Adriano Buzzati-Traverso"—CNR,
Via P. Castellino 111, Napoli 80131, Italy. 11 Department of Internal Medicine IV, University Hospital Freiburg, Berliner Allee 29, Freiburg 79110, Germany.
12 Division of Nephrology/Tufts Evidence Practice Center, Tufts University School of Medicine, Tufts Medical Center, Boston, Massachusetts 02111, USA.
13 Department of Biostatistics, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, USA. 14 Department of Neurology,
Boston University School of Medicine, 72 East Concord ST B603, Boston, Massachusetts 02118, USA. 15 Division of Endocrinology and Center for Basic and
Translational Obesity Research, Boston Children’s Hospital, 300 Longwood Avenue, Boston, Massachusetts 02115, USA. 16 Medical and Population Genetics
Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 2142, USA. 17 NHLBI’s Framingham Heart Study and the Center for Population Reprints and permission information is available online at http://npg.nature.com/
reprintsandpermissions/ How to cite this article: Pattaro, C. et al. Genetic associations at 53 loci highlight cell
types and biological pathways relevant for kidney function. Nat. Commun. 7:10023
doi: 10.1038/ncomms10023 (2016). This work is licensed under a Creative Commons Attribution 4.0
International License. The images or other third party material in this
article are included in the article’s Creative Commons license, unless indicated otherwise
in the credit line; if the material is not included under the Creative Commons license,
users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ Cristian Pattaro1,*, Alexander Teumer2,3,*, Mathias Gorski4,5,*, Audrey Y. Chu6,*, Man Li7,*, Vladan Mijatovic8,*,
Maija Garnaas9, Adrienne Tin7, Rossella Sorice10, Yong Li11, Daniel Taliun1, Matthias Olden4,5, Meredith Foster12,
Qiong Yang13, Ming-Huei Chen13,14, Tune H. Pers15,16, Andrew D. Johnson17, Yi-An Ko18, Christian Fuchsberger1,
Bamidele Tayo19, Michael Nalls20, Mary F. Feitosa21, Aaron Isaacs22,23, Abbas Dehghan24, Pio d’Adamo25,
Adebowale Adeyemo26, Aida Karina Dieffenbach27,28, Alan B. Zonderman29, Ilja M. Nolte30, Peter J. van der
Most30, Alan F. Wright31, Alan R. Shuldiner32,33, Alanna C. Morrison34, Albert Hofman24, Albert V. Smith35,36,
Albert W. Dreisbach37, Andre Franke38, Andre G. Uitterlinden39, Andres Metspalu40,41, Anke Tonjes42,
Antonio Lupo43, Antonietta Robino25, Åsa Johansson44, Ayse Demirkan22, Barbara Kollerits45,
Barry I. Freedman46, Belen Ponte47, Ben A. Oostra48, Bernhard Paulweber49, Bernhard K. Kra¨mer50,
Braxton D. Mitchell32,33, Brendan M. Buckley51, Carmen A. Peralta52, Caroline Hayward31, Catherine Helmer53,54,
Charles N. Rotimi26, Christian M. Shaffer55, Christian Mu¨ller56,57, Cinzia Sala58, Cornelia M. van Duijn22,
Aude Saint-Pierre1,59, Daniel Ackermann47, Daniel Shriner26, Daniela Ruggiero10, Daniela Toniolo58,60,
Yingchang Lu61, Daniele Cusi62, Darina Czamara63, David Ellinghaus38, David S. Siscovick64,
Douglas Ruderfer65, Christian Gieger66, Harald Grallert67,68,69, Elena Rochtchina70, Elizabeth J. Atkinson71,
Elizabeth G. Holliday72,73, Eric Boerwinkle34, Erika Salvi62, Erwin P. Bottinger61, Federico Murgia74,
Fernando Rivadeneira39, Florian Ernst2, Florian Kronenberg45, Frank B. Hu75, Gerjan J. Navis76, Gary C. Curhan77,
George B. Ehret78, Georg Homuth2, Stefan Coassin45, Gian-Andri Thun79,80, Giorgio Pistis58, NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications 11 NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 ARTICLE Giovanni Gambaro81, Giovanni Malerba8, Grant W. Montgomery82, Gudny Eiriksdottir35, Gunnar Jacobs83,
Guo Li64, H-Erich Wichmann84,85,86, Harry Campbell87, Helena Schmidt88, Henri Wallaschofski89,90, Henry
Vo¨lzke3,90, Hermann Brenner27,28, Heyo K. Kroemer91, Holly Kramer19, Honghuang Lin92,
I. Mateo Leach93, Ian Ford94, Idris Guessous95,96,97, Igor Rudan87, Inga Prokopenko98, Ingrid Borecki21,
Iris M. Heid4,66, Ivana Kolcic99, Ivana Persico74, J. Wouter Jukema100,101,102,103, James F. Wilson87,
Janine F. Felix24, Jasmin Divers104, Jean-Charles Lambert105, Jeanette M. Stafford104, Jean-Michel Gaspoz95,
Jennifer A. Smith106, Jessica D. Faul107, Jie Jin Wang108, Jingzhong Ding109, Joel N. Hirschhorn15,16,110,
John Attia71,72, John B. Whitfield82, John Chalmers111, Jorma Viikari112, Josef Coresh7,113, Joshua C. Denny114,
Juha Karjalainen115, Jyotika K. Fernandes116, Karlhans Endlich117, Katja Butterbach27, Keith L. Keene118,
Kurt Lohman46, Laura Portas74, Lenore J. Launer119, Leo-Pekka Lyytika¨inen120, Loic Yengo121,122,123,
Lude Franke115, Luigi Ferrucci124, Lynda M. Rose6, Lyudmyla Kedenko49, Madhumathi Rao12,
Maksim Struchalin125,126, Marcus E. Kleber127, Margherita Cavalieri128, Margot Haun45, Marilyn C. Cornelis75,
Marina Ciullo10, Mario Pirastu74, Mariza de Andrade71, Mark A. McEvoy129, Mark Woodward7,111,112,130,
Martin Adam79,80, Massimiliano Cocca58, Matthias Nauck89,90, Medea Imboden79,80, Melanie Waldenberger67,
Menno Pruijm131, Marie Metzger132, Michael Stumvoll42, Michele K. Evans133, Michele M. Sale134,
Mika Ka¨ho¨nen135, Mladen Boban99, Murielle Bochud136, Myriam Rheinberger5, Niek Verweij93,
Nabila Bouatia-Naji137,138, Nicholas G. Martin82,139, Nick Hastie31, Nicole Probst-Hensch79,80, Nicole Soranzo140,
Olivier Devuyst141, Olli Raitakari142, Omri Gottesman61, Oscar H. Franco24, Ozren Polasek99, Paolo Gasparini25,
Patricia B. Munroe143,144, Paul M. Ridker145, Paul Mitchell108, Paul Muntner146,147, Christa Meisinger68,
Johannes H. Smit148, ICBP Consortiumw, AGEN Consortiumw, CARDIOGRAMw, CHARGe-Heart Failure Groupw,
ECHOGen Consortiumw, Peter Kovacs149, Philipp S. Wild150, Philippe Froguel121,122,123, Rainer Rettig151,
Reedik Ma¨gi40, Reiner Biffar152, Reinhold Schmidt128, Rita P.S. Middelberg82, Robert J. Carroll114,
Brenda W. Penninx148, Rodney J. Scott153, Ronit Katz154, Sanaz Sedaghat24, Sarah H. Wild87,
Sharon L.R. Kardia106, Sheila Ulivi155, Shih-Jen Hwang17, Stefan Enroth44, Stefan Kloiber63, Stella Trompet100,
Benedicte Stengel132, Stephen J. Hancock72,73, Stephen T. Turner156, Sylvia E. Rosas18, Sylvia Stracke105,157,
Tamara B. Harris119, Tanja Zeller56,57, Tatijana Zemunik99, Terho Lehtima¨ki120, Thomas Illig68,
Thor Aspelund35,36, Tiit Nikopensius40,41, Tonu Esko15,40,41, Toshiko Tanaka124, Ulf Gyllensten44, Uwe Vo¨lker2,90,
Valur Emilsson35,158, Veronique Vitart31, Ville Aalto159, Vilmundur Gudnason35,36, Vincent Chouraki105,
Wei-Min Chen134, Wilmar Igl44, Winfried Ma¨rz160, Wolfgang Koenig161, Wolfgang Lieb83, Ruth J.F. Loos61,162,
Yongmei Liu46, Harold Snieder30, Peter P. Pramstaller1,163,164, Afshin Parsa165, Jeffrey R. O’Connell32,
Katalin Susztak18, Pavel Hamet166, Johanne Tremblay166, Ian H. de Boer154, Carsten A. Bo¨ger5,**,
Wolfram Goessling9,**, Daniel I. Chasman6,145,**, Anna Ko¨ttgen7,11,**, W.H. Linda Kao7,113,**,z
& Caroline S. Fox17,167,** Giovanni Gambaro81, Giovanni Malerba8, Grant W. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 Montgomery82, Gudny Eiriksdottir35, Gunnar Jacobs83,
Guo Li64, H-Erich Wichmann84,85,86, Harry Campbell87, Helena Schmidt88, Henri Wallaschofski89,90, Henry
Vo¨lzke3,90, Hermann Brenner27,28, Heyo K. Kroemer91, Holly Kramer19, Honghuang Lin92,
I. Mateo Leach93, Ian Ford94, Idris Guessous95,96,97, Igor Rudan87, Inga Prokopenko98, Ingrid Borecki21,
Iris M. Heid4,66, Ivana Kolcic99, Ivana Persico74, J. Wouter Jukema100,101,102,103, James F. Wilson87,
Janine F. Felix24, Jasmin Divers104, Jean-Charles Lambert105, Jeanette M. Stafford104, Jean-Michel Gaspoz95,
Jennifer A. Smith106, Jessica D. Faul107, Jie Jin Wang108, Jingzhong Ding109, Joel N. Hirschhorn15,16,110,
John Attia71,72, John B. Whitfield82, John Chalmers111, Jorma Viikari112, Josef Coresh7,113, Joshua C. Denny114,
Juha Karjalainen115, Jyotika K. Fernandes116, Karlhans Endlich117, Katja Butterbach27, Keith L. Keene118,
Kurt Lohman46, Laura Portas74, Lenore J. Launer119, Leo-Pekka Lyytika¨inen120, Loic Yengo121,122,123,
Lude Franke115, Luigi Ferrucci124, Lynda M. Rose6, Lyudmyla Kedenko49, Madhumathi Rao12,
Maksim Struchalin125,126, Marcus E. Kleber127, Margherita Cavalieri128, Margot Haun45, Marilyn C. Cornelis75,
Marina Ciullo10, Mario Pirastu74, Mariza de Andrade71, Mark A. McEvoy129, Mark Woodward7,111,112,130,
Martin Adam79,80, Massimiliano Cocca58, Matthias Nauck89,90, Medea Imboden79,80, Melanie Waldenberger67
Menno Pruijm131, Marie Metzger132, Michael Stumvoll42, Michele K. Evans133, Michele M. Sale134,
Mika Ka¨ho¨nen135, Mladen Boban99, Murielle Bochud136, Myriam Rheinberger5, Niek Verweij93,
Nabila Bouatia-Naji137,138, Nicholas G. Martin82,139, Nick Hastie31, Nicole Probst-Hensch79,80, Nicole Soranzo140
Olivier Devuyst141, Olli Raitakari142, Omri Gottesman61, Oscar H. Franco24, Ozren Polasek99, Paolo Gasparini25
Patricia B. Munroe143,144, Paul M. Ridker145, Paul Mitchell108, Paul Muntner146,147, Christa Meisinger68,
Johannes H. Smit148, ICBP Consortiumw, AGEN Consortiumw, CARDIOGRAMw, CHARGe-Heart Failure Groupw
ECHOGen Consortiumw, Peter Kovacs149, Philipp S. Wild150, Philippe Froguel121,122,123, Rainer Rettig151,
Reedik Ma¨gi40, Reiner Biffar152, Reinhold Schmidt128, Rita P.S. Middelberg82, Robert J. Carroll114,
Brenda W. Penninx148, Rodney J. Scott153, Ronit Katz154, Sanaz Sedaghat24, Sarah H. Wild87,
Sharon L.R. Kardia106, Sheila Ulivi155, Shih-Jen Hwang17, Stefan Enroth44, Stefan Kloiber63, Stella Trompet100,
Benedicte Stengel132, Stephen J. Hancock72,73, Stephen T. Turner156, Sylvia E. Rosas18, Sylvia Stracke105,157,
Tamara B. Harris119, Tanja Zeller56,57, Tatijana Zemunik99, Terho Lehtima¨ki120, Thomas Illig68,
Thor Aspelund35,36, Tiit Nikopensius40,41, Tonu Esko15,40,41, Toshiko Tanaka124, Ulf Gyllensten44, Uwe Vo¨lker2,90
Valur Emilsson35,158, Veronique Vitart31, Ville Aalto159, Vilmundur Gudnason35,36, Vincent Chouraki105,
Wei-Min Chen134, Wilmar Igl44, Winfried Ma¨rz160, Wolfgang Koenig161, Wolfgang Lieb83, Ruth J.F. Loos61,162,
Yongmei Liu46, Harold Snieder30, Peter P. Pramstaller1,163,164, Afshin Parsa165, Jeffrey R. O’Connell32,
Katalin Susztak18, Pavel Hamet166, Johanne Tremblay166, Ian H. de Boer154, Carsten A. Bo¨ger5,**,
Wolfram Goessling9,**, Daniel I. Chasman6,145,**, Anna Ko¨ttgen7,11,**, W.H. Linda Kao7,113,**,z
& Caroline S Fox17,167,** Giovanni Gambaro81, Giovanni Malerba8, Grant W. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 Montgomery82, Gudny Eiriksdottir35, Gunnar Jacobs83,
Guo Li64, H-Erich Wichmann84,85,86, Harry Campbell87, Helena Schmidt88, Henri Wallaschofski89,90, Henry Olivier Devuyst141, Olli Raitakari142, Omri Gottesman61, Oscar H. Franco24, Ozren Polasek99, Paolo Gasparini25,
Patricia B. Munroe143,144, Paul M. Ridker145, Paul Mitchell108, Paul Muntner146,147, Christa Meisinger68, NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications 12 NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 Studies, 73 Mt Wayte Avenue, Suite 2, Framingham, Massachusetts 01702, USA. 18 Renal Electrolyte and Hypertension Division, Perelman School of
Medicine, University of Pennsylvania, 415 Curie Boulevard, 405B Clinical Research Building, Philadelphia, Pennsylvania 19104-4539, USA. 19 Department of
Public Health Sciences, Loyola Medical Center, 2160 S First Avenue, Maywood, Illinois 60153, USA. 20 Laboratory of Neurogenetics, Building 35—Porter
Building, 1A1015, National Institute on Aging/NIH, Bethesda, Maryland 20892, USA. 21 Division of Statistical Genomics, Washington University School of
Medicine, 4444 Forest Park Boulevard, Box 8506, St Louis, Missouri 63108, USA. 22 Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Dr Molewaterplein 50, PO Box 2040, Rotterdam 3000 CA, The Netherlands. 23 Centre for Medical Systems Biology Leiden,
Dr Molewaterplein 50, PO Box 2040, Rotterdam 3000 CA, The Netherlands. 24 Department of Epidemiology, Erasmus University Medical Center, PO Box
2040, Rotterdam 3000 CA, The Netherlands. 25 Institute for Maternal and Child Health—IRCCS "Burlo Garofolo" and University of Trieste, via dell’Istria 65/1,
Trieste 34137, Italy. 26 Center for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South
Dr, MSC 5635, Bethesda, Maryland 20892-5635, USA. 27 Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ),
Im Neuenheimer Feld 581, Heidelberg 69120, Germany. 28 German Cancer Consortium (DKTK), Im Neuenheimer Feld 581, Heidelberg 69120, Germany. 29 Laboratory of Personality and Cognition, National Institute on Aging, National Institutes of Health, NIH Biomedical Center, 251 Bayview Boulevard, Suite
100, Baltimore, Maryland 21224, USA. 30 Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center
Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands. 31 MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of
Edinburgh, Crewe Road, Edinburgh EH4 2XU, UK. 32 Department of Medicine, University of Maryland School of Medicine, 685 West Baltimore Street,
Baltimore, Maryland 21201, USA. 33 Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, 10 North Greene Street,
Baltimore, Maryland 21201, USA. 34 Human Genetics Center, University of Texas Health Science Center at Houston, 1200 Pressler St Suite 453E, Houston,
Texas 77030, USA. 35 Icelandic Heart Association, Research Institute, Holtasmari 1, Kopavogur 201, Iceland. 36 University of Iceland, Sæmundargo¨tu 2,
Reykjavik 101, Iceland. 37 Division of Nephrology, University of Mississippi, 2500 North State Street, Jackson, Mississippi 39216, USA. ARTICLE 38 Institute of Clinical
Molecular Biology, Christian-Albrechts University of Kiel, Schittenhelmstrae 12, Kiel 24105, Germany. 39 Department of Internal Medicine, Erasmus
University Medical Center, PO Box 1738, Rotterdam 3000 DR, The Netherlands. 40 Estonian Genome Center of University of Tartu (EGCUT), Riia 23B, Tartu
51010, Estonia. 41 Institute of Molecular and Cell Biology, University of Tartu and Estonian Biocenter, Riia 23, Tartu 51010, Estonia. 42 Department of Medicine,
University of Leipzig, Liebigstrae 18, Leipzig 04103, Germany. 43 Division of Nephrology, Department of Medicine, University of Verona, Piazzale Aristide
Stefani 1, Verona 37126, Italy. 44 Uppsala University, Department of Immunology, Genetics and Pathology, Biomedical Center, SciLifeLab, Uppsala University,
Uppsala SE- 75108, Sweden. 45 Innsbruck Medical University, Division of Genetic Epidemiology, Schoepfstrae 41, Innsbruck 6020, Austria. 46 Internal
Medicine Department, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157-1053, USA. 47 Nephrology
Division, Department of Specialties of Internal Medicine, Geneva University Hospital, 4 rue Gabrielle-Perret-Gentil, Geneve 1211, Switzerland. 48 Department
of Clinical Genetics, Erasmus University Medical Center, Dr Molewaterplein 50, PO Box 2040, Rotterdam 3000 CA, The Netherlands. 49 First Department of
Internal Medicine, Paracelsus Medical University/Salzburger Landeskliniken, Mu¨llner Hauptstrae 48, Salzburg 5020, Austria. 50 University Medical Centre
Mannheim, 5th Department of Medicine, University of Heidelberg, Theodor Kutzer Ufer 1-3, Mannheim 68167, Germany. 51 Department of Pharmacology and
Therapeutics, University College Cork, Clinical Investigations Building, Western Rd, Cork, Ireland. 52 Division of Nephrology, University of California, San
Francisco Medical School and San Francisco VA Medical Center, 4150 Clement Street, San Francisco, California 94121, USA. 53 INSERM, ISPED, Centre
INSERM U897—Epidemiologie-Biostatistique, Bordeaux F-33000, France. 54 Universite´ Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-
Biostatistique, Bordeaux F-33000, France. 55 Vanderbilt University School of Medicine, 2215-B Garland Avenue 1224—MRB4 (Light Hall)Nashville, Tennessee
37232, USA. 56 University Heart Center Hamburg, Clinic for general and interventional cardiology, Martinistrae 52, Hamburg 20246, Germany. 57 German
Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Lu¨beck/Kiel, Martinistrae 52, Hamburg 20246, Germany. 58 Division of Genetics and
Cell Biology, San Raffaele Scientific Institute, Via Olgettina 58, Milano 20132, Italy. 59 INSERM U1078, Etablissement Franc¸ais du Sang, 46 rue Fe´lix Le
Dantec, CS 51819, Brest Cedex 2 29218, France. 60 Institute of Molecular Genetics-CNR, Via Abbiategrasso 207, Pavia 27100, Italy. 61 The Charles Bronfman
Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA. ARTICLE 62 Department of Health Sciences, University
of Milano, Via Antonio di Rudinı` 8, Milano 20142, Italy. 63 Max Planck Institute of Psychiatry, Kraepelinstrae 2–10, Munich 80804, Germany. 64 Cardiovascular Health Research Unit, Departments of Epidemiology and Medicine, University of Washington, 1730 Minor Ave, Suite 1360, Seattle,
Washington 98101, USA. 65 Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
10029, USA. 66 Institute of Genetic Epidemiology, Helmholtz Zentrum Mu¨nchen, German Research Center for Environmental Health, Ingolstaedter
Landstrae 1, 85764 Neuherberg, Germany. 67 Research Unit of Molecular Epidemiology, Helmholtz Zentrum Mu¨nchen, German Research Center for
Environmental Health, Ingolstaedter Landstrae 1, 85764 Neuherberg, Germany. 68 Institute of Epidemiology II, Helmholtz Zentrum Mu¨nchen, German
Research Center for Environmental Health, 85764 Neuherberg, Germany. 69 German Center for Diabetes Research (DZD), Ingolstaedter Landstrae 1,
Neuherberg 85764, Germany. 70 Westmead Millennium Institute, Centre for Vision Research, University of Sydney, C24 Westmead Hospital, New South
Wales 2145, Australia. 71 Division of Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, Minnesota 55905, USA. 72 Centre for
Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, HMRI Building1, Kookaburra Circuit, New Lambton
New South Wales 2305, Australia. 73 Clinical Research Design, Information Technology and Statistical Support, Hunter Medical Research Institute,
Newcastle, 1 Kookaburra Circuit, New Lambton Heights, New South Wales 2305, Australia. 74 Institute of Population Genetics—CNR, Traversa La Crucca 3,
07040 Reg. Baldinca, Li Punti, Sassari, Italy. 75 Department of Nutrition, Harvard School of Public Health, 665 Huntington Avenue, Building 2, Boston,
Massachusetts 02115, USA. 76 Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen 9713
GZ, The Netherlands. 77 Brigham and Women’s Hospital and Channing Laboratory, Harvard Medical School, 181 Longwood Avenue, Boston, Massachusetts
02115, USA. 78 Cardiology, Department of Specialties of Internal Medicine, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, Geneva 1205,
Switzerland. 79 Swiss Tropical and Public Health Institute, PO Box 4002, Basel, Switzerland. 80 University of Basel, Petersplatz 1, Basel 4003, Switzerland. 81 Division of Nephrology, Department of Internal Medicine and Medical Specialties, Columbus-Gemelli University Hospital, Catholic University, Via Moscati
31, Rome 00168, Italy. 82 Genetic Epidemiology, Queensland Institute of Medical Research, QIMR, PO Royal Brisbane Hospital, Queensland 4029, Australia. 83 Institute of Epidemiology and Biobank popgen, Christian-Albrechts University, Niemannsweg 11, Kiel 24105, Germany. ARTICLE 84 Institute of Epidemiology I,
Helmholtz Zentrum Mu¨nchen, German Research Center for Environmental Health, Ingolsta¨dter Landstrae 1, Neuherberg 85764, Germany. 85 Institute of
Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universita¨t, Ingolsta¨dter Landstrasse 1, 85764 Neuherberg, Germany. 86 Klinikum
Grosshadern, Ingolsta¨dter Landstrae 1, Neuherberg 85764, Germany. 87 Centre for Population Health Sciences, University of Edinburgh, Teviot Place,
Edinburgh, EH8 9AG Scotland, UK. 88 Austrian Stroke Prevention Study, Institute of Molecular Biology and Biochemistry, Department of Neurology, Medical
University Graz Harrachgasse 21 Graz 8010 Austria 89 Institute of Clinical Chemistry and Laboratory Medicine University Medicine Greifswald Ferdinand Studies, 73 Mt Wayte Avenue, Suite 2, Framingham, Massachusetts 01702, USA. 18 Renal Electrolyte and Hypertension Division, Perelman School of
Medicine, University of Pennsylvania, 415 Curie Boulevard, 405B Clinical Research Building, Philadelphia, Pennsylvania 19104-4539, USA. 19 Department of
Public Health Sciences, Loyola Medical Center, 2160 S First Avenue, Maywood, Illinois 60153, USA. 20 Laboratory of Neurogenetics, Building 35—Porter
Building, 1A1015, National Institute on Aging/NIH, Bethesda, Maryland 20892, USA. 21 Division of Statistical Genomics, Washington University School of
Medicine, 4444 Forest Park Boulevard, Box 8506, St Louis, Missouri 63108, USA. 22 Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Dr Molewaterplein 50, PO Box 2040, Rotterdam 3000 CA, The Netherlands. 23 Centre for Medical Systems Biology Leiden,
Dr Molewaterplein 50, PO Box 2040, Rotterdam 3000 CA, The Netherlands. 24 Department of Epidemiology, Erasmus University Medical Center, PO Box
2040, Rotterdam 3000 CA, The Netherlands. 25 Institute for Maternal and Child Health—IRCCS "Burlo Garofolo" and University of Trieste, via dell’Istria 65/1,
Trieste 34137, Italy. 26 Center for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South
Dr, MSC 5635, Bethesda, Maryland 20892-5635, USA. 27 Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ),
Im Neuenheimer Feld 581, Heidelberg 69120, Germany. 28 German Cancer Consortium (DKTK), Im Neuenheimer Feld 581, Heidelberg 69120, Germany. 29 Laboratory of Personality and Cognition, National Institute on Aging, National Institutes of Health, NIH Biomedical Center, 251 Bayview Boulevard, Suite
100, Baltimore, Maryland 21224, USA. 30 Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center
Groningen, PO Box 30001, Groningen 9700 RB, The Netherlands. 31 MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of
Edinburgh, Crewe Road, Edinburgh EH4 2XU, UK. ARTICLE 32 Department of Medicine, University of Maryland School of Medicine, 685 West Baltimore Street,
Baltimore, Maryland 21201, USA. 33 Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, 10 North Greene Street,
Baltimore, Maryland 21201, USA. 34 Human Genetics Center, University of Texas Health Science Center at Houston, 1200 Pressler St Suite 453E, Houston,
Texas 77030, USA. 35 Icelandic Heart Association, Research Institute, Holtasmari 1, Kopavogur 201, Iceland. 36 University of Iceland, Sæmundargo¨tu 2,
Reykjavik 101, Iceland. 37 Division of Nephrology, University of Mississippi, 2500 North State Street, Jackson, Mississippi 39216, USA. 38 Institute of Clinical
Molecular Biology, Christian-Albrechts University of Kiel, Schittenhelmstrae 12, Kiel 24105, Germany. 39 Department of Internal Medicine, Erasmus
University Medical Center, PO Box 1738, Rotterdam 3000 DR, The Netherlands. 40 Estonian Genome Center of University of Tartu (EGCUT), Riia 23B, Tartu
51010, Estonia. 41 Institute of Molecular and Cell Biology, University of Tartu and Estonian Biocenter, Riia 23, Tartu 51010, Estonia. 42 Department of Medicine,
University of Leipzig, Liebigstrae 18, Leipzig 04103, Germany. 43 Division of Nephrology, Department of Medicine, University of Verona, Piazzale Aristide
Stefani 1, Verona 37126, Italy. 44 Uppsala University, Department of Immunology, Genetics and Pathology, Biomedical Center, SciLifeLab, Uppsala University,
Uppsala SE- 75108, Sweden. 45 Innsbruck Medical University, Division of Genetic Epidemiology, Schoepfstrae 41, Innsbruck 6020, Austria. 46 Internal
Medicine Department, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157-1053, USA. 47 Nephrology
Division, Department of Specialties of Internal Medicine, Geneva University Hospital, 4 rue Gabrielle-Perret-Gentil, Geneve 1211, Switzerland. 48 Department
of Clinical Genetics, Erasmus University Medical Center, Dr Molewaterplein 50, PO Box 2040, Rotterdam 3000 CA, The Netherlands. 49 First Department of
Internal Medicine, Paracelsus Medical University/Salzburger Landeskliniken, Mu¨llner Hauptstrae 48, Salzburg 5020, Austria. 50 University Medical Centre
Mannheim, 5th Department of Medicine, University of Heidelberg, Theodor Kutzer Ufer 1-3, Mannheim 68167, Germany. 51 Department of Pharmacology and
Therapeutics, University College Cork, Clinical Investigations Building, Western Rd, Cork, Ireland. 52 Division of Nephrology, University of California, San
Francisco Medical School and San Francisco VA Medical Center, 4150 Clement Street, San Francisco, California 94121, USA. 53 INSERM, ISPED, Centre
INSERM U897—Epidemiologie-Biostatistique, Bordeaux F-33000, France. 54 Universite´ Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-
Biostatistique, Bordeaux F-33000, France. 55 Vanderbilt University School of Medicine, 2215-B Garland Avenue 1224—MRB4 (Light Hall)Nashville, Tennessee
37232, USA. 56 University Heart Center Hamburg, Clinic for general and interventional cardiology, Martinistrae 52, Hamburg 20246, Germany. ARTICLE 57 German
Center for Cardiovascular Research (DZHK), Partner Site Hamburg/Lu¨beck/Kiel, Martinistrae 52, Hamburg 20246, Germany. 58 Division of Genetics and
Cell Biology, San Raffaele Scientific Institute, Via Olgettina 58, Milano 20132, Italy. 59 INSERM U1078, Etablissement Franc¸ais du Sang, 46 rue Fe´lix Le
Dantec, CS 51819, Brest Cedex 2 29218, France. 60 Institute of Molecular Genetics-CNR, Via Abbiategrasso 207, Pavia 27100, Italy. 61 The Charles Bronfman
Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA. 62 Department of Health Sciences, University
of Milano, Via Antonio di Rudinı` 8, Milano 20142, Italy. 63 Max Planck Institute of Psychiatry, Kraepelinstrae 2–10, Munich 80804, Germany. 64 Cardiovascular Health Research Unit, Departments of Epidemiology and Medicine, University of Washington, 1730 Minor Ave, Suite 1360, Seattle,
Washington 98101, USA. 65 Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
10029, USA. 66 Institute of Genetic Epidemiology, Helmholtz Zentrum Mu¨nchen, German Research Center for Environmental Health, Ingolstaedter
Landstrae 1, 85764 Neuherberg, Germany. 67 Research Unit of Molecular Epidemiology, Helmholtz Zentrum Mu¨nchen, German Research Center for
Environmental Health, Ingolstaedter Landstrae 1, 85764 Neuherberg, Germany. 68 Institute of Epidemiology II, Helmholtz Zentrum Mu¨nchen, German
Research Center for Environmental Health, 85764 Neuherberg, Germany. 69 German Center for Diabetes Research (DZD), Ingolstaedter Landstrae 1,
Neuherberg 85764, Germany. 70 Westmead Millennium Institute, Centre for Vision Research, University of Sydney, C24 Westmead Hospital, New South
Wales 2145, Australia. 71 Division of Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, Minnesota 55905, USA. 72 Centre for
Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, HMRI Building1, Kookaburra Circuit, New Lambton
New South Wales 2305, Australia. 73 Clinical Research Design, Information Technology and Statistical Support, Hunter Medical Research Institute,
Newcastle, 1 Kookaburra Circuit, New Lambton Heights, New South Wales 2305, Australia. 74 Institute of Population Genetics—CNR, Traversa La Crucca 3,
07040 Reg. Baldinca, Li Punti, Sassari, Italy. 75 Department of Nutrition, Harvard School of Public Health, 665 Huntington Avenue, Building 2, Boston,
Massachusetts 02115, USA. 76 Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen 9713
GZ, The Netherlands. 77 Brigham and Women’s Hospital and Channing Laboratory, Harvard Medical School, 181 Longwood Avenue, Boston, Massachusetts
02115, USA. 78 Cardiology, Department of Specialties of Internal Medicine, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, Geneva 1205,
Switzerland. NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications ARTICLE 79 Swiss Tropical and Public Health Institute, PO Box 4002, Basel, Switzerland. 80 University of Basel, Petersplatz 1, Basel 4003, Switzerland. 81 Division of Nephrology, Department of Internal Medicine and Medical Specialties, Columbus-Gemelli University Hospital, Catholic University, Via Moscati
31, Rome 00168, Italy. 82 Genetic Epidemiology, Queensland Institute of Medical Research, QIMR, PO Royal Brisbane Hospital, Queensland 4029, Australia. 83 Institute of Epidemiology and Biobank popgen, Christian-Albrechts University, Niemannsweg 11, Kiel 24105, Germany. 84 Institute of Epidemiology I,
Helmholtz Zentrum Mu¨nchen, German Research Center for Environmental Health, Ingolsta¨dter Landstrae 1, Neuherberg 85764, Germany. 85 Institute of 13 ARTICLE Medicine, Primary Care and Emergency Medicine, Geneva University Hospitals, Faculty of Medicine, University of Geneva, Geneva 1211, Switzerland.
96 Community Prevention Unit, University Institute of Social and Preventive Medicine, Lausanne University Hospital, Route de la Corniche 10, Lausanne 1010,
Switzerland. 97 Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, NE, Atlanta, Georgia 30322, USA.
98 Department of Genomics of Common Disease, School of Public Health, Imperial College London, London W12 0NN, UK. 99 Croatian Centre for Global
Health, University of Split Medical School, Sˇoltanska 2, Split 21000, Croatia. 100 Department of Cardiology, Leiden University Medical Center, PO Box 9600,
Leiden 2300 RC, The Netherlands. 101 Interuniversity Cardiology Institute of the Netherlands (ICIN), Moreelsepark 1, Utrecht 3511 EP, The Netherlands.
102 Einthoven Laboratory for Experimental Vascular Medicine, Albinusdreef 2, Leiden 2333 ZA, The Netherlands. 103 Durrer Center for Cardiogenetic
Research, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands. 104 Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest
University Health Sciences, 2326 Medical Center Boulevard, Winston-Salem, North Carolina 27157-1063, USA. 105 INSERM U744, Institut Pasteur de Lille, 1
rue du Pr, Calmette, Lille Ce´dex 59019, France. 106 Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights,
Ann Arbor, Michigan 48109-2029, USA. 107 Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson Street, #3456, Ann
Arbor, Michigan 48104, USA. 108 Centre for Vision Research, Westmead Millennium Institute, University of Sydney, C24 Westmead Hospital, New South
Wales 2145, Australia. 109 Wake Forest School of Medicine, Department of Internal Medicine/Geriatrics, Medical center Boulevard, Winston-Salem, North
Carolina 27157, USA. 110 Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, NRB 0330, Boston, Massachusetts 02115, USA.
111 University of Sydney, The George Institute for Global Health, Level 10, King George V Building, 83-117 Missenden Road, Camperdown, New South Wales
2050, Australia. 112 Department of Medicine, University of Turku, Turku University Hospital, PO Box 52, Turku 20521, Finland. 113 Welch Center for Prevention,
Epidemiology and Clinical Research, 2024 East Monument St, Suite 2-600, Baltimore, Maryland 21287, USA. 114 Vanderbilt University School of Medicine,
448 Eskind Biomedical Library, 2209 Garland Avenue, Nashville, Tennessee 37212, USA. 115 Department of Genetics, University of Groningen, University
Medical Centre Groningen, PO Box 72, Groningen 9700 AB, The Netherlands. 116 Division of Endocrinology, Medical University of South Carolina, 171 Ashley
Avenue, Charleston, South Carolina 29425, USA. 117 Institute of Anatomy and Cell Biology, University of Greifswald, Friedrich-Loeffler-Strae 23c, Greifswald
17487, Germany. 118 Center for Health Disparities, Department of Biology, East Carolina University, 1001 East 10th Street, N209 Howell Science Complex
Mailstop 551, Greenville, North Carolina 27858, USA. 119 Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National
Institute on Aging, Gateway Building, 3C309, 7201 Winsconsin Avenue, Bethesda, Maryland 20892-9205, USA. 120 Department of Clinical Chemistry,
Fimlab Laboratories, University of Tampere, School of Medicine, Tampere 33520, Finland. 121 CNRS UMR 8199, 1 Rue du Professeur Calmette, Lille 59000,
France. 122 Lille Pasteur Institute, 1 Rue du Professeur Calmette, Lille 59000, France. 123 Lille II University, 42 Rue paul Duez, Lille 59000, France. 124 Clinical
Research Branch, National Institute on Aging, 251 Bayview Blvd, Baltimore, Maryland 21250, USA. 125 Department of Epidemiology and Biostatistics, Erasmus
University Medical Center, Dr Molewaterplein, Rotterdam 50-603015 GE, The Netherlands. 126 Department of Forensic Molecular Biology, Erasmus
University Medical Center, Dr Molewaterplein, Rotterdam 50-603015 GE, The Netherlands. 127 Medical Clinic V, Medical Faculty Mannheim, Heidelberg
University, Theodor-Kutzer-Ufer 1-3, Mannheim 68167, Germany. 128 Austrian Stroke Prevention Study, Department of Neurology, Division of Special
Neurology, Medical University Graz, Auenbruggerplatz 22, Graz 8036, Austria. 129 Centre for Clinical Epidemiology and Biostatistics, University of Newcastle,
Hunter Medical Research Institute, John Hunter Hospital, Locked Bag 1, HRMC, New South Wales 2310, Australia. 130 The George Institute for Global Health,
Nuffield Department of Population Health, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford OX3 7LF, UK. 131 Service of Nephrology, Lausanne
University Hospital, Rue du Bugnon 17, Lausanne 1005, Switzerland. 132 Inserm UMRS 1018, CESP Team 10, Universite´ Paris-Sud, 16 avenue Paul Vaillant
Couturier, Villejuif 94807, France. 133 Health Disparities Research Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health,
NIH Biomedical Center, 251 Bayview Boulevard, Suite 100, Baltimore, Maryland 21224, USA. 134 Center for Public Health Genomics, Department of Medicine
(Cardiovascular Medicine), University of Virginia, PO Box 800717, Charlottesville, Virginia 22908, USA. 135 Department of Clinical Physiology, Tampere
University Hospital, University of Tampere, School of Medicine, Tampere 33521, Finland. 136 University Institute of Social and Preventive Medicine, Centre
Hospitalier Universitaire Vaudois, University of Lausanne, Route de la Corniche 2, Epalinges CH-1066, Switzerland. 137 INSERM UMR970, Paris Cardiovascular
Research Center (PARCC), 56 rue Leblanc, Paris F-75015, France. 138 Paris Descartes University, Faculty of medicine, Paris Cite´ Sorbonne, 12 Rue de l’e´cole de
Me´decine, Paris F-75006, France. 139 Brigham and Women’s Hospital, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA.
140 Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK. 141 University of Zurich, Institute of Physiology, Mechanisms of Inherited Kidney Disorders Group,
Winterthurerstrasse 190, Zu¨rich 8057, Switzerland. 142 Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku
University Hospital, Department of Clinical Physiology, PO Box 52, Turku 20521, Finland. 143 Department Clinical Pharmacology, William Harvey Research
Institute, Queen Mary University of London, London EC1M 6BQ, UK. 144 NIHR Barts Cardiovascular Biomedical Research Unit, Queen Mary University of
London, London EC1M 6BQ, UK. 145 Harvard Medical School, 900 Commonwealth Avenue East, Boston, Massachusetts 02115, USA. 146 University of
Alabama at Birmingham, Department of Medicine, 1530 3rd Avenue, South Birmingham, Alabama 35294-0022, USA. 147 University of Alabama at
Birmingham, Department of Epidemiology, 1530 3rd Avenue, South Birmingham, Alabama 35294-0022, USA. 148 Department of Psychiatry and EMGO þ
Institute, VU University Medical Center, A.J. Ernststraat 1187, Amsterdam 1081 HL, The Netherlands. 149 IFB AdiposityDiseases, University of Leipzig,
Liebigstrae 21, Leipzig 04103, Germany. 150 Medical University Center Mainz, Langenbeckstrae 1, Mainz 55131, Germany. 151 Institute of Physiology,
University of Greifswald, Greifswald 17487, Germany. 152 Clinic for Prosthodontic Dentistry, Gerostomatology and Material Science, University of Greifswald,
Rotgerberstrae 8, Greifswald 17475, Germany. 153 School of Biomedical Sciences and Pharmacy, University of Newcastle, Hunter Medical Research Institute,
John Hunter Hospital, Locked Bag 1, HRMC, New South Wales 2310, Australia. 154 Kidney Research Institute, University of Washington, Box 359606, 325 9th
Avenue, Seattle, Washington 98104, USA. 155 Institute for Maternal and Child Health—IRCCS "Burlo Garofolo", Via dell’Istria 65, Trieste 34137, Italy.
156 Department of Internal Medicine, Division of Nephrology and Hypertension, Mayo Clinic, 200 First Street SW, Rochester, Minnesota 55905, USA.
157 Clinic for Internal Medicine A, University of Greifswald, Friedrich-Loeffler-Strae 23a, Greifswald 17475, Germany. 158 Faculty of Pharmaceutical Sciences,
University of Iceland, Sæmundargata 2, Reykjavik 101, Iceland. 159 Department of Clinical Physiology, Turku University Hospital, Research Centre of Applied
and Preventive Cardiovascular Medicine, University of Turku, PO Box 52, Turku 20521, Finland. 160 Synlab Academy, Synlab Services GmbH, Oberer Eselsberg
45, Ulm 89081, Germany. 161 Department of Internal Medicine II—Cardiology, University of Ulm Medical Centre, Albert-Einstein-Allee 23, Ulm 89081,
Germany. 162 The Mindich Child Health and Development Institute, Ichan School of Medicine at Mount Sinai, New York, New York 10029, USA.
163 Department of Neurology, General Central Hospital, Via Lorenz Bohler 5, Bolzano 39100, Italy. 164 Department of Neurology, University of Lu¨beck,
Ratzeburger Allee 160, Lu¨beck 23538, Germany. 165 University of Maryland Medical School, Division of Nephrology, 685 W. Baltimore Street, MSTF 314,
Baltimore, Maryland 21201, USA. 166 CRCHUM, University of Montreal, CHUM Research Center, Technopoˆle Angus, 900 Saint-Denis, Montreal, Que´bec,
Canada H2X 0A9 167 Division of Endocrinology Brigham and Women s Hospital Harvard Medical School 221 Longwood Avenue Boston Massachusetts ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 Medicine, Primary Care and Emergency Medicine, Geneva University Hospitals, Faculty of Medicine, University of Geneva, Geneva 1211, Switzerland. 96 Community Prevention Unit, University Institute of Social and Preventive Medicine, Lausanne University Hospital, Route de la Corniche 10, Lausanne 1010,
Switzerland. 97 Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, NE, Atlanta, Georgia 30322, USA. 98 Department of Genomics of Common Disease, School of Public Health, Imperial College London, London W12 0NN, UK. 99 Croatian Centre for Global
Health, University of Split Medical School, Sˇoltanska 2, Split 21000, Croatia. 100 Department of Cardiology, Leiden University Medical Center, PO Box 9600,
Leiden 2300 RC, The Netherlands. 101 Interuniversity Cardiology Institute of the Netherlands (ICIN), Moreelsepark 1, Utrecht 3511 EP, The Netherlands. 102 Einthoven Laboratory for Experimental Vascular Medicine, Albinusdreef 2, Leiden 2333 ZA, The Netherlands. 103 Durrer Center for Cardiogenetic
Research, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands. 104 Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest
University Health Sciences, 2326 Medical Center Boulevard, Winston-Salem, North Carolina 27157-1063, USA. 105 INSERM U744, Institut Pasteur de Lille, 1
rue du Pr, Calmette, Lille Ce´dex 59019, France. 106 Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights,
Ann Arbor, Michigan 48109-2029, USA. 107 Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson Street, #3456, Ann
Arbor, Michigan 48104, USA. 108 Centre for Vision Research, Westmead Millennium Institute, University of Sydney, C24 Westmead Hospital, New South
Wales 2145, Australia. 109 Wake Forest School of Medicine, Department of Internal Medicine/Geriatrics, Medical center Boulevard, Winston-Salem, North
Carolina 27157, USA. 110 Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, NRB 0330, Boston, Massachusetts 02115, USA. 111 University of Sydney, The George Institute for Global Health, Level 10, King George V Building, 83-117 Missenden Road, Camperdown, New South Wales
2050, Australia. 112 Department of Medicine, University of Turku, Turku University Hospital, PO Box 52, Turku 20521, Finland. 113 Welch Center for Prevention,
Epidemiology and Clinical Research, 2024 East Monument St, Suite 2-600, Baltimore, Maryland 21287, USA. 114 Vanderbilt University School of Medicine,
448 Eskind Biomedical Library, 2209 Garland Avenue, Nashville, Tennessee 37212, USA. 115 Department of Genetics, University of Groningen, University
Medical Centre Groningen, PO Box 72, Groningen 9700 AB, The Netherlands. ARTICLE 116 Division of Endocrinology, Medical University of South Carolina, 171 Ashley
Avenue, Charleston, South Carolina 29425, USA. 117 Institute of Anatomy and Cell Biology, University of Greifswald, Friedrich-Loeffler-Strae 23c, Greifswald
17487, Germany. 118 Center for Health Disparities, Department of Biology, East Carolina University, 1001 East 10th Street, N209 Howell Science Complex
Mailstop 551, Greenville, North Carolina 27858, USA. 119 Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National
Institute on Aging, Gateway Building, 3C309, 7201 Winsconsin Avenue, Bethesda, Maryland 20892-9205, USA. 120 Department of Clinical Chemistry,
Fimlab Laboratories, University of Tampere, School of Medicine, Tampere 33520, Finland. 121 CNRS UMR 8199, 1 Rue du Professeur Calmette, Lille 59000,
France. 122 Lille Pasteur Institute, 1 Rue du Professeur Calmette, Lille 59000, France. 123 Lille II University, 42 Rue paul Duez, Lille 59000, France. 124 Clinical
Research Branch, National Institute on Aging, 251 Bayview Blvd, Baltimore, Maryland 21250, USA. 125 Department of Epidemiology and Biostatistics, Erasmus
University Medical Center, Dr Molewaterplein, Rotterdam 50-603015 GE, The Netherlands. 126 Department of Forensic Molecular Biology, Erasmus
University Medical Center, Dr Molewaterplein, Rotterdam 50-603015 GE, The Netherlands. 127 Medical Clinic V, Medical Faculty Mannheim, Heidelberg
University, Theodor-Kutzer-Ufer 1-3, Mannheim 68167, Germany. 128 Austrian Stroke Prevention Study, Department of Neurology, Division of Special
Neurology, Medical University Graz, Auenbruggerplatz 22, Graz 8036, Austria. 129 Centre for Clinical Epidemiology and Biostatistics, University of Newcastle,
Hunter Medical Research Institute, John Hunter Hospital, Locked Bag 1, HRMC, New South Wales 2310, Australia. 130 The George Institute for Global Health,
Nuffield Department of Population Health, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford OX3 7LF, UK. 131 Service of Nephrology, Lausanne
University Hospital, Rue du Bugnon 17, Lausanne 1005, Switzerland. 132 Inserm UMRS 1018, CESP Team 10, Universite´ Paris-Sud, 16 avenue Paul Vaillant
Couturier, Villejuif 94807, France. 133 Health Disparities Research Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health,
NIH Biomedical Center, 251 Bayview Boulevard, Suite 100, Baltimore, Maryland 21224, USA. 134 Center for Public Health Genomics, Department of Medicine
(Cardiovascular Medicine), University of Virginia, PO Box 800717, Charlottesville, Virginia 22908, USA. 135 Department of Clinical Physiology, Tampere
University Hospital, University of Tampere, School of Medicine, Tampere 33521, Finland. 136 University Institute of Social and Preventive Medicine, Centre
Hospitalier Universitaire Vaudois, University of Lausanne, Route de la Corniche 2, Epalinges CH-1066, Switzerland. 137 INSERM UMR970, Paris Cardiovascular
Research Center (PARCC), 56 rue Leblanc, Paris F-75015, France. ARTICLE 138 Paris Descartes University, Faculty of medicine, Paris Cite´ Sorbonne, 12 Rue de l’e´cole de
Me´decine, Paris F-75006, France. 139 Brigham and Women’s Hospital, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA. 140 Wellcome Trust Sanger Institute, Hinxton CB10 1HH, UK. 141 University of Zurich, Institute of Physiology, Mechanisms of Inherited Kidney Disorders Group,
Winterthurerstrasse 190, Zu¨rich 8057, Switzerland. 142 Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku
University Hospital, Department of Clinical Physiology, PO Box 52, Turku 20521, Finland. 143 Department Clinical Pharmacology, William Harvey Research
Institute, Queen Mary University of London, London EC1M 6BQ, UK. 144 NIHR Barts Cardiovascular Biomedical Research Unit, Queen Mary University of
London, London EC1M 6BQ, UK. 145 Harvard Medical School, 900 Commonwealth Avenue East, Boston, Massachusetts 02115, USA. 146 University of
Alabama at Birmingham, Department of Medicine, 1530 3rd Avenue, South Birmingham, Alabama 35294-0022, USA. 147 University of Alabama at
Birmingham, Department of Epidemiology, 1530 3rd Avenue, South Birmingham, Alabama 35294-0022, USA. 148 Department of Psychiatry and EMGO þ
Institute, VU University Medical Center, A.J. Ernststraat 1187, Amsterdam 1081 HL, The Netherlands. 149 IFB AdiposityDiseases, University of Leipzig,
Liebigstrae 21, Leipzig 04103, Germany. 150 Medical University Center Mainz, Langenbeckstrae 1, Mainz 55131, Germany. 151 Institute of Physiology,
University of Greifswald, Greifswald 17487, Germany. 152 Clinic for Prosthodontic Dentistry, Gerostomatology and Material Science, University of Greifswald,
Rotgerberstrae 8, Greifswald 17475, Germany. 153 School of Biomedical Sciences and Pharmacy, University of Newcastle, Hunter Medical Research Institute,
John Hunter Hospital, Locked Bag 1, HRMC, New South Wales 2310, Australia. 154 Kidney Research Institute, University of Washington, Box 359606, 325 9th
Avenue, Seattle, Washington 98104, USA. 155 Institute for Maternal and Child Health—IRCCS "Burlo Garofolo", Via dell’Istria 65, Trieste 34137, Italy. 156 Department of Internal Medicine, Division of Nephrology and Hypertension, Mayo Clinic, 200 First Street SW, Rochester, Minnesota 55905, USA. 157 Clinic for Internal Medicine A, University of Greifswald, Friedrich-Loeffler-Strae 23a, Greifswald 17475, Germany. 158 Faculty of Pharmaceutical Sciences,
University of Iceland, Sæmundargata 2, Reykjavik 101, Iceland. 159 Department of Clinical Physiology, Turku University Hospital, Research Centre of Applied
and Preventive Cardiovascular Medicine, University of Turku, PO Box 52, Turku 20521, Finland. 160 Synlab Academy, Synlab Services GmbH, Oberer Eselsberg
45, Ulm 89081, Germany. 161 Department of Internal Medicine II—Cardiology, University of Ulm Medical Centre, Albert-Einstein-Allee 23, Ulm 89081,
Germany. ARTICLE 162 The Mindich Child Health and Development Institute, Ichan School of Medicine at Mount Sinai, New York, New York 10029, USA. 163 Department of Neurology, General Central Hospital, Via Lorenz Bohler 5, Bolzano 39100, Italy. 164 Department of Neurology, University of Lu¨beck,
Ratzeburger Allee 160, Lu¨beck 23538, Germany. 165 University of Maryland Medical School, Division of Nephrology, 685 W. Baltimore Street, MSTF 314,
Baltimore, Maryland 21201, USA. 166 CRCHUM, University of Montreal, CHUM Research Center, Technopoˆle Angus, 900 Saint-Denis, Montreal, Que´bec,
Canada H2X 0A9. 167 Division of Endocrinology, Brigham and Women s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, Massachusetts Medicine, Primary Care and Emergency Medicine, Geneva University Hospitals, Faculty of Medicine, University of Geneva, Geneva 1211, Switzerland. 96 Community Prevention Unit, University Institute of Social and Preventive Medicine, Lausanne University Hospital, Route de la Corniche 10, Lausanne 1010,
Switzerland. 97 Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, NE, Atlanta, Georgia 30322, USA. 98 Department of Genomics of Common Disease, School of Public Health, Imperial College London, London W12 0NN, UK. 99 Croatian Centre for Global
Health, University of Split Medical School, Sˇoltanska 2, Split 21000, Croatia. 100 Department of Cardiology, Leiden University Medical Center, PO Box 9600,
Leiden 2300 RC, The Netherlands. 101 Interuniversity Cardiology Institute of the Netherlands (ICIN), Moreelsepark 1, Utrecht 3511 EP, The Netherlands. 102 Einthoven Laboratory for Experimental Vascular Medicine Albinusdreef 2 Leiden 2333 ZA The Netherlands 103 Durrer Center for Cardiogenetic NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications 14 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 ICBP Consortium
Goncalo R. Abecasis168, Linda S. Adair169, Myriam Alexander170, David Altshuler171,172, Najaf Amin24,
Dan
E. Arking173,
Pankaj
Arora174,
Yurii
Aulchenko24,
Stephan
J.L. Bakker76,
Stefania
Bandinelli175,
Ines Barroso140, Jacques S. Beckmann176, John P. Beilby177, Richard N. Bergman178, Sven Bergmann176,
Joshua C. Bis179, Michael Boehnke168, Lori L. Bonnycastle180, Stefan R. Bornstein181, Michiel L. Bots182,
Jennifer L. Bragg-Gresham168, Stefan-Martin Brand183, Eva Brand184, Peter S. Braund185, Morris J. Brown186,
Paul R. Burton187, Juan P. Casas188, Mark J. Caulfield189, Aravinda Chakravarti173, John C. Chambers190,
Giriraj R. Chandak191, Yen-Pei C. Chang192, Fadi J. Charchar193, Nish Chaturvedi194, Yoon Shin Cho195,
Robert
Clarke196,
Francis
S. Collins180,
Rory
Collins196,
John
M. Connell197,
Jackie
A. Cooper198,
Matthew N. Cooper199, Richard S. Cooper200, Anna Maria Corsi201, Marcus Do¨rr202, Santosh Dahgam203,
John Danesh170, George Davey Smith204, Ian N.M. Day204, Panos Deloukas140, Matthew Denniff185,
Anna
F. ARTICLE Dominiczak205,
Yanbin
Dong206,
Ayo
Doumatey26,
Paul
Elliott190,
Roberto
Elosua207,
Jeanette Erdmann208, Susana Eyheramendy209, Martin Farrall210, Cristiano Fava211, Terrence Forrester212,
F. Gerald R. Fowkes87, Ervin R. Fox213, Timothy M. Frayling214, Pilar Galan215, Santhi K. Ganesh216,
Melissa Garcia217, Tom R. Gaunt204, Nicole L. Glazer179, Min Jin Go195, Anuj Goel210, Ju¨rgen Gra¨ssler181,
Diederick
E. Grobbee182,
Leif
Groop218,
Simonetta
Guarrera219,
Xiuqing
Guo220,
David
Hadley221,
Anders Hamsten222, Bok-Ghee Han195, Rebecca Hardy223, Anna-Liisa Hartikainen224, Simon Heath225,
Susan R. Heckbert226, Bo Hedblad211, Serge Hercberg215, Dena Hernandez20, Andrew A. Hicks1, Gina Hilton173,
Aroon
D. Hingorani227,
Judith
A. Hoffman
Bolton7,
Jemma
C. Hopewell196,
Philip
Howard228,
Steve E. Humphries198, Steven C. Hunt229, Kristian Hveem230, M. Arfan Ikram24, Muhammad Islam231,232,
Naoharu Iwai233,234, Marjo-Riitta Jarvelin190, Anne U. Jackson168, Tazeen H. Jafar231,232, Charles S. Janipalli191,
Toby Johnson189, Sekar Kathiresan235, Kay-Tee Khaw170, Hyung-Lae Kim195, Sanjay Kinra236, Yoshikuni Kita237,
Mika Kivimaki227, Jaspal S. Kooner238, M.J. Kranthi Kumar191, Diana Kuh223, Smita R. Kulkarni239,
Meena
Kumari240,
Johanna
Kuusisto241,
Tatiana
Kuznetsova242,
Markku
Laakso241,
Maris
Laan243,
Jaana Laitinen244, Edward G. Lakatta245, Carl D. Langefeld246, Martin G. Larson247, Mark Lathrop225,
Debbie A. Lawlor204, Robert W. Lawrence199, Jong-Young Lee195, Nanette R. Lee248, Daniel Levy247, Yali Li249,
Will
T. Longstreth250,
Jian’an
Luan251,
Gavin
Lucas207,
Barbara
Ludwig181,
Massimo
Mangino252,
K. Radha
Mani191,
Michael
G. Marmot227,
Francesco
U.S. Mattace-Raso24,
Giuseppe
Matullo253,
Wendy L. McArdle254, Colin A. McKenzie212, Thomas Meitinger255, Olle Melander211, Pierre Meneton256,
James F. Meschia257, Tetsuro Miki258,259, Yuri Milaneschi124, Karen L. Mohlke260, Vincent Mooser261,
Mario A. Morken180, Richard W. Morris262, Thomas H. Mosley263, Samer Najjar264, Narisu Narisu180,
Christopher
Newton-Cheh174,
Khanh-Dung
Hoang
Nguyen173,
Peter
Nilsson211,
Fredrik
Nyberg203,
Christopher
J. O’Donnell247,
Toshio
Ogihara265,
Takayoshi
Ohkubo266,
Tomonori
Okamura233,234,
Rick Twee-Hee Ong267, Halit Ongen210, N. Charlotte Onland-Moret182, Paul F. O’Reilly190, Elin Org243,
Marco Orru268, Walter Palmas269, Jutta Palmen198, Lyle J. Palmer199, Nicholette D. Palmer246, Alex N. Parker270,
John F. Peden210, Leena Peltonen140, Markus Perola271, Vasyl Pihur173, Carl G.P. Platou230, Andrew Plump272,
Dorairajan Prabhakaran273, Bruce M. Psaty179, Leslie J. Raffel220, Dabeeru C. Rao274, Asif Rasheed275,
Fulvio Ricceri253, Kenneth M. Rice276, Annika Rosengren277, Jerome I. Rotter220, Megan E. Rudock278,
Siim
So˜ber243,
Tunde
Salako279,
Danish
Saleheen275,
Veikko
Salomaa271,
Nilesh
J. Samani185,
Steven M. Schwartz226, Peter E.H. Schwarz280, Laura J. Scott168, James Scott238, Angelo Scuteri245,
Joban S. Sehmi238, Mark Seielstad281, Sudha Seshadri14, Pankaj Sharma282, Sue Shaw-Hawkins189, Gang
Shi274, Nick R.G. Shrine187, Eric J.G. Sijbrands24, Xueling Sim283, Andrew Singleton20, Marketa Sjo¨gren211, Center for Statistical Genetics, Department of Biostatistics, University of Michigan, School of Public Health, Ann Arbor, Michigan 48103, USA.
169Department of Nutrition, University of North Carolina, Chapel Hill, North Carolina 27599, USA. 170Department of Public Health and Primary Care,
University of Cambridge, Cambridge, CB1 8RN, UK. 171Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA. 172Department
of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. 173Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic
Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. 174Center for Human Genetic Research, Cardiovascular Research
Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. 175Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze (ASF), 50125
Florence, Italy. 176De´partement de Ge´ne´tique Me´dicale, Universite´ de Lausanne, Lausanne 1015, Switzerland. 177Pathology and Laboratory Medicine,
University of Western Australia, 6009 Crawley, Western Australia, Australia. 178Department of Physiology and Biophysics, Keck School of Medicine,
University of Southern California, Los Angeles, California 90033, USA. 179Cardiovascular Health Research Unit, Department of Medicine, University of
Washington, Seattle 98195, Washington, USA. 180National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892,
USA. 181Department of Medicine III, Medical Faculty Carl Gustav Carus at the Technical University of Dresden, Dresden 01307, Germany. 182Julius Center for
Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3508 GA, The Netherlands. 183Leibniz-Institute for
Arteriosclerosis Research, Department of Molecular Genetics of Cardiovascular Disease, University of Mu¨nster, Mu¨nster, Germany. 184University Hospital
Mu¨nster, Internal Medicine D, Mu¨nster, Germany. 185Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester LE3 9QP,
UK. 186Clinical Pharmacology Unit, University of Cambridge, Addenbrookes Hospital, Hills Road, Cambridge CB2 2QQ, UK. 187Department of Health
Sciences, University of Leicester, University Rd, Leicester LE1 7RH, UK. 188Faculty of Epidemiology and Population Health, London School of Hygiene and
Tropical Medicine, London WC1E 7HT, UK. 189Clinical Pharmacology and The Genome Centre, William Harvey Research Institute, Barts and The London
School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK. 190Department of Epidemiology and Biostatistics, School of
Public Health, Imperial College London, Norfolk Place, London W2 1PG, UK. 191Centre for Cellular and Molecular Biology (CCMB), Council of Scientific and
Industrial Research (CSIR), Uppal Road, Hyderabad 500 007, India. 192University of Maryland, School of Medicine, Baltimore, Maryland 21201, USA.
193School of Science and Engineering, University of Ballarat, Ballarat 3353, Australia. 194International Centre for Circulatory Health, National Heart & Lung
Institute, Imperial College, London, UK. 195Center for Genome Science, National Institute of Health, Seoul, Korea. 196Clinical Trial Service Unit and
Epidemiological Studies Unit, University of Oxford, Oxford OX3 7LF, UK. 197University of Dundee, Ninewells Hospital & Medical School, Dundee DD1 9SY, UK.
198Centre for Cardiovascular Genetics, University College London, London WC1E 6JF, UK. 199Centre for Genetic Epidemiology and Biostatistics, University of
Western Australia, Crawley, Western Australia, Australia. 200Department of Preventive Medicine and Epidemiology, Loyola University Medical School,
Maywood, Illinois, USA. 201Tuscany Regional Health Agency, Florence, Italy. 202Department of Internal Medicine B, Ernst-Moritz-Arndt-University Greifswald,
Greifswald 17487, Germany. 203Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine,
Sahlgrenska Academy, University of Gothenburg, Gothenburg 40530, Sweden. 204MRC Centre for Causal Analyses in Translational Epidemiology, School of
Social & Community Medicine, University of Bristol, Bristol BS8 2BN, UK. 205BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126
University Place, Glasgow G12 8TA, UK. 206Georgia Prevention Institute, Department of Pediatrics, Medical College of Georgia, 30912 Augusta, Georgia,
USA. 207Cardiovascular Epidemiology and Genetics, Institut Municipal d’Investigacio Medica, Barcelona Biomedical Research Park, 88 Doctor Aiguader,
Barcelona 08003, Spain. 208Medizinische Klinik II, Universita¨t zu Lu¨beck, 23562 Lu¨beck, Germany. 209Department of Statistics, Pontificia Universidad
Catolica de Chile, Vicun˜a Mackena, Santiago 4860, Chile. 210Department of Cardiovascular Medicine, The Wellcome Trust Centre for Human Genetics,
University of Oxford, Oxford OX3 7BN, UK. 211Department of Clinical Sciences, Lund University, SE-205 02 Malmo¨, Sweden. 212Tropical Medicine Research
Institute, University of the West Indies, Mona, Kingston, Jamaica. 213Department of Medicine, University of Mississippi Medical Center, 2500 North State St,
Jackson, Mississippi 39216, USA. 214Genetics of Complex Traits, Peninsula Medical School, University of Exeter, EX1 2LU Exeter, UK. 215U557 Institut National
de la Sante´ et de la Recherche Me´dicale, U1125 Institut National de la Recherche Agronomique, Universite´ Paris 13, F-93017 Bobigny, France. 216Department
of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan Medical Center, Ann Arbor 48108, Michigan, USA. 217Laboratory of
Epidemiology, Demography, Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA. 218Department of Clinical
Sciences, Diabetes and Endocrinology Research Unit, University Hospital, SE-205 02 Malmo¨, Sweden. 219Human Genetics Foundation (HUGEF), Via
Lagrange 35, Torino 10123, Italy. 220Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, 90048 California, USA. 221Division of Community
Health Sciences, St George’s University of London, London SW17 0RE, UK. 222Atherosclerosis Research Unit, Department of Medicine, Karolinska Institute,
SE-171 77 Stockholm, Sweden. 223MRC Unit for Lifelong Health & Ageing, London WC1B 5JU, UK. 224Institute of Clinical Medicine/Obstetrics and
Gynecology, University of Oulu, 90014 Oulu, Finland. 225Centre National de Ge´notypage, Commissariat de L’Energie Atomique, Institut de Ge´nomique,
91000 Evry, France. 226Department of Epidemiology, University of Washington, Seattle, Washington 98195, USA. 227Epidemiology Public Health, UCL,
London WC1E 6BT, UK. 228William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London,
London EC1M 6BQ, UK. 229Cardiovascular Genetics, University of Utah, School of Medicine, Salt Lake City, 84132 Utah, USA. 230HUNT Research Centre,
Department of Public Health and General Practice, Norwegian University of Science and Technology, Levanger 7600, Norway. 231Department of Community ICBP Consortium NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications 15 NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications Nicholas L. Smith226, Maria Soler Artigas187, Tim D. Spector252, Jan A. Staessen244, Alena Stancakova241,
Nanette I. Steinle192, David P. Strachan221, Heather M. Stringham168, Yan V. Sun106, Amy J. Swift180,
Yasuharu Tabara258,259, E-Shyong Tai284, Philippa J. Talmud198, Andrew Taylor240, Janos Terzic285, Dag S.
Thelle286,
Martin
D.
Tobin189,
Maciej
Tomaszewski185,
Vikal
Tripathy273,
Jaakko
Tuomilehto287,
Ioanna Tzoulaki190, Manuela Uda268, Hirotsugu Ueshima288, Cuno S.P.M. Uiterwaal184, Satoshi Umemura289,
Pim van der Harst93, Yvonne T. van der Schouw182, Wiek H. van Gilst93, Erkki Vartiainen271, Ramachandran S.
Vasan247, Gudrun Veldre243, Germaine C. Verwoert24, Margus Viigimaa290, D.G. Vinay191, Paolo Vineis291,
Benjamin F. Voight235, Peter Vollenweider292, Lynne E. Wagenknecht246, Louise V. Wain187, Xiaoling Wang206,
Thomas J. Wang247, Nicholas J. Wareham251, Hugh Watkins210, Alan B. Weder216, Peter H. Whincup221,
Kerri L. Wiggins179, Jacqueline C.M. Witteman24, Andrew Wong223, Ying Wu259, Chittaranjan S. Yajnik239,
Jie
Yao220,
J.H.
Young293,
Diana
Zelenika225,
Guangju
Zhai252,
Weihua
Zhang190,
Feng
Zhang252,
Jing Hua Zhao251, Haidong Zhu206, Xiaofeng Zhu249, Paavo Zitting294, Ewa Zukowska-Szczechowska295 netics, Department of Biostatistics, University of Michigan, School of Public Health, Ann Arbor, Michigan 48103, USA.
170 168Center for Statistical Genetics, Department of Biostatistics, University of Michigan, School of Public Health, Ann Ar
169D
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27599 USA 170D
f P 296Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan. 297Department of Human
Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan. 298Institute of
Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan. 299School of Chinese Medicine, China Medical University, Taichung 404, Taiwan. 300Cardiovascular
Institute and Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China. 301Department of Gene
Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo 162-8655, Japan. 302Laboratory for Endocrinology
and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan. 303Laboratory for Medical Informatics, RIKEN ARTICLE 290Tallinn
University of Technology, Institute of Biomedical Engineering, Ehitajate tee 5, Tallinn 19086, Estonia. 291Department of Epidemiology and Public Health,
Imperial College, Norfolk Place, London W2 1PG, UK. 292Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne 1011,
Switzerland. 293Department of Medicine, Johns Hopkins University, Baltimore, 21205 Maryland, USA. 294Lapland Central Hospital, Department of
Physiatrics, Box 8041, Rovaniemi 96101, Finland. 295Department of Internal Medicine, Diabetology, and Nephrology, Medical University of Silesia,
Zabrze 41-800, Poland. NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications Health Sciences, Aga Khan University, 74800 Karachi, Pakistan. 232Department of Medicine, Aga Khan University, 74800 Karachi, Pakistan. 233Department
of Genomic Medicine, National Cerebral and Cardiovascular Research Center, Suita 565-8565, Japan. 234Department of Preventive Cardiology, National
Cerebral and Cardiovascular Research Center, Suita 565-8565, Japan. 235Medical Population Genetics, Broad Institute of Harvard and MIT, 5 Cambridge
Center, Cambridge, Massachusetts 02142, USA. 236Division of Non-communicable disease Epidemiology, The London School of Hygiene and Tropical
Medicine London, Keppel Street, London WC1E 7HT, UK. 237Department of Health Science, Shiga University of Medical Science, Otsu 520-2192, Japan.
238National Heart and Lung Institute, Imperial College London, London W12 0HS, UK. 239Diabetes Unit, KEM Hospital and Research Centre, Rasta Peth, Pune,
411011 Maharashtra, India. 240Genetic Epidemiology Group, Epidemiology and Public Health, UCL, London WC1E 6BT, UK. 241Department of Medicine,
University of Kuopio, Kuopio University Hospital, Kuopio 70210, Finland. 242Studies Coordinating Centre, Division of Hypertension and Cardiac Rehabilitation,
Department of Cardiovascular Diseases, University of Leuven, Campus Sint Rafae¨l, Kapucijnenvoer 35, Block D, Box 7001, Leuven 3000, Belgium. 243Institute
of Molecular and Cell Biology, University of Tartu, Riia 23, Tartu 51010, Estonia. 244Finnish Institute of Occupational Health, Finnish Institute of Occupational
Health, Aapistie 1, Oulu 90220, Finland. 245Gerontology Research Center, National Institute on Aging, Baltimore, Maryland 21224, USA. 246Wake Forest
University Health Sciences, Winston-Salem, North Carolina 27157, USA. 247National Heart, Lung and Blood Institute Framingham Heart Study, Framingham,
01702-5827 Massachusetts, USA. 248Office of Population Studies Foundation, University of San Carlos, Talamban, Cebu 6000, Philippines. 249Department
of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106, USA. 250Department of Medicine and
Neurology, University of Washington, Seattle, Washington 98195, USA. 251MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge CB2 0QQ, UK.
252Department of Twin Research and Genetic Epidemiology, King’s College London, SE1 7EH London, UK. 253Department of Genetics, Biology and
Biochemistry, University of Torino, Via Santena 19, Torino 10126, Italy. 254ALSPAC Laboratory, University of Bristol, Bristol BS8 2BN, UK. 255Institute of Human
Genetics, Helmholtz Zentrum Munich, German Research Centre for Environmental Health, Neuherberg 85764, Germany. 256U872 Institut National de la
Sante´ et de la Recherche Me´dicale, Centre de Recherche des Cordeliers, 75006 Paris, France. 257Mayo Clinic, Jacksonville, 32224 Florida, USA.
258Department of Basic Medical Research and Education, Ehime University Graduate School of Medicine, Toon 791-0295, Japan. 259Department of Geriatric
Medicine, Ehime University Graduate School of Medicine, Toon 791-0295, Japan. 260Department of Genetics, University of North Carolina, Chapel Hill, North
Carolina 27599, USA. 261Division of Genetics, GlaxoSmithKline, Philadelphia, Pennsylvania 19101, USA. 262Department of Primary Care and Population
Health, UCL, London NW3 2PF, UK. 263Department of Medicine (Geriatrics), University of Mississippi Medical Center, Jackson, 39216 Mississippi, USA.
264Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, 21224-6825 Maryland, USA.
265Department of Geriatric Medicine, Osaka University Graduate School of Medicine, Suita 565-0871, Japan. 266Tohoku University, Graduate School of
Pharmaceutical Sciences and Medicine, Sendai 980-8578, Japan. 267Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
138672, Singapore. 268Istituto di Neurogenetica e Neurofarmacologia, Consiglio Nazionale delle Ricerche, Cittadella Universitaria di Monserrato, 09042
Monserrato, Cagliari, Italy. 269Columbia University, New York, 10027 New York, USA. 270Amgen, 1 Kendall Square, Building 100, Cambridge, Massachusetts
02139, USA. 271National Institute for Health and Welfare, Helsinki 00271, Finland. 272Merck Research Laboratory, 126 East Lincoln Avenue, Rahway, New
Jersey 07065, USA. 273South Asia Network for Chronic Disease, Public Health Foundation of India, C-1/52, SDA, New Delhi 100016, India. 274Division of
Biostatistics, Washington University School of Medicine, Saint Louis, Missouri 63110, USA. 275Center for Non-Communicable Diseases, 74800 Karachi,
Pakistan. 276Department of Biostatistics, University of Washington, Seattle, 98105 Washington, USA. 277Department of Emergency and Cardiovascular
Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg 41685, Sweden. 278Epidemiology & Prevention, Division of
Public Health Sciences, Wake Forest University, School of Medicine, Winston-Salem, North Carolina 27157, USA. 279University of Ibadan, PMB 5017 Ibadan,
Nigeria. 280Prevention and Care of Diabetes, Department of Medicine III, Medical Faculty Carl Gustav Carus at the Technical University of Dresden, Dresden
01307, Germany. 281Department of Laboratory Medicine, Institute of Human Genetics, University of California, San Francisco, 513 Parnassus Avenue, San
Francisco, California 94143, USA. 282Imperial College Cerebrovascular Unit (ICCRU), Imperial College, London W6 8RF, UK. 283Centre for Molecular
Epidemiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore. 284Department of Medicine, Yong Loo Lin
School of Medicine, National University of Singapore, Singapore 119074, Singapore. 285Faculty of Medicine, University of Split, 21000 Split, Croatia.
286Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo 0317, Norway. 287Diabetes Prevention Unit, National Institute for
Health and Welfare, Helsinki 00271, Finland. 288Lifestyle-related Disease Prevention Center, Shiga University of Medical Science, Otsu 520-2192, Japan.
289Department of Medical Science and Cardiorenal Medicine, Yokohama City University School of Medicine, Yokohama 236-0004, Japan. 290Tallinn
University of Technology, Institute of Biomedical Engineering, Ehitajate tee 5, Tallinn 19086, Estonia. 291Department of Epidemiology and Public Health,
Imperial College, Norfolk Place, London W2 1PG, UK. 292Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne 1011,
Switzerland. 293Department of Medicine, Johns Hopkins University, Baltimore, 21205 Maryland, USA. 294Lapland Central Hospital, Department of
Physiatrics, Box 8041, Rovaniemi 96101, Finland. 295Department of Internal Medicine, Diabetology, and Nephrology, Medical University of Silesia,
Zabrze 41-800, Poland. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 ARTICLE Nicholas L. Smith226, Maria Soler Artigas187, Tim D. Spector252, Jan A. Staessen244, Alena Stancakova241,
Nanette I. Steinle192, David P. Strachan221, Heather M. Stringham168, Yan V. Sun106, Amy J. Swift180,
Yasuharu Tabara258,259, E-Shyong Tai284, Philippa J. Talmud198, Andrew Taylor240, Janos Terzic285, Dag S. Thelle286,
Martin
D. Tobin189,
Maciej
Tomaszewski185,
Vikal
Tripathy273,
Jaakko
Tuomilehto287,
Ioanna Tzoulaki190, Manuela Uda268, Hirotsugu Ueshima288, Cuno S.P.M. Uiterwaal184, Satoshi Umemura289,
Pim van der Harst93, Yvonne T. van der Schouw182, Wiek H. van Gilst93, Erkki Vartiainen271, Ramachandran S. Vasan247, Gudrun Veldre243, Germaine C. Verwoert24, Margus Viigimaa290, D.G. Vinay191, Paolo Vineis291,
Benjamin F. Voight235, Peter Vollenweider292, Lynne E. Wagenknecht246, Louise V. Wain187, Xiaoling Wang206,
Thomas J. Wang247, Nicholas J. Wareham251, Hugh Watkins210, Alan B. Weder216, Peter H. Whincup221,
Kerri L. Wiggins179, Jacqueline C.M. Witteman24, Andrew Wong223, Ying Wu259, Chittaranjan S. Yajnik239,
Jie
Yao220,
J.H. Young293,
Diana
Zelenika225,
Guangju
Zhai252,
Weihua
Zhang190,
Feng
Zhang252,
Jing Hua Zhao251, Haidong Zhu206, Xiaofeng Zhu249, Paavo Zitting294, Ewa Zukowska-Szczechowska295 Nicholas L. Smith226, Maria Soler Artigas187, Tim D. Spector252, Jan A. Staessen244, Alena Stancakova241,
Nanette I. Steinle192, David P. Strachan221, Heather M. Stringham168, Yan V. Sun106, Amy J. Swift180,
Yasuharu Tabara258,259, E-Shyong Tai284, Philippa J. Talmud198, Andrew Taylor240, Janos Terzic285, Dag S. Thelle286,
Martin
D. Tobin189,
Maciej
Tomaszewski185,
Vikal
Tripathy273,
Jaakko
Tuomilehto287,
Ioanna Tzoulaki190, Manuela Uda268, Hirotsugu Ueshima288, Cuno S.P.M. Uiterwaal184, Satoshi Umemura289,
Pim van der Harst93, Yvonne T. van der Schouw182, Wiek H. van Gilst93, Erkki Vartiainen271, Ramachandran S. Vasan247, Gudrun Veldre243, Germaine C. Verwoert24, Margus Viigimaa290, D.G. Vinay191, Paolo Vineis291,
Benjamin F. Voight235, Peter Vollenweider292, Lynne E. Wagenknecht246, Louise V. Wain187, Xiaoling Wang206,
Thomas J. Wang247, Nicholas J. Wareham251, Hugh Watkins210, Alan B. Weder216, Peter H. Whincup221,
Kerri L. Wiggins179, Jacqueline C.M. Witteman24, Andrew Wong223, Ying Wu259, Chittaranjan S. Yajnik239,
Jie
Yao220,
J.H. Young293,
Diana
Zelenika225,
Guangju
Zhai252,
Weihua
Zhang190,
Feng
Zhang252,
Jing Hua Zhao251, Haidong Zhu206, Xiaofeng Zhu249, Paavo Zitting294, Ewa Zukowska-Szczechowska295 16 ARTICLE ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 Health Sciences, Aga Khan University, 74800 Karachi, Pakistan. 232Department of Medicine, Aga Khan University, 74800 Karachi, Pakistan. 233Department
of Genomic Medicine, National Cerebral and Cardiovascular Research Center, Suita 565-8565, Japan. 234Department of Preventive Cardiology, National
Cerebral and Cardiovascular Research Center, Suita 565-8565, Japan. 235Medical Population Genetics, Broad Institute of Harvard and MIT, 5 Cambridge
Center, Cambridge, Massachusetts 02142, USA. 236Division of Non-communicable disease Epidemiology, The London School of Hygiene and Tropical
Medicine London, Keppel Street, London WC1E 7HT, UK. 237Department of Health Science, Shiga University of Medical Science, Otsu 520-2192, Japan. 238National Heart and Lung Institute, Imperial College London, London W12 0HS, UK. 239Diabetes Unit, KEM Hospital and Research Centre, Rasta Peth, Pune,
411011 Maharashtra, India. 240Genetic Epidemiology Group, Epidemiology and Public Health, UCL, London WC1E 6BT, UK. 241Department of Medicine,
University of Kuopio, Kuopio University Hospital, Kuopio 70210, Finland. 242Studies Coordinating Centre, Division of Hypertension and Cardiac Rehabilitation,
Department of Cardiovascular Diseases, University of Leuven, Campus Sint Rafae¨l, Kapucijnenvoer 35, Block D, Box 7001, Leuven 3000, Belgium. 243Institute
of Molecular and Cell Biology, University of Tartu, Riia 23, Tartu 51010, Estonia. 244Finnish Institute of Occupational Health, Finnish Institute of Occupational
Health, Aapistie 1, Oulu 90220, Finland. 245Gerontology Research Center, National Institute on Aging, Baltimore, Maryland 21224, USA. 246Wake Forest
University Health Sciences, Winston-Salem, North Carolina 27157, USA. 247National Heart, Lung and Blood Institute Framingham Heart Study, Framingham,
01702-5827 Massachusetts, USA. 248Office of Population Studies Foundation, University of San Carlos, Talamban, Cebu 6000, Philippines. 249Department
of Epidemiology and Biostatistics, Case Western Reserve University, 2103 Cornell Road, Cleveland, Ohio 44106, USA. 250Department of Medicine and
Neurology, University of Washington, Seattle, Washington 98195, USA. 251MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge CB2 0QQ, UK. 252Department of Twin Research and Genetic Epidemiology, King’s College London, SE1 7EH London, UK. 253Department of Genetics, Biology and
Biochemistry, University of Torino, Via Santena 19, Torino 10126, Italy. 254ALSPAC Laboratory, University of Bristol, Bristol BS8 2BN, UK. 255Institute of Human
Genetics, Helmholtz Zentrum Munich, German Research Centre for Environmental Health, Neuherberg 85764, Germany. 256U872 Institut National de la
Sante´ et de la Recherche Me´dicale, Centre de Recherche des Cordeliers, 75006 Paris, France. 257Mayo Clinic, Jacksonville, 32224 Florida, USA. 258Department of Basic Medical Research and Education, Ehime University Graduate School of Medicine, Toon 791-0295, Japan. 259Department of Geriatric
Medicine, Ehime University Graduate School of Medicine, Toon 791-0295, Japan. ARTICLE 260Department of Genetics, University of North Carolina, Chapel Hill, North
Carolina 27599, USA. 261Division of Genetics, GlaxoSmithKline, Philadelphia, Pennsylvania 19101, USA. 262Department of Primary Care and Population
Health, UCL, London NW3 2PF, UK. 263Department of Medicine (Geriatrics), University of Mississippi Medical Center, Jackson, 39216 Mississippi, USA. 264Laboratory of Cardiovascular Science, Intramural Research Program, National Institute on Aging, NIH, Baltimore, 21224-6825 Maryland, USA. 265Department of Geriatric Medicine, Osaka University Graduate School of Medicine, Suita 565-0871, Japan. 266Tohoku University, Graduate School of
Pharmaceutical Sciences and Medicine, Sendai 980-8578, Japan. 267Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
138672, Singapore. 268Istituto di Neurogenetica e Neurofarmacologia, Consiglio Nazionale delle Ricerche, Cittadella Universitaria di Monserrato, 09042
Monserrato, Cagliari, Italy. 269Columbia University, New York, 10027 New York, USA. 270Amgen, 1 Kendall Square, Building 100, Cambridge, Massachusetts
02139, USA. 271National Institute for Health and Welfare, Helsinki 00271, Finland. 272Merck Research Laboratory, 126 East Lincoln Avenue, Rahway, New
Jersey 07065, USA. 273South Asia Network for Chronic Disease, Public Health Foundation of India, C-1/52, SDA, New Delhi 100016, India. 274Division of
Biostatistics, Washington University School of Medicine, Saint Louis, Missouri 63110, USA. 275Center for Non-Communicable Diseases, 74800 Karachi,
Pakistan. 276Department of Biostatistics, University of Washington, Seattle, 98105 Washington, USA. 277Department of Emergency and Cardiovascular
Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg 41685, Sweden. 278Epidemiology & Prevention, Division of
Public Health Sciences, Wake Forest University, School of Medicine, Winston-Salem, North Carolina 27157, USA. 279University of Ibadan, PMB 5017 Ibadan,
Nigeria. 280Prevention and Care of Diabetes, Department of Medicine III, Medical Faculty Carl Gustav Carus at the Technical University of Dresden, Dresden
01307, Germany. 281Department of Laboratory Medicine, Institute of Human Genetics, University of California, San Francisco, 513 Parnassus Avenue, San
Francisco, California 94143, USA. 282Imperial College Cerebrovascular Unit (ICCRU), Imperial College, London W6 8RF, UK. 283Centre for Molecular
Epidemiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore. 284Department of Medicine, Yong Loo Lin
School of Medicine, National University of Singapore, Singapore 119074, Singapore. 285Faculty of Medicine, University of Split, 21000 Split, Croatia. 286Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo 0317, Norway. 287Diabetes Prevention Unit, National Institute for
Health and Welfare, Helsinki 00271, Finland. 288Lifestyle-related Disease Prevention Center, Shiga University of Medical Science, Otsu 520-2192, Japan. 289Department of Medical Science and Cardiorenal Medicine, Yokohama City University School of Medicine, Yokohama 236-0004, Japan. 323The Cardiovascular Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. 324Institut fu¨r integrative und experimentelle Genomik,
Universita¨t zu Lu¨beck, Lu¨beck 23562, Germany. 325Deutsches Herzzentrum Mu¨nchen, Technische Universita¨t Mu¨nchen, Mu¨nchen 80636, Germany.
326Department of Medicine, Stanford University School of Medicine, Stanford, 94305-5101 California, USA. 327Division of Cardiovascular and Neuronal
Remodelling, Multidisciplinary Cardiovascular Research Centre, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, Leeds LS2 9JT, UK.
328Klinik und Poliklinik fu¨r Innere Medizin II, Universita¨t Regensburg, 93053 Regensburg, Germany. 329Institut fu¨r Medizinische Biometrie und Statistik,
Universita¨t zu Lu¨beck, 23562 Lu¨beck, Germany. 330Science Center, Tampere University Hospital, Tampere 33521, Finland. 331The John & Jennifer Ruddy
Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario, Canada K1Y 4W7. 332deCODE Genetics, Reykjavik 101,
Iceland. 333Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland. 334Hudson Alpha Institute, Huntsville, 35806 Alabama, USA. 335Cardiovascular
Research Methods Centre, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, Ontario, Canada K1Y 4W7. 336The Blavatnik School of Computer
Science, Department of Molecular Microbiology and Biotechnology, Tel-Aviv University, Tel-Aviv 6997801, Israel. 337The International Computer Science
Institute, Berkeley, 94704 California, USA. 338Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, 19104 Pennsylvania, USA. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan. 304Saw Swee Hock School of Public Health, National University of
Singapore, Singapore 119077, Singapore. 305Department of Medicine, Khoo Teck Puat Hospital, Singapore 768828, Singapore. 306Department of
Epidemiology and Public Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore. 307Singapore Eye Research
Institute, Singapore National Eye Centre, Singapore 168751, Singapore. 308Department of Ophthalmology, Yong Loo Lin School of Medicine, National
University of Singapore, Singapore 117597, Singapore. 309Centre for Eye Research Australia, University of Melbourne, East Melbourne, 3002 Victoria,
Australia. 310Center for Human Genetics, Duke University Medical Center, Durham, 27710 North Carolina, USA. 311Department of Statistics and Applied
Probability, National University of Singapore, Singapore 117546, Singapore. 312NUS Graduate School for Integrative Science and Engineering, National
University of Singapore, Singapore 119077, Singapore. 313Center for Genome Science, National Institute of Health, Osong Health Technology Administration
Complex, 187 Chungcheongbuk-do, Korea. 314Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 08826, Korea. 315Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, 70112 Louisiana, USA. 316Department of
Clinical Gene Therapy, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan. 317Department of Geriatric Medicine and Nephrology,
Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan. 318Department of Allergy and Rheumatology, Graduate School of Medicine,
University of Tokyo, Tokyo 113-0033, Japan. 319Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama,
Kanagawa 230-0045, Japan. 320Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108-
8639, Japan. 321Laboratory for International Alliance, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan. 322Laboratory
for Cardiovascular Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan. NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications AGEN Consortium Yukinori Okada296,297, Jer-Yuarn Wu298,299, Dongfeng Gu300, Fumihiko Takeuchi301, Atsushi Takahashi296, Shiro
Maeda302, Tatsuhiko Tsunoda303, Peng Chen304, Su-Chi Lim305,306, Tien-Yin Wong307,308,309, Jianjun Liu267,
Terri L. Young310, Tin Aung307,308, Yik-Ying Teo267,283,306,311,312, Young Jin Kim313, Daehee Kang314, Chien-Hsiun
Chen298,299, Fuu-Jen Tsai299, Li-Ching Chang298, S.-J. Cathy Fann298, Hao Mei315, James E. Hixson34, Shufeng
Chen300, Tomohiro Katsuya316,317, Masato Isono301, Eva Albrecht66, Kazuhiko Yamamoto318, Michiaki Kubo319,
Yusuke Nakamura320, Naoyuki Kamatani321, Norihiro Kato301, Jiang He315, Yuan-Tsong Chen298, Toshihiro
Tanaka297,322 17 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 ARTICLE 339Cardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, 02114 Massachusetts, USA. 340Center for Human
Genetic Research, Massachusetts General Hospital, Boston, 02114 Massachusetts, USA. 341Division of Research, Kaiser Permanente, Oakland, 94611
California, USA. 342Institute for Human Genetics, University of California, San Francisco, San Francisco, 94143 California, USA. 343Department of
Cardiovascular Medicine, Cleveland Clinic 7255 Old Oak Blvd, Cleveland, Ohio 44130, USA. 344Medizinische Klinik und Poliklinik, Johannes-Gutenberg
Universita¨t Mainz, Universita¨tsmedizin, 55122 Mainz, Germany. 345Institut fu¨r Klinische Chemie und Laboratoriumsmediizin, Johannes-Gutenberg Universita¨t
Mainz, Universita¨tsmedizin, 55122 Mainz, Germany. 346INSERM UMRS 937, Pierre and Marie Curie University (UPMC, Paris 6) and Medical School, 75005
Paris, France. 347Boston University, School of Public Health, Boston, 02118 Massachusetts, USA. 348University of Minnesota School of Public Health, Division
of Epidemiology and Community Health, School of Public Health (A.R.F.), Minneapolis, 55454 Minnesota, USA. 349University of Washington, Department of
Internal Medicine, Seattle, 98195-6420 Washington, USA. 350University of Texas, School of Public Health, Houston, 77030 Texas, USA. 351Department of
Medicine, Landspitali University Hospital, Reykjavik 101, Iceland. 352Institute of Epidemiology, Helmholtz Zentrum Mu¨nchen, German Research Center for
Environmental Health, 85764 Neuherberg, Germany. 353Division of Endocrinology and Diabetes, Graduate School of Molecular Endocrinology and Diabetes,
University of Ulm, 89069 Ulm, Germany. 354Division of Endocrinology, Department of Medicine, Medical University of Graz, 8010 Graz, Austria. 355Synlab
Center of Laboratory Diagnostics Heidelberg, 69037 Heidelberg, Germany. 356Division of Clinical Chemistry, Department of Medicine, Albert Ludwigs
University, 79085 Freiburg, Germany. 357Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University Graz, 8010 Graz, Austria. 358Cardiology Group Frankfurt-Sachsenhausen, 60594 Frankfurt, Germany. 359The Center for Applied Genomics, Children’s Hospital of Philadelphia, 19104
Philadelphia, Pennsylvania, USA. 360Cardiovascular Research Institute, Medstar Health Research Institute, Washington Hospital Center, Washington, DC
20010, USA. 361Genetics Division and Drug Discovery, GlaxoSmithKline, King of Prussia, Pennsylvania 19406, USA. 362The Institute for Translational
Medicine and Therapeutics, School of Medicine, University of Pennsylvania, Philadelphia, 19104-5158 Pennsylvania, USA. 363Department of Cardiovascular
Surgery, University of Leicester, Leicester LE1 7RH, UK. 364Division of Cardiovascular and Diabetes Research, Multidisciplinary Cardiovascular Research
Centre, Leeds Institute of Genetics, Health and Therapeutics, University of Leeds, Leeds LS2 9JT, UK. 365LIGHT Research Institute, Faculty of Medicine and
Health, University of Leeds, Leeds LS2 9JT, UK. 372Department of Internal Medicine, Division of Cardiology, Medical University Graz, Graz 8036, Austria. 373Department of Medical Sciences, Uppsala
University, Uppsala 75185, Sweden. 374Division of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota 55905, USA. 375Institute of Medical
Epidemiology, Biostatistics and Informatics, Martin Luther University of Halle-Wittenberg, Halle-Wittenberg, Halle (Saale) 06097, Germany. 376Department
of Cardiology, Erasmus University Medical Center, Rotterdam 3000 CA, The Netherlands. 377Medical Clinic 2, University of Lu¨beck, Lu¨beck 23538, Germany.
378Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm 17177, Sweden. 379Martin Luther University, Halle-Wittenberg,
Halle (Saale) 06097, Germany. 380Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama 35294-0022, USA.
381Division of Cardiology, University of Maryland Hospital, Baltimore, Maryland 21201, USA. 382Institute of Medical Biometry, Epidemiology, and Informatics,
Johannes Gutenberg University, Mainz 55101, Germany. 383Institute for Community Medicine, Ernst-Moritz-Arndt-Universita¨t, Greifswald 17475, Germany. CHARGe-Heart Failure Group CHARGe-Heart Failure Group
Laura R. Loehr366,367,368, Wayne D. Rosamond367, Emelia Benjamin247, Talin Haritunians220, David Couper369,
Joanne Murabito247, Ying A. Wang13, Bruno H. Stricker24, Patricia P. Chang366, James T. Willerson370,371
366Department of Medicine, University of North Carolina at Chapel Hill, North Carolina 27516, USA. 367Department of Epidemiology, University of North
Carolina at Chapel Hill, North Carolina 27599-7435, USA. 368National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
27709, USA. 369Department of Biostatistics, University of North Carolina at Chapel Hill, North Carolina 27514, USA. 370University of Texas, Houston Health
Science Center, Houston, Texas 77030, USA. 371Texas Heart Institute, Houston, Texas 77225-0345, USA. CHARGe Heart Failure Group
Laura R. Loehr366,367,368, Wayne D. Rosamond367, Emelia Benjamin247, Talin Haritunians220, David Couper369,
Joanne Murabito247, Ying A. Wang13, Bruno H. Stricker24, Patricia P. Chang366, James T. Willerson370,371
366Department of Medicine, University of North Carolina at Chapel Hill, North Carolina 27516, USA. 367Department of Epidemiology, University of North
Carolina at Chapel Hill North Carolina 27599 7435 USA 368National Institute of Environmental Health Sciences Research Triangle Park North Carolina 366Department of Medicine, University of North Carolina at Chapel Hill, North Carolina 27516, USA. 367Department of Epidemiology, University of North
Carolina at Chapel Hill, North Carolina 27599-7435, USA. 368National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
27709, USA. 369Department of Biostatistics, University of North Carolina at Chapel Hill, North Carolina 27514, USA. 370University of Texas, Houston Health
Science Center, Houston, Texas 77030, USA. 371Texas Heart Institute, Houston, Texas 77225-0345, USA. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 NATURE COMMUNICATIONS | DOI: 10.1038/ncomms10023 CARDIOGRAM Muredach P. Reilly323, Heribert Schunkert57,324,325, Themistocles L. Assimes326, Alistair Hall327, Christian
Hengstenberg328, Inke R. Ko¨nig329, Reijo Laaksonen330, Ruth McPherson331, John R. Thompson187, Unnur
Thorsteinsdottir332,333, Andreas Ziegler329, Devin Absher334, Li Chen335, L. Adrienne Cupples13,247, Eran
Halperin336,337, Mingyao Li338, Kiran Musunuru140,339,340, Michael Preuss324,329, Arne Schillert329, Gudmar
Thorleifsson332, George A. Wells335, Hilma Holm332, Robert Roberts331, Alexandre F.R. Stewart331, Stephen
Fortmann326, Alan Go341, Mark Hlatky326, Carlos Iribarren341, Joshua Knowles326, Richard Myers334, Thomas
Quertermous326, Steven Sidney341, Neil Risch342, Hua Tang343, Stefan Blankenberg344, Renate Schnabel344,
Christoph Sinning344, Karl J. Lackner345, Laurence Tiret346, Viviane Nicaud346, Francois Cambien346,
Christoph Bickel344, Hans J. Rupprecht344, Claire Perret346, Carole Proust346, Thomas F. Mu¨nzel344, Maja
Barbalic34, Ida Yii-Der Chen220, Serkalem Demissie-Banjaw246,347, Aaron Folsom348, Thomas Lumley275, Kristin
Marciante349, Kent D. Taylor220, Kelly Volcik350, Solveig Gretarsdottir332, Jeffrey R. Gulcher332, Augustine
Kong332, Kari Stefansson332,333, Gudmundur Thorgeirsson333,351, Karl Andersen333,351, Marcus Fischer328, Anika
Grosshennig324,329, Patrick Linsel-Nitschke324, Klaus Stark328, Stefan Schreiber38, Zouhair Aherrahrou57,324,
Petra Bruse57,324, Angela Doering352, Norman Klopp352, Patrick Diemert324, Christina Loley324,329, Anja
Medack57,324, Janja Nahrstedt324,329, Annette Peters68, Arnika K. Wagner324, Christina Willenborg57,324,
Bernhard O. Bo¨hm353, Harald Dobnig354, Tanja B. Grammer355, Michael M. Hoffmann356, Andreas Meinitzer357,
Bernhard R. Winkelmann358, Stefan Pilz354, Wilfried Renner357, Hubert Scharnagl357, Tatjana Stojakovic357,
Andreas Tomaschitz354, Karl Winkler356, Candace Guiducci16, Noel Burtt16, Stacey B. Gabriel16, Sonny
Dandona331, Olga Jarinova331, Liming Qu338, Robert Wilensky323, William Matthai323, Hakon H. Hakonarson359,
Joe Devaney360, Mary Susan Burnett360, Augusto D. Pichard360, Kenneth M. Kent360, Lowell Satler360, Joseph
M. Lindsay360, Ron Waksman360, Christopher W. Knouff361, Dawn M. Waterworth361, Max C. Walker361,
Stephen E. Epstein360, Daniel J. Rader323,362, Christopher P. Nelson185, Benjamin J. Wright363, Anthony J. Balmforth364, Stephen G. Ball365 NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications 18 ECHOGen Consortium ECHOGen Consortium
Stephan B. Felix202, Norbert Watzinger372, Jayashri Aragam247, Robert Zweiker372, Lars Lind373, Richard J. Rodeheffer374, Karin Halina Greiser375, Jaap W. Deckers376, Jan Stritzke377, Erik Ingelsson378, Iftikhar Kullo374,
Johannes Haerting375, Thorsten Reffelmann202, Margaret M. Redfield374, Karl Werdan379, Gary F. Mitchell247,
Donna K. Arnett380, John S. Gottdiener381, Maria Blettner382, Nele Friedrich383 19 19 NATURE COMMUNICATIONS | 7:10023 | DOI: 10.1038/ncomms10023 | www.nature.com/naturecommunications
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Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las transformaciones de la actividad sociocultural
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Revista Gearte
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ISSN 2357-9854|e-ISSN 2596-3198 (online) ISSN 2357-9854|e-ISSN 2596-3198 (online) VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural.
Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020.
http://dx.doi.org/10.22456/2357-9854.103750 PALABRAS CLAVE Trabajo artesanal. Artesanía. Artesanos. Capitalismo. Creatividad. Trabajo artesanal. Artesanía. Artesanos. Capitalismo. Creatividad. RESUMO — Trabalho artesanal, artesanato e indústrias criativas: reflexões em relação às
transformações da atividade sociocultural — O objetivo do artigo é desenvolver uma crítica da
compreensão do artesanato e do trabalho artesanal desde o desenvolvimento histórico capitalista. Nesse sentido se realiza uma primeira reflexão entre a indústria e o trabalho artesanal como parte
da organização técnica e política dos artesãos no capitalismo industrial. Depois se apresenta uma
reflexão sobre a indústria cultural e o artesanato, entendendo as relações sociais, políticas e
simbólicas que oferecem reconhecimento do aparecimento do artesanato e do artesão como
expressão cultural. Logo, se complementa a reflexão com a análise das indústrias criativas e a
produção artesanal na atual classificação de ocupações. No final do artigo realizam-se reflexões
conceituais e políticas que definem trajetórias do estudo e intervenção. PALAVRAS CHAVE p
PALAVRAS-CHAVE Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a
las transformaciones de la actividad sociocultural Daniel Roberto Vega Torres
(Fundación Universitaria Juan de Castellanos, Tunja/Boyacá, Colombia) Daniel Roberto Vega Torres
(Fundación Universitaria Juan de Castellanos, Tunja/Boyacá, Colombia) RESUMEN — Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural — El objetivo del artículo es desarrollar una
crítica de la comprensión de la artesanía y del trabajo artesanal desde el desarrollo histórico
capitalista. Para ello se realiza una primera reflexión entre la industria y el trabajo artesanal como
parte de la organización técnica y política de los artesanos en el capitalismo industrial. Luego se
desarrolla una reflexión sobre la Industria cultural y la artesanía, entendiendo las implicaciones
sociales políticas y simbólicas que permiten reconocer la emergencia de la artesanía y del artesano. Después se complementa la reflexión mediante el análisis de las industrias creativas y la producción
artesanal en la clasificación de ocupaciones actual. Al final se realizan reflexiones conceptuales y
políticas que definen trayectorias de estudio e intervención. PALABRAS CLAVE PALABRAS CLAVE PALABRAS CLAVE Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. PALAVRAS-CHAVE Trabalho artesanal. Artesanato. Artesãos. Capitalismo. Criatividade. ABSTRACT — Craft work, crafts and creative industries: reflections on the transformations
of socio-cultural activity. — The objective of the article is to develop a critique of the understanding
of crafts and craft work from the capitalist historical development. For this, a first reflection is made
between industry and artisan work as part of the technical and political organization of artisans in
industrial capitalism. Then a reflection is developed on the cultural industry and crafts, understanding
the political and symbolic social implications that allow us to recognize the emergence of crafts and
artisans. Then the reflection is complemented by analyzing the creative industries and artisan
production in the current occupation classification. At the end, conceptual and political reflections
are made that define trajectories of study and intervention. KEYWORDS Craft work. Crafts. Artisans. Capitalism. Creativity. 461 VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte a GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. ,
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transformaciones de la actividad sociocultural. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. g
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Disponível em: http://seer.ufrgs.br/gearte Disponível em: http://seer.ufrgs.br/gearte vista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Introducción ¿Cuál es la compresión contemporánea de la artesanía o de lo artesanal?,
¿cuándo se habla de artesanal se podría hablar de un campo constituido o acaso
puede pensarse como una práctica cultural natural de los seres humanos? y de
forma actual, ¿qué relación tiene con las actividades creativas y/o artísticas? Estos
cuestionamientos trazan trayectorias sobre la comprensión de la actividad
artesanal y de la artesanía como una cuestión que requiere de análisis no
solamente técnico sino también sociocultural, pues de allí puede tenerse un juicio
claro de las posibilidades de desarrollo e intervención política sobre dicho
fenómeno social. Actualmente el desarrollo de trabajos académicos sobre la
actividad artesanal ha tenido un fuerte aumento en relación a diferentes
condiciones, si trazáramos grosso modo la tendencia en las publicaciones sobre la
artesanía (Figura 1), podría evaluarse un crecimiento tanto por la actividad
propiamente dicha, como por la palabra como uso descriptivo y hasta metafórico. Así, esto expresa una consolidación de intereses políticos culturales que van desde
las condiciones propiamente técnicas, empresariales, culturales, arqueológicas,
artísticas, entre otras. Figura 1 – Producción de textos sobre “artesanía” por año, tomado de la base de datos
Google Académico en el periodo 1988 a 2018
Fuente: Google Académico, Elaboración propia. (2019). 0
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2018 Figura 1 – Producción de textos sobre “artesanía” por año, tomado de la base de datos
Google Académico en el periodo 1988 a 2018 De esta manera, el peso de la producción confirma el desarrollo de un área
de interés académico que puede indicar de forma directa o indirecta el 462 Disponível em: http://seer.ufrgs.br/gearte reconocimiento que la artesanía ha tenido como estudio en Iberoamérica. La
complejidad de dicho proceso no deja de ser problemático si pensamos que la
artesanía como estudio se compone de diferentes aristas que se pueden extrapolar
a diferentes áreas del conocimiento, o que pueden considerarse divergentes entre
sí, sin observar una base común de organización que cobije las diferentes
expresiones del trabajo artesanal o de artesanía. Introducción Un segundo momento del
desarrollo de la industria cultural y la artesanía, como eje de la producción
patrimonial cultural que permite un proceso de subsunción indirecta del saber
hacer local a la acumulación capitalista; luego, la relación entre las industrias
creativas y la actividad artística-artesanal, como parte de la subordinación directa
del trabajo artesanal al capital, entendiendo su desarrollo en el mercado mundial. Por último, se presentará una relación de categorías que pueden ser utilizadas
para el estudio e intervención de lo artesanal. reconocimiento de identidades laborales y políticas. Un segundo momento del
desarrollo de la industria cultural y la artesanía, como eje de la producción
patrimonial cultural que permite un proceso de subsunción indirecta del saber
hacer local a la acumulación capitalista; luego, la relación entre las industrias
creativas y la actividad artística-artesanal, como parte de la subordinación directa
del trabajo artesanal al capital, entendiendo su desarrollo en el mercado mundial. Por último, se presentará una relación de categorías que pueden ser utilizadas
para el estudio e intervención de lo artesanal. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las Disponível em: http://seer.ufrgs.br/gearte g
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Disponível em: http://seer.ufrgs.br/gearte ,
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transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte Introducción En este sentido, tratar de
responder la cuestión sobre la comprensión contemporánea de la artesanía puede
que tenga que ir más allá de la apariencia naturalizada del objeto de estudio, y por
el contrario definir una crítica sobre su conformación sociocultural que corresponda
a sus posibilidades concretas. reconocimiento que la artesanía ha tenido como estudio en Iberoamérica. La
complejidad de dicho proceso no deja de ser problemático si pensamos que la
artesanía como estudio se compone de diferentes aristas que se pueden extrapolar
a diferentes áreas del conocimiento, o que pueden considerarse divergentes entre
sí, sin observar una base común de organización que cobije las diferentes
expresiones del trabajo artesanal o de artesanía. En este sentido, tratar de
responder la cuestión sobre la comprensión contemporánea de la artesanía puede
que tenga que ir más allá de la apariencia naturalizada del objeto de estudio, y por
el contrario definir una crítica sobre su conformación sociocultural que corresponda
a sus posibilidades concretas. En ese sentido, este estudio parte de una reflexión sobre lo artesanal como
eje de problematización de la actividad humana, que corresponda con la historia
concreta del desarrollo de producción dominante capitalista, tomando como
hipótesis de estudio que solo mediante la comprensión del trabajo en un modo
dominante de producción histórica se puede definir las condiciones de desarrollo y
las transformaciones sobre las cuales se puede ejercer una comprensión
pertinente para su correspondiente intervención y dirección. En ese sentido, la
reflexión sobre lo artesanal no debe partir de un concepto “ideal”, como usualmente
se realiza a la hora de definir las características de dicha actividad, y donde los
debates sobre los límites de lo que debe ser o no debe ser lo artesanal extrapolan
la coherencia del estudio científico, derivando de esta manera en una imposición
normativa del ejercicio administrativo. Por el contrario, pensar lo artesanal debe
fundamentarse en las formas de desarrollo de las condiciones productivas
generales de la sociedad. De esta manera, mediante el desarrollo de la producción capitalista se podrá
obtener un mecanismo de comprensión claro del fenómeno social. Así, se
dispondrán de tres ejes de desarrollo e institucionalización de la actividad artesanal
para la exposición: el primero desde una comprensión propia de la relación trabajo
industrial y trabajo artesanal que permite la disyuntiva productiva y el 463 reconocimiento de identidades laborales y políticas. Industria y Trabajo artesanal Uno de los aspectos principales trabajados en la historia de la formación del
capitalismo industrial en el siglo XIX ha permitido profundizar en los cambios
sociales de la producción, de donde puede permitirse evaluar cambios
significativos entre lo que era propiamente pre-industrial como aquello que
constituiría el desarrollo de una sociedad industrial. Ese periodo de división de la
sociedad moderna sobre sus bases materiales de producción permitió que tanto el
desarrollo de la cooperación de trabajadores, la construcción de las grandes
fábricas y la maquinaria como eje de la producción permitiera un cambio en la
consideración de la evaluación de la producción manual con herramientas simples,
que estaba considerada como parte de los oficios de las ciudades en los diferentes
territorios de la sociedad occidental. Tanto en la historia de los imperios como en
la transformación de sus colonias, este cambio produjo una fuerte reacción en la
organización de los trabajadores de oficios y gremios artesanales, que vieron
vulnerados su forma de organización social y política, pues la dependencia de los
gremios de artesanos a la vida cotidiana de las poblaciones tanto de las grandes
urbes como de los pueblos de las colonias terminarían por evidenciar de manera
violenta la proletarización de la población trabajadora. Este cambio de las condiciones generales de la producción condujo a la
formación de la clase proletaria de una manera mucho más rápida en Inglaterra, 464 pero también se produjo un cambio en las condiciones de los pequeños
propietarios de la clase media, que reaccionaban de forma organizada a una
política de protección de los oficios artesanales en gremios con fuerte influencia en
la organización política local y nacional, como aconteció en los territorios de la
actual Alemania y Francia. En ese sentido, la actividad gremial de artesanos pudo
verse contrarrestada por mecanismos sociales de lucha revolucionaria y
contrarrevolucionaria de los gremios de artesanos (ENGELS, 1980). Para el caso,
la proletarización de la población rural en migración a las ciudades y el dominio de
la clase burguesa en la consolidación de un modo de producción capitalista
dominante definieron la identidad de los artesanos. La identificación de los artesanos como clase media corresponde a un
proceso de organización política en las transformaciones materiales de producción
industrial dominante, esto ocurre tanto en las sociedades de temprana
industrialización, como en las colonias y excolonias. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte g
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Disponível em: http://seer.ufrgs.br/gearte a GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Industria y Trabajo artesanal Cuando se consolida el proceso de identificación de lo artesanal en el capitalismo
industrial decimonónico se produce un cambio más que técnico propiamente
político, en donde los artesanos, en el sentido de hombres que socialmente pueden
organizarse por sus oficios reconocidos social y culturalmente pueden integrar una
clase social en el contexto histórico de dominio del trabajo productivo masculino. frente a los cambios económicos de producción y consumo en la sociedad. En
Latinoamérica se encuentra este proceso político de sociabilidad de los artesanos
desde una identificación positiva como clase social frente a los comerciantes, lo
que deriva en una lucha indirecta de la transformación de la producción industrial
en Europa, y que en este caso genera un movimiento internacional en la región
que lleva a consolidar sociabilidades políticas de artesanos (LOAIZA, 2011). Cuando se consolida el proceso de identificación de lo artesanal en el capitalismo
industrial decimonónico se produce un cambio más que técnico propiamente
político, en donde los artesanos, en el sentido de hombres que socialmente pueden
organizarse por sus oficios reconocidos social y culturalmente pueden integrar una
clase social en el contexto histórico de dominio del trabajo productivo masculino. Son los artesanos organizados en valores tradicionales de producción, pero
no solo de valores técnicos sino también culturales, se aferran a producir discursos
reaccionarios en su mayoría tanto a la clase burguesa de empresarios en creciente
dominio del mercado, como de los trabajadores proletarios que no constituían una
clase que tuviese las capacidades simbólicas que los oficios y la propiedad de los
productores artesanales tenían en su haber, esos recursos de distinción familiar,
religiosa, ociosa y cultural que frecuentemente constituía un escenario más
cercano de identificación a las condiciones de la pequeña burguesía. Este notable
ejercicio de desdoblamiento de la clase media que comentaba Marx (1980), fue
parte del desarrollo general en cada uno de los países, pues solo en algunos casos
de fuerte poder político como en Francia, Italia y Alemania pudieron permanecer
los artesanos agremiados en su mercado interno (ZARCA, 1993), lo que
actualmente da su valor diferencial en organización frente a otros sistemas de
organización laboral de los artesanos. Pero esta situación no corresponde con las
colonias y excolonias que debieron supeditarse a la integración del mercado de
producción industrializada en la dependencia de mercados. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. vista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. sponível em: http://seer.ufrgs.br/gearte Disponível em: http://seer.ufrgs.br/gearte Industria y Trabajo artesanal La experiencia de la
organización laboral de los gremios artesanales en las colonias ya había tenido
una reacción temprana en la liberalización de políticas comerciales que afectaban
los oficios locales, quienes habían apoyado movilizaciones iniciales frente a las
políticas imperiales de comercio y producción (LOAIZA, 2011). En un medio de
producción local la diferenciación por oficios es más común para la identificación
de los trabajadores, en ese sentido, la importancia del reconocimiento de los
gremios no se presentaba como una identidad general de “artesanos”, sino que se
identificaban por oficios, zapateros, joyeros, pintores, escultores, etc (MORA DE
JARAMILLO, 1974). En ese sentido, la diferenciación y distinción dentro de los
gremios tenía que ver más con el material de trabajo y con la habilidad técnica que
permitía un consumo de producción suntuosa, frente a labores de trabajo manual
con materiales rústicos que representaban la vida pre-moderna. Solo mediante la irrupción de la industrialización y la grande fábrica puede
entenderse que exista una necesidad de identificación de los pequeños
propietarios y trabajadores manuales que permitieran identificar su posición política 465 Disponível em: http://seer.ufrgs.br/gearte frente a los cambios económicos de producción y consumo en la sociedad. En
Latinoamérica se encuentra este proceso político de sociabilidad de los artesanos
desde una identificación positiva como clase social frente a los comerciantes, lo
que deriva en una lucha indirecta de la transformación de la producción industrial
en Europa, y que en este caso genera un movimiento internacional en la región
que lleva a consolidar sociabilidades políticas de artesanos (LOAIZA, 2011). Cuando se consolida el proceso de identificación de lo artesanal en el capitalismo
industrial decimonónico se produce un cambio más que técnico propiamente
político, en donde los artesanos, en el sentido de hombres que socialmente pueden
organizarse por sus oficios reconocidos social y culturalmente pueden integrar una
clase social en el contexto histórico de dominio del trabajo productivo masculino. frente a los cambios económicos de producción y consumo en la sociedad. En
Latinoamérica se encuentra este proceso político de sociabilidad de los artesanos
desde una identificación positiva como clase social frente a los comerciantes, lo
que deriva en una lucha indirecta de la transformación de la producción industrial
en Europa, y que en este caso genera un movimiento internacional en la región
que lleva a consolidar sociabilidades políticas de artesanos (LOAIZA, 2011). g
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Disponível em: http://seer.ufrgs.br/gearte Industria y Trabajo artesanal La
situación de los artesanos en su lucha política pierde vigencia frente al crecimiento
de las ciudades y los cambios en la forma de consumo e integración laboral
mediante la formación de la clase obrera industrial que corresponde a un aspecto
general de transformación de la vida familiar y cultural urbanizada. Lo artesanal
como forma de producción se mantiene poco a poco en lo local, en la formación
de lo rural como forma de vida contrapuesta a la modernidad que se vive en las
ciudades. El trabajador autónomo en su oficio, propietario de su saber y de sus
herramientas corresponde cada vez más a lo tradicional, a lo pre-moderno, y su
identidad como artesano ya no va a competir con el sistema de reconocimiento y
producción capitalista por su baja productividad, sino al sistema de reconocimiento
de lo cultural, como símbolo del saber y el hacer. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. ,
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transformaciones de la actividad sociocultural. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las Industria y Trabajo artesanal Con la llegada del siglo XX, la consolidación del capitalismo industrial y su
proceso imperialista definió la transformación de las condiciones laborales en los 466 diferentes países tanto centrales como periféricos a la acumulación del capital. La
situación de los artesanos en su lucha política pierde vigencia frente al crecimiento
de las ciudades y los cambios en la forma de consumo e integración laboral
mediante la formación de la clase obrera industrial que corresponde a un aspecto
general de transformación de la vida familiar y cultural urbanizada. Lo artesanal
como forma de producción se mantiene poco a poco en lo local, en la formación
de lo rural como forma de vida contrapuesta a la modernidad que se vive en las
ciudades. El trabajador autónomo en su oficio, propietario de su saber y de sus
herramientas corresponde cada vez más a lo tradicional, a lo pre-moderno, y su
identidad como artesano ya no va a competir con el sistema de reconocimiento y
producción capitalista por su baja productividad, sino al sistema de reconocimiento
de lo cultural, como símbolo del saber y el hacer. diferentes países tanto centrales como periféricos a la acumulación del capital. La
situación de los artesanos en su lucha política pierde vigencia frente al crecimiento
de las ciudades y los cambios en la forma de consumo e integración laboral
mediante la formación de la clase obrera industrial que corresponde a un aspecto
general de transformación de la vida familiar y cultural urbanizada. Lo artesanal
como forma de producción se mantiene poco a poco en lo local, en la formación
de lo rural como forma de vida contrapuesta a la modernidad que se vive en las
ciudades. El trabajador autónomo en su oficio, propietario de su saber y de sus
herramientas corresponde cada vez más a lo tradicional, a lo pre-moderno, y su
identidad como artesano ya no va a competir con el sistema de reconocimiento y
producción capitalista por su baja productividad, sino al sistema de reconocimiento
de lo cultural, como símbolo del saber y el hacer. diferentes países tanto centrales como periféricos a la acumulación del capital. ,
j
transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte g
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Disponível em: http://seer.ufrgs.br/gearte g
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Disponível em: http://seer.ufrgs.br/gearte TE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. La industria cultural y la Artesanía Cabe anotar que cuando se habla de forma dominante de producción
capitalista no tiene que corresponder a que exista únicamente una producción
industrial con una proletarización general de la población trabajadora, sino que por
el contrario, es el poder que ejerce la transformación de una forma de producir lo
que termina afectando directa o indirectamente la organización social del trabajo
de manera amplia. En este sentido, aunque en el siglo XX comienza el crecimiento
de las ciudades y la forma de vida moderna corresponde con un consumo de
mercancías industrializadas en un mercado mundial, es necesario identificar que
el desarrollo capitalista también permitió la constitución de un proceso diferencial
de la vida comunitaria local o rural. Si no se integraba la población a la vida urbana,
es posible que la manera de vivir, pensar y producir tuviese que definirse de
manera contrapuesta, pero en muchos casos dependiente del sistema dominante. Este proceso de identificación de la producción artesanal tiene que ver más
con un proceso de comprensión y estudio de lo cultural como eje del
reconocimiento, es decir, en un primer momento los estudios sobre las poblaciones 467 Disponível em: http://seer.ufrgs.br/gearte rurales, derivadas de la etnografía, la antropología y la sociología definieron
características de la población en los discursos que definían formas de producir y
vivir. Es así que en este mecanismo de caracterización de la población se ejerce
un reconocimiento externo, de los académicos hacía la población, que terminan
por definir la actividad social local pre-moderna como una actividad cultural o
folclórica, es decir que hace parte del estudio eurocéntrico colonial de la mirada de
la producción y forma de vida que encajaba en la comprensión de la “naturaleza”
de dichas poblaciones, especialmente de indios, negros y asiáticos. La formación de la artesanía como estudio corresponde a un ejercicio de
poder de definición de las formas de vida y las formas de producción rural, pre-
industrial y pre-moderna que fueron clasificados desde la noción colonizadora de
la diversidad en las formas de producción local, dependientes de los territorios
tanto por sus condiciones físicas (recursos materiales, recursos ambientales) como
de sus condiciones sociales (cultura, memoria, tradición, aprendizaje). Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las sponível em: http://seer.ufrgs.br/gearte ,
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transformaciones de la actividad sociocultural. g
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Disponível em: http://seer.ufrgs.br/gearte TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
rmaciones de la actividad sociocultural. La industria cultural y la Artesanía En ese
sentido, el objetivo del conocimiento no se encontraba en los sujetos propiamente
tales, sino en los objetos, en la “artesanía”, es el objeto la razón de estudio, saber
y clasificación, una clasificación que ponía de manifiesto el folclor y la cultural de
lo local en un ejercicio homogéneo de identificación a lo largo de los territorios
colonizados o periféricos a la vida moderna. Mediante la “racialización” de las poblaciones periféricas (CAMPOS, 2012),
rurales o minoritarias, adquieren un valor naturalizado que exige del discurso
académico crear la correspondencia entre el ser social como ser natural, en esto
consiste la clave de los discursos sobre la producción de artesanías a lo largo del
siglo XX, pues se concentra como un debate sobre la aprehensión de lo distinto a
la vida occidental, urbana e industrial. De esta manera se reproduce
ideológicamente el mito de la artesanía como parte de la naturaleza humana. La
artesanía no solo encubre un estudio etnográfico y colonizador de la no-
modernidad, de la otredad, sino que además fortalece esa distinción en la
descripción del objeto sobre el sujeto, pues en este caso no se puede ser artesano 468 sin antes presentar de forma clara cuál es la artesanía que produce. Este juego de
dependencia del artesano y la artesanía en donde se institucionaliza la actividad
artesanal puede ser el paso clave de su desarrollo como objeto de estudio cultural. sin antes presentar de forma clara cuál es la artesanía que produce. Este juego de
dependencia del artesano y la artesanía en donde se institucionaliza la actividad
artesanal puede ser el paso clave de su desarrollo como objeto de estudio cultural. sin antes presentar de forma clara cuál es la artesanía que produce. Este juego de
dependencia del artesano y la artesanía en donde se institucionaliza la actividad
artesanal puede ser el paso clave de su desarrollo como objeto de estudio cultural. sin antes presentar de forma clara cuál es la artesanía que produce. Este juego de
dependencia del artesano y la artesanía en donde se institucionaliza la actividad
artesanal puede ser el paso clave de su desarrollo como objeto de estudio cultural. La genealogía del término artesanía, que puede ser más extenso en su
desarrollo práctico y científico (MEJÍA, 2004), pero corresponde en este caso a un
uso específico de identificación cultural de las poblaciones rurales o periféricas. vista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural.
4 VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las sponível em: http://seer.ufrgs.br/gearte ,
j
transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte La industria cultural y la Artesanía Periféricas en la producción, porque los medios continúan siendo la fuerza física o
la herramienta simple, a diferencia del desarrollo técnico y tecnológico industrial. Periféricas en la sociedad, pues son las poblaciones no occidentales o pre-
modernas las que constituyen el objeto de análisis y clasificación. Periféricas en
los recursos, pues se trabaja sobre materiales como la madera, el carbón, el barro,
el algodón, o las fibras naturales en general, frente a los metales y polímeros
industrializados en la gran industria. Periféricas en la división sexual del trabajo,
pues las mujeres van a tener una mayor participación en dicha producción, las
actividades domésticas de reproducción social de la vida comunitaria van a integrar
una forma de vida cultural y étnica definida en la producción de artesanía. Las mujeres van a sostener el proceso de organización del trabajo artesanal,
pues son principalmente ellas las que van a producir un proceso de identificación
y organización comunitaria como artesanas, artesanas que producen artesanías
(VEGA, 2013), y es allí donde las unidades productivas que en el silo XIX tenían
locales en las zonas urbanas, van a trasladarse a los hogares de las familias
rurales donde la división sexual del trabajo, entre las labores de agricultura se
entrelazan en obligaciones dominantes sobre la producción doméstica de las
mujeres en su saber hacer propiamente dado para los útiles domésticos. En ese
sentido, el mobiliario y utensilios domésticos que fueron organizando los mercados
en los centros urbanos y en las plazas de las ciudades mediante la migración
interna de la población rural, va a ser el paisaje principal de reconocimiento de la
actividad artesanal a lo largo del siglo XX. Que se haya identificado la artesanía 469 con la producción doméstica femenina es un ejercicio de naturalización de la
dominación masculina de la reproducción de la vida social. con la producción doméstica femenina es un ejercicio de naturalización de la
dominación masculina de la reproducción de la vida social. con la producción doméstica femenina es un ejercicio de naturalización de la
dominación masculina de la reproducción de la vida social. vista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. ,
j
,
transformaciones de la actividad sociocultural. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. sponível em: http://seer.ufrgs.br/gearte ,
j
transformaciones de la actividad sociocultural. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. La industria cultural y la Artesanía Sin embargo, este proceso que inicia en la primera mitad del siglo XX como
un mecanismo de reconocimiento, naturalización y clasificación, tiene su
continuidad en el proceso de integración a la producción capitalista en la medida
que se subordina este tipo de producción y se territorializa el mercado local como
parte de la actividad del consumo turístico y cultural de la clase media y la clase
trabajadora urbana. Parte del desarrollo de la industria cultural de la artesanía se
integra indirectamente mediante el consumo en la sociedad capitalista y no en la
transformación de los medios de producción. Este ejercicio de integración es lo que
Néstor García Canclini consideraba como la “hibridación” de la cultura, lo que en
sus bases materiales consistía en lo que Marx llamaba como la subordinación
indirecta de la producción al capital. Este mecanismo de dominación de la cultura
no corresponde directamente a una racionalidad instrumental de los productores,
como mencionaba Adorno y Horkheimer, sino que es en el desarrollo desigual y
combinado del capital en el mercado mundial donde se identifican las formas no
occidentales de vida en comunidad, que terminan por ser parte del circuito total de
acumulación y concentración del capital. Así, el modo de desarrollo fordista de la gran industria que constituye la
forma de organización política, económica y social del trabajo a lo largo del siglo
XX, presenta una integración indirecta de las formas dominadas de producción
cultural rural mediante la posibilidad de consumo de la clase trabajadora o de los
obreros urbanos. Sin este proceso de consumo, la producción artesanal como
mercado local no tendría como reproducirse, lo que podría haber llevado a
permanecer a la población de las comunidades rurales en una producción de
subsistencia. Es precisamente ese paso de la producción de subsistencia a la
producción de un mercado local dependiente de la sociedad capitalista industrial
lo que define el espacio social donde se estructura el campo social de la actividad
artesanal en el siglo XX. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. vista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. sponível em: http://seer.ufrgs.br/gearte EGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las Disponível em: http://seer.ufrgs.br/gearte transformaciones de la actividad sociocultural.
Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. La industria cultural y la Artesanía 470 Más reconocido el término, y más socializado desde la academia, es posible
que la artesanía haya tenido ese crecimiento en los estudios que aparece en la
figura 1, como mecanismo de reconocimiento y relación entre lo rural y lo urbano,
tanto desde un proceso de intervención económica para el mejoramiento de las
condiciones productivas de las artesanas, integradas en su contexto rural y su
aplicación en la organización del mercado en la comercialización hacia las
ciudades; como desde la crítica socioeconómica de la producción desde las
desigualdades, la pobreza y la marginalidad en donde se desarrolla la actividad
artesanal, especialmente en los países del denominado “tercer mundo”. Allí la
formación cultural de las poblaciones como mecanismo etnológico de
reconocimiento y auto-reconocimiento van a permitir que las formas de lucha de
las comunidades tomen como recurso los símbolos, tradiciones y expresiones
locales frente a la globalización. La institucionalización de la artesanía se constituye como un correlato al
desarrollo capitalista, colonialista y patriarcal que constituye el fordismo. El Estado
como forma de promoción y protección de las políticas públicas termina validando
en un principio las condiciones folclóricas de la vida en lo local al ser patrimonio
cultural, tanto como por incentivar procesos de reconocimiento formal de las
actividades, empezando por la formación de leyes correspondientes a la
planificación de la actividad en cada país. Este proceso que se consolida en la
segunda mitad del siglo XX permite tanto naturalizar la actividad de la artesanía,
como delimitar la participación de las categorías de artesanos en la población. Proceso que debido a la informalidad de la actividad, inscrita en la cotidianidad del
trabajo flexible pago y no pago de las mujeres, sufrió siempre problemas en la
consolidación de la identificación de las trabajadoras. No obstante, como ley, se
ha consolidado en los países la necesidad de reglamentar la actividad, siendo la
conceptualización el principal problema para la definición de quién es artesano y
qué es artesanía. 471 Disponível em: http://seer.ufrgs.br/gearte Por otro lado, la identificación de las artesanas en las zonas rurales presenta
problemas comunes de acceso y apropiación de los recursos que les permitan
mayor justicia en el mercado. La estabilidad económica, la competencia con
comerciantes, los bajos precios de venta y la baja calificación técnica, entre otras,
son una constante en la población artesana de objetos utilitarios, folclóricos y
culturales. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. transformaciones de la actividad sociocultural.
Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las sponível em: http://seer.ufrgs.br/gearte VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural.
Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Disponível em: http://seer.ufrgs.br/gearte Disponível em: http://seer.ufrgs.br/gearte j
transformaciones de la actividad sociocultural. La industria cultural y la Artesanía Esta manera limita la identidad de la población trabajadora, o que
depende del trabajo a fragmentarse en asociaciones locales y regionales, pero que
por la misma reproducción del objeto de su actividad cultural no consiguen superar
su dependencia a la clase trabajadora formal de ingresos medio y alto. Puesto que
además de luchar por la producción industrializada de baja calidad y de menor
precio, de productores de otros países y regiones, deben competir por la
diferenciación de productos entre los mismos productores para que exista una
estabilidad financiera. Pese a estas situaciones, las propuestas de alternativas al desarrollo
capitalista utilizan las representaciones de la artesanía como parte de la contra-
globalización, en donde lo valores comunitarios y de cuidado son exaltados en las
poblaciones marginadas y excluidas de la acumulación y concentración capitalista. La economía social y solidaria adhiere en sus principios una forma de producción
que considere el trabajo artesanal como respuesta hacia el daño ecológico social
provocado por la producción dominante capitalista (KELLER, 2011), y que
contribuye a crear símbolos locales de resistencia mediante prácticas que
consideran valores propios y valores de uso como el eje principal de la
transformación productiva hacía otra sociedad. Sin embargo, este proceso basado
en la artesanía puede tener problemas prácticos en la crítica al sistema capitalista,
cuando la misma actividad artesanal puede encubrir valores excluyentes,
discriminatorios y políticamente fragmentados. 472 Industrias creativas y actividad artística
Si por un lado el fordismo representaba el modo de desarrollo de la sociedad
industrial, por otro lado la crisis de los setenta y la reestructuración productiva que
trajo consigo disminuyó la concentración de trabajadores en la grande industria, y
por el contrario, existió un crecimiento del sector servicios, donde actividades de
tipo administrativo y de gestión permitieron modificar la forma en que se organizaba
el trabajo, lo que de manera correspondiente trajo consigo cambios en la manera
como se observaba la producción artesanal. El pós-fordismo, como expresión de
los cambios productivos en que se fundamentaba el capital, principalmente de un
proceso de acumulación del capitalismo industrial a una sociedad de dominio del
capital financiero permitía la descentralización y desterritorialización de la
producción en los países industrializados (CUNNINGHAM, 2002), obteniendo
mayor ganancia en la explotación laboral en diferentes países subdesarrollados. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. vista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las g
p
Disponível em: http://seer.ufrgs.br/gearte Disponível em: http://seer.ufrgs.br/gearte j
transformaciones de la actividad sociocultural. ,
j
transformaciones de la actividad sociocultural. sponível em: http://seer.ufrgs.br/gearte La industria cultural y la Artesanía Sin el desarrollo del diseño industrial
aplicado a la producción artesanal no podría comprenderse la situación actual de
la artesanía, pues es en la intervención de profesionales técnicos calificados como
poco a poco se desarrolla un mercado de artesanías cada vez más especializado
(QUIÑONES; BARRERA, 2006), donde la correspondencia entre las pequeñas
empresas y emprendimientos urbanos y rurales van a obtener mayor
representatividad en el mercado nacional e internacional. producción propiamente dicha, ya no podría dependerse del consumo de objetos
tradicionales y folclóricos, sino que debería llevarse a cabo un desarrollo específico
técnico y tecnológico de la producción que ofreciera un mejoramiento en los
productos para competir de manera más rentable en el mercado. En este sentido
aparece el diseño, y el diseño artesanal, como eje principal de configuración de un
nuevo proceso de la actividad artesanal. Sin el desarrollo del diseño industrial
aplicado a la producción artesanal no podría comprenderse la situación actual de
la artesanía, pues es en la intervención de profesionales técnicos calificados como
poco a poco se desarrolla un mercado de artesanías cada vez más especializado
(QUIÑONES; BARRERA, 2006), donde la correspondencia entre las pequeñas
empresas y emprendimientos urbanos y rurales van a obtener mayor
representatividad en el mercado nacional e internacional. producción propiamente dicha, ya no podría dependerse del consumo de objetos
tradicionales y folclóricos, sino que debería llevarse a cabo un desarrollo específico
técnico y tecnológico de la producción que ofreciera un mejoramiento en los
productos para competir de manera más rentable en el mercado. En este sentido
aparece el diseño, y el diseño artesanal, como eje principal de configuración de un
nuevo proceso de la actividad artesanal. Sin el desarrollo del diseño industrial
aplicado a la producción artesanal no podría comprenderse la situación actual de
la artesanía, pues es en la intervención de profesionales técnicos calificados como
poco a poco se desarrolla un mercado de artesanías cada vez más especializado
(QUIÑONES; BARRERA, 2006), donde la correspondencia entre las pequeñas
empresas y emprendimientos urbanos y rurales van a obtener mayor
representatividad en el mercado nacional e internacional. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte vista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. g
p
Disponível em: http://seer.ufrgs.br/gearte La industria cultural y la Artesanía Industrias creativas y actividad artística Industrias creativas y actividad artística Si por un lado el fordismo representaba el modo de desarrollo de la sociedad
industrial, por otro lado la crisis de los setenta y la reestructuración productiva que
trajo consigo disminuyó la concentración de trabajadores en la grande industria, y
por el contrario, existió un crecimiento del sector servicios, donde actividades de
tipo administrativo y de gestión permitieron modificar la forma en que se organizaba
el trabajo, lo que de manera correspondiente trajo consigo cambios en la manera
como se observaba la producción artesanal. El pós-fordismo, como expresión de
los cambios productivos en que se fundamentaba el capital, principalmente de un
proceso de acumulación del capitalismo industrial a una sociedad de dominio del
capital financiero permitía la descentralización y desterritorialización de la
producción en los países industrializados (CUNNINGHAM, 2002), obteniendo
mayor ganancia en la explotación laboral en diferentes países subdesarrollados. Esto trajo consigo que la disminución de un trabajo formal en la sociedad
industrial, y un crecimiento en la población laboral informal que tenía consigo el
peso de una transformación productiva sin acceso directo a sus beneficios
productivos. Con el desarrollo de políticas neoliberales desde los años setenta y
ochenta, se concibe un mecanismo de individualización de la clase obrera,
fragmentando las condiciones de reconocimiento en la promoción de competencia
para el mercado, creando un discurso de éxito para los mejores, como esfuerzo
voluntarista del empresario. Cada uno sería un empresario de sí, pues el recurso
principal de explotación que es el trabajo sería ofertado como capital, capital
humano, para obtener beneficios productivos en el mercado. El micro empresario
transforma al pequeño propietario de la clase media tradicional en un emprendedor
capitalista a pequeña escala. La artesanía como actividad cultural no corresponderá a esa protección
como patrimonio de lo local desde el Estado, sino que por el contrario, en un
proyecto neoliberal, tendrá que afrontar las transformaciones productivas desde la 473 producción propiamente dicha, ya no podría dependerse del consumo de objetos
tradicionales y folclóricos, sino que debería llevarse a cabo un desarrollo específico
técnico y tecnológico de la producción que ofreciera un mejoramiento en los
productos para competir de manera más rentable en el mercado. En este sentido
aparece el diseño, y el diseño artesanal, como eje principal de configuración de un
nuevo proceso de la actividad artesanal. La industria cultural y la Artesanía Así, la participación de profesionales del diseño y del arte van a crear
trayectorias de mercado de productos cada vez más diferenciados para una
proyección de lujo y arte (AVELINO, 2007), donde las correspondencias entre los
productos ya no van a desarrollarse hacía lo tradicional, hacia la memoria como un
recurso patrimonial que debe protegerse y mantenerse, en esa ilusión mítica y
estática de la artesanía que tanto impacto a principios del siglo XX, sino que debía
individualizarse la producción, enseñar a producir con técnicas y valores estéticos
y artísticos cada vez más autónomos, donde el artesano no se debía a su oficio a
la manera tradicional, sino que los artesanos deberían producir distinciones como
marca, es decir su nombre, su local, o su unidad productiva como signo distintivo
que corresponde a la técnica, a la obra y al productor artesano-artista, en un
régimen de identificación y representación que puede llegar a validarse en la
legitimidad del campo artístico. En este espacio de transición del fordismo al pós-fordismo, las mujeres, los
jóvenes y los adultos mayores como población excluida directamente del mercado
laboral formal, atienden a la participación de sus actividades auxiliares en micro-
emprendimientos de artesanía, como trabajadoras autónomas que pueden llegar 474 a trasladarse en ocupaciones transitorias entre la profesión, las artesanía o
microempresa artesanal y el trabajo de cuidado (FIGUEIREDO, 2015). Estas
manifestaciones promedian los ejemplos de la población que por algún motivo
recurre a actividades de trabajo auxiliar o complementario, lo que incentiva un
mercado de bienes de producción cada vez más especializado en las ciudades,
que consiste en materia prima de industria nacionales e internacionales, lo que de
alguna manera termina por subordinar directa y formalmente el trabajo de la
artesanía al desarrollo capitalista. Por ello, el crecimiento de la producción
académica en el área de administración y diseño ha sido constante conforme se
requiere intervenir en el trabajo artesanal para una mayor productividad. a trasladarse en ocupaciones transitorias entre la profesión, las artesanía o
microempresa artesanal y el trabajo de cuidado (FIGUEIREDO, 2015). Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. g
p
Disponível em: http://seer.ufrgs.br/gearte Disponível em: http://seer.ufrgs.br/gearte La industria cultural y la Artesanía Estas
manifestaciones promedian los ejemplos de la población que por algún motivo
recurre a actividades de trabajo auxiliar o complementario, lo que incentiva un
mercado de bienes de producción cada vez más especializado en las ciudades,
que consiste en materia prima de industria nacionales e internacionales, lo que de
alguna manera termina por subordinar directa y formalmente el trabajo de la
artesanía al desarrollo capitalista. Por ello, el crecimiento de la producción
académica en el área de administración y diseño ha sido constante conforme se
requiere intervenir en el trabajo artesanal para una mayor productividad. De manera correspondiente, si el modo de desarrollo fordista que considera
condiciones de producción de la gran industria, en donde las industrias culturales
eran subordinadas por mecanismos de una sociedad de consumo en las
condiciones que el capitalismo industrial dominante permitía en la estructuración
de un mercado nacional. El correlato del proceso pós-fordista de la
reestructuración productiva va a ser la clasificación y organización de las industrias
creativas, pues no va a ser lo “cultural”, entendido esto como valores simbólicos
destinados al mercado de masas, sino la creatividad, entendida como el valor del
productor en sí que se ofrece al mercado desde sus habilidades y condiciones
simbólicas y corporales, lo que termina por dar acento al proceso de transformación
neoliberal que va más allá de la simple reflexión de la palabra cultural y de la
palabra creatividad. En este sentido, el paso de las industrias culturales a las
industrias creativas como modo de desarrollo no es una etiqueta y sí un mecanismo
de dominación de la producción y del productor en sí. Las industrias creativas que se estructuran como política de organización
laboral en Inglaterra en los años noventa, y que toman fuerza en los países
desarrollados en la primera década del siglo XXI (UNDP, 2013), hasta convertirse
en política de clasificación mundial de la producción cultural, consideran el trabajo
artesanal como parte de ese gran conglomerado de actividades creativas que 475 permiten evaluar un desarrollo de las habilidades de productores artísticos y
culturales, que van desde las actividades de mayor desarrollo tecnológico y
científico, como la producción cinematográfica y el desarrollo de tecnologías 4.0
como aplicaciones y formatos virtuales de comunicación, exposición y
comercialización, hasta actividades de carácter más técnico como la artesanía, con
avances de diseño en aplicación de materiales y transformación productiva
material. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. g
p
Disponível em: http://seer.ufrgs.br/gearte vista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Disponível em: http://seer.ufrgs.br/gearte La industria cultural y la Artesanía En ese
sentido la manera de proteger la actividad cultural es con la protección de derechos
de producción desde los territorios, como formas de mantener una autonomía en
la producción que salvaguarde la competencia en el mercado mundial. Sin
embargo este tipo de desarrollo no escapa de la lógica de la acumulación del
capital, puesto que la productividad no se mide propiamente en la transformación
técnica y tecnológica de las unidades productivas, sino en la renta monopolista que
busca ganancias indirectas en el valor agregado que obtienen los productos en el
mercado internacional. denominaciones de origen (JURADO; AGUILAR; JUAJIBIOY, 2014). En ese
sentido la manera de proteger la actividad cultural es con la protección de derechos
de producción desde los territorios, como formas de mantener una autonomía en
la producción que salvaguarde la competencia en el mercado mundial. Sin
embargo este tipo de desarrollo no escapa de la lógica de la acumulación del
capital, puesto que la productividad no se mide propiamente en la transformación
técnica y tecnológica de las unidades productivas, sino en la renta monopolista que
busca ganancias indirectas en el valor agregado que obtienen los productos en el
mercado internacional. Así, tanto en la subordinación directa en la transformación técnica de los
productos para un consumo de lujo, como de la subordinación indirecta en la
territorialización de la producción mediante la renta monopolística, la actividad
artesanal constituye hoy un escenario de debate entre una gran cantidad de
personas que transitan entre las posibilidades de transformación en el mercado
mundial, donde la precarización y la exclusión de los trabajos formales obliga a una
participación cada vez menos valorizada en lo general, pues aún en el caso que
exista un proceso de integración a la valorización estética como forma de
legitimidad simbólica y material de las obras en el campo artístico, que se observa
en el desarrollo cada vez más autónomo y de auto-reconocimiento de los artesanos
como artistas, esto solo corresponde a un pequeño grupo de casos exitosos en la
creciente población de trabajadores artesanales, artesanos y artesanas que aun
trabajando en las condiciones desiguales de su local continúan con la actividad. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte La industria cultural y la Artesanía Este gran abanico de actividades laborales que constituyen las industrias
creativas, da paso a un debate sobre el trabajo creativo dentro del proceso
neoliberal de la globalización. El desarrollo de actividades culturales y creativas constituyen un objeto de
estudio contemporáneo, en donde se busca poner en contexto la producción
cultural en función de aquellos artesanos artistas y diseñadores que transformen
lo tradicional en un medio de desarrollo estético y artístico que participe de
exposiciones y mercados especializados en el consumo de lujo (FREITAG, 2014). En ese sentido, existe un proceso de homogeneización global del trabajo artesanal
que corresponde con una transformación empresarial y artística de trabajadores
autónomos que participan de un mercado global de exposición y reconocimiento. Los Estados participan de la promoción de la actividad artesanal en la forma de
desarrollo artístico y competitivo mediante concursos y premios a los mejores
productores, pero que en relación a políticas de fondo para el total de la población
de artesanas y artesanos ha sido más bien débil, por el costo de asumir
constantemente una actividad que transita entre la informalidad, la marginalidad y
el trabajo ocasional (SCRASE, 2010). Por último, es posible identificar mecanismos de protección del trabajo
artesanal en lo cultural desde un ejercicio de territorialización de la marca, es decir,
mientras que en las zonas urbanas se obliga a los productores a obtener un
reconocimiento individual como trabajadores autónomos mediantes las marcas o
signos distintivos, en las zonas rurales donde la producción mantiene los saberes
comunitarios se territorializa la marca con las indicaciones geográficas o las 476 denominaciones de origen (JURADO; AGUILAR; JUAJIBIOY, 2014). En ese
sentido la manera de proteger la actividad cultural es con la protección de derechos
de producción desde los territorios, como formas de mantener una autonomía en
la producción que salvaguarde la competencia en el mercado mundial. Sin
embargo este tipo de desarrollo no escapa de la lógica de la acumulación del
capital, puesto que la productividad no se mide propiamente en la transformación
técnica y tecnológica de las unidades productivas, sino en la renta monopolista que
busca ganancias indirectas en el valor agregado que obtienen los productos en el
mercado internacional. denominaciones de origen (JURADO; AGUILAR; JUAJIBIOY, 2014). Disponível em: http://seer.ufrgs.br/gearte Reflexiones sobre las categorías en lo artesanal Al tener en claro que solo desde las condiciones de la totalidad concreta del
modo de producción capitalista se pueden observar las diferentes manifestaciones
de lo artesanal, es posible llegar a algunas reflexiones sobre cómo crear categorías
correspondientes a la actividad artesanal. Esto se realiza como crítica a las
definiciones ligeras que se han realizado desde la conceptualización formal e ideal 477 de lo que debería ser la actividad artesanal, empezando por la reflexión
transhistórica de Richard Sennet (2008), que contempla a lo artesanal como un
trabajo “bien hecho”, esta vaguedad de la definición recuerda la crítica de
Hobsbawm a Foucault quien decía de él que “rebuscaba en la historia para pescar
ilustraciones al servicio de una narrativa preconstruida” (HOBSBAWM, 2016, p. 50), esto no implica que el ensayo sobre el artesano pierda importancia desde su
filosofía pragmática en correspondencia a su “sistema” filosófico sobre el saber
hacer, saber ser y saber-saber. Sin embargo, para él la artesanía solo sería un
ejemplo más de ese hacer bien hecho, lo que elimina cualquier proceso real de
comprensión e intervención política. de lo que debería ser la actividad artesanal, empezando por la reflexión
transhistórica de Richard Sennet (2008), que contempla a lo artesanal como un
trabajo “bien hecho”, esta vaguedad de la definición recuerda la crítica de
Hobsbawm a Foucault quien decía de él que “rebuscaba en la historia para pescar
ilustraciones al servicio de una narrativa preconstruida” (HOBSBAWM, 2016, p. 50), esto no implica que el ensayo sobre el artesano pierda importancia desde su
filosofía pragmática en correspondencia a su “sistema” filosófico sobre el saber
hacer, saber ser y saber-saber. Sin embargo, para él la artesanía solo sería un
ejemplo más de ese hacer bien hecho, lo que elimina cualquier proceso real de
comprensión e intervención política. Por otro lado, también se hace una crítica a las reflexiones latinoamericanas
que busca poner límites desde los conceptos formales de lo que es o no es
artesanía. Aún comprendiendo la necesidad de implementación de políticas
públicas de la actividad artesanal, este esfuerzo ha perdido el horizonte
promoviendo debates inacabados sobre la mejor forma de conceptualizar la
actividad artesanal, partiendo siempre de una serie de generalizaciones que no
constituyen un horizonte confiable de clasificación, pues en su mayoría solo
reproduce lugares comunes de la artesanía como cultura naturalizada de la
población indígena, afroamericana o “contemporánea”. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
t
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j
transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte Reflexiones sobre las categorías en lo artesanal La artesanía para estos
documentos
entonces
es
indígena,
artesanía
tradicional,
artesanía
contemporánea, neo-artesanía, industrianato, etc. Todas estas clasificaciones
parten de esquemas conceptuales abstractos y ofrecen un resultado didáctico pero
carente de crítica histórica. Teniendo en cuenta esto, la propuesta de categorías parte de una reflexión
del trabajo concreto que constituye el mecanismo de interpretación general de la
actividad humana y que permite entender el proceso de subordinación frente a un
sistema histórico dominante de producción material. Entender que solo mediante
el desarrollo de una división el trabajo desde el modo dominante de producción se 478 puede definir de manera más dinámica lo artesanal. A continuación se explica la
actividad artesanal en relación a una división social, técnica y simbólica del trabajo. puede definir de manera más dinámica lo artesanal. A continuación se explica la
actividad artesanal en relación a una división social, técnica y simbólica del trabajo. puede definir de manera más dinámica lo artesanal. A continuación se explica la
actividad artesanal en relación a una división social, técnica y simbólica del trabajo. El trabajo artesanal se entiende como una categoría histórica y geográfica
que representa una dimensión de la división del trabajo en una sociedad específica,
y que constituye un medio de reconocimiento técnico, simbólico y social de
organización de la producción, que como tal define su condición diferencial en
relación a los desarrollos técnicos y tecnológicos en otras áreas de producción
industrial y de servicios. En ese sentido representa formas de trabajo de la
producción técnica básica o primaria, dada principalmente por la determinación
negativa que se deriva de los avances tecnológicos de una sociedad. Por ello,
hablar de trabajo artesanal puede ser relativo al estado de la producción técnica y
tecnológica en un periodo histórico, y no puede pensarse como una categoría
natural del saber-hacer humano. La actividad puede pensarse desde la división técnica del trabajo artesanal
de una forma histórica de producción donde el trabajador y su producto comparten
una serie de características técnicas simples o básicas, en donde se considera la
habilidad individual y la herramienta -o maquinaria simple- como el apoyo principal
en la producción, este tipo de organización depende del reconocimiento del oficio
y de su tamaño, pues el ejercicio de la actividad debe mantener las proporciones
ajustadas a un número que permita que el trabajador pueda encargarse de la
mayor parte del proceso de producción. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte sponível em: http://seer.ufrgs.br/gearte g
p
Disponível em: http://seer.ufrgs.br/gearte ,
j
transformaciones de la actividad sociocultural. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. Reflexiones sobre las categorías en lo artesanal En esto consiste el reconocimiento de
actividades destinadas a la construcción, los alimentos, o la fabricación de
productos utilitarios a base de recursos naturales como el cuero, la madera, el
metal, entre otros. Esta definición del trabajo artesanal tiene mayor relación con la
clasificación del a Organización Internacional del Trabajo, en dónde se presenta la
técnica, la habilidad y la profesionalización como indicadores de reconocimiento. La división simbólica del trabajo artesanal constituye un proceso de
reconocimiento cultural, en donde se encuentra en relación símbolos, textos, 479 contextos y significados en la producción, allí aparece la división principal de
subjetividades entre la artesanía y el artesano como agente cultural. La artesanía no
constituye sólo la división técnica, que presupone el trabajo artesanal, sino que
además debe estar constituido por una serie de contenidos institucionalizados en la
memoria y las tradiciones que correspondan con la identificación de valores
históricos y culturales, lo que define a cabalidad la importancia del objeto artesanal
como producto de la cultura, como parte del patrimonio de un lugar o de una nación. Ser artesano o artesana depende de la producción de dicho objeto cultural, donde
se construye la narración del valor mediante su legitimidad en el campo social que
lo constituye. Por eso, el artesano no depende únicamente de la técnica. Así, un
trabajador artesanal como el albañil no va a ser fácilmente reconocido como
artesano a menos que constituya junto con él una artesanía que corresponda
simbólicamente con la legitimidad del campo como marco de representación válido. contextos y significados en la producción, allí aparece la división principal de
subjetividades entre la artesanía y el artesano como agente cultural. La artesanía no
constituye sólo la división técnica, que presupone el trabajo artesanal, sino que
además debe estar constituido por una serie de contenidos institucionalizados en la
memoria y las tradiciones que correspondan con la identificación de valores
históricos y culturales, lo que define a cabalidad la importancia del objeto artesanal
como producto de la cultura, como parte del patrimonio de un lugar o de una nación. Ser artesano o artesana depende de la producción de dicho objeto cultural, donde
se construye la narración del valor mediante su legitimidad en el campo social que
lo constituye. Por eso, el artesano no depende únicamente de la técnica. g
p
Disponível em: http://seer.ufrgs.br/gearte Disponível em: http://seer.ufrgs.br/gearte Reflexiones sobre las categorías en lo artesanal Así, un
trabajador artesanal como el albañil no va a ser fácilmente reconocido como
artesano a menos que constituya junto con él una artesanía que corresponda
simbólicamente con la legitimidad del campo como marco de representación válido. Por último, la división social del trabajo artesanal exige la diferenciación de
las posiciones de clase entre los productores, en ese sentido no todos los
artesanos, trabajadores artesanales o productores en general pueden
corresponder a posiciones de clase homogéneas Para ello, los recursos de
distinción sobre el modo de producción dominante dan claridad a los procesos de
distinción de clase. Por un lado se presentan los pequeños propietarios,
posicionados en la clase media tradicional de productores que se reconocen en la
consolidación de micro y pequeños emprendimientos, y que pueden constituir tanto
los empresarios de oficios artesanales a pequeña escala, como productores
artesanales de la artesanía que compiten en mercados para el posicionamiento de
la marca y de su producto. Por otro lado se encuentran los trabajadores asalariados, que como
trabajadores artesanales pueden depender de pequeñas empresas, siendo
contratados en subordinación a los pequeños propietarios o empresarios, esto
corresponde con la división de los trabajadores formalmente integrados a unidades
productivas mediante la venta de su fuerza de trabajo (MAZAUD, 2009). Estos 480 casos de asalariamiento dependen principalmente de unidades productivas
urbanas, y donde la clase de pequeños propietarios es más fuerte y reconocida en
el mercado nacional. Por último las trabajadoras y trabajadores por cuenta propia,
como agentes de producción que no se reconocen dentro de la clase media, sino
que son trabajadores que transitan desde la producción precarizada hasta la
formalizada en las zonas rurales y periurbanas. En otras palabras, es la clase-que-
vive-del-trabajo y que corresponde con la población en situación más vulnerable
para encontrar una continuidad y sostenibilidad en la producción artesanal. casos de asalariamiento dependen principalmente de unidades productivas
urbanas, y donde la clase de pequeños propietarios es más fuerte y reconocida en
el mercado nacional. Por último las trabajadoras y trabajadores por cuenta propia,
como agentes de producción que no se reconocen dentro de la clase media, sino
que son trabajadores que transitan desde la producción precarizada hasta la
formalizada en las zonas rurales y periurbanas. En otras palabras, es la clase-que-
vive-del-trabajo y que corresponde con la población en situación más vulnerable
para encontrar una continuidad y sostenibilidad en la producción artesanal. Reflexiones sobre las categorías en lo artesanal Desde la división del trabajo sobre el desarrollo del capital, como forma
dominante de producción, se puede obtener un ejercicio claro de las diferentes
formas en que aparecen los trabajadores artesanales, en especial, entendiendo
que existen diversas formas de clasificación que pueden coincidir en algunos
casos, mientras que en otros son totalmente contradictorios. Esta dificultad no se
resuelve únicamente con la interdisciplinariedad del análisis, sino con el desarrollo
de una comprensión histórica concreta del proceso, que sea crítica en la reflexión
de las subjetividades, de los discursos y del contenido ideológico que corresponde
con la reproducción del sistema capitalista. De esta forma se pueden reconocer los
aspectos de movilización que sean adecuados para la transformación política y
económica de los trabajadores artesanales. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. vista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. Disponível em: http://seer.ufrgs.br/gearte EGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las Disponível em: http://seer.ufrgs.br/gearte VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural.
481
Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. ,
j
transformaciones de la actividad sociocultural. Reflexiones políticas La organización internacional del trabajo debe constituir un escenario de
justicia y libertad para el desarrollo de las habilidades creativas y humanas, siendo
esto lo que Marx podría entender como trabajo creativo fuera de las formas de
dominación del capital (MARX, 2011). En ese sentido, cuando se expone la
relación entre las habilidades autónomas de producción, no es posible identificar
el peso culturalista que ha cargado consigo la clase trabajadora de artesanos, y
que por el contrario ha sido una camisa de fuerza para organizar políticamente su
protección y salvaguarda de la vida en comunidad. Salir de la subordinación directa 481 o indirecta del capital exige un reconocimiento crítico de la institucionalización de o indirecta del capital exige un reconocimiento crítico de la institucionalización de
la artesanía como campo u objeto de conocimiento. No es posible reincidir en la
fragmentación del trabajo si se consideran únicamente los valores culturales
locales como eje de la organización política de los individuos. o indirecta del capital exige un reconocimiento crítico de la institucionalización de
la artesanía como campo u objeto de conocimiento. No es posible reincidir en la
fragmentación del trabajo si se consideran únicamente los valores culturales
locales como eje de la organización política de los individuos. o indirecta del capital exige un reconocimiento crítico de la institucionalización de
la artesanía como campo u objeto de conocimiento. No es posible reincidir en la
fragmentación del trabajo si se consideran únicamente los valores culturales
locales como eje de la organización política de los individuos. En ese sentido debe existir una reflexión amplia de las posibilidades de
organización de los trabajadores desde sus condiciones de resistencia y
colectividad en respuestas amplias e intersectoriales de organización para
alcanzar un control político de sus condiciones de producción tanto desde el Estado
como desde las bases sociales. Uno de los problemas principales es no reconocer
este proceso amplio de participación de los trabajadores en definir políticas
públicas sectoriales que se mantienen al margen de cambios estructurales
significativos en la población, y que por el contrario, en regímenes de democracia
subordinada al mercado, terminan por validar prácticas de protección y promoción
de las mercancías por encima de la población vulnerable. vista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. j
nsformaciones de la actividad sociocultural. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las g
p
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transformaciones de la actividad sociocultural. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Disponível em: http://seer.ufrgs.br/gearte Conclusiones La comprensión actual de la artesanía tiene que buscar superar la
hegemonía cultural que pretende subordinar la expresión del saber hacer
autónomo y comunitario a la acumulación del capital en escala internacional. La
industrialización de la creatividad como mecanismo de transformación y
clasificación de la producción actual que busca homogeneizar la diversidad local
de los productores culturales debe tener un contrapeso en la reflexión crítica sobre
la forma de intervenir políticamente para generar un bienestar a los individuos más
allá de su dependencia a la producción de mercancías con valor cultural local. En
ese sentido, comprender el desarrollo y génesis de la actividad artesanal requiere
de su contextualización en el desarrollo desigual del capital. Por otro lado, aunque
la producción académica sobre lo artesanal tenga un aumento significativo en el
presente siglo, es necesario reconocer que las herramientas conceptuales sobre
el trabajo artesanal tienen límites específicos en la reproducción ideológica
dominante del capital de forma directa o indirecta, como tal toda intervención es
una intervención política, y es desde allí como debe optarse por ser críticos con el
desarrollo del trabajo artesanal. Reflexiones políticas De esta manera existe una doble relación entre el reconocimiento y
fortalecimiento de la producción social alternativa al capitalismo, lo que se ha
constituido desde los procesos de organización social y solidaria de los artesanos
y artesanas, teniendo su auge principal en la organización sindicalizada y
cooperativista de los trabajadores artesanales, llegando a reivindicar sus derechos
como productores culturales. Sin embargo otra relación para generar esa
integración a los procesos alternativos de producción debe consistir en el
reconocimiento de la actividad artesanal como parte de una división social, técnica
y simbólica del trabajo de forma internacional, lo que corresponde a un ejercicio de
organización e identificación más allá de los límites de la profesión o del oficio, y
más allá de las fronteras nacionales, pues es en la autonomía que se deriva de la
afirmación de los artesanos y artesanas como trabajadores como podría
conseguirse un proceso de integración de mayor fuerza en la protección y
promoción de su bienestar. 482 Conclusiones Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. CAMPOS, A. Racialización, racialismo y racismo un discernimiento necesario. Universidad de La
Habana,
273,
p.
184-199.
2012.
Disponible
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eiro, v. 5, n. 4, 2007. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
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https://webs.ucm.es/info/bas/es/marx-eng/52rca/index.htm. Acceso en: 19 enero 2020. FIGUEIREDO, M., et al. Empreendedorismo feminino no artesanato: Uma análise crítica do caso
das rendeiras dos Morros da Mariana. RECADM, v. 14, n. 2, p. 110-123. 2015. FREITAG, V. Entre arte y artesanía: elementos para pensar el oficio artesanal en la actualidad. El
Artista, v. 11, p. 129-143. 2014. 483 HOBSBAWM, E. Pierre Bourdieu, sociología crítica e historia social, New Left Review, v. 101, p. 41-52. 2016. Disponible en: https://newleftreview.es/issues/101/articles/eric-hobsbawm-pierre- HOBSBAWM, E. Pierre Bourdieu, sociología crítica e historia social, New Left Review, v. 101, p. 41-52. 2016. Disponible en: https://newleftreview.es/issues/101/articles/eric-hobsbawm-pierre-
bourdieu.pdf. Acceso en: 4 enero 2020. HOBSBAWM, E. Pierre Bourdieu, sociología crítica e historia social, New Left Review, v. 101, p. 41-52. 2016. Disponible en: https://newleftreview.es/issues/101/articles/eric-hobsbawm-pierre-
bourdieu.pdf. Acceso en: 4 enero 2020. JURADO, G. S. B., AGUILAR, A. C. Q., & JUAJIBIOY, J. C. J. Riesgos y tensiones de las marcas
colectivas
y
denominaciones
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origen
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las
creaciones
colectivas
artesanales
indígenas. Apuntes. Revista de estudios sobre patrimonio cultural, v. 27, n. 1, 2014. KELLER, P. Trabalho artesanal e cooperado: realidades, mudanças e desafios. Sociedade e
Cultura, Goiânia, v. 14, n. 1, p. 29-40, 2011. LOAIZA, G. Sociabilidad, religión y política en la definición de la nación: Colombia 1820-1886. Bogotá: Colección Bicentenario Universidad externado de Colombia, 2011. MARX, K. Grundrisse: Manuscritos econômicos de 1857-1858. São Paulo: Boitempo, 2011. MARX, K. Teorías sobre la plusvalía I, Tomo IV de El Capital. Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Recebido em 31 de maio de 2019
Aceito em 28 de julho de 2020 VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural.
Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020.
Disponível em: http://seer.ufrgs.br/gearte VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. Daniel Roberto Vega Torres Possui graduação em Sociología — Universidad Nacional de Colombia — Bogotá (2010) e
mestrado em Maestría en Historia — Universidad Pedagógica y Tecnológica de Colombia (2014). Doutor em Ciências Sociais Aplicadas da Universidade Estadual de Ponta Grossa e docente
investigador — Fundación Universitaria Juan de Castellanos. Tem experiência na área de
Sociologia da cultura, pesquisa em Educação. VEGA TORRES, Daniel Roberto. Trabajo artesanal, artesanía e industrias creativas: reflexiones en torno a las
transformaciones de la actividad sociocultural. 484
Revista GEARTE, Porto Alegre, v. 7, n. 3, p. 461-484, set./dez. 2020. Disponível em: http://seer.ufrgs.br/gearte
ORCID: https://orcid.org/0000-0001-9951-157X
E-mail: dvega@jdc.edu.co
Currículo: http://lattes.cnpq.br/8158197997704522
Recebido em 31 de maio de 2019
Aceito em 28 de julho de 2020 484
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A novel approach to visualization of the right ventricular outflow tract
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European Journal of Translational and Clinical Medicine
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Ewa Nowicka
RESEARCH ARTICLE
A novel approach to visualization of the
right ventricular outflow tract
EUROPEAN JOURNAL OF TRANSLATIONAL
AND CLINICAL MEDICINE 2018;1(2):36-40
Agata Ewa Kaczyńska , Adam Kosiński , Rafał Kamiński ,
Miłosz Andrzej Zajączkowski , Marta Gleinert-Rożek ,
Department of Clinical Anatomy, Medical University of Gdańsk, Poland
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M Ewa Nowicka
RESEARCH ARTICLE
A novel approach to visualization of the
right ventricular outflow tract
EUROPEAN JOURNAL OF TRANSLATIONAL
AND CLINICAL MEDICINE 2018;1(2):36-40
Agata Ewa Kaczyńska , Adam Kosiński , Rafał Kamiński ,
Miłosz Andrzej Zajączkowski , Marta Gleinert-Rożek ,
Department of Clinical Anatomy, Medical University of Gdańsk, Poland
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AND CLINICAL MEDICINE 2018;1(2):36-40 RESEARCH ARTICLE Citation Kaczyńska AE, Kosiński A, Kamiński R, Zajączkowski MA, Nowicka E, Gleinert-Rożek M. A novel approach to visu-
alization of the right ventricular outflow tract. Eur J Transl Clin Med. 2018;1(2):36-40. DOI: 10.31373/ejtcm/100603 Kaczyńska AE, Kosiński A, Kamiński R, Zajączkowski MA, Nowicka E, Gleinert-Rożek M. A novel approach to visu-
alization of the right ventricular outflow tract. Eur J Transl Clin Med. 2018;1(2):36-40. DOI: 10.31373/ejtcm/100603 Abstract Introduction: Nowadays, heart is one of the most demanding organs for imaging procedures. This is related to
its irregular shape and complex internal structure. Increased demand for imaging complex cardiac structures has
resulted in the development of novel 3D modeling techniques. Not only did the methods of imaging the organs
of the living patients developed in recent years, but also new methods of post-mortem analysis. Acquired 3D
models have a number of applications, both clinical and educational.f Detailed knowledge of the morphology of right ventricular outflow tract (RVOT) is extremely important in terms
of cardio-invasive therapeutic procedures. Its significance was noticed during the exploration of the optimal pa-
cing sites in the area of right ventricle. What is more, accurate analysis of the RVOT morphology and spatial struc-
ture is also the basis for the treatment of ventricular arrhythmias which foci are located within the outflow tract. The aim of this study was to elaborate the most accurate technique of preparing interior models of the right ven-
tricle and digitizing them to the 3D form. For this purpose we used a silicone molding of the heart cavities with
digital photogrammetry.f ords: 3D models / cardiac imaging / silicone molding / photogrammetry / right ventricular outflow tract A novel approach to visualization of the
right ventricular outflow tract Ewa Nowicka
Agata Ewa Kaczyńska , Adam Kosiński , Rafał Kamiński ,
Miłosz Andrzej Zajączkowski , Marta Gleinert-Rożek , Introduction the increased interest in these techniques, in particu-
lar in connection with cardiac visualization. Its imaging
poses a great challenge, e.g. due to the unique func-
tioning of this organ, the diversity of dimensions and The progress of technologies that enable the ima-
ging of complex anatomical structures has resulted in Corresponding author:
Agata Ewa Kaczyńska, Department of Clinical Anatomy, Medical University of Gdansk, Poland
e-mail: agata.kaczynska@gumed.edu.pl
No external funds. Available online: www.ejtcm.gumed.edu.pl
Copyright ® Medical University of Gdańsk
This is Open Access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International. Material and methods shapes depending on the phase of the heart cycle. The
visualization of the inside of the heart is extremely de-
manding due to the complex internal structure of the
atria and the chambers [1-3]. 30 hearts fixed in a formalin solution were used for
the study. Hearts, without macroscopically visible pa-
thological changes, belonged to adults of both sexes.i The first stage of the research was to construct ri-
ght ventricle models using a silicone molding compo-
und (Xiameter 4250 S Green). The applied technique
has already been used in the case of modeling the
heart's appendages [10]. Before modeling, the hearts
were thoroughly rinsed with cold water to remove
blood clots from the inside. The silicone was poured
into the heart cavity from the apex of the right ventric-
le, because filling RVOT with silicone was more advan-
tageous when it was deposited inside the heart in a
gravitational manner, for instance, with the apex po-
inting upwards. For this purpose, the apex of the right
and left ventricles was cut to pour the plastic mass (Fi-
gure 1A). Next, the venous outlets of the right atrium
were sutured and a catheter balloon was inserted into
the pulmonary trunk above the level of the valve. The
catheter balloon was filled with air so as not to distort
the surface of the free wall of the RVOT and the pul-
monary trunk (Figure 1B, Figure 1C). Thus prepared
and dried hearts were placed in a glass vessel with the
atria directed towards its bottom and with the apex to-
wards the top (Figure 1D). After preparing the molding
mass by adding an activator, the syringe was filled with
silicone (Janet 100 ml), and then the mass was poured
into the heart. The tip of the syringe was placed in
the incised part of the right ventricle and the silicone
was poured inside. Occasionally, the wall of the right
ventricle and atrium was slightly pressed to remove
air bubbles from among the trabeculations (Figure 1E). When the right part of the heart was completely filled
with silicone, the heart was covered tightly with foil. The silicone-filled heart was left to harden for 24 hours. Material and methods After this time, the ventricular wall was incised along
its edge, starting with the incision of the apex of the ri-
ght ventricle to the base of the right appendage of the
heart, including the wall of the right atrium (Figure 1F). After making the incision, the model of the interior of
the heart was carefully removed and it was left to dry
for 24 hours (Figure 2A, Figure 2B). Despite obtaining a large amount of the informa-
tion about the internal structure of the heart, thanks
to the use of commonly used imaging techniques, inc-
luding magnetic resonance, computed tomography
and echocardiography [4-6], there is still little atten-
tion paid to the structure that is a part of the right ven-
tricle - the outflow tract.f The right ventricular outflow tract (RVOT) is the
space located between the supraventricular crest and
the pulmonary valve. Exploration of the exact mor-
phological architecture of this structure is extremely
important in terms of the cardio-invasive therapeutic
procedures. During the search for the optimal stimula-
tion sites from the right ventricle area, it was proved
that the most appropriate location for an electrode
placement is the RVOT region. It was shown that the
stimulation of this area is characterized by a fewer
complications compared to the often used stimulation
of the apex of the right ventricle [7-8]. Analysis of RVOT morphology is also extremely im-
portant in the context of treatment of the ventricular
arrhythmias, whose source is located within this area. Accurate assessment of the arrhythmia and the preci-
se location of its foci allows to increase the efficiency
of ablation and shorten its duration [9]. Knowledge of the RVOT morphology and its clo-
sest neighborhood allows proper optimization of both
the implantation of the stimulation system and the
ablation of arrhythmogenic foci in this area, as well
as limiting the risk of complications. For this purpo-
se, it is extremely important to examine the internal
structure of the right ventricle, taking into account the
thickness of its muscular wall, the location of vessels
and elements of the conductive system, as well as the
position of heart valves and cavities in close proximity. Acquiring such information may appear crucial, due to
the lack of precise literature data in the subject of the
morphological structure of RVOT and its surroundin-
gs. Corresponding author: 37 A novel approach to visualization... Material and methods Proposing an adequate anatomical nomenclature
of this area and determining the exact boundaries of
RVOT is a very important aspect of the research, which
would significantly improve the work of clinicians.i The obtained 30 silicone models of the interior of
the right heart, including the right atrium and the right
ventricle, were subjected to the virtual visualization
procedure to form the 3D model. A photogrammetry
technique was used which uses serial images of the
object in order to transform the physical model into
virtual form. A scale was applied to every model, which
allows for precise spatial measurements. The aim of this study was to develop an optimal
method of obtaining a model of the right ventricle
cavity and to transform its physical form into a virtual
form that would give the possibility to perform signifi-
cant measurements of the RVOT area. With the use of silicone modeling and photogram-
metry techniques, 30 RVOT models were obtained. 38 Eur J Transl Clin Med 2018;1(2):36-40 Exemplary models and their modifications, as well as
exemplary measurements that can be made on the
models, are shown in Figure 3A ‒ Figure 3E. a number of applications in many areas of medicine. Computer simulations give the opportunity to explore
the exact anatomy of the heart and help to understand
the structural defects of this organ. What is more, the
virtual heart model makes it possible to analyze some
physiological aspects without carrying out complica-
ted in vivo tests [11–13]. Discussion Intensive development of heart imaging tech-
niques, including spatial modeling, allows its more
accurate virtual reproduction. Such a model can be
subjected to various computer analyses, e.g. specific
measurements and simulations. In addition, the 3D
model that has been subjected to the appropriate
virtual processing can be successfully duplicated to
the physical form thanks to the use of the 3D printing
technology. Such created 3D heart models, both vir-
tual and those obtained using silicone molding, have According to some reports 3D models of the hearts
of patients with complex cardiac disease were con-
structed in order to plan the optimal surgical approach
[14]. Commonly used methods of cardiac imaging were
used for this purpose: computed tomography and ma-
gnetic resonance. Next, a 3D model was printed which
was based on the virtual heart model that accurately
reflected the patient's heart and defect. Such a model
helped during the search for the most advantageous
method of the resection of the aneurysm of the ven-
tricle and the tumor in the right ventricle, as well as
the reconstruction of the area after excision of the
lesion. What is more, the surgeon was also able to es-
timate the risk of complications of the planned surgery
and to choose the technique with the least risk of failure. Figure 1 A-F. Stages of RVOT modeling with silicone mass. A – incision of the ventricles apex, B,C – placement of a cathe-
ter in the pulmonary trunk, D – placement of the heart in the
glass vessel, E – pouring the molding mass, F – incision of the
ventricle and atrium in order to take out done model Figure 2 A, B. Finished model of the interior of right atrium and
right ventricle
A
B Figure 2 A, B. Finished model of the interior of right atrium and
right ventricle Figure 2 A, B. Finished model of the interior of right atrium and
right ventricle
A
B
A
B
C
D
E
F A
B
C
D
E
F A
B
C
D
E
F A B A B A A A D C C D B E
F E
F B F F E 39 A novel approach to visualization... Discussion Figure 3 A-E Figure 3 A-E gu e 3
A – 3D model of the right ventricle and right atrium, B – view of the right ventricle and RVOT, C – separated view of RVOT and pulmonary
valve, D – section through RVOT and exemplary measurement, E – exemplary measurement of RVOT
A
B
C
D
E
Measure
Select two points
Distance: 2.982 cm
Measure
Select two points
Distance: 2.468 cm A
Measure
Select tw B
D C B A E D E A – 3D model of the right ventricle and right atrium, B – view of the right ventricle and RVOT, C – separated view of RVOT and pulmonary
valve, D – section through RVOT and exemplary measurement, E – exemplary measurement of RVOT and those with defects. Grabherr et al. compared the
post-mortem imaging techniques, taking into account
their advantages and disadvantages [18]. The photo-
grammetry method was mentioned as one that does
not require a large financial investment, in particular if
other methods of post-mortem imaging of structures
are not available, for example, scanners that use
a beam of light. The authors also emphasized that in
addition to its low cost, the most important advanta-
ges of the photogrammetry are the simplicity of this
method and the availability of various computer so-
ftware that support this technique. In addition, a mo-
del made with the use of the photogrammetry retains
its natural color, which is extremely important in foren-
sic medicine. Modeling the heart with the use of 3D technology
is also widely used in the case of valve defects. In Vu-
kicevic et al., a mitral valve replacement was perfor-
med - specific for a given patient's case - using images
obtained by transesophageal 3D echocardiography
and computed tomography [15]. In Maragiannis et al.,
also on the basis of the images from computed tomo-
graphy, a copy of the patient’s severely stenotic aor-
tic valve was constructed [16]. It was also proven that
such models are not only a source of information abo-
ut the structure of the valve defect, but also retain the
functional properties of a given defect. Such models
are an ideal material for planning valve reconstruc-
tion and for designing the most beneficial tools for in
this type of surgery. Discussion This was also proven in the work
of Schievano et al., where on the basis of the images
obtained from magnetic resonance imaging, the RVOT
model and the pulmonary trunk were made to analy-
ze the possibility of percutaneous implantation of the
pulmonary valve [17].i The procedure of the photogrammetry and the
characteristics of its accuracy were described by Bob-
kowska et al. [19]. That study showed that the silico-
ne model of the right ventricular interior, which was
virtualized using photogrammetry and then scaled, is
suitable for analyzing the shape and size of the struc-
ture. The use of imaging and visualization techniques
has also become more important in these areas of me-
dical sciences which deal with biometric analysis in the
context of face modeling and its correct identification The wide range of applications of in vivo heart mo-
deling with the use of imaging methods is an extremely
important element of cardiac diagnostics. However,
possibility of mapping post-mortem structures should
be also mentioned, both in the case of normal hearts 40 Eur J Transl Clin Med 2018;1(2):36-40 The models of the interior of the heart provide
an ideal source of information on the morphologi-
cal structure and spatial architecture of the interior
of the ventricles and atria. The combination of both
techniques, molding the heart with silicone and pho-
togrammetry are the original approach to obtaining in-
formation about the internal structure of the right ven-
tricle, in particular the RVOT, which still attracted too
little attention. Due to existing inconsistencies in the
morphology of this area, boundaries and spatial struc-
ture, RVOT is a very interesting cardiac component
for anatomical research. The results of such studies
may be useful for many clinicians in their daily work. The use of 3D RVOT modeling will contribute to the
acquisition of additional information about the mor-
phology of this area and may be the basis for further
research related to, for example, determining the loca-
tion of other structures in the close vicinity of the RVOT. [20]. An accurate reflection of the dimensions and spa-
tial structure of a given object is undoubtedly a great
advantage of modern virtualization methods, thanks
to which they are widely used, particularly in medical
sciences. Conclusions Post-mortem heart modeling with the use of the
molding mass and then transforming a given model
into a virtual form combines methods that are prima-
rily characterized by low cost and ease of performing
a 3D heart model. The obtained virtual models are
widely used because they can be used for measure-
ment analysis and to modify a given spatial model. In
addition, the acquired heart model can be reproduced
using 3D printing. References 1. Kim MS, Hansgen AR, Wink O, Quaife RA, Carroll JD. Rapid prototyping: A new tool in understanding and treating structural heart dis-
ease. Circulation. 2008;117(18):2388-94. 2. Greil GF, Wolf I, Kuettner A, Fenchel M, Miller S, Martirosian P, et al. Stereolithographic reproduction of complex cardiac m
based on high spatial resolution imaging. Clin Res Cardiol. 2007;96(3):176-85. 3. Lopez-Perez A, Sebastian R, Ferrero JM. Three-dimensional cardiac computational modelling: methods, features and appl
omed Eng Online. 2015;14(1):1-31. 4. Machaj I, Janczewska E, Truszewski Z, Trzebicki J, Gaciong Z. Nieinwazyjne badania obrazujące w kardiologii. Med Ogólna i Nauk
o Zdrowiu. 2015;21(4):362-8. 4. Machaj I, Janczewska E, Truszewski Z, Trzebicki J, Gaciong Z. Nieinwazyjne badania obrazujące w kardiologii. Med Ogólna i Nauk
o Zdrowiu. 2015;21(4):362-8. 5. Greil GF, Beerbaum P, Razavi R, Miller O. Imaging the right ventricle. Heart. 2008;94(6):803-8. 5. Greil GF, Beerbaum P, Razavi R, Miller O. Imaging the right ventricle. Heart. 2008;94(6):803-8. 6. Sonecki P. Nowe techniki w kardiologii: echokardiografia 3D. Kardiol po Dyplomie. 2010;9(11):36-45. 7. Ho SY, Nihoyannopoulos P. Anatomy, echocardiography, and normal right ventricular dimensions. Heart. 2006;92(SUPPL. 1):2-14. 7. Ho SY, Nihoyannopoulos P. Anatomy, echocardiography, and normal right ventricular dimensions. Heart. 2006;92(SUPPL. 1):2-14. ii 8. Lieberman R, Grenz D, Mond HG, Gammage MD. Selective site pacing: defining and reaching the selected site. Pacing Clin Electrophysiol. 2004;27(6 Pt 2):883-6. 8. Lieberman R, Grenz D, Mond HG, Gammage MD. Selective site pacing: defining and reaching the selected site. Pacing Clin Electrophysiol. 2004;27(6 Pt 2):883-6. 9. Pytkowski M, Maciąg A, Sterliński M, Jankowska A. Lokalizacja ogniska arytmii u chorych z zaburzeniami rytmu serca pochodzącymi z
drogi odpływu prawej komory. Folia Cardiol Excerpta. 2006;1(4):211-20. t 10. Kamiński R, Kosiński A, Brala M, Piwko G, Lewicka E, Dąbrowska-Kugacka A, et al. Variability of the left atrial appendage in hum
PLoS One. 2015;10(11):1-9. 11. Trunk P, Mocnik J, Trobec R, Gersak B. 3D heart model for computer simulations in cardiac surgery. Comput Biol Med. 2007;37(10):1398-403. ii 11. Conclusions Trunk P, Mocnik J, Trobec R, Gersak B. 3D heart model for computer simulations in cardiac surgery. Comput Biol Med. 2007;37(10):1398-403. 12. Dankowski R, Baszko A, Sutherland M, Firek L, Kałmucki P, Wróblewska K, et al. 3D heart model printing for preparation of percutaneous
structural interventions: description of the technology and case report. Kardiol Pol. 2014;72(6):546-51. 12. Dankowski R, Baszko A, Sutherland M, Firek L, Kałmucki P, Wróblewska K, et al. 3D heart model printing for preparation of percutaneous
structural interventions: description of the technology and case report. Kardiol Pol. 2014;72(6):546-51. 13. Rao AS, Menon PG. Presurgical planning using image-based in silico anatomical and functional characterization of Tetralogy of Fallot
with associated anomalies. Interact Cardiovasc Thorac Surg. 2015;20(2):149-56. 13. Rao AS, Menon PG. Presurgical planning using image-based in silico anatomical and functional characterization of Tetralogy of Fallot
with associated anomalies. Interact Cardiovasc Thorac Surg. 2015;20(2):149-56. 14. Jacobs S, Grunert R, Mohr FW, Falk V. 3D-Imaging of cardiac structures using 3D heart models for planning in heart surgery: a prelimi-
nary study. Interact Cardiovasc Thorac Surg. 2008;7(1):6-9. 15. Vukicevic M, Mosadegh B, Min JK, Little SH. Cardiac 3D Printing and its Future Directions. J Am Coll Cardiol Img. 2017;10(2): tii
16. Maragiannis D, Jackson MS, Igo SR, Schutt RC, Connell P, Grande-Allen J, et al. Replicating Patient-Specific Severe Aortic Valve Stenosis
with Functional 3D Modeling. Circ Cardiovasc Imaging. 2015;8(10):e003626. 17. Schievano S, Migliavacca F, Coats L, Khambadkone S, Carminati M, Wilson N, et al. Percutaneous pulmonary valve implantation based
on rapid prototyping of right ventricular outflow tract and pulmonary trunk from MR data. Radiology. 2007;242(2):490-7. 17. Schievano S, Migliavacca F, Coats L, Khambadkone S, Carminati M, Wilson N, et al. Percutaneous pulmonary valve implantation based
on rapid prototyping of right ventricular outflow tract and pulmonary trunk from MR data. Radiology. 2007;242(2):490-7. 18. Grabherr S, Egger C, Vilarino R, Campana L, Jotterand M, Dedouit F. Modern post-mortem imaging: an update on recent developments. Forensic Sci Res. 2017;2(2):52-64. 18. Grabherr S, Egger C, Vilarino R, Campana L, Jotterand M, Dedouit F. Modern post-mortem imaging: an update on recent developments. Forensic Sci Res. 2017;2(2):52-64. 19. Bobkowska K, Przyborski M, Kaczyńska A, Kosiński A. Digital Photogrammetry in the Analysis of the Ventricles’ Shape and Size. In: Pro-
ceedings - 2017 Baltic Geodetic Congress (Geomatics), BGC Geomatics 2017. 2017. p. 169-73. 19. Bobkowska K, Przyborski M, Kaczyńska A, Kosiński A. Conclusions Digital Photogrammetry in the Analysis of the Ventricles’ Shape and Size. In: Pro-
ceedings - 2017 Baltic Geodetic Congress (Geomatics), BGC Geomatics 2017. 2017. p. 169-73.
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English
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Spatially resolved coherent 2D fluorescence spectroscopy within a high-NA microscope
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EPJ web of conferences
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cc-by
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Donghai Li1,*, Matthias Nuss1 , Sebastian Goetz1 , Verena Kolb2 , Jens Pflaum2,3 , Chiara
Trovatello4 , Giulio Cerullo4,5 , and Tobias Brixner1,6 Donghai Li1,*, Matthias Nuss1 , Sebastian Goetz1 , Verena Kolb2 , Jens Pflaum2,3 , Chiara
Trovatello4 , Giulio Cerullo4,5 , and Tobias Brixner1,6 1Institut für Physikalische und Theoretische Chemie, Universität Würzburg, Am Hubland, 97074
Würzburg, Germany 1Institut für Physikalische und Theoretische Chemie, Universität Würzburg, Am Hubland, 97074
Würzburg, Germany 2Experimental Physics VI, Universität Würzburg, Am Hubland, 97074 Würzburg, Germany
3Bavarian Center for Applied Energy Research, Magdalene-Schoch-Str. 3, 97074 Würzburg,
Germany 2Experimental Physics VI, Universität Würzburg, Am Hubland, 97074 Würzburg, Germany
3Bavarian Center for Applied Energy Research, Magdalene-Schoch-Str. 3, 97074 Würzburg,
Germany 4Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
5Istituto di Fotonica e Nanotecnologie, CNR, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
6Center for Nanosystems Chemistry, Theodor-Boveri-Weg, 97074 Würzburg, Germany 4Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
5Istituto di Fotonica e Nanotecnologie, CNR, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
6Center for Nanosystems Chemistry, Theodor-Boveri-Weg, 97074 Würzburg, Germany Abstract. We
have
developed
coherent
two-dimensional
(2D)
fluorescence micro-spectroscopy which probes the nonlinear optical
response at surfaces via fluorescence detection with sub-micron spatial
resolution. This enables the investigation of microscopic variations in
laterally heterogeneous film samples which are of interests for sub-
wavelength opto-electronic devices. 1 Introduction Coherent two-dimensional (2D) spectroscopy reveals the third-order nonlinear response
of the system under investigation. Most geometries detect a coherently emitted four-wave-
mixing signal following three-pulse excitation. However, when a fully collinear geometry is
chosen [1, 2], incoherent population-based observables can also be utilized as has been
demonstrated for fluorescence [1-3], mass spectroscopy [4], or electron currents [5]. Collinear geometry offers a possibility to couple the laser pulses into a high-NA
fluorescence microscope. With such a method, a spatial resolution below half of the
wavelength of the exciting electromagnetic field can be achieved according to the
diffraction limit. In this work, we establish spatially resolved coherent 2D fluorescence
microscopy and present two examples to demonstrate its applications. * Corresponding author: donghai.li@phys-chemie.uni-wuerzburg.de © 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/). ,
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503014 2 Experimental methods The experimental setup is described in detail in a previous publication [6]. Basically, a
femtosecond oscillator is used to provide broadband fs laser pulses with a spectrum ranging
from 670 nm to 810 nm. A pulse shaper is used to generate pulse sequences with © 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/). ,
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503014 controllable inter-pulse time delays and phases for the linear and 2D spectral
measurements. The laser focus in the microscope is mapped by a piezo scanning stage. Sample fluorescence is detected by an avalanche photodiode (APD). Linear spectra as well as nonlinear 2D spectra can be obtained at different positions on
the sample surface with spatial resolution of 260 nm. For linear spectra, a two-pulse delay
scan is conducted, where fluorescence intensity is recorded as a function of time delay
between the two pulses. Subsequent Fourier transformation results in a spectrum which is
the product of the laser spectrum and the fluorescence excitation spectrum. So, by dividing
by the laser spectrum, the spatially resolved excitation spectrum can be obtained. While in
the 2D spectral measurements, relative time delays between four pulses are scanned,
namely coherence time τ, the population time T, and signal time t. A 27-step phase-cycling
scheme is used, allowing the extraction of the absorptive spectrum from the rephasing and
non-rephasing nonlinear contributions. 3 Results and discussions As the first sample, a regularly structured sample surface made of fluorinated zinc
phthalocyanine (F16ZnPc) is fabricated, the process is detailed in reference [6]. The
absorption spectrum of a planar F16ZnPc film is fitted by multiple peaks as shown in Fig. 1(a) and indicates the absorption features that result from different coexisting molecular
conformations upon preparation. By measuring linear spectra from an area of interest, a
gradient spectral change across the molecular “hills” can be seen in Fig. 1(b). Typical linear
spectra are shown in Figs. 1(c) and 1(d) for two exemplary locations. The two excitation
spectra show differences in the ratio between intensities of high- and low-frequency
components. 2D absorptive spectra are measured at the same positions and are shown
below the corresponding linear spectra [Figs. 1(e) and 1(f)]. Along the diagonal, the
observed difference in the ratio between the two components is similar to the linear spectra. Broadening in the anti-diagonal direction in the two 2D spectra indicates strong coupling
between the high- and low-frequency components. between the high and low frequency components. Fig. 1. (a) Absorption spectrum (black solid line) of a planar F16ZnPc film, fitting curve (yellow
dotted line) with multiple component peaks plotted in different colors. (b) Map of ratio between
intensities at 700 and 770 nm in linear spectra. (c, d) Spatially resolved linear product spectra (red)
and excitation spectra (black) from two exemplary positions of the sample. (e, f) Corresponding
spatially resolved 2D absorptive spectra from the two exemplary positions. A
d
l
ll
f
l
i
M S
f
( b
10 g
q
y
p y
p Fig. 1. (a) Absorption spectrum (black solid line) of a planar F16ZnPc film, fitting curve (yellow Fig. 1. (a) Absorption spectrum (black solid line) of a planar F16ZnPc film, fitting curve (yellow
dotted line) with multiple component peaks plotted in different colors. (b) Map of ratio between
intensities at 700 and 770 nm in linear spectra. (c, d) Spatially resolved linear product spectra (red)
and excitation spectra (black) from two exemplary positions of the sample. (e, f) Corresponding
spatially resolved 2D absorptive spectra from the two exemplary positions. Fig. 1. (a) Absorption spectrum (black solid line) of a planar F16ZnPc film, fitting curve (yellow
dotted line) with multiple component peaks plotted in different colors. (b) Map of ratio between
intensities at 700 and 770 nm in linear spectra. 3 Results and discussions (c, d) Spatially resolved linear product spectra (red)
and excitation spectra (black) from two exemplary positions of the sample. (e, f) Corresponding
spatially resolved 2D absorptive spectra from the two exemplary positions. As a second sample, a small area of monolayer region on a MoSe2 surface (about 10 µm
in diameter) is studied. The absorption spectrum of the MoSe2 monolayer has two peaks 2 2 ,
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503014 corresponding to transition bands labeled A and B [7]. 2D fluorescence micro-spectra at
different waiting times were measured as shown in Fig. 2(a). A strong diagonal peak of
transition band A and two cross peaks corresponding to energy transfer from A to B and
from B to A can be clearly seen. The cross-peak dynamics are extracted as the curves in Fig. 2(b). As waiting time increases, the B-to-A transfer peak rises. The fine structure of peak A
changes with waiting time dramatically. Plotting the evolution of different regions within
diagonal peak A as marked by green and purple dashed lines in Fig. 2(a), long-lived out-of-
phase oscillations lasting up to 2 ps can be observed as shown in Fig. 2(c). corresponding to transition bands labeled A and B [7]. 2D fluorescence micro-spectra at
different waiting times were measured as shown in Fig. 2(a). A strong diagonal peak of
transition band A and two cross peaks corresponding to energy transfer from A to B and
from B to A can be clearly seen. The cross-peak dynamics are extracted as the curves in Fig. 2(b). As waiting time increases, the B-to-A transfer peak rises. The fine structure of peak A
changes with waiting time dramatically. Plotting the evolution of different regions within
diagonal peak A as marked by green and purple dashed lines in Fig. 2(a), long-lived out-of-
phase oscillations lasting up to 2 ps can be observed as shown in Fig. 2(c). p
g p
p
g
( )
Fig. 2. (a) 2D absorptive spectra at different waiting times. In the map for T = 500fs, four regions of
interest are marked with different colors. (b) Averaged intensity in the marked cross-peak areas as a
function of waiting time (red: transfer from A to B, blue: transfer from B to A). 4 Conclusions In conclusion, we established the method of spatially resolved 2D fluorescence microscopy,
where high temporal and spatial resolutions are achieved at the same time. Two samples
were studied. The first one shows that 2D spectra can be measured from distinct small
domains, and localized structural information can be extracted. The second study shows
that ultrafast energy transfer dynamics within a microscopic target can be well detected by
this method. 3 Results and discussions (c) Averaged intensity
in the two marked regions (green and purple) within peak A as a function of waiting time. Fig. 2. (a) 2D absorptive spectra at different waiting times. In the map for T = 500fs, four regions of
interest are marked with different colors. (b) Averaged intensity in the marked cross-peak areas as a
function of waiting time (red: transfer from A to B, blue: transfer from B to A). (c) Averaged intensity
in the two marked regions (green and purple) within peak A as a function of waiting time. References 1. P. Tian, D. Keusters, Y. Suzaki, and W. S. Warren, Science 300, 1553 (2003). 2. P. F. Tekavec, G. A. Lott, and A. H. Marcus, J. Chem. Phys. 127, 214307 (2007). 3. S. Draeger, S. Roeding, and T. Brixner, Opt. Express 25, 3259 (2017). 1. P. Tian, D. Keusters, Y. Suzaki, and W. S. Warren, Science 300, 1553 (2003). 2. P. F. Tekavec, G. A. Lott, and A. H. Marcus, J. Chem. Phys. 127, 214307 (2007) 3. S. Draeger, S. Roeding, and T. Brixner, Opt. Express 25, 3259 (2017). 4. S. Roeding and T. Brixner, Nat. Commun. 9, 259 (2018). 5. M. Aeschlimann, T. Brixner, A. Fischer, C. Kramer, P. Melchior, W. Pfeiffer, C. Schneider, C. Strüber, P. Tuchscherer, and D. V. Voronine, Science 333, 1723 (2011). 6. S. Goetz, D. Li, V. Kolb, J. Pflaum, and T. Brixner, Opt. Express 26, 3915 (2018). 7. Z. Nie, C. Trovatello, E. A. A. Pogna, S. Dal Conte, P. B. Miranda, E. Kelleher, C. Zhu, I. C. E. Turcu, Y. Xu, K. Liu, G. Cerullo, and F. Wang, Appl. Phys. Lett. 112,
031108 (2018) 3
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Synthesis of Visible-Light-Activated Yellow Amorphous<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mrow><mml:mtext>TiO</mml:mtext></mml:mrow><mml:mtext>2</mml:mtext></mml:msub></mml:mrow></mml:math>Photocatalyst
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International journal of photoenergy
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Hindawi Publishing Corporation
International Journal of Photoenergy
Volume 2008, Article ID 426872, 6 pages
doi:10.1155/2008/426872 Hindawi Publishing Corporation
International Journal of Photoenergy
Volume 2008, Article ID 426872, 6 pages
doi:10.1155/2008/426872 Chamnan Randorn,1 John T. S. Irvine,1 and Peter Robertson2 Chamnan Randorn,1 John T. S. Irvine,1 and Peter Robertson2
1School of Chemistry, University of St. Andrews, St. Andrews, Fife KY16 9ST, UK
2Centre for Research in Energy and the Environment, School of Engineering, The Robert Gordon University,
Schoolhill, Aberdeen AB10 1FR, UK Chamnan Randorn,1 John T. S. Irvine,1 and Peter Robertson2
1School of Chemistry, University of St. Andrews, St. Andrews, Fife KY16 9ST, UK
2Centre for Research in Energy and the Environment, School of Engineering, The Robert Gordon University,
Schoolhill, Aberdeen AB10 1FR, UK 1School of Chemistry, University of St. Andrews, St. Andrews, Fife KY16 9ST, UK
2Centre for Research in Energy and the Environment, School of Engineering, The Robert Gordon University,
Schoolhill, Aberdeen AB10 1FR, UK 1School of Chemistry, University of St. Andrews, St. Andrews, Fife KY16 9ST, UK
2Centre for Research in Energy and the Environment, School of Engineering, The Robert Gordon University,
Schoolhill, Aberdeen AB10 1FR, UK Correspondence should be addressed to John T. S. Irvine, jtsi@st-and.ac.uk Received 10 March 2008; Accepted 22 April 2008 Received 10 March 2008; Accepted 22 April 2008 Recommended by Russell. Howe Recommended by Russell. Howe Visible-light-activated yellow amorphous TiO2 (yam-TiO2) was synthesised by a simple and organic-free precipitation method. TiN, an alternative precursor for TiO2 preparation, was dissolved in hydrogen peroxide under acidic condition (pH∼1) adjusted
by nitric acid. The yellow precipitate was obtained after adjusting pH of the resultant red brown solution to 2 with NH4OH. The
BET surface area of this sample was 261 m2/g. The visible light photoactivity was evaluated on the basis of the photobleaching
of methylene blue (MB) in an aqueous solution by using a 250 W metal halide bulb equipped with UV cutofffilter (λ > 420 nm)
under aerobic conditions. Yam-TiO2 exhibits an interesting property of being both surface adsorbent and photoactive under visible
light. It was assigned to the η2-peroxide, an active intermediate form of the addition of H2O2 into crystallined TiO2 photocatalyst. It can be concluded that an active intermediate form of titanium peroxo species in photocatalytic process can be synthesised and
used as a visible-light-driven photocatalyst. Copyright © 2008 Chamnan Randorn et al. This is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited. 1.
INTRODUCTION simple synthesis with elimination of the calcination step
would mean lower costs for chemicals and energy consump-
tion. There have been only a few works that studied or
mentioned amorphous TiO2. Among them, it was found that
commercial amorphous TiO2 had negligible photoactivity
because it contains high concentrations of defects which
cause rapid e−-h+ recombination [13]. However, synthetic
amorphous TiO2 has been recently shown to exhibit sig-
nificantly photoactivity rates in aqueous methanol solutions
under full solar spectrum (200 to >1000 nm) using a 400 W
Xe arc lamp [14]. Titaniumdioxide(TiO2)has been the prevailing material in
the fields of photocatalysis and solar energy conversion due
to being chemically and biologically inert and environmen-
tally friendly. Although TiO2 is now used in various practical
applications, only a small UV fraction of solar light can
be utilised because of its large band gap of 3.2 eV. The
development of a titania-related photocatalyst that shows a
high level of activity under visible light would therefore be
a major advance. Yellow TiO2 prepared by nitrogen doping
has been regarded as a visible-light-sensitive photocatalyst
[1–4] as well as Cr or V doped TiO2 [5, 6]. Additionally,
metal ion doped SrTiO3 [7–9], some metal sulfides such as
AgGaS2 and AgInZn7S9 [10], (Ga1−yZny)(N1−xOx) [11], and
Sm2Ti2O7 [12] have been reported as visible-light-driven
photocatalysts. There may be some disadvantages of doped
materials, for instance, low surface area because of using high
temperature, the requirement of the expensive chemicals and
synthetic methods, and an increase in carrier recombination. Hydrogen peroxide (H2O2) has been reported as an
important factor in the photocatalytic process because it
has occurred as an intermediate in the mechanism of the
photocatalytic process using TiO2 as photocatalysts, and
it has been reported that the reactivity can be accelerated
by the addition of H2O2 [15–17]. Moreover, titanium-
peroxo species were found to be the active species in the
titanium silicalite-1 (TS-1)/H2O2/H2O system for partial
hydrocarbon oxidation [18, 19]. In general, titanium-peroxo
species or aqueous peroxotitanate are yellow or yellow-green
depending on pH. There have been some works that used Amorphous TiO2 is of interest for photocatalysis because
of its high surface area and high adsorption. 2.
EXPERIMENTAL Figure 1: XRD patterns of as-prepared yam-TiO2 (a) and after
calcined at temperatures of (b) 400◦C, (c) 800◦C, (d) 850◦C, (e)
900◦C, (f) 1100◦C (∗: Vaseline specific peaks, A: anatase, R: rutile). 2.1.
Materials Yam-TiO2 wassynthesised by a peroxide-based route using
TiN as precursor. 50 mL of 30% H2O2 (Fisher Scientific,
Leicestershire, UK) was added to 1.0 g of TiN (Alfa Aesar,
Lancashire, UK) under acidic condition (pH ≤1) adjusted
by HNO3 acid solution. After aging at room temperature-
without any stirring for 24 hours, a clear red-brown solution
was obtained. The obtained precursor solution was stable for
several days under ambient atmosphere. Yellow precipitate
is formed from this solution after adjusting the pH of the
solution to 2 by slowly adding ammonia solution with the
constant stirring. The precipitate was filtered and washed
with distilled water several times. It was then dried at
room temperature. The dried powder was also calcined at
a constant heating rate of 5◦C/min at various temperatures
and held at these temperatures for 2 hours. diation, 2 mL of the mixture was collected and centrifuged at
the irradiation time intervals (hourly). The photoactivity was
examinedby monitoring the reduction of the absorbance at
665 nm. The spectrophotometric measurements were carried
out using Perkin Elmer Lambda35 UV/Vis spectrometer. A
ten-fold dilution was used for the high absorbance solutions. 1.
INTRODUCTION Moreover, International Journal of Photoenergy 2 40
80
120
160
200
240
Relative intensity (%)
20
30
40
50
60
70
2Θ
a
b
c
d
e
f
A
R
∗∗
Figure 1: XRD patterns of as-prepared yam-TiO2 (a) and after
calcined at temperatures of (b) 400◦C, (c) 800◦C, (d) 850◦C, (e)
900◦C, (f) 1100◦C (∗: Vaseline specific peaks, A: anatase, R: rutile). 40
80
120
160
200
240
Relative intensity (%)
20
30
40
50
60
70
2Θ
a
b
c
d
e
f
A
R
∗∗ titanium peroxo complex as a starting material for TiO2
preparation [20–22]. As mentioned in the above discussion, H2O2 is important
in photocatalysis at TiO2, amorphous TiO2 offers some
enhancement of activity and noting the yellow colour of
the catalytically active titanium-peroxo species in the TS-
1/H2O2/H2O system, it would be interesting to see if
yellow amorphous titanium-peroxo species can act as a
photocatalyst under visible light. In this work, therefore, we
investigate the visible-light-driven photoactivity of yellow
amorphous TiO2 (hereinafter referred to as “yam-TiO2”)
prepared by a peroxide-based route, using titanium nitride
(TiN) as a precursor. 3.1.
Characterisation The XRD pattern of the as-prepared powder confirmed
the amorphous structure of yam-TiO2 as no diffraction
peaks can be observed, Figure 1. Yam-TiO2 was quite stable
under air atmosphere (the sample used throughout this work
was kept for several months in the aerobic vial). However,
colour and phase transformation of yellow amorphous to
white anatase/rutile occurred on heat treatment. Anatase was
presented after calcination at 400◦C and remained as a major
phase until 900◦C. This indicated that a high temperature
stable anatase phase can be produced by this method. Phase
transformation from anatase to rutile can be observed at
about 800–850◦C which was higher than TiO2 prepared by
conventional methods. XRD data were collected with a Stoe Stadi-P Transmis-
sion X-ray diffractometer, using Cu Kα1 radiation in the
range 2θ = 20–80◦. The BET surface area measurement
and pore analysis were carried out by nitrogen adsorption
with use of Micromeritics ASAP 2020 V3.00 H surface area
analyser. The measurement was carried out at liquid nitrogen
temperature after degassing the powder sample at 120◦C. TEM imaging was obtained using a JEOL-JEM 2011 electron
microscope. Diffuse reflectance spectroscopy was carried out
with a Perkin Elmer Lambda35 UV/Vis spectrometer using
BaSO4 as a reference. Furthermore, it was found that the particle sizes of TiO2
after calcination at 600 and 900◦C calculated by Scherrer
equation were 31 and 51 nm, respectively. The obtained
phase transformation temperature and particle size were
consistent with the previous work that synthesised TiO2 by
peroxide-based route and using H2TiO3 as precursor [20]. However, the stability of anatase phase in this work was
higher than TiO2 synthesised by the peroxide-based route
using TiCl3 as precursor [21]. The peroxide-based route,
therefore, is interesting for TiO2 preparation because of
the high temperature anatase-rutile phase transformation;
however, it depends on precursor and synthesis condition. TiN is interesting to be used as an alternative precursor in a
peroxide-based route because of its air and moisture stability,
organic and chloride ion-free route, simplicity, and low cost. 2.2.
Evaluation of photocatalytic activity Figure 4: The emitting wavelength of metal halide lamp (a) and
UV-Vis absorption spectrum of MB (b). Figure 2: TEM image of as-prepared yam-TiO2. 0
10
20
30
40
50
60
70
80
90
100
R (%)
390
450
500
550
600
650
700
750
800
(nm)
a
b cerns about the bleaching of MB due to the photoreduction
to colourless form and photoabsorption of MB [23–25]. There are two main forms of MB, the blue colour of oxidised
form (MB) and the colourless reduced form (leuco form,
LMB). MB can be photoreduced to LMB by TiO2 under
UV light under anaerobic condition and in the presence of
a sacrificial electron acceptor (SED). It was found that MB
itself can act as an SED. However, this process is reversed on
the addition of O2 to the anaerobic system. Although LMB is
readily oxidised back to MB by oxygen, this reaction depends
on pH. The rate increases with pH, LMB is moderately stable
under acidic condition but reacts rapidly with air under basic
condition [23]: Figure 3: The UV-Vis diffuse reflectance of (a) yam-TiO2, (b)
commercial rutile TiO2. MB + SED
TiO2+UV
−−−−−→LMB + SED2+;
2LMB + O2 −→2MB + 2H2O. (1) Accordingto our focus on evaluation of the visible light
photoactivity of yellow amorphous TiO2, TEM, BET and
diffuse reflectance were only examined with the as-prepared
powder. Figure 2 shows the TEM image of the as-prepared
powder. The ultrafine particles with amorphous structure
can be seen. As a result, a high BET surface area of
261 m2/g was obtained. The diffuse reflectance spectrum
shows the red shift of the absorption edge into the visible
region (Figure 3(a)) compared with commercial rutile TiO2
(TIOXIDE) (Figure 3(b)). (1) As continuous air bubbling of a neutral solution was
utilised in this work and no reducing agent was added to
the system, it is likely that the dominant bleaching process
is the photomineralisation of MB rather than the reductive
formation of LMB. This system, MB/TiO2/air-saturated
water system, has widely been utilised for the demonstration
of semiconductor photocatalysis, as reviewed by Mills and
Wang [23]. It is possible or even probable that partial rather
than complete mineralisation into CO2, NH4+, NO3
−, and
SO42 is occurring as the main observable in bleaching MB. 2.2.
Evaluation of photocatalytic activity Visible light activity was evaluated on the basis of the
decomposition of methylene blue (MB) in an aqueous
solution. The sample powder was suspended in 200 mL of
an 1 × 10−4 M MB solution by air bubbling. This mixture
was first suspended in the dark for 2 hours to reach
the adsorption equilibrium before irradiation with a high
intensity discharge 250 W iron doped metal halide UV bulb
(UV Light Technology Ltd., Bermingham, UK) equipped
with UV cutofffilter, λ
≥420 nm (Borosilicate Coated
Glass HM07, UQG(optic)Ltd., Cambridge UK). The mixture
temperature was controlled at about 25◦C using a water bath
for infrared radiation and lamp heating removal. After irra- 3 3 Chamnan Randorn et al. 20 nm
Figure 2: TEM image of as-prepared yam-TiO2. 0
10
20
30
40
50
60
70
80
90
100
R (%)
390
450
500
550
600
650
700
750
800
(nm)
a
b
Figure 3: The UV-Vis diffuse reflectance of (a) yam-TiO2, (b)
commercial rutile TiO2. 300
400
500
600
700
(nm)
a
b
Figure 4: The emitting wavelength of metal halide lamp (a) and
UV-Vis absorption spectrum of MB (b). 20 nm
Figure 2: TEM image of as-prepared yam-TiO2. 0
10
20
30
40
50
60
70
80
90
100
R (%)
390
450
500
550
600
650
700
750
800
(nm)
a
b
Figure 3: The UV-Vis diffuse reflectance of (a) yam-TiO2, (b)
commercial rutile TiO2. 300
400
500
600
700
(nm)
a
b
Figure 4: The emitting wavelength of metal halide lamp (a) and
UV-Vis absorption spectrum of MB (b). cerns about the bleaching of MB due to the photoreduction
to colourless form and photoabsorption of MB [23–25]
There are two main forms of MB, the blue colour of oxidised
form (MB) and the colourless reduced form (leuco form
LMB). MB can be photoreduced to LMB by TiO2 under
UV light under anaerobic condition and in the presence of
a sacrificial electron acceptor (SED). It was found that MB
itself can act as an SED. However, this process is reversed on
the addition of O2 to the anaerobic system. Although LMB is
readily oxidised back to MB by oxygen, this reaction depends
on pH. The rate increases with pH, LMB is moderately stable
under acidic condition but reacts rapidly with air under basic
condition [23]: 20 nm
Figure 2: TEM image of as-prepared yam-TiO2. 2.2.
Evaluation of photocatalytic activity g
Yam-TiO2 is attributed to the η2-peroxide (η2-TiOOH)
because of the similar red shift and that yam-TiO2 trans-
formed to white powder on heating similar to the η2-titani-
um peroxospecies in the TS-1/H2O2/H2O system reported
by Bonino et al. [18]. Lin and Frei [19] found that the η2-
peroxide species obtained upon loading H2O2 into TS-1 was
photodissociated efficiently under irradiation with visible or
near UV light. Moreover, η2-peroxide was assigned to the
adsorption structure formed by the addition of H2O2 on the
surface of rutile TiO2. This structure was preferable to pro-
duce hydroxyl radical that accelerates the photoactivity [17]. The photoabsorption of MB can be an issue for visible-
light-driven photocatalyst investigation because MB can
absorb visible light, especially, in the range 600–700 nm. Yan et al. [25] concluded that MB was not an appropriate
substrate for a visible-light photocatalytic activity test par-
ticularly in the range of 540–680 nm irradiation. However,
the most important and intense emitting wavelength of the
metal halide lamp used in this work is in the range of about
200–580 nm [26]. After equipping with a UV cutofffilter, the
emitting wavelength is in the range of 420–580, which has
little overlap with the absorption of MB as shown in Figure 4. 3.2.
Visible light photocatalytic activity The photobleaching of MB has been widely studied in
heterogeneous photocatalysis. However, there are some con- International Journal of Photoenergy 4 0
10
20
30
40
50
60
70
80
90
100
Decolourisation (%)
a
b
c
d
Light 5 h
Dark 2 h
Figure 5: % decolourisation of MB under the condition of dark 2
hours and light 5 hours of (a) MB, (b) MB + 0.5 g/L byam-TiO2, (c)
MB + 0.5 g/L yam-TiO2, (d) MB + 0.2 g/L yam-TiO2. 0
10
20
30
40
50
60
70
80
90
100
Decolourisation (%)
a
b
c
d As a result, the photoabsorption of MB should not signif-
icantly effect the determination of visible light photocatalytic
activity test in this work. y
Figure 5 shows the photocatalytic degradation of MB
comparing between amorphous TiO2 prepared in acidic
condition (yam-TiO2) and in basic condition (labeled byam-
TiO2), including blanktest (2 × 10−5 M MB). It was found
that 10% bleaching of MB was shown after visible light irra-
diation of only MB for 5 hours (Figure 5(a)), whereas slightly
higher, 15% photobleaching of MB, was obtained by using
0.5 g/L byam-TiO2 as photocatalyst (Figure 5(b)). However,
the latter amount was obtained after 45% of 1 × 10−4 M MB
was adsorbed, that indicated that the initial concentration of
MB before photobleaching was about 5.5 × 10−5 M. Com-
parision with using 0.5 g/L yam-TiO2, about 97% adsorption
and 2% photocatalytic activity was measured (Figure 5(c)). It
can be concluded that the adsorption capacity of yam-TiO2
was significantly higher than byam-TiO2; however, the extent
of adsorption must hinder the hetereogeneous photoactivity. Therefore, a decreased amount of yam-TiO2 to 0.2 g/L was
performed for photoactivity comparison (Figure 5(d)). It
can be seen that about 46% photobleaching of MB after
adsorption was obtained, which was considerably higher
than using byam-TiO2 in spite of using less amount and
higher concentration remained after adsorption. Moreover,
only 9% photobleaching was observed for 0.5 g/L of Degussa
P25 in 1 × 10−5 MB under visible light for 2 hours (compared
to 93% under UV for 1 hour) showing that the yam-TiO2
was much more effective, ∼40% under visible light for 2
hours. An important point to note is that the adsorbed MB
seemed much less intense in colour and indeed the colour
had changed to pale purple/violet. 3.2.
Visible light photocatalytic activity This could indicate an
oxidative adsorption process in the dark with the oxidised
form, MB•+ being formed and adsorbed onto the yam-TiO2;
however, confirmation requires further study. 0
10
20
30
40
50
60
70
80
Decolourisation (%)
a
b
c
d
Light 5 h
Dark 2 h
Figure 5: % decolourisation of MB under the condition of dark 2
hours and light 5 hours of (a) MB, (b) MB + 0.5 g/L byam-TiO2, (c)
MB + 0.5 g/L yam-TiO2, (d) MB + 0.2 g/L yam-TiO2. 0.001
0.05
0.1
0.15
0.2
0.25
0.3
0.347
A
200
300
400
500
600
700
800
(nm)
Figure 6: UV-Vis absorption spectra of MB. 0
10
20
30
40
50
60
70
80
90
100
R (%)
390
450
500
550
600
650
700
750
800
(nm)
a
b
Figure 7: The UV-Vis diffuse reflectance of (a) yam-TiO2, (b)
byam-TiO2. Figure 5: % decolourisation of MB under the condition of dark 2
hours and light 5 hours of (a) MB, (b) MB + 0.5 g/L byam-TiO2, (c)
MB + 0.5 g/L yam-TiO2, (d) MB + 0.2 g/L yam-TiO2. 0.001
0.05
0.1
0.15
0.2
0.25
0.3
0.347
A
200
300
400
500
600
700
800
(nm)
Figure 6: UV-Vis absorption spectra of MB. 0
10
20
30
40
50
60
70
80
90
100
R (%)
390
450
500
550
600
650
700
750
800
(nm)
a
b
Figure 7: The UV-Vis diffuse reflectance of (a) yam-TiO2, (b)
byam-TiO2. 0.001
0.05
0.1
0.15
0.2
0.25
0.3
0.347
A
200
300
400
500
600
700
800
(nm)
Figure 6: UV-Vis absorption spectra of MB. 0.001
0.05
0.1
0.15
0.2
0.25
0.3
0.347
A
200
300
400
500
600
700
800
(nm) Figure 6: UV-Vis absorption spectra of MB. The irreversibility of the photobleaching process on
continuous air bubbling for 24 hours in the dark after
complete decolourisation of MB and the disappearance of
the bands associated with MB (294 nm and 665 nm) with
no appearance of band associated with LMB (256 nm) [24]
as shown in Figure 6. were observed, further confirming
that photoreduction of MB to LMB was not the dominant
process. 0
10
20
30
40
50
60
70
80
90
100
R (%)
390
450
500
550
600
650
700
750
800
(nm)
a
b
Figure 7: The UV-Vis diffuse reflectance of (a) yam-TiO2, (b)
byam-TiO2. 3.2.
Visible light photocatalytic activity The first way, to completely remove adsorbed
MB on the surface by using photoactivity itself until the
original colour of yam-TiO2 was recovered. Due to a large
amount of MB being adsorbed on the surface, 48 hours
UV irradiation was used for adsorbed MB removal, after
colourless solution was obtained by visible light photoac-
tivity test, in order to reduce the duration of adsorbed MB
removal and to evaluate the stability of yam-TiO2 under
UV light simultaneously. Figure 8 shows the recyclability by
using UV irradiation for adsorbed MB removal. The 0.5 g/L
ratio of catalyst to volume of MB was chosen because of the
incomplete MB adsorption, hence, the visible-light photoac-
tivity can be monitored, and a quantity of catalyst will be
sufficient for removal of the high amount of adsorbed MB
in 48 hours. About 97% adsorption and 2% photoactivity
in 5 hours were obtained in the preliminary photoactivity
test (Figure 8(a)). After the mixture was irradiated with
UV light for 48 hours, the violet powder of visible light
irradiated/adsorbed MB was changed to yellow powder as the
original colour with a small amount of violet specks. Some
violet specks indicated incomplete removal of adsorbed MB. Thereafter, the colourless aqueous solution was removed
from the mixture by rinsing and the remaining powder left
to dry at room temperature. 0
Dark 2 h
Light 1 h
Light 2 h
Light 3 h
Light 4 h
Light 5 h Figure 8: Recyclability with removal of adsorbed MB (a) MB
+ 0.5 g/L yam-TiO2, (b) 1st reuse, (c) 2nd reuse, (d) only
photoactivity of 1st reuse, (e) only photoactivity of 2nd reuse. Figure 8: Recyclability with removal of adsorbed MB (a) MB
+ 0.5 g/L yam-TiO2, (b) 1st reuse, (c) 2nd reuse, (d) only
photoactivity of 1st reuse, (e) only photoactivity of 2nd reuse. y
The first reuse was performed by readding 200 mL
of 1 × 10−4 M MB. A slight decrease of adsorption and
photoactivity was obtained for the first and second recycles
(Figure 8(b), (c)). A small decrease of adsorption capac-
ity and photoactivity presumably caused by incomplete
adsorbed MB removal and decrease of efficiency or stability
of amorphous structure after prolonged UV irradiation,
which the colour changing from yellow to pale yellow can
be observed by the naked eye (XRD data showed that it
remained amorphous structure). 3.2.
Visible light photocatalytic activity However, if considering
only photoactivity by using MB concentration after adsorp-
tion, about 2 × 10−5 M estimated from the percentage of
bleaching, as an initial concentration, about 80% bleaching
of MB under visible light irradiation can be reached in 5
hours both in the first and second recycles (Figure 8(d),
(e)). 0
10
20
30
40
50
60
70
80
90
100
Decolourisation (%)
Dark 2 h
Light 1 h
Light 2 h
Light 3 h
Light 4 h
Light 24 h
a
b
c
d
e
Figure 9: Recyclability without removal of adsorbed MB (a)
MB + 0.5 g/L yam-TiO2, (b) 1st reuse, (c) 2nd reuse, (d) only
photoactivity of 1st reuse, (e) only photoactivity of 2nd reuse. 0
10
20
30
40
50
60
70
80
90
100
Decolourisation (%)
Dark 2 h
Light 1 h
Light 2 h
Light 3 h
Light 4 h
Light 24 h Decolourisation (%) The second way of recyclability testing was performed
by readding 200 mL 1 × 10−4 M MB without removal of
adsorbed MB. The results are shown in Figure 9. The adsorp-
tion capacity significantly decreased in the first and second
reuses as expected, 75% and 22%, respectively (Figure 9(b),
(c)), due to MB was adsorbed 97% of 1 × 10−4 M MB in the
preliminary photoactivity test before recycling (Figure 9(a)). The photobleaching of MB in the first reuse, including
adsorption and photoactivity, was 85% in 4 hours and 99%
in 24 hours (Figure 9(b)), while 51% and 95%, respectively,
in the second reuse (Figure 9(c)). However, considering only
the photoactivity, the percentage of bleaching of MB under
visible light irradiation can be about 40% in 5 hours and
more than 90% in 24 hours both in the first and second
recycles (Figure 9(d), (e)). These results show the reusability
of yam-TiO2. 0
Dark 2 h
Light 1 h
Light 2 h
Light 3 h
Light 4 h
Light 24 h Figure 9: Recyclability without removal of adsorbed MB (a)
MB + 0.5 g/L yam-TiO2, (b) 1st reuse, (c) 2nd reuse, (d) only
photoactivity of 1st reuse, (e) only photoactivity of 2nd reuse. light-driven photocatalyst even on prolonged irradiation,
although the reaction rate decreased. The color change
probably due to some η2-peroxide being converted to a
hydroxide form upon photo irradiation [17, 19]. 3.2.
Visible light photocatalytic activity 0
10
20
30
40
50
60
70
80
90
100
R (%)
390
450
500
550
600
650
700
750
800
(nm)
a
b These results show that yam-TiO2 can act as a visible-
light-driven photocatalyst better than byam-TiO2, in parallel
with a red shift of the absorption edge into the visible
region as shown in Figure 7. However, an increase in visible
absorption edge does not guarantee consistency in visible
light photoactivity, the recombination and surface area are
also important factors. Figure 7: The UV-Vis diffuse reflectance of (a) yam-TiO2, (b)
byam-TiO2. Recyclability
and
stability
of
photocatalyst
are
important factors for any practical applications. Therefore,
we have attempted to investigate cyclability and stability. In
general, the photoactivity of crystalline TiO2 is observed by
monitoring the degradation of MB in an aqueous solution,
and adsorbed MB is not an issue probably due to small
amount of MB that was adsorbed on crystallined TiO2. The recyclability of crystallined TiO2 normally performed
by elimination of adsorbed MB on TiO2 by oxidation at temperatures higher than about 200◦C, which is the
decomposition temperature of MB. However, removal of
adsorbed MB by calcination cannot be used in the case of
amorphous form because crystallisation will be induced. As a result, the cyclability of yam-TiO2 was measured
by two different methods, with and without removal of at temperatures higher than about 200◦C, which is the
decomposition temperature of MB. However, removal of
adsorbed MB by calcination cannot be used in the case of
amorphous form because crystallisation will be induced. As a result, the cyclability of yam-TiO2 was measured
by two different methods, with and without removal of Chamnan Randorn et al. 5 0
10
20
30
40
50
60
70
80
90
100
Decolourisation (%)
Dark 2 h
Light 1 h
Light 2 h
Light 3 h
Light 4 h
Light 5 h
a
b
c
d
e
Figure 8: Recyclability with removal of adsorbed MB (a) MB
+ 0.5 g/L yam-TiO2, (b) 1st reuse, (c) 2nd reuse, (d) only
photoactivity of 1st reuse, (e) only photoactivity of 2nd reuse. 0
10
20
30
40
50
60
70
80
90
100
Decolourisation (%)
Dark 2 h
Light 1 h
Light 2 h
Light 3 h
Light 4 h
Light 5 h adsorbed MB. REFERENCES [17] T. Hirakawa, K. Yawata, and Y. Nosaka, “Photocatalytic
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Visible light photocatalytic activity The intense
yellow can be recovered after further addition of H2O2 as well
known for crystalline TiO2. For this reason, yam-TiO2 can be
reused several times with addition of H2O2. As mentioned above about the gradual colour changing
of yam-TiO2 from yellow to pale yellow after irradiation, it
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Risk adjustment in aging societies
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von Wyl and Beck Health Economics Review 2014, 4:7
http://www.healtheconomicsreview.com/content/4/1/7
RESEARCH
Open Access
Risk adjustment in aging societies
Viktor von Wyl1,2* and Konstantin Beck1,3
Abstract
Background: In Switzerland, age is the predominant driver of solidarity transfers in risk adjustment (RA). Concerns
have been voiced regarding growing imbalances in cost sharing between young and old insured due to
demographic changes (larger fraction of elderly >65 years and rise in average age). Particularly young adults aged
19–25 with limited incomes have to shoulder increasing solidarity burdens. Between 1996 and 2011, monthly
intergenerational solidarity payments for young adults have doubled from CHF 87 to CHF 182, which corresponds
to the highest absolute transfer increase of all age groups.
Results: By constructing models for age-specific RA growth and for calculating the lifetime sum of RA transfers we
investigated the causes and consequences of demographic changes on RA payments. The models suggest that the
main driver for RA increases in the past was below average health care expenditure (HCE) growth in young adults,
which was only half as high (average 2% per year) compared with older adults (average 4% per year). Shifts in age
group distributions were only accountable for 2% of the CHF 95 rise in RA payments.
Despite rising risk adjustment debts for young insured the balance of lifetime transfers remains positive as long as
HCE growth rates are greater than the discount rate used in this model (3%). Moreover, the life-cycle model predicts
that the lifetime rate of return on RA payments may even be further increased by demographic changes.
Nevertheless, continued growth of RA contributions may overwhelm vulnerable age groups such as young adults.
We therefore propose methods to limit the burden of social health insurance for specific age groups (e.g. young
adults in Switzerland) by capping solidarity payments.
Conclusions: Taken together, our mathematical modelling framework helps to gain a better understanding of how
demographic changes interact with risk adjustment and how redistribution of funds between age groups can be
controlled without inducing further selection incentives. Those methods can help to construct more equitable
systems of health financing in light of population aging.
Keywords: Risk adjustment; Demography; Health insurance; Intergenerational solidarity
JEL codes: I13; J11
Background
Societies in highly industrialized countries in Western
Europe, North America or Japan have undergone profound demographic changes over the past decades. Lifeexpectancy has increased substantially, owing to reductions
of mortality, better life-styles and greater medical possibilities [1,2]. It is estimated that the average lifespan in
OECD countries rose by more than 6 years between 1970
and 2000 [3]. Although this growing life expectancy is
* Correspondence: viktor.vonwyl@css-institut.ch
1
CSS-Institute for Empirical Health Economics, Tribschenstrasse 21, 6002
Luzern, Switzerland
2
Institute for Social and Preventive Medicine, University of Bern,
Finkenhubelweg 11, 3012 Bern, Switzerland
Full list of author information is available at the end of the article
commonly perceived as positive, it puts strains on the welfare systems of industrialized societies. For example, the
ratio of retired individuals to active workers is increasingly
shifting towards the elderly, and fewer active workers have
to support more retired persons [4].
Apart from pension systems, health insurance systems
are also affected by those demographic trends. The impact of aging societies – increasing average age and a rising share of elderly (>65 years) – on health care
expenditures (HCE) has long been recognized. For example, recent projections of Swiss health care costs adjusted for expected demographic changes predict
substantial overall increases in HCE owing to a higher
proportion of elderly in the population and higher cost
growth for older insured [5]. As for the latter, the higher
© 2014 von Wyl and Beck; licensee Springer. 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.
von Wyl and Beck Health Economics Review 2014, 4:7
http://www.healtheconomicsreview.com/content/4/1/7
cost increase for older age groups is well documented by
long-term observations. For example, Mendelson and
Schwarz analyzed Health Care Financing Administration
Data from 1977 through 1987 and noticed a disproportionally high cost growth among the elderly aged 65 and
more [6], later termed “steepening” by Buchner & Wasem
[7]. Such longitudinal analyses of age-stratified costprofiles were also performed for Switzerland and reached
similar results [8,9].
However, the reasons for the accelerated cost growth
among the elderly are still debated. In particular, the effects of age, medical progress, and interactions thereof
are not fully understood, and their disentanglement in
statistical models is very challenging. One prominent explanation termed “red herring hypothesis” was put forth
by Zweifel et al. [10,11], which states that the cost increases are not linked to age per se but rather to proximity
of death (which is more likely at older age), although opposing studies found significant age effects on HCE increases [12-14]. Despite this unresolved debate, there is
unanimous agreement that health care expenditures will
rise further in the future, which in turn will have implications for health insurance and premium financing.
In settings with competing health insurers and community-rated premiums (e.g. Belgium, The Netherlands,
and Switzerland), many of the effects of population aging
on health financing are mediated through risk adjustment (RA). Risk adjustment (or risk equalization) is a
necessary means to prevent risk selection because individual health care expenditures can vary greatly and in
part even predictably, whereas health insurance premiums do not [15]. Therefore, premiums systematically
do not match costs for certain age groups (e.g. elderly),
which leads to incentives for “cream skimming” and discrimination of insured. Risk selection is also harmful
from a societal perspective, because it can create losses
in welfare and efficiency [15].
Risk adjustment reduces incentives for risk selection.
It operates by estimating the difference between groupspecific average health care expenditures and the overall
average. The difference between these two amounts is
then taxed from groups with below average costs and
passed on as a subsidy to groups with greater than average costs. Thus, risk adjustment should equal out risk
differences in portfolios of insurers to eliminate “cream
skimming”.
In general, risk adjustment leads to re-distribution of
money from younger, healthier individuals to older,
sicker insured, thereby establishing an intergenerational
solidarity because age is one of the main drivers of risk
adjustment transfers (especially in the context of the
Swiss risk adjustment formula). Hence, if the share of
elderly in a population grows over time (and thus average health care expenditures increase), this means that
Page 2 of 14
younger, healthier individuals have to contribute more to
risk adjustment in order to achieve risk equalization.
Solidarity across age groups is also established by other
transfer schemes in mandatory health insurance. In
particular, young adults also benefit from tax-financed
premium subsidies. But quantitatively risk adjustment
is by far the largest solidarity component in mandatory health insurance: In 2012 young adults contributed CHF 1.37 billion to risk adjustment, but received
only CHF 0.52 billion in premium subsidies [16]. As
a consequence risk adjustment should play a key role
in any attempt to re-distribute the burden of rising
HCE in aging societies.
Nevertheless, the knowledge on interactions between
population aging and risk adjustment is still partial.
What is more, frameworks for the implementation of
fair (as defined normatively by society) and stable intergenerational solidarity transfers within risk adjustment
are, to our knowledge, still lacking. In this paper, we aim
to address two questions. First, we aim to investigate
how the Swiss risk adjustment scheme (or any scheme)
responds to population aging. We will analyze possible
effects both from a cross-sectional (i.e. different age
groups at single time-points) and from a lifetime perspective (i.e. following an age-cohort of insured over
time). Second, we aim to seek ways how solidarity enforced by risk adjustment can be maintained in long
term without financially overwhelming especially vulnerable age groups.
The remainder of this paper is structured as follows.
First follows a brief explanation of the Swiss health care
setting. Second, to gain a better understanding of the processes leading to an increasing premium burden for young
insured we develop a simple model of risk adjustment
payments over time from the perspective of young adults,
in which we include variables for health care growth and
demographic changes. Although the model is generic and
can accommodate any age splits we will center these calculations around young adults aged 19 to 25 years for reasons that will be explained in the methods section. The
third section outlines the construction of a mathematical
model to assess the balance of risk adjustment over a lifecycle. By use of those models from the second and the
third section we assess the importance of demographic
change for the increase of solidarity transfers from young
to old using data from the Swiss risk adjustment statistics.
Moreover, we will sketch out ideas on how to reduce and
stabilize the levels of risk adjustment payments for specific
age groups, again using the young adults as an example.
The results section describes applications of the mathematical models within stochastic simulations and tests
different reform suggestions for how they reduce the premium burden for 19 to 25 year old insured. The paper
concludes with a discussion of the findings.
von Wyl and Beck Health Economics Review 2014, 4:7
http://www.healtheconomicsreview.com/content/4/1/7
Methods
Setting
The Swiss system of social health insurance is influenced
by Enthoven’s concept of managed competition [17]. A
large number of health insurers (124 in 1996; 62 in
2011) compete for customers and are obliged to accept
any person willing to enroll, independent of age or
health status. Mandatory health insurance is organized
on a pay-as-you-go basis. Benefit packages are strictly
defined and comprehensive. Insurance is not linked to
employment, and each insured has to pay the premiums
directly to the insurer, although state-funded premium
subsidies are granted to individuals in need on the basis
of taxable income. Currently 30% of all insured receive
such financial assistance [16].
Premiums for mandatory insurance are charged as
age-independent community rates with two exceptions.
Children between 0 to 18 years of age are granted riskrated premiums with regard to age on a mandatory
basis. Moreover, the health insurance law states that insurance companies can grant premium reductions to
young adults aged between 19 to 25 years. An internal
risk adjustment scheme (i.e. without supplemental funds
from the government), defined by retrospective redistribution of premiums across sex and 15 age groups, was
introduced in 1993 and left unchanged until 2011 [18].
Starting in 2012, the Swiss risk adjustment was reformed
to be based on prospective payments and to additionally
include prior hospitalization as a crude morbidity indicator [19]. Further reform steps are currently discussed in
the Swiss parliament and will likely include the introduction of pharmaceutical cost groups.
Variable notations for modeling analyses
In the following, we will develop a simple model with
only two groups of insured, which we term young adults
and adults. We are using the following notation:
C = Average health care expenditures
x = Number of individuals
p = Proportion in the general population of insured
older than 18 years
a = Risk adjustment payment
Y = Indicator for young adults (e.g. 19–25 year olds)
A = Indicator for adults (e.g. >25 year olds)
i = Indicator variable for the 30 risk groups (ordered by
age) that were included in the Swiss risk adjustment
scheme until 2011 (15 age groups, male/female). The
indicator i = 1,..,k corresponds to risk groups for
young adults with the cut-off denoted by k, and the
remaining k + 1 to 30 risk groups represent adults.
Definition of risk adjustment equations
We define average health care expenditures for young
adults Y, adults A and overall as
Page 3 of 14
Xk
Y ¼ Xi¼1
C
k
C i xi
x
i¼1 i
X30
A ¼ Xi¼kþ1
C
30
C i xi
x
i¼kþ1 i
X30
C i xi
and C ¼ Xi¼1
30
x
i¼1 i
ð1Þ
The proportion of young adults and of adults is defined,
Xk
X30
x
=
x , and pA = 1 − pY.
respectively, by pY ¼
i
i¼1
i¼1 i
Thus, we can also define average health care expenditures
as
C
A
¼ pY C
Y þ 1−pY C
C
ð2Þ
Risk adjustment transfers for young adults and adults
can then be written as
H− C
aH ¼ C
ð3Þ
for H = Y or H = A. We will use equation (3) as starting point for the development of a model of changes
in the amount of risk adjustment transfers for young
adults.
Cross-sectional analysis of impact of demographic
changes on risk adjustment transfers
For this analysis, we consider the intergenerational part
of risk adjustment transfers defined in equation (3). Given
equation (2), we can write the intergenerational transfer
per person for young adults at time point t = 0 as
A
Y− C
¼C
Y − pY C
Y − 1−pY C
aY0 ¼ C
−
ð4Þ
−
Note that because C Y < C risk adjustment transfers
for young adults are also negative (aY0 < 0), meaning that
they have to make payments into the fund.
For time points t > 0 the intergenerational part of risk
adjustment transfers becomes
Y ð1 þ ΔY Þt
Y ð1 þ ΔY Þt − pY ð1 þ d Y Þt C
aYt ¼ C
A
ð1 þ ΔA Þt ;
− 1 − pY ð1 þ d Y Þt C
ð5Þ
whereby (1 + ΔY)t and (1 + ΔA)t stand for average health
care expenditure (HCE) growth for young adults and
adults with average growth rates of ΔY and ΔA, respectively. The expression (1 + dY)t denotes average changes in
the fraction of young adults in the population of all inY, C
A and
sured older than 18 years (decrease if dY <0). C
pY denote starting point values at time 0 (time index is left
away for the sake of simplicity).
We now combine equations (4) and (5) into a difference equation. In addition, we separate the terms into
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those which are independent of the demographic change
dY (first row) and those that are dependent on dY
(second row).
aYt − aY0 ¼
h
i h
i
Y ð1 þ Δ Y Þt − C
A ð1 þ Δ A Þt − ð1 − p Y Þ C
Y−C
A
C
h
i
Y ð1 þ Δ Y Þt
A ð1 þ Δ A Þ t − C
þ pY ð1 þ d Y Þt C
ð6Þ
If t = 1, then equation (6) simplifies to
Y
A ΔA
ΔY − C
aY1 − aY0 ¼ 1 − pY C
Y ð1 þ ΔY Þ
A ð1 þ ΔA Þ − C
þ d Y pY C
ð7Þ
This equation (7) can be transformed into a change
rate ΔaY through division by aY0 .
ΔaY ¼ aY1 − aY0 =aY0
ð8Þ
which is important in the context of lifetime redistribution described in the next section. Equation (7) allows
for comparative static analyses of the impact of different
growth parameter combinations on changes of risk adjustment transfers over time. For example, if there was
only a change in the composition of the population (i.e.
dY ≠ 0
and ΔY, ΔA = 0), then expression (7) simplifies to
Y . The sign of this simplified expression
A −C
ð d Y pY Þ C
depends on dY only (change in proportion of insured
aged 19 to 25 years), which for Switzerland turns out
to be negative (<0, c.f. Results). For young adults with
negative transfers (aY < 0) this means that the amount
to be paid increases, because equation (7) becomes
even more negative. Alternatively, if the only change
present was high cost growth among adults (i.e. ΔA >
0 and Δ
Y, dY = 0), then expression (7) becomes ðpY −1Þ
A
C ΔA , which is negative because (pY − 1) < 0. Finally,
high cost growth for adults and an increase in their share
of the population (i.e. dY <0, ΔA > 0 and ΔY = 0) leads to elevated risk adjustment contributions
adults by
for young
A Δ A þ ð d Y pY Þ
the amount
of ðd Y pY þ pY −1Þ C
A −C
Y , because this expression is negative. A more
C
formal analysis of partial derivatives of equation (7) with
respect to different growth parameters is given in Appendix A.1.
To summarize, from our two generation model we can
derive the following conclusions with respect to population aging. All other things equal, the risk adjustment
debt for young adults increases
if HCE growth rates are higher for adults than for
young adults
and/or if the proportion of young adults in the
population is shrinking.
Basic model for lifetime transfers in risk adjustment
(cohort analysis)
Given that risk adjustment contributions made by specific age groups can change (as demonstrated in the previous section), what are possible implications for the
lifetime balance of risk adjustment transfers? In particular, will the current young generations pay more into risk
adjustment than they will ever receive back when they
grow old?
In the following we will address those questions by
developing a discrete-time overlapping generations model, similar in spirit to those developed for the analysis of pension systems (e.g. [20]). Several features of
the Swiss risk adjustment make such an analogy quite
fitting. First, Swiss social health insurance, of which
risk adjustment is an integral part, is a pay-as-you-go
system. Because Switzerland only has an internal risk
adjustment system (without any tax-financed contributions as for example in Germany) this means that
in any given year the contributions made into the fund
must equal the benefits paid (henceforth: “symmetry
property”). In addition, risk adjustment transfers follow an age-gradient similar to pension schemes, with
younger age groups contributing and older generations profiting from risk adjustment (although the
addition of further morbidity-criteria may weaken the
age dependency).
The overall idea for the model is as follows. The curve
of risk adjustment transfers ordered by amount and
weighted by group size roughly resembles two triangles:
One below the zero line (net payers aged 19 to 60 years)
and one above (net beneficiaries, aged 61 years and
older, Figure 1a). As mentioned above, we will make use
of the fact that for internal risk adjustment schemes
the two areas defined by the zero-line and the riskadjustment curve are of equal size (symmetry property).
Initially, we assume that the shape of those triangles in a
given year resembles the pattern of risk adjustment
transfers for a single person over a lifetime. In other
words, the x-axis interpretation in Figure 1a changes
from “age” to “time”. In the simplest model we further
assume that a person only lives for two generations: one
in which contributions are made and the second in
which payments are received. Subsequently we will expand the model to more generations and by modeling
growth of risk adjustment payments (Figure 1a and b).
The model notation is the same as for the previous
section.
Two overlapping generations, no population change,
undiscounted payments
As a convention the superscripts N and P denote negative transfers (contributions into fund) and positive
transfers (payments from the fund), respectively.
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Page 5 of 14
Figure 1 Schematic drawing outlining the concept for modelling lifetime risk adjustment transfers. a shows monthly risk adjustment
payments in 2011, ordered by amount of payment (which corresponds to increasing age). Because the volume of payments into and out of the
fund are symmetric in Switzerland, the area under the curves below and above the zero-line are identical. For the model of lifetime payments the
volume of transfers into the fund (and hence out of the fund because of the symmetry) are approximated by a triangle confined by the most
negative transfer to the point where the curve of transfers crosses the zero-line on the x-axis. b generalizes the model of lifetime payments for 3
time periods (two as a net-payer into and one as a beneficiary of risk adjustment).
The area of the dotted triangle below the 0 line in
Figure 1a (AN
0) can be approximated by the
0 at baseline
Y
area of a triangle 0; pN
;
a
0
0 ) in Figure 1b.
Y N
P
AN
0 ¼ a0 p0 =2 ¼ A0
ð9Þ
The notation is similar as in the previous crosssectional model, with aY0 denoting the risk adjustment of
the youngest age group (young adults) and pN
0 representing the proportion of net-payers (aged 19 to 60 years) at
baseline (time 0). Because of the symmetry property
P
AN
0 ¼ A0 must hold.
We now turn to the case of two time periods with a
cost increase of (1 + ΔaY) between the two periods. The
variable ΔaY stands for the increase of risk adjustment
contributions to be made by young adults in the second
time period (cf. Equation 8). Again, there is one time
period with payments made into and one with payments
received out of the fund. Turning to Figure 1b the young
age period with negative transfers is defined by the
Y
triangle 0; pN
and the old age period by triangle
0 ; a0
N
p0 ; 1; amax
.
Because
of the symmetry property of in3
ternal risk adjustment we can define both triangles in
terms of AN
0.
P
Y
N
N
AN
1 ¼ A1 ¼ a0 ð1 þ ΔaY Þp0 =2 ¼ ð1 þ ΔaY ÞA0
ð10Þ
If ΔaY ≥ 0 then it is straightforward to show that the
N
inequality AN
0 ≤A1 holds. This means that the payments
made into the fund at time 0 are surpassed by the payments received out of the fund at time point 1.
More than two net-payer generations, no population
change, present-value perspective
In order to enhance realism of the model we split the life
phase of payments to the fund into several separate time
periods and allow cost growth between periods. This is
shown in Figure 1b for three phases. As a person ages
she transits two periods with decreasing contributions
into the fund, i.e. the blue area including the points
N
N
Y
0; p0 =2; aY0 =2; aY0 and the red triangle pN
0 =2; p0 ; a1 =2 ,
as well as a third life phase with payments out of the
max
.
fund as shown by the green triangle pN
0 ; 1; a3
Y
The term a0 =2 follows from the second intercept theN
orem: If we divide the line (0, pN
0 ) of triangle ( 0; p0 ;
Y
a0 ) into halves, then the length of the vertical down
ward line 0; aY0 also reduces to 0; aY0 =2 at point
N
pN
0 =2. This implies that the area of triangle (0; p0 =2;
Y
N
Y
a0 =2) is one fourth of the larger triangle (0; p0 ; a0 ), a
property used in expression (11).
The steepening dotted black lines symbolize cost growth
between different time periods (also note that the area of
the red triangle is larger than what the corresponding blue
segment for the same period would be). Moreover, we
now discount all payments at a rate of r.
Let’s first focus on the blue area 0; pN
=2; aY0 =2; aY0
0
N
Y
and the red area pN
0 =2; p0 ; a1 =2 in Figure 1b. We denote the sum of those negative transfers over n (here
two) time periods by TnN .
TnN
¼
AN
0
n−1
X
ð1 þ ΔaY Þi
i¼0
1
ð1 þ r Þi
"
n−i
n
2
#
n−ði þ 1Þ 2
−
n
ð11Þ
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The mechanism of this equation is easy to demonstrate for the case of two periods (n = 2) with net contributions into and a third period (n + 1) with payments
out of the fund. When i = 0 then the first term in the square
Y
bracket defines the full triangle at time 0 0; pN
0 ; a0 . In
N
order to obtain the blue segment 0; p0 =2; aY0 =2; aY0 we
N
Y
have to subtract the smaller triangle pN
0 =2; p0 ; a0 =2 . The
N
Y
area of the triangle in the second period pN
0 =2; p0 ; a0
ð1 þ ΔaY Þ=2Þ takes cost growth into account. Because of
the symmetry property for internal risk adjustment, the
max
area of the green triangle pN
representing
0 ; 1; a3
insured with positive payments out of the fund at
time point 3 (n + 1) can be defined according to the
following equation.
n
P
Tnþ1
¼ APnþ1 ¼ AN
0 ð1 þ ΔaY Þ
1
ð1 þ r Þn
ð12Þ
In order to show that over a lifetime the present value
of transfers received from risk adjustment are equal or
greater than the amounts paid in we have to verify the
following inequality.
"
#
n−1
X
1
n−i 2 n−ði þ 1Þ 2
i
ð1 þ ΔaY Þ
−
ð13Þ
n
n
ð1 þ r Þi
i¼0
≤ð1 þ ΔaY Þn
1
ð1 þ r Þn
It is commonplace in the literature to discount payments at rates between 2% and 3%. In contrast, we estimated the increase of ΔaY at 4.5% p.a. between 1996 and
2011 using Swiss risk adjustment statistics ([21], not
shown). Under those circumstances the expression
i
1þΔaY
as a function of i is monotonically increasing,
1þr
which is an important result on the way to proof inequality (13).
In order to demonstrate that expression (13) is true
Y
we consider a triangle 0; pN
0 ; a0 ð1 þ ΔaY Þ . It is obvious
from Figure 1b that the area of this triangle is an overestimate of the actual area of all colored segments, but
the mathematical formulation is more tractable. If this
triangle is still smaller in size than the one determined
by the right hand side of the inequality (green triangle in
Figure 1b), then inequality (13) must hold.
Y
The triangle 0; pN
corresponds to a
0 ; a0 ð1 þ ΔaY Þ
1
situation where the index i in (1 + ΔaY)i and ð1þr
of the
Þi
left hand side of equation (13) is held fixed at i = n − 1.
This leads to (1 + ΔaY)n − 1 and ð1þr1Þn−1 , which are the lar-
gest possible values in the iterations (provided that ΔaY.
and r are both positive and the function is monotonically increasing). Equation (13) can then be rewritten
as follows.
"
#
n−1
X
n−i 2 n − ði þ 1Þ 2
ð1 þ ΔaY Þ
−
n
n
ð1 þ r Þn−1 i¼0
1
≤ð1 þ ΔaY Þn
ð1 þ r Þn
ð14Þ
n−1
1
It is easy to show that the sum of the square brackets
is just 1 (an expansion of the sum cancels out all terms
except for the first and the last, which are 1 and 0, respectively), leading after some re-arrangements to the
following equation.
1≤
ð1 þ ΔaY Þ
ð1 þ r Þ
ð15Þ
Given the observed value for ΔaY and an assumed discount rate of 3% inequality (15) holds true. Further note
that the right hand side of this inequality can be interpreted as a return rate for the payments made into the
fund. Moreover, inequality equation (15) fully integrates
with equations (7) and (8) defining ΔaY, and the discussion of effects of different change parameters on risk
adjustment payments for young adults applies. In particular, the expected greater increase in costs for adults
(compared with young adults) and the decreasing fraction of young adults in the population (as a result of
demographic changes) both increase ΔaY and therefore
will enhance the return rate.
More than two net-payer generations, population change,
present-value perspective
It is straightforward to show that the above reasoning
can be generalized for any n generations of net payers
(the return rate will actually remain the same). But what
happens if, in addition, the population as a whole gets
older in average age? We model this change by introducing an additional growth rate dN, which stands for
changes in the proportion of net contributors (aged 19
to 60 years) into risk adjustment.
Turning again to the scenario with multiple time steps
on the left hand side and with one time step on the right
hand side, we obtain the following inequality.
n−1
X
ð1 þ ΔaY Þi ð1 þ d N Þi
i¼0
"
#
n−i 2 n−ði þ 1Þ 2
−
n
n
ð1 þ r Þi
1
ð16Þ
≤ð1 þ ΔaY Þn ð1 þ d N Þn
1
ð1 þ r Þn
Again, studying the combination of growth rates
1
ð1 þ ΔaY Þi ð1 þ d N Þi ð1þr
is a key step in the analysis of
Þi
inequality (16). Because dN was positive in the past (the
fraction of net payers - corresponding to all age groups
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Page 7 of 14
between 19 and 60 years - increased at 0.33% p.a., although not continuously [21]) it is reasonable to assume
that all growth rates of net payer fractions combined as
a function of i are also monotonically increasing. Proceeding like above we fix all growth rates on the left
hand side at i = n − 1 and at i = n for the right hand side
term of equation (16). After rearrangements and simplifications we obtain inequality (17).
1≤
ð1 þ ΔaY Þð1 þ d N Þ
ð1 þ r Þ
ð17Þ
This inequality (17) holds true if ΔaY, dN, r ≥ 0 and
ΔaY ≥ r or dN ≥ r. Because demographic changes are
likely to increase ΔaY, the return rate on the right-hand
side of the equal sign is also expected to become larger,
all other things equal.
In summary, the models developed in this section suggest that, all other things equal,
insured will on average receive more (discounted)
payments out of the risk adjustment fund than they
will have contributed over a lifetime,
and that the expected demographic changes are
likely to have an increasing effect on the return rate.
How can the solidarity burden be redistributed?
The calculations from the basic models suggest that, if
unchecked, the solidarity burden for young adults will
continue to grow at high rate, which is mainly due to
health care expenditure growth among older generations. While those younger generations may still be net
beneficiaries of risk adjustment payments over lifetime,
their owed risk adjustment debt may nonetheless overwhelm their financial means (cf. [22]). In Switzerland,
one such vulnerable group are the young adults aged
19–25 years, which are entitled to premium reductions
by law. This relaxation from the community-rate principle was introduced to provide relief for young adults
who have limited disposable income. However, by 2011
those rebates have all but disappeared [22]. As already
observed by Beck in 2004 [23], the reason for those
diminishing rebates is that the Swiss risk adjustment
scheme ignores the possibility for premium reductions
to young adults and overcharges this age group. This
problem has been recognized by federal authorities (e.g.
[24]), but no convincing solutions have been presented
so far. In particular, many proposed solutions neglect
that any reduction of solidarity transfers (be it as a premium reduction or a reduction of risk adjustment contributions) must be compatible with risk adjustment
so as not to induce selection incentives for insurers.
McGuire et al. [25] and Beck et al. (Beck K, Buchner F,
van Kleef R, von Wyl V: Theory of risk equalization: Are
we on the wrong track? submitted) have provided methodologies for how to limit solidarity transfers within risk
adjustment systems. In line with their suggestions we develop a method that can correct for the expected shifts
in demography and keep solidarity contributions for specific age groups stable over time. To this end, we introduce two additional parameters in the model described
by equation (7).
γ = Growth factor determining an upper limit of risk
adjustment payment growth. For example, this parameter can be used to decouple risk adjustment contribution growth for young adults from the growth rate of the
remaining adults, which is the main driver for the observed increases in younger age groups (c.f. Results).
ρ = Factor for reduction of risk adjustment payments
(e.g. a premium rebate for young adults). In addition to
the stabilization by γ a further reduction of nominal payments can be granted. For example, in Switzerland it is
currently discussed to charge only 50% of the nominal
risk adjustment contributions from 19 to 25 year old individuals (i.e. ρ = 0.5) [22].
Solution for two risk adjustment groups
In general, the reductions are implemented by subtracting
an amount ut from the nominal RA-payment aYt (defined
in Equation 7) so that current RA-payments (at time t) for
young adults after correction are equivalent to a baseline
payment times a pre-specified growth rate γ.
aY0 ð1 þ γ Þt ¼ aYt −ut
ð18Þ
Solving for ut yields equation (19).
ut ¼ aYt −aY0 ð1 þ γ Þt
ð19Þ
Corrected payments as defined by (18) can be modified further by a second parameter ρ that defines the
rebate (<1) on nominal RA payments for specific groups
(e.g. 50% to 19 to 25 year olds). This reduction is applied
to the stabilized risk adjustment contribution aY0 ð1 þ γ Þt
for young adults defined in (18), and then equation (19)
becomes
ut ¼ aYt −ρaY0 ð1 þ γ Þt :
ð20Þ
Thus, the degree of fairness is determined by the parameters γ and ρ. The full equation for reduced intergenerational risk adjustment transfers in young adults
reads as
ãtY ¼ aYt − ut ¼ ρaY0 ð1 þ γ Þt
ð21Þ
For the transfers to sum to zero the payments benefitting older generations must also be shortened by a certain amount. We denote this deduction by vt.
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ãtA ¼ aAt − vt
Page 8 of 14
ð22Þ
Moreover, we set the restriction that the sum of intergenerational transfers between young adults and adults
must equal to zero according to equation (23)
1 − pYt aAt − vt þ pYt aYt − ut ¼ 0
ð23Þ
A
Solving for at −vt and plugging into (22) yields expression (24)
ãtA ¼ −
pYt
ρaY0 ð1 þ γ Þt ;
1 − pYt
ð24Þ
which corresponds to the new intergenerational risk adjustment payment of young adults to adults.
An extension of the reasoning in this section to several
age groups is given in Appendix A.2. Additionally, in
Section A.3 of the appendix we show that the lifetime
balance of payments stays positive even after reductions
of risk adjustment for specific young age groups.
Results
Retrospective analysis of intergenerational solidarity
transfers in Switzerland
Next, we illustrate the mathematical models defined by
equations (7) and (16) from the methods sections by retrospectively analyzing solidarity transfers between generations over the period of 1996 to 2011 within Swiss
risk adjustment. As an example, we center this and the
following analysis on the group of young adults aged
19–25 years, and the rationale for that decision is detailed in the methods section and in a companion paper
(von Wyl V, Beck K: Distribution of premium burden for
mandatory health insurance in Switzerland, submitted).
To inform the models we used data from the official
Swiss risk adjustment statistics 1996 through 2011 [21],
which are displayed in Table 1. The second column
shows the proportion of young adults in the Swiss population of individuals older than 18 years. Over the 15 year
observation period this proportion has decreased by
0.8% points, thus the share of young adults has shrunken
slightly. Columns 3 and 4 show average costs for the
two age groups, whereas columns 5 and 6 represent relative changes using 1996 as the base year (100%). Overall,
health care expenditures for young adults have increased
by 32% at an average growth rate of 1.88% and even by
78% for adults older than 25 years (average growth rate
3.94%).
Over time, intergenerational risk adjustment payments
for young adults have risen from CHF 87 per month in
1996 to CHF 182 in the year 2011 (Table 1, column 7).
Yet the effect of those solidarity transfers on the adults’
side remained rather small. In 1996 each adult received
CHF 11 per month in solidarity transfers from 19 to
25 year olds. Fifteen years later those payments have
only risen by CHF 10 to a total of CHF 21 per month
(Table 1, column 8). Overall the solidarity burden for
young adults has experienced the highest absolute
Table 1 Evolution of risk adjustment transfers between 1996 and 2011
Health care expenditures
Cost increase
(CHF per month)
(base year 1996)
Monthly risk adjustment
payment into (<0) or
from (>0) the fund
Year
Proportion of young adults
Young adults
Adults
Young adults
Adults
Young adults
Adults
1996
11.1%
61
159
100%
100%
−87
11
1997
10.8%
61
166
101%
105%
−94
11
1998
10.6%
61
175
101%
110%
−101
12
1999
10.6%
62
181
101%
114%
−107
13
2000
10.5%
65
192
106%
121%
−114
13
2001
10.4%
68
203
111%
128%
−121
14
2002
10.5%
69
210
113%
133%
−127
15
2003
10.5%
71
220
117%
139%
−133
16
2004
10.5%
73
234
121%
147%
−143
17
2005
10.5%
75
246
123%
155%
−153
18
2006
10.4%
72
247
118%
156%
−157
18
2007
10.3%
73
257
120%
162%
−165
19
2008
10.3%
76
267
125%
169%
−172
20
2009
10.3%
79
275
129%
173%
−176
20
2010
10.3%
80
280
131%
177%
−180
21
2011
10.3%
80
283
132%
178%
−182
21
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growth of any age groups between 1996 and 2011, but
with little effect for adults due to the demographic constellation (i.e. much more adults than young adults).
Next, we investigated the importance of the three
model parameters (ΔY, ΔA , dY) for the increase of solidarity payments by young adults. Following the discussion
of partial derivatives in Appendix A.1 (equations (A.1.1)(A.1.3)) we quantified the magnitude of change of RA
payments for a one unit parameter increase. To this end
we used health care expenditures in 2011 and averages
of cost growth and demographic change rates over the
15 year observation period for calculations (Table 1),
which yielded values of CHF 21.75, CHF −254.0 and
CHF 72.20 for dy, ΔA and ΔY, respectively. In other
words, solidarity payments owed by young adults are
most sensitive to health care expenditure growth among
adults, whereas shifts in population composition (i.e.
fewer young adults) seem to play a less important role.
This finding was confirmed when we performed correlation analyses of observed annual changes in dy, ΔA
and ΔY with observed increases in RA contributions of
young adults ΔaY. While spearman correlations of ΔaY
with dy (rho = −0.45) and ΔY (rho = 0.11) did not reach
statistical significance, the HCE growth rate of adults ΔA
showed a strong, statistically significant correlation with
ΔaY (rho = 0.81, p-value < 0.001).
Along those lines we decomposed the impact of demography on the cumulative observed increase of risk
adjustment payments between 1996 and 2011 using
equation (7). Over this time period the monthly risk adjustment contribution rose by CHF 95 for young adults
(Table 1, column 7). The demography-dependent term
of equation (7) sums to CHF 2, whereas the independent
terms amount to CHF 93. Thus, 98% of the increase was
driven by health care expenditure growth and only 2%
were attributable to demographic changes, meaning the
decreasing proportion of young adults in the population.
How will solidarity transfers develop in the future?
Based on the algorithms for RA modifications developed
in the methods section and on data presented in Table 1
we performed projections of solidarity transfers between
young adults and adults 15 years into the future, starting
in 2011 and ending in 2026. Moreover, we tested the impact of two different reform suggestions to relief the premium burden for younger generations. This was done by
repeated stochastic simulations based on equation (7). In
particular, we used the cost and demography information for the year 2011 from Table 1 as baseline and progressed stepwise in 1 year intervals into the future by
randomly selecting, for each analysis year, HCE growth
parameters for young adults and adults from the distribution of growth rates observed between 1996 and 2011
(assuming that they came from a Gaussian distribution).
Page 9 of 14
The parameter values for the demographic change dy
stemmed from predictions of demographic changes in
Switzerland [26] (conservative scenario) and was held
fixed at dy = −0.01234 per year. Subsequently, HCE and
risk adjustment contributions were calculated. Each simulation run, consisting of the full 15 year observation
period, was repeated 10′000 times.
We explored three scenarios. The first scenario represents the status quo (before the 2012 risk adjustment reform) without any post-hoc modifications of nominal risk
adjustment transfers. For the second scenario risk adjustment contributions by young adults were stabilized to increase only with their own HCE growth rate (1 + ΔY)t (note
that alternate choices could consider income growth).
Thus restriction (18) becomes aY0 ð1 þ ΔY Þt ¼ aYt −ut .
In the third scenario the risk adjustment payments
were further reduced by 50% after capping growth (i.e.,
γ = ΔY and ρ = 0.5), which yields the condition 0:5aY0
ð1 þ ΔY Þt ¼ 0:5 aYt −ut .
The results of those simulations are displayed in
Figure 2. The solid lines represent the status quo scenario
and suggest that solidarity contributions by young adults
(blue line) will grow steadily at a greater-than-linear rate
from CHF −182 in 2011 to CHF −378 [95% simulation
interval −322; −439] in 2026. In contrast, per-capita contributions received by older generations will increase only
moderately from CHF 21 in 2011 to CHF 35 [30; 41] in
2026. The second scenario, which includes a stabilization
of RA growth for young adults (dotted line) leads to risk
adjustment payments of −244 [−205; −287] by young
adults in 2026, whereas adults would receive CHF 25 [21;
30]. If additional reductions on risk adjustment (here:
50%) were granted to young adults this would lead to a
solidarity burden of −122 [−103; −143] (starting from
CHF −91 in 2011), and adults would receive monthly contributions of CHF 13 [11; 15] (up from CHF 10 in 2011).
Along the same lines we modeled lifetime redistribution through risk adjustment. In particular, we simulated
the life cycle of a 19 year old insured starting in 2011
and progressed in one year steps towards the age of 82
(average life expectancy in Switzerland for the year 2011
[27]). Using risk adjustment contributions of the year
2011 as a basis we modeled yearly cost increases for all
15 age groups (by drawing random yearly growth rates
from a multivariate normal distribution that was informed
with observed cost increases for each age group [21]). All
age-specific risk adjustment transfers were summed up
and discounted at 3%. In total, 10′000 such life cycles
were simulated and repeated for the two different reform
suggestions.
Overall, those simulations suggest that for the baseline
scenario discounted payments of CHF 83′164 are made
into the fund and CHF 114′707 are received out of the
von Wyl and Beck Health Economics Review 2014, 4:7
http://www.healtheconomicsreview.com/content/4/1/7
Page 10 of 14
Figure 2 Projections of risk adjustment transfers from young adults to adults. Monthly intergenerational risk adjustment transfers of young
adults (blue lines) and adults older than 25 years (red lines). The solid lines project transfers without any modifications, and the dashed lines show
hypothetical transfers after capping transfer growth for young adults by their health care expenditure growth rate.
fund (difference CHF 30′761 [12′091, 55′467]). When
capping risk adjustment payment growth at 2% for
young adults the net surplus dropped to CHF 17′069 [2′
336, 36′833]. If an additional rebate of 50% on stabilized
risk adjustment payments is granted to young adults,
then the lifetime balance of discounted payment increased to CHF 19′030 [4′297, 38′795] compared with
the scenario without rebate in addition to stabilization.
Discussion
The view that Western societies will have to face rising
healthcare expenditures because of population aging is
largely uncontested. Increasing health costs are also observed in Switzerland, which has led to shifts in solidarity transfers over the past years as witnessed by the
doubling of risk adjustment payments made by young
adults since 1996. In this paper we have analyzed those
intergenerational solidarity transfers between young and
old via a mathematical model and estimated the lifetime
balance of discounted risk adjustment transfers.
We observed that population aging continuously tends
to increase risk adjustment contributions from younger
generations. In a model analysis informed by data from
Swiss risk adjustment and focusing on young insured
aged 19–25 years we found that disparate health care
utilization patterns between young and old insured were
at the base of the problem of rising solidarity transfers
from young adults to older generations. While health
care expenditures for young adults grew only moderately, cost growth was almost twice as high among all
adults aged 26 years and more. This development has
widened the gap of health care expenditure levels between the two age groups. Since risk adjustment operates at closing the gap in order to prevent risk selection,
this mechanism has led to increasing intergenerational
solidarity payments owed by young adults.
But how problematic is the rising solidarity burden for
younger insured? As for Switzerland, we believe that
there is ample societal justification for lowering the burden of risk adjustment payments for young adults aged
19 to 25 years. First and foremost, the current legislation
is inconsistent with regards to solidarity contributions by
young adults. While the law explicitly allows premium reductions for 19 to 25 year olds, risk adjustment legislation
demands that all insured aged 19 and more are treated
equal, thus leaving no room for premium rebates.
Second, as outlined in detail in [22], there is mounting
evidence that young adults may not be able to carry
their solidarity burden, which leads to inefficiencies and
inequalities in health financing. Data presented in the
companion paper suggest that young adults have to rely
heavily on their parents for health insurance premium financing. Along the same lines, the proportion of young
adults who are eligible for premium subsidies has risen
(although not steadily) from 41% in 2000 (the first year
with detailed statistics available) to 44% in 2011 [16].
Third, voting data also presented in the companion paper
suggest that the current system with strictly communityrated premiums reflects preferences of net contributors,
and young adults in particular, less well than those of
older generations who benefit from intergenerational solidarity in the status quo situation (von Wyl V, Beck K:
Distribution of premium burden for mandatory health insurance in Switzerland, submitted). It is furthermore remarkable that older generations of today contributed less
to solidarity at younger age because of partially age-rated
premiums and the possibility for opting-out prior to the
reform in 1996.
von Wyl and Beck Health Economics Review 2014, 4:7
http://www.healtheconomicsreview.com/content/4/1/7
Finally, it can be argued that the demographic changes
and the observed steepening of cost growth across age
gradients represent new developments that were not
part of voters’ expectations at the time of the referendum for the new health insurance act implemented in
1996, which introduced community rating and a health
insurance mandate.
Taken together, those trends have the potential to endanger the generational contract, because they can lead
to overwhelming solidarity transfers from young to old
(as shown by our model) and thus deteriorate the acceptance of the community-rating principle among the
young. Such tendencies are already observed in surveys
on the Swiss pension system, which is also under pressure as a result of the demographic change [28].
Consequently, the subject of lowering the growing
financial burden of social health insurance for young
insured has gained political momentum and has even
found its way on the regulator’s agenda. Several reform
suggestions have been discussed in the news media, ranging from excluding young adults from risk adjustment,
abolishment of premiums for children to relieve young
families, or the introduction of new premium age groups
for individuals above 50 years to levy more health insurance costs on older generations. What is rarely considered in those suggestions, however, is that in settings
with internal risk adjustment (as in Switzerland) such rebates must either be implemented through risk adjustment itself or must at least be reflected, otherwise new
selection incentives are created. The premium rebates
for young adults are an example of an inconsistent regulation that collided with risk adjustment and led to unwanted results [22].
Within this study we have developed a framework for
how such reforms of health premium financing could be
implemented in a consistent manner, and we have investigated possible effects on the balance of lifetime risk
adjustment payments. We argue that any premium reductions must be implemented directly at the level of
risk adjustment payments, thereby giving insurers the
possibility to pass on those risk adjustment reductions
as premium rebates to young adults. In that regard our
method resembles the work of McGuire et al. [25]. Our
approach extends theirs by further introducing the concept of stabilization of payments at predefined levels
over time. For example, as our analysis has shown risk
adjustment payments by young adults increase at a rate
that is approximately proportional to health care expenditure growth in older age groups. Without stabilization intergenerational risk adjustment contributions may
otherwise soon again rise to levels that exceed disposable
means of young adults.
Despite an ever growing solidarity burden, over lifetime the younger generations of today can still expect a
Page 11 of 14
net gain from risk adjustment, all other things equal and
given that the current level of health care can still be financed in the future. Interestingly, the models suggest
that the expected demographic changes may even increase their lifetime rate of return on risk adjustment
contributions. As the share of older insured increases
over time, former net-recipients of funds from risk adjustment may turn into net-contributors, and therefore
the number of net-payers into the fund increases. For
example, the group of 51 to 55 year old women still received a small payment from the fund in 1996, whereas
15 years later the same age group has become a net-payer.
In addition, the observed greater average HCE growth
for older age groups compared with young adults further
increases the return rate of risk adjustment. Similar results
are known from modelling studies of pay-as-you-go social
security systems [20,29] or health insurance [30], which
found the rate of return also to be dependent on cost
growth among older generations (i.e. recipients of payments) and/or increases in the proportion of net payers.
Interestingly, an application of generational accounting for
health financing to Switzerland corroborates our observation that currently young generations will receive more
payments from social health insurance than they will have
to contribute over a lifetime [31]. But when these authors
performed a more comprehensive analysis including all
money streams for health financing the lifetime balance of
payments turned negative for several younger age groups.
Although developed for the Swiss setting, our models
of demographic effects on risk adjustment and on the
life-time balance of transfers also apply to other countries with risk adjustment, such as the Netherlands or
Germany. But since both countries raise premiums for
mandatory insurance in an income-dependent manner,
the direct effects of demographic changes on risk adjustment will be less felt than in Switzerland (whereas
health financing of those countries will be more affected
by the expected decrease of the ratio of active to retired
workers).
Similar to our framework for controlling age-dependent
solidarity transfers, the U.S. has implemented a rule that
age-based premiums are only allowed to vary within a ratio of 3 (oldest age group) to 1 (youngest) [25]. In contrast,
solidarity restrictions between age groups as a means to
improve equity are usually not needed in settings with
income-dependent premiums.
However, our modelling findings hinge on assumptions regarding rates of risk adjustment growth, the proportion of net payers, and discount rates. Also, further
modifications to risk adjustment such as the planned
introduction of pharmaceutical cost groups in Switzerland
will have a yet unclear impact on the balance. For example, the proportion of net payers pN may suddenly change
if additional morbidity criteria are introduced into the risk
von Wyl and Beck Health Economics Review 2014, 4:7
http://www.healtheconomicsreview.com/content/4/1/7
Page 12 of 14
adjustment model. Moreover, the impact of population
aging on the parameters ΔaY and pN is not continuous and
difficult to predict in the long run. An aging population
drives up the population average of HCE from which risk
adjustment contributions are measured, and age groups
which have formerly received payments from risk adjustment may become net-contributors in subsequent years.
Finally, our model focused only on risk adjustment payments and ignored any other components of health financing such as direct and indirect taxes, private insurance,
and premium subsidies. Furthermore, it should be noted
that our model does not address issues of sustainability
and affordability of health finance. Generational accounting may offer suitable tools for such more comprehensive
analyses [32].
Conclusions
In summary, the framework developed in this paper may
help to construct a more equitable system of health financing in light of population aging and to strengthen
the acceptance of the intergenerational contract in social
health insurance systems with community-rating.
Appendix
A.1 Analysis of change rates
We now analyze equation (7) by calculating the partial
derivatives of aY1 −aY0 with respect to the variables
dY, ΔY, ΔA.
Y ð1 þ Δ Y Þ
A ð1 þ ΔA Þ−C
∂ aY1 −aY0 =∂d Y ¼ pY C
ðA:1:1Þ
This partial derivative (A.1.1) indicates that changes in
risk adjustment contributions resulting from demographic trends are also dependent on the absolute difference of cost levels between young adults and adults at
time t=1. Because HCE and growth rates of adults are
A ð1 þ ΔA Þ > C
Y
larger than those of young adults, i.e. C
ð1 þ ΔY Þ expression (A.1.1) is positive. Going back to
equation (7) describing the change in risk adjustment
payments for young adults it becomes apparent that an
increase in the proportion of young adults by dY reduces
their risk adjustment debt, because this will make expression (7) less negative.
The partial derivative with respect to HCE growth for
adults is as follows.
A
∂ aY1 −aY0 =∂ΔA ¼ d Y pY þ pY −1 C
ðA:1:2Þ
As long as pY represents a minority this expression is
negative since (dYpY + pY − 1) < (2pY − 1) < 0, which means
that all other things equal a one unit increase in HCE
growth for adults leads to an increase of the risk adjustment debt for young adults.
Equation (A.1.3) shows the partial derivative with respect to HCE growth in young adults.
Y
∂ aY1 −aY0 =∂ΔY ¼ − d Y pY þ pY −1 C
ðA:1:3Þ
Expression (A.1.3) has the inverse sign of (A.1.2).
Thus, all other things equal, a one unit increase in HCE
growth for young adults decreases their risk adjustment
debt.
A.2 Solidarity reductions for several risk adjustment
groups
The algorithm described in equations (18)-(24) can also
accommodate reductions for several age groups i = 1,..,m.
For the simple case where modifications of RA transfers
only apply to net contributors to risk adjustment this can
be written as
ãi;t ¼ ai;t − ui;t
ðA:2:1Þ
for age groups i = 1,..,m.
The solidarity cap is implemented according to equation
(21), whereby ρi is set to 1 if no post-hoc modifications
to risk adjustment payments are applied. Likewise, if
no modifications to γi apply then it can simply be set
to 0.
t
ui;t ¼ ai;t − ρi ai;0 1 þ γ i
ðA:2:2Þ
Next, we derive the solidarity transfers for older age
groups m+1 to 30. We denote those groups of beneficiaries from intergenerational solidarity transfers by subscript
r and treat them as one group (for sake of simplicity). As
in the simple case with only two age groups discussed
above the sum of intergenerational solidarity transfers
must equal to 0 in internal risk adjustment systems, and
therefore the new transfers from young insured to the
(old) reference group can be written as
ãr;t ¼ −
Xm xi;t
t
ρi ai;0 1 þ γ i ;
i¼1 x
r;t
ðA:2:3Þ
with r symbolizing the reference population consisting
of all m+1,…,30 remaining groups and the variables xi,t
and xr,t being the number of individuals in group i and
the reference group r, respectively.
Modifications of transfers within recipients of RA payments (e.g. higher payments for specific age groups) are
also possible, but they require an additional calculation
step, in which the total volume of intergenerational RApayments from younger age groups are redistributed
within older generations. This can be achieved, for each
age group j = m+1 to 30, by defining weights wj,t according to equation
von Wyl and Beck Health Economics Review 2014, 4:7
http://www.healtheconomicsreview.com/content/4/1/7
wj;t ¼
xj;t
πj
X30
xr;t
π
j¼mþ1 j
;
Page 13 of 14
ðA:2:4Þ
whereby πj denotes the group specific factor (analogous
to ρi).
A.3. Implication of restricted solidarity for lifetime
redistribution
How is the lifetime balance of payments into and from
the risk adjustment fund affected by the modifications
proposed in equations (18) to (24)? As defined by equation
(18) rebates are defined as a reduction of nominal payments. By use of inequality equation (16) the lifetime balance in settings with premium reductions for specific age
groups g (which also correspond to specific time periods
as an individual transits through all age groups over lifetime) can therefore be defined by
TnN − aY0
X
ð1 þ ΔaY Þi ð1 þ d N Þi
i∈g
1
ð1 þ r Þi
"
n−i
n
2
#
n − ð i þ 1Þ 2
−
ρi
n
ðA:3:1Þ
1
≤T Pnþ1 − aY0 ð1 þ ΔaY Þnþ1 ð1 þ d Y Þnþ1
nþ1
"
# ð1 þ r Þ
2
2
X n−j
n − ðj þ 1Þ
−
ρj
n
n
j∈g
Note that the indices i and j have somewhat different
interpretations. The left-hand side of equation (A.3.1)
sums up all payments made over n time periods, and
hence i refers to time. The right hand side of equation
(A.3.1) represents, according to our convention, the volume of all contributions made by net payers at time
n+1. Hence the parameter j has the interpretation of
age groups. This distinction does not alter the conclusions, however.
We have already demonstrated that the inequality
N
T n ≤T Pnþ1 holds if the combination of growth rates yields
a monotonically increasing function. Therefore we only
have to proof that the reductions up to period n are
smaller than the sum of all reductions at time point
n+1. We will first demonstrate this for constant, timeindependent reductions ρ. Since all factors before the sum
sign combined are monotonically increasing we can fix i
at n for all growth rates on the left-hand side of equation
(A.3.2), which makes them constant.
aY0 ð1
"
#
X n − i2 n − ði þ 1Þ2
1
ρi
þ ΔaY Þ ð1 þ d N Þ
−
ð1 þ r Þn i∈g
n
n
n
n
ðA:3:2Þ
1
ð1 þ r Þnþ1
#
≤ aY0 ð1 þ ΔaY Þnþ1 ð1 þ d Y Þnþ1
"
X n − j2 n − ðj þ 1Þ
−
n
n
j∈g
2
ρj
Because all elements of the sums over i and j are timeindependent and the same on both sides of the equation
they can be dropped. Thus, the remaining inequality
must hold true given our assumption of monotonically
increasing growth terms in combination.
Using the same approach, it is simple to demonstrate
that the inequality also holds when growth of aY0 is
capped by a pre-defined, positive growth rate γi (by replacing the parameter ΔaY in equation (A.3.2), proof not
shown).
Competing interests
VVW and KB are employees of CSS Insurance, Switzerland, but the employer
had no role in study design, analysis, manuscript preparation or decision to
publish.
Authors’ contributions
VVW and KB conceived the study. VVW developed the methods, conducted
the analyses and wrote the manuscript. KB revised it critically for important
intellectual content. Both authors read and approved the final manuscript.
Acknowledgements
The authors wish to thank Florian Buchner, Jürgen Wasem and two
anonymous reviewers for helpful comments.
Author details
1
CSS-Institute for Empirical Health Economics, Tribschenstrasse 21, 6002
Luzern, Switzerland. 2Institute for Social and Preventive Medicine, University
of Bern, Finkenhubelweg 11, 3012 Bern, Switzerland. 3Department of
Economics, University of Zurich, Blümlisalpstrasse 10, 8006 Zurich,
Switzerland.
Received: 17 July 2013 Accepted: 24 January 2014
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Cite this article as: von Wyl and Beck: Risk adjustment in aging societies.
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A Review on Breathing Behaviors of Metal-Organic-Frameworks (MOFs) for Gas Adsorption
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Materials 2014, 7, 3198-3250; doi:10.3390/ma7043198 Materials 2014, 7, 3198-3250; doi:10.3390/ma7043198 materials
ISSN 1996-1944
www.mdpi.com/journal/materials
OPEN ACCESS Materials 2014, 7 Materials 2014, 7 3199 1. Introduction Metal-organic frameworks (MOFs) are a new class of crystalline microporous materials that exhibit
tunable functionalities, large surface areas, framework flexibility, catalytic activities [1], and gas
separation capability among others [2]. Their frameworks are formed by the covalent linkages between
metals or metal oxides and organic moieties. Even though, compared with zeolites, MOFs suffer a
major drawback of relatively lower thermal stability, the flexible structure of MOFs contrast to rigid
zeolite frameworks, yielding the unique breathing phenomena or gate-opening effect. The pore
diameter of MOFs enlarges or shrinks while external stimuli are applied or removed, such as gas
molecules, solvents, or pressure [3]. The features of breathing phenomena and large surface areas
enable MOFs suitable materials for applications in green and renewable energy as media of gas
storages, sensing and separation [4–6]. Scientists and engineers strive to understand and substantiate
the origin of the framework flexibility such that properties of MOFs can be designed at the synthesis
stage. Given that a large variety of MOFs family and publications, this review focuses on summarizing
the MOFs’ breathing effect, to which a hydrothermal synthesis route is applied. Readers can find more
information in a critical review published recently by Férey’s group, in which the authors elucidated
rationales of the breathing effects [7]. This review article will describe the breathing phenomena
of MOFs in following sequences: (1) definition of MOFs and summary of synthesis conditions;
(2) summary of MOFs exhibiting the breathing phenomena; (3) post-synthetic medication to alter
breathing phenomena; (4) outlooks of MOFs’ breathing phenomena. Mays Alhamami, Huu Doan and Chil-Hung Cheng * Department of Chemical Engineering, Ryerson University, 350 Victoria Street, Toronto,
ON M5B 2K3, Canada, E-Mails: mays.alhamami@ryerson.ca (M.A.); hdoan@ryerson.c Department of Chemical Engineering, Ryerson University, 350 Victoria Street, Toronto,
ON M5B 2K3, Canada, E-Mails: mays.alhamami@ryerson.ca (M.A.); hdoan@ryerson.ca (H.D.) * Author to whom correspondence should be addressed; E-Mail: chilhung.cheng@ryerson.ca;
Tel.: +1-416-979-5000 (ext. 2131); Fax: +1-416-979-5083. Received: 1 March 2014; in revised form: 31 March 2014 / Accepted: 11 April 2014
Published: 21 April 2014 Received: 1 March 2014; in revised form: 31 March 2014 / Accepted: 11 April 2014
Published: 21 April 2014 Abstract: Metal-organic frameworks (MOFs) are a new class of microporous materials
that possess framework flexibility, large surface areas, “tailor-made” framework
functionalities, and tunable pore sizes. These features empower MOFs superior
performances and broader application spectra than those of zeolites and phosphine-based
molecular sieves. In parallel with designing new structures and new chemistry of MOFs,
the observation of unique breathing behaviors upon adsorption of gases or solvents
stimulates their potential applications as host materials in gas storage for renewable energy. This has attracted intense research energy to understand the causes at the atomic level,
using in situ X-ray diffraction, calorimetry, Fourier transform infrared spectroscopy, and
molecular dynamics simulations. This article is developed in the following order: first to
introduce the definition of MOFs and the observation of their framework flexibility. Second, synthesis routes of MOFs are summarized with the emphasis on the hydrothermal
synthesis, owing to the environmental-benign and economically availability of water. Third,
MOFs exhibiting breathing behaviors are summarized, followed by rationales from
thermodynamic viewpoint. Subsequently, effects of various functionalities on breathing
behaviors are appraised, including using post-synthetic modification routes. Finally,
possible framework spatial requirements of MOFs for yielding breathing behaviors are
highlighted as the design strategies for new syntheses. Keywords: metal-organic frameworks (MOFs); breathing; gas adsorption; gas storage;
flexibility; post-synthetic modifications (PSM) 2. What Are MOFs? Metal-organic frameworks (MOFs), or called metal-ligand coordination polymers, are organic-inorganic
hybrid extended networks that are constructed via covalent linkages between metal ions/metal clusters
and organic ligands. The strategies of forming versatile frameworks utilize the principles of reticular
synthesis [8]. The majority of metal ions/metal clusters are transition metals with various geometries,
due to their versatile coordination numbers. These geometries include square–planer, tetrahedron, and
octahedron among others [9]. The organic ligands contain halides, cyanides, neutral organic molecules
(4,4′-bipyridine), and anionic organic molecules (benzenedicarboxylic acid). Each constituent is
schematically drawn in Figure 1. Together, both organic and inorganic components can form
n-dimensional (n = 1, 2, and 3) motifs which show flexibility upon interactions with guest molecules,
schematically shown in Figure 2 [7,10–12]. Kitagawa’s group classifies three types of MOFs exhibiting flexibility [10]. For the first type, rigid
2D layers are covalently connected by flexible pillars. Upon the absorption of guest molecules, the
elongation of pillars leads to the expansion of frameworks. Vice versa, frameworks shrink upon the
removal of guest molecules (Figure 2a). Regarding the second type, the framework topology remains
the same upon the adsorption of guest molecules. The rotation of organic moieties, caused by strong
guest-host interactions, induces the volume change (Figure 2b). In the case of the third type, the
interpenetrated 3D grids slide apart, causing the pores open or close upon the adsorption of guest
molecules (Figure 2c). Materials 2014, 7 3200 Materials 2014, 7 eometrics of metal ions and organic ligands. Reprinted with permission from [9]. Figure 1. Geometrics of metal ions and organic ligands. Reprinted with permission from [9]. Copyright 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Copyright 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Figure 2. The illustration dynamic behaviors of the metal-organic frameworks’ (MOFs)
structure upon interacting with guest molecules. (a) 2-dimension; (b) 1-dimension;
(c) 3 dimension. Red spheres stand for the metals; lines stand for the organic linkers. Reprinted with permission from [11] Copyright 2013 American Chemical Society Figure 2. The illustration dynamic behaviors of the metal-organic frameworks’ (MOFs)
structure upon interacting with guest molecules. (a) 2-dimension; (b) 1-dimension;
(c) 3 dimension. Red spheres stand for the metals; lines stand for the organic linkers. Reprinted with permission from [11]. Copyright 2013 American Chemical Society. Figure 2. The illustration dynamic behaviors of the metal-organic frameworks’ (MOFs)
structure upon interacting with guest molecules. (a) 2-dimension; (b) 1-dimension;
(c) 3 dimension. 2. What Are MOFs? Red spheres stand for the metals; lines stand for the organic linkers. Reprinted with permission from [11]. Copyright 2013 American Chemical Society. 3201 Materials 2014, 7 Materials 2014, 7 The first coordination polymer, Ni(CN)2(NH3)·C6H6, was synthesized by Hofmann and Küspert
in 1897 [13], called Hofmann Complex. The coordination polymer was formed by reacting slowly of
C6H6 with Ni(CN)2 in a NH3 solution. The structure of coordination polymer was later refined using
X-ray crystallography, as a two-dimensional layer structure formed by covalent linkages between Ni
and CN groups [14]. The parallel layers are held up by extruding NH3 groups, forming interplanar
cavities in which reside benzene molecules. The work inspired research towards designing various
inorganic-organic hybrid polymers using diamines, such as 4,4′-bipyridine. The adoption of longer
chain length of organic linkers in MOFs’ framework enlarged the interplanar space by 33%, from
8.28 Å to 10.9 Å. The framework with longer organic ligands creates larger cavities for
molecule encapsulation. In addition to aforementioned bidentate linear organic molecules, other multidentate organic linkers,
such as 4,4′,4′′,4′′′-tetracyanotetraphenylmethane was first applied by Robson’s group to yield
3-dimensional infinite framework with a large unit cell volume of 4200 Å [15,16], in which about
two-thirds of the volume is occupied by removable solvents molecules. The refined crystallographic
structure is shown in Figure 3. Robson’s work shed the light of controlling the cavity size of MOFs
with predetermined size and shape of inorganic nodes, and organic linkers. Figure 3. Crystallographic structure of coordination polymer, CuI[C(C6H4·CN)4]n. An adamantine-like cavity is highlighted using bold lines. Reprinted with permission
from [15]. Copyright 1989 American Chemical Society. Researches on MOFs have seen explosively increasing since 2000 [9,17]. In the open literature,
there are several families of MOFs systematically synthesized and coined their nomenclatures using
the abbreviation of institution’s name. Pioneer works done by Yaghi and O’Keefe has named their
resulting solids as MOF–n (where n = 1, 2, 3, and etc.) [8]. Others include MILs (Matériaux de
l’lnstitut Lavoisier), HKUSTs (Hong-Kong University of Science and Technology), POST (Pohang
University of Science and Technology), etc. Researches on MOFs have seen explosively increasing since 2000 [9,17]. In the open literature,
there are several families of MOFs systematically synthesized and coined their nomenclatures using
the abbreviation of institution’s name. Pioneer works done by Yaghi and O’Keefe has named their
resulting solids as MOF–n (where n = 1, 2, 3, and etc.) [8]. Others include MILs (Matériaux de
l’lnstitut Lavoisier), HKUSTs (Hong-Kong University of Science and Technology), POST (Pohang
University of Science and Technology), etc. Researches on MOFs have seen explosively increasing since 2000 [9,17]. 2.1. Single-Crystal-to-Single-Crystal (SCSC) Phenomena The application of MOFs on gas adsorption was first reported using a three-dimensional framework:
M2(4,4′-bpy)3(NO3)4·xH2O with M = Co, Ni, Zn and 4,4′-bpy = 4,4′-bipyridine [18]. The MOFs were
synthesized at room temperature for 7 days in an acetone/EtOH mixture. Detail X-ray crystallography
analyses indicated that the Co center forms pentagonal bipyramid geometry, bridged by 4,4′-bpy
organic linkers. The linkage forms infinite 1-dimensional chains with an interdigited, or tongue-and-groove,
structure. The cavities have a window size of 3 Å × 6 Å and 3 Å × 3 Å along a and b axes respectively,
which were suitable for gas adsorption. The authors proposed that the adsorption feature evolved from
the affinity of organic linkers inside the framework cavities. The adsorption properties can be further
fine-tuned via the guest-host interaction using versatile organic linkers [19,20]. Kitagawa’s group adopted various framework regulators, AF6
− anions (A = Si, Ge, and P), to
manipulate selectively the framework connectivity and pore dimensions upon hydrolysis. The resulted
compounds demonstrated a higher adsorption capacity towards methane. It is proposed that the
guest-host interaction and the size exclusion effect between the pore size and kinetic diameters of
adsorbates lead to the selectivity of gas adsorption. However, it is noted that no structure transformation
of MOFs was observed, meaning that the framework exhibits the rigidity upon the adsorption of
gas molecules. The guest-host interaction also accounts for the single-crystal-to-single-crystal (SCSC)
transformation that was first successfully discovered in [Ni2(4,4′-bpy)3(NO3)4]·6EtOH upon the
removal of solvent [21]. Their detail single crystal X-ray diffraction data indicated that the unit cell
volume shrunk 2.3% after encapsulated ethanol was evaporated or removed from the channels while
the framework crystallinity still remains integrated. At room temperature, the adsorptions of H2O,
MeOH, and EtOH of the MOF were demonstrated to be reversible, showing the inhaling-exhaling
cycle, despite the relative small difference of the unit cell volume. A similar behavior was noticed later
using mixed organic ligands, 2,5-dicarboxypyridine (H2pydc) and 4,4′-bipyridine (4,4′-bpy). A MOF
of [Fe(pydc)(4,4′-bpy)]·H2O was synthesized hydrothermally and was characterized as a
non-interpenetrated square-grid structure with a cavity size of 11.5 Å × 8.8 Å [22]. The authors
reported a larger magnitude of volume contraction upon the removal of solvent, 6.6%–8.2%, possibly
owing to strong edge-to-face aromatic π–π stacking interactions between the aromatic groups of pydc
and 4,4′-bpy in adjacent layers [22]. Materials 2014, 7 In the open literature,
there are several families of MOFs systematically synthesized and coined their nomenclatures using
the abbreviation of institution’s name. Pioneer works done by Yaghi and O’Keefe has named their
resulting solids as MOF–n (where n = 1, 2, 3, and etc.) [8]. Others include MILs (Matériaux de
l’lnstitut Lavoisier), HKUSTs (Hong-Kong University of Science and Technology), POST (Pohang
University of Science and Technology), etc. Materials 2014, 7 Materials 2014, 7 3202 2.1. Single-Crystal-to-Single-Crystal (SCSC) Phenomena 2.1. Single-Crystal-to-Single-Crystal (SCSC) Phenomena The doubly-bridged layer structure exhibits its robustness and
sliding of layers during the SCSC transformation. The unit cell volume change of MOF crystals caused by the SCSC transformation becomes
noticeable in {(ZnI2)3(TPT)2·6C6H5NO2}n, where TPT stands for 2,4,6-tris(4-pyridyl)triazine. The
geometry of zinc atoms is tetrahedral, linking to two iodine atoms and two TPT molecules individually. The network adopts a (10,3)-b configuration, in which contains 10 TPT molecules and 10 zinc atoms,
forming an interpenetrated 3-D framework, shown in Figure 4. The randomly-packed nitrobenzene
molecules occupy 60% of the unit cell volume. The Bravais lattice of the interpenetrated framework
changes from monoclinic to triclinic upon the removal of solvent, yielding the unit cell volume
contraction of 20%–23% [23]. The schematic diagram is illustrated in Figure 5. The shrinkage of unit
cell volume is owing to shorter distances between Zn-Zn and ligand-ligand, changing from 6.9 Å to
5.2 Å and 8.2 Å to 5.1 Å respectively. It is noteworthy that the MOF exhibited a reversible swelling 3203 Materials 2014, 7 Materials 2014, 7 behavior as solvent re-entered the channels and showed a wide range of chemical stability upon
exposing to various organic solvents, such as mesitylene, and cis-stilbene among others. This type of
flexibility evolved from the crystal structure transformation is classified as the breathing behavior [24]. Figure 4. The crystal structure of {(ZnI2)3(TPT)2·6C6H5NO2}n. (Left) the net formed by
ten molecules of TPT and ten Zn atoms. (Right) the interpenetrated framework viewed
along the b-axis. C: gray, N: blue, Zn: magenta. Reprinted with permission from [23]. Copyright© 2002 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Figure 5. Schematic drawing of SCSC of {(ZnI2)3(TPT)2·6C6H5NO2}n upon the removal
of nitrobenzene as the guest molecules. The contraction of unit cell volumes is viewed
along the (100) direction. Reprinted with permission from [23]. Copyright© 2002
WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Figure 5. Schematic drawing of SCSC of {(ZnI2)3(TPT)2·6C6H5NO2}n upon the removal
of nitrobenzene as the guest molecules. The contraction of unit cell volumes is viewed
along the (100) direction. Reprinted with permission from [23]. Copyright© 2002
WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. A similar solvent-induced reversible framework transition was reported for MOROF-1,
a mesoporous MOF of which a polychlorinated triphenylmethyl radicals(PTM), functionalized with
hree carboxylic groups (TC), was used as the organic ligand (PTMTC), illustrated in Figure 6a [25]. A similar solvent-induced reversible framework transition was reported for MOROF-1,
a mesoporous MOF of which a polychlorinated triphenylmethyl radicals(PTM), functionalized with
three carboxylic groups (TC), was used as the organic ligand (PTMTC), illustrated in Figure 6a [25]. A similar solvent-induced reversible framework transition was reported for MOROF-1,
a mesoporous MOF of which a polychlorinated triphenylmethyl radicals(PTM), functionalized with
three carboxylic groups (TC), was used as the organic ligand (PTMTC), illustrated in Figure 6a [25]. A similar solvent-induced reversible framework transition was reported for MOROF-1,
a mesoporous MOF of which a polychlorinated triphenylmethyl radicals(PTM), functionalized with
three carboxylic groups (TC), was used as the organic ligand (PTMTC), illustrated in Figure 6a [25]. 3204 Materials 2014, 7 The occurrence of SCSC transformation upon the solvent removal and re-adsorption clearly
indicates the flexibility of metal-organic frameworks. The feature is unique and has not been observed
in rigid porous materials, such as zeolites. Some authors called this phenomena “breathing”, which is
described as a reversible structural transition of organic-inorganic hybrid materials whose unit cell
dimensions experience “large variations (>5 Å)” upon the exposure of external stimuli [26,27]. Given
their framework flexibility and selectivity of solvent re-adsorption, it is generally recognized that the
flexible MOFs would find larger applications in gas separation, sequestration and purification if they
exhibit similar breathing behaviors while gas molecules are external stimuli. Materials 2014, 7 The adoption of the multidentate bulky linkers was designated for the formation of open framework
with even larger pore diameter. The copper metal centers adopt a geometry of square pyramidal
polyhedrons, and link with ligands, forming a two-dimensional honeycomb layer structure (Figure 6b). Different layers are organized via π–π and van der Waals interactions, yielding an open framework
(Figure 6c). The window sizes measured along (001) and (100) directions are about 2.8–3.1 nm and
0.5–0.7 nm, respectively. The MOF experienced a huge volume contraction, 25%–35%, upon the
removal of solvent and became an amorphous closed-pore material. The MOF exhibited high
selectivity towards methanol and ethanol than other several organic solvents upon re-adsorption. Figure 6. (a) The structure of copper(II) tricarboxylate; (b) the connection of building
blocks to form a hexagonal pore structure; (c) the mesoporous structure formed by the
stacking of hexagonal pore structure along (001) direction. Cu atom: orange; C atom: light
blue and violet; O atom: red; Cl atom: green; and N atom: navy. Reprinted with permission
from [25], Copyright 2003 Macmillan Publishers Ltd: Nature Materials. 3205 2.2. Hydrothermal Synthesis versus Solvothermal Synthesis Materials 2014, 7 3206 Materials 2014, 7 Figure 7. (a) Non-interpenetrated structure of [Cd(bipy)(bdc)] formed using low
concentration of reactants; (b) Interpenetrated structure of [Cd(bipy)(bdc)] formed using
high concentration of reactants. Reprinted with permission from [39]. Copyright 2009
American Chemical Society. The pH of starting precursor solutions plays significant roles at the structure of final products as
well. From the system of Al3+/H4btec/H2O/NaOH, where H4btec represents pyromellitic acid, MIL-118
and MIL-121 were formed under low pH environment, while MIL-120 was the preferable phase at
higher pH synthesis conditions [40]. It was proposed, based on detail crystallography analyses, that
corner-sharing [AlO6] octahedra were formed under low pH solutions; however, edge-sharing alumina
polyhedra were observed at high pH environment. The polarity of solvent affects profoundly the final structure formation perhaps via influencing The pH of starting precursor solutions plays significant roles at the structure of final products as
well. From the system of Al3+/H4btec/H2O/NaOH, where H4btec represents pyromellitic acid, MIL-118
and MIL-121 were formed under low pH environment, while MIL-120 was the preferable phase at
higher pH synthesis conditions [40]. It was proposed, based on detail crystallography analyses, that
corner-sharing [AlO6] octahedra were formed under low pH solutions; however, edge-sharing alumina
polyhedra were observed at high pH environment. The pH of starting precursor solutions plays significant roles at the structure of final products as
well. From the system of Al3+/H4btec/H2O/NaOH, where H4btec represents pyromellitic acid, MIL-118
and MIL-121 were formed under low pH environment, while MIL-120 was the preferable phase at
higher pH synthesis conditions [40]. It was proposed, based on detail crystallography analyses, that
corner-sharing [AlO6] octahedra were formed under low pH solutions; however, edge-sharing alumina
polyhedra were observed at high pH environment. The polarity of solvent affects profoundly the final structure formation, perhaps via influencing
the solubility of organic linkers as well as its proteolysis properties [41]. For the system of
Fe3+/H2BDC-NH2/solvent (H2BDC-NH2 = 2-amino-terephthalic acid), only Fe-MIL-88B-NH2 was
formed when acetonitrile and methanol were used as solvents [42]. Only Fe-MIL-53-NH2 was
obtained if water was the solvent. However, a mixture Fe-MIL-88B-NH2 and Fe-MIL-101-NH2 was
isolated when N,N’-dimethylformamide (DMF) was used as the solvent. Similarly, pure Cr-MIL-100
was obtained from Cr3+/H3BTC/H2O system (H3BTC = 1,3,5-benzenetricarboxylic acid), and Cr-MIL-96
co-existed with Cr-MIL-100 when a small quantity of methanol was added into H2O [43]. Further
increase of methanol content led to the formation of pure Cr-MIL-96 phase. 2.2. Hydrothermal Synthesis versus Solvothermal Synthesis Syntheses of Metal-organic frameworks can take place at room temperature, or using solvothermal
synthesis, microwave-assisted synthesis, electrochemical synthesis, or sonochemical synthesis among
others [28,29]. Being the most prevail approach to form novel solid state materials by materials
scientists and chemists, the solvothermal synthesis can be carried out using H2O or organic solvents as
the medium [30]. The majority of this article focuses on the formations of MOFs from aqueous
solutions, in contrast to those from organic solvents, because the former case is easy to scale-up for
mass production, cost-effective, and environmental benign in terms of solvent [31,32]. Solvothermal techniques are widely applied to synthesize novel metal oxides materials from
a reaction mixture inside a closed reaction vessel, under the supercritical temperature of the solvent
which can be either aqueous or organic liquids [33,34]. Some researchers reckon the processes as
hydrothermal syntheses while H2O is used as the solvent [35,36]. The main purposes of solvothermal
techniques are to widen the synthesis avenue for synthesizing new materials as well as to manipulate
the shape of material crystals. Compared with other synthesis methods such as ceramic, sol-gel
techniques, the main advantages of solvothermal techniques are (1) simple one-pot/one-step
preparation/synthesis; (2) ability to control the morphology of material crystals; (3) efficient synthesis
conditions, with milder synthesis temperature and shorter synthesis duration, possibly due to reduced
viscosity and dielectric constants [37]. Syntheses of MOFs originally adopted the precipitation route with careful diffusion control or slow
evaporation of organic ligands and solvent molecules [15]. Later, syntheses of MOFs take up the
solvothermal synthesis pathway which can overcome the solubility and integrity concerns of a desired
secondary building unit (SBU) generated in situ in the reaction mixture. However, the structure of
yielded materials is sensitive to subtle changes in concentration, solvent polarity, pH and temperature. The concentration of starting materials determined the structure of final products. For MOF-5
system, the dilution of reactants leads to the formation of non-interpenetrated structure (IRMOF-10, -12,
-14, and -16), subsequently possessing higher porosity compared with individual concentrated
counterpart [38]. A similar concentration-dependent trend of MOF structure was observed in the
primitive cubic type (pcu) MOF of [Cd(bipy)(bdc)]·3DMF·H2O, whereas bipy = 4,4′-bipyridine, and
bdc = 1,4-benzenedicarboxylic acid, shown in Figure 7 [39]. It is speculated that the formation of
a sub-lattice in the voids of non-interpenetrated structures can be further reduced while lowering
the reactant concentrations. 2.2. Hydrothermal Synthesis versus Solvothermal Synthesis Regarding the
Al3+/H2BDC-NH2/DMF system, a mixture of Al-MIL-53-NH2 and Al-MIL-101-NH2 was observed
when DMF was used as the solvent. However, increasing the H2O content or using H2O as the sole
solvent ensured the formation of pure Al-MIL-53-NH2 [44]. Using in situ X-ray scattering technique
illustrated that the formation of an intermediate phase, MOF-235, stabilized by DMF, leads to the
crystallization of Al-MIL-101-NH2. The presence of H2O causes the hydrolysis of MOF-235 phase,
which subsequently facilitate the formation of Al-MIL-53-NH2. The schematic diagram of propose
mechanism is illustrated in Figure 8. Materials 2014, 7 3207 Materials 2014, 7 Figure 8. Schematic diagram of the effect of solvent polarity on final structure of
MOF. C: gray; H: white; N: blue; O: red; Al: yellow; Cl: green. Reprinted with permission
from [44]. Copyright© 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Figure 8. Schematic diagram of the effect of solvent polarity on final structure of
MOF. C: gray; H: white; N: blue; O: red; Al: yellow; Cl: green. Reprinted with permission
from [44]. Copyright© 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. MOF. C: gray; H: white; N: blue; O: red; Al: yellow; Cl: green. Reprinted with permission
from [44]. Copyright© 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. As scientists and engineers envision the promising performance of MOFs at the gas separation and
purification, syntheses of MOFs at a large scale arises as another challenge and attracts research
ttention [2,45,46]. It is widely recognized that several synthesis concerns have to be circumvented
prior to practical applications, such as synthesis temperature and duration, yield, availability and cost
of starting materials, synthesis steps, and quantity of solvents [28]. The role of solvent becomes critical
nd it is highly desired to minimize or avoid the use of organic solvents. Given this concern, this work
mainly focuses on reviewing the breathing behaviors of MOFs synthesized via the hydrothermal route. It is noteworthy that major MOFs are synthesized using organic solvents, except some MIL series. As summarized in Table 1, it is clearly demonstrated that the applied synthesis temperature is the
highest among MOFs, and the synthesis duration is usually longer than its counterparts synthesized
rom organic solvents, which are summarized in Table 2. As scientists and engineers envision the promising performance of MOFs at the gas separation and
purification, syntheses of MOFs at a large scale arises as another challenge and attracts research
attention [2,45,46]. 2.2. Hydrothermal Synthesis versus Solvothermal Synthesis It is widely recognized that several synthesis concerns have to be circumvented
prior to practical applications, such as synthesis temperature and duration, yield, availability and cost
of starting materials, synthesis steps, and quantity of solvents [28]. The role of solvent becomes critical
and it is highly desired to minimize or avoid the use of organic solvents. Given this concern, this work
mainly focuses on reviewing the breathing behaviors of MOFs synthesized via the hydrothermal route. As scientists and engineers envision the promising performance of MOFs at the gas separation and
purification, syntheses of MOFs at a large scale arises as another challenge and attracts research
attention [2,45,46]. It is widely recognized that several synthesis concerns have to be circumvented
prior to practical applications, such as synthesis temperature and duration, yield, availability and cost
of starting materials, synthesis steps, and quantity of solvents [28]. The role of solvent becomes critical
and it is highly desired to minimize or avoid the use of organic solvents. Given this concern, this work
mainly focuses on reviewing the breathing behaviors of MOFs synthesized via the hydrothermal route. It is noteworthy that major MOFs are synthesized using organic solvents, except some MIL series. As summarized in Table 1, it is clearly demonstrated that the applied synthesis temperature is the
highest among MOFs, and the synthesis duration is usually longer than its counterparts synthesized
from organic solvents, which are summarized in Table 2. It is noteworthy that major MOFs are synthesized using organic solvents, except some MIL series. As summarized in Table 1, it is clearly demonstrated that the applied synthesis temperature is the
highest among MOFs, and the synthesis duration is usually longer than its counterparts synthesized
from organic solvents, which are summarized in Table 2. 3208 Materials 2014, 7 Table 1. MOFs Synthesized from Hydrothermal Conditions. Table 1. MOFs Synthesized from Hydrothermal Conditions. 2.2. Hydrothermal Synthesis versus Solvothermal Synthesis MOF Class
Metal Center
Organic Linker Mineralizing Agent Temperature
(°C)
Time
(h)
Pore Diameter
(Å)
Space Group
Bravis Lattice
Reference
MIL-47
VCl3
BDC
–
200
96
as: 7.9 × 12.0
ht: 10.5 × 11.0
as: Pnma
ht: Pnma
as: orthorhombic
ht: orthorhombic
[47]
MIL-53
Al(NO3)3·9H2O
BDC
–
220
72
as: 7.3 × 7.7
ht: 8.5 × 8.5
lt: 2.6 × 13.6
as: Pnma
ht: Imma
lt: Cc
as: orthorhombic
ht: orthorhombic
lt: monoclinic
[26]
MIL-69
NDC
KOH
210
16
H: 2.7 × 19.4
DeH: 8.5 × 8.5
C2/c
Monoclinic
[48]
MIL-96
BTC
–
210
24
Cavity free: 8.8
Pore opening:
2.5–3.5
P63/mmc
Hexagonal
[49]
MIL-100
Fe metal
HF
160
8
Cage: 25. 29
Window: 5, 9
Fd m
Cubic
[50,51]
HNO3
12
–
–
–
[45]
FeCl3 6H2O
–
Fe(NO3)3 9H2O
Al(NO3)3·9H2O
HNO3
210
3.5
5.2 × 8.8
Fd3m
Cubic
[52]
Cr metal
HF
220
96
Internal: 6.6;
External: 25
[50]
MIL-110
Al(NO3)3·9H2O
HNO3
210
72
16
P6322
Hexagonal
[53]
MIL-118
Al(NO3)3·9H2O
H4BTEC
–
210
24
as: 7.3 × 7.7
ht: 8.5 × 8.5
lt: 2.6 × 13.6
as: C2/c
ht: Pbam
lt: Pnam
as: monoclinic
ht: orthorhombic
lt: rthorhombic
[54]
MIL-120
Al(NO3)3·9H2O
H4BTEC
NaOH
210
24
5.4 × 4.7
C2/c
monoclinic
[55] Materials 2014, 7 3209 Table 1. Cont. MOF Class
Metal Center
Organic
Linker
Mineralizing
Agent
Temperature
(°C)
Time
(h)
Pore
Diameter
(Å)
Space
Group
Bravis
Lattice
Reference
MIL-121
Al(NO3)3·9H2O
H4BTEC
–
210
24
8.7 × 5.7
C2/c
monoclinic
[40]
MIL-122
Al(NO3)3·9H2O
H4NTC
–
210
24
–
P21/c
monoclinic
[56]
Ga(NO3)3·xH2O
*
In(NO3)3·5H2O
CuSO4∙5H2O
L
KBr
85
1.5
Hydrated:
18.99 × 15.14
Dehydrated:
18.56 × 12.81
P
triclinic
[11]
Cu-MOF-
SiF6
CuSiF6
BPED
–
rt
72
13.5 × 13.5
P4/ncc
Tetragonal
[57]
ELM-12
Cu(OTf)2
4,4′-bpy
MeOH
rt
>168
11 × 11.5
Pbna
Orthorhombic
[58]
EtOH
Pn21a
1-PrOH
Pnna
1-BuOH
*
Cu(NO3)3·3H2O
HDHBC
4,4′-bpy
Diethyl ether
rt
a few
days
3.6 × 4.2
P2/c
Monoclinic
[59]
4,4′-bpy = 4,4′-bipyridine; BDC = 1,4-benzene-dicarboxylic acid; BTC = 1,3,5-benzene-tricarboxylic acid; BPED = meso-1,2-bis(4-pyridyl)-1,2-ethanediol;
H4BTEC = 1,2,4,5-benzene-tetracarboxylic acid; H4NTC = 1,4,5,8,-naphthalene-tetracarboxylic acid; HDHBC = 2,5-dihydroxybenzoic acid; L = 4,4′-(1,4-(trans-2-
butene)diyl)bis(1,2,4-triazole); NDC = 2,6-naphthalene-dicarboxylic acid; OTf = trifluoromethanesulfonate; rt: room temperature; * haven’t been named. Materials 2014, 7 3210 Table 2. MOFs Synthesized from Solvothermal Conditions. 2.2. Hydrothermal Synthesis versus Solvothermal Synthesis MOF Class
Metal Center
Organic Linker Solvent
Mineralizing
Agent
Temprature
(°C)
Time
(h)
Pore Diameter
(Å)
Space
Group
Bravis
Lattice
Reference
MOF-5
Zn(NO3)2·6H2O
BDC
DMF
C6H15N; C6H5Cl;
H2O2
rt
0.5–4
8
Fm3m
Cubic
[60,61]
Zn(OAc)2·2H2O
BDC
DMF
C6H15N
rt
2.5
7.56
Fm3m
Cubic
[62]
MOF-74
Zn(OAc)2·2H2O
H4DHTP
DMF
–
rt
18
–
–
–
[62]
Zn(NO3)2∙4H2O
2-Propanol H2O
105
20
10.3 × 5.5
R
Trigonal
[63]
MOF-177
Zn(NO3)2∙6H2O
H3BTB
DEF
–
100
23
10.8
P 1c
Trigonal
[62,64]
MOF-199
(HKUST-1)
Cu(NO3)2∙2.5H2O
BTC
DMF
C6H15N; EtOH;
H2O
85
24
Cage: 13.2 ×
11.1;
Aperture: 6.9
Fm3m
Cubic
[64–66]
IR-MOF-0
Zn(OAC)2·2H2O
ADC
DMF
C6H15N
rt
over-
night
–
Fm3m
Cubic
[62]
MIL-88
FeCl3·6H2O
BDC
DMF
–
150
0.2
3 × 14
P 2c
Hexagonal
[67,68]
*
Co(CF3SO3)2
H2BDP
DEF
–
150
144
–
C2/c
Monoclinic
[69]
CFA2
Cu(OAc)2·H2O
H2PHBPZ
DEF;
MeOH
–
110
72
12–14.5
I41/a
Tetragonal
[70]
CFA3
Ag2O
H2PHBPZ
EtOH
NH4OH
rt
120
–
P21/c
Monoclinic
[70]
*
Zn(NO3)2∙6H2O
TCPOM
4,4′-bpy
DMF
–
100
24
–
C2/c
Monoclinic
[71]
*
Zn(NO3)2∙6H2O
BDC
DABCO
DMF
–
120
48
7.5 × 7.5
I4/mcm
Tetragonal
[72,73]
*
Cd(NO3)2∙4H2O
BPNDC
4,4′-bpy
DMF
–
120
24
Cavity: 12 × 7
× 4;
Aperture: 2 × 6
C2/c
Monoclinic
[74]
*
La(NO3)2·6H2O
H3BTB
DMF
–
95
48
–
P6522
Hexagonal
[75]
*
Zn(NO3)2∙6H2O
2,5-BME-BDC;
DABCO
DMF
–
120
48
–
C2/m
Monoclinic
[76] Table 2. MOFs Synthesized from Solvothermal Conditions. MOF Class
Metal Center
Organic Linker Solvent
Mineralizing
Agent
Tem Materials 2014, 7 3211 Table 2. Cont. Table 2. Cont. Table 2. Cont. 2.2. Hydrothermal Synthesis versus Solvothermal Synthesis MOF
Class
Metal Center
Organic
Linker
Solvent
Mineralizing
Agent
Temprature
(°C)
Time
(h)
Pore Diameter
(Å)
Space
Group
Bravis
Lattice
Reference
*
Zn(NO3)2∙6H2O
2,3-BME-
BDC;
DABCO
DMF
–
120
48
–
C2/m
Monoclinic
[76]
*
Zn(NO3)2∙6H2O
DE-BDC;
DABCO
DMF
–
120
48
–
C2/m
Monoclinic
[76]
*
Zn(NO3)2∙6H2O
DP-BDC;
DABCO
DMF
–
120
48
–
C2/m
Monoclinic
[76]
*
Zn(NO3)2∙6H2O
DiP-BDC;
DABCO
DMF
–
120
48
–
C2/m
Monoclinic
[76]
*
Zn(NO3)2∙6H2O
DB-BDC;
DABCO
DMF
–
120
48
–
P4/mmm
Tetragonal
[76]
*
Zn(NO3)2∙6H2O
DPe-BDC;
DABCO
DMF
–
120
48
–
I4/mcm
Tetragonal
[76]
*
Zn(NO3)2∙6H2O
BA-BDC;
DABCO
DMF
–
120
48
–
P4/mmm
Tetragonal
[76]
*
Zn(NO3)2∙6H2O
BPy-BDC;
DABCO
DMF
–
120
48
–
P4/mmm
Tetragonal
[76]
CID-23
Zn(NO3)2∙6H2O
BPA; IP
DMF
–
120
48
5.6 × 8.6
P
triclinic
[77]
FMOF-1
AgNO3
NaTz
MeOH
–
rt
n/a
12.2 × 7.3;
4.9 × 6.6
I d
Tetragonal
[78,79]
*
Zn(OAc)2·2H2O
H3PBC;
2,2’-bpy
DMF
–
170
96
4.1 × 4.1;
2.7 × 2.7
C2/c
Monoclinic
[80] 3212 Materials 2014, 7 Table 2. Cont. Table 2. Cont. 2.2. Hydrothermal Synthesis versus Solvothermal Synthesis MOF
Class
Metal Center
Organic
Linker
Solvent
Mineralizing
Agent
Temprature
(°C)
Time
(h)
Pore Diameter
(Å)
Space Group
Bravis
Lattice
Reference
UCY-3
Cd(NO3)2 4H2O
H3CIP
DMF
–
100
20
5–7
C2/c
Monoclinic
[81]
FMOF-2
Zn(NO3)2∙6H2O
H2hfipbb
DMF;
EtOH
–
110
a few
hours
–
P2/n
Monoclinic
[82]
SUMOF-6
Ln(NO3)6 salt
H2BPYDC
DMF
–
120
24
19.0 × 5.3
P2/n
Monoclinic
[83]
*
CuCl2·2H2O
H2DMCAPZ
DMF;
MeOH
–
90
24
6.7 × 7.2
9.7 × 9.6
I41md
Tetragonal
[84]
*
Zn(NO3)2∙6H2O
BDC; BTZ;
PYZ
DMA;
MeOH
–
120
120
13.5 × 8.5
C2m
Monoclinic
[85]
*
Zn(NO3)2∙6H2O
BDC; TZ;
PYZ
DMF
–
120
120
14.5 × 5.0
P
Triclinic
[85]
2,2’-bpy = 2,2’-bipyridine; 2,5-BME-BDC = 2,5-bis(2-methoxyethoxy)-1,4-benzenedicarboxylic acid; 2,3-BME-BDC = 2,3-bis(2-methoxyethoxy)-1,4-benzenedicarboxylic acid;
4,4′-bpy = 4,4′-bipyridine; ADC = Acetylenedicarboxylic acid; BA-BDC = 2,5-Bis(allyloxy)-1,4-benzenedicarboxylic acid; BDC = 1,4-benzene-dicarboxylic acid; BPA =
1,4-bis(4-pyridyl)acetylene; BPNDC = Benzophenone-4,4′-dicarboxylate; BPy-BDC = 2,5-Bis(prop-2-ynyloxy)-1,4-benzenedicarboxylic acid; BTC = 1,3,5-benzene-
tricarboxylic acid; BTZ = 1H-benzotriazole; DABCO = 1,4-diazabicyclo-[2.2.2]octane; DB-BDC = 2,5-di-butoxy-1,4-benzenedicarboxylic acid; DE-BDC = 2,5-di-
ethoxy-1,4-benzenedicarboxylic acid; DEF = N,N-diethylformamide; DP-BDC = 2,5-di-propoxy-1,4-benzenedicarboxylic acid; DPe-BDC = 2,5-di-pentoxy-1,4-
benzenedicarboxylic acid; DiP-BDC = 2,5-di-iso-propoxy-1,4-benzenedicarboxylic acid; DMA = N,N-dimethylacetamide; DMF = N,N-dimethylformamide; EtOH =
Ethanol; H2BDP = 1,4-benzene-dipyrozolate; H2BPYDC = 2,2’-bipyridine-5,5’-dicarboxylic acid; H2DMCAPZ = 3,5-Dimethyl-4-Carboxypyrazole; H2hfipbb = 2,2’-bis(4-
carboxyphenyl)hexafluoropropane; H2PHBPZ = 3,3’,5,5’-tetraphenyl-1H,1’H-4,4′-bipyrazole; H3CIP = 5-(4-carboxybenzylideneamino)isophthalic acid; H3PBC = 4-
phosphono-benzoic acid; H3BTB = Benzenetribenoic acid or 1,3,5-tris(4-carboxyphenyl)benzene acid; H4DHTP = 2,5-dihydroxyterephtalic acid; IP = Isophthalic acid;
MeOH = Methanol; NaTz = sodium perfluorinated ligand 3,5-bis(trifluoromethyl)-1,2,4-triazolate; PYZ = pyrazine; TCPOM = Tetrakis[4-(carboxyphenyl)oxamethyl]methane;
TZ = 1,2,3-1H-triazole; * haven’t been named. Materials 2014, 7 Materials 2014, 7 Materials 2014, 7 3213 3. Characterizations of Breathing Behaviors Despite the variety of MOFs, only several classes exhibit the unique breathing phenomena. For
example, MIL-53 series are formed by connections of corner-sharing MO4(OH)2 octahedra linked by
1,4-benzenedicarboxylic (BDC) acids. Since MIL-53 (Al, Cr) are synthesized hydrothermally, denoted
as as-synthesized MIL-53 (MIL-53as), the channels of MOFs are filled with disordered BDC and H2O
molecules, demonstrating the narrow-pore (np) form. Shown in Figure 9, this np structure is caused by
the hydrogen-bond interactions between the hydrogen atoms of the water molecules and the oxygen
atoms of the carboxylic group and the μ2-hydroxo group [86]. Upon the dehydration at elevated
temperatures, the MIL-53s exhibit a porous structure which is referred as the large-pore (lp) form, due
to the absence of the interactions. Figure 9. Illustration of the breathing behavior of MIL-53 using heat as the external
stimulus. (a) dehydrated lp form; (b) hydrated np form. Reprinted with permission
from [87]. Copyright 2013 American Chemical Society. An unprecedented adsorption behavior is observed as the hydrated MIL-53s are exposed to CO2
molecules. The hydrated MIL-53s remain the np form when CO2 pressure is below 5 bar. Further
increasing the gas pressure turns the framework into the coexistence of np and lp forms. The
framework turns into a pure lp form when the gas pressure reaches above 15 bar (about 7.2 mmol∙g−1),
shown in Figure 10. The unit cell volume expands from 1012.8 Å3 (hydrated) to 1522.5 Å3
(hydrated + CO2). This behavior is different from their dehydrated counterparts that exhibit two-step
structure transition upon CO2 adsorption (lp → np → lp), during which the first plateau occurs at
around 3 mmol∙g−1 while the second plateau starts evolving around 8 bar (7.7 mmol∙g−1). The lag of
the structure transition might be due to the steric hindrance in the presence of H2O molecules prior to
the CO2 adsorption. Furthermore, the hydrated MIL-53(Cr) shows the minute CH4 uptake
(0.2 mmol∙g−1 at 20 bar), compared to its dehydrated counterpart (4.6 mmol∙g−1). This behavior is
projected to have wide applications in gas storage and separation, such as the selective adsorption of
CO2 over CH4 [88,89]. An unprecedented adsorption behavior is observed as the hydrated MIL-53s are exposed to CO2
molecules. The hydrated MIL-53s remain the np form when CO2 pressure is below 5 bar. Further
increasing the gas pressure turns the framework into the coexistence of np and lp forms. The
framework turns into a pure lp form when the gas pressure reaches above 15 bar (about 7.2 mmol∙g−1),
shown in Figure 10. The unit cell volume expands from 1012.8 Å3 (hydrated) to 1522.5 Å3
(hydrated + CO2). This behavior is different from their dehydrated counterparts that exhibit two-step
structure transition upon CO2 adsorption (lp → np → lp), during which the first plateau occurs at
around 3 mmol∙g−1 while the second plateau starts evolving around 8 bar (7.7 mmol∙g−1). The lag of
the structure transition might be due to the steric hindrance in the presence of H2O molecules prior to
the CO2 adsorption. Furthermore, the hydrated MIL-53(Cr) shows the minute CH4 uptake
(0.2 mmol∙g−1 at 20 bar), compared to its dehydrated counterpart (4.6 mmol∙g−1). This behavior is
projected to have wide applications in gas storage and separation, such as the selective adsorption of
CO2 over CH4 [88,89]. Materials 2014, 7 3214 Figure 10. (a) The illustration of structural change of hydrated MIL-53(Cr) using in situ
X-ray diffraction with respect to the pressure cycle of CO2; (b) Schematic diagram of
corresponding breathing behavior of MIL-53(Cr). Reprinted with permission from [86]. Copyright 2006 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Figure 10. (a) The illustration of structural change of hydrated MIL-53(Cr) using in situ
X-ray diffraction with respect to the pressure cycle of CO2; (b) Schematic diagram of
corresponding breathing behavior of MIL-53(Cr). Reprinted with permission from [86]. Copyright 2006 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. 3.1. Porosity Measurements 3.1. Porosity Measurements The structural transformation of MOFs, displaying the breathing behavior, is induced by the dipole
moment interaction between guest molecules and the host framework. The transition affects the gas
adsorption capacity that can be quantified using porosity measurements. Measurements using powder
X-ray diffraction (PXRD), and 129Xe NMR are conducted to unveil the structure transition at the
atomic level, providing a comprehensive porosity information of the breathing dynamics [90]. The gas adsorption isotherms are classified by International Union of Pure and Applied Chemistry
(IUPAC) into six types, shown in Figure 11 [91]. Type I is the Langmuir isotherm commonly observed
in microporous materials, of which the steep increase of adsorbed quantity at low relative pressure
indicates that the available microporous volume is occupied. Type-II, and -IV isotherms are possible
similar materials, in which mesopores and macropores are present. In addition, the multi-layer
adsorption might occur in the middle relative pressure range. The subtle difference between these two
types of isotherms is the presence of hysteresis loop in Type IV, in which implies the occurrence
of capillary condensation within mesopores, due to the strength of adsorbate–adsorbent and
adsorbate–adsorbate interactions [24]. Type-III and -V isotherms indicate the weak adsorbate-adsorbent
interactions. Type-VI isotherm might associate with layer-by-layer adsorption on a uniform surface. As aforementioned, dehydrated MIL-53 (Al, Cr) demonstrate the lp form. The N2 sorption
measurements show Type I isotherms, indicating their microporosity [26,92,93]. However, dehydrated
MIL-53 (Fe) and MIL-53 (Sc) display no microporosity towards the specific stimuli, as indicated in
Figure 12 [94–96]. This is attributed to the presence of closed-pore (cp) form or very-narrow-pore (vnp)
form of these two MIL-53s [97]. Similar Type I isotherm can be observed in the dehydrated
MIL-47(V) [98], which is an isostructural analogue of MIL-53, formed by connecting V4+O6 octahedra
with 1,4-benzenedicarboxylic (BDC) acids [99]. Materials 2014, 7 Materials 2014, 7 3215 Figure 11. Six types of gas physisorption isotherms. Reprinted with permission from [100]. Copyright 1985 IUPAC. Figure 11. Six types of gas physisorption isotherms. Reprinted with permission from [100]. Copyright 1985 IUPAC. Figure 12. Adsorption isotherms of n-hexane of various modified MIL-53(Fe). MIL-53(Fe)-4H stands for the non-modified MIL-53(Fe). Reprinted with permission
from [101]. Copyright 2011 American Chemical Society. Figure 12. Adsorption isotherms of n-hexane of various modified MIL-53(Fe). MIL-53(Fe)-4H stands for the non-modified MIL-53(Fe). Reprinted with permission
from [101]. Copyright 2011 American Chemical Society. However, if CO2 is used as the adsorbate, a Type VI isotherm is noticed in Figure 13, in which a
step or an inflection point can be observed. The presence of the inflection point in isotherms could be
evolved from changes in MOFs’ framework [102] or from the electrostatic interactions between
adsorbate molecules [103]. Theoretical approaches from thermodynamic viewpoints support that the However, if CO2 is used as the adsorbate, a Type VI isotherm is noticed in Figure 13, in which a
step or an inflection point can be observed. The presence of the inflection point in isotherms could be
evolved from changes in MOFs’ framework [102] or from the electrostatic interactions between
adsorbate molecules [103]. Theoretical approaches from thermodynamic viewpoints support that the 3216 Materials 2014, 7 Materials 2014, 7 step likely associates with the structural transition between np and lp forms [99]. As a result, the
structural flexibility and breathing behaviors are characterized with the presence of the step in the
adsorption isotherm and are commonly noticed in MIL-53s (Al, Cr, Fe) [96,99,104]. However, this
step is absent from the CO2 adsorption isotherm of MIL-47, possibly due to the presence of the μ2-oxo
group of the metal center [99], yielding its rigid framework. Figure 13. Isotherms at 304 K for the adsorption of CH4 and CO2. (a) MIL-53(Al);
and (b) MIL-53(Cr). Reprinted with permission from [99]. Copyright 2005 American
Chemical Society. Figure 13. Isotherms at 304 K for the adsorption of CH4 and CO2. (a) MIL-53(Al);
and (b) MIL-53(Cr). Reprinted with permission from [99]. Copyright 2005 American
Chemical Society. More complex breathing behaviors can be observed from the adsorption of long-chain alkanes on
MIL-53s [101,105,106]. For MIL-53(Al, Cr), the stepped adsorption isotherms can be observed when
propane or longer alkanes are used as adsorbates, shown in Figure 14. The occurrence of stepped
adsorption isotherm shifts towards a higher relative pressure when Al is the metal node as well as
longer alkanes. It was speculated that the presence of stepped isotherms was caused by host-guest
interaction, entropic effects, and confinement effects. F
h
h
i
Fi
13
d 15
h
b
f
d
d
i
i
h
h More complex breathing behaviors can be observed from the adsorption of long-chain alkanes on
MIL-53s [101,105,106]. For MIL-53(Al, Cr), the stepped adsorption isotherms can be observed when
propane or longer alkanes are used as adsorbates, shown in Figure 14. The occurrence of stepped
adsorption isotherm shifts towards a higher relative pressure when Al is the metal node as well as
longer alkanes. It was speculated that the presence of stepped isotherms was caused by host-guest
interaction, entropic effects, and confinement effects. More complex breathing behaviors can be observed from the adsorption of long-chain alkanes on
MIL-53s [101,105,106]. For MIL-53(Al, Cr), the stepped adsorption isotherms can be observed when
propane or longer alkanes are used as adsorbates, shown in Figure 14. 3.2. X-ray Diffraction In addition to gas adsorption measurements, the structural transition associating with the breathing
behavior can be characterized using in situ X-ray diffraction [26,27,105,106]. From powder XRD
patterns (PXRDs), the crystallographic refinement of MIL-53(Cr) crystals, under the hydration-dehydration
cycle, yield the unit cell dimensions of MIL-53as (Cr) are as follows: orthorhombic system, Pnam,
a = 17.340(1), b = 12.178(1), c = 6.822(1) Å, V = 1440.6(1) Å3; for MIL-53ht (Cr), orthorhombic
system, Imcm, a = 16.733(1), b = 13.038(1), c = 6.812(1) Å, V = 1486.2(2) Å3; for MIL-53lt (Cr),
monoclinic system, C2/c, a = 19.685(4), b = 7.849(1), c = 6.782(1) Å, V = 1012.8(1) Å3,
β = 104.90(2)° [108]. The result clearly shows the volume contraction and expansion during the
breathing cycle while using heat as the external stimulus. Similarly, the structural transitions of
MIL-53(Al, Fe) can be observed using the same technique [26,109]. The structural transition upon
adsorptions of CO2 was also analyzed using in situ PXRD patterns as: MIL-53-CO2 (Cr): monoclinic
system, C2/c, a = 19.713(1), b = 8.310(1), c = 6.806(1) Å, V = 1072.5(1) Å3, β = 105.85(2)° [27]. Structural transitions were also analyzed for MIL-53s upon adsorptions of hydrocarbons [101,105,106]. Analyses of unit cell parameters of MIL-53 (Al, Fe, Cr, Ga, Sc) upon applying various external stimuli
are summarized in Table 3. Materials 2014, 7 3219 The occurrence of stepped
adsorption isotherm shifts towards a higher relative pressure when Al is the metal node as well as
longer alkanes. It was speculated that the presence of stepped isotherms was caused by host-guest
interaction, entropic effects, and confinement effects. Furthermore, shown in Figures 13 and 15, the absence of stepped adsorption isotherms when
methane and ethane were used as the adsorbates suggested that the adsorption enthalpy of these
adsorbates cannot overcome the threshold of adsorption enthalpy above which the breathing occurs
(−20 kJ mol−1). In contrast, MIL-53(Fe, Sc) exhibits stepped isotherms for all tested linear alkanes,
including methane and ethane. The adsorption isotherms exhibit multi-steps at various relative
pressures, which have been attributed to the existence of four discrete pore openings changing from
very narrow pore (vnp) → intermediate pore (int) → narrow pore (np) → large pore (lp). The
schematic diagram is shown in Figure 16. It is noted that the stepped adsorption isotherms are absent
in any hydrocarbon adsorption of MIL-47(V), further confirming the rigidity of its framework [107]. Materials 2014, 7 Materials 2014, 7 3217 Figure 14. Adsorption isotherms of n-alkanes at 313 K. (a) MIL-53(Al); (b) MIL-53(Cr). Δ: n-hexane; ○: n-heptane; □: n-nonane; ◊: n-octane. Reprinted with permission from [105]. Copyright 2008 American Chemical Society. Figure 14. Adsorption isotherms of n-alkanes at 313 K. (a) MIL-53(Al); (b) MIL-53(Cr). Δ: n-hexane; ○: n-heptane; □: n-nonane; ◊: n-octane. Reprinted with permission from [105]. Copyright 2008 American Chemical Society. (a)
(b) (a) (a)
(b) (b) Materials 2014, 7 3218 Materials 2014, 7 Figure 15. Adsorption isotherms of C1-C4 alkanes at 303 K. (a) MIL-53(Fe);
(b) MIL-53(Cr). Reprinted with permission from [106]. Copyright 2009 American
Chemical Society. Figure 16. Schematic diagram of structural evolutions of MIL-53(Fe) and MIL-53(Al, Cr)
upon adsorption of n-alkanes. Reprinted with permission from [106]. Copyright 2009
American Chemical Society. (a)
(b) (a) (a) (b) (b) Figure 16. Schematic diagram of structural evolutions of MIL-53(Fe) and MIL-53(Al, Cr)
upon adsorption of n-alkanes. Reprinted with permission from [106]. Copyright 2009
American Chemical Society. Materials 2014, 7 3.3. 129Xe Nuclear Magnetic Resonance Xenon adsorption studies combined with 129Xe NMR spectroscopy are favorable methods for
characterizations of porosity and framework flexibility of MOFs, due to the high polarizability of Xe
atoms upon interacting with its environment [90,104,110]. For MIL-53(Al), adsorption isotherms of
Xe below 300 K show steps and hysteresis loops, implying the structural transition from lp to np forms,
shown in Figure 17. Figure 17. Xe adsorption (solid symbols) and desorption (open symbols) isotherms
measured at 195 (lozenges), 220 (squares), 273 (triangles), 292 (circles), and 323 K (stars). Inset: Low-pressure region of the isotherm at 220 K. Reprinted with permission from [110]. Copyright 2010 American Chemical Society. 3220 Materials 2014, 7 Table 3. Summary Physical Properties of “Breathing” MIL-53s. Table 3. Summary Physical Properties of “Breathing” MIL-53s. MOF class
Absorbent inside channels
Channel
Diameter (Å)
Space
group
Unit cell dimension (Å)
Bravis Lattice
Surface Area
(m2∙g−1)
Unit Cell
Volume
(Å3)
Reference
a
b
c
Al-MIL-53 as Disordered templating BDC
7.3 × 7.7
Pnma
17.129
6.628
12.182
Orthorhombic
–
1383.1 [26,111,112]
Al-MIL-53 ht
Empty
8.5 × 8.5
Imma
6.608
16.675
12.813
Orthorhombic
–
1411.9 [26,112,113]
Al-MIL-53 lt
H2O
2.6 × 13.6
Cc
19.513
7.612
6.576
Monoclinic
1592 (Langmuir)
1140 (BET)
946.8
[26,111,112]
Al-MIL-53
CO2
–
–
6.59
18.14
10.38
–
–
1234.2
[113]
Fe-MIL-53 ht
Empty
6.759
C2/c
21.269
6.759
6.884
Monoclinic
–
899.6
[114]
Fe-MIL-53 lt
H2O
7.518
C2/c
19.320
15.036
6.835
Monoclinic
–
1973.5
[106,115]
Cr-MIL-53 as Disordered templating BDC
8
Pnam
17.340
12.178
6.822
Orthorhombic
1400 (Langmuir)
1440.6 [27,116,117]
Cr-MIL-53 ht
Empty
8
Imcm
16.733
13.038
6.812
Orthorhombic
–
1486.1 [27,116,117]
Cr-MIL-53 lt
H2O
–
C2/c
19.685
7.849
6.782
Monoclinic
––
1012.0 [27,116,117]
Cr-MIL-53 LP
CO2
–
C2/c
19.713
8.310
6.806
Monoclinic
–
1072.0 [27,116,117]
C2H5OH
19.621
9.301
6.811
1185.1
[118]
CH3OH
19.641
9.151
6.811
1168.1
Cr-MIL-53 HP
CH3OH
–
Imcm
16.131
13.961
6.831
Orthorhombic
–
1538.1
[118]
CO2
16.439
13.500
1527.3 [27,116,117]
C2H5OH
16.151
13.971
1541.1
[118]
Ga-MIL-53 ht
H2O
–
Imma
6.717
16.678
13.209
Orthorhombic
1462 (Langmuir)
1140 (BET)
1479.7
[119]
Ga-MIL-53 lt
H2O
–
C2c
19.833
6.856
6.714
Monoclinic
–
886.3
[119]
Sc-MIL-53-cp
(100 K)
Empty
–
P21/c
20.298
7.331
11.691
Monoclinic
–
1680.8
[120]
Sc-MIL-53-cp
(573 K)
Empty
–
P21/c
20.538
7.299
12.560
Monoclinic
–
1804.9
[120]
Sc-MIL-53-vnp
(623 K)
Empty
–
C2c
21.505
6.630
7.274
Monoclinic
–
950.83
[120] 3221 4. Thermodynamic Viewpoints Adsorptions of various adsorbates (H2O, CO2, Xe, and n-alkanes) induce framework structural
transitions due to adsorbate–adsorbent interactions, which is recognized as the breathing effect [124]. The striking breathing phenomena of MOFs lead to eminent steps and hysteresis in adsorption and
desorption isotherms. Researchers also speculate that rationales of this unprecedented behavior via
thermodynamic viewpoints can unveil strategies to “tailor” the MOFs’ gas sorption capacity. Coudert et al., recently developed thermodynamic viewpoints on framework transitions [125] in
which they proposed that framework transitions are determined by five parameters: the free energy
difference between the empty host structures (1, ΔFhost), the pore volumes (2,
, and
), and the
Henry constants (2, K1, and K2). These parameters consist of the widely-recognized osmotic potential
ensemble model: (1) (1) whereas means the osmotic potential of the different solid phases during the guest-induced
structural transitions of the host material. The guest-host interaction of CO2 adsorption evolves from the quadrupole moment of CO2 molecules. The CO2 adsorption on MIL-53(Al, Cr) exhibits two transition steps, changing from lp to np at low
pressure (0.3 bar) and from np to lp at high pressure (5 bar). At low pressure region, the free energy
difference was estimated about 2.5 kJ/mole. The energy barrier of the first transition is very comparable
with kT at room temperature. The energy barrier of the second framework transition is about 20 kJ/mole at
high pressure. This framework transition relies on: (1) the affinity between adsorbate-adsorbent; (2) pore
volumes; and (3) the free energy difference between the narrow-pore (np) and the large-pore (lp) states. Using the model, the authors predicted four scenarios shown in Figure 19: (a) SCSC single transition
(
): unit cell volume expands as the pressure increases; (b) no framework transition
(
and ): as the empty structure is the most stable phase; (c) SCSC double transition
(
and ): unit cell volume contracts at the low pressure and expands at the high
pressure region; (d) no framework transition (
and ): as van der Waals force
interaction is too weak to offset the free energy of framework transition (2–6 kJ/mol). The model
successfully explains the presence of dual framework transitions of MIL-53(Al, Cr) upon the CO2
adsorption, and the absence of framework transition upon CH4 adsorption [125]. Materials 2014, 7 129Xe NMR spectra show a single isotropic line at the chemical shift range of 60–70 ppm (region a)
under low pressure in Figure 18. The presence of isotropic line indicates the framework adopts the lp
form. As the adsorbed Xe quantity increases, the single isotropic line exhibits higher chemical shift
and less intensity. Upon reaching a threshold pressure, a reversible anisotropic line with the chemical
shift range of 120–160 ppm (region b) appears, indicating the framework becomes the np form. The
structural transition could be induced by the interaction between Xe atoms and organic parts of MOFs,
yielding the rotation of phenyl rings during shrinkage. Detailed NMR analyses indicate that the extent
of structural transition is not complete at room temperature, comparable to the “forceps” effect
observed in MIL-53(Fe) [121]. 129Xe NMR technique was used to characterize the framework
flexibility of DUT-8(Ni), a MOF with Ni2(2,6-NDC)2(DABCO) (DUT = Dresden University of
Technology, 2,6-NDC = 2,6-naphthalenedicarboxylate, DABCO = 1,4-diazabicyclo[2.2.2]octane) [122]. Figure 18. 129Xe NMR spectra measured under various xenon pressures. (A) Adsorption;
(B) Desorption. Reprinted with permission from [110]. Copyright 2010 American
Chemical Society. 3.4. Electron Paramagnetic Resonance (EPR) Using Nitroxide as Probes 3.4. Electron Paramagnetic Resonance (EPR) Using Nitroxide as Probes Recently, Bagryanskaya’s group developed an alternative approach to elucidating the generic
breathing behavior of MIL-53(Al) using electron paramagnetic resonance (EPR) [123]. A very low
concentration of (2,2,6,6-tetramethylpiperidin-1-yl)oxyl (TEMPO) was introduced as the probe
(1 molecule/1,000 unit cells). Its tumbling correlation times (τc) were analyzed at various temperatures,
showing that the probe molecules become immobile as the framework turns into the np form at 80 K. The probe molecules become freely rotating as the framework changes into the lp form at room
temperature. The obtained reversible breathing behavior of MIL-53(Al) was comparable with those
obtained using aforementioned techniques. Materials 2014, 7 Materials 2014, 7 3222 Materials 2014, 7 Materials 2014, 7 Figure 19. The four potential scenarios of adsorbents exhibiting the structural transition
between Phases 1 (red) and 2 (blue), using osmotic potential ensemble model. (Top) the
adsorption isotherms; (Middle) the Langmuir isotherms of each phase in respective
scenario; (Bottom) the osmotic potential of each phase. Green arrows indicate the
occurrence of structural transitions. Reprinted with permission from [125]. Copyright 2008
American Chemical Society. American Chemical Society. The absence of framework transition upon CH4 adsorption was explicitly predicted using the
concept of relative affinity, Knp/Klp, which is a function of pore volumes and the free energy difference
between np and lp states [126]. As the relative affinity is much larger than unity, the osmotic potential
difference switches sign twice, leading to the presence of double framework transitions between lp and
np forms upon long-chain hydrocarbon adsorptions, shown in Figure 20. Due to the low relative
affinity of CH4 (almost equal to unity), the lp form is thermodynamically stable, yielding no step of its
adsorption isotherm [126]. The absence of framework transition upon CH4 adsorption was explicitly predicted using the
concept of relative affinity, Knp/Klp, which is a function of pore volumes and the free energy difference
between np and lp states [126]. As the relative affinity is much larger than unity, the osmotic potential
difference switches sign twice, leading to the presence of double framework transitions between lp and
np forms upon long-chain hydrocarbon adsorptions, shown in Figure 20. Due to the low relative
affinity of CH4 (almost equal to unity), the lp form is thermodynamically stable, yielding no step of its
adsorption isotherm [126]. The absence of framework transition upon CH4 adsorption was explicitly predicted using the
concept of relative affinity, Knp/Klp, which is a function of pore volumes and the free energy difference
between np and lp states [126]. As the relative affinity is much larger than unity, the osmotic potential
difference switches sign twice, leading to the presence of double framework transitions between lp and
np forms upon long-chain hydrocarbon adsorptions, shown in Figure 20. Due to the low relative
affinity of CH4 (almost equal to unity), the lp form is thermodynamically stable, yielding no step of its
adsorption isotherm [126]. 4. Thermodynamic Viewpoints For MIL-53, where the lp form is intrinsically more stable than the np form at room temperature,
it was predicted that either the occurrence of two structural transitions upon gas adsorption or the
absence of any transition is determined by a balance between intrinsic stability of the crystal structures,
adsorption affinities, and accessible volume. With respect to alkanes adsorption of MIL-53, adsorption
isotherms exhibit that the variation of pore volume for both forms is small [126] and the main factor is
resulted from the change in adsorption affinities of different guests [126]. 3223 Materials 2014, 7 The absence of framework transition upon CH4 adsorption was explicitly predicted using the
concept of relative affinity, Knp/Klp, which is a function of pore volumes and the free energy difference
between np and lp states [126]. As the relative affinity is much larger than unity, the osmotic potential
difference switches sign twice, leading to the presence of double framework transitions between lp and
np forms upon long-chain hydrocarbon adsorptions, shown in Figure 20. Due to the low relative
affinity of CH4 (almost equal to unity), the lp form is thermodynamically stable, yielding no step of its
adsorption isotherm [126]. The affinity between adsorbate (Xe)-adsorbent (MIL-53(Al)) was measured using the Henry’s
constant (KH) at np and lp forms, which in turn was used to estimate the adsorption stress (σs) during
the structural transition [127,128]. At the low pressure region when adsorbate molecules are introduced,
the framework starts contracting, yielding decreasing framework stress. Once the critical stress is
reached (
), the lp form becomes unstable and the framework turns into the np form. During the
period, MOFs are experiencing the “abnormal breathing” behavior—the sample contracts while
inhaling. This results in a sharp uptake step on the adsorption isotherm; the sample volume decreases 3224 Materials 2014, 7 Materials 2014, 7 Figure 21. (a) Experimental adsorption (filled) and desorption (empty) isotherms of Xe in
MIL-53(Al) at 220 K (in blue), and the fitting of Langmuir isotherms using the lp (black
dash) and np (red dash) forms, respectively; (b) simulated structural transition stresses of
the lp (black) and np (red) forms. σ*np and σ*lp denote the critical stresses of the structural
transitions upon adsorption (A1 and A2) and desorption (D1 and D2), respectively. Reprinted
with permission from [128]. Copyright 2010 American Chemical Society. Figure 21. (a) Experimental adsorption (filled) and desorption (empty) isotherms of Xe in
MIL-53(Al) at 220 K (in blue), and the fitting of Langmuir isotherms using the lp (black
dash) and np (red dash) forms, respectively; (b) simulated structural transition stresses of
the lp (black) and np (red) forms. σ*np and σ*lp denote the critical stresses of the structural
transitions upon adsorption (A1 and A2) and desorption (D1 and D2), respectively. Reprinted
with permission from [128]. Copyright 2010 American Chemical Society. At the low pressure region in Figure 22a, it was shown that a dual-interaction between the O atoms
of CO2 and two hydrogen atoms of μ2 hydroxyl groups on the opposing pore walls presents in both the
lp and np forms of MIL-53(Al) [129,130]. The distances of OCO2-Hμ2-OH are comparable with the
hydrogen bonds of clathrated water interacting with the carboxylate groups in MIL-53as (Al) [26]. While the adsorption takes place at high pressure region (>5 bars), in Figure 22b, all four of the
hydroxyl groups present are involved in forming this dual-interaction. In addition, the adsorbate-adsorbate
interaction becomes more prominent, resulting in the formation the single-interaction between CO2
adsorbate and both organic linker and μ2 hydroxyl group, which subsequently leads to a more open
porosity. This initiates the structural transition from the np form to the lp form. As the pores are further
filled, the adsorbate molecules mainly interacts with the hydrogen atoms on the organic groups, as well
as the inorganic part [129]. (a)
(b) (a)
(b) At the low pressure region in Figure 22a, it was shown that a dual-interaction between the O atoms
of CO2 and two hydrogen atoms of μ2 hydroxyl groups on the opposing pore walls presents in both the
lp and np forms of MIL-53(Al) [129,130]. The distances of OCO2-Hμ2-OH are comparable with the
hydrogen bonds of clathrated water interacting with the carboxylate groups in MIL-53as (Al) [26]. Materials 2014, 7 Materials 2014, 7 by 40% (line A1 in Figure 21). As the pressure increases, the np-form framework starts expanding,
which yields the increasing framework stress. Once the critical stress is reached (
), the np form
becomes unstable. The framework turns into the lp form, during which the sample expands while
“inhaling”. The sample volume increases by 40%, displayed by the second step on the adsorption
isotherm (line A2). As the adsorption occurs further in the lp phase, the solvation pressure increases,
causing the elastic expansion of sample, which remains stable [128]. This stress-based model implies
that two distinctive states of framework exist, which cannot explain the coexistence of np and lp forms
during the contracting state [110,127]. From molecular dynamics (MD) simulations, translational (τ) and orientational (S) orders of
confined CO2 molecules were used to monitor the framework transition. As the structural transition
(lp → np form) upon the adsorption occurs at low pressure region, the orientational order of CO2
increased drastically due to the confinement of np form. Similar change can be noticed at the
translation order loss along the channel direction, indicating the rearrangement of CO2 molecules while
the framework contracts. It is suggested that the heat of adsorption via the guest-host interaction can
compensate for the entropy loss of confined CO2 molecules, making the framework transition becomes
an enthalpy-driven step [127]. Figure 20. (a) Adsorption isotherms of CH4 (red) and C4H10 (blue) in MIL-53(Cr),
in a Langmuir model; (b) the osmotic potential change during the structural transition
between the lp and np forms. Vertical dotted lines indicate the structural transition induced
by C4H10 molecules. Reprinted with permission from [126]. Copyright 2009 American
Chemical Society. Figure 20. (a) Adsorption isotherms of CH4 (red) and C4H10 (blue) in MIL-53(Cr),
in a Langmuir model; (b) the osmotic potential change during the structural transition
between the lp and np forms. Vertical dotted lines indicate the structural transition induced
by C4H10 molecules. Reprinted with permission from [126]. Copyright 2009 American
Chemical Society. (a)
(b) (a)
(b) 3225 Materials 2014, 7 While the adsorption takes place at high pressure region (>5 bars), in Figure 22b, all four of the
hydroxyl groups present are involved in forming this dual-interaction. In addition, the adsorbate-adsorbate
interaction becomes more prominent, resulting in the formation the single-interaction between CO2
adsorbate and both organic linker and μ2 hydroxyl group, which subsequently leads to a more open
porosity. This initiates the structural transition from the np form to the lp form. As the pores are further
filled, the adsorbate molecules mainly interacts with the hydrogen atoms on the organic groups, as well
as the inorganic part [129]. At the low pressure region in Figure 22a, it was shown that a dual-interaction between the O atoms
of CO2 and two hydrogen atoms of μ2 hydroxyl groups on the opposing pore walls presents in both the
lp and np forms of MIL-53(Al) [129,130]. The distances of OCO2-Hμ2-OH are comparable with the
hydrogen bonds of clathrated water interacting with the carboxylate groups in MIL-53as (Al) [26]. While the adsorption takes place at high pressure region (>5 bars), in Figure 22b, all four of the
hydroxyl groups present are involved in forming this dual-interaction. In addition, the adsorbate-adsorbate
interaction becomes more prominent, resulting in the formation the single-interaction between CO2
adsorbate and both organic linker and μ2 hydroxyl group, which subsequently leads to a more open
porosity. This initiates the structural transition from the np form to the lp form. As the pores are further
filled, the adsorbate molecules mainly interacts with the hydrogen atoms on the organic groups, as well
as the inorganic part [129]. Materials 2014, 7 3226 Materials 2014, 7 Figure 22. Simulation of CO2 arrangement of the adsorption on MIL-53(Al). (a) at the
initial stage of loading in MIL-53np (Al); (b) at the high stage of loading in MIL-53lp (Al). Reprinted with permission from [130]. Copyright 2008 American Chemical Society. Figure 22. Simulation of CO2 arrangement of the adsorption on MIL-53(Al). (a) at the
initial stage of loading in MIL-53np (Al); (b) at the high stage of loading in MIL-53lp (Al). Reprinted with permission from [130]. Copyright 2008 American Chemical Society. (a)
(b)
An inflection point was observed in the simulated energetic profile during the framework transition,
indicating that an energetic unfavorable intermediate state exists during the framework transition of
CO2 adsorption on MIL-53(Cr). Materials 2014, 7 This observation implies that the framework transition could be
a progressive type instead of a distinct one, meaning that some part of pores are open while the
remaining are closed [131]. Shown in Figure 23, the free energy model that incorporates host free
energy, guest-guest interactions, and guest-host interaction is introduced successfully to reproduce the
CO2 and CH4 adsorption isotherms of MIL-53(Cr) [132]. Under the low and high pressure regions,
a global minimum of free energy is observed (red dots), indicating the lp form is the single stable
framework structure (plots 1, 2, 10, and 11). Upon changing the pressure, a local minimum of free
energy (black dots) presents, showing that the np form coexists with the lp form (plots 3, 4, 8, and 9). Further changing the gas pressure leads to the disappearance of lp form, and the framework becomes
the pure np form (plots 5, 6, and 7). The model also rationalizes the framework transition depends on
the type and the size of guest molecules [127,132,133]. The observations are corroborated with
experimental data [110]. (a) (b) (a)
(b) (b) (a) An inflection point was observed in the simulated energetic profile during the framework transition,
indicating that an energetic unfavorable intermediate state exists during the framework transition of
CO2 adsorption on MIL-53(Cr). This observation implies that the framework transition could be
a progressive type instead of a distinct one, meaning that some part of pores are open while the
remaining are closed [131]. Shown in Figure 23, the free energy model that incorporates host free
energy, guest-guest interactions, and guest-host interaction is introduced successfully to reproduce the
CO2 and CH4 adsorption isotherms of MIL-53(Cr) [132]. Under the low and high pressure regions,
a global minimum of free energy is observed (red dots), indicating the lp form is the single stable
framework structure (plots 1, 2, 10, and 11). Upon changing the pressure, a local minimum of free
energy (black dots) presents, showing that the np form coexists with the lp form (plots 3, 4, 8, and 9). Further changing the gas pressure leads to the disappearance of lp form, and the framework becomes
the pure np form (plots 5, 6, and 7). The model also rationalizes the framework transition depends on
the type and the size of guest molecules [127,132,133]. The observations are corroborated with
experimental data [110]. Materials 2014, 7 An inflection point was observed in the simulated energetic profile during the framework transition,
indicating that an energetic unfavorable intermediate state exists during the framework transition of
CO2 adsorption on MIL-53(Cr). This observation implies that the framework transition could be
a progressive type instead of a distinct one, meaning that some part of pores are open while the
remaining are closed [131]. Shown in Figure 23, the free energy model that incorporates host free
energy, guest-guest interactions, and guest-host interaction is introduced successfully to reproduce the
CO2 and CH4 adsorption isotherms of MIL-53(Cr) [132]. Under the low and high pressure regions,
a global minimum of free energy is observed (red dots), indicating the lp form is the single stable
framework structure (plots 1, 2, 10, and 11). Upon changing the pressure, a local minimum of free
energy (black dots) presents, showing that the np form coexists with the lp form (plots 3, 4, 8, and 9). Further changing the gas pressure leads to the disappearance of lp form, and the framework becomes
the pure np form (plots 5, 6, and 7). The model also rationalizes the framework transition depends on
the type and the size of guest molecules [127,132,133]. The observations are corroborated with
experimental data [110]. Other than guest molecules, the framework transition can be triggered by temperature variation,
leading to the dehydration-rehydration cycle. It has been shown that MIL-53 exhibits the lp form under
high temperature (>300 K) and the np form under low temperature (<300 K). With the absence of van
der Waals force interactions between adsorbate and adsorbent, the framework transition occurs through
(1) twisted benzene groups of benzenedicarboxylate (BDC) ligands, also called as π flipping;
and (2) distortion mode from the corner-sharing octahedral MO6 (M = Al, Cr) clusters, displayed
in Figure 24 [112,134]. Similar temperature-dependent framework transition is also observed for
MOF-5 [135]. Materials 2014, 7 3227 Materials 2014, 7 Figure 23. Free energy simulation of CO2 adsorption on MIL-53(Cr) at 300 K under
various pressure ranges. The blue-colored contour represents the lowest free energy, while
the red-colored contour means the highest free energy. The under panel shows the expected
framework structure during adsorption, equilibrium and desorption processes. Reprinted
with permission from [132]. Copyright 2013 American Chemical Society. Figure 24. Neutron powder diffraction of MIL-53(Al) collected at (a) an elevated
temperature (lp form); (b) room temperature (np form). The π–flipping of BDC ligands and
the distortion of octahedral metal nodes can be visualized in the inset and (c). Reprinted
with permission from [112]. Copyright 2008 American Chemical Society. [27]. Copyright
2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Figure 24. Neutron powder diffraction of MIL-53(Al) collected at (a) an elevated
temperature (lp form); (b) room temperature (np form). The π–flipping of BDC ligands and
the distortion of octahedral metal nodes can be visualized in the inset and (c). Reprinted
with permission from [112]. Copyright 2008 American Chemical Society. [27]. Copyright
2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. 3228 Materials 2014, 7 Figure 24. Cont. 5. Functionalization of MOFs to Modulate Breathing Behaviors
For gas storage and separation applications, it is widely recognized that the gas uptake cap
gas adsorption selectivity are correlated with the pore size and pore shape of MOFs. Altering
size and pore shape of MOFs can be achieved by designing new MOFs using new organic l Figure 24. Cont. Figure 24. Cont. g 5. Functionalization of MOFs to Modulate Breathing Behaviors
For gas storage and separation applications, it is widely recognized that the gas uptake capacity and
gas adsorption selectivity are correlated with the pore size and pore shape of MOFs. Altering the pore
size and pore shape of MOFs can be achieved by designing new MOFs using new organic linkers or
metal centers prior to synthesis. The approach enjoys the advantage of one-pot synthesis, to tailor
the pore size, adsorption affinity, and separation selectivity. However, the approach of incorporating
predetermined or pre-functionalized organic ligands may be not impeccable, due to their poor stability,
reactivity, and solubility under reaction conditions. This drawback has driven the needs to modify the
MOF framework functionality using post synthetic modifications (PSMs) [136–141]. PSMs are
chemical treatments of parent MOFs, while maintaining the structure intact. Almost all PSMs are 5. 5.1. Pre-Functionalized Organic Linkers Tuning the breathing effect of MOFs has recently been achieved by designing the structure of
organic linkers at the pre-synthesis stage. MIL-53 structure contains linkages of AlO4(OH)2-octahedra
with 1,4-benzenedicarboxylic acid (BDC), resulting in one-dimensional channels in c direction. The inclusion of amine-bearing organic linkers in MIL-53s leads to the slight expansion of unit cell
volume [148]. However, it exerts no change on the MOF structure nor the breathing behaviors. The expansion of unit cell volume could be originated from the occupation of amine groups inside
channels. The occupation of amine groups also result in less adsorption capacity and less thermal
stability, compared with non-functionalized MIL-53. A similar effect can be observed for NH2-MIL-53 on the adsorption capacity of CO2 which
decreases from 40 wt% to 30 wt%, due to the less available micropore volume. However, NH2-MIL-53
exhibits a higher separation factor of CO2 over CH4, due to the coupling contribution from the strong
interaction between NH2 groups and CO2 molecules and the flexible framework of MIL-53 [149]. It was determined experimentally that the zero coverage adsorption enthalpy of CO2 is increased from
20.1 kJ/mol to 38.4 kJ/mol when MIL-53 framework is decorated with amino groups. Amino groups of NH2-MOFs are considered as tags for creating versatile functionalities using
PSMs [136,150]. In addition to the amino group, various pre-functionalized organic linkers are adopted
in synthesizing Al- and Fe-based MIL-53s [111,115]. Stock’s group solvothermally synthesized five
flexible functionalized MIL-53(Al) using BDC-X as linkers, whereas BDC = 1,4-benzenedicarboxy-late;
X = –Cl, –Br, –CH3, –NO2, and –(OH)2. The breathing behaviors of the MOFs were altered based on
the appended functional groups. During the hydration-dehydration cycle, all materials demonstrated
the np-to-lp transition at various temperatures, in which Cl-MIL-53(Al) occurs at 110 °C, Br-MIL-53(Al)
is at 80 °C, CH3-MIL-53(Al) is at 120 °C, and NO2-MIL-53(Al) is at 130 °C. This phenomenon was
attributed to the hydrogen bonding interactions between the adsorbate and absorbents. However, the lp
form was originally observed in (OH)2-MIL-53(Al) below 120 °C and was transformed into a
pure np form above 140 °C, due to the removal of water molecules. This work has recently been
extended to investigate the effect of fluorinated BDC on the sorption capacity of F-MIL-47 and
F-MIL-53(Al) [151,152]. F-MIL-47 exhibits better n-hexane uptake capacity than its parent materials,
possibly due to the enhanced hydrophobicity of its framework. Materials 2014, 7 Materials 2014, 7 based on amine-bearing organic linkers. Requirements for successful PSMs includes: accessible porosity
or surface, available functional groups, and stability under reaction conditions and environment. The covalent PSM on MOFs was first implemented by Kim’s group, on which free pyridyl groups of
organic moieties was treated [142]. There have been several excellent review articles published
specifically on this topic [143], and is not detailed in this work. Other approaches adopted include
using: (1) pre-functionalized organic linkers [76,115,144]; (2) mixed organic linkers [145,146]; (3)
different metal nodes [147]; (4) mixed metal ions as nodes in MOFs [96]. Materials 2014, 7 Functionalization of MOFs to Modulate Breathing Behaviors 5. Functionalization of MOFs to Modulate Breathing Behaviors For gas storage and separation applications, it is widely recognized that the gas uptake capacity and
gas adsorption selectivity are correlated with the pore size and pore shape of MOFs. Altering the pore
size and pore shape of MOFs can be achieved by designing new MOFs using new organic linkers or
metal centers prior to synthesis. The approach enjoys the advantage of one-pot synthesis, to tailor
the pore size, adsorption affinity, and separation selectivity. However, the approach of incorporating
predetermined or pre-functionalized organic ligands may be not impeccable, due to their poor stability,
reactivity, and solubility under reaction conditions. This drawback has driven the needs to modify the
MOF framework functionality using post synthetic modifications (PSMs) [136–141]. PSMs are
chemical treatments of parent MOFs, while maintaining the structure intact. Almost all PSMs are 3229 5.1. Pre-Functionalized Organic Linkers The F-MIL-53(Al) shows the decreased
n-hexane adsorption capacity, possibly originated from its framework rigidity. The functionalized MIL-53(Al)s showed smaller accessible micropore volumes compared with
their parent material, due to the occupancy of functional groups inside the one-dimensional channels. The accessible micropore volumes demonstrate the decreasing trend in the following order: 3230 Materials 2014, 7 NO2-MIL-53(Al) > Cl-MIL-53(Al) = CH3-MIL-53(Al) > Br-MIL-53(Al) > (OH)2-MIL-53(Al), due to
the steric hindrance of functional groups. Their CO2 adsorption capacities exhibited the similar trend;
however, all of them were smaller than NH2-MIL-53(Al), shown in Figure 25. This trend is owing to
the availability and affinity of amino groups towards CO2 molecules. It is noted that the CO2
adsorption capacity of –NO2 is higher than that of NH2-MIL-53(Al) when CO2 pressure was above
1 bar, due to the presence of np form of NH2-MIL-53(Al). Figure 25. Adsorption isotherms of functionalized MIL-53s: (a) CO2; (b) H2O. Symbols:
: Cl-MIL-53(Al);
: Br-MIL-53(Al);
: CH3-MIL-53(Al);
: NO2-MIL-53(Al);
: (OH)2-MIL-53(Al);
: NH2-MIL-53(Al). Reprinted with permission from [111]. Copyright 2011 American Chemical Society. Figure 25. Adsorption isotherms of functionalized MIL-53s: (a) CO2; (b) H2O. Symbols:
: Cl-MIL-53(Al);
: Br-MIL-53(Al);
: CH3-MIL-53(Al);
: NO2-MIL-53(Al);
: (OH)2-MIL-53(Al);
: NH2-MIL-53(Al). Reprinted with permission from [111]. Copyright 2011 American Chemical Society. Furthermore, several derivatives of 1,4-benzenedicarboxylic acid (BDC)-based organic linkers with
fl
ibl
id
h i
d h
h
ifi
i
i
f
i
2 3 dih d
l BDC
d Furthermore, several derivatives of 1,4-benzenedicarboxylic acid (BDC)-based organic linkers with
flexible side chains were prepared through esterification reactions, forming 2,3-dihydroxyl-BDC and
2,5-dihydroxyl-BDC [76]. The breathing behavior of the pillar-layered MOFs [Zn2(functionalized-BDC)2
(DABCO)]n was tailored with various functional groups, illustrated in Figure 26. The dangling
substituted groups form stronger attraction forces (van der Waal, hydrogen bonding, or π–π
interactions), yielding more contraction of unit cell volume, ranging from 86% to 72% (Figure 27). However, if the linker is substituted at Positions 2 and 3 of BDC ligands, the frameworks become
much rigid, compared with those formed from 2,5-di-substituted ones. Furthermore, several derivatives of 1,4-benzenedicarboxylic acid (BDC)-based organic linkers with
flexible side chains were prepared through esterification reactions, forming 2,3-dihydroxyl-BDC and
2,5-dihydroxyl-BDC [76]. The breathing behavior of the pillar-layered MOFs [Zn2(functionalized-BDC)2
(DABCO)]n was tailored with various functional groups, illustrated in Figure 26. The dangling
substituted groups form stronger attraction forces (van der Waal, hydrogen bonding, or π–π
interactions), yielding more contraction of unit cell volume, ranging from 86% to 72% (Figure 27). However, if the linker is substituted at Positions 2 and 3 of BDC ligands, the frameworks become
much rigid, compared with those formed from 2,5-di-substituted ones. Materials 2014, 7 e, several derivatives of 1,4-benzenedicarboxylic acid (BDC)-based organic linkers with Furthermore, several derivatives of 1,4-benzenedicarboxylic acid (BDC)-based organic linkers with
flexible side chains were prepared through esterification reactions, forming 2,3-dihydroxyl-BDC and
2,5-dihydroxyl-BDC [76]. The breathing behavior of the pillar-layered MOFs [Zn2(functionalized-BDC)2
(DABCO)]n was tailored with various functional groups, illustrated in Figure 26. The dangling
substituted groups form stronger attraction forces (van der Waal, hydrogen bonding, or π–π
interactions), yielding more contraction of unit cell volume, ranging from 86% to 72% (Figure 27). However, if the linker is substituted at Positions 2 and 3 of BDC ligands, the frameworks become
much rigid, compared with those formed from 2,5-di-substituted ones. Furthermore, several derivatives of 1,4-benzenedicarboxylic acid (BDC)-based organic linkers with
flexible side chains were prepared through esterification reactions, forming 2,3-dihydroxyl-BDC and
2,5-dihydroxyl-BDC [76]. The breathing behavior of the pillar-layered MOFs [Zn2(functionalized-BDC)2
(DABCO)]n was tailored with various functional groups, illustrated in Figure 26. The dangling
substituted groups form stronger attraction forces (van der Waal, hydrogen bonding, or π–π
interactions), yielding more contraction of unit cell volume, ranging from 86% to 72% (Figure 27). However, if the linker is substituted at Positions 2 and 3 of BDC ligands, the frameworks become
much rigid, compared with those formed from 2,5-di-substituted ones. The chemical treatment can decorate the channels of MOF frameworks with controlled and
various functionalities. The approach is very suitable for applications in molecule recognition via
several types of interaction, such as van der Waals force, hydrogen bonds between MOF frameworks
and substrates [153]. The authors proposed three approaches to tune the functionalities of MOFs in
differential microenvironment: (1) the formation of cubic nets as interpenetrating frameworks, by
combining paddle-wheel clusters M2(COO)4 and dicarboxylic acid (BDC), and pillar bi-dentate organic
linkers. By changing the organic linker from 4,4-bipyridine (4,4′-Bipy) to trans-bis(4-pyridyl)-ethylene
(4,4′-Bpe), the resulting MOFs exhibit selective sorption towards H2 and CO2 and selective separation
of linear and branched isomers (Figure 28) [154]; (2) immobilization of open metal centers (Cu2+)
within channels showing extraordinarily high acetylene storage at room temperature, making the 3231 Materials 2014, 7 Materials 2014, 7 Materials 2014, 7 3233 Materials 2014, 7 Materials 2014, 7 Materials 2014, 7 transportation of high density acetylene storage for industrial processes (Figure 29) [155]; (3)
immobilization of open metal centers using coordinating ligands, such as Schiff base, for separation. Figure 26. Chemical structure of derivatives of 2,3-dihydroxyl-BDC and 2,5-dihydroxyl-BDC. Reprinted with permission from [76]. Copyright 2012 American Chemical Society. e 26. Chemical structure of derivatives of 2,3-dihydroxyl-BDC and 2,5-dihydroxyl-BDC. nted with permission from [76]. Copyright 2012 American Chemical Society. Figure 27. The volume contraction of various functionalized MOFs [Zn2(functionalized-
BDC)2(DABCO)]n. Reprinted with permission from [76]. Copyright 2012 American
Chemical Society. Figure 27. The volume contraction of various functionalized MOFs [Zn2(functionalized-
BDC)2(DABCO)]n. Reprinted with permission from [76]. Copyright 2012 American
Chemical Society. 3232 Materials 2014, 7 Figure 28. MOF using M2(COO)4 as the metal node, and 4,4′-Bpe as the organic linker. The MOF exhibits selective adsorptions towards (a) H2 and (b) CO2. Reprinted with
permission from [154]. Copyright 2007 American Chemical Society. Figure 28. MOF using M2(COO)4 as the metal node, and 4,4′-Bpe as the organic linker. The MOF exhibits selective adsorptions towards (a) H2 and (b) CO2. Reprinted with
permission from [154]. Copyright 2007 American Chemical Society. Figure 28. MOF using M2(COO)4 as the metal node, and 4,4′-Bpe as the organic linker. The MOF exhibits selective adsorptions towards (a) H2 and (b) CO2. Reprinted with
permission from [154]. Copyright 2007 American Chemical Society. Figure 29. (Left) crystal structures of (a) HKUST-1; (b) MOF-505; (c) MOF-508;
(d) MIL-53; (e) MOF-5; and (f) ZIF-8, in which (a) and (b) show open Cu2+ sites (green). (Right) the C2H2 adsorption isotherms of several MOFs, HKUST-1 (black); MOF-505
(red); MOF-508 (green); MIL-53 (blue); MOF-5 (cyan); and ZIF-8 (magenta). Reprinted
with permission from [155]. Copyright 2009 American Chemical Society. Figure 29. (Left) crystal structures of (a) HKUST-1; (b) MOF-505; (c) MOF-508;
(d) MIL-53; (e) MOF-5; and (f) ZIF-8, in which (a) and (b) show open Cu2+ sites (green). (Right) the C2H2 adsorption isotherms of several MOFs, HKUST-1 (black); MOF-505
(red); MOF-508 (green); MIL-53 (blue); MOF-5 (cyan); and ZIF-8 (magenta). Reprinted
with permission from [155]. Copyright 2009 American Chemical Society. 5.2. Mixed Organic Linkers The breathing behavior, adsorption capacity, selectivity, and thermo-mechanical property of
MOFs can be tuned by mixing various organic linkers. Yaghi’s group synthesized 18 one-phase
multivariate (MTV) MOF-5s that contains distinct functionalities, using 8 types of functionalized
1,4-benzenedicarboxylate (BDC) as organic linkers, shown in Figure 30 [144]. Compared with
un-functionalized MOF-5, the resulted MOFs exhibits enhanced H2 uptake capacities (84%, maximum),
and improved CO2/CO selectivity (400%), shown in Figure 31. Similarly, an improved CO2/N2 selectivity
was reported by Costantino’s group using mixed organic linkers, in which a water-stable isoreticular
phosphonate MOFs are successfully formed [156]. Farrusseng’s group synthesized a series of MIL-53s
using various ratio of BDC and amino-substituted BDC [124]. The resulted MOFs show smaller
micropore volume as the adopted functionalized BDC content is increased. The higher content of
amino groups leads to higher Henry constants, yielding lower lp-to-np phase transition pressure and
higher np-to-lp phase transition pressure, as well as the gas adsorption capacity. It is noted that the
altered phase-transition temperature of MOFs synthesized from the mixed-linker approach also affects
their thermo-mechanical properties, recently reported by Fischer’s group, depending on the chain
length and the hydrophobicity of the functionalized groups [146]. Figure 30. MTV-MOF-5 equipped with distinct functionalities in one phase. Reprinted
with permission from [144]. Copyright 2010, American Association for the Advancement
of Science. 3234 Materials 2014, 7 Materials 2014, 7 Figure 31. Several MTV-MOF-5s exhibit enhanced CO2/CO selectivity. E: NO2-BDC;
H: (C3H5O)2-BDC; I: (C7H7O)2-BDC. Reprinted with permission from [144]. Copyright
2010, American Association for the Advancement of Science. 5.3. Different Metal Nodes 5.3. Different Metal Nodes 5.3. Different Metal Nodes Gascon’s group investigated the effect of metal node on the breathing behaviors of MOFs [147]. In their study, Al, Ga, and In were successfully used as various metal nodes to synthesize
amino-functionalized MIL-53s. Measurements of CO2 adsorption on these MOFs showed that
NH2-MIL-53(Al) displayed a Langmuir isotherm (Type I) while its Ga- and In-derivatives exhibited
stepped isotherms respectively, shown in Figure 32. The presence of stepped isotherm was attributed
to the existence of observable vnp form in NH2-MIL-53(Ga) and NH2-MIL-53(In), which are oriented
from the electropositivity of the metals. The distance between amine groups of organic liners and Oμ2
of a metal node decreases in the order of Al < Ga < In, showing a stronger acidity of μ2-OH in
NH2-MIL-53(In) which in turn modulated the resulted breathing behaviors. MIL-47 and MIL-53 are iso-structural MOFs with different metal centers. The former has VIV as its
metal centers, and the later has AlIII or CrIII as its metal nodes. The existence of corner-sharing μ2-OH
groups in MIL-53 framework contribute to it framework flexibility. However, the presence of μ2-oxo
groups in MIL-47 framework yields the rigidity of its framework. Hence, MIL-47 only shows as
a microporous material and exhibits no breathing behaviors [47,99]. How does the framework
functionality affect their gas adsorption behaviors and breathing phenomena? NH2-MIL-47 shows less CH4 and CO2 adsorption capacities compared with MIL-47 at 30 °C within
test pressure range [157]. The declined gas adsorption capacity is owing to the presence of dangling
amino-groups in the pores, yielding a decrease in the pore volume (from 0.46 mL/g to 0.40 mL/g). However, the presence of NH2 groups doesn’t affect significantly the affinity towards CO2 and CH4
molecules. This feature results in a similar separation factor of CO2 and CH4 between NH2-MIL-47
and MIL-47. The separation factor of CO2 and CH4 is defined as the ratio of Henry adsorption
constants of CO2 over CH4. The absence of significant change on the CO2 and CH4 affinities could be 3235 Materials 2014, 7 Materials 2014, 7 Materials 2014, 7 3236 Materials 2014, 7 Materials 2014, 7 due to the rigidity of NH2-MIL-47 framework. DFT analyses indicate that the adsorption of CO2
molecules is preferred towards NH2 groups in NH2-MIL-47, due to strong electrostatic interactions
between the adsorbate carbon and the negative charge of the nitrogen. Similar results can be noticed on
F-MIL-47 framework [151], and NH2-MOF-5 (IRMOF-3) [158]. Figure 32. CO2 adsorption isotherms at 273 K. (a) 120 kPa; (b) 3.5 MPa. Red:
NH2-MIL-53(Al); Blue: NH2-MIL-53(Ga); Black: NH2-MIL-53(In). Reprinted with
permission from [147]. Copyright 2012 American Chemical Society. NH2-MIL-53(Al); Blue: NH2-MIL-53(Ga); Black: NH2-MIL-53(In). Reprinted with
permission from [147]. Copyright 2012 American Chemical Society. Similarly, Loiseau’s group [119] reported the effect of metal identity on the breathing behavior of
MIL-53s, in which MIL-53(Ga) exhibits the breathing behavior upon dehydration-hydration cycle, due
to the presence of μ2-hydroxo linkages in its framework. An intermediary phase showing two types of
closed channels was observed, in which one type of channels has a strong hydrogen-bond guest-host
interaction, while the other type has a weak hydrogen-bond interaction. These interactions contribute
to the thermal stability of np-form of MIL-53(Ga) and MIL-53(Fe). MIL-53(Al) demonstrates better
thermal stability of lp framework without the presence of the intermediary np form. The effect of metal
identity on the framework thermal stability follows: Al > Ga > Fe. Similarly, Loiseau’s group [119] reported the effect of metal identity on the breathing behavior of
MIL-53s, in which MIL-53(Ga) exhibits the breathing behavior upon dehydration-hydration cycle, due
to the presence of μ2-hydroxo linkages in its framework. An intermediary phase showing two types of
closed channels was observed, in which one type of channels has a strong hydrogen-bond guest-host
interaction, while the other type has a weak hydrogen-bond interaction. These interactions contribute
to the thermal stability of np-form of MIL-53(Ga) and MIL-53(Fe). MIL-53(Al) demonstrates better
thermal stability of lp framework without the presence of the intermediary np form. The effect of metal
identity on the framework thermal stability follows: Al > Ga > Fe. 5.4. Mixing Metal Nodes Tuning the breathing behavior of MOFs can be achieved via mixing cations or altering the valence
of metal cations. As aforementioned, MIL-47(VIV) is a rigid MOF. Its framework can demonstrate the
flexibility or even the breathing behavior using biphenyl-4,4′-dicarboxylate as the organic linker [159]
or using high mechanical pressure [160]. Clet’s group reported to activate the flexibility of MIL-47(V)
by changing the metal valence from VIV to VIII [161]. The framework of hydrated MIL-47(VIII) adopts
the np form, which is in contrast to the lp form of MIL-47(VIV). The reversible thermal response of
MIL-47(VIII) is similar with MIL-53(Fe), following the framework transition of np → cp → int → lp
as the temperature increases. The breathing behavior of MIL-47(VIII) is exhibited by the adsorption of
CO2, in which presents a stepped adsorption isotherm shown in Figure 33. This flexibility is owing to
the presence of μ2-OH groups in MIL-47(VIII) and is gradually diminished as the fraction of VIV in
MIL-47(VIII/VIV) increases. The flexibility of MIL47(VIV) can be also induced by doping various
amount of AlIII ions into its framework [162]. The presence of vanadyl units in pseudo-octahedral or
square-pyramidal geometry might contribute to the breathing behavior of MIL-47(AlIII/VIV) upon the
CO2 adsorption. Figure 33. CO2 adsorption isotherms at 303 K. (a) MIL-47(VIII); (b) MIL-47(VIV). Symbols: ■—adsorbed CO2; ◊—fraction of narrow pores in MOF determined by Raman
spectra. Reprinted with permission from [161]. Copyright 2011 American Chemical Society. Figure 33. CO2 adsorption isotherms at 303 K. (a) MIL-47(VIII); (b) MIL-47(VIV). Symbols: ■—adsorbed CO2; ◊—fraction of narrow pores in MOF determined by Raman
spectra. Reprinted with permission from [161]. Copyright 2011 American Chemical Society. Using a mixture of Fe-Cr as cations, Serre’s group was able to tune the breathing behaviors by
taking advantage of the nature of cation ions upon the hydration-dehydration cycle [96]. While
those solids are hydrated, they all adopted the np form; whereas MIL-53(Cr) and MIL-53(Fe)
change to the lp form and a closed pore (cp) form respectively, under dehydrated conditions. This
is caused by the departure of H2O molecules, yielding the cp-form structure followed by the lp
form. However, the thermal response behavior of MIL-53(FeII/III/VIII/IV) becomes different,
depending on the Fe/V ratio [163]. For Fe-rich MIL-53(FeII/VIII), its framework transforms
reversibly from np → int → lp upon the hydration and dehydration cycle (Figure 34a). 5.4. Mixing Metal Nodes However, Using a mixture of Fe-Cr as cations, Serre’s group was able to tune the breathing behaviors by
taking advantage of the nature of cation ions upon the hydration-dehydration cycle [96]. While
those solids are hydrated, they all adopted the np form; whereas MIL-53(Cr) and MIL-53(Fe)
change to the lp form and a closed pore (cp) form respectively, under dehydrated conditions. This
is caused by the departure of H2O molecules, yielding the cp-form structure followed by the lp
form. However, the thermal response behavior of MIL-53(FeII/III/VIII/IV) becomes different,
depending on the Fe/V ratio [163]. For Fe-rich MIL-53(FeII/VIII), its framework transforms
reversibly from np → int → lp upon the hydration and dehydration cycle (Figure 34a). However, Using a mixture of Fe-Cr as cations, Serre’s group was able to tune the breathing behaviors by
taking advantage of the nature of cation ions upon the hydration-dehydration cycle [96]. While
those solids are hydrated, they all adopted the np form; whereas MIL-53(Cr) and MIL-53(Fe)
change to the lp form and a closed pore (cp) form respectively, under dehydrated conditions. This
is caused by the departure of H2O molecules, yielding the cp-form structure followed by the lp
form. However, the thermal response behavior of MIL-53(FeII/III/VIII/IV) becomes different,
depending on the Fe/V ratio [163]. For Fe-rich MIL-53(FeII/VIII), its framework transforms
reversibly from np → int → lp upon the hydration and dehydration cycle (Figure 34a). However, Using a mixture of Fe-Cr as cations, Serre’s group was able to tune the breathing behaviors by
taking advantage of the nature of cation ions upon the hydration-dehydration cycle [96]. While
those solids are hydrated, they all adopted the np form; whereas MIL-53(Cr) and MIL-53(Fe)
change to the lp form and a closed pore (cp) form respectively, under dehydrated conditions. This
is caused by the departure of H2O molecules, yielding the cp-form structure followed by the lp
form. However, the thermal response behavior of MIL-53(FeII/III/VIII/IV) becomes different,
depending on the Fe/V ratio [163]. For Fe-rich MIL-53(FeII/VIII), its framework transforms
reversibly from np → int → lp upon the hydration and dehydration cycle (Figure 34a). However, 3237 Materials 2014, 7 the framework shows irreversible transition into the lp form upon heating when the Fe/V ratio is 1,
shown in Figure 34b. The modulation of breathing behaviors by mixing cations is also reported by
Biradha’s group in {[M(L)2(H2O)2]·(ClO4)2·2(CH3OH)·2(CHCl3)·4(H2O)}n (M = Zn(II), Cd(II);
L = benzene-1,3,5-triyltriisonicotinate) [164]. 5.4. Mixing Metal Nodes The MOFs using a mixture of Zn and Cd show
higher N2 adsorption capacity compared with each parent material. Figure 34. (a) Temperature variation of PXRD patterns of MIL-53(FeII/VIII) upon heating;
(b) room temperature PXRD patterns of MIL-53(FeII/VIII) calcined at 573 K. Reprinted
with permission from [163]. Copyright 2013 American Chemical Society. p
[
]
py g
y
6. Outlooks
In addition to the dimensionality of organic ligands and metal clusters, it is clearly noticeable that
those MOFs exhibiting the breathing behavior have two common features: (1) non-rigid areas, or weak
points, appear in the frameworks and (2) a free space within the framework to accommodate the steric
hindrance of the movements of weak points [7]. Hence, some empirical rules have been developed to
predict the presence of weak points in MOFs: (1) inorganic clusters might possess a mirror plane with
the organic ligands in symmetrical position; (2) O–O axes of carboxylates are perpendicular to the
elongation axis. Similar requirement can be noticed very recently [159]; (3) include even cycles at the
level of the cluster and/or at the level of the topology of the skeleton; (4) the ratio C/M should be ≥2,
whereas C is the number of carbons of the carboxylate surrounding the cluster, and M is the number of
metallic atoms within the cluster; (5) breathing effects can only occur with ditopic carboxylates, but
not on MOFs with tri- or tetratopic ligands. In addition, it is reported that the metal centers must
possess μ2-hydroxyl groups that are preferred interacting sites for adsorbates, leading to the flexibility
point. The presence of μ2-oxo groups in MIL-47 (VIV) still contribute to the rigidity of framework even
though all above conditions are satisfied [161]. Furthermore, more flexible MOFs showing phenomenal
breathing behaviors are synthesized via tritopic ligands [81,165] or tetratopic ligands [11,166]. The flexibility is evolved from even cycles in their skeleton topologies, despite of forming odd cycles 6. Outlooks Materials 2014, 7 Materials 2014, 7 Materials 2014, 7 at the cluster level. An alternative approach is to create additional “kneecaps” (rotating moiety) within
a bulky organic ligand (semi-rigid ligand), shown in Scheme Ι. Upon exposing to external stimuli,
the twisted organic ligands lead to the framework flexibility. Scheme Ι. The illustration of “breathing” MOFs synthesized using semi-rigid ligands. Green spheres mean metal nodes, gray rods mean rigid organic ligands, and blue
components mean flexible or rotating ligands. Reprinted with permission from [166]. Copyright 2014 American Chemical Society. Recently, Huang et al. [4] reported a breathing MOFs [Zn3(OH)2(btca)2]·DMF·4H2O
(H2btca = benzotriazole-5-carboxylic acid). The detail structure analysis indicates that all above
conditions are satisfied; however an isostructural MOF [Co3(OH)2(btca)2]·3.7H2O doesn’t exhibit the
breathing effect upon dehydration [167], suggesting the breathing phenomenon of MOFs is a
synergetic effect from the coordination of metal centers, and the strength of host–guest and
guest–guest interactions. The author claimed that the formation of zigzag rod structure in parallel with
the channel direction should be taken into the consideration, which was supported by O’Keeffe’s
prediction [63]. Recently, Huang et al. [4] reported a breathing MOFs [Zn3(OH)2(btca)2]·DMF·4H2O
(H2btca = benzotriazole-5-carboxylic acid). The detail structure analysis indicates that all above
conditions are satisfied; however an isostructural MOF [Co3(OH)2(btca)2]·3.7H2O doesn’t exhibit the
breathing effect upon dehydration [167], suggesting the breathing phenomenon of MOFs is a
synergetic effect from the coordination of metal centers, and the strength of host–guest and
guest–guest interactions. The author claimed that the formation of zigzag rod structure in parallel with
the channel direction should be taken into the consideration, which was supported by O’Keeffe’s
prediction [63]. 6. Outlooks In addition to the dimensionality of organic ligands and metal clusters, it is clearly noticeable that
those MOFs exhibiting the breathing behavior have two common features: (1) non-rigid areas, or weak
points, appear in the frameworks and (2) a free space within the framework to accommodate the steric
hindrance of the movements of weak points [7]. Hence, some empirical rules have been developed to
predict the presence of weak points in MOFs: (1) inorganic clusters might possess a mirror plane with
the organic ligands in symmetrical position; (2) O–O axes of carboxylates are perpendicular to the
elongation axis. Similar requirement can be noticed very recently [159]; (3) include even cycles at the
level of the cluster and/or at the level of the topology of the skeleton; (4) the ratio C/M should be ≥2,
whereas C is the number of carbons of the carboxylate surrounding the cluster, and M is the number of
metallic atoms within the cluster; (5) breathing effects can only occur with ditopic carboxylates, but
not on MOFs with tri- or tetratopic ligands. In addition, it is reported that the metal centers must
possess μ2-hydroxyl groups that are preferred interacting sites for adsorbates, leading to the flexibility
point. The presence of μ2-oxo groups in MIL-47 (VIV) still contribute to the rigidity of framework even
though all above conditions are satisfied [161]. Furthermore, more flexible MOFs showing phenomenal
breathing behaviors are synthesized via tritopic ligands [81,165] or tetratopic ligands [11,166]. The flexibility is evolved from even cycles in their skeleton topologies, despite of forming odd cycles 3238 Materials 2014, 7 Materials 2014, 7 function theory (DFT) and molecular dynamic simulations. Both approaches indicate that the breathing
behaviors of MOFs evolve from synergetic effects of coordination symmetry of metal nodes and
rotatable axis of organic ligands, as well as strong guest-host interactions. Post-synthetic modifications
and pre-functionalized organic ligands are accommodated to rationally design the extent of breathing
behaviors. Syntheses of MOFs are mainly conducted in solvothermal conditions, in which the cost and
recovery of organic solvents becomes the major hurdle for large-scale production. Exploring viable
hydrothermal synthesis conditions of MOFs are commensurate with the design strategies towards
the breathing of MOFs. Author Contributions The authors contributed equally to this work. The authors contributed equally to this work. Acknowledgments The authors are grateful for the financial support from the Department of Chemical Engineering
at Ryerson University, Faculty of Engineering and Architectural Science (FEAS) at Ryerson
University, Ryerson Library Open Access Fund of the Library at Ryerson University, and Natural
Sciences and Engineering Research Council of Canada-Discovery Grant (NSERC-DG). Conflicts of Interest The authors declare no conflict of interest. The authors declare no conflict of interest. 7. Conclusions Metal-organic frameworks (MOFs) have gained intense research attention in applications of gas
adsorption/storage, gas separation, catalysts for fine chemicals, and biomedical imaging, among others,
due to their unprecedented large surface area, tunable framework functionality, decent thermal
stability, and the most striking phenomenon of framework flexibility (breathing). The breathing
behaviors are characterized using in situ X-ray diffraction, gas adsorption, and nuclear magnetic
resonance spectroscopy upon the exposure of various external stimuli, such as heat, pressure, and
gases. Theoretical calculations are used to elucidate the principles of breathing behaviors using density 3239 References Effects of solvation on the framework of a breathing
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Denayer, J.F.M.; Gascon, J.; Kapteijn, F. Complexity behind CO2 capture on NH2-MIL-53(Al). Langmuir 2011, 27, 3970–3976. Materials 2014, 7 3247 Materials 2014, 7 114. Millange, F.; Guillou, N.; Walton, R.I.; Grenèche, J.M.; Margiolaki, I.; Férey, G. Effect of the
nature of the metal on the breathing steps in MOFs with dynamic frameworks. Chem. Commun. 2008, 39, 4732–4734. 114. Millange, F.; Guillou, N.; Walton, R.I.; Grenèche, J.M.; Margiolaki, I.; Férey, G. Effect of the
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and
amine
functionality
in
NH2-MIL-53:
Modulating
breathing
behavior
through
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distributed under the terms and conditions of the Creative Commons Attribution license
(http://creativecommons.org/licenses/by/3.0/). Materials 2014, 7 © 2014 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 license
(http://creativecommons.org/licenses/by/3.0/). © 2014 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 license
(http://creativecommons.org/licenses/by/3.0/).
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Original article Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 Wikidata as a semantic framework for the Gene
Wiki initiative Sebastian Burgstaller-Muehlbacher1, Andra Waagmeester2,
Elvira Mitraka3, Julia Turner1, Tim Putman1, Justin Leong4,
Chinmay Naik5, Paul Pavlidis4, Lynn Schriml3, Benjamin M Good1,* and
Andrew I Su1,* 1The Scripps Research Institute, La Jolla, CA, USA, 2micelio.be, Antwerp, Belgium, 3University of Maryland
Baltimore, Baltimore, MD, USA, 4The University of British Columbia, Vancouver, British Columbia, Canada
and, 5Bangalore Inst. Of Technology, Visvesvaraya Technological University, Bangalore, Karnataka *Corresponding author: Email: bgood@scripps.edu, asu@scripps.edu *Corresponding author: Email: bgood@scripps.edu, asu@scripps.edu Citation details: Burgstaller-Muehlbacher,S., Waagmeester,A., Mitraka,E. et al. Wikidata as a semantic framework for the
gene wiki initiative. Database (2016) Vol. 2016: article ID baw015; doi:10.1093/database/baw015 tion details: Burgstaller-Muehlbacher,S., Waagmeester,A., Mitraka,E. et al. Wikidata as a semantic framework for th
e wiki initiative. Database (2016) Vol. 2016: article ID baw015; doi:10.1093/database/baw015 Received 7 November 2015; Revised 30 December 2015; Accepted 1 February 2016 V
C The Author(s) 2016. Published by Oxford University Press.
Page 1 of 10
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. Database, 2016, 1–10
doi: 10.1093/database/baw015
Original article V
C The Author(s) 2016. Published by Oxford University Press. e Author(s) 2016. Published by Oxford University Press.
is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licen
stricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Database URL: https://www.wikidata.org/ Introduction triples. The subject of the triple is the Wikidata item on
which the claim appears, the predicate is a Wikidata prop-
erty, and the object is a date, a string, a quantity, a URL or
another Wikidata item. For example, the claim that
Rosalind Franklin received her Ph.D. at the University of
Cambridge is represented as Q7474 (Rosalind Franklin) -
P69 (educated at) - Q35794 (University of Cambridge). Claims can be further amended with qualifiers (to indicate
the context in which the triple is valid), and references can
be added to indicate the provenance of the claim. The over-
all combination of a claim and references is referred to as a
‘statement’. A full description of the Wikidata data model
can
be
found
at
https://www.mediawiki.org/wiki/
Wikibase/DataModel/Primer. Wikipedia (www.wikipedia.org) is a well-established en-
cyclopedia and collection of free form text, operated by the
Wikimedia Foundation and edited by thousands of volun-
teer editors. As the seventh most-visited site on the Internet
(http://www.alexa.com/topsites), Wikipedia has articles on
a broad range of topics. With respect to molecular biology
articles, at least two systematic efforts have been described,
both initiated in 2007. The RNA Wikiproject created
600 new Wikipedia articles on non-coding RNA families
(1). In parallel, our Gene Wiki team created a collection of
8000 Wikipedia articles on human genes (2). Since its in-
ception, the Gene Wiki has grown into an integral and
strongly interlinked part of the English Wikipedia, now
counting >11 000 articles (3, 4). The Gene Wiki articles
have been expanded by the Wikipedia community and are
highly accessed by users of Wikipedia, collectively viewed
>4 million times per month (according to http://stats.grok. se/en/). Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/b A primary motivation for creating Wikidata was ena-
bling easy accessibility by all language-specific Wikipedias. Now, statements about any Wikidata item can be dis-
played in the context of any Wikipedia item. This process
is facilitated by ‘interwiki links’ that establish connections
between structured Wikidata items and the Wikipedia art-
icles they are most closely related to. All major projects
from the Wikimedia Foundation, including the language-
specific Wikipedias, are linked to Wikidata using interwiki
links. These links can be established between any existing
Wikidata item and other MediaWiki content pages, e.g. Wikipedia articles. Introduction Currently, a single Wikidata item can
have an interwiki link to many different language-specific
Wikipedia articles on the same topic. In return, this setup
allows for all linked language-specific Wikipedia articles to
access data from the central Wikidata item. Importantly, a
Wikipedia article in a certain language can only have one
interwiki link to a Wikidata item and a Wikidata item can
only be linked to one single Wikipedia article in a certain
language. Of note, the interwiki links are also used to or-
ganize the links to other language versions of a Wikipedia
article, visible in the sidebar of many Wikipedia articles. This system has the advantage that data are stored once in
Wikidata, and then made available for reuse across the en-
tire Wikimedia universe. Gene Wiki articles consist of two central parts, the free
text and the Gene Wiki infobox. The free text represents a
review of a gene’s function, biological role and impact on
human health and disease. The Gene Wiki infobox pro-
vides structured data on the human gene and protein, and
the orthologous mouse gene and protein. The data in the
infobox comprises standardized identifiers and chromo-
some coordinates as well as functional annotation with
Gene Ontology terms (5), structural information from the
Protein Data Bank (PDB) (6) and tissue-specific gene ex-
pression (7) (e.g. https://en.wikipedia.org/wiki/Reelin). Wikipedia has proven a highly effective medium for col-
laboratively capturing unstructured text, but is technically
lacking facilities for authoring structured data. Several at-
tempts have been made to better represent structured data
within Wikipedia (8, 9). In late 2012, the Wikidata project
(www.wikidata.org) was launched with the goal of creat-
ing an open, structured knowledge repository to comple-
ment and facilitate the unstructured content in Wikipedia
(10). Like all other Wikimedia projects, Wikidata can be
edited by anyone, and maintains an extensive version his-
tory for every item to allow for easy comparisons or rever-
sions to past states. All content in Wikidata is licensed
under CC0 (https://creativecommons.org/about/cc0) and
therefore can be used by anyone without restrictions. Wikidata enables programmatic querying and access
outside of the Wikipedia context. Specifically, Wikidata
offers a Representational State Transfer (REST) API to eas-
ily perform structured data queries and retrieve Wikidata
statements in structured formats. Abstract Open biological data are distributed over many resources making them challenging to in-
tegrate, to update and to disseminate quickly. Wikidata is a growing, open community
database which can serve this purpose and also provides tight integration with Wikipedia. In order to improve the state of biological data, facilitate data management and dissemin-
ation, we imported all human and mouse genes, and all human and mouse proteins into
Wikidata. In total, 59 721 human genes and 73 355 mouse genes have been imported from
NCBI and 27 306 human proteins and 16 728 mouse proteins have been imported from the
Swissprot subset of UniProt. As Wikidata is open and can be edited by anybody, our cor-
pus of imported data serves as the starting point for integration of further data by scien-
tists, the Wikidata community and citizen scientists alike. The first use case for these data
is to populate Wikipedia Gene Wiki infoboxes directly from Wikidata with the data inte-
grated above. This enables immediate updates of the Gene Wiki infoboxes as soon as the
data in Wikidata are modified. Although Gene Wiki pages are currently only on the English
language version of Wikipedia, the multilingual nature of Wikidata allows for usage of the
data we imported in all 280 different language Wikipedias. Apart from the Gene Wiki info-
box use case, a SPARQL endpoint and exporting functionality to several standard formats
(e.g. JSON, XML) enable use of the data by scientists. In summary, we created a fully open and extensible data resource for human and mouse
molecular biology and biochemistry data. This resource enriches all the Wikipedias with
structured information and serves as a new linking hub for the biological semantic web. Database URL: https://www.wikidata.org/ Database URL: https://www.wikidata.org/ V
C The Author(s) 2016. Published by Oxford University Press. Page 1 of 10
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. (page number not for citation purposes) (page number not for citation purposes) Database, Vol. 2016, Article ID baw015 Page 2 of 10 Data import and data maintenance In order to implement a data model in Wikidata and to
populate this data model with data, two types of commu-
nity processes need to be passed. The properties required
for the data model need to be proposed to and discussed by
the community and if consensus can be reached, the prop-
erty will be created in Wikidata. Furthermore, large scale
data import to Wikidata can only be done with a bot user
account, which has enhanced write permissions compared
to a standard user account. Bot user accounts also go
through a community approval process, in order to deter-
mine if they are performing beneficial tasks and if they are
operating reliably. For the present project, we successfully
proposed a series of properties required for our data model
and also reached community consensus on the usefulness
of our bots task. Introduction In addition, more com-
plex queries are possible via a SPARQL Protocol and RDF
Query Language (SPARQL) endpoint (https://query.wiki
data.org) and a custom-built WikiData Query (WDQ) tool
(http://wdq.wmflabs.org/wdq/). Wikidata consists of two entity types – items (e.g. https://www.wikidata.org/wiki/Q7474 for Rosalind Frank-
lin) and properties (e.g. https://www.wikidata.org/wiki/
Property:P351 for NCBI Entrez gene ID)—and every entity
is assigned a unique identifier. Wikidata items and proper-
ties all have a label, a description and aliases (Figure 1). Every item record contains a list of claims in the form of In this work, we describe our efforts to migrate our
Gene Wiki bot from English Wikipedia to Wikidata. This
system offers significant advantages with respect to main-
tainability of the data, accessibility within the Wikipedia Database, Vol. 2016, Article ID baw015 Page 3 of 10 and HGNC IDs were also added to each gene item (24). For mouse gene nomenclature, the Jackson Laboratory
Mouse Genome Informatics (MGI) data were used (13). For protein items, we used UniProt as the primary data
source. All protein items received the ‘subclass of’ (P279)
property value ‘protein’ (Q8054). A range of protein anno-
tations were also added, including NCBI RefSeq Protein
IDs (P637), Ensembl Protein IDs (P705), and PDB IDs
(P638). Gene Ontology terms were introduced as separate
Wikidata items, and annotations were added to protein
items
using
three
separate
properties
for
Molecular
Function (P680), Cell Component (P681) and Biological
Process (P682). ecosystem,
and
programmatic
integration
with
other
resources. and HGNC IDs were also added to each gene item (24). For mouse gene nomenclature, the Jackson Laboratory
Mouse Genome Informatics (MGI) data were used (13). For protein items, we used UniProt as the primary data
source. All protein items received the ‘subclass of’ (P279)
property value ‘protein’ (Q8054). A range of protein anno-
tations were also added, including NCBI RefSeq Protein
IDs (P637), Ensembl Protein IDs (P705), and PDB IDs
(P638). Gene Ontology terms were introduced as separate
Wikidata items, and annotations were added to protein
items
using
three
separate
properties
for
Molecular
Function (P680), Cell Component (P681) and Biological
Process (P682). Database construction and usage In collaboration with the Wikidata community, we decided
to implement the representation of genes and proteins in
Wikidata as separate Wikidata items. These gene and pro-
tein items are linked by the reciprocal properties ‘encodes’
(P688) and ‘encoded by’ (P702) carried by genes and pro-
teins, respectively (Figure 2). Furthermore, orthologous
genes between species are reciprocally linked by the prop-
erty
ortholog
(P684)
and
also
link
out
to
NCBI
HomoloGene (11) with the HomoloGene ID (P593). Homologous genes in the HomoloGene database and
therefore also on Wikidata gene items share the same ID
and can also be associated this way. The community dis-
cussion and decision process to establish this model, a very
crucial mechanism in Wikidata, as well as Wikipedia, can
be viewed here: https://www.wikidata.org/wiki/Wikidata_
talk:WikiProject_Molecular_biology. Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 Data model and data sources for Wikidata 2016, Article ID baw015 Page 4 of 10 Figure 1 Wikidata item and data organization. Wikidata items can be added or edited by anyone manually. A Wikidata item consists of: (1) a language-
specific label, (2) its unique identifier, (3) language specific aliases, (4) interwiki links to the different language Wikipedia articles or other Wikimedia pro-
jects and (5) a list of statements. For this specific example, the human protein Reelin was used (https://www.wikidata.org/wiki/Q13569356)
Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/26301 Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/b m/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 Figure 1 Wikidata item and data organization. Wikidata items can be added or edited by anyone manually. A Wikidata item consists of: (1) a language-
specific label, (2) its unique identifier, (3) language specific aliases, (4) interwiki links to the different language Wikipedia articles or other Wikimedia pro-
jects and (5) a list of statements. For this specific example, the human protein Reelin was used (https://www.wikidata.org/wiki/Q13569356) challenge to our data model so far. To prevent and resolve
it, we implemented a bot which can detect and undo these
merges. Since we also unified the interwiki links on the
human genes, these merges have now decreased to zero,
showing the importance of consistent interwiki links. SPARQL
queries
(https://bitbucket.org/sulab/wikidatas
parqlexamples/src). These queries detect inconsistencies in
our data model and, as an ongoing effort, we implemented
bots which execute these SPARQL queries and report and
resolve the inconsistencies detected. In view of Wikidata
being completely open, the number of inconsistencies we
experienced so far is low. Data model and data sources for Wikidata We populated Wikidata with items for all Homo sapiens
(human) genes, Homo sapiens proteins, Mus musculus
(mouse) genes and Mus musculus proteins (Table 1). As
described above, each gene and each protein was repre-
sented as a single Wikidata item. A full list of Wikidata
properties used on gene and protein items is provided in
Table 2. Briefly summarized, for gene items, we imported data
from the latest annotation releases from NCBI (Homo sa-
piens release 107, Mus musculus release 105) and created
statements using many properties, including Entrez Gene
IDs, RefSeq RNA IDs and chromosomal positions (11). Ensembl Gene IDs and Ensembl Transcript IDs were also
imported and added to each gene item in Wikidata (12). Genes were categorized according to eight subclasses. A generic subclass was used to identify a Wikidata item as
a
gene
(Q7187),
for
increased
granularity,
the
subclasses protein coding gene (Q20747295), ncRNA gene
(Q27087),
snRNA
gene
(Q284578),
snoRNA
gene (Q284416), rRNA gene (Q215980), tRNA gene
(Q201448) and pseudo gene (Q277338) were added
(Table 2). Genomic coordinates were encoded using the
properties chromosome (P1057), genomic start (P644),
and genomic end (P645), and the qualifier property
‘GenLoc assembly’ (P659) was used to indicate the corres-
ponding assembly version—GRCh37 (Q21067546) or
GRCh38 (Q20966585). Gene symbols were added based
on the HUGO Gene Nomenclature Committee (HGNC) We implemented the data importing process using
Python (www.python.org) scripts, colloquially termed as
bots by the Wikidata community. We run these bots with
the Wikidata user account ProteinBoxBot (https://www. wikidata.org/wiki/User:ProteinBoxBot). The source code
for the bots is available under GNU AGPLv3 (http://www. gnu.org/licenses/agpl.html) on our Bitbucket repository
(https://bitbucket.org/sulab/wikidatabots/). As our aim was
to establish and also to maintain a high quality data
source, the bots are designed to update the data from their
original sources on a regular basis. Bots are run every few
days to weeks, depending on the data source, to ensure
data being up-to-date. Before our bots write data to a
Wikidata item or create a new item, thorough checks are
being performed to ensure that the correct item has been
selected for writing or an item does not yet exist and so a
new one should be created. Data on Wikidata can be edited by anybody. In order to
keep our data model consistent and to detect accidental er-
roneous modification or potential vandalism of data,
we implemented a set of consistency tests based on Database, Vol. Populating gene wiki infoboxes with data from
wikidata As mentioned in the introduction, interwiki links are
organized in Wikidata. Thus, users from the different lan-
guage Wikipedias aim to link their articles to the same
Wikidata item. The data model in Wikidata therefore
needs to be designed in a way that all interwiki links unam-
biguously are present on the correct Wikidata item. Otherwise, Wikipedia users might be encouraged to merge
items which are separate things in one’s data model. The
several dozens of merges we experienced where the biggest As a first use case of the data, we focused on using the gene
and protein data imported into Wikidata to populate
Wikipedia Gene Wiki infoboxes. In our data model, we
connected Wikipedia Gene Wiki pages to Wikidata human
gene items with interwiki links (Figure 2). Four Wikidata
items are required to fully represent one Gene Wiki info-
box on a Wikipedia article. For this paper, we chose the Page 5 of 10 Database, Vol. 2016, Article ID baw015 Figure 2 Gene Wiki data model in Wikidata. Each entity (human gene, human protein, mouse gene, mouse protein) is represented as a separate
Wikidata item. Arrows represent direct links between Wikidata statements. The English language interwiki link on the human gene item points to the
corresponding Gene Wiki article on the English Wikipedia. Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/b Figure 2 Gene Wiki data model in Wikidata. Each entity (human gene, human protein, mouse gene, mouse protein) is represented as a separate
Wikidata item. Arrows represent direct links between Wikidata statements. The English language interwiki link on the human gene item points to the
corresponding Gene Wiki article on the English Wikipedia. gene RELN (protein Reelin) as an example. Specifically,
the English language Wikipedia page (https://en.wikipedia. org/wiki/Reelin) of Reelin is directly linked to the human
gene Wikidata item (Q414043) with an interwiki link. The
Wikidata human gene item in turn links to the human pro-
tein (Q13561329), mouse gene (Q14331135), and mouse
protein (Q14331165) using the data model described in
Figure 2. at largely replicating the content of the previous, template
based infoboxes. By clicking the Wikidata link in the side-
bar or the infobox of a Gene Wiki page, a user can directly
access the Wikidata item and view or modify the entire
data available on the item. Populating gene wiki infoboxes with data from
wikidata In order to display additional
data in the infoboxes, slight adaptations of the Lua code
are required. Of note, the Lua code can be reused to dis-
play the same infobox on any language version of
Wikipedia. In order for Wikipedia pages to retrieve data from
Wikidata, we used the MediaWiki extension module
Scribunto
(https://www.mediawiki.org/wiki/Extension:S
cribunto), which integrates scripting capabilities based on
the programming language Lua (http://www.lua.org). We
created a new module in Lua code which generates the en-
tire Wikipedia Gene Wiki infobox based on Wikidata data
(https://en.wikipedia.org/wiki/Module:Infobox_gene). The new system has now been deployed on several
Gene Wiki pages within Wikipedia, and we will complete
the migration after extensive testing and community con-
sensus on all implementational details has been reached. Data usage beyond Wikipedia Gene Wiki infoboxes Using this new Wikidata-based infrastructure, a Gene Wiki
infobox can be added to any Wikipedia page for a human
gene by simply adding the markup code ‘{{infobox gene}}’,
provided the Wikipedia page has an interwiki link to a
Wikidata human gene item. Not all data present on the
Wikidata gene and protein items are currently also repre-
sented in the Gene Wiki info boxes, at this stage, we aimed Data from Wikidata can be widely used in any application
of interest. For example, the Gene Wiki infobox could now
be rendered on any website on the Internet. As described in
the introduction, a SPARQL endpoint, WDQ, the sophisti-
cated Mediawiki API and a free text search engine consti-
tute the main ways of querying data. These facilities can
easily be integrated in downstream analysis using Python, Page 6 of 10 Database, Vol. 2016, Article ID baw015 R or any other data analysis language which supports
eamless integration of data from the web. The SPARQL
endpoint should be particularly useful for dynamic data in-
egration. For example, for annotation of deletions in a
cancer genome, it would be useful to know: ‘Which genes,
encoding for proteins, are located on chromosome 9 be-
through the Wikidata endpoint facilitates a single query
that can answer this question immediately (Figure 4). As the data are richly referenced, data origin and valid-
ity of statements can be reviewed instantly. Furthermore,
the unique multilinguality of Wikidata, enabled by multi-
lingual item labels, descriptions, and interwiki links to all
Figure 3 GeneWiki infobox populated with data from Wikidata, using data from Wikidata items Q414043 for the human gene, Q13561329 for human
protein, Q14331135 for the mouse gene and Q14331165 for the mouse protein. Three dots indicate that there is more information in the real Gene
Wiki infobox for Reelin (https://en.wikipedia.org/wiki/Reelin). Page 6 of 10
Database, Vol. 2016, Article ID baw015
Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/b Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 Figure 3 GeneWiki infobox populated with data from Wikidata, using data from Wikidata items Q414043 for the human gene, Q13561329 for human
protein, Q14331135 for the mouse gene and Q14331165 for the mouse protein. Three dots indicate that there is more information in the real Gene
Wiki infobox for Reelin (https://en.wikipedia.org/wiki/Reelin). Discussion We created an open, community editable structured re-
source for all human and mouse genes and proteins using
Wikidata as the technical platform. As a first use case of
this data corpus, we demonstrated a remodelled Wikipedia
Gene Wiki infobox which retrieves its data entirely from
Wikidata, greatly simplifying the maintenance of these
infoboxes. Until now, each of the 280 language-specific
Wikipedias had to independently manage their infobox
data in the context of MediaWiki templates meant for
managing information display, not for storage and re-
trieval. This created significant redundancy, a great risk for
errors and inconsistencies, and out of date data, as the
same data needed to exist in every language-specific
Wikipedia. Now, not only do the Wikipedias benefit from
higher data quality when based on a centralized data re-
pository, Wikidata also benefits from the focused human
effort in the global Wikipedia community. An important aspect of the broad applicability and reus-
ability of Wikidata is its connection to the Semantic Web
and Linked Open Data (Figure 4). Wikidata IDs give genes
and proteins stable Uniform Resource Identifiers (URIs) in
the Semantic Web, which in turn link to other common
identifiers used in the biomedical research community. Moreover, Wikidata provides perhaps the simplest inter-
face for anyone to edit the Semantic Web, which is other-
wise limited by high technical barriers to contribute. Similar or complementary efforts for integration of bio-
medical data are Bio2RDF and SNPedia. Bio2RDF inte-
grates 37 different, well-established biomedical resources
by defining an ontology for each data source and so con-
verting them into normalized RDF documents (18, 19). The Bio2RDF data integration effort currently is consider-
ably
larger
than
our
project. Apart
from
that,
the data models in Wikidata are not based on ontologies,
but
they
are
a
product
of
community
discussion. Only the basic Wikidata data model exists as an ontol-
ogy (https://www.mediawiki.org/wiki/Wikibase/Indexing/
RDF_Dump_Format), which allows all data and data
models in Wikidata to exist within this one ontology,
which simplifies creation of new data models but might
complicate semantic reasoning. Another major difference
is that Wikidata can be edited by any user whereas for
Bio2RDF, additions or corrections need to be performed In addition to these benefits to the Wikipedia commu-
nity, the Gene Wiki effort in Wikidata also offers many
data integration advantages to the biomedical research
community. Data usage beyond Wikipedia Gene Wiki infoboxes Figure 3 GeneWiki infobox populated with data from Wikidata, using data from Wikidata items Q414043 for the human gene, Q13561329 for human
protein, Q14331135 for the mouse gene and Q14331165 for the mouse protein. Three dots indicate that there is more information in the real Gene
Wiki infobox for Reelin (https://en.wikipedia.org/wiki/Reelin). through the Wikidata endpoint facilitates a single query
that can answer this question immediately (Figure 4). R or any other data analysis language which supports
seamless integration of data from the web. The SPARQL
endpoint should be particularly useful for dynamic data in-
tegration. For example, for annotation of deletions in a
cancer genome, it would be useful to know: ‘Which genes,
encoding for proteins, are located on chromosome 9 be-
tween 21 and 30 megabase pairs?’. Content accessible R or any other data analysis language which supports
seamless integration of data from the web. The SPARQL
endpoint should be particularly useful for dynamic data in-
tegration. For example, for annotation of deletions in a
cancer genome, it would be useful to know: ‘Which genes,
encoding for proteins, are located on chromosome 9 be-
tween 21 and 30 megabase pairs?’. Content accessible As the data are richly referenced, data origin and valid-
ity of statements can be reviewed instantly. Furthermore,
the unique multilinguality of Wikidata, enabled by multi-
lingual item labels, descriptions, and interwiki links to all
of the Wikipedias allows the data to be used globally. Database, Vol. 2016, Article ID baw015 Page 7 of 10 to the output of medium-sized biocuration efforts, to indi-
vidual statements added by individual users. We consider
integration of data on human and mouse genes and pro-
teins as the basis also for our own efforts with Wikidata. Figure 4 illustrates how the data could be used by the sci-
entific community. The query returns all protein coding
genes on a certain region of human chromosome 9, the
chromosomal coordinates being based on the human gen-
ome build GRCh38. As NCBI gene nor a different resource
provide a SPARQL endpoint with access to genomic co-
ordinates, to the best of our knowledge, a similar query
cannot be achieved with any other semantic web resource
currently available. As the Gene Ontology terms are at-
tached to human proteins, a slightly modified query would
also allow functional annotation of the gene products, e.g. Data usage beyond Wikipedia Gene Wiki infoboxes for copy number aberrations of cancer genomes, through
executing
a
SPARQL
query. Currently,
tools
like
ANNOVAR (17) provide richer annotation for variants
and mutations, but Wikidata could e.g. prove useful for
fast functional annotation of copy number aberrations in
hereditary disease and cancer sequencing. With Wikidata
growing, also the number of (annotation) use cases will in-
crease. In addition to extending data in the biology and
molecular biology space (e.g. cell lines, non-coding RNAs),
we are currently importing data on human diseases and
drugs. Di
i
Table 1 Overview on Homo sapiens and Mus musculus data
imported to Wikidata
Data source
Item count
Homo sapiens genes
(NCBI release 107)
59 721
Homo sapiens proteins
(Uniprot)
27 306
Mus musculus genes
(NCBI release 105)
73 355
Mus musculus proteins
(Uniprot)
16 728
Gene Ontology terms
17 098 Table 1 Overview on Homo sapiens and Mus musculus data
imported to Wikidata Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/b Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 Discussion Biomedical knowledge is fragmented across
many resources and databases, and small-scale data inte-
gration is an often-repeated exercise in almost every data
analysis project. As for the language-specific Wikipedias,
these small-scale integration efforts are incomplete, ineffi-
cient and error-prone. Instead, users now have the option
of accessing and querying a central biomedical resource
within Wikidata that is already pre-populated with many
key resources and identifiers. While we certainly recognize
that our effort does not yet include every resource in the
biomedical space, Wikidata does empower any user to con-
tribute data from their resource of interest. For example,
any user could easily contribute data from other third
party resources [e.g. International Union of Basic and
Clinical Pharmacology (IUPHAR) (14), DECIPHER (15),
COSMIC (16)] with minimal effort. These contributions
can range from programmatic addition of large databases, Database, Vol. 2016, Article ID baw015 Page 8 of 10 Table 2 Wikidata properties used in this study
Label
Target data type
Property ID
Description
Wikidata gene items
Subclass of
Wikidata item
P279
Defines to what category this item belongs to. Every gene item
carries the value ‘gene’ (Q7187). Further subcategories are protein
coding gene (Q20747295), ncRNA gene (Q27087), snRNA gene
(Q284578), snoRNA gene (Q284416), rRNA gene (Q215980),
tRNA gene (Q201448) and pseudogene (Q277338). Discussion Entrez Gene ID
String
P351
The NCBI gene ID as in annotation release 107
Found in taxon
Wikidata item
P703
The taxon, either Homo sapiens (Q5) or Mus musculus (Q83310)
Ensembl Gene ID
String
P594
Gene ID from the Ensembl database
Ensembl Transcript ID
String
P704
Transcript IDs from the Ensembl database
Gene symbol
String
P353
Human gene symbol according to HUGO Gene Nomenclature Committee
HGNC ID
String
P354
HUGO Gene Nomenclature Committee ID
HomoloGene ID
String
P593
Identifier for the HomoloGene database
NCBI RefSeq RNA ID
String
P639
Chromosome
Wikidata item
P1057
Chromosome a gene is residing on
Ortholog
Wikidata item
P684
Ortholog based on the Homologene database
Genomic start
String
P644
Genomic start according to GRCh37 and GRCh38, sourced from NCBI
Genomic stop
String
P645
Genomic stop according to GRCh37 and GRCh38, sourced from NCBI
Mouse Genome
Informatics ID
String
P671
Jackson lab mouse genome informatics database
encodes
Wikidata item
P688
Protein item a gene encodes
Wikidata protein items
Subclass of
Wikidata item
P279
protein (Q8054)
UniProt ID
String
P352
PDB ID
String
P638
Protein structure IDs from PDB.org
RefSeq protein ID
String
P637
NCBI RefSeq Protein ID
encoded by
Wikidata item
P702
Gene item a protein is encoded by
Ensembl protein ID
String
P705
EC number
String
P591
Enzyme Category number
Protein structure image
Wiki Commons
Media File
P18
Prefered protein structure image retrieved from PDB.org
Cell component
Wikidata item
P681
Gene ontology term items for cell components
Biological process
Wikidata item
P682
Gene ontology term items for biological processes
Molecular function
Wikidata item
P680
Gene ontology term items for molecular function
Column one contains the description as in Wikidata, column two the data type, column three the property number and column four a short description of the
nature of the content. Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 b Table 2 Wikidata properties used in this study Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 genes (21). Compared to Wikidata, SNPedia is restricted to
SNPs and lacks a SPARQL endpoint or similar query capabil-
ities. We do not have immediate plans to integrate SNP data,
but we consider SNPedia a valuable resource which comple-
ments our efforts (22). Should SNP data be integrated into
Wikidata, SNPedia would be either a data source or a re-
source Wikidata SNP items should be linking to. by the maintainers. Discussion Furthermore, integration of smaller
biomedical databases, which exist in large numbers (20),
seems to be easier with Wikidata, whereas Bio2RDF cur-
rently might be better suited for dealing with very large
numbers of triples. Although Bio2RDF users who would
like to integrate their data sources of interest in their ana-
lysis still have the option to create their own Bio2RDF
compatible RDF conversions, we think that having the
data ready to go in a triple store should considerably sim-
plify data analysis. Nevertheless, as both projects attempt
to open biology to the semantic web, exploration of syner-
gies between them seems worthwhile. by the maintainers. Furthermore, integration of smaller
biomedical databases, which exist in large numbers (20),
seems to be easier with Wikidata, whereas Bio2RDF cur-
rently might be better suited for dealing with very large
numbers of triples. Although Bio2RDF users who would
like to integrate their data sources of interest in their ana-
lysis still have the option to create their own Bio2RDF
compatible RDF conversions, we think that having the
data ready to go in a triple store should considerably sim-
plify data analysis. Nevertheless, as both projects attempt
to open biology to the semantic web, exploration of syner-
gies between them seems worthwhile. Other wiki-based initiatives resembling our project, un-
fortunately seem to have ceased to exist (23), which might
be due to difficulties establishing an active community. One major advantage of Wikidata is a large community
with
many
contributors
being
experts
in
the
field. Currently, Wikidata has >16 000 active users (https://
www.wikidata.org/wiki/Special:Statistics). SNPedia is a semantic web enabled wiki for single nucleo-
tide polymorphisms (SNPs) and also provides information on Page 9 of 10 Database, Vol. 2016, Article ID baw015 Downloaded from https://academic.oup.com/database/article/doi/10.1093/database/baw015/2630183 by guest on 24 October 2024 Figure 4 An example SPARQL query, using the Wikidata SPARQL endpoint (query.wikidata.org). It retrieves all Wikidata (WD) items which are of sub-
class protein-coding gene (Q840604), which have a chromosomal start position (P644) according to human genome build GRCh38 and reside on
human chromosome (P659) 9 (Q20966585) and a chromosomal end position (P645) also on chromosome 9. Furthermore, the region of interest is re-
stricted to a chromosomal start position between 21 and 30 megabase pairs. Colors: Red indicates SPARQL commands, blue represents variable
names, green represents URIs and brown are strings. Arrows point to the source code the description applies to. References 1. Daub,J., Gardner,P.P., Tate, J. et al. (2008) The RNA WikiProject:
community annotation of RNA families. RNA, 14, 2462–2464. 1. Daub,J., Gardner,P.P., Tate, J. et al. (2008) The RNA WikiProject:
community annotation of RNA families. RNA, 14, 2462–2464. 2. Huss,J.W. 3rd,Orozco, C., Goodale, J. et al. (2008) A gene wiki
for community annotation of gene function. PLoS Biol., 6, e175. 2. Huss,J.W. 3rd,Orozco, C., Goodale, J. et al. (2008) A gene wiki
for community annotation of gene function. PLoS Biol., 6, e175. 3. Huss,J.W. 3rd, Lindenbaum, P., Martone, M. et al. (2010) The
Gene Wiki: community intelligence applied to human gene anno-
tation. Nucleic Acids Res., 38, D633–D639. 4. Good,B.M., Clarke,E.L., de Alfaro, L. et al. (2012) The Gene
Wiki in 2011: community intelligence applied to human gene an-
notation. Nucleic Acids Res., 40, D1255–D1261. 5. Ashburner,M., Ball,C.A., Blake,J.A. et al. (2000) Gene ontology:
tool for the unification of biology. The Gene Ontology
Consortium. Nat. Genet, 25, 25–29. 6. Berman,H.M., Westbrook, J., Feng, Z. et al. (2000) The Protein
Data Bank. Nucleic Acids Res., 28, 235–242. This work describes our initial effort to seed Wikidata
with data from several key genomics resources. While this
action has direct value to our Gene Wiki project, we hope
and expect this first step to nucleate further growth of sci-
entific data in Wikidata. With sufficient contribution and
participation by the community, Wikidata can evolve into
the most comprehensive, current and collaborative know-
ledge base for biomedical research. 7. Su,A.I., Wiltshire, T., Batalov, S. et al. (2004) A gene atlas of the
mouse and human protein-encoding transcriptomes. Proc. Natl. Acad. Sci. USA, 101, 6062–6067. 8. Good,B.M., Clarke,E.L., Loguercio, S. et al. (2012) Building a
biomedical semantic network in Wikipedia with Semantic Wiki
Links. Database, 2012, bar060. 9. Kr€otzsch,M., Vrandecic, D., V€olkel, M. et al. (2007) Semantic
Wikipedia. Web Semantics: Science, Services and Agents on the
World Wide Web, 5, 251–261. 10. Vrandecic,D. and Kr€otzsch, M. (2014) Wikidata. A free collab-
orative knowledgebase. Commun. ACM, 57, 78–85. Discussion Finally, Wikidata comes with a number of challenges rele-
vant to the scientific community. The data model needs to be
checked and protected against erroneous alterations, but true
vandalism seems to be very rare. An one time import of data
from a source is most likely not sustainable but the import of a
certain data source should be a long term commitment to syn-
chronization with the original source using bots. The commu-
nity process might appear intimidating at first, but critical
questions by the community help to improve one’s approach. Moreover, who contributes, automatically becomes part of the
community with the right to vote. Licensing of the original
data source could also pose challenging for an import to
Wikidata, because Wikidata content is licensed as public do-
main (CC0). Acknowledgements 11. NCBI Resource Coordinators (2015) Database resources of the
National Center for Biotechnology Information. Nucleic Acids
Res., 43, D6–17. We would like to thank the Wikipedia user RexxS for providing sub-
stantial help with the Gene Wiki infobox Lua code. Furthermore,
we would like to thank the Wikidata community for valuable discus-
sions and suggestions. 12. Cunningham,F., Amode,M.R., Barrell, D. et al. (2015) Ensembl
2015. Nucleic Acids Res., 43, D662–D669. 13. Eppig,J.T., Blake,J.A., Bult,C.J. et al. Mouse Genome Database
Group (2015) The Mouse Genome Database (MGD): facilitating
mouse as a model for human biology and disease. Nucleic Acids
Res., 43, D726–D736. Funding This work is supported by the National Institutes of Health under
grant GM089820, GM083924, GM114833 and DA036134. 14. Southan, C., Sharman,J.L., Benson,H.E. et al. NC-IUPHAR
(2015) The IUPHAR/BPS Guide to PHARMACOLOGY in Conflict of interest. None declared. Database, Vol. 2016, Article ID baw015 Page 10 of 10 2016: towards curated quantitative interactions between 1300
protein targets and 6000 ligands. Nucleic Acids Res. research and knowledge discovery. J. Biomed. Semantics, 5,
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Semanticscience Integrated Ontology (SIO) for biomedical
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English
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Variations in the Distributions of Marine Birds with Water Mass in the Northern Bering Sea
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UC Irvine
UC Irvine Previously Published Works
Title
Variations in the Distributions of Marine Birds with Water Mass in the
Northern Bering Sea
Permalink
https://escholarship.org/uc/item/2hj9t73j
Journal
The Condor, 95(1)
ISSN
0010-5422
Authors
Elphick, Chris S
Hunt,, George L
Publication Date
1993-02-01
DOI
10.2307/1369384
Copyright Information
This work is made available under the terms of a Creative Commons
Attribution License, availalbe at
https://creativecommons.org/licenses/by/4.0/
Peer reviewed UC Irvine
UC Irvine Previously Published Works
Title
Variations in the Distributions of Marine Birds with Water Mass in the
Northern Bering Sea
Permalink
https://escholarship.org/uc/item/2hj9t73j
Journal
The Condor, 95(1)
ISSN
0010-5422
Authors
Elphick, Chris S
Hunt,, George L
Publication Date
1993-02-01
DOI
10.2307/1369384
Copyright Information
This work is made available under the terms of a Creative Commons
Attribution License, availalbe at
https://creativecommons.org/licenses/by/4.0/
Peer reviewed Permalink
https://escholarship.org/uc/item/2hj9t73j Copyright Information
This work is made available under the terms of a Creative Commons
Attribution License, availalbe at
https://creativecommons.org/licenses/by/4.0/ Peer reviewed Peer reviewed UC Irvine UC Irvine Previously Published Works Title Title
Variations in the Distributions of Marine Birds with Water Mass in the
Northern Bering Sea INTRODUCTION lower end of the mesoscale range (50-150 km). Second, in the Chirikov Basin of the northern
Bering Sea, where three separate water masses
occur in close proximity, investigations of the
distribution of nesting colonies of marine birds
have shown that colonies located in Alaska
Coastal Water support primarily piscivorous
species, whereas colonies near Anadyr Water
are dominated by planktivorous auklets (Sowls
et aJ. 1978, Springer and Roseneau 1985). These
patterns indicate that differences exist in the use
of different water masses by different species
(Springer ct al. 1987). This supposition was
strengthened by limited transect data (Drury et
al. 198 1; summarized by Hunt et al. 1981) that
showed considerable differences in use of the
eastern and western portions of the Chirikov Ba-
sin by birds. Patterns in the distribution and abundance of
seabirds at sea vary as a function of the spatial
and temporal scales at which they occur (Hunt
and Schneider 198 7). According to these authors,
macroscale ( 1,000-3,000 km; after Haury et al. 1978) patterns of seabird distribution most likely
reflect variations in primary and secondary pro-
duction, whereas rnesoscale patterns (I 00-1,000
km) involve variations in avian species com-
position in response to variations in the com-
position of prey communities. At still smaller
scales (1-100 km). the abundances of individual
species often reflect opportunities to forage at
local concentrations of prey (Hunt and Schneider
1987). In this generalized scheme, variations in
the avian community are alternately character-
ized by changes in either biomass or species com-
position, and reflect a similar alternation in the
prey community. This paper investigates the foraging distribu-
tions of seabirds in the Chirikov Basin with re-
spect to water masses and their constituent prey
communities. We test whether a variety of spe-
cies show habitat specificity when several habi-
tats occur over a small area (on the order of the
birds' daily flight ranges). The study, however,
was conducted at a spatial scale generally asso-
ciated with responses to changes in local prey
concentrations (Schneider 1982, Schneider and
Piatt 1986, Schneider et al. 1987), rather than to
different prey communities. In addition to our
findings for the Chirikov Basin, we discuss the
effect of the boundary gradient between habitat
patches on a bird's ability to respond to habitat
changes and the need to examine the combined
effects of boundary conditions and scale on hab-
itat selection by birds. Powered by the California Digital Library
University of California eScholarship.org eScholarship.org The Condor 95:33-44
C The Cooper Omitholocjcal Society 1993 CHRIS s. ELPlilCK2 AND GEORGE L. HUNT, JR.3 CHRIS s. ELPlilCK2 AND GEORGE L. HUNT, JR.3 CHRIS s. ELPlilCK2 AND GEORGE L. HUNT, JR.3
Department of Ecology and El•o/utionary Biology, University of California, Irvine, CA 92 Department of Ecology and El•o/utionary Biology, University of California, Irvine, CA 927 17 . Abstr~ct . We examined the pelagic distributions of 12 species of northern Bering Sea
birds wtth respect to the water masses in which they were observed during the summers of
1984, 198:5 and .1986. Despite the prediction of earlier work that differences in community
structure are unhkely to occur at small spatial scales, we found significant habitat preferences
for all but one of the species studied. We suggest that the strength of the gradient between
habitat types is the cause of this discrepancy, and that boundary conditions should also be
considered when discussing the influence of spatial scales on community processes. Ker .words: Seabird distributions; Bering Sea; habitat preferences; spatial scale; boundary
co11d11 ions. ' Received 13 March 1992. Accepted 9 September
1992.
dd
i
l
l
i 2 Present address: Program in Ecology, Evolution,
and .Conservation Biology, 1000 Valley Road, Uni-
versity of Nevada, Reno, NV 89512.
1 Corresponding author. ' Received 13 March 1992. Accepted 9 September
1992.
2 Present address: Program in Ecology, Evolution,
and .Conservation Biology, 1000 Valley Road, Uni-
versity of Nevada, Reno, NV 89512.
1 Corresponding author. STUDY AREA The Chirikov Basin lies between Siberia and
Alaska and is bounded by St. Lawrence Island
to the south and Bering Strait to the north (Fig. 1). The oceanography of the area is influenced
by three water masses: to the east flows Alaska
Coastal Water, to the west Anadyr Water, and
between lies Bering Shelf Water (Coachman et
al. 1975). These three water masses are distinct
both in their physical and biological properties
and can be readily distinguished by their salinity
characteristics (Coachman et al. 1975). In the analysis, we divided transects, which
varied in length and ofien traversed water mass
boundaries, into 15-min (2.3-5.6 km long, de-
pending on ship speed) intervals. For each in-
terval, we calculated the position of the central
point, the area over which birds were recorded,
and the number of birds of each species seen
during that period. To reduce data loss, intervals
ofl2.5-17.5 min from theendsoftransectswere
included as samples. In the analysis, we ignored
rarely encountered species and combined counts
for all "dark-bellied shearwaters" [primarily
Short-tailed (Puffinus tenuirostris), but including
some Sooty Shearwaters (P. griseus)] and murres
(Uria spp.) because there were high proportions
of unidentified individuals for these taxa. For the
1985 data, however, separate tests were Possible
for each murre species because a high propQrtion
(42.8%) of those seen were identified to species. The shearwater data from 1984 and 1985 were
not analyzed because few were seen in either year. For Red Phalaropes (Phalaropus fulicaria) and
the alcids we excluded from the analysis indi-
viduals that were first observed in flight. Because
these species feed only from the water surface,
this allowed us to exclude birds that were just
flying to or from a feeding site. In all instances,
numbers of birds were converted into densities
(birds/km2) to allow comparisons between tran-
sect intervals covered at different speeds. Alaska Coastal Water originates from the In-
ner Domain of the southeastern Bering Sea shelf
and moves northward along the coast, where it
is diluted by extensive freshwater input in Nor-
ton Sound, primarily from the Yukon River
(Coachman et al. I 97 5, Kinder and Schumacher
1981 ). This is the warmest of the three water
masses. To the west is the colder, more saline
Anadyr Water that enters from the Gulf of Ana-
dyr, where the endemic cold water mixes with
water flowing in from the southern Bering Sea
(Coachman et al. STUDY AREA 1975). The third water mass,
Bering Shelf Water, is characterized by temper-
atures and salinities intermediate between those
of Alaska Coastal Water and Anadyr Water, and
by extensive stratification in summer (Coach-
man et al. 1975, Hunt and Harrison 1990). This
water mass enters the Chirikov Basin around
both ends of St. Lawrence Island and is formed
by the mixing of cold water from the northern
Bering Sea shelf and oceanic water from the Be-
ring Sea (Coachman et al. 197 5). Distribution maps were created by dividing
the region into blocks with dimension of 0.1 de-
grees of latitude and 0.2 degrees of longitude. This choice of block size was a compromise be-
tween obtaining a fine-grain resolution in the
geographical distribution of birds and the sample
size available for most blocks; with this block
size, 48%, 46%, and 33% of the blocks had at
least four counts in 1984, 1985, and 1986, re-
spectively. For each block, we calculated the mean
density of each species for all 15-min samples
whose midpoint fell within that block. CHRIS S. ELPHICK AND GEORGE L. HUNT, JR. 34 METHODS each flock sighting was recorded to the nearest
0.1 min, and details of the ship's Position and
speed were noted at regular intervals to facilitate
the calculation of bird densities. (For details of
the methodology see Hunt and Harrison 1990,
Hunt et al. I 990a.) INTRODUCTION Despite the prediction, based on the above
scheme, that differences in the species compo-
sition of seabird communities are unlikely to ex-
ist over relatively small spatial scales, at least
two lines of evidence have indicated that such
patterns exist. First, Haney ( 1986) has shown
significant differences in the densities of several
bird species over four water masses associated
with Gulf Stream eddies while working at the [33] [33] CHRIS S. ELPHICK AND GEORGE L. HUNT, JR. CHRIS S. ELPHICK AND GEORGE L. HUNT, JR. DATA COLLECTION AND ANALYSIS Distributions of seabird species were determined
using data collected over the periods 1-7 July
1984, 26 July- 13 August 1985, and 11-21 Au-
gust 1986, when numerous ship transects were
made near St. Lawrence and King Islands (Fig. 2). For 1984, our data comes only from transects
near King Island; during 1985 and 1986, the sur-
veys covered much of the southern Chirikov Ba-
sin. Data collection along these transects entailed
identifying, counting, and recording the behavior
of all birds seen within a 300 m arc from directly
in front, to 90" to the side, of the ship. This
method is suitable for obtaining estimates of birds
on the water, but tends to overestimate densities
of flying birds (Tasker et al. 1984). The time of The positions of the boundaries between water
masses were determined using salinity (Coach-
man et aJ. 1975). ln 1985 and 1986, Bering Shelf
Water was defined as 31.8-32.5 ppt (Coachman
1986, Walsh et al. 1989), with Anadyr Water MARINE BIRDS AND WATER MASSES 35 175°
I
I
I
I
I
I
I
I
I
I
I
I
) ,
I
,.~
/
I ,
170°
'
~
30 m
I
18.5Km
1---1
10 nautical miles
65°
64°
63°
FIGURE I. Study area, showing generalized movements and origins of the major water masses flowing north
through Bering Strait. Inner box shows area covered by distribution maps. FIGURE I. Study area, showing generalized movements and origins of the major water masses flowing north
through Bering Strait. Inner box shows area covered by distribution maps. cinity of King Island was determined by Hunt
and Harrison ( 1990). more saline, and Alaska Coastal Water less so. Although variations occur in the salinities of these
water masses, they are typically small on a year
to year time-scale (Coachman et al. 197 5, Coach-
man and Shigaev, in prep.); hence, the same def-
initions were applied to the 1984 data. For 1985
and 1986, the locations of boundaries between
water masses follow Coachman (l 986:fig. 5; re-
produced in part by Walsh et al. 1989), who
produced maps based on extensive water sam-
pling for the periods directly before and after the
bird surveys. In addition, physical oceanograph-
ic data collected during bird surveys were used
to determine more precisely the positions of wa-
ter mass boundaries (see salinity profiles in Hunt
and Harrison 1990 and Hunt et al. l 990a). RESULTS Significant relationships between bird distribu-
tions and water masses were detected, in at least
one year, for each of the species considered ex-
cept for the separate analysis for Thick-billed
Murres (Uria lomvia) in 1985 (Table I). These
relationships varied in their extent and nature
between species and in a few cases between years
for the same species. Further, the types of rela-
tionships differed between species that are pre-
dominantly planktivorous and those that are pi-
scivorous. 66.0 .-------....,,,,,,.-------7.:'"'---i
65.5
64.0
0 0
000
CXD
0
e
o
<D
0
~ 0000
BSW
~ (n•l66)
635
173
172
171
170
169
166
167
166
0 LONGITUDE DATA COLLECTION AND ANALYSIS Water mass coverage for each of the three
years of the study: a) 1984, b) 1985, c) 1986. AW =
Anadyr Water; BSW = Bering Shelf Water; ACW =
Alaska Coastal Water. 36 a significant relationship, we used Dunn's mul-
tiple comparison test for nonparametric data of
unequal sample sizes (Zar 1984). This test de-
termines which differences in water mass use
contribute to the significant result. In each case,
a null hypothesis of no difference in use of the
water masses was assumed. 64.0
Samples/Block
0 1-3
a> 4-6
e 7-9
• 10+
63·5173
172
171
170
169
166
167
166 Because these tests assume that samples are
independent, we tested for autocorrelation with-
in the data set. These tests were conducted for
each species on each transect and yielded 35
(8.3%) out of 422 tests in which the lag-I coef-
ficient lay outside the critical region and the null
hypothesis of independence could not be ac-
cepted. Even with independent samples, how-
ever, one would expect I out of every 20 tests
(5.0%) to produce a value that lies outside this
region (Chatfield 1980). Consequently, we chose
not to reject data from nine cases that had coef-
ficients that were only just outside the critical
region. The data from the remaining 26 cases
with significant coefficients of autocorrelation
were not used in the analysis. Tests were carried
out using SYST AT (Wilkinson 1990) and em-
ployed a significance level of 5%. DATA COLLECTION AND ANALYSIS Less-
detailed information is available for 1984, al-
though the position of the front between Alaska
Coastal Water and Bering Shelf Water in the vi- more saline, and Alaska Coastal Water less so. Although variations occur in the salinities of these
water masses, they are typically small on a year
to year time-scale (Coachman et al. 197 5, Coach-
man and Shigaev, in prep.); hence, the same def-
initions were applied to the 1984 data. For 1985
and 1986, the locations of boundaries between
water masses follow Coachman (l 986:fig. 5; re-
produced in part by Walsh et al. 1989), who
produced maps based on extensive water sam-
pling for the periods directly before and after the
bird surveys. In addition, physical oceanograph-
ic data collected during bird surveys were used
to determine more precisely the positions of wa-
ter mass boundaries (see salinity profiles in Hunt
and Harrison 1990 and Hunt et al. l 990a). Less-
detailed information is available for 1984, al-
though the position of the front between Alaska
Coastal Water and Bering Shelf Water in the vi- We then determined the water mass in which
each 15-min interval was obtained. In cases where
an interval intersected a boundary between water
masses, the water mass over which its central
point lay was taken to be that of the sample. This
method of assigning samples to water masses is
problematic in that it uses "average" positions
for boundaries that fluctuate over time spans as
short as a few days (Coachman 1986, Hunt and
Harrison 1990). Misclassifications, however, are
most likely to reduce, or have no affect on, the
apparent significance of differences in bird den-
sities in each water mass. Consequently, the
P-values obtained are probably conservative. During 1984 and 1986, data were collected in
only two of the three water masses (Fig. 2); hence,
for these years, we used Mann-Whitney U-tests CHRIS S. ELPHICK AND GEORGE L. HUNT, JR. 36
CHRIS S. ELPHICK AND GEORGE L. HUNT
lLJ
a
::>
I-
~
_J
0
64.0
Samples/Block
0 1-3
a> 4-6
e 7-9
• 10+
63·5173
172
171
170
169
166
167
166
64.0
635
173
172
171
170
169
166
167
166
66.0 .-------....,,,,,,.-------7.:'"'---i
65.5
64.0
0 0
000
CXD
0
e
o
<D
0
~ 0000
BSW
~ (n•l66)
635
173
172
171
170
169
166
167
166
0 LONGITUDE
FIGURE 2. PLANKTIVOROUS BIRDS The planktivorous species [shearwaters, Red
Phalarope, Least (Aethia pusilla) and Crested (A. cristatella) auklets], and the omnivorous North-
ern Fulmar (Fulmarus g/acialis), occurred in
higher densities in Bering Shelf and Anadyr Wa-
ter than in Alaska Coastal Water (Fig. 3, Tables
1, 2). Within this group, further differences ex-
isted between species with different feeding strat-
egies. The procellarids showed consistent pref-
erences for the most westerly water mass sampled
(i.e., that with the strongest Anadyr Water influ-
ence; Figs. 4a, b). Red Phalaropes showed a strong
preference for Anadyr Water in 1985, but they FIGURE 2. Water mass coverage for each of the three
years of the study: a) 1984, b) 1985, c) 1986. AW =
Anadyr Water; BSW = Bering Shelf Water; ACW =
Alaska Coastal Water. FIGURE 2. Water mass coverage for each of the three
years of the study: a) 1984, b) 1985, c) 1986. AW =
Anadyr Water; BSW = Bering Shelf Water; ACW =
Alaska Coastal Water. (Zar 1984) to determine whether a bird species
occurred in each of the water masses equally. In
1985, all three water bodies were sampled, so we
used Kruskal-Wallis tests to determine differ-
ences in habitat use. For those species that showed MARINE BIRDS AND WATER MASSES 37 TABLE 1. Results of statistical comparisons of use of water masses by species commonly found in the Chirikov
Basin. The Mann-Whitney U-statistic is given for 1984 and 1986, and the Kruskal-Wallis H-statistic is given
for 1985. Values in parentheses are sample sizes for AW, BSW, and ACW, respectively. Sample sizes vary
among species, within years, due to the need to exclude transects with excessive levels of autocorrelation between
samples. 1984
Species
u
p
Northern Fulmar
193.5
<0.001
(-, 21 , 41)
'Dark-bellied' Shearwater
Black-legged Kittiwake
941.5
0.325
(-, 38, 44)
Red Phalarope
616.0
<0.001
(-, 38, 44)
Parakeet Auklet
575.0
0.014
(-, 38, 44)
Least AukJet
166.0
<0.001
(-, 38, 44)
Crested AukJet
627.5
0.004
(-, 38, 44)
All murres
1,327.5
<0.001
(-, 38, 44)
Common Murre
Thick-billed Murre
Horned Puffin
1,135.5
<0.001
(-, 38, 44)
Tufted Puffin
1,312.0
<0.001
(-. PLANKTIVOROUS BIRDS Consequently, we carried out a mul-
tiple comparison test for this species which
showed significantly higher densities in Alaska
Coastal Water, than in Bering Shelf Water, al-
though not when compared with Anadyr Water
(Table 2). This weak relationship is of interest
given the absence of any differences between did not in 1986 (Fig. 3, Tables 1, 2). In all years,
however, phalaropes were most numerous in ar-
eas where Gray Whales (Eschrichtius robustus)
were seen (Fig. 4c; also see Obst and Hunt 1990). The two Aethia auklets occurred in highest den-
sities in Bering Shelf Water in 1984 and 1985
(Fig. 3). In 1986, Least Auklets apparently fa-
vored Anadyr Water (Fig. 3, Table 1). Inspection
of Fig. 4d, however, also shows high densities in
stratified Bering Shelf Water north of St. Law-
rence Island and near the front to the west of
King Island. No preference for any water mass
was detected for Crested Auklets in 1986. Par-
akeet Auklets occurred in highest densities in
Bering Shelf Water in 1984, avoided that water
in 1985, and exhibited no preference in I 986. did not in 1986 (Fig. 3, Tables 1, 2). In all years,
however, phalaropes were most numerous in ar-
eas where Gray Whales (Eschrichtius robustus)
were seen (Fig. 4c; also see Obst and Hunt 1990). The two Aethia auklets occurred in highest den-
sities in Bering Shelf Water in 1984 and 1985
(Fig. 3). In 1986, Least Auklets apparently fa-
vored Anadyr Water (Fig. 3, Table 1). Inspection
of Fig. 4d, however, also shows high densities in
stratified Bering Shelf Water north of St. Law-
rence Island and near the front to the west of
King Island. No preference for any water mass
was detected for Crested Auklets in 1986. Par-
akeet Auklets occurred in highest densities in
Bering Shelf Water in 1984, avoided that water
in 1985, and exhibited no preference in I 986. PLANKTIVOROUS BIRDS 38, 44)
Year
1985
1986
H
p
u
p
111.1
<0.00 I
3,911.5
0.009
(119, 124, 71)
(67, 149, -)
4,499.0
0.009
(69, 166, -)
26.3
<0.001
5,255.5
0.196
(104, 144, 40)
(64, 148, -)
12.6
0.002
5,456.5
0.086
(106, 139, 65)
(69, 166, -)
7.5
0.024
5,135.5
0.145
( 117, 148, 46)
(69, 166, -)
86.6
<0.001
1,804.5
<0.001
( 114, 118, 34)
(53, 116, -)
59.5
<0.001
5,041.5
0.900
(127, 143, 71)
(67, 149, -)
3.9
0.142
5,461.0
0.263
(118, 123, 59)
(67, 149, -)
5.8
0.056
(118, 147, 59)
2.1
0.355
(116, 104, 59)
27.l
<0.001
5,417.5
0.187
(127, 153, 71)
(69, 166, -)
7.9
0.020
5,955.0
0.386
(127, 153, 71)
(69, 166, -) Kittiwakes (Rissa tridactyla), murres, and puffins
(Fratercula spp.)] either occurred at highest den-
sities in Alaska Coastal Water or exhibited no
preference for any water mass (Fig. 5, Tables I,
2). In 1986, when coastal water was not sampled,
none of these species showed a significant pref-
erence for either of the other water masses (Table
1). The comparison of the two murres' distri-
butions during 1985 revealed differences in their
pattern of habitat use. Although Kruskal-Wallis
tests failed to show a significant preference for
either species (Table I), the result for Common
Murres (U. aalge) was very close to the 0.05 level
(P = 0.056). Consequently, we carried out a mul-
tiple comparison test for this species which
showed significantly higher densities in Alaska
Coastal Water, than in Bering Shelf Water, al-
though not when compared with Anadyr Water
(Table 2). This weak relationship is of interest
given the absence of any differences between Kittiwakes (Rissa tridactyla), murres, and puffins
(Fratercula spp.)] either occurred at highest den-
sities in Alaska Coastal Water or exhibited no
preference for any water mass (Fig. 5, Tables I,
2). In 1986, when coastal water was not sampled,
none of these species showed a significant pref-
erence for either of the other water masses (Table
1). The comparison of the two murres' distri-
butions during 1985 revealed differences in their
pattern of habitat use. Although Kruskal-Wallis
tests failed to show a significant preference for
either species (Table I), the result for Common
Murres (U. aalge) was very close to the 0.05 level
(P = 0.056). PISCIVOROUS BIRDS 64.0
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173
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166 0 LONGITUDE FIGURE 4. Pelagic distributions of some planktivorous species across the Chirikov Basin: a) Northern
Fulmar, 1985; b) "dark-bellied shearwaters," 1986; c) Red Phalarope, 1985; d) Least Auklet, 1986. The polygon
of small dots on a) and c) shows the region in which Gray Whales were commonly seen. FIGURE 4. Pelagic distributions of some planktivorous species across the Chirikov Basin: a) Northern
Fulmar, 1985; b) "dark-bellied shearwaters," 1986; c) Red Phalarope, 1985; d) Least Auklet, 1986. The polygon
of small dots on a) and c) shows the region in which Gray Whales were commonly seen. ing a primary influence on where puffins forage,
then one would expect them to be equally dis-
tributed around their colonies. Inspection of the
data, however, shows that their distribution ex-
tends much farther to the east of King Island
than to the west, where their occurrence ends
near the boundary between Alaska Coastal Wa-
ter and Bering Shelf Water (Fig. 6). two broad categories, with planktivorous bird
species using Anadyr Water and Bering Shelf
Water most frequently and piscivorous species
primarily using Alaska Coastal Water. For some
bird species, the boundaries between water mass-
es appeared to set the limits of foraging distri-
butions (e.g., puffins; Fig. 6), whereas for others
the frontal areas were a focus of foraging activity
[e.g., Least Auklets (Hunt and Harrison 1990)
and shearwaters (Fig. 4b)]. PISCIVOROUS BIRDS In contrast to the planktivores, those seabird spe-
cies that forage primarily on fish [Black-legged CHRIS S. ELPHICK AND GEORGE L. HUNT, JR. 38 ~
i
10
g 10
i
';,,
l6
u. ! ! 5
5
~
0
0
198.4
1985
1986
1984
1985
1986
5
150
! 50
198-4
1985
1986
1984
1985
1986
1984
1985
1986
1984
1985
1988
AG URE 3. Mean densities of planktivorous species in each water mass, for 1984-1986. Open bars = Al
Coastal Water; solid bars= Bering Shelf Water; cross-hatched bars= Anadyr Water. Error bars give stan
errors. Sample sizes are as given in Table I. AG URE 3. Mean densities of planktivorous species in each water mass, for 1984-1986. Open bars = Alaska
Coastal Water; solid bars= Bering Shelf Water; cross-hatched bars= Anadyr Water. Error bars give standard
errors. Sample sizes are as given in Table I. water masses in the densities of Thick-billed
Murres. in the densities of puffins in each water mass was
particularly striking in 1984 (Fig. 6). These two
species often forage close to their colonies (Sealy
1973, Hunt et al. 1981) which creates the poten-
tial for a confounding effect of colony position
within our analysis. If colony situation were hav- Homed (Fratercula corniculata) and Tufted (F
cirrhata) puffins both showed preferences for
Alaska Coastal Water in the two years when it
was sampled (Fig. 5, Tables l, 2). The contrast MARINE BIRDS AND WATER MASSES 39 64.0
___. 64.0
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63.5 173
172
171
170
169
168
167
166
172
171
170
169
168
167
166
I-
66.0
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64.5
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64.0
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•>500
170
169
168
167
166
173
172
171
170
169
168
167
166
0 LONGITUDE
FIGURE 4. Pelagic distributions of some planktivorous species across the Chirikov Basin: a) Northern
Fulmar, 1985; b) "dark-bellied shearwaters," 1986; c) Red Phalarope, 1985; d) Least Auklet, 1986. The polygon
of small dots on a) and c) shows the region in which Gray Whales were commonly seen. DISCUSSION Our results support the hypothesis that the pe-
lagic distributions of seabirds across the Chiri-
kov Basin reflect preferences for one or more of
the three water masses, as predicted by Drury et
al. ( 1981) and Springer et al. (1987). The vari-
ation in these preferences, however, indicates that
factors other than water mass also have some
influence. Preferences for water masses fell into The concentrations of shearwaters in Anadyr
Water, and in particular near the front between
Anadyr and Bering Shelf Waters (Fig. 4b), may
reflect a dependence on frontal systems for the
availability of prey. These shearwaters also con-
centrate near the Inner Front in the southeastern
Bering Sea (Schneider 1982) and near a front to
the north of St. Paul Island that is physically CHRIS S. ELPHICK AND GEORGE L. HUNT, JR. 40 TABLE 2. Results of Dunn's multiple comparison tests between each pair of water masses for 1985. For each
comparison, the water mass with the highest density of birds, and Q, are given. Significance levels: * = P <
0.05, •• = p < 0.01, ••• = p < 0.001. TABLE 2. Results of Dunn s multiple comparison tests between each pair of water masses for 1985. For each
comparison, the water mass with the highest density of birds, and Q, are given. Significance levels: * = P <
0.05, •• = p < 0.01, ••• = p < 0.001. Species
Northern Fulmar
Black-legged Kittiwake
Red Phalarope
Parakeet Auklet
Least Auklet
Crested Auklet
Common Murre
Homed Puffin
Tufted Puffin
1984
1984
1985
1985
AW/BSW
AW
8.65***
AW
2.12
AW
3.06**
AW
1.85
BSW
7.57***
BSW
4.11***
AW
0.79
BSW
0.62
BSW
2.80**
1986
1986
Water mass preferred in the comparison of
BSW/ ACW
BSW
1.77
ACW
5.10***
ACW
0.53
ACW
2.51*
BSW
6.63***
BSW
7.62***
ACW
2.41*
ACW
4.55***
ACW
0.97
1984
1984
1985
1985
AW/ACW
AW
9.19
ACW
3.43**
AW
3.01**
ACW
1.14
AW
3.42**
AW
4.09***
ACW
I. 71
ACW
4.91***
ACW
1.34
1986
1986
FIGURE 5. Mean densities of piscivorous species in each water mass, for 1984-1986. Symbols as described
for Figure 3. comparison, the water mass with the highest density of birds, and Q, are given. Significance levels: = P <
0.05, •• = p < 0.01, ••• = p < 0.001. DISCUSSION Species
Northern Fulmar
Black-legged Kittiwake
Red Phalarope
Parakeet Auklet
Least Auklet
Crested Auklet
Common Murre
Homed Puffin
Tufted Puffin
1984
1984
1985
1985
AW/BSW
AW
8.65***
AW
2.12
AW
3.06**
AW
1.85
BSW
7.57***
BSW
4.11***
AW
0.79
BSW
0.62
BSW
2.80**
1986
1986
Water mass preferred in the comparison of
BSW/ ACW
BSW
1.77
ACW
5.10***
ACW
0.53
ACW
2.51*
BSW
6.63***
BSW
7.62***
ACW
2.41*
ACW
4.55***
ACW
0.97
1984
1984
1985
1985
AW/ACW
AW
9.19
ACW
3.43**
AW
3.01**
ACW
1.14
AW
3.42**
AW
4.09***
ACW
I. 71
ACW
4.91***
ACW
1.34
1986
1986
FIGURE 5. Mean densities of piscivorous species in each water mass, for 1984-1986. Symbols as described
for Figure 3. Species
Northern Fulmar
Black-legged Kittiwake
Red Phalarope
Parakeet Auklet
Least Auklet
Crested Auklet
Common Murre
Homed Puffin
Tufted Puffin
AW/BSW
AW
8.65***
AW
2.12
AW
3.06**
AW
1.85
BSW
7.57***
BSW
4.11***
AW
0.79
BSW
0.62
BSW
2.80**
Water mass preferred in the comparison of
BSW/ ACW
BSW
1.77
ACW
5.10***
ACW
0.53
ACW
2.51*
BSW
6.63***
BSW
7.62***
ACW
2.41*
ACW
4.55***
ACW
0.97
AW/ACW
AW
9.19
ACW
3.43**
AW
3.01**
ACW
1.14
AW
3.42**
AW
4.09***
ACW
I. 71
ACW
4.91***
ACW
1.34 1984
1984
1985
1985
1986
1986
1984
1984
1985
1985
1986
1986
FIGURE 5. Mean densities of piscivorous species in each water mass, for 1984-1986. Symbols as describ
for Figure 3. FIGURE 5. Mean densities of piscivorous species in each water mass, for 1984-1986. Symbols as described
for Figure 3. MARINE BIRDS AND WATER MASSES
41 41 65.5
65.0
~
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1 ACW
64.5
64.0
_,,,
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1~0• · 2
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Z.Ot • 5
>5
=>
63.5
t-
173
172
171
170
169
168
167
166
t-
<t
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'·
0
65.5
65.0
64.5
64.0
_,,,. igo, .2
2.01 . 5
•5
63.5173
172
171
170
169
168
167
166
0 LONGITUDE
FIGURE 6. Pelagic distributions of a) Homed and
b) Tufted puffins around King Island in 1984. equivalent to the Inner Front(Coyleand Cooney,
in press). At this latter front, shearwaters forage
on Thysanoessa raschii (Hunt et al., unpubl.). We
do not know the diets of these shearwaters in the
Chirikov Basin, but if they are taking euphau-
siids, the strong vertical fluxes associated with
the edge of the Anadyr Current (Haney 1991)
could aid in concentrating and transporting this
prey upward in the water column. DISCUSSION During this study, Least Auklets were wide-
spread in both Anadyr and Bering Shelf Waters. Other analyses have shown that within these wa-
ter masses they tended to concentrate in frontal
regions (Hunt and Harrison 1990, Harrison et
al. 1990) and over stratified water (Hunt et al. l 990a, Hunt and Harrison 1990). These conclu-
sions, based on the analysis of individual tran-
sects, are borne out by our Figure 4d which shows
highest densities close to the front between Ana-
dyr and Bering Shelf Waters and offshore to the
north of St. Lawrence lsland, where water tends
to be well stratified (Hunt et al. l 990a; Coach-
man and Shigaev, in prep.). Inspection of the
data from the earlier analyses showed that Least
Auklets used stratified water only when Bering
Shelf Water was present in the upper mixed layer
(e.g., Hunt and Harrison l 990:fig. 8). When Alas-
ka Coastal Water overlay Bering Shelf Water,
Least Auklets were largely absent. This obser-
vation may explain the results of Haney ( 1991 ),
who found that Least Auklets avoided strongly
stratified water near shore at the western end of
St. Lawrence lsland. He did not identify the or-
igin of this water or the composition of its plank-
ton community, but ifthe upper mixed layer was
derived from terrestrial runoff, the copepods that
are the principal prey of Least Auklets may have
been absent. w
0
=>
t-
t-
<t
_J
0 0 LONGITUDE FIGURE 6. Pelagic distributions of a) Homed and
b) Tufted puffins around King Island in 1984. curred in highest densities in the region where
Gray Whales were most commonly seen (Figs. 4a, c). The other two species (Black-legged K.it-
tiwake and Thick-billed Murre) did not exhibit
similar water mass preferences, and in 1985 the
former preferred Alaska Coastal Water, a pref-
erence similar to other piscivores. These differ-
ences suggest that whales act to concentrate avian
predators once they have already chosen their
foraging habitat, rather than being the primary
attraction. As the area in which Gray Whales
were most frequently seen during this study ex-
tends across all three water masses (Fig. 7), one
might therefore expect different assemblages of
birds associating with whales in each water mass. DISCUSSION To test the validity of
Haney's argument for the piscivorous alcids, we
will have to learn the distribution by depth and
water mass of the prey species identified by
Springer et al. ( 1987). Recently, both marine (e.g., Steele 1978, 1989;
Schneider and Duffy 1985) and terrestrial (e.g.,
Wiens 1976) ecologists have focused on the im-
portance of the scale of habitat heterogeneity for
ecological processes. An underlying concept is
that there may be characteristic spatial (and tem-
poral) scales at which certain processes occur (e.g.,
Haury et al. 1978, Steele 1978, Hunt and Schnei-
der 1987). Throughout these discussions the spa-
tial scales associated with different processes are
explicitly addressed. The biological importance
of the boundary conditions that define habitat
regions, however, have seldom been described. Kotliar and Wiens (1990) have recently pro-
posed that the nature of patch boundaries may
change with patch size; large-scale patches may
have more ambiguous bounds than small patch-
es. They also emphasized a continuum in the
degree of contrast between a patch and the matrix
in which it exists. We suggest that the degree of
contrast is not necessarily a function of the scale
of the patch but may be independent of patch
size. We hypothesize that a predator's ability to
recognize a habitat patch will depend on both
the size of the patch, and the sharpness of its
contrast with the surrounding matrix .. For ex-
ample, the differences in seabird species distri-
butions described for the Chirikov Basin were
detectable over the small scales at which one
might have expected to find differences in the
biomass of avian predators, but not in species
composition (Hunt and Schneider 1987). We
suggest that this segregation of habitat use de-
pended on the strong fronts (steep property gra-
dients) bounding the three water masses that cre-
ated sharp gradients in the distribution and
abundance of prey to which the predators re-
sponded (Hunt and Harrison 1990). Had these
gradients been weaker, one would expect that the
dramatic differences in use of water masses over
short distances west of King Island would have
been much reduced or absent. Other evidence
from marine birds suggests that at scales below
the mesoscale, birds largely ignore weakly de-
fined habitats (e.g., Hunt et al. l 990b), whereas
when definition is strong, habitat patches are used FIGURE 7. DISCUSSION The preference oflargely planktivorous species
for Bering Shelf Water and An ad yr Water is un-
derstandable because of the presence of larger
prey species (e.g., Neoca/anus p/umchrus, N. cris- curred in highest densities in the region where
Gray Whales were most commonly seen (Figs. 4a, c). The other two species (Black-legged K.it-
tiwake and Thick-billed Murre) did not exhibit
similar water mass preferences, and in 1985 the
former preferred Alaska Coastal Water, a pref-
erence similar to other piscivores. These differ-
ences suggest that whales act to concentrate avian
predators once they have already chosen their
foraging habitat, rather than being the primary
attraction. As the area in which Gray Whales
were most frequently seen during this study ex-
tends across all three water masses (Fig. 7), one
might therefore expect different assemblages of
birds associating with whales in each water mass. Our results for Crested Auklets indicate that,
like Least Auklets, they prefer Bering Shelf Wa-
ter, suggesting that they may also favor stratified
water. In contrast, Parakeet Auklets exhibit no
consistent preference for any water mass. This
suggests that factors determining Parakeet Auk-
let distributions are independent of water mass
and, hence, differ from those influencing the dis-
tribution of the other auklets (Harrison 1987). Obst and Hunt (1990) showed that four of the
species discussed here tend to associate with Gray
Whales in the Chirikov Basin. Our analysis shows
that two of these (Northern Fulmar and Red
Phalarope) also showed a preference for Anadyr
Water and that within this water mass they oc- The preference oflargely planktivorous species
for Bering Shelf Water and An ad yr Water is un-
derstandable because of the presence of larger
prey species (e.g., Neoca/anus p/umchrus, N. cris-
tatus and Eucalanus bungii) there (Springer et al. CHRIS S. ELPHICK AND GEORGE L. HUNT, JR. 42 65.5
65.0
64.5
64.0
635 '----""-'--'-""""'""'-'-"""---------~
173
172
17 1
170 169
168
167
166 65.5
65.0
64.5
64.0
635 '----""-'--'-""""'""'-'-"""---------~
173
172
17 1
170 169
168
167
166
FIGURE 7. Distrilbution of Gray Whales in the Chi-
rikov Basin in 1985. Filled circles represent sightings
of at least one individual; open circles represent blocks
through which transects were made. calJy. This argument, however, would not ex-
plain the preference of surface-feeding kittiwakes
for Alaska Coastal Water. DISCUSSION Distrilbution of Gray Whales in the Chi-
rikov Basin in 1985. Filled circles represent sightings
of at least one individual; open circles represent blocks
through which transects were made. 1989, Hunt and Harrison 1990, Hunt et al. l 990a). These prey are not numerous in Alaska
Coastal Water, and are presumed to be suffi-
ciently more profitable as food items than the
more numerous small zooplankton. In contrast,
we do not know why piscivores apparently avoid
Bering Shelf Water and Anadyr Water, but little
is known about the abundance of fish species in
the different water masses. Some of the region's
most important species of forage fish [e.g., sand-
lance (Ammodytes hexapterns), capelin (Mallo-
tus vil/osus); Drury et al. 1981, Springer et al. 1987] spawn in shallow water or the intertidal
zone (Hart 1973) and are therefore at least pe-
riodically abundant in coastal waters. Much of
the Alaska Coastal Water is more than 90 km
from shore, however, and there are no data of
which we are aware on the abundance of forage
fish in offshore areas. Based on the distributions
of the piscivorous seabird species, we can only
hypothesize that fishes must be more available
in Alaska Coastal Water than in the other water
masses of the Chirikov Basin. An alternative explanation for the preference
of the piscivores for Alaska Coastal Water is that
they prefer to forage in shallow water. Haney
( 1991) found that large alcids near the western
end of St. Lawrence Island occurred in higher
numbers in shallower water. He hypothesized
that these birds may take a large proportion of
epibenthic fish in their diets and that foraging in
shallow water would be more efficient energeti- MARINE BIRDS AND WATER MASSES 43 differentially (e.g., Haney 1986, Hunt and Har-
rison 1990, Veit and Hunt 199 1). In contrast, at
mesoscaJes and above, even weakly-defined hab-
itats differ in use (e.g., Schneider et al. 1986,
Hunt and Schneider 1987, Hunt et al. 1990b). Thus, the scheme described by Hunt and Schnei-
der ( 1987} may need modification. It may not
be possible to characterize the types of relation-
ships between seabirds and their prey solely by
spatial scale, but rather by a combination of both
the scale and the strength of the boundaries that
define a habitat type. HAURY, LR., J. A. McGOWAN, AND P. H. WIEBE. 1978. LITERATURE CITED CHATFIELD, C. 1980. The analysis of time series: an
introduction. Chapman and Hall, London. COACHMAN, L. K. 1986. Hydrography of the ISH-
TAR study area, 1985 and 1986. ISHTAR prog-
ress report. Univ. of Washington, Seattle. KoTUAR, N. B., AND J. A. WrENs. 1990. Multiple
scales of patchiness and patch structure: a hier-
archical framework for the study of heterogeneity. Oikos 59:253-260. CoACHMAN, L. K., K. AAGARO, AND R. B. TRIPP. 1975. Bering Strait: the regional physical oceanography. Univ. Washington Press, Seattle. OBST, B. S., AND G. L. HUNT, JR. 1990. Marine birds
feed at gray whale mud plumes in the Bering Sea. Auk 107:678-688. CoYLE, K. 0., AND R. T. CooNEY. In press. Water
column sound scattering and hydrography around
the Pribilof Islands, Bering Sea. Cont. Shelf Res. c 5cHNE1DER, D. C. 1982. Fronts and seabird aggre-
gations in the southeastern Bering Sea. Mar. Ecol. Prog. Ser. 10:101-103. DRURY, W. H., c. RAMSDELL, AND J.B. FRENCH, JR. 1981. Ecological studies in the Bering Strait Re-
gion, p. 175-488. In Environmental assessment
of the Alaskan Continental Shelf. U.S. Dept. Comm. NOAA, OCSEAP, Final Report, Vol. 2. ScHN-ErDER, D. C., AND D. C. OtJFFY. 1985. Scale-
dependent variability in seabird abundance. Mar. Ecol. Prog. Ser. 25:211-218. HANEY, J. C. 1986. Seabird segregation at Gulf Stream
frontal eddies. Mar. Ecol. Prog. Ser. 28:279-285. 5cHNEIDER, D. C., G. L. HUNT, JR., AND N. M. HARRISON. 1986. Mass and energy transfer to
seabirds in the southeastern Bering Sea. Cont. Shelf
Res. 5:241- 257. HANEY, J. C. 1991-
Influence of pycnocline topog-
raphy and water-column structure on marine dis-
tributions ofalcids (Aves: Alcidae) in Anadyr Strait,
northern Bering Sea, Alaska. Mar. Biol. 110:419-
435. ScHNEmER, D. C., AND J. F. PIATT. 1986. Scale-de-
pendent correlation of seabirds with schooling fish
in a coastal ecosystem. Mar. Ecol. Prog. Ser. 32:
237- 246. HARRISON, N. M. 1987. Foraging behavior and co-
existence of seabirds in the Bering Sea. Ph.D.diss.,
Univ. of California, Irvine, CA. ScHNEJDER, D. c., N. M. HARRISON, AND G. L. HUNT,
JR. 1987. Variation in the occurrence of marine
birds at fronts in the Bering Sea. Estuar. Coast. ShelfSci. 25:135-141. HARRISON, N. M., G. L. HUNT, JR., AND R. T. CooNEY. 1990. Front affecting the distribution of seabirds
in the northern Bering Sea. Pol. Res. 8:29-31. J L HART, J. L. 1973. Pacific fishes of Canada. Fish. Res. Board Can. Bun. 180, Ottawa. ACKNOWLEDGMENTS We thank Z. Eppley, N. Harrison, B. Obst, C. Williams
and B. Young for carrying out bird observations for
this research. The captain, crew, and marine techni-
cians of the RIV Alpha Helix were most helpfu~ with-
out their help and cooperation, the work would not
have been possible. R. H. Day, M. Rubega, D. Schnei-
der, E. Woehler, members of Ecology and Evolutionary
Biology 227 at UC Irvine, and two anonymous re-
viewers provided helpful comments on earlier drafts
of this manuscript. The research was supported in pan
by NSF Grant DPP-8308232 to GLH. CSE was sup-
ported while at UC Irvine, by the BIO/USA program
of the University of East Anglia, England. HUNT, G. L., JR., AND N. M. HARRJSON. 1990. For-
aging habits and prey taken by Least Auklets at
Kfog Island, Alaska. Mar. Ecol. Prog. Series 65:
141-150. HUNT, G. L.,JR., N. M. HARRisoN, ANDR. T.CooNEY. I 990a. The influence of hydrographic structure
and prey abundance on foraging of Least Auklets. Stud. Avian Biol. 14:7-22. HUNT, G. L , JR., 0 . HEINEMANN, R. R. VEIT, R. B. HEYWOOD, AND I. EVERSON. I 990b. The distri-
bution, abundance and community structure of
marine birds in southern Drake Passage and
Bransfield Strait, Antarctica. Cont. Shelf. Res. 10:
243-257. K!NDER, T. H., AND J. D. ScHuMACHER. 1981. Cir-
culation over the continental shelf of the south-
eastern Bering Sea, p. 53-75. In D. W. Hood and
J. A. Calder [eds.], The eastern Bering Sea shelf:
oceanography and resources. Vol. I. NOAA/
OMPA, Washington, DC. DISCUSSION Patterns and processes in time-space scales
of plankton distributions, p. 277-327. In J. H. Steele [ed.], Spatial pattern in plankton commu-
nities. Plenum Press, New York, NY. HUNT, G. L., JR., P. J. GOULD, D. J. FORSELL, AND H. PETERSON. 1981 . Pelagic distribution of marine
birds in the eastern Bering Sea, p. 689-718. In D. W. Hood and J. A. Calder [eds.), The eastern Be-
ring Sea shelf: oceanography and resources. Vol. 2. NOAA/OMPA, Washington, DC. HUNT, G. L., JR., AND D. C. 5cHNEJDER. 1987. Scale-
dependent processes in the physical and biological
environment of marine birds, p. 7-41. In J. P. Croxall [ed.], Seabirds: feeding ecology and role
in marine ecosystems. Cambridge Univ. Press,
Cambridge, England. LITERATURE CITED SEALY, S. G. 1973. Breeding biology of the homed
puffin on St. Lawrence Island, Bering Sea, with 44 CHRISS. ELPHICK AND GEORGE L. HUNT, JR. TASKER, M. L., P. HOPE JONES, T. DIXON, AND B. F. BI.AKE. 1984. Counting seabirds at sea from shlps:
a review of methods employed and a suggestion
for a standardized approach. Auk 101:567-577. zoogeographical notes on the North Pacific puffins. Pac. Sci. 27:99-119. zoogeographical notes on the North Pacific puffins. Pac. Sci. 27:99-119. SoWLS, A. L., s. A. HATCH, AND c. J. LENSfNK. 1978. Catalog of Alaskan seabird colonjes. Biologkal
Services Program, U.S. Fish and Wildlife Service,
Anchorage, AK. VEIT, R. R ., AND G . L. Hum, JR. 1991. Broadscale
density and aggregation of pelagic birds from a
circumnavigational survey of the Antarctic Ocean. Auk 108:790-800. SPRINGER, A. M., AND D. G. RosENEAU. 1985. Co-
pepod-based food webs: auklets and oceanography
in the Bering Sea. Mar. Ecol. Prog. Ser. 21 :229-
237. WALSH, J. J., C. P. McRov, L. K. COACHMAN, J. J. GOERING, J. J. NIHOUL, T. E. WHITLEDGE, T. H. BLACKBURN, P. L. PAR.KER, c. D. WIRICK, P. G. SHUERT, J. M. GREBMEIER, A. M. SPRJNGER, R. D. TRJPP, D. A. HANSELL, s. DJENIDI, E. DELEERS-
NUDER, K. HENRIKSEN, B. A. LUND, P. ANDERSEN,
F. E. MOLLER-KARGER, AND K. DEAN. 1989. Carbon and nitrogen cycling within the Bering/
Chukchi seas: source regions for organic matter
effecting AOU demands of the Arctic Ocean. Prog. Oceanog. 22:277-359. SPRJNGER, A. M., E. c. MURPHY, D. G. ROSENEAU, c. P. McRov, AND B. A. COOPER. 1987. The par-
adox of pelagic food webs in the northern Bering
Sea: I. Seabird food habits. Cont. Shelf Res. 7:895-
911. SPRJNGER, A. M., C. P. McRov, AND K. R. TuRco. 1989. The paradox of pelagic food webs in the
northern Bering Sea: ll. Zooplankton communi-
ties. Cont. Shelf Res. 9:359-386. WIENS, J. A. 1976. Population responses to patchy
environments. Ann. Rev. Ecol. Syst. 7:81-120. STEELE, J. H. 1978. Some comments on plankton
patches, p. 1-20. Jn J. H. Steele [ed.], Spatial pat-
tern in plankton communities. Plenum Press, New
York. W11.KJNsoN, L. 1990. SYST AT: the system for sta-
tistics. SYST AT, Inc., Evanston, IL. STEELE, J. H. 1989. The ocean 'landscape.' Landscape
Ecol. 3:185-192. ZAR, J. H. 1984. Biostatistical analysis. 2nd ed. Pren-
tice-Hall, Englewood Cliffs, NJ.
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Climate change impact assessment on water security in South Africa: A case study in a semi-arid river basin
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E3S web of conferences
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| ERROR: type should be string, got "https://doi.org/10.1051/e3sconf/20199806014 https://doi.org/10.1051/e3sconf/20199806014 E3S Web of Conferences 98, 06014 (2019) \nWRI-16 Climate change impact assessment on \nwater security in South Africa: A case \nstudy in a semi-arid river basin Yali Woyessa1,* 1Department of Civil Engineering, Central University of Technology, Free State, Private \nBag X20539, Bloemfontein 9300, South Africa Abstract. The main aim of this paper is to assess the impact of regional \nclimate change scenarios on the availability of water resources in a semi-\narid river basin in South Africa using a hydrological model called Soil and \nWater Assessment Tool (SWAT). In this paper, climate change data was \nderived from two downscaling approaches, namely statistical downscaling \nexperiment (SDE) and dynamic downscaling (CORDEX). These were \nderived from the GCM simulations of the Coupled Model Inter-\ncomparison Project Phase-5 (CMIP5) and across two greenhouse gas \nemission scenarios known as Representative Concentration Pathways \n(RCP) 4.5 and 8.5. The spatial resolution of the dataset for the SDE \nmethod is 25 km × 25 km and 50 km × 50 km for the CORDEX method. Six GCM models were used for SDE set of data and four for the CORDEX \nset of data. SWAT model was run using these data for a period of up to \nmid-century (2020 – 2050) for SDE and for a period of up to the end of \nthis century (2020 – 2100) for CORDEX data. The results were then \ncompared with long-term historical data (1975-2005). Comparison of \nmeasured data with simulated historical data showed strong correlation (R2 \n= 0.95 for SDE data and R2 = 0.92 for CORDEX data), which is indicative \nof the reliability of projected future climate. 1 Introduction Water security is understood to be the availability of an acceptable quantity and quality \nof water for health, livelihoods, ecosystems and production, coupled with an acceptable \nlevel of water-related risks to people, the environment and economies [1]. The problem of \nwater scarcity is likely to deepen according to some projected climate change scenarios. It \nis projected that, by 2050, the Southern African region will be generally drier [2]. In \ngeneral, for South Africa there is a tendency towards a rise in temperature as evidenced in \nthe past five decades [3]. Maximum and minimum temperatures have also shown \nsignificant increases annually, and in almost all seasons. High temperature extremes have \nincreased significantly in frequency, and low temperatures have decreased significantly in \nfrequency annually and in most seasons across the country [2]. 2 Methodology The research focused on a semi-arid river basin in the central region of South Africa, \nknown as the Modder river basin. The Modder river basin is a large basin with a total area \nof 1.73 million hectares and divided into three sub-basins, namely the Upper Modder, the \nMiddle Modder and the Lower Modder. It is located within the Upper Orange Water \nManagement Area to the east of the city of Bloemfontein. The water supply to the middle \nand lower reaches of the Modder River is stabilized by two dams known as the Rustfontein \nand Mockes dams in the east, and by Krugersdrift Dam in the west of the city of \nBloemfontein. Climate change data was derived from two downscaling approaches, namely statistical \ndownscaling experiment (SDE) and dynamic downscaling (CORDEX). The downscaled \ndata were derived from the GCM simulations of the Coupled Model Inter-comparison \nProject Phase-5 (CMIP5) and across two greenhouse gas emission scenarios known as \nRepresentative Concentration Pathways (RCP) 4.5 and 8.5. The spatial resolution of the \ndataset for the SDE method is 25 km × 25 km and for the CORDEX method it is 50 km × \n50 km. Six GCM models were used for SDE set of data and four for the CORDEX set of \ndata. SWAT model was run using these data for a period of up to mid-century (2020 – \n2050) for SDE and for a period of up to the end of this century (2020 – 2100) for CORDEX \ndata. E3S Web of Conferences 98, 06014 (2019) \nWRI-16 Recent climate projections suggest a drop of up to 10% in precipitation in most of \nsouthern Africa by 2050 [4]. It is estimated that by the year 2025 almost one-half of the \nworld population will be living in water stressed regions [5], with rapid population increase, \nindustrialization and pollution putting further strain on the available and diminishing fresh \nwater resources. Within this context, there is a general consensus that development has to \nbe sustainable, adaptable and resilient to these global changes such as climate change. Resilient development involves initiatives that will deliver benefits under all potential \nfuture circumstances related to environmental changes [1]. Therefore, this calls for \ninnovative strategic approaches to deliver water security and resilient development. The \nmain aim of this paper is to investigate impact of climate change scenarios on water \nresources and water security. * Corresponding author: ywoyessa@cut.ac.za © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons \nAttribution License 4.0 (http://creativecommons.org/licenses/by/4.0/). https://doi.org/10.1051/e3sconf/20199806014 E3S Web of Conferences 98, 06014 (2019) \nWRI-16 3 Results and Discussion Comparison of measured and simulated historical values are shown in Figures 1a and 1b for \nthe SDE approach and the CORDEX approach, respectively, for the period of 1975 to 2005. Figures 2a and 2b show the correlation between these values for SDE and CORDEX \napproaches over the same period. In Figures 2a and 2b, the blue points represent the \nobserved versus simulated values whereas the blue broken line shows the linear fit between \nthe observed and simulated values. The solid black line represents the one-to-one line (the \nperfect fit scenario). In both cases, the relationship between these two variables (measured \nand simulated historical values) are found to be strong with R2 > 0.92. The purpose of \nsimulating the historical data was to compare with climate observations over a common \nperiod and use information derived from the comparison to adjust future climate projections \nso that they are (progressively) more consistent with the historical climate records and, \npresumably, more realistic for the spatial domain of interest. 2 2 E3S Web of Conferences 98, 06014 (2019) E3S Web of Conferences 98, 06014 (2019) \nWRI-16 https://doi.org/10.1051/e3sconf/20199806014 ig. 1. Comparison of measured and simulated average historical monthly values of rain \nsing multimodel average: (a) SDE; (b) CORDEX. Fig. 1. Comparison of measured and simulated average historical monthly values of rain \nusing multimodel average: (a) SDE; (b) CORDEX. Fig. 1. Comparison of measured and simulated average historical monthly values of rain \nusing multimodel average: (a) SDE; (b) CORDEX. The projected decrease in rainfall is expected to have an impact on water balance \ncomponents of the river basin. The assessment of impact of climate change on water \nbalance components of the river basin showed varied results depending on the type of \nclimate model used and the downscaling approach, but generally, the trends were similar in \nmost cases (Figure 3a and 3b). In the case of the SDE approach, the multimodel average \nshowed a possible decrease in precipitation (by 14 %), a decrease in water yield (by 15 %) \nand an increase in potential evapotranspiration (by 10 %). A similar trend was observed for \nthe CORDEX approach, with a decrease in rainfall (by 3 %) and a decrease in water yield \n(by 13%) and an increase in evaporation (by 22 %). The increase in evaporation in both \ncases is indicative of possible drought spells between rainy events. 4 Conclusion The hydrological simulation as well as analysis of climate change data showed that there \nwill be a reduction in rainfall and other river basin water balance components under both \ngreenhouse gas emission scenarios, but the effect will be more pronounced under the \nRCP8.5. The expected decrease in rainfall coupled with increase in PET are going to be the \ntwo major drivers in exacerbating the existing problem of water scarcity in the region. For \nexample, decrease in rainfall (according to SDE’s approach) will result in the reduction of \nwater storage in a reservoir (Rustfontein Dam) by about 28% of its full capacity. If the 3 E3S Web of Conferences 98, 06014 (2019) https://doi.org/10.1051/e3sconf/20199806014 E3S Web of Conferences 98, 06014 (2019) \nWRI-16 increase in PET is added to this scenario, the effect will be much more pronounced and \nthere will be much more reduction in water storage. 2. Observed versus simulated average monthly values of rain using multimodel \nage: (a) SDE; (b) CORDEX. Climate change has direct impact on water resources. Similarly, the manageme\ner resources affects the vulnerability of ecosystems, socio-economic activities 2. Observed versus simulated average monthly values of rain using multimodel Fig. 2. Observed versus simulated average monthly values of rain using multimodel \naverage: (a) SDE; (b) CORDEX. Climate change has direct impact on water resources. Similarly, the management of \nwater resources affects the vulnerability of ecosystems, socio-economic activities and \nhuman health. Climate change is projected to lead to major changes in water availability \nwith increasing water scarcity and droughts mainly in the central region of South Africa. Water management is, therefore, expected to play an increasingly important role \nin adaptation to climate change. It is expected that the results of this research will assist in \nformulation of adaptation strategies that will minimize the negative impact of climate \nchange in the region. 4 E3S Web of Conferences 98, 06014 (2019) E3S Web of Conferences 98, 06014 (2019) \nWRI-16 https://doi.org/10.1051/e3sconf/20199806014 Fig. 3. Percentage change of future water balance components: (a) mid-century – SDE, (b) \nend of century – CORDEX. Fig. 3. Percentage change of future water balance components: (a) mid-century – SDE, (b) \nend of century – CORDEX. Fig. 3. Percentage change of future water balance components: (a) mid-century – SDE, (b) \nend of century – CORDEX. References 1. AMCOW, Water security and climate resilient development: Technical Background \nDocument (2012) 1. AMCOW, Water security and climate resilient development: Technical Background \nDocument (2012) 2. South African Department of Environmental Affairs, Climate trends and scenarios for \nSouth Africa, in Long Term Adaptation Scenarios (2013) 2. South African Department of Environmental Affairs, Climate trends and scenarios for \nSouth Africa, in Long Term Adaptation Scenarios (2013) 3. N. MacKellar, et al., South Afr J Sci, 110, 1-13 (2014) 3. N. MacKellar, et al., South Afr J Sci, 110, 1-13 (2014) 4. E. Levina, Domestic Policy Frameworks for Adaptation to Climate Change in the \nWater Sector Part II: Non-Annex I Countries. Lessons Learned from Mexico, India, \nArgentina and Zimbabwe, OECD, Paris (2006) 4. E. Levina, Domestic Policy Frameworks for Adaptation to Climate Change in the \nWater Sector Part II: Non-Annex I Countries. Lessons Learned from Mexico, India, \nArgentina and Zimbabwe, OECD, Paris (2006) 5. World Water Council, World Water Vision: Making Water Everybody’s Business, \nEarthscan Publications, London (2000) 5"
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LncRNA PRRT3-AS1 exerts oncogenic effects on nonsmall cell lung cancer by targeting microRNA-507/homeobox B5 axis
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Oncology research
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LncRNA PRRT3-AS1 exerts oncogenic effects on nonsmall cell lung
cancer by targeting microRNA-507/homeobox B5 axis RUI ZHOU#; JIANYANG XU#; LINGWEI WANG*; JIANXIN LI* Department of Thoracic Surgery, Affiliated Zhongshan Hospital of Dalian University, Dalian, 116011, China Key words: Targeted therapy, lncRNA, microRNA, NSCLC Abstract: Long noncoding RNAs (lncRNAs) act as key regulators controlling complex cellular behaviors in nonsmall cell
lung cancer (NSCLC). We investigated the expression of lncRNA PRRT3 antisense RNA 1 (PRRT3-AS1) in paired
samples of NSCLC and adjacent normal tissues from a patient cohort in our hospital using real-time quantitative
reverse transcription polymerase chain reaction (qRT-PCR) and found that it was significantly higher in NSCLC
tissue than in normal tissue, consistent with The Cancer Genome Atlas database. Furthermore, functional
investigation revealed that lncRNA PRRT3-AS1 depletion inhibited NSCLC-cell proliferation, colony formation,
invasion, and migration, whereas its overexpression exerted the opposite effects. Moreover, PRRT3-AS1 knockdown
suppressed in vivo NSCLC growth. Investigation of downstream mechanisms using RNA immunoprecipitation and
luciferase reporter assay revealed that lncRNA PRRT3-AS1 acted as a competing endogenous RNA by adsorbing
microRNA-507 (miR-507) and enhanced the expression of its target gene, homeobox B5 (HOXB5), in NSCLC. Furthermore, miR-507 downregulation or HOXB5 upregulation eliminated the cancer-inhibiting effects of lncRNA
PRRT3-AS1 depletion in NSCLC cells. To conclude, the lncRNA PRRT3-AS1/miR-507/HOXB5 pathway acts as a
promoter of malignant characteristics in NSCLC, and this newly identified competing endogenous RNA pathway may
be an effective diagnostic, prognostic, and therapeutic target in NSCLC. NSCLC pathogenesis is vital to identify effective targets for
NSCLC diagnosis, prevention, and management. ONCOLOGY RESEARCH
2021 29(6): 411-423 ONCOLOGY RESEARCH
2021 29(6): 411-423 ONCOLOGY RESEARCH
2021 29(6): 411-423 ech
T
Press
Science Introduction Long noncoding RNAs (lncRNAs) are a family of RNA
molecules comprising 200 or more nucleotides with no
protein-coding ability [5,6]. In the past, lncRNAs were
considered “transcriptional noise” or “dark matter” [7–9]. However, recent studies have shown that lncRNAs are
crucial
for
regulating
physiological
and
pathological
processes, such as chromatin remodeling, cell differentiation,
and carcinogenesis [10–13], as well as cancer progression
[14–16]. Recently, several lncRNAs were reported to be
dysregulated in NSCLC [17–19], with upregulated lncRNAs
playing an oncogenic role to promote NSCLC progression,
whereas weakly expressed lncRNAs playing an anticancer
role [20–22]. Among all cancers in humans, lung cancer has the highest
incidence
and
mortality
rate
globally
[1],
with
approximately 2.1 million lung cancer cases and over
1.8 million mortalities annually. Nonsmall cell lung cancer
(NSCLC)
is
the
predominant
type
of
lung
cancer,
accounting for approximately 85% of all lung cancer cases
[2]. Although advances in therapeutics have significantly
improved the prognosis of NSCLC patients in recent
decades, the therapeutic efficacy remains unsatisfactory, and
many
NSCLC
patients
still
die
[3]. The
NSCLC
pathogenesis and development is a complicated multistep
process involving many risk factors and genes, and the
underlying molecular mechanisms are poorly understood
[4]. Therefore, determining the mechanisms underlying MicroRNAs
(miRNAs)
are
a
family
of
short
(approximately 17–23 nucleotides) endogenous noncoding
RNA molecules [23]. MiRNA dysregulation, widely reported
in NSCLC, affects malignant properties [24–26]. During the
past decade, the theory of competing endogenous RNAs
(ceRNAs) has been proposed [27], notably showing that
lncRNAs can sequester miRNAs, thereby increasing the
downstream
targets
of
miRNAs
[28]. Therefore, Address correspondence to: Lingwei Wang, wanglw@tongji.edu.cn;
Jianxin Li, Lijianxin1966@sina.com
#Contributed equally
Received: 25 August 2022; Accepted: 13 October 2022 RUI ZHOU et al. qPCR) to determine miR-507 expression by using the Mir-X
miRNA quantitative reverse transcription PCR (qRT-PCR)
TB Green Kit (TaKaRa). U6 served as the endogenous
control for miR-507. To measure PRRT3-AS1 and HOXB5
expression, we used the PrimeScript RT Reagent Kit for
cDNA synthesis and SYBR Premix Ex TaqTM II (TaKaRa)
for qPCR. PRRT3-AS1 and HOXB5 levels were normalized
to GAPDH the internal control, and reported as log-fold
changes using the 2−ΔΔCq formula. characterizing the functions of novel NSCLC-associated
lncRNAs or miRNAs is critical for developing promising
therapeutic targets. p
g
Several lncRNAs are known to be key regulators of
NSCLC malignancy. We investigated the expression and
detailed functions of PRRT3 antisense RNA 1 (PRRT3-AS1)
in NSCLC, in addition to the downstream mechanisms. Cell cultures Cell cultures
We purchased human NSCLC cell lines A549, H460, SK-
MES-1, and H1299 from the American Type Culture
Collection
(ATCC;
Manassas,
VA,
USA). Bronchial
epithelial cell growth medium (Lonza; Walkersville, MD,
USA) was adopted for culturing a human nontumorigenic
bronchial epithelial cell line BEAS-2B (ATCC). Cell lines
A549 and H1299 were grown in RPMI-1640 medium
(Gibco). SK-MES-1 and H460 cell lines were grown in F-
12K and MEM (Gibco), respectively. Each of the above
culture media were supplemented with 10% fetal bovine
serum (FBS) and 1% penicillin-streptomycin (Gibco). All
cells were grown in a humidified atmosphere of 5% CO2 at
37°C. Transwell cell migration and invasion assays Transwell cell migration and invasion assays
We explored the invasive ability of NSCLC cells using
Transwell inserts (BD Biosciences). We added 100 µL of
Matrigel (BD Biosciences) into the inner sides of the
Transwell
inserts
and
performed
polymerization
by
incubating them at 37°C for 2 h. Next, we loaded the upper
chambers
with
100
μL
of
FBS-free
culture
medium
containing 4 × 104 of transfected cells, and plated 600 μL of
culture medium supplemented with 10% FBS into the lower
chambers. We allowed the NSCLC cells to penetrate the
pores in the submembrane surface for 24 h, then fixed them
with 100% methanol, and stained them with 0.1% crystal
violet. The cells that invaded the lower chambers were
counted in five randomly chosen regions (in each well)
under an inverted microscope. For the migration assay, we
did not apply Matrigel, but the remaining steps were the
same as those in the Matrigel invasion assay. Clinical tissue samples p
We obtained NSCLC tissues from 53 patients in our hospital
who had not undergone chemotherapy or radiotherapy before
surgery. Immediately after tissue excision, all tissue samples
were immersed and stored in liquid nitrogen until further
analysis. This
research
was
approved
by
the
ethics
committee of the Affiliated Zhongshan Hospital of Dalian
University. In addition, all participating patients provided
written informed consent. For colonies, a cell suspension was prepared, and 2 ml of
the cell suspension containing 600 cells was added into each
well of 6-well plates. After 14 days of cultivation, the newly
formed colonies were fixed with 100% methanol and stained
with 0.1% crystal violet. The cells in the colonies were
manually counted using an inverted microscope (x200
magnification). Doi: 10.32604/or.2022.026236 Doi: 10.32604/or.2022.026236 Doi: 10.32604/or.2022.026236 www.techscience.com/journal/or This work is licensed under a Creative Commons Attribution 4.0 International License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited. 412 RUI ZHOU et al. Materials and Methods Cell Counting Kit-8 and colony formation assays
We
inoculated
transfected
NSCLC
cells
into
96-well
plates with a density of 2000 cells per well and incubated
them at 37°C in a 5% CO2 atmosphere. After incubating
with 10 µL of the cell counting kit-8 (CCK-8) solution
(Beyotime), we estimated the proliferation rate by the
measurement of optical density at 450 nm. We performed
the assay every day until day 4 and plotted the results as a
growth curve. THE ACTIONS OF PRRT3-AS1 IN NSCLC 413 mice were anesthetized by means of cervical dislocation,
and the tumor xenografts were completely detached and
weighed. Western blotting
We performed total protein extraction and quantification
using the Pierce RIPA lysis buffer and the PierceTM
bicinchoninic acid (BCA) Kit (both from Thermo Fisher
Scientific; MA, USA), respectively. Protein samples were
separated by 10% SDS-PAGE and blotted onto PVDF
membranes. After blocking them with 5% defatted milk
powder, the membranes were incubated at 4°C overnight
with the primary antibodies against Hoxb5 (ab109375) or
Gapdh
(ab128915),
followed
by
incubation
with
the
HRP-conjugated anti-rabbit secondary antibody (ab6721;
all
from
Abcam,
USA). Finally,
the
bands
of
target
proteins were developed by treatment with an enhanced
chemiluminescence reagent (Beyotime). All animal experiments were approved by the Animal
Care and Use Committee of Affiliated Zhongshan Hospital
of Dalian University. The humane endpoints were tumor
diameter >1.5 cm, tumor ulceration, abnormal feeding,
weight loss, ascites and cachexia. Meanwhile, no anesthesia
was applied in the animal experiments. Fluorescence in situ hybridization
The subcellular location of PRRT3-AS1 in NSCLC cells was
examined using the Fluorescent In Situ Hybridization
(FISH) Kit (RiboBio Co., Ltd.,). In detail, after washing with
phosphate-buffered saline, H460 and A549 cells were fixed
with 4% paraformaldehyde, followed by the hybridization
treatment specifically targeting PRRT3-AS1 (RiboBio Co.,
Ltd.) at 37°C without light. On the next day, DNA staining
was performed using Hoechst solution. The cells were,
imaged under a confocal laser scanning microscope (Leica;
Solms, Germany). Statistical analysis
All experiments were independently repeated three times. Results are reported as the mean ± 1 SD. The between-
group differences were compared using Student’s t-test or
ANOVA. p < 0.05 was considered statistically significant. Transfection We purchased small interfering RNAs (siRNAs) against
PRRT3-AS1 (si-PRRT3-AS1) and homeobox B5 (HOXB5;
si-HOXB5) and negative control (NC) siRNA (si-NC) from
GenePharma (Shanghai, China). In addition, we used the
miR-507 mimic and miR-507 inhibitor (RiboBio Co., Ltd. Guangzhou,
China)
to
knock
down
and
upregulate
endogenous miR-507 levels, respectively. We used miRNA
mimic (miR-NC) and inhibitor NCs as controls. The
PRRT3-AS1 overexpression plasmid pcDNA3.1-PRRT3-AS1
(pc-PRRT3-AS1)
and
HOXB5
overexpression
plasmid
pcDNA3.1-HOXB5
(pc-HOXB5)
were
designed
and
synthesized by GenePharma. NSCLC cells were seeded into
6-well plates, and cell transfection was executed when cell
growth reached 80% confluence. Cellular transfection was
done
by
applying
Lipofectamine
2000
(Invitrogen,
Carlsbad, CA, USA) and the vectors to the wells. Xenograft tumor assay
The short hairpin RNA (shRNA) targeting PRRT3-AS1
(sh-PRRT3-AS1), and NC shRNA (sh-NC) were designed
and chemically generated by GenePharma. We inserted the
shRNAs into a lentiviral vector to transfect the shRNAs into
H460
cells. The
PRRT3-AS1-knockdown
H460
cells
were selected by cultivating them with puromycin. Next,
a total of 8 BALB/c nude mice (age, 4–6 weeks) were
obtained
from
HFK
Bioscience
(Beijing,
China)
and
randomly divided into sh-PRRT3-AS1 and sh-NC groups. A total of 2 × 106 PRRT3-AS1-knockdown H460 cells were
subcutaneously
inoculated
into
each
mouse
in
the
sh-PRRT3-AS1
group. We
monitored
the
width
and
length
of
tumor
xenografts
from
1
week
after
cell
inoculation and then every 5 days. Thirty-two days later, all Quantitative reverse transcription polymerase chain reaction
We used the TRIzol reagent (Invitrogen) to extract total
RNA. Total RNA was reverse-transcribed by using the Mir-
X miRNA First-Strand Synthesis Kit (TaKaRa; Dalian,
China). With the obtained cDNA as a template, we
performed quantitative polymerase chain reaction (PCR; Bioinformatics prediction Bioinformatics prediction
We
searched
the
miRNA
Target
Prediction
DataBase
(miRDB)
(http://mirdb.org/)
database
for
PRRT3-AS1’s
target miRNAs. To predict the downstream target of miR-
507, we used Targetscan (https://www.targetscan.org/vert_
80/) applied to miRDB. PRRT3-AS1 promotes the aggressive behaviors of NSCLC cells
PRRT3-AS1
expression
in
human
cancers
was
first
investigated by analyzing The Cancer Genome Atlas dataset. We found that this gene was upregulated in nearly all
human cancer types (Fig. 1A). Additionally, PRRT3-AS1
was the 47th overexpressed lncRNA in lung adenocarcinoma
(LUAD;
Fig. 1B). Also,
relative
to
control
samples,
PRRT3-AS1 was obviously overexpressed in lung squamous
cell carcinoma and LUAD samples in the TCGA database
(Fig. 1C). Next, we collected paired samples of NSCLC
and
adjacent
normal
tissues
from
53
patients
and
determined the lncRNA PRRT3-AS1 levels in both sets. The
qRT-PCR analysis revealed that PRRT3-AS1 was strongly
expressed in NSCLC tissues (Fig. 1D). In addition, all four
NSCLC cell lines manifested relatively higher lncRNA
PRRT3-AS1 levels than the BEAS-2B (non-tumor control)
cells (Fig. 1E). RNA immunoprecipitation assay (B)
PRRT3-AS1
ranks
the
47th
overexpressed lncRNA in LUAD. (C) PRRT3-AS1 level in LUAD and
LUSC
tissues
from
the
TCGA
database. (D) PRRT3-AS1 level in
NSCLC tissues from our cohort
(N = 3). (E) PRRT3-AS1 level in
NSCLC cell lines (N = 3). **p < 0.001. by anti-Ago2 antibody (Fig. 3G). Overall, these results
indicate that lncRNA PRRT3-AS1 functioned as a miR-507
sponge. by anti-Ago2 antibody (Fig. 3G). Overall, these results
indicate that lncRNA PRRT3-AS1 functioned as a miR-507
sponge. PRRT3-AS1 acts as a miR-507 sponge in NSCLC PRRT3-AS1 acts as a miR-507 sponge in NSCLC
To
determine
downstream
mechanisms
of
PRRT3-AS1
activation,
we
detected
the
subcellular
localization
of
PRRT3-AS1 in NSCLC cells. First, to predict lncRNA
PRRT3-AS1’s subcellular location, we used lncLocator (http://
www.csbio.sjtu.edu.cn/bioinf/lncLocator/),
which
indicated
that it was mostly located in the cytoplasm (Fig. 3A). We
verified the prediction by using FISH, confirming that
PRRT3-AS1 was indeed a cytoplasmic lncRNA (Fig. 3B). This
observation
suggested
that
lncRNA
PRRT3-AS1
may act as a ceRNA of miRNAs. To follow up on this lead,
we performed a bioinformatic analysis of the miRDB
database revealing that lncRNA PRRT3-AS1 had potential
binding sites for 20 miRNAs (Fig. 3C). A search of the
literature identified six miRNAs, including miR-494-3p [29],
miR-146b-5p
[30],
miR-146a-5p
[31],
miR-1827
[32],
miR-507 [33], and miR-136-5p [34], which were shown to
be
significantly
correlated
with
NSCLC
progression. Therefore, we selected these six miRNAs for further analysis. We investigated the regulatory effects of lncRNA
PRRT3-AS1 on the six miRNAs and found that miR-507
was the one that changed the most (Fig. 3D). Luciferase
reporter assay was adopted to confirm the binding between
lncRNA PRRT3-AS1 and miR-507 (Fig. 3E) and indicated
that
upregulated
miR-507
expression
decreased
the
luciferase activity of WT-PRRT3-AS1, while MUT-PRRT3-
AS1
activity
remained
unaffected
after
miR-507
upregulation
(Fig. 3F). Additionally,
PRRT3-AS1
and
miR-507 were abundant in the RNA immunoprecipitated HOXB5 is directly targeted by miR-507 in NSCLC cells and
controlled by the lncRNA PRRT3-AS1/miR-507 axis Next, we determined the roles of miR-507 overexpression
(Fig. 4A) in NSCLC cells. We found that miR-507 enhanced
tumor-suppressing
activities
in
NSCLC
cells,
affecting
multiple aggressive behaviors (Figs. 4B–4E). Since HOXB5
(Fig. 5A) was predicted as a potential target of miR-507, we
next analyzed whether miR-507 directly targeted HOXB5 in
NSCLC
cells. RNA immunoprecipitation assay In addition, si-PRRT3-AS1-
induced inhibition of HOXB5 expression in H460 cells
recovered after cotransfection with an miR-507 inhibitor,
FIGURE
1. PRRT3-AS1
is
upregulated in NSCLC. (A) PRRT3-
AS1 level in all human cancer types
from TCGA dataset (N = 3). (B)
PRRT3-AS1
ranks
the
47th
overexpressed lncRNA in LUAD. (C) PRRT3-AS1 level in LUAD and
LUSC
tissues
from
the
TCGA
database. (D) PRRT3-AS1 level in
NSCLC tissues from our cohort
(N = 3). (E) PRRT3-AS1 level in
NSCLC cell lines (N = 3). **p < 0.001. PRRT3-AS1 acts as a miR-507 sponge in NSCLC
by anti-Ago2 antibody (Fig
3G)
Overall
these results
FIGURE
1. PRRT3-AS1
is
upregulated in NSCLC. (A) PRRT3-
AS1 level in all human cancer types
from TCGA dataset (N = 3). (B)
PRRT3-AS1
ranks
the
47th
overexpressed lncRNA in LUAD. (C) PRRT3-AS1 level in LUAD and
LUSC
tissues
from
the
TCGA
database. (D) PRRT3-AS1 level in
NSCLC tissues from our cohort
(N = 3). (E) PRRT3-AS1 level in
NSCLC cell lines (N = 3). **p < 0.001. FIGURE
1. PRRT3-AS1
is
upregulated in NSCLC. (A) PRRT3-
AS1 level in all human cancer types
from TCGA dataset (N = 3). (B)
PRRT3-AS1
ranks
the
47th
overexpressed lncRNA in LUAD. (C) PRRT3-AS1 level in LUAD and
LUSC
tissues
from
the
TCGA
database. (D) PRRT3-AS1 level in
NSCLC tissues from our cohort
(N = 3). (E) PRRT3-AS1 level in
NSCLC cell lines (N = 3). **p < 0.001. FIGURE
1. PRRT3-AS1
is
upregulated in NSCLC. (A) PRRT3-
AS1 level in all human cancer types
from TCGA dataset (N = 3). (B)
PRRT3-AS1
ranks
the
47th
overexpressed lncRNA in LUAD. (C) PRRT3-AS1 level in LUAD and
LUSC
tissues
from
the
TCGA
database. (D) PRRT3-AS1 level in
NSCLC tissues from our cohort
(N = 3). (E) PRRT3-AS1 level in
NSCLC cell lines (N = 3). **p < 0.001. FIGURE
1. PRRT3-AS1
is
upregulated in NSCLC. (A) PRRT3-
AS1 level in all human cancer types
from TCGA dataset (N = 3). (B)
PRRT3-AS1
ranks
the
47th
overexpressed lncRNA in LUAD. (C) PRRT3-AS1 level in LUAD and
LUSC
tissues
from
the
TCGA
database. (D) PRRT3-AS1 level in
NSCLC tissues from our cohort
(N = 3). (E) PRRT3-AS1 level in
NSCLC cell lines (N = 3). **p < 0.001. FIGURE
1. PRRT3-AS1
is
upregulated in NSCLC. (A) PRRT3-
AS1 level in all human cancer types
from TCGA dataset (N = 3). RNA immunoprecipitation assay We performed a RNA immunoprecipitation (RIP) assay using
the Magna RIP RNA-Binding Protein Immunoprecipitation
kit (Merck-Millipore; Bedford, MA, USA). Briefly, we
harvested 80% confluent NSCLC cells and lysed them using
the RIP lysis buffer. Next, we performed Argonaute 2
(Ago2) immunoprecipitation by incubating the cell lysate
with magnetic beads conjugated with anti-Ago2 antibody or
normal
immunoglobulin
G
(IgG)
(control;
Merck
Millipore). Ago2 is an important element of RNA-induced
silencing complex, and it can promote the degradation of
target mRNAs via its catalytic activity in gene silencing
processes induced by miRNAs. After overnight incubation
at 4°C, we extracted the immunoprecipitated RNA and
evaluated the abundance of lncRNA PRRT3-AS1, miR-507,
and HOXB5 mRNA using qRT-PCR. We knocked down PRRT3-AS1 in H460 cells by
transfecting them with si-PRRT3-AS1. To avoid the off-
target effect, we used two siRNAs and verified that both
manifested effective PRRT3-AS1 knockdown. Meanwhile,
we applied pc-PRRT3-AS1 to overexpress PRRT3-AS1 in
A549 cells (Fig. 2A), and then examined the biological
effects of PRRT3-AS1 in the cells. PRRT3-AS1 knockdown
clearly inhibited the proliferation of H460 cells, whereas
PRRT3-AS1
overexpression
promoted
A549
cell
proliferation (Fig. 2B). In addition, colony formation was
clearly
restricted
in
H460
cells
following
PRRT3-AS1
ablation,
while
PRRT3-AS1
upregulation
caused
the
opposite tendency in A549 cells (Fig. 2C). Furthermore,
PRRT3-AS1 knockdown decreased the motility (Figs. 2D
and 2E) of H460 cells, whereas transfection with pc-PRRT3-
AS1 resulted in the enhancement of A549 cell motility (Figs. 2D and 2E). Together, these results indicate that lncRNA
PRRT3-AS1 performed oncogenic actions during NSCLC
progression. Luciferase reporter assay
The PRRT3-AS1 and HOXB5 wild-type (WT) sequences,
both enclosing the predicted miR-507-binding sequences,
were
amplified
by
GenePharma,
and
fused
to
the
psiCHECKTM-2
luciferase
reporter
vector
(Promega),
generating the WT-PRRT3-AS1 and WT-HOXB5 reporter
vectors. Similarly, the mutant (MUT) luciferase reporter
vectors MUT-PRRT3-AS1 and MUT-HOXB5 were built by
inserting PRRT3-AS1 and HOXB5 mutant sequences into
the
psiCHECKTM-2
vector. Next,
NSCLC
cells
were
transfected with WT or matched MUT reporter vectors
alongside
the
miR-507
mimic
or
miR-NC. On
post-
transfection
day
2,
we
detected
luciferase
activity
by
applying the dual-luciferase reporter assay (Promega). RUI ZHOU et al. RUI ZHOU et al. RUI ZHOU et al. 414 PRRT3-AS1 acts as a miR-507 sponge in NSCLC
To
determine
downstream
mechanisms
of
PRRT3-AS1
activation,
we
detected
the
subcellular
localization
of
PRRT3-AS1 in NSCLC cells. RNA immunoprecipitation assay First, to predict lncRNA
PRRT3-AS1’s subcellular location, we used lncLocator (http://
www.csbio.sjtu.edu.cn/bioinf/lncLocator/),
which
indicated
that it was mostly located in the cytoplasm (Fig. 3A). We
verified the prediction by using FISH, confirming that
PRRT3-AS1 was indeed a cytoplasmic lncRNA (Fig. 3B). This
observation
suggested
that
lncRNA
PRRT3-AS1
may act as a ceRNA of miRNAs. To follow up on this lead,
we performed a bioinformatic analysis of the miRDB
database revealing that lncRNA PRRT3-AS1 had potential
binding sites for 20 miRNAs (Fig. 3C). A search of the
literature identified six miRNAs, including miR-494-3p [29],
miR-146b-5p
[30],
miR-146a-5p
[31],
miR-1827
[32],
miR-507 [33], and miR-136-5p [34], which were shown to
be
significantly
correlated
with
NSCLC
progression. Therefore, we selected these six miRNAs for further analysis. We investigated the regulatory effects of lncRNA
PRRT3-AS1 on the six miRNAs and found that miR-507
was the one that changed the most (Fig. 3D). Luciferase
reporter assay was adopted to confirm the binding between
lncRNA PRRT3-AS1 and miR-507 (Fig. 3E) and indicated
that
upregulated
miR-507
expression
decreased
the
luciferase activity of WT-PRRT3-AS1, while MUT-PRRT3-
AS1
activity
remained
unaffected
after
miR-507
upregulation
(Fig. 3F). Additionally,
PRRT3-AS1
and
miR-507 were abundant in the RNA immunoprecipitated
by anti-Ago2 antibody (Fig. 3G). Overall, these results
indicate that lncRNA PRRT3-AS1 functioned as a miR-507
sponge. HOXB5 is directly targeted by miR-507 in NSCLC cells and
controlled by the lncRNA PRRT3-AS1/miR-507 axis
Next, we determined the roles of miR-507 overexpression
(Fig. 4A) in NSCLC cells. We found that miR-507 enhanced
tumor-suppressing
activities
in
NSCLC
cells,
affecting
multiple aggressive behaviors (Figs. 4B–4E). Since HOXB5
(Fig. 5A) was predicted as a potential target of miR-507, we
next analyzed whether miR-507 directly targeted HOXB5 in
NSCLC
cells. We
found
that
miR-507
overexpression
decreased the luciferase activity of the WT-HOXB5 vector
in NSCLC cells, whereas no change was observed for the
MUT-HOXB5 luciferase vector (Fig. 5B). In addition, our
data showed a significant decrease in HOXB5 levels (Figs. 5C and 5D) in miR-507-overexpressed-NSCLC cells. All
these
results
together
demonstrate
that
HOXB5
is
a
downstream target of miR-507 in NSCLC cells. Given that lncRNA PRRT3-AS1 sequestered miR-507
in NSCLC, we hypothesized that lncRNA PRRT3-AS1
indirectly
modulated
HOXB5
expression
through
sequestering miR-507. In fact, HOXB5 levels were decreased
in H460 cells after lncRNA PRRT3-AS1 depletion, whereas
HOXB5 levels were increased in pc-PRRT3-AS1-transfected
A549 cells (Figs. 5E–5H). RNA immunoprecipitation assay We
found
that
miR-507
overexpression
decreased the luciferase activity of the WT-HOXB5 vector
in NSCLC cells, whereas no change was observed for the
MUT-HOXB5 luciferase vector (Fig. 5B). In addition, our
data showed a significant decrease in HOXB5 levels (Figs. 5C and 5D) in miR-507-overexpressed-NSCLC cells. All
these
results
together
demonstrate
that
HOXB5
is
a
downstream target of miR-507 in NSCLC cells. y
We investigated the regulatory effects of lncRNA
PRRT3-AS1 on the six miRNAs and found that miR-507
was the one that changed the most (Fig. 3D). Luciferase
reporter assay was adopted to confirm the binding between
lncRNA PRRT3-AS1 and miR-507 (Fig. 3E) and indicated
that
upregulated
miR-507
expression
decreased
the
luciferase activity of WT-PRRT3-AS1, while MUT-PRRT3-
AS1
activity
remained
unaffected
after
miR-507
upregulation
(Fig. 3F). Additionally,
PRRT3-AS1
and
miR-507 were abundant in the RNA immunoprecipitated g
Given that lncRNA PRRT3-AS1 sequestered miR-507
in NSCLC, we hypothesized that lncRNA PRRT3-AS1
indirectly
modulated
HOXB5
expression
through
sequestering miR-507. In fact, HOXB5 levels were decreased
in H460 cells after lncRNA PRRT3-AS1 depletion, whereas
HOXB5 levels were increased in pc-PRRT3-AS1-transfected
A549 cells (Figs. 5E–5H). In addition, si-PRRT3-AS1-
induced inhibition of HOXB5 expression in H460 cells
recovered after cotransfection with an miR-507 inhibitor, THE ACTIONS OF PRRT3-AS1 IN NSCLC 415 ile treatment with a miR-507 mimic lead to recovery from
increased HOXB5 expression induced by pc PRRT3 AS1
in products immunoprecipitated by the anti-Ago2 antib
(Fig
5I)
Together
these results showed that lncR
GURE 2. PRRT3-AS1 facilitates the malignant properties of NSCLC cells. (A) Inhibition efficiency of two siRNAs targeting PRRT3-AS
60 cells. The efficiency of pc-PRRT3-AS1 was also explored in A549 cells (N = 3). (B) Cell proliferation of PRRT3-AS1-knockdown H
s and PRRT3-AS1-overexpressed A549 cells (N = 3). (C) The colony formation of si-PRRT3-AS1-transfected H460 cells and pc-PRR
1-transfected A549 cells (N = 3). (D) The migration of si-PRRT3-AS1-transfected H460 cells and pc-PRRT3-AS1-transfected A549 cells
) 100 magnification. (E) The invasion of si-PRRT3-AS1-transfected H460 cells and pc-PRRT3-AS1-transfected A549 cells (N = 3) 10
gnification. *p < 0.01 and **p < 0.001. FIGURE 2. PRRT3-AS1 facilitates the malignant properties of NSCLC cells. (A) Inhibition efficiency of two siRNAs targeting PRRT3-AS1 in
H460 cells. The efficiency of pc-PRRT3-AS1 was also explored in A549 cells (N = 3). (B) Cell proliferation of PRRT3-AS1-knockdown H460
cells and PRRT3-AS1-overexpressed A549 cells (N = 3). RNA immunoprecipitation assay (C) The colony formation of si-PRRT3-AS1-transfected H460 cells and pc-PRRT3-
AS1-transfected A549 cells (N = 3). (D) The migration of si-PRRT3-AS1-transfected H460 cells and pc-PRRT3-AS1-transfected A549 cells (N
= 3) 100 magnification. (E) The invasion of si-PRRT3-AS1-transfected H460 cells and pc-PRRT3-AS1-transfected A549 cells (N = 3) 100
magnification. *p < 0.01 and **p < 0.001. while treatment with a miR-507 mimic lead to recovery from
the increased HOXB5 expression induced by pc-PRRT3-AS1
in A549 cells (Figs. 5E–5H). The RIP assay validated that
lncRNA PRRT3-AS1, miR-507, and HOXB5 were abundant in products immunoprecipitated by the anti-Ago2 antibody
(Fig. 5I). Together, these results showed that lncRNA
PRRT3-AS1 decoyed miR-507 in NSCLC cells and thus,
positively modulate HOXB5 expression. RUI ZHOU et al. 416 FIGURE 3. PRRT3-AS1 is an miR-507 sponge in NSCLC cells. (A) Predicted location of PRRT3-AS1 according to lncLocator. (B) Subcellular
distribution of PRRT3-AS1 in NSCLC cells. (C) miRDB online database to predict potential miRNA-targeting PRRT3-AS1. (D) Levels of the
six candidates in H460 cells after PRRT3-AS1 depletion. Also, the levels of six candidates in A549 cells after PRRT3-AS1 upregulation was also
investigated (N = 3). (E) The WT and MUT binding sites of miR-507 within PRRT3-AS1. (F) Luciferase reporter assay implemented in NSCLC
cells after cotransfection with the miR-507 mimic or miR-NC and WT-PRRT3-AS1 or MUT-PRRT3-AS1 (N = 3). (G) RIP assay to analyze the
interaction between PRRT3-AS1 and miR-507 (N = 3). **p < 0.001. 416
RUI ZHOU et al. FIGURE 3. PRRT3-AS1 is an miR-507 sponge in NSCLC cells. (A) Predicted location of PRRT3-AS1 according to lncLocator. (B) Subcellular
distribution of PRRT3-AS1 in NSCLC cells. (C) miRDB online database to predict potential miRNA-targeting PRRT3-AS1. (D) Levels of the
six candidates in H460 cells after PRRT3-AS1 depletion. Also, the levels of six candidates in A549 cells after PRRT3-AS1 upregulation was also
investigated (N = 3). (E) The WT and MUT binding sites of miR-507 within PRRT3-AS1. (F) Luciferase reporter assay implemented in NSCLC
cells after cotransfection with the miR-507 mimic or miR-NC and WT-PRRT3-AS1 or MUT-PRRT3-AS1 (N = 3). (G) RIP assay to analyze the
interaction between PRRT3-AS1 and miR-507 (N = 3). **p < 0.001. FIGURE 3. PRRT3-AS1 is an miR-507 sponge in NSCLC cells. (A) Predicted location of PRRT3-AS1 according to lncLocator. (B) Subcellular
distribution of PRRT3-AS1 in NSCLC cells. (C) miRDB online database to predict potential miRNA-targeting PRRT3-AS1. RNA immunoprecipitation assay (B, C) Cell proliferation and colony formation of miR-507-overxressed NSCLC cells (N = 3). (D, E) The motility of
miR-507-overexpressed NSCLC cells (N = 3) 100 magnification. **p < 0.001. FIGURE 4. Overexpressed miR-507 inhibits the malignant process of NSCLC cells. (A) The efficiency of miR-507 mimic transfection in
NSCLC cells (N = 3). (B, C) Cell proliferation and colony formation of miR-507-overxressed NSCLC cells (N = 3). (D, E) The motility of
miR-507-overexpressed NSCLC cells (N = 3) 100 magnification. **p < 0.001. FIGURE 4. Overexpressed miR-507 inhibits the malignant process of NSCLC cells. (A) The efficiency of miR-507 mimic transfection in
NSCLC cells (N = 3). (B, C) Cell proliferation and colony formation of miR-507-overxressed NSCLC cells (N = 3). (D, E) The motility of
miR-507-overexpressed NSCLC cells (N = 3) 100 magnification. **p < 0.001. PRRT3-AS1-overexpresed
A549
cells
underwent
cotransfection with the miR-507 mimic or si-HOXB5. The
cell proliferation inhibited by si-PRRT3-AS1 was reversed
by miR-507 inhibition or HOXB5 upregulation (Fig. 6C). Conversely, miR-507 overexpression or HOXB5 depletion
recovered the increased cell proliferation in A549 cells
transfected with pc-PRRT3-AS1 (Fig. 6C). Remarkably,
interference with lncRNA PRRT3-AS1 hampered colony
formation of H460 cells; conversely, inhibition of miR-507
or
upregulation
of
HOXB5
prevented
this
influence
(Fig. 7A). In summary, treatment with the miR-507 mimic
or
si-HOXB5
was
capable
of
recovering
the
colony
formation of A549 cells that was promoted by pc-PRRT3-
AS1 (Fig. 7B). while those of cells transfected with miR-507 mimic or si-
HOXB5 decreased this effect (Fig. 7D). To conclude,
lncRNA PRRT3-AS1 worsened the oncogenicity of NSCLC,
at
least,
in
part,
by
targeting
the
miR-507/HOXB5
regulatory axis. PRRT3-AS1 depletion impairs growth of NSCLC cells in vivo
Xenograft tumor assay was performed to illustrate whether
lncRNA PRRT3-AS1 affected NSCLC tumor growth in vivo. In contrast to tumors in the sh-NC group, the sh-PRRT3-
AS1-transfected subcutaneous
tumors
grew
significantly
slower (Figs. 8A and 8B). Also, tumor weight was much
lower in the sh-PRRT3-AS1 group in comparison with that
in the sh-NC group (Fig. 8C). Furthermore, lncRNA
PRRT3-AS1 (Fig. 8D) and HOXB5 (Fig. 8E) levels were
reduced in tumor xenografts obtained from the sh-PRRT3-
AS1
group,
and
lncRNA
PRRT3-AS1-depleted
tumor
xenografts
manifested
clearly
higher
miR-507
levels
(Fig. 8F). Taken together, these results indicated that In addition, the introduction of the miR-507 inhibitor or
pc-HOXB5 offset the impaired H460 cell migration and
invasion (Fig. 7C) induced by PRRT3-AS1 downregulation. RNA immunoprecipitation assay (D) Levels of the
six candidates in H460 cells after PRRT3-AS1 depletion. Also, the levels of six candidates in A549 cells after PRRT3-AS1 upregulation was also
investigated (N = 3). (E) The WT and MUT binding sites of miR-507 within PRRT3-AS1. (F) Luciferase reporter assay implemented in NSCLC
cells after cotransfection with the miR-507 mimic or miR-NC and WT-PRRT3-AS1 or MUT-PRRT3-AS1 (N = 3). (G) RIP assay to analyze the
interaction between PRRT3-AS1 and miR-507 (N = 3). **p < 0.001. LncRNA PRRT3-AS1 worsens the oncogenicity of NSCLC cells
via targeting the miR-507/HOXB5 axis
We designed rescue experiments to determine whether
lncRNA PRRT3-AS1 performed tumor-promoting actions in
NSCLC cells by controlling the miR-507/HOXB5 axis. First,
we
tested
the
transfection
efficiency
of
the
miR-507 LncRNA PRRT3-AS1 worsens the oncogenicity of NSCLC cells
via targeting the miR-507/HOXB5 axis LncRNA PRRT3-AS1 worsens the oncogenicity of NSCLC cells
via targeting the miR-507/HOXB5 axis LncRNA PRRT3-AS1 worsens the oncogenicity of NSCLC cells
via targeting the miR-507/HOXB5 axis
We designed rescue experiments to determine whether
lncRNA PRRT3-AS1 performed tumor-promoting actions in
NSCLC cells by controlling the miR-507/HOXB5 axis. First,
we
tested
the
transfection
efficiency
of
the
miR-507 inhibitor
in
NSCLC
cells,
verifying
that
miR-507
significantly
decreased
in
miR-507
inhibitor-transfected
cells (Fig. 6A). Meanwhile, the efficiency of pc-HOXB5 in
H460 cells and si-HOXB5 in A549 cells was explored (Fig. 6B). Next, si-PRRT3-AS1 was combined with the miR-507
inhibitor
or
the
pc-HOXB5
to
transfect
H460
cells. inhibitor
in
NSCLC
cells,
verifying
that
miR-507
significantly
decreased
in
miR-507
inhibitor-transfected
cells (Fig. 6A). Meanwhile, the efficiency of pc-HOXB5 in
H460 cells and si-HOXB5 in A549 cells was explored (Fig. 6B). We designed rescue experiments to determine whether
lncRNA PRRT3-AS1 performed tumor-promoting actions in
NSCLC cells by controlling the miR-507/HOXB5 axis. First,
we
tested
the
transfection
efficiency
of
the
miR-507 Next, si-PRRT3-AS1 was combined with the miR-507
inhibitor
or
the
pc-HOXB5
to
transfect
H460
cells. 417 THE ACTIONS OF PRRT3-AS1 IN NSCLC FIGURE 4. Overexpressed miR-507 inhibits the malignant process of NSCLC cells. (A) The efficiency of miR-507 mimic transfection in
NSCLC cells (N = 3). (B, C) Cell proliferation and colony formation of miR-507-overxressed NSCLC cells (N = 3). (D, E) The motility of
miR-507-overexpressed NSCLC cells (N = 3) 100 magnification. **p < 0.001. FIGURE 4. Overexpressed miR-507 inhibits the malignant process of NSCLC cells. (A) The efficiency of miR-507 mimic transfection in
NSCLC cells (N = 3). RNA immunoprecipitation assay (B) Luciferase reporter assay to verify binding interaction between miR-507 and HOXB5 3′-UTR in NSCLC cells (N = 3). (C and D)
HOXB5 levels in miR-507-overxressed NSCLC cells (N = 3). (E–H) PRRT3-AS1-silenced H460 cells were cotransfected with miR-507
inhibitor or NC inhibitor, while miR-507 mimic or miR-NC was transfected into PRRT3-AS1-overexrssed A549 cells. After transfection,
HOXB5 mRNA and protein levels were examined (N = 3). (I) RIP assay to certify the interaction among PRRT3-AS1, miR-507, and
HOXB5 (N = 3). **p < 0.001 and ##p < 0.001. downregulation of PRRT3-AS1 hampered NSCLC tumor
growth in vivo. several studies have highlighted other important roles
played by lncRNAs in regulating complex cellular behaviors
in
NSCLC
[35–37]. Therefore,
finding
novel
cancer-
associated lncRNAs and exploring their regulatory actions
in NSCLC is necessary to identify promising targets for
NSCLC treatment. To date, 33,829 lncRNAs have been
verified in the human genome according to the ENCODE RNA immunoprecipitation assay Moreover, the cell migration and invasion abilities of cells
transfected
with
pc-PRRT3-AS1
significantly
increased, 418 RUI ZHOU et al. downregulation of PRRT3-AS1 hampered NSCLC tumor
several studies have highlighted other important roles
FIGURE 5. HOXB5 is under the control of PRRT3-AS1/miR-507 axis. (A) The WT and MUT binding sites between miR-507 and HOXB5 3′-
UTR. (B) Luciferase reporter assay to verify binding interaction between miR-507 and HOXB5 3′-UTR in NSCLC cells (N = 3). (C and D)
HOXB5 levels in miR-507-overxressed NSCLC cells (N = 3). (E–H) PRRT3-AS1-silenced H460 cells were cotransfected with miR-507
inhibitor or NC inhibitor, while miR-507 mimic or miR-NC was transfected into PRRT3-AS1-overexrssed A549 cells. After transfection,
HOXB5 mRNA and protein levels were examined (N = 3). (I) RIP assay to certify the interaction among PRRT3-AS1, miR-507, and
HOXB5 (N = 3). **p < 0.001 and ##p < 0.001. FIGURE 5. HOXB5 is under the control of PRRT3-AS1/miR-507 axis. (A) The WT and MUT binding sites between miR-507 and HOXB5 3′-
UTR. (B) Luciferase reporter assay to verify binding interaction between miR-507 and HOXB5 3′-UTR in NSCLC cells (N = 3). (C and D)
HOXB5 levels in miR-507-overxressed NSCLC cells (N = 3). (E–H) PRRT3-AS1-silenced H460 cells were cotransfected with miR-507
inhibitor or NC inhibitor, while miR-507 mimic or miR-NC was transfected into PRRT3-AS1-overexrssed A549 cells. After transfection,
HOXB5 mRNA and protein levels were examined (N = 3). (I) RIP assay to certify the interaction among PRRT3-AS1, miR-507, and
HOXB5 (N = 3). **p < 0.001 and ##p < 0.001. FIGURE 5. HOXB5 is under the control of PRRT3-AS1/miR-507 axis. (A) The WT and MUT binding sites between miR-507 and HOXB5 3′
UTR. (B) Luciferase reporter assay to verify binding interaction between miR-507 and HOXB5 3′-UTR in NSCLC cells (N = 3). (C and D
HOXB5 levels in miR-507-overxressed NSCLC cells (N = 3). (E–H) PRRT3-AS1-silenced H460 cells were cotransfected with miR-507
inhibitor or NC inhibitor, while miR-507 mimic or miR-NC was transfected into PRRT3-AS1-overexrssed A549 cells. After transfection
HOXB5 mRNA and protein levels were examined (N = 3). (I) RIP assay to certify the interaction among PRRT3-AS1, miR-507, and
HOXB5 (N = 3). **p < 0.001 and ##p < 0.001. FIGURE 5. HOXB5 is under the control of PRRT3-AS1/miR-507 axis. (A) The WT and MUT binding sites between miR-507 and HOXB5 3′-
UTR. Discussion Many lncRNAs have been considered as crucial promoters or
inhibitors of NSCLC progression [25], but more recently, 419 THE ACTIONS OF PRRT3-AS1 IN NSCLC database [38]; however, for most of these, the biological role
and working mechanisms are still unknown. Our aim in this
study was to investigate the specific functions of the lncRNA
PRRT3-AS1 in NSCLC and the underlying downstream
proteins and regulate gene expression at the transcriptional
level [40]. In contrast, one of the critical roles of lncRNAs
distributed in the cell cytoplasm is to partake, as ceRNAs, in
the post-transcriptional regulation of gene expression [41]. FIGURE 6. PRRT3-AS1 regulates
NSCLC
cell
proliferation
via
targeting
miR-507/HOXB5. (A)
Inhibition
efficiency
of
miR-507
inhibitor in NSCLC cells (N = 3). (B) The efficiency of pc-HOXB5 in
H460 cells and si-HOXB5 in A549
cells (N = 3). (C) PRRT3-AS1-
silenced
H460
cells
were
cotransfected
with
miR-507
inhibitor or pc-HOXB5 while miR-
507
mimic
or
si-HOXB5
was
introduced
into
PRRT3-AS1-
overexrssed
A549
cells. After
transfection, cell proliferation was
determined via CCK-8 assay (N =
3). *p < 0.01, **p < 0.001, #p < 0.01,
and ##p < 0.001. FIGURE 6. PRRT3-AS1 regulates
NSCLC
cell
proliferation
via
targeting
miR-507/HOXB5. (A)
Inhibition
efficiency
of
miR-507
inhibitor in NSCLC cells (N = 3). (B) The efficiency of pc-HOXB5 in
H460 cells and si-HOXB5 in A549
cells (N = 3). (C) PRRT3-AS1-
silenced
H460
cells
were
cotransfected
with
miR-507
inhibitor or pc-HOXB5 while miR-
507
mimic
or
si-HOXB5
was
introduced
into
PRRT3-AS1-
overexrssed
A549
cells. After
transfection, cell proliferation was
determined via CCK-8 assay (N =
3). *p < 0.01, **p < 0.001, #p < 0.01,
and ##p < 0.001. FIGURE 6. PRRT3-AS1 regulates
NSCLC
cell
proliferation
via
targeting
miR-507/HOXB5. (A)
Inhibition
efficiency
of
miR-507
inhibitor in NSCLC cells (N = 3). (B) The efficiency of pc-HOXB5 in
H460 cells and si-HOXB5 in A549
cells (N = 3). (C) PRRT3-AS1-
silenced
H460
cells
were
cotransfected
with
miR-507
inhibitor or pc-HOXB5 while miR-
507
mimic
or
si-HOXB5
was
introduced
into
PRRT3-AS1-
overexrssed
A549
cells. After
transfection, cell proliferation was
determined via CCK-8 assay (N =
3). *p < 0.01, **p < 0.001, #p < 0.01,
and ##p < 0.001. database [38]; however, for most of these, the biological role
and working mechanisms are still unknown. Our aim in this
study was to investigate the specific functions of the lncRNA
PRRT3-AS1 in NSCLC and the underlying downstream
mechanisms. Discussion proteins and regulate gene expression at the transcriptional
level [40]. In contrast, one of the critical roles of lncRNAs
distributed in the cell cytoplasm is to partake, as ceRNAs, in
the post-transcriptional regulation of gene expression [41]. According to the ceRNA theory, lncRNAs adsorb specific
miRNAs, disabling the interaction of miRNAs with their
target
mRNAs
[41]. Using
two
different
methods,
lncLocator prediction and fluorescence in situ hybridization,
we determined that the subcellular localization of lncRNA
PRRT3-AS1 was primarily in the cytoplasm of NSCLC cells,
offering
a
theoretical
basis
for
lncRNA
PRRT3-AS1
functions as a ceRNA. PRRT3-AS1 is overexpressed in prostate cancer, and the
knockdown
of
PRRT3-AS1
suppresses
cell
viability,
migration, and invasion, while promoting cell apoptosis
[39]. However, the expression pattern, clinical implications,
and functions of PRRT3-AS1 in NSCLC are still unknown. Our RNA expression analysis results revealed that PRRT3-
AS1 was strongly expressed in NSCLC tissues, consistent
with the information about PRRT3-AS1 in the TCGA
database. Loss- and gain-of-function assays to determine
comprehensively
the
biological
functions
of
lncRNA
PRRT3-AS1 in NSCLC progression showed that it played a
pro-oncogenic role in NSCLC; PRRT3-AS1 knockdown
evidently inhibited NSCLC cell growth and motility in vitro,
whereas PRRT3-AS1 overexpression exerted the opposite
effects. These results suggest that PRRT3-AS1 could be
considered as a possible target for NSCLC diagnosis,
prognosis, and management. Bioinformatic analysis of downstream targets of lncRNA
PRRT3-AS1 predicted miR-507 as a possible lncRNA PRRT3-
AS1-sequestered miRNA. Subsequent luciferase reporter and
RIP assays confirmed that lncRNA PRRT3-AS1 acted as a
miR-507 sponge in NSCLC cells. Mechanistic investigation
also identified HOXB5 as a direct target of miR-507 in
NSCLC cells, showing that lncRNA PRRT3-AS1 indirectly
modulated HOXB5 in NSCLC cells by sponging miR-507. Therefore, we hypothesize that PRRT3-AS1, miR-507, and
HOXB5
coexist
in
the
same
RNA-induced
silencing
complex. Overall, lncRNA PRRT3-AS1 acts as a ceRNA to
directly
interact
with
miR-507
and
indirectly
regulate
HOXB5 expression in NSCLC cells, thereby forming the
novel
lncRNA
PRRT3-AS1/miR-507/HOXB5
ceRNA
pathway. Next, we determined the mechanisms underlying the
effect of lncRNA PRRT3-AS1 on malignant properties. The
extensive research on the potential mechanisms of lncRNA
function
has
mostly
been
dependent
on
the
cellular
localization of lncRNAs. Nuclear lncRNAs directly bind to 420 RUI ZHOU et al. We have known that miR-507 is differentially expressed
family, is a direct target of miR-507 in NSCLC. HOXB5
IGURE 7. PRRT3-AS1 promotes NSCLC cell colony formation and motility through controlling miR-507/HOXB5. Discussion (A) The si-PRRT3-AS1
ansfected H460 cells underwent cotransfection with miR-507 inhibitor or pc-HOXB5. Cell colony formation was then examined (N = 3). (B
miR-507 mimic or si-HOXB5 alongside pc-PRRT3-AS1 was cotransfected into A549 cells, and then subjected to colony formation
etermination (N = 3). (C) The si-PRRT3-AS1 together with miR-507 inhibitor or pc-HOXB5 was transfected into H460 cells. Cel
motility was detected (N = 3) 100 magnification. (D) A549 cells were transfected with pc-PRRT3-AS1 alongside miR-507 mimic or si
HOXB5. Cell motility was also measured (N = 3) 100 magnification. **p < 0.001, ##p < 0.001 and *#p < 0.001. We have known that miR-507 is differentially expressed
l h
i
l di
NSCLC [42] H
family, is a direct target of miR-507 in NSCLC. HOXB
l
i
i
l
b
l ti
th
t
t
GURE 7. PRRT3-AS1 promotes NSCLC cell colony formation and motility through controlling miR-507/HOXB5. (A) The si-PRRT3-AS
ansfected H460 cells underwent cotransfection with miR-507 inhibitor or pc-HOXB5. Cell colony formation was then examined (N = 3). (
iR-507 mimic or si-HOXB5 alongside pc-PRRT3-AS1 was cotransfected into A549 cells, and then subjected to colony formatio
termination (N = 3). (C) The si-PRRT3-AS1 together with miR-507 inhibitor or pc-HOXB5 was transfected into H460 cells. C
otility was detected (N = 3) 100 magnification. (D) A549 cells were transfected with pc-PRRT3-AS1 alongside miR-507 mimic or s
OXB5. Cell motility was also measured (N = 3) 100 magnification. **p < 0.001, ##p < 0.001 and *#p < 0.001. FIGURE 7. PRRT3-AS1 promotes NSCLC cell colony formation and motility through controlling miR-507/HOXB5. (A) The si-PRRT3-AS1-
transfected H460 cells underwent cotransfection with miR-507 inhibitor or pc-HOXB5. Cell colony formation was then examined (N = 3). (B)
miR-507 mimic or si-HOXB5 alongside pc-PRRT3-AS1 was cotransfected into A549 cells, and then subjected to colony formation
determination (N = 3). (C) The si-PRRT3-AS1 together with miR-507 inhibitor or pc-HOXB5 was transfected into H460 cells. Cel
motility was detected (N = 3) 100 magnification. (D) A549 cells were transfected with pc-PRRT3-AS1 alongside miR-507 mimic or si-
HOXB5. Cell motility was also measured (N = 3) 100 magnification. **p < 0.001, ##p < 0.001 and *#p < 0.001. FIGURE 7. PRRT3-AS1 promotes NSCLC cell colony formation and motility through controlling miR-507/HOXB5. (A) The si-PRRT3-AS1-
transfected H460 cells underwent cotransfection with miR-507 inhibitor or pc-HOXB5. Cell colony formation was then examined (N = 3). Discussion (B)
miR-507 mimic or si-HOXB5 alongside pc-PRRT3-AS1 was cotransfected into A549 cells, and then subjected to colony formation
determination (N = 3). (C) The si-PRRT3-AS1 together with miR-507 inhibitor or pc-HOXB5 was transfected into H460 cells. Cell
motility was detected (N = 3) 100 magnification. (D) A549 cells were transfected with pc-PRRT3-AS1 alongside miR-507 mimic or si-
HOXB5. Cell motility was also measured (N = 3) 100 magnification. **p < 0.001, ##p < 0.001 and *#p < 0.001. We have known that miR-507 is differentially expressed
in several human cancers, including NSCLC [42]. Here, we
report that miR-507 is downregulated in NSCLC. Our
functional
experiments
further
unveiled
that
miR-507
inhibited NSCLC cell proliferation, migration, and invasion. Mechanistically, HOXB5, a member of the HOX gene family, is a direct target of miR-507 in NSCLC. HOXB5
plays a carcinogenic role by regulating growth, metastasis,
epithelial–mesenchymal transition, and tumorigenesis [43]. Our data supports the notion that HOXB5 is negatively
regulated by miR-507 and positively modulated by lncRNA
PRRT3-AS1 in NSCLC. In fact, our rescue experiments 421 THE ACTIONS OF PRRT3-AS1 IN NSCLC FIGURE 8. PRRT3-AS1 depletion
decreases tumor growth in vivo. (A)
Representative
photographs
of
harvested
tumors. Each
group
contained
four
nude
mice. (B)
Growth curve of tumor xenografts. (C) The comparison of the weight in
the
tumor
xenografts. (D,
E)
PRRT3-AS1 and HOXB5 expression
in tumor xenografts. (F) miR-507
level in tumor xenografts. **p < 0.001. FIGURE 8. PRRT3-AS1 depletion
decreases tumor growth in vivo. (A)
Representative
photographs
of
harvested
tumors. Each
group
contained
four
nude
mice. (B)
Growth curve of tumor xenografts. (C) The comparison of the weight in
the
tumor
xenografts. (D,
E)
PRRT3-AS1 and HOXB5 expression
in tumor xenografts. (F) miR-507
level in tumor xenografts. **p < 0.001. proved that miR-507 downregulation or HOXB5 upregulation
eliminated the cancer-inhibiting effects of si-PRRT3-AS1. Together, our results strongly suggest that the PRRT3-AS1/
miR-507/HOXB5 pathway functions as a promoter of
malignant characteristics in NSCLC. Funding Statement: The authors received no specific funding
for this study. Funding Statement: The authors received no specific funding
for this study. Conflicts of Interest: The authors declare that they have no
conflicts of interest to report regarding the present study. Our study had two limitations. Firstly, we did not explore
the effect of PRRT3-AS1 on metastasis in vivo. Secondly, other
ways may be involved in the mechanisms underlying the
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Anticarcinogenic Effect of Spices Due to Phenolic and Flavonoid Compounds—In Vitro Evaluation on Prostate Cells
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Article Zuzana Lackova 1,2, Hana Buchtelova 1,2, Zaneta Buchtova 1, Borivoj Klejdus 1, Zbynek Heger 1,2,
Martin Brtnicky 2,3, Jindrich Kynicky 2,3, Ondrej Zitka 1,2 and Vojtech Adam 1,2,* 1
Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, Brno CZ-613 00,
Czech Republic; lackova14@seznam.cz (Z.L.); hanabuchtelova@seznam.cz (H.B.);
ZanetaBurianova@email.cz (Z.B.); klejdusb@seznam.cz (B.K.); heger@mendelu.cz (Z.H.);
zitkao@seznam.cz (O.Z.) 1
Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, Brno CZ-613 00,
Czech Republic; lackova14@seznam.cz (Z.L.); hanabuchtelova@seznam.cz (H.B.);
ZanetaBurianova@email.cz (Z.B.); klejdusb@seznam.cz (B.K.); heger@mendelu.cz (Z.H.);
zitkao@seznam.cz (O.Z.)
2 1
Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, Brno CZ-613 00,
Czech Republic; lackova14@seznam.cz (Z.L.); hanabuchtelova@seznam.cz (H.B.);
ZanetaBurianova@email.cz (Z.B.); klejdusb@seznam.cz (B.K.); heger@mendelu.cz (Z.H.);
zitkao@seznam.cz (O.Z.) 2
Central European Institute of Technology, Brno University of Technology, Technicka 3058/10,
Brno CZ-616 00, Czech Republic; martin.brtnicky@mendelu.cz (M.B.); jindrich.kynicky@mendelu.cz (J.K.)
3
Department of Geology and Pedology, Mendel University in Brno, Zemedelska 1, Brno CZ-613 00,
C
h R
bli Brno CZ-616 00, Czech Republic; martin.brtnicky@mendelu.cz (M.B.); jindrich.kynicky@mendelu.cz (J.K.)
3
Department of Geology and Pedology, Mendel University in Brno, Zemedelska 1, Brno CZ-613 00,
Czech Republic 3
Department of Geology and Pedology, Mendel University in Brno, Zemedelska 1, Brno CZ-613 00,
Czech Republic p
*
Correspondence: vojtech.adam@mendelu.cz; Tel.: +420-5-4513-3350; Fax: +420-5-4521-2044 Received: 2 September 2017; Accepted: 24 September 2017; Published: 28 September 2017 ceived: 2 September 2017; Accepted: 24 September 2017; Published: 28 September 2017 Abstract: This study shows the effects of spices, and their phenolic and flavonoid compounds,
on prostate cell lines (PNT1A, 22RV1 and PC3). The results of an MTT assay on extracts from eight
spices revealed the strongest inhibitory effects were from black pepper and caraway seed extracts. The strongest inhibitory effect on prostatic cells was observed after the application of extracts of spices
in concentration of 12.5 mg·mL−1. An LC/MS analysis identified that the most abundant phenolic
and flavonoid compounds in black pepper are 3,4-dihydroxybenzaldehyde and naringenin chalcone,
while the most abundant phenolic and flavonoid compounds in caraway seeds are neochlorogenic
acid and apigenin. Using an MTT assay for the phenolic and flavonoid compounds from spices,
we identified the IC50 value of ~1 mmol·L−1 PNT1A. The scratch test demonstrated that the most
potent inhibitory effect on PNT1A, 22RV1 and PC3 cells is from the naringenin chalcone contained in
black pepper. Article From the spectrum of compounds assessed, the naringenin chalcone contained in black
pepper was identified as the most potent inhibitor of the growth of prostate cells. Keywords: apigenin; clonogenic assay; 3,4-dihydroxybenzaldehyde; MTT assay; naringenin chalcone;
neochlorogenic acid; prostate cancer; scratch test; spices molecules molecules molecules Molecules 2017, 22, 1626; doi:10.3390/molecules22101626 molecules molecules 1. Introduction At present, the influence of dietary habits and food quality, in terms of substance content, on the
development of cancer is being increasingly studied [1]. There are a number of studies pointing to
the positive effects of fruit and vegetables, prevalently due to compounds in their contents, such
as phenols, flavonoids, vitamins and mineral substances [2,3]. On the other hand, spices have been
involved in the human diet for plenty of years, and used as essential additional ingredients for much
cooking, and as seasoning. Could they be considered to be one of the major sources of anticarcinogenic
compounds because they contain antioxidants and other biologically active molecules? Thus, it is not
surprising that numerous species have been studied in the context of their effects on human health. Antibacterial effects are demonstrated for sweet peppers, peppers and caraway seeds [4–6]. Marjoram,
cinnamon and caraway seeds are also reported to have anti-inflammatory effects [6–8]. Cinnamon and
caraway seeds are shown to have anticarcinogenic effects [6,7]. Thyme, pepper and oregano are used Molecules 2017, 22, 1626; doi:10.3390/molecules22101626 www.mdpi.com/journal/molecules Molecules 2017, 22, 1626 2 of 13 as antifungals [5,9,10]. The anticarcinogenic effects of spices are attributed to them containing phenolic
compounds [11]. ungals [5,9,10]. The anticarcinogenic effects of spices are attributed to them containing phenolic
unds [11]. Therefore, we focused on the effects of the most prevalent polyphenols on prostate cells, with
regards to the fact that the urogenital tract is the most exposed tissue upon which the effect of
the chemical substances present in fluids passing through it should have the greatest impact [12]. To date, a number of studies show the anticarcinogenic effects of piperine [13], capsaicin [14] and
curcumin [15–17] on prostate cancer cells. Of the eight kinds of spice tested in this work, studies on
the anticarcinogenic effect on prostate cancer cells have been performed on black pepper only [13,18]. For oregano, marjoram, anise, thyme, sweet pepper, cinnamon and caraway seeds, no studies have yet
been published on their effects on prostate cells [7,11,19–24]. For our experiments, we directed our attention to phenolic (neochlorogenic acid and
3,4-dihydroxybenzaldehyde) and flavonoid (apigenin and naringenin chalcone) compounds. Apigenin
is a flavonoid compound that is abundantly present in fruits and vegetables. 1. Introduction Apigenin reduces low
density lipoprotein and cholesterol levels; stimulates PPAR-γ; augments the endogenous antioxidants;
regulates the death-signaling of reactive oxygen species [25]; regulates inflammatory mediators,
including IL-1β and TNF-α [26]; inhibits tumor growth and angiogenesis induced by different cancer
cells; and has antiproliferative and antitumor properties in the colon, pancreas and prostate cancer
cells [27]. In addition, it was revealed that apigenin can disrupt cancer cell motility by suppressing
the focal adhesion kinase/Src signaling [28], which is a key step in the development of tumors and,
ultimately, metastasis. Naringenin chalcone is flavonoid compound and its inhibitory effects are
demonstrated in U87MG cells [29]. Neochlorogenic acid is a phenolic acid, which exhibits antioxidant
and chemopreventive activity in colon and breast cancer, and in U937 leukemia cells; it protects cells
from oxidative stress by scavenging reactive oxidative stress (ROS), and suppressing the proliferation of
breast and colon cancer cells [30]. The study [31] showed strong inhibition of growth on a breast cancer
cell line (MDA-MB-435) and low toxic effect on a normal breast cell line (MCF-10A). The phenolic
compound 3,4-dihydroxybenzaldehyde has antioxidant and anti-inflammatory effects: it decreases the
proliferation of human breast cancer, and induces apoptosis with inhibition of casein kinase II activity
in leukemia cells [32]. However, the potential anticancer mechanisms of phenolic (neochlorogenic acid
and 3,4-dihydroxybenzaldehyde) and flavonoid (apigenin and naringenin chalcone) compounds have
not been elucidated, and the effects of prostate cancer cells have not been tested so far. The aim of this experiment was to determine the effect of eight selected spice species on three
prostate cell lines. The profile representation of the phenolic and flavonoid compounds of the
selected spices was performed by liquid chromatography/mass spectrometry (LC/MS). The most
representative phenolic and flavonoid compounds were used for the rest of the final evaluation using
an MTT assay, a scratch test and a clonogenic assay. 2. Results and Discussion 2.1. Cell-Line Proliferative Activity Testing (MTT Assay) for Extract from Eight Spices 2.1. Cell-Line Proliferative Activity Testing (MTT Assay) for Extract from Eight Spices An MTT assay was used to evaluate the cells’ metabolic activity and indicate the cytotoxicity of
the tested compounds. Figure 1 shows the results of the effects of the extracts from eight kinds of spice. The results indicate that the best and most stable inhibitory effects were due to treatment with extracts
from caraway seeds and black pepper. The strongest inhibitory effect on prostatic cells was observed
when we applied a concentration of 12.5 mg·mL−1 to all cell lines used. If we take a look at the results in greater detail, those of the extracts from anise, thyme, marjoram,
oregano and sweet pepper were very similar. A similar effect to those of other extracts for all cell
lines used from an extract of cinnamon is shown in Figure 1A. However, difference was observed
in the extract from cinnamon (Figure 1B,C), where it was found that the extract from cinnamon was
supportive of cell growth here. The inhibitory effect of cinnamon in 29 types of human cancer cells
was previously confirmed in vitro, where the vast majority of the antitumorigenic effects of cinnamon 3 of 13 Molecules 2017, 22, 1626 extracts could be attributed to cinnamaldehydes [33], the main component of the essential oil. Further,
it was described that biologically active substances in cinnamon also cause cell inhibition in prostate
cancer cells [33,34]. Other studies describe the inhibitory effect of the selected compound or oil from
cinnamon [35–38], but our study evaluated the effect of cinnamon extract, not the selected components
contained in cinnamon, which may explain the deviations from the available literature. The reason
for the different effect of cinnamon on prostate cell lines may be that in the aforementioned literature,
only the selected cinnamon content has been evaluated, whereas in our study we used a whole-spice
extract containing a wide range of substances. component of the essential oil. Further, it was described that biologically active substances in
cinnamon also cause cell inhibition in prostate cancer cells [33,34]. Other studies describe the
inhibitory effect of the selected compound or oil from cinnamon [35–38], but our study evaluated the
effect of cinnamon extract, not the selected components contained in cinnamon, which may explain
the deviations from the available literature. 2.2. Profiling of the Extracts of the Tested Spices Using LC/MS
2.2. Profiling of the Extracts of the Tested Spices Using LC/MS Subsequently, an LC/MS analysis was performed to determine which phenolic and flavonoid
compounds are contained in selected spices. Determination of the presence and content of phenolic
and flavonoid compounds was done using high-performance liquid chromatography with mass
detection. The results have been recalculated per 1 g of spice. Subsequently, an LC/MS analysis was performed to determine which phenolic and flavonoid
compounds are contained in selected spices. Determination of the presence and content of phenolic and
flavonoid compounds was done using high-performance liquid chromatography with mass detection. The results have been recalculated per 1 g of spice. p
g
p
For the extract from caraway seeds (Figure 2A), the most commonly found phenolic compound
was neochlorogenic acid, for which the concentration reached 110 ± 5 μg·g−1, with extraction using 80%
methanol. The other phenolic compounds determined did not exceed a concentration of 10 μg·g−1. Of the flavonoid compounds observed, the highest occurrences recorded in the extract from caraway
seeds were for apigenin and naringenin chalcone. The highest concentration of naringenin chalcone
had a value of 13 ± 1 μg·g−1, with extraction using 100% methanol. A very interesting concentration
was found for apigenin when using extraction with 80% methanol, which was 16 ± 1 μg·g−1,
compared to other types of extraction used. The other flavonoid compounds revealed did not have a
concentration greater than 2 μg·g−1. Figure 2B describes the preparation of samples for the LC/MS
analysis, and more experimental details can be found in Section 3.5. For the extract from caraway seeds (Figure 2A), the most commonly found phenolic compound
was neochlorogenic acid, for which the concentration reached 110 ± 5 µg·g−1, with extraction using
80% methanol. The other phenolic compounds determined did not exceed a concentration of 10
µg·g−1. Of the flavonoid compounds observed, the highest occurrences recorded in the extract from
caraway seeds were for apigenin and naringenin chalcone. The highest concentration of naringenin
chalcone had a value of 13 ± 1 µg·g−1, with extraction using 100% methanol. A very interesting
concentration was found for apigenin when using extraction with 80% methanol, which was 16 ± 1
µg·g−1, compared to other types of extraction used. The other flavonoid compounds revealed did not
have a concentration greater than 2 µg·g−1. Figure 2B describes the preparation of samples for the
LC/MS analysis, and more experimental details can be found in Section 3.5. 2.1. Cell-Line Proliferative Activity Testing (MTT Assay) for Extract from Eight Spices The reason for the different effect of cinnamon on prostate
cell lines may be that in the aforementioned literature, only the selected cinnamon content has been
evaluated, whereas in our study we used a whole-spice extract containing a wide range of substances. Figure 1. Results of the MTT assay for spice extracts: (A) for PNT1A cells; (B) for 22RV1 cells;
and (C) for PC3 cells. Figure 1. Results of the MTT assay for spice extracts: (A) for PNT1A cells; (B) for 22RV1 cells; and (C)
for PC3 cells. Figure 1. Results of the MTT assay for spice extracts: (A) for PNT1A cells; (B) for 22RV1 cells;
and (C) for PC3 cells. Figure 1. Results of the MTT assay for spice extracts: (A) for PNT1A cells; (B) for 22RV1 cells; and (C)
for PC3 cells. 2.2. Profiling of the Extracts of the Tested Spices Using LC/MS
2.2. Profiling of the Extracts of the Tested Spices Using LC/MS y
p
The
predominant
phenolic
compound
in
the
extract
from
black
pepper
was
3,4-dihydroxybenzaldehyde. As shown in Figure 3A, the highest concentration was measured using
80% methanol, with the concentration being 55 ± 5 μg·g−1. For the other phenolic compounds
determined, the concentration was not higher than 16 μg·g−1. Contents of protocatechuic acid, caffeic
acid, ferulic acid and vanillic acid were also demonstrated in the extract from black pepper in the
The
predominant
phenolic
compound
in
the
extract
from
black
pepper
was
3,4-dihydroxybenzaldehyde. As shown in Figure 3A, the highest concentration was measured
using 80% methanol, with the concentration being 55 ± 5 µg·g−1. For the other phenolic compounds
determined, the concentration was not higher than 16 µg·g−1. Contents of protocatechuic acid, caffeic acid,
ferulic acid and vanillic acid were also demonstrated in the extract from black pepper in the study [39], 4 of 13 Molecules 2017, 22, 1626 despite the different preparation of the sample. The black pepper extract has the highest content of
naringenin chalcone compared to other flavonoid compounds. The highest concentration of naringenin
chalcone was 13 ± 1 µg·g−1, and was measured in the extract obtained using 80% methanol. Comparable
results were obtained in the case of using 100% methanol. Using extraction with 60% methanol, the lowest
concentration of naringenin chalcone was recorded, that is, 5 ± 1 µg·g−1. The results showed that there
was less than half the amount of release when using 60% methanol, compared to extractions using 80%
and 100% methanol. No significant differences were observed for other flavonoid compounds using
extraction with 60%, 80% and 100% methanol. The average concentration of these compounds was 0.8
± 0.1 µg·g−1. In a study by authors Chandra et al. [39], the presence of apigenin and quercetin in black
pepper was demonstrated. However, other flavonoid compounds were not investigated here. Figure 3B,D
gives a chromatogram of 3,4-dihydroxybenzaldehyde and naringenin chalcone. Figure 3C,E shows a
fragmentation spectrum for 3,4-dihydroxybenzaldehyde and naringenin chalcone. Molecules 2017, 22, 1626
4 of 12
methanol. Comparable results were obtained in the case of using 100% methanol. Using extraction
with 60% methanol, the lowest concentration of naringenin chalcone was recorded, that is, 5 ± 1 μg·g−1. The results showed that there was less than half the amount of release when using 60% methanol,
compared to extractions using 80% and 100% methanol. 2.2. Profiling of the Extracts of the Tested Spices Using LC/MS
2.2. Profiling of the Extracts of the Tested Spices Using LC/MS No significant differences were observed for
other flavonoid compounds using extraction with 60%, 80% and 100% methanol. The average
concentration of these compounds was 0.8 ± 0.1 μg·g−1. In a study by authors Chandra et al. [39], the
presence of apigenin and quercetin in black pepper was demonstrated. However, other flavonoid
compounds
were
not
investigated
here. Figure
3B,D
gives
a
chromatogram
of
3,4-dihydroxybenzaldehyde and naringenin chalcone. Figure 3C,E shows a fragmentation spectrum
for 3,4-dihydroxybenzaldehyde and naringenin chalcone. Molecules 2017, 22, 1626
4 of 12
methanol. Comparable results were obtained in the case of using 100% methanol. Using extraction
with 60% methanol, the lowest concentration of naringenin chalcone was recorded, that is, 5 ± 1 μg·g−1. The results showed that there was less than half the amount of release when using 60% methanol,
compared to extractions using 80% and 100% methanol. No significant differences were observed for
other flavonoid compounds using extraction with 60%, 80% and 100% methanol. The average
concentration of these compounds was 0.8 ± 0.1 μg·g−1. In a study by authors Chandra et al. [39], the
presence of apigenin and quercetin in black pepper was demonstrated. However, other flavonoid
compounds
were
not
investigated
here. Figure
3B,D
gives
a
chromatogram
of
3,4-dihydroxybenzaldehyde and naringenin chalcone. Figure 3C,E shows a fragmentation spectrum Figure 2. (A) Determination of the concentration of selected phenolic and flavonoid compounds in
the extract from caraway seeds; (B) scheme for preparing the sample for LC/MS analysis. Figure 2. (A) Determination of the concentration of selected phenolic and flavonoid compounds in the
extract from caraway seeds; (B) scheme for preparing the sample for LC/MS analysis. for 3,4-dihydroxybenzaldehyde and naringenin chalcone. Figure 2. (A) Determination of the concentration of selected phenolic and flavonoid compounds in
the extract from caraway seeds; (B) scheme for preparing the sample for LC/MS analysis Figure 2. (A) Determination of the concentration of selected phenolic and flavonoid compounds in
the extract from caraway seeds; (B) scheme for preparing the sample for LC/MS analysis. Figure 2. (A) Determination of the concentration of selected phenolic and flavonoid compounds in the
extract from caraway seeds; (B) scheme for preparing the sample for LC/MS analysis. Figure 2. (A) Determination of the concentration of selected phenolic and flavonoid compounds in Figure 3. 2.2. Profiling of the Extracts of the Tested Spices Using LC/MS
2.2. Profiling of the Extracts of the Tested Spices Using LC/MS 5 of 13
of 12 Molecules 2017, 22, 1626
Molecules 2017 22 1626 2.3. Cell-Line Proliferative Activity Testing (MTT Assay) for Phenolic and Flavonoid Compounds from Spices
2.3. Cell-Line Proliferative Activity Testing (MTT Assay) for Phenolic and Flavonoid Compounds from Spices 2.3. Cell-Line Proliferative Activity Testing (MTT Assay) for Phenolic and Flavonoid Compounds from Spices
2.3. Cell-Line Proliferative Activity Testing (MTT Assay) for Phenolic and Flavonoid Compounds from Spices In the following experiment, we selected caraway seeds and black pepper only, for which we
evaluated the presence of selected phenolic and flavonoid compounds (Figure 4). The aim of the MTT
assay was to determine the half-maximal inhibitory concentration (IC50). According to the obtained
results, an IC50 value of ~1 mmol·L−1 was determined for all cell lines used. The IC50 value is too
high compared to other studies. However, the aim of this study is not to develop an anticancer drug,
but to supplement it and to achieve a better availability of the drug to the organism. The IC50 value
is 1 mmol·L−1 because the substances do not have such toxicity. Studies [40–44] also confirm that
flavonoids can only be used to treat cancer as an adjunct to an anticancer drug, not as an anticancer
drug alone. Flavonoids thus should serve as a low-dose prevention, not as an acute drug. The identified
IC50 concentration was then used in further experiments. In PNT1A (Figure 4A), 22RV1 (Figure 4B)
and PC3 (Figure 4C) cells, the results were comparable, except for lesser variations in neochlorogenic
acid. The most potent inhibitory effect was for the naringenin chalcone for all cell lines used. These
results were confirmed in the scratch test, which is described in the results and discussion in Section 2.4. If we compare the clonogenic assay (Table S1, Supplementary Materials) and the MTT assay (Figure 4)
for the selected phenolic and flavonoid compounds, we have compliance for the naringenin chalcone
and neochlorogenic acid for PC3 cells, and apigenin for PNT1A cells. Studies [27,28] also demonstrate
the inhibitory effect of apigenin on prostate cancer cell lines and other cancer cell lines. The inhibitory
effect is also demonstrated in naringenin chalcone [29], but not in prostate cancer cell lines. A decreased
proliferation of cells is demonstrated when using 3,4-dihydroxybenzaldehyde [32], but not in prostate
cancer cell lines. 2.2. Profiling of the Extracts of the Tested Spices Using LC/MS
2.2. Profiling of the Extracts of the Tested Spices Using LC/MS Neochlorogenic acid exhibits chemopreventive activity in colon cancer, and in breast
cancer [30], but not in prostate cancer cell lines, where this study is the first one to show these effects. In the following experiment, we selected caraway seeds and black pepper only, for which we
evaluated the presence of selected phenolic and flavonoid compounds (Figure 4). The aim of the
MTT assay was to determine the half-maximal inhibitory concentration (IC50). According to the
obtained results, an IC50 value of ~1 mmol·L−1 was determined for all cell lines used. The IC50 value is
too high compared to other studies. However, the aim of this study is not to develop an anticancer
drug, but to supplement it and to achieve a better availability of the drug to the organism. The IC50
value is 1 mmol·L−1 because the substances do not have such toxicity. Studies [40–44] also confirm
that flavonoids can only be used to treat cancer as an adjunct to an anticancer drug, not as an
anticancer drug alone. Flavonoids thus should serve as a low-dose prevention, not as an acute drug. The identified IC50 concentration was then used in further experiments. In PNT1A (Figure 4A),
22RV1 (Figure 4B) and PC3 (Figure 4C) cells, the results were comparable, except for lesser
variations in neochlorogenic acid. The most potent inhibitory effect was for the naringenin chalcone
for all cell lines used. These results were confirmed in the scratch test, which is described in the
results and discussion in Section 2.4. If we compare the clonogenic assay (Table S1, Supplementary
Materials) and the MTT assay (Figure 4) for the selected phenolic and flavonoid compounds, we
have compliance for the naringenin chalcone and neochlorogenic acid for PC3 cells, and apigenin for
PNT1A cells. Studies [27,28] also demonstrate the inhibitory effect of apigenin on prostate cancer cell
lines and other cancer cell lines. The inhibitory effect is also demonstrated in naringenin chalcone [29],
but not in prostate cancer cell lines. A decreased proliferation of cells is demonstrated when using
3,4-dihydroxybenzaldehyde [32], but not in prostate cancer cell lines. Neochlorogenic acid exhibits
chemopreventive activity in colon cancer, and in breast cancer [30], but not in prostate cancer cell
lines, where this study is the first one to show these effects. Figure 4. Results of the MTT assay for selected phenolic and flavonoid compounds: (A) for PNT1A
cells; (B) for 22RV1 cells; and (C) for PC3 cells. 2.2. Profiling of the Extracts of the Tested Spices Using LC/MS
2.2. Profiling of the Extracts of the Tested Spices Using LC/MS Figure 4. Results of the MTT assay for selected phenolic and flavonoid compounds: (A) for PNT1A
cells; (B) for 22RV1 cells; and (C) for PC3 cells. Figure 4. Results of the MTT assay for selected phenolic and flavonoid compounds: (A) for PNT1A
cells; (B) for 22RV1 cells; and (C) for PC3 cells. Figure 4. Results of the MTT assay for selected phenolic and flavonoid compounds: (A) for PNT1A
cells; (B) for 22RV1 cells; and (C) for PC3 cells. 2.2. Profiling of the Extracts of the Tested Spices Using LC/MS
2.2. Profiling of the Extracts of the Tested Spices Using LC/MS Extract from black pepper: (A) determination of concentration of selected phenolic and
flavonoid
compounds;
(B)
Multiple
reaction
monitoring
(MRM)
chromatograms
of
3,4-dihydroxybenzaldehyde; (C) fragmentation spectrum for 3,4-dihydroxybenzaldehyde (108.0 is
the product ion and 173.1 is the precursor ion); (D) Multiple reaction monitoring (MRM)
chromatograms for naringenin chalcone; and (E) fragmentation spectrum for naringenin chalcone
(151.0 is the product ion and 271.0 is the precursor ion). Figure 3. Extract from black pepper: (A) determination of concentration of selected phenolic and
flavonoid
compounds;
(B)
Multiple
reaction
monitoring
(MRM)
chromatograms
of
3,4-dihydroxybenzaldehyde; (C) fragmentation spectrum for 3,4-dihydroxybenzaldehyde (108.0 is
the product ion and 173.1 is the precursor ion); (D) Multiple reaction monitoring (MRM)
chromatograms for naringenin chalcone; and (E) fragmentation spectrum for naringenin chalcone
(151.0 is the product ion and 271.0 is the precursor ion). Figure 3. Extract from black pepper: (A) determination of concentration of selected phenolic and flavonoid
compounds; (B) Multiple reaction monitoring (MRM) chromatograms of 3,4-dihydroxybenzaldehyde;
(C) fragmentation spectrum for 3,4-dihydroxybenzaldehyde (108.0 is the product ion and 173.1 is the
precursor ion); (D) Multiple reaction monitoring (MRM) chromatograms for naringenin chalcone; and (E)
fragmentation spectrum for naringenin chalcone (151.0 is the product ion and 271.0 is the precursor ion). Figure 3. Extract from black pepper: (A) determination of concentration of selected phenolic and flavonoid
compounds;
(B)
Multiple
reaction
monitoring
(MRM)
chromatograms
of
3,4-dihydroxybenzaldehyde; (C) fragmentation spectrum for 3,4-dihydroxybenzaldehyde (108.0 is
the product ion and 173.1 is the precursor ion); (D) Multiple reaction monitoring (MRM)
chromatograms for naringenin chalcone; and (E) fragmentation spectrum for naringenin chalcone
(151.0 is the product ion and 271.0 is the precursor ion). Figure 3. Extract from black pepper: (A) determination of concentration of selected phenolic and
flavonoid
compounds;
(B)
Multiple
reaction
monitoring
(MRM)
chromatograms
of
3,4-dihydroxybenzaldehyde; (C) fragmentation spectrum for 3,4-dihydroxybenzaldehyde (108.0 is
the product ion and 173.1 is the precursor ion); (D) Multiple reaction monitoring (MRM)
chromatograms for naringenin chalcone; and (E) fragmentation spectrum for naringenin chalcone
(151.0 is the product ion and 271.0 is the precursor ion). Figure 3. Extract from black pepper: (A) determination of concentration of selected phenolic and flavonoid
compounds; (B) Multiple reaction monitoring (MRM) chromatograms of 3,4-dihydroxybenzaldehyde;
(C) fragmentation spectrum for 3,4-dihydroxybenzaldehyde (108.0 is the product ion and 173.1 is the
precursor ion); (D) Multiple reaction monitoring (MRM) chromatograms for naringenin chalcone; and (E)
fragmentation spectrum for naringenin chalcone (151.0 is the product ion and 271.0 is the precursor ion). 2.4. Wound-Healing Assay (Scratch Test)
2.4. Wound-Healing Assay (Scratch Test) The scratch test is one of the most widely used, fastest and most effective methods for obtaining
the critical loads that are related to the adhesion properties of a coating. A scratch test assesses how
power is used in inhibitory compounds for a specific cell. Cells PNT1A, 22RV1 and PC3 showed the
strongest inhibitory effects with naringenin chalcone, which had the smallest cell growth over time
compared to the control at a time of 0 h (Figure 5A–C and Tables 1–3, respectively). The
second-strongest inhibitory effect was observed with apigenin in PNT1A, 22RV1 and PC3 cells
compared to the control at a time of 0 h (Tables 1–3, respectively). The results for the
3,4-dihydroxybenzaldehyde and neochlorogenic acid in PNT1A, 22RV1 and PC3 cells were almost
The scratch test is one of the most widely used, fastest and most effective methods for obtaining the
critical loads that are related to the adhesion properties of a coating. A scratch test assesses how power
is used in inhibitory compounds for a specific cell. Cells PNT1A, 22RV1 and PC3 showed the strongest
inhibitory effects with naringenin chalcone, which had the smallest cell growth over time compared to
the control at a time of 0 h (Figure 5A–C and Tables 1–3, respectively). The second-strongest inhibitory
effect was observed with apigenin in PNT1A, 22RV1 and PC3 cells compared to the control at a time of
0 h (Tables 1–3, respectively). The results for the 3,4-dihydroxybenzaldehyde and neochlorogenic acid
in PNT1A, 22RV1 and PC3 cells were almost comparable to the control at a time of 0 h (Tables 1–3, 6 of 13
of 12 Molecules 2017, 22, 1626
Molecules 2017, 22, 1626 respectively). The results of the scratch test corroborate the MTT assay results (Figure 4). The
microscopy results for other selected phenolic and flavonoid compounds are shown in Figures S1–S3. p
(
p
y)
corroborate the MTT assay results (Figure 4). The microscopy results for other selected phenolic and
flavonoid compounds are shown in Figures S1–S3. Figure 5. The effect of naringenin chalcone on all three cell lines in the scratch test: (A) for PNT1A
cells; (B) for 22RV1 cells; and (C) for PC3 cells. Figure 5. The effect of naringenin chalcone on all three cell lines in the scratch test: (A) for PNT1A cells;
(B) for 22RV1 cells; and (C) for PC3 cells. Figure 5. 2.4. Wound-Healing Assay (Scratch Test)
2.4. Wound-Healing Assay (Scratch Test) The effect of naringenin chalcone on all three cell lines in the scratch test: (A) for PNT1A
cells; (B) for 22RV1 cells; and (C) for PC3 cells
Figure 5. The effect of naringenin chalcone on all three cell lines in the scratch test: (A) for PNT1A cells;
(B) for 22RV1 cells; and (C) for PC3 cells. Table 1. Results of the scratch test for PNT1A cells. Table 1. Results of the scratch test for PNT1A cells. Table 1. Results of the scratch test for PNT1A cells. Compounds
0 h
6 h
12 h
24 h
Measured
Value *
%
Measured
Value *
%
Measured
Value *
%
Measured
Value *
%
Control
518.12 ± 6.58
100
443.24 ± 6.52
86
377.50 ± 2.13
73
80.39 ± 20.27
16
3,4-Dihydroxybenzaldehyde
505.10 ± 5.10
100
441.11 ± 6.82
97
398.04 ± 7.94
79
147.72 ± 2.92
29
Naringenin chalcone
492.72 ± 5.38
100
446.06 ± 8.28
91
431.77 ± 7.32
88
269.33 ± 3.78
55
Apigenin
490.69 ± 3.78
100
397.23 ± 6.59
81
360.21 ± 6.22
73
176.18 ± 9.94
36
Neochlorogenic acid
519.38 ± 7.00
100
436.78 ± 7.17
84
303.23 ± 6.49
58
71.92 ± 2.37
14
* The average of the five measurements. Table 1. Results of the scratch test for PNT1A cells. Compounds
0 h
6 h
12 h
24 h
Measured
Value *
%
Measured
Value *
%
Measured
Value *
%
Measured
Value *
%
Control
518.12 ± 6.58
100
443.24 ± 6.52
86
377.50 ± 2.13
73
80.39 ± 20.27
16
3,4-Dihydroxybenzaldehyde
505.10 ± 5.10
100
441.11 ± 6.82
97
398.04 ± 7.94
79
147.72 ± 2.92
29
Naringenin chalcone
492.72 ± 5.38
100
446.06 ± 8.28
91
431.77 ± 7.32
88
269.33 ± 3.78
55
Apigenin
490.69 ± 3.78
100
397.23 ± 6.59
81
360.21 ± 6.22
73
176.18 ± 9.94
36
Neochlorogenic acid
519.38 ± 7.00
100
436.78 ± 7.17
84
303.23 ± 6.49
58
71.92 ± 2.37
14
* The average of the five measurements. 2.4. Wound-Healing Assay (Scratch Test)
2.4. Wound-Healing Assay (Scratch Test) Compounds
0 h
6 h
12 h
24 h
Measured
Value *
%
Measured
Value *
%
Measured
Value *
%
Measured
Value *
%
Control
474.72 ± 7.77
100
420.75 ± 9.88
89
371.84 ± 11.27
78
140.11 ± 10.24
30
3,4-Dihydroxybenzaldehyde
406.92 ± 12.63
100
349.11 ± 13.20
86
304.66 ± 8.34
75
152.38 ± 11.25
37
Naringenin chalcone
461.85 ± 9.27
100
436.98 ± 10.68
95
411.39 ± 8.32
89
398.17 ± 11.82
86
Apigenin
480.67 ± 5.35
100
415.30 ± 6.16
86
368.72 ± 8.68
77
300.77 ± 8.78
63
Neochlorogenic acid
365.15 ± 4.35
100
318.30 ± 7.54
87
300.08 ± 6.22
82
139.02 ± 15.20
38
* The average of the five measurements. Table 2. Results of the scratch test for 22RV1 cells. Compounds
0 h
6 h
12 h
24 h
Measured
Value *
%
Measured
Value *
%
Measured
Value *
%
Measured
Value *
%
Control
474.72 ± 7.77
100
420.75 ± 9.88
89
371.84 ± 11.27
78
140.11 ± 10.24
30
3,4-Dihydroxybenzaldehyde
406.92 ± 12.63
100
349.11 ± 13.20
86
304.66 ± 8.34
75
152.38 ± 11.25
37
Naringenin chalcone
461.85 ± 9.27
100
436.98 ± 10.68
95
411.39 ± 8.32
89
398.17 ± 11.82
86
Apigenin
480.67 ± 5.35
100
415.30 ± 6.16
86
368.72 ± 8.68
77
300.77 ± 8.78
63
Neochlorogenic acid
365.15 ± 4.35
100
318.30 ± 7.54
87
300.08 ± 6.22
82
139.02 ± 15.20
38
* The average of the five measurements. 0 h
6 h
12 h
Table 2. Results of the scratch test for 22RV1 cells. 7 of 13 Molecules 2017, 22, 1626 Table 3. Results of the scratch test for PC3 cells. Table 3. Results of the scratch test for PC3 cells. 2.4. Wound-Healing Assay (Scratch Test)
2.4. Wound-Healing Assay (Scratch Test) 0 h
6 h
12 h
24 h
Compounds
Measured
Value *
%
Measured
Value *
%
Measured
Value *
%
Measured
Value *
%
Control
494.87 ± 7.25
100
436.01 ± 2.03
88
369.92 ± 7.54
75
136.69 ± 22.52
28
3,4-Dihydroxybenzaldehyde
477.30 ± 3.73
100
408.49 ± 2.33
86
373.09 ± 3.78
78
102.62 ± 8.73
22
Naringenin chalcone
444.85 ± 7.66
100
410.23 ± 7.47
92
398.44 ± 3.23
90
360.25 ± 6.42
81
Apigenin
398.55 ± 8.46
100
370.29 ± 6.75
93
341.14 ± 8.87
86
270.30 ± 9.43
68
Neochlorogenic acid
448.47 ± 6.80
100
393.60 ± 8.87
88
356.98 ± 8.52
80
136.54 ± 10.86
30
* The average of the five measurements. Naringenin chalcone is a flavonoid compound that engages in various plant defense roles, due to
its antibacterial, antifungal and anti-inflammatory activities and cytotoxicity in carcinoma cells [45–47]. Flavonoids occur abundantly in fruits, vegetables, medicinal plants and beverages [43,48]. Flavonoids
are present as aglycones, and glycosylated and methylated derivatives. Glycosylated flavonoids
are very rich in the human diet. After eating foods containing glycosylated flavonoids, the body
hydrolyzes these compounds in the gastrointestinal tract, liberating the aglycones, which are further
extensively metabolized by glucuronidation, sulfation or methylation in the small intestine and liver. Flavonoids have poor oral bioavailability, the metabolites predominate in systemic circulation, while
the plasma levels of parent flavonoids are very low (below 2 µM or nM range) [40,41,49]. However,
the data summarized in the studies [42,44] strongly support the view that flavonoids are promising
candidates for the enhancement of oral drug bioavailability and chemoprevention. This is thought
to be mainly due to their antioxidant effects, anti-inflammatory properties and ability to modulate
metabolism of carcinogens by inhibition of distinct phase 1 metabolic enzymes and activation of phase 2
detoxifying enzymes. Researchers have further demonstrated that methylation of the flavonoids at their
free hydroxyl groups or carbon atoms dramatically increases their metabolic stability and enhances
membrane transport, leading to facilitated absorption and highly increased oral bioavailability [47]. membrane transport, leading to facilitated absorption and highly increased oral bioavailability [47]. The mechanism of anticancer action of naringenin chalcone against prostate cancer cells lies
in its capability to scavenge free radicals [50], resulting in effects on cell proliferation, inhibition of
angiogenesis, inhibition of subcellular signaling and stimulation of DNA repair enzymes [51–54]. 2.4. Wound-Healing Assay (Scratch Test)
2.4. Wound-Healing Assay (Scratch Test) Reactive oxygen species can cause oxidative damage to biological macromolecules including nucleic
acids. If cell damage is excessive, cell death or apoptosis occurs. In cells, checkpoint pathways
are activated to inhibit progression of cells through the G1 and G2 phases to permit removal of
damage and re-entry into the cell cycle. If the DNA damage is not repaired, gene mutations occur at a
high rate and can lead to malignant transformation. For repair of oxidatively damaged DNA bases,
the base excision repair (BER) pathway is responsible. Removal of the damaged base is a result of
increased 8-oxoguanine-DNA glycosylase 1 and apurinic/apyrimidinic endonuclease activities. DNA
polymerase β then fills the gap created by the excision of 8-hydroxydeoxyguanosine. Stimulation
of the growth of prostate cell carcinoma in prostate cell lines is due to higher production of reactive
oxygen species due to the loss of glutathione-S-transferase P1 [50]. The cell-signaling pathways involve
cooperation with transcription factors, anti-apoptotic proteins, pro-apoptotic proteins, protein kinases
and cell-cycle proteins [55]. For study [55], the IC50 value was reported from 200 to 250 µM for
naringenin, and growth inhibition was detected. A similar IC50 value was recorded in study [56]. 3.3. Preparation of the Spice Samples for Cell-Line Proliferative Activity Testing (MTT Assay) In this experiment, eight kinds of spice (marjoram, sweet pepper, black pepper, caraway seeds,
anise, thyme, cinnamon and oregano) were used. To determine the phenolic and flavonoid compounds
from the spices, extraction with 80% (anise, black pepper and caraway seeds) or 100% (thyme,
marjoram, sweet pepper, cinnamon and oregano) methanol was used. 1 g sample was weighed for each of eight kinds of spice (Analytical Weight EP 240A, Precisa,
Stare Mesto, Czech Republic). The samples of the eight kinds of spice were homogenized in a friction
bowl with 10 mL of 80% or 100% methanol, and 0.05 to 0.1 g of sea sand (until evaporation). The
homogenization was repeated once more. After the homogenization, the samples were vortexed
(Vortex Mixers, VELP Scientifica, Usmate Velate MB, Italy) for 1–2 min, and centrifuged at 4500 rpm
and 16 ◦C for 10 min (Centrifuge Z326K, Hermle, Gosheim, Germany). Subsequently, each sample
was filtered through a filter (LUT Syringe Filters Nylon, LABICOM s.r.o., Olomouc, Czech Republic). Samples of the extracts of eight kinds of spice were pipetted (2 mL) and concentrated by nitrogen
evaporation at 60 ◦C. 3.4. Cell-Line Proliferative Activity Testing (MTT Assay) For the extracts from eight kinds of spice, and for the phenolic and flavonoid compounds from
the spices, the treatment was initiated after the cells reached ~60–80% confluence. The cells were then
harvested, washed four times with phosphate-buffered saline (PBS) (pH 7.4), and counted using the
Countess II FL Automated Cell Counter (Life Technologies, Carlsbad, CA, USA). The cells’ proliferative
activity was estimated using the MTT assay. Briefly, the suspension of 5000 cells in 50 µL medium
was added to each well in the microtiter plates (E-plates 96) used, followed by incubation for 24 h at
37 ◦C with 5% CO2 to ensure cell growth. A volume of 50 µL of the medium containing an extract
from eight kinds of spice, and phenolic and flavonoid compounds from the conjugated spices, was
added to the cells. To determine the effects on cell proliferative activity, the extract from eight kinds
of spice (at a concentration of 0.05–25.00 mg·mL−1), and phenolic and flavonoid compounds from
spices (at a concentration of 0.001–1 mmol·L−1) were employed. The treated cells were incubated for
24 h at 37 ◦C with 5% CO2. In addition, 10 µL of 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium
bromide (MTT (5 mg·mL−1 in PBS)) was added to the cells and the mixture was incubated for 4 h at
37 ◦C. The MTT-containing medium was replaced by 100 µL of 99.9% dimethyl sulfoxide to dissolve
MTT–formazan crystals and, after 5 min incubation, the absorbance of the samples was determined
at 570 nm (VersaMax Microplate Reader, Molecular Devices, Sunnyvale, CA, USA). The experiments
were performed in triplicate. 3.1. Chemicals The chemicals were purchased from Sigma-Aldrich (St. Louis, MO, USA) in ACS purity,
unless noted otherwise. Apigenin standard and neochlorogenic acid standard were purchased
from Extrasynthese (Genay, France). Naringenin chalcone standard was purchased from Phytolab
(Vestenbergsgreuth, Germany). 8 of 13 Molecules 2017, 22, 1626 3.2. Cells The
PNT1A
(immortalization
of
normal,
adult,
prostatic,
epithelial
cells),
PC3
(androgen-independent) and 22RV1 (androgen-dependent) prostatic cancer cell lines were
obtained from the American Type Culture Collection (ATCC) (Manassas, VA, USA). The cells were
cultured in a complete RPMI-1640 medium (Hyclone, Waltham, MA, USA) with 10% fetal bovine
serum (FBS) (Hyclone, Waltham, MA, USA), supplemented with penicillin and streptomycin (0.1
mg·mL−1) at 37 ◦C and 5% CO2 in a humidified incubator. 3.6. Wound-Healing Assay (Scratch Test) The treatment was initiated after the cells reached ~100% confluence. The cells were then
harvested, washed four times with PBS (pH 7.4), and counted using the Countess II FL Automated
Cell Counter (Life Technologies, Carlsbad, CA, USA). Briefly, the suspension of 105 cells in the medium
was added to each well in the microtiter plates (E-plates 6) used, followed by incubation after reaching
100% confluence at 37 ◦C with 5% CO2. After 24 h of serum starvation, a wound was made in the
cell monolayer using a 200 µL pipette tip. The cells were washed using PBS, and treated with 2 mL
of the medium containing the phenolic and flavonoid compounds from the spices. To determine
the effects on cell proliferative activity, the phenolic and flavonoid compounds from the conjugated
spices were added to the cells, and a concentration of 1 mmol·L−1 was employed. Images at a 400 µm
magnification were obtained using an EVOS FL Auto Cell Imaging system (ThermoFisher Scientific,
Waltham, MA, USA) at 0, 6, 12 and 24 h of treatment. Within each wound, we analyzed five distance
measurements using the EVOS FL Auto software (version 1.7). The experiments were performed in
duplicate and each microtiter plate measured five times. 3.5. Preparation of the Samples of Spices and the Analysis of Spice Extracts Using LC/MS To determine the phenolic and flavonoid compounds of the spices, extraction with 80% (anise,
black pepper and caraway seeds) or 100% (thyme, marjoram, sweet pepper, cinnamon and oregano)
methanol was used. 1 g sample was weighed for each of eight kinds of spice (Analytical Weight EP 240A, Precisa,
Czech Republic). The samples of the eight kinds of spice were homogenized in a friction bowl with 10
mL of 80% or 100% methanol, and 0.05 to 0.1 g of sea sand (until evaporation). The homogenization 9 of 13 Molecules 2017, 22, 1626 was repeated once more. After homogenization, the samples were vortexed (Vortex Mixers, VELP
Scientifica, Usmate Velate MB, Italy) for 1–2 min, and centrifuged at 4500 rpm and 16 ◦C for 10 min
(Centrifuge Z326K, Hermle, Gosheim, Germany). Subsequently, each sample was filtered through a
filter (LUT Syringe Filters Nylon, LABICOM s.r.o., Olomouc, Czech Republic). Samples of the extracts
of the eight kinds of spice were pipetted (400 µL) and analyzed using LC/MS. To determine the selected phenolic and flavonoid compounds, a high-performance liquid
chromatograph (HPLC Agilent 1200 Series) with a diode array detector and a triple quadrupole
mass detector (6460 Triple Quad) LC/MS was used. For the separation of the phenolic and flavonoid
compounds, a column, Zorbax EC 18 of dimensions 50 mm × 3.0 mm and a particle size of 2.7 µm,
was used. The column was held at 45 ◦C. Mobile phase A consisted of 100% methanol, and mobile
phase B was 0.2% acetic acid. The flow rate of the mobile phase was 0.6 mL·min−1. The compounds
were eluted with a linear upward gradient: 0.00 min (85% B), 0.17 min (85% B), 0.50 min (75% B),
1.70 min (70% B), 4.00 min (70% B), and 6.00 min (85% B). The triple quadrupole mass detector was
operated in negative mode. The gas (nitrogen) temperature was 300 ◦C, the gas flow rate was set to 12
L·min−1, the pressure nebulizer had a value of 45 psi, the temperature of the focusing gas was 250 ◦C,
the flow rate of the focusing gas was set at 11 L·min−1, and the voltage on the capillary tube amounted
to 3500 V. Supplementary Materials: Supplementary Materials are available online, Figures S1–S3 and T Acknowledgments: The study was financially supported by IGA IP_33/2017 and CEITEC 2020 (LQ1601). Author Contributions: Design of experiments: Z.H., O.Z., M.B. and Z.L.; performance of experiments with spices:
Z.L.; performance of LC/MS analysis: B.K.; performance of experiments with cell cultures: Z.L., H.B. and Z.B.;
data analysis: B.K., J.K., Z.L. and H.B.; 1st draft of paper: Z.L.; revision of paper Z.B., O.Z. and V.A. Conflicts of Interest: The authors declare no conflicts of interest. 3.7. Clonogenic Assay The cells were then harvested, washed four times with PBS (pH 7.4), and counted using the
Countess II FL Automated Cell Counter (Life Technologies, Carlsbad, CA, USA). Briefly, the suspension
of 103 cells in the medium was added to each well in the microtiter plates (E-plates 6) used, followed
by incubation for 24 h at 37 ◦C with 5% CO2. After 24 h, the medium was removed, and the cells
treated with 2 mL of the medium containing the phenolic and flavonoid compounds from the spices. To determine the effects on cell proliferative activity, the phenolic and flavonoid compounds from the
conjugated spices were added to the cells, and a concentration of 1 mmol·L−1 was employed. This
was followed by incubation for 24 h at 37 ◦C with 5% CO2, then a medium change and incubation
for 9–14 days at 37 ◦C with 5% CO2. The medium was removed and the cells were washed with PBS
and fixation was completed with methanol:acetic acid (3:1) for 5 min. After fixation, the cells were
colored with 0.5% crystal violet in methanol for 15 min. The cells were washed with Milli-Q water. Images were obtained using a Canon EOS 650D (Canon, Ota, Japan). The experiments were performed
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effects of caraway seeds and black pepper on the tested cell lines. From the black pepper and
caraway seeds, we analyzed selected phenolic and flavonoid compounds using LC/MS. The most
represented phenolic and flavonoid compounds were, in caraway seeds, neochlorogenic acid, and in
black pepper, 3,4-dihydroxybenzaldehyde and naringenin chalcone. The results of the MTT assay for
these compounds determined the value of IC50 (1 mmol·L−1 for the PNT1A, 22RV1 and PC3 cells). The
most potent inhibitory effect on the PNT1A, 22RV1 and PC3 cells was from the naringenin chalcone
(concentration 1 mmol·L−1) contained in black pepper, found using the scratch test. The inhibitory
effect of naringenin chalcone was confirmed in other studies, but in cells other than prostatic cells. The
results obtained serve as a pilot study for further experiments, where other cells lines and/or potency
of some identified biologically active molecules will be tested. Supplementary Materials: Supplementary Materials are available online, Figures S1–S3 and Table S1. References Samykutty, A.; Shetty, A.V.; Dakshinamoorthy, G.; Bartik, M.M.; Johnson, G.L.; Webb, B.; Zheng, G.;
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modifications. Food Chem. 2013, 141, 1227–1241. [CrossRef] [PubMed] Sample Availability: Samples of the compounds are available from the authors. Sample Availability: Samples of the compounds are available from the authors. © 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/). © 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/).
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Athenea Digital - 20(1): e2242 (marzo 2020) -ARTÍCULOS- Athenea Digital - 20(1): e2242 (marzo 2020) -ARTÍCULOS- ISSN: 1578-8946 Abstract Keywords
Body
Technology
Queer
Transfeminism It is my purpose in this article to point out the transfeminist connections between
bodily and technological dissidence. Starting from the transformations analysis of
the technologies of the body from foucaultian biopolitics to the technopolitics un-
veiled by Donna Haraway and Paul Preciado, in this paper I gather some of the
points raised in the discussions within cyberfeminist, queer and decolonial per-
spectives that connect bodies and technologies, emphasizing in the non-normative
corporalities and sexualities on the network. p
Based on the previous critical perspectives of technologies and on the ethno-
graphic fieldwork carried out in the transfeminist context in Barcelona, I explore
transfeminist political practices which lead me to acknowledge and to conclude
that the potential of new techno-corporal articulations are intended to resist and
transform technoscience. Martínez Pozo, Lola (2020). Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías desde
perspectivas transfeministas. Athenea Digital, 20(1), e2242. https://doi.org/10.5565/rev/athenea.2242 Martínez Pozo, Lola (2020). Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías desde
perspectivas transfeministas. Athenea Digital, 20(1), e2242. https://doi.org/10.5565/rev/athenea.2242 Resumen Recibido: 24-04-2019
Primera revisión: 08-06-2019
Aceptado: 28-08-2019
Publicado: 07-02-2020 En el presente artículo mi objetivo es plantear las conexiones transfeministas en-
tre disidencias corporales y tecnológicas. Partiendo del análisis de las transforma-
ciones de las tecnologías del cuerpo desde la biopolítica foucaultiana hasta la tec-
nopolítica desvelada por Donna Haraway y Paul Preciado, en este trabajo recojo
algunos de los debates planteados desde perspectivas ciberfeministas, queer y de-
coloniales que conectan los cuerpos y las tecnologías, enfatizando en las corporali-
dades y sexualidades no normativas en la red. Palabras clave
Cuerpo
Tecnología
Queer
Transfeminismo y
A partir de las anteriores perspectivas críticas de las tecnologías y la realización
de trabajo de campo de carácter etnográfico en el contexto transfeminista de Bar-
celona, indago en prácticas políticas transfeministas que me llevan a reflexionar y
a concluir sobre la potencialidad de nuevas articulaciones tecno-corporales dirigi-
das a resistir y transformar la tecnociencia. ERROR EN EL SISTEMA//CTRL+ALT+SUPR: CONECTAR CUERPOS Y
TECNOLOGÍAS DESDE PERSPECTIVAS TRANSFEMINISTAS
SYSTEM ERROR//CTRL+ALT+SUPR: CONNECTING BODIES AND
TECNOLOGIES FROM TRANSFEMINIST PERSPECTIVES Lola Martínez Pozo Introducción En mi trabajo de investigación parto de una comprensión de los cuerpos como espa-
cios políticos, construcciones y producciones socioculturales, ámbitos de reflexión so-
cial y académica. Formulaciones de amplio calado inauguradas por Michel Foucault
(1979; 1976/1987) y desarrolladas desde diversas corrientes críticas en el marco de la
teoría social del cuerpo ( Csordas, 1993; Turner, 1989, 1994), la antropología del cuerpo
(Citro, 2010; Esteban, 2004; Le Breton, 2002), los enfoques posfeministas (Butler,
1993/2002; De Lauretis, 1987/1989; Fausto-Sterling, 2000/2006; Haraway, 1991/1995;
Preciado, 2008); las perspectivas queer (Córdoba, Sáez y Vidarte, 2005/2007; Romero, 1 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías García y Bargueiras, 2005) y los feminismos decoloniales (bell hooks et al., 2004; Suá-
rez y Hernández, 2008). Nutriéndome de los anteriores desarrollos teóricos entiendo los cuerpos como
materializaciones encarnadas de tecnologías de poder que se articulan en base a cate-
gorías sociales como el sexo, el género, la sexualidad, la clase, la raza, la nacionalidad,
las migraciones, la salud, la habilidad y la edad, para producir cuerpos disciplinariza-
dos y viables, así como cuerpos patológicos y/o anormales. Coincidiendo con Paul Pre-
ciado (2014) entiendo las corporalidades como un conjunto articulado y/o conflictivo
de diversas ficciones históricas, culturales y geopolíticas. Desde esta comprensión del cuerpo, en primer lugar, en este texto planteo las co-
nexiones que encuentro entre cuerpos, tecnologías y poder en las contemporáneas ci-
ber-tecno sociedades1 del capitalismo tardío. Desde la biopolítica conceptualizada por
Michel Foucault (1976/1987), la performatividad propuesta por Judith Butler
(1993/2002) y la tecnopolítica desarticulada por Donna Haraway (1991/1995) y Paul
Preciado (2008), entre otrxs2, destaco una mutación en las tecnologías de producción y
regulación corporal donde la tecnociencia adquiere una relevancia central en la con-
formación de los cuerpos, las subjetividades y las sociedades normalizadas. Con el objetivo de contemplar lecturas y prácticas de resistencia a la tecnociencia
dominante, continúo indagando en las reapropiaciones feministas y queer de las tec-
nologías a partir de la política cyborg propuesta por Haraway (1991/1995). En esta línea, enfatizo en debates procedentes de perspectivas ciberfeministas,
tecnofeministas, feministas decoloniales, ciberqueer y tecnoqueer que posibilitaron la
articulación entre cuerpos y tecnologías digitales. Las anteriores perspectivas críticas de las tecnologías me orientaron a la realiza-
ción de una investigación etnográfica en el contexto transfeminista de Barcelona para
indagar en las conexiones transfeministas con los cuerpos y las tecnologías. 1 Concepto propuesto a partir de los planteamientos en torno a la "cibersociedad" y “cibercultura" de Jordi Planella
(2006) para destacar el impacto y la relevancia de las tecnologías en las sociedades. 2 Empleo la X para suprimir la identificación normativa de género. 2 Empleo la X para suprimir la identificación normativa de género. Introducción En este
sentido, en la segunda parte del artículo destaco las aportaciones de lxs activistas en-
trevistadxs y recojo algunos proyectos políticos que conectan disidencias corporales,
sexuales y tecnológicas, como referentes que dan lugar a nuevos enfoques y fructíferas
articulaciones feministas orientadas a subvertir las tecnologías dominantes de produc-
ción corporal y subjetiva y a generar códigos alternativos para habitar nuestros cuer-
pos y máquinas. 2 Lola Martínez Pozo El cuerpo como ficción: de la biopolítica a la
tecnopolítica Con la intención de contemplar las articulaciones feministas dirigidas a la subversión
de la tecnociencia mediante la conexión entre cuerpos y tecnologías, en este apartado
destaco las aportaciones que me han permitido contextualizar la transformación de las
tecnologías biopolíticas de producción y regulación corporal y subjetiva hacia nuevas
formas de tecnopolítica dando lugar a nuevas configuraciones del cuerpo. El cuerpo se constituye como la articulación de ficciones políticas vivas y plurales,
que nunca ha contado con una ontología natural, lo cual implica que la comprensión
de su existencia esté vinculada a marcos culturales, históricos, políticos y epistemoló-
gicos concretos. En este sentido, considero relevante aquello que Preciado (2015) deno-
mina somateca, es decir, la perspectiva de pensar el cuerpo como un archivo de ficcio-
nes políticas vivas, somatopolíticas. Comiendo recogiendo las aportaciones de Foucault (1976/1987) ya que teorizó so-
bre los desplazamientos del poder en las sociedades occidentales de finales del siglo
XVIII desde regímenes de poder soberano-necropolítico, basados en dar la muerte o
permitir la vida, a regímenes de poder biopolítico donde las relaciones entre saber,
verdad, poder y corporalidad se dirigen a administrar la vida. Yuxtaposiciones de regímenes de poder vienen a articularse directamente en los
cuerpos a través de la red que Foucault (1979) denominó bio-poder o somato-poder. El autor centró su mirada en la sexualidad como elemento fundamental en el cru-
ce de dos ejes, las disciplinas del cuerpo y la biopolítica de la población, a través de los
cuales se desarrolló un gran dispositivo de tecnologías políticas de administración de
la vida durante los siglos XVIII y XIX (Foucault, 1979/1987). Por otro lado, las aportaciones de Judith Butler (1993/2002), en cuanto a las rela-
ciones entre poder y corporalidad, me permiten contar con un mayor alcance. La auto-
ra parte de la noción foucaultiana acerca de que el poder produce los propios cuerpos
que controla y desarrolla la noción de poder a través de la performatividad, como ac-
tos y producciones reguladas, reiteradas y excluyentes que dibujan y establecen los lí-
mites de aquello que se consideran cuerpos viables y aquello que no. Desde mi punto
de vista, la autora comprende el poder no sólo como medio productivo normativo que
conforma cuerpos inteligibles, sino que, también funciona produciendo un exterior de
cuerpos abyectos. El cuerpo como ficción: de la biopolítica a la
tecnopolítica 3 3 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías Desde mi punto de vista, el trabajo de Preciado (2008) también amplía las teoriza-
ciones inauguradas por Foucault y viene a conceptualizar un nuevo régimen de sexua-
lidad denominado farmacopornográfico, el cual desplaza a la sociedad disciplinarizada
analizada por el autor. Para Preciado, este régimen emerge a partir de la segunda gue-
rra mundial y, destacando un conjunto de transformaciones en las tecnologías del
cuerpo, desvela cómo la tecnociencia pasa a ocupar un lugar dominante en la formula-
ción de la normalidad. La invención de la categoría biotecnológica de género inaugura el régimen farma-
copornográfico, donde no sólo el género, sino también el sexo, la sexualidad y la raza,
funcionan como dispositivos tecnopolíticos de producción de subjetividad y de gestión
corporal a través de dinámicas del capitalismo avanzado. Algunos hitos clave identifi-
cados por Preciado (2008) en la tecnificación corporal de los dispositivos de regulación
de la subjetividad son: la naturalización de la diferencia sexual mediante la patologiza-
ción de la transexualidad y la intersexualidad; y la normalización de la heterosexuali-
dad a través de la criminalización, persecución y patologización de las prácticas sexua-
les consideradas perversas. A partir de este momento, en acuerdo con Preciado (2008), las diferencias corpo-
rales y las prácticas sexuales generan identidad, es decir, la tecnificación corporal de
los mecanismos que producen y regulan la subjetividad se articula a través del aparato
identitario. Los dispositivos tecnopolíticos de subjetivación tienen sus raíces en la sociedad
científica, industrial y colonial del siglo XIX y se harán visibles, en su configuración
actual, tras la segunda guerra mundial con el desarrollo de la economía posfordista,
donde el motor del capitalismo actual es el control farmacopornográfico de nuestra
subjetividad (Preciado, 2008). Siguiendo los análisis de Preciado (2008) las tecnologías producidas en la segunda
guerra mundial se van a transformar tanto en tecnologías de normalización y control
del cuerpo, como en tecnologías de información, comunicación, mediatización y pro-
ducción-consumo posfordista, como circuitos en donde nuestras corporalidades se re-
suelven en el marco del capitalismo tardío. El funcionamiento de este conjunto de técnicas de guerra en el gobierno del cuer-
po ya no es exclusivamente arquitectónico y jurídico, sino que, también es tecnológi-
co, digital, cibernético, prostético, biomolecular, mercantil y mediático, pasando a
transformar la misma materialidad y entrando dentro del propio cuerpo vivo (Precia-
do, 2008). El cuerpo como ficción: de la biopolítica a la
tecnopolítica En esta línea in-
terpretativa, a través de la imaginería cyborg, la autora aborda los organismos, cuerpos 5 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías y subjetividades que habitan las actuales escenas posmodernas, regidos por tecnolo-
gías del cuerpo de índole bien diferenciada a la modernidad. En este sentido, el cyborg
se constituye como el paradigma que da cuenta de la codificación del cuerpo a través
de las tecnologías de la información y la comunicación, y las biotecnologías. Para Haraway “el cyborg es nuestra ontología, nos otorga nuestra política”
(1991/1995, p. 254), es decir, los cyborgs son los ciberorganismos resultantes de las con-
temporáneas tecnologías de control y regulación, por lo que, también, son lugares es-
tratégicos que desvelan, resisten y transgreden sistemas de dominación. Por tanto, la
imaginería cyborg es subversiva, una potencia que Haraway (1990/1999) propone como
política cyborg para otros inapropiados/bles. El cuerpo como ficción: de la biopolítica a la
tecnopolítica 4 4 Lola Martínez Pozo En las sociedades disciplinarizadas teorizadas por Foucault (1976/1987) las tecno-
logías biopolíticas de subjetivación regulaban el cuerpo desde el exterior, lo cuerpos
habitaban las arquitecturas del poder. Sin embargo, en el régimen farmacopornográfi-
co, las tecnologías de regulación corporal penetran y se transforman en cuerpo y sub-
jetividad, la tecnopolítíca se incorpora, se hace carne. Por lo que el cuerpo del siglo
XXI, “es una entidad tecnoviva multiconectada que incorpora tecnología” (Preciado,
2008, p. 39). Por tanto, siguiendo a Jaime del Val (2006b) las articulaciones del poder han expe-
rimentado profundas transformaciones, donde las tecnologías son claves en los proce-
sos de formalización, estandarización, asimilación y representación de los cuerpos en
el mercado global. El advenimiento de dichas tecnologías ha desplazado al sistema biopolítico hacía
nuevas formas de tecnopolítica, donde los cuerpos y lxs sujetos son discursivamente y
tecnológicamente producidos, reproducidos y representados en base a categorías de
estratificación y producción de subjetividad y sus márgenes, que ya no funcionan ex-
clusivamente bajo lógicas esencialistas, sino, también, como instrumentos al servicio
de la asimilación estandarizada (Del Val, 2006b). En este sentido, Del Val (2006a) denomina tecnopoder a esta derivación del biopo-
der, donde el poder se conforma en torno a industrias, modelos e implantaciones tec-
nológicas mediante estrategias de falso progreso y democratización, teniendo como
consecuencia la estandarización de las sociedades y la aparición de nuevas formaliza-
ciones del cuerpo. Así mismo, para abordar estas articulaciones entre cuerpos y tecnopoder en el
marco de la tecnociencia recojo las aportaciones de Donna Haraway. En su trabajo
Ciencia, cyborg y mujeres (1991/1995) no advertía de la urgencia feminista de interve-
nir la tecnociencia. En este sentido, la autora desvela los discursos y prácticas tecno-
científicas dirigidas a la construcción natural, estática y desigual del cuerpo, para desa-
rrollar propuestas epistemológicas y políticas feministas, anticoloniales, antirracistas y
anticlasistas orientadas a la reinvención de la naturaleza y a la reapropiación tecnoló-
gica. Desde mi perspectiva, la deconstrucción crítica de la tecnociencia desarrollada por
Haraway (1991/1995) continúa vigente y da cuenta de las contemporáneas tecnologías
de regulación corporal. Sus análisis exceden las tecnologías del cuerpo contempladas
por Foucault (1981/1990) como el conjunto de normas, mecanismos, técnicas, discipli-
nas e instituciones que conforman y constituyen al sujeto moderno. Lecturas y prácticas posfeministas derivadas del cyborg Frente a la normalización tecnopolítica de los cuerpos desde las contemporáneas tec-
nologías de subjetivación en las sociedades del capitalismo tardío emergen corrientes
y prácticas de resistencia situadas en el marco de aquello ampliamente documentado
como posfeminismos. Los posfeminismos implican un enfrentamiento y deconstrucción de los dualis-
mos imperantes en los feminismos que les preceden. Asimismo, las perspectivas posfe-
ministas suponen un giro político que se desplaza hacia la otredad, la diferencia, enfa-
tizando ámbitos hasta el momento invisibilizados como son los cuerpos y las sexuali-
dades no normativas (García, Moreno y Sánchez, 2004). Desde mi punto de vista, los posfeminismos, pero también lo queer y los feminis-
mos decoloniales, han sido cruciales y el marco de referencia para la emergencia de
enfoques y prácticas políticas que conectan cuerpos y tecnologías. Dichas corrientes
han operado como una irrupción teórica, analítica y política desarrollando ejercicios
críticos dirigidos a cuestionar y deconstruir los dualismos presentes en los feminismos
occidentales, a articular las diversas categorizaciones sociales y ejes de poder que se
inscriben en nuestros cuerpos y a conectar las diferentes opresiones y resistencias, te-
niendo como consecuencia la desconstrucción del sujeto político feminista hegemóni-
co y la apertura a otrxs subjetividades, ámbitos y prácticas políticas. En este contexto, desde la década de los setenta, la redefinición, reapropiación y
politización del cuerpo ha adquirido una especial relevancia desde diversos ámbitos
como las teorías y activismos queer, decoloniales, feministas y transfeministas. Las re-
conceptualizaciones y posicionamientos en el cuerpo como ámbito político han su-
puesto el cuestionamiento de los dispositivos implícitos del poder, así como la desarti- 6 Lola Martínez Pozo culación crítica de los procesos normativos de control, producción, naturalización y
exclusión (Del Val, 2006a). Por otro lado, también en los años setenta, las teorizaciones y movimientos femi-
nistas comenzaron a aproximarse a las tecnologías en el marco de las heterogéneas
críticas feministas de la tecnociencia (Wajcman, 2009). No obstante, durante las déca-
das de los setenta y ochenta, las perspectivas feministas de las tecnologías se caracteri-
zaban por posturas pesimistas y de rechazo dado el carácter sexista, androcéntrico y
patriarcal subyacente a las mismas (Romero, 2014; Vergés, 2013). Lecturas y prácticas posfeministas derivadas del cyborg Posteriormente, di-
chas posturas, centradas en la relación género-tecnología y la exclusión de las mujeres,
se vieron transformadas por las rupturas epistemológicas y políticas procedentes de
las contribuciones de los feminismos queer, decoloniales y posfeministas, donde se
produce una crítica a las tecnologías contemplando el potencial subversivo de las mis-
mas (Wajcman, 2009). En este sentido, un punto de inflexión en las percepciones, narrativas y usos de
las tecnologías por parte de los feminismos fue el Manifiesto para Cyborgs de Donna
Haraway (1991/1995). La autora, a través de la figura del cyborg como parte humana y
parte máquina, realiza, por un lado, una crítica a la tecnociencia y, por otro lado, pro-
pone la política cyborg como una subjetividad potencialmente subversiva que no se
construye desde las identificaciones tradicionales. Los ejercicios de deconstrucción, politización y articulación de los cuerpos y las
tecnologías mediante la reapropiación de las mismas y a través de múltiples prácticas
activistas han adquirido un peculiar protagonismo en las últimas décadas. Concreta-
mente, desde los años noventa con el desarrollo de los ciberfeminismos, los tecnofemi-
nismos y lo ciber-tecnoqueer, y más recientemente, desde las articulaciones transfemi-
nistas con los ámbitos tecnológicos. Resituar el cuerpo en los ciberfeminismos En los años noventa las posibilidades creativas y políticas que ofrecía Internet consti-
tuyeron el impulso para el desarrollo de los ciberfeminismos. Las visiones feministas
de este ámbito tecnológico encontraron en las realidades on-line y en la red espacios e
instrumentos para la articulación de nuevas formas de colectividad y activismo. Inter-
net nos ofrecía a todxs la posibilidad de convertirnos en productorxs y de horizontali-
zación. Todo ello constituyó una potencia política y revolucionaría que desde la hete-
rogeneidad de las prácticas ciberfeministas se orientó a la deconstrucción de identida-
des, y la desarticulación de las fronteras entre las esferas público-privada y produc-
ción-reproducción (Zafra, 2011). 7 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías Las raíces teóricas de los ciberfeminismos las encontramos en la fusión entre Ha-
raway, el feminismo francés de tercera ola y las corrientes posestructuralistas (Gallo-
way, 1997). De igual modo, en las formas de abordar los cuerpos y las identidades “el
ciberfeminismo entronca con el posfeminismo y las teorías posidentitarias y posgené-
ricas” (Álvarez, 2014, p. 35). No obstante, desde el inicio de los ciberfeminismos el espacio cibernético fue des-
corporeizado. Escapar de la carne, del cuerpo físico, del determinismo biológico asocia-
do a las identidades, se constituían como frecuentes retóricas en las luchas feministas
en la red (Romero, 2014). Tales narrativas las podemos encontrar en la autora ciberfeminista Sadie Plant
(1997), quien conceptualizó Internet como un medio no jerarquizado, un espacio de li-
beración para la construcción de identidades, para escapar del cuerpo, donde no existe
el género. En su trabajo cuestiona la tecnofobia característica de los feminismos occidentales
tradicionales, afirma que la tecnología es femenina y, a partir de la codificación binaria
de Unos como masculinos y Ceros como femeninos y de las características de la red
como la difusión, la flexibilidad, la descentralización y la horizontalidad, reivindica la
creación de un mundo posgénero sin jerarquías (Plant, 1997). En el primer desarrollo de los ciberfeminismos, identificado por algunas investi-
gadoras (Núñez, 2008; Vergés, 2013) como la primera ola ciberfeminista, la relación fe-
minista con las tecnologías digitales se caracterizaba por la compresión neutral y utó-
pica de las mismas, el dualismo entre cuerpo y tecnología y por una noción esencialis-
ta y binaria de género. Por su parte, los tecnofeminismos emergieron en oposición a dichas posturas ci-
berfeministas. Resituar el cuerpo en los ciberfeminismos Desde los tecnofeminismos se propone una relación de transformación
crítica con las tecnologías, tomando como punto de partida los procesos de construc-
ción mutuamente constitutivos entre género y tecnología, así como la reproducción de
ideologías y prácticas desiguales de género en los ámbitos tecnológicos y en la red
(Wajcman, 2004/2006). No obstante, a pesar de estas contribuciones críticas que permi-
ten considerar los cuerpos generizados y la persistencia de jerarquías en relación con
lo tecnológico, para Judith Wajcman (2004/2006), referente teórico de los tecnofemi-
nismos, las tecnologías digitales y la red se conformaban como espacios descorporeiza-
dos: “en el ciberespacio todas las señas físicas, corpóreas, se eliminan de la comunica-
ción” (p. 104). 8 Lola Martínez Pozo Por el contrario, las aportaciones de Sandy Stone (1991), considerada referente en
los activismos ciberfeministas y transgénero, han contribuido a enfatizar el cuerpo
como un tema central para los ciberfeminismos. Su trabajo, lejos de considerar que el
cuerpo y el género estén ausentes en las tecnologías, aborda cómo las tecnologías de la
comunicación producen, representan y organizan cuerpos, identidades, comunidades y
espacios mediante las interfaces. Han pasado casi tres décadas desde los inicios de los ciberfeminismos, desde el
trabajo de las VNS Matrix y su Manifiesto ciberfeminista para el siglo XXI (1991)3, desde
las primeras Internacionales Ciberfeministas4 y la publicación del Libro Ceros+Unos de
Plant (1997). En el transcurso de este tiempo, los ciberfeminismos han sido protagonistas de
múltiples debates fruto de las interpelaciones procedentes de los movimientos feminis-
tas en relación a la utilidad política de los ciberfeminismos (Wilding, 2004), de las in-
tersecciones ausentes en sus articulaciones con las tecnologías digitales (Salido, 2017),
de las genealogías feministas decoloniales (Reyes, 2017), así como consecuencia de
ejercicios críticos desarrollados dentro del propio ciberfeminismo (Núñez, 2008; Rever-
ter, 2013). En este último sentido, en el marco de la segunda ola ciberfeminista, aparecen de-
bates en torno al determinismo tecnológico y el esencialismo sexual activando postu-
ras ciberfeministas que incluyen la multiplicidad del cuerpo en relación con lo tecnoló-
gico. 4 La primera edición de la Internacional Ciberfeminista fue en 1997 con La X Documenta de Kassel, Alemania. 3 VNS Matrix fue un colectivo de artistas feministas que realizaban acciones políticas en la red y son un referente
tanto para los ciberfeminismos como para la politización queer y transfeminista de las tecnologías.. Resituar el cuerpo en los ciberfeminismos De esta forma, las tecnologías digitales empiezan a ser abordadas desde una no-
ción de género constructivista y no binaria (Vergés, 2013), se desarrollan narrativas y
prácticas ciberfeministas que potencian la transformación crítica tanto del género
como de la propia tecnología (Braidotti, 1996; Faulkner, 2001; Flanagan y Both, 2002),
así mismo, emergen críticas que abordan la red como un espacio jerarquizado, sexista,
racista, clasista y etnocéntrico (Reverter, 2001; Salido, 2017) e irrumpen debates que
contemplan la articulación entre género, raza, tecnología y ciberfeminismos (Fernán-
dez, Wilding y Writte, 2002). Precisamente las articulaciones que interrelacionaron raza, racismo, tecnologías y
ciberfeminismos (Daniels, 2009) posibilitaron corporeizar el ciberespacio, la red y los
ciberfeminismos. Las contribuciones procedentes de otras geografías políticas del co-
nocimiento introdujeron el cuerpo desde la crítica decolonial yendo más allá de las crí-
ticas ciberfeministas centradas en el género y abordando ámbitos excluidos como las 9 9 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías diferencias y desigualdades raciales (Galpin, 2002; Nakamura, 2002) y la crítica al ra-
cismo y etnocentrismo característico de los feminismos occidentales de las tecnologías
(Fernández, 2002; Gajjala, 1999; Kvasny, 2006; Wright, 2002). Así mismo, los enfoques decoloniales sobre los ciberfemismos (Reyes, 2017) abor-
dan la producción y desarrollo de la tecnociencia, las tecnologías y las TIC en el marco
de relaciones de poder entre el norte global y el sur global, las cuales tienen sus raíces
en el colonialismo precedente y persisten debido a sus continuidades. En este contexto,
las ciberfeministas del sur global atienden a las particularidades e intersecciones de las
resistencias ciberfeministas de las áreas periféricas (Flores, 2012; Tapia, 2012) e impli-
can revisiones epistemológicas y prácticas de ruptura con los imaginarios ciberfemi-
nistas del norte global (Reyes, 2017). En este sentido, Roxana Reyes (2017) interpreta
los ciberfeminismos de los ámbitos periféricos como la expresión contemporánea de la
conciencia y política opositiva cyborg de Chela Sandoval. Resituar el cuerpo en los ciberfeminismos Por otro lado, en relación a las perspectivas ciberfeministas descorporeizadas so-
bre la red como un espacio donde el género pueden suprimirse y superarse hacia un
mundo posgénero (Zafra, 2014) y donde las identidades se escinden de los cuerpos,
emergiendo el poscuerpo o no-cuerpo en Internet (Zafra, 2011), las reflexiones de Reme-
dios Zafra (2008, 2011) acentúan cómo en la cultura-red se reproducen los modelos
identitarios y corporales normativos, las representaciones y las desigualdades asocia-
das a los mismos, a la par que se generan nuevas relaciones de poder limitando el ejer-
cicio deconstructivo. Así mismo, en relación a las visiones ciberfeministas poscorporales y posidentita-
rias en la red, se han sucedido re-elaboraciones que cuestionan aquellas perspectivas
que sugieren la eliminación de las identidades y los cuerpos on-line, ya que implica su-
primir las diferentes trayectorias y opresiones. Dicha deconstrucción conlleva la su-
presión de la categoría social de visibilidad en los entornos on-line con una conse-
cuente pérdida del potencial subversivo. Igualmente, desde ejercicios críticos ciberfe-
ministas se ha constatado que prevalece el énfasis en las identidades como práctica
subversiva para encontrar y construir comunidades, otras formas de comunicación y
producción de conocimiento, como pueden ser colectivos y grupos feministas y lgtbiq
(Daniels, 2009). Por otro lado, Diane Currier (2003) plantea otros enfoques en la intersección entre
cuerpos y tecnologías, y aborda dicha articulación desde el concepto de ensamblajes de
Deleuze y Guattari, ofreciendo posibilidades analíticas y políticas a los feminismos de
las tecnologías para situar los cuerpos en la era tecnológica más allá de las lógicas
identitarias. 10 Lola Martínez Pozo Las disidencias sexuales y de género: articulaciones tecnológicas queer Las disidencias sexuales y de género: articulaciones tecnológicas queer Junto con los feminismos, lo queer también se ha aproximado a los ámbitos tecnológi-
cos. En este sentido, tecnoqueer es la orientación de las teorías y políticas queer hacía
la tecnología mediante la relocalización y reconfiguración de los ámbitos abiertos por
lo cyborg y lo ciberqueer, por lo que es la irrupción e intervención de las críticas, teo-
rías y políticas queer en los estudios y ámbitos tecnoculturales (Chang, 2012). Desde
mi punto de vista, las perspectivas tecnoqueer cuestionan, desvelan y resisten los sis-
temas tecnológicos como estructuras de poder tecnonormativas, es decir, como estruc-
turas y prácticas heterosexistas, cisnormativas y lgtbiqfóbicas, donde se conforman y
reproducen construcciones interseccionales de sexo, género, sexualidad, cuerpo y tec-
nología. En relación a las imbricaciones tecno-corpóreas, siguiendo a Edmond Chang
(2012), las aproximaciones tecnoqueer nos permiten una inclusión e integración de los
cuerpos y subjetividades en los circuitos tecnológicos: The technoqueer renders and articulates the ways technology mediates these
identities, subjectivities, and embodiments, the ways ideas, selves, and bodies
mediate technology, and our discourses and understandings of these forma-
tions. By queering technology and moving queer theory toward technocul-
ture, the tecnoqueer hopes to show how bodies, identities, and subjectivities
are gendered, sexualized, raced, and technologized by how they are exten-
ded, transformed, even contained by technologies. (p. 47) Así mismo, la orientación de las teorías y prácticas queer hacía la tecnocultura
produce lecturas, imaginarios, representaciones y configuraciones corporales alternati-
vas (Chang, 2012). Las raíces teóricas de lo tecnoqueer son identificadas con los planteamientos Cy-
borg de Donna Haraway (1991/1995), en la medida en que dicha imaginería acoge la
monstruosidad, la distorsión y la rareza. Así mismo, lo tecnoqueer encuentra su afini-
dad en la figuración cyborg, dadas las potenciales acciones de lucha que sugiere la au-
tora, las políticas cyborg. Katherine N. Hayles (1999) pone de manifiesto la conjunción tecnológica y discur-
siva en la formación del cyborg y es, precisamente, en dicha articulación, donde lo tec-
noqueer indaga, re-elaborando los límites y las posibilidades del cyborg inicialmente
teorizado por Haraway. Las disidencias sexuales y de género: articulaciones tecnológicas queer Asimismo, Sandy Stone (1995) constituye un referente en la investigación sobre
las huellas de lo tecnoqueer por sus análisis sobre las formas, a través de las cuales, las 11 11 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías tecnologías de la comunicación revelan a la par que desafían nuestras nociones tradi-
cionales de identidad en relación al género, la sexualidad, la raza, etc. Y, por sus inda-
gaciones, en torno a las posibilidades deconstructivas y alternativas de las tecnologías
de la comunicación. En esta línea, el trabajo de la autora se convierte en un impulso y
punto de partida para lo tecnoqueer a partir de sus planteamientos sobre lo cyborg
como una figuración monstruosa en el límite de todas las fronteras. En este último sentido, en términos de desafío, transformación y subversión de las
tecnologías como sistemas de producción y representación corporal-sexual normati-
vos, es donde conectan el cyborg con lo queer, conformando aquello que se ha denomi-
nado ciberqueer y, posteriormente, tecnoqueer, ampliando la vinculación de lo queer a
todos los ámbitos tecnológicos y a la tecnocultura. En relación a lo ciberqueer, dicho concepto aglutina una amalgama de perspecti-
vas, prácticas e indagaciones que emergen y se consolidan a lo largo de la década de
los noventa. El cibersujeto apareció como una de las manifestaciones de lo queer en su
paso de la realidad física a la realidad virtual (Tudor, 2012). Ciberqueer se presenta
como un híbrido entre lo queer y lo ciber que se genera y vincula con prácticas diarias
de personas y comunidades lgtbiq en la red, así como, con los estudios e investigacio-
nes sobre tales realidades. En los ámbitos académicos, una de las primeras conceptualizaciones del término
ciberqueer se identifica con el ensayo de Donald Morton (1995/2002). No obstante, el
autor, desde perspectivas críticas hacia lo queer, el posmodernismo y desde posturas
fóbicas hacia las tecnologías digitales, no reconoce el potencial político de subversión
y transformación que la articulación queer y ciber pueden suponer. Por su parte, Nina Wakeford (2000) inaugura perspectivas más positivas de lo ci-
berqueer, ya que reconoce el ciberespacio como un espacio queer —aunque no sola-
mente queer— desmontando la convencional comprensión del ciberespacio como una
realidad única y monolítica. Las disidencias sexuales y de género: articulaciones tecnológicas queer Desde el punto de vista de la autora, la conexión de lo
queer con lo cyborg y el ciberespacio radica en las diferencias, la multiplicidad, en la
dispersión, los solapamientos, superposiciones e inestabilidad. En este sentido, Wakeford (2000) plantea lo ciberqueer como espacios que, aun-
que inmersos en ámbitos y prácticas tecnoculturales normativas, suponen lugares de
resistencias y protestas mediante la construcción de comunidades, alianzas, políticas
de representación y activismos conformados por gays, lesbianas, trans* y queer que
desafían y confrontan la heteronormatividad. 12 12 Lola Martínez Pozo Los activismos ciberqueer, mediante la reapropiación de las tecnologías digitales
como herramientas políticas, han desarrollado ejercicios y prácticas de visibilización,
manifestación y representación de las sexualidades y géneros disidentes posibilitando
el empoderamiento colectivo a través del uso de la red, ejercicios que también per-
mean en la materialidad de las prácticas e identidades sexuales en las realidades off-li-
ne (Landström, 2007). Así mismo, tales activismos han contribuido a superar y cuestionar la influencia
de la heteronormatividad en perspectivas y análisis feministas sobre la relación entre
género y tecnología, así como, en prácticas ciberfeministas (Landström, 2007). Por otro lado, en los estudios e investigaciones culturales en torno a las tecnolo-
gías se han destacado ausencias en relación a temas y experiencias vinculadas con el
ámbito de la sexualidad y lxs cibersujetos lgtbiq, de ahí la aparición y desarrollo de los
denominados estudios ciberqueer orientados a visibilizar y resistir frente a dichas su-
presiones (Wakeford, 2002). En esta línea, la compilación de The Cyberculture Reader, editada por David Bell y
Bárbara Kennedy (2000) y la antología Queer online: Media Technology and Sexuality
editada por Kate O´riordan y David Philips (2007), nos permiten recorrer los emergen-
tes, y aún presentes, campos y temáticas de investigación en los estudios ciberqueer. Donde Wakeford (2002) destaca la identidad y auto-representación on-line; la produc-
ción del espacio virtual queer; la construcción y gestión de comunidades on-line y re-
des virtuales, y la transformación de las prácticas eróticas y sexuales a través de las
nuevas tecnologías. Considero que la apropiación de las tecnologías digitales por parte de géneros y
sexualidades no normativas, para visibilizar y conectar sus luchas, ha forzado a los ci-
berfeminismos a incorporar las disidencias corporales en sus reflexiones. Las colectivos queer y trans se han nutrido del universo cyborg y se apropian del
ciberespacio (Salido, 2017). No obstante, están inmersxs en una multiplicidad. Las disidencias sexuales y de género: articulaciones tecnológicas queer En la red
se trasladan la pluralidad de prácticas feministas, los distintos colectivos lgtbiq, las di-
ferentes posiciones de las movilizaciones y colectivos trans*, las subjetividades y co-
lectividades migrantes y racializadas, los activismos crip y por la diversidad funcional,
lxs trabajdorxs sexuales, etc. Asimismo, la red propicia la expansión y continuidad de
los feminismos “hegemónicos”, de las “tradicionales” controversias feministas en torno
a lo trans, el trabajo sexual, las tecnologías reproductivas y gestación subrogada, el ra-
cismo y el clasismo, entre muchas otras. 13 13 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías Desde mi punto de vista este panorama múltiple y conectado implica nuevos retos
epistemológicos y políticos para la reflexión feminista y ciberfeminista actual en rela-
ción a las fricciones, sinergias y articulaciones entre los diversos feminismos en red y
las disidencias corporales. Abriendo cuerpos y tecnologías desde diálogos
transfeministas El desarrollo de lo queer en el estado español, a lo largo de la década de los noventa,
ha tenido su particularidades locales autoenunciándose como transfeminismos a partir
de las Jornadas Estatales Feministas de Granada en 2009 y de los manifiestos transfemi-
nistas de 2010 (Ideadestroyingmuros, 2009; Manifiesto Transfeminista- transfronterizo,
s/f). Desde mi experiencia activista, los transfeminismos han posibilitado la articula-
ción de narrativas y prácticas políticas entre comunidades, colectivos y luchas feminis-
tas, bolleras, maricas, trans*, de trabajadorxs sexuales, migrantes, racializadas, perso-
nas con diversidad funcional, okupas, anticapitalistas, antiespecistas y personas con
prácticas sexuales no normativas. La confluencia de todo ello ha dado lugar a toda una serie de activismos denomi-
nados feminismos queer, feminismos posidentitarios, postporno, feminismos postpor-
nopunk, transmaricabollo, transfeministas. Dichas denominaciones emplean nombres
compuestos con una voluntad inclusiva, y prefijos como “trans” y “post” como una
forma de cuestionar y ampliar estrategias de los propios discursos y políticas que los
preceden (Sentamans, 2013). Toda una amalgama que encuentra su herencia en los fe-
minismos radicales, lesbianos, queer, autónomos y autogestionados. A partir de las discusiones teóricas expuestas en lo referente a la articulación fe-
minista de cuerpos y tecnologías, y tomando en consideración las contribuciones epis-
temológicas y metodológicas de la etnografía feminista (Gregorio Gil, 2006, 2019), con-
sideré adentrarme en los activismos transfeministas de Barcelona. Durante los años
2017 y 2018 participé en talleres, jornadas y realicé entrevistas. En este texto me centraré en las aportaciones de lxs activistas entrevistadxs, dado
que sus discursos y experiencias me han posibilitado localizar una riqueza de enfoques
y prácticas que, a mi modo de ver, suponen fructíferas y potentes conexiones tecno-
corporales subversivas tanto en el plano digital como en el plano corporal de produc-
ción subjetiva. En este marco, continuando con las críticas y cuestionamientos que los ciberfemi-
nismos, lo queer y los feminismos decoloniales han realizado sobre las tecnologías, los 14 Lola Martínez Pozo transfeminismos también se han vinculado con los ámbitos tecnológicos y desarrollan
reconceptualizaciones de las nociones tradicionales de las tecnologías entendiéndolas
como herramientas que van más allá de lo tecno-maquínico y se extienden e incorpo-
ran los cuerpos y sus intersecciones. En este sentido y en acuerdo con Lucia Egaña (2013) en la politización transfemi-
nista de las tecnologías, los cuerpos, subjetividades y trayectorias se ubican en el cen-
tro de los entramados de poder y resistencias. Abriendo cuerpos y tecnologías desde diálogos
transfeministas Desde mi trabajo de investigación y a partir de las percepciones de algunas de las
personas entrevistadas la vinculación entre transfeminismos y tecnologías no se co-
rrespondería con un movimiento social en sí mismo sino, más bien, se trataría de una
escena propiciada por determinados eventos, trayectorias, redes, colectivos y proyec-
tos que abordan las conexiones entre disidencias sexuales, corporales y tecnológicas,
así como entre feminismos y hacking (Lucía Egaña, entrevista personal, 16 de febrero
de 2017; Alex Hache, entrevista personal, 14 de junio de 2017). Conectar la autonomía tecnológica con las disidencias corporales y
feministas Durante los años setenta comienza la era del uso de las herramientas tecnológicas
como una caja negra (Soria, 2016). La privatización y comercialización del software
por parte de las industrias a través del código cerrado (Stallman, 2004) inaugura una
etapa caracterizada por la generación de usuarixs dependientes y el incremento del po-
der, del control y de la vigilancia (Soria, 2016). Por ello, en el marco de la cultura ha-
cker, el movimiento open source (código abierto) y software libre se basan en abrir los
códigos de programación y en la libertad de estudiarlos, modificarlos y distribuirlos
(Stalllman, 2004). Las prácticas hacker se vinculan con la cultura libre y con la produc-
ción de conocimiento de libre acceso y anticapitalista tanto en relación al software
como al hardware. Es decir, los dispositivos que utilizamos también cuentan con un
código cerrado de fabricación, por lo que el hardware libre consiste en que el código
fuente de su diseño sea abierto, para poder modificarlo o replicarlo mediante compo-
nentes y materiales disponibles, de recicle o bajo coste (Cabañez, 2016). A finales de la
década de los noventa emergen espacios como hacklabs y hackerspaces para experi-
mentar con software y hardware libre, potenciar el acceso libre a las tecnologías y a
Internet, compartir conocimientos y generar proyectos colaborativos (Maxigas, 2012). Concretando en los hacklabs, estos son espacios de experimentación tecnológica que
aparecen en Europa vinculados con movimientos anarquistas y autónomos frecuente-
mente emplazados en espacios okupados (Maxigas, 2012). 15 15 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías Software libre, hardware libre y los espacios de experimentación potencian, por
tanto, la autonomía tecnológica frente a la obsolescencia programada, la comercializa-
ción y el control de las corporaciones industriales a menudo aliadas con las diferentes
estructuras gubernamentales. En este sentido, como me compartía Klau Kinki, la vinculación de los transfemi-
nismos con las tecnologías y las prácticas hacker se dirige a la apropiación y autono-
mía tecnológica para generar y colectivizar nuestras propias herramientas, evitar la
censura y la dependencia de estructuras tecnológicas hegemónicas y patriarcales (En-
trevista personal, 1 de marzo de 2017). En esta línea, a continuación, recojo las aporta-
ciones y proyectos de las personas entrevistadas en la medida que interpreto estable-
cen conexiones entre la autonomía tecnológica y las disidencias feministas y corpora-
les. Conectar la autonomía tecnológica con las disidencias corporales y
feministas Durante el desarrollo de trabajo de campo me he aproximado a la autonomía tec-
nológica feminista a partir de las aportaciones de Alex Hache y su trabajo con el colec-
tivo Donestech (http://donestech.net/). Este proyecto desarrolla diversas actividades en
el marco de la investigación, la formación y la creación ciberfeminista. Concretando en
la formación, desde Donestech se realizan talleres en materia de producción audiovi-
sual, software libre u otras herramientas alternativas dirigidos a mujeres, feministas y
personas lgtbiq. Asimismo, trabajan herramientas y metodologías en torno a la priva-
cidad y seguridad digital para contrarrestar las violencias on-line mediadas por las TIC
(Alex Hache, entrevista personal, 14 de junio de 2017). Otro proyecto que refleja la articulación con la autonomía tecnológica fue Minipi-
mer.tv (https://minipimer.tv/), del cual Lucía Egaña y Veronica Lahitte formaban parte. Este proyecto no se autodenomina transfeminista pero las trayectorias de algunas de
sus integrantes se desarrollaban en vinculación con los transfeminismos (Lucía Egaña,
entrevista personal, 16 de febrero de 2017). El colectivo empezó como un proyecto residente en Hangar trabajando a través de
streaming con software libre y dando soporte para la transmisión en directo de dife-
rentes eventos como La Muestra Marrana (Lucía Egaña, entrevista personal, 16 de fe-
brero de 2017). Verónica Lahitte me compartió parte del proceso, ejes y metodologías de trabajo
del colectivo Minipimer.tv. Donde además de streaming trabajaban la tecnología y el
arte mediante la investigación, grupos de estudio, la realización de talleres, instalacio-
nes y el desarrollo de hardware y software libre. Desde las experiencias compartidas
por Verónica Lahitte , Minipimer se orientaba a hacer un cruce entre el espacio de la
investigación y el espacio de las herramientas libres a través de grupos horizontales de 16 Lola Martínez Pozo trabajo, funcionando como un nexo donde se encontraban diversas trayectorias y pro-
yectos. De manera más concreta, el diálogo con Verónica me amplió la reflexión sobre
cuerpos y tecnologías libres, a partir de la experiencia del grupo de estudio, donde uno
de los bloques abordados implicaba la investigación y producción de herramientas li-
bres en relación a los cuerpos (Entrevista personal, 11 de marzo de 2017). Conectar la autonomía tecnológica con las disidencias corporales y
feministas Por otro lado, Beka Iglesias me trasladaba su trabajo (https://geekshabeka.ho-
tglue.me/) que explora la conexión cuerpo y tecnología en el marco de los transfemi-
nismos y el hacking a través de la mediación tecnocultural, la activación y coordina-
ción de eventos, las tecnologías autónomas, y el desarrollo de performances, instala-
ciones interactivas y dispositivos que derivan de investigaciones colaborativas con tec-
nologías libres y de código abierto (Entrevista personal, 30 de marzo de 2017). Centrándome en sus aportaciones en relación a la autonomía tecnológica y la me-
diación tecnocultural, los diálogos con Beka Iglesias me han permitido compartir su
trabajo donde la vinculación entre lo hacker, los feminismos y los transfeminismos se
ha desarrollado de forma articulada desde el inicio de sus colaboraciones con diversos
movimientos sociales, grupos políticos, redes o en los diversos eventos que ha coordi-
nado. Tales diálogos me han trasladado a experiencias que conectan la autonomía tec-
nológica y los feminismos mediante su trabajo de desarrollo de infraestructuras tecno-
lógicas autónomas en diferentes grupos feministas. En este sentido de vincular los feminismos y la autonomía tecnológica, Beka Igle-
sias me compartía su trabajo en relación a los servidores feministas, en tanto que im-
pulsora y administradora de uno de ellos, Anarcha Server. Un servidor que dota de una
infraestructura autónoma en Internet a proyectos políticos feministas y fue desarrolla-
do en el primer encuentro Tranhackfeminista (Entrevista personal, 30 de marzo de
2017). Así mismo, a través de su trayectoria en Generatech o como coordinadora de di-
versos eventos como Summerlabs, los encuentros con Beka Iglesias me hicieron parti-
cipe de diferentes experiencias relacionadas con su trabajo en mediación tecnocultural. Ésta se dirige a generar espacios de intercambio, contaminación y contagio entre per-
sonas y colectivos procedentes del ámbito de las tecnologías libres, por un lado, y per-
sonas que trabajan otras temáticas o vinculadas a diferentes grupos feministas o movi-
mientos sociales, por otro lado, con objeto de activar procesos de construcción colecti-
va de conocimientos y conexiones entre proyectos políticos (Entrevista personal, 30 de
marzo de 2017). 17 17 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías Además, este proceso de investigación me ha trasladado diversas experiencias de
politización de espacios tecnológicos libres como hacklabs, debido a la predominante
normatividad cisheteropatriarcal y a la ausencia de crítica a las jerarquías y relaciones
de poder. Conectar la autonomía tecnológica con las disidencias corporales y
feministas Politización de espacios que gira en torno a problematizar el género, la se-
xualidad, el cuerpo, la raza, la clase, la capacidad, etc., más allá de la licencia y el códi-
go libre. En este último sentido me he acercado a iniciativas que han activado otros espa-
cios y laboratorios donde confluyen la experimentación tecnológica y corporal, la pro-
ducción de conocimientos y el aprendizaje colectivo con los transfeminismos y con
trayectorias de disidencia corporal, sexual y migrante. Al respecto, es un referente la
trayectoria compartida por Klau Kinki (Entrevista personal, 1 de marzo de 2017) acerca
de la activación y desarrollo de Mutanger. Laboratorio Tóxico de Alta Tensión (https://
mutangerlab.wordpress.com/) y Pechblenda, un hacklab transhackfeminista (http://pe-
chblenda.hotglue.me/). Así mismo, Quimera Rosa es un laboratorio de investigación y experimentación
sobre cuerpo y tecnología (http://quimerarosa.net/). Desde perspectivas posidentitarias
y transfeministas, inspiradas en el cyborg de Haraway, me compartían su trabajo con
el cuerpo y la producción de subjetividades mediante diferentes herramientas y pro-
yectos transdisciplinares que conectan ciencia, arte, tecnología y hacking (Ce, entre-
vista personal, 28 de marzo de 2017). Concretando en su trabajo con los talleres El cuerpo como instrumento sonoro post-
género, este workshop es una propuesta para experimentar lo cyborg desde la mezcla
de cuerpo y sonido. Para ello, a través de la construcción de un dispositivo electrónico
(BodyNoise Amp) que genera sonido mediante el contacto y se emplaza en el cuerpo a
modo de prótesis, experimentan y producen otras subjetividades resultado del aparato
sonoro como extensión corporal. Desde estos talleres trabajan con metodologías DIY
(Do it yourself), DIT (Do it together) y DIWO (Do it with others) para generar una re-
lectura y experimentación con las tecnologías como producción de subjetividades no
normativas (Ce, entrevista personal, 28 de marzo de 2017). Asimismo, su trabajo con
electricidad y sonido deriva de los diálogos con el ámbito hacker y open source, de tal
forma que el dispositivo BodyNoise AMP se desarrolla con tecnologías libres, recicla-
bles y accesibles (Kina, entrevista personal, 28 de marzo de 2017). En esta línea de politización transfeminista de la autonomía tecnológica e inclu-
sión de cuerpos no normativos, en agosto de 2014 se desarrolló el primer Transhackfe-
mifest en la colonia ecoindustrial postcapitalista de Calafou (Barcelona). Conectar la autonomía tecnológica con las disidencias corporales y
feministas Este encuen-
tro Transhackfeminista (THF) fue resultado de las colaboraciones entre Pechblenda, 18 Lola Martínez Pozo Donestech, individualidades colectivas de Calafou y de las redes heredadas del Ecleptic
Tech Carnival, donde se renombró y replanteó este evento sobre mujeres, género y tec-
nologías para incluir otros cuerpos y subjetividades políticas (Klau Kinki, entrevista
personal, 1 de marzo de 2017). A este primer THF le siguió el segundo encuentro Transhackfeminista en México
bajo el nombre de “Llamado (Error 404) Tecnologías disidentes no encontradas” THF! Mx2015/pUEBLA, celebrado en julio de 2015 en el Centro Comunitario ADA de la ciu-
dad de Puebla. Por su parte, la tercera edición del encuentro Transhackfeminista fue
desarrollado del 8 al 22 de agosto del 2016 en Montreal. Desde la experiencia de Anamhoo, como participante en las dos primeras edicio-
nes del transhackfemifest y organizadora de la segunda, tales encuentros transhackfe-
ministas han contribuido a abordar la participación de mujeres, queer, trans*, migran-
tes y racializadxs en los ámbitos tecnológicos y en el hacking. Así mismo, han poten-
ciado la crítica a las narrativas hegemónicas y a las desigualdades presentes en las
áreas tecnológicas en base al género, la sexualidad, la clase o la raza. Por otro lado, es-
tos espacios han contribuido a generar infraestructuras tecnológicas autónomas, como
los servidores feministas, y a la descolonización tecnológica (Anamhoo, entrevista per-
sonal, 28 de febrero de 2017). Postpornografía: tecnologías del género y de la sexualidad En este proceso de investigación me he re-encontrado con narrativas, prácticas y re-
presentaciones postpornográficas desde una nueva perspectiva que dialoga los cuerpos
y las tecnologías, no exclusivamente porque las producciones postpornográficas están
permeadas por diversos aparatos tecnológicos (audiovisuales, digitales, electro-mecá-
nicos, prótesis, etc.), sino también porque los cuerpos, el género y las sexualidades son
considerados, en sí mismos, como tecnológicos. En este último sentido que interpreta los cuerpos desde una perspectiva tecnoló-
gica, en el marco de las prácticas postpornográficas, Lucía Egaña (entrevista personal,
16 de febrero de 2017) me compartía su trabajo como organizadora de La Muestra Ma-
rrana, directora del documental Mi Sexualidad es una Creación Artística (2011) e inves-
tigadora sobre las prácticas postpornográficas en Barcelona (Egaña, 2015. Trayectoria
posteriormente reflejada en su trabajo Atrincheradas en la carne (Egaña, 2018). Desde su recorrido Lucía Egaña me trasladaba una lectura de las prácticas pos-
tpornográficas como prácticas hacker que abren y desvelan los códigos normativos de
género y sexualidad para generar múltiples y diversas reprogramaciones, constituyén- 19 19 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías dose el cuerpo como un ámbito de desprogramación (Entrevista personal, 16 de febre-
ro de 2017). Precisamente, la trayectoria de Quimera Rosa comenzó como un trabajo sobre el
propio cuerpo, la propia sexualidad y la subjetividad vinculándose con la emergencia
del postporno y la escena transmaricabollo de Barcelona (Kina, entrevista personal, 28
de marzo de 2017). Parte del trabajo de Quimera Rosa se ha desarrollado desde la pos-
tpornografía, en colaboración con otras redes, donde las prótesis, estética y prácticas
BDSM y dispositivos electrónicos se hallaban presentes en numerosas performances y
proyectos: como O-kaña (junto a Post-op, Mistress Liar y Dj Doroti,) Akelarre Cyborg
(junto a Transnoise), SexosKeleton o Sexus 3 (Ce, entrevista personal, 28 de marzo de
2017). En el anterior contexto, emergería Post-op, un proyecto de investigación y experi-
mentación con cuerpo y postpornografía (http://postop-postporno.tumblr.com/). Al
respecto, Elena Urko me compartía el inició la trayectoria de Post-op como un grupo
que mediante la performance llevaban al espacio público aquello que estaban experi-
mentando en relación al género, la sexualidad, la identidad y el cuerpo. En este senti-
do, el trabajo de Post-op ha estado orientado a desarrollar otros imaginarios, prácticas
y representaciones en torno a sexualidades y cuerpos no normativos desde la propia
experimentación corporal. Postpornografía: tecnologías del género y de la sexualidad Para ello han abordado la postpornografía desde la perfor-
mance, la producción audiovisual y la realización de talleres (Entrevista personal, 18
de octubre de 2017). Biohacking: tecnologías corporales Otra fructífera articulación transfeminista entre cuerpos y tecnologías a la que me he
aproximado a través mi proceso de investigación es el biohacking. El biohacking engloba numerosas prácticas que vinculan la biología con la ética
hacker, desplazando la investigación y experimentación biotecnológica para reformu-
lar la ciencia, la biología y la tecnología de forma colectiva. Los espacios de biohacking
se organizan en torno a tecnologías y herramientas libres para abrir e intercambiar co-
nocimientos, facilitar medios y recursos que permitan investigar colaborativamente y
colectivamente a bajo coste, documentando, habitualmente, estos procesos y resulta-
dos en plataformas web como wiki para que puedan ser replicadxs por otrxs (Pin,
2014). En este sentido, el proyecto de Transplant (http://quimerarosa.net/transplant/) im-
pulsado por Quimera Rosa es un espacio de biohacking transdisciplinar donde, a partir 20 Lola Martínez Pozo de un trabajo de investigación y auto-experimentación corporal, se reflexiona y gene-
ran transiciones entre lo humano y lo vegetal deconstruyendo las identidades y produ-
ciendo otras subjetividades (Kina, entrevista personal, 28 de marzo de 2017). Trans-
plant se materializa en varios tentáculos, uno de ellos es un proceso de modificación
de subjetividad mediante la implantación intravenosa de clorofila en el cuerpo. Y otro,
consiste en repensar el virus del papiloma humano, las sexualidades y cuerpos no nor-
mativos mediante la apropiación y experimentación de conocimientos y técnicas bio-
médicas, desvelando, replicando, difundiendo y abaratando la terapia fotodinámica
para tratar los condilomas derivados del VPH (Ce, entrevista personal, 28 de marzo de
2017). Asimismo, este proyecto es colectivizado e implica la participación de otrxs per-
sonas a través del trabajo en diferentes biolabs, los talleres y las performances. Por otro lado, Gynepunk (https://gynepunk.tumblr.com/) es un proyecto de bioha-
cking derivado del laboratorio transhackfeminista Pechblenda, anteriormente mencio-
nado, que desarrolla talleres nómadas dirigidos a descolonizar y hackear el cuerpo, la
ginecología hegemónica y la biomedicina. Klau Kinki me compartía cómo llegó a Gy-
nepunk a través de un trabajo de investigación de los orígenes de la ginecología mo-
derna vertebrada sobre la mutilización, experimentación y explotación de tres esclavas
negras,
materializado
en
el
proyecto
AnarchaGland
(https://
anarchagland.hotglue.me/). Ello, junto con la experiencia de violencia vivida en los es-
cenarios de la ginecología biomédica, la impulsó, junto con Paula Pin, a activar este
proyecto. Biohacking: tecnologías corporales Desde los talleres promovidos por Gynepunk se desarrollan conocimientos
en relación a VPH, cáncer de útero, aborto, ETS, infecciones, etc., técnicas de docu-
mentación, análisis y diagnóstico e instrumentos de laboratorio DIY y DIWO (Entre-
vista personal, 1 de marzo de 2017). Para Klau Kinki, la metodología de estos talleres se basa en el conocimiento colec-
tivo desde las experiencias corporales y en construir y hackear nuestras propias técni-
cas. Asimismo, me compartía que la intencionalidad de estos talleres también es el
contagio, es decir, que emerjan laboratorios DIT por todos los lugares para que estos
conocimientos y técnicas sean accesibles y desarrollados por todxs, por migrantes, tra-
bajadorxs sexuales, bolleras, mujeres, maricas, etc. (Entrevista personal, 1 de marzo de
2017). Conclusiones Las articulaciones entre cuerpos, tecnologías y poder en las ciber-tecno sociedades del
capitalismo tardío derivan hacia nuevas formas de tecnopolítica. En este contexto, des-
de la década de los setenta, los cuerpos y las tecnologías han sido protagonistas de 21 Error en el sistema//Ctrl+Alt+Supr: Conectar cuerpos y tecnologías múltiples debates donde diversos feminismos han contribuido a su articulación crítica. Especialmente a partir de la imaginería y política cyborg, propuesta por Haraway, que
se constituyó como un punto de inflexión para el desarrollo de posfeminismos orienta-
dos a la lectura crítica y reapropiación tecnológica. Los emergentes ciberfeminismos desarrollaron articulaciones con las tecnologías
desde una visión utópica, decorporeizada y centrada en el género. No obstante, los de-
bates e interpelaciones han dado lugar a la incorporación de los cuerpos y sus inter-
secciones sociales en la articulación política con la tecnología. Desde mi punto de vista, las críticas procedentes de las genealogías feministas de-
coloniales y queer en relación a la exclusión e incorporación de otras subjetividades,
corporalidades y sexualidades han supuesto retos para los ciberfeminismos llevándolos
a explorar las intersecciones entre cuerpo y tecnología. A partir del anterior marco epistemológico y político he indagado en las conexio-
nes transfeministas entre disidencias corporales y tecnológicas. En este sentido, inter-
preto que éstas abren nuevos horizontes para las articulaciones entre cuerpos y tecno-
logías y entre feminismos y hacking, las cuales identifico como retos a continuar in-
vestigando desde los estudios sociales, tecnoculturales y feministas. Mi proceso de investigación, que en estas líneas he sintetizado destacando las
aportaciones de activistas y proyectos, me ha activado cuestionamientos que me han
supuesto revisar, repensar y ampliar qué entiendo por cuerpos y tecnologías, orientán-
dome a percibir los cuerpos como códigos, como dispositivos, como tecnológicos, y a
entender las tecnologías más allá de las máquinas. Tales aportaciones me han permiti-
do aproximarme a enfoques y prácticas que generan nuevas articulaciones para ha-
ckear las máquinas desde la autonomía tecnológica, para hackear la sexualidad desde
la postpornografía y la subjetividad mediante el biohacking. Ello me ha llevado a desa-
rrollar lecturas de los transfeminismos como prácticas hacker, en la medida en que in-
terpreto que este tipo de experiencias, trayectorias y proyectos se orientan a abrir los
cuerpos y las máquinas, desvelar cómo funcionan para generar otras formas de habi-
tarlos, otras formas de subjetividad. Agradecimientos A Carmen Gregorio Gil, por su trabajo de revisión. A Alex Hache, Beka Iglesias, Klau
Kinki, Anamhoo, Verónica Lahitte, Lucía Egaña, Elena Urko, Ce y Kina, por todas sus
aportaciones. 22 Lola Martínez Pozo Referencias Referencias Álvarez, Marta (2014). Ciberfeminismo: prácticas postidentitarias. M Arte y cultura
Visual, 11, 33-39. Recuperado de
http://www.m-arteyculturavisual.com/2014/11/10/pdf-11-m-
arteyculturavisual/ Bell, David & Kennedy, Barbara M (Eds.). (2000). The Cybercultures Reader. London and
New York: Routledge. bell hooks; Brah, Avtar; Sandoval, Chela; Anzaldúa, Gloria; Levins Morales, Aurora;
Kum-Kum, Bhavnani… Talpade Mohanty, Chandra (2004). Otras
inapropiables. Feminismos desde las fronteras. Madrid: Traficantes de sueños. Braidotti, Rossi (1996). Cyberfeminism with a difference. Recuperado de
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The Personalized Advantage Index: Translating Research on Prediction into Individualized Treatment Recommendations. A Demonstration
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The Personalized Advantage Index: Translating Research
on Prediction into Individualized Treatment
Recommendations. A Demonstration
Robert J. DeRubeis1*, Zachary D. Cohen1, Nicholas R. Forand2, Jay C. Fournier3, Lois A. Gelfand1,
Lorenzo Lorenzo-Luaces1
1 Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, 2 Department of Psychiatry, The Ohio State University,
Columbus, Ohio, United States of America, 3 Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
Abstract
Background: Advances in personalized medicine require the identification of variables that predict differential response to
treatments as well as the development and refinement of methods to transform predictive information into actionable
recommendations.
Objective: To illustrate and test a new method for integrating predictive information to aid in treatment selection, using
data from a randomized treatment comparison.
Method: Data from a trial of antidepressant medications (N = 104) versus cognitive behavioral therapy (N = 50) for Major
Depressive Disorder were used to produce predictions of post-treatment scores on the Hamilton Rating Scale for
Depression (HRSD) in each of the two treatments for each of the 154 patients. The patient’s own data were not used in the
models that yielded these predictions. Five pre-randomization variables that predicted differential response (marital status,
employment status, life events, comorbid personality disorder, and prior medication trials) were included in regression
models, permitting the calculation of each patient’s Personalized Advantage Index (PAI), in HRSD units.
Results: For 60% of the sample a clinically meaningful advantage (PAI$3) was predicted for one of the treatments, relative
to the other. When these patients were divided into those randomly assigned to their ‘‘Optimal’’ treatment versus those
assigned to their ‘‘Non-optimal’’ treatment, outcomes in the former group were superior (d = 0.58, 95% CI .17—1.01).
Conclusions: This approach to treatment selection, implemented in the context of two equally effective treatments, yielded
effects that, if obtained prospectively, would rival those routinely observed in comparisons of active versus control
treatments.
Citation: DeRubeis RJ, Cohen ZD, Forand NR, Fournier JC, Gelfand LA, et al. (2014) The Personalized Advantage Index: Translating Research on Prediction into
Individualized Treatment Recommendations. A Demonstration. PLoS ONE 9(1): e83875. doi:10.1371/journal.pone.0083875
Editor: William C. S. Cho, Queen Elizabeth Hospital, Hong Kong
Received August 17, 2013; Accepted November 9, 2013; Published January 8, 2014
Copyright: ß 2014 DeRubeis 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: Support provided by NIMH grant 2-R01-MH-060998-06, ‘‘Prevention of Recurrence in Depression with Drugs and CT’’ (http://www.nimh.nih.gov). 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: derubeis@psych.upenn.edu
how to combine such predictive information, especially in cases in
which the recommendations from multiple predictors conflict. As
Meehl and colleagues have observed, actuarial approaches are
preferred to clinical judgment in such cases [14], yet the potential
for actuarial methods to inform personalized medicine by making
prescriptive recommendations has not been realized.
In 1996, Barber and Muenz introduced a ‘‘matching method’’
to mental health researchers, with data from a randomized
comparison of two different psychotherapies, cognitive behavioral
therapy and interpersonal therapy. Utilizing three pre-treatment
variables (marital status, avoidant personality style, and obsessive
personality style), they calculated for each patient a score on a
‘‘matching factor [15].’’ On average, patients with positive
matching scores fared better in one of the two treatments, whereas
those with negative scores fared better in the other. Based on these
Introduction
The call for an increased focus on ‘‘personalized medicine [1] ’’
is being met by efforts across medical fields to identify predictors of
treatment response [2]. In mental health, this includes recent
attempts to identify genetic [3–6] and neuroimaging [7–9] indices
that predict differential response to pharmacological interventions.
Variables from other domains (e.g., treatment history, course,
comorbidities) that predict differential response to pharmacologic
versus psychological treatments have also been identified [10–13].
Insofar as pretreatment patient characteristics predict differential
response to the interventions, patient outcomes can be optimized
by the systematic use of predictive information. Published reports
of prescriptive relationships tend to be limited to examinations of
single pre-treatment variables or of multiple variables that are each
considered in isolation. Clinicians are left with little guidance as to
PLOS ONE | www.plosone.org
1
January 2014 | Volume 9 | Issue 1 | e83875
Making Personalized Treatment Recommendations
end-HRSD resulted in distributions of raw scores and residuals
that did not differ from normality, allowing the use of the standard
linear regression models [21]. The values we report from the
models were squared so that they would be interpretable in terms
of the original HRSD scale.
findings, the authors recommended that clinicians consider these
variables when deciding which of these treatments to recommend
their patients. Their effort was a positive step towards personalizing treatment for depression, but neither their statistical
approach nor the clinical recommendations it generated has been
adopted by mental health researchers or practitioners.
In this paper we illustrate an approach to the use of predictive
information that builds upon Barber and Muenz’s efforts. The
methods we describe produce point predictions of symptom
severity at post-treatment for each individual in each of two
interventions. The comparison of the two estimates yields an
index, which we call the Personalized Advantage Index (PAI). The
PAI identifies the treatment predicted to produce the better
outcome for a given patient, and it provides the patient with a
quantitative estimate of the magnitude by which that treatment is
predicted to outperform the other. The utility of the approach is
then tested by comparing the outcomes of those who had been
randomly assigned to their indicated treatment versus those
assigned to their non-indicated treatment.
Selection of the variables to include in the models
Nine variables were found to be either prognostic or prescriptive
in our sample. The details concerning these findings can be found
in three published works [10–12]. All nine variables were
measured prior to randomization. Four of these were prognostic
[22], in that they predicted end-HRSD scores irrespective of
treatment. These were: 1) pre-treatment HRSD, where higher
scores predicted higher end-HRSD scores; 2) Chronic versus Nonchronic course of major depressive disorder, where chronicity was
associated with poorer outcome; 3) age, where older patients fared
more poorly [12]; and 4) low (,100), middle (. = 100 and ,115),
or high (. = 115) scores on the Shipley Institute of Living Scale, a
brief measure of intellectual functioning [23], where higher scores
predicted better outcomes.
The other five variables were identified as prescriptive in that they
predicted different outcomes depending on the treatment (ADM
versus CBT) that was received. These variables were detected as a
statistical interaction between that variable and treatment (ADM
versus CBT): 1) presence (favoring ADM) versus absence (favoring
CBT) of comorbid personality disorder [11]; 2) married or
cohabiting (favoring CBT) versus single; 3) employed or not
expected to work versus unemployed (favoring CBT); 4) number of
stressful life events (more events favoring CBT) [12]; 5) number of
prior antidepressant trials, capped at 2 trials (more trials favored
CBT) [10]. Like any prescriptive variable, these characteristics also
produced general effects on outcome, on average across treatments
[24]. The direction of these effects was as follows: being married,
employed, or having a higher number of life events predicted
lower end-HRSD scores, whereas having a personality disorder or
having had a larger number of prior medication attempts
predicted higher end-HRSD scores. Descriptive statistics for the
sample as a whole and for each treatment condition separately are
provided in Table 1 for each of the nine predictive variables.
There were no significant differences between ADM and CBT on
any of the variables (t-test for continuous variables, chi-square for
categorical variables; all p’s .0.1).
Methods
The approach we introduce and describe in this section of the
paper can be used in any context in which patients have been
randomized to two or more treatment conditions. For illustrative
purposes, we use data drawn from a randomized comparative trial
of cognitive behavioral therapy (CBT) versus the antidepressant
medication (ADM) paroxetine in the treatment of outpatients with
moderate to severe Major Depressive Disorder [16]. Each
treatment was provided for 16 weeks. The trial was conducted
at the University of Pennsylvania and Vanderbilt University
during the period 1996 to 2002. The sampling method and
outcomes have been described elsewhere [16,17]. The data are
hosted at the University of Pennsylvania. The protocol for the
study, titled ‘‘Cognitive Therapy and Pharmacotherapy in Major
Depression,’’ was approved by the respective institutional review
boards at the University of Pennsylvania, Philadelphia (Protocol
#034900), and Vanderbilt University, Nashville, Tennessee
(Protocol #7638). The data were de-identified before use in these
analyses. Following the approval of an appropriate request, the
data can be anonymized and provided to researchers. Written
consent was given by the patients for their information to be stored
in the university database and used for research.
To simplify the presentation of our approach, we focus on data
from the 154 patients for whom end-of-treatment scores were
available, in either CBT (N = 50 of 60 assigned) or ADM (N = 104
of 120 assigned). End-of-treatment scores were calculated as the
average of the final two scores (typically weeks 14 and 16) on the
primary outcome measure, the 17-item version of the clinicianrated Hamilton Rating Scale for Depression (end-HRSD) [18].
The HRSD is the most commonly used assessment of depression
symptom severity in depression treatment outcome research. In
the present study, pre-treatment scores ranged from 20 to 36,
where scores of 20 to 22 indicate ‘‘moderate’’ severity and higher
scores indicate ‘‘severe’’ levels of depressive symptoms [19].
Differences of 3 or more points on the HRSD are considered to be
‘‘clinically significant [19].’’ In placebo-controlled randomized
trials, medications tend to result in HRSD scores that are 2 to 3
points lower than placebo, on average, over the typical 4–8 week
comparison period. This difference is associated with d-type effect
size estimates of approximately 0.3 to 0.4 [20].
The end-HRSD scores in this sample were not normally
distributed, which resulted in non-normal residuals when standard
regression models were calculated. A square root transformation of
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Generation of the predicted end-HRSD scores
We analyzed our data in MATLAB (The Mathworks Inc.,
Natick, MA). Using the GLMFIT procedure, we generated a
prediction of the end-HRSD score for each participant in each of
the two treatments. Hereafter we will refer to the prediction of the
end-HRSD score for the treatment the participant actually
received as the ‘‘factual prediction.’’ The ‘‘counterfactual prediction’’ was the estimate of the participant’s end-HRSD score in the
treatment he or she did not receive. Both predictions were
generated by the same model, in which end-HRSD was the
dependent variable.
To generate these predictions, we used techniques employed in
leave-one-out cross-validation [25,26]. The leave-one-out procedure
(also known as a jackknife [27]) required the creation of 154 models,
each with a sample size of 153. Main effects for ‘‘Treatment’’ and
the prognostic and prescriptive variables, as well as terms
representing the interactions of Treatment and the prescriptive
variables, served as independent variables. For each of the 154
patients, the factual prediction was calculated by entering the
patient’s observed values on all of the independent variables into
the prediction model. All values were centered using Kraemer et
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Making Personalized Treatment Recommendations
Table 1. Descriptive statistics for baseline variables.
Total (n = 154)
ADM (n = 104)
CBT (n = 50)
Role
Variable
Mean or %
SD
Mean or %
SD
Mean or %
SD
Prognostic
Intake-HRSD
23.8
3.2
23.8
3.2
23.7
3.4
Prognostic
Chronic Subtype
55.2%
—
58.7%
—
48.0%
—
Prognostic
Age
40.3
11.3
40.0
11.2
40.9
11.6
Prognostic
IQ
Lower IQ (IQ,100)
15.6%
—
19.2%
—
8.0%
—
Mid IQ (100, = IQ,115)
52.6%
—
52.9%
—
52.0%
—
Higher IQ (IQ. = 115)
31.8%
—
27.9%
—
40.0%
—
Prescriptive
Married
37.7%
—
39.4%
—
34.0%
—
Prescriptive
Employed
85.1%
—
86.5%
—
82.0%
—
Prescriptive
Comorbid Personality Disorder
48.1%
—
51.0%
—
42.0%
—
Prescriptive
Number Life Stressors Reported
6.6
4.8
6.7
5.1
6.3
4.3
Prescriptive
Number Prior ADM Trialsa
0.7
0.8
0.7
0.8
0.8
0.8
ADM = Antidepressant Medication. CBT = Cognitive Behavioral Therapy. HRSD = Hamilton Rating Scale for Depression.
a
= Capped at 2; sample breakdown for number prior medications: 0 = 52% (55% in ADM, 46% in CBT), 1 = 24% (21% in ADM, 30% in CBT), 2 or more = 24% (24% in
ADM, 24% in CBT).
doi:10.1371/journal.pone.0083875.t001
al. ’s recommendations [24], whereby continuous measures were
mean-centered, and dummy code values for dichotomous
variables, including Treatment, were set at K and -K. We then
computed each patient’s counterfactual prediction by substituting
the value of the other treatment (either K or -K depending on the
patient’s actual assignment) in the Treatment main effect term, as
well as in all the terms representing the interactions of Treatment
and the prescriptive variables. Because each model is estimated
absent any information about the patient whose scores are to be
predicted, the predictions are considered to contain little or no bias
[25]. In essence, the accuracy of the set of predictions is what
would be expected if the procedure had been used to predict
outcomes in another set of patients who were drawn randomly
from the same population of patients, assuming they would be
assigned to the same treatments in the same way (i.e., randomly)
[27].
A worked example of the approach
Tables 2, 3, 4 illustrate how the procedure generated the
predictions for CBT and ADM, using one of the 154 patients from
the sample. This patient was selected because the PAI, the
observed end-HRSD, and the prediction error were near the
mean for the sample. Table 2 shows how this patient’s values on
two of the four prognostic variables (low intake HRSD; high
intellectual level) predicted better outcome (i.e., lower end-HRSD
scores, as indicated by negative values of a*b), whereas values on
the other two prognostic variables (older; chronic course) predicted
poorer outcome for this patient. As can be seen in the lower
portion of Table 2, the patient’s values on three of the prescriptive
variables (unmarried, unemployed, two prior ADM trials)
predicted poorer outcome irrespective of treatment. On two
others (three life stressors, no comorbid Personality Disorder), the
values of a*b are close to zero, indicating little influence on their
own in the prediction of outcome.
Table 3 shows how treatment affects the prediction of outcome,
both as a main effect and in interactions with each of the five
prescriptive variables. This patient’s values on three of the five
prescriptive variables indicated CBT as the Optimal Treatment
(unemployed, no comorbid Personality Disorder, two prior ADM
trials) as reflected in the negative b*c values. Values on the other
two variables indicated ADM as the Optimal Treatment
(unmarried, three life stressors), reflected in negative b*m values.
The model’s outputs (see Table 4) indicate that the patient’s
predicted end-HRSD is 13.0 in CBT and 18.6 in ADM. The
Personalized Advantage Index (PAI) for this individual is 5.6 in
favor of CBT; it represents the difference between the endpoint
scores predicted for each treatment.
Properties of the predictions that will be examined
Using the predicted scores, we estimated: (1) the ‘‘true error’’ of
the factual predictions (i.e., the mean of the absolute value of the
difference between the observed scores and factual predictions); (2)
the standard error of the set of predictions; and (3) the magnitude
of the predicted difference, for each patient, of receiving the
treatment with the greater predicted benefit (Optimal) versus the
other (Non-optimal) treatment. This last value is an index of
‘‘predicted advantage’’ which we call the Personalized Advantage
Index (PAI). Because each individual is left out of the model from
which their end point values are predicted, and because the
Optimal treatment predicted for an individual is not tied to the
treatment actually received, we can take advantage of the initial
randomization of patients to treatments in order to test the utility
of the PAI by comparing the mean observed difference, in endHRSD units, between the set of patients who had been randomly
assigned to their Optimal treatment versus those who had been
assigned to their Non-Optimal treatment.
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Results
The true error of the end-HRSD score predictions (the average
absolute difference between the predicted and actual scores, across
the 154 patients) was 4.9. The standard error of prediction was
6.2. Figure 1 displays the distributions of the predicted end-HRSD
scores for the Optimal and Non-Optimal treatments across the
154 patients.
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Making Personalized Treatment Recommendations
Table 2. How the weights associated with prognostic and prescriptive variables combine with a patient’s values to contribute to
the calculation of the patient’s Personalized Advantage Index.
Variable
Patient’s value
Transformation
Input value (a)
Beta in LOO model (b)
a*b
Intercept
n/a
n/a
1
3.15
3.15
Intake-HRSD (M = 23.8)a
20
Mean-centered
23.75
0.05
20.20
Age (M = 40.3)a
56
Mean-centered
15.67
0.01
0.20
IQ (Low, Middle, High)a
High
21,0,1
1
20.18
20.18
Chronic Subtypea
Yes
2.5, .5
0.5
0.39
0.19
Marital Statusb
Unmarried
2.5, .5
20.5
20.45
0.22
Employment Statusb
Unemployed
2.5, .5
20.5
20.50
0.25
Number Life Stressors Reported (M = 6.57)b
3
Mean-centered
20.65
20.07
0.04
Comorbid Personality Disorderb
No
2.5, .5
20.5
0.17
20.08
Number Prior ADM Trials (capped at 2; M = 0.72)b
2
Mean-centered
1.28
0.28
0.35
Sum a*b
3.96
Total, for use in end-HRSD predictionsc
LOO = Leave One Out. ADM = Antidepressant Medication. HRSD = Hamilton Rating Scale for Depression.
a
= Prognostic variable.
b
= Prescriptive variable.
c
= See Table 4.
doi:10.1371/journal.pone.0083875.t002
Optimal treatment. Given that in 40% of the sample the Optimal
versus Non-Optimal difference was quite small, it is not surprising
that the observed difference between the Optimal and NonOptimal means in the full sample was relatively small; they differed
at the level of a nonsignificant trend (mean difference = 1.78;
pooled SD = 6.38; t = 1.73, 152, p = .09; d = .28, 95% confidence
interval 2.04 to .60). The right side of the figure gives the means
for the 60% of the sample for whom the predicted advantage of
the Optimal treatment was clinically significant. Here, the
observed mean difference was both clinically and statistically
significant (mean difference = 3.58; pooled SD = 6.12; t = 2.84,
90, p = .006; d = .58, 95% confidence interval .17 to 1.01).
The distribution of PAI scores is shown in Figure 2. The average
PAI was 4.2 (SD = 2.9), representing a 4.2 point difference in endHRSD scores between the Optimal treatment (predicted
mean = 7.4, SD = 3.0) versus the Non-Optimal treatment (predicted mean = 11.6; SD = 3.9). Note that a patient’s PAI can be as
low as 0, which would occur if the same outcome is predicted for
both treatments, irrespective of whether high or low end-HRSD
scores are predicted. As can be seen, whereas for some patients the
predicted advantage of being assigned to their Optimal treatment
was large, for others it was very small. For 62 (40%) of the patients,
the PAI did not meet the National Institute for Health and Care
Excellence (NICE) criterion (three points on the HRSD) for a
‘‘clinically significant’’ difference. For such patients, little weight
would be given to the model’s predictions in a treatment selection
decision; other factors (e.g., cost or patient preference) would likely
be used to guide treatment. We test our approach, therefore, using
the full sample of 154 patients as well as a reduced sample of those
92 patients (60%) whose PAI was ‘‘clinically significant.’’
The left side of Figure 3 shows, for the full sample, a comparison
of the average end-HRSD score for those assigned randomly to
their Optimal treatment versus those assigned to their Non-
Discussion
The method we have illustrated can be used to optimize
treatment selection in any context in which: a) more than one
intervention is under consideration, b) comparative outcome data
are available, and c) pre-treatment factors can be identified that
predict outcomes differentially across the interventions. In our
example, a randomized comparison of cognitive behavioral
Table 3. The treatment (Tx) main effect and interactions of Tx with the prescriptive variables.
Tx = CBT
Variable
Beta in LOO model (b)
Input (c)
Tx = ADM
b*c
Input (m)
b*m
0.21
CBT (0.5) or ADM (20.5)
20.42
0.5
20.21
20.5
Tx*Marital Status
21.10
20.25
0.27
0.25
20.27
Tx*Employment Status
1.03
20.25
20.26
0.25
0.26
Tx*Life Stressors
20.35
20.32
0.11
0.32
20.11
Tx*Personality Disorder
0.66
20.25
20.16
0.25
0.16
20.17
0.64
20.11
20.64
0.11
Sum b*c
20.35
Sum b*m
0.35
Tx*Prior ADMs
Total, for use in end-HRSD predictions
a
LOO = Leave One Out. CBT = Cognitive Behavioral Therapy. ADM = Antidepressant Medication. Tx = Treatment. HRSD = Hamilton Rating Scale for Depression.
a
= See Table 4.
doi:10.1371/journal.pone.0083875.t003
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Making Personalized Treatment Recommendations
treatments is likely to be large, as well as those for whom the
predictions are similar and, thus, should not be given substantial
weight in a choice between the two treatments. In applications of
this approach, other factors, such as patient preference or
treatment costs would likely weigh heavily in treatment selection
decisions, when the PAI is small. It is important to emphasize that
both ADM and CBT are evidence-based treatments for depression. Thus, all patients, including those identified as having
received what for them was their Non-optimal treatment, received
what is considered, absent any contraindications, a valid and
appropriate treatment.
Although we could not conduct a prospective test with our data,
we approximated a critical feature of such a test by leaving each
patient’s data out of the model that was used to make predictions
for him or her. Thus, the benefits of treatment optimization we
observed should provide a good estimate of the advantage that
would have accrued to future patients from the same population
had the prediction algorithm been used to assign them to the same
treatments we studied. In a real world clinic, a consecutive series of
patients would be randomized to one of two evidence-based
treatments. Patient outcomes would be tracked, and baseline
characteristics would be used to generate the predictive algorithm
that would inform treatment decisions for future patients. The
weight given to each new patient’s treatment recommendation
would depend on the magnitude of the PAI generated by the
algorithm.
A true prospective test of our approach would begin with a
randomized trial of two interventions. A predictive model, as we
have described here, would be derived from the data obtained
during the randomized trial. The model would then be tested in
sample of patients who seek treatment in the same clinic in which
the randomized trial was performed, using the same treatments.
Outcomes of patients who are randomized to one of two
conditions would then be compared: (a) those whose treatment is
determined by random assignment, as in the first phase of the
study; versus (b) those whose assignment is determined by the
output of the predictive algorithm that was generated in the first
phase.
Table 4. How the estimates from Tables 2 and 3 combine to
produce a patient’s estimated end-HRSD scores in CBT and
ADM, respectively, and the PAI.
Tx = CBT
Value
Source
Value
Tx = ADM
3.96
,—Sum a*b
Table 2
Sum a*b—.
3.96
20.35
,—Sum b*c
Table 3
Sum b*m—.
0.35
3.6
Sum of sums
4.3
13.0
Predicted end-HRSDa
18.6
PAI = 5.6, favoring CBT
Tx = Treatment. CBT = Cognitive Behavioral Therapy. ADM = Antidepressant
Medication. HRSD = Hamilton Rating Scale for Depression. PAI = Personalized
Advantage Index; the difference between the predictions for CBT and ADM, in
end-HRSD units.
a
= The square of the model output.
doi:10.1371/journal.pone.0083875.t004
therapy versus medications for depression, the treatments
produced similar average levels of symptom reduction [16]. We
used our approach to predict, for each patient, which treatment
was more likely to lead to a better outcome. We then examined the
results of the natural experiment that occurred whereby some
patients had been randomized to their Optimal treatment and
some to their Non-optimal treatment. In line with our hypothesis,
patients randomized to their Optimal treatment tended to fare
better than those who were randomized to their Non-optimal
treatment.
When we restricted our test of the method to those for whom
the PAI was clinically significant, the advantage of assignment to
the Optimal treatment was, in effect size terms, approximately
twice the difference reported in a recent systematic review of
antidepressant drug versus placebo comparisons [28], and larger
than the average effect size observed between control and active
treatments utilized in general medical contexts [29]. This result
exemplifies an important feature of the approach: the ability to
identify individuals for whom the difference in outcome between
Figure 1. Frequency histogram showing predicted end-HRSD scores for each patient in their Optimal and their Non-Optimal
treatment, as indicated by the treatment selection algorithm.
doi:10.1371/journal.pone.0083875.g001
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Figure 2. Frequency histogram showing Personalized Advantage Index (PAI) scores for all patients in the sample.
doi:10.1371/journal.pone.0083875.g002
It is often challenging to identify prescriptive variables that will
replicate in a different population. Several features of the study
from which the present data were drawn likely contributed to the
strong prescriptive findings we obtained, and might also support a
successful effort to replicate them. Cognitive behavioral therapy
and antidepressant medications are both effective interventions for
depression, but they are very different methods of treatment that
likely work through different mechanisms [30]. We therefore
expected to be able to identify prescriptive variables, especially
given that several of the pre-treatment variables were included in
Figure 3. Comparison of mean end-HRSD scores for patients randomly assigned to their Optimal treatment versus those assigned
to their Non-Optimal treatment. The left side gives the results for the full sample. The right side includes only patients for whom the algorithm
predicted a clinically significant advantage on the PAI of $3.
doi:10.1371/journal.pone.0083875.g003
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Making Personalized Treatment Recommendations
the intake battery precisely because prior research had suggested
that they predict differential response to these treatments. In
comparisons of two treatments that work through similar
mechanisms, such as might be true of two medications that
operate on similar neurotransmitter systems, the power of this
approach, or any approach that is contingent on the presence of
significant treatment-by-patient-characteristic interaction effects,
would likely be limited.
The variables in our example comprised information from
structured interviews, self-report questionnaires, and demographic
forms, any of which can readily be obtained in a routine clinical
setting. Other groups have begun to explore the potential of
genetics or neuroimaging to inform treatment decisions in
depressed patient populations [5,31–33]. In pharmacogenetic
and pharmacogenomic studies, perhaps because the interventions
included are mechanistically similar, the effects have thus far been
small [6]. In principle, however, information from multiple
different kinds of measures could be combined using the
procedures we describe above in order to provide more accurate
predictions than could be generated from any one predictor
considered in isolation.
The potential for neuroimaging-based treatment selection was
evidenced recently in an investigation by Mayberg and colleagues,
who explored the associations between pre-treatment brain
activation and outcomes in a randomized comparison of CBT
and ADM [32]. They reported that indexes of brain activity in six
regions, as assessed with positron emission tomography, were
associated with differential response to the two treatments. They
focused on their strongest finding, which was obtained from the
right anterior insula. Patients who remitted with CBT, as well as
those who did not remit with ADM, exhibited relatively low
activity in this region, whereas those who remitted in ADM, as
well as those who did not remit in CBT, exhibited relatively high
activity in that area. These findings represent a major contribution
to prediction of treatment response. However, they examined each
of the six indexes in isolation, and thus did not make maximal use
of the predictive information provided from the multiple brain
regions. Moreover, their approach does not allow for the
quantification of benefit from treatment matching. As we have
shown, some patients would be expected to derive comparable
benefits from either treatment, whereas for others there would be
little if any difference in outcomes expected between the two
treatments. Considering these factors, it is not clear how their
findings, or any set of findings in which multiple different
predictors are identified, would be used in clinical decisionmaking on their own. Conversely, our approach produces a
clinically interpretable index of the size of the expected difference
in outcomes between the treatments. Future studies of neuroimaging or genetic markers as differential predictors of treatment
response would do well to include a wide variety of variables and
modalities in pre-treatment assessments and to take advantage of
the multivariate nature of the set of potential predictors [34–37].
Biostatisticians have described analytic frameworks to identify
prescriptive (moderator) variables [38,39], but less attention has
been paid to the development of procedures to translate
prescriptive findings into clear, actionable recommendations for
individual patients. We were alerted to the points of contact
between our approach and that of Barber and Muenz [15] while
we were developing and testing our method, at which time a
thorough review of the literature revealed no further developments
along these lines in the mental health field. Only after an extensive
review of the literature in other medical fields did we locate similar
efforts, in oncological medicine [40–42]. To our knowledge, none
of that prior work has been developed further or applied to the
differential prediction of individual patient outcomes.
The time is right for the revival, further development, and
application of these methods, first introduced 35 years ago [40], as
such approaches are suited perfectly to advance the goals of
personalized medicine. With the present effort we hope to inspire
renewed interest across medical fields in the development and
application of prescriptive algorithms that combine multiple
sources of information to yield estimates of patients’ outcomes in
more than one treatment. This approach promises to enhance
therapeutics by promoting the selection of the best treatment
among available options, with the additional feature that it
provides quantitative estimates of the benefits that can be expected
when such an algorithm is implemented.
Acknowledgments
We would like to thank Steven Hollon for his encouragement throughout
this project, and for his helpful and insightful feedback on several versions
of our manuscript.
Author Contributions
Conceived and designed the experiments: RJD ZDC NRF JCF LG LLL.
Analyzed the data: ZDC. Wrote the paper: RJD ZDC NRF JCF LG LLL.
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UPHOLDING MULTILATERALISM: INDONESIA’S FOREIGN POLICY IN RESPONDING TO COVID-19 PANDEMIC
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https://doi.org/10.26593/jihi.v18i1.5255.29-54 azharisetiawan@umrah.ac.id azharisetiawan@umrah.ac.id ABSTRACT The 2019 Novel Coronavirus disease or Covid-19 has apparently become a new global challenge. Not
only did the pandemic drive all actors to make response but it also affected the relations among them. That
Indonesia raised multilateralism in the unprecedented situation while more unilateral or populist actions taken by
a number of states encouraged this research. This paper attempts to explain Indonesia’s foreign policy in
upholding multilateralism to respond to the COVID-19 during the first year of the pandemic. Such response was
intended to mitigate the impacts caused by the pandemic. This research applied holistic constructivism in
understanding the determinants of Indonesia’s foreign policy by investigating both domestic and international
cause. This research utilized the qualitative method with an explanatory analysis. The findings show that such
Indonesia’s foreign policy was driven by its identity constructed by both indigenous norm of ‘Gotong Royong’
and global norm of ‘International Health Regulation’. The norm-laden or identity-based foreign policy was
leading it to uphold multilateralism which was considered appropriate in order to coordinate, collaborate and
cooperate with international communities. In addition, Indonesia maintained its trust on and support to the World
Health Organization as the most leading actor in health governance championing fight against the pandemic. This paper argues that the norm factors do matter in Indonesia’s foreign policy in facing uncertainties in the
vulnerable and interconnected world. Through the case studied, this paper suggests that looking at the domestic
actors as well as the state in international system help provide a better understanding on the state behavior in
international relations. Keywords: Gotong royong; International Health Regulation; multilateralism; constructivist. Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to
Covid-19 Pandemic Luerdi1 & Azhari Setiawan2 1Doctoral Student in International Relations, Faculty of Law and International Relations, Universiti Sultan Zainal
Abidin, Malaysia
luerdi2202@gmail.com. 2 Department of International Relations, Faculty of Social and Political Science, Universitas Maritim Raja Ali
Haji, Indonesia
azharisetiawan@umrah.ac.id 1Doctoral Student in International Relations, Faculty of Law and International Relations, Universiti Sultan Zainal
Abidin, Malaysia
luerdi2202@gmail.com. 2 Department of International Relations, Faculty of Social and Political Science, Universitas Maritim Raja Ali
Haji, Indonesia
azharisetiawan@umrah.ac.id 1 Arry Bainus and Junita Budi Rachman, “Editorial: Pandemi Penyakit Menular (Covid-19) Hubungan Internasional,”
Intermestic: Journal of International Studies; Vol 4 No 2 (2020)DO - 10.24198/Intermestic.V4n2.1 , May 31, 2020, 111,
http://intermestic.unpad.ac.id/index.php/intermestic/article/view?path=.
2 Christine Riley, Bo Xie, and Anjum Khurshid, “Challenges Encountered in Comparing International Policy Responses to
COVID-19 and Their Effects,” Health Research Policy and Systems 19, no. 1 (2021): 134, https://doi.org/10.1186/s12961-
021-00783-1. (
)
,
p
g
6 Jeff Tollefson, “How Trump Damaged Science — and Why It Could Take Decades to Recover,” Nature, 2020,
https://www.nature.com/articles/d41586-020-02800-9. ABSTRAK Wabah penyakit Novel Coronavirus 2019 atau Covid-19 telah menjadi tantangan global baru. Pandemi
Covid-19 tidak hanya mendorong semua aktor untuk merespon, tetapi juga mempengaruhi hubungan di antara
mereka. Bahwa Indonesia mengangkat multilateralisme pada sebuah situasi yang belum pernah terjadi
sebelumnya sementara tindakan yang lebih sepihak atau populis dilakukan oleh sejumlah negara lain
mendorong penulis untuk melakukan penelitian ini. Tulisan ini menjelaskan kebijakan luar negeri Indonesia
dalam mengedepankan multilateralisme untuk merespons COVID-19 selama tahun pertama pandemi tersebut. Respons tersebut dimaksudkan untuk memitigasi dampak yang ditimbulkan oleh pandemi. Penelitian ini
menerapkan konstruktivisme holistik dalam memahami determinan politik luar negeri Indonesia dengan
menyelidiki faktor domestik dan internasional. Penelitian ini menggunakan metode kualitatif dengan analisis
eksplanatori. Temuan menunjukkan bahwa kebijakan luar negeri Indonesia tersebut didorong oleh identitasnya
yang dikonstruksikan oleh norma domestik ‘gotong royong’ dan norma global ‘Peraturan Kesehatan
Internasional’. Politik luar negeri yang sarat norma atau berbasis identitas mengarahkannya untuk
mengedepankan multilateralisme yang dianggap tepat dalam rangka berkoordinasi, berkolaborasi dan
bekerjasama dengan masyarakat internasional. Selain itu, Indonesia mempertahankan kepercayaan dan Wabah penyakit Novel Coronavirus 2019 atau Covid-19 telah menjadi tantangan global baru. Pandemi
Covid-19 tidak hanya mendorong semua aktor untuk merespon, tetapi juga mempengaruhi hubungan di antara
mereka. Bahwa Indonesia mengangkat multilateralisme pada sebuah situasi yang belum pernah terjadi
sebelumnya sementara tindakan yang lebih sepihak atau populis dilakukan oleh sejumlah negara lain
mendorong penulis untuk melakukan penelitian ini. Tulisan ini menjelaskan kebijakan luar negeri Indonesia
dalam mengedepankan multilateralisme untuk merespons COVID-19 selama tahun pertama pandemi tersebut. 29 30 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic dukungannya kepada Organisasi Kesehatan Dunia (WHO) sebagai aktor utama dalam tata kelola kesehatan
untuk menghadapi pandemi. Tulisan ini berargumen bahwa faktor norma penting dalam menganalisis kebijakan
luar negeri Indonesia menghadapi ketidakpastian di dunia yang rentan dan saling terhubung. Penulis
menyarankan bahwa dengan melihat aktor domestik dan juga negara dalam sistem internasional, akan
membantu memberikan pemahaman yang lebih baik dan komprehensif tentang perilaku negara dalam hubungan
internasional. Kata
Kunci:
Gotong
royong,
Regulasi
Kesehatan
Internasional,
multilateralisme,
konstruktivis 3 Riley, Xie, and Khurshid. Segun Oshewolo and Agaptus Nwozor, COVID 19: Projecting the National Security Dimensions of Pandemics, Strategic
Analysis 44, no. 3 (May 3, 2020): 269, https://doi.org/10.1080/09700161.2020.1767911.
5 C M Weible et al., “COVID-19 and the Policy Sciences: Initial Reactions and Perspectives,” Policy Sciences 53, no. 2
(2020): 237, https://doi.org/10.1007/s11077-020-09381-4. y
,
(
y ,
)
,
p
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5 C M Weible et al., “COVID-19 and the Policy Sciences: Initial Reactions and Perspectives,” Policy Sciences 53, n
(2020): 237, https://doi.org/10.1007/s11077-020-09381-4. y,
,
egun Oshewolo and Agaptus Nwozor, “COVID-19: Projecting the National Security Dimensions of Pandemics,” Stra
alysis 44, no. 3 (May 3, 2020): 269, https://doi.org/10.1080/09700161.2020.1767911. Arry Bainus and Junita Budi Rachman, “Editorial: Pandemi Penyakit Menular (Covid-19) Hubungan Internasional,”
ermestic: Journal of International Studies; Vol 4 No 2 (2020)DO - 10.24198/Intermestic.V4n2.1 , May 31, 2020, 111 y,
,
4 Segun Oshewolo and Agaptus Nwozor, “COVID-19: Projecting the National Security Dimensions of Pandemics,” Strategic
Analysis 44, no. 3 (May 3, 2020): 269, https://doi.org/10.1080/09700161.2020.1767911.
5 C M Weible et al “COVID-19 and the Policy Sciences: Initial Reactions and Perspectives ” Policy Sciences 53 no 2 f
;
(
)
http://intermestic.unpad.ac.id/index.php/intermestic/article/view?path=. p
p
p p
p
Christine Riley, Bo Xie, and Anjum Khurshid, “Challenges Encountered in Comparing International Policy Responses
OVID-19 and Their Effects,” Health Research Policy and Systems 19, no. 1 (2021): 134, https://doi.org/10.1186/s1296
1-00783-1. Introduction Hardly do states neglect a disease outbreak somewhere in the globe inasmuch as it can spread
beyond borders and turn to a global concern. Therefore, pandemic has been a rising issue either in
international politics and security or in foreign policy since the end of Cold War. The international
politics of transmissible disease emerges as a challenge in international relations. 1 The challenges are
related to how states and other international actors reconfigure their policy and national interests’
articulation—in term of health, education, security, politics, and economy—in response to the Covid-
19. 2 According to Christine Riley et al the challenges consist of (1) no single reputable source of
information and too much ‘noise’, (2) a lack of standards for how to measure and report data across
countries, (3) variation in the content, implementation, and enforcement of policies, and (4) politics,
instead of science, leading the efforts in pandemic management. 3 It is urged for all international actors
and world leaders to collaborate in a unified mission to decrease the imperative mortality of Covid-19. While Segun Oshewolo and Agaptus Nwozor suggested that pandemic be raising scientific awareness
about national security dimensions, 4 Christopher M. Weible et al. 5 argued that post-pandemic
phenomena are still understudied in policy sciences. The study in this paper belongs to foreign policy with which state behaviors can be analyzed
and foreign policy determinants can be explained. That while a number of states acted unilaterally in
order to protect their citizens and save their economy in addition to blaming others and current global
health system in the aftermath of Covid-19 outbreak even the United States (U.S.) for example. Donald Trump was mentioned as “damaged [the] science and it could take decades to recover”
by Jeff Tollefson in an article from Nature because his actions which was perceived to have
exacerbated the pandemic that killed more than 200,000 people in the U.S., rolled back environment
and public-health regulations and undermined science and scientific institutions which some of them
could be permanent. 6 Indonesia was one of the actors rejecting such populist trend. Instead, Indonesia
complied with the existing international architecture emphasizing cooperation among states and
international communities. Introduction 31 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic The 2019 Novel Coronavirus disease or so-called Covid-19 which formerly was just a local
contagious virus-caused pneumonia was believed to have first emerged in the Chinese city of Wuhan
in the end December 2019. It was officially reported by the World Health Organization (WHO) of
China country office on 7 January 2020 7 and then characterized as a pandemic by the WHO on 11
March 2020. 8 By the end of April 2020, the virus was reported to have spread to over 200 states. 9 State governments in the world had to choose a difficult option between a large number of
deaths and economic collapse by whether or not to impose lockdowns. 10 The Covid-19 affected
domestic politics and relations among states in addition to disrupting economy globally The situation deaths and economic collapse by whether or not to impose lockdowns. 10 The Covid-19 affected
domestic politics and relations among states in addition to disrupting economy globally. The situation
could be best displayed by domestic pro-con protests and tight security measures in a number of states,
distrust on international regimes and organizations, slowing economic growths and even recession
threat either in developed or in developing states. So did the pandemic intensify the ongoing tension
between two giants; the U.S. and China 11 and their competition for the post-Covid-19 global
leadership. 12 Consequently, humanitarian aids during the pandemic were frequently politized
regarding the competitions between the two blocks. 13 The Indonesian President Joko Widodo officially announced the first two confirmed COVID-
19 cases of citizens on 3 March 2020. 14 Criticisms and doubts rose as the Indonesian government
could have announced the confirmed cases earlier while the virus was crippling China, Republic of
Korea (ROK) and Iran in January and February 2020. 15 Indonesia has been one of the most affected in
term of both confirmed cases and deaths in Southeast Asia since then. Indonesia was suffering from
the economic loss due to restriction of domestic businesses. So were Indonesian overseas both
migrants and students affected as foreign governments issued the temporary, strict policies targeting
foreign nationals. As the Covid-19 was inevitable and all states were hit, Indonesia was actively responding to it. The Asian Development Bank (ADB) predicted that Indonesia, the world’s fourth most populous state,
would suffer greatly and need longer time to recover. 7 Mayusef Sukmana, Muhammad Aminuddin, and Dwi Nopriyanto, “Indonesian Government Response In COVID-19
Disaster Prevention,” East African Scholars Journal of Medical Sciences 3, no. 3 (March 15, 2020): 81,
https://doi.org/10.36349/EASMS.2020.v03i03.025. p
g
10 Damien Bol et al., “The Effect of COVID-19 Lockdowns on Political Support: Some Good News for Democracy?,”
European Journal of Political Research 60, no. 2 (May 1, 2021): 1, https://doi.org/https://doi.org/10.1111/1475-6765.12401.
11 Seth Schindler, Nicholas Jepson, and Wenxing Cui, “Covid-19, China and the Future of Global Development,” Research in
Globalization 2 (2020): 1, https://doi.org/https://doi.org/10.1016/j.resglo.2020.100020; J.J. Zhang and V.R. Savage, “The
Geopolitical Ramifications of COVID-19: The Taiwanese Exception,” Eurasian Geography and Economics, 2020, 465–66,
https://doi.org/10.1080/15387216.2020.1779773. p
g
8 Wasiu Abiodun Balogun and Oluwaseun Soile, “‘Pandemic Diplomacy’ and The Politics of Paradox: International
Cooperation in The Age of Distancing,” Gaziantep University Journal of Social Sciences 19, no. COVID-19 Special Issue
(October 31, 2020): 415, https://doi.org/10.21547/JSS.780792. 9 Javad Yoosefi Lebni et al., “How the COVID-19 Pandemic Effected Economic, Social, Political, and Cultural Factors: A
Lesson from Iran,” International Journal of Social Psychiatry 67, no. 3 (July 2, 2020): 1,
https://doi.org/10.1177/0020764020939984. p
g
12 Md. Saifullah Akon and Mahfujur Rahman, “Reshaping the Global Order in the Post COVID-19 Era: A Critical Analysis,”
Chinese Journal of International Review 02, no. 01 (June 1, 2020): 2, https://doi.org/10.1142/S2630531320500067.
13 Michael Dunford and Bing Qi, “Global Reset: COVID-19, Systemic Rivalry and the Global Order,” Research in
Globalization 2 (2020): 6, https://doi.org/https://doi.org/10.1016/j.resglo.2020.100021. 7 Mayusef Sukmana, Muhammad Aminuddin, and Dwi Nopriyanto, “Indonesian Government Response In COVID-19
Disaster Prevention,” East African Scholars Journal of Medical Sciences 3, no. 3 (March 15, 2020): 81,
https://doi.org/10.36349/EASMS.2020.v03i03.025.
8 Wasiu Abiodun Balogun and Oluwaseun Soile, “‘Pandemic Diplomacy’ and The Politics of Paradox: International
Cooperation in The Age of Distancing,” Gaziantep University Journal of Social Sciences 19, no. COVID-19 Special Issue
(October 31, 2020): 415, https://doi.org/10.21547/JSS.780792.
9 Javad Yoosefi Lebni et al., “How the COVID-19 Pandemic Effected Economic, Social, Political, and Cultural Factors: A
L
f
I
” I
i
l J
l f S
i l P
hi
67
3 (J l 2 2020) 1 7 Mayusef Sukmana, Muhammad Aminuddin, and Dwi Nopriyanto, “Indonesian Government Response In COVID-19
Disaster Prevention,” East African Scholars Journal of Medical Sciences 3, no. 3 (March 15, 2020): 81,
https://doi.org/10.36349/EASMS.2020.v03i03.025.
8 Wasiu Abiodun Balogun and Oluwaseun Soile, “‘Pandemic Diplomacy’ and The Politics of Paradox: International
Cooperation in The Age of Distancing,” Gaziantep University Journal of Social Sciences 19, no. COVID-19 Special Issue
(October 31, 2020): 415, https://doi.org/10.21547/JSS.780792.
9 Javad Yoosefi Lebni et al., “How the COVID-19 Pandemic Effected Economic, Social, Political, and Cultural Factors: A
Lesson from Iran,” International Journal of Social Psychiatry 67, no. 3 (July 2, 2020): 1,
https://doi.org/10.1177/0020764020939984.
10 Damien Bol et al., “The Effect of COVID-19 Lockdowns on Political Support: Some Good News for Democracy?,”
European Journal of Political Research 60, no. 2 (May 1, 2021): 1, https://doi.org/https://doi.org/10.1111/1475-6765.12401.
11 Seth Schindler, Nicholas Jepson, and Wenxing Cui, “Covid-19, China and the Future of Global Development,” Research in
Globalization 2 (2020): 1, https://doi.org/https://doi.org/10.1016/j.resglo.2020.100020; J.J. Zhang and V.R. Savage, “The
Geopolitical Ramifications of COVID-19: The Taiwanese Exception,” Eurasian Geography and Economics, 2020, 465–66,
https://doi.org/10.1080/15387216.2020.1779773.
12 Md. Saifullah Akon and Mahfujur Rahman, “Reshaping the Global Order in the Post COVID-19 Era: A Critical Analysis,”
Chinese Journal of International Review 02, no. 01 (June 1, 2020): 2, https://doi.org/10.1142/S2630531320500067.
13 Michael Dunford and Bing Qi, “Global Reset: COVID-19, Systemic Rivalry and the Global Order,” Research in
Globalization 2 (2020): 6, https://doi.org/https://doi.org/10.1016/j.resglo.2020.100021.
14 Shindy Diah Ayu Lestari, “Pandemic Of Covid-19 in Indonesia: Social Politics Perspective (Pandemi Covid-19 Di
Indonesia: Perspektif Sosial Politik),” ETNOREFLIKA: Jurnal Sosial Dan Budaya 10, no. 1 (February 27, 2021): 40,
https://doi.org/10.33772/ETNOREFLIKA.V10I1.915.
15 Marcus Mietzner, “Populist Anti-Scientism, Religious Polarisation, and Institutionalised Corruption: How Indonesia’s
Democratic Decline Shaped Its COVID-19 Response,” Journal of Current Southeast Asian Affairs 39, no. 2 (August 1,
2020): 228, https://doi.org/10.1177/1868103420935561.
16 Riyanti Djalante et al., “Review and Analysis of Current Responses to COVID-19 in Indonesia: Period of January to March
2020,” Progress in Disaster Science 6 (2020): 2, https://doi.org/https://doi.org/10.1016/j.pdisas.2020.100091. Introduction 16 Just like other natural disasters, Klaus Dodds
et al. suggested that the pandemic unveil the uneven capacity among states to respond and allow others 12 Md. Saifullah Akon and Mahfujur Rahman, “Reshaping the Global Order in the Post COVID-19 Era: A Critical Analysis,”
Chinese Journal of International Review 02, no. 01 (June 1, 2020): 2, https://doi.org/10.1142/S2630531320500067. 13 Michael Dunford and Bing Qi, “Global Reset: COVID-19, Systemic Rivalry and the Global Order,” Research in
Globalization 2 (2020): 6, https://doi.org/https://doi.org/10.1016/j.resglo.2020.100021. p
g
p
g
j
g
14 Shindy Diah Ayu Lestari, “Pandemic Of Covid-19 in Indonesia: Social Politics Perspective (Pandemi Covid-19 Di
Indonesia: Perspektif Sosial Politik),” ETNOREFLIKA: Jurnal Sosial Dan Budaya 10, no. 1 (February 27, 2021): 40,
https://doi.org/10.33772/ETNOREFLIKA.V10I1.915. 14 Shindy Diah Ayu Lestari, “Pandemic Of Covid-19 in Indonesia: Social Politics Perspective (Pandemi Covid-19 Di
Indonesia: Perspektif Sosial Politik),” ETNOREFLIKA: Jurnal Sosial Dan Budaya 10, no. 1 (February 27, 2021): 40,
https://doi.org/10.33772/ETNOREFLIKA.V10I1.915. 15 Marcus Mietzner, “Populist Anti-Scientism, Religious Polarisation, and Institutionalised Corruption: How Indonesia’s
Democratic Decline Shaped Its COVID-19 Response,” Journal of Current Southeast Asian Affairs 39, no. 2 (August 1,
2020): 228, https://doi.org/10.1177/1868103420935561. 15 Marcus Mietzner, “Populist Anti-Scientism, Religious Polarisation, and Institutionalised Corruption: How Indonesia’s
Democratic Decline Shaped Its COVID-19 Response,” Journal of Current Southeast Asian Affairs 39, no. 2 (August 1,
2020): 228, https://doi.org/10.1177/1868103420935561. 16 Riyanti Djalante et al., “Review and Analysis of Current Responses to COVID-19 in Indonesia: Period of January to March
2020,” Progress in Disaster Science 6 (2020): 2, https://doi.org/https://doi.org/10.1016/j.pdisas.2020.100091. erdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic to seek profits from such situation. 17 So did the pandemic expose deep sosio-economic inequalities
within states especially migrants and lower income communities. 18 On the other hand, Indonesia was upholding multilateralism in its foreign policy which was
not only determined by its interests alone. Indonesia commenced to carry out multilateralism as soon
as it gained its independence. The involvement in the Non-Alliance Movement could be its best post-
colonial experience. The practice of multilateralism was conducted through various leaderships despite
differing foreign policy orientations. When the Covid-19 became a global issue, similar policy was
still a preference under President Joko Widodo. At the 2019 annual speech of the Ministry of Foreign Affairs (MoFA), Minister Retno L.P. Introduction Marsudi explicitly said, “Indonesia will continue to work in multilateral setting in spite of the fact that
the value of multilateralism is under pressure.” 19 The statement was made in the middle of the
pessimistic trend on multilateralism shown by the U.S. in responding to the COVID-19. In addition,
there was also increasing questions from rising actors in the Global South on the legitimacy of
international architecture which benefitted the U.S. and the West in conserving their influence. 20
However, Indonesia was still committed to the track of multilateralism which was invested within its
foreign policy. The foreign policy making was driven by ideational instead of material factors such as
power and economic capability. 24 Davies, Kamradt-Scott, and Rushton, Disease Diplomacy: International Norms and Global Health Security; Kamradt-
Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control”; Ferhani and Rushton, “The
International Health Regulations, COVID-19, and Bordering Practices: Who Gets in, What Gets out, and Who Gets
Rescued?” 23 Davies, Kamradt-Scott, and Rushton, Disease Diplomacy: International Norms and Global Health Security; Kamradt-
Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control”; Ferhani and Rushton, “The
International Health Regulations, COVID-19, and Bordering Practices: Who Gets in, What Gets out, and Who Gets
Rescued?” 22 Adam Kamradt-Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control,” Journal of
International Organization Studies 1 (January 1, 2010); Sara E Davies, Adam Kamradt-Scott, and S Rushton, Disease
Diplomacy: International Norms and Global Health Security (Baltimore: John Hopkins University Press, 2015); A Ferhani
and S Rushton, “The International Health Regulations, COVID-19, and Bordering Practices: Who Gets in, What Gets out,
and Who Gets Rescued?,” Contemporary Security Policy 41, no. 3 (2020): 458–77,
https://doi.org/10.1080/13523260.2020.1771955. 17 Klaus Dodds et al., “The COVID-19 Pandemic: Territorial, Political and Governance Dimensions of the Crisis,” Territory,
Politics, Governance 8, no. 3 (May 26, 2020): 290, https://doi.org/10.1080/21622671.2020.1771022.
18 R Djalante et al., “COVID-19 and ASEAN Responses: Comparative Policy Analysis,” Progress in Disaster Science 8
(2020): 11, https://doi.org/10.1016/j.pdisas.2020.100129.
19 Retno LP Marsudi, “Cooperation: The Catalyst for Fighting the COVID-19 Crisis - Opinion - The Jakarta Post,” The
Jakarta Post, March 25, 2020, https://www.thejakartapost.com/academia/2020/03/24/cooperation-the-catalyst-for-fighting-
the-Covid-19-crisis.html at Jakarta Post.
20 Jürgen Rüland, “The Rise of ‘Diminished Multilateralism’: East Asian and European Forum Shopping in Global
Governance,” Asia Europe Journal 9, no. 2 (2012): 255–70, https://doi.org/10.1007/s10308-012-0311-9.
21 Sara E Davies, “Securitizing Infectious Disease,” International Affairs 84, no. 2 (March 1, 2008): 295–313,
https://doi.org/10.1111/j.1468-2346.2008.00704.x; Melissa G Curley and Jonathan Herington, “The Securitisation of Avian
Influenza: International Discourses and Domestic Politics in Asia,” Review of International Studies 37, no. 1 (2011): 141–66,
https://doi.org/DOI: 10.1017/S0260210510000537.
22 Adam Kamradt-Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control,” Journal of
International Organization Studies 1 (January 1, 2010); Sara E Davies, Adam Kamradt-Scott, and S Rushton, Disease
Diplomacy: International Norms and Global Health Security (Baltimore: John Hopkins University Press, 2015); A Ferhani
and S Rushton, “The International Health Regulations, COVID-19, and Bordering Practices: Who Gets in, What Gets out,
and Who Gets Rescued?,” Contemporary Security Policy 41, no. 3 (2020): 458–77,
https://doi.org/10.1080/13523260.2020.1771955.
23 Davies, Kamradt-Scott, and Rushton, Disease Diplomacy: International Norms and Global Health Security; Kamradt-
Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control”; Ferhani and Rushton, “The
International Health Regulations, COVID-19, and Bordering Practices: Who Gets in, What Gets out, and Who Gets
Rescued?”
24 Davies, Kamradt-Scott, and Rushton, Disease Diplomacy: International Norms and Global Health Security; Kamradt-
Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control”; Ferhani and Rushton, “The
I t
ti
l H
lth R
l ti
COVID 19
d B
d i
P
ti
Wh G t i
Wh t G t
t
d Wh G t 17 Klaus Dodds et al., “The COVID-19 Pandemic: Territorial, Political and Governance Dimensions of the Crisis,” Territory,
Politics, Governance 8, no. 3 (May 26, 2020): 290, https://doi.org/10.1080/21622671.2020.1771022.
18 R Djalante et al., “COVID-19 and ASEAN Responses: Comparative Policy Analysis,” Progress in Disaster Science 8
(2020): 11, https://doi.org/10.1016/j.pdisas.2020.100129.
19 Retno LP Marsudi, “Cooperation: The Catalyst for Fighting the COVID-19 Crisis - Opinion - The Jakarta Post,” The
Jakarta Post, March 25, 2020, https://www.thejakartapost.com/academia/2020/03/24/cooperation-the-catalyst-for-fighting-
the-Covid-19-crisis.html at Jakarta Post. Jürgen Rüland, “The Rise of ‘Diminished Multilateralism’: East Asian and European Forum Shopping in Globa
overnance,” Asia Europe Journal 9, no. 2 (2012): 255–70, https://doi.org/10.1007/s10308-012-0311-9. 21 Sara E Davies, “Securitizing Infectious Disease,” International Affairs 84, no. 2 (March 1, 2008): 295–313,
https://doi.org/10.1111/j.1468-2346.2008.00704.x; Melissa G Curley and Jonathan Herington, “The Securitisati
Influenza: International Discourses and Domestic Politics in Asia,” Review of International Studies 37, no. 1 (20
https://doi.org/DOI: 10.1017/S0260210510000537. Literature Review There exists some literature discussing health issues in both regional and international level. Securitizing infectious diseases by states and international organizations was studied by a number of
scholars such as Sarah E. Davies, and Melissa G. Curley and Jonathan Herington. 21 Meanwhile, Sarah
E. Davies, Adam Kamradt-Scott and S. Rushton studied the role of norm in international practices
regarding health issues. 22 The emergence of new health threats led to the implementation of 2005
International Health Regulation (IHR) as a new international norm. 23 The study investigated the role
of the WHO’s norm entrepreneurship in order to ensure its member states to comply with the new
norm. 24 In another study, Kamradt-Scott revealed the role of smaller group within the WHO in
successfully introducing and preserving the norm of utilizing non-government information sources in 23 Davies, Kamradt-Scott, and Rushton, Disease Diplomacy: International Norms and Global Health Security; Kamradt-
Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control”; Ferhani and Rushton, “The
International Health Regulations, COVID-19, and Bordering Practices: Who Gets in, What Gets out, and Who Gets
Rescued?” erdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic the revised IHR. 25 The global cooperation along with the influence of donors was studied by Devi
Sridhar and Ngaire Woods. 26 The study showed that donors could redirect the international
organizations to fight specific diseases. 27 The studies on Asian States regarding health issues were conducted by David P. Fidler 28,
Sarah E. Davies 29, Shahar Hameiri (2014) and Clare Wenham30. Fidler suggested that Asian
normative ideas encourage their participation and contribution to global health diplomacy and
governance. 31 Davies argued that having hit by previous infectious diseases created a strong will
among the Southeast Asia states for cooperation in responding to public health emergencies. 32 The studies on Asian States regarding health issues were conducted by David P. Fidler 28,
Sarah E. Davies 29, Shahar Hameiri (2014) and Clare Wenham30. Fidler suggested that Asian
normative ideas encourage their participation and contribution to global health diplomacy and
governance. 31 Davies argued that having hit by previous infectious diseases created a strong will
among the Southeast Asia states for cooperation in responding to public health emergencies. 32
Further, Davies found a number of East Asian states’ compliance with the reporting of the infectious
avian influenza despite their sovereignty. Literature Review 33 Indonesia was included in the study and it was once the
state with the highest human infections. However, Indonesia’ compliance with the reporting was
contrast to its decision over the viral sharing dispute with the WHO. Hameiri argued that Indonesia
asserted sovereignty to justify ceasing the virus-sharing was merely domestic actors’ struggles to gain
their political goals. 34 On the other hand, Murray Hiebert noted that Indonesia attempted to play more
serious role to step up global health diplomacy and specifically demanded a guarantee from the WHO
that international cooperation would benefit lower income states especially in accessing affordable
vaccine of the bird flu35. While, Wenham examined Thailand’s ambitions to dominate the normative
process of disease control in mainland Southeast Asia. 36 Indonesia’s foreign policy and regional diplomacy by some states towards Indonesia during
the Covid-19 pandemic were studied by a number of scholars such as Asep Setiawan, and Adiasri
Putri Purbantina and Renitha Dwi Hapsari respectively. 37 While Indonesia’s inward looking foreign
policy was raised in order to save its citizens and build cooperation regarding the health crisis situation
and its effects on economic slowdown, 38 the ROK and Japan’s health diplomacy towards Indonesia
was driven by health and economic recovery interests. 39 28 David P Fidler, “Asia’s Participation in Global Health Diplomacy and Global Health Governance,” Asian Journal of WTO
& International Health Law and Policy 5, no. 2 (2010), p
p p
p p
g
29 Sara E Davies, “The International Politics of Disease Reporting: Towards Post-Westphalianism?,” International Politics
49, no. 5 (2012): 591–613, https://doi.org/10.1057/ip.2012.19; Davies, Kamradt-Scott, and Rushton, Disease Diplomacy:
International Norms and Global Health Security; Sara E Davies, Containing Contagion: The Politics of Disease Outbreaks in
Southeast Asia (Baltimore: John Hopkins University Press, 2019). p
y
30 C Wenham, “Regionalizing Health Security: Thailand’s Leadership Ambitions in Mainland Southeast Asian Disease
Control,” Contemporary Southeast Asia: A Journal of International and Strategic Affairs 40, no. 1 (2018): 126–51. 31
idl
i
i i
i
i
l b l
l h
i l
d
l b l 32 Davies, Containing Contagion: The Politics of Disease Outbreaks in Southeast Asia. 33 32 Davies, Containing Contagion: The Politics of Disease Outbreaks in Southeast Asia. 33 Davies, “The International Politics of Disease Reporting: Towards Post-Westphalianism?” Shahar Hameiri, “Avian Influenza, ‘Viral Sovereignty’, and the Politics of Health Security in Indonesia,” The Pacific
view 27, no. 3 (May 27, 2014): 333–56, https://doi.org/10.1080/09512748.2014.909523. p
p
26 Devi Sridhar and Ngaire Woods, “Trojan Multilateralism: Global Cooperation in Health,” Global Policy 4, no. 4
(November 1, 2013): 325–35, https://doi.org/https://doi.org/10.1111/1758-5899.12066.
27 Sridhar and Woods. 25 Kamradt-Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control.”
26 Devi Sridhar and Ngaire Woods, “Trojan Multilateralism: Global Cooperation in Health,” Global Policy 4, no. 4
(November 1, 2013): 325–35, https://doi.org/https://doi.org/10.1111/1758-5899.12066.
27 Sridhar and Woods 25 Kamradt-Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control.” 28 David P Fidler, “Asia’s Participation in Global Health Diplomacy and Global Health Governance,” Asian Journal of WTO
& International Health Law and Policy 5, no. 2 (2010),
55 25 Kamradt-Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control.”
26 Devi Sridhar and Ngaire Woods, “Trojan Multilateralism: Global Cooperation in Health,” Global Policy 4, no. 4
(November 1, 2013): 325–35, https://doi.org/https://doi.org/10.1111/1758-5899.12066.
27 Sridhar and Woods.
28 David P Fidler, “Asia’s Participation in Global Health Diplomacy and Global Health Governance,” Asian Journal of WTO
& International Health Law and Policy 5, no. 2 (2010),
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1729455#references-widget.
29 Sara E Davies, “The International Politics of Disease Reporting: Towards Post-Westphalianism?,” International Politics
49, no. 5 (2012): 591–613, https://doi.org/10.1057/ip.2012.19; Davies, Kamradt-Scott, and Rushton, Disease Diplomacy:
International Norms and Global Health Security; Sara E Davies, Containing Contagion: The Politics of Disease Outbreaks in
Southeast Asia (Baltimore: John Hopkins University Press, 2019).
30 C Wenham, “Regionalizing Health Security: Thailand’s Leadership Ambitions in Mainland Southeast Asian Disease
Control,” Contemporary Southeast Asia: A Journal of International and Strategic Affairs 40, no. 1 (2018): 126–51.
31 Fidler, “Asia’s Participation in Global Health Diplomacy and Global Health Governance.”
32 Davies, Containing Contagion: The Politics of Disease Outbreaks in Southeast Asia.
33 Davies, “The International Politics of Disease Reporting: Towards Post-Westphalianism?”
34 Shahar Hameiri, “Avian Influenza, ‘Viral Sovereignty’, and the Politics of Health Security in Indonesia,” The Pacific
Review 27, no. 3 (May 27, 2014): 333–56, https://doi.org/10.1080/09512748.2014.909523.
35 Murray Hiebert, “Indonesia Steps Up Global Health Diplomacy: Bolsters Role in Addressing International Medical
Challenges,” Center for Strategic and International Studies, 2013, https://www.csis.org/analysis/indonesia-steps-global-
health-diplomacy.
36 Wenham, “Regionalizing Health Security: Thailand’s Leadership Ambitions in Mainland Southeast Asian Disease
Control.”
37 Asep Setiawan, “Politik Luar Negeri Indonesia Era Covid-19: Penyelamatan dan Kerjasama,” Independen: Jurnal Politik
Indonesia Dan Global 1 (September 1, 2020): 65–74, https://doi.org/10.24853/independen.1.2.65-74; Adiasri Putri
Purbantina and Renitha Dwi Hapsari, “Diplomasi Kesehatan Di Era Pandemik Global: Analisa Bantuan Penanganan Covid-
19 Dari Negara Jepang Dan Korea Selatan Ke Indonesia,” Global and Policy Journal of International Relations 8, no. 01
(July 9, 2020), https://doi.org/10.33005/JGP.V8I01.2167. 38 Setiawan, “Politik Luar Negeri Indonesia Era Covid-19: Penyelamatan dan Kerjasama.” 29 Sara E Davies, “The International Politics of Disease Reporting: Towards Post-Westphalianism?,” International Politics
49, no. 5 (2012): 591–613, https://doi.org/10.1057/ip.2012.19; Davies, Kamradt-Scott, and Rushton, Disease Diplomacy:
International Norms and Global Health Security; Sara E Davies, Containing Contagion: The Politics of Disease Outbreaks in
Southeast Asia (Baltimore: John Hopkins University Press, 2019). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1729455#references-widget.
29 Sara E Davies, “The International Politics of Disease Reporting: Towards Post-Westphalianism?,” International Politics
49, no. 5 (2012): 591–613, https://doi.org/10.1057/ip.2012.19; Davies, Kamradt-Scott, and Rushton, Disease Diplomacy:
International Norms and Global Health Security; Sara E Davies, Containing Contagion: The Politics of Disease Outbreaks in
Southeast Asia (Baltimore: John Hopkins University Press, 2019).
30 34 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic 34 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic The literature confirms that norms have played significant roles in international relations
regarding the infectious disease issues affecting actor behaviors in term of either political struggle or
cooperation. However, neither of the studies describes nor explains Indonesia’s behavior in addressing
the Covid-19. Furthermore, the study on Indonesia’s foreign policy in addressing the Covid-19 is still
rare due to the fact that the pandemic issue is still new and most states are still struggling to deal with
it. The study by Asep Setiawan slightly relates to this research describing Indonesia’s behavior and
policy in responding to the pandemic40. However, the study only saw tangible national interest as the
only driver of Indonesia’s foreign policy. Meanwhile, this paper suggests that such interest be
constructed by values, norms, ideas, and identity. We propose that Indonesia’s multilateralism in
regard to Covid-19 response is constructed by those values, norms, ideas, and identity—which we
pack up as ‘gotong royong’ and the IHR. This paper would narrow the gap and focus on the role of both domestic and international
norms in Indonesia’s foreign policy. This paper provides the answer to question “Why did Indonesia
raise multilateralism in its foreign policy in responding to the Covid-19 pandemic?” This paper aims to
explain Indonesia’s foreign policy in upholding multilateralism in responding to the pandemic in
addition to the drivers of its multilateralism. This research was limited on the Indonesia’s foreign
policy during the pandemic in 2020. This paper contributes to understanding Indonesia’s foreign
policy and behavior during difficult or challenging situations not limited to the pandemic. 40 Setiawan, “Politik Luar Negeri Indonesia Era Covid-19: Penyelamatan Dan Kerjasama.”
41 Matthew B Miles and A. Michael Huberman, Qualitative Data Analysis: An Expanded Sourcebook, 2nd Ed. (London:
SAGE Publications Inc, 1994).
42 “The Ethics of Constructivism,” in The Oxford Handbook of International Relations (New York: Oxford University Press,
Inc, 2008), 300–305. Setiawan, “Politik Luar Negeri Indonesia Era Covid-19: Penyelamatan Dan Kerjasama.” Literature Review 35 Murray Hiebert, “Indonesia Steps Up Global Health Diplomacy: Bolsters Role in Addressing International Medical
Challenges,” Center for Strategic and International Studies, 2013, https://www.csis.org/analysis/indonesia-steps-global-
health-diplomacy. Wenham, “Regionalizing Health Security: Thailand’s Leadership Ambitions in Mainland Southeast Asian Disease
ontrol.” 37 Asep Setiawan, “Politik Luar Negeri Indonesia Era Covid-19: Penyelamatan dan Kerjasama,” Independen: Jurnal Politik
Indonesia Dan Global 1 (September 1, 2020): 65–74, https://doi.org/10.24853/independen.1.2.65-74; Adiasri Putri
Purbantina and Renitha Dwi Hapsari, “Diplomasi Kesehatan Di Era Pandemik Global: Analisa Bantuan Penanganan Covid-
19 Dari Negara Jepang Dan Korea Selatan Ke Indonesia,” Global and Policy Journal of International Relations 8, no. 01
(July 9, 2020), https://doi.org/10.33005/JGP.V8I01.2167. 38 Setiawan, “Politik Luar Negeri Indonesia Era Covid-19: Penyelamatan dan Kerjasama.”
39 38 Setiawan, “Politik Luar Negeri Indonesia Era Covid-19: Penyelamatan dan Kerjasama.” 39 Purbantina and Hapsari, “Diplomasi Kesehatan Di Era Pandemik Global: Analisa Bantuan Penanganan Covid-19 Dari
Negara Jepang Dan Korea Selatan Ke Indonesia,” 10. 39 Purbantina and Hapsari, “Diplomasi Kesehatan Di Era Pandemik Global: Analisa Bantuan Penanganan Covid-19 Dari
Negara Jepang Dan Korea Selatan Ke Indonesia,” 10. Methodology This research applied the qualitative method with an explanatory analysis. It was a library
research in which a range of recorded data such as journal articles, research papers, scholarly
commentaries and other relevant online sources were collected. So was this research benefitted from
information provided in the institutional website of MoFA as well as officials’ statements and writings
in explaining Indonesia’s foreign policy to respond to the COVID-19. The data were analysed through
the Miles and Hubberman’s interactive model consisting of four steps; collecting data, reducing data,
displaying data and drawing conclusion41. The application of method can be seen as following: Firstly, collecting data. An amount of information on the COVID-19 and Indonesia’s response
was collected. Secondly, reducing data. Data were sorted out in order to raise critical questions so that
the issue became specific. Meanwhile, the unnecessary data were taken aside. The critical questions
led to Indonesia’s foreign policy in responding to the pandemic. Thirdly, displaying data. At this stage,
pieces of information were organized so that an early conclusion could be drawn. However, collecting
and reducing data still continued simultaneously. The last, verification. The conclusion appeared clear
and strong after the researchers found meanings in addition to recording regularities, explanatory
patterns, configurations, causalities and propositions. This research found that the factor of identity
constructed by domestic and global norm drove Indonesia to raise multilateralism in its foreign policy
in responding to the Covid-19. This research applied the holistic constructivist approach of international relations. Ian Hurd 42
includes several features of constrcutivism; first, it is an alternative to materialism. Unlike the
materialist approach such as neorealism and neoliberalism which believe in military power, strategic
resources or other causes of direct outcomes in world politics, the constructivist approach embraces
that the world is socially constructed depending on the web of meanings and practices among actors. Second, state interests are constructed. Social relations play important role in shaping actor 5 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandem perceptions and identities which contribute to interest construction. Third, structure and agents are
mutually constituted. While state actions affect norm and institution making, they affect to defining,
socializing and influencing states and both can be redefined. Fourth, multiple logics of anarchy are
present. 43 “The Power of (Emotion) Words: On the Importance of Emotions for Social Constructivist Discourse Analysis in IR,”
Journal of International Relations and Development 21, no. 3 (2018): 495–522, https://doi.org/10.1057/s41268-017-0086-0.
44 Martin Weber, “Between ‘Isses’ and ‘Oughts’: IR Constructivism, Critical Theory, and the Challenge of Political
Philosophy,” European Journal of International Relations 20, no. 2 (January 4, 2013): 516–43,
https://doi.org/10.1177/1354066112466573. 45 “Introduction: Alternative Perspective on National Security,” in The Culture of National Security: Norms and Identity in
World Politics, ed. P.J Katzenstein (New York: Columbia University Press, 1996).
46 R.I Jepperson, Alexander Wend, and P.J Katzenstein, “Norms, Identity, and Culture in National Security,” in The Culture
of National Security: Norms and Identity in World Politics (New York: Columbia University Press, 1996). 43 “The Power of (Emotion) Words: On the Importance of Emotions for Social Constructivist Discourse Analysis in IR,”
Journal of International Relations and Development 21, no. 3 (2018): 495–522, https://doi.org/10.1057/s41268-017-0086-0.
44 Martin Weber, “Between ‘Isses’ and ‘Oughts’: IR Constructivism, Critical Theory, and the Challenge of Political
Philosophy,” European Journal of International Relations 20, no. 2 (January 4, 2013): 516–43,
https://doi.org/10.1177/1354066112466573.
45 “Introduction: Alternative Perspective on National Security,” in The Culture of National Security: Norms and Identity in
World Politics, ed. P.J Katzenstein (New York: Columbia University Press, 1996).
46 R.I Jepperson, Alexander Wend, and P.J Katzenstein, “Norms, Identity, and Culture in National Security,” in The Culture World Politics, ed. P.J Katzenstein (New York: Columbia University Press, 1996).
46 R.I Jepperson, Alexander Wend, and P.J Katzenstein, “Norms, Identity, and Culture in National Security,” in The Culture
of National Security: Norms and Identity in World Politics (New York: Columbia University Press, 1996). Methodology Source: Author’s own visualization, adapted from M M Nia, ‘A Holistic Constructivist Approach to
Iran’s Foreign Policy’, International Journal of Business and Society, 2.4 (2011); M Alexandrov, ‘The
Concept of State Identity in International Relations: A Theoretical Analysis’, 2003. Source: Author’s own visualization, adapted from M M Nia, ‘A Holistic Constructivist Approach to
Iran’s Foreign Policy’, International Journal of Business and Society, 2.4 (2011); M Alexandrov, ‘The
Concept of State Identity in International Relations: A Theoretical Analysis’, 2003. Despite the fact that each constructivist approach portrays different ideas on norms and actor
identities, they arrive at the same principle of norm and identity theory; norms refer to the
environment’s cultural and regulative contents; on the other hand, identities refer to the actor cultural
representation shaped by such environment. 47 In other words as Maxym Alexandrov 48 proposed, state
identity is “a set of broadly accepted representations of state, in particular in its relation to other states,
together with the corresponding beliefs about the appropriate behavior, rights or responsibilities.” This research emphasized the role of domestic norm and actor as well as global norm in
creating Indonesia’s identity. A domestic norm contributes to the construction of domestic actor’s
identity which then represents state identity. Gotong royong (mutual cooperation) was the domestic
norm and the MoFA was the main actor in constructing Indonesia’s identity. As a collective
expectation, indigenous value of gotong royong guided the MoFA to issue foreign policy decision;
multilateralism which was proper in addressing the Covid-19. Its comitment to such practice could be
seen through its reoccurring practices and the information stated in its website as well as its officials’
statements and writings. Despite our argument that the MoFA was the most apparent actor in Indonesia’s foreign policy
in responding to the Covid-19, other domestic branches of government such as the President, the
Ministry of Health (MoH) and Parliament also played important role in boldening the MoFA’s
commitment to the indigenous norm and multilateralism. The perspective is in line with the
characteristic of foreign policy in democratic states in which foreign policy making is an arena of
involvement for diverse actors. The idea and practice of multilateralism were not solely constructed by the elements within
domestic level. In addition, the international normative structure resulted in by interactions among
states played a significant role in constructing Indonesia’s identity. p
y
y
49 John Gerard Ruggie, “Multilateralism: The Anatomy of an Institution,” International Organization 46, no. 3 (1992): 561,
https://www.jstor.org/stable/2706989. 47 Jepperson, Wend, and Katzenstein. person, Wend, and Katzenstein.
e Concept of State Identity in International Relations: A Theoretical Analysis,” 2003, 38. 47 Jepperson, Wend, and Katzenstein.
48 “The Concept of State Identity in International Relations: A Theoretical Analysis,” 2003, 38.
49 John Gerard Ruggie, “Multilateralism: The Anatomy of an Institution,” International Organization 46, no. 3 (1992): 561,
https://www.jstor.org/stable/2706989. Methodology The anarchic structure is not natural and permanent, it depends on the ideas of actors whether
they see others as enemies and rivals or friends instead. The structure changes provided that ideas
change. The constructivist approach emphasizes the role of non-material drivers such as whether they
are ideas, norms, cultures and historical legacies which contribute to shaping actor identities and
behaviors. In addition, Simon Koschut 43 suggests the importance of shared emotion allowing political
actors to participate in international politics. The rise of constructivism mainstreams norms as
efficacious explanatory variables in analyzing world politics. 44 Consequently, the foreign policy study
recognizes the importance of norms in policy making determining either cooperations or conflicts. Peter J. Katzenstein 45 defines norms as “collective expectations for the proper behavior of actors with
a given identity.” Norms have both constitutive and regulative function. While the former means that
norms act as the rules which determine actions causing ‘relevant others’ recognize their peculiar
identities, the latter means that norms act as the standards which prescribe proper behaviors according
to such defined identities. 46 Identities are constructed through the norms coming from either internal or external
environment or both. While the systemic constructivism believes in the role of international norms
thanks to the interactions between states and the unit-level constructivism believes in domestic norms
affecting domestic actors’ identities, the holistic constructivism bridges the two in which both sorts of
norms contribute to such identity construction. The holistic constructivist framework of construction
between normative structure and actor can be seen as following: 36 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic Figure 1. Holistic Constructivist Framework of Normative Structure and Actor Construction
Source: Author’s own visualization, adapted from M M Nia, ‘A Holistic Constructivist Approach to
Iran’s Foreign Policy’, International Journal of Business and Society, 2.4 (2011); M Alexandrov, ‘The
Concept of State Identity in International Relations: A Theoretical Analysis’, 2003 ure 1. Holistic Constructivist Framework of Normative Structure and Actor Construction Source: Author’s own visualization, adapted from M M Nia, ‘A Holistic Constructivist Approach to
Iran’s Foreign Policy’, International Journal of Business and Society, 2.4 (2011); M Alexandrov, ‘The
Concept of State Identity in International Relations: A Theoretical Analysis’, 2003. pp
,
,
48 “The Concept of State Identity in International Relations: A Theoretical Analysis,” 2003, 38. a. Drivers of Indonesia’s Multilateralism Indonesia’s multilateralism was initially expressed in 1945 Constitution Preamble and
implemented in the 1955 Bandung Asia-Africa Conference. Indonesia encouraged the spirit of non-
alliance among the post-colonial nations. These are significant precedents within Indonesia’s foreign
policy which emphasized on multilateralism and international solidarity. John Gerard Ruggie refers multilateralism as “coordinating relations among three or more
states in accordance with certain principles.” 50 Similarly, Fen Osler Hampson and Paul Heinbecker
defines multilateralism as “collectively agreed norms, rules and principles guiding and governing
interstate behavior,” while the generalized reciprocity principles are the basis of multilateral
institutions. 51 In other words, multilateralism means cooperation among states which are encouraged
by mutual understanding and shared values frequently facilitated by international organizations and
institutions. This paper suggests that Indonesia’s multilateralism in responding to the COVID-19 be
driven by a couple of norms, namely gotong royong and the IHR. Not only was it a political decision
but it also became another institution (a set of norm and practice) in Indonesia’s foreign policy. Gotong royong is an indigenous institution of communality among Indonesian valued even
before the republic modern time. Koentjaraningrat 52 categorizes gotong royong into ‘spontaneous
help’ and ‘mutual assistance’; while the former occures generally in collective activities in a variety of
social aspects, the latter is based on the reciprocal principle either initiated by citizens or expressed as
mutual cooperation. It is believed that both various common problems and community development
activities could be solved easily and cheaply thanks to the existence of mutual assistance. 53 Gotong royong was constructed as a means of nation building by Indonesian founding fathers
in times of the republic early inception as well. The spirit of gotong royong was believed to be
incorporated in national ideology of Pancasila and to constitute the national political system. However,
gotong royong played different roles during the Indonesian leadership in either domestic politics and
foreign policy. I.A.A. Gde Agung 54 noted that the Indonesian first president Soekarno once utilized
gotong royong to justify his guided democracy and criticized those rejecting the idea of Nasakom
(Nationalist-Religion-Communist). So did President Soekarno try to get advantage of gotong royong
slogan in order to gain domestic support for his anti-imperialism and colonialism rhetoric within his
active militant foreign policy. Methodology As an active member of the WHO,
Indonesia already showed its committment to the IHR as moral principles and a guidance when facing
the international public health concern. Embracing the IHR meant that Indonesia was supposed to
share responsibility and work together with other actors against any threat of globally transmitted
infectious disease. Multilateralism was taken by Indonesia as it was encouraged by the IHR. Furthermore, multilateralism had a number of success experiences since the end of Cold War. Multilateral norms and institutions helped bring about stabilization and management of regional and
global changes in today’s world system. 49 37 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic As strongly embraced by the constructivist approach, only if an actor realizes its identity can it
determine its interest and role or behavior. In order to respond to the Covid-19, Indonesia was keeping
up with international collaboration and cooperation driven by its norm-based identity. Meanwhile, to
uphold multilateralism, Indonesia played a number of roles such as maintaining trust on and support to
the WHO and engaging within global and regional frameworks. That Indonesia had right and
responsibility protecting its citizens and mitigating economic impacts as well as cooperating with other
actors either regionally or internationally was deemed appropriate in accordance with its identity. 50 Ruggie, “Multilateralism: The Anatomy of an Institution,” 568.
51 “The ‘New’ Multilateralism of the Twenty-First Century,” Global Governance: A Review of Multilateralism and
International Organizations 17, no. 3 (2011): 300, https://doi.org/https://doi.org/10.1163/19426720-01703003.
52 as cited in L.J Slikkerveer, “Gotong Royong: An Indigenous Institutions of Community and Mutual Assistance in
Indonesia,” in Integrated Community Managed Development: Strategizing Indigenous Knowledge and Institutions for
Poverty Reduction and Sustainable Community Develpment, ed. L.J. Slikkerveer (Cham: Springer, 2019), 308.
53 Slikkerveer, 308. 50 Ruggie, “Multilateralism: The Anatomy of an Institution,” 568.
51 “The ‘New’ Multilateralism of the Twenty-First Century,” Global Governance: A Review of Multilateralism and
International Organizations 17, no. 3 (2011): 300, https://doi.org/https://doi.org/10.1163/19426720-01703003.
52 as cited in L.J Slikkerveer, “Gotong Royong: An Indigenous Institutions of Community and Mutual Assistance in
Indonesia,” in Integrated Community Managed Development: Strategizing Indigenous Knowledge and Institutions for
Poverty Reduction and Sustainable Community Develpment, ed. L.J. Slikkerveer (Cham: Springer, 2019), 308.
53 Slikkerveer, 308.
54 Twenty Years Indonesian Foreign Policy 1945–1965 (De Gruyter Mouton, 1973), 283,
https://doi.org/doi:10.1515/9783111558226.
55 A
283 84 54 Twenty Years Indonesian Foreign Policy 1945–1965 (De Gruyter Mouton, 1973), 283,
https://doi.org/doi:10.1515/9783111558226.
55 Agung, 283–84. 50 Ruggie, “Multilateralism: The Anatomy of an Institution,” 568. a. Drivers of Indonesia’s Multilateralism 55 During President Soeharto’s regime, despite less sounding, gotong
royong was valued to strengthen the concept of integralist state in which rulers and the ruled should be
in harmony instead of conflict. The top-down governance style was deemed a typical authoritarian erdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic state in which people should support the government’s domestic and foreign policy. I.G. Wahyu Wicaksana argues that gotong royong is a fundamental force of Indonesian
societal cohesion in which conflicts and disputes should be solved through conciliations constituted
Indonesia as a family state. 56 The family state foreign policy has led it to cooperate with others and
avoid conflicts post-Soeharto regime. Before elected as a President of Indonesia, Joko Widodo once
reiterated the spirit of gotong royong in Indonesia’s foreign policy within his vision “creating a
sovereign, independent Indonesia.” 57 The spirit of gotong royong would reflect Indonesia’s foreign
policy favoring the mutual assistance and win-win solution. Hence, multilateralism could be the most
suitable decision when dealing with other international actors in a number of issues. Multilateralism is a belief fitting the Indonesian indigenous value living for centuries among
the people as the Indonesian Permanent Representative Mr. Dian Triansyah Djani stated at the April
2019 High-Level Meeting of the United Nations’ General Assembly (HLM-UNGA) recorded in the
A’
b i “Indonesia believes in multilateralism because for centuries we believe on the principle of
gotong royong, loosely translated as working together, shoulder to shoulder for the greater
good. Multilateralism is working together for the greater good, to face global challenges
together.” 58 “Indonesia believes in multilateralism because for centuries we believe on the principle of
gotong royong, loosely translated as working together, shoulder to shoulder for the greater
good. Multilateralism is working together for the greater good, to face global challenges
together.” 58 Multilateralism was infused in one of the MoFA’s strategic purposes emphasizing the
Indonesia’s leadership and role in influential international cooperation. 59 In addition, the MoFA
formed a directorate of multilateral affairs in order to be able to engage Indonesia’s diplomacy more
actively and effectively in multilateral affairs. The step was deemed necessary that Indonesia was
taking into account multilateralism as an international practice as well as a belief. The officials’
statements and strategic purpose could be evidences that multilateralism was a preference which was
embraced by the MoFA as a state institution. 56 “The Family State: A Non-Realist Approach to Understanding Indonesia’s Foreign Policy,” Asian Journal of Political
Science 27, no. 3 (September 2, 2019): 6–7, https://doi.org/10.1080/02185377.2019.1686997.
57 R.L Pattiradjawane and N. Soebagio, “Global Maritime Axis: Indonesia, China, and a New Approach to Southeast Asian
Regional Resillience,” International Journal of China Studies 6, no. 2 (2015): 179.
58 MoFA-RI, “International Day of Multilateralism and Diplomacy for Peace High-Level Meeting of the General
Assembly,” Ministry of Foreign Affairs of The Republic of Indonesia, April 24, 2019,
https://kemlu.go.id/newyork-un/en/read/statement-at-the-international-day-of-multilateralism-and-diplomacy-
for-peace-high-level-meeting-of-the-general-assembly/2610/etc-menu.
59 MoFA-RI, “Strategic Purposes Of The Indonesian Foreign Policy (Accessed 1 August 2020) | Portal
Kementerian Luar Negeri Republik Indonesia,” Ministry of Foreign Affairs of The Republic of Indonesia, March
25, 2019, https://kemlu.go.id/portal/en/read/19/halaman_list_lainnya/strategic-purposes-of-the-indonesian-
foreign-policy (accessed 1 August 2020).
60 Ted Piccone “Do New Democracies Support Democracy? The Multilateral Dimension ” Journal of 61 “The Impact of Democratisation on Indonesia’s Foreign Policy: Regional Cooperation” (The London School
of Economics and Political Science, 2014), 77–78. 60 Ted Piccone, “Do New Democracies Support Democracy? The Multilateral Dimension,” Journal of
Democracy 22, no. 4 (2011): 140, https://doi.org/10.1353/JOD.2011.0063. 62 Desca LN and Rahmat Nasution, “Indonesia Needs Spirit of ‘gotong Royong’ in COVID-19 Fight: Jokowi,”
Antara New, 2020, https://en.antaranews.com/news/146268/indonesia-needs-spirit-of-gotong-royong-in-covid-
19-fight-jokowi.
63 Office of Assistant to Deputy Cabinet Secretary for State Documents and Translation, “President Jokowi Calls
for Close Cooperation among Countries to Tackle COVID-19,” Office of Assistant to Deputy Cabinet Secretary
for State Documents and Translation, 2021, https://setkab.go.id/en/president-jokowi-calls-for-close-cooperation-
among-countries-to-handle-covid-19/.
64 Hiebert, “Indonesia Steps Up Global Health Diplomacy: Bolsters Role in Addressing International Medical
Challenges.”
65 Kiswondari, “DPR Minta Kemlu Maksimalkan Diplomasi Dalam Penanggulangan Covid-19,”
Sindonews.com, 2020, https://nasional.sindonews.com/read/78374/12/dpr-minta-kemlu-maksimalkan-diplomasi-
dalam-penanggulangan-covid-19-1592878004.
66 Lawrence O Gostin and Rebecca Katz, “The International Health Regulations: The Governing Framework for
Global Health Security,” The Milbank Quarterly 94, no. 2 (June 1, 2016): 266–67,
https://doi.org/https://doi.org/10.1111/1468-0009.12186.
67 Uluslararası İlişkiler Konseyi and Dilaver Açar, Global Governance and the COVID-19 Pandemic, 2021, 10,
https://doi.org/10.13140/RG.2.2.35706.31687.
68 Gostin and Katz, “The International Health Regulations: The Governing Framework for Global Health
Security,” 267–68. a. Drivers of Indonesia’s Multilateralism As the constructivist approach suggests, an actor’s behavior is dependent on the norm-based
identity. In the domestic level, Indonesia’s multilateralism reflecting gotong royong was embraced and
practiced by the MoFA. The norm was a basis of the MoFA’s identity construction through which
represented the state identity, interest and behavior. Ted Piccone noted that Indonesia already
experienced a significant reorientation in its foreign policy due to the remarkable transformation to
open and pluralist democracy following the regime change. 60 Despite the fact that democratization has
also occured to the foreign policy making institution during reformation era, Muhammad Hadianto
Wirajuda in his dissertation “The Impact of Democratization on Indonesia’s Foreign Policy” argues
that the MoFA is still the most central body in Indonesian foreign policy making. Such situation
enabled what the MoFA believed to be tranformed into Indonesia’s policy. 61 By this explanation, we erdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic assumed and believed that the idea of ‘gotong royong’ fits in to our explanation of Indonesia’s
multilateralism as its approach to response and overcome the pandemic of Covid-19. In addition to the MoFA’s capability of constructing the state identity, this paper attempts not
to ignore other executive bodies such as the President and the MoH in the Indonesian foreign policy. President Jokowi has repeatedly utilized the speech on gotong royong in fighting the Covid-19 in
domestic level62 and called on close cooperation among states to tackle the pandemic63. The MoFA’s
actions would not be independent from the president’s approval as he acted as a head of the republic’s
government. The MoH also recorded a number of international engagements regarding global health
issues64. Thus, the MoH has been the important part of foreign policy making when it comes to health
issues. In addition to executive body, the Indonesian parliament also demanded the MoFA to
maximize Indonesia’s diplomacy to defend multilateralism practice65. sThose actors’ role played a part
as the push factor strengthening the MoFA’s commitment to the norm of gotong royong which then
influenced the state preference on multilateralism. The IHR was officially established in 1969 as a revision of the previously known the 1951
International Sanitary Regulation (ISR). The regulation was fundamentally revised in 2005 following
the spread of new endemic diseases as well as viral outbreak in some parts of the word. 66 The
regulation aims to: 62 Desca LN and Rahmat Nasution, “Indonesia Needs Spirit of ‘gotong Royong’ in COVID-19 Fight: Jokowi,”
Antara New, 2020, https://en.antaranews.com/news/146268/indonesia-needs-spirit-of-gotong-royong-in-covid-
19-fight-jokowi. 66 Lawrence O Gostin and Rebecca Katz, “The International Health Regulations: The Governing Framework for
Global Health Security,” The Milbank Quarterly 94, no. 2 (June 1, 2016): 266–67,
https://doi.org/https://doi.org/10.1111/1468-0009.12186. 63 Office of Assistant to Deputy Cabinet Secretary for State Documents and Translation, “President Jokowi Calls
for Close Cooperation among Countries to Tackle COVID-19,” Office of Assistant to Deputy Cabinet Secretary
for State Documents and Translation, 2021, https://setkab.go.id/en/president-jokowi-calls-for-close-cooperation-
among-countries-to-handle-covid-19/. 67 Uluslararası İlişkiler Konseyi and Dilaver Açar, Global Governance and the COVID-19 Pandemic, 2021, 10,
https://doi.org/10.13140/RG.2.2.35706.31687. 68 Gostin and Katz, “The International Health Regulations: The Governing Framework for Global Health
Security,” 267–68. 65 Kiswondari, “DPR Minta Kemlu Maksimalkan Diplomasi Dalam Penanggulangan Covid-19,”
Sindonews.com, 2020, https://nasional.sindonews.com/read/78374/12/dpr-minta-kemlu-maksimalkan-di
dalam-penanggulangan-covid-19-1592878004. among-countries-to-handle-covid-19/.
64 Hiebert, “Indonesia Steps Up Global Health Diplomacy: Bolsters Role in Addressing International Medical
Challenges.” 65 Kiswondari, “DPR Minta Kemlu Maksimalkan Diplomasi Dalam Penanggulangan Covid-19,” “Prevent, protect against, control and provide a public health response to the international
spread of disease in ways that are commensurate with and restricted to public health risks,
and which avoid unnecessary interference with international traffic and trade.” 67 “Prevent, protect against, control and provide a public health response to the international
spread of disease in ways that are commensurate with and restricted to public health risks,
and which avoid unnecessary interference with international traffic and trade.” 67 The IHR is an international treaty upholding global cooperation to make the world more
secured which is also often called a governing framework for global health security and the WHO is
the one responsible to ensure its implementation among the member states. The regulation suggests
that all states cooperate when facing a global threat of infectious disease. The WHO requires the member states to develop and meet core capacities in the IHR such as
to detect, assess, report and respond to potential public emergencies of international concern. In spite
of aiming to prevent, protect against, control and provide a public health response to international
spread of disease, the IHR embraces a balancing dynamic of three things; public health, commerce and
human rights. 68 It means that state domestic measures to tackle any infectious disease and other health 62 Desca LN and Rahmat Nasution, “Indonesia Needs Spirit of ‘gotong Royong’ in COVID-19 Fight: Jokowi,”
Antara New, 2020, https://en.antaranews.com/news/146268/indonesia-needs-spirit-of-gotong-royong-in-covid-
19-fight-jokowi. 63 Office of Assistant to Deputy Cabinet Secretary for State Documents and Translation, “President Jokowi Calls
for Close Cooperation among Countries to Tackle COVID-19,” Office of Assistant to Deputy Cabinet Secretary
for State Documents and Translation, 2021, https://setkab.go.id/en/president-jokowi-calls-for-close-cooperation-
among-countries-to-handle-covid-19/. 64 Hiebert, “Indonesia Steps Up Global Health Diplomacy: Bolsters Role in Addressing International Medical
Ch ll
” 67 Uluslararası İlişkiler Konseyi and Dilaver Açar, Global Governance and the COVID-19 Pandemic, 2021, 10,
https://doi.org/10.13140/RG.2.2.35706.31687. erdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic problem risks should be neither restrictive to international travel and trade nor harmful to human rights
as written in a number of IHR’s articles. Indonesia has been complying with the revised IHR since 2007 and established its national
commission for the implementation in 2011. 69 Indonesia announced its achievement to meet the IHR
core capacity requirements in 2014. 70 The committment to the preparedness from detecting to
responding to the previous avian influenza, SARS and MERS-CoV could be examples of Indonesia’s
favor of the IHR. “Prevent, protect against, control and provide a public health response to the international
spread of disease in ways that are commensurate with and restricted to public health risks,
and which avoid unnecessary interference with international traffic and trade.” 67 This research not only viewed gotong royong as an Indonesian domestic norm but it also
viewed the IHR as a global norm in relations between states and other international communities as
suggested by the holistic constructivism. The WHO was the most important actor which encouraged
the member states to adopt the IHR in their domestic efforts to handle any threat of infectious disease. As a norm entrepreneur, the health organization is at the forefront of international parnership including
with Indonesia. In addition, Indonesia’s experience in handling the previous infectious diseases
strengthened its belief to be with the WHO and IHR. Handling the current Covid-19 could be a
dilemma for Indonesia; saving domestic public health without harming international travel and trade. Nevertheless, the dynamic balance prescribed in the IHR was a value to which Indonesia was
committed. The global norm contributed to the construction of Indonesia’s identity through interactions
with other international actors as well as its interpretation of their behaviors. The identity led Indonesia
to prefer multilateralism in responding to the Covid-19. Multilateralism which is a common good has
been adopted by the United Nations (UN) as written in its charter. As the representation of states, the
UN could be the most active body promoting multilateralism and the United Nations’ General
Assembly (UNGA) already adopted a resolution on the International Day of Multilateralism and
Diplomacy for Peace. Multilateralism is also a common value adopted by the European Union and
emerging powers. 71 So do small and developing states convey their concern on multilateral efforts in
many challenging global issues. Considering the trend of multilateralism, Indonesia trusted that
working with international institutions would more effectively solve global issues rather than with
unilateral measures. According to the constructivist approach, normative structure and state mutually constitute. This paper argues that Indonesia’s identity was constructed by the domestic norm of gotong royong
and international norm of IHR leading its foreign policy to embrace multilateralism. In other words,
multilateralism was a collective expectation constructed by the state (and domestic actors). Upon
realizing its norm-based identity, Indonesia had to consider what action was proper to respond to the
Covid-19. In this case, taking multilateralism-laden foreign policy to mitigate the pandemic was
Indonesia’s preference. 69 Nyoman Kumara Rai et al., “Strengthening Emergency Preparedness and Response Systems: Experience from
Indonesia,” WHO South-East Asia Journal of Public Health 9, no. 1 (2020): 27,
https://apps.who.int/iris/handle/10665/331827.
70
i
l 2 71 Hans W Maull, “Multilateralisml: Variants, Potential, Constraints and Conditions for Success,” March (Berlin,
2020), 1. W Maull, “Multilateralisml: Variants, Potential, Constraints and Conditions for Success,” March (Berlin, b. Upholding Multilateralism to Mitigate the Covid-19 The Covid-19 is a global problem which has been affecting all states very quickly regardless
their geographical distance, economic capability and preparedness. The actions of a few states 1 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandem ironically did not reflect constructive diplomacy since they tended to be uncoordinated and encouraged
by the nationalistic sentiment instead of response as part of international society. 72 One of the
phenomena is state isolationism. In classical realism thoughts, it is rational for state to put forward its
own national interest regarding to its consideration on anarchic international system and its struggle
for power among other nations. This isolationism apparently has influenced and shaped—some of but
not all—major powers’ behaviors and policies toward Covid-19. United Kingdom is one of countries
which applied some isolationist policy in response to Covid-19 regarding to the travel restrictions and
visas suspension for immigrant workers. 73 Ralf Roloff also noted that a few European states took
similar measures such as France, Italy and Spain at the beginning of the pandemic74. Another example
is related to ‘vaccine nationalism’ where states regulate agreements with its pharmaceutical sectors to
only supply their own populations with vaccines ahead of them becoming available for others due to
strong public and political pressures and fear of waning immunity. 75 While some countries exhibit characteristics of isolationism, endangering the health and food
supply chains that are currently required to combat the effect of the Covid-19, it shows that many other
states are doing the exact opposite, reaching out through international cooperation, and seeing the
benefits of internationalism rather than isolationism. No exception for Indonesia, which realized that
each state would hardly be able to avoid it. Instead, Indonesia believed that only with cooperation and
collaboration would all states be able to mitigate the pandemic. Indonesia believed that multilateralism opened the pathway for all sides to tackle all issues
including the Covid-19 through coordinations to cooperations and from which the interests of states
could find middle grounds. Indonesia was putting efforts to engage with both global and regional
organizations in order to mitigate the pandemic in addition to maintainig support to the WHO. 75 Caroline E Wagner et al., “Vaccine Nationalism and the Dynamics and Control of SARS-CoV-2.,” Science
(New York, N.Y.) 373, no. 6562 (September 2021): eabj7364, https://doi.org/10.1126/science.abj7364.
76 Rebecca Katz et al., “Global Health Security Agenda and the International Health Regulations: Moving
Forward,” Biosecurity and Bioterrorism-Biodefense Strategy Practice and Science 12 (2014): 231–38. ,
p
y
,
g
,
73 James Melville, “Isolationism Is Not the Way Forward during Coronavirus | Coronavirus Pandemic | Al
Jazeera,” Aljazeera, April 10, 2020, https://www.aljazeera.com/opinions/2020/4/10/isolationism-is-not-the-way-
forward-during-coronavirus. A Triwibowo, “Diplomacy and Covid-19: A Reflection,” Jurnal Ilmiah Hubungan Internasional, 2020. g
74 Ralf Roloff, “COVID-19 and No One’s World,” Connections 19, no. 2 (2020): 25–37. 72 A Triwibowo, “Diplomacy and Covid-19: A Reflection,” Jurnal Ilmiah Hubungan Internasional, 2020.
73 James Melville, “Isolationism Is Not the Way Forward during Coronavirus | Coronavirus Pandemic | Al
Jazeera,” Aljazeera, April 10, 2020, https://www.aljazeera.com/opinions/2020/4/10/isolationism-is-not-the-way-
forward-during-coronavirus.
74 Ralf Roloff, “COVID-19 and No One’s World,” Connections 19, no. 2 (2020): 25–37.
75 Caroline E Wagner et al., “Vaccine Nationalism and the Dynamics and Control of SARS-CoV-2.,” Science
(New York, N.Y.) 373, no. 6562 (September 2021): eabj7364, https://doi.org/10.1126/science.abj7364.
76 Rebecca Katz et al., “Global Health Security Agenda and the International Health Regulations: Moving
Forward,” Biosecurity and Bioterrorism-Biodefense Strategy Practice and Science 12 (2014): 231–38. ew York, N.Y.) 373, no. 6562 (September 2021): eabj7364, https://doi.org/10.1126/science.abj7364.
Rebecca Katz et al., “Global Health Security Agenda and the International Health Regulations: Moving
rward,” Biosecurity and Bioterrorism-Biodefense Strategy Practice and Science 12 (2014): 231–38. better deal with future outbreaks.” 77 better deal with future outbreaks.” 77 The WHO was facing some critisisms over its lack of transparency and China-centric response
accusation. 78 In addition, A. Chapelan 79 argued that the termination of the U.S - WHO relationships
could worsen existing global health governanance crisis. Brett Meyer noted that populist leaders in a
few states would either downplay or take the Covid-19 seriously80. Though they took different initial
actions to respond to the pandemic, they had similar policy putting aside the WHO’s views on the new
disease. Indonesia, however, still retained trust on the health organization which would coordinate the
international cooperation against the Covid-19. Instead, as a member of the WHO, Indonesia expected
that the global health organization would be able to facilitate cooperation for effective mitigation on
the pandemic. Furthermore, it would suggest that the WHO evaluate how much the current health
governance system could work against the pandemic and some future similar issues. The stand
indicated that Indonesia admitted the importance to continue standing behind the organization. That the Indonesian government such as the most apparent the Indonesian Minister of Health,
Lt Gen (Ret.) Terawan Agus Putranto downplayed the Covid-19 at the beginning of the Covid-19
spread in January and February 2020 did not mean Indonesia rejected multilateralism. We assume it
was merely a domestic effort to prevent panic among citizens and maintain domestic stability. Furthermore, Indonesia and other states in the world were still blind about the new disease during the
first two months of its spreading and were still waiting for more official guidances from the WHO. In
fact, the MoH was one of the participants in the Foreign Policy and Global Health (FPGH) which
officially stated to back the WHO and international cooperation against the Covid-1981. The
commitment was increasing following the WHO’s declaration on the pandemic status of the Covid-19. The WHO issued priority strategies in March 2020 in responding to the Covid-19 ranging
from expanding, training and deploying health-care workers; implementing systems to locate
suspected cases; raising production of tests and availability; identifying facilities which could be
transformed into health centres; developing plans to quarantine cases; and refocussing measures on
suppressing the virus. 82 The strategies were to be undertaken by all states including Indonesia which
counted on the organization as its commitment to the multilateralism. Maintaining Trust on and Support to the WHO The The IHR urges the WHO and global communities’ responsibility to share resources,
information and expertise to help states to prepare for and respond to the health emergencies76. The
regulation entrusts the WHO to be the most leading global organization to consolidate efforts and
encourage states to comply with it. Embracing the global norm, Indonesia suggested the global health
organization be not ignored during the Covid-19 as Minister Marsudi said during her remark at the
video conference of Ministerial Meeting for the Alliance for Multilateralism (MM-AM) on 16 April
2020 recorded by the MoFA: “No country is able to overcome this crisis alone. In this connection, we have no other option
but to count on the WHO to be a platform of cooperation among countries. This crisis
provides a momentum to review the global health governance system so that it will be able to 42 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic 77 MoFA-RI, “Joint Statement Of The Special Asean Plus Three Summit On Coronavirus Disease 2019 Covid 19
| Portal Kementerian Luar Negeri Republik Indonesia,” Ministry of Foreign Affairs of the Republic of Indonesia,
April 14, 2020, https://kemlu.go.id/portal/en/read/1206/pidato/joint-statement-of-the-special-asean-plus-three-
summit-on-coronavirus-disease-2019-Covid-19.
78 Balogun and Soile, “‘Pandemic Diplomacy’ and The Politics of Paradox: International Cooperation in The
Age of Distancing,” 423.
79 “The World Health Organization and the Political Embroilment of Wounded Multilateralism,” Revista de
Stiinte Politice 8, no. March 29 (2020): 137,
https://library.laredo.edu/eds/detail?db=edsdoj&an=edsdoj.383b84c377194dd7a91923e34c7e954a.
80 Brett Meyer, “Pandemic Populism: An Analysis of Populist Leaders’ Responses to Covid-19.,” The Tony
Blair Institute for Global Change., 2020, https://institute.global/policy/pandemic-populism-analysis-populist-
leaders-responses-covid-19.
81 Ministry of Health Republic of Indonesia, “Komitmen Kemenkes Mendukung WHO Dan Kerjasama
Internasional Menghadapi COVID 19.,” Ministry of Health Republic of Indonesia, 2020,
https://sehatnegeriku.kemkes.go.id/baca/umum/20200518/3033922/indonesia-pimpin-foreign-policy-and-global-
health-dukung-upaya-global-akhiri-pandemi-covid-19/.
82 Djalante et al., “Review and Analysis of Current Responses to COVID-19 in Indonesia: Period of January to
March 2020,” 2. 77 MoFA-RI, “Joint Statement Of The Special Asean Plus Three Summit On Coronavirus Disease 2019 Covid 19
| Portal Kementerian Luar Negeri Republik Indonesia,” Ministry of Foreign Affairs of the Republic of Indonesia,
April 14, 2020, https://kemlu.go.id/portal/en/read/1206/pidato/joint-statement-of-the-special-asean-plus-three-
summit-on-coronavirus-disease-2019-Covid-19. 81 Ministry of Health Republic of Indonesia, “Komitmen Kemenkes Mendukung WHO Dan Kerja
Internasional Menghadapi COVID 19.,” Ministry of Health Republic of Indonesia, 2020,
https://sehatnegeriku.kemkes.go.id/baca/umum/20200518/3033922/indonesia-pimpin-foreign-pol
health-dukung-upaya-global-akhiri-pandemi-covid-19/ 81 Ministry of Health Republic of Indonesia, “Komitmen Kemenkes Mendukung WHO Dan Kerjasama
Internasional Menghadapi COVID 19.,” Ministry of Health Republic of Indonesia, 2020,
h
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li Balogun and Soile, “‘Pandemic Diplomacy’ and The Politics of Paradox: International Cooperation in Th
ge of Distancing,” 423. g
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,
https://sehatnegeriku.kemkes.go.id/baca/umum/20200518/3033922/indonesia-pimpin-foreign-policy-and
health-dukung-upaya-global-akhiri-pandemi-covid-19/. p
81 Ministry of Health Republic of Indonesia, “Komitmen Kemenkes Mendukung WHO Dan Kerjasama
Internasional Menghadapi COVID 19.,” Ministry of Health Republic of Indonesia, 2020,
https://sehatnegeriku.kemkes.go.id/baca/umum/20200518/3033922/indonesia-pimpin-foreign-policy-and-global-
health-dukung-upaya-global-akhiri-pandemi-covid-19/.
82 Djalante et al “Review and Analysis of Current Responses to COVID 19 in Indonesia: Period of January to p
y
j
j
Brett Meyer, “Pandemic Populism: An Analysis of Populist Leaders’ Responses to Covid-19.,” The Tony
air Institute for Global Change., 2020, https://institute.global/policy/pandemic-populism-analysis-populist
aders-responses-covid-19. Ministry of Health Republic of Indonesia, “Komitmen Kemenkes Mendukung WHO Dan Kerjasama
ternasional Menghadapi COVID 19 ” Ministry of Health Republic of Indonesia 2020 82 Djalante et al., “Review and Analysis of Current Responses to COVID-19 in Indonesia: Period of January to
March 2020,” 2. 83 Hameiri, “Avian Influenza, ‘Viral Sovereignty’, and the Politics of Health Security in Indonesia,” 334.
84 David P Fidler, “Influenza Virus Samples, International Law, and Global Health Diplomacy,” Emerging
Infectious Diseases 14, no. 1 (2008): 88.
85 Shawn Smallman, “Biopiracy and Vaccines: Indonesia and the World Health Organization’s New Pandemic
Influenza Plan,” Journal of International & Global Studies, 2013.
86 Cornelia Clara Tifany, “Securitization on the Spread of COVID-19 in Indonesia [Sekuritasasi Dalam
Penyebaran Covid-19 Di Indonesia],” Jurnal Politica Dinamika Masalah Politik Dalam Negeri Dan Hubungan
Internasional 11, no. 2 (December 5, 2020): 139, https://doi.org/10.22212/JP.V11I2.1749. better deal with future outbreaks.” 77 Indonesia also stepped up its
support to the Global Alliance for Vaccine and Immunization (GAVI) as the WHO’s partner in 82 Djalante et al., “Review and Analysis of Current Responses to COVID-19 in Indonesia: Period of January to
March 2020,” 2. erdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic researching, developing, producing and distributing the Covid-19 vaccines to all states. Such support
was aimed to prevent any state of finding itself difficult to access the vaccines. Indonesia kept announcing the vital role of the WHO in a number of international fora and
kindly demanded international communities to keep cooperating with the organization. By doing so,
Indonesia and others could support the health organization as a global platform to address the Covid-
19 collectively. Indonesia believed in the organization for having experience and expertise when
facing many challenges on past global health issues. Indonesia cooperated in a number of health issues
together with it as well. Even when the viral dispute of avian influenza between the two once occured,
the health cooperations between the officials preserved. 83 Regarding Indonesia’s decision to withhold the avian influenza virus samples to the WHO by
the end of 2006, we argue that the action did not mean that Indonesia withdrew itself from
multilateralism practice. Indonesia’s demand to the WHO was the effort to call on major changes in
global influenza vaccine production and distribution mechanism towards an equitable, fair, and
transparent mechanism. Fidler noted Indonesia was discontent with the Global Influenza Surveillance
Network led by the WHO which shared virus samples to the vaccine manufacturers based in the
developed states without the consent of source states84. While the developed states could produce the
vaccines and patent them, the developing states would have a little access to them. Indonesia’s stand to
dispute the viral sharing was supported by other developing states and the Third World Network
(TWN); an international non-governmental advocacy group promoting the reform on the global health
governance. Indonesia demanded multilateralism in fighting avian influenza providing benefits for all. In addition, Indonesia was willing to resolve the dispute with the WHO through multilateral
processes mediated by the World Health Assembly (WHA). The WHO accommodated Indonesia and
developing world states’ aspiration by issuing the 2011 Pandemic Influenza Plan in order to provide
better access to the vaccines85. Engaging within Global and Regional Frameworks In order to ensure all international entities to engage in international collaboration and
cooperation, Indonesia believed that solidifying international solidarity was prerequisite. The
cooperation emboldened by solidarity without stigma and discrimination should be advanced as all
states shared responsibility to fight the Covid-19. Indonesia together with other five states, namely
Ghana, Liechtenstein, Norway, Singapore and Switzerland pushed the global solidarity against the
Covid-19 pandemic to be a resolution of the UNGA on 2 April 2020 which was supported by 188
member states. 87 It was the effort within Indonesia’s diplomacy mainly to solidify the global solidarity
facing adversity amidst the rising trend of unilateralism among a number of states. Due to the fact that the Covid-19 caused numerous impacts, Indonesia expected that through
multilateral institutions all states would not face difficulties in accessing all needs such as essential
protective equipment as well as other medical supplies. Meanwhile, following the outbreak the trade
should not be disrupted in order to minimize the economic loss. In this regard, at the Video
Conference Ministerial Meeting for the Alliance for Multilateralism as recorded by the MoFA,
Minister Marsudi said, “We must ensure that our multilateral system delivers to address the immediate
need of our people.” 88 Indonesia conveyed a message that all states regardless their status should be
able to take advantage of international cooperation and collaboration which were valued in
multilateralism especially during the deadly pandemic. In times of early Covid-19, as delivered by Minister Marsudi at the CSIS Indonesia’s
discussion forum, Indonesia was engaging with several regional or global groupings to respond to the
pandemic such as the ASEAN Plus Three Special Summit (APT-SS), Organization of Islamic
Cooperation Steering Committee on Health (OIC-SCH), Group of Twenty Extraordinary Leaders
Summit (G20-ELS), and International Coordination Group on Covid-19 (ICGC). 89 ASEAN was the first regional institution maintaining commitment to colaborative culture
when self-help mechanism was increasing among many states in response to the Covid-19. 90 On 14
April 2020, ASEAN member states along with China, Japan and ROK held a joint statement on the
Covid-19 following a few meetings among their leaders. 87 Harun Umar and Irma Indrayani, “Foreign And Domestic Policy, Diplomacy and Cooperation, International
Political Dynamics),” Journal of Social Political Sciences 1, no. 2 (May 31, 2020): 113, http://e-
journal.unas.ac.id/index.php/jsps/article/view/14.
88 MoFA-RI, “Remarks Minister For Foreign Affairs Of The Republic Of Indonesia Video Conference Ministerial Meeting
For The Alliance For Multilateralism | Portal Kementerian Luar Negeri Republik Indonesia,” Ministry of Foreign Affairs of
The Republic of Indonesia, April 16, 2020, https://kemlu.go.id/portal/id/read/1226/pidato/remarks-minister-for-foreign-
affairs-of-the-republic-of-indonesia-video-conference-ministerial-meeting-for-the-alliance-for-multilateralism.
89 Retno LP Marsudi, “International Cooperation to Mitigate #COVID19: Indonesia, Southeast Asia, and Beyond | CSIS,”
CSIS Indonesia, April 17, 2020, https://csis.or.id/events/international-cooperation-to-mitigate-covid19-indonesia-southeast-
asia-and-beyond.
90 Riska Putri Hariyadi, “Singapura Dan Asean: Analisis Relasi Negara dan Institusi Kawasan di Tengah Pandemi Covid-19,”
Jurnal Dinamika Global 5, no. 02 (December 10, 2020): 312, https://doi.org/10.36859/JDG.V5I02.219.
91 MoFA-RI, “Joint Statement Of The Special Asean Plus Three Summit On Coronavirus Disease 2019 Covid 19 | Portal
Kementerian Luar Negeri Republik Indonesia.” 90 Riska Putri Hariyadi, “Singapura Dan Asean: Analisis Relasi Negara dan Institusi Kawasan di Tengah Pandemi Covid-19,”
Jurnal Dinamika Global 5, no. 02 (December 10, 2020): 312, https://doi.org/10.36859/JDG.V5I02.219.
91 MoFA-RI, “Joint Statement Of The Special Asean Plus Three Summit On Coronavirus Disease 2019 Covid 19 | Portal
Kementerian Luar Negeri Republik Indonesia.”
92 MoFA RI y
Riska Putri Hariyadi, “Singapura Dan Asean: Analisis Relasi Negara dan Institusi Kawasan di Tengah Pandemi Covi
rnal Dinamika Global 5, no. 02 (December 10, 2020): 312, https://doi.org/10.36859/JDG.V5I02.219. better deal with future outbreaks.” 77 During the dispute, Indonesia did not cease its relations with the WHO
and other aspects of cooperation beyond the viral sharing continued between the two. We propose an
argument that apart from the its experience and expertise, the WHO’s decision to finally accommodate
Indonesia’s demand has helped the state regain trust on the organization in fighting the pandemic. The
latter event contributed to the Indonesia’s position towards the WHO in tackling the Covid-19 as well. Furthermore, Indonesia’s willingness to finally securitize the Covid-19 pandemic at home was
influenced by the WHO. 86 Indonesia saw the organization having a role as a global health governance
in disease control as mandated by the IHR despite its past unpleasant experience. Maintaining trust on
and support to the WHO indicated that Indonesia upholded multilateralism in its foreign policy in
responding to the Covid-19. As suggested by the constructivism, Indonesia’s behavior towards the
organization was driven by its identity constructed by both domestic and global norm. While the norm
of gotong royong prescribed Indonesia to cooperate with the WHO as frequently argued by Minister
Marsudi and the MoFA, the norm of IHR suggested that the organization receive mandate to facilitate
and coordinate the health emergency response among states. In other words, the norms regulated 4 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandem Indonesia to stand together with the health organization to fight against the pandemic. 45 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic 45 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic The OIC played its role in curbing the Covid-19 in the Moslem world as its charter paved the
cooperation and coordination among member states in humanitarian emergencies. 93 The OIC-SCH
facilitated the sharing of knowledge and information on the pandemic and discussion of ways and
means to coordinate individual and collective response alike among the member states. Indonesia kept
inviting the member states to strengthen coordination and cooperation against the pandemic. In March 2020, G20 leaders held an extraordinary summit on Covid-19 and delivered their
commitment to overcoming the pandemic together with its global partners. 94 During the summit, the
G20 leaders was raising concern on fighting the pandemic, safeguarding global economy, addressing
international trade disruptions and enhancing global cooperation. The summit recognized the
pandemic as a common threat that solidarity along with a transparent, robust, coordinated, large-scale
and science-based global response was necessary in interconnected and vulnerable world. Minister Marsudi reiterated such virtual meetings were the concrete forms of partnership
which had to be continuously carried out to tackle global problem especially in the unprecedented
situation caused by the Covid-19. 95 Moreover, Indonesia realized that its stand could only be heard in
international fora in which it actively participated in addressing the pandemic. Therefore, Indonesia
used all channels available to coordinate, collaborate and cooperate with international communities in
both regional and global level. Not only could such channels facilitate cooperation in responding to the
pandemic, they could be suitable media to promote Indonesia’s call for sustaining multilateralism. The ICGC was aimed to resolve challenges regarding the Covid-19 especially the vaccines. The vaccine invention was the key global effort that would only stop the virus and it was,
unfortunately, like a race among states and their companies to be the first producers. Indonesia’s
efforts to ensure the vaccine affordability could be the challenge in its diplomacy since the production
and distribution would be concentrated in developed states. However, Indonesia kept sounding that the
vaccine allocation should be equitable for all including the vulnerable groups96. In addition, at the
ICGC forum, Indonesia also proposed a platform with which companies from different states could
cooperate in increasing capacity and production of health equipment and medicines within joint
production schemes97. The above mentioned roles were played by Indonesia to show its commitment to
multilateralism practice. 93 M Hussain, Socio-Economic Impacts of Covid-19 Pandemic in OIC Member Countries: Prospects and Challenges
(Ankara: Statistical, Economic, and Social Research and Training Centre for Islamic Countries, 2020).
94 Wiwiek Rukmi Dwi Astuti, “Kerja Sama G20 Dalam Pemulihan Ekonomi Global Dari COVID-19,” Andalas Journal of
International Studies (AJIS) 9, no. 2 (November 30, 2020): 138, https://doi.org/10.25077/AJIS.9.2.131-148.2020.
95 Jessica Martha, “Pemanfaatan Diplomasi Publik Oleh Indonesia Dalam Krisis Covid-19,” Jurnal Ilmiah Hubungan
Internasional, 2020.
96 Abdul Kadir Jailani, “How Indonesian Diplomacy Can Ensure Equitable Access to Covid-19 Vaccine,” Jakarta Globe,
2020, https://jakartaglobe.id/opinion/how-indonesian-diplomacy-can-ensure-equitable-access-to-covid19-vaccine.
97 Anadolu Agency, “Indonesia Usulkan Negara ICGC Kerja Sama Alat Kesehatan Covid-19,” Anadolu Agency, 2020,
https://www.aa.com.tr/id/nasional/indonesia-usulkan-negara-icgc-kerja-sama-alat-kesehatan-Covid-19/1822241.
98 Yulius P. Hermawan and Ahmad D. Habir, “Indonesia and International Institutions: Treading New Territory,” in
Indonesia’s Ascent: Power, Leadership, and the Regional Order (London: Palgrave Macmillan UK, 2015), 188,
https://doi.org/10.1057/9781137397416_9.
99 “Th R l
f Middl P
i A i
M ltil t
li
” A i P li
25
4 (2018) 42 43 p
g
99 “The Role of Middle Powers in Asian Multilateralism,” Asia Policy 25, no. 4 (2018): 42–43,
https://doi.org/10.1353/ASP.2018.0060. Engaging within Global and Regional Frameworks 91 The MoFA announced that the summit
acknowledged people’s participation and welcomed international financial institutions to support states
in need using and enhancing their instruments in addition to stressing the importance of the WHO’s
role in leading campaign to control and contain the viral spread and to implement health measures
under the IHR. 92 Since the APT had role in creating peace, security and prosperity in East Asia,
Indonesia expected the role of APT to build solidarity and cooperation in responding to the pandemic
in the region. 46 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic 46 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic Not only was Indonesia promoting the spirit of multilateralism but it was also encouraging
collective leadership and win-win solutions in responding to the Covid-19. Such action was in
accordance with the characteristic of today global problems. They could be more complex,
multidimensional and wide-ranging so that international actors need global institutional cooperation
more than ever. 100 Engaging within global and regional frameworks reflected Indonesia (and the MoFA)’s
preference of multilateralism practice. In addition to the domestic norm of gotong royong, Indonesia
realized that the IHR demanded states not only to cooperate but also to maintain the economy without
harming people’s rights in the middle of national and international efforts to mitigate the health
emergency. None of state policies should risk other states including people during the the Covid-19
pandemic. Therefore, cooperation was the best option appropriate to its identity which was constituted
by the norms as suggested by the constructivist approach. 100 Konseyi and Açar, Global Governance and the COVID-19 Pandemic, 1.
101 Marsudi, “Cooperation: The Catalyst for Fighting the COVID-19 Crisis - Opinion - The Jakarta Post.”
102 Marsudi, “International Cooperation to Mitigate #COVID19: Indonesia, Southeast Asia, and Beyond | CSIS.”
103 Marsudi.
104 Marsudi.
105 Dyah Gandasari and Diena Dwidienawati, “Content Analysis of Social and Economic Issues in Indonesia during the
COVID-19 Pandemic,” Heliyon 6, no. 11 (November 1, 2020), https://doi.org/10.1016/J.HELIYON.2020.E05599. 105 Dyah Gandasari and Diena Dwidienawati, “Content Analysis of Social and Economic Issues in Indonesia during the
COVID-19 Pandemic,” Heliyon 6, no. 11 (November 1, 2020), https://doi.org/10.1016/J.HELIYON.2020.E05599. 103 Marsudi.
104 Marsudi.
105 Dyah Gandasari and Diena Dwidienawati, “Content Analysis of Social and Economic Issues in Indonesia during the
COVID-19 Pandemic,” Heliyon 6, no. 11 (November 1, 2020), https://doi.org/10.1016/J.HELIYON.2020.E05599. y
ç ,
,
101 Marsudi, “Cooperation: The Catalyst for Fighting the COVID-19 Crisis - Opinion - The Jakarta Post.”
102 Marsudi, “International Cooperation to Mitigate #COVID19: Indonesia, Southeast Asia, and Beyond | CSIS.”
103 M
di 45 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic Indonesia could undertake such roles thanks to its active engagement in
various international institutions long attached to its foreign policy under a traditional independent and
active guiding narrative. In addition, Indonesia believed that multilateral institutions could work better
to solve global problems as it had repeatedly expressed idealistic views on the role of international
institutions as agencies sharing benefits to all sides. 98 Indonesia’s role was aligned with the common
practice among the Asian states considering norms into their foreign policy as well. Ralf Emmers 99
suggested that the Asian states show its involvement with global institutions through normative
strategy in order to manage negative impacts of competitions. 106 Prawita Meidi Handayani, “Nationalism Over Globalization amidst COVID-19 Pandemic and Its Impact on Indonesia’s
Food Security,” Jurnal Politica Dinamika Masalah Politik Dalam Negeri Dan Hubungan Internasional 11, no. 2 (December
5, 2020): 151, https://doi.org/10.22212/JP.V11I2.1751.
107 Gostin and Katz, “The International Health Regulations: The Governing Framework for Global Health Security,” 268.
108 Muhyiddin Muhyiddin and Hanan Nugroho, “A Year of Covid-19: A Long Road to Recovery and Acceleration of
Indonesia’s Development,” Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning 5, no. 1
(April 30, 2021): 3, https://doi.org/10.36574/JPP.V5I1.181.
109 Luerdi Luerdi, “POLITIK LUAR NEGERI INDONESIA DI AWAL PANDEMI NOVEL CORONAVIRUS DISEASE:
JANUARI–AGUSTUS 2020,” 2022.
110 Marsudi, “Cooperation: The Catalyst for Fighting the COVID-19 Crisis - Opinion - The Jakarta Post.”
111 Emmers, “The Role of Middle Powers in Asian Multilateralism,” 43.
112 Davies, Kamradt-Scott, and Rushton, Disease Diplomacy: International Norms and Global Health Security; Kamradt-
Scott, “The WHO Secretariat, Norm Entrepreneurship, and Global Disease Outbreak Control”; Ferhani and Rushton, “The c. Priorities of Indonesia’s Foreign Policy 105 In
order to mitigate the economic impact, Indonesia urged global and regional economic institutions to be
reliable platforms to prevent global economy from deteriorating and help weaker states to minimize
damages to their national economy amidst the global efforts to contain the further disease spread and 47 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic 47 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic flatten curves of the infected. flatten curves of the infected. Indonesia rejected export restriction and import suspension during the Covid-19. Those two
trade policies were commonly taken by a number of states to tackle the pandemic at home, but they
potentially harmed the weak states. 106 Indonesia believed that protectionism would not work and none
of states would survive on its own during the pandemic. The flow of goods should be maintained
despite the pandemic threat as one of the measures to mitigate the economic impact. Similar stand was
also shown by Indonesia at other international fora. Indonesia’s demands were aligned with a number
of IHR articles regulating and ensuring trade and travel during public health emergencies. 107 As the
consequence, Indonesia was struggling to combine countermeasures against the pandemic without
sacrificing the economy. 108 The Covid-19 forced many governments to enact firm measures on foreign nationals from
quarantine requirement to expulsion. As the disease spread very quickly, many foreign governments
imposed a strict measure like either partial or full lockdown in order to prevent further spread which
impacted Indonesian nationals residing abroad such as becoming unemployed or being unable to
continue their study. Realizing this situation, Indonesia’s foreign policy was directed to assure its
nationals safe. The MoFA coordinated with foreign governments as well as Indonesian embassies or
consulates so that they could either leave the states voluntarily in orderly manner or receive
humanitarian aids unless they returned to Indonesia. For an exception, Indonesia conducted an
evacuation mission of citizens trapped in isolation-imposed Wuhan after gaining permit from the
Chinese government in early February 2020109. For foreign nationals at home, Indonesia maintained communication with their respective
embassies regarding updates such as the people-under-surveilance, infected, death and recovered
cases. In June 2020, Minister Marsudi announced that as many as 311 foreigners tested positive for the
Covid-19, 26 of whom passed away and 204 recovered and another 485 classified as people under
surveilance. c. Priorities of Indonesia’s Foreign Policy Despite multilateralism rhetoric, there existed several national interests which Indonesia was
pursuing. Following the Covid-19 outbreak, Minister Marsudi announced that Indonesia’s foreign
policy had three priorities, namely addressing the pandemic itself, mitigating economic impacts and
protecting Indonesian citizens abroad and foreign nationals at home. 101 In term of addressing the
pandemic, at many international fora, Indonesia kept inviting all states to work together to tackle the
pandemic instead of blaming each other. During the pandemic, Indonesia suggested that protectionism
and isolationism be avoided. The flows of medical equipment and other relevant needs across border
should not meet any barrier so every government would be able to access them in order to save
people’s lives or minimize victims. Minister Marsudi uttered that Indonesia already sent protection equipment to the states
infected earlier before the virus was announced as a pandemic. 102 So should other states take the
similar decision as more and more states would suffer due to lack of protection equipment. In her
writing entitiled “Cooperation: The Catalyst for Fighting the Covid-19 Crisis” published in the Jakarta
Post, Minister Marsudi argued that information sharing, technical assistance and joint production of
basic medical equipment which had to be virtues in global friendship during difficult time were
Indonesia’s diplomacy messages. 103 In addition, Indonesia believed that coordination with the WHO
was imperative as ignoring its health protocol and recommendations would only cause the situation
worse. Once the vaccines were found in the future, they should be affordable for all states including
the third world instead of monopolizing them. The Covid-19 already impacted the global economy as the results of global supply chains
disruption and restriction of people movements and border closures. The ADB projected that the
Southeast Asia’s economic growth would drop by 1 percent in 2020, while the World Bank Group
(WBG) predicted there would be another 11 million people falling into poverty in East Asia and the
Pacific. 104 Indonesia’s Rupiah and many industries were weakening in addition to capital flight. Conclusion Indonesia’s active foreign policy during the unprecedented Covid-19 could be an oppositional
option compared to what to be taken by more established states and other parts of the world. This
paper argues that non-material factors do matter in defining Indonesia’s foreign policy and behavior
especially when confronting a new challenging global issue. Upholding multilateralism and pursuing
national interests would not contradict as the Indonesia’s foreign policy was affected by the indigenous
and global norm complementary to each other. International fora were the main media for Indonesia to
promote the practice of multilateralism. In addition, this paper reveals that looking at the domestic
actors is as important as looking at state in international system in order to reach a better kowledge on
the issue. There has been a trend showing that a number of developed states with better health
infrastructure and stronger economic foundation seemed to act uncoordinatedly to take serious initial
action to respond to the pandemic or downplay the severity of the disease at the beginning of the
pandemic. Meanwhile, Indonesia as one of developing states raised multilateralism suggesting a few
actions such as coordinating, collaborating and cooperating with international communities. The
policy was not the result of applying rationalist principle of foreign policy decision makers who
attempted to utilize the existing international norm and overcome domestic shortages for maximizing
national interests as suggested by the liberal approach. Neither would Indonesia have taken the former
action in order to protect its people and save economy ahead before others if it had been better
equipped with health infrastructure as the neorealist approach suggests. Otherwise, we propose that
Indonesia’s foreign policy would remain to uphold multilateralism when facing other similar crisis
thanks to its identity as suggested by the constructivist approach. Only when the identity changes
would Indonesia redirect its foreign policy and interests. It is hardly seen in the near future. This paper has stated a novel theoretical argument in which Indonesia’s multilateralism in the
pandemic era represents a confluence of domestic norms (gotong royong) and international norms
(IHR). The gotong royong along with other international norms is potential to be expanded into other
areas of foreign policy including—but not limited to—security, climate change, human rights,
developmentalism and socio-economic inequality. c. Priorities of Indonesia’s Foreign Policy 110 The Indonesian government only restricted foreign nationals to enter the state by
suspending the visa exemption policy and visa on arrival facilities along with the firm WHO health
protocol instead of totally barring them. In addition, such measures were in accordance with the
principles of respecting human rights as stipulated in the IHR. Indonesia’s foreign policy during the Covid-19 was not only aimed to protect its citizens and
economy but also others. Communication and coordination with other foreign governments were
necessary to pursue the three priorities. Unilateral and uncoordinated actions could risk Indonesia’s
interests as well as others’ during the time of uncertainties. It is in line with the Indonesian foreign
policy practice as noted by Emmers that Indonesia – just like other Asian states – preserved its
national interests by encouraging the adoption of norms and standards of good international behavior. 111 Even though a few states ignored the IHR, the regulation’s role as a new norm sustained during the
pandemic. Furthermore, the emergence of new transmissible diseases has made health an important
element in state diplomacy guided by the regulation. 112 48 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandemic Considering the constructivist approach, the roles and interests within Indonesia’s foreign
policy were determined by its norm-based identity. Gotong royong emphasizing mutual assistance and
the IHR suggesting the balance of trade, travel and health led Indonesia to uphold multilateralism. In
domestic context, these priorities refer to Indonesia’s national interests which were not only
determined by the MoFA alone but also other domestic actors. Such national interests reflect the
identity which belongs to Indonesia influenced by these actors through the MoFA’s embracing of
multilateralism. Meanwhile, in the systemic level the interactions between Indonesia and other
international communities brought about an understanding that the IHR was an international norm
which was infused to its identity. Only after Indonesia realized its identity could it determine its
interests deemed appropriate. Indonesia would have responsibility to pursue such interests as a
consequence of the identity awareness. International Health Regulations, COVID-19, and Bordering Practices: Who Gets in, What Gets out, and Who Gets
Resc ed?” Conclusion Though this paper provides a view of Indonesia’s
foreign policy in responding to the Covid-19 through the lense of holistic constructivism, it leaves
questions – as of the time of writing – if such foreign policy effectively contributes to tackle the
pandemic at home and save its economy as the number of confirmed cases keeps surging and recession
threat alarms in addition to if Indonesia is able to leverage its leadership and role in regional and 9 Luerdi, Azhari Setiawan | Upholding Multilateralism: Indonesia’s Foreign Policy in Responding to Covid-19 Pandem global politics in addressing the pandemic as many see multilateral institutions underperforming
without the role of more established states. A few future researches can be expected to fill the gaps. Above all, the study benefits scholars or students who have interest in Indonesia’s foreign policy in
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0167452&type=printable
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Cost Effectiveness of Screening Colonoscopy Depends on Adequate Bowel Preparation Rates – A Modeling Study
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PloS one
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cc-by
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RESEARCH ARTICLE Results At the current assumed inadequate bowel preparation rate of 25%, the cost of colonoscopy
as a screening strategy is above society’s willingness to pay (<$50,000/QALY). Threshold
analysis demonstrated that an inadequate bowel preparation rate of 13% or less is neces-
sary before colonoscopy is considered more cost effective than FIT. At inadequate bowel
preparation rates of 25%, colonoscopy is still more cost effective compared to sigmoidos-
copy and stool DNA test. Sensitivity analysis of all inputs adjusted by ±10% showed incre-
mental cost effectiveness ratio values were influenced most by the specificity, adherence,
and sensitivity of FIT and colonoscopy. Data Availability Statement: All relevant data are
within the paper. Editor: John Green, University Hospital Llandough,
UNITED KINGDOM Editor: John Green, University Hospital Llandough,
UNITED KINGDOM A microsimulation model of CRC screening strategies for the general population at average
risk for CRC. The strategies include fecal immunochemistry test (FIT) every year, colonos-
copy every ten years, sigmoidoscopy every five years, or stool DNA test every 3 years. The
screening could be performed at private practice offices, outpatient hospitals, and ambula-
tory surgical centers. Received: August 22, 2016
Accepted: November 14, 2016
Published: December 9, 2016 Copyright: © 2016 Kingsley 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. James Kingsley1, Siddharth Karanth2, Frances Lee Revere2, Deepak Agrawal3* 1 Department of Internal Medicine, Texas Health Presbyterian Hospital, Dallas, Texas, United States of
America, 2 School of Public Health, University of Texas Health Science Center, Houston, Texas, United
States of America, 3 Department of Internal Medicine, University of Texas Southwestern Medical Center,
Dallas, Texas, United States of America * Deepak.Agrawal@UTSouthwestern.edu * Deepak.Agrawal@UTSouthwestern.edu OPEN ACCESS OPEN ACCESS
Citation: Kingsley J, Karanth S, Revere FL, Agrawal
D (2016) Cost Effectiveness of Screening
Colonoscopy Depends on Adequate Bowel
Preparation Rates – A Modeling Study. PLoS ONE
11(12): e0167452. doi:10.1371/journal. pone.0167452 Aim Citation: Kingsley J, Karanth S, Revere FL, Agrawal
D (2016) Cost Effectiveness of Screening
Colonoscopy Depends on Adequate Bowel
Preparation Rates – A Modeling Study. PLoS ONE
11(12): e0167452. doi:10.1371/journal. pone.0167452 Citation: Kingsley J, Karanth S, Revere FL, Agrawal
D (2016) Cost Effectiveness of Screening
Colonoscopy Depends on Adequate Bowel
Preparation Rates – A Modeling Study. PLoS ONE
11(12): e0167452. doi:10.1371/journal. pone.0167452 The aim of this study is to determine the impact of inadequate bowel preparation rate on the
cost effectiveness of colonoscopy compared to other screening strategies for colorectal
cancer (CRC). Abstract a1111 Cost Effectiveness of Screening Colonoscopy
Depends on Adequate Bowel Preparation
Rates – A Modeling Study James Kingsley1, Siddharth Karanth2, Frances Lee Revere2, Deepak Agrawal3* Background Inadequate bowel preparation during screening colonoscopy necessitates repeating colo-
noscopy. Studies suggest inadequate bowel preparation rates of 20–60%. This increases
the cost of colonoscopy for our society. OPEN ACCESS
Citation: Kingsley J, Karanth S, Revere FL, Agrawal
D (2016) Cost Effectiveness of Screening
Colonoscopy Depends on Adequate Bowel
Preparation Rates – A Modeling Study. PLoS ONE
11(12): e0167452. doi:10.1371/journal. pone.0167452 Data Availability Statement: All relevant data are
within the paper. Funding: The author(s) received no specific
funding for this work. Funding: The author(s) received no specific
funding for this work. Competing Interests: The authors have declared
that no competing interests exist. 1 / 17 PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 Colonoscopy and Bowel Preparation Rates Screening colonoscopy is not a cost effective strategy when compared with fecal immuno-
chemical test, as long as the inadequate bowel preparation rate is greater than 13%. Screening colonoscopy is not a cost effective strategy when compared with fecal immuno-
chemical test, as long as the inadequate bowel preparation rate is greater than 13%. Introduction Colonoscopy, sigmoidoscopy and stool tests for occult blood are recommended cost effective
strategies for colorectal cancer (CRC) screening in the United States (US) [1]. The preferred
method of CRC screening varies among different countries. Many countries have nationally
organized screening programs that are centrally funded and controlled. These countries tend
to favor stool tests. Other countries such as the US, have a more decentralized approach with
multiple sources of funding and hence multiple modes of delivery, assessment and follow-up. In the US, screening colonoscopies are promoted as a preferred test. Despite significantly
higher costs, colonoscopies are considered more cost-effective since they allow detection and
removal of smaller precancerous polyps rather than simply early detection of cancer or in
some cases advanced adenomas. The assumption in these analyses is that colonoscopies are
performed and repeated per established guidelines i.e. if no polyp is detected (negative colo-
noscopy) screening colonoscopy is repeated in ten years, if adenomatous polyps are detected
(positive colonoscopy) the surveillance colonoscopy is performed in three to five years [2]. However, in reality, colonoscopies are often repeated earlier than recommended intervals. Studies suggest colonoscopy overuse rates up to 25%[3–15], which is a significant problem,
since it exposes patients to procedure risks without added benefit and is a poor use of
resources. Reasons for overuse of colonoscopies include endoscopists’ preferences [9–12] patients’
preferences [9–12] and inadequate bowel preparation [12–15]. Guidelines recommend repeat-
ing colonoscopy within a year, when bowel prep is inadequate due to concern about missing
polyps. The reported rate of inadequate bowel preparations ranges from 5%-60%, with most
studies citing 25%[3–15]. This wide range indicates that it is possible to address the variables
leading to inadequate bowel preparations. However, this is often not prioritized due to logisti-
cal difficulties, resource investment and reimbursement pressures. It is estimated that population-wide inadequate bowel preparation results in colonoscopy
being repeated every 7.8 years in average risk patients instead of every ten years [16]. This
increases the cost of colonoscopy as a population screening strategy and may even make
screening colonoscopy a less cost-effective strategy when compared to less efficacious strate-
gies. We performed a cost analysis of colorectal cancer (CRC) screening strategies incorporat-
ing inadequate bowel preparation rates to determine if colonoscopy is the most cost effective
strategy. Decision Model We constructed a Markov state transition model to examine the cost-effectiveness of four CRC
screening strategies. The model is based on the natural history of CRC. The model tracks indi-
vidual patients from age 50 until death or age 100. All screening strategies stop at age 80
because screening beyond this age is not routinely recommended. Each cycle in the model is
one year long. Each patient has an inherent risk of developing an adenoma depending on age, PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 2 / 17 Colonoscopy and Bowel Preparation Rates Fig 1. Markov Model. (Ω) varies by age according to US Actuarial Tables from 2014. (Φ) varies by risk
factors: Age (0.011–0.019), History of High Grade Dysplasia (0.08), History of CRC (0.25). (Π) Diagnosis
achieved through screening strategy (p value dependent on screening modality) & symptom presentation per
year for total of 2 years (Local 0.22; Regional 0.40; Distant 1.00). (I) Costs of initial CRC care. (C) Costs of
continual CRC care each year. (T) Costs of Terminal CRC care (End of Life). (LG) Low Grade. (HG) High
Grade. doi:10.1371/journal.pone.0167452.g001 Fig 1. Markov Model. (Ω) varies by age according to US Actuarial Tables from 2014. (Φ) varies by risk
factors: Age (0.011–0.019), History of High Grade Dysplasia (0.08), History of CRC (0.25). (Π) Diagnosis
achieved through screening strategy (p value dependent on screening modality) & symptom presentation per
year for total of 2 years (Local 0.22; Regional 0.40; Distant 1.00). (I) Costs of initial CRC care. (C) Costs of
continual CRC care each year. (T) Costs of Terminal CRC care (End of Life). (LG) Low Grade. (HG) High
Grade. doi:10.1371/journal.pone.0167452.g001 doi:10.1371/journal.pone.0167452.g001 sex, and history of high-grade polyp/CRC. The model tracks type of adenoma (low grade or
high grade). High-grade adenomas are >1cm, three or more in number or with villous dys-
plastic features on histology. All other adenomas are considered low-grade. These characteris-
tics determine the probability of adenoma being found by a screening strategy and the risk of
developing CRC, which progresses through stages: local, regional and distant colorectal cancer. Probability of survival after diagnosis of CRC depends on the stage of disease. Fig 1 depicts our
model and possible transitions from one state to another. Screening strategies are superim-
posed on the model. The effectiveness of a screening strategy is determined by the test’s ability
to detect adenomas or CRC. Decision Model All key assumptions used in the model are listed in Table 1. The incidence of adenomatous polyps and colorectal cancer was determined from age-spe-
cific (per year [prevalence rates at autopsy from years 1970 to 1990 reported in the Surveil-
lance, Epidemiology, and End Results (SEER) program data [17]. These decades were chosen
because population screening or surveillance was not widespread enough to skew the natural
history model. If a person develops CRC he/she carries a new yearly probability rate of mortal-
ity based on five-year survival rates and average length of survival by stage of cancer and age
according to data from SEER [17,18]. To estimate the rates for death from causes other than
CRC we used data from the USA Official Social Security Office’s Actuarial Life Tables of 2011. Initial, regional and distant CRC were assigned health utility weights for 0.9, 0.8 and 0.76
respectively [19]. Colonoscopy and Bowel Preparation Rates Table 1. Model Inputs: Case Base Estimates Used in the Model. Input Names
Base Case Estimate
Reference Used [Additional
Support]
FIT
Col
SDNA
Sig
Sensitivity Low Grade Polyp
0.1
0.85
0.172
0.85
[53] [2,19,22,23,54–64]
Sensitivity High Grade Polyp
0.24
0.9
0.692
0.9
[53] [2,19,22,23,54–64]
Sensitivity Colorectal Cancer
0.7
0.95
0.923
0.95
[53] [2,19,22,23,54–64]
Specificity
0.95
0.95
0.866
0.92
[53] [2,19,22,23,54–64]
Percent of polyps within reach of Endoscopy [regardless of whether strategy
successfully detects polyp or not]
-
100%
-
60%
[21] [2,22,23,35,55–63]
Inadequate Bowel Preparation Rate
0.25
[33] [3–15]
Probability that Inadequate Bowel Preparation is Poor Prep
0.29
[3] [57–64]
Probability that Inadequate Bowel Preparation is Fair Prep
0.71
[3] [57–64]
CRC Screening Adherence: % of population who are completely Up to Date
0.651
[29] [20,22]
CRC Screening Adherence: % of population who have never been screened. Screening Strategies The Markov model assigns patients to undergo one of the following recommended screening
strategies: annual fecal immunochemical testing (FIT), flexible sigmoidoscopy (FS) every five PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 3 / 17 PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 0.277
[29] [20,22]
CRC Screening Adherence: % of population who have been screened but are not up
to date
0.072
[29] [20,22]
Surveillance Adherence for those Completely Up to Date
0.95
[19] [3,20,22]
Surveillance Adherence for those Incompletely Up to Date
0.85
[19] [3,20,22]
Surveillance Adherence for those Never Screened
0.75
[19] [3,20,22]
Adherence to Instructions of Colonoscopy
0.53
[20] [2,21]
Adherence to Instructions of FIT or SDNA
0.8
-
0.8
-
[20] [2,21]
Follow Up Adherence with Colonoscopy After + FIT or SDNA
0.83
-
0.83
0.83
[20] [2,3,22]
Health Utility Weight for Initial CRC
0.9
[19] [21]
Health Utility Weight for Regional CRC
0.8
[19] [21]
Health Utility Weight for Distant CRC
0.76
[19][21]
Probability of Local Cancer Diagnosis
0.4
[57–64]
Probability of Regional Cancer Diagnosis
0.37
[57–64]
Probability of Distant Cancer Diagnosis
0.23
[57–64]
Probability of Local Cancer Cure
0.65
[57–64]
Probability of Regional Cancer Cure
0.45
[57–64]
Probability of Distant Cancer Cure
0
[57–64]
CRC Treatment Mortality
0.02
[21][57–64]
Complication Rate per Screening Event
-
0.0016
-
0.00016
[65][21,26,33,57–64]
Mortality Rate per Screening Event
-
7.4x10-5
-
-
[65] [21,26,33,57–64]
Prevalence of Polyp at First Screen
0.25
[66] [21,57–64]
Incidence of Low Grade Polyp without history of polyps or CRC
.011−.019*
[66] [21,57–64]
Incidence of High Grade Polyp without history of polyps or CRC
7.5x10-4
[66] [21,57–64]
Incidence of Low & High Grade Polyp with history of polyps but not CRC
0.08
[66] [21,57–64]
Incidence of Low & High Grade Polyp with history of CRC
0.25
[66] [21,57–64]
Ratio of Polyp Incidence that are LG vs. HG < 65yrs/old
0.95
[66] [21,57–64]
Ratio of Polyp Incidence that are LG vs. HG > 65yrs/old
0.679
[66] [21,57–64]
Annual Transition Probability from: LG Polyp—> HG Polyp
0.02
[21] [57–64]
Annual Transition Probability from: LG Polyp—> Local CRC Polyp
0.00697
[21] [57–64]
Annual Transition Probability from: HG Polyp—> Local CRC
0.05
[21] [57–64]
Annual Transition Probability from: Local CRC—> Regional CRC
0.28
[21] [57–64]
Annual Transition Probability from: Regional CRC—> Distant CRC
0.63
[21] [57–64]
Probability of Local Cancer Presentation each year for 2 years
0.22
[21] [57–64]
Probability of Regional Cancer Presentation each year for 2 years
0.4
[21] [57–64]
Probability of Distant Cancer Presentation over the course of 2 years
1
[21] [57–64]
Probability of Colorectal Cancer Occurring without Polyp each year
6.0x10-5
[57–64]
(Continued) PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 4 / 17 Colonoscopy and Bowel Preparation Rates Table 1. (Continued) (
)
Input Names
Base Case Estimate
Reference Used [Additional
Support]
FIT
Col
SDNA
Sig
Probability of Local CRC from Normal Epithelium
0.68
0.56
0.68
0.53
[21] [57–64]
Probability of Regional from Normal Epithelium
0.22
0.32
0.22
0.33
[21] [57–64]
Probability of Distant CRC from Normal Epithelium
0.1
0.12
0.1
0.14
[21] [57–64]
Mortality Rate for Local Cancer each year for 5 years
0.0174
[20, 58–64]
Mortality Rate for Regional Cancer each year for 5 years
0.086
[20, 58–64]
Societal Willingness to Pay for 1 Additional QALY
$50,000.00
[15] [25]
Discount Rate Used for Costs & Effectiveness
3%
[15] [20,25,58–64]
CRC, colorectal cancer; LGD, low-grade dysplasia; HGD, high grade dysplasia; QALY, quality adjusted life years
* varies with age years, colonoscopy every ten years and stool DNA test every three years. The characteristics of
different screening tests were determined from independent review of literature (Table 1). Each screening strategy was assigned a different adherence rate based on published literature
[20–22]. Patients undergoing colonoscopy could have an adequate or an inadequate prep. If
the preparation was inadequate, colonoscopy was repeated at varying intervals based on aver-
aged real world data [3]. Simulated patients with a positive stool test or polyps on sigmoidos-
copy received a colonoscopy that same year. For the probability that the stool test was false
positive, the patient underwent a negative colonoscopy, and then resumed with the primary
screening strategy. If polyps were found, they were removed and patients were switched to sur-
veillance colonoscopy in 3 years (high-grade adenomas) or 5 years (low-grade adenomas). We
assumed that 95% of all colonoscopies reached the cecum [23]. PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 Cost of Screening Strategies and CRC Treatment The calculation of costs in this study is notable for a number of reasons. First, a weighted aver-
age of Medicare and private insurance reimbursements was used for colonoscopies performed
in an office setting, ambulatory surgical centers and hospital based endoscopy units. This is
different from most prior studies on cost effectiveness, which calculated colonoscopy costs
based only on Medicare payment rates. Medicare payment rate calculations result in underes-
timation of total costs since Medicare accounts for only 31% of screening colonoscopies and
private insurance pays 1.5 to 2 times more than Medicare [33]. Furthermore, the reimburse-
ment for screening colonoscopies performed at hospital based endoscopy units can be up to
30% higher [34]. The second notable cost calculation is the incorporation of the cost of seda-
tion provided by anesthesiologists. The study assumed that the sedation in 30% of colonosco-
pies was administered by an anesthesiologist, although much higher numbers have been
reported. Third, costs of lost wages and benefits due to the procedure were added, based on
Bureau of Labor Statistics. Additionally, the cost for a follow-up colonoscopy was included for
the fecal exams and the sigmoidoscopy that were positive (both true positives and false posi-
tives). The baseline costs used for our analysis are given in the Fig 1. Net costs of CRC treatment from year 2009 were determined for each local, regional and
advanced stage of cancer. These costs differed for the initial, continuing and terminal phases
of care. All cost data associated with screening and treatment were adjusted to the real value of
US dollar in 2014 using the Consumer Price Index for Medical Care. The costs of lost wages
and benefits were derived from the Bureau of Labor Statistics and adjusted to 2014 US dollars
using the Consumer Price Index. Colonoscopy and Bowel Preparation Rates entered a surveillance regime, with a 75% adherence rate [19,20]. Alternative adherence
assumptions, including 100% adherence, were explored in a sensitivity analysis. Inadequate Bowel Preparation The definition of inadequate bowel preparation and the timing for repeat colonoscopy varies
in both the theoretical realm and in practice. For this analysis, inadequate preparation was
defined as those that result in a repeat colonoscopy earlier than the recommended interval for
an inadequately prepared colon. Studies suggest that most gastroenterologists would repeat
colonoscopies for intermediate (fair) and poor quality preps due to the possibility of missing
polyps greater than five millimeter in size [20–32]. In our analysis we varied the inadequate bowel preparation rate using a threshold analysis,
beginning at an ideal rate of 0% and ending at 30%. This range was based on the assumed cur-
rent inadequate bowel preparation rate of 25% [3–15]. It was assumed that all patients with
inadequate bowel preparations underwent repeat colonoscopy at the rates of 9% within one
year, 5% in one to two years, 3% in two to three years and 83% in three to 10 years [14]. Nota-
bly, the inadequate bowel preparation rate in the model had no influence on the effectiveness
portion of the cost-effectiveness calculation as all patients were rescheduled for colonoscopy. Adherence Rates Most prior cost-effective studies assumed a 100% adherence rate for different screening strate-
gies [24–27]. In reality, the adherence rates are much lower and differ among strategies. Since
screening strategies vary considerably in costs, adherence rates can have large influence cost-
effectiveness ratios. Non-adherence to subsequent screenings even within the same strategy
can significantly affect the cost-effectiveness. However, even with a relatively a small degree of
adherence with subsequent screenings, cost-effectiveness can be comparable to full participa-
tion [24–28]. We used reported adherence rates for US population and accordingly divided the popula-
tion into three groups. The adherence rate was broken down into two gates of adherence. The
first gate was whether the patient received a referral/order for a screening test. The second gate
was whether or not the patient actually adhered to the recommendations. 27% of patients were
never recommended CRC screening, 8% received recommendation once in their lifetime and
65% received recommendations consistently according to guidelines [27]. The second gate
evaluated whether or not patients adhered to the recommendations (of note, this doesn’t
include inadequate bowel preparations). Adherence rates varied according to type of screening
strategy with less adherence for endoscopic procedures (52%) versus stool tests (92%) [20]. Thus, the relative end of life adherence rate was 38% for colonoscopy and sigmoidoscopy and
67% for fecal exams. Patients with positive stool tests were assumed to be 83% adherent with
follow-up colonoscopy [20]. In addition, while non-adherers did not receive screening, if they
were diagnosed with CRC by symptom presentation, and received curative treatment, they PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 5 / 17 Comparison of Screening Strategies vs. No Screening The cost and effectiveness of different screening strategies are given in Table 2. Compared to
no screening, FIT is the most cost effective (in terms of quality adjusted life year, QALY)
screening strategy followed by colonoscopy, stool DNA and sigmoidoscopy. The cost of FIT
($1,579) is the least and stool DNA ($3,526) the most expensive. Only FIT and sigmoidoscopy
are both more effective and less costly (dominant) compared with no screening. Colonoscopy
cost $3,257 more per quality adjusted life year and stool DNA test cost $15,762 more per qual-
ity adjusted life year when compared to no screening strategy. Results The base case scenario in our model was designed to reflect real-life CRC screening patterns in
the US, which show an inadequate preparation rate of 25% and variation in adherence rates
for different screening strategies. Colonoscopy and Bowel Preparation Rates utilize ratios, effectiveness calculations are not in the denominator and thus NMB is a better
comparative measure when differences in effectiveness between strategies are small [34]. NMB
was calculated by assuming a willingness to pay (WTP) of $50,000 per QALY gained. Costs
and QALYs were discounted at an annual rate of 3%. The model was analyzed using TreeAge
Pro 2015 (TreeAge Software Inc., Williamston, MA). The analysis included 1-way and probabilistic sensitivity analysis (PSA). One-way sensitiv-
ity analysis was performed on key variables identified by a tornado diagram. For probabilistic
sensitivity analysis- 100,000 individuals walked through a second order simulation and each
individual’s probability (in second order) was the composite mean of 10,000 individuals walk-
ing through a first order simulation. The PSA assumed a uniform distribution for the probabil-
ities, and a beta distribution for the QALYs in the model. Model Validation External validation was performed by comparing our model’s outputs with those of well-estab-
lished CEA models. For example, CEA performed by Sharaf et al [21] comparing FOBT, sig-
moidoscopy and colonoscopy. The lifetime cost of colonoscopy per person in their model was
$2564 compared to $2430 in our model. The Incremental Cost effective ratio (ICER) values for
colonoscopy versus FIT reported by them were also similar to our model. We also compared intermediate outputs within our model with the National Polyp Study
and other well-established epidemiological data produced by the American Cancer Society
and the National Cancer Institute. In our model the current utilization rates for each strategy
showed a 0.0593 lifetime CRC incidence rate compared to 0.05 published by the American
Cancer Society [35]. Our natural history model, on which the screening strategies were super-
imposed, had a standardized incidence based CRC mortality ratio of 0.40, which is comparable
to the rate of 0.47 (95% CI .26–.80) published by the National Polyp Study [22]. Our standard-
ized incidence based lifetime CRC incident ratio was 0.3989 compared to the National Polyp
Study rate of 0.24 (95% CI .08–.56) [22]. Our model’s output for CRC mortality reduction with
colonoscopies was 60%, which is comparable to the National Cancer Institute’s estimate of 60–
70% mortality reduction [35]. Methods of Model Analysis The cost-effectiveness of different CRC screening strategies was estimated using a societal
perspective. Given the inherent limitations of ratios in cost-effectiveness (C/E), Net Monetary Benefit
(NMB) was determined to allow for a more transparent comparison of multiple strategies. The
NMB uses society’s willingness to pay for a quality adjusted life year (QALY) to convert the
comparisons between strategies from ratios to arithmetic differences. Because NMB doesn’t 6 / 17 PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 Colonoscopy and Bowel Preparation Rates Table 2. CEA & ICER Results at 25% Inadequate Bowel Prep Rate for a cohort of 100,000 average-risk US citizens age 50 to 100yrs. FIT
Sigmoidoscopy
No Screening
Colonoscopy 25%
Stool DNA
CEA
Cost
$1578.73
$1914.09
$2103.12
$2429.81
$3526.45
Effect
19.5057
19.4787
19.4168
19.5171
19.5071
NMB*
$973706.27
$972020.91
$968736.88
$973425.19
$971246.00
ICER
FIT
-
Sig is Dominated
NS is Dominated
$74656.14
$1391228.57
Sigmoidoscopy
-
-
NS is Dominated
$13430.21
$56773.24
No Screening
-
-
-
$3257.13
$15762.24
Colonoscopy 25%
-
-
-
-
SDNA is Dominated
Stool DNA
-
-
-
-
- owel Prep Rate for a cohort of 100,000 average-risk US citizens age 50 to 100yrs. sults at 25% Inadequate Bowel Prep Rate for a cohort of 100,000 average-risk US citizens age 50 to 100yrs. le 2. CEA & ICER Results at 25% Inadequate Bowel Prep Rate for a cohort of 100,000 average-risk US citizen Abbreviations: CEA, Cost Effectiveness Analysis; ICER, incremental cost effectiveness ratio; FIT, fecal immunoassay test; NS, No Screening; NMB, Net
Monetary Benefit; SDNA, Stool DNA. * At a Willingness to Pay for 1 Quality Adjusted Life Year of $50,000. effective according to societies’ established willingness to pay (WTP) threshold for a single
quality adjusted life year of $50,000. However, colonoscopy was more cost-effective compared
to sigmoidoscopy and stool DNA. Stool DNA test was dominated as it was more costly and
less effective than colonoscopy. Similarly the incremental cost effectiveness ratios of stool
DNA compared with FIT and sigmoidoscopy were both above the WTP of $50,000. The net
monetary benefit at WTP of $50,000 showed FIT to have more benefit than colonoscopy fol-
lowed by sigmoidoscopy and stool DNA test. Comparison of Screening Strategies with One Another In incremental comparisons between each strategy (Table 2), colonoscopy at 25% inadequate
preparation rate cost $74,656 per QALY more compared to FIT and hence was not cost- PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 7 / 17 Comparison of Different Inadequate Preparation Rates The cost-effectiveness and NMB of screening strategies were determined at different inade-
quate bowel preparation rates using a threshold analysis from 0% to 30% (Table 3). Colonos-
copy was more cost effective compared to FIT (i.e. ICER < $50,000) when inadequate bowel
preparation rates were 13% or lower. At inadequate preparation rate of 13%, incremental cost
effectiveness ratio of colonoscopy compared with FIT was at societies willingness to pay
threshold of $50,000. This suggests that 13% inadequate preparation rate is the threshold
above which FIT becomes the preferred screening strategy. Colonoscopy remained a preferred
screening strategy over sigmoidoscopy even at 30% inadequate preparation rate. Colonoscopy
dominated stool DNA test at all inadequate preparation rates. Sensitivity Analysis Colonoscopy and Bowel Preparation Rates Table 4. Sensitivity Analysis. Variables*
Variable Range Input
Low Value
High Value
Risk Percent
Specificity of FIT
0.855 to 0.997
16,006.3790
96,141.9481
45.14%
Adherence to FIT
0.72 to 0.88
59,286.6552
110,129.2013
18.17%
Colonoscopy Sensitivity for LG Polyp
0.765 to 0.935
60,225.2048
99,345.4563
10.76%
Adherence of Colonoscopy
0.586 to 0.716
66,029.7035
104,194.2306
10.24%
Colonoscopy Sensitivity for HG Polyp
0.81 to 0.99
56,133.4962
89,003.9174
7.60%
FIT Sensitivity for LG Polyp
0.09 to 0.11
65,414.5932
84,185.2703
2.48%
FIT Sensitivity for HG Polyp
0.216 to 0.264
63,230.9017
81,665.0094
2.39%
FIT Sensitivity for Colorectal Cancer
0.63 to 0.77
66,830.9051
83,756.4146
2.01%
Colonoscopy Sensitivity for Colorectal Cancer
0.855 to 0.997
71,987.1885
85,105.9302
1.21%
Cost of FIT
$18 to $26
74,043.6500
75,342.3300
< 1%
Cost of Colonoscopy (with Intervention)
$900 to $1,200
74,309.7600
74,963.5435
< 1%
Cost of Colonoscopy (without Intervention)
$1,100 to $1,500
74,604.7600
74,724.9900
< 1%
Cost of Initial Colon Cancer Treatment at a Stage of Diagnosis Specific Rate
+ 25%
-
69,333.9211
-
FIT, Fecal Immunochemical Test; LG, Low Grade; HG, High Grade
* Variables were chosen based on the results of a tornado diagram in order of highest ICER variance. literature. The base results remained robust to the majority of the sensitivity analyses
(Table 4). The incremental values for FIT and colonoscopy (25% inadequate preparation rate)
are reported because they had the highest NMB compared to other tests. Specificity of FIT was
the most influential variable; however, this is of limited practical significance as most studies
have confirmed specificity of FIT for colon cancer to be 91–93%. The sensitivity of FIT had
much less influence on the results. Provider reimbursement for a colonoscopy had a negligible
impact on the results. Stool DNA is a newly approved test, which is generally considered to be more effective than
FIT but is significantly more expensive. Threshold analysis (at WTP of $50,000) show stool
DNA test reimbursement would have to be $75 for it to be the preferred screening strategy. The cost-effectiveness acceptability curves (CEAC) from probabilistic sensitivity analysis
were determined. Fig 2 shows the probability, based on the proportion of simulations in which
a given CRC screening strategy is most cost effective for a range of maximum WTP thresholds. FIT is the most cost-effective strategy at WTP of $50,000 according to 36% of 10,000 model
iterations. Sensitivity Analysis One-way sensitivity analysis was performed on all inputs by increasing and decreasing the var-
iables within 10% of the base case values to ensure inclusion of all the values reported in tios comparing colonoscopy at various bowel prep rates with other screening strategies. Table 3. Incremental Cost Effectiveness Ratios comparing colonoscopy at various bowel prep rates with other screening strategies. Inadequate Preparation Rate
Cost
FIT
Sigmoidoscopy
No Screening
Stool DNA (SDNA)
0%
$1,982.50
$35,418.42
$1,781.51
NS is Dominated
SDNA is Dominated
5%
$2,043.70
$40,786.84
$3,375.26
NS is Dominated
SDNA is Dominated
10%
$2,102.86
$45,976.32
$4,915.89
NS is Dominated
SDNA is Dominated
15%
$2,181.05
$52,835.09
$6,952.08
$776.97
SDNA is Dominated
20%
$2,241.03
$58,096.49
$8,514.06
$1,374.98
SDNA is Dominated
25%
$2,429.81
$74,656.14
$13,430.21
$3,257.13
SDNA is Dominated
30%
$2,515.11
$82,138.60
$15,651.56
$4,107.58
SDNA is Dominated
doi:10 1371/journal pone 0167452 t003 Table 3. Incremental Cost Effectiveness Ratios comparing colonoscopy at various bowel prep rates wit PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 8 / 17 Colonoscopy (25% inadequate bowel preparation rate) becomes cost effective as
WTP increases beyond $55,000 (in 35% iterations). Sigmoidoscopy is cost effective in less than
19% iterations and decreases slightly as the WTP increases beyond $55,000. Stool DNA test is
not cost effective compared to any screening strategy except at WTP of $85,000 at which point
it becomes more cost effective than only sigmoidoscopy. Colonoscopy and Bowel Preparation Rates Discussion Inadequate bowel preparation is defined as the inability to identify lesions larger than five mil-
limeters [36,37]. However, judging bowel preparation as inadequate remains inconsistent and
subjective. Guidelines suggest repeating colonoscopy for inadequate preparations, but they do
not make a distinction between grades of inadequacy (intermediate or poor) [22]. The timing
of repeat colonoscopy is left to the endoscopists’ discretion and thus highly variable, with most
recommending shorter intervals as preparation worsens [20]. While colonoscopy has been
shown to be cost-effective for colon cancer screening, the research does not take into account
the cost of repeat colonoscopies due to inadequate preps. This analysis shows that screening PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 9 / 17 Colonoscopy and Bowel Preparation Rates Fig 2. Cost Effectiveness Acceptability Curve. DNA Stool Test (blue square). Colonoscopy (red triangle). FIT (yellow circle). Sigmoidoscopy (green
triangle). Natural History (turquoise diamond). doi:10.1371/journal.pone.0167452.g002 Fig 2. Cost Effectiveness Acceptability Curve. DNA Stool Test (blue square). Colonoscopy (red triangle). FIT (yellow circle). Sigmoidoscopy (green
triangle). Natural History (turquoise diamond). Fig 2 C colonoscopy is not a cost-effective strategy if more than 13% of colonoscopies are repeated
because of inadequate bowel preps. These findings are more pronounced given the model
assumed the current high costs of CRC treatment, which yields a cost-effectiveness advantage
for colonoscopy because it can prevent, not simply detect, cancer. Our analysis has several strengths. First, to calculate the cost of colonoscopy we used
weighted averages of reimbursement by different third party payers. This best reflects, settings
where colonoscopies are performed and the costs of anesthesia. Most cost-effective analyses
use only Medicare reimbursement rates and thus underestimate the true cost burden of colo-
noscopies. Second, our model accounts for population adherence to screening across all strate-
gies. This has been an important limitation of prior analyses because studies have shown
higher adherence rates for stool tests compared to endoscopies. In fact, this can influence the
Fig 2. Cost Effectiveness Acceptability Curve. DNA Stool Test (blue square). Colonoscopy (red triangle). FIT (yellow circle). Sigmoidoscopy (green
triangle). Natural History (turquoise diamond). doi:10.1371/journal.pone.0167452.g002
PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016
10 / 17 Fig 2. Cost Effectiveness Acceptability Curve. DNA Stool Test (blue square). Colonoscopy (red triangle). FIT (yellow circle). Sigmoidoscopy (green
triangle). Natural History (turquoise diamond). doi:10.1371/journal.pone.0167452.g002 Fig 2. Cost Effectiveness Acceptability Curve. DNA Stool Test (blue square). Colonoscopy (red triangle). FIT (yellow circle). Sigmoidoscopy (green
triangle). PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 Colonoscopy and Bowel Preparation Rates outcomes of incremental cost effectiveness ratios. For example, in the cost-effective analysis of
CRC screening strategies by Sharraf et al, FIT dominated colonoscopy since it was less expen-
sive and more effective [21]. In our model, colonoscopy was more effective because FIT’s effec-
tiveness is largely dependent on yearly adherence to avoid the emergence of CRC given its
lower negative predictive rate. FIT has a poor sensitivity for dysplastic polyps, but this poor
performance is made up by yearly exams. In a model, such as ours, where adherence to FIT is
lower than 100%, the effectiveness of FIT would expectedly be lower. In fact, Sharaf et al dem-
onstrated this point in a sensitivity analysis, which showed that as adherence rates for FIT
were decreased toward real world rates, colonoscopy became increasingly cost effective [21]. Third, the recently approved stool DNA test was included as a screening strategy, using newly
published data. The model and analyses are based on a few significant assumptions. First, it was assumed
that colonoscopies are repeated in all patients with inadequate bowel preparations. This
assumption is based on both guidelines that recommend a repeat colonoscopy and the stan-
dard practice among gastroenterologists [30,31]. However, not all patients who are recom-
mended repeat colonoscopy may get it. A study analyzing commercial and Medicare claims
data found inadequate bowel preparation in 15%- 25% patients, but lower rates of repeat colo-
noscopies. The second assumption was colonoscopies with inadequate preparations were
reimbursed at the same rate as those with adequate preparations. Medicare pays for a screening
colonoscopy (without polyps) only once every ten years unless the physician informs Medicare
that the colonoscopy was incomplete, by using billing modifier 53 [38]. Medicare then pays for
the incomplete colonoscopy at half the rate of a regular colonoscopy. However, there is ambi-
guity around this billing practice and the billing modifier is rarely used. Medicare Part B claims
data from 2009–2013 shows that only 2–3% of all colonoscopies were billed with modifier 53
[38]. A study of sample Medicare screening colonoscopies from 2000–2008 showed that of all
the claims for colonoscopies without clear indications, only 2% were denied reimbursement
by Medicare [39]. Hence, we feel that using full reimbursement rates for inadequate colonos-
copies is justified. Third, it was assumed that all colonoscopies where a polyp was removed
were adequate. PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 Discussion Natural History (turquoise diamond). doi:10.1371/journal.pone.0167452.g002 colonoscopy is not a cost-effective strategy if more than 13% of colonoscopies are repeated
because of inadequate bowel preps. These findings are more pronounced given the model
assumed the current high costs of CRC treatment, which yields a cost-effectiveness advantage
for colonoscopy because it can prevent, not simply detect, cancer. Our analysis has several strengths. First, to calculate the cost of colonoscopy we used
weighted averages of reimbursement by different third party payers. This best reflects, settings
where colonoscopies are performed and the costs of anesthesia. Most cost-effective analyses
use only Medicare reimbursement rates and thus underestimate the true cost burden of colo-
noscopies. Second, our model accounts for population adherence to screening across all strate-
gies. This has been an important limitation of prior analyses because studies have shown
higher adherence rates for stool tests compared to endoscopies. In fact, this can influence the PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 10 / 17 Colonoscopy and Bowel Preparation Rates outpatients. Furthermore, the treatment arms of many randomized control trials had inade-
quate bowel preparation rates of 4–10% [42–48]. There are many variables that determine the quality of colon preparation. These include:
patient related variables (medical comorbidities, demographics, socio-economic, literacy);
preparation related factors (type, dose, timing); system related constraints (quality of prepara-
tion instructions, scheduling) and endoscopist related patterns of care (subjective rating of
quality of colon preparation and time spent to clean the colon). Most of the factors that deter-
mine colon preparation quality can be controlled. For example, Hassan et al proposed a pre-
dictive model based on patients’ demographics and comorbidities that could theoretically
decrease the inadequate preparation rate from 33% to 13% [48]. In practice, these proven
interventions are infrequently adopted and most endoscopy units still prescribe a standard
bowel preparation to all patients. This is likely because individualizing bowel preps is resource
intensive and many institutions may not feel necessary to invest in these resources. Based on these findings, perhaps inadequate bowel preparation rate should be a reportable
quality indicator. After all, better quality of bowel preparation is linked to higher adenoma
detection rate (ADR), which is now the most recognized and promoted quality indicator of
screening colonoscopy. Proper bowel preparation provides significant additive value to ADR. For example, a polyp may be removed from a colon with an inadequate preparation counting
towards ADR, but there may be other undetected polyps. Thus, total adenoma detection may
be lower with intermediate versus high-quality bowel preparation, even as ADRs remain
equivalent [49,50]. Lower inadequate bowel preparation rates would result in fewer repeat
colonoscopies. This data could be used by third party payers, accountable care organizations
and primary care physicians to guide their patients to endoscopy units that consistently have
better preparation rates. It is likely that inadequate bowel preparation rates as a reportable met-
ric would be an incentive for institutions to improve. It may also be an impetus for the endos-
copists to try harder to wash some of the intermediate preps converting them to adequate. In a
study comparing a public and private hospital affiliated to the same university, patients at the
public hospital were more likely to have a repeat colonoscopy for imperfect preps (20% vs. 12.5%) and the endoscopists spent less time in washing the colon (7.5% vs. 10.3% of the total
procedure time) [14]. PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 In reality, it is not uncommon for an endoscopist to remove a small polyp
when the preparation is intermediate and have the patient follow-up earlier than the recom-
mended three to five years. Studies suggest that in 25–50% of patients with small adenomas,
surveillance colonoscopies are recommended earlier than recommended in guidelines. These
patients were more likely to have less than excellent preps. Thus, this analysis underestimates
the burden of overuse of surveillance colonoscopy. The final assumption presumed patients
follow only one screening strategy. In reality, patients may change between different strategies,
but no data exists to quantify this potential and the purpose of the study was to compare one
strategy to the other. Our study has important clinical, financial and policy implications. Costs of screening colo-
noscopy have been under scrutiny in the last few years by third party payers and lay media. The increasing costs have prompted Medicare to propose more cuts in reimbursement rates
for colonoscopy. This analysis shows that decreasing reimbursements would have minimal
impact on overall costs. The professional societies fear that the cuts may even negatively
impact the colonoscopy screening rates [40]. The approach instead should be to promote
more effective use of screening colonoscopies, such as improving the inadequate bowel prepa-
ration rates and decreasing the costs associated with repeat colonoscopies. Screening colonos-
copies are cost-effective if the inadequate bowel preparation rate is less than 13%; a rate that is
certainly an achievable target with concerted efforts. The European Society of Gastroenterol-
ogy [8] has a recommendation of inadequate bowel preparation rate of less than 10% while the
American College of Gastroenterology [41] recently set this target as less than 15% for PLOS ONE | DOI:10.1371/journal.pone.0167452
December 9, 2016 11 / 17 Software: JK. Supervision: DA. Supervision: DA. Validation: JK SK FR. Visualization: JK DA. Writing – original draft: DA. Writing – review & editing: JK DA. Colonoscopy and Bowel Preparation Rates valid. Data on stool DNA tests was derived mainly from one study and this is subjected to bias. Second, while the analysis looked at differential adherence among screening tests, the possibil-
ity of decreasing adherence rates over time was not factored in. FIT is generally repeated every
year, whereas the recommended interval for colonoscopy is ten years. It is likely that with fre-
quent testing, adherence of FIT may decline over time. Third, the risk of CRC was not varied
by socio-demographic status. This may be important because African-Americans have higher
incidence of CRC and are more likely to have inadequate preps. Fourth, the model applies to a
US population and setting, and may not be generalizable. The way screening programs are
organized, funded and controlled are different in European countries and the US. The treat-
ment protocols and costs can be significantly different in the US compared to single payor sys-
tem in many European countries.” In conclusion, this research shows that for colonoscopy to be a cost effective screening strat-
egy for CRC, the inadequate bowel preparation rate should be less than 13%. For others, FIT
may be the preferred screening strategy. Inadequate bowel preparation rates should be a
reportable quality indicator. Author Contributions Conceptualization: DA JK. Data curation: JK SK FR. Formal analysis: JK SK FR. Funding acquisition: DA. Investigation: JK DA. Methodology: JK SK FR. 3.
Lebwohl B, Kastrinos F, Glick M, Rosenbaum AJ, Wang T, Neugut AI. The Impact of Suboptimal Prepa-
ration on Adenoma Miss Rates and the Factors Associated with Early Repeat Colonoscopy: Gastroint-
est Endosc. 2011; 73(6):1207–1214. doi: 10.1016/j.gie.2011.01.051 PMID: 21481857 Finally, one could argue that endoscopy units or institutions that consis-
tently fail to improve their inadequate bowel preparation rates to less than 13% should offer
FIT instead of colonoscopy as the preferred CRC screening strategy. There has been much emphasis and resources spent on increasing CRC screening rates to
“80% by 2018” [51,52]. This is certainly a worthy goal and it is estimated that increasing CRC
rates from 60% to 80% could decrease CRC mortality by almost 33%. If this increase in CRC
screening comes from increasing colonoscopy screening rates, it will cost significantly more
with an inadequate bowel preparation rate of 25% compared to 13%. In fact, if the current
inadequate preparation rates cannot be improved, then it is more cost effective to increase
rates of FIT since 100% adherence rate with FIT offers more QALYs at a lesser cost compared
to even 80% colonoscopy adherence rates. Stool DNA test was compared with other screening strategies and found to be more cost
effective than no screening but not compared to other screening strategies. This analysis deter-
mined $78 to be the threshold cost for stool DNA test to be cost effective. These results are sim-
ilar to the cost effectiveness study performed by the Agency of Healthcare Research and
Quality that calculated a cost of $34 -$60 for stool test to be a non-dominated option [40]. The
slight difference in results is likely due to new data on cost and efficacy. There are some limitations of the study, apart from those due to the aforementioned model
assumptions. First, while the best available data were used for estimates, the source of data ran-
ged from randomized control trials to observational studies and such comparisons may not be PLOS ONE | DOI:10.1371/journal.pone.0167452
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under the terms and conditions applicable to Other Posted Material, as set forth at http://
nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA Published Version
doi:10.1016/j.jdcr.2015.09.020 doi:10.1016/j.jdcr.2015.09.020 Citation Garrett, Giorgia L., Steven Y. He, Nica Sabouni, Adil Daud, and Sarah T. Arron. 2015. “Combined
dabrafenib and trametinib therapy in metastatic melanoma and organ transplantation:
Case report and review of the literature.” JAAD Case Reports 1 (6): S23-S25. doi:10.1016/
j.jdcr.2015.09.020. http://dx.doi.org/10.1016/j.jdcr.2015.09.020. Published Version
doi:10.1016/j.jdcr.2015.09.020 From the Departments of Dermatologya and Medicine,b University
of California, San Francisco; the Department of Medicine,
Harvard/Beth Israel Deaconess Medical Center, Bostonc; and
the University of California, Berkeley.d
Funding sources: None.
Conflicts of interest: None declared.
Correspondence to: Sarah T. Arron, MD, PhD, Department
of Dermatology, 1701 Divisadero St, San Francisco, CA 94115.
E-mail: arrons@derm.ucsf.edu. Combined dabrafenib and trametinib therapy in
metastatic melanoma and organ transplantation:
Case report and review of the literature
Giorgia L. Garrett, MD,a Steven Y. He, MD,c Nica Sabouni,d Adil Daud, MD,b and Sarah T. Arron, MD, PhD
San Francisco and Berkeley, California; and Boston, Massachusetts Key words: iatrogenic immunosuppression; metastatic melanoma; nonmelanoma skin cancer; solid organ
transplantation. Abbreviations used:
AJCC:
American Joint Committee on Cancer
CT:
computed tomography
OTRs:
organ transplant recipients
PET:
positron emission tomography Abbreviations used:
AJCC:
American Joint Committee on Cancer
CT:
computed tomography
OTRs:
organ transplant recipients
PET:
positron emission tomography Share Your Story The Harvard community has made this article openly available. Please share how this access benefits you. Submit a story . Accessibility INTRODUCTION Improved surgical techniques and superior post-
transplantcarehaveincreasedgraftsurvivalaftersolid
organ transplantation, and complications of lifelong
immunosuppression are increasingly prevalent in
clinical practice. The excess relative risk of melanoma
attributable to transplantation is between 2 and 12
times that of the general population,1 and given the
high tumor burden, this has important implications
for the surveillance and management of organ trans-
plant recipients (OTRs). Several risk factors for
melanoma are known, including immunosuppres-
sion, the presence of atypical nevi, light skin photo-
type, ultraviolet light exposure, and a family or
personal history of skin cancer.1,2 Here we report a
case of cutaneous melanoma arising posttransplant,
highlightingthesubstantialmorbidityandmortality of
this disease in OTR. In view of the increased risk of
melanoma and high potential for metastasis, derma-
tologists should monitor OTRs closely and institute
multidisciplinary care without delay. excision was performed, and sentinel lymph node
biopsy found 1 of 1 positive node in the left side of the
groin and 0 of 1 positive nodes in the right side of the
groin. In 2008, surveillance positron emission tomog-
raphy (PET)/computed tomography (CT) detected
left groin node recurrence, and a subsequent radical
left inguinal dissection found nodal positivity in 18 of
21 nodes. At that time, the patient underwent defin-
itive adjuvant radiation treatment to the left groin. In 2011, a surveillance PET/CT found multifocal
retroperitoneal lymphadenopathy, and a diagnosis
of metastatic melanoma was confirmed by CT-
guided biopsy. A BRAF V600E mutation was de-
tected, and the patient was enrolled in a phase 3
clinical trial evaluating combined dabrafenib and
trametinib therapy (selective BRAF and mitogen-
activated protein kinases inhibitors, respectively). She tolerated the regimen well, showing no evidence
of disease recurrence for 15 months. Unfortunately, a
single metastasis was found in the right side of the
skull in 2013, which was managed with stereotactic
radiotherapy (15000 Gy). Because of tumor progres-
sion, the patient was withdrawn from the study and
unfortunately died from complications of metastatic
disease later in the year. JAAD Case Reports 2015;1:S23-5.
2352-5126
2015 by the American Academy of Dermatology, Inc. Published
by Elsevier, Inc. This is an open access article under the CC BY-
NC-ND license (http://creativecommons.org/licenses/by-nc-nd/
4.0/).
http://dx.doi.org/10.1016/j.jdcr.2015.09.020 DISCUSSION Preclinical and
early development studies of combination dabrafe-
nib/trametinib have shown promising results, with
fewer side effects and less tumor resistance that either
agent used alone.16 Our patient had BRAF V600
mutant metastatic melanoma and was therefore
deemed a good candidate for enrollment in a phase
3 clinical trial testing combined BRAF and MEK
inhibitor treatment. She had an excellent initial
response to therapy, with progression-free survival
of 15 months or 5.5 months higher than the median
(9.4 months vs 6 to 7 months for monotherapy).16,17 The initial approach to posttransplant primary
melanoma follows the same principles as the non-
transplanted general population. Surgical excision
with wide margins is the first step after diagnostic
biopsy and can cure tumors that have not spread. The
size of the surgical margin is guided by the Breslow
thickness of the primary lesion. Tumors of more than
4.0 mm require 2-cm margins, and, because of the
high risk of nodal and distant metastasis, in this
clinical setting more extensive surgical resection is
unlikely to yield better outcomes. The AJCC pub-
lished an international melanoma staging system that
guides melanoma prognosis and treatment in immu-
nocompetent patients.7 The AJCC predicted that 5-
year survival for patients with early, regional nodal,
and metastatic melanoma disease is 85%, 24% to
69.5%, and 6%, respectively, where the 24% to 69.5%
range varies according to the number of positive
lymph nodes at diagnosis.7 Sentinel lymph node
biopsy is indicated for tumors greater than 1-mm
Breslow thickness or in the presence of increased
mitotic activity and ulceration on histology. Sentinel
lymph node positivity is found to be the strongest
predictor of mortality in melanoma,4,8 and in nodal
disease, PET/CT or direct CT yield information about
tumor staging and disease progression. Surgical Although these numbers are promising, at this
stage we cannot generalize her response to the
transplanted
population
as
a
whole. Further
research
on
melanoma
outcomes
in
OTRs
is
likely to inform effective treatment strategies in
relation to both immune therapy and reduction of
immunosuppression. Melanoma is a potentially fatal complication of
transplantation, and severe disease can dramatically
reduce both the quality of life and the chance of
survival in OTRs. The optimal setting for treating
OTRs who have melanoma is a multidisciplinary
clinic led by the primary transplant team. DISCUSSION control was deemed unlikely in our patient, as she
presented with a primary lesion of 17.5-mm Breslow
thickness
and
positive
lymph
node
status. Completion lymphadenectomy was not performed
at diagnosis, as this procedure is not found to increase
survival in early nodal disease.9 Three distinct clinical entities are of interest in
relation to melanoma in the OTR: donor-derived
melanoma, melanoma preceding organ transplanta-
tion, and de novo melanoma arising after transplant. In this report, we focus on de novo posttransplant
melanoma, the scenario most frequently encoun-
tered in clinical practice. Melanoma is an immune
responsive tumor, and the regression of benign and
malignant melanocytic lesions in response to im-
mune mechanisms is well documented.1,2 Iatrogenic
immunosuppression,
therefore,
is
expected
to
worsen melanoma outcomes after transplantation,
although to date no population-based study with
adequate power has addressed this issue in OTRs. Small, retrospective studies have found that Breslow
thickness is inversely correlated with melanoma
survival in this population.1,3-5 In a case series of
100 transplant patients, Matin et al6 found that OTRs
with melanomas of greater than 2 mm thickness
(American
Joint
Committee
on
Cancer
[AJCC]
TNM stage T3 or T4) had a significantly worse
prognosis than did immunocompetent patients with
similar tumors, whereas the prognosis did not differ
in tumors of # 2 mm thickness (TNM stage T1 and
T2). These data indicate that iatrogenic immunosup-
pression may be associated with worse prognosis in
patients with thicker tumors and highlight the need
for close surveillance and early diagnosis in the OTR. y
There is no cure for metastatic melanoma, which
has a median survival time of 7.5 months from
diagnosis.10 Conventional treatment strategies, such
as surgery, chemotherapy, and radiotherapy are not
effective in limiting the progression of tumor metas-
tasis and are often associated with adverse effects and
poor quality of life. Reassuringly, immunotherapy
and molecular targeted therapy have achieved partial
success in a subset of patients with unresectable
metastatic
melanoma. High-dose
interleukin-211
and, more recently, antieCTLA-4 (ipilimumab)12
and antiePD-1 (nivolumab)13 used as single agents
or in combination therapy, have achieved a long-term
survival of 5 years or longer. Dabrafenib and trame-
tinib, targeted BRAF and MEK1 inhibitors, respec-
tively,haveachieved a progression-free survival of up
to 3 years when used as monotherapy,14,15 although
as with most treatments based on oncogene-targeted
small molecules, tumor resistance has limited the
therapeutic response to these agents. CASE
66 A 66-year-old white woman with Fitzpatrick skin
type II received a heart transplant in 2001 for familial
hypertrophic cardiomyopathy and was maintained
on cyclosporine. She presented to the dermatology
department in 2005 for the evaluation of a rapidly
growing pigmented lesion on the umbilicus. A
biopsied found this lesion was a primary malignant
melanoma of 17.5 mm Breslow thickness. Wide local JAAD Case Reports 2015;1:S23-5. 2352-5126
2015 by the American Academy of Dermatology, Inc. Published
by Elsevier, Inc. This is an open access article under the CC BY-
NC-ND license (http://creativecommons.org/licenses/by-nc-nd/
4.0/). http://dx.doi.org/10.1016/j.jdcr.2015.09.020 S23 JAAD CASE REPORTS
NOVEMBER 2015 S24
Garrett et al REFERENCES 1. Zwald FO, Christenson LJ, Billingsley EM, et al. Melanoma in solid
organtransplant recipients. Am J Transplant. 2010;10:1297-1304. 1. Zwald FO, Christenson LJ, Billingsley EM, et al. Melanoma in solid
organtransplant recipients. Am J Transplant. 2010;10:1297-1304. 12. Hodi FS, O’Day SJ, McDermott DF, et al. Improved survival with
ipilimumab in patients with metastatic melanoma. N Engl J
Med [Internet]. 2010 Aug 19 [cited 2014 Jul 9];363(8):
711-23. Available from: http://www.pubmedcentral.nih.gov/
articlerender.fcgi?artid=3549297&tool=pmcentrez&rendertype
=abstract. 2. Hollenbeak CS, Todd MM, Billingsley EM, Harper G, Dyer AM,
Lengerich EJ. Increased incidence of melanoma in renal
transplantation recipients. Cancer. 2005;104:1962-1967. 3. Le Mire L, Hollowood K, Gray D, Bordea C, Wojnarowska F. Melanomas in renal transplant recipients. Br J Dermatol. 2006;
154:472-477. 13. Mamalis A, Garcha M, Jagdeo J. Targeting the PD-1 pathway: a
promising future for the treatment of melanoma. Arch
Dermatol Res [Internet]. 2014 Aug [cited 2015 Jan 10];
306(6):511-19. Available from: http://www.ncbi.nlm.nih.gov/
pubmed/24615548. 4. Brown VL, Matin RN, Cerio R, Leedham-Green ME, Proby CM,
Harwood CA. Melanomas in renal transplant recipients: the
London experience, and invitation to participate in a European
study. Br J Dermatol [Internet]. 2007 Jan [cited 2014 Oct 13];
156(1):165-7; author reply 167-9. Available from: http://www. pubmedcentral.nih.gov/articlerender.fcgi?artid=2423223&tool
=pmcentrez&rendertype=abstract. 14. Falchook GS, Long GV, Kurzrock R, et al. Dabrafenib in patients
with melanoma, untreated brain metastases, and other solid
tumours: A phase 1 dose-escalation trial. Lancet. 2012;379:
1893-1901. 5. Penn I. Malignant melanoma in organ allograft recipients. Transplantation. 1996;61:274-278. 15. Flaherty KT, Infante JR, Daud A, et al. Combined BRAF and MEK
inhibition in melanoma with BRAF V600 mutations. N Engl J
Med. 2012;367:1694-1703. 6. Matin RN, Mesher D, Proby CM, et al. Melanoma in organ
transplant
recipients:
clinicopathological
features
and
outcome in 100 cases. Am J Transplant. 2008;8:1891-1900. 16. Johnson DB, Flaherty KT, Weber JS, et al. Combined BRAF
(Dabrafenib) and MEK inhibition (Trametinib) in patients with
BRAFV600-mutant melanoma experiencing progression with
single-agent BRAF inhibitor. J Clin Oncol [Internet]. 2014 Oct 6
[cited 2014 Oct 7]; 32:3697-704. Available from: http://jco. ascopubs.org/cgi/doi/10.1200/JCO.2014.57.3535. 7. Balch CM, Buzaid AC, Soong SJ, et al. Final version of the
American Joint Committee on Cancer staging system for
cutaneous melanoma. J Clin Oncol. 2001;19:3635-3648. 8. Debarbieux S, Duru G, Dalle S, Beatrix O, Balme B, Thomas L. Sentinel lymph node biopsy in melanoma: A micromorpho-
metric study relating to prognosis and completion lymph
node dissection. Br J Dermatol. 2007;157:58-67. 17. DISCUSSION In the
presence of life-threatening tumors, a reduction or
modification
of
immunosuppression
should
be
considered, after carefully balancing the risk of
allograft rejection against the risk of melanoma
mortality. Dermatologists play a key role in this JAAD CASE REPORTS
VOLUME 1, NUMBER 6 Garrett et al
S25 Garrett et al
S25 10. Barth A, Wanek LA, Morton DL. Prognostic factors in 1,521
melanoma patients with distant metastases. J Am Coll Surg. 1995;181:193-201. assessment, as they may be the only team members
able to quantify the tumor burden. A decision was
made against a reduction of immunosuppression in
our patient, as her cyclosporine regime was deemed
necessary to preserve allograft function. 11. Rosenberg SA, Yang JC, Topalian SL, et al. Treatment of 283
consecutive patients with metastatic melanoma or renal cell
cancer using high-dose bolus interleukin 2. JAMA [Internet]. 1994 Jan [cited 2014 Oct 24];271(12):907-13. Available from:
http://www.ncbi.nlm.nih.gov/pubmed/8120958. REFERENCES Sosman JA, Kim KB, Schuchter L, et al. Survival in BRAF
V600-mutant advanced melanoma treated with vemurafenib. N Engl J Med [Internet]. 2012 Feb 23 [cited 2014 Oct 12];366(8):
707-14. Available from: http://www.pubmedcentral.nih.gov/
articlerender.fcgi?artid=3724515&tool=pmcentrez&rendertype
=abstract. 9. Veronesi U, Adamus J, Bandiera DC, et al. Inefficacy of
immediate node dissection in stage 1 melanoma of the limbs. N Engl J Med. 1977;297:627-630.
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Genomic amplification of 9p24.1 targeting <i>JAK2</i>, <i>PD-L1</i>, and <i>PD-L2</i> is enriched in high-risk triple negative breast cancer
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Oncotarget
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cc-by
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ABSTRACT We used DNA content flow cytometry followed by oligonucleotide array based
comparative genomic hybridization to survey the genomes of 326 tumors, including
41 untreated surgically resected triple negative breast cancers (TNBC). A high level
(log2ratio ≥1) 9p24 amplicon was found in TNBC (12/41), glioblastomas (2/44),
and colon carcinomas (2/68). The shortest region of overlap for the amplicon
targets 9p24.1 and includes the loci for PD-L1, PD-L2, and JAK2 (PDJ amplicon). In
contrast this amplicon was absent in ER+ (0/8) and HER2+ (0/15) breast tumors,
and in pancreatic ductal adenocarcinomas (0/150). The PDJ amplicon in TNBCs was
correlated with clinical outcomes in group comparisons by two-sample t-tests for
continuous variables and chi-squared tests for categorical variables. TNBC patients
with the PDJ amplicon had a worse outcome with worse disease-free and overall
survival. Quantitative RT-PCR confirmed that the PDJ amplicon in TNBC is associated
with elevated expression of JAK2 and of the PD-1 ligands. These initial findings
demonstrate that the PDJ amplicon is enriched in TNBC, targets signaling pathways
that activate the PD-1 mediated immune checkpoint, and identifies patients with a
poor prognosis. Michael T. Barrett1, Karen S. Anderson2, Elizabeth Lenkiewicz1, Mariacarla
Andreozzi1, Heather E. Cunliffe3, Christine L. Klassen4, Amylou C. Dueck5, Ann E.
McCullough6, Srikanth K. Reddy7, Ramesh K. Ramanathan8, Donald W. Northfelt8,
Barbara A. Pockaj4 1Department of Research, Mayo Clinic in Arizona, Scottsdale, Arizona, United States of America
2Biodesign Institute, Arizona State University, Tempe, Arizona, United States of America
3Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
4Division of General Surgery, Section of Surgical Oncology, Mayo Clinic in Arizona, Phoenix, Arizona, United States of America
5Section of Biostatistics, Mayo Clinic in Arizona, Scottsdale, Arizona, United States of America
6Department of Pathology and Laboratory Medicine, Mayo Clinic in Arizona, Scottsdale, Arizona, United States of America
7Vanderbilt University, Nashville, Tennessee, United States of America
8 n of Hematology-Oncology, Mayo Clinic in Arizona, Scottsdale, Arizona, United States of America
pondence to: Oncotarget, Vol. 6, No. 28 Oncotarget, Vol. 6, No. 28 www.impactjournals.com/oncotarget/ www.impactjournals.com/oncotarget INTRODUCTION [2–4]. PD-1 is a CD28 and CTLA-4 homologue that is
normally induced on activated T cells, but the chronic
antigenic exposure in cancer may lead to high levels of
PD-1 and T cell exhaustion [5]. Consequently PD-1 and
its ligands are being investigated as candidate biomarkers
for response to targeted immune checkpoint blockade
in clinical trials of an increasing variety of tumors. Two
PD-1 inhibitors, nivolumab and pembrolizumab, have
been approved for clinical use in melanoma and are in
clinical trials in other solid tumors [6]. In melanoma, the There is an emerging recognition of the role
of immune checkpoints in the pathogenesis of solid
tumors [1]. Distinct inhibitory pathways serve to regulate
T cell activation and function. These include the immune
regulatory molecules PD-L1 and PD-L2 that limit the
duration and the level of the T-cell response. Increased
expression of these ligands of the immune checkpoint
receptor PD-1 has been reported in human tumors www.impactjournals.com/oncotarget Oncotarget 26483 and provide a candidate biomarker for patients who may
benefit from immune checkpoint targeted therapies. In
order to address tissue and clonal heterogeneity in clinical
samples we used DNA content based flow sorting to
identify and purify distinct tumor populations in each
tissue of interest [17–19]. There are well-established DNA
staining based methods for isolating nuclei of aneuploid,
tetraploid, and diploid neoplastic populations from solid
tumor samples [20–23]. Individual populations of cells
or nuclei can be objectively and quantitatively purified
to greater than 95% purity for molecular analyses even
in heavily admixed and sub-optimal clinical samples. We have developed and extensively validated flow
cytometry based methodologies to study a wide variety
of clinical samples including small needle biopsies, post
treatment tissues, and formalin fixed paraffin embedded
(FFPE) tissues with high definition genome assays such
as oligonucleotide based array comparative genomic
hybridization (aCGH) and next generation sequencing
NGS [18, 24]. combination of nivolumab plus ipilimumab which targets
the PD-1 homologue CTLA-4 was associated with a
> 80% decline in tumor burden at 12 weeks in respondents
and a 53% overall response rate (ORR) [7]. More recent
studies with a larger cohort of patients with untreated
metastatic melanoma reported an ORR of 61% for the
combination therapy with complete responses in 22% of
patients [8]. However clinical studies have been limited by
the lack of predictive biomarkers of disease response, the
complexity of tumor genomes, and the degeneracy of the
receptor/ligand interactions. INTRODUCTION The Janus kinase 2 gene (JAK2) is one of four
members of the JAK family (which includes JAK1,
JAK2, JAK3 and non-receptor protein-tyrosine kinase 2
(TYK2) [9]. JAKs associate with the cytoplasmic
portion of a variety of transmembrane cytokine
and growth factor receptors important for signal
transduction in hematopoietic cells. Receptor binding
by extracellular ligand causes receptor multimerization
and brings JAK proteins together to allow activation by
transphosphorylation. Activated JAK2 has emerged as
an important target in myeloproliferative disorders, and
increasingly, in solid tumors [10]. Significantly JAK2 has
been implicated in interleukin (IL)-6-dependent breast
cancer stem cell self-renewal [11], and in both IL-6- and
IL-8-dependent growth of triple-negative breast cancers
(TNBCs) [12]. Pre-clinical studies have implicated
JAK2 signaling as a mechanism of escape from targeted
therapies in TNBC and as a promoter for the emergence
of more invasive tumor cells [13]. Thus, JAK2 inhibitors
are being evaluated in patients with breast and other
solid tumors. However a case control study of 223 breast
tumors reported an association between increased JAK2
mRNA levels and favorable prognosis [14], and a strong
correlation between JAK2 mRNA levels with the presence
of tumor-infiltrating lymphocytes (TILs). The protective
effect of elevated JAK2 expression was not associated
with increased JAK2 protein levels in the tumor epithelial
cells. These observations suggest that therapeutic targeting
of JAK2 expression may abrogate the potential benefits
arising from an antitumor immune response. Thus the
clinical significance of selective amplification and
overexpression of JAK2 arising from the often highly
aberrant genomic landscapes of solid tumors remains to
be elucidated. To test our hypothesis we surveyed the genomes
of 326 clinical samples representing pancreatic ductal
adenocarcinomas (PDA) (n = 150), glioblastomas (n = 44),
colorectal carcinomas (n = 68), and breast carcinomas
(n = 64). Each tumor sample in this study was flow
sorted prior to copy number analysis with oligonucleotide
based aCGH. These data were then used to determine
the prevalence of amplification of PD-L1, PD-L2, and
JAK2 at chromosome 9p24.1 within each tumor type. The
presence of this “PDJ” amplicon was then correlated with
expression of JAK2 and the PD-1 ligands, and to clinical
outcomes in a subset of patients. RESULTS We detected and sorted an aneuploid and/or a
proliferating tumor fraction from each clinical sample
in this study. These fractions were gated during sorting
providing highly purified and objectively defined tumor
populations from each sample for analysis. The tissues
included triple negative breast cancer n = 41, HER2+
breast cancer n = 15, ER+HER2- breast cancer n = 8,
pancreatic adenocarcinoma n = 150 (including 30 liver
metastases), colorectal carcinoma n = 68, and glioblastoma
n = 44. These included both fresh frozen and formalin
fixed paraffin embedded (FFPE) clinical samples. The
tumor cellularity prior to sorting varied extensively from
less than 10% to greater than 70% across tissue types. The genomes of each sorted tumor cell population were
interrogated with whole genome oligonucleotide based
aCGH. Copy number aberrant intervals were identified
and their genomic boundaries mapped using a step gram
algorithm [25]. Amplicons were then ranked within
each sample based on their fold change and their overall
prevalence in tumor genomes. A recurring top ranked and
high level (log2ratio ≥1) amplicon that targeted 9p24.1 The PD-L1 and PD-L2 genes localize to 9p24.1
adjacent to JAK2 and there is emerging data that
an amplicon targeting this 9p24.1 locus is present
in lymphomas and a subset of EBV-positive gastric
cancers [15, 16]. Furthermore JAK2 has been shown
to up-regulate the transcription of both PD-1 ligands
and increase sensitivity to JAK2 inhibitors in a dose
dependent manner [16]. We hypothesized that targeted
amplification of 9p24.1 in tumor genomes would result
in co-amplification of PD-L1, PD-L2, and JAK2, identify
a distinct molecular subtype arising in multiple cancers, www.impactjournals.com/oncotarget Oncotarget 26484 was detected in 12/41 TNBCs, 2/68 colon carcinomas,
and 2/44 glioblastomas (Figs. 1 and 2). In contrast this
amplicon was absent in ER+ (n = 8) and HER2+ (n = 15)
breast tumors, and in pancreatic ductal adenocarcinomas
(n = 150). The shortest region of overlap (SRO) spanned
777 kb and included the PD-1 ligands PD-L1, PD-L2, and
the Janus kinase 2 (JAK2) loci (Fig. S1). The height of this
recurring amplicon included mean log2ratios >4 consistent
with amplification of genomic drivers such as HER2 and
MYC described in breast cancer and other solid tumor
genomes. genes compared to those without the amplicon (Fig. 2). The latter included samples with low level copy number
gains (log2ratio >0 and <1) at 9p24.1 including increases of
whole 9p arm and polysomy of chromosome 9. RESULTS In addition
we identified another TNBC in the subset of 15 tumors
without aCGH data with concurrent elevated expression
of JAK2 and PD-L1 (Fig. S2). PD-L2 expression was also
elevated in the presence of the PDJ amplicon however it
did not reach statistical significance ( p < 0.0645) in this
preliminary study. These observations are consistent with
studies showing that genomic amplification of 9p24.1
leads to coordinated overexpression of these genes in
human tumors [15, 16]. In order to determine the effect of the PDJ amplicon
on JAK2, PD-L1, and PD-L2 expression we selected 31
TNBC samples, 16 of which were profiled in our copy
number analysis, for qRT-PCR analysis. We used a pooled
sample comprised of an unrelated normal breast, and
individual TNBC, ER+, and HER2+ tumor tissues to
generate a standard curve for assaying JAK2, PD-L1 and
PD-L2 expression in our TNBC cohort. Tumors with a
high level amplicon (4/16 TNBCs surveyed by qRT-PCR)
had significantly higher expression of JAK2 and PD-L1 Clinical data was available on 36 of 41 (88%) of
the TNBC patients that were flow sorted then profiled
for copy number (Table 1). Patients with the high level
PDJ amplicon (n = 8) were noted to have larger tumors
(mean 3.9 cm vs. 1.9 cm, p = 0.04) and a higher incidence
of lymph node metastases (75% vs. 26%, p = 0.01). Lymphocytic infiltration was noted in 4 of the 36 patients,
none of whom had the PDJ amplicon in their tumor Figure 1: Whole genome and chromosome 9 aCGH plots of flow sorted tumor populations. A. Colorectal (CRC) and
B–C. triple negative breast cancers (TNBC) with high level 9p24.1 amplicon. Amplicons were scored according to log2ratios >1. Blue
arrows denote JAK2 locus. Figure 1: Whole genome and chromosome 9 aCGH plots of flow sorted tumor populations. A. Colorectal (CRC) and
B–C. triple negative breast cancers (TNBC) with high level 9p24.1 amplicon. Amplicons were scored according to log2ratios >1. Blue
arrows denote JAK2 locus. www.impactjournals.com/oncotarget Oncotarget 26485 Figure 2: The 9p24 amplicon in a triple negative breast cancer genome. A. Flow histogram of sorted 3.2N TNBC
population from FFPE tissue. B. Chromosome 9 CGH plot and detection of 9p24 amplicon. C. Gene specific view of amplicon. Red shaded area denotes ADM2 defined copy number aberrant region. D. Gene expression of JAK2, PD-L1, and PD-L2 in TNBC. RESULTS Comparisons and correlations between the expression levels of PD-L1, PD-L2, and JAK2 genes and copy number status of chromosome
9p24.1 were performed using an unpaired t test and variation among and between groups were calculated using an ANOVA test
(GraphPad Prism 6). Figure 2: The 9p24 amplicon in a triple negative breast cancer genome. A. Flow histogram of sorted 3.2N TNBC
population from FFPE tissue. B. Chromosome 9 CGH plot and detection of 9p24 amplicon. C. Gene specific view of amplicon. Red shaded area denotes ADM2 defined copy number aberrant region. D. Gene expression of JAK2, PD-L1, and PD-L2 in TNBC. Comparisons and correlations between the expression levels of PD-L1, PD-L2, and JAK2 genes and copy number status of chromosome
9p24.1 were performed using an unpaired t test and variation among and between groups were calculated using an ANOVA test
(GraphPad Prism 6) Figure 2: The 9p24 amplicon in a triple negative breast cancer genome. A. Flow histogram of sorted 3.2N TNBC
population from FFPE tissue. B. Chromosome 9 CGH plot and detection of 9p24 amplicon. C. Gene specific view of amplicon. Red shaded area denotes ADM2 defined copy number aberrant region. D. Gene expression of JAK2, PD-L1, and PD-L2 in TNBC. Comparisons and correlations between the expression levels of PD-L1, PD-L2, and JAK2 genes and copy number status of chromosome
9p24.1 were performed using an unpaired t test and variation among and between groups were calculated using an ANOVA test
(GraphPad Prism 6). inhibition occurs in a dose-dependent manner [26]. Thus genomic amplification of 9p24.1 may provide a
selective tumor cell dependent increase in both JAK2 and
immune checkpoint signaling. In addition, copy number
gains on chromosome 9 that include 9p24.1 and elevated
expression of PD-L1 within tumor cells have recently been
associated with substantial therapeutic activity in patients
with advanced or refractory Hodgkin’s lymphoma treated
with the PD-1 inhibitor nivolumab [27]. Notably, two early
phase I trials of PD-1/PD-L1 blockade (pembrolizumab
or MPDL3280A) in TNBC have demonstrated overall
response rates of 15–20% [28, 29]. genome. Twenty nine of these 36 TNBC patients received
chemotherapy after definitive surgical therapy. The
disease-free survival rate at 5 years was 25% in the PDJ
amplified patients, and 66% in the unamplified patients
( p = 0.005) (Fig. 3). Overall survival (OS) at 5 years
was 25% in the PDJ amplified patients, compared with
69% in the unamplified patients ( p = 0.004). RESULTS Thus our
preliminary results suggest that the presence of the PDJ
amplicon defines a clinically significant subset of high-
risk TNBC patients. DISCUSSION Progression free survival. Lower disease-
free survival at 5 years 25.0% vs. 66.0%, p = 0.005. B. Overall survival. Lower overall survival at 5 years 25.0% vs. 69.0%, p = 0.004. Median follow up is 4.7 years (range 0.9–12.0 years). Not Amplified (N = 28)
Amplified (N = 8)
Total (N = 36)
p value
Radiation
[Mastectomy only]
0.882
Missing
17 (.%)
4 (.%)
21
No
5 (45.5%)
2 (50%)
7 (46.7%)
Yes
6 (54.5%)
2 (50%)
8 (53.3%)
1Two-Sample T-Test Figure 3: Clinical outcomes for TNBC patients with or without PDJ amplicon. A. Progression free survival. Lower disease-
free survival at 5 years 25.0% vs. 66.0%, p = 0.005. B. Overall survival. Lower overall survival at 5 years 25.0% vs. 69.0%, p = 0.004. Median follow up is 4.7 years (range 0.9–12.0 years). has been associated with a better prognosis and decreased
risk of recurrence [14]. Thus an important clinical question
is the role of a tumor cell driven elevation in JAK2 and
PD-1 ligands versus increases arising from immune cells
in solid tissue cancers [6, 27]. correlative studies with FISH based markers in lymphoma
have proposed that even tumors with low level 9p gains
and chromosome 9 polysomy may benefit from PD-1
targeted therapies [27].il Our preliminary results with highly purified flow
sorted clinical samples and an array platform designed
for whole genome copy number measures suggest that
the PDJ amplicon has a SRO that targets JAK2 and the
PD-1 ligands, is enriched in a subset of TNBCs with poor
outcomes prior to therapy, and is distinct from background
genomic aberrations affecting chromosome 9. Given the
coordinated overexpression of PD-L1, PD-L2, and JAK2,
antagonists targeting PD-1 signaling and JAK2 inhibitors
should be evaluated in the context of PDJ amplification. Thus we propose that the PDJ amplicon provides a
candidate biomarker for identifying high-risk patients and
for advancing emerging immunotherapies in TNBC. The
absence of this amplicon in pancreatic adenocarcinoma
samples and its relatively low frequencies in colorectal
cancers and glioblastomas are consistent with relatively
low response rates reported in these and other solid tumors
when compared to TNBC [33, 34]. DISCUSSION PD-L1 expression across multiple solid tumors
varies significantly by tumor type and appears common
in both tumor-infiltrating immune cells and in tumor
cells [4, 30]. Elevated PD-L1 expression from tumor
infiltrating immune cells had a stronger association with
clinical response than that observed with expression from
the tumor cells [4]. Significantly elevated expression of
JAK2 in the non-epithelial compartment of breast tumors Studies in gastric cancer and in lymphomas have
described a recurring 9p24.1 amplicon that includes
PD-L1, PD-L2, and JAK2 [15, 16]. The presence of the
amplicon was associated in a subset of each tumor type
with distinct pathological and clinical features. Functional
studies revealed that JAK2 is a transcriptional activator
of both PD-1 ligands [16] and that sensitivity to JAK2 www.impactjournals.com/oncotarget Oncotarget 26486 Table 1: Comparison between patients with and without PDJ amplification
Not Amplified (N = 28)
Amplified (N = 8)
Total (N = 36)
p value
Age [years]
0.791
Mean (SD)
53.4 (12.88)
54.8 (8.71)
53.7 (11.98)
Median
54.0
53.5
54.0
Range
(29.0–78.0)
(45.0–72.0)
(29.0–78.0)
Tumor Size [cm]
0.041
Mean (SD)
1.9 (0.86)
3.9 (3.88)
2.4 (2.11)
Median
1.9
2.5
2.0
Range
(0.5–4.0)
(0.4–11.0)
(0.4–11.0)
Grade
0.632
1
1 (3.6%)
0 (0%)
1 (2.8%)
2
7 (25%)
1 (12.5%)
8 (22.2%)
3
20 (71.4%)
7 (87.5%)
27 (75%)
Lymphocytic
Infiltrates
0.212
Missing
10 (.%)
2 (.%)
12
No
14 (77.8%)
6 (100%)
20 (83.3%)
Yes
4 (22.2%)
0 (0%)
4 (16.7%)
Lymph Nodes
0.012
Missing
1 (%)
0 (.%)
1
Negative
20 (74.1%)
2 (25%)
22 (62.9%)
Positive
7 (25.9%)
6 (75%)
13 (37.1%)
Cancer Stage
0.042
Missing
1 (.%)
0 (.%)
1
Stage I
11 (40.7%)
1 (12.5%)
12 (34.3%)
Stage II
13 (48.1%)
3 (37.5%)
16 (45.7%)
Stage III
3 (11.1%)
4 (50%)
7 (20%)
Surgical
Treatment
0.702
Missing
9 (.%)
2 (.%)
11
Breast
Conservation
Therapy (BCT)
8 (42.1%)
2 (33.3%)
10 (40%)
Mastectomy
11 (57.9%)
4 (66.7%)
15 (60%)
Chemotherapy
0.102
Neoadjuvant
1 (3.6%)
2 (25%)
3 (8.3%)
No
4 (14.3%)
0 (0%)
4 (11.1%)
Yes
23 (82.1%)
6 (75%)
29 (80.6%)
(Continued) www.impactjournals.com/oncotarget Oncotarget 26487 Not Amplified (N = 28)
Amplified (N = 8)
Total (N = 36)
p value
Radiation
[Mastectomy only]
0.882
Missing
17 (.%)
4 (.%)
21
No
5 (45.5%)
2 (50%)
7 (46.7%)
Yes
6 (54.5%)
2 (50%)
8 (53.3%)
1Two-Sample T-Test
2Chi-Square
Figure 3: Clinical outcomes for TNBC patients with or without PDJ amplicon. A. DISCUSSION However the presence
and role of the PDJ amplicon in a smaller subset (2–5%)
of colorectal cancers, including primary and matching Previous in vitro studies of a 9p amplicon in a small
panel of established breast cancer cell lines excluded
JAK2, PD-L1, and PD-L2 loci from the SRO reported
[31]. However JAK2 copy number levels assessed in
bulk TNBC biopsies by targeted resequencing of a
panel of 196 cancer associated genes have been reported
to be elevated in residual disease post neoadjuvant
chemotherapy. The JAK2 amplification was associated
with poor regression free survival (RFS) and predicted
poor OS in a subset (~10%) of TNBCs [32]. The
prevalence of JAK2 amplification was noted to be higher
in these post treatment TNBCs than reported for treatment
naïve TNBCs in TCGA. The latter are based on single
nucleotide polymorphism (SNP) array data of bulk tumor
samples. Consequently it remained to be resolved whether
JAK2 amplifications and the potential co-amplifications
of PD-L1 and PD-L2 are present in untreated TNBCs, and
whether genomic amplification at 9p24.1 may provide
a biomarker for clinical outcome. Furthermore recent www.impactjournals.com/oncotarget Oncotarget 26488 lymph node biopsies (Fig. S3), and glioblastomas warrants
further investigation. relevant assays (e.g. targeted resequencing, FISH, IHC) to
efficiently identify those patients with the PDJ amplicon. We propose that the PDJ amplicon in TNBC and other
solid tumors represents a novel candidate biomarker with
broad application for cancer research and for advancing
personalized therapies for cancer patients. g
Given the highly aberrant genomic landscapes of
TNBCs and other solid tumors, alterations that disrupt
immune regulatory signaling pathways upstream or
downstream of PDJ amplicon may provide additional
biomarkers for this emerging class of therapies [35]. Studies in cell line models suggest that deletions in PTEN
and disruption of AKT signaling can increase PD-L1
levels [36]. Our use of flow sorted clinical samples
provides a robust objective method to detect somatic
lesions targeting clinically actionable pathways [18, 24]. For example we detected focal deletions of PTEN in
the tumor genomes of 5/12 PDJ positive TNBCs (Fig. 4
and Fig. S4). Future studies will incorporate flow sorted
tissue samples and both copy number and next generation
sequencing analyses to provide a more comprehensive and
unbiased profile of the genomic landscapes of tumors with
the PDJ amplicon. Of significant interest will be biopsies
from patients enrolled in clinical trials with agents that
target the PD-1 immune checkpoint. DISCUSSION The ability to
discriminate mutations and genomic lesions including
the PDJ amplicon arising in the epithelial component of
solid tumors and to comprehensively interrogate genomes
in the pre and post adjuvant setting, regardless of tumor
cell content, will be essential to understand clinical
responses and to advance effective immunotherapies. These data will also be used to develop robust clinically Clinical samples TNBC, ER+, and HER2+ samples were obtained
under approval from the Mayo Clinic Institutional Review
Board prior to undertaking this study (IRB protocol
08-006579). Tumor specimens were obtained from
formalin fixed paraffin embedded (FFPE) archived breast
cancer samples obtained at the time of definitive surgical
resection. All breast cancers underwent central pathologic
review, and were evaluated by IHC for estrogen receptor
(ER), progesterone receptor (PR), and by IHC +/− FISH
for Her2/neu under CLIA/CAP guidelines. TNBC samples
were also obtained from The Inflammatory Breast Cancer
Research Foundation (IBCRF) Biobank. Samples were
collected following informed consent by the IBCRF under
approval of their IRB and their Medical Advisory Board. Additional flow sorted TNBC data was from a previous
study of breast cancer genomes that was performed with
informed consent and ethics committee approvals [37]. Figure 4: PTEN homozygous deletion in PDJ+ triple negative breast cancer genome. A. Flow histogram of sorted 5.0N
TNBC population from FFPE tissue. B–C. Chromosome 10 and chromosome 9 CGH plots. D. Gene specific view of PTEN homozygous
deletion. Blue shaded area denotes ADM2 defined copy number aberrant region. Figure 4: PTEN homozygous deletion in PDJ+ triple negative breast cancer genome. A. Flow histogram of sorted 5.0N
TNBC population from FFPE tissue. B–C. Chromosome 10 and chromosome 9 CGH plots. D. Gene specific view of PTEN homozygous
deletion. Blue shaded area denotes ADM2 defined copy number aberrant region. www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 26489 FFPE sample preparation Prior to sorting, excess paraffin was removed
with a scalpel from either side of 40–60 um scrolls
then processed according to our published methods
[24]. Briefly each sectioned piece was collected into
individual microcentrifuge tubes then washed three
times with 1 ml Xylene for 5 minutes to remove
remaining paraffin. Each sample was rehydrated in
sequential ethanol washes (100% 5 minutes × 2, then
95%, 70%, 50% and 30% ethanol) and washed 2 times
in 1 ml 1 mM EDTA pH 8.0. A 1 ml aliquot of 1 mM
EDTA pH 8.0 was added to the samples and incubated at
95°C for 80 minutes to facilitate the removal of protein
cross-links present in FFPE tissue. Samples were then
cooled to room temperature for ≥5 minutes, followed by
addition of 300 ul PBS pH 7.4 and gentle centrifugation
for 2 minutes at 3.6 × g. The supernatant was carefully
removed and the pellet washed three times with 1 ml
PBS pH 7.4/0.5 mM CaCl2 to remove EDTA. Each
sample was digested overnight (6–17 hours) in 1 ml
of a freshly prepared enzymatic cocktail containing
50 units/ml of collagenase type 3, 80 units/ml of purified
collagenase, and 100 units/ml of hyaluronidase in PBS
pH 7.4/0.5 mM CaCl2 buffer. Following overnight
digestion 500 ul NST buffer (146 mM NaCl, 10 mM
Tris-HCl, pH 7.5, 1 mM CaCl2, 0.5 mM MgSO4, 21 mM
MgCl2, 0.05% bovine serum albumin, 0.2% Nonidet
P40 (Sigma)) with 4, 6-diamindino-2-phenylindole
(DAPI; 10 μg/ml) was added to each sample to facilitate
pelleting. Samples were centrifuged for 5 minutes at
3000 × g, after which pellets were resuspended in 750 ul
of NST/10% fetal bovine serum and then passed through
a 25 G needle 10–20 times. We used a single 50 μm
scroll from each FFPE tissue block to obtain sufficient
numbers of intact nuclei for subsequent sorting and
molecular assays. DNA extraction DNA from sorted nuclei was extracted using an
amended protocol from QIAamp® DNA Micro Kit from
Qiagen (Valencia, CA). Briefly each sorted sample was
resuspended in 180 ul buffer ATL and 20 ul proteinase
K (20 mg/ml) then incubated for 3 hours at 56°C for
complete lysis. Samples were bound and washed according
to QIAamp® DNA Micro Kit instructions, eluted into 50 ul
of H20, then precipitated overnight with 5 ul 3 M sodium
acetate and 180 ul 100% EtOH. Each sample was then
centrifuged for 30 minutes at 20, 000 × g, washed in 1 ml
of 70% EtOH for 30 minutes at 20, 000 × g. The samples
were carefully decanted and the DNA pellet was dried
by speed vacuum then resuspended in a small volume
(e.g. 10–50 ul) of H20 for final concentrations suitable for
accurate quantitation. Flow cytometry PDA samples were from previous studies obtained
under a WIRB protocol (20040832) for an NIH funded
biospecimen repository (NCI P01 Grant CA109552),
Stand up To Cancer clinical trials 2026001 and 2026003,
and with approved consent of the Ethics Committee of
Basel (252/08, 302/09).The glioblastoma samples were
collected for another previous study with informed consent
from patients at the Neurosurgery Department of the
Centre Hospitalier in Luxembourg (CHL) [38]. Samples
were approved for study by the National Ethics Committee
for Research (CNER) of Luxembourg. In all cases written
consent was obtained. De-identified colon samples did
not qualify as human subjects according to guidelines
administered by the Translational Genomics Research
Institute (TGen) Office of Research Compliance and were
collected under an institutional blanket exemption as part
of different research initiatives and from the Cooperative
Human Tissue Network (CHTN). Biopsies were minced in the presence of NST buffer
and DAPI according to published protocols [23, 39, 40]. Prior to sorting each sample was filtered through a 35 um
mesh and collected into a 5 ml Polypropylene round
bottom tube. The mesh was rinsed with an additional
750 ul of NST/10% fetal bovine serum and placed on ice
while processing remaining samples. The total volume in
the tube for each sample was approximately 1.5 ml. An
equal volume of 20 ug/ml DAPI was added to each tube
to achieve a final concentration of 10 ug/ml DAPI for
flow sorting with a BD Influx cytometer with ultraviolet
excitation (Becton-Dickinson, San Jose, CA). The optimal
settings for sorting FFPE samples with the Influx sorter
were as follows: Drop formation was achieved with piezzo
amplitude of 6–10 volts and a drop frequency of 30 khertz. The sort mode was set to purity yield with a drop delay
of 31.5–32. Sheath fluid pressure was typically 17–18 psi
with a 100 um nozzle. For single parameter DNA content
assays DAPI emission was collected at >450 nm. DNA
content and cell cycle were then analyzed using the
software program MultiCycle (Phoenix Flow Systems,
San Diego, CA). REFERENCES Total RNA was extracted from one whole-tissue
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carried out using SuperScript® VILO™ cDNA Synthesis
Kit (Life Technologies) and 200 ng of RNA per reaction,
with triplicate reactions performed for each sample [41]. Each of the 31 samples produced sufficient RNA yield
and quality. Quantitative Real-Time PCR was performed
for CD274, PDCD1LG2, and JAK2 (Hs01125301_m1,
Hs01057777_m1 Hs00234567_m1, respectively; Life
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Assessment of the vulnerability of alpine grasslands on the Qinghai-Tibetan Plateau
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PeerJ
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cc-by
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Subjects Biogeography, Ecosystem Science, Climate Change Biology, Environmental Impacts
Keywords Alpine grasslands, Exposure, Sensitivity, Resilience, Vulnerability How to cite this article Li M, Zhang X, He Y, Niu B, Wu J. 2020. Assessment of the vulnerability of alpine grasslands on the Qinghai-
Tibetan Plateau. PeerJ 8:e8513 http://doi.org/10.7717/peerj.8513 Assessment of the vulnerability of alpine
grasslands on the Qinghai-Tibetan Meng Li1,2, Xianzhou Zhang1,3, Yongtao He1,3, Ben Niu1 and Jianshuang Wu4 1 Lhasa National Ecological Research Station, Key Laboratory of Ecosystem Network Observation and
Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences,
Beijing, China 2 University of Chinese Academy of Science, Beijing, China 3 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
4 Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural
Sciences, Beijing, China 3 College of Resources and Environment, University of Chinese Academy of Sciences, INTRODUCTION Assessment of the vulnerability of ecosystems which focuses on the assessment of the
potential effects of perturbations on a specific ecosystem has become a major topic in
the field of global change ecology and sustainability research (Urruty, Tailliez-Lefebvre &
Huyghe, 2016; Xu et al., 2016). It is well recognized that climate change is driving structural
and functional changes in natural ecosystems (Tilman & Lehman, 2001; Venter et al., 2016),
especially in the sensitive and vulnerable alpine and montane ecosystems (Crossman, Bryan Assessment of the vulnerability of ecosystems which focuses on the assessment of the
potential effects of perturbations on a specific ecosystem has become a major topic in
the field of global change ecology and sustainability research (Urruty, Tailliez-Lefebvre &
Huyghe, 2016; Xu et al., 2016). It is well recognized that climate change is driving structural
and functional changes in natural ecosystems (Tilman & Lehman, 2001; Venter et al., 2016),
especially in the sensitive and vulnerable alpine and montane ecosystems (Crossman, Bryan
& Summers, 2012). In the future, increasing climate variability and more frequent and
intense extreme events are likely to increase risks to natural ecosystems (Kharin et al., 2013;
Li et al., 2018). Some studies have confirmed that some species or ecosystems have a high
ability to adapt to climate change, whereas others are suffering negative consequences
(Kozlov, 2008; Neilson et al., 2005). Therefore, identification and prioritization of the
vulnerable areas are crucial to mitigate the threat of climate change to ecosystems and to
achieve sustainable management and adaptive conservation of natural ecosystems. Assessment of vulnerability aims to measure the ability of an ecosystem to resist and cope
with environmental perturbations (Crossman, Bryan & Summers, 2012). A more effective
and accurate vulnerability assessment framework was presented by Intergovernmental
Panel on Climate Change (IPCC), which described the vulnerability as a function of
ecosystem sensitivity and adaptivity to climate change with a different character, magnitude,
and rate (IPCC, 2001). This definition integrates the multiple properties and processes of
ecosystems, including sensitivity, resilience, and exposure, into vulnerability assessment
(Xu et al., 2016). Sensitivity measures the ability of ecosystems to withstand environmental
disturbances, and is quantified by the magnitude of vegetation response at the moment
of the climate anomaly (De Keersmaecker et al., 2015). ABSTRACT Assessing ecosystem vulnerability to climate change is critical for sustainable and
adaptive ecosystem management. Alpine grasslands on the Qinghai-Tibetan Plateau
are considered to be vulnerable to climate change, yet the ecosystem tends to maintain
stability by increasing resilience and decreasing sensitivity. To date, the spatial pattern
of grassland vulnerability to climate change and the mechanisms that vegetation applies
to mitigate the impacts of climate change on grasslands by altering relevant ecosystem
characteristics, especially sensitivity and resilience, remain unknown. In this study,
we first assessed the spatial pattern of grassland vulnerability to climate change by
integrating exposure, sensitivity, and resilience simultaneously, and then identified its
driving forces. The results show that grasslands with high vulnerability were mainly
located on the edges of the plateau, whereas alpine grasslands in the hinterlands of the
plateau showed a low vulnerability. This spatial pattern of alpine grassland vulnerability
was controlled by climatic exposure, and grassland sensitivity and resilience to climate
change might also exacerbate or alleviate the degree of vulnerability. Climate change had
variable impacts on different grassland types. Desert steppes were more vulnerable to
climate change than alpine meadows and alpine steppes because of the high variability
in environmental factors and their low ability to recover from perturbations. Our
findings also confirm that grazing intensity, a quantitative index of the most important
human disturbance on alpine grasslands in this plateau, was significantly correlated
with ecosystem vulnerability. Moderate grazing intensity was of benefit for increasing
grassland resilience and then subsequently reducing grassland vulnerability. Thus,
this study suggests that future assessments of ecosystem vulnerability should not
ignore anthropogenic disturbances, which might benefit environmental protection and
sustainable management of grasslands on the Qinghai-Tibetan Plateau. Submitted 27 September 2019
Accepted 4 January 2020
Published 6 February 2020
Corresponding author
Xianzhou Zhang,
zhangxz@igsnrr.ac.cn
Academic editor
Jianhua Xu
Additional Information and
Declarations can be found on
page 15
DOI 10.7717/peerj.8513
Copyright
2020 Li et al. Distributed under Distributed under
Creative Commons CC-BY 4.0 Distributed under
Creative Commons CC-BY 4.0 OPEN ACCESS How to cite this article Li M, Zhang X, He Y, Niu B, Wu J. 2020. Assessment of the vulnerability of alpine grasslands on the Qinghai-
Tibetan Plateau. PeerJ 8:e8513 http://doi.org/10.7717/peerj.8513 Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 INTRODUCTION Resilience refers to the ability of
ecosystems to recover to its original state after the disturbance, or the magnitude of
absorbed disturbance by the ecosystem before the ecosystem’s structure begins to change
(Holling, 1996; Scheffer et al., 2001). Exposure refers to the degree of climate disturbance
experienced by a species or ecosystem and represents the rate of migration that species
need to follow climate change (Loarie et al., 2009). More recently, various methods have been developed to quantify the vulnerability
of ecosystems, including the comprehensive index method (Nguyen et al., 2016), the
quantitative evaluation model method (Zhao & Wu, 2014), and the scenario analysis
method (Woznicki et al., 2016). However, some shortcomings remain in those methods. For example, although many studies have used the comprehensive index method to assess
the vulnerability, the indicator selection and weight determination of the indices remain
controversial. The quantitative evaluation model method is limited by the complexity
of the dynamic vegetation. Although scenario-based assessment provides an advance in
predicting future ecological vulnerability, it requires large quantities of historical data to
drive the model (Jiang et al., 2018). As a consequence, the assessment of vulnerability is
labor-intensive and may be less accurate. With the development of remote sensing, some
studies have quantified the components of vulnerability, such as sensitivity and resilience,
based on the short-term dynamics of vegetation and climatic factors at regional and Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 2/20 global scales (De Keersmaecker et al., 2015; Li et al., 2018; Li et al., 2019a), which provides a
feasible and efficient method to assess ecosystem vulnerability. Alpine grasslands dominate the Qinghai-Tibetan Plateau, covering 1.28 × 108 hm2 and
accounting for more than 65% of its total land area (Long et al., 1999). These grasslands
are critical for livestock husbandry and environmental security (Yang et al., 2017; Yao et
al., 2012). As a result of the harsh characteristics of high altitude, drought, and cold, alpine
grasslands on the Qinghai-Tibetan Plateau are sensitive and vulnerable to climate change
and human activities (Harris, 2010; Shang et al., 2014). In the past decades, most grasslands
have experienced accelerated warming (Chen et al., 2013; Li et al., 2010). Moreover, the
effects of human disturbances (mainly referring to livestock grazing) on alpine grasslands
have also intensified. INTRODUCTION Currently, under the influences of overgrazing and climate change,
nearly 40% of the grassland has been degraded, resulting in decreases in plant diversity
and productivity of alpine grasslands (Zhang et al., 2015b). Grassland degradation and
even desertification are likely to increase ecosystems vulnerability and seriously threaten
ecological security and regional sustainable development. Assessment of the vulnerability
of alpine grasslands on the Qinghai-Tibetan Plateau is a necessary first step to explore
target measures to eliminate or alleviate negative influences. Although several studies
have explored the effects of climate change on grassland ecosystems (Fu, Shen & Zhang,
2018; Shen et al., 2015), to our knowledge, no studies have illustrated the patterns of the
vulnerability of alpine grasslands on the Qinghai-Tibetan Plateau based on the IPCC
definition of vulnerability. In this study, we first integrated sensitivity, resilience, and exposure to quantify the
vulnerability of alpine grasslands on the Qinghai-Tibetan Plateau according to the IPCC
framework. We then compared the differences in vulnerability among different eco-
geographical regions, grassland types, and grazing intensities. We aimed to (1) identify
where grasslands on the Qinghai-Tibetan Plateau are most vulnerable, and (2) detect what
aspects determine their vulnerability. Overall, we hope this study can assist policymakers
and stakeholders in achieving sustainable and adaptive management of alpine grasslands
in the context of climate change on the Qinghai-Tibetan Plateau. Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 Study area The Qinghai-Tibetan Plateau, known as ‘‘the water tower of Asia’’, is vital to safeguard
ecological security for both China and South Asia (Yao et al., 2012). The plateau is located
in the arid alpine climate zone with an average elevation over 4,000 m above sea level. The annual average temperatures range from −15 ◦C to 10 ◦C (You et al., 2013). The
precipitation distribution in the Qinghai-Tibetan Plateau shows much spatial heterogeneity,
with mean annual precipitation being about 50–150 mm in the northwest and 300–450 mm
in the southeast. From southeast to northwest, grassland types alter from humid alpine
meadow, semi-arid alpine steppe, to arid alpine desert-steppe (Fig. 1A). The Qinghai-
Tibetan Plateau is separated by the Tanggula Mountains into two regions, Qinghai province
and the Tibet Autonomous Region (Fig. 1B). The northern Qinghai-Tibetan Plateau, also Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 3/20 Figure 1
Eco-geographical regions (A) and alpine grassland types (B) on the Qinghai-Tibetan Plateau. IB1, Golog-Nagqu high-cold shrub-meadow zone; ICI, Southern Qinghai high-cold meadow steppe zone;
IC2, Qiangtang high-cold steppe zone; ID1, Kunlun high-cold desert zone; IIAB1, Western Sichuan-
eastern Tibet montane coniferous forest zone; IIC2, Eastern Qinghai-Qilian montane steppe zone; IIC1,
Southern Tibet montane shrub-steppe zone; IID2, Qaidam montane desert zone; OA1, Southern slopes
of Himalaya montane evergreen broad-leaved forest zone; IID1, Nagri montane desert-steppe and desert
zone; IID3, Northern slopes of Kunlun montane desert zone. Full-size
DOI: 10.7717/peerj.8513/fig-1 Figure 1
Eco-geographical regions (A) and alpine grassland types (B) on the Qinghai-Tibetan Plateau. IB1, Golog-Nagqu high-cold shrub-meadow zone; ICI, Southern Qinghai high-cold meadow steppe zone;
IC2, Qiangtang high-cold steppe zone; ID1, Kunlun high-cold desert zone; IIAB1, Western Sichuan-
eastern Tibet montane coniferous forest zone; IIC2, Eastern Qinghai-Qilian montane steppe zone; IIC1,
Southern Tibet montane shrub-steppe zone; IID2, Qaidam montane desert zone; OA1, Southern slopes
of Himalaya montane evergreen broad-leaved forest zone; IID1, Nagri montane desert-steppe and desert
zone; IID3, Northern slopes of Kunlun montane desert zone. Full size
DOI: 10 7717/peerj 8513/fig 1 named ‘‘Changtang’’, contains the largest national nature reserve in China. The Three
Rivers Headwater region contains high biodiversity and a fragile and sensitive ecological
environment, and is the birthplace of China’s three major rivers, the Yangtze River, the
Yellow River and the Lancang River (Shao et al., 2017). The vulnerability of the grassland ecosystem In this study, we quantified the alpine grassland ecosystem vulnerability to climate change
at the regional scale by simultaneously considering sensitivity, resilience, and exposure
(Li et al., 2018). The formula is as follows: VI = ((EI×SI)/(1+RI))1/2 (1) where VI is the vulnerability index, SI is the sensitivity index, RI is the resilience index,
and EI is the exposure index. where VI is the vulnerability index, SI is the sensitivity index, RI is the resilience index,
and EI is the exposure index. In recent years, a novel method was presented by De Keersmaecker et al. (2015) to
simultaneously quantify vegetation sensitivity and resilience under short-time climate
anomalies, which has been successfully used at the regional and global scale (Geng et
al., 2019; Seddon et al., 2016). In this study, we accepted this empirical methodology to
quantify the sensitivity and resilience of alpine grasslands productivity to short-term
climate variability for each pixel on the Qinghai-Tibetan Plateau. This method assumes
that the change of vegetation index is a linear combination of climatic factors and the
changes in vegetation index in the early stage. We took the grassland NDVI anomaly
as the dependent variable and the temperature, precipitation (or water availability),
incoming radiation anomaly and NDVI anomaly history as independent variables to
model the vegetation response to short-term climate anomalies, as the following equation
(autoregressive model, AR1): (2) NDVIt = α×Tt +β×Pt +γ×Rt +δ×NDVIt−1 +ε
(2) NDVIt = α×Tt +β×Pt +γ×Rt +δ×NDVIt−1 +ε where NDVIt is the standardized NDVI anomaly at time t, Tt is the standardized
temperature anomaly at time t, Pt is the standardized precipitation index at time t, Rt
is the standardized radiation index at time t, NDVIt−1 is the standardized NDVI anomaly
at time t−1 and ε is the residual error. α, β, γ, and δ are model coefficients. To ensure the
comparability among the three coefficients, all-time series of NDVI and the three climate
variables were de-trended and then transformed to z-score anomalies using variables’
means and standard deviations. The sensitivity index was quantified with the combination of α, β, and γ. The coefficient
α is the temperature sensitivity metric denoting the response of grassland NDVI to
instantaneous variation in temperature, where a higher α value indicates a higher sensitivity
of grasslands to temperature, and vice versa. Similarly, β and γ represent drought sensitivity
metric and radiation sensitivity metric, respectively. Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 Data collection The normalized difference vegetation index (NDVI) has been widely applied in
regional ecosystem monitoring and evaluation. In this study, we downloaded the
Version 6 NDVI from the monthly MOD13A3 product of the Moderate Resolution
Imaging Spectroradiometer (MODIS), which is at 1 km spatial resolution (https:
//lpdaac.usgs.gov/get_data/data_pool). The monthly NDVI data were developed using
the maximum value composition method, and have been calibrated for geometric effects,
atmospheric effects, and cloud contamination. The NDVI dataset was smoothed and
reconstructed with the Savitzky–Golay method to exclude the effects of cloud, snow, and
ice contamination (Chen et al., 2004). Monthly mean temperature and total precipitation data between 2000 and 2017
were collected from the National Meteorological Information Center (NMIC) of the
China Meteorological Administration (CMA) (http://www.cma.gov.cn/). The origin
meteorological data were interpolated into raster surfaces at the same spatial resolution
as the NDVI data using ANUSPLIN 4.3 (Hutchinson, 2004). ANUSPLIN is a professional
interpolation software in which one or more influence factors can be included as covariates
to improve the interpolation accuracy, especially for time series of meteorological data
(Hutchinson, 2004). Our previous studies have shown the accuracy of interpolation data
(Chen et al., 2014; Li et al., 2019b). Information on the distribution of grasslands was obtained from the vegetation atlas of
China with a scale of 1:1,000,000 (Chinese Academy of Sciences, 2001). Eco-geographical Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 4/20 zones adopt the framework scheme of the China eco-geographic regional system drawn up
by Zheng (1996). zones adopt the framework scheme of the China eco-geographic regional system drawn up
by Zheng (1996). The vulnerability of the grassland ecosystem To calculate the sensitivity metric, we
first quantified the relative contributions of temperature, precipitation, and radiation to
the grassland sensitivity index for each pixel based on a principal component regression
(PCR). Second, the sensitivity scores for each climatic variable were calculated by the ratio
of NDVI variance and each climate variance in time series. Then, the ratios were weighted
using the contribution of each climatic variable to NDVI variation. Finally, the sensitivity
index was calculated by summing the sensitivity scores. More detailed methods and the R
script for calculating the sensitivity index can be found in Seddon et al. (2016). Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 5/20 The coefficient δ is an indication of the similarity between the current state and the
previous state. If δ is large, ecosystem anomalies at time t are strongly dependent on the
anomaly at time t−1, and the ecosystem recovers slowly from any disturbance. Conversely,
ecosystems with smaller δ values tend to recover quickly from any disturbance. As such, δ
can be considered as a resilience metric, with higher absolute δ values representing lower
resilience (De Keersmaecker et al., 2015; Li et al., 2018). Thus, in this study, the resilience
index is equal to 1−δ. The exposure index was defined as the ratio of the temporal climate gradient to the
spatial climate gradient (Loarie et al., 2009). The formula is as follows: Etem = (◦C×year−1)/(◦C×km−1)
(3)
Epre = (mm×year−1)/(mm×km−1)
(4)
Erad = (MJ×year−1)/(MJ×km−1)
(5)
EI = α×Etem +β×Epre +γ×Erad
(6) (6) where α, β, γ, and δ are the coefficients from Eq. (2). The temporal trend from 2000 to
2017 was calculated using least squares regression, and the spatial gradient was calculated
using the average maximum technique based on a 3 × 3 grid cell neighborhood (Burrows
et al., 2011). where α, β, γ, and δ are the coefficients from Eq. (2). The temporal trend from 2000 to
2017 was calculated using least squares regression, and the spatial gradient was calculated
using the average maximum technique based on a 3 × 3 grid cell neighborhood (Burrows
et al., 2011). Sensitivity, resilience, exposure, and vulnerability of grassland ecosystems were
normalized between 0 and 100 using the minimum and maximum values. The vulnerability of the grassland ecosystem To measure the
relative vulnerability and ensure its spatial comparison, we binned grassland areas into
five levels of ecosystem sensitivity, resilience, exposure, and vulnerability, such that each
bin had an equal interval, and labeled these bins as slight (0–20), low (20–40), moderate
(40–60), high (60–80), and extreme (80–100). Grazing intensity The main human activity on the Qinghai-Tibetan Plateau is livestock grazing, the extent
of which was calculated based on the statistical data with the following equation: GI = S/A
(7) (7) GI = S/A where GI represents the index of grazing intensity (GI), S denotes the numbers of livestock
in each county, and A represents the area of available natural grassland in each county (ha). The numbers of livestock were acquired from the yearly ‘‘Statistical Yearbook of Tibet’’
and ‘‘Agricultural Statistics Manual of Qinghai Province’’ from 2000 to 2017. Sheep and
large livestock were included in the original livestock data. In this study, different animals
were standardized into sheep units (SHU) with the criterion that one sheep is equal to
one SHU and one large livestock is equal to four SHU (Fan et al., 2010). The average
grazing intensity from 2000 to 2017 for 78 counties (16 counties in Qinghai province and
62 counties in the Tibet autonomous region) was used to explore the effects of human
activities on the vulnerability index as well as the three components, including sensitivity,
resilience, and exposure. Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 6/20 Figure 2
Spatial patterns of standardized grassland (A) sensitivity index (SI), (B) resilience index (RI),
(C) exposure index (EI), and (D) vulnerability index (VI) on the Qinghai-Tibet Plateau. Full-size
DOI: 10.7717/peerj.8513/fig-2 Figure 2
Spatial patterns of standardized grassland (A) sensitivity index (SI), (B) resilience index (RI),
(C) exposure index (EI), and (D) vulnerability index (VI) on the Qinghai-Tibet Plateau. Full-size
DOI: 10.7717/peerj.8513/fig-2 Statistical analysis We employed the analysis of variance (ANOVA) to analyze the difference of grassland
vulnerability and its components among different eco-geographical regions and also
among different vegetation types. General linear models (GLMs) were conducted to
explore the relative effect strengths of grassland types and grazing intensity to the spatial
patterns of grassland vulnerability and its components. Spatial patterns of grassland vulnerability and its components ulnerable grasslands (60 < VI < 80) and extremely vulnerable grasslands (80 < VI < 100) vulnerable grasslands (60 < VI < 80) and extremely vulnerable grasslands (80 < VI < 100)
together accounted for 32.76% of the total grassland areas, which were mainly distributed
in the eastern and western parts of this plateau. The grasslands with a slight (VI < 20) and
low vulnerability index (20 < VI < 40) accounted for 16.82% and 24.51% of the entire
grassland area on the plateau, respectively, and were mainly distributed in the center of the
plateau. g
(
)
y
g
(
)
together accounted for 32.76% of the total grassland areas, which were mainly distributed
in the eastern and western parts of this plateau. The grasslands with a slight (VI < 20) and
low vulnerability index (20 < VI < 40) accounted for 16.82% and 24.51% of the entire
grassland area on the plateau, respectively, and were mainly distributed in the center of the
plateau. Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 Spatial patterns of grassland vulnerability and its components Spatial patterns of grassland vulnerability and its components
The sensitivity, resilience, exposure, and vulnerability index of alpine grasslands showed
distinct patterns on the Qinghai-Tibetan Plateau (Fig. 2). In terms of the sensitivity index,
most of the alpine grasslands were moderately sensitive to climate change (40 < SI < 60),
which accounted for 67.43% of grassland pixels (Fig. 2A). The extreme sensitivity level (SI
> 80), accounting for only 2.72% of grassland pixels, was mainly distributed in the south
of the plateau. The areas of slight and low sensitivity level were primarily located in the
east of Qinghai province (SI < 20), accounting for 1.45% of the grasslands on the plateau
(Table 1). For the resilience index (Fig. 2B), grasslands with slight resilience (RI < 20)
accounted for 3.63% of grasslands on the whole plateau, and were mainly situated in the
north of the plateau. Moderate (40 < RI < 60) and high resilience index (60 < RI < 80)
areas were scattered across the whole plateau, accounting for 39.92% and 29.29% of the
total grassland area, respectively. The spatial pattern and the proportion among five different levels of the exposure index
were fairly consistent with the vulnerability index (Figs. 2C and 2D, Table 1). Highly Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 7/20 Table 1
Pixel percentage (%) of the standardized sensitivity index (SI), resilience index (RI), exposure
index (EI), and vulnerability index (VI) on the Qinghai-Tibet Plateau. Index
Pixel percentage (%)
Slight
(0–20)
Low
(20–40)
Moderate
(40–60)
High
(60–80)
Extreme
(80–100)
SI
1.45
9.04
67.43
19.37
2.72
RI
3.63
18.94
39.92
29.29
8.21
EI
20.20
28.77
25.64
12.92
12.48
VI
16.82
24.51
25.92
17.05
15.71
vulnerable grasslands (60 < VI < 80) and extremely vulnerable grasslands (80 < VI < 100)
together accounted for 32.76% of the total grassland areas, which were mainly distributed
in the eastern and western parts of this plateau. The grasslands with a slight (VI < 20) and
low vulnerability index (20 < VI < 40) accounted for 16.82% and 24.51% of the entire
grassland area on the plateau, respectively, and were mainly distributed in the center of the
plateau. Table 1
Pixel percentage (%) of the standardized sensitivity index (SI), resilience index (RI), exposure
index (EI), and vulnerability index (VI) on the Qinghai-Tibet Plateau. Grassland vulnerability of different eco-geographical regions
and grassland types Grassland vulnerability of different eco-geographical regions
and grassland types The division of eco-geographical regions took both the characteristics of climatic factors
and vegetation cover information into consideration at the same time. Except for the OA1
region, the remaining ten eco-geographic regions showed an alpine grassland distribution. The sensitivity, resilience, exposure, and vulnerability index within the ten eco-graphical
regions were compared. As shown in Fig. 3, IIAB1 and IIC1 in the humid area of the
eastern Qinghai-Tibetan plateau had the highest sensitivity index, whereas IC1 and IC2 in
the center of the plateau had a relatively low sensitivity index. The resilience index in IIAB1
and IIC1 was higher than that in other eco-geographical regions. The vulnerability index
among the ten eco-geographical regions was similar with the exposure index, but with
some differences. For example, although the lowest exposure index was found in IID3, the
vulnerability index in IID3 was not the lowest because of the higher sensitivity index. This
indicates that the degree of exposure determined the vulnerability of alpine grasslands on
the plateau, but it was also affected by grassland sensitivity and resilience simultaneously. Figure 4 shows the sensitivity, resilience, exposure, and vulnerability index for different
grassland types on the Qinghai-Tibetan plateau. Compared with the other three indexes,
the sensitivity index was less variable among alpine meadow (53.1), alpine steppe (51.8),
and desert steppe (56.3), but with a significant difference (P < 0.05, ANOVA test). The
average resilience index of the alpine meadow (57.7) was relatively higher than desert
steppe (40.7) and alpine steppe (50.6). For the exposure index, desert steppe (49.3) was
significantly higher than that in the alpine steppe (42.4) and alpine meadow (44.7). Desert
steppe also had the highest vulnerability to climate change (63.7), whereas alpine steppe
(47.9) and alpine meadow (47.4) were subject to less vulnerability. Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 8/20 Figure 3
Grassland standardized (A) sensitivity index (SI), (B) resilience index (RI), (C) exposure in-
dex (EI) and (D) vulnerability index (VI) for each eco-geographical region on the Qinghai-Tibetan
Plateau. Bars in the figure represent standard error. Full-size
DOI: 10.7717/peerj.8513/fig-3
Figure 4
Grassland sensitivity index (SI), resilience index (RI), exposure index (EI), and vulnerabil-
ity index (VI) for each grassland type on the Qinghai-Tibetan Plateau. AM, alpine meadow; AS, alpine
steppe; DS, desert steppe. Bars in the figure represent standard error. Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 The effects of grazing intensity on grassland vulnerability g
g
y
g
y
Grazing intensity showed a distinct spatial pattern among counties on the Qinghai-
Tibetan Plateau. Eastern and central counties in Tibet and Qinghai province had higher
grazing intensity (above 1.5 SHU/ha) than western counties (below 0.3 SHU/ha) (Fig. 5). Quantitative analysis was conducted on the grazing intensity and the corresponding
sensitivity index, resilience index, exposure index, and vulnerability index. As shown in
Fig. 6, the index of grazing intensity had a significant impact on the vulnerability of alpine
grasslands as well as the three components (P < 0.05). Specially, we found unimodal
responses of sensitivity index and resilience index to grazing intensity across the counties
(Figs. 6A and 6B). This indicates that grasslands with moderate grazing intensity might
result in high sensitivity and resilience. The response of exposure index to the changes in
grazing intensity was similar to that of the vulnerability index, which shown as a significant
U-shaped pattern in Figs. 6C and 6D. Thus, moderate grazing intensity might play a crucial
role in preventing alpine grasslands from becoming vulnerable. Grassland vulnerability of different eco-geographical regions
and grassland types Full-size
DOI: 10.7717/peerj.8513/fig-4 Figure 3
Grassland standardized (A) sensitivity index (SI), (B) resilience index (RI), (C) exposure in-
dex (EI) and (D) vulnerability index (VI) for each eco-geographical region on the Qinghai-Tibetan
Plateau. Bars in the figure represent standard error. Full-size
DOI: 10.7717/peerj.8513/fig-3 Figure 3
Grassland standardized (A) sensitivity index (SI), (B) resilience index (RI), (C) exposure in-
dex (EI) and (D) vulnerability index (VI) for each eco-geographical region on the Qinghai-Tibetan
Plateau. Bars in the figure represent standard error. Full-size
DOI: 10.7717/peerj.8513/fig-3 Figure 3
Grassland standardized (A) sensitivity index (SI), (B) resilience index (RI), (C) exposure in-
dex (EI) and (D) vulnerability index (VI) for each eco-geographical region on the Qinghai-Tibetan
Plateau. Bars in the figure represent standard error. Full-size
DOI: 10.7717/peerj.8513/fig-3 dex (EI) and (D) vulnerability index (VI) for each eco-geographical region on the Qinghai-Tibetan
Plateau. Bars in the figure represent standard error. Full-size
DOI: 10.7717/peerj.8513/fig-3
Figure 4
Grassland sensitivity index (SI), resilience index (RI), exposure index (EI), and vulnerabil-
ity index (VI) for each grassland type on the Qinghai-Tibetan Plateau. AM, alpine meadow; AS, alpine
steppe; DS, desert steppe. Bars in the figure represent standard error. Full-size
DOI: 10.7717/peerj.8513/fig-4 Figure 4
Grassland sensitivity index (SI), resilience index (RI), exposure index (EI), and vulnerabil-
ity index (VI) for each grassland type on the Qinghai-Tibetan Plateau. AM, alpine meadow; AS, alpine
steppe; DS, desert steppe. Bars in the figure represent standard error. Full-size
DOI: 10.7717/peerj.8513/fig-4 Figure 4
Grassland sensitivity index (SI), resilience index (RI), exposure index (EI), and vulnerabil-
ity index (VI) for each grassland type on the Qinghai-Tibetan Plateau. AM, alpine meadow; AS, alpine
steppe; DS, desert steppe. Bars in the figure represent standard error. Full-size
DOI: 10.7717/peerj.8513/fig-4 Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 9/20 Figure 5
Mean grazing intensity (GI) from 2000 to 2017 for the 78 counties on the Qinghai-Tibet
Plateau. White color counties in Tibetan indicate grassland areas less than 50 km2, and white color
counties in Qinghai indicates null-value due to unavailable data. SHU represent sheep unit. Full-size
DOI: 10.7717/peerj.8513/fig-5 Figure 5
Mean grazing intensity (GI) from 2000 to 2017 for the 78 counties on the Qinghai-Tibet
Plateau. White color counties in Tibetan indicate grassland areas less than 50 km2, and white color
counties in Qinghai indicates null-value due to unavailable data. SHU represent sheep unit. Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 Grassland vulnerability of different eco-geographical regions
and grassland types Full-size
DOI: 10.7717/peerj.8513/fig-5 Figure 5
Mean grazing intensity (GI) from 2000 to 2017 for the 78 counties on the Qinghai-Tibet
Plateau. White color counties in Tibetan indicate grassland areas less than 50 km2, and white color
counties in Qinghai indicates null-value due to unavailable data. SHU represent sheep unit. Full-size
DOI: 10.7717/peerj.8513/fig Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 Notes.
d.f., degree of freedom; SS, sum squares; MS, mean squares; F, variance ratio; P, significance; %SS, percentage of the
total sum of squares explained. DISCUSSION With the increased variability of climate change, it is essential to understand the
vulnerability of ecosystems, especially for high-altitude vegetation which is believed to
be highly sensitive to climate change. Sensitivity, resilience, and exposure are essential
components of vulnerability reflecting the degree of an ecosystem exposure and response
to perturbations (Williams et al., 2008). In this study, the vulnerability of alpine grasslands
on the Qinghai-Tibetan Plateau was calculated based on the combination of external
(exposure) and intrinsic (sensitivity and resilience) components. In the following sections,
we will discuss the spatial pattern of vulnerability and the driving factors for this pattern
in detail. The relative contribution of grassland type and grazing intensity to
the spatial pattern of vulnerability In the GLM analysis, grazing intensity, grassland type, and the interactions between them
could explain 1.46%, 64.20%, 19.42%, and 28.24% of the total variation in sensitivity
index, resilience index, exposure index, and vulnerability index, respectively (Table 2). For
grassland vulnerability, we found that grassland type and grazing intensity accounted for
10.34% and 15.36% of its spatial variation, respectively. This indicates that grazing intensity
had a relatively higher explanatory power than grassland type for the spatial variation in
the vulnerability index. Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 10/20 Figure 6
The relationship between grazing intensity and (A) sensitivity index (SI), (B) resilience index
(RI), (C) exposure index (EI), and (D) vulnerability index (VI). AM, alpine meadow; AS, alpine steppe;
DS, desert steppe. Full-size
DOI: 10.7717/peerj.8513/fig-6 Figure 6
The relationship between grazing intensity and (A) sensitivity index (SI), (B) resilience index
(RI), (C) exposure index (EI), and (D) vulnerability index (VI). AM, alpine meadow; AS, alpine steppe;
DS, desert steppe. Full-size
DOI: 10.7717/peerj.8513/fig-6 Table 2
Summary of the effects of grazing intensity (GI), grassland types (TYPE), and the interactions
between them in general linear models (GLMs) on the sensitivity, resilience, exposure, and vulnerabil-
ity indices on the Qinghai-Tibet Plateau. Table 2
Summary of the effects of grazing intensity (GI), grassland types (TYPE), and the interactions
between them in general linear models (GLMs) on the sensitivity, resilience, exposure, and vulnerabil-
ity indices on the Qinghai-Tibet Plateau. Index
Explicators
d.f. SS
MS
F
P
%SS
GI
1
7.80
7.84
0.13
0.72
0.10
Type
2
77.70
38.87
0.62
0.54
0.98
SI
GI:Type
2
30.60
15.32
0.25
0.78
0.38
GI
1
55.34
55.34
3.77
0.05
1.07
Type
2
2993.90
1496.95
102.08
0.00
58.01
RI
GI:Type
2
264.04
132.02
9.00
0.00
5.12
GI
1
2211.40
2211.44
23.42
0.00
14.98
Type
2
590.20
295.12
3.13
0.05
4.00
EI
GI:Type
2
65.00
32.51
0.34
0.71
0.44
GI
1
2165.50
2165.45
26.97
0.00
15.36
Type
2
1457.50
728.75
9.08
0.00
10.34
VI
GI:Type
2
357.70
178.86
2.23
0.11
2.54
Notes. d.f., degree of freedom; SS, sum squares; MS, mean squares; F, variance ratio; P, significance; %SS, percentage of the
total sum of squares explained. 11/20 Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 The spatial pattern of grassland vulnerability We found that grasslands with a high vulnerability were mainly located on the edges of
the plateau, while grasslands with a low vulnerability were distributed in the hinterlands
of the plateau. The spatial pattern of vulnerability resembles the exposure pattern. The
results indicate that the exposure index was the crucial component in determining the
vulnerability of the grassland ecosystems on the Qinghai-Tibetan Plateau, which is
partially consistent with previous studies. For example, Li et al. (2018) found that the
vulnerability of ecosystems is mainly determined by the degree of exposure. Beaugrand
et al. (2015) also suggested that the influences of exposure to biodiversity were stronger
than those of sensitivity. Exposure is an indicator reflecting the ability of species to
keep pace with the changing climates (Loarie et al., 2009), which highly depends on
the degree of regional climate change that involves the range of species and habitats. Species need a survival environment to be within a particular range for vital growth and
reproduction processes (Burrows et al., 2011). Once environmental variability exceeds the
tipping point that species unable to cope with, the shift of biogeographic ranges may occur
and the ecosystem may become increasingly vulnerable (Beisner, Haydon & Cuddington,
2003). Thus, environmental variability is particularly important for species richness,
community structure, and biodiversity (Chen et al., 2011; Lindner et al., 2010), and thereby
can determine the degree of ecosystem vulnerability. However, some differences between
the spatial pattern of exposure and the spatial pattern of vulnerability also occurred
in some sub-regions. For example, alpine grasslands in the southern Qinghai-Tibetan
Plateau were exposed to low climate variation but with high vulnerability. This may be
because the differences in resilience and sensitivity might result in various responses
of an ecosystem to the same climate change. This result provides evidence to support
the framework that ecosystem vulnerability assessment should integrate sensitivity and
resilience simultaneously. As illustrated above, the effects of climate change on ecosystems were not only
determined by the magnitude and distribution of perturbations but also influenced
by the ability of the target ecosystem to resist perturbations. High ecological sensitivity
is likely to exacerbate ecosystem vulnerability, whereas high ecological resilience is likely
to alleviate ecosystem vulnerability. In this study, we found that vegetation dynamics in
response to climate change varied among grassland types. Earlier studies also have revealed Li et al. The spatial pattern of grassland vulnerability (2020), PeerJ, DOI 10.7717/peerj.8513 that the sensitivity of grasslands on the Qinghai-Tibetan Plateau to the changing climate
change is complex and often varies dramatically among regions and grassland types (Li
et al., 2019a). For example, grasslands on the southeastern Qinghai-Tibetan Plateau are
generally sensitive to temperature variations while northeastern grasslands show strong
responses to precipitation variations (Huang et al., 2016; Sun, Qin & Yang, 2016). With
regard to the differences in ecological sensitivity among three grassland types, we found
that desert steppes were more sensitive to climate change than alpine meadows and alpine
steppes. Our result is in line with previous studies showing that grasslands in drier and
warmer regions are highly sensitive to precipitation (Li et al., 2019a). Li et al. (2019b) also
suggested that desert steppes are likely to have high sensitivity to the timing variability of
precipitation on the Northern Tibetan Plateau. One potential explanation is that desert
steppes are always characterized by poor species and low vegetation productivity due to low
precipitation (Wu, Shen & Zhang, 2014), but with high precipitation variation which can
result in rapid changes in the key carbon cycle process (Knapp et al., 2002). The resilience
metric in our study is a kind of engineering resilience, emphasizing the maintenance of
ecosystem function effectiveness rather than the probability of an ecosystem switching to
another state (De Keersmaecker et al., 2015). This kind of resilience is closely linked with
ecosystem function and plant community composition (Hoover, Knapp & Smith, 2014). Xu et al. (2016) indicated that high productivity and adaptive dominant species might
result in high resilience. Therefore, alpine meadows with higher productivity and larger
species richness pool might have a higher ability to recover from perturbations than alpine
steppes and desert steppes (Wu, Shen & Zhang, 2014; Zhu, Jiang & Zhang, 2016). Besides,
we also found that desert steppes exhibited high sensitivity and low resilience, indicating
that the variations in grassland biomass for desert steppes are higher than alpine meadows
and alpine steppes if the ecosystems experiencing same extrinsic perturbations. Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 Grassland type and grazing intensity affect grassland vulnerability yp
g
g
y
g
y
In the GLM, we found that both grassland types and grazing intensity were significant
in driving the spatial variation of grassland vulnerability. First, the vulnerability differed
dramatically among grassland types. Desert steppes were significantly more vulnerable
than alpine meadows and alpine steppes. The high vulnerability of desert steppes might
result from high sensitivity, high exposure, and low resilience. For the three grassland types
on the Qinghai-Tibetan Plateau, we found that high exposure was always connected with
high sensitivity. This finding is consistent with the previous study, which suggests that
ecosystems with high perturbations are more sensitive to climate change than ecosystems
with low perturbations over short timescales (Kröel-Dulay et al., 2015). Moreover, in this
study, human activities were not considered when calculating the vulnerability index;
however, the alpine grassland’s vulnerability was significantly correlated with grazing
intensity which is considered as the primary human activity. This finding indicates that
anthropogenic disturbances to ecosystems should not be ignored. Grazing is the main
form of land use for most grassland ecosystems, which also affects the vulnerability of
ecosystems to climate change (Christensen et al., 2004; Izaurralde et al., 2011). Multiple
experiments have demonstrated that grazing affects the stability and self-regulating ability Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 13/20 of the ecosystem by changing grasslands’ structure and function, such as grassland
productivity, biodiversity, plant community composition and water-use efficiency
(Wang et al., 2012; Zhang et al., 2015a). These ecosystem changes could result in changes in
the sensitivity (Christensen et al., 2004) and the resilience (Li, 1997) of vegetation to climate
change or even the degree of exposure. In our study, a significant U-shaped relation
was found between grazing intensity and vulnerability index, indicating that moderate
grazing intensity might play a crucial role in mitigating the grassland vulnerability. This
result is in line with the intermediate disturbance hypothesis, which suggests that human
influences in the moderate or middle range can promote community succession and
maintain community structure and species diversity (Grime, 1973), and thereby prevent
ecosystems becoming vulnerable. The interactions of climate change and livestock grazing
play a significant role in shaping grassland functions (Watson et al., 2000). In the future,
more frequent and intense climate changes and more pressures on grasslands for their
resources are expected (Kharin et al., 2013; Venter et al., 2016). Grassland type and grazing intensity affect grassland vulnerability Thus, it is necessary to
investigate interactions between climate change and grazing, to prevent grasslands from
being vulnerable and to maintain sustainable grazing systems. Implications for managers and policymakers More information about climate and human activities changes should be supplied
to policymakers and herdsmen, to develop region-specific policies and sustainable
management strategies. ForthevastgrasslandontheQinghai-Tibetan Plateau,itisnecessary
to use simple ecological indicators that reflect the information about the status and health
of ecosystems to identify the priority areas. We first recommend that policymakers should
pay more attention to western desert steppes because of the high vulnerability resulting
from high exposure, high sensitivity, and low resilience. Once experience strong climatic
perturbations, grasslands in these regions are easy to collapse, and do not easily recover. Optimizing allocation of management, such as monitoring ecological processes and
functioning of grassland ecosystems and curbing overgrazing, is needed to maximize the
grassland resistance and resilience to perturbations. Second, we highlight the necessity
to conduct studies to predict future vulnerability. Predicting how ecosystems respond to
climate change is useful to make adaptation and mitigation strategies to alleviate the effects
of climate change on ecosystems. Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 Competing Interests Competing Interests The authors declare there are no competing interests. Author Contributions • Meng Li conceived and designed the experiments, performed the experiments, analyzed
the data, prepared figures and/or tables, authored or reviewed drafts of the paper, and
approved the final draft. • Xianzhou Zhang conceived and designed the experiments, prepared figures and/or
tables, authored or reviewed drafts of the paper, and approved the final draft. • Yongtao He and Ben Niu analyzed the data, authored or reviewed drafts of the paper,
and approved the final draft. • Jianshuang Wu analyzed the data, authored or reviewed drafts of the paper, and approved
the final draft. Funding This research received joint support from the Ministry of Science and Technology of China
(2016YFC0502001), Chinese Academy of Sciences (XDB03030401), and the Strategic
Priority Research Program of the Chinese Academy of Sciences (XDA19050502). The
funders had no role in study design, data collection and analysis, decision to publish, or
preparation of the manuscript. CONCLUSIONS Climate change is affecting the vulnerability of alpine grasslands on the Qinghai-Tibetan
Plateau. In this study, we quantified the vulnerability of grasslands with the combination of
the sensitivity, resilience, and exposure indices according to the definition by the IPCC. The
vulnerable grasslands were mainly distributed on the sides of the Qinghai-Tibetan Plateau. Exposure was the dominant index for this vulnerability pattern; however, the sensitivity and
resilience of alpine grasslands could also exacerbate or alleviate the degree of vulnerability. Although human activities were not considered in calculating vulnerability, the grazing
intensity had a significant impact on the spatial pattern of grassland vulnerability. We Li et al. (2020), PeerJ, DOI 10.7717/peerj.8513 14/20 therefore suggest that anthropogenic factors should be considered in the assessment of
ecosystem vulnerability in the future. Data Availability The following information was supplied regarding data availability: The raw measurements
are available in a Supplemental File. The following information was supplied regarding data availability: The raw measurements
are available in a Supplemental File. Supplemental Information Supplemental information for this article can be found online at http://dx.doi.org/10.7717/
peerj.8513#supplemental-information. Supplemental information for this article can be found online at http://dx.doi.org/10.7717/
peerj.8513#supplemental-information. Grant Disclosures The following grant information was disclosed by the authors: The following grant information was disclosed by the authors: Ministry of Science and Technology of China: 2016YFC0502001. Ministry of Science and Technology of China: 2016YFC0502001. Chinese Academy of Sciences: XDB03030401. Strategic Priority Research Program of the Chinese Academy of Sciences: XDA19050502. Strategic Priority Research Program of the Chinese Academy of Sciences: XDA19050502. REFERENCES Beaugrand G, Edwards M, Raybaud V, Goberville E, Kirby RR. 2015. Future vulnera-
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Potential Benefits of Bovine Colostrum in Pediatric Nutrition and Health
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Download date: 24. Oct. 2024 Potential benefits of bovine colostrum in pediatric nutrition and health Sangild, Per Torp; Vonderohe, Caitlin; Melendez Hebib, Valeria; Burrin, Douglas G. Published in:
Nutrients
DOI:
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2021 Citation for pulished version (APA):
Sangild, P. T., Vonderohe, C., Melendez Hebib, V., & Burrin, D. G. (2021). Potential benefits of bovine colostrum
in pediatric nutrition and health. Nutrients, 13(8), Article 2551. https://doi.org/10.3390/nu13082551 Go to publication entry in University of Southern Denmark's Research Portal University of Southern Denmark
Potential benefits of bovine colostrum in pediatric nutrition and health
Sangild, Per Torp; Vonderohe, Caitlin; Melendez Hebib, Valeria; Burrin, Douglas G.
Published in:
Nutrients
DOI:
10.3390/nu13082551
Publication date:
2021
Document version:
Final published version
Document license: University of Southern Denmark Citation for pulished version (APA):
Sangild, P. T., Vonderohe, C., Melendez Hebib, V., & Burrin, D. G. (2021). Potential benefits of bovine colostrum
in pediatric nutrition and health. Nutrients, 13(8), Article 2551. https://doi.org/10.3390/nu13082551 Review
Potential Benefits of Bovine Colostrum in Pediatric Nutrition
and Health 1
Comparative Pediatrics & Nutrition, University of Copenhagen, DK-1870 Copenhagen, Denmark;
pts@sund.ku.dk p
2
Department of Neonatology, Rigshospitalet, DK-1870 Copenhagen, Denmark
3
Department of Pediatrics, Odense University Hospital, DK-5000 Odense, Denmark
4
USDA-ARS Children’s Nutrition Research Center, Pediatrics, Gastroenterology & Nutrition, Baylor College of
Medicine, Houston, TX 77030, USA; Caitlin.Vonderohe@bcm.edu (C.V.); Valeria.Melendez@bcm.edu (V.M.H.)
*
Correspondence: doug.burrin@usda.gov; Tel.: +1-713-798-7049 2
Department of Neonatology, Rigshospitalet, DK-1870 Copenhagen, Denmark
3
Department of Pediatrics, Odense University Hospital, DK-5000 Odense, Denmark
4
USDA-ARS Children’s Nutrition Research Center, Pediatrics, Gastroenterology & Nutrition, Baylor College of
Medicine, Houston, TX 77030, USA; Caitlin.Vonderohe@bcm.edu (C.V.); Valeria.Melendez@bcm.edu (V.M.H.)
*
Correspondence: doug.burrin@usda.gov; Tel.: +1-713-798-7049 p
gy,
g
p
,
p
g
,
3
Department of Pediatrics, Odense University Hospital, DK-5000 Odense, Denmark Abstract: Bovine colostrum (BC), the first milk produced from cows after parturition, is increasingly
used as a nutritional supplement to promote gut function and health in other species, including
humans. The high levels of whey and casein proteins, immunoglobulins (Igs), and other milk
bioactives in BC are adapted to meet the needs of newborn calves. However, BC supplementation
may improve health outcomes across other species, especially when immune and gut functions
are immature in early life. We provide a review of BC composition and its effects in infants and
children in health and selected diseases (diarrhea, infection, growth-failure, preterm birth, necrotizing
enterocolitis (NEC), short-bowel syndrome, and mucositis). Human trials and animal studies (mainly
in piglets) are reviewed to assess the scientific evidence of whether BC is a safe and effective
antimicrobial and immunomodulatory nutritional supplement that reduces clinical complications
related to preterm birth, infections, and gut disorders. Studies in infants and animals suggest that BC
should be supplemented at an optimal age, time, and level to be both safe and effective. Exclusive
BC feeding is not recommended for infants because of nutritional imbalances relative to human milk. On the other hand, adverse effects, including allergies and intolerance, appear unlikely when BC is
provided as a supplement within normal nutrition guidelines for infants and children. Larger clinical
trials in infant populations are needed to provide more evidence of health benefits when patients
are supplemented with BC in addition to human milk or formula. Igs and other bioactive factors
in BC may work in synergy, making it critical to preserve bioactivity with gentle processing and
pasteurization methods.
Citation: Sangild, P.T.; Vonderohe, C.;
Melendez Hebib, V.; Burrin, D.G. Potential Benefits of Bovine
Colostrum in Pediatric Nutrition and
Health. Nutrients 2021, 13, 2551. https://doi.org/10.3390/nu13082551 Academic Editors: Raymond Playford
and Isabelle Luron Keywords: preterm infants; human milk; immunoglobulins; necrotizing enterocolitis; diarrhea Publisher’s Note: MDPI stays neutral
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• You may not further distribute the material or use it for any profit-maki at this document breaches copyright please contact us providing details and we will investigate your claim. enquiries to puresupport@bib.sdu.dk If you believe that this document breaches copyright please contact us providing details and we will investigate your claim. Please direct all enquiries to puresupport@bib.sdu.dk If you believe that this document breaches copyright please contact us providing details and we will investigate your claim. Please direct all enquiries to puresupport@bib.sdu.dk Download date: 24. Oct. 2024 nutrients nutrients nutrients nutrients Review
Potential Benefits of Bovine Colostrum in Pediatric Nutrition
and Health BC has the potential to become a safe and effective nutritional supplement
for several pediatric subpopulations.
Citation: Sangild, P.T.; Vonderohe, C.;
Melendez Hebib, V.; Burrin, D.G. Potential Benefits of Bovine
Colostrum in Pediatric Nutrition and
Health. Nutrients 2021, 13, 2551. https://doi.org/10.3390/nu13082551
Academic Editors: Raymond Playford
and Isabelle Luron
Received: 20 May 2021
Accepted: 13 July 2021
Published: 26 July 2021 1. Introduction Colostrum functions as a
nutritional, immunological, and antimicrobial ‘bridge’ between the mostly sterile fetal life,
sustained by the maternal umbilical nutrient supply, and the microbe-rich postnatal envi-
ronment and enteral breast milk intake. Humans and other mammals often share the same
external environment and are exposed to similar microbes, viruses, and fungi along the
outer surfaces of the body (skin, lungs, and gut). Consequently, the antimicrobial activity
of colostrum from one species should also be (at least partly) effective in another species. The ‘perinatal colostrum bridge’ is critical for survival and health for normal newborns in
some mammals (e.g., large farm animals with lacking passive immunity transfer before
birth), while, in others, the colostrum is important, although not essential for survival (e.g.,
term human infants). )
There are similarities in the composition of colostrum and milk among human and
bovine species, but there are also some important differences in both nutrients (carbohy-
drate, protein, lipid, minerals, and vitamins) and immunological factors, including Igs. Cow’s milk has been used as an important source of supplementary nutrition for infants for
centuries in most countries around the world [6]. Beyond the first year of life, other cow’s
milk-based foods, such as milk, yogurt, and cheese, are also considered important sources
of nutrition in children [7,8]. The potential functional and immunological benefits of dairy
products in infants and children, besides nutrition alone, are less clear. In the past decades,
the accumulated evidence of clinical benefits of human milk, either mother’s own breast
milk or banked donor milk, have made human milk the recommended choice for infant
nutrition, especially for preterm infants [9–11]. Evidence from preterm infants has raised
serious concerns that processed formula products based on cow’s milk lead to more NEC,
sepsis (late-onset sepsis, LOS), food intolerance (FI), allergies, and food-protein-induced
enterocolitis syndrome (FPIES) in infants fed formula alone, or in combination with human
milk [11–16]. This has led some clinicians to warn against use of bovine-milk products
for all sensitive hospitalized infants [17]. It is unknown if the apparent adverse effects of
formula products, relative to mother’s own milk, relate to their bovine origin, the indus-
trial processing steps (i.e., serial heat treatment and filtration steps) and/or addition of
vegetable products (i.e., corn-based maltodextrin and vegetable oils), as part of commercial
formula production. 1. Introduction Bovine colostrum (BC) is produced by cows in the first days after parturition and
provides nutrition and immunological protection of highly sensitive newborn calves [1]. The difference between colostrum and milk results from a partially open blood–milk
barrier in the mammary gland around birth [2]. Besides the close link to the mother
in which colostrum is produced, many elements of colostrum may have cross-species
effects and could be used to support and protect newborns and growing offspring of other
species when they are lacking their own mother’s colostrum and/or milk. Here we review
the scientific literature related to composition and biological function of BC in pediatric
nutrition and gastroenterology, and how this is supported by biomedical animal models of
infants and children, most notably the piglet. The topic is timely because there is currently
public and scientific debate about the possible risks and benefits of bovine-based milk 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/). https://www.mdpi.com/journal/nutrients Nutrients 2021, 13, 2551. https://doi.org/10.3390/nu13082551 Nutrients 2021, 13, 2551 2 of 41 products for infants and children when human milk is absent or inadequate, particularly
for preterm infants and other highly sensitive hospitalized pediatric patients. products for infants and children when human milk is absent or inadequate, particularly
for preterm infants and other highly sensitive hospitalized pediatric patients. p
g
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As highlighted in the introductory article of this review series [3], the provision of
mammary secretions in the form of colostrum and mature milk for newborns is an es-
sential survival function that has evolved over millennia in mammal species. In humans,
following the production of colostrum immediately after parturition, the subsequent two
weeks postpartum is a time of secretory activation and increased volume secretion of what
we eventually consider mature milk [4]. Colostrum serves a vital function for neonates
by providing nutrients necessary for energy, growth, and development as they transition
from placental supply of elemental nutrients, such as glucose and amino acids, before
birth, to oral ingestion of more complex macromolecules, including lactose, proteins, and
triglycerides. A second critical function of colostrum and milk after birth is to provide
immune protection that supports elements of neonatal innate immunity until maturation
of adaptive immunity related to the specific environment [5]. 2. Composition and Function of Colostrum in Humans and Animals
2.1. Macronutrients Nutritionally, bovine and human colostrum are similar, but they differ mainly in the
relative concentration of specific macronutrients. A key feature of BC is its high protein
content (~15%) relative to fat (4–6%) and lactose (3 to 4%) [22,23]. The protein and fat
contents are higher than lactose in colostrum, but with advancing lactation, the relative
content of protein and fat declines and lactose increases. Human and bovine early milk or
colostrum contain relatively low amounts of lactose (1.2% and 2–2.9%, respectively), which
increase with lactation to 7.0% and 4.8, respectively [24]. The increasing lactose content
as milk and the offspring mature suggests an immunological and trophic primary role for
colostrum rather than nutritional [4]. The production of lactose increases the movement of
water into the secretory vesicles of the mammary epithelium; therefore, low levels of lactose
in milk result in increased viscosity. The carbohydrate content of colostrum and milk also
comprises oligosaccharides, and these are discussed in more detail in a later section. The
protein content of BC and milk is higher than human colostrum and milk (Figure 1), and
there are select differences in amino acid content [4,25–28]. Proteins in human and bovine
milk are divided into whey and casein fractions, which comprise differing percentages
of the total protein content in mammalian milk across species. In bovine milk, the casein
and whey fraction comprise 80% and 20% of the total protein, respectively [29], whereas,
in human milk, the ratio is whey predominant (40:60) [30]. However, the proteins within
these fractions possess significant homology among species. Among the most widely
studied bioactive proteins in colostrum are Igs, lactoferrin (LF), lysozyme, α-lactalbumin,
and growth factors. Several casein proteins have also been extensively studied mostly for
their role in transporting calcium phosphate and promoting the bioavailability of other
milk proteins [31]. p
The nutritional value of milk proteins in colostrum is a function of the amino acid
composition and digestion kinetics through the stomach and upper intestine [32]. Casein
proteins form a clot in the stomach that slows release of amino acids for digestion and
absorption into the circulation. In contrast, whey proteins are more soluble, in the stomach
and empty rapidly into the small intestine for digestion and absorption. These differences
between casein and whey protein digestion kinetics have been characterized as the slow vs. 1. Introduction Whether risk factors for infants differ between term and preterm
infants, between bovine products and products from other mammals (donkeys, camels,
and goats), and between milk and colostrum is unknown. The possible risks of feeding
infants BC are discussed later in this review. Powdered products containing intact BC, or fractions thereof, have become increas-
ingly available as health foods and their use as nutritional supplements to support gut
health for children and adolescents is increasing. Additionally, their utility for newborn
infants with limited access to mother’s own milk is currently being investigated. There
is considerable speculation about benefits in the marketing of BC products and our goal
is to provide a review of the scientific evidence that is used to support these claims. This
review highlights the use BC in pediatrics and neonatology, including its use for both as a Nutrients 2021, 13, 2551 3 of 41 3 of 41 nutritional and as a preventive or therapeutic supplement for severe pediatric diseases,
such as diarrhea, NEC, inflammatory bowel disease (IBD), short-bowel syndrome, and
chemotherapy-induced mucositis. Both clinical studies and animal model studies are
reviewed and discussed. For detailed insights into BC constituents and applications in
adults, readers are referred to other reviews [18–21] and the companion articles in the
present review series in Nutrients [3], covering a wide range of possible applications of
BC for humans, including gastrointestinal (GI) diseases, immune dysfunctions, and sports
medicine. 2. Composition and Function of Colostrum in Humans and Animals
2.1. Macronutrients Human milk and colostrum is rich in α-lactalbumin, LF, and
Figure 1. Composition of protein and oligosaccharides in human and bovine colostrum and milk. The figure illustrates the marked differences in total protein content and specific proteins, such
as α-lactalbumin, β-lactoglobulin, and casein, between human and bovine colostrum and milk. gure 1 Composition of protein and oligosaccharides in human and bovine colostrum and milk The figure illustrates
Figure 1. Composition of protein and oligosaccharides in human and bovine colostrum and milk. gure 1. Composition of protein and oligosaccharides in human and bovine colostrum and milk. The figure illustrates
k d diff
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i
Figure 1. Composition of protein and oligosaccharides in human and bovine colostrum and milk. The figure illustrates the marked differences in total protein content and specific proteins such ure 1. Composition of protein and oligosaccharides in human and bovine colostrum and milk. The figure illustrates
marked differences in total protein content and specific proteins, such as α-lactalbumin, β-lactoglobulin, and casein,
ween human and bovine colostrum and milk. Human milk and colostrum is rich in α-lactalbumin, LF, and
gosaccharides, relative to bovine milk and colostrum. Conversely, bovine colostrum and milk is rich in casein, β-
toglobulin, and immunoglobulin G, relative to the human counterparts. All components are expressed as g/L. The nutritional value of milk proteins in colostrum is a function of the amino
The figure illustrates the marked differences in total protein content and specific proteins, such
as α-lactalbumin, β-lactoglobulin, and casein, between human and bovine colostrum and milk. Human milk and colostrum is rich in α-lactalbumin, LF, and oligosaccharides, relative to bovine
milk and colostrum. Conversely, bovine colostrum and milk is rich in casein, β-lactoglobulin, and
immunoglobulin G, relative to the human counterparts. All components are expressed as g/L. composition and digestion kinetics through the stomach and upper intestine [32]. Ca
proteins form a clot in the stomach that slows release of amino acids for digestion
absorption into the circulation. In contrast, whey proteins are more soluble, in the stom
and empty rapidly into the small intestine for digestion and absorption. These differe
between casein and whey protein digestion kinetics have been characterized as the s
vs. 2. Composition and Function of Colostrum in Humans and Animals
2.1. Macronutrients fast protein metabolism concept [33] and has relevance for gut motility
metabolism when bovine milk or colostrum products are used for pediatric pati
Susceptibility to gut proteolysis also varies among these proteins, where whey prot
have globular structures that are resistant to proteases, increasing their functi
bioactivity throughout the GI tract. The susceptibility of these proteins to GI proteas
also influenced by age; preterm infants have immature gastric acid production
proteolytic digestive capacity. In preterm infants fed breast milk, both of these factors
to increased survival of intact immunologically important proteins in the intestinal lum
This latter point suggests that, in term, and especially preterm infants, colostral prot
function not only as a source of amino acids for growth, but also as a source of
immune protection in the gut. Differences in amino acid availability between human
Few studies have tested the possible nutritional benefits of intact BC or fractions
thereof in sensitive newborn infants or as prevention or therapy of severe pediatric diseases
(see later sections). To understand the potential and limitations of using BC for such condi-
tions beyond the nutritional value of its constituents, it is relevant to briefly review some
examples of the numerous components in BC that could play a specific role in pediatric
patients. These components can broadly be categorized as having nutritional, growth-
stimulating, antimicrobial, and/or antimicrobial effects (Figure 2). A comprehensive review
of all the possible bioactive components of BC is presented in the introductory article of
this series [3], supplemented with many previous reviews on bioactive constituents in
bovine and humane milk with potential effects in infants [36–38]. Here, we review five
classes of bioactive components relevant to BC in the context of pediatric use: (1) Igs, (2) LF,
lysozyme, and α-lactalbumin, (3) milk fat globule membrane proteins, (4) oligosaccharides,
and (5) microRNA and stem cells (Figure 2). 2. Composition and Function of Colostrum in Humans and Animals
2.1. Macronutrients fast protein metabolism concept [33] and has relevance for gut motility and metabolism
when bovine milk or colostrum products are used for pediatric patients. Susceptibility
to gut proteolysis also varies among these proteins, where whey proteins have globular
structures that are resistant to proteases, increasing their functional bioactivity throughout
the GI tract. The susceptibility of these proteins to GI proteases is also influenced by age;
preterm infants have immature gastric acid production and proteolytic digestive capacity. In preterm infants fed breast milk, both of these factors lead to increased survival of intact
immunologically important proteins in the intestinal lumen. This latter point suggests that,
in term, and especially preterm infants, colostral proteins function not only as a source
of amino acids for growth, but also as a source of vital immune protection in the gut. Differences in amino acid availability between human milk and bovine-milk-based infant
formulas may induce different plasma amino acid profiles, but also processing effects may
affect digestion kinetics, as shown in vitro or in vivo piglet studies [34,35]. 4 of 41
4 Nutrients 2021, 13, 2551 Figure 1. Composition of protein and oligosaccharides in human and bovine colostrum and milk. The figure illustrate
the marked differences in total protein content and specific proteins, such as α-lactalbumin, β-lactoglobulin, and casein
between human and bovine colostrum and milk. Human milk and colostrum is rich in α-lactalbumin, LF, and
oligosaccharides, relative to bovine milk and colostrum. Conversely, bovine colostrum and milk is rich in casein, β
actoglobulin, and immunoglobulin G, relative to the human counterparts. All components are expressed as g/L. The nutritional value of milk proteins in colostrum is a function of the amino
Figure 1. Composition of protein and oligosaccharides in human and bovine colostrum and milk. The figure illustrates the marked differences in total protein content and specific proteins, such
as α-lactalbumin, β-lactoglobulin, and casein, between human and bovine colostrum and milk. Human milk and colostrum is rich in α-lactalbumin, LF, and oligosaccharides, relative to bovine
milk and colostrum. Conversely, bovine colostrum and milk is rich in casein, β-lactoglobulin, and
immunoglobulin G, relative to the human counterparts. All components are expressed as g/L. gure 1. Composition of protein and oligosaccharides in human and bovine colostrum and milk. The figure illustrates
e marked differences in total protein content and specific proteins, such as α-lactalbumin, β-lactoglobulin, and casein,
tween human and bovine colostrum and milk. and
but
2.2. Immunoglobulins Here, we review five classes of bioactive components relevant to BC in the context of
ediatric use: (1) Igs, (2) LF, lysozyme, and α-lactalbumin, (3) milk fat globule membrane
roteins, (4) oligosaccharides, and (5) microRNA and stem cells (Figure 2). Figure 2. Nutritional and bioactive components present in bovine colostrum. The figure shows some of the key biological
functions of bovine colostrum components related to their partially overlapping nutritional, immunomodulatory,
antimicrobial, and cell-growth functions. (Created with BioRender.com; accessed on 7 June 2021). Figure 2. Nutritional and bioactive components present in bovine colostrum. The figure shows some of the key biolog-
ical functions of bovine colostrum components related to their partially overlapping nutritional, immunomodulatory,
antimicrobial, and cell-growth functions. (Created with BioRender.com; accessed on 7 June 2021). gure 2. Nutritional and bioactive components present in bovine colostrum. The figure shows some of the key biological
unctions of bovine colostrum components related to their partially overlapping nutritional, immunomodulatory,
ntimicrobial and cell-growth functions (Created with BioRender com; accessed on 7 June 2021)
Figure 2. Nutritional and bioactive components present in bovine colostrum. The figure shows some of the key biolog-
ical functions of bovine colostrum components related to their partially overlapping nutritional, immunomodulatory,
antimicrobial, and cell-growth functions. (Created with BioRender.com; accessed on 7 June 2021). igure 2. Nutritional and bioactive components present in bovine colostrum. The figure shows some of the key biological
unctions of bovine colostrum components related to their partially overlapping nutritional, immunomodulatory,
ntimicrobial and cell-growth functions (Created with BioRender com; accessed on 7 June 2021)
Figure 2. Nutritional and bioactive components present in bovine colostrum. The figure shows some of the key biolog-
ical functions of bovine colostrum components related to their partially overlapping nutritional, immunomodulatory,
antimicrobial, and cell-growth functions. (Created with BioRender.com; accessed on 7 June 2021). .2. Immunoglobulins
The composition of immune components, such as Igs, LF, and growth factors, is
ignificantly higher in colostrum of most species than in mature milk [4,19,22,39]. Most of
hese components are well conserved in bovine, porcine, and human milk. Colostral Igs
i
id
i
i
i hi
h
i
l
i i
i
b
d
The species-specific necessity for survival and immune protection of newborn mam-
mals depends on whether there is prenatal transfer of maternal Igs (mainly immunoglobu-
lin G, IgG) across the placenta, and/or postnatal transfer across the mucosa of the small
intestine (Figure 3). and
but
2.2. Immunoglobulins p
g
y
g
p
studies [34,35]. Few studies have tested the possible nutritional benefits of intact BC or fract
thereof in sensitive newborn infants or as prevention or therapy of severe pedi
The composition of immune components, such as Igs, LF, and growth factors, is sig-
nificantly higher in colostrum of most species than in mature milk [4,19,22,39]. Most of
these components are well conserved in bovine, porcine, and human milk. Colostral Igs
function to provide immune protection within the gut against colonizing microbes and
environmental toxins. In many species, they are also the primary transfer of passive immu-
nity. Igs represent a major fraction of colostral protein and the main immune components,
including the isotypes IgG, IgA, IgM, and IgD and their subclasses (IgG1–4 and IgA1–2). There are important differences in the relative composition of these isotypes in human,
bovine, and porcine colostrum. Human colostrum is IgA dominant, whereas bovine and
porcine colostrum are IgG dominant. IgA occurs as a monomer or dimer, with the latter
comprising two IgA molecules joined together by a J-chain and a secretory component. 5 of 41
for 5 of 41
for Nutrients 2021, 13, 2551 This complex is called secretory IgA (sIgA). In humans, sIgA represents 90% of total im-
munoglobulin compared with BC, where IgA is only 10% of total Ig. The glycosylation of
both the Fc and Fab regions of sIgA play a key role in its protein structure, stability in the
gut lumen, and especially its capacity to bind bacterial and host mucosal epitopes [40]. BC
and milk contain IgG1 and IgG2, where IgG1 is the main isotype, comprising 70–80% of the
immunoglobulin fraction in colostrum. IgG is secreted as a monomer composed of four
peptide chains. The concentration of IgG in BC typically ranges from 50 to 100 mg/mL,
whereas, in bovine serum, the proportions of IgG1 and IgG2 are relatively equal, and at
lower total concentration (~20 mg/mL). n pediatric patients. These components can broadly be categorized as having nutritional,
rowth-stimulating,
antimicrobial,
and/or
antimicrobial
effects
(Figure
2). A
omprehensive review of all the possible bioactive components of BC is presented in the
ntroductory article of this series [3], supplemented with many previous reviews on
ioactive constituents in bovine and humane milk with potential effects in infants [36–38]. and
but
2.2. Immunoglobulins Moreover
studies in preterm infants also show increased serum and urinar
This may explain why sIgA is the dominant immunoglobulin in colostrum in humans,
compared with IgG in domestic animal species. However, in infants born premature, there
is incomplete placental IgG transfer and passive immunity that are proportional to the
degree of prematurity [45]. Moreover, studies in preterm infants also show increased serum and urinar
concentrations of milk proteins, such as sIgA, LF, and α-lactalbumin, compared with term
and formula-fed infants [46–48]. This suggests that the immature intestine in preterm
infants may be more permeable to absorption of macromolecules, such as Igs, in colostrum
and mature milk. On the other hand, this increase in intestinal permeability due t
immature structural integrity is biologically very different from the highly specialize
Moreover, studies in preterm infants also show increased serum and urinary concen-
trations of milk proteins, such as sIgA, LF, and α-lactalbumin, compared with term and
formula-fed infants [46–48]. This suggests that the immature intestine in preterm infants
may be more permeable to absorption of macromolecules, such as Igs, in colostrum and
mature milk. On the other hand, this increase in intestinal permeability due to immature
structural integrity is biologically very different from the highly specialized function of
enterocytes in some newborn animals to absorb large molecules by endocytosis with or
without involvement of specific (Fc) receptors. p
p
In contrast to infants, large domestic animals (e.g., cattle, pigs, horses, and sheep) lack
maternal–placental transfer of Igs and depend almost exclusively on postnatal transfer of
maternal IgG via colostrum intake and macromolecule uptake in the newborn gut [49–52]. Once absorbed into the blood, Igs have relatively slow turnover, and they have a half-life
of about 2 weeks [42]. Regardless of species, IgG and sIgA in colostrum serve as a vital first
line of defense to neutralize and kill pathogenic microbes in the gut lumen and modulate
mucosal immune function to limit inflammation in newborns [19,51]. The capacity for intestinal absorption of colostral immunoglobulin to provide systemic
immunity is well established in pigs and calves (see Figure 3). This process occurs via
a non-specific endocytotic process, together with active transport via Fc receptors in the
mucosal epithelium [53,54]. Importantly, these studies demonstrate the capacity of porcine
Fc receptors to transport bovine IgG in cell culture and in vivo. and
but
2.2. Immunoglobulins In humans, passive transfer of immunoglobulin occurs largely through
prenatal IgG1 transfer, mainly in the last trimester of pregnancy 6 of 41
ulin occur
y Nutrients 2021, 13, 2551 Figure 3. Comparison of maternal immunoglobulin transfer to newborn infants and calves/piglets. The figure illustrates
the species differences in the time and mode of maternal immunoglobulin isotype (IgG and IgA) transfer via fetal placental
transfer in utero and/or postnatal consumption of colostrum and milk after birth [28,41–44]. The shaded box shows how
premature birth may lead to incomplete maternal fetal–placental transfer of IgG in human infants (created with
BioRender.com; accessed on 19 May 2021) [43]. Figure 3. Comparison of maternal immunoglobulin transfer to newborn infants and calves/piglets. The figure illustrates the species differences in the time and mode of maternal immunoglobulin
isotype (IgG and IgA) transfer via fetal placental transfer in utero and/or postnatal consumption of
colostrum and milk after birth [28,41–44]. The shaded box shows how premature birth may lead to
incomplete maternal fetal–placental transfer of IgG in human infants (created with BioRender.com;
accessed on 19 May 2021) [43]. Figure 3. Comparison of maternal immunoglobulin transfer to newborn infants and calves/piglets. The figure illustrates
the species differences in the time and mode of maternal immunoglobulin isotype (IgG and IgA) transfer via fetal placental
transfer in utero and/or postnatal consumption of colostrum and milk after birth [28,41–44]. The shaded box shows how
premature birth may lead to incomplete maternal fetal–placental transfer of IgG in human infants (created with
BioRender.com; accessed on 19 May 2021) [43]. Figure 3. Comparison of maternal immunoglobulin transfer to newborn infants and calves/piglets. The figure illustrates the species differences in the time and mode of maternal immunoglobulin
isotype (IgG and IgA) transfer via fetal placental transfer in utero and/or postnatal consumption of
colostrum and milk after birth [28,41–44]. The shaded box shows how premature birth may lead to
incomplete maternal fetal–placental transfer of IgG in human infants (created with BioRender.com;
accessed on 19 May 2021) [43]. This may explain why sIgA is the dominant immunoglobulin in colostrum i
humans, compared with IgG in domestic animal species. However, in infants bor
premature, there is incomplete placental IgG transfer and passive immunity that ar
proportional to the degree of prematurity [45]. and
but
2.2. Immunoglobulins This confirms previous
studies showing absorption of bovine IgG in neonatal piglets, albeit at lower rates than
porcine IgG [55]. The Fc receptor is expressed in human fetal and neonatal intestine and
has been shown to be important for bidirectional transport of IgG across the intestinal
epithelium to neighboring dendritic cells for coordination of immune responses to luminal
bacteria [56–58]. An important consideration regarding the use of BC in humans is whether the IgG
present in BC is specific for microbial pathogens present in humans. Considerable evi-
dence shows that bovine IgG can bind to a wide range of pathogenic bacteria, viruses 7 of 41 Nutrients 2021, 13, 2551 7 of 41 and allergens found in humans [19]. Furthermore, the specificity of bovine and human
sIgA isolated from milk is shown to be similar for various pathogenic and commensal
bacteria [59]. Thus, the antimicrobial actions of BC products are not restricted to pathogens
only present in calves but would likely have effects across a range of microbes in different
mammalian species. The situation may be different when it comes to BC interactions
with host cells, including the various immune cells and the cells transporting IgG. The
fact that BC is able to provide immune protection in piglets, both locally in the gut and
systemically via absorbed IgG, suggests that basic functions and transport processes are
not species-specific [51,60]. Bovine IgG can also bind to the human Fc receptor with higher
affinity than human IgG [61]. The specificity of BC IgG for pathogens mainly present in
humans can be optimized by pathogen-specific vaccination of cows prior to collection of
milk during lactation to produce ‘hyper-immune colostrum’ [20,62], as discussed further
below. The applicability of bovine IgG as a medical supplement has also been developed
by using serum-derived bovine immunoglobulin (SBI) that is enriched with >50% IgG. These SBI preparations have been shown to have anti-inflammatory actions on human
intestinal epithelial and monocyte cell lines [63]. A few randomized controlled trials in
patients with human-immunodeficiency-virus enteropathy and irritable-bowel-syndrome
diarrhea, including children, given oral SBI supplements, reported no serious adverse
events and modest improvements in GI symptoms [64–68]. In conclusion, the antimicro-
bial and immunological effects of bovine colostral IgG and IgA are likely to act in both
species-specific and species-unspecific ways, depending on the microbe in question and
specific host-cell function. 2.3. Lactoferrin, Lysozyme, and α-Lactalbumin Additionally,
LF’s ability to interact with lipopolysaccharides (LPS) on Gram-negative bacterial cell
membrane and compete with LPS for the binding of CD14, a co-receptor for toll-like Nutrients 2021, 13, 2551 8 of 41 8 of 41 receptor 4 signaling [78], suggest that it can potentially regulate the host immune response
to colonizing microbes. This is particularly interesting given that the pathogenesis of
NEC is associated with the premature infant’s response to Gram-negative bacteria through
TLR-4 [79]. Studies attempting to confirm the effect of LF on host immune responses
to commensal bacteria revealed that splenic and mesenteric lymph-node-derived cells
from piglets fed bLF presented an anti-inflammatory cytokine profile before and after
ex vivo stimulation with LPS [80]. However, studies in preterm pigs also suggested that
the NEC-preventive effects of bLF might be dose-dependent and that high doses of bLF
could negatively affect immature epithelial cells via metabolic, apoptotic and inflammatory
pathways [81,82]. Collectively, the findings suggest that bLF may function to prevent
aberrant inflammatory responses in the intestinal epithelium of newborns. y
p
p
Lysozyme, although known to be widely distributed in bodily fluids and present
in high concentrations in human breast milk (200–400 µg/mL), is present at a signifi-
cantly lower concentration in bovine milk (0.05–0.22 µg/mL). Alpha-lactalbumin exists
in concentrations ranging from 1.2 to 1.5 mg/mL in bovine milk, has a primary role in
the mammary lactose synthesis, and is a source of bioactive peptides and amino acids
that support infant growth [83]. Alpha-lactalbumin also is thought to play a role in the
development of the infant intestine and brain because of its unique amino acid composition,
including tryptophan, lysine, branched-chain amino acids, and sulfur-containing amino
acids [84]. Partly replacing the high amounts of β-lactoglobulin in bovine milk with more
α-lactalbumin makes the amino acid composition of bovine milk products more similar
to that of human milk. However, a recent study in preterm pigs failed to show effects
of α-lactalbumin enrichment to a milk diet on growth, gut, immunity, and brain devel-
opment [85]. Thus, the specific role of BC-derived α-lactalbumin in infant development
remains to be elucidated, highlighting the need for further research. Among the rest of the
whey fraction components in BC and milk, growth factors are important constituents as
possible bioactive components (Figure 2). 2.3. Lactoferrin, Lysozyme, and α-Lactalbumin LF is an iron-binding glycoprotein found in many biological secretions but reaches
particularly high concentrations in milk. In human colostrum, LF concentration ranges
from 5 to 6 mg/mL and decreases to 1 mg/mL in mature milk [69]. In BC, the concentration
of LF can range from 1.5 to 5 mg/mL, decreasing to 0.02–0.35 mg/mL in mature cow’s
milk [70]. Milk LF has numerous biological functions that range from antioxidant to
antitumor and antimicrobial properties. The cellular actions exerted by LF are mediated
by the LF receptor (LFR) found in the brush border of the intestinal cell membrane with
a sustained abundance in the jejunum throughout the first months of life, as seen in
the piglet intestine [71]. After binding to the LFR, LF can be translocated into the cell
nucleus and regulate gene transcription, resulting in increased cellular proliferation in the
intestine [72]. Beyond its implications in intestinal development, LF’s ability to sequester
iron, a necessary source of nutrition for commensal and pathogenic bacteria, contributes to
its antimicrobial activity. The homology of the human and bovine LF (bLF) amino acid sequences (69% shared
amino sequence identity) [73] and the affordability of bLF have made it the most studied LF
in both human and animal trials. Several human studies have tested its ability to prevent
inflammatory diseases in premature infants, such as NEC and LOS [74]. Randomized
controlled trials in preterm infants demonstrated that supplementing infant diet daily with
100 mg/kg/body weight (bw) of bLF (n = 472 infants) or 150 mg/kg/bw of recombinant
human LF (n = 120 infants) protects against NEC and LOS [75]. In contrast, the largest trial
(n = 2203 infants) of LF in preterm infants (150 mg/kg/day) failed to show any protection
against either NEC or LOS [74,76]. These studies formed the basis for recommendations
from a Cochrane meta-analysis that included 12 RCTs and 5425 participants given LF
supplementation added to enteral feeds in preterm infants. This report found low-certainty
evidence that LF supplementation of enteral feeds decreases LOS, but not NEC [77]. pp
The mechanisms through which bLF may protect against LOS and NEC have been
investigated in premature piglets. Using a porcine intestinal epithelial cell line, bLF exerted
dose-dependent of anti-inflammatory effects on the cells in culture [75]. 2.3. Lactoferrin, Lysozyme, and α-Lactalbumin Many of these growth factors, such as EGF and
IGF-1, have been investigated for their isolated roles on gut growth or to prevent disease
in infants, children and adults [21,36]. However, these results have been mixed and not
been uniformly positive, and only a few of the known bovine milk or colostrum-derived
bioactive proteins have been developed for therapeutic use in infants and children. 2.4. Milk Fat Globule Membranes Milk fat globule (MFG) is a lipid droplet containing triacylglycerols (TAG) that buds
from the endoplasmic reticulum into the cytoplasm of mammary gland alveolar epithelial
cells [86]. These cytoplasmic lipid droplets are secreted from alveolar epithelial cells by
fusing with the plasma membrane, acquiring a peripheral bilayer made of lipids and
proteins referred to as the milk fat globule membrane (MFGM). This membrane contains a
wide variety of bioactive molecules, such as amphipathic lipids, cerebrosides, gangliosides,
mucins, lactadherin, butyrophilin, and glycosylated proteins [87], many of which have
been found to have antimicrobial, anti-inflammatory, and anticarcinogenic activities [88]. The contents of MFGM, are highly influenced by environmental factors, as well as lactation
and gestation period, maternal genetics, body composition, and diet [86]. Importantly,
even though 98% of the milk fat is contained within the MFG, the MFGM constitutes only
a minor fraction (1–4%) of the protein content [89] and of total fat (0.2–1%) [88] in human
milk (HM) and bovine milk (BM). Bovine and human MFGM have significant structural
and functional homology; both are mainly composed of polar lipids that are present in
very similar amounts in both species [86,88]. The major groups of lipids building up the
MFGM are phospholipids, mainly glycerophospholipids that include phosphatidylcholine
(25.2% in HM and 35–36% in BM of total phospholipids), phosphatidylethanolamine
(28% in HM and 27–30% in BM), phosphatidylinositol (4.6% in HM and 5–11% in BM),
phosphatidylserine (5.9% in HM and 3% in BM), and sphingolipids, which are mainly
represented by sphingomyelin (35.7% in HM and 25% in BM). In the same way, the MFGM
proteome is highly homologous, and it is composed mainly of adipophilin, butyrophilin, Nutrients 2021, 13, 2551 9 of 41 9 of 41 mucin 1, xanthine dehydrogenase/oxidase, mucins, lactadherin, and fatty acid-binding
protein, some of which are present in higher amounts in bovine MFGM. mucin 1, xanthine dehydrogenase/oxidase, mucins, lactadherin, and fatty acid-binding
protein, some of which are present in higher amounts in bovine MFGM. MFGM has been isolated successfully from dairy products, such as BC and cow’s
milk, for supplementation in infant formula. The functional role of MFGM has been
studied by supplementing milk and formula with MFGM-enriched protein fraction and
it is suggested that MFGM protects against infections and modestly impacts the fecal
microbiota [90]. Studies performed with premature infants have shown that consumption
of sphingomyelin-fortified milk is beneficial for neurobehavioral development [91]. 2.4. Milk Fat Globule Membranes An
MFGM-enriched formula diet may improve lipid absorption, availability of essential fatty
acids, and therefore neurodevelopment. However, a recent study in preterm pigs failed
to show immediate effects of MFGM on the developing brain [92]. Other sphingolipids,
such as gangliosides, have also been reported to play critical roles in neurodevelopment
and the implications of their dietary consumption have been thoroughly discussed in other
reviews [93,94]. Aside from the neurological implications, the digestion of sphingomyelin
to sphingosine-1-phosphate (S1P) has been associated with the improvement of intestinal
barrier function in vitro by increasing the production and localization of E-cadherin to
cell–cell borders [95]. The bioactivity of the MFGM proteome ranges from the antimicrobial effects of mucin
and xanthine oxidase to the anticancer effects of proteins such as fatty acid binding protein
(FABP) [96,97]. Mucins and xanthine oxidases can act as decoy receptors for pathogens
in the GI tract, therefore preventing direct bacterial interaction with the epithelium. Ad-
ditionally, xanthine oxidase’s antimicrobial effects also stem from its ability to generate
reactive oxygen and nitrogen species which have bactericidal effects. Other studies have
highlighted the benefits of bovine MFGM or MFGM-derived proteins and lipids by demon-
strating that MFGM-supplemented formula fed to neonatal rodents improves intestinal
growth, Paneth and goblet cell numbers, and tight junction protein patterns to be compara-
ble to those seen in rat pups fed with mother’s milk [98]. In formula-fed infants, bovine
MFGM supplementation reduced the levels of Moraxella catarrhalis, the leading cause of
otitis media in children [99]. Although further studies on the effects of MFGM bioactive
components on the health of the human infants are needed, the available literature suggest
that BC-derived MFGM may indeed play an important role in infant development. 2.5. Oligosaccharides Beyond their capacity to drive the colonization of ‘beneficial’ bacterial species in the
colon, human and bovine colostrum and milk oligosaccharides may act as competitive
inhibitors for pathogenic bacteria binding on the mucosal surface of the small intestine
and colon, protecting the neonate from infection [102]. Human milk oligosaccharides
(HMOs) have demonstrated anti-infective capabilities against a wide variety of pathogens
such as H. pylori, M. meningitides, and influenza virus in various models [113]. Lane
et al. showed that incubation of human epithelial cells with oligosaccharides found in BC
reduced the internalization and growth of the devastating diarrheal agent C. jejuni [113]. Incubating human colonocytes with the dominant oligosaccharide in BC reduced adhesion
of enteropathogenic E. coli by 50% [114]. Bovine and human milk oligosaccharides (HMO and BMO) have additional im-
munomodulatory effects on the GI tract itself, beyond their efficacy as prebiotics and
pathogen binding agents. When HMO and BMOs are incubated with human epithelial
cells, these cells show increased expression of cell surface receptors, chemokines and
cytokines, indicating the potential for HMO and BMOs to improve the maturation of
the cytokine response in neonates [115]. Ex vivo treatment of cultured peripheral blood
mononuclear cells isolated from neonatal piglets with HMOs increased proliferative and
anti-inflammatory activity, indicating potential direct immunomodulatory effects of HMO
and BMO supplementation on the enteric immune system [116]. Studies in neonatal pigs
challenged with rotavirus showed that feeding formula supplemented with HMOs or mix-
tures of prebiotic oligosaccharides reduced the duration of diarrhea and enhanced T-helper
type 1 interferon-gamma and IL-10 cytokines in the ileum [117]. HMO-fed pigs have twice
as many natural killer (NK) cells, 36% more mesenteric lymph node effector memory T cells
suggesting improved mucosal immune function [118]. Additional work supplementing
purified oligosaccharides to neonatal calves receiving heat-treated colostrum demonstrated
that oligosaccharides may also increase the absorption of the Igs, potentially improving
health and growth outcomes [119]. g
Recent research has investigated whether HMOs contribute to the protective effect
of human milk feeding on the incidence of NEC in preterm infants. Rodent models of
NEC demonstrated that the protective effects of HMO supplementation are highly HMO
structure-specific [120]. These studies identified that disialyllacto-n-tetraose (DSLNT)
was the most effective HMO in reducing NEC in rats, whereas a structurally similar and
highly abundant HMO, α-1,2-fucosyllactose (2′-FL), has limited effects in both rodents
and preterm pigs. 2.5. Oligosaccharides The major carbohydrates in bovine and human colostrum are lactose and oligosaccha-
rides. Oligosaccharides are composed of more than three monosaccharide [100] units, with
a core of lactose or N-acetyl lactosamine, and are classified as neutral or acidic depending
on the presence of a sialic acid residue in the molecule [101,102]. Mammalian milks contain
a variety of oligosaccharides that consist of different monosaccharides linked to the core
lactose of N-acetyl lactosamine [103–106]. Oligosaccharides are largely undigested in the
upper GI tract of the infant and are instead fermented by gut microbes in the distal small
intestine and colon [102,107]. Oligosaccharide levels across species are highest in colostrum
and decline postpartum [102]. Oligosaccharides are most abundant in humans, ranging
from ~7 to 10 g/L, and represent 10% of the total caloric content of mature milk. Human
colostrum contains 22–24 g/L oligosaccharides, while BC contains 1 g/L oligosaccharides,
and this decreases substantially in the 48 h postpartum [100] (Figure 1). Despite the large
differences in oligosaccharide concentrations, bovine and human milk and colostrum
oligosaccharides contain similar oligosaccharide structures [108]. It remains unknown
if the marked differences in oligosaccharide composition between species (bovine and
human) have a specific role or if different species rely on different milk constituents for
similar antimicrobial and/or immunomodulatory effects. Regardless, the much higher
content of oligosaccharides in human milk versus bovine have led the formula industry
to add select oligosaccharides into formula products in attempts to ‘humanize’ infant
formula [27]. 10 of 41 10 of 41 Nutrients 2021, 13, 2551 Milk oligosaccharides have prebiotic activity, anti-adhesion effects, anti-inflammatory
properties, and glycome-modifying activity, as well as a role in development of brain
and intestinal cells [101]. The supplementation of sialic acid, an oligosaccharide found
in both human and bovine colostrum, can improve neural development and memory in
piglets [109]. Intact oligosaccharides serve as a prebiotic for bacteria, particularly in the
colon [110]. Incubation of HT29 cells with an oligosaccharide found in both human and
bovine colostrum resulted in increased adhesion of Bifidobacterium infantis [111]. B. infantis
and other bacteria, growing readily in the presence of human and bovine oligosaccharides,
reduce gut pH by producing volatile fatty acids. When epithelial cells were incubated
with conditioned media from Infantis fermentation, there was a reduction in the release of
pro-inflammatory cytokines [112]. 2.6. Insight into Novel Milk Components In a continuous effort to explain the benefits of human milk, recent studies have
focused on exosomes, their related extracellular vesicles (EV), micro-RNA (miRNA), and
stem cells (Figure 2). MicroRNAs are small (18–25 nucleotides) non-coding strands of
RNA that exert post-transcriptional regulation on a variety of tissues [127]. They are
largely delivered to their target cell or tissue in extracellular vesicles and are found in most
secretions from the body, including amniotic fluid, tears, blood, saliva, and milk [128,129]. Moreover, miRNAs in milk and colostrum have two main purposes: first, to maintain the
functionality of the mammary gland, and second, to serve as a means of communication
between mother and offspring [130]. A majority of miRNAs found in human, bovine,
and porcine colostrum are associated with immunological pathways [128,131,132], but
other work [130] has demonstrated that miRNAs play an important role in influencing the
growth and development of the neonatal GI tract, particularly compared with mature milk. Extracellular vesicles in human milk and colostrum contain miRNAs associated with
immune regulation and metabolism, proteins involved in the signal transduction, and
inflammatory response. Milk and colostral extracellular vesicles may represent an anti-
inflammatory mechanism underlying the prevention of NEC in preterm infants fed breast
milk [133]. Proteomic work has demonstrated that exosomes and extracellular vesicles
from BC are enriched with proteins associated with the immune response and growth,
indicating their potential role in the regulation of these processes [134]. Co-incubation of
bovine colostral vesicles with human macrophage cultures has shown that miRNAs and
other proteins packaged in these vesicles have a profound effect on the metabolism, cell
migration, and cellular response to LPS challenge [132]. Additionally, Baier et al. [135]
showed that in vitro treatment of human cell culture from a variety of tissue origins with
miRNAs from BC changes gene expression in human cell culture. Other work has shown
that exosomes from bovine milk and BC can both be taken up by human enterocyte culture
and maintain the cell cycle in these cells [136]. Although in vitro work has painted a compelling picture of the potential impact
of bovine miRNA and exosomes on human tissue, in vivo experiments have been less
consistent. The miRNAs packaged in exosomes are largely resistant to degradation in
acidic environments, RNAse treatment, desiccation, and freezing [127,132]. Gu et al. 2.5. Oligosaccharides The latter studies in preterm pigs also tested whether adding the HMO,
2′-FL, was protective against an enterotoxigenic Escherichia coli F18 challenge, because
2′-FL has structural homology to bacterial adhesion sites in the intestine [121,122]. Both
of these studies showed that the addition of 2′-FL to formula-fed preterm pigs did not
reduce or prevent diarrhea or NEC incidence in the first week of life. A study comparing a
mixture of 4 vs. 25 different HMO blends found that these HMOs suppressed intestinal
epithelial cell proliferation and had a modest immunomodulatory effect in the intestine
in vivo, but did not prevent NEC or diarrhea when added to formula and fed to preterm
pigs for 5–11 days after birth. Addition of mixtures of bovine milk oligosaccharides was
well tolerated but did not improve any clinical outcomes in preterm pigs [121–125]. In 11 of 41 Nutrients 2021, 13, 2551 11 of 41 order to move beyond findings in preclinical NEC models, a recent study in matched
human mother–infant cohorts correlated HMO composition in infants with healthy and
NEC outcomes health [126]. This study showed that that DSLNT concentrations were
significantly lower in milk samples from NEC cases compared to controls. Moreover, the
lower level of DSLNT was associated with lower relative abundance of Bifidobacterium
longum and higher relative abundance of Enterobacter cloacae in infants with NEC. These
studies highlight the specificity of HMOs to modulate NEC and the possible interaction
between the immature intestine and developing microbiome community in preterm infants. These findings coupled with the structure and configurational specificity of the beneficial
oligosaccharides, indicate that additional work is warranted to explore the implications of
milk oligosaccharide supplementation in diets for infants and children, particularly the
highly sensitive preterm population. 3. Bovine Colostrum for Growth, Development and Immunity
3.1. Healthy Term Infants and Animal Models 3. Bovine Colostrum for Growth, Development and Immunity
3.1. Healthy Term Infants and Animal Models Limited information is available on the safety and efficacy of providing BC for healthy
term infants who have limited or no access to their own mother’s milk immediately after
birth. In situations when this happens (e.g., maternal disease, agalactia, or no option to
breastfeed), such infants would normally be fed infant formula, or maybe donor human
milk if available. For infants beyond 6 months and toddlers beyond the first year of life,
commercially available follow-on or growing up formulas have been developed. These
formulas were developed to meet the nutritional needs of infants and young toddlers
whose complimentary food intake does meet specific nutritional requirements. The Ameri-
can Academy of Pediatrics guidance indicates that follow-up formulas are nutritionally
adequate but offer no nutritional advantage over infant formulas [142]. Others have raised
questions about the nutritional rationale for follow-on formulas in healthy infants and
toddlers [143]. Therefore, in healthy term infants, there would not seem to be a compelling
rationale for supplementing BC, especially not in developed countries. pp
g
p
y
p
Over the last decades, many adjustments have been made for conventional formulas
to adapt their nutrient contents to age-related needs of infants and children (e.g., less
overall protein and casein, more alpha-lactalbumin, and essential oils instead of bovine
milk lipids). New ingredients continue to be added to infant formulas in order to make it
more similar to that of human milk (‘humanized’ infant formula). More recently, specific
components such as LF, osteopontin, lutein, oligosaccharides, MFGMs, and essential fatty
acids have been added to specialized formulas [27]. The efforts are based on the assumption
that human milk composition is closely adapted to the needs of infants, potentially even
matched between individual infants and their own mother. Nevertheless, the biological
effects of milk and colostrum may only partly be species-specific and closely matched
between mother and offspring in the different species. Thus far, the ability to ‘humanize’
infant formula to accurately reflect nutritive and bioactive constituents of fresh human milk
has failed, particularly regarding the highly unstable, heat-sensitive milk bioactive with
immunological functions. This lack of progress is especially evident from numerous clinical
studies showing the increased risk of diseases (e.g., NEC) in premature infants fed formula
compared to human milk. 2.6. Insight into Novel Milk Components [128]
demonstrated that miRNAs in extracellular porcine milk and colostrum are generally
resistant to harsh conditions and may survive the acidic conditions of the stomach and pass
intact into the small intestine. Baier et al. [135] demonstrated that healthy adults absorb
miRNAs from mature cow’s milk, and other work has shown that humans may absorb
animal- and plant-specific miRNAs. However, it remains unclear if the level of BC-derived
absorbed miRNA and the systemic distribution thereof is sufficient to have a meaningful
biologic effect, as demonstrated in calves where expression of blood miRNAs correlated
poorly with BC consumption [137]. Thus, it is possible that BC-derived miRNAs primarily
exert a local effect on the GI tract and not transported to blood in large amounts. 12 of 41 12 of 41 Nutrients 2021, 13, 2551 Stem cells are present in human milk, and they are more abundant in human colostrum
than in mature milk [138]. Interestingly, these cells are pluripotent, and work in rodent
models has shown that human milk stem cells can be distributed to tissues as varied as the
brain, thymus, pancreas, liver, spleen, and kidney. This wide distribution and additional
characterization have indicated that there may be a role for these stem cells for regeneration
of cells in innate immune system [139,140]. Similar cells have been found in bovine milk
and colostrum, but it is unclear if they survive pasteurization and digestion in the human
neonate, and how they may be bioactive in the small intestine. Additional research is
needed to explore the implications of a pluripotent stem-cell population in BC, particularly
if these cells are absorbed and remain pluripotent after absorption. p
p
p
Extracellular vesicles, miRNA, and stem cells are all present in measurable amounts
in human and bovine colostrum and mature milk. They are potential mechanisms to
influence the growth and immune competence of the neonate [137,139–141]. However,
it remains largely unclear if these effects are species-specific, or if neonatal humans are
affected by these components in bovine milk and colostrum. Thus, additional work is
required to explore the bioavailability and functions of colostral stem cells, particularly for
sensitive neonates. 3. Bovine Colostrum for Growth, Development and Immunity
3.1. Healthy Term Infants and Animal Models On the other hand, it is possible that healthy term infants
are less dependent on optimized levels of nutrients, growth factors, immunomodulatory
components, and antimicrobials in human milk and colostrum than preterm, growth-
restricted, or diseased infants. The short- and longer-term health benefits of the numerous
bioactive factors in fresh human milk or colostrum, and their varying concentrations among
individuals remain poorly understood. Regardless, complete substitution of human milk Nutrients 2021, 13, 2551 13 of 41 13 of 41 by feeding BC to infants, even for shorter periods, is not recommended, due to the markedly
different composition of nutrients and bioactives in BC versus both colostrum and human
milk, but more research on dose-response relationships is needed (see later section). In human children and adults, some of the effects of bovine IgG are similar to those of
IgA in human milk, e.g., binding to human-relevant pathogens, improved phagocytosis
mediated through Fc receptors and prevention of infections [19]. In infants, bovine colostral
IgG may pass through the gut undigested and have local antimicrobial or immune effects in
the gut. Nevertheless, the specificity and effector functions of bovine IgG are not identical
to human milk IgA and IgG, and it remains unclear if intact bovine IgG, provided in pure
form (isolated from plasma or milk) or as part of BC, can fully or partly restore the lack
of mother’s secretory IgA in formula-fed infants. Formula-fed infants receive minimal
amounts of immunomodulatory proteins and Igs because processing technologies and heat
treatment for microbiological safety normally denature these proteins. The development of
more gentle milk-processing technologies in the future may enable inclusion of colostral
Igs, or other fractions of BC, into standard infant formula. Longer-term trials are needed
to confirm if this reduces GI and respiratory infections, with or without changes to the
incidence of allergies and asthma [19]. Bovine colostrum and its components have been extensively investigated for their
potential use as a nutritional, growth-stimulating, immunological, and/or antimicrobial
supplement for newborns of several animal species when their own maternal milk is
deficient or absent. Such animals may even benefit from a short period of exclusive BC
feeding, in contrast to infants. Beneficial effects on growth and development have been
reported for domestic animals (piglets, foals, and lambs) [42,51,144,145] and some pet-
animal species (dogs, cats, and hamsters) [146–149], either as exclusive diet or supplement. 3. Bovine Colostrum for Growth, Development and Immunity
3.1. Healthy Term Infants and Animal Models Results from such studies suggest that BC may also be a useful nutritional and bioactive
supplement for newborn infants, especially for gut functions, as its biological effects are
only partly species-specific. The mechanisms whereby supplementary BC may induce
effects in the gut of another species via nutritional, growth-stimulating, immunological,
and/or antimicrobial factors (Figure 2) may be similar to possible mechanisms for effects
of colostrum/milk versus formula to infants, as illustrated in Figure 4. g
The most widespread use of BC in non-bovine animal species is for piglets. Modern
pig breeds often produce more offspring than the number of functional teats on sows, and
thus there is a need to provide nutrition and passive immunization of newborn piglets
that do not get adequate sow’s colostrum [150]. Supplementing such piglets with intact
BC increases their survival, but it remains lower than for species- and herd-specific sow’s
colostrum provided via their own mother or foster mothers [144]. As in the human infant,
supplementation of BC in piglets has the potential to affect host immunity initially via its
interaction with gut pathogens and mucosal epithelial cells. Similarly, supplementation
of BC with porcine plasma may further improve GI health and development in newborn
pigs, demonstrating that this as a partly species-specific substitution for porcine colostrum,
relative to formula [60]. In these studies, the gut trophic and enzyme maturation effects of
exclusive BC feeding were similar to, or even exceeded, the effects of porcine colostrum. 3.2. Preterm Infants and Animal Models In humans, preterm birth (<90% gestation or <37 weeks in humans) occurs in 5–15%
of all pregnancies [151]. The most immature, very preterm infants (<32 weeks gestation)
suffer most from complications in pregnancy (e.g., inflammation, infection, and placen-
tal dysfunction) or immediate postnatal period, resulting in growth failure and various
longer-term maladaptation syndromes [152,153]. In the weeks after birth, very preterm
infants have high susceptibility to systemic infections (bacteremia and LOS), gut disor-
ders (FI and NEC), lung complications (bronchopulmonary dysplasia, BPD), and brain
damage (intraventricular hemorrhage, IVH; cerebral palsy). Not surprisingly, these infants
need specialized clinical care, but despite the challenges, survival, health, and growth of
preterm infants, even when birth occurs as early as 60–70% gestation (24–28 weeks), have Nutrients 2021, 13, 2551 14 of 41 14 of 41 increased dramatically in the past decades. Improved care for these infants has come partly
via advances in nutritional care (parenteral nutrition, donor milk, specialized formulas,
and better feeding routines) and immunological protection (pro- and antibiotics, and im-
munomodulatory drugs). Especially in preterm infants, intact BC or fractions thereof may
have direct and indirect health effects by modulating the gut immune system, reducing gut
inflammation and enhancing mucosal integrity and tissue repair (see Figure 4 for overview
of possible mechanisms). VIEW
15 of 42 Figure 4. Possible differences between effects of maternal colostrum/milk and formula on the neonatal gut. The figure
illustrates some of the proposed functional effects of maternal colostrum/milk bioactive factors on the dominant gut
microbiota communities, mucosal epithelium, and immune cells, relative to formula diets. Enterobacteriaceae,
Bifidobacteraceae, and Clostridiaceae families represent common bacteria groups found in the developing neonatal gut. The
bacterial community composition can be affected by maternal milk factors, such as Igs (IgA and IgG), LF, bovine and
human oligosaccharides (BMO/HMO), and a number of growth factors (e.g., EGF). Igs and LF have antimicrobial
properties that function to limit epithelial inflammation and apoptosis resulting from activation of Toll-like receptor 4
(TLR4) by Enterobacteriaceae. BMO/HMO may serve as a substrate for growth and colonization of Bifidobacteraceae, a family
of bacteria associated with gut health. The figure also illustrates that key peripheral organs, including the brain and lungs,
directly or indirectly may be impacted by colostrum/milk-induced improved gut microbial activity and gut mucosal
immune defense. (Created with BioRender.com; accessed on 7 June 2021.)
The studies indicated no adverse clinical effects of BC supplementation, increas
Figure 4. 3.2. Preterm Infants and Animal Models Enterobacteriaceae, Bifidobacteraceae,
and Clostridiaceae families represent common bacteria groups found in the developing neonatal gut. The bacterial community
composition can be affected by maternal milk factors, such as Igs (IgA and IgG), LF, bovine and human oligosaccharides
(BMO/HMO), and a number of growth factors (e.g., EGF). Igs and LF have antimicrobial properties that function to
limit epithelial inflammation and apoptosis resulting from activation of Toll-like receptor 4 (TLR4) by Enterobacteriaceae. BMO/HMO may serve as a substrate for growth and colonization of Bifidobacteraceae, a family of bacteria associated with
gut health. The figure also illustrates that key peripheral organs, including the brain and lungs, directly or indirectly may be
impacted by colostrum/milk-induced improved gut microbial activity and gut mucosal immune defense. (Created with
BioRender.com; accessed on 7 June 2021.) enteral protein intake (when feeding with human milk), and/or a shortened time to reach
full enteral feeding (when feeding formula). However, elevated plasma tyrosine
suggested that excessive protein intake from BC may be a concern, especially in the first
week of life (see also later section). These pilot studies suggest that a growth-stimulating
effect of adding BC to human milk or formula may relate to indirect effects via the
developing gut microbiota, potentially via Igs, which, in turn, affect plasma amino acid
levels to a composition more favorable for growth [156]. Studies indicate that intestinal
The potential for using BC specifically to support nutrition and immunological pro-
tection of this highly sensitive infant population has remained largely unexplored until
recently. It is possible that preterm infants, because they have an immature gut, immune
system, and metabolism, have some physiological and immunological similarities with
newborn farm animals, for whom colostrum intake just after birth is absolutely essential for
survival. Recently, stepwise pilot-phase safety trials that involved using a powdered intact
BC product during the first 2 weeks of life were completed in Denmark and China [154,155]. p
g
[
]
absorption of human colostral proteins can occur [46–48,157], yet the capacity of preterm
infants to absorb Igs from BC is very limited or absent [154,155]. A larger study is ongoing
to confirm these initial observations, feeding a maximum of 50 mL/kg/d BC (ColoDan,
Biofiber, Denmark) as a supplement to formula for very preterm infants in the first 2
weeks of life, with time to full enteral feeding as the primary outcome (n = 350,
ClinicalTrials.gov: NCT03085277). 3.2. Preterm Infants and Animal Models Possible differences between effects of maternal colostrum/milk and formula on the neonatal gut. The figure
illustrates some of the proposed functional effects of maternal colostrum/milk bioactive factors on the dominant gut
microbiota communities, mucosal epithelium, and immune cells, relative to formula diets. Enterobacteriaceae, Bifidobacteraceae,
and Clostridiaceae families represent common bacteria groups found in the developing neonatal gut. The bacterial community
composition can be affected by maternal milk factors, such as Igs (IgA and IgG), LF, bovine and human oligosaccharides
(BMO/HMO), and a number of growth factors (e.g., EGF). Igs and LF have antimicrobial properties that function to
limit epithelial inflammation and apoptosis resulting from activation of Toll-like receptor 4 (TLR4) by Enterobacteriaceae. BMO/HMO may serve as a substrate for growth and colonization of Bifidobacteraceae, a family of bacteria associated with
gut health. The figure also illustrates that key peripheral organs, including the brain and lungs, directly or indirectly may be
impacted by colostrum/milk-induced improved gut microbial activity and gut mucosal immune defense. (Created with
BioRender.com; accessed on 7 June 2021.) Figure 4. Possible differences between effects of maternal colostrum/milk and formula on the neonatal gut. The figure
illustrates some of the proposed functional effects of maternal colostrum/milk bioactive factors on the dominant gut
microbiota communities, mucosal epithelium, and immune cells, relative to formula diets. Enterobacteriaceae,
Bifidobacteraceae, and Clostridiaceae families represent common bacteria groups found in the developing neonatal gut. The
bacterial community composition can be affected by maternal milk factors, such as Igs (IgA and IgG), LF, bovine and
human oligosaccharides (BMO/HMO), and a number of growth factors (e.g., EGF). Igs and LF have antimicrobial
properties that function to limit epithelial inflammation and apoptosis resulting from activation of Toll-like receptor 4
(TLR4) by Enterobacteriaceae. BMO/HMO may serve as a substrate for growth and colonization of Bifidobacteraceae, a family
of bacteria associated with gut health. The figure also illustrates that key peripheral organs, including the brain and lungs,
directly or indirectly may be impacted by colostrum/milk-induced improved gut microbial activity and gut mucosal
immune defense. (Created with BioRender.com; accessed on 7 June 2021.)
The studies indicated no adverse clinical effects of BC supplementation increas
Figure 4. Possible differences between effects of maternal colostrum/milk and formula on the neonatal gut. The figure
illustrates some of the proposed functional effects of maternal colostrum/milk bioactive factors on the dominant gut
microbiota communities, mucosal epithelium, and immune cells, relative to formula diets. 3.2. Preterm Infants and Animal Models Further studies
demonstrated that bovine and porcine colostrum were equally effective in inducing body
and gut growth and in protecting against inflammatory conditions in preterm pigs (NEC
and LOS; see later disease section [163–166]). We also showed that BC-fed preterm piglets
had a remarkable capacity to rapidly adapt their gut and immune development to that in
term pigs (within 1 to 2 weeks) [167,168], while brain and neurodevelopment were slower
in reaching normal levels (within 3 to 4 weeks) [169–172] when fed BC during the first
week. These studies clearly indicated the potential to use BC in states of immaturity with
a high sensitivity to gut and immune disorders. Importantly, we subsequently showed
that human donor milk was also relatively effective in protecting preterm pig against
NEC [173]. However, when fed in a minimal enteral feeding protocol, BC was more
effective than donor human milk to reduce the density of mucosa-associated bacteria and
putative pathogens [174]. These studies in preterm pigs suggest that common component(s)
in porcine and bovine colostrum and in human donor milk provide protection against the
development of NEC and importantly that these factors are not species-specific. p
p
y
p
p
The above studies highlight the value of the preterm pig as a preclinical model to
evaluate the function and nutritional availability of milk diets, supplements, and novel
ingredients in the clinical support of preterm human infants. It is also notable that, be-
sides gut complications (feeding intolerance and NEC), this model incorporates a range of
the complications that are commonly known from moderately and very preterm infants,
such as respiratory insufficiency; impaired growth; dysmotility; high sepsis sensitivity;
metabolic derangements; and kidney, liver, and brain dysfunctions [158,159,175,176]. The
integration of all of these complications into the same clinical model is a great advantage
over other (rodent) models in neonatology, because any intervention, including the first
milk diet, is likely to have multi-organ effects. Due to the similar size (0.6–1 kg) and physiol-
ogy of 90% gestation preterm pigs and 70% preterm infants, clinical tools and interventions
can be made similar (e.g., respiratory care, parenteral/enteral nutrition, use of diagnostic
imaging techniques, repeated blood sampling from indwelling catheters, and surgical
interventions) [158]. 3.2. Preterm Infants and Animal Models The interest to use BC for nutritional and immunological support of preterm infants
was sparked by a large series of studies in preterm pigs over 15 years. The neonatal pig
has been used as a model for human infant nutrition and gastroenterology for decades
p
g
p
[
]
The studies indicated no adverse clinical effects of BC supplementation, increased
enteral protein intake (when feeding with human milk), and/or a shortened time to reach
full enteral feeding (when feeding formula). However, elevated plasma tyrosine suggested
that excessive protein intake from BC may be a concern, especially in the first week of
life (see also later section). These pilot studies suggest that a growth-stimulating effect
of adding BC to human milk or formula may relate to indirect effects via the developing
gut microbiota, potentially via Igs, which, in turn, affect plasma amino acid levels to a
composition more favorable for growth [156]. Studies indicate that intestinal absorption
of human colostral proteins can occur [46–48,157], yet the capacity of preterm infants to Nutrients 2021, 13, 2551 15 of 41 15 of 41 absorb Igs from BC is very limited or absent [154,155]. A larger study is ongoing to confirm
these initial observations, feeding a maximum of 50 mL/kg/d BC (ColoDan, Biofiber,
Denmark) as a supplement to formula for very preterm infants in the first 2 weeks of
life, with time to full enteral feeding as the primary outcome (n = 350, ClinicalTrials.gov:
NCT03085277). )
The interest to use BC for nutritional and immunological support of preterm infants
was sparked by a large series of studies in preterm pigs over 15 years. The neonatal pig
has been used as a model for human infant nutrition and gastroenterology for decades
based on homologies with regards to physiology, anatomy, and metabolism [158–160]. We first began by studying pigs delivered by caesarean section at 90% gestation and
observed that feeding porcine colostrum to newborn preterm versus term pigs induced a
marked trophic and functional gut response, for some parameters even more than for term
animals [161]. Subsequent studies showed that preterm pig intestines were highly sensitive
to formula feeding, even more than preterm infants, and spontaneously developed diet-
and microbiota-dependent NEC in the first 1 to 2 weeks of life [162,163]. 3.2. Preterm Infants and Animal Models Potentially, preterm pigs may also be used to test the interacting
effects of BC for gut and skin healing in preterm newborns and the interacting effects with
non-medical clinical routines, such as maternal singing, skin-to-skin contact, and kangaroo
care [177]. A recent study demonstrated reduced gut complications in preterm pigs being
co-bedded, facilitating sibling skin-to-skin contact [178]. The possibility that the immuno-
logical properties of BC may benefit the immature skin of preterm newborns, having altered
cell differentiation and perturbed barrier functions [179], remains unexplored. 3.3. Growth-Restricted Infants, Children, or Animal Models There is a potential to use BC as a supplement in conditions of growth-restriction in
developing countries, mainly because the non-nutritive immunoprotective components
may alleviate clinical risks of infection and inflammation and thus limit negative impacts Nutrients 2021, 13, 2551 16 of 41 16 of 41 on growth at birth or later in infancy and childhood. However, it is not recommended
to feed BC as the sole diet to promote growth (see later section). In clinical practice,
the specific effects of nutrition-induced growth restriction (e.g., poor placental function
before birth and deficient nutrient intake after birth) can be difficult to separate from
associated increases in inflammation and infections. A number of studies performed
mainly in developed countries indicate that providing hyperimmune supplemental BC
reduced severity of diarrhea in children that have evidence of GI infection (see more
in later section) [180,181]. Whether colostrum supplementation increases growth and
development in growth-restricted infants born at full term, without associated diseases
(infectious, inflammatory, or other), is unknown. For infants, it is well-known that growth restriction at birth is a risk factor for many
later diseases, especially if birth also occurs prematurely, making the infant both under-
weight and immature. A large proportion of preterm infants are born intra-uterine growth
restricted (IUGR) and after birth they may continue to experience slow growth related
to their increased postnatal complications, resulting in extra-uterine growth restriction
(EUGR). Human milk is relatively deficient in some nutrients, especially protein and select
minerals (e.g., Ca, P, Fe, and Zn), to support optimal growth of such infants from 1 to
2 weeks of age. Thus, nutrient fortifiers to human milk are needed and a number of prod-
ucts based on typical formula products are available on the market [182]. Due to its high
content of both nutrients (protein) and immunomodulatory factors, BC has been speculated
to have a potential as a nutrient fortifier to human milk. As a basis for the human trials,
we have tested the efficacy of BC as a fortifier to donor human milk in preterm pigs in the
first weeks of life. In pigs fed donor human milk, fortification with BC was superior to
formula-based fortifiers to support growth, gut function, nutrient absorption, and mucosal
defense [183,184]. 3.3. Growth-Restricted Infants, Children, or Animal Models The studies are significant because they suggest that, even though BC
and donor human milk do not contain pig- and species-specific immune components
(e.g., Igs and LF), their local gut effects and non-specific systemic immune effects appear
sufficient to support health and development in preterm pigs. Reduced growth and health challenges of newly weaned piglets can be viewed as an
animal model for the nutrition and immune challenges often observed in infants weaned
early from their mother and fed alternative milk or vegetable diets, particularly when
reared in low-sanitary environments in developing countries. When pigs were weaned
later (3 to 4 weeks) on to vegetable-based diets, growth, intestinal function, and immunity
were improved (local and systemic IgA, Th1 and Th2 cytokines, and nutrient digestion
and absorption) by supplementing small amounts of intact BC or colostrum whey pow-
der (1–10 g/kg body weight per day). Effects occurred mainly during the immediate
post-weaning period when digestive complications, microbial perturbations, and adverse
immune responses were most pronounced [185–190]. A few days of exclusive BC feeding
post-weaning (40–45 g/kg/d) reduced diarrhea, E. coli (Enterobacteriaceae) density in intesti-
nal contents and tissue, and Gram-negative mucosal immune responses (TLR4 and IL-2),
but it also increased short chain fatty acid production, in part due to excessive protein
supply and fermentation [187,188]. Collectively, the studies in young piglets support that
supplemental BC indirectly improves body growth via improved gut functions and immu-
nity, especially in conditions of stress and inflammation, such as the weaning transition,
probably reflecting the mechanisms illustrated in Figure 4. As for infants and children, the
optimal BC intake to stimulate body growth in various clinical conditions is unclear. 4. Bovine Colostrum to Prevent or Treat Specific Pediatric Diseases
4.1. Gut and Lung Infections in Children and Animal Models One of the most extensively studied applications of BC is treatment of gut infections
in children, including rotavirus, enteropathogenic and enterotoxigenic E. coli, Shigella, and
Helicobacter pylori infections (for detailed reviews, see References [19,23,62]). Most of these
studies have been conducted by using hyperimmune BC, which is produced by immuniz-
ing cows with select pathogens or toxins prior to lactation, with the intention to obtain 17 of 41 Nutrients 2021, 13, 2551 17 of 41 BC with enriched titers of pathogen- or antigen-specific IgG antibodies. Studies also have
used different forms of immunoglobulin-enriched products, including IgG-rich colostrum,
IgG-isolates from colostrum or milk, and serum-derived IgG. The products used in the
clinical studies were tested for prophylactic or therapeutic effects in field settings, as well as
in controlled pathogen challenge models. In two double-blind placebo-controlled studies
and two controlled studies designed to treat rotavirus diarrhea, children aged 4–30 months
given hyperimmune BC or concentrated antibodies showed significant clinical reductions
in duration of diarrhea, stool frequency and duration of virus shedding [191–193]. How-
ever, a similar study showed only modest benefits [194]. In controlled studies to treat
enteropathogenic E. coli (EPEC), children with diarrhea were given hyperimmune bovine
milk immunoglobulin concentrate for 10 days. Negative EPEC cultures were found in
84% of treated cases, but in only 11% of control children [195]. In another double-blind
placebo-controlled study, children with E. coli–induced diarrhea were treated with milk
concentrate from cows hyperimmunized with enterotoxigenic E. coli (ETEC), but no ben-
eficial effects on duration of diarrhea or stool frequency were observed [196]. In other
placebo-controlled studies, children infected with Shighella were treated with hyperimmune
BC with one study showing a reduction in stool frequency [197] and another study no
effect [198]. Studies in adults and pathogen challenge studies with Clostridium difficile,
ETEC, and Cryptosporidium parvum showed that hyperimmune BC products can indeed
reduce diarrhea and the presence of pathogens in stool [19,62]. p
p
g
Studies designed to prevent gut infections with rotavirus in children have shown a
protective effect of feeding hyperimmune BC or immune concentrates [199–201]. However,
in another large controlled field study, where immune fractions from cows immunized
with rotavirus and E. coli were added to infant formula, there was no protection against
diarrhea [202]. Thus, a summary of the studies in children infected with either rotavirus or
E. 4.2. Necrotizing Enterocolitis in Preterm Infants and Animal Models 4.2. Necrotizing Enterocolitis in Preterm Infants and Animal Models Necrotizing enterocolitis is the leading cause of infant death from GI disease in infants,
affecting 3–10% of the hospitalized preterm infants around the world [158,207]. NEC has a
mortality as high as 50%, and surgical intervention is necessary in 20–40% of cases, leading
to increased morbidity. Three key features necessary for NEC pathogenesis are infant
prematurity, the presence of gut microbiota, and enteral feeding, especially infant formula. Importantly, feeding mother’s own breast milk has been shown to effectively reduce the
incidence of NEC in preterm infants [9]. The fact that feeding breast milk prevents NEC,
especially in preterm infants, suggests that two key features of NEC, namely the microbiota
and enteral feeding, may be neutralized by the important immune factors present in human
colostrum and milk, but their absence in infant formula. A recent meta-analysis summarized results from eight RCT studies (n = 394 infants)
including mostly preterm infants given human or BC via oropharyngeal route during the
first 48 h of life demonstrated no effect on NEC incidence or all-cause mortality, but a trend
to reduce culture proven sepsis and reduced time to full feeds [208]. The ongoing large
clinical trials on very preterm infants in Denmark and China (<1500 g, total n = 700) will
soon provide more evidence for safety and efficacy of providing BC to preterm infants
to protect against NEC, but also against milder gut immaturity complications, such as
constipation, feeding intolerance, and diarrhea [154,155,209]. However, in none of these
trials was NEC the primary outcome, because of its low prevalence in the above countries
(<5% [207]), requiring a very large sample size to verify NEC effects. Indirect evidence
to support BC for protection against NEC comes from studies showing that BC contains
IgG and IgA antibodies directed against pathogens that have been associated with NEC,
such as Klebsiella, Citrobacter, Enterobacter, and Serratia [210]. A pilot clinical study in
India (total n = 86) showed no benefits of providing a processed BC product to very
preterm infants, and there were even indications (although not significant) of increased
gut inflammation, indicated by elevated IL-6 in stool samples and radiological features of
NEC [211]. 4. Bovine Colostrum to Prevent or Treat Specific Pediatric Diseases
4.1. Gut and Lung Infections in Children and Animal Models coli suggest that they are not uniformly positive, and are heterogeneous with regard to
dose, duration of treatment and form of colostrum product. However, a majority of the
studies found a clinical benefit on diarrhea outcomes when treated with hyperimmune
BC. Likewise, the studies targeting prevention of rotavirus by feeding hyperimmune BC
showed positive effects of reduced diarrhea outcomes. Importantly, hyperimmune BC
directed against specific pathogens, in this case rotavirus, has clear therapeutic potentials
in children and better effects than against pathogenic bacterial species. A recent meta-
analysis including 213 children mostly supplemented with hyperimmune BC indicates
reduced severity of diarrhea in children that have evidence of GI infection with E. coli and
rotavirus [180]. The clinical evidence may suggest that non-immune BC is less effective
in controlling gut diseases than hyperimmune colostrum derived from pathogen-specific
immunized cows. However, a recent double-blind RCT with 160 children with evidence
of GI infection performed in Egypt showed that providing supplemental non-immune
BC reduced severity of diarrhea [181]. An important observation from these studies, in
children as young as 3 months of age, is the absence of any adverse effects of BC. This point
raises the question of whether BC can be safely fed to even younger term infants and those
born preterm. Possibly, BC can be particularly effective in preventing bacterial translocation
and additional immune protection in immature states of gut microbial colonization (e.g.,
low species abundance and diversity) and mucosal immunity (e.g., mucous production
and immune-cell responses). In addition to binding GI tract associated pathogens, IgG from BC can bind to res-
piratory pathogens, such as human Respiratory Syncytial Virus (RSV), influenza virus
and Streptococcus pneumonia [203]. This immunomodulation explains why raw milk
consumption (provision of more intact IgG) is associated with fewer upper respiratory
tract infections and otitis media [204]. While the studies suggest that BC can prevent upper
respiratory tract infections, the many open, non-controlled prospective studies should
be interpreted with caution. A role for IgG from BC in preventing or ameliorating viral
respiratory tract infections is possible, but whether this protective effect will also affect
allergy prevalence remains to be established [19]. 4. Bovine Colostrum to Prevent or Treat Specific Pediatric Diseases
4.1. Gut and Lung Infections in Children and Animal Models The reduced prevalence of allergy in Nutrients 2021, 13, 2551 18 of 41 18 of 41 farming families in many countries [205] may be related to intake of unpasteurized milk
(containing more intact IgG and immunological factors) by both infants, children as well as
their pregnant and lactating mothers. Again, important lessons are available from studying the effects of intact or frac-
tionated BC in developing pigs with infections. Effects on lung infections are poorly
documented, but a number of reports show specific abilities of BC to protect gut epithelial
cells against infections, even without prior immunization of pregnant cow’s against specific
pig pathogens. Thus, the increased in vitro membrane permeability caused by piglet ETEC
bacteria was decreased by three different BC fractions [206]. The fractions contained widely
different amounts of Igs and growth factors, suggesting that individual BC factors do not
alone explain the protective effects, but antimicrobial compounds such as LF, lysozyme, and
lactoperoxidase may all be involved in synergy [206]. In vivo, exclusive feeding with intact
BC prevented diarrhea, relative to formula-fed piglets, probably via inducing a higher
ratio of lactic acid bacteria to hemolytic E. Coli, and lower expression of intestinal Toll-like
receptor-4 and IL-2 [187,188]. Similar antibacterial and immune modulating effects in
newly weaned piglets were found by other investigators after supplementation with intact
BC [185,186,189], but whether such effects extend to organs distant to the gut (e.g., lungs)
remains unknown It is noteworthy that small BC supplements to weanling 3-to-4-week-old
pigs (0.5–1 g/kg/day) slightly increased systemic IgA levels (likely gut-derived) [185,186],
potentially supporting epithelial protection throughout the body, while an exclusive BC
diet from day 3 of life (40–45 g/kg/day) had no effects on systemic IgG, IgA, or IgM [188]. 4.2. Necrotizing Enterocolitis in Preterm Infants and Animal Models Relatively large amounts (5–8 g/kg/d) of product (Pedimmune, Merck, India)
were fed for up to 3 weeks with mixed feedings, and its safety related to other constituents
than BC alone was questioned (e.g., excessive osmolality). In another recent study on
preterm infants (total n = 80, <34 weeks gestation), an intact BC product (Immuguard,
Dulex-Lab Pharmaceutical, Egypt) increased systemic T-regulatory (Treg) cell number Nutrients 2021, 13, 2551 19 of 41 19 of 41 and showed a clear tendency to improved feeding tolerance, growth and resistance to
NEC [212]. In this study, maximum 20 mL/kg BC fluid (e.g., <1 g/kg/d) was supplemented
to daily formula meals and was compared to formula alone for a maximum of 2 weeks,
while gradually transitioning infants to full formula feeding when mother’s own milk
was unavailable. Beyond the few published clinical studies described above, no studies have examined
the effects of BC supplementation on NEC. However, there are a number of clinical studies
that have tested whether feeding human immunoglobulin preparations can prevent the
incidence of NEC [213–217]. Three of the five clinical studies, based on a total of 2095
infants, were reviewed, and it was concluded the current evidence does not support admin-
istration of oral immunoglobulin for NEC prevention [218]. The earliest reported studies,
showing a protective effect of human Igs against NEC, were small, the outcome assess-
ments not blinded, and infants that received human breast milk were excluded [213,215]. This contrasts with the more recent large randomized placebo-controlled double-blind
study where 90% of the infants received breast milk, and with no effect of immunoglobulin
supplementation [214]. Here, the immune protection provided by breast milk itself may
explain that additional immunoglobulin had no effect. Additionally, Eibl et al. (1988) [213]
and Rubaltelli et al. (1991) [215] administered the oral immunoglobulin within the first
24 h following birth, whereas Lawrence et al. (2001) [214] only began oral supplemen-
tation after initiation of enteral feeding. The Lawrence et al. (2001) and Rubaltelli et al. (1991) studies used preparations containing predominately IgG, whereas the study by
Eibl et al. (1988) used an immunoglobulin mixture containing 73% IgA and 26% IgG. The
Lawrence et al. (2001) study also fed a higher dose of immunoglobulin (1200 mg/kg/bw)
than the Eibl et al. (1988) and Rubaltelli et al. (1991) studies (600 mg/kg/bw). 4.2. Necrotizing Enterocolitis in Preterm Infants and Animal Models Thus, from
the available studies in preterm infants, is would appear that supplementing BC may be
safe, but the benefits on endpoints of growth, morbidity and disease outcomes are lacking
given the relatively small number of studies reported. g
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The available evidence from pigs suggest that Igs, and a wide range of antibacterial
and immunomodulatory factors in BC [3], may work across species, and therefore have
protective effects against pathogens and inflammatory reactions in the infant gut. Using
preterm pigs as a model of infant NEC [52,158,163,219], BC has been shown to effectively
reduce NEC incidence, compared to different feeding regimens of infant formulas, human
milk or even amniotic fluid (the natural fetal ‘enteral diet’) [163,164,174,183,184,219–238]. The effects were most pronounced within the first week after preterm birth [174,229,239],
with similar efficacy as porcine colostrum [164] and may ameliorate damage induced by ear-
lier or later formula feeding [223,233,239,240], at least when representing a major part of the
daily diet [240]. Importantly, BC maintained its in vivo efficacy to protect against NEC in
preterm pigs following the spray-drying and heat-pasteurization required for long shelf life,
easy handling, and product sterility [232]. Preterm pigs have provided detailed insight into
the possible modes of action of BC to prevent NEC development. The effects of BC include
stimulation of physical activity [171], feeding-induced mucosal growth [164,223,229], diges-
tive enzyme support [174,184,229,233,240], better nutrient absorption [173,174,224,229,241],
improved enteric nervous system development [227,234,242], dampened bacterial over-
growth [163,164,173,174,223,233], reduced intestinal cytokine responses [219,229,230,233],
less intestinal permeability [173,174,224,229,233], prevention of pathogen adherence to the
gut epithelium [173,184,236], greater production of intestinal mucus [163,243], and reduced
bacterial fermentation of nutrients to lactate and short chain fatty acids. It is not clear if
BC mediates these effects on NEC by altering gut bacterial colonization. We found no
consistent changes in microbiota community profiles associated with BC-induced NEC
protection, particularly not during the first week after birth when colonization is chaotic
and highly variable [164,173,174,219,223,229,244]. In week two after birth, BC feeding
appeared to produce a more robust impact on the gut microbiota, preventing overall
bacterial adherence to the mucosa, and proliferation of potentially pathogenic strains of
Campylobacter, Helicobacter, Enterococcus, and some Clostridia [174]. 20 of 41 20 of 41 Nutrients 2021, 13, 2551 4.3. 4.2. Necrotizing Enterocolitis in Preterm Infants and Animal Models Fetal Infection and Neonatal Sepsis in Infants and Animal Models A large fraction of the infants born prematurely are born in response to maternal
infection (chorioamnionitis) with exposure of the developing fetus to gut, lung and systemic
inflammation in utero. Such prenatal insults are associated with infections just after birth
(early onset sepsis, EOS) and altered immune system development with a range of adverse
short- and longer-term outcomes across many organs (e.g., NEC, BPD, and IVH) [245]. The health consequences of fetal inflammation for preterm infants are highly dependent
on the type, length and level of fetal infection-induced inflammation, from inducing a
precocious (potentially beneficial) immune maturation, to adverse immune defects with
subsequent widespread inflammatory insults [246,247]. No studies are available in infants
but in theory, BC supplementation may ameliorate the postnatal consequences of fetal
inflammation by better control of bacterial colonization after birth and modulation of local
and systemic immune responses. In preterm pigs, postnatal BC feeding was clearly more
effective than formula feeding to dampen the gut inflammatory effects of experimental
intra-uterine infection of the fetus [238,248]. Even without fetal inflammatory insults, newborn preterm infants are highly sus-
ceptible to LOS) following systemic infections caused by entry of bacteria across their
permeable barriers (skin, lung, and gut) or via indwelling catheters for parenteral nutrition
and intravenous medication. Between 10 and 40% of hospitalized preterm infants expe-
rience one or more periods of systemic infection [183,249,250]. Preterm infants are more
predisposed to LOS because of immature function of circulating innate and adaptive im-
mune cells, and an inability to mount an effective immune response to eliminate invading
microorganisms. They rely on a disease-tolerant rather than a disease-resistant strategy
to combat infections [251]. There is no doubt that mother’s own milk, via IgA and other
immunomodulatory components, decreases sepsis sensitivity [252]. y
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Whether BC supplementation decreases the risk of sepsis, especially in formula-fed
preterm infants, is unclear. A colostrum-like product showed no effect on sepsis in the pre-
viously mentioned Indian study [211], while the Egyptian study reported a clear tendency
of fewer LOS cases. The latter study showed more systemic Treg cells, inducing a more
disease-tolerant state, when formula-fed preterm infants were supplemented with BC from
birth [212]. 4.2. Necrotizing Enterocolitis in Preterm Infants and Animal Models Blood T-regulatory cells (Tregs) are critical factors in regulating the newborn
innate and adaptive host response to infection and prevent excessive tissue inflammatory
damage whilst allowing development of the immune system components, necessary to
combat infections (Th1). The results are promising and may suggest a preventive effect
of BC against LOS, but results need to be confirmed in more immature infants receiving
variable amounts of human milk and formula. In preterm pigs, heat treatment (pasteurization) reduced the capacity of human milk to
reduce systemic infection [253], yet the addition of BC to pasteurized donor milk improved
its capacity to prevent infection [184]. Direct antimicrobial effects of BC are supported by
studies in vitro, both in combination with formula [254] and human milk [250]. Conversely,
potential indirect effects, such as improved gut integrity, reduced bacterial transloca-
tion, and systemic immunity, in immature newborns are supported by studies in both
piglets [229] and rodents [255]. Such luminal effects of BC, facilitating systemic immune
protection, may explain why BC feeding markedly reduced adverse clinical symptoms and
brain defects in a preterm pig sepsis model [166]. However, reduced systemic neutropenia
and bacterial clearance, relative to formula feeding, were observed mainly when BC was
fed in the first days after preterm birth, not later [165,239]. Because preterm pigs are able to
absorb intact Igs during the first day after birth, some of these effects may be mediated via
circulating bovine Igs, and these effects could be pig-specific, and not relevant for human
infants. Regardless, enteral feeding with BC may reduce sepsis sensitivity in both infants
and pigs, especially just after preterm birth. 21 of 41 21 of 41 Nutrients 2021, 13, 2551 4.4. Inflammatory Bowel Disease in Adolescents or Animal Models Inflammatory bowel disease (IBD) comprises multiple GI disorders, including Crohn’s
disease (CD) and ulcerative colitis (UC), and has multifactorial etiology that involves an
exaggerated immune response in genetically select groups in response to an environmental
factor [256]. The incidence of pediatric IBD is increasing and it develops mainly in adoles-
cence (ages 10–17), but can also occur in younger children less than 5 years of age. Common
treatments of pediatric IBD are corticosteroids, amino salicylate, and immunomodulatory
agents, such as thiopurines, methotrexate, and anti-TNF antibody drugs. Many of these
treatments have important adverse side effects that can reduce body growth and skeletal
development during this critical stage of life. 4.2. Necrotizing Enterocolitis in Preterm Infants and Animal Models Key factors that are commonly altered in
cases of IBD and its treatment are the gut microbiota composition and nutrition, since both
elements can interact to affect the mucosal immune response [257]. Since nutrition plays
a key role in pediatric growth and can also modulate IBD morbidity, dietary approaches
have been used in treatment, including use of exclusive and partial enteral nutrition as
well as dietary exclusion. The use of exclusive enteral nutrition involves nutrition inter-
vention using a complete liquid formula and is recommended as a first-line therapy for
mild-to-moderate IBD by the European Society of Pediatric Gastroenterology, Hepatology
and Nutrition (ESPGHAN). There are no clinical studies in pediatric patients and only one study that has examined
the effect of BC in adult IBD patients with distal colitis [258]. This study involved a small
randomized double-blind controlled protocol in middle-aged (45 years) patients with mild
to moderately severe distal colitis, given twice daily rectal enemas of either a purified BC
product (100 mL of 10% solution) or a control bovine serum albumin solution for four
weeks. Several of the patients in both groups were concurrently taking amino salicylate. The BC enemas were well tolerated, and the results showed a significant reduction in
clinical symptom score after two weeks in BC-treated patients with no improvement in
controls. Further, BC-treated patients’ biopsies showed improvement in histological score. ,
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The above human study is supported by studies in a mouse DSS colitis model show-
ing that relatively low daily oral gavage of BC (20 mg/kg/bw) improved occult blood,
stool consistency, and clinical recovery from colitis, but without preventing the initial
weight loss [259]. Conversely, human colostral sIgA (1 to 2 mg/kg/bw) improved re-
covery of weight loss induced by colitis [259]. Oral gavage with higher daily intakes
of BC (100 mg/kg/bw but not 500 mg/kg/bw) in DSS-treated mice also showed protec-
tion against tissue injury, and the effects were partially mediated by the IgG present in
BC. In a mouse model of TNBS-induced colitis, a relatively high daily oral BC intake
(100 mg/mouse) for 21 days reduced colonic tissue injury, proinflammatory cytokine ex-
pression, and abundance E. coli and Enterococci [260]. Taken together, despite only a single
human adult IBD study, the results in mouse colitis models suggest that oral BC offers some
protection against mucosal inflammation and tissue injury. 4.2. Necrotizing Enterocolitis in Preterm Infants and Animal Models This experimental evidence
encourages further well-designed, clinical trials in pediatric IBD patients to explore the
benefits of BC to reduce disease morbidity. 4.5. Short-Bowel Syndrome in Infants or Animal Models 4.5. Short-Bowel Syndrome in Infants or Animal Models Short bowel syndrome (SBS) is the clinical condition resulting from surgical resection
of large portion of intestine due to congenital defects (intestinal atresia and gastroschisis)
or disease-associated loss of absorption, leading to an inability to maintain nutrient balance
when fed a normal diet. In pediatrics, disease-related SBS is prevalent, resulting from
severe NEC lesions, requiring removal the affected (necrotic) parts of the intestine and/or
colon. The clinical condition is particularly severe after removal of the distal part of the
small intestine, as demonstrated in both patients and animal models, possibly due to the
dense localization of immune and enteroendocrine cells in the ileum [261]. Preterm infants with SBS after NEC and intestinal resection depend on small volumes
of enteral food, in addition to parenteral nutrition, to stimulate gut growth and adaptation,
without overloading the immature, remaining parts of the resected gut. Human milk is the Nutrients 2021, 13, 2551 22 of 41 22 of 41 recommended diet for all preterm infants, including SBS infants, but when the mother’s
own milk or donor human milk is not available, formulas are used. Again, a protein-rich
and growth-factor-rich non-human milk diet, such as BC, could be a relevant supplement
to this diet. In a pilot study, children (>1 year) with SBS due to a previous episode of NEC
and surgery did not improve their intestinal functions (nutrient balance) after inclusion of
BC in the enteral diet [262]. Enteral BC supplementation was well tolerated by preterm
infants shortly after surgery, with no signs of cow’s milk allergy [263], but more studies
are required to substantiate if and how BC should be used for this highly sensitive patient
population. A number of both infant- and feeding-related factors (e.g., gestational age,
postnatal, resection type, feeding volume, and other diets) may affect responses, making it
very difficult to fully document benefits or possible harm in infant studies. y
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The clinical complications observed after 50% distal intestine resection in preterm
pigs are similar to those in infants subjected to intestinal resection for reasons other than
NEC [261]. However, surgical resection in preterm pigs following extensive NEC lesions
is difficult due to both practical and ethical limitations in the care of such individuals. 4.5. Short-Bowel Syndrome in Infants or Animal Models Importantly, the postsurgical adaptation responses to enteral formula feeding are reduced
in preterm versus term SBS pigs, and the clinical complications, such as hemodynamic
instability, hypothermia, intestinal dysmotility, dehydration, respiratory distress, and
peritonitis, are more severe [264]. Preterm SBS pigs have a blunted postsurgical increase
in intestinal protein synthesis, villus height, crypt depth, and digestive enzyme activities
when compared with the corresponding intestinal segment in unresected control pigs. In such piglets, there is limited effect of providing enteral diets, either as infant formula
or BC [263], yet the enteroendocrine growth factor glucagon-like peptide 2 (GLP-2) had
marked effects immediately after resection [265]. The diminished adaptation in preterm
and term newborn pigs contrasts with the structural and functional adaptation of the
remnant distal part of the intestine in slightly older (4–8-week-old) suckling pigs that
were subjected to resection. In these older pigs, a BC concentrate significantly increased
adaptation and circulating levels of insulin-like growth factor 1 (IGF-1) [266,267] and
GLP-2 [268]. These findings suggest that the effect of BC in developing SBS individuals is
highly dependent on the stage of maturation, as well as many other confounding variables. 5. Processing of Bovine Colostrum for Use in Pediatrics Infants, especially those born preterm or otherwise immunocompromised, may benefit
from the antibacterial, immunomodulatory, and growth-stimulating effects of BC (Figure 2). Therefore, the adverse effects of processing colostrum to its constituents (e.g., bioactives,
macronutrients, and micronutrients) are more likely to impact the response of these infants
to BC supplementation, relative to more robust term infants and children. Processing pro-
cedures differentially reduce the content of many bioactive factors in BC [225,232,254,276],
and while this may decrease in vivo bioactivity, it does not eliminate it, partly due to
the high amounts present in native BC before processing. Igs and LF are relatively sen-
sitive to heat damage, while other bioactive peptides, such as IGF-1 and TGF-β, are less
sensitive [276–278]. Consequently, IgG and LF are often used as markers of BC bioactivity. q
y g
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There are similar challenges in the preservation of the natural bioactivity of human or
bovine milk concentrates. In NEC-sensitive preterm pigs, untreated or gently sterilized
(ultraviolet-light lower-temperature sterilization) human donor milk or bovine whey pro-
tein concentrates have superior effects to protect against NEC, intestinal inflammation and
systemic infections, relative to products subjected to more intense heat [225,253,279,280]. The same may be true for BC. Thus, care should be taken not to eliminate colostral bioac-
tivity during industrial processing, despite the need to provide a microbiologically safe
product, for infection-sensitive newborn infants. The product- and host-related effects of different processing steps have been exten-
sively studied for dairy products (i.e., freezing, thawing, ultra-filtration, heat- or freeze-
drying, food matrix effects, heat pasteurization, ultrahigh heat treatment, irradiation, and
storage conditions with regards to temperature, oxygen pressure, and moisture). Much
less is known about colostrum, but such processing steps are critical to ensure microbi-
ological safety. The processing effects may differ between mature milk and colostrum
due to widely differing composition of both nutrients and heat-sensitive bioactive factors
(Figure 3) [3]. Concern for damage to BC by standard heat treatment is not primarily
related to macronutrient levels (e.g., protein, lipid, carbohydrate, minerals, and vitamins),
but to effects on heat-sensitive proteins that may lose their biological function. Thus,
denaturation of colostral proteins by standard heat treatment will not likely reduce amino
acid absorption kinetics, which is determined more by protein composition (casein and
whey), as shown in piglets [35]. 4.6. Chemotherapy-Induced Mucositis Childhood leukemia is the most common cancer found in children. Gastrointestinal
mucositis is a common adverse advent of cytotoxic anticancer treatment that increase mor-
bidity and mortality. Chemotherapy-induced mucositis (CIM) is an inflammatory process
that affects mucosal surfaces and submucosal layers, and is often considered the most
serious side effect of cancer treatment. Beyond the problem of mucosal inflammation itself,
CIM may adversely affect nutrient and fluid absorption, influence endocrine functions of
the intestine, and increase intestinal permeability. CIM also affects innate and adaptive
immune functions of the developing intestine, leading to malnutrition, microbial translo-
cation, and systemic inflammatory complications [269]. Considering these complications,
coupled with the immune-depressing effects of the cancer itself (especially in leukemia),
it is not surprising that BC has been speculated to alleviate the complications of CIM in
pediatric patients. In a recent study on childhood acute lymphoblastic leukemia (ALL), children with
newly diagnosed ALL were randomized to receive daily BC or placebo supplements during
4 weeks of chemotherapy induction treatment (total n = 62). No differences were found
for days with fever (primary outcome), bacteremia, or inflammation, but peak severity of
oral mucositis was reduced by BC supplementation, despite that only small amounts of BC
(0.5–1 g/kg/d) were ingested by these severely ill pediatric patients [270]. g
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In piglet models of pediatric CIM (without the associated cancer), whole BC had
beneficial effects on gut responses after chemotherapy compared with infant formula, but
less when compared with intact bovine milk. BC ameliorated the short-term effects of
doxorubicin [271–273] and also of the more intense myeloablative chemotherapy treatment Nutrients 2021, 13, 2551 23 of 41 23 of 41 using busulfan and cyclophosphamide [274,275]. Thus, BC may support the general
nutritional status, but it may also promote specific gut mucosal integrity via antimicrobial
and endotoxin-neutralizing effects, suppression of gut inflammation, and promotion of
mucosal tissue repair. 5. Processing of Bovine Colostrum for Use in Pediatrics In individuals with immature digestive function (preterm
infants), protein digestibility and amino acid absorption may be improved by heat-induced
protein denaturation, as shown in infants after ultrahigh temperature (UHT) treatment of
formula [281]. Differential clinical responses to BC supplementation of infants and children in the
previously reported clinical trials (e.g., gut, immunity, infections, and growth) may arise
from processing-related differences in the contents of BC bioactives. Bioactivity of dif-
ferent commercially available BC products varies markedly, as measured in vitro (up to
6-fold) [282]. This inconsistency in bioactivity is a great concern for use of BC as therapy
for hospitalized infants and children. The factors in BC that support gut development,
immunity and survival in other species are heat-sensitive. When whey protein concen-
trates are severely heated (80–85 ◦C, 20–30 min), a reduction in gut-protective effects is
observed [279,280]. In contrast, raw, frozen, and mildly heat-treated BC may retain its
bioactivity to protect against gut disorders and inflammation, as demonstrated in newborn
term pigs [144,224,283,284]. In addition to heat pasteurization, milk and colostrum components are exposed to
significant heat during the spray-drying process to obtain a powdered dry product for
easy handling and long shelf life. This process, with or without vacuum-concentration, Nutrients 2021, 13, 2551 24 of 41 24 of 41 induces relatively minor damage to milk proteins [285], probably due to the large surface
area of milk particles during the evaporation and drying process. Both in vitro cell stud-
ies and in vivo studies in immature pigs, analyzing fresh and spray-dried BC, support
this [224,232,254,276]. Conversely, one or several pasteurization steps, especially using
the fast high-temperature method (15 s, 72 ◦C), relative to the more gentle, slow low-
temperature Holder pasteurization method (30 min, 63 ◦C), induces much greater damage
to many colostral proteins [254,276]. In our studies, attempts to secure a near-sterile in-
tact BC product for preterm infants by exposing the product to additional irradiation,
induced further protein and amino acid modifications, potentially affecting both nutrient
availability and product bioactivity. On the other hand, it can eliminate common low-
density pathogens in processed milk powders, such as Bacillus cereus, that often escape
heat pasteurization steps [254]. While it remains unclear if different processing steps
reduce BC bioactivity for infants and children in vivo, it remains critical to balance the
need for microbiological safety against processing-related damage to milk proteins. 5. Processing of Bovine Colostrum for Use in Pediatrics In
the ongoing preterm infant studies [154,155,209], we used a low-temperature pasteur-
ized, gamma-irradiated, spray-dried BC product, carefully characterized for its bioactivity
in vitro [250,254,276] and in vivo in preterm pigs [232]. The obligation to secure microbiological safety of human donor milk (typically by heat
pasteurization) for sensitive preterm newborn infants may decrease its natural protective
bioactivity. This may present an option to use BC as a supplement or a fortifier to human
donor milk. Pasteurization-induced loss of milk bioactivity will occur for both fluids, but
because BC is much richer in many bioactive components, its protective effects may be
retained after processing, as shown in preterm pigs studies [232]. Among the available
dietary choices for preterm infants, it is also clear that infant formula is inferior in its
gut-protective effects to both BC and human donor milk [173]. Alternative methods
to secure microbiological safety, such as exposure to ultraviolet light, have been tested,
and provide superior quality of human milk for preterm pigs [253], but the general use
of this method is still limited. Adverse effects of pasteurization techniques, interacting
with long and inappropriate storage conditions (warm, moist, and light), may further
accelerate protein modifications that inevitably decrease nutritional value and bioactivity
of BC. In recent decades, ultrahigh temperature (UHT)-treated ready-to-feed liquid milk
formulas have been widely used for hospitalized infants. Studies indicate that the extra
heat-treatment steps for such products, combined with long storage, induce significant
damage to milk bioactivity by modifying amino acids and high levels of Maillard reaction
to components [286,287]. Ultrahigh-temperature treatment of liquid BC is therefore not a
preferred method as part of BC processing for sensitive infants, despite the benefits for
easy handling, feeding, and long-term storage. 6. Product Consistency and Quality Any medical food or nutritional product used in patients, within or outside hospitals,
must have a consistent product composition and quality, especially with respect to nutrient
and microbiological profiles, but also environmental contaminants. This is a challenge for
BC because its composition changes markedly over the first two days of lactation after
calving, with rapidly decreasing amounts of many bioactive components [3,277]. Unless
the collection time from cows is tightly controlled and restricted, with final products pooled
from many farms and cows, this may result in varying BC product compositions, as indi-
cated in a recent survey [282]. In addition, BC composition will vary among different cattle
breeds, seasons of the year, cow nutrition, cow parity, and herd health conditions, together
affecting product consistency for both nutrients and bioactive constituents. Importantly, it
cannot be excluded that cows reared in an environment with pollutants entering the food
chain (e.g., heavy metals or persistent organic pollutants, POPs [288]), would also excrete
these pollutants in their colostrum. These would likely be excreted in higher amounts in
colostrum than in the later mature milk due to the leaky mammary epithelium at parturi-
tion [2]. In this perspective, it is critical that colostrum collected from cows treated with Nutrients 2021, 13, 2551 25 of 41 25 of 41 antibiotics is tested for antibiotic residues, because any antibiotic residue may be excreted
particularly in colostrum. This seems unlikely since most dairies and companies collecting
BC for human use need to adhere to strict guidelines for screening antibiotic residues [289]. Thus, bovine colostrum products need to be carefully analyzed to prevent infants and
children from exposure to antibiotic residues [290]. Further studies are needed to establish
when unwanted components in colostrum, human, or bovine induce health or growth
complications short- and longer-term, particularly in sensitive preterm infants [288]. antibiotics is tested for antibiotic residues, because any antibiotic residue may be excreted
particularly in colostrum. This seems unlikely since most dairies and companies collecting
BC for human use need to adhere to strict guidelines for screening antibiotic residues [289]. Thus, bovine colostrum products need to be carefully analyzed to prevent infants and
children from exposure to antibiotic residues [290]. Further studies are needed to establish
when unwanted components in colostrum, human, or bovine induce health or growth
complications short- and longer-term, particularly in sensitive preterm infants [288]. 7. Possible Health Risks of Using Bovine Colostrum in Pediatrics Any novel dietary supplement fed to infants and children must be carefully checked
for its short- and longer-term safety. Safety concerns regarding BC are particularly rele-
vant for the most vulnerable newborns and children with serious diseases. Some com-
mon reservations against use of BC in pediatrics include widely varying product supply,
quality, purity and microbiological safety (see previous section), increased child allergy
risk, excessive supply of nutrients (protein), nutrient deficiencies (certain amino acids,
oligosaccharides, and minerals), excessive supply of growth factors, and inhibition of
drug absorption. Most of these concerns are poorly documented in the literature, but it
remains important to consider how BC can be used safely, in the optimal formulation
and intake levels, at the right time and age, and only in pediatric patients that will in fact
benefit from BC supplementation. Several commercial colostrum products are available
and were cited in this review and previous reviews [282]. Some products available online
are marketed for use in infants and toddlers, but the evidence to support the safety of these
products is usually lacking. A commercial bovine colostrum product produced by a US
based biotechnology company recently self-affirmed GRAS (Generally Recognized as Safe)
after being reviewed by an independent expert panel of scientists. For a substance to be
given GRAS determination, scientific data and information about its use and its chemical,
toxicological, and microbiological properties must be widely known, and the safety under
the conditions of use are approved by consensus among qualified experts. 6. Product Consistency and Quality The highly variable production conditions add to the concern for adequate micro-
biological safety, with possible contamination of the product at farms and/or during
processing and packaging (see previous section). Use of BC in pediatrics should normally
meet the microbiological safety standards for milk powders. In some countries, microbio-
logical safety standards may be particularly strict for certain microbes when powders are
used for sensitive newborn infants (e.g., E. sakazakii, E. coli, and Bacillus cereus). Variable
composition, risk of microbiological contaminants, and possible pollutants are factors that
require strict quality control with BC products for use in human patients, especially infants
and children. In this regard, quality control of BC should be similar to that of infant formula
and products derived from human donor milk [291–293]. 7.1. Cow’s Milk Allergy Cow’s milk allergy (CMA) is a very well-studied pediatric condition and affects 2 to
3% of infants in developed countries [14,294] and decreases rapidly after the first years
of life. Clinical CMA symptoms are typically seen within few hours of ingesting formula
based on cow’s milk and can be IgE or non-IgE mediated. FPIES [16] is part of a larger
cluster of non-IgE mediated allergic disease conditions with a prevalence <1%, often related
to cow’s milk protein, and affecting the GI tract (e.g., rectal bleeding) [295]. While these
allergic conditions in term children may show similarity with NEC in preterm infants,
they are likely distinct diseases with limited overlap in predisposing factors and disease
mechanisms [15,296]. There is currently no reason to suspect that the risk of developing
CMA is greater for BC than for formula or intact cow’s milk. Many bovine milk proteins
(>25) can cause allergy and casein subtypes; alpha-lactalbumin and beta-lactoglobulin
are potent allergens [297]. These groups are present in similar amounts in BC and milk,
while the large amount of non-allergenic immunoglobulin G [298] is present only in BC
(Figure 1). Nutrients 2021, 13, 2551 26 of 41 26 of 41 In our pilot preterm infant studies, bovine immunoglobulin G (bIgG) was not detected
in the plasma of preterm infants supplemented with BC [155], and no IgE-mediated allergy
was detected for BC-supplemented infants with short-bowel syndrome [263]. Even if bIgG
is detected systemically in infants, this would not likely cause allergic reactions. Many
human vaccines are developed from Igs raised in other species [42]. In weanling piglets
fed BC-rich diets, no anti-bovine immunoglobulin could be detected in plasma although
BC modulated the lymphocyte populations locally in the gut [185]. It remains unknown
why a commercial IgG-containing BC-like product (6% IgG) supplemented to the diet of
preterm infants in India (400 mg IgG/kg/day) was associated with a trend to more gut
inflammation [211], but this is not likely to result from bIgG-induced NEC or FPIES symp-
toms. Preterm infants have an immature immune system that is skewed towards tolerance
to foreign proteins, potentially making them more tolerant to introduction of bovine milk,
and thereby also colostral proteins from cows, than normal infants. 7.2. Recommended Safe and Effective Intake Levels 7.2. Recommended Safe and Effective Intake Levels Widely differing intakes of BC have been applied when powdered, whole, or frac-
tionated BC products were supplemented to formula or mother’s own milk for infants
and children (0.1–3 g/kg/d, 5–75% of recommended daily protein intake). Typically, the
highest intake levels were used in the first week of life for preterm or underweight in-
fants [155,209,211,212], having a deficient supply of own mother’s milk. These infants also
have the highest daily protein requirements for metabolism and growth (~4 g/kg/d). Sup-
plementary BC (containing 50–70% protein mainly as IgG) is an attractive way to provide
more enteral protein for gut and body growth and metabolism in preterm infants reared
on human milk, which is normally considered deficient in protein. However, because the
highly enriched IgG may be partly undigested to maintain bioactivity [19], the bioavailabil-
ity of amino acids in colostrum protein may be less than in highly digestible hydrolyzed
protein in infant formulas. This potential issue of amino acid bioavailability of BC proteins
highlight a gap in our current knowledge and warrants further investigation, especially in
preterm infants with a high protein requirement and an immature digestive capacity. While a low level of supplementary BC may be nutritionally and immunologically in-
effective, excessive BC intake could raise concerns about possible protein toxicity, especially
for preterm infants [300]. In such infants, excessive protein may pose a risk for metabolic
disturbance, azotemia, and acidosis, in part related to immature metabolic, hepatic, and
renal functions. This dysfunction may, in turn, induce brain defects via toxicity of certain
amino acids (phenylalanine, glycine, and methionine [301]). In preterm infants, excessive
protein supply may first raise plasma levels of an aromatic amino acid, tyrosine. While
such feeding-induced ‘hypertyrosinemia’ is not generally considered toxic [302], tyrosine
levels may be used as a marker of excessive BC supply to preterm infants during the
first weeks after birth [154,155]. Plasma tyrosine levels increase in preterm pigs following
BC supplementation during the first week, consistent with the relatively high tyrosine
levels in BC [229]. Despite these concerns, amino acid toxicity is a rare condition, even
in preterm infants, and normally excess amino acid supply would be effectively excreted
as urea [300]. 7.1. Cow’s Milk Allergy Consequently, the
prevalence of CMA in preterm infants tends to be lower, not higher, than for normal infants,
indicating that preterm infants are not at increased risk of developing CMA after exposure
to BC or milk [299]. Advice against using BC for infants and children, based on CMA
concerns, is therefore relevant mainly for individuals already diagnosed with CMA. 7.2. Recommended Safe and Effective Intake Levels In preterm infants, moderately high blood urea levels (e.g., 5–10 mM) may
indicate immature liver and kidney functions and/or excess protein supply, but such urea
levels are not toxic, and blood urea level alone is a poor marker of adequate protein intake
for growth and protein intake in preterm infants [301]. Collectively, protein toxicity is
unlikely to be a problem following BC supplementation to human milk or formula, at least
not within the normal upper limits of daily protein intake for infants. Normal gut motility is diet-dependent and critical to avoid maldigestion, constipation,
and diarrhea and GI inflammatory reactions. For sensitive pediatric patients, too much Nutrients 2021, 13, 2551 27 of 41 27 of 41 BC-derived casein may adversely affect GI motility and delay gastric emptying due to
casein clotting in the stomach. Thus, casein-based pediatric formulas often consist of partly
hydrolyzed proteins [303,304] to avoid feeding intolerance, gastric residuals, and constipa-
tion, as often observed in preterm infants [305–307]. Low-dose BC supplementation within
normal protein limits of preterm infants is unlikely to induce casein-related dysmotility
and ongoing clinical trials will test this [154,209,224]. In preterm pigs, exclusive BC feeding
was associated with accumulation of casein clots, and more gastric mucosal lesions in
the first week of life when the gut was still very immature [164,173,174,233]. However,
neither casein supplementation to whey-based formula nor rapid advancement of a diet
with casein (intact or hydrolyzed) increased the NEC sensitivity in preterm pigs [304,308]. In fact, a moderate BC-induced retention of digesta in the stomach may promote digestion
and gut maturation, relative to whey-based formulas, as indicated from food transit studies
in preterm pigs [309]. The available literature on from infants and children indicate that the optimal time,
duration, and intake level of BC supplementation may differ among different clinical
conditions, and much research is lacking to define optimal treatments. Pediatric animal
models may help to evaluate if excessive or prolonged BC supplementation induces
nutritional deficiencies and/or health risks for infants and children. Consistent with its
biological role to secure nutrition and immunological protection of newborn calves, there
may be limited nutritional benefit of BC when provided in high amounts beyond the
first weeks of life although in preterm pigs exclusive BC feeding is effective to promote
growth, gut, immunity, and microbiota development beyond 10 days, at least relative to
formula [174,239]. 7.2. Recommended Safe and Effective Intake Levels In the first week of life, BC supplementation to formula-fed preterm pigs
is most NEC-protective when fed in amounts of >50% of the total diet [240], but optimal
doses later are less clear, as also shown in chemotherapy-treated term piglets [273]. In
a single study, preterm pigs fed exclusive BC in high amounts for seven days showed
reduced NEC incidence but abnormal body growth and blood chemistry values (e.g., high
blood Na, urea, and lipids) [310]. In all pediatric studies, much less BC was provided
than in these animal studies. Relatively high intake levels (8 g/kg/day) of a BC-like
highly processed product (6% IgG) for 3 weeks to very preterm infants in India may have
led to high osmolality and the reported tendency to adverse NEC effects, but limited
product information was provided in the published report [211]. Clearly, more research is
required to define when and how much BC, provided in intact or fractionated form and
after different processing, should be given to specific pediatric patients to optimize their
nutrition, growth, and health outcomes. 8. Conclusions This review provides an extensive overview of the human and animal studies that
have examined the potential benefits of feeding BC to infants and children, mainly with
regards to its effect in the GI tract. A number of studies in term infants and children have
fed BC as a supplement to infant formula or donor human milk with limited adverse
effects. More recent studies in preterm infants fed a low supplemental BC intake showed
no adverse effects, whereas one study with high intake of a processed BC product, with
relatively low IgG levels, produced a tendency to adverse intestinal inflammatory effects. The limited number of studies in infants, and several studies in term and preterm piglets,
suggest that feeding exclusive pasteurized BC, or as a supplement to infant formula,
protects against several GI diseases, such as rotavirus diarrhea, NEC, sepsis, and CIM
mucositis. The evidence suggests benefits and safety especially from hyperimmune BC
products directed towards specific pathogens in infants and children. The mechanisms
explored to explain the benefits of BC on GI diseases frequently suggest antimicrobial and
immune-stimulating functions of Igs, potentially in synergy with other bioactives, such as
LF. Nevertheless, it remains unclear how all of these BC bioactive factors act independently
or in synergy to promote growth and gut mucosal protection. While safe and effective use
of single BC constituents, especially Igs, is reported, the complexity of BC and the variety Nutrients 2021, 13, 2551 28 of 41 28 of 41 of clinical conditions provide an argument for using intact BC, rather than fractions or
isolated components from BC for infants and children. of clinical conditions provide an argument for using intact BC, rather than fractions or
isolated components from BC for infants and children. The few existing infant studies, together with numerous preclinical animal and cell
culture studies, provide a framework to stimulate further investigation of feeding BC
in human infants and children. This option has become increasingly possible with the
commercial availability of BC preparations to be used as medical foods. This question
should also be addressed considering the fact that processed bovine milk products (infant
formula) have been fed to infants for >100 years and to very preterm infants for >50 years. Supplementation with BC should only be considered when mother’s own milk or donor
human milk are not available or clearly insufficient in nutrients or protective factors. 8. Conclusions We
need safe, effective, and economically viable alternatives to processed infant formulas,
which, for preterm infants, is well documented to increase the risk of many diseases,
including NEC and sepsis. It is exceedingly difficult to prove both safety and clear health-promoting effects
of new clinical procedures, drugs, or nutritional therapies for hospitalized infants and
children. Generally, patient populations are small and the associated complications to test
safety and efficacy of new interventions develop with low frequency. Another therapy
that has recently been considered for infants and children is probiotics, which only a few
decades ago was considered unsafe for immunocompromised preterm infants. Based
on the evidence from dozens of randomized controlled trials, many neonatal units are
feeding probiotics to hospitalized preterm infants, even though they are not officially
approved for such use, in either Europe or United States. The same applies for numerous
drugs given to fragile and critically ill infants and children that have not been tested in
randomized controlled trials for safety of the intended indication. Given that bovine-milk-
based formulas have been given exclusively, or as supplements, to term infants and children
for centuries, we suggest that further studies are warranted to test whether pasteurized BC
can be a safe and effective nutritional supplement for a number of pediatric patient groups,
providing improved immunity and gut health. At the same time, research is needed to
better identify the most responsive patient groups and target diseases (e.g., preterm infants
with high NEC/sepsis sensitivity, and children with infections and gut complications); the
optimal timing, age, and dose of BC; and the optimal BC product for each condition (e.g.,
optimally processed intact or fractionated BC). Author Contributions: Conceptualization, writing—original draft preparation and writing—review
and editing, P.T.S., C.V., V.M.H. and D.G.B. All authors have read and agreed to the published version
of the manuscript. Funding: We acknowledge the financial support of Innovation Fund Denmark, Biofiber Damino, and
University of Copenhagen, together sponsoring the majority of all studies related to bovine colostrum
(P.T.S.). Finalizing this manuscript was supported by funds from PanTheryx to University of Copen-
hagen (P.T.S.) and by federal funds from the USDA, Agricultural Research Service under Cooperative
Agreement Number 58-6250-6-001 and the National Institutes of Health Grant DK-094616 (D.G.B.). 8. Conclusions Acknowledgments: We acknowledge the generous support and critical comments of all the persons
involved in the many studies on BC products and use of BC in piglet models and human infants,
including (in alphabetical order): Lise Aunsholt, Stine Bering, Randal Buddington, Ole Bæk, Dereck
Chatterton, Malene Cilieborg, Fei Gao, Gorm Greisen, Michael Ladegaard, Duc Ninh Nguyen,
Xiaoyu Pan, Rene Shen, Susanne Søndergaard, Thomas Thymann, Xudong Yan, Peng Yuemeng, Gitte
Zacchariasen, and Mette Østergaard. We thank Gunner Jakobsen, Arne Høst, and Murali Premkumar
for critical review of this manuscript. Conflicts of Interest: Caitlin Vonderohe has received an honorarium for preparation of this manuscript. All other authors declare that they have not received any personal remuneration for scientific or pri-
vate work related to bovine colostrum products and their biological effects. University of Copenhagen
has received research grants related to use of bovine colostrum for pediatric patients (see above). The
University of Copenhagen holds a patent on the use of bovine colostrum for pediatric patients. Per
T. Sangild is listed as a sole inventor but has declined any share of potential revenue arising from
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Infección por chikunguña materno-fetal asociada con miocarditis neonatal
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REPORTES DE CASO
doi: 10.11144/Javeriana.umed57-2.icmf
Infección por chikunguña materno-fetal
asociada con miocarditis neonatal
Silvia Catalina Corrales Martínez1, Carlos Fonseca2, Doris Salgado3
Cómo citar: Corrales Martínez SC, Fonseca C, Salgado D. Infección por chikunguña materno-fetal asociada con
miocarditis neonatal. Univ Med. 2016;57(2):236-48. doi: http://dx.doi.org/10.11144/Javeriana.umed57-2.icmf
Resumen
El virus de chikunguña es un arbovirus de la familia Togaviridae y fue aislado por
primera vez en Tanzania y Uganda, en 1953. Esta infección se ha desarrollado de
manera endémica y es transmitida por el mosquito del género Aedes. El mecanismo
exacto de la transmisión de madre a hijo aún no se tiene claro, pero se han identificado
potenciales complicaciones de la transmisión vertical, como malformaciones
congénitas, mortinatos, restricción del crecimiento intrauterino y partos pretérmino.
En este artículo se presentan dos casos clínicos de neonatos que presentaron arritmias
cardiacas en sus primeros días de vida, hijos de madres con síndrome febril en curso
por chikunguña. Se diagnosticó miocarditis por chikunguña y transmisión vertical,
confirmado por reacción de cadena de polimerasa. Ambos pacientes recibieron manejo
médico, incluidas inmunoglobulinas, con mejoría del cuadro clínico, sin desenlaces
fatales.
Palabras clave: chikunguña, arbovirus, recién nacido, embarazo, exposición transplacentaria.
1
Médica residente de primer año de Pediatría, Facultad de Salud, Universidad Surcolombiana-Hospital Universitario Hernando Moncaliano, Neiva, Colombia.
2
Médico pediatra, Unidad de Cuidado Intensivo Neonatal-Hospital Universitario Hernando Moncaliano, Neiva,
Colombia.
3
Médica pediatra, Departamento Infectología Pediátrica, Facultad de Salud, Universidad Surcolombiana-Hospital Universitario Hernando Moncaliano, Neiva, Colombia.
Recibido: 13/08/2015
Revisado: 13/10/2015
Aceptado: 09/11/2015
Silvia Catalina Corrales Martínez et al. Infección por chikunguña materno-fetal asociada con miocarditis neonatal
237
Title: Maternal-fetal Chikungunya
Infection Associated with Neonatal
Myocarditis
Abstract
Chikungunya is an arbovirus of the Togaviridae
family first isolated in Tanzania and Uganda, in
1953. This infection has been developed with endemic and is transmitted by the Aedes mosquito.
The mechanism of transmission from mother to
child is not yet clear, but it has identified potential complications from vertical transmission,
such as birth defects, stillbirths, intrauterine
growth retardation and preterm deliveries. Then
two cases of infants who developed cardiac arrhythmias in their first days of life, children of
mothers with febrile syndrome in progress by
Chikungunya are presented. Myocarditis vertical transmission Chikungunya and confirmed by
polymerase chain reaction was diagnosed. Both
patients received medical management including
immunoglobulins, with clinical improvement
without complications or dead.
Key words: Chikungunya arbovirus, newborn,
pregnancy, maternal-fetal exchange.
Introducción
El virus del chikunguña es transmitido
por artrópodos que causan una enfermedad caracterizada por fiebre, erupciones
cutáneas y artralgias. Ha vuelto a surgir en
la última década y ha causado numerosos
brotes en todo el mundo [1]. El chikunguña se infecta a través de su inoculación en
la piel por picaduras de mosquitos infectados. Afecta células residentes de la piel,
lo que desemboca en un fase de infección
cutánea; posteriormente, en estas células
se lleva a cabo la replicación inicial. La
inoculación directa del virus en la circu-
lación sanguínea también puede ocurrir
a través de las picaduras de mosquitos.
El virus logra difundirse a los ganglios
linfáticos, donde continua su ciclo de replicación para expandirse a los órganos
periféricos, como el bazo y los tejidos
muscular, hepático, neurológico y articulares [1]. El chikunguña ha llegado a las
costas americanas y ha causado más de un
millón de casos [1]. Desde finales de 2004,
el chikunguña ha surgido en las islas del
sudoeste del océano Índico. Entre enero y
marzo de 2005 se registraron más de 5000
casos en las Comoras. En la isla Reunión,
un departamento francés de ultramar, con
un total de población de 787.836 habitantes, la transmisión fue moderada hasta la
temporada de lluvias, cuando se calculó
una epidemia de magnitud sin precedentes, al reportarse 300.000 casos, con una
incidencia máxima de más de 45.000 casos [2]. Durante este brote, estuvo afectada más de un tercio de la población [2].
En junio de 2005, se identificó el primer caso de transmisión del chikunguña
de madre a hijo [2]. Durante este brote,
el 70 %-80 % de las madres infectadas
eran sintomáticas. Estudios posteriores informaron que, durante el brote, la
enfermedad por chikunguña cursó sin
efectos observables en los resultados
del embarazo y no afectó a los recién
nacidos si la madre estaba infectada
antes del periodo cercano al parto [3].
Sin embargo, otro estudio encontró que
si la madre era sintomática entre dos
días antes del parto o después de este,
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238
los recién nacidos de estas madres también desarrollaban síntomas pocos días
después del nacimiento [3]. Este evento
se conoce como transmisión vertical del
chikunguña, y ocurre durante brotes de
la enfermedad, asociado a viremia significativa en la madre en el último trimestre. Durante este periodo, cerca del
50 % de los neonatos puede presentar
infección por chikunguña con cuadros
severos y afectación en diferentes órganos vitales [4].
Con un amplio espectro de manifestaciones, la infección neonatal por
chikunguña incluye anomalías del sistema nervioso, alteraciones hemorrágicas y manifestaciones cardiacas [5],
con una alta tasa de morbilidad neonatal [6]. Cuando existe afectación del
sistema nervioso central, puede causar
enfermedad grave con discapacidad a lo
largo de toda la vida del recién nacido
[4]. El conocimiento sobre la evolución
clínica de la enfermedad y la confirmación rápida con pruebas virológicas mejoran la gestión de los entes de salud,
lo que puede contribuir a disminuir las
complicaciones [6]. La ausencia de un
tratamiento específico justifica las medidas actuales de protección en mujeres
embarazadas, sobre todo con gestaciones cercanas al término [6].
A pesar de todos los esfuerzos en
investigación sobre el tema, hay poca
información sobre la seroprevalencia
de infección por chikunguña y la inci-
dencia de transmisión vertical [3]. La
exposición prenatal a los anticuerpos
maternos determina el paso trasplacentario y el tiempo de latencia de la inmunoglobulina G (IgG) específica, durante
la primera infancia. Este paso de anticuerpos predomina en el final del embarazo, en un embarazo a término [6]. Un
estudio de seroprevalencia después de
una epidemia, basada en el distrito Thepa en la provincia de Songkhla, Tailandia, utilizando pruebas para IgM e IgG
en sangre materna, en las que dieron positivo para IgM, también se estudiaron
muestras del cordón umbilical [3].
La seroprevalencia de IgM positiva
fue de 227 con IgG positiva en 319 casos, interpretado como un 71 % de seroconversión. Con una seroprevalencia
previa al brote (IgM e IgG positiva) de
43, para un total del 6 % de seroconversión. Ninguno de los recién nacidos cuyas madres eran IgM tenían la sangre del
cordón positiva [3]. La permeabilidad
de la barrera placentaria para chikunguña se demostró in vitro [4] y la hipótesis
de la transmisión vertical se centra en la
baja penetrancia de los anticuerpos protectores inmaduros de origen materno,
que no logran el paso al recién nacido.
Ello permite la transmisión a través de
la placenta durante el parto, principalmente en madres con alta viremia [6].
Por esta razón, no se recomienda la cesárea como intervención obstétrica de
rutina. Existen varias propuestas para
explicar los mecanismos de transferen-
Silvia Catalina Corrales Martínez et al. Infección por chikunguña materno-fetal asociada con miocarditis neonatal
239
cia placentaria [6]; sin embargo, no es
claro por qué puede existir infección
tardía, ya que la mayor transferencia de
anticuerpos maternos ocurre cerca del
final del tercer trimestre, lo que debería
suministrarle protección al recién nacido [6]. En diferentes investigaciones se
ha relacionado el tiempo de seroconversión de anticuerpos IgG con el momento de la exposición durante el embarazo
[7]. Más del 75 % de los niños tienen
anticuerpos IgG persistentes más allá de
un año después de la infección materna durante el primer trimestre, más del
30 % en el segundo trimestre, y menos
del 1 % si la exposición ocurre en el tercer trimestre [7].
La transmisión vertical se ha definido como la aparición de signos clínicos
de afectación neonatal. En los casos que
se describen en este artículo se diagnosticó miocarditis por chikunguña, la cual
resulta de la infección por un virus cardiotrópico seguido por la destrucción
inflamatoria del miocardio [8]. La miocarditis también puede extenderse al
pericardio y endocardio. Puede ser causado por una variedad de mecanismos
como la infección viral o medicamentos
cardiotóxicos [9]. Como resultado final
de esta patología se encuentra cierto
grado de disfunción cardiaca, desde leves efectos subclínicos, como arritmias,
insuficiencia cardiaca, choque cardiogénico, hasta muerte súbita [9]. Con
base en la gravedad de la enfermedad,
la miocarditis se clasifica en tres ca-
tegorías clínicas: aguda, fulminante y
crónica. Los casos subclínicos más leves pueden tener resolución espontánea
y pasar inadvertidos. Caso contrario en
la enfermedad fulminante, que produce
en los pacientes choque cardiogénico.
En los casos crónicos puede progresar a
miocardiopatía dilatada [9].
Como entidad, la caracterización
de la miocarditis tiene presentaciones
clínicas y etiologías diversas [8]. La
miocarditis y la consecuente miocardiopatía que pudiera ocurrir es causada
por agentes infecciosos y no infecciosos
[8]. En las últimas cuatro décadas, la
infección viral se ha reconocido como
la etiología más común. Utilizando la
reacción en cadena de la polimerasa y
las técnicas de hibridación in situ, ARN
y ADN viral, se han identificado pacientes con afección del miocardio. El tratamiento de la miocarditis sigue siendo en
gran medida de apoyo sintomático. El
tratamiento inmunosupresor puede ser
favorable en pacientes con miocarditis
de células gigantes y sarcoidosis. El uso
de la terapia inmunomoduladora y antiviral permanece, en gran parte, en investigación en este momento. Se necesitan
ensayos con tamaños de muestra mayores y aleatorizados controlados para determinar su papel en el tratamiento de la
cardiopatía inflamatoria [8].
El presente reporte de caso demuestra la transmisión vertical del chikunguña. Por lo tanto, se sugiere que en
Univ. Méd. ISSN 0041-9095. Bogotá (Colombia), 57 (2): 236-248, abril-junio, 2016
240
los casos en que las maternas presenten fiebre en trabajo de parto, en zonas endémicas, debe considerarse una
emergencia médica, con indicación de
hospitalización y, de tener la opción,
incluir toma de muestras para estudios
virológicos, clasificándolos como casos
sospechosos de infección por arbovirus
[5]. El bienestar fetal debe ser monitorizado regularmente y, si es necesario,
tratar a la paciente como un parto de
emergencia. Esto porque la transmisión
vertical se observa casi exclusivamente en el contexto de la viremia materna intraparto, que conduce a infección
neonatal grave, y estos recién nacidos
prematuros o de término deben mantenerse en la unidad de cuidado intensivo
neonatal durante al menos una semana,
pues esta entidad representa un riesgo
significativo para la sobrevida y salud
de los neonatos, e implicaciones en la
salud pública [5].
Informe del caso
Se presentan los casos de dos pacientes
neonatales en quienes se evidenciaron
manifestaciones cardiacas dadas por
bradiarritmias. Uno pretérmino y otro
a término, ambos hijos de madres que
cursaron con síndrome febril y sintomatología probablemente secundarios a
chikunguña. En un monitoreo materno
fetal del tercer trimestre se demostró
bienestar cardiaco fetal.
Caso 1
El caso corresponde a un recién nacido
de sexo masculino, de 36 semanas de
gestación al nacer. Tuvo un peso adecuado para la edad gestacional de 2890
gramos y talla de 51 centímetros. La
madre, de 33 años de edad, era multípara, con pobres controles prenatales,
quien no tuvo ruptura prematura de
membranas. Los resultados de sus exámenes paraclínicos fueron negativos
para enfermedades infecciosas: sífilis,
toxoplasma, rubéola, citomegalovirus y
herpes (STORCH), hepatitis B y VIH,
durante la gestación.
Durante la anamnesis, la madre refirió que nueve días previos al parto
presentó un episodio de fiebre no cuantificada asociado a náuseas, cefalea y
mialgias. Por este motivo consultó el
servicio de urgencias, donde no identificaron signos de alarma; sin embargo,
se le realizó un monitoreo fetal reactivo,
cuyo resultado no evidenció alteraciones en la frecuencia cardiaca del bebé
que sugiriera sufrimiento o patología
fetal (figura 1). Se interpretó como síndrome febril por chikunguña. El día del
parto se obtuvo un recién nacido por cesárea de urgencia, debido a presencia de
taquicardia fetal mayor de 200 latidos
por minuto (lpm) y perfil biofísico que
evidenciaba arritmias y pausas cardiacas que alternaban con taquicardia.
Silvia Catalina Corrales Martínez et al. Infección por chikunguña materno-fetal asociada con miocarditis neonatal
241
a)
b)
Figura 1. a) Monitoreo fetal. b) Perfil biofísico
Al nacer, el paciente presentó bradicardia con paro cardiorrespiratorio,
que requirió una adaptación inducida.
Luego de la intubación orotraqueal se
obtuvo una frecuencia cardiaca (FC)
de 160 lpm y saturación de oxígeno del
96 % con fracción inspirada de oxígeno
(FIO2) del 35 %. Durante su estancia
en la unidad de cuidado intensivo neonatal (UCIN), se obtuvo en el electrocardiograma (EKG) taquicardia sinusal
con FC 150 lpm, con cifras tensionales
normales (figura 2a). Se realizó ecocardiograma que demostró disfunción biventricular severa de predominio derecho e
hipertensión pulmonar con insuficiencia
tricuspídea grado 3 (figura 2b). También se le realizó al neonato un EKGHolter, que evidenció variabilidad de la
frecuencia cardiaca, afectada de forma
severa y escasas extrasístoles supraventriculares (figura 2c). Por ello se inició
manejo médico con digitálicos tipo be-
tametildigoxina a dosis de 1 gota cada
12 horas (26 µg/kg) para mejorar la
contractibilidad cardiaca; así como sildenafil a dosis de 5,80 mg cada 6 horas
(2 mg/kg) para manejo de la hipertensión pulmonar.
Por las características clínicas de la
madre con enfermedad febril, con alta
sospecha de chikunguña, se diagnosticó
miocarditis de origen viral y se decidió
realizar tratamiento con IgG (KIOVIG) a
dosis de 3 g. Se ampliaron estudios paraclínicos con prueba para dengue negativa, y pruebas de función miocárdica con
creatinina cinasa total, creatinina cinasa
fracción MB y troponina I, las cuales fueron positivas. Se descartaron alteraciones metabólicas o electrolíticas (tabla 1).
En un nuevo control ecocardiográfico, se
evidenció mejoría clínica y recuperación
de la función sistodiastólica ventricular
izquierda, cierre del conducto arterioso y
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242
disminución de la hipertensión pulmonar
(figura 2d). El paciente evolucionó satisfactoriamente, en que un último reporte
de exámenes paraclínicos estuvieron de
parámetros normales. Se le dio egreso
al neonato con manejo ambulatorio con
digitálicos y control con cardiología e infectología pediátrica. Durante el cuadro
clínico no se observó otra sintomatología.
Figura 2b. Ecocardiograma inicial. Disfunción miocárdica biventricular severa, conducto arterioso permeable hipertensivo, hipertensión pulmonar severa, seno coronario
dilatado. FE 49 %. Flujo del istmo de 0,70
m/s, gasto cardiaco de 107 ml/kg minuto
Figura 2a. Electrocardiograma derivación
DII largo, caso 1. Taquicardia sinusal FC 150
lpm
Figura 2d. Ecocardiograma de control. Buena
función sistodiastólica ventricular izquierda,
discinesia del tabique anteromedial. Seno coronario dilatado. FE 58 %. Flujo del istmo de
1,08 m/s, gasto cardiaco de 302 ml/kg minuto
Caso 2
Figura 2c. Holter de 24 horas. Ritmo sinusal
con frecuencia ventricular máxima de 175 latidos por minuto. Arritmia sinusal con escasas
extrasístoles supraventriculares. Variabilidad
de la frecuencia cardiaca comprometida de
forma severa
Este caso corresponde a una recién nacida a término de 40 semanas y 3235
gramos de peso, de una madre multípara con controles prenatales adecuados,
quien fue remitida de una institución
de salud de primer nivel por un cuadro
clínico que había iniciado cuatro días
previos al parto, consistente en fiebre no
Silvia Catalina Corrales Martínez et al. Infección por chikunguña materno-fetal asociada con miocarditis neonatal
243
cuantificada asociada a cefalea, mialgias
y artralgias.
En la mujer se había evidenciado
edema, rubor, calor y dolor localizado
en la región maleolar interna del miembro inferior derecho y eritema en el ab-
domen. Con nexo epidemiológico para
chikunguña, se le diagnosticó síndrome febril de posible etiología viral por
chikunguña. Al tercer día de fiebre materna, presentó actividad uterina y parto
vaginal sin complicaciones y sin nuevas
distermias durante el puerperio.
Tabla 1. Reporte de exámenes paraclínicos
Caso 1
Caso 2
Unidades
PCR
0,1
0,1
mg/dl
Leucocitos
15,0
10,7
103 × mm3
Neutrófilos
60,7
54,5
%
Monocitos
8,9
…
%
Linfocitos
28,1
33,8
%
RBC
5,0
18,3
103 × mm3
Hemoglobina
16,7
16,0
g/dl
Hematocrito
48,1
45,0
%
Plaquetas
386,0
400,0
103 × mm3
BUN
12,5
6,9
mg/dl
Creatinina
0,7
0,4
mg/dl
CPK
507,6
191,1
U/L
CK-MB
33,3
49,9
U/L
Troponina I
0,06
0,1*-0,9**
ng/ml
Dengue IgM
Negativo
Negativo
Dengue IgG
Positivo
Positivo
Negativo
Negativo
Dengue NS1Ag
*
Troponina inicial. Troponina de control 48 horas después.
**
PCR: proteína C reactiva; RBC: Red Blood Cells; BUN: nitrógeno ureico; CPK: creatina fosfocinasa;
CK-MB: creatina cinasa fracción MB; IgM: inmunoglobulina M; IgG: inmunoglobulina G; NS1 AG:
antígeno contra proteína no estructural 1; TGO: transaminasa glutámico oxaloacética; TGP: transaminasa glutámico pirúvica; PT: tiempo de protrombina; PTT: tiempo parcial de tromboplastina; INR:
International Normalized Ratio.
Fuente: elaboración propia.
Univ. Méd. ISSN 0041-9095. Bogotá (Colombia), 57 (2): 236-248, abril-junio, 2016
244
En el parto se obtuvo una recién nacida con adaptación inmediata espontánea. En el segundo día de vida presentó
un episodio de somnolencia e hipotonía
asociado a bradicardia afebril e hipoglucemia transitoria. Se le realizó un
EKG donde se observó ritmo sinusal y
ondas T aplanadas con presencia de ondas Q (figura 3a). Además de troponina I
positiva (véase tabla 1).
Un ecocardiograma fue compatible
con hipertensión pulmonar leve, sin
deficiencia miocárdica evidente, por lo
que se indicó manejo expectante con
oxígeno a bajo flujo y monitorización
continua. Dados los hallazgos clínicos
y paraclínicos, se sospechó miocarditis viral neonatal secundaria a probable
transmisión vertical del chikunguña.
A la recién nacida se le tomó un nuevo EKG que mostró presencia de ritmo
sinusal y persistencia de ondas Q y T
planas (figura 3a). En un nuevo ecocardiograma se registró frecuencia cardiaca limítrofe, disminución del gasto
cardiaco, disfunción contráctil ventricular izquierda, diámetros diastólicos hacia la dilatación, hipertensión pulmonar
leve e insuficiencia tricuspídea grado 2
(figura 3b).
Figura 3a. Electrocardiograma derivación
DII larga. Ritmo sinusal. FC 112 xm, presencia de ondas Q y T planas
Figura 3b. Ecocardiograma inicial (izquierda). Buena función sistodiastólica ventricular izquierda. Gasto cardiaco de 209 ml/kg/min. Insuficiencia tricuspídea para una PSPE de 45-47 mmHg
y mitral mínima. FE 57 %. FC 110 xm. Ecocardiograma control (derecha). Disfunción contráctil
ventricular izquierda, con frecuencia cardiaca limítrofe. Diámetros diastólicos ventriculares hacia la dilatación, gasto cardiaco de 188 ml/kg/min FE 52 %. FC 99 xm
Silvia Catalina Corrales Martínez et al. Infección por chikunguña materno-fetal asociada con miocarditis neonatal
245
Dada la afectación cardiaca se administró IgG (INTRATEC) a dosis de
1 g/kg. Posteriormente, en un control
con exámenes paraclínicos se observó
una ligera disminución de marcadores
cardiacos (tabla 1). Al quinto día de
edad, tercer día de enfermedad, presentó exantema difuso generalizado sin
ningún otro síntoma (figura 4). La bebé
continuó con una evolución clínica satisfactoria sin requerimientos de apoyo
inotrópico y se le dio egreso con control
en cardiología e infectología pediátrica. Durante el curso de la enfermedad
se realizaron toma de muestras para
serología por chikunguña y niveles de
anticuerpos. Se obtuvo PCR positiva en
ambos casos, con IgM negativas.
Figura 4. Fotografía de la paciente con exantema difuso generalizado al tercer día del inicio de los síntomas
Discusión
La enfermedad viral por chikunguña es
transmitida a los humanos por la picadura de mosquitos infectados y se ha
vuelto emergente en las Américas [10].
Los vectores involucrados son Aedes
aegypti y Aedes albopictus, distribuidos en países tropicales, subtropicales
e, incluso, en climas templados [11].
En este trabajo se describió otra de las
formas de transmisión que pueden suceder en el periodo cercano al parto o
durante este. La transmisión vertical en
el 48,7 % de las gestantes se asocia con
enfermedad neonatal grave [6]. Durante
el inicio del embarazo, la infección es
inusual; pero si ocurre, puede ser causa
de abortos [11]. Esta transmisión vertical se encuentra asociada a enfermedad
neonatal grave y es relativamente poco
frecuente; se ha descrito una prevalencia global de infecciones materno-fetales después de las 22 semanas
de gestación del 0,25 %. En contraste,
durante el parto, la tasa de transmisión
en madres con viremia alta es cercana al
50 %, momento en que destaca el periodo intraparto como el momento crítico
para transmisión al neonato [7].
En la literatura se encontró que la
barrera placentaria es eficaz en la prevención de la transmisión de chikunguña materno-fetal durante el trabajo de
parto [7]. Pero la transmisión maternofetal se observa con frecuencia en madres con viremia hasta el término del
Univ. Méd. ISSN 0041-9095. Bogotá (Colombia), 57 (2): 236-248, abril-junio, 2016
246
embarazo [2]. Cuando la madre es altamente virémica, con una carga viral
media de 1,5 millones copias por mililitro en plasma, se reporta que es posible
el paso de la barrera placentaria. Con
la aparición de contracciones uterinas
durante el parto, la tasa de transmisión
vertical puede llegar a ser del 48,7 %,
en los recién nacidos expuestos al virus
durante el parto. Este valor podría ser
predictivo para transmisión confirmada.
Se ha demostrado la presencia de IgG
específica para chikunguña durante más
de 6 meses en más del 50 % de los recién
nacidos infectados. Estos anticuerpos
podrían ser transferidos pasivamente
y exhibir una actividad neutralizante y
protectora [2]. Cuando existe transmisión vertical, se encuentra una mayor
tasa de bradiarritmias fetales y asfixia
neonatal [2]. Los dos casos reportados
presentaron arritmias y disfunción miocárdica que se resolvieron con la administración de Ig.
El diagnóstico se realiza con base
en los signos y síntomas clínicos y el
nexo epidemiológico, y se confirma por
criterios de laboratorio. El diagnóstico
de laboratorio se hace mediante la detección del virus, del ARN viral y de
anticuerpos específicos [12]. El principal hallazgo de laboratorio es linfopenia, cuando el recuento de linfocitos es
menor de 1000/mm3. Este hecho no se
observó en los casos presentados. Otras
anomalías de laboratorio incluyen trombocitopenia, alteración de la función
hepática y alteraciones hidroelectrolíticas, como hipocalcemia [12]. El diagnóstico de laboratorio de la infección
por chikunguña se basa en dos tipos
de pruebas: la detección de ARN viral
mediante la transcripción inversa de la
cadena de polimerasa específica e IgM
específica para el virus. En ambos casos
se demostró la presencia de la infección
aguda con reacción en cadena de la polimerasa para el virus. La transcripción
inversa de la cadena de polimerasa es
positiva durante la fase de viremia y la
semana después del comienzo de los
síntomas. Los anticuerpos específicos
IgM son detectados al quinto día de la
aparición de la enfermedad y pueden
persistir hasta tres meses, mientras que
la IgG específica aparece en el día 15 y
permanece por años [12]. La IgG persiste de por vida, sin conferir una protección duradera con seguridad [6].
En uno de los dos casos reportados
se observó que los recién nacidos expuestos no fueron sintomáticos al nacer, con aparición de síntomas antes del
séptimo día, por lo que se recomienda
mantenerlos en estancia hospitalaria al
menos una semana, mientras se toman
los exámenes paraclínicos [2]. Como
consecuencia del reciente aumento y
distribución del vector en todo el mundo [10], el chikunguña tiene el potencial
de causar brotes masivos en el futuro y de transformarse en un problema
de salud pública; además, en pediatría
representa un papel fundamental en el
Silvia Catalina Corrales Martínez et al. Infección por chikunguña materno-fetal asociada con miocarditis neonatal
247
riesgo de transmisión materno-fetal,
donde se debe hacer diagnóstico y tratamiento temprano, dado la afectación
multisistémica, que puede generar esta
infección. En ambos casos reportados,
se requirió manejo en UCIN, y por los
hallazgos cardiacos, ambos pacientes recibieron manejos adecuados, incluyendo
Ig, que permitió una evolución satisfactoria y una mejoría evidente de la inflamación del miocardio, de los parámetros
hemodinámicos, así como la resistencia
vascular sistémica y el gasto cardíaco con
el uso de la inmunomodulación [8].
mother-to-child chikungunya virus infections on the island of La Réunion. PLoS
Med. 2008;5(3):0413-23.
3.
Laoprasopwattana K, Suntharasaj T, Petmanee P, Suddeaugrai O, Geater a. Chikungunya and dengue virus infections during
pregnancy: seroprevalence, seroincidence
and maternal-fetal transmission, southern
Thailand, 2009-2010. Epidemiol Infect
[Internet]. 2015;1-8. Disponible en: http://
www.journals.cambridge.org/abstract_
S0950268815001065
4.
Gérardin P, Sampériz S, Ramful D, Boumahni B, Bintner M, Alessandri JL, et al.
Neurocognitive outcome of children exposed to perinatal mother-to-child chikungunya virus infection: The CHIMERE Cohort
Study on Reunion Island. PLoS Negl Trop
Dis. 2014;8(7).
5.
Shrivastava A, Waqar Beg M, Gujrati C,
Gopalan N, Rao PVL. Management of a
vertically transmitted neonatal Chikungunya thrombocytopenia. Indian J Pediatr.
2011;78(8):1008-9.
6.
Ramful D, Carbonnier M, Pasquet M, Bouhmani B, Ghazouani J, Noormahomed T, et
al. Mother-to-child transmission of Chikungunya virus infection. Pediatr Infect Dis J.
2007;26(9):811-5.
7.
Ramful D, Samperiz S, Fritel X, Michault
a., Jaffar-Bandjee M-C, Rollot O, et al. Antibody kinetics in infants exposed to chikungunya virus infection during pregnancy
reveals absence of congenital infection. J
Infect Dis [Internet]. 2014;209(11):172630. Disponible en: http://jid.oxfordjournals.
org/lookup/doi/10.1093/infdis/jit814
8.
Pollack A, Kontorovich AR, Fuster V,
Dec GW. Viral myocarditis—diagnosis,
treatment options, and current controversies. Nat Rev Cardiol [Internet]. 2015;1-12.
Disponible en: http://www.nature.com/
doifinder/10.1038/nrcardio.2015.108
Agradecimientos
Agradecemos al personal de la Unidad
de Cuidados Intensivos Neonatales del
Hospital Universitario Hernando Moncaliano Perdomo, de Neiva, Colombia,
por su colaboración.
Conflictos de interés
Los autores no registran conflictos de
interés.
Referencias
1.
2.
Lum F-M, Ng LFP. Cellular and molecular mechanisms of chikungunya
pathogenesis. Antiviral Res [internet].
2015;120:165-74. Disponibl en: http://
linkinghub.elsevier.com/retrieve/pii/
S0166354215001400
Gérardin P, Barau G, Michault A, Bintner M, Randrianaivo H, Choker G, et al.
Multidisciplinary prospective study of
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9.
Durani Y, Giordano K, Goudie
BW. Myocarditis and pericarditis
in children. Pediatr Clin North Am
[Internet]. 2010;57(6):1281-303. Disponible en: http://dx.doi.org/10.1016/j.
pcl.2010.09.012
10. Weaver SC, Lecuit M. Chikungunya virus
and the global spread of a mosquito-borne
disease. N Engl J Med. 2015;372:12311239. doi: 10.1056/NEJMra1406035
11. Fritel X, Rollot O, Gérardin P, Gaüzère
BA, Bideault J, Lagarde L, et al. Chikungunya virus infection during pregnancy,
Réunion, France, 2006. Emerg Infect Dis.
2010;16(3):418-25.
12. Jaramillo Restrepo BN. Infección por el
virus del chikungunya. Rev CES Med [internet]. 2014;28(2):313-23. Disponible
en: http://www.scielo.org.co/pdf/cesm/
v28n2/v28n2a16.pdf
Correspondencia
Silvia Catalina Corrales Martínez
catalinasc.corrales@gmail.com
Silvia Catalina Corrales Martínez et al. Infección por chikunguña materno-fetal asociada con miocarditis neonatal
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https://openalex.org/W2045398367
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https://zenodo.org/records/1259889/files/article.pdf
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English
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GCF2: expression and molecular analysis of repression
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Biochimica et biophysica acta, N. Gene structure and expression/Biochimica et biophysica acta. Gene structure and expression
| 2,003
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public-domain
| 7,310
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0167-4781/$ - see front matter. Published by Elsevier B.V.
doi:10.1016/S0167-4781(03)00156-8
* Corresponding author. Tel.: +1-301-496-3224; fax: +1-301-480-
4667.
E-mail address: acjohnson@nih.gov (A.C. Johnson). Abstract GC-binding factor 2 (GCF2) is a transcriptional repressor that decreases activity of the epidermal growth factor receptor (EGFR) and other
genes. We have mapped the gene for GCF2 by fluorescence in situ hybridization (FISH) to chromosome 2q37. Sequence analysis of the
GCF2 gene and cDNA showed that the gene consists of eight exons and introns and spans 73 kbp of DNA. Northern blot analysis showed
that GCF2 mRNA was differentially expressed in many human tissues and cell lines. GCF2 mRNA was expressed as a 4.2 kb mRNA in most
human tissues with the highest expression level in peripheral blood leukocytes and lowest expression in brain and testis. Additional
transcripts of 6.6, 2.9 and 2.4 kb were found in some tissues but the only transcript detected in cancer cell lines was 4.2 kb with high levels
found in seven Burkitts’ lymphoma cell lines. Western blot analysis showed that GCF2 protein is present at high levels in Burkitts’
lymphoma and several other cancer cell lines. GCF2 was found in both nuclear and cytoplasmic compartments in cells. Deletion mutants of
GCF2 revealed that amino acids 429–528 are required for both DNA binding and repression of the EGFR promoter. Furthermore, GCF2 was
able to substantially decrease activator protein 2 (AP2) enhancement of the EGFR promoter. Thus, GCF2 is a transcriptional repressor
overexpressed in cancer cell lines with a role in regulating expression of the EGFR. Published by Elsevier B.V. Keywords: Epidermal growth factor receptor; Transcription; Repression; Promoter; Lymphoma GCF2: expression and molecular analysis of repression Toshiki Rikiyamaa, Joseph Curtisa, Masaya Oikawaa, Drazen B. Zimonjicb,
Nicholas Popescub, Barbara A. Murphya, Melissa A. Wilsona, Alfred C. Johnsona,*
aLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health,
Room 5002, Building 37, 37 Convent Drive MSC-4264, Bethesda, MD 20892-4264, USA
bLaboratory of Experimental Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health,
Room 5002, Building 37, 37 Convent Drive MSC-4264, Bethesda, MD 20892-4264, USA Received 9 May 2003; received in revised form 10 July 2003; accepted 17 July 2003 www.bba-direct.com 1. Introduction In addition to the EGFR promoter,
GCF2 is also able to repress the activity of the Rous
sarcoma virus (RSV) and simian virus 40 (SV40) promoters. Cells treated with phorbol esters demonstrate an inverse
correlation of GCF2 mRNA and EGFR mRNA expression. In this study, we have initiated characterization of the
GCF2 gene and its expression in human tissues and cancer
cell lines. We further characterized GCF2 with respect to
chromosomal and cellular localization and expression pat-
tern in normal tissues and cancer cell lines. Using deletion
mutants of GCF2, we have identified the region required for
binding and repression. Furthermore, we determined that
GCF2 is able to partially inhibit AP2 enhancement of EGFR
promoter activity. identity (305/309) in this region. The deduced protein
sequence has a calculated molecular weight of 83 kDa but
migrates as a 160 kDa protein when subjected to sodium
dodecyl sulfate polyacrylamide gel electrophoresis (SDS-
PAGE). GCF2 binds to a specific site in the EGFR promoter
and represses transcription of the gene. When the GCF2
binding site in the promoter is mutated, the EGFR promoter
is no longer repressed by GCF2, correlating GCF2 binding
and repression [26]. In addition to the EGFR promoter,
GCF2 is also able to repress the activity of the Rous
sarcoma virus (RSV) and simian virus 40 (SV40) promoters. Cells treated with phorbol esters demonstrate an inverse
correlation of GCF2 mRNA and EGFR mRNA expression. or mutants/His were transformed to BL21 cells (Promega,
Madison, WI) and correct clones were used to inoculate
cultures of LB-ampicillin plus glucose and induced with
IPTG (1 mM final concentration) at A600 = 0.7. The GST/
GCF2 and mutants/His fusion proteins were obtained by
batch purification with GST-Sepharose according to the
manufacturer’s instructions and were subjected to a second
purification using Ni-NTA resin. Protein concentrations
were determined using the Bio-Rad protein assay kit
(Bio-Rad Laboratories, Hercules, CA). The purity and size
of the mutant proteins were verified by SDS-PAGE and
Coomassie staining. For antibody production, the GST–GCF2 fusion protein
prepared from IPTG induced cells was dialyzed against
saline and used to inoculate rabbits. Antiserum was raised
in New Zealand rabbits and tested for its ability to immu-
noprecipitate GCF2 made in vitro. The crude antiserum was
subjected to protein A chromatography using ImmunoPure
immobilized Recomb Protein A according to the manufac-
turer’s protocol (Pierce, Rockford, IL). 2.1. Chromosomal localization A genomic clone in a BAC vector was obtained from
CHORI (Oakland, CA). The presence of the GCF2 gene
was confirmed by PCR analysis with primers specific for
the GCF2 cDNA. A 75-kbp-long GCF2 probe was labeled
with biotin or digoxigenin (Random Primed DNA Labeling
Kit, Boehringer-Mannheim, Indianapolis, IN), and used for
in situ hybridization of human chromosomes derived from
methotrexate-synchronized normal peripheral lymphocyte
cultures. The conditions of hybridization, the detection of
hybridization signals, digital-image acquisition, processing
and analysis as well as the procedure for direct visualization
of fluorescent signals on banded chromosomes were carried
out as previously described [27]. 2. Materials and methods From cultured cells, total RNA was isolated by guanidi-
nium–thiocyanate–phenol–chloroform extraction [28]. Poly (A)+ RNA was selected from the total RNA population
by oligo (dT)-cellulose chromatography [29]. RNA was
fractionated on a 1% formaldehyde–agarose gel and trans-
ferred to nitrocellulose [30]. RNA was UV crosslinked to
the nitrocellulose filter, prehybridized, hybridized and
washed as previously described [31]. Labeled cDNA probes
were prepared by random primer extension of PCR gener-
ated fragments [32]. Tissue and cancer cell line blots were
purchased (Clontech, Palo Alto, CA) and probed according
to manufacturer’s instructions. 1. Introduction The eluted IgG
fraction was adjusted to 0.3 mg/ml with bovine serum
albumin and dialyzed against phosphate buffered saline. In this study, we have initiated characterization of the
GCF2 gene and its expression in human tissues and cancer
cell lines. We further characterized GCF2 with respect to
chromosomal and cellular localization and expression pat-
tern in normal tissues and cancer cell lines. Using deletion
mutants of GCF2, we have identified the region required for
binding and repression. Furthermore, we determined that
GCF2 is able to partially inhibit AP2 enhancement of EGFR
promoter activity. 1. Introduction well-characterized transcription factors bind to the promoter
region and influence transcription including specificity
protein 1 (Sp1), AP2, p53, and Wilms’ Tumor (WT1)
[13–18]. The p53 homologue p63 has also been shown to
regulate EGFR expression [19]. Less characterized tran-
scription factors are also implicated in EGFR gene regula-
tion [11,20–22]. Also, two repressors that bind to GC-rich
sequences bind to the EGFR promoter [23,24]. More
recently, a role for the early growth response gene (Egr-1)
in upregulation of EGFR expression during hypoxia has
been determined [25]. The epidermal growth factor receptor (EGFR) must be
correctly regulated to ensure proper cell growth. Overex-
pression of the receptor is found in many tumors and cancer
cell lines [1,2]. Overexpression occurs by gene amplifica-
tion with or without gene rearrangement. Overexpression of
EGFR in breast cancer correlates with failure on endocrine
therapy [3,4]. The EGFR is considered a marker for cell
transformation, and therefore it is an attractive target for
clinical intervention [5,6]. High-level expression is also seen
when there is no amplification in many cancer cell lines [7]. A 3.6 kbp cDNA that lacks a portion of the 3V untrans-
lated sequences was cloned and corresponds to a 4.2 kb
mRNA. This cDNA was termed GC-binding factor 2
(GCF2) based on its homology to GC-binding factor
(GCF) [26]. Characterization of this cDNA revealed a
region of homology with GCF that includes the amino
terminal (DNA binding) region and the 5V untranslated
region. The homology extends for 309 bp and has 98% The regulatory region of the EGFR gene has been cloned
and characterized [8–11]. Mechanisms have been proposed
for regulation of the EGFR gene in breast cancer [12]. Many 0167-4781/$ - see front matter. Published by Elsevier B.V. doi:10.1016/S0167-4781(03)00156-8 T. Rikiyama et al. / Biochimica et Biophysica Acta 1629 (2003) 15–25 16 identity (305/309) in this region. The deduced protein
sequence has a calculated molecular weight of 83 kDa but
migrates as a 160 kDa protein when subjected to sodium
dodecyl sulfate polyacrylamide gel electrophoresis (SDS-
PAGE). GCF2 binds to a specific site in the EGFR promoter
and represses transcription of the gene. When the GCF2
binding site in the promoter is mutated, the EGFR promoter
is no longer repressed by GCF2, correlating GCF2 binding
and repression [26]. 2.4. In vitro transcription/translation and
immunoprecipitation (B) Exon/intron structure of GCF2 with amino acids encoded by each exon. Fig. 1. Chromosomal localization and gene structure of GCF2. (A) Chromosome localization of the GCF2 gene by FISH. Digital image of a metaphase derived
from methotrexate-synchronized normal human peripheral leukocytes after hybridization with GCF2 probe and DAPI counterstaining. Both chromosomes 2
have signals on of the long arm of chromosome 2 at band q36-37. (B) Exon/intron structure of GCF2 with amino acids encoded by each exon. for 1 h. The gel was fixed in 20% methanol/10% acetic acid,
immersed in Enlightningk (Perkin-Elmer, Boston, MA) for
30 min, dried and exposed to film at 80 jC. for 1 h. The gel was fixed in 20% methanol/10% acetic acid,
immersed in Enlightningk (Perkin-Elmer, Boston, MA) for
30 min, dried and exposed to film at 80 jC. at 37 jC for 10 min and samples centrifuged at
12,000 g for 5 min. The supernatant was collected and
protein determination made using the Bio-Rad reagent. Cell fractionation was performed as described by Dyer
and Herzog [34]. Briefly, cells were pelleted and resus-
pended in sucrose buffer containing NP-40. The lysate
was centrifuged at 500 g to pellet nuclei. The superna-
tant was taken and processed to isolate cytoplasmic
proteins. The pellet was resuspended in sucrose buffer,
washed with a low salt buffer and lysed in high salt 2.4. In vitro transcription/translation and
immunoprecipitation The open reading frame of GCF2 was amplified by the
polymerase chain reaction (PCR) and subcloned into pCI-
TE2A (Novagen, Madison, WI). GCF2 was synthesized in
vitro into the presence of 35S-methionine with the coupled
transcription translation system (TNT) from Promega. The in
vitro prepared proteins were analyzed on SDS-polyacryl-
amide gels [33]. To test the GCF2 antiserum, in vitro
translated products (10 Al) were incubated with GCF2
antiserum (20 Al) on ice in RIPA buffer (100 Al) of for 3 h. Fifty microliters of a 10% suspension of Staphylococcus
aureus was added and incubation continued for 30 min. The
samples were pelleted and washed four times with RIPA
buffer. The samples were resuspended in 20 Al SDS gel
loading buffer, boiled for 3 min, loaded onto a 6% SDS
polyacrylamide gel and subjected to electrophoresis at 200 V 2.2. Expression of GCF2 fusion proteins and antibody
generation Plasmid pGST/His was prepared by ligation of the
BamHI and EcoRI fragment from pQE60, which contains
several restriction sites and 6xHis, into pGEX-1ET (Amer-
sham, Piscataway, NJ). The full-length GCF2 cDNA
except stop codon was subcloned into the BamHI and
XbaI sites of pGST/His to generate pGST/GCF2/His, all
other pGST/GCF2 mutants/His were amplified by PCR
and subcloned into pGST/His in the same way. Plasmid
DNAs were sequenced using the Applied Biosystem model
373A sequencer to confirm that the fusion was in frame
and that no mutations were present. Plasmid pGST/GCF2 17 T. Rikiyama et al. / Biochimica et Biophysica Acta 1629 (2003) 15–25 for 1 h The gel was fixed in 20% methanol/10% acetic acid
at 37 jC for 10 min and samples
Fig. 1. Chromosomal localization and gene structure of GCF2. (A) Chromosome localization of the GCF2 gene by FISH. Digital image of
from methotrexate-synchronized normal human peripheral leukocytes after hybridization with GCF2 probe and DAPI counterstaining. B
have signals on of the long arm of chromosome 2 at band q36-37. (B) Exon/intron structure of GCF2 with amino acids encoded by ea
y
p y
(
) Fig. 1. Chromosomal localization and gene structure of GCF2. (A) Chromosome localization of the GCF2 gene by FISH. Digital image of a metaphase derived
from methotrexate-synchronized normal human peripheral leukocytes after hybridization with GCF2 probe and DAPI counterstaining. Both chromosomes 2
have signals on of the long arm of chromosome 2 at band q36-37. 2.6. Western blotting Protein extracts were subjected to gel electrophoresis on
a 6% SDS-PAGE. The proteins were transferred to nitro-
cellulose and the nitrocellulose incubated in TPBS for 30
min. The GCF2 antiserum was added and incubation
continued for 1 h at 37 jC. The nitrocellulose was washed
three times with TPBS and the blot developed using the
VectaStain ABC method according to the manufacturer’s
protocol or the ECL plus detection kit (Amersham). 2.5. Preparation of cell lysates and cell fractionation Cells were harvested by scraping or centrifugation and
resuspended in TD buffer at 106 cells per 100 Al. The
cells were subjected to three cycles of freeze/thaw fol-
lowed by sonication for 30 s. The samples were incubated 18 T. Rikiyama et al. / Biochimica et Biophysica Acta 1629 (2003) 15–25 Fig. 2. GCF2 mRNA expression in normal human tissues. Northern hybridization analysis was performed using tissue RNA blots purchased from Clontech. A
radiolabeled 1.1 kbp GCF2 cDNA fragment was hybridized according to Clontech’s protocol. The tissues from which the RNAs were obtained are indicated
above the figure. Sizes of hybridizing GCF2 RNAs are on the left of the figure. Results from reprobing the blot with actin are shown below the figure. Fig. 2. GCF2 mRNA expression in normal human tissues. Northern hybridization analysis was performed using tissue RNA blots purchased from Clontech. A
radiolabeled 1.1 kbp GCF2 cDNA fragment was hybridized according to Clontech’s protocol. The tissues from which the RNAs were obtained are indicated
above the figure. Sizes of hybridizing GCF2 RNAs are on the left of the figure. Results from reprobing the blot with actin are shown below the figure. buffer. A nuclear extract was produced and stored at 80
jC. For phorbol ester experiments, nuclear extracts were
prepared from cells treated with DMSO (control) or PMA
(40 ng/ml for 2 h) by the method of Dignam et al. [35]. otide was end-labeled with P-32 using T4 polynucleotide
kinase and gamma ATP. For the gel shift analysis, the end-
labeled double-stranded oligonucleotide was incubated with
GCF2-His and/or AP2 at room temperature (23 jC) for 15
min in the presence of 10 mM Tris pH 7.5, 1 mM MgCl2,
0.5 mM EDTA, 0.5 mM DTT, 50 mM NaCl, 50 Ag/ml poly
(dI–dC)(poly dI–dC) and 4% glycerol. Samples (10 Al)
were loaded onto a 5% polyacrylamide gel and subjected to
electrophoresis at 150 V for 2 h using 0.5 TBE (1
TBE = 89 mM Tris, 8 mM boric acid and 2 mM EDTA, pH
8.3) as running buffer. After electrophoresis, gels were
transferred to Whatman 3 MM paper and exposed to Kodak
XAR film with intensifying screens at 70 jC. 2.7. Electrophoretic mobility shift assay NIH3T3 (2 105) cells grown in triplicate in 35-mm-
diameter wells were transfected with the expression vectors
by lipofectamine (Invitrogen). The EGFR luciferase reporter
construct (pER1-Luc) containing the EGFR promoter was
prepared by ligation of the 1.1 kbp HindIII promoter
fragment from pEGFR-CAT1 into pGL3-Basic (Promega). The reporter plasmid (0.1 Ag) was cotransfected with the
indicated amount of expression vectors. DNA concentration
was kept constant by addition of herring sperm DNA. Cells
were harvested 24 h after transfection and cell extracts
prepared according to the protocol from Analytical Lumi-
nescence Laboratory (San Diego, CA). All luciferase activ-
ities were normalized for protein concentration and Mobility shift assays were performed as described pre-
viously [13]. A double-stranded oligonucleotide containing
the GCF2 binding site was prepared by annealing two
complementary oligonucleotides containing nucleotides
249 to 229 of the EGFR promoter in a buffer contain-
ing 10 mM Tris, pH 8.0, 500 mM NaCl and 1 mM EDTA. Equimolar amounts of the complementary oligonucleotides
were mixed in a 1.5 ml Eppendorf centrifuge tube and
placed in a heat block at 95 jC. The heat block was allowed
to cool to room temperature and the sample was desalted on
a G-25 Sephadex column. The double-stranded oligonucle- 19 T. Rikiyama et al. / Biochimica et Biophysica Acta 1629 (2003) 15–25 NA expression in cancer cell lines. (A) Northern hybridization analysis was performed using the cancer cell line RNA blot from Clontech. A
bp GCF2 cDNA fragment was hybridized according to Clontech’s protocol. The names of the cell lines and type of cancers from which they
indicated. RNA marker sizes are indicated on the left. (B) GCF2 mRNA expression in Burkitts’ lymphoma cell lines. Northern blot analysis
in A with RNA isolated from seven Burkitts’ lymphoma cell lines (lanes 2–7). RNA from D551, a normal human fibroblast cell line, was
Actin levels did not significantly change for any of the samples (data not shown). (C) GCF2 mRNA expression in breast cancer cell lines. ysis was performed as in A with RNA isolated from eight breast cancer cell lines. Actin levels did not significantly change for any of the
shown). Fig. 3. GCF2 mRNA expression in cancer cell lines. (A) Northern hybridization analysis was performed using the cancer cell line RNA blot from Clontech. A
radiolabeled 1.1 kbp GCF2 cDNA fragment was hybridized according to Clontech’s protocol. 2.7. Electrophoretic mobility shift assay The names of the cell lines and type of cancers from which they
were obtained are indicated. RNA marker sizes are indicated on the left. (B) GCF2 mRNA expression in Burkitts’ lymphoma cell lines. Northern blot analysis
was performed as in A with RNA isolated from seven Burkitts’ lymphoma cell lines (lanes 2–7). RNA from D551, a normal human fibroblast cell line, was
present in lane 1. Actin levels did not significantly change for any of the samples (data not shown). (C) GCF2 mRNA expression in breast cancer cell lines. Northern blot analysis was performed as in A with RNA isolated from eight breast cancer cell lines. Actin levels did not significantly change for any of the
samples (data not shown). transfection efficiency using B-galactosidase. All experi-
ments were performed in triplicate. somes 2. This signal was localized on DAPI counterstained
metaphases at the region 2q36-37, where we assign the
location of the GCF2 gene (Fig. 1A). The cDNA sequence
for GCF2 was compared to the human genome sequence
using Blast (National Center for Biotechnology Information,
Bethesda, MD). The GCF2 cDNA matched sequences
located at chromosome 2q37. The comparative analysis
revealed the presence of eight exons and seven introns
(Fig. 1B). Exon 8 is the largest and encodes for 511 of
the 752 amino acids. 3. Results (A) In vitro translated GCF2, prepared by coupled transcription/translation, was
immunoprecipitated with antiserum from rabbits immunized with a GST-GCF2 fusion protein or with preimmune serum from the same rabbit. The
immunoprecipitated products were analyzed on a 6% SDS-polyacrylamide gel. Lanes: (1) Translation products without DNA; (2) total translation products
using GCF2 DNA; (3) immunoprecipitation with preimmune serum; and (4) immunoprecipitation with GCF2 antiserum. Molecular weight markers are shown. (B) Total protein extracts were prepared from cell lines indicated above the blot and subjected to electrophoresis on a 6% SDS-polyacrylamide gel. Proteins
were transferred to nitrocellulose and GCF2 detected using the IgG fraction from the antiserum. Fig. 4. Characterization of GCF2 antiserum and Western blot analysis. (A) In vitro translated GCF2, prepared by coupled transcription/translation, was
immunoprecipitated with antiserum from rabbits immunized with a GST-GCF2 fusion protein or with preimmune serum from the same rabbit. The
immunoprecipitated products were analyzed on a 6% SDS-polyacrylamide gel. Lanes: (1) Translation products without DNA; (2) total translation products
using GCF2 DNA; (3) immunoprecipitation with preimmune serum; and (4) immunoprecipitation with GCF2 antiserum. Molecular weight markers are shown. (B) Total protein extracts were prepared from cell lines indicated above the blot and subjected to electrophoresis on a 6% SDS-polyacrylamide gel. Proteins
were transferred to nitrocellulose and GCF2 detected using the IgG fraction from the antiserum. RNA from all seven lines we examined (Fig. 3B). Again,
only the 4.2 kb mRNA was detected. addition to the 4.2 kb mRNA, some tissues expressed a 2.4
and/or a 2.9 kb mRNAs. Brain and testis showed very little
expression of the 4.2 kb mRNA although other tissues
except heart and skeletal muscle had an abundant amount. Heart and skeletal muscle both predominantly expressed a
2.9 kb mRNA. Peripheral blood leukocytes expressed very
high levels of the 4.2 kb mRNA but also two larger RNAs
of approximately 6.6 and 9 kb. The 2.4 kb mRNA was
expressed highest in ovary, colon and small intestine. We
next examined expression of GCF2 mRNA in various
cancer cell lines (Fig. 3A). Unlike normal tissues, only the
4.2 kb mRNA was detected. The highest level of GCF2
mRNA was found in Raji cells derived from a Burkitts’
lymphoma. Leukemia and epidermoid cancer cell lines
expressed relative lower levels of GCF 2 mRNA. We
examined additional Burkitts’ lymphoma cell lines for
GCF2 mRNA. 3. Results Chromosome preparations obtained from cultured pe-
ripheral lymphocytes derived from two healthy donors were
hybridized with a GCF2 probe. The majority, if not all of the
metaphases with informative signal and a minimal nonspe-
cific background, had symmetrical fluorescent signal on the
terminal band of the long arm of chromosome 2, the largest
submetacentric chromosome readily identifiable by size. Thirty labeled chromosome spreads recorded from both
samples exhibited signal at the same site on both chromo- Since GCF2 acts to repress EGFR promoter activity, we
were prompted to examine the expression of this gene in
normal tissues and cancer cell lines. Northern blot hybrid-
ization was used to detect GCF2 mRNA. As shown in Fig. 2, GCF2 mRNA expression varied in normal tissues. In erization of GCF2 antiserum and Western blot analysis. (A) In vitro translated GCF2, prepared by coupled transcription/translation, was
tated with antiserum from rabbits immunized with a GST-GCF2 fusion protein or with preimmune serum from the same rabbit. The
tated products were analyzed on a 6% SDS-polyacrylamide gel. Lanes: (1) Translation products without DNA; (2) total translation products
NA; (3) immunoprecipitation with preimmune serum; and (4) immunoprecipitation with GCF2 antiserum. Molecular weight markers are shown. n extracts were prepared from cell lines indicated above the blot and subjected to electrophoresis on a 6% SDS-polyacrylamide gel. Proteins
d to nitrocellulose and GCF2 detected using the IgG fraction from the antiserum. T. Rikiyama et al. / Biochimica et Biophysica Acta 1629 (2003) 15–25 20 T. Rikiyama et al. / Biochimica et Biophysica Acta 1629 (2003) 15–25 Fig. 4. Characterization of GCF2 antiserum and Western blot analysis. (A) In vitro translated GCF2, prepared by coupled transcription/translation, was
immunoprecipitated with antiserum from rabbits immunized with a GST-GCF2 fusion protein or with preimmune serum from the same rabbit. The
immunoprecipitated products were analyzed on a 6% SDS-polyacrylamide gel. Lanes: (1) Translation products without DNA; (2) total translation products
using GCF2 DNA; (3) immunoprecipitation with preimmune serum; and (4) immunoprecipitation with GCF2 antiserum. Molecular weight markers are shown. (B) Total protein extracts were prepared from cell lines indicated above the blot and subjected to electrophoresis on a 6% SDS-polyacrylamide gel. Proteins
were transferred to nitrocellulose and GCF2 detected using the IgG fraction from the antiserum. Fig. 4. Characterization of GCF2 antiserum and Western blot analysis. 3. Results High-level expression was detected in To examine protein expression of GCF2, an antiserum
was raised against a GST–GCF2 fusion protein. The
antiserum was tested by immunoprecipitation of in vitro
translated GCF2 (Fig. 4A). Antiserum but not preimmune
serum was able to specifically immunoprecipitate GCF2. The IgG fraction of the antiserum was purified by protein A
Sepharose chromatography and used in Western blotting
experiments to detect GCF2 expression in cells (Fig. 4B). GCF2 was detected as a 160 kDa protein and was found
expressed at high levels in A498 cells (derived from a
kidney carcinoma), A549 cells (derived from a lung carci-
noma), AGS cells (derived from a gastric adenocarcinoma)
and U118MG cells (derived from a glioblastoma). To determine the location of GCF2 within the cell,
Western blotting was performed with nuclear and cytosolic 21 T. Rikiyama et al. / Biochimica et Biophysica Acta 1629 (2003) 15–25 tion of GCF2. (A) HUT 102 cells were fractionated into nuclear and cytosolic components as presented in Materials and methods. ubjected to Western blot analysis with GCF2 antiserum. Lanes: (1) GCF2 His fusion protein as a control; (2) total protein extract; (3)
(4) nuclear fraction. (B) A431 cells were fractionated into nuclear and cytosolic components as presented in Materials and methods. bjected to Western blot analysis with GCF2 antiserum. Nuc = nuclear, Cyt = cytosolic. (C) Nuclear extract were prepared from the cell
gure after treatment with or without PMA. Western blot analysis was performed using GCF2 antibody. Fig. 5. Cellular localization of GCF2. (A) HUT 102 cells were fractionated into nuclear and cytosolic components as presented in Materials and methods. Protein extracts were subjected to Western blot analysis with GCF2 antiserum. Lanes: (1) GCF2 His fusion protein as a control; (2) total protein extract; (3)
cytosolic fraction; and (4) nuclear fraction. (B) A431 cells were fractionated into nuclear and cytosolic components as presented in Materials and methods. Protein extracts were subjected to Western blot analysis with GCF2 antiserum. Nuc = nuclear, Cyt = cytosolic. (C) Nuclear extract were prepared from the cell
lines listed above the figure after treatment with or without PMA. Western blot analysis was performed using GCF2 antibody. fractions prepared from HUT-102 cells that express high
levels of GCF2. The majority of GCF2 was found in the
nuclear fraction but some GCF2 was detected in the cytosol
(Fig. 5A). 3. Results In A431 cell, GCF2 is distributed almost equally
in nuclear and cytosolic fractions (Fig. 5B). We had previ-
ously shown that GCF2 levels decreased when EGFR
expression increased due to phorbol ester treatment of cells. We examined the consequence of phorbol ester treatment on
GCF2 cellular location. Nuclear extracts from Raji, Hela
and K562 cells were examined for GCF2 nuclear expres-
sion. All nuclear extracts showed decreased GCF2 nuclear
expression after phorbol ester treatment (40 ng/ml for 2 h)
(Fig. 5C). GCF2 represses EGFR transcriptional activity by
binding to a specific site in the promoter. To determine the
region of GCF2 required for binding and repression of
promoter activity, we performed electrophoretic mobility
shift assays and cotransfection experiments with deletion
mutants of GCF2. GCF2 deletion mutants that contained
amino acids 428–752 (lanes 2–5 and 12) were able to bind
the GCF2 binding site located in the EGFR promoter
whereas deletion mutants that contained amino acids 529– 752 (lane 6) could not (Fig. 6). A GCF2 deletion mutant
expressing amino acids 429–528 was also able to bind the
GCF2 binding site oligonucleotide (lane 18). Consistent
with the hypothesis that GCF2 binding is required for
repression, cotransfection assays showed that amino acids
429–528 were necessary for full repression of EGFR
promoter activity (Fig. 7). Whereas full-length GCF2 re-
duced EGFR promoter greater than 80%, GCF2 429–528
reduced activity by greater than 70%, indicating the require-
ment of this region for DNA binding and repression. We observed that the GCF2 binding site from 249 to
233 in the EGFR promoter overlapped with an AP2
binding site located 253 to 232. We used cotransfec-
tion experiments to determine if GCF2 could inhibit AP2
enhancement of the EGFR promoter. Transfections of
NIH3T3 cells with increasing concentrations of an AP2
expression vector increased EGFR promoter activity in a
dose-dependent manner. Conversely, transfection with a
GCF2 expression vector decreased EGFR promoter activity
in a dose-dependent manner. Cotransfection with AP2 and
GCF-2 expression vectors resulted in decreased EGFR 22 T. Rikiyama et al. / Biochimica et Biophysica Acta 1629 (2003) 15–25 Fig. 6. Electrophoretic mobility shift with GCF2 deletion mutants and EGFR GCF2 binding site. The GCF2 binding site oligonucleotide was incubated with
equivalent amounts of GCF2 His proteins (indicated above each lane) and assays performed as described in Materials and methods. The bound area indicates
the region of the shifted bands. 4. Discussion We report here that GCF2 is differentially expressed in
human cell lines and tissues. At least three RNA species
from human tissues hybridized to GCF2 cDNA. The 4.2 kb
mRNA reported previously was found in all tissues exam-
ined with very low levels detected in brain and testis. Fetal
liver, bone marrow, thymus, spleen, lymph node, pancreas,
liver, placenta and kidney expressed the 4.2 kb mRNA as
the predominant species of RNA. Heart and skeletal muscle
had very low levels of the 4.2 kb mRNA but possessed an
abundant level of a 2.9 kb mRNA. In addition, a high level
of a 2.4 kb mRNA was found in RNA from ovary, small
intestine and colon. Peripheral blood leukocytes expressed
not only a high level of the 4.2 kb mRNA but also
significant levels of a 6.6 and a 9 kb mRNA. The relation-
ship between these species of RNA remains to be deter-
mined. In cancer cell lines, the only mRNA that hybridized
to GCF2 cDNA was 4.2 kb. In terms of regulation, GCF2 expression decreases upon
phorbol ester treatment of cells [26]. It is increased, how-
ever, by treatment of PC12 cells with nerve growth factor
[39]. In both of these instances, EGFR expression is
inversely correlated. In cells, the nuclear level of GCF2 is
decreased by factors that activate EGFR expression. This
allows for increased EGFR expression that is returned to
steady state levels as GCF2 levels are increased. We
speculate that posttranslational modifications such as phos-
phorylation may be the trigger for translocation of GCF2
between nuclear and cytoplasmic compartments. GCF2 has been shown to repress transcription of the
EGFR and PDGF-A chain promoters [26,40]. GCF2 binds
to the PDGF-A chain promoter and competes with several
zinc-finger transcription factors. We examined the effect of
expressing both GCF2 and AP2, a known activator of
EGFR expression, in cells. GCF2 partially inhibited AP2
enhancement of EGFR expression. However, the combi-
nation of GCF2 and AP2 did not alter the DNase I
footprint in size or intensity (data not shown). These
results suggest that GCF2 represses EGFR promoter activ-
ity by competition with positive activators such as AP2. In
this report, we have shown that GCF2 requires amino
acids 429–528, which contains a lysine-rich motif, for
repression and DNA binding. The position of the GCF2 gene on chromosome 2 overlaps
with an aphidicholine-inducible common fragile site (FS). Fig. 6. Electrophoretic mobility shift with GCF2 deletion mutants and EGFR GCF2 binding site. The GCF2 binding site oligonucleotide was incubated with
equivalent amounts of GCF2 His proteins (indicated above each lane) and assays performed as described in Materials and methods. The bound area indicates
th
i
f th
hift d b
d Fig. 7. Repression activity of GCF2 deletion mutants. Eukaryotic expression constructs (2 Ag) containing the open reading frame for GCF2 amino acids region
i di
t d t th l ft f th fi
t
f
t d i t NIH3T3
ll
ith ER1 L
d
ib d i M t i l
d
th d
L
if
ti it
d Fig. 7. Repression activity of GCF2 deletion mutants. Eukaryotic expression constructs (2 Ag) containing the open reading frame for GCF2 amino acids regions
indicated to the left of the figure were cotransfected into NIH3T3 cells with pER1 Luc as described in Materials and methods. Luciferase activity was measured
in lysates prepared 24 h after transfection and is expressed relative to the activity of pCDNA3. Activity is corrected for protein concentration and transfection
efficiency. Fig. 7. Repression activity of GCF2 deletion mutants. Eukaryotic expression constructs (2 Ag) containing the open reading frame for GCF2 amino acids regions
indicated to the left of the figure were cotransfected into NIH3T3 cells with pER1 Luc as described in Materials and methods. Luciferase activity was measured
in lysates prepared 24 h after transfection and is expressed relative to the activity of pCDNA3. Activity is corrected for protein concentration and transfection
efficiency. Fig. 7. Repression activity of GCF2 deletion mutants. Eukaryotic expression constructs (2 Ag) containing the open reading frame for GCF2 amino acids regions
indicated to the left of the figure were cotransfected into NIH3T3 cells with pER1 Luc as described in Materials and methods. Luciferase activity was measured
in lysates prepared 24 h after transfection and is expressed relative to the activity of pCDNA3. Activity is corrected for protein concentration and transfection
efficiency. T. Rikiyama et al. / Biochimica et Biophysica Acta 1629 (2003) 15–25 23 Fig. 8. GCF2 inhibits AP2 enhancement of the EGFR promoter. NIH3T3
cells were transfected with pER1 Luc (0.1 Ag) and indicated concentrations
of pRSV AP2 and pCMV GCF2. Activity is relative to the sample
containing no GCF2 or AP2 plasmid. Varying amounts of control vector
was used to keep the amount of DNA constant. drome (2q31-ter), cerebrotendinous xanthomatosis (CTX)
(2q33-ter) and Klein–Waardenburg syndrome (2q35-37) as
well as in alveolar rhabdomyosarcoma with a specific trans-
location t(2;13) [37,38]. Molecular analyses might reveal a
role of GCF2 gene in these diseases. Significantly, in B and T
cell lymphoma cell lines, we detected higher levels of GCF2
expression than in other tumor cell lines. High-level expres-
sion may be associated with chromosomal alterations and
suggests that GCF2 gene is important in pathogenesis of
malignant lymphomas. The level of GCF2 was also high in
kidney, lung, gastric and glioblastomas cancer cell lines with
variable in a panel of breast cancer cell lines. The expression
level of GCF2 may reflect differences in the regulatory
proteins that control GCF2 expression in these cells. GCF2 was found primarily in the nuclear compartment
within the cell but a measurable amount was also cyto-
plasmic. The percentage of GCF2 found in the nuclear or
cytoplasmic fractions was variable within different cell
lines. For example, GCF2 was predominantly in the
nuclear fraction of extracts from prepared from HUT-
102 cells but was equally distributed in A431 cells
(derived from an epidermoid carcinoma) (Fig. 5). Several
protein bands of approximately 160 kDa were reactive
with the GCF2 antibody. We suspect that posttranslational
modifications may be involved in the determination of
cellular location of GCF2. We have shown that phorbol
esters reduce nuclear GCF2 levels in several cell lines. Apparently, GCF2 levels are reduced prior to PMA-
enhanced EGFR expression. This is consistent with a
previous kinetic analysis of GCF2 and EGFR expression
after phorbol ester treatment of cells [26]. Fig. 8. GCF2 inhibits AP2 enhancement of the EGFR promoter. NIH3T3
cells were transfected with pER1 Luc (0.1 Ag) and indicated concentrations
of pRSV AP2 and pCMV GCF2. Activity is relative to the sample
containing no GCF2 or AP2 plasmid. Varying amounts of control vector
was used to keep the amount of DNA constant. promoter activation, indicating that GCF2 repressed AP2-
mediated promoter activation (Fig. 8). Therefore, these
results support a competition for binding model for GCF2
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genomic DNA at FSs, suggesting a causative role for FSs in
cancer [36]. Chromosome abnormalities involving region
2q36-37 have been described in Buschke–Ollendorff syn- T. Rikiyama et al. / Biochimica et Biophysica Acta 1629 (2003) 15–25 24 transcription by phorbol 12-myristate 13-acetate is mediated by acti-
vator protein 2, J. Biol. Chem. 271 (1996) 3033–3038. transcription by phorbol 12-myristate 13-acetate is mediated by acti-
vator protein 2, J. Biol. Chem. 271 (1996) 3033–3038. GCF2 contains 752 amino acids of which 100 appear
involved in DNA binding and repression. The amino
terminal domain contain coil–coil motif with homology to
those found in flightless [41–43]. These domains allow for
protein–protein interaction and thus may provide an addi-
tional activity for GCF2. Further analysis is necessary to
more thoroughly define the mechanism(s) by which GCF2
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Leave No Child Behind: Using Data from 1.7 Million Children from 67 Developing Countries to Measure Inequality Within and Between Groups of Births and to Identify Left Behind Populations
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PLOS ONE PLOS ONE RESEARCH ARTICLE Received: September 12, 2019
Accepted: August 25, 2020
Published: October 14, 2020 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.pone.0238847 Copyright: © 2020 Ramos 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. Leave no child behind: Using data from 1.7
million children from 67 developing countries
to measure inequality within and between
groups of births and to identify left behind
populations Antonio P. RamosID1,2*, Martin J. Flores3, Robert E. WeissID1,2 a1111111111
a1111111111
a1111111111
a1111111111
a1111111111 1 Department of Biostatistics, Fielding School of Public Health, UCLA, Los Angeles, CA, United States of
America, 2 California Center for Population Research, UCLA, Los Angeles, CA, United States of America,
3 Department of General Internal Medicine, UCLA David Geffen School of Medicine, Los Angeles, CA, United
States of America * TOMRAMOS@UCLA.EDU * TOMRAMOS@UCLA.EDU * TOMRAMOS@UCLA.EDU Background Goal 3.2 from the Sustainable Development Goals (SDG) calls for reductions in national
averages of Under-5 Mortality. However, it is well known that within countries these
reductions can coexist with left behind populations that have mortality rates higher than
national averages. To measure inequality in under-5 mortality and to identify left behind
populations, mortality rates are often disaggregated by socioeconomic status within coun-
tries. While socioeconomic disparities are important, this approach does not quantify
within group variability since births from the same socioeconomic group may have differ-
ent mortality risks. This is the case because mortality risk depends on several risk factors
and their interactions and births from the same socioeconomic group may have different
risk factor combinations. Therefore mortality risk can be highly variable within socioeco-
nomic groups. We develop a comprehensive approach using information from multiple
risk factors simultaneously to measure inequality in mortality and to identify left behind
populations. Editor: Bruno Masquelier, University of Louvain,
BELGIUM OPEN ACCESS Citation: Ramos AP, Flores MJ, Weiss RE (2020)
Leave no child behind: Using data from 1.7 million
children from 67 developing countries to measure
inequality within and between groups of births and
to identify left behind populations. PLoS ONE
15(10): e0238847. https://doi.org/10.1371/journal. pone.0238847 Editor: Bruno Masquelier, University of Louvain,
BELGIUM Received: September 12, 2019
Accepted: August 25, 2020
Published: October 14, 2020 Interpretation Competing interests: The authors have declared
that no competing interests exist. While important, differences in under-5 mortality across socioeconomic groups do not
explain most of overall inequality in mortality risk because births from the same socioeco-
nomic groups have different mortality risks. Similarly, policy makers can reach the highest
risk children by targeting births based on several risk factors (socioeconomic status, residing
in rural areas, having a previous death of a child and more) instead of using a single risk fac-
tor such as socioeconomic status. We suggest that researchers and policy makers monitor
inequality in under-5 mortality using multiple risk factors simultaneously, quantifying inequal-
ity as a function of several risk factors to identify left behind populations in need of policy
interventions and to help monitor progress toward the SDG. Findings via the following URL: https://www.dhsprogram. com/data/new-user-registration.cfm. For all countries there is more variability in mortality within socioeconomic groups than
between them. Within countries, socioeconomic membership usually explains less than
20% of the total variation in mortality risk. In contrast, country of birth explains 19% of the
total variance in mortality risk. Targeting the 20% highest risk children based on our model
better identifies under-5 deaths than targeting the 20% poorest. For all surveys, we report
efficiency gains from 26% in Mali to 578% in Guyana. High risk births tend to be births from
mothers who are in the lowest socioeconomic group, live in rural areas and/or have already
experienced a prior death of a child. Funding: The corresponding author, Dr. Antonio
Pedro Ramos, has his worked funded by by the
Eunice Kennedy Shriver National Institute of Child
Health & Human Development of the National
Institutes of Health under Award Number
K99HD088727. The funders of the study had no
role in study design, data collection, data analysis,
data interpretation, or writing of the report. The
corresponding author had full access to all the data
in the study and had final responsibility for the
decision to submit for publication. Methods We use Demographic and Health Surveys (DHS) data on 1,691,039 births from 182 different
surveys from 67 low and middle income countries, 51 of which had at least two surveys. We
estimate mortality risk for each child in the data using a Bayesian hierarchical logistic regres-
sion model. We include commonly used risk factors for monitoring inequality in early life
mortality for the SDG as well as their interactions. We quantify variability in mortality risk
within and between socioeconomic groups and describe the highest risk sub-populations. Data Availability Statement: All relevant data are
available on the Demographic and Health Surveys
website and publicly accessible upon registering 1 / 23 PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 Measure inequality within and between groups of births and to identify left behind populations in LMIC PLOS ONE via the following URL: https://www.dhsprogram. com/data/new-user-registration.cfm. PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 1 Introduction [21, 22] In Burkina Faso, families enrolled in conditional cash
transfer schemes were required to obtain quarterly child growth monitoring at local health
clinics for all children under 60 months of age. [23] In India, the randomized controlled trial
(RCT) Lentils for Vaccines targeted the poor, as do most RCTs that aim to increase vaccine
uptake, good nutrition, or child health more generally [24]. same country [6–10]. Studies have also documented significant under-5 mortality inequities
across other demographic categories such as race, ethnicity, and geographic location [11–13]. Public health policies seeking to reduce inequality in early life mortality often target births Public health policies seeking to reduce inequality in early-life mortality often target births
from an easily defined group with a high average mortality rates, usually the poorest. [9, 14–
19] A recent meta-analysis shows that most targeted interventions aiming to improve maternal
and child health often address economic disparities through various incentive schemes like
conditional cash transfers and voucher schemes. [20] For example, Cash Transfer Programs
(CTP), currently implemented in many low and middle income countries (LMIC), often
improve infant and child health. [21, 22] In Burkina Faso, families enrolled in conditional cash
transfer schemes were required to obtain quarterly child growth monitoring at local health
clinics for all children under 60 months of age. [23] In India, the randomized controlled trial
(RCT) Lentils for Vaccines targeted the poor, as do most RCTs that aim to increase vaccine
uptake, good nutrition, or child health more generally [24]. One important assumption underlying these approaches to measure inequality and target
populations is that most of the variability in mortality risk exists between groups of births, not
within them. If that is the case, (a) comparing average mortality rates between groups provides
us with a complete picture of the inequality in mortality risk faced by children in the popula-
tion and (b) targeting the group with the highest average mortality risk will reach most high
risk births in the population and reduce overall inequalities. However, if the grouping factors
used to monitor inequality have high levels of within-group variation in mortality risk, then
monitoring inequality based solely on between group comparisons will miss most of the vari-
ability in mortality risk and monitors will not be able to identify important left behind popula-
tions that require intervention. 2 Methods Births are the units of our analysis. We first estimate mortality risk for each child in our data
and then we use these estimates as inputs in our subsequent equity analysis. 1 Introduction [7] Using data from India a recent study shows that most of the
variation in mortality risk exists within groups, not between groups, and that program target-
ing based on poverty alone can be inefficient. [25] This makes sense as it is well known that
multiple risk factors are associated with under-5 mortality risk. In this paper we develop a novel framework to monitor disparities in mortality risk and to
identify high risk subpopulations that cannot be identified otherwise. Our novel approach uses
data from several demographic variables and a Bayesian hierarchical model to estimate mortal-
ity risk for each birth in our data set. We use these estimates to investigate within and between
group variability across several commonly used demographic stratifiers that are used to moni-
tor progress toward the SDG’s and make international comparisons in inequality in under-5
mortality. We identify children with the highest mortality risk in the population and show
how to construct a targetable group that contains more deaths than other targetable groups of
the same size that are based on only one risk factor, such as poverty. We identify the groups at
highest risk in each country to gain insight on their needs. Our methodology supports UN rec-
ommendations to disaggregate health indicators by demographic stratifiers to guide inequality
monitoring so that countries can meet SDG targets with equity. We offer a more comprehen-
sive approach that considers the effects of multiple risk factors and their interactions on mor-
tality risk. 1 Introduction Goal 3.2 from the Sustainable Development Goals (SDG) requires reductions in under-5 mor-
tality (http://www.un.org/sustainabledevelopment/health/). However, these reductions can co-
exist with socioeconomic inequalities within countries where some groups have much higher
mortality risk than others. [1] Studies have suggested that some of the Millennium Develop-
ment Goals, which preceded the SDG, have not been achieved within many countries because
of high levels of inequality. [2] Monitoring and reducing inequities in under-5 mortality
requires the identification of births that are at highest risk of death such that policy interven-
tions can target them. [3] The United Nations (UN) General Assembly Resolution 68/261,
which highlights the Sustainable Development Indicators as a central framework for making
progress on reducing early-life mortality, recommends that health indicators should be disag-
gregated, where relevant, by income, sex, age, and other characteristics. [4, 5] Disaggregation
of inequality by several demographic groups has a clear policy implication: leave no one
behind. The literature that monitors progress towards SDG often quantifies gaps in either key
health outcomes, such as neonatal or under-5 mortality, or in the coverage of health services,
such as prenatal care or sanitation. Researchers and policy makers monitor progress toward
SDG by evaluating mortality rates broken down by stratifiers, including wealth quintiles,
rural/urban residence, maternal education, maternal age, gender of the child and geographic
location (see https://www.equidade.org/indicators). [5] Even outside SDG monitoring, equity
based strategies to reduce under-5 mortality usually measure gaps in average mortality rates
between large groups of births, such as births from different socioeconomic groups within the PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 2 / 23 PLOS ONE Measure inequality within and between groups of births and to identify left behind populations in LMIC same country [6–10]. Studies have also documented significant under-5 mortality inequities
across other demographic categories such as race, ethnicity, and geographic location [11–13]. Public health policies seeking to reduce inequality in early-life mortality often target births
from an easily defined group with a high average mortality rates, usually the poorest. [9, 14–
19] A recent meta-analysis shows that most targeted interventions aiming to improve maternal
and child health often address economic disparities through various incentive schemes like
conditional cash transfers and voucher schemes. [20] For example, Cash Transfer Programs
(CTP), currently implemented in many low and middle income countries (LMIC), often
improve infant and child health. 2.2 Estimating mortality risk Mortality risk is a latent variable that must be estimated from data. Given our goal to improve
inequality monitoring of the SDG, we base our estimation on predictors that are commonly
used in studies that quantify progress toward SDG (https://www.equidade.org/indicators):
maternal age, wealth, gender, year of birth, place of residence (urban/rural), maternal educa-
tion in years. The probability density functions (pdf) of the the original wealth index scores do not have a
common range across countries. To make them more comparable across surveys we transform
these pdf’s into cumulative distribution functions (cdf). This approach gives wealth scores
from different countries and surveys a common range, the unit interval (0,1) and makes the
results interpretable in terms of relative wealth, a proxy for socioeconomic status within the
countries. Details of the transformation are given in the appendix. We also include three other variables that are available in DHS surveys and could aid
inequality monitoring and targeting. Geographical locations are well known risk factors for
mortality, as mortality risk tends to be geographically clustered. Using sampling clusters from
DHS in our model allows us to capture unmeasured variables at the local level that were not
otherwise recorded in the data. Further, geographic locations can potentially be targeted by
policy makers. Similarly, we also construct a 0 −1 indicator variable for whether a child was
born to a mother that had already experienced a death of a previous child. Prior death summa-
rizes a number of risk factors at the maternal level that are not measured by existing variables. It is a forward looking variable because it only uses information on prior births to inform risk
for the current birth. In particular, information on future siblings deaths are not used to pre-
dict past deaths and it is coded zero for a mother’s first birth. It is also an actionable risk factor
because policy makers can potentially target births from those mothers, as they are identifiable. Finally, we include birth order, coded as a continuous variable. We estimate child mortality for each birth in our data as a function of these predictors and
their interactions in a Bayesian hierarchical logistic regression model. We fit one model to the
data from each survey. To avoid model misspecification and allow for all important interac-
tions among the risk factors, we include all two-way, three-way, and four-way interaction
terms for all covariates in the model. 2.1 Data sources The data used in this study comes from multiple Demographic and Health Surveys (DHS)
(https://dhsprogram.com/). These are nationally representative surveys that have been 3 / 23 PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 PLOS ONE Measure inequality within and between groups of births and to identify left behind populations in LMIC conducted in more than 100 low and middle income countries since 1984 [26, 27]. We analyze
under-5 mortality and we exclude births that did not occur at least five years prior to the sur-
vey. We exclude all births that happen 10 years or more before the date of the survey to mini-
mize measurement error and censoring issues. The final data set includes information on
1,691,039 births from a total of 182 different surveys from 67 countries, 51 of which had at
least two surveys. 2.2 Estimating mortality risk We include piecewise linear splines to capture non-linear
trends in mortality as a function of the continuous variables. To aid in the estimation and
avoid overfitting, we place increasingly restrictive priors on the variance parameters of the ran-
dom effects for the higher order interaction terms, which shrink effects toward zero. We incor-
porate a location random effect to model differences in risk between births from different
locations. 2.3 Equity analysis We use estimates of the posterior distribution of mortality risk for each child in our data to
feed our equity analysis. We use 1000 Markov Chain Monte Carlo (MCMC) samples from our
model todo so. For the boxplots we use these samples to calculate the expected mortality risk
for each child and then we plot these quantities. 4 / 23 PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 PLOS ONE Measure inequality within and between groups of births and to identify left behind populations in LMIC We use box plots to display the within and between group variability in fitted mortality risk
stratified by the DHS-assigned wealth quintile. We formally quantify how much of the variabil-
ity in mortality risk is explained by the wealth quintiles using a Bayesian ANOVA, which
allows us to get point and interval estimates of the R2. Details of the ANOVA methods are
given in the appendix. Finally, we investigate whether using multiple risk factors simultaneously can help to iden-
tify high risk births that should be targeted by policy interventions. Using the last survey from
each country, we compare how many actual deaths occur among the 20% highest risk births
from our model versus the 20% poorest births based on the wealth CDF variable. Under the
assumption that intervention has the same cost for each birth, we calculate the efficiency gain
in targeting the highest risk births versus the poorest births by dividing the difference in mor-
tality rates between highest risk births and poorest births by mortality rates among the poorest
times 100. We thus define the efficiency gain as ðHRDeaths PoorDeathsÞ
PoorDeaths
100, where “HRDeaths” is
mortality among the 20% highest risk births and “PoorDeaths” is defined as mortality among
the poorest 20% of births. For each survey, we compare births in the high risk group to births
not in the high risk group based on the following covariates: wealth, maternal education,
maternal age, place of residency (urban/rural), whether the birth was born to a mother who
has experienced a prior death of another child. We compare lower and higher mortality risk
groups by using either risk ratios for categorical risk factors or mean risk difference for contin-
uous risk factors. 2.3.1 Incorporating uncertainty in the equity analysis. We use estimates of the posterior
distribution of mortality risk for each child in our data to feed our equity analysis. 2.3 Equity analysis We use
1000 Markov Chain Monte Carlo (MCMC) samples from our model to do so. For the boxplots
we use these samples to calculate the expected mortality risk for each child and then we plot
these quantities. For ANOVA and other tabulations, we calculate a quantity for each MCMC
sample so that we have a distribution of these quantities that can be used to calculate posterior
means and intervals. These also allow us to implement significant tests. 2.4 Role of the funding source We acknowledge financial support from the Eunice Kennedy Shriver National Institute Of
Child Health & Human Development of the National Institutes of Health under Award Num-
ber K99HD088727 and CCPR’s Population Research Infrastructure Grant P2C from NICHD:
P2C-HD041022. The sponsor of the study had no role in study design, data analysis, data col-
lection, data interpretation, or writing of the report. The corresponding author had full access
to all the data in the study; all authors had final responsibility for the decision to submit for
publication. PLOS ONE PLOS ONE Table 1. N is the survey sample size used in our analysis. U5MR is the under-5 mortality rates by age five for each survey. Non-poor deaths (NPD) is the fraction of deaths
from the top 80% wealth quintile. DRC is Democratic Republic of Congo, DR is Dominican Republic, and CAR is Central African Republic. The first quintile is the poorest
births and the fifth quantile is the richest births. Table 1. N is the survey sample size used in our analysis. U5MR is the under-5 mortality rates by age five for each survey. Non-poor deaths (NPD) is the fraction of deaths
from the top 80% wealth quintile. DRC is Democratic Republic of Congo, DR is Dominican Republic, and CAR is Central African Republic. The first quintile is the poorest
births and the fifth quantile is the richest births p
q
p
g
p
p
q
p
births and the fifth quantile is the richest births. 3.1 Mortality by wealth quintile in the raw data All results use individual births as the unit of the analysis. Summaries of the Demographic and
Health Surveys (DHS) are presented in Table 1. Each row presents data for one survey. From
left to right, the columns in Table 1 are the number of births in each survey (N); the under-5
mortality rate (U5MR), defined as the fraction of births who die before age five, both overall
and for each wealth quintile; and the proportion of deaths that occurred to the top 80% in
wealth, which we call the non-poor deaths (NPD) fraction. If there is perfect equity in mortal-
ity across socioeconomic groups, then the NPD would be exactly 80%. If the poorest 20% con-
tain more than their share of deaths, then the NPD would be lower than 80%. Under-5 PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 5 / 23 Measure inequality within and between groups of births and to identify left behind populations in LMIC PLOS ONE PLOS ONE Table 1. PLOS ONE Country (Survey Year)
N
U5MR
U5MR by Wealth Quintile
NPD
First
Second
Third
Fourth
Fifth
Albania (2009)
2,481
0.028
0.049
0.022
0.030
0.009
0.023
0.551
Angola (2011)
5,812
0.109
0.149
0.105
0.127
0.103
0.088
0.819
Armenia (2000)
2,602
0.057
0.058
0.059
0.056
0.066
0.043
0.736
Armenia (2010)
1,545
0.028
0.028
0.052
0.023
0.013
0.022
0.814
Azerbaijan (2006)
2,739
0.063
0.071
0.072
0.056
0.052
0.055
0.680
Bangladesh (2000)
9,061
0.127
0.164
0.158
0.110
0.109
0.082
0.717
Bangladesh (2004)
7,261
0.101
0.120
0.112
0.094
0.091
0.080
0.725
Bangladesh (2007)
6,929
0.083
0.100
0.105
0.091
0.073
0.046
0.733
Bangladesh (2014)
14,512
0.061
0.080
0.067
0.058
0.057
0.036
0.687
Benin (1996)
5,386
0.200
0.224
0.213
0.212
0.196
0.116
0.722
Benin (2001)
5,691
0.170
0.211
0.183
0.168
0.141
0.109
0.694
Benin (2006)
16,984
0.152
0.169
0.165
0.161
0.143
0.091
0.728
Benin (2012)
12,904
0.084
0.093
0.100
0.087
0.074
0.043
0.723
Bolivia (1998)
9,334
0.117
0.161
0.125
0.119
0.062
0.044
0.574
Bolivia (2004)
10,546
0.103
0.128
0.126
0.103
0.068
0.046
0.688
Bolivia (2008)
10,048
0.080
0.112
0.087
0.074
0.060
0.029
0.597
Brazil (1996)
6,023
0.071
0.113
0.067
0.045
0.037
0.036
0.477
Burkina Faso (1993)
5,514
0.206
0.206
0.253
0.236
0.221
0.157
0.850
Burkina Faso (1999)
5,702
0.230
0.250
0.249
0.251
0.249
0.152
0.751
Burkina Faso (2003)
12,060
0.200
0.201
0.227
0.204
0.208
0.144
0.804
Burkina Faso (2010)
16,759
0.164
0.186
0.186
0.162
0.157
0.110
0.756
Burundi (2011)
6,016
0.137
0.170
0.163
0.152
0.136
0.074
0.761
Cambodia (2000)
12,071
0.131
0.171
0.144
0.120
0.116
0.072
0.646
Cambodia (2011)
7,258
0.081
0.113
0.104
0.084
0.050
0.038
0.633
Cambodia (2014)
8,272
0.060
0.093
0.073
0.051
0.041
0.029
0.611
Cameroon (1991)
3,140
0.149
0.210
0.204
0.146
0.131
0.088
0.771
Cameroon (1998)
4,080
0.145
0.212
0.176
0.145
0.101
0.096
0.662
Cameroon (2004)
7,535
0.157
0.207
0.181
0.155
0.102
0.090
0.645
Cameroon (2011)
10,812
0.133
0.188
0.148
0.126
0.095
0.076
0.676
CAR (1995)
4,429
0.166
0.204
0.181
0.167
0.166
0.093
0.692
Chad (1997)
6,941
0.201
0.173
0.230
0.227
0.223
0.167
0.854
Chad (2004)
6,260
0.201
0.191
0.215
0.231
0.217
0.178
0.822
Chad (2015)
18,985
0.144
0.160
0.160
0.136
0.132
0.135
0.798
Colombia (1990)
4,087
0.041
0.069
0.055
0.034
0.032
0.025
0.754
Colombia (1995)
5,041
0.040
0.053
0.041
0.029
0.042
0.026
0.655
Colombia (2005)
15,630
0.032
0.047
0.032
0.026
0.020
0.021
0.598
Comoros (1996)
2,208
0.116
0.132
0.139
0.108
0.094
0.091
0.715
Comoros (2012)
3,390
0.050
0.051
0.054
0.052
0.055
0.035
0.725
DRC (2005)
4,419
0.134
0.157
0.141
0.137
0.143
0.081
0.745
DRC (2007)
7,971
0.172
0.207
0.195
0.180
0.155
0.107
0.734
DRC (2012)
7,597
0.097
0.105
0.106
0.082
0.066
0.071
0.501
DRC (2014)
15,132
0.125
0.137
0.137
0.124
0.128
0.077
0.717
Coˆte d’Ivoire (1999)
2,757
0.158
0.195
0.172
0.189
0.136
0.110
0.789
Coˆte d’Ivoire (2005)
3,812
0.127
0.149
0.127
0.125
0.115
0.097
0.673
Coˆte d’Ivoire (2012)
7,224
0.140
0.145
0.145
0.170
0.124
0.087
0.762
(Continued) PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 6 / 23 Measure inequality within and between groups of births and to identify left behind populations in LMIC PLOS ONE PLOS ONE Table 1. PLOS ONE (Continued)
Country (Survey Year)
N
U5MR
U5MR by Wealth Quintile
NPD
First
Second
Third
Fourth
Fifth
Dominican Republic (1999)
3,250
0.070
0.093
0.074
0.071
0.049
0.019
0.575
Dominican Republic (2002)
12,941
0.049
0.071
0.045
0.039
0.039
0.019
0.541
Dominican Republic (2007)
13,945
0.037
0.047
0.037
0.032
0.025
0.028
0.558
Dominican Republic (2013)
4,782
0.042
0.057
0.042
0.032
0.024
0.023
0.505
Egypt (1996)
12,791
0.110
0.158
0.133
0.107
0.070
0.038
0.605
Egypt (2003)
11,850
0.070
0.099
0.079
0.067
0.047
0.036
0.611
Egypt (2008)
11,394
0.039
0.061
0.035
0.035
0.026
0.025
0.592
Egypt (2014)
14,486
0.035
0.051
0.043
0.033
0.028
0.021
0.700
Eswatini (2007)
2,421
0.102
0.118
0.108
0.097
0.102
0.091
0.782
Ethiopia (1997)
12,984
0.141
0.134
0.168
0.153
0.158
0.104
0.743
Ethiopia (2003)
13,218
0.129
0.149
0.132
0.132
0.135
0.084
0.636
Gabon (2001)
3,783
0.093
0.095
0.117
0.099
0.083
0.040
0.685
Gabon (2012)
5,149
0.070
0.082
0.073
0.061
0.047
0.035
0.453
Ghana (1994)
3,281
0.147
0.181
0.188
0.155
0.114
0.078
0.751
Ghana (1999)
3,226
0.126
0.156
0.142
0.126
0.103
0.048
0.565
Ghana (2003)
4,134
0.127
0.155
0.120
0.125
0.112
0.088
0.603
Ghana (2008)
3,258
0.096
0.114
0.093
0.105
0.076
0.068
0.620
Ghana (2014)
6,370
0.084
0.107
0.077
0.067
0.062
0.080
0.570
Guatemala (1999)
7,083
0.078
0.085
0.087
0.081
0.065
0.034
0.637
Guatemala (2015)
11,719
0.041
0.057
0.043
0.038
0.030
0.021
0.623
Guinea (1999)
6,867
0.195
0.235
0.218
0.196
0.182
0.128
0.721
Guinea (2005)
7,807
0.201
0.219
0.230
0.220
0.172
0.125
0.741
Guinea (2012)
8,010
0.143
0.180
0.151
0.152
0.122
0.073
0.684
Guyana (2005)
1,268
0.046
0.030
0.052
0.029
0.038
0.088
0.828
Guyana (2009)
2,464
0.037
0.027
0.042
0.030
0.065
0.036
0.700
Haiti (1995)
3,020
0.157
0.194
0.182
0.147
0.139
0.100
0.722
Haiti (2000)
7,063
0.152
0.185
0.140
0.151
0.137
0.114
0.655
Haiti (2006)
5,907
0.107
0.130
0.115
0.098
0.098
0.067
0.655
Haiti (2012)
6,944
0.096
0.101
0.102
0.102
0.091
0.065
0.691
Honduras (2006)
12,380
0.045
0.055
0.052
0.041
0.029
0.022
0.606
Honduras (2012)
10,065
0.031
0.041
0.027
0.028
0.025
0.020
0.553
India (1993)
65,681
0.113
0.162
0.157
0.115
0.085
0.055
0.723
India (2000)
53,079
0.099
0.146
0.122
0.104
0.070
0.045
0.686
India (2006)
59,240
0.080
0.128
0.099
0.080
0.061
0.037
0.699
Indonesia (1997)
23,155
0.085
0.111
0.101
0.084
0.060
0.031
0.565
Indonesia (2003)
16,049
0.064
0.091
0.068
0.056
0.043
0.027
0.515
Indonesia (2007)
20,592
0.067
0.100
0.072
0.054
0.042
0.034
0.529
Indonesia (2012)
19,788
0.054
0.087
0.057
0.038
0.037
0.019
0.490
Jordan (1990)
9,308
0.046
0.061
0.056
0.043
0.038
0.034
0.796
Jordan (1997)
6,408
0.036
0.046
0.040
0.036
0.026
0.029
0.707
Jordan (2002)
7,098
0.037
0.040
0.041
0.037
0.031
0.029
0.708
Jordan (2009)
13,691
0.029
0.035
0.022
0.028
0.029
0.026
0.611
Jordan (2012)
11,205
0.024
0.029
0.023
0.021
0.024
0.015
0.670
Kazakhstan (1999)
2,651
0.057
0.069
0.062
0.067
0.052
0.038
0.762
Kenya (1993)
6,514
0.097
0.138
0.129
0.078
0.067
0.060
0.681
Kenya (1998)
5,789
0.104
0.140
0.119
0.104
0.076
0.058
0.668
(Continued) PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 7 / 23 Measure inequality within and between groups of births and to identify left behind populations in LMIC PLOS ONE PLOS ONE Table 1. PLOS ONE (Continued)
Country (Survey Year)
N
U5MR
U5MR by Wealth Quintile
NPD
First
Second
Third
Fourth
Fifth
Kenya (2009)
5,412
0.095
0.103
0.106
0.098
0.074
0.084
0.686
Kenya (2014)
23,924
0.055
0.053
0.066
0.054
0.053
0.044
0.674
Kyrgyzstan (1997)
2,400
0.074
0.094
0.092
0.079
0.051
0.043
0.669
Kyrgyzstan (2012)
3,705
0.036
0.031
0.037
0.048
0.032
0.031
0.799
Lesotho (2005)
3,115
0.093
0.113
0.107
0.090
0.075
0.077
0.746
Lesotho (2010)
3,107
0.087
0.077
0.095
0.098
0.090
0.079
0.737
Lesotho (2014)
3,250
0.100
0.080
0.103
0.117
0.120
0.087
0.791
Liberia (2009)
6,871
0.173
0.195
0.176
0.158
0.173
0.149
0.713
Liberia (2013)
8,220
0.132
0.147
0.131
0.123
0.108
0.126
0.618
Madagascar (1997)
5,960
0.165
0.208
0.186
0.178
0.137
0.098
0.675
Madagascar (2004)
5,268
0.106
0.163
0.142
0.114
0.095
0.058
0.699
Madagascar (2009)
12,686
0.087
0.111
0.098
0.093
0.070
0.045
0.651
Malawi (1992)
4,746
0.231
0.273
0.242
0.259
0.256
0.154
0.799
Malawi (2005)
9,663
0.180
0.216
0.192
0.193
0.167
0.124
0.777
Malawi (2010)
20,677
0.129
0.145
0.136
0.133
0.115
0.110
0.748
Malawi (2016)
16,793
0.079
0.094
0.082
0.088
0.076
0.053
0.756
Mali (1996)
9,960
0.259
0.310
0.292
0.262
0.238
0.175
0.757
Mali (2001)
13,031
0.257
0.264
0.271
0.287
0.271
0.148
0.776
Mali (2006)
15,201
0.222
0.248
0.261
0.229
0.210
0.134
0.773
Mali (2013)
9,249
0.113
0.120
0.140
0.130
0.108
0.063
0.779
Moldova (2005)
1,744
0.033
0.036
0.031
0.044
0.036
0.018
0.789
Morocco (1992)
5,422
0.088
0.110
0.094
0.092
0.074
0.050
0.695
Morocco (2004)
6,493
0.061
0.085
0.069
0.048
0.046
0.027
0.602
Mozambique (1997)
6,834
0.200
0.262
0.213
0.210
0.183
0.120
0.674
Mozambique (2004)
8,942
0.195
0.229
0.222
0.227
0.168
0.115
0.716
Mozambique (2011)
10,379
0.112
0.137
0.112
0.126
0.100
0.093
0.783
Namibia (1992)
3,692
0.109
0.137
0.100
0.103
0.120
0.079
0.718
Namibia (2000)
4,354
0.063
0.073
0.090
0.072
0.058
0.033
0.778
Namibia (2007)
4,668
0.069
0.097
0.078
0.064
0.062
0.032
0.703
Namibia (2013)
4,691
0.058
0.065
0.074
0.060
0.056
0.023
0.745
Nicaragua (1998)
8,665
0.062
0.067
0.070
0.060
0.054
0.041
0.661
Nicaragua (2001)
9,008
0.049
0.063
0.053
0.048
0.036
0.018
0.600
Niger (1998)
7,644
0.306
0.294
0.376
0.356
0.329
0.194
0.823
Niger (2006)
9,820
0.206
0.189
0.237
0.248
0.227
0.151
0.812
Niger (2012)
13,573
0.151
0.153
0.175
0.175
0.162
0.099
0.805
Nigeria (1990)
8,696
0.190
0.247
0.243
0.213
0.165
0.105
0.729
Nigeria (2003)
5,848
0.221
0.246
0.291
0.213
0.201
0.092
0.721
Nigeria (2008)
30,182
0.185
0.224
0.226
0.169
0.137
0.091
0.657
Nigeria (2013)
34,186
0.158
0.204
0.202
0.146
0.109
0.085
0.685
Pakistan (1991)
8,356
0.110
0.109
0.140
0.128
0.110
0.074
0.864
Pakistan (2007)
9,531
0.089
0.112
0.097
0.076
0.085
0.060
0.698
Pakistan (2013)
11,854
0.093
0.122
0.099
0.091
0.082
0.057
0.673
Paraguay (1990)
4,375
0.053
0.069
0.055
0.054
0.045
0.018
0.597
Peru (1992)
9,085
0.112
0.155
0.133
0.083
0.055
0.035
0.553
Peru (1996)
19,554
0.088
0.121
0.097
0.067
0.058
0.026
0.527
Peru (2000)
17,334
0.081
0.112
0.094
0.060
0.037
0.016
0.536
(Continued) PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 8 / 23 Measure inequality within and between groups of births and to identify left behind populations in LMIC https://doi.org/10.1371/journal.pone.0238847.t001 PLOS ONE (Continued)
Country (Survey Year)
N
U5MR
U5MR by Wealth Quintile
NPD
First
Second
Third
Fourth
Fifth
Peru (2008)
13,739
0.040
0.063
0.047
0.037
0.025
0.019
0.720
Peru (2012)
31,443
0.033
0.046
0.035
0.026
0.020
0.013
0.544
Philippines (1993)
9,340
0.075
0.101
0.088
0.068
0.038
0.052
0.625
Philippines (1998)
8,361
0.065
0.091
0.070
0.052
0.039
0.031
0.530
Philippines (2003)
7,863
0.045
0.073
0.048
0.033
0.020
0.023
0.526
Philippines (2008)
7,480
0.044
0.066
0.043
0.030
0.032
0.024
0.535
Philippines (2013)
8,159
0.033
0.051
0.032
0.025
0.018
0.017
0.485
Rwanda (1992)
6,071
0.174
0.165
0.218
0.155
0.211
0.134
0.795
Rwanda (2005)
9,139
0.202
0.223
0.224
0.200
0.224
0.132
0.744
Rwanda (2008)
4,865
0.149
0.176
0.166
0.159
0.159
0.087
0.824
Rwanda (2015)
8,096
0.071
0.082
0.082
0.077
0.068
0.040
0.731
Sao Tome and Principe (2009)
1,685
0.081
0.087
0.076
0.082
0.106
0.034
0.728
Senegal (1997)
7,311
0.157
0.189
0.192
0.165
0.109
0.076
0.706
Senegal (2005)
10,284
0.162
0.210
0.186
0.158
0.100
0.079
0.677
Senegal (2009)
13,229
0.124
0.154
0.135
0.107
0.063
0.067
0.575
Senegal (2015)
12,606
0.084
0.110
0.089
0.075
0.054
0.046
0.596
Sierra Leone (2008)
6,413
0.179
0.214
0.184
0.163
0.173
0.155
0.739
Sierra Leone (2013)
13,981
0.187
0.206
0.197
0.192
0.179
0.142
0.746
South Africa (1998)
5,564
0.057
0.085
0.073
0.048
0.031
0.022
0.610
Tanzania (1999)
6,715
0.150
0.159
0.167
0.167
0.169
0.098
0.764
Tanzania (2005)
7,200
0.143
0.166
0.158
0.160
0.124
0.101
0.755
Tanzania (2010)
11,262
0.101
0.126
0.110
0.098
0.092
0.071
0.737
Tanzania (2016)
8,745
0.079
0.085
0.081
0.076
0.084
0.062
0.755
Timor-Leste (2010)
9,499
0.089
0.096
0.102
0.095
0.091
0.059
0.758
Togo (1998)
7,211
0.155
0.174
0.181
0.159
0.119
0.102
0.720
Togo (2014)
6,901
0.109
0.131
0.122
0.112
0.084
0.045
0.588
Turkey (1993)
4,998
0.090
0.144
0.095
0.087
0.073
0.030
0.639
Turkey (1998)
4,162
0.064
0.096
0.065
0.058
0.045
0.033
0.615
Turkey (2004)
4,765
0.058
0.087
0.065
0.051
0.034
0.031
0.587
Uganda (1995)
6,244
0.159
0.199
0.183
0.158
0.163
0.114
0.778
Uganda (2001)
5,933
0.154
0.192
0.194
0.170
0.136
0.102
0.784
Uganda (2010)
5,912
0.142
0.168
0.149
0.138
0.134
0.104
0.690
Uganda (2011)
7,852
0.117
0.137
0.137
0.110
0.112
0.080
0.684
Ukraine (2007)
1,494
0.021
0.021
0.015
0.021
0.041
0.011
0.806
Uzbekistan (1996)
2,656
0.054
0.064
0.039
0.054
0.065
0.049
0.776
Vietnam (2002)
4,060
0.039
0.055
0.045
0.031
0.030
0.023
0.643
Zambia (1997)
5,614
0.192
0.214
0.226
0.192
0.169
0.126
0.660
Zambia (2002)
6,027
0.171
0.204
0.188
0.196
0.142
0.084
0.722
Zambia (2007)
5,808
0.147
0.125
0.171
0.172
0.142
0.102
0.821
Zambia (2014)
12,324
0.088
0.109
0.091
0.087
0.069
0.072
0.728
Zimbabwe (1994)
4,622
0.066
0.073
0.084
0.050
0.073
0.045
0.702
Zimbabwe (1999)
3,713
0.078
0.085
0.087
0.081
0.081
0.043
0.697
Zimbabwe (2006)
4,357
0.062
0.064
0.071
0.069
0.055
0.047
0.748
Zimbabwe (2011)
4,374
0.067
0.075
0.075
0.074
0.052
0.057
0.718
Zimbabwe (2015)
5,726
0.093
0.118
0.102
0.103
0.084
0.062
0.726
https://doi.org/10.1371/journal.pone.0238847.t001 PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 9 / 23 PLOS ONE Measure inequality within and between groups of births and to identify left behind populations in LMIC mortality rates are generally higher for the poorest wealth quintiles, reflecting a socioeconomic
gradient in mortality. 3.2 Quantifying within and between group variability Fig 1 presents box plots showing the distribution of mortality risk for the last survey of each
country. Countries are ordered from the highest median mortality risk (Sierra Leone) to the
lowest median mortality risk (Ukraine). As the median mortality risk gets smaller, variance
decreases as well. There is considerable overlap in mortality risk across countries. This suggests
that country of birth explains only a small fraction of mortality risk and that all countries have
some children with very high mortality risk. Fig 2 presents the distribution of mortality risk across countries stratified by wealth quintile. Only the most recent survey is shown, and countries are ranked from highest to lowest median
mortality risk, from top left to bottom right. Outliers are not shown and all graphs are pre-
sented on the same scale. For all countries and surveys in our sample, there is considerable
overlap in mortality risk across socioeconomic groups within countries and this is true irre-
spective of a country’s average mortality level. Among higher mortality countries, Sierra
Leone and the Central African Republic have clear socioeconomic gradients in mortality risk. Among lower mortality countries, Bolivia, Brazil, Nigeria, and Cameroon have the largest
socioeconomic gradients in mortality risk. High mortality countries like Niger and Lesotho
exhibit no socioeconomic gradients in mortality, and this is also true for some lower mortality
countries, such as Ukraine, Armenia and Jordan. Conclusions from Fig 2 are thus consistent
with those from Table 1. Table 2 presents results from our analysis. The first column gives the country and year in
which the survey was taken, and first row presenting the results across all surveys combined. Columns two through five show the mean, median, and standard deviation of the mortality
risk distribution from our analysis, and the R2 of our ANOVA, which quantifies how much of
the variance in mortality risk is explained by wealth quintile. Globally, wealth quintile only explains about 3% of the variability in mortality risk. How-
ever, there is substantial country to country heterogeneity. The countries with the highest R2
values are India (23%), Nigeria (17%), Indonesia (14%), and Cameroon (14%). In contrast,
Eswatini, Lesotho, Tanzania, Moldova, Sao Tome and Principe, Kyrgyzstan, Uzbekistan,
Kenya, Ukraine, and Comoros all have R2 point estimates that are less than 1%. Further there
is not a clear relationship between R2 and mean/median mortality risk. PLOS ONE Some countries, such as Egypt, exhibit a consistent decrease in mortality
with increasing wealth quintile. In a few countries, mortality increases from the poorest to the
second poorest quintile, such as in Burkina Faso (2003). In general, the NPD are typically
between 50% and 75%. These results show that there are high risk children in all socioeco-
nomic groups. 3.2 Quantifying within and between group variability Using country of birth
in the ANOVA gives a posterior mean R2 of 19%. Thus the ANOVA results confirm the find-
ings from the boxplots of mortality rates in Figs 1 and 2 which show that while there is sub-
stantial country to country heterogeneity, within a given country wealth does not explain
much of the variability in mortality risk. Mortality risk distributions have a long right tail and in Table 2 the mean mortality risk is
always higher than the median. In every country, there are individuals that face much higher
mortality risk than the national average. https://doi.org/10.1371/journal.pone.0238847.g002 our approach is much more efficient in identifying high risk births than targeting the poor. Efficiency gains range from 26% in Mali (1996), to more than 550% in Guyana (2009). Effi-
ciency gains are not strongly related to a country’s average mortality rates. PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 3.3 Comparing mortality among highest risk and poorest children Poverty status alone is often used to decide which families will be targeted by health interven-
tions. However, high within group variability for socioeconomic groups suggests that targeting PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 10 / 23 PLOS ONE Measure inequality within and between groups of births and to identify left behind populations in LMIC based on a single demographic variable is inefficient because there are high risk births in all
Fig 1. Box plots for mortality risk by country and survey. Lines are ±1.5 times interquartile range, boxes are lower to
upper quartile, and dark line is the median mortality risk. Outliers are not shown. https://doi.org/10.1371/journal.pone.0238847.g001 Fig 1. Box plots for mortality risk by country and survey. Lines are ±1.5 times interquartile range, boxes are lower to
upper quartile, and dark line is the median mortality risk. Outliers are not shown. https://doi.org/10.1371/journal.pone.0238847.g001 based on a single demographic variable is inefficient because there are high risk births in all
socioeconomic groups. We formally demonstrate the validity of this hypothesis for the last sur-
vey of each country, comparing efficiency gains of targeting the 20% poorest compared to tar-
geting the 20% highest risk. Results are presented in Table 3. For all surveys and all countries, PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 11 / 23 PLOS ONE Measure inequality within and between groups of births and to identify left behind populations in LMIC Fig 2. Box plots for mortality risk by wealth quintile, country, and survey. Countries are ranked from lowest to highest mortality. Lines are ±1.5 times interquartile range, boxes are lower to upper quartile, and dark line is the median mortality risk. Outliers are not
shown. Fig 2. Box plots for mortality risk by wealth quintile, country, and survey. Countries are ranked from lowest to highest mortality. Lines are ±1.5 times interquartile range, boxes are lower to upper quartile, and dark line is the median mortality risk. Outliers are not
shown. https //doi org/10 1371/jo rnal pone 0238847 g002 Fig 2. Box plots for mortality risk by wealth quintile, country, and survey. Countries are ranked from lowest to highest mortality. Lines are ±1.5 times interquartile range, boxes are lower to upper quartile, and dark line is the median mortality risk. Outliers are not
shown https://doi.org/10.1371/journal.pone.0238847.g002 PLOS ONE PLOS ONE Table 2. Results from ANOVA of posterior mean of mortality risk on wealth quintiles. Countries are ordered by median mortality risk. Mean, median, variance, and
R2 are presented as posterior means and 95% intervals. 3.4 Who are the highest risk children? We define the high risk (low risk) births for a particular country and survey as those in the top
20% (bottom 80%) of all births in terms of mortality risk as estimated by our model. For each
of the continuous (categorical) variables, we calculate means of the variable for high and low
risk births and the difference (odds ratio). Results are presented in Tables 1-7 in S1 Appendix
for the last survey in each country. Higher risk births have younger mothers on average com-
pared to lower risk births, but the differences are not substantively important: mothers from
low risk group are usually less than a year older than mothers from the high risk group. High
risk and low risk groups are also comparable for birth gender. For maternal education, there is
often a significant difference between high risk and low risk births, but the difference is not
substantively important. There is on average less than a year of additional education for PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 12 / 23 Measure inequality within and between groups of births and to identify left behind populations in LMIC (Continued) PLOS ONE Country
Mean
Median
Variance
R2 (Wealth)
Overall
6.9% (6.8%, 6.9%)
4.0% (4.0%, 4.1%)
0.7% (0.7%, 0.7%)
3.3% (3.1%, 3.5%)
Sierra Leone 2013
15.7% (15.1%, 16.3%)
12.7% (12.0%, 13.3%)
1.3% (1.1%, 1.5%)
2.8% (1.3%, 4.7%)
Central African Republic 1995
14.0% (13.0%, 15.1%)
10.8% (9.8%, 12.0%)
1.5% (1.2%, 1.8%)
5.9% (2.7%, 10.3%)
Burkina Faso 2010
13.3% (12.8%, 13.8%)
11.4% (10.8%, 11.9%)
0.8% (0.7%, 0.9%)
5.5% (3.2%, 8.3%)
Niger 2012
12.3% (11.7%, 12.8%)
9.8% (9.2%, 10.4%)
0.9% (0.8%, 1.1%)
2.9% (1.3%, 4.9%)
Nigeria 2013
12.9% (12.6%, 13.3%)
9.9% (9.5%, 10.3%)
1.0% (0.9%, 1.1%)
17.4% (14.9%, 20.0%)
Guinea 2012
11.6% (11.0%, 12.4%)
9.1% (8.4%, 9.8%)
1.0% (0.8%, 1.2%)
7.7% (4.5%, 11.6%)
Burundi 2011
11.2% (10.4%, 12.0%)
8.5% (7.7%, 9.3%)
1.0% (0.8%, 1.3%)
8.7% (4.9%, 13.1%)
Chad 2015
11.6% (11.2%, 12.1%)
8.8% (8.4%, 9.3%)
0.9% (0.8%, 1.0%)
1.2% (0.3%, 2.3%)
Coˆte d’Ivoire 2012
11.5% (10.8%, 12.2%)
8.2% (7.5%, 9.0%)
1.1% (0.9%, 1.4%)
1.4% (0.2%, 3.2%)
Liberia 2013
10.6% (9.9%, 11.3%)
8.0% (7.4%, 8.6%)
0.9% (0.7%, 1.0%)
1.5% (0.2%, 3.6%)
Ethiopia 2003
10.2% (9.8%, 10.7%)
8.0% (7.5%, 8.5%)
0.7% (0.6%, 0.9%)
3.6% (1.7%, 6.0%)
Cameroon 2011
10.7% (10.1%, 11.3%)
7.8% (7.2%, 8.4%)
0.9% (0.7%, 1.1%)
13.6% (9.7%, 18.1%)
Uganda 2011
9.3% (8.7%, 9.9%)
7.0% (6.4%, 7.7%)
0.7% (0.6%, 0.9%)
3.8% (1.5%, 6.9%)
Congo Democratic Republic 2014
9.9% (9.4%, 10.4%)
7.5% (7.0%, 7.9%)
0.7% (0.6%, 0.8%)
2.5% (1.1%, 4.4%)
Togo 2014
8.7% (8.1%, 9.3%)
6.1% (5.5%, 6.7%)
0.8% (0.6%, 1.0%)
5.5% (2.7%, 8.8%)
Mozambique 2011
8.9% (8.4%, 9.5%)
6.1% (5.6%, 6.6%)
0.8% (0.7%, 1.0%)
2.2% (0.7%, 4.2%)
Angola 2011
8.8% (8.2%, 9.5%)
5.4% (4.8%, 6.0%)
1.0% (0.8%, 1.3%)
2.4% (0.6%, 4.8%)
Lesotho 2014
8.1% (7.3%, 9.0%)
4.6% (3.8%, 5.4%)
1.2% (0.9%, 1.5%)
0.4% (0.0%, 1.6%)
Haiti 2012
7.5% (6.9%, 8.0%)
5.2% (4.7%, 5.8%)
0.6% (0.5%, 0.8%)
0.6% (0.0%, 1.9%)
Congo 2012
7.5% (7.0%, 8.1%)
5.3% (4.8%, 5.8%)
0.6% (0.5%, 0.7%)
1.3% (0.1%, 3.1%)
Mali 2013
9.1% (8.6%, 9.7%)
5.4% (4.9%, 6.0%)
1.0% (0.9%, 1.2%)
2.6% (1.2%, 4.3%)
Eswatini 2007
8.6% (7.6%, 9.6%)
4.0% (3.3%, 4.9%)
1.7% (1.3%, 2.1%)
0.4% (0.0%, 1.5%)
Zimbabwe 2015
7.4% (6.8%, 8.0%)
4.5% (4.0%, 5.1%)
0.9% (0.7%, 1.1%)
3.0% (1.2%, 5.4%)
Pakistan 2013
7.1% (6.7%, 7.6%)
4.9% (4.5%, 5.4%)
0.5% (0.4%, 0.6%)
5.7% (3.2%, 8.7%)
Timor-Leste 2010
6.9% (6.4%, 7.4%)
4.7% (4.2%, 5.1%)
0.5% (0.4%, 0.6%)
1.8% (0.5%, 3.9%)
Senegal 2015
6.3% (5.9%, 6.7%)
4.8% (4.4%, 5.2%)
0.3% (0.3%, 0.4%)
7.6% (4.1%, 11.5%)
Zambia 2014
6.7% (6.3%, 7.1%)
4.5% (4.1%, 4.9%)
0.5% (0.4%, 0.6%)
2.9% (1.2%, 5.1%)
Ghana 2014
6.4% (5.9%, 7.0%)
4.1% (3.7%, 4.7%)
0.5% (0.4%, 0.7%)
2.8% (0.6%, 5.8%)
Madagascar 2009
6.7% (6.3%, 7.1%)
4.5% (4.1%, 4.9%)
0.5% (0.4%, 0.6%)
6.0% (3.7%, 8.9%)
Tanzania 2016
6.0% (5.5%, 6.4%)
4.1% (3.7%, 4.5%)
0.4% (0.3%, 0.5%)
0.3% (0.0%, 1.3%)
Bolivia 2008
6.1% (5.6%, 6.6%)
4.1% (3.6%, 4.5%)
0.5% (0.4%, 0.6%)
11.2% (7.6%, 15.4%)
India 2006
5.9% (5.7%, 6.1%)
4.3% (4.2%, 4.5%)
0.3% (0.2%, 0.3%)
22.7% (19.8%, 25.9%)
Malawi 2016
5.8% (5.5%, 6.2%)
4.2% (3.9%, 4.5%)
0.3% (0.2%, 0.4%)
3.4% (1.6%, 5.7%)
Rwanda 2015
5.3% (4.8%, 5.8%)
3.5% (3.1%, 4.0%)
0.4% (0.3%, 0.5%)
3.0% (0.9%, 6.0%)
Benin 2012
6.6% (6.2%, 7.0%)
3.6% (3.2%, 3.9%)
0.8% (0.6%, 0.9%)
2.1% (1.1%, 3.4%)
Gabon 2012
5.5% (4.9%, 6.1%)
2.7% (2.3%, 3.2%)
0.7% (0.6%, 0.9%)
2.3% (0.7%, 4.5%)
Bangladesh 2014
4.4% (4.1%, 4.7%)
3.2% (2.9%, 3.5%)
0.2% (0.2%, 0.3%)
6.4% (3.4%, 9.8%)
Brazil 1996
5.6% (5.1%, 6.1%)
2.7% (2.2%, 3.1%)
0.8% (0.6%, 1.0%)
9.9% (6.6%, 13.6%)
Sao Tome and Principe 2009
6.9% (6.0%, 8.0%)
1.9% (1.3%, 2.6%)
1.9% (1.4%, 2.3%)
0.2% (0.0%, 1.2%)
Azerbaijan 2006
5.0% (4.3%, 5.8%)
2.0% (1.5%, 2.7%)
0.9% (0.6%, 1.1%)
0.8% (0.0%, 2.4%)
Morocco 2004
4.6% (4.1%, 5.1%)
2.4% (2.0%, 2.8%)
0.5% (0.4%, 0.6%)
6.0% (3.0%, 9.5%)
South Africa 1998
4.4% (3.9%, 4.9%)
2.1% (1.7%, 2.5%)
0.5% (0.4%, 0.7%)
7.9% (4.7%, 11.8%)
Kenya 2014
4.0% (3.7%, 4.2%)
2.6% (2.4%, 2.8%)
0.2% (0.2%, 0.2%)
0.1% (0.0%, 0.5%)
Kazakhstan 1999
4.5% (3.8%, 5.3%)
1.8% (1.3%, 2.3%)
0.8% (0.5%, 1.0%)
1.7% (0.2%, 4.0%)
Namibia 2013
4.5% (4.0%, 5.0%)
2.0% (1.6%, 2.4%)
0.7% (0.5%, 0.9%)
1.8% (0.5%, 3.8%) Table 2. PLOS ONE PLOS ONE Table 2. (Continued)
Country
Mean
Median
Variance
R2 (Wealth)
Cambodia 2014
4.5% (4.1%, 5.0%)
2.3% (2.0%, 2.6%)
0.5% (0.4%, 0.6%)
8.3% (5.5%, 11.6%)
Nicaragua 2001
3.6% (3.2%, 3.9%)
2.1% (1.8%, 2.4%)
0.2% (0.2%, 0.3%)
4.2% (1.9%, 7.4%)
Indonesia 2012
4.0% (3.7%, 4.3%)
2.2% (1.9%, 2.4%)
0.3% (0.2%, 0.4%)
13.7% (10.5%, 16.9%)
Paraguay 1990
4.1% (3.6%, 4.6%)
1.8% (1.5%, 2.2%)
0.5% (0.4%, 0.7%)
2.0% (0.5%, 4.2%)
Turkey 2004
4.5% (4.0%, 5.1%)
1.9% (1.5%, 2.3%)
0.6% (0.5%, 0.8%)
6.1% (3.3%, 9.7%)
Comoros 2012
4.1% (3.5%, 4.7%)
1.1% (0.8%, 1.5%)
0.8% (0.6%, 1.0%)
0.1% (0.0%, 0.6%)
Uzbekistan 1996
4.4% (3.7%, 5.1%)
1.3% (0.9%, 1.7%)
0.9% (0.7%, 1.2%)
0.1% (0.0%, 0.6%)
Guatemala 2015
2.9% (2.6%, 3.2%)
1.7% (1.5%, 1.9%)
0.2% (0.1%, 0.2%)
4.7% (2.4%, 7.5%)
Dominican Republic 2013
3.2% (2.8%, 3.7%)
1.3% (1.0%, 1.6%)
0.4% (0.3%, 0.6%)
2.5% (0.8%, 4.9%)
Kyrgyzstan 2012
2.8% (2.4%, 3.3%)
0.9% (0.6%, 1.3%)
0.5% (0.3%, 0.6%)
0.1% (0.0%, 0.6%)
Vietnam 2002
3.0% (2.5%, 3.4%)
1.0% (0.8%, 1.4%)
0.4% (0.3%, 0.5%)
2.1% (0.4%, 4.6%)
Peru 2012
2.3% (2.1%, 2.4%)
1.5% (1.4%, 1.6%)
0.1% (0.1%, 0.1%)
10.5% (7.4%, 14.3%)
Colombia 2005
2.2% (2.0%, 2.4%)
1.2% (1.0%, 1.4%)
0.1% (0.1%, 0.2%)
4.1% (2.1%, 6.6%)
Egypt 2014
2.5% (2.3%, 2.7%)
1.3% (1.1%, 1.5%)
0.2% (0.2%, 0.3%)
3.5% (1.8%, 5.7%)
Honduras 2012
2.2% (2.0%, 2.5%)
1.1% (0.9%, 1.3%)
0.2% (0.1%, 0.3%)
1.3% (0.3%, 2.8%)
Philippines 2013
2.5% (2.2%, 2.8%)
0.9% (0.7%, 1.2%)
0.3% (0.2%, 0.4%)
3.8% (2.0%, 5.7%)
Guyana 2009
3.1% (2.5%, 3.7%)
0.4% (0.1%, 0.7%)
0.9% (0.7%, 1.3%)
0.8% (0.1%, 1.9%)
Jordan 2012
1.7% (1.5%, 1.9%)
0.7% (0.5%, 0.8%)
0.2% (0.1%, 0.2%)
0.5% (0.0%, 1.5%)
Albania 2009
2.4% (1.9%, 2.9%)
0.1% (0.0%, 0.2%)
0.9% (0.6%, 1.2%)
1.0% (0.2%, 2.3%)
Armenia 2010
2.4% (1.9%, 3.1%)
0.1% (0.0%, 0.3%)
1.0% (0.7%, 1.3%)
0.5% (0.0%, 1.6%)
Moldova 2005
2.9% (2.3%, 3.6%)
0.0% (0.0%, 0.2%)
1.2% (0.7%, 1.7%)
0.3% (0.0%, 1.1%)
Ukraine 2007
1.8% (1.3%, 2.4%)
0.0% (0.0%, 0.2%)
0.7% (0.3%, 1.1%)
0.1% (0.0%, 0.6%)
https://doi.org/10.1371/journal.pone.0238847.t002 mothers from the low risk group. There is also often a statistical, but not substantive difference
in birth order. mothers from the low risk group. There is also often a statistical, but not substantive difference
in birth order. The most substantial differences between the higher and lower risk groups are for residency
(urban/rural), wealth, and previous death of a sibling. High risk births are substantively poorer
than the remaining 80% of the population. PLOS ONE In Cambodia, high risk births average at the poorest
32nd percentile of wealth while the low risk births average around the 53rd percentile of wealth. We find similar results for other countries: Bolivia: 32% against 52%; Brazil: 31% against 53%;
Peru: 30% against 53%; Nigeria: 32% against 53%. High risk births are disproportionately born to mothers that have already experienced a
prior death of another child. The odds ratio is 18.8 (13.1, 26.7) in Benin; 16.3 (10.9, 24.1) in
Mali; and 15.4 (11.9, 19.9) in Nigeria. Even for relatively wealthier countries, the odds ratio for
another death is high for mothers that have experienced a prior death. The only countries in
which a prior death is not a significant risk factor for a subsequent birth are Moldova and Viet-
nam. Ukraine seems an exception, but the fractions of the births with a prior death are small,
and this makes the odds ratio for Ukraine not very meaningful. PLOS ONE Results from ANOVA of posterior mean of mortality risk on wealth quintiles. Countries are ordered by medi
R2 are presented as posterior means and 95% intervals. PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 13 / 23 Measure inequality within and between groups of births and to identify left behind populations in LMIC 4 Discussion In this study we have investigated inequality in under-5 mortality within and between socio-
economic groups for a large pool of LMIC. We have made three related contributions to the
existing research. First, we show that for all 67 countries in our sample, most of the variability
in mortality risk exists within socioeconomic groups, not between groups. Second, we show
that within countries the average mortality risk—which is closely related to national averages PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 14 / 23 Measure inequality within and between groups of births and to identify left behind populations in LMIC PLOS ONE Table 3. Efficiency gains by targeting 20% highest risk as estimated from our model versus targeting the poorest 20%. The first column gives the country and year. The second column gives sample size per survey. The third column is under 5 mortality rate in the 20% poorest. The fourth column is the mortality rate in the 20% identi-
fied as having the highest mortality risk for each sample with 95% posterior intervals. Efficiency Gain is defined as (HRDeaths—PoorDeaths)/PoorDeaths. CAR is Central
African Republic. Table 3. Efficiency gains by targeting 20% highest risk as estimated from our model versus targeting the poorest 20%. The first column gives the country and year. The second column gives sample size per survey. The third column is under 5 mortality rate in the 20% poorest. The fourth column is the mortality rate in the 20% identi-
fied as having the highest mortality risk for each sample with 95% posterior intervals. Efficiency Gain is defined as (HRDeaths—PoorDeaths)/PoorDeaths. CAR is Central
African Republic Table 3. Efficiency gains by targeting 20% highest risk as estimated from our model versus targeting the poorest 20%. The first column gives the country and year. The second column gives sample size per survey. The third column is under 5 mortality rate in the 20% poorest. The fourth column is the mortality rate in the 20% identi-
fied as having the highest mortality risk for each sample with 95% posterior intervals. Efficiency Gain is defined as (HRDeaths—PoorDeaths)/PoorDeaths. CAR is Central
Af i
R
bli fied as having the highest mortality risk for each sample with 95% posterior intervals. Efficiency Gain is defined as (HRDeaths—PoorDeaths)/PoorDeaths. CAR is Central
African Republic. (Continued) PLOS ONE Table 3. 4 Discussion Country Year
Sample Size
Mortality Poor
Mortality High Risk
Efficiency Gains
Albania 2009
2,481
32%
86% (74%, 94%)
168% (132%, 195%)
Armenia 2000
2,602
22%
53% (47%, 59%)
144% (116%, 175%)
Armenia 2010
1,545
23%
77% (63%, 91%)
230% (170%, 290%)
Angola 2011
5,812
24%
44% (41%, 46%)
80% (69%, 89%)
Azerbaijan 2006
2,739
27%
49% (42%, 55%)
83% (59%, 107%)
Bangladesh 2000
9,061
26%
39% (36%, 40%)
50% (42%, 57%)
Bangladesh 2004
7,261
24%
38% (35%, 40%)
55% (44%, 65%)
Bangladesh 2007
6,929
25%
43% (40%, 45%)
69% (58%, 79%)
Bangladesh 2014
14,512
27%
40% (37%, 42%)
47% (39%, 56%)
Burkina Faso 1993
5,514
19%
31% (29%, 33%)
61% (51%, 70%)
Burkina Faso 1999
5,702
21%
30% (28%, 31%)
39% (32%, 46%)
Burkina Faso 2003
12,060
20%
33% (32%, 34%)
69% (62%, 74%)
Burkina Faso 2010
16,759
23%
35% (33%, 36%)
52% (47%, 57%)
Benin 1996
5,386
22%
32% (31%, 34%)
47% (39%, 55%)
Benin 2001
5,691
26%
34% (32%, 36%)
33% (26%, 41%)
Benin 2006
16,984
22%
35% (34%, 36%)
57% (52%, 63%)
Benin 2012
12,904
21%
51% (49%, 53%)
139% (129%, 148%)
Bolivia 1998
9,334
29%
42% (40%, 45%)
48% (40%, 55%)
Bolivia 2004
10,546
25%
42% (40%, 44%)
67% (58%, 75%)
Bolivia 2008
10,048
29%
42% (40%, 45%)
46% (37%, 55%)
Brazil 1996
6,023
34%
51% (47%, 55%)
50% (40%, 62%)
Burundi 2011
6,016
25%
38% (35%, 40%)
54% (45%, 64%)
Cambodia 2000
12,071
27%
39% (38%, 41%)
47% (42%, 53%)
Cambodia 2011
7,258
28%
47% (43%, 49%)
64% (53%, 74%)
Cambodia 2014
8,272
31%
51% (48%, 54%)
67% (56%, 77%)
CAR 1995
4,429
25%
36% (34%, 39%)
46% (35%, 54%)
Chad 1997
6,941
15%
34% (33%, 36%)
133% (123%, 143%)
Chad 2004
6,260
18%
34% (33%, 36%)
93% (83%, 102%)
Chad 2015
18,985
22%
39% (38%, 40%)
77% (72%, 82%)
Congo 2005
4,419
23%
40% (38%, 42%)
74% (63%, 85%)
Congo 2012
7,597
22%
39% (36%, 41%)
74% (63%, 84%)
Coˆte d’Ivoire 1999
2,757
25%
42% (39%, 45%)
73% (60%, 84%)
Coˆte d’Ivoire 2005
3,812
22%
38% (35%, 41%)
70% (56%, 83%)
Coˆte d’Ivoire 2012
7,224
21%
40% (38%, 42%)
94% (85%, 104%)
Cameroon 1991
3,140
26%
41% (39%, 44%)
57% (46%, 67%)
Cameroon 1998
4,080
30%
43% (40%, 45%)
43% (34%, 51%)
Cameroon 2004
7,535
26%
40% (38%, 41%)
52% (46%, 58%)
Cameroon 2011
10,812
29%
39% (38%, 41%)
35% (30%, 41%)
Colombia 1990
4,087
34%
63% (56%, 70%)
86% (65%, 105%)
Colombia 1995
5,041
30%
56% (49%, 62%)
90% (66%, 112%)
Colombia 2005
15,630
32%
51% (46%, 57%)
58% (43%, 76%)
Comoros 1996
2,208
22%
42% (38%, 46%)
93% (75%, 111%)
Comoros 2012
3,390
18%
57% (51%, 62%)
223% (190%, 253%)
DRC 2007
7,971
24%
40% (39%, 42%)
70% (64%, 76%)
DRC 2014
15,132
22%
39% (37%, 40%)
74% (68%, 81%)
(Continued) PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 15 / 23 Measure inequality within and between groups of births and to identify left behind populations in LMIC (Continued) PLOS ONE PLOS ONE Table 3. PLOS ONE (Continued)
Country Year
Sample Size
Mortality Poor
Mortality High Risk
Efficiency Gains
DR 1999
3,250
26%
50% (46%, 55%)
97% (78%, 116%)
DR 2002
12,941
32%
49% (45%, 52%)
50% (40%, 61%)
DR 2007
13,945
26%
46% (42%, 50%)
77% (61%, 93%)
DR 2013
4,782
30%
51% (45%, 56%)
67% (48%, 85%)
Egypt 1996
12,791
30%
41% (40%, 43%)
40% (35%, 46%)
Egypt 2003
11,850
30%
49% (46%, 52%)
64% (54%, 72%)
Egypt 2008
11,394
32%
51% (46%, 55%)
59% (46%, 72%)
Egypt 2014
14,486
29%
52% (48%, 56%)
78% (64%, 91%)
Eswatini 2007
2,421
22%
47% (42%, 51%)
111% (91%, 129%)
Ethiopia 1997
12,984
18%
38% (36%, 39%)
109% (101%, 116%)
Ethiopia 2003
13,218
22%
38% (37%, 40%)
79% (71%, 86%)
Gabon 2001
3,783
20%
43% (39%, 47%)
111% (93%, 129%)
Gabon 2012
5,149
26%
48% (44%, 52%)
84% (70%, 98%)
Ghana 1994
3,281
24%
42% (40%, 46%)
77% (65%, 90%)
Ghana 1999
3,226
23%
42% (39%, 45%)
84% (69%, 98%)
Ghana 2003
4,134
25%
41% (38%, 44%)
63% (52%, 75%)
Ghana 2008
3,258
25%
44% (40%, 49%)
81% (64%, 99%)
Ghana 2014
6,370
27%
41% (37%, 44%)
53% (40%, 64%)
Guinea 1999
6,867
24%
32% (30%, 34%)
32% (26%, 39%)
Guinea 2005
7,807
22%
33% (31%, 34%)
48% (42%, 54%)
Guinea 2012
8,010
26%
37% (35%, 39%)
45% (38%, 52%)
Guatemala 1999
7,083
23%
42% (38%, 45%)
81% (68%, 95%)
Guatemala 2015
11,719
28%
46% (43%, 49%)
66% (54%, 79%)
Guyana 2005
1,268
14%
86% (76%, 93%)
525% (450%, 575%)
Guyana 2009
2,464
10%
68% (59%, 77%)
578% (489%, 667%)
Honduras 2006
12,380
23%
43% (39%, 46%)
88% (72%, 102%)
Honduras 2012
10,065
26%
50% (44%, 55%)
93% (71%, 113%)
Haiti 1995
3,020
24%
40% (37%, 43%)
65% (53%, 75%)
Haiti 2000
7,063
23%
36% (34%, 38%)
56% (48%, 64%)
Haiti 2006
5,907
26%
41% (39%, 44%)
60% (49%, 70%)
Haiti 2012
6,944
20%
40% (37%, 43%)
102% (88%, 116%)
India 1993
65,681
29%
41% (41%, 42%)
45% (42%, 47%)
India 2000
53,079
30%
39% (38%, 39%)
31% (29%, 33%)
India 2006
59,240
32%
43% (42%, 44%)
35% (32%, 38%)
Indonesia 1997
23,155
26%
46% (45%, 48%)
79% (73%, 85%)
Indonesia 2003
16,049
31%
51% (48%, 53%)
65% (57%, 73%)
Indonesia 2007
20,592
34%
49% (48%, 51%)
44% (39%, 49%)
Indonesia 2012
19,788
35%
52% (49%, 54%)
46% (39%, 53%)
Jordan 1990
9,308
28%
47% (44%, 51%)
67% (55%, 79%)
Jordan 1997
6,408
27%
54% (50%, 59%)
100% (84%, 119%)
Jordan 2002
7,098
23%
48% (43%, 53%)
108% (88%, 130%)
Jordan 2009
13,691
23%
52% (47%, 56%)
123% (104%, 141%)
Jordan 2012
11,205
26%
54% (48%, 59%)
106% (84%, 128%)
Kenya 1993
6,514
29%
45% (42%, 48%)
55% (46%, 65%)
Kenya 1998
5,789
28%
51% (48%, 53%)
83% (73%, 93%)
Kenya 2009
5,412
20%
48% (45%, 51%)
136% (120%, 150%)
Kenya 2014
23,924
16%
44% (42%, 46%)
179% (166%, 192%)
(Continued) PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 16 / 23 Measure inequality within and between groups of births and to identify left behind populations in LMIC (Continued) PLOS ONE PLOS ONE Table 3. https://doi.org/10.1371/journal.pone.0238847.t003 PLOS ONE (Continued)
Country Year
Sample Size
Mortality Poor
Mortality High Risk
Efficiency Gains
Kazakhstan 1999
2,651
25%
50% (43%, 56%)
103% (76%, 127%)
Kyrgyzstan 1997
2,400
27%
52% (46%, 57%)
92% (71%, 110%)
Kyrgyzstan 2012
3,705
19%
53% (45%, 60%)
184% (141%, 223%)
Liberia 2009
6,871
22%
36% (35%, 38%)
65% (57%, 73%)
Liberia 2013
8,220
24%
37% (36%, 39%)
59% (51%, 66%)
Lesotho 2005
3,115
23%
46% (42%, 51%)
103% (85%, 123%)
Lesotho 2010
3,107
17%
45% (41%, 50%)
160% (134%, 185%)
Lesotho 2014
3,250
17%
44% (39%, 48%)
158% (133%, 184%)
Morocco 1992
5,422
27%
39% (36%, 42%)
46% (35%, 57%)
Morocco 2004
6,493
30%
49% (45%, 53%)
63% (50%, 76%)
Moldova 2005
1,744
21%
88% (72%, 96%)
317% (244%, 358%)
Madagascar 1997
5,960
19%
36% (34%, 38%)
93% (83%, 103%)
Madagascar 2004
5,268
30%
45% (42%, 48%)
50% (40%, 59%)
Madagascar 2009
12,686
25%
43% (41%, 45%)
73% (64%, 81%)
Mali 1996
9,960
24%
30% (29%, 31%)
26% (22%, 30%)
Mali 2001
13,031
21%
32% (31%, 33%)
56% (52%, 59%)
Mali 2006
15,201
23%
33% (32%, 34%)
45% (41%, 49%)
Mali 2013
9,249
21%
47% (45%, 48%)
122% (113%, 131%)
Malawi 1992
4,746
21%
34% (33%, 36%)
62% (54%, 69%)
Malawi 2005
9,663
24%
34% (32%, 35%)
42% (35%, 48%)
Malawi 2010
20,677
22%
34% (33%, 35%)
53% (47%, 58%)
Malawi 2016
16,793
24%
41% (39%, 43%)
70% (61%, 77%)
Mozambique 1997
6,834
23%
39% (38%, 41%)
72% (65%, 78%)
Mozambique 2004
8,942
19%
36% (34%, 37%)
91% (83%, 99%)
Mozambique 2011
10,379
24%
42% (40%, 44%)
77% (69%, 85%)
Nicaragua 1998
8,665
20%
46% (43%, 49%)
131% (115%, 147%)
Nicaragua 2001
9,008
23%
43% (40%, 47%)
87% (72%, 103%)
Nigeria 1990
8,696
25%
43% (42%, 45%)
70% (65%, 75%)
Nigeria 2003
5,848
22%
36% (34%, 37%)
61% (54%, 67%)
Nigeria 2008
30,182
24%
37% (36%, 37%)
55% (52%, 58%)
Nigeria 2013
34,186
26%
40% (39%, 41%)
56% (53%, 58%)
Niger 1998
7,644
18%
32% (31%, 33%)
81% (75%, 86%)
Niger 2006
9,820
17%
35% (33%, 36%)
106% (98%, 114%)
Niger 2012
13,573
20%
37% (36%, 39%)
84% (77%, 89%)
Namibia 1992
3,692
22%
46% (43%, 49%)
104% (91%, 118%)
Namibia 2000
4,354
23%
55% (50%, 59%)
138% (119%, 157%)
Namibia 2007
4,668
29%
50% (46%, 54%)
73% (59%, 87%)
Namibia 2013
4,691
22%
51% (46%, 56%)
130% (108%, 152%)
Pakistan 1991
8,356
20%
46% (45%, 48%)
129% (120%, 138%)
Pakistan 2007
9,531
26%
47% (44%, 49%)
78% (69%, 87%)
Pakistan 2013
11,854
26%
42% (40%, 44%)
64% (56%, 71%)
Peru 1992
9,085
27%
44% (42%, 46%)
66% (58%, 74%)
Peru 1996
19,554
28%
42% (40%, 44%)
51% (45%, 58%)
Peru 2000
17,334
29%
42% (40%, 44%)
48% (41%, 54%)
Peru 2008
13,739
30%
45% (41%, 49%)
48% (35%, 60%)
Peru 2012
31,443
32%
44% (41%, 46%)
35% (27%, 42%)
(Continued) PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 17 / 23 Measure inequality within and between groups of births and to identify left behind populations in LMIC PLOS ONE (Continued)
Country Year
Sample Size
Mortality Poor
Mortality High Risk
Efficiency Gains
Paraguay 1990
4,375
22%
48% (43%, 53%)
118% (96%, 139%)
Philippines 1993
9,340
27%
48% (46%, 51%)
78% (68%, 87%)
Philippines 1998
8,361
27%
50% (46%, 53%)
84% (72%, 97%)
Philippines 2003
7,863
33%
53% (49%, 58%)
63% (50%, 77%)
Philippines 2008
7,480
29%
54% (50%, 58%)
83% (70%, 97%)
Philippines 2013
8,159
32%
56% (51%, 61%)
77% (62%, 92%)
Rwanda 1992
6,071
18%
37% (35%, 38%)
99% (90%, 109%)
Rwanda 2005
9,139
22%
34% (32%, 35%)
52% (46%, 58%)
Rwanda 2008
4,865
18%
43% (41%, 45%)
143% (130%, 156%)
Rwanda 2015
8,096
24%
41% (38%, 45%)
74% (60%, 88%)
Sierra Leone 2008
6,413
23%
40% (38%, 42%)
71% (63%, 78%)
Sierra Leone 2013
13,981
22%
36% (35%, 37%)
64% (59%, 69%)
Senegal 1997
7,311
24%
34% (32%, 36%)
41% (33%, 49%)
Senegal 2005
10,284
26%
36% (34%, 37%)
36% (30%, 42%)
Senegal 2009
13,229
24%
36% (34%, 37%)
49% (43%, 55%)
Senegal 2015
12,606
27%
38% (36%, 40%)
45% (37%, 52%)
Sao Tome and Principe 2009
1,685
19%
54% (48%, 60%)
181% (150%, 212%)
Togo 1998
7,211
22%
33% (32%, 35%)
51% (43%, 58%)
Togo 2014
6,901
24%
40% (38%, 43%)
70% (60%, 80%)
Timor-Leste 2010
9,499
22%
42% (39%, 44%)
87% (76%, 97%)
Turkey 1993
4,998
33%
49% (45%, 52%)
47% (38%, 56%)
Turkey 1998
4,162
31%
51% (46%, 56%)
64% (48%, 78%)
Turkey 2004
4,765
30%
51% (47%, 55%)
68% (54%, 81%)
Tanzania 1999
6,715
20%
36% (33%, 37%)
81% (70%, 90%)
Tanzania 2005
7,200
23%
36% (34%, 38%)
55% (46%, 63%)
Tanzania 2010
11,262
25%
38% (36%, 40%)
54% (47%, 61%)
Tanzania 2016
8,745
21%
40% (37%, 42%)
86% (73%, 99%)
Ukraine 2007
1,494
19%
87% (65%, 100%)
350% (233%, 417%)
Uganda 1995
6,244
25%
35% (33%, 37%)
43% (35%, 51%)
Uganda 2001
5,933
25%
36% (34%, 38%)
46% (37%, 55%)
Uganda 2010
5,912
24%
36% (34%, 38%)
47% (38%, 56%)
Uganda 2011
7,852
24%
37% (35%, 39%)
57% (47%, 65%)
Uzbekistan 1996
2,656
24%
55% (50%, 60%)
129% (109%, 153%)
Vietnam 2002
4,060
29%
54% (47%, 59%)
83% (61%, 102%)
South Africa 1998
5,564
33%
48% (44%, 53%)
45% (31%, 58%)
Zambia 1997
5,614
23%
35% (34%, 37%)
52% (45%, 61%)
Zambia 2002
6,027
24%
35% (33%, 37%)
46% (39%, 55%)
Zambia 2007
5,808
16%
36% (34%, 38%)
122% (108%, 135%)
Zambia 2014
12,324
26%
42% (39%, 44%)
61% (51%, 69%)
Zimbabwe 1994
4,622
21%
47% (43%, 50%)
122% (103%, 141%)
Zimbabwe 1999
3,713
21%
50% (46%, 54%)
135% (115%, 153%)
Zimbabwe 2006
4,357
19%
46% (41%, 50%)
137% (112%, 162%)
Zimbabwe 2011
4,374
20%
49% (45%, 54%)
146% (124%, 168%)
Zimbabwe 2015
5,726
25%
44% (41%, 46%)
72% (61%, 82%)
https://doi.org/10.1371/journal.pone.0238847.t003 PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 18 / 23 PLOS ONE Measure inequality within and between groups of births and to identify left behind populations in LMIC of child mortality—is far from the typical (modal) mortality risk experienced by most births. PLOS ONE Third, we show that poverty status alone, while important, is a poor proxy for being at the
higher risk of an an early death than the general population. All these findings have important
policy implications. In addition, we have developed new methods to analyse inequality in mor-
tality risk which have broad applicability. While quantifying inequality in under-5 mortality between socioeconomic groups is impor-
tant it misses a larger within-group inequality. In particular, we have shown that for most
countries socioeconomic group explains less than 5% of the total variability in mortality. Even
in countries where socioeconomic inequality matters the most, socioeconomic group explains
very little of the variation in U5MR. For example, socioeconomic status explains 11% of
U5MR in Bolivia and 22% in India. This means that there is a large overlap in mortality risk
among births from different socioeconomic groups and, as a consequence, there is a large a
number of high risk individuals outside that poorest group. In addition, being born to a partic-
ular country does not predict your mortality risk very well, which means that between country
comparisons also miss most of the variability in mortality risk. In addition of being incomplete, between country comparisons are often done in terms of
average level of child mortality. However, we show that countries’ distributions of mortality
risk are right skewed because some births experience substantially higher mortality risk than
the national averages. These are left behind populations who are largely unnoticed when we
only look at average mortality in socioeconomic groups. The typical modal mortality rate in
each country is very different from the national averages of child mortality. Thus between-
country comparisons using national averages are not comparing typical mortality levels
between countries. Finally, most equity based policy strategies that target births are based on a single risk fac-
tor, usually poverty status. However, efficiency gains from targeting the 20% highest risk births
versus the 20% poorest are substantively important for all countries that we have data for, with
efficiency gains ranging from 26% in Mali (1996), to more than 550% in Guyana (2009), likely
due to the fact that it is one of the few countries with an apparent decrease in mortality risk
with increasing wealth. PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 PLOS ONE Thus we are not suggesting major changes in interven-
tions targeting high risk populations. Instead, we are proposing a new methodology that
combines information from multiple well known risk factors simultaneously to identify high
risk births. Our approach considers interactions among risk factors that are readily available
for LMIC via nationally representative health surveys, and frees researchers and policy makers
from having to decide which risk factors capture most of the inequality in each country-year. The methods developed in this paper have broader applicability and are flexible enough to
be applied to a number of different scenarios. For example, some countries with good vital reg-
istration system could use their administrative data instead of surveys. When people wish to
implement an intervention in a particular country, our methodology points the way to a more
targeted and impactful intervention. Implementers will need to choose variables, and they may
choose different predictors than we have chosen, depending on data available and political and
medical considerations. This is acceptable and something we consider a necessary part of
implementing our methods in practice. Our recommendations are also related to a large body of literature in medicine and public
health that develops risk scores for individuals to identify those at risk of some event. These
scores have been applied to a variety of outcomes and our results suggest the possible useful-
ness of such scores for identification of high risk children. [35] Our approach requires repre-
sentative surveys of the population, such as DHS or Multiple Indicator Cluster Surveys
(MICS) so that we can rank children by mortality risk based on demographics. Policy makers
could use mobile apps, which are now widely used for data collection, to collect and combine
information on the children, calculate their risk, and then check whether their score is above
or below a pre-determined threshold. We would not suggest a single risk score for the entire
world. Rather, we would develop a score for each country, and we would update the score as
new data became available. The calculus of the efficiency gains assumes that interventions have the same costs for
each birth. In reality, costs need to be adjusted according to local conditions. However, our
approach provides a baseline to which any other allocation algorithm should be compared. Every comparison allocation scheme also needs to accommodate costs, not just our allocation
scheme. PLOS ONE Although the 20% highest risk births are usually the poorest and from
rural areas, as might be expected, including other risk factors and their interactions consider-
ably improves the identification of left behind individuals. One previously overlooked characteristic is the importance of having experienced a prior
death of a child. [28, 29] This is likely the case because this variable represents several unmea-
sured risk factors at the maternal level. However, it is an observable variable and can be the
object of policy targeting. And it should be used to do so. We find that this is a particularly
important characteristic for Sub-Saharan Africa countries in our sample. For these countries,
just targeting mothers that have already experienced the death of a child could be an effective
way to reach high risk populations. Taken together these results support the view that measuring national averages of under-
5 mortality is insufficient to identify left behind groups. [5, 30–34] The concerns raised by
United Nations General Assembly Resolution 68/261 are real and important, and we have
shown that policy makers and international agencies should routinely implement disaggre-
gation of inequality measures by several demographic variables simultaneously. [4] However,
our findings suggest that monitoring inequality between socioeconomic groups of births
may not enable policy makers to accurately identify many left behind children. We recom-
mend using nationally representative surveys or administrative data to estimate mortality
risk at the individual level to identify left behind populations that can be the target of inter-
ventions. We also recommend our methods to properly quantify and monitor high risk
populations. 19 / 23 PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 PLOS ONE Measure inequality within and between groups of births and to identify left behind populations in LMIC Our findings should not be interpreted as recommending against targeting the poor. Pov-
erty alone is not the best guide for equity based policies because other risk factors are also
important. Poverty status needs to be combined with other available information to identify
high risk births. This is important for both low and high mortality countries, because children
in need are spread out across socioeconomic groups. Further, since high risk children tend to
be poor and from rural areas, most interventions that work for the poorest children will proba-
bly work for the highest risk children. Author Contributions Conceptualization: Antonio P. Ramos, Robert E. Weiss. Conceptualization: Antonio P. Ramos, Robert E. Weiss. Data curation: Antonio P. Ramos. Formal analysis: Antonio P. Ramos, Martin J. Flores. Funding acquisition: Antonio P. Ramos. Investigation: Antonio P. Ramos. Methodology: Antonio P. Ramos, Martin J. Flores, Robert E. Weiss. Project administration: Antonio P. Ramos. Software: Martin J. Flores. Supervision: Robert E. Weiss. Writing – original draft: Antonio P. Ramos, Martin J. Flores. Writing – review & editing: Antonio P. Ramos, Martin J. Flores, Robert E. Weiss. Methodology: Antonio P. Ramos, Martin J. Flores, Robert E. Weiss. Project administration: Antonio P. Ramos. Writing – original draft: Antonio P. Ramos, Martin J. Flores. Writing – review & editing: Antonio P. Ramos, Martin J. Flores, Robert E. Weiss. Supporting information S1 Appendix. [36]. (PDF) PLOS ONE For example, targeting the poor is likely easier in urban settings than in rural settings,
and this would be a differential cost for the simple “intervene with the poor” intervention. It is
possible to incorporate costs; one would multiply estimated probability of mortality times cost,
then follow our same procedure to identify a combination of cheapest and most at risk to
intervene with, until the budget had been spent. Instead of identifying the 20% most at risk,
one would tabulate costs until the allocation funds had been spent. No matter differential
costs, combining information from multiple observable risk factors better identifies high risk
populations. Having identified higher risk populations, public health officials can then work to
bring down costs, and best target at-risk births. Our methodology has not explicitly included the complex sampling design from the DHS. We did this to create a more parsimonious set of methodological innovations. We treated
DHS samples as a random sample. However, we have included all variables used to stratify
the surveys, which implicitly incorporates some of the sample design in our analysis. Future
research should explicitly incorporate survey design. 20 / 23 PLOS ONE | https://doi.org/10.1371/journal.pone.0238847
October 14, 2020 PLOS ONE Measure inequality within and between groups of births and to identify left behind populations in LMIC In conclusion, our results show that despite progress toward reducing national averages of
under-5 mortality, we still have substantial inequality within groups of births defined by com-
monly used stratifiers that measure progress toward SDG’s. Our results suggest that research-
ers and policy makers should also quantify inequality in mortality risk within groups of births
in addition to between-groups comparisons. Quantifying both between and within group
inequality helps us to have an accurate picture of inequality in under-5 mortality and to iden-
tify left behind populations that otherwise cannot be easily identified. References 1. Moser KA, Leon DA, Gwatkin DR. How does progress towards the child mortality millennium develop-
ment goal affect inequalities between the poorest and least poor? Analysis of Demographic and Health
Survey data. British Medical Journal. 2005; 331 (7526). https://doi.org/10.1136/bmj.38659.588125.79
PMID: 16284209 2. Stuckler D, Basu S, Mckee M. Drivers of inequality in Millennium Development Goal progress: a statisti-
cal analysis. PLoS Medicine. 2010; 7(3):e1000241. https://doi.org/10.1371/journal.pmed.1000241
PMID: 20209000 3. Mullholand E, Smith L, Carneiro I, Becher H, Lehmann D. Equity and Child Survival Strategies. Bulletin
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https://openalex.org/W4285678243
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https://periodicos.ufms.br/index.php/orbital/article/download/16204/11003
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English
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Effects of Different Irrigation Solutions on the Chemical Composition of Multi-Root Canals of Radicular Dentine in Upper Premolar Teeth
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Orbital
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cc-by
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Graphical abstract Graphical abstract Keywords
Root canal irrigation solutions
Upper premolar teeth
Radicular dentin
X-ray fluorescence
Major and minor elements
Article history
Received 17 Fev 2022
Revised 26 Jun 2022
Accepted 27 Jun 2022
Available online 06 Jul 2022
Handling Editor: Marcelo Oliveira a Endodontic and Operative Dentistry Department, College of Dentistry, Damascus University, Damascus, Syrian Arab Republic. b
Department of Chemistry, Atomic Energy Commission of Syria (AECS), P. O. Box 6091, Damascus, Syrian Arab Republic. *Corresponding
author. E-mail: morgana.quteifan@yahoo.com Orbital: Electron. J. Chem. 2022, 14(2), 95-102 Orbital: Electron. J. Chem. 2022, 14(2), 95-102 Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br Effects of Different Irrigation Solutions on the Chemical
Composition of Multi-Root Canals of Radicular Dentine
in Upper Premolar Teeth Morgana Quteifani Quteifan * a and Ali Khuder b The objective of this research was to assess the effects of several irrigation solutions (ISOLs) on two major (P
and Ca) and some minor (Fe, Zn, and Sr) elements of multi-root canals of radicular dentin in upper premolar teeth
using X-ray fluorescence analysis (XRF). Powder of fifty radicular dentin specimens were prepared and divided
into five groups based on treatments with different single and combined ISOLs. These groups were: G1-distilled
water (control); G2- sodium hypochlorite (NaOCl, 5.25%); G3- sodium hypochlorite (NaOCl, 5.25%) and
ethylendiaminetetraacetic acid (EDTA, 17%); G4- distilled water and a mixture of tetracycline, an acid, and a
detergent (MTAD); and G5- sodium hypochlorite (NaOCl, 1.3%) and MTAD. The XRF results confirmed that the
ISOL G5 (Ca/P=1.6254) was the most effective one. The ratio-to-ratio correlations revealed the common origins
of Fe, Zn, and Sr in root canals of radicular dentin, which was highly interacted with the major elements of P and
Ca each. These interactions were insignificantly affected by the used ISOLs. Finally, XRF is highly recommended
as a safe, fast, nondestructive, and relatively not expensive technique to analyze the endodontic therapy of teeth. Graphical abstract
1 I t
d
ti 2.2 XRF measurements The measurements of dentin powders were performed
using XRF instrument, which was assembled by the Syrian
Atomic Energy Commission. The detector was PGT Si(Li) with
an energy resolution of 160 eV at 5.9 keV and the preamplifier
was a GAMMA-PGT system 4000 (Amp., ADC and MCA). The
XRF instrument was equipped with a 2 kW Mo tube. Three
secondary targets, i.e. Ti, Cu, and Mo, were used for X-ray
excitations of (P), (Fe), and (Ca, Zn, and Sr) in teeth specimens
with the operating conditions of (35 mA and 40 kV), (10 mA
and 35 kV), and (20 mA and 35 kV), respectively. The live time
was 2000 s for each of the X-ray excitation modes. The
elements in the obtained spectra were determined using AXIL-
QXAS software package, which was developed in the
International Atomic Energy Agency (IAEA) [19]. One primary objective in the root canal treatments is to
ensure chemomechanical removal of the microorganisms and
organic/inorganic tissue residues from the infected root
canals. Studies in the literature report that due to the structure
of the root canals, mechanical instrumentation alone could
not perform a satisfying cleaning in the canal. In ex vivo and
clinical studies, some areas have remained unreached and
infected, thus irrigation has played a key role in the
achievement of root canal treatments [17, 18]. The accuracy of XRF method was checked by the analysis
of SRM 1486 - Bone Meal, NIST standard sample; while, the
hydroxyapatite salt (Ca5(PO4)3.OH, GR, Merck, Darmstadt,
Germany) was used for estimation of only P accuracy. To
establish the reproducibility of the instrumental technique, five
different standard samples with masses of 0.200 g each were
put in polyethylene cups, having sample area of approximately
0.2826 cm2. The cups were covered from one side with Mylar
foils and sequentially exposed to XRF excitations using the
previously mentioned operating conditions and modes. In a
similar way as for the standard samples, the teeth powders
were prepared and measured by XRF. 1. Introduction Teeth are a composite of organic, inorganic, and water
fractions in various amounts. The organic components may
consist of reacted coagulated proteins, necrotic or viable pulp
tissue, odontoblastic processes, and microorganisms [1, 2]. The
inorganic
phase
consists
of
the
unit
cell
(Ca,X)10(P,C)6(O,OH)26,in which Ca and P are the two main elements in teeth [3]. Any change in the Ca:P ratio may change
the original proportion of the organic and inorganic
components, which in turn changes different properties of the
tooth such as microhardness, permeability, and solubility
characteristics of dentin and may also adversely affect the
sealing ability and adhesion of dental materials such as resin- a Endodontic and Operative Dentistry Department, College of Dentistry, Damascus University, Damascus, Syrian Arab Republic. b
Department of Chemistry, Atomic Energy Commission of Syria (AECS), P. O. Box 6091, Damascus, Syrian Arab Republic. *Corresponding
author. E-mail: morgana.quteifan@yahoo.com Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br 95 Orbital: Electron. J. Chem. 2022, 14(2), 95-102 based cements and root canal sealers to dentin [4]. Changes
in the Ca:P ratio may be caused by the chelating agents, which
are used to improve chemomechanical debridement in the
root canal treatment by removing the smear layer created
during root canal instrumentation and composed of dentin
structure and some nonspecific inorganic contaminants [1, 5]. out using reciprocation files and rotary instrumentation
systems [20]. Then the specimens were stored in normal
saline solution until used. The crowns of the teeth were
removed at the cementoenamel junction using diamond disc
(Brasseler, Savannah, GA, USA). Afterward, the digital X Rays
of the specimens were performed to ensure that they are free
from caries, fractures, and damages [20]. In addition to the previous two major elements, teeth
accumulate a variety of minor elements such Sr, Zn, and Fe,
which can be ingested by humans via different routes,
including mainly food and water sources [6-8]. Strontium and
Zn can enrich in teeth by substituting in hydroxyapatite [9, 10]. A negative correlation between Ca and Sr in main parts of
teeth, e.g. the enamel and cementum, was obtained,
confirming that Ca can be substituted by Sr either as a whole
or in fractions for the formation of hydroxyapatite [9]. Zinc is
readily acquired by synthetic hydroxyapatite, competing with
Ca for positions on the surface of the apatite crystal. 2.2 XRF measurements The aim of this work was to (i) assess the distributions of
P and Ca as major elements and Fe, Zn, and Sr as minor
elements in root canals of radicular dentine in upper premolar
teeth using XRF technique; (ii) study the effect of several
single and combined ISOLs on the chemical composition of
root canal regimes; and (iii) study the mutual interactions
between the previously mentioned major and minor elements
in the control and the irrigation treatment groups. 1. Introduction Zinc
pretreatment of hydroxyapatite produces a resistance to acid
dissolution similar in magnitude to that produced by
equivalent molar concentrations of fluoride [11]. Among the
minor elements studied in this work, Fe is presented in teeth
and its ions (Fe3+) can induce the formation of apatite of high
crystallinity and these ions can inhibit caries progression [12]. The teeth were randomly divided into the following five
groups (n=10) according to protocol of ISOLs used. Group I-
G1, the root canal dentin tissues were irrigated for 20 minutes
with 5 mL of distilled water. Group II-G2, the root canal dentin
tissues were irrigated for 20 minutes with 5 mL of5.25% NaOCl
(Clorox, KSA). Group III-G3, the root canal dentin tissues were
irrigated for 19 minutes with 5 mL of NaOCl 5.25%, then for 1
minute with 5 mL of 17% EDTA (META BIOMED CO., LTD
Republic of Korea). Group IV-G4, the root canal dentin tissues
were irrigated for 15 minutes with 5 mL of distilled water, then
for 5 minutes with 5 mL of BioPure MTAD as instructed by the
company (Tulsa Dental Specialties Company, OK, USA). Finally, Group V-G5, the root canal dentin tissues were
irrigated for 15 minutes with 5 mL of 1.3% NaOCl, then for 5
minutes with 5 mL of BioPure MTAD. Dentin powders were obtained by Gates-Glidden burs after
using the ISOLs. The powder of each canal dentin was kept in
5 cm3 sterilized plastic vial for further XRF analysis. Major and minor elements in teeth were analyzed using
methods from different techniques, i.e., atomic absorption
spectroscopy (AAS) and inductively coupled plasma mass
spectroscopy (ICP-MS) were becoming more routine, but they
are considered destructive techniques [3,13]. Proton induced
X-ray emission (PIXE) [9, 14] and X-ray fluorescence (XRF) [15,
16] were used for multi-elemental non-destructive analysis of
teeth samples. XRF showed a very fast, simultaneous, reliable,
quantitative, multi-elemental and non-destructive technique
with a very good ability to determine major and minor
elements in a wide range of concentrations. Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br 3.1 XRF measurements The suitability of XRF method for the determination of the
elements in dentin powders was checked by estimation of the
accuracy (A), the precision (P), and the limits of detection
(LOD). The A values were determined by the percentages of
the relative differences between the obtained and the certified
values of Ca, Fe, Zn, and Sr in five different subsamples (n = 5)
of the bone meal standard reference material (SRM 1486 -
Bone Meal, NIST), while the accuracy of P was determined by
measurements of five different subsamples (n = 5) of the
apatite reference sample. The results in Table 1 showed that
there were no significant differences between the obtained
elemental concentrations and the certified values (P>0.05)
according to Student’s t-test for independent samples. The lower limits of detection (LOD) of the analyzed
elements were estimated using the equation (1) [21]: LOD = (3/S)√(Ib/t),
(1) (1) Where, S is the sensitivity (net peak counts per second per
concentration); Ib is the intensity of the background of the
respective peak (counts per second); and t is the counting
time (s). Where, S is the sensitivity (net peak counts per second per
concentration); Ib is the intensity of the background of the
respective peak (counts per second); and t is the counting
time (s). The results in Table 1 showed that all studied elements
were with concentrations much higher than the obtained LOD
values. Table 1. Characterization of element determination in the standard samples using XRF technique with different secondary targets
Element
Standard
Secondary
targeta
Obtained
concentration
Certified
values
(A%)b
(P%)c
(LOD)d
pe
P (%)
hydroxyapatite
Ti
18.1±0.4
18.5
-2.16
±2.21
0.484
0.085
Ca (%)
bone meal SRM
Mo
26.4±1.4
26.58
-0.677
±5.30
0.040
0.826
Fe (µg/g)
bone meal SRM
Cu
104±5
99
+5.05
±4.81
3.68
0.291
Zn (µg/g)
bone meal SRM
Mo
158±13
147
+7.48
±8.23
6.25
0.255
Sr (µg/g)
bone meal SRM
Mo
266±15
264
+0.758
±5.53
1.90
0.773
a The operating conditions were (35 mA and 40 kV) for P; (20 mA and 35 kV) for Ca, Zn, and Sr; and (10 mA and 35 kV) for Fe; collecting
time was 2000 s for all used XRF targets each. b the percent accuracy, which is estimated by dividing the difference between the obtained
and the certified values by the certified value and multiply the result by 100. Orbital: Electron. J. Chem. 2022, 14(2), 95-102 Orbital: Electron. J. Chem. 2022, 14(2), 95-102 Orbital: Electron. J. Chem. 2022, 14(2), 95-102 The precision of XRF measurements was evaluated in
terms of the relative standard deviation (RSD = SD/Ci)×100,
where SD is the standard deviation and Ci is the mean of ith
element concentrations. The results showed that the
precision was better than ± 8.3% for all determined elements. 3.1 XRF measurements c the percent precision, which is estimated by dividing the
standard deviation by the obtained concentration and multiplying the result by 100. d the limits of detection. e the probability. Ca (%)
bone meal SRM
Mo
26.4±1.4
26.58
-0.677
±5.30
0.040
0.826
Fe (µg/g)
bone meal SRM
Cu
104±5
99
+5.05
±4.81
3.68
0.291
Zn (µg/g)
bone meal SRM
Mo
158±13
147
+7.48
±8.23
6.25
0.255
Sr (µg/g)
bone meal SRM
Mo
266±15
264
+0.758
±5.53
1.90
0.773
a The operating conditions were (35 mA and 40 kV) for P; (20 mA and 35 kV) for Ca, Zn, and Sr; and (10 mA and 35 kV) for Fe; collecting
time was 2000 s for all used XRF targets each. b the percent accuracy, which is estimated by dividing the difference between the obtained
and the certified values by the certified value and multiply the result by 100. c the percent precision, which is estimated by dividing the
standard deviation by the obtained concentration and multiplying the result by 100. d the limits of detection. e the probability. Sr (µg/g)
bone meal SRM
Mo
266±15
264
+0.758
±5.53
1.90
0.773
a The operating conditions were (35 mA and 40 kV) for P; (20 mA and 35 kV) for Ca, Zn, and Sr; and (10 mA and 35 kV) for Fe; collecting
time was 2000 s for all used XRF targets each. b the percent accuracy, which is estimated by dividing the difference between the obtained
and the certified values by the certified value and multiply the result by 100. c the percent precision, which is estimated by dividing the
standard deviation by the obtained concentration and multiplying the result by 100. d the limits of detection. e the probability. The operating conditions were (35 mA and 40 kV) for P; (20 mA and 35 kV) for Ca, Zn, and Sr; and (10 mA and 35 kV
time was 2000 s for all used XRF targets each. b the percent accuracy, which is estimated by dividing the difference bet
and the certified values by the certified value and multiply the result by 100. c the percent precision, which is estimat
standard deviation by the obtained concentration and multiplying the result by 100. d the limits of detection. e the proba 3.2 Root canal dentin analysis 434) µg/g. This could be explained as a result of high-protein
diets, which characterized many individuals in the country;
taking into account that, beef and lamb, as well as nuts, whole
grains, and legumes are significant sources of zinc in the diet
[23]. According to the previously mentioned reasons, diet and
other individual factors could affect the Zn distributions in
teeth specimens. Fifty fine and homogenized specimens of the collected
root canal dentins were analyzed by the XRF technique with
the previously mentioned operating conditions and modes. The XRF results of P, Ca, Fe, Zn, and Sr in the powders of the
root canal dentins are shown in Table 2. 3.4.1 Major elements A very well positive linear relationship was obtained
between the concentration means of P and Ca in the treatment
groups (Fig. 1). The coefficient of determination (R2) was with
a value of 0.9996. The results in Fig. 1 also shows a very
interesting correlation between the ratios of Ca/P and the
concentration means of P with R2 value of 0.9974. It was
obviously that, the least value of Ca/P was for the control
group (1.5145), accepting those obtained in literature [24]. Distilled water (DW) was used in the control group (G1) as an
ISOL, which had only a mechanical flushing action to remove
material from the root canal system [25]. According to this
application, the instrumented specimens in G1 group were
expected to contain significant amounts of P not only in the
hydroxyapatite fraction form, but also in the organic and the
remnant fraction forms. Depending on latter interpretation,
higher P concentrations and thus a minimal ratio of Ca/P was
expected to find in the control group compared to the other
treatment groups. As a result, the different ratios of Ca/P
means were to reflect the different effects of the single and
the combined ISOLs on the chemical compositions of the
organic and inorganic fractions of the root canal dentin
tissues. Overall, Ca/P ratios were increased in the following
order: The results showed that P and Ca were the two main
elements in the root canals dentin specimens of the control
group with mean values of 17.3±0.9% and 26.2±0.8%,
respectively. These two elements were normally distributed
with relatively narrow ranges of P (16.0-18.6%) and Ca (25.0-
27.1%), accepting the results obtained in literature [3,4,10],
where P and Ca were distributed homogenously through the
root dentin tissues. The results also showed that, the normal
distributions of P and Ca were not influenced by treatments
using the ISOLs. In addition, the normality was obtained for the
minor elements in the control and the treatment groups,
except two instances belonged to Zn in control (G1) and G2
treatment groups. Accordingly, Fe and Sr were normally
distributed in the control group with concentration values of
69.0 (28-132) µg/g and 102 (48-154) µg/g, respectively, which
were in good agreement with those reported in literature
[3,14]. 3.4 ISOLs effects Several workers reported that X-ray fluorescence (XRF) is
a useful technique for the analysis of major and minor
elements in teeth samples [15,16,22]. In the present work, XRF
showed the possibility to determine P and Ca as two major
elements and Fe, Zn, and Sr as three minor elements in the
root canal dentin powders. Table 2 shows the XRF results of
the means, the medians and the ranges of the studied
elements in the root canal dentin specimens. 2.3 Statistics This study was approved by the Research Ethics
Committee at Damascus University. All patients signed an
informed consent to use their teeth in this study. Fifty human
teeth samples were collected from the patients who visited
the dental clinics at the faculty of dentistry in Damascus
University for orthodontic reasons. The teeth were extracted
from the first upper molars of the left side of adults aged 20-
35 year. The teeth were put in sodium hypochlorite NaOCl
5.25% for 2 hours [19]. Apical extrusion of debris was carried The normal distributions of data were examined using
Shapiro-Wilk test. The significant differences (p = 0.05)
between the concentration means of the studied elements in
treatment groups (G2-G5) and those in control group (G1)
were analyzed with Tukey’s honest significance test and
Mann-Whitney U test. Pearson correlation analysis was used
to investigate the mutual relations between each pair of the
studied elements. Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br 96 Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br 3.4.1 Major elements G1, G2, G3, G4, and G5 are the treatment groups with
distilled water (DW), 5.25% NaOCl, 5.25% NaOCl+17% EDTA,
DW+MTAD, and 1.3% NaOCl+MTAD ISOLs, respectively. Fig. 2. Relative changes (RC) in P (a) and Ca (b) concentration
means in root canal dentin tissues caused by different ISOLs. G1 is the control group; G2, G3, G4, and G5 are the treatment
groups; SE and SD are the standard error and standard
deviation, respectively. Fig. 1. Relationships of Ca and Ca/P versus P concentration. means. G1, G2, G3, G4, and G5 are the treatment groups with
distilled water (DW), 5.25% NaOCl, 5.25% NaOCl+17% EDTA,
DW+MTAD, and 1.3% NaOCl+MTAD ISOLs, respectively. Fig. 2 shows the relative changes of P and Ca
concentration means with the standard errors (SE) and the
standard deviations (SD) in all studied treatment groups. The
results shows significant negative changes (p<0.05) in P and
Ca each in all treatment groups compared to the control. Thus,
in the instance where the NaOCl ISOL in G2 treatment group
was used, the significant RC(P) and RC(Ca) (p<0.05) with
values of -0.127 and -0.052, respectively, were obtained;
indicating significant losses in P and Ca concentrations, which
could occur as a result of proteins losses from the organic
components found in dentin canal system [4,26]. While, in the
instance of MTAD ISOL use in G4 treatment group, the RC(P)
and RC(Ca) values were of -0.153 and -0.106, respectively;
indicating higher losses of P and Ca compared to those
obtained in G2 group. This result confirmed the higher efficacy
of MTAD ISOL in comparison to that of NaOCl. In the instance
of G3 irrigation treatment group, the use of the combined
ISOLs of 5.25% NaOCl+17% EDTA revealed RC(P) value of -
0.115, confirming the negligible effect of 17% EDTA ISOL on P
distribution when it was used after NaOCl. This could be
explained by the fact that, dentin has a dense collagen
network covered by hydroxyapatite; thus, when NaOCl used
before EDTA, the hydroxyapatite coating appeared to protect Fig. 2. Relative changes (RC) in P (a) and Ca (b) concentration
means in root canal dentin tissues caused by different ISOLs. G1 is the control group; G2, G3, G4, and G5 are the treatment
groups; SE and SD are the standard error and standard
deviation, respectively. 3.4.1 Major elements On the other hand, Zn concentrations in the control
group were positively skewed with mean value of 273 (215- (Ca/P)G1=1.5145<(Ca/P)G3=1.5849<(Ca/P)G2=1.5958<(Ca/ Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br 97 Orbital: Electron. J. Chem. 2022, 14(2), 95-102 Orbital: Electron. J. Chem. 2022, 14(2), 95-102 Orbital: Electron. J. Chem. 2022, 14(2), 95-102 P)G4=1.6100<(Ca/P)G5=1.6254 Where RC(P) and RC(Ca) are the relative changes of P and Ca
concentration means, respectively; Gi is the ith group; PG1 and
CaG1 are the concentration means of P and Ca in control
group (G1), respectively. Where RC(P) and RC(Ca) are the relative changes of P and Ca
concentration means, respectively; Gi is the ith group; PG1 and
CaG1 are the concentration means of P and Ca in control
group (G1), respectively. Table 2. Means, medians and ranges of concentrations of elements in powders of root canals of radicular dentin specimens, following
treatment with different test solutions
Groupa
Descriptive
statistics
P
(%)
Ca
(%)
Fe
(µg/g)
Zn
(µg/g)
Sr
(µg/g)
G1
Meanb
17.3±0.9
26.2±0.8
69.0±39.0
273±71
102±23
Median
17.5
26.3
59.0
249
96.8
Range
16.0-18.6
25.0-27.1
28-132
215-434
74.7-154
G2
Mean
15.1±0.1
24.8±0.8
44.3±16.3
370±172
114±15
Median
15.3
24.8
44.5
306
112
Range
13.0-17.1
23.8-26.3
24.0-77.0
222-714
92.1-138
G3
Mean
15.3±1.1
24.1±1.1
53.4±20.1
369±147
145±31
Median
15.5
24.0
49.0
345
139
Range
13.6-17.2
22.4-26.2
30.0-81.0
163-704
109-207
G4
Mean
14.6±1.4
23.4±1.1
45.3±10.3
312±58
120±25
Median
14.5
23.4
45.0
311
128
Range
12.3-17.3
21.8-25.3
24.0-62.0
207-393
69.4-150
G5
Mean
14.1±1.2
22.8±0.3
57.0±29.9
341±97
144±42
Median
14.3
23.1
43.0
309
134
Range
11.9-15.6
22.4-23.4
34.0-108
239-526
98.7-225
a G1, G2, G3, G4, and G5 are the treatment groups of distilled water (DW), 5.25% NaOCl, 5.25% NaOCl+17% EDTA, distilled water+MTAD,
and 1.3% NaOCl+MTAD, respectively. Number of specimens in each group, n=10. b the concentration presented as mean ± standard
deviation. Table 2. Means, medians and ranges of concentrations of elements in powders of root canals of radicular dentin spe
treatment with different test solutions medians and ranges of concentrations of elements in powders of root canals of radicular dentin specimens, following
erent test solutions the collagen fibers, avoiding the direct NaOCl action [27]. Finally, the use of the combined ISOLs of 1.3% NaOCl+MTAD
(G5 irrigation treatment group) revealed the greatest negative
values of RC(P) (-0.182) and RC(Ca) (-0.114) compared to
those of other instances in this work. Fig. 1. Relationships of Ca and Ca/P versus P concentration. means. Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br 3.4.2 Minor elements The significant increase in Zn/P ratio
was obtained only for G5 treatment group with a value of
(24.3±7.2).10-4. Fig. 3b
shows
insignificant
positive
changes
in
concentration means of Zn in all treatment groups compared
to the control. This could be attributed to Zn2+ ion which has
the ability to substitute Ca2+ in the apatite lattice [30]. The
changes in Zn means were in the following order:
RC(Zn)G2≈RC(Zn)G3>RC(Zn)G5>RC(Zn)G4>RC(Zn)G1, (
)
(
)
(
)
(
)
(
)
indicating the higher substitution of Zn2+ for Ca2+ in treatment
groups with NaOCl ISOL. In addition, the ratio of Zn/Ca was
calculated. This was with a value of (10.4±2.5).10-4 for the
control group. Insignificant increases in Zn/Ca ratios were
obtained for all treatment groups, except G3, which was
estimated with a value of (15.4±6.1).10-4. The ratio of Zn/P
was also calculated. This was with a value of (15.8±4.1).10-4
for the control group. The significant increase in Zn/P ratio
was obtained only for G5 treatment group with a value of
(24.3±7.2).10-4. It is well known that, Sr is one of the component elements
of teeth and the Sr2+ ion would strongly replace Ca2+ in the
apatite lattice [3,31]. The results in Fig. 3c showed positive
changes in Sr concentration means in all irrigation treatment
groups, confirming the specific substitution ability of Sr2+ ion
for Ca2+ in the apatite lattice. The significant changes in Sr
means were obtained by using the ISOLs in G3 and G5
treatment groups. Overall, the changes in Sr means were in the
following
order: RC(Sr)G3≈RC(Sr)G5>RC(Sr)G4>RC(Sr)G2>RC(Sr)G1,
indicating the higher effect of the combined ISOLs on Sr
compared to the effect of the single ISOLs. Furthermore, the ratio of Sr/Ca was calculated with a value
of (4.95±3.40).10-4 for the control group, accepting those
obtained in literature [3]. The previous ratio was insignificantly
changed in the irrigation treatment groups. The ratio of Sr/P
was also calculated for the control group. This was with a
value of (7.42±4.83).10-4. The significant differences were
obtained for Sr/P ratios of G3, (11.0±4.7).10-4, and G5,
(10.3±3.3).10-4, compared to that ratio of the control group. 3.4.2 Minor elements Fig. 3a shows insignificant negative changes in
concentration means of Fe in all treatment groups compared
to that of the control. The relative changes in Fe means were
in
the
following
order: Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br 98 Orbital: Electron. J. Chem. 2022, 14(2), 95-102 0.75), Fe/Ca-Zn/Fe (r = -0.87), Sr/Ca-Zn/Sr (r = - 0.73), Fe/P-
Zn/Fe (r = -0.87), and Sr/P-Zn/Sr (r = -0.73); further indications
showed two strong positive correlations: Zn/Ca-Zn/Sr (r =
0.67) and Zn/P-Zn/Sr (r = 0.68). RC(Fe)G2>RC(Fe)G4>RC(Fe)G3>RC(Fe)G5>RC(Fe)G1. RC(Fe)G2>RC(Fe)G4>RC(Fe)G3>RC(Fe)G5>RC(Fe)G1. (
)
(
)
(
)
(
)
(
)
According to the previous results, the single ISOLs of NaOCl
and MTAD have more efficiencies on removing Fe from the
dentin tissues than the combined ISOLs of NaOCl+EDTA and
NaOCl+MTAD. Thus, the efficacies of EDTA as a chelating
agent to sequester metal ions such as Fe3+ [28] or MTAD as a
demineralizing agent [29] were reduced when they were used
after the ISOL of NaOCl. Finally, the results indicated that the
ratios of Fe/Ca and Fe/P for the treatment groups (G2-G5)
were insignificantly changed compared to those of the control
group: (2.63±1.44).10-4 and (3.96±2.10).104, respectively. 67) and Zn/P Zn/Sr (r 0.68). Fig. 3. Relative changes (RC) in Fe (a), Zn (b), and Sr (c)
concentrations means in root canal dentin tissues caused by
different ISOLs. G1 is the control group; G2, G3, G4, and G5 are
the treatment groups; SE and SD are the standard error and
standard deviation, respectively. In G2 treatment group, seven very strong positive
orrelations were obtained: Fe/Ca-Sr/Ca (r = 0.78), Fe/Ca g
p (
)
(
)
,
p
y
Fig. 3b
shows
insignificant
positive
changes
in
concentration means of Zn in all treatment groups compared
to the control. This could be attributed to Zn2+ ion which has
the ability to substitute Ca2+ in the apatite lattice [30]. The
changes in Zn means were in the following order:
RC(Zn)G2≈RC(Zn)G3>RC(Zn)G5>RC(Zn)G4>RC(Zn)G1,
indicating the higher substitution of Zn2+ for Ca2+ in treatment
groups with NaOCl ISOL. In addition, the ratio of Zn/Ca was
calculated. This was with a value of (10.4±2.5).10-4 for the
control group. Insignificant increases in Zn/Ca ratios were
obtained for all treatment groups, except G3, which was
estimated with a value of (15.4±6.1).10-4. The ratio of Zn/P
was also calculated. This was with a value of (15.8±4.1).10-4
for the control group. 3.4.3 Correlation study The data on element-to-element correlations in the control
and the treatment groups were studied. The results showed
only one positive strong correlation in the control group: P-Ca
(r = 0.65); while, there were two correlations in G2 treatment
group: one strong positive correlation (r = 0.69) between P-Zn
and one very strong negative correlation (r = -0.76) between
Ca-Fe. Whereas, there were no strong correlations between
the studied elements in the other treatment groups, i.e. G3, G4,
and G5. Fig. 3. Relative changes (RC) in Fe (a), Zn (b), and Sr (c)
concentrations means in root canal dentin tissues caused by
different ISOLs. G1 is the control group; G2, G3, G4, and G5 are
the treatment groups; SE and SD are the standard error and
standard deviation, respectively. In G2 treatment group, seven very strong positive
correlations were obtained: Fe/Ca-Sr/Ca (r = 0.78), Fe/Ca-
Fe/P (r = 0.93), Zn/Ca-Zn/P (r = 0.95), Zn/Ca-Zn/Sr (r = 0.91),
Zn/P-Zn/Fe (r = 0.70), Zn/P-Zn/Sr (r = 0.97), and Zn/Fe-Zn/Sr
(r = 0.72); while, there were four very strong negative
correlations: Ca/P-Fe/Ca (r = -0.77), Ca/P-Zn/Ca (r = -0.77),
Ca/P-Sr/Ca (r = -0.78), and Fe/P-Sr/Fe (r = -0.91). In G2
treatment group there was only one strong positive
correlation: Zn/Fe-Sr/Fe (r = 0.68). The data on ratio-to-ratio correlations in all treatment
groups were also studied. The results in Table 3 showed
surprisingly many strong and very strong correlations in the
studied groups. There were four very strong positive
correlations and a similar number of the very strong negative
correlations in the control group (G1): Fe/Ca-Fe/P (r = 1.00),
Zn/Ca-Zn/P (r = 0.99), Sr/Ca-Sr/P (r = 1.00), Zn/Fe-Sr/Fe (r = 99 ublished by Federal University of Mato Grosso do Sul | www.orbital.ufms.br Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br Orbital: Electron. J. Chem. 2022, 14(2), 95-102 Orbital: Electron. J. Chem. 2022, 14(2), 95 102
Table 3. Pearson correlation coefficient matrix of element ratios in treatment and control groups. 3.4.3 Correlation study Groupa
Ratio
Ca/P
Fe/Ca
Zn/Ca
Sr/Ca
Fe/P
Zn/P
Sr/P
Zn/Fe
Sr/Fe
Zn/Sr
G1
Ca/P
1.00
Fe/Ca
-0.35
1.00
Zn/Ca
0.31
-0.03
1.00
Sr/Ca
-0.40
0.50
-0.09
1.00
Fe/P
-0.30
1.00
-0.02
0.45
1.00
Zn/P
0.43
-0.08
0.99
-0.14
-0.07
1.00
Sr/P
-0.35
0.48
-0.07
1.00
0.43
-0.12
1.00
Zn/Fe
0.49
-0.87
0.29
-0.25
-0.87
0.35
-0.21
1.00
Sr/Fe
0.19
-0.53
-0.05
0.35
-0.56
-0.02
0.39
0.75
1.00
Zn/Sr
0.34
-0.18
0.67
-0.73
-0.13
0.68
-0.73
0.11
-0.54
1.00
G2
Ca/P
1.00
Fe/Ca
-0.77
1.00
Zn/Ca
-0.77
0.59
1.00
Sr/Ca
-0.78
0.78
0.68
1.00
Fe/P
-0.51
0.93
0.31
0.55
1.00
Zn/P
-0.58
0.35
0.95
0.53
0.08
1.00
Sr/P
0.10
0.21
-0.02
0.51
0.13
0.03
1.00
Zn/Fe
-0.06
-0.41
0.47
-0.01
-0.63
0.70
-0.03
1.00
Sr/Fe
0.32
-0.77
-0.12
-0.23
-0.91
0.07
0.22
0.68
1.00
Zn/Sr
-0.57
0.28
0.91
0.36
0.03
0.97
-0.23
0.72
0.05
1.00
G3
Ca/P
1.00
Fe/Ca
-0.18
1.00
Zn/Ca
-0.21
0.82
1.00
Sr/Ca
0.85
-0.36
-0.46
1.00
Fe/P
-0.17
1.00
0.82
-0.35
1.00
Zn/P
-0.02
0.77
0.98
-0.33
0.78
1.00
Sr/P
0.90
-0.31
-0.45
0.99
-0.30
-0.31
1.00
Zn/Fe
0.35
-0.63
-0.25
0.26
-0.63
-0.14
0.24
1.00
Sr/Fe
0.79
-0.49
-0.63
0.90
-0.48
-0.51
0.92
0.44
1.00
Zn/Sr
-0.40
0.92
0.93
-0.63
0.91
0.86
-0.60
-0.46
-0.73
1.00
G4
Ca/P
1.00
Fe/Ca
0.26
1.00
Zn/Ca
0.14
0.12
1.00
Sr/Ca
0.08
-0.31
0.02
1.00
Fe/P
0.57
0.94
0.16
-0.22
1.00
Zn/P
0.67
0.30
0.83
0.07
0.53
1.00
Sr/P
0.57
-0.12
0.09
0.86
0.12
0.44
1.00
Zn/Fe
-0.35
-0.85
0.38
0.40
-0.76
0.09
0.10
1.00
Sr/Fe
-0.29
-0.84
-0.06
0.70
-0.78
-0.23
0.42
0.84
1.00
Zn/Sr
-0.08
0.28
0.49
-0.85
0.15
0.32
-0.70
-0.08
-0.58
1.00
G5
Ca/P
1.00
Fe/Ca
-0.35
1.00
Zn/Ca
0.11
-0.11
1.00
Sr/Ca
-0.05
-0.19
-0.26
1.00
Fe/P
-0.30
1.00
-0.11
-0.15
1.00
Zn/P
0.39
-0.19
0.95
-0.20
-0.16
1.00
Sr/P
0.20
-0.22
-0.23
0.95
-0.17
-0.08
1.00
Zn/Fe
0.14
-0.67
0.46
-0.15
-0.70
0.43
-0.13
1.00
Sr/Fe
0.18
-0.71
0.03
0.24
-0.74
0.05
0.24
0.80
1.00
Zn/Sr
0.19
0.05
0.80
-0.76
0.04
0.77
-0.69
0.37
-0.15
1.00
a G1, G2, G3, G4, and G5 are the treatment groups of distilled water (DW), 5.25% NaOCl, 5.25% NaOCl+17% EDTA, distilled water+MTAD,
and 1.3% NaOCl+MTAD, respectively. Number of specimens in each group, n=10. Higher numbers of the very strong positive and negative
correlations were obtained in G3 treatment group. 3.4.3 Correlation study Thus, there
were sixteen very strong positive and one very strong negative
correlations: Ca/P-Sr/Ca (r = 0.85), Ca/P-Sr/P (r = 0.90), Ca/P-
Sr/Fe (r = 0.79), Fe/Ca-Zn/Ca (r = 0.82), Fe/Ca-Fe/P (r = 1.00),
Fe/Ca-Zn/P (r = 0.77), Fe/Ca-Zn/Sr (r = 0.92), Zn/Ca-Fe/P (r =
0.82), Zn/Ca-Zn/P (r = 0.98), Zn/Ca-Zn/Sr (r = 0.93), Sr/Ca-Sr/P
r = 0.99), Sr/Ca-Sr/Fe (r = 0.90), Fe/P-Zn/P (r = 0.78), Fe/P-
Zn/Sr (r = 0.91), Zn/P-Zn/Sr (r = 0.86), Sr/P-Sr/Fe (r = 0.92),
and six very strong negative correlations: Fe/Ca-Fe/P (r =
0.94), Zn/Ca-Zn/P (r = 0.83), Sr/Ca-Sr/P (r = 0.86), Sr/Ca-Sr/Fe
(r = 0.70), Zn/Fe-Sr/Fe (r = 0.84), Fe/Ca-Zn/Fe (r = -0.85),
Fe/Ca-Sr/Fe (r = -0.84), Sr/Ca-Zn/Sr (r = -0.85), Fe/P-Zn/Fe (r =
-0.76), Fe/P-Sr/Fe (r = -0.78), and Sr/P-Zn/Sr (r=-0.70). Strong
positive and strong negative correlations were not obtained in
G4 treatment group. In G5 treatment group, there were six very strong positive
and four very strong negative correlations: Fe/Ca Fe/P (r = and six very strong negative correlations: Fe/Ca-Fe/P (r =
0.94), Zn/Ca-Zn/P (r = 0.83), Sr/Ca-Sr/P (r = 0.86), Sr/Ca-Sr/Fe
(r = 0.70), Zn/Fe-Sr/Fe (r = 0.84), Fe/Ca-Zn/Fe (r = -0.85),
Fe/Ca-Sr/Fe (r = -0.84), Sr/Ca-Zn/Sr (r = -0.85), Fe/P-Zn/Fe (r =
-0.76), Fe/P-Sr/Fe (r = -0.78), and Sr/P-Zn/Sr (r=-0.70). Strong
positive and strong negative correlations were not obtained in
G4 treatment group. and six very strong negative correlations: Fe/Ca-Fe/P (r =
0.94), Zn/Ca-Zn/P (r = 0.83), Sr/Ca-Sr/P (r = 0.86), Sr/Ca-Sr/Fe
(r = 0.70), Zn/Fe-Sr/Fe (r = 0.84), Fe/Ca-Zn/Fe (r = -0.85),
Fe/Ca-Sr/Fe (r = -0.84), Sr/Ca-Zn/Sr (r = -0.85), Fe/P-Zn/Fe (r =
-0.76), Fe/P-Sr/Fe (r = -0.78), and Sr/P-Zn/Sr (r=-0.70). Strong
positive and strong negative correlations were not obtained in
G4 treatment group. Higher numbers of the very strong positive and negative
correlations were obtained in G3 treatment group. Thus, there
were sixteen very strong positive and one very strong negative
correlations: Ca/P-Sr/Ca (r = 0.85), Ca/P-Sr/P (r = 0.90), Ca/P-
Sr/Fe (r = 0.79), Fe/Ca-Zn/Ca (r = 0.82), Fe/Ca-Fe/P (r = 1.00),
Fe/Ca-Zn/P (r = 0.77), Fe/Ca-Zn/Sr (r = 0.92), Zn/Ca-Fe/P (r =
0.82), Zn/Ca-Zn/P (r = 0.98), Zn/Ca-Zn/Sr (r = 0.93), Sr/Ca-Sr/P
(r = 0.99), Sr/Ca-Sr/Fe (r = 0.90), Fe/P-Zn/P (r = 0.78), Fe/P-
Zn/Sr (r = 0.91), Zn/P-Zn/Sr (r = 0.86), Sr/P-Sr/Fe (r = 0.92),
and Sr/Fe-Zn/Sr (r = -0.73). 4. Conclusions [8] [8]
Wang, Y.-L.; Chang, H.-H.; Chiang, Y.-C.; Lin, C.-H.; Lin,
C.-P. J. Formos. Med. Assoc. 2019, 118, 39. [Crossref] In the present work, XRF technique was well suited for the
determination of major elements (P and Ca) and minor
elements (Fe, Zn, and Sr) in powders of root canal dentins with
errors less than 8.3%. The previously mentioned elements,
except Zn in G2 and G3 treatment groups, were normally
distributed. [9]
Graziani, G.; Boi, M.; Bianchi, M. Coatings 2018, 8,
269. [Crossref] [10]
Dorozhkin, S. V. Materials 2009, 2, 1975. [Crossref] [11]
Adhani, R.; Widodo; Sukmana, B. I.; Suhartono, E. Int. J. Chem. Eng. Appl. 2015, 6, 138. [Crossref] The XRF results showed greater decreases in P means of
the treatment groups than those of Ca. The ratios of Ca/P
were
decreased
as
follows:
Ca/PG5(1.3%
NaOCl+MTAD)>Ca/PG4(MTAD)>Ca/PG2(5.25%
NaOCl)>Ca/PG3(5.25%
NaOCl+17% EDTA)>Ca/PG1(Distilled water). Accordingly, the highest
direct action on the root canal dentin was attributed to the
combined ISOL of 1.3% NaOCl+MTAD. On the other hand, the
ISOLs used in this work showed different effects on the
distribution of the minor elements (Fe, Zn, and Sr) in root canal
dentin. Accordingly, higher removal of Fe from dentin tissues
was investigated by using the single ISOLs of NaOCl or MTAD,
while Zn and Sr had, apparently, the ability to replace Ca2+ in
the apatite lattice regardless of the type of the used ISOLs. [12]
Costa, E. M.; Azevedo, J. A. P. d.; Martins, R. F. M.;
Rodrigues, V. P.; Alves, C. M. C.; Ribeiro, C. C. C.;
Thomaz, E. B. A. F. Rev. Bras. Ginecol. Obstet. 2017,
39, 094. [Crossref] [13]
Rautray, T. R.; Das, S.; Rautray, A. C. Nucl. Instrum. Methods Phys. Res., Sect. B 2010, 268, 2371. [Crossref] [14]
Falla-Sotelo, F. O.; Rizzutto, M. A.; Tabacniks, M. H.;
Added, N.; Barbosa, M. D. L. Braz. J. Phys. 2005, 35,
761. [Crossref] [15]
Christensen, A. M.; Smith, M. A.; Thomas, R. M. J. Forensic Sci. 2012, 57, 47. [Crossref] Study on ratio-to-ratio correlations showed significant
mutual interactions between minor-major elements in all
studied treatment groups. Moreover, several minor-to-minor
element correlations were significantly affected by the type of
the ISOLs. This indicated the re-distribution ability of the minor
elements during the exposure of the root canal dentin tissues
to the action of the ISOL regimes. [16]
Uo, M.; Wada, T.; Sugiyama, T. Jpn. Dent. Sci. Rev. 2015, 51, 2. Author Contributions It could be concluded hereby that, the correlation between
pairs of the studied elements (element-to-element) in canals
of radicular dentin specimens was observed only for a limited
number of instances, whereas the higher numbers of the
relationships were observed by correlating the ratios of the
studied elements by each other (ratio-to-ratio). MQ contributed to the research concept and design,
collection and/or assembly of data, data analysis and
interpretation and writing the article. AK contributed to the
research concept and design, data analysis and interpretation,
writing and critical revision of the article. All authors read,
revised and approved the final manuscript. The results showed that several important ratio-to-ratio
correlations in the control group such (Sr/Ca-Sr/P), (Zn/Fe-
Sr/Fe), (Fe/Ca-Zn/Fe), (Sr/Ca-Zn/Sr), (Fe/P-Zn/Fe), (Sr/P-
Zn/Sr), (Zn/Ca-Zn/Sr), and (Zn/P-Zn/Sr) were not found in the
treatment groups: (G2), (G3), (G2 and G5), (G2 and G4), (G2
and G3), (G2 and G3), (G4), and (G4), respectively. 3.4.3 Correlation study Whereas, there were only two
strong negative correlations in G3 treatment group: Fe/Ca-
Zn/Fe (r = -0.63) and Sr/Ca-Zn/Sr (r = -0.63). In G5 treatment group, there were six very strong positive
and four very strong negative correlations: Fe/Ca-Fe/P (r =
1.00), Zn/Ca-Zn/P (r = 0.95), Zn/Ca-Zn/Sr (r = 0.80), Sr/Ca-Sr/P
(r = 0.95), Zn/P-Zn/Sr (r = 0.77), Zn/Fe-Sr/Fe (r = 0.88), Fe/Ca-
Sr/Fe (r = -0.71), Sr/Ca-Zn/Sr (r = -0.76), Fe/P-Zn/Fe (r = -0.70),
and Fe/P-Sr/Fe (r = -0.74). Only two strong negative In G4 treatment group, there were five very strong positive Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br 100 Orbital: Electron. J. Chem. 2022, 14(2), 95-102 correlations were obtained in G5 treatment group: Fe/Ca-
Zn/Fe (r = -0.67) and Sr/P-Zn/Sr (r = -0.69). 4. Conclusions [Crossref] [17]
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Fe/P and Zn/Ca-Zn/P each, regardless to the ISOL used in
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literature, where minor elements such Fe and Zn have the
ability to incorporate into the hydroxyapatite lattice of the
dental tissues [32,33]. The results also showed that Sr could
incorporate in the hydroxyapatite lattice, but NaOCl solution
was likely to affect the distribution of Sr in the root canal
dentin. Strong correlations between the studied minor
elements were obtained in all instances, in exception of the
combined ISOLs in G3 treatment group, reflecting the possible
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C.-W.; Sun, Y.-C. Advances in Anthropology 2013, 03,
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General of AECS, for his encouragements and keen interest in
this work. [20] Khuder, A.; Bakir, M. A.; Karjou, J.; Sawan, M. K. J. Radioanal. Nucl. Chem. 2007, 273, 435. [Crossref] Published by Federal University of Mato Grosso do Sul | www.orbital.ufms.br 101 Orbital: Electron. J. Chem. 2022, 14(2), 95-102 [29]
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Quteifan, M. Q.; Khuder, A. Orbital: Electron. J. Chem. 2022,
14,
95. DOI:
http://dx.doi.org/10.17807/orbital.v14i2.16204 [27]
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Testing Cost-Benefit Models of Parental Care Evolution Using Lizard Populations Differing in the Expression of Maternal Care
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PloS one
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Introduction focal species which vary in the type or intensity of care provided
(but in which all populations express care to some degree), or to
examine interspecific variation in care strategies. Because parental
care is either absent altogether or present in the vast majority of
species, our capacity to understand the direct ecological influences
of parental care evolution at the population level is limited. Parental care should evolve when the benefits of providing care
increase offspring survival above the costs of reduced survival and
future reproduction of adults [1–3]. Offspring benefit from
parental care through an increased chance of survival, which is
relatively easy to measure, but the costs for parents are complex,
and thus much more difficult to detect [4]. Parental costs are
twofold: (1) reproductive costs, including loss of mating opportu-
nities when providing long-term parental care, which can decrease
future fecundity or reduce the number of offspring produced
during the next reproductive event due to lower energy intake; and
(2) survival costs, in which long-term parental care can reduce
survival of the parent. Evolutionary theory suggests that parents
will adjust their parental care expenditure in relation to the
variation in costs to themselves and the benefits to their offspring,
so as to maximize fitness [5]. p
p p
Long-tailed skinks (Eutropis longicaudata) are widely distributed
throughout southeast Asia, but only one insular population is
known to display maternal care [9]; this presents a unique
opportunity for testing how ecological circumstances can contrib-
ute to parental care evolution. On Orchid Island (Taiwan), nesting
female long-tailed skinks guard their nests during incubation,
whereas females in at least 13 other populations abandon the nest
immediately after laying eggs [9]. This pattern is driven by
significantly higher levels of predation pressure on Orchid Island,
necessitating maternal care to ensure reproductive success [9]. We
developed cost-benefit models of parental care, which we tested
using ecological data from the population which provides maternal
care and two other populations lacking maternal care. We focus
on the fitness consequences of maternal care, where mothers
benefit by increasing egg hatching rates but incur a cost in terms of
the survival of the nest-guarding female and reduced opportunity
for future reproduction. This extends other models, in which Several mathematical models of parental care have been
proposed, most of which involve cost-benefit tradeoffs between
the parents and offspring [1–2,5–8]. Abstract * E-mail: wshuang@mail.nmns.edu.tw Testing Cost-Benefit Models of Parental Care Evolution
Using Lizard Populations Differing in the Expression of
Maternal Care Wen-San Huang1,2*, David A. Pike3
1 Department of Zoology, National Museum of Natural Science, Taichung, Taiwan, 2 Department of Life Sciences, National Chung Hsing University, Taichung, Taiwan,
3 School of Marine and Tropical Biology, James Cook University, Townsville, Australia 1 Department of Zoology, National Museum of Natural Science, Taichung, Taiwan, 2 Department of Life Sciences, National Chung Hsing University, Taichung, Taiwan,
3 School of Marine and Tropical Biology, James Cook University, Townsville, Australia February 2013 | Volume 8 | Issue 2 | e54065 Abstract Parents are expected to evolve tactics to care for eggs or offspring when providing such care increases fitness above the
costs incurred by this behavior. Costs to the parent include the energetic demands of protecting offspring, delaying future
fecundity, and increased risk of predation. We used cost-benefit models to test the ecological conditions favoring the
evolution of parental care, using lizard populations that differ in whether or not they express maternal care. We found that
predators play an important role in the evolution of maternal care because: (1) evolving maternal care is unlikely when care
increases predation pressure on the parents; (2) maternal care cannot evolve under low levels of predation pressure on both
parents and offspring; and (3) maternal care evolves only when parents are able to successfully defend offspring from
predators without increasing predation risk to themselves. Our studies of one of the only known vertebrate species to
exhibit interpopulation differences in the expression of maternal care provide clear support for some of the hypothesized
circumstances under which maternal care should evolve (e.g., when nests are in exposed locations, parents are able to
defend the eggs from predators, and egg incubation periods are brief), but do not support others (e.g., when nest-sites are
scarce, life history strategies are ‘‘risky’’, reproductive frequency is low, and environmental conditions are harsh). We
conclude that multiple pathways can lead to the evolution of parental care from a non-caring state, even in a single
population of a widespread species. Citation: Huang W-S, Pike DA (2013) Testing Cost-Benefit Models of Parental Care Evolution Using Lizard Populations Differing in the Expression of Maternal
Care. PLoS ONE 8(2): e54065. doi:10.1371/journal.pone.0054065 Editor: Ce´dric Sueur, Institut Pluridisciplinaire Hubert Curien, France Received September 21, 2012; Accepted December 5, 2012; Published February 7, 2013 Received September 21, 2012; Accepted December 5, 2012; Published February 7, 2013 Copyright: 2013 Huang, Pike. 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: Funding was provided by the Kuo Wu Hsiu Luan Culture and Education Foundation and the National Science Council of Taiwan (NSC 99-2621-B-178-
001-MY3). 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. Parental Care Evolution in a Lizard parental care evolves solely in response to selection on trade-offs
between growth rate and future reproduction, or the relationship
between parental care and fecundity [2]. Eventually, a balance
between the costs and benefits should lead to parental care
evolving from a non-caring ancestor, and if the long-term benefits
outweigh the costs, then parental care should be maintained. Our
study suggests that natural selection acting directly on the female
and her ability to produce offspring exerts a strong influence on
the evolution of maternal care. We integrate our findings into
existing predictive frameworks that propose mechanisms leading
to the evolution of parental care [1], and find support for some
hypotheses, but not others. Model overview We used an evolutionary stable strategy (ESS) game theory
model [12]. The game theory model predicts that the selective
pressures maintaining parental care by both sexes, and desertion
by one parent, affects investment by the other parent (Table 2)
[12]. We can use the game theory model to define four different
evolutionary stable strategies for parental care evolution (ESS): (1)
both parents express parental care, and if the costs outweigh the
benefits, either parent can abandon care; (2) the female deserts the
offspring while the male provides care; (3) the female provides care
for the offspring while the male deserts; or (4) both sexes desert the
nest resulting in no parental care. Because parental care by male
reptiles is virtually nonexistent [1], here we focus on the conditions
under which maternal care is likely to evolve (ESS1 and ESS3). The long-tailed skink populations on Green Island and mainland
Taiwan are described by evolutionary stable strategy ESS 1: both
parents desert the nest, whereas the Orchid Island population is
described by ESS 3: the female cares for incubating eggs and the
male deserts (Table 2). Because the payoff from these two
strategies relates to egg numbers and egg survival, we can calculate Ethics statement This study was approved by the Taiwanese National Museum of
Natural Science Animal Care and Use Committee (Protocol
Permit NMNSHP02-002). Introduction However, one of the principle
constraints
with
predicting
the
circumstances
under
which
parental care evolves is that the ecological form of the cost and
benefit functions is unknown, making models difficult to test
empirically [2]. Consequently, models are normally tested using February 2013 | Volume 8 | Issue 2 | e54065 February 2013 | Volume 8 | Issue 2 | e54065 1 PLOS ONE | www.plosone.org Parental Care Evolution in a Lizard Study populations and empirical data y p p
p
From 2001–2010 we collected clutch size data for Eutropis
longicaudata on Orchid Island, located 60 km southeast of Taiwan
(22u029N, 121u349E); Green Island, located 33 km southeast of
Taiwan (22u409N, 121u289E); and mainland Taiwan (Santimen,
Pingtung County; 22u429N, 120u389E). At each location long-
tailed skinks nest within drainage holes running through a concrete
retaining wall located along a mountain road. For full details of
study sites and methods, see [9–11]. Incubating eggs fail due to a
variety of reasons, including fungal infections, or predation by ants
or egg-eating snakes (Oligodon formosanus) [9]. Egg-eating snakes,
however, are the major egg predator and the maternal care
expressed by Orchid Island long-tailed skinks is aimed at deterring
snakes from eating lizard eggs, which are more abundant on this
island than our other two study sites [9]. We conducted a
manipulative experiment to determine the fitness effects of
excluding snake predators (as mother lizards do on Orchid Island)
[9]. This entailed gluing mesh over the pipes housing lizard nests;
by doing so, we could estimate the fitness effects that maternal care
would provide in our two study populations which do not display
maternal care (Table 1) [9]. We also conducted these trials on
Orchid Island to serve as controls (Table 1) [9]. Table 2. Payoff matrix and four evolutionary stable strategies
(ESS) from the game theory model [12]. Female
Care
Desert
Male
Care
R
wP2
WP1
=
wP2
WP1
Desert
R
wP1
WP0
=
wP1 (1+p)
WP0 (1+p)
W: egg without care; w: egg with care; P0: egg survival without parental care;
P1: egg survival with uni-parental care; P2: egg survival with bi-parental care;
P2. P1. P0; p: male deserts and then obtains another mating opportunity. ESS1: both sexes show care; wP2. WP1, otherwise female deserts; wP2. wP1
(1+p), otherwise male deserts. ESS2: female deserts and male cares; WP1 . wP2,
otherwise female cares; WP1 . WP0 (1+P), otherwise male deserts. ESS3: female
cares and male deserts; wP1 . WP0, otherwise female deserts; wP1 (1+p) . wP2 otherwise male cares. ESS4: both sexes desert; WP0 . wP1, otherwise the
female cares; WP0 (1+p) . WP1, otherwise the male cares. doi:10.1371/journal.pone.0054065.t002 Table 2. Payoff matrix and four evolutionary stable strategies
(ESS) from the game theory model [12]. Table 2. Payoff matrix and four evolutionary stable strategies
(ESS) from the game theory model [12]. Study populations and empirical data W: egg without care; w: egg with care; P0: egg survival without parental care;
P1: egg survival with uni-parental care; P2: egg survival with bi-parental care;
P2. P1. P0; p: male deserts and then obtains another mating opportunity. ESS1: both sexes show care; wP2. WP1, otherwise female deserts; wP2. wP1
(1+p), otherwise male deserts. ESS2: female deserts and male cares; WP1 . wP2,
otherwise female cares; WP1 . WP0 (1+P), otherwise male deserts. ESS3: female
cares and male deserts; wP1 . WP0, otherwise female deserts; wP1 (1+p) . wP2 otherwise male cares. ESS4: both sexes desert; WP0 . wP1, otherwise the
female cares; WP0 (1+p) . WP1, otherwise the male cares. doi:10.1371/journal.pone.0054065.t002 Table 1. Predation, competition, and parental care attributes of three long-tailed skink populations. Variable
Location
Mainland Taiwan
Green Island
Orchid Island
Individual predation
Strong
Weak
Weak
Egg predation
Weak
Weak
Strong
Parental care
No
No
Yes
Clutch size (eggs)
6.7
6.0
6.5
Hatching success with parental care
59%
55%
81%
Hatching success without parental care
62%
51%
18%
Relative change in hatching success with care
23%
4%
63%
Cost-benefit model without maternal care
1.15
0.06
21.83
Cost-benefit model evolving maternal care
0.95
0.30
2.27
Individual predation pressure was assessed using the number of lizard predator species present in each location; intensity of egg predation was estimated using
numbers of egg-eating snakes (Oligodon formosanus) [33] encountered during our study; and intra-specific competition was estimated using skink density. Data for
hatching success with and without parental care are from [9]. doi:10.1371/journal.pone.0054065.t001 Table 1. Predation, competition, and parental care attributes of three long-tailed skink populations. Individual predation pressure was assessed using the number of lizard predator species present in each location; intensity of egg predation was estimated using
numbers of egg-eating snakes (Oligodon formosanus) [33] encountered during our study; and intra-specific competition was estimated using skink density. Data for
hatching success with and without parental care are from [9]. doi:10.1371/journal.pone.0054065.t001 February 2013 | Volume 8 | Issue 2 | e54065 PLOS ONE | www.plosone.org 2 Parental Care Evolution in a Lizard the benefits in terms of numbers of eggs produced and the
proportion of those eggs that hatch into baby lizards. study system [13]. Study populations and empirical data Consequently, Cdelay = 23 (in Equation 1, we
assumed that a clutch represents 3 points, and the greatest benefit
to a female would be a clutch that is not preyed upon by snakes,
and thus all eggs hatch. In this case X = 0 and 23+6 * (1–0) = 3. If
the entire clutch is consumed by snakes, then X = 1 and 23+6 *
(1–1) = 23; a female loses at most 3 points by delaying the second
clutch). Cpredation and Cantipredator are dependent on the female’s
ability to escape lizard predators and to deter egg predators,
respectively. These costs sum to at most 7 points because females
invest 3 in the clutch. In our study system, female lizards easily
deter egg predators (the reptile egg-eating snake Oligodon formosanus,
which does not eat lizards; [9,10]), so we assume Cantipredator to be
negligible (i.e., 0). Testing the model without parental care We solved the model without parental care (Equation 1) using
empirical data (Table 1). The benefits of not providing care
outweigh the costs for the mainland and Green Island populations,
but not for the Orchid Island population (Table 1). For the Orchid
Island population to persist in the absence of maternal care (i.e., to
obtain a positive value for the equation) would require either a
decrease in Clay or an increase Begg. To obtain a positive value for
the equation, X would have to be above 0.46, or, given the current
hatching success rate of eggs in the absence of maternal care
(18%), females would have to increase their clutch size to .17 eggs
(the known maximum clutch size is 13 eggs; [14]). With lower
clutch sizes and given the high rate of egg predation in the absence
of maternal care, long-tailed skinks would become extirpated from
Orchid Island if the eggs were not protected from predation
during incubation. Benefits of parental care The benefit of parental care is the successful production of
offspring. In long-tailed skinks, the proportion of eggs laid that
produce hatchlings is a function of incubation temperature [11]
and the probability that the eggs will be located and consumed by
predators [10]. Eggs exposed to relatively moderate temperatures
have high hatching success ratios [11], which increases the benefit
of providing parental care. Similarly, parental care maintains a
benefit when females successfully attack and deter egg-eating snake
predators [9,10]. Model development The model without maternal care (which is representative of the
long-tailed skink populations on mainland Taiwan and Green
Island) is: ð1Þ Clay z Begg (1-X) ~ Constant
ð1Þ Testing the model evolving maternal care Where Clay is the cost of laying a clutch of eggs by a mother lizard,
Begg is the benefit of egg-hatching ratios, and X is the proportion
of eggs that fail to hatch. We solved the model evolving maternal care (Equation 2) using
empirical data (Table 1). Our experimental exclusion of egg
predators, which simulates maternal defense of the nest site,
revealed that when eggs are protected from predation, Begg
increases from 18% to 81% on Orchid Island, but in the other two
populations there is negligible change (,4% change; Table 1 [9]). The benefits of providing care thus outweigh the costs only for the
Orchid Island population. The absolute value for the Green Island
population is higher for the model evolving maternal care than for
the model not evolving maternal care (Table 1), but the difference
is so small that when using the empirically-derived hatching
success data as input (instead of data from the predator exclusion
experiment; Table 1), the values for the models with and without
maternal care are equal (i.e., 0.06). Lizards on mainland Taiwan
and Green Island should therefore continue burying their eggs in
the soil and abandoning them after oviposition (as is common
throughout most of the species’ range). We assumed that a mother lizard represents ten points, and that
laying a clutch of eggs costs the female 30% of her body mass [10],
or three points. If all of the eggs in a clutch hatch, the female
benefits ten points; this value can be adjusted based on egg
hatching rates. We assumed that a female lays eggs twice during
her lifetime, and at least one hatchling from each clutch reaches
adulthood. This means that in her lifetime each female will replace
herself and one mate (20 lifetime points), thereby maintaining a
stable population size. These assumptions can be adjusted based
on life history attributes; for example, if a female lays four clutches
of eggs in her lifetime, then each clutch would represent five
points. The model evolving parental care (which is representative of the
long-tailed skink population on Orchid Island) is: Clay z Cdelay z Cpredation z Cantipredator z Begg (1-X) ~
Constant
ð2Þ Costs of maternal care The costs of maternal care are fourfold: (1) the energetic cost of
producing a clutch; (2) delay of future mating opportunities (when
a female remains with the eggs, she delays opportunities for mating
and acquiring the energy necessary for producing her next clutch);
(3) anti-predator ability (the ability of a lizard to defend the nest
from obligate egg predators); and (4) risk of predation (maternal
care could reduce survival through increased predator exposure
during care). When considering these costs as point values in a
model, the total costs cannot exceed the value of the female
herself. Discussion Clay z Cdelay z Cpredation z Cantipredator z Begg (1-X) ~
Constant
ð2Þ ð2Þ Constant Why the mainland Taiwan population has not evolved
maternal care There are two explanations for why the long-tailed skink
population on mainland Taiwan has not evolved maternal care. First, on the mainland there is a substantial risk of predation to the
parent while guarding the nest because of the diverse array of
lizard predators there (e.g., at least 4 snake species; Table 1 [9]). The presence of a higher diversity of lizard predators could
increase Crisk. If the mother lizard is preyed upon, then the X
value will increase simultaneously because the eggs are vulnerable
to predators without maternal care. Secondly, experimental
exclusion of vertebrate predators in the mainland population
revealed that the benefits of care and desertion are almost
equivalent in terms of hatching success (Table 1 [9]). Excluding
vertebrate predators did not result in a significant increase in
hatching success on mainland Taiwan or Green Island, as
compared to a 63% increase for the Orchid Island population
(Table 1 [9]). When there is no positive net benefit to maternal
care, natural selection will favor nest desertion. Predation is a strong selective force that influences the behavior,
morphology and life history of prey species [17–18]. Studies of the
effects of predation on prey responses are biased towards studies of
life history and morphology. Nevertheless, exposure to predators
has been shown to influence prey behavioral changes and
evolution (e.g. [18–20]). The current cost-benefit model suggests
that both individual predators and reptile egg predators are
important to the evolution of maternal care in long-tailed skinks. Direct contact between prey and potential predators is unlikely to
induce parental care in smaller species on the island, because they
are unable to successfully deter egg-eating snakes. However, when
predators are rare (or multiple predators co-occur) it may be
difficult to evolve maternal care because the costs of providing care
may not outweigh the benefits. For example, the Taiwanese
population of skinks is exposed to many different predators, many
of which eat lizards. Likewise, on Green Island there are very few
predators at all, and consequently maternal care would accrue
only minimal benefits (Table 1). Our cost-benefit model predicts that animals will seek further
benefits if the environment allows it, regardless of whether the
species shows aggression towards egg predators. For example,
higher temperatures influence egg incubation time and egg
mortality of long-tailed skinks on Orchid Island [11]. Figure 1. A hypothetical cost-benefit model describing the
evolution of parental care in long-tailed skinks (Eutropis
longicaudata), showing how parental care can evolve based
on the relationship between incubation temperature (the
benefit is increased hatching success, x-axis) and egg preda-
tion pressure from snakes (the cost of laying eggs in
populations with varying snake population size, y-axis). Note
that these relationships are hypothetical, and provide only one example
of how these two variables could influence the evolution of maternal
care (similar relationships can be developed between other variables of
interest). Parental care has a high likelihood of evolving in instances
where female lizards select nest sites that are relatively high (i.e., inside
of a retaining wall as compared to in natural habitats) but in which
there are large numbers of egg-eating snakes (and thus high risk of any
eggs left unattended becoming depredated). This matches the situation
on Orchid Island, Taiwan. Maternal care is unlikely to evolve when
predation pressure is relatively low, which matches the situation on
Green Island and mainland Taiwan. doi:10 1371/journal pone 0054065 g001 the nest for the entire duration of incubation) and allow the
hatchlings to have longer activity seasons (and thus reach larger
sizes) prior to winter. Thus, these concrete walls are likely to attract
female lizards because of the benefits to incubating eggs, regardless
of whether that female has the ability to deter predators or even
provide maternal care at all. The Taiwanese and Green Island
populations are consistent with this prediction in that they have
not evolved maternal care, but do lay their eggs inside the concrete
walls. the nest for the entire duration of incubation) and allow the
hatchlings to have longer activity seasons (and thus reach larger
sizes) prior to winter. Thus, these concrete walls are likely to attract
female lizards because of the benefits to incubating eggs, regardless
of whether that female has the ability to deter predators or even
provide maternal care at all. The Taiwanese and Green Island
populations are consistent with this prediction in that they have
not evolved maternal care, but do lay their eggs inside the concrete
walls. Constant A major objective in behavioral and evolutionary ecology is to
understand how animals make decisions in complex environments,
and the strategies adopted by animals under realistic conditions
[15]. Our cost-benefit model used an optimization framework
[12,15,16] to examine the evolution of maternal care in complex
environments, and revealed four major insights: (1) maternal care
can evolve from a non-parental caring ancestor if the benefits
outweigh the costs; (2) in species lacking anti-predator behaviors,
the benefits of maternal care can increase with ecological or
environmental factors; (3) the benefits and costs of maternal care Where Cdelay is the cost to a female in terms of delaying
reproduction while guarding eggs, Cpredation is the risk of the
female provisioning care being preyed upon, and Cantipredator is the
cost the female incurs when using antipredator behaviors. If a female develops maternal care, then the costs relative to not
providing care include the cost of future reproduction, the risk of
predation, and the cost of deterring predators. Delaying future
reproduction may be the most important cost for females in our February 2013 | Volume 8 | Issue 2 | e54065 PLOS ONE | www.plosone.org February 2013 | Volume 8 | Issue 2 | e54065 3 Parental Care Evolution in a Lizard Figure 1. A hypothetical cost-benefit model describing the
evolution of parental care in long-tailed skinks (Eutropis
longicaudata), showing how parental care can evolve based
on the relationship between incubation temperature (the
benefit is increased hatching success, x-axis) and egg preda-
tion pressure from snakes (the cost of laying eggs in
populations with varying snake population size, y-axis). Note
that these relationships are hypothetical, and provide only one example
of how these two variables could influence the evolution of maternal
care (similar relationships can be developed between other variables of
interest). Parental care has a high likelihood of evolving in instances
where female lizards select nest sites that are relatively high (i.e., inside
of a retaining wall as compared to in natural habitats) but in which
there are large numbers of egg-eating snakes (and thus high risk of any
eggs left unattended becoming depredated). This matches the situation
on Orchid Island, Taiwan. Maternal care is unlikely to evolve when
predation pressure is relatively low, which matches the situation on
Green Island and mainland Taiwan. Constant doi:10.1371/journal.pone.0054065.g001 increase when individuals actively defend their nests against
predation; and (4) predators play important roles in the evolution
of maternal care. The evolution of parental care represents a
considerable evolutionary challenge: to change behavior in a
manner that interacts positively with offspring. Nonetheless,
phylogenetic studies from a wide range of taxa all suggest that
this is the pathway by which parental care evolves (reviewed by
[2]). Although the costs and benefits of parental care are many, we
currently know little of the form of the relationships between
parental investment and offspring fitness. It seems likely that this
relationship could involve one or more threshold effects (e.g., see
Fig. 1 for one putative relationship between selecting nest sites with
appropriate incubation temperatures and predation pressure). However, there are many problems associated with measuring the
costs of reproduction to the parents. Individual variation in
phenotypic or genetic quality may obscure the effects of parental
expenditure on subsequent fitness. Furthermore, experimental
manipulation of parental expenditure is needed, even though it is
difficult to measure reproductive costs and offspring benefits using
either laboratory of field experiments [2]. Theoretical models of
parental investment necessarily incorporate assumptions about the
form of cost and benefit functions. Because it is impossible to deal
with all of these functions adequately, few predictions concerning
the form or extent of parental investment in practice have a basis
grounded in ecology. For example, we do not currently know
whether parents should generally invest more heavily in offspring
of superior quality because they are more likely to survive, or
inferior ones because parental expenditure will have a greater
influence on their fitness. Because we know nothing about whether
environmental factors affect the parents’ decisions, those uncer-
tainties lead us to be skeptical of predictions based only on
theoretical principles. This may be a problem in our model as well,
but our goal was to use biologically meaningful parameters to
understand how these might relate to parental care evolution. Characteristics of the external environment Our
model predicts that parental care will evolve more commonly
when reproductive output is low. This implies that short-lived
species are more likely to evolve parental care than long-lived
species. Short-lived species often have lower reproductive outputs
than long-lived species, and thus could be more likely to pursue
‘‘risky’’ reproductive strategies than long-lived ones [1,22]. Parental care is a ‘‘risky’’ behavior because it can render the
parents vulnerable to predators. In lizards, parental care is more
common in late-maturing or large species [22,23]. Tinkle (1969)
suggested that parental care generally should be found in long-
lived iteroparous species, especially those with a short, annual
breeding season. However, the long-tailed skink, an iteroparous
species with a long breeding season and large body size relative to
other sympatric lizards, does not support this prediction. This
inconsistency might correlate with a lizard’s ability to defend
against predators. For example, Sphenomorphus incognitus, a lizard
with a small body size, cannot defend its nest from Oligodon
formosanus [24] because its head width (8.1–10.9 mm; [25]) is
smaller than the chest diameter of O. formosanus (11.5–14.5 mm;
[26]), but the head width of Eutropis females (13.3–18.3 mm; [14])
is larger than the chest diameter of the snake; thus they can defend
nests from intruding snakes. Parental Care Evolution in a Lizard Parental Care Evolution in a Lizard Although long-tailed skinks bury their eggs beneath rocks in
natural habitats, the eggs of females nesting inside the retaining
wall remain exposed during incubation. Females nesting in
populations expressing or not expressing maternal care both nest
in these retaining walls, suggesting that egg exposure in and of
itself does not always lead to maternal care. Characteristics of the external environment 1. Harsh and unpredictable environments. This hypoth-
esis suggests that parental care will most often be found in
environments in which resources for adults are limited at the time
of egg guarding [21]. For example, if resources are scarce prior to
or during the period of parental care, then the parents might
increase the rate of food searching while guarding the nest, which
could increase the risk of predation to the parent or offspring,
which would reduce the benefits of providing maternal care [21]. However, if food resources are abundant at the time of nesting, an
alternative hypothesis is that parents would not necessarily tradeoff
egg guarding with food searching. This would lessen the time spent
away from the nest and provide the female with more energy with
which to protect the nest. Parental care might strongly benefit egg
survivorship in these instances. In our current study, for instance,
long-tailed skinks breed from February to September when the
food resources are abundant [14], in contrast to the harsh and
unpredictable environment hypothesis, but in support of the
abundant food resource hypothesis. Although skinks occasionally
leave the nest to forage in the forest near the concrete wall [9],
these excursions may be infrequent enough or of sufficiently short
duration that foraging does not increase the risk of predation to the
mother or eggs. Addressing this hypothesis using more detailed
behavioral observations will help clarify this. 5. Ability of parents to defend eggs from predators. If a
major benefit of parental care is to deter potential egg-predators,
then parental care should evolve most often in species in which a
parent is physically capable of deterring egg predators [1,3,30]. For example, parental care is common in the largest snakes
(Pythoninae), and those with venom (Viperidae, .50% of species
and Elapidae, 41% of species). Likewise, the few reports of
parental care in the Colubridae (7.5%) are in species with
relatively large body sizes (e.g., the genera Elaphe, Farancia, Ptyas) or
belonging to the minority of venomous species within the family
(e.g., Psammophylax, Rhabdophis; [1]). The ubiquity of parental care
in the large and formidable crocodilians is consistent with this
prediction. Likewise, due to their relatively large body size, long-
tailed skinks appear to be the only lizard species on Orchid Island
large enough to successfully deter egg-eating snakes [24]. 2. Selection for ‘‘risky’’ life history strategies. The cost and benefit model in a hypothesis-testing
framework Existing hypotheses about the mechanisms behind the evolution
of parental care [1] can be integrated into our findings, which
results in eight hypotheses spanning: (1) attributes of the external
environment, including nesting sites; and (2) reproductive attri-
butes of the species, both of which must result in the parental
action increasing fitness. We address each of these hypotheses in
turn. 4. Suitability of habitat for clutch attendance. Parental
care is predicted to be more common when adults occupy the
same habitat in which eggs are laid. This is because the parents
may be less susceptible to predation inside their own territory,
which also provides vital resources. This hypothesis is difficult to
test in lizards because the males are more likely to be territorial,
although females are more likely to show parental care [1]. Long-
tailed skinks do not support this prediction because females
generally spend the period outside the nesting season in natural
habitats, but move onto the retaining wall during the nesting
season [10]. A related hypothesis concerns the abundance of nest-
sites available. Parental care might evolve when nest sites are
scarce relative to the number of nesting females, because the
arrival of new females can destroy existing nests. This scenario has
been described in sea turtles [28] and island populations of
iguanine lizards [29]. However, at our study areas there are nearly
1,200 identical potential nest-sites available, but we have never
observed more than 50 nesting females at any given time. Because
the number of suitable nesting sites vastly outnumbers the number
of breeding females, our data do not support this prediction. Why the mainland Taiwan population has not evolved
maternal care Eggs
incubated in the warmer concrete wall have higher hatching
success (88%) than natural nests (67%), and hatch 7 days earlier
[11]. In warmer environments, shorter incubation times could
reduce the duration of maternal care (when the female remains at February 2013 | Volume 8 | Issue 2 | e54065 PLOS ONE | www.plosone.org 4 Reproductive attributes 6. Parental care is more likely to evolve in species with
low reproductive frequency. Parental care may be more likely
to evolve in species that produce only a single clutch of large eggs
per reproductive season, as opposed to species that produce small
and frequent clutches. This is because the cost of caring for a single
clutch of eggs is most likely smaller than the cost of caring for
several clutches over a much longer duration. Data from several
studies seemingly support this prediction [23,31]. However,
because multiple clutching is more common in tropical species
than in temperate species, parental care should evolve more often
in temperate rather than tropical species. This is not the case for
reptiles, in which parental care is most common in tropical species
(e.g., Iguaninae, Pythoninae, Alligatorinae, Crocodylinae [1]). The
costs for long-tailed skinks to guard their eggs are minimal, and
similar for females with both large and small clutches [13]. Some
long-tailed skinks reproduce twice within a single breeding season,
and guard both clutches, which does not support this prediction. 3. Exposed vs hidden nest sites. Tinkle (1969) reviewed
parental care of lizards and suggested that lizards laying their eggs
in well-hidden nests might be less exposed to dangers than a
female that does not accompany her eggs. Likewise, eggs
incubating in exposed areas, rather than buried or hidden, may
be easier for predators to locate. Hence, parental care should
evolve more often in species that do not bury their eggs [1,27]. 7. Brief incubation periods. Parental care should evolve
when incubation periods are short because females investing less
time engaged in parental care will incur fewer costs. A comparison
of the incubation periods of egg-attending vs non-attending species February 2013 | Volume 8 | Issue 2 | e54065 PLOS ONE | www.plosone.org 5 Parental Care Evolution in a Lizard ectotherms than in ectotherms. This could help explain why
almost all birds and mammals show parental care. supports this hypothesis [21]. However, such interspecific com-
parisons could be confounded if large species that tend to have
large eggs (which need longer incubation periods) are dispropor-
tionately represented in the non-attending species. Our field data
support hypothesis; long-tailed skink eggs incubate more quickly
on Orchid Island than on the mainland [13]. References 1. Shine R (1988) Parental care in reptiles, Pages 275–330 in Gans C, Huey RB, eds. Biology of the Reptilia Vol.16. Alan R. Liss. New York. 17. Lima SL, Dill LM (1990) Behavioral decisions made under the risk of predation:
a review and prospectus. Canad J Zool 68: 619–640. 18. Chivers DP, Kiesecker JM, Marco A, DeVito J, Anderson MT, et al. (2001)
Predator-induced life history changes in amphibians: egg predation induces
hatching. Oikos 92: 135–142. 2. Clutton-Brock TH (1991) The evolution of parental care: Monographs in
behavior and ecology. Princeton University Press. 3. Greene HW, May PG, Hardy SDL, Sciturro JM, Farrell TM (2002) Parental
behavior by vipers, Pages 179–205 in Schuett GW, Hoggren M, Douglas ME,
Greene HW, eds. Biology of the Vipers. Eagle Mountain Publ. Eagle Mountain,
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19. Crowl TA, Covich AP (1990) Predator-induced life history shifts in a freshwater
snail. Science 247: 949–951. 20. Ball SL, Baker RL (1996) Predator-induced life history changes: antipredator
behavior costs or facultative life history shifts. Ecology 77: 1116–1124. 4. Reguera P, Gomendio M (1999) Predation costs associated with parental care in
the golden egg bug Phyllomorpha laciniata (Heteroptera: Coreidae). Behav Ecol 10:
541–544. 21. Tinkle DW, Gibbons JW (1977) The distribution and evolution of viviparity in
reptiles. Misc. Pub. Museum Zool. Univ. Mich. 154: 1–54. 21. Tinkle DW, Gibbons JW (1977) The distribution and evolutio reptiles. Misc. Pub. Museum Zool. Univ. Mich. 154: 1–54. 22. Williams GC (1966) Adaptation and natural selection. Princeton University
Press, Princeton, NJ. 5. Winkler DW (1987) A general model for parental care. Am Nat 130: 526–543. 6. Reynolds JD, Gross MR (1990) Costs and benefits of female mate choice: is there
a lek paradox? Am Nat 136: 230–243. 23. Tinkle DW (1969) The concept of reproductive effort and its relation to the
evolution of life histories of lizards. Am Nat 103: 501–516. 7. Rosenheim JA (1999) Characterizing the cost of oviposition in insects: a dynamic
model. Evol Ecol 13: 141–165. 24. Tseng HY, Huang WS (2012) Sphenomorphus incognitus (Brown forest skink). Parental care. Herpetol Rev 43: 141. 8. Besnard A, Gimenez O, Lebreton JD (2002) A model for the evolution of
creching in gulls. Evol Ecol 16: 489–503. 25. Huang WS (2010) Foraging behaviors of two sympatric ant species in response to
lizard eggs. Zoology 113: 85–90. 9. Acknowledgments We thank C.H. Chang and several assistants for help in the field. This
study was approved by the Taiwanese National Museum of Natural
Science Animal Care and Use Committee (Protocol Permit NMNSHP02-
002). Parental action enhancing fitness 8. Parental care is more likely to evolve when it increases
egg hatching ratios. According to our model, the higher the
hatching ratio (in terms of benefit, Begg) the greater the
opportunity for parental care evolution. For example, long-tailed
skink eggs laid inside concrete walls have higher hatching success
than those in natural nests [11]. Exposing the eggs to higher
incubation temperatures might play an important role in the
evolution of parental care. This prediction may help explain why
tropical species more commonly display parental care than
temperate species [1]. Eggs in tropical environments are exposed
to higher temperatures, and in many species this results in higher
hatching success, which would bring the benefits in line with our
model. Further, our model might predict that endotherms would
show parental care more commonly than ectotherms, because
most of the temperatures experienced by embryos are higher in Reproductive attributes However, the
incubation period may not be a major factor in the evolution of
maternal care in this species because females in populations with
and without maternal care nest in two habitat types: some females
bury eggs beneath the soil (where they are not visible to predators)
and some females lay eggs inside of a retaining wall (where they
are visible to predators; [32]). Furthermore, the duration of
maternal care does not always last the entire incubation period,
but can vary due to the frequency of attempted egg predation by
snakes [9]. Hence, this prediction may be overly simplistic. ectotherms than in ectotherms. This could help explain why
almost all birds and mammals show parental care. Author Contributions Conceived and designed the experiments: WSH. Performed the experi-
ments: WSH. Analyzed the data: WSH DAP. Contributed reagents/
materials/analysis tools: WSH DAP. Wrote the paper: WSH DAP. Conceived and designed the experiments: WSH. Performed the experi-
ments: WSH. Analyzed the data: WSH DAP. Contributed reagents/
materials/analysis tools: WSH DAP. Wrote the paper: WSH DAP. Conclusions We know so little about the mechanisms leading to the evolution
of parental care that it is difficult to predict how parents should
invest in their offspring. Our general cost-benefit framework can
be used to examine how a relatively large number of biologically-
relevant variables simultaneously influence quantitative estimates
of parental care. This approach revealed that the evolution of
maternal care in long-tailed skinks is related to at least five
different factors: the energetic investment in a clutch, the delay of
future fecundity, the risk of predation to the parent, the ability to
defend the eggs from predation, and the increase in hatching
success provided by maternal care. The relative magnitudes of the
cost and benefits of these variables are important in determining
the evolution of parental care. Consequently, multiple pathways
can lead to the evolution of parental care from a non-caring state,
even in a single population of a widespread species. References Huang WS, Lin SM, Dubey S, Pike DA (In press) Predation drives
interpopulation differences in parental care expression. J Anim Ecol in press. gg
gy
26. Huang WS (2004) Reptile ecology and the evolution of 26. Huang WS (2004) Reptile ecology and the evolution of parental care on a
tropical Asian island. Ph. D thesis, Cornell University, NY. g
(
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p
gy
tropical Asian island. Ph. D thesis, Cornell University, NY. 10. Huang WS (2006a) Parental care in the long-tailed skink, Mabuya longicaudata on
a tropical Asian island. Anim Behav 72: 791–795. 27. Noble GK, Mason ER (1933) Experiments on the brooding habits of the lizards
Eumeces and Ophisaurus. Am Mus Novit 619: 1–29. 11. Huang WS, Pike DA (2011) Climate change impacts on fitness depend on
nesting habitat in lizards. Funct Ecol 25: 1125–1136. 28. Girondot M, Tucker AD, Rivalan P, Godfrey MH, Chevalier J (2002) Density-
dependent nest destruction and population fluctuations of Guianan leatherback
turtles. Anim Conserv 5: 75–84. 12. Maynard-Smith J (1977) Parental investment: A prospective analysis. Anim
Behav 25: 1–9. Rand AS (1968) A nesting aggregation of iguanas. Copeia 1968: 552– 29. Rand AS (1968) A nesting aggregation of iguanas. Cop 13. Huang WS (2007) Costs of egg caring in the skink, Mabuya longicaudata. Ecol Res
22: 659–664. 30. Fraipont MD, Clobert J, Barbault R (1996) The evolution of oviparity with egg
guarding and viviparity in lizards and snakes: a phylogenetic analysis. Evolution
50: 391–400. 14. Huang WS (2006b) Ecological characteristics of the skink, Mabuya longicaudata, on
a tropical East Asian island. Copeia 2006: 293–300. 31. Bull JJ, Shine R (1979) Iteroparous animals that skip opportunities for
reproduction. Am Nat 114: 296–316. 15. Schmitz OJ, Cohon JL, Rothley KD, Beckerman AP (1998) Reconciling
variability and optimal behaviour using multiple criteria in optimization models. Evol Ecol 12: 73–94. 32. Huang WS (1994) Report on egg clutch size of long-tailed skink, Mabuya
longicaudata from Taiwan. J Taiw Muse 47: 45–47. 16. Stearns SC (1992) The evolution of life histories. Oxford University Press,
Oxford UK. 33. Huang WS, Greene HW, Chang TJ, Shine R (2011) Territorial behaviour in
Taiwanese kukrisnakes (Oligodon formosanus). Proc Natl Acad Sci 108: 7455–7459. February 2013 | Volume 8 | Issue 2 | e54065 PLOS ONE | www.plosone.org February 2013 | Volume 8 | Issue 2 | e54065 6
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Acute anxiety during the COVID-19 pandemic was associated with higher levels of everyday altruism
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Scientific reports
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cc-by
| 10,982
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Joana B. Vieira
1,2*, Stephen Pierzchajlo3, Simon Jangard2, Abigail A. Marsh4 &
Andreas Olsson2 Joana B. Vieira
1,2*, Stephen Pierzchajlo3, Simon Jangard2, Abigail A. Marsh4 &
Andreas Olsson2 Prior laboratory research has suggested that humans may become more prosocial in stressful
or threatening situations, but it is unknown whether the link between prosociality and defense
generalizes to real-life. Here, we examined the association between defensive responses to a real-
world threat (the COVID-19 pandemic) and everyday altruism. Four independent samples of 150
(N = 600) US residents were recruited online at 4 different timepoints, and self-report measures of
perceived COVID-19 threat, defensive emotions (e.g., stress and anxiety), and everyday altruism
were collected. Our operationalization of defensive emotions was inspired by the threat imminence
framework, an ecological model of how humans and animals respond to varying levels of threat. We found that perceived COVID-19 threat was associated with higher levels of everyday altruism
(assessed by the Self-report Altruism scale). Importantly, there was a robust association between
experiencing acute anxiety and high physiological arousal during the pandemic (responses typically
characteristic of higher perceived threat imminence), and propensity to engage in everyday altruism. Non-significant or negative associations were found with less acute defensive responses like stress. These findings support a real-life relation between defensive and altruistic motivation in humans,
which may be modulated by perceived threat imminence. The beginning of 2020 was met with an unprecedented global challenge—the novel coronavirus outbreak. A
defining feature of the COVID-19 pandemic, especially its earlier stages, was a widespread feeling of being under
an invisible threat, a feature likely to profoundly impact psychological functioning and behaviour. Indeed, a
wealth of laboratory research has demonstrated how defensive processes triggered by stressful or threatening
situations affect not only psychological health1 and decision-making2, but also prosocial behaviour3. Still, little is
known about how ecological threats of varying proximity impact behaviour outside the laboratory setting. The
pandemic presented a unique opportunity to answer this question. Here, we examined the association between
changing COVID-19 threat and prosocial behaviour, particularly everyday altruism.h g
g
p
p
y
y
y
There is a long held popular view that human nature is inherently self-serving, and presumably more likely
to reveal itself in challenging contexts or when resources are scarce4. These characteristics are applicable to
early stages of a pandemic, wherein the fear of infection co-occurred with that of losing one’s job and/or access
to essential goods like medication, food, or even toilet paper. www.nature.com/scientificreports www.nature.com/scientificreports www.nature.com/scientificreports Scientific Reports | (2022) 12:18619 Acute anxiety during the COVID‑19
pandemic was associated
with higher levels of everyday
altruism
OPEN Joana B. Vieira
1,2*, Stephen Pierzchajlo3, Simon Jangard2, Abigail A. Marsh4 &
Andreas Olsson2 Joana B. Vieira
1,2*, Stephen Pierzchajlo3, Simon Jangard2, Abigail A. Marsh4 &
Andreas Olsson2 However, the notion of a fundamentally selfish
human nature is called into question by the ubiquitous nature of everyday altruism in modern societies5,6, and
by instances of extraordinary altruism in highly risky (e.g., heroic rescues; https://www.carnegiehero.org/) or
costly scenarios (e.g., non-directed organ donation)7. Importantly, it has been suggested that challenging contexts
may in fact promote rather than hinder altruistic motivation3,8. Previous studies have shown that inducing acute
social stress through paradigms like the Trier Social Stress Test increases prosocial behaviour in subsequent
economic exchanges9 and hypothetical moral decisions10, as well as the ability to empathize with others’ pain11. Other studies, however, indicated the link between stress and prosocial behaviour is more nuanced, as it may be
shaped by additional individual and situational variables12–14. 1Department of Psychology, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK. 2Department
of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. 3Department of Psychology, Stockholm
University, Stockholm, Sweden. 4Department of Psychology, Georgetown University, Washington, DC,
USA. *email: j.m.b.vieira@exeter.ac.uk | https://doi.org/10.1038/s41598-022-23415-2 Scientific Reports | (2022) 12:18619 Scientific Reports | (2022) 12:18619 www.nature.com/scientificreports/ One such variable could be the imminence of danger, and the way it is subjectively perceived by individuals. It has been proposed that, in humans and other species, defensive responses vary based on the spatiotemporal
proximity of the threat, along a so-called threat imminence continuum15. Distal threats predominantly trigger
vigilance, risk assessment and more flexible escape strategies, whereas imminent threats activate more stereotyped
avoidance responses (e.g., freezing and fight-or-flight)15–17. The terms pre-encounter, post-encounter, and circa-
strike have been used to describe different defensive contexts along the imminence continuum, and research in
both animals and humans has begun to elucidate the neural circuitries implicated in adaptively responding to
each context (see17 for a review). Importantly, it has been proposed that human behaviours, cognitions and emo-
tions that characterize states like anxiety, fear and panic may be understood as contiguous transitions in response
to the perceived imminence of a threat17–19. For example, intermittent anticipatory anxiety accompanied by cogni-
tive control and reappraisal strategies are typical in response to an unpredictable threat that is not immediately
present but may appear at any point (pre-encounter). By contrast, encounter anxiety may result from a threat
that is already present but has consequences that are still somewhat unpredictable (post-encounter), and acute
fear or panic may arise from a threat that is present and predictable, for which immediate avoidance is needed
(circa-strike). Joana B. Vieira
1,2*, Stephen Pierzchajlo3, Simon Jangard2, Abigail A. Marsh4 &
Andreas Olsson2 An important point is that defensive responses are known to be variable between individuals20–22,
and it is thus reasonable to expect some degree of inter-individual variability in this defensive continuum, i.e.,
a threat may be perceived as more imminent by some than others, giving rise to varying defensive behaviours
to the same external event.hff There is laboratory evidence that defensive states along the imminence continuum may have different effects
on prosocial behaviour. Specifically, we have recently demonstrated that healthy individuals were more likely to
help a co-participant avoid aversive electrical shocks (at the risk of also being shocked) when helping decisions
were made immediately before the shock delivery (imminent threat) than in the beginning of the trial (distal
threat)23. Further, responses made during imminent relative to distal threats were faster, and accompanied by
increased heart rate. These findings suggested that acute defensive states triggered in situations of imminent
danger not only enable self-preservation responses, but may also promote motivation to defend/help others24. It
is, however, unknown whether the link between threat imminence and altruistic motivation would persist in a
larger spatiotemporal scale and in a real-life context. The COVID-19 pandemic offered the opportunity to exam-
ine this question. In the United States, the first confirmed case of COVID-19 was reported on January 21st, and
the government declared the outbreak a Public Health Emergency on February 3rd. On March 11th, the World
Health Organization officially classified the outbreak as a global pandemic. By then, other countries like China,
Italy and Iran had already recorded a rampant number of cases. This sequence of unfolding events presumably
contributed to a perception of increased threat imminence, as individuals witnessed the negative impact of the
virus in other countries, and anticipated similar consequences in their own country. y
Our main goal here was to determine the association between COVID-19 threat and everyday altruism,
defined as voluntary actions that benefit others at a variable personal cost (e.g., money, time, effort). Based on
our findings that increased threat imminence favors helping decisions23, and evidence that acute stress promotes
prosociality3,9–11, we hypothesized that increased COVID-19 threat over time would be accompanied by an
increase in self-reported altruistic behaviours at the population level. To test this, we performed four independent
data collections (cross-sectional design), corresponding to one-week apart time points during the COVID-19
pandemic (March–April), during which number of confirmed cases and COVID-19 fatalities were objectively
increasing. Joana B. Vieira
1,2*, Stephen Pierzchajlo3, Simon Jangard2, Abigail A. Marsh4 &
Andreas Olsson2 At each time point, self-report measures of everyday altruism, perceived COVID-19 threat, and
experienced defensive emotional states were collected (see “Methods”). We then examined whether perceived
COVID-19 threat and everyday altruism increased over those 4 weeks. Given the expected inter-individual
variability in responding to threat imminence, we also hypothesized that individuals experiencing more acute
defensive states (presumably linked with perception of higher threat imminence) would report higher engage-
ment in everyday altruism. This prediction was tested by modelling everyday altruism as a function of different
defensive emotions, while accounting for week-by-week variation. Our measure of everyday altruism was the
Self-report Altruism Scale26, which assesses the frequency with which participants have engaged in different eve-
ryday altruistic behaviours in their lifetime. These ratings are believed to reflect both the frequency of performed
acts, and the individual’s endorsement of helping others, thus being considered both a measure of self-reported
behaviour and dispositional altruism25. This is an important point to keep in mind when interpreting our results,
as they can reflect both behavioural and trait-level associations between defence and altruism. Results
Ch Changes in everyday altruism and perceived COVID‑19 threat over time. The total number of
confirmed COVID-19 cases increased over the 4 weeks of data collection, but we found no evidence that per-
ceived COVID-19 threat increased over time (F(3, 596) = 1.82, p = 0.14; Fig. 1). Regarding levels of everyday
altruism assessed by the SRA, although the ANOVA suggested changes across the four weeks (F(3, 596 = 3.04,
p = 0.03), follow-up pairwise comparisons were not statistically significant (all ps > 0.15).fi i
Because some of the items of the SRA describe actions that may be difficult to perform during a lockdown
(e.g., helping a stranger with car troubles), we repeated the ANOVA using as dependent variable a subset of SRA
items referring to donations, given that the ability to carry out those behaviours should be less affected. When
using the SRA-donations score, results suggested changes over the 4 weeks (F(3, 596) = 3.69, p = 0.012). Pairwise
comparisons revealed the only significant difference was a decrease between Week 1 and 2 (p = 0.012). if
Altogether, our results provided limited evidence about how population levels of overall altruism changed
over the 4 weeks of data collection, but we found some indication that donation behaviour may have decreased
from the first to the second week. These results could have been impacted by the non-changing threat perception,
and/or limitations in the SRA’s ability to capture behavioural changes in that time period. https://doi.org/10.1038/s41598-022-23415-2 Scientific Reports | (2022) 12:18619 | www.nature.com/scientificreports/ Figure 1. Total number of confirmed cases averaged across states, over the 4 weeks of data collection (top left);
Perceived COVID-19 threat over the 4 weeks of data collection (top right ); Everyday altruism over the 4 weeks
of data collection (SRA total and donations only score, bottom panel). The dashed line connects the mean across
samples (i.e. weeks). Note that the distributions shown here correspond to independent samples collected on
each week. Figure 1. Total number of confirmed cases averaged across states, over the 4 weeks of data collection (top left);
Perceived COVID-19 threat over the 4 weeks of data collection (top right ); Everyday altruism over the 4 weeks
of data collection (SRA total and donations only score, bottom panel). The dashed line connects the mean across
samples (i.e. weeks). Note that the distributions shown here correspond to independent samples collected on
each week. Results
Ch Modelling everyday altruism (SRA) as a function of perceived threat and defensive emo‑
tions. To examine whether experiencing different defensive emotional states during the pandemic was asso-
ciated with altruism at the individual level, we adopted a Generalized Linear Mixed Models (GLMMs) approach. This allowed us to account for variation in everyday altruism that was explained by our variables of interest
(fixed effects), as well as by random sampling of timepoint (random effect) (see “Methods” and Supplementary
material for a detail description of all the modelling checks and steps).iif p
g
p
We first examined how everyday altruism (SRA) varied as a function of our key fixed effects of interest
Model 1), namely: a) Perceived COVID-19 threat (assessed by the COVID-19 Risk Perception Scale, RP26);i y
p
b) Stress, defined as feelings of uncontrollability and unpredictability, which are characteristic in response to
situations of lower threat imminence (assessed by Perceived Stress Scale-10, PSS-1027); y
p
b) Stress, defined as feelings of uncontrollability and unpredictability, which are characteristic in response to
situations of lower threat imminence (assessed by Perceived Stress Scale-10, PSS-1027);i (
y
)
c) Anxiety, defined as a state of high autonomic arousal, acute anxiety and panic, consistent with emotional
responses to threats perceived as predictable and imminent (assessed by the Depression Anxiety Stress Scales,
DASS-2128). y
c) Anxiety, defined as a state of high autonomic arousal, acute anxiety and panic, consistent with emotional
responses to threats perceived as predictable and imminent (assessed by the Depression Anxiety Stress Scales,
DASS-2128). Although not the focus of our hypotheses, Depression (assessed by the DASS-21) was also included as a
fixed effect, since it is thought to have important associations with stress and anxiety-related responses29. Results
showed only perceived COVID-19 threat and anxiety were significantly associated with increased everyday
altruism (Table 1, Fig. 2A). When modelling these variables with only random intercept per week, we found
additionally that stress and depression were negatively associated with altruism (see Supplementary material—
Addressing model singularity, Table m1.1). We next examined the association between other demographic variables and everyday altruism, focusing on
age, gender, socio-economic status and employment. Rather than introducing all these additional fixed effects
in the main model, we instead first modelled them separately, with the goal of identifying those significantly
associated with altruism. This strategy helped limit the complexity of the main model and avoid convergence
problems (see Supplementary material for results of the model with all predictors, fixed effects of interest plus
additional demographics, which did not converge but showed results in the same direction and significance as
those reported here). Age was found to be positively associated with altruism, and employment was margin-
ally negatively associated (Supplementary material). We thus added these variables to the main model (Model
2). Results showed that age, perceived COVID-10 threat, and anxiety were uniquely associated with increased Scientific Reports | (2022) 12:18619 | https://doi.org/10.1038/s41598-022-23415-2 www.nature.com/scientificreports/ Table 1. Model 1 estimates (DV: Everyday altruism, SRA). Estimate
Std. a) Perceived COVID-19 threat (assessed by the COVID-19 Risk Perception Scale, RP26);i Error
df
t value
Pr(>|t|)
CI_lower
CI_upper
(Intercept)
− 0.006
0.070
3.084
− 0.091
0.933
− 0.143
0.131
Perceived COVID-19 threat
0.169
0.050
5.565
3.377
0.017*
0.071
0.267
Stress
− 0.146
0.085
3.282
− 1.719
0.176
− 0.312
0.020
Anxiety
0.305
0.055
9.893
5.526
0.000*
0.197
0.414
Depression
− 0.172
0.088
3.570
− 1.945
0.132
− 0.345
0.001 Table 1. Model 1 estimates (DV: Everyday altruism, SRA). Table 1. Model 1 estimates (DV: Everyday altruism, SRA). Figure 2. (A) Beta values and SEs for Model 1. (B) Beta values and SEs for Model 2. Dependent variable in
both models is everyday altruism (SRA). Figure 2. (A) Beta values and SEs for Model 1. (B) Beta values and SEs for Model 2. Dependent variable in
both models is everyday altruism (SRA). everyday altruism (Table 2, Figs. 2B and 3). When using a simpler model with only a random intercept by week,
in addition to these effects, we found depression, stress and unemployment were negatively associated with
altruism (Supplementary material Table m3.3). everyday altruism (Table 2, Figs. 2B and 3). When using a simpler model with only a random intercept by week,
in addition to these effects, we found depression, stress and unemployment were negatively associated with
altruism (Supplementary material Table m3.3). y
Overall, results showed higher perceived COVID-19 threat, and higher acute anxiety were robustly associ-
ated with increased everyday altruism, with some evidence emerging for a negative association with stress. This
pattern of results can be interpreted as higher threat perception and acute defence during a crisis being linked
with increased engagement in altruism, or alternatively that those higher in altruistic tendencies are more likely
to experience threat and acute anxiety in response to a crisis. Modelling other indicators of altruism during the pandemic. We next examined whether the
observed associations between everyday altruism, perceived COVID-19 threat, and anxiety would hold when
using an indicator that specified altruistic action during the pandemic, namely the reported frequency of altru-
istic behaviours towards strangers or charity in the last few weeks. Results showed that anxiety and age were
positively associated with reporting altruistic behaviours towards a stranger or charity during the COVID-19
pandemic (Table 3). https://doi.org/10.1038/s41598-022-23415-2 Scientific Reports | (2022) 12:18619 | www.nature.com/scientificreports/ Table 2. Model 2 estimates (DV: Everyday altruism, SRA). *Reference class = Employed. Estimate
Std. Table 3. Model 3 estimates (DV: Help stranger). 1 Reference class = Employed. a) Perceived COVID-19 threat (assessed by the COVID-19 Risk Perception Scale, RP26);i Error
df
t value
Pr( >|t|)
CI_lower
CI_upper
(Intercept)
0.119
0.070
3.580
1.694
0.174
− 0.019
0.256
Perceived COVID-19 threat
0.156
0.051
4.674
3.090
0.030*
0.057
0.256
Stress
− 0.084
0.063
5.228
− 1.327
0.239
− 0.208
0.040
Anxiety
0.296
0.052
9.196
5.641
0.000*
0.193
0.399
Depression
− 0.132
0.069
5.115
− 1.915
0.112
− 0.268
0.003
Age
0.314
0.042
577.963
7.498
0.000*
0.232
0.396
Employment* = Student
− 0.120
0.119
8.789
− 1.009
0.340
− 0.352
0.113
Employment = Unemployed
− 0.416
0.149
3.231
− 2.786
0.063
− 0.708
− 0.123 Table 2. Model 2 estimates (DV: Everyday altruism, SRA). *Reference class = Employed. Figure 3. Model 2 predictions of everyday altruism (SRA) as a function of Anxiety (top left), Perceived
COVID-19 threat (top right), Age (bottom left) and Stress (bottom right), depicting estimated random slopes
per week. Figure 3. Model 2 predictions of everyday altruism (SRA) as a function of Anxiety (top left), Perceived
COVID-19 threat (top right), Age (bottom left) and Stress (bottom right), depicting estimated random slope
per week. Table 3. Model 3 estimates (DV: Help stranger). 1 Reference class = Employed. Estimate
Std. error
df
t value
Pr( >|t|)
CI_lower
CI_upper
(Intercept)
0.040
0.081
3.994
0.493
0.648
− 0.120
0.200
Perceived COVID-19 threat
0.047
0.068
2.601
0.686
0.549
− 0.087
0.180
Stress
− 0.050
0.132
1.170
− 0.380
0.761
− 0.309
0.209
Anxiety
0.267
0.079
3.389
3.380
0.036*
0.112
0.422
Depression
− 0.137
0.155
1.068
− 0.883
0.532
− 0.441
0.167
Age
0.230
0.067
291.869
3.419
0.001*
0.098
0.362
Employment (1 = Student)1
0.099
0.162
16.485
0.611
0.549
− 0.219
0.417
Employmen (2 = Unemployed)
− 0.130
0.171
1.585
− 0.759
0.544
− 0.465
0.205 Table 3. Model 3 estimates (DV: Help stranger). 1 Reference class = Employed. https://doi.org/10.1038/s41598-022-23415-2 Scientific Reports | (2022) 12:18619 | www.nature.com/scientificreports/ Table 4. Model 4 estimates (DV: Donations). 1 Reference class = Employed. Estimate
Std. a) Perceived COVID-19 threat (assessed by the COVID-19 Risk Perception Scale, RP26);i error
df
t value
Pr( >|t|)
CI_lower
CI_upper
(Intercept)
0.109
0.072
3.366
1.520
0.216
− 0.032
0.250
Perceived COVID-19 threat
0.129
0.051
4.868
2.534
0.054
0.029
0.228
Anxiety
0.210
0.061
5.125
3.471
0.017*
0.092
0.329
Depression
− 0.158
0.063
20.345
− 2.510
0.021*
− 0.281
− 0.035
Stress
− 0.027
0.067
5.632
− 0.398
0.705
− 0.157
0.104
Age
0.282
0.055
3.992
5.115
0.007*
0.174
0.391
Employment (1 = Student)1
− 0.039
0.125
6.831
− 0.313
0.764
− 0.285
0.207
Employment (2 = Unemployed)
− 0.443
0.149
3.336
− 2.975
0.051
− 0.735
− 0.151 Table 4. Model 4 estimates (DV: Donations). 1 Reference class = Employed. Table 4. Model 4 estimates (DV: Donations). 1 Reference class = Employed. Figure 4. Zero-order correlations between indices of prosocial behaviour and defensive responses. The
numbers in each cell correspond to the Pearson r coefficients. Cells with a white background correspond to
correlations that did not survive correction for multiple comparisons. Covid19_th: Perceived COVID-19 threat;
PSS: Perceived Stress Scale; Depression: DASS-21 Depression scale; Stress: DASS-21 Stress scale; Anxiety: DASS-
21 Anxiety scale; SRA: Self-report Altruism; PBI: Prosocial Behavioural Intentions scale; stranger: Frequency
of altruistic acts towards stranger; friend: Frequency of altruistic acts towards a friend; relative: Frequency of
altruistic acts towards a relative; ingroup: Frequency of altruistic acts towards an ingroup member; outgroup:
Frequency of altruistic acts towards an outgroup member; acquaint: Frequency of altruistic acts towards an
acquaintance. Figure 4. Zero-order correlations between indices of prosocial behaviour and defensive responses. The
numbers in each cell correspond to the Pearson r coefficients. Cells with a white background correspond to
correlations that did not survive correction for multiple comparisons. Covid19_th: Perceived COVID-19 threat;
PSS: Perceived Stress Scale; Depression: DASS-21 Depression scale; Stress: DASS-21 Stress scale; Anxiety: DASS-
21 Anxiety scale; SRA: Self-report Altruism; PBI: Prosocial Behavioural Intentions scale; stranger: Frequency
of altruistic acts towards stranger; friend: Frequency of altruistic acts towards a friend; relative: Frequency of
altruistic acts towards a relative; ingroup: Frequency of altruistic acts towards an ingroup member; outgroup:
Frequency of altruistic acts towards an outgroup member; acquaint: Frequency of altruistic acts towards an
acquaintance. We also replaced the SRA total score with that referring to donations only in the full model (Model 4). Results
showed that anxiety and age remained significantly associated with increased donation behaviours. Additionally,
Depression was negatively associated with those behaviours (Table 4). Table 4. Model 4 estimates (DV: Donations). 1 Reference class = Employed. Discussionh This study investigated the association between everyday altruistic behaviour, changing level of COVID-19 threat
over time (objective threat imminence), and type of defensive emotions experienced by individuals during this
period (perceived threat imminence). It has been proposed that emotional states like stress, anxiety, fear and
panic can be understood as reflecting contiguous defensive responses to varying levels of perceived threat17,19. Based on observations that defensive responses to increased threat imminence23 and acute stress3 may facilitate
prosocial action in experimental settings, we hypothesized that experiencing more acute defensive emotions
during the pandemic would be associated with higher levels of self-reported altruism. Our results supported
this hypothesis, showing that individuals reporting higher perceived COVID-19 threat and experiencing higher
acute anxiety (conceptualized as high physiological arousal and feelings of being close to panic), also reported
higher everyday altruism. These associations persisted while controlling for additional variables such as age, and
employment status. The association between everyday altruism and acute anxiety was particularly strong and
consistent both across, and within each week (when each week was analysed separately, acute anxiety emerged
as a robust predictor of everyday altruism—see Supplementary material), suggesting that acute defensive states
may be particularly predictive of altruistic outcomes.i y
p
y p
Our findings are consistent with previous reports that acute social stressors promote prosocial behaviour. For instance, individuals submitted to the Trier Social Stress Test, a paradigm that increases salivary cortisol
and heart rate in experimental studies, have been shown to subsequently display increased levels of trustwor-
thiness and sharing9,30, empathy for others’ pain11, and self-reported emotional empathy31. Of note, despite the
different terminology, “acute stress” in these experimental studies has a physiological manifestation and is more
closely related to our operationalization of acute anxiety. That acute social stressors promote affiliative behaviour
has often been interpreted with reference to the “tend-and-befriend” hypothesis by Taylor32,33. This hypothesis
proposes an oxytocin-mediated biobehavioural system that, on the one hand, fosters affiliative behaviours that
maximize species survival (tending), and, on the other, reduces stress through the establishing of social bonds
(befriending). The “tend-and-befriend” proposal thus highlights the role of oxytocin in promoting social bonds
and, as a result, in dampening defensive responses in social stressful situations. However, animal and human
research have demonstrated that oxytocin plays a more general role in regulating individual defensive behaviour
in non-social contexts as well34. Discussionh For instance, oxytocinergic neurons in the central amygdala are implicated in
allowing transitions between freezing and active defense (fight-or-flight) in response to imminent danger35,36. Moreover, in rodents, the oxytocin-mediated ability to inhibit freezing in favor of active threat coping behaviours
is necessary to allow females to engage in offspring defense37. In light of these data, one possibility is that acute
defensive states enable prosocial action regardless of the social nature of the stressor, by recruiting active coping
mechanisms also implicated in dealing with first-hand threats. This is consistent with recent experimental data
showing that the induction of fight-or-flight states by increasing threat imminence promotes costly helping deci-
sions in humans23. It is also consistent with previous theoretical accounts suggesting acute physiological stress
(versus diffuse or chronic stress) promotes caregiving specifically in situations of immediate need8,38. While open
questions remain regarding the underlying mechanisms, our results demonstrate a positive relation between
acute defensive states and prosocial behaviour, which generalizes beyond time bounded laboratory experiments
to real-life threatening contexts that extend over time. I
i
l
f
d i h
i
ifi
i
i i
(d
di
h
h
d l g
Interestingly, we found either a non-significant or negative association (depending on how the models were
defined) between altruism and stress, characterized here by diffuse anxiety and feelings of uncontrollability and
unpredictability. One possible interpretation for this finding, is that the association between altruism and threat
perception is modulated by perceived threat imminence. i.e., altruism is differently associated with defensive
emotions typical of higher perceived threat imminence (acute anxiety), and those eventually elicited when threat
imminence is perceived to be lower (stress). It should be noted however, that our questionnaire measures do not
directly assess perceived threat imminence. Rather, our measures of stress mainly tapped onto feelings of control-
lability and unpredictability. Therefore, our interpretation, and the potentially dissociable association between
altruism and perceived threat imminence, warrants further examination in more controlled experiments (e.g.,23). Additionally, because the (negative) relation between stress and altruism was not as robust as the (positive)
relation with acute anxiety, replication of the stress effect in future well-powered studies is especially warranted. a) Perceived COVID-19 threat (assessed by the COVID-19 Risk Perception Scale, RP26);i We also replaced the SRA total score with that referring to donations only in the full model (Model 4). Results
showed that anxiety and age remained significantly associated with increased donation behaviours. Additionally,
Depression was negatively associated with those behaviours (Table 4). Finally, we re-ran the full model using the Prosocial Behavioral Intentions (PBI) score as dependent measure. We found no evidence of a significant association between prosocial intentions and any of our predictors (Sup-
plementary material). Of note, this measure assesses the willingness to engage in future prosocial behaviour
rather than self-reported performed behaviours. Also, visual inspection of the PBI data revealed skewed distribu-
tions, with the majority of scores concentrated in the upper end of the scale. This suggests participants generally
rated their behavioural intentions as very highly prosocial (maybe due to social desirability), and variability in
responses was low (see Supplementary material). This limitation of the measure could have contributed for the
disparity in findings between prosocial intentions and the other altruistic measures. Associations among measures of prosociality and defensive emotions. At an exploratory level,
we examined the associations between everyday altruism, other measures of prosocial behaviour, and measures
assessing defensive emotional states (anxiety and stress). Correlation analyses (corrected for multiple compari-
sons, all reported ps < 0.00065) revealed moderate positive correlations between everyday altruism and other
indicators of prosocial behaviour, including prosocial behavioural intentions, and frequency of altruistic behav-
iours towards friends, acquaintances, strangers, ingroup and outgroup members (Fig. 4). Perceived COVID-19 Scientific Reports | (2022) 12:18619 | https://doi.org/10.1038/s41598-022-23415-2 www.nature.com/scientificreports/ threat was positively associated with state measures of anxiety and stress. In line with the main analysis, everyday
altruism was positively correlated with perceived COVID-19 threat and anxiety. There results point to a coherent
network of associations between measures assessing defensive and prosocial behaviour, respectively, and further
support a unique link between altruistic behaviour and acute defensive responses to the pandemic. threat was positively associated with state measures of anxiety and stress. In line with the main analysis, everyday
altruism was positively correlated with perceived COVID-19 threat and anxiety. There results point to a coherent
network of associations between measures assessing defensive and prosocial behaviour, respectively, and further
support a unique link between altruistic behaviour and acute defensive responses to the pandemic. www.nature.com/scientificreports/ systems responsible for defensive responding and those implicated in empathy and care. Future research would
benefit from considering additional trait level moderators of interest in the association between defense and
altruism, such as individual differences in threat sensitivity and dispositional empathy. f
y
p
p
y
We had also hypothesized that increased COVID-19 threat over time (i.e., increasing number of cases and
fatalities) would result in increasing indices of everyday altruism at the population level. Our results for this
hypothesis were inconclusive. Although donations decreased from Week 1 to Week 2, no clear indications of
increase or decrease in altruism emerged over the 4 weeks of data collection. Critically, our inability to detect
meaningful alterations in altruism may have been due to the fact that, despite the increasing number of cases and
fatalities, subjective perception of COVID-19 threat did not significantly change over those 4 weeks. There are
several potential, not mutually exclusive reasons for the disparity between objective and subjectively perceived
threat. For one, the use of different samples each week may have compromised our power to capture changes
over time. Another likely reason is that our study had insufficient temporal resolution to detect changes in sub-
jective threat perception that accompanied the course of the pandemic. It is possible that individuals perceived
the COVID-19 situation to be substantially more severe prior to the first data collection on March 24th, and that
perception became relatively stable over the following weeks. Indeed, in the early stages of the pandemic in the
United States, information about the coronavirus and its transmission was still limited and unclear. The percep-
tion of danger in these early stages was therefore presumably higher, as suggested by the outages of toilet paper
and other goods at supermarkets (https://www.mckinsey.com/industries/consumer-packaged-goods/our-insig
hts/us-food-supply-chain-disruptions-and-implications-from-covid-19), and increase in gun sales across the
country (https://www.theguardian.com/us-news/2021/may/31/us-gun-sales-rise-pandemic). Some research sup-
ports this interpretation, with data suggesting that more substantial changes in COVID-19 risk perception may
have occurred prior to the beginning of our study39,40. Another possibility is that objective indices of COVID-19
threat, like number of cases and deaths, are not the only contributing factor for subjective threat perception. For
instance, knowledge about the measures that are being implemented to control the virus spread may modulate
how severe individuals perceive the situation to be. www.nature.com/scientificreports/ In that regard, the start of the lockdown in the US during
the data collection period may have mitigated the perceived threat. Accounting for the state of residence of the
participants could also have improved the sensitivity of the analysis to detect changes in threat perception, since
the evolution of the pandemic was quite heterogeneous across different locations. Our dataset had an uneven
number of cases per US state in each week, substantially limiting statistical power of any spatially-based analyses. However, even accounting for the number of COVID-19 cases specifically in the participants’ state of resident,
we did not find indication that it was associated with perceived COVID-19 threat (r = 0.006, p = 0.88). In sum,
given that we cannot discount the influence of between-sample variation in our data, that our time resolution
may have been insufficient, and that perceived threat did not change significantly over the 4 weeks, our study
was inconclusive to assess a potential link between changing threat imminence over time and population levels
of altruistic behaviour. Future research on population-level effects would benefit from including information
regarding location, as well as additional demographic aspects, such as having children or not, and health status
of the participants.ih p
p
As a final note, it is worth pointing out the strong association that emerged between age and altruism. This
association has been previously documented, e.g.,41–46, including in relation to situations of acute stress47. The
positive association between age and altruism is likely explained by a combination of biological and sociocultural
factors, which are out of the scope of the present study. Of note, we did not find indication that this association
was driven by other demographical aspects (such as employment or socio-economic level), which likely covary
with age but were controlled for in our analysis. The inclusion of additional variables, such as having children
and health status, could help to further clarify the apparent positive impact of age on everyday altruism. It should
also be noted that the strength of the age effect we found could, to some extent, be driven by how the SRA scale
is formulated, i.e., in measuring accumulated behaviour over time, older participants might by default report
more engagement in altruistic behaviours.i g g
Some specificities of our study should be acknowledged. Discussionh yf
y
One aspect to consider is that our main indicator of altruism, the Self-report Altruism Scale (SRA), does not
specify a time window for the occurrence of behaviour, and thus altruistic behaviours reported by participants
may have included actions not necessarily undertaken during the pandemic. We have accounted for this in the
analysis by testing our model with an index of altruistic behaviours performed during the pandemic, having
confirmed the same pattern of results with acute anxiety. In addition, the SRA includes actions that could be dif-
ficult to perform during the lockdown. Our analysis also accounted for this aspect, demonstrating results in the
same direction with acute anxiety while using only SRA items related to donation behaviours, which although
still hindered to some extent by the lockdown context (e.g., donating blood)could more easily be undertaken
(e.g., charity donations). Despite these limitations (which we have accounted for in the analysis), the SRA has the
advantage of being the only validated and well-established measure of self-reported altruistic behaviour in our
study. Crucially, even if understood as trait measure, our findings with the SRA suggest that altruistic dispositions
are associated with the propensity to experience acute anxiety (but not stress) during a real-life crisis. Such trait-
level association has important theoretical implications, since it further supports a link between neurobiological Scientific Reports | (2022) 12:18619 | https://doi.org/10.1038/s41598-022-23415-2 www.nature.com/scientificreports/ Methods
Participants. Participants. 602 participants were recruited through the Prolific participant pool (Prolific.co). The sample
size was decided based on resource availability (largest N possible with available resources), and not a formal
power calculation. To mitigate the lack of a power calculation, we performed simulation-based power analysis
after completing the study, fixing the sample size to the one we used to determine our power to detect effect sizes
of different magnitudes. This procedure provides an estimate of how much power our study had, without relying
on the obtained effects sizes48,49. This analysis suggested that our sample size and design would have between 88
and 94% power to detect a 0.3 effect size (d) (details on this analysis and power curve in Supplementary mate-
rial).l Participant inclusion criteria were Nationality and residence in the United States, and fluency in English. Data
were collected at 4 timepoints, over a 4-week period: 24-03-2020 (Week 1, n = 150), 31-03-2020 (Week 2, n = 150),
07-04-2020 (Week 3, n = 150), and 14-04-2020 (Week 4, n = 151). Data collection took place at approximately
20:30 (CEST) each week (i.e., the study was set to active on Prolific at that time). The collection of 4 samples at
different timepoints (rather than N = 600 at one timepoint) provided a way of examining the robustness of the
findings across independent samples, which combined with the statistical approach adopted (Generalized Lin-
ear Mixed Effects Models, see below) has been suggested to improve the generalizability of research findings50. f
gg
p
g
yi
g
Participants completed an online survey consisting of several questionnaire measures, in addition to demo-
graphical information, namely age, gender, employment status, state of residence, socio-economic status and
education level. The full survey (available here: https://osf.io/c8zhn/) took about 15 min to complete. One entry
was excluded because the data appeared to be a duplicate (i.e., two entries had identical responses in open-ended
fields for participant comments and questions, and all demographics except age were identical). The data seemed
otherwise valid, and thus only the first entry was retained. Another participant was excluded due to incomplete
information regarding state of residence, yielding a total of 600 participants in the final sample (Mage = 31.16,
SDage = 10.70, 56.1% female, 2.0% other; Fig. 5). All participants provided informed consent prior to participating. www.nature.com/scientificreports/ At the conceptual level, it is important to note that,
while our operationalization of different defensive states was informed by the threat imminence framework, it
does not entirely match how threat imminence has been previously manipulated in experimental studies. Specifi-
cally, experimental studies have typically manipulated features of threatening stimuli (e.g., spatial proximity),
thereby changing actual threat imminence. Conversely, in our study, we took two approaches: first, we inferred
threat imminence indirectly based on the number of COVID-19 cases; and second, we quantified individual
defensive responses that are thought to reflect variation in perceived threat imminence. This difference in actual
versus perceived threat should be taken into account when interpreting our results, although it is noteworthy
that our results were consistent with a recent experimental study that directly manipulated threat imminence23.f A related limitation refers to the self-report measures used to index different defensive states. While these
measures (DASS-21 scales and Perceived Stress Scale) tapped into dimensions closely related to varying threat
imminence (e.g., predictability/controllability, versus high arousal and feelings of panic), they did not provide
a direct measure of perceived threat imminence. Moreover, our ability to capture extreme levels of stress and
anxiety may have been limited by the fact that high scorers in those measures (e.g., individuals with small chil-
dren at home, or caring for ill relatives) may be less likely to participate in an online study. Finally, it is worth
acknowledging the difficulty in measuring altruistic behaviour during the pandemic due to, among other reasons,
reliance on self-report, and behavioural restrictions imposed by lockdown. Scientific Reports | (2022) 12:18619 | https://doi.org/10.1038/s41598-022-23415-2 www.nature.com/scientificreports/ Figure 5. Demographic information for the sample collected in each week. l
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k Figure 5. Demographic information for the sample collected in each week. www.nature.com/scientificreports/ Objective COVID-19 threat was operationalized by the number of total confirmed cases per
state of residence. Statistical analysis. Changes in everyday altruism and perceived COVID‑19 threat over time. Our first
question was whether increased COVID-19 threat over time was accompanied by higher frequency of self-
reported altruistic behaviours at the population level. To test our hypothesis, we performed one-way ANOVAs,
using perceived COVID-19 threat and everyday altruism as dependent variables. Our main indicator of eve-
ryday altruism was the SRA score. Because some of the items of the SRA describe actions that may be difficult
to perform during a lockdown (e.g., helping a stranger with care troubles), we repeated the ANOVA using as
dependent variable a subset of SRA items referring to donations, given that the ability to carry out those be-
haviours should be less affected (items: 4. I have given money to a charity, 5. I have given money to a stranger
who needed it (or asked me for it), 6. I have donated goods or clothes to a charity, 7. I have done volunteer work
for a charity, 8. I have donated blood; Cronbach’s alpha for SRA donations = 0.7). In each ANOVA, we assessed
whether Perceived COVID-19 threat and indices of everyday altruism (SRA and SRA-donations) varied over the
4 weeks of data collection. Modelling everyday altruism (SRA) as a function of perceived COVID‑19 threat and defensive emotions. Our
second question was whether experiencing different defensive emotional states during the pandemic was associ-
ated with self-reported altruism at the individual level. To assess this question, we adopted a Generalized Linear
Mixed Models (GLMMs) approach. GLMMs explicitly model variance in a hierarchical fashion, in keeping with
the hierarchical structure of datasets in which different observations belong to different groups or were collected
at different timepoints (e.g., week). Thus, this approach allowed us to account for variation in everyday altruism
(SRA; dependent variable) that was explained by our variables of interest (fixed effects), as well as by random
sampling of timepoint (random effect). Initially, both state of residence and week were included as random
effects. However, given (a) the limited and unbalanced number of observations from some US states, (b) the
high number of random effect estimates necessary to model state as a random effect, and c) the negligible vari-
ance explained by the random effect of state, we opted to exclude state from the model. www.nature.com/scientificreports/ Perceived COVID-19 threat was operation-
alized through the COVID-19 Risk Perception Scale (RP) developed by Wise and collaborators26 (M = 45.27,
range = [10, 70]), which measures self-reported feelings and thoughts about the COVID-19 pandemic, including
perceived risk of infection and economic repercussions (e.g., “How likely do you think you are to catch the virus”,
1 = min, 7 = max). Defensive emotional responses were assessed through the Perceived Stress Scale-10 (PSS-1027) and the
Depression Anxiety Stress Scales (DASS-2128). The PSS-10 (M = 20.73, range = 3, 40]) includes 10 items assess-
ing experienced stress, specifically the degree to which individuals perceived their lives to be unpredictable,
uncontrollable, and overloaded in the past month (e.g., “How often have you been upset because something that
happened unexpectedly?”, 1 = never, 5 = very often).h y
yt
The DASS-21 includes 21 items assessing states of stress, anxiety and depression over the past week, using a 1
(Did not apply to me at all), to 4 (applied to me very much or most of the time) scale. The Stress scale (M = 15.29,
range = [0, 42]) measures difficulty relaxing, unspecific nervousness, and being easily upset and impatient (e.g.,
“I found it hard to wind down). The Anxiety scale (M = 8.23, range = [0, 40]), on the other hand, assesses states
of acute anxiety, characterized by high autonomic arousal and skeletal muscle effects (e.g., “I was aware of dry-
ness of my mouth”, “I felt close to panic”), presumably more characteristic of higher perceived threat imminence
(post-encounter and circa-strike contexts). Finally, the Depression scale (M = 14.2, range = [0, 42]) assessed
feeling of dysphoria, hopelessness, devaluation of life, self-deprecation, lack of interest, anhedonia, and inertia
(e.g., “I couldn’t seem to experience any positive feeling at all”). Although not the focus of the present study, the
depression scale was included to account for shared variance with stress and anxiety. p
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All questionnaires were used at all time points, with the exception of the items assessing frequency of altruistic
behaviours towards different targets, which were only measured on Weeks 3 and 4.h f
The COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins
University (https://github.com/CSSEGISandData/COVID-19/) was used as a resource for obtaining objective
COVID-19 data during the time window of the study, including the number of cases and fatalities per state in
the United States. www.nature.com/scientificreports/ another person, without any benefit for yourself. Examples would be donating money, clothes or food, caring
for someone who was unwell, assisting someone in a task they were unable to complete on their own, etc. If any
of these or similar behaviours occurred in the last few weeks, how many of those behaviours were directed at…”. Subsequently, participants rated the amount of such behaviours that were directed at a relative (Help relative), a
friend (Help friend), an acquaintance (Help acquaintance), a stranger or a charity (Help stranger), a person having
a lot in common with (Help ingroup), and a person having nothing or very little in common with (Help outgroup;
1 = none, 4 = all). The idea to include these measures arose after the study had been initiated, and therefore these
additional items are only available for Weeks 3 and 4 (n = 300). another person, without any benefit for yourself. Examples would be donating money, clothes or food, caring
for someone who was unwell, assisting someone in a task they were unable to complete on their own, etc. If any
of these or similar behaviours occurred in the last few weeks, how many of those behaviours were directed at…”. Subsequently, participants rated the amount of such behaviours that were directed at a relative (Help relative), a
friend (Help friend), an acquaintance (Help acquaintance), a stranger or a charity (Help stranger), a person having
a lot in common with (Help ingroup), and a person having nothing or very little in common with (Help outgroup;
1 = none, 4 = all). The idea to include these measures arose after the study had been initiated, and therefore these
additional items are only available for Weeks 3 and 4 (n = 300). y
Additionally, to assess prosocial intentions (rather than performed behaviour), we used the Prosocial Behav-
ioural Intentions Scale52, wherein individuals rate how likely they would be to engage in 4 types of prosocial
actions (“Comfort someone I know after they experience a hardship”, “Help a stranger find something they lost,
like their key or a pet”, “Help care for a sick friend or relative”, “Assist a stranger with a small task (e.g., help carry
groceries, watch their things while they use the restroom”). Perceived COVID‑19 threat and defensive emotional responses. Methods
Participants. age
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All methods and experimental protocols were carried out in accordance with relevant guidelines and regula-
tions, and approved by the Karolinska Institutet (Sweden) and the Etikprövningsmyndigheten (Ethics review
authority). Questionnaire measures. Everyday altruism. Everyday altruism was measured through the widely used
Self-Report Altruism Scale51 (M = 50.83, SD = 11.44, range = [24, 98]; SRA normative data from51 mean = 55.40
and SD = 10.57), in which participants rate the frequency (1 = never, 5 = very often) with which they engaged in
20 different everyday altruistic behaviours (e.g., “I have given money to a charity”, “I have offered my seat on a
bus or train to a stranger who was standing”). These ratings are believed to reflect both the frequency of per-
formed altruistic acts, and the individual’s endorsement of helping others in everyday situations51.h The SRA does not specify a timeframe for the occurrence of altruistic actions, thereby including both acts
performed in the weeks leading up to the moment of data collection (i.e., during the pandemic), as well as prior in
the participant’s life. To obtain more detailed information about self-reported altruistic actions specifically during
the timeframe of the study, we created 5 additional items in which participants rated the frequency of altruistic
actions towards different targets: “In the last few weeks, think of anything you may have done to help or benefit Scientific Reports | (2022) 12:18619 | https://doi.org/10.1038/s41598-022-23415-2 www.nature.com/scientificreports/ www.nature.com/scientificreports/ www.nature.com/scientificreports/ Key fixed effects of interest included in Model 1 were: (1) perceived COVID-19 threat (COVID-19 RP scale);
(2) stress (PSS), defined as feelings of uncontrollability and unpredictability, which are more characteristic in
response to situations of lower threat imminence; and, (3) anxiety (DASS-21 Anxiety), defined as a state of
high autonomic arousal, acute anxiety and panic, consistent with emotional responses to threats perceived as
predictable and imminent. Of note, the PSS score was chosen over the DASS-21 Stress scale to index stress due
to the stronger correlation between DASS-21 Stress and Anxiety (Fig. 4). Importantly, we verified that includ-
ing DASS-21 Stress instead of PSS in the models did not change the direction of results (see Supplementary
material). Although not the focus of our hypotheses, Depression was also included as a fixed effect, since it is
thought to have important associations with stress and anxiety-related responses29. Including Depression in our
models was critical to account for shared variance with stress and anxiety, especially given we hypothesized the
opposite association between altruism and acute defensive emotions (positive) to that previously described for
Depression (negative)53,54. Multicollinearity diagnostics using the Kappa statistic and Variance Inflation Factor
(VIF) did not suggest problematic collinearity when stress, anxiety and depression were included in the same
models (all kappas < 3.66; all VIFs < 5). Also, including Depression did not affect the direction or significance of
the main findings (Supplementary material).if In addition to the fixed effects of interest, we modelled demographic variables with a presumed association
with altruistic motivation, namely age, gender, socio-economic status and employment (Model 2). Briefly, (1)
age has been shown before to be positively associated with prosocial tendencies55,56; (2) gender may modulate
prosocial behaviour6,57, particularly in stressful situations32; and (3) socio-economic and employment status could
compromise one’s ability to carry out some types of altruistic acts (e.g., money donations), and affect subjective
wellbeing, which has been previously linked with altruism7. Modelling other indicators of altruism during the pandemic. Because our main measure of every-
day altruism (SRA) does not specify a timeframe for the reported behaviours, we performed additional GLMM
using the Help stranger item as dependent variable (Model 3). This item assessed the frequency of altruistic acts
towards a stranger or charity in the last few weeks. www.nature.com/scientificreports/ This measure was chosen because: (1) it specifies a timeframe
consistent with the pandemic; (2) in assessing altruism towards a stranger/charity, it was deemed a “purer” meas-
ure of altruism than the items assessing frequency of altruistic actions towards relatives, friends or acquaint-
ances, which can be inherently rewarding, or reciprocity-based.fi y
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Another limitation of using the SRA is that some of its items describe actions that may be difficult to perform
during a lockdown (e.g., helping a stranger with care troubles). To minimize this potential concern, we also
repeated the GLMM analysis using the SRA-donations as dependent variable (Model 4). p
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Finally, we repeated the analysis using the Prosocial Behavioral Intentions scale (PBI).hf The description of the different models tested is presented together with the respective results in the next
section, to improve readability. Also, for the sake of conciseness, not all steps of the modelling were included
in the main text. All modelling steps and results, code, model assumptions, as well as an analysis assessing the
robustness of the effects within each week are available in Supplementary material. Correlations among measures of prosociality and defensive emotions. Finally, at an exploratory level, we used
zero-order Pearson correlations to examine associations between self-reported altruism, other measures of
prosocial behaviour (Prosocial Behavioral Intentions Scale, items assessing altruistic behaviours towards dif-
ferent targets), and measures assessing defensive emotional states (anxiety and stress). These analyses were per-
formed across all weeks (N = 600), except for the items assessing altruism towards different targets, for which
only two Week 2 and 3 were available (N = 300). Correlation analyses between these items were Sidak-corrected
for multiple comparisons. p
p
All analyses were implemented in R, and the GLMMs performed using lme4 package58 with standardized
variables. The significance level was set at α < 0.05. In line with open science practices, all analytical decisions
and steps are detailed in Supplementary material, and all data, study materials and code are publicly available
on the OSF project page (https://osf.io/c8zhn/). Data availability All data, code and study materials are publicly available on OSF (https://osf.io/c8zhn/). All data, code and study materials are publicly available on OSF (https://osf.io/c8zhn Received: 26 April 2022; Accepted: 31 October 2022 Received: 26 April 2022; Accepted: 31 October 2022 h
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Open access funding provided by Karolinska Institute. This research was supported by the Knut and Alice Wal-
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51. Rushton, J. P., Chrisjohn, F. R. D. & Fekken, G. C. The Altruist Ic Personal Ity and the Self-Rep 52. Baumsteiger, R. & Siegel, J. T. Measuring prosociality: The development of a prosocial behavioral intentions scale. J. Pers. Assess. 101, 305–314 (2019).h 53. Frick, A., Thinnes, I., Hofmann, S. G., Windmann, S. & Stangier, U. Reduced social connectedness and compassion toward close
others in patients with chronic depression compared to a non-clinical sample. Front. Psychiatry 12, 608607 (2021). 4. Kupferberg, A., Bicks, L. & Hasler, G. Social functioning in major depressive disorder. Neurosci. Biobehav. Rev. 69, 313–332 (2016) 54. Kupferberg, A., Bicks, L. & Hasler, G. Social functioning in major depressive disorder. Neurosci. Biobehav. Rev. 69, 313–332 (2016). 55. Matsumoto, Y., Yamagishi, T., Li, Y. & Kiyonari, T. Prosocial behavior increases with age across five economic games. PLoS ONE
11, e0158671 (2016). 6. Sze, J. A., Gyurak, A., Goodkind, M. S. & Levenson, R. W. Greater emotional empathy and prosocial behavior in late life. Emot
Wash. DC 12, 1129–1140 (2012). https://doi.org/10.1038/s41598-022-23415-2 Scientific Reports | (2022) 12:18619 | Competing interests h p
g
The authors declare no competing interests. Additional informationh Additional information
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Correction: Exocytosis of ATP From Astrocytes Modulates Phasic and Tonic Inhibition in the Neocortex
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PLoS biology
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The PLOS Biology Staff The authors noticed an error in Panel 2A of Figure 2, and they
have now provided a corrected version here. Figure 2. Ca2+-dependent release of ATP can be evoked in the
cortical astrocytes of the wild-type but not of the dn-SNARE
mice. Release of ATP from cortical astrocytes of wild-type (A, B) and dn-
SNARE mice (C) was detected using the sniffer cells as described in
Figure 1. (A) Elevation of cytosolic Ca2+ level was elicited in the
astrocytes by UV uncaging and by rapid application of the agonist of
PAR-1 metabotropic receptor TFLLR (10 mM) or the agonist of glutamate
ionotropic receptor NMDA (20 mM). (B) Inhibition of vacuolar H-ATPase
in the astrocytes with Bafilomycin A1 (1 mM for 2 h) dramatically
decreased both the amplitude and frequency of phasic currents. (C)
Elevation of the Ca2+ level in any of the dn-SNARE astrocytes did not
lead to activation of phasic purinergic currents in the sniffer cell. Inlays
in (A–C) show examples of individual phasic currents recorded at
moments indicated; scale bars are 50 ms and 10 pA. (D) The amplitude
and decay time distributions of purinergic currents recorded in the
HEK293-P2X2 cells after stimulation of the astrocytes; data were pooled
for number of experiments indicated in (E). The grey dotted line shows
the best fit of quantal model to the distribution of UV-activated
currents. (E) The pooled data (mean 6 SD for indicated numbers of
experiments) on net release of ATP were assessed as total charge
transferred by spontaneous currents in the sniffer cell. The effects of
bafylomicin and dn-SNARE expression on net charge transferred by
purinergic currents were statistically significant at p = 0.005 (two-
population t test). doi:10 1371/journal pbio 1001747 g002 Figure 2. Ca2+-dependent release of ATP can be evoked in the
cortical astrocytes of the wild-type but not of the dn-SNARE
mice. Release of ATP from cortical astrocytes of wild-type (A, B) and dn-
SNARE mice (C) was detected using the sniffer cells as described in
Figure 1. (A) Elevation of cytosolic Ca2+ level was elicited in the
astrocytes by UV uncaging and by rapid application of the agonist of Figure 2. Ca2+-dependent release of ATP can be evoked in the
cortical astrocytes of the wild-type but not of the dn-SNARE
mice. Correction
Correction: Exocytosis of ATP From Astrocytes Modulates
Phasic and Tonic Inhibition in the Neocortex Correction
Correction: Exocytosis of ATP From Astrocytes Modulates
Phasic and Tonic Inhibition in the Neocortex Correction Correction: Exocytosis of ATP From Astrocytes Modulates
Phasic and Tonic Inhibition in the Neocortex The PLOS Biology Staff Release of ATP from cortical astrocytes of wild-type (A, B) and dn-
SNARE mice (C) was detected using the sniffer cells as described in
Figure 1. (A) Elevation of cytosolic Ca2+ level was elicited in the
astrocytes by UV uncaging and by rapid application of the agonist of
PAR-1 metabotropic receptor TFLLR (10 mM) or the agonist of glutamate
ionotropic receptor NMDA (20 mM). (B) Inhibition of vacuolar H-ATPase
in the astrocytes with Bafilomycin A1 (1 mM for 2 h) dramatically
decreased both the amplitude and frequency of phasic currents. (C)
Elevation of the Ca2+ level in any of the dn-SNARE astrocytes did not
lead to activation of phasic purinergic currents in the sniffer cell. Inlays
in (A–C) show examples of individual phasic currents recorded at
moments indicated; scale bars are 50 ms and 10 pA. (D) The amplitude
and decay time distributions of purinergic currents recorded in the
HEK293-P2X2 cells after stimulation of the astrocytes; data were pooled
for number of experiments indicated in (E). The grey dotted line shows
the best fit of quantal model to the distribution of UV-activated
currents. (E) The pooled data (mean 6 SD for indicated numbers of
experiments) on net release of ATP were assessed as total charge
transferred by spontaneous currents in the sniffer cell. The effects of
bafylomicin and dn-SNARE expression on net charge transferred by
purinergic currents were statistically significant at p = 0.005 (two-
population t test). Figure 2. Ca2+-dependent release of ATP can be evoked in the
cortical astrocytes of the wild-type but not of the dn-SNARE
mice. Release of ATP from cortical astrocytes of wild-type (A, B) and dn-
ff Citation: The PLOS Biology Staff (2014) Correction: Exocytosis of ATP From
Astrocytes Modulates Phasic and Tonic Inhibition in the Neocortex. PLoS
Biol 12(4): e1001857. doi:10.1371/journal.pbio.1001857 p p
doi:10.1371/journal.pbio.1001747.g002 p p
doi:10.1371/journal.pbio.1001747.g002 1. Lalo U, Palygin O, Rasooli-Nejad S, Andrew J, Haydon PG, et al. (2014)
Exocytosis of ATP From Astrocytes Modulates Phasic and Tonic Inhibition in
the Neocortex. PLoS Biol 12(1): e1001747. doi:10.1371/journal.pbio.1001747 Correction: Exocytosis of ATP From Astrocytes Modulates
Phasic and Tonic Inhibition in the Neocortex The PLOS Biology Staff Citation: The PLOS Biology Staff (2014) Correction: Exocytosis of ATP From
Astrocytes Modulates Phasic and Tonic Inhibition in the Neocortex. PLoS
Biol 12(4): e1001857. doi:10.1371/journal.pbio.1001857 Published April 14, 2014 Published April 14, 2014 Copyright: 2014 The PLOS Biology Staff. 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. PLOS Biology | www.plosbiology.org 1 April 2014 | Volume 12 | Issue 4 | e1001857 April 2014 | Volume 12 | Issue 4 | e1001857
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Asteraceae
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Bothalia
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Bothalia 43,2 (2013) Bothalia 43,2 (2013) 227 SENECIO PSEUDOLONGIFOLIUS, A NEW NAME FOR THE MISAPPLIED S. LINIFOLIUS FIGURE 1.—Lectotype of Senecio linifolius L. (G00360056). Senecio linifolius L. (1759) was based on a South
African collection in the herbarium of J. Burman
(Wijnands 1983). Linnaeus (1763) later published the
replacement name S. longifolius L. for the species to
avoid homonymy with his new combination S. linifo-
lius (L.) L. (1763) for a Mediterranean species based on
Solidago linifolia L. (1753). These two nomenclatural
steps transgress two articles in the International Code
of Nomenclature (McNeill et al. 2012): the replacement
S. longifolius L. (1763) is superfluous and illegitimate
(Art. 52), and the combination Senecio linifolius (L.) L. (1763) is a heterotypic later homonym of S. linifolius L. (1759) and therefore nomenclaturally illegitimate (Art. 53). The name S. linifolius L. (1759) is therefore cor-
rectly applied to the South African species. For the Med-
iterranean species, the earliest available name appears to
be Senecio malacitanus Huter (1905). The illegitimate Senecio longifolius L. (1763) has,
however, been widely taken up and used in the taxo-
nomic literature (e.g. Bergius 1767; Willdenow 1803;
Candolle 1838; Schultz 1844; Harvey 1865; Juel 1918;
Bond & Goldblatt 1984) and has also made the transi-
tion to the popular literature (Batten & Bokelman 1966). It is only recently that the name S. linifolius has been
applied to the South African taxon (Manning & Gold-
blatt 2012). As currently understood, S. linifolius is a
small shrub from the Eastern Cape, with the leaves clus-
tered apically on basally leafless stems and abruptly dif-
ferentiated from the inflorescence bracts. The terminal
synflorescences are distinctly pedunculate, loose cymes
with the capitula subtended by four or five supplemen-
tary bracts (bracteoles) and containing five ligulate flo-
rets each. FIGURE 1.—Lectotype of Senecio linifolius L. (G00360056). Senecio linifolius L. (1759) was lectotypified by
Wijnands (1983) against a specimen in the Burman
Herbarium at the Conservatoire et Jardin botaniques de
la Ville de Genève (G) (Figure 1). This specimen com-
prises a single flowering branch. The leaves are scattered
along the entire length of the stem and grade gradually
into the inflorescence bracts. The capitula are subtended
by numerous supplementary bracts (bracteoles) and each
contains more than five ligulate florets. In none of these respects does it match the current usage of S. linifolius
L., which appears to have been established by Harvey
(1865), and whose description for the Flora capensis
matches the current concept exactly. SENECIO PSEUDOLONGIFOLIUS, A NEW NAME FOR THE MISAPPLIED S. LINIFOLIUS Harvey (1865) also
included the name Cineraria filifolia Thunb. (1800) as
a synonym of S. longifolius L. The collection under this respects does it match the current usage of S. linifolius
L., which appears to have been established by Harvey
(1865), and whose description for the Flora capensis
matches the current concept exactly. Harvey (1865) also
included the name Cineraria filifolia Thunb. (1800) as
a synonym of S. longifolius L. The collection under this 228 Bothalia 43,2 (2013) name in Thunberg’s herbarium (UPS-THUNB19915) is
consistent with this interpretation of the name (Figure
2). FIGURE 2.—Lectotype of Cineraria filifolia [Senecio pseudolongifo-
lius] (Thunberg s.n. UPS-THUNB19915). It is evident, therefore, that the name S. linifolius L. has been incorrectly applied since Harvey’s (1865) time. From the Burman lectotype, it appears to us to closely
resemble S. burchellii DC., S. inaequidens DC. or an
allied species, but this group is in need of a comprehen-
sive taxonomic revision and its precise identity remains
to be established. As an aside, the name S. odontophyllus Wallich
ex C.Jeffrey (1992), published by Jeffrey (1992) as
a replacement name for the Indian species until then
known under the illegitimate later homonym S. linifolius
(Wallich ex DC.) C.B.Clarke (1876) [non S. linifolius
L. (1759)], was mistakenly applied to S. linifolius L. by
Goldblatt & Manning (2000) but later corrected (Gold-
blatt & Manning 2010). What, then, is the correct name for the Eastern Cape
taxon currently treated as S. linifolius? The transfer to
Senecio of the only available name, Cineraria filifolia
Thunb. (1800), is unfortunately blocked by the exist-
ence of S. filifolius P.J Bergius (1767). C.H. Schultz
(1844) included the manuscript name S. pseudolongi-
folius as a synonym of S. longifolius in his Compositae
Kraussianae, and this name remains invalidly published
(MacNeill et al. 2012: Art. 34.1). The relevant mate-
rial to which this name applies is a collection made by
C.F. Krauss during April and June 1839 near Uitenhage
in Eastern Cape under the number 552. We have located
two duplicates of this collection, one at TUB, compris-
ing four fragments, and the other at MO comprising a
single fragment. Krauss’s collection is consistent with
the current interpretation of S. linifolius in both mor-
phology and locality, making it clear that Schultz inter-
preted the species as currently understood. We therefore
validate the name S. pseudolongifolius as a replacement
name for Cineraria filifolia Thunb. (1800). SENECIO PSEUDOLONGIFOLIUS, A NEW NAME FOR THE MISAPPLIED S. LINIFOLIUS FIGURE 2.—Lectotype of Cineraria filifolia [Senecio pseudolongifo-
lius] (Thunberg s.n. UPS-THUNB19915). Senecio pseudolongifolius Sch.Bip. ex J.Calvo, nom. nov. pro Cineraria filifolia Thunb., Prodr. Pl. Cap.: 154
(1800) [non Senecio filifolius P.J.Bergius (1767)]. Type:
South Africa, Cap. bonae Spei, without precise locality
or date, C.P. Thunberg s.n. (UPS-THUNB19915, lecto.,
designated here). Senecio linifolius [as ‘linifolia’] L., Systema naturae,
ed. 10, 2: 1215 (1759). S. longifolius L.: 1222 (1763),
nom. illegit. superfl. Type: ‘Habitat ad Cap. b. spei.’,
herb. Burmann [G00360056, lecto., designated by
Wijnands: 83 (1983)]. Senecio linifolius [as ‘linifolia’] L., Systema naturae,
ed. 10, 2: 1215 (1759). S. longifolius L.: 1222 (1763),
nom. illegit. superfl. Type: ‘Habitat ad Cap. b. spei.’,
herb. Burmann [G00360056, lecto., designated by
Wijnands: 83 (1983)]. Senecio pseudolongifolius Sch.Bip. in Flora
27(2): 699 (1844), nom. inval. pro syn. S. longifolius L. Senecio pseudolongifolius Sch.Bip. in Flora
27(2): 699 (1844), nom. inval. pro syn. S. longifolius L. Senecio malacitanus Huter in Oesterreichische bota-
nische Zeitschrift; gemeinütziges Organ für Botanik 55:
402 (1905). Type: Herb. Huter. Senecio malacitanus Huter in Oesterreichische bota-
nische Zeitschrift; gemeinütziges Organ für Botanik 55:
402 (1905). Type: Herb. Huter. Senecio longifolius sensu Harv. (1865), non
L. (1759). Senecio odontophyllus sensu Goldblatt & Man-
ning (2000), non [Wallich ex] C.Jeffrey (1992). Senecio odontophyllus sensu Goldblatt & Man-
ning (2000), non [Wallich ex] C.Jeffrey (1992). Solidago linifolia L.: 881 (1753). Senecio lini-
folius (L.) L.: 1220 (1763), hom. illegit. [non Senecio
linifolius L. (1759)]. Type: ‘Iacobaea Linifolio His-
panica et Ital.’, illustration in Boccone: t. 49 (1697)
[lecto., designated by Wijnands: 83 (1983)]. ACKNOWLEDGEMENTS We are grateful to Cornelia Dilger-Endrulat (TUB),
Mats Hjertson (UPS), and the staff of the Herbarium
at the Conservatoire et Jardin botaniques de la Ville de
Genève for kindly sending photographs of type mate-
rial. Special thanks to Joan Pedrol who recorded the first
naturalized population of S. pseudolongifolius in the
Iberian Peninsula, which led to our interest on this mat-
ter. This work was financed by the Flora iberica project
(CGL2011-28613-C03-01). Senecio odontophyllus Wallich [Aster odontophyllus
Wallich, nom. nud. in Cat. no. 3285 comp. no. 395] ex
C.Jeffrey in Kew Bulletin 47(1): 95 (1992), as a replace-
ment name for S. linifolius (Wallich ex DC.) C.B.Clarke:
202 (1876), non S. linifolius L. (1759). Doronicum lini-
folius Wallich [Aster linifolius Wallich, nom. nud in
herb.] ex DC.: 322 (1838). Type: India, ‘Khasia’, Herb. Wallich. 229 Bothalia 43,2 (2013) ** Compton Herbarium, South African National Biodiversity Institute,
Private Bag X7, 7735 Claremont, Cape Town; Research Centre for
Plant Growth and Development, School of Life Sciences, University of
KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville 3209,
South Africa. * Real Jardín Botánico-CSIC, Plaza de Murillo 2, E-28014 Madrid,
Spain. E-mail: calvocasas@gmail.com. REFERENCES ** Compton Herbarium, South African National Biodiversity Institute,
Private Bag X7, 7735 Claremont, Cape Town; Research Centre for
Plant Growth and Development, School of Life Sciences, University of
KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville 3209,
South Africa. JUEL, H.O. 1918. Plantae Thunbergianae. Akademiska bokhandeln,
Uppsala & Otto Harrassowitz, Leipzig. JEFFREY, C. 1992. The tribe Senecioneae (Compositae) in the Mas-
carene Islands with an annotated world check-list of the genera
of the tribe. Kew Bulletin 47,1: 95. Ethesia tanquana Mart.-Azorín & M.B.Crespo (Mar-
tínez-Azorín & Crespo 2012), Stellarioides chartacea
Mart.-Azorín et al. (Martínez-Azorín et al. 2013a) and
Trimelopter craibii Mart.-Azorín et al. (Martínez-Azorín
et al. 2013b) (Hyacinthaceae: Ornithogaloideae) are
recently described novelties from southern Africa. They
were named following the generic classification of the
subfamily proposed by Martínez-Azorín et al. (2011),
one of two recent classifications for the subfamily deri-
ved from substantively the same molecular phylogeny. The alternative classification adopted by Manning et al. (2009) is the preferred option among southern African
botanists, where it has been adopted by the major her-
baria in the country (e.g. BOL, NBG, PRE). We provide
combinations for the three new taxa in this classification
to permit their integration into collections and literature. Ornithogalum recurvum Oberm. (1971) was treated
as a synonym of O. stapffii Schinz until resurrected by
Martínez-Azorín & Crespo (in press). We provide the
necessary combination in Albuca. We also provide the new combination Albuca comosa
(Welw. ex Baker) J.C.Manning & Goldblatt, based on
Urginea comosa Welw. ex Baker (Baker 1874), as the
correct name for the species known until now as either
Ornithogalum pulchrum Schinz or Albuca pulchra
(Schinz) J.C.Manning & Goldblatt. The transfer of this
basionym to Ornithogalum was precluded by the exis-
tence of the earlier Ornithogalum comosum L. (1753),
but we overlooked its availability in Albuca until alerted
to this fact by Martínez-Azorín & Crespo (2013). Finally, we recommend that all future descriptions of
species and any new combinations in Ornithogaloideae
include an optional combination in the alternative clas-
sification (i.e. Manning et al. 2009 or Martínez-Azorín
et al. 2011) to obviate the necessity for separate publica-
tion of these combinations, and to facilitate their direct
integration into existing collections and databases. Albuca chartacea (Mart.-Azorín et al.) J.C.Manning
& Goldblatt, comb. nov. [subg. Urophyllon (Salisb.)
J.C.Manning & Goldblatt]. Stellarioides chartacea
Mart.-Azorín et al. in Phytotaxa 85: 2 (2013). Albuca craibii (Mart.-Azorín et al.) J.C.Manning
& Goldblatt, comb. REFERENCES LINNAEUS, C. 1753. Species plantarum. Salvius, Stockholm. LINNAEUS, C. 1759. Systema naturae, ed. 10. Salvius, Stockho BATTEN, A. & BOKELMANN, H. 1966. Wild flowers of the Eastern
Cape Province. Books of Africa, Cape Town. LINNAEUS, C. 1763. Species plantarum, ed. 2. Salvius, Stockholm. MANNING, J.C. & GOLDBLATT, P. 2012. Plants of the Greater Cape
Floristic Region 1: the Core Cape Flora. Strelitzia 29. South
African National Biodiversity Institute, Pretoria. p
p
BERGIUS, P.J. 1767. Descriptiones plantarum ex Capite Bonae Spei. Salvius, Stockholm. ,
BOCCONE, P. 1697. Museo di piante rare della Sicilia, Malta, Corsica,
Italia, Piemonte, e Germania. Per Io: Baptista Zuccato, Venetia. MCNEILL, J., BARRIE, F.R., BUCK, W.R., DEMOULIN, H.M.,
GREUTER, W., HAWKSWORTH, D.L., HERENDEEN, P.S.,
KNAPP, S., MARHOLD, K., PRADO, J., PRUD’HOMME van
REINE, W.F., SMITH, G.F., WIERSEMA, J.H. & TURLAND,
N.J. 2012. International Code of Nomenclature for algae, fungi,
and plants (Melbourne Code). Regnum Vegetabile 154. Koeltz
Scientific Books, Königstein. Italia, Piemonte, e Germania. Per Io: Baptista Zuccato, Vene BOND, P. & GOLDBLATT, P. 1984. Plants of the Cape Flora: a des-
criptive catalogue. Journal of South African Botany Supple-
mentary Volume 13. National Botanic Gardens of South Africa,
Kirstenbosch. CANDOLLE, de, A.P. 1838. Prodromus systematis naturalis regni
vegetabilis 6. Sumptibus Sociorum Treuttel et Würtz, Paris. i
g
SCHULTZ, C.H. 1844. Compositae Kraussianae. Flora 27,2: 667–702. CLARKE, C.B. 1876. Compositae indica. Thacker, Spink & Co., Cal-
cutta; Thacker, Viking & Co., Bombay; W. Thacker & Co., Lon-
don. THUNBERG, C.P. 1800. Prodromus plantarum capensium, pars poste-
rior. J.F. Edman, Uppsala. WIJNANDS, O. 1983. The botany of the Commelins. A.A. Balkema,
Rotterdam. GOLDBLATT, P. & MANNING, J.C. 2000. Cape plants: a conspectus
of the Cape flora of South Africa. Strelitzia 9. National Botanical
Institute, Cape Town & Missouri Botanical Garden, St. Louis. WILLDENOW. 1803. Species plantarum, ed. 4. 3(3). G.C. Nauk, Ber-
lin. p
GOLDBLATT, P. & MANNING, J.C. 2010. New synonyms and a new
name in Asteraceae: Senecioneae from the southern African win-
ter rainfall region. Bothalia 40,1: 37–46. J. CALVO*, J. MANNING**, F. MUÑOZ GARMENDIA* &
C. AEDO* HARVEY, W.H. 1865. Compositae. In W.H. Harvey & O.W. Sonder
(eds.), Flora capensis 3: 44–530. Hodges, Smith & Co., Dublin;
I.C. Juta, Cape Town. * Real Jardín Botánico-CSIC, Plaza de Murillo 2, E-28014 Madrid,
Spain. E-mail: calvocasas@gmail.com. p
HUTER, R. 1905. Herbar-Studien. Oesterreichische botanische
Zeitschrift; gemeinütziges Organ für Botanik 55,10: 400–406. REFERENCES nov. [subg. Monarchos (U.Müll.-
Doblies & D.Müll.-Doblies) J.C.Manning & Goldblatt]. Trimelopter craibii Mart.-Azorín et al. in Phytotaxa 87:
52 (2013). Albuca comosa (Welw. ex Baker) J.C.Manning &
Goldblatt, comb. nov. [subg. Namibiogalum (U.Müll.-
Doblies & D.Müll.-Doblies) J.C.Manning & Goldblatt]. Urginea comosa Welw. ex Baker in Transactions of the
Linnaean Society London, Botany 1: 247 (1878). HYACINTHACEAE
FIVE NEW COMBINATIONS IN ORNITHOGALOIDEAE IN SOUTHERN AFRICA AND A
RECOMMENDATION FOR OPTIONAL COMBINATIONS IN THE SUBFAMILY
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Metabolomics, machine learning and immunohistochemistry to predict succinate dehydrogenase mutational status in phaeochromocytomas and paragangliomas
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Journal of pathology
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cc-by
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Journal of Pathology
J Pathol 2020; 251: 378–387
Published online 1 July 2020 in Wiley Online Library
(wileyonlinelibrary.com) DOI: 10.1002/path.5472 Journal of Pathology
J Pathol 2020; 251: 378–387
Published online 1 July 2020 in Wiley Online Library
(wileyonlinelibrary.com) DOI: 10.1002/path.5472 ORIGINAL PAPER ORIGINAL PAPER Metabolomics, machine learning and immunohistochemistry to
predict succinate dehydrogenase mutational status in
phaeochromocytomas and paragangliomas E-mail: susan.richter@uniklinikum-dresden.de Metabolomics, machine learning and immunohistochemistry to
predict succinate dehydrogenase mutational status in
phaeochromocytomas and paragangliomas Paal W Wallace1
, Catleen Conrad1, Sascha Brückmann2, Ying Pang3, Eduardo Caleiras4, Masanori Murakami5,
Esther Korpershoek6, Zhengping Zhuang7, Elena Rapizzi8, Matthias Kroiss9, Volker Gudziol10,11, Henri JLM Timmers12,
Massimo Mannelli8, Jens Pietzsch14,15, Felix Beuschlein5,16, Karel Pacak3, Mercedes Robledo17, Barbara Klink18,19,
Mirko Peitzsch1, Anthony J Gill20,21,22, Arthur S Tischler23, Ronald R de Krijger24,25, Thomas Papathomas26,
Daniela Aust27, Graeme Eisenhofer1,13 and Susan Richter1* 1
Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Medical Faculty Carl Gustav Carus, Technische
Universität Dresden, Dresden, Germany 2
Institute of Pathology, University Hospital Carl Gustav Carus, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
3
Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
4
Histopathology Core Unit, Spanish National Cancer Research Centre (CNIO), Calle de Melchor Fernández Almagro, Madrid, Spain
5
Medizinische Klinik and Poliklinik IV Ludwig Maximilians Universität München Munich Germany 2
Institute of Pathology, University Hospital Carl Gustav Carus, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
3
Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
4
Histopathology Core Unit, Spanish National Cancer Research Centre (CNIO), Calle de Melchor Fernández Almagro, Madrid, Spain
5 6
Department of Pathology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlan 6
Department of Pathology, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands 7
Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesd 7
Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health 8
Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy 8
Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy tal and Clinical Medicine, University of Florence, Florence, Italy 9
Department of Internal Medicine, Division of Endocrinology, University Hospital, University o 9
Department of Internal Medicine, Division of Endocrinology, University Hospital, University of Würzburg, Würzburg, Germany
0 10 Klinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Hals-Chirurgie, Plastische Op
Lehrkrankenhaus der Technischen Universität Dresden, Dresden, Germany f
pf
g
Lehrkrankenhaus der Technischen Universität Dresden, Dresden, Germany Lehrkrankenhaus der Technischen Universität Dresden, Dresden, Germany Departments of Otorhinolaryngology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany 11 Departments of Otorhinolaryngology, University Hospital Carl Gustav Carus, Technische Universität Dresd
12 ents of Otorhinolaryngology, University Hospital Carl Gustav Caru 12 Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands 12 Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands 13 Department of Medicine III, University Hospital Dresden, Dresden, Germany 13 Department of Medicine III, University Hospital Dresden, Dresden, Germany nt of Medicine III, University Hospital Dresden, Dresden, Germany 13 Department of Medicine III, University Hospital Dresden, Dresden, Germany
14 14 Department of Radiopharmaceutical and Chemical Biology, Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-
Rossendorf, Dresden, Germany
15 15 Faculty of Chemistry and Food Chemistry, School of Science, Technische Universität Dresden, Dresden, Germany
16 15 Faculty of Chemistry and Food Chemistry, School of Science, Technische Universität Dresden, Dresden, Germany
16 16 Department for Endocrinology, Diabetology and Clinical Nutrition, UniversitätsSpital Zürich, Zurich, Switzerland 16 Department for Endocrinology, Diabetology and Clinical Nutrition, UniversitätsSpital Zürich, Zurich, Switzerland 17 Hereditary Endocrine Cancer Group, CNIO, Madrid, Spain and Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER),
Madrid, Spain 18 Institute for Clinical Genetics, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany 18 Institute for Clinical Genetics, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Ger 19 Department of Genetics, Laboratoire National de Santé, Dudelange, Luxembourg 19 Department of Genetics, Laboratoire National de Santé, Dudelange, Luxembourg 20 Royal North Shore Hospital, Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Sydney, Australia
21 Royal North Shore Hospital, Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Sydney, Australia
21 School of Medicine, University of Sydney, Sydney, Australia 21 School of Medicine, University of Sydney, Sydney, Australia
22 21 School of Medicine, University of Sydney, Sydney, Australia 22 NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards, Australia
23 23 Department of Pathology and Laboratory Medicine, Tufts University School of Medicine, Boston, MA, USA 24 Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands 26 Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham, UK
27 26 Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham, UK
27 *Correspondence to: S Richter, Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Fetscherstraße 74,
01307 Dresden, Germany. Introduction Another method to assess SDH functionality is based
on measurements of Krebs cycle metabolites by liquid
chromatography–mass spectrometry (LC–MS/MS), the
same instrument also now used for biochemical diagno-
sis of PPGL [11,12]. Metabolite profiling assesses the
functionality of SDH directly at the catalytic level by
measuring the precursor succinate and the product fuma-
rate. The ratio of these two metabolites, the tissue succi-
nate to fumarate ratio (SFR), can predict SDHx
mutations with a high sensitivity and specificity in PPGL
and is also now being applied to other tumours [11,13]. Mitochondrial enzymes, such as succinate dehydroge-
nase (SDH), or complex II of the respiratory chain, play
a central role in energy homeostasis within the cell. The
complex is made up of four subunits (SDHA, SDHB,
SDHC, and SDHD) and assembly is assisted by several
factors, including SDHAF2. Mutations of genes encod-
ing these proteins can result in phaeochromocytomas
and paragangliomas (PPGLs), gastrointestinal stromal
tumours, renal cell carcinomas, and pituitary adenomas
[1]. The mutations occur almost exclusively in the germ-
line, leaving the patient and potentially family members
at lifelong risk for disease. Mutations in SDHB in partic-
ular predispose to metastatic PPGL and are associated
with increased mortality [2,3]. Endocrine guidelines
therefore advise that genetic testing should be offered
to all patients with PPGL [4]. So far, there has been no formal comparison of the two
methods for predicting SDHx mutational status. The
nature of the techniques is different, one involving func-
tional assessment of enzyme activity versus histological
information about the presence of protein, but both offer-
ing complementary potential. Based on the ability of
machine learning to recognise patterns in data in a way
the human mind is not trained [14,15], we also investi-
gated whether such an approach can improve predictions
from metabolite data beyond the currently used SFR
[11,12]. Since one of the disadvantages of SDHB-IHC
relates to the subjective nature of image interpretation,
we further assessed whether local pathologists from dif-
ferent institutions scored slides differently from investi-
gators experienced in the method (referred to as
experts). An overall goal of the study was to explore
how SDHB-IHC and metabolite profiling might be use-
ful for streamlining diagnostic procedures for patients
and their families suffering from PPGLs due to SDH
impairment. Predicting succinate dehydrogenase mutations in PPGLs 379 machine learning algorithms to metabolite profiles improved predictive ability over that of the SFR, in particular for
hard-to-interpret cases of head and neck paragangliomas (AUC 0.9821 versus 0.9613, p = 0.044). Importantly, the
combination of metabolite profiling with SDHB-IHC has complementary utility, as SDHB-IHC correctly classified all
but one of the false negatives from metabolite profiling strategies, while metabolite profiling correctly classified all
but one of the false negatives/positives from SDHB-IHC. From 186 tumours with confirmed status of SDHx variant
pathogenicity, the combination of the two methods resulted in 185 correct predictions, highlighting the benefits of
both strategies for patient management. © 2020 The Authors The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain
and Ireland. Keywords: mass spectrometry; succinate to fumarate ratio; multi-observer; Krebs cycle metabolites; linear discriminant analysis; LC–MS/MS;
diagnostics; variants of unknown significance; metabolite profiling; prediction models Received 6 December 2019; Revised 28 March 2020; Accepted 16 May 2020
No conflicts of interest were declared. Received 6 December 2019; Revised 28 March 2020; Accepted 16 May 2020 No conflicts of interest were declared. Introduction With advances in gene sequencing techniques and
decreasing costs, genetic testing is becoming more prac-
tical and widely available, but this has also led to new
challenges [5]. Variants of unknown significance, where
the functional impact of the mutation has not been estab-
lished, are increasingly troublesome. Also, even with
advanced genetic testing, some functional variants or
mutations may be missed. This includes intronic variants
and epimutations, as well as mutations in other genes
impacting mitochondrial energy metabolism [6–8]. Such
problems can be addressed by methods assessing the
functionality of involved proteins, thereby allowing
classification of variants with uncertain mutational
status. For gene variants affecting SDH, the routinely
applied method is immunohistochemistry for SDHB
(SDHB-IHC), where staining intensity of tumoural
cells is compared with that of non-tumoural cells as
internal control [9]. Positively stained cells show a
granular pattern, whereas negative tissue at most has
a weak diffuse cytoplasmic blush. Importantly, the
protein is also degraded when subunits other than
SDHB are lost [10]. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org Abstract Phaeochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumours with a hereditary background in
over one-third of patients. Mutations in succinate dehydrogenase (SDH) genes increase the risk for PPGLs and several
other tumours. Mutations in subunit B (SDHB) in particular are a risk factor for metastatic disease, further highlight-
ing the importance of identifying SDHx mutations for patient management. Genetic variants of unknown signifi-
cance, where implications for the patient and family members are unclear, are a problem for interpretation. For
such cases, reliable methods for evaluating protein functionality are required. Immunohistochemistry for SDHB
(SDHB-IHC) is the method of choice but does not assess functionality at the enzymatic level. Liquid chromatogra-
phy–mass spectrometry-based measurements of metabolite precursors and products of enzymatic reactions provide
an alternative method. Here, we compare SDHB-IHC with metabolite profiling in 189 tumours from 187 PPGL
patients. Besides evaluating succinate:fumarate ratios (SFRs), machine learning algorithms were developed to estab-
lish predictive models for interpreting metabolite data. Metabolite profiling showed higher diagnostic specificity
compared to SDHB-IHC (99.2% versus 92.5%, p = 0.021), whereas sensitivity was comparable. Application of © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any
medium, provided the original work is properly cited. Patient cohorts and tumour procurement Patient cohorts and tumour procurement Tumour collections were approved under Intramural
Review Board protocols with informed consent signed
at each participating centre. A total of 397 patients with
401 different tumours were included in this study (sup-
plementary material, Table S1). The present report © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org J Pathol 2020; 251: 378–387
www.thejournalofpathology.com PW Wallace et al 380 builds on our previously reported data on metabolite pro-
files in 391 of these patients [12] by additional compari-
sons to immunohistopathological data and introduction
of machine learning for interpretation of metabolite pro-
files. Tumour material was collected as freshly frozen
(FF)
and/or
formalin-fixed
and
paraffin-embedded
(FFPE) samples. Patients were divided into two separate
cohorts (Table 1 and supplementary material, Figure S1):
cohort 1 with 187 patients and 189 PPGLs included
results for matched metabolite profiling and SDHB-
IHC, whereas for cohort 2 (210 patients with 212
PPGLs) data from metabolite profiles, without availabil-
ity of SDHB-IHC, were included and used for training
the machine learning algorithms. staining; as inconclusive, when both patterns were pre-
sent; or as non-informative, when tissue or staining arte-
facts were observed. For 50 samples, the SDHB-IHC
interpretations were as established previously, from
combined interpretations of seven expert pathologists
[20]; for these cases, results were rated as inconclusive
when fewer than five pathologists agreed. All patholo-
gists were blinded to the genetic status. Interpretation of immunohistochemistry by
experienced pathologists In a subset of cohort 1, termed subcohort 1b (see supple-
mentary material, Figure S1), SDHB-IHC slides from
the local centres were scanned and high-resolution
images were provided to a panel of three experts in
SDHB-IHC. Experts rated the staining according to the
four categories described above. Genetic characteristics Genetic testing, accomplished as previously described
[12], yielded findings of germline or somatic variants
in 18 genes in 49.1% (195/397) of patients (for simplic-
ity, only 11 are displayed in Table 1). Eleven patients
had variants of unknown significance in SDH genes,
classified as variants of unknown significance according
to the standards and guidelines of the American College
of Medical Genetics and Genomics and the Association
for Molecular Pathology [16]. In silico prediction of
mutation significance was performed on variants of
unknown significance using Mutation Taster [17], Poly-
phen [18], and SIFT [19]. Metabolite measurements Seven carboxylic acids of the Krebs cycle (succinate,
fumarate,
malate,
citrate,
isocitrate,
cis-aconitate,
α-ketoglutarate), 2-hydroxyglutarate, pyruvate, and lac-
tate were measured in methanol extracts of FF or FFPE
tissue by LC–MS/MS as detailed in supplementary
material, Supplementary materials and methods and
with resulting data provided in supplementary material,
Table S2. The cut-off for succinate:fumarate-based
interpretation was 97.7, as previously established [11]. Machine learning-assisted interpretation of
metabolite data FFPE tissue was sectioned and stained for SDHB using
rabbit polyclonal anti-SDHB (HPA002868, 1:400 dilu-
tion; Sigma-Aldrich, St Louis, MO, USA) according to
the local procedures of six different centres (Dresden,
Bethesda, Madrid, Florence, Nijmegen, and Rotterdam)
[9]. For 23% of tumours (44 samples), a tissue microar-
ray was constructed with three cores of 1.0 mm per sam-
ple. Local pathologists evaluated SDHB staining in one
slide per tumour and gave the results in four categories:
as positive, for the typical granular staining pattern; as
negative, for completely negative or weak diffuse Tissue metabolite concentrations (ng/mg tissue) were
normalised to natural logarithmic values. These and their
ratios were used for formulating predictive models. To
establish the need for batch corrections (according to
measurement dates), a principal component analysis
was generated with the normalised metabolite values of
SDHx-mutated or SDHx-wild-type patients (supplemen-
tary material, Figure S2). There was a clear distinction
between the groups and none of the 27 different batches
showed any bias towards SDHx-mutated or SDHx-wild
type, allowing formulation of models without the need
for batch correction. Table 1. Diagnostic performance of SDHB-IHC compared to LC-MS/
MS based measurements of succinate:fumarate [SFR] in cohort 1. SDHB-IHC*
SFR
p-value
Sensitivity [%]
85.2 [46/54]
88.1 [52/59]
0.774
Specificity [%]
92.5 [111/120]
99.2 [126/127]
0.021
Accuracy [%]
90.2 [157/174]
95.7 [178/186]
AUC
0.88 [0.82,0.91]
0.96 [0.89,0.98]
0.048
SFR
FP
TN
FN
TP
SDHB-IHC
FP [n = 9]
0
9
–
–
FN [n = 8]
–
–
1
7
inc. [n = 12]
0
7
1
4
*Inconclusive samples (12) not included; inc. = inconclusive IHC results, FP: false
positive; FN: false negative; TP: true positives; TN: true negatives. Sensitivity,
specificity and accuracy are given as percentages with absolute numbers in
brackets. AUC is given as a ratio with CI in brackets. © 2020 The Authors. The Journal of Pathology published by John Wiley & So
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc Table 1. Diagnostic performance of SDHB-IHC compared to LC-MS/
MS based measurements of succinate:fumarate [SFR] in cohort 1. Table 1. Diagnostic performance of SDHB-IHC compared to LC-MS/
MS based measurements of succinate:fumarate [SFR] in cohort 1. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org Machine learning-assisted interpretation of
metabolite data SDHB-IHC*
SFR
p-value
Sensitivity [%]
85.2 [46/54]
88.1 [52/59]
0.774
Specificity [%]
92.5 [111/120]
99.2 [126/127]
0.021
Accuracy [%]
90.2 [157/174]
95.7 [178/186]
AUC
0.88 [0.82,0.91]
0.96 [0.89,0.98]
0.048
SFR
FP
TN
FN
TP
SDHB-IHC
FP [n = 9]
0
9
–
–
FN [n = 8]
–
–
1
7
inc. [n = 12]
0
7
1
4 Feature selection for models was performed using
either logarithmically transformed values or ratios of
all metabolites against each other. The results of genetic
testing were used to separate patients into the categories
SDHx-mutated
or
SDHx-wild
type. The
‘LDA
MATLAB’ function (MATLAB; MathWorks, Natick,
MA, USA) with application of a cross validation was
used to train the algorithm and generate models based
on linear discriminant analysis (LDA) [21]. Patients
from cohort 2 (excluding SDHx variants of unknown
significance and FFPE only tissue) were used to develop
the models and were randomly divided into training and
internal validation sets in ratios ranging from 50/50 to
90/10 in steps of 10%. This randomisation and model
generation was performed ten times and an average SDHB-IHC*
SFR
p-value
Sensitivity [%]
85.2 [46/54]
88.1 [52/59]
0.774
Specificity [%]
92.5 [111/120]
99.2 [126/127]
0.021
Accuracy [%]
90.2 [157/174]
95.7 [178/186]
AUC
0.88 [0.82,0.91]
0.96 [0.89,0.98]
0.048 *Inconclusive samples (12) not included; inc. = inconclusive IHC results, FP: false
positive; FN: false negative; TP: true positives; TN: true negatives. Sensitivity,
specificity and accuracy are given as percentages with absolute numbers in
brackets. AUC is given as a ratio with CI in brackets. *Inconclusive samples (12) not included; inc. = inconclusive IHC results, FP: false
positive; FN: false negative; TP: true positives; TN: true negatives. Sensitivity,
specificity and accuracy are given as percentages with absolute numbers in
brackets. AUC is given as a ratio with CI in brackets. J Pathol 2020; 251: 378–387
www.thejournalofpathology.com Predicting succinate dehydrogenase mutations in PPGLs 381 positives) and missed SDH impairment in eight cases
(false negatives) (Table 1). In 12 tumours, the results
were deemed inconclusive according to heterogeneous
staining patterns or observer disagreements (the latter
applied to five cases with SDHB-IHC results taken from
a previously published study). SFR-based metabolite
profiling correctly predicted all nine false positives and
seven of eight false negatives, and all but one inconclu-
sive case were predicted correctly by the SFR. Machine learning-assisted interpretation of
metabolite data Diagnos-
tic specificity (p = 0.021) and AUC (p = 0.048) were
higher for SFR-based metabolite profiling than for
SDHB-IHC. model was generated. In total, this resulted in five LDA
models for absolute values and five models for metabo-
lite ratios. The predictive models were applied to the
PPGLs of cohort 1 to calculate the likelihood of SDHx
mutations (external validation). Performance scores for
the different models on the training, internal validation,
and external validation sets were calculated (supplemen-
tary material, Figure S3) and the two best models
selected according to performance (supplementary mate-
rial, Figure S4). Selected models are referred to as LDA
A, using absolute values, and LDA B for metabolite
ratios. Since the models were built on values only from
FF tissues, ten samples with metabolite values for FF
and FFPE tissue were used to assess the suitability of
LDA B for PPGLs stored as FFPE tissues. Results Since model generation of LDA B was performed
exclusively on data from freshly frozen (FF) samples,
we determined if the model could be applied to both
FF and FFPE tissues. For this purpose, LDA B was
applied to ten tumours where both FF and FFPE tissues
were
available. LDA
B
correctly
predicted
the © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org Calculation of diagnostic performance Two different methods for machine learning-assisted
interpretation of metabolite profiles were compared with
the SFR (Table 2). Model LDA A uses four metabolites
and is restricted to measurements from frozen tissue,
where weight normalisation is possible. LDA B requires
input of ratios of ten metabolites and is applicable to both
FF and FFPE specimens (supplementary material, Table
S3; supplementary material, Table S4 to produce the
ratios). Both models are provided as supplementary
material, MATLAB File S1 and MATLAB File S2 (for
MATLAB Model LDA A and B, respectively). Based on confusion matrices of genetically determined
versus predicted mutational status for SDHx, diagnostic
performance was assessed from estimates of sensitivity, specificity, accuracy, and precis
sensitivity = TP/(TP + FN),
specificity = TN/(TN + FP), sensitivity = TP/(TP + FN), y
specificity = TN/(TN + FP), specificity = TN/(TN + FP), p
y
(
)
accuracy = (TN + TP)/(TN + TP + FN + FP), y
(
) (
)
precision/positive predictive value = TP/(TP + FP), precision/positive predictive value = TP/(TP + FP), F1-Score = 2 * [(precision * sensitivity)/(precision +
sensitivity)], where TP represents true positives, FN
false negatives, TN true negatives, and FP false
positives. ,
p
y)
Our metabolite profiling-based models (LDA A, LDA
B, and SFR) were applied to 186 tumours (cohort 1). In
the case of LDA B, only 185 tumours of the 186 could be
used because measurement of one metabolite failed in
one tumour. Comparisons of metabolite profiling predic-
tions showed that the performance of LDA A was
improved over that of the SFR (p = 0.044), while there
were no significant differences between LDA B and
SFR or LDA A and LDA B (Figure 1 and Table 3). SFR-based interpretation of metabolite profiles resulted
in seven false negatives, whereas LDA B produced six
and LDA A four false negatives (Table 2). The LDA
models calculate probabilities for the likelihood of an
SDHx mutation based on the metabolite inputs; for the
samples differently rated in LDA A and LDA B, the
probabilities were 57% and 99% for LDA A, and 42%
and 32% for LDA B, respectively (supplementary mate-
rial, Table S5). Statistics Receiver operating characteristics (ROC) curves were pro-
duced using logistic regression. Areas under ROC curves
(AUCs) of the SDHB-IHC, SFR, LDA A, and LDA B
were compared using the Model Comparison tool in
JMP Pro (version 14; SAS, Cary, NC, USA). Logistic
regression models for combinations of SDHB-IHC with
any of the other models were produced in JMP and these
combined models’ AUCs were compared with those from
using only SFR, LDA Model A or LDA Model B. As
there were different numbers of tumours available for the
different models, the AUC comparisons were performed
with all available tumours (186 versus 185 versus 186 ver-
sus 174) and with equal numbers (173 versus 173 versus
173 versus 173). Comparisons of sensitivity and specific-
ity between different predictive methods in the same
patient group utilised McNemar’s test for matched pairs
data, while comparisons of predictive methods in different
patient groups utilised Fisher’s exact test. Differences
were considered significant for P values below 0.05. It should also be noted that of the eight tumours where
SFR had an erroneous prediction, six were head and
neck paragangliomas with all seven false negatives car-
rying an SDHB, SDHC or SDHD mutation. When
LDA A and LDA B were applied to these samples,
LDA A correctly predicted three of the head and neck
paragangliomas, while LDA B correctly predicted two
of them (supplementary material, Table S5). Machine learning-assisted interpretation of
metabolite profiling Calculation of diagnostic performance Diagnostic performance of SDHB-IHC and
metabolite profiling by SFR In turn, SDHB-IHC correctly identified all but one of
the false-negative cases from metabolite profiling (sup-
plementary material, Table S5). With the available num-
ber of samples, statistical significance was not reached
(Table 3). As it was observed that paragangliomas of the head
and neck region were classified more often as false neg-
atives with metabolite profiling, we compared the diag-
nostic
sensitivity
and
specificity
between
phaeochromocytomas, paragangliomas of the thorax or
abdomen, and head and neck paragangliomas (Table 4). Although statistical significance was not reached, it was
apparent that the sensitivity was lowest for head and
neck paragangliomas with all four methods, SDHB-
IHC, SFR, LDA A, and LDA B. Specificity, on the other
hand, showed no regional bias with metabolite-based
methods, but was slightly lower for all paragangliomas
compared
with
phaeochromocytomas
using
SDHB-IHC. mutational status of all ten FFPE and nine of ten FF tis-
sues (supplementary material, Figure S5). Combining metabolite profiling and SDHB-IHC for
best possible predictions on SDHx mutational status
We observed a trend towards improved predictions
when SDHB-IHC results were combined with the results
from metabolite profiling compared with the latter alone,
supporting complementary utility of SDHB-IHC and
LC–MS/MS approaches (Figure 1). Metabolite profiling
complemented SDHB-IHC by correctly predicting the
SDHx mutational status of all but one case where Combining metabolite profiling and SDHB-IHC for
best possible predictions on SDHx mutational status SDHB-IHC interpretations by local pathologists and a
panel of experienced experts To address the question of whether expertise in SDHB-
IHC influences the interpretation of SDHB-IHC results,
we utilised a subset of samples in which interpretations Figure 1. ROC curve comparisons for SDHB-IHC, metabolite profiling, and their combination. (A) ROC curves of SFR, SDHB-IHC, and their
combination. (B) ROC curves of LDA A, SDHB-IHC, and their combination. (C) ROC curves of LDA B, SDHB-IHC, and their combination. Figure 1. ROC curve comparisons for SDHB-IHC, metabolite profiling, and their combination. (A) ROC curves of SFR, SDHB-IHC, and their
combination. (B) ROC curves of LDA A, SDHB-IHC, and their combination. (C) ROC curves of LDA B, SDHB-IHC, and their combination. Table 4. Comparison of predictive methods in the different subcategories of tumours. Diagnostic performance of SDHB-IHC and
metabolite profiling by SFR Among a total of 186 PPGLs (cohort 1 excluding three
variants of unknown significance), SDHB-IHC incor-
rectly predicted the SDH status in nine cases (false J Pathol 2020; 251: 378–387
www.thejournalofpathology.com J Pathol 2020; 251: 378–387
www.thejournalofpathology.com J Pathol 2020; 251: 378–387
www.thejournalofpathology.com 382 PW Wallace et al Table 2. Comparison of different predictive models for SDHx impairment based on metabolite profiling. LDA-Model A
LDA-Model B
SFR
Model Parameters
Tissue amount normalized values (ng/mg) of:
Ratios of Metabolites:
Ratios of metabolites:
• Succinate
• Succinate
• Succinate
• Citrate
• Fumarate
• Fumarate
• Malate
• Citrate
• Pyruvate
• Malate
• Pyruvate
• Cis-aconitate
• Isocitrate
• Lactate
• 2-hydroxyglutarate
• α-ketoglutarate
Tissue Type
FF
FF + FFPE
FF + FFPE
Confusion Matrix
Predicted
Predicted
Predicted
n=186
NO
YES
n=185
NO
YES
n=186
NO
YES
Actual
NO
126
1
Actual
NO
126
1
Actual
NO
126
1
YES
4
55
YES
6
52
YES
7
52
Diagnostic Performance
p-value
p-value
p-value
Sensitivity
93.2%
0.344
Sensitivity
89.7%
0.774
Sensitivity
88.1%
0.774
Specificity
99.2%
0.022
Specificity
99.2%
0.021
Specificity
99.2%
0.021
Accuracy
97.3%
Accuracy
96.2%
Accuracy
95.7%
AUC
0.982
0.004
AUC
0.977
0.012
AUC
0.961
0.048
SDHB-IHC
SDHB-IHC
SDHB-IHC
FP
TN
FN
TP
inc
FP
TN
FN
TP
inc
FP
TN
FN
TP
inc
FP(1)
0
1
–
–
0
FP(1)
0
1
–
–
0
FP(1)
0
1
–
–
0
FN(4)
–
–
1
3
0
FN(6)
–
–
1
5
0
FN(7)
–
–
1
5
1
FP: false positive; TN: True Negative; FN: False Negative; TP: True Positive; inc: inconclusive results in IHC. Journal of Pathology published by John Wiley & Sons Ltd
ociety of Great Britain and Ireland. www.pathsoc.org
www © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org Predicting succinate dehydrogenase mutations in PPGLs 383 Table 3. Statistical comparisons of AUC differences. Predictor
versus Predictor
AUC Difference
p-value*
IHC
SFR
−0.070
0.048
IHC
LDA A
−0.092
0.004
IHC
LDA B
−0.086
0.012
SFR
LDA A
−0.023
0.044
SFR
LDA B
−0.016
0.533
LDA A
LDA B
0.006
0.775
SFR
SFR + IHC
−0.031
0.113
LDA B
LDA B + IHC
−0.021
0.235
LDA A
LDA A +IHC
−0.014
0.301
*p<0.05 considered significant. SDHB-IHC incorrectly predicted the mutational status. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org Discussion from local pathologists were compared with those of
experts (see supplementary material, Figure S1). Accu-
racy of predictions of SDHx mutations according to
SDHB-IHC indicated no significant differences between
local pathologists and experts, suggesting that SDHB-
IHC does not require specialised training (Table 5). In
71% of cases, all pathologists agreed and when at least
two experts on the panel agreed on the prediction (100
of 105 cases), they in turn agreed with the local patholo-
gist in 83 of these cases (79%) (supplementary material,
Figure S6). Agreement was higher in non-SDHx cases
(86%) than in SDHx-mutated cases (70%) (Table 5). This study establishes for the first time that SDHB-IHC
and metabolite profiling provide complementary diag-
nostic tools for the prediction of SDH impairment in
PPGL tumour tissue. Moreover, we show that diagnostic
performance of metabolite profiling can be improved by
machine learning-assisted interpretation of metabolite
data and that there is a trend towards further improve-
ment by inclusion of findings from SDHB-IHC. We
therefore propose an approach that combines metabolite
profiling and SDHB-IHC to better facilitate identifying
or excluding SDH impairment when tumour material is
available, particularly for selected patients in whom
there is a suspicion of the presence of SDH mutation
and where genetic testing yields equivocal or negative
results or is unavailable. First, the high specificity of
metabolite profiling (99%) translates to high positive
predictive value of a positive result, strongly indicating
a mutation in an SDHx gene. If the genetic change iden-
tified is a variant of unknown significance, the predictive
models will, together with in silico prediction tools, aid
in determining whether the variant is pathogenic and
whether the patient and affected family members require
life-long surveillance. If metabolite profiling predicts no
SDH impairment, then SDHB-IHC provides utility to
exclude false negatives by metabolite profiling. Apply-
ing this approach to cohort 1 (excluding three variants
of unknown significance), we would have correctly pre-
dicted impairments of SDH in 185 of the 186 PPGLs,
providing an advantage over either method alone. Amongst the samples with full agreement between all
pathologists, there were six cases (out of 75) with incor-
rect predictions. These six cases comprised five head and
neck paragangliomas with SDHx mutations and one
adrenal PPGL without an SDHx mutation, indicating
again that head and neck paragangliomas are the most
challenging specimens to interpret (supplementary
material, Table S5). Diagnostic performance of SDHB-IHC and
metabolite profiling by SFR PHEO
PGL
HNP
HNP versus (PHEO + PGL)
n = 112
n = 30
n = 44
p-value*
IHC
Sensitivity (%)
88.8 [8/9]
90.9 [20/22]
78.3 [18/23]
0.264
Specificity (%)
93.8 [91/97]
87.5 [7/8]
86.7 [13/15]
0.313
inconclusive (n)
6
0
6
SFR
Sensitivity (%)
100 [9/9]
95.5 [21/22]
78.6 [22/28]
0.130
Specificity (%)
99 [102/103]
100 [8/8]
100 [16/16]
1.000
LDA A
Sensitivity (%)
100 [9/9]
95.5 [21/22]
89.3 [25/28]
0.337
Specificity (%)
99 [102/103]
100 [8/8]
100 [16/16]
1.000
LDA B
Sensitivity (%)
100 [8/8]
95.5 [21/22]
82.1 [23/28]
0.097
Specificity (%)
99 [102/103]
100 [8/8]
100 [16/16]
1.000
*calculated using Fisher’s exact test. HNP = Head and neck paraganglioma, PGL = paraganglioma, PHEO = Phaeochromocytomas. Table 4. Comparison of predictive methods in the different subcategories of tumours. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org
J Pathol 2020; 251: 378–387
www.thejournalofpathology.com PW Wallace et al 384 Table 5. SDHB-IHC interpretations of a panel of experienced
researchers versus local pathologists in cohort 1b. IHC was available, but did not support the metabolite-
based interpretations. LDA Model B predicted SDH
impairment in two further PPGLs, a splice site variant
in SDHA (NM_004168.3:c.457-1G>A) and an indel var-
iant in SDHC (NM_003001.3:c.256_257insTTT, p. (Gly86delinsValCys). For the former, the same variant
was found in a second unrelated patient, where SDHB-
IHC showed negative staining, supporting the classifica-
tion as ‘likely pathogenic’. The missense variant of
SDHA, NM_004168.3:c.1772C>T, p.(Ala591Val), was
predicted to have no functional impact based on metab-
olite profiling and SDHB-IHC as interpreted by a local
pathologist. Experts, however, all agreed on a negative
staining pattern for SDHB. Two out of three in silico
protein prediction tools rated the variant as ‘disease
causing’ or ‘possibly damaging’. researchers versus local pathologists in cohort 1b. Local
Panel#
p-value
Sensitivity [%]
80.0 [16/20]
65.0 [13/20]
0.250
Specificity [%]
92.4 [61/66]
98.5 [65/66]
0.125
Accuracy [%]
89.5 [77/86]
90.7 [78/86]
# Inconclusive/non-
informative cases *
9
11
Agreement
amongst panel
Agreement of panel [>2/3]
with local interpretations
3
2
0
non-SDHx (n = 73)
62
9
2
63 [86.3%]
SDHx (n = 30)
21
6
3
19 [70.0%]
SDHx VUS (n = 2)
2
0
0
1 [50.0%]
Total (n = 105)
85
15
5
83 [79.0%]
*Inconclusive cases were removed from the analysis. Diagnostic performance of SDHB-IHC and
metabolite profiling by SFR #For the panel of experienced researchers, interpretations where at least two out
of three researchers agreed, were used. VUS, Variant of Unknown Significance. Discussion Local pathologists rated nine slides
as inconclusive, whereas experts rated five slides as
inconclusive and six as non-informative. Only one
inconclusive case overlapped between the two groups,
indicating some variable subjectivity of interpretations. Non-informative cases arose due to technical problems
with scanned images or staining of slides, such as related
to uneven staining or high background (example images
in supplementary material, Figure S7). © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org J Pathol 2020; 251: 378–387
www.thejournalofpathology.com Re-evaluation of variants of unknown significance
in SDHx SDHB-IHC requires a simple setup and can be easily
incorporated into pathology workflows. Since our pre-
liminary evidence suggests that interpretation does not
require expert review, the technique is readily adoptable
anywhere. LC–MS/MS, on the other hand, requires spe-
cialised instrumentation and expertise, but is becoming
more and more available in clinical laboratories where
the instruments are used for many routine diagnostic
tests. While SDHB-IHC assesses presence of the pro-
tein, LC–MS/MS-based metabolite profiling provides Amongst the tumours evaluated, there were 11 patients
(three in cohort 1 and eight in cohort 2) with a variant
of unknown significance in one of the SDHx genes. Both
LDA models and the SFR were applied to the metabolite
profiles and compared with in silico predictions for pro-
tein changes (supplementary material, Table S6). Both
LDA models agreed in all four cases where the SFR pre-
dicted SDH impairment. In two of these cases, SDHB- Predicting succinate dehydrogenase mutations in PPGLs 385 information about functionality of the succinate complex
through measurements of precursor and product metabo-
lites. There is also the added benefit of measuring a panel
of metabolites to identify impaired function of other
enzymes, such as fumarate hydratase and isocitrate
dehydrogenase [12,22]. Metabolite measurements also
address some of the limitations of SDHB-IHC: in partic-
ular, there is no subjective bias of interpretation and
there is always a numerical result rather than inconclu-
sive interpretations. straightforward since it only requires tissue concentra-
tions of measured metabolites or ratios of metabolites
(to calculate the matrices needed for input of this data into
the LDA models, see supplementary material, Table S4). Results are provided as per cent probabilities of the
tumour harbouring an SDHx mutation. The interpretation
of ten metabolites is thereby converted into a simplified
single output variable to guide clinical decision-making. With ongoing data collection for PPGLs and other
tumour entities, machine learning-assisted data interpre-
tation can be used to further stratify patients according to
mutational background or other clinically relevant fea-
tures as new models can be generated as more data
become available. This approach was also suggested in
the context of steroid metabolomics for the diagnosis
of adrenal cortical tumours [28]. On the other hand, there are limitations of metabolite
profiling. Generating cut-offs or machine learning
models requires large numbers of samples and whether
such data are transferrable among laboratories (i.e. method harmonisation) using LC–MS/MS is not yet
established. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org Re-evaluation of variants of unknown significance
in SDHx Our study also highlights the
benefit of interdisciplinary connections between physi-
cians, pathologists, clinical chemists, geneticists, and data
scientists. By working together, advanced genotypic strat-
ification of PPGLs can be expected to better facilitate tar-
geted therapies with increased efficacy and improved
patient outcomes [30–33]. Limitations of the present study are that SDHB-IHC data
were not available for all patients and that immunohisto-
chemistry was performed in different centres to varying
standards and quality. The latter may partly explain the
lower level of agreement among pathologists for interpret-
ing SDHB-IHC than found in a previous study [20]. Despite thislimitation,diagnostic sensitivity andspecificity
for SDHB-IHC were in the range of former reports [9,20]. Although machine learning was only applied to metab-
olite data and not to images from SDHB-IHC, we could
show that there is potential for this approach to improve
diagnostic and prognostic workflows, especially when
data complexity is high. Our study also highlights the
benefit of interdisciplinary connections between physi-
cians, pathologists, clinical chemists, geneticists, and data
scientists. By working together, advanced genotypic strat-
ification of PPGLs can be expected to better facilitate tar-
geted therapies with increased efficacy and improved
patient outcomes [30–33]. In this study, we used pattern recognition and multidi-
mensional strategies from the field of artificial intelli-
gence for analysing metabolite data to gain information
beyond simple ratios such as the SFR. In this way,
machine learning offered improved diagnostic sensitiv-
ity. This was especially useful for identifying functional
impairment of SDH in head and neck paragangliomas,
for which false negatives can be a problem when relying
on the SFR [11]. We advise that the tumour content of
the input material for head and neck paragangliomas be
evaluated carefully and that further available methods
to test protein status, such as immunohistochemistry
for SDHB, SDHA or SDHD, be used [9,26,27]. Re-evaluation of variants of unknown significance
in SDHx Another limitation of metabolite profiling
is tissue selection. False negatives can occur due to
excessive amounts of non-tumour tissue in the sample. We suspect that this is also the reason for different pre-
dictions (probabilities for SDH impairment) produced
by LDA A and LDA B, since depending on the type of
stromal contaminant, metabolite levels will differ. One
possible solution, requiring interdisciplinary connec-
tions between anatomic and chemical diagnostic labora-
tories, is to assess tumour content first by haematoxylin
and eosin staining, perform macro-dissection of tumour
areas, and use this material for metabolite extraction. A challenge of next-generation panel sequencing in
genetic testing is the interpretation of variants of unknown
significance. In our combined cohorts, a total of 11 vari-
ants of unknown significance in SDHx genes were identi-
fied. From those, four had elevated SFR indicating loss of
functionality; however, in silico predictions and SDHB-
IHC showed varying agreement. Such discrepancies
between SDHB-IHC and in silico predictions were
reported previously [29]. In two more tumours, where
SFR failed to indicate SDH impairment, the new machine
learning-based LDA B predicted loss of SDH functional-
ity. At least in one of these cases, SDHA NM_004168.3:
c.457-1G>A, evidence suggests a true mutation. Inter-observer variability of SDHB-IHC interpreta-
tions could be addressed by applying deep learning to
establish a pipeline for automated image interpretation,
as has been done for immunohistochemistry directed to
other purposes [14,23]. Machine learning was also dem-
onstrated to be suitable for cancer diagnosis on whole-
slide images [24]. Nevertheless, not only histology but
also biomarker interpretation and analysis of omics data
(transcriptomics, proteomics, and metabolomics) can
benefit from machine learning approaches [15]. A recent
example is the identification of PPGL-specific long
intergenic noncoding RNAs and their use for molecular
subtyping of PPGL patients [25]. Limitations of the present study are that SDHB-IHC data
were not available for all patients and that immunohisto-
chemistry was performed in different centres to varying
standards and quality. The latter may partly explain the
lower level of agreement among pathologists for interpret-
ing SDHB-IHC than found in a previous study [20]. Despite thislimitation,diagnostic sensitivity andspecificity
for SDHB-IHC were in the range of former reports [9,20]. Although machine learning was only applied to metab-
olite data and not to images from SDHB-IHC, we could
show that there is potential for this approach to improve
diagnostic and prognostic workflows, especially when
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try: a new tool to validate SDHx mutations in pheochromocytoma/par-
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Program of the NIH, NICHD. Paradifference Foundation, and the Intramural Research
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cision medicine. OMICS 2018; 22: 630–636. Author contributions statement CC, YP, EC, EK, ER, MUM, and SB carried out experi-
ments. SB, AT, RRK, EK, ZZ, and AJG interpreted IHC
slides. KP, FB, MR, MAM, MK, VG, HJLMT, and DA
provided specimens. MP, GE, PWW, SR, KB, MR, SB,
DA, and GE analysed and interpreted data and performed
statistical analysis. SR, TP, GE, PWW, and JP designed
and conceived the experiments. SR, GE, PWW, and CC
drafted the manuscript. All the authors were involved in
writing the paper and approved the final version. 16. Richards S, Aziz N, Bale S, et al. Standards and guidelines for the
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W452–W457. Acknowledgements This study was funded by the Deutsche Forschungsge-
meinschaft (DFG, German Research Foundation) Pro-
jektnummer: 314061271 – TRR 205; RI 2684/1-1; KL
2541/2-1, the AES PI17/01796, co-financed by Fondo
Europeo de Desarrollo Regional (FEDER), the Euro-
pean Union Seventh Framework Programme (FP7/
2007-2013) under grant agreement No 259735, the While the predictive models generated in this study
were targeted towards identifying SDHx mutations, other
models could be generated based on measurements of
metabolites in the same panel to predict mutations and
functional deficiencies impacting other enzymes. Appli-
cation of the generated models (supplied as supplemen-
tary material, MATLAB Files S1 and S2) is relatively J Pathol 2020; 251: 378–387
www.thejournalofpathology.com © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
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ratio for assessing SDH dysfunction in different tumor types. Mol
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one synthesis for SDHB-mutated pheochromocytoma and paragan-
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www.thejournalofpathology.com J Pathol 2020; 251: 378–387
www.thejournalofpathology.com Predicting succinate dehydrogenase mutations in PPGLs 387 SUPPLEMENTARY MATERIAL ONLINE
Supplementary materials and methods
Figure S1. Flow diagram of patient and tumour sample numbers used in this study
Figure S2. J Pathol 2020; 251: 378–387
www.thejournalofpathology.com © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org References PCA plot of all tumours showing grouping of SDHx mutations (black triangles) and SDHx wild types (open circles) based on the normalised
values of all ten measured metabolites
Figure S3. Performance of the models generated based on different ratios of how to separate cohort 2 into learning set and validation set
Figure S4. Performance of the two chosen models LDA A and LDA B
Figure S5. Comparison of predictions generated with LDA Model B from FFPE and FF tissue extracted metabolites
Figure S6. Distribution of true negatives (TN), true positives (TP), false positives (FP), and false negatives (FN) in cases of agreement between the panel
of researchers and local pathologists
Figure S7. Example images for SDHB-IHC scored by local pathologists and experts in the field of SDHB-IHC
Table S1. Characterisation of patient/tumour cohorts
Table S2. Tumour identifiers, clinical data, IHC results, and metabolite concentrations
Table S3. Input ratios for LDA model B in the order they need to be supplied in MATLAB
Table S4. Excel file to produce matrices for use in LDA models
Table S5. Results of all predictive methods where the tumour is misclassified by at least one of the methods
Table S6. Interpretation of metabolite profiles for SDHx VUS based on predictive models generated with linear discriminant analysis (LDA)
Table S7. Concentrations of pre-calibrators Pre-Cal 1–8
Table S8. Concentrations of internal standards in the Internal Standard Mix (IS-Mix)
Table S9. Concentrations of calibrators Cal 0–8
Table S10. Assay precision estimated using two quality control (QC) samples
Table S11. Multiple reaction monitoring transitions, fragmentation parameters,m and quantifiers
MATLAB File S1. Matlab_Model_LDA_A.mat – a MATLAB model for use with absolute metabolite concentrations
MATLAB File S2. Matlab_Model_LDA_B.mat – a MATLAB model for use with relative metabolite concentrations
Predicting succinate dehydrogenase mutations in PPGLs
387 SUPPLEMENTARY MATERIAL ONLINE © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd
on behalf of Pathological Society of Great Britain and Ireland. www.pathsoc.org
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English
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The Hemodynamically-Regulated Vascular Microenvironment Promotes Migration of the Steroidogenic Tissue during Its Interaction with Chromaffin Cells in the Zebrafish Embryo
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PloS one
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cc-by
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Abstract 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: 2014 Chou et al. This is an open-access article distributed under the terms of the Creative Commons Attributi
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its
Supporting Information files. nding: CWC, YLZ, ZYJ, and YWL were supported by Ministry of Science and Technology (http://web1.most.gov.tw/) grants (101-2313-B
9-002-MY3 and 102-2321-B-400-018). The funder had no role in study design, data collection and analysis, decision to publish, or prepara and YWL were supported by Ministry of Science and Technology (http://web1.most.gov.tw/) grants (101-2313-B-029-001, 102-2628-B-
21-B-400-018). The funder 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. * Email: dlslys@thu.edu.tw Chih-Wei Chou, You-Lin Zhuo, Zhe-Yu Jiang, Yi-Wen Liu* Chih-Wei Chou, You-Lin Zhuo, Zhe-Yu Jiang, Yi-Wen Liu* Department of Life Science, Tunghai University, Taichung, Taiwan Department of Life Science, Tunghai University, Taichung, Taiwan Department of Life Science, Tunghai University, Taichung, Taiwan Abstract Background: While the endothelium-organ interaction is critical for regulating cellular behaviors during development and
disease, the role of blood flow in these processes is only partially understood. The dorsal aorta performs paracrine functions
for the timely migration and differentiation of the sympatho-adrenal system. However, it is unclear how the adrenal cortex
and medulla achieve and maintain specific integration and whether hemodynamic forces play a role. Methodology and Principal Findings: In this study, the possible modulation of steroidogenic and chromaffin cell
integration by blood flow was investigated in the teleostean counterpart of the adrenal gland, the interrenal gland, in the
zebrafish (Danio rerio). Steroidogenic tissue migration and angiogenesis were suppressed by genetic or pharmacologic
inhibition of blood flow, and enhanced by acceleration of blood flow upon norepinephrine treatment. Repressed
steroidogenic tissue migration and angiogenesis due to flow deficiency were recoverable following restoration of flow. The
regulation of interrenal morphogenesis by blood flow was found to be mediated through the vascular microenvironment
and the Fibronectin-phosphorylated Focal Adhesion Kinase (Fn-pFak) signaling. Moreover, the knockdown of kru¨ppel-like
factor 2a (klf2a) or matrix metalloproteinase 2 (mmp2), two genes regulated by the hemodynamic force, phenocopied the
defects in migration, angiogenesis, the vascular microenvironment, and pFak signaling of the steroidogenic tissue observed
in flow-deficient embryos, indicating a direct requirement of mechanotransduction in these processes. Interestingly,
epithelial-type steroidogenic cells assumed a mesenchymal-like character and downregulated b-Catenin at cell-cell
junctions during interaction with chromaffin cells, which was reversed by inhibiting blood flow or Fn-pFak signaling. Blood
flow obstruction also affected the migration of chromaffin cells, but not through mechanosensitive or Fn-pFak dependent
mechanisms. Conclusions and Significance: These results demonstrate that hemodynamically regulated Fn-pFak signaling promotes the
migration of steroidogenic cells, ensuring their interaction with chromaffin cells along both sides of the midline during
interrenal gland development. Citation: Chou C-W, Zhuo Y-L, Jiang Z-Y, Liu Y-W (2014) The Hemodynamically-Regulated Vascular Microenvironment Promotes Migration of the Steroidogenic
Tissue during Its Interaction with Chromaffin Cells in the Zebrafish Embryo. PLoS ONE 9(9): e107997. doi:10.1371/journal.pone.0107997 Editor: Sheng-Ping Lucinda Hwang, Institute of Cellular and Organismic Biology, Taiwan Editor: Sheng-Ping Lucinda Hwang, Institute of Cellular and Organismic Biology, Taiwan Received April 10, 2014; Accepted August 24, 2014; Published September 23, 2014 Copyright: 2014 Chou et al. September 2014 | Volume 9 | Issue 9 | e107997 Introduction However, the existence
of shared paracrine factors does not explain why chromaffin cells
colonize the adrenal cortex rather than non-adrenal regions
surrounding the DA, and additional molecular and cellular factors
could participate in the integration of steroidogenic and chromaf-
fin cells. It was hypothesized that in addition to instructing the
migration and differentiation of chromaffin cells, the vasculature
near the adrenal gland also specifies the behavior of adrenocortical
cells, thereby promoting cortex-medulla amalgamation. This
possibility was investigated in the present study in zebrafish, an
established model for exploring the development and diseases of
the cardiovascular and endocrine systems. through the endothelium to influence closely associated interrenal
cells. In this study, the possible role of blood flow for the integration
of steroidogenic and chromaffin cells was examined in the
zebrafish interrenal gland, by using genetic and pharmacological
approaches to abolish blood flow in the embryo. The vascular
structure and associated ECM microenvironment in the interrenal
region were examined for changes in the architecture of the
developing
interrenal
tissue. The
modulation
of
interrenal
morphogenesis by blood flow through mechanotransduction was
investigated by knocking down the mechanosensitive proteins
Kru¨ppel-like factor 2a (Klf2a) and Matrix metalloproteinase
(Mmp)2. In addition, we demonstrated that steroidogenic cells
undergo
an
epithelial-to-mesenchymal
transition
(EMT)-like
change during organ assembly, which was correlated with a
reduction in epithelial and a rise in mesenchymal markers. During
EMT, which occurs at many critical steps during embryonic
development, cell-cell contacts and polarity are lost and the
cytoskeleton is extensively remodeled [35]. The present findings
underscore the role of hemodynamics in regulating Fn-phosphor-
ylated Focal adhesion kinase (pFak) signaling in the developing
interrenal tissue, which in turn induces an EMT-like transforma-
tion in steroidogenic cells. Thus, in addition to the known
chemoattractive function for chromaffin cells, the axial vasculature
regulates the migration of steroidogenic cells through hemody-
namically regulated signaling. The teleostean interrenal gland is functionally equivalent to the
adrenal gland in mammals, with steroidogenic and chromaffin cell
populations
arising
from
conserved
molecular
programs
[16,17,18]. The integration of these two cell types occurs between
1.5 and 3 days post-fertilization (dpf), which is immediately
followed by de novo cortisol synthesis in response to stress
[18,19,20]. Within the same temporal window, the interrenal
vessel (IRV) is patterned along with a vessel-derived, Fibronectin
(Fn)-enriched microenvironment [21], which is essential for IRV
growth, steroidogenic tissue morphogenesis, and positioning the
interrenal organ. Introduction the crucial role of hemodynamics in the morphogenesis of heart,
kidney, and brain vasculature [3,4,5,6]. Moreover, it is possible to
study the role of hemodynamics in establishing the architecture of
endocrine tissues in the zebrafish embryo, since the specification
and differentiation of a variety of endocrine cells proceed even in
the complete absence of vasculature [7,8,9,10,11]. Although blood vessels have long been known to respond to
hemodynamic forces through mechanotransduction, only recently
have researchers begun to understand the influence of hemody-
namics on organogenesis through modulation of cellular behav-
iors, the extracellular matrix (ECM) microenvironment, as well as
cell signaling events [1]. The early zebrafish embryo does not rely
on blood circulation to transport oxygen [2], making it an
excellent in vivo model for studying the effect of blood flow on
development. Various genetic and pharmacological approaches
have been developed in the zebrafish model, which have revealed How the adrenal cortex and medulla—arising because of
distinct cell fate decisions in physically separated precursor cells—
assemble to form the adrenal gland remains incompletely
understood. The adrenal cortex is comprised of steroidogenic
cells differentiated from the intermediate mesoderm, while the
medulla contains chromaffin cells that originate from the neural September 2014 | Volume 9 | Issue 9 | e107997 September 2014 | Volume 9 | Issue 9 | e107997 PLOS ONE | www.plosone.org 1 Hemodynamic Regulation of Interrenal Gland Assembly crest and are subsequently segregated from the sympatho-adrenal
lineage [12]. Mice deficient in the transcription factor steroido-
genic factor-1 (SF-1, NR5A1) lack an adrenal cortex, but exhibit
normal differentiation of chromaffin cells, half of which are
present in the suprarenal region, arguing against a role for the
adrenal cortex in attracting chromaffin cells [13]. However,
ectopic adrenocortical cells in the mouse thorax, induced through
the transgenic overexpression of SF-1, are capable of recruiting
sympatho-adrenal progenitors [14]. These findings suggestive of
an undefined role of the adrenal cortex have been clarified by the
recent demonstration of the dorsal aorta (DA) as a morphogenetic
center that instructs the specification and segregation of the
sympatho-adrenal lineage in the chick embryo [15]. The DA and
the adrenal cortex both secrete Neuregulin 1, which attracts
chromaffin cells to the suprarenal region. Zebrafish Husbandry Zebrafish (Danio rerio) were reared according to standard
protocols [36]. Embryos were obtained from natural crosses of
wild-type or transgenic fish, and staged as previously described
[37]. The following lines were used: Tg(wt1b: GFP)(line 1) [38]
(a gift from Christoph Englert, Fritz-Lipmann Institute, Jena,
Germany); Tg(ff1bEx2: GFP) [39] (a gift from Dr. Woon-Khiong
Chan, National University of Singapore); and Tg(kdrl: EGFP)s843
[40] (a gift of Didier Stainier, University of California, San
Francisco, CA, USA). Previous studies have shown that Klf2a and MMP2 are
hemodynamically regulated: KLF2 is a transcription factor
activated in cultured endothelial cells by fluid shear stress from
laminar flow [22,23], and the endothelial expression of mouse
Klf2 and its ortholog klf2a in zebrafish reflects an increase in fluid-
generated forces, while a loss of function leads to defective smooth
muscle tone [24]. MMPs are known to mediate ECM remodeling
and enable reshaping of tissues through peptidase activity [25]. In
the zebrafish embryo, mmp2 is expressed in the endothelium of
developing axial vasculature in a flow-dependent manner [5]; and
in rats and cultured cells, MMP2 activity in glomerular mesangial
cells is induced by stretch [26,27] and regulated by cyclic strains in
the endothelium resulting from turbulent flow, which modulates
the migration of vascular smooth muscle cells [28,29]. Moreover,
MMP2 cleaves a variety of ECM molecules, including type IV
collagen, vitronectin, and fibronectin [30,31]. Abundant RNA
transcripts of both klf2a and mmp2 are restrictively localized at the
axial vasculature at around Prim-25 stage (36 hpf) during zebrafish
development [5,32], which is temporally correlated with the
initiation
of
interrenal
medial
extension
and
angiogenesis. Furthermore, the nascent DA in the zebrafish does not recruit
mural cells until 3 dpf [33], and differentiated vascular smooth
muscle cells appear only after 7 dpf [34]; it was therefore
hypothesized that hemodynamic forces could be transduced Introduction Nevertheless, little is known about how the Fn-
enriched interrenal microenvironment is regulated and the cellular
mechanisms governing morphogenetic movements during inte-
gration. Ethics Statement All of the zebrafish-use protocols in this research were reviewed
and approved by the Institutional Animal Care and Use
Committee of Tunghai University (IRB Approval NO. 101–12). September 2014 | Volume 9 | Issue 9 | e107997 Blood Flow is Required for the Morphogenesis of Kidney
Glomerulus and Interrenal Tissue For
IHC
experiments,
Tg(ff1bEx2:
GFP)
and
Tg(kdrl:
EGFP)s843 embryos were fixed and embedded in 4% NuSieve
GTG low-melting agarose (Lonza), cut into 100- mm sections with
a VT1000M vibratome (Leica), and permeabilized with phos-
phate-buffered saline (PBS) containing 1% Triton X-100 before
incubation with rabbit anti-human Fn (Sigma), mouse anti-human
pFak (pY397) (BD Transduction Laboratories), mouse anti-
chicken
b-Catenin
(Sigma),
mouse
anti-pig
Vimentin
(V9)
(Abcam), and rabbit anti-zebrafish E-cadherin (Cdh1) (GeneTex)
antibodies at 1:200, 1:100, 1:50, 1:200 and 1:200 dilutions,
respectively. Dylight 594- and 650-conjugated anti-rabbit or anti-
mouse IgG (abcam) were used as secondary antibodies at 1:200
dilution. Images were captured with an LSM510 confocal
microscope with version 3.5 software (Zeiss). The hemodynamic force drives the assembly of zebrafish kidney
glomeruli at the midline [5]. Since the kidney and interrenal gland
develop in parallel [16], with the DA acting as the source of
angiogenesis in both organs [21,47], the role of blood flow in the
morphogenesis of the interrenal gland was assessed. Kidney and
interrenal tissue morphology was visualized by staining for 3b-Hsd
enzymatic activity in Tg(wt1b: GFP) embryos, in which GFP is
expressed in the glomerular podocytes, pronephric tubules, and
proximal pronephric ducts [38,48], as well as in the exocrine
pancreas due to a possible position effect of transgene insertion. The MO against tnnt2a, a gene essential for sarcomere assembly
and heart contractility [42], was injected into Tg(wt1b: GFP)
embryos, and 100% of the tnnt2a morphants (n = 56) displayed
completely abolished heartbeat and blood flow. Consistent with
the previous study [5], bilateral kidney glomeruli in control
embryos assembled at the midline by 54 hpf, but failed to fuse in
tnnt2a morphants (Figure 1A). The steroidogenic tissue in blood
flow-deficient embryos grew as a round, tightly packed cell
aggregate, without extending protrusions as in the case of controls. The extent of migration was quantified by measuring the distance
between the tip of medially extending steroidogenic tissue and the
midline, and although there was no difference at 54 hpf, the
distance was decreased in morphants relative to control embryos
at 77 hpf (Figure 1B). The inhibition of medial extension was not
due to growth arrest of interrenal tissue, since organ size—as
assessed by densitometric analysis of 3b-Hsd activity staining—was
similar in tnnt2aMO-injected and control embryos at all stages
examined (Figure 1C). Medial Extension of Steroidogenic Tissue during
Interrenal Organ Assembly is Regulated by Blood Interrenal Organ Assembly is Regulated by Blood Flow
The pharmacological agent 2,3-BDM, which affects heart rate
without affecting cell viability, has previously been used to evaluate
the role of blood flow in zebrafish organogenesis [5,6,51]. To rule
out the possibility that defective medial extension of the interrenal
tissue in tnnt2a morphants was due to an early effect on blood
vessel morphogenesis, blood flow was inhibited in embryos by
application of 2,3-BDM from 1.5 dpf, by which interrenal medial
extension and organ assembly are initiated (Figure 2). The 2,3-
BDM
treatment
on
zebrafish
embryos
leads
to
decreased
myofibrillar ATPase and myocardial force in a dose-dependent
manner, which affects heart rate at a concentration as low as
2 mM and is sufficient to eliminate blood flow at 6 mM [46]. Consistent with the previous study, a concentration of 6 mM
produced a 53% reduction in heart rate and a cessation of blood
flow (Video S1) compared to control embryos (Video S2). A lower Microinjection of Antisense Morpholino Oligonucleotides
(MOs) Microinjection of Antisense Morpholino Oligonucleotides
(MOs) The MO for cardiac troponin T2a (tnnt2aMO) (59-CAT GTT
TGC TCT GAT CTG ACA CGC A-39) [42], along with
klf2aMO (59-GGA CCT GTC CAG TTC ATC CTT CCA C-39)
[43], and mmp2MO (59-GGG AGC TTA GTA AAC ACA AAC
CTG T-39) [44] were synthesized by Genetools LLC and diluted
in 16Danieau solution, before injection into one- to two-cell stage
embryos using a Nanoject (Drummond Scientific Company) at
dosages of 1.0, 1.2, and 1.2 pmole per embryo, respectively. 3b-Hydroxysteroid Dehydrogenase (3b-Hsd) Staining,
In Situ Hybridization (ISH), Immunohistochemistry (IHC),
Densitometry and Imaging Embryos used for histological analysis were treated with 0.03%
phenylthiourea (Sigma) from 12 h post-fertilization (hpf) onwards
to inhibit pigmentation. The 3b-Hsd activity staining, ISH [9],
and IHC [41] were performed with modifications according to
previously published methods. To delineate the morphology of steroidogenic interrenal tissue,
histochemical staining for 3b-Hsd enzymatic activity was per-
formed on whole embryos, and Nomarski images were captured
using a BX51 microscope (Olympus). For whole-mount ISH, digoxigenin (DIG)- and fluorescein-
labeled antisense riboprobes were synthesized from linearized
plasmids of dopamine b hydroxylase (dbh) and ff1b (nr5a1a) genes,
respectively; the probes were detected with alkaline phosphatase-
conjugated anti-DIG or -fluorescein antibody (Roche), and
visualized with 5-bromo-4-chloro-3-indolyl-phosphate/nitro blue
tetrazolium (Promega) or Fast Red (Roche). Stained embryos were PLOS ONE | www.plosone.org September 2014 | Volume 9 | Issue 9 | e107997 September 2014 | Volume 9 | Issue 9 | e107997 2 Hemodynamic Regulation of Interrenal Gland Assembly Hemodynamic Regulation of Interrenal Gland Assembly flat-mounted and photographed under an Axioplan II microscope
(Zeiss). flat-mounted and photographed under an Axioplan II microscope
(Zeiss). Blood Flow is Required for the Morphogenesis of Kidney
Glomerulus and Interrenal Tissue To further evaluate the effect of tissue
growth on interrenal morphogenetic movement, embryos were
treated with camptothecin, which blocks cell proliferation in
zebrafish embryos [45], from 48 to 57 hpf. Camptothecin-treated
embryos showed an 18% reduction in interrenal tissue size
compared to controls. Notably, the formation of protrusions was
unaffected by camptothecin treatment (Figure 1D), suggesting that
cell growth is not the major determinant for interrenal medial
extension. Taken together, these results indicate that blood flow is
required for the morphogenetic movement of both kidney and
interrenal tissues. Based on the early defects in the ventral DA
caused by tnnt2a knockdown [49,50], experiments were per-
formed to establish whether interrenal morphogenetic movement
during the temporal window of organ assembly is specifically
subject to regulation by blood flow. For the quantification of 3b-Hsd activity, images of deyolked
embryos in each group were taken with identical illumination and
magnification using Axioskop 2 Plus microscope equipped with
AxioVision 3.0 software (Carl Zeiss). Signal area and density were
measured using Image Gauge Program, version 4.0 (Fuji Photo
Film). Videos of embryos oriented with the anterior toward the left
were taken by using an SMZ1500 microscope equipped with an
AM4023X Dino-Eye eyepiece camera (Nikon). Pharmacological Treatment Camptothecin (Sigma # C9911) treatment was performed
according to a previously described method [45] with modifica-
tions. The compound (60 mM in 0.1% dimethyl sulfoxide
[DMSO]) was applied to 48 hpf embryos, which were harvested
at 57 hpf for the 3b-Hsd activity assay. The treatment of embryos
with 2,3-butanedione 2-monoxime (2,3-BDM; Sigma #B0753)
was as described in an earlier report [46], except that dechor-
ionated embryos were immersed in various concentrations of 2,3-
BDM starting from 1.5 dpf. Norepinephrine treatment was
performed by treating dechorionated embryos with 0.01, 0.1 or
1 mM norepinephrine (Sigma A7257) freshly prepared in egg
water. L-NAME treatment was performed by treating dechor-
ionated embryos with freshly prepared 100 mM Nv-nitro-L-
arginine methyl ester (L-NAME) (#N5751, Sigma) in egg water
with 0.1% DMSO at 36 hpf. For L-arginyl-L-glycyl-L-aspartic acid
(RGD; #G1269, Sigma) treatment, the peptide was reconstituted
to 1 mM in filter-sterilized egg water and applied to dechorionated
embryos at a final concentration of 100 mM at 26 hpf; embryos
were collected at 2.5 dpf and fixed for histological assays. September 2014 | Volume 9 | Issue 9 | e107997 Statistical Analysis All quantitative data are expressed as the mean 6 standard
error of the mean. Data were evaluated by analysis of variance
(ANOVA), followed by Duncan’s new multiple range test
(Duncan’s multiple test) or Student’s t test. P,0.05 was considered
statistically significant. PLOS ONE | www.plosone.org September 2014 | Volume 9 | Issue 9 | e107997 3 Hemodynamic Regulation of Interrenal Gland Assembly Figure 1. Morphology of pronephros and interrenal tissue in the absence of blood flow. (A) The interrenal steroidogenic tissue positive
for 3b-Hsd activity forms an extension that protrudes toward the midline by 54 hpf (cell protrusions marked by red arrows), while kidney glomeruli
delineated by wt1b: GFP expression (G, yellow arrowheads) assemble at the midline. Morphogenetic movements of kidney glomeruli and
steroidogenic tissues are defective in the tnnt2a morphant. All panels show dorsal views of representative embryos. (B) Quantification of effects of
tnnt2aMO injection on interrenal migration. The distance between the midline and the migrating tip of steroidogenic tissue was designated as
positive if the migrating tip had not reached the midline, and negative if the tip had migrated across the midline. (C) Relative density of steroidogenic
tissue, as assessed by 3b-Hsd activity staining in the ventral surface, in tnnt2a morphants compared to wild-type controls. The number of embryos in
each group is indicated in parentheses in (B) and (C). Histograms with different letters above them are significantly different (ANOVA and Duncan’s
multiple test, P,0.05). (D) Effect of camptothecin treatment from 48 to 57 hpf on 3b-Hsd activity in steroidogenic cells. A, anterior; P, posterior; L, left;
R, right. Broken yellow lines indicate position of the midline. Abbreviations: glomerulus (G). Scale bar, 50 mm. doi:10.1371/journal.pone.0107997.g001
Hemodynamic Regulation of Interrenal Gland Assembly Figure 1. Morphology of pronephros and interrenal tissue in the absence of blood flow. (A) The interrenal steroidogenic tissue positive
for 3b-Hsd activity forms an extension that protrudes toward the midline by 54 hpf (cell protrusions marked by red arrows), while kidney glomeruli
delineated by wt1b: GFP expression (G, yellow arrowheads) assemble at the midline. Morphogenetic movements of kidney glomeruli and
steroidogenic tissues are defective in the tnnt2a morphant. All panels show dorsal views of representative embryos. (B) Quantification of effects of
tnnt2aMO injection on interrenal migration. September 2014 | Volume 9 | Issue 9 | e107997 Statistical Analysis The distance between the midline and the migrating tip of steroidogenic tissue was designated as
positive if the migrating tip had not reached the midline, and negative if the tip had migrated across the midline. (C) Relative density of steroidogenic
tissue, as assessed by 3b-Hsd activity staining in the ventral surface, in tnnt2a morphants compared to wild-type controls. The number of embryos in
each group is indicated in parentheses in (B) and (C). Histograms with different letters above them are significantly different (ANOVA and Duncan’s
multiple test, P,0.05). (D) Effect of camptothecin treatment from 48 to 57 hpf on 3b-Hsd activity in steroidogenic cells. A, anterior; P, posterior; L, left;
R, right. Broken yellow lines indicate position of the midline. Abbreviations: glomerulus (G). Scale bar, 50 mm. doi:10.1371/journal.pone.0107997.g001 concentration of 2,3-BDM (2 mM) caused a 26% decrease in
heart rate and a visibly weakened blood flow (Video S3). To
examine the morphology of the DA adjacent to the kidney and
interrenal regions, 2,3-BDM was applied to Tg(kdrl: EGFP)s843
embryos that express GFP in the developing blood vascular
structure [40], which were then harvested at 2.5 dpf, when the
migration of interrenal cells can be clearly observed [19]. Treatment with 2 or 6 mM 2,3-BDM suppressed interrenal
medial extension across the midline (Figure 2B, B’’, C, C’’), with
similar effects observed at both concentrations (Figure 2D). However, the interrenal tissue had more protrusions at 2 than at
6 mM 2,3-BDM (Figure 2B, C), suggesting that the effect of 2,3-
BDM was dose-dependent. In contrast, the morphology of the DA and the pronephric glomerulus was unperturbed by 2,3-BDM
treatment. Thus, the inhibition of medial extension of the
interrenal tissue caused by loss of blood flow was not due to a
general defect in the DA. Conversely, as the heart rate was accelerated by norepinephrine
treatment from 33 hpf, a significant enhancement of interrenal
tissue extension was detected at 2 dpf (Figure 2E-E’’, F-F’’, G-G’’,
H). Norepinephrine accelerated the heart rate of developing
embryos in a dose-dependent manner (Figure S1). 0.01, 0.1 and
1 mM of norepinephrine treatments on embryos at 33 hpf led to a
23%, 29% and 41% increase of heart rate, respectively. Hemodynamic Regulation of Interrenal Gland Assembly designated as positive if the migrating tip had not reached the midline, and negative if the tip had migrated across the midline. *P,0.05; N.S., not
significant (Student’s t-test). (I) Suppressing effect of interrenal cell migration by 2,3-BDM at 6 mM from 1.5 dpf was reversible at 3 dpf, as the 2,3-
BDM applied from 1.5 dpf was washed out at 2.5 dpf for restoring blood flow. The interrenal tissue in recovered embryos extended across the midline
at 3 dpf and displayed a migration distance not significantly different from that in control embryos at 2.5 dpf. Histograms with different letters above
them are significantly different (ANOVA and Duncan’s multiple test, P,0.05). A, anterior; P, posterior; L, left; R, right. Broken white lines indicate
position of the midline. Abbreviations: glomerulus (G), posterior cardinal vein (PCV). Scale bar, 50 mm. doi:10.1371/journal.pone.0107997.g002 tnnt2a morphant [21]; accordingly, the present results indicated
that the blood flow was not required for the sprouting of the IRV
from the DA, but may play a role in its extension. Furthermore,
the interrenal tissue in 2,3-BDM-treated embryos (Figure 3B–B’,
C–C’) and tnnt2a morphants [21] only interacted with the tip of
the IRV but not the DA, while the extending interrenal tissue in
the control embryo remained closely associated with both the
ventral DA and the IRV (Figure 3A–A’). phenotype of interrenal tissue, as verified from the extending
protrusions (red arrows in Figure 2F, G), which was consistent
with the results of the quantification of interrenal tissue extension
(Figure 2H). However, no significant difference in steroidogenic
tissue extension could be detected between embryos treated with
0.1 or 1 mM of norepinephrine. Norepinephrine at 0.01 mM also
enhanced steroidogenic tissue extension (4.362.0 mm, n = 24)
compared to control embryos, while no significant statistical
difference was found among norepinephrine treatments at 0.01,
0.1 and 1 mM. Our results thus indicated that a moderate
elevation of heart rate by 23% was sufficient to promote migration
of steroidogenic interrenal cells, although further increase of heart
rate by treating with higher concentrations of norepinephrine did
not lead to a dose-dependent enhancing effect on interrenal medial
extension. To test whether accelerated blood flow could promote extension
of the IRV, embryos were treated with norepinephrine at 0.1 or
1 mM at 33 hpf and harvested at 2 dpf for analysis (Figure 3E-G,
E’-G’). Hemodynamic Regulation of Interrenal Gland Assembly It was found that norepinephrine at both concentrations
significantly increased length of the IRV (Figure 3H), yet no
difference in the IRV growth was observed between 0.1 and
1 mM of norepinephrine treatments. The promoting effects of
norepinephrine treatments on extension of the IRV were therefore
highly correlated with those on interrenal medial extension
(Figure 2H). Similar to the case of interrenal medial extension in
Figure 2I, restoring blood flow by 2,3-BDM washout after the
treatment from 1.5 to 2.5 dpf led to a recovery of IRV growth at 3
dpf, with the IRV length in 3-dpf recovered embryos not
significantly different from that in 2.5-dpf control embryos
(Figure 3I, S3). To confirm the relationship between blood flow and steroido-
genic cell migration, we further tested whether interrenal medial
extension repressed by 2,3-BDM treatment could be recovered by
restoring the blood flow (Figure 2I, Figure S2). Steroidogenic
tissue migrated across the midline by 2.5 dpf (Figure S2A, A’’) and
continued to extend and form a bilobed organ structure by 3 dpf
(Figure S2C, C’’). Extension of steroidogenic tissue was arrested as
2,3-BDM at 6 mM was applied to embryos from 1.5 dpf onwards
(Figure S2B, B’’, D, D’’). The steroidogenic tissue extension in 2,3-
BDM-treated embryos was recovered at 3 dpf as 2,3-BDM was
washed out at 2.5 dpf (Figure S2E, E’’). The interrenal tissue in
2,3-BDM-treated embryos appeared to be located further away
from the midline at 3 dpf than at 2.5 dpf (Figure 2I), possibly due
to continuous growth of peri-interrenal structures from 2.5 to 3
dpf. It is interesting to note that there was no significant difference
of migration distance between control embryos at 2.5 dpf and
recovered embryos at 3 dpf (Figure 2I), implying that the inhibited
interrenal medial extension by 2,3-BDM treatment from 1.5 to 2.5
dpf could be rescued by resuming blood flow for 12 hours. Taken
together, results in Figure 2 demonstrated that pharmacologic
repression and acceleration of heart rates are well correlated with
the extent of interrenal medial extension. Furthermore, the
inhibited steroidogenic tissue extension caused by arrested blood
flow was recoverable following restoration of blood flow, providing
strong evidence that migratory activity of interrenal steroidogenic
cells is indeed modulated by blood flow. Our results from pharmacologic inhibition and acceleration of
blood flow therefore strongly support that blood flow regulates
both
interrenal medial extension and
IRV growth during
interrenal organ assembly. Blood Flow Regulates IRV Extension during Interrenal
Organ Assembly Blood Flow Regulates IRV Extension during Interrenal
Organ Assembly Hemodynamic Regulation of Interrenal Gland Assembly While the processes of interrenal
medial extension and IRV growth occur synchronously during
development [21], they are both influenced by blood flow in a
highly correlated manner. Therefore, it leads to the hypothesis
that there might be a common flow-regulated molecular and
cellular mechanism by which both interrenal medial extension and
IRV angiogenesis are regulated. The initiation of IRV angiogen-
esis requires deposition of Fn at the ventral DA near the interrenal
tissue, and the accumulation of this protein in the local
microenvironment supports IRV extension [21]. While the
interrenal tissue is closely associated with both the DA and the
IRV, vessel-derived Fn functions at the tissue-vessel interface and
thus modulates the migration of steroidogenic cells [19]. There-
fore, it is possible that the vascular microenvironment established
during IRV angiogenesis is regulated by blood flow, which in turn
modulates the migration of steroidogenic cells. Statistical Analysis Compared
to the control embryo (Figure 2E), both 0.1 and 1 mM of
norepinephrine treatements led to a more evident migratory September 2014 | Volume 9 | Issue 9 | e107997 PLOS ONE | www.plosone.org 4 Hemodynamic Regulation of Interrenal Gland Assembly ects of 2,3-BDM and norepinephrine on morphogenetic movements of interrenal tissue. For repression of blo
3 embryos were treated with (A–A’’) vehicle (control), or 2,3-BDM at a concentration of (B–B’’) 2 mM or (C–C’’) 6 mM from 1
the medial extension of steroidogenic cells was observed in 2,3-BDM-treated embryos at 2.5 dpf, while the morphology of th
glomerulus (yellow arrowheads) appeared unperturbed. Protrusions (red arrow) formed at the lower concentration; the ph
re at the higher concentration. For acceleration of blood flow, Tg(kdrl: GFP)s843 embryos were treated with (E-E’’) vehicle (co
e at a concentration of (F–F’’) 0.1 mM or (G-G’’) 1 mM from 33 hpf. An enhancement of interrenal medial extension, as evid
of protrusions, was observed in norepinephrine-treated embryos at 2 dpf. The effects of 2,3-BDM and norepinephrine treatm
ation were quantified in (D) and (H), respectively. The distance between the midline and migrating tip of steroidogenic ti Figure 2. Effects of 2,3-BDM and norepinephrine on morphogenetic movements of interrenal tissue. For repression of blood flow,
Tg(kdrl: GFP)s843 embryos were treated with (A–A’’) vehicle (control), or 2,3-BDM at a concentration of (B–B’’) 2 mM or (C–C’’) 6 mM from 1.5 dpf. A
suppression of the medial extension of steroidogenic cells was observed in 2,3-BDM-treated embryos at 2.5 dpf, while the morphology of the DA and
the pronephric glomerulus (yellow arrowheads) appeared unperturbed. Protrusions (red arrow) formed at the lower concentration; the phenotype
was more severe at the higher concentration. For acceleration of blood flow, Tg(kdrl: GFP)s843 embryos were treated with (E-E’’) vehicle (control), or
norepinephrine at a concentration of (F–F’’) 0.1 mM or (G-G’’) 1 mM from 33 hpf. An enhancement of interrenal medial extension, as evidenced by
the formation of protrusions, was observed in norepinephrine-treated embryos at 2 dpf. The effects of 2,3-BDM and norepinephrine treatments on
interrenal migration were quantified in (D) and (H), respectively. The distance between the midline and migrating tip of steroidogenic tissue was n morphogenetic movements of interrenal tissue. September 2014 | Volume 9 | Issue 9 | e107997 PLOS ONE | www.plosone.org 5 Blood Flow is Required for Patterning the Fn-rich
Microenvironment and pFak Distribution in the Interrenal
Region The IRV length in recovered embryos at 3 dpf was not significantly different from that in
control embryos at 2.5 dpf. Histograms with different letters above them are significantly different (ANOVA and Duncan’s multiple test, P,0.05). D,
dorsal; V, ventral; L, left; R, right. Abbreviations: interrenal tissue (IR), notochord (NC), somite (S). Scale bar, 25 mm. doi:10.1371/journal.pone.0107997.g003
y
g
y Figure 3. Effects of 2,3-BDM and norepinephrine on IRV formation. For repression of blood flow, Tg(kdrl: GFP)s843 embryos were treated with
(A–A’) vehicle (control), or 2,3-BDM at a concentration of (B–B’) 2 mM or (C–C’) 6 mM from 1.5 dpf, and harvested at 2.5 dpf. For acceleration of blood
flow, Tg(kdrl: GFP)s843 embryos were treated with (E-E’) vehicle (control), or norepinephrine at a concentration of (F–F’) 0.1 mM or (G-G’) 1 mM from 33
hpf, and harvested at 2 dpf. Transverse sections of harvested embryos were subject to analysis of 3b-Hsd activity (black) and GFP expression (green). IRV lengths of 2,3-BDM- or norepinephrine-treated embryos were quantified in (D) and (H), respectively; which were verified from confocal Z-stacks
covering the full range of IRV growth, and measurements were made from single focal planes displaying the maximal range of ventrally extending
IRV. *P,0.05, ***P,0.0005, N.S., not significant (Student’s t-test). (I) Repressing effect of 2,3-BDM (6 mM) on IRV growth was reversible at 3 dpf, as the
2,3-BDM applied from 1.5 dpf was washed out at 2.5 dpf. The IRV length in recovered embryos at 3 dpf was not significantly different from that in
control embryos at 2.5 dpf. Histograms with different letters above them are significantly different (ANOVA and Duncan’s multiple test, P,0.05). D,
dorsal; V, ventral; L, left; R, right. Abbreviations: interrenal tissue (IR), notochord (NC), somite (S). Scale bar, 25 mm. doi:10.1371/journal.pone.0107997.g003 mediated signaling. In contrast, pFak distribution was readily
detected at the somites, gut tube, and swim bladder in tnnt2a
morphants
(Figure 4B,
B’)
and
2,3-BDM-treated
embryos
(Figure 4C,
C’). These
results
indicate
that
the
interrenal
microenvironment established during IRV angiogenesis is per-
turbed by reduced blood flow, resulting in the suppression of Fn-
pFak signaling and steroidogenic cell migration. abnormally distributed, raising the possibility that in the absence
of blood flow, the polymerization of Fn into fibrils was disrupted. Blood Flow is Required for Patterning the Fn-rich
Microenvironment and pFak Distribution in the Interrenal
Region g
y
Interrenal medial extension temporally coincides with IRV
angiogenesis, which is promoted by the IRV-associated vascular
microenvironment [21], and therefore the effect of reduced blood
flow on IRV angiogenesis was examined from 1.5 to 2.5 dpf
(Figure 3). IRV growth was initiated normally when blood flow
was inhibited starting at 1.5 dpf. However, in embryos treated with
2 or 6 mM 2,3-BDM, IRV lengths were reduced and the vessels
reached but did not extend ventrally through the interrenal tissue,
with a more severe phenotype observed at the higher concentra-
tion (Figure 3B’–C’, D), indicating a dose-dependent effect of 2,3-
BDM on IRV extension. Our previous study showed that IRV
directionality, but not initiation of angiogenesis, is perturbed in the Possible perturbations in the interrenal microenvironment of
blood flow-deficient embryos were assessed using the Tg(ff1bEx2:
GFP) line, in which the GFP expression recapitulates the
endogenous expression of ff1b [52]—the teleostean ortholog of
mammalian SF-1—and marks the ontogeny of steroidogenic
interrenal tissue [16,17]. Embryos were examined for expression
of Fn and pFak (Figure 4). The elimination of blood flow by
tnnt2aMO injection (Figure 4B–B’’) or 6 mM 2,3-BDM treatment
(Figure 4C–C’’)
did
not
diminish
Fn
accumulation
in
the
interrenal microenvironment (Figure 4D). However, Fn was PLOS ONE | www.plosone.org September 2014 | Volume 9 | Issue 9 | e107997 6 Hemodynamic Regulation of Interrenal Gland Assembly Figure 3. Effects of 2,3-BDM and norepinephrine on IRV formation. For repression of blood flow, Tg(kdrl: GFP)s843 embryos were treated with
(A–A’) vehicle (control), or 2,3-BDM at a concentration of (B–B’) 2 mM or (C–C’) 6 mM from 1.5 dpf, and harvested at 2.5 dpf. For acceleration of blood
flow, Tg(kdrl: GFP)s843 embryos were treated with (E-E’) vehicle (control), or norepinephrine at a concentration of (F–F’) 0.1 mM or (G-G’) 1 mM from 33
hpf, and harvested at 2 dpf. Transverse sections of harvested embryos were subject to analysis of 3b-Hsd activity (black) and GFP expression (green). IRV lengths of 2,3-BDM- or norepinephrine-treated embryos were quantified in (D) and (H), respectively; which were verified from confocal Z-stacks
covering the full range of IRV growth, and measurements were made from single focal planes displaying the maximal range of ventrally extending
IRV. *P,0.05, ***P,0.0005, N.S., not significant (Student’s t-test). (I) Repressing effect of 2,3-BDM (6 mM) on IRV growth was reversible at 3 dpf, as the
2,3-BDM applied from 1.5 dpf was washed out at 2.5 dpf. Blood Flow is Required for Patterning the Fn-rich
Microenvironment and pFak Distribution in the Interrenal
Region Transverse sections of Tg(ff1bEx2: GFP) embryos were (A–A’’) uninjected (control), (B–B’’) injected with tnnt2aMO, or (C–C’’) treated with 6 mM 2,3-
BDM from 1.5 dpf. Embryos were harvested at 2.5 dpf and assayed for expression of GFP (green), Fn (red), and pFak (blue in A–C and A’–C’; white in
A’’–C’’). Images are single confocal planes showing the maximal transverse dimension of ff1bGFP-expressing steroidogenic tissue of a representative
embryo, with magnified views shown in (A’’–C’’). (D) Fluorescence intensity of Fn in the DA and IRV selected as regions of interest (ROI; white lines in
A’–C’) normalized to the size of the ROI. (E) Total fluorescence intensities of pFak within the steroidogenic tissue (ROI marked by orange lines in A’’–
C’’) were normalized to the size of the cluster. The difference between the treatment and the control groups was analyzed by Student’s t-test. ***P,
0.001, N.S., not significant. D, dorsal; V, ventral; L, left; R, right. Abbreviations: arbitrary units (A.U.), interrenal tissue (IR), notochord (NC), somite (S),
swim bladder (SB). Scale bar, 25 mm. doi:10.1371/journal.pone.0107997.g004 Figure 4. Effect of blood flow inhibition on the ECM microenvironment and pFak distribution in interrenal steroidogenic tissue. Transverse sections of Tg(ff1bEx2: GFP) embryos were (A–A’’) uninjected (control), (B–B’’) injected with tnnt2aMO, or (C–C’’) treated with 6 mM 2,3-
BDM from 1.5 dpf. Embryos were harvested at 2.5 dpf and assayed for expression of GFP (green), Fn (red), and pFak (blue in A–C and A’–C’; white in
A’’–C’’). Images are single confocal planes showing the maximal transverse dimension of ff1bGFP-expressing steroidogenic tissue of a representative
embryo, with magnified views shown in (A’’–C’’). (D) Fluorescence intensity of Fn in the DA and IRV selected as regions of interest (ROI; white lines in
A’–C’) normalized to the size of the ROI. (E) Total fluorescence intensities of pFak within the steroidogenic tissue (ROI marked by orange lines in A’’–
C’’) were normalized to the size of the cluster. The difference between the treatment and the control groups was analyzed by Student’s t-test. ***P,
0.001, N.S., not significant. D, dorsal; V, ventral; L, left; R, right. Abbreviations: arbitrary units (A.U.), interrenal tissue (IR), notochord (NC), somite (S),
swim bladder (SB). Scale bar, 25 mm. doi:10.1371/journal.pone.0107997.g004 Blood Flow is Required for Patterning the Fn-rich
Microenvironment and pFak Distribution in the Interrenal
Region To verify whether aberrant Fn deposition perturbed signaling
events within the interrenal tissue, the localization of pFak—a
downstream effector of Fn-Integrin signaling and an indicator of
the dynamic reorganization of focal adhesions during cell
migration—was examined (Figure 4A–C’’). Indeed, pFak level
within the interrenal tissue was significantly reduced compared to
control embryos (Figure 4E), suggesting a disruption of Integrin- September 2014 | Volume 9 | Issue 9 | e107997 PLOS ONE | www.plosone.org 7 PLOS ONE | www.plosone.org Hemodynamic Regulation of Interrenal Gland Assembly e 4. Effect of blood flow inhibition on the ECM microenvironment and pFak distribution in interrenal steroidogenic tissue. verse sections of Tg(ff1bEx2: GFP) embryos were (A–A’’) uninjected (control), (B–B’’) injected with tnnt2aMO, or (C–C’’) treated with 6 mM 2,3-
rom 1.5 dpf. Embryos were harvested at 2.5 dpf and assayed for expression of GFP (green), Fn (red), and pFak (blue in A–C and A’–C’; white in
). Images are single confocal planes showing the maximal transverse dimension of ff1bGFP-expressing steroidogenic tissue of a representative
yo, with magnified views shown in (A’’–C’’). (D) Fluorescence intensity of Fn in the DA and IRV selected as regions of interest (ROI; white lines in
normalized to the size of the ROI. (E) Total fluorescence intensities of pFak within the steroidogenic tissue (ROI marked by orange lines in A’’–
ere normalized to the size of the cluster. The difference between the treatment and the control groups was analyzed by Student’s t-test. ***P,
N S not significant D dorsal; V ventral; L left; R right Abbreviations: arbitrary units (A U ) interrenal tissue (IR) notochord (NC) somite (S) igure 4. Effect of blood flow inhibition on the ECM microenvironment and pFak distribution in interrenal steroidogenic tissue. ransverse sections of Tg(ff1bEx2: GFP) embryos were (A–A’’) uninjected (control), (B–B’’) injected with tnnt2aMO, or (C–C’’) treated with 6 mM 2,3-
DM from 1 5 dpf Embryos were harvested at 2 5 dpf and assayed for expression of GFP (green) Fn (red) and pFak (blue in A C and A’ C’; white in flow inhibition on the ECM microenvironment and pFak distribution in interrenal steroidogenic tissue Figure 4. Effect of blood flow inhibition on the ECM microenvironment and pFak distribution in inte Figure 4. Effect of blood flow inhibition on the ECM microenvironment and pFak distribution in interrenal steroidogenic tissue. September 2014 | Volume 9 | Issue 9 | e107997 Klf2a and MMP2 are Required for Migration,
Angiogenesis, and Fn-pFak signaling in the interrenal
tissue The number of embryos in each group is indicated in parentheses. The extent of
interrenal medial extension of control 2.5-dpf embryos in panel 5D was not statistically different from those in Figure 2D and 2I. Fn and pFak
expression in the interrenal region was examined in (E–E’’’’) uninjected (control), and (F–F’’’’) klf2aMO- and (G–G’’’’) mmp2MO-injected embryos by
IHC. Images show transverse sections of a representative embryo from each treatment group. (H) Quantification of the effects of klf2aMO and
mmp2MO on IRV growth, Fn level in the vicinity of the DA and IRV (ROI marked by broken lines in E’’–G’’), and pFak level in the steroidogenic tissue
(ROI marked by orange lines in E’’’’–G’’’’). The number of embryos in each group is indicated in parentheses. Fluorescence intensities of Fn and pFak
were normalized to their respective ROI sizes. The difference between the treatment and the control groups was analyzed by Student’s t-test. *P,
0.05, ***P,0.001, N.S., not significant. A, anterior; P, posterior; L, left; R, right; D, dorsal; V, ventral. Abbreviations: notochord (NC). Scale bar, 25 mm. doi:10.1371/journal.pone.0107997.g005 Figure 5. Suppression of interrenal tissue migration in klf2a and mmp2 morphants. Dorsal view of interrenal steroidogenic tissue (IR, red
arrows) as detected by 3b-Hsd activity staining, with adjacent vasculature marked by GFP expression. Tg(kdrl: GFP)s843 embryos were (A, A’) uninjected
(control), or injected with (B, B’) klf2aMO or (C, C’) mmp2MO. (D) Quantification of the effects of MO-mediated gene knockdown on interrenal
migration. The distance between the midline and the migrating tip of steroidogenic tissue was designated as positive if the migrating tip had not
reached the midline and negative if it had crossed the midline. The number of embryos in each group is indicated in parentheses. The extent of
interrenal medial extension of control 2.5-dpf embryos in panel 5D was not statistically different from those in Figure 2D and 2I. Fn and pFak
expression in the interrenal region was examined in (E–E’’’’) uninjected (control), and (F–F’’’’) klf2aMO- and (G–G’’’’) mmp2MO-injected embryos by
IHC. Images show transverse sections of a representative embryo from each treatment group. (H) Quantification of the effects of klf2aMO and
mmp2MO on IRV growth, Fn level in the vicinity of the DA and IRV (ROI marked by broken lines in E’’–G’’), and pFak level in the steroidogenic tissue
(ROI marked by orange lines in E’’’’–G’’’’). The number of embryos in each group is indicated in parentheses. Klf2a and MMP2 are Required for Migration,
Angiogenesis, and Fn-pFak signaling in the interrenal
tissue observed at 2.5 dpf, and circulation was unaffected, making it
possible to evaluate the specific effect of hemodynamic forces on
interrenal development at this stage. Consistent with the previous
finding that primary vascular structures are not perturbed in the
klf2a morphant [24], the axial vasculature was grossly normal in
the peri-interrenal region at 2.5 dpf (Figure 5B’). However, the
migration of steroidogenic cells was inhibited (Figure 5B, D), and
IRV growth and directionality were perturbed (Figure 5F, H). In
contrast to the tnnt2a morphant and 2,3-BDM-treated embryos in
which the steroidogenic tissue and DA were not closely associated
(Figure 3) [21], the interrenal tissue was proximal to the DA in the To confirm whether hemodynamics, and not circulating factors,
account for the effect of blood flow on steroidogenic tissue
migration and angiogenesis, the role of Klf2a and MMP2 in
interrenal morphogenesis was evaluated (Figure 5). While Klf2a
deficiency leads to heart failure at 3 dpf [24], as evidenced by
pericardial edema and venous pooling of blood around the yolk
sac, a heart rate similar to that of control embryos is observed at 2
dpf [3]. In the present study, only mild cardiac edema was September 2014 | Volume 9 | Issue 9 | e107997 PLOS ONE | www.plosone.org 8 Hemodynamic Regulation of Interrenal Gland Assembly Figure 5. Suppression of interrenal tissue migration in klf2a and mmp2 morphants. Dorsal view of interrenal steroidogenic tissue (IR, red
arrows) as detected by 3b-Hsd activity staining, with adjacent vasculature marked by GFP expression. Tg(kdrl: GFP)s843 embryos were (A, A’) uninjected
(control), or injected with (B, B’) klf2aMO or (C, C’) mmp2MO. (D) Quantification of the effects of MO-mediated gene knockdown on interrenal
migration. The distance between the midline and the migrating tip of steroidogenic tissue was designated as positive if the migrating tip had not Figure 5. Suppression of interrenal tissue migration in klf2a and mmp2 morphants. Dorsal view of interrenal steroidogenic tissue (IR, red
arrows) as detected by 3b-Hsd activity staining, with adjacent vasculature marked by GFP expression. Tg(kdrl: GFP)s843 embryos were (A, A’) uninjected
(control), or injected with (B, B’) klf2aMO or (C, C’) mmp2MO. (D) Quantification of the effects of MO-mediated gene knockdown on interrenal
migration. The distance between the midline and the migrating tip of steroidogenic tissue was designated as positive if the migrating tip had not
reached the midline and negative if it had crossed the midline. Hemodynamic Regulation of Interrenal Gland Assembly klf2a morphant. Despite these phenotypic differences between
blood flow-deficient and klf2a morphant embryos, both types of
embryos showed abnormal Fn distribution and reduced pFak level
in the interrenal area (Figure 5F’–F’’’’, H). The RGD peptide, an antagonist of Fn, was applied to
Tg(ff1bEx2: GFP) embryos at a concentration of 100 mM starting
from 26 hpf, when circulation is initiated; in these embryos,
junctional b-Catenin distribution was significantly higher than in
controls at 2.5 dpf (Figure 6J–J’, M). RGD effectively reduced
pFak level in the interrenal area (Figure S5), thus suggesting that
the inhibition of pFak signaling was responsible for the observed
suppression of EMT-like changes in steroidogenic cells. Moreover,
b-Catenin accumulation at cell-cell junctions was evident in both
klf2a and mmp2 morphants at 2.5 dpf (Figure 6K–K’, L–L’, M) as
compared to the control embryo. Although blood flow regulates the generation of hematopoietic
stem cells from the DA by a klf2a-nitric oxide (NO) pathway
[49,50], steroidogenic interrenal tissue migration and angiogenesis
were NO-independent (Figure S4). Treatment with the endothelial
NO synthase inhibitor L-NAME from 1.5 to 2.5 dpf had no effect
on interrenal tissue migration and angiogenesis, indicating that
blood flow and Klf2a do not regulate interrenal morphogenesis
through activation of NO signaling. Consistent with the results of b-Catenin expression, immuno-
histochemial analysis of E-cadherin, a central component of cell-
cell adhesion junction which is required for the formation of
epithelia [56,57], detected a clear epithelial phenotype of the
interrenal tissue at 2 dpf (Figure S6A, A’). At 2.5 dpf, the E-
cadherin expression was reduced at the interrenal tissue where a
migratory phenotype was manifested (Figure S6B, B’). In contrast,
junctional E-cadherin distribution at the interrenal tissue was not
reduced in 2.5 dpf embryos where interrenal medial migration was
suppressed by a disruption of either circulation (Figure S6C, C’) or
pFak-mediated signaling (Figure S6D, D’), or hemodynamics-
regulated molecules (Figure S6E, E’, F, F’). It was noted that
RGD-treated embryos and mmp2 morphants at 2.5 dpf displayed
a higher expression level of junctional E-cadherin than control
embryos at 2 dpf did (Figure S6G), with the underlying mechanism
remaining
unclear. Nevertheless,
the
immunohistochemistry
results of b-Catenin and E-cadherin both indicated a clear
reduction of epithelial nature at the interrenal tissue from 2 to
2.5 dpf. Medial Extension of the Interrenal Tissue Involves
EMT-like Changes in Steroidogenic Cell Morphology that
are Hemodynamically Regulated and pFak-Dependent y
y
g
p
p
The interaction of cancerous epithelial cells with Fn in vitro
promotes EMT [53,54]. The morphology of the interrenal
steroidogenic tissue and the associated Fn-enriched microenviron-
ment suggested that an EMT-like phenotypic change could occur
during interrenal medial extension. An examination of interrenal
tissue morphology by high resolution Nomarski microscopy
revealed that while steroidogenic cells positive for 3b-Hsd activity
formed a cluster to the right of the midline by 48 hpf (Figure 6A,
B), protrusions were detected at 48 hpf that became more evident
by 60 hpf (Figure 6C) and continuously spread across the midline
until a bilobed structure was formed by 84 hpf (Figure 6E). During
the morphogenetic movement, interrenal steroidogenic cells
became more loosely associated with each other and demonstrated
a mesenchymal-like phenotype with cell surface protrusions
(Figure 6D, E). These morphological features likely reflected an
EMT-like process during organ assembly. To confirm whether interrenal steroidogenic cells undergo a
transformation from epithelial to mesenchymal phenotypes, the
expression of b-Catenin—a marker for adherent junctions in
epithelial cells [55]—was examined. At 2 dpf, b-Catenin was
clearly detected at cell-cell junctions of interrenal steroidogenic
cells visible by GFP expression in ff1bEx2: GFP embryos
(Figure 6F–F’), while at 2.5 dpf, b-Catenin was markedly reduced
within the steroidogenic tissue cluster (Figure 6G–G’), reflecting
the adoption of a mesenchymal-like character. Hemodynamic Regulation of Interrenal Gland Assembly Moreover, mesenchymal phenotype of the interrenal
tissue at 2.5 dpf correlated well with a rise of Vimentin expression
in the ff1b-expressing steroidogenic cells (Figure S7A, A’, B, B’). Vimentin, a type III intermediate filament protein and a widely
used mesenchymal marker, plays a predominant role for inducing
changes in cell shape, adhesion and motility during the EMT
[58,59]. In contrast to the reduction of b-Catenin and E-cadherin
during interrenal medial extension, the Vimentin expresison is
significantly increased from 2 to 2.5 dpf, and this accumulation of
Vimentin was not detected in embryos deficient in either blood
flow (Figure S7C, C’) or pFak signaling (Figure S6D, D’), or
hemodynamic transducers (Figure S7E, E’, F, F’). Therefore, an
inverse correlation between epithelial and mesenchymal markers
was observed during interrenal medial expression. Taken together,
these results indicate that blood flow, through mechanotransduc-
tion and Fn-pFak signaling, promotes EMT-like changes in
steroidogenic cells during interrenal organ assembly. g
g
g
Embryos injected with 1.2 pmole mmp2MO had no major
morphological abnormalities except for a kinked tail and mild (2%)
reduction in heartbeat that did not cause any visible changes in
blood flow. Nevertheless, morphants showed defects in migration,
angiogenesis, and Fn-pFak signaling in the interrenal tissue
(Figure 5C, D, G, H). This indicated that MMP2 activity may
participate in the blood flow-regulated interrenal microenviron-
ment. As observed upon klf2a knockdown, the steroidogenic tissue
remained associated with both the DA and the IRV, suggesting
that neither Klf2a nor MMP2 was essential for this association,
which
likely
depends
on
other
hemodynamically
regulated
molecules. Klf2a and MMP2 are Required for Migration,
Angiogenesis, and Fn-pFak signaling in the interrenal
tissue Fluorescence intensities of Fn and pFak
were normalized to their respective ROI sizes. The difference between the treatment and the control groups was analyzed by Student’s t-test. *P,
0.05, ***P,0.001, N.S., not significant. A, anterior; P, posterior; L, left; R, right; D, dorsal; V, ventral. Abbreviations: notochord (NC). Scale bar, 25 mm. doi:10.1371/journal.pone.0107997.g005 Figure 5. Suppression of interrenal tissue migration in klf2a and mmp2 morphants. Dorsal view of interrenal steroidogenic tissue (IR, red
arrows) as detected by 3b-Hsd activity staining, with adjacent vasculature marked by GFP expression. Tg(kdrl: GFP)s843 embryos were (A, A’) uninjected
(control), or injected with (B, B’) klf2aMO or (C, C’) mmp2MO. (D) Quantification of the effects of MO-mediated gene knockdown on interrenal
migration. The distance between the midline and the migrating tip of steroidogenic tissue was designated as positive if the migrating tip had not
reached the midline and negative if it had crossed the midline. The number of embryos in each group is indicated in parentheses. The extent of
interrenal medial extension of control 2.5-dpf embryos in panel 5D was not statistically different from those in Figure 2D and 2I. Fn and pFak
expression in the interrenal region was examined in (E–E’’’’) uninjected (control), and (F–F’’’’) klf2aMO- and (G–G’’’’) mmp2MO-injected embryos by
IHC. Images show transverse sections of a representative embryo from each treatment group. (H) Quantification of the effects of klf2aMO and
mmp2MO on IRV growth, Fn level in the vicinity of the DA and IRV (ROI marked by broken lines in E’’–G’’), and pFak level in the steroidogenic tissue
(ROI marked by orange lines in E’’’’–G’’’’). The number of embryos in each group is indicated in parentheses. Fluorescence intensities of Fn and pFak
were normalized to their respective ROI sizes. The difference between the treatment and the control groups was analyzed by Student’s t-test. *P,
0.05, ***P,0.001, N.S., not significant. A, anterior; P, posterior; L, left; R, right; D, dorsal; V, ventral. Abbreviations: notochord (NC). Scale bar, 25 mm. doi:10.1371/journal.pone.0107997.g005 September 2014 | Volume 9 | Issue 9 | e107997 PLOS ONE | www.plosone.org 9 Hemodynamic Regulation of Interrenal Gland Assembly September 2014 | Volume 9 | Issue 9 | e107997 Migration of Differentiated Chromaffin Cells Requires
Blood Flow but is Independent of Mechanotransduction
and Fn-Mediated Signaling To determine whether blood flow also regulates the develop-
ment of the chromaffin cell lineage, ISH was performed to detect
transcript expression of ff1b and dbh, markers for steroidogenic
and chromaffin cell lineages, respectively (Figure 7). Consistent
with the findings of our earlier study [19], the integration of the
two cell populations was detected as early as 36 hpf (Figure
7A–A’), and was not affected in tnnt2a morphants (Figure 7B–B’),
while interrenal medial migration and organ assembly were
observed at 56 hpf and 3 dpf (Figure 7C–C’, E–E’), respectively. Since the medial extension of steroidogenic tissue was inhibited in
tnnt2a morphants, chromaffin cells that reached the interrenal
region remained closely associated with steroidogenic cells, and
were located to the right of the midline (Figure 7D–D’, F–F’). While the convergence of differentiated chromaffin cells colonizing Since an EMT-like change occurred in steroidogenic cells
during interrenal medial extension, the roles of hemodynamic
forces and Fn-pFak signaling in this process was assessed. The
accumulation of b-Catenin was observed in the interrenal tissue of
blood flow-deficient embryos generated by tnnt2aMO microin-
jection (Figure 6H–H’) or 6 mM 2,3-BDM treatment (Figure
6I–I’), providing evidence that blood flow induces an EMT-like
change in steroidogenic cells. Since blood flow regulates interrenal
medial migration via Fn-pFak signaling (Figure 4), Fn signaling
was inhibited without perturbing blood flow to determine whether
the EMT-like change in steroidogenic cells could be repressed. PLOS ONE | www.plosone.org September 2014 | Volume 9 | Issue 9 | e107997 10 Hemodynamic Regulation of Interrenal Gland Assembly Figure 6. Steroidogenic cells are induced to undergo an EMT-like change by hemodynamic forces and pFak signaling. (A–E) Ventral
view of the midtrunk from 34 to 84 hpf; steroidogenic cells become loosely associated and develop protrusions at the cell surface. The accumulation
of b-Catenin at cell-cell junctions in the steroidogenic tissue can be seen in cross sections of Tg(ff1bEx2: GFP) embryos at (F, F’) 2 dpf, but not at (G, G’)
2.5 dpf. The decrease in junctional b-Catenin was not observed in (H, H’) tnnt2a morphants, (I, I’) 2,3-BDM- or (J, J’) RGD-treated embryos, or (K, K’)
klf2a or (L, L’) mmp2 morphants. Sections are shown of a representative embryo from each treatment group. (M) Fluorescence intensity of b-Catenin
in ff1bGFP-expressing steroidogenic tissue (ROI marked by orange lines) is normalized to the size of the cluster, with the number of embryos
indicated in parentheses. Migration of Differentiated Chromaffin Cells Requires
Blood Flow but is Independent of Mechanotransduction
and Fn-Mediated Signaling The difference between 2-dpf control group and any of the other groups was analyzed by Student’s t-test. *P,0.05, N.S.,
not significant. A, anterior; P, posterior; L, left; R, right; D, dorsal; V, ventral. Broken yellow lines indicate position of the midline. Abbreviations:
notochord (NC). Scale bar, 25 mm. doi:10.1371/journal.pone.0107997.g006 Figure 6. Steroidogenic cells are induced to undergo an EMT-like change by hemodynamic forces and pFak signaling. (A–E) Ventral
view of the midtrunk from 34 to 84 hpf; steroidogenic cells become loosely associated and develop protrusions at the cell surface. The accumulation
of b-Catenin at cell-cell junctions in the steroidogenic tissue can be seen in cross sections of Tg(ff1bEx2: GFP) embryos at (F, F’) 2 dpf, but not at (G, G’)
2.5 dpf. The decrease in junctional b-Catenin was not observed in (H, H’) tnnt2a morphants, (I, I’) 2,3-BDM- or (J, J’) RGD-treated embryos, or (K, K’)
klf2a or (L, L’) mmp2 morphants. Sections are shown of a representative embryo from each treatment group. (M) Fluorescence intensity of b-Catenin
in ff1bGFP-expressing steroidogenic tissue (ROI marked by orange lines) is normalized to the size of the cluster, with the number of embryos
indicated in parentheses. The difference between 2-dpf control group and any of the other groups was analyzed by Student’s t-test. *P,0.05, N.S.,
not significant. A, anterior; P, posterior; L, left; R, right; D, dorsal; V, ventral. Broken yellow lines indicate position of the midline. Abbreviations:
notochord (NC). Scale bar, 25 mm. doi:10.1371/journal.pone.0107997.g006 the migration of steroidogenic and chromaffin cells are differen-
tially modulated by blood flow. the interrenal organ was completed by 3 dpf in wild-type embryos
(Figure 7E’), clusters of differentiated chromaffin cells were located
outside the interrenal region in tnnt2a morphants (Figure 7F–F’),
apparently due to the unsuccessful migration of chromaffin cells,
indicating that although they are still capable of interacting with
steroidogenic cells, their migration is defective in blood flow-
deficient embryos, leading to an incomplete assembly of the
interrenal organ. September 2014 | Volume 9 | Issue 9 | e107997 Discussion The results of this study indicate that in addition to supplying
steroids and maintaining tissue homeostasis, blood flow ensures
maximal interaction between steroidogenic and chromaffin cells in
teleosts (Figure 8). During interrenal organ assembly, hemody-
namic forces pattern the vascular microenvironment and regulate
the morphology of steroidogenic cells and the associated angio-
genic endothelium. The data presented here illustrate a mecha-
nism by which an EMT-like process and tissue-tissue interactions
can be modulated by blood flow. A disruption of the vascular
microenvironment or mechanotransduction perturbs steroidogen-
ic tissue morphogenesis but not chromaffin cell migration, Interestingly, while blood flow was required, mechanotransduc-
tion and Fn-pFak signaling were dispensable for chromaffin cell
migration. Embryos injected with klf2aMO or mmp2MO, or
treated with 100 mM RGD starting from 26 hpf, had defective
medial migration of ff1b-expressing cells but normal convergence
of chromaffin cells at the midline (Figure 7G–I, G’–I’), resulting in
only partial integration of the two cell lineages. This implies that PLOS ONE | www.plosone.org PLOS ONE | www.plosone.org September 2014 | Volume 9 | Issue 9 | e107997 11 Hemodynamic Regulation of Interrenal Gland Assembly Figure 7. Interaction between interrenal steroidogenic and chromaffin cells in tnnt2a, klf2a, and mmp2 morphants and RGD-treated
embryos during interrenal gland assembly. Double ISH assays showing colocalization of ff1b (red) and dbh (black) transcripts in uninjected
control embryos and tnnt2a morphants at (A, A’; B, B’) 36 hpf (n = 3 and 6, respectively), (C, C’; D, D’) 56 hpf (n = 3 and 5, respectively), and (E, E’; F, F’) 3
dpf (n = 17 and 15, respectively), and in (G, G’) klf2a (n = 9) and (H, H’) mmp2 (n = 8) morphants and (I, I’) RGD-treated embryos (n = 18) at 3 dpf. Ventral
flat mount views are shown for representative embryos in each group, oriented with anterior at the top. Yellow arrowheads indicate chromaffin cell
clusters that failed to converge at the interrenal area in tnnt2a morphants. Broken white lines indicate position of the midline. (J) Schematic
representation of various phenotypic defects associated with interrenal organ assembly. Panels show ventral views of wild-type, mutant, morphant,
and drug-treated embryos at 3 dpf, oriented with anterior at the top. Phenotypes depicted for cloche (clo) and fn1 mutants are based on previous
reports [9,21]. Abbreviations: notochord (NC), the third somite (3S), the fourth somite (4S). doi:10.1371/journal.pone.0107997.g007 Figure 7. Discussion Interaction between interrenal steroidogenic and chromaffin cells in tnnt2a, klf2a, and mmp2 morphants and RGD-treated
embryos during interrenal gland assembly. Double ISH assays showing colocalization of ff1b (red) and dbh (black) transcripts in uninjected
control embryos and tnnt2a morphants at (A, A’; B, B’) 36 hpf (n = 3 and 6, respectively), (C, C’; D, D’) 56 hpf (n = 3 and 5, respectively), and (E, E’; F, F’) 3
dpf (n = 17 and 15, respectively), and in (G, G’) klf2a (n = 9) and (H, H’) mmp2 (n = 8) morphants and (I, I’) RGD-treated embryos (n = 18) at 3 dpf. Ventral
flat mount views are shown for representative embryos in each group, oriented with anterior at the top. Yellow arrowheads indicate chromaffin cell
clusters that failed to converge at the interrenal area in tnnt2a morphants. Broken white lines indicate position of the midline. (J) Schematic
representation of various phenotypic defects associated with interrenal organ assembly. Panels show ventral views of wild-type, mutant, morphant,
and drug-treated embryos at 3 dpf, oriented with anterior at the top. Phenotypes depicted for cloche (clo) and fn1 mutants are based on previous
reports [9,21]. Abbreviations: notochord (NC), the third somite (3S), the fourth somite (4S). doi:10.1371/journal.pone.0107997.g007 The phenotype of the RGD-treated embryo—that is, defective
migration of steroidogenic but not chromaffin cells—was different
from that of the fn1 mutant, in which the migration of both cell
types was compromised (Figs. 7 and 8). Fn regulates the fusion of
bilateral cardiac primordia, and is therefore essential for the
development of myocardial epithelia [41]; thus, fn1 mutants have
impaired cardiac function and consequently, reduced blood flow,
which may cause the aberrant migration of chromaffin cells. Nevertheless, these cell clusters in fn1 mutants were more
dispersed than in tnnt2a morphants (Figure 7J), suggesting that
the presence of Fn ensures that the microenvironment stimulates
chromaffin cell migration prior to the onset of circulation. Trunk
neural crest cells, from which the sympathochromaffin lineage is
derived, migrate along the medial surface of each somite but not
the somite boundary where Fn accumulates [60,61]. However,
disrupted somite formation in the fn1 mutant leads to the
uncoupling of slow- and fast-twitch muscle fibers, and hence a indicating that blood flow regulates these processes through
different pathways. September 2014 | Volume 9 | Issue 9 | e107997 Discussion It
therefore remains to be explored whether Wnt signals are directly
or indirectly regulated by hemodynamic forces and thereby guide
cell migration during interrenal organ assembly. EMT is initiated by transforming, fibroblast, epithelial, and
hepatocyte growth factors as well as the oncogene Harvey rat
sarcoma. During this process, there is a downregulation of
epithelial and concomitant upregulation of mesenchymal markers,
while cells assume a proliferative and migratory character [35]. EMT is similar to the endothelial-to-mesenchymal transition
(EnMT), a critical step in vertebrate heart development in which
endothelial endocardial cells give rise to heart cushion cells that
form the mesenchymal portion of septa and valves [63]. In various
vertebrate models including zebrafish, alterations in hemodynamic
forces during cardiogenesis have profound effects on cardiac
septation and valvulogenesis [3,4,46,64], suggesting that EnMT is
regulated by hemodynamics. The present study underscores a
novel role for hemodynamics in the EMT-like behavior of vessel-
associated
endocrine
cells
via
modulation
of
the
vascular
microenvironment and Fn-pFak signaling. g
g
g
y
It will be of interest to explore whether other morphogens
participate in the interrenal organogenesis. Pregnenolone, a
steroid produced from cholesterol by the steroidogenic enzyme
Cyp11a1, promotes cell migration by activating CLIP-170 and
stabilizing microtubules [69,70]. The function of pregnenolone for
cell movement has been well studied in the zebrafish gastrulation
which is well before the onset of blood flow as well as interrenal
organogenesis. While cyp11a1 is expressed at the zebrafish
interrenal tissue by 1 dpf [18], it remains unclear whether
pregnelolone would also form a morphogen gradient during the
interrenal morphogenetic movement. On the other hand, the
molecular and cellular mechanisms by which blood flow regulates
chromaffin cell migration remain to be explored. In the blood
flow-deficient zebrafish embryo, the expression of endothelial
CXCR4a
is
upregulated
during
collateral
formation
[71]. CXCR4a is the G protein-coupled receptor for the chemokine
stromal cell-derived factor 1 (SDF-1). SDF-1, along with Bone
Morphogenetic
Proteins
(BMPs)
and
Neuregulin
1
of
the
epidermal growth factor family, are the three groups of paracrine
factors that participate in the generation of sympatho-adrenal
progenitors from the neural crest [12,72,73,74]. BMPs are
produced by the DA and are critical for the production of SDF-
1 and Neuregulin 1 in the vicinity of the DA, while SDF-1 and
Neuregulin 1 function as chemoattractants for the migration of
neural crest cells [15]. Discussion The obstruction of blood flow in the zebrafish embryo produced
a phenotype similar to that of the fn1 mutant [19] (Figure 7),
providing evidence that the interrenal Fn-enriched microenviron-
ment is regulated by hemodynamic forces (Figure 4). However,
while blood flow-deficient embryos have similar defects in
steroidogenic and chromaffin cell migration, 20%–30% of fn1
mutants exhibit a more severe phenotype, where the bilateral
fusion of early interrenal tissues is unsuccessful (Figure 7). The
variable expressivity of this phenotype in fn1 mutants could be due
to a more profound effect of Fn deficiency on early development
prior to the onset of blood flow [41,60]. Indeed, early bilateral
interrenal tissues arise in close association with pre-vascular
angioblasts, and their fusion occurs in parallel with the assembly of
axial vasculature independently of the initiation of blood flow
[9,52]. PLOS ONE | www.plosone.org September 2014 | Volume 9 | Issue 9 | e107997 12 Hemodynamic Regulation of Interrenal Gland Assembly Figure 8. Schematic representation of interrenal steroidogenic tissue (IR) and chromaffin cell integration that takes place in the
vicinity of the DA and extending IRV. An Fn-enriched microenvironment promotes medial extension of the steroidogenic tissue and culminates
in steroidogenic-chromaffin interactions on both sides of the midline (left); various defects in extension lead to incomplete assembly of the interrenal
organ (middle and right). D, dorsal; V, ventral; L, left; R, right. Abbreviations: notochord (NC). Somite (S). doi:10.1371/journal.pone.0107997.g008 Figure 8. Schematic representation of interrenal steroidogenic tissue (IR) and chromaffin cell integration that takes place in the
vicinity of the DA and extending IRV. An Fn-enriched microenvironment promotes medial extension of the steroidogenic tissue and culminates
in steroidogenic-chromaffin interactions on both sides of the midline (left); various defects in extension lead to incomplete assembly of the interrenal
organ (middle and right). D, dorsal; V, ventral; L, left; R, right. Abbreviations: notochord (NC). Somite (S). doi:10.1371/journal.pone.0107997.g008 disorganized myofibril pattern [62], which is another factor that
could compromise chromaffin cell migration. In contrast, the
RGD-treatment in this study was initiated at 26 hpf without
evident perturbation of cardiac flow and somite morphology,
which might explain why chomaffin cells migrate normally in
RGD-treated embryos. [67], and is also expressed in the outermost region of the adrenal
cortex, where it may play a role in migration events that segregate
adrenal and gonadal lineages during early development [68]. Supporting Information Figure S1
Effect of norepinephrine on the heart beat of
zebrafish. Norepinephrine treatments resulted in a dose-
dependent increase of heart rate at 33 hpf. The difference
between groups treated with various concentrations of norepi-
nephrine was analyzed by Student’s t-test. *P,0.05, ***P,
0.0005. Figure S1
Effect of norepinephrine on the heart beat of
zebrafish. Norepinephrine treatments resulted in a dose-
dependent increase of heart rate at 33 hpf. The difference
between groups treated with various concentrations of norepi-
nephrine was analyzed by Student’s t-test. *P,0.05, ***P,
0.0005. Figure S2
Interrenal cell migration suppressed by 2,3-
BDM was recovered following the removal of 2,3-BDM. The interrenl tissue stained by 3b-Hsd activity assay in the control
Tg(kdrl: GFP)s843 embryo continued to extend across the midline
from 2.5 dpf (A-A’’) to 3 dpf (C-C’’), while migration of interrenal
cells was repressed by 2,3-BDM treatment at 6 mM from 1.5 to
2.5 dpf (B-B’’) or 3 dpf (D-D’’). Migration of interrenal cells was
recovered at 3 dpf as 2,3-BDM was washed out at 2.5 dpf (E-E’’). Protrusions of extending interrenal tissues (red arrows) were
detected in control as well as recovered embryos. Broken white
lines indicate position of the midline. Abbreviations: glomerulus
(G), posterior cardinal vein (PCV). Scale bar, 50 mm. (TIF) Figure S2
Interrenal cell migration suppressed by 2,3-
BDM was recovered following the removal of 2,3-BDM. The interrenl tissue stained by 3b-Hsd activity assay in the control
Tg(kdrl: GFP)s843 embryo continued to extend across the midline
from 2.5 dpf (A-A’’) to 3 dpf (C-C’’), while migration of interrenal
cells was repressed by 2,3-BDM treatment at 6 mM from 1.5 to
2.5 dpf (B-B’’) or 3 dpf (D-D’’). Migration of interrenal cells was
recovered at 3 dpf as 2,3-BDM was washed out at 2.5 dpf (E-E’’). Protrusions of extending interrenal tissues (red arrows) were
detected in control as well as recovered embryos. Broken white
lines indicate position of the midline. Abbreviations: glomerulus
(G), posterior cardinal vein (PCV). Scale bar, 50 mm. (TIF) Figure S7
Steroidogenic cells display a rise of Vimentin
expression which is induced by hemodynamic forces
and pFak signaling. Vimentin in the steroidogenic tissue
(marked by green fluorescence) of Tg(ff1bEx2: GFP) embryos was
increased from 2 dpf (A-A’) to 2.5 dpf (B-B’). The increase in
Vimentin was not observed in (C, C’) tnnt2a morphants, (D, D’)
RGD-treated embryos, or (E, E’) klf2a or (F, F’) mmp2 morphants. 3. Vermot J, Forouhar AS, Liebling M, Wu D, Plummer D, et al. (2009) Reversing
blood flows act through klf2a to ensure normal valvulogenesis in the developing
heart. PLoS Biol 7: e1000246. Author Contributions Conceived and designed the experiments: YWL. Performed the experi-
ments: CWC YLZ ZYJ YWL. Analyzed the data: CWC YLZ ZYJ YWL. Wrote the paper: YWL. Acknowledgments The authors would like to thank Dr. Christoph Englert, Dr. Woon-Khiong
Chan, and Prof. Didier Stainier for generously providing the zebrafish
strains; Ru Shiangli, Jamie Lin, Yang Huang, Yusyuan Tian, Kuan-Chieh
Wang and Hsin-Yu Hou for excellent technical assistance; Dr. Yi-Ching
Lin for helpful advice on statistical analysis; and the Taiwan Zebrafish
Core Facility, Zebrafish Core in Academia Sinica, and Zebrafish Core
Facility at NTHU-NHRI (ZeTH) for assistance with fish culturing. Figure S5
Effect of RGD treatment on pFAK distribu-
tion in the interrenal region. Transverse sections of Tg(kdrl:
GFP)s843 embryos either untreated (control; n = 6) or treated with
100 mM RGD peptide (n = 10) from 26 hpf and harvested at 2.5
dpf for evaluation of 3b-Hsd activity and pFak level by IHC. Sections are shown of a representative embryo from each group,
oriented with the dorsal side at the top. Abbreviations: interrenal
tissue (IR), notochord (NC), somite (S). The authors would like to thank Dr. Christoph Englert, Dr. Woon-Khiong
Chan, and Prof. Didier Stainier for generously providing the zebrafish
strains; Ru Shiangli, Jamie Lin, Yang Huang, Yusyuan Tian, Kuan-Chieh
Wang and Hsin-Yu Hou for excellent technical assistance; Dr. Yi-Ching
Lin for helpful advice on statistical analysis; and the Taiwan Zebrafish
Core Facility, Zebrafish Core in Academia Sinica, and Zebrafish Core
Facility at NTHU-NHRI (ZeTH) for assistance with fish culturing. Discussion The difference
between 2-dpf control group and any of the other groups was
analyzed by Student’s t-test. *P,0.05, **P,0.005, N.S., not
significant. D, dorsal; V, ventral; L, left; R, right. Abbreviations:
notochord (NC). Scale bar, 25 mm. (TIF) Supporting Information Sections are shown of a representative embryo from each
treatment group. (G) Fluorescence intensity of Vimentin in
ff1bGFP-expressing steroidogenic tissue (ROI marked by orange
lines) is normalized to the size of the cluster, with the number of
embryos indicated in parentheses. The difference between 2-dpf
control group and any of the other groups was analyzed by
Student’s t-test. **P,0.005, N.S., not significant. D, dorsal; V,
ventral; L, left; R, right. Abbreviations: notochord (NC). Scale bar,
25 mm. (TIF) Figure S3
Effects of blood flow inhibition on IRV growth
was reversible following the removal of 2,3-BDM. The
IRV in the control Tg(kdrl: GFP)s843 embryo continued to extend
from 2.5 dpf (A, A’) to 3 dpf (C, C’), while the IRV growth was
repressed by 2,3-BDM treatment at 6 mM from 1.5 to 2.5 dpf (B,
B’) or 3 dpf (D, D’). Extension of IRV was recovered at 3 dpf as
2,3-BDM was washed out at 2.5 dpf (E, E’). The interrenal tissue
(IR) was detected by 3b-Hsd acitivity assay. D, dorsal; V, ventral;
L, left; R, right. Broken yellow lines indicate position of the
midline. Abbreviations: notochord (NC), somite (S). Scale bar,
50 mm. (TIF) Video S1
Complete blockage of blood flow in the
posterior cardinal vein of a 36-hpf embryo treated with
6 mM 2,3-BDM. (WMV) Figure S4
Effect of L-NAME on morphogenetic move-
ments
of
interrenal
steroidogenic
tissue
and
IRV
formation. (A–A’’) Tg(kdrl: GFP)s843 embryos treated with
100 mM L-NAME from 1.5 dpf onwards had interrenal steroido-
genic tissue (IR) morphology (orange arrows) and (B–B’’) IRV
length similar to control embryos (Figure 3A, A’, D) at 2.5 dpf
(n = 8). The activity of endothelial NO synthase was inhibited by L-
NAME at concentrations higher than 10 mM [50]. D, dorsal; V,
ventral; L, left; R, right. Abbreviations: posterior cardinal vein
(PCV). Scale bar, 50 mm. (TIF) Video S2
Normal blood flow in the posterior cardinal
vein of a wild-type 36-hpf embryo. (WMV) Video S3
Partial reduction in blood flow in the poste-
rior cardinal vein of a 36-hpf embryo treated with 2 mM
2,3-BDM. 2. Pelster B, Burggren WW (1996) Disruption of hemoglobin oxygen transport does
not impact oxygen-dependent physiological processes in developing embryos of
zebra fish (Danio rerio). Circ Res 79: 358–362. Discussion It will therefore be intriguing to examine
whether a loss of blood flow would influence the activity of SDF-1
through upregulating CXCR4a expression. In addition to being an epithelial cell marker, b-Catenin also
transduces canonical Wnt signals and is implicated in cell
proliferation [65]. Cytoplasmic b-Catenin is stabilized upon
activation of Wnt signaling, leading to its translocation to the
nucleus, where it interacts with T-cell factors (TCFs) to stimulate
the
transcription
of
target
genes. There
was
no
obvious
enrichment of nuclear b-Catenin detected in steroidogenic cells
during interrenal organ assembly (Figure 6), and it is possible that
canonical Wnt signaling is not involved in zebrafish interrenal
development. Nevertheless, Wnt4 can inhibit b-Catenin/TCF
signaling by redirecting nuclear b-Catenin to the membrane [66]. During mammalian sex differentiation, Wnt4 inhibits the migra-
tion of endothelial and steroidogenic cells into the female gonad September 2014 | Volume 9 | Issue 9 | e107997 September 2014 | Volume 9 | Issue 9 | e107997 PLOS ONE | www.plosone.org 13 Hemodynamic Regulation of Interrenal Gland Assembly Hemodynamic Regulation of Interrenal Gland Assembly forces and pFak signaling. E-cadherin in the fluorescent
steroidogenic tissue of Tg(ff1bEx2: GFP) embryos was decreased
from 2 dpf (A-A’) to 2.5 dpf (B-B’). The decrease in E-cadherin was
not observed in (C, C’) tnnt2a morphants, (D, D’) RGD-treated
embryos, or (E, E’) klf2a or (F, F’) mmp2 morphants. Sections are
shown of a representative embryo from each treatment group. (F)
Fluorescence
intensity
of
E-cadherin
in
ff1bGFP-expressing
steroidogenic tissue is normalized to the size of the cluster, with
the number of embryos indicated in parentheses. The difference
between 2-dpf control group and any of the other groups was
analyzed by Student’s t-test. *P,0.05, **P,0.005, N.S., not
significant. D, dorsal; V, ventral; L, left; R, right. Abbreviations:
notochord (NC). Scale bar, 25 mm. (TIF) forces and pFak signaling. E-cadherin in the fluorescent
steroidogenic tissue of Tg(ff1bEx2: GFP) embryos was decreased
from 2 dpf (A-A’) to 2.5 dpf (B-B’). The decrease in E-cadherin was
not observed in (C, C’) tnnt2a morphants, (D, D’) RGD-treated
embryos, or (E, E’) klf2a or (F, F’) mmp2 morphants. Sections are
shown of a representative embryo from each treatment group. (F)
Fluorescence
intensity
of
E-cadherin
in
ff1bGFP-expressing
steroidogenic tissue is normalized to the size of the cluster, with
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Two-dimensional and multi-channel feature detection algorithm for the CALIPSO lidar measurements
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To cite this version: Thibault Vaillant de Guélis, Mark Vaughan, David Winker, Zhaoyan Liu. Two-dimensional and multi-
channel feature detection algorithm for the CALIPSO lidar measurements. Atmospheric Measurement
Techniques, 2021, 14 (2), pp.1593-1613. 10.5194/amt-14-1593-2021. hal-03711297 Two-dimensional and multi-channel feature detection algorithm for
the CALIPSO lidar measurements
Thibault Vaillant de Guélis1,2, Mark A. Vaughan3, David M. Winker3, and Zhaoyan Liu3
1NASA Postdoctoral Program Fellow, NASA, Langley Research Center, Hampton, VA 23681, USA
2Science Systems and Applications, Inc., Hampton, VA 23666, USA
3NASA Langley Research Center, Hampton, VA 23681, USA orrespondence: Thibault Vaillant de Guélis (thibault.vaillantdeguelis@outlook.com) Received: 14 September 2020 – Discussion started: 29 September 2020
Revised: 22 December 2020 – Accepted: 29 December 2020 – Published: 26 February 2021 Received: 14 September 2020 – Discussion started: 29 September 2020
Revised: 22 December 2020 – Accepted: 29 December 2020 – Published: 26 February 2021 Abstract. In this paper, we describe a new two-dimensional
and multi-channel feature detection algorithm (2D-McDA)
and demonstrate its application to lidar backscatter measure-
ments from the Cloud-Aerosol Lidar and Infrared Pathfinder
Satellite Observations (CALIPSO) mission. Unlike previous
layer detection schemes, this context-sensitive feature finder
algorithm is applied to a 2-D lidar “scene”, i.e., to the im-
age formed by many successive lidar profiles. Features are
identified when an extended and contiguous 2-D region of
enhanced backscatter signal rises significantly above the ex-
pected “clear air” value. Using an iterated 2-D feature de-
tection algorithm dramatically improves the fine details of
feature shapes and can accurately identify previously un-
detected layers (e.g., subvisible cirrus) that are very thin
vertically but horizontally persistent. Because the algorithm
looks for contiguous 2-D patterns using successively lower
detection thresholds, it reports strongly scattering features
separately from weakly scattering features, thus potentially
offering improved discrimination of juxtaposed cloud and
aerosol layers. Moreover, the 2-D detection algorithm uses
the backscatter signals from all available channels: 532 nm
parallel, 532 nm perpendicular and 1064 nm total. Since the
backscatter from some aerosol or cloud particle types can
be more pronounced in one channel than another, simulta-
neously assessing the signals from all channels greatly im-
proves the layer detection. For example, ice particles in sub-
visible cirrus strongly depolarize the lidar signal and, con-
sequently, are easier to detect in the 532 nm perpendicular
channel. Use of the 1064 nm channel greatly improves the
detection of dense smoke layers, because smoke extinction at
532 nm is much larger than at 1064 nm, and hence the range- dependent reduction in lidar signals due to attenuation oc-
curs much faster at 532 nm than at 1064 nm. Moreover, the
photomultiplier tubes used at 532 nm are known to generate
artifacts in an extended area below highly reflective liquid
clouds, introducing false detections that artificially lower the
apparent cloud base altitude, i.e., the cloud base when the
cloud is transparent or the level of complete attenuation of
the lidar signal when it is opaque. Two-dimensional and multi-channel feature detection algorithm for
the CALIPSO lidar measurements
Thibault Vaillant de Guélis1,2, Mark A. Vaughan3, David M. Winker3, and Zhaoyan Liu3
1NASA Postdoctoral Program Fellow, NASA, Langley Research Center, Hampton, VA 23681, USA
2Science Systems and Applications, Inc., Hampton, VA 23666, USA
3NASA Langley Research Center, Hampton, VA 23681, USA By adding the informa-
tion available in the 1064 nm channel, this new algorithm can
better identify the true apparent cloud base altitudes of such
clouds. 1
Introduction The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite
Observation (CALIPSO) mission (Winker et al., 2010) has
provided direct measurements of cloud and aerosol vertical
distributions with a very high vertical resolution since 2006. A key component of these measurements is made by the ac-
tive remote sensing instrument CALIOP (Cloud-Aerosol Li-
dar with Orthogonal Polarization), a two-wavelength (532
and 1064 nm) polarization-sensitive elastic backscatter lidar. The knowledge of the cloud and aerosol vertical distribu-
tions and their properties is critical in assessing the planet’s
radiation budget (e.g., Shonk and Hogan, 2010), in eval-
uating the atmospheric radiative heating rate (e.g., Huang
et al., 2009) and for advancing our understanding of cloud–
climate feedback cycles that occur as the climate warms (e.g.,
Tsushima et al., 2006). The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite
Observation (CALIPSO) mission (Winker et al., 2010) has
provided direct measurements of cloud and aerosol vertical
distributions with a very high vertical resolution since 2006. A key component of these measurements is made by the ac-
tive remote sensing instrument CALIOP (Cloud-Aerosol Li-
dar with Orthogonal Polarization), a two-wavelength (532
and 1064 nm) polarization-sensitive elastic backscatter lidar. The knowledge of the cloud and aerosol vertical distribu-
tions and their properties is critical in assessing the planet’s
radiation budget (e.g., Shonk and Hogan, 2010), in eval-
uating the atmospheric radiative heating rate (e.g., Huang
et al., 2009) and for advancing our understanding of cloud–
climate feedback cycles that occur as the climate warms (e.g.,
Tsushima et al., 2006). HAL Id: hal-03711297
https://hal.science/hal-03711297v1
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https://doi.org/10.5194/amt-14-1593-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License. 2
Threshold-based feature detection Atmospheric lidars measure attenuated signal backscattered
by molecules (m) and particles (p): To locate cloud and aerosol layers within lidar backscat-
ter profiles, two main approaches are generally employed:
the slope-based method, which looks for zero crossings in
the first derivative of the raw signal (e.g., Pal et al., 1992)
and threshold-based methods, which search for regions ex-
ceeding some expectation of the maximum signal value that
could be measured in “clear air” (e.g., Winker and Vaughan,
1994; Clothiaux et al., 1998; Campbell et al., 2008). Some
studies use a combination of both methods (e.g., Wang and
Sassen, 2001; Lewis et al., 2016). A few others adopt a
third method: the wavelet analysis (e.g., Davis et al., 2000;
Brooks, 2003). Because these layer detection algorithms are
applied successively to individual 1-D profiles (either single
shot or averaged), we define them collectively as “profile-
based processes”. We also define a second, more comprehen-
sive class of methods as “scene processes”. Scene processes
can take advantage of the contextual information provided
by a continuous series of profile measurements by searching
for cloud and aerosol patterns in the two-dimensional (2-D)
image formed by successive lidar profiles. While edge de-
tection techniques based on 2-D gradient search routines are
not well suited for spatial analysis of lidar data (Vaughan
et al., 2005), methods based on sliding window operations
have been shown to greatly improve the feature shape detec-
tion (e.g., Hagihara et al., 2010; van Zadelhoff et al., 2011;
Herzfeld et al., 2014). β′(r) =
βm(r) + βp(r)
Tm(r)2TO3(r)2Tp(r)2,
(1) (1) β′(r) =
βm(r) + βp(r)
Tm(r)2TO3(r)2Tp(r)2, where βm(r) and βp(r) are the volume backscatter coeffi-
cients for molecules and particulates, and Tm(r)2, TO3(r)2
and Tp(r)2 are, respectively, the two-way transmittances for
molecules, ozone and particles, and r is the range from the
satellite altitude. If there are no particles in the atmosphere,
Eq. (1) reduces to the molecular attenuated backscatter coef-
ficient: β′
m(r) = βm(r)Tm(r)2TO3(r)2. (2) (2) A feature, i.e., a cloud or an aerosol layer, appears as
an extended and contiguous region of enhanced attenuated
backscatter signal that rises significantly above the expected
clear-sky (molecules only) value. However, not all signals
that exceed the expected values of \
β′m(r) necessarily indicate
the presence of features; instead, such excursions are often
caused by noise. T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 1594 The critically important first step in retrieving the spatial
and optical properties of clouds and aerosols is to determine
where these “features” are located in the vertical, curtain-
like images (altitude vs. satellite track) of the backscattered
lidar signals (Fig. 1). The CALIPSO feature detection al-
gorithms were first developed for ground-based observa-
tions and then adapted for space-based analyses using LITE
measurements and CALIPSO simulations. These algorithms,
which were conceived more than 25 years ago (e.g., Winker
and Vaughan, 1994), at a time when computational power
was considerably lower than what is now available, are in-
voked sequentially on single, one-dimensional (1-D) lidar
signal profiles (possibly generated from averaging data from
several consecutive laser pulses). Moreover, in order to min-
imize the computational load, the current CALIPSO algo-
rithm is only applied to the 532 nm total signal (Vaughan
et al., 2009). Section 2 presents a refined method for determining fea-
ture detection thresholds, which are a critically important
component of the detection algorithm. Section 3 presents the
detection algorithm. The detection of the Earth’s surface is
described first as it is performed first and separately from the
cloud and aerosol detection. This has been shown to have
many practical advantages. Then, the cloud and aerosol de-
tection algorithm is described. Finally, the detections from
each channel are merged into a composite feature detection
mask. Section 4 shows how this new algorithm improves the
feature detection compared to the CALIPSO version 4 verti-
cal feature mask (VFM). https://doi.org/10.5194/amt-14-1593-2021 2
Threshold-based feature detection \
1β′m(r) is esti-
mated using its proportional relation with the square root of
\
β′m(r) (e.g., Liu and Sugimoto, 2002), called the “noise scale
factor” (NSF): where 1β′
b(r) is the standard deviation due to background
noise (range independent1), \
1β′m(r) is the expected standard
deviation due to the shot noise (range dependent) in the ex-
pected clear sky, and N(r) is the number of bins averaged on-
board. The fcorr(r) term is a correction function which takes
into account the partial vertical correlation in samples due to
the limited electronic bandwidth and the shifting and rebin-
ning that can occur in the altitude registration phase of the
level 1A processing (details in Appendix A). The number
of shot noise standard deviations considered in the thresh-
old is quantified by the factor k, which can be tuned accord-
ing to the degree of sensitivity needed to avoid false detec-
tions. \
β′m(r) is derived from modeled profiles of molecular
and ozone number densities. 1β′
b(r) is derived from the on-
board computation of the rms of the background signal in
the high-altitude background region (HABR) between 65 and
80 km for each shot (Hostetler et al., 2006). \
1β′m(r) is esti-
mated using its proportional relation with the square root of
\
β′m(r) (e.g., Liu and Sugimoto, 2002), called the “noise scale
factor” (NSF): Figure 2. Range-dependent threshold (red) applied to a single-shot
lidar signal profile (blue) in clear sky during nighttime. The esti-
mated molecular signal is shown in black. Jumps in the lidar signal
and threshold at −0.5, 8.2 and 20.2 km reveal the change of onboard
averaging resolution. The NSF is evaluated from the solar background signal
during daytime for the 532 nm parallel and perpendicu-
lar channels (Hostetler et al., 2006; Liu et al., 2006). At
1064 nm, CALIOP uses an avalanche photodiode (APD) de-
tector rather than the photomultiplier tubes (PMTs) that are
used for the 532 nm channels. Because the APD dark noise
overwhelms the 1064 nm shot noise, only the background
noise is considered at 1064 nm. Figure 2 shows the range-dependent threshold (red) com-
puted from Eq. (3) with k = 2 applied to the 532 nm par-
allel lidar signal (blue) for a clear-sky case study during
nighttime. Note the noise due to the quantum nature of pho-
tons (shot noise) in this figure. 2
Threshold-based feature detection To distinguish features from the ambient
(but noisy) clear-sky signals, a first step is to determine a
threshold above which signals can be confidently attributed
to enhanced scattering arising from clouds or aerosols. We
construct this threshold by first calculating the expected
molecular attenuated backscatter, \
β′m(r), to which we add k
times the expected noise-induced standard deviation of the
molecular signal. The resulting range-dependent threshold
is the sum of \
β′m(r) and, based on error propagation theory
(e.g., Bevington and Robinson, 2003), k times the root mean
square (rms) of the standard deviations due to both range-
independent and range-dependent noise sources. Here, we propose a new 2-D and multi-channel feature de-
tection algorithm (2D-McDA). This “context-sensitive” fea-
ture finder algorithm is then applied to a 2-D lidar sig-
nal scene, i.e., to the image formed by many successive li-
dar profiles. Moreover, the 2-D detection algorithm uses the
backscatter signals from all available channels: the 532 nm
co-polarized (or parallel) signal, the 532 nm cross-polarized
(or perpendicular) signal and the 1064 nm signal. Since the
backscatter from some aerosol or cloud particle types can
be more pronounced in one channel than another, simultane-
ously assessing the signals from all channels is expected to
greatly improve the layer detection. In constructing thresholds to be applied to CALIOP data,
one must take into account the onboard signal averaging
that is applied to the backscatter measurements. Because
the CALIPSO satellite has limited telemetry bandwidth, the
backscatter data are averaged both vertically and horizontally
before the data are downlinked from the satellite, with in-
creasing amounts of averaging applied to data acquired at https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 1595 Figure 1. Curtain of attenuated backscatter signal measured by CALIOP in the 532 nm parallel channel during nighttime observations on
31 August 2018, 21:46:37 UTC (start point), over the Arabian Sea. backscatter signal measured by CALIOP in the 532 nm parallel channel during nighttime observations on
(start point), over the Arabian Sea. Figure 1. Curtain of attenuated backscatter signal measured by CALIOP in the 532 nm parallel channel during nighttime observations on
31 August 2018, 21:46:37 UTC (start point), over the Arabian Sea. Figure 2. Range-dependent threshold (red) applied to a single-shot
lidar signal profile (blue) in clear sky during nighttime. The esti-
mated molecular signal is shown in black. 1The background noise is range- independent in the digitizer-
reading domain P . However, it then depends on r when transformed
to the β′ domain. 2
Threshold-based feature detection Jumps in the lidar signal
and threshold at −0.5, 8.2 and 20.2 km reveal the change of onboard
averaging resolution. higher altitudes (Hunt et al., 2009). As an example, signals
acquired between 8.2 and 20.2 km are averaged horizontally
over three consecutive lidar pulses and vertically for four
full-resolution (15 m) range bins. Consequently, the down-
linked profile data from within this region have been aver-
aged over 12 full-resolution onboard range bins. We com-
pute a range-dependent threshold specifically tailored for the
CALIOP profiles using higher altitudes (Hunt et al., 2009). As an example, signals
acquired between 8.2 and 20.2 km are averaged horizontally
over three consecutive lidar pulses and vertically for four
full-resolution (15 m) range bins. Consequently, the down-
linked profile data from within this region have been aver-
aged over 12 full-resolution onboard range bins. We com-
pute a range-dependent threshold specifically tailored for the
CALIOP profiles using β′
T(r) = \
β′m(r) + k fcorr(r)
√N(r)
r
1β′
b(r)2 + \
1β′m(r)
2,
(3) (3) (3) where 1β′
b(r) is the standard deviation due to background
noise (range independent1), \
1β′m(r) is the expected standard
deviation due to the shot noise (range dependent) in the ex-
pected clear sky, and N(r) is the number of bins averaged on-
board. The fcorr(r) term is a correction function which takes
into account the partial vertical correlation in samples due to
the limited electronic bandwidth and the shifting and rebin-
ning that can occur in the altitude registration phase of the
level 1A processing (details in Appendix A). The number
of shot noise standard deviations considered in the thresh-
old is quantified by the factor k, which can be tuned accord-
ing to the degree of sensitivity needed to avoid false detec-
tions. \
β′m(r) is derived from modeled profiles of molecular
and ozone number densities. 1β′
b(r) is derived from the on-
board computation of the rms of the background signal in
the high-altitude background region (HABR) between 65 and
80 km for each shot (Hostetler et al., 2006). T. Vaillant de Guélis et al.: 2D-McDA for CALIOP T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 1596 Figure 3. Pixels of Fig. 1 where the lidar signal is above the range-
dependent threshold computed from Eq. (3) with k = 2 are shown
in orange. Brown pixels show surface detection. first an independent detection of the Earth’s surface. Doing
the surface detection in a first and separate step allows a bet-
ter retrieval of the surface echo and prevents complications in
the cloud and aerosol layer detection process. Also, knowing
where the surface is detected allows subsequent separation
of semi-transparent features from opaque features, which is
essential for accurately estimating range-resolved profiles of
extinction coefficients (Young et al., 2018). Operationally,
atmospheric features are defined as being opaque when no
surface return or other atmospheric feature can be detected
below them. From this definition, it follows that the signals
received from beneath opaque features have been fully at-
tenuated within these features. The Earth surface detection
algorithm used here is closely akin to the one described in
Vaughan et al. (2021) and is applied to the 532 nm paral-
lel and 1064 nm channels (details in Appendix B). The sig-
nals from the top of the detected surface echo and below this
point are removed from the data. To minimize computation
times, the surface detection algorithm is not applied to the
532 nm perpendicular channel signal. The backscatter from
ocean surfaces (covering ∼70 % of the planet) does not de-
polarize and, excluding snow and ice, the depolarization of
most land surfaces is relatively low (Lu et al., 2017); hence,
the preponderance of the surface backscatter is in the paral-
lel channel. The altitude retrieved in the parallel channel is
used to remove the signal at and below the estimated surface
altitude in the perpendicular channel. Note that there is some
small chance that a surface echo can appear in the perpen-
dicular channel but not be visible or detected in the parallel
channel. The detection of the surface corresponding to Fig. 1
is shown in brown in Fig. 3. Figure 3. Pixels of Fig. 1 where the lidar signal is above the range-
dependent threshold computed from Eq. (3) with k = 2 are shown
in orange. Brown pixels show surface detection. Jumps at −0.5, 8.2 and 20.2 km reveal the change of onboard
averaging resolution. 3.2
Cloud and aerosol detection (6) The detection of cloud and aerosol layers in a single channel
curtain of lidar measurements takes place in four main steps: Equation (6) is applied to the three lidar channels (532 nm
parallel, 532 nm perpendicular and 1064 nm) during the 2D-
McDA process. 1. detecting strong features, i.e., identifying contiguous re-
gions of enhanced attenuated scattering ratios that rise
above the feature detection threshold (which is repeat-
edly decreased from a very large value of k down to k =
1) without applying any signal averaging (i.e., d = 1–4
in Table 1, Sect. 3.2.1); T. Vaillant de Guélis et al.: 2D-McDA for CALIOP However, a few points of the lidar sig-
nal still exceed the threshold. Some continuity tests are then
needed to determine whether these high signals are due to
noise or instead part of an extended feature. Unlike the cur-
rent CALIPSO detection algorithm, this continuity test will
be applied in two dimensions. Figure 3 shows all pixels of
Fig. 1 where the lidar signal is above the range-dependent
threshold computed from Eq. (3) with k = 2. p
q
Like the current CALIOP layer detection algorithm, the
2D-McDA is applied to profiles of attenuated scattering ra-
tios, defined as R′(r) = β′(r)
β′m(r). (5) (5) The attenuated scattering ratio threshold is then obtained
from R′
T(r) = β′
T(r)
\
β′m(r)
= 1 + k fcorr(r)
√N(r)
v
u
u
t
1
\
β′m(r)
2 1β′
b(r)2 + NSF2
β′
1
\
β′m(r)
. (6) 3
2-D and multi-channel feature detection algorithm The 2D-McDA is applied to the scattering ratio signals at
532 nm parallel, 532 nm perpendicular and 1064 nm. First,
the detection of the surface altitude is performed and the sig-
nal from this altitude and below is removed from the data. Second, the detection of cloud and aerosol layers is done in
each channel based on iterated detection thresholds and 2-
D spatial continuity tests. Finally, the masks from the three
channels are merged in a composite feature mask. 2. flagging regions below opaque features as “fully attenu-
ated” (FA) and regions below transparent features where
the signal is strongly attenuated with the low confidence
flag “almost fully attenuated” (AFA) (Sect. 3.2.2); 3. averaging of those signals not already flagged using a
horizontal sliding window (Sect. 3.2.3); and 4. detecting faint features; features are once again identi-
fied as contiguous regions of enhanced signal (i.e., av-
eraged attenuated scattering ratios) that rise above the
recomputed feature detection threshold (Sect. 3.2.1). 2
Threshold-based feature detection Indeed, although background
noise, mainly due to solar radiation, is quite low during night-
time, the lidar signal shows large variations around the ex-
pected clear-sky return (black). The range-dependent thresh-
old correctly keeps most the signal below the detection level. \
1β′m(r) = NSFβ′
q
\
β′m(r). (4) (4) 1The background noise is range- independent in the digitizer-
reading domain P . However, it then depends on r when transformed
to the β′ domain. https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 3.1
Surface detection Before detecting cloud and aerosol layers using the detection
threshold as described in the previous section, we perform Atmos. Meas. Tech., 14, 1593–1613, 2021 https://doi.org/10.5194/amt-14-1593-2021 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 1597 Figure 4. Flowchart of the two-dimensional and multi-channel feature detection algorithm (2D-McDA). d is the detection step, k is the
number of total noise standard deviations used in the detection threshold Eq. (3), s is the size of the window used for the spatial coherence
test, n is the minimum number of pixels in each pattern, and a is the size of the averaging window. See the algorithm description in Sect. 3
and the coefficient values in Table 1. Figure 4. Flowchart of the two-dimensional and multi-channel feature detection algorithm (2D-McDA). d is the detection step, k is the
number of total noise standard deviations used in the detection threshold Eq. (3), s is the size of the window used for the spatial coherence
test, n is the minimum number of pixels in each pattern, and a is the size of the averaging window. See the algorithm description in Sect. 3
and the coefficient values in Table 1. standard deviation with k = 2 (Fig. 5a; orange pixels). Then,
the second substep is to apply a spatial coherence test win-
dow (rows a in Table 1) on these detected pixels (Fig. 5a, b). Here, an 11 × 11 pixels window is applied to each pixel of
the image, with the window being centered successively on
all pixels. If the number of originally detected pixels in the
window is greater than half of the total number of pixel in the
window (≥61 for a 11 × 11 pixels window), then the center
pixel is considered to be detected. If not, the center pixel is
considered to be undetected. In this smoothing step, the de-
termination of detection status does not rely on a single pixel
exceeding its threshold but instead on the fraction of neigh-
boring pixels that exceed their thresholds. Consequently, a
pixel classified as detected may not itself exceed the de-
tection threshold. Similarly, a pixel that exceeds the thresh-
old may not ultimately be classified as detected. The pixel
count within the window is limited to those detected at the
current detection level d and at the previous detection level
d −1. 3.1
Surface detection This allows detection continuity of similar backscatter
intensities and avoids connecting noise encountered during
fainter detections to a strong feature detected earlier. Other
flagged pixels (i.e., “surface”, detection ≤d −2, “likely arti-
fact”, “fully attenuated”, “almost fully attenuated” and “low
confidence small strips” (to be described in detail later in
this section and Sect. 3.2.2) and pixels outside the window
when the top or bottom edges of the image are not consid-
ered in the window and the total number of candidate pix-
els in the window is decreased accordingly. The shapes of
detected features are smoothed by the spatial coherence test
window, while the noise (isolated orange pixel) is removed. However, some small clusters of pixels sometimes persist. Those small clusters cannot be confidently declared as fea-
tures at this stage. They can be due to noise or they can be
part of a larger, fainter feature. Then, we decide not to con-
sider these small patterns as detected features and retain these
regions for inclusion in the signal averaging used in succes-
sive iterations of the algorithm. To be declared as detected
features, smoothed detected patterns need to consist of more Figure 4 shows the flowchart of the whole detection algo-
rithm. The parameter values used at the different detection
levels are given in Table 1. The following subsections give the details of the main
steps presented above. Atmos. Meas. Tech., 14, 1593–1613, 2021 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP Table 1. Coefficient k in threshold detection, spatial coherence test window size s, minimum number of pixels in pattern n and averaging
window size a used at each detection level d. Window sizes are given in vertical × horizontal pixel counts, with a single pixel resolution of
30 m × 0.33 km. Table 1. Coefficient k in threshold detection, spatial coherence test window size s, minimum number of pixels in pattern n and averaging
window size a used at each detection level d. Window sizes are given in vertical × horizontal pixel counts, with a single pixel resolution of
30 m × 0.33 km. d
1
2
3
4
5
532 nm parallel
k
100
20
2
1
1
s
–
–
11 × 11
3 × 21
9 × 51
(330 m × 3.67 km)
(90 m × 7 km)
(270 m × 17 km)
n
1
1
60
200
10 000
a
–
–
–
–
1 × 15
(30 m × 5 km)
532 nm perpendicular
k
500
100
2
1
1
s
–
–
11 × 11
3 × 21
9 × 51
(330 m × 3.67 km)
(90 m × 7 km)
(270 m × 17 km)
n
1
1
60
200
1000
a
–
–
–
–
1 × 15
(30 m × 5 km)
1064 nm
k
–
20
2
1
1
s
–
–
11 × 11
3 × 21
9 × 51
(330 m × 3.67 km)
(90 m × 7 km)
(270 m × 17 km)
n
–
1
60
200
10 000
a
–
–
–
–
1 × 15
(30 m × 5 km) initial scan is to identify the tops of very strongly scattering
liquid clouds and ice clouds containing high fractions of hor-
izontally oriented ice (HOI) crystals. The non-ideal transient
response by PMTs following these very strong signals often
generates a spurious, exponentially decaying signal enhance-
ment in the underlying range bins (McGill et al., 2007; Hunt
et al., 2009; Lu et al., 2020). The presence of these “noise
tails” in the 532 nm signals can introduce large biases into the
determination of the apparent bases of opaque water clouds. To exclude this artifact in the detection process, the 600 m
below the base of the detected very strong signal are flagged
as “likely artifact” and removed from the signal. T. Vaillant de Guélis et al.: 2D-McDA for CALIOP Since the
APD used in 1064 nm channel does not produce these noise
tails, we rely on the 1064 nm channel for the detection of the
apparent base of these strongly scattering layers. than n connected pixels (see Table 1); otherwise, they are re-
moved from this detection level. This detection procedure is applied several times (the suc-
cessive detection level d of Table 1) with different thresholds,
different spatial coherence test windows s and different lim-
its on the number of connected pixels required n (Table 1) in
order to detect all layers from the most evident, very strong
patterns to the very faint ones and from geometrically small
patterns to very extended ones. Note that the horizontal spa-
tial coherence test window (3 × 21) enables the detection of
faint but horizontally extended cirrus such as the layer shown
between 50 and 100 km in Fig. 1. The detection of this sub-
visible cirrus is presented in Fig. 6. Figure 6a–b show the
implementation of the 3 × 21 spatial coherence test window. We see that the cirrus pattern is smoothed and now clearly ap-
pears in Fig. 6b due to the fact that most of the noise around
has been removed. However, many small clusters of noise
pixels persist. By applying the minimum numeric threshold
of connected pixel n on the detected pattern, we are able to
remove small clusters due to noise while keeping the real cir-
rus (Fig. 6c). After detection of the strongest features, i.e., without sig-
nal averaging (d = 1−4 in Table 1), we flag all pixels below
a detected strong feature where the surface has not been de-
tected as “fully attenuated” (FA). In this portion of the pro-
file, the signal is too weak to be further exploited. Second,
the contiguous pixels located in the vertical extent between
two detected features are flagged as “almost fully attenuated”
(AFA) whenever the backscatter intensity falls below an em-
pirically determined threshold. For the 532 nm parallel chan-
nel, these pixels are flagged as AFA when more than 30 % 3.2.1
Detection The detection phase is performed following three substeps: 1. All pixels within the image that exceed the threshold are
first flagged as detected (Fig. 3). 2. A spatial coherence test window is applied to the im-
age of detected versus undetected pixels. It smooths the
shape of detected pattern and removes isolated noisy de-
tected pixels by turning some of detected pixels to un-
detected or undetected to detected. 3. Smoothed patterns are required to meet a minimum nu-
meric threshold of contiguous pixels. Patterns that fail
to meet this threshold are removed from consideration
for this level of detection. The scattering ratio image used in the layer detection
scheme has a spatial resolution of one laser pulse horizon-
tally and 30 m vertically, equivalent to the finest spatial res-
olution of the CALIOP data. As described in Hunt et al. (2009), CALIOP data are averaged aboard the satellite with
spatial resolutions that vary according to altitude. Scattering
ratios in regions where the data resolution is coarser than
the image resolution (30 m × 0.33 km horizontally) are du-
plicated as necessary to match the image resolution. For ex-
ample, between 8.2 and 20.2 km, the spatial resolution of the
signal is 1 km horizontally ×60 m vertically. These values
are replicated 12 times to populate the corresponding area
in the 30 m × 0.33 km scattering ratio image. The first sub-
step is then to flag all pixels of this image which exceed the
detection threshold given by Eq. (6) with the value of k de-
fined in Table 1. For example, for the 532 nm parallel chan-
nel, at the detection level d = 3, the detected pixels are those
where the signal is greater than 1+k times the expected noise Atmos. Meas. Tech., 14, 1593–1613, 2021 https://doi.org/10.5194/amt-14-1593-2021 1598 https://doi.org/10.5194/amt-14-1593-2021 3.2.2
Special flags For the 532 nm channels, a first detection of a very strong
signal is performed (see d = 1 in Table 1). The aim of this Atmos. Meas. Tech., 14, 1593–1613, 2021 https://doi.org/10.5194/amt-14-1593-2021 1599 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP Figure 5. Illustration of the spatial coherence test window substep of 2D-McDA on the 532 nm parallel channel for the case study shown in
Fig. 1. (a) Pixels which are over the detection threshold given by Eq. (6) with the value of k = 2 (orange). (b) Result after applying a 11×11
spatial coherence test window on the detected pixels. Note that the insert at the top is just an illustration and does not show the real content
of the image portion. Figure 5. Illustration of the spatial coherence test window substep of 2D-McDA on the 532 nm parallel channel for the case study sh Figure 5. Illustration of the spatial coherence test window substep of 2D-McDA on the 532 nm parallel channel for the case study shown in
Fig. 1. (a) Pixels which are over the detection threshold given by Eq. (6) with the value of k = 2 (orange). (b) Result after applying a 11×11
spatial coherence test window on the detected pixels. Note that the insert at the top is just an illustration and does not show the real content
of the image portion. After removing all data identified with these low confi-
dence flags from the attenuated scattering ratios, the signal is
averaged in order to try to detect fainter features. of the population has backscatter intensities that are less than
10 % of the corresponding detection thresholds. These pix-
els are flagged as AFA in the 532 nm perpendicular channel
whenever the signals in more than 90 % of the population
fall below (100 % of) the corresponding threshold values. To
be flagged as AFA in the 1064 nm channel, more than 85 %
of the population must have a signal less than (100 %) of
the corresponding threshold. In all cases, the AFA thresholds
were determined experimentally and are tunable. Finally, the
horizontal distance between successive (A)FA columns can
be very small and the likelihood of confidently detecting fea-
tures in these narrow gaps is very low. 3.2.2
Special flags For this reason, the
data in all horizontal extents smaller than 5 km (15 profiles)
that lie between (A)FA columns are flagged as “low confi-
dence small strips”. Atmos. Meas. Tech., 14, 1593–1613, 2021 3.2.3
Signal averaging We then average the remaining signal (here the attenuated
scattering ratios) using a Gaussian sliding window that ex-
tends over 5 km (15 profiles) horizontally and a single range
bin vertically (a in Table 1). Using a sliding window, instead
of the fixed window used in the CALIOP feature detection al-
gorithm, provides much improved resolution of the horizon-
tal edges’ position of faint features (0.33 km instead of 5, 20,
or 80 km) and makes it possible to detect non-uniform hor-
izontal edges. A Gaussian weight with a standard deviation
of 1.67 km is applied, thus giving a stronger weight to pixels
closer to center of the window than at the edges. We chose
a horizontal window here because the spatial extent of very https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 1600 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP lustration of the horizontal spatial coherence test window substep and the pattern size threshold rejection substep of 2D
nm parallel channel for the case study shown in Fig. 1. (a) Pixels which are over the detection threshold given by Eq. (
k = 1 (orange). (b) Result after applying a 3×21 spatial coherence test window on the detected pixels. (c) Result after r
composed by less than n = 200 pixels (note that the insert at the top is just an illustration and does show the real conten
on). Before these substeps, surface is detected first (brown); then, a very strong signal (k = 100) occurring on highly re
ds is detected (black) and the 600 m below is flagged as “likely artifact” (gray), as it is the region where we see artifacts du
se of photomultiplier tubes (PMTs) in the 532 nm channels. Two detections were also made: one with k = 20 and anoth
× 11 spatial coherence test window and n = 60. Figure 6. Illustration of the horizontal spatial coherence test window substep and the pattern size threshold rejection substep of 2D-McDA
on the 532 nm parallel channel for the case study shown in Fig. 1. (a) Pixels which are over the detection threshold given by Eq. (6) with
the value of k = 1 (orange). (b) Result after applying a 3×21 spatial coherence test window on the detected pixels. 3.2.3
Signal averaging (c) Result after rejecting
all patterns composed by less than n = 200 pixels (note that the insert at the top is just an illustration and does show the real content of the
image portion). Before these substeps, surface is detected first (brown); then, a very strong signal (k = 100) occurring on highly reflecting
liquid clouds is detected (black) and the 600 m below is flagged as “likely artifact” (gray), as it is the region where we see artifacts due to the
time response of photomultiplier tubes (PMTs) in the 532 nm channels. Two detections were also made: one with k = 20 and another with
k = 2, a 11 × 11 spatial coherence test window and n = 60. Pixels flagged as surfaces or features are not considered in
the averaging window. However, if the center pixel of the av-
eraging window (i.e., the pixel to which the averaging is ap-
plied) is a low confidence pixel (i.e., “likely artifact”, (A)FA
or “low confidence small strips”), then the averaging window faint layers is mainly in the horizontal direction. Typically,
thin cirrus have geometrical thicknesses of a few hundreds of
meters but spread horizontally over several hundreds of kilo-
meters. The use of a horizontal averaging window thus al-
lows the detection of thin layers close to each other vertically. Atmos. Meas. Tech., 14, 1593–1613, 2021 https://doi.org/10.5194/amt-14-1593-2021 1601 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP Figure 7. Final feature mask of the 532 nm parallel channel. Figure 7. Final feature mask of the 532 nm parallel channel. sponse artifacts (note that the light blue color indicates “1064
only” in Fig. 9a). is applied, and, if the average signal value exceeds the detec-
tion threshold, this center pixel in the feature detection mask
is “unflagged” until the end of the detection-level processing,
after which its low confidence flag is restored. This allows
us to maintain connections between features separated by a
few low confidence pixels. Once the averaging is performed,
the detection substeps (Sect. 3.2.1) are then applied to the
averaged signal. Note too that horizontally adjacent features
separated only by a low confidence vertical band (i.e., pix-
els classified as FA, AFA and/or small strips) are considered
a single, merged feature when counting the number of con-
nected pixels. 3.2.3
Signal averaging Some examples of this horizontal merging are
seen in the smaller fragments of the aerosol layer found at
about 4 km and an along-track distance of 500 km to 750 km
in Fig. 7. 4.1
Variety of cloud type and shape Figure 10 presents the attenuated backscattered lidar signal
in the three channels for another case study showing a vari-
ety of cloud types and shapes which occurred above Ethiopia
on 31 August 2018 during nighttime. We can see that the
artifacts below liquid water clouds (close to the surface and
up to 8 km) appear in the 532 nm parallel (Fig. 10a) and the
532 nm perpendicular (Fig. 10b) channels but not at 1064 nm
(Fig. 10c). We note that thin cirrus clouds, like the one at
17 km in altitude between 1550 and 1850 km, are clearly
brought out in the 532 nm perpendicular channel (Fig. 10b). If we look now at the composite feature detections derived
from these three signals (Fig. 11a), we note again how well
the apparent bases of liquid clouds are retrieved by using the
1064 nm channel. We note also that the successful identifica-
tion of thin cirrus can largely be attributed to our use of the
532 nm perpendicular channel. Figure 11b shows the same
mask as Fig. 11a but with the same colors that are used for the
VFM images (Fig. 11c). This change of colors is intended to
facilitate one-to-one comparisons between the two detection
schemes. However, note that the yellow and white colors do
not discriminate aerosol from cloud, as in the VFM, but in-
stead simply differentiate weak from strong features based on
whether the feature detection required data averaging (yel-
low) or not (white). Finally, Fig. 11d shows the difference
between the new composite feature detection mask and the
VFM. We see that the contour of features retrieved by the 2D-
McDA represents a distinct improvement over the squared
boundaries reported by the VFM. We note too that the new Figure 7 shows the final mask for the 532 nm parallel chan-
nel after the detection of the faint features. 4
Performance assessments and comparisons to
version 4 In this section, we present two case studies to show the im-
provements made by this new feature detection approach. T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 1602 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP igure 8. Curtain of attenuated scattering ratios measured by CALIOP during nighttime observations on 31 August, 21:46:37 UTC (start
oint), daytime observations at (a) 532 nm parallel (same as Fig. 1), (b) 532 nm perpendicular and (c) 1064 nm. e 8. Curtain of attenuated scattering ratios measured by CALIOP during nighttime observations on 31 August, 21:46:37 UTC (
daytime observations at (a) 532 nm parallel (same as Fig 1) (b) 532 nm perpendicular and (c) 1064 nm Figure 8. Curtain of attenuated scattering ratios measured by CALIOP during nighttime observations on 31 August, 21:46:37 UTC (start
point), daytime observations at (a) 532 nm parallel (same as Fig. 1), (b) 532 nm perpendicular and (c) 1064 nm. algorithm detects thin clouds that are obviously missed by
the VFM and that it eliminates significant detection artifacts
reported by the VFM between 700 and 900 km. cates that the signals are fully attenuated after detecting (at
532 nm) the apparent base of the smoke layer. However, at
1064 nm, the dense smoke layer is semi-transparent because
the 1064 nm signals are attenuated significantly less than at
532 nm. Then, the surface is readily detected at 1064 nm
(Fig. 12c). This scene clearly illustrates the advantage gained
by using a multi-channel feature detection algorithm, since
the full vertical extent of the smoke plume can only be re-
trieved by inspecting the 1064 nm measurements (light blue
color in Fig. 13a). 3.3
Three-channel composite detection The detection algorithm is applied individually to the lidar
signal from each of the three channels (Fig. 8), and all pix-
els identified as features in any of the three channels are re-
tained in the composite mask (Fig. 9a). Comparing this new
feature mask (Fig. 9a, b) to the current version of the VFM
(Fig. 9c), we first note the improvement in the detected con-
tour of the large cirrus. We also note that the 2D-McDA read-
ily detects faint cirrus (e.g., as seen between 0 and 75 km)
that is missed by the current VFM. The vertical spreading
of the clouds seen in the VFM at around 7.5 km in altitude
and between 500 and 900 km horizontally is due to the afore-
mentioned PMT artifact afflicting the 532 nm signals beneath
strongly scattering layers. This is not seen in the 2D-McDA
feature mask because pixels below the cloud top are flagged
as “likely artifact” in the 532 nm channels and so we make
no attempt to retrieve the cloud apparent base of such opaque
clouds at this wavelength. Instead, in these cases, we retrieve
the true penetration depth estimates using the 1064 nm sig-
nals (Fig. 8c), which are not affected by detector transient re- https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 1604 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP gure 10. Curtain of attenuated scattering ratios measured by CALIOP during nighttime observations on 31 August 2018, 23:25:54
art point), over Ethiopia at (a) 532 nm parallel, (b) 532 nm perpendicular and (c) 1064 nm. 0. Curtain of attenuated scattering ratios measured by CALIOP during nighttime observations on 31 August 2018, 23:25:54 UTC
nt), over Ethiopia at (a) 532 nm parallel, (b) 532 nm perpendicular and (c) 1064 nm. Figure 10. Curtain of attenuated scattering ratios measured by CALIOP during nighttime observations on 31 August 2018, 23:25:54 UTC
(start point), over Ethiopia at (a) 532 nm parallel, (b) 532 nm perpendicular and (c) 1064 nm. 4.2
Dense smoke Figure 12 presents a dense smoke event in Siberia on 26 July
2006 during daytime. Figure 12 presents a dense smoke event in Siberia on 26 July
2006 during daytime. The smoke layer is opaque at 532 nm, and thus we do not
see any surface echo for this channel (Fig. 12a). Note that the
smoke is non-depolarizing so there is no perpendicular sig-
nal (Fig. 12b). Because the standard CALIOP layer detection
only examines the 532 nm channel, the VFM (Fig. 13c) indi- https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 1603 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 9. (a) Composite feature detection mask derived from signals shown in Fig. 8. (b) Same as panel (a) but using the same
sed for the VFM. “Strong” (white) features are those detected without averaging in at least one channel; others are flagged
). (c) VFM of version 4 of the CALIOP data product. (d) Difference between the new mask and the VFM. Figure 9. (a) Composite feature detection mask derived from signals shown in Fig. 8. (b) Same as panel (a) but using the same colors as
those used for the VFM. “Strong” (white) features are those detected without averaging in at least one channel; others are flagged as “weak”
(yellow). (c) VFM of version 4 of the CALIOP data product. (d) Difference between the new mask and the VFM. https://doi.org/10.5194/amt-14-1593-2021 https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 5
Conclusions tails that are often obscured by CALIPSO’s standard multi-
resolution averaging scheme. Relative to the CALIPSO ver-
sion 4.2 vertical feature mask (VFM) data product, the 2D-
McDA shows the following improvements. This paper describes the architecture and theoretical un-
derpinnings of a new two-dimensional, multi-channel fea-
ture detection algorithm (2D-McDA) used to identify layer
boundaries in the backscatter signals acquired by the elas-
tic backscatter lidar aboard the Cloud-Aerosol Lidar and
Infrared Pathfinder Satellite Observations (CALIPSO) plat-
form. The cloud and aerosol layer detection boundaries re-
ported in the standard CALIPSO data products are detected
by scanning sequences of 532 nm attenuated scattering ratio
profiles constructed at increasingly coarser horizontal aver-
aging resolutions. In contrast, the 2D-McDA is more akin to
an image processing algorithm that examines full-resolution
lidar scenes and hence can identify many of the fine de- – Because it is applied to single profiles averaged over
several different horizontal resolutions, the standard
CALIOP feature detection produces blocky, rectangu-
lar layers. The complex shapes of aerosol and cloud
features are better preserved by the 2D-McDA win-
dowing and data aggregation operations, which provide
the flexibility required to distinguish fine spatial details. It is hoped that this improved feature detection will
lead to improvements in classifying features accord-
ing to type (e.g., clouds vs. aerosols) and in their op-
tical property retrievals. Ideally, separate identification – Because it is applied to single profiles averaged over
several different horizontal resolutions, the standard
CALIOP feature detection produces blocky, rectangu-
lar layers. The complex shapes of aerosol and cloud
features are better preserved by the 2D-McDA win-
dowing and data aggregation operations, which provide
the flexibility required to distinguish fine spatial details. It is hoped that this improved feature detection will
lead to improvements in classifying features accord-
ing to type (e.g., clouds vs. aerosols) and in their op-
tical property retrievals. Ideally, separate identification Atmos. Meas. Tech., 14, 1593–1613, 2021 https://doi.org/10.5194/amt-14-1593-2021 1605 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 11. (a) Composite feature detection mask derived from signals shown in Fig. 10. (b) Same as panel (a) but using the sam
sed for the VFM. “Strong” (white) features are those detected without averaging in at least one channel; others are flagged
) (c) VFM of version 4 of the CALIOP data product (d) Difference between the new mask and the VFM Figure 11. T. Vaillant de Guélis et al.: 2D-McDA for CALIOP T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 1606 Figure 12. Curtain of attenuated scattering ratios measured by CALIOP during a dense smoke event which occurred in Siberia on 26 Ju
2006, 06:00:25 UTC (start point), daytime observations at (a) 532 nm parallel, (b) 532 nm perpendicular and (c) 1064 nm. ure 12. Curtain of attenuated scattering ratios measured by CALIOP during a dense smoke event which occurred in Siberia on 26 July
6, 06:00:25 UTC (start point), daytime observations at (a) 532 nm parallel, (b) 532 nm perpendicular and (c) 1064 nm. Figure 12. Curtain of attenuated scattering ratios measured by CALIOP during a dense smoke event which occurred in Siberia on 26 July
2006, 06:00:25 UTC (start point), daytime observations at (a) 532 nm parallel, (b) 532 nm perpendicular and (c) 1064 nm. thermal budget and drive dynamics of the tropopause
region (e.g., Hartmann et al., 2001; McFarquhar et al.,
2000). of strongly scattering and weakly scattering features by
the 2D-McDA will also offer improved discrimination
between juxtaposed cloud and aerosol layers or identifi-
able regions of ice and liquid water within a cloud. The
improvement of the cloud shape detection is by itself
important, for example, for studies interested in anvil
clouds (e.g., Bony et al., 2016; Hartmann, 2016). – The apparent base altitudes of highly reflective clouds,
i.e., the levels of complete attenuation of the lidar signal,
which are routinely biased low (by several hundred me-
ters) due to the non-ideal transient response of 532 nm
photomultiplier tubes, are now more correctly retrieved
by incorporating measurements made by the 1064 nm
channel. The apparent cloud base altitude, which re-
sults from both attenuation of the direct beam and mul-
tiple scattering effects, has been directly linked with
the amount of longwave radiation escaping the Earth
at the top of the atmosphere (Vaillant de Guélis et al.,
2017a, b), making its accurate estimation very impor- – The apparent base altitudes of highly reflective clouds,
i.e., the levels of complete attenuation of the lidar signal,
which are routinely biased low (by several hundred me-
ters) due to the non-ideal transient response of 532 nm
photomultiplier tubes, are now more correctly retrieved
by incorporating measurements made by the 1064 nm
channel. 5
Conclusions (a) Composite feature detection mask derived from signals shown in Fig. 10. (b) Same as panel (a) but using the same colors as
those used for the VFM. “Strong” (white) features are those detected without averaging in at least one channel; others are flagged as “weak”
(yellow). (c) VFM of version 4 of the CALIOP data product. (d) Difference between the new mask and the VFM. Atmos. Meas. Tech., 14, 1593–1613, 2021 https://doi.org/10.5194/amt-14-1593-2021 https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP The apparent cloud base altitude, which re-
sults from both attenuation of the direct beam and mul-
tiple scattering effects, has been directly linked with
the amount of longwave radiation escaping the Earth
at the top of the atmosphere (Vaillant de Guélis et al.,
2017a, b), making its accurate estimation very impor- – The detection of subvisible cirrus is significantly en-
hanced by both the 2-D detection scheme and the use of
the 532 nm perpendicular channel, which is especially
sensitive to the presence of depolarizing ice crystals. Those clouds play an important role in the climate sys-
tem as they regulate the vertical transport of water va-
por near the upper troposphere–lower stratosphere (e.g.,
Jensen et al., 1996; Luo et al., 2003), influence the local Atmos. Meas. Tech., 14, 1593–1613, 2021 https://doi.org/10.5194/amt-14-1593-2021 1607 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 13. (a) Composite feature detection mask derived from signals shown in Fig. 12. (b) Same as panel (a) but using the same
sed for the VFM. “Strong” (white) features are those detected without averaging in at least one channel; others are flagged a
). (c) VFM of version 4 of the CALIOP data product. (d) Difference between the new mask and the VFM. Figure 13. (a) Composite feature detection mask derived from signals shown in Fig. 12. (b) Same as panel (a) but using the same colors as
those used for the VFM. “Strong” (white) features are those detected without averaging in at least one channel; others are flagged as “weak”
(yellow). (c) VFM of version 4 of the CALIOP data product. (d) Difference between the new mask and the VFM. https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 1608 tant for cloud feedback studies (Vaillant de Guélis et al.,
2018). – The 2D-McDA can retrieve the full vertical extent of
dense smoke layers by examining the 1064 nm channel. Within smoke, the 1064 nm signals are attenuated sig-
nificantly less than at 532 nm and hence can more often
penetrate the full vertical extent of these layers. Those
biomass burning aerosols play a significant role in the
Earth’s radiative balance by their scattering and absorp-
tion of incoming solar radiation (e.g., Penner et al.,
1992; Christopher et al., 1996) and the interaction they
have with clouds (e.g., Kaufman and Fraser, 1997). https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 A1
Correction due to electronic bandwidth If Nbin 15 m bins are
vertically averaged together to form a larger bin B, then the
variance of the mean is given by Var(B) = Var
1
Nbin
Nbin
X
i=1
bi
=
1
N2
bin
Var
Nbin
X
i=1
bi
=
1
N2
bin
Nbin
X
i,j=1
Cov(bi,bj)
=
1
N2
bin
Nbin
X
i=1
Var(bi) + 2
X
1≤i<j≤Nbin
Cov(bi,bj)
,
(A1) B′
k = Nbin −Nshift15
Nbin
Bk + Nshift15
Nbin
Bk+1,
(A4)
where
Bk = b1 + b2 + ... + bNbin
Nbin
=
1
Nbin
Nbin
X
i=1
bi,
(A5)
and
Bk+1 = bNbin+1 + bNbin+2 + ... + bNbin+Nbin
Nbin
=
1
Nbin
Nbin
X
j=1
bNbin+j. (A6) (A4) (A1) where Cov(·,·) is the covariance. When averaging Nbin con-
secutive 15 m bins, we can consider they have approximately
the same range and then that their variance is constant:
Var(bi) = Var(b). If the bi bins were uncorrelated, then we
would have Cov(bi,bj) = 0, ∀(i ̸= j), and then Var(B) =
Var(b)
Nbin . However, since each bin is partially correlated with
its vertical neighbors, we have Cov(bi,bi+m) = constant∀i
for each lag of m range bins. Then, Eq. (A1) can be rewritten
following where Cov(·,·) is the covariance. When averaging Nbin con-
secutive 15 m bins, we can consider they have approximately
the same range and then that their variance is constant:
Var(bi) = Var(b). If the bi bins were uncorrelated, then we
would have Cov(bi,bj) = 0, ∀(i ̸= j), and then Var(B) =
Var(b)
Nbin . However, since each bin is partially correlated with
its vertical neighbors, we have Cov(bi,bi+m) = constant∀i
for each lag of m range bins. Then, Eq. (A1) can be rewritten
following (A5) and Bk+1 = bNbin+1 + bNbin+2 + ... + bNbin+Nbin
Nbin =
1
Nbin
Nbin
X
j=1
bNbin+j. =
1
Nbin
Nbin
X
j=1
bNbin+j. (A6) (A6) Var(B) = Var(b)
Nbin
1 +
2
Nbin
X
1≤i<j≤Nbin
Cov(bi,bj)
Var(b)
! = Var(b)
Nbin
1 + 2
Nbin−1
X
m=1
Nbin −m
Nbin
R(m)
! ,
(A2) (A2) where R(m) = Cov(bi,bi+m)
Var(b)
is the autocorrelation coefficient
for a lag of m range bins. It follows that the correction func-
tion to apply on the total noise standard deviation in Eq. A1
Correction due to electronic bandwidth An additional correlation arises from the data redistribution
in the altitude registration of level 0 data during the level 1A
processing. Indeed, the altitudes of the sample bins of a raw
data profile are recalculated with more accurate information
about the satellite altitude and laser viewing angle in the data
processing on ground. A shift for a few range bins (no more
than three in most of the cases) can be needed for the full-
resolution (30 m) samples. The number of 30 m bins shifted
Nshift30 (which we express below in terms of an equivalent
number of 15 m bins shifted; Nshift15) only add correlation to
regions in the profile data where the vertical range resolution
is coarser than 30 m, i.e., where the vertical range resolutions
are 60, 180 and 300 m (Winker et al., 2006). Indeed, in those
regions, a vertical shift by Nshift30 30 m bins led to the ne-
cessity of rebinning two neighboring bins larger than 30 m
which introduce additional correlation to those bins. When
there is a shift of Nshift15 15 m bins (an even number since
shifts are performed at 30 m resolution), each new shifted bin
B′
k, with vertical resolution coarser than 30 m, is computed
from the weighted average of the two original bins (with Nbin
size resolution) it steps across (Bk and Bk+1; Fig. A1) follow-
ing A correction should be applied to Eq. (3) due to the fact
that the nominal sample range interval (15 m) of the lidar
is smaller than its range resolution (≈40 m) determined by
the electronic bandwidth (2 MHz; Hunt et al., 2009). Con-
sequently, a 15 m sample bin is partially correlated with the
two bins above and the two bins below. As a result, vertical
averaging of several 15 m bins Nbin does not reduce the noise
standard deviation as much as it would if the samples were
independent. A function fa(Nbin) > 1 is then applied to cor-
rect from this partial correlation. This function is evaluated
as follows. A 15 m bin bi has a variance Var(bi). T. Vaillant de Guélis et al.: 2D-McDA for CALIOP The
full detection of those layers will lead to more accurate
aerosol optical depth retrievals which will improve es-
timates of the radiation budget. Profiling the full depth
of the smoke layer will also help to understand whether
the layer is in contact with underlying clouds and able
to affect cloud microphysics. – The 2D-McDA can retrieve the full vertical extent of
dense smoke layers by examining the 1064 nm channel. Within smoke, the 1064 nm signals are attenuated sig-
nificantly less than at 532 nm and hence can more often
penetrate the full vertical extent of these layers. Those
biomass burning aerosols play a significant role in the
Earth’s radiative balance by their scattering and absorp-
tion of incoming solar radiation (e.g., Penner et al.,
1992; Christopher et al., 1996) and the interaction they
have with clouds (e.g., Kaufman and Fraser, 1997). The
full detection of those layers will lead to more accurate
aerosol optical depth retrievals which will improve es-
timates of the radiation budget. Profiling the full depth
of the smoke layer will also help to understand whether
the layer is in contact with underlying clouds and able
to affect cloud microphysics. While the current implementation of the algorithm is compu-
tationally intensive, numerous optimizations are underway,
and it is now feasible to apply the 2D-McDA operationally
using CALIPSO’s available computer resources. However,
while fundamentally important, feature detection is only the
first step in extracting a comprehensive suite of geophysical
parameters from raw lidar measurements. Taking full advan-
tage of the improved spatial analyses delivered by the 2D-
McDA thus requires the development of a companion set of
2-D scene processes to replace the 1-D profile-based pro-
cesses that are currently used in the CALIPSO retrieval ar-
chitecture to perform the essential tasks of discriminating be-
tween clouds and aerosols, identifying cloud thermodynamic
phase and classifying aerosols by type. Atmos. Meas. Tech., 14, 1593–1613, 2021 1609 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP T. Vaillant de Guélis et al.: 2D-McDA for CALIOP 1610 T. Vaillant de Guélis et al.: 2D-McDA for CALIOP Figure A1. Scheme of redistribution in altitude registration. The variance of a B′
k can be written as Var(B′
k)
= Var
Nbin −Nshift15
Nbin
Bk + Nshift15
Nbin
Bk+1
=
Nbin −Nshift15
Nbin
2
Var(Bk) +
Nshift15
Nbin
2
Var(Bk+1) + 2Nbin −Nshift15
Nbin
Nshift15
Nbin
Cov(Bk,Bk+1)
=
"Nbin −Nshift15
Nbin
2
+
Nshift15
Nbin
2#
Var(b)
Nbin
fa(Nbin)2 + 2Nbin −Nshift15
Nbin
Nshift15
Nbin
Var(b)
N2
bin
Nbin
X
i,j=1
Cov(bi,bNbin+j)
Var(b)
= Var(b)
Nbin
"Nbin −Nshift15
Nbin
2
+
Nshift15
Nbin
2#
fa(Nbin)2 + 2Nbin −Nshift15
Nbin
Nshift15
Nbin
1
Nbin
Nbin
X
i,j=1
R(Nbin + j −i)
= Var(b)
Nbin
"Nbin −Nshift15
Nbin
2
+
Nshift15
Nbin
2#
fa(Nbin)2
+ 2Nbin −Nshift15
Nbin
Nshift15
Nbin
Nbin
X
m=1
m
Nbin
R(m)
+
Nbin−1
X
m=1
Nbin −m
Nbin
R(Nbin + m)
. (A7) Var(B′
k) Var(B′
k) Var(Bk+1) + 2Nbin −Nshift15
Nbin
Nshift15
Nbin
Cov(Bk,Bk+1) Nbin Figure A1. Scheme of redistribution in altitude registration. d
zsurf given by a digital elevation model (DEM). The width of
this region will vary according to surface type. Since we are
highly confident of the surface altitude over the ocean (where
d
zsurf = 0), we will only search in a very narrow range of al-
titudes for profiles measured over the ocean. On the other
hand, we are somewhat less confident of the DEM surface
altitudes reported over land and even much less confident
over Greenland and Antarctica, so our search regions over
land will be larger. The surface echo can be very weak due to
attenuation by aerosol and cloud layers above. Then, we try
to detect even the weakest surface echo as long as it is sub-
stantially above background noise. This procedure is applied
at single-shot resolution only. For each shot, the method is
made up of the following steps: (A7) It follows that the correction function to apply on the stan-
dard deviation to take into account both the vertical partial
correlation due to the electronic bandwidth and the redistri-
bution in altitude registration is 1. Compute d
rsurf, the estimated range of the surface, from
d
zsurf and the satellite altitude zsat. fcorr(Nbin,Nshift15) fcorr(Nbin,Nshift15) 2. Compute 1β′
b(d
rsurf), the standard deviation due to back-
ground noise in the β′ domain at the range d
rsurf. T. Vaillant de Guélis et al.: 2D-McDA for CALIOP fcorr(Nbin,Nshift15)
=
"Nbin −Nshift15
Nbin
2
+
Nshift15
Nbin
2#
fa(Nbin)2
+ 2Nbin −Nshift15
Nbin
Nshift15
Nbin
Nbin
X
m=1
m
Nbin
R(m) +
Nbin−1
X
m=1
Nbin −m
Nbin
R(Nbin + m)
1/2
. (A8) 3. Compute id
surf, the bin index of the estimated surface al-
titude, i.e., when z(id
surf) is closest to d
zsurf. 4. Define id
surf ± 1i, the range of the surface search region
according to the International Geosphere-Biosphere
Programme (IGBP) classification of the surface type at
the lidar footprint: (A8) a. If surface type is Water and d
zsurf = 0, then 1i =
2(≡60m). A1
Correction due to electronic bandwidth (3)
to take into account the vertical partial correlation due to the
electronic bandwidth is where R(m) = Cov(bi,bi+m)
Var(b)
is the autocorrelation coefficient
for a lag of m range bins. It follows that the correction func-
tion to apply on the total noise standard deviation in Eq. (3)
to take into account the vertical partial correlation due to the
electronic bandwidth is fa(Nbin) =
1 + 2
Nbin−1
X
m=1
Nbin −m
Nbin
R(m)
!1/2
. (A3) (A3) https://doi.org/10.5194/amt-14-1593-2021 https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 Appendix B: Surface detection The aim of this procedure is to detect a surface echo in the
near-neighborhood region of the estimated surface altitude b. Otherwise, if surface type is Permanent-Snow, then
1i = 17(≡510m). Atmos. Meas. Tech., 14, 1593–1613, 2021 https://doi.org/10.5194/amt-14-1593-2021 https://doi.org/10.5194/amt-14-1593-2021 Atmos. Meas. Tech., 14, 1593–1613, 2021 1611 Atmos. Meas. Tech., 14, 1593–1613, 2021 https://doi.org/10.5194/amt-14-1593-2021 Competing interests. The authors declare that they have no conflict
of interest. Competing interests. The authors declare that they have no conflict
of interest. Herzfeld, U. C., McDonald, B. W., Wallin, B. F., Neumann,
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ICESat-2 Mission, IEEE T. Geosci. Remote, 52, 2109–2125,
https://doi.org/10.1109/TGRS.2013.2258350, 2014. Acknowledgements. The authors are grateful to Brian Magill for
helping improving the runtime of the algorithm and to Kenneth
Beaumont and Brian Getzewich for running the algorithm on the
cluster of the Atmospheric Science Data Center. Thibault Vaillant
de Guélis’ research was supported by an appointment to the NASA
Postdoctoral Program at the NASA Langley Research Center, ad-
ministered by Universities Space Research Association under con-
tract with NASA. Hostetler, C. A., Liu, Z., Reagan, J., Vaughan, M., Winker, D., Os-
born, M., Hunt, W. H., Powell, K. A., and Trepte, C.: Lidar Level
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oretical Basis Document, NASA Langley Research Document
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2021), 2006. Review statement. This paper was edited by Ulla Wandinger and
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uct
used
throughout
this
study
is
publicly
distributed
by
the
NASA
Langley
Research
Center
Atmospheric
Science
Data
Center:
https://www-calipso.larc.nasa.gov/products/
CALIPSO_DPC_Rev4x92.pdf (last access: 5 February 2021,
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wrote the manuscript. MAV and DMW provided the knowledge of
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main ideas to address them. ZL developed the correction function
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D. L.:
Tropical
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https://doi.org/10.1029/2000GL012833, 2001. T. Vaillant de Guélis et al.: 2D-McDA for CALIOP c. Otherwise, 1i = 5 (≡150 m). c. Otherwise, 1i = 5 (≡150 m). c. Otherwise, 1i = 5 (≡150 m). c. Otherwise, 1i = 5 (≡150 m). 5. Compute the derivatives of the lidar signal for bin index
range 289–578 (8.2 to −0.5 km): dβ′
dz
i
=
β′
i −β′
i−1
zi −zi−1
. (B1) (B1) 6. Determine zmin and zmax, the altitudes of the minimum
and maximum values of the derivatives in the surface
search region, and imin and imax, their respective bin in-
dices. 7. Determine β′
max, the maximum signal magnitude lying
between zmin and zmax. 8. Sequentially test the three following rules to determine
if we have identified a legitimate surface return: 8. Sequentially test the three following rules to determine
if we have identified a legitimate surface return: a. zmin > zmax; a. zmin > zmax; a. zmin > zmax;
b. imin−imax ≤N with N = 2 for the 532 nm channels
and N = 4 for the 1064 nm channel; b. imin−imax ≤N with N = 2 for the 532 nm channels
and N = 4 for the 1064 nm channel; c. β′
max > 31β′
b(d
rsurf). c. β′
max > 31β′
b(d
rsurf). 9. If all rules are passed, set surface bin index isurf follow-
ing these conditions: a. if
dβ′
dz
imin−1 > 0 or β′
imin−1 ≤0, then isurf = imin;
b. otherwise (i.e.,
dβ′
dz
imin−1 ≤0 and β′
imin−1 > 0),
isurf = imin−1 for the 532 nm channels and isurf =
imin−2 for the 1064 nm channel. 10. If surface detection arose in a profile (profile horizontal
index p) but not in the previous (p−1) and the following
(p+1) profiles, then the surface detection is canceled if
isurf ̸∈id
surf ±1. This last step reduces the surface search
region for isolated surface detection to prevent false de-
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Youth climate activism in the United States
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Youth climate activism in the United States
Mélanie Meunier Mélanie Meunier To cite this version: Mélanie Meunier. Youth climate activism in the United States. E-rea - Revue électronique d’études sur
le monde anglophone, 2021, 1. ”Letters to Swift” / 2. “ État d’urgence environnemental : comprendre,
agir, représenter ”, 18.2, 10.4000/erea.12490. hal-03690148 HAL Id: hal-03690148
https://hal.science/hal-03690148v1
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Revue électronique d’études sur le monde anglophone
18.2 | 2021
1. "Letters to Swift" / 2. « État d’urgence
environnemental : comprendre, agir, représenter » Publisher Brought to you by Université de Strasbourg Youth climate activism in the United States Melanie MEUNIER Electronic reference Electronic reference
Melanie MEUNIER, “Youth climate activism in the United States”, E-rea [Online], 18.2 | 2021, Online
since 15 June 2021, connection on 21 November 2021. URL: http://journals.openedition.org/erea/
12490 ; DOI: https://doi.org/10.4000/erea.12490 This text was automatically generated on 21 November 2021. E-rea est mis à disposition selon les termes de la licence Creative Commons Attribution - Pas
d'Utilisation Commerciale - Pas de Modification 4.0 International. Youth climate activism in the United States 1 Youth climate activism in the United States Youth climate activism in the
United States Tilly and Tarrow explain in
Contentious Politics that an upward scale shift, i.e. the coordination of collective action at
a higher level (from local to regional, national, international), is one of the most
important processes in the success of a movement (Tilly & Tarrow 95). The scale shift
can be explained by mechanisms such as “diffusion” and “emulation” when activists
learn of episodes of contention and derive inspiration from them, or “brokerage”
whereby contention leaders bring formerly isolated groups into contact. Social media
tools, a mainstay of most youths’ daily lives, enable individuals to meet and mobilize
online. The pervasive use of social media is creating a cultural shift to the political
arena (Gamber-Thompson 236). In addition, participating in horizontal, peer-led
groups creates a strong sense of collective identity and of belonging to a community
(Jenkins et al 3). These processes have spawned and developed numerous youth-led
initiatives in the United States in parallel to movements in other countries (Thunberg’s
Fridays for Future, Extinction Rebellion), which have mutually inspired one another. 4
In this context of contentious politics, the stage is set for an upward scale shift, as
concerned youths, who have successfully channeled their fear and frustration into
positive action, spread their enthusiasm to their peers. Tilly and Tarrow explain in
Contentious Politics that an upward scale shift, i.e. the coordination of collective action at
a higher level (from local to regional, national, international), is one of the most
important processes in the success of a movement (Tilly & Tarrow 95). The scale shift
can be explained by mechanisms such as “diffusion” and “emulation” when activists
learn of episodes of contention and derive inspiration from them, or “brokerage”
whereby contention leaders bring formerly isolated groups into contact. Social media
tools, a mainstay of most youths’ daily lives, enable individuals to meet and mobilize
online. The pervasive use of social media is creating a cultural shift to the political
arena (Gamber-Thompson 236). In addition, participating in horizontal, peer-led
groups creates a strong sense of collective identity and of belonging to a community
(Jenkins et al 3). These processes have spawned and developed numerous youth-led
initiatives in the United States in parallel to movements in other countries (Thunberg’s
Fridays for Future, Extinction Rebellion), which have mutually inspired one another. 5
In order to better understand youth activism in the United States, a framework
categorizing various means of action would be helpful. Youth climate activism in the
United States Melanie MEUNIER “The recent attention on climate policy is not
because members of the media or political
establishment woke up one day. It is a direct
result of the active energy and the demand from
thousands of young people on the front lines of
the crisis.” Varshini Prakash, Co-founder, Sunrise Movement 1
Climate change is often referred to as the defining crisis of the twenty-first century. The international and American scientific communities have published reports that
confirm beyond doubt that climate change exists, is accelerating, and will have
devastating effects if current rates of greenhouse gas emissions continue. North
America being a continent of extreme weather events (Huret & Tourbe), the diverse
regions of the United States experience hurricanes, wildfires, droughts, flooding, and
peaks of severe heat and cold. Due to climate change, the intensity and frequency of
these extreme weather events have increased in recent years (National Centers for
Environmental Information). Mounting numbers of Americans have been directly
affected (homes and livelihoods lost, communities devastated, etc.), which has raised
the salience of the issue. In a 2019 US Conference of Mayors’ survey of 182 cities, 96% of
respondents stated that they had experienced the impact of climate change (Durr), and
a 2020 Yale Climate Change Communication report found that 51% of respondents
think that global warming poses a risk to their community over the next ten years
(Leiserowitz et al 17). 2
Young Americans take the issue much more seriously than the population as a whole:
in a recent nationwide online survey of 1,000 youths aged 18 to 29 years old, 80% of the
respondents felt that “global warming is a major threat to human life on earth as we
know it” (Barnet et alt). Climate change also has a greater impact on young people for
many reasons, including physical and mental health. As Judy Wu et al stated in The E-rea, 18.2 | 2021 Youth climate activism in the United States 2 Lancet, “They are at a crucial point in their physical and psychological development,
when enhanced vulnerability to the effects of stress and everyday anxiety elevate their
risk of developing depression, anxiety, and substance use disorders” (Wu et al e435). Climate anxiety, or eco-anxiety, defined as “a chronic fear of environmental doom”
(Clayton et al 27, Huizen) can result from the trauma of experiencing natural disasters
firsthand or learning about them through written and video accounts. Youth climate activism in the
United States Vasser Seydel, a
young director of the Oxygen Project, remarked that the alternative to eco-anxiety and
depression is action and empowerment: “If you can get yourself to start taking action,
you can overcome the paralysis and the overwhelming nature of the climate
emergency” (Climate Academy). 3
Compounding these youths’ anxiety is the observation that the United States
government has often been reluctant to address the climate crisis: many anti-
environmental policies under the G.W. Bush and Trump administrations, and in
Republican-dominated Congresses have been enacted since 1994. Even as the crisis
became more apparent, the Trump administration adopted an anti-environmental,
climate-denying, anti-scientific stance. Thus, it rolled back the Obama administration’s
climate mitigation efforts such as the Clean Power Plan, the refusal of the Keystone XL
Pipeline Project and automotive emissions standards, and announced withdrawal from
the Paris Agreement (Pitt et al). The urgency of the situation combined with federal
inaction has led to the mobilization of scores of young people, many of whom are too
young to vote. As Henry Jenkins et al stated in By Any Media Necessary: the New Youth
Activism, there is a widespread perception that: On the one hand, the institutions historically associated with American democracy
are dysfunctional, public trust in core institutions is eroding, civic organizations no
longer bring us together, elected representatives are more beholden to big
contributors than to voters... and very little is likely to emerge at the level of
institutional politics that is going to shift conditions very much. On the other hand,
we have seen an expansion of the communicative and organizational resources
available to everyday people (and grassroots organizations). (Jenkins et al 3) On the one hand, the institutions historically associated with American democracy
are dysfunctional, public trust in core institutions is eroding, civic organizations no
longer bring us together, elected representatives are more beholden to big
contributors than to voters... and very little is likely to emerge at the level of
institutional politics that is going to shift conditions very much. On the other hand,
we have seen an expansion of the communicative and organizational resources
available to everyday people (and grassroots organizations). (Jenkins et al 3) 4
In this context of contentious politics, the stage is set for an upward scale shift, as
concerned youths, who have successfully channeled their fear and frustration into
positive action, spread their enthusiasm to their peers. Youth climate activism in the
United States In a 2018 article titled
“Exploring youth activism on climate change,” published in Ecology and Society, Karen E-rea, 18.2 | 2021 Youth climate activism in the United States 3 O’Brien et al present a typology to account for the various ways in which youths are
expressing dissent. Based largely on Western modes of activism, their study
distinguishes three types of dissent: disruptive, dutiful, and dangerous. “Disruptive”
dissent, according to O’Brien et al, is oppositional, where activists organize protests to
contest prevailing policies or norms. “Dutiful” dissent is reformist and works within
existing power and economic structures. It challenges the status quo but does not
challenge existing decision-making processes. Membership in political and
environmental organizations is the most common example of dutiful dissent in climate
activism. While disruptive dissent focuses on the underlying causes of climate change,
raises awareness and encourages participation of newcomers to fight against the
system, dutiful dissent offers direct access to power holders and builds legitimacy
within the system. The third type of dissent, “dangerous,” is propositional: activists
propose new norms and values which communities embrace. The dangerous aspect is
not because dissenters’ actions are violent, but rather, dangerous in the eyes of existing
power holders, because the activists’ ideas subvert existing systems and pose a threat
to their authority or practice (O’Brien et al). Reformist environmentalism, i.e. dutiful dissent, was the mainstay of the
environmental movement from the 1970s to 2000, according to sociologist Robert J. Brulle. The “Big Ten” environmental organizations like the Sierra Club, the Wilderness
Society, the National Wildlife Federation, and Friends of the Earth, opened offices in
Washington D.C. and became part of the lobbying establishment (Andrews 238). Since
the 1990s, however, environmental organizations have expended most of their energy
in defending gains against neoconservatives’ attacks rather than achieving new
advances (Brulle). Critics have found them to be too technocratic, too top down, and
too entrenched in outmoded discourses. Indeed, the failures of the major
environmental associations have been much documented (Brulle, Shellenberger &
Nordhaus). Today’s youths have largely preferred to create their own organizations,
“set the agenda and frame the message,” rather than to work through the
institutionalized environmental associations (Jenkins et al 289). Youth climate activism in the
United States 9
Her words speak for many young activists who have become involved in one of the
many groups that have sprung up in the last few years, such as the Sunrise Movement
(2017), the Youth Climate Strike (2018), the Down Ballot Disruption Project (2020), Zero
Hour (2017), American Conservation Coalition (2017), Earth Uprising (2019), and many
more. Not only are these youths fearful for their future because of climate change and
frustrated with the inertia of the political class, they, for the most part, have solely
experienced a society divided by inequality, endless wars, a financial collapse, and a
student debt crisis. Faced with a combination of so many disruptive factors and
inspired by politician Bernie Sanders and activists like Naomi Klein who criticize
unbridled capitalism that put “profits over people” (Evelyn), many youths have
concluded that old models are not working. Youths are forging new visions of their
future. Spurred by a feeling of urgency and necessity, they are willing to fight for a
“livable planet” (sunrisemovement.org). Observing the 2019 Youth Climate Marches in
March and September, Fisher remarked, “Something different is happening here. We
have a new wave of contention in society that’s being led by women…and the youth
climate movement is leading this generational shift” (Kaplan). 10
The following pages will examine the diverse strategies the young generations are
utilizing to fight for climate action. Analysis will primarily be based on the mainstream
press coverage to assess the impact of youths’ actions. For the purposes of this paper,
youths will be loosely defined as people under thirty years old. The majority of their
tactics could be considered “disruptive”: mobilizing an “army of climate activists,”
engaging in classic street rallies and sit-ins. Other strategies could be categorized as
“dutiful” dissent because they work within existing power structures, like the electoral
process and the courts. Third, a discussion of the “dangerous” aspects of youth activism
that threaten power holders will conclude this analysis. 10
The following pages will examine the diverse strategies the young generations are
utilizing to fight for climate action. Analysis will primarily be based on the mainstream
press coverage to assess the impact of youths’ actions. For the purposes of this paper,
youths will be loosely defined as people under thirty years old. The majority of their
tactics could be considered “disruptive”: mobilizing an “army of climate activists,”
engaging in classic street rallies and sit-ins. Youth climate activism in the
United States Given that many founders of these movements are teenagers – most of whom do not
have the right to vote – the multitudes of loosely organized groups of youths that have
sprung up in recent years belong principally to the classic model of street marches, sit-
ins and protests. Disruptive dissent corresponds to the anger and frustration with
lawmakers’ lack of action, and is the easiest way for relatively unorganized, little-
financed groups of youths to express themselves. As sociologist Dana Fisher remarked
to a PBS journalist during the September 2019 Youth Climate March, “In some ways, the
school strike for climate change is what the sit-in was for the civil rights movement. It
is a tactic that is doable for people in a very local way, where they can get involved in a
movement” (Fisher). Given that many founders of these movements are teenagers – most of whom do not
have the right to vote – the multitudes of loosely organized groups of youths that have
sprung up in recent years belong principally to the classic model of street marches, sit-
ins and protests. Disruptive dissent corresponds to the anger and frustration with
lawmakers’ lack of action, and is the easiest way for relatively unorganized, little-
financed groups of youths to express themselves. As sociologist Dana Fisher remarked
to a PBS journalist during the September 2019 Youth Climate March, “In some ways, the
school strike for climate change is what the sit-in was for the civil rights movement. It
is a tactic that is doable for people in a very local way, where they can get involved in a
movement” (Fisher). 8
While protests may raise public awareness about climate change, the political elites and
establishment generally ignore or discount such efforts (O’Brien et al). Jamie Margolin,
who was 15 years old in 2017 when she founded the activist group Zero Hour, admitted
that the threat of climate change had been a constant fixture in her life, and that the
lack of government action amidst all the disasters that were happening during the
summer of 2017 (Hurricane Maria in Puerto Rico, wildfire smoke from Canada
blanketing her city of Seattle, Trump announcing the withdrawal from the Paris
Agreement) triggered her activism. Youth climate activism in the
United States Interviewed on CBS News, she expressed her E-rea, 18.2 | 2021 Youth climate activism in the United States frustration with the failure of older people to take youths seriously, to view the climate
crisis like an emergency and act in consequence: frustration with the failure of older people to take youths seriously, to view the climate
crisis like an emergency and act in consequence: Enough is enough. They’ll just pat us on the head and say...maybe one day you
should run for office and you can take action on climate change. By the time I grow
up, it’ll be too late! Right now, the people who are holding power – whether we like
it or not – they’re the ones in this tiny, tiny window. The door is closing and we
have this tiny window to take action before it’s too late. (CBS News 19 Sept. 2019) 9
Her words speak for many young activists who have become involved in one of the
many groups that have sprung up in the last few years, such as the Sunrise Movement
(2017), the Youth Climate Strike (2018), the Down Ballot Disruption Project (2020), Zero
Hour (2017), American Conservation Coalition (2017), Earth Uprising (2019), and many
more. Not only are these youths fearful for their future because of climate change and
frustrated with the inertia of the political class, they, for the most part, have solely
experienced a society divided by inequality, endless wars, a financial collapse, and a
student debt crisis. Faced with a combination of so many disruptive factors and
inspired by politician Bernie Sanders and activists like Naomi Klein who criticize
unbridled capitalism that put “profits over people” (Evelyn), many youths have
concluded that old models are not working. Youths are forging new visions of their
future. Spurred by a feeling of urgency and necessity, they are willing to fight for a
“livable planet” (sunrisemovement.org). Observing the 2019 Youth Climate Marches in
March and September, Fisher remarked, “Something different is happening here. We
have a new wave of contention in society that’s being led by women…and the youth
climate movement is leading this generational shift” (Kaplan). Youth climate activism in the
United States Other strategies could be categorized as
“dutiful” dissent because they work within existing power structures, like the electoral
process and the courts. Third, a discussion of the “dangerous” aspects of youth activism
that threaten power holders will conclude this analysis. 1.1 Fossil Fuel Divestment 12
The Fossil Fuel Divestment campaign began in 2011 on several university campuses and
has maintained a significant presence on campuses ever since. Students demonstrate to
put pressure on their university boards to divest from any holdings in coal and other
fossil fuels. Amplified by climate advocacy group 350.org’s efforts internationally, the
movement grew rapidly, encompassing 181 universities and other institutions by
September 2014, adding hundreds more each year. Today, after ten years, the
divestment movement has spread from American college campuses to many other
countries and many other institutions. As of April 2021, the latest divestment figures
comprise ten categories of institutions, out of which faith-based, philanthropic and
educational ones constitute 64% of 1,319 institutions and a total of $14.56 trillion,
according to the website gofossilfree.org. 13
University campuses are prime sites where the “diffusion” mechanism of contentious
politics works particularly well to spread ideas from one campus to another. They have
long been sites of contention, from the 1960s antiwar and other protests to the shanties
against the South African apartheid movement in the 1980s (Tilly & Tarrow 38-41). The
fossil fuel divestment movement carried the idea forward to 2011 as a means to raise
awareness about climate change, with the potential of impacting the fossil fuel
industry. 14
To mention a few examples, at Harvard University, student protesters have staged
protests over several years, so far without success. The youth-led movement has
inspired adult support, thereby expanding its influence. After it became public in 2015
that Harvard had considerably increased its investments in fossil fuel companies,
support for divestment flourished amongst alumni, as well as faculty members whose
numbers jumped from 100 to 250 professors. In 2019, led by Divest Harvard and Fossil
Free Yale, a crowd of protesters took over the football field at the halftime of a
Harvard-Yale game to raise awareness about the issue (O’Daly). Harvard Forward, a
campaign created by concerned alumni, supported three pro-divestment candidates for
the Harvard Board of Overseers in 2020. The website of the Harvard Forward platform
states: In the 1980s, alumni successfully ran petition candidates for the Harvard Board of
Overseers to push Harvard to divest from apartheid-era South Africa and become
more socially responsible. Over three decades later, alumni still want the same
things from Harvard: leadership & accountability in facing the biggest challenges of
our time. 1. “Disruptive” Dissent: working from outside the
system 11
These youth movements rely on their energy, enthusiasm and the sheer number of
peers they are able to mobilize and who take part in street marches and peaceful
protests, targeting particular officials or institutions. In this section, we will present
some of the movements and profile a few of their leaders, both from the progressive
and the conservative sides of the political spectrum: specifically, on the left, the
Divestment movement, and U.S. Youth Climate Strikes, and on the right, the American
Conservation Coalition, and Young Evangelicals for Climate Change. E-rea, 18.2 | 2021 Youth climate activism in the United States 5 1.2 U.S. Youth Climate Strike 18
Secondly, inspired by Swedish youth activist Greta Thunberg’s Fridays-for-Future
student strikes initiated in 2018, three American teenagers who had been striking on
their own in their respective cities joined forces to organize the first countrywide
youth climate strike in March 2019. The executive director of the U.S. Youth Climate
Strike is a sixteen-year-old (in 2018) named Isra Hirsi from Minneapolis, Minnesota. She became an activist due to the drinking water crisis in Flint, Michigan, which
primarily affected poor communities of color. Her identity as a Black Muslim woman
drove her to seek environmental justice. Twelve-year-old (in 2018) co-founder Haven
Coleman from Denver, Colorado was inspired by a schoolteacher who taught about
deforestation which, she realized, was putting her favorite animal, the sloth, in danger. She started striking alone but sought contact with other strikers, which deepened her
commitment to climate action. The third co-founder is Alexandria Villaseñor, a
thirteen-year-old (in 2018) who had been striking alone in front of the United Nations
since December 2018. A native of California, her activism was triggered by the
simultaneous events in November 2018 of the Camp Fire, a wildfire which completely
razed the town of Paradise, California, and of Greta Thunberg’s speech at COP 24, the
United Nations’ annual meeting on climate change, which took place in Poland. In
order to motivate more young people, she founded a new group, Earth Uprising, which
focuses on educating youths in schools, peer-to-peer (The Climate Group). 9
All three noted that staying connected through social media with likeminded activists
was crucial in sustaining their motivation. The communication and joining of these
three youths to found the U.S. Youth Climate Strike is a classic example of coordinated
action according to the framework proposed by Tilly and Tarrow (Tilly & Tarrow 31). As momentum built, eight U.S.-based youth-led climate groups formed an alliance, the
U.S. Youth Climate Strike Coalition. The groups worked together to plan the American
marches organizing more than 1,000 events in all fifty states, Puerto Rico, and
Washington, D.C. The third global Youth Climate Strike, with multiple events planned
on the week of 20-27 September 2019, was timed to coincide with the U.N. Youth
Climate Summit and the U.N. Climate Action Summit in New York City. The latter was
to be attended by most major world leaders and Greta Thunberg, the “poster girl” of
the youth climate movement, who would address them (Sky News). 1.1 Fossil Fuel Divestment (harvardforward.org/) 15
All three candidates were elected on a platform of climate action and social justice,
with fossil fuel divestment at the center of their campaign, which indicates broad
support for divestment. On the West coast, Stanford University divested its $18.7-
billion endowment in 2014, which was a major victory for the youth movement. More
recently, the University of California announced in May 2020 that it had fully divested
from fossil fuels (Watanabe). The University of California is the largest American
university with 285,000 students and a portfolio of $2.6 billion. 16
As important as these divestments may be for the movement, observers assert that a
tarnished image of fossil fuel companies could have even more damaging consequences
to them (Atif et al). The exposure of ExxonMobil’s knowledge of the impact of fossil fuel
emissions on human health and the company’s efforts to manufacture doubt about E-rea, 18.2 | 2021 Youth climate activism in the United States 6 global warming in direct contradiction to the results of its studies, is a case in point
(Banerjee et al). As Bill McKibben stated in 2015, after years of domination of the
energy sector, the fossil fuel industry is starting to receive some serious setbacks:
Keystone XL pipeline, multiple lawsuits, and with the Biden administration, the
probable loss of fossil fuel subsidies. The current administration’s $2.3 trillion
infrastructure plan includes a proposal to turn those subsidies into incentives for
renewable energy (McKibben 6 Nov 2015, Gardner). 17
The movement’s ability to sustain itself despite the high turnover (as graduating
students leave) has made the divestment movement a model for youths aspiring to
start their own movements. 1.3 American Conservative Coalition 20
On the conservative side of the political spectrum, a Pew Research survey conducted in
the spring of 2020 showed that 79% of millennial and younger Republicans believed the
U.S. should invest in clean energy sources. It also showed that nearly twice as many
millennial and younger Republicans as older Republicans believe human activity
contributes a great deal to climate change (Fry). 21
Republican-leaning conservatives like Benji Backer, (aged 19 in 2017), from Appleton,
Wisconsin founded the American Conservation Coalition in 2017. Backer declared that
the health of the environment affects everyone, regardless of where they live, their
background or political affiliation (60 Minutes). Along with Greta Thunberg and Jamie
Margolin and other youths, Benji Backer testified on Capitol Hill in September 2019,
pressing elected officials to take serious action on climate change. The coalition’s
website states that it is “dedicated to mobilizing young people around environmental
action through common-sense, market-based, and limited-government ideals.” It seeks
to overcome partisan inaction by “promoting a mix of free-market, pro-business, and
limited-government environmentalism in legislatures, college campuses, the political
arena, and beyond.” As of May 2021, the coalition counts 58 branches throughout the
United States (American Conservation Coalition). 22
The American Conservative Coalition produced an alternative to the Green New Deal in
2020, called the American Climate Contract. Its FAQ page states that the conservative
plan focuses on action now, using “carrots, not sticks” and that the Green New Deal is
“a wish list of progressive policies.” The website announces “an unprecedented
coalition of experts and activists, liberals and conservatives, environmental
organizations and energy groups,” auguring a nonpartisan approach (American
Conservation Coalition, acc.eco). 1.2 U.S. Youth Climate Strike Turnout across the
United States and the world for the global youth climate strike on 15 March 2019 was
much higher than at previous marches and skyrocketed on 20 September 2019. It is
estimated that nearly two million attended in March and between 6 and 7.6 million on E-rea, 18.2 | 2021 Youth climate activism in the United States 7 20 September (Climate Academy). Impressed by the numbers of young people at these
marches, Fisher conducted a survey and found that half of the people who attended the
20 September protest were of college age or younger, and fully 25% was under eighteen
years of age (Kaplan). 1.4 Young Evangelicals for Climate Action However, initiatives of the
executive branch not enshrined in law by Congress can easily be overturned by the
president’s successor, which is exactly what President Trump did upon arriving in
office (Pitt et al). Furthermore, the Trump administration proved to be particularly
inattentive to voices of opposition. Clearly, taking to the streets, even en masse, is
insufficient to effect lasting change. It will take more to move an entire country like the
United States away from fossil fuels, especially in the current contentious political and
social climate. Some young activists have concluded that, rather than simply
expressing opposition to the current state of affairs, working within the system could
produce more results. 1.4 Young Evangelicals for Climate Action 23
The American Conservation Coalition is silent on religious matters, but studies find a
positive correlation between conservatism and religiosity. Indeed, Pew Research
surveys consistently find that evangelicals are some of the staunchest skeptics of
climate change science. Young evangelicals, however, support action to mitigate
climate change (Meyaard-Schaap). According to a November 2019 poll on Americans’
views about climate and energy, 52% of young Republicans responded that the
government is doing too little to address climate change (Funk & Hefferon). Reverend
Kyle Meyaard-Schaap, a spokesperson for Young Evangelicals for Climate Change who
crisscrosses the country talking to members, believes that a “tectonic shift” is taking
place in American churches. He no longer hears debates about the science of climate
change amongst the young generations. Rather, like the vast majority of climate
activists, they are mobilizing on college campuses, marching in the streets, meeting E-rea, 18.2 | 2021 Youth climate activism in the United States 8 elected officials and "speaking up for the people's right to clean air and water and a
stable climate" (Meyaard-Schaap). 24
These movements are examples of an upward scale shift as youths turn their energy
into action, emulating earlier actors and inspiring later ones. They demonstrate the
depth and breadth of youth climate activism which, judging by the numbers cited
above of participation at the youth climate strikes in March and September 2019
(Climate Interactive), have increased significantly in the last few years. Mass
mobilization and widespread protests are key in raising awareness and influencing
public opinion and have been quite successful in the divestment movement. Yet,
pragmatists question the effectiveness of mass protests: all this action and passion is
exciting and seems promising to many, but have these actions resulted in real change? In a 2017 New Yorker article, Nathan Heller wonders, “Is there any point to protesting?”
(Heller). In his review of recent protests – against the war in Iraq in 2003, Occupy Wall
Street in 2011, Black Lives Matter in 2014, Women’s March in 2017 – he finds that none
of them had concrete success. 25
So what have the climate protests accomplished? Has the United States taken steps to
reduce its emissions? The Obama administration took significant steps near the end of
its term: the Clean Power Plan, signing the Paris Agreement, refusal of the Keystone XL
Pipeline and of the Dakota Access pipeline (PBS 2017). 2. “Dutiful” Dissent: Working from within, through the
electoral system 26
Voting is a primary tool in a democracy: if enough elected officials in Congress vote for
a climate action plan, a comprehensive program will finally be passed after years of
gridlock. Those who are too young to vote can still influence the results of votes by
putting pressure on elected officials in other ways than classic rallies. In this section,
we will examine two other types of initiatives that youth groups are implementing to
force a change in climate policy. One focuses on the electoral process while the other
targets the courts. E-rea, 18.2 | 2021 2.1 The Sunrise Movement Social media presence – informing,
educating, motivating followers – is an integral part of the Sunrise Movement’s
communication strategy, both to enhance cohesion amongst those who are members
and to attract new activists. Innovative young volunteers have devised a new style of
digital campaigning, creating “stan” accounts to publicize campaign messages through
memes when door-to-door canvassing became tricky, if not impossible, during the
Coronavirus pandemic (Higgins and Chávez). 29
In addition to demonstrating, organizing sit-ins, handing out flyers door-to-door and
the like, Sunrise developed many tools to galvanize and train an “army” of youth
activists. Their website offers training programs so that newcomers can quickly learn
the basics of becoming an activist. Getting few mentions in the press, these training
retreats of a day up to a week are fundamental in helping young, motivated people gain
confidence and skills in order to become key actors in their respective local areas. Now
under the heading of “Sunrise School,” the website proposes both online support and
in-person training programs for newcomers and trainers. The level of support offered
to volunteers appears to be well above that on other websites and contributes to the
movement’s success. According to a Sunrise volunteer, Ben Bristol, teenagers strongly
desire to be part of the solution to the climate crisis: Kids are already suspicious of the establishment. They have strong opinions and
rebellious streaks. When you’re a high schooler, environmentalism too often just
means recycling programs and classroom lessons on sustainability. The chance to
think about that problem – and themselves – in political terms is new for them. Even for students who study politics or history or government, activism isn’t really
a dimension of their curriculum. (Turrentine) 30
Thus, many youth movements, especially Sunrise, have provided means for those who
desire to take action. Public opinion is a powerful tool as well: the practice of “naming
and shaming” is an effective way to force climate change onto the agenda (Lakhani). During the 2020 presidential primaries, Sunrise called upon candidates to sign the “No
fossil fuel money” pledge. Twenty-four Democratic presidential candidates (all but one)
signed the pledge in 2020, and as of 9 May 2021, the website lists over 3,293 elected
officials at all levels of government who have signed the pledge. Sunrise has also
adopted and extensively used a technique that early environmentalists pioneered in
1970: identifying elected officials with poor environmental voting records. 2.1 The Sunrise Movement 27
One group in particular amongst the youth activists realized that peaceful protests
were insufficient and, from the outset, has had a strategy to both mobilize large
numbers of energetic activists and elect committed individuals to Congress and state
legislatures. Co-founder of the Sunrise Movement, Varshini Prakash started out in the
divestment movement at her university, so was familiar with demonstrations, sit-ins, E-rea, 18.2 | 2021 Youth climate activism in the United States 9 rallies. She and a group of friends spent a full year studying previous successes of
protest movements, like the civil rights movement of the 1960s, and previous failures,
like the Occupy Wall Street movement and Bernie Sanders’ 2016 presidential campaign,
in order to develop a comprehensive strategy before launching the Sunrise Movement
in 2017. Not only would these youths protest against inaction, they would also propose a
solution for the future. What distinguishes this group from the majority of youth
climate action groups then, is its multi-pronged strategy and wide-ranging program to
adapt the American economy to the twenty-first century. By framing the fight for the
planet as “a battle between underdogs and moneyed special interests,” Sunrise “taps
into reservoirs of youthful passion and energy, turning students into student activists”
(Turrentine). 28
Sunrise is structured to encourage the creation of “hubs,” which are active at the local
level throughout the country. According to their website, there are more than 400 hubs
and although no official figure is available, it is believed that a million volunteers have
joined the movement (Higgins & Chávez). Social media presence – informing,
educating, motivating followers – is an integral part of the Sunrise Movement’s
communication strategy, both to enhance cohesion amongst those who are members
and to attract new activists. Innovative young volunteers have devised a new style of
digital campaigning, creating “stan” accounts to publicize campaign messages through
memes when door-to-door canvassing became tricky, if not impossible, during the
Coronavirus pandemic (Higgins and Chávez). 28
Sunrise is structured to encourage the creation of “hubs,” which are active at the local
level throughout the country. According to their website, there are more than 400 hubs
and although no official figure is available, it is believed that a million volunteers have
joined the movement (Higgins & Chávez). 2.1 The Sunrise Movement In 1972,
environmentalists contributed to the defeat of seven out of twelve anti-environmental E-rea, 18.2 | 2021 10 Youth climate activism in the United States 10 incumbents, the “dirty dozen”. Today, with the help of the League of Conservation
Voters, which tracks the voting records of all congressional members, Sunrise targets
those elected officials who have poor voting records on environmental issues,
publicizes the records in their home districts, and if the officials are up for re-election,
strongly supports challengers whose platforms coincide with Sunrise’s objectives. To
summarize, picket signs read: “Dear Democrats: Step Up or Step Aside” (Sunrise
website). 31
Once convinced of a candidate’s platform and commitment to the group’s core
objectives, Sunrise deploys an “army” of activists to call potential voters and canvas
neighborhoods door-to-door. In 2018 for example, they were instrumental in
Alexandria Ocasio-Cortez’s upset win of the U.S. House of Representatives seat for the
Queens and Bronx areas of New York City. Joseph Crowley, the incumbent Democrat,
had held the seat for twenty years and did not take his challenger, Ocasio-Cortez, a 28-
year-old female bartender at the time, seriously. AOC, as she is known, won the primary
by 15 points and went on to win the election. Since then, she has become an influential
progressive leader in the House of Representatives. Ten of the twenty candidates
Sunrise endorsed for Congress in 2018 were elected and six more won seats in the state
legislatures of Pennsylvania, New York and Florida (Influence Watch). 32
In 2020, Sunrise endorsed seventeen candidates: Bernie Sanders for president and the
others for congressional seats. Once convinced of candidates’ merits, the volunteers put
great energy into promoting them. Notable successes include the elections of Senator
Ed Markey and Representative Cori Bush. Markey, a longtime incumbent senator of
Massachusetts, was challenged by Joe Kennedy, 39, in the Democratic primary of the
2020 election (Higgins & Chávez). Aged 74, Markey is a veteran politician and co-
sponsor of the Green New Deal in the Senate, but the Kennedy name and the allure of a
young, new voice had Markey trailing by a significant margin a year before the
primary. 2.1 The Sunrise Movement Sunrise volunteers engaged in intensive voter turnout efforts (mostly digital
and telephone contacts due to Covid restrictions) to bolster Markey’s image: “In a
clever twist, Sunrise was able to cast the veteran lawmaker not as a stale incumbent,
but rather as a longtime ally in developing and fighting for the Green New Deal”
(Higgins and Chávez). Markey eventually won the primary handily, despite influential
House Speaker Nancy Pelosi’s endorsement of Joe Kennedy. Commentators remarked
that the turnabout would have been impossible without Sunrise’s help (Tierstein, Ward
& Wilson, White, Holden, Manchester). 33
Cori Bush ran for a seat in the U.S. House of Representatives in Missouri in 2020. Sunrise threw its support behind Democratic challenger Bush, who was running for the
second time against Lacy Clay, the ten-term incumbent, for a seat that had been held by
a member of the Clay family for 52 years. Sunrise volunteers called up 150,000 voters in
the final weeks of the primary campaign, contributing significantly to Bush’s upset win. While in 2018 Bush lost to Clay by twenty points, in 2020 Bush won by three points,
which the Sunrise volunteers considered proof of the efficacy of their endeavors. 33
Cori Bush ran for a seat in the U.S. House of Representatives in Missouri in 2020. Sunrise threw its support behind Democratic challenger Bush, who was running for the
second time against Lacy Clay, the ten-term incumbent, for a seat that had been held by
a member of the Clay family for 52 years. Sunrise volunteers called up 150,000 voters in
the final weeks of the primary campaign, contributing significantly to Bush’s upset win. While in 2018 Bush lost to Clay by twenty points, in 2020 Bush won by three points,
which the Sunrise volunteers considered proof of the efficacy of their endeavors. 34
Overall, the majority of Sunrise’s endorsed candidates won their primaries in 2020,
consolidating the Sunrise Movement’s position as a force to be reckoned with in the
electoral field. “Dutiful” may not be the best word to characterize Sunrise’s tactics in
the electoral process. At least from the standpoint of targeted incumbents, Sunrise
constitutes a danger to the status quo. 2.1 The Sunrise Movement In hopes of furthering their influence, Sunrise
activists posted on their website panels of people that they would like to see in the 2021 34
Overall, the majority of Sunrise’s endorsed candidates won their primaries in 2020,
consolidating the Sunrise Movement’s position as a force to be reckoned with in the
electoral field. “Dutiful” may not be the best word to characterize Sunrise’s tactics in
the electoral process. At least from the standpoint of targeted incumbents, Sunrise
constitutes a danger to the status quo. In hopes of furthering their influence, Sunrise
activists posted on their website panels of people that they would like to see in the 2021 E-rea, 18.2 | 2021 11 11 Youth climate activism in the United States Biden cabinet. Sunrise’s support for the Green New Deal, another important aspect of
the group’s activism, will be discussed in the “dangerous” dissent section. 2.2 Working through the courts 35
Another strategy employed by youth climate activists – and perhaps the most effective
one – is litigation, a widespread tool of contestation in the United States. The
knowledge that human activity (primarily the burning of fossil fuels) is impacting the
climate was known by the late 1950s and significant enough for policymakers to take
note by the 1960s. In 1965 President Johnson said in a speech to the nation: "this
generation has altered the composition of the atmosphere on a global scale through ... a
steady increase in carbon dioxide from the burning of fossil fuels" (Lavelle). 36
A watershed moment occurred when in 1988, James Hansen, a physicist at NASA
testified to the U.S. Senate committee: “The greenhouse effect has been detected and is
changing our climate now” (Yale Climate Connections). Thus, the federal government,
if not the general public, has been aware of the phenomenon for decades. Hansen’s
1988 testimony was instrumental in convincing the George H.W. Bush administration to
sign the first treaty on climate change in 1992 – before it became a partisan issue. This
treaty, called the United Nations Framework Convention on Climate Change (UNFCCC)
remains the basis for a coordinated international effort to reduce greenhouse gas
emissions and reduce the threat. 36
A watershed moment occurred when in 1988, James Hansen, a physicist at NASA
testified to the U.S. Senate committee: “The greenhouse effect has been detected and is
changing our climate now” (Yale Climate Connections). Thus, the federal government,
if not the general public, has been aware of the phenomenon for decades. Hansen’s
1988 testimony was instrumental in convincing the George H.W. Bush administration to
sign the first treaty on climate change in 1992 – before it became a partisan issue. This
treaty, called the United Nations Framework Convention on Climate Change (UNFCCC)
remains the basis for a coordinated international effort to reduce greenhouse gas
emissions and reduce the threat. 37
On the domestic scene, the country has a solid basis from which to combat rising
emissions through wide reaching environmental protection legislation that was passed
during the late 1960s and early 1970s. A crucial new provision that was written into the
1970s’ environmental legislation states that citizens “have a right to know” and can
have access to documents pertaining to a particular issue. 2.2 Working through the courts In addition, developers using
federal funds are required to produce an Environmental Impact Statement before
proceeding with their project (Andrews 241-2). Environmental associations understood
the potential of this principle and have used it extensively to block projects through
litigation. Thus, the courts have played a major part in environmental protection since
the 1970s. 38
Currently, several cities, counties and a state are suing major fossil fuel companies for
selling harmful products and misleading the public about their dangers (Banerjee et al). InsideClimate News has conducted in-depth research which has proven that Exxon Mobil
knew of the negative impact of fossil fuels on human health and the environment
decades ago (Banerjee et al). Rather than inform the public and find ways to make their
products less polluting, they launched misinformation campaigns and cast doubt on the
science. As Rhode Island Attorney General Peter F. Kilmartin said in 2018, announcing
his state’s suit against companies like Exxon Mobil, Chevron, BP, and Royal Dutch Shell,
Instead of working to reduce that harm, these companies chose to conceal the
dangers, undermine public support for greenhouse gas regulation, and engage in
massive campaigns to promote the ever-increasing use of their products and ever-
increasing revenues in their pockets. (Kusnetz 2 July 2018) his state’s suit against companies like Exxon Mobil, Chevron, BP, and Royal Dutch Sh
Instead of working to reduce that harm, these companies chose to conceal the
dangers, undermine public support for greenhouse gas regulation, and engage in
massive campaigns to promote the ever-increasing use of their products and ever-
increasing revenues in their pockets. (Kusnetz 2 July 2018) 39
The fossil fuel industry’s misinformation campaign has been quite successful: judging
by the surveys of public opinion in various countries, the American public shows
significantly greater doubt about the human responsibility for climate change. According to Pew Research, in 2019, only 59% of Americans compared to 83% of the E-rea, 18.2 | 2021 12 Youth climate activism in the United States 12 French or 90% of Greeks believe that human activity is the driver of global warming
(Fagan & Huang). And this figure is considerably higher than a few years ago (Saad). The prevalence of climate skepticism and denialism in the United States points strongly
to the success of the misinformation campaign and has been a major factor in the
federal government’s lack of climate action. 2.2 Working through the courts With gridlock in Congress and President
Obama’s “all-of-the-above” energy strategy followed by the Trump administration’s
support for the coal industry and systematic repeal of as many environmental
protections as possible, (Fox News, Pitt et al) the federal government has been unable
or unwilling to take serious action on climate change for decades. 40
In an attempt to force the federal government to act on climate change, twenty-one
young plaintiffs, accompanied by Dr. James Hansen and lawyer Julia Olson, filed a
lawsuit against the United States government in 2015. The lawsuit, Juliana vs. the United
States, based on the Public Trust Doctrine1, charges that the government is guilty of
allowing and encouraging greenhouse gas emissions over the past fifty years despite
knowing about global climate change, thus violating the plaintiffs’ due process rights
under the Fifth Amendment of the Constitution. The litigants were chosen from diverse
locations in the United States (Oregon, Florida, Colorado, etc.), all of which had been
damaged due to climate change (60 Minutes). The plaintiffs contend that federal
support for fossil fuel extraction is causing climate change, endangering their future
and violating their constitutional rights to life, liberty and property. 40
In an attempt to force the federal government to act on climate change, twenty-one
young plaintiffs, accompanied by Dr. James Hansen and lawyer Julia Olson, filed a
lawsuit against the United States government in 2015. The lawsuit, Juliana vs. the United
States, based on the Public Trust Doctrine1, charges that the government is guilty of
allowing and encouraging greenhouse gas emissions over the past fifty years despite
knowing about global climate change, thus violating the plaintiffs’ due process rights
under the Fifth Amendment of the Constitution. The litigants were chosen from diverse
locations in the United States (Oregon, Florida, Colorado, etc.), all of which had been
damaged due to climate change (60 Minutes). The plaintiffs contend that federal
support for fossil fuel extraction is causing climate change, endangering their future
and violating their constitutional rights to life, liberty and property. 41
In an interview on 60 Minutes, Julia Olson stated,
The lawsuit claims the executive and legislative branches of government have
proven incapable of dealing with climate change. It argues that the government has
failed in its obligation to protect the nation's air, water, forests and coastlines. 2.2 Working through the courts And
it petitions the federal courts to intervene and force the government to come up
with a plan that would wean the country off fossil fuels by the middle of this
century.” (60 Minutes) 42
After multiple stays, the case was heard in court in June 2019 and a decision was
published in January 2020 (Schwartz). Two of the three judges stated that they
recognized the gravity of the evidence provided by the plaintiffs, the government’s role
in causing injury from climate change, and that the government was violating the
plaintiff’s constitutional rights. However, the two judges concluded that the plaintiffs
did not have standing and that the executive and legislative branches – not the courts –
should address the requests, while the third judge dissented, strongly affirming the
youths’ constitutional rights. The decision was a disappointment for the plaintiffs, who
responded by filing a petition to request a review of the decision by the full panel of
eleven circuit court judges. Groups including twenty-four members of the U.S. Congress, experts in constitutional law, climate change and public health filed ten
amicus curiae briefs in support of their petition (Schwartz). 42
After multiple stays, the case was heard in court in June 2019 and a decision was
published in January 2020 (Schwartz). Two of the three judges stated that they
recognized the gravity of the evidence provided by the plaintiffs, the government’s role
in causing injury from climate change, and that the government was violating the
plaintiff’s constitutional rights. However, the two judges concluded that the plaintiffs
did not have standing and that the executive and legislative branches – not the courts –
should address the requests, while the third judge dissented, strongly affirming the
youths’ constitutional rights. The decision was a disappointment for the plaintiffs, who
responded by filing a petition to request a review of the decision by the full panel of
eleven circuit court judges. Groups including twenty-four members of the U.S. Congress, experts in constitutional law, climate change and public health filed ten
amicus curiae briefs in support of their petition (Schwartz). 43
Our Children’s Trust is the non-profit organization that underwrites and provides the
legal representation for Juliana and many similar actions. 2.2 Working through the courts Analysts are even more skeptical since President Trump
appointed three conservative justices to the Supreme Court, bringing the count to six
conservative and three progressive justices. But as mentioned above, the number of
lawsuits against fossil fuel corporations and governments for failing to protect public
health and common resources has multiplied, and a victory would set a precedent for
future litigation. 45
In sum, working through the electoral system and through the courts are two avenues
that youth climate activists are exploring. Battles in these institutions require
determination and patience but offer more likelihood of long-term success. Indeed,
electing enough climate action proponents to Congress to enact laws may take years. A
case like Juliana vs. the United States has already been in the works for six years and may
not result in a victory. Analysts are even more skeptical since President Trump
appointed three conservative justices to the Supreme Court, bringing the count to six
conservative and three progressive justices. But as mentioned above, the number of
lawsuits against fossil fuel corporations and governments for failing to protect public
health and common resources has multiplied, and a victory would set a precedent for
future litigation. 3. “Dangerous” Dissent 46
The majority of the youth actions examined so far could be considered “disruptive:”
mobilizing an “army of climate activists,” engaging in classic street rallies and sit-ins. Some could be categorized as “dutiful” dissent because they work within existing
power structures, like the electoral process or the courts. Unconventional techniques,
however, are employed to produce successes: “naming and shaming” for example. And
in the courts, youths are using an innovative approach by suing their federal, state and
local governments for violating their right to a livable planet. Reparations are unlikely,
but the courts could judge that the state and federal governments must devise and
implement climate action plans, which is what the Juliana plaintiffs are demanding (60
Minutes). In fact, states and cities have been far more active than the federal
government in this domain. As of 2020, thirty-two states have climate action plans with
targets to reduce greenhouse gas emissions by implementing various policies that favor
clean energy sources, clean transportation and buildings, as well as strategies to cope
with climate disasters and support economic and social goals (Ricketts et al). And the
Biden administration appears to be committed to action on climate change, which may
result in more accountability for corporations and utilities (Gardner). 2.2 Working through the courts Its website declares that it is
“the world’s only non-profit public interest law firm dedicated exclusively to securing
the legal rights of youth to a healthy atmosphere and safe climate, based on the best
available science.” The website offers information on seven pending cases in the states
of Alaska, Colorado, Maine, Massachusetts, New Mexico, North Carolina and Oregon as
well as details concerning legal actions in all fifty states. 43
Our Children’s Trust is the non-profit organization that underwrites and provides the
legal representation for Juliana and many similar actions. Its website declares that it is
“the world’s only non-profit public interest law firm dedicated exclusively to securing
the legal rights of youth to a healthy atmosphere and safe climate, based on the best
available science.” The website offers information on seven pending cases in the states
of Alaska, Colorado, Maine, Massachusetts, New Mexico, North Carolina and Oregon as
well as details concerning legal actions in all fifty states. E-rea, 18.2 | 2021 13 Youth climate activism in the United States 13 44
Juliana vs. the United States has received significant coverage in the media, both
mainstream (New York Times, Washington Post, CBS, ABC, NBC) and specialized
(InsideClimate News, Grist) and shone a moral spotlight on the country’s government and
on powerful corporations. If Juliana were to prevail, it could have a far-reaching impact
on climate action. Indeed, if the tobacco industry’s experience is any indication, the
case could lead to multibillion-dollar payouts, and force the federal government to
make greenhouse gas emission reductions a central priority (Oreskes and Conway). Although few legal observers expect the case to prevail, some believe that it has opened
the door to more favorable rulings because the court clearly acknowledged that there
has been injury to the youths and that the federal government has promoted fossil fuel
use despite the harm fossil fuels are known to cause (Banerjee et al). 45
In sum, working through the electoral system and through the courts are two avenues
that youth climate activists are exploring. Battles in these institutions require
determination and patience but offer more likelihood of long-term success. Indeed,
electing enough climate action proponents to Congress to enact laws may take years. A
case like Juliana vs. the United States has already been in the works for six years and may
not result in a victory. 3.1 A threat to the fossil fuel industry 47
One indication that the fossil fuel industry feels threatened is its draconian use of force
against groups of oil pipeline protesters, comprising significant numbers of youths
(Cagle). The Keystone XL and Dakota Access pipeline projects to transport Canadian tar E-rea, 18.2 | 2021 Youth climate activism in the United States 14 sands to Texas refineries are a case in point. Many powerful interests are at stake: the
federal government, to ensure energy supplies in the interest of the nation; the states
that the pipeline passes through, for the jobs and wealth that the project brings; the
corporations, to maximize profits from such projects. The perceived threat of the
protests, regarded as “dangerous” dissent, could then become the object of repression,
even criminalization. According to an article published by InsideClimate News and the
Washington Post, since January 2017 elected officials in at least thirty-one states have
proposed measures to limit the right to protest (Sadasivam). 48
For example, the Standing Rock Indian Reservation groups protested against the
construction of an oil pipeline that would despoil sacred burial sites and endanger their
drinking water (Kusnetz 22 August 2018). Despite legal action that was pending, the
Dakota Access Pipeline Company, Energy Transfer Partners, proceeded with
construction and brought in a private security firm which deployed dogs and pepper
spray against protesters. According to Democracy Now’s journalist Amy Goodman, who
filmed the conflict, the project had already faced months of resistance from the
Standing Rock Sioux tribe as well as members of nearly 100 more tribes from across the
U.S. and Canada (Democracy Now). Numerous protesters and Goodman were targeted
for arrest under new laws in North Dakota that criminalize protesting within a few feet
of a contested site. Since these confrontations in 2016, activists have increasingly been
treated as terrorists and arrests have become frequent (Cagle). "They're basically
trying to silence and minimize the impact of environmental organizations," said
Pamela Spees, a senior staff attorney at the Center for Constitutional Rights, which
represents activists in Louisiana (Kusnetz 22 August 2018). 3.2 A threat to the capitalist establishment 49
Furthermore, progressive climate activists integrate social justice and equity into their
calls for climate action, deeming that one is unattainable without the other. Climate
activists have values that come into conflict with society’s mainstream tenets – the set
of political values and ideals that constitute the bedrock of American identity. Sociologist Dennis C. Pirages defined the dominant social paradigm as comprising four
elements: a commitment to individualism, property rights and laissez-faire
government; faith in material abundance, progress and economic growth; faith in
science and technology; and a view of nature as something to be subdued (Pirages 37). The vast majority of environmentalists and climate activists contest at least two of
these beliefs: that of the eternal growth model and that of humans being superior to
nature (Dunlap et al). As these ideas run counter to the dominant social paradigm, they
put into question the extractive model on which the American economy is based. Surveys show that young generations believe less in humans’ ability to dominate
nature or in the limitless growth model. 50
This melding of the environmental with the social brings to mind the words of an early
environmentalist, Barry Commoner. In The Closing Circle, he spoke of the environmental
crisis in terms that are entirely applicable to the current situation:
Human beings have broken out of the circle of life, driven not by biological need,
but by the social organization which they have devised to “conquer” nature: means
of gaining wealth that are governed by requirements conflicting with those which
govern nature. The end result is the environmental crisis, a crisis of survival… the
world is being carried to the brink of ecological disaster… by the phalanx of 50
This melding of the environmental with the social brings to mind the words of an early
environmentalist, Barry Commoner. In The Closing Circle, he spoke of the environmental
crisis in terms that are entirely applicable to the current situation:
Human beings have broken out of the circle of life, driven not by biological need,
but by the social organization which they have devised to “conquer” nature: means
of gaining wealth that are governed by requirements conflicting with those which 50
This melding of the environmental with the social brings to mind the words of an early
environmentalist, Barry Commoner. 3.2 A threat to the capitalist establishment According to Naomi Klein,
Bernie Sanders, and many others, the neoconservative revolution flourished, sweeping
away as many environmental and trade regulations as possible, leaving in its wake a
hyper-consumerist society and a badly degraded planet. As Klein remarks, We have not done the things that are necessary to lower emissions because those
things fundamentally conflict with deregulated capitalism, the reigning ideology
for the entire period that we have been struggling to find a way out of this crisis. We are stuck because the actions that would give us the best chance of averting
catastrophe, and that would benefit the vast majority, are extremely threatening to
an elite minority that has a stranglehold over our economy, our political process,
and most of our media outlets. (Klein 2019 249) 3.2 A threat to the capitalist establishment In The Closing Circle, he spoke of the environmental
crisis in terms that are entirely applicable to the current situation:
Human beings have broken out of the circle of life, driven not by biological need,
but by the social organization which they have devised to “conquer” nature: means
of gaining wealth that are governed by requirements conflicting with those which
govern nature. The end result is the environmental crisis, a crisis of survival… the
world is being carried to the brink of ecological disaster… by the phalanx of Human beings have broken out of the circle of life, driven not by biological need,
but by the social organization which they have devised to “conquer” nature: means
of gaining wealth that are governed by requirements conflicting with those which
govern nature. The end result is the environmental crisis, a crisis of survival… the
world is being carried to the brink of ecological disaster… by the phalanx of E-rea, 18.2 | 2021 15 15 Youth climate activism in the United States powerful economic, political, and social forces that constitute the march of history. …sweeping social change can be designed only in the workshop of rational,
informed, collective social action. That we must act is now clear. (Commoner
222-23) powerful economic, political, and social forces that constitute the march of history. …sweeping social change can be designed only in the workshop of rational,
informed, collective social action. That we must act is now clear. (Commoner
222-23) powerful economic, political, and social forces that constitute the march of history. …sweeping social change can be designed only in the workshop of rational,
informed, collective social action. That we must act is now clear. (Commoner
222-23) 51
It is worth noting that, fifty years later, the conversation seems to be stuck in a time
warp: this statement could as easily have been written today, with “climate” in place of
“environmental.” What happened between 1971 and 2020? According to Naomi Klein,
Bernie Sanders, and many others, the neoconservative revolution flourished, sweeping
away as many environmental and trade regulations as possible, leaving in its wake a
hyper-consumerist society and a badly degraded planet. As Klein remarks, 51
It is worth noting that, fifty years later, the conversation seems to be stuck in a time
warp: this statement could as easily have been written today, with “climate” in place of
“environmental.” What happened between 1971 and 2020? 3.3 A threat to the political establishment: the Green New Deal Thus, the progressive wing of the Democratic Party faces opposition
in both houses of Congress – and not only with Republicans. 54
This longstanding congressional reticence to tackle the climate emergency has
undermined trust in the political system and galvanized youth activism. Youths like
Solei Yoder Salim, aged 15, said that, leading up to the November election, he was
spending five hours a day on phonebanking: “The Green New Deal is worth fighting for,
it’s important for the world and our country. I like coming together with my
community and other high schools, it’s important but also fun” (Lakhani). Even if Biden
was not their ideal candidate, 60% of 18-29-year-olds responded that they would vote
for him vs. 27% for Trump in the Fall 2020 Harvard Youth Poll (Ranalli). Many youths
saw the choice between Biden and Trump as an existential emergency, the former
representing the potential for a livable planet whereas the latter represented “the
apocalypse” (Lakhani). While youth climate activists were relieved to see Biden elected
and feel that their work had contributed to this victory, they remain skeptical: will the
current administration take the drastic measures necessary to avert the worst effects of
climate change? (Ebbs et al). 3.3 A threat to the political establishment: the Green New Deal 52
An alternative model that puts equity and respect for the natural environment over
growth and profits is a threat to those with an interest in perpetuating the current
model. The sheer number of people turning out to demonstrate their support for
climate action and the Green New Deal gives cause for worry to all the stakeholders in
the status quo of a fossil-fuel, hyper-consumptive growth model of society. This is
perhaps why the proposition of the Green New Deal by the progressive wing of the
Democratic Party has been soundly rejected, not only by Republicans, but also by the
Democratic Party establishment (Roberts 2018). The Sunrise Movement does not only
contest the status quo; these youths propose an alternative vision of society. Their
vision is detailed in the clean energy and job creation plan called the Green New Deal,
of which the Sunrise political director Evan Weber was one of the main architects
(Matthews et al). Inspired by Franklin Delano Roosevelt’s New Deal, the Green New Deal
is a program to achieve net-zero greenhouse gas emissions, secure clean air and water,
invest in the country’s infrastructure and industry, and create millions of good, high-
wage jobs in the process. According to Green New Dealers’ reckoning, this overhauling
of the nation’s economic and energy systems would also promote justice and equity
(Roberts 2019). 53
To these youth activists, most members of Congress seem either out of touch with
reality or fail to appreciate the urgency of the climate crisis. When youths approached
Senator Dianne Feinstein, a well-known Democratic senator from California, to obtain
her support for the Green New Deal, her dismissal made them realize that they could
not count on elected officials in Washington, D.C. to address the climate emergency
(Guardian 23 Feb 2019). The Republican and Democratic opposition charge that it would
cost trillions of dollars to accomplish. Seasoned Democratic politicians like Senators
Feinstein and Joe Manchin, a ranking member of the Senate Energy Committee, and
Representatives Speaker of the House Nancy Pelosi and the four co-chairs of the
House’s Climate Change Task Force all oppose the Green New Deal (Roberts 2019). The
House’s Climate Change Task Force published its alternative plan in June 2020, which is
more incremental and less disruptive of the status quo than the Green New Deal (House E-rea, 18.2 | 2021 16 Youth climate activism in the United States 16 Select Committee). 4. Biden’s response to climate activism and young
voters 55
As noted earlier, since Joe Biden’s election, the federal administration has signaled its
commitment to climate action. Appointments of highly qualified climate actors to key
positions like the heads of the Department of the Interior, Energy, the Environmental
Protection Agency, the Council on Environmental Quality, as well as the creation of two
new positions, Special Presidential Envoy for Climate and National Climate Advisor,
demonstrate a willingness to tackle the climate emergency. Second, Biden announced
that the United States would rejoin the Paris Agreement and commit to emissions
reductions goals and take on a leading role in the international fight against climate
change (Davenport & Friedman). Third, in March 2021, the President unveiled a $2.3-
trillion green infrastructure plan which focuses on rebuilding the country’s
infrastructure and shifts to greener energy and transportation, two prime polluting
sectors. While the bill may undergo necessary compromises in order to pass the Senate,
the Biden administration’s plan is far more comprehensive than many climate activists
imagined possible (Gardner). Fourth, President Biden hosted a Global Climate Change
Summit on 22 April 2021 and announced that the United States would reduce its
greenhouse gas emissions by 50%-52% below its 2005 emissions levels by 2030 (Mahtani
et al). 56
From the perspective of climate campaigners and in particular of youth climate
activists, this flurry of executive branch climate action is a long-awaited turn of events. The calls for action coming from youths on both sides of the political spectrum are
being answered, and the nonpartisan nature of these demands signals the potential for
American politics to move toward a less polarized approach. The youths’ calls in unison
for action against climate change confirm the “generationally shared values of truth,
empathy, and patriotism,” according to Nikayla Jefferson, of the Sunrise Movement
(Kahn). 56
From the perspective of climate campaigners and in particular of youth climate
activists, this flurry of executive branch climate action is a long-awaited turn of events. The calls for action coming from youths on both sides of the political spectrum are
being answered, and the nonpartisan nature of these demands signals the potential for
American politics to move toward a less polarized approach. The youths’ calls in unison
for action against climate change confirm the “generationally shared values of truth,
empathy, and patriotism,” according to Nikayla Jefferson, of the Sunrise Movement
(Kahn). BIBLIOGRAPHY BIBLIOGRAPHY 4. Biden’s response to climate activism and young
voters 57
From the perspective of elected officials, the young generations represent a significant
number of potential voters. Demographic forecasts predict that as early as 2028, Gen Z 57
From the perspective of elected officials, the young generations represent a significant
number of potential voters. Demographic forecasts predict that as early as 2028, Gen Z E-rea, 18.2 | 2021 17 Youth climate activism in the United States 17 (born since 1997) and millennials (born 1981-1996) will dominate the electorate: 49% vs. 46% comprised of baby boomers (born 1946-1964) and Gen X (born 1965-1980)
(Brownstein). According to the U.S. Census Bureau, voter turnout for the 2020 elections
was higher across all age groups, but the increase was greatest amongst young voters,
aged 18 to 34, rising from 49% to 57% of eligible citizens (Fabina). Higher turnout
indicates greater engagement and may prove to be a formative “stage in the process of
acquiring the skills necessary for political participation” (Jenkins et al 7). As Ruy
Texeira writes in the Atlantic, the Democratic Party has a golden opportunity to bring
the young voters into its fold, on condition that it opens up to their ideas and shares
leadership (Griffin et al). In an interview in August 2020, young conservative Benji
Backer warned that unless the Republican Party started dealing with the climate crisis,
it would lose scores of young members for whom the issue is primordial and
nonpartisan. 58
In sum, large numbers of American youths have joined the ranks of climate activists in
the last few years, particularly since the election of President Donald Trump. Their
actions have taken various forms, from street marches and school strikes to phone
banking and canvassing communities to get out the vote, to suing their governments,
both state and federal, for violating the public trust doctrine, to supporting the Green
New Deal. Characterized as “disruptive, dutiful or dangerous” dissent, their actions
helped elect progressive candidates in 2018 and 2020. These youth movements span the
political spectrum from progressive to conservative and, as a generation, are putting
substantial pressure on older elected officials to pass legislation to limit emissions and
ensure an equitable society on a livable planet. 4. Biden’s response to climate activism and young
voters The victory of Joe Biden and Kamala
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Changing Climate: Impacts, Implications, and Guidance. American Psychological Association, Climate
for Health and ecoAmerica, March 2017, https://www.apa.org/news/press/releases/2017/03/
mental-health-climate.pdf. Accessed 31 May 2021. Dunlap, Riley E., Aaron M. McCright and Jerrod H. Yarosh. “The Political Divide on Climate
Change: Partisan Polarization Widens in the U.S.” Environment 58, no.5, 2016: 4–22. Fagan, Moira and Christine Huang. “A look at how people around the world view climate
change.” Pew Research, 18 April 2019, https://www.pewresearch.org/fact-tank/2019/04/18/a-
look-at-how-people-around-the-world-view-climate-change. Accessed 5 Nov 2020. Fagan, Moira and Christine Huang. “A look at how people around the world view climate
change.” Pew Research, 18 April 2019, https://www.pewresearch.org/fact-tank/2019/04/18/a-
look-at-how-people-around-the-world-view-climate-change. Accessed 5 Nov 2020. Funk, Cary and Meg Hefferon. “U.S. Public Views on Climate and Energy.” Pew Research, 25
November 2019, https://www.pewresearch.org/science/2019/11/25/u-s-public-views-on-
climate-and-energy/. Accessed 31 May 2021. Funk, Cary and Meg Hefferon. “U.S. Public Views on Climate and Energy.” Pew Research, 25
November 2019, https://www.pewresearch.org/science/2019/11/25/u-s-public-views-on-
climate-and-energy/. Accessed 31 May 2021. E-rea, 18.2 | 2021 21 Youth climate activism in the United States Fry, Richard. “Millennials Overtake Baby Boomers as America’s Largest Generation.” Pew
Research, 28 Apr 2020, https://www.pewresearch.org/fact-tank/2020/04/28/millennials-
overtake-baby-boomers-as-americas-largest-generation. Accessed 2 Nov 2020. Fry, Richard. “Millennials Overtake Baby Boomers as America’s Largest Generation.” Pew
Research, 28 Apr 2020, https://www.pewresearch.org/fact-tank/2020/04/28/millennials-
overtake-baby-boomers-as-americas-largest-generation. Accessed 2 Nov 2020. Griffin, Rob, William H. Frey and Ruy Teixeira. “America’s Electoral Future: The Coming
Generational Transformation.” Center for American Progress, 19 Oct 2020, https://
www.americanprogress.org/issues/politics-and-elections/reports/2020/10/19/491870/americas-
electoral-future-3. Accessed 2 Nov 2020. Huizen, Jennifer. “What to know about eco-anxiety.” Medical News Today, 19 Dec 2019, https://
www.medicalnewstoday.com/articles/327354. Accessed 8 May 2021. Ranalli, Ralph. US Politics “Young voters are highly motivated, flocking to Biden, and worried about the
economy.” Harvard Kennedy School, 23 Sept 2020 https://www.hks.harvard.edu/faculty-
research/policy-topics/politics/young-voters-are-highly-motivated-flocking-biden-and. Accessed 2 Nov 2020. Saad, Lydia. “Global Warming Concern at Three-Decade High in US.” Gallup, 14 March 2017,
www.gallup.com/poll/206030/global-warming-concern-three-decade-high.aspx. Accessed 31
May 2021. Durr, Sarah. “New Poll: Climate Change, Gun Violence the Defining Issues for Young Voters.” 24
Jan 2020, https://www.usmayors.org/2020/01/24/new-poll-climate-change-gun-violence-the-
defining-issues-for-young-voters/. Accessed 10 Nov 2020. Wu, Judy, Gaelen Snell and Hasina Samji. “Climate anxiety in young people: a call to action,” The
Lancet, Vol 4, Issue 10, 1 Oct 2020 https://www.thelancet.com/journals/lanplh/article/
PIIS2542-5196(20)30223-0/fulltext. Accessed 8 May 2021. Banerjee, Neela, Lisa Song and David Hasemyer. Exxon: The Road Not Taken, InsideClimate News,
2015. Climate Interactive, Climate Scoreboard. https://www.climateinteractive.org/ci-topics/climate-
energy/scoreboard/frequently-asked-questions/. Accessed 17 Nov 2020. National Centers for Environmental Information (NCEI) formerly National Climatic Data Center
(NCDC) of the National Oceanic and Atmospheric Administration (NOAA). Extreme Events https://
www.ncdc.noaa.gov/climate-information/extreme-events. Accessed 17 Nov 2020. Atif Ansar, Ben Caldecott and James Tilbury. “Stranded assets and the fossil fuel divestment
campaign: what does divestment mean for the valuation of fossil fuel assets?” University of
Oxford, 11 March 2015, https://www.smithschool.ox.ac.uk/publications/reports/SAP-
divestment-report-final.pdf. Accessed 5 May 2021. O’Daly, Britton. “Climate Change Protesters Disrupt Yale-Harvard Football Game.” The New York
Times, 23 Nov 2019, https://www.nytimes.com/2019/11/23/us/harvard-yale-game-protest.html. Accessed 5 Nov 2020. Watanabe, Teresa. “UC becomes nation’s largest university to divest fully from fossil fuels.” Los
Angeles Times, 19 May 2020, https://www.latimes.com/california/story/2020-05-19/uc-fossil-fuel-
divest-climate-change. Accessed 31 May 2021. NOTES 1. The principle that certain natural and cultural resources are preserved for public use, and that
the government owns and must protect and maintain these resources for the public's use (Legal
Information Institute). https://www.law.cornell.edu/wex/public_trust_doctrine. Accessed 31
May 2021. U.S. Youth Climate Strike. strikewithus.org
Young Evangelicals for Climate Action. yecaction.org
Zero Hour. thisiszerohour.org U.S. Youth Climate Strike. strikewithus.org
Young Evangelicals for Climate Action. yecaction.org
Zero Hour. thisiszerohour.org U.S. Youth Climate Strike. strikewithus.org Pipeline debate E-rea, 18.2 | 2021 22 Youth climate activism in the United States “Dakota Access Pipeline Company Attacks Native American Protesters with Dogs & Pepper
Spray.” Democracy Now, Sep 4 2016, https://www.youtube.com/watch?v=kuZcx2zEo4k, 4. Accessed 14 Nov 2020. Cagle, Susie. “Protesters as terrorists': growing number of states turn anti-pipeline activism into
a crime.” Guardian, 8 July 2019, https://www.theguardian.com/environment/2019/jul/08/wave-
of-new-laws-aim-to-stifle-anti-pipeline-protests-activists-say. Accessed 31 May 2021. Kusnetz, Nicolas. “How Energy Companies and Allies Are Turning the Law Against Protesters.”
InsideClimate News, 22 Aug 2018, https://insideclimatenews.org/news/22082018/pipeline-protest-
laws-felony-free-speech-arrests-first-amendment-oklahoma-iowa-louisiana. Accessed 14 Nov
2020. Sadasivam, Naveena. “After Standing Rock, protesting pipelines can get you a decade in prison
and $100K in fines.” Grist, 14 May 2019, https://grist.org/article/after-standing-rock-protesting-
pipelines-can-get-you-a-decade-in-prison-and-100k-in-fines/. Accessed 31 May 2021. Other References Sadasivam, Naveena. “After Standing Rock, protesting pipelines can get you a decade in prison
and $100K in fines.” Grist, 14 May 2019, https://grist.org/article/after-standing-rock-protesting-
pipelines-can-get-you-a-decade-in-prison-and-100k-in-fines/. Accessed 31 May 2021. Other References Brulle, Robert J. “The U.S. Environmental Movement”, Twenty Lessons in Environmental Sociology,
New York, NY, Oxford University Press, 2013. Commoner, Barry. The Closing Circle, New York, Mineola, Dover Publications, 1971. Earth Day Network. www.earthday.net/education. Earth Day Network. www.earthday.net/education. Gamber-Thompson, Liana. “Bypassing the Ballot Box,” By Any Media Necessary: The New Youth
Activism, New York University Press, 2016, 219-252. Heller, Nathan. “Is There any Point to Protesting?” New Yorker, 14 Aug 2017, https://
www.newyorker.com/magazine/2017/08/21/is-there-any-point-to-protesting. Accessed 31 May
2021. Huret, Romain and Cédric Tourbe. “Climat, une guerre américaine : quand la ‘wilderness’ tourne
au drame.” Documentary film, 2020. Jenkins, Henry, Sangita Shresthova, Liana Gamber-Thompson, Neta Kligler-Vilenchik and Arely
Zimmerman. By Any Media Necessary: The New Youth Activism. New York University Press, 2016. Zimmerman. By Any Media Necessary: The New Youth Activism. New York University Press, 2016. Oreskes, Naomi and Erik M. Conway. Merchants of Doubt. Bloomsbury Press, 2010. Pirages, Dennis C. Sustainable Society: Implications for Limited Growth. Praeger Publishers, 1977. Shellenberger, Michael and Ted Nordhaus. The Death of Environmentalism. 2004, https://
static1.squarespace.com/static/56a45d683b0be33df885def6/t/5c75569d104c7bbf4b4ef48e/
1551194797246/Death_of_Environmentalism.pdf. Accessed 31 May 2021. Tilly, Charles and Sidney Tarrow. Contentious Politics, Oxford University Press, New York, 2007. Youth climate associations
American Conservation Coalition. acc.eco, climatesolution.eco
Divest from Fossil Fuels. gofossilfree.org
Earth Uprising. earthuprising.org
No Fossil Fuel Money Pledge. nofossilfuelmoney.org
One Mind Youth Movement. omym.org
Sunrise Movement. sunrisemovement.org, sunrisemovement.org/green-new-deal
E-rea 18 2 | 2021 Oreskes, Naomi and Erik M. Conway. Merchants of Doubt. Bloomsbury Press, 2010. Pirages, Dennis C. Sustainable Society: Implications for Limited Growth. Praeger Publishers, 1977. Pipeline debate E-rea, 18.2 | 2021 Youth climate activism in the United States 23 INDEX Keywords: youth, climate, dissent, disruption, activism, fossil fuels, environment, Green New
Deal, Sunrise Movement, protest, divestment, justice
Mots-clés: Mots-clés: jeunesse, climat, activisme, énergies fossiles, environnement, Green New
Deal, Sunrise Movement, justice, contestation, désinvestissement Keywords: youth, climate, dissent, disruption, activism, fossil fuels, environment, Green New
Deal, Sunrise Movement, protest, divestment, justice
Mots-clés: Mots-clés: jeunesse, climat, activisme, énergies fossiles, environnement, Green New
Deal, Sunrise Movement, justice, contestation, désinvestissement Keywords: youth, climate, dissent, disruption, activism, fossil fuels, environment, Green New
Deal, Sunrise Movement, protest, divestment, justice
Mots-clés: Mots-clés: jeunesse, climat, activisme, énergies fossiles, environnement, Green New
Deal, Sunrise Movement, justice, contestation, désinvestissement Keywords: youth, climate, dissent, disruption, activism, fossil fuels, environment, Green New
Deal, Sunrise Movement, protest, divestment, justice ABSTRACTS E-rea, 18.2 | 2021 24 Youth climate activism in the United States ABSTRACTS Youths are on the front line when considering their future on a planet that is becoming less and
less livable. As the frequency and intensity of extreme weather events devastate regions and
impact millions, the unapologetic anti-environmentalism of the Trump administration may have
been the ultimate spark that ignited mass action from the young generations. Realizing, too, that
many Congress members lack the political will to effect change, an increasing number of
passionate youth leaders have initiated movements to raise awareness about the urgency of
acting to mitigate the worst effects of climate change. Ranging from classic street protests to
electoral canvassing to litigation, their actions may be characterized in terms of “disruptive,
dutiful or dangerous dissent” (O’Brien et al). They have already played a key role in electing
climate-conscious, progressive candidates, put pressure on governments through lawsuits and
proposed an overhaul of the American economy on greener, more equitable terms by supporting
the Green New Deal. In 2019 millennials (37% of US voters) surpassed baby boomers as the largest
voting demographic group and could have a significant impact on climate policy. Très préoccupés par le changement climatique, les jeunes sont en première ligne sur une planète
qui devient de moins en moins vivable. Alors que la fréquence et l’intensité des catastrophes
naturelles ont un impact dévastateur sur des régions et des millions d’habitants, l’anti-
environnementalisme avéré de l’administration Trump a sans doute été l’étincelle ultime
déclenchant une mobilisation de masse des jeunes Américains. Ayant fait le constat que le
Congrès manque de volonté politique pour initier le changement, un nombre croissant de
leaders, jeunes et passionnés, ont créé des mouvements pour informer le public de l’urgence de la
situation. Ils agissent dans l’optique de réduire les conséquences les plus graves du
réchauffement de la terre. Leurs actions contestataires peuvent se ranger dans trois catégories :
« disruptive, dutiful, dangerous » (O’Brien et al). Ces jeunes ont déjà joué un rôle clef dans les
victoires électorales de candidats progressistes
et pro-climat ; ils ont poursuivi des
gouvernements en justice ; et ils ont proposé une refonte de l’économie américaine en termes
verts et équitables, le « Green New Deal. » En 2019, la génération née entre 1981 et 1996 a dépassé
celle des baby-boomers pour devenir le groupe démographique dominant, ce qui pourrait avoir un
impact important sur la politique climatique. MELANIE MEUNIER Melanie Meunier is an American language and civilization teacher and researcher at Sciences Po
Strasbourg where she teaches courses on environmental politics, climate change and the
evolution of the media. She received degrees from Dartmouth College (USA), Sciences Po Paris
and the University of Strasbourg, and wrote a doctoral dissertation on American environmental
politics. E-rea, 18.2 | 2021
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Prophylactic intracameral vancomycin: efficacy in preventing endophthalmitis after cataract surgery
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IMC journal of medical science
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cc-by
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Address for Correspondence:
Dr. Manash Kumar Goswami, Associate Professor, Department of Ophthalmology, BIRDEM General Hospital,
122 Kazi Nazrul Islam Avenue, Shahbag, Dhaka. Email: manashkg@yahoo.com Original Article Original Article Introduction Intraocular infection following cataract surgery and
lens
implantation
is
a
rare
but
dreadful
complication
that
can
have
devastating
consequences for sight. The Endophthalmitis
Vitrectomy Study (EVS) estimated that up to half
of patients developing endophthalmitis following
cataract surgery had visual acuity worse than 20/40
and 15% had worse than 5/200 [1]. The incidence
of endophthalmitis following cataract surgery
varies between 0.04 and 0.27% [2-4]. Even though
several risk factors have been identified, this
complication is often unexpected, with variable
response to standard treatment. The number of
cataract surgeries is expected to rise with an
increasing aging population in Bangladesh; the
burden of endophthalmitis is likely to rise. A
robust preventative strategy is needed to contain Abstract Background and objective: Post Operative endophthalmitis is rare but devastating complication
in ocular surgery. The present study determined the efficacy of intracameral vancomycin after
phaco-emusification cataract surgery to prevent endophthalmitis. Method: A total of 768 cases who had undergone phaco-emusification cataract surgery were
included in the study. Every alternate patient received 0.5 ml injection of vancomycin (1mg in
0.1 ml) in the anterior chamber after completion of phaco-emulcification and formation of
anterior chamber. All the patients were examined for symptoms and signs of bacterial
endophthalmitis at 24 hrs, 7 days, 15 days and subsequently at 1, 3 and 6 months following
surgery. Results: No endophthalmitis case was recorded at any time period during 6 month follow up in
either group. However, significantly higher number of cases in vancomycin group had cells in
anterior chamber and disturbances in visual acuity at day 15 following surgery. Conclusion: Vancomycin did not have any prophylactic role in preventing endophthalmitis. Proper aseptic measures are important to prevent any infection in ocular surgery. IMC J Med Sci 2016; 10(1): 24-28 this serious complication. The European Society of
Cataract and Refractive Surgeons (ESCRS) in a
multinational, partially-masked placebo-controlled
trial have provided strong evidence for using
intracameral antibiotics in preventing postoperative
endophthalmitis following cataract surgery [5]. In
this study, we determined the prophylactic effect of
vancomycin injection in the anterior chamber at the
end of phacoemulsification surgery in preventing
post operative bacterial endophthalmitis. Manash Kumar Goswami, Md. Ferdous Hossain and Md. Asaduzzaman Department of Ophthalmology, Bangladesh Institute of Research and Rehabilitation in Diabetes,
Endocrine and Metabolic Disorder (BIRDEM), Dhaka Prophylactic intracameral vancomycin: efficacy in preventing
endophthalmitis after cataract surgery Manash Kumar Goswami, Md. Ferdous Hossain and Md. Asaduzzaman Original Article Original Article Methods A total of 768 cases undergoing phacoemulsification
cataract surgery from January 2014 to December
2015 in the Department of Ophthalmology at
BIRDEM general hospital were enrolled in the
study. Every alternate eye (patient) received IMC J Med Sci 2016; 10(1): 24-28 Goswami MK et al. 25 day 15 and at 6 month were 44 and 23 cases in
control group; 10 and 15 cases in vancomycin
group respectively. No patients in any group
developed features of bacterial endophthalmitis
during this period. At 24 hrs, significantly higher
proportion of cases had cells in anterior chamber in
vancomycin group compared to control (22.3% vs
9.3%; p<0.05). Visual acuity was significantly
(p<0.05) poor in vancomycin group (20.6%)
compared to control (8.3%) at 15 day follow up. However, the visual acuity was similar in both
groups at 6 month. intracameral injection of vancomycin (vancomycin
group)
while
others
did
not
receive
any
intracameral antibiotic and served as a control. The
cases in control arm were treated according to the
exiting protocol followed in the hospital for
cataract surgery as described below. In the anesthetic room, 10 minutes prior to cataract
surgery, each patient had periocular skin cleaning
with 5% povidone iodine. Two drops of 5%
povidone iodine were instilled into the conjunctival
sac at this stage. The surgeon, after scrubbing and
draping, used 5% povidone iodine to cleanse the
eyelids and periocular skin. The eyelids including
the eye lashes were draped. All cataract surgeries
were performed in a dedicated ophthalmic theatre
assisted by resident doctor and ophthalmic specialist
nurses. Phacoemulsification was performed using
infiniti machine (Alcon). Every alternate patient got
0.5 ml injection of vancomycin (1mg in 0.1 ml) in
the anterior chamber of the eye after completion of
phaco-emulcification and formation of anterior
chamber
[5]. Postoperatively,
patients
were
prescribed prednisolone acetate 1% eye drop two-
hourly for two weeks which was then tapered off
over a further four weeks. In addition, all cases
received topical moxifloxacin eye drop two hourly
for 1 week and 6 hourly for 2 weeks. All the
patients were examined for symptoms and signs of
bacterial endophthalmitis [4] at 24 hrs, 7days, and
15 days and subsequently at 1, 3 and 6 months
following surgery. Methods Table-1: Results of follow up of study population at
24 hrs, 15 day and 6 month following phacoemulsification
cataract surgery
Parameters
Without
vancomycin
(Control)
N (%)
With
vancomycin
N (%)
At 24 hrs
Number of cases (n)
Visual acuity
6/6-6/9
6/12-6/24
6/36-above
Conjunctival congestion
A/C cells ++
Endophthalmitis
At 15 day
Number of cases
Drop out
Visual acuity
6/6-6/9
6/12-6/24
6/36-above
Endophthalmitis
At 6 month
Number of case
Drop out
Visual acuity
6/6-6/9
6/12-6/24
6/36-above
Endophthalmitis
384
201 (52.3)
105 (27.3)
78 (20.3)
67 (17.4)
36 (9.3)
0
340
44
308 (90.6)
25 (7.4)
7 (2.1)
0
361
23
318 (88.1)
37 (10.2)
6 (1.7)
0
384
187 (48.6)
151 (39.3)
46 (11.9)
78 (20.3)
86 (22.3)
0
374
10
297 (79.4)
47 (12.6)
30 (8.0)
0
369
15
315 (85.4)
49 (13.3)
5 (1.4)
0
Note: A/C: anterior chamber; p<0.05 when compared
between vancomycin and control group for visual acuity
at day 15. Table-1: Results of follow up of study population at
24 hrs, 15 day and 6 month following phacoemulsification
cataract surgery The study was approved by the IRB of BADAS
and informed written consent was obtained from
each patient. Discussion operation theater. In the present series there was
no single case of endophthalmitis in either group. However,
cells
in
the
anterior
chamber
immediately following surgery was significantly
higher in vancomycin group compared to control
who did not receive vancomycin. Similarly, the
visual acuity was significantly poor in vancomycin
group at 15 day follow up. But the visual acuity in
vancomycin group gradually improved over time
and was same as the control at 6 month. The
reduced visual acuity observed among the patients
in both group could be due to the presence of other
co-morbid
conditions
like
diabetes,
aging,
hypertension, etc. Though minimal, patient should
be monitored if vancomycin is used as prophylactic
antibiotic in cataract surgery. There was no
adverse effect like cystoid macular edema in
intracameral
vancomycin
group. Significant
increase in incidence of cystoid macular edema has
been reported with the use of intracameral
vancomycin
during
extracapsular
cataract
extraction [20]. It is interesting to note that no
endophthalmitis has occurred in our cases who did
not receive vancomycin as prophylaxis indicating
that proper aseptic technique was adequate alone to
prevent endophthalmitis and other infections
following eye surgery. A recent survey on
antibiotic prophylaxis practice after cataract
surgery in the UK has reported that 37% of the
respondents did not use intracameral antibiotic
prophylaxis [21]. Anterior segment intraocular surgery frequently
introduces bacteria into the anterior chamber [6]. In 65% to 100% of healthy subjects, conjunctiva
and adnexa were found to be colonized by
microorganisms with the potential to cause
endophthalmitis [7, 8]. In 82% of cases of
endophthalmitis, the organism isolated was the
same species as that found in the conjunctiva and
lids of the same patient [9]. In the 420 cases of
endophthalmitis in the EVS series, 70% of the
isolates were coagulase negative staphylococci. Prophylactic measures to reduce postoperative
endophthalmitis after cataract surgery are wide and
varied. Several perioperative and postoperative
methods have been recognized. Preoperative iodine
antisepsis
combined
with
preoperative
and
postoperative
topical
antibiotic
therapy
is
considered the standard of care for this purpose
[10]. In the last decade intracameral administration
of antibiotics has evolved as a prophylactic to
prevent postoperative endophthalmitis after cataract
surgery, claiming superior effectiveness compared
with standard care. Intracameral antibiotics can
achieve high concentrations in the anterior chamber
but have the potential to cause corneal endothelial
toxicity
[11]. Discussion However,
cefuroxime
and
vancomycin have been reported safe on human
corneal
endothelial
cells
in
clinically
used
concentration, but at higher concentrations it could
cause irreversible cell death. The present study demonstrated that proper pre and
per operative aseptic measures together with the
post operative use of standard topical antibiotics is
adequate to prevent the bacterial endophthalmitis in
cataract surgery. Routine use of prophylactic
intracameral vancomycin did not have any additive
value for the prevention of post operative bacterial
endophthalmitis. The choice of intracameral antibiotic prophylaxis
appears to be empirical, based on the fact that the
majority of isolates are Gram-positive organisms. The
first
report
of
intracameral
antibiotic
prophylaxis with gentamicin was by Peyman et al
[12]. Later, Gimbel et al [13] reported no case of
endophthalmitis in a series of 12,000 patients after
using an infusion fluid of gentamicin together with
vancomycin during cataract surgery. The choice of
prophylactic
antibiotics
included
cefuroxime,
cefazolin and vancomycin based on the pattern of
organisms, antibiotic resistance profile, cost and
possible adverse effects [14-19]. Results A total of 768 cases were enrolled in the study of
which 384 were in vancomycin group and 384
were in control group. The age range of the study
population
was
45-80
years. Male
female
distribution in vancomycin group was 283 and 101
respectively while in control group it was 237 and
147. All had type 2 diabetes mellitus of various
durations. During the follow up, visual acuity,
conjunctival congestion, cells in the anterior
chamber and features of endophthalmitis were
recorded. Table 1 shows the results of follow up at
24 hrs, 15 day and 6 month. Lost to follow up at 26 IMC J Med Sci 2016; 10(1): 24-28 Goswami MK et al. References 1. Endophthalmitis Vitrectomy Study Group. Results of the Endophthalmitis Vitrectomy
Study: A randomized trial of immediate
vitrectomy and of intravenous antibiotics for
the
treatment
of
postoperative
bacterial
endophthalmitis. Arch Ophthalmol 1995; 113:
1479–1496. [PubMed] In our study, we serially enrolled 384 patients
undergoing phacoemulsification cataract surgery at
BIRDEM general hospital over two year’s period. Meticulous aseptic technique was followed in the IMC J Med Sci 2016; 10(1): 24-28 Goswami MK et al. 2. Taban M, Beherens A, Newcomb RL, et al. Acute
endophthalmitis
following
cataract
surgery:
A
systematic
review
of
the
literature. Arch Ophthalmol 2005; 123: 613–
620. [PubMed] 10. Ciulla TA, Starr MB, Masket S. Bacterial
endophthalmitis
prophylaxis
for
cataract
surgery:
An
evidence-based
update. Ophthalmology 2002: 10913-10924. [PubMed] 11. Yoeruek E, Spitzer MS, Saygili O, et al. Comparison of in vitro safety profiles of
vancomycin and cefuroxime on human corneal
endothelial cells for intracameral use. J
Cataract
Refract
Surg 2008;
34:
2139-
2145. [PubMed] 3. Hatch WV, Cernat G, Wong D, Devenyi R,
Bell
CM. Risk
factors
for
acute
endophthalmitis after cataract surgery: A
population-based study. Ophthalmology 2009;
116: 425-430. [PubMed] 12. Peyman GA, Sathar MI, May DR. Intraocular
gentamicin as intraoperative prophylaxis in
South India eye camps. Br J Ophthalmol 1977;
61: 260-262. [PMC free article] [PubMed] 4. Miller JJ, Scott IU, Flynn HW, Jr, Smiddy
WE, Newton J, Miller D. Acute onset
endophthalmitis after cataract surgery (2000–
2004): Incidence, clinical settings, and visual
acuity
outcomes
after
treatment. Am
J
Ophthalmol 2005; 139: 983-987. [PubMed] 13. Gimbel HV, Sun R, DeBroff BM. Prophylactic
intracameral
antibiotics
during
cataract
surgery: The incidence of endophthalmitis and
corneal endothelial cell loss. Eur J Implant
Refract Surg 1994; 6: 280-285. 5. Barry P, Seal DV, Gettinby G, Lees F,
Peterson M, Revie CW. ESCRS study of
prophylaxis of postoperative endophthalmitis
after cataract surgery: Preliminary report of
principal results from a European multicenter
study; the ESCRS Endophthalmitis Study
Group. J Cataract Refract Surg 2006; 32: 407-
410. [PubMed] 14. Garat M, Moser CL, Alonso-Tarres C,
Martin-Baranera M, Alberdi A. Intracameral
cefazolin to prevent endophthalmitis in cataract
surgery: 3-year retrospective study. J Cataract
Refract Surg 2005; 31: 2230-2234. [PubMed] 6. Dickey JB, Thompson KD, Jay WN. Anterior
chamber aspirate cultures after uncomplicated
cataract surgery. Am J Ophthalmol 1991; 112:
278-282. [PubMed] 15. Montan PG, Wejde G, Setterquist H, Rylander
M, Zetterstom C. Prophylactic intracameral
cefuroxime: Evaluation of safety and kinetics
in cataract surgery. References J Cataract Refract Surg
2002; 28: 982-987. [PubMed] 7. Speaker MG, Milch FA, Shah MK, Eisner W,
Kreiswirth BN. Role of external bacterial flora
in the pathogenesis of acute postoperative
endophthalmitis. Ophthalmology
1991;
98:
639-649. [PubMed] 16. Hospital Infection Control Practices Advisory
Committee (HICAC) Recommendations for
preventing
the
spread
of
vancomycin
resistance. Infect Control Hosp Epidemiol
1995; 16: 105–113. [PubMed] 8. Boes DA, Lindquist TD, Firtsche TR, Kalima
RE. Effects of povidone iodine chemical
preparation and saline irrigation on the
perlimbal flora. Ophthalmology 1992; 99:
1569-1573. [PubMed] 17. Garat M, Moser CL, Alonso-Tarres C,
Martin-Baranera
M,
Alonso-Tarres
C,
Alvarez-Rubio L. Prophylactic intracameral
cefazolin
after
cataract
surgery:
Endophthalmitis risk reduction and safety
results in a 6-year study. J Cataract Refract
Surg 2009; 35: 637-642. [PubMed] 9. Bannerman TL, Rhoden DL, McAllister SK,
Miller JM, Wilson LA. The source of
coagulase-negative
staphylococci
in
the
Endophthalmitis
Vitrectomy
Study:
A
comparison of eyelid and intraocular isolates
using pulsed-field gel electrophoresis: The
Endophthalmitis
Vitrectomy
Study
Group. Arch Ophthalmol 1997; 115: 357-
361. [PubMed] 18. Montan PG, Wejde G, Koranyi G, Rylander
M. Prophylactic intracameral cefuroxime:
efficacy in preventing endophthalmitis after
cataract surgery. J Cataract Refract Surg
2002; 28: 977-981. [PubMed] 28 IMC J Med Sci 2016; 10(1): 24-28 28 IMC J Med Sci 2016; 10(1): 24-28 Goswami MK et al. Cystoid macular edema after cataract surgery
with intraocular vancomycin. Ophthalmology
1999; 106(9): 1660-1664. [PubMed] 19. Seal DV, Barry P, Gettinby G, et al. ESCRS
study
of
prophylaxis
of
postoperative
endophthalmitis after cataract surgery: Case
for a European multicenter study; the ESCRS
Endophthalmitis Study Group. J Cataract
Refract Surg 2006; 32: 396-406. [PubMed] 21. Gore DM, Angunawela RI, Little BC. United
Kingdom survey of antibiotic prophylaxis
practice after publication of the ESCRS
Endophthalmitis Study. J Cataract Refract
Surg 2009; 35: 770-773. [PubMed] 20. Axer-Siegel R, Stiebel-Kalish H, Rosenblatt I,
Strassmann E, Yassur Y, Weinberger D.
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Deciphering Functions of Intracellular Formaldehyde: Linking Cancer and Aldehyde Metabolism
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Biochemistry
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cc-by
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Deciphering Functions of Intracellular Formaldehyde
- Linking Cancer and Aldehyde Metabolism Richard J. Hopkinsona and Christopher J. Schofieldb* aLeicester Institute of Chemical and Structural Biology, University of Leicester, Henry Wellcome Building, Lancaster
Road, Leicester, LE1 7RH, United Kingdom. aLeicester Institute of Chemical and Structural Biology, University of Leicester, Henry Wellcome Building, Lancaster
Road, Leicester, LE1 7RH, United Kingdom. bDepartment of Chemistry, University of Oxford, Chemistry Research Laboratory, 12 Mansfield Road, Oxford, OX1
3TA, United Kingdom. E-mail: christopher.schofield@chem.ox.ac.uk Formaldehyde, the simplest aldehyde, is an environmental pollutant and human toxin. Acute
exposure to exogenous formaldehyde can cause irritation, nausea, renal failure, cardiac
arrhythmia, and coma. Chronic formaldehyde exposure correlates with increased cancer
incidence, in particular of nasopharyngeal cancer and leukaemia. In addition to exogenous
sources, formaldehyde is produced endogenously in cells; eukaryotic pathways producing
formaldehyde include xenobiotic metabolism and enzyme-catalysed N-methyl demethylation
of the N-methylated histone and DNA components of chromatin, as well as of RNA. Thus,
endogenously produced formaldehyde may have biological roles; there have been very few
studies to understand such functions at the biochemical level and even fewer connecting the
biochemistry of formaldehyde with physiology. The carbonyl group of formaldehyde is electrophilic, reacting efficiently with nucleophiles,
including water; in aqueous solution, formaldehyde is predominantly in its hydrated form,
(H2C(OH)2). It has long been known that reactions of formaldehyde with biologically relevant
nucleophiles have potential for complexity, such as the formation of oligomeric, cyclised, and
disproportionated products, including via Mannich and Cannizzaro type reactions.1, 2 Many,
but not all, of formaldehyde’s reactions, including hydration, are readily reversible with the
degree of reversibility depending on the nucleophile, conditions, and nature of the reaction
product. Formaldehyde’s toxicity is proposed to result from its reaction with nucleophiles in cells, i.e. with nucleic acid bases and nucleophilic amino acid side-chains (such as the cysteinyl thiol
and lysyl Nε-amino groups). Reactions with small molecules are important in formaldehyde
metabolism and may be relevant to its pathophysiological effects. Formaldehyde detoxification
involves its reaction with nucleophilic thiols: in plants, animals, and some bacteria, formaldehyde reacts with glutathione to give S-hydroxymethylglutathione, which is the
substrate for an NAD-dependent dehydrogenase (ADH5 in humans). The product, S-
formylglutathione, is then subjected to enzymatic hydrolysis, giving formate, which is less
reactive than formaldehyde, and recycling glutathione (Figure 1). A similar pathway in
mycobacteria uses mycothiol instead of glutathione. Figure 1. Recent work has shown how formaldehyde links the glutathione and tetrahydrofolate
(THF) ‘metabolic systems’ (only selected elements of these are shown). Deciphering Functions of Intracellular Formaldehyde
- Linking Cancer and Aldehyde Metabolism HCHO is toxic above
threshold levels and is detoxified via its reaction with the cysteinyl thiol of glutathione. HCHO
can also act as a C1 precursor for THF-mediated metabolism. THF and some of its derivatives
are susceptible to oxidation, releasing formaldehyde (dashed arrows). SHMT, serine
hydroxymethyltransferase; ADH5, alcohol dehydrogenase 5. Figure 1. Recent work has shown how formaldehyde links the glutathione and tetrahydrofolate
(THF) ‘metabolic systems’ (only selected elements of these are shown). HCHO is toxic above
threshold levels and is detoxified via its reaction with the cysteinyl thiol of glutathione. HCHO
can also act as a C1 precursor for THF-mediated metabolism. THF and some of its derivatives
are susceptible to oxidation, releasing formaldehyde (dashed arrows). SHMT, serine
hydroxymethyltransferase; ADH5, alcohol dehydrogenase 5. Figure 1. Recent work has shown how formaldehyde links the glutathione and tetrahydrofolate
(THF) ‘metabolic systems’ (only selected elements of these are shown). HCHO is toxic above
threshold levels and is detoxified via its reaction with the cysteinyl thiol of glutathione. HCHO
can also act as a C1 precursor for THF-mediated metabolism. THF and some of its derivatives
are susceptible to oxidation, releasing formaldehyde (dashed arrows). SHMT, serine
hydroxymethyltransferase; ADH5, alcohol dehydrogenase 5. Insights into the mechanisms by which elevated levels of formaldehyde and acetaldehyde
cause toxicity have emerged from ongoing studies from K.J. Patel and co-workers concerning
the origins of Fanconi Anaemia (FA). FA is a rare genetic disorder leading to an increased
cancer risk, which is characterised by mutations causing deficiencies in a specific DNA Insights into the mechanisms by which elevated levels of formaldehyde and acetaldehyde
cause toxicity have emerged from ongoing studies from K.J. Patel and co-workers concerning
the origins of Fanconi Anaemia (FA). FA is a rare genetic disorder leading to an increased
cancer risk, which is characterised by mutations causing deficiencies in a specific DNA damage repair pathway. In the breakthrough work, robust evidence linking the FA-associated
DNA repair pathway and impaired aldehyde metabolism has been accrued. The research
demonstrates that a functional glutathione-dependent formaldehyde metabolism pathway is
required for survival of FA models (Rosado et al).3 The observations suggest that elevated
levels of endogenous formaldehyde lead to DNA damage, which is not tolerated in FA repair-
deficient cells. The initial work has been supported by subsequent studies with ADH5-deficient
FA mice (Pontel et al),4 which manifest toxic phenotypes including kidney failure, bone marrow
dysfunction, and liver cancer. Deciphering Functions of Intracellular Formaldehyde
- Linking Cancer and Aldehyde Metabolism The same symptoms are observed in human DNA cross-link
repair deficient syndromes; DNA cross-linking is induced by drugs such as cis-platin and
electrophiles, notably including formaldehyde. The identification of links between FA and aldehydes stimulated efforts to identify
physiologically relevant sources of cellular formaldehyde in mammalian cells (Burgos-
Barragan et al).5 Given the relatively high levels of formaldehyde in blood (20-100µm), the
Patel group hypothesised that the ubiquitous folate-utilising C1 metabolic cycle, which is
crucial in nucleotide/nucleic acid and amino acid/protein biosynthesis (Figure 1), is a source
of endogenous formaldehyde. 5,10-Methylenetetrahydrofolate, which is formed by reaction of tetrahydrofolate (THF) with
formaldehyde, fragments to give formaldehyde and tetrahydrofolate (THF); it was initially
proposed that addition of THF to cells would sequester formaldehyde and so reduce its
concentration. However, it was observed that addition of THF was cytotoxic, especially to cells
deficient in ADH5 and in FA models. Sensitivity to added THF was tested in cells deficient in both ADH5 and C1 metabolism genes,
including serine hydroxymethyltransferases 1/2 (which enable formation of 5,10-
methylenetetrahydrofolate), mitochondrial folate transporter (which regulates mitochondrial
THF levels), and folylpolyglutamate synthase (which is crucially involved in folate
homeostasis). Diminished C1 metabolism is toxic; however, supplementation with glycine,
hypoxanthine, or thymidine enables cell growth. All the tested cells types were similarly THF
sensitive, suggesting that THF toxicity is independent of ‘direct’ C1 metabolism. It was also
noted that deletion of ADH5 exacerbated the growth defect in the C1 metabolism-deficient
cells without supplementation. Studies on the oxidative decomposition of THF (and derivatives) reveal it reacts to release
formaldehyde, the production of which is promoted or inhibited by hydrogen peroxide or
ascorbate, respectively. Assessment of the toxicity of THF derivatives, folate, dihydrofolate,
5-methyltetrahydrofolate and 5-formyltetrahydrofolate, using C1 metabolism/ADH5-deficient cell lines implies that only the derivatives susceptible to oxidative formaldehyde release are
cytotoxic. Whilst the folate derivative associated toxicity appears to be principally due to formaldehyde
release, it was observed that addition of either formaldehyde or THF rescued growth in C1
metabolism-deficient cells (when not appropriately supplemented). The THF rescue effect was
dependent on the presence of active ADH5, implying a role for the glutathione-dependent
metabolism. Mass spectrometric analysis of cells treated with 13C-formaldehyde revealed that
a significant proportion of cellular formate is derived from ADH5-dependent oxidation of
formaldehyde (blood formate levels are decreased in ADH5-deficient mice). Interestingly,
incorporation of 13C into deoxyadenosine, adenosine triphosphate, and thymidine was
observed. Deciphering Functions of Intracellular Formaldehyde
- Linking Cancer and Aldehyde Metabolism Incorporation of the 13C label into the nucleotides was most prevalent in C1
metabolism-deficient cells and inhibited by loss of ADH5; though some incorporation was
observed in ADH5-deficient cells. These observations define ADH5-dependent links between
formaldehyde metabolism and the C1 metabolic cycle – as well as being toxic, formaldehyde
can act as a C1 precursor, including to mediate nucleotide synthesis (via formate). Upregulating formaldehyde levels (e.g. by drug or diet therapy) in combination with ADH5
inhibition may be a way to selectively target cancer cells with defective DNA repair pathways,
such as in BRCA mutant cancers. The Patel group’s work has thus identified physiologically relevant links between
formaldehyde metabolism and DNA damage repair / genotoxicity. Formaldehyde can act as
both a genotoxin and as a benign metabolically relevant C1 metabolite. The balance between
these roles is presumably altered by context-dependent factors, including concentration,
localisation, pH, and, as hinted at in the work, redox state. The findings provide a mechanistic
rationale for formaldehyde genotoxicity, and reveal the potential of altered levels of
formaldehyde, and other aldehydes including acetaldehyde, to regulate multiple cell functions
in health and disease. Folate is widely used as dietary supplement because its deficiency
causes birth and neural defects. This, coupled with the widespread societal use of the alcohol
precursors of aldehydes, and of formaldehyde/formaldehyde derivatives, means the results
may have implications far beyond academic work on genetic diseases. Funding We thank the Biotechnology and Biological Sciences Research Council (BB/E527620/1),
Cancer Research UK (C8717/A18245), and the Wellcome Trust (091857/7/10/7) for funding
our work with formaldehyde. RJH acknowledges a William R. Miller Junior Research
Fellowship, St. Edmund Hall, Oxford, UK. References References [1]
Mannich, C., and Krösche, W. (1912) Ueber ein Kondensationsprodukt aus
Formaldehyd, Ammoniak und Antipyrin, Archiv der Pharmazie 250, 647-667. [2]
Cannizzaro, S. (1853) Ueber den der Benzoësäure entsprechenden Alkohol, Justus
Liebigs Annalen der Chemie 88, 129-130. [3]
Rosado, I. V., Langevin, F., Crossan, G. P., Takata, M., and Patel, K. J. (2011)
Formaldehyde catabolism is essential in cells deficient for the Fanconi anemia DNA-
repair pathway, Nat Struct Mol Biol 18, 1432-1434. [4]
Pontel, Lucas B., Rosado, Ivan V., Burgos-Barragan, G., Garaycoechea, Juan I., Yu,
R., Arends, Mark J., Chandrasekaran, G., Broecker, V., Wei, W., Liu, L., Swenberg,
James A., Crossan, Gerry P., and Patel, Ketan J. (2015) Endogenous Formaldehyde
Is a Hematopoietic Stem Cell Genotoxin and Metabolic Carcinogen, Molecular Cell 60,
177-188. [5] [5]
Burgos-Barragan, G., Wit, N., Meiser, J., Dingler, F. A., Pietzke, M., Mulderrig, L.,
Pontel, L. B., Rosado, I. V., Brewer, T. F., Cordell, R. L., Monks, P. S., Chang, C. J.,
Vazquez, A., and Patel, K. J. (2017) Mammals divert endogenous genotoxic
formaldehyde into one-carbon metabolism, Nature 548, 549. TOC Graphic TOC Graphic TOC Graphic
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A susceptibilidade geoambiental da bacia hidrográfica do Ribeirão Lajeado - Tocantins
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Sociedade & natureza
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cc-by
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Resumo O estudo geoambiental através da integração dos elementos naturais com o uso e a
cobertura da terra é uma proposta metodológica para o planejamento estratégico. Nesse sentido, o objetivo deste artigo é realizar uma análise da susceptibilidade
geoambiental, a partir do uso de análise multicritério, na bacia hidrográfica do Ri-
beirão Lajeado. Para isso, realizou-se a organização de materiais cartográficos: rede
de drenagem, a declividade, a litologia, os solos, o uso e a cobertura da terra e as
vias de acesso. Foram estabelecidos pesos normalizados a partir da técnica do pro-
cesso analítico hierárquico (AHP). Esse cruzamento gerou o mapa de suscepti-
bilidade geoambiental, definida em quatro unidades, a saber: I) baixa (área de topo
plano com cobertura vegetal e nenhuma proximidade com as vias acessos); II) mé-
dia (locais com algumas ocupações humanas ou com relevo suave ondulado); III)
alta (áreas onde apresentam ampla ocorrência de estradas e rede de drenagem
abundante, susceptíveis à intervenção antrópica, relacionadas principalmente as
atividades agropecuária e áreas urbanas) e IV) muito alta (locais com estradas e
porções de uso agropecuário com declividades maiores que 15%, presença de cica-
trizes de fogo e áreas urbanas. Assim, a técnica AHP apresenta-se como uma im-
portante ferramenta para o geoambiental, principalmente na definição de pesos
para os fatores analisados. Keywords
Land Use and Cover
Relief
Integrated Analysis
AHP Method DOI: 10.14393/SN-v35-2023-67033
Recebido: 21 Setembro, 2022 |Aceito: 10 Janeiro, 2023 | Publicado: 09 Fevereiro, 2023 Artigos The geoenvironmental susceptibility of the Ribeirão Lajeado watershed – Tocantins Lucas da Silva Ribeiro1
Luis Eduardo de Souza Robaina2
Sandro Sidnei Vargas de Cristo3 Palavras-chave:
Uso e Cobertura da
Terra Relevo
Análise Integrada
Método AHP 1
1 Universidade Federal de Santa Maria – UFSM, Santa Maria - RS, Brasil. lucassilvaribeiro12@gmail.com
2 Universidade Federal de Santa Maria – UFSM, Santa Maria - RS, Brasil. lesrobaina@yahoo.com.br
3 Universidade Federal do Tocantins – UFT, Porto Nacional - RS, Brasil. sidneicristo@mail.uft.edu.br
Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 Palavras-chave:
Uso e Cobertura da
Terra Relevo
Análise Integrada
Método AHP A susceptibilidade geoambiental da bacia
hidrográfica do Ribeirão Lajeado -
Tocantins The geoenvironmental susceptibility of the Ribeirão Lajeado watershed – Tocantins 1 Universidade Federal de Santa Maria – UFSM, Santa Maria - RS, Brasil. lucassilvaribeiro12@gmail.com Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 Keywords
Land Use and Cover
Relief
Integrated Analysis
AHP Method ,
,
@g
2 Universidade Federal de Santa Maria – UFSM, Santa Maria - RS, Brasil. lesrobaina@yahoo.com.br
3 Universidade Federal do Tocantins – UFT, Porto Nacional - RS, Brasil. sidneicristo@mail.uft.edu.br INTRODUÇÃO e planejamento de uma área. Para Abreu et al. (2020),
o
geoambiental
é
uma
proposta
metodológica fundamental para o planejamento
estratégico do território, em seus diferentes usos
e níveis de exploração. A partir da integração das atividades humanas
com
os
elementos
naturais
é
possível
desenvolver
um
zoneamento
de
susceptibilidades ambientais que possibilita
planejar
estratégias
que
auxiliam
na
conservação da natureza, no planejamento e na
gestão estratégica para ocupação e uso humano. Esse
estudo
realiza
uma
análise
geoambiental na bacia hidrográfica do Ribeirão
Lajeado, através do zoneamento, aplicando o
Processo Analítico Hierárquico (AHP) com a
modelagem espacial em ambiente SIG (Sistemas
de informações geográficas) (SAATY, 1991). O
processo AHP focaliza o estudo de sistemas por
meio de uma sequência de comparações, aos
pares, dos condicionantes (elementos) que têm
influência no sistema considerado. Marques e
Zuquette (2004), Marchiori-Faria e Augusto
Filho (2010), Paula e Cerri (2012), França et al. (2019) discorrem sobre o emprego do AHP na
seleção e priorização de áreas com variados
objetivos. Análise integrada dos dados obtidos e
conhecimento do potencial dos recursos naturais
incluem estudos de todos os componentes do
estrato geográfico, considerando o princípio de
que a natureza possui funcionalidade intrínseca
entre seus componentes (ROSS, 1994). Dessa
forma,
destaca-se
o
estudo
geoambiental, que pode ser entendido como todo
processo
envolvido
na
obtenção,
análise,
representação, comunicação e aplicação de
dados e informações do meio físico, considerando
as potencialidades e as fragilidades do terreno,
bem como os perigos, os riscos, os impactos e os
conflitos decorrentes da interação entre as ações
humanas e o meio fisiográfico (VEDOVELLO,
2004). Segundo Medeiros e Cestaro (2020) o
geoambiental identifica unidades de forma
integrada, considerando a compartimentação de
um sistema a partir da interação dinâmica de
elementos físicos e antrópicos. A bacia hidrográfica do Ribeirão Lajeado
(Figura 1) abrange uma área com cerca de
616,29 km², e está localizada na porção central
do estado do Tocantins, nos municípios de
Aparecida do Rio Negro, Lajeado, Tocantínia e
Palmas. Destaca-se, a presença de duas
Unidades de Conservação da Natureza (UCs),
uma de Proteção Integral, o Parque Estadual do
Lajeado (PEL) e a outra de Uso Sustentável,
APA Serra do Lajeado, demonstrando sua
importância por ser o principal sistema
hidrográfico das UCs. Carvalho et al. (2021) apontam que o
geoambiental tem ganhado importância nos
estudos científicos, pois auxilia na compreensão
das condições ambientais relacionadas às ações
humanas. Abstract The geoenvironmental study through the integration of natural elements with the
use and land cover is a methodological proposal for strategic planning. In this
sense, the objective of this article is to perform an analysis of geoenvironmental
susceptibility from the use of multicriteria in the watershed of Ribeirão Lajeado. For this, the organization of cartographic materials was carried out, such as the
drainage network, slope, lithology, soils, land use and cover and access routes,
where normalized weights were established from the technique of the Hierarchical
Analytical Process (AHP). This crossing generated the geoenvironmental
susceptibility map, defined in four units, namely: I) low (flat top area with
vegetation cover and no proximity to the access roads); II) medium (places with
some human occupations or with wavy smooth relief); III) high (areas with wide
occurrence of roads and abundant drainage network, susceptible to anthropic
intervention, mainly related to agricultural activities and urban areas) and IV)
very high (places with roads and portions of agricultural use with slopes greater
than 15%, presence of fire scars and urban areas. Thus, the AHP technique
presents itself as an important tool for geoenvironmental, especially in defining
weights for the factors analyzed. 1
1 Universidade Federal de Santa Maria – UFSM, Santa Maria - RS, Brasil. lucassilvaribeiro12@gmail.com
2 Universidade Federal de Santa Maria – UFSM, Santa Maria - RS, Brasil. lesrobaina@yahoo.com.br
3 Universidade Federal do Tocantins – UFT, Porto Nacional - RS, Brasil. sidneicristo@mail.uft.edu.br
Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 1 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 INTRODUÇÃO Destacando o estudo integrado como
principal
característica
do
geoambiental,
Robaina e Trentin (2021) relatam que a análise
dos elementos do substrato rochoso, relevo e
solos, no que envolve o uso e a cobertura da
terra, é fundamental para a compreensão da
dinâmica geomorfológica e no auxílio ao manejo As
UCs
são
espaços
territoriais
que
apresentam
recursos
naturais
com
características relevantes. Tais áreas são
utilizadas como estratégia para a proteção da
natureza. É neste contexto que o uso de
geotecnologias,
como
os
Sistemas
de
Informações Geográficas e o Sensoriamento
Remoto, otimiza a diagnose e o monitoramento
ambiental (DIAS; MARTINS; BARROS, 2020). 2 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental Figura 1 - Localização da área de estudo. Fonte: Os autores (2020). Figura 1 - Localização da área de estudo. Fonte: Os autores (2020). Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 MATERIAIS E MÉTODOS As informações litológicas foram obtidas no
site do Serviço Geológico do Brasil (CPRM) na
escala de 1: 250.000 em formato shapefile que
correspondem às cartas geológicas de Porto
Nacional (SC.22-Z-B) e Miracema do norte (SC-
22-X
-D). Na
bacia
hidrográfica,
foram
identificados a Cobertura Detrito Laterítica, a
Formação Pimenteiras, a Formação Jaicós e a
Granitóides. Para o estudo da susceptibilidade geoambiental,
realizou-se a integração de informações sobre a
rede de drenagem, declividades, litologias, solos
e uso e cobertura da terra. Esses dados foram
organizados no software Qgis na versão 3.14.16,
onde
foi
possível
aplicar
o
cruzamento
automático dessas informações a partir de pesos
normalizados para cada mapa, definido pelo
método do AHP. Os dados sobre os solos foram obtidos através
do trabalho Sousa et al. (2012), representando a
SEPLAN
do
Tocantins. Ao
analisar
as
informações de solos e comparando com a
declividade na bacia hidrográfica, notou-se a
necessidade de realizar alguns ajustes conforme
a relação solo-declividade. Segundo Nowatzki e
Santos (2014), os diferentes tipos de solos podem
ser compartimentados de acordo com as
características do relevo. Nesse sentido, os
dados de solos foram ajustados com base na
declividade e com apoio de trabalhos de campo,
definindo-se as seguintes classes: Latossolo,
Plintossolo, Associação Neossolo-Cambissolo e
Associação Argissolo-Cambissolo. A imagem de radar da missão Shuttle Radar
Topographic Mission (SRTM), com resolução
espacial de 30 metros, foi obtida na plataforma
topodata, junto ao Instituto Nacional de
Pesquisas Espaciais (INPE). Esse dado foi
utilizado como base para a elaboração do Modelo
Digital de Elevação (MDE) que possibilitou
gerar informações sobre a rede de drenagem e a
delimitação da bacia e relevo (declividade). As
declividades
das
vertentes
foram
definidas com base no trabalho de Ponçano et al. (1981), que estabeleceram as classes <5%, 5 –
15% e >15%. Os autores Santos et al. (2020)
também utilizaram esses mesmos intervalos na
compartimentação geomorfométrica da bacia
hidrográfica do Rio Jaguari – Oeste do RS. Por meio do site da United States Geological
Survey (USGS), realizou-se o download da
imagem do Landsat 8, do mês de julho de 2021,
com resolução espacial de 30 metros. Na
sequência, utilizou-se as bandas 6, 5 e 4 na 3 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental partir desses procedimentos, mapeou-se a
espacialização das estradas não pavimentadas. Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 MATERIAIS E MÉTODOS respectiva ordem para gerar a composição RGB,
e assim, gerar a classificação supervisionada, a
qual oferece informações do uso e cobertura da
terra sobre a bacia hidrográfica do Ribeirão
Lajeado
nas
seguintes
classes:
Formação
Florestal,
Formação
Savânica-Campestre,
Agropecuária, Cicatrizes de Fogo, Corpos
d’Água e Áreas Urbanas. As informações lineares como estradas e rede
de drenagem foram transformadas em raster
com pixel de 30 metros, utilizando-se um
algoritmo que calcula a distância euclidiana, ou
seja, em linha reta no plano horizontal. A distância euclidiana (Figura 2) determina
os graus de influência, ou seja, quando a
distância de um determinado ponto (L) for
próximo da linha do vetor de interesse, maior
será a sua influência e, quando o ponto de
interesse estiver distante, menor será a
influência. Para ter acesso às informações de estradas
na bacia hidrográfica do Ribeirão Lajeado, foi
necessário realizar uma vetorização sobre as
imagens de satélites do Google Earth, disponível
no plugin Quickmapservices no software Qgis. A Figura 2 - Exemplo da distância euclidiana
Fonte: Sousa et al. (2015). Figura 2 - Exemplo da distância euclidiana
Fonte: Sousa et al. (2015). Figura 2 - Exemplo da distância euclidiana. (autovetor) que indicam, ao tomador de decisão,
quais elementos devem ter maior importância
(hierarquia), para o cruzamento automático. (autovetor) que indicam, ao tomador de decisão,
quais elementos devem ter maior importância
(hierarquia), para o cruzamento automático. Para atribuir a priorização pela técnica AHP
é necessário calcular a matriz ponderada, ou
seja, cada elemento da coluna é dividido pela
soma dos valores da própria coluna. Os valores
obtidos a partir desse procedimento fazem com
que a soma de cada coluna seja igual a um (1). Em seguida, utiliza-se a função matriz.multi da
planilha eletrônica para obtenção do produto,
que vai ser dividido pelo autovetor e gerar o
lambda. Desse
modo,
é
gerada
a
Razão
de
Consistência (RC), obtida pela divisão do IC pelo
Índice de randômico (IR) do AHP, definido em
função do número (n) de elementos comparados,
segundo Saaty (1994) (Quadro 2). Quadro 2 - Valores recalculados de IR. Fonte: adaptado de Saaty (1994). N
3
4
5
6
7
8
9
10
11
12
13
14
15
IR
0.52
0.89
1.11
1.25
1.35
1.4
1.45
1.49
1.51
1.54
1.56
1.57
1.58 Quadro 2 - Valores recalculados de IR. Fonte: adaptado de Saaty (1994). N
3
4
5
6
7
8
9
10
11
12
13
14
15
IR
0.52
0.89
1.11
1.25
1.35
1.4
1.45
1.49
1.51
1.54
1.56
1.57
1.58 Quadro 2 - Valores recalculados de IR. Fonte: adaptado de Saaty (1994). N
3
4
5
6
7
8
9
10
11
12
13
14
15
IR
0.52
0.89
1.11
1.25
1.35
1.4
1.45
1.49
1.51
1.54
1.56
1.57
1.58 De modo geral, a figura 3 exemplifica a rotina
do
método
AHP
para
definir
os
pesos
normalizados para o uso e cobertura da terra, a
declividade, os solos e as litologias na bacia
hidrográfica do Ribeirão Lajeado. Os julgamentos dos diferentes tipos de solos
basearam-se nas informações que estão no
trabalho de Silva e Oliveira (2015), observando
o grau de erodibilidade. Deste modo, considerou-
se o Latossolo com peso 0,04; o Plintossolo peso
0,13; Associação Argissolo-Cambissolo peso 0,32
e Neossolo-Cambissolo com peso 0,51. As classes de declividade foram julgadas com
base em diferentes autores que discutem a
formação de voçorocas (ALMEIDA FILHO,
2004; OLIVEIRA, 1994; 2007; MARCHIORO et
al., 2016). Portanto a classe menor que 5%
tiveram o peso 0,07; a classe de 5 a 15% o peso
0,20 e a classe maior que 15% peso 0,73. Figura 2 - Exemplo da distância euclidiana. Figura 2 - Exemplo da distância euclidiana. Fonte: Sousa et al. (2015). A partir da organização de todos os dados
cartográficos, aplicou-se o método do AHP que
representa o julgamento ou a comparação
pareada entre dois elementos que estão no
mesmo par (que formam o par) (SAATY, 1991). A escala numérica de comparação varia de 1 a 9,
significando a importância de um critério sobre
outro (Quadro 1). Esses julgamentos são
representados em uma matriz quadrada, com n (n - 1) /2, organizado em uma matriz n x n, sendo
n o número de linhas e colunas, onde os
analistas participantes julgam se o elemento (A)
domina o elemento (B). Em estudos ambientais,
observa-se o trabalho de França et al. (2019),
que aplicaram esse método para analisar a
fragilidade
ambiental
do
município
de
Capelinha em Minas Gerais. Quadro 1 - Escala de comparação de critérios. Intensidade de importância
em escala absoluta
Definição
Explicação
1
Igual importância
Os dois critérios contribuem de forma idêntica
para o objetivo
3
Importância moderada de um
sobre o outro
A análise e a experiência mostram que um critério
é um pouco mais importante que o outro
5
Importância essencial ou forte
A análise e a experiencia mostram que um critério
é claramente mais importante que o outro
7
Importância muito forte
A análise e a experiencia mostram que um dos
critérios é predominante para o objetivo
9
Extremamente mais
importante
Sem qualquer dúvida um dos critérios é
absolutamente predominante para o objetivo
2, 4, 6, 8
Valores intermediários entre
os dois adjacentes julgamentos
Quando o compromisso é necessário
Fonte: adaptado de Saaty (1991). O método do AHP se inicia com a elaboração
de uma matriz ponderada, a partir da qual se
obtém o cálculo dos pesos normalizados (vetor de prioridades) para cada critério, calculando-se a
média dos valores de cada linha da matriz
ponderada. São esses pesos normalizados Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental Na coluna do lambda realiza-se a média. geométrica, que é subtraída pela quantidade de
elementos analisados. Por fim, dividindo a
mesma quantidade de elementos subtraindo por
1, será gerado o Índice de Consistência (IC). O
IC mede a coerência dos julgamentos – quanto
mais próximo o índice estiver de zero, maior será
a consistência global da matriz de comparação. Figura 2 - Exemplo da distância euclidiana. As diferentes susceptibilidades das litologias
estão
relacionadas
aos
processos
de
desagregação
e
erosão. Assim,
foram
consideradas as rochas Cristalinas com peso
0,05;
Formação
Pimenteiras
peso
0,14;
Cobertura Detrito Laterítica com peso 0,30 e a
Formação Jaicós peso 0,51. Figura 3 – Procedimentos da técnica do AHP. Figura 3 – Procedimentos da técnica do AHP. Fonte: Os autores (2022). Fonte: Os autores (2022). 5 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 R é o raster que está sendo ser ponderado. R é o raster que está sendo ser ponderado. Quadro 3 – Valores dos julgamentos e pesos dos fatores. Uso da terra
estradas
declividade
rede de
drenagem
solos
litologia
pesos
uso cobertura
da terra
1
3
3
5
7
9
0,36
estradas
0,33
1
3
3
5
9
0,26
declividade
0,33
0,33
1
3
3
7
0,18
rede de
drenagem
0,20
0,33
0,33
1
3
5
0,12
solos
0,14
0,20
0,33
0,33
1
3
0,06
litologia
0,11
0,11
0,14
0,20
0,33
1
0,02
razão de consistência: 0,06
Fonte: Os autores (2022). Fonte: Os autores (2022). estão representados pelos Córregos Mutum e
Algodão, Ribeirões do Lajeado e Agem como de
5° ordem e, ainda, os Córregos Cedro, Cachorro,
Serrinha, Brejo da Passagem e Ribeirão Agem
como de 4° ordem. estão representados pelos Córregos Mutum e
Algodão, Ribeirões do Lajeado e Agem como de
5° ordem e, ainda, os Córregos Cedro, Cachorro,
Serrinha, Brejo da Passagem e Ribeirão Agem
como de 4° ordem. A
última
etapa
para
análise
da
susceptibilidade
geoambiental
da
bacia
hidrográfica consistiu na realização de três
trabalhos de campo em dezembro de 2021 para
a validação das informações levantadas e
cruzadas de forma automática em SIG. RESULTADOS E DISCUSSÃO O mapeamento da declividade das encostas
(Figura 4B) apresentam que locais com <5%
ocupam cerca de 33,23%, com predomínio na
planície de inundação do Ribeirão Lajeado e nos
topos que marcam as nascentes das drenagens
principais da bacia. Declividades entre 5 - 15%
abrangem
cerca
de
37,51%,
distribuídas
principalmente no médio e baixo curso. As áreas
com declividades >15%, abrangem 29,26%,
espacializando na borda dos relevos tabulares
onde se encontram as encostas escarpadas. Localizam-se principalmente no médio e baixo
curso
do
Ribeirão
Lajeado
com
maior
concentração nas porções leste e sudeste da área
de pesquisa Analisando as características das variáveis
(Figura 4), pode-se observar informações sobre os
aspectos naturais e das atividades humanas na
bacia hidrográfica. RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental No
uso
e
na
cobertura
da
terra,
consideraram-se as classes com os seguintes
pesos: Formação Florestal peso 0,03; Formação
Savânica-Campestre peso 0,08; Agropecuária
peso 0,21; Cicatrizes de Fogo com peso 0,28 e
Áreas Urbanas peso 0,40. Os
fatores
utilizados
para
a
análise
geoambiental são: uso e cobertura da terra,
estradas, declividade, rede de drenagem, solos e
litologias. Por meio desses fatores, os pesos
normalizados (Quadro 3) foram obtidos. Assim,
os produtos ponderados são multiplicados pelos
seus respectivos pesos, alcançados a partir do
método AHP, conforme apresentado na Equação
2. Para
esse
cruzamento,
utilizou-se
a
calculadora raster do software Qgis. Após a obtenção dos pesos de cada classe,
realizou-se
a
agregação
dos
fatores
condicionantes
através
do
método
da
Combinação Linear Ponderada (WLC). Para
tanto, os arquivos raster de uso e cobertura da
Terra, estradas, declividade, rede de drenagem,
solos e litologias foram padronizados dentro do
intervalo de 0 a 1, utilizando-se a equação 1 na
calculadora raster. S = (Fus * 0,36 + Fe * 0,26 + Fd * 0,18 + Frd
* 0,12 + Fs * 0,06 + Fl * 0,02) (Equação 2) Onde: S é a susceptibilidade, Fus é o uso e
cobertura da terra, Fe é a estrada, Fd é a
declividade, Frd é a rede de drenagem, Fs é
o solo, Fl é a litologia. (R – menor valor de R) / (maior valor de R –
menor valor de R) (Equação 1) Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 Rede de Drenagem A bacia hidrográfica do Ribeirão Lajeado
apresenta hierarquia fluvial de 6° ordem,
apresentando o canal principal com extensão de
27km. A susceptibilidade é indicada pela
distância euclidiana da rede de drenagem
(Figura 4A). Os principais canais de drenagem 6 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental base em Ribeiro e Alves (2017) tem a cobertura
Detrito
Laterítica,
rochas
da
Formação
Pimenteiras, rochas da Formação Jaicós e
rochas Granitoides (Figura 4C). Uso e Cobertura Vegetal O uso e a cobertura da terra na bacia
hidrográfica do Ribeirão Lajeado podem ser
observados nas seguintes classes: Formação
Florestal,
Formação
Savânica-Campestre,
Agropecuária, Cicatrizes de Fogo,
Corpos
d’Água e Áreas Urbanas (Figura 4E). Arenitos conglomeráticos e conglomerado da
Formação Jaicós são dominantes e constituem
grande parte das escarpas verticalizadas da
Serra do Lajeado. Na área de estudo representa
13,19%, estando espacializada em uma faixa
estreita no alto curso e, a partir do médio curso,
alarga-se representando maior concentração em
termos de área. A Formação Florestal, correspondendo a
21,48%, é dividida em matas ciliares, matas de
galerias, mata seca e cerradão (RIBEIRO;
WALTER, 2008). As rochas cristalinas na bacia hidrográfica do
Ribeirão Lajeado são representadas pelos
granitos e gabronoritos. O granito é um extenso
corpo que aflora por mais de 60 km e desaparece
sob as camadas sub-horizontalizadas das rochas
sedimentares da Bacia do Parnaíba (CHAVES,
2003). As
rochas
cristalinas
na
bacia
hidrográfica correspondem a 19,65%, ocorrendo
a partir do alto e médio curso junto ao Ribeirão
Lajeado, alargando-se no baixo curso. A Formação Savânica é dividida em Cerrado
stricto sensu, parque cerrado, palmeiral e
vereda. Já Formação Campestre é dividida em
campo sujo, campo rupestre, campo limpo
(RIBEIRO; WALTER, 2008). Esse tipo de
cobertura vegetal (Savânica-Campestre) ocupa
cerca de 57,17 % da área de estudo. O uso Agropecuário representa as atividades
agrícolas (plantio de soja, milho e sorgo) e
pecuária (criação de gado e cavalo) em cerca de
19,94%. As cicatrizes de fogo, na bacia
hidrográfica do Ribeirão Lajeado, são locais que
sofreram ação do fogo (por queimadas ou
incêndios
florestais)
em
um
determinado
período do ano. Assim, foi identificada uma
abrangência de 1,13% da área. Á RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental As coberturas Detrito Lateríticas tratam-se
da
lateritização,
predominantemente,
ferruginosa que quando exposta ou exumadas
são litificadas, formando ironstones. No topo da
serra do Lajeado, elas se encontram expostas em
vasta área plana em cotas ao redor de 600 m
(RIBEIRO;
ALVES,
2017). Na
bacia
hidrográfica do Ribeirão Lajeado, essa cobertura
ocupa uma área com cerca de 3,01%, estando
espacializada na porção leste, do médio e baixo
curso. permeabilidade que restringe a circulação. Além
disso, o clima com sazonalidade gera variações
do lençol freático e a formação de plintitas no
horizonte subsuperficial. Os solos mal desenvolvidos são os Neossolos
e Cambissolos que se caracterizam pela baixa
intensidade
de
atuação
dos
processos
pedogenéticos. Na
bacia
hidrográfica
corresponde a 22,30%, localizado no alto curso,
acompanhando o canal do Ribeirão Lajeado, no
médio e baixo curso abrange outros afluentes e
apresentam a maior concentração em termo de
área. Os folhelhos vermelhos e cinza escuros, com
intercalações de arenitos e siltitos brancos a
cinza claro da Formação Pimenteira, ocorrem
especialmente em direção ao topo da sequência. Representam uma deposição em plataforma
rasa dominada por tempestitos (VAZ et al.,
2007). A Formação Pimenteira corresponde a
64,15%, sendo a principal litologia em termo de
abrangência de área. Localiza-se principalmente
no alto curso, enquanto no médio e baixo curso
apresenta-se em menores áreas. A Associação Argissolo-Cambissolo, na área
de estudo, ocupa cerca de 14,66%. Em suma,
ocorre no médio e baixo curso, acompanhando o
canal do Ribeirão Lajeado e outros afluentes no
médio e baixo curso. Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 Litologias A bacia hidrográfica do Ribeirão Lajeado está
inserida na bacia sedimentar do Parnaíba. Com (
g
)
Figura 4 - Fatores analisados para a susceptibilidade geoambiental. Fonte: Os autores (2022). Figura 4 - Fatores analisados para a susceptibilidade geoambiental. Fonte: Os autores (2022). 7 7 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO Solos Os solos na bacia hidrográfica do Ribeirão
Lajeado
podem
ser
classificados
como,
Latossolos, Plintossolos, Associação Neossolo-
Cambissolo e Associação Argissolo-Cambissolo,
apresentado na figura 4D. Os Corpos d’Água, por sua vez, são áreas que
representam
os
barramentos
e
tanques
escavados
relacionados
às
atividades
de
piscicultura, que também contribuem para a
supressão da cobertura vegetal natural local
(FURTADO; CRISTO, 2018). Os
Latossolos
na
bacia
hidrográfica,
representa cerca de 18,67%, espacializando-se
no alto curso, porções leste e oeste. No médio e
baixo curso, ocupam as áreas da porção oeste dos
afluentes do Ribeirão Lajeado e uma parte nos
divisores na porção norte. Na área de estudo, encontra-se a cidade de
Lajeado, próxima à foz da bacia hidrográfica,
que corresponde a 0,22%. Local que passou por
várias
transformações
econômicas,
principalmente com a construção da usina Os Plintossolos na área de estudo, abrange
cerca de 44,37%, espacializando principalmente
no alto e médio; no baixo curso (porção leste) é
associado a um relevo suave ondulado sobre um
substrato
de
folhelhos
com
baixa 8 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental Susceptibilidade geoambiental da bacia hi-
drográfica do Ribeirão Lajeado Susceptibilidade geoambiental da bacia hi-
drográfica do Ribeirão Lajeado hidrelétrica de Luís
Eduardo Magalhães,
inaugurada no ano de 2002 (SEPLAN, 2017). A susceptibilidade geoambiental da bacia
hidrográfica do Ribeirão Lajeado (Figura 5 e
Tabela 1) foi definida a partir dos cruzamentos
dos fatores de uso e da cobertura da terra (peso
0,36), estradas (peso 0,26), declividade (peso
0,18), rede de drenagem (peso 0,12), solos (peso
0,06) e litologias (peso 0,02), multiplicados pelos
seus respectivos Observa -se que o uso e as vias
de acessos tiveram mais pesos em relação aos
outros elementos, pois as ocupações humanas
nem sempre são precedidas de estudos que
considerem as restrições dos recursos naturais,
especialmente relacionadas à fragilidade das
litologias e dos solos, quando submetidos a
determinados usos (ROBAINA; TRENTIN,
2019). Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 Estradas As
estradas
não
pavimentadas
estão
distribuídas principalmente no baixo e no médio
curso, onde apresentam uma extensão de 732,39
km (Figura 4F). A menor concentração de
estradas na porção oeste do alto curso ocorre
devido ao fato de ser uma área destinada ao
PEL. A maior concentração de estradas na
porção leste do alto curso pode ser justificada
pela presença de chácaras e pelo acesso as áreas
de plantios de atividades agrícolas. O resultado desses cruzamentos apresentou
a susceptibilidade geoambiental em quatro
unidades: I baixa, II média, III alta e IV muito
alta. Tabela 1 - Dados de susceptibilidade geoambiental da bacia hidrográfica. Susceptibilidade Geoambiental
Área (km²)
Área (%)
Baixa
4,86
0,80
Média
157,78
25,60
Alta
431,81
70,06
Muito alta
21,84
3,54
Total
616,29
100
Fonte: Os autores (2022). Tabela 1 - Dados de susceptibilidade geoambiental da bacia hidrográfica. 9 II Média susceptibilidade Nessas áreas, os tipos de solos são Latossolo
e Plintossolo, e a litologia predominante é da
Formação Pimenteiras. A unidade de média susceptibilidade (Figura 7)
tem uma área de 157,78 km² que corresponde a
25,60%. A unidade de baixa susceptibilidade ocorre
no alto curso (em alguns locais dentro do PEL). No médio curso, próximos aos divisores de
águas. No baixo curso, surgem alguns locais na
porção leste da bacia hidrográfica. Figura 7 – Média susceptibilidade
Fonte: Os autores (2021). Figura 7 – Média susceptibilidade Fonte: Os autores (2021). De maneira geral, são locais onde tem a
presença de cobertura vegetal, principalmente
do tipo Formação Savânica-Campestre, onde as
características de solos, litologias e declividades
são importantes para este tipo de unidade e sem
nenhuma proximidade com estradas. No alto curso, as maiores concentrações
dessa unidade estão na porção leste, área que
pertence ao PEL. No médio curso, ocupam
principalmente os divisores de água de alguns
afluentes do Lajeado. No baixo curso, as maiores
ocupações estão na sub-bacia do Córrego Mutum
e nos divisores desse córrego com os afluentes do
Ribeirão Lajeado. As características mais marcantes dessa
unidade são as áreas de declividade menor que
15%, especificamente nas áreas de topos dos
morros, onde ocorrem predominantemente os
solos do tipo Plintossolo, a presença de cobertura
vegetal natural e a distância das estradas. A
baixa concentração de vias de acesso é uma
característica importante dessa unidade que
permite a conservação das condições naturais. Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental Figura 5 – Susceptibilidade geoambiental da bacia hidrográfica Figura 5 – Susceptibilidade geoambiental da bacia hidrográfica
Fonte: Os autores (2022). Baixa susceptibilidade
Baixa susceptibilidade (Figura 6) ocupa cerca
4,86 km², ou seja, cerca de 0,80%. Nessa
nidade
as principais características são o
predomínio
de
vertentes
com
baix
declividades, menor ou igual a 5%, com
presença de cobertura vegetal natural e s
nenhuma proximidade com as estradas. Fonte: Os autores (2022). predomínio
de
vertentes
com
baixas
declividades, menor ou igual a 5%, com a
presença de cobertura vegetal natural e sem
nenhuma proximidade com as estradas. predomínio
de
vertentes
com
baixas
declividades, menor ou igual a 5%, com a
presença de cobertura vegetal natural e sem
nenhuma proximidade com as estradas. I Baixa susceptibilidade A Baixa susceptibilidade (Figura 6) ocupa cerca
de 4,86 km², ou seja, cerca de 0,80%. Nessa
unidade, as principais características são o 10 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental Figura 6 - Baixa susceptibilidade
Fonte: Os autores (2021). Figura 6 - Baixa susceptibilidade Fonte: Os autores (2021). Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 III Alta susceptibilidade A unidade de alta susceptibilidade (Figura 7)
tem uma área de 431,81 km², isto é, 70,06%. Ocupa
a
maior
classe
dentro
da
bacia
hidrográfica do Ribeirão Lajeado, ocorrendo em 11 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 A susceptibilidade geoambiental RIBEIRO; ROBAINA; CRISTO susceptível
a
intervenção antrópica pelos
acessos (Figura 8). áreas onde o acesso é facilitado pela ampla
ocorrência de estradas. A rede de drenagem é gura 8 – Alta susceptibilidade ocasionado pela confluência de estradas e rede de drenagem. Fonte: Os autores (2021). Fonte: Os autores (2021). As concentrações dessa unidade no alto
curso estão principalmente na porção leste, onde
ocorre significativa ocorrência de estradas,
devido ao acesso para chácaras (Figura 9). As concentrações dessa unidade no alto
curso estão principalmente na porção leste, onde ocorre significativa ocorrência de estradas,
devido ao acesso para chácaras (Figura 9). Figura 9 – Alta susceptibilidade estradas e atividades agrícolas. Fonte: Os autores (2021). Fonte: Os autores (2021). IV Muito Alta susceptibilidade principais características são determinadas,
pelo tipo de ocupação da terra e as vias acessos
em locais de declividade com maior que 15%
(Figura 10). principais características são determinadas,
pelo tipo de ocupação da terra e as vias acessos
em locais de declividade com maior que 15%
(Figura 10). A Muito alta susceptibilidade tem uma área de
21,84 km² que corresponde a 3,54%, as 12 12 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental Figura 10 – Alta susceptibilidade em estradas e declividades maior que 15%. lta susceptibilidade em estradas e declividades ma
Fonte: Os autores (2021). Fonte: Os autores (2021). Alguns locais (Figura 11) que já está
desencadeando
um
significativo
processo
erosivo, em que a jusante está ocasionando
entulhamento do canal de rede de drenagem. Outros aspectos associados a esta unidade são
as áreas com a presença de cicatrizes de fogo e
área urbana. De maneira geral as susceptibilidades
ambientais de um determinado ambiente podem
acontecer em decorrência de causas naturais ou
antrópicas. Assim, alguns locais já têm áreas
Susceptíveis devido às causas naturais (tipos de
solos, declividade, etc.). Com a participação da
atividade humana, tornam-se ainda mais
frágeis e desencadeiam os processos erosivos. Alta susceptibilidade em estradas com significativos avanços dos processos erosivos. Fonte: Os autores (2021). Fonte: Os autores (2021). Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 CONSIDERAÇÕES FINAIS ABREU, W. L. et al. Zoneamento Geoambiental
a partir das Unidades de Conservação:
subsídios para a Gestão Integrada da Zona
Costeira
Paraense
-
Brasil. Revista
Brasileira de Geografia Física, v. 13, n. 06,
p. 3042-3059,
dez. 2020. As observações realizadas na bacia hidrográfica
do Ribeirão Lajeado mostraram a importância
dos
estudos
integrados
com
cruzamentos
automatizados
para
identificação
da
susceptibilidade geoambiental. Destaca-se que
as características do uso e cobertura da terra,
comparadas de maneira integrada com os
elementos naturais, possibilitaram mapear as
unidades de Baixa, Média, Alta e Muito Alta
susceptibilidade. https://doi.org/10.26848/rbgf.v13.6.p3042-3059 ALMEIDA FILHO, G. S.; SANTORO, J.;
GOMES, L. A. Estudo da dinâmica evolutiva
da boçoroca São Dimas no município de São
Pedro, SP. In: Anais do Simpósio Brasileiro de
Desastres Naturais, 1., Florianópolis, p. 73-86,
2004. Assim,
um
dos
aspectos
que
foram
importantes na definição das áreas mais
susceptíveis se deu através dessa integração,
principalmente dos acessos e dos usos sobre a
declividade. ALVES, M. R.; SILVA, J. C. Caracterização e
avaliação da susceptibilidade a erosão de uma
propriedade rural no município de Álvares
Machado-SP. Colloquium Exactarum, v. 9,
n. 3,
jul./set.,
p. 57-64,
2017. https://doi.org/10.5747/ce.2017.v09.n3.e204 Nesse sentido, as áreas com declividades
maiores que 15%, contendo atividades humanas
(Agropecuária e Estradas), foram mapeadas
como unidades de Muito Alta susceptibilidade. Outros
fatores
importantes
para
essa
classificação foram as Áreas Urbanas e as
Cicatrizes de Fogo. Em suma, podem ser
desenvolvidas ações que minimizem esses
problemas, principalmente frente às queimadas,
pois é uma área de UC que pode ter um maior
controle na questão do fogo. CARVALHO,
A. P. P.;
PEJON,
O. J.;
COLLARES,
E. G. Geoenvironmental
mapping and integrated analysis of the units
within a protected area: municipality of
Delfnópolis and the Serra da Canastra
National Park, Brazil. Environmental Earth
Sciences, online, v. 80, p. 1-18, fev. 2021. https://doi.org/10.1007/s12665-021-09469-x CHAVES, C. L. Caracterização geológica,
petrográfica, geoquímica e geocronológica do
magmatismo granítico da região de Porto
Nacional – TO. 2003. 150 f. Tese (Doutorado
em Geologia e Geoquímica) – Universidade
Federal do Para, Belém, PA, 2003. No cruzamento automatizado, a técnica do
AHP
é
considerada
uma
ferramenta
fundamental na análise geoambiental, tendo em
vista que é possível definir os graus de
importância de cada elemento, a partir de um
breve conhecimento sobre a área de estudo,
considerando os aspectos específicos de cada um. CUNHA, N. R. S. et. al. FINANCIAMENTO O presente trabalho foi realizado com apoio da
Coordenação de Aperfeiçoamento de Pessoal de
Nível Superior – Brasil (CAPES), código de
financiamento 001, e do Conselho Nacional de
Desenvolvimento Científico e Tecnológico. III Alta susceptibilidade Para Alves e Silva (2017), um dos fatores que
podem
causar
um
aumento
desta
susceptibilidade, de causa antrópica, é a
utilização das propriedades rurais para a
agricultura e a pecuária. contribuindo para a perda de qualidade
ambiental por meio, diminuição das áreas
centrais e aumento do isolamento entre os
fragmentos remanescentes. Pina et al. (2021),
relatam a retirada da cobertura vegetal, onde os
proprietários normalmente fazem a opção por
um retorno de curto espaço de tempo, retirando
a madeira e, posteriormente, implantando
pastagens exóticas para a criação de gado. Essas atividades no Cerrado Brasileiro,
segundo Cunha et al. (2008), são marcadas pelo
uso intensivo de agrotóxicos, fertilizantes e
corretivos; irrigação sem controle; pisoteio
excessivo de animais; monocultura e cultura em
grande escala; uso inadequado de fatores de
produção. Outros aspectos podem ser associados as vias
de acessos, pois são locais que influenciam no
aumento das susceptibilidades, devido serem
locais onde o fluxo superficial é aumentado,
contribuindo para a geração de processos
erosivos. Pires e Carmo Junior (2018), apontam Mascarenhas e Farias (2018) destacam a
retirada da cobertura vegetal no Cerrado, que
está
ligada
à
fragmentação
do
bioma, 13 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental que alguns danos ambientais ocasionados pelas
estradas são, muitas vezes, irreversíveis, devido
à supressão de vegetação, à exposição do solo, à
interferência nos habitats de animais nativos, às
modificações no próprio solo, aos desvios das
drenagens naturais e aos barramentos de rios. e para a gestão territorial, podendo vir a ser um
importante recurso na identificação de unidades
susceptíveis ao processo erosivo e no auxílio de
criação de políticas ambientais que visam à
conservação da natureza, seja em bacias
hidrográficas, UCs, municípios ou outra área de
interesse. Em relação às unidades de conservação da
natureza, destaca-se que na área do PEL a
principal classe foi a de média susceptibilidade,
que pode ser justificada pela presença da
cobertura vegetal natural e poucas estradas. As
demais partes da bacia hidrográfica que
pertence à APA Serra do Lajeado encontram-se
como principal classe alta susceptibilidade,
relacionadas às fragilidades naturais e com a
participação
das
atividades
humanas,
principalmente, em função das variáveis e dos
pesos adotados, pois neste tipo de unidade é
permitido o “uso de forma sustentável”. Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 CONSIDERAÇÕES FINAIS A Intensidade da
Exploração Agropecuária como Indicador da
Degradação
Ambiental
na
Região
dos
Cerrados, Brasil. RER, Piracicaba, SP, v. 46, Além disso, o AHP é concebido como um
método que pode contribuir para o planejamento 14 14 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 RIBEIRO; ROBAINA; CRISTO A susceptibilidade geoambiental n. 02,
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abr./jun. 2008. https://doi.org/10.1590/S0103-
20032008000200002 n. 02,
p. 291-323,
abr./jun. 2008. https://doi.org/10.1590/S0103-
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5230.2020v35n76p87 CONTRIBUIÇÃO DOS AUTORES SEPLAN - Secretaria de Planejamento do estado
do Tocantins. Perfil socioeconômico dos
municípios: Lajeado. 2017. Disponível em:
https://central3.to.gov.br/arquivo/348406/. Acesso em: 9 set. 2021. SEPLAN - Secretaria de Planejamento do estado
do Tocantins. Perfil socioeconômico dos
municípios: Lajeado. 2017. Disponível em:
https://central3.to.gov.br/arquivo/348406/. Acesso em: 9 set. 2021. CPRM - Serviço Geológico do Brasil. Disponível
em: Lucas da Silva Ribeiro concebeu o estudo,
organizou
os
dados
para
o
cruzamento
automático, fez o trabalho de campo, analisou as
informações e redigiu o texto. Luís Eduardo de
Souza Robaina, orientou Lucas da Silva Ribeiro
indicando
a
literatura,
participou
da
organização dos dados para o cruzamento
automático e revisou os resultados obtidos. Sandro Sidnei Vargas de Cristo coorientou
Lucas da Silva Ribeiro, indicando literatura e
participou do trabalho de campo e revisão das
informações. CPRM - Serviço Geológico do Brasil. Disponível
em: CPRM - Serviço Geológico do Brasil. Disponível
em:
https://geosgb.cprm.gov.br/geosgb/downloads. html. Acesso em: 15 jun. 2021. https://geosgb.cprm.gov.br/geosgb/downloads. html. Acesso em: 15 jun. 2021. SILVA, G. G.; OLIVEIRA, L. N. Análise da
suscetibilidades e potencial à erosão laminar
no município de São Miguel do Araguaia – GO. Anais
XVII
Simpósio
Brasileiro
de
Sensoriamento Remoto - SBSR, João
Pessoa-PB, Brasil, 2015. E
u Este é um artigo de acesso aberto distribuído nos termos da Licença de Atribuição Creative Commons, que permite o
uso irrestrito, distribuição e reprodução em qualquer meio, desde que o trabalho original seja devidamente citado. 16 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513 Soc. Nat. | Uberlândia, MG | v.35 | e67033 | 2023 | ISSN 1982-4513
|
https://openalex.org/W2972164631
|
https://trepo.tuni.fi/bitstream/10024/117424/2/Engineered_carbonic_anhydrase_2019.pdf
|
English
| null |
Engineered Carbonic Anhydrase VI-Mimic Enzyme Switched the Structure and Affinities of Inhibitors
|
Scientific reports
| 2,019
|
cc-by
| 16,764
|
OPEN Received: 17 February 2019
Accepted: 15 August 2019
Published: xx xx xxxx Justina Kazokaitė1,6, Visvaldas Kairys2, Joana Smirnovienė1, Alexey Smirnov1,
Elena Manakova3, Martti Tolvanen4, Seppo Parkkila5 & Daumantas Matulis 1 Secretory human carbonic anhydrase VI (CA VI) has emerged as a potential drug target due to
its role in pathological states, such as excess acidity-caused dental caries and injuries of gastric
epithelium. Currently, there are no available CA VI-selective inhibitors or crystallographic structures
of inhibitors bound to CA VI. The present study focuses on the site-directed CA II mutant mimicking
the active site of CA VI for inhibitor screening. The interactions between CA VI-mimic and a series of
benzenesulfonamides were evaluated by fluorescent thermal shift assay, stopped-flow CO2 hydration
assay, isothermal titration calorimetry, and X-ray crystallography. Kinetic parameters showed
that A65T, N67Q, F130Y, V134Q, L203T mutations did not influence catalytic properties of CA II,
but inhibitor affinities resembled CA VI, exhibiting up to 0.16 nM intrinsic affinity for CA VI-mimic. Structurally, binding site of CA VI-mimic was found to be similar to CA VI. The ligand interactions with
mutated side chains observed in three crystallographic structures allowed to rationalize observed
variation of binding modes and experimental binding affinities to CA VI. This integrative set of kinetic,
thermodynamic, and structural data revealed CA VI-mimic as a useful model to design CA VI-specific
inhibitors which could be beneficial for novel therapeutic applications. Human carbonic anhydrases (CAs) are widespread enzymes known for over 80 years1. CAs regulate both intra-
cellular and extracellular pH homeostasis through the catalysis of reversible carbon dioxide hydration to bicar-
bonate and proton. To date, there are twelve catalytically active human CAs, which display diverse sub-cellular
localization, tissue-specific expression, and kinetic properties2,3. Among a broad spectrum of CA-linked research
areas, clinical investigation is a major focus due to the implication of abnormal CA levels or their activities in
diseases, such as glaucoma4, epilepsy5, obesity6, and cancer7. Therefore, many efforts have been dedicated over
years to design CA isoform-selective compounds exhibiting sufficient affinity properties8. These derivatives would
be prospective for the translation into the clinic because of therapeutic efficacy without inducing undesired side
effects caused by inhibited vital off-target CAs. However, it is a challenging task because of the high structural
homology among human CAs9. gy
g
CA VI is the only secreted human CA isoform found in saliva10, serum11, milk12, respiratory airways13, and ali-
mentary canal14. www.nature.com/scientificreports www.nature.com/scientificreports Received: 17 February 2019
Accepted: 15 August 2019
Published: xx xx xxxx www.nature.com/scientificreports/ www.nature.com/scientificreports/ limitations, such as the largely unknown CO2 concentration and unfeasibility to measure inhibition constant
below several nM26. Therefore, biophysical techniques, such as the fluorescent thermal shift assay (FTSA) and
isothermal titration calorimetry (ITC), are promising alternatives to screen CA-targeting derivatives. FTSA is a
high-throughput method exhibiting minimized biomolecule consumption and low limitations for binding affin-
ity, thereby both strong (picomolar) and weak (millimolar) compounds can be identified during the same experi-
ment26–29. ITC allows the direct determination of stoichiometry and thermodynamic parameters, such as affinity,
enthalpy, entropy, and heat-capacity, during a single or several titration experiments but it demands relatively
large quantities of proteins and has limitations for assessing the binding affinity26,30,31. g q
p
g
gfi
y
Importantly, two types of variables can be distinguished when binding reactions are carried out by FTSA or
ITC: the observed parameters obtained from experimental setup and the intrinsic values calculated according
to the corresponding observed data. Most studies on the development of CA inhibitors usually provide only
observed binding parameters, which are dependent on experimental conditions and might be misleading. Both
the CA and inhibitor exist in different protonation states in the solution compared with ones in the complex. Therefore, protonation-deprotonation reactions are required to initiate the binding of inhibitor to CA. Only
intrinsic values subtract energetic contribution of binding-linked protonation events and thus are relevant for the
rational drug design32–35. g
g
Due to the recent advances in the structural and in silico biology, production of target recombinant proteins,
including CAs, in large quantities is of high demand for in vitro inhibitor screening of drug-candidates during
preclinical research. The literature lists a number of host cells for expression of recombinant proteins. Among
microorganisms, the enterobacterium Escherichia coli (E. coli) is selected frequently owing to numerous advan-
tages, such as rapid growth, easy genetic manipulation, and relative cost effectiveness36,37. However, the stability
of heterologous protein in E. coli can be influenced by the several factors, including mRNA instability, codon bias,
protein aggregation, toxicity, and lack of post-translational modification38,39. Results
E
t Enzymatic activity of CA VI-mimic correlates with CA II, but not CA VI. Studies on inhibitor selec-
tivity towards diverse human CA isoforms are important to develop efficient compounds for the treatment of
diseases caused by abnormal levels or activities of a particular CA isoform. Therefore, it is essential to evaluate
inhibitor affinity to all human CAs, including CA VI. Since our previous study40 indicated a low yield of recom-
binant CA VI from E. coli, we generated CA II mutant as a CA VI model protein (CA VI-mimic) for inhibitor
screening. Inhibitor affinities towards CA II and CA VI-mimic were expected to differ in the way imitating inhibi-
tor binding to CA VI, but not CA II (Fig. 1A). Thus, negligible differences between inhibitor affinities towards CA
VI and CA VI-mimic were presumed. According to computational modeling, five point mutations A65T, N67Q,
F130Y, V134Q, L203T were chosen (Figs 1B–D and S1) and introduced into the active site of CA II.h g
The catalytic activity of CA VI and CA VI-mimic to catalyze CO2 hydration reaction was measured by SFA
(Figs 2A and S3). Analysis of kinetic data showed that site-directed mutagenesis did not significantly affect either
the catalytic activity or pKa of zinc-bound water molecule of CA II. Catalytic constants (kcat) of CA II and CA
VI-mimic did not differ (kcat values were 6.0 × 105 s−1), whereas kcat for CA VI was lower than CA VI-mimic by
3-fold (1.9 × 105 s−1). In the pH range 5.9–7.0 Michaelis constants (KM) as well as kcat values of the carbon dioxide
hydration reaction were comparable: 7.3 ± 2.9 mM for CA II, 8.8 ± 1.8 mM for CA VI-mimic and 9.9 ± 3.2 mM
for CA VI. However, in the pH range 7.1–8.4 KM values of CA VI-mimic (6.8 ± 2.0 mM) were closer to CA II
(4.7 ± 1.0 mM) than to CA VI (11.3 ± 0.7 mM). Interestingly, maximum catalytic activity of CA VI was observed
at pH 7.0–8.0 and it decreased at pH above 8.0. The determined pKa value of zinc-bound water molecule of CA
VI was 6.6 ± 0.2. The observed inhibition constants by SFA correlated with dissociation constants determined by
FTSA. Typical SFA curves of CA II, CA VI-mimic and CA VI inhibition by compound 39 are shown in Fig. 2B. www.nature.com/scientificreports/ Therefore, different, more efficient
strategies to obtain functionally active recombinant proteins in high yield are required for screens of chemical
compounds with the aim to identify hits in the initial stages of drug discovery.h p
y
g
g
y
The goal of the present study was to design a CA II-based CA VI model protein, named as CA VI-mimic, for
the search of CA-isoform selective inhibitors. As CA VI-mimic, mutant of CA II containing five point mutations,
such as A65T, N67Q, F130Y, V134Q, L203T, was generated via site-directed mutagenesis. CA II was selected as a
core for CA VI-mimic because purification yield of CA II from E. coli is ~10-fold higher than CA VI, CA II has
highest catalytic efficiency among CAs, and CA II is confirmed as a stable CA protein for X-ray crystallography. Here enzymatic activity and inhibition of CA II, CAVI-mimic, and CA VI was determined by SFA. Biophysical
studies on inhibitor binding to CA II, CA VI-mimic, and CA VI were carried out by ITC and FTSA. X-ray crys-
tallography and computational modeling were used to compare positions of several inhibitors in the active sites
of CA II, CA VI-mimic, and CA VI. Observed and intrinsic thermodynamics were in line with structural results
which confirmed the relevance of CA VI-mimic as a CA VI model protein. The most tested benzenesulfonamides
bound to CA VI-mimic in a manner corresponding to their interactions with CA VI but not CA II, thereby
emphasizing suitability of the investigated CA II mutant mimicking CA VI for inhibitor screening. Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 OPEN Several studies have indicated the immunological CA VI function15,16 and have presented asso-
ciations of CA VI with bitter taste perception17,18 or protection of excess acidity-caused complications, including
dental caries19,20 and injuries of esophageal or gastric epithelium21. The link of CA VI with certain cancers, such as
that of salivary glands, has been speculated by gene comparison study22, which have shown close relation of CA
VI with CA IX, a marker of tumors23. Thus, there is a demand for effective and selective CA VI inhibitors, which
would be relevant to determine the exact physiological role of CA VI.i p y
g
For more than five decades, the most widely applied method in the search of CA isoform selective inhibitors
has been the stopped-flow assay of the catalytic activity of CO2 hydration (SFA)24,25. However, SFA has several 1Department of Biothermodynamics and Drug Design, Institute of Biotechnology, Vilnius University, Saulėtekio
7, Vilnius, LT-10257, Lithuania. 2Department of Bioinformatics, Institute of Biotechnology, Vilnius University,
Saulėtekio 7, Vilnius, LT-10257, Lithuania. 3Department of Protein-DNA Interactions, Institute of Biotechnology,
Vilnius University, Saulėtekio 7, Vilnius, LT-10257, Lithuania. 4Department of Information Technology, University
of Turku, FI-20520, Turku, Finland. 5Tampere University, Faculty of Medicine and Health Technology; Fimlab Ltd,
Tampere University Hospital, Arvo Ylpön katu 34, FI-33520, Tampere, Finland. 6Present address: Division of
Biochemistry, the Netherlands Cancer Institute, Amsterdam, the Netherlands. Correspondence and requests for
materials should be addressed to J.K. (email: kazokaite@ibt.lt) Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 Results
E
t Influence of buffer and pH for the observed binding affinity of ethoxzolamide to CA VI-mimic. Biophysical methods, such as ITC and FTSA, enable measurements of observed thermodynamics and thereafter
calculations of intrinsic affinities. The observed binding profiles are altered by linked reactions and therefore, only
intrinsic binding parameters can be correlated with compound structures, thereby revealing structural reasons
for protein-ligand binding affinity.if fi
Binding energetics are significantly affected by several protonation-deprotonation events which are necessary
for the binding of sulfonamide derivative to CA. Only deprotonated sulfonamides can interact with the zinc cat-
ion in the active site of pronated CA, containing zinc-coordinated water molecule (protonated hydroxy group). In
this study, observed and intrinsic affinities of inhibitor binding to CA VI-mimic were determined and compared Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 www.nature.com/scientificreports/ Figure 1. (A) The mimic of CA VI was prepared from CA II by site-directed mutagenesis of amino acids that
differ between two CA isoforms. The CA VI-mimic protein served as a model of compound binding to CA VI
(B) Active site of CA II (PDB ID: 3KS3). Dark red molecular surfaces mark the positions of point mutations
introduced in the active site of CA II to resemble CA VI by making a multiple-residue mutant of CA II (CA V
mimic). (C) Active site of CA VI (PDB ID: 3FE4). The light blue areas are buried molecular surfaces between
interacting molecules in the homodimeric complex. Dark red molecular surfaces mark the equivalent position
between multiple-residue mutant of CA II (CA VI-mimic) and CA VI. The labels belong to CA VI (CA II
numbering). (D) Superposed structures of the binding pockets of CA II (rose; PDB ID: 3M96), CA VI (blue;
)
d
(
) Th
d
d
f
l
d d k
d Figure 1. (A) The mimic of CA VI was prepared from CA II by site-directed mutagenesis of amino acids that
differ between two CA isoforms. The CA VI-mimic protein served as a model of compound binding to CA VI. (B) Active site of CA II (PDB ID: 3KS3). Dark red molecular surfaces mark the positions of point mutations
introduced in the active site of CA II to resemble CA VI by making a multiple-residue mutant of CA II (CA VI-
mimic). (C) Active site of CA VI (PDB ID: 3FE4). The light blue areas are buried molecular surfaces between
interacting molecules in the homodimeric complex. Results
E
t Dark red molecular surfaces mark the equivalent positions
between multiple-residue mutant of CA II (CA VI-mimic) and CA VI. The labels belong to CA VI (CA II
numbering). (D) Superposed structures of the binding pockets of CA II (rose; PDB ID: 3M96), CA VI (blue;
PDB ID: 3FE4), and CA VI-mimic (green; PDB ID: 6QL2). The mutated residues of CA II are colored dark red. The zinc ion in the active site of each CA isoform is shown as a grayish sphere in panels (B–D). Figure 1. (A) The mimic of CA VI was prepared from CA II by site-directed mutagenesis of amino acids that
differ between two CA isoforms. The CA VI-mimic protein served as a model of compound binding to CA VI. (B) Active site of CA II (PDB ID: 3KS3). Dark red molecular surfaces mark the positions of point mutations
introduced in the active site of CA II to resemble CA VI by making a multiple-residue mutant of CA II (CA VI-
mimic). (C) Active site of CA VI (PDB ID: 3FE4). The light blue areas are buried molecular surfaces between
interacting molecules in the homodimeric complex. Dark red molecular surfaces mark the equivalent positions
between multiple-residue mutant of CA II (CA VI-mimic) and CA VI. The labels belong to CA VI (CA II
numbering). (D) Superposed structures of the binding pockets of CA II (rose; PDB ID: 3M96), CA VI (blue;
PDB ID: 3FE4), and CA VI-mimic (green; PDB ID: 6QL2). The mutated residues of CA II are colored dark red. The zinc ion in the active site of each CA isoform is shown as a grayish sphere in panels (B–D). to their affinities towards CA II and CA VI. The obtained experimental data by FTSA on interactions between
ethoxzolamide (EZA) and CA VI-mimic in buffers with different pH showed that pH remarkably influenced
the observed binding Gibbs energy (ΔbGobs, Fig. 3A). The dependence of ΔbGobs on pH has also been observed
previously40,41 when EZA binding to CA II or CA VI was measured. The strongest interaction was determined
near neutral pH and became weaker both in acidic and alkaline pH. Sulfonamide group usually has pKa in the
range between 7 and 10, whereas CA isoforms have pKa around 7. Therefore, diminished EZA affinity in acidic
solution was because the fraction of binding-ready deprotonated form of EZA decreased by 10-fold with every
pH unit. Results
E
t Similarly, EZA affinity decreased in alkaline solution because the fraction of binding-ready CA with the to their affinities towards CA II and CA VI. The obtained experimental data by FTSA on interactions between
ethoxzolamide (EZA) and CA VI-mimic in buffers with different pH showed that pH remarkably influenced
the observed binding Gibbs energy (ΔbGobs, Fig. 3A). The dependence of ΔbGobs on pH has also been observed
previously40,41 when EZA binding to CA II or CA VI was measured. The strongest interaction was determined
near neutral pH and became weaker both in acidic and alkaline pH. Sulfonamide group usually has pKa in the
range between 7 and 10, whereas CA isoforms have pKa around 7. Therefore, diminished EZA affinity in acidic
solution was because the fraction of binding-ready deprotonated form of EZA decreased by 10-fold with every
pH unit. Similarly, EZA affinity decreased in alkaline solution because the fraction of binding-ready CA with the Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 www.nature.com/scientificreports/ Figure 2. Catalytic activity, inhibition and binding profiles of CA II (red squares), CA VI-mimic (wine triangles)
and CA VI (royal circles). (A) The plot of kcat dependence on pH by stopped-flow CO2 hydration assay (SFA). Solid lines were fit using single protonation model. (B) Inhibition of CAs by compound 39 using SFA. Data points
were fit to the Morrison eq. (solid lines)74,75. The insets show raw activity curves of CA catalyzed reaction without
added inhibitor (red, wine, royal lines), CA inhibited reaction with 313 nM added compound 39 (magenta, dark
yellow, purple lines) and spontaneous CO2 hydration reaction (pink, orange, cyan lines) in the absence of CA. (C) Dosing curves of compound 39 binding to CAs by fluorescent thermal shift assay (FTSA). Data points show
the ΔTm as a function of the total concentration of compound 39 added and the lines are simulated using fitting
parameters when temperature is 37 °C, CA concentration is 10 µM, enthalpy of unfolding is 690 kJ/mol for CA II
and CA VI-mimic, and 480 kJ/mol for CA VI, enthalpy of binding is −42 kJ/mol, heat capacity of binding is −0.8 J/
(molK) and the reference melting temperature is 56.8 °C for CA II, 63.1 °C for CA VI-mimic, and 47.6 °C for CA
VI. The ΔTm shift is equal for CA VI-mimic and CA VI, but Kd’s differ due to different enthalpies of unfolding. Results
E
t The
insets show CA unfolding curves at 0 and 200 µM inhibitor 39 concentrations. (D) Isothermal titration calorimetry
(ITC) curves of EZA binding to CA VI-mimic in phosphate (Pi, pH 6.1 (▲) and 8.4 (●)) and TRIS buffer (pH
6.9 (■)) at 25 °C. Lines were fitted using single binding site model. The insets show raw data ITC curves at 10 µM
CA VI-mimic concentration. Different observed enthalpies of binding illustrate the presence of binding-linked
protonation reactions that must be accounted for the determination of intrinsic binding parameters. Figure 2. Catalytic activity, inhibition and binding profiles of CA II (red squares), CA VI-mimic (wine triangles)
and CA VI (royal circles). (A) The plot of kcat dependence on pH by stopped-flow CO2 hydration assay (SFA). Solid lines were fit using single protonation model. (B) Inhibition of CAs by compound 39 using SFA. Data points
were fit to the Morrison eq. (solid lines)74,75. The insets show raw activity curves of CA catalyzed reaction without
added inhibitor (red, wine, royal lines), CA inhibited reaction with 313 nM added compound 39 (magenta, dark
yellow, purple lines) and spontaneous CO2 hydration reaction (pink, orange, cyan lines) in the absence of CA. (C) Dosing curves of compound 39 binding to CAs by fluorescent thermal shift assay (FTSA). Data points show
the ΔTm as a function of the total concentration of compound 39 added and the lines are simulated using fitting
parameters when temperature is 37 °C, CA concentration is 10 µM, enthalpy of unfolding is 690 kJ/mol for CA II
and CA VI-mimic, and 480 kJ/mol for CA VI, enthalpy of binding is −42 kJ/mol, heat capacity of binding is −0.8 J/
(molK) and the reference melting temperature is 56.8 °C for CA II, 63.1 °C for CA VI-mimic, and 47.6 °C for CA
VI. The ΔTm shift is equal for CA VI-mimic and CA VI, but Kd’s differ due to different enthalpies of unfolding. The
insets show CA unfolding curves at 0 and 200 µM inhibitor 39 concentrations. (D) Isothermal titration calorimetry
(ITC) curves of EZA binding to CA VI-mimic in phosphate (Pi, pH 6.1 (▲) and 8.4 (●)) and TRIS buffer (pH
6.9 (■)) at 25 °C. Lines were fitted using single binding site model. The insets show raw data ITC curves at 10 µM
CA VI-mimic concentration. Results
E
t Different observed enthalpies of binding illustrate the presence of binding-linked
protonation reactions that must be accounted for the determination of intrinsic binding parameters. zinc-bound protonated hydroxide (water molecule) decreased. According to U-shaped curve as the global fit of
experimental data extrapolated to 25 °C, intrinsic binding Gibbs energy (ΔbGintr) change upon EZA interaction
with CA VI-mimic was determined to be −52.4 kJ/mol which was 7.8 kJ/mol greater than the highest experimen-
tally observed value (−44.6 kJ/mol at pH 7.1). Difference of ΔbGintr (ΔΔbGintr) between EZA interaction with CA
VI-mimic and CA VI were smaller (ΔΔbGintr = −1.5 kJ/mol) compared to that between CA VI-mimic and CA
II (ΔΔbGintr = 6.1 kJ/mol). zinc-bound protonated hydroxide (water molecule) decreased. According to U-shaped curve as the global fit of
experimental data extrapolated to 25 °C, intrinsic binding Gibbs energy (ΔbGintr) change upon EZA interaction
with CA VI-mimic was determined to be −52.4 kJ/mol which was 7.8 kJ/mol greater than the highest experimen-
tally observed value (−44.6 kJ/mol at pH 7.1). Difference of ΔbGintr (ΔΔbGintr) between EZA interaction with CA
VI-mimic and CA VI were smaller (ΔΔbGintr = −1.5 kJ/mol) compared to that between CA VI-mimic and CA
II (ΔΔbGintr = 6.1 kJ/mol). (
b
intr
J
)
Observed standard enthalpy changes (ΔbHobs) upon EZA binding to CA VI-mimic formed an X-shaped curve
which depended on pH and buffer (Fig. 3B). The same tendency has been found previously40,41 when ΔbHobs of
EZA binding to CA II or CA VI was analyzed. Results were obtained by ITC titration at 25 °C in two buffers
exhibiting different protonation enthalpies: sodium phosphate (Pi) and TRIS. Upon EZA-CA VI-mimic titration,
more than 20 kJ/mol difference in ΔbHobs was observed in same buffer at different pHs (in TRIS buffer: −81.6 kJ/
mol at pH 6.5, −57.2 kJ/mol at pH 8.5; in Pi buffer: −38.9 kJ/mol at pH 5.2, −84.9 kJ/mol at pH 8.4). To dissect
protonation influence, intrinsic enthalpy (ΔbHintr) of EZA interaction with CA VI-mimic was globally fitted to
be −62.0 kJ/mol. Difference of ΔbHintr (ΔΔbHintr) between EZA interaction with CA VI-mimic and CA VI were
smaller (4.0 kJ/mol) compared to that between CA VI-mimic and CA II (11.0 kJ/mol). Thus, ΔbHintr were in line
with ΔbGintr, confirming that CA II mutant was mimicking CA VI for EZA binding. Results
E
t Protein
pKa
ΔpG, kJ/mol
ΔpH, kJ/mol
TΔpS, kJ/mol
CA IIa
7.1
−40.5
−26.0
14.5
CA VI-mimic
7.2
−41.1
−38.0
3.1
CA VIb
6.2
−35.4
−32.0
3.4
Table 1. Thermodynamic parameters of protonation of zinc-bound hydroxide anion of studied CA isoforms
as determined by FTSA and ITC at 25 °C. The uncertainty of the pKa values determined by FTSA and ITC is
approximately 0.2 pH units, while for the change in Gibbs energies and enthalpies it is approximately 2 kJ/mol. aData taken from41; bData taken from40. Protein
pKa
ΔpG, kJ/mol
ΔpH, kJ/mol
TΔpS, kJ/mol
CA IIa
7.1
−40.5
−26.0
14.5
CA VI-mimic
7.2
−41.1
−38.0
3.1
CA VIb
6.2
−35.4
−32.0
3.4 Table 1. Thermodynamic parameters of protonation of zinc-bound hydroxide anion of studied CA isoform
as determined by FTSA and ITC at 25 °C. The uncertainty of the pKa values determined by FTSA and ITC is
approximately 0.2 pH units, while for the change in Gibbs energies and enthalpies it is approximately 2 kJ/mo
aData taken from41; bData taken from40. Table 1. Thermodynamic parameters of protonation of zinc-bound hydroxide anion of studied CA isoforms
as determined by FTSA and ITC at 25 °C. The uncertainty of the pKa values determined by FTSA and ITC is
approximately 0.2 pH units, while for the change in Gibbs energies and enthalpies it is approximately 2 kJ/mol. aData taken from41; bData taken from40. Table 1. Thermodynamic parameters of protonation of zinc-bound hydroxide anion of studied CA isoforms
as determined by FTSA and ITC at 25 °C. The uncertainty of the pKa values determined by FTSA and ITC is
approximately 0.2 pH units, while for the change in Gibbs energies and enthalpies it is approximately 2 kJ/mol. aData taken from41; bData taken from40. Table 1. Thermodynamic parameters of protonation of zinc-bound hydroxide anion of studied CA isoforms
as determined by FTSA and ITC at 25 °C. The uncertainty of the pKa values determined by FTSA and ITC is
approximately 0.2 pH units, while for the change in Gibbs energies and enthalpies it is approximately 2 kJ/mol. aData taken from41; bData taken from40. (ΔpH) of the zinc-bound water molecule (Table 1). The pKa of CA VI-mimic was determined to be 7.2 at 25 °C as
the average of two pKa values evaluated independently by two techniques: 7.1 by FTSA and 7.3 by ITC. Results
E
t b
intri
g
g
g
Furthermore, analysis of U- and X-shaped curves obtained by FTSA and ITC, respectively, led to the charac-
terization of two important parameters of CA VI-mimic: ionization constant (pKa) and enthalpy of protonation Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 www.nature.com/scientificreports/ Figure 3. (A) Comparison of observed Gibbs energy changes (ΔbGobs) upon EZA binding to CA II (red), CA
VI-mimic (dark red), and CA VI (blue) as a function of pH (25 °C). Experiments were performed by FTSA in
universal buffer (50 mM sodium phosphate, 50 mM sodium acetate, and 25 mM sodium borate). The pKa for
CA VI-mimic was determined to be 7.1. (B) The observed enthalpy changes (ΔbHobs) upon EZA binding to
CA II (red), CA VI-mimic (dark red), and CA VI (blue) as a function of pH in two different buffers (sodium
phosphate (Pi) and TRIS), which have different protonation enthalpies. Experiments were performed by
isothermal titration calorimetry (ITC) at 25 °C. The dashed line shows the intrinsic binding enthalpy (ΔbHintr),
which is independent of pH. The pKa for CA VI-mimic was determined to be 7.3. Thermodynamic binding
parameters of EZA binding to CA II and CA VI have been previously published40,41. Red arrows indicate
difference in ΔbGintr or ΔbHintr of EZA binding to CA VI-mimic compared to CA II or CA VI. Figure 3. (A) Comparison of observed Gibbs energy changes (ΔbGobs) upon EZA binding to CA II (red), CA
VI-mimic (dark red), and CA VI (blue) as a function of pH (25 °C). Experiments were performed by FTSA in
universal buffer (50 mM sodium phosphate, 50 mM sodium acetate, and 25 mM sodium borate). The pKa for
CA VI-mimic was determined to be 7.1. (B) The observed enthalpy changes (ΔbHobs) upon EZA binding to
CA II (red), CA VI-mimic (dark red), and CA VI (blue) as a function of pH in two different buffers (sodium
phosphate (Pi) and TRIS), which have different protonation enthalpies. Experiments were performed by
isothermal titration calorimetry (ITC) at 25 °C. The dashed line shows the intrinsic binding enthalpy (ΔbHintr),
which is independent of pH. The pKa for CA VI-mimic was determined to be 7.3. Thermodynamic binding
parameters of EZA binding to CA II and CA VI have been previously published40,41. Red arrows indicate
difference in ΔbGintr or ΔbHintr of EZA binding to CA VI-mimic compared to CA II or CA VI. Results
E
t The pKas
of CA II and CA VI-mimic matched each other within the error margin of 0.2 pH unit42, whereas pKas of CA VI
and CA VI-mimic significantly differed by 1.0 pH (25 °C). Thus, target five point mutations of CA II, which were
introduced to design CA VI-mimic, did not affect amino acids surrounding zinc in active sites of CA II at the level
causing significant difference of pKas between CA II and CA VI-mimic. Moreover, ΔpH for CA VI-mimic was
assessed to be −38.0 kJ/mol at 25 °C. The difference of ΔpH between CA VI and CA VI-mimic (6.0 kJ/mol) was
2-fold lower than difference of ΔpH between CA II and CA VI-mimic (12.0 kJ/mol). Therefore, experiments with
one inhibitor EZA resulted in both pKa and ΔpH for CA VI-mimic, which are essential parameters to determine
intrinsic energetics of any other inhibitor binding to CA VI-mimic. Hydrophobic substituents and fluorine substituents significantly affected intrinsic inhibitor
binding affinity for CA VI-mimic. Here 43 benzenesulfonamide derivatives binding to CA VI-mimic
was measured by FTSA and inhibition constants of several selected compounds were confirmed by SFA. Trifluoromethanesulfonamide (TFS), EZA, and methazolamide (MZM) were used as controls. Structures of
tested compounds are shown in Fig. 4, while dissociation constants (Kd) are listed in Tables 2 and S1 (examples Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 www.nature.com/scientificreports/ www.nature.com/scientificreports/ www.nature.com/scientificreports
cientificreports/
of raw and integrated data of inhibitor binding to CA VI-mimic by FTSA and ITC at different pHs are indicated
Figure 4. Chemical structures of 1-46 compounds designed as CA inhibitors. Compounds 1-3 are standard
inhibitors of CAs that we used here as control compounds (TFS, EZA, and MZM). Figure 4. Chemical structures of 1-46 compounds designed as CA inhibitors. Compounds 1-3 are standard
inhibitors of CAs that we used here as control compounds (TFS, EZA, and MZM). Figure 4. Chemical structures of 1-46 compounds designed as CA inhibitors. Compounds 1-3 are standard
inhibitors of CAs that we used here as control compounds (TFS, EZA, and MZM). of raw and integrated data of inhibitor binding to CA VI-mimic by FTSA and ITC at different pHs are indicated
in Fig. 2C,D, respectively). of raw and integrated data of inhibitor binding to CA VI-mimic by FTSA and ITC at different pHs are indicated
in Fig. 2C,D, respectively). d
b
d h
d
h
b
h
b
d
h According to observed thermodynamics, EZA was shown to be the strongest binder to CA VI-mimic with
observed Kd (Kd_obs) of 17 nM. From a series of fluorinated benzenesulfonamides, compounds 22 and 26 bear-
ing substituents at para position were characterized to be the most potent CA VI-mimic inhibitors bound with
observed Kd (Kd_obs) in the range of 50–67 nM. The comparison between binding affinities of corresponding fluor-
inated and nonfluorinated compounds (6 vs 30, 15 vs 16, and 22 vs 23) showed that fluorination significantly
increased observed binding affinity and diminished pKa of inhibitor sulfonamide amino group. For instance, Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 www.nature.com/scientificreports/ Inhibitor
Lab. name
pKa_SA
Kd_obs (nM)
Kd_intr (nM)
CA II
CA VI-mimic
CA VI
CA II
CA VI-mimic
CA VI
1. TFS
6.02
20
33
14
8.0
15
1.2
2. EZA
7.82
1.3 (<5.0)
17 (<54)
33 (<54)
0.073
1.1
0.40
3. MZM
6.86
100
330
830
27
97
44
4. VD10-9
8.12
46
130
430
1.4
4.7
2.7
5. VD10-12
8.61
18
100
1100
0.19
1.2
2.4
6. VD10-13
8.14
11
130
200
0.32
4.2
1.2
7. VD10-14
8.84
91
330
1000
0.57
2.4
1.3
8. VD10-16
8.47
9.1
200
1200
0.13
3.3
3.7
9. VD10-18
7.80
3.4
140
200
0.20
9.8
2.5
10. VD10-35
7.28
17
130
67
2.5
22
2.1
11. VD10-39b
7.85
83
140
130
4.6
8.8
1.5
12. Table 2. The Kd_obs and Kd_intr values (nM) for interactions between inhibitor and three CA proteins: CA II,
CA VI-mimic, and CA VI. The observed inhibitor affinities for CA VI-mimic were obtained experimentally
by FTSA (pH 7.0, 37 °C), whereas the intrinsic parameters were calculated from the corresponding observed
data using pKa of 7.0 for CA VI-mimic at 37 °C as explained in the methods part. The standard error of Kd
measurements is ±2-fold. The pKa values of applied sulfonamide amino group (pKa_SA) and inhibitor affinities
towards CA II and CA VI have been already reported58,86. Dissociation constants Kds of selected compounds
were confirmed by SFA (pH 7.5). Experiments were performed at 23 °C and observed Kds were extrapolated
to 37 °C using van’t Hoff equation when enthalpy of binding is −42 kJ/mol. The values at 37 °C are given in
parentheses. The determined Kds at 23 °C are given in Table S2. www.nature.com/scientificreports/ VD10-45
7.69
5.8
140
140
0.43
12
2.2
13. VD10-49
7.83
0.65
110
200
0.037
7.2
2.3
14. VD10-50
8.02
9.6 (<43)
330 (140)
1000 (630)
0.37
15
7.9
15. VD11-9
8.05
1.7
100
400
0.061
4.1
3.0
16. VD11-36
10.1
12
500
1100
0.0039
0.20
0.077
17. VD11-67
8.67
5900
100 000
100 000
55
1000
190
18. VD11-51
7.07
3.3
130
160
0.68
31
6.6
19. VD11-56
7.97
20
330
500
0.86
16
4.4
20. VD11-71
8.67
500
2500
3300
4.6
26
6.3
21. VD12-04
8.67
1800
3300
20 000
17
35
38
22. VD12-05
8.15
2.2
50
140
0.065
1.7
0.86
23. VD12-10
10.2
25 (<36)
500 (200)
830 (3900)
0.0070
0.16
0.048
24. VD12-17
8.67
1300
5000
11 000
12
52
21
25. VD11-4-2
8.01
56
100
67
2.2
4.5
0.54
26. VD11-10
7.22
1.2
67
140
0.21
13
4.8
27. VD11-16
7.87
35
1000
2000
1.9
59
22
28. VD11-17
7.87
50
140
330
2.6
8.5
3.6
29. VD11-28
7.87
6.7
200
110
0.35
12
1.2
30. VD11-31
9.96
140
1000
5000
0.070
0.55
0.50
31. VD11-39
7.87
33
2000
1000
1.8
120
11
32. VD11-61
8.53
3.3
140
330
0.042
2.1
0.87
33. E46
8.90
50
50
200
0.28
0.31
0.23
34. E11-6
8.70
5.6
330
1100
0.048
3.3
2.0
35. E11-11
9.40
1000
2000
13 000
1.8
4.0
4.5
36. E11-12
8.90
8.5
500
5000
0.047
3.1
5.7
37. E11-14
8.90
7.1
330
3300
0.039
2.1
3.8
38. E11-15
9.40
560
1300
5000
0.98
2.5
1.8
39. E11-18
8.90
28 (<54)
500 (300)
2500 (1600)
0.15
3.1
2.8
40. E11-37
9.60
3600
3300
6700
4.0
4.2
1.5
41. E11-36
8.30
8.3
500
3300
0.16
12
14
42. E11-52
8.70
2.9
330
1400
0.025
3.3
2.5
43. E11-53
9.60
1700
3300
10 000
1.9
4.2
2.3
44. E11-57
9.60
140
500
3300
0.16
0.63
0.75
45. E11-60
8.70
250
500
3300
2.2
4.9
5.9
46. E11-64
9.40
100
1100
17 000
0.16
2.2
5.5
T bl
Th
d
l
(
) f
b
h b
d h Table 2. The Kd_obs and Kd_intr values (nM) for interactions between inhibitor and three CA proteins: CA II,
CA VI-mimic, and CA VI. www.nature.com/scientificreports/ For example, upon chlorination Kd_obs for 40 and
41 interaction with CA VI-mimic increased 430-fold (from 3600 nM to 8.3 nM, respectively), while pKa values
were lowered by 1.30 unit (from 9.60 to 8.30, respectively). y
(
p
y)
To investigate structure-activity relationships, intrinsic Kd (Kd_intr) values for interactions between CA
VI-mimic and investigated series of compounds were calculated. The largest differences between Kd_obs and Kd_intr
values were determined for nonfluorinated benzenesulfonamides (16, 23, and 30), where the binding to CA
VI-mimic differed 2500, 3200, and 1800-fold, respectively. Only five compounds (10, 18, 26, TFS, and MZM)
exhibited lower than 10-fold difference between the Kd_obs and Kd_intr. According to intrinsic thermodynamics,
the strongest binders were inhibitors 16, 23, 30, and 33 with Kd_intr in the range of 0.16–0.55 nM. Therefore, the
strongest intrinsic interaction between inhibitor and CA VI-mimic was observed when inhibitor did not possess
any fluorines in benzenesulfonamide scaffold and contained a hydrophobic substituent at para position, such
as SCH2CH2CH3 (Kd_intr for inhibitor 23 was 0.16 nM) and SCH2CH2Ph (Kd_intr for inhibitor 16 was 0.20 nM). Exceptionally, inhibitor 33 was the strongest binder to CA VI-mimic with chlorine at ortho position and large
hydrophilic group at meta position (Kd_intr was 0.31 nM). Replacement of the methyl group (inhibitor 23) by
hydrophilic hydroxyl group (inhibitor 30) weakened intrinsic binding affinity more than 3-fold (from to 0.16 nM
to 0.55 nM). Moving on to the structural analysis of fluorinated benzenesulfonamides, two inhibitors were deter-
mined to be the strongest binders to CA VI-mimic: compound 5 bearing 4-Morpholinyl group at para position
(Kd_intr was 1.2 nM) and 22 with SCH2CH2CH3 group at para position (Kd_intr was 1.7 nM). In line with results
obtained from nonfluorinated compounds, hydrophobic contacts between inhibitors and CA VI were identified
to be significant because the exchange of methyl group (inhibitor 22) by hydroxyl group (inhibitor 6) or car-
boxyl group (inhibitor 19) weakened intrinsic interaction by 2 and 9-fold, respectively. Apparently, the number
of methyl groups of substituents at para position had significant effect on intrinsic binding affinity. The inhibitor
32 with SCH2Ph bound to CA VI-mimic 2-fold stronger than inhibitor 15 with SCH2CH2Ph and 4-fold stronger
than inhibitor 9 with SPh. www.nature.com/scientificreports/ The observed inhibitor affinities for CA VI-mimic were obtained experimentally
by FTSA (pH 7.0, 37 °C), whereas the intrinsic parameters were calculated from the corresponding observed
data using pKa of 7.0 for CA VI-mimic at 37 °C as explained in the methods part. The standard error of Kd
measurements is ±2-fold. The pKa values of applied sulfonamide amino group (pKa_SA) and inhibitor affinities
towards CA II and CA VI have been already reported58,86. Dissociation constants Kds of selected compounds
were confirmed by SFA (pH 7.5). Experiments were performed at 23 °C and observed Kds were extrapolated
to 37 °C using van’t Hoff equation when enthalpy of binding is −42 kJ/mol. The values at 37 °C are given in
parentheses. The determined Kds at 23 °C are given in Table S2. Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 www.nature.com/scientificreports/ Figure 5. Comparison of logKd values representing observed (A) and intrinsic (B) inhibitor binding affinities
towards CA VI-mimic and CA II (red squares) or CA VI-mimic and CA VI (blue squares). Straight line
represents a model of equal affinity of inhibitor binding to pairwise proteins. Red and blue dashed lines show
linear regression models for inhibitor binding to CA II and CA VI, respectively. R2 values and linear equations
are indicated. Experiments were performed by FTSA (pH 7.0, 37 °C). Figure 5. Comparison of logKd values representing observed (A) and intrinsic (B) inhibitor binding affinities
towards CA VI-mimic and CA II (red squares) or CA VI-mimic and CA VI (blue squares). Straight line
represents a model of equal affinity of inhibitor binding to pairwise proteins. Red and blue dashed lines show
linear regression models for inhibitor binding to CA II and CA VI, respectively. R2 values and linear equations
are indicated. Experiments were performed by FTSA (pH 7.0, 37 °C). Kd_obs for 30 and 6 binding to CA VI-mimic increased 8-fold upon fluorination (from 1000 nM to 130 nM),
whereas Kd_obs for 23 and 22 increased affinity 10-fold (from 500 nM to 50 nM). Fluorines reduced pKa of sulfon-
amide group significantly: from 9.96 to 8.14 for inhibitors 30 and 6, respectively, and from 10.2 to 8.15 for com-
pounds 23 and 22, respectively (Table 2). Correspondingly, chlorine in most compounds also increased observed
affinity and reduced pKa of inhibitor sulfonamide amino group. www.nature.com/scientificreports/ For the intrinsic data,
only 6 compounds were identified as CA VI-mimic binders with the affinity more alike CA II compared to CA
VI. Moreover, mean absolute errors (MAEs) as the averages for each AE were also evaluated. MAEs of AEobs,CA II
and AEintr,CA II were equal to 1.1, while MAEs of AEobs,CA VI and AEintr,CA VI were significantly smaller, 0.47 and 0.41,
respectively. Therefore, CA VI-mimic designed via site-directed mutagenesis from CA II was characterized to be
a proper model of CA VI for observed and intrinsic inhibitor binding reactions. Differences in inhibitor binding affinities are due different binding modes as determined by
crystallographic analysis of CA II and CA VI-mimic. Despite numerous attempts, the crystal structures
of recombinant CA VI complexes with sulfonamide-based inhibitors were not obtained by soaking. Even though
CA VI crystals survived soaking procedure, crystals did not contain the clear electron densities of inhibitors. The
co-crystallization of CA VI protein with several inhibitors failed, as we did not obtain any crystals suitable for
X-ray diffraction experiment. Most likely, CA VI complexes with sulfonamide-based inhibitors cannot be crys-
tallized using crystallization conditions that are effective for the unbound CA VI protein. g
yf
p
To structurally investigate the binding of benzenesulfonamides with CA VI, we have engineered CA VI-mimic
and applied in crystallographic studies. We have solved crystal structures of CA VI-mimic complexes with three
inhibitors (Fig. S2): EZA (PDB ID: 6QL2), inhibitor 14 (PDB ID: 6QL1), and 25 (PDB ID: 6QL3). These com-
plexes were compared with the corresponding complexes composed of CA II and same ligands (EZA (PDB IDs:
3CAJ (X-ray), 6BCC (neutron diffraction)), inhibitor 14 (PDB ID: 4HT0), and 25 (4PYY)). The space groups
and unit cell parameters of CA VI-mimic crystals were similar to those of CA II (Table 3). There was one unique
protein-ligand complex in the asymmetric unit. CA VI-mimic binding pocket was found to be similar to CA VI
according to crystallographic studies (Fig. 1D) followed by thermodynamic analysis. For this reason, the insights
into the compound binding mode to CA VI-mimic are likely to be valid for analyzing the ligand binding data to
CA VI.h The comparison of binding mode of inhibitor 14 in the active sites of CA VI-mimic and CA II is shown in
Fig. 6A. www.nature.com/scientificreports/ Inhibitor 14 in the active site of CA VI-mimic had two alternative binding modes characterized by differ-
ent positions of the fluorinated ring: the ring was either lodged between Leu198 and Thr200 side chains (colored
cyan in Fig. 6A), or located in the hydrophilic part of active site (colored blue). On the other hand, in the active
site of CA II we had only one position of fluorinated ring – between Leu198 and Thr200. It looks like the replace-
ment of Phe130 in CA II with tyrosine in CA VI-mimic enabled additional position of fluorinated ring of ligand
due to a steric collision between the fluorine atom of fluorinated ring and the oxygen atom of Tyr130 side chain
(the close contact found in the structure was 2.5 Å). The alternative position of the fluorinated ring of compound
14 in the active site of CA VI-mimic probably was available only due to spatial fluctuations of Tyr130 side chain. Also, due to a significantly larger size and the hydrophilicity of the side chain of Gln134 in CA VI-mimic com-
pared to Val134 in CA II, the hydrophobic dimethylpyrimidine tail of inhibitor 14 was repelled in CA VI-mimic
(see para-group of the cyan ligand, Fig. 6A). Therefore, the change of size and the hydrophobicity/hydrophilicity
of the residues 130 and 134 upon mutation could be rationalized as the main causes for the relatively significant
difference in the binding affinities: inhibitor 14 bound to CA II 40-fold better than to CA VI-mimic (Kd_intr values
were 0.37 nM and 15 nM for CA II and CA VI-mimic, respectively; Table 2).h p
y
)
The model compound EZA was bound similarly in active sites of CA II and CA VI-mimic (Fig. 6B). Some
discrepancy was present only in the positions of highly flexible ethoxy moiety. The aliphatic-aromatic interactions
between the methyl group of Leu198 and the first ring of EZA was present in both cases. The larger side chain of
Tyr130 slightly changed the position of EZA aromatic ring in CA VI-mimic as compared with CA II due to steric
conflicts. It is important also to note the role of the residue 134 interacting with the hydrophobic tail of EZA,
similarly to the observation for inhibitor 14 above. The hydrophobic Val134 sidechain in CA II was mutated into
hydrophilic Gln134 in CA VI, leading to the worsening of the interaction. www.nature.com/scientificreports/ Most often, introducing diverse substituents at meta position did not change intrinsic
binding affinity significantly (6 vs 25, 26 vs 28, and 26 vs 29), except for 26 vs 31 bearing large hydrophobic group
which weakened interaction 9-fold. The compound 17 bearing two large and highly hydrophobic substituents
at ortho and para positions was the weakest binder not only according to the observed parameters (Kd_obs was
100 µM), but also intrinsic data (Kd_intr of 1000 nM). Thermodynamically CA VI-mimic binds benzenesulfonamides similarly to CA VI but differing
from CA II. To evaluate if CA VI-mimic based on CA II is a suitable CA VI model protein for inhibitor
screening, observed and intrinsic affinities represented by logarithmic Kd values of inhibitor binding to CA II,
CA VI-mimic, and CA VI were compared by applying linear regression. A higher linear correlation was deter-
mined between observed affinities of inhibitor binding to CA VI and CA VI-mimic (R2 = 0.79) compared to the
observed affinities of inhibitor interaction with CA II and CA VI (R2 = 0.61; Fig. 5A). Analysis of the calculated
intrinsic parameters were in line with experimentally measured observed data, emphasizing a stronger correla-
tion of the intrinsic thermodynamics of inhibitor binding to CA VI and CA VI-mimic (R2 = 0.74) compared to
that of CA II and CA VI-mimic (R2 = 0.56; Fig. 5B). Furthermore, regression line slopes indicating the compar-
ison of inhibitor binding to CA VI and CA VI-mimic (0.74 for observed affinity, 0.95 for intrinsic affinity) were
larger than the corresponding slopes for CA II and CA VI (0.54 for observed affinity, 0.58 for intrinsic affinity), Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 www.nature.com/scientificreports/ hereby indicating a lower difference between the inhibitor binding towards CA VI-mimic and CA VI compared
o CA II. thereby indicating a lower difference between the inhibitor binding towards CA VI-mimic and CA VI compared
to CA II.hl The influence of investigated CA II mutations on inhibitor binding thermodynamics was further analyzed by
calculating the absolute error (AE) values from logarithmic observed or intrinsic Kds of inhibitor binding to CA
VI-mimic, CA II, and CA VI. According to the observed thermodynamics, binding affinities of only 12 inhibitors
out of 46 tested compounds towards CA VI-mimic was more similar to CA II than CA VI. www.nature.com/scientificreports/ Thus, the mutations of residues 130 and
134 were the likely reasons for 15-fold stronger binding of EZA to CA II, as determined by intrinsic thermody-
namics (Kd intr values were 0.073 nM and 1.1 nM for CA II and CA VI-mimic, respectively; Table 2).h _
p
y
The intrinsic binding parameters of inhibitor 25 towards CA II and CA VI-mimic were comparable (2.2 nM vs
4.5 nM, respectively; Table 2). In contrast, the binding modes of the compound found in crystal structures were
different in these active sites. In CA II, inhibitor 25 had two alternative conformations: (1) the fluorinated ring
located between Leu198 and Thr200, whereas the cyclooctyl ring replaced the side chain of Phe130 (Fig. 6C, pink
ligand); (2) the fluorinated ring positioned in the hydrophobic part of active site, while the cyclooctyl ring – in
the hydrophilic part (Fig. 6D, pink ligand). In CA VI-mimic, compound 25 had one well-defined conformation
(Fig. 6C, D, blue) in which the cyclooctyl ring replaced the Tyr130 side chain, whereas the fluorinated ring occu-
pied the hydrophilic part of active site. We can explain the presence of the single conformation of inhibitor 25
bound to CA VI-mimic. It seems that the mutation in position 67 (asparagine to glutamine) allows the position
of fluorinated ring in hydrophilic part of active site when the para-substituent of ligand does not have sterical col-
lision with side chain of residue 67 (compare side chain conformations of asparagine (CA II) and glutamine (CA
VI-mimic), Fig. 6C, D). The same position of glutamine is found in the complexes of CA VI-mimic with inhibitor
14 and EZA ligands which means that compound 25 does not influence the position of side chain of residue 67
in CA VI-mimic. The replacement of asparagine (CA II) to glutamine (CA VI-mimic) creates the additional free
space in the active site and allows for another binding mode. www.nature.com/scientificreports/ Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 9 www.nature.com/scientificreports/ Isoform-ligand
CA VI-mimic – inhibitor 14
CA VI-mimic - EZA
CA VI-mimic – inhibitor 25
PDB ID
6QL1
6QL2
6QL3
Data-collection statistics
Space group
P1211
P1211
P1211
Unit-cell parameters (Å)
a = 42.3, b = 41.4, c = 71.2,
β = 104.3°
a = 42.1, b = 41.3, c = 71.4,
β = 104.2°
a = 42.2, b = 41.4, c = 71.9,
β = 104.2°
Resolution range (Å)
1.42–69.0
1.30–40.9
1.35–69.7
Wavelength (Å)
0.976300
0.975522
0.975522
Radiation source
EMBL, P14
EMBL, P14
EMBL, P14
Unique reflections number
42097
56403
52382
Rmerge, overall (outer shell)
0.042(0.241)
0.067 (0.334)
0.088 (0.338)
I/σ overall (outer shell)
22.7(7.2)
13.1 (5.0)
10.8 (4.1)
Multiplicity overall (outer shell)
7.0 (6.6)
6.9 (6.9)
6.8 (6.7)
Completeness (%) overall (outer shell)
92.8 (74.1)
96.4 (94.5)
98.8 (99.0)
Wilson B-factor
13.2
13.1
9.3
Refinement statistics:
Rwork
0.157
0.119
0.116
Rfree
0.185
0.157
0.156
RMSD bond lengths, (Å)
0.011
0.013
0.033
RMSD bond angles (°)
2.000
1.991
2.195
Average B factors (Å2):
all
16.7
20.4
15.0
main-chain
13.5
16.3
10.3
side-chain
16.2
21.7
14.8
inhibitors
26.9
13.3
17.3
waters
27.6
33.1
31.3
zinc
7.7
9.1
4.7
other molecules
40.5
37.0
36.9
Number of atoms:
all
2562
2380
2482
protein
2181
2111
2127
inhibitor
69
16
28
water
287
226
275
zinc
1
1
1
other molecules
24
26
51
Ramachandran statistics (%):
most favored regions
96
97
97
additionally allowed regions
4
3
3
outliers
0
0
0
Table 3. Data collection and refinement statistics of human CA VI-mimic and its complexes with inhibitors
inhibitor 14, 25, and EZA. All datasets were collected at 100 K, test set size was 10%. Table 3. Data collection and refinement statistics of human CA VI-mimic and its complexes with inhibitors
inhibitor 14, 25, and EZA. All datasets were collected at 100 K, test set size was 10%. Discussion Hydrophobic part of active site is shown as white surface, whereas hydrophilic part is shown as gray surface. (A)
Compound 14 bound to active sites of CA VI-mimic (two alternative conformations of 14 are shown in cyan
and blue, PDB ID: 6QL1) and CA II. The second ring of the “cyan” conformation of 14 in CA VI-mimic is not
resolved in crystal structure, and not shown. (B) EZA bound to active site of CA VI-mimic (PDB ID: 6QL2) and
CA II (PDB ID 3CAJ). Interaction of L198 with the first ring of compound is marked by thick dashed yellow
line. Yellow line designates hydrophobic pocket for binding of para-substituent. The typical interactions for
sulfonamide moiety are indicated, whereas they are omitted for clarity in other panels. (C, D) Compound 25
bound to active site of CA VI-mimic (PDB ID: 6QL3) and CA II (two alternative conformations of the ligand
are indicated, PDB ID 4PYY). Blue line designates a hydrophilic part of the active site of CA VI-mimic. Figure 6. Differences in the binding structural modes of three compounds in CA II and CA VI-mimic as
determined by X-ray crystallography. The zinc ion in active sites of CAs is shown as a light blue sphere. CA II
side chain residues and ligands bound to CA II are colored pink and are shown transparent. CA VI-mimic side
chains as well as its ligands are colored blue and also shown transparent. Mutated CA II side chains are labeled
red for CA II, blue for CA VI-mimic. Hydrogen bonds are shown as dashed lines and distances are marked. Hydrophobic part of active site is shown as white surface, whereas hydrophilic part is shown as gray surface. (A)
Compound 14 bound to active sites of CA VI-mimic (two alternative conformations of 14 are shown in cyan
and blue, PDB ID: 6QL1) and CA II. The second ring of the “cyan” conformation of 14 in CA VI-mimic is not
resolved in crystal structure, and not shown. (B) EZA bound to active site of CA VI-mimic (PDB ID: 6QL2) and
CA II (PDB ID 3CAJ). Interaction of L198 with the first ring of compound is marked by thick dashed yellow
line. Yellow line designates hydrophobic pocket for binding of para-substituent. The typical interactions for
sulfonamide moiety are indicated, whereas they are omitted for clarity in other panels. Discussion Nowadays enzymes encompass over one-third of drug targets investigated by large pharmaceutical companies43,
thereby emphasizing the relevance of target-based drug approach. This strategy aims to identify the compounds
which would exhibit the most therapeutically beneficial effect via modulating catalytic activity or expression
levels of disease-associated enzymes. The present study is focused on CA VI isoform as a drug target due to the
link of CA VI with several pathologies19,20,22. Even though several studies on the design of compounds targeting
CA VI have been reported40,44,45, CA VI-selective inhibitor has not been discovered so far. Therefore, there is an
interest in inhibitors with high affinity and selectivity against CA VI which would be crucial to reveal biological
function of CA VI. During preclinical development, numerous high-throughput screening assays are employed to design and
optimize hits toward a target protein. Therefore, in vitro techniques require high quantities of recombinant pro-
teins for the proper evaluation of compound quality, efficacy, and safety before testing in humans. Despite recent
advances in molecular sciences, difficulties in the production of recombinant proteins in large scale are observed. Our previous study40 indicated low yield of CA VI from E. coli. Here we have presented a strategy to apply CA
VI-mimic as CA VI model protein for the investigation on enzymatic inhibition and inhibitor binding thermody-
namics. The CA VI-mimic was designed via site-directed mutagenesis from CA II by introducing five point muta-
tions, such as A65T, N67Q, F130Y, V134Q, and L203T. Such approach to obtain CA protein based on the CA II
mutant for the search of CA-selective inhibitors has been successfully applied previously. It was due to troubles to
obtain sufficient amounts of recombinant CA isoforms and enabled by high structural homology between human Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 10 www.nature.com/scientificreports/ Figure 6. Differences in the binding structural modes of three compounds in CA II and CA VI-mimic as
determined by X-ray crystallography. The zinc ion in active sites of CAs is shown as a light blue sphere. CA II
side chain residues and ligands bound to CA II are colored pink and are shown transparent. CA VI-mimic side
chains as well as its ligands are colored blue and also shown transparent. Mutated CA II side chains are labeled
red for CA II, blue for CA VI-mimic. Hydrogen bonds are shown as dashed lines and distances are marked. Discussion (C, D) Compound 25
bound to active site of CA VI-mimic (PDB ID: 6QL3) and CA II (two alternative conformations of the ligand
are indicated, PDB ID 4PYY). Blue line designates a hydrophilic part of the active site of CA VI-mimic. CAs. McKenna’s group reported a number of structural studies on CA IX-mimic based on CA II mutant with 2
mutations (S65A, Q67N)46–48, 7 mutations (A65S, N67Q, E69T, I91L, F131V, K170E, L204A)49–51 or 8 mutations
(A9K, S65A, Q67N, T69E, L91I, V131F, E170K, A204L)52. Our group also published the exploration on inhibition
parameters and binding thermodynamics via the application of CA IX-mimic as CA II mutant with 6 mutations
(S65A, Q67N, L91I, V130F, L134V, A203L) and CA XII-mimic as CA II mutant with 6 mutations (S65A, K67N,
T91I, A130F, S134V, N203L)53. The significant findings of the listed studies promoted the present investigation
of CA II mutant mimicking CA VI. Over 10-fold higher purification yield of CA VI-mimic compared to CA VI
from E. coli allowed kinetic, thermodynamic, and structural analyses of 43 benzenesulfonamides binding to CA
VI-mimic. Even though the most tested inhibitors exhibited moderate affinities towards CA VI-mimic, this study
provided insight into the structure-based design of inhibitors with better affinity and selectivity towards CA VI. The observed kinetic parameters of CA VI and CA VI-mimic are consistent with previous works. The deter-
mined catalytic constant of CA VI compares reasonable well to published kcat value (3.4 × 105 s−1)44. The differ-
ence of kcat values most likely arise from the uncertain CO2 concentration in the previous work. The CA VI-mimic
had the same catalytic activity as CA II (kcat – 6.0 × 105 s−1) and confirmed previously published results that A65,
N67, F130, V134, L203 amino acids in the active site of CA II are not important for catalytic activity54–56. Three CAs. McKenna’s group reported a number of structural studies on CA IX-mimic based on CA II mutant with 2
mutations (S65A, Q67N)46–48, 7 mutations (A65S, N67Q, E69T, I91L, F131V, K170E, L204A)49–51 or 8 mutations
(A9K, S65A, Q67N, T69E, L91I, V131F, E170K, A204L)52. Our group also published the exploration on inhibition
parameters and binding thermodynamics via the application of CA IX-mimic as CA II mutant with 6 mutations
(S65A, Q67N, L91I, V130F, L134V, A203L) and CA XII-mimic as CA II mutant with 6 mutations (S65A, K67N,
T91I, A130F, S134V, N203L)53. www.nature.com/scientificreports/ times higher catalytic activity of CA VI-mimic than CA VI is an advantage in measuring nanomolar inhibition
constants by SFA, because similar to all enzymatic methods it is limited by both CA activity and concentration26. y
y
y
y
The relevance of protonation-deprotonation reactions occurring additionally upon inhibitor binding to CA
has been reviewed by several groups57,58. Such protonation events have been recently confirmed by neutron crys-
tallography59,60. To generate compounds with great affinities by rational design, it is essential to understand the
structural reasons for the changes in binding affinities of the investigated compounds towards the target. Only
intrinsic parameters subtract the contribution of protonation reactions occurring in conjunction with the bind-
ing reaction between the CA and inhibitor. In the present study, nonfluorinated benzenesulfonamides exhibited
stronger intrinsic and weaker observed binding affinity than corresponding fluorinated compounds. This result is
in line with the previous investigation34, emphasizing the impact of fluorine electronegativity on the lowering of
the pKa of inhibitor sulfonamide group but not the direct recognition of CA VI-mimic surface. The diminished
pKa of fluorinated inhibitors led to the elevated observed affinity due to the increased fraction of inhibitor in
the deprotonated form that bound to CA VI-mimic with the protonated zinc-bound hydroxide ion in the active
site. Furthermore, substituents at ortho and para, but not meta positions were identified to be significant for the
molecular recognition between the compound and CA VI. However, ortho and meta-substituted benzenesulfona-
mides have been recently shown to act as tight CA IX binders32. Therefore, such findings confirmed that intrinsic,
but not observed parameters should be applied to analyze the dependence of binding efficiency on compound
chemical structures, thereby allowing important structure-thermodynamics correlations to design CA-isoform
selective inhibitors. Inhibitor binding affinity can be significantly affected by structural properties of CA VI which have been
widely investigated. The crystal structure of recombinant CA VI catalytic domain, lacking signal sequence and
C-terminal region, has revealed its dimeric arrangement with the active sites of monomers facing each other and
directed towards the center of the dimer61. Interestingly, the recent study62 has indicated that pentraxin domain
(PTX) is present in non-mammalian CA VI, whereas PTX-coding exon is not found in mammalian CA6 gene
most likely due to rearrangements occurring upon the duplication of the adjacent glucose transporter genes. www.nature.com/scientificreports/ Instead of the PTX domain, mammalian CA VI contains a C-terminal region of at least 25 residues which is not
detected in other vertebrate CA isoforms. This part of CA VI may be important to form oligomers and bind other
proteins affecting CA VI enzymatic activity or causing biological effect as a consequence of CA VI-protein inter-
actions. Therefore, in vitro and in vivo studies on targeting CA VI can yield discrepancies in results because of the
structural differences between recombinant CA VI applied for inhibitor screening and endogenous CA VI of live
model organisms, such as mice or zebrafish.h gi
The combination of data obtained from enzymatic inhibition and biophysical binding methods, such as
FTSA and ITC, significantly strengthens the conclusions of compound structure-activity relationships. Since
techniques are based on different strategies to characterize inhibitor efficacies, the precision and accuracy of the
measurements are necessary to reliably select the most potent and strongest inhibitors/binders. The uncertainty
and repeatability of FTSA42 and ITC63,64 measurements have been previously discussed. Furthermore, correlation
between the affinities determined by FTSA and SFA or FTSA and ITC have been recently reported26,58 and con-
firmed in the present study. Therefore, both enzymatic inhibition and biophysical binding techniques are neces-
sary for precise identification of inhibitors with great affinity and selectivity towards the particular CA isoform,
thereby leading to the success in clinical development. y
g
p
In conclusion, this study on site-directed mutagenesis of residues in the active site of CA II to resemble CA VI
gave clues to the basis for isoform specificity of benzenesulfonamides towards CA VI over CA II. The characteri-
zation of numerous properties, such as kinetics of binding, inhibition profiles and the mechanism of action, pro-
vided the deeper insight into the efficacy of CA VI-targeting inhibitors. This in vitro step is crucial because only
sufficiently characterized compound can result in the success on translating experimental data to a clinical disease
setting. Moreover, the present kinetic, thermodynamic, and structural information is important for experiments
in silico, such as machine learning, when current binding information will be determined, filtered, and extracted. Discussion The significant findings of the listed studies promoted the present investigation
of CA II mutant mimicking CA VI. Over 10-fold higher purification yield of CA VI-mimic compared to CA VI
from E. coli allowed kinetic, thermodynamic, and structural analyses of 43 benzenesulfonamides binding to CA
VI-mimic. Even though the most tested inhibitors exhibited moderate affinities towards CA VI-mimic, this study
provided insight into the structure-based design of inhibitors with better affinity and selectivity towards CA VI. Th
b
d k
f
d
h
k
Th d Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 www.nature.com/scientificreports/ www.nature.com/scientificreports/ each sense and antisense primer, and 1.5 U DNA polymerase. Thermal cycling conditions: initial denaturation
– 95 °C for 10 min, then 18 cycles: 95 °C for 3 min, annealing – 66 °C (A65T and F130Y), 63 °C (N67Q), 71 °C
(V134Q), or 72 °C (L203T) for 2 min, extension – 72 °C for 8 min, final extension – one time 72 °C for 10 min. After temperature cycling, PCR product was treated with Dpn I restriction endonuclease in order to digest the
parental DNA template and to select new synthesized mutated DNA73. The mutations were confirmed by DNA
sequencing. each sense and antisense primer, and 1.5 U DNA polymerase. Thermal cycling conditions: initial denaturation
– 95 °C for 10 min, then 18 cycles: 95 °C for 3 min, annealing – 66 °C (A65T and F130Y), 63 °C (N67Q), 71 °C
(V134Q), or 72 °C (L203T) for 2 min, extension – 72 °C for 8 min, final extension – one time 72 °C for 10 min. After temperature cycling, PCR product was treated with Dpn I restriction endonuclease in order to digest the
parental DNA template and to select new synthesized mutated DNA73. The mutations were confirmed by DNA
sequencing. q
g
Expression of CA VI-mimic protein was carried out in E. coli BL21(DE3) strain. Transformed cells colony was
transferred to LB medium, containing 100 µg/ml ampicillin, grown at 37 °C and 220 rpm for 16 h. Then the satu-
rated culture was diluted (1:50) in fresh LB medium, containing 100 µg/ml ampicillin and 60 µM ZnSO4 and grown
to OD600 ≈ 0.8. The expression of CA VI-mimic protein was induced with 0.2 mM isopropyl-β-D-thiogalactoside
(IPTG) and 0.4 mM ZnSO4. The cells were grown over night at 19 °C, 220 rpm and harvested by centrifugation at
4000 g for 20 min at 4 °C. g
The biomass was suspended in the lysis buffer (20 mM HEPES, 0.15 M NaCl, and 1 mM PMSF, pH 7.4), incu-
bated at 4 °C for 60 min and then disrupted by sonication. Debris of cells and insoluble proteins precipitated after
centrifugation at 30 000 g for 25 min. The soluble CA VI-mimic protein was purified using a metal chelate and
CA-affinity chromatography. For the metal chelate chromatography the column was equilibrated with 20 mM
HEPES, 0.15 M NaCl (pH 7.4). www.nature.com/scientificreports/ Inhibitor concentration was 0–20 µM in <0.2% DMSO. Raw curves were fitted
using a single exponential model and the inhibition constants were determined using Morrison equation74,75: . =
−
⋅
+
+
−
+
+
−
CA act (%)
1
100%
CA
I
IC
CA
I
IC
CA I
CA
([
]
[ ]
([
]
[ ]
)
4[
][ ])
2[
]
50
50
2 where [CA] is the total concentration of the active CA molecules, [I] is the total added inhibitor concentration,
and IC50 is the concentration of inhibitor that achieves 50% inhibition of enzymatic activity. A dose-response
curve was fitted using fixed CA concentration and assuming that it is equal to the active enzyme concentration. where [CA] is the total concentration of the active CA molecules, [I] is the total added inhibitor concentration,
and IC50 is the concentration of inhibitor that achieves 50% inhibition of enzymatic activity. A dose-response
curve was fitted using fixed CA concentration and assuming that it is equal to the active enzyme concentration. Inhibitor binding by FTSA. FTSA measurements were performed using a Corbett Rotor-Gene 6000 (Qiagen
Rotor-Gene Q) instrument using the blue channel (excitation 365 ± 20 nm, detection 460 ± 15 nm). Samples contained
10 µL of 10 µM CA VI-mimic protein, 10 µL of 0–200 µM inhibitor in 50 mM phosphate buffer at pH 7.0 containing
100 mM NaCl, 50 µM solvatochromic dye 8-anilino-1-naphthalene sulfonate (ANS) and a final DMSO concentration
of 2%. The applied heating rate was 1 °C/min. The pH dependence of the observed binding constant was measured in
universal buffer containing 50 mM sodium phosphate, 50 mM sodium acetate, 25 mM sodium borate at pH 5.0–10.0. Data were fitted and analyzed as previously described72,76. Experiments were repeated at least twice. Inhibitor binding by ITC. ITC measurements were performed using a VP-ITC instrument (Microcal Inc.,
Northampton, USA) with 1.4 mL of 4–6 µM CA VI-mimic protein solution in the cell and 300 µL of 40–60 µM
ligand solution in the syringe. A typical experiment consisted of 25–30 injections (10 µL each) added at 200–240 s
intervals. In order to determine the pH dependence of the observed binding enthalpy, experiments were per-
formed at 25 °C in 50 mM phosphate or 50 mM TRIS buffer containing 100 mM NaCl at pH 5.0–10.0 with a final
DMSO concentration of 1%, equal in the syringe and the cell. www.nature.com/scientificreports/ For elution of CA VI-mimic protein, solution composed of 20 mM HEPES, 0.15 M
NaCl, and 0.2 M imidazole (pH 7.4) was used. Eluted protein was purified using a CA-affinity column containing
p-aminomethylbenzene sulfonamide-agarose (Sigma-Life Science Aldrich). Sorbent was equilibrated with 20 mM
HEPES, 0.15 M NaCl (pH 7.4). For the protein elution, solution composed of 0.1 M sodium acetate and 0.5 M
sodium perchlorate (pH 5.6) was used. Eluted CA VI-mimic protein was dialyzed into storage buffer containing
20 mM HEPES, 0.05 M NaCl, pH 7.4, and stored at −80 °C.h p
The purity of CA VI-mimic protein was analyzed by SDS-PAGE. Protein concentrations were determined
by UV-vis spectrophotometry using extinction coefficient ɛ280 = 51910 M−1 cm−1 and confirmed by standard
Bradford method. Molecular mass of CA VI-mimic protein was confirmed by Mass spectrometer: observed –
29192.4 Da, theoretically predicted – 29323.0 Da. The difference is due to Met residue removed during production. Enzymatic activity and inhibition by SFA. Enzymatic activity and inhibition experiments were per-
formed using an Applied Photophysics SX.18MV-R stopped-flow spectrophotometer at 23 °C. Saturated CO2
solution was prepared by bubbling the CO2 gas in Milli-Q water at 23 °C for 1 h. The concentration of CO2 was
determined using a model described previously26. Catalytic constants kcat and Michaelis constants KM of CA VI and CA VI-mimic were determined in a pH
range from 6.0 to 8.4 using 25 mM buffer and 30–300 µM indicator systems with similar pKa values: MES (pKa
6.1) and Bromocresol Purple (pKa 6.4, λ - 590 nm, pH 6.0–6.4), MOPS (pKa 7.2) and Bromothymol Blue (pKa 7.1,
λ - 615 nm, pH 6.8–7.1), HEPES (pKa 7.5) and Phenol Red (pKa 7.5, λ - 557 nm, pH 7.2–7.8), TRIS (pKa 8.06) and
m-Cresol Purple (pKa 8.3, λ - 575 nm, pH 8.0–8.4). CA VI and CA VI -mimic concentration was 50–100 nM. The
ionic strength of solution was maintained at 0.2 M by the addition of sodium sulfate. Maximal velocities vmax were
obtained using Lineweaver-Burk coordinates, and kcat, pKa values were determined using single ionization model: =
+
−
−
k
k
1
10
cat
cat
max
pH
pKa Enzyme inhibition experiments were performed using 25 mM HEPES buffer containing 0.2 M sodium sulfate
and 50 µM Phenol Red indicator, pH 7.5. Enzyme concentration was 10–30 nM for CA II, and 50 nM for CA VI
and 50–107 nM CA VI-mimic. Methods
S
h
i Synthesis of CA inhibitors. The synthesis of CA inhibitors has been previously described65–68. EZA, MZM
nd TFS were purchased from Sigma-Aldrich (St. Louis, MO, USA) and were used without further purification. Synthesis of CA inhibitors. The synthesis of CA inhibitors has been previously described65–68. EZA, M
and TFS were purchased from Sigma-Aldrich (St. Louis, MO, USA) and were used without further purificati Production of CA VI-mimic protein. The structural superpositions of proteins for Figs 1D and 6(A–D)
were performed using UCSF Chimera v. 1.1269. The residues within 5 Å from the typical CA II inhibitor in PDB
entry 3M96 in both isoforms were analyzed, and five residues which were different between the isoforms were
selected to create CA VI-mimic. The structure-based alignment was generated using PROMALS3D web server70. The sequence alignment figure was prepared using TeXshade package71.h h
gi
g
g
g
The expression vector pET15b-CA II72, encoding full length CA II (1-260), was used in site-directed mutagen-
esis. The residues located in CA II active site, A65, N67, F130, V134, and L203, were replaced to T, Q, Y, Q, and T,
respectively. For each mutagenesis reaction two oligonucleotide primers (sense and antisense) with target muta-
tion were used: A65T_s: 5‘CTC AAC AAT GGT CAT ACT TTC AAC GTG GAG3’ and A65T_a: CTC CAC
GTT GAA AGT ATG ACC ATT GTT GAG; N67Q_s: CAA TGG TCA TAC TTT CCA GGT GGA GTT TGA
TGA C and N67Q_a: GTC ATC AAA CTC CAC CTG GAA AGT ATG ACC ATT G; F130Y_s: CCA AAT ATG
GGG ATT ATG GGA AAG CTG TGC AG and F130Y_a: CTG CAC AGC TTT CCC ATA ATC CCC ATA TTT
GG; V134Q_s: GAT TAT GGG AAA GCT CAG CAG CAA CCT GAT GG and V134Q_a: CCA TCA GGT TGC
TGC TGA GCT TTC CCA TAA TC; L203T_s: GAC CAC CCC TCC TCT TAC GGA ATG TGT GAC CTG and
L203T_a: CAG GTC ACA CAT TCC GTA AGA GGA GGG GTG GTC. PCR was carried out with high fidelity
Pfu DNA polymerase (Thermo Fisher Scientific), except V134Q created with Phusion DNA polymerase (Thermo
Fisher Scientific). Composition of PCR: 1× polymerase buffer, 50 ng template DNA, 0.2 mM dNTPmix, 125 ng Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 www.nature.com/scientificreports/ www.nature.com/scientificreports/ =
+
−
−
−
f
10
1
10
_
_
RSO NH
pH
pK
pH
pK
a
SA
a
SA
2
=
−
+
−
−
f
1
10
1
10
_
_
CAZnH O
pH
pK
pH
pK
a
CA
a
CA
2 =
+
−
−
−
f
10
1
10
_
_
RSO NH
pH
pK
pH
pK
a
SA
a
SA
2 =
−
+
−
−
f
1
10
1
10
_
_
CAZnH O
pH
pK
pH
pK
a
CA
a
CA
2 The intrinsic Gibbs energy change (Δ G
b
intr) is associated with the change in Kd_intr for the binding reaction. Δ
=
G
RT
K
ln
_
b
intr
d
intr Δ
=
G
RT
K
ln
_
b
intr
d
intr The Kd_intr values for the tested benzenesulfonamide binding to CA VI-mimic were calculated using the pKa
of 7.0 for CA VI-mimic at 37 °C.h The Kd_intr values for the tested benzenesulfonamide binding to CA VI-mimic were calculated using the pKa
f 7.0 for CA VI-mimic at 37 °C.h The Δ H
b
obs was measured by ITC as the sum of enthalpies caused by inhibitor binding to CA and protonation
events, such as protonation enthalpies of buffer (Δ H
p
buf ), sulfonamide inhibitor (Δ H
p
SA), and hydroxide bound
to zinc in the active site of CA (Δ H
p
CA): Δ
= Δ
−
Δ
−
Δ
+
Δ
H
H
n
H
n
H
n
H
,
b
intr
b
obs
SA
p
SA
CA
p
CA
buf
p
buf where
=
−
−
n
f
1
SA
RSO NH
2
is the number of protons released from the inhibitor to buffer,
=
−
n
f
1
CA
CAZnH O
2 is
the number of protons bound to zinc-bound hydroxide of CA, and
=
+
n
n
n
buf
CA
SA is the sum of uptaken or
released protons by buffer. The enthalpy of protonation of TRIS and sodium phosphate buffers at 25 °C is equal to
−47.4 kJ/mol and −5.1 kJ/mol, respectively78. is Crystallization. The CA VI-mimic was concentrated by ultrafiltration to 19 mg/mL. Crystallization condi-
tion (buffer) was 0.1 M sodium BICINE (pH 9.0), 0.2 M ammonium sulfate and 2 M sodium malonate (pH 7.0). www.nature.com/scientificreports/ Data were integrated, fitted and analyzed as previ-
ously described77. Experiments were repeated at least twice. Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 13 www.nature.com/scientificreports/ Calculation of the intrinsic thermodynamics. The enzymatic or biophysical assays allow the determi-
nation of observed inhibitor affinity for CA. However, observed parameters depend on buffer or pH. Therefore,
observed values are only relevant for the comparison of inhibitor binding affinities towards the target using the
same experimental conditions and should not be used in structure-thermodynamics correlations in drug design. Calculation of the intrinsic thermodynamics. The enzymatic or biophysical assays allow the determi-
nation of observed inhibitor affinity for CA. However, observed parameters depend on buffer or pH. Therefore,
observed values are only relevant for the comparison of inhibitor binding affinities towards the target using the
same experimental conditions and should not be used in structure-thermodynamics correlations in drug design. p
y
g
g
Several protonation events take place upon the interaction between the inhibitor and CA: protonation of
zinc-bound hydroxide in the active site of CA, deprotonation of inhibitor sulfonamide group, bond formation
between CA and inhibitor, and compensating protonation-deprotonation reactions of buffer. To develop com-
pounds with great affinities in the rational drug design, intrinsic parameters must be determined by subtracting
the contribution of protonation reactions occurring in the conjunction with the inhibitor binding to CA58.h p
g
j
g
The parameter of Kd_intr is directly related to Kd_obs and fractions of deprotonated sulfonamide-based inhibitor
−
f(
)
RSO NH
2
and CA with protonated zinc-bound hydroxide (water molecule) in the active site f(
)
CAZnH O
2
. =
×
×
−
K
K
f
f
_
_
d
intr
d
obs
RSO NH
CAZnH O
2
2 The fractions of binding-ready inhibitor and CA depend on the pKa of sulfonamide amino group (pKa_SA) and
the pKa of water molecule in the active site of CA (pKa_CA), respectively. www.nature.com/scientificreports/ The ligand solutions for crystal soaking were made by mixing of 50 μL of corresponding reservoir solution and
1 μL of 50 mM ligand solution (in DMSO). Data collection and crystallographic structure determination. Three datasets of X-ray diffrac-
tion (CA VI-mimic in complex with inhibitor 14 (VD10-50), 25 (VD11-4-2), and EZA) were collected at the
EMBL beamline P14. The datasets were processed by XDS program79. The molecular replacement was made by
MOLREP program80 using as initial model 4HT0. The 3D models of compounds were created by AVOGADRO
program81. The library files which contain complete chemical and geometric descriptions of compounds were
created using LIBCHECK program82,83. The models were prepared using COOT84 and refined using REFMAC85. All represented graphics were made using Pymol programs (PyMOL, version 1.8.4.0). Coordinates and structure
factors have been deposited to the RCSB Protein Data Bank (PDB). The PDB access codes are listed in Table 3. 7. Mboge, M. Y., Mahon, B. P., McKenna, R. & Frost, S. C. Carbonic Anhydrases: Role in pH Control and Cancer. Metabolites 8 (2018)
8. Alterio, V., Di Fiore, A., D’Ambrosio, K., Supuran, C. T. & De Simone, G. Multiple Binding Modes of Inhibitors to Carbonic
Anhydrases: How to Design Specific Drugs Targeting 15 Different Isoforms? Chem. Rev. 112, 4421–4468 (2012).i Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 y
gi
g
g
gf
9. Pinard, M. A. et al. Probing the Surface of Human Carbonic Anhydrase for Clues towards the Design of Isoform Specific Inhibitors,
Probing the Surface of Human Carbonic Anhydrase for Clues towards the Design of Isoform Specific Inhibitors. BioMed Research
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recombinant proteins, carried out biophysical assays and analyzed thermodynamic parameters; V.K. performed
computational modelling; J.S. carried out enzymatic activity and inhibition measurements; A.S. and E.M. were
responsible for X-ray crystallographic analysis; J.K. wrote the first version of manuscript; J.K., V.K., J.S., A.S., E.M.,
M.T., S.P. and D.M. contributed to manuscript drafting and approved the final version of manuscript. Scientific Reports | (2019) 9:12710 | https://doi.org/10.1038/s41598-019-49094-0 16 www.nature.com/scientificreports/ Additional Information
Supplementary information accompanies this paper at https://doi.org/10.1038/s41598-019-49094-0. Competing Interests: D.M. declares that he has patents and patent applications pending on CA inhibitors. Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and
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Accuracy of Handheld Blood Glucose Meters at High Altitude
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University of Groningen University of Groningen Accuracy of Handheld Blood Glucose Meters at High Altitude de Mol, Pieter; Krabbe, Hans G.; de Vries, Suzanna T.; Fokkert, Marion J.; Dikkeschei, Bert
D.; Rienks, Rienk; Bilo, Karin M.; Bilo, Henk J. G. de Mol, Pieter; Krabbe, Hans G.; de Vries, Suzanna T.; Fokkert, Marion J.; Dikkeschei, Bert
D.; Rienks, Rienk; Bilo, Karin M.; Bilo, Henk J. G. DOI:
10.1371/journal.pone.0015485 DOI:
10.1371/journal.pone.0015485 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 Document Version
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Publisher's PDF, also known as Version of record Publication date:
2010 Link to publication in University of Groningen/UMCG research database Citation for published version (APA):
de Mol, P., Krabbe, H. G., de Vries, S. T., Fokkert, M. J., Dikkeschei, B. D., Rienks, R., Bilo, K. M., & Bilo,
H. J. G. (2010). Accuracy of Handheld Blood Glucose Meters at High Altitude. PLoS ONE, 5(11), Article
15485. https://doi.org/10.1371/journal.pone.0015485 Citation for published version (APA):
de Mol, P., Krabbe, H. G., de Vries, S. T., Fokkert, M. J., Dikkeschei, B. D., Rienks, R., Bilo, K. M., & Bilo,
H. J. G. (2010). Accuracy of Handheld Blood Glucose Meters at High Altitude. PLoS ONE, 5(11), Article
15485. https://doi.org/10.1371/journal.pone.0015485 Abstract 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. funded by the Isala Clinics, Zwolle, The Netherlands. The funders had no role in study design, data collection and analysis, decisions to
the manuscript. nding: This study was funded by the Isala Clinics, Zwolle, The Netherlands. The funders had no role in study design, data collection an
blish 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
il P d M l@ i
l * E-mail: P.deMol@aig.umcn.nl . These authors contributed equally to this work. . These authors contributed equally to this work. Previous studies have examined the accuracy and reliability of
various glucose meters at (simulated) altitudes up to 5,000 m. These and other studies with type 1 diabetes mellitus patients
indicated a considerable subset of the handheld blood glucose
meters (BGMs) to be unreliable at high altitude [1–6]. One could
hypothesize that glucose oxidase (GOX) BGMs, which use oxygen
as one of the substrates, would underestimate true glucose values
since less oxygen is available under hypobaric conditions. This
effect has been demonstrated by some [5]. Others have de-
monstrated oxygen independent BGMs using glucose dehydroge-
nase (GDH), to perform better under hypobaric conditions and
GOX based BGMs to underestimate true blood glucose levels [1]. However, these studies were limited by field- or simulated altitude
settings only [3–5], test protocols using only GOX based BGMs
[3], test protocols up to simulated altitudes ,4500 m [3–5] or with
outdated material [3,4]. Pieter de Mol1*., Hans G. Krabbe2., Suzanna T. de Vries3, Marion J. Fokkert2, Bert D. Dikkeschei2, Rienk
Rienks4, Karin M. Bilo5, Henk J. G. Bilo5,6 1 Department of Internal Medicine, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands, 2 Department of Clinical Chemistry, Isala Clinics, Zwolle, The Netherlands,
3 Department of Cardiology, Isala Clinics, Zwolle, The Netherlands, 4 Centre for Human Aviation, Dutch Airforce, Soesterberg, The Netherlands, 5 Department of Internal
Medicine, Isala Clinics, Zwolle, The Netherlands, 6 Department of Internal Medicine, University Medical Centre, Groningen, The Netherlands PLoS ONE | www.plosone.org Abstract Background: Due to increasing numbers of people with diabetes taking part in extreme sports (e.g., high-altitude trekking),
reliable handheld blood glucose meters (BGMs) are necessary. Accurate blood glucose measurement under extreme
conditions is paramount for safe recreation at altitude. Prior studies reported bias in blood glucose measurements using
different BGMs at high altitude. We hypothesized that glucose-oxidase based BGMs are more influenced by the lower
atmospheric oxygen pressure at altitude than glucose dehydrogenase based BGMs. Methodology/Principal Findings: Glucose measurements at simulated altitude of nine BGMs (six glucose dehydrogenase
and three glucose oxidase BGMs) were compared to glucose measurement on a similar BGM at sea level and to a laboratory
glucose reference method. Venous blood samples of four different glucose levels were used. Moreover, two glucose oxidase
and two glucose dehydrogenase based BGMs were evaluated at different altitudes on Mount Kilimanjaro. Accuracy criteria
were set at a bias ,15% from reference glucose (when .6.5 mmol/L) and ,1 mmol/L from reference glucose (when
,6.5 mmol/L). No significant difference was observed between measurements at simulated altitude and sea level for either
glucose oxidase based BGMs or glucose dehydrogenase based BGMs as a group phenomenon. Two GDH based BGMs did
not meet set performance criteria. Most BGMs are generally overestimating true glucose concentration at high altitude. Conclusion: At simulated high altitude all tested BGMs, including glucose oxidase based BGMs, did not show influence of
low atmospheric oxygen pressure. All BGMs, except for two GDH based BGMs, performed within predefined criteria. At true
high altitude one GDH based BGM had best precision and accuracy. Citation: de Mol P, Krabbe HG, de Vries ST, Fokkert MJ, Dikkeschei BD, et al. (2010) Accuracy of Handheld Blood Glucose Meters at High Altitude. PLoS
ONE 5(11): e15485. doi:10.1371/journal.pone.0015485 Citation: de Mol P, Krabbe HG, de Vries ST, Fokkert MJ, Dikkeschei BD, et al. (2010) Accuracy of Handheld Blood Glucose Meters at High Altitude. PLoS
ONE 5(11): e15485. doi:10.1371/journal.pone.0015485 bbe HG, de Vries ST, Fokkert MJ, Dikkeschei BD, et al. (2010) Accuracy of Handheld Blood Glucose Meters at High Altitude. PLoS
0.1371/journal.pone.0015485 Editor: Marian Ludgate, Cardiff University, United Kingdom Received August 4, 2010; Accepted October 1, 2010; Published November 12, 2010 Received August 4, 2010; Accepted October 1, 2010; Published November 12, 2010 Copyright: 2010 de Mol et al. Copyright Copyright
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number of authors shown on this cover page is limited to 10 maximum. Download date: 24-10-2024 November 2010 | Volume 5 | Issue 11 | e15485 Accuracy of Handheld Blood Glucose Meters at High
Altitude Pieter de Mol1*., Hans G. Krabbe2., Suzanna T. de Vries3, Marion J. Fokkert2, Bert D. Dikkeschei2, Rienk
Rienks4, Karin M. Bilo5, Henk J. G. Bilo5,6 Hypobaric chamber experiment Each sample was tested in duplicate under hypobaric and
normobaric conditions simultaneously, and results are presented as
the mean glucose levels with absolute (mmol/L) or relative (%) bias
from GHex glucose determination. Four of six tested GDH and all three GOX based BGMs
performed within predefined performance criteria of 61.0 mmol/
L when reference glucose was ,6.5 mmol/L and 615% when
reference glucose was .6.5 mmol/L at all simulated altitudes. There were no mechanical failures due to hypobaric conditions. To prevent glucose variation due to time-dependent glycolysis
by cellular uptake in blood samples (5–7% per hour [7]) a blood
sample was prepared for GHex reference testing using a perchloric
acid preparation method. The latter was done at the time spiked
glucose samples were prepared – prior to BGM and GHex testing. These blood samples were used for both GHex and BGM glucose
testing under normobaric and hypobaric conditions. One GDH based BGM (Freestyle mini) showed biases (range
15.2 to 18.5%) outside of predefined criteria for 7 out of 20 tested
glucose samples at simulated altitudes of 2000 m and 3000 m. Also, this BGM showed biases outside of predefined criteria at 4
out of 20 sea level readings (range 16.0 to 18.5%). Furthermore, another GDH based BGM (Precision X-ceed)
only showed biases outside of predefined criteria at sea level for 5,
10 and 15 mmol/L glucose samples (Table 1). In general, under
hypobaric conditions (at simulated altitude) both the GOX and
GDH based BGMs tended to overestimate glucose levels com-
pared to normobaric conditions (bias range; GDH BGMs: 28.2 to
16.9% and GOX BGMs: 0 to 10.8%) (Figure 1, 2 and Table 1, 2). Table 1 and 2 demonstrate the relative bias (%) of the 10 mmol/L
test sample, and is representative for the remaining tested glucose
samples (5, 15 and 20 mmol/L). Hypobaric chamber experiment We used a hypobaric chamber of the Dutch Airforce Research
facility in Soesterberg, The Netherlands. Six GDH and three
GOX based BGMs were tested at simulated altitudes: sea level,
2000 m, 3000 m, 4000 m and 5000 m while temperature (20uC)
and humidity were kept constant. GDH based BGMs used were;
Freestyle Mini and Precision X-ceed (both Abbott Diabetes Care,
USA), Hemocue 201+ (Quest Diagnostics U.K.), Accu-Chek
Aviva and Accu-Chek Compact Plus (both Roche Diagnostics,
Switzerland) and the Contour Link (Bayer, Germany). GOX
based BGMs used were; Glucocard Memory (Menarini Diagnos-
tics, Italy) Statstrip (Nova Biomedical, USA) and the Klinion
(Klinion Diabetes Care, Medeco the Netherlands) All BGMs used
were new - i.e. the same BGM was not extensively used for
medical practice before the experiments took place - to prevent
errors from wear and tear. Venous blood drawn from a healthy
individual spiked to a glucose concentration of 5, 10, 15 and
20 mmol/L was used as substrate to test BGMs. True glucose
values were determined with the laboratory certified Glucose
Hexokinase (GHex) based method (Roche Diagnostics, Manheim,
Germany). This GHex method is aligned with the GC-MS glucose
reference method. BGMs were simultaneously tested inside and
outside the hypobaric chamber, and samples were tested in
duplicate. Methods Performance criteria for BGMs were set at a difference of
61 mmol/L of the reference method when ,6.5 mmol/L, or
615% when the reference sample read $6.5 mmol/L (Dutch
Organisation of Applied Physics and Science (‘‘TNO’’) guideline,
the Netherlands). Furthermore, Clarke’s error grid analysis was used
to determine clinically relevant accuracy. [8] The error grid plots
the reference glucose and the glucose measured by the BGM on a x-
y plot. The grid is divided into 5 zones (A–E) of clinical accuracy and
corresponding treatment assumptions to correct the glucose value. Zone A represents the target glucose range and glucose values are
clinically accurate; Zone B represents glucose values that deviate
.15% from the reference glucose leading to no or benign
treatment; Zone C glucose values would lead to overcorrection of
acceptable glucose values causing hyper- or hypoglycemia; Zone D
represents glucose values that could lead to dangerous misdetection
and failure to treat; Zone E glucose values are opposite from the
reference glucose leading to very dangerous treatment decisions. Values in zone A and B are considered clinically acceptable. Glucose measured by BGMs is presented in means (mmol/L) 6
SEM unless stated otherwise. Deviation of mean BGM glucose from
the reference method is presented in percentage (%) and it’s range. Overestimation
is
presented
as
the
actual
percentage
and
underestimation is preceded by a minus (-) sign. Two experiments were performed; First, all BGMs were tested
at simulated altitudes in a hypobaric chamber. Second, a selection
of GOX and GDH based BGMs in the first experiment were used
during the ascent of Mount Kilimanjaro (5895 m). The local ethics committee of the Isala Clinics Zwolle, the
Netherlands, approved the study protocol and all participants gave
written informed consent. Introduction Regular exercise and a healthy life style should be part of daily
life of everybody, but definitely of any person with diabetes
mellitus. Minimal requirements for exercise have been formulated,
with a minimum of 30 minutes of vigorous exercise or brisk
walking, five times weekly. However, increasing numbers of people
with diabetes do participate in more strenuous forms of physical
activity, amongst others high-altitude trekking and mountain
climbing. These kinds of activities do pose special challenges to
subjects with diabetes mellitus treated with insulin. Glucose levels
have to be kept under good control, and it is a challenge to find a
balance between energy intake, energy expenditure, blood glucose
levels, and insulin requirements. In general, frequent assessment of
blood glucose levels will be necessary to allow proper adjustments. Therefore, both accuracy and easy accessibility of frequent
blood glucose measurements in subjects with type 1 diabetes
mellitus are paramount for a safe activity at high altitude. Since we planned an expedition to climb Mount Kilimanjaro
with a team of people with type 1 diabetes mellitus, we were in November 2010 | Volume 5 | Issue 11 | e15485 November 2010 | Volume 5 | Issue 11 | e15485 1 Measuring Blood Glucose at High Altitude need of the most reliable handheld BGMs up to 6000 m altitude. The purpose of this study was to investigate whether modern
GDH or GOX based BGMs are reliable under simulated and true
high altitude conditions. altitudes. These control solutions are made for the Statstrip BGM
and were primarily used to observe possible consistent biases
within that same BGM (precision) with repeated measures at
different altitudes. For between-BGM performance comparison
the best-tested BGM from the hypobaric chamber experiment –
the GDH based Accu-Chek Compact Plus- was used as a
reference. No air humidity was measured at altitude. We hypothesized, that GDH based BGMs would be more
accurate than GOX based BGMs at high altitude, since GDH
based BGMs are by definition less oxygen dependent in their
reaction than GOX based BGMs. Field experiment Relative bias (%) of GDH based BGMs compared to the Hexokinase laboratory reference method at different simulated
altitudes (10 mmol/L glucose sample). Note: normobaric BGMs stay at sea level. (normo = bias under normobaric conditions (sea level); hypo = bias under hypobaric conditions (simulated altitude),
* = reference method). Note: normobaric BGMs stay at sea level. (normo = bias under normobaric conditions (sea level); hypo = bias under hypobaric conditions (simulated altitude),
* = reference method). doi:10.1371/journal.pone.0015485.t001 specific results of the Accu-chek Compact Plus, there was a trend of
greater overestimation of 10 and 15 mmol/L glucose samples at
higher simulated altitudes. Furthermore, the smallest of biases was
found in the 20 mmol/L sample. However, the bias of this BGM
(bias range 21.1 to 6.7% at all glucose concentrations and
simulated altitudes) was well within predefined criteria for
acceptable bias and within meter variation was minimal. Moreover,
the meter was user-friendly, which is important, especially under
extreme conditions such as high altitude mountaineering. Indeed, differences observed were seen in all tested glucose
concentrations and were therefore not sample dependent. Moreover, no trend in bias was seen for the individual BGMs
with increasing simulated altitude. However, one GDH-based
BGM performed better under hypobaric than under normobaric
conditions (Precision Xceed). The best performing BGM under hypo- and normobaric
conditions and at all glucose concentrations tested was the GDH
based BGM Accu-chek Compact Plus. When further assessing the Figure 1. Error grid analysis of 5, 10, 15 and 20 mmol/L glucose testing samples of BGMs (y- axis) against reference (GHex) (x-axis)
at sea level. Note: Leftward deviation from dashed line means overestimation of true glucose by tested BGM compared to GHex reference glucose
and vice versa. No differences were noted outside of predefined criteria due to testing conditions at sealevel (0 m) in and outside the hypobaric
chamber. Black diamonds = Contour; Black squares = Accu Chek Aviva; Black circles = Accuchek Compact Plus; Black triangles = Freestyle Mini;
Black asterixes = Precision; Black stripes = Hemocue; White squares = Klinion; White circles = Statstrip; White diamonds = Glucocard; Dashed line
= GHex reference glucose. doi:10.1371/journal.pone.0015485.g001 Figure 1. Error grid analysis of 5, 10, 15 and 20 mmol/L glucose testing samples of BGMs (y- axis) against reference (GHex) (x-axis)
at sea level. Field experiment On Mount Kilimanjaro testing took place at incremental
altitudes (range 1300–4600 m), using capillary blood samples from
eight subjects with type 1 diabetes and eight healthy control
subjects. Care was taken to take a full droplet of blood from a
subject’s warm and clean index finger. Four BGMs, two GDH
based BGMs (Accu-Chek Compact Plus and Contour) and two
GOX based BGMs (Klinion and Glucocard) were used. Samples
were tested at temperatures ranging from 610–30uC using one
single sample of each subject. GHex reference testing was not
available at altitude. Instead, standard reference solutions (glucose
range 2.4–4.1; 4.4–6.7 and 14.0–17.9 mmol/L; NOVA biomed-
ical, USA) were used to test within-BGM performance at different As a group phenomenon, no significant difference was observed
between GOX- and GDH-BGMs under hypobaric conditions
(Bias at 2000–5000 m: 5.867.9 (25.0 to 19.1) vs. 7.566.5 (23.5
to 22.1) respectively (mean % 6 SEM (range %) (p = NS)). PLoS ONE | www.plosone.org November 2010 | Volume 5 | Issue 11 | e15485 PLoS ONE | www.plosone.org 2 Measuring Blood Glucose at High Altitude Table 1. Relative bias (%) of GDH based BGMs compared to the Hexokinase laboratory reference method at different simulated
altitudes (10 mmol/L glucose sample). GDH
Hexokinase *
Contour Link
Accu-chek Aviva
Accu-chek
Compact Plus
Freestyle Mini
Precision Xceed
Hemocue
Altitude
(m)
Glucose
(mmol/L)
normo
(%)
hypo
(%)
normo
(%)
hypo
(%)
no rmo
(%)
hypo
(%)
normo
(%)
hypo
(%)
normo
(%)
hypo
(%)
normo
(%)
hypo
(%)
0
10.05
3.8
4.3
3.8
1.5
2.9
1.5
2.4
15.5
11.1
9.5
22.6
20.5
2000
9.73
24.0
23.5
2.3
3.7
2.8
0.8
10.4
16.9
15.4
6.5
22.9
20.8
3000
9.38
22.5
2.8
0.8
23.0
2.8
2.8
12.8
15.2
15.9
8.1
26.5
23.0
4000
8.93
3.0
4.5
20.3
6.1
3.0
3.5
18.5
8.9
12.9
28.2
20.3
3.5
5000
8.50
6.1
0.0
6.1
5.0
4.5
4.5
17.1
11.5
12.8
0.6
2.9
7.6
Note: normobaric BGMs stay at sea level. (normo = bias under normobaric conditions (sea level); hypo = bias under hypobaric conditions (simulated altitude),
* = reference method). doi:10.1371/journal.pone.0015485.t001 Table 1. Relative bias (%) of GDH based BGMs compared to the Hexokinase laboratory reference method at different simulated
altitudes (10 mmol/L glucose sample). Table 1. Relative bias (%) of GDH based BGMs compared to the Hexokinase laboratory reference method at different simulated
altitudes (10 mmol/L glucose sample). Table 1. Field experiment Note: Leftward deviation from dashed line means overestimation of true glucose by tested BGM compared to GHex reference glucose
and vice versa. No differences were noted outside of predefined criteria due to testing conditions at sealevel (0 m) in and outside the hypobaric
chamber. Black diamonds = Contour; Black squares = Accu Chek Aviva; Black circles = Accuchek Compact Plus; Black triangles = Freestyle Mini;
Black asterixes = Precision; Black stripes = Hemocue; White squares = Klinion; White circles = Statstrip; White diamonds = Glucocard; Dashed line
= GHex reference glucose. doi:10.1371/journal.pone.0015485.g001 November 2010 | Volume 5 | Issue 11 | e15485 PLoS ONE | www.plosone.org 3 Measuring Blood Glucose at High Altitude Figure 2. Error grid analysis of 5, 10, 15 and 20 mmol/L glucose testing samples of BGMs (y- axis) against reference (GHex) (x-axis)
at 5000 m simulated altitude. Note: Leftward deviation from dashed line means overestimation of true glucose by tested BGM compared to GHex
reference glucose and vice versa. Black diamonds = Contour; Black squares = Accu Chek Aviva; Black circles = Accuchek Compact Plus; Black
triangles = Freestyle Mini; Black asterixes = Precision; Black stripes = Hemocue; White squares = Klinion; White circles = Statstrip; White diamonds
= Glucocard; Dashed line = GHex reference glucose. doi:10.1371/journal.pone.0015485.g002 Figure 2. Error grid analysis of 5, 10, 15 and 20 mmol/L glucose testing samples of BGMs (y- axis) against reference (GHex) (x-axis)
at 5000 m simulated altitude. Note: Leftward deviation from dashed line means overestimation of true glucose by tested BGM compared to GHex
reference glucose and vice versa. Black diamonds = Contour; Black squares = Accu Chek Aviva; Black circles = Accuchek Compact Plus; Black
triangles = Freestyle Mini; Black asterixes = Precision; Black stripes = Hemocue; White squares = Klinion; White circles = Statstrip; White diamonds
= Glucocard; Dashed line = GHex reference glucose. doi:10.1371/journal.pone.0015485.g002 doi:10.1371/journal.pone.0015485.t002 10.1371/journal.pone.0015485.t002 Discussion Overestimation of glucose by BGMs at true altitude could have
dangerous consequences when hypoglycemia is falsely not shown
by BGM readings and hypoglycemic symptoms might not be fully
sensed due to extreme conditions. At the hyperglycemic range, the
therapeutic decisions made due to overestimation of true blood
glucose have less consequences than in the hypoglycemic range,
where not treating hypoglycemia could lead to life threatening
conditions. In this perspective, the findings of underestimation by
the Glucocard GOX based BGM in the low glycemic range are
not considered as dangerous as vice versa. On the contrary, if
overestimation of glucose by BGMs at simulated altitude is truly
present at true altitude this might lead to dangerous situations. However, at simulated altitude overestimation was limited to 17
(9%) of all measurements, all of which fell in the lower B zone of
the error grid leading to no or benign treatment errors. The present study was conducted to test accuracy and reliability
of GOX and GDH based BGMs at simulated and true high
altitude. We hypothesized that oxygen independent GDH based
BGMs would be more reliable and accurate at high altitude. In contrast to previous reports and our hypothesis, no significant
differences were observed between GOX- and GDH-based BGMs
at simulated high altitude in all tested glucose ranges. At true high altitude within-meter variation and accuracy
compared to standard reference glucose solutions was better in the
GDH based BGMs, and best in the Accu-Chek Compact Plus
BGM, independent from glucose solutions used. In general, most BGMs tended to overestimate blood glucose at
high altitude. g
g
g
Research of BGMs at simulated high altitude up to 4000 m by
Gautier et al. has reported underestimation up to 228.9% using
venous blood samples of glucose ranges
from 1.5 up to
26.3 mmol/L. However, this study did not differentiate between
GOX or GDH based BGMs and BGMs used are outdated today. [4] Furthermore, O¨ berg and O¨ stenson tested four GDH and one
GOX based BGM at simulated and true high altitude up to 4500
and 5895 m respectively. Their study reported overestimation
ranging from 6.5 up to 15% of the GOX based BGM at normo-
and hyperglycemic glucose levels at 4500 and 2500 m. GDH
based BGMs performed better and overestimated true glucose
levels by 0.8 to 6.5% [1]. Field experiment GOX and GDH based BGMs at Mount Kilimanjaro at different altitudes tested with standard glucose solutions. Table 3. GOX and GDH based BGMs at Mount Kilimanjaro at different altitudes tested with standard glucose solutions. Table 3. GOX and GDH based BGMs at Mount Kilimanjaro at different altitudes tested with standard glucose solutions. Altitude
Control solution
GDH BGMs
GOX BGMs
(m)
Glucose (mmol/L)
Glucose (mmol/L)
Glucose (mmol/L)
Accu-chek Compact Plus
Contour
Klinion
Glucocard
1300
2.4–4.1
3.9
2.7
4.6
1.9
4.4–6.7
5.6
5.5
6.0
4.7
14.0–17.9
14.7
15.7
17.5
14.7
3000
2.4–4.1
3.9
3.0
3.0
1.6
4.4–6.7
5.9
5.6
5.6
4.3
14.0–17.9
14.9
16.6
15.5
14.2
3700
2.4–4.1
3.9
2.5
3.2
1.8
4.4–6.7
5.4
5.7
5.9
4.4
14.0–17.9
14.5
15.5
16.4
13.8
4600
2.4–4.1
3.8
3.1
2.6
1.4
4.4–6.7
6.0
5.9
4.9
4.2
14.0–17.9
14.9
16.2
13.9
14.0
doi:10.1371/journal.pone.0015485.t003 doi:10.1371/journal.pone.0015485.t003 standard
reference
glucose
solutions,
it
constantly
showed
underestimation of the lowest glucose reference sample and was
at the low end of the other reference samples. This is not well
explained by chemical technique used as the other GOX based
BGM (Klinion) did not show this phenomenon. A possible
explanation might be that substances in the reference glucose
solution or errors in test strips interfered with glucose measure-
ment in this meter. [9] criteria primarily observed in the 3.6 to 5.2 mmol/L mean glucose
range, and specifically due to an overestimation (Fig 3). In
comparison to the reference BGM, the Glucocard, a GOX based
BGM, performed better than the Contour (GDH) and the Klinion
(GOX) BGMs (3 vs. 10 vs. 8% of bias outside performance criteria
respectively). Most BGM performance criteria violations were
observed at altitudes of 3000–3900 m. PLoS ONE | www.plosone.org Field experiment when analyzing BGM accuracy in relation to the glucose solutions
reference measurements one GOX based BGM (Glucocard)
consistently underestimated true glucose measurement especially
in the lower glucose range (2.4 to 4.4 mmol/L). These results were
in accordance with results previously obtained in the hypobaric
chamber. Three standard glucose control solutions were used as a crude
reference method of BGM performance at Mt Kilimanjaro at
altitudes of 1300 m, 3000 m, 3700 m and 4600 m. Also one single
sample of capillary blood of eight subjects with type 1 diabetes
mellitus and eight healthy control subjects was used to test BGMs
at altitudes of 1300 m, 3000 m, 3770 m, 3900 m and 4600 m
altitude. When comparing BGMs on Mount Kilimanjaro with the best
tested BGM in the hypobaric chamber (Accuchek Compact Plus; a
GDH based BGM) for capillary glucose samples of subjects with
type 1 diabetes mellitus and healthy controls at altitudes ranging
1300–4600 m, a total of 228 paired glucose measurements were
analyzed. Of these, 47 (21%) were outside of set performance Measurements with the standard glucose control solutions
demonstrated consistent results of all BGMs except for the Klinion
GOX based BGM which showed a large within BGM variance at
different altitudes in all glucose ranges tested (Table 3). However, Table 2. Relative bias (%) of GOX based BGMs compared to the Hexokinase laboratory reference method at different simulated
altitudes (10 mmol/L glucose sample). GOX
Hexokinase *
Statstrip
Klinion
Glucocard
Altitude(m)
Glucos(mmol/L)
normo(%)
hypo(%)
normo(%)
hypo(%)
normo(%)
hypo(%)
0
10.05
12.6
9.5
25.8
5.2
2.9
5.2
2000
9.73
14.7
10.8
27.5
0.8
3.7
3.7
3000
9.38
11.1
5.8
22.5
3.4
25.3
4.8
4000
8.93
4.5
6.1
20.8
0.8
3.5
6.1
5000
8.50
2.3
5.6
22.4
0.0
4.5
6.6
Note: normobaric BGMs stay at sea level. (normo = bias under normobaric conditions (sea level); hypo = bias under hypobaric conditions (simulated altitude),
* = reference method). doi:10.1371/journal.pone.0015485.t002 sed BGMs compared to the Hexokinase laboratory reference method at different simulated Table 2. Relative bias (%) of GOX based BGMs compared to the Hexokinase laboratory reference method at different simulated
altitudes (10 mmol/L glucose sample). Table 2. Relative bias (%) of GOX based BGMs compared to the Hexokinase laboratory reference method at different simulated
altitudes (10 mmol/L glucose sample). November 2010 | Volume 5 | Issue 11 | e15485 Measuring Blood Glucose at High Altitude Table 3. Discussion Black diamonds = Contour; White squares = Klinion; White diamonds =
Glucocard; Dashed line = Accu Chek Compact Plus BGM as a reference glucose. doi:10.1371/journal.pone.0015485.g003 tested at true high altitude a wide range of bias was reported and
no reference method was used. but not on true bias due to the lack of a laboratory reference method at
high altitude. Also, the reference solution used was not compared to a
laboratory reference method upon return from altitude. However,
BGMs showed consistent findings that were in good accordance with
results obtained with the hypobaric chamber experiment. Our results differ from the findings in previous research. First,
we did not find a significant method-related difference between
GOX and GDH based BGMs at simulated high altitude. Second,
although not compared to a laboratory reference method, we did
not find a wide range of bias in GOX and GDH based BGMs up
to 4600 m at true high altitude. Second, on Mount Kilimanjaro blood glucose levels of tested
BGMs were compared to the best performing BGM as a reference
method based on results in a hypobaric chamber under constant
environmental conditions. One could speculate that alternating
temperatures and humidity on a mountain might influence the
accuracy of tested BGMs and the accuracy of the reference BGM
in particular, thereby compromising results. However, when
testing with standard glucose solutions, the reference BGM
showed best accuracy and within meter variation (Table 3). Moreover, in our study we tested BGMs at temperatures ranging
from 10 to 28uC and these are well within the range of
temperatures stated by BGM manufacturers to provide reliable
glucose measurements. A possible explanation for the first difference observed in
contrast to the study of Gautier et al. [4] might be improved
oxygen-based technique and sensitivity of the reagent for oxygen. This is reflected by the fact that it takes less time to read out
glucose test strips results now than it took thirteen years ago,
suggesting that GOX based BGMs need less oxygen in order to
show a proper reaction. In our study, BGMs were tested at simulated high altitude under
constant temperature and humidity, using a laboratory reference
method. Previous
research
reported
low
temperatures
and
humidity influence accuracy of BGMs independent of altitude
[1–2]. This might have compromised field research at true high
altitude and explained the wide range of bias in cold conditions at
5895 m in the other studies. Discussion Interestingly, two similar GDH based
BGMs were used and bias observed did not correspond with our
study; the Contour (GDH based) BGM in their study showed an
underestimation (21.9 to 24.2%) and the Freestyle (GDH based)
BGM only showed a bias of +0.8% of both ,5.8 and
,16.5 mmol/L glucose samples. When GDH based BGMs were At simulated high altitude one GDH based BGM performed
better under hypobaric conditions (Precision Xceed), possibly due
to in-meter failure of the normobaric BGM. This is suggested by
the fact that under normobaric conditions (sea level) this BGM
showed constant biases close to 15% in the 5, 10 and 15 mmol/L
glucose samples. Furthermore, the most inaccurate BGM in all
glucose ranges was the GDH based Freestyle Mini (28% of total
glucose readings . +15% bias) without an apparent effect of
altitude. Lastly, there was a time dependent glucose lowering effect seen
in the reference samples (GHex) possibly due to cellular uptake
despite perchloric acid preparation of samples. (Table 1, 2) As
expected, a parallel decrement in glucose was observed when
testing all BGMs. At true high altitude, the GOX based Glucocard BGM had
good within-meter variation and was reasonably accurate com-
pared to the reference BGM. However, when testing with November 2010 | Volume 5 | Issue 11 | e15485 5 Measuring Blood Glucose at High Altitude Figure 3. Error grid analysis of glucose samples of all (healthy controls and diabetes type 1) subjects measured by GOX- and GDH-
BGMs (y-axis) at different altitudes on Mount Kilimanjaro (range 1300–4600 m) compared to Accuchek BGM glucose as a reference
method (x-axis); (mmol/L). Note: leftward deviation from dashed line indicates overestimation of glucose measured by BGM and rightward
deviation means underestimation by BGM compared to Accu-Chek BGM. Black diamonds = Contour; White squares = Klinion; White diamonds =
Glucocard; Dashed line = Accu Chek Compact Plus BGM as a reference glucose. doi:10.1371/journal.pone.0015485.g003 Figure 3. Error grid analysis of glucose samples of all (healthy controls and diabetes type 1) subjects measured by GOX- and GDH-
BGMs (y-axis) at different altitudes on Mount Kilimanjaro (range 1300–4600 m) compared to Accuchek BGM glucose as a reference
method (x-axis); (mmol/L). Note: leftward deviation from dashed line indicates overestimation of glucose measured by BGM and rightward
deviation means underestimation by BGM compared to Accu-Chek BGM. Discussion [1,2]. Since at 4600 m we tested
BGM’s at 28uC, the difference in temperature might explain this
contrasting result. Based on the tests in the hypobaric chamber and at true high
altitude we concluded that the Accu-check Compact Plus GDH
based BGM was most accurate at simulated altitude and most
precise at true high altitude. PLoS ONE | www.plosone.org Acknowledgments We would like to thank the Centre for Human Aviation and the Dutch
Airforce in Soesterberg, the Netherlands, for providing the hypobaric
chamber testing facilities and their assistance. If a similar effect of overestimation is present at true high
altitude this could have dangerous consequences in the normo-
and hypoglycemic range. Therefore, true high altitude studies with
approved laboratory reference methods with measurement of
humidity and temperature as possible confounders are warranted. Conclusion This study has limitations that might influence its results. No differences were observed between GDH and GOX based
BGMs at simulated altitude up to 5000 m. All of the tested BGMs, First, on Mount Kilimanjaro we could only test BGM’s on within
meter variation and relative bias compared to the best tested BGM, PLoS ONE | www.plosone.org November 2010 | Volume 5 | Issue 11 | e15485 6 Measuring Blood Glucose at High Altitude except for two GDH based BGMs, performed within defined
criteria for acceptable accuracy at simulated altitude. In general, at
simulated high altitude BGMs tend to overestimate true glucose
levels. At true high altitude GDH based BGMs performed better
in relation to within-meter variation and accuracy. 9. Ginsberg BH (2009) Factors affecting blood glucose monitoring: sources of errors
in measurement. J Diabetes Sci Technol 3: 903–913. Author Contributions Conceived and designed the experiments: PdM HGK STdV MJF HJGB
BDD. Performed the experiments: PdM KMB MJF RR. Analyzed the
data: HGK PdM. Contributed reagents/materials/analysis tools: MJF
HGK BDD. Wrote the paper: HGK PdM. Permitted the use of hypobaric
chamber of the royal airforce: RR. Conceived and designed the experiments: PdM HGK STdV MJF HJGB
BDD. Performed the experiments: PdM KMB MJF RR. Analyzed the
data: HGK PdM. Contributed reagents/materials/analysis tools: MJF
HGK BDD. Wrote the paper: HGK PdM. Permitted the use of hypobaric
chamber of the royal airforce: RR. Conceived and designed the experiments: PdM HGK STdV MJF HJGB
BDD. Performed the experiments: PdM KMB MJF RR. Analyzed the
data: HGK PdM. Contributed reagents/materials/analysis tools: MJF
HGK BDD. Wrote the paper: HGK PdM. Permitted the use of hypobaric
chamber of the royal airforce: RR. p
g
8. Clarke WL, Cox D, Gonder-Frederick LA, Carter W, Pohl SL (1987) Evaluating
clinical accuracy of systems for self-monitoring of blood glucose. Diabetes Care
10: 622–628. 4. Gaultier JF, Bigard AX, Douce P, Duvallet A, Cathelineau G (1996) Influence of
simulated high altitude on performance of five blood glucose meters. Diabetes
Care 19: 1430–1433. 7. Chan AY, Swaminathan R, Cockram CS (1989) Effectiveness of sodium fluoride
as a preservative of glucose in blood. Clin Chem 35: 315–317. 3. Fink KS, Christensen DB, Ellsworth A (2002) Effect of high altitude on blood
glucose meter performance. Diabetes Technol Ther 4: 627–635. y
y
g
J
g
6. Pecchio O, Maule S, Migliardi M, Trento M, Veglio M (2000) Effects of
exposure at an altitude of 3,000 m on performance of glucose meters (Letter).
Diabetes Care 23: 129–131. 1. O¨ berg D, O¨ stenson CG (2005) Performance of Glucose Dehydrogenase- and
Glucose Oxidase-Based Blood Glucose Meters at High Altitude and Low
Temperature (Letter). Diabetes Care 28: 1261.
2. Moore K, Vizzard N, Coleman C, McMahon J, Hayes R, Thompson CJ (2001)
Extreme altitude mountaineering and type 1 diabetes: the Diabetes Federation
of Ireland Kilimanjaro Expedition. Diabet Med 18: 749–755.
3. Fink KS, Christensen DB, Ellsworth A (2002) Effect of high altitude on blood
glucose meter performance. Diabetes Technol Ther 4: 627–635.
4. Gaultier JF, Bigard AX, Douce P, Duvallet A, Cathelineau G (1996) Influence of
simulated high altitude on performance of five blood glucose meters. Diabetes
Care 19: 1430–1433. PLoS ONE | www.plosone.org 1. O¨ berg D, O¨ stenson CG (2005) Performance of Glucose Dehydrogenase- and
Glucose Oxidase-Based Blood Glucose Meters at High Altitude and Low
Temperature (Letter). Diabetes Care 28: 1261. p
(
)
2. Moore K, Vizzard N, Coleman C, McMahon J, Hayes R, Thompson CJ (2001)
Extreme altitude mountaineering and type 1 diabetes: the Diabetes Federation
of Ireland Kilimanjaro Expedition. Diabet Med 18: 749–755. 5. Bilen H, Kilicaslan A, Akcay G, Albayrak F (2007) Performance of glucose
dehydrogenase (GDH) based and glucose oxidase (GOX) based blood glucose
meters systems at moderately high altitude. J Med Eng Technol 31: 152–156. 5. Bilen H, Kilicaslan A, Akcay G, Albayrak F (2007) Performance of glucose
dehydrogenase (GDH) based and glucose oxidase (GOX) based blood glucose
meters systems at moderately high altitude. J Med Eng Technol 31: 152–156.
6. Pecchio O, Maule S, Migliardi M, Trento M, Veglio M (2000) Effects of
exposure at an altitude of 3,000 m on performance of glucose meters (Letter).
Diabetes Care 23: 129–131.
7. Chan AY, Swaminathan R, Cockram CS (1989) Effectiveness of sodium fluoride
as a preservative of glucose in blood. Clin Chem 35: 315–317.
8. Clarke WL, Cox D, Gonder-Frederick LA, Carter W, Pohl SL (1987) Evaluating
clinical accuracy of systems for self-monitoring of blood glucose. Diabetes Care
10: 622–628.
9. Ginsberg BH (2009) Factors affecting blood glucose monitoring: sources of errors
in measurement. J Diabetes Sci Technol 3: 903–913. References 5. Bilen H, Kilicaslan A, Akcay G, Albayrak F (2007) Performance of glucose
dehydrogenase (GDH) based and glucose oxidase (GOX) based blood glucose
meters systems at moderately high altitude. J Med Eng Technol 31: 152–156. PLoS ONE | www.plosone.org November 2010 | Volume
| Issue
| e15485
5
11 7 7
|
https://openalex.org/W3087118494
|
https://link.springer.com/content/pdf/10.1007/s10157-020-01969-7.pdf
|
English
| null |
Initial responsiveness to darbepoetin alfa and its contributing factors in non-dialysis chronic kidney disease patients in Japan
|
Clinical and experimental nephrology
| 2,020
|
cc-by
| 7,504
|
Abstract Background Hyporesponsiveness to erythropoiesis-stimulating agents (ESAs) is associated with cardiovascular events and
poor renal outcome in patients with chronic kidney disease (CKD). This study aimed to investigate the initial responsiveness
to darbepoetin alfa (DA) and its contributing factors using the data from the BRIGHTEN. g
yp
p
y
p
g g
(
)
poor renal outcome in patients with chronic kidney disease (CKD). This study aimed to investigate the initial responsiveness
to darbepoetin alfa (DA) and its contributing factors using the data from the BRIGHTEN. Methods Of 1980 patients enrolled at 168 facilities, 1695 were included in this analysis [285 patients were excluded mainly
due to lack of hemoglobin (Hb) values]. The initial ESA response index (iEResI) was defined as a ratio of Hb changes over
12 weeks after DA administration per weight-adjusted total DA dose and contributing factors to iEResI were analyzed. Results The mean age was 70 ± 12 years (male 58.8%; diabetic nephropathy 27.6%). The median creatinine and mean Hb
levels at DA initiation were 2.62 mg/dL and 9.8 g/dL, respectively. The most frequent number of DA administration dur-
ing 12 weeks was 3 times (41.1%), followed by 4 (15.6%) times with a wide distribution of the total DA dose (15–900 μg). Remarkably, 225 patients (13.3%) did not respond to DA. Multivariate analysis showed that male gender, hypoglycemic
agent use, iron supplementation, high eGFR, low Hb, low CRP, low NT-proBNP, and low urinary protein–creatinine ratio
were independently associated with better initial response to DA (P = < 0.0001, 0.0108, < 0.0001, 0.0476, < 0.0001, 0.0004,
0.0435, and 0.0009, respectively). Conclusions Non-responder to DA accounted for 13.3% of patients with non-dialysis CKD. Iron supplementation, low CRP,
low NT-proBNP, and less proteinuria were predictive and modifiable factors associated with better initial response to DA. Keywords Erythropoiesis-stimulating agents · Hyporesponsiveness · Darbepoetin alfa · Chronic kidney disease · Pre-
dialysis Keywords Erythropoiesis-stimulating agents · Hyporesponsiveness · Darbepoetin alfa · Chronic kidney disease · Pre-
dialysis Terumasa Hayashi1 · Hideki Kato2 · Kenichiro Tanabe3 · Masaomi Nangaku2 · Hideki Hirakata4 ·
Takashi Wada5 · Hiroshi Sato6 · Yasushi Yamazaki7 · Takao Masaki8 · Tatsuo Kagimura3 · Hiroyasu Yamamoto9 ·
Hiroki Hase10 · Masahiro Kamouchi11 · Enyu Imai12 · Kyoichi Mizuno13 · Manabu Iwasaki14 · Tadao Akizawa15 ·
Yoshiharu Tsubakihara16 · Shoichi Maruyama17 · Ichiei Narita18 Terumasa Hayashi1 · Hideki Kato2 · Kenichiro Tanabe3 · Masaomi Nangaku2 · Hideki Hirakata4 ·
Takashi Wada5 · Hiroshi Sato6 · Yasushi Yamazaki7 · Takao Masaki8 · Tatsuo Kagimura3 · Hiroyasu Yamamoto9 ·
Hiroki Hase10 · Masahiro Kamouchi11 · Enyu Imai12 · Kyoichi Mizuno13 · Manabu Iwasaki14 · Tadao Akizawa15 ·
Yoshiharu Tsubakihara16 · Shoichi Maruyama17 · Ichiei Narita18 Received: 9 January 2020 / Accepted: 4 August 2020 / Published online: 19 September 2020
© The Author(s) 2020 Clinical and Experimental Nephrology (2021) 25:110–119
https://doi.org/10.1007/s10157-020-01969-7 Clinical and Experimental Nephrology (2021) 25:110–119
https://doi.org/10.1007/s10157-020-01969-7 ORIGINAL ARTICLE Initial responsiveness to darbepoetin alfa and its contributing factors
in non‑dialysis chronic kidney disease patients in Japan Terumasa Hayashi1 · Hideki Kato2 · Kenichiro Tanabe3 · Masaomi Nangaku2 · Hideki Hirakata4 ·
Takashi Wada5 · Hiroshi Sato6 · Yasushi Yamazaki7 · Takao Masaki8 · Tatsuo Kagimura3 · Hiroyasu Yamamoto9 ·
Hiroki Hase10 · Masahiro Kamouchi11 · Enyu Imai12 · Kyoichi Mizuno13 · Manabu Iwasaki14 · Tadao Akizawa15 ·
Yoshiharu Tsubakihara16 · Shoichi Maruyama17 · Ichiei Narita18 * Ichiei Narita
naritai@med.niigata‑u.ac.jp DA administration DA was administered within 8 weeks after the registration
along its product information (30 μg every 2 weeks for the
initial dose, subcutaneously or intravenously, and the dosage
and duration should be adjusted thereafter to maintain Hb
levels at ≥ 11 g/dL); however, the dose adjustment was actu-
ally entrusted to the physicians’ discretion in each facility
as the BRIGHTEN was conducted in a real-world clinical
setting. Study population incidence of CVD events, especially stroke, and mortality. Furthermore, post hoc analyses of CHOIR and TREAT tri-
als suggested that poor outcomes might not have resulted
from achieving higher Hb level itself but resulted from
toxicities associated with high-dose ESAs, patient-related
factors promoting ESA hyporesponsiveness, or a combina-
tion of both [16, 17]. Thus, in the management of anemia
for CKD patients, ESA hyporesponsiveness should be pre-
dicted and appropriate dose of ESA should be adminis-
tered to patients with ESA hyporesponsiveness. However,
clinically relevant definition of ESA hyporesponsiveness
is not available at present because its definition should be
based on the index associated with poor renal, cardiovas-
cular, or overall outcome [18]. Patients aged ≥ 20 years with estimated glomerular filtra-
tion rate (eGFR) of < 60 mL/min/1.73 m2 (calculated with
the Japanese equation [20]) who presented renal anemia
(Hb < 11 g/dL) were enrolled from June 2014 to Sep-
tember 2016. Patients scheduled to initiate maintenance
dialysis or undergo kidney transplantation until 24 weeks
after registration; those with history of ESA treatment
(administered with ESA temporarily and > 12 weeks
before registration were eligible); and those with malig-
nant tumors under treatment, hematologic diseases, or
hemorrhagic diseases were excluded. Of 1980 patients
enrolled in 168 facilities, 285 patients were excluded
mainly due to the lack of Hb values at 0 and 12 weeks
(84 ± 14 days). Finally, 1695 patients were included in
the data analysis (Fig. 1). Patients were observed for
96 weeks since DA administration. The “oBservational clinical Research In chronic kid-
ney disease patients with renal anemia: renal proGnosis in
patients with Hyporesponsive anemia To Erythropoiesis-
stimulating agents, darbepoetiN alfa (BRIGHTEN)” is a
multicenter prospective observational study conducted in
a real-world clinical setting in Japan to explore the preva-
lence of hyporesponsiveness to darbepoetin alfa (DA) and
to establish an appropriate index of hyporesponsiveness to
DA associated with poor renal outcome and CVD events
in non-dialysis CKD patients. Patient enrollment started in
June 2014, and the observation period ended in September
2018. Therefore, this study aimed to investigate the initial
responsiveness to DA and its contributing factors using the
data from the BRIGHTEN. Introduction mortality, and kidney function as well as quality of life
in this patient population [6–11]. Furthermore, the ben-
eficial effect of ESAs was greater with high hemoglobin
(Hb) levels; however, the optimal target Hb level in ESA
treatment remains controversial. A series of large RCTs
comparing the effect of normalizing Hb level (> 13 g/
dL) with conservative Hb level (10–11 g/dL) on mortality
and cardiovascular disease (CVD) events was conducted
over the past two decades and showed a consistent result
of harm with normalizing Hb level [12–15]. The Correc-
tion of Hemoglobin and Outcomes in Renal Insufficiency
(CHOIR) trial [14] and the Trial to Reduce Cardiovascular
Events with Aranesp Therapy (TREAT) [15] conducted on
pre-dialysis CKD patients showed that targeting higher Hb
level compared with targeting lower Hb level increased the Anemia in patients with chronic kidney disease (CKD)
is associated with poor renal, cardiovascular, and overall
outcomes [1–5]. Observational studies and small rand-
omized controlled trials (RCTs) showed that correction
of anemia with erythropoiesis-stimulating agents (ESAs)
was associated with beneficial outcomes in morbidity, Electronic supplementary material The online version of this
article (https://doi.org/10.1007/s10157-020-01969-7) contains
supplementary material, which is available to authorized users. * Ichiei Narita
naritai@med.niigata‑u.ac.jp
Extended author information available on the last page of the article Electronic supplementary material The online version of this
article (https://doi.org/10.1007/s10157-020-01969-7) contains
supplementary material, which is available to authorized users. * Ichiei Narita
naritai@med.niigata‑u.ac.jp Extended author information available on the last page of the article Vol:1 .(123456789
3 Clinical and Experimental Nephrology (2021) 25:110–119 111 incidence of CVD events, especially stroke, and mortality. Furthermore, post hoc analyses of CHOIR and TREAT tri-
als suggested that poor outcomes might not have resulted
from achieving higher Hb level itself but resulted from
toxicities associated with high-dose ESAs, patient-related
factors promoting ESA hyporesponsiveness, or a combina-
tion of both [16, 17]. Thus, in the management of anemia
for CKD patients, ESA hyporesponsiveness should be pre-
dicted and appropriate dose of ESA should be adminis-
tered to patients with ESA hyporesponsiveness. However,
clinically relevant definition of ESA hyporesponsiveness
is not available at present because its definition should be
based on the index associated with poor renal, cardiovas-
cular, or overall outcome [18]. Materials and methods Patient baseline characteristics (age, sex, etiology of CKD,
smoking status, medical history, comorbidities, hypogly-
cemic agent use, renin–angiotensin system inhibitor use,
iron supplementation, body mass index, and blood pres-
sure) were collected at the study registration. The clear Study design The study design and other details of the study protocol have
been published elsewhere [19]. The protocol was approved
by the main institutional review board (Nagoya University;
No. 2014-0027) and then by each participating center. The
research was conducted under the health insurance system
of Japan and in accordance with the principles of the Decla-
ration of Helsinki and Ethical Guidelines on Clinical Stud-
ies of the Ministry of Health, Labor, and Welfare of Japan. Written informed consent was provided by each participant. The research was designed, implemented, and overseen by
the BRIGHTEN Executive Committee, together with rep-
resentatives of Translational Research Center for Medical
Innovation, Kobe, Japan, a third-party organization inde-
pendent of the investigators’ institutions and responsible for
data collection and analysis. The manuscript was prepared
by one of the authors and subsequently revised and edited
by all authors. The study was registered to ClinicalTrials. gov (NCT02136563) and UMIN-CTR (UMIN000013464). 1 3
1980 enrolled
1695 included in the analysis
285 excluded (there was some overlapping)
39 withdrawal of consent
11 conflicted with inclusion or exclusion criteria
32 withdrew before 12 weeks
97 had no data of DA administraon
244 had no available hemoglobin value at 0 and 12 weeks
Fig. 1 Screening of patient. DA darbepoetin alfa Fig. 1 Screening of patient. DA darbepoetin alfa 112 Clinical and Experimental Nephrology (2021) 25:110–119 were analyzed using the general linear model adjusted by
gender as a factor. We included all baseline demographic
and clinical variables into univariate analysis; then variables
significantly associated with iEResI (P < 0.05) were incorpo-
rated into multivariate analysis. All analyses were performed
using SAS version 9.4 (SAS Institute, Cary, NC, USA), and
P values of < 0.05 were considered significant. definition of diabetes and dyslipidemia was not adopted for
the BRIGHTEN, while the diagnosis was entrusted to inves-
tigators’ judgement. Complete blood count including Hb, serum creatinine,
albumin, iron, ferritin, total iron-binding capacity (TIBC),
hemoglobin A1c and urinary protein–creatinine ratio (PCR)
were measured at each facility laboratory at the beginning
of the study and on week 12. In addition, high-sensitivity
C-reactive protein (CRP), folic acid, vitamin B12, aminoter-
minal pro-brain natriuretic peptide (NT-pro BNP), iron, fer-
ritin, and TIBC were measured at the clinical laboratory
company (SRL, Tokyo, Japan). Results The mean patient age was 70 ± 12 years (male 58.8%). Dia-
betic nephropathy was the leading cause of CKD (27.6%)
followed by nephrosclerosis (23.5%) and chronic glomeru-
lonephritis (22.5%). The prevalence of coronary artery dis-
ease, heart failure, stroke, and peripheral artery disease was
15. 8%, 7.0%, 11.7%, and 11.0%, respectively. Creatinine
and Hb levels at DA initiation were 2.62 (1.89, 3.61) mg/dL Response index to DA For the assessment of ESA hyporesponsiveness, the use of
the following formulae (ESA resistance index; ERI [21])
were originally planned. ERI −1A =
Dose of DA at 12 weeks (휇g)
Concentration of Hb (g∕dL) at 12 weeks × body weight (kg), Dose of DA at 12 weeks (휇g) 1A =
Dose of DA at 12 weeks (휇g) ERI −1A =
Dose of DA at 12 weeks (휇g)
Concentration of Hb (g∕dL) at 12 weeks × body weight (kg), ERI −1A =
(휇g)
Concentration of Hb (g∕dL) at 12 weeks × body weight (kg), ERI −1B =
Dose of DA at 12 weeks (휇g)
Concentration of Hb (g∕dL) at 12 weeks,
ERI −2A = Total dose of DA during 12 weeks (휇g)
ΔHb 0−12(g∕dL) × body weight (kg) ,
ERI −2B = Total dose of DA during 12 weeks (휇g)
ΔHb 0−12(g∕dL)
, ERI −1B =
Dose of DA at 12 weeks (휇g)
Concentration of Hb (g∕dL) at 12 weeks, and 9.8 ± 0.9 g/dL, respectively (Table1). The prevalence of
patients with serum ferritin level < 50 μg and TSAT < 20%
was 27.2% and 22.4%, respectively (Supplementary Fig. 1). The most frequent number of DA administration dur-
ing 12 weeks was 3 times (n = 697, 41.1%), followed by 4
(n = 265, 15.6%) and 2 (n = 248, 14.6%) times with a wide
distribution of the total DA dose ranging from 15 μg to
900 μg (Figs. 2, 3). The total DA dose and hemoglobin lev-
els increased in relation to the number of DA administration
for 12 weeks (Fig. 3). and 9.8 ± 0.9 g/dL, respectively (Table1). The prevalence of
patients with serum ferritin level < 50 μg and TSAT < 20%
was 27.2% and 22.4%, respectively (Supplementary Fig. 1). The most frequent number of DA administration dur-
ing 12 weeks was 3 times (n = 697, 41.1%), followed by 4
(n = 265, 15.6%) and 2 (n = 248, 14.6%) times with a wide
distribution of the total DA dose ranging from 15 μg to
900 μg (Figs. 2, 3). The total DA dose and hemoglobin lev-
els increased in relation to the number of DA administration
for 12 weeks (Fig. 3). Response index to DA ERI −2A = Total dose of DA during 12 weeks (휇g)
ΔHb 0−12(g∕dL) × body weight (kg) , ERI −2B = Total dose of DA during 12 weeks (휇g)
ΔHb 0−12(g∕dL)
, where ΔHb 0–12 (g/dL) = Hb (g/dL) at 12 weeks—Hb (g/
dL) before DA administration. where ΔHb 0–12 (g/dL) = Hb (g/dL) at 12 weeks—Hb (g/
dL) before DA administration. iEResI increased with the number of DA administration,
especially in the total DA dose between 90 μg and 180 μg;
whereas, it was not associated with the total DA dose and
even lower in the total DA dose of > 180 μg (Table 2 and
Fig. 4). However, some patients showed decreased or no changes
in Hb level (ΔHb 0–12 < 0 or = 0) during 12 weeks after DA
administration; thus, these aforementioned formulae were
not used in the data analysis. Instead, initial ESA response
index (iEResI) was defined as a reciprocal of the ERI-2A. Notably, 225 patients (13.3%) had no response or even
had reduced Hb level at week 12 (DA hyporesponsiveness
group). A similar pattern of histograms of total DA dose
during 12 weeks in two groups with and without DA hypore-
sponsiveness was observed; however, there was a statisti-
cally significant difference in the median cumulative DA
dose between two groups with [100 (60, 180) μg] and with-
out DA hyporesponsiveness [140 (90, 180) μg] (P < 0.0001)
(Supplementary Fig. 2). iEResI =
ΔHb 0−12(g∕dL) × body weight (kg)
Total dose of DA during 12 weeks (휇g). Statistical analysis Baseline characteristics are reported as means ± stand-
ard deviation (SD), median [interquartile range (IQR)], or
number (percentage). The Wilcoxon rank sum test was used
to compare two groups. As regards the predictors of initial
response to DA, the association of iEResI with the num-
ber of DA administration and total doses of DA was firstly
investigated. Statistical analysis Furthermore, contributing factors to iEResI Multivariate analysis showed that male gender, hypo-
glycemic agent use, iron supplementation, not serum fer-
ritin or TSAT level, and high eGFR were independently and
significantly associated with better initial response to DA
(P = < 0.0001, 0.0108, < 0.0001, and 0.0476, respectively);
whereas, high Hb, high CRP, high NT-proBNP, and high 1 3 3 Clinical and Experimental Nephrology (2021) 25:110–119 113 Table 1 Baseline characteristics Number of patients Prevalence, SD standard deviation, IQR interquartile range, CKD chronic kidney disease, RAS renin-angiotensin sys-
tem, NT-proBNP aminoterminal pro-brain natriuretic peptide
( Q )
Age years
1695
70 ± 12
Male gender n (%)
–
997 (58.8)
Etiology of CKD
Diabetic nephropathy n (%)
–
467 (27.6)
Chronic glomerulonephritis n (%)
–
381 (22.5)
Nephrosclerosis n (%)
–
398 (23.5)
Polycystic kidney disease n (%)
–
95 (5.6)
Other n (%)
–
354 (20.9)
Smoking status
Current n (%)
–
183 (10.8)
Ever n (%)
–
617 (36.4)
Diabetes n (%)
–
722 (42.6)
Malignancy (past history) n (%)
–
208 (12.3)
Cardiovascular disease
Coronary artery disease n (%)
–
268 (15.8)
Heart failure n (%)
–
118 (7.0)
Stroke n (%)
–
198 (11.7)
Peripheral artery disease n (%)
–
187 (11.0)
RAS inhibitor use
Angiotensin II receptor blocker n (%)
–
972 (57.3)
Angiotensin converting enzyme inhibitor n (%)
–
179 (10.6)
Hypoglycemic agent use
Dipeptidyl peptidase-4 inhibitor n (%)
–
362 (21.4)
Insulin n (%)
–
193 (11.4)
Iron supplementation n (%)
–
252 (14.9)
Body mass index (kg/m2)
1552
23.2 ± 4.0
Systolic arterial pressure (mmHg)
1603
134.3 ± 19.0
Diastolic arterial pressure (mmHg)
1601
71.3 ± 12.3
Creatinine (mg/dl)
1695
2.62 (1.89, 3.61)
Estimated glomerular filtration rate (ml/min/1.73m2)
1695
18.0 (12.9, 25.3)
Hemoglobin (g/dl)
1695
9.8 ± 0.9
Albumin (g/dl)
1652
3.7 ± 0.5
Ferritin (ng/ml)
1644
96.4 (46.4, 175.0)
Transferrin saturation (%)
1645
26.2 (20.6, 31.9)
High sensitive C-reactive protein (ng/dl)
1649
575 (219, 1810)
Folic acid (ng/ml)
1604
7.2 (5.5, 9.8)
Vitamin B12 (pg/ml)
1578
354 (258, 498)
NT-proBNP* (pg/ml)
1648
516.0 (238.5, 1160.0)
HbA1c (%)
1012
6.1 ± 0.9
Urinary protein-creatinine ratio (g/gCr)
1526
1.4 (0.5, 3.1) SD standard deviation, IQR interquartile range, CKD chronic kidney disease, RAS renin-angiotensin sys-
tem, NT-proBNP aminoterminal pro-brain natriuretic peptide Discussion urinary PCR levels were significantly associated with poor
initial response to DA (P = < 0.0001, 0.0004, 0.0435, and
0.0009, respectively) (Table 3). urinary PCR levels were significantly associated with poor
initial response to DA (P = < 0.0001, 0.0004, 0.0435, and
0.0009, respectively) (Table 3). ESA hyporesponsiveness is a strong predictor of mortality
and CVD events as well as poor renal survival in patients
with CKD [16, 17, 21–25]. Although the definition of ESA
hyporesponsiveness has been suggested in previous clinical 1 3 Clinical and Experimental Nephrology (2021) 25:110–119 114 1 2 3 4 5 6 7 8
Number of DA administraon during 12 weeks
Frequency
600
400
200
0 1 2 3 4 5 6 7 8
Number of DA administraon during 12 weeks
Frequency
600
400
200
0
Fig. 2 Number of DA administration during 12 weeks after DA ini-
tiation. DA darbepoetin alfa the DA dose used was quite different from those used in
our clinical practice setting in Japan [15, 25]. Therefore,
extrapolating this definition into clinical practice in Japan
seems difficult. In this context, an evidence-based index of
ESA hyporesponsiveness and clinical guidelines for anemia
management in CKD patients with ESA hyporesponsiveness
should be established in Japan. In the current analysis, 225 patients (13.3%) showed no
increase or even had decreased Hb level at 12 weeks after
DA administration. This prevalence was similar to those
reported in previous studies regardless of different defini-
tions of ESA hyporesponsiveness adopted [29, 30]. Fur-
thermore, the new index of initial responsiveness to DA
(iEResI) was defined. Male gender, hypoglycemic agent
use, iron supplementation, and high eGFR were positively
associated with iEResI; whereas, high Hb, high CRP, high
NT-proBNP levels, and high urinary PCR were negatively
associated with iEResI. Previous studies have already shown
that iron deficiency, decreased renal function, and inflam-
mation were strong predictors for ESA hyporesponsiveness;
however, reports regarding the association between gender
difference or hypoglycemic agent use (proxy for diabetes)
and ESA hyporesponsiveness are conflicting [23, 24, 29,
31]. In our study, iron supplementation, not serum ferritin
or TSAT level, was associated with iEResI on the univari-
ate and multivariate analysis. As shown in Supplementary
Fig. 1, the prevalence of study subjects with iron deficiency
(e.g., serum ferritin < 50 μg and TSAT < 20%) seems to be
lower than that previously reported in dialysis-dependent Fig. Discussion 2 Number of DA administration during 12 weeks after DA ini-
tiation. DA darbepoetin alfa guidelines for the treatment of anemia in patients with CKD,
they were defined arbitrarily and were not associated with
any outcomes [26, 27]. Only the Kidney Disease: Improv-
ing Global Outcomes (KDIGO) anemia guideline published
in 2012 defined ESA hyporesponsiveness as “patients who
have no increased Hb concentration from baseline after the
first month of ESA treatment on appropriate weight-based
dose [28]. This definition was based on the secondary analy-
sis of the TREAT study, which revealed that diabetic pre-
dialysis CKD patients with initial hyporesponsiveness to
DA had poor cardiovascular outcome [17]. However, in the
TREAT study, nearly half of study subjects had CVD and 1 2 3 4 5 6 7 8 overall
Number of DA administraon during 12weeks
(
s
k
e
e
w
2
1
g
nir
u
d
e
s
o
d
A
D
la
t
o
T
μg)
Hemoglobin change during 12 weeks (g/dl)
1000
800
600
400
200
0
7
6
5
4
3
2
1
0
-1
-2
-3
-4
1 2 3 4 5 6 7 8 overall
Number of DA administraon during 12weeks
Fig. 3 Total DA dose and hemoglobin change during 12 weeks after DA initiation stratified by the number of DA administration. DA darbepo-
etin alfa 1 2 3 4 5 6 7 8 overall
Number of DA administraon during 12weeks
(
s
k
e
e
w
2
1
g
nir
u
d
e
s
o
d
A
D
la
t
o
T
μg)
1000
800
600
400
200
0 Hemoglobin change during 12 weeks (g/dl)
7
6
5
4
3
2
1
0
-1
-2
-3
-4
1 2 3 4 5 6 7 8 overall Number of DA administraon during 12weeks Number of DA administraon during 12weeks Fig. 3 Total DA dose and hemoglobin change during 12 weeks after DA initiation stratified by the number of DA administration. DA darbepo-
etin alfa Fig. 3 Total DA dose and hemoglobin change during 12 weeks after DA initiation stratified by the number of DA administration. DA darbepo-
etin alfa Fig. 3 Total DA dose and hemoglobin change during 12 weeks after DA initiation stratified by the number of DA administration. Discussion DA darbepo-
etin alfa Clinical and Experimental Nephrology (2021) 25:110–119 Clinical and Experimental Nephrology (2021) 25:110–119 Clinical and Experimental Nephrology (2021) 25:110–119 115 Table 2 iEResI stratified by
cumulative DA doses and
number of DA administration
Cumulative DA dose
Number of DA
administration
Number of
patients
Mean
Standard deviation
≤ 90 μg
1
54
1.4120
2.6105
2
135
0.5363
1.1022
3
293
0.6012
0.6158
4
10
1.0538
0.5824
5
1
0.9949
–
6
3
0.7087
0.1833
Overall
496
0.6823
1.1659
> 90 μg and ≤ 120 μg
1
4
0.4073
0.3080
2
31
0.4675
0.4046
3
125
0.4212
0.5637
4
80
0.6923
0.4602
5
6
0.7412
0.5405
6
7
1.2840
0.5611
Overall
253
0.5438
0.5369
> 120 μg and ≤ 180 μg
1
1
0.7467
–
2
10
0.3996
0.4987
3
142
0.4237
0.3584
4
95
0.5354
0.3770
5
96
0.7171
0.3853
6
130
0.6380
0.3328
7
1
0.6204
–
Overall
475
0.5645
0.3794
> 180 μg
1
0
–
–
2
16
0.2714
0.2156
3
48
0.3005
0.2492
4
60
0.3238
0.3194
5
40
0.3780
0.3925
6
99
0.3343
0.2603
7
6
0.3473
0.2317
8
1
0.7055
–
Overall
270
0.3304
0.2917 CKD patients [32], which might make difficult to show sig-
nificant and apparent relationship between these parameters
of iron status and iEResI. The association between male
gender and better initial responsiveness to DA may be a
mathematical artifact. Namely, DA is administered through
prefilled syringe at a dose of 15, 30, 40, 60, 120, or 180 μg
for pre-dialysis CKD patients in Japan, not according to the
body weight-adjusted dose for each patient. As the iEResI
adopted in this study had a figure of “body weight” in the
numerator, the iEResI value may be relatively higher in
men than in women. Some studies reported that diabetes
or insulin resistance was associated with ESA hyporespon-
siveness in pre-dialysis CKD patients [29, 33]; whereas,
others did not show any association between diabetes and
ESA hyporesponsiveness in dialysis patients [23, 31]. In
this study, patients with hypoglycemic agents use had higher prevalence of dyslipidemia than those without hypoglycemic
agent use (67.6% vs. 49.7%; P < 0.0001). Statin use has also
been reported to improve ESA responsiveness in dialysis
and pre-dialysis CKD patients due to its anti-inflammatory
effect [34, 35]. Although the prevalence of statin use was
not obtained in this study, such a confounding factor may
affect this association. Discussion 2
1
0
-1
-2
1 2 3 4 5 6
90<DA≤120μg
1
0.5
0
-0.5
-1.0
2 3 4 5 6 7 8
DA>180μg
iEResI
iEResI
P<0.0001
P=0.2308
Number of DA administraon during 12 weeks
Number of DA administraon during 12 weeks
the total DA dose and even lower in the total DA dose of > 180 μg. DA Darbepoetin alfa, iEResI initial response index to erythropoiesis-
stimulating agents. Note: The scale of vertical axes in each graph is
not unified. 1 2 3 4 5 6
DA≤90μg
15
10
5
0
-5
Number of DA administraon during 12 weeks
iEResI
P=0.0062 2
1
0
-1
-2
1 2 3 4 5 6
90<DA≤120μg
iEResI
P<0.0001
Number of DA administraon during 12 weeks iEResI Number of DA administraon during 12 weeks Number of DA administraon during 12 weeks Number of DA administraon during 12 weeks 1
0.5
0
-0.5
-1.0
2 3 4 5 6 7 8
DA>180μg
iEResI
P=0.2308
Number of DA administraon during 12 weeks 1 2 3 4 5 6 7
2
1
0
-1
120<DA≤180μg
iEResI
P<0.0001
Number of DA administraon during 12 weeks 1 iEResI Number of DA administraon during 12 weeks Number of DA administraon during 12 weeks Fig. 4 Association between iEResI and the number of DA administra-
tion stratified by the total DA dose until 12 weeks. iEResI increased
with the number of DA administration, especially in the total DA
dose between 90 μg and 180 μg; whereas, it was not associated with Fig. 4 Association between iEResI and the number of DA administra-
tion stratified by the total DA dose until 12 weeks. iEResI increased
with the number of DA administration, especially in the total DA
dose between 90 μg and 180 μg; whereas, it was not associated with the total DA dose and even lower in the total DA dose of > 180 μg. DA Darbepoetin alfa, iEResI initial response index to erythropoiesis-
stimulating agents. Note: The scale of vertical axes in each graph is
not unified. associated with the iEResI. As the aforementioned study
showed that patients with history of heart failure not of coro-
nary artery disease showed ESA hyporesponsiveness [23],
history of CVD which has been usually used for adjustment
of confounders in previous studies has a crucial week point,
which means that the history of CVD can not represent the
severity of CVD. Discussion Our results also showed that high
urinary PCR was associated with ESA hyporesponsiveness,
which is consistent with a previous report [24]. Although the
exact mechanism by which proteinuria could affect the ESA
responsiveness has not been clarified, proteinuria is a proxy
for inflammation or histological damage of the kidney and
for progressive kidney function decline which could affect
endogenous erythropoietin production or response to ESA. Of interest, history of CVD was not associated with the
iEResI in our study; whereas, NT-proBNP was significantly 1 3 Clinical and Experimental Nephrology (2021) 25:110–119 116 1 2 3 4 5 6
DA≤90μg
15
10
5
0
-5
1 2 3 4 5 6 7
2
1
0
-1
120<DA≤180μg
2
1
0
-1
-2
1 2 3 4 5 6
90<DA≤120μg
1
0.5
0
-0.5
-1.0
2 3 4 5 6 7 8
DA>180μg
Number of DA administraon during 12 weeks
iEResI
iEResI
iEResI
iEResI
P=0.0062
P<0.0001
P<0.0001
P=0.2308
Number of DA administraon during 12 weeks
Number of DA administraon during 12 weeks
Number of DA administraon during 12 weeks
Fig. 4 Association between iEResI and the number of DA administra-
tion stratified by the total DA dose until 12 weeks. iEResI increased
with the number of DA administration, especially in the total DA
dose between 90 μg and 180 μg; whereas, it was not associated with
the total DA dose and even lower in the total DA dose of > 180 μg. DA Darbepoetin alfa, iEResI initial response index to erythropoiesis-
stimulating agents. Note: The scale of vertical axes in each graph is
not unified. 4 5 6
4 5 6 7
2
1
0
-1
-2
1 2 3 4 5 6
90<DA≤120μg
1
0.5
0
-0.5
-1.0
2 3 4 5 6 7 8
DA>180μg
nistraon during 12 weeks
iEResI
iEResI
P=0.0062
P<0.0001
P<0.0001
P=0.2308
Number of DA administraon during 12 weeks
nistraon during 12 weeks
Number of DA administraon during 12 weeks
e number of DA administra-
12 weeks. iEResI increased
especially in the total DA
s, it was not associated with
the total DA dose and even lower in the total DA dose of > 180 μg. DA Darbepoetin alfa, iEResI initial response index to erythropoiesis-
stimulating agents. Note: The scale of vertical axes in each graph is
not unified. Discussion On the other hand, BNP or NT-proBNP
can represent the severity of CVD. Patients with severe
CVD usually have more serious inflammation, or take more
medication, which could be associated with anemia or poor
response to ESA, compared to those with less severe CVD. Thus, we think that it is quite reasonable that NT-proBNP,
not the history of CVD, was associated with the respon-
siveness to DA. Low Hb level before ESA treatment was
reported as a predictor of ESA hyporesponsiveness [23, 29]
because it means the presence of comorbidity or inflamma-
tion that could be directly associated with ESA hyporespon-
siveness. Our study result showing the opposite association
may be interpreted as patients with higher Hb level before
DA initiation may be less dependent on erythropoietin. Age, malnutrition, and RAS inhibitor were also reported as pre-
dictive factors of ESA hyporesponsiveness [29, 36]; how-
ever, this study did not show any association between these
factors and iEResI, although precise nutritional assessment
other than serum albumin level was not performed for the
BRIGHTEN. Although the BRIGHTEN is nationwide prospective
study that can closely monitor patients, several limita-
tions should be considered. This study aimed to examine
the initial responsiveness to DA in principally ESA-naïve
patients. As ESA responsiveness is likely to change over
time, 12 weeks may be relatively short to evaluate ESA
responsiveness. As it is an observational study conducted
in a real-world clinical setting, the dose and frequency
of DA administration were not unified because they
were determined based on the physician’s discretion and
patients’ preference, which may affect the iEResI. Discussion Further-
more, there were many missing data about iron supple-
mentation (type of agents, dose, and route of administra-
tion), so we could not analyze the relationship between the 1 3 3 Clinical and Experimental Nephrology (2021) 25:110–119 Clinical and Experimental Nephrology (2021) 25:110–119 117 CKD chronic kidney disease, RAS renin-angiotensin system, NT-proBNP aminoterminal pro-brain natriu-
retic peptide
a Adjusted by gender as a factor
Univariatea
Multivariateb
Variables
β coefficient
P value
β coefficient
P value
Age
− 0.003
0.1187
Male gender (reference, female)
0.165
< 0.0001
0.234
< 0.0001
Etiology of CKD
0.9418
Diabetic nephropathy
0.030
Chronic glomerulonephritis
0.051
Nephrosclerosis
0.015
Polycystic kidney disease
− 0.030
Smoking status, never (reference, current)
− 0.107
0.2969
Diabetes, yes (reference, no)
0.082
0.0396
Past history of malignancy, yes (reference, no)
− 0.097
0.1032
Cardiovascular disease (reference, no)
Coronary artery disease, yes
0.043
0.4191
Heart failure, yes
− 0.007
0.9228
Stroke, yes
− 0.003
0.9543
Peripheral artery disease, yes
0.019
0.7633
RAS inhibitor use, yes (reference, no)
− 0.016
0.7340
Hypoglycemic agent use, yes (reference, no)
0.085
0.0415
0.112
0.0108
Iron supplementation, yes (reference, no)
0.223
< 0.0001
0.240
< 0.0001
Body mass index
0.003
0.4960
Systolic arterial pressure
− 0.001
0.2430
Diastolic arterial pressure
0.001
0.4385
Log (Estimated glomerular filtration rate)
0.133
0.0014
0.095
0.0476
Hemoglobin
− 0.111
< 0.0001
− 0.123
< 0.0001
Albumin
− 0.017
0.6501
Log (Ferritin)
0.014
0.5018
Log (Transferrin saturation)
− 0.090
0.0703
Log (C-reactive protein)
− 0.031
0.0198
− 0.048
0.0004
Log (Folic acid)
0.005
0.9112
Log (Vitamin B12)
-0.008
0.8511
Log (NT-proBNP)
− 0.039
0.0189
− 0.039
0.0435
HbA1c
0.046
0.1418
Log (Urinary protein–creatinine ratio)
− 0.051
0.0005
− 0.053
0.0009 Table 3 Predictors associated
with iEResI proteinuria were independently and significantly associated
with better initial response to DA. In future analyses, we are
planning to investigate the association between the iEResI
as well as other ERIs and patient outcomes. dose of iron supplementation and responsiveness to DA. Factors associated with ESA hyporesponsiveness could
highly depend on patient characteristics studied, comorbid
disease, and treatment for anemia itself (e.g., ESA dose);
thus, our results could not be extrapolated to CKD patients
in Western countries and to those undergoing chronic dial-
ysis treatment. Acknowledgements We would like to express our deepest gratitude
to the patients, as well as the investigators and staff at the study sites
(presented in the appendix) for their contribution to the study. Compliance with ethical standards Conflict of interest This trial is funded by KKC. The KKC proposed
the concept of this trial and provided information, but do not take any
part in collecting, analyzing, or interpreting the results. The Transla-
tional Research Center for Medical Innovation, a third-party organiza-
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cardiovascular events in patients with elevated serum creatinine. J Am Soc Nephrol. 2006;17:2293–8. 5. Pisoni RL, Bragg-Gresham JL, Young EW, et al. Anemia man-
agement and outcomes from 12 countries in the Dialysis Out-
comes and Practice Patterns Study (DOPPS). Am J Kidney Dis. 2004;44:94–111.f 23. López-Gómez JM, Portolés JM, Aljama P. Factors that conditon
the responce to erythropoietin in patients on hemodialysis and
their relation to mortality. Kidney Int. 2008;74(Suppl):S75–81. 24. Minutolo R, Conte G, Cianciaruso B, et al. Hyporespon-
siveness to erythropoiesis-stimulating agents and renal sur-
vival in non-dialysis CKD patients. Nephrol Dial Transplant. 2012;27:2880–6. 6. Hayashi T, Suzuki A, Shoji T, et al. Cardiovascular effect of nor-
malizing the hematocrit level during erythropoietin therapy in
predialysis patients with chronic renal failure. Am J Kidney Dis. 2000;35:250–6.f 25. Tanaka T, Nangaku M, Imai E, et al. Safety and effectiveness of
long-term use of darbepoetin alfa in non-dialysis patients with
chronic kidney disease: a post-marketing surveillance study in
Japan. Clin Exp Nephrol. 2019;23:231–43. 7. Ofsthun N, Labrecque J, Lacson E, et al. The effects of higher
hemoglobin levels on mortality and hospitalization in hemodi-
alysis patients. Kidney Int. 2003;63:1908–14. 8. De Nicola L, Conte G, Chiodini P, et al. Compliance with ethical standards Rationale and design
of observational clinical research in chronic kidney disease
patients with renal anemia: renal prognosis in patients with
hyporesponsive anemia to erythropoiesis-stimulating agents,
darbepoetin alfa (BRIGHTEN Trial). Clin Exp Nephrol. 2018;22:78–84. Discussion In conclusion, in the current analysis of the BRIGHTEN,
13.3% of patients showed no increase or even decreased Hb
level at 12 weeks after DA administration. Furthermore,
male gender, hypoglycemic agent use, iron supplementation,
high eGFR, low Hb, low CRP, low NT-proBNP, and low Funding The authors reported the following financial supports:
Masaomi Nangaku received honoraria, manuscript fees, and subsi-
dies or donations from Kyowa Kirin Co. Ltd. (KKC). Takashi Wada
received honoraria and subsidies or donations from KKC. Terumasa 1 3 Clinical and Experimental Nephrology (2021) 25:110–119 118 patients with chronic kidney disease. Clin J Am Soc Nephrol. 2007;2:938–46. Hayashi received honoraria from KKC. Takao Masaki received hono-
raria and subsidies or donations from KKC. Hiroyasu Yamamoto
received honoraria and manuscript fees from KKC. Hiroki Hase
received honoraria from KKC. Masahiro Kamouchi received travel
fees, gifts, and others from KKC. Tadao Akizawa is in Employment/
Leadership position/Advisory role in KKC and received honoraria and
manuscript fees from KKC. Yoshiharu Tsubakihara received honoraria
from KKC. Shoichi Maruyama received honoraria and subsidies or
donations from KKC. Ichiei Narita received honoraria and subsidies
or donations from KKC. 9. Kuriyama S, Tomonari H, Yoshida H, et al. Reversal of anemia
by erythropoietin therapy retards the progression of chronic
renal failure, especially in nondiabetic patients. Nephron. 1997;77:176–85. 10. Tsubakihara Y, Gejyo F, Nishi S, et al. High target hemoglobin
with erythropoiesis-stimulating agents has advantages in the renal
function of non-dialysis chronic kidney disease patients. Ther
Apher Dial. 2012;16:529–40. 11. Revicki DA, Brown RE, Feeny DH, et al. Health-related quality
of life associated with recombinant human erythropoietin therapy
for predialysis chronic renal disease patients. Am J Kidney Dis. 1995;25:548–54. References Stability of target
hemoglobin levels during the first year of epoetin treatment in 26. Locatelli F, Aljama P, Bárány P, et al. Revised European best prac-
tice guidelines for the management of anaemia in patients with 1 3 Clinical and Experimental Nephrology (2021) 25:110–119 119 chronic renal failure. Nephrol Dial Transplant. 2004;19(Suppl
2):ii1–47. 33. Abe M, Okada K, Soma M, et al. Relationship between insulin
resistance and erythropoietin responsiveness in hemodialysis
patients. Clin Nephrol. 2011;75:49–58. )
27. KDOQI. KDOQI Clinical Practice Guideline and Clinical Practice
Recommendations for anemia in chronic kidney disease: 2007
update of hemoglobin target. Am J Kidney Dis. 2007;50:471–530. 34. Sirken G, Kung SC, Raja R. Decreased erythropoietin require-
ments in maintenance hemodialysis patients with statin therapy. ASAIO J. 2003;49:422–5. p
g
g
y
28. Kidney disease: improving global outcomes (KDIGO) Anemia
Work Group. KDIGO clinical practice guideline for anemia in
chronic kidney disease. Kidney Int. 2012;2(Suppl):S279–335. 35. Chiang CK, Yang SY, Peng YS, et al. Atorvastatin increases eryth-
ropoietin-stimulating agent hyporesponsiveness in maintenance
hemodialysis patients: role of anti-inflammation effects. Am J
Nephrol. 2009;29:392–7. 29. Rossert J, Gassmann-Mayer C, Frei D, et al. Prevalence and pre-
dictors of epoetin hyporesponsiveness in chronic kidney disease
patients. Nephrol Dial Transplant. 2007;22:794–800. 36. Kanbay M, Perazella MA, Kasapoglu B, et al. Erythropoiesis
stimulatory agent-resistant anemia in dialysis patients: review of
causes and management. Blood Purif. 2010;29:1–12. 30. Besarab A, Yee J. Candidate biomarkers for erythropoietin
response in end-stage renal disease. Kidney Int. 2011;79:488–90. 31. Ifudu O, Uribarri J, Rajwani I, et al. Gender modulates respon-
siveness to recombinant erythropoietin. Am J Kidney Dis. 2001;38:518–22. 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. 32. Nakai S, Hanafusa N, Masakane I, et al. An overview of regular
dialysis treatment in Japan (as of 31 December 2012). Ther Apher
Dial. 2014;6:535–602. Affiliations Terumasa Hayashi1 · Hideki Kato2 · Kenichiro Tanabe3 · Masaomi Nangaku2 · Hideki Hirakata4 ·
Takashi Wada5 · Hiroshi Sato6 · Yasushi Yamazaki7 · Takao Masaki8 · Tatsuo Kagimura3 · Hiroyasu Yamamoto9 ·
Hiroki Hase10 · Masahiro Kamouchi11 · Enyu Imai12 · Kyoichi Mizuno13 · Manabu Iwasaki14 · Tadao Akizawa15 ·
Yoshiharu Tsubakihara16 · Shoichi Maruyama17 · Ichiei Narita18 Terumasa Hayashi1 · Hideki Kato2 · Kenichiro Tanabe3 · Masaomi Nangaku2 · Hideki Hirakata4 ·
Takashi Wada5 · Hiroshi Sato6 · Yasushi Yamazaki7 · Takao Masaki8 · Tatsuo Kagimura3 · Hiroyasu Yamamoto9 ·
Hiroki Hase10 · Masahiro Kamouchi11 · Enyu Imai12 · Kyoichi Mizuno13 · Manabu Iwasaki14 · Tadao Akizawa15 ·
Yoshiharu Tsubakihara16 · Shoichi Maruyama17 · Ichiei Narita18 10 Division of Nephrology, Toho University Ohashi Medical
Center, Tokyo, Japan 1
Department of Kidney Disease and Hypertension, Osaka
General Medical Center, Osaka, Japan 1
Department of Kidney Disease and Hypertension, Osaka
General Medical Center, Osaka, Japan 1
Department of Kidney Disease and Hypertension, Osaka
General Medical Center, Osaka, Japan
2
Division of Nephrology and Endocrinology, The University
of Tokyo Graduate School of Medicine, Tokyo, Japan
3
Translational Research Center for Medical Innovation, Kobe,
Japan
4
Fukuoka Renal Clinic, Fukuoka, Japan
5
Department of Nephrology and Laboratory Medicine,
Faculty of Medicine, Institute of Medical, Pharmaceutical
and Health Sciences, Kanazawa University, Kanazawa, Japan
6
Division of Clinical Pharmacology and Therapeutics, Tohoku
University Graduate School of Pharmaceutical Sciences
and Faculty of Pharmaceutical Sciences, Sendai, Japan
7
Department of Nephrology and Rheumatology, Kagawa
Prefectural Central Hospital, Takamatsu, Japan
8
Department of Nephrology, Hiroshima University Hospital,
Hiroshima, Japan
9
Division of Nephrology and Hypertension, Department
of Internal Medicine, The Jikei University School
of Medicine, Tokyo, Japan 2
Division of Nephrology and Endocrinology, The University
of Tokyo Graduate School of Medicine, Tokyo, Japan 11 Department of Health Care Administration and Management,
Graduate School of Medical Sciences, Kyushu University,
Fukuoka, Japan 3
Translational Research Center for Medical Innovation, Kobe,
Japan 12 Nakayamadera Imai Clinic, Takarazuka, Japan 12 Nakayamadera Imai Clinic, Takarazuka, Japan 4
Fukuoka Renal Clinic, Fukuoka, Japan 13 Mitsukoshi Health and Welfare Foundation, Tokyo, Japan 4
Fukuoka Renal Clinic, Fukuoka, Japan 13 Mitsukoshi Health and Welfare Foundation, Tokyo, Japan 14 School of Data Science, Yokohama City University,
Yokohama, Japan 14 School of Data Science, Yokohama City University,
Yokohama, Japan 5
Department of Nephrology and Laboratory Medicine,
Faculty of Medicine, Institute of Medical, Pharmaceutical
and Health Sciences, Kanazawa University, Kanazawa, Japan 15 Division of Nephrology, Department of Medicine, Showa
University School of Medicine, Tokyo, Japan 15 Division of Nephrology, Department of Medicine, Showa
University School of Medicine, Tokyo, Japan 6
Division of Clinical Pharmacology and Therapeutics, Tohoku
University Graduate School of Pharmaceutical Sciences
and Faculty of Pharmaceutical Sciences, Sendai, Japan 16 Course of Safety Management in Health Care Sciences,
Graduate School of Health Care Sciences, Jikei Institute,
Osaka, Japan 7
Department of Nephrology and Rheumatology, Kagawa
Prefectural Central Hospital, Takamatsu, Japan 17 Department of Nephrology, Nagoya University Graduate
School of Medicine, Nagoya, Japan 17 Department of Nephrology, Nagoya University Graduate
School of Medicine, Nagoya, Japan 8
Department of Nephrology, Hiroshima University Hospital,
Hiroshima, Japan 18 Division of Clinical Nephrology and Rheumatology, Niigata
University Graduate School of Medical and Dental Sciences,
757 Ichibancho Asahimachidori Chuo‑ku, Niigata 951‑8510,
Japan 9
Division of Nephrology and Hypertension, Department
of Internal Medicine, The Jikei University School
of Medicine, Tokyo, Japan 1 1 3 3
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Multiple Protein Biomarker Assessment for Recombinant Bovine Somatotropin (rbST) Abuse in Cattle
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PloS one
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Abstract 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: susann.ludwig@wur.nl * E-mail: susann.ludwig@wur.nl Abstract Biomarker profiling, as a rapid screening approach for detection of hormone abuse, requires well selected candidate
biomarkers and a thorough in vivo biomarker evaluation as previously done for detection of growth hormone doping in
athletes. The bovine equivalent of growth hormone, called recombinant bovine somatotropin (rbST) is (il)legally
administered to enhance milk production in dairy cows. In this study, first a generic sample pre-treatment and 4-plex flow
cytometric immunoassay (FCIA) were developed for simultaneous measurement of four candidate biomarkers selected from
literature: insulin-like growth factor 1 (IGF-1), its binding protein 2 (IGFBP2), osteocalcin and endogenously produced
antibodies against rbST. Next, bovine serum samples from two extensive controlled rbST animal treatment studies were
used for in vivo validation and biomarker evaluation. Finally, advanced statistic tools were tested for the assessment of
biomarker combination quality aiming to correctly identify rbST-treated animals. The statistical prediction tool k-nearest
neighbours using a combination of the biomarkers osteocalcin and endogenously produced antibodies against rbST proved
to be very reliable and correctly predicted 95% of the treated samples starting from the second rbST injection until the end
of the treatment period and even thereafter. With the same biomarker combination, only 12% of untreated animals
appeared false-positive. This reliability meets the requirements of Commission Decision 2002/657/EC for screening methods
in veterinary control. From the results of this multidisciplinary study, it is concluded that the osteocalcin – anti-rbST-
antibodies combination represent fit-for-purpose biomarkers for screening of rbST abuse in dairy cattle and can be reliably
measured in both the developed 4-plex FCIA as well as in a cost-effective 2-plex microsphere-based binding assay. This
screening method can be incorporated in routine veterinary monitoring programmes: in the European Union for detection
of rbST abuse and in the control of rbST-free dairy farms in the United States of America and other countries. Smits NGE, van der Veer G, Bremer MGEG, Nielen MWF (2012) Multiple Protein Biomarker Assessment for Recombinant Bovine
se in Cattle. PLoS ONE 7(12): e52917. doi:10.1371/journal.pone.0052917 Received May 25, 2012; Accepted November 22, 2012; Published December 27, 2012 Copyright: 2012 Ludwig 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 project was financially supported by the Dutch Ministry of Economic Affairs, Agriculture and Innovation (http://www.rijksoverheid.nl/ministeries/
eleni project 72029.01). Susann K. J. Ludwig1*, Nathalie G. E. Smits1, Grishja van der Veer1, Maria G. E. G. Bremer1,
Michel W. F. Nielen1,2 Susann K. J. Ludwig1*, Nathalie G. E. Smits1, Grishja van der Veer1, Maria G. E. G. Bremer1,
Michel W. F. Nielen1,2 1 RIKILT-Institute of Food Safety, Wageningen UR, Wageningen, The Netherlands, 2 Laboratory of Organic Chemistry, Wageningen University, Wageningen, The
Netherlands y, Wageningen UR, Wageningen, The Netherlands, 2 Laboratory of Organic Chemistry, Wageningen University, Wageningen, Th LT-Institute of Food Safety, Wageningen UR, Wageningen, The Netherlands, 2 Laboratory of Organic Chemistry, Wageningen U
rlands Editor: John Matthew Koomen, Moffitt Cancer Center, United States of America Biomarker Assessment for rbST Abuse Detection Biomarker Assessment for rbST Abuse Detection methods, suffer from the short half-life of rbST. Although biweekly
injections containing slow-release formulations are used to prolong
the presence of rbST in the cows’ body, the protein levels in
treated animals cannot be distinguished from the background level
throughout the whole two-week inter-injection period and large
inter-individual differences in blood rbST levels were reported
[19,20,24–27]. Furthermore,
rbST
immunoassays
were
not
capable to distinguish the almost identical recombinant and
endogenous forms of bST [19,20,24,25] and mass spectrometry-
based methods on the other hand required very tedious sample
preparation procedures [26,27]. For screening of rbST in cattle, a
few biomarker-based methods were developed, but focused on a
single candidate biomarker only [4,9,28–30]. In a recent study,
three candidate biomarkers were combined in one screening tool,
but the ,5% false-compliant rate target could not be achieved
[31]. Nevertheless, biomarker-based screening for rbST can be
considered a very promising start for detecting rbST abuse in dairy
cows. the inhibition format, high sample biomarker concentrations yield
low fluorescence signals and vice versa. For the anti-rbST-
antibodies, a direct assay format with an rbST-coupled colour-
encoded microsphere set was used, where the anti-rbST-antibod-
ies bind and can be detected by fluorescently labelled anti-bovine
detection antibodies. Here, a high biomarker level leads to a high
fluorescence signal. With this 4-plex FCIA, biomarker profiles
were measured in serum samples. Based on the biomarker profiles
of 67 untreated animals from different origins, we assessed the
inter-individual and physiological variability of these biomarkers
within dairy cattle and determined decision limits, beyond which a
sample could be classified rbST-treated. Then, we used a large set
of serum samples obtained from two independent controlled rbST
animal treatment studies to evaluate the discriminative power of
each candidate biomarker and of all combinations of biomarkers
for distinguishing rbST-treated from untreated cows. Following
thorough statistical evaluations, the value of individual and
multiple biomarkers was assessed for the prediction of rbST abuse
in dairy cows. Biomarkers indicative for ST abuse are described in detail in
literature and several of them are listed and referenced in Table 1. From these, we selected four different candidate biomarkers. These included two biomarkers of the IGF-1 axis, which respond
quickly upon rbST treatment, namely insulin-like growth factor-1
(IGF-1) and IGF binding protein 2 (IGFBP2). Biomarker Assessment for rbST Abuse Detection The other two
biomarkers were expected to show a delayed but long-lasting
response; these are osteocalcin (marker of bone turnover) and
antibodies which are endogenously produced against rbST (anti-
rbST-antibodies). The overall aim of the study was the development and
validation of a chemical analytical method for rbST-dependent
biomarker
detection
according
to
European
legislation
for
screening methods [23] and a data analysis approach for
identifying biomarker combinations, which can reliably predict
rbST abuse. This aim was reached with the help of a statistical
prediction model based on the biomarker combination endoge-
nously produced antibodies against rbST and osteocalcin. To be able to screen for these four candidate biomarkers in
serum, we developed a 4-plex flow cytometric immunoassay
(FCIA) enabling parallel biomarker analysis in a single sample. For
IGF-1, IGFBP2 and osteocalcin, a competitive inhibition assay
format was chosen, where the respective candidate biomarker is
covalently coupled to one set of colour-encoded microspheres. The
different microsphere sets can be discriminated by a red laser
(Figure 1). Biomarker-specific and generic fluorescent secondary
antibodies are used for quantification with a green laser. Due to Introduction Extensive studies were done for the biomarker-based detection
of recombinant somatotropin (ST; or growth hormone, GH) in
sports
doping, where
ST is
abused by athletes
for
their
performance enhancement [14–18]. A similar screening approach
can be chosen for the detection of recombinant bovine ST (rbST)
abuse in dairy cattle, where the hormone is administered for
enhanced milk production [19,20]. The administration to dairy
cattle is approved by the U.S. Food and Drug Administration in
the United States of America and allowed in several other
countries [21]. But treating cows with rbST is forbidden in the
European Union since 1999 because of animal health and welfare
reasons [22]. By European regulation, screening and confirmatory
methods should be available for the detection of (ab)used
veterinary drugs, with for screening, a maximum false-compliant
rate of 5% (ß error) [23]. In contrast to the well-established human
biomarker-based screening approach, the issue of rbST-dependent
biomarker detection is still in its infancy: actually, routine
veterinary control for rbST abuse has not been implemented at
all, despite the EU ban. So far developed methods which detect
rbST directly, such as immunoassays or mass spectrometry-based Many different techniques are available for detection of
hormone abuse in sports doping and veterinary control, which
all have to fulfil the requirements to be reliable, comparably fast
and affordable. Biomarker profiling was suggested as a rapid
screening approach for detection of doping practices because of its
many advantages over the direct detection of the particular abused
substances [1]. Biomarker profiles are indicative for more than one
administered agent as they reflect the physiological effect, hence,
the abuse of unknown compounds can also be detected [1,2]. Furthermore, in many cases, the analysis of biomarker profiles
enables the detection of abused substances for a longer time
period, because the biological effect lasts longer than the abused
substance itself can be detected in the body [3,4]. A lot of work was
focused on the identification of indicative biomarkers and the
development of assays for detection of those [2,5–10]. But the
suitability and discriminative power of each biomarker has to be
evaluated in controlled studies where a treated group is compared
with an untreated one [11–13]. 1 December 2012 | Volume 7 | Issue 12 | e52917 December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org Results and Discussion doi:10.1371/journal.pone.0052917.g001 examined thoroughly and we used the presence of the specific
endogenous antibodies against rbST as a biomarker for its abuse
[4,30,33,34]. Although PIIINP, a marker of collagen turnover, is
known to show potential in human and bovine hormone abuse
detection [10,18], it has not been included into our biomarker
panel yet because of the lack of a suitable commercially available
standard protein and antibody. were calculated by analysis of sera from 67 untreated dairy cows
(see paragraph 9.1 in the materials and methods section). Compared to the number of tested athletes in human studies,
the number of tested control animals may seem to be rather low,
but the variation within the dairy population is expected to be
much lower, because of several reasons: First, only female cows
have to be taken into account. Second, milking only occurs after
first calving (usually at 20–24 months of age), thus after puberty, in
which levels of IGF-1, IGFBP2 and osteocalcin are mainly
changed due to growth and are more stable thereafter [37–39]. Third, since in this region of Europe mainly Frisian Holstein cows
are used for milk production, we focussed on this particular race
for the development of the test. And fourth, we do not need to
consider sick animals, since their milk will not be allowed for
consumption due to the presence of veterinary drug residues and
therefore treatment with rbST is useless for sick dairy cows. Thus,
the overall relative variation expected in dairy cows is anyway
much lower than in athletes, where gender, different ethnicities,
the effect of sports discipline, injury and all age groups need to be
considered. Development of a 4-plex flow cytometric immunoassay
For
the
simultaneous
detection
of
these
four
candidate
biomarkers, we developed a generic sample pre-treatment and
4-plex flow cytometric immunoassay (FCIA). To this end, our
previously reported 3-plex assay [31] was extended with the
biomarker osteocalcin. Adding osteocalcin to the existing triplex
FCIA did not result in major interferences of any of the assay
components of the four combined biomarker assays (data not
shown). IGF-1 and osteocalcin concentrations of tested serum
samples were calculated based on the obtained standard curves in
serum-matched buffer (Figure S1). Results and Discussion The 4-plex FCIA is capable of
determining IGF-1 and osteocalcin concentrations in the relevant
range in serum, namely 64–400 ng mL21 for IGF-1 and 32–
320 ng mL21 for osteocalcin (note that serum samples were
diluted 80-times prior to analysis, thus the standard curves cover
protein concentrations of 0.8–5 ng mL21 for IGF-1 and 0.4–
4 ng mL21 for osteocalcin). For IGFBP2, the standard protein
could not completely inhibit the B0 signal; therefore, we decided to
work with normalized responses (B/B0) for the data analysis. For
the induced anti-rbST-antibodies, we worked with the responses
normalized to a single standard serum (B/Bd). Decision limits were 216 ng mL21 for IGF-1, 0.52 B/B0 for
IGFBP2, 1.62 B/Bd for anti-rbST-antibodies and 160 ng mL21
for osteocalcin and are shown as green horizontal lines in Figure 2. Results of samples exceeding this limit were considered positive. Then, biomarker profiles of the dairy cows from both animal
studies were measured (Figure 2). Results of the cows from animal
study I are shown in dotted lines whereas the results of animal
study II are shown in solid lines. Note that the animals from
animal study I received two additional weekly rbST injections after
the biweekly treatment period (the treatment schedules of both
animal studies are indicated by the black horizontal bars above the
graphs and shown in Figure S2). The generic sample pre-treatment was necessary for releasing
IGF-1 from its binding protein-complex and preventing non-
specific binding in the detection of anti-rbST-antibodies. The
rather harsh pre-treatment protocol did not affect the detection
quality of osteocalcin, thus it could be adopted for the combined 4-
plex FCIA. Note that adding IGF-2 in excess, as done in
commercially available human IGF-1 immunoassays, improved
neither the normalized standard curves nor the detection of
biomarker level differences in between treated and untreated
animals. The developed assay showed high reproducibility for all
measured candidate biomarkers (Table 2) and a comparable
sensitivity to previous single biomarker methods [35,36]. However,
the newly developed 4-plex FCIA has several advantages, such as
the simultaneous measurement of all four markers in one sample
from one well of a microtiter plate, which saves sample material,
work load and time. Additionally, only one washing step was
required compared to an average of six washing steps in a
conventional enzyme-linked immunosorbent assay, making the 4-
plex FCIA much faster and easy-to-use. Results and Discussion Furthermore, only occasionally a value
exceeded the decision limit. Only the results of one cow were
clearly above the decision limit, but these values were observed
already during the adaptation period. In humans and despite large IGFBP2 levels (Figure 2B) are expected to decrease upon rbST
treatment [32,41]. The IGFBP2 assay is of an inhibition format,
thus B/B0 levels are inversely correlated with the concentration. Hence, higher B/B0 levels are expected after rbST treatment. For
some of the rbST-treated cows, a slight increase in B/B0 levels can
be observed after treatment (Figure 2B.1) with a decrease to
baseline before the next treatment. But this pattern is not as
pronounced as for IGF-1. Furthermore, only occasionally a value
exceeded the decision limit. Only the results of one cow were
clearly above the decision limit, but these values were observed
already during the adaptation period. In humans and despite large Results and Discussion For the prediction of rbST abuse in dairy cows, we selected
candidate biomarkers based on information found in literature
(Table 1). These were markers of the IGF-axis (such as IGF-1 and
IGFBP2) and bone markers (such as osteocalcin), known to be
influenced by somatotropin and previously examined by the GH-
2000 group for detecting somatotropin abuse in athletes [13,32]. Furthermore, the immune response of cows treated with rbST was Table 1. Candidate biomarkers for ST abuse and their expected response upon ST treatment in human and cows. Biomarkers
response to ST
described for
reference
Acid labile subunit (ALS)
increase
human
[45]
Anti-rbST-antibodies
increase
bovine
[30,31,33,34]
Apolipoprotein A-1 (APOA1)
decrease
human
[8]
C-terminal cross-linked telopeptide of collagen I
(ICTP)
increase
human
[13,45,46]
C-terminal propeptide of procollagen I (PICP)
increase
human
[13]
Haemoglobin a-chain (HbA1)
increase
human
[6]
IGF binding protein 2 (IGFBP2)
decrease
bovine
[31,47]
IGF binding protein 3 (IGFBP3)
increase
human
[45]
Insulin-like growth factor (IGF-1)
increase
human
[45,46]
Inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4)
decrease
human
[8]
Leucine-rich a-2-glycoprotein (LRG)
increase
human
[9]
N-terminal propeptide of procollagen I (PINP)
increase
human
[12,45]
N-terminal propeptide of procollagen III (PIIINP)
increase
human
[12,13,45,46]
Osteocalcin
increase
human
[12,13]
Transthyretin (TTR)
increase
human
[8]
a-1 antitrypsin (AAT)
increase
human
[8]
doi:10.1371/journal.pone.0052917.t001 biomarkers for ST abuse and their expected response upon ST treatment in human and cows. Table 1. Candidate biomarkers for ST abuse and their expected response upon ST treatment in hu December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org 2 Biomarker Assessment for rbST Abuse Detection PLOS ONE | www plosone org
3
December 2012 | Volume 7 | Issue 12 | e December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org PLOS ONE | www.plosone.org 3 Biomarker Assessment for rbST Abuse Detection Figure 1. Work flow for serum preparation, generic serum pre-treatment and 4-plex FCIA for serum candidate biomarkers. A
detailed description can be found in Materials S1. Abbreviations: h – hour, IGF-1 – insulin-like growth factor 1, IGFBP2 – IGF binding protein 2, GS I –
glycine solution I, GS II glycine solution II, min – minutes, PBST – phosphate-buffered saline with 0.05% (v/v) Tween-20, PBSTB – 0.1% (m/v) BSA in
PBST, PE – phycoerythrin fluorescent label, rbST – recombinant bovine somatotropin, RT – room temperature, sec – seconds. Results and Discussion The whole assay
procedure, starting from a serum sample until the results from
the flow cytometer for all four candidate biomarkers, takes
3.5 hours for a whole 96 well microtiter plate. This demonstrates
that the 4-plex FCIA is a rapid and promising screening tool for
the detection of the four candidate biomarkers in serum. IGF-1 levels were found to be elevated directly after rbST
treatment (Figure 2A.1) and returned back to baseline before the
next treatment. This short response time was observed before in
human studies, where IGF-1 concentrations were back to baseline
one week after termination of somatotropin treatment [32]. Nevertheless, in athletes, IGF-1 stayed elevated throughout the
treatment period. This difference in IGF-1 response to somato-
tropin treatment could be due to the fact, that athletes were
injected daily and, although a slow-release formulation was used in
the here presented study, the biweekly treatment schedule does not
reflect the same situation of permanently present somatotropin in
circulation. IGF-1 levels of untreated animals (Figure 2A.2)
remained below the decision limit. The found IGF-1 concentra-
tions are consistent with previously reported serum IGF-1
concentrations in dairy cows [31,40]. IGF-1 levels were found to be elevated directly after rbST
treatment (Figure 2A.1) and returned back to baseline before the
next treatment. This short response time was observed before in
human studies, where IGF-1 concentrations were back to baseline
one week after termination of somatotropin treatment [32]. Nevertheless, in athletes, IGF-1 stayed elevated throughout the
treatment period. This difference in IGF-1 response to somato-
tropin treatment could be due to the fact, that athletes were
injected daily and, although a slow-release formulation was used in
the here presented study, the biweekly treatment schedule does not
reflect the same situation of permanently present somatotropin in
circulation. IGF-1 levels of untreated animals (Figure 2A.2)
remained below the decision limit. The found IGF-1 concentra-
tions are consistent with previously reported serum IGF-1
concentrations in dairy cows [31,40]. IGFBP2 levels (Figure 2B) are expected to decrease upon rbST
treatment [32,41]. The IGFBP2 assay is of an inhibition format,
thus B/B0 levels are inversely correlated with the concentration. Hence, higher B/B0 levels are expected after rbST treatment. For
some of the rbST-treated cows, a slight increase in B/B0 levels can
be observed after treatment (Figure 2B.1) with a decrease to
baseline before the next treatment. But this pattern is not as
pronounced as for IGF-1. Single candidate biomarker profiles of untreated and of
rbST-treated cows For all of the candidate biomarkers, false-positive
rates were quite low, indicating a high specificity of all of the
biomarkers towards rbST treatment. Nevertheless, none of the
candidate biomarkers reached the targeted 95% true-prediction
(,5% false-compliant) rate at any time point required for a
screening method according to Commission Decision 2002/657/
EC [23]. inter-individual differences, mean IGFBP2 levels responded quite
well upon ST treatment, but the athletes were treated daily on
three subsequent days [32]. B/B0 levels of untreated animals
(Figure 2B.2) remained below the decision limit at almost all times. For the antibodies, endogenously produced by the cow as an
immunological response upon rbST treatment [30], a delayed
increase in signal was observed (Figure 2C.1). Most of the cows
developed antibodies approximately 2 weeks after the first rbST
injection and a maximum in response could be seen around the
third injection (four weeks after start of rbST treatment). Thereafter, the responses declined slowly. Zwickl et al. reported
an increase of antibody formation within the first three months of
rbST treatment and a decline thereafter, but the amount of rbST
administered in their study was much higher than recommended
by the manufacturer and applied here [34]. For the untreated
cows in our studies (Figure 2C.2), only one result was found to be
above the decision limit. For osteocalcin, a slow increase in concentration was observed
after rbST treatment (Figure 2D.1) compared to the untreated
cows where the concentrations remained below the decision limit
at almost all times. A similar effect on osteocalcin levels was
observed in the human GH-2000 study [13]. Osteocalcin
concentrations in our studies increased consistently in the 8 week
treatment period, no gradual decline was observed as for the anti-
rbST-antibodies. A slow osteocalcin decrease was noticed after
rbST withdrawal but values remained above the decision limit for
some of the cows until the end of the animal study. For all of the candidate biomarkers large inter-individual
physiological differences in biomarker levels were apparent as
for example seen in the adaptation period of the treated animals. IGF-1, IGFBP2 and osteocalcin levels differed quite a lot between
individual animals. Biomarker levels are known to be influenced
by many factors such as age and state of lactation. Nevertheless,
the expected variation is much smaller than in athletes tested for
ST abuse as already discussed above. Single candidate biomarker profiles of untreated and of
rbST-treated cows After successful development of the 4-plex flow cytometric
immunoassay, decision limits for each single candidate biomarker December 2012 | Volume 7 | Issue 12 | e52917 December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org 4 Biomarker Assessment for rbST Abuse Detection Table 2. 4-plex FCIA assay performance characteristics for the single candidate biomarkers. Candidate biomarkers
Performance characteristics
IGF-1
IGFBP2
Anti-rbST antibodies
Osteocalcin
IC50
1.5a
9.5a
-
1.1a
Inter-assay variation
15.7b
7.9b
22.3b
17.1b
Intra-assay variation
6.4b
5.7b
9.4b
9.5b
Decision limit
216a
0.52c
1.62d
160a
Stability
The 4-plex FCIA can be performed stably over several months by different staff. Specificity
No unwanted interaction in between the assays (analytes and antibodies) observed. IC50 related to 80-times diluted samples. ain ng mL21. bin %. cof B/B0. d f B/Bd (Figure 3). False-positive rates were calculated from untreated cows
during the whole animal experiment (adaptation period samples
from all cows and all the samples from untreated cows). High true-
positive rates were reached by IGF-1 already at the beginning of
the treatment period. Similar response patterns were observed for
both studies. Only the double injections in study I led to a changed
IGF-1 pattern. Also for the anti-rbST-antibodies, high true-
positive rates of 75% were seen after the second rbST injection. But the response was study-dependent: while the animals from
study I (equal age of 5 years) were found positive after the second
injection until the end of the study period, a gradual decrease of
the number of positively found animals was observed in study II
(age ranged from 2 to 8 years). This could be due to the different
ages of the animals in study II. We saw that the antibody response
tended to be higher in the older animals. Younger animals also
showed antibody response, which declined more quickly than for
the older animals. For osteocalcin, as already seen in Figure 2D.1,
some of the rbST-treated cows did not show osteocalcin
concentrations beyond the decision limit in both studies. The
increase of true-positive found samples at the end of the treatment
period in study I was due to the double rbST injections. As already
expected from the biomarker profiles (Figure 2B.1), IGFBP2 did
not show high true-positive rates, i.e., none of the animals from
study I and only some animals in study II were found above the
decision limit. Single candidate biomarker profiles of untreated and of
rbST-treated cows Note that we accounted for
the variation in our untreated reference population used to assess
the decision limits. Also the response upon rbST treatment
differed in every individual cow. Some cows showed a big increase
in IGF-1 levels short after injection while others did not show any
response above decision limit (non-responders). Also for osteocal-
cin, some cows hardly showed any response after treatment. December 2012 | Volume 7 | Issue 12 | e52917 Statistical multiple biomarker analysis Since the single biomarker analysis and additive biomarker
analysis, which were both based on decision limits, did not deliver
satisfying results for predicting rbST abuse, a different biomarker-
combining approach was chosen for analysis of the data. K-nearest
neighbours (kNN), a statistical prediction tool, was used to build a
model from one group of data (Group A: all animals of animal
study II and untreated animals from animal study I) and predict
the results of Group B (rbST-treated cows of animal study I and 67
independent untreated cows) on basis of the built model. Eleven
different models (one for every possible combination of two to four
biomarkers) were evaluated to find the optimal biomarker
combination for rbST abuse prediction. True-positive rates of
Group B data were calculated for every biomarker combination
over the time of the whole animal study and are shown in Figure 6
(Table S1 shows corresponding data). Six of the eleven different
models yielded true-positive rates above the 95% true-positive rate
required for a screening method at several time points. For the
biomarker combinations IGF-1 - IGFBP2 - anti-rbST-antibodies
(IBA) and IGFBP2 - anti-rbST-antibodies - osteocalcin (BAO),
only one time point within the biweekly treatment period was
above 95%. Note that in total, samples from eleven time points
were obtained and analysed during the biweekly treatment period
of animal study I. For the biomarker combinations IBAO and IA,
four and six time points within the biweekly treatment period were
above the 95% target respectively. Seven time points above the
95% target within the biweekly treatment period were reached by
the prediction models based on the biomarker combinations IAO
and AO. For the three best performing models (IA, AO and IAO),
true-positive rates above 95% (,5% false-compliant) were reached
following the second rbST injection. For IA, a true-prediction rate
of almost 60% was observed already one week after the first rbST
injection, whereas AO only showed 30%, which is in accordance
with expectations since IGF-1 is a quick responding biomarker and
osteocalcin has a delayed response time. Since all of the rbST-
treated cows were detected by the three best performing models
(IA, AO, IAO) at the end of the biweekly treatment period, no
further increased prediction rate was observed due to the
subsequent two weekly injections. Additive biomarker analysis Since no single candidate biomarker was capable of predicting
95% of the rbST-treated samples correctly, we tested different
possibilities of combining biomarker results for improvement of
the predictive power of our 4-plex FCIA. One approach to do this
is the additive biomarker analysis. In Figure 4, the number of
candidate biomarkers responding above decision limit per cow and
per time point within the animal studies is shown. As already
described in paragraph 2 of the results section, there were big
inter-individual differences: some cows responded in many
markers, others only in one or two for some time points. There
were also two extreme cases: one cow responded in all four tested The predictive power of each candidate biomarker was
assessed by calculating true-positive rates for all samples from
rbST-treated cows in their treatment and withdrawal period December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org December 2012 | Volume 7 | Issue 12 | e52917 5 Biomarker Assessment for rbST Ab Biomarker Assessment for rbST Abuse Detection PLOS ONE | www.plosone.org
6
December 2012 | Volume 7 | Issue 12 PLOS ONE | www.plosone.org
6
December 2012 | Volume 7 | Issue 12 | e52917 December 2012 | Volume 7 | Issue 12 | e52917 December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org PLOS ONE | www.plosone.org Biomarker Assessment for rbST Abuse Detection Biomarker Assessment for rbST Abuse Detection Figure 2. Biomarker profiles of rbST-treated (left) and untreated (right) dairy cows. Profiles from animal study I (dotted lines) and animal
study II (solid lines) are shown. Sera from adaption period (3 sera from every cow), treatment period (13 sera per cow from animal study I and 9 sera
per cow from animal study II) and withdrawal period (5 sera per cow from animal study I and 6 sera per cow from animal study II) were measured in
duplicate. Biomarkers shown are concentrations of IGF-1 (A), B/B0 levels of IGFBP2 (B), B/Bd levels of antibodies against rbST (C) and concentrations of
osteocalcin (D). The rbST treatment schedules for both animal studies are indicated by two black horizontal bars and decision limit per biomarker by
the green horizontal line. Note that cows from animal study II received two additional rbST injections after the biweekly treatment period. doi:10.1371/journal.pone.0052917.g002 frequency will not be found in real practice. Additive biomarker analysis Furthermore, also
with the additive biomarker analysis, quite some false-positive
results were obtained throughout the whole study. markers above decision limit at one time point and another rbST-
treated cow did not show any response above decision limit at any
day. On the other hand, there were untreated cows, which showed
positive responses in one of the candidate biomarkers. Figure 5
shows the true-positive rate obtained for the rbST-treated cows of
both animal studies considering a sample positive, when at least
one biomarker reacted above the respective decision limit. Although the true-positive rate obtained with the additive
biomarker analysis was much higher than for the single candidate
biomarkers, the 95% true-positive rate required for a screening
method was only reached at some time points in study I within the
biweekly treatment period. After the double rbST injection in
study I, all of the cows were found positive, but this treatment Statistical multiple biomarker analysis After withdrawal of rbST, the
true-positive rate of the models based on IA, AO and IAO
remained above 95% for two more weeks and then declined to
70% four weeks after withdrawal. Figure 3. Predictive power of each single candidate biomarker
for indicating rbST abuse. True-positive rates were calculated for all
samples from rbST-treated cows in their treatment and withdrawal
periods of study I and II. False-positive rates were calculated for all
samples from untreated cows from the two animal studies (adaptation
period samples from all cows and all the samples from untreated cows). Samples were considered positive if their biomarker value exceeded the
respective decision limit. The treatment schedules of the two controlled
animal studies are indicated by black horizontal bars on top of the
graph. The targeted 95% true-positive (,5% false-compliant) rate
according to 2002/657/EC is indicated by the dotted horizontal line. doi:10.1371/journal.pone.0052917.g003 Figure 3. Predictive power of each single candidate biomarker
for indicating rbST abuse. True-positive rates were calculated for all
samples from rbST-treated cows in their treatment and withdrawal
periods of study I and II. False-positive rates were calculated for all
samples from untreated cows from the two animal studies (adaptation
period samples from all cows and all the samples from untreated cows). Samples were considered positive if their biomarker value exceeded the
respective decision limit. The treatment schedules of the two controlled
animal studies are indicated by black horizontal bars on top of the
graph. The targeted 95% true-positive (,5% false-compliant) rate
according to 2002/657/EC is indicated by the dotted horizontal line. doi:10.1371/journal.pone.0052917.g003 Since we used all of the untreated animals of both animal
studies for model building, false-positive rates for the eleven
different models were calculated based on the results of the 67
independent untreated cows (Table S2). For the three best-
performing prediction models IA, AO and IAO, false-positive
rates ranged from 10.6% to 14.7%, which was quite acceptable,
since samples screened positive must be analysed by a subsequent
confirmatory analysis method according to Commission Decision
2002/657/EC anyway [23]. The confirmation method is based on
the detection of an N-terminal peptide of somatotropin, which has December 2012 | Volume 7 | Issue 12 | e52917 December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org 7 Biomarker Assessment for rbST Abuse Detection Figure 4. Number of biomarkers reacting above the respective decision limit. Statistical multiple biomarker analysis Results shown per cow (in animal studies I and II) and day of
the controlled animal studies. Each row represents one individual cow. Vertical dotted lines indicate the treatment time points in both animal studies. doi:10.1371/journal.pone.0052917.g004 Figure 4. Number of biomarkers reacting above the respective decision limit. Results shown per cow (in animal studies I and II) and day of
the controlled animal studies. Each row represents one individual cow. Vertical dotted lines indicate the treatment time points in both animal studies. doi:10.1371/journal.pone.0052917.g004 Figure 4. Number of biomarkers reacting above the respective decision limit. Results shown per cow (in animal studies I and II) and day of
the controlled animal studies. Each row represents one individual cow. Vertical dotted lines indicate the treatment time points in both animal studies. doi:10.1371/journal.pone.0052917.g004 The results obtained proof that the developed 4-plex FCIA
reduced to an AO biomarker combination 2-plex FCIA, applied to
an in vivo evaluation and combined with a thorough statistical
multiple biomarker analysis can detect more than 95% of the
rbST-treated cows truly positive directly after the second rbST
injection until the end of their treatment period and even
thereafter. This meets the requirements of Commission Decision a different terminal amino acid in the recombinant form of the
hormone [26]. We concluded from the results of the here presented studies that
the AO biomarker combination is the preferred model for
predicting rbST abuse. It yielded seven out of eleven time points
above the 95% target and if two biomarkers are equally well-suited
for prediction as three biomarkers, the simpler version is favoured. Figure 5. Predictive power (shown as true-positive and false-positive rates) of the additive biomarker analysis. True-positive rates
were calculated for all samples from rbST-treated cows in their treatment and withdrawal periods of study I and II. False-positive rates were calculated
for all samples from untreated cows from the two animal studies (adaptation period samples from all cows and all the samples from untreated cows). Samples were considered positive if one of the candidate biomarkers exceeded its respective decision limit. The treatment schedules of the two
animal studies are indicated by black horizontal bars on top of the graph. The targeted 95% true-positive (,5% false-compliant) rate according to
2002/657/EC is indicated by the dotted horizontal line. doi:10.1371/journal.pone.0052917.g005 Figure 5. Predictive power (shown as true-positive and false-positive rates) of the additive biomarker analysis. Statistical multiple biomarker analysis True-positive rates
were calculated for all samples from rbST-treated cows in their treatment and withdrawal periods of study I and II. False-positive rates were calculated
for all samples from untreated cows from the two animal studies (adaptation period samples from all cows and all the samples from untreated cows). Samples were considered positive if one of the candidate biomarkers exceeded its respective decision limit. The treatment schedules of the two
animal studies are indicated by black horizontal bars on top of the graph. The targeted 95% true-positive (,5% false-compliant) rate according to
2002/657/EC is indicated by the dotted horizontal line. doi:10.1371/journal.pone.0052917.g005 r (shown as true-positive and false-positive rates) Figure 5. Predictive power (shown as true-positive and false-positive rates) of the additive biomarker analysis. True-positive rates
were calculated for all samples from rbST-treated cows in their treatment and withdrawal periods of study I and II. False-positive rates were calculated
for all samples from untreated cows from the two animal studies (adaptation period samples from all cows and all the samples from untreated cows). Samples were considered positive if one of the candidate biomarkers exceeded its respective decision limit. The treatment schedules of the two
animal studies are indicated by black horizontal bars on top of the graph. The targeted 95% true-positive (,5% false-compliant) rate according to
2002/657/EC is indicated by the dotted horizontal line. December 2012 | Volume 7 | Issue 12 | e52917 December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org 8 Biomarker Assessment for rbST Abuse Detection Figure 6. True-positive rates following statistical multiple biomarker analysis. True-positive rates, obtained with the prediction models
based on the eleven different biomarker combinations, were calculated for rbST-treated cows from animal study I in their treatment and withdrawal
period. The treatment schedules of animal study I is indicated by black horizontal bars on top of the graphs. The targeted 95% true-positive rate
according to 2002/657/EC is indicated by the dotted horizontal lines. doi:10.1371/journal.pone.0052917.g006
Biomarker Assessment for rbST Abuse Detection Figure 6. True-positive rates following statistical multiple biomarker analysis. True-positive rates, obtained with the prediction models
based on the eleven different biomarker combinations, were calculated for rbST-treated cows from animal study I in their treatment and withdrawal
period. The treatment schedules of animal study I is indicated by black horizontal bars on top of the graphs. Statistical multiple biomarker analysis The targeted 95% true-positive rate
according to 2002/657/EC is indicated by the dotted horizontal lines. doi:10.1371/journal.pone.0052917.g006 2002/657/EC for a screening assay for the detection of banned
veterinary drugs such as rbST [23]. requirements of Commission Decision 2002/657/EC for screen-
ing assays [23]. Furthermore, the extensive in vivo validation with
two independent rbST animal treatment studies followed by
statistical analysis revealed that a combination of just two
candidate biomarkers is actually adequate for detection of rbST
treatment. Therefore, even a 2-plex version (namely the combi-
nation of anti-rbST-antibodies and osteocalcin) of our assay would
already be fit-for-purpose based on the data presented here. When comparing with previously reported results of a 3-plex
FCIA combining IGF-1, IGFBP2 and anti-rbST-antibodies [31],
the models presented here seemingly perform somewhat less,
especially at the beginning of the rbST treatment but the new
models are much more realistic: Note that here, two completely
independent groups were used for model building (Group A) and
prediction (Group B), whereas in the 3-plex experiments [31],
sample data used for prediction were from the same cows as the
data on which the model was built, leading to an overestimation of
true-positive results in that work. Nevertheless some issues should be considered. First of all, for
obvious ethical and cost reasons, the rbST treatment period was
limited to 8 weeks in our animal studies, so we do not know yet
how the prediction models would perform for long-term treated
animals. As it can be seen in Figure 2C.1, the antibody biomarker
response declined somewhat in course of the treatment period and
we do not know whether this would influence the prediction
quality in a prolonged treatment. Second, in the presented animal
studies, cows were treated with rbST for the first time in their lives December 2012 | Volume 7 | Issue 12 | e52917 Chemicals and instruments Ultrasonic bath, monosodium phosphate monohydrate (NaH2-
PO46H2O), potassium dihydrogen phosphate (KH2PO4), sodium
chloride (NaCl), sodium azide (NaN3) and Tween 20 were
obtained from VWR International (Amsterdam, The Nether-
lands). Microcentrifuge Model 16K was purchased from Bio-Rad
(Veenendaal, The Netherlands). Protein LoBind Tubes, Safe Lock
Tubes (amber) and Centrifuge 5810R were obtained from
Eppendorf (Hamburg, Germany). 1-Ethyl-3-(3-dimethylaminopro-
pyl)carbodiimide
(EDC),
2-(N-morpholino)ethanesulfonic
acid
(MES) hydrate, ovalbumin and bovine serum albumin (BSA) were
obtained from Sigma-Aldrich (St. Louis, MO, USA). MultiScreen
HTS filter plates were purchased from Millipore (Billerica, MA,
USA). Purified bovine osteocalcin and mouse anti-bovine osteo-
calcin antibodies were obtained from Haematologic Technologies,
Inc. (Essex Junction, VT, USA). Insulin-like growth factor-I (IGF-
I; human recombinant) was purchased from Fitzgerald Industries
International (North Acton, MA, USA). Insulin-like growth factor
binding protein-2 (IGFBP-2; bovine recombinant, receptor grade)
was purchased from IBT (Reutlingen, Germany). Mouse anti-IGF-
1 was supplied by LifeSpan BioSciences, Inc. (clone SPM406,
Seattle, WA, USA) and the rabbit anti-IGFBP-2 was from United
States Biological (Swampscott, MA, USA). Monsanto rbST
standard was obtained from the National Hormone & Peptide
Program (NHPP) of Dr Parlow (Torrance, CA, USA). R-
Phycoerythrin (PE)-labelled goat anti-bovine immunoglobulins
(GAB-PE) were from Santa Cruz Biotechnology (Santa Cruz, CA,
USA) and R-Phycoerythrin (PE)-labelled goat anti-mouse immu-
noglobulins (GAM-PE) and goat anti-rabbit immunoglobulins
(GAR-PE) were purchased at Prozyme (San Leandro, CA, USA). Donor adult bovine serum was from HyClone (South Logan, UT,
USA). Sodium hydroxide (NaOH), disodium hydrogen phosphate
dihydrate (Na2HPO462 H2O) and hydrochloric acid (HCl) were
purchased from Merck (Darmstadt, Germany). SeroMAP micro-
spheres (microsphere sets 025, 050, 078 and 084) and sheath fluid
were obtained from Luminex (Austin, TX, USA). The Luminex
100 IS 2.2 system consisting of a Luminex 100 analyser and a
Luminex XY Platform was purchased from Applied Cytometry
Systems (ACS, Dinnington, Sheffield, South Yorkshire, UK). Snijder Test tube rotator was from Omnilabo International
(Breda, The Netherlands). 10 mL polypropylene tubes were
obtained from Greiner Bio-One (Alphen aan de Rijn, The
Netherlands). Glycine was purchased from Duchefa (Haarlem,
The Netherlands) and sulfo-N-Hydroxysuccinimide (Sulfo-NHS)
from Fluka (Buchs, Switzerland). Sodium dodecyl sulphate (SDS)
was obtained from Serva (Heidelberg, Germany). The microtiter
vari-shaker was purchased from Dynatech (Guernsey, UK). PosilacH (rbST) 500 mg single dose syringes and syringes with
only the slow release formula were obtained from Monsanto
Company (St. Louis, MO, USA) for animal study I and from
Elanco Animal Health (Greenfield, IN, USA) for animal study II. Biomarker Assessment for rbST Abuse Detection and there are no data about biomarker levels during a second
treatment period after calving. According to the manufacturers’
treatment schedule, dairy cows are treated starting from 9 weeks
after calving until the end of the lactation (typically a biweekly
treatment) and the following year again. Eppard et al. and Zwickl et
al. reported that repeated treatment periods did not cause an
immunological memory effect with enhanced antibody production
in the second treatment period [33,34]. For both situations, long-
term treatment and repeated treatment, the IA, AO and IAO
biomarker combinations should be tested and possibly the
inclusion of other biomarkers could be considered. Since blood
sampling in routine veterinary monitoring programmes might not
be justified in some countries, we suggest a tiered approach
according to Commission Decision 2002/657/EC. This would
consist of three steps: First, a fast screening for anti-rbST-
antibodies in tank milk using our previously described milk FCIA
[29]. Second, in case of suspicious findings, a more detailed
individual bovine serum biomarker profiling using the IA, AO or
IAO FCIA presented here will provide additional evidence, since
they are based on more biomarkers and data for individual cows. Note that in practice, a whole stable and not an individual cow is
treated with rbST, thus increasing the chance of detecting rbST
use. And third, for final confirmation of rbST itself in serum
samples of suspect individual cows, a highly sensitive mass
spectrometric confirmatory method, which fulfils the 2002/657/
EC confirmatory method requirements, is to be used [26]. Conclusions In this study a multidisciplinary approach was used for the
development of an in vivo validated screening assay for rbST abuse
in dairy cows. Four candidate biomarkers for rbST abuse were
assessed using a newly developed 4-plex flow cytometric immu-
noassay,
in
vivo
validation
studies
and
advanced
statistics. Biomarkers indicative for rbST administration were evaluated
based on two extensive animal studies with rbST-treated and
untreated animals and an additional untreated reference popula-
tion. Different data evaluation approaches were tested. The
prediction tool kNN using a biomarker combination endogenously
produced antibodies against rbST and osteocalcin proved to be
very reliable and correctly predicted 95% of the treated samples
starting from the second rbST injection until the end of the
treatment period and even thereafter. This reduced 2-plex FCIA
method (consisting of biomarkers anti-rbST antibodies and
osteocalcin) combined with the statistical analysis approach was
shown to be a fast, reliable and cost-effective approach to screen
for rbST abuse in dairy cattle. These methods and models can be
included in routine veterinary control programmes in the
European Union for detection of rbST abuse and also in the
control of rbST-free dairy farms in the United States of America
and other countries. Chemicals and instruments Buffers and solutions Discussion For the first time, to the best of our knowledge, a 4-plex
biomarker assay development and data evaluation model is
presented for the detection of rbST abuse, which fulfils the December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org 9 Biomarker Assessment for rbST Abuse Detection Sample materials p
Samples from different sources were used for analysis. Serum
samples from two independent controlled animal treatment studies
were used. In animal study I, eight Holstein cows were selected. These cows were all about 5 years old, divided in two groups of 4
animals each and treated with 500 mg rbST in slow-release
formula or slow-release formula only. After a two-week adaptation
period, they received an injection every second week, in total 4
times in accordance with the suggested treatment schedule by the
manufacturer (http://www.fda.gov/downloads/AnimalVeterinary/
Products/ApprovedAnimalDrugProducts/FOIADrugSummaries/
ucm050022.pdf; accessed 2012 Apr 4). Since we did not know
for sure whether we would see any response, the cows were
thereafter treated two times more but with a weekly interval,
followed by a final 4-week withdrawal period. In animal study
II, 10 Holstein dairy cows were divided in two groups. In
contrast to animal study I, these cows were of different age (2–8
years). After a 2-week adaptation period, 8 cows were treated
every second week with 500 mg rbST in a slow-release formula
during 8 weeks and 2 control cows were treated with the slow-
release formula only. The biweekly treatment period according
to manufacturers’ guidelines was directly followed by a 4-week
withdrawal
period. In
both
studies,
blood
sampling
was
scheduled similarly: During the two week adaptation period,
blood samples were collected weekly; during the treatment period,
blood samples were collected a day before, a day after and a week
after injection and during withdrawal, blood samples were collected
weekly for four more weeks, which yielded 21 serum samples per
cow in animal study I and 18 serum samples per cow in animal
study II. The treatment schedule and blood sampling time points
are shown in Figure S2. Unfortunately, one untreated cow died in
the beginning of animal study I because of swollen hocks, which led
to general inflammation and sepsis. Therefore in study I, results
could be obtained for 4 rbST-treated and 3 untreated cows. Furthermore, one cow from animal study II fell sick (hock joint
inflammation, lung infection and sepsis) in course of the experiment
and its biomarker level results were excluded from statistical
analysis. Sample pre-treatment A generic sample pre-treatment procedure which was crucial for
removing non-specific interferences and making the candidate
biomarkers accessible for detection was described previously
[4,28,29], is depicted in Figure 1 and described in-depth in
Materials S1. Additive biomarker analysis. After evaluating biomarker
profiles and true-positive rates based on single biomarkers, an
additive biomarker approach was tested. Here, a sample was
considered as rbST-treated when at least one of the candidate Additive biomarker analysis. After evaluating biomarker
profiles and true-positive rates based on single biomarkers, an
additive biomarker approach was tested. Here, a sample was
considered as rbST-treated when at least one of the candidate Biomarker Assessment for rbST Abuse Detection microspheres (sets 050, 025, 078 respectively) was described
before [4,28,29]. Coupling 75 mg mL21 osteocalcin to micro-
spheres (set 084) was done following the same procedure. Four-plex flow cytometric immunoassay procedure The assay procedure for detection of three biomarkers was
described before [31] and is similar for four biomarkers in the
present study and summarized in Figure 1. The samples were
analysed in duplicate in the flow cytometer at 1 mL s21 until 50
microspheres per set were counted, up to a maximum of 50 mL per
sample. A typical analysis of a full 96 well microtiter plate takes
3.5 hours starting from raw serum until the results are obtained. Sample materials For investigation of natural physiological variations in
biomarker levels, sera from 67 healthy, lactating cows varying in the
age of two to eleven years, from two different locations, in different
stages of their lactating cycle were analysed, to reflect a normal
population of untreated dairy cows. Based on the origin of these
animals the assumption of being untreated with rbST was justified. Standard preparation Protein standards of IGF-1, IGFBP2 and osteocalcin, prepared
in serum-matched buffer (80 mg mL21 BSA in PBS), were used
for standard curves ranging from 0.08 to 20 ng mL21 for IGF-1
and osteocalcin and from 0.2 to 50 ng mL21 for IGFBP2. Also
blank standard samples (80 mg mL21 BSA in PBS without any
IGF-1, IGFBP2 and osteocalcin) were measured. Note that no
standards are commercially available for anti-rbST-antibodies. Single
biomarker
analysis
approach. Using a single
biomarker for prediction of unknown samples as rbST-treated or
untreated, the calculation of decision limits for each biomarker
was necessary. These were based on the results obtained from a
population of 67 untreated dairy cows being diverse in age, in
lactation stage and in origin. For every biomarker, results were
averaged and two-times the standard deviation was added to
obtain the decision limit. Samples found to show concentrations
(for IGF-1 and osteocalcin), B/B0 (for IGFBP2) or B/Bd (for anti-
rbST antibodies) beyond the respective calculated decision limit,
were considered as rbST-treated (positive). True-positive and false-
positive rates could be calculated for every single biomarker from
the results of the controlled animal studies. Single
biomarker
analysis
approach. Using a single
biomarker for prediction of unknown samples as rbST-treated or
untreated, the calculation of decision limits for each biomarker
was necessary. These were based on the results obtained from a
population of 67 untreated dairy cows being diverse in age, in
lactation stage and in origin. For every biomarker, results were
averaged and two-times the standard deviation was added to
obtain the decision limit. Samples found to show concentrations
(for IGF-1 and osteocalcin), B/B0 (for IGFBP2) or B/Bd (for anti-
rbST antibodies) beyond the respective calculated decision limit,
were considered as rbST-treated (positive). True-positive and false-
positive rates could be calculated for every single biomarker from
the results of the controlled animal studies. Data analysis Raw median fluorescence intensities (MFIs) were measured by
the flow cytometer for every single candidate biomarker. Every
sample was measured in duplicate and MFIs were averaged before
further analysis. For IGF-1, IGFBP2 and osteocalcin, B/B0 values
were calculated per sample by dividing the measured MFI by the
MFI of a blank biomarker-free standard. Then, concentrations
were recalculated from standard curves (non-linear four-parameter
curve fit) using GraphPad Prism program (GraphPad Software
Inc., San Diego, USA) for IGF-1 and osteocalcin. For IGFBP2, no
complete inhibition could be obtained with the available standard
protein, therefore, no actual concentrations were determined and
B/B0 values were simply used. For anti-rbST-antibodies, which
are endogenously produced by the cow in response to rbST
treatment, no standard was available. To be able to normalize,
measured sample MFIs were divided by the MFI of one serum
sample, which was measured every time (B/Bd). This serum was
donor adult bovine serum which was a mixture of sera from many
cows from one herd. Since this is produced in large amounts, it can
be used for a long time with constant quality. To assess the 4-plex FCIA quality and compare it to other
methods, assay performance characteristics were calculated, such
as IC50, inter-assay and intra-assay variation (describing precision
and ruggedness). For IGF-1, IGFBP2 and osteocalcin, IC50 was
read from standard curves at 50% inhibition of the signal of the
blank. For all candidate biomarkers, inter-assay variation was
determined by measuring 8 different serum samples on 8 days. Mean of results (concentrations for IGF-1 and osteocalcin, B/B0
for
IGFBP2
and
B/Bd
for
anti-rbST-antibodies),
standard
deviation and percentaged standard deviation (%CV) were
calculated for every serum. The average of the 8 percentaged
standard deviations was the inter-assay deviation. Intra-assay
variation was calculated the same way from 8 repetitions of 8 sera
within one microtiter plate. Ethics statement Buffers and solutions were prepared as follows: phosphate-
buffered saline (PBS; 154 mM NaCl, 5.39 mM Na2HPO4,
1.29 mM KH2PO4, pH 7.4), PBST (PBS, 0.05% v/v Tween-
20), PBSTB (0.1% w/v BSA in PBST), glycine solution I (GS I;
27.5 mM glycine, pH 0.5 adjusted with HCl), glycine solution II
(GS II; 400 mM glycine, 0.3% w/v SDS, pH 10 adjusted with
NaOH), MES buffer (50 mM, pH 5), blocking buffer (PBS, 0.1%
w/v BSA, 0.02% v/v Tween-20, 0.05% w/v NaN3). Permission for animal study I (EC2007/71) was obtained from
the Ethical Commission of the Faculty of Veterinary Medicine of
Ghent University (Belgium) on basis of the Dutch law on animal
studies (Wet op de Dierproeven). For animal study II, permission
(EC2010-21) was obtained from the Ethical Commission of the
Animal Science Group of Wageningen University and Research
Centre in Lelystad (The Netherlands). December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org 10 Biomarker Assessment for rbST Abuse Detection Acknowledgments We kindly thank Dr Philippe Delahaut from CER groupe (Marloie,
Belgium) for supplying reference serum samples from untreated cows,
Johan van Hende from University of Ghent (Belgium) for performing the
controlled animal treatment experiment and Dr Maria J. Groot and Jan S. Ossenkoppele for their help with collecting the sample material. )
(DOCX) Table S2
False-positive rates of the statistical multiple
biomarker analysis. Results were calculated for 67 indepen-
dent untreated cows predicted with the eleven different biomarker
combination models. (DOCX) For model building of the Group A data, a training and test set
were chosen by using a stratified repeated random sub-sampling
approach, which means that 70% of the rbST-treated and 70% of
the untreated samples were selected for the training set and the
remaining 30% of both groups for the test set for internal
validation, which is necessary to build a strong model. Subse-
quently, concentrations, B/B0 and B/Bd values of the training set
were auto-scaled and a kNN model was built on the training set
data. The optimal number of k (1#k#10) was chosen based on the
bootstrapping approach [44] leaving out 10% of the training data
(randomly with replacement), which was repeated 10-times. The
resulting model was validated with the test set data and thereafter
used for predicting Group B data. To obtain an average
performance of the model, this procedure was run 10,000 times;
every time different randomly chosen training and test sets of Microsphere preparation Covalent coupling of 100 mg mL21 Monsanto rbST standard,
100 mg mL21 IGF-1 and 10 mg mL21 IGFBP2 to seroMAP PLOS ONE | www.plosone.org December 2012 | Volume 7 | Issue 12 | e52917 11 Biomarker Assessment for rbST Abuse Detection biomarkers reacted above decision limit and also here, true-
positive and false-positive rates were calculated. Group A data were applied. Correctly and falsely predicted results
were evaluated for Group B and a true-positive rate and false-
positive rate could be calculated for every Group B sample. Multiple biomarker statistical approach. After evaluating
single candidate biomarkers and testing the additive biomarker
approach, we assessed how well a statistical combination of two to
four markers was capable to predict rbST abuse. Therefore, a k-
nearest neighbours prediction model (kNN) in the R environment
[42] and functions available in R package e1071 [43] were used to
evaluate all eleven theoretical combinations of two to four
biomarkers. As in the single biomarker approach, recalculated
concentrations for IGF-1 and osteocalcin and B/B0 signals for
IGFBP2 as well as B/Bd signals for rbST-induced antibodies for
every sample from the animal studies were included in the data
analysis. For obvious ethical reasons, we had only a limited
number of rbST-treated animals available. Therefore, all serum
sample time points per cow (21 time points in the trial period of 14
weeks for animal study I and 18 time points in the trial period of
13 weeks for animal study II) were used for data analysis, despite
the fact that these were not completely independent. However,
only data from independent cows were used for model building
and sample prediction. Author Contributions Conceived and designed the experiments: MB NS MN SL. Performed the
experiments: NS SL. Analyzed the data: SL GvdV. Contributed reagents/
materials/analysis tools: GvdV MB SL NS. Wrote the paper: SL MN NS
GvdV. Conceived and designed the experiments: MB NS MN SL. Performed the
experiments: NS SL. Analyzed the data: SL GvdV. Contributed reagents/
materials/analysis tools: GvdV MB SL NS. Wrote the paper: SL MN NS
GvdV. 9. Boateng J, Kay R, Lancashire L, Brown P, Velloso C, et al. (2009) A proteomic
approach combining MS and bioinformatic analysis for the detection and
identification of biomarkers of administration of exogenous human growth
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biomarkers indicative of growth hormone doping in healthy human subjects.
Proteomics 11: 3565–3571. 1. Teale P, Barton C, Driver PM, Kay RG (2009) Biomarkers: unrealized potential
in sports doping analysis. Bioanalysis 1: 1103–1118. 3. Draisci R, Montesissa C, Santamaria B, D’Ambrosio C, Ferretti G, et al. (2007)
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399–407. Materials S1
Serum preparation, generic serum pre-
treatment and 4-plex FCIA for serum candidate bio-
markers.
(DOCX) First, the whole data set was divided into two groups: Group A
data were used to build the time-point-independent prediction
model. Therefore and to use sufficient sample numbers for the
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(diverse population with biweekly treatment only). Furthermore,
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p g
y
y
2. Cacciatore G, Eisenberg SW, Situ C, Mooney MH, Delahaut P, et al. (2009)
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Standard curves of the three rbST-dependent
biomarkers IGF-1, IGFBP2 and osteocalcin. Each data
point is the mean of 8 separate measurements in a serum-matched
buffer (80 mg mL21 BSA in PBS solution). All curves relate to 80-
times diluted sera. (TIF) Figure
S2
Treatment
schedule
and
sampling
time
points for animal studies I and II. Arrows indicate the
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in sports doping analysis. Bioanalysis 1: 1103–1118. 7. Ding J, List EO, Okada S, Kopchick JJ (2009) Perspective: Proteomic approach
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antibodies in serum of dairy cows. Drug Test Analysis 4: 362–367. 5. Chung L, Baxter RC (2009) Detection of growth hormone responsive proteins
using SELDI–TOF mass spectrometry. Growth Horm IGF Res 19: 383–387. December 2012 | Volume 7 | Issue 12 | e52917 PLOS ONE | www.plosone.org 12 Biomarker Assessment for rbST Abuse Detection Biomarker Assessment for rbST Abuse Detection Le Breton MH, Rochereau-Roulet S, Chereau S, Pinel G, Delatour T, et al. (2010) Identification of cows treated with recombinant bovine somatotropin. J Agr Food Chem 58: 729–733. 27. Le Breton MH, Rochereau-Roulet S, Pinel G, Cesbron N, Le Bizec B (2009)
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The Anti-Ageing and Whitening Potential of a Cosmetic Serum Containing 3-O-ethyl-l-ascorbic Acid
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Keywords: melanin; skin ageing; reconstructed human epidermis; human keratinocytes; fibroblasts;
photoprotection; vitamin C 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. life life life Article
The Anti-Ageing and Whitening Potential of a Cosmetic Serum
Containing 3-O-ethyl-L-ascorbic Acid Nicola Zerbinati 1, Sabrina Sommatis 2, Cristina Maccario 2, Serena Di Francesco 2, Maria Chiara Capillo 2,
Raffaele Rauso 3
, Martha Herrera 4, Pier Luca Bencini 5, Stefania Guida 6 and Roberto Mocchi 2,* 1
Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy;
nicola.zerbinati@uninsubria.it 1
Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy;
nicola.zerbinati@uninsubria.it 2
Department of Molecular Medicine, UB-CARE S.r.l.-Spin-Off University of Pavia, 27100 Pavia, Italy;
sabrina.sommatis@ub-careitaly.it (S.S.); cristina.maccario@ub-careitaly.it (C.M.);
serena.difrancesco@ub-careitaly.it (S.D.F.); mariachiara.capillo@ub-careitaly.it (M.C.C.) serena.difrancesco@ub careitaly.it (S.D.F.); mariachiara.capillo@ub careitaly.it (M.C.C.)
3
Maxillofacial Surgery Unit, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy;
raffaele.rauso@unicampania.it g
y
,
,
;
5
Istituto di Chirurgia e Laser-Chirurgia in Dermatologia (I.C.L.I.D.), 20121 Milan, Italy; pl.bencini@iclid.it
6
Dermatology Unit, Department of Surgical, Medical, Dental and Morphological Sciences Related to
Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio Emilia, 41124 Modena,
Italy; stefania.guida@unimore.it *
Correspondence: roberto.mocchi@ub-careitaly.it Abstract: Skin ageing has many manifestations such as wrinkles, dryness, hyperpigmentation, and
uneven skin tone. Extrinsic and intrinsic factors, especially solar ultraviolet light (UVB), contribute to
skin ageing; its main features are brown spots, alterations in melanin pigmentation, and a decrease in
collagen and hyaluronic acid linked to oxidative stress. Several studies showed that topical products
containing ingredients with antioxidant activity can reduce oxidative damage; to provide a maximum
anti-ageing effect to the skin, topical products can combine various ingredients. C-SHOT SERUM
contains a combination of two molecules with a proven anti-ageing activity: a high percentage
(30%) of a more stable vitamin C derivative, 3-O-ethyl-L-ascorbic acid, and lactic acid (1%). The
product showed a high biocompatibility, assessed through an MTT assay on keratinocytes and
on Reconstructed Human Epidermis (RHE, SkinEthic); the anti-ageing activity was demonstrated
on human dermal fibroblasts and keratinocytes by a statistically significant increase in collagen
production and a reduction of a UVB-induced DNA damage marker (γ-H2AX histone), indicating
DNA protection. Moreover, a depigmenting activity, shown by a highly significant decrease in
melanin content on treated Reconstructed Human Pigmented Epidermis (RHPE), was assessed. According to the data of our study, the tested product contrasts the effect of skin ageing and irregular
pigmentation due to the physiological decline of the skin.
Citation: Zerbinati, N.; Sommatis, S.;
Maccario, C.; Di Francesco, S.;
Capillo, M.C.; Rauso, R.; Herrera, M.;
Bencini, P.L.; Guida, S.; Mocchi, R. The Anti-Ageing and Whitening
Potential of a Cosmetic Serum
Containing 3-O-ethyl-L-ascorbic Acid. Article
The Anti-Ageing and Whitening Potential of a Cosmetic Serum
Containing 3-O-ethyl-L-ascorbic Acid Life 2021, 11, 406. https://doi.org/
10.3390/life11050406
Academic Editor: Rolland Gyulai
Received: 15 April 2021
Accepted: 26 April 2021
Published: 29 April 2021 1. Introduction g
y
C-SHOT SERUM is a cosmetic product (Matex Lab SpA, Via Carlo Urbani 2, ang Enrico
Fermi, Brindisi, Italy) containing a high concentration of vitamin C (30%), in particular
the much more stable derivative 3-O-ethyl ascorbic acid (3OAA) and lactic acid (1%),
which play a key role in many basic molecular anti-ageing-related processes like collagen
stimulation, melanogenesis inhibition, and protection against photoageing and UV damage. The 3-O-ethyl ascorbic acid has an ethyl group at the third carbon position and this
structural modification protects the 3-OH group from ionization and, thus, the molecule
from oxidation [10]. Vitamin C has shown its anti-ageing activity already from use at 5% in cosmetic for-
mulations; furthermore, to be effective, topical application requires pH levels below four to
allow the delivery across the epidermal layer to be mediated by specific sodium-dependent
vitamin C transporters (SVCT1 and SVCT2). Both transporters are hydrophobic membrane
proteins that co-transport sodium, driving the uptake of vitamin C; SVCT1 is a low affinity
transporter closed to epithelial cells in the small intestine and kidney, while SVCT2 is a
high affinity transporter ubiquitous in the cells of the body. The vitamin C delivery is
finely regulated by the availability of the SVCTs on the plasma membrane and, following
its uptake, it is involved in many molecular processes. Several evidence demonstrate the
role of vitamin C as a co-factor for the regulatory proline and lysine hydroxylases that
stabilize the collagen molecule tertiary structure through the hypoxia-inducible factor
(HIF)-1 activation, controlling the gene expressions involved in collagen synthesis (Col-1
and Col-3) and tissue remodeling as collagenases [11–16]. Vitamin C is a water-soluble
antioxidant that protects the skin from reactive oxygen species (ROS) by solar radiation
or environmental factors such as pollution [14]. Other studies evidenced vitamin C’s
ability to interfere with the action of tyrosinase, the rate-limiting enzyme in melanogenesis. Particularly, it reduces the ortho-quinones obtained from the dihydroxyphenylalanine
(DOPA) oxidation derived from tyrosinase catalysis. Indeed, it has been used in cosmetic
products also to make the skin more radiant and brighter because it is able to act against
the hyperpigmentation [15–17]. However, the physicochemical properties of the compound, such as rapid oxidation
in solutions upon exposure to air, the melting point (190–192 ◦C) partition coefficient (log
P(o/w) = −1.85) and dissociation constant (pKa = 4.25) reduce its delivery across the skin and
its molecular efficacy. 1. Introduction Skin ageing is characterized by intrinsic and extrinsic factors that cause impairment of
skin integrity, structural degradation and alterations [1]. Intrinsic or chronological ageing
is an uncontrollable process caused by a physiological decline due to passing years and
is characterized by smooth, dry, pale, and finely wrinkled skin [2]. Extrinsic ageing is
generally caused by environmental factors such as ultraviolet (UV) radiation from the sun
(major cause of skin damage as photoageing), alcohol intake, poor nutrition, overeating,
and environmental pollution [3,4]. UVA constitute 95% of the sun’s rays that reach the Earth,
but exposure to UVB, the remaining 5%, has a much greater biological impact on the skin
than exposure to UVA when comparing similar irradiation doses. A major part of UVB is 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/). https://www.mdpi.com/journal/life Life 2021, 11, 406. https://doi.org/10.3390/life11050406 Life 2021, 11, 406 2 of 13 adsorbed in the epidermis by DNA, aromatic amino acids of proteins, nicotinamide adenine
dinucleotide (NADH), and nicotinamide adenine dinucleotide phosphate (NADPH), and
does not penetrate deeper into the skin [5]. Regarding aged skin, brown spots also are
found often as a consequence of alterations in the melanin pigmentation, particularly
visible on the face and back of the hands [6]. Photoageing leads to a drastic decrease in
skin hydration and total levels of collagen, elastin, and hyaluronic acid, causing a series of
intracellular responses such as the production of oxidative stress. Particularly, UVB also
can directly affect the DNA of skin cells through the formation of cyclobutane pyrimidine
dimers (CPDs) and another dipyrimidine lesion, the (6–4) photoproducts [7]. Constant use of skin care products with added active molecules or antioxidants from
an early age can lead to significant benefits in counteracting the effects of skin damage. The antioxidants, such as vitamins, have a preventative effect on ageing and their use, in
the cosmetic field, is due to their ability to easily penetrate the skin thanks to their small
molecular weight, their safeness, and their efficacy often found in the short term [8,9]. 2. Materials and Methods 2.1. International Nomenclature of Cosmetic Ingredients (INCI) The functional classification of ingredients contained in the tested serum is summa-
rized in Table 1. Table 1. Functional classification of ingredients contained in the serum used in the study. Table 1. Functional classification of ingredients contained in the serum used in the study. Function
Ingredient
Skin conditioning
3-O-ethyl ascorbic acid, lactic acid
Humectant
propanediol, sodium lactate
Buffering & Keratolytic
sodium lactate
Preservative
phenoxyethanol, imidazolidinyl urea
Thickener
hydroxyethylcellulose
Chelating agent
disodium edta Table 1. Functional classification of ingredients contained in the serum used in the study. Function
Ingredient
Skin conditioning
3-O-ethyl ascorbic acid, lactic acid
Humectant
propanediol, sodium lactate
Buffering & Keratolytic
sodium lactate
Preservative
phenoxyethanol, imidazolidinyl urea
Thickener
hydroxyethylcellulose
Chelating agent
disodium edta Function
Skin conditioning
Humectant
Buffering & Keratolytic
Preservative
Thickener
Chelating agent 1. Introduction To overcome these disadvantages and ensure the molecular efficacy,
several vitamin C derivatives were synthetized and evaluated for their potential as pro-
ascorbic acid derivatives. Among these, 3OAA is more lipophilic than the original, hence
exhibiting an improved permeation into the skin, demonstrating an efficient transdermal
activity, and allowing the molecular mechanisms associated to the original compound
(vitamin C) previously described. Overcoming the absorption limits due to the topical
application, the choice of using 3OAA within cosmetic formulations has proved to be a
valid means to improve the effectiveness of the original functional compound [18,19]. Life 2021, 11, 406 3 of 13 Besides vitamin C and its derivatives, topical α-hydroxy acids (α-HA) also showed
clinical efficacy in the anti-ageing skin treatment. The Cosmetic Ingredient Review (CIR)
Panel assessed the evidence that α-HA ingredients are non-toxic, mutagenic, or carcino-
genic recommending a maximum concentration of 10% with a pH above 3.5 in a cosmetic
formulation. Among α-HA, glycolic and lactic acid have been shown to be effective in gly-
cosaminoglycan (GAG) and collagen stimulation but, also, in the treatment of various types
of hyper-pigmentary lesions, such as photoageing, solar lentigines, and post-inflammatory
hyperpigmentation. Specifically, the proposed molecular mechanism underlying the skin
pigmentation resulting from UV exposure is the increased epidermal turnover generating
skin exfoliation/peeling and the suppression of melanin synthesis by inhibiting tyrosinase
activity resulting in shiny and taut skin [19–21]. During this study, we investigated the potential of a cosmetic product containing
concentrated 3-O-ethyl ascorbic acid at 30% in combination with lactic acid at 1%, to contrast
the effect of skin ageing and irregular pigmentation due to the normal physiological decline
of the skin on both in vitro cell cultures and 3D reconstructed tissue models. Cell viability (%) = (OD570nm test product/OD570nm control) × 100
(1) Reduction of cell viability by more than 30% is considered a cytotoxic effect. 2.2. Cell Cultures Human keratinocytes (HaCaT, BS code CL 168), were provided by I.Z.L.E.R. (In-
stitute Zooprofilattico della Lombardia e Emilia Romagna) while human dermal fibrob-
lasts (NHDF-Ad−Human Dermal Fibroblasts, Adult, code CC-2511) were provided by
Lonza (Basel, Switzerland). Cell lines were grown in a complete medium constituted by
Dulbecco’s Modified Eagle’s Medium (DMEM, Biowest, Nuaillé, France) High Glucose
with 10% fetal bovine serum (FBS, Gibco-Fisher Scientific, Waltham, MA, USA), 1% of
L-glutamine (Capricorn Scientific, Ebsdorfergrund, Germany), and antibiotics 100 U/mL
penicillin and 100 µg/mL streptomycin (Capricorn Scientific, Ebsdorfergrund, Germany),
in conditions of complete sterility and maintained in incubation at 37 ◦C with a 5% carbon
dioxide (CO2) atmosphere. p
The Reconstructed Human Epidermis (RHE) model (EPISKIN Laboratories, Lyon,
France) was supplied by SkinEthic™laboratories; it is a reconstructed tissue from normal
human keratinocytes grown for 17 days in a chemically defined medium. The tissue model
consists of a fully differentiated epidermis including a basal cell layer, stratum spinosum,
stratum granulosum, and stratum corneum on a 0.5 cm2 surface of inert polycarbonate
filter at the air–liquid interface [22–24]. The SkinEthicTM Reconstructed Human Pigmented Epidermis (RHPE) model (EPISKIN
Laboratories, Lyon, France) consists of a stratified and differentiated epidermal layer con-
taining human melanocytes and keratinocytes. The cell model used is made of inert
polycarbonate inserts of 0.5 cm2 on which normal human cells differentiate to form a
cellular multilayer. y
Regarding both reconstructed models (RHE and RHPE), two specific media provided
by EPISKIN were used: maintenance and growth media (Table 2). Life 2021, 11, 406 4 of 13 Table 2. Technical data and batch information of maintenance and growth media. Maintenance Media
Growth Media
RHE
(19-RHE-036)
19SMM010
19SGM026
RHPE
(19-RHPE-019)
19SMM019
19SGMRHPE013 Table 2. Technical data and batch information of maintenance and growth media. 2.3. Biocompatibility
2.3.1. Cell Viability (MTT Test) Cell viability was evaluated using the 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetra-
zolium bromide assay, as previously described [25]. Briefly, keratinocytes were homoge-
neously seeded in 96-well plates at a density of 1.5 × 104 and incubated at 37 ◦C, with
a 5% CO2 humidified atmosphere. After 24 h, cells were treated with the cosmetic prod-
uct, starting at 40 mg/mL, following serial dilution (1:2) in cell medium (tested range
0.313–40 mg/mL). Untreated cells were used as the control (Ctrl). The test was conducted
in three replicates for each dilution. After 24 h of treatment, cells were incubated with
1 mg/mL MTT solution (Merck, Darmstadt, Germany) at 37 ◦C for 2 h. After removing
the medium from each well, isopropanol was added to dissolve formazan crystals and
the absorbance was read at a 570 nm wavelength using a microplate reader (MultiSkan,
Thermo Scientific, Waltham, MA, USA). Cell survival was calculated measuring the dif-
ference in optical density (OD) of the tested cosmetic product with respect to the control
(Equation (1)). (1) Cell viability (%) = (OD570nm test product/OD570nm control) × 100
(1) 2.3.2. Skin Irritation Test on 3D Model The day of receipt, RHE inserts were placed in the maintenance medium (6-well plate)
under sterile conditions and stored in an incubator at 37 ◦C, at 5% CO2 overnight. After
this pre-incubation step, the product was topically applied on the surface of the epithelium
insert for 42 min at a 32 µL/cm2 concentration, thus entering into contact with the in vitro
reconstructed epithelium directly. To parallel, the other inserts were treated with a negative
control Dulbecco Phosphate Buffer Solution (DPBS, Merck, Darmstadt, Germany) and a
positive control consisting of a 5% (w/v in water) solution of Sodium Dodecyl Sulfate (SDS,
Merck, Darmstadt, Germany), representing the irritating treatment after a short exposure. Occurring at the end of the exposure step, RHE inserts were rinsed with DPBS and trans-
ferred in 6-well plates for incubation at 37 ◦C, 5% CO2, 95% humidified atmosphere for
42 h. Tissue viability was assessed using an MTT test: tissues were incubated with an
MTT solution (1 mg/mL) for 3 h, then the extraction with isopropanol was performed. After extraction, the OD of the samples was quantified by spectrophotometry at a 570 nm
wavelength. Isopropanol was used as a blank. After subtracting the blank OD from all raw data,
mean OD values and standard deviations (SD) were calculated. Viability of the epidermis
treated with the product was calculated as a ratio of the corrected optical densities of the
sample over the negative control (untreated sample) (Equation (2)). (2) Cell viability (%) = (OD570nm test product/OD570nm negative control) × 100
(2) Cell viability (%) = (OD570nm test product/OD570nm negative control) × 100
(2) When the cell viability value was ≤50%, the product was classified as an irritant. To better evaluate the skin irritation effect of the cosmetic product, as well as the
viability resulting from the direct contact of the product on the inserts, the levels of inter-
leukin (IL)-1α released after treatment also were measured after 42 h of recovery time by
an Enzyme-linked Immunosorbent Assay (ELISA) kit (Diaclone, Besançon cedex, France) Life 2021, 11, 406 5 of 13 following the manufacturer’s protocol. Briefly, supernatants were collected and used
for the coating of a specifically pre-treated 96-well ELISA plate provided in the kit. The
standards were used to perform the standard curve (3.9–250 pg/mL). Samples, blank, and
standards were added to each well in duplicate and the assay was performed according
to the supplier’s instructions. 2.4.2. Collagen Synthesis NHDF cells were homogeneously seeded in 24-well plates at a density of 6 × 104 cells
per well and incubated at 37 ◦C, with a 5% CO2 humidified atmosphere. After 24 h, the
medium was replaced by one with a low FBS concentration (0.5%) as recommended in the
kit. After 24 h, the two concentrations of the product (1.25 and 2.5 mg/mL), demonstrated
to be non-cytotoxic and having the best solubility from the preliminary MTT so were
chosen to be used in this assay (data not shown). Occurring at the end of the treatment, the
supernatant of each sample was collected into a sterile tube and incubated overnight with
the Isolation and Concentration Reagent (polyethylene glycol TRIS-HCl buffer, pH 7.6). The day after, the measurement of collagen synthesis was performed using a commercial
kit (Sircol, Soluble Collagen assay kit, Biocolor Life Science Assays, Carrickfergus, UK),
according to the manufacturer’s instructions, and the absorbance of samples was measured
at 555 nm. The concentration of collagen then was calculated using a standard curve. 2.4.1. Photoprotective Effect HaCaT cells were seeded (5 × 104) homogeneously in 22 × 22 mm slides placed
in Petri dishes and subsequently treated with the product at the highest non-cytotoxic
concentrations (5–10 mg/mL). After 24 h, treatment was removed and cells were exposed
to ultraviolet (UV)B at 2.5 mJ/cm2 (CAMAG® UV Lamp 4, wavelength 302 nm, Muttenz,
CH) as a dose capable to cause damage on a DNA level. The dose was measured us-
ing a Spectroline DRC-100X digital radiometer (Spectronics Corporation Westbury, NY,
USA). After irradiation, cells were maintained in a complete medium for a recovery time
(24 h) at 37 ◦C before fixation in methanol. The day after, samples were incubated with
the anti-phospho-Histone γ-H2A.X (diluted 1:5000 in a DPBS buffer containing 1% BSA)
primary antibody for 1 h. After washing, incubation with a secondary antibody diluted
1:200 was performed for 30 min; then, Hoechst 33258 staining to highlight the cells’ DNA
followed. Images of fixed cells were taken with a Nikon Eclipse E400 fluorescence micro-
scope equipped with a Canon Power Shot A590 IS digital camera. Regarding processing,
approximately 200 total cells were counted for each slide (marked with Hoechst), and the
positive ones for histone γ-H2AX were evaluated among these too. 2.5. Depigmenting Effect The day of receipt, RHPE inserts were placed in a maintenance medium (6-well plate)
under sterile conditions, removing the excess of agar, and stored in an incubator at 37 ◦C,
5% CO2 overnight. After this pre-incubation step, the product was deposed daily on the
surface of the stratum corneum of the tanned epidermal tissue (1 µL/insert) for four days,
while the medium was replaced every day. DPBS was used as a negative control following
the same protocol. Inserts were incubated at 37 ◦C, 5% CO2, 95% humidified atmosphere
and, after 6 days (48 h after the last day of treatment), tissues were assessed for cell viability
(MTT test) and melanin content. 2.3.2. Skin Irritation Test on 3D Model The absorbance was then measured at 450 nm using a mi-
croplate reader (MultiSkan, Thermo Scientific, Waltham, MA, USA). Data were analyzed as
mean ± SD. 2.5.2. Melanin Content
by cutting out the polyca
(Pe ki
El
e
Waltha Regarding melanin content, epidermal tanned tissues were removed from the insert
by cutting out the polycarbonate filter and then plunged into 400 µL of Solvable Solution
(Perkin Elmer, Waltham, MA, USA). Then, samples were heated at 100 ◦C for 45 min, cen-
trifuged, and melanin extract was measured by spectrophotometry at a 500 nm wavelength
using a synthetic melanin calibration curve as reference. (Perkin Elmer, Waltham, MA, USA). Then, samples were heated at 100 C for 45 min,
centrifuged, and melanin extract was measured by spectrophotometry at a 500 nm wave-
length using a synthetic melanin calibration curve as reference. 2.6. Statistical Analysis
All h
i
d
d i
i li
h
h
i
ifi d 2.6. Statistical Analysis
p
and the results were exp All the experiments were conducted in triplicate, except when otherwise specified,
and the results were expressed as a mean ± SD. Statistical significance was calculated using
the One-Way analysis of variance (ANOVA) with Fisher’s Least Significant Difference (LSD)
multiple comparison as the post-test. Statistical analysis was performed using GraphPad
Prism version 9.0.0. (GraphPad Software, Inc., San Diego, CA, USA). Only for the melanin
amount evaluation was the statistical significance calculated using the Student’s t-test. ing the One-Way analysis of variance (ANOVA) with Fisher’s Least Significant Difference
(LSD) multiple comparison as the post-test. Statistical analysis was performed using
GraphPad Prism version 9.0.0. (GraphPad Software, Inc., San Diego, CA, USA). Only for
the melanin amount evaluation was the statistical significance calculated using the Stu-
dent’s T-test. 3 R
lt 2.5.1. Cytotoxicity on RHPE (MTT Test) RHPE tissue samples were incubated in an MTT solution (1 mg/mL) for 3 h at 37 ◦C,
5% CO2 and, subsequently, formazan crystals were dissolved in 1.5 mL isopropanol for
2 h at room temperature under agitation. Two thousand microliters were transferred Life 2021, 11, 406 6 of 13
n trip-
u i g in triplicate into a 96-well plate and the concentration of formazan was quantified by
measuring the OD through spectrophotometry at a 570 nm wavelength. Cellular viability
was obtained by comparing the OD of the insert treated with the cosmetic product and the
OD of the negative controls expressed as a percentage. tained by comparing the OD of the insert treated with the cosmetic product and the OD
of the negative controls expressed as a percentage. 2.5.2. Melanin Content
Regarding melanin content epidermal tanned tissues were removed from the insert 3.1. Evaluation of Cell Viability and Skin Irritation
3.1. Evaluation of Cell Viability and Skin Irritation
The cosmetic product (Matex Lab SpA Via The cosmetic product (Matex Lab SpA, Via Carlo Urbani 2, ang Enrico Fermi, Brindisi,
Italy), showed high biocompatibility on human skin. The cytotoxicity test was required
to evaluate the effect of the product on the cellular viability and to identify that the
appropriate concentrations did not cause a decrease in cell respiration exceeding 30%. Regarding Figure 1 and Table 3, results of the HaCaT viability after treatment with different
concentrations of the tested product (24 h) are shown, expressed as a percentage compared
to the control (untreated cells). The cosmetic product showed cytotoxic activity only after
treatment with the highest tested concentration, equal to 40 mg/mL, providing a cell
viability percentage of 52.18%; higher product concentrations were not tested, assuming a
further decrease in cell viability. The cosmetic product (Matex Lab SpA, Via Carlo Urbani 2, ang Enrico Fermi, Brin
disi, Italy), showed high biocompatibility on human skin. The cytotoxicity test was re-
quired to evaluate the effect of the product on the cellular viability and to identify that the
appropriate concentrations did not cause a decrease in cell respiration exceeding 30%. Re-
garding Figure 1 and Table 3, results of the HaCaT viability after treatment with different
concentrations of the tested product (24 h) are shown, expressed as a percentage com-
pared to the control (untreated cells). The cosmetic product showed cytotoxic activity only
after treatment with the highest tested concentration, equal to 40 mg/mL, providing a cell
viability percentage of 52.18%; higher product concentrations were not tested, assuming
a further decrease in cell viability. Fi u e 1 Cell
iability afte t eat
e t
ith the
odu t o
HaCaT ell
Cell
e e t eated
ith
Figure 1. Cell viability after treatment with the product on HaCaT cells. Cells were treated with Figure 1. Cell viability after treatment with the product on HaCaT cells. Cells were treated with
different concentrations (0.313–40 mg/mL) of the serum for 24 h, and cell viability was assessed
hrough an MTT assay (n = 3, replicates = 3). Figure 1. Cell viability after treatment with the product on HaCaT cells. Cells were treated with
different concentrations (0.313–40 mg/mL) of the serum for 24 h, and cell viability was assessed
through an MTT assay (n = 3, replicates = 3). Figure 1. Cell viability after treatment with the product on HaCaT cells. 3.1. Evaluation of Cell Viability and Skin Irritation
3.1. Evaluation of Cell Viability and Skin Irritation
The cosmetic product (Matex Lab SpA Via Reported in Figure 2
and in Table 4, the tested product did not show any irritant activity after a short direct
exposure on the tested tissue with a viability greater than 50% (threshold used to identify
a substance as not an irritant according to ISO 10993-10: 2010 [26]). Figure 2. Cell viability on Reconstructed Human Epidermis (RHE). The inserts were treated with
negative (Ctrl −, DPBS), positive (Ctrl +, SDS 5%) controls, and with the serum for 42 min. After 42
h of recovery, cell viability was assessed through an MTT assay. Figure 2. Cell viability on Reconstructed Human Epidermis (RHE). The inserts were treated with
negative (Ctrl −, DPBS), positive (Ctrl +, SDS 5%) controls, and with the serum for 42 min. After 42 h
of recovery, cell viability was assessed through an MTT assay. Figure 2. Cell viability on Reconstructed Human Epidermis (RHE). The inserts were treated with
negative (Ctrl −, DPBS), positive (Ctrl +, SDS 5%) controls, and with the serum for 42 min. After 42
h of recovery, cell viability was assessed through an MTT assay. Figure 2. Cell viability on Reconstructed Human Epidermis (RHE). The inserts were treated with
negative (Ctrl −, DPBS), positive (Ctrl +, SDS 5%) controls, and with the serum for 42 min. After 42 h
of recovery, cell viability was assessed through an MTT assay. Table 4. Percentage values in cell viability after treatment (42 min) and 42 h of recovery of the
RHE inserts with negative control (Ctrl −), positive control (Ctrl +), and with the serum (n = 1, rep-
licates = 4). Table 4. Percentage values in cell viability after treatment (42 min) and 42 h of recovery of the
RHE inserts with negative control (Ctrl −), positive control (Ctrl +), and with the serum (n = 1,
replicates = 4). 3.1. Evaluation of Cell Viability and Skin Irritation
3.1. Evaluation of Cell Viability and Skin Irritation
The cosmetic product (Matex Lab SpA Via Cells were treated with
different concentrations (0.313–40 mg/mL) of the serum for 24 h, and cell viability was assessed
through an MTT assay (n = 3, replicates = 3). Figure 1. Cell viability after treatment with the product on HaCaT cells. Cells were treated with
different concentrations (0.313–40 mg/mL) of the serum for 24 h, and cell viability was assessed
through an MTT assay (n = 3, replicates = 3). Table 3. Percentage changes (mean ± SD) in cell viability after 24 h of treatment with the product
(n = 3, replicates = 3). * approximate value. Table 3. Percentage changes (mean ± SD) in cell viability after 24 h of treatment with the product
(n = 3, replicates = 3). * approximate value. Sample (mg/mL)
0
0.313
0.625
1.25
2.50
5
10
20
40
Cell Viability (%)
100
109.78
114.20
120.52
117.04
110.91
109.60
72.89
52.18
Standard Deviation (SD)
0
10.86
10.71
13.69
9.89
9.31
3.29
4.30
0.93
IC50 Value
0.93 * Life 2021, 11, 406 7 of 13
0.93 Skin irritation was investigated on 3D-reconstructed human epidermis, evaluating
tissue viability by an MTT test and the interleukin (IL)-1α amount. Reported in Figure 2
and in Table 4, the tested product did not show any irritant activity after a short direct
exposure on the tested tissue with a viability greater than 50% (threshold used to identify a
substance as not an irritant according to ISO 10993-10:2010 [26]). Skin irritation was investigated on 3D-reconstructed human epidermis, evaluating
tissue viability by an MTT test and the interleukin (IL)-1α amount. Reported in Figure 2
and in Table 4, the tested product did not show any irritant activity after a short direct
exposure on the tested tissue with a viability greater than 50% (threshold used to identify
a substance as not an irritant according to ISO 10993-10: 2010 [26]). Skin irritation was investigated on 3D-reconstructed human epidermis, evaluating
tissue viability by an MTT test and the interleukin (IL)-1α amount. Reported in Figure 2
and in Table 4, the tested product did not show any irritant activity after a short direct
exposure on the tested tissue with a viability greater than 50% (threshold used to identify a
substance as not an irritant according to ISO 10993-10:2010 [26]). Skin irritation was investigated on 3D-reconstructed human epidermis, evaluating
tissue viability by an MTT test and the interleukin (IL)-1α amount. 3.1. Evaluation of Cell Viability and Skin Irritation
3.1. Evaluation of Cell Viability and Skin Irritation
The cosmetic product (Matex Lab SpA Via Sample
Cell Viability (%)
Ctrl −
100 ± 19.75
Ctrl +
3.17 ± 0.81
C-SHOT SERUM
114.34 ± 9.35
Sample
Cell Viability (%)
Ctrl −
100 ± 19.75
Ctrl +
3.17 ± 0.81
C-SHOT SERUM
114.34 ± 9.35 Sample
Cell Viability (%)
Ctrl −
100 ± 19.75
Ctrl +
3.17 ± 0.81
C-SHOT SERUM
114.34 ± 9.35
Sample
Cell Viability (%)
Ctrl −
100 ± 19.75
Ctrl +
3.17 ± 0.81
C-SHOT SERUM
114.34 ± 9.35 The amount of IL 1α released in the medium after treatment with the tested product
was lower than the 9 International Unit (IU)/mL, threshold according to ISO 10993-10:
2010 [26] (Figure 3 and Table 5), indicating a good biocompatibility of the product. The amount of IL-1α released in the medium after treatment with the tested prod-
uct was lower than the 9 International Unit (IU)/mL, threshold according to ISO 10993-
10:2010 [26] (Figure 3 and Table 5), indicating a good biocompatibility of the product. 8 of 14 Figure 3. Expression of IL-1α (IU/mL) after treatment and 42 h of recovery of the RHE inserts with
the negative (Ctrl −), positive (Ctrl +) controls and the serum. (n = 1, replicates = 4) **** p values ≤
0.0001 were considered statistically significant compared to Ctrl −. Table 5. Amount of IL-1α (IU/mL) after treatment (42 min) and 42 h of recovery of the RHE inserts
Figure 3. Expression of IL-1α (IU/mL) after treatment and 42 h of recovery of the RHE inserts with the
negative (Ctrl −), positive (Ctrl +) controls and the serum. (n = 1, replicates = 4) **** p values ≤0.0001
were considered statistically significant compared to Ctrl −. Figure 3. Expression of IL-1α (IU/mL) after treatment and 42 h of recovery of the RHE inserts with
the negative (Ctrl −), positive (Ctrl +) controls and the serum. (n = 1, replicates = 4) **** p values ≤
0.0001 were considered statistically significant compared to Ctrl −. Figure 3. Expression of IL-1α (IU/mL) after treatment and 42 h of recovery of the RHE inserts with the
negative (Ctrl −), positive (Ctrl +) controls and the serum. (n = 1, replicates = 4) **** p values ≤0.0001
were considered statistically significant compared to Ctrl −. Life 2021, 11, 406 8 of 13 Table 5. 3.1. Evaluation of Cell Viability and Skin Irritation
3.1. Evaluation of Cell Viability and Skin Irritation
The cosmetic product (Matex Lab SpA Via Amount of IL-1α (IU/mL) after treatment (42 min) and 42 h of recovery of the RHE inserts
with negative control (Ctrl −), positive control (Ctrl +), and the serum (n = 1, replicates = 4). Sample
IL-1α (IU/mL)
Ctrl −
5.90 ± 0.65
Ctrl +
115.27 ± 0.83
C-SHOT SERUM
0.98 ± 0.17 Table 5. Amount of IL-1α (IU/mL) after treatment (42 min) and 42 h of recovery of the RHE inserts
with negative control (Ctrl −), positive control (Ctrl +), and the serum (n = 1, replicates = 4). Table 5. Amount of IL-1α (IU/mL) after treatment (42 min) and 42 h of recovery of the RHE inserts
with negative control (Ctrl −), positive control (Ctrl +), and the serum (n = 1, replicates = 4). 3.2. Protection Against Ultraviolet (UV)B-Induced DNA Damage 3.2. Protection Against Ultraviolet (UV)B-Induced DNA Damage The photo-protective activity of the product after UVB irradiation was investigated
through the activation of phosphorylated H2AX histone (γ-H2AX). Considering this assay,
the two highest concentrations with a cell viability greater than 80% were selected: 5 and
10 mg/mL. Figure 4 shows representative images of human keratinocytes (HaCaT) in
fluorescence microscopy (magnification 100×) after treatment with the tested product
while, in Figure 5 and in Table 6, the quantification of γ-H2AX positive cells is reported. 9 of 14 Figure 4. Representative fluorescence microscopy images (100×) of HaCaT cells after treatment
with the product (5–10 mg/mL) and UVB 2.5 mJ/cm2 irradiation, the control sample (Ctrl, un-
treated, and non-irradiated cells) and positive control sample (Ctrl+, untreated, and irradiated
cells). DNA is marked with Hoechst 33258 (blue staining), while green staining evidenced the
phosphorylated histone γH2AX. Figure 4. Representative fluorescence microscopy images (100×) of HaCaT cells after treatment with
the product (5–10 mg/mL) and UVB 2.5 mJ/cm2 irradiation, the control sample (Ctrl, untreated,
and non-irradiated cells) and positive control sample (Ctrl+, untreated, and irradiated cells). DNA
is marked with Hoechst 33258 (blue staining), while green staining evidenced the phosphorylated
histone γH2AX. Table 6. γ-H2AX positive cells (± SD) expressed as a percentage in control and positive control
samples and after treatment with the product (n = 2, replicates = 2). Figure 4. Representative fluorescence microscopy images (100×) of HaCaT cells after treatment
with the product (5–10 mg/mL) and UVB 2.5 mJ/cm2 irradiation, the control sample (Ctrl, un-
treated, and non-irradiated cells) and positive control sample (Ctrl+, untreated, and irradiated
cells). DNA is marked with Hoechst 33258 (blue staining), while green staining evidenced the
phosphorylated histone γH2AX. Figure 4. Representative fluorescence microscopy images (100×) of HaCaT cells after treatment with
the product (5–10 mg/mL) and UVB 2.5 mJ/cm2 irradiation, the control sample (Ctrl, untreated,
and non-irradiated cells) and positive control sample (Ctrl+, untreated, and irradiated cells). DNA
is marked with Hoechst 33258 (blue staining), while green staining evidenced the phosphorylated
histone γH2AX. Table 6. γ-H2AX positive cells (± SD) expressed as a percentage in control and positive control
samples and after treatment with the product (n = 2, replicates = 2). Sample
γ-H2AX Positive Cells (%)
Ctrl
6.15 ± 2.82
Ctrl +
65.70 ± 2.51
C-SHOT SERUM (5 mg/mL)
49.87 ± 5.36
C-SHOT SERUM (10 mg/mL)
52.83 ± 11.40 Table 6. 3.2. Protection Against Ultraviolet (UV)B-Induced DNA Damage γ-H2AX positive cells (± SD) expressed as a percentage in control and positive control
samples and after treatment with the product (n = 2, replicates = 2). Sample
γ-H2AX Positive Cells (%)
Ctrl
6.15 ± 2.82
Ctrl +
65.70 ± 2.51
C-SHOT SERUM (5 mg/mL)
49.87 ± 5.36
C-SHOT SERUM (10 mg/mL)
52.83 ± 11.40 Table 6. γ-H2AX positive cells (± SD) expressed as a percentage in control and positive control
samples and after treatment with the product (n = 2, replicates = 2). Table 6. γ-H2AX positive cells (± SD) expressed as a percentage in control and positive control
samples and after treatment with the product (n = 2, replicates = 2). Sample
γ-H2AX Positive Cells (%)
Ctrl
6.15 ± 2.82
Ctrl +
65.70 ± 2.51
C-SHOT SERUM (5 mg/mL)
49.87 ± 5.36
C-SHOT SERUM (10 mg/mL)
52.83 ± 11.40 9 of 13 Life 2021, 11, 406 Figure 5. Quantification of γ-H2AX positive cells in control cells (Ctrl, untreated, and non-irradi-
ated), positive control (Ctrl +, untreated, and irradiated cells) and in samples treated with the se-
rum (5–10 mg/mL) (n = 2, replicates = 2) * p values ≤ 0.05 were considered statistically significant
compared to positive control cells; **** p values ≤ 0.0001 were considered statistically significant
compared to untreated cells. Figure 5. Quantification of γ-H2AX positive cells in control cells (Ctrl, untreated, and non-irradiated),
positive control (Ctrl +, untreated, and irradiated cells) and in samples treated with the serum
(5–10 mg/mL) (n = 2, replicates = 2) * p values ≤0.05 were considered statistically significant
compared to positive control cells; **** p values ≤0.0001 were considered statistically significant
compared to untreated cells. 10 of 14 Figure 5. Quantification of γ-H2AX positive cells in control cells (Ctrl, untreated, and non-irradi-
ated), positive control (Ctrl +, untreated, and irradiated cells) and in samples treated with the se-
um (5–10 mg/mL) (n = 2, replicates = 2) * p values ≤ 0.05 were considered statistically significant
ompared to positive control cells; **** p values ≤ 0.0001 were considered statistically significant
ompared to untreated cells. Figure 5. 3.2. Protection Against Ultraviolet (UV)B-Induced DNA Damage Quantification of γ-H2AX positive cells in control cells (Ctrl, untreated, and non-irradiated),
positive control (Ctrl +, untreated, and irradiated cells) and in samples treated with the serum
(5–10 mg/mL) (n = 2, replicates = 2) * p values ≤0.05 were considered statistically significant
compared to positive control cells; **** p values ≤0.0001 were considered statistically significant
compared to untreated cells. 10 of 14 Table 6. γ-H2AX positive cells (± SD) expressed as a percentage in control and positive control
samples and after treatment with the product (n = 2, replicates = 2). Sample
γ-H2AX Positive Cells (%)
Ctrl
6.15 ± 2.82
Ctrl +
65.70 ± 2.51
C-SHOT SERUM (5 mg/mL)
49.87 ± 5.36
C-SHOT SERUM (10 mg/mL)
52.83 ± 11.40
The obtained data highlighted that UVB radiations are a good stimulus to induce the
activation of H2AX histone: there was a significant difference between untreated and non-
The obtained data highlighted that UVB radiations are a good stimulus to induce
the activation of H2AX histone: there was a significant difference between untreated and
non-irradiated cells (Ctrl) and the positive control, untreated, and UV-irradiated cells
(Ctrl +) (p value **** ≤0.0001). Particularly, in the control sample the percentage of γ-
H2AX positive cells was 6.15%, while the positive control was equal to 65.70%, indicating
the efficacy of UVB stimulus. The lower tested concentration of the serum, 5 mg/mL,
determined a statistically significant reduction of γ-H2AX positive cells compared to the
positive control (p value * ≤0.05), equal to 24%, suggesting a protective effect against
UV-damage. There seems to be a reduction trend even with the higher concentration,
10 mg/mL, but it does not have a statistically significant result. irradiated cells (Ctrl) and the positive control, untreated, and UV-irradiated cells (Ctrl +)
(p value **** ≤ 0.0001). Particularly, in the control sample the percentage of γ-H2AX posi-
tive cells was 6.15%, while the positive control was equal to 65.70%, indicating the efficacy
of UVB stimulus. The lower tested concentration of the serum, 5 mg/mL, determined a
statistically significant reduction of γ-H2AX positive cells compared to the positive con-
trol (p value * ≤ 0.05), equal to 24%, suggesting a protective effect against UV-damage. There seems to be a reduction trend even with the higher concentration, 10 mg/mL, but it
does not have a statistically significant result. 3.3. Modulation of Collagen Synthesis
3.3. Modulation of Collagen Synthesis
C ll
th
i
tifi Collagen synthesis was quantified to evaluate anti-ageing cosmetic potential. To
perform this assay, human dermal fibroblasts (NHDF) were used and 1.25 and 2.5 mg/mL
were chosen as the highest non-cytotoxic concentrations with the best solubility in the
medium. Considering Figure 6 and Table 7, graphic and data are reported as a concentration
(µg/mL) with respect to untreated cells (Ctrl) on the NHDF cell line. A pre-treatment of
24 h with the tested serum induced a significant increase in collagen production of more
than 10 times with both tested concentrations, confirming the excellent capacity of this
cosmetic serum to contrast the natural and physiological skin-ageing effect. Collagen synthesis was quantified to evaluate anti-ageing cosmetic potential. To per-
form this assay, human dermal fibroblasts (NHDF) were used and 1.25 and 2.5 mg/mL
were chosen as the highest non-cytotoxic concentrations with the best solubility in the
medium. Considering Figure 6 and Table 7, graphic and data are reported as a concentra-
tion (μg/mL) with respect to untreated cells (Ctrl) on the NHDF cell line. A pre-treatment
of 24 h with the tested serum induced a significant increase in collagen production of more
than 10 times with both tested concentrations, confirming the excellent capacity of this
cosmetic serum to contrast the natural and physiological skin-ageing effect. Figure 6. Collagen levels (μg/mL) in a sample treated with the product compared to the control
(Ctrl, untreated cells) (n = 3, replicates = 2). *** p values ≤ 0.001 were considered statistically signifi-
cant compared to the control (untreated cells). Figure 6. Collagen levels (µg/mL) in a sample treated with the product compared to the control (Ctrl,
untreated cells) (n = 3, replicates = 2). *** p values ≤0.001 were considered statistically significant
compared to the control (untreated cells). Figure 6. Collagen levels (μg/mL) in a sample treated with the product compared to the control
(Ctrl, untreated cells) (n = 3, replicates = 2). *** p values ≤ 0.001 were considered statistically signifi-
cant compared to the control (untreated cells). Figure 6. Collagen levels (µg/mL) in a sample treated with the product compared to the control (Ctrl,
untreated cells) (n = 3, replicates = 2). *** p values ≤0.001 were considered statistically significant
compared to the control (untreated cells). Life 2021, 11, 406 10 of 13 10 of 13 Table 7. 3.3. Modulation of Collagen Synthesis
3.3. Modulation of Collagen Synthesis
C ll
th
i
tifi Cell viability expressed as a percentage compared to negative control (Ctrl −, cells treated with
DPBS) following daily treatment (4 days) of the RHPE inserts with the serum (n = 1, replicates = 4). with DPBS) following daily treatment (4 days) of the RHPE inserts with the serum (n = 1, repli-
cates = 4). cates = 4). Melanin content was quantified and data are reported in Figure 8 and Table 8 as mel-
anin content in µg/mL compared to the negative control (Ctrl −). The melanin amount in
the control inserts was equal to 20.02 μg/mL, while in treated inserts it was reduced to
16 60 μg/mL with a highly significant decrease equal to 17 10% Statistical analysis was
Melanin content was quantified and data are reported in Figure 8 and Table 8 as
melanin content in µg/mL compared to the negative control (Ctrl −). The melanin amount
in the control inserts was equal to 20.02 µg/mL, while in treated inserts it was reduced to
16.60 µg/mL, with a highly significant decrease equal to 17.10%. Statistical analysis was
calculated using the Student’s t-test. Melanin content was quantified and data are reported in Figure 8 and Table 8 as mel-
anin content in µg/mL compared to the negative control (Ctrl −). The melanin amount in
the control inserts was equal to 20.02 μg/mL, while in treated inserts it was reduced to
16.60 μg/mL, with a highly significant decrease equal to 17.10%. Statistical analysis was
calculated using the Student’s t-test. 16.60 μg/mL, with a highly significant decrease equal to 17.10%. Statistical analysis was
calculated using the Student’s t-test. Figure 8. Melanin content (μg/mL) evaluated after four days of serum treatment of the tanned
epidermis inserts compared to the untreated ones (negative control Ctrl ) (n = 1 replicates = 4) **
Figure 8. Melanin content (μg/mL) evaluated after four days of serum treatment of the tanned
epidermis inserts compared to the untreated ones (negative control, Ctrl −) (n = 1, replicates = 4). **
p values ≤ 0.01 were considered statistically significant compared to untreated cells. Figure 8. Melanin content (µg/mL) evaluated after four days of serum treatment of the tanned
epidermis inserts compared to the untreated ones (negative control, Ctrl −) (n = 1, replicates = 4). ** p values ≤0.01 were considered statistically significant compared to untreated cells. Figure 8. 3.3. Modulation of Collagen Synthesis
3.3. Modulation of Collagen Synthesis
C ll
th
i
tifi Collagen levels expressed as a concentration (± SD) measured after treatment with tested
product (n = 3, replicates = 2). Sample
Collagen Levels (µg/mL)
Ctrl
0.08 ± 0.01
C-SHOT SERUM (1.25 mg/mL)
0.99 ± 0.09
C-SHOT SERUM (2.5 mg/mL)
1.24 ± 0.12 0.08 ± 0.01
0.99 ± 0.09
1.24 ± 0.12 3.4. Evaluation of Melanin Content on Reconstructed Human Pigmented Epidermis (RHPE) The depigmenting activity was tested on the RHPE model on which the viability and
content of extracted melanin, after repeated treatment of 4 days with the tested product,
was investigated. Considering the obtained results by the analysis of tissue viability, the
serum did not show any negative effect on viability, with a percentage greater than 80%
compared to the negative control (Ctrl −), treated with Dulbecco Phosphate Buffer Saline
(DPBS) (Figure 7). Even in the case with the RHE, 50% was the threshold above which
viability was acceptable, according to ISO 10993-10:2010 [26]. 11 of 14
11 of 14 Figure 7. Cell viability expressed as a percentage compared to negative control (Ctrl −, cells treated
with DPBS) following daily treatment (4 days) of the RHPE inserts with the serum (n = 1, repli-
Figure 7. Cell viability expressed as a percentage compared to negative control (Ctrl −, cells treated with
DPBS) following daily treatment (4 days) of the RHPE inserts with the serum (n = 1, replicates = 4). Figure 7. Cell viability expressed as a percentage compared to negative control (Ctrl −, cells treated
with DPBS) following daily treatment (4 days) of the RHPE inserts with the serum (n = 1, repli-
cates = 4). Figure 7. Cell viability expressed as a percentage compared to negative control (Ctrl −, cells treated
with DPBS) following daily treatment (4 days) of the RHPE inserts with the serum (n = 1, repli-
Figure 7. Cell viability expressed as a percentage compared to negative control (Ctrl −, cells treated with
DPBS) following daily treatment (4 days) of the RHPE inserts with the serum (n = 1, replicates = 4). with DPBS) following daily treatment (4 days) of the RHPE inserts with the serum (n = 1, repli-
cates = 4). Figure 7. Cell viability expressed as a percentage compared to negative control (Ctrl −, cells treated
with DPBS) following daily treatment (4 days) of the RHPE inserts with the serum (n = 1, repli-
Figure 7. 4. Discussion Improvement in life expectancy results in increased functional cosmetic production,
with the purpose of preventing the signs of ageing and keeping a healthy appearance. Skin-ageing is associated with deep wrinkles, loss of skin tone and elasticity, irregular
pigmentation, and reduction in the thickness of the epidermis and dermis. Taking a
molecular point of view, ageing is due to cumulative internal and external, structural and
physiological alterations via genetics, light radiation exposure, marked loss of fibrillin-
positive structures, and a reduced content of collagen fibers. Fibroblasts, which are the
typical cells of the dermis, provide tensile strength and elasticity through the production
and secretion of various components of the extracellular matrix (ECM). Collagen is one
of these main components and is also the most abundant protein within the body, able
to provide not only tensile strength but also cell adhesion and migration. The molecular
knowledge of these biological events allows the formulation of functional innovative
cosmetic products active on these, promoting an anti-ageing effect. p
p
g
g
g
During this study, we investigated the cosmetic C-SHOT SERUM’s (Matex Lab SpA,
Via Carlo Urbani 2, ang Enrico Fermi, Brindisi, Italy) ability to prevent skin-ageing through
in vitro tests and 3D cell culture systems. Most in vitro models are based on a monolayer
of one kind of cell line. This system shows some disadvantages because, in the in vivo
environment, different cell types interact with each other within the extracellular matrix
(ECM). It may be difficult to assess the actual activity of a substance only based on a cell
monolayer without considering the complexity of a biological model such as the human
skin. However, combining different assays can improve the effectiveness of in vitro models,
and they could be a good and cost-efficient starting point. Moreover, to support the 2D
model analyses performed, we decided to test the product also using an innovative system
like 3D cell cultures, which represent a much more accurate microenvironment allowing us
to mimic more closely the in vivo skin tissue [27,28]. The serum contains a high concentration of vitamin C, in particular its derivative
3-O-ethyl-L-ascorbic acid (3OAA) (30%) and lactic acid (1%), with a pH equal to 3.82 that
allows good penetration and efficacy of these functional ingredients [17,20]. 3.3. Modulation of Collagen Synthesis
3.3. Modulation of Collagen Synthesis
C ll
th
i
tifi Melanin content (μg/mL) evaluated after four days of serum treatment of the tanned
Figure 8. Melanin content (μg/mL) evaluated after four days of serum treatment of the tanned
epidermis inserts compared to the untreated ones (negative control, Ctrl −) (n = 1, replicates = 4). **
p values ≤ 0.01 were considered statistically significant compared to untreated cells. Figure 8. Melanin content (µg/mL) evaluated after four days of serum treatment of the tanned
epidermis inserts compared to the untreated ones (negative control, Ctrl −) (n = 1, replicates = 4). ** p values ≤0.01 were considered statistically significant compared to untreated cells. Life 2021, 11, 406 11 of 13 11 of 13 Table 8. Melanin quantification, expressed as µg/mL and percentage, after treatment (daily treatment for
four days) of the RHPE inserts with the tested product. Negative control (Ctrl −) (n = 1, replicates = 4). Sample
Melanin Content
(µg/mL)
Melanin Content
(%)
Reduction
(%)
Ctrl −
20.02 ± 1.43
100.00 ± 8.03
-
C-SHOT SERUM
16.60 ± 1.92
82.89 ± 9.57
−17.10
4 Discussion Table 8. Melanin quantification, expressed as µg/mL and percentage, after treatment (daily treatment for
four days) of the RHPE inserts with the tested product. Negative control (Ctrl −) (n = 1, replicates = 4). Sample
Melanin Content
(µg/mL)
Melanin Content
(%)
Reduction
(%)
Ctrl −
20.02 ± 1.43
100.00 ± 8.03
-
C-SHOT SERUM
16.60 ± 1.92
82.89 ± 9.57
−17.10 4. Discussion Since, with
ageing, the pH of the skin increases to around 6.0, skin care products with a low pH
in the range of 3.5–4.0 normalizes the epidermal barrier function [29]. Biocompatibility
is the first property of a cosmetic that must be evaluated. During our study, it was
assessed through a conventional in vitro assay (MTT test) and with a 3D model to study
the skin irritation potential on a model closer to in vivo skin tissue. The serum showed
an excellent biocompatibility, the starting point for evaluating further beneficial effects
of the formulation. Vitamin C, contained in the product as a functional ingredient, is an
antioxidant biomolecule that protects skin cells from oxidative damage after exposure to
ultraviolet (UV) rays; it shows a proven skin anti-ageing effect for its ability to induce
the production of collagen (Col)-1 and Col-3 (enhancer of collagen production), and the
inhibition the collagenase 1 [13,16]. Extrinsic factors, especially UV radiation, are responsible for most age-related changes
in skin appearance, producing free radicals, degrading collagen and elastin fibers, and
inducing DNA damage. Therefore, the photo-protective activity from UVB rays and
collagen synthesis stimulation were analyzed. The effect of UVB rays on the DNA damage
of skin cells was evaluated in association with a pre-treatment of the product to investigate
a photoprotective effect. The phosphorylation of histone H2AX (γ-H2AX) is a direct index Life 2021, 11, 406 12 of 13 12 of 13 of DNA molecular lesion [30] and it plays an important role in the DNA repair process. Therefore, damage to the keratinocytes’ DNA was determined by an immunofluorescence
analysis of γ-H2AX positive cells. The results showed a potential photoprotective effect on
skin cells using the lower tested concentration of 5 mg/mL: fewer γ-H2AX positive cells
than the untreated control were counted through fluorescence microscopy, with a reduction
in the percentage equal to 24%. The collagen assay showed a promising anti-ageing effect of
the cosmetic product. The ability to promote collagen production was evaluated and shown
after 24 h of treatment, with both tested concentrations and a dose-dependent increase in
collagen content equal to 1078% and 1115%, respectively, compared to untreated cells. g
q
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y
p
Along with wrinkles, pigmentary changes are associated with premature photo-ageing
and are its evident cutaneous manifestations. 4. Discussion The whitening power of this serum, enriched
with 30% of 3-O-ethyl-L-ascorbic acid in combination with 1% of lactic acid, were evaluated
on reconstructed human pigmented epidermis (EPISKIN Laboratories, France). After
repeated treatment for 4 days, there was a statistical reduction in the melanin content
of 15.52% compared to a reference negative control. These results demonstrate another
beneficial effect of this cosmetic product in association with its high biocompatibility,
photoprotection, and collagen enhancing production, making the formulation useful to
prevent skin modifications, ageing-related, overall. p
g
g
To conclude, our study represents a promising starting point for the evaluation of
C-SHOT SERUM effectiveness using different analytical approaches based on monolayer
and 3D cell models. Nevertheless, further in vivo investigations will be useful for a more
suitable and careful evaluation of the biological serum activity to obtain a predictive index
of the in vitro data respecting the in vivo real effect of the serum. Author Contributions: Conceptualization, S.S., C.M. and R.M.; methodology, S.S., C.M. and R.M.;
formal analysis, M.C.C. and S.D.F.; investigation, S.S., S.D.F. and M.C.C.; data curation, S.S., C.M. and R.M.; writing—original draft preparation, S.D.F. and M.C.C.; writing—review and editing, S.S. and R.M.; visualization, R.R., M.H., P.L.B. and S.G.; supervision, N.Z.; project administration, N.Z. and R.M. All authors have read and agreed to the published version of the manuscript. Funding: This research was funded by Matex Lab S.p.A., Via C. Urbani 2, ang. Via E. F, Brindisi, Italy. Funding: This research was funded by Matex Lab S.p.A., Via C. Urbani 2, ang. Via E. F, Brindisi, Italy. Institutional Review Board Statement: Not applicable Funding: This research was funded by Matex Lab S.p.A., Via C. Urbani 2, ang. Via E. F, Brindisi, Italy. Institutional Review Board Statement: Not applicable. Institutional Review Board Statement: Not applicable. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: Data are included in the text; raw data are available from the corre-
sponding author. Data Availability Statement: Data are included in the text; raw data are available from the corre-
sponding author. Conflicts of Interest: N.Z. is the Scientific Director of Matex Lab. The authors declare no other
conflicts of interest. Conflicts of Interest: N.Z. is the Scientific Director of Matex Lab. The authors declare no other
conflicts of interest. 6.
Nisticò, S.P.; Tolone, M.; Zingoni, T.; Tamburi, F.; Scali, E.; Bennardo, L.; Cannarozzo, G. A New 675 nm Laser Device in the
Treatment of Melasma: Results of a Prospective Observational Study. Photomed. Laser Surg. 2020, 38, 1–5. [CrossRef] 8.
Vermeer, B.J.; Gilchrest, B.A. A proposal for rational definition, evaluation, and regulation. Arch Dermatol. 1996, 132, 337–340.
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metalloproteinase 1 in the human dermis. J. Investig. Dermatol. 2001, 116, 853–859. [CrossRef] [PubMed] 12. Haftek, M.; Mac-Mary, S.; le Bitoux, M.; Creidi, P.; Seité, S.; Rougier, A.; Humbert, P. Clinical, biometric and structural evaluation
of the long-term effects of a topical treatment with ascorbic acid and madecassoside in photoaged human skin. Exp. Dermatol. 2008, 17, 946–952. [CrossRef] 13. 30.
Sun, Y.; Wang, P.; Li, H.; Dai, J. BMAL1 and CLOCK proteins in regulating UVB-induced apoptosis and DNA damage responses
in human keratinocytes. J. Cell Physiol. 2018, 233, 9563–9574. [CrossRef] References Assessment of the skin irritation potential of chemicals by using the SkinEthic reconstructed human epidermal model
and the common skin irritation protocol evaluated in the ECVAM skin irritation validation study. Altern. Lab. Anim. 2006, 34,
393–406. [CrossRef] [PubMed] 23. Kandárová, H.; Liebsch, M.; Spielmann, H.; Genschow, E.; Schmidt, E.; Traue, D.; Guest, R.; Whittingham, A.; Warren, N.; Gamer,
A.O.; et al. Assessment of the human epidermis model SkinEthic RHE for in vitro skin corrosion testing of chemicals according to
new OECD TG 431. Toxicol. In Vitro 2006, 20, 547–559. [CrossRef] [PubMed] 24. Rosdy, M.; Clauss, L.C. Terminal epidermal differentiation of human keratinocytes grown in chemically defined medium on inert
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Salsa a base de zarzamora (Rubus fruticosus) como potencial alimento funcional
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Salsa a base de zarzamora (Rubus fruticosus) como potencial alimento funcional
Blackberry sauce (Rubus fruticosus) like a potential functional food.
Ceballos-Luna Oscar1, Morales-Sotelo Rogelio1, López-Márquez Alex Amir1, Grapain-López Orquídea1, GarcíaGutiérrez Emmanuel1, Sedeño-Mota Juan Carlos1, Álvarez Campos Edith2, Lozada García José Armando1
1
Facultad de Biología Xalapa, Universidad Veracruzana. Circuito Universitario Gonzalo Aguirre Beltrán s/n,
Col. Zona Universitaria, Xalapa, Veracruz C.P. 91000
2
Unidad de Capacitación para el Desarrollo Rural No. 2 Tlanalapa s/n Col. Los Carriles, Coatepec, Veracruz,
México. C.P. 91500
Autor de correspondencia: alozada@uv.mx
Recibido: 13/07/2018
Aceptado: 12/09/2018
RESUMEN
La zarzamora (Rubus fruticosus) es una rosácea comestible cultivada en la microrregión de Coyopolan
municipio de Ixhuacán de los Reyes, Veracruz, México. Esta fruta es importante en esta localidad ya que
es utilizada en la elaboración de una variedad de productos artesanales, entre los que destacan el licor de
zarzamora y mermelada. Algunos de estos productos además de ser un aporte económico para los
habitantes, proporcionan un beneficio a la salud por sus componentes como los compuestos fenólicos
que actúan como antioxidantes naturales. En este sentido el presente trabajo tuvo como objetivo elaborar
una salsa como potencial alimento funcional teniendo como ingrediente principal la zarzamora y una
variedad local de chile, llamado “tabaquero”; a estas salsas se les evaluó su calidad nutricional, la
presencia de microorganismos a través de pruebas como coliformes totales, conteo de bacterias aerobias
en placa y conteo de mohos y levaduras en alimentos, posteriormente se cuantificaronlos flavonoides,
fenoles y antocianinas totales, así como también su actividad antioxidante. Como resultado se obtuvieron
tres tipos de salsa, en las que se determinó que no hay presencia de microorganismos, las pruebas de
calidad nutrimental indicaron que tienen buenos valores y respecto a la funcionalidad se observó que, en
comparación con el fruto fresco se mantuvo la actividad antioxidante aún después del proceso. Por lo
que concluimos que los productos cuentan con valores apropiados para considerarlos como potenciales
alimentos funcionales.
Palabras clave: alimento funcional, antioxidante, zarzamora, flavonoides.
ABSTRACT
The blackberry (Rubus fruticosus) is an edible rosacea grown in the microregion of Coyopolan at
Ixhuacán de los Reyes, Veracruz, México. This one is important in the region since it is used in the
Revista Científica Biológico Agropecuaria Tuxpan 6 (Especial)
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Ceballos–Luna et al., 2018
elaboration of a big variety of products, among which stand out the liquor of blackberry and jam. Some
products in addition to be the economic sustenance for the habitants of the region, has health benefits
from some components such as phenolic compounds that act as natural antioxidants. In this job has the
objective of develop a sauce as a functional food having as principal ingredient blackberrys, also using a
local variety of chili, called "tabaquero chili", and this sauce was evaluated their nutritional quality, the
presence of total coliforms, quantification of flavonoids, phenols, anthocyanins and antioxidant activity.
Three types of sauce were obtained, from which it was determined that there is not presence of total
coliforms in the sauces, the nutritional quality tests indicate that they have a low contribution in high
density lipids (bad cholesterol) and the functionality is observed that the product and the three sauces in
comparison maintains an activity antioxidant. So we conclude that the product has the appropriate values
to consider it a functional food.
Keywords: functional food, antioxidant, blackberry, flavonoids.
INTRODUCCIÓN
MATERIALES Y MÉTODOS
La tendencia mundial busca en los alimentos la
contribución de ciertos bioactivos que sean
capaces de ejercer alguna acción beneficiosa al
consumidor; estos aspectos son los que se
buscan en los llamados “alimentos funcionales”,
productos nutracéuticos o farmalimentos (Bello,
1995; Aranceta et al., 2003). En los últimos años
el interés por estos productos ha incrementado su
demanda, principalmente por las propiedades
antioxidantes con las que cuentan, entre éstos se
encuentran los frutos rojos o “berrys” (Coronado
et al., 2014).
Se elaboraron tres salsas a base de Zarzamora
(Rubus fruticosus) y una variedad de chile local
conocida como “Tabaquero”, la primera de estas
era dulce, la segunda salada y la tercera salada
condimentada con hoja de acuyo (Piper
auritum). Todas las salsas fueron pasteurizadas y
guardadas al vacío.
Uno de los frutos rojos que contienen altos
niveles
de
antioxidantes,
flavonoides,
antocianinas y taninos son las especies de Rubus
(De Carvalho et al., 2010), es por ello que el
objetivo del presente estudio fue incorporar estos
metabolitos secundarios con actividad biológica
en productos innovadores con características de
alimento funcional, con la finalidad de apoyar a
los productores de la microrregión de
Coyopolan, municipio de Ixhuacán de los Reyes,
Veracruz, México.
Una vez obtenida la salsa base que contenía 30
gr de azúcar y 20 gr de sal, se pasteurizó y se
dividió en tres porciones iguales, las cuales
correspondierona cada uno de los tres tipos de
salsas, la primera porción se le agregó más
azúcar adicionándole 110 gr, a la segunda se le
agregó 10 gr de sal y finalmente a la tercera se le
incorporó un triturado de una hoja asada de Piper
auritum pesando aproximadamente 25 gr,
además de 5 gr de sal.
Calidad Alimenticia y Microbiológica
Se evaluaron parámetros de calidad nutrimental
con pruebas como contenido de grasas,
humedad, pH, acidez, cenizas y azúcares bajo los
estándares internacionles de la AOAC
(Asociación de Químicos Analíticos Oficiales,
2015). La cantidad de proteína total se determinó
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Ceballos–Luna et al., 2018
mediante el método de Biuret (Coutiño et al.,
2015 Horwitz, 1990). Para el caso de los
parámetros microbiológicos se realizazon con
base en las Normas Oficiales Mexicanas:NOM113-SSA1-1994, NOM-111-SSA1-1994 y
NOM-092-SSA1-1994.
Determinacion de flavonoides, fenoles,
antocianinas totales y actividad antioxidante
Se realizaron pruebas para determinar el
contenido de estos compuestos en frutos frescos
y en las salsas, mediante técnicas
espectrofotométricas como reducción de AlCl3,
Folin & Ciocalteun y pH diferencial (PyrkoszBiardzka et al., 2014, Palomino et al., 2009). La
actividad antioxidante se calculó mediante el
método de reducción de Molibdato (Moncada et
al., 2012).
RESULTADOS Y DISCUSIÓN
Como se observa en la tabla 1, las salsas
mostraron tener baja cantidad de grasa por cada
muestra de 100 gr, la humedad contenida es de
aproximadamente 50 a 60 %, las proteínas
totales oscilan entre el 7 y 9%. Los azúcares
totales variaron en las salsas, siendo la salsa
dulce la de mayor cantidad en porcentaje. En lo
que respecta a la acidez del producto, fue menor
al 1%, lo que indica que es ligeramente acida al
paladar. Finalmente, para el caso del pH, el
promedio fue de tres.
Tabla 1. Información nutrimental y microbiológica de las salsas de Zarzamora.
Dulce
Salada
Salsa con Acuyo
Grasas
0.4313gr
0.1896gr
0.0993gr
Humedad
59%
51%
49%
pH
3.02
2.8
2.89
Acidez
1%
1%
1%
Cenizas
38%
18%
15%
Proteínas
8%
9%
7%
Azúcares
50%
36%
40%
NOM-092-SSA1-1994
2 UFC
2 UFC
5 UFC
NOM-113-SSA1-1994
0 UFC
0 UFC
0 UFC
NOM-111-SSA1-1994
0 UFM
0 UFM
0 UFM
En cuanto al contenido de microorganismos
anaerobios se encontró mayor presencia en la
salsa de acuyo con un promedio de 5 UFC, de
acuerdo a la NOM-092-SSA1-1994, estos se
encuentran dentro de los valores de aceptación,
para coliformes totales no hubo presencia a las
24 h de incubación, en el caso de mohos y
levaduras se encontraron por debajo de los
parámetros mínimos permicibles, por lo cual se
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Ceballos–Luna et al., 2018
consideran libres de estos microorganismos
(NOM-092, NOM-111, NOM-113, 1994).
Actividad antioxidante y compuestos fenólicos
En cuanto a los flavonoides totales, el fruto
fresco y la salsa salada, presentaron una
concentración promedio de 0.41 mg EQ
(Equivalentes de Quercetina), lo cual sugiere
que éstos permanecen después del proceso de
elaboración. La salsa dulce presentó mayor
contenido de flavonoides totales, y triplicó el
contenido de estos polifenoles en comparación
con el fruto fresco. La presencia de flavonoides
como la quercetina sugirió que puede tener
beneficios a la salud previniendo diversos tipos
de enfermedades crónico-degenerativas por su
actividad antioxidante (Knekt et al., 2002;
Geleijnse et al., 2002).
En cuanto a las antocianinas totales (fruto fresco,
salsas salada, dulce y con acuyo) presentaron un
bajo contenido entre 0.004-0.009 de mg
equivalentes Cianidina3-O-glucósido. Los
fenoles fueron los únicos compuestos que no se
pudieron determinar en ninguna de las muestras,
esto se debe a que se encuentran en cantidades
mínimas.
Respecto a la actividad antioxidante que
hayentre el fruto fresco, las salsas dulce y salada,
los resultados muestran que esta característica se
mantiene aún después del proceso de
elaboración (Tabla 2). Por otra parte, cabe
resaltar que la salsa con acuyo tuvo mayor
actividad antioxidante, esto puede deberse a que
esta planta aporta moléculas con esta
característica, mostrando un alto contenido en
compuestos fenólicos (García et al., 2002).
Tabla 2. Contenido de compuestos fenólicos y actividad antioxidante.
Compuestos Fenólicos cuantificados /Prueba
Antocianinas
Flavonoides
Fenoles
Reducción de ClAl3
Folin&Ciocalteun
(mg EQ)
(mg EAT)
(mg = cyanidin 3-Oglucoside
Fruto fresco
0.36
0
0.004
1.62
Salsa dulce
1.31
0
0.009
1.64
Salsa salada
.0.47
0
0.009
1.39
Salsa con
acuyo
0.21
0
0.006
5.59
Muestra
pH diferencial
Actividad antioxidante
(reducción de
molibdato)
EQ: Equivalentes a Quercetina, EAT= Equivalentes a Ácido Tánico
CONCLUSIÓN
Se puede inferir que las salsas son un producto
innovador ya que pueden ser consideradas un
potencial alimento funcional, además de contar
con valores nutrimentales aceptables y
estándares microbiológicos dentro de las normas
oficiales mexicanas. Por otra parte se le
incorporaron compuestos fenólicos de la
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Ceballos–Luna et al., 2018
zarzamora, como son los flavonoides y las
antocianinas los cuales son benefiosos para la
salud humana, además de que muestran
actividad antioxidante significativa, en especial
la salsa que contiene acuyo.
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|
English
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STELLA—Potential European contributions to a NASA-led interstellar probe
|
Frontiers in astronomy and space sciences
| 2,022
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cc-by
| 9,062
|
To cite this version: Robert F. Wimmer-Schweingruber, Nicolas André, Stanislav Barabash, Pontus C Brandt, Timothy
S Horbury, et al.. STELLA-Potential European contributions to a NASA-led interstellar probe. Frontiers in Astronomy and Space Sciences, 2022, 9, pp.1063849. 10.3389/fspas.2022.1063849. hal-
04131965 STELLA-Potential European contributions to a
NASA-led interstellar probe
Robert F. Wimmer-Schweingruber, Nicolas André, Stanislav Barabash,
Pontus C Brandt, Timothy S Horbury, Luciano Iess, Benoit Lavraud, Ralph L
Mcnutt, Elena A Provornikova, Eric Quémerais, et al.
To cite this version:
Robert F. Wimmer-Schweingruber, Nicolas André, Stanislav Barabash, Pontus C Brandt, Timothy
S Horbury, et al..
STELLA-Potential European contributions to a NASA-led interstellar probe.
Frontiers in Astronomy and Space Sciences, 2022, 9, pp.1063849. 10.3389/fspas.2022.1063849. hal-
04131965 Robert F. Wimmer-Schweingruber, Nicolas André, Stanislav Barabash,
Pontus C Brandt, Timothy S Horbury, Luciano Iess, Benoit Lavraud, Ralph L
Mcnutt, Elena A Provornikova, Eric Quémerais, et al. Robert F. Wimmer-Schweingruber1*, Nicolas André2,
Stanislav Barabash3, Pontus C. Brandt4, Timothy S. Horbury5,
Luciano Iess6, Benoit Lavraud7, Ralph L. McNutt Jr4,
Elena A. Provornikova4, Eric Quémerais8, Robert Wicks9,
Martin Wieser3 and Peter Wurz10 1Extraterrestrial Physics, Institute of Experimental & Applied Physics, Christian-Albrechts-University
Kiel, Kiel, Germany, 2Institut de Recherche en Astrophysique et Planétologie, UPS, CNES, Université
de Toulouse, Toulouse, France, 3Swedish Institute od Space Phyics, Kiruna, Sweden, 4Applied
Physics Laboratory, Johns Hopkins University, Laurel, MD, United States, 5Department of Physics,
Faculty of Natural Sciences, Space and Atmospheric Physics Group, Imperial College, London,
United Kingdom, 6Department of Mechanical and Aerospace Engineering, Sapienza University of
Rome, Rome, Italy, 7Laboratoire d’astrophysique de Bordeaux, University Bordeaux, Pessac, France,
8Héliosphère, Exosphéres Planétaires, Plasmas et Interfaces, Laboratoire Atmosphères,
Observations Spatiales, Guyancourt, France, 9Department of Mathematics, Physics and Electrical
Engineering, Northumbria University, Newcastle upon Tyne, United Kingdom, 10Space Physics and
Planetary Sciences, Physics Institute, Faculty of Science, University of Bern, Bern, Switzerland Wimmer-Schweingruber RF, André N,
Barabash S, Brandt PC, Horbury TS, Iess L,
Lavraud B, McNutt RL Jr, Provornikova EA,
Quémerais E, Wicks R, Wieser M and Wurz
P (2022), STELLA—Potential European
contributions to a NASA-led interstellar
probe. The discovery of a myriad of exoplanets in the past decades has revolutionized
the understanding of our place in the Universe. How different are exoplants
and do some of them harbor life, just like Earth? To do so, their parent
stars must drive a stellar wind and carve what we call astrospheres into
the surrounding interstellar medium. Astrospheres are ubiquitous in our
immediate neighborhood and show similar structure to our heliosphere. Voyager 1 and 2, Ulysses, Cassini, and IBEX have shown that the interaction
between interstellar medium and solar wind is much more complex and
involved than previously believed. This stellar-interstellar interaction is key
to understand astrospheres and the shielding they provide to the planetary
systems they harbor. This article summarizes a whitepaper that was submitted
to NASA’s 2023/2024 decadal survey which is being conducted by the US
National Academies. It is based in parts on a proposal submitted to the
European Space Agency (ESA) in response to its 2021 call for medium-class
mission proposals. The whitepaper and this article propose to study the
interaction described above in situ at the heliospheric boundaries and to
explore the very local interstellar medium beyond. Furthermore, they highlight
possible European contributions to a NASA-led Interstellar Probe (ISP). Front. Astron. Space Sci. 9:1063849. doi: 10.3389/fspas.2022.1063849 © 2022 Wimmer-Schweingruber, André,
Barabash, Brandt, Horbury, Iess, Lavraud,
McNutt, Provornikova, Quémerais, Wicks,
Wieser and Wurz. HAL Id: hal-04131965
https://hal.science/hal-04131965v1
Submitted on 17 Jun 2023 L’archive ouverte pluridisciplinaire HAL, est
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PUBLISHED 17 November 2022
DOI 10.3389/fspas.2022.1063849 mission proposal, interstellar probe, space science, solar system, very local interstellar medium,
fundamental physics STELLA—Potential European
contributions to a NASA-led
interstellar probe OPEN ACCESS
EDITED BY
Francesco Malara,
University of Calabria, Italy
REVIEWED BY
Federico Fraternale,
University of Alabama in Huntsville, United
States
Lennard Fisk,
University of Michigan, United States
*CORRESPONDENCE
Robert F. Wimmer-Schweingruber,
wimmer@physik.uni-kiel.de
SPECIALTY SECTION
This article was submitted to Space
Physics, a section of the journal Frontiers
in Astronomy and Space Sciences
RECEIVED 07 October 2022
ACCEPTED 26 October 2022
PUBLISHED 17 November 2022
CITATION
Wimmer-Schweingruber RF, André N,
Barabash S, Brandt PC, Horbury TS, Iess L,
Lavraud B, McNutt RL Jr, Provornikova EA,
Quémerais E, Wicks R, Wieser M and Wurz
P (2022), STELLA—Potential European
contributions to a NASA-led interstellar
probe. OPEN ACCESS
EDITED BY
Francesco Malara,
University of Calabria, Italy
REVIEWED BY
Federico Fraternale,
University of Alabama in Huntsville, United
States
Lennard Fisk,
University of Michigan, United States
*CORRESPONDENCE
Robert F. Wimmer-Schweingruber,
wimmer@physik.uni-kiel.de
SPECIALTY SECTION
This article was submitted to Space
Physics, a section of the journal Frontiers
in Astronomy and Space Sciences Robert F. Wimmer-Schweingruber1*, Nicolas André2,
Stanislav Barabash3, Pontus C. Brandt4, Timothy S. Horbury5,
Luciano Iess6, Benoit Lavraud7, Ralph L. McNutt Jr4,
Elena A. Provornikova4, Eric Quémerais8, Robert Wicks9,
Martin Wieser3 and Peter Wurz10 Frontiers in Astronomy and Space Sciences 1 Introduction A substantial amount of work has been performed in the
past decades that has shown that an interstellar probe (ISP)
is today a feasible, timely, and compelling mission that would
enable humanity’s journey to interstellar space. A 498-page study
led by the Johns Hopkins University (JHU)/Applied Physics
Laboratory (APL) provides a detailed account of the science
goals and questions, the mission concept, scientific and technical
implementation, as well as programmatics and concepts for the
managements of such a 50-year mission (McNutt et al., 2021). The white paper reported here draws heavily from that study, as
well as from white papers submitted previously to the European
Space
Agency
(ESA)
(Wimmer-Schweingruber et al., 2009;
Wimmer-Schweingruber, 2013; Wimmer-Schweingruber, 2019)
in response to its Cosmic Vision and Voyage 2050 calls for
proposals, and the STELLA proposal submitted to ESA’s 13
December 2021 call for a medium-size mission opportunity
(Barabash and Wimmer-Schweingruber, 2022). In line with
the JHU/APL study, STELLA is a proposal for a substantial
European contribtion to a NASA-led Interstellar Probe (ISP) that
would reach 350 au after 50 years (Brandt et al., 2022). Here we
highlight possible European contributions to such a NASA-led
mission as well as the science questions that could be addressed
by such a contribution. Today there is a growing awareness of the significance of
the physics of the outer heliosphere. Its understanding helps to
clarify the structure of our immediate interstellar neighborhood,
contributes to the clarification of fundamental astrophysical
processes like the acceleration of charged particles at a stellar
wind termination shock and beyond, and also sheds light on
the question to what extent interstellar-terrestrial relations are
important for the environment of Earth and exoplanets. Even with the growing knowledge about the heliosphere
provided by space missions, its global shape and dimensions
remain
a
highly
contested
topic
(Dialynas et al., 2017;
Pogorelov et al., 2017; Schwadron and Bzowski, 2018). Most
critically, the total plasma pressure in the heliosheath as a
function of time and the relative importance of the various
plasma populations (in particular at low energies < 200 eV)
are only poorly constrained with present-day observations
(Galli et al., 2017; Zirnstein et al., 2018). Attempts to explain consistently the known observations
are currently roiled in controversy, with no clear trend
towards a consensus (McNutt et al., 2021). Robert F. Wimmer-Schweingruber1*, Nicolas André2,
Stanislav Barabash3, Pontus C. Brandt4, Timothy S. Horbury5,
Luciano Iess6, Benoit Lavraud7, Ralph L. McNutt Jr4,
Elena A. Provornikova4, Eric Quémerais8, Robert Wicks9,
Martin Wieser3 and Peter Wurz10 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. KEYWORDS 01 frontiersin.org Frontiers in Astronomy and Space Sciences Wimmer-Schweingruber et al. 10.3389/fspas.2022.1063849 10.3389/fspas.2022.1063849 TQ1:
How is our heliosphere upheld by the physical processes from the Sun to the Very Local Interstellar Medium (VLISM)?
TQ2:
How do the Sun’s activity as well as the interstellar medium and its possible inhomogeneity influence the dynamics and evolution of the global heliosphere?
TQ3:
How do the current VLISM properties inform our understanding of the evolutionary path of the heliosphere? TABLE 1 ISP top-level science questions (McNutt et al., 2021). Scientific Requirements (Section 2.3)
Stella Objective: Determine the (isotopic) composition of the GCR; determine
Cosmic Ray Spectrometer (C Cosmic Ray Spectrometer (CRS): Large geometry factor (> 2
cm2 sr); mass resolution ∼0.1 amu; multiple viewing directions;
measurements of the magnetic field
European heritage: RAD on Mars Science Laboratory, EPD HET
on Solar Orbiter, AHEPaM on Athena Cosmic Ray Spectrometer (CRS): Large geometry factor (> 2
cm2 sr); mass resolution ∼0.1 amu; multiple viewing directions;
measurements of the magnetic field
E
h i
RAD
M
S i
L b
EPD HET i
European heritage: RAD on Mars Science Laboratory, EPD HET
on Solar Orbiter, AHEPaM on Athena P Science Objective: Understand the filtration as the VLISM passes the heliospheric boundaries and processes responsible for structuring the VLISM
he heliospheric interface (the Hydrogen wall) and beyond ISP Science Objective: Understand the filtration as the VLISM passes the heliospheric boundaries and processes responsible for structuring the VLISM
at the heliospheric interface (the Hydrogen wall) and beyond
Stella Science Requirement Q4: How does the local interstellar medium become structured when it meets the heliosphere? (Section 2.4)
Stella Objective: Determine hydrogen populations properties, number density
and velocity distribution, in the inner heliosheath, the hydrogen wall, and the
VLISM
Ly-α Spectrometer: Directional, high-resolution (< 20 km/s
Doppler shift) Lyman-α spectra and their variation with distance
from the Sun
European
heritage:
Imaging
UltraViolet
Spectrograph
on
MAVEN. ISP Science Objective: (New and unique for the European contribution). Explore the gravity law on the scale of VLISM
Stella Science Requirement Q5: Are there any deviations from the gravity law on the scale of the VLISM? (Section 2.5)
Stella Objective: Determine the spacecraft acceleration
Radio Science: Measure the two-way range to an accuracy of
20 cm @ 100 s integration time
European heritage: BepiColombo; VERITAS. (
y
g
)
y
ent Q4: How does the local interstellar medium become structured when it meets the heliosphere? (Section 2.4) Ly-α Spectrometer: Directional, high-resolution (< 20 km/s
Doppler shift) Lyman-α spectra and their variation with distance
from the Sun European
heritage:
Imaging
UltraViolet
Spectrograph
on
MAVEN. ISP Science Objective: (New and unique for the European contribution). Explore the gravity law on the scale of VLISM
Stella Science Requirement Q5: Are there any deviations from the gravity law on the scale of the VLISM? (Section 2.5)
Stella Objective: Determine the spacecraft acceleration
Radio Science: Mea
20 cm @ 100 s integr heliosheath (Richardson et al., 2022). 1 Introduction nal European contributions to the ISP science questions (McNutt et al., 2021), their measurement requirements, and European heritage. arabash and Wimmer-Schweingruber (2022). 1 Introduction The many and diverse
in situ and remote-sensing observations obtained to date
clearly emphasize the need for a new generation of more
comprehensive measurements that are required to understand
the global nature of our Sun’s interaction with the local
galactic environment. Science requirements informed by the now
available observations drive the measurement requirements of an
ISP’s in situ and remote-sensing capabilities that would allow to
answer the open questions highlighted in Tables 1, 2. The latter
exhibits notional, possible European contributions to the ISP
science objectives and payload, but such contributions would,
of course, need to undergo the usual competititve selection
process. For the time being, they may be considered as an
incomplete illustration of European capabilities. Other examples
of European contributions are a magnetometer or a radio-
plasma-wave instrument. All aforementioned ISP mission proposals aim at answering
fundamental questions about heliophysics which can be
summarized as shown in Table 1. In addition to answering te questions posed in Table 1, an
ISP would enable planetary science with its fly-by of Jupiter and
its moons after the era of the ESA’s Jupiter Icy Moons Explorer
(JUICE) mission and to fly by a Kuiper-Belt Object (KBO),
very similar to the successful New Horizons example. On its
way to the Very Local Interstellar Medium (VLISM), ISP would
allow bonus science goals from a variety of scientific disciplines
(Section 2.6) and perform a fundamental measurement to test
the 1/r2 law of gravitation at a hitherto unverified distance
scale (Section 2.5). Thus, an ISP would serve a large scientific
community while addressing the top-level questions given in
Table 1. In Section 2 we discuss in more detail the science
questions which could be addressed by possible European
payload contributions to an ISP, some of which are shown in
Table 2. After the exciting in situ observations of the termination
shock, heliosheath, and heliopause, both Voyagers have now
entered “interstellar space” (Stone et al., 2019). “Interstellar
Space” is shown in quotation marks because it is not the
pristine VLISM, but rather this space continues to be influenced
by the Sun and heliosphere. Because of the various competing 02 frontiersin.org Frontiers in Astronomy and Space Sciences Frontiers in Astronomy and Space Sciences 10.3389/fspas.2022.1063849 Wimmer-Schweingruber et al. TABLE 2 Notional European contributions to the ISP science questions (McNutt et al., 2021), their measurement requirements, and European heritage. Adapted from Barabash and Wimmer-Schweingruber (2022). Scientific Requirements ISP Science Objective: Advance knowledge and understanding of the galactic neighborhood’s origin and evolution ISP Science Objective: Advance knowledge and understanding of the galactic neighborhood
Stella Science Requirement Q1: What is the composition of the VLISM gas? (Section 2.1)
Stella Objective: Determine the chemical and isotopic composition of the
VLISM gas of all major species entering the heliosphere: H, He, O, Ar ISP Science Objective: Advance knowledge and understanding of the galactic neighborhood’s origin and evolution
Stella Science Requirement Q1: What is the composition of the VLISM gas? (Section 2.1)
Stella Objective: Determine the chemical and isotopic composition of the
VLISM gas of all major species entering the heliosphere: H, He, O, Ar
Neutral Gas Mass Spectrometer (NGMS): Mass-spectrometric
measurements of thermal gas with m/Δm = 300 and sensitivitie
at 1#/m3 ISP Science Objective: Advance knowledge and understanding of the galactic neighborhood’s origin and evolution
Stella Science Requirement Q1: What is the composition of the VLISM gas? (Section 2.1)
Stella Objective: Determine the chemical and isotopic composition of the
VLISM gas of all major species entering the heliosphere: H, He, O, Ar
Neutral Gas Ma
measurements o
/
3 Neutral Gas Mass Spectrometer (NGMS): Mass-spectrometric
measurements of thermal gas with m/Δm = 300 and sensitivities
at 1#/m3 European heritage: NGMS on Luna-Resurs, NIM/PEP on JUICE. ISP Science Objective: Resolve the birth and evolution of interstellar and inner-source PUIs; Understand acceleration processes and pressure balance
in the solar wind and at the heliospheric boundaries; Establish the nature and structure of the heliopause, the ribbon, and the ring; Investigate how th
heliospheric boundary is modified by solar dynamics; Determine the extent and impact of solar disturbances in the VLISM. ISP Science Objective: Resolve the birth and evolution of interstellar and inner-source PUIs; Understand acceleration processes and pressure balances
in the solar wind and at the heliospheric boundaries; Establish the nature and structure of the heliopause, the ribbon, and the ring; Investigate how the
heliospheric boundary is modified by solar dynamics; Determine the extent and impact of solar disturbances in the VLISM. Stella Science Requirement Q2: How is our dynamical heliosphere upheld and how does it change from the Sun to the VLISM? Frontiers in Astronomy and Space Sciences Scientific Requirements (Section 2.2)
Stella Objective: Determine the 3D velocity distribution functions of ions and
electrons
Plasma Science System (PSS): Measurements of differ
of ions and electrons in the energy range <3 eV to <2
Heritage: PAS on Solar Orbiter, SWEA on STEREO an p
yi
y
y
;
p
Stella Science Requirement Q2: How is our dynamical heliosphere upheld and how does it change from the Sun to the VLISM? (Section 2.2) Plasma Science System (PSS): Measurements of differential fluxes
of ions and electrons in the energy range <3 eV to <20 keV
Heritage: PAS on Solar Orbiter, SWEA on STEREO and MAVEN,
HIA and CODIF on Cluster, PLS on Voyager, PIMS on Europa
Clipper Plasma Science System (PSS): Measurements of differential fluxes
of ions and electrons in the energy range <3 eV to <20 keV
Heritage: PAS on Solar Orbiter, SWEA on STEREO and MAVEN,
HIA and CODIF on Cluster, PLS on Voyager, PIMS on Europa
Clipper ISP Science Objective: Understand the nature and detailed origin of GCRs; Establish the exact nature of heliospheric shielding against GCRs; Establish
how far solar disturbances reach into the VLISM how far solar disturbances reach into the VLISM. Stella Science Requirement Q3: What is the origin and role of galactic cosmic rays in the solar system and beyond? (Section 2.3)
Stella Objective: Determine the (isotopic) composition of the GCR; determine
the abundance of Li-B-Be; determine GCR pitch-angle distributions
Cosmic Ray Spectrometer (CRS): Large geom
cm2 sr); mass resolution ∼0.1 amu; multiple vi
measurements of the magnetic field
European heritage: RAD on Mars Science Labo how far solar disturbances reach into the VLISM. Stella Science Requirement Q3: What is the origin and role of galactic cosmic rays in the solar system and beyond? (Section 2.3)
Stella Objective: Determine the (isotopic) composition of the GCR; determine
the abundance of Li-B-Be; determine GCR pitch-angle distributions
Cosmic Ray Spectrometer (CRS): Large geometry factor (> 2
cm2 sr); mass resolution ∼0.1 amu; multiple viewing directions;
measurements of the magnetic field
European heritage: RAD on Mars Science Laboratory, EPD HET
on Solar Orbiter, AHEPaM on Athena Stella Science Requirement Q3: What is the origin and role of galactic cosmic rays in the solar system and beyond? 2.1 Stella Q1: What is the composition of
the VLISM gas? Early determinations of the VLISM composition were from
pickup ions in the solar wind, from anomalous cosmic rays,
and from spectroscopic observations towards nearby stars. All
these methods are indirect and depend on modelling for the
determination of the composition of the VLISM neutral gas. Interstellar Boundary Explorer (IBEX) provided us with first
direct measurements of VLISM H, He, O (Möbius et al., 2009),
and Ne (Bochsler et al., 2012). However, the absolute values of
their abundances in the VLISM are very uncertain because of
the strong and variable photoionization in the inner Solar System
(Bzowski et al., 2013) and filtration at the heliospheric boundary. Key ratios for planetary evolution studies, e.g., Ne/O and D/H,
are not known with sufficient accuracy, and are limited by their
small fluxes at 1 AU. Other VLISM species (C, N, Na, Mg, Al,
Si, P, S, Ar, Ca, Fe) as well as the isotopic composition of He,
O, Ne, have not been measured directly at all. For example, C
is not able to penetrate the heliopause because it is fully ionized
in the interstellar medium. This also prevents the use of indirect
methods. ISP would for the first time directly measure all major
neutral gas species in the VLISM. While the physics of PUIs within the inner heliosphere
has been previously addressed with the Solar Wind Ion
Composition Spectrometer (SWICS) on Ulysses and the
Advanced Composition Explorer (ACE) (Gloeckler et al., 1992;
Geiss et al., 1995;
Schwadron et al., 2000;
Wimmer-
Schweingruber and Bochsler, 2003; Allegrini et al., 2005), the
small geometric factor of SWICS did not allow to reconstruct the
full 3D velocity distribution function of PUIs which is critical
to understand PUI evolution through acceleration and transport
processes in the heliosphere. The more modern PLAsma and
SupraThermal Ion Composition [PLASTIC, Galvin et al. (2008)]
instrument on the Solar TERrestrial Observatory (STEREO)
mission or the Proton-Alpha Sensor (PAS) and Heavy Ion Sensor
(HIS) on ESA’s Solar Orbiter (Owen et al., 2020) are examples of
the kind of required instruments. The abundances of elements and their isotopes in the
Solar System present a snapshot in time of the composition
of the interstellar medium from which the Sun formed 4.57
Gyr ago. 2.2 Stella Q2: How is our dynamical
heliosphere upheld and how does it
change from the sun to the VLISM? In the following Sections 2.1, 2.2, 2.3, 2.4, 2.5 we highlight
the science questions which could be addressed by a notional
European payload (see Table 2) on which the white paper
reported here was based. We stress that these notional
contributions by no means cover all required measurements
for an ISP, nor do they encompas all European capabilities. The solar wind expands from the Sun and interacts with
the neutral gas in the VLISM to form the heliosphere. In
situ observations by the Voyagers and New Horizon, and
remote neutral atom measurements by IBEX strongly suggest
that turbulence is one of the critical processes acting at the
heliospheric interface (Fraternale et al., 2022). This interaction
also serves as a model for how stellar winds interact with their
VLISM to form astrospheres, but is further complicated by the
inflow of neutral VLISM gas. This gas is ionized in the inner
heliosphere, thus creating a population of pickup ions (PUIs)
which is highly non-thermal and defines the pressure balances
in the heliosheath (HS) and at the heliopause (HP) against the
flow of the VLISM (Rankin et al., 2019). This crucial role of PUIs
in the global solar wind-VLISM interaction can not be studied
with Voyager 1 and 2 because they were not equipped to measure
PUIs. Scientific Requirements While New Horizons is
expected to reach the termination shock Stern et al. (2018), it
does not carry a magnetometer (Weaver et al., 2008), which is
a critical measurement to characterize the termination shock,
heliosheath, and VLISM. definitions of VLISM we here clarify that we use the words
“pristine VLISM” in the sense of the very local ISM in the vicinity
of the local cloud or clouds and reserve the expressions LISM
and ISM for what lies beyond. We stress that we do not expect
an Interstellar Probe to reach the pristine VLISM in its lifetime,
the relevant scales are simply too large even when compared
with the distance that could be covered by this mission in its
lifetime. We do not expect the Voyagers to last long enough to
enter the undisturbed, pristine VLISM which is likely situated
way beyond their current locations and remaining lifetime. Nevertheless, the Voyager results allow us to design an ISP to
perform measurements of all quantities relevant to characterize
and understand the VLISM. Moreover, observations by the
Voyagers have underlined the importance of understanding the
termination shock and how it influences the structure of the Although anchored in heliophysics, ISP, on its journey
out of the Solar System, also offers other ground-breaking
discoveries across astrophysics and planetary science. Any
outward trajectory, dictated by the heliophysics objectives, offers
flybys of at least one of the 130 dwarf planets or 4,000 KBOs,
to understand the almost unexplored world of the outer Solar
System. Remote and in situ dust observations would provide
an unprecedented view of the circumsolar dust disk, critical
for understanding the formation and evolution not only of our
Solar System, but also to understand planetary formation in Frontiers in Astronomy and Space Sciences frontiersin.org 03 Wimmer-Schweingruber et al. 10.3389/fspas.2022.1063849 A Neutral Gas Mass Spectrometer (NGMS, Table 2) would
provide the required composition measurements of the VLISM
gas, as well as gradients due to the different ionization and
neutralization processes. surprisingly young dust disks. Beyond the zodiacal cloud, the
infrared Universe opens up to measure the poorly constrained
extragalactic background light providing insight into galactic
and stellar evolution since 200 My after the Big Bang. Further
examples of such science opportunities are mentioned in
Section 2.6. Frontiers in Astronomy and Space Sciences 2.1 Stella Q1: What is the composition of
the VLISM gas? The evolution of interstellar matter that our Solar
System encountered on its journey through the Galaxy can be
inferred from the present state of the VLISM by measuring these
elements and their isotope ratios. Measurements of the isotopic
ratios of interstellar neutrals H/D,
3He/4He, and
20Ne/22Ne
with high accuracy will constrain our understanding of the
chemical evolution of our Galaxy. With the recent realization
that the ISM is highly structured and that we are entering
a new interstellar cloud now (Linsky et al., 2019), neutral gas
measurements at 100s au scales will be critical for assessing the
interstellar environment that the heliosphere will encounter on
its interstellar trajectory. PUIs experiencing a secondary charge exchange process with
interstellar neutrals become Energetic Neutral Atoms (ENAs). Knowledge of PUI properties is crucial for understanding ENA
images of the global heliospheric interaction. IBEX has imaged
heliospheric ENAs over a solar cycle which show substantial
variations and demonstrate that solar activity drives the global
response of the entire heliosphere and its interaction with
the VLISM (McComas et al., 2020). But how multi-scale solar
wind structures propagate and evolve in the outer heliosphere;
how they influence suprathermal and energetic particles; what
plasma flows they cause in the heliosheath; and how locations Frontiers in Astronomy and Space Sciences 04 frontiersin.org Wimmer-Schweingruber et al. 10.3389/fspas.2022.1063849 Li-Be-B can offer the capability to distinguish solar from
interstellar from mixed plasmas in the HS, HP, and boundary
layer(s), and VLISM. Studies of the unobserved species of GCRs
in the VLISM are of importance not only to heliophysics and
the nature of particle acceleration and consequences of GCRs in
the heliosphere, but also to astrophysics and the nature of the
Universe itself. Observations of particularly rare GCR isotopes,
GCR electrons, and antimatter in the VLISM can even shed light
on and further constrain models of the nature of the Big Bang
and dark energy. However, because of heliospheric shielding of
lower-energy GCRs, the critical observations required to answer
such open questions rely on observations of these GCR species
in the comparitavely unperturbed VLISM by an ISP. of boundaries change because of pressure pulses, shocks, and
waves in the solar wind is not known. Voyager 1 detected
shocks and pressure waves beyond the heliosphere which were
likely driven by transient solar events (Gurnett et al., 2013). 2.1 Stella Q1: What is the composition of
the VLISM gas? Our understanding of the multi-component, multi-scale plasma
physics in the outer boundary layers of the heliosphere and its
coupling to the neutral component of the VLISM is extremely
limited (See, e.g., Mostafavi et al., 2022, for a review.). IBEX discovered the ENA ribbon, an enigmatic band of
intense ENA fluxes in the sky. The ribbon is an “imprint”
of the complex physical processes between charged and
neutral particles controlled by the interstellar magnetic field. Understanding its origin will tell us about the fundamental
physics of the heliosphere’s boundary, and thus about other
astrospheres. The Interstellar Mapping and Acceleration Probe
(IMAP, launch 2025) will explore ENAs in much more detail but
it will not be able to investigate the micro-physical processes in
this complex plasma. A launch of ISP in late summer of 2036
would let it traverse the ribbon and perform in situ particle
measurements to establish its origin. A Cosmic Ray Spectrometer (CRS, Table 2) together with the
PSS would provide the required measurements. 2.4 Stella Q4: How does the local
interstellar medium become structured
when it meets the heliosphere? A Plasma Science System (PSS, Table 2) together with NGMS
would provide the required measurements of the VLISM plasma
and neutral gas populations. The Local Interstellar Cloud surrounding the heliosphere
primarily consists of atomic hydrogen (H). Approaching
the heliosphere, interstellar H atoms pile up and form a
Hydrogen Wall, found to be a common feature of astrosphere-
ISM interaction (Baranov and Malama, 1993; Linsky and
Wood, 1996). The heliospheric Hydrogen Wall was detected
remotely,
however,
it
was
never
explored
with
in
situ
measurements leaving open questions about its extent, peak
density, and 3D structure. Despite being critical for the global
heliospheric structure, properties of interstellar H atoms far
away from the heliosphere in the LIC and their variations due
to ion-neutral coupling at the heliospheric boundary remain
largely unknown. Measuring solar Lyman-a (121.567 nm)
emission backscattered from interstellar H atoms is a powerful
technique to probe interstellar H atoms. The spectral shape
of the Lyman-α emission line holds key information on the
spatial and velocity distribution of interstellar H and enables
to infer momentum exchange between hydrogen and plasma. The study of the Lyman-α line profile in the outer heliosphere
allows characterizing the distribution (bulk velocity and
temperature) of the hot hydrogen population, which is created
by charge exchange in the inner heliosheath. After crossing
the heliopause, these same measurements will provide the
hydrogen atom distribution in the outer heliosheath and the
Hydrogen Wall. As the probe moves away to larger distances
the pristine interstellar H population will contribute increasing
amounts to the Ly-α line profile thus allowing to derive (e.g.,
by extrapolation) the true number density, bulk velocity, and
temperature in the Local Interstellar Cloud. The combination
of in situ measurements of the H and proton density with
other species with different ionization states will provide key Frontiers in Astronomy and Space Sciences 2.3 Stella Q3: What is the origin and role
of galactic cosmic rays in the solar
system and beyond? Galactic Cosmic Ray (GCR) anisotropies are sensitive to
remote field variations and can therefore be used as an effective
remote diagnostic of the field configuration of the heliosphere,
and once beyond the heliopause, they provide insight into
how solar disturbances can propagate deep into the VLISM
(Krimigis et al., 2013; Gurnett et al., 2015; Rankin et al., 2019;
Hill et al., 2020). The Voyagers’ cosmic ray instrument had
limited look directions, and confounding, species-dependent
anisotropies in GCR angular distributions have been reported
(Rankin et al., 2019). There is no current consensus on what
causes those anisotropies. With its improved instrumentation,
ISP would offer a new opportunity to study the nature of
GCR anisotropies, GCR shielding by the heliosphere, and
the properties of the unshielded GCR spectra in the VLISM,
including rare species and isotopes, that could not be observed
by the Voyagers. Measurements of rare and unstable cosmic
ray isotopes can be used to determine GCR source regions
via spallation and direct acceleration, galactic escape rates,
and solar modulation (Wiedenbeck et al., 2007). For instance,
the abundance of Li, Be, and B at cosmic ray energies is
comparable (same order of magnitude) to that of C, N, and O,
and thus more than four to six orders of magnitude higher than
their relative abundance in the Solar System. Observations of Frontiers in Astronomy and Space Sciences 05 frontiersin.org 10.3389/fspas.2022.1063849 Wimmer-Schweingruber et al. information about the ionization state and processes in the
LISM. A Ly-α spectrometer (Table 2) would provide the required
measurements. B3:
Acquire
Ly-α
absorption
spectra
against
known
stellar neighbors to map out the neutral hydrogen density
structure in the local neighbourhood. The increasing distance
of an interstellar probe would gradually build up this 3D
information. information about the ionization state and processes in the
LISM. A Ly-α spectrometer (Table 2) would provide the required
measurements. B4: The Solar System does not only include the Sun, planets,
and asteroids, but also a large number of dwarf planets (a status
to which Pluto has been demoted), Kuiper-Belt Objects (KBOs),
and Trans-Neptunian Objects (TNOs). It thus comes as no
surprise that there are many opportunities for a fly by of such
an object. This would dramatically increase our understanding
of these objects and of their diversity. 3 Mission description Apart from describing important science goals of an ISP,
Table 2 also hints at possible European provisions of payload
elements (instruments). Obviously, this would have to be
subject to further refinement by a joint NASA - ESA science
definition team and a competitive process. The instruments
mentioned are given to illustrate European expertise and
possible contributions. While these instruments have sufficient
heritage and already have or will have TRL 6 by 2026, they
would have to be qualified for a 50 years (or longer) mission
duration. NASA and ESA would have to play a key role in this
process. This science question would not require any dedicated
payload, but the radio system would be required to provide
precise range and range rate measurements (Table 2). 2.5 Stella Q5: Is the 1/r2 law of gravitation
valid at scales of hundreds of au? The laws of gravity are unevenly tested at different spatial
scales
[Fundamental Physics Roadmap Advisory Team (FPR-
AT), 2010]. The most precise knowledge is obtained from Solar
System dynamics, where space probes allowed the most accurate
tests of general relativity to date. Violations of the 1/r2 law,
associated with the Compton wavelength of the graviton, have
also been tested precisely in the Solar System. But at short
spatial scales (at the atomic level) or beyond the Solar System
(>50 au) gravity has never been accurately tested. ISP offers
the opportunity to carry out an accurate test of the 1/r2 law at
distances beyond 50 au and up to 350 au, by precise range and
range rate measurements of the probe. In addition, ISP could
determine or set up an upper limit on the density of dark matter
in a sphere of radius approximately equal to the heliocentric
distance of the probe. Gravitational signals from TNOs could
also be detected providing a new “window” for discovering these
objects. B5: As the ISP retreats from the Solar System its back-looking
view of the Solar System would offer a remote observation of a
known planetary system as a model for a habitable exo-planetary
system. Frontiers in Astronomy and Space Sciences 2.6 Stella bonus science opportunities
B1–B5 p
One of the key European industrial and programmatic
contributions proposed in the STELLA proposal to ESA is an
upgrade of the European deep space communication facility that
would allow the precise range and range-rate measurements of
the probe to address STELLA science goal Q5 but would also
provide additional downlink of ISP data and thus increase the
ISP science return. The facility would be a critical augmentation
of the European Deep Space Antennas (DSA) not only for ISP
but also for other planned missions, e.g., to the icy giants. Less
than a decade after its launch, returning data from ISP would
require a receiving station with the equivalent of 4 35-m dishes
or more than 16 18-m dishes, i.e., the equivalent of a 75-m dish. The architecture of the array should be studied during an early
phase of the mission (0/A). European industries are among the
world leaders in the field. mtex antenna technology (Germany)
is the sole prime to develop a production-ready design and
produce a prototype 18-m antenna for the US National Research
Observatory (NRAO) Very Large Array (ngVLA) facility. Thales/Alenia (France/Italy), Schwartz Hautmont (Spain) are
heavily involved in the development of the new 35-m DSA
antenna. The five science questions discussed above are examples of
heliophysics and fundamental physics questions that would be
addressed by an ISP. We highlight five additional, bonus science
“teasers” (B1–B5) to demonstrate the breadth of ISP. Indeed, this
mission would also contribute to astrophysics and planetology. B1: Infrared emission from dust in the Solar System
(Zodiacal light) obscures the extragalactic background light
which is the red-shifted remnant of the emission of galaxies
formed only a few hundred million years after the Big Bang
(Cooray, 2016). Observing this light would constrain models of
Galaxy formation, the evolution of cosmic structure, the re-
ionization epoch, and allow for searches beyond the standard
model (Tyson, 1995). B2:
As
the
solar
wind
interacts
with
planetary
magnetospheres, atmospheres, or surfaces, it emits characteristic
X-ray emission. An X-ray instrument would thus allow to
determine the soft X-ray background in the heliosphere and
solar-wind planet interactions. frontiersin.org 06 Wimmer-Schweingruber et al. 2.6 Stella bonus science opportunities
B1–B5 10.3389/fspas.2022.1063849 At the other end of the communication system, i.e., on
the ISP spacecraft itself, Europe could also provide the High
Gain Antenna (HGA) and communication system which should
supply, together with the ground segment, a telemetry rate of
at least 200 bps at 350 au and would allow to address STELLA
science goal Q5. It would have to be a fully redundant X-
band system; optical communication would very likely pose too
stringent pointing requirements on the spacecraft. Hardware
for this subsystem is mature technology with ample deep space
heritage. The antenna complement would include a 5-m High
Gain Antenna (HGA), a 0.4-m Medium Gain Antenna (MGA)
coaligned with the HGA, and fore and aft Low Gain Antennas
(LGAs). succession. ISP as the anchor would enable an entire half-century
of scientists to gain mission experience. 4 Technology developments Of course, this 50-year (or longer) mission also requires
significant,
although
entirely
manageable,
technology
developments, the most noteable of which are highlighted in
the following paragraphs. A more complete listing is given in
McNutt et al. (2021). Frontiers in Astronomy and Space Sciences 3.1.1 Mission operations We
envision
that
NASA
would
assume
the
main
responsibilities for ISP flight dynamics and operations, and
that ESA’s primary responsibility would be to operate the
European payloads, and provide a dedicated link to ISP to
drastically increase ISP’s science return. ESA would also
perform the special operations required by the European Radio
Science experiment and could provide additional uplink. The
contribution envisaged in the STELLA proposal (Barabash and
Wimmer-Schweingruber, 2022) only covers operations for the
first 10-year segment of the 50-year nominal life time because it
is foreseen to divide the ISP mission up into 10-year segments
which would be reviewed individually. 3.1.2 Knowledge transfer The very long duration of the mission would necessitate the
broad involvement of young and mid-career scientists as well as
encouraging scientists who were not necessarily involved in the
hardware phase to join the mission. We envision that PIs would
change for the different phases of the mission. For each 10-year segment of the mission, all project and
instrument teams would be requested to include three categories
of their team members: 3.1 Maintaining a long-term mission Previous proposals have included solar sails, nuclear ion
propulsion, or electric sails, which are technologically not mature
for a flight in the 2030s and put complex constraints on spacecraft
implementation. With the increasing availability of Super-Heavy
Lift Launch Vehicles (SHLLVs), such as NASA Space Launch
Systems (SLS), SpaceX Starship, or BlueOrigin vehicles, higher
solar-system escape speeds are now becoming realistic using
conventional chemical propulsion. For example, a launch with
an SLS Block 2 followed directly by an Atlas Centaur upper stage
and a Star-48 BV, all directly after launch, would put an 860-
kg spacecraft on a 6-month trajectory to Jupiter. Here, a passive
gravity assist would allow an escape speed twice that of the fastest
solar-system escaping spacecraft, Voyager 1, of up to 7.2 au/year
(McNutt et al., 2022). This 50-year (or longer) mission will require careful handling
of mission operations and knowledge transfer: 4.2 Power Nuclear power would be unavoidable. NASA is currently
developing the Next-Generation Radioisotope Thermoelectric
Generator (NextGen RTG) through the Radioisotope Power
Systems (RPS) Program at Glenn Research Center. The RPS
Program is on track to provide the first flight-qualified NextGen
RTG by 2028, well before 2036 when Interstellar Probe would
require units. Power supply electronics and distribution units
could be reused from New Horizons and Parker Solar Probe
(PSP). See Section 5.9 in (McNutt et al., 2021) for more details. Frontiers in Astronomy and Space Sciences 4.3 Reliability • Senior members with extensive experience. These would
typically be mentors of mid-career and junior scientists and
potential PIs. Strategies to the ensure reliabilty of ISP for 50 years (or
longer) of operations in space will need to be developed. Our
knowledge of how to assess reliability has greatly improved
over the past decades and has resulted in missions which
have significantly exceeded their planned lifetimes, as is
exemplified by the Voyagers, SOHO, Ulysses, and other missions. For instance, studies have shown that parts failures can
be more accurately associated with inadequacies in design • Mid-career scientists who lead smaller teams and are in
charge of important subsystems or projects. • Junior
scientists
who
lead
individual
ISP
science
investigations. Through the course of the mission, scientists would flow
through these categories to ensure knowledge transfer and 07 frontiersin.org 10.3389/fspas.2022.1063849 Wimmer-Schweingruber et al. or improper handling of components or workmanship (see
McNutt et al., 2021, Sec. F.2). would also consider the use of the ESA facility for other missions
to the icy giants and outer Solar System. The required TDAs should be kicked off as early as possible
to ensure completion by the end of phase 0/A of an ISP mission. 4.5 Communication While communication across hundreds of au may be viewed
as a technological challenge, the Voyagers have shown that
this can be done. Current technology on Earth, paired with
spacecraft communication equipment from the 1970s already
allow this reliably across more than 150 au. The STELLA
proposal to ESA (Barabash and Wimmer-Schweingruber, 2022)
and the JHU/APL study (McNutt et al., 2021), as well as the
first paragraphs of Section 3 give more details about possible
improvements. Nevertheless, investments in communications
would improve science return, and also benefit other outer-solar-
system missions (e.g., to the giant planets and icy moons). If an ISP is recommended in first rank order of Large
Strategic Missions and/or US Congress demands such a mission,
then it would be prudent for NASA to establish a Science and
Technology Definition Team (STDT) in consultation with ESA. Investments in the fields highlighted in the previous
subsections would significantly enhance humanity’s space-faring
capabilities and benefit (Solar System) space science. 5 International context An ISP would also pose a management challenge by
necessitating a well-organized and continuous transfer of
knowledge from one generation of engineers, scientists, and
managers to the next as discussed in Section 3.1. An Interstellar Probe with varying names has been
proposed to different space agencies. Apart from NASA
(McNutt et al., 2021), ESA has commissioned such studies
(Lyngvi et al., 2007), and China is also studying an interstellar
probe which would reach 100 AU by 2049 to celebrate the
100-th anniversary of modern China. It was discussed in
the 639th Academic Symposium of the renowned Xiangshan
Science Conference series in October 2018. An international
meeting on this topic was held at ISSI in Beijing in November
2019. Numerous mission white papers have been submitted
to
ESA
(Wimmer-Schweingruber et al., 2009;
Wimmer-
Schweingruber, 2013; Wimmer-Schweingruber, 2019) and laid
the ground work for the STELLA mission proposal (Barabash
and
Wimmer-Schweingruber, 2022). The
necessarily
long
duration and ensuing cost of such a mission strongly suggest
a coordinated NASA-ESA effort. Data availability statement Apart from obvious technology developments such as the
development of the power sources and ensuring the powerful
launcher needed for ISP mentioned above, the following
technology development activities (TDAs) would be needed for
an ISP: The original contributions presented in the study are
included in the article/Supplementary Material, further inquiries
can be directed to the corresponding author. References Allegrini, F., Schwadron, N. A., McComas, D. J., Gloeckler, G., and Geiss, J. (2005). Stability of the inner source pickup ions over the solar cycle. J. Geophys. Res. 110, A05105. doi:10.1029/2004JA010847 Allegrini, F., Schwadron, N. A., McComas, D. J., Gloeckler, G., and Geiss, J. (2005). Stability of the inner source pickup ions over the solar cycle. J. Geophys. Res. 110, A05105. doi:10.1029/2004JA010847 Geiss, J., Gloeckler, G., Fisk, L. A., and von Steiger, R. (1995). C+ pickup
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437–486. doi:10.1007/s11214-007-9296-x McNutt, R. L., Wimmer-Schweingruber, R. F., Gruntman, M., Krimigis, S. M.,
Roelof, E. Conflict of interest The
STELLA
proposal
(Barabash
and
Wimmer-
Schweingruber, 2022) and the white paper reported here were
developed using information from the JHU/APL ISP study
(McNutt et al., 2021) which was supported by Task Order
80MSFC18F0139 under NASA Contract NNN06AA01C. 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. Acknowledgments 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. We thank the countless individuals who have contributed
to our understanding of the heliosphere and the various
studies and proposals of such a mission to explore our cosmic
neighborhood. Author contributions Development
and
implementation
of
qualification
procedures for missions with nominal lifetimes of 50 years and
beyond. This would provide the community with knowledge of
designing long-lived space equipment and be helpful for other
programs such as Artemis. RW-S wrote the manuscript based on the inputs of his co-
authors and provided information about the energetic particle
environment, NA contributed information about the plasma
state of the VLISM, SB led the STELLA proposal submitted
to ESA in February 2022, PB provided input on US and
international efforts for an ISP as well as the plasma and neutral
gas measurements, TH contributed overall scientific guidance,
especially about the magnetic structure of the heliosphere,
LI contributed information about verifying the 1/r2 law of
gravitation, BL contributed information about the plasma state of
the VLISM, RM provided input on US and international efforts
for an ISP, EP, and EQ contributed to the Ly-α questions, RW
contributed overall scientific guidance, MW and PW contributed
to the neutral gas questions. Studies of using integrated X/Ka deep space transponders
(IDSTs) on an ISP mission. IDSTs will be flown on NASA’s Venus
Emissivity, Radio Science, InSAR, Topography, and Spectroscopy
(VERITAS) mission as a contribution from the Italian Space
Agency and are already at high TRL level. The possible use of Ka-
band relies on the pointing accuracy of the spinning spacecraft
and requires dedicated studies. Studies
of
the
deep
space
communication
facility
architectures, and of an upgrade of the DSA to provide a
dedicated link for ISP: 4 × 35-m dishes or more than 16 18-
m dishes, antenna’s location, numbers in each site. The study frontiersin.org 08 Wimmer-Schweingruber et al. 10.3389/fspas.2022.1063849 Frontiers in Astronomy and Space Sciences References C., Brandt, P. C., et al. (2022). Interstellar probe - destination: Universe. Acta Astronaut. 196, 13–28. doi:10.1016/j.actaastro.2022.04.001 09 Frontiers in Astronomy and Space Sciences frontiersin.org Wimmer-Schweingruber et al. 10.3389/fspas.2022.1063849 Möbius, E., Bochsler, P., Bzowski, M., Crew, G. B., Funsten, H. O., Fuselier, S. A., et al. (2009). Direct observations of interstellar H, He, and O by the interstellar
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A16. doi:10.1051/0004-6361/201937259 Wiedenbeck, M. E., Binns, W. R., Cummings, A. C., Davis, A. J., de Nolfo, G. A., Israel, M. H., et al. (2007). An overview of the origin of galactic cosmic rays as
inferred from observations of Heavy ion composition and spectra. Space Sci. Rev. 130, 415–429. doi:10.1007/s11214-007-9198-y Pogorelov, N. V., Fichtner, H., Czechowski, A., Lazarian, A., Lembege, B., le
Roux, J. A., et al. (2017). Heliosheath processes and the structure of the heliopause:
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193–248. doi:10.1007/s11214-017-0354-8 Rankin, J. S., McComas, D. J., Richardson, J. D., and Schwadron, N. A. (2019). Heliosheath properties measured from a voyager 2 to voyager 1 transient. Astrophys. J. 883, 101. doi:10.3847/1538-4357/ab3d9d Wimmer-Schweingruber, R. F., and Bochsler, P. (2003). On the origin
of inner-source pickup ions. Geophys. Res. Lett. 30, 1077–1080. doi:10.1029/
2002GL015218 Richardson, J. D., Burlaga, L. F., Elliott, H., Kurth, W. S., Liu, Y. D., and
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018-0507-4 frontiersin.org 10 Frontiers in Astronomy and Space Sciences
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Shanghai and New York: Mid-Century Urban Avant-Gardes
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Built heritage
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Shanghai and New York: Mid-Century Urban Avant-Gardes Rosemary Wakeman Rosemary Wakeman
History Department & Urban Studies Program, Fordham University, New York, United States
Email: rwakeman@fordham.edu History Department & Urban Studies Program, Fordham University, New York, United States
Email: rwakeman@fordham.edu ABSTRACT This article examines the cultural and architectural exchanges between Shanghai and New York in the
mid-20
th century and their iconic roles as avant-garde global capitals. It considers the cultural and architectural
free-thinkers and the groundbreaking movements they led, as well as their influence on the character and identity
of both cities. Art Deco was the emblematic symbol of these modern forces. The article analyses the new technolo
gies and theatrical perspective, the performative and spectacular qualities of Art Deco as the signature styles and
cultural heritage of both cities. KEYWORDS Art Deco, New York, avant-garde, Radio City Music Hall, Park Hotel, lighting design, technology, Ca
thay Cinema, cityscape, film Received May 12, 2019; accepted August 15, 2019. Received May 12, 2019; accepted August 15, 2019. Received May 12, 2019; accepted August 15, 2019. Much has already been written about New York and
Shanghai in the 1930s. The scholarship on ‘Art Deco
New York’ and ‘Art Deco Shanghai’ is multitudinous. This article focuses more narrowly on specific facets
of this heritage. It broadens out the imaginary of built
heritage to include the composite of cosmopolitan in
fluences that shaped the urban fabric, and that made
these cities into global crossroads. While the influence
of New York and the American architectural idiom on
Shanghai is taken fully into account, the article argues
that similar avant-garde influences inspired architects
in both cities and predisposed the way their built en
vironments were produced. It takes a closer look at ar
chitecture as urban theatre and redefines architectural
space to include what are often considered ephemeral
or inconsequential elements, and yet were decisive in
making architecture into avant-garde production. Spe
cifically, new building technologies and theatre design
were both at the nexus of perceptions about modernism
and urban form. Technology was the guiding leitmotif
of the 20th century. Technology along with architecture
in the service of mass culture and consumption, popu
lar entertainment and urban spectacle opens a rich
perspective on built heritage. It ties it to the myriad
transformations that made New York and Shanghai into
modern urban icons. Shanghai and New York: Mid-Century Urban Avant-Gardes In the 1920s and 1930s, New York and Shanghai were
bustling cosmopolitan metropolises, melting pots of
nationalities and by extension architectural styles from
around the world. New York was already a metropolis
of some 7 million people and just behind London as the
largest city in the world. With 3.2 million inhabitants
in 1932, Shanghai was the fifth largest city in the world. Its population increased to 5 million by the end of the
1930s. Both cities were teaming ports and places of en
counter with a flux-and-flow of peoples moving across
borders and frontiers. They were shaped by exchanges
and the mingling of publics, ideas, trade. This circulation
of peoples and cultures, the collision of all these ideas
and ways of seeing was a boiling cauldron of creativity. They made New York and Shanghai into global pivots for
the production and consumption of urban modernity. The modern temperament, the famous New York and
Shanghai ‘styles’, was defined by skyscrapers, department
stores, and their glitzy ballrooms and jazz dance clubs. Their built heritage comprised manifold cultures. Both
cities were the sites of competing architectural styles- ne
oclassical and pompous Beaux-Arts buildings sat along
side Art Deco towers that exemplified the new age. The
aesthetic tensions that existed in New York and Shanghai
created mesmerising cityscapes that was already legend
ary in the 1930s. 49 R. Wakeman capitalism, while in Shanghai, it was a visible sign of the
colonial presence and a mesmerising newness invented in
the West. Alluding to the lesser role that Shanghai often
played in relation to the great western capitals, the pub
lisher of The China Journal argued that Shanghai ‘must
show that it is one of the “Great Three” along with London
and New York … Shanghai is the London, New York and
Paris of the East, all rolled into one’ (Sowerby 1928, 114). Shanghai was becoming ‘an apartment city just as are New
York and London’. At the same time, the cosmopolitan
qualities of Art Deco were directly connected to Eurocen
trism. A plea for Chinese expertise in modern architecture
asserted that ‘We want variety in the “brave new world”. We most emphatically do not want an exact reproduction
of Europe or America in Asia.’ (North China Herald 1929,
1934) Yet in this dialogue between east and west, the re
semblances between the cities were as provocative as their
differences. Art Deco as Future City It was the Art Deco skyscrapers that crowned their sky
lines in the 1920s and 1930s that made New York and
Shanghai into unabashed icons of the future. Rockefel
ler Center, the Chrysler Building, and the Empire State
Building in New York were glorious signatures of urban
modernism as were Shanghai’s Park Hotel, the Sassoon
House, and Broadway Mansions. Of course, not everyone
was convinced that the skyscraper was the future. Ven
erable American urban theorist Lewis Mumford called
New York’s skyscrapers ‘a blind alley and an insupportable
luxury’ (Mumford 1933). But for the majority gazing up at
the soaring towers, Art Deco was the vision of a futuristic
city. It formed part of a cosmopolitan imagination ema
nating from the West. Architects consciously abandoned
the historical forms that dominated architecture up to the
1920s as stogy and unsuitable to the modern age. Instead,
they found inspiration from a wild variety of sources in
what amounted to a global intermixing of styles. Art Deco
exuded optimism and aesthetic exuberance. It was a spec
tacular statement of ‘newness’, of a future filled with pos
sibilities. It was an immediate international sensation, in
fusing cities across the globe with a scintillating verve, an
architectural jazz that matched the modern age. Although
profoundly eclectic, it was the technology that pervaded
modern life that most infused the new Art Deco aesthetic. Architects and designers embraced airships and cruise
ships, the whirring cogs and wheels of the factory. They
rendered the machine aesthetic in linear and geometric
forms and cubist volumes, in sumptuous metals, zigzag
and streamlined configurations that evoked the energy
and power of technology. They explored the interplay of
planes, the juxtaposition of patterns, colours and textures. In this regard, the impact of the 1925 Paris Exposition des
Arts Décoratifs et Industriels Modernes on New York as
well as on Shanghai was profound and rapid. The Exposi
tion graced the Seine River in the west of Paris from April
to October that year with an official attendance of over 15
million people. The exposition was itself a place of fantasy
and wonder. Under the banner of ‘Art Deco’, the Exposi
tion challenged participants with an avant-garde credo:
‘Works admitted to the Exposition must show new inspi
ration and real originality.’
It was this experimental aesthetic temperament that
made Art Deco so adaptable across cultures. Shanghai and New York: Mid-Century Urban Avant-Gardes In both cities, Art Deco symbolised money
and power and took on a hegemonic caste (Lee 2001, 92–
95). It is easy to interpret this heritage as a capitalist logic
exulting in the flashy facades. It was the rich and famous
who inhabited the luxurious Art Deco skyscrapers rising
on the skylines, and their glamorous lives became the stuff
of Hollywood films shown in the cinemas of Shanghai and
New York. The Bund and Fifth Avenue were the frontiers
of global capitalism. Art Deco as Future City Rather than If architecture exuded wealth and privilege, it was also
a product of the crossroads positions of both cities, a kind
of migratory or melting pot modernism that scaled ter
ritorial frontiers and wandered through urban cultures,
imbibing local design practices, picking up fragments and
adapting to local aesthetics. British sociologist Gerard
Delanty argues that there are moments of world open
ness in which the encounter between the local and the
global shaped cultural modes of mediation (Delanty 2006,
27). The avant-garde production of the 1920s and 1930s
was indeed such a moment. In both cities, the genealogi
cal roots that made up this cultural mélange were many,
and the meaning of this modernist heritage goes beyond
the hypnotic decorative spell that Art Deco caste. It was
a form of global cultural knowledge situated in the local
(Windover 2009, 24). The geometric forms and motifs of
East Asian decorative art added to the mix as did Futurism
and Constructivism. Central European avant-garde design
was a significant ingredient to this stew of global influ
ences, as were avant-garde theories of democratic theatre
and mass society, along with the technological wizardry
of engineering and communication media, and dreams of
cities made up of spiny-needle skyscrapers. In the hands It was this experimental aesthetic temperament that
made Art Deco so adaptable across cultures. Rather than
simply emulate Paris, when it was transplanted inter
nationally, the design took on different meanings and
fashioned distinct New York and Shanghai ‘styles’. In
New York, Art Deco was the signature of a triumphant 50 BUILT HERITAGE 2019 / 3 Figure 1 Walter Gropius (1883–
1969), 1927. Berlin: Total Thea
tre: Plan deep stage in position
(Source: ARTSTOR). 31 Figure 1 Walter Gropius (1883–
1969), 1927. Berlin: Total Thea
tre: Plan deep stage in position
(Source: ARTSTOR). 31 design of the playhouse itself (Figure 1). As part of the
broad social theory shared by these cosmopolitan elites,
the modern theatre was imagined as a mass democratic
medium (Gropius and Schlemmer, 1924). The focus was
on dramatic technique and technics. Revolutionary uses
of space, form, colour, sound, motion would dissolve into
the shifting, illusionary arena of the imagination. The New
York architects eagerly adapted these European expres
sionist and modernist configurations to the city’s building
boom. Art Deco as Future City The emotional and decorative effects of colour and
pattern, and illumination were in full view in Rockefeller
Center (which received official landmark status in 1978). of the avant-garde, these appealed to the emotions and the
imagination. They made up a broad modernist heritage
in which the ‘irrational fantasies’, as Rem Koolhaas called
them, about the future city came to full light (Koolhaas
1997, 173). Art Deco as Aesthetic Mélange Edward Durell Stone,
principal architect; Donald
Deskey, interior designer (Source:
Wikipedia Commons). 2 were an immediate sensation and spurred Deskey to join
with Hood, Harrison, and Viennese designer Paul Frankl
in promoting modern design and architecture. Deskey in
troduced mass-produced tubular metal furniture based on
designs by Marcel Breuer and Ludwig Mies van der Rohe
he had seen at the Bauhaus. But European modernism was
not the only source of inspiration for American design
ers. They turned to the burgeoning American consumer
industries as mechanisms for a revolution in everyday life. It was evident in Deskey’s 20-year association with the
Procter & Gamble Company during which he designed
dozens of domestic household products. for carrying out this vision and reconceptualising spatial
context and texture. Colour and artificial lighting were an
integral component of this theatrical built environment. Journalists remarked on Radio City Music Hall’s scale, its
showmanship, with its interior ‘flooded with enough light,
mostly coloured light, to illuminate the city of Minneapo
lis’. Lighting was treated by modernists as pure colour and
form. The illuminating experts ‘can weave together effects
like aurora borealis, sunrise at sea, shooting-star showers,
burning cities …’. The architects used tricks of perspective
to shorten distances with the walls and ceilings curving
into the stage (New Yorker Magazine 1932, 48–50). Like
Art Deco itself, illumination was exuberantly decorative
and ostentatiously ornamental. It was the moderne style
that dazzled and thrilled the crowds, and augured the
urban future. Deskey’s design of Radio City Music Hall promised
avant-garde architecture of the 1930s as visual theatre. Deskey worked with theatrical set designer Edmond Jones
to fashion the interior of Radio City Music Hall as a bold
spectacle of cubist forms, rich materials, glowing metal
surfaces, with a sumptuous Art Deco golden crown en
veloping the stage (Okrent 2003, 222–230). Marble and
gold foil mixed with aluminium and cork in a blaze of
decorative light fixtures and enormous murals (Figure 2). The North China Herald pronounced it ‘the largest and
best theatre in the world’ (29 March 1939). The theatre
revealed the lighting effects that were essential to creat
ing mid-century architecture and design as theatre. In his
Event Cities, Bernard Tschumi argued that architecture
is both a performance and an event. It is a mise-en-scene
where vectors, voids, solids, envelopes and flow negoti
ate the delicate relationship between space, movement
and action (Tschumi 1994, 13). Art Deco as Aesthetic Mélange A host of official American delegates from organisations
such as the American Institute of Architects wandered
through the 1925 Paris Exposition, stunned at the radi
cally new design in architecture, furniture, textiles and
graphics. In February the next year, New York’s Metropoli
tan Museum of Art welcomed visitors to their miniature
version of the Paris Exposition with ‘A Selected Collection
of Objects’. New York’s most prominent architects of mid-
century modernism, individuals such as Harvey Wiley
Corbett, Raymond Hood, Wallace Harrison, and Edmund
Durell Stone, had all been trained in Europe, primarily at
the Ecole des Beaux Arts, and were immediately inspired
by the designs they viewed at the 1925 Exposition. These
were the designers behind Rockefeller Center and Radio
City Music Hall, perhaps the penultimate examples of
New York’s avant-garde Art Deco architecture. They set
off on a European grand tour, searching out avant-garde
theatre designs and meeting up with German architects
such as Expressionist Erich Mendelsohn to see his stream
lined Universum Cinema and indulging in discussions
with Peter Behrens and Walter Gropius. Gropius had ap
plied his concept of ‘total theatre’ to the architecture and fi
Although the European avant-garde was a touchstone,
New York’s version of Art Deco was more commercial,
more geared to the entertainment industry and certainly
more flamboyant. Donald Deskey was characteristic of
mid-century modernists such as Wallace Harrison and
Raymond Hood, as well as Edward Durell Stone. Schooled
at the Ecole des Beaux Arts, Deskey made a second trip
to Paris in 1925 to attend the Exposition des Arts Déco
ratifs. The spectacle of chrome and steel, the plastic, the
straight lines and sharp edges were a revelation for him. He continued his sojourn in Europe with a pilgrimage to
the Bauhaus in Dessau. On returning to New York, he was
hired to decorate the windows of department stores along
New York’s famed Fifth Avenue. Like many cutting-edge
American designers of this period, he worked in advertis
ing and sallied back-and-forth between theatre design,
marketing, and industrial design. The avant-garde deco
rative drama he concocted for department store displays 51 R. Wakeman Figure 2 Radio City Music Hall,
Rockefeller Center, interior, audi
torium with view toward Great
Stage. Edward Durell Stone,
principal architect; Donald
Deskey, interior designer (Source:
Wikipedia Commons). 2 Figure 2 Radio City Music Hall,
Rockefeller Center, interior, audi
torium with view toward Great
Stage. Art Deco as Aesthetic Mélange Art Deco was a formula Like their New York counterparts, Chinese architects
and artists such as Liu Jipiao and Lin Fengmian made
the pilgrimage to Paris, enrolled in the Ecole des Beaux
Arts and toured the 1925 Paris Exposition. Liu Jipiao de
signed the interior of the Exposition’s Chinese Pavilion in
a flamboyant moderne style. Art Deco arrived in Shang
hai through a pair of young French architects, Alexandre
Leonard and Paul Veysseyre. They began work on the
Cercle Sportif Français, a lavish country club in the west
ern part of the French Concession. Opened in 1926, the
French Club, as expatriates called it, presented a conserva
tive Beaux-Arts exterior fronting its style moderne interior
in imitation of that showcased at the 1925 Paris Exposi
tion. Leonard and Veysseyre went on to complete over a 52 BUILT HERITAGE 2019 / 3 Figure 3a Park Hotel, Laszlo Hudec
architect, 1934 (Source: Virtual
Shanghai.net). Figure 3b American Radiator
Building, Raymond Hood architect
(Source: Irma and Paul Milstein Di
vision of United States History, The
New York Public Library. Accessed
June 27, 2019). 3a
3b Figure 3a Park Hotel, Laszlo Hudec
architect, 1934 (Source: Virtual
Shanghai.net). Figure 3b American Radiator
Building, Raymond Hood architect
(Source: Irma and Paul Milstein Di
vision of United States History, The
New York Public Library. Accessed
June 27, 2019). 3a Hudec
ual
or
chitect
ein Di
ory, The
essed
3a 3b Figure 3a Park Hotel, Laszlo Hudec
architect, 1934 (Source: Virtual
Shanghai.net). Figure 3b American Radiator
Building, Raymond Hood architect
(Source: Irma and Paul Milstein Di
vision of United States History, The
New York Public Library. Accessed
June 27, 2019). Figure 3a Park Hotel, Laszlo Hudec
architect, 1934 (Source: Virtual
Shanghai.net). Figure 3b American Radiator
Building, Raymond Hood architect
(Source: Irma and Paul Milstein Di
vision of United States History, The
New York Public Library. Accessed
June 27, 2019). Figure 3a Park Hotel, Laszlo Hudec
architect, 1934 (Source: Virtual
Shanghai.net). Figure 3b American Radiator
Building, Raymond Hood architect
(Source: Irma and Paul Milstein Di
vision of United States History, The
New York Public Library. Accessed
June 27, 2019). 3a monument of American business and enterprise, and an
American visitor to Shanghai remarked that the skyscrap
ers along the Bund were ‘monuments to the prosperity of
the owners and to the possibilities of Eastern trade’ (Frankl
1928, 61; New York Times, 25 February 1923). Art Deco as Aesthetic Mélange They were
the world of big business and international commerce. The advent of the New York skyscraper as ideal of the
future meant an Americanisation of architectural pro
duction and a rising demand for American materials and
architectural know-how. Surveying the dizzying height
of New York’s skyscrapers (Figure 4), a Shanghai journal
ist remarked ‘There literally seems to be no limit … The
modern skyscraper is gradually producing a new species of
human beings.’ Architect George Wilson reported in The
China Journal on how ‘the pleasing effect of the modern
American skyscraper’ in New York came about (Wilson
1932, 238). The American Institute of Architecture, the
United States government, as well as American educa
tional and philanthropic organisations championed the
growing presence of American architects and builders in
Shanghai. Foreign businesses confronted an increasingly
powerful Chinese nationalist movement that targeted the
treaty system and foreign privilege. Yet even in the chaotic
Republican era, city-building functioned around avant-
garde international networks. American engineering firms
were involved in the construction of new electric power
plants and substations in Shanghai as well as the expan
sion of telephone service. Architectural schools such as
the University of Pennsylvania and Pratt Institute in New
York were opening their doors to Chinese students such as hundred commissions, most of them in the Art Deco style. But they were not the only champions of the eclectic mod
ernism of Shanghai. There were also Hungarian-Slovak
László Hudec, Englishman George ‘Tug’ Wilson, Russian
Alexander Yaron, Spaniard Abelardo Lafuente (see the
article by Álvaro Leonardo Pérez in this issue), and an ex
panding roster of foreign-trained Chinese architects such
as Robert Fan and Dong Dayou. Following the pattern
seen elsewhere around the world, the city’s architects com
bined a potpourri of architectural traditions with the more
‘universalist’ imported elements of Art Deco. László Hudec
represented this fusion of patterns. Like many of the refu
gees fleeing the former Austro-Hungarian Empire, Hudec
was early on influenced by the atmospheric qualities of
German Expressionism, especially that of Erich Mendel
sohn. By dint of refugee status, Hudec along with other
expatriate architects became ‘citizens of the world’. He
maintained contact with the European architectural avant-
garde throughout his career. Hudec initially worked for the
American architectural firm of Roland Curry in Shanghai. Figure 3a Park Hotel, Laszlo Hudec
architect, 1934 (Source: Virtual
Shanghai.net).
Figure 3b American Radiator
Building, Raymond Hood architect
(Source: Irma and Paul Milstein Di
vision of United States History, The
New York Public Library. Accessed
June 27, 2019). Art Deco as Aesthetic Mélange A trip to America to study New York’s skyscrapers pro
foundly shaped his ideas, especially the verticality of build
ings by architect Raymond Hood (Figures 3a, Figure 3b). Hudec’s landmark Park Hotel in Shanghai was based on his
sketches of Hood’s American Radiator Building (dedicated
to the new heating technology) at New York’s Bryant Park
(Poncellini 2010). The Park Hotel was Shanghai’s first sky
scraper and long the city’s tallest building. In his book New Dimensions (1928), New York-based
Viennese designer Paul Frankl defined skyscrapers as the 53 R. Wakeman BUILT HERITAGE 2019 / 3
4
5
Figure 4 Skyscrapers of New York City: aerial view of Battery Park and the skyscrapers of lower Manhattan, looking north
wards, 1929 (Source: New York Public Library Digital Collections. Accessed June 26, 2019). Figure 5 Nanjing Road (Source: Japanese book Nostalgia for Shanghai published by Kokusho-kankoukai). 4
5
Figure 4 Skyscrapers of New York City: aerial view of Battery Park and the skyscrapers of lower Manhattan, looking north
wards, 1929 (Source: New York Public Library Digital Collections. Accessed June 26, 2019). Figure 5 Nanjing Road (Source: Japanese book Nostalgia for Shanghai published by Kokusho-kankoukai). 4 Figure 4 Skyscrapers of New York City: aerial view of Battery Park and the skyscrapers of lower Manhattan, looking north
wards, 1929 (Source: New York Public Library Digital Collections. Accessed June 26, 2019). Figure 5 Nanjing Road (Source: Japanese book Nostalgia for Shanghai published by Kokusho-kankoukai). 54 BUILT HERITAGE 2019 / 3 Figure 6 Wing On Department
Store, Art Deco Tower, architects
Elliot Hazard and Edward Phillips
(Source: Peter Hack on abc.net.au). 6 Figure 6 Wing On Department
Store, Art Deco Tower, architects
Elliot Hazard and Edward Phillips
(Source: Peter Hack on abc.net.au). 6 Liang Sicheng, Yang Tingbao, Chen Zhi, Zhao Shen, and
Lin Huiyin. They were instrumental in bringing Ameri
can practices and standards to China and merging them
with local aesthetic traditions and heritage. With architec
tural offices in Shanghai, the New York firm of Henry K. Murphy employed Art Deco trendsetters Elliot Hazzard
and Poy Gum Lee as well as a number of Chinese archi
tects. Cathay Mansions was likened to ‘… one of the more
magnificent apartment houses in New York City …’ (North
China Daily News, 14 November 1932 and North China
Herald, 19 May 1932). Art Deco as Aesthetic Mélange The richness of display on Nanjing
and Bubbling Well roads made them into Shanghai’s ‘Great
White Way’ in imitation of Broadway (Figure 5). Art Deco building mirrored construction in New York,
where caste aluminium spandrels were also being used,
for example, in Rockefeller Center. Concrete, steel fram
ing and aluminium were then adapted to the structure
of Broadway Mansions in Shanghai by Scottish architect
Bright Fraser. Shanghai’s Art Deco buildings introduced
the automatically-controlled Otis elevators and escalators,
the air-conditioning and heating, the automatic sprinklers
and fire alarm systems, that made skyscrapers practical
and also made them technological marvels. Even the rein
forced pilings that made raising the towers possible in the
Shanghai mud were based on new engineering technolo
gies. Architectural modernism was tightly bound with this
machine culture. The majority of these engineering and
construction feats were done by American and German
companies although Chinese firms were also subcontract
ed for building construction. Art Deco as Technics These references to an American-style Deco design evi
denced the increasingly influential role New York played
in the Shanghai imagination. New York architects Elliot
Hazard and Edward Phillips designed the 26-storey Art
Deco tower extension of the Wing On Department Store
(Figure 6). It was a mark of the intimacy between Art
Deco design, advertising and commercialism. The tower
rose over Nanjing Road across from the Sincere Depart
ment Store and fashioned the intersection into what
was dubbed Shanghai’s ‘Times Square’ (Denison 2017,
277). Hazzard also designed the Shanghai Power Com
pany Building on Nanjing Road. The reinforced concrete The Art Deco buildings rising along Nanjing Road and
on the Bund were conjured from this technological wiz
ardry. They emerged alongside the development of pho
tography and cinematography, radiography, telephony,
electricity, and engineering. ‘Modern genies who, on a
flat mud bank, rear cement and concrete palaces to the
sky …’ reported the North China Daily News (14 Novem
ber 1932). Technology made possible the functionality,
the movement and circulation that were the unquestion
able basis of modernist architecture as well as modern
life. Technology was not merely contextual, but instead 55 R. Wakeman Figure 7 Sassoon House, ’Radio
Central of China’, Far Eastern
Review (March 1931): 182. 7
Central Radio Office, installed in
Shanghai
a. Perforating apparatus;
b. Automatic transmitter;
c. Undulator;
d. Direct printing machines. Figure 7 Sassoon House, ’Radio
Central of China’, Far Eastern
Review (March 1931): 182. Raymond Hood searched for an aesthetic style in keeping
with avant-garde media that were ‘entirely new’. Hood
was among the most celebrated architects of the age and
had absorbed a riot of European influences, especially
from Finish architect Eliel Saarinen as well as Walter
Gropius and Adolf Meyer. Hood ‘resorted to light’ and
‘developed an architectural effect that depended almost
entirely on changing lights. Sheets of light, changing in
tone and colour, stream up the wall … Other lights glow
from behind great pilasters … The fixtures themselves,
gigantic for lighting fixtures, have inside of each one an
almost complete stage electrical equipment … At the
state end, a glowing screen was ingeniously devised that
has almost the qualities of a colour organ. Practically, we
adapted all of the tricks of stage lighting to the architec
ture of a room’ (Hood 1928, 6). Art Deco as Technics The result was Art Deco
as techno-theatre for a new media that drew three-quar
ters of a million people to the live broadcasts in its first
year of operation. was constitutive of modernist aesthetics (Danius 2002,
2–3) and urban heritage. Passing through their doors
into sumptuously decorated interiors, the public found
telegraph and telephone exchanges, and ticker tapes for
real-time information on markets. The buildings were al
legories to global communication. They were the nodal
points that connected New York and Shanghai to the
world and the mechanisms for global urban pretensions. It was precisely this euphoria about the machine age that
Art Deco aesthetics attempted to capture. The ‘Radio Cen
tral of China’ (Figure 7) was located in Shanghai’s iconic
Art Deco citadel, the Sassoon House. The ground and
first floors were jam-packed with transmission equip
ment and offices where ‘messages received from all parts
of the world are made ready for delivery’. It was ‘in direct
and permanent day and night communication with Paris’
(Shecklen 1930, 290; Pavlovsky 1931, 182). This broader
understanding of the heritage of modernism that em
braces the technologies of movement and communication
goes beyond decorative appearances to the complex fabric
of structures and spaces that impacted people’s lives. Her
itage becomes a pathway to understanding the media rev
olution and future building design. In 1926, architect and stage designer Joseph Urban
designed the New York headquarters of the Hearst Pub
lishing empire to honour his hero, the distinguished
Viennese architect Otto Wagner. High-fluted columns
topped with urns reproduced the imagery of the 1925
Paris Exposition, while Art Deco colossal statues at the
base symbolised the publishing industry. The build
ing exuded Urban’s expertise as a theatrical stage de
signer. Urban was trained in Vienna and took part in
the Jugendstil movement that applied modernist prin
ciples to architecture and theatre design. He was heavily Art Deco as Theatre Theatrical tactics and stage machinery were just as essen
tial to modernist perception. In designing the thirty-five
radio and television studios for the National Broadcast
ing Company at Rockefeller Center (Figure 8), architect 56 BUILT HERITAGE 2019 / 3 ckefeller Center,
dio, architect Ray
ource: Museum
New York). h Urban, Ziegfeld
Front, Watercol
1926–1927
h Urban Collec
k & Manuscript
bia University). ph Urban, Vene
Ziegfeld Follies
e: Joseph Urban
ook & Manuscript
bia University
s III. New York). 8
9
10 8 8 8 9 10 Figure 8 30 Rockefeller Center,
Television Studio, architect Ray
mond Hood (Source: Museum
of the City of New York). Figure 9 Joseph Urban, Ziegfeld
Theater, Street Front, Watercol
our, New York, 1926–1927
(Source: Joseph Urban Collec
tion, Rare Book & Manuscript
Library, Columbia University). Figure 10 Joseph Urban, Vene
tian Stage Set, Ziegfeld Follies
of 1921 (Source: Joseph Urban
Papers, Rare Book & Manuscript
Library, Columbia University
Libraries. Series III. New York). Figure 8 30 Rockefeller Center,
Television Studio, architect Ray
mond Hood (Source: Museum
of the City of New York). 10 influenced by the Wiener Werkstätte. On immigrating to
the United States, he opened a Wiener Werkstätte shop
on Fifth Avenue to advertise their sleek crafts. In Urban's
work, the theatre became an implied metaphor (Figure
9). He designed striking sets for the Ziegfeld Follies in
New York, for the Metropolitan Opera and the Broad
way stage. Urban argued that the inspiration for modern
theatre design must come from the architect rather than
the dramatist (Figure 10). Openness, elasticity of func
tion, enveloping the audience in the production through
the use of colour and lighting effects were essential to
the democratic theatre (Urban 1929). Urban’s buildings
exuded the same drama as his theatrical stage design. They were a scenographic blend of European modernism and American commercial design. His innovative use of
colour and lighting, his radical forms made his designs
among the most avant-garde in New York. He employed
them as well at the 1933 Century of Progress Exposition
in Chicago, where he concocted an elaborate colour and
lighting scheme that bathed the buildings in a ‘colour ge
ography’ and unified the fairground design around the
paths of sun and shade. Art Deco as Colour and Light In explaining his own techniques of theatrical design,
American architect Claude Bragdon found parallels with
architecture as a ‘permanent stage set’ of ‘dream pictures, 57 R. Wakeman Figure 11 Claude Fayette Bragdon, Coloured Decorative Design (Source: The Miriam and Ira D. Wallach Division of Art, Prints
and Photographs: Art & Architecture Collection, The New York Public Library. ‘Coloured decorative design’ New York Public Li
brary Digital Collections. Accessed June 27, 2019). Figure 12 The Great White Way: Broadway north from 45
th Street, 1923 (Source: The Miriam and Ira D. Wallach Division of Art,
Prints and Photographs: Photography Collection, The New York Public Library. ‘Broadway north from 45th St.’ New York Public
Library Digital Collections. Accessed June 27, 2019) . 11
12 11 11 Figure 11 Claude Fayette Bragdon, Coloured Decorative Design (Source: The Miriam and Ira D. Wallach Division of Art, Prints
and Photographs: Art & Architecture Collection, The New York Public Library. ‘Coloured decorative design’ New York Public Li
brary Digital Collections. Accessed June 27, 2019). Figure 12 The Great White Way: Broadway north from 45
th Street, 1923 (Source: The Miriam and Ira D. Wallach Division of Art,
Prints and Photographs: Photography Collection, The New York Public Library. ‘Broadway north from 45th St.’ New York Public
Library Digital Collections. Accessed June 27, 2019) . adapted to advertising and became integral to architectur
al aesthetics. Focusing on lighting underscores building
form as a dreamscape of colour, light, and glass. It inter
twines the heritage of Art Deco with the legacy of the city
as theatre. In a Shanghai review of avant-garde cinema
design in Europe and the United States, the techno-drama
of the Théâtre Pigalle in Paris is a model in which light
and machinery create magical staging. For its architect, ‘the
façade of a theatre is only a curtain-wall, the function of
which is to serve as a background for a blazon of luminous
letters ...’. The exterior lighting sets the dramatic atmos
phere for the theatre interior conceived as ‘pure architec
ture—the proportion of masses in voids and solids, light
and shade …’ (North China Daily, 14 November 1932). These were the touchstones for aesthetic gratification and
experiential authenticity. Theatrical machinery combined
the sensory with architectural aesthetics. as if seen in the depths of some great crystal sphere’
(Figure 11). The effect was produced through colour and
lighting (Bragdon 1929, 109 and 114). Art Deco as Colour and Light The taste for spec
tacular staging effects was derived from the emergence
of modernity in the 19th century as well as with the ‘ar
chitecture of light’ of European modernists. Illusions to
the ‘architecture of light’ and to glass crystals were widely
shared among avant-garde architects of this period, par
ticularly by figures such as Walter Gropius, László Mo
holy-Nagy, and Bruno Taut in their writings of the 1920s
and 1930s. Architect George Wilson famously designed
Shanghai’s Sassoon House around the Lalique glass he
had admired in Paris. When the building opened in 1929,
‘… one almost loses interest in everything except the
wonderful Lalique lighting, which is a riot of beauty …
one colour melting into another, giving the effect of sun
rise and sunset, blazing day and moonlight’ (North China
Herald, 2 August 1929). Architectural historian Cary Y. Liu has argued that ‘ar
chitecture’ comprises both material and immaterial con
nections, as well as aesthetic concepts and standards of
taste (Liu 2014, 118). Imagining built heritage as a broad
phenomenon across the technological and theatrical land
scape shifts our gaze to the cityscape as magical theatre in
places such as the Bund, Nanjing Road, or Times Square. First introduced in Times Square, dazzling displays of
moving and flashing neon lights attracted huge crowds of
people (Figure 12). The content of the ads was overshad
owed by the electric display. The spectacle changed the Most emblematic of the vintage glow of urban modern
ism was neon, first unveiled by French inventor Georges
Claude at the Paris Motor Show in December 1910. The
new methods of electrical illumination developed in the
1920s and 1930s such as neon gas-filled tubes, indirect
lighting, luminous coloured lighting techniques made the
built form and the spaces of New York and Shanghai into
wildly aesthetic wonderlands. In Paris, officials quickly
imposed legal restrictions on the use of electric advertis
ing signage. In New York and Shanghai, neon was quickly 58 BUILT HERITAGE 2019 / 3 13
Figure 13 Night view of the Shang
hai department stores, 1937. Claude
Berruyer photographer (Source:
Virtual Shanghai.net). Figure 13 Night view of the Shang
hai department stores, 1937. Claude
Berruyer photographer (Source:
Virtual Shanghai.net). 13 commercial signage became a new kind of globalised
urban semiotics and a new kind of heritage. Mao Tun cap
tured the immediacy of this visual theatre in Midnight,
his seminal 1933 novel of Shanghai. Art Deco as Colour and Light Looking out over the
cityscape ‘one saw with a shock of wonder on the roof of a
building a gigantic neon sign in flaming red and phospho
rescent green: LIGHT, HEAT, POWER!’ The ‘kaleidoscope
of red, yellow, green, black, shiny, square, cylindrical, leap
ing, dancing shapes’ overwhelm his protagonists (Tun
2001, 1, 8). Some of the sky-signage, such as the glitzy
Wrigley Spearmint Chewing Gum illumination in New
York, became crowd favourites and was reproduced end
lessly in photography and film as the signature of Times
Square (Taylor 1991, 240–242). Others were temporary,
perishable, remembered only by people who enjoyed their
fleeting exoticism. In Shanghai Fox-Trot, neo-sensationalist
writer Mu Shiying depicted the ‘Neon light stretches out a
coloured finger and writes a large character in the black-
ink night. An English gentleman stands in front, wearing
a red swallow-tail coat, gripping a cane, vigorously strid
ing along. Below his feet is written: “Johnny Walker: Still
Going Strong”’ (Mu 1934). This kind of urban spectacle
was by its very nature an ephemeral art. In celebration of
the 1937 coronation of King George VI, ‘Shanghai burst
into a joyous, display of myriad coloured lights from one
end of the Bund to the other skyscraper after skyscraper
blazed forth brilliantly in the night sky, making the whole
waterfront a mass of twinkling light …’ (North China
Herald, 19 May 1937) The riot of colour and light on the
marquees in the theatre and cinema district along Broad
way in New York, and the skyscrapers and cinema palaces
of Shanghai made the city into illusionistic performance. way people experienced space and made their engagement
with the city a form of ‘cinematic spectatorship’ (Cordon
2010, 65). The cityscape was conceived as a virtual stage
set through which people moved, mesmerised by the il
lusionary marvels. Electric theatres such as this revealed
the potential of urban space as radical avant-garde tactic. The built form of the city became sensuous display. The
urban panorama was to be looked at as an image or object
of aesthetic pleasure, a position increasingly reproduced
in photography and film of the 1920s and 1930s. Art Deco as Colour and Light For ex
ample, the 1933 Soviet-style avant-garde montage film
City Nights by director Fei Mu, captures the carnivalesque
blaze of light along the Bund, the city’s signature ‘poster
buildings’ outlined in luminous neon, the dazzling ad
vertising displays on the Wing On, the Sincere, and Sun
department stores along Nanjing Road. More than merely
architectural ornament, the lavish illumination dominated
cultural identity and transformed Shanghai and New York
into global mass media (Figure 13). While architecture
itself moved increasing toward an abstracted, minimalist
modern style, the urban panorama remained ornamental,
sheathed in light, ever more evocative of urban identity
and experience. In good part, it was the ultimate mark of
the ‘society of spectacle’ and demonstrated the phantas
magoria of commodification that haunted people's daily
lives and, according to the urban theorists of the Frankfurt
School, ultimately subjugated them. Art Deco as Commerce There was an intimate relationship between the avant-
garde and the sorcery of commercial advertising. Glittering 59 R. Wakeman 14
Figure 14 Cathay Theatre, 1949
(Source: Virtual Shanghai.net). Figure 14 Cathay Theatre, 1949
(Source: Virtual Shanghai.net). Figure 14 Cathay Theatre, 1949
(Source: Virtual Shanghai.net). This urban spectatorship was mirrored in the Para
mount Ballroom and Cathay Cinema, the Grand Theater,
the cabarets and film palaces, bathed in light and decora
tive splendour. Along with theatre, film was also a source
of inspiration, at times directly overlapping with archi
tectural design. Joseph Urban for example designed film
sets and directed numerous films for William Randolph
Hearst’s Cosmopolitan Productions. Cinema was the most
democratic, universalist form of mass entertainment. The
introduction of sound brought an entirely different qual
ity to the illusion provided by motion pictures. Sumptuous
movie theatres such as the Rialto and Roxy in New York
and the Paramount and Cathay in Shanghai belonged to
an era of fantasy and mirage, one that Art Deco design
indulged in with abandon. The Paramount’s glass tower
sheathed in red and green lights could be seen for miles
away (see the article by Andrew Field in this issue). The
Cathay Cinema opened on January 1, 1932 with an Ameri
can movie called Free Soul. Until 1949 it played English
and American Films. It was designed by Czech architect
Charles Henry Gonda, who also designed Shanghai’s Capi
tol Theater and the Sun Department Store. Central Euro
peans added to the jumble of nationalities in Shanghai. Gonda’s theatrical imagination was sharpened in Vienna
and Paris where he mixed with the European avant-garde
movements that were transforming architecture and
design. Conda used lighting to extraordinary effect in the
Cathay. The 1000-seat auditorium, done in ‘American style’,
bathed the glass ceiling beams, the bronze and gold colour
scheme in indirect lighting. The Cathay logo shot up into
the sky along the building’s central spire (Figure 14). The North China Herald reported that it was ‘the first time in
the Far East a lighting scheme was created which architec
turally constitutes a perfect unit with the decoration of the
Auditorium’ (5 January 1932). It was a frank assertion that
a building façade was a form of advertising—a marquee. With their neon-lite spires and marble facades, the movie
palaces became iconic fixtures in the city. Art Deco as Commerce A moviegoer ef
fused, ‘When night falls, the foreign names in neon lights
on their fronts: Grand Theatre or Cathay … glow in their
alluring and glittering colours’ (Poshek 2003, 34). Conclusion Art Deco played a significant role in the dialogue be
tween local place and globalisation. It was a signature
avant-garde production that embraced theatrics and
technological wizardry and spectacularised the built en
vironment. Both Shanghai and New York were captivated
by this thrilling visualisation of the modern city. The
influences that made up their urban ‘styles’ in the 1920s
and 1930s were many. Similar avant-garde influences in
spired architects in both cities. They shared inspiration
from the European experiments, particularly as it was
interpreted in Paris, Berlin, and more generally in central
Europe. They shared in the excitement of new technolo
gies and the brilliance of a nighttime panorama illumi
nated by electric stars. These facets that were so emblem
atic of modern urban life open a rich perspective on built
heritage as do mass culture and consumption, popular
entertainment and urban spectacle. Often considered
ephemeral or inconsequential, these were decisive to the 60 BUILT HERITAGE 2019 / 3 Paul T.Frankl. 1928. New Dimensions; the Decorative Arts
of Today in Words & Pictures. New York: Payson &
Clarke. production of the urban fabric and key to what made
Shanghai and New York distinctive. Not only are they
an expressive fragment of the cultural legacy of the past
that deserves acknowledgement. They have also inspired
a discourse about both local identity and the nature of
urbanity that remains to the present day. In part this nar
rative is nostalgic, in part it references the globalising
influences and creative forces that produced the iconic
New York and Shanghai ‘styles’. Pavlovsky, M., and H. Sauve. 1931. “French Equipped
International Wireless Station in Shanghai.” The Far
Eastern Review, March. Poncellini, Luca. 2010. Hudec László. Budapest: Holnap
Kiadó. Poshek, Fu. 2003. Between Shanghai and Hong Kong: The
Politics of Chinese Cinemas. Stanford, CA: Stanford
University Press. Shecklen, George F. 1930. “Shanghai, the Radio Central of
China.” Far Eastern Review, June. References Bragdon, Claude. 1929. “The Technique of Theatrical Pro
duction.” The Architectural Record 66 (2). Sowerby, Arthur. 1928. “Shanghai’s Position in the World.”
The China Journal 3(8). Cordon, Eric. 2010. The Urban Spectator: American Con
cept-Cities from Kodak to Google. Lebanon, NH: Dart
mouth. Taylor, William R. 1991. Inventing Times Square: Com
merce and Culture at the Crossroads of the World. Balti
more & London: John Hopkins University Press. Danius, Sara. 2002. The Senses of Modernism: Technology,
Perception, and Aesthetics. Ithaca, NY: Cornell Univer
sity Press. Tschumi, Bernard. 1994. Event Cities. Cambridge, MA:
MIT Press. Tun, Mao. 2001. Midnight. Amsterdam: Fredonia Books. Delanty, Gerard. 2006. “The Cosmopolitan Imagination:
Critical Cosmopolitanism and Social Theory.” The
British Journal of Sociology 57 (1): 25–47. Denison, Edward. 2017. Architecture and the Landscape of
Modernity in China before 1949. London & New York:
Routledge. Gropius, Walter, and Oskar Schlemmer, eds. (1924) 2014. The Theater of the Bauhaus. Reprint, Middletown, CT:
Wesleyan University Press. Hood, Raymond. 1928. “The National Broadcasting Stu
dios New York.” The Architectural Record 64 (1). Koolhaas, Rem. 1997. Delirious New York: A Retroactive
Manifesto for Manhattan. New York: Monacelli Press. Lee, Ou-fan Leo. “Shanghai Modern: Reflections on Urban
Culture in China in the 1930s.” In Alternative Moder
nities, edited by Gaonkar Dilip Parameshwar, 86–122. Durham and London: Duke University Press. Liu, Cary Y. 2014. “Encountering the Dilemma of Change
in the Architectural and Urban History of Shanghai.”
Journal of the Society of Architectural Historians 73 (1):
118–136. Mu, Shiying. 1934. “Shanghai Fox-Trot.” [Shanghai de
hubuwu.] Xiandai 2 (1): 4. Translated by Andrew Field
at http://shanghaisojourns.net/blog/2011/3/20/shang
hai-fox-trot.html Mumford, Lewis. 1933 “The Skyline: Skyscrapers and Ten
ements.” The New Yorker, June 3. Okrent, Daniel. 2003. Great Fortune: The Epic of Rockefel
ler Center. New York: Viking. 61 R. Wakeman R. Wakeman
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Когнитивнао-нарративная реализация концептов «совесть» и «добро» в дискурсе летературных журналов
|
Rusycystyczne Studia Literaturoznawcze
| 2,019
|
cc-by-sa
| 7,552
|
COGNITIVE AND NARRATIVE IMPLEMENTATION OF THE CONCEPTS
OF “CONSCIENCE” AND “GOOD” IN THE DISCOURSE OF LITERARY JOURNALS The article deals with the problem of value transformations in modern Russian society, the transla-
tor of which are “thick” literary and social and political journals . The authors explore this process
by analyzing the cognitive and narrative mechanisms implementing the concepts of “conscience” and
“good” in magazines. g
g
Keywords: axiology, narrative, cognitive script, literary journals, Russian society. КОГНИТИВНО-НАРРАТИВНАЯ РЕАЛИЗАЦИЯ
КОНЦЕПТОВ «СОВЕСТЬ» И «ДОБРО»
В ДУСКУРСЕ ЛИТЕРАТУРНЫХ ЖУРНАЛОВ Rusycystyczne Studia Literaturoznaw Вера Антропова
Чляб
нск
й гсударстнный ун
рс
тт
ORCID https://orcid.org/0000-0003-3421-9978
Василий Федоров
Чляб
нск
й гсударстнный ун
рс
тт
ORCID https://orcid.org/0000-0001-6295-5054
КОГНИТИВНО-НАРРАТИВНАЯ РЕАЛИЗАЦИЯ
КОНЦЕПТОВ «СОВЕСТЬ» И «ДОБРО»
В ДУСКУРСЕ ЛИТЕРАТУРНЫХ ЖУРНАЛОВ
COGNITIVE AND NARRATIVE IMPLEMENTATION OF THE CONCEPTS
OF “CONSCIENCE” AND “GOOD” IN THE DISCOURSE OF LITERARY JOURNALS
Rusycystyczne Studia Literaturoznawcze nr 29 (2019)
ISSN 2353-9674
DOI https://doi.org/10.31261/RSL.2019.29.03 Rusycystyczne Studia Literaturoznawcze nr 29 (2019)
ISSN 2353-9674
DOI https://doi.org/10.31261/RSL.2019.29.03 e Studia Literaturoznawcze 2019 (29) POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH Artykuł porusza problem przemian wartości we współczesnym społeczeństwie rosyjskim, których no-
śnikami stają się literackie, artystyczne, społeczne i polityczne „tołstyje żurnały”. Autorzy badają ten
proces, analizując poznawczo-narracyjne mechanizmy realizacji pojęć „sumienie” i „dobro”, przejawia-
jących się w dyskursie tychże czasopism. ją y
ę
y
y
p
Słowa kluczowe: aksjologia, narracja, skrypt poznawczy, czasopisma literackie, społeczeństwo rosyjskie. ją y
ę
y
y
p
Słowa kluczowe: aksjologia, narracja, skrypt poznawczy, czasopisma literackie, społeczeństwo rosyjskie. Акс
лг
чск
й кр
з
с сх сфрах ж
зн
рсс
йскг
бщста пр
л к цннстнй д
нант научных
зыска- 54 н
й бласт
гуан
тар
ст
к
. Ф
лсфы, культурлг
,
сц
лг
цн
ают срнную с
туац
ю как «цннст-
ный акуу», «цннстн-нрат
ную нпрдлннсть»,
«цннстный рлят
з
н
г
л
з», бусллнны «б-
щ
сн
жн
цннстнг статуса рал
, нрастн-
нст
, разытстью р
нт
р пн
ан
дбра
зла»,
«упадк сц
альнг атр
тта трад
ц
нных цннстй»,
«прфан
зац
й
д
л
чнй ттстннст
л
чнг
ыбра»1. Д
на
ка ж така, чт Рсс
эт
прцссы
«
дут напралн
ус
лн
я д
ффрнц
ац
плюрал
-
зац
нрат
н-цннстных с
ст»2. Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Журнал
ст
ка как сц
альный
нст
тут
журнал
стск
трчст как
д крат
нй дятльнст
п пр
рд
сй был
стаются цннстн арк
ранны
,
с-
гдня раках журнал
стскй наук
, п нн
ю нктрых
спц
ал
ст, зн
кла даж тдльная учбная д
сц
пл
-
на
научная парад
га — акс
лг
я журнал
стк
(В
ктр
Алксандр
ч С
др, Ка
лла Рнатна
гатулл
на,
Сргй Срг
ч Ильчнк), пр
занная с
туац
культур-
нг нгбраз
я траз
ть цннстный кнфл
кт д
йнй
ральнст
. Вра Антрпа, Вас
л
й Фдр Когн Ун
кальны прдукт срннй д
акультуры я-
ляются так назыаы «тлсты» тчстнны журналы
т
па «Октябрь», «зда», «Дружба нард», «а», «-
ый
р», «ная», «аш срнн
к»
нктры друг
,
схдящ
к л
тратурны, сат
р
чск
энц
клпд
-
чск
журнала XVIII–XIX к, а пзж — к стск
«тлсты» журнала. 1 Т.В. Т
л
н
на, Причины кризиса ценностных ориентаций в современных
российских семьях // «Тр
я
практ
ка бщстннг раз
т
я» 2012,
№ 6, http://teoria-practica.ru/rus/files/arhiv_zhurnala/2012/6/scilgiyа/tili-
nina.pdf (5.01.2019). 2 С.В. Мара, Динамика норм и ценностей россиян // «Сц
с» 2013, № 7,
с. 120. 3 И.В. Шкарская, Становление и развитие советских «толстых» жур-
развитие советских «толстых» жур-
развитие советских «толстых» жур-
налов в первой половине 20-х годов: автореф. дис. канд. филол. наук, М-
ска 1999, http://cheloveknauka.com/stanovlenie-i-razvitie-sovetskih-tols tyh-
zhurnalov-v-pervoy-polovine-20-h-godov (5.01.2019). 4 Оф
ц
альный сайт журнала «аш срнн
к»: http://www.nash-sovre-
mennik.ru (5.01.2019). POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH Стск
«тлсты» журналы задуы-
ал
сь, с днй стрны, как прн
к
дрлюц
нных
журнал, с другй — эт был пр
нц
п
альн н куль- 55 турн-эстт
чск ялн
журнальн пл стскй
пчат
, пскльку н
зн
кл
нн 20–30- гды ХХ
ка как «сздатл
ыраз
тл
гсударстннй пл
т
-
к
бласт
культуры», пр
занны «на
бл эффкт
н
здйстать на бщстнн сзнан
»3. И нстря на
т, чт пдбны жсячны л
тратурн-худжстнны
бщстнн-пл
т
чск
журналы прдсталяют сбй
сгдня тдльный — эл
тарный — сгнт журнальнй п-
р
д
к
Рсс
, прт
стящ
й друг
нфрац
нны
птка, даж г структур наблюдатся
длг
чская
культурн-эстт
чская д
скртнсть
разбщннсть. Так, с днй стрны, нахдятся рад
кальны, ппз
ц
н-
ны
здан
я, прдящ
длг
ю нац
нальнг кнср-
ат
за, пддрж
ающ
трад
ц
нны патр
архальны
цннст
(«аш срнн
к»), с другй стрны, журналы,
р
нт
ранны на западны л
бральн-дкрат
чск
далы («ная»). «аш срнн
к», прначальн п-
чаташ
й прдста
тлй «дрнскй прзы» — Фдра
Абраа, Вас
л
я Бла, Сргя алыг
на, Валнт
на Рас-
пут
на, Влад
ра Слух
на, Вас
л
я Шукш
на — бъ-
я
л сбя «тр
бунй
днйш
х пл
т
к патр
т
ч-
скг напралн
я», ппз
ц
й прзападны устанка,
«дущ
к разрушн
ю Рсс
г
бл
русскг нарда»4. Журнал «ная», задуанный как
здан
л
тратурнг
бъд
нн
я Краснй Ар
Флта, с 1934 п 1990 гды
был рган Сюза п
сатлй СССР, гд, наряду с п
сатля-
сцрал
за, пчатал
сь такж Андрй Платн, Юр
й
Тынян, Алксандр Тардск
й, В
ктр крас, Юр
й
Казак, Кнстант
н С
н, Юр
й Тр
фн, В
ктр
Астафь, Варла Шала, пзж — Булат Окуджаа, Фа- турн-эстт
чск ялн
журнальн пл стскй
пчат
, пскльку н
зн
кл
нн 20–30- гды ХХ
ка как «сздатл
ыраз
тл
гсударстннй пл
т
-
к
бласт
культуры», пр
занны «на
бл эффкт
н
здйстать на бщстнн сзнан
»3. 5 Оф
ц
альный сайт журнала «ная»: http://znamlit.ru (5.01.2019).
6 «Знамя»: очерк истории, http://znamlit.ru/history.html (5.01.2019).
7 .Ф. Алф
рнк, Поэтическая энергия слова. Синергетика языка, созна-
ния и культуры, Academia, Мска 2002, с. 17. POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH И нстря на
т, чт пдбны жсячны л
тратурн-худжстнны
бщстнн-пл
т
чск
журналы прдсталяют сбй
сгдня тдльный — эл
тарный — сгнт журнальнй п-
р
д
к
Рсс
, прт
стящ
й друг
нфрац
нны
птка, даж г структур наблюдатся
длг
чская
культурн-эстт
чская д
скртнсть
разбщннсть. Так, с днй стрны, нахдятся рад
кальны, ппз
ц
н-
ны
здан
я, прдящ
длг
ю нац
нальнг кнср-
ат
за, пддрж
ающ
трад
ц
нны патр
архальны
цннст
(«аш срнн
к»), с другй стрны, журналы,
р
нт
ранны на западны л
бральн-дкрат
чск
далы («ная»). «аш срнн
к», прначальн п-
чаташ
й прдста
тлй «дрнскй прзы» — Фдра
Абраа, Вас
л
я Бла, Сргя алыг
на, Валнт
на Рас-
пут
на, Влад
ра Слух
на, Вас
л
я Шукш
на — бъ-
я
л сбя «тр
бунй
днйш
х пл
т
к патр
т
ч-
скг напралн
я», ппз
ц
й прзападны устанка,
«дущ
к разрушн
ю Рсс
г
бл
русскг нарда»4. Журнал «ная», задуанный как
здан
л
тратурнг
бъд
нн
я Краснй Ар
Флта, с 1934 п 1990 гды
был рган Сюза п
сатлй СССР, гд, наряду с п
сатля-
сцрал
за, пчатал
сь такж Андрй Платн, Юр
й
Тынян, Алксандр Тардск
й, В
ктр крас, Юр
й
Казак, Кнстант
н С
н, Юр
й Тр
фн, В
ктр
Астафь, Варла Шала, пзж — Булат Окуджаа, Фа- Rusycystyczne Studia Literaturozn Rusycystyczne Studia Litera 56 з
ль Искандр, Люд
ла Птрушская, Влад
р Макан
н,
Грг
й Влад
, Вас
л
й Аксн, Влад
р Вйн
ч. В 1990 гду СМИ «бъя
л сбя нза
с
ы, тстя с
праа плутралтнй судбнй тяжб с Сюз п
сатлй
СССР»5; пстпнн пррат
лсь «
здан
, пслда-
тльн утрждающ
далы дкрат
тчстннг
л
брал
за»6. Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Так
браз, на прдсталятся цлсбразны рас-
стрть кгн
т
ны
наррат
ны хан
зы плщ-
н
я нктрых базых цннстй ткстах дух журнал,
сстящ
х ппз
т
ных тншн
ях. В качст базых
брат
ся к ду спряжнны цннстя эт
чскг тл-
ка: «дбр»
«ссть». 8 К.С. Грбач
ч, Словарь эпитетов русского литературного языка, -
р
нт, Санкт-Птрбург 2002; М.Р. Ль, Словарь антонимов русского
языка: более 2000 антоним. пар, Русск
й язык, Мска 1984; В.А. Мас-
ла, Лингвокультурология, Издатльск
й цнтр «Акад
я», Мска
2001; С.И. Ожг, .Ю. Шда, Толковый словарь русского языка: 80 000
слов и фразеол. выражений, Азбукн
к, Мска 1999; Ю.. Караул,
Г.А. Чркаса, .В. Уф
ца, Ю.А. Срк
н, Е.Ф. Та рас, Русский ас-
социативный словарь: в 2-х т., АСТ–Астрль, Мска 2002; Л.В. Грхн-
Грхн-
Грхн-
а, Т.М. Гршка, Е.Р. Прслг
на, Л.И. Руч
на, А.В. С
нла, Словарь
концептов русской народной сказки: в 2-х ч., Изд-
жгрд. ун-та,
жн
й грд 2011, 2015; А.П. Егньа (рд.), Словарь русского язы-
ка: в 4-х т., Пл
графрсурсы, Мска 1999; тй ж (рд.), Словарь сино-
нимов русского языка, АСТ, Мска 2003; П.. Дн
са, В.В. Мркк
н,
Словарь сочетаемости слов русского языка, АСТ, Мска 2005; М. Фас-
Фас-
Фас-
р, Этимологический словарь русского языка, пр. О.. Турбач, АСТ–
Астрль, Мска 2007. POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH В такй сязк ы
х рассатр
а
с
лу
х кплт
н-
нструнтальных (т сть дплн
-
тльн-спгатльных) тншн
й: р
л «дбра» я-
лятся т, чт н прт
рч
т «сст
»,
ны
сла
,
«ссть» стан
тся эт
чск
снан
зрн
я, п-
н
ан
я «дбра», разл
чн
я «дбра»
«зла». р
р
р
Мтдлг
чск
нструнт
зучн
я цннстй
ткстах ыбранных пчатных СМИ стал кнцпт — кгн
-
т
ная (ысл
тльная) катгр
я, прат
ная д
н
ца «па-
ят
культуры», кант знан
я; слжн, нжстк структу-
р
ранн сысл бразан
п
сатльн-бразнг
цннстн-р
нт
раннг характра7. Кнцпт тд-
лг
чск
рлантн п
сан
ю цннстных трансфрац
й,
пскльку
т ядрн-пр
фр
йную рган
зац
ю: ядр
структуры — эт цнтральны,
нар
антны сыслы к-
пннты, характр
зующ
ся сант
чскй стаб
льнстью,
а элнты пр
фр
бладают слаблннй, псрдан-
нй (част ассц
ат
нй, тафр
чскй, эт
лг
чскй
т.д.) сант
чскй сязью с цнтр. Пр
нц
п плг 57 структур
ран
я кнцпта пддрж
атся абслютны
бльш
нст рсс
йск
х л
нгкнцптлг (
на
да
Дан
лна Ппа, Ис
ф Абра
ч Стрн
н, Сргй Гр
г-
рь
ч Вркач,
клай Фдр
ч Алф
рнк, Влад
р
Иль
ч Карас
к, Гннад
й Гннадь
ч Слышк
н, Гр
гр
й
Валрь
ч Ткар). Для ф
ксац
прдлнных цннстн-сыслых транс-
фрац
й сначала кнстру
руют бщязыкую, узуальную
(т сть сстанлнную п
стр
чск
срнны
сларя) дль кнцпт, зат — д
скурс
ны дл
с цлью дальнйшг сранн
я
прдлн
я сыслй д
-
на
к
. e Studia Literaturoznawcze 2019 (29) Итак, узуальная дль кнцпта «ссть», п данны лк-
с
кграф
чск
х
стчн
к8, ыглядят слдующ
браз: usycystyczne Studia Literaturoznawcze 2019 ( — ядрная зна: 1. «чуст
сзнан
ральнй тт-
стннст
за с пдн
пступк
прд са
сбй,
прд кружающ
людь
, бщст»; 2. «нрастнны
пр
нц
пы, згляды, убждн
я»; — ядрная зна: 1. «чуст
сзнан
ральнй тт-
стннст
за с пдн
пступк
прд са
сбй,
прд кружающ
людь
, бщст»; 2. «нрастнны
пр
нц
пы, згляды, убждн
я»; Rusycystyczne Studia Literaturozn — клядрная зна: «срдст аплляц
к нрастнн-
эт
чск
нра с цлью ыя
ть нсттст
эт
нр-
а
ызать чуст стыда». POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH Оч
дн, чт ядрны кн-
цптуальны пр
знак
п
сыают нрастнн-эт
чск
58 пр
нц
пы л
чнст
с тчк
зрн
я
нд
дуальнг кнтр-
ля (члк са кнтрл
рут с пдн
, сущстлят
рфлкс
ю сбстнных дйст
й), а пр
ядрны — с тчк
зрн
я сц
альнг кнтрля (кружающ
цн
ают п-
ступк
нд
да, бщст пказыат у пра
льный а-
р
ант). Пр
эт нал
ч
сст
тсутст
языкй
карт
н
ра днзначн стнсны с б
нарны
ппз
-
ц
я
«хрш/плх»
«пра
льн/нпра
льн»; Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… р
р
р
— пр
фр
йная зна (пр
н
ал
сь н
ан
данны
ассц
ат
ных, эт
лг
чск
х сларй, сларй эп
т-
т): 1. «нчт, дсталяющ ф
з
чск
й
л
пс
хлг
ч-
ск
й д
скфрт» (больная, взбаламученная, возмущенная,
неспокойная, потревоженная, растревоженная, щекотли-
вая, мучает, грызет, гложет, жгучая); 2. «чт-т, сязанн
с спр
ят
ч
стты, ста» (кристальная, кристально-
чистая, незапятнанная, нечистая, черная, чистая, непогре-
шимая, свет); 3. «нчт, чт
т ф
з
чск
характр
-
ст
к
» (глубокая, глухая, растяжимая, бездонная, глиняная,
чугунная, резиновая); 4. «сязанн с прфсс
нальны
длг» (врачебная, общественная, партийная, политиче-
ская, юридическая, чекиста); 5. «сязанн с сстян
сна
паят
» (дремлющая, пробудившаяся, проснувшаяся, за-
бывчивая, спит); 6. «л
цр
, н
скрннсть слдст
утраты» (продажная, сговорчивая, потерянная, проданная,
змеиная); 7. «т, чт ялятся прж
тк пршлг, чт уж
н стрбан; н
ку ннужный
дал» (в шкафу на ве-
шалке, мечта идиота, советского человека, фантом); 8. «т,
чт
т рнную характр
ст
ку» (эпохи, нетленная,
давно); 9. «сязанн с ладн
нфрац
й» (знать, ве-
дать). Так
браз, пр
фр
йная зна сн
ат нзыбл-
ую
прат
нсть
кнстантнсть «сст
», даннй
част
пля эта цннсть прдстална тнс
тльн: ссть
н сгда нужна, на тпральн бусллна, на ызыат
блзннны щущн
я, жн пйт
на сдлку с сбстн-
нй сстью, эт срдст ст
заблуждн
члка
т.д. 59 П таку ж пр
нц
пу характр
зу бщязыкую -
дль кнцпта «дбр»: — ядрная зна: «с плж
тльн, хрш, т, чт пр-
т
псталн злу»; — ядрная зна: «с плж
тльн, хрш, т, чт пр-
т
псталн злу»; — клядрная зна: 1. «т, чт пр
нс
т пльзу»; 2. «щ
,
ущст»; 3. POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH «сглас
на чт-л
б, дбрн
пступка»;
4. «чнь хрш качст». Так
браз, сл
ядрная
сант
ка
т с ж абстрактный характр
кнцп
-
рут «дбр» с тчк
зрн
я «тлчннй» эт
к
, т к-
лядрны кпннты стра
ают «дбр» псдн-
н-практ
чскую бласть дятльнст
члка, сязанную
с прагат
кй г пступк, сц
альнй кун
кац
й,
атр
альны дстатк
т.д.; — зна пр
фр
: 1. «жл
, ласк, пр
тл
тншн
к ку-л
б; благжлатльнсть п тншн
ю
к ку-л
б» (добро пожаловать, мама, улыбка, нежность, ра-
дость); 2. «с, чт сязан с тчн
рн
, пршлы, па-
ятью» (детство, старость, на век, вечно, память); 3. «т, чт
дф
ц
т» (редко, редкость, кончается); 4. «т, чт дста-
лят эстт
чск удльст
, на чт пр
ятн стрть»
(цветы, сон, красота); 5. «снатльнсть рзультат труда»
(кузнец, ремесленник, художник); 6. «т, чт дсталят ф
з
-
чск удльст
» (выпивка, в штанах). — зна пр
фр
: 1. «жл
, ласк, пр
тл
тншн
к ку-л
б; благжлатльнсть п тншн
ю
к ку-л
б» (добро пожаловать, мама, улыбка, нежность, ра-
дость); 2. «с, чт сязан с тчн
рн
, пршлы, па-
ятью» (детство, старость, на век, вечно, память); 3. «т, чт
дф
ц
т» (редко, редкость, кончается); 4. «т, чт дста-
лят эстт
чск удльст
, на чт пр
ятн стрть»
(цветы, сон, красота); 5. «снатльнсть рзультат труда»
(кузнец, ремесленник, художник); 6. «т, чт дсталят ф
з
-
чск удльст
» (выпивка, в штанах). Rusycystyczne Studia Literaturozn Rusycystyczne Studia Liter Тпрь прйд к д
скурс
нй рал
зац
кнцпт
(для анал
за был зят сь асс
публ
ц
ст
чск
х ткст
за 2016 гд
з назанных журнал, рбал
зующ
х данны
кнцпты). POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH Для начала прдста
кл
чстнны характ-
р
ст
к
пр
знак кнцпт «ссть»
«дбр»: Параметр
«Знамя»
«Наш
современник»
Кл
чст рпрзнтант
(рбал
затр, бъкт
атр)
кнцпта «ссть»
кнцпта «дбр»
10
23
3
13 Параметр «Наш
современник» «Наш
современник» «Знамя» 10 23 60 ивная реализация…
Кл
чст кнткст
(случа рал
зац
,
уптрблн
й)
кнцпта «ссть»
кнцпта «дбр»
43
126
8
31
Кл
чст ыялнных
сант
чск
х пр
знак (групп,
сысл)
кнцпта «ссть»
кнцпта «дбр»
6
10
4
6 ализация…
Кл
чст кнткст
(случа рал
зац
,
уптрблн
й)
кнцпта «ссть»
кнцпта «дбр»
43
126
8
31
Кл
чст ыялнных Кл
чст кнткст
(случа рал
зац
,
уптрблн
й)
кнцпта «ссть»
кнцпта «дбр» Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… ивная реали
Кл
чст ыялнных
сант
чск
х пр
знак (групп,
сысл)
кнцпта «ссть»
кнцпта «дбр»
6
10
4
6 Кл
чст ыялнных
сант
чск
х пр
знак (групп,
сысл)
кнцпта «ссть»
кнцпта «дбр» Вплн ч
дна бщая тнднц
я кнцптуал
зац
ука-
занных нтальных кнструкт: так назыаый кнцпт-
«срдст» («ссть») прдсталн гразд ньшй
стпн
, ч кнцпт-«слдст
» («дбр»), чт гр
т н-
сфрул
раннст
, разытст
, ннятнст
са
х
з-
р
тльных срдст, тд, спсб, с пщью ктрых
пст
гаются цннст
,
ющ
бл тлчнный характр. Вра Антрпа, Вас
л
й Фдр Когн Чт ж касатся качстнных пказатлй, т ркнструк-
ц
я дл
кнцпта «ссть» д
скурс журнала «ная»
пказала слдующ: пр
зшл спадн
ядрнг д
скур-
с
нг сысла «нрастнный закн, ргул
рующ
й пд-
н
члка» (14 кнткст) с
днт
чны узус (т сть
языкй карт
н
ра), чт с
дтльстут б ун
рсаль-
нст
рассатр
аг кнцпта
ст с т — н
зк
птнц
ал бразан
я ных сысл. Однак бнаружн
д
н ный клядрный кпннт «фра рган
зац
дятльнст
ыскг качста» (11 ткстых фрагнт),
н стрт
ш
йся ран п
сан
узуальнй дл
. Эт
пзлят сдлать прдплжн
трансфрац
сысл,
тнднц
прхда сант
к
з сфры «тлчннй» нра-
стннст
прдтную плсксть пказатля качста дя-
тльнст
кг-л
б. Так
браз, качст кгн
т
нй
стратг
цннстнй трансфрац
ы тча кннта-
т
нсть, цнчнсть «сст
», так как эт
к-нрастнная
сант
ка уступат ст сант
к цнк
качста, блада-
ющй
сч
слястью, прагат
чскй
знястью. POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH 61 Журнал «аш срнн
к» гразд ньшй стпн
аплл
рут к кнцпту «ссть»
рассатр
ат г
с-
ключ
тльн раках трад
ц
ннй кгн
т
нй атр
цы,
гд пр
сутстуют с бщязыкы сант
чск
элн-
ты: «нрастнный гарант спрадл
ст
прад
ст
»
(6 кнткст), «чстнсть, прядчнсть» (3), «ттстн-
нсть за пр
нят
ршн
я» (3). Объкт
ац
я кнцпта «дбр» журнал «ная» г-
р
т б тсутст
как
х-л
б
знн
й ядр
пр
ядрнй
част
, так как цнтральный сысл «чт-л
б плж
тльн,
прт
псталнн злу» с ркрдн часттны пказатл
(81 кнткст) заплн
л практ
чск
с сант
чск пр-
странст, «пглт
» даж клядрную часть, журнал экс-
трапл
рал этт ажный
д
нстнный сысл на бль-
шй фрагнт пля. Эт с
дтльстут т, чт кнцпт
«дбр» даж д
скурс эл
тарнг журнала «ная» «закн-
ср
рался», ных тнднц
й раз
т
г цннстнг
птнц
ала
здан
пка н
д
т.
д
т, как на прд-
сталятся, п нскльк
пр
ч
на: 1. са сдржан
этй
цннст
сгдня скльк-н
будь нятн н сфрул
ран,
пэту журнал акс
альн стржн, слдуя акс
лг
-
чск
трад
ц
я русскй культуры, ртрансл
рут сант
-
ку «дбра»
т саы пддрж
ат бщязыкую карт
ну
ра; 2. нн «дбр», как н
какая другая цннсть, сгд-
ня сбнн затн пдргатся акс
лг
чску ыхла-
щ
ан
ю
рлят
зу, сяз
с ч
здан
пшл п пут
рпрдукц
, упрщн
я
закрплн
я цннстнг сдр-
жан
я (д
н базый сысл заплн
л днрнн ядрную
пр
ядрную зны). Rusycystyczne Studia Literaturoznawc Аналг
чную карт
ну, слдуя качстнны пказатля,
жн наблюдать
тншн
этг ж кнцпта д
скур-
с «ашг срнн
ка»: с бльш
прс л
д
рут
сыслй кпннт «чт-л
б плж
тльн, прт
п-
сталнн злу» (16 кнткст). Кл
чстнны ж данны
с
дтльстуют т, чт
здан
гразд ньшй стп-
н
актуал
з
рут этт кнцпт сзнан
ч
татлй. 62 Так
браз, цннстн-трансфрац
нны прцссы
п-разну плт
л
сь д
скурс
ных практ
ках «на-
н
»
«ашг срнн
ка». 9 Д.В. Барышн
ка, Когнитивный поворот в постклассической нарра то-
логии (Обзор новых англоязычных книг) // « л
тратурн бзрн
»
2013, № 119, www.magazines.russ.ru/nlo/2013/119/b32.html (5.01.2019). POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH «аш срнн
к» птр
л
языкую карт
ну
ра
схдя
з закна экн
рчых
ус
л
й, т саы пдтрд
статус кнсрат
нг
з-
дан
я
п фр,
п сдржан
ю. «ная», трансл
руя
сдржан
кнцпта «дбр», пддржал бщязыкую
карт
ну
ра, н пддааясь акс
лг
чску рлят
з-
у, а структур кнцпта «ссть» актуал
з
рал н
значн
плж
тльнй цнк
качста. С днй стрны,
жн гр
ть б акс
лг
чск ыхлащ
ан
сн
-
жн
статуса кнцпта, чт сттстут бщкультурнй
д
на
к, с другй — ппытк эл
тарнг
здан
я как
-
т браз актуал
з
рать, ран
рать, «бн
ть» на-
хдящ
ся глубк кр
з
с эт
чск
цннст
. Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Матр
алы, публ
канны «тлстых» л
тратурных
журналах, прдсталяют сбй ар
ант наррат
нг д
скур-
са. аррат
зац
ю жн рассатр
ать как спсб рал
-
зац
цннстных сысл фр устйч
ых пста-
тльных структур. В эт тншн
тксты экспл
ц
руют
кгн
т
ны (нтальны) дл
. Изучн
наррат
ных хан
з началсь трй п-
л
н XX ка, наррат
ная тр
я пршла элюц
ю т
структурал
стскг тлкан
я, рассатр
ающг п-
стан
как структуру, набр тдльных элнт, д кг-
н
т
ных
сслдан
й, ктрых
зучаются нтальны,
пс
хлг
чск
культурлг
чск
снан
я пр
зд-
ста наррат
9. Испльзуя тр
ю Тна ан Дйка стншн
кгн
т
-
нй (с
туац
ннй) дл
д
скурса, ы плуч
тд-
лг
чск
й аппарат для п
сан
я наррат
ных стратг
й р-
ал
зац
кнцпт «ссть»
«дбр». Учный тчат, чт «ажнйш
кпннт прцс-
с пстрн
я
спр
ят
я ткст ялятся сыслн
9 Д.В. Барышн
ка, Когнитивный поворот в постклассической нарра то-
логии (Обзор новых англоязычных книг) // « л
тратурн бзрн
»
2013, № 119, www.magazines.russ.ru/nlo/2013/119/b32.html (5.01.2019). 63 стящ
х за н
сц
альных с
туац
й
х кгн
т
ная
рпрзнтац
я»10. Так
браз, зн
кат ппз
ц
я: р-
альная сц
альная с
туац
я (фрагнт) vs. 10 Т.А. ан Дйк, Язык. Познание. Коммуникация: сборник работ, рд. пр.
В.И. Грас
, сст. В.В. Птр, Пргрсс, Мска, с. 161.
11 Та ж, с. 164.
12 W. Labov, Oral narratives of personal experience, http://ling.upenn.edu/~wla-
bov/Papers/FebOralNarPE.pdf (5.01.2019).
13 D. Schiffrin, Redoing and replaying // тй ж, In Other Words: Variation in
Reference and Narrative, Cambridge University Press, Cambridge 2006, с. 321. 12 W. Labov, Oral narratives of personal experience, http://ling.upenn.edu/~wla-
bov/Papers/FebOralNarPE.pdf (5.01.2019). 10 Т.А. ан Дйк, Язык. Познание. Коммуникация: сборник работ, рд. пр.
В.И. Грас
, сст. В.В. Птр, Пргрсс, Мска, с. 161.
11 Та ж, с. 164. 10 Т.А. ан Дйк, Язык. Познание. Коммуникация: сборник работ, рд. пр.
В.И. Грас
, сст. В.В. Птр, Пргрсс, Мска, с. 161. 13 D. Schiffrin, Redoing and replaying // тй ж, In Other Words: Variation in
Reference and Narrative, Cambridge University Press, Cambridge 2006, с. 321. 12 W. Labov, Oral narratives of personal experience, http://ling.upenn.edu/~wla-
bov/Papers/FebOralNarPE.pdf (5.01.2019).
13 D. Schiffrin, Redoing and replaying // тй ж, In Other Words: Variation in
Reference and Narrative, Cambridge University Press, Cambridge 2006, с. 321. POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH прдсталн
нй, ктрая сущстут
д сцнар
я,
л
фрйа, пр
-
бртннг рзультат сц
культурнг пыта,
н ы-
ступат н тльк шаблн для пр
здста наррат
а,
н сг рда
нтрпртац
ннй ракй. Втрй элнт
прдлят пстрн
д
скурса (чт
как ы буд г-
р
ть, сталк
аясь ральнй с с
туац
й
л
п
сыая
рч
): «Кгн
т
ны дл
ссталяют рфрнц
альный
баз
с для
нтрпртац
д
скурса, а н ‘фрагнт ральн-
г
ра’,
л
с
туац
й»11. Эт пзлят на ыя
ть
п
-
сать н прст набры ткст, а слж
ш
ся данн т
п
кун
кац
пстатльны структуры, яляющ
ся
атр
цй для пстрн
я кнкртных ткст
трансл
рую-
щ
гты нтальны
цннстны стрт
пы. usycystyczne Studia Literaturoznawcze 2019 ( Спсбнсть пстатльных длй ыступать нс
-
тл культурнй
нфрац
пыта пдтрждат
У
-
лья Лаб,
сслдаш
й устны рассказы англязычных
рспнднт: «These forms of communication may draw upon
the fundamental human capacity to transfer experience from one
person to another through oral narratives of personal experience»12. Rusycystyczne Studia Literaturozn Rusycystyczne Studia Litera Дбра Ш
ффр
н прдлжат
сслдан
наррат
,
указыая на разрабтанны У
лья Лаб т
п
чны
сц
л
нг
ст
чск
тды. Атр тчат: «Narrative is
a form discourse trough which we reconstruct and represent past
experience both for ourselves and for others»13. Мжн гр
ть
т, чт зн
кл кгн
т
н напралн
зучн
наррат
. В цнтр
сслдан
й казыатся за
сязь 64 сц
культурнг пыта члка
хан
з г рчй
рпрзнтац
. сц
культурнг пыта члка
хан
з г рчй
рпрзнтац
. Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Для нас ажн тз
с б
зрфнст
кгн
т
ных ха-
н
з, тчающ
х за пстрн
устных пстан
й
л
чн пыт людй,
длй наррат
а д
скурс «тл-
стых» л
тратурных журнал. Так
браз, д
скурс
ная рал
зац
я кнцпт «с-
сть»
«дбр» кнстру
рутся псрдст наррат
ных
структур, ктры задйстуют разл
чны сыслы кп-
ннты кнцпт. 14 И.T. Ян
н, Черноморская Пальмира // «аш срнн
к» 2016, № 9,
http://nash-sovremennik.ru/archive/2016/n9/1609-14.pdf (5.01.2019). Вс ы- POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH Сущстан
так
х наррат
прд-
лятся нал
ч
т
п
чных
стр
й,
л
«сюжт», ыступа-
ющ
х культурны
д
н
ца
кллкт
нг пыта, т сть
прдсталяют сыслы
цннст
д рассказ, ктры
ют структурн-сдржатльн тждст. аша задача
сст
т т, чтбы ыя
ть
п
сать такй набр нарра-
т
д
скурс «тлстых» л
тратурных журнал, фр-
ру публ
ц
ст
чск
, кр
т
чск
атр
ала
,
прдл
ть, как
браз н
рпрзнт
руют цннстны
трансфрац
срнн рсс
йск бщст. Оп
раясь на сц
культурную
длг
чскую характ-
р
ст
ку журнал «ная»
«аш срнн
к», ы ж
гр
ть разл
чных ар
антах наррат
зац
кнцпт
«ссть»
«дбр». В журнал «аш срнн
к» кнцпт «ссть» рал
зу-
тся наррат
нй дл
, ктрая пстрна на прт
ст-
ян
стлкнн
, ральных
прдплагаых. С днй
стрны, эт нутрнн
й кнфл
кт, плщающ
й ядрный
сысл «чуст
сзнан
ральнй ттстннст
за
с пдн
пступк
прд са
сбй, прд кружа-
ющ
людь
, бщст». апр
р: Кпнсац
нны лспсадк
Х
ках
крстнстях благплучн
пр
нял
сь
бщают ыраст
лучш пржн
х. А чт ж блудная дчь Х
-
к
нскг лса? В 2015 гду на ст с сй сьй прхала Эст-
н
ю на пстянн ст ж
тльста. Пчу? Ссть зала? пхж14. 14 И.T. Ян
н, Черноморская Пальмира // «аш срнн
к» 2016, № 9,
http://nash-sovremennik.ru/archive/2016/n9/1609-14.pdf (5.01.2019). Вс ы- 65 С другй стрны, ншн
й кнфл
кт, бъкт
рующ
й
клядрный кпннт: «срдст аплляц
к нрастн-
н-эт
чск
нра с цлью ыя
ть нсттст
эт
нра
ызать чуст стыда», — ыплняющ
й функц
сц
альнг кнтрля: «нат, чт ны члны Ерсюза
ыпраш
ают грны срдста, бз зазрн
я сст
кр
ча
б угрз»15. Пр
эт, бльш
нст уптрблн
й кнфл
кт
этт тльк прдплагатся, н
тг н сущстлятся. Та-
кй устйч
ый сыслй кпннт («н
г», «нсст-
яшгся» кнфл
кта) пдчрк
ат р
нтац
ю журнала,
д
скурс ктрг срнн бщст
тдльный
н-
д
д бльш
нст с н стра
аются трад
ц
нны
ральн-эт
чск
пр
нц
пы, с «
н» (сбнн запад-
н) н
т сй цннстнй
рарх
сст
. 15 Та ж. д л н
я ткстых фрагнт пдчркнуты шр
фт пр
надлжат
атра стать
.
15 Та ж. 16 Е.П. Щгла, Вера, истина, справедливость — и дочка Маша // «ная»
2016, № 4, http://znamlit.ru/publication.php?id=6242 (5.01.2019).
17 Та ж. POZNAWCZO-NARRACYJNA REALIZACJA POJĘĆ „SUMIENIE” I „DOBRO”
W DYSKURSIE CZASOPISM LITERACKICH Пказат-
лн эт сысл прый пр
р, ктр
спльзан б
-
блйск
й
нтрткст (блудная дчь), днстр
рующ
й ухд
т сст
, птрю. Са кнфл
кт, «наррат
прт
стя-
н
я», рпрзнт
рут пз
ц
ю журнала как «фрпста» с-
ст
хат
чнй дйст
тльнст
, пстянную г брьбу за
ссть. Пэту журнал «аш срнн
к» пр
схд
т
аплляц
я к кллкт
нй сст
, на эт указыат ыская
часттнсть фразлг
чск
х
д
ат
чск
х д
н
ц (за-
уч
ла ссть, бз зазрн
я сст
). Rusycystyczne Studia Literaturozn В д
скурс журнала «ная» наррат
ная рпрзнтац
я
кнцпта «ссть» бнаруж
ат другую закнрнсть. «Кнфл
ктный сюжт» трансфр
рутся сюжт нра-
стнн ыбр тдльнг члка
л
гря худжстн-
нг пр
здн
я. Ины
сла
, ссть прдстат как
нд
дуальный ыбр, как ршн
«Я» сблюдать пр
нц
-
пы
л
тказаться т н
х: В д
скурс журнала «ная» наррат
ная рпрзнтац
я
кнцпта «ссть» бнаруж
ат другую закнрнсть. «Кнфл
ктный сюжт» трансфр
рутся сюжт нра-
стнн ыбр тдльнг члка
л
гря худжстн-
нг пр
здн
я. Ины
сла
, ссть прдстат как
нд
дуальный ыбр, как ршн
«Я» сблюдать пр
нц
-
пы
л
тказаться т н
х: И пчу члчская пр
рда устрна так, чт саы
гршны
чустуют сбя с н т, ку эт пр
стал? Пчу стыд грызт саых д л н
я ткстых фрагнт пдчркнуты шр
фт пр
надлжат
атра стать
. 15 Та ж 66 17 Та ж. прядчных
дстйных, т ря как бссстны прбыают п-
к
благплуч
?16 прядчных
дстйных, т ря как бссстны прбыают п-
к
благплуч
?16 Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Я тчаянн, страшн
нат, даж н прд ч
татл, а пржд сг
прд сбстннй сстью за лжь с
х пстях, ктрую так длг
ыдаал за праду, — слн бы гр
т са
дух этй кн
г
Л. Пан-
тл, а частнст
, «сй рукй ыл этт пдзаглк (т.. чт п-
сть «атб
граф
чская», как нап
сан сх
здан
ях). И т
тпрь расплач
аюсь17. Пказатльна лкс
чская счтасть (ссть: атр,
я, сбстнная). В такй
нд
дуальнй ттстнн-
ст
прд сстью зн
кат д
станц
я прд са
-
прат
сст
, абстрактны пнят
, н случайн
ссть публ
кац
ях журнала «ная» ыступат как т-
длнная т члка ысшая с
ла. Так
браз, нарра-
т
ная рал
зац
я кнцпта «ссть» спадат с узуаль-
нй длью (бщязыкй), днак здсь ы наблюда
нтллктуальн-рац
нал
ст
чск пн
ан
сст
,
анал
т
чск
тдляющ нру, ктрая сущстут нза-
с
т л
тдльнг члка,
слдан
этй нр-
как
д. Важн тт
ть щ д
н ктр наррат
зац
кнцпта
«ссть» д
скурс журнала «ная». Так, ы уж бращал
н
ан
на пялн
нг, прагат
чск
р
нт
ран-
нг сыслг кпннта «фра рган
зац
дятльн-
ст
ыскг качста». Вслдст
этг пя
лся наррат
дбрсстн ыплнн
с
х бязаннстй («дбр-
сстн»), качстнн, а н кл
чстнн стт-
ст
нра сст
. Мжн сказать, чт, с днй стрны,
дбрсстнсть стан
тся
нструнт плщн
я с-
ст
псдннст
, сзнан
дятльнст
нд
да. С другй стрны, с
туац
цннстных трансфрац
й
дбрсстнсть ыступат сязующ
зн жду л
ч- 67 нстны пыт
абстрактнй катгр
й, устанал
ат
сыслы тншн
я. Так
браз, «тлсты» л
тратурны журналы «аш
срнн
к»
«ная», акт
з
руют сршнн разны
кгн
т
ны дл
(Т. ан Дйк) кнцпта «ссть». Пр
здан
прдлагат брьбу за ссть, гр
т дградац
этй цннст
срнн
р,
спльзуя наррат
брь-
бы
стлкнн
я дух с
л. 18 Т.Л. М
рна, Разговор по-русски — разговор по душам // «аш ср-
нн
к» 2016, № 8, http://www.nash-sovremennik.ru/archive/2016/n8/1608-
11.pdf (5.01.2019). Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… Вра Антрпа, Вас
л
й Фдр Когнитивно-нарративная реализация… 19 И.Т. Ян
н, Блестящий сочинский гамбит // «аш срнн
к» 2016, № 11,
http://www.nash-sovremennik.ru/archive/2016/n11/1611-14.pdf (5.01.2019). прядчных
дстйных, т ря как бссстны прбыают п-
к
благплуч
?16 Втр
здан
рпрзнт
рут
ссть как л
чнстную катгр
ю
длат ппытку найт
сязь жду частны,
нд
дуальны пыт
дй «с-
ст
», фр
руя наррат
«сбднг ыбра». у
аррат
ная рал
зац
я кнцпта «дбр» акт
н
спль-
зутся д
скурс журнала «аш срнн
к». В цл, на
сттстут узуальнй дл
(бщязыкй), н транс-
фр
рут ядрный сыслй кпннт «с плж
тль-
н, хрш, т, чт прт
псталн злу». Так, ыстра
а-
тся наррат
ная дль, ктрй «дбр» сязан с паятью
пршлы, чт пзлят гр
ть прт
псталн
дбрых/ндбрых (
дй, качст, людй), эт прждат сю-
жт «с
х»
«чуж
х». Ины
сла
, с дбр сязан
с, чт сттстут цннстя
нра,
рззрн
ю
журнала «аш срнн
к», «дбр» прдлят пра на
сущстан
, пскльку эт ысшая катгр
я, н над
бъяснять. дсь ажн пдчркнуть, чт д
скурс журнала
«аш срнн
к» рактуал
з
руются дрнйш
сыслы
кнцпта «дбр», так
как «хрш сдланный, пра
ль-
ный, сттстующ
й нр», чт
пзлят пр
нять
этт кнцпт для устанлн
я лг
т
нст
пра
льнст
чг-л
б. Так
браз, фр
рутся наррат
, пстрн-
ный на ппз
ц
«ы»–«н
», ар
антах «сй»–«чужй»,
«закнный»–«нзакнный»: Rusycystyczne Studia Literaturozn эт ж крн, сп
танн нас «люд
пгут!» д
жт на
,
кгда на случатся пр
хд
ть на пщь друг
,
даж сйчас, па-
скудн ря, кгда цлы с
нд
каты, эксплуат
руя
нал
д, калк,
аллтк, пста
л
на службу сг крыстнг бгащн
я наш
д-
бры
скрнн
чуста,
люд
, зная, чт ппршайк
, убг
, «
нал
- 68 ды», «люд
нстны» —
нструнт наж
ы руках прступнг
ра,
с ран тянутся к кшлька, пту чт пгать — н сзнан
на-
ш, а характр, кр
18. ды», «люд
нстны» —
нструнт наж
ы руках прступнг
ра,
с ран тянутся к кшлька, пту чт пгать — н сзнан
на-
ш, а характр, кр
18. Сгдня Рсс
пр
хд
тся факт
чск
зан сстанал
ать утра-
чнн пр
здст, ытснять с тчстннг аптчнг рынка нд-
брсстных
нстранных пр
зд
тлй19. Сгдня Рсс
пр
хд
тся факт
чск
зан сстанал
ать утра-
чнн пр
здст, ытснять с тчстннг аптчнг рынка нд-
брсстных
нстранных пр
зд
тлй19. В д
скурс журнала «ная» ы бнаруж
л
сущста-
н
нскльк
х наррат
ных длй, п
ш саы частт-
ны
з н
х. В-прых, эт наррат
, ктр дбр рас-
крыатся как нрастнн-эт
чская катгр
я (дбрый,
дбрпрядчный, дбрсрдчный
т. п.), качст чл-
ка. В так
х ткстах рчь
дт зжнст
сттстать
члка гуан
ст
чск
цннстя. В-трых,
стр
дбр как нкй нр сц
альнй рган
зац
члч-
скй ж
зн
(распрстраннн
спльзан
н
сущ-
ст
тльнг «дбр»
г лкс
чск
х фр). В-трть
х,
аплляц
я к дбру как усл
ю пр
знан
я чг-л
б, т сть
«дбрн
». Сущстан
эт
х трх наррат
ных ар
ан-
т нь тсылат нас к «эгцнтр
чскй» пз
ц
, кт-
рй члк са тчат за с
пступк
, рган
зут сй
л
чный пыт. В эт сысл дбр как нкая нра рпр-
знт
рут абстрактн-ф
лсфскую катгр
ю, тдлнную
т псднных практ
к прстг члка, н пр
сутстут
как бъкт
ная
дя. Тгда дбрн
/ндбрн
стан-
ятся прялн
л
, акт
нг начала. Пказатльн, чт
наррат
, гд сыслй кпннт «дбрн
»
грат
ажную рль, пялятся кр
т
чск
-
рн
чск тнш-
н
к субъкту, пря
шу сю лю: Вра Антрпа, Вас
л
й Фдр Когн 69 Эт ант
западн пклн
, сющся над западн
ка
-л
брала-
дбряющ прснал
стск
й рж
Пут
на, п сут
дла, пр
састятльн нза
с
пклн
с плн западны
быты
пр
ычка
даж труды
наыка
. Он
хтят
уют зарабаты-
ать дньг
с пщью напряжннг кал
ф
ц
раннг труда20. Ины
сла
, дбрн
— дйст
, бнаруж
ающ
лю члка
г спсбнсть сттстать
дя д-
бра, спрадл
ст
. Так
браз, наррат
ная рал
зац
я кнцпта «д-
бр» журналах «аш срнн
к»
«ная» экспл
ц
ру-
ют слдующ
кгн
т
ны дл
: дбр как с закнн,
пра
льн, тл
чающ с
х т чуж
х,
дбр как нра-
стнн-эт
чская катгр
я, как ыбр
нд
дуальнг с-
знан
я, прялн
г л
. Сгдня Рсс
пр
хд
тся факт
чск
зан сстанал
ать утра-
чнн пр
здст, ытснять с тчстннг аптчнг рынка нд-
брсстных
нстранных пр
зд
тлй19. usycystyczne Studia Literaturoznawcze 2019 ( Итак, д
скурс «тлстых» л
тратурных журнал стан
т-
ся транслятр цннстных трансфрац
й рсс
йск
бщст. а пр
р кгн
т
нй
наррат
нй рал
-
зац
кнцпт «ссть»
«дбр» жн сдлать ыд,
с днй стрны, сущстан
с
туац
культурнг
нгбраз
я срнн русскязычн д
апрстран-
ст, с другй стрны, стлкнн
л
бральн р
нт
-
раннй
кнсрат
нй с
ст цннстй. Rusycystyczne Studia Literaturoz Rusycystyczne Studia Litera Исслдан
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Effective mobility of BCC dislocations in two-dimensional discrete dislocation plasticity
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Computational materials science
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Effective mobility of BCC dislocations in two-dimensional discrete dislocation plasticity
Katiyar, T.; Van der Giessen, E. Published in:
Computational Materials Science 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 Link to publication in University of Groningen/UMCG research database Citation for published version (APA):
Katiyar, T., & Van der Giessen, E. (2021). Effective mobility of BCC dislocations in two-dimensional
discrete dislocation plasticity. Computational Materials Science, 187, Article 110129. https://doi.org/10.1016/j.commatsci.2020.110129 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). University of Groningen University of Groningen Effective mobility of BCC dislocations in two-dimensional discrete dislocation plasticity
Katiyar, T.; Van der Giessen, E. Effective mobility of BCC dislocations in two-dimensional discrete
dislocation plasticity T. Katiyar , E. Van der Giessen * Zernike Institute for Advanced Materials, University of Groningen, Groningen 9747AG, The Netherlands A R T I C L E I N F O Keywords:
Discrete dislocation plasticity
BCC crystal
Dislocation mobility
Strain rate sensitivity Two-dimensional discrete dislocation plasticity (2D-DDP) has shown to be a powerful tool for studying micro-
plasticity problems such as size effects in single crystals, fracture of bimaterial interfaces, delamination of thin
films, fatigue crack growth etc. The power of 2D-DDP lies in the application of edge dislocation dipoles as the
vehicle for plastic slip: the loss of accuracy in the description of dislocation structures is counter-balanced by its
simplicity and the possibility to reach larger plastic strains. The constitutive rules for dislocation evolution in 2D-
DDP used so far are tuned to FCC crystals and need to be modified to be used for BCC materials. One of the key
challenges in extending the method to BCC materials is that, contrary to FCC, the mobilities of edge and screw
dislocations in BCC crystals differ vastly from each other, so that the screw mobility will be rate limiting the
plastic slip. Thus, a method is required to map the edge and screw mobilities of dislocation loops into an effective
mobility to be used in 2D. To do so, we here propose a 3D-to-2D procedure that is based on the notion of
conservation of in-plane plastic strain rate. The consequence of this approach is that the effective 2D mobility for
FCC crystals is not simply equal to the uniform mobility of a dislocation loop, as has been assumed by all 2D
models to date, but also on the size of edge dipoles. In order to assess the consequences of this departure from the
current literature, we considered a few key problems involving plasticity size effects and crack growth, and
compared the predictions assuming constant mobility versus the proposed effective mobility. After observing
that, overall, the predictions do not deviate substantially, we proceed with application of the 3D-to-2D procedure
to compute the effective 2D mobility for BCC materials based on their edge and screw mobilities. The validation
of the approach is done by comparison of the predicted rate sensitivity of polycrystalline iron with the experi
mental rate sensitivity at room temperature, which are found to be in fairly good agreement. Copyright strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of th
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-
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E-mail address: E.van.der.Giessen@rug.nl (E. Van der Giessen). Available online 12 November 2020
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https://doi.org/10.1016/j.commatsci.2020.110129
Received 6 March 2020; Received in revised form 2 October 2020; Accepted 4 October 2020 Available online 12 November 2020
0927-0256/© 2020 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
* Corresponding author.
E-mail address: E.van.der.Giessen@rug.nl (E. Van der Giessen).
https://doi.org/10.1016/j.commatsci.2020.110129
Received 6 March 2020; Received in revised form 2 October 2020; Accepted 4 October 2020 * Corresponding author.
E-mail address: E.van.de 1. Introduction Rice [20] showed that this
can be reconciled with the 12 slip systems of type {111}〈110〉of FCC
crystals by considering edge dislocations to glide on three effective slip
systems, as illustrated in Fig. 1; for example, by assuming equal activity
in the [110] and [011] directions on the (111) plane yields a slip plane for
2D-DDP in the [121] direction. A similar construction leads to three
effective slip planes for 2D-DDP of BBC crystals having 12 slip systems. The objective of the present work is to devise and establish a meth
odology to incorporate the widely different edge and screw mobilities
into an effective mobility Meff that can represent BCC dislocations in 2D-
DDP. To this aim, and after a recap of the objectives and limitations of
2D-DDP, we propose a 3D-to-2D procedure in Section 3 which projects
the expansion of a 3D dislocation loop to 2D dipoles based on the con
servation of in-plane plastic shear rate. The resulting effective mobility
of 2D dislocations in FCC crystals is found not to be constant, as assumed
till date in 2D-DDP computations, but to be a function of loop size. To
asses the influence of this discrepancy on past results obtained by simply
assuming a constant effective mobility, a number of key 2D-DDP pre
dictions published in the literature are re-explored in Section 4. After
observing that, overall, the predictions do not deviate substantially, we
proceed in Section 5 by applying the 3D-to-2D procedure to compute the
effective 2D mobility for BCC crystals based on their edge and screw
mobilities. In order to validate the obtained effective mobility, 2D-DDP
predictions of the rate sensitivity of the yield strength in α-iron at room
temperature are compared against experimental data available in the
literature. Section 6 describes the employed 2D-DDP framework for the
prediction of the rate sensitivity and the validation approach. The rate-
sensitivity calculations are then presented in Section 7 and the findings
are discussed in Section 8. Finally, the important conclusions and im
plications of the study are shortly summarized in Section 9. Plastic deformation can be either computed explicitly as the average
plastic strain rate over small samples of volumes (see, e.g., [21]) and
passed-on to a crystal plasticity model or determined implicitly by
keeping track of the motion of individual dislocations while solving a
boundary-value problem [6]. 1. Introduction microplasticity and the associated dislocation microstructure but
despite recent accelerations [3] they suffer from the high computational
burden associated with the complicated geometry of dislocation loops
and their complex interactions in 3D [4]. Simplification of the loop
shape, as proposed very recently in [5], indeed drastically reduces
computing times, but the implications of the assumptions made have not
been fully assessed. Therefore, the use of two-dimensional plane strain
DDP models (2D-DDP) has been popular during the past two decades,
especially after the inception of a versatile superposition method for
solving complex boundary value problems by Van der Giessen and
Needleman [6]. Even though it cannot capture detailed aspects of 3D
dislocation microstructures, 2D-DDP has shown to be a powerful tool in
understanding many aspects of dislocation physics. It has been suc
cessfully applied to study some key micro-plasticity problems such as
size effects in single crystals [7,8] and polycrystals [9], bending [10], Dislocations are the fundamental carriers of plastic flow in ductile
crystals. The discreteness of dislocations plays an important role at the
micron/sub-micron scale where several features of deformation are
directly affected by the motion and interaction of individual disloca
tions. While the dislocations are averaged in a continuum sense in
traditional continuum plasticity models, atomistic models cannot
address large numbers of dislocations. This has led to the emergence of
the discrete dislocation plasticity (DDP) methodology which, in terms of
length and time scales, sits between continuum and atomistics plasticity;
that is, it adopts a continuum description of the crystal lattice while
retaining dislocations as discrete entities (see Po et al. [1] and El-Awady
et al. [2] for comprehensive reviews). Fully three-dimensional disloca
tion dynamics simulations have been extensively used to investigate Computational Materials Science 187 (2021) 110129
Fig. 1. Effective slip systems in FCC and BCC crystals allowing for plane strain plastic deformation in the respective x1–x2 planes according to Rice [20]. 3D slip
systems are shown dashed, while effective 2D slip planes are indicated with thick lines. T. Katiyar and E. Van der Giessen Computational Materials Science 187 (2021) 110129 T. Katiyar and E. Van der Giessen Fig. 1. Effective slip systems in FCC and BCC crystals allowing for plane strain plastic deformation in the respective x1–
systems are shown dashed, while effective 2D slip planes are indicated with thick lines. Fig. 1. 1. Introduction In either approach, and following [18,6],
the long-range interactions between dislocations are incorporated
directly through the continuum elastic fields, while short-range in
teractions are formulated as distinct constitutive rules. These constitu
tive rules for edge dislocations are designed to be simple, yet without
compromising the essential physics. For this reason, in 2D we use
dislocation dipoles, where the sign of the Burgers vector magnitude
reflects the line direction (into or out of the plane of consideration). Such
a dipole can be regarded as a sideview or a projection of a dislocation
loop in a direction parallel to the loop, as illustrated in Fig. 2. In this
way, the displacement discontinuity is contained on the line between the
two edge dislocations, just like the displacement discontinuity in the 3D
view is bounded by the dislocation contour. 1. Introduction Effective slip systems in FCC and BCC crystals allowing for plane strain plastic deformation in the respective x1–x2 planes according to Rice [20]. 3D slip
systems are shown dashed, while effective 2D slip planes are indicated with thick lines. Fig. 2. (a) Top view of dislocation loop on slip plane and (b) side view of edge
dipole with the same Burgers vector as a 2D projection. fatigue crack growth [11], fracture of bimaterial interfaces [12] and
plastic deformation in thin films [13,14]. Though widely applied, the existing 2D-DDP framework is limited to
face-centered cubic (FCC) crystals. In order to study microplasticity in
body-centered cubic (BCC) crystals, the framework needs to account for
important aspects of plasticity in BCC crystals that are distinctly
different from FCC crystals. One of these key differences, apart from the
different slip systems, is that screw and edge dislocations in BCC crystals
have vastly different mobilities: the screw segments are much less mo
bile than non-screw segments owing to a high lattice friction experi
enced during their motion. This is due to the non-planar cores of the
screws which makes it difficult for them to move, especially at low to
moderate stress levels and temperatures (see [15,16]). As a conse
quence, during plastic deformation, the loops become elongated due to
the fast-moving edge segments, resulting in a high density of slow
moving screw dislocations. Therefore, screw dislocations are established
to be the dominant defects governing the plastic deformation in BCC
crystals with their mobility controlling the rate of the deformation. However, in 2D-DDP only edge dislocations exist. To simply assign these
edge dislocations either the mobility of pure edge or pure screw seg
ments would be an inaccurate representation of the BCC dislocations in
two-dimensions. Fig. 2. (a) Top view of dislocation loop on slip plane and (b) side view of edge
dipole with the same Burgers vector as a 2D projection. Kubin et al. pioneered with simulating the dynamics of systems of par
allel edge dislocations under the influence of long-range interactions
between dislocations, e.g. [17–19]. In a second stage, it was realized that
moving edge dislocations can be used to describe mesoscopic plasticity,
as a phenomenon emerging from the continuously evolving slipped
distance. By construction, the evolution of parallel edge dislocations
generates plane strain plastic deformation. 2. Two-dimensional DDP Frank-Read sources emerge naturally during 3D
dislocation dynamics simulations, but in most 2D simulations they are
assumed to be present from the start of the simulation and interpreted as
remainders from previous plastic deformation. The strength of a
Frank–Read source is determined by the length of the generating
segment [22], but in 2D the latter information is not available. The
majority of 2D-DDP studies therefore simply assumed a Gaussian dis
tribution of source strengths. Some years ago, however, Shishvan and
Van der Giessen [14] returned to the relation between Frank–Read
length and the critical stress τnuc and proposed a log-normal distribution
of Frank-Read lengths that is restricted by the size of the grain. The
resulting distribution of source strengths is nearly log-normal too; the
lowest strength is determined by the largest grain and the strength is
bounded at high values by the theoretical shear strength of the material. In order to account for the fact that bowing-out of sources may be
constrained by various obstacles, the log-normal source strength in the
model of Shishvan and Van der Giessen [14], τLN
nuc , is taken to be
moderated according to 2D-DDP, obviously, cannot account for the detailed short-range in
teractions between dislocation loops leading to, for instance, locks
which may subsequently act as obstacles or evolve into Frank-Read
sources. The objective of DDP with straight edge dislocations is to pro
vide a platform to describe plastic deformation taking into account the
effects of long-range dislocation interactions and source-limited plas
ticity. Despite its simplicity, DDP studies of FCC single crystals and
polycrystals in 2D have shown to be able to capture size effects in, for
example, tension [8], bending[10] and indentation [23]; to predict the
Hall–Petch effect [9] and to provide insight in the dual role of disloca
tions in crack propagation [24]. While these studies aimed primarily at
qualitative results, it has also been possible to quantitatively predict size
effects in thin films [13,14] and micro cantilevers [25] using dedicated
models with appropriate fitting to a single set of experimental results. The dimensions of the regions analyzed in these cited works and the
strain levels achieved are feasible thanks to the simplicity of the 2D
model; similar studies in 3D would require dramatically more compu
tational resources and more refined initial conditions. As a compromise,
Benzerga et al. 2. Two-dimensional DDP This projection from 3D loops to 2D dipoles has been used explicitly
to define the Frank-Read source in 2D-DDP. In 3D, a Frank-Read source The field of discrete dislocation plasticity was initiated by a long
standing interest in dislocation pattern formation. Ghoniem et al. and 2 Computational Materials Science 187 (2021) 110129
Fig. 3. (a) Elliptical dislocation loop on x-z plane with Burgers vector b and major and minor axes, 2p and 2q, respectively. t and n are the unit line vector and unit
normal vector of a dislocation segment, respectively. N is the unit normal to the x-z plane. Ms and Me are the mobilities of pure screw and edge segments,
respectively. (b) Edge dislocation–dipole on the x-z plane, denoted by ‘T’ symbols with the as yet unknown effective mobility Meff. T. Katiyar and E. Van der Giessen Computational Materials Science 187 (202 Computational Materials Science 187 (2021) 110129 T. Katiyar and E. Van der Giessen Fig. 3. (a) Elliptical dislocation loop on x-z plane with Burgers vector b and major and minor axes, 2p and 2q, respectively. t and n are the unit line vector and unit
normal vector of a dislocation segment, respectively. N is the unit normal to the x-z plane. Ms and Me are the mobilities of pure screw and edge segments,
respectively. (b) Edge dislocation–dipole on the x-z plane, denoted by ‘T’ symbols with the as yet unknown effective mobility Meff. stress acting on the leading dislocation in a pile-up exceeds the obstacle
strength τobs, it is released to move past the obstacle. is a pinned dislocation segment that bows out in the direction of its
Burgers vector under the influence of an applied shear stress; when the
stress is sufficiently high, the bowed-out configuration becomes unsta
ble, the loop bows around the pinning points until segments with
opposite line direction meet, annihilate and leave a free dislocation loop
and a copy of itself. In 2D, the Frank-Read segment is projected onto a
point, which generates a dislocation dipole when the shear stress has
maintained the critical value τnuc (representing the stress for which the
bowed-out segment becomes unstable) for a sufficiently long time (to
represent the time between the unstable configuration at τnuc and the
complete loop) [6,22]. 2. Two-dimensional DDP [26] proposed an extension of the set of constitutive rules
summarized above which incorporate some short-range 3D effects. In this paper, we will stay with the standard 2D formulation and
make a first step towards a DDP formulation for BCC crystals. 4.1. Background and introduction where Fn is the magnitude of the Peach-Koehler force resolved in the
glide plane and normal to the segment. Under an applied shear stress σxy,
Fn is given by Fn = σxyb.The plastic strain rate tensor ˙ε induced by the
expanding loop in a certain volume V is given by As summarized in Section 2, 2D-DDP has been used extensively in
studying the size-dependent plastic behaviour under tension of FCC
specimens with dimensions below tens of microns. These studies aimed
at revealing what the key physical mechanisms are behind, for instance,
the Hall–Petch effect in bulk polycrystals [9] and to either falsify or
substantiate strain gradient plasticity theories, see e.g. [35]. In view of
the relevance for the behaviour of thin films, a significant fraction of
these studies were performed for thin films with columnar grains, e.g. [13,36,14], a configuration that was investigated under plane strain
conditions in experiments carried out by Xiang and Vlassak [37]. ˙ε = 1
2V
∮
vLP dl(N ⊗b + b ⊗N),
(3) (3) where the integral is the rate of change of the area swept by the loop and
N is the unit normal to the slip plane. For the N and b as described by the
loop in Fig. 3(a) and with the aid of Eq. (2), the only non-zero compo
nent of ˙ε is given by A second group of studies has been concerned with the effect of
limited plasticity on crack propagation, either under monotonic or cyclic
loading [24,11,12]. A two-dimensional analysis of such problems is
justified as plastic deformation near the crack tip is predominantly plane
strain under mode-I loading. While the studies cited above assumed
isotropic elasticity, Shishvan and Van der Giessen [38] took the cubic
symmetries of single crystals into account. ˙εLP
xy = b
2V
∮
vLP dl = b2
2Vσxy
∮
M
(
θ
)
dl. (4) (4) (where the superscript LP is used to indicate quantities for a loop). The
corresponding quantity for an edge dislocation dipole lying on the x-z
plane, Fig. 3(b), with out-of-plane length L is given by These two characteristic classes of problems are revisited in the
subsequent subsections by considering the mobility of the edge dislo
cations to be governed by the effective mobility according to Eq. (8). 3. Projection of dislocation mobility to 2D In FCC crystals, the mobility is uniform along a dislocation loop and,
therefore, its value has been simply adopted in 2D discrete dislocation
plasticity. However, in BCC crystals, the mobility along a loop depends
on the nature of the dislocation segment—i.e., edge versus screw—with
the screw segments generally being much slower. It is not obvious what
mobility to use for dislocations in 2D-DDP for BCC crystals, but it is
intuitive that the mobility of edge dislocations in 2D (or 2D dislocations)
needs to reflect the slow-moving screw segments in terms of an effective
mobility Meff. This idea is illustrated in Fig. 3. To achieve a functional
form of Meff in terms of the mobility of a loop in 3D, we propose a
projection method that is rooted in equating the plastic strain rate of a
dislocation loop in 3D to that of a 2D dipole. Before computing the
plastic strain rate of a loop, we first recapitulate some basic notions of
plastic deformation produced by an expanding dislocation loop. τnuc = τLN
nuc + τ0
nuc,
(1) (1) τnuc = τLN
nuc + τ0
nuc, with a material dependent parameter τ0
nuc that is determined by fitting
the yield stress to experimental data. After having done so for free-
standing copper micrometer thin films comprising columnar grains of
a particular size and film thickness, Shishvan and Van der Giessen [14]
were able to predict the size dependent response of films with other
dimensions at remarkable quantitative precision. In materials that have not been produced by vapor deposition like
thin films, but whose manufacturing has involved forming and heat
treatments, there is a variety of obstacles such as inclusions, precipitates,
forest dislocations on intersecting slip planes etc., that can hinder the
glide of dislocations. These are explicitly modeled in 2D-DDP as point
obstacles that are randomly distributed over the slip planes with a
density ρobs. A dislocation arriving at such an obstacle gets pinned,
possibly leading to the development of a dislocation pile-up. When the An elliptical dislocation loop is considered to be representative of
dislocations in both FCC and BCC metals at room temperature. Pio
neering theoretical work by DeWit and Koehler [27] on the critical
equilibrium shapes of dislocations in anisotropic crystals and subsequent 3 T. Katiyar and E. 4. Effect of effective versus fixed mobility in FCC materials (2) vLP = M
(
θ
)
Fn,
(2) 3. Projection of dislocation mobility to 2D Van der Giessen Computational Materials Science 187 (2021) 110129 may seem to be a pathological consequence of the approach but can
readily be eliminated by the requirement that the slipped areas are the
same in 3D and in 2D, consistent with the equality of the plastic strain
rates. This means that πD2/4 = sL, where s denotes the distance between
the two edge dislocations. Hence L is at any instant given by refinements by Kovacs [28], Foreman [29] and Fitzgerald [30] predict
the shape of dislocations to be elliptical with the major axis aligned with
the Burgers vector due to the lower energy of pure screws compared to
edges. Even though these studies did incorporate the crystallographic
anisotropy, the conclusion relies on the assumption of isotropic
mobility. With a strong anisotropy in mobilities of edges and screws in
BCC crystals, the dislocation loops can become more elongated along the
major axis. In-situ observations of dislocation kinetics in pure iron at
room temperature by Caillard [31,32] indeed report the shapes to be
approximately elliptical. There are studies such as [33,34] that predict
the emergence of sharp corners in the equilibrium shapes; however, this
occurs at very high temperature (̃1180 K) and hence, are ignored in our
analysis. It is noted that by assuming an elliptical shape, factors like line
tension and self energy that help to determine this shape are incorpo
rated implicitly. L = πD2
4s ,
(7)
and therefore
Meff = 2s
D M. (8) L = πD2
4s ,
(7) L = πD2
4s , (7) and therefore and therefore Meff = 2s
D M. (8) Meff = 2s
D M. (8) The key observation to make here is that the effective mobility for edges
in an FCC crystal is, in general, not equal to the mobility of the loop. This
is something that has not been incorporated in any 2D-DDP study known
to the authors. Granted the principle of equality of plastic strain, this
observation thus raises the question how large the effect of the
discrepancy is on the results obtained by simply assuming the effective
mobility to be equal to M. We will first explore this for a number of key
2D-DDP predictions published in the literature in the subsequent
section. 3. Projection of dislocation mobility to 2D In order to determine the plastic strain rate caused by the expansion
of an elliptical loop, we consider the x-z plane to be the glide plane of a
dislocation loop with Burgers vector b (magnitude b) along the x-axis, as
shown in Fig. 3(a). The semi-major and semi-minor axes of the loop are
denoted by p and q, respectively. Since the glide mobility of the loop M
depends on the nature of a dislocation segment locally, it is taken to be a
function of the angle θ between b and the line direction t i.e., M ≡M(θ). This mobility determines the glide velocity vLP of a segment according to 4.1. Background and introduction In
order to compute this effective mobility at every step, we not only need
to keep track of the size of every dipole through ˙εDP
xy = bvDP(
2L
)
2V
= Lb2Meffσxy
V
,
(5) (5) where vDP is the glide speed of each of the dislocations (though in
opposite directions) determined by vDP = Meffbσxy in terms of their
effective mobility Meff. ˙s = 2vDP, ˙s = 2vDP, As mentioned previously, the projection of the mobility of a loop in
an FCC crystal to a 2D description is facilitated by the fact that the
mobility is uniform. Thus, an initially circular loop will remain circular,
with major and minor axes equal to the diameter of the loop, D. In that
case, with M(θ) ≡M, Eq. (4) yields but also the corresponding loop diameter D in 3D. Following [6], the size
s0 of a freshly generated dipole in 2D is determined by their mutual
attractive force and the strength of source strength τnuc through s0 =
μb
2π(1 −ν)τnuc s0 =
μb
2π(1 −ν)τnuc ˙εLP
xy = πb2D
2V Mσxy. (6) ˙εLP
xy = πb2D
2V Mσxy. (6) with μ the elastic shear modulus and ν Poisson’s ratio. In 3D, when
assuming that the critical shape of a bowed-out Frank–Read segment is
semi-circular, the classical line-tension argument [29] yields that the
critical diameter D0 for the same source strength is given by [26,14]. The requirement that the plastic strain rate ˙εDP
xy produced by the
extending edge dipole in 2D be equal to the strain rate corresponding to
the expanding loop, ˙εLP
xy according to (6), leads to the expression D0 = βnuc
μb
τnuc
, with βnuc = 1
2π
(
ln D0
b + 0.5
)
. Meff = πD
2L M. Meff = πD
2L M. Assuming that the initial diameter D0 and the initial dipole size s0 are Assuming that the initial diameter D0 and the initial dipole size s0 are The emergence of the out-of-plane length L of the edge segments in 2D Computational Materials Science 187 (2021) 110129 T. Katiyar and E. Van der Giessen Fig. 4. Unit cell of a free-stranding thin film with thickness h comprising columnar grains having width d. The film is subject to an overall uniaxial strain ε under
plane strain conditions perpendicular to the plane of observation. 4.1. Background and introduction Grains are of FCC type and have the three effective slip systems; the orientation of each grain is
specified by the acute angle ϕ of one of the slip planes with the direction of straining. Fig. 4. Unit cell of a free-stranding thin film with thickness h comprising columnar grains having width d. The film is subject to an overall uniaxial strain ε under
plane strain conditions perpendicular to the plane of observation. Grains are of FCC type and have the three effective slip systems; the orientation of each grain is
specified by the acute angle ϕ of one of the slip planes with the direction of straining. Fig. 5. Predicted size dependence of the uniaxial stress–strain response of
polycrystalline thin films from 2D DD simulations at constant dislocation
mobility M and with the effective mobility Meff according to Eq. (8). There are
eight randomly oriented grains in the unit cell, and grain sizes vary from small
(d = 0.5 μm), through medium (d = 1.5 μm) to large (d = 3 μm) size. In all
cases, the film thickness is h = d/1.5 so that the grain aspect ratio is constant. The response is averaged over multiple realizations and the error bars denote
the standard deviation from the mean
Fig. 6. Predicted size dependence of the uniaxial stress–strain response of
single crystals from 2D-DDP simulations at constant dislocation mobility M and
with the effective mobility Meff according to Eq. (8). Grain sizes d vary as
indicated, with the film thickness given by h = d/1.5. The response is averaged
over multiple realizations and the error bars denote the standard deviation from
the mean. Fig. 5. Predicted size dependence of the uniaxial stress–strain response of
polycrystalline thin films from 2D DD simulations at constant dislocation
mobility M and with the effective mobility Meff according to Eq. (8). There are
eight randomly oriented grains in the unit cell, and grain sizes vary from small
(d = 0.5 μm), through medium (d = 1.5 μm) to large (d = 3 μm) size. In all
cases, the film thickness is h = d/1.5 so that the grain aspect ratio is constant. The response is averaged over multiple realizations and the error bars denote
the standard deviation from the mean. Fig. 6. 4.1. Background and introduction Predicted size dependence of the uniaxial stress–strain response of
single crystals from 2D-DDP simulations at constant dislocation mobility M and
with the effective mobility Meff according to Eq. (8). Grain sizes d vary as
indicated, with the film thickness given by h = d/1.5. The response is averaged
over multiple realizations and the error bars denote the standard deviation from
the mean. Fig. 6. Predicted size dependence of the uniaxial stress–strain response of
single crystals from 2D-DDP simulations at constant dislocation mobility M and
with the effective mobility Meff according to Eq. (8). Grain sizes d vary as
indicated, with the film thickness given by h = d/1.5. The response is averaged
over multiple realizations and the error bars denote the standard deviation from
the mean. Fig. 5. Predicted size dependence of the uniaxial stress–strain response of
polycrystalline thin films from 2D DD simulations at constant dislocation
mobility M and with the effective mobility Meff according to Eq. (8). There are
eight randomly oriented grains in the unit cell, and grain sizes vary from small
(d = 0.5 μm), through medium (d = 1.5 μm) to large (d = 3 μm) size. In all
cases, the film thickness is h = d/1.5 so that the grain aspect ratio is constant. The response is averaged over multiple realizations and the error bars denote
the standard deviation from the mean. parameter values, [14] obtained very good agreement with the depen
dence of the response on grain size and film thickness in thin Cu films
found experimentally. governed by the same ratio (7), the loop diameter can be readily
computed at every moment from the current dipole size s using Fig. 5 recapitulates some typical results from [14] for constant
mobility, M = 104 (Pa s)−1, and confronts them with corresponding re
sults obtained by assuming the effective mobility according to (8)
instead of the constant mobility. Evidently, there is no significant in
fluence of the mobility law on the predicted response. The mobility of
individual dipoles will be different, but apparently the interplay be
tween the collective motion of many dislocations in the various grains in
the film and dislocation generation eventually yields an almost identical
overall response. l D = D0
̅̅̅̅̅̅̅̅̅
s/s0
√
. 4.2. Size effects in single and polycrystals Fig. 4 depicts the problem under consideration: a unit cell of length w
out of a free-standing thin film of thickness h, which is subjected to a
prescribed tensile strain ε. The unit cell contains eight grains of width d,
each having three effective slip systems (see Fig. 1) but with random
orientation ϕ relative to the tensile direction. Just like in [13,14], the
boundaries of the grains that coincide with the traction-free boundaries
along the top and the bottom of the film are transparent to dislocations,
while the grain boundaries inside the film are assumed to be impene
trable for dislocations. Furthermore, it is assumed that the grains contain
dislocation sources at a density of ρnuc = 30 μm−2, which obey a log-
normal distribution of strength as discussed in Section 2 with τ0
nuc =
47MPa, but are free of obstacles. In order to allow for a clean com
parison, all parameter values are taken to be the same as in [14]:
magnitude of Burgers vector b = 0.25 nm, shear modulus μ = 41GPa,
Poisson ratio ν = 0.34; applied strain rate ˙ε = 2500 s−1. With these One might think that the influence of the mobility fades during the
averaging over the grains in the film. To gain some insight in this, we
also investigate the behavior of single crystals with the same aspect ratio
d/h = 1.5 and the crystal orientation ϕ = 45◦(cf. Fig. 4). For each grain
size, at least 10 realizations of randomly positioned sources have been
analyzed (20 realizations for the middle grain size) and the mean stress
response is shown in Fig. 6. We obtain a qualitatively similar grain size
dependence as in the polycrystalline film, which again is not affected
significantly by using the variable, effective mobility instead of the
underlying constant mobility of a dislocation loop. The observed size dependence, with smaller grains being harder, is
qualitatively consistent with the Hall–Petch effect recovered in the study 5 5 Computational Materials Science 187 (2021) 110129
Fig. 7. Model formulation for crack propagation under small-scale yielding conditions in an FCC crystal under mode-I conditions. (a) The crack coincides with a
(010) plane, has its front in the
[
101
]
direction and grows in the [101] direction. 4.2. Size effects in single and polycrystals The slip systems (i) through (iii) are oriented in agreement with the effective slip
systems proposed by Rice [20], and discrete dislocations are constrained to move inside a process window. Reproduced from [38]. (b) The traction–separation law,
given in Eq. (9), used ahead of the crack tip to describe propagation of the crack. T. Katiyar and E. Van der Giessen Computational Materials Science 187 (2021) 110129 T. Katiyar and E. Van der Giessen yar and E. Van der Giessen Fig. 7. Model formulation for crack propagation under small-scale yielding conditions in an FCC crystal under mode-I conditions. (a) The crack coincides with a
(010) plane, has its front in the
[
101
]
direction and grows in the [101] direction. The slip systems (i) through (iii) are oriented in agreement with the effective slip
systems proposed by Rice [20], and discrete dislocations are constrained to move inside a process window. Reproduced from [38]. (b) The traction–separation law,
given in Eq. (9), used ahead of the crack tip to describe propagation of the crack. Fig. 8. Normalized applied stress intensity as a function of crack extension Δa in a single FCC crystal with four different realizations of dislocation sources and
obstacles, analyzed with a fixed dislocation mobility M as well as with effective mobility Meff according to Eq. (8). Fig. 8. Normalized applied stress intensity as a function of crack extension Δa in a single FCC crystal with four different realizations of dislocation sources and
obstacles, analyzed with a fixed dislocation mobility M as well as with effective mobility Meff according to Eq. (8). 6 Computational Materials Science 187 (2021) 110129 T. Katiyar and E. Van der Giessen Computational Materials Science 187 (2021) 110129
Fig. 9. Variation of effective mobility Meff corresponding to dislocation loops of
increasing aspect ratio α = p/q in α-iron. The representative average value 〈
Meff〉is indicated by the dashed line. of doubly periodic arrays of grains by Balint et al. [9]. It bears emphasis,
however, that while the size effect in the latter study was attributed to
the development of pile-ups against the impenetrable grain boundaries,
here only the vertical grain boundaries are impenetrable, thereby
diminishing the effect of pile-ups. At the same time, there is an addi
tional inherent size dependence in the log-normal distribution of source
strengths. 4.3. Crack growth in single crystals In the absence of dislocation activity, this
cohesive law predicts unstable crack growth at an applied stress in
tensity factor K0 =
̅̅̅̅̅̅̅̅̅̅̅̅̅̅
ϕn/CG
√
with CG = 1
2
(
1 −ν
)/μ for isotropic elasticity
(the expression for cubic elasticity can be found in [38]). M
(
θ
)
=
(
M2
esin2θ + M2
scos2θ
)1/2,
(10) (10) with θ the orientation of the dislocation line direction with respect to the
Burgers vector, as indicated in Fig. 3. Following Section 3, we impose
that the plastic strain rates in 3D and 2D be the same, by equating Eqs. (4) and (5) to give the following intermediate form of the effective
mobility: In the presence of dislocation activity that tends to shield the crack
tip, part of the energy released by crack growth is dissipated, thus
requiring higher values of KI for continued crack growth. This is illus
trated in Fig. 8 for four realizations of source and obstacle distributions
at a density of ρnuc = 32 μm−2 and ρobs = 32 μm−2, respectively. In these
computations, since the crystal is infinitely large, the original size-
independent source model of [6] is adopted, characterized by a
Gaussian distribution of strength with mean value of 50 MPa and a
standard deviation of 10 MPa. The obstacles have a strength of τobs =
150 MPa and the loading is applied at a constant rate of ˙KI =
100 GPa m1/2 s−1. Meff = 1/V
2L/V
∮(
M2
esin2θ + M2
scos2θ
)1/2 dl. (11) (11) With small re-arrangements, this expression can be written as Meff =
∮
dl/V
2L/V
∮(
M2
esin2θ+M2
scos2θ
)1/2dl
∮
dl
=ρ3D
ρ2D
∮(
M2
esin2θ+M2
scos2θ
)1/2dl
∮
dl
,
(12) (12) in terms of the dislocation densities for the loop and edge dislocation
dipole, ρ3D =
∮
dl/V and ρ2D = 2L/V, respectively. When these densities
are taken to have the same value, Eq. (12) can be further evaluated to
yield We observe that for each realization, there is a noticeable effect of
using the effective dislocation mobility instead of the constant mobility,
M = 104 (Pa s)−1, as adopted in previous work [24,38]. 4.3. Crack growth in single crystals The overall stress–strain response of a single crystal still averages out
over many discrete slip planes. By contrast, crack growth in a crystal
with a small plastic zone is governed by the local stress field near the
crack tip. This stress field is the superposition of the remote elastic field
and the stress fields of the dislocations present in the crystal. A fraction
of these dislocations have caused plastic relaxation and shield the crack
tip, but also anti-shielding dislocations get generated. Indeed, Clever
inga et al. [24] have concluded that discrete dislocation plasticity near
crack tips has two opposite effects: energy dissipation associated with
stress relaxation and the development of localized, high-stress regions
by dislocation structures close to the crack tip. i Fig. 9. Variation of effective mobility Meff corresponding to dislocation loops of
increasing aspect ratio α = p/q in α-iron. The representative average value 〈
Meff〉is indicated by the dashed line. The problem studied first in [24] and more recently within the
framework of anisotropic elasticity in [38] is sketched in Fig. 7(a). Small-scale yielding conditions around the tip of an infinitely long
crystal are assumed, with the remote mode-I loading prescribed in terms
of an incrementally increasing KI elastic field. Crack growth is described
in terms of a cohesive law that is based on the universal binding law and
characterized by the following relation between the opening traction Tn
and the separation Δn: mobility can be safely used in the case of FCC crystals. Building on a
similar notion, in this section, we develop the effective 2D mobility in
BCC crystals based on the same principle of conserving the plastic strain. One difference with FCC crystals is that the dislocation mobility in
BCC is not constant along a loop: the screw mobility Ms is often signif
icantly lower than the mobility of edge segments, Me. To account for the
variability of dislocation mobility with the character of the dislocation
segment, the glide mobility of the loop is taken to follow the widely used
BCC0 construction [39] where the mobility of any dislocation segment is
given by Tn
(
Δn
)
= σmax
Δn
δn
exp
(
−Δn
δn
+ 1
)
. (9) (9) As a consequence, crack propagation is governed by two parameters: the
cohesive strength σmax and the critical opening δn, or the work of sepa
ration ϕn = exp(1)σmaxδn. 4.2. Size effects in single and polycrystals It is the latter feature that is responsible for the agreement of
the entire stress–strain curve with experiments in [14], while the size
independent nucleation model of [6] used in [13] only yields agreement
in terms of the yield strength. 4.3. Crack growth in single crystals However, the
magnitude of the effect is smaller than the variability in the crack
extension curves among different source and obstacle distributions, so
that all previous discrete dislocation results on crack growth paper are
essentially unchanged when taking the effect of dislocation loop size on
mobility into account. Meff = Ms E
[
1 −M2
e
M2
sα2
]/
E
[
1 −1
α2
]
,
(13) (13) where α = p/q is the aspect ratio of the elliptical loop and E[⋅] denotes
the complete elliptic integral, E[k] = ∫π/2
0
̅̅̅̅̅̅̅̅̅̅̅̅̅̅̅̅̅̅̅̅̅̅
1 −ksin2θ
√
dθ, which emerges
as a consequence of integration along an elliptical arc. 6. Methodology The sensitivity of the plastic flow stress to the applied loading rate
has been characterized extensively in the literature [44–47]. In general,
the flow stress is observed to rise slowly at low strain rates and to in
crease more rapidly at high strain rates (typically for ˙ε > 103 s−1). The
increase in flow stress is attributed to different mechanisms in the two
strain rate regimes: plastic strain at low strain rates is governed by
thermal activation while at high strain rates, the mobility of dislocations
is the limiting mechanism [44,48]. In addition, the 2D-DDP simulations
on FCC polycrystals by Agnihotri and Van der Giessen [49] suggested
that the Frank-Read mechanism is rate-limiting in the lower end of this
high strain-rate regime. Recently, Cui et al. [50] emphasized the motion
of screw dislocations in controlling the strain-bursts in tungsten pillars at
high strain rates. As the rate sensitivity of the flow stress at high strain
rates is directly coupled to the mobility of dislocations [49], we will
compare 2D-DDP predictions of the rate sensitivity of flow stress at high
strain rates in iron (at room temperature) against experiments. The
experimental data to be used is the flow stress of as-received iron over a
wide range of strain rates reported by Weston [51]. Of the data repro
duced in Fig. 10, only the three highest strain rates will be used, to
ensure we are in the mobility-controlled regime. The three flow stress
values at the highest strain rates reported in Fig. 10 are the peak stress
values (of the yield point phenomenon) occurring at ̃10% total strain
[51] which is too large to be reached in 2D-DDP. Instead of these peak
stresses, we will use the yield stress (flow stress at 0.2% plastic strain) at
the highest strain rates, as extracted from the stress–strain curves in
Weston [51]. It should be noted that the rate sensitivity of flow stress is
independent of the strain at which the flow stress is measured, as was
also observed by Ostwaldt et al. [52]. Fig. 10. Rate dependent flow stress of as-received Iron [51], shown with ‘▿’
symbols. The yield strength at the three highest strain rates has been super
posed with ‘o’ symbols. α-iron at room temperature. The same value of Me has been found in a
molecular dynamics study of the 1/2〈111〉(110) edge dislocation in BCC
Fe [40], but Queyreau et al. 6. Methodology [41] reports a slightly lower value. Following Tang and Marian [42], we take the screw mobility to be two
orders of magnitude smaller than Me for α-iron at room temperature. For
these values of Ms and Me, the dependence of the effective mobility
according to Eq. (13) on α = p/q is shown in Fig. 9. Assuming that loops
are initially circular (α = 1), Meff(α) begins at a value that is signifi
cantly lower than the pure edge mobility Me, and decrease with
increasing α. This trend is easily understood by noting that the loop
becomes more screw-like with increasing aspect ratio, and therefore the
low screw mobility plays an increasingly important role. The maximum aspect ratio αmax a dislocation loop can achieve is
limited by Me/Ms (= 100 in this case), as also reported by Kang et al. [43] for faceted dislocation loops in BCC. This can be readily appreci
ated by considering an arbitrary dislocation loop with initial (at time t =
0) semi-major and -minor axes, p0 and q0, respectively. Since the major
and minor axes at any time t > 0 are governed by the mobilities of pure
edge and screw segments, respectively, the time-dependence of the
aspect ratio is given by To predict the rate sensitivity in iron, the polycrystalline 2D-DDP
framework with elastic anisotropy of Shishvan et al. [53] is employed. Polycrystalline iron is modeled as a two-dimensional array of square
grains sized d, as shown in Fig. 11(a). Each grain is endowed with three
effective slip systems consistent with plain-strain deformation in BCC α = p0 + Meτbt
q0 + Msτbt . (14) α = p0 + Meτbt
q0 + Msτbt . (14) In the limit of t→∞, this expression reduces to α→Me/Ms, implying that
in real dislocation microstructures, loops can have any aspect ratio Fig. 11. (a) BCC Polycrystal comprising of two-dimensional array of square and randomly oriented (illustrated with grey scale) grains of size d and subjected to
uniaxial strain rate loading (b) the plane-strain state of a BCC crystal: three effective slip systems under plain-strain condition on [101]–[010] plane. These slip-
systems are randomly oriented with respect to the global coordinate system x-y. Fig. 11. 5. Effective 2D mobility in BCC crystals We further explore the dependence of Meff on α for values Me =
10000 Pa−1s−1 and Ms = 100 Pa−1s−1, which are representative for The results from the previous section indicate that the effective 2D 7 Fig. 10. Rate dependent flow stress of as-received Iron [51], shown with ‘▿’
symbols. The yield strength at the three highest strain rates has been super
posed with ‘o’ symbols. T. Katiyar and E. Van der Giessen Computational Materials Science 187 (2021) 110129 T. Katiyar and E. Van der Giessen between the minimum of 1 and the maximum of αmax. If one would want
to incorporate the associated variation in effective mobility seen in
Fig. 9, one would need to keep track of the aspect ratio of every loop in
3D that is represented in the 2D simulations. Not only would this require
a major modification of existing codes, it would nearly defeat the
simplification obtained in a 2D computation. As an alternative, and
without a bias to any aspect ratio, we here propose to take the mean
value of the effective mobility over the possible α-range as a represen
tative value of the effective mobility; this evaluates to 〈Meff〉=
475 Pa−1s−1 for α-iron. In the subsequent section, we describe the
methodology to validate the obtained effective mobility, by comparison
with the rate sensitivity of α-iron in 2D-DDP. 6. Methodology The grain size in Weston [51]’s experiments is
̃45 μm, but a grain size of 10 μm is used in the computations; the latter
value was found to be sufficiently large to prevent grain size effects, yet
small enough for the calculations to be computationally convenient (see
Appendix A). Material parameters for single crystalline iron are b =
0.25 nm and C11 = 229 GPa, C12 = 134 GPa and C44 = 115 GPa. Due to
the limited number of grains in the computational cell, the predicted
overall Young’s modulus may deviate slightly from the experimental
value; we adopt the correction proposed by Shishvan et al. [53] to
ensure that the overall Young’s modulus corresponds to the experi
mental value E = 210 GPa [54]. procedure as the one used successfully by Shishvan and Van der Giessen
[14] for obstacle-free copper thin films. i
The approach is as follows. First recall from Section 2 that the dis
tribution of source strengths is assumed to follow-up a log-normal dis
tribution that is governed by the grain size and by the theoretical
strength. For the chosen grain size of 10 μm, this leads to a log-normal
distribution with a mean source strength τLN
nuc = 207MPa. The off-set
value τ0
nuc in (1) is initially set to an arbitrary value of 237 MPa, and
will eventually be tuned to fit the calculated yield stress to the experi
mental value at the highest strain rate. Next, the source density is set so
that there are enough dislocations sources to properly sample the log-
normal distribution. Since in this study there are more, and larger,
grains, we do not need as many sources as used by Shishvan and Van der
Giessen [14]: a density of ρnuc = 20 μm−2 ensures that the log-normal
distribution of strengths is represented accurately (i.e., with a
maximum error of 12.5% at a confidence level of 90%). This value can
be used for all strain rates since Agnihotri and Van der Giessen [49] have
shown that the rate sensitivity of an FCC polycrystal is independent of
the source density. Thus, we are left with two unspecified material pa
rameters, i.e. obstacle density ρobs and obstacle strength τobs, both of
which were not considered in the thin-film studies of [14] as they con
tained a very low initial dislocation density. 6. Methodology Whereas hardening in those
copper thin films, with columnar grain sizes around 1 μm, arises from
dislocation pile-ups against the grain boundaries, hardening in poly
crystalline bulk iron with grains of > 10 μm in 2D will have to arise from
obstacles such as forest dislocations and small precipitates. Leaving the
details to the subsequent subsection, the obstacle parameters will be
determined by fitting the experimental strain hardening rate. The grains are initially dislocation free and dislocation nucleation is
incorporated through point sources randomly distributed over the slip
planes with a source density ρnuc. These sources mimic the Frank-Read
mechanism in two dimensions (see Section 2); that is, when the
resolved shear stress at a source exceeds its strength τnuc, an edge-
dislocation dipole is created, with its sign being determined by the di
rection of the resolved shear stress. 6. Methodology (a) BCC Polycrystal comprising of two-dimensional array of square and randomly oriented (illustrated with grey scale) grains of size d and subjected to
uniaxial strain rate loading (b) the plane-strain state of a BCC crystal: three effective slip systems under plain-strain condition on [101]–[010] plane. These slip-
systems are randomly oriented with respect to the global coordinate system x-y. Computational Materials Science 187 (2021) 110129
Fig. 12. (a) Uniaxial tensile stress–strain curves at ˙ε = 5200 s−1 with ρobs/ρnuc = 3. Contrary to the experimental results, the predictions for this obstacle density
exhibit strain softening even at significantly high τobs/τnuc ratios (b) Uniaxial tensile stress–strain curves at ˙ε = 5200s−1 and ρobs/ρnuc = 7. The stress response for the
case τobs/τnuc = 7 (shown in orange solid color) satisfies the experimentally observed strain hardening rate. T. Katiyar and E. Van der Giessen T. Katiyar and E. Van der Giessen T. Katiyar and E. Van der Giessen Computational Materials Science 187 (2021) 110129 Computational Materials Science 1 Fig. 12. (a) Uniaxial tensile stress–strain curves at ˙ε = 5200 s−1 with ρobs/ρnuc = 3. Contrary to the experimental results, the predictions for this obstacle density
exhibit strain softening even at significantly high τobs/τnuc ratios (b) Uniaxial tensile stress–strain curves at ˙ε = 5200s−1 and ρobs/ρnuc = 7. The stress response for the
case τobs/τnuc = 7 (shown in orange solid color) satisfies the experimentally observed strain hardening rate. crystals [20], see Fig. 11(b). By geometry, the effective lengths of the
Burgers vectors on the three slip systems (i), (ii) and (iii) are b/
̅̅̅
3
√
, b and
b, respectively. The grains are randomly oriented such that there is no
texture in the polycrystal. All grain boundaries are assumed to be
impenetrable to dislocations and there is a distance of 200b between
parallel slip planes in a slip system. The top and bottom surface of the
bulk polycrystal are assumed to be traction free, while a tensile strain
rate is imposed at the ends. The computational cell is taken to comprise a
4 × 8 array of rectangular grains of size d = 10 μm. The choice of four
layers is motivated by previous DDP studies that have shown that free-
surface effects fade from three layers onwards [36] while eight grains
per layer were enough to give a statistically meaningful average tensile
response of copper [14]. 7. Results Fig. 12(a) shows the predicted tensile stress–strain response of iron at
ρobs = 3ρnuc for a wide range of obstacle strengths. Each of the predicted
stress–strain curves presented here and in the sequel, is the mean
response of the polycrystal averaged over ten realizations of crystal
orientations and random distributions of sources and obstacles. The
results in Fig. 12(a) reveal, in particular, significant strain softening after
the yield point. This softening is to be attributed to the inefficiency of the
obstacles to reduce the free-flight distance of dislocations; in the absence
of any obstacles, the softening is even more pronounced (as demon
strated in Appendix A). As expected, the softening reduces at higher
obstacle strengths. However, even an obstacle strength as high as τobs =
21τnuc is not sufficient to produce realistic strain hardening as seen in The DDP model contains four parameters that are, as of yet, un
known: ρnuc, τnuc, ρobs and τobs. Together with the dislocation mobility,
these parameters control plasticity properties such as strain hardening
and yield stress. Inspired by the power of the approach demonstrated in
[14] for free-standing copper thin films, we will fit these source and
obstacle parameters to the uniaxial response of iron for a particular
strain rate, and then predict the flow stress at other strain rates. Since the
highest strain rates can be analyzed most quickly, parameter identifi
cation is carried out for the highest strain rate reported in Fig. 10: ˙ε =
5200 s−1. There is no unique way to fit the four source and obstacle
parameters from a given stress–strain curve; we will adopt a similar 9 Fig. 13. Uniaxial tensile stress–strain curves corresponding to two different
values of τnuc at ˙ε = 5200 s−1. Reducing the τnuc from 444 MPa to 237 MPa
uniformly shifts down the plastic response to the desired yield stress level,
indicated by the dotted black lines. T. Katiyar and E. Van der Giessen Computational Materials Science 187 (2021) 110129 T. Katiyar and E. Van der Giessen to bring down the mean source strength τnuc from 444 MPa to 237 MPa. The change in τnuc, while maintaining the ratio τobs/τnuc, shifts the plastic
branch of the stress–strain curves to the desired yield stress level without
affecting the shape, as demonstrated in Fig. 13. 8. Discussion To validate the effective-mobility approach, 2D-DDP simulations
were employed to compare the prediction of the rate sensitivity of the
yield stress at high strain rates in polycrystalline iron with experiments. Over the range of strain rates for which this comparison was possible,
our predictions deviate from the experimental yield strength by less than
8%. Based on this comparison, we conclude that the proposed projection
method provides a good estimate of the effective mobility Meff of α-iron
dislocations in 2D-DDP. Fig. 13. Uniaxial tensile stress–strain curves corresponding to two different
values of τnuc at ˙ε = 5200 s−1. Reducing the τnuc from 444 MPa to 237 MPa
uniformly shifts down the plastic response to the desired yield stress level,
indicated by the dotted black lines. experiments. This suggests there are insufficient obstacles in the simu
lation cell. In previous 2D-DDP studies, the strain hardening slope has
been observed to be much more sensitive to ρobs than to τobs. Therefore,
we increased the obstacle density ρobs to 7ρnuc, closer to values used in
[55,8]. A higher obstacle density not only leads to an increased proba
bility of a dislocation getting pinned but also reduces the mean free path
for dislocation glide, thus leading to a diminished plastic strain rate and
increased strain hardening. Further, to assess the extent to which the effective mobility impacts
the rate sensitivity prediction, we also calculated the rate sensitivity of
iron by just using the screw mobility Ms as the mobility of the 2D dis
locations and reported the result in Fig. 14(b) (see Appendix B for details
of the fitting procedure). The rate sensitivity predicted for this mobility
is observed to deviate substantially from the experimental data, with a
deviation of at least 25% for the lowest strain rate considered here. The
predicted σf vs ˙ε curve is steeper than that of the prediction by effective
mobility, which is qualitatively consistent with the rate sensitivity of the
yield stress in FCC crystals at high strain rates studied previously [49]. In
fact, a slightly higher value of the effective mobility can even give a
near-perfect agreement with the experimental rate-sensitivity, albeit at
the cost of trial-and-error. For a similar range of obstacle strengths as considered before, Fig. 12
(b) indeed shows that ρobs = 7ρnuc remedies the strain softening. 7.2. Rate sensitivity prediction In the foregoing, the predicted yield stress at the highest strain rate
has been fit to the experimental value. To test the rate sensitivity of the
yield strength, the same material parameters are used for tensile simu
lations at lower strain rates: ˙ε = 2000 and 200 s−1. The resulting
stress–strain curves at all strain rates are plotted in Fig. 14(a), while the
extracted strain rate dependence of the yield strength is reported in
Fig. 14(b). The predictions of rate sensitivity of yield stress by the
effective mobility gives good agreement with the experimental values,
with the prediction being slightly over-sensitive. 8. Discussion Now,
the value of τobs is chosen such that predicted strain hardening complies
with the experimental strain hardening rate which at ˙ε = 5200s−1 is
estimated to be ∼10000 MPa from [51]. This leads to selecting τobs =
7τnuc (cf. Fig. 12 (b)). Lastly, we observe that the yield stress (at 0.2% plastic strain) pre
dicted at the determined values of ρobs and τobs differs significantly from
the experimental yield stress of ∼330 MPa. To fit the predicted yield
stress to the experimental value, the fit parameter τ0
nuc is adjusted, so as The input parameters to the effective mobility computed from Eq. (13) are the mobilities of pure screw and edge segments (Ms and Me). In
this work, the edge and screw mobilities were assumed to be constant in Fig. 14. (a) Uniaxial stress–strain curves of polycrystalline iron at various strain rates, obtained using the effective 2D mobility according to Section 5. (b) Predicted
strain rate sensitivity of the yield stress in comparison with the experimental data from Weston [51]. The error bars represent the standard deviation of the yield
stresses obtained from the 10 realizations of grain orientations and distributions of dislocation sources and obstacles. rates, obtained using the effective 2D mobility according to Section 5. (b) Predicted
ata from Weston [51]. The error bars represent the standard deviation of the yield Fig. 14. (a) Uniaxial stress–strain curves of polycrystalline iron at various strain rates, obtained using the effective 2D mobility according to Section 5. (b) Predicted
strain rate sensitivity of the yield stress in comparison with the experimental data from Weston [51]. The error bars represent the standard deviation of the yield
stresses obtained from the 10 realizations of grain orientations and distributions of dislocation sources and obstacles. 10 Computational Materials Science 187 (2021) 110129 T. Katiyar and E. Van der Giessen Fig. 15. The effective mobility Meff versus aspect ratio of dislocation loop α =
p/q for Iron, Tantalum and Molybdenum at room temperature. Ms =
100 Pa−1s−1 and Me = 2000 Pa−1s−1 for Ta [60] and Ms = 25 Pa−1s−1 and Me =
1000 Pa−1s−1 for Mo [61]. For each metal, the maximum aspect ratio αmax is
given by the mobility ratio Me/Ms. mobilities is directly incorporated into the effective mobility function
through Ms and Me, as proposed by Po et al. [57]. 8. Discussion One of the characteristic features of BCC metals is the existence of an
athermal transition temperature Ta above which thermal activation of
the slow moving screw segments is no longer rate limiting. Above Ta (for
example, Ta = 340 K and 465 K, respectively for α-Fe and Ta [58]), the
mobilities of screw and edge segments become comparable. The dislo
cation dynamics and the resulting dislocation microstructures then are
akin to that of FCC crystals [59]. The proposed 3D–2D conversion of
dislocation mobility is consistent with this. When Me = Ms and α = 1, as
is the case in FCC, Eq. (13) reduces to Meff = Me by virtue of the fact that
E[0] = π/2. The projection method estimates the effective mobility of 2D dislo
cations in iron to be ̃475 Pa−1s−1 by employing the values of Ms and Me
at room temperature. For other BCC metals, for example, Tantalum and
Molybdenum, the method estimates the effective mobility values at
room temperature to be 323 and 97 Pa−1s−1, respectively, as shown in
Fig. 15. Unfortunately, we are not aware of experimental rate-sensitivity
data against which these values can be validated. A Peierls barrier for screw segments is not included in the formula
tion here: the analysis begins with the assumption that the shear stress
levels are high enough to set the dislocation loop into motion. If the
Peierls stress is relevant, for instance in case of fracture studies [62], one
may consider to explicitly incorporate it in 2D-DDP in the form of an
effective Peierls stress τeff
p , defined in a similar way as we have defined
the effective mobility Meff. This requires defining the Peierls stress along
the elliptical dislocation loop by a smoothly varying function, such as,
for example, τp(θ) = (τ2
esin2θ + τ2
s cos2θ)
1/2, with τe and τs the Peierls
stress for pure edge and screw segments. A uniform effective τeff
p along
the loop is then defined through Fig. 15. The effective mobility Meff versus aspect ratio of dislocation loop α =
p/q for Iron, Tantalum and Molybdenum at room temperature. Ms =
100 Pa−1s−1 and Me = 2000 Pa−1s−1 for Ta [60] and Ms = 25 Pa−1s−1 and Me =
1000 Pa−1s−1 for Mo [61]. For each metal, the maximum aspect ratio αmax is
given by the mobility ratio Me/Ms. 8. Discussion stress such that the dislocation velocity follows a linear mobility law. While this typically holds true for edge segments, the screw segments
move by thermally-assisted kink-pair nucleation and propagation at
moderate to low temperatures. Their velocity follows an Arrhenius law
which is nonlinear in stress. Several three-dimensional discrete dislo
cation dynamics (3D-DDD) models, such as [56,57], have formulated
phenomenological prescriptions of the nonlinear dependence of the
screw velocity on stress and other variables, such as the length of the
screw segments. While such details are important in 3D-DDD models, we
have ignored them in the current analysis, primarily to demonstrate the
viability of the notion of an effective mobility. Moreover, we note that
the non-linearity decreases with increasing temperature and is essen
tially absent at room temperature, i.e. the target temperature of this
study. It also bears emphasis that the temperature dependence of the ∮
ellipse
τp
(
θ
)
dl =
∮
ellipse
τeff
p dl. (15) (15) When τp(θ) is assumed to have a similar form as the mobility according
to the BCC0 construction in (10), this procedure gives a similar
expression for τeff
p as for Meff (Eq. 13) with Ms and Me replaced with τe
and τs. The τeff
p at the initiation of the loop expansion can be estimated by
substituting α = 1 in the equation. Just for illustration, using τe = 24.8
MPa and τs = 248 MPa for Tantalum at room temperature [60], we find
τeff
p
≈160 MPa. When τp(θ) is assumed to have a similar form as the mobility according
to the BCC0 construction in (10), this procedure gives a similar
expression for τeff
p as for Meff (Eq. 13) with Ms and Me replaced with τe
and τs. The τeff
p at the initiation of the loop expansion can be estimated by
substituting α = 1 in the equation. Just for illustration, using τe = 24.8
MPa and τs = 248 MPa for Tantalum at room temperature [60], we find
τeff
p
≈160 MPa. Fig. A.1. (a) Uniaxial stress–strain curves for three different grain sizes at ˙ε = 2800 s−1 (b) Corresponding dislocation microstructures at the end of simulations. ress–strain curves for three different grain sizes at ˙ε = 2800 s−1 (b) Corresponding dislocation microstructures at the end of Fig. A.1. 8. Discussion (a) Uniaxial stress–strain curves for three different grain sizes at ˙ε = 2800 s−1 (b) Corresponding dislocation micro 11 Computational Materials Science 187 (2021) 110129 T. Katiyar and E. Van der Giessen Fig. B.1. Uniaxial stress-strain curves of polycrystalline iron at various strain
rates, obtained using the screw mobility Ms.. 2. We have proposed a 3D-to-2D procedure to combine the screw and
edge mobilities of BCC loops into an effective mobility for use in 2D,
based on the equality of the plastic slip rate produced by dislocation
loops in 3D and that by dislocation dipoles in 2D. 2. We have proposed a 3D-to-2D procedure to combine the screw and
edge mobilities of BCC loops into an effective mobility for use in 2D,
based on the equality of the plastic slip rate produced by dislocation
loops in 3D and that by dislocation dipoles in 2D. 3. The effective mobility of the BCC dislocations, strictly speaking,
depends on the aspect ratio of the loop in 3D. For simplicity we
propose to use the average value over all possible aspect ratios, so
that the effective mobility can be directly computed from the edge
and screw mobilities. 3. The effective mobility of the BCC dislocations, strictly speaking,
depends on the aspect ratio of the loop in 3D. For simplicity we
propose to use the average value over all possible aspect ratios, so
that the effective mobility can be directly computed from the edge
and screw mobilities. 4. The effective mobility thus obtained from the 3D-to-2D procedure is
found to provide a good prediction of the rate sensitivity of yield of
iron at room temperature. This gives some confidence that this
method is useful for other BCC metals too. Acknowledgment The authors gratefully acknowledge the Netherlands Organisation
for Scientific Research (www.nwo.nl) and the Materials Innovation
Institute M2i (www.m2i.nl) for supporting this work. The work was
performed within the framework of the Partnership Program of the
aforementioned organisations and under the project number
F22.2.13518a. We also thank the following industrial partners (via M2i)
for their valuable support: Prorail, SKF, DAF, Tata Steel and Philips. The
computations reported in Section 4 were carried out by Thiadrik Tiesma
within the framework of his MSc research project. CRediT authorship contribution statement Fig. B.1. Uniaxial stress-strain curves of polycrystalline iron at various strain
rates, obtained using the screw mobility Ms.. T. Katiyar: Conceptualization, Investigation, Methodology, Soft
ware, Validation, Formal analysis, Data curation, Writing - original
draft. E. Van der Giessen: Conceptualization, Methodology, Resources,
Writing - review & editing, Supervision, Project administration, Funding
acquisition. It bears emphasis that even after careful consideration of glide
mobility and Peierls stress, 2D-DDP analyses are based on strong ide
alizations and ignore a number of important 3D mechanisms, and hence,
can only provide a qualitative description of plasticity. When carefully
parameterized, however, it has been shown for FCC to possess quanti
tative predictive abilities for the size-dependent yield strength in thin
films [14]. The main goal of 2D-DDP is to capture the dislocation plas
ticity rather than the dislocation microstructure. With this work, we
have aimed to incorporate the slow-screw-dominated plastic deforma
tion of BCC crystals in 2D in the form of an effective mobility. Other
pertinent features of BCC crystal plasticity, such as non-Schmid
behavior, need further attention and efforts to be addressed in 2D. Declaration of Competing Interest 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. 9. Concluding remarks In summary, the key observations and conclusions from this study
are: 1. Dislocation dynamics methods for FCC crystals in the past have
benefited from the fact that the mobility is uniform along the dislo
cation loop. The screw segments of BCC dislocation loops, however,
have a much lower mobility than edge segments. 2D discrete dislo
cation plasticity for BCC crystals should therefore adopt an effective
mobility that, somehow, incorporates this mobility difference. Data availability The raw/processed data required to reproduce these findings cannot
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180 MPa, respectively, and the crystals are obstacle-free. The Burgers vector and the cubic elastic constants are taken to have the same values as
adopted in the main text. l As seen in Fig. A.1(a), the crystals with d = 10 μm and 25 μm exhibit a steady-state flow stress level preceded by an abrupt drop in the stress level. This dip is an artefact originating from the lack of initial dislocations and obstacles. The activation of a large number of weak sources at the beginning
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flow steadily at a constant stress level but would require excessive computational time due to huge number of dislocation sources. Therefore, the grain
size of d = 10 μm is selected which is not only computationally less expensive but also prevent any significant size effects. The flow stress of the 25 μm
sized grain is only slightly lower. In so far as this difference in flow stress between a grain of d = 10 μm and a bigger one is significant, it can be
accounted for by varying the strength of sources τnuc as also discussed in the methodology section. 12 T. Katiyar and E. Van der Giessen Computational Materials Science 187 (2021) 110129 Appendix B In order to predict the rate sensitivity of iron using the screw mobility Ms, we follow the fitting procedure for the highest strain rate as described in
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Users’ thoughts and opinions about a self-regulation-based eHealth intervention targeting physical activity and the intake of fruit and vegetables: A qualitative study
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PloS one
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cc-by
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RESEARCH ARTICLE Editor: Jacobus P. van Wouwe, TNO,
NETHERLANDS Received: January 18, 2017
Accepted: December 6, 2017
Published: December 21, 2017 Methods Twenty adults from the general population (mean age = 42.65, 11 women) and twenty adults
with type 2 diabetes (mean age = 64.30, 12 women) performed ‘MyPlan 1.0’, which is a self-
regulation-based eHealth intervention designed to increase physical activity and the intake
of fruit and vegetables in the general population. The opinions and preferences of end-users
were explored using a think aloud procedure and a questionnaire. During a home visit, par-
ticipants were invited to think aloud while performing ‘MyPlan 1.0’. The thoughts were tran-
scribed verbatim and inductive thematic analysis was applied. Copyright: © 2017 Poppe 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 Citation: Poppe L, Van der Mispel C, De
Bourdeaudhuij I, Verloigne M, Shadid S, Crombez
G (2017) Users’ thoughts and opinions about a
self-regulation-based eHealth intervention targeting
physical activity and the intake of fruit and
vegetables: A qualitative study. PLoS ONE 12(12):
e0190020. https://doi.org/10.1371/journal. pone.0190020 Purpose EHealth interventions are effective in changing health behaviours, such as increasing physi-
cal activity and altering dietary habits, but suffer from high attrition rates. In order to create
interventions that are adapted to end-users, in-depth investigations about their opinions and
preferences are required. As opinions and preferences may vary for different target groups,
we explored these in two groups: the general population and a clinical sample. Users’ thoughts and opinions about a self-
regulation-based eHealth intervention
targeting physical activity and the intake of
fruit and vegetables: A qualitative study Louise Poppe1,2☯*, Celien Van der Mispel1,2☯, Ilse De Bourdeaudhuij1, Maïte´ Verloigne1,
Samyah Shadid3, Geert Crombez2,4 Louise Poppe1,2☯*, Celien Van der Mispel1,2☯, Ilse De Bourdeaudhuij1, Maïte´ Verloigne1,
Samyah Shadid3, Geert Crombez2,4 Louise Poppe1,2☯*, Celien Van der Mispel1,2☯, Ilse De Bourdeaudhuij1, Maïte´ Verloigne1,
Samyah Shadid3, Geert Crombez2,4 1 Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent
University, Ghent, Belgium, 2 Department of Experimental-Clinical and Health Psychology, Faculty of
Psychology and Educational Sciences, Ghent University, Ghent, Belgium, 3 Department of Endocrinology,
Ghent University Hospital, Ghent, Belgium, 4 Centre for Pain Research, University of Bath, Bath, United
Kingdom a1111111111
a1111111111
a1111111111
a1111111111
a1111111111 ☯These authors contributed equally to this work. * louise.poppe@ugent.be ☯These authors contributed equally to this work. * louise.poppe@ugent.be Introduction The prevalence of many chronic diseases, such as type 2 diabetes, cardiovascular diseases and
cancer, is high and still rising [1]. A healthy lifestyle, including sufficient physical activity (PA)
and fruit and vegetable intake, can prevent these diseases, or alter their negative consequences
[2–6]. However, only 35% of the Western adult population follows the guidelines of 30 min-
utes moderate- to vigorous PA on 5 days per week (and preferably every day), whereas 24%
meets the norm of eating 5 or more servings of fruit and vegetables per day [6–8]. Even people
for whom having a healthy lifestyle is key in the management of their disease, such as patients
with type 2 diabetes, often fail to be physically active on a regular basis and fail to conform to a
disease-specific dietary regime [9–11]. Consequently, there is a strong need for effective and
easy-to-implement interventions that target a healthy lifestyle. Internet-based interventions have the potential to reach a large part of the population,
while still being able to offer a personal approach. Indeed, via computer tailoring e- (elec-
tronic) health features can be adapted to the user’s specific needs. Such interventions are
promising in changing health behaviours [12], such as increasing PA levels and altering dietary
habits [13–18], especially when interventions are informed by solid theory and use behaviour
change techniques that are evidence-based [16, 19–21]. However, even when eHealth interven-
tions are theory- and evidence-based, attrition is often high and affects the potential effect of
these programmes [22, 23]. In order to address this challenge, it has been recommended to
involve users in the design and testing of eHealth tools [24]. The experience and opinion of
end-users about core elements of online interventions may further guide eHealth development
and understand eHealth usage [25]. As eHealth interventions are often used in various target
groups [26], it is important to investigate possible differences in perceptions, opinions and
preferences between user groups. Only by doing so the needs of different target populations
can be taken into account. In this paper, we investigate the perspectives of users on a web-based programme (the web-
site ‘MyPlan 1.0’) that aims to increase PA and fruit and vegetable intake. Conclusions BOF.24J.2015.0007.01). The funders had no role
in study design, data collection and analysis,
decision to publish, or preparation of the
manuscript. BOF.24J.2015.0007.01). The funders had no role
in study design, data collection and analysis,
decision to publish, or preparation of the
manuscript. Although originally created for the general population, ‘MyPlan 1.0’ can also be used in
adults with type 2 diabetes. Nevertheless, more adaptations are needed to make the
eHealth intervention more convenient and less time-consuming. Furthermore, users’ ideas
regarding a healthy lifestyle should be taken into account when designing online
interventions. Competing interests: The authors have declared
that no competing interests exist. Competing interests: The authors have declared
that no competing interests exist. Users’ thoughts and opinions about a self-regulation-based eHealth intervention Results Both groups had similar opinions regarding health behaviours and ‘MyPlan 1.0’. Participants
generally liked the website, but often experienced it as time-consuming. Furthermore, they
regularly mentioned that a mobile application would be useful to remind them about their
goals on a daily basis. Finally, users’ ideas about how to pursue health behaviours often hin-
dered them to correctly use the website. Funding: MV and LP are supported by a grant
from the Fund for Scientific Research Flanders
(FWO) (grant numbers: MV: FWO13/PDO/191;
LP:FWO.3F0.2015.0045.01; www.fwo.be). The
project is also funded by BOF (Ghent University
Special Research Fund) (grant number: 1 / 19 PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Participants We wanted to include twenty participants from the general population and twenty participants
with type 2 diabetes. The intended sample size was based on a similar study using a think
aloud interview [35]. Furthermore, the meta-analysis of Hwang and Salvendy (2010) indicated
that 10±2 participants is sufficient for usability tests such as the think aloud method [36]. The participants from the general population were recruited via an available database, con-
sisting of individuals who had expressed their interest to participate in studies of the Ghent
Health Psychology Research Group via a website (http://www.healthpsychology.ugent.be/
vrijwilligers), and via the snowball sampling technique. Participants were purposively sampled
to have an equal distribution of men versus women, participants with low versus high educa-
tion level and younger versus older persons. Inclusion criteria were being 18 years old and
Dutch speaking. Participants with type 2 diabetes were recruited via advertisements distrib-
uted by the Diabetes Association Flanders and the Ghent University Hospital and via the
snowball sampling technique. For this group, we aimed to create an equal distribution in men
versus women. Patients had to be 18 years old, Dutch speaking and being 1 month post-
diagnosis to be eligible for participation in the study. Six persons from the general population were not willing to take part in the study. One per-
son with type 2 diabetes could not participate because she did not have a computer. Conse-
quently, another person with type 2 diabetes was recruited. Some of the participants were
acquaintances of the interviewers. The study was approved by the Committee of Medical Ethics of the Ghent university hospi-
tal (B670201526613) and written informed consent was obtained. There was no reimburse-
ment for participation in the study. Introduction ‘MyPlan 1.0’ is
grounded in self-regulation theory [27, 28], and guides users through the processes of behav-
iour change via different evidence-based techniques, such as setting specific goals (goal-set-
ting), deciding how these goals can be reached (action planning), foreseeing barriers and
possible solutions (coping planning) and monitoring the behaviour change process. These
behavioural targets and self-regulation techniques are relevant for the general population as
well as for individuals with chronic diseases [29]. The potential use of ‘MyPlan 1.0’ by patients
with type 2 diabetes was also suggested by general practitioners who reflected upon the useful-
ness of that intervention for their practice [30]. Indeed, disease management of patients with
type 2 diabetes also includes alterations in PA and diet [31]. Developing an inclusive tool may
then be non-stigmatizing and more cost-effective than creating an intervention specifically
designed for adults with type 2 diabetes. 2 / 19 PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Users’ thoughts and opinions about a self-regulation-based eHealth intervention ‘MyPlan 1.0’ is effective in increasing PA and the intake of fruit and vegetables (trial regis-
tration on ClinicalTrials.gov: NCT02211040) [32, 33]. Adults of the general population per-
ceive the intervention as feasible and acceptable [32, 34]. Notwithstanding, only 24% of the
users completed the entire intervention [34]. Such high attrition rates may indicate that
‘MyPlan 1.0’ was designed too much from a top-down perspective (i.e. from a theoretical point
of view) and highlights the need for more in-depth research regarding the users’ perspectives. Assessing users’ experiences while performing the online programme may guide further adap-
tations to the programme, and may also inform other researchers about how possible end-
users experience online programmes and how programmes can be adapted to better meet the
users’ needs. The aim of this paper is to understand the experience of potential users, both adults from
the general population and individuals with type 2 diabetes, via a think aloud procedure and a
self-report questionnaire. Because self-report questionnaires only allow general inferences and
are sensitive to recall bias, we also used a think aloud procedure to assess users’ thoughts while
performing each step of the programme. In so doing, users provide more immediate reactions
in comparison with the opinions expressed in retrospective focus groups and interviews. PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 The intervention ‘My Plan 1.0’ ‘MyPlan 1.0’ is an eHealth tool designed to increase PA and the intake of fruit and vegetables
in the general population [37]. The fully-automated and freely accessible website (www. mijnactieplan.be) incorporates several self-regulation techniques [27] and consists of three
modules: a start module, a first follow-up module (one week after the start module) and a sec-
ond follow-up module (one month after the start module). 3 / 19 PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Users’ thoughts and opinions about a self-regulation-based eHealth intervention Fig 1. Overview of the start module. https://doi.org/10.1371/journal.pone.0190020.g001 Fig 1. Overview of the start module. https://doi.org/10.1371/journal.pone.0190020.g001 https://doi.org/10.1371/journal.pone.0190020.g001 Fig 1 displays an overview of the components of the start module and the order in which
they appear. First, users choose whether they would like to increase their PA, their intake of
fruit, or their intake of vegetables, and answer questions assessing demographic information. Thereafter, they fill out a questionnaire to assess the baseline level of their selected health
behaviour. PA is assessed by the International Physical Activity Questionnaire (IPAQ-L) [38]. Fruit and vegetable intake is assessed by the Flemish Fruit Test and Vegetable Test [39]. Users
also answer questions about personal determinants for behaviour change, such as outcome-
expectancies and self-efficacy. This is done for research purposes. Next, users receive tailored
feedback based on their answers on the questionnaire assessing the chosen health behaviour,
and are asked whether they would like to make a plan to change this behaviour. Users can
decide to make a plan or leave the website. By going through the coping and action planning
components, users respectively look for solutions to tackle possible barriers (e.g. “I will put my
running shoes at the door so I don’t forget about my plan”) and create their own specific plan
to be more physically active, to eat more fruit or to eat more vegetables (e.g. “Every Tuesday I
will run for 30 minutes”). During this process, users have the opportunity to create implemen-
tation intentions in the form of an if-then plan (e.g. “If I come home from work, I will run for
30 minutes in the neighbourhood) [40]. Their specific plans together with possible barriers
and solutions are then shown in a printable format. Finally, the website invites users to moni-
tor their behaviour change and to send their plan to friends and family in order to receive
social support. PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Protocol and procedures The protocol of the think aloud procedure was based on a think aloud study by Yardley and
colleagues (2010) [35]. Two female researchers (LP and CVDM) and two female master stu-
dents in Clinical Psychology (ED and VVH) performed the think aloud procedure. LP has a
Master’s degree in Experimental and Theoretical Psychology. CVDM has a Master’s degree
in Clinical Psychology. The master students were trained by LP and CVDM. Participants
were visited at home by one of the researchers. They first completed a questionnaire assess-
ing demographic information. Participants with type 2 diabetes also reported the time
since their diagnosis. Participants received the following instructions for the think aloud
procedure: “‘MyPlan’ helps people to live a healthier life. Via this tool you can choose whether you like to
eat more vegetables, consume more fruit or increase your physical activity. ‘MyPlan’ will give
you advice about your current health behaviours and help you with making a plan to change
these behaviours step by step. Currently, we try to improve the programme, and you can help
us with this. We will require you to perform the programme and develop your own plan. When going through the programme, please state out aloud what comes to your mind. Please
do not refrain from giving critical remarks, as we can learn a lot from these comments. Also
positive experiences can be stated.” To let participants become acquainted with verbalizing their thoughts, a short exercise was
provided. Participants were instructed to imagine their house and count the windows. They
had to state out aloud how they imagined walking through each room and counting the win-
dows. After the exercise, participants went through the website on their own computer at their
own pace. Verbalizations were voice-recorded and the computer screen was filmed via a tablet. In contrast to the standard intervention, participants were instructed to start the first follow-
up module immediately after completing the start module. Participants did not perform the
second follow-up session, because it is similar to the first follow-up session. When participants forgot to verbalize their thoughts, prompts such as “please try to say out
aloud what comes to your mind” or “what comes to your mind when you see this?” were given
by the researcher. When participants completed the second module of the programme, the
researcher asked them how they generally perceived the website and what they liked or
disliked. The intervention ‘My Plan 1.0’ PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 4 / 19 Users’ thoughts and opinions about a self-regulation-based eHealth intervention During the follow-up modules (one week and one month after the start module), users
complete questions to assess whether they have been able to change the health behaviour of
their choice and to receive tailored feedback on their change. Thereafter users have the possi-
bility to adapt their plan based upon the success or failure of their previous plan. PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Data analysis For the Website Evaluation Questionnaire, sum scores for each scale were calculated by adding
the scores for each item of a subscale (minimum = 1; maximum = 5), resulting in a possible
maximum score of 15 for each scale. Inductive thematic analysis was conducted in order to identify recurring patterns in par-
ticipants’ perceptions about ‘MyPlan 1.0’. Thematic analysis has been defined as “a method
for identifying, analysing and reporting patterns (themes) within data” ([42] page 6). Induc-
tive or “bottom-up” thematic analysis codes the data without a pre-existing framework to do
so [42]. This technique was chosen for two reasons. First, by using a data-driven way of cod-
ing we maximally explore users’ perceptions instead of framing their ideas according to a spe-
cific theory. Second, we wanted to explore whether different themes would emerge as a
function of group, i.e. the participants from the general population and the type 2 diabetes
group. In order to code the data we followed the analysis process described by Braun and
Clarke (2006). In a first step, all the recordings were transcribed verbatim. None of the transcripts were
returned to the participants for comments. Two researchers (CVDM and LP) read the tran-
scripts to get acquainted with the data. While reading, some general findings were written
down. In the second step, the data were read again, and initial codes were generated using
qualitative data analysis software nVivo 11 (QSR International Pty. Ltd. Version 11, 2015). During this phase, no limit was set on the amount of generated codes. CVDM and LP each
coded the data of 10 randomly selected participants from the general population and 10 partic-
ipants with type 2 diabetes. In the third step, codes related to different opinions or experiences
(e.g. codes expressing opinions regarding lay-out versus codes expressing experiences of
awareness) identified in more than one participant’s transcript were brought together in differ-
ent themes and a first differentiation between main and subthemes was established (e.g. opin-
ions regarding lay-out and user-friendliness are both related to the design of the website, but
not to the usefulness of the website). The codes were now classified under the themes accord-
ing to the principles of internal homogeneity and external heterogeneity. Themes with a low
number of codes were removed or integrated within other themes. Protocol and procedures Finally, participants filled out the Dutch version of the Website Evaluation Questionnaire
[41]. This questionnaire consists of three subscales, each having three items. The first subscale
assesses users’ perceptions regarding the personal relevance of the eHealth tool. The second
subscale measures the extent to which users experience the tool enjoyable and attractive (i.e. their engagement with the tool). The third subscale assesses whether users feel like the tool
helped them with self-assessment and goal-setting. All items are rated on a Likert-scale, rang-
ing from 1 (strongly disagree) to 5 (strongly agree). The home visits were carried out from March 2016 until May 2016, and lasted approxi-
mately 75 minutes. 5 / 19 PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Users’ thoughts and opinions about a self-regulation-based eHealth intervention Participants Twenty adults from the general population and twenty adults with type 2 diabetes participated
in the study. Demographic information for both groups is shown in Table 1. Data analysis This phase was carried out
by CVDM for the data of the participants from the general population, whereas LP did the
same for the data of the participants with type 2 diabetes. Next, all data was read again but with
the identified themes in mind. This was done to check whether the data was well captured by
the themes. Finally, CVDM and LP discussed and defined the final themes for both groups. If
no consensus was reached, a third researcher (LD) was consulted. The participants did not
provide feedback on the findings. The completed version of the consolidated criteria for
reporting qualitative research (COREQ) checklist is added as S1 File. Website Evaluation Questionnaire Table 2 shows the results from the Website Evaluation Questionnaire for both the general sam-
ple and the individuals with type 2 diabetes. A fairly good score was given for each of the sub-
scales by both groups. 6 / 19 PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Users’ thoughts and opinions about a self-regulation-based eHealth intervention Table 1. Demographic information. General Sample (n = 20)
Diabetes Sample (n = 20)
Mean age (SD, range)
42.65 years (14.47, 20–
60)
64.30 years (15.30, 18–83)
Women
11 (55%)
12 (60%)
Level of education
Primary school
0 (0%)
1 (5%)
Lower secondary education
1 (5%)
3 (15%)
Higher secondary education
13 (65%)
3 (15%)
College
3 (15%)
9 (45%)
University
4 (20%)
3 (15%)
Marital status
Single
11 (55%)
3 (15%)
Married
8 (40%)
15 (75%)
Cohabiting
1 (5%)
0 (0%)
Widowhood
0 (0%)
2 (10%)
Mean reported time since diagnosis (SD,
range)
NA
145.80 months (95.21,
6–324)
https://doi.org/10.1371/journal.pone.0190020.t001 Table 1. Demographic information. Think aloud procedure The content of the remarks from the general sample and the adults with type 2 diabetes was
very similar. No group-specific themes were identified. Consequently, the results of both
groups are discussed together. Table 3 gives an overview of the themes and shows the impor-
tance of each subtheme in the dataset by displaying the number of participants who endorsed
the subtheme. Knowledge. Many participants stated their opinion about a healthy lifestyle (i.e. the posi-
tive effects of sufficient PA and the intake of fruit and vegetables). Some users agreed that hav-
ing a healthy lifestyle has a positive effect on their physical and mental wellbeing, whereas
others disagreed. Below some quotes of participants are provided. Underlined text indicates
that the participant was reading the content from the website out aloud. Table 2. Results from the Website Evaluation Questionnaire. Questions according to subscales
Scale
Range
General Sample Mean (SD,
range)
Diabetes Sample Mean (SD,
range)
Personal Relevance
3–15
10.45 (2.16, 6–14)
10.85 (1.93, 6–14)
The information and advice provided by the website were of personal
relevance to me
1–5
3.70 (0.73, 2–5)
3.65 (0.75, 2–5)
The website addressed my specific problems
1–5
3.10 (0.91, 1–4)
3.45 (0.83, 2–5)
The information and advice provided by the website were appropriate for
me
1–5
3.65 (0.99, 1–5)
3.75 (0.72, 2–5)
Engagement
3–15
10.90 (2.97, 5–14)
11.35 (2.03, 8–15)
The website kept my attention
1–5
3.85 (0.99, 2–5)
4.05 (0.83, 2–5)
The website was engaging
1–5
3.45 (1.15, 1–5)
3.80 (0.70, 3–5)
I found the website enjoyable to use
1–5
3.60 (1.23, 1–5)
3.50 (1.00, 1–5)
Goal-setting
3–15
11.10 (2.02, 7–13)
11.65 (1.93, 7–15)
The website helped me to plan
1–5
3.60 (0.75, 2–4)
3.80 (0.83, 2–5)
The website helped me to think about my own behaviour
1–5
4.00 (0.79, 2–5)
4.00 (0.79, 2–5)
The website helped me to set goals regarding my PA / fruit intake/
vegetable intake
1–5
3.50 (1.15, 1–5)
3.85 (0.81, 2–5)
htt
//d i
/10 1371/j
l
0190020 t002 Table 2. Results from the Website Evaluation Questionnaire. 7 / 19 Users’ thoughts and opinions about a self-regulation-based eHealth intervention Table 3. Number of participants that addressed a subtheme. PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Think aloud procedure Theme
General Sample (N = 20)
Diabetes Sample (N = 20)
Knowledge
Perceptions regarding a healthy lifestyle
16 (80%)
13 (65%)
Perceptions regarding behaviour change
18 (90%)
15 (75%)
Design of the intervention
General appreciation of the website
14 (70%)
14 (70%)
User friendliness
19 (95%)
20 (100%)
Time-efficiency
15 (75%)
18 (90%)
Lay-out
8 (40%)
4 (20%)
Usefulness of the website
Opinion on the motivational value of the website
16 (80%)
10 (20%)
Opinion on the informative value of the website
10 (50%)
9 (45%)
Feelings of awareness elicited by the website
14 (70%)
10 (50%)
Personal relevance
15 (75%)
19 (95%)
Recommendations
10 (50%)
6 (30%)
https://doi.org/10.1371/journal.pone.0190020.t003 Table 3. Number of participants that addressed a subtheme. “Then I will have a smaller chance on getting diseases (cf. when eating more vegetables). . . I
hope so, but I don’t think it has much to do with it.”
(Female, 57)
“If I eat more fruit, then I will have a smaller chance on getting diseases. I do think that eating
fruit might indeed be healthy.”
(Male, 23)
“My mental wellbeing will be better (cf. when being more physically active). . . yeah, since I will
exercise and lose weight.”
(Male, 49)
“My mental wellbeing will be better. . . those things (cf. mental wellbeing and eating fruit) are
poorly related, it hardly affects your mental state.”
(Male, 78, type 2 diabetes)
Users often expressed their uncertainty about which actions actually are health-related. “I make fresh soup. Does that also count?”
(Female, 83, type 2 diabetes)
“I once read that eating fruit after a meal is not healthy because of the fermentation process. . . I will practically never eat it after a meal.”
(Female, 64, type 2 diabetes)
“I often eat yogurt with fruit, but I guess that does not count?”
(Female, 48)
Some users shared their opinion about behaviour change and stated that creating action Some users shared their opinion about behaviour change and stated that creating action
plans was unnecessary. In addition, users often believed that creating specific plans is difficult
due to changes in their week schedules. PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 8 / 19 Users’ thoughts and opinions about a self-regulation-based eHealth intervention Users often stated that they did not need or want any social support when trying to have a
healthy lifestyle. Think aloud procedure Consequently, many people were reluctant to send their plans to friends or
family. “Do you think other people will support you? What has that to do with it? I think it has nothing
to do with each other.”
(M l
23) “Do you think other people will support you? What has that to do with it? I think it has nothing
to do with each other.”
(Male, 23) PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 (Male, 23) “I’m not going to send it, I’m doing this for myself”
(Female, 73, type 2 diabetes) urthermore, many users stated that they did not want to monitor their behaviour change. “I’m not going to monitor this, I have my brain. I don’t want to monitor it. I’ll remember it, I
don’t need a book or diary, no. I’m not going to do this, I’m not a child.” “In my case, it’s hard to define whether I have reached my goal and if I reached it, then I don’t
have to write it down. I don’t really see the point to start counting how many times I took the
stairs. I would rather not keep track of this every day.” (Male, 58, type 2 diabetes) The design of the intervention. Participants also verbalized their general appreciation of
the website and often described ‘My Plan’ as a questionnaire rather than an interactive tool
that may help users with behaviour change. “I don’t like to fill in questionnaires, I think it’s a waste of time and it’s not useful for me. I
don’t think I would fill it in a second time.” (Female, 20) 9 / 19 PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Users’ thoughts and opinions about a self-regulation-based eHealth intervention Almost all users had complaints regarding user-friendliness. Generally, there were four
types of remarks. First, participants reported difficulties to fill out the questionnaires to assess
PA, or intake of fruit or vegetables. “I don’t really know how much vegetables weigh. A tomato, how much does it weigh? The rec-
ommendation is 300 grams, but I don’t know how I should envision 300 grams. And one vege-
table weighs more than another one. . .” (Female, 57) Second, most participants found it hard to know how to answer questions, and doubted
whether they were actually doing what the website requested them to do. “The advice gives you a recapitulation and then you think “I didn’t answer the questions well”,
maybe because I didn’t understand them, I don’t know.” (Female, 69, type 2 diabetes) Third, participants often reported difficulties with making the ‘if-then plan’. “I find “if-then” difficult. . . It’s hard to put it into words, because well. . . PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 (Male, 47) “I think that making a plan helps you stick to the goal. If you really have a plan, I think you
believe that you. . . otherwise you wouldn’t make it! So, I will do it.” Nevertheless, participants who did not like the idea of making specific plans, were not moti-
vated by the action planning component of the intervention. “I don’t really think it’s necessary. I don’t think people will need the website to fill-in what they
have done. I don’t need it. I also don’t think it will have a large influence on whether or not I
will reach my goals, to eat fruit five times a week. That’s my opinion.” “If this would go together with a dietician or a doctor or do it in a hospital, then I can imagine
that it will be followed, but people on their own, they fill it in and forget about it.” “If this would go together with a dietician or a doctor or do it in a hospital, then I can imagine
that it will be followed, but people on their own, they fill it in and forget about it.”
(Female, 76, type 2 diabetes) Participants often verbalized their opinion about the informative value of the website and
stated that they had learned something. These statements were mostly evoked when partici-
pants read the guidelines regarding PA and the intake of fruit and vegetables or when the web-
site displayed their BMI. “Two pieces of fruit a day, interesting!”
(Male, 56)
“Eating olives also counts? It’s strange that it’s a fruit, it surprises me!”
(Male, 60)
“I find this (cf. the action plan) informative”
(Male, 78) (Male, 23) I am an economist,
but you can’t say three or five or seven, “if-then” just gives you too much freedom.”
(Male, 47) Finally, the website offered users the possibility to send their plans to friends and family. However, users often did not know the email address of the persons they wanted to send it
to. “Would you like to show your plan to someone. . . yeah, why not. Email address, I don’t know
by heart. . .”
(Male, 78, type 2 diabetes) “Would you like to show your plan to someone. . . yeah, why not. Email address, I don’t know
by heart. . .” (Male, 78, type 2 diabetes) Many participants had remarks about the time-efficiency and stated that it took too much
time to go through the website. Furthermore, filling out the questionnaires was often perceived
as a waste of time. “But it does take some time and you need to read it carefully too. And now we are lucky, but if
you fill it out during the evening and the phone rings or at the office and someone walks in,
you could be distracted, maybe it should be formulated more concisely.” “I think it’s—well not for me, because I have time—I think it takes too long and beats aroun
the bush. It’s too long, I would have forgotten about it!” “I think it’s—well not for me, because I have time—I think it takes too long and beats around
the bush. It’s too long, I would have forgotten about it!” (Female, 76, type 2 diabetes) (Female, 76, type 2 diabetes) (Female, 76, type 2 diabetes) Participants who had remarks about the lay-out. They often disliked how the website
looked, but appreciated the large font of the text. 10 / 19 PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 attractive website. . . Look at it. ng. . . It’s for old people.”
as a large font, it invites you to
es)
ite. Opinions about the moti
ts found it stimulating to mak
ntake of fruit or vegetables. cf. the action plan) is well-defin
sers’ thoughts and opinions about Users’ thoughts and opinions about a self-regulation-based eHealth intervention “I really don’t find it an attractive website. . . Look at it. It is ugly as sin, it is not attractive, it is
not interactive, it’s nothing. . . PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 (Male, 23) It’s for old people.” (Male, 58, type 2 diabetes) Usefulness of the website. Opinions about the motivational value of the website were
mostly positive. Participants found it stimulating to make specific plans to be more physically
active or to increase their intake of fruit or vegetables. “Two pieces of fruit a day, interesting!” “Two pieces of fruit a day, interesting!”
(Male, 56)
“Eating olives also counts? It’s strange that it’s a fruit, it surprises me!”
(Male, 60)
“I find this (cf. the action plan) informative”
(Male, 78) PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 11 / 19 Users’ thoughts and opinions about a self-regulation-based eHealth intervention Participants often expressed feelings of awareness when reading the guidelines about PA
and the intake of fruit and vegetables, or when filling out the questionnaire regarding these
behaviours. “Damn, that’s not much. Horrible. . .” (Female, 56, type 2 diabetes) “I think it’s good that you are getting confronted with it and they highlight it and that they
really inculcate it.” (Male, 78, type 2 diabetes) Perceptions regarding personal relevance were also stated. Although the website was cre-
ated for adults in the general population, some participants felt like they did not belong to the
target group and believed that the website was poorly tailored to their situation. “It really depends on your age. You will not work in the garden when your back is starting to
hurt. And if you are young, you will do more household chores, you will paint and perform
renovations, but if it is done then it’s done.” “Physical activity during work. . . Well, first you need to have work!”
(Male, 57) Participants with type 2 diabetes often stated that the suggestions for fruit did not fit within
their dietary scheme. “I shouldn’t eat apples, it’s all sugars they say. . . Mangos. . . I also don’t eat it.”
(Male, 78, type 2 diabetes) While going through the website, some people shared their ideas about how ‘MyPlan 1.0’
could be adapted. Most recommendations involved creating a mobile application so people
would be easily reminded to their goals. “If you really want to do it well, then you have to monitor it. But I am not good at doing this,
so an app would be really ideal to do this.” so an app would be really ideal to do this. (Male, 47)
“With an app you will be able to reach much more since you can send messages”
(Male, 60)
“It would be nice if the website showed graphs and if you could create your own tables.”
(Male, 49)
“I find it non-committal. I would rather send stuff on a daily basis. PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Discussion This study investigated the perspectives of users on a self-regulation-based eHealth tool
labelled ‘MyPlan 1.0’ via a self-report questionnaire and a think aloud procedure. Noteworthy,
the results of the Website Evaluation Questionnaire and the think aloud procedure indicate
that participants from the general population and patients with type 2 diabetes had similar per-
ceptions about health behaviours and ‘MyPlan 1.0’, except regarding the suggestions proposed
by the website for fruit intake. This difference is appropriate. The norms for the amount of
fruit during the day are different for people with type 2 diabetes than for the general popula-
tion. Several participants with type 2 diabetes stated to avoid some types of fruit because of the
potential impact upon their sugar level. Notwithstanding, research shows that the consump-
tion of fresh fruit, when limiting the portions based on the choice of fruit and adjusting the
insulin amounts to these choices, should be encouraged rather than discouraged in this popu-
lation [10, 43, 44]. Hence, eHealth tools targeting adults with type 2 diabetes may also provide
users with correct and up to date information about dietary guidelines. For example, when
users with type 2 diabetes create a plan to replace unhealthy snacks by a piece of fruit the pro-
gramme may explain why consuming snacks marketed specifically for people with type 2 dia-
betes should be discouraged and why it is beneficial to consume fresh fruit [44]. The same
holds for guidelines regarding PA. For example, when users with type 2 diabetes create a plan
to go hiking, information regarding the importance of regular blood glucose checks could be
shown [45]. Nevertheless, it is promising that similar comments and remarks were stated by the sample
with type 2 diabetes and the sample from the general population. This may indicate that there
is a large overlap between the needs and expectations of both groups regarding an eHealth tool
targeting a healthy lifestyle. If specific adaptations (e.g. adding information about the beneficial
effects of fruit intake or about the importance of foot care) are made, ‘MyPlan 1.0’ has the
potential to be a suitable tool for this clinical group as well. These findings may encourage
other researchers to adapt existing interventions to new target populations as it may be more
cost-effective and less stigmatizing than creating new condition-specific interventions. According to the Website Evaluation Questionnaire users experienced ‘MyPlan 1.0’ as
engaging. “Two pieces of fruit a day, interesting!” I would observe it more
closely and react rapidly to people following a plan. You would get an automatic email saying
“Have you eaten two pieces of fruit, yes or no?” and then they have to fill in which ones.”
(Female, 41, type 2 diabetes) PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 12 / 19 Users’ thoughts and opinions about a self-regulation-based eHealth intervention PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Discussion This was better captured by the
think aloud procedure: users described the tool rather as a long questionnaire than an inter-
vention. They stated that it took too much time to go through the website and answer all the
questions. Furthermore, they described that some questions were difficult and confusing. Although researchers are probably well aware that users prefer short and easy interventions
[53], it remains an issue to specifically address. For example, Yardley and colleagues [35] also
found that pages with extensive questions from their health-care website were often perceived
as excessive by the users. In order to overcome this problem, researchers should check with users whether interven-
tions are sufficiently short and do not contain too much text, and adapt when deemed neces-
sary. It is clear from our findings that extensive questionnaires should be avoided in online
interventions, and kept to a minimum. Evidently, research on the efficacy of interventions
may require multiple questionnaires at baseline, during and after intervention, and at follow-
up moments. When this is the case, we recommend that participants are explicitly informed
that these questionnaires are only for research purposes and are not part of the intervention. Another possibility to reduce the length of the online intervention is to only include the neces-
sary components of behavioural change. Therefore, more research is warranted to identify the
optimal combination of self-regulation techniques. Apart from frustrations regarding time
efficiency, some users stated that they disliked the lay-out of ‘MyPlan 1.0’. This problem can be
tackled by involving members of the target population early on in the developing process. Sev-
eral authors have provided guidelines to adapt the lay-out of websites to specific target popula-
tions (for example see [54, 55]). Finally, many users suggested that a mobile application would be useful for monitoring
their behaviour and helping them remind about their goal. Indeed, self-monitoring has
proven to be one of the most effective techniques for behaviour change [56]. A mobile appli-
cation targeting a healthy lifestyle (mHealth) could indeed be a more convenient tool for self-
monitoring and lead to a more sustained behaviour change by providing daily reminders and
support. Furthermore, mHealth has shown to be promising in altering health behaviours [57,
58]. This study has several strengths. First, the think aloud method allows us to grasp immedi-
ate thoughts and reactions of users, not compromised by recall bias or researcher suggestions. Discussion This finding is further corroborated by the think aloud procedure. Users reported
that the website provided new information and raised awareness about the selected beha-
vioural target. The results of the questionnaire furthermore show that the participants per-
ceived the website as being personally relevant. However, the think aloud procedure revealed
that personal relevance can still be improved: some participants stated that the website was
poorly tailored to their specific situation. The effectiveness of offering a personalised approach
by using tailored feedback and showing information (such as for example success stories)
based on the user’s characteristics is well-established in research [18, 46–48] and should there-
fore be included as a standard element in all behaviour change interventions. The results of the Website Evaluation Questionnaire indicate that users valued the website
as helpful for goal-setting and self-assessment. This finding was also corroborated by the think
aloud results: most of the users found it useful to make a tangible and concrete plan. Literature
has shown that action planning can indeed be an effective technique for behaviour change [28,
49]. Nevertheless, action planning strategies should be offered in a way that is understandable
for users. For example, although implementation intentions have shown to be effective in facil-
itating behaviour change [40, 50–52], users experienced great difficulties in creating their own
implementation intentions. Consequently, implementation intentions should be accompanied
by clear instructions and examples. Important to note however is that a fair amount of users
reported that they did not see the point of making a specific plan for PA, fruit or vegetable PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 13 / 19 Users’ thoughts and opinions about a self-regulation-based eHealth intervention intake. Likewise, some users did not understand why they should monitor their behaviour
change or why they would seek for social support. This can be due to a lack of knowledge
about how behavioural change is achieved. Therefore, future interventions should include the
rationale for these components and give information to users about behaviour change and the
self-regulation techniques that can be of aid. Even more, one could give the users more auton-
omy regarding which behaviour change techniques they want to apply in a specific situation. An important finding of our study is that the Website Evaluation Questionnaire did not
reveal the frustrations of users about the design of the website. PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 Discussion Second, the perceptions of two different groups were investigated and found to be similar. As
such, ‘MyPlan 1.0’ seems to have potential in clinical samples, such as patients with type 2
diabetes. Finally, the sample was heterogeneous and there was an equal distribution regard-
ing sex, age and education. This study has also some limitations. First, a shortcoming of the
think aloud method is that performing the intervention website interferes with thinking out
aloud. Some users reported difficulties to simultaneously read text and to think aloud. Fur-
thermore, users were more likely to elaborate on the things they found difficult or superflu-
ous than highlighting the aspects they appreciated. Second, there are no norms available for
the Website Evaluation Questionnaire. Therefore, the interpretation of low or high scores is
arbitrary. Moreover, one should be cautious when interpreting results of the Website Evalua-
tion Questionnaire, because users tend to give higher scores on the questionnaire compared PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
December 21, 2017 14 / 19 Users’ thoughts and opinions about a self-regulation-based eHealth intervention to their actual experience [59]. Furthermore, although the calculated means of the Website
Evaluation Questionnaire show that the intervention was perceived as engaging, relevant and
helpful, a large range was found on all three subscales. This suggests that a certain group of
users did not evaluate the intervention positively. Third, the fact that users went through the
follow-up module immediately after filling out the start module compromises the ecological
validity of the comments regarding the follow-up. Fourth, there is always the potential that
results are biased. The–even unintended- influence of researchers (e.g. training, profession)
may result in a confirmation bias [60]. However, we used a strict protocol for the think aloud
procedure (e.g. the use of predefined prompts) and for the analyses of the data (e.g. the use of
double coding). Furthermore, the interviewers were not involved in the development of
‘MyPlan 1.0’. Bias may also result from social desirability, especially because the researcher
was sitting next to the participant [61]. In so doing, participants may have provided a more
positive view about ‘MyPlan 1.0’ by neglecting the problems of the programme. However, we
explicitly asked participants not to refrain from remarks, and stressed the constructive nature
of these remarks for the further optimization of the programme. Discussion Finally, we did not assess
specific characteristics of the clinical sample such as their treatment options or the presence
of late-complications. This information might have given us more in-depth knowledge
regarding our study population. To conclude, this study used a think aloud procedure and a questionnaire to gain insight
in the perceptions and preferences of the users of a self-regulation-based eHealth interven-
tion. The presented study showed that the intervention, providing small adaptations, can also
be used in tertiary prevention of type 2 diabetes. We thus argue that ‘MyPlan 1.0’ might be
able to help adults with type 2 diabetes to adopt a healthier way of living which in turn will
have a positive impact on the further development of their disease (i.e. better glycemic con-
trol [45] and a reduced risk of diabetic complications [62]). Furthermore, we found that
there are still strong efforts needed to make eHealth interventions more convenient and less
time-consuming. Finally, users’ ideas regarding health and behaviour change can form possi-
ble hindrances and should be taken into account. This study could be a first step in the devel-
opment of an engaging eHealth intervention, but more research is needed to investigate how
behaviour change techniques can be more conveniently implemented in eHealth. The use of
mHealth can contribute to this process. Adaptations made to ‘MyPlan 1.0’ based on this
study are described in S2 File. In further developmental phases, perspectives of users should
again be explored in order to make constant improvements regarding personal relevance and
user-friendliness. Acknowledgments We thank Evy Declerck and Victoria Van Hecke for their help with the data collection and
Laurent Degroote for his contribution to the data analysis process. Author Contributions Conceptualization: Louise Poppe, Celien Van der Mispel, Ilse De Bourdeaudhuij, Maïte´ Ver-
loigne, Geert Crombez. Data curation: Louise Poppe, Celien Van der Mispel. Formal analysis: Louise Poppe, Celien Van der Mispel. Funding acquisition: Louise Poppe, Celien Van der Mispel, Ilse De Bourdeaudhuij, Geert
Crombez. Investigation: Celien Van der Mispel. Methodology: Louise Poppe, Ilse De Bourdeaudhuij, Maïte´ Verloigne, Geert Crombez. Project administration: Ilse De Bourdeaudhuij, Maïte´ Verloigne, Geert Crombez. Resources: Samyah Shadid, Geert Crombez. Supervision: Ilse De Bourdeaudhuij, Maïte´ Verloigne, Samyah Shadid, Geert Crombez. Visualization: Louise Poppe, Celien Van der Mispel. Writing – original draft: Louise Poppe, Celien Van der Mispel, Ilse De Bourdeaudhuij, Maïte´
Verloigne, Samyah Shadid, Geert Crombez. Writing – review & editing: Louise Poppe, Celien Van der Mispel, Ilse De Bourdeaudhuij,
Maïte´ Verloigne, Geert Crombez. S1 File. Completed COREQ checklist.
(PDF) S2 File. Adaptations made in ‘MyPlan 2.0’. This file describes how ‘MyPlan 2.0’ was adapted
based on users’ remarks and frustrations discussed in this study. (PDF) S3 File. Think aloud Interviews. This file contains the transcribed interviews. (ZIP) S3 File. Think aloud Interviews. This file contains the transcribed interviews. (ZIP) S4 File. Website Evaluation Questionnaire data. This file contains the data from the Website
Evaluation Questionnaire. (SAV) S4 File. Website Evaluation Questionnaire data. This file contains the data from the Website
Evaluation Questionnaire. (SAV) PLOS ONE | https://doi.org/10.1371/journal.pone.0190020
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An Improved Dynamic Collaborative Filtering Algorithm Based on LDA
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Received May 21, 2021, accepted June 29, 2021, date of publication July 5, 2021, date of current version September 10, 2021. Digital Object Identifier 10.1109/ACCESS.2021.3094519 INDEX TERMS Collaborative filtering, LDA, topic model, time tag. In recent years, an increasing number of studies have used
topic models and review texts to generate recommendations. In the recommendation algorithm, to find the nearest neigh-
bor of the target user, we need to measure the similarity
between users. However, the number of users and items in the
recommendation system is very large, users often only score a
small number of items, and the user rating data are extremely
sparse, which makes the nearest neighbor set obtained by
the traditional similarity measurement method not accurate
enough, resulting in a reduction in the recommendation qual-
ity of the algorithm. In addition, the time factor is very
important context information in recommendation systems. Users’ interests vary greatly in different periods of time. The topics in a document evolve over time. We compare the
inaugural addresses of two presidents in different periods
and present them in the form of word clouds in Figure 1. The higher the word frequency, the larger the display size. It can be seen in the figure that although they were all
inaugural addresses, they used different words, and the use
of high-frequency words was also quite different. Therefore,
when the time span of the corpus is large, the topic model
obviously needs to consider the time factor and the dynamic
change in language. However, most methods ignore the time
factor. Therefore, we propose a hybrid dynamic collaborative
filtering algorithm (HDCF) that can capture the evolution of
topics in a collaborative filtering algorithm. An Improved Dynamic Collaborative Filtering
Algorithm Based on LDA MENG DI-FEI
1, LIU NA
1, LI MING-XIA1,2,3, AND SU HAO-LONG1
1School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116001, China
2School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
3Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang 110168, China
Corresponding author: Liu Na (liuna@dlpu.edu.cn) MENG DI-FEI
1, LIU NA
1, LI MING-XIA1,2,3, AND SU HAO-LONG1
1School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116001, China
2School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
3Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang 110168, China
Corresponding author: Liu Na (liuna@dlpu.edu.cn) This work was supported in part by the National Natural Science Foundation of China under Grant 61402069, in part by the National Key
Research and Development Plan under Grant 2017YFC0821003, and in part by the Natural Science Foundation of Liaoning Province
under Grant 20180550395. ABSTRACT Currently, available collaborative filtering (CF) algorithms often utilize user behavior data to
generate recommendations. The similarity calculation between users is mostly based on the scores, without
considering the explicit attributes of the users with profiles, as these are difficult to generate, or their
preferences over time evolve. This paper proposes a collaborative filtering algorithm named hybrid dynamic
collaborative filtering (HDCF), which is based on the topic model. Considering that the user’s evaluation of
an item will change over time, we add a time-decay function to the subject model and give its variational
inference model. In the collaborative filtering score, we generate a hybrid score for similarity calculation
with the topic model. The experimental results show that this algorithm has better performance than currently
available algorithms on the MovieLens dataset, Netflix dataset and la.fm dataset. under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
VOLU I. INTRODUCTION With the advent of the Internet, the availability of informa-
tion continues to rapidly increase. This abundance makes it
challenging for users to effectively find the information they
need in the high volume of data they can access. To address
this problem, recommendation systems have been proposed
to help users quickly obtain useful information depending on
their past preferences or other sources. Most established recommendation algorithms start with
finding a set of customers. This set of customers has pur-
chased and rated products that overlap with the products
that the current user has purchased and rated. The algo-
rithm aggregates the products from these similar customers,
excludes the products that the user has purchased or rated,
and recommends the remaining products to the user. The purpose of collaborative filtering (CF) is to suggest
new items or to predict the utility of a certain item for a
particular user based on the user’s previous preferences and
the opinions of other like-minded users. Researchers have
proposed many CF algorithms that can be divided into two
main categories: user-based and item-based. In this research,
we focus on user-based methods. The associate editor coordinating the review of this manuscript and
approving it for publication was Ting Li
. 122568 VOLUME 9, 2021 M. D.-Fei et al.: Improved Dynamic Collaborative Filtering Algorithm Based on LDA FIGURE 1. Example of topic evolution. FIGURE 1. Example of topic evolution. attention in the past decade, resulting in significant progress
and adoption by some successful commercial systems. Equation (1) the traditional CF algorithm assigns the same
weight to all items of interest, ignoring the influence of
user time on interest when calculating the similarity. In fact,
the user’s attention to the item will change over time, and the
attention will affect the user’s interest. Therefore, the algo-
rithm should consider the time dimension. Aiming at the
above problems, this paper introduces a time-decay func-
tion in the LDA model that gives different weights to items
according to the time users look at them. The corpus is
divided into time slices according to the time attribute of the
document. The distribution of current topic words is deter-
mined by the distribution of previous time, the time-decay
rate and the weight of words. We also give the approximate
variational posterior of this model. I. INTRODUCTION p
y
y
Along with the deep study of recommendation sys-
tems, researchers introduced the context environment into
recommendation systems, such as time, location, mood,
active state, and network condition. Traditional CF tech-
niques cannot track users’ preferences over a period of
time [1]–[9]. Therefore, temporal dynamics emerged in
recommendation systems. Considering the time interval
between purchases, Wang et al. proposed an opportunity
model. The model determines the items to be recommended
and the best time to recommend a specific product [10]. Mustansar Ali Ghazanfar et al. presented a novel structure
learning technique called the kernel-mapping recommender
(KMR) to make reliable recommendations under sparse,
cold-start, and long-tail scenarios. In 2011, they presented a
fast incremental algorithm for building the model. In 2012,
they constructed user-based and item-based KMR, combin-
ing user-based and item-based KMR and kernels from fea-
ture information [11], [12]. Cheng JiuJun proposed a user
spatiotemporal behavior pattern method combining mobile
personalized attributes and context information. Considering
the popularity of users’ interests, the popularity of subjects
and the impact of users, they built a model based on users’
interests [13]. Nour EI Islem Karabadji considered the rec-
ommended range when selecting the appropriate group. This
helped to make accurate and diverse recommendations simul-
taneously [14]. Niu Z proposed a new knowledge-based topic
model that combined the Dirichlet tree and integrated the
must-links into topic modeling for object discovery. In partic-
ular, to better deal with the polysemy phenomenon of visual
vocabulary, a must-link was redefined such that it only con-
strained one or more specific topics rather than all topics, thus
significantly improving topic coherence [15]. Zhang Xiong
proposed a method that further improved recommendation
accuracy. Within a semantic environment in a document,
entities of different topics were present. Another entity that Equation (2) in the processing of similarity computation,
we calculate a hybrid user similarity score, that is, the inte-
gration of the topic model and traditional similarity. In this way, our approach is different from the established
recommendation algorithms to improve the recommendation
quality. This paper is organized as follows. Section II describes
related work, including CF algorithms and topic models in
the literature. Section III describes the proposed algorithm,
and Section IV presents the results of applying this algorithm
to different datasets. In Section V, we conclude and discuss
further research directions. II. RELATED WORK II. RELATED WORK
d Recommender systems are often based on CF, which relies
only on past user behavior. For example, their previous
transactions or product ratings do not require the creation
of explicit profiles. Notably, CF techniques do not require
domain knowledge and avoid the need for extensive data
collection. In addition, relying directly on user behavior
allows the discovery of complex and unexpected patterns
that would be difficult or impossible to profile using known
data attributes. As a consequence, CF has attracted much 122569 122569 VOLUME 9, 2021 M. D.-Fei et al.: Improved Dynamic Collaborative Filtering Algorithm Based on LDA FIGURE 2. Graphical model representation of LDA. appeared in the same document at the same time was used
to help disambiguate the referenced content to a certain
extent [16]. Zhang and Liu presented a cross-domain recom-
mender system based on kernel-induced knowledge transfer. This method effectively transfers knowledge through over-
lapping entities and alleviates data sparsity issues [17], [18]. Das J proposed a CF method based on clustering, which used
two kinds of hierarchical space to divide the data structure:
K-d tree and quadtree. They clustered or partitioned the
user space according to the user’s location and then used
the generated clustering results to predict the target user’s
score [19]. Zhang, Pengfei, et al. proposed decomposing
the matrix into two nonnegative matrices and then integrat-
ing the time weighting into the evaluation matrix in the
collaborative filtering algorithm [20]. Yu X et al. proposed
two auxiliary domains, i.e., user-side domain and item-side
domain, to solve the sparsity problem. In this method, both
the user side and item side can not only share informa-
tion but also infer domain-independent user and item fea-
tures. They also proposed another cross-domain collaborative
filtering algorithm to alleviate the sparsity problem. This
method first formulates the recommendation problem as a
classification problem in the target domain. Then, Funk-SVD
decomposition is used to extract extra user and item features. Finally, the C4.5 decision tree algorithm is used to predict
missing ratings [21], [22]. Wang joined LDA and a listwise
model to generate collaborative filtering results [23]. Zhang
used a multichannel feature vector to calculate the similarity
between items [24]. FIGURE 2. Graphical model representation of LDA. large-scale corpus. This method assumes that each word is
extracted from a hidden topic. The LDA model can be expressed as a probability graph
model, as shown in Figure 2. III. PROPOSED APPROACH Zdn = multi (θd)
(3) (3) The basic idea of CF algorithms is to provide item recom-
mendations or predictions based on the opinions of other
like-minded users. The opinions of users can be obtained
explicitly from the users or by using implicit measures. In a
typical CF scenario, there is a list of m users U={u1,u2...um}
and a list of n items I={i1,i2...in}. Each user ui has a list of
items rui, which the user has expressed their opinions about. CF algorithms represent the entire m×n user-item data as a
ratings matrix. Each entry ai;j represents the preference score
(ratings) of the ith user on the jth item. Each individual rating
is within a numerical scale; the value zero indicates that the
user has not yet rated the item. For this topic number, we obtain the probability distribution
of word Wd,n as follows: For this topic number, we obtain the probability distribution
of word Wd,n as follows: wd,n = multi
ϕzdn
(4) (4) A k-dimensional Dirichlet random variable θ can take values
in the (k −1)-simplex. It can be expressed as the following
probability density on this simplex: p(θ | α) =
0
Pk
i=1 αi
Qk
i=1 0 (αi)
θα1−1
1
· · · θαk−1
k
(5) (5) where the parameters α1, α2 . . . αk > 0 and 0(x) are the
gamma functions. A key step in CF algorithms is to calculate the similarity
between users. It is typically based on a cosine approach or a
correlation in similarity computation. However, they cannot
find deeper relations between words. A topic model is another
option. In this section, we first introduce the basic idea of
LDA, then introduce our proposed method, give its varia-
tional inference model, then introduce the similarity com-
putation of the HDCF model, and finally the collaborative
filtering prediction model. Given the parameters α and β, the joint distribution of a
topic mixture is: p(θ, z, w | α, β) = p(θ | α)
N
Y
n=1
p (zn | θ) p (wn | zn, β) (6) Integrating over θg and summing over z, the distribution of a
document is: p(w | α, β)=
Z
p(θ | α)
N
Y
n=1
X
zn
p (zn | θ) p (wn | zn, β)
! dθ
(7) II. RELATED WORK
d The shadow circle in the fig-
ure represents the observed variable, the nonshadow circle
represents the potential variable, the arrow represents the
conditional dependency between the two variables, the box
represents the replicate sampling, and the number of repli-
cates is in the lower right corner of the box. The LDA assumes that the prior distribution of the doc-
ument topics is the Dirichlet distribution. That is, for each
document d, its topic distribution θd is θd = Dirichlet(⃗α)
(1) (1) where α is the proportion parameters. where α is the proportion parameters. where α is the proportion parameters. The LDA assumes that the prior word distribution in a topic
is a Dirichlet distribution. That is, for each topic k, its word
distribution ϕ is: ϕd = Dirichlet( ⃗β)
(2) (2) where β is a vector of the topic parameters. For each word Wd,n in document d, we can obtain its
topic number Zdn distribution from the topic distribution θd
as follows: B. GENERATING THE HDCF ALGORITHM Most current topic models are based on the assumption that
documents in a corpus are not sequential; in other words, doc-
uments in a corpus are interchangeable. In fact, this simplified
assumption is inappropriate and inconsistent with the actual
situation. 1) A large number of corpora, such as scientific and
technological literature databases and news databases, are
temporal corpora, and the documents in them have the time
attribute. Some specific text information can only appear in a
certain time period. In addition, many corpora span hundreds
of years; for these corpora, it is obviously inappropriate to
ignore the time order attribute. 2) Language changes over
time, and the topic is bound to evolve over time. FIGURE 3. The process of HDCF algorithm. in Figure 3. This method not only uses time-delay function,
but also gives the derivation process of Variational Inference
in phase 2. The nearest neighbor set is used instead of all
data sets, so as to reduce the sparsity of data in phase 3. To verify the reliability and accuracy of the algorithm,
the number of baselines is increased in the experiment, and
the experimental results std. deviation (with error bars) are
given. The traditional CF algorithm assigns the same weight to
all items of interest, ignoring the influence of user time on
interest when calculating the similarity. This is obviously
unreasonable. Because the attention of users to items will
change with the retention time of items, the attention affects
the interest of users. Therefore, the algorithm should consider
the time dimension to improve the accuracy of the recommen-
dation prediction. Generally, the recently followed items with
high attention of users show their recent interests and hobbies,
so users have a high degree of interest in such items, whereas
users have a low degree of interest in items. According to the time attribute of the document, the corpus
is divided into T time slices. Time slice 1 is the oldest time
slice, time slice T is the latest time slice, and a subset of
documents on each time slice is D ={D1,D2...DT }. Intro-
ducing the weight of time attribute r(r >0). Let the last
browsing time of the topic be ti, the current time be t, and
the distribution of current topic words is determined by the
distribution of previous times, the time-decay rate and the
weight of words. A. UNDERLYING EXISTING LDA LDA is an unsupervised machine learning technique that can
be used to identify potentially hidden topic information in a (7) VOLUME 9, 2021 122570 VOLUME 9, 2021 M. D.-Fei et al.: Improved Dynamic Collaborative Filtering Algorithm Based on LDA FIGURE 3. The process of HDCF algorithm. Taking the product of the probabilities of single documents,
the probability of a corpus is: Taking the product of the probabilities of single documents,
the probability of a corpus is: Taking the product of the probabilities of single documents,
h
b bili
f
i the probability of a corpus is: p(D | α, β) =
M
Y
d=1
Z
p (θd | α)
×
Nd
Y
n=1
X
zdn
p (zdn | θd) p (wdn | zdn, β)
! dθd
(8) (8) Each topic z corresponds to a distribution over an item,
and each user has a distribution θ on a potential topic. The
approach for rating items can be described as follows: the
users choose a topic based on their interests and then choose
an item according to the distribution over this topic. More
specifically, the process is as follows: 1. For each document d, choose θ ∼Dir (α). 2. For each word w for document d (a) Choose a topic zn ∼multinomial (θ). (b) Choose a word wn from p (wn|zn, β), a multinomial
probability conditioned on the topic zn. D. SIMILARITY COMPUTATION OF HDCF MODEL An important step in CF algorithms is to calculate the similar-
ity between users. This result is used to establish a proximity-
based neighborhood between the target user and some similar
users. The main goal of neighborhood formation is to find
an ordered list of l users N = {n1,n2...nl} for each user u. For example, sim(u,N1) is maximum, sim(u,N2) is the next
maximum, and so on. The proximity between two users is
usually measured by a cosine-based similarity. However, both
the cosine and correlation approaches utilize a bag of words. They cannot mind the semantic relationships between words. Additionally, the distribution of topics is affected by the
time-decay rate. θd
t = θd · r(t)
(10) (10) Thus, the dynamic topic model is established as shown in
Figure 4. Let each document on a time slice correspond to a ϕt and
θd
t by the LDA model. For our HDCF method, the generation
process of documents on time slice t is as follows: In our method, we first define the matching degree δt
between document d and topic over word wn on time slice
t as Algorithm 1 Generate process of documents on time slice t Algorithm 1 Generate process of documents on time slice t Algorithm 1 Generate process of documents on time slice t
Input: Document D, hyperparameters α, β, topic number K
Output: topic z, parameters ϕ, θ
for each topic k
if time slice T==1 choose
ϕt ∼Dir(βk,1)
else calculate ϕt ∼Dir(βk,t) according
to Equation (9)
for each document d
calculate θd
t ∼Dir(α)
for each word w in document d
generate the topic from Zd
n,t ∼multi(θd
t )
generate a word from wn,t ∼multi(βZn,t,t) ×
TY
t=1
Dt
Y
d=1
q
θd
t | γ d
t
Nd
Y
n=1
q
zd
n,t | φd
t,n
!! (12) Input: Document D, hyperparameters α, β, topic number K (12) The rest of the iterative and updating process of our model
is very similar to that of the traditional LDA, but the two are
obviously different. The distribution of topics in our method
is related to the degree of time decay, which makes the
iteration and updating process on each document associated
with the previous slice process. B. GENERATING THE HDCF ALGORITHM Aiming at the above problems, this paper introduces the
HDCF model on the basis of reference [25] and gives different
weights to items according to the time users look at the items. Based on the weight of the time attribute, the changes in
users’ interests can be reflected to realize the time-based simi-
larity calculation of interests. The shorter the time for users to
consume items, the higher their corresponding interests will
be, which should have a higher weight, and vice versa. The
difference between our model and reference [25] lies in: The
process of HDCF algorithm is divided into 4 phases as shown ϕt = ϕt−1 · ω · r(t)
ω =
Wt
Wt−1
r(t) =
1
1 + eα(ti−t)
(9) (9) r(t) =
1
1 + eα(ti−t)
(9) where W(t) is the number of words of time slice t and r(t) is
the rate of time decay. VOLUME 9, 2021 122571 M. D.-Fei et al.: Improved Dynamic Collaborative Filtering Algorithm Based on LDA FIGURE 4. LDA with time decay. βt|βt−1 ∼N(βt, σ 2I). With Gaussian ‘‘variational observa-
tions’’, we denote ˆβk,1, · · · ˆβk,T as the variational distribution
ofβk,1, · · · βk,T that retained the sequential structure of the
topic. Thus, using the standard mean-field approximation,
the approximate variational posterior is q(β, z, θ | λ, φ, γ )
= q
βt, zd
n,t, θd
t | ˆβt, φd
t , γ d
t
=
K
Y
k=1
q
βt | ˆβt
Dt
Y
d=1
q
θd
t , zd
t | γ d
t , φd
t
=
K
Y
k=1
q
βt | ˆβt
Dt
Y
d=1
q
θd
t | γ d
t
Nd
Y
n=1
q
zd
n,t | φd
t,n
! =
K
Y
k=1
q
βk,1, · · · φk,T | ˆβk,1, · · · ˆβk,T
×
TY
t=1
Dt
Y
d=1
q
θd
t | γ d
t
Nd
Y
n=1
q
zd
n,t | φd
t,n
!! (12) FIGURE 4. LDA with time decay. B. EVALUATION METRICS Another important step in the CF algorithm is to generate
recommendations based on predictions. After calculating the
similarity between the items, the user can predict the unrated
items based on their similarity. There are numerous measures available to evaluate the rec-
ommendation quality. We use the mean absolute error (MAE)
and the root-mean-square error (RMSE) to evaluate our algo-
rithm. They are common measures in recommender systems. MAE is an average of the absolute errors between predictions
and eventual outcomes, while RMSE is the square root of the
average of the square of all of the errors. MAE and RMSE
are given by There are numerous measures available to evaluate the rec-
ommendation quality. We use the mean absolute error (MAE)
and the root-mean-square error (RMSE) to evaluate our algo-
rithm. They are common measures in recommender systems. To solve the problem of data sparsity, we use the nearest
target users’ neighbors method for prediction [27]. Setting
NBSu as the nearest neighbor for user u, the prediction rui of
user u for item i are obtained by the ratings of user u for the
nearest neighbors set NBSu. MAE is an average of the absolute errors between predictions
and eventual outcomes, while RMSE is the square root of the
average of the square of all of the errors. MAE and RMSE
are given by rui = ru +
P
n∈NBSu
simu,n × (rn,i −rn)
P
n∈NBSu
(
simu,n
)
(17) MAE (ui) =
P
u∈U
ru,i −ˆru,i
n
(20)
RMSE (ui) =
sX
u∈U
ru,i −ˆru,i
2 /n
(21) (17) (20) (21) where sim(u,n) is the similarity between user u and user n, rn,i
is the rating of user n for item i, and rn is the average rating
of user u and user n. Obviously, the lower the value of MAE or RMSE is,
the higher the accuracy of the recommended results. This method calculates the prediction on user u for item i
by computing the sum of the user’s ratings for items that are
similar to i. For the influence of context time, a rating the user
made long ago should be less influential than a rating made
now. To accomplish this, a time delay function fu,i of active
user u for tag ti is used in the prediction computation. divergence to evaluate the similarity of users. divergence to evaluate the similarity of users. In this method, the prediction on user u for item i is
calculated by the average of the user’s ratings. The ratings are
weighted by the similarity between items, which is similar to
item i. However, the recently followed items with high user
attention show their recent interests and hobbies, so users
have a high degree of interest in such items, whereas users
have a low degree of interest in items. Therefore, considering
the time influence on the prediction results, the time-decay
function is introduced into the prediction process in this
paper. simLDA
i,j
= exp−KL(ui,uj)
KL(ui, uj) = KL(ui||uj) + KL(uj||ui)
=
X
k∈m
ln
θi
θk
· θi +
X
k∈m
ln
θj
θk
· θj (15) Considering the advantages of traditional similarity and
topic similarity, we use a hybrid similarity for words in this
paper. simc
i,j =
P
u∈U
ru,i · ru,j
r P
u∈U
r2
u,i · P
u∈U
r2
u,j
simac
i,j =
P
u∈U
(ru,i −ru)(ru,j −ru)
r P
u∈U
(ru,i −ru)2 P
u∈U
(ru,j −ru)2
simp
i,j =
P
u∈U
(ru,i −ri)(ru,j −rj)
r P
u∈U
(ru,i −ri)2 P
u∈U
(ru,j −rj)2 simc
i,j =
P
u∈U
ru,i · ru,j
r P
u∈U
r2
u,i · P
u∈U
r2
u,j
simac
i,j =
P
u∈U
(ru,i −ru)(ru,j −ru)
r P
u∈U
(ru,i −ru)2 P
u∈U
(ru,j −ru)2
simp
i,j =
P
u∈U
(ru,i −ri)(ru,j −rj)
r P
u∈U
(ru,i −ri)2 P
u∈U
(ru,j −rj)2
simi,j = λ(1
3(simc
i,j + simp
i,j + simac
i,j)) + (1 −λ)simLDA
i,j simc
i,j =
P
u∈U
ru,i · ru,j
r P
u∈U
r2
u,i · P
u∈U
r2
u,j
simac
i,j =
P
u∈U
(ru,i −ru)(ru,j −ru)
r P
u∈U
(ru,i −ru)2 P
u∈U
(ru,j −ru)2
simp
i,j =
P
u∈U
(ru,i −ri)(ru,j −rj)
r P
u∈U
(ru,i −ri)2 P
u∈U
(ru,j −rj)2
simi,j = λ(1
3(simc
i,j + simp
i,j + simac
i,j)) + (1 −λ)simLDA
i,j fu,i =
X
j∈Mi
simi,j· exp(−
tu,j −tu,i
tu
)
(18) (18) Recommendation prediction is modified as Recommendation prediction is modified as ∧
ru,i = fu,j · ru,j
P
j∈Mi
fu,j
(19) (19) A. DATASET We use the MovieLens dataset for our first part of the exper-
iments. This dataset consists of 100,000 ratings (1-5) for
943 users of 1,682 movies. We use 80% of the dataset as
the training set and 20% as the test set. In addition to the
MovieLens dataset, we also use the Netflix dataset and last.fm
dataset in the comparison experiments. IV. EXPERIMENTS Our experiment is divided into two parts. The first part
determines all kinds of parameters required by the algorithm,
including the number of topics, neighbor size, and hybrid
similarity parameter. We compare performance with other
traditional methods in the second part. (16) where the similarity simc
i,j is calculated by the cosine mea-
surement, the adjusted cosine similarity simp
i,j improves the
above limitation by subtracting the user’s average score,
correlation-based similarity simac
i,j measures similarity with
the Pearson correlation coefficient, ri is the average of ri, λ is
adjusting parameter. C. VARIATIONAL INFERENCE δt = θd
t · Z
d
n,t
Z
d
n,t =
wn
P
j=1
Zd
j,t
Wt
(13) According to the Bayesian algorithm, the posterior probabil-
ity of document D at time slice t is p(θ, z, w|α, β) = p(θd
t , zd
n,t|wn,t, α, βt)
= p(θd
t , zd
n,t, wn,t|, α, βt)
p(wn,t|, α, βt)
(11) (13) (11) where Z
d
n,t is the distribution of words on topic and Wt is the
number of words on time slice t. Because of the coupling between θ, z, β, the above
probability cannot be directly calculated, so we intro-
duce variational inference. We assume that latent variable
θd
t
is formed by an independent distribution γt and that
latent variable Zd
n,t is formed by an independent dis-
tribution φd
t . In reference [25], the evolution of topic-
term probability with Gaussian noise can be expressed as Then, the rij of document di for word wj in the CF algorithm
is modified by ri,j = δt · ϕt
(14) (14) Then, we regard the topic distribution as the rating of the
document-word matrix and use the KL (Kullback-Leibler) VOLUME 9, 2021 VOLUME 9, 2021 122572 VOLUME 9, 2021 VOLUME 9, 2021 M. D.-Fei et al.: Improved Dynamic Collaborative Filtering Algorithm Based on LDA C. PARAMETER OPTIMIZATION EXPERIMENTS We started our experiments by dividing the dataset into train-
ing and test sections (80% for training and 20% for testing). Then, we measured the sensitivity of some parameters before VOLUME 9, 2021 122573 M. D.-Fei et al.: Improved Dynamic Collaborative Filtering Algorithm Based on LDA TABLE 1. Description of first 5 distribution. FIGURE 5. Number of topic result. FIGURE 6. Effect of neighborhood size and cluster number. FIGURE 7. Result of hybrid user similarity parameter. FIGURE 8. Std. deviation (with error bars) on movielens dataset. TABLE 1. Description of first 5 distribution. TABLE 1. Description of first 5 distribution. FIGURE 7. Result of hybrid user similarity parameter. FIGURE 5. Number of topic result. FIGURE 7. Result of hybrid user similarity parameter. FIGURE 5. Number of topic result. FIGURE 8. Std. deviation (with error bars) on movielens dataset. FIGURE 8. Std. deviation (with error bars) on movielens dataset. FIGURE 6. Effect of neighborhood size and cluster number. FIGURE 8. Std. deviation (with error bars) on movielens dataset. FIGURE 6. Effect of neighborhood size and cluster number. FIGURE 9. Std. deviation (with error bars) on netlix dataset. running the main experiment. These parameters include the
number of topics K, neighborhood size, number of clusters,
and the hybrid user similarity parameter. Based on the results,
we fixed the optimum values of these parameters and used
them for the rest of the experiments. There are three main parameters in the LDA: α, β, and
K. Parameter α denotes the distribution of topics for each
document, β denotes the distribution of words for each topic,
and K denotes the number of topics. We set α = 0.1 and
β = 50/K in our experiment. We set the number of topics K
to range from 10 to 100, incrementing by 10 each time. The
MAE results are shown in Figure 5. FIGURE 9. Std. deviation (with error bars) on netlix dataset. of MAE occurs when K=50. As a result, we set the number
of topics K=50 in the following experiment. We also give the first five distributions of topics and words
over the topics in TABLE 1 when the number of topics It is clear in Figure 5 that MAE performance fluctuates
slightly with different numbers of topics. The minimum value 122574 122574 VOLUME 9, 2021 M. D.-Fei et al.: Improved Dynamic Collaborative Filtering Algorithm Based on LDA TABLE 2. VOLUME 9, 2021 C. PARAMETER OPTIMIZATION EXPERIMENTS Performance results with MAE on movielen dataset. TABLE 3. Performance results with MAE on netflix dataset. TABLE 4. Performance results with MAE on fa.lm dataset. TABLE 5. Performance results with RMSE on movielen dataset. k
20 I i i
i
h
h
h h
i i l
h
h
h
i hb
h
d
i TABLE 2. Performance results with MAE on movielen dataset. TABLE 3. Performance results with MAE on netflix dataset. TABLE 4. Performance results with MAE on fa.lm dataset. TABLE 5. Performance results with RMSE on movielen dataset. TABLE 5. Performance results with RMSE on movielen dataset. k = 20. It is interesting that even though the topic is latent
and there is no direct real-world explanation, the top item
corresponding to each topic allows us to have some form of
interpretation of the item found by the model. these parameters, we change the neighborhood size from
10 to 160 and the cluster number from 5 to 50. Figure 4
depicts our experimental results. The neighborhood size and
the number of clusters affect the prediction quality. As shown in Figure 6, the MAE is lower when the number
of clusters is larger. Therefore, we choose 50 clusters to
compare our proposed algorithm with the other algorithms. The first line is the first 5 topics with their probability. The
remaining line is the word distribution over the corresponding
topic. The topic name and the word is in bold. Our proposed algorithm uses the topic model and some
traditional similarity approach to calculate a hybrid user The neighborhood size and the number of clusters have a
significant influence on the prediction quality. To determine 122575 VOLUME 9, 2021 VOLUME 9, 2021 M. D.-Fei et al.: Improved Dynamic Collaborative Filtering Algorithm Based on LDA TABLE 6. Performance results with RMSE on netflix dataset. TABLE 7. Performance results with RMSE on la.fm dataset. TABLE 8. T-test with MAE. TABLE 7. Performance results with RMSE on la.fm dataset. TABLE 8. T-test with MAE. TABLE 7. Performance results with RMSE on la.fm dataset. TABLE 8. T-test with MAE. TABLE 7. Performance results with RMSE on la.fm dataset. TABLE 7. Performance results with RMSE on la.fm dataset. TABLE 8. T-test with MAE. TABLE 8. T-test with MAE. FIGURE 10. Std. deviation (with error bars) on la.fm dataset. similarity. It is calculated as Equation (16). C. PARAMETER OPTIMIZATION EXPERIMENTS We set the param-
eter λ =0.1, 0.2, 0.3, 0.4, 0.5. Figure 5 shows the results. similarity. It is calculated as Equation (16). We set the param-
eter λ =0.1, 0.2, 0.3, 0.4, 0.5. Figure 5 shows the results. similarity. It is calculated as Equation (16). We set the param-
eter λ =0.1, 0.2, 0.3, 0.4, 0.5. Figure 5 shows the results. ,
,
,
,
g
From Figure 7, we determine that the hybrid parameter λ
is 0.5. We present our experimental results on the MovieLens
10 M dataset, Netflix dataset and last.fm dataset after we
obtain the optimal values of the parameters. The la.fm dataset
contains social networking, tagging, and music artist listening
information from a set of 2K users from Last.fm online
music system. The Netflx dataset contains over 100 million
ratings. The ratings were collected between October 1998 and
December 2005. Each rating has a customer id, a movie id,
the date of the rating, and the value of the rating. In these two
dataset, we generate topic model for ‘‘title’’ and ‘‘tag’’ while
the number of topic is K = 5. We use these three baselines
to demonstrate the ability to semantically interpret LDA. CF-cos represents CF with cosine as the similarity measure. CF-pcc represents CF with the Pearson correlation coefficient
as the similarity measure. CF-ac represents CF with adjusted
cosine as the similarity measure. We also compare three
methods [23], [24], [28], CF-LDA, CF-MCFV and ROST to FIGURE 10. Std. deviation (with error bars) on la.fm dataset. verify the time attribute and hybrid attribute. We set time slide
T = 10. The results of MAE on different datasets are shown
in TABLE 2, TABLE 3 and TABLE 4. The RMSE results
on different datasets are shown in TABLE 5, TABLE 6 and
TABLE 7. In addition, we use the t-test to test the significance and
give one-sample test results in Table 8. We also give std. devi-
ation (with error bars) with MAE in Figure 8, Figure 9 and
Figure 10. We conclude from these results. The MAE and 122576 122576 VOLUME 9, 2021 VOLUME 9, 2021 M. D.-Fei et al.: Improved Dynamic Collaborative Filtering Algorithm Based on LDA RMSE of the proposed method are significantly lower than
those of the other methods. Experimental results show that
the proposed method has high recommendation accuracy. [12] M. A. Ghazanfar, A. Prügel-Bennett, and S. REFERENCES REFERENCES [1] T.-M. Chang and W.-F. Hsiao, ‘‘LDA-based personalized document rec-
ommendation,’’ in Proc. PACIS, 2013, p. 13. [19] J. Das, S. Majumder, P. Gupta, and K. Mali, ‘‘Collaborative recommenda-
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[24] H.-R. Zhang, F. Min, Z.-H. Zhang, and S. V. CONCLUSION Collaborative filtering (CF) is a popular recommendation
algorithm that makes predictions and recommendations based
on the ratings or behaviors of other users in the system. The
traditional CF algorithm assigns the same weight to all items
of interest, ignoring the influence of user time on interest
when calculating the similarity. This paper introduces the
HDCF model and gives different weights to items according
to the time users look at the items. In the future, we will
continue to study how to improve the dynamic topic model
to improve the quality of recommendations. [14] N. E. I. Karabadji, S. Beldjoudi, H. Seridi, S. Aridhi, and W. Dhifli,
‘‘Improving memory-based user collaborative filtering with evolutionary
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Jul. 2019. C. PARAMETER OPTIMIZATION EXPERIMENTS Szedmak, ‘‘Kernel-mapping
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pp. 1068–1082, May 2015. 122577 VOLUME 9, 2021
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English
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Crystal structure of 2-cyano-1-methylpyridinium tetrafluoroborate
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Acta crystallographica. Section E, Crystallographic communications
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cc-by
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data reports data reports ISSN 2056-9890 Crystal structure of 2-cyano-1-methyl-
pyridinium tetrafluoroborate Francesca A. Vaccaro,a Lynn V. Koplitza and Joel T. Magueb* aDepartment of Chemistry, Loyola University, New Orleans, LA 70118, USA, and
bDepartment of Chemistry, Tulane University, New Orleans, LA 70118, USA. *Correspondence e-mail: joelt@tulane.edu aDepartment of Chemistry, Loyola University, New Orleans, LA 70118, USA, and
bDepartment of Chemistry, Tulane University, New Orleans, LA 70118, USA. *Correspondence e-mail: joelt@tulane.edu Received 26 August 2015; accepted 26 August 2015 Edited by E. R. T. Tiekink, University of Malaya, Malaysia The asymmetric unit of the title salt, C7H7N2
+BF4
, comprises
two independent but nearly identical formula units. The solid-
state structure comprises corrugated layers of cations and
anions, formed by C—H F hydrogen bonding, that are
approximately parallel to (010). Further C—H F hydrogen
bonding consolidates the three-dimensional architecture. The
sample was refined as a two-component non-merohedral twin. Table 1
Hydrogen-bond geometry (A˚ , ). D—H A
D—H
H A
D A
D—H A
C1—H1A F7i
0.98
2.50
3.407 (6)
154
C1—H1B F8ii
0.98
2.54
3.498 (6)
166
C1—H1C F3iii
0.98
2.47
3.214 (5)
132
C2—H2 F7i
0.95
2.29
3.190 (5)
157
C3—H3 F1iv
0.95
2.46
3.294 (6)
147
C5—H5 F1v
0.95
2.45
3.306 (5)
149
C8—H8A F2i
0.98
2.48
3.159 (6)
126
C8—H8C F3ii
0.98
2.55
3.437 (6)
151
C9—H9 F3ii
0.95
2.52
3.392 (6)
152
C9—H9 F4ii
0.95
2.59
3.476 (6)
156
C10—H10 F6ii
0.95
2.54
3.167 (6)
123
C12—H12 F5i
0.95
2.49
3.277 (6)
141
Symmetry codes: (i) x þ 2; y 1
2; z þ 1; (ii) x þ 1; y 1
2; z þ 1; (iii) x; y 1; z; (iv)
x þ 2; y 1
2; z þ 2; (v) x þ 1; y 1
2; z þ 2. Keywords: crystal structure; salt; C—H F interactions. CCDC reference: 1420782 CCDC reference: 1420782 CCDC reference: 1420782 Koplitz, L. V., Mague, J. T., Kammer, M. N., McCormick, C. A., Renfro, H. E.
& Vumbaco, D. J. (2012). Acta Cryst. E68, o1653.
Sheldrick, G. M. (2008). Acta Cryst. A64, 112–122.
Sheldrick, G. M. (2015a). Acta Cryst. A71, 3–8.
Sheldrick, G. M. (2015b). Acta Cryst. C71, 3–8.
Spek, A. L. (2009). Acta Cryst. D65, 148–155.
Zhang, Y. (2009). Acta Cryst. E65, o2373. 1. Related literature For structures of other salts of the 2-cyano-1-methyl-
pyridinium cation, see: Koplitz et al. (2012); Kammer et al. (2013). For structures of salts of the isomeric 2-cyanoanilinium
cation, see: Zhang (2009); Cui & Chen (2010). Data collection: APEX2 (Bruker, 2014); cell refinement: SAINT
(Bruker, 2014); data reduction: SAINT; program(s) used to solve
structure: SHELXT (Sheldrick, 2015a); program(s) used to refine
structure: SHELXL2014 (Sheldrick, 2015b); molecular graphics:
DIAMOND (Brandenburg & Putz, 2012); software used to prepare
material for publication: SHELXTL (Sheldrick, 2008) and PLATON
(Spek, 2009). Acknowledgements
JTM thanks Tulane University for support of the Tulane
Crystallography Laboratory. Supporting information for this paper is available from the IUCr
electronic archives (Reference: TK5380). Data collection: APEX2 (Bruker, 2014); cell refinement: SAINT
(Bruker, 2014); data reduction: SAINT; program(s) used to solve
structure: SHELXT (Sheldrick, 2015a); program(s) used to refine
structure: SHELXL2014 (Sheldrick, 2015b); molecular graphics:
DIAMOND (Brandenburg & Putz, 2012); software used to prepare
material for publication: SHELXTL (Sheldrick, 2008) and PLATON
(Spek, 2009). Acknowledgements
JTM thanks Tulane University for support of the Tulane
Crystallography Laboratory. Supporting information for this paper is available from the IUCr
electronic archives (Reference: TK5380). /S2056989015016011
Vaccaro et al. o697 Vaccaro et al. o697 Vaccaro et al. o697 Vaccaro et al. o697 Acta Cryst. (2015). E71, o697–o698 doi:10.1107/S2056989015016011 References
Brandenburg, K. & Putz, H. (2012). DIAMOND. Crystal Impact GbR, Bonn,
Germany.
Bruker (2014). APEX2, SADABS and SAINT. Bruker AXS Inc., Madison,
Wisconsin, USA.
Cui, L.-J. & Chen, X.-Y. (2010). Acta Cryst. E66, o467.
Kammer, M. N., Koplitz, L. V. & Mague, J. T. (2013). Acta Cryst. E69, o1281. p
(
)
y
Zhang, Y. (2009). Acta Cryst. E65, o2373. (
)
y
Spek, A. L. (2009). Acta Cryst. D65, 148–155. S1. Comment The asymmetric unit consists of two independent formula units. A portion of the C—H···F hydrogen bonding network
which aids the packing of the several ions is shown in Fig. 1 with fuller depictions appearing in Figs 2 and 3. The solid
state structure comprises corrugated layers of cations and anions formed by C—H···F hydrogen bonding between them
and approximately parallel to (010). These layers are held to one another by additional C—H···F interactions. S2. Experimental To 0.64 g (0.5 mmol) of 2-cyano-1-methylpyridinium iodide dissolved in 8.5 ml of 95% ethanol was added 1.08 g (0.55
mmol) of solid silver tetrafluoroborate with stirring. The reaction mixture was filtered to remove the precipitated AgI and
the filtrate allowed to evaporate to dryness. From the resulting mass, crystals suitable for X-ray diffraction were selected. S3 Refinement data reports References
Brandenburg, K. & Putz, H. (2012). DIAMOND. Crystal Impact GbR, Bonn,
Germany. Bruker (2014). APEX2, SADABS and SAINT. Bruker AXS Inc., Madison,
Wisconsin, USA. Cui, L.-J. & Chen, X.-Y. (2010). Acta Cryst. E66, o467. Kammer, M. N., Koplitz, L. V. & Mague, J. T. (2013). Acta Cryst. E69, o1281. Acta Cryst. (2015). E71, o697–o698 o698
Vaccaro et al. C7H7N2
+BF4
supporting information supporting information Acta Cryst. (2015). E71, o697–o698 [doi:10.1107/S2056989015016011] Acta Cryst. (2015). E71, o697–o698 [doi:10.1107/S2056989015016011] Acta Cryst. (2015). E71, o697–o698 [doi:10.1107/S2056989015016011] Acta Cryst. (2015). E71, o697–o698 Figure 1 Figure 1
Perspective view of the asymmetric unit with 50% probability ellipsoids. The C—H···F interaction is shown by a dotted Figure 1
Perspective view of the asymmetric unit with 50% probability ellipsoids. The C—H···F interaction is shown by a dotted
line. Figure 1
Perspective view of the asymmetric unit with 50% probability ellipsoids. The C—H···F interaction is shown by a dotted
line. g
Perspective view of the asymmetric unit with 50% probability ellipsoids. The C—H···F interaction is shown by a dotted
line. Figure 2
Packing viewed down the a axis showing an edge view of two corrugated layers and the C—H···F interactions (dotted
lines) holding them together. S3. Refinement The H-atoms attached to carbon were placed in calculated positions (C—H = 0.95 - 0.98 Å). All were included as riding
contributions with isotropic displacement parameters 1.2 - 1.5 times those of the attached atoms. In the late stages of the
refinement a consistent pattern of Fo2 >> Fc2 suggested twinning not yet accounted for. Use of the TwinRotMat routine in
PLATON (Spek, 2009) generated the twin law -1 0 0 0 - 1 0 0 0 1, inclusion of which enabled satisfactory refinement as a
2-component twin. sup-1 Acta Cryst. (2015). E71, o697–o698 supporting information Figure 1
Perspective view of the asymmetric unit with 50% probability ellipsoids. The C—H···F interaction is shown by a dotted
li Acta Cryst. (2015). E71, o697–o698 Figure 3 g
Packing viewed down the b axis providing a plan view of the corrugated sheets with C—H···F interactions shown as
dotted lines g
Packing viewed down the b axis providing a plan view of the corrugated sheets with C—H···F interactions shown as
dotted lines. Figure 2 Figure 2
Packing viewed down the a axis showing an edge view of two corrugated layers and the C—H···F interactions (dotted
lines) holding them together. g
Packing viewed down the a axis showing an edge view of two corrugated layers and the C—H···F interactions (dotted
lines) holding them together. sup-2 Acta Cryst. (2015). E71, o697–o698 supporting information Figure 3
Packing viewed down the b axis providing a plan view of the corrugated sheets with C—H···F interactions shown as
dotted lines. 2-Cyano-1-methylpyridinium tetrafluoroborate y
y py
Crystal data
C7H7N2+·BF4−
Mr = 205.96
Monoclinic, P21
a = 7.9704 (16) Å
b = 7.5527 (15) Å
c = 14.570 (3) Å
β = 90.312 (3)°
V = 877.1 (3) Å3
Z = 4
F(000) = 416
Dx = 1.560 Mg m−3
Mo Kα radiation, λ = 0.71073 Å
Cell parameters from 8457 reflections
θ = 2.6–29.0°
µ = 0.15 mm−1
T = 150 K
Block, colourless
0.14 × 0.13 × 0.08 mm
Data collection
Bruker SMART APEX CCD
diffractometer
Radiation source: fine-focus sealed tube
Graphite monochromator
Detector resolution: 8.3660 pixels mm-1
φ and ω scans
Absorption correction: multi-scan
(SADABS; Bruker, 2014)
Tmin = 0.70, Tmax = 0.99
16120 measured reflections
4566 independent reflections
3779 reflections with I > 2σ(I)
Rint = 0.057
θmax = 29.3°, θmin = 2.6°
h = −10→10
k = −10→10
l = −19→19
Refinement
Refinement on F2
Least-squares matrix: full
R[F2 > 2σ(F2)] = 0.050
wR(F2) = 0.122
S = 1.08
4566 reflections
256 parameters
1 restraint
Primary atom site location: structure-invariant
direct methods
Secondary atom site location: difference Fourier
map
Hydrogen site location: inferred from
neighbouring sites F(000) = 416
Dx = 1.560 Mg m−3
Mo Kα radiation, λ = 0.71073 Å
Cell parameters from 8457 reflections
θ = 2.6–29.0°
µ = 0.15 mm−1
T = 150 K
Block, colourless
0.14 × 0.13 × 0.08 mm 16120 measured reflections
4566 independent reflections
3779 reflections with I > 2σ(I)
Rint = 0.057
θmax = 29.3°, θmin = 2.6°
h = −10→10
k = −10→10
l = −19→19 Special details Experimental. The diffraction data were obtained from 3 sets of 400 frames, each of width 0.5° in ω, collected at φ =
0.00, 90.00 and 180.00° and 2 sets of 800 frames, each of width 0.45° in φ, collected at ω = -30.00 and 210.00°. The scan
time was 10 sec/frame. Geometry. All e.s.d.'s (except the e.s.d. in the dihedral angle between two l.s. planes) are estimated using the full
covariance matrix. The cell e.s.d.'s are taken into account individually in the estimation of e.s.d.'s in distances, angles and
torsion angles; correlations between e.s.d.'s in cell parameters are only used when they are defined by crystal symmetry. An approximate (isotropic) treatment of cell e.s.d.'s is used for estimating e.s.d.'s involving l.s. planes. pp
(
p )
g
g
p
Refinement. Refinement of F2 against ALL reflections. The weighted R-factor wR and goodness of fit S are based on F2,
conventional R-factors R are based on F, with F set to zero for negative F2. The threshold expression of F2 > σ(F2) is used
only for calculating R-factors(gt) etc. and is not relevant to the choice of reflections for refinement. R-factors based on F2
are statistically about twice as large as those based on F, and R- factors based on ALL data will be even larger. H-atoms
attached to carbon were placed in calculated positions (C—H = 0.95 - 0.98 Å). All were included as riding contributions
with isotropic displacement parameters 1.2 - 1.5 times those of the attached atoms. In the late stages of the refinement a
consistent pattern of Fo2 >> Fc2 suggested twinning not yet accounted for. Use of the TwinRotMat routine in PLATON
(Spek, 2009) generated the twin law -1 0 0 0 - 1 0 0 0 1, inclusion of which enabled satisfactory refinement as a 2-
component twin. Refinement 1 restraint
Primary atom site location: structure-invariant
direct methods
Secondary atom site location: difference Fourier
map
Hydrogen site location: inferred from
neighbouring sites sup-3 Acta Cryst. (2015). E71, o697–o698 H-atom parameters constrained p
w = 1/[σ2(Fo2) + (0.0572P)2 + 0.091P]
where P = (Fo2 + 2Fc2)/3
(Δ/σ)max < 0.001
Δρmax = 0.33 e Å−3 p
w = 1/[σ2(Fo2) + (0.0572P)2 + 0.091P]
where P = (Fo2 + 2Fc2)/3
(Δ/σ)max < 0.001
Δρmax = 0.33 e Å−3 supporting information Δρmin = −0.27 e Å−3
Absolute structure: The absolute structure could
not be determined with certainty in this light-
atom structure Δρmin = −0.27 e Å−3
Absolute structure: The absolute structure could
not be determined with certainty in this light-
atom structure Special details Fractional atomic coordinates and isotropic or equivalent isotropic displacement parameters (Å2)
x
y
z
Uiso*/Ueq
N1
0.7369 (5)
0.1294 (4)
0.8819 (3)
0.0220 (7)
N2
0.3067 (5)
0.0851 (7)
0.8963 (3)
0.0416 (11)
C1
0.6868 (6)
0.1642 (6)
0.7854 (3)
0.0273 (10)
H1A
0.7826
0.2126
0.7518
0.041*
H1B
0.5943
0.2497
0.7841
0.041*
H1C
0.6504
0.0534
0.7565
0.041*
C2
0.8990 (6)
0.1331 (6)
0.9067 (3)
0.0264 (9)
H2
0.9807
0.1629
0.8620
0.032*
C3
0.9511 (6)
0.0952 (7)
0.9947 (3)
0.0299 (10)
H3
1.0671
0.0973
1.0100
0.036*
C4
0.8341 (6)
0.0543 (6)
1.0601 (3)
0.0283 (10)
H4
0.8678
0.0281
1.1213
0.034*
C5
0.6652 (6)
0.0520 (6)
1.0352 (3)
0.0274 (9)
H5
0.5819
0.0254
1.0795
0.033*
C6
0.6204 (5)
0.0884 (6)
0.9464 (3)
0.0232 (8)
C7
0.4472 (6)
0.0856 (7)
0.9165 (3)
0.0295 (10)
B1
0.7236 (7)
0.6589 (6)
0.8140 (3)
0.0242 (10)
F1
0.7151 (4)
0.5195 (3)
0.8770 (2)
0.0328 (6)
F2
0.8600 (4)
0.7654 (4)
0.8350 (2)
0.0361 (7)
F3
0.5771 (3)
0.7603 (4)
0.8200 (2)
0.0389 (7)
F4
0.7353 (4)
0.5925 (4)
0.72573 (19)
0.0446 (8)
N3
0.7497 (5)
0.3325 (5)
0.3758 (2)
0.0246 (8)
N4
1.1617 (6)
0.4550 (8)
0.3990 (3)
0.0454 (12)
C8
0.8099 (6)
0.3192 (7)
0.2807 (3)
0.0316 (10) onal atomic coordinates and isotropic or equivalent isotropic displacement parameters (Å2) Fractional atomic coordinates and isotropic or equivalent isotropic displacement parameters (Å2)
x
y
z
Uiso*/Ueq sup-4 Acta Cryst. (2015). Special details E71, o697–o698 supporting information supporting information
H8A
0.9110
0.2455
0.2790
0.047*
H8B
0.8361
0.4378
0.2575
0.047*
H8C
0.7225
0.2655
0.2421
0.047*
C9
0.5886 (6)
0.2988 (6)
0.3939 (3)
0.0292 (10)
H9
0.5148
0.2630
0.3460
0.035*
C10
0.5294 (6)
0.3159 (6)
0.4825 (3)
0.0302 (10)
H10
0.4148
0.2926
0.4954
0.036*
C11
0.6365 (6)
0.3668 (7)
0.5519 (3)
0.0310 (10)
H11
0.5962
0.3775
0.6129
0.037*
C12
0.8039 (6)
0.4028 (6)
0.5327 (3)
0.0304 (10)
H12
0.8794
0.4387
0.5798
0.036*
C13
0.8566 (6)
0.3847 (6)
0.4439 (3)
0.0255 (9)
C14
1.0267 (7)
0.4226 (7)
0.4190 (3)
0.0327 (10)
B2
0.7732 (7)
0.8421 (7)
0.3142 (3)
0.0273 (10)
F5
0.8153 (4)
0.9543 (4)
0.3856 (2)
0.0435 (8)
F6
0.6889 (5)
0.6960 (4)
0.3476 (2)
0.0500 (9)
F7
0.9153 (4)
0.7890 (6)
0.2691 (2)
0.0569 (10)
F8
0.6664 (4)
0.9294 (4)
0.2535 (2)
0.0464 (8)
Atomic displacement parameters (Å2)
U11
U22
U33
U12
U13
U23
N1
0.0256 (18)
0.0142 (16)
0.0263 (17)
0.0013 (14)
0.0025 (15)
−0.0004 (14)
N2
0.029 (2)
0.059 (3)
0.038 (2)
0.004 (2)
0.0041 (18)
−0.002 (2)
C1
0.037 (3)
0.022 (2)
0.023 (2)
−0.0010 (18)
−0.0026 (18)
0.0022 (17)
C2
0.023 (2)
0.023 (2)
0.033 (2)
−0.0011 (16)
0.0046 (19)
−0.0008 (19)
C3
0.025 (2)
0.033 (2)
0.032 (2)
0.0022 (19)
−0.0025 (19)
−0.002 (2)
C4
0.031 (2)
0.029 (2)
0.025 (2)
0.0000 (18)
−0.0006 (18)
−0.0012 (18)
C5
0.031 (2)
0.024 (2)
0.027 (2)
0.0002 (18)
0.0039 (19)
−0.0005 (18)
C6
0.023 (2)
0.0174 (19)
0.029 (2)
0.0007 (16)
0.0041 (17)
−0.0020 (17)
C7
0.029 (2)
0.028 (2)
0.032 (2)
0.0002 (18)
0.0046 (19)
−0.001 (2)
B1
0.029 (2)
0.018 (2)
0.026 (2)
−0.0007 (19)
0.001 (2)
0.0018 (18)
F1
0.0440 (15)
0.0189 (12)
0.0355 (14)
−0.0006 (12)
−0.0028 (13)
0.0047 (10)
F2
0.0336 (15)
0.0254 (14)
0.0492 (17)
−0.0069 (12)
−0.0028 (13)
0.0005 (12)
F3
0.0311 (15)
0.0235 (13)
0.062 (2)
0.0040 (12)
0.0021 (14)
0.0036 (13)
F4
0.069 (2)
0.0343 (16)
0.0304 (14)
−0.0020 (16)
0.0062 (15)
−0.0067 (13)
N3
0.0326 (19)
0.0141 (15)
0.0270 (18)
0.0007 (14)
0.0007 (15)
−0.0004 (14)
N4
0.034 (2)
0.060 (3)
0.042 (2)
−0.008 (2)
0.000 (2)
0.005 (2)
C8
0.041 (3)
0.025 (2)
0.028 (2)
−0.004 (2)
0.004 (2)
0.0001 (19)
C9
0.031 (2)
0.023 (2)
0.034 (2)
−0.0023 (17)
−0.005 (2)
0.0003 (19)
C10
0.029 (2)
0.023 (2)
0.039 (3)
−0.0003 (18)
0.0034 (19)
0.005 (2)
C11
0.037 (2)
0.029 (2)
0.027 (2)
0.0017 (19)
0.001 (2)
0.0019 (19)
C12
0.034 (2)
0.026 (2)
0.032 (2)
0.000 (2)
−0.003 (2)
0.0016 (19)
C13
0.029 (2)
0.0147 (18)
0.033 (2)
0.0023 (16)
−0.0026 (19)
0.0026 (17)
C14
0.035 (3)
0.031 (2)
0.032 (2)
−0.001 (2)
−0.002 (2)
0.002 (2)
B2
0.033 (3)
0.023 (2)
0.026 (2)
−0.002 (2)
0.002 (2)
0.004 (2)
F5
0.061 (2)
0.0328 (16)
0.0363 (16)
0.0103 (14)
−0.0076 (16)
−0.0078 (13)
F6
0.072 (2)
0.0196 (14)
0.059 (2)
0.0019 (15)
0.0198 (17)
0.0098 (14) Atomic displacement parameters (Å2) sup-5 Acta Cryst. supporting information F7
0.0376 (17)
0.072 (3)
0.061 (2)
0.0042 (17
F8
0.057 (2)
0.0294 (16)
0.0522 (18)
−0.0021 (1
Geometric parameters (Å, º)
N1—C2
1.340 (6)
N3—C9
N1—C6
1.360 (6)
N3—C13
N1—C1
1.484 (6)
N3—C8
N2—C7
1.157 (6)
N4—C14
C1—H1A
0.9800
C8—H8A
C1—H1B
0.9800
C8—H8B
C1—H1C
0.9800
C8—H8C
C2—C3
1.376 (7)
C9—C10
C2—H2
0.9500
C9—H9
C3—C4
1.372 (7)
C10—C11
C3—H3
0.9500
C10—H10
C4—C5
1.392 (6)
C11—C12
C4—H4
0.9500
C11—H11
C5—C6
1.369 (6)
C12—C13
C5—H5
0.9500
C12—H12
C6—C7
1.446 (6)
C13—C14
B1—F4
1.384 (6)
B2—F7
B1—F2
1.385 (6)
B2—F6
B1—F1
1.398 (5)
B2—F5
B1—F3
1.400 (6)
B2—F8
C2—N1—C6
118.7 (4)
C9—N3—C1
C2—N1—C1
120.4 (4)
C9—N3—C8
C6—N1—C1
120.9 (4)
C13—N3—C
N1—C1—H1A
109.5
N3—C8—H8
N1—C1—H1B
109.5
N3—C8—H8
H1A—C1—H1B
109.5
H8A—C8—H
N1—C1—H1C
109.5
N3—C8—H8
H1A—C1—H1C
109.5
H8A—C8—H
H1B—C1—H1C
109.5
H8B—C8—H
N1—C2—C3
122.1 (4)
N3—C9—C1
N1—C2—H2
118.9
N3—C9—H9
C3—C2—H2
118.9
C10—C9—H
C4—C3—C2
119.5 (4)
C11—C10—C
C4—C3—H3
120.3
C11—C10—H
C2—C3—H3
120.3
C9—C10—H
C3—C4—C5
118.8 (4)
C10—C11—C
C3—C4—H4
120.6
C10—C11—H
C5—C4—H4
120.6
C12—C11—H
C6—C5—C4
119.4 (4)
C13—C12—C
C6—C5—H5
120.3
C13—C12—H
C4—C5—H5
120.3
C11—C12—H
N1—C6—C5
121.5 (4)
N3—C13—C F7
0.0376 (17)
0.072 (3)
0.061 (2)
0.0042 (17)
0.0157 (15)
−0.0251 (19)
F8
0.057 (2)
0.0294 (16)
0.0522 (18)
−0.0021 (14)
−0.0197 (17)
0.0099 (14)
Geometric parameters (Å, º)
N1—C2
1.340 (6)
N3—C9
1.336 (6)
N1—C6
1.360 (6)
N3—C13
1.362 (6)
N1—C1
1.484 (6)
N3—C8
1.473 (6)
N2—C7
1.157 (6)
N4—C14
1.143 (7)
C1—H1A
0.9800
C8—H8A
0.9800
C1—H1B
0.9800
C8—H8B
0.9800
C1—H1C
0.9800
C8—H8C
0.9800
C2—C3
1.376 (7)
C9—C10
1.382 (7)
C2—H2
0.9500
C9—H9
0.9500
C3—C4
1.372 (7)
C10—C11
1.375 (7)
C3—H3
0.9500
C10—H10
0.9500
C4—C5
1.392 (6)
C11—C12
1.392 (7)
C4—H4
0.9500
C11—H11
0.9500
C5—C6
1.369 (6)
C12—C13
1.370 (6)
C5—H5
0.9500
C12—H12
0.9500
C6—C7
1.446 (6)
C13—C14
1.434 (7)
B1—F4
1.384 (6)
B2—F7
1.372 (6)
B1—F2
1.385 (6)
B2—F6
1.382 (6)
B1—F1
1.398 (5)
B2—F5
1.382 (6)
B1—F3
1.400 (6)
B2—F8
1.391 (6)
C2—N1—C6
118.7 (4)
C9—N3—C13
120.6 (4)
C2—N1—C1
120.4 (4)
C9—N3—C8
119.4 (4)
C6—N1—C1
120.9 (4)
C13—N3—C8
119.9 (4)
N1—C1—H1A
109.5
N3—C8—H8A
109.5
N1—C1—H1B
109.5
N3—C8—H8B
109.5
H1A—C1—H1B
109.5
H8A—C8—H8B
109.5
N1—C1—H1C
109.5
N3—C8—H8C
109.5
H1A—C1—H1C
109.5
H8A—C8—H8C
109.5
H1B—C1—H1C
109.5
H8B—C8—H8C
109.5
N1—C2—C3
122.1 (4)
N3—C9—C10
119.9 (5)
N1—C2—H2
118.9
N3—C9—H9
120.0
C3—C2—H2
118.9
C10—C9—H9
120.0
C4—C3—C2
119.5 (4)
C11—C10—C9
120.0 (4)
C4—C3—H3
120.3
C11—C10—H10
120.0
C2—C3—H3
120.3
C9—C10—H10
120.0
C3—C4—C5
118.8 (4)
C10—C11—C12
119.9 (4)
C3—C4—H4
120.6
C10—C11—H11
120.0
C5—C4—H4
120.6
C12—C11—H11
120.0
C6—C5—C4
119.4 (4)
C13—C12—C11
118.0 (5)
C6—C5—H5
120.3
C13—C12—H12
121.0
C4—C5—H5
120.3
C11—C12—H12
121.0
N1—C6—C5
121.5 (4)
N3—C13—C12
121.5 (4) F7
0.0376 (17)
0.072 (3)
0.061 (2)
0.0042 (17)
0.0157 (15)
−0.0251 (19)
F8
0.057 (2)
0.0294 (16)
0.0522 (18)
−0.0021 (14)
−0.0197 (17)
0.0099 (14) sup-6 Acta Cryst. Special details (2015). E71, o697–o698 supporting information (2015). supporting information E71, o697–o698 supporting information N1—C6—C7
116.7 (4)
N3—C13—C14
117.6 (4)
C5—C6—C7
121.7 (4)
C12—C13—C14
120.9 (5)
N2—C7—C6
177.1 (5)
N4—C14—C13
179.1 (6)
F4—B1—F2
111.1 (4)
F7—B2—F6
109.9 (4)
F4—B1—F1
109.9 (4)
F7—B2—F5
110.0 (4)
F2—B1—F1
109.5 (4)
F6—B2—F5
110.0 (4)
F4—B1—F3
108.5 (4)
F7—B2—F8
109.7 (4)
F2—B1—F3
108.8 (4)
F6—B2—F8
107.8 (4)
F1—B1—F3
109.1 (4)
F5—B2—F8
109.5 (4)
C6—N1—C2—C3
0.7 (7)
C13—N3—C9—C10
−0.4 (7)
C1—N1—C2—C3
−177.6 (4)
C8—N3—C9—C10
−178.0 (4)
N1—C2—C3—C4
−0.9 (8)
N3—C9—C10—C11
−0.3 (7)
C2—C3—C4—C5
0.2 (8)
C9—C10—C11—C12
0.7 (8)
C3—C4—C5—C6
0.7 (7)
C10—C11—C12—C13
−0.3 (7)
C2—N1—C6—C5
0.2 (6)
C9—N3—C13—C12
0.7 (7)
C1—N1—C6—C5
178.5 (4)
C8—N3—C13—C12
178.4 (4)
C2—N1—C6—C7
−179.9 (4)
C9—N3—C13—C14
−178.6 (4)
C1—N1—C6—C7
−1.6 (6)
C8—N3—C13—C14
−0.9 (7)
C4—C5—C6—N1
−0.9 (7)
C11—C12—C13—N3
−0.3 (7)
C4—C5—C6—C7
179.2 (5)
C11—C12—C13—C14
178.9 (5)
Hydrogen-bond geometry (Å, º)
D—H···A
D—H
H···A
D···A
D—H···A
C1—H1A···F7i
0.98
2.50
3.407 (6)
154
C1—H1B···F8ii
0.98
2.54
3.498 (6)
166
C1—H1C···F3iii
0.98
2.47
3.214 (5)
132
C2—H2···F7i
0.95
2.29
3.190 (5)
157
C3—H3···F1iv
0.95
2.46
3.294 (6)
147
C5—H5···F1v
0.95
2.45
3.306 (5)
149
C8—H8A···F2i
0.98
2.48
3.159 (6)
126
C8—H8C···F3ii
0.98
2.55
3.437 (6)
151
C9—H9···F3ii
0.95
2.52
3.392 (6)
152
C9—H9···F4ii
0.95
2.59
3.476 (6)
156
C10—H10···F6ii
0.95
2.54
3.167 (6)
123
C12—H12···F5i
0.95
2.49
3.277 (6)
141
S mmetr codes: (i)
+2
1/2
+1; (ii)
+1
1/2
+1; (iii)
1
; (i )
+2
1/2
+2; ( )
+1
1/2
+2 N1—C6—C7
116.7 (4)
N3—C13—C14
117.6 (4)
C5—C6—C7
121.7 (4)
C12—C13—C14
120.9 (5)
N2—C7—C6
177.1 (5)
N4—C14—C13
179.1 (6)
F4—B1—F2
111.1 (4)
F7—B2—F6
109.9 (4)
F4—B1—F1
109.9 (4)
F7—B2—F5
110.0 (4)
F2—B1—F1
109.5 (4)
F6—B2—F5
110.0 (4)
F4—B1—F3
108.5 (4)
F7—B2—F8
109.7 (4)
F2—B1—F3
108.8 (4)
F6—B2—F8
107.8 (4)
F1—B1—F3
109.1 (4)
F5—B2—F8
109.5 (4)
C6—N1—C2—C3
0.7 (7)
C13—N3—C9—C10
−0.4 (7)
C1—N1—C2—C3
−177.6 (4)
C8—N3—C9—C10
−178.0 (4)
N1—C2—C3—C4
−0.9 (8)
N3—C9—C10—C11
−0.3 (7)
C2—C3—C4—C5
0.2 (8)
C9—C10—C11—C12
0.7 (8)
C3—C4—C5—C6
0.7 (7)
C10—C11—C12—C13
−0.3 (7)
C2—N1—C6—C5
0.2 (6)
C9—N3—C13—C12
0.7 (7)
C1—N1—C6—C5
178.5 (4)
C8—N3—C13—C12
178.4 (4)
C2—N1—C6—C7
−179.9 (4)
C9—N3—C13—C14
−178.6 (4)
C1—N1—C6—C7
−1.6 (6)
C8—N3—C13—C14
−0.9 (7)
C4—C5—C6—N1
−0.9 (7)
C11—C12—C13—N3
−0.3 (7)
C4—C5—C6—C7
179.2 (5)
C11—C12—C13—C14
178.9 (5) Hydrogen-bond geometry (Å, º) Hydrogen-bond geometry (Å, º)
D—H···A
D—H
H···A
D···A
D—H···A
C1—H1A···F7i
0.98
2.50
3.407 (6)
154
C1—H1B···F8ii
0.98
2.54
3.498 (6)
166
C1—H1C···F3iii
0.98
2.47
3.214 (5)
132
C2—H2···F7i
0.95
2.29
3.190 (5)
157
C3—H3···F1iv
0.95
2.46
3.294 (6)
147
C5—H5···F1v
0.95
2.45
3.306 (5)
149
C8—H8A···F2i
0.98
2.48
3.159 (6)
126
C8—H8C···F3ii
0.98
2.55
3.437 (6)
151
C9—H9···F3ii
0.95
2.52
3.392 (6)
152
C9—H9···F4ii
0.95
2.59
3.476 (6)
156
C10—H10···F6ii
0.95
2.54
3.167 (6)
123
C12—H12···F5i
0.95
2.49
3.277 (6)
141 sup-7 Acta Cryst. Symmetry codes: (i) −x+2, y−1/2, −z+1; (ii) −x+1, y−1/2, −z+1; (iii) x, y−1, z; (iv) −x+2, y−1/2, −z+2; (v) −x+1, y−1/2, −z+2. Acta Cryst. (2015). E71, o697–o698 Symmetry codes: (i) −x+2, y−1/2, −z+1; (ii) −x+1, y−1/2, −z+1; (iii) x, y−1, z; (iv) −x+2, y−1/2, −z+2; (v) −x+1, y−1/2, −z+2. supporting information (2015). E71, o697–o698
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https://digital.csic.es/bitstream/10261/245151/1/Prognostic_Gonzalez_PV_Art2018.pdf
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English
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Prognostic stratification of adult primary glioblastoma multiforme patients based on their tumor gene amplification profiles
|
Oncotarget
| 2,018
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cc-by
| 11,412
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Prognostic
stratification
of
adult
primary
glioblastoma
multiforme patients based on their tumor gene amplification
profiles María González-Tablas1, Inês Crespo2,3, Ana Luísa Vital2,3, Álvaro Otero4, Ana
Belén Nieto5, Pablo Sousa4, María Carmen Patino-Alonso5, Luis Antonio Corchete6,
Hermínio Tão7, Olinda Rebelo8, Marcos Barbosa7,9, Maria Rosário Almeida2, Ana
Filipa Guedes2, María Celeste Lopes2,3, Pim J. French10, Alberto Orfao1,11,* and María
Dolores Tabernero1,11,* 1Centre for Cancer Research (CIC IBMCC-CSIC/USAL), Department of Medicine, CIBERONC, University of Salamanca,
Salamanca, Spain for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal 2Centre for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal 3Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal 6Departamento de Hematología, Hospital Universitario, IBSAL, IBMCC (USAL-CSIC), Salamanca, Spain Neurosurgery Service, University Hospital of Coimbra, Coimbra, Portugal Neuropathology Laboratory, Neurology Service, University Hospital of Coimbra, Coimbra, Portugal 9Faculty of Medicine, University of Coimbra, Coimbra, Portugal
10 0Department of Neurology, Erasmus MC, Rotterdam, The Netherlands 11Instituto Biosanitario de Salamanca (IBSAL), Salamanca, Spain
*Both authors have equally contributed to this work and should be considered as last authors 11Instituto Biosanitario de Salamanca (IBSAL), Salamanca, Spain 1Instituto Biosanitario de Salamanca (IBSAL), Salamanca, Spain Both authors have equally contributed to this work and should be considered as last authors Correspondence to: María Dolores Tabernero, email: taberner@usal.es
Keywords: glioblastoma; classification; subtypes; gene amplification; survival
Received: February 28, 2018 Accepted: May 14, 2018 Published: June 15, 2018 Correspondence to: María Dolores Tabernero, email: taberner@usal.es Correspondence to: María Dolores Tabernero, email: taberner@usal.es
Keywords: glioblastoma; classification; subtypes; gene amplification; survival Keywords: glioblastoma; classification; subtypes; gene amplification; survival Received: February 28, 2018 Accepted: May 14, 2018 Published: June 15, 2018 Copyright: González-Tablas et al. This is an open-access article distributed under the terms of the Creative Commons Attribution
License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author
and source are credited. Copyright: González-Tablas et al. This is an open-access article distributed under the terms of the Creative Commons Attribution
License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author
and source are credited. Oncotarget, 2018, Vol. 9, (No. 46), pp: 28083-28102 Oncotarget, 2018, Vol. 9, (No. 46), pp: 28083-28102 www.oncotarget.com www.oncotarget.com Prognostic
stratification
of
adult
primary
glioblastoma
multiforme patients based on their tumor gene amplification
profiles
p INTRODUCTION into classical and non-classical GBM, based on gene
expression profiling (GEP) data, was first proposed
[27]. Later on, Phillips et al [13] defined three molecular
subtypes of GBM according to a combination of GEP
data and numerical alterations of chromosomes 7 and
10: proneural, proliferative and mesenchymal GBM. This classification was subsequently redefined by the
Cancer Genome Atlas Consortium (TCGA) [14] into
four subtypes – proneural, proliferative, mesenchymal
and neural GBM, using a combination of GEP data and
CNA, together with the pattern of somatic mutations. Despite overlapping data is used in the later two
classifications, both approaches are not equivalent, at
the same time they are rather complex to be reproducibly
applied in routine laboratory diagnostics. In addition,
the prognostic impact of both approaches remains
controversial because e.g. the proneural subgroup
of Philips [13] has a longer survival, while proneural
tumors defined according to the TCGA classification
[14], have a poorer outcome. In turn, despite EGFR
amplification is a defining event for the classical
subtype of GBM, in the TCGA classification it appears
in >95% of the neural and mesenchymal tumor subtypes,
but also in 54% of the proneural subtype; similarly, the
same EGFR mutations (e.g. the EGFRvIII variant) can
also be detected across all above subtypes of GBM; in
addition, neither the criteria used to define the proneural
class based on focal amplification of the 4q12 locus
harboring the PDGFRA gene (with or without EGFR
amplification), nor the evaluation of the expression of
the NEFL, GABRA1, SYT1 and SLC12A5 genes, are
currently applied for routine diagnostic classification
of GBM. Altogether this hampers fast and reproducible
risk-stratification of GBM patients at diagnosis, based
on this classification. Primary glioblastoma multiforme (GBM) is the
most common and malignant subtype of glial tumors
[1]. From the clinical and biological point of view,
GBM includes a rather heterogeneous group of tumors
that vary by site of origin, histophatological features,
tumor microenvironment [2] and genetics [3]. They are
usually resistant to radio/chemotherapy and show overall
survival (OS) rates of a few months to years, making them
unvariably lethal [4, 5]. Criteria used for the histological
classification and grading of GBM have been recently
revised in the 4th World Health Organization (WHO)
classification of GBM [1]; however, this classification still
fails in distinguishing subgroups (or variants) of primary
GBM that display clearly distinct clinical and biological
behaviours, despite sharing similar histopathological
features [6–9]. ABSTRACT Several classification systems have been proposed to address genomic
heterogeneity of glioblastoma multiforme, but they either showed limited prognostic
value and/or are difficult to implement in routine diagnostics. Here we propose a
prognostic stratification model for these primary tumors based on tumor gene
amplification profiles, that might be easily implemented in routine diagnostics, and
potentially improve the patients management. Gene amplification profiles were
prospectively evaluated in 80 primary glioblastoma multiforme tumors using single-
nucleotide polymorphism arrays and the results obtained validated in publicly available
data from 267/347 cases. Gene amplification was detected in 45% of patients, and
chromosome 7p11.2 including the EGFR gene, was the most frequently amplified
chromosomal region – either alone (18%) or in combination with amplification of
DNA sequences in other chromosomal regions (10% of cases). Other frequently
amplified DNA sequences included regions in chromosomes 12q(10%), 4q12(7%) and
1q32.1(4%). Based on their gene amplification profiles, glioblastomas were subdivided
into: i) tumors with no gene amplification (55%); ii) tumors with chromosome
7p/EGFR gene amplification (with or without amplification of other chromosomal www.oncotarget.com Oncotarget 28083 regions) (38%); and iii) glioblastoma multiforme with a single (11%) or multiple
(6%) amplified DNA sequences in chromosomal regions other than chromosome 7p. From the prognostic point of view, these amplification profiles showed a significant
impact on overall survival of glioblastoma multiforme patients (p>0.001). Based on
these gene amplification profiles, a risk-stratification scoring system was built for
prognostic stratification of glioblastoma which might be easily implemented in routine
diagnostics, and potentially contribute to improved patient management. regions) (38%); and iii) glioblastoma multiforme with a single (11%) or multiple
(6%) amplified DNA sequences in chromosomal regions other than chromosome 7p. From the prognostic point of view, these amplification profiles showed a significant
impact on overall survival of glioblastoma multiforme patients (p>0.001). Based on
these gene amplification profiles, a risk-stratification scoring system was built for
prognostic stratification of glioblastoma which might be easily implemented in routine
diagnostics, and potentially contribute to improved patient management. Gene amplification profiles and chromosomal
regions involved in GBM SNP-arrays showed CNA containing > 7 DNA
copies of the same DNA sequence for ≥1 chromosome/
chromosomal region in all (80/80) cases analyzed from
series 1. In the majority of patients (45/80; 56%) such
CNA involved genetic amplification of DNA sequences
from ≥1 chromosomal region (Table 1 and Figure 1). As expected, DNA sequences at chromosome 7p11.2
containing the EGFR gene, were the most frequently
amplified sequences (30/80 cases; 38%), followed by
DNA sequences at the 12q (14/80; (18%), 4q (8/80; 10%)
and 1q (5/80; 6%) chromosomal regions. Amplification of DNA sequences at chromosome
7p11.2 was found either alone (17/80; 21%) or in
combination with amplification of DNA sequences at
other regions in chromosomes 1q, 4q, 5q, 6q, 11p, 11q,
12q, 17p and 17q (13/80; 16% of cases) (Table 1). The
most frequent combination of simultaneously amplified
DNA sequences at chromosomal regions involving 7p11.2
were those of 7p and 12q (7/80 cases; 9%) and of 7p and
11p (2/80 cases; 3%) (Table 1). Isolated amplification of DNA sequences at
chromosomal regions other than 7p11.2 was found in
10/80 cases (13%); this included isolated amplification of
4q12 (where the PDGFRA gene is coded) in 4/80 cases
(5%), 12q14.1 (where the CDK4 gene is coded) in 3/80
cases (4%), 1q32.1 (this chromosomal region contains the
MDM4 gene) in another 2/80 tumors (3%) and 16q in one
tumor (1%) without any annotated gene being coded in
the amplified DNA sequences from this later chromosomal
region (Table 1). RESULTS were also cases with polyploidies in the absence of gene
amplification and vice versa. p
Tumors with isolated amplification of DNA
sequences at a single chromosomal region had a median
of 9 genes involved (range: 1 to 40 genes). Gene
amplification at 7p11.2 included the smallest number
of affected genes (median: 5 vs 16 genes for gene
amplification involving DNA sequences at chromosomes
12q, 1q and 4q). In turn, cases showing amplified
DNA sequences at several chromosomal regions had
a median of 19 genes involved (range: 1 to 45 genes). The most commonly (>5% of cases) amplified genes per
chromosomal region included: i) 9 genes at chromosome
1q32.1 (SOX13, ETNK2, REN, KISS1, GOLT1A,
PLEKHA6, PIK3C2B, MDM4 and LRRN2); ii) 4 genes at
chromosome 4q12 (SCFD2, FIP1L1, PDGFRA and KIT);
iii) 5 genes in chromosome 7p11.2 (EGFR, LANCL2,
VSTM2A, VOPP1 and SEC61G), and; iv) multiple genes
at chromosome 12 which had 3 cytobands involved, i.e. 12q14.1 (CDK4, METTL1, CYP27B1, AVIL, CTDSP2,
METT21B, AGAP2, OS9, TSFM), 12q13.3 (B4GALNT1,
KIF5A, PIP4K2C, DTX3, SLC26A10, MARS, DCTN2,
ARHGEF25) and 12q15 (ATP23, MDM2, CPM) (Table
3). When individually considered, the EGFR gene (38%)
together with the LANCL2 gene (23%), coded also at
chromosome 7p11.2, were the two most frequently
amplified genes (Table 3). Of note, amplification of none
of the genes detected here had been previously described
in healthy individuals [33] and/or publicly available GBM
databases. INTRODUCTION Besides histopathology, molecular genetics data
has also confirmed the high heterogeneity of GBM,
both at the intertumoral and intratumoral levels [3, 10–
12]; in addition, molecular genetics data also proved
useful for improving the diagnosis, classification, and
prognostic stratification of GBM [13, 14], with therapeutic
implications [14–16]. However, despite all advances
achieved via the study of the methylation status, gene
mutations (e.g. IDH1 or PT53 genes) [17] and affected
oncogenic pathways [11, 18–20], the precise mechanisms
involved in the pathogenesis of GBM still remain far from
being fully understood. In turn, routine implementation
of molecular genetics into the diagnostic classification of
GBM still remains limited, due to the complexity of the
genetic findings involved. Among other genetic abnormalities, the copy
number aberration (CNA) profile of tumor cells, over
the copy number variation (CNV) of individual patients,
has been recognized [21–24] as a useful prognostic tool
in GBM [14]. Thus, some copy number aberrations
involving one or multiple genes that affect a significant
fraction of the tumors, (e.g. CNA associated with either
gains of chromosome 7 and/or amplification of the
epidermal growth factor receptor (EGFR) gene [18],
and losses of DNA sequences in chromosome 10 [19],
together with other less frequent alterations involving
DNA sequences in chromosomes 12q13-15 [25], 4q and
1q [26], have all been associated with the outcome of
GBM patients. Despite this, risk stratification of GBM Here we investigated the gene amplification
profiles (GAP) across the whole tumor genome of a
series of 80 GBM tumors, as detected by high-density
single-nucleotide polymorphism (SNP)-arrays, and
evaluated their impact on overall survival (OS) of GBM
patients. Based on the results obtained, a GAP-based risk-
stratification model was built and validated in a series of
267 GBM tumors from a total of 7 GBM series publicly
available at the GEO and ArrayExpress databases and/or
whose data was kindly provided by the authors [15, 24,
28–32], in addition to our own cases. www.oncotarget.com Oncotarget 28084 Classification of GBM tumors based on their
gene amplification profiles (GAP) Based on the presence of gene amplification, their
specific subtype and the number of chromosomal regions
affected by gene amplification (Figure 1), GBM tumors
from group 1 (series 1) were divided into five different
subgroups: i) tumors which had no gene amplification
(n=35; 44%); ii) tumors with isolated amplification of
DNA sequences at chromosome 7p including the EGFR
gene (n=17; 21%); iii) GBM with isolated amplification
of DNA sequences at a chromosomal region different
from chromosome 7p (n=10; 13%); iv) tumors with
amplifications of DNA sequences from multiple (≥2)
chromosomal regions including that of the EGFR gene
(n=13; 16%), and; v) tumors with amplification of DNA
sequences at ≥2 chromosomal regions which did not
include amplification of the EGFR gene (n=5; 6%) (Table
4 and Figure 2). In turn, genetic amplification at 12q was detected
in 14/80 cases (18%) including isolated amplification in
3 GBM and combined 12q gene amplification with gene
amplification at other chromosome regions (1p, 1q, 4q,
11p, 11q, 7q, or 17q) in 11 tumors (Table 1), including
amplification at chromosome 7p in 7 cases (9%). Gene
amplification at 4q was found in 8/80 cases (10%) either
alone (4/80; 5% or in association with amplification
of DNA sequences at the 12q and/or 7p (4/80; 5%)
chromosomal regions (Table 1). Overall, coexistence of genetically amplified DNA
sequences at ≥ 2 chromosomal regions in the same tumor
(median of 2 altered chromosomal regions; range: 2-4
regions) was found in 18 cases (23%). In 13 of these 18
tumors, the EGFR gene was involved (Table 1). Of note,
gene amplification involving regions at chromosomes
7q (4%), 11p (3%), 17q (3%), 5q (1%), 6q (1%), 11q
(1%) and 17p (1%) included variable chromosomal
patterns and numbers of genes involved (Table 1 and
Table 2). Although gene amplification was frequently
associated with chromosomal gains (polyploidy), there The above GAP were further investigated in the other
7 series of GBM used for validation purposes, for a total of
267 primary GBM patients (Table 4). Classification of GBM tumors based on their
gene amplification profiles (GAP) Around half of these
cases ˗156/267 (58%)˗ did not show genetic amplification
at any of the chromosomal regions investigated (Table 4);
in contrast, 69 (26%) tumors had gene amplification at www.oncotarget.com Oncotarget 28085 Table 1: Major subsets of GBM that carried different gene amplification profiles, as identified in our series (series
1) of GBM patients (n=80) grouped according to the location, type and number of chromosomal regions involved
(n=45/80 tumors)
Tumor group
Tumor ID
Amplified chromosome(s)
N. of amplified
chromosomal
band(s)/genes
Amplified Chromosomal bands
Gene amplification at a
single chromosomal region
(n=27)
EGFR gene involved
(n=17;21%)
G94
7p
2/4
7p11.2/7p12.1#
G55
2/2
G91
1/2
7p11.2
G80
1/3
G72
1/2
G68
1/2
G67
1/1
G56
1/2
G44ϑ
1/3
G40ϑ
1/3
G37ϑ
1/2
G30ϑ
1/1
GBM3ϑ
1/17
GBM7ϑ
1/3
GBM11ϑ
1/7
GBM12ϑ
1/25
GBM17ϑ
1/2
EGFR gene not
involved (n=10;13%)
G73
4q
3/35
4q11/4q12/4q13.3
G12
1/29
4q11#/4q12
GBM1ϑ
1/16
4q12
GBM14ϑ
1/7
4q12
G51ϑ
12q
2/14
12q13.3/12q14.1
G46ϑ
2/5
12q14.1-q14.3/12q15
G25ϑ
1/8
12q14.1
G79
1q
1/12
1q32.1
G54
1/18
G10
16q#
1/0
16q12.1-q12.2
Gene amplification at
multiple
chromosomal
regions
(n=18)
EGFR gene & other
amplicons involved
(n=13;16%)
G39ϑ
7p, 12q
1/2, 2/9
7p11.2/12q13.3/12q14.1
G41
1/4, 2/11
7p11.2/12q14/12q15
G53ϑ
3/6, 1/2
7p11.2/7p21.3/7p22.1/12q15
G70
1/1, 2/20
7p11.2/12q13.3/12q14.1
G83
1q, 7p
1/16, 1/1
1q32.1/7p11.2
G65
1/26, 1/12
GBM19ϑ
7p, 7q
4/5
7p21/7p12.3/7p11.2/7q22.3
G23ϑ
7p, 11p
1/2, 1/17
7p11.2/11p13
GBM4ϑ
1q,7p,12q
1/18, 1/6, 2/11
1q32.1/7p11.2/12q13.3/12q14.1
G82
4q, 7p, 12q
2/6, 1/1, 3/23
4q12/4q13.3/7p11.2/12q13.12-
q13.13/12q13.3/12q14.1/12q15
G90
5q#, 6q#, 7p
1/1
5q34/6q25/7p11.2
G81
7p, 17p, 17q
1/2, 2/11
7p11.2/17p13.1/17q25.1
G71
7p, 11p, 11q, 12q
2/5, 3/16, 2/19
7p11.2/7p12.1/11p15.3/11p11.2#/
11q13.3/11q25/12q13.3/12q14.1 Table 1: Major subsets of GBM that carried different gene amplification profiles, as identified in our series (series
1) of GBM patients (n=80) grouped according to the location, type and number of chromosomal regions involved
(n=45/80 tumors) Table 1: Major subsets of GBM that carried different gene amplification profiles, as identified in our series (series
1) of GBM patients (n=80) grouped according to the location, type and number of chromosomal regions involved
(n=45/80 tumors) (Continued ) www.oncotarget.com www.oncotarget.com Oncotarget 28086 Tumor group
Tumor ID
Amplified chromosome(s)
N. of amplified
chromosomal
band(s)/genes
Amplified Chromosomal bands
EGFR gene
not involved
(n=5;6%)
GBM13ϑ
4q, 12q
1/7, 1/11
4q12/12q14.1
GBM22ϑ
1/19, 2/20
4q12/12q13.3/12q14.1
G08ϑ
1p, 7q
3/30, 1/7
1p12/1p13/1p21/7q21.2-q21.3
G88
4q, 7q, 12q
2/13, 1/3, 4/30
4q12/4q13.3/7q31.2/12q13.3/12q14.1/12q1
5/12q21.1
G89
1p, 12q, 17q
1/3, 2/21, 3/6
1p36.21/12q13.3/12q14.1/17q11/17q12#/17q2
1/17q22#/17q24
ID: Case identification code. Classification of GBM tumors based on their
gene amplification profiles (GAP) Most frequently involved genes per chromosomal band included: 1q32.1, MDM4; 4q12, PDGFRA; 12q14.1, CDK4; 12q15, MDM2; 7q31.2,MET. #:
Amplified chromosomal region without any annotated gene in it; ϑ: EGFR gene mutation studied in this sample. ID: Case identification code. Most frequently involved genes per chromosomal band included: 1q32.1, MDM4; 4q12, PDGFRA; 12q14.1, CDK4; 12q15, MDM2; 7q31.2,MET. #:
Amplified chromosomal region without any annotated gene in it; ϑ: EGFR gene mutation studied in this sample. GBM patients, both in the test series (series 1) alone
(p<0.001; Figure 3A), and in the whole cohort (series 1-8;
p<0.001) (Figure 3C). In detail, cases that did not show
gene amplification or that displayed amplification of the
EGFR gene (alone or in combination with amplification of
genes in other chromosomal regions) (groups 1, 2, and 4,
respectively) showed a significantly better outcome than
patients with isolated amplification of genes other than
the EGFR gene (group 3) and cases with amplification
of multiple chromosomal regions which did not involve
the EGFR region (group 5): median OS of 14, 18 and 14
months vs 6 (p=0.001, p<0.001 and p=0.007, respectively)
and 8 months (p=0.03, p<0.001 and p=0.003, respectively)
in the test series alone, and of 14, 18 and 14 months vs
8 (p=0.03, p=0.003 and p=0.16, respectively) and 8
(p<0.001, p<0.001 and p=0.001, respectively) months in
the whole cohort, respectively (Figure 3, panels A and C,
respectively). When cases were re-grouped according to
i) the absence of gene amplification or presence of EGFR
gene amplification vs ii) occurrence of other GAP, the
prognostic impact of the re-grouped GAP was enhanced,
both when the test series alone and the whole cohort of
patients analyzed, were considered: median OS rates of 15
vs 6 months (p< 0.001) and of 15 vs 8 months (p<0.001),
respectively (Figure 3 panels B and D, respectively). Subsequent multivariate analysis of prognostic factors
showed that the tumor GAP (p<0.001), together with the
administration of chemotherapy (p<0.001) were the best
combination of independent prognostic factors to predict
patient OS (Table 5). chromosome 7p11.2 amplification –46/267 cases (17%) with
isolated EGFR amplification and 23/267 cases (9%) showed
amplification of DNA sequences at multiple chromosomal
regions including amplification of the EGFR gene– (Table
2 and Table 4). DISCUSSION Despite histopathology remains the gold standard
for the diagnosis of GBM, it provides limited information
about patient outcome. Consequently, new classifications
have been proposed in recent years for GBM in which
molecular genetics data derived from chromosomal
alteration profiles, DNA mutational status and GEP
data, is used for the definition of tumor subgroups of Classification of GBM tumors based on their
gene amplification profiles (GAP) Similarly to what was observed in the test
series, gene amplification at 7p, in association with gene
amplification at chromosome 12q, was found in 6 tumors
(2%) and gene amplification at chromosome 7p together
with amplification of DNA sequences at chromosomal
regions other than 12q was found in another 17 cases (6%),
–e.g. gene amplification at the 1q or 4q chromosomal
regions in 3/267 (1.1%) and 4/267 (1.5%) cases,
respectively, and at 7q or 3q in 3/267 (1.1%) and 2/267
(0.8%) tumors, respectively – (Table 2). DNA sequences
from other chromosomal regions which were also found to
be amplified at lower frequencies than those amplified at 7p,
included DNA sequences at chromosomes 12q (10/267; 4%)
and 4q (6/267; 2%) (Table 2). Genetic amplification at other
chromosomal regions such as 7q, 12p and 13q was found in
two tumors each, and gene amplification at the 6p, 8q, 15q
and 17q chromosomal regions was found in a single tumor
each (Table 2). Upon merging the test and validation series (series
1 to 8), the following distribution into the 5 subgroups of
GBM defined by their distinct GAP (Table 4), was found:
191 cases (55%) had no gene amplification (group 1),
63/347 cases (18%) showed isolated amplification of EGFR)
(group 2); 37/347 (11%) displayed isolated amplification of
genes other than EGFR (group 3); 36/347 (10%) had genetic
amplification at multiple chromosomal regions, including
amplification of the EGFR gene (group 4); and 20/347 (6%)
showed multiple amplified DNA sequences at ≥ 2 distinct
chromosomal regions, which did not include amplification
of the EGFR gene (group 5) (Table 4). Prognostic impact of gene amplification profiles
in GBM From the prognostic point of view, the above
defined GAP showed a significant impact on OS of www.oncotarget.com Oncotarget 28087 trating examples of the cytogenetic profiles representative of the distinct patterns of gene amplifi
rom series 1, used for the definition of the 5 different subgroups of GBM based on their gene am Figure 1: Illustrating examples of the cytogenetic profiles representative of the distinct patterns of gene amplification identified in
GBM tumors from series 1, used for the definition of the 5 different subgroups of GBM based on their gene amplification profiles. www.oncotarget.com Oncotarget 28088 t
t
Table 2: Frequency of genetic amplification involving different chromosomal regions in the test (series 1) vs the
validation series (series 2-8) of GBM patients analyzed
Number of amplified regions
Chromosomal regions involved
Amplified GBM cases
Series 1
n=45/80 (56%)
Series 2-8
n=111/267 (42%)
One
chromosomal region amplified
(n=100; 29%)
7p
12q
4q
1q
12p
7q
13q
6p
8q
15q
16q
17q
17 (21%)
3 (4%)
4 (5%)
2 (3%)
(0)
(0)
(0)
(0)
(0)
(0)
1(1.2%)
(0)
46(17%)
10 (4%)
6 (2%)
1 (0.4%)
2 (0.8%)
2 (0.8%)
2 (0.8%)
1 (0.4%)
1 (0.4%)
1 (0.4%)
(0)
1 (0.4%)
Subtotal
27 (34%)
73 (27%)
Two
chromosomal regions amplified
(n=39; 11%)
7p,12q
1q,7p
1q,4q
7p,7q
3q,7p
4q,7p
4q,12q
1q,5p
1p7q
2q,12q
4q,9p
5p,7p
5q,7p
7p,11p
7p,9p
7p,14q
7p, Xp
17q,20q
20p,20q
4 (5%)
2 (3%)
(0)
1 (1.2%)
(0)
(0)
2 (3%)
(0)
1 (1.2%)
(0)
(0)
(0)
(0)
1 (1.2%)
(0)
(0)
(0)
(0)
(0)
4 (1%)
3 (1%)
3 (1%)
2 (0.8%)
2 (0.8%)
2 (0.8%)
2 (0.8%)
1 (0.4%)
(0)
1 (0.4%)
1 (0.4%)
1 (0.4%)
1 (0.4%)
(0)
1 (0.4%)
1 (0.4%)
1 (0.4%)
1 (0.4%)
1 (0.4%)
Subtotal
11 (14%)
28 (10%)
≥Three
chromosomal regions amplified
(n=17; 5%)
1p,1q,10q
1p,7p,12q
1p,12q,17q
1q,7p,12q
4p,4q,12p
4q,7p,12q
4q,7q,12p
4q7q12q
4q,7p,18q
5q,6q,7p
6p,7q,12q
7p,17p,17q
2p,7p,12p,12q
4q,7p,7q,15q
7p11p11q12q
7q,12q,17q,20q
1p,4p,7p,11q,14q
(0)
(0)
1 (1.2%)
1 (1.2%)
(0)
1 (1.2%)
(0)
1 (1.2%)
(0)
1 (1.2%)
(0)
1 (1.2%)
(0)
(0)
1 (1.2%)
(0)
(0)
1 (0.4%)
1 (0.4%)
(0)
(0)
1 (0.4%)
(0)
1 (0.4%)
(0)
1 (0.4%)
(0)
1 (0.4%)
(0)
1 (0.4%)
1 (0.4%)
(0)
1 (0.4%)
1 (0.4%)
Subtotal
7 (9%)
10 (4%)
Results expressed as number (percentage) of cases showing gene amplification/chromosome arm. cytobands was calculated using only the 250k-SNP_Nsp and/or STY arrays (n=50) due to the absence of probes for these
specific genes in the 50k array. he SNP6 array; *The incidence of amplified genes localized in the 12q14.1, 12q13.3 and 12q15 #genes included in the SNP6 array; *The incidence of amplified genes localized in the 12q14.1, 12q13.3 and 12q15
cytobands was calculated using only the 250k-SNP_Nsp and/or STY arrays (n=50) due to the absence of probes for these
specific genes in the 50k array. sing only the 250k-SNP_Nsp and/or STY arrays (n=50) due to the absence of probes for these
ray Prognostic impact of gene amplification profiles
in GBM Table 2: Frequency of genetic amplification involving different chromosomal regions in the test (series 1) vs the
validation series (series 2-8) of GBM patients analyzed Results expressed as number (percentage) of cases showing gene amplification/chromosome arm. www.oncotarget.com Oncotarget 28089 Table 3: Frequency and chromosomal localization of recurrently amplified genes (> 5% of cases) in GBM from
series 1 (n=45/80 tumors), and other previously reported series of GBM (n=111/267 tumors) as detected by SNP-
arrays
Amplified genes
Amplified chromosomal regions
Symbol
Frequency of gene
amplification
Chr
Amplified/Total cases
(%)
Cytoband
Series 1
(n=45)
Series 2-8
(n=111)
Chr 7
119/347
(34%)
7p11.2
EGFR
LANCL2
VSTM2A
VOPP1
SEC61G
67%
40%
31%
27%
11%
57%
19%
29%
7%
19%
Chr 12
34/347
(10%)
12q14.1
CDK4
CYP27B1
METTL1
AVIL
CTDSP2
METT21B
AGAP2
OS9
TSFM
29%
29%
27%
27%
27%
22%
22%
16%
16%
14%*
2%*
14%*
18%*
2%*
16%*
16%*
2%*
-
12q13.3
B4GALNT1
KIF5A
PIP4K2C
SLC26A10#
DTX3
MARS
ARHGEF25
DCTN2#
16%
11%
11%
11%
9%
9%
9%
7%
14%*
10%*
-
-
12%*
4%*
4%*
-
12q15
ATP23
MDM2
CPM
16%
9%
9%
14%*
12%
11%
Chr 4
26/347
(7%)
4q12
SCFD2
FIP1L1
PDGFRA
KIT
18%
18%
18%
7%
7%
14%
10%
10%
Chr 1
14/347
(4%)
1q32.1
SOX13
ETNK2
REN
KISS1
GOLT1A
PLEKHA6
PIK3C2B
MDM4
LRRN2
11%
11%
11%
11%
11%
11%
11%
11%
9%
5%
3%
2%
3%
3%
5%
5%
3%
2%
#genes included in the SNP6 array; *The incidence of amplified genes localized in the 12q14.1, 12q13.3 and 12q15
cytobands was calculated using only the 250k-SNP Nsp and/or STY arrays (n=50) due to the absence of probes for these Table 3: Frequency and chromosomal localization of recurrently amplified genes (> 5% of cases) in GBM from
series 1 (n=45/80 tumors), and other previously reported series of GBM (n=111/267 tumors) as detected by SNP-
arrays Chr 12 #genes included in the SNP6 array; *The incidence of amplified genes localized in the 12q14.1, 12q13.3 and 12q15
cytobands was calculated using only the 250k-SNP_Nsp and/or STY arrays (n=50) due to the absence of probes for these
specific genes in the 50k array. #genes included in the SNP6 array; *The incidence of amplified genes localized in the 12q14.1, 12q13.3 and 12q15
cytobands was calculated using only the 250k-SNP_Nsp and/or STY arrays (n=50) due to the absence of probes for these
specific genes in the 50k array. Prognostic impact of gene amplification profiles
in GBM www.oncotarget.com www.oncotarget.com Oncotarget 28090 Table 4: Overall survival and genetic features of GBM patients from our series (series 1; n=80) and the seven series
of GBM patients previously reported in the literature (series 2-8; n=267) and included in this study for a total of 347
GBM investigated
Variables
GBM patient series
Series 1
Crespo
et al.*
(GSE
42631)
Series 2
Chen et
al. (GSE
19612)
Series 3
Beroukhim
et al. (GSE19399/
GSE9635)
Series 4
Bralten
et al. NA
Series 5
Hodgson
et al. (GSE
14804)
Series 6
Yin et al. (EMEXP-1330)
Series 7
Kuga et
al. (GSE
10922)
Series 8
Solomon
et al. (GSE
13021)
Total N. of cases
(n=347)
80
24
120
15
12
53
13
30
N. of cases with
annotated OS
(n=273)
80
24
104
15
NA
50
NA
NA
Median OS
months (range)
15
(0-83)
15
(1-31)
18
(1-67)
10
(4-28)
NA
17
(0-90)
NA
NA
N. of SNP probes
investigated
5-18x105
5x105
1-2.5x105
2.5x105
0.5x105
0.5-2.5x105
0.5x105
2.5x105
New
genetical
subsets
NO gene AMP
(n=191; 55%)
35
(44%)
11
(46%)
75
(62%)
9
(60%)
7
(58%)
31
(58%)
7
(54%)
16
(53%)
Isolated
EGFR AMP
(n=63; 18%)
17
(21%)
7
(29%)
20
(17%)
1
(7%)
2
(17%)
10
(19%)
2
(15%)
4
(13%)
Isolated non-
EGFR AMP
(n=37; 11%)
10
(13%)
1
(4%)
11
(9%)
3
(20%)
2
(17%)
7
(13%)
1
(8%)
2
(7%)
Multiple AMP
including
EGFR
(n=36; 10%)
13
(16%)
3
(13%)
8
(7%)
1
(7%)
0
3
(6%)
2
(15%)
6
(20%)
Multiple AMP
without EGFR
(n=20; 6%)
5
(6%)
2
(8%)
6
(5%)
1
(7%)
1
(8%)
2
(4%)
1
(8%)
2
(7%)
* 23 additional GBM tumors not available in the GEO data repository were hybridized with the Cytoscan750K (n=11
samples) and Cytoscan HD (n=12 samples) SNP-arrays; AMP: genetic amplification; GAP: genetic amplification profile;
GSE: genomic repository series code; OS: overall survival; N: number; NA: not available. Prognostic impact of gene amplification profiles
in GBM Table 4: Overall survival and genetic features of GBM patients from our series (series 1; n=80) and the seven series
of GBM patients previously reported in the literature (series 2-8; n=267) and included in this study for a total of 347
GBM investigated * 23 additional GBM tumors not available in the GEO data repository were hybridized with the Cytoscan750K (n=11
samples) and Cytoscan HD (n=12 samples) SNP-arrays; AMP: genetic amplification; GAP: genetic amplification profile;
GSE: genomic repository series code; OS: overall survival; N: number; NA: not available. * 23 additional GBM tumors not available in the GEO data repository were hybridized with the Cytoscan750K (n=11
samples) and Cytoscan HD (n=12 samples) SNP-arrays; AMP: genetic amplification; GAP: genetic amplification profile;
GSE: genomic repository series code; OS: overall survival; N: number; NA: not available. distinct embryonic tissue origins [13, 14]. However, these
classification models are difficult to implement in routine
diagnostics and/or remain of relatively limited prognostic
value [34–36]. MDM2, MDM4, PDGFRA and CDK4 genes encoded in
chromosomes 12q15, 1q32.1, 4q12 and 12q14.1 [11, 14,
38], respectively. Of note, gene amplification is a common
genetic alteration across different malignancies and it
usually involves (wild-type or mutated) genes that show
oncogenic potential (i.e are capable of reproducing the
tumor); thereby, it might confer a malignant phenotype
associated with a variable outcome, depending on the
specific genes amplified and/or overexpressed. Despite
this, no study has been reported so far in which the impact
of different GAP on OS has been investigated in a large
series of GBM patients. Among other cytogenetic/molecular alterations,
gene amplification, particularly gene amplification
involving the EGFR gene, represents one of the most
common genetic changes in GBM [11, 20-22, 37]. Thus,
EGFR amplification at chromosome 7p11.2 can be found
in between one third and half of all GBM patients as
the only chromosomal region amplified – including a
variable number of amplified genes – or it can be find
in the same tumor in combination with amplification of
genes located at other chromosomal regions, such as the Here we investigated the GAP across the whole
GBM tumor genome and analyzed their impact on www.oncotarget.com www.oncotarget.com Oncotarget 28091 patient OS, based on one of the largest series of GBM
patients reported so far in the literature. Prognostic impact of gene amplification profiles
in GBM SNP-arrays were
used for both sensitive identification of CNA involving
specific DNA sequences across the whole tumor genome and detailed delineation of the amplified genes; in
order to avoid CNV due to germinal single nucleotide
polymorphisms, insertions and deletions potentially
associated with an increased predisposition to GBM fic DNA sequences across the whole tumor genome
associated with an increased predisposition to GB
re 2: Distribution of the most frequently altered chromosomes (A) and chromosomal regions (B) showing isolated or multi
fications both in cases from series 1 (n=45/80) and in patients (111/267) from the seven distinct series previously reported in
ure by others. Results are shown as percentage values from all cases analyzed. Figure 2: Distribution of the most frequently altered chromosomes (A) and chromosomal regions (B) showing isolated or multiple
amplifications both in cases from series 1 (n=45/80) and in patients (111/267) from the seven distinct series previously reported in the
literature by others. Results are shown as percentage values from all cases analyzed. Figure 2: Distribution of the most frequently altered chromosomes (A) and chromosomal regions (B) showing isolated or multiple
amplifications both in cases from series 1 (n=45/80) and in patients (111/267) from the seven distinct series previously reported in the
literature by others. Results are shown as percentage values from all cases analyzed. www.oncotarget.com Oncotarget Oncotarget 28092 Figure 3: Prognostic impact on overall patient survival of distinct gene amplification profiles of GBM patients from the test cohort – series Figure 3: Prognostic impact on overall patient survival of distinct gene amplification profiles of GBM patients from the test cohort – series
1 alone (n=76); panels (A) and (B) – and after pooling our cases with 181 additional cases from seven series of GBM patients previously
reported in the literature by other groups (panels (C) and (D); n= 257 GBM). In panels (A) and (C), GBM patients were grouped as
having i) no gene amplification; ii) isolated EGFR amplification; iii) gene amplification at multiple chromosomal regions including EGFR
gene amplification; iv) isolated amplification of DNA sequences from a single chromosomal region other than 7p11.2 (i.e not including
amplification of the EGFR gene), and; v) gene amplification at multiple chromosomal regions in the absence of EGFR amplification. Prognostic impact of gene amplification profiles
in GBM In
panels (B) and (D), patients were grouped as: i) cases showing either no gene amplification or having EGFR gene amplification and ii)
patients showing genetic amplification at one or more chromosomal regions which did not involve the EGFR gene. Median overall survival
is expressed in months and was calculated for 257 patients from series 1-8. Cases who were alive but had a follow-up of less than 18 months
and/or died within the 1st month after surgery (n= 16) were excluded from OS analyses. Figure 3: Prognostic impact on overall patient survival of distinct gene amplification profiles of GBM patients from the test cohort – series
1 alone (n=76); panels (A) and (B) – and after pooling our cases with 181 additional cases from seven series of GBM patients previously
reported in the literature by other groups (panels (C) and (D); n= 257 GBM). In panels (A) and (C), GBM patients were grouped as
having i) no gene amplification; ii) isolated EGFR amplification; iii) gene amplification at multiple chromosomal regions including EGFR
gene amplification; iv) isolated amplification of DNA sequences from a single chromosomal region other than 7p11.2 (i.e not including
amplification of the EGFR gene), and; v) gene amplification at multiple chromosomal regions in the absence of EGFR amplification. In
panels (B) and (D), patients were grouped as: i) cases showing either no gene amplification or having EGFR gene amplification and ii)
patients showing genetic amplification at one or more chromosomal regions which did not involve the EGFR gene. Median overall survival
is expressed in months and was calculated for 257 patients from series 1-8. Cases who were alive but had a follow-up of less than 18 months
and/or died within the 1st month after surgery (n= 16) were excluded from OS analyses. Figure 3: Prognostic impact on overall patient survival of distinct gene amplification profiles of GBM patients from the test cohort – series
1 alone (n=76); panels (A) and (B) – and after pooling our cases with 181 additional cases from seven series of GBM patients previously
reported in the literature by other groups (panels (C) and (D); n= 257 GBM). Prognostic impact of gene amplification profiles
in GBM In panels (A) and (C), GBM patients were grouped as
having i) no gene amplification; ii) isolated EGFR amplification; iii) gene amplification at multiple chromosomal regions including EGFR
gene amplification; iv) isolated amplification of DNA sequences from a single chromosomal region other than 7p11.2 (i.e not including
amplification of the EGFR gene), and; v) gene amplification at multiple chromosomal regions in the absence of EGFR amplification. In
panels (B) and (D), patients were grouped as: i) cases showing either no gene amplification or having EGFR gene amplification and ii)
patients showing genetic amplification at one or more chromosomal regions which did not involve the EGFR gene. Median overall survival
is expressed in months and was calculated for 257 patients from series 1-8. Cases who were alive but had a follow-up of less than 18 months
and/or died within the 1st month after surgery (n= 16) were excluded from OS analyses. www.oncotarget.com Oncotarget 28093 acteristics of the GBM patients included in the series 1 (n=76) and their association to disease Table 5: Clinical characteristics of the GBM patients included in the series 1 (n=76) and their association to disease
outcome outcome
Clinical/genetic characteristics
Patient distribution
Overall survival
Univariate analysis
Multivariate analysis
Median
(range)
p-value
Hazard
Ratio (95%
CI)
p-value
Age
>30
2 (2%)
67 (2.7-67)
<.001
31-45
9 (12%)
15 (8-21)
46-60
21 (28%)
14 (2-63)
61-75
34 (45%)
13 (2-83)
>75
10 (13%)
6 (2-11)
Karnofsky Index #
>70
48 (64%)
15 (2-83)
.004
≤70
27 (36%)
10 (2-30)
Type of Surgery
Complete resection
24 (32%)
15 (2-83)
.012
Partial resection
41 (54%)
13 (2-67)
No resection
11 (14%)
6 (2-21)
Adjuvant
chemotherapy#
Stupp
43 (67%)
18 (2-83)
<.001
3 (2-4)
<.001
BCNU
10 (16%)
13 (5-67)
No chemotherapy
11 (17%)
6 (2-11)
Gene amplification
profile
No gene AMP
34 (45%)
13 (2-67)
<.001
Isolated EGFR AMP
16 (21%)
17 (9-83)
Multiple AMP
including EGFR
12 (16%)
13 (2-29)
Isolated non-EGFR
AMP
9 (12%)
6 (2-15)
Multiple AMP without
EGFR
5 (6%)
8 (2-9)
No gene AMP+EGFR
AMP
62 (82%)
14 (2-83)
<.001
6 (2-12)
<.001
AMP without EGFR
14 (18%)
6 (2-15)
CI: confidence interval; #: Data of Karnofsky index and adjuvant chemotherapy were only available in only 75 and 65 GBM
patients respectively; Stupp: radiotherapy plus temozolamide; BCNU: carmustine; AMP: genetic amplification. Prognostic impact of gene amplification profiles
in GBM CI: confidence interval; #: Data of Karnofsky index and adjuvant chemotherapy were only available in only 75 and 65 GBM
patients respectively; Stupp: radiotherapy plus temozolamide; BCNU: carmustine; AMP: genetic amplification. CI: confidence interval; #: Data of Karnofsky index and adjuvant chemotherapy were only available
patients respectively; Stupp: radiotherapy plus temozolamide; BCNU: carmustine; AMP: genetic am (e.g. the rs1801320 SNP in the RAD51 DNA repair gene
[39]), paired tumor and peripheral blood (PB) samples
were analyzed per patient. by genetic amplification at the 12q, 4q12 and 1q32.1
chromosomal regions, and to a lower extent also, at 1q,
5q, 6q, 7q and at regions in both arms of chromosomes
11 or 17. These results confirm and extend on previous
observations by our [20–22] and other groups [40,
41] which indicate that EGFR is the most frequently
amplified oncogene in GBM, where it is detected
in up to 40% of primary GBM tumors in association Overall, our results showed the presence of
gene amplification in the majority (>50%) of tumors
investigated. As expected, genetic amplification
involving DNA sequences at the 7p11.2 chromosomal
region was by far the most frequent alteration, followed www.oncotarget.com Oncotarget 28094 with a better outcome, compared to cases that show
either no gene amplification or amplification of genes
other than EGFR [20, 37]. At present, it is well-
established that activation of the EGFR gene via gene
amplification and/or mutations, up-regulates the RAS/
RAF/MAPK and PI3K signaling pathways, translating
into a tumor phenotype consisting of: i) abnormally
high cell proliferation and ii) survival of tumor cells,
and iii) an increased angiogenesis [11, 42]. Of note,
here we confirm via mapping of the amplified region
in chromosome 7p11.2, that this alteration frequently
includes also the LANCL2 gene, in addition to other
genes adjacent to the EGFR and LANCL2 genes [20,
43]. Although the LANCL2 gene codes for a protein
involved in up-regulation of AKT and cell survival, and
an increased cell sensitivity to adriamycin [44, 45], its
precise mechanism of action remains elusive. tirosine-protein kinase cell surface receptor of the PDGF
growth factor, which promotes cell proliferation and
migration. Finally, amplification of DNA sequences at
chromosome 1q32.1 involved the MDM4 gene together
with the SOX13, ETNK2, KISS1, GOLT1A, PLEKHA6,
REN and PIK3C2B genes. Prognostic impact of gene amplification profiles
in GBM MDM4 inhibits TP53 and
TP73, mediating cell cycle arrest via binding to their
transcriptional activation domain, at the same time it
inhibits degradation of MDM2 [48], whereas PIK3C2B
belongs to the PI3K gene family and activates signaling
for cell proliferation, survival and migration [49]. In
turn, the DTX3 ubiquitin ligase gene probably acts both
as a positive and negative regulator of Notch, depending
on the developmental stage and cell context [50]. Altogether, these findings indicate that the distinct
GAP here reported for GBM tumors might confer a
distinct biological and (also) clinical behavior to these
tumors. Thus, based on the presence vs absence of gene
amplification and its subtypes, five different patterns
were defined among our GBM patients, which showed
an association with OS. From the prognostic point of
view, these five GAP could be further re-grouped into
two major risk-groups including: i) patients with either
no gene amplification or EGFR gene amplification
associated with or without amplification of genes coded
at chromosomal regions other than chromosome 7p11.2,
with a significantly longer OS; and, ii) cases presenting
with amplification of one or more chromosomal regions
that did not include EGFR gene amplification, and that
were associated with a significantly poorer outcome. The
prognostic impact of this later classification was further
confirmed in a larger cohort of GBM patients previously
reported in the literature and, together with the type of
treatment administered, emerged as the most powerful
combination of independent prognostic factor for GBM
patients. However, the precise mechanisms involved
in determining the distinct survival rates of these two
molecular groups of patients, still remain to be elucidated
and deserve further investigations. In line with previous observations [11, 38, 46],
EGFR gene amplification at the 7p11.2 chromosomal
region, was found either as the only amplified DNA
sequence, or in association with amplification of DNA
sequences at other chromosomal regions and genes such
as the PDGFRA, MDM2, MDM4 and CDK4 genes. Such combined pattern of amplification of multiple
genes at distinct chromosomal regions might lead to
unique malignant transformation profiles for which
the underlying mechanisms are still poorly understood;
however, in our series, it did not prove to confer a
more adverse outcome vs isolated amp 7p11.2. In
contrast, isolated amplification of DNA sequences at
chromosomal regions other than that containing the
EGFR gene, were associated with a significantly shorter
OS of GBM patients. Prognostic impact of gene amplification profiles
in GBM Of note, these later alterations
most frequently affected genes encoded in the 12q,
4q and 1q chromosomal regions, and they typically
involved multiple genes [15]. Thus, amplification of
DNA sequences at the 12q13-14 chromosomal region
usually included the CDK4 gene together with the
METTL1, CYP27B1, AVIL, CTDSP2, METT21B, AGAP2
and OS9 genes, while genetic amplification at 12q15
affected the MDM2 oncogene in a significant fraction
of all (primary) GBM tumors analyzed. CDK4 is a
member of the Ser/Thr protein kinase family, required
for the cell cycle transition from the G1 to S-phase
[47]; thus, CDK4 phosphorylates the Rb gene product
leading to its inactivation and the release of proteins
required for cell cycle progression, at the same time
it also down-regulates TP53 [47]. In turn, AVIL binds
actin and promotes the development of neuronal cells,
while the MDM2 gene codes for a nuclear-localized E3-
ubiquitin ligase whose transcription is recognized as the
main p53 negative regulator [48]. In our series, genetic
amplification at the 4q11-12 chromosomal region,
systematically affected the PDGFRA gene together with
the SCFD2 and FIP1L1 genes. PDFGRA [11] codes for a Despite several classification models have
been previously proposed which address the genomic
heterogeneity of GBM [13, 14, 27] and identify tumors
with different cellular origins, so far they have proven
to be of limited prognostic value [34-36, 51] and/or
difficult to be used in routine diagnostics due to the
complexity of the information they require to classify
GBM patients at diagnosis. In contrast, here we propose
a relatively simple prognostic stratification model for
GBM tumors based on their gene amplification profiles
that might be easily implemented in routine laboratory
diagnostics, and that will potentially contribute to a
better management of the patients. www.oncotarget.com www.oncotarget.com Patients and samples Overall, 347 GBM tumors were studied. These
included two groups of adult patients: the first group
consisted of 80 caucasian GBM patients (group 1, series
1) with histological diagnosis of primary GBM based on
the WHO criteria (38 males and 42 females; mean age
of 62±13 years, ranging from 24 to 84 years) (Table 6). Fifty-seven of these 80 patients (71%) were admitted to
the University Hospital of Coimbra (Coimbra, Portugal)
and their genomic data has been deposited in the genomic
repository GEO (series code number: GSE42631)
and 23 (29%) were from the University Hospital of
Salamanca (Spain). Each patient from series 1 gave his/
her informed consent prior to entering the study, and the
study was approved by the local Ethics Committees of
both institutions, according to the Declaration of Helsinki. For each patient within this first group, tumor samples
containing representative areas of (fresh) tumor tissues
were obtained by surgical resection, immediately (<30
min) snap-frozen in liquid nitrogen, and stored at -80ºC
for further SNP-array studies; in parallel, a PB sample was
also collected from each patient. Prior to the SNP-array
studies, a section was cut from the stored tissue blocks and
assessed by conventional histopathological procedures for
its tumoral cell contents. Specimens with ≥75% tumoral Prognostic impact of gene amplification profiles
in GBM In line with this,
we have recently patented an array containing this
combination of probes [52] to assess the above referred www.oncotarget.com Oncotarget 28095 Table 6: Clinical and biological characteristics of GBM patients from series 1 who were analyzed by single-
nucleotide polymorphism arrays in this study (n=80) Oncotarg
28096
www.oncotarget.com
Table 6: Clinical and biological characteristics of GBM patients from series 1 who were analyzed by single-
nucleotide polymorphism arrays in this study (n=80)
Case ID
Age
Gender Karnofsky
Index (%)
Location
Brain
hemisphere
Overall
survival or
follow-up
Exitus
Treatment
Type of
surgery
Chemotherap
GBM1
80
M
ND
Temporal
L
6
Yes
T
ND
GBM2
75
M
80
Fronto-
temporal
R
22
Yes
T
Stupp
GBM3
61
F
90
Parietal
R
83
Yes
T
Stupp
GBM4
73
M
100
Temporal
L
19
Yes
P
Stupp
GBM5
38
M
90
Frontal
R
15
Yes
T
Stupp
GBM6
49
F
60
Frontal
R
30*
No
P
Stupp
GBM7
41
M
40
Temporal
R
11
Yes
P
Stupp
GBM8
57
M
90
Tempo-
parietal
R
6
Yes
T
Stupp
GBM9
72
M
90
Temporal
R
28
No
P
Stupp
GBM10
62
M
100
Parietal
R
28
No
T
Stupp
GBM11
71
M
80
Temporal
R
27
Yes
P
Stupp
GBM12
50
F
100
Temporal
R
13
Yes
T
Stupp
GBM13
72
F
70
Temporal
R
9
Yes
P
Stupp
GBM14
78
F
100
Frontal
R
6
Yes
T
-
GBM15
61
F
100
Frontal
R
25
No
T
Stupp
GBM16
54
M
100
Fronto-
parietal
R
2
Yes
T
Stupp
GBM17
52
M
80
Frontal
R
63
Yes
P
Stupp
GBM18
57
F
90
Temporal
R
10
Yes
P
Stupp
GBM19
68
M
90
Occipital
L
10
Yes
T
Stupp
GBM20
82
F
80
Frontal
L
7
Yes
T
-
GBM21
77
M
70
Temporal
R
6
Yes
P
-
GBM22
69
F
100
Frontal
L
8
Yes
T
Stupp
GBM23
24
F
80
Frontal
L
21
Yes
P
Stupp
G97
53
M
80
Temporal
R
21
Yes
T
Stupp
G94
79
F
80
Temporal
R
9
Yes
P
-
G93
63
M
80
Occipital
R
29
Yes
T
Stupp
G92
54
F
80
Parietal
R
15
Yes
T
Stupp
G91
73
F
60
Occipital
R
13
Yes
P
Stupp
G90
57
F
60
Parietal
L
5
Yes
B
-
G89
51
M
80
Temporal
R
2
Yes
P
-
G88
71
M
80
Parietal
R
8
Yes
P
Stupp
G87
45
M
80
Temporal
L
16
Yes
P
Stupp/
Sequential
(Continued www.oncotarget.com Oncotarget 28096 Case ID
Age
Gender Karnofsky
Index (%)
Location
Brain
hemisphere
Overall
survival or
follow-up
Exitus
Treatment
Type of
surgery
Chemotherapy
G83
75
M
70
Temporal
R
10
Yes
P
-
G82
78
M
70
Frontal
R
2
Yes
B
-
G81
62
F
70
Frontal
R
13
Yes
P
Stupp
G80
43
M
80
Frontal
R
18
Yes
T
Stupp
G79
71
F
60
Occipital
R
6
Yes
B
-
G73
78
F
60
Parietal
L
4
Yes
B
-
G72
77
F
70
Temporal
L
1
Yes
P
-
G71
66
F
60
Parietal
R
10
Yes
P
Sequential
G70
56
F
80
Occipital
L
21
Yes
P
Stupp
G68
72
M
70
Insular
L
26
Yes
T
Stupp
G67
68
F
80
Parietal
R
35
Yes
P
Stupp
G66
60
M
80
Occipital
R
14
Yes
T
Stupp
G65
69
F
60
Parietal
L
1
Yes
P
-
G64
57
M
60
Occipital
L
8
Yes
P
Sequential
G63
61
F
60
Insular
R
13
Yes
P
Sequential
G62
57
F
90
Occipital
R
18
Yes
T
Stupp
G57
34
M
90
Frontal
R
8
Yes
T
Stupp
G56
65
M
80
Frontal
L
13
Yes
P
Stupp
G55
54
F
80
Frontal
R
17
Yes
P
Stupp
G54
65
F
60
Parietal
L
6
Yes
P
-
G53
74
M
60
Frontal
L
29
Yes
T
Stupp
G52
56
M
90
Frontal
L
21
Yes
B
Stupp
G51
60
M
60
Temporal
R
2
Yes
B
-
G50
84
M
70
Temporal
R
11
Yes
P
-
G46
62
M
60
Frontal
L
3
Yes
P
-
G45
76
F
60
Temporal
R
10
Yes
P
-
G44
48
M
80
Frontal
L
22
Yes
P
PCV
G43
67
F
70
Temporal
R
7
Yes
P
-
G42
67
M
80
Temporal
R
2
Yes
P
-
G41
44
F
60
Frontal
R
14
Yes
B
Sequential
G40
45
F
80
Frontal
R
15
Yes
P
BCNU+TMZ
G39
70
F
50
Frontal
R
18
Yes
P
Stupp
G37
70
M
80
Temporal
R
32
Yes
T
Stupp
G35
50
F
80
Frontal
L
2
Yes
P
-
G34
69
M
60
Temporal
R
5
Yes
B
-
G31
71
F
90
Frontal
R
7
Yes
P
-
(Continued ) www.oncotarget.com Oncotarget 28097 Case ID
Age
Gender Karnofsky
Index (%)
Location
Brain
hemisphere
Overall
survival or
follow-up
Exitus
Treatment
Type of
surgery
Chemotherapy
G30
71
F
70
Temporal
R
9
Yes
B
-
G29
49
F
80
Parietal
L
12
Yes
B
Sequential
G25
68
M
80
Frontal
L
6
Yes
P
Stupp
G23
50
F
70
Frontal
R
14
Yes
B
Stupp
G17
30
F
90
Temporal
R
67
Yes
P
Sequential
G15
79
M
80
Parietal
L
5
Yes
T
Sequential
G14
69
F
70
Frontal
R
0
Yes
B
-
G13
39
F
90
Frontal
R
20
Yes
P
Sequential
G12
74
M
70
Temporal
R
1
Yes
B
-
G10
35
F
80
Temporal
L
15
Yes
P
Stupp
G8
67
F
90
Deep
NA
9
Yes
P
Stupp
G6
70
F
80
Temporal
R
19
Yes
P
Stupp GAP, and that we hope can be commercially available
for routine diagnostics soon. MATERIALS AND METHODS The second group of GBM patients included 267
unselected cases from 7 different series of GBM (series
2 to 8; group 2) previously reported in the literature [15,
24, 28–32]. Data from cases included in one of these
series (series 4; n=15 cases) were kindly provided by
Bralten et al [32], while data about the patients and
tumor samples from the other six series was accessed
from publicly available data bases – GSE19612 (series
2; 24 cases); GSE19399 and GSE9635 (series 3; 104 and
16 cases, respectively); GSE14804 (series 5; 12 cases);
E-MEXP1330 (series 6, 53 cases); GSE10922 (series 7;
13 cases) and GSE13021 (series 8; 30 cases)–. Prognostic impact of gene amplification profiles
in GBM cells, in the absence of significant contamination by
normal brain parenchyma and tumoral necrosis, were
selected for further DNA and RNA extraction. Statistical analysis The statistical significance of differences observed
between groups was assessed by the Student T and
the Mann-Whitney U tests, for parametric and non-
parametric (continuous) variables, respectively; for
categorical variables, the X2 test was used. Overall,
257 GBM who survived for >1 month after surgery and
had a minimum follow-up of 18 months (for patients
remaining alive) were included in OS analyses. Survival
curves were plotted according to the method of Kaplan
and Meier, and the (two-sided) log-rank test was used
to assess the statistical significance of differences in OS
among distinct groups of patients. Multivariate analysis
of prognostic factors for OS was performed using the
Cox stepwise regression model. In this part of the study,
only those variables showing a significant association
with RFS in the univariate analysis were included (Table
5). P-values <0.05 were considered to be associated with
statistical significance. For all statistical analysis, the
SPSS software (SPSS 17.0, IBM SPSS, Armonk, NY,
USA), was used. p
In the test series (series 1), 4 different types of
SNP-arrays were used. These included: i) the GeneChip
Human Mapping 500K Array Set (n=35 tumors), which
provides information about >500,000 SNPs according
to the NCBI/hg19 assembly (262,264 SNPs in the
Nsp array and 238,304 SNPs in the Sty array); ii) the
Genome-Wide Human SNP Array 6.0 (n=22 cases),
which contains probes for 906,600 SNPs and 945,826
non-polymorphic probes featuring a total of >1.8 million
probes (Affymetrix); and, iii) the CytoScan 750K and
Cytoscan HD arrays (n=23 tumors) which contain probes
for 200,436 SNPs and 743,304 non-polymorphic probes
(Affymetrix). Data about DNA probes was analyzed
with the Console Genotyping software (version 3.0.2;
Affymetrix). In addition, the dChip 2010 software (http//
www.dchip.org; Dana Farber Cancer Institute, Boston,
MA, USA) was used to calculate CNA values. To plot
CNAs according to their chromosomal location, the
Chromosome Analysis Suite (CHAS) was used. The Hg
19 human genome sequence was used as reference to
name the amplified genes, as defined by CNAs values >
4.8 (arbitrary units) typically corresponding to > 7 DNA
copies (in order to exclude polyploidies) [29]. Mutational analyses following the standard operating procedures (SOPs) of the
Spanish DNA Bank Carlos III (University of Salamanca,
Salamanca, Spain) (http://www.bancoadn.org). Analysis of IDH1 and IDH2 gene mutations was
based on DNA extracted from formalin-fixed and paraffin-
embebed tissues (n=54) using the QIAamp DNA Mini kit
(Qiagen, Germany) according to the instructions of the
manufacture. Exon 4 DNA of both the IDH1 and the IDH2
genes was amplified by PCR and sequenced on a capillary
automated sequencer (CEQ 8000; Beckman-Coulter,
Hialeah, FL, USA); mutational analysis of the sequence
data was performed using the Sequencher, (version 4.7)
software (Genes Codes, Ann Arbor, MI, USA). None of
the 54 primary GBM cases analyzed showed IDH1 or
IDH2 mutations. For the investigation of CNAs by SNP-arrays,
DNA from frozen tumor tissues and their paired PB
samples was used in order to exclude individual CNV
due to germline SNPs, small insertions and deletions. Briefly, extracted DNA (250ng per array) was digested
with restriction enzymes and ligated to the corresponding
adaptors, following conventional Affymetrix procedures
(Affymetrix Inc, Thermo-Fisher Scientific, Waltham,
MA, USA). A generic primer that recognizes the adaptor
sequence was used in triplicate, to amplify adaptor-
ligated DNA fragments via polymerase chain reaction
(PCR). The amplified DNA was then fragmented,
labeled, and hybridized to the corresponding SNP-
array (please see below). After hybridization, chips
were washed in an Affymetrix Fluidics Station 450
(Affymetrix) and the hybridized sequences were
labeled using streptavidin-phycoerythrin, and assayed
by fluorescence detection using a GeneChip Scanner
3000 (Affymetrix). The allelotype at a locus was then
determined based on probe-associated fluorescence
intensity data for oligonucleotides complementary to
the reference sequences that covered the corresponding
SNP position. DNA extraction and identification of copy
number alterations by SNP-arrays DNA from frozen tumor samples (n=80 tumors
from series 1) was purified using the QIAamp DNA
Mini Kit (Qiagen, Valencia, CA, USA), according to
the instructions of the manufacturer. The yield and
purity of the extracted DNA were determined using
a NanoDrop-1000 spectrophotometer (Nano-Drop
Technologies Inc, Wilmington, DE, USA), and they
systematically showed absorbance (A) values >1.5
at 260/230nm and ≥1.8 at 260/280nm wavelengths,
respectively. DNA
integrity
was
evaluated
by
conventional electrophoretic procedures in a 1% agarose
gel. RNA extraction and cDNA synthesis were performed www.oncotarget.com www.oncotarget.com Oncotarget 28098 REFERENCES 1. Louis DN, Perry A, Reifenberger G, von Deimling A,
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was
supported
by
RETICC
RD06/0020/0035, RD06/0020/0059 and RD12/0036/0048
grants from Red Temática de Investigación Cooperativa en
Cáncer (RTICC), Instituto de Salud Carlos III, Ministerio
de Economía y Competitividad, (Madrid, Spain and
FONDOS FEDER), AES PI16/000476 (Instituto de
Salud Carlos III, Madrid, Spain and FONDOS FEDER),
GRS909A14 (JCYL) and CB16/12/00400 grant (CIBER-
ONC, Instituto de Salud Carlos III, Ministerio de Economía
y Competitividad, Madrid, Spain and FONDOS FEDER). 12. The Cancer Genome Atlas (TCGA) Research Network. Comprehensive genomic characterization defines human
glioblastoma genes and core pathways. Nature. 2008;
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neurogenesis. Cancer Cell. 2006; 9:157-73. Author contributions Specific contributions of each author are: Álvaro
Otero, Pablo Sousa, Hermínio Tão, Olinda Rebelo, Marcos
Barbosa and Pim J French have provided samples and
clinical or histopathological data; María González-Tablas,
Inês Crespo, Ana Luísa Vital and María Dolores Tabernero
have processed the samples; Luis Antonio Corchete, Ana
Belen Nieto and María Carmen Patino-Alonso have
analyzed SNP-data; María Dolores Tabernero, Alberto
Orfao, Maria Celeste Lopes and María González-Tablas
have design the study, drafted and writing the manuscript. Maria Rosario Almeida and Ana Filipa Guedes analyzed
the IDH1 and IDH2 mutational status. All authors have
contributed significantly to this article and all of them
have read and approved the manuscript. For the validation series, data on 7 different SNP-
array chips (Affymetrix 50K, 100K, 250K and/or 500K
SNP-arrays) previously reported by others [15, 23, 24,
28–32] were used for the analysis of CNA. The number of
common SNPs for the 100K and 500k arrays, and for the
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Waterfield MD, Arcaro A. Phosphoinositide 3-Kinase
C2beta regulates cytoskeletal organization and cell
migration via Rac-dependent mechanisms. Mol Biol Cell. 2006; 17:3729-44. 43. Eley GD, Reiter JL, Pandita A, Park S, Jenkins RB, Maihle
NJ, James CD. A chromosomal region 7p11.2 transcript
map: its development and application to the study of EGFR
amplicons in glioblastoma. Neuro Oncol. 2002; 4:86-94. 50. Kanu OO, Hughes B, Di C, Lin N, Fu J, Bigner DD, Yan H,
Adamson C. Glioblastoma Multiforme Oncogenomics and
Signaling Pathways. Clin Med Oncol. 2009; 3:39-52. 44. Zeng M, van der Donk WA, Chen JR. Lanthionine
synthetase C-like protein 2 (LanCL2) is a novel regulator
of Akt. Mol Biol Cell. 2014; 25:3954-61. 51. REFERENCES Le Mercier M, Hastir D, Moles Lopez X, De Nève N,
Maris C, Trepant AL, Rorive S, Decaestecker C, Salmon
I. A simplified approach for the molecular classification of
glioblastomas. PLoS One. 2012; 7:e45475. 45. Landlinger C, Salzer U, Prohaska R. Myristoylation of
human LanC-like protein 2 (LANCL2) is essential for the
interaction with the plasma membrane and the increase in
cellular sensitivity to adriamycin. Biochim Biophys Acta. 2006; 1758:1759-67. 52. Tabernero MD. A method for the global detection of
chromosomal gains and losses, and an array for assessing
genetic abnormalities. Spanish patent nº 2012318929 and
European Trade Mark Register “FullChromArray” nº
11057627 and United States TM number 85826459. 2012
Nov 27. 46. Chakravarty D, Pedraza AM, Cotari J, Liu AH, Punko D,
Kokroo A, Huse JT, Altan-Bonnet G, Brennan CW. EGFR
and PDGFRA co-expression and heterodimerization in
glioblastoma tumor sphere lines. Sci Rep. 2017; 7:9043. 47. Brookes S, Gagrica S, Sanij E, Rowe J, Gregory FJ, Hara
E, Peters G. Evidence for a CDK4-dependent checkpoint www.oncotarget.com www.oncotarget.com Oncotarget 28102
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https://ccforum.biomedcentral.com/track/pdf/10.1186/ccf-1999-121
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English
| null |
Comparison of five sedation scoring systems by means of auditory evoked potentials
|
Critical care
| 1,999
|
cc-by
| 928
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:
BioMed Central
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:
London
PublisherImprintName
:
BioMed Central PublisherInfo
PublisherName
:
BioMed Central
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:
London
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BioMed Central PublisherInfo
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BioMed Central
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BioMed Central Comments The drawbacks of AERs are that they require training and experience, and the effects of repeated
auditory stimuli on a critically ill patient are unknown. The newer bispectral index monitor may be more
useful in the ICU setting since it is simple to use by all staff and requires no auditory input. Alternatively
in the absence of these expensive monitoring systems, oversedation may be avoided by switching off
sedation at regular periods and not restarting infusions until the patient reaches a lesser sedation score. Aims The authors have compared an objective measure (AER) with various subjective scoring systems. The authors have compared an objective measure (AER) with various subjective s Evoked potentials, intensive care therapy, monitoring of sedation, sedation, sedation score Evoked potentials, intensive care therapy, monitoring of sedation, sedation, sedation score Introduction Auditory evoked responses (AEP) have been used as a means of monitoring awareness during
anaesthesia. Attention has focused on the latency of the early cortical response Nb which indicates light
anaesthesia and potential awareness when decreased to less than 44.5 ms. On the intensive care unit
(ICU) sedation and analgesia is necessary to prevent ventilator dysynchrony and allow unpleasant
procedures to take place. Sedation scoring systems are usually used to assess the level of sedation but
unfortunately they are subjective and poor indicators of oversedation. Comparison of five sedation scoring systems by means of
auditory evoked potentials Comparison of five sedation scoring systems by means of
auditory evoked potentials
ArticleInfo
ArticleID
:
4078
ArticleDOI
:
10.1186/ccf-1999-121
ArticleCitationID
:
121
ArticleSequenceNumber
:
15
ArticleCategory
:
Paper Report
ArticleFirstPage
:
1
ArticleLastPage
:
4
ArticleHistory
:
RegistrationDate : 1999–5–7
OnlineDate
: 1999–5–7
ArticleCopyright
:
Current Science Ltd1999
ArticleGrants
:
ArticleContext
:
130541111 ArticleInfo
ArticleID
:
4078
ArticleDOI
:
10.1186/ccf-1999-121
ArticleCitationID
:
121
ArticleSequenceNumber
:
15
ArticleCategory
:
Paper Report
ArticleFirstPage
:
1
ArticleLastPage
:
4
ArticleHistory
:
RegistrationDate : 1999–5–7
OnlineDate
: 1999–5–7
ArticleCopyright
:
Current Science Ltd1999
ArticleGrants
:
ArticleContext
:
130541111 Richard Venn Results The authors carried out 190 measurements in the 95 patients. Patients with higher APACHE II scores
were more likely to be deeply sedated since, for example, severe acute respiratory distress syndrome
(ARDS) patients required greater sedation to prevent ventilator dysynchrony and impaired gas
exchange.The Ramsay score revealed the best correlation with changes in Nb latency (see table)
Table
Scoring system
Kendall's coefficient
Coefficient of determination(r2)
P
Ramsay
0.71
0.68
<0.05
Cohen
-0.62
0.56
<0.05
Cambridge
0.68
0.61
<0.05
Bloomsbury
-0.62
0.57
<0.05
Newcastle
-0.64
0.59
<0.05
However scatterplots showed a large variation of Nb latencies with deeper levels of sedation; ie these
scoring systems are poor discriminators at deeper sedation levels. The authors carried out 190 measurements in the 95 patients. Patients with higher APACHE II scores
were more likely to be deeply sedated since, for example, severe acute respiratory distress syndrome
(ARDS) patients required greater sedation to prevent ventilator dysynchrony and impaired gas
exchange.The Ramsay score revealed the best correlation with changes in Nb latency (see table) Table
Scoring system
Kendall's coefficient
Coefficient of determination(r2)
P
Ramsay
0.71
0.68
<0.05
Cohen
-0.62
0.56
<0.05
Cambridge
0.68
0.61
<0.05
Bloomsbury
-0.62
0.57
<0.05
Newcastle
-0.64
0.59
<0.05 Table
Scoring system
Kendall's coefficient
Coefficient of determination(r2)
P
Ramsay
0.71
0.68
<0.05
Cohen
-0.62
0.56
<0.05
Cambridge
0.68
0.61
<0.05
Bloomsbury
-0.62
0.57
<0.05
Newcastle
-0.64
0.59
<0.05 However scatterplots showed a large variation of Nb latencies with deeper levels of sedation; ie these
scoring systems are poor discriminators at deeper sedation levels. However scatterplots showed a large variation of Nb latencies with deeper levels of sedation; ie these
scoring systems are poor discriminators at deeper sedation levels. Methods dy investigated 95 consecutive patients requiring sedation for ventilation on the IC The study investigated 95 consecutive patients requiring sedation for ventilation on the ICU. Midazolam and fentanyl were given for sedation and analgesia respectively, but additional agents could Midazolam and fentanyl were given for sedation and analgesia respectively, but additional agents could be used if sedation proved inadequate (propofol, methohexitone, gamma-hydroxybutyrate, ketamine or
clonidine). The AER (midlatency Nbpeak) and corresponding level of sedation was recorded using five
scoring systems [Ramsay, Cohen, Cambridge, Bloomsbury and Newcastle (Cook) Sedation Scores]. Kendall's correlation coefficients were calculated and regression analysis performed. be used if sedation proved inadequate (propofol, methohexitone, gamma-hydroxybutyrate, ketamine or
clonidine). The AER (midlatency Nbpeak) and corresponding level of sedation was recorded using five
scoring systems [Ramsay, Cohen, Cambridge, Bloomsbury and Newcastle (Cook) Sedation Scores]. Kendall's correlation coefficients were calculated and regression analysis performed. Discussion Derived electrophysiological measurements and evoked potentials have all been used to measure
depth of sedation/anaesthesia but require training and experience to develop competency. However,
since clinical scoring systems are poor discriminators at deeper sedation levels, the authors suggest that
AERs may have a role where deeper levels of sedation are required for prolonged periods. It is
postulated that the Ramsay score showed the best correlation since it includes a primitive reflex
(glabellar tap) to discriminate asleep states. 1. Schulte-Tamburen AM, Scheier J, Briegel J, Schwender D, Peter K: Comparison of five sedation
scoring systems by means of auditory evoked potentials. Intensive Care Med. 1999, 25: 377-382. References 1. Schulte-Tamburen AM, Scheier J, Briegel J, Schwender D, Peter K: Comparison of five sedation
scoring systems by means of auditory evoked potentials. Intensive Care Med. 1999, 25: 377-382. This PDF file was created after publication.
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https://openalex.org/W1998753324
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https://europepmc.org/articles/pmc4116196?pdf=render
|
English
| null |
The Transaldolase, a Novel Allergen of Fusarium proliferatum, Demonstrates IgE Cross-Reactivity with Its Human Analogue
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PloS one
| 2,014
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cc-by
| 6,505
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Abstract . These authors contributed equally to this work. Hong Chou1., Keh-Gong Wu2., Chang-Ching Yeh3, Hsiao-Yun Tai1, Ming F. Tam4, Yu-Sen Chen1, Horng-
Der Shen1* Hong Chou1., Keh-Gong Wu2., Chang-Ching Yeh3, Hsiao-Yun Tai1, Ming F. Tam4,
Der Shen1* 1 Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, R.O.C., 2 Department of Pediatrics, Taipei Veterans General Hospital and National
Yang-Ming University, Taipei, Taiwan, R.O.C., 3 Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei, Taiwan, R.O.C., 4 Department of
Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America Abstract Fusarium species are among airborne fungi and recognized as causative agents of human atopic disorders. However,
Fusarium allergens have not been well characterized and the lack of information limits clinical diagnosis and treatment of
fungal allergy. The purpose of this study is to identify and characterize important allergens of F. proliferatum. IgE-reacting F. proliferatum components were identified by immunoblot using serum samples from patients of respiratory atopic diseases. Characterization of allergens and determination of IgE cross-reactivity were performed by cDNA cloning, then homologous
expression and immunoblot inhibition studies. We identified nine different F. proliferatum components that can be
recognized by IgE antibodies in 17 (28%) of the 60 atopic sera tested. Components with molecular masses of about 43, 37.5
and 36.5 kDa with IgE-binding frequencies of about 88, 47 and 53%, respectively, were considered as important allergens of
F. proliferatum. The 37.5 kDa IgE-binding component was putatively considered as a transaldolase protein of F. proliferatum. The full-length cDNA of F. proliferatum transaldolase was subsequently cloned. It encodes an open reading frame of 312
amino acids and has sequence identifies of 73 and 61%, respectively, with Cladosporium and human transaldolases. The
purified recombinant F. proliferatum transaldolase can inhibit the IgE-binding against the 37.5 kDa component of F. proliferatum and the transaldolase allergen from Cladosporium cladosporioides. More importantly, the recombinant F. proliferatum transaldolase can inhibit IgE-binding against human transaldolase in a concentration-dependent manner. Thus,
a novel and important F. proliferatum transaldolase allergen was identified. In addition to IgE cross-reactivity between the
Fusarium and the Cladosporium transaldolase allergens, IgE cross-reactivity between the Fusarium and the human
transaldolases also exists and might contribute to atopic manifestations in the absence of exogenous allergen exposure. Editor: Thomas H. Thatcher, University of Rochester Medical Center, United States of America Copyright: 2014 Chou 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 National Science Council (Grant NSC 101-2320-B-075-005-MY2) and the Taipei Veterans General Hospital
(V102C-066), Taipei, Taiwan, Republic of China. 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. * Email: hdshen@vghtpe.gov.tw . These authors contributed equally to this work. Editor: Thomas H. Thatcher, University of Rochester Medical Center, United States of America Citation: Chou H, Wu K-G, Yeh C-C, Tai H-Y, Tam MF, et al. (2014) The Transaldolase, a Novel Allergen of Fusarium proliferatum, Demonstrates IgE Cross-Reactivity
with Its Human Analogue. PLoS ONE 9(7): e103488. doi:10.1371/journal.pone.0103488 Immunoblot inhibition For immunoblot inhibition studies, anti-transaldolase IgE-
containing serum samples were firstly reacted with purified
recombinant F. proliferatum transaldolase before incubating with
PVDF blots containing F. proliferatum extracts, purified rCla c
14.0101, or purified recombinant human transaldolase at 4uC for
16 h. As controls, the blots were incubated with similar serum
samples that have been pre-incubated with equivalent amounts of
bovine serum albumin (BSA, Pierce, Rockford, IL, USA) or
purified recombinant house dust mite allergen Der p 7 [21]. The
blots were then washed and incubated with alkaline phosphatase-
conjugated monoclonal anti-human IgE antibodies (Pharmingen)
and developed with enzyme substrates as described [19,20]. In
addition, two house dust mite-sensitized serum samples were firstly Transaldolase Allergen of Fusarium proliferatum in Europe. In India, skin prick tests with 60 allergens were
performed on 48 patients with naso-bronchial allergy and results
indicated that Aspergillus fumigatus, A. flavus, Alternaria teneis
and F. solani were common fungal allergens [14]. In Greece,
Gonianakis et al. [15] found that among 571 patients, 42%
showed dermal positivity to allergens derived from Alternaria,
Cladosporium, Fusarium, Aspergillus, and Mucor. Thus, there is a
worldwide indication that Fusarium fungus may play a role in
clinical allergy. However, our knowledge about allergens of this
airborne Fusarium fungus is still quite limited [13,16] and
standardized Fusarium extracts for clinical diagnostics are lacking. skimmed milk and incubated with serum samples for 16 h at
4uC. The membranes were washed, incubated with alkaline
phosphatase-conjugated monoclonal anti-human IgE antibodies
(Pharmingen, San Diego, CA, USA) then developed with enzyme
substrates essentially as described [19,20]. Serum samples from a
non-atopic healthy individual and two house dust mite (Derma-
tophagoides pteronyssinus)-sensitized atopic individuals were used
as controls. Crude extracts of F. proliferatum F. proliferatum strain BCRC 30972 was used in this study. It
was isolated from the air of Taiwan and provided by the Food
Industry Research and Development Institute, Hsinchu, Taiwan. It was cultured in a CYB medium without agitation at 26uC for
five days. The CYB medium contains yeast carbon base (Difco
Laboratories, Detroit MI, USA; 11.7 g/L), glucose (Mallinckrodt
Baker, Inc., Phillipsburg, NJ, USA; 10 g/L) and casein enzymatic
hydrolysate (Sigma Chemical Co., St. Louis, MO, USA; 10 g/L). Crude extracts of F. proliferatum were prepared essentially as
described [19,20]. The protein content of crude fungal extracts
was determined with a dye-binding assay according to the
manufacturer’s instructions (Bio-Rad, Richmond, CA, USA). Preparation of recombinant fungal transaldolases The sixty serum samples used in this study were obtained from
the Biobank at the Taipei Veterans General Hospital. All these
serum samples were obtained from respiratory atopic patients
(allergic rhinitis and/or atopic asthma) who attended the allergy
clinics of the Taipei Veterans General Hospital and were stored in
aliquots at 280uC. This study has been approved by the
Institutional Review Board of the Taipei Veterans General
Hospital. p
g
The F. proliferatum transaldolase was expressed with an N-
terminal
His6-tag. Appropriate
primers
(Fu-TAase-f,
5’-
cgggatcc44tcttcctctctcgaacagctc64-3’
and
Fu-TAase-r,
5’-aactg-
cag1012ttaggcgagcttctccttgaggatgc987-3’) were used in the PCR
amplification
with
the
full-length
cDNA
encoding
the
F. proliferatum transaldolase prepared above as template. The
PCR products were restricted then ligated into the pQE-80 vector
(Qiagen Inc., Valencia, CA, USA) for protein expression in E. coli
JM109 cells. The recombinant proteins were affinity-purified with
Ni-NTA resin columns (Qiagen Inc.) according to the manufac-
turer’s instructions. The His6-tagged recombinant C. cladospor-
ioides transaldolase (Cla c 14.0101) used in this study was prepared
as described previously [19]. Immuno-reactivity of the recombi-
nant fungal and the recombinant human transaldolases (Novus
Biologicals,
Littleton,
CO,
USA;
0.5 mg/strip)
against
IgE
antibodies was analyzed by SDS-PAGE-immunoblot. cDNA Cloning The cDNA encoding the F. proliferatum transaldolase was
isolated with polymerase chain reactions (PCR) using an Affinity-
Script Multiple Temperature cDNA Synthesis kit (Stratagene, La
Jolla, Calif., USA) as previously described [19,20]. Primers TAase
(5’-119aag/tac/aag/cc(a/c)/ca(a/g)/ga(t/c)/gc138-3’) and AP (5’-
ggccacgcgtcgactagtact-(dt)16-3’) were used in the first set of PCR. The product obtained was used as a template in a subsequent PCR
with primers TAase and AUAP (5’-ggccacgcgtcgactagtac-3’). The
product from the nest PCR reaction was gel purified and inserted
into the pGEM-T vector (Promega, Madison, WI, USA) for
sequencing analysis. g
g
IgE cross-reactivity is an important component of fungal
sensitization and could contribute significantly to allergy manifes-
tation [17]. Thus, in addition to the identification and character-
ization of fungal allergens, it is important to delineate IgE cross-
reactivity between allergens from different fungal species and even
more importantly, between fungal allergens and their human
analogues. Previously, we have identified important IgE cross-
reactive pan-serine protease fungal allergens from prevalent
Penicillium and Aspergillus species [18]. Recently, in addition to
serine proteases, the transaldolase has also been identified as a
significant and IgE cross-reactive allergen family of Cladosporium
and Penicillium species [19]. The purpose of this study is to
identify and characterize allergens of Fusarium species. Our
results show that the 37.5 kDa transaldolase is a novel and
important allergen of F. proliferatum (Fus p 4.0101). In addition,
Fus
p
4.0101
demonstrated
IgE
cross-reactivity
with
the
transaldolase allergen from C. cladosporioides (Cla c 14.0101)
and, interestingly, with the human transaldolase. The full-length cDNA of the F. proliferatum transaldolase was
obtained by 5’ rapid amplification of cDNA end (RACE) reaction. The template cDNA for the reaction was synthesized with reverse
transcriptase (RT, Stratagene) and primer GSP-r1 (5’-529aagaga-
gaacatgagggtgaggtt506-3’). An oligo-(dC) was added to the end of
the purified cDNA with terminal deoxynucleotidyl transferase
(Promega). Primers GSP-r2 (5’-336tcgacctcagttgagacctt317-3’) and
5R AAP (5’-ggccacgcgtcgactagtacgggiigggiigggiig-3’) were then
used in the 5’-RACE reaction. The product was purified,
subcloned, transformed and subsequently sequenced. The full-length cDNA of the F. proliferatum transaldolase was
obtained by 5’ rapid amplification of cDNA end (RACE) reaction. The template cDNA for the reaction was synthesized with reverse
transcriptase (RT, Stratagene) and primer GSP-r1 (5’-529aagaga-
gaacatgagggtgaggtt506-3’). An oligo-(dC) was added to the end of
the purified cDNA with terminal deoxynucleotidyl transferase
(Promega). Primers GSP-r2 (5’-336tcgacctcagttgagacctt317-3’) and
5R AAP (5’-ggccacgcgtcgactagtacgggiigggiigggiig-3’) were then
used in the 5’-RACE reaction. The product was purified,
subcloned, transformed and subsequently sequenced. Introduction including Taipei [6–8]. Cladosporium and Alternaria are clinically
important causative allergenic agents for patients sensitive to fungi
[2]. Fusarium fungus can emit large amount of spores in rainy or
humid enrivonment [9]. Thus, it is of interest to study the
relevance of Fusarium fungus to allergic sensitization. Chang et al. [10] tested a list of 54 air-borne allergens in 66 bronchial asthma
patients in the Taipei area, and 20 (30%) of the patients showed
positive skin reaction to Fusarium extracts. O’Neil et al. [11]
found that among 69 atopic individuals tested in United States, 17
(24%) of the patients had positive skin reactions to an extract of F. solani. Stroud et al. [12] reported that reactivity to fungi was found
in 65% of chronic rhinitis patients and reactions to Fusarium
(58%), Alternaria (39%) and Pullularia (38%) were particularly
common. Using in-house extracts for EAST and immunoblot
experiments, Hoff et al. [13] detected F. culmorum specific IgE
antibodies in 23 (44%) of 52 subjects with suspected mould allergy The prevalence of human atopic diseases including allergic
rhinitis and asthma is increasing during recent decades [1]. Sensitization to molds which are ubiquitous in our environment
has been reported to be close to 80% of asthmatic patients [2]. Hence, it is important to characterize fungal allergens and
subsequently provide a basis for better diagnosis and treatment
of fungal allergy [2–4]. However, fungal allergens are difficult to
be defined since multitudinous factors contribute to the results
obtained [3,5]. Due to these inherent difficulties, the manufactur-
ing of standardized and high quality fungal allergen extracts is not
available in the United States [4]. It highlights the necessity of
characterizing important fungal allergens [2–4]. Cladosporium
species
are
the
dominant
airborne
spores
worldwide [3]. In addition, Alternaria, Aspergillus, Penicillium
and Fusarium species are also airborne fungi in many areas July 2014 | Volume 9 | Issue 7 | e103488 1 PLOS ONE | www.plosone.org Transaldolase Allergen of Fusarium proliferatum July 2014 | Volume 9 | Issue 7 | e103488 Immunoreactivity of recombinant transaldolase proteins Immunoreactivity of recombinant transaldolase proteins
In this study, rFus p 4.0101 was expressed as N-terminal His6-
tag proteins in E.coli and purified (Fig. 3, panel A). It has an
apparent molecular mass of about 38 kDa upon SDS-PAGE
analysis (data not shown). The Coomassie blue-stained protein
profiles of rFus p 4.0101, rCla c 14.0101 and a recombinant
human transaldolase obtained commercially are shown in Fig. 3,
panel A. Serum sample nos. 1–3 from Fig. 1, panel B showed
positive IgE-binding against rFus p 4.0101. These three serum
samples have negative IgE-binding to rCla c 14.0101 and serum
no. 2 showed positive IgE-binding against human transaldolase
(Fig. 3, panel B). In addition, nine serum samples from asthmatic
patients with IgE-binding against rCla c 14.0101 or recombinant
human transaldolase [19] were included in this study. The IgE
immunoblot reactivities of these sera (serum nos. 21–29) against
these three different recombinant transaldolases are shown in
Fig. 3, panel B. Among these nine serum samples, eight (serum
nos. 21–26, 28 and 29) showed positive IgE-binding against rFus p
4.0101. Eight (serum nos. 21–28) of these nine serum samples
showed IgE-binding against rCla c 14.0101. Furthermore, serum
nos. 22, 24, 26, 27 and 29 have also IgE reactivity against
recombinant human transaldolase. Serum from a non-atopic
individual (serum no. 18) and from two house dust mite-sensitized
atopic individuals (serum nos. 19 and 20) were used as controls
and showed negative IgE immunoblot reactivity against all three
recombinant transaldolases (Fig. 3, panel B). Since a 36.5 kDa IgE-binding component was identified as a
transaldolase allergen of C. cladosporioides (Cla c 14.0101) [19]. We putatively concluded that the IgE-reacting 37.5 kDa compo-
nent from F. proliferatum was possibly a transaldolase. Sodium dodecyl sulfate-polyacrylamide gel
electrophoresis (SDS-PAGE) and immunoblotting Proteins in the crude fungal extractions or purified recombinant
proteins were separated by SDS-PAGE [19,20] then transferred
electrophoretically onto polyvinylidene difluoride (PVDF) mem-
branes (0.45 mm, Millipore, Bedford, MS, USA). Protein compo-
nents reacting against human IgE antibodies were determined as
described [19,20]. The membranes were blocked with 1% July 2014 | Volume 9 | Issue 7 | e103488 PLOS ONE | www.plosone.org PLOS ONE | www.plosone.org 2 Transaldolase Allergen of Fusarium proliferatum reacted with purified recombinant Der p 7, F. proliferatum
transaldolase
or
BSA
before
incubating
with
PVDF
blots
containing Der p 7 at 4uC for 16 h. The blots were then
incubated with alkaline phosphatase-conjugated monoclonal anti-
human IgE antibodies (Pharmingen) and developed with enzyme
substrates as above. GQ906475), P. chrysogenum (accession no. GQ925430), S. cerevisiae (accession no. AAB67752), and Homo sapiens (accession
no. AAF40478) transaldolases, respectively (data not shown). The
transaldolase from F. proliferatum has only one cysteine residue. However, three cysteine residues are conserved among A. fumigates, C. cladoporioides and P. chrysogenum transaldolases. In addition, one and two cysteine residues can be found in S. cerevisiae and Homo sapiens transaldolases, respectively (data not
shown). The one potential N-glycosylation site of F. proliferatum
transaldolase (156NLT158) is boxed in Fig. 2 and it is conserved
among all the transaldolases mentioned above. cDNA cloning of the F. proliferatum transaldolase cDNA cloning of the F. proliferatum transaldolase The full-length cDNA encoding the F. proliferatum transaldo-
lase was obtained through RT-PCR coupled with the 5’-end
RACE
reaction. The
nucleotide
(GenBank
accession
no. KF151224) and the deduced amino acid sequences of the open
reading frame are presented in Fig. 2. A potential polyadenylation
signal (AATCGA) for mRNAs of higher eukaryotes was found 15–
20 bases upstream from the poly-A tail. The mature F. proliferatum transaldolase protein, excluding the initiator methi-
onine [22] has 322 residues and a calculated molecular mass of
35404 daltons, without considering the presence of further post-
translational modifications. It has one cysteine (Cys240) and one
putative N-glycosylation site (156NLT158) (Fig. 2). Furthermore,
amino acid residues conserved among transaldolases (Asp18,
Asn36, Glu97, Lys133, Asn156, Thr158, Ser178 and Arg183) can
also be found (Fig. 2). These conserved residues are crucial to
enzyme catalysis or substrate binding [23]. This transaldolase
allergen has been designated as Fus p 4.0101 by the I.U.I.S. Allergen Nomenclature Sub-committee. Immunoblot inhibition The relationship between rFus p 4.0101 and the IgE-binding
37.5 kDa component of F. proliferatum was further delineated
with immunoblot inhibition. Fig. 4 showed that serum sample no. 1 from panel B of Fig. 1 has IgE immunoblot reactivity against the
37.5 kDa component of F. proliferatum (Fig. 4, strip 1 of panel B). This immunoblot reactivity was inhibited when the same serum
sample was pre-absorbed with 10 mg of rFus p 4.0101 (Fig. 4, strip
2 of panel B). Pre-absorption of the serum sample with 10 mg of
BSA did not inhibit its IgE binding against the 37.5 kDa
component of F. proliferatum (Fig. 4, strip 3 of panel B). Results
obtained correlate the 37.5 kDa component with the F. prolifer-
atum transaldolase and much of the IgE determinants on the
native transaldolase were conserved in the recombinant Fus p
4.0101. Immunoblot reactivity against components of F.
proliferatum p
F. proliferatum crude extracts were separated by SDS-PAGE. The Coomassie blue-stained protein profile of the fungal extracts
was shown in panel A of Fig. 1. The separated proteins were
blotted onto PVDF membrane then reacted with patient sera. Among the 60 serum samples from respiratory atopic patients
examined, 17 (28%) demonstrated IgE-binding against compo-
nents of F. proliferatum (Fig. 1, strip nos. 1–17 of panel B). Human IgE antibodies reacted with at least nine different F. proliferatum components ranging in molecular mass from 92 to
30 kDa as shown in Fig. 1 and Table 1. Components of 43 and
36.5 kDa with IgE-binding frequencies of 88% (15/17) and 53%
(9/17), respectively, may be considered as major allergens of F. proliferatum. In Fig. 1, the 36.5 kDa allergen has a relatively
higher intensity of IgE-immunoblot reactivity than others. The
37.5 kDa component (indicated with an arrow, Fig. 1B) with IgE-
binding frequency of 47% (8/17) was considered an important
allergen of F. proliferatum. The 92, 83 and 48 kDa components
with IgE-binding frequencies of about 35–41% were considered as
significant allergens of F. proliferatum. The 40, 32 and 30 kDa
components with IgE-binding frequencies of less than 20% were
minor allergens of F. proliferatum. A serum sample from a non-
atopic individual (serum no. 18) and two serum samples from
house dust mite (D. pteronyssinus)-sensitized atopic individuals
(serum nos. 19 and 20) were included as negative controls and
shown in Fig. 1, panel B. Immunoglobulin E cross-reactivity equiseti, a 65 kDa protein was also found as a major allergen of
this common Fusarium species [25]. The nature of the 65 kDa
major allergen needs further study. The 45 kDa F. solani allergen
has an N-terminal sequence of Lys-Gly-Arg-Thr-Glu-Phe-Ala,
which does not show homology to any known fungal proteins [26]. Through cDNA cloning, Hoff et al. in Europe identified three F. culmorum allergens (Fus c 1, Fus c 2 and Fus c 3) [13]. The 11 kDa
Fus c 1 (60S acidic ribosomal protein P2), 13 kDa Fus c 2
(thioredoxin-like protein) and 49 kDa Fus c 3 (not related to
known proteins) have IgE-binding frequencies of 35, 50, and 15%,
respectively, with sera from 26 individuals sensitized to F. culmorum [13]. Recently, Khosravi et al. in Iran showed with
immunoblotting that F. solani has six major allergens with
molecular masses of 24, 58.5, 64.5, 69, 72 and 97 kDa [27]. In this
study, we did not detect a major IgE-binding F. proliferatum
protein with molecular mass of about 65 kDa. Whether our 37.5
and 43 kDa IgE-reacting F. proliferatum components correspond
to the 38 and 45 kDa F. solani allergens reported need further
clarification. Furthermore, we did not detect low molecular mass
IgE-binding F. proliferatum proteins correlate to the 11 and
13 kDa F. culmorum allergens. Whether our 48 kDa IgE-reacting
F. proliferatum protein resembles the 49 kDa F. culmorum
allergen also needs further elucidation. The utilization of different
fungal strains, the variations in the culturing conditions, the
variance of the methods used in preparing the fungal extracts, and
the divergences in exposure and genetic background of individuals
examined all contribute to discrepancies in results obtained from
various studies and research groups [4]. Thus, studies of fungal
allergens at molecular level to provide a basis for standardized
fungal extracts is of major importance in clinical allergy. Serum sample no. 26 has also IgE-binding activity against
recombinant human transaldolase (Fig. 3, panel B and Fig. 5,
panel B). This activity can be inhibited dose dependently by pre-
absorbing the serum with 2 or 20 mg of rFus p 4.0101. Inhibition
of IgE binding was not detected when the same serum was pre-
absorbed with 20 mg of BSA (Fig. 5, panel B). In addition, the IgE-
binding activity against recombinant human transaldolase of
serum no. Immunoglobulin E cross-reactivity The panel A of Fig. 5 showed that serum nos. 26 and 28 from
Fig. 3, panel B has IgE-binding activity against rCla c 14.0101. rFus p 4.0101 can inhibit, dose dependently, this reactivity (Fig. 5,
panel A). Pre-absorption of serum sample no. 26 with 50 mg of
BSA or pre-absorption of serum sample no. 28 with 20 mg of rDer
p 7 did not inhibit its IgE binding against rCla c 14.0101 (Fig. 5,
panel A). The results suggest IgE cross-reactivity between
transaldolases from Fusarium and Cladosporium fungi. Results from sequence alignment revealed that the F. prolifer-
atum transaldolase has 255 (79%), 236 (73%), 247 (77%), 207
(64%) and 195 (61%) amino acids identical to that of A. fumigatus
(accession no. XM748623), C. cladoporioides (accession no. PLOS ONE | www.plosone.org July 2014 | Volume 9 | Issue 7 | e103488 3 Transaldolase Allergen of Fusarium proliferatum Figure 1. Immunoblot reactivity against components in F. proliferatum extracts. (A) Coomassie blue-stained protein profile of F. proliferatum
extracts. (B) IgE immunoblot profiles obtained with serum samples from respiratory atopic patients (serum nos. 1–17), a non-atopic individual (serum
no. 18) and two house dust mite (D. pteronyssinus)-sensitized atopic individuals (serum nos. 19, 20). The arrow indicates the position of the 37.5 kDa
component of F. proliferatum. doi:10.1371/journal.pone.0103488.g001 gure 1 Immunoblot reactivity against components in F proliferatum extracts (A) Coomassie blue-stained protein profile of F proliferatum Figure 1. Immunoblot reactivity against components in F. proliferatum extracts. (A) Coomassie blue-stained protein profile of F. proliferatum
extracts. (B) IgE immunoblot profiles obtained with serum samples from respiratory atopic patients (serum nos. 1–17), a non-atopic individual (serum
no. 18) and two house dust mite (D. pteronyssinus)-sensitized atopic individuals (serum nos. 19, 20). The arrow indicates the position of the 37.5 kDa
component of F. proliferatum. doi:10.1371/journal.pone.0103488.g001 Allergens of the Fusarium species have been reported by three
different groups. Verma et al. [16] reported from India that the
culture filtrates from F. solani contained 18 allergenic proteins as
determined by immunoblotting. A 65-kDa protein component
reacted with IgE antibodies in all 15 patient sera tested and was
considered as a major allergen [16]. The 45 and 14 kDa
components reacted against IgE in 12 patients’ sera. The 41, 38,
35 and 30 kDa F. solani components reacted with IgE antibodies
in 9 of the 15 patients’ sera tested [16]. In studies of allergens of F. Immunoglobulin E cross-reactivity 29 can also be inhibited dose dependently by pre-
absorbing the serum with 5 or 20 mg of rFus p 4.0101 (Fig. 5,
panel B). Inhibition of IgE binding was not detected when the
same serum was pre-absorbed with 20 mg of Der p 7 (Fig. 5, panel
B). Results in Fig. 5, panel C demonstrated that IgE-binding
against recombinant Der p 7 in two house dust mite-sensitized
atopic serum samples (serum nos. 19 and 20 in Fig. 1 and Fig. 3)
can be inhibited by pre-absorbing both serum samples with 5 or
20 mg of rDer p 7. But similar amounts of Fus p 4.0101 or BSA
cannot inhibit this binding activity. July 2014 | Volume 9 | Issue 7 | e103488 Transaldolase Allergen of Fusarium proliferatum Table 1. Reactivity of IgE antibodies against components of F. proliferatum analyzed by SDS-PAGE-immunoblot. F. proliferatum
component
Strips of IgE-immunoblot
No. kDa
Frequency of IgE-binding (%)
1
2
3
4
5
6
7
8
9
10
11
12 13 14 15 16 17 18
1
92
41 (7/17)
+*
+
+
+
+
+
+
2
83
35 (6/17)
+
+
+
+
+
+
3
48
35 (6/17)
+
+
+
+
+
+
4
43
88 (15/17)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
5
40
18 (3/17)
+
+
+
6
37.5
47 (8/17)
+
+
+
+
+
+
+
+
7
36.5
53 (9/17)
+
+
+
+
+
+
+
+
+
8
32
12 (2/17)
+
+
9
30
12 (2/17)
+
+ Figure 2. The nucleotide and deduced amino acid sequences of
Fus p 4.0101 (GenBank accession no. KF151224). Numbers to the
right are the positions of the nucleotides and the deduced residues of
the sequences. The stop codon TAA is denoted with an asterisk (*). The
potential N-glycosylation site is indicated in bold letters and boxed. Eight conserved amino acid residues that are involved in the catalysis
and the substrate binding of transaldolases are shaded and in bold
letters. Nucleotide sequences in grey correspond to primer sequences
synthesized for PCR experiments in the cDNA cloning of Fus p 4.0101 as
described in the Materials and Methods. The sequences corresponding
to primers Fu-TAase-f and Fu-TAase-r used in the preparation of rFus p
4.0101 are boxed. doi:10.1371/journal.pone.0103488.g002 doi:10.1371/journal.pone.0103488.g002 *indicates positive IgE-binding as shown in Fig. 1, panel B. doi:10.1371/journal.pone.0103488.t001 Fungal-atopic subjects often demonstrated a parallel and
independent multiple sensitization to many different fungal species
[13,17]. Patients may be sensitized by allergens from individual
fungal species. Their multiple sensitizations could be caused by
IgE cross-reactivity of a particular protein common among various
fungal species. We have observed IgE cross-reactivity among the
vacuolar serine protease major pan-fungal allergens [18,20]. Our
results here indicate that the 37.5 kDa transaldolase is an
important allergen of F. proliferatum. Transaldolases have been
identified as important allergens of prevalent airborne Cladospo-
rium (Cla c 14.0101) and Penicillium (Pen c 35) species [19]. IgE
cross-reactivity between Cla c 14.0101 and Pen c 35 has been
demonstrated [19]. Transaldolase allergens from Cladosporium,
Penicillium and Fusarium species share 67% (217/323 residues)
amino acid sequence identity. Discussion Fungi are prominent sources of allergens. However, they are still
largely neglected in clinical practice and basic research [24]. Allergens of the frequent mold genera including Cladosporium,
Alternaria, Aspergillus and Penicillium have been characterized
and reported [2,3,18–20,24]. Fusarium is among airborne fungi
that contribute to human respiratory atopic disorders worldwide. It is important to well characterize IgE-recognizing Fusarium
components. In this study, among 60 respiratory atopic sera tested,
17
(28%)
demonstrated
IgE-binding
against
nine
different
components from F. proliferatum. The nature of the 43 and
36.5 kDa major F. proliferatum allergens is currently under
investigation and will be published separately (Shen et al.,
manuscript in preparation). The 37.5 kDa component of F. proliferatum has an IgE-binding frequency of 47% (8/17). IgE-
binding against this 37.5 kDa component can be inhibited by a
recombinant F. proliferatum transaldolase (Fig. 4). Our results
indicate that this important 37.5 kDa IgE-binding component is a
F. proliferatum transaldolase. July 2014 | Volume 9 | Issue 7 | e103488 July 2014 | Volume 9 | Issue 7 | e103488 PLOS ONE | www.plosone.org 4 Transaldolase Allergen of Fusarium proliferatum July 2014 | Volume 9 | Issue 7 | e103488 Figure 3. Antigenicity of recombinant F. proliferatum, C. cladosporioides and human transaldolases. (A) Coomassie blue-stained protein
profile of rFus p 4.0101, rCla c 14.0101 and recombinant human transaldolase on PVDF membranes. (B) IgE immunoblot reactivities of these three
recombinant proteins analyzed by using serum samples nos. 1–3 from Fig. 1 (serum nos. 1–3) and nine serum samples from asthmatic patients
(serum nos. 21–29) who showed previously IgE-binding reactvities against rCla c 14.0101 or recombinant human transaldolase. Sera from a non-
atopic healthy individual (serum no. 18) and two house dust mite-sensitized atopic individuals (serum nos. 19 and 20) were included as controls. doi:10.1371/journal.pone.0103488.g003 Fusarium and Cladosporium transaldolase allergens. Results from
IgE-immunoblot inhibition (Fig. 5, panel A) with serum nos. 26
and 28 in Fig. 3 confirmed the presence of IgE cross-reactivity
between Fus p 4.0101 and Cla c 14.0101. Combining with
previous results [19], it is suggestive that IgE cross-reactivity
prevails
among the transaldolase
allergens from Fusarium, Penicillium and Cladosporium species. Similarly, Verma et al. detected allergenic cross-reactivity among the 14 kDa protein
component of three different Fusarium species [28]. In addition,
the 45 kDa F. solani major allergen has allergenic cross-reactivity
with fungal extracts prepared from Alternaria, Cladosporium,
Curvularia and Epicocum species [26]. Furthermore, Hoff et al. also demonstrated IgE cross-reactivity between F. culmorum and
A. alternata allergens [13]. All these results provide important
information in clinical fungal allergy. Fusarium and Cladosporium transaldolase allergens. Results from
IgE-immunoblot inhibition (Fig. 5, panel A) with serum nos. 26
and 28 in Fig. 3 confirmed the presence of IgE cross-reactivity
between Fus p 4.0101 and Cla c 14.0101. Combining with
previous results [19], it is suggestive that IgE cross-reactivity
prevails
among the transaldolase
allergens from Fusarium, Figure 4. Immunoblot inhibition of IgE-binding against nFus p
4.0101 in crude F. proliferatum extracts with purified rFus p
4.0101 and BSA as inhibitors. (A) Coomassie blue-stained protein
profile of F. proliferatum extracts and protein molecular weight markers. (B) IgE binding against the 37.5 kDa component using serum no. 1 from
figure 1B (lane 1); this binding activity was inhibited with 10 mg of rFus
p 4.0101 (lane 2) but not BSA (lane 3). doi:10.1371/journal.pone.0103488.g004 Transaldolase from F. proliferatum, C. cladosporioides and
homo sapiens share 54% (173/322 residues) amino acid sequence
identity. Interestingly, five of the eleven rFus p 4.0101 IgE-positive
sera (serum nos. Transaldolase Allergen of Fusarium proliferatum Our results in Fig. 3 showed that
seven sera have IgE reactivity against both Fus p 4.0101 and Cla c
14.0101 and suggested IgE cross-reactivity exists between the PLOS ONE | www.plosone.org July 2014 | Volume 9 | Issue 7 | e103488 5 Transaldolase Allergen of Fusarium proliferatum Figure 3. Antigenicity of recombinant F. proliferatum, C. cladosporioides and human transaldolases. (A) Coomassie blue-stained protein
profile of rFus p 4.0101, rCla c 14.0101 and recombinant human transaldolase on PVDF membranes. (B) IgE immunoblot reactivities of these three
recombinant proteins analyzed by using serum samples nos. 1–3 from Fig. 1 (serum nos. 1–3) and nine serum samples from asthmatic patients
(serum nos. 21–29) who showed previously IgE-binding reactvities against rCla c 14.0101 or recombinant human transaldolase. Sera from a non-
atopic healthy individual (serum no. 18) and two house dust mite-sensitized atopic individuals (serum nos. 19 and 20) were included as controls. doi:10.1371/journal.pone.0103488.g003 July 2014 | Volume 9 | Issue 7 | e103488 2, 22, 24, 26 and 29) and one of the rCla c
14.0101 IgE-positive serum (serum no. 27) showed IgE-binding to
recombinant human transaldolase (Fig. 3, panel B). Similarly,
among another eight fungal (Cla c 14.0101) transaldolase-positive
sera tested previously, three of them showed IgE-binding against
the recombinant human transaldolase [19]. In this study, IgE
cross-reactivity between Fusarium and human transaldolase was
further demonstrated (Fig. 5, panel B). In literature, evolutionarily
conserved IgE-reactive human antigens corresponding to fungal
and pollen allergens such as profilin, ribosomal P2 protein, and
manganese superoxide dismutase proteins have been reported
[29–31]. Recognition of these human counterparts by IgE
antibodies
might
contribute
to
the
stimulation
of
type
I
hypersensitive reactions in the absence of exogenous allergen
exposure [30]. It might also play a role in certain chronic and
severe allergic disorders [29,31]. Results obtained from this study
provide further evidence in IgE cross-reactivity between an
environmental fungal allergen and its human analogue which
might contribute to disease manifestations. Figure 4. Immunoblot inhibition of IgE-binding against nFus p
4.0101 in crude F. proliferatum extracts with purified rFus p
4.0101 and BSA as inhibitors. (A) Coomassie blue-stained protein
profile of F. proliferatum extracts and protein molecular weight markers. (B) IgE binding against the 37.5 kDa component using serum no. 1 from
figure 1B (lane 1); this binding activity was inhibited with 10 mg of rFus
p 4.0101 (lane 2) but not BSA (lane 3). doi:10.1371/journal.pone.0103488.g004 In conclusion, we identified an important novel transaldolase
allergen of F. proliferatum. In addition, IgE cross-reactivities
between Fusarium and Cladosporium transaldolase allergens as
well as between Fusarium and human transaldolases were July 2014 | Volume 9 | Issue 7 | e103488 July 2014 | Volume 9 | Issue 7 | e103488 PLOS ONE | www.plosone.org 6 Transaldolase Allergen of Fusarium proliferatum Figure 5. Inhibition of IgE-immunoblot reactivity against (A) rCla c 14.0101, (B) recombinant human transaldolase and (C) Der p 7. IgE-immunoblot experiments were carried out with serum nos. 19, 20, 26, 28 and 29 from Fig. 3. Serum was pre-absorbed with the amount of rFus p
4.0101, Der p 7 or BSA as indicated. * indicates not done. doi:10.1371/journal.pone.0103488.g005 Figure 5. Inhibition of IgE-immunoblot reactivity against (A) rCla c 14.0101, (B) recombinant human transaldolase and (C) Der p 7. IgE-immunoblot experiments were carried out with serum nos. 19, 20, 26, 28 and 29 from Fig. 3. Author Contributions Conceived and designed the experiments: HC KGW CCY HDS. Performed the experiments: HC HYT YSC. Analyzed the data: HC
KGW HYT CCY HDS. Contributed reagents/materials/analysis tools:
HC KGW. Wrote the paper: HC KGW CCY MFT HDS. Conceived and designed the experiments: HC KGW CCY HDS. Performed the experiments: HC HYT YSC. Analyzed the data: HC
KGW HYT CCY HDS. Contributed reagents/materials/analysis tools:
HC KGW. Wrote the paper: HC KGW CCY MFT HDS. 10. Chang HN, Lin FM, Chang YF (1984) Correlation of skin test to RAST, and
PRIST in asthma patients. Chin Med J 34: 376–383. Serum was pre-absorbed with the amount of rFus p
4.0101, Der p 7 or BSA as indicated. * indicates not done. doi:10.1371/journal.pone.0103488.g005 demonstrated. Our results provide important information in
clinical fungal allergy. demonstrated. Our results provide important information in
clinical fungal allergy. 9. von Wahl PG, Kersten W (1991) Fusarium and Didymella–neglected spores in
the air. Aerobiologia 7: 111–117. 6. Amend AS, Seifert KA, Samson R, Bruns TD (2010) Indoor fungal composition
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tropics. Proc Natl Acad Sci USA 107: 13748–13753. 8. MH Abu-Dieyeh, R Barham, K Abu-Elteen, R Al-Rashidi (2010) Seasonal
variation of fungal spore populations in the atmosphere of Zarqa area, Jordan.
Aerobiologia 26: 263–276. p
7. Li CS, Hsu LY, Chou CC, Hsieh KH (1995) Fungus allergens inside and outside
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https://openalex.org/W1820383962
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https://ojs.unud.ac.id/index.php/mtk/article/download/7821/5899
|
Indonesian
| null |
PENERAPAN METODE LEAST MEDIAN SQUARE-MINIMUM COVARIANCE DETERMINANT (LMS-MCD) DALAM REGRESI KOMPONEN UTAMA
|
E-Jurnal Matematika
| 2,013
|
cc-by
| 1,585
|
ISSN: 2303-1751 ISSN: 2303-1751 E-Jurnal Matematika Vol. 2, No.4, Nopember 2013, 6- 10 I PUTU EKA IRAWAN1, I KOMANG GDE SUKARSA2,
NI MADE ASIH3 1,2,3Jurusan Matematika FMIPA Universitas Udayana, Bukit Jimbaran-Bali
e-mail: 1ekaone17@yahoo.co.id, 2sukarsakomang@yahoo.co.id, 3asihmath77@gmail.com Keywords: Multicollinearity, Outlier, Principal Component Regression, LMS,
MCD Keywords: Multicollinearity, Outlier, Principal Component Regression, LMS,
MCD PENERAPAN METODE LEAST MEDIAN SQUARE-MINIMUM
COVARIANCE DETERMINANT (LMS-MCD)
DALAM REGRESI KOMPONEN UTAMA I PUTU EKA IRAWAN1, I KOMANG GDE SUKARSA2,
NI MADE ASIH3 1 Mahasiswa Jurusan Matematika FMIPA Universitas Udayana
2,3 Staf Pengajar Jurusan Matematika FMIPA Universitas Udayana Abstract Principal
Component
Regression
is
a
method
to
overcome
multicollinearity techniques by combining principal component analysis with
regression analysis. The calculation of classical principal component analysis is
based on the regular covariance matrix. The covariance matrix is optimal if the
data originated from a multivariate normal distribution, but is very sensitive to
the presence of outliers. Alternatives are used to overcome this problem the
method of Least Median Square-Minimum Covariance Determinant (LMS-MCD). The purpose of this research is to conduct a comparison between Principal
Component Regression (RKU) and Method of Least Median Square - Minimum
Covariance Determinant (LMS-MCD) in dealing with outliers. In this study,
Method of Least Median Square - Minimum Covariance Determinant (LMS-
MCD) has a bias and mean square error (MSE) is smaller than the parameter
RKU. Based on the difference of parameter estimators, still have a test that has a
difference of parameter estimators method LMS-MCD greater than RKU method. 2,3 Staf Pengajar Jurusan Matematika FMIPA Universitas Udayana 1 Mahasiswa Jurusan Matematika FMIPA Universitas Udayana Metode Minimum Covariance Determinant (MCD) Pada Metode ini dicari matriks varians-kovarians dari setiap himpunan
bagian data yang banyak elemennya ℎ′, dengan ℎ′ =
𝑛+𝑝+1
2
. Selanjutnya diantara
matriks varian-kovarians tersebut dipilih yang memiliki determinan terkecil,
dengan 𝑝 menyatakan banyak variabel dan 𝑛 menyatakan banyak pengamatan [1]. Metode Least Median Square (LMS) Salah satu metode regresi robust yang juga sering digunakan dalam analisis
regresi adalah metode LMS (Least Median Square). Metode ini mempunyai
keuntungan untuk mengurangi pengaruh dari sisaan (residual) terhadap
keakuratan koefisien regresi. Penduga LMS diperoleh dengan mencari model
regresi yang meminimumkan median kuadrat sisaan (𝑒𝑖
2) dari himpunan-
himpunan bagian pada data yang masing-masing sebanyak ℎ, dengan 𝑒𝑖
2 =
𝑦𝑖−𝑥𝑖
𝑇𝑏 2 [3]. Nilai ℎ ditentukan dengan menggunakan rumus ℎ=
𝑛
2 +
(𝑝+1)
2
, dengan 𝑛= ukuran sampel (banyaknya data), 𝑝= banyaknya parameter. 1. Pendahuluan Multikolinearitas (multicollinearity) merupakan suatu kondisi pada regresi
linear berganda dengan variable-variabel bebas saling berkorelasi. Regresi
Komponen Utama merupakan metode yang mengatasi multikolinearitas dengan
cara mengombinasikan teknik analisis komponen utama dengan analisis regresi. Pada analisis komponen utama klasik, perhitungannya didasarkan pada matriks
kovarian biasa. Matriks kovarian ini akan optimal apabila data berasal dari suatu
distribusi normal multivariat, tetapi sangat sensitif terhadap adanya pencilan
(oulier) [2]. Alternatif yang digunakan untuk mengatasi masalah ini adalah
Metode Least Median Square-Minimum Covariance Determinant (LMS-MCD). Adapun tujuan dalam penelitian ini adalah melihat nilai bias dan MSE parameter
dari metode RKU setelah matriks kovarian biasa diganti dengan matriks kovarian 6 e-Jurnal Matematika Vol. 2, No. 4, Nopember 2013, 6-10 robust (LMS-MCD). Pada penelitian ini, setelah matriks kovarian biasa yang
digunakan pada RKU diganti dengan matriks kovarian robust (LMS-MCD)
memiliki nilai bias dan mean square error (MSE) parameter lebih kecil
dibandingkan dengan RKU. Berdasarkan selisih penduga parameter dari 100
ulangan, masih ada ulangan yang memiliki selisih penduga parameter dari metode
LMS-MCD yang lebih besar dari metode RKU. 2. Metode Penelitian Data yang digunakan adalah data simulasi yang diperoleh dengan
membangkitkan data yang berdistribusi normal dengan menggunakan bantuan
program R i386 2.15.2. Penyelesaian Analisis Komponen Utama dan Least
Median Square – Minimum Covariance Determinant (LMS-MCD) pada data
yang dibangkitkan menggunakan software MINITAB 15 dan software R i386
2.15.2. Pada simulasi data ini, banyaknya sampel yang digunakan adalah 100
amatan (dinotasikan 𝑛= 100) . Sedangkan presentase pencilan yang digunakan
adalah 10%, 15%, 𝑑𝑎𝑛 20%. Adapun tahapan yang dilakukan dalam penelitian ini adalah sebagai berikut: 1. Membangkitkan nilai sisaan 𝑒 , 𝑋1~ 50,5 , 𝑋2~ 100,10 , 𝑋3~(30,5), 𝑋4 =
𝑋1 + 𝑋3 + 𝑒, Menentukan nilai 𝑌 dengan cara 𝑌= 𝛽0 + 𝛽1𝑋1 + 𝛽2𝑋2 +
𝛽3𝑋3 + 𝛽4𝑋4 + 𝑒. Dimana 𝛽0 = 2 dan 𝛽1 = 𝛽2 = 𝛽3 = 𝛽4 = 1 2. Melakukan regresi komponen utama pada 𝑋1, 𝑋2, 𝑋3, 𝑋4 terhadap Y, sehingga
diperoleh nilai penduga yang fit (𝛽 𝑓𝑖𝑡) dengan menggunakan R i386 2.15.2. 2. Melakukan regresi komponen utama pada 𝑋1, 𝑋2, 𝑋3, 𝑋4 terhadap Y, sehingga
diperoleh nilai penduga yang fit (𝛽 𝑓𝑖𝑡) dengan menggunakan R i386 2.15.2. 3. Membangkitkan pencilan yang berdistribusi 𝑁(40,0.05) sebanyak 10% dari
banyak amatan 𝑛= 100 dengan menggunakan program R i386 2.15.2. dan 3. Membangkitkan pencilan yang berdistribusi 𝑁(40,0.05) sebanyak 10% dari
banyak amatan 𝑛= 100 dengan menggunakan program R i386 2.15.2. dan 7 Penerapan Metode LMS – MCD
dalam Regresi Komponen Utama I Putu Eka Irawan, Komang Gde Sukarsa, Ni Made Asih memasukan pencilan pada data simulasi dengan cara menjumlahkan pencilan
pada masing-masing variabel bebas yaitu 𝑋1, 𝑋2, 𝑋3 memasukan pencilan pada data simulasi dengan cara menjumlahkan pencilan
pada masing-masing variabel bebas yaitu 𝑋1, 𝑋2, 𝑋3 4. Menghitung nilai 𝑌𝑝 dari peubah bebas yang sudah terkontaminasi pencilan. Dengan 𝑌𝑝= 𝛽0 + 𝛽1𝑋1 + 𝛽2𝑋2 + 𝛽3𝑋3 + 𝛽4𝑋4 + 𝑒, 𝛽0 = 2 dan 𝛽1 = 𝛽2 =
𝛽3 = 𝛽4 = 1. 5. Melakukan analisis Regresi Komponen Utama pada data yang sudah
terkontaminasi pencilan dengan menggunakan software R i386 2.15.2
sehingga diperoleh 𝛽 (𝑅𝐾𝑈)𝑝 6. Melakukan analisis data menggunakan R i386 2.15.2 dengan menggunakan
metode Least Median Square – Minimum Covariance Determinant (LMS-
MCD) sehingga diperoleh 𝛽 (𝐿𝑀𝑆−𝑀𝐶𝐷)𝑝 . 7. Ulangi langkah 3 sampai 6 untuk presentase 15%, 20%. 8. Menganalisa dan membandingkan hasil perhitungan Regresi Komponen
Utama dengan Least Median Square-Minimum Covariance Determinant
(LMS-MCD) berdasarkan bias parameter dan Mean Square Error (MSE). 3. Hasil dan Pembahasan Teknik perhitungan analisis komponen utama menggunakan matriks
kovarian biasa. Matriks kovarian ini akan optimal apabila data berasal dari suatu
distribusi normal multivariat. Akan tetapi, matriks kovarian ini sensitif terhadap
adanya pencilan. Apabila pada data terdapat pencilan, maka matriks kovarian
akan kehilangan efisiensinya, sehingga diperlukan suatu matriks kovarian yang
robust terhadap pencilan. Penaksir robust yang digunakan untuk kovarian adalah
Minimum Covariance Determinant (MCD). Setelah matriks kovarian biasa pada
metode RKU diganti dengan matriks kovarian robust, maka diperoleh komponen-
komponen utama yang robust. Selanjutnya komponen-komponen utama yang
robust ini diregresikan terhadap peubah tidak bebas dengan menggunakan metode
Least Median Square. Berikut hasil perhitungan bias parameter dari metode RKU sebelum
matriks kovarian biasa diganti dengan matriks kovarian robust dan sesudah
matriks kovarian biasa diganti dengan matriks kovarian robust (LMS-MCD) yang
disajikan dalam tabel 1. 8 8 e-Jurnal Matematika Vol. 2, No. 4, Nopember 2013, 6-10 Tabel 1. Hasil Perhitungan Bias Parameter untuk 100 kali Ulangan
Presentase Pencilan
Metode
Intercept
PC1
PC2
PC3
PC4
10%
RKU
20,0055
1,2313
0,5453
0,0308 0,4356
LMS-MCD
1,7792
0,0119
0,1443
0,0199 0,3892
15%
RKU
30,0025
1,5189
0,6074
0,3046 0,5959
LMS-MCD
6,7617
0,0883
0,0272
0,0308 0,4804
20%
RKU
40,0035
1,0302
0,2414
1,4092 1,1498
LMS-MCD
13,1999
0,0324
0,0826
0,0673
0,685 Tabel 1. Hasil Perhitungan Bias Parameter untuk 100 kali Ulangan Hasil perhitungan MSE parameter dapat dilihat pada tabel 2. Tabel 2. Hasil Perhitungan Mean Square Error Parameter untuk 100 kali Ulangan
Presentase Pencilan
Metode
Intercept
PC1
PC2
PC3
PC4
10%
RKU
400,222
3,7153
3,2863
0,1961
2,4759
LMS-MCD
6,3224
1,1183
2,7129
0,0523
1,7137
15%
RKU
900,152
3,6949
3,15
0,4917
3,1602
LMS-MCD
48,8361
1,761
2,8019
0,0324
2,0185
20%
RKU
1600,28
2,9369
2,916
2,0797
2,7384
LMS-MCD
176,411
1,8399
2,5413
0,0437
2,1958 Tabel 2. Hasil Perhitungan Mean Square Error Parameter untuk 100 kali Ulangan Berdasarkan Tabel 1 dan 2, terlihat bahwa pada presentase pencilan 10%, 15%,
dan 20% nilai bias parameter dan mean square error (MSE) parameter dari
metode RKU sebelum matriks kovarian biasa diganti dengan matriks kovarian
robust selalu lebih besar dibandingkan dengan nilai bias parameter dan mean
square error (MSE) parameter dari metode RKU sesudah matriks kovarian biasa
diganti dengan matriks kovarian robust (LMS-MCD). Selain itu, perbandingan untuk kedua metode juga dilakukan dengan
menghitung selisih dari penduga parameter yang dihasilkan oleh kedua metode
dengan penduga parameter dari metode RKU pada data tanpa pencilan. 3. Hasil dan Pembahasan Setelah
dilakukan pengulangan 100 kali dan dihitung selisih penduga parameter dari
masing-masing ulangan pada kedua metode, diperoleh bahwa secara umum
metode LMS-MCD lebih bagus daripada metode RKU. 4. Kesimpulan Berdasarkan hasil yang diperoleh dapat disimpulkan, untuk presentase
pencilan 10%, 15%, dan 20% pada data simulasi yang dibuat peubah-peubah
bebasnya bermultikolinearitas menunjukkan bahwa metode RKU sesudah matriks
kovarian biasa diganti dengan matriks kovarian robust (LMS-MCD) menunjukkan
hasil yang lebih baik dibandingkan dengan metode RKU sebelum matriks
kovarian biasa diganti dengan matriks kovarian robust. Untuk penelitian 9 I Putu Eka Irawan, Komang Gde Sukarsa, Ni Made Asih Penerapan Metode LMS – MCD
dalam Regresi Komponen Utama selanjutnya disarankan menambah jumlah ulangan dalam simulasi dan
membandingkan peubah bebas yang dibangkitkan dari sebaran normal yang
mengalami multikolinearitas dengan peubah bebas yang dibangkitkan dari sebaran
data normal multivariat. [3] Rousseeuw, P.J. 1984. Least Median of Square Regresson. Journal of the
American Statistical Association. Daftar Pustaka [1] Aderlina, D. 2011. Metode Minimum Covariance Determinant pada Analisis
Regresi Linear Berganda dengan Kasus Pencilan. Skripsi. Jurusan
Matematika F MIPA Universitas Padjadjaran. [2] Notiragayu. 2008. Pembandingan Beberapa Metode Analisis Regresi
Komponen Utama Robust. Prosiding Seminar Hasil Penelitian dan
Pengabdian kepada Masyarakat, Universitas Lampung. [2] Notiragayu. 2008. Pembandingan Beberapa Metode Analisis Regresi
Komponen Utama Robust. Prosiding Seminar Hasil Penelitian dan
Pengabdian kepada Masyarakat, Universitas Lampung. [3] Rousseeuw, P.J. 1984. Least Median of Square Regresson. Journal of the
American Statistical Association. 10 10
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A Game-Based Approach to Exploring Gender Differences in Smallholder Decisions to Change Farming Practices: White Rice Production in Laos
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Sustainability 2020, 12, 6594; doi:10.3390/su12166594 A Game-Based Approach to Exploring Gender
Differences in Smallholder Decisions to Change
Farming Practices: White Rice Production in Laos Silva Larson 1,*
, Anne (Giger)-Dray 2,3,*
, Tina Cornioley 2,3, Manithaythip Thephavanh 4,5,
Phomma Thammavong 6, Sisavan Vorlasan 7, John G. Connell 8, Magnus Moglia 9
,
Peter Case 8,10
, Kim S. Alexander 8 and Pascal Perez 11 1
School of Science and Engineering, University of Sunshine Coast, Sippy Downs, QLD 4556, Australia
2
Forest Management and Development Group (ForDev), Institute of Terrestrial Ecosystems, ETH Zürich,
CH-8092 Zurich, Switzerland; t.cornioley@gmail.com 1
School of Science and Engineering, University of Sunshine Coast, Sippy Downs, QLD 4556, Australia 1
School of Science and Engineering, University of Sunshine Coast, Sippy Downs, QLD 4556, Australia
2
Forest Management and Development Group (ForDev), Institute of Terrestrial Ecosystems, ETH Zürich,
CH-8092 Zurich, Switzerland; t.cornioley@gmail.com g
g
y
ppy
2
Forest Management and Development Group (ForDev), Institute of Terrestrial Ecosystems, ETH Zü
CH-8092 Zurich, Switzerland; t.cornioley@gmail.com 3
Institute of Terrestrial Ecosystems (ITES), ETH Zürich, CH-8092 Zurich, Switzerland
4
School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA 5064, Australia;
thephavanh.mntt@gmail.com 3
Institute of Terrestrial Ecosystems (ITES), ETH Zürich, CH-8092 Zurich, Switzerland
4
School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA 5064, Australia;
thephavanh.mntt@gmail.com 5
National Agriculture and Forestry Research Institute (NAFRI), Nongviengkham Village, Xaythany Distric
Vientiane Capital P.O. Box 7170, Laos 5
National Agriculture and Forestry Research Institute (NAFRI), Nongviengkham Village, Xaythany District,
Vientiane Capital P.O. Box 7170, Laos 6
Faculty of Agriculture, National University of Laos, Nabong Campus, Pakxap-Mai Villag
Xaythany District, Vientiane Capital P.O. Box 7322, Laos; phommath@gmail.com Faculty of Agriculture, National University of Laos, Nabong Campus, Pakxap-Mai Vi
Xaythany District, Vientiane Capital P.O. Box 7322, Laos; phommath@gmail.com y
g
y
g
p
p
g
Xaythany District, Vientiane Capital P.O. sustainability sustainability sustainability sustainability 1. Introduction What influences farmers’ decisions to adopt introduced agricultural technologies is a central
question for international agricultural research projects. Smallholder farmers in Lao People’s Democratic
Republic (Lao PDR), like many others in developing countries, are facing transformative changes in
their traditional agriculture-based livelihoods. With approximately 62% of labour contributing to
the agriculture sector, Lao PDR is still highly dependent on agriculture [1]. However, processes of
intensification of agriculture, market integration, industrialization and urbanization are underway [2–6]. Smallholder family farming, understood as a household which combines family, farm and
commercial activity, still represents the backbone of the world’s agriculture [7]. Traditionally, subsistence
farming was predominant in Laos, with smallholders dependent on cultivatable land for rice and
livestock husbandry, whilst other nontimber forest and river products are used as supplementary food
sources and marketable goods [8–10]. Some 72% of the total cultivated land area is dedicated to rice
production with the traditional glutinous (“sticky”) rice varieties, preferred for local consumption
and providing almost 70% of calorie and protein intake [11]. To improve rural livelihoods, however,
the Lao government is encouraging farmers to move to commercial agricultural production, with plans
to increase both rice yield per hectare and production of nonglutinous (“white”) rice varieties;
those demanded by major export markets, e.g., China. The key decision for farmers is whether
to continue traditional production of the “sticky” rice and ensure family sustenance or adopt the
production of “white” rice for the market; the latter option potentially bringing substantial financial
benefits. The flip side of the switch to white rice is the threat it carries to preferred subsistence food
for the family. Decisions on household agricultural practices are being made in the larger context of
industrialization and urbanization, with nontraditional off-farm and nonfarming activities becoming
integral to the way that households generate income [12–15]. Women are a vital part of the agriculture sector in Lao PDR, contributing to every aspect
of agricultural production [16]. Similar to other emerging economies in Southeast Asia [17] and
elsewhere [18–21], the division of labour in smallholder households is gendered, and men and women
tend to have different roles and responsibilities. In the rural agricultural context of Lao PDR, data are
available that describe the differences between male- and female-headed households, but little is known
about the role and contribution of rural women within male-headed households or the decision-making
process in such households [22]. A Game-Based Approach to Exploring Gender
Differences in Smallholder Decisions to Change
Farming Practices: White Rice Production in Laos Box 7322, Laos; phommath@gmail.com 7
Provincial Agriculture and Forestry Office, Thameung Village 13000, Kaysone Phomvihane District
Savannakhet Province, Laos; tee.vorlasan@yahoo.com avannakhet Province, Laos; tee.vorlasan@yahoo.com 8
College of Business, Law and Governance, James Cook University, Douglas, QLD 4811, Australia;
john.connell@jcu.edu.au (J.G.C.); peter.case@jcu.edu.au (P.C.); kim.alexander56@gmail.com (K.S.A.) 9
Center for Urban Transitions, Faculty of Arts, Social Sciences and Humanities, Swinburne University of
Technology, Hawthorn, VIC 3122, Australia; mmoglia@swin.edu.au nter for Urban Transitions, Faculty of Arts, Social Sciences and Humanities, Swinburne University of
h
l
H
h
VIC 1
A
l
l @
d 10
Bristol Business School, University of the West of England (UWE), Bristol BS16 1QY, UK SMART Infrastructure Facility, Faculty of Engineering and Information Sciences, University of Wollongong
Northfields Av, Wollongong, NSW 2522, Australia; pascal@uow.edu.au *
Correspondence: silva.larson@gmail.com (S.L.); anne.dray@usys.ethz.ch (A.D.) Received: 7 July 2020; Accepted: 8 August 2020; Published: 14 August 2020 Abstract: What influences farmers’ decisions to adopt agricultural technologies is an important
question for international agricultural research projects. There are often interpersonal differences
between women and men that influence the adoption of decisions and behaviours, but few studies in
the literature focus on these factors. We describe a game-based approach to explore decision-making
processes underpinning the adoption of new farming technologies and practices in Lao People’s
Democratic Republic. Sowing a different rice variety is the tailored technology. The game explored
adoption behaviours influencing decisions on transitioning from growing glutinous rice, a traditional
variety preferred for consumption, to “white” rice for commercial export to international markets. We conducted separate game-workshops with 36 women and 36 men in 4 villages of southern
Laos that were transitioning from subsistence to commercial smallholder production. The gaming
exposed various possible behaviours and decisions that women and men considered. Access to
resources, both assets and information, was equal for all players, yet women were found to adopt
new rice varieties more readily than men and to engage in cooperative behaviours in the game
situation. The study highlighted the need for further gender-sensitive research into cooperation
among women in the agricultural context—an understanding beneficial for countries and regions
undergoing agricultural transition. Sustainability 2020, 12, 6594; doi:10.3390/su12166594 www.mdpi.com/journal/sustainability www.mdpi.com/journal/sustainability 2 of 22 Sustainability 2020, 12, 6594 Keywords: gender; rural development; role-playing game; Laos; adoption; agrarian transition:
Companion Modelling Keywords: gender; rural development; role-playing game; Laos; adoption; agrarian transition:
Companion Modelling 1. Introduction Games also serve as models of strategic situations, allowing participants to anticipate the
consequences of actions or decisions [35]. By posing challenges and confronting players with complex
situations, games can act as a reality check, whereby participants revisit their pre-existing assumptions,
preconceived perceptions, values and knowledge regarding how the “system” works currently as well
as how it should work or might work in the future [38,39]. Games, when carefully facilitated, operate
as “safe spaces” where participants can voice their motivations behind the plurality of their livelihood
strategies, and the drivers and thought-processes that influence how they react or adapt to changes,
without fear of direct consequences or repercussions in the real world [44,45]. Role-playing games have been used in the past to explore agrarian transition and facilitate
understanding of farmers’ decision making [46–49]. However, this approach has been underutilized to
study the impact of gender in agriculture and landscapes changes [50]. Research techniques commonly
used for gender analyses include focus groups, wealth ranking and semistructured or structured
interviews [51]. Villamor et al. [52] have expanded the methodological repertoire and broken new
ground by using role-playing games to analyse gender differences in forestry research. In this paper,
we transpose a similar game-based approach to analyse the influence of gender on the adoption of
new technologies and farming practices. We report on our investigation of adoption behaviours as
complex decision-making processes, using a participatory role-playing game following the Companion
Modelling approach [53]. Central to this approach is the coconstruction of the models or games with
local experts and stakeholders through an iterative process. In this paper, we aimed to understand and compare the decision-making process and behavioural
choices of men and women in a context of agricultural innovations. To do so, we explored the different
adoption behaviours when men and women are confronted with several new farming practices and
technologies. The specific technological intervention we used to explore adoption behaviours is the
transition from growing glutinous (“sticky”) rice for home-consumption to growing “white” rice (Hom
Savanh variety) for sale to international markets. To explore the viability, possible implications and
likelihood of this transition, we developed and undertook tailored game workshops to elicit specific
behaviours that prevent or facilitate adoption by smallholder farmers of “white” rice for export to China. Gender-specific workshops were conducted with 72 smallholder farmers (36 females and 36 males)
in four villages of southern Laos. 1. Introduction Rapid and uneven economic growth occurring in Southeast Asian
countries over recent decades has resulted in new and challenging inequities between social groups
and between men and women [23]. There are many examples of young men and women migrating for
wages and remittances [24–26], with young migrant women becoming the industrial working class of
Southeast Asian cities [23]. Understanding specific farmers’ behaviours that would prevent or facilitate the adoption of
introduced agricultural technologies is important, particularly in terms of understanding possible
future farm management scenarios. Ambitious targets for increasing agricultural production and
international exports set by the Lao government are based on the premise that agricultural productivity
can be boosted by changed farming practices. Modification of farming practices through the adoption
of technologies often occurs at a much slower rate than hoped [27–32]. The current low adoption rates
of new technologies [33], including white rice production, suggest that more needs to be understood
about how farmers decide on their production goals and how the offered technologies might fit with
such goals [12]. Recognizing the central role of gender in the process of agrarian and also a wider
societal transition in Lao PDR, we argue for the need to explore the differences in behaviours between
rural women and men. Sustainability 2020, 12, 6594 3 of 22 The adoption of new practices results from a complex decision process involving empirical
knowledge and individual beliefs, perceptions and interests, combined with personal or collective assets
in relation to the institutional context. Nonetheless, understanding decision-making processes, and the
necessary intermediate step of eliciting mental models, is a challenging task. Game-based approaches
have become a popular means in the field of social–ecological research to study decision-making
processes [34,35] and to understand the heterogeneity of mental model constructs [36]. Garcia et al. [35]
argue that role-playing games can help to elicit mental models and illustrate decision-making through
concrete representations of the needs, constraints and aspirations of stakeholders. Games allow
participants to grasp information more easily [37], empower local communities, elicit local knowledge
and decision-making processes [38–40] and illuminate complex socio-ecological systems [41,42]. In addition, games allow researchers to better understand how people devise strategic decisions when
confronted with complex, sometimes conflicting and uncertain situations. Sensitive issues, such as
illegal activities or corruption, that would rarely be communicated in traditional interviews, can emerge
implicitly and explicitly during a game session [36,43]. 2.1. Study Context and Game Participants This study was part of a wider research project [55] in which qualitative and quantitative data
were collected to better understand the issues implicated in the adoption of new technologies in two
provinces of southern Laos: Savannakhet and Champasak. The southern provinces are crucial to the
Lao PDR government’s agricultural strategy and planning as they are the site of seven large plains that
have been designated as “suitable for intensive crop production”. The research study undertaken in
these provinces involved over 950 participants, including 900 farmers and 50 stakeholders involved in
data collection exercises [12,14,56–58]. Livelihoods of farmers in selected villages participating in the study were based on rice production
and livestock as sources of sustenance and income, with additional income from off-farm work. Using a
Bayesian network analysis, Moglia et al. [14] found that the key opportunities important for improving
rice farming practices and increasing “white” rice production in this area were: (1)
The use of direct seeding machines that allow farmers to significantly reduce the time required to
plant their fields, and hence opens up options for alternative uses of labour. There were several
technical concerns about the suitability of direct seeding approaches in terms of its applicability
in some geographical areas and resultant weed intrusion. (1)
The use of direct seeding machines that allow farmers to significantly reduce the time required to
plant their fields, and hence opens up options for alternative uses of labour. There were several
technical concerns about the suitability of direct seeding approaches in terms of its applicability
in some geographical areas and resultant weed intrusion. 2)
Access to the market and cooperative agreements between traders and farmer groups, to m
order requirements. (3)
The proper application of fertilizer necessary to increase yields. The soils in the area are generally
of poor quality and fertilizer is often inadequately applied. The above-mentioned factors served as a basis to create the game elements, as described in the
next section. In addition to data collected in the wider project, secondary data [59–63] were used to
create the context of the game. Realistic game scenarios were constructed in consultation with a range
of experts and in reference to the literature. A total of eight game workshops were undertaken in four villages—Thouat, Phonthong,
Alan Wattana and Nonokkhien—located in Savannakhet Province. Overall, 72 smallholder farmers
(36 men and 36 women) participated. 2.1. Study Context and Game Participants Provincial and district agricultural extension officers made all
local arrangements, particularly appointments with the village head and stakeholder contacts. In each
village, two game sessions took place, one with male participants in the morning and the other with
female participants in the afternoon. Each game session lasted 3 h on average. The selection of the
participants was facilitated by the Lao Ministry of Agricultural and Forestry officers and the national
research team. Most female participants were aged between 41–60 years with the second-highest
participant rate in the 25–40 years age group. Male participants were mostly aged 41–60 years and
25–40 years, but more men over 60 years participated than in the women’s groups. Overwhelmingly,
men identified themselves as the head of the family with only a few sons, a son-in-law and a grandfather
involved. Women mainly identified as the housewife, but 20% of women identified as the head of
the family. 1. Introduction The gaming workshop allowed participants to examine possible
consequences of selecting a new technology (white rice variety) in a no-risk, virtual manner [54]. We specifically explored: (1) potential differences in incomes achieved; (2) technical production choice
(patterns of adoption); (3) the role cooperation plays in reaching targets or maximizing outcomes. In the next section, we introduce the context of rice production in Laos, the participants’ profiles,
the game elements and the statistical methods employed to analyse the data. We then present the
results across three indicators (income, production choices and cooperation) by comparing the male 4 of 22 Sustainability 2020, 12, 6594 and female game sessions. Finally, we discuss the implications for gender-sensitive studies of adoption
of new farming practices and the role women play in regions undergoing agricultural transition. 2.2. Game Development A game in the form of “table top” role-playing was developed to mimic an archetypal village in
the rice belt of Laos. The purpose of the study was to better understand the gender-specific interactions
between farmers, extension officers and traders when being introduced to new technologies and
farming practices. The game was designed to confirm key issues identified during research activities
that seem to prevent many farmers from adopting new technologies proposed by extension services. 5 of 22 Sustainability 2020, 12, 6594 During the workshop (Figure 1), the participants, in teams of 2 players, made decisions to manage
a virtual farm in the face of future seasonal scenarios, with access to a suite of rice crops and farm
production options. Players were provided with information about the cost of each option and
expected returns or benefits. The objective of the game was to demonstrate conditions under which
new technologies could be adopted by a large number of farmers and how farmers, traders and
extension officers could work together to ensure the uptake of new technologies. The games were centred on switching traditional “sticky rice” production to “white rice” for
commercial sale. Players were also presented with the option of growing an “improved sticky rice”
variety to create a portfolio of choices and options (and move away from a purely binary system of
sticky rice versus white rice). As the game unfolded, players could also access a set of accompanying
appropriate technologies such as farm machinery (direct seeding machine) and fertilizers. During the game, details were provided about the new technologies, weather forecasts and
changing prices of commodities. At the end of each decision-making period, and again, at the end of
each game year, players reviewed and discussed the consequences of their decisions on farm profitability
and improvement (or not) to their livelihoods. All game sessions were directly followed by a debriefing
phase when players were given the opportunity to reflect on the gaming experience [45]. The debriefing
was typically structured around the following questions: “how do you feel?”, “what happened during
the game?”, “why did it happen?”, “what would you do differently?”, “how is the game reflecting
(or not) your reality?” Game sessions were run by trained facilitators and presented in Lao language. Hereafter, we detail the players’ profiles and their objectives, the gamescape (i.e., the landscape of
the game board) and the sequence of actions taken by players. 2.2.1. Player’s Profiles and Objectives The game included three different players’ profiles: farmers, agricultural extension services and
traders. The game was tailored to be played by 7 teams as follows: The game included three different players’ profiles: farmers, agricultural extension services and
traders. The game was tailored to be played by 7 teams as follows: •
Five teams of farmers (with 2 participants per team when available): players were practicing male
and female farmers from the participating villages. They all had experience with growing sticky
rice, and white rice was grown in the villages by some but not all of them. The objective of each
farmer’s team was to feed her/his family and pay “taxes” to cover school, health and electricity
expenses. To be able to do so, farmers had to produce rice (either sticky, improved variety or
white rice) and earn money tokens. They could also sell their livestock or send their labour forces
(i.e., labour tokens) to Thailand. •
A team of extensionists: players on this team were the local District Agriculture and Forestry
Officers; hence, they were familiar with the participating village’s production and socio-cultural
systems. They were also familiar with the new technologies being proposed in the game, as these
technologies were selected based on their “real life” relevance. The extension officers’ team
was given “the mission” to convince as many farmers as possible to adopt one (or more) of the
following new technologies: (1) switching to “improved sticky rice”, (2) use of direct seeding
machine and (3) use of high quality fertilizer. To encourage the uptake of new technologies,
extension officers could distribute free “technical packages” (such as free fertilizer or use of the
direct seeding machines); however, the distribution of “goods” for free per round was limited due
to the limited (imaginary) budget of the District Agriculture and Forestry Office. No rules were
set on how to distribute these “goods”; it was entirely up to the extension officers to decide on
the process. A trader: this was the only role in the game that was not played by the “actual” actor. Rather,
the role of the trader was scripted and performed by a member of the research team. Her/his job
was to sell inputs and new technologies, such as improved sticky rice seeds, white rice seeds,
fertilizer, direct seeding machine and cattle and fodder, to the farmer, enabling the farmer to make
management and adoption choices. 2.2.2. The Gameboard
2 2 2 The Gameboard The game consisted of five individual gameboards—one for each participating farmer team of two
players—that in their entirety embodied a typical village in the area under study and its surrounding
farmland during the rainy season. A single board represented one farm and consisted of the following
seven zones (from bottom to top, Figure 1b):
The game consisted of five individual gameboards—one for each participating farmer team of
two players—that in their entirety embodied a typical village in the area under study and its
surrounding farmland during the rainy season. A single board represented one farm and consisted
of the following seven zones (from bottom to top, Figure 1(b).): 1. An irrigated rice paddy field located near the river (lowest area on the board). It had plenty of
water, but in years with too much rain, it could be flooded. 1. An irrigated rice paddy field located near the river (lowest area on the board). It had plenty of
water, but in years with too much rain, it could be flooded. 2. Another irrigated paddy field, but in years with a low amount of rain, the irrigation system could
not provide enough water to this area. water, but in years with too much rain, it could be flooded. 2. Another irrigated paddy field, but in years with a low amount of rain, the irrigation system
could not provide enough water to this area. 3. A rainfed paddy field, where rice production depended on the quantity of rainfall during the
rainy season. The soil was good. p
g
3. A rainfed paddy field, where rice production depended on the quantity of rainfall during the
rainy season. The soil was good. 4. Another rainfed paddy field, where rice production depended on the quantity of rainfall during
the rainy season. This area had bad soil. y
g
4. Another rainfed paddy field, where rice production depended on the quantity of rainfall during
the rainy season. This area had bad soil. 5. Grazing land near the farm. y
5. Grazing land near the farm. 6. The farmhouse. 6. The farmhouse. 7. This is a special area; it represented a factory in Thailand where players could send their family
members (in the form of labour pawns) for off-farm income. 7. 2.2.1. Player’s Profiles and Objectives The trader appeared at the beginning of each round when
he/she would pay a visit to the village. The trader re-appeared at the end of each turn and could A trader: this was the only role in the game that was not played by the “actual” actor. Rather,
the role of the trader was scripted and performed by a member of the research team. Her/his job
was to sell inputs and new technologies, such as improved sticky rice seeds, white rice seeds,
fertilizer, direct seeding machine and cattle and fodder, to the farmer, enabling the farmer to make
management and adoption choices. The trader appeared at the beginning of each round when
he/she would pay a visit to the village. The trader re-appeared at the end of each turn and could 6 of 22 Sustainability 2020, 12, 6594 purchase the outputs from the farmers (rice, cattle). The trader fixed the prices and expected
quantities for the white rice at the start of the game. tainability 2020, 12, x FOR PEER REVIEW
6 of 23 purchase the outputs from the farmers (rice, cattle). The trader fixed the prices and expected
quantities for the white rice at the start of the game. stainability 2020, 12, x FOR PEER REVIEW
6 of 23 2.2.3. Rounds and Sequence of Events
2.2.3. Rounds and Sequence of Events Each round of the game represented one year, with only the rainy season being actively played,
reflecting an annual single wet season crop from paddy production. Each gaming session consisted
of five rounds (corresponding to 5 years). A description of the game elements and the sequences of
events can be found in Appendix A. The game rules were as follows:
Each round of the game represented one year, with only the rainy season being actively played,
reflecting an annual single wet season crop from paddy production. Each gaming session consisted
of five rounds (corresponding to 5 years). A description of the game elements and the sequences of
events can be found in Appendix A. The game rules were as follows: •
Rainfall: The timing of weather events was scripted and was identical across all workshops. The
weather conditions were either ”good” or ”bad”, leading to different yields on the rainfed fields. ”Good” meant positive yields (corresponding to an average wet season), and ”bad” meant
reduced yields (corresponding to a year with little rain). Additionally, floods could occur,
influencing the lower irrigated rice paddy. Rounds 1, 3 and 5 were good rainy years, round 2
was a year with little rain, while flooding occurred in round 4. •
Rainfall: The timing of weather events was scripted and was identical across all workshops. The weather conditions were either “good” or “bad”, leading to different yields on the rainfed
fields. “Good” meant positive yields (corresponding to an average wet season), and “bad”
meant reduced yields (corresponding to a year with little rain). Additionally, floods could occur,
influencing the lower irrigated rice paddy. Rounds 1, 3 and 5 were good rainy years, round 2 was
a year with little rain, while flooding occurred in round 4. y
,
g
•
Players’ tokens and actions: Farmers started with two types of tokens: labour pawns and money. Each farmer received eight labour pawns, with one pawn representing approximately 10 days
work and eight money tokens of 500,000 Lao Kip each (~USD 55). Players could allocate labour
entirely to one activity or a combination of: (1) rice cultivation on one of the four fields; (2) cattle
herding; (3) off-farm work in Thailand; or (4) staying at home. •
Players’ tokens and actions: Farmers started with two types of tokens: labour pawns and money. 2.2.2. The Gameboard
2 2 2 The Gameboard This is a special area; it represented a factory in Thailand where players could send their
family members (in the form of labour pawns) for off-farm income. (a)
Figure 1. Cont. (a) Figure 1. Cont. 7 of 22
7 of 23 Sustainability 2020, 12, 6594
Sustainability 2020, 12, x FOR (b)
Figure 1. (a) Alan Wattana session with women paired in teams of 2; (b) single board for ”blue” player
with the 7 areas (labelled from 1 to 7) and recording decisions grid filled by the observer. 1
2
3
4
5
6
7
Figure 1. (a) Alan Wattana session with women paired in teams of 2; (b) single board for “blue” player
with the 7 areas (labelled from 1 to 7) and recording decisions grid filled by the observer. (b) Figure 1. (a) Alan Wattana session with women paired in teams of 2; (b) single board for ”blue” player
with the 7 areas (labelled from 1 to 7) and recording decisions grid filled by the observer. Figure 1. (a) Alan Wattana session with women paired in teams of 2; (b) single board for “blue” player
with the 7 areas (labelled from 1 to 7) and recording decisions grid filled by the observer. 2.2.4. Scenarios and the Special Focus on White Rice In each round, farmers had to allocate their labour/resources across their land plots and on
the Thailand plot in case they opted for off-farm income. As detailed in 2.2 (above), the technical
innovations that could occur in the game were based on the previous project findings, literature and
consultations with the stakeholders and included the use of fertilizers, improved rice varieties and
direct seeding machine. Technical innovations were introduced by the extension team along with the
provision of sample inputs they could give to one of the five farmers’ teams of their choice. These were
also available for sale by the trader. From rounds 2 to 4, a different climatic or economic scenario that would affect outcomes was
introduced: drought in round 2 (lower yields on rainfed soils), global financial crisis in round 3
(no off-farm income), flood in round 4 (no yield on lower paddy). Additionally, from round 3 onwards, the economic scenario of interest was the traders’ pressure
and opportunity to sell “white rice” to the market. The trader offered the player a premium price if they
could collectively produce a minimum of 29 bags of “white rice”. This threshold was established during
the game calibration and crash-tests. Note that this scenario directly conflicted with the extensionist
objective of promoting an improved rice variety for food security. 2.2.3. Rounds and Sequence of Events
2.2.3. Rounds and Sequence of Events Each farmer received eight labour pawns, with one pawn representing approximately 10 days
work and eight money tokens of 500,000 Lao Kip each (~USD 55). Players could allocate labour
entirely to one activity or a combination of: (1) rice cultivation on one of the four fields; (2) cattle
herding; (3) off-farm work in Thailand; or (4) staying at home. 8 of 22 Sustainability 2020, 12, 6594 •
Rice cultivation: Players chose between the traditional sticky rice, improved sticky rice and white
rice. The game started with traditional sticky rice production only. In year two, improved sticky
rice, which produced 1.5 more bags of rice than its traditional counterpart, was also available. White rice for the sale (commercial) production option was introduced into the game from year 3
onwards. Farmers could also choose to use external inputs, including a direct seeding machine
(reducing workload) and fertilizers. •
Cattle fattening: Each farmer initially received one cow token. Cattle could have 4 stages of
fattening, represented by the fields coloured on the cow-card. The farmers could choose to fatten
their cattle. To do so, they could either place the cow token on a grazing area or feed the cow
token with fodder bought from the trader. If fattening the cattle, they had to allocate one labour
pawn to remain with the cow token. The price received at sale depended on the stage of fattening
of the cow token. •
Players’ income: Players could generate income by selling rice, cattle or working off-farm. Sticky
rice (whether from a traditional or improved seed) was sold for the fixed price of 1 unit of money
per bag of rice. White rice was sold for the same price, except when all the players succeeded in
cumulatively producing at least 29 bags of white rice. In this case, they could sell white rice for a
price premium of 1.5 unit of money per bag of rice. 2.2.4. Scenarios and the Special Focus on White Rice 2.3. Data Analysis Player’s decisions were documented throughout the game (Figure 1). Each pair of players’ income
from sticky rice, white rice, off-farm work and selling cattle, as well as their total income, were recorded
at each round. We also recorded at the end of each round: the rice type cultivated on each plot;
fertilizer use; the cumulative number of bags of white rice produced; the cumulative number of direct
seeding machines owned (DS machine owned); the fraction of those that were shared (DS machine
sharing). Placement of these resources and the outcome of each season were carefully documented
using a decision grid (Figure 1). The grid provided a numerical dataset that was used to analyse
behavioural patterns. 9 of 22 Sustainability 2020, 12, 6594 We fitted six linear mixed-effects (lme) models to explore potential differences in strategies and
outcomes between men and women over 5 rounds to account for the random effects of the village and
player ID (i.e., the team colour). One model was fitted for each response variable of interest, namely
total income, white rice income, sticky rice income, production of white rice, DS machine owned and
DS machine sharing. The analyses were performed in R [64] with the lme4 package [65]. When the
response variable was measured per round, per village and per player, we accounted for the random
effects of the village and player ID nested within the village. When the response variable was measured
per round, per village and not per player, then we accounted for only one random effect: village. To explore differences in income, we considered the fixed effects of the round of the game (rounds 1–5),
gender and their interaction. For the models “white rice income” and “sticky rice income”, we further
accommodated a quadratic effect of the round of the game and its interaction with gender. For the models “white rice production”, “DS machine owned” and “DS machine sharing”,
we accounted for a fixed effect for round and gender but not their interaction, as including the
interaction led to model overfitting. We fitted a lme model with a Poisson distribution for “DS machine
owned” and binomial logistic regression for “DS machine sharing”. For the other lme models, we used
a Gaussian distribution. We additionally fitted two fixed-effect-only binomial logistic regressions
instead of mixed effect models, as the same models with random effects did not converge [66]. 3. Results We reported on the following variables of interest from the “table top” role-playing game: income,
production choices (adoption in terms of technical decision-making patterns—plot selection and use of
fertilizer) and the role cooperation plays in maximizing outcomes. A number of other game elements,
as presented in Appendix A, is not reported here, as no differences between male and female reactions
were noted. We do, however, encourage further explorations of such themes. Statistics of the results
presented here, and additional figures can be found in Appendix B. 2.3. Data Analysis To investigate potential differences between men and women in white rice cultivation, we fitted a
model on white rice cultivation explained by gender, round, plot properties and all possible two-way
and three-way interactions. We further fitted a regression on fertilizer use to assess the probability of
using fertilizer on a plot depending on gender, round, plot properties and rice type. Interactions were
not considered because of overfitting. 3.1. Income The income of both men and women increased over time and women achieved a higher income
than men as the game progressed (Figure 2: intercept (men) = 3.760, se = 1.366, intercept (women vs. men) = −0.821, se = 1.520, slope (round) = 2.700, se = 0.323, slope (round women vs men) = 0.906,
se = 0.460). Figure 2 shows the output of the mixed-effect linear model with a Poisson distribution
including Gender and Round as fixed effects, and village and players nested within the village as
random effects. 10 of 22
10 of 23 Sustainability 2020, 12, 6594
Sustainability 2020, 12, x FOR Figure 2. Income per player over rounds for men (20 teams) and women (20 teams). The dots represent
not one observation but a group of observations sharing the same values. The size of the dot is
proportional to the number of observations (n) with the same x and y values. Some of the dots for
males are behind the dots for females (see transparency). The lines are predictions from a linear mixed
effect model while the grey ribbons represent the corresponding 95% confidence intervals from the
fixed effects. Figure 2. Income per player over rounds for men (20 teams) and women (20 teams). The dots represent
not one observation but a group of observations sharing the same values. The size of the dot is
proportional to the number of observations (n) with the same x and y values. Some of the dots for
males are behind the dots for females (see transparency). The lines are predictions from a linear mixed
effect model while the grey ribbons represent the corresponding 95% confidence intervals from the
fixed effects. Figure 2. Income per player over rounds for men (20 teams) and women (20 teams). The dots represent
not one observation but a group of observations sharing the same values. The size of the dot is
proportional to the number of observations (n) with the same x and y values. Some of the dots for
males are behind the dots for females (see transparency). The lines are predictions from a linear mixed
effect model while the grey ribbons represent the corresponding 95% confidence intervals from the
fixed effects. Figure 2. Income per player over rounds for men (20 teams) and women (20 teams). The dots represent
not one observation but a group of observations sharing the same values. 3.1. Income The size of the dot is
proportional to the number of observations (n) with the same x and y values. Some of the dots for
males are behind the dots for females (see transparency). The lines are predictions from a linear mixed
effect model while the grey ribbons represent the corresponding 95% confidence intervals from the
fixed effects. Exploring the income outcomes more closely, we checked the money units generated from four
sources of income (Figure 3): white rice (mean = 5.04 money units, sd = 5.84); sticky rice (mean = 4.80
money units, sd = 3.20); selling cattle (mean = 2.00 money units, sd = 2.73); off-farm workers (mean =
0.87 money units, sd = 1.09). We observed that before white rice was introduced in round 3, traditional
”sticky” rice (Figure 3c) was the main source of income for both men and women. White rice was
introduced in round 3, and from then on, the majority of players’ income stemmed from white rice
(Figure 3d). The income generated by selling cattle (Figure 3a) and from off-farm workers (Figure 3b)
was marginal compared to income from selling white rice. Therefore, we only further investigated
the trends in income from sticky rice (traditional and improved) and white rice. Exploring the income outcomes more closely, we checked the money units generated from
four sources of income (Figure 3): white rice (mean = 5.04 money units, sd = 5.84); sticky rice
(mean = 4.80 money units, sd = 3.20); selling cattle (mean = 2.00 money units, sd = 2.73); off-farm
workers (mean = 0.87 money units, sd = 1.09). We observed that before white rice was introduced in
round 3, traditional “sticky” rice (Figure 3c) was the main source of income for both men and women. White rice was introduced in round 3, and from then on, the majority of players’ income stemmed
from white rice (Figure 3d). The income generated by selling cattle (Figure 3a) and from off-farm
workers (Figure 3b) was marginal compared to income from selling white rice. Therefore, we only
further investigated the trends in income from sticky rice (traditional and improved) and white rice. 11 of 22
11 of 23 Sustainability 2020, 12, 6594
Sustainability 2020 12 x FOR Figure 3. 3.1. Income The income
generated from selling cattle in round 1 and the income from white rice in rounds 1 and 2, was zero
because those options were not yet available to players. Figure 3. Boxplots of the observed income of players generated by four different sources of income,
per round and gender, all villages cofounded, (a) from selling cattle, (b) from off-farm workers, (c)
from sticky rice, whether standard or improved, (d) from white rice. The income from off-farm
workers was zero in round 3, because in this round, workers sent off-farm failed to secure
employment. The income generated from selling cattle in round 1 and the income from white rice in
rounds 1 and 2, was zero because those options were not yet available to players. Figure 3. Boxplots of the observed income of players generated by four different sources of income,
per round and gender, all villages cofounded, (a) from selling cattle, (b) from off-farm workers, (c) from
sticky rice, whether standard or improved, (d) from white rice. The income from off-farm workers was
zero in round 3, because in this round, workers sent off-farm failed to secure employment. The income
generated from selling cattle in round 1 and the income from white rice in rounds 1 and 2, was zero
because those options were not yet available to players. There was no discernible difference in the increasing trend of income generated by sticky rice
over time between men and women (Figure 3c). Women achieved a higher income from white rice
than did men once white rice became available in the rounds (Figure 3d). There was no discernible difference in the increasing trend of income generated by sticky rice
over time between men and women (Figure 3c). Women achieved a higher income from white rice
than did men once white rice became available in the rounds (Figure 3d). There was no discernible difference in the increasing trend of income generated by sticky rice
over time between men and women (Figure 3c). Women achieved a higher income from white rice
than did men once white rice became available in the rounds (Figure 3d). There was no discernible difference in the increasing trend of income generated by sticky rice
over time between men and women (Figure 3c). Women achieved a higher income from white rice
than did men once white rice became available in the rounds (Figure 3d). 3.1. Income Boxplots of the observed income of players generated by four different sources of income,
per round and gender, all villages cofounded, (a) from selling cattle, (b) from off-farm workers, (c)
from sticky rice, whether standard or improved, (d) from white rice. The income from off-farm
workers was zero in round 3, because in this round, workers sent off-farm failed to secure
employment. The income generated from selling cattle in round 1 and the income from white rice in
rounds 1 and 2, was zero because those options were not yet available to players. Figure 3. Boxplots of the observed income of players generated by four different sources of income,
per round and gender, all villages cofounded, (a) from selling cattle, (b) from off-farm workers, (c) from
sticky rice, whether standard or improved, (d) from white rice. The income from off-farm workers was
zero in round 3, because in this round, workers sent off-farm failed to secure employment. The income
generated from selling cattle in round 1 and the income from white rice in rounds 1 and 2, was zero
because those options were not yet available to players. Figure 3. Boxplots of the observed income of players generated by four different sources of income,
Figure 3. Boxplots of the observed income of players generated by four different sources of income, Figure 3. Boxplots of the observed income of players generated by four different sources of income,
per round and gender, all villages cofounded, (a) from selling cattle, (b) from off-farm workers, (c)
from sticky rice, whether standard or improved, (d) from white rice. The income from off-farm
workers was zero in round 3, because in this round, workers sent off-farm failed to secure
employment. The income generated from selling cattle in round 1 and the income from white rice in
rounds 1 and 2, was zero because those options were not yet available to players. Figure 3. Boxplots of the observed income of players generated by four different sources of income,
per round and gender, all villages cofounded, (a) from selling cattle, (b) from off-farm workers, (c) from
sticky rice, whether standard or improved, (d) from white rice. The income from off-farm workers was
zero in round 3, because in this round, workers sent off-farm failed to secure employment. 3 2 Production Choices
3.2. Production Choices White rice production at the player level was determined not only by the amount of white rice
cultivated but also by management decisions including plot choice and use of fertilizers
White rice production at the player level was determined not only by the amount of white rice
cultivated but also by management decisions, including plot choice and use of fertilizers. cultivated but also by management decisions, including plot choice and use of fertilizers. Women and men were equally likely to allocate most of their plots to white rice once it was available,
from round 3 onward. The important distinction in terms of income, however, was that women were
more likely to allocate their best plot—the paddy protected from flooding and with a high yield
(paddy highland, PH, in Figure 4 —to white rice. This was not because men were less interested in
maximising income, but because, as male players in village Alan Wattana explained during
debriefing, “We need to plant more sticky rice because our family is eating sticky rice, and so we can’t produce
enough white rice for trader”
Women and men were equally likely to allocate most of their plots to white rice once it was
available, from round 3 onward. The important distinction in terms of income, however, was that
women were more likely to allocate their best plot—the paddy protected from flooding and with a high
yield (paddy highland, PH, in Figure 4—to white rice. This was not because men were less interested in
maximising income, but because, as male players in village Alan Wattana explained during debriefing,
“We need to plant more sticky rice because our family is eating sticky rice, and so we can’t produce enough white
rice for trader”. 12 of 22 Sustainability 2020, 12, 6594 Figure 4. The probability of allocating a plot to white rice cultivation depending on plot properties:
rainfed with bad soil (RB), rainfed with good soil (RG), paddy highland (PH), paddy lowland (PL). Each circle represents the observed fraction of the plot of a given plot property allocated to white rice
cultivation per game session. The size of the circle is proportional to the number of observations of
the same values. The lines are predictions from a logistic regression, while the grey ribbons represent
the corresponding 95% confidence intervals. Figure 4. 3 2 Production Choices
3.2. Production Choices The probability of allocating a plot to white rice cultivation depending on plot properties:
rainfed with bad soil (RB), rainfed with good soil (RG), paddy highland (PH), paddy lowland (PL). Each circle represents the observed fraction of the plot of a given plot property allocated to white rice
cultivation per game session. The size of the circle is proportional to the number of observations of the
same values. The lines are predictions from a logistic regression, while the grey ribbons represent the
corresponding 95% confidence intervals. Figure 4. The probability of allocating a plot to white rice cultivation depending on plot properties:
rainfed with bad soil (RB), rainfed with good soil (RG), paddy highland (PH), paddy lowland (PL). Each circle represents the observed fraction of the plot of a given plot property allocated to white rice
cultivation per game session. The size of the circle is proportional to the number of observations of
the same values. The lines are predictions from a logistic regression, while the grey ribbons represent
the corresponding 95% confidence intervals. Figure 4. The probability of allocating a plot to white rice cultivation depending on plot properties:
rainfed with bad soil (RB), rainfed with good soil (RG), paddy highland (PH), paddy lowland (PL). Each circle represents the observed fraction of the plot of a given plot property allocated to white rice
cultivation per game session. The size of the circle is proportional to the number of observations of the
same values. The lines are predictions from a logistic regression, while the grey ribbons represent the
corresponding 95% confidence intervals. Fertilizers were increasingly applied over time, with no noticeable difference between men and
women (Appendix B). Players were more likely to apply fertilizers to white rice compared to sticky
rice, while no significant difference was detected between improved sticky rice and white rice. From
the game components (Appendix A), production increases the most by applying fertilizer to
improved rice compared to either white rice or sticky rice. Fertilizer on improved sticky rice increased
production by 1.5 bags of rice (average during a good year over the four plot types), while it increased
production by only 1 bag of rice when applied to areas of white rice or sticky rice production. However, in optimum conditions, white rice could be sold for 1.5 units of money per bag compared
to only 1 unit of money per bag for sticky rice. 3 2 Production Choices
3.2. Production Choices Thus, applying fertilizer on a plot of improved rice or
white rice was equally profitable. Fertilizers were increasingly applied over time, with no noticeable difference between men
and women (Appendix B). Players were more likely to apply fertilizers to white rice compared to
sticky rice, while no significant difference was detected between improved sticky rice and white rice. From the game components (Appendix A), production increases the most by applying fertilizer to
improved rice compared to either white rice or sticky rice. Fertilizer on improved sticky rice increased
production by 1.5 bags of rice (average during a good year over the four plot types), while it increased
production by only 1 bag of rice when applied to areas of white rice or sticky rice production. However,
in optimum conditions, white rice could be sold for 1.5 units of money per bag compared to only 1 unit
of money per bag for sticky rice. Thus, applying fertilizer on a plot of improved rice or white rice was
equally profitable. increase farme
4. Discussion 4. Discussion
In the game, the income of both men and women increased over time, but women achieved a
higher income than men as the game progressed. Women achieved a higher income due to their
higher levels of collaboration, tending more quickly to achieve the production of 29 bags of white rice
required for a premium price. Women’s higher propensity to collaborate and cooperate is recorded
in the literature, specifically when they are in a female-only environment [67,68], and this has also
been noted in other experimental game settings [69,70]. Some studies, however, suggest that, overall,
women and men can be equally cooperative, with sex differences in cooperation entirely context-
dependent [71,72], whereas other research suggests that the effect of gender on cooperation remains
inconclusive [73]. Nonetheless, it needs to be noted that most of the literature reported are on social
dilemma studies that are conceptually concerned with situations involving a conflict between self-
interest and the collective interest [71]. Gendered exploration of cooperation in a specific context of
agriculture with the potential neutral-win and win-win outcomes, warrants further study as it
In the game, the income of both men and women increased over time, but women achieved a
higher income than men as the game progressed. Women achieved a higher income due to their higher
levels of collaboration, tending more quickly to achieve the production of 29 bags of white rice required
for a premium price. Women’s higher propensity to collaborate and cooperate is recorded in the
literature, specifically when they are in a female-only environment [67,68], and this has also been noted
in other experimental game settings [69,70]. Some studies, however, suggest that, overall, women and
men can be equally cooperative, with sex differences in cooperation entirely context-dependent [71,72],
whereas other research suggests that the effect of gender on cooperation remains inconclusive [73]. Nonetheless, it needs to be noted that most of the literature reported are on social dilemma studies that
are conceptually concerned with situations involving a conflict between self-interest and the collective
interest [71]. Gendered exploration of cooperation in a specific context of agriculture with the potential
neutral-win and win-win outcomes, warrants further study as it potentially carries more relevant
policy implications than can be generated exclusively through social dilemma studies. 3.3. Cooperation
3.3. Cooperation The straight lines in colour are predictions from a linear-mixed effect model, while the grey
ribbons represent the corresponding 95% confidence intervals from the fixed effects. (b) The
regression coefficient estimates (dots) with their corresponding 95% confidence intervals (whiskers)
of the fixed effects of the model used for prediction in (a). Coefficient estimates whose confidence
intervals exclude zero can reasonably be considered to affect the response variable. Figure 5. Trends and corresponding coefficients of white rice production at the session-level by round. (a) The production over the rounds for men in pink and women in blue. The dots represent observed
data, and the size of the dot is proportional to the number of observations of the same values. The black
horizontal line is drawn at 29, the threshold above which players receive a price premium for white
rice. The straight lines in colour are predictions from a linear-mixed effect model, while the grey
ribbons represent the corresponding 95% confidence intervals from the fixed effects. (b) The regression
coefficient estimates (dots) with their corresponding 95% confidence intervals (whiskers) of the fixed
effects of the model used for prediction in (a). Coefficient estimates whose confidence intervals exclude
zero can reasonably be considered to affect the response variable. In addition to cooperating to achieve the target of 29 bags of white rice to obtain the price
premium, cooperation was also important in terms of needing to share the use of the available direct
seeding machine. Although men and women were equally likely to own a direct seeding machine,
women were more likely to share the available machines with other farmers. In addition, when
machines were shared, players—even those unable to afford the cost of 6 money units to purchase—
were able to use the machine and hence halve the number of labour tokens required to farm a plot. The labour tokens that became available could then be used to perform different actions to further
increase farmers’ income
In addition to cooperating to achieve the target of 29 bags of white rice to obtain the price premium,
cooperation was also important in terms of needing to share the use of the available direct seeding
machine. Although men and women were equally likely to own a direct seeding machine, women
were more likely to share the available machines with other farmers. 3.3. Cooperation
3.3. Cooperation In addition, when machines were
shared, players—even those unable to afford the cost of 6 money units to purchase—were able to use the
machine and hence halve the number of labour tokens required to farm a plot. The labour tokens that
became available could then be used to perform different actions to further increase farmers’ income. 3.3. Cooperation
3.3. Cooperation Trends and corresponding coefficients of white rice production at the session-level by round. Figure 5. Trends and corresponding coefficients of white rice production at the session-level by round. Figure 5. Trends and corresponding coefficients of white rice production at the session-level by round. (a) The production over the rounds for men in pink and women in blue. The dots represent observed
data, and the size of the dot is proportional to the number of observations of the same values. The
black horizontal line is drawn at 29, the threshold above which players receive a price premium for
white rice. The straight lines in colour are predictions from a linear-mixed effect model, while the grey
ribbons represent the corresponding 95% confidence intervals from the fixed effects. (b) The
regression coefficient estimates (dots) with their corresponding 95% confidence intervals (whiskers)
of the fixed effects of the model used for prediction in (a). Coefficient estimates whose confidence
intervals exclude zero can reasonably be considered to affect the response variable. Figure 5. Trends and corresponding coefficients of white rice production at the session-level by round. (a) The production over the rounds for men in pink and women in blue. The dots represent observed
data, and the size of the dot is proportional to the number of observations of the same values. The black
horizontal line is drawn at 29, the threshold above which players receive a price premium for white
rice. The straight lines in colour are predictions from a linear-mixed effect model, while the grey
ribbons represent the corresponding 95% confidence intervals from the fixed effects. (b) The regression
coefficient estimates (dots) with their corresponding 95% confidence intervals (whiskers) of the fixed
effects of the model used for prediction in (a). Coefficient estimates whose confidence intervals exclude
zero can reasonably be considered to affect the response variable. Figure 5. Trends and corresponding coefficients of white rice production at the session-level by round. (a) The production over the rounds for men in pink and women in blue. The dots represent observed
data, and the size of the dot is proportional to the number of observations of the same values. The
black horizontal line is drawn at 29, the threshold above which players receive a price premium for
white rice. 3.3. Cooperation
3.3. Cooperation More white rice was produced at the village level when women were playing, and in those
sessions, the threshold of 29 bags of rice was reached earlier (Figure 5) to obtain the premium price. Women produced more white rice and hence achieved higher profits sooner than did men when
playing the game. More white rice was produced at the village level when women were playing, and in those
sessions, the threshold of 29 bags of rice was reached earlier (Figure 5) to obtain the premium price. Women produced more white rice and hence achieved higher profits sooner than did men when
playing the game. 13 of 22 Sustainability 2020, 12, 6594 Figure 5. Trends and corresponding coefficients of white rice production at the session-level by round. (a) The production over the rounds for men in pink and women in blue. The dots represent observed
data, and the size of the dot is proportional to the number of observations of the same values. The
black horizontal line is drawn at 29, the threshold above which players receive a price premium for
white rice. The straight lines in colour are predictions from a linear-mixed effect model, while the grey
ribbons represent the corresponding 95% confidence intervals from the fixed effects. (b) The
regression coefficient estimates (dots) with their corresponding 95% confidence intervals (whiskers)
of the fixed effects of the model used for prediction in (a). Coefficient estimates whose confidence
intervals exclude zero can reasonably be considered to affect the response variable. Figure 5. Trends and corresponding coefficients of white rice production at the session-level by round. (a) The production over the rounds for men in pink and women in blue. The dots represent observed
data, and the size of the dot is proportional to the number of observations of the same values. The black
horizontal line is drawn at 29, the threshold above which players receive a price premium for white
rice. The straight lines in colour are predictions from a linear-mixed effect model, while the grey
ribbons represent the corresponding 95% confidence intervals from the fixed effects. (b) The regression
coefficient estimates (dots) with their corresponding 95% confidence intervals (whiskers) of the fixed
effects of the model used for prediction in (a). Coefficient estimates whose confidence intervals exclude
zero can reasonably be considered to affect the response variable. Figure 5. increase farme
4. Discussion Using role-playing
games (RPGs) in a female-only and male-only group setting, they found that women who played
the RPGs approached land-use change in a more dynamic way than men from the same villages,
reacting more positively to external investors and possible changes. The game context of our study
might have affected certain outcomes. Unlike in reality, women had access to production inputs and
information about new practices equally to men. This, however, is not always the case in the “real”
world, and an increasing number of studies acknowledge that it is access to inputs and information,
not their behavioural propensity, that prevents women from the adoption of new and improved
agricultural practices [76,77]. Peterman et al. [78] also found that across different types of inputs,
men generally have higher input measures than women and that this input gap was responsible
for productivity differences between men and women observed in their study. On the whole, these
results from various studies suggest that technology adoption decisions depend primarily on access
to resources, including land, labour and information, rather than on gender per se [78–80]. If in a
particular context, men tend to have better access to these resources than women, Doss and Morris [73]
argue that the technologies will not benefit men and women equally. Policy changes thus may be
needed to increase women’s access to key resources rather than necessarily to focus on the motivational
factors that might purportedly encourage women to adopt innovations. Of relevance here is also a
study by Ogunlana [81], who argued that female farmers easily adopt innovations that enhance their
economic status. In other words, a low participation of women in agricultural innovation adoption is
caused by lack of information about the advantages of the innovations. Such findings have important
policy implications because they suggest that ensuring the more widespread and equitable adoption of
improved technologies may not require changes in the research system but rather the introduction
of measures that ensure better access for women to complementary inputs, especially land, labour
and agricultural extension services. Therefore, in order to predict whether the new technology will be
adopted successfully by women as well as men, it is important to examine both the technology itself as
well as the physical and institutional contexts in which the technology is implemented [76]. Improved communication of innovation benefits [81] may also be a significant factor. increase farme
4. Discussion agriculture with the potential neutral win and win win outcomes, warrants further study as it
potentially carries more relevant policy implications than can be generated exclusively through social
dilemma studies. While there was no difference between men and women in terms of fertilizer use, an important
management decision-making difference was that women were more likely to allocate their best plot
to white rice. Men were more reluctant to do so as they placed higher value on rice for subsistence. This supports findings from other studies that indicate that subsistence farming is the preferred
While there was no difference between men and women in terms of fertilizer use, an important
management decision-making difference was that women were more likely to allocate their best plot
to white rice. Men were more reluctant to do so as they placed higher value on rice for subsistence. This supports findings from other studies that indicate that subsistence farming is the preferred
livelihood strategy for fewer than 20% of men and 10% of women [74]. This finding indicates that
not only is a transition to a modern agricultural economy well on its way in Lao PDR, but women 14 of 22 Sustainability 2020, 12, 6594 also appear more willing to exit the traditional farming context. Moglia et al. [74] also reported that
almost two-thirds of women in their study opted for maximizing family income through off-farm
employment, compared to nearly two-thirds of men who focused on either growing rice for subsistence
or income-generation. In this study, we also found indications of income-maximization strategies:
in addition to cooperating to reach the target number of rice bags and hence premium price, women
were also cooperating by sharing machinery. These actions released additional labour to engage in
alternative on-farm and off-farm income-generating activities. This finding is very much in line with
other studies that show that nontraditional off-farm and nonfarming activities have become integral to
the way households generate income in Lao PDR [12–15], as well as in other emerging economies [75]. y
g
[
]
g
g
[
]
Our findings that women changed farming practices earlier in the game than men might appear
contrary to some literature claiming that women are slower innovation adopters. Similar to our
study—and contrary to expectations and gender stereotypes—Villamor et al. [52] found that females
were more active and dynamic than men in responding to external opportunities. increase farme
4. Discussion It also engaged local
communities and had a capacity-building effect [38–40,83]. Moreover, games provided the farmers
with an opportunity for observing the implications of their decisions on their livelihoods. Villamor and
Badmos [34] found that the game was instrumental for eliciting the players’ subjective perceptions,
goals and expectations within the specific context described but were limited in facilitating social
learning in terms of changes in values and norms. The gaming in our study was somewhat confronting to
research teams and stakeholders present at the gaming sessions (extensionist services/local agricultural
services) as it provided instant, strong and visual challenges to deeply rooted assumptions and
myths. For stakeholders who played their own roles as extensionists, it generated new insights by
enabling them to explore the potential and gendered consequences of strategic decisions in agriculture. We suggest, in line with Ogunlana [81], that promoters of new technologies, whether governments or
donor organizations, need to better understand the economic advantages of the proposed innovations
in the specific context. Our findings indicate that communication of economic advantages of innovation,
and not the mere availability and access to innovations per se, is of policy importance in terms of
encouraging greater levels of adoption by women. We advocate that game-based approaches can be
considered when trialling new technologies/practices in the complex context of village and household
decision-making. It enables potential beneficiaries to see how scenarios play out and can help counteract
risks that are sometimes revealed during initial research activity phases of a project intervention. To avoid potential shortcomings of the gaming approach, games need to be representative so
that the virtual village situations developed by a core team of scientists and targeted stakeholders
correspond to the local social–ecological context [38,39]. Game authenticity, that is, the level at which it
is similar to the actual context of the phenomena under study, is thus an important consideration when
developing the game. This, in turn, requires comprehensive preparation, several rounds of crash-testing
and fine-tuning and team capacity building. Gaming sessions generate comprehensive sets of data
and insights; hence, they require a lengthy interpretation process. In line with Fisher et al. [54],
we found the game-workshop capable of enabling the exploration of complex issues within a limited
timeframe. The approach enabled the identification of information needs for farmers in a specific
region. increase farme
4. Discussion Furthermore,
the aspect of gendered power dynamics on the farm, noted in the previous paragraph, is of relevance
here. Importantly, enhancing the economic status of the farm is by no means the same as enhancing the
economic status of women on the farm. As Doss [82] argues for African women farmers, who are typically
reported as less likely than men to adopt improved crop varieties and management systems, studies too
often concentrate on how gender affects technology adoption and not on how the introduction of
new technologies affect women’s well-being. Our results suggest that once women have access to
assets and information equally with men and understand the potential economic benefits of proposed
actions, they might be faster adopters of improved technologies and practices than men. On the
other hand, such a result might be due to differences in the farming experiences, risk aversion and
other characteristics of males and females. In the case of Laos, as Moglia et al. [69] report, women
have less emotional attachment to existing agricultural lifestyles, which might result in their greater Sustainability 2020, 12, 6594 15 of 22 propensity for adoption of new technologies. That said, however, if considerable risks are associated
with adoption, women are more likely to move away from agriculture altogether [69]. As this finding
is of significant policy relevance, we strongly recommend further studies. The gaming approach methodology that was used was well received by both local experts
and farmers. The approach allowed stakeholders to explore complex interplays and elicit specific
behaviours. Gaming is a research methodology that combines community engagement and data
collection and is particularly useful for exploring the potential consequences of strategic decisions in
agriculture [54]. Overall, the game was perceived as engaging and educational. During the debriefing
discussions, farmers indicated that, for them, the game tool had an educational effect because it
demonstrated the concepts of strategic resource allocation of farming systems and the potential
benefits of longer-term planning horizons. It also resulted in a mind shift for local agricultural officers,
who started playing the game with the focus on “technology”. Over time, however, they started to
appreciate and tried to better understand the actual potential users of the technology—farmers—and
their needs and motivations. As reported elsewhere in the literature, gaming afforded farmers the opportunity to conceptualize
their livelihood options and gave them insight into decision-making factors. increase farme
4. Discussion However, this specificity makes games more difficult to extrapolate to different geographic
and temporal settings, as different market conditions, prices, availability of inputs, etc., might change
outcomes. It is, therefore, not so much the specific decisions per se, but the decision-making process
and behavioural choices, that are the key learning factors of the game approach. Important to the
understanding of gendered decision-making, games highlight the decisions that can be made on-farm,
even in a highly simplified set-up. Sustainability 2020, 12, 6594 16 of 22 16 of 22 5. Conclusions Conflicts of Interest: The authors declare no conflict of interest. Data Availability Statement: Data collection was approved by the James Cook University Human Ethics Research
Committee, approval number H6109. 5. Conclusions Gendered studies of adoption decision-making are limited. We used a game-based approach to
explore decision-making processes behind the adoption of white rice farming, in the context of a gradual
transition from subsistence to commercial smallholder production supported by Lao government. The approach was found to be well accepted and of benefit to the players. Game-workshops allowed
for the elicitation of behaviours and decisions that could be made by women and men in a farm
context and in the absence of constraints of time, resources and logistics, based on data from a virtual
scenario. Our results suggest that once women have access to assets and information equally with men,
and understand the reported economic benefits of proposed actions, they are faster adopters of improved
technologies and practices than men. This is a key finding that carries wider policy implications. There is
scope for developing the promising findings of this paper, and we recommend further research in the
following areas: (a) gendered explorations of cooperation among women in the agricultural context;
(b) exploration of benefits of agriculture and agricultural innovation to women on the farm; (c) impacts
of out-migration on availability of farm labour. Such studies, we suggest, would be beneficial and
widely applicable in the context of countries and regions undergoing agricultural transition from
subsistence to commercial agricultural commodity production. Author Contributions: Conceptualization, P.P., A.D. and K.S.A.; methodology, A.D., P.P., M.T., P.T. and M.M.;
validation, A.D. and P.P.; formal analysis, T.C.; investigation, A.D., P.P., M.M., P.T., M.T., P.S., J.G.C. and S.V.;
resources, A.D.; data curation, A.D.; writing—original draft preparation, A.D. and S.L.; writing—review and
editing, A.D., M.M., K.S.A., S.L., P.C.; visualization, A.D. and T.C.; supervision, K.S.A.; project administration,
K.S.A., P.C.; funding acquisition, K.S.A., P.C. All authors have read and agreed to the published version of
the manuscript. Funding: This research was funded by the Australian Centre for International Agricultural Research (ACIAR)
(Project no. ASEM/2014/052: “Smallholder farmer decision-making and technology adoption in southern Lao
PDR: opportunities and constraints”). Acknowledgments: We would like to thank staffbased in our Lao partner institutions for their support and
assistance, namely, colleagues at: the National University of Laos, the National Agriculture and Forestry Institute
and the Department of Technical Extension and Agro-Processing. Our thanks go to the workshop participants, the
local organizers and our colleagues for their comments and play-testing the games prior to fieldwork. Conflicts of Interest: The authors declare no conflict of interest. Appendix B. Additional Statistical Analysis and Figures Appendix B. Additional Statistical Analysis and Figures Fertilizer use, Figure A1: Players increasingly apply fertilizers to their plots over time, with
no noticeable difference between men and women. Players were more likely to apply fertilizers to
white rice compared to sticky rice, while no significant difference was detected between improved
rice and white rice. From the game mechanism, production increases the most by applying fertilizer
to improved rice compared to either white rice or sticky rice. Fertilizers on improved rice increase
production by 1.5 bag of rice (average during a good year over the four plot types), while it increases
production by only 1 bag of rice when applied on white rice or sticky rice. However, in optimum
conditions, white rice can be sold for 1.5 units of money per bag compared to only 1 unit of money per
bag for sticky rice. Thus, applying fertilizer to a plot of improved rice or white rice is equally profitable. Players were more likely to apply fertilizer on PH plots compared to PL and RB plots, with no
marked differences between PH plots and RG plots. From the game mechanism, during good years
(rounds 2, 3–5), adding fertilizer increases the production of rice by 1.33 bags of rice on PH and PL
(average over all three types of rice), while it increases production by 1 unit on RG and RB. Given that
PL is occasionally subjected to flooding, production is best increased by placing fertilizers on PH. Fertilizer use, Figure A1: Players increasingly apply fertilizers to their plots over time, with
no noticeable difference between men and women. Players were more likely to apply fertilizers to
white rice compared to sticky rice, while no significant difference was detected between improved
rice and white rice. From the game mechanism, production increases the most by applying fertilizer
to improved rice compared to either white rice or sticky rice. Fertilizers on improved rice increase
production by 1.5 bag of rice (average during a good year over the four plot types), while it increases
production by only 1 bag of rice when applied on white rice or sticky rice. However, in optimum
conditions, white rice can be sold for 1.5 units of money per bag compared to only 1 unit of money per
bag for sticky rice. Thus, applying fertilizer to a plot of improved rice or white rice is equally profitable. Sequences of events in the game are presented in Table A1. •
Flood (Round 4): The lower irrigated rice field is flooded. In consequence, this field’s yield
amounts to zero. Yields of ‘good’ and ‘bad’ weather years are presented in Tables A2 and A3, respectively. Table A2. Yield on the “good weather” year. Sticky/White Rice
Improved Rice
No Fertilizer
Fertilizer
No Fertilizer
Fertilizer
Rainfed—bad soil
2
3
3
4
Rainfed—good soil
3
4
4
5
Irrigated—high
3
4
4
6
Irrigated—low
3
4
4
6
Table A3. Yields on the “bad weather” year. Sticky/White Rice
Improved Rice
No Fertilizer
Fertilizer
No Fertilizer
Fertilizer
Rainfed—bad soil
1
1
2
2
Rainfed—good soil
2
2
3
3
Irrigated—high
3
4
4
6
Irrigated—low
3
4
4
6 Table A2. Yield on the “good weather” year. Table A3. Yields on the “bad weather” year. Sequences of events in the game are presented in Table A1. Table A1. Sequence of events. Round
Round 1
Round 2
Round 3
Round 4
Round 5
Weather
Good
Bad
Good
Good
Good
Event
Election of the
Head of the Village
Wedding
Crisis
Flood
Trader can sell:
F
F-C-Fo
F-C-Fo-DSM
WR-IR
F-C-Fo-DSM
WR-IR
F-C-Fo-DSM
WR-IR
Extensionist
gives away:
DSM-IR-F
IR-F
IR-F-IP+C
IR-F-IP
F: Fertilizer; C: Cattle; Fo: Fodder; DSM: Direct Seeding Machine; IR: Improved Rice; WR: White Rice; IP:
Improved Pasture. 17 of 22 Sustainability 2020, 12, 6594 •
Election of the head of the village (Round 1): Each farmer is assigned a colour. The head of the
village is elected by putting a token of each colour in a bag. The game master will then randomly
draw one. The farmer which was assigned the colour drawn will be elected head of the village. •
Election of the head of the village (Round 1): Each farmer is assigned a colour. The head of the
village is elected by putting a token of each colour in a bag. The game master will then randomly
draw one. The farmer which was assigned the colour drawn will be elected head of the village. •
Wedding (Round 2): The farmers draw a chance card. The one who draws the card with the
couple on it will be getting married. He, therefore, draws a token out of the bag. The farmer of
the colour drawn has to give one labour force to the one with the card. The player getting married
has to pay for the wedding expenses amounting to two money tokens. •
Wedding (Round 2): The farmers draw a chance card. The one who draws the card with the
couple on it will be getting married. He, therefore, draws a token out of the bag. The farmer of
the colour drawn has to give one labour force to the one with the card. The player getting married
has to pay for the wedding expenses amounting to two money tokens. •
Bad weather (Round 2): Bad weather occurs and lowers the productivity on the rainfed areas. The yield will be the same on these fields, with or without fertilizer. •
Crisis (Round 3): It is the year of the global financial crisis. The labour tokens sent to Thailand
will not bring any money home. •
Flood (Round 4): The lower irrigated rice field is flooded. In consequence, this field’s yield
amounts to zero. Appendix B. Additional Statistical Analysis and Figures Players were more likely to apply fertilizer on PH plots compared to PL and RB plots, with no
marked differences between PH plots and RG plots. From the game mechanism, during good years
(rounds 2, 3–5), adding fertilizer increases the production of rice by 1.33 bags of rice on PH and PL
(average over all three types of rice), while it increases production by 1 unit on RG and RB. Given that
PL is occasionally subjected to flooding, production is best increased by placing fertilizers on PH. Players were more likely to apply fertilizer on PH plots compared to PL and RB plots, with no
marked differences between PH plots and RG plots. From the game mechanism, during good years
(rounds 2, 3–5), adding fertilizer increases the production of rice by 1.33 bags of rice on PH and PL
(average over all three types of rice), while it increases production by 1 unit on RG and RB. Given that
PL is occasionally subjected to flooding, production is best increased by placing fertilizers on PH. 18 of 22 Sustainability 2020, 12, 6594
S
t i
bilit 2020 12 Figure B1. (a) Trends in the probability to apply fertilizers to a given plot property (rainfed with bad
soil (RB), rainfed with good soil (RG), paddy highland (PH) and paddy lowland (PL)), rice type and
gender. Each circle represents the observed fraction of fertilized plot given the number of farmed
plots per plot property and rice type per game session. The size of the dot is proportional to the
number of observations of the same values. The lines in colour are predictions from a logistic
Figure A1. (a) Trends in the probability to apply fertilizers to a given plot property (rainfed with bad
soil (RB), rainfed with good soil (RG), paddy highland (PH) and paddy lowland (PL)), rice type and
gender. Each circle represents the observed fraction of fertilized plot given the number of farmed plots
per plot property and rice type per game session. The size of the dot is proportional to the number
of observations of the same values. The lines in colour are predictions from a logistic regression,
while the grey ribbons represent the corresponding 95% confidence intervals from the fixed effects. References 1. FAOSTAT. Lao People’s Democratic Republic. 2019. Available online: http://www.fao.org/countryprofiles/index/
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Vietnam; University of Queensland: Brisbane, Australie, 2012; pp. 4–21. ISBN 978-2-87614-687-7. 3. Cook, S. Structural Change, Growth and Poverty Reduction in Asia: Pathways to Inclusive Development. Develop. Policy Rev. 2006, 6, s51–s80. 4. De Koninck, R. The Challenges of the Agrarian Transition in Southeast Asia. Labour Cap. Soc. 2004, 37,
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number of observations of the same values. The lines in colour are predictions from a logistic
Figure A1. (a) Trends in the probability to apply fertilizers to a given plot property (rainfed with bad
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article distributed under the terms and conditions of the Creative Commons Attribution
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Planning processes for advanced manufacturing technology by large American manufacturers
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ABSTRACT In response to an increasingly competitive environment, many manufacturers have invested in advanced
manufacturing technology (AMT). While many studies regarding the use of AMT have been performed,
little is known about how firms plan and manage their AMT investments. This is surprising given the
evidence about the impact such investments can have on an organization. To address this, a survey of large American manufacturing firms was conducted. Respondents were asked,
among other questions, why their firms made such investments and the fit with their business strategy;
which functional areas were involved in idea generation, the planning process, and proposal assessment; and
what the anticipated risks, difficulties and benefits were from making such investments. The results from
this survey are provided along with an analysis of the responses. PLANNING PROCESSES FOR ADVANCED
MANUFACTURING TECHNOLOGY BY LARGE
AMERICAN MANUFACTURERS Robert Millen & Amrik S. Sonai
Working Paper 45/98
June 1998 Advanced Manufacturing Technology, Planning, Implementation, USA, Australia MONASH UNIVERSITY
FACULTY OF BUSINESS AND ECONOMICS
PLANNING PROCESSES FOR ADVANCED
MANUFACTURING TECHNOLOGY BY LARGE
AMERICAN MANUFACTURERS
Robert Millen & Amrik S. Sonai
Working Paper 45/98
June 1998 MONASH UNIVERSITY
FACULTY OF BUSINESS AND ECONOMICS 1. INTRODUCTION The competitive environment continues to become increasingly more demanding. The North American
Free Trade Agreement (NAFTA), for example, has resulted in a considerable amount of pressure on
manufacturers in the USA and Canada to introduce greater numbers of new products, to shorten time to
market, to increase customer service levels, to provide higher levels of conformance and quality, and to
offer more variety in their product lines. Reduction in trade barriers in other parts of the world have also
presented new opportunities for North American manufacturers. In the current manufacturing environment
characterised by low volumes and high variety, the adoption of advanced manufacturing technology (AMT)
can provide many strategic benefits for the firm. The introduction of A M T has taken many forms and acronyms. AMTs refer to a family of technologies
which includes computer-aided design (CAD), computer-aided engineering, (CAE), manufacturing
resources planning (MRPII), automated materials handling systems, electronic data interchange (EDI) and
computer-integrated manufacturing (CIM) systems. These technologies enable both economies and scale
and economies of scope to be achieved without changing the hardware. The major strategic benefits that
these technologies offer are the increased flexibility and the responsiveness, enabling an organisation to
substantially improve its competitiveness in the marketplace. These new technologies require significant financial commitments in terms of hardware, software, support
systems, and training. In addition, obtaining the greatest benefits generally requires alterations in other
functional areas of an organization, such as marketing and maintenance. For example, firms that have
achieved flexibility in their operations have entered market niches that in the past were neglected because
the requisite capability to serve these niches effectively did not exist previously. Similarly, more emphasis
must be placed on preventative maintenance policies since many of these AMTs account for a substantial
proportion of the firm's investment in production technology and any amount of downtime can significantly
increase operating costs. These competitive conditions and internal commitments make planning difficult for investments in AMT. Balancing the need to create a competitive advantage and the investment of time and money is required
when A M T acquisition decisions are being made. This study explores the challenges associated with
planning A M T investments and reports the experiences of 93 major American manufacturing organizations. In addition, results from the USA are compared with a similar study conducted in Australia. Keywords Advanced Manufacturing Technology, Planning, Implementation, USA, Australia 1. INTRODUCTION A number of studies regarding the use of A M T in various forms have been performed (see, for example,
Boyer et. a!., (1996) for a comprehensive review.) Yet, little is known about how firms plan and manage
their A M T investments. This is surprising given the evidence that exists about the impact such investments
can have on an organization. To achieve the system wide benefits from A M T proffered by its exponents, there must be an alignment
between corporate and manufacturing strategy. An inadequate appraisal of business needs and the exclusion
of such needs in the assessment of A M T has prevented some firms from benefiting from their A M T
investments (Zairi, 1992). Success will also depend on the ability of the organization to assimilate such new technology. It has been
argued that firms that adopt AMTs without first redesigning organizational structures and processes risk
institutionalizing bad practices (Duimering et. al. ,1993). Bessant (1994) also emphasises the many
dimensions of the organisation which are impacted by AMT investments. At the work, management and
inter-firm levels, he argues the need for parallel organisational change to accompany the investment. Similarly, Zammuto and O'Connor (1992) draw attention to the importance of organisational design and 2 culture in their discussion of the relationships among a company's culture, structure and the potential
outcomes of an A M T investment. Clearly, companies need to rethink how their inter- and intra-
organizational processes will be impacted as a result of A M T investments. culture in their discussion of the relationships among a company's culture, structure and the potential
outcomes of an A M T investment. Clearly, companies need to rethink how their inter- and intra-
organizational processes will be impacted as a result of A M T investments. Finally, A M T is not just about technology, organizational structures and business processes. The human
element must also be addressed along three dimensions. First, A M T implementation failure has been
attributed to the neglect of critical human resource factors (Saraph and Sebastian, 1992). Thomas and
Wainwright (1994) also emphasise on the internal politics, especially the link between "people issues" and
successfully obtaining the benefits of AMTs. Resistance to change is to be expected, but this resistance can
be managed through effective communication programs and the involvement of individuals during the
planning process. 1. INTRODUCTION Second, A M T is successful only when people want to use it (Markus and Keil, 1994). A
number of factors can facilitate the acceptance of such investments through incentive schemes and the use
of cross-functional teams. Third, most firms with successful A M T implementations enlist champions. These individuals provide a continual driving force throughout the initiative [Beatty (1992), Singh and
Sohal (1995), and Sohal (1996)]. In light of the demonstrated importance of the above factors, we were able to identify only a few studies that
have examined in detail the A M T planning process. In addition, only two of these few studies were
conducted in the US. Currie (1989) found that the process of decision making for CAD systems was ad hoc in a study of twenty
British firms. Technology was often introduced in a fragmented manner and was targeted to achieve narrow
operational benefits in most of the firms examined by Currie. In studying how corporate managers
evaluated new technologies, Gold (1988) found that the problems were not so much with the technologies as
with the misconception of managers both in evaluating capabilities before adoption and in appraising efforts
after implementation. Kaplan (1986) calls for more sophisticated financial appraisal of A M T investments
and highlighted by Howell and Sourcy (1987) and Adler (1988) , the need to accommodate the less
quantifiable effects of AMT. Small and Chen (1995) examined the impact of financial justification
approaches and criteria at the plant level on the adoption of more integrated technologies. Their study
provides insights into the formation of decision-making teams for the justification process. In a series of papers, Sohal et. al., have examined the A M T planning process by manufacturers in Australia
[Sohal (1997), Sohal et. al. (1991)], New Zealand (Sohal et. al., 1996) and the United Kingdom (Sohal,
1994). This series of studies are more comprehensive than others in that the A M T idea generation, idea
development, justification, implementation and post-implementations processes were investigated, and
examined from the perspective of senior management of the firms. A question still remains, however, as to what processes are employed by major American manufacturing
firms. In order to examine this question, a questionnaire survey was conducted amongst the largest
American manufacturing companies using the survey instrument previously employed by Sohal, et al. in a
number of other countries. The next section (Section 2) describes the research methodology. 1. INTRODUCTION This is
followed by the main section of the paper (Section 3) which presents the overall findings from the American
study. In Section 4, the key findings from the American study are discussed and a general comparison is
made with the key findings from the 1993 Australian study. 2. RESEARCH METHODOLOGY The survey instrument used for the American study was based on the original questionnaire used by Sohal,
et. al. (1991) to study the planning and implementation of AMT in Australia. The questionnaire comprised
the following sections: •
Company background details •
A M T investment proposal generation 3 3 •
Proposal assessment
•
A M T implementation
•
Post implementation study
The main issues addressed by the research reported on in this article and the earlier article were:
1. Why do companies invest in AMT, and what effects do company factors (e.g., size) have on these
decisions? 2. What are the size and nature of AMT investments? 3. Which functional areas generate investment ideas involving A M T and which functional areas are
involved in the planning process? 4. How good was the fit between the A M T proposal and the business strategy? 5. Which functional areas were involved with the proposal assessment and which financial techniques
were employed? 6. What were the anticipated benefits, risks and difficulties? The sample for the study was selected from Business Week's 1995 list of the 1,000 largest US companies. From this list, only manufacturing firms were selected. Furthermore, the major operating divisions of the
large diversified companies (for example, General Electric's Locomotive, Airplane Engine, and Plastics
divisions) were identified as well. The main issues addressed by the research reported on in this article and the earlier article were: 1. Why do companies invest in AMT, and what effects do company factors (e.g., size) have on these
decisions? 2. What are the size and nature of AMT investments? 3. Which functional areas generate investment ideas involving A M T and which functional areas are
involved in the planning process? 3. Which functional areas generate investment ideas involving A M T and which functional areas are
involved in the planning process? 4. How good was the fit between the A M T proposal and the business strategy? 5. Which functional areas were involved with the proposal assessment and which financial techniques
were employed? 5. Which functional areas were involved with the proposal assessment and which financial techniques
were employed? 6. What were the anticipated benefits, risks and difficulties? The sample for the study was selected from Business Week's 1995 list of the 1,000 largest US companies. From this list, only manufacturing firms were selected. 2. RESEARCH METHODOLOGY Furthermore, the major operating divisions of the
large diversified companies (for example, General Electric's Locomotive, Airplane Engine, and Plastics
divisions) were identified as well. The name of a senior level executive in Manufacturing, Research and Development, Technology or Process
Development was researched. A questionnaire was sent only when such an individual could be identified by
name. This process resulted in a sample of 446 manufacturing organizations which represented a cross-
section of most of the industrial sectors. Manufacturers using all types of production methods were
represented in the sample. The questionnaire together with a covering letter and a pre-paid reply envelope were mailed out during the
Fall of 1996. A total of 124 questionnaires were returned and no follow-up was conducted. Of this number,
93 contained useable responses. This resulted in a response rate of approximately 21% which is similar to
response rates reported elsewhere for surveys of manufacturing practice [King and Grover (1991), King and
Ramamurthy (1992), and Raho et. al. (1987)]. 3. SURVEY FINDINGS This section presents the overall findings from the American study. First, the profile of the responding
companies is presented. Then, each of the six research issues presented earlier are discussed. Question 1: The purposes of AMT investments. Question 1: The purposes of AMT investments. Investment in A M T is one manner in which manufacturers believe they can improve their competitive
position in world markets. This is reflected in the responses to the question concerning the reasons for
investing in AMT. Respondents were provided with a list of five reasons for investing in AMT and asked to
indicate the importance of each on a scale ranging from one (most important) to five (not at all important). The mean score of the responses was calculated for each reason, and the resulting values are provided in
Table 2. Obtaining financial benefits and competitive advantage were the most important reasons given for investing
in A M T with mean scores of 1.15 and 1.16, respectively. The next most important reason cited was to
counter competitive threats, followed by countering skill deficiencies and enhancing the company's image. When analyzed by company size (measured both as annual sales revenues and number of employees), no
statistically significant relationships were identified. Table 2: Motivations for AMT Investments Table 2: Motivations for AMT Investments
Reasons
Mean Score
Obtaining financial benefits
1.15
Obtaining competitive advantage
1.16
Countering competitive threats
2.06
Countering skill deficiency
3.06
Enhancing company image
3.74
(1 = most important, 5 - not at all important) Reasons
Mean Score
Obtaining financial benefits
1.15
Obtaining competitive advantage
1.16
Countering competitive threats
2.06
Countering skill deficiency
3.06
Enhancing company image
3.74 Question 2: The size and nature of AMT investments Respondents Profile The number of employees and annual sales revenue for the sample are provided in Table 1. More than half
of the sample had revenues in excess of $1 billion, and approximately half employed between 1,000 and
10,000 people. Flowline production is the principal type of manufacturing system used by 35% of the responding
companies. Thirty-two percent employed continuous processes, 28% batch production and 5% job-shop
type of manufacturing. 4 Table 1: Characterisitics of Responding Firms
Annual Sales Revenue
n
%
$100Mto$l,000M
44
47
>$1,000M
49
53
Employment
n
%
500 to 999
9
10
1,000 to 9,999
46
49
> 10.000
38
41
Principle Tvoe of Manufacturing
n
%
Jobbing
5
5
Batch
26
28
Flowline
33
35
Continuous
29
31 Table 1: Characterisitics of Responding Firms
Annual Sales Revenue
n
%
$100Mto$l,000M
44
47
>$1,000M
49
53
Employment
n
%
500 to 999
9
10
1,000 to 9,999
46
49
> 10.000
38
41
Principle Tvoe of Manufacturing
n
%
Jobbing
5
5
Batch
26
28
Flowline
33
35
Continuous
29
31 Table 1: Characterisitics of Responding Firms Table 1: Characterisitics of Responding Firms Question 2: The size and nature of AMT investments Question 2: The size and nature of AMT investments All respondents indicated that there had been more than one A M T investment in their company in the past
three years. The percentage of firms investing in various types of A M T in the past three years is shown in
Table 3. Although the percentages are not directly additive, it appears that the rank order of investments is
computer hardware, computer software, and plant and equipment. For computer hardware, shop floor data capture, local area networks and on-line process instrumentation
were the most popular areas of investments with 70%, 68% and 54% of the responding companies investing 5 in these technologies in the past three years, respectively. C A D / C A M , MRP II and quality control were the
software invested in by the greatest number of respondent companies. Only 9% of the firms invested in
OPT (Optimized Production Technology) in the past three years. The most common investments in plant
and equipment were computer controlled testing equipment (41% of respondents, automated assembly
(27%), and automated warehousing/order picking (36%). Table 4 provides data on the size of the largest investments made by these firms in the past three years. Whereas the largest investment for 24% of these firms was US$1 million or less, 36% spent more than
US$10 million on their largest investment during this time period. Question 2: The size and nature of AMT investments Table 3: Nature of AMT Investments Table 3: Nature of AMT Investments Table 3: Nature of AMT Investments
Computer Hardware
Percentage of respondents
PCs
100
Shop floor data capture
70
L A N
68
On-line process instrumentation
54
W A N
40
Minis
27
Graphics hardware
25
Micros
20
Mainframe
14
Computer Software
Percentage of respondents
C A D / C A M
79
MRP II
57
QC software
52
Data base mgmt systems
48
MRP
36
Expert systems
32
M A P
13
OPT
9
Plant and Equipment
Percentage of respondents
Computer controlled test equip
41
Automatic assembly
37
Automated warehousing/order picking
36
CNC M/Cs
30
Automatic testing equip
28
Laser measuring
25
AGVs
18
Flexible manufacturing systems
17
Laser cutting
14 Computer Hardware
Percentage of respondents
PCs
100
Shop floor data capture
70
L A N
68
On-line process instrumentation
54
W A N
40
Minis
27
Graphics hardware
25
Micros
20
Mainframe
14 Computer Software
Percentage of respondents
C A D / C A M
79
MRP II
57
QC software
52
Data base mgmt systems
48
MRP
36
Expert systems
32
M A P
13
OPT
9 Plant and Equipment
Percentage of respondents
Computer controlled test equip
41
Automatic assembly
37
Automated warehousing/order picking
36
CNC M/Cs
30
Automatic testing equip
28
Laser measuring
25
AGVs
18
Flexible manufacturing systems
17
Laser cutting
14 Plant and Equipment
Percentage of respondents
Computer controlled test equip
41
Automatic assembly
37
Automated warehousing/order picking
36
CNC M/Cs
30
Automatic testing equip
28
Laser measuring
25
AGVs
18
Flexible manufacturing systems
17
Laser cutting
14 6 6 Table 4: Size of the Largest AMT Investment Made in the Last Three Years Table 4: Size of the Largest AMT Investment Made in the Last Three Years Table 4: Size of the Largest AMT Investment Made in the Last Three Yea
Investment ($ Million)
Percentage of respondents
<0.5
19
0.5-1
5
1- 2
18
2- 10
23
10-20
6
20-40
13
40+
17 Questions 3 to 5: The investment planning process Questions 3 to 5: The investment planning process Idea generation. The idea to invest in A M T comes from many sources. Nearly all of the firms (98%)
indicated that more than one functional area listed in Table 5 had provided such ideas. While many
functional areas provided ideas, the areas that generated ideas in most companies were by personnel directly
related with manufacturing (see Table 5). In more than 70% of the firms responding to this question,
investment ideas were generated by Engineering, Production Engineering, and Production. Several other
groups also generated A M T ideas in a substantial number of firms, including R&D, Data Processing and
Suppliers. Table 5: Functional Areas Involved in Idea Generation for AMT Investments Table 5: Functional Areas Involved in Idea Generation for AMT Investments
Functional Area
Percentage of
respondents
Engineering
89
Production Engineering
76
Production
71
Research & Development
58
Data Processing
46
Suppliers
44
Consultants
27
Sales & Marketing
14
Personnel
12
Accounting & Finance
10 Functional Area
Percentage of
respondents
Engineering
89
Production Engineering
76
Production
71
Research & Development
58
Data Processing
46
Suppliers
44
Consultants
27
Sales & Marketing
14
Personnel
12
Accounting & Finance
10 In a similar manner, 90% of the respondents indicated that more than one level of management was
involved in A M T investment idea generation (see Table 6). The most frequently cited management levels
where investment ideas were generated were Middle, Senior and Junior. Supervisory and Shop floor level
managers were the source of ideas in a number of firms, and were more likely to generate such ideas than
Top management. Training in the management of A M T was perceived to be needed more than training in the technologies
themselves. Seventy percent of respondents indicated a perceived need for training in the management of
A M T and 65% noted a perceived need for training in the technologies themselves. However, when asked to
indicate whether an individual's firm had implemented such training, 57% indicated that training in the
management of A M T had been implemented whereas 68% indicated that training in the technologies
themselves had occurred. 7 Table 6: Management Involvement in Generating AMT Investment Ideas
Management Levels Generating
Amt Investment Ideas
Percentage of
Respondents
Top
15
77
97
54
46
38
Senior
Middle
Junior
Supervisory
Shop Floor
Number of management levels
involved in A M T idea generation. Questions 3 to 5: The investment planning process Percentage of
respondents
One
Two
Three
Four
Five
10
25
31
29
5 Table 6: Management Involvement in Generating AMT Investment Ideas Proposal development. In 84% of the firms, a project team was established for developing the A M T
proposal, and all respondents noted that these teams involved more than one of the functional areas listed in
Table 6. Similar to the idea generation phase, those functions most commonly involved in the proposal
generation were Production (94%), Production engineering (92%), and Engineering (89%). Proposal assessment. The financial evaluation techniques which respondents used in evaluating A M T
proposals are provided in Table 7. Payback period and discounted cash flow were the most commonly
employed techniques, although all four methods were utilized by almost three-quarters of the firms. In fact,
all firms reported using more than one techniques with 45% reporting the use of all four listed in the table. Respondents were also asked to indicate the importance of each technique on a scale ranging from one
(most important) to five (least important), and the results are also provided in Table 7. Of the responding companies, 55% claimed that the financial assessment had exceeded their normal
investment criteria, while 45% claimed that it had just met their financial criteria. No firm indicated that the
financial assessment failed to meet its normal investment criteria. This finding indicates that although most
companies cited gaining competitive advantage as important, the normal financial investment criteria were
applied. Table 7: Financial Evaluation Techniques Used Table 7: Financial Evaluation Techniques Used Table 7: Financial Evaluation Techniques Used
Financial
techniques
Percentage of
respondents
Average level
of importance
Payback
ROI (undiscounted)
Discounted Cash Flow
Sensitivity Analysis
89
84
89
74
1.59
1.56
2.18
3.36
(1 = most important, 5 = least important) (1 = most important, 5 = least important) 8 (1 = great importance, 5 = no importance) Question 6: Assessment of benefits and risks or difficulties A list of possible benefits resulting from the implementation of A M T was provided as part of the survey
instrument. The benefits included in this list were those that had been frequently mentioned in the
literature. Respondents were also provided the opportunity to identify additional benefits from their AMT
investment under the "Other" category. Respondents were asked to indicate the importance of each item at
the time of the assessment on a scale from one (of great importance) to five (of no importance). The
resulting mean responses are provided in Table 8 where the items are listed in order of importance. The five
items rated of greatest importance were: reduced costs, obtaining competitive advantage, improved quality,
increased throughput, and increased sales. The five items rated of least importance were: enhanced
company image, overcoming production management skill deficiencies, improved ability to respond to
variations in suppliers' lead times, improved ability to respond to engineering changes, and better working
relations. These responses suggests that most firms are focusing on improving costs and quality (now
generally recognised as order qualifiers) and missing the opportunities in terms of improving flexibility and
responsiveness (the order winners). Table 8: Expected Benefits from AMT Investment Table 8: Expected Benefits from AMT Investment Table 8: Expected Benefits from AMT Investment Benefits claimed at the time of assessment
Importance Ratine
Reduced costs
1.3
Obtaining competitive advantage
1.4
Improved quality
1.5
Increased throughput
1.7
Increased sales
1.8
Reduced change over/set up times
1.9
Improved response to variation in product volume
2.0
Increased flexibility
2.1
Improved response to variations in product mix
2.2
Better Mgmt control
2.3
Reduced work in process
2.3
Improved integration of manufacturing IS
2.4
Improved integration of IS across functions
2.6
Improved work force attitudes
2.6
Improved working environment
2.6
Widening product range
2.6
Improved ability to respond to variations in suppliers quality
2.6
Improved ability to implement engineering changes
2.7
Improved Mgmt attitudes
2.8
Reduced product development time
2.8
Improved ability to respond to engineering changes
2.9
Better working relations
2.9
Overcoming skill deficiencies
3.0
Improved ability to respond to variations in suppliers ' lead times
3.1
Overcoming production Mgmt skill deficiencies
3.2
Enhanced comnanv image
3.7 (1 = great importance, 5 = no importance) 9 As with the benefits, a list of potential risks or difficulties anticipated at the time of proposal assessment
was also included in the questionnaire. Respondents were asked to indicate the importance of each item on
a scale from one (of great importance) to five (of no importance). The mean responses to the items are
provided in Table 9. The main risks or difficulties anticipated by the respondents were disruptions during
implementation, failure to achieve financial targets, and an adverse affect on the workflow. Of lesser
importance were opposition by staff/management, A M T skill deficiencies, and project management skill
deficiencies. Concerns about obsolescence of technology and opposition by the workforce were rated as
moderately important. It would appear from these responses that managers lack project management skills
in effectively introducing and implementing AMTs into their organisations. Table 9: Anticipated Risks and Difficulties During Proposal Assessment Anticipated
Importance
Risks and Difficulties
Ratine
Disruptions during implementation
1.68
Failure to achieve financial targets
1.83
Adverse effect on workflow
1.88
Obsolescence of technology
2.33
Problems with interconnection of equipment
2.38
Opposition by workforce
2.67
Lack of integration of Manufacturing IS
2.77
Lack of integration across functions
2.94
Prod Mgmt skill deficiencies
3.00
A M T skill deficiencies
3.06
OpDosition bv staff/manaeement
3.07 4. SUMMARY AND DISCUSSION The previous section presented the overall findings from the American survey. In this section the key
findings from this study are discussed and a general comparison made with the 1993 Australian survey (see
Table 10). As previously mentioned, only a broad comparison will be made between the present American study and
the earlier Australian study. The reasons for this are threefold. First, the three-year time difference between
the two studies. Second, the Australian responding companies were smaller in size. For example, 86%
employed less than 1,000 people compared with 10% for the American sample. In term of annual sales
revenue, 53% of the American companies had sales revenue greater than $1 billion compared with only
12% of the Australian companies. Third, the difference in the type of production system used. Nearly two-
thirds (64%) of the Australian sample used jobbing or batch production compared with one-third (33%) of
the American sample. In spite of these differences a number of similarities were identified between the two countries. The main
reasons for investing in A M T for both American and Australian manufacturers was to obtain a competitive
advantage or obtain financial benefits. These reasons appeared independent of company size. For some
firms, attaining competitive advantage can be achieved through lowered costs, whereas for other firms,
enhanced quality will be needed. Improvements in both costs and quality can be achieved from effectively
implemented AMTs. However, the analysis showed that benefits relating to increased flexibility and
responsiveness were not being considered by the responding American or Australian organizations (see
Table 8). These are the more strategic benefits offered by AMTs and companies must focus on these to 10 obtain a competitive advantage for the future as cost and quality have become prerequisites in many
markets. 4. SUMMARY AND DISCUSSION Table 10: Comparing American and Australian AMT Practices
American Study - 1996
Australian Study - 1993
Reasons for AMT Investments
• Obtaining Financial Benefits
• Obtaining Competitive
Advantage
• Obtaining Competitive
Advantage
• Obtaining Financial Benefit
Size of AMT Investment in the
past 3 Years
<US$ l m :
24%
US$ 1 - 10m:
40%
>US$ 10m:
36%
<A$ lm:
60%
A$ 1 - 10m:
24%
>A$ 10m:
16%
Nature of AMT Investment
Most Popular Computer
Hardware
Personal Computers
On-line Process Instrumentation
Least Popular Computer
Hardware
Mainframes / Micros
Wide Area Networks
Most Popular Computer Software
C A D / C A M
C A D / C A M
Least Popular Computer Software
OPT/MAP
MAP/OPT
Most Popular Plant & Equipment
Computer - Controlled Test
Equipment
CNC Machines
Least Popular Plant & Equipment
Laser Cutting/FMS/AGV's
AGV's/ Laser Cutting
Project Team Established
84% of Responding Firms
83% of Responding Firms
Main Source of AMT
Investment Ideas
Engineering/ Production
Engineering / Production
Production/ Engineering/
Production Engineering
Number of Management Levels
Involved in Idea Generation
One Level Only:
10%
Two Levels:
25%
Three Levels:
31%
Four/Five Levels: 34%
One Level Only:
84 %
Two Levels:
8 %
Three Levels:
0 %
Four/Five Levels:
3 %
Main Functions Involved in
AMT Proposal Development
Production/Production
Engineering/ Engineering
Production/Accounting &
Finance / Engineering
Financial Evaluation
Techniques Used
Payback Period:
89%
ROI (Undiscounted):
84%
Discounted Cash Flow:
89 %
Sensitivity Analysis:
74 %
Payback Period:
69 %
ROI (Undiscounted):
47 %
Discounted Cash Flow:
45 %
Sensitivity Analysis:
40 % Table 10: Comparing American and Australian AMT Practices 11 Table 10: Continued Table 10: Continued
American Study -1996
Australian Study -1993
Perceived Need for Training
Implemented Training
In AMT:
65%
in Production Mgmt: 70%
In AMT:
57%
In Production Mgmt.: 68%
In A M T :
55%
In Production Mgmt.: 68%
In A M T :
60%
In Production Mgmt. :
5 7%
Financial Assessment of
Investment
Exceeded Criteria:
55%
Just Met Criteria:
45%
Failed to Meet Criteria: 0%
Missing Data:
0%
Exceeded Criteria:
45%
Just Met Criteria:
39%
Failed to Meet Criteria: 8%
Missing Data:
8%
Implementation Time
Less Than 6 Months:
7%
6-12 Months:
48%
More Than 12 Months: 45%
Not Yet Completed
0%
Less Than 6 Months: 27%
6-12 Months:
29%
More Than 12 Months: 30%
Not Yet Completed:
14%
Anticipated Benefits - Most
Important
Anticipated Benefits - Least
Important
1. Reduced Costs
2. 4. SUMMARY AND DISCUSSION In comparison, 24% of the American respondents made investments which were less
than US$1 million and 36% made investments which were greater than US$10 million. A factor contributing to this difference was the worldwide slowdown in economic activity during the 1990
to 1993 period. A comparison of the 1993 and the 1989 Australian findings showed that in 1993 Australian
companies were making smaller and fewer A M T investment compared to 1989 (Sohal, 1997). Another contributing factor is the smaller organizations in the Australian sample. This size difference may
also account for the fewer management levels involved in the decision-making process in Australia. Only
one level of Australian management was involved in 84% of the organizations whereas in nearly two-thirds
of the American organizations, three or more levels of management were involved in A M T idea generation
and development. In both countries ideas for A M T investments largely came from the Engineering, Production Engineering
and Production functions and these were also the functions which were mainly involved in developing the
proposal. In addition, a large number of organizations in both America (84%) and Australia (83%)
established project teams to develop the A M T proposal. As shown in Table 10, just over one-quarter of the Australian organizations had completed their A M T
implementation in less than six months. This compares with only 7% of the American firms. One reason
for this could be the smaller size of the A M T investments made by the Australian organizations as well as
the smaller-sized Australian organizations themselves. In this case decision-making may be quicker with
fewer individuals having responsibility for a greater number of functional areas. Clearly, there are risks involved if the planning and implementation periods are too long. One risk is that
competitors can adopt the same technology quickly and obtain the competitive advantage. The other risk is
that the A M T becomes obsolete as the rate of technological advancement has increased significantly over
recent years. Although many American and Australian respondents noted that training is needed in the relevant
technology and production management issues, generally fewer companies implemented training. Clearly,
workers must understand how to operate effectively new equipment, but to gain the business benefits
referred to by Voss (1988), a detailed understanding of a broad range of managerial issues is required. 4. SUMMARY AND DISCUSSION Obtaining Competitive
Advantage
3. Improved Quality
4. Increased Throughput
5. Increased Sales
1. Enhanced Company Image
2. Overcoming Production
Management Skills
3. Improved Ability to Respond
to Variation in Supplier's Lead
Times
4. Improved Ability to Respond
to Engineering Changes
5. Better Working Conditions
1. Reduced Costs
2. Obtaining Competitive
Advantage
3. Improved Quality
4. Increased Throughput
5. Increased Sales
3. Overcoming Production
Management Skills
4. Better Working Relationships
5. Reduced Product Development
Time
6. Widening Product Range
7. Improved Ability to Respond
to Variations in Supplier's
Quality
Anticipated Risks and
Difficulties - Most Important
Anticipated Risks and
Difficulties - Least Important
1. Disruption During
Implementation
2. Failure to Achieve Financial
Targets
3. Adverse Effect on the
Workflow
4. Opposition from
Staff/Management
5. AMT Skill Deficiencies
6. Production Management Skills
1. Disruption During
Implementation
2. Adverse Effect on the
Workflow
3. Failure to Achieve Financial
Targets
4. Opposition from
Staff/Management
5. Obsolescence of Technology
6. Opposition by Workforce
Although competitive advantage was the most important motivation, conventional financial investment
criteria were applied. A higher proportion of American companies made use of the four different financial
evaluation techniques listed in the questionnaire
ROI DCF and Sensitivity Analysis were used by less than Although competitive advantage was the most important motivation, conventional financial investment
criteria were applied. A higher proportion of American companies made use of the four different financial
evaluation techniques listed in the questionnaire. ROI, DCF and Sensitivity Analysis were used by less than 12 half of the Australian sample. This compares with over three-quarters of the American sample making use
of these techniques. A slightly higher proportion of American companies exceeded the normal investment criteria and none
indicated failing to meet their normal investment criteria. In comparison, 8% of the Australian respondents
said that they had failed to meet the normal investment criteria. There are close similarities between American and Australian manufacturers in terms of the types of A M T
adopted. Computer-controlled machines/test equipment and C A D / C A M are the most popular AMTs
adopted in both countries. However, the size of the A M T investments made by Australian manufacturers is
significantly smaller than their American counterparts. For example, 60% of the Australian respondents
made investments which were less than A $ l million and only 16% made investments which were greater
than A$10 million. 4. SUMMARY AND DISCUSSION Case
study based investigations of A M T implementations have shown that people are the most critical factor for
success (Sohal, 1996). The involvement of shop floor personnel must be considered throughout all phases
of planning and implementation of AMT. Mechanisms and procedures must be established so that
experiences are recorded and shared amongst all employees. In terms of the anticipated benefits and risks and difficulties, the responses from the American organizations
are identical to those given by their Australian counterparts. The more strategic benefits offered by AMTs
(i.e. greater
flexibility and responsiveness) are being ignored by both American and Australian 13 organizations and from the responses given to potential risks and difficulties, it appears that managers in
both countries require enhanced project management skills. organizations and from the responses given to potential risks and difficulties, it appears that managers in
both countries require enhanced project management skills. A major problem identified from both the American and the Australian surveys is that very few
organizations undertake a post-implementation audit of their A M T projects. To become a "learning
organization" firms must conduct such audits, and by doing so, establish a database which can be used for
future A M T investments. Our studies suggests that organisational change in terms of the company's culture and structure, as
suggested by Bessant (1994), and Zammutto and O'Connor (1992), is not taking place in organisations that
have invested in AMT. This must happen if the strategic benefits of A M T are to obtained. 5. REFERENCES Adler, P. S., "Managing Flexible Automation", California Management Review, Vol. 30, No. 3, 1988, pp. 34-56. Beatty, C. A., "Implementing advanced manufacturing technologies: rules of the road", Sloan Management
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Kathryn M. Antioch, Chris Selby-Smith and Chris Brook, "Pathways to Cost Effective Prevention, Detection and Treatment
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Mile Terziovski, Amrik Sohal and Simon Moss "Longhudunal Analysis of Quality Management Practices in Australian
Organisations (January, pp.14). 19/98
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Dianne WaddelL "The Role Responsibilities Quality Managers" (January, pp.10). 21/98
Dianne WaddelL "Resistance to Change: A Company's Experience" (January, pp.13). 22/98
Iain L. Densten and Judy H. Gray, "Is Management-by-Exception a Single Factor? (January, pp.13). 5. REFERENCES Sohal, A.S., "Investing in Advanced Manufacturing Technology: Comparing Australia and the United
Kingdom", Benchmarking for Quality Management and Technology: An International Journal, Vol. 1, No. 2, 1994, pp. 24-41. Sohal, A . S., "Assessing A M T implementations: an empirical field study", Technovation, Vol. 16, No. 8,
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(March, pp.16). 24/98
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the UK" (January, pp.18). 25/98
Tim Haslett and Charles Osborne, "Local Decision Rules: Complexity or Chaos?" (January, pp.14). 26/98
Ian Roos and T. Makela, "Employee Reactions to Controlled work Environments: The Dispensing of Anti-Cancer Drugs in
Hospital Pharmacies" (January, pp.29). 27/98
Tim Haslett, Kosmas X. Smyrnios and Charles Osborne, "A Cusp Catastrophe Analysis of Anxiety Levels" (January, pp. 18). 28/98
Megan Seen and Anne Rouse, "Quality Certification: Lessons from Three Software Development Organisations" (March,
pp.13). 29/98
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(March, pp.10). 30/98
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Michael Morrison and Mile Terziovski, "The Relationship Between Quality Management Practices and Learning Outcomes:
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Marjorie Jerrard, "Dinosaurs are not Dead - The Success of the AMIEU (QLD) in Coping with Industrial Relations Change
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John W. Selsky, '"Even we are Sheeps': Cultural Displacement in Management Education" (April, pp.13) 39/98
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Differential transcriptional networks associated with key phases of ingrowth wall construction in trans-differentiating epidermal transfer cells of Vicia faba cotyledons
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BMC plant biology
| 2,015
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cc-by
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Zhang et al. BMC Plant Biology (2015) 15:103
DOI 10.1186/s12870-015-0486-5 Zhang et al. BMC Plant Biology (2015) 15:103
DOI 10.1186/s12870-015-0486-5 Open Access © 2015 Zhang et al.; licensee BioMed Central. 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 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. Hui-Ming Zhang1, Simon Wheeler1, Xue Xia1, Ruslana Radchuk2, Hans Weber2, Christina E Offler1
and John W Patrick1* Hui-Ming Zhang1, Simon Wheeler1, Xue Xia1, Ruslana Radchuk2, Hans Weber2, Christina E Offler1
and John W Patrick1* * Correspondence: John.Patrick@newcastle.edu.au
1School of Environmental and Life Sciences, The University of Newcastle,
Callaghan NSW 2308, Australia
Full list of author information is available at the end of the article Background nematode infection [10]. Events downstream from the
inductive signals largely have been identified by tran-
scriptome analyses of developing cereal seeds and, in
particular, for flange wall ingrowths formed in basal
endosperm TCs (BETCs) of maize [11] and barley [8,12]. A more limited analysis has been reported for the for-
mation of reticulate wall ingrowths in eudicots [10,13]. Transfer cells (TCs) trans-differentiate from a range of
existing cell types belonging to the major tissue systems
of dermal (e.g., epidermal cells), ground (e.g., endosperm
cells;
root
cortical
parenchyma
cells)
and
vascular
(phloem and xylem parenchyma cells; companion cells –
[1]). Once TC development is completed, a 10- to 20-
fold amplification of their plasma membrane surface
area, containing high densities of solute transporters,
confer these cells with an extraordinarily high capacity
for nutrient exchange between apo- and symplasmic
compartments located at bottlenecks for long-distance
transport of nutrients throughout the plant body [1]. An
intricate invaginated complex of cell wall ingrowths pro-
vides structural scaffolding on which the amplified
plasma membrane is arrayed to enhance nutrient flows. The tight coupling of this structure/function relationship
is graphically illustrated by compromised seed filling of
mutants in which TCs, located at the maternal/filial in-
terfaces of both eudicots and monocots, exhibit an at-
tenuated construction of their cell wall ingrowth complex
[2,3]. Since a number of major crop species, including ce-
reals and grain legumes, contain TCs positioned at the
maternal/filial interfaces of their developing seeds [1], the
shrivelled seed phenotype exhibited by TC mutants under-
scores the important role these cells play in determining
crop yields. While there are undoubtedly some shared features,
given the disparate architectures of flange and reticulate
wall ingrowths, we hypothesize that signalling pathways,
cell wall biosynthesis and delivery of polysaccharides to
the wall matrix will have features that are peculiar to
each architectural type of ingrowth wall. This character-
istic likely extends to distinctive elements responsible for
constructing the uniform wall and wall ingrowth papil-
lae. To this end, we used Vicia faba cotyledons, in which
on transfer to culture, their adaxial epidermal cells spontan-
eously undergo trans-differentiation to a TC-morphology
[1]. This experimental system provided the opportunity to
undertake a transcriptome analysis of TC-specific gene net-
works [1]. Abstract Background: Transfer cells are characterized by intricate ingrowth walls, comprising an uniform wall upon which
wall ingrowths are deposited. The ingrowth wall forms a scaffold to support an amplified plasma membrane
surface area enriched in membrane transporters that collectively confers transfer cells with an enhanced capacity
for membrane transport at bottlenecks for apo-/symplasmic exchange of nutrients. However, the underlying molecular
mechanisms regulating polarized construction of the ingrowth wall and membrane transporter profile are poorly
understood. Results: An RNAseq study of an inducible epidermal transfer cell system in cultured Vicia faba cotyledons identified
transfer cell specific transcriptomes associated with uniform wall and wall ingrowth deposition. All functional groups of
genes examined were expressed before and following transition to a transfer cell fate. What changed were the isoform
profiles of expressed genes within functional groups. Genes encoding ethylene and Ca2+ signal generation and
transduction pathways were enriched during uniform wall construction. Auxin-and reactive oxygen species-related
genes dominated during wall ingrowth formation and ABA genes were evenly expressed across ingrowth wall
construction. Expression of genes encoding kinesins, formins and villins was consistent with reorganization of
cytoskeletal components. Uniform wall and wall ingrowth specific expression of exocyst complex components
and SNAREs suggested specific patterns of exocytosis while dynamin mediated endocytotic activity was consistent with
establishing wall ingrowth loci. Key regulatory genes of biosynthetic pathways for sphingolipids and sterols were
expressed across ingrowth wall construction. Transfer cell specific expression of cellulose synthases was absent. Rather
xyloglucan, xylan and pectin biosynthetic genes were selectively expressed during uniform wall construction. More
striking was expression of genes encoding enzymes for re-modelling/degradation of cellulose, xyloglucans, pectins and
callose. Extensins dominated the cohort of expressed wall structural proteins and particularly so across wall ingrowth
development. Ion transporters were selectively expressed throughout ingrowth wall development along with organic
nitrogen transporters and a large group of ABC transporters. Sugar transporters were less represented. Conclusions: Pathways regulating signalling and intracellular organization were fine tuned whilst cell wall construction
and membrane transporter profiles were altered substantially upon transiting to a transfer cell fate. Each phase of
ingrowth wall construction was linked with unique cohorts of expressed genes. Background In addition, because of the temporal sequence
for the deposition of the uniform wall followed by wall in-
growth papillae, gene cohorts associated with these two de-
velopmental events could be distinguished. Hereafter, wall
ingrowth papillae, which represent the initial stage of wall
ingrowth construction [4], are referred to as wall ingrowths. The cell wall ingrowth complex is organized into one
of two architectural types – flange or reticulate [1]. Flange ingrowths form as ribs or bands of wall material
while the more commonly occurring reticulate wall in-
growths arise as numerous wall papillae that develop at
right angles to the original wall. The extent of their re-
ticulation varies from cylindrical papillae alone to ones
in which papillae branch and fuse to generate fenes-
trated wall layers [4]. Immediately preceding construc-
tion of reticulate, but not flange wall ingrowths [5], a
structurally distinctive wall-layer, the so-called uniform
wall, is rapidly laid down over the pre-existing primary
wall of the trans-differentiating cell to a thickness that
can extend up to 50% of that of the pre-existing primary
wall [6]. Collectively, the uniform wall and reticulate wall
ingrowths form the ingrowth wall [1]. Abstract Keywords: Transfer cell, Transcriptome, Cell wall construction, Uniform wall, Wall ingrowth, Transporters, Seed
development, Vicia faba * Correspondence: John.Patrick@newcastle.edu.au
1School of Environmental and Life Sciences, The University of Newcastle,
Callaghan NSW 2308, Australia
Full list of author information is available at the end of the article Zhang et al. BMC Plant Biology (2015) 15:103 Page 2 of 13 Plant growth conditions, cotyledon culture and collection
of tissue samples for sequencing V. faba L. (cv. Fiord) plants were raised under controlled
environmental conditions [13]. Cotyledons of harvested
pods were surgically excised and cultured aseptically on
liquid MS medium for specified times (see below) before
being fixed in 75% ethanol and 25% acetic acid for 1 h at
4°C. Peels of the adaxial epidermis and blocks of storage
parenchyma cells (2 × 2 × 1 mm) were surgically re-
moved from each fixed cotyledon. Collected tissues
were immediately snap-frozen in liquid nitrogen and
stored at -80°C until used for RNA extraction. Selection of times to obtain tissue samples from cul-
tured cotyledons was based on the temporal pattern of
uniform wall deposition preceding that of wall ingrowths
(Figure 1 and, for more information, see Additional file 1). To this end, for the reference library, a representative bal-
ance of genes induced to regulate uniform wall and wall
ingrowth construction was obtained by collecting 6 mg of
epidermal peels from each of freshly harvested cotyledons
(0 h – reference to identify genes induced/switched off
during trans-differentiation) and cotyledons cultured for 1
and 3 h (dominated by expression of genes regulating uni-
form wall formation), 6 and 9 h (dominated by expression
of genes regulating deposition of wall ingrowths as uni-
form wall formation ceased). To identify expression of Despite the central role the ingrowth wall, and particu-
larly its wall ingrowth component, plays in underpinning
transport function of TCs, little is known about the
mechanisms responsible for inducing and then orches-
trating its construction. Transcriptional analyses of cells
committed to a developmental pathway leading to form-
ing a TC-morphology have identified up-regulated ex-
pression of genes encoding components of signalling
pathways for abscisic acid, auxin, ethylene, reactive oxy-
gen species (ROS) and Ca2+ in developing seeds [1,7-9]
and for auxin and ethylene in giant cells induced by Page 3 of 13 Zhang et al. BMC Plant Biology (2015) 15:103 Uniform wall
Wall ingrowth
EC
Uniform
wall
enriched
Wall
ingrowth
enriched
Reference library
Uniform
wall
enriched
EC
Wall
ingrowth
specific
cDNA libraries for transcriptome analyses
Relative deposition rate
Sampling times
O
3
6
9
12
15
Culture time (h)
Figure 1 Tissue sampling times (vertical arrows) informed by the
sequential temporal deposition of the uniform wall followed by wall
ingrowth papillae. Plant growth conditions, cotyledon culture and collection
of tissue samples for sequencing Note that across the period sampled, wall ingrowth
papillae continue to be deposited and have not commenced to form
the first fenestrated layer [4]. EC, epidermal cell. TC-specific genes regulating uniform wall and wall in-
growth construction, epidermal peels (15 mg) and storage
parenchyma tissue (30 mg) were sampled from replicate
batches of freshly harvested cotyledons and cotyledons
cultured for 3 h (dominated by uniform wall construction)
and 12 h (wall ingrowth construction alone and for add-
itional information see Additional file 1 and Results). Using Illumina CASAVA pipeline version 1.8.2, raw
reads were trimmed with adaptor filtering and a read
length cut-off of 50%. Thereafter, filtered reads with over
20% of their nucleotides having a Q score < 20 (probabil-
ity of sequencing error > 0.01) or their sequences having
a N reading over 5% were removed. To verify that each sampled population of cultured coty-
ledons was trans-differentiating, percentages of epidermal
cells forming wall ingrowths of a sub-set of cotyledons at
12 h of culture were scored (see Additional file 1 for
Methods). Plant growth conditions, cotyledon culture and collection
of tissue samples for sequencing Note that across the period sampled, wall ingrowth
papillae continue to be deposited and have not commenced to form
the first fenestrated layer [4]. EC, epidermal cell. sampled from each biological replicate of epidermal and
storage parenchyma RNA extracts. Uniform wall
Wall ingrowth
EC
Uniform
wall
enriched
Wall
ingrowth
enriched
Reference library
Uniform
wall
enriched
EC
Wall
ingrowth
specific
cDNA libraries for transcriptome analyses
Relative deposition rate
Sampling times
O
3
6
9
12
15
Culture time (h) Total RNA quality was verified by determining the in-
tegrity of the 25S and 18S RNA with an Agilent 2100
Bioanalyzer (Agilent, USA and see Additional file 2). The cDNA libraries were prepared from poly-A mRNA
isolated from 1 μg of total RNA using a TruSeq® RNA v2
sample prep kit (Illumina, USA) according to manufac-
turer’s instructions. cDNA quality was evaluated by de-
termining
size
and
purity
using
an
Agilent
2100
bioanalyzer (see Additional file 3). cDNA fragments, ran-
ging from 100 – 700 bp, were selected by agarose gel
purification. For the reference library, selected cDNA
fragments were 100 bp pair-end sequenced in a single
lane on an Illumina HiSeq 2000 platform (Australian
Genome Research Facility, Melbourne). Relative deposition rate To characterize gene cohorts linked with uniform wall
and wall ingrowth deposition, only biological replicates
with the anticipated 70% (or more) of their epidermal
cells at 12 h of cotyledon culture containing detectable
wall ingrowths [14] were processed for Illumina sequen-
cing. In three compliant biological replicates for each
specified harvest time, cDNA libraries (18 in total) were
prepared from total RNA extracts of epidermal peels
and storage parenchyma tissues as indicated above (and
see Additional files 2 and 3 for RNA and cDNA quality
checks). cDNA fragments were purified separately from
each sample and indexed with unique nucleic acid iden-
tifiers
(Illumina
TruSeq
V2
index
sequence). The
indexed cDNA libraries were diluted to an average con-
centration of 10 nM and pooled in equal volumes (10 μL
of each library) to generate the final mixed cDNA pool
for sequencing. The pool was then 100 bp pair-end se-
quenced in two lanes on an Illumina HiSeq 2000 plat-
form (Australian Genome Research Facility, Melbourne). Figure 1 Tissue sampling times (vertical arrows) informed by the
sequential temporal deposition of the uniform wall followed by wall
ingrowth papillae. De novo assembled transcriptome library for ingrowth
wall deposition Mapping reads to the reference library, determining
differentially expressed genes and GO-enrichment analysis
Reads sequenced by the Illumina HiSeq 2000 platform
from mRNA extracts of cotyledon epidermal peels and
storage parenchyma tissues were analyzed by BGI. Raw
reads were filtered as described for the reference tran-
scriptome library. Clean reads were aligned to the refer-
ence sequences (generated as described above) using the
SOAPallgner/SOAP2 pipeline. No more than 5 mis-
matches per read were allowed to ensure high quality
alignment. Sequence coverage of unigenes in each sam-
ple was calculated. During alignment, SOAPallgner/
SOAP2 reported the number of mapped reads per kilo
base per million reads (RPKM) as a measure of tran-
script abundance of each unigene. Transcripts with
RPKMs < 0.45 were considered not to be expressed and
were removed from the data sets. Sequencing of reference library cDNA fragments on an
Illumina HiSeq 2000 platform generated 181,419,640
pair-end reads (100 bp). After filtering raw reads,
126,200,279 high-quality reads, in which 97% of nucleo-
tides have a Phred quality score of ≥Q20 level (error
probability ≤0.01) (Table 1) were de novo assembled into
131,279 contigs (>200 bp) with a N50 value of 980 bp
and an average length of 423 bp. Clustering yielded
74,659
unigenes
with
33,902
consensus
sequences
grouped into 11,083 distinct clusters and 41,567 single-
tons (Table 1). This unigene population had a N50 value
of 1723 bp and an average length of 1076 bp. High in-
tegrity and accuracy of the assembly was indicated by
85.2% of filtered reads mapping to the assembled tran-
scriptome with 41.4% of reads uniquely mapping to the
transcriptome (Table 1). The uniquely mapped reads had
an average coverage depth of 8.4 (12,620 bp per mRNA). Differentially expressed genes (DEGs) were determined
using a computational algorithm based on digital gene
expression profiles [16] to perform pairwise differential
expression analysis. Multiple testing of the comparisons
was corrected using the FDR method [17]. Sequences
with a corrected FDR P value of no more than 0.05 were
selected. After this correction, genes exhibiting a differ-
ential expression of two-fold or more (P < 0.05) were
identified as DEGs. Subcellular localization of selected
proteins encoded by unigenes was predicted using the
WoLF PSORT algorithm. BLASTX searches of publically available protein data-
bases, using the putative unigenes as query sequences,
yielded matches for 68.9% of the unigenes. De novo assembly, annotation and GO classification of
transcriptome library Total RNA was extracted using Qiagen (USA) RNeasy
plant mini kits. Contaminating genomic DNA was re-
moved using DNase I. Filtered reads from the cDNA library were assembled de
novo into contigs by Beijing Genomics Institution (BGI,
Shenzhen,
China)
using
Trinity
software
release-
20130225 [15] with a k-mer of 25 and a minimum k-mer
threshold abundance of 2 (min_kmer_cov 2). The reads
were then mapped back to contigs to assemble unigenes
using Trinity Butterfly that filtered out transcriptional
artifacts, misassembled transcripts and poorly supported
transcripts. Potential redundant sequences were grouped, For preparation of an epidermal-specific TC transcrip-
tome reference library, 1 μg of total RNA was aliquoted
from the total RNA extracts of each specified harvested
time point. The RNA aliquots were combined to gener-
ate a temporally mixed RNA library (5 μg of total RNA). To identify genes responsible for uniform wall and wall
ingrowth formation, 2 μg aliquots of total RNA were Zhang et al. BMC Plant Biology (2015) 15:103 Page 4 of 13 using the TGI Clustering Tool set with a minimum 40%
sequence overlap and over 80% sequence identity. Assembled unigene sequences were annotated by
alignment to the following publically available databases:
NCBI nr (non-redundant, see http://www.ncbi.nlm.nih. gov/refseq/); Swissprot (http://www.uniprot.org/); KEGG
(http://www.genome.jp/kegg/); COG (https://www.ncbi. nlm.nih.gov/COG/), using BLASTX with an e-value
threshold of 1e-5. Unigenes with no hit in BLASTX were
predicted using ESTScan. using the TGI Clustering Tool set with a minimum 40%
sequence overlap and over 80% sequence identity. 95°C for 15 s, 60°C for 20s, 72°C for 30 s; steps 2 to 4
were repeated 50 times. High-resolution melting curves
(72–95°C) following the final PCR cycle checked the
specificity of the PCR products. For each cDNA sample,
technical duplicates in each of three biological repli-
cates were tested. Four housekeeping gene candidates
were assessed using GeNorm. Relative expression levels
of each unigene were determined using the two stand-
ard curves method. Assembled unigene sequences were annotated by
alignment to the following publically available databases:
NCBI nr (non-redundant, see http://www.ncbi.nlm.nih. gov/refseq/); Swissprot (http://www.uniprot.org/); KEGG
(http://www.genome.jp/kegg/); COG (https://www.ncbi. nlm.nih.gov/COG/), using BLASTX with an e-value
threshold of 1e-5. Unigenes with no hit in BLASTX were
predicted using ESTScan. De novo assembled transcriptome library for ingrowth
wall deposition BLASTX-
derived alignments predicted sequence orientation for
43,910 of the unigenes and identified 43,703 open read-
ing frames. Taxonomic distribution of the annotated
unigenes by Blast2GO demonstrated that over 85% uni-
genes had their best hits (smallest e value) with their ho-
mologs in other legume species (see Additional file 7). The raw reads and assembled unigene sequences are Transcriptome networks specifically expressed during
uniform wall or wall ingrowth formation g
The temporal sequence of uniform wall followed by wall
ingrowth deposition (Figure 1; Additional file 1) pro-
vided the opportunity to separate the TC-specific cohort
of expressed genes into groups linked with the two
phases of ingrowth wall construction and those shared
between these phases as follows. The latter were identi-
fied by manual inspection of the 3- and 12-h gene ex-
pression profiles (Figure 2B). The remaining expressed
genes were then specifically linked with either uniform
wall or wall ingrowth formation and these were identified
on the following grounds. At 12 h of cotyledon culture,
uniform wall construction had ceased and TC-specific
gene expression is solely committed to deposition of wall
ingrowths (Figure 1; Additional file 1). Thus the expres-
sion profile at 12 h contained transcripts specifically re-
lated to constructing wall ingrowths alone (Figure 2B). In
contrast, at 3 h of cotyledon culture, uniform wall con-
struction
is
proceeding rapidly
concurrent
with
a
smaller population of cells starting to deposit wall in-
growths (Figure 1, Additional file 1). Hence at 3 h of
culture, genes involved in uniform wall and wall in-
growth construction would be co-expressed. However,
those exclusively directing deposition of wall ingrowths
would be expressed at relatively lower levels. Thus sub-
tracting the 12-h (wall ingrowths alone) from the 3-h
(uniform wall plus wall ingrowths) gene expression pro-
file identified those genes specifically expressed during
uniform wall construction (Figure 2B). An estimated 27,244 unigenes were expressed in ad-
axial epidermal cells of developing V. faba cotyledons
(Figure 2A). Of these epidermal cell unigenes, 21,293
were shared with the underlying storage parenchyma
cells leaving 5,951 unigenes that were epidermal cell
specific (Figure 2A). Upon transiting to a TC fate, ex-
pression of 2,805 unigenes in the precursor epidermal
cells was switched off (Figure 2A). The combined tran-
scriptomes of trans-differentiating TCs at 3 and 12 h of
cotyledon culture totalling 33,472 unigenes approxi-
mated those detected by RNAseq analyses of differenti-
ating BETCs in barley grains (42,086 – [8]) and of
nematode giant TCs in rice roots (42,756 unigenes at
7 days post infection; 41,179 genes at 14 days post in-
fection – [18]). Seventy-three % of the epidermal TC A
B
Figure 2 Numbers of unigenes expressed preferentially in, or shared
between, (A) cell types and (B) uniform wall and wall ingrowth
formation occurring within adaxial epidermal cells of cultured V. faba cotyledons. Global gene expression patterns during early phases of
trans-differentiation to a TC-morphology Total RNA was extracted from epidermal peels and stor-
age tissue blocks at 0, 3 and 12 h of cotyledon culture
and processed for RNAseq on an Illumina platform (see
Methods). Between 19 – 37 million clean reads were
generated for each biological replicate (see Additional
file 8). An average of 85% of the clean reads mapped to
expressed unigenes. Of these reads, 60% mapped with a
perfect match and 40% with a mismatch less than 5 bp
(Additional file 8). Total numbers of unigenes, detected
within epidermal and storage parenchyma cells across
cotyledon culture were temporally stable (Additional
file 9). Some 70% of the unigenes exhibited expression
levels > 0.45 RPKM within a cell type and these were
dominated by unigenes with expression levels ranging
from 0.5 to 10 RPKM (80%). Quantitative RT-PCR validation A collection of 15 unigenes with different expression
patterns (see Additional files 4 and 5 for expression pat-
tern information) was selected. cDNA was converted
from the same RNA samples sent for Illumina sequen-
cing using QuantiTect Reverse Transcription Kit (Qiagen,
USA). Primers were designed using Primer 3 plus
(Whitehead Institute for Biomedical Research, USA)
and synthesized by Sigma-Aldrich Australia (see Additional
file 6 for primer sequences). For each qRT-PCR reaction a
15 μL system containing 7.5 μL SYBR Green master mix
(Qiagen, USA), 0.375 μL of forward and reverse primers
(10 μM), 1.75 μL of nuclease free H2O and 5 μL cDNA was
set up. The following PCR cycle was used: 95°C for 5 min, Table 1 Raw, filtered and mapped reads used for the de
novo assembly of the reference transcriptome library for
adaxial epidermal cells of freshly harvested and cultured
V. faba cotyledons undergoing trans-differentiation to a
TC morphology
Category
Number
Percentage (compared with
total number of reads)
Raw reads
181,419,640
100%
Clean reads
126,200,279
69.56%
Mapped reads
107,093,666
59.03%
Uniquely-mapped reads
44,339,744
24.44%
Multiple-mapped reads
62,753,921
34.59% Table 1 Raw, filtered and mapped reads used for the de
novo assembly of the reference transcriptome library for
adaxial epidermal cells of freshly harvested and cultured
V. faba cotyledons undergoing trans-differentiation to a
TC morphology Table 1 Raw, filtered and mapped reads used for the de
novo assembly of the reference transcriptome library for
adaxial epidermal cells of freshly harvested and cultured
V. faba cotyledons undergoing trans-differentiation to a
TC morphology Page 5 of 13 Zhang et al. BMC Plant Biology (2015) 15:103 available at European Nucleotide Archive, accession
number: PRJEB8906. available at European Nucleotide Archive, accession
number: PRJEB8906. transcriptome was represented by ongoing expression
of genes by their precursor epidermal cells whilst 27%
were induced (Figure 2A). The percentage of induced
genes
was
comparable
to
the
proportion
of
up-
regulated genes in nematode giant TCs [18]. Of the in-
duced genes, 66% were TC specific and the remainder
was shared with the underlying storage parenchyma
cells (Figure 2A). Ten % of the epidermal cell genes
were silenced in transiting to an epidermal TC identity and
these were replaced 3-fold by induced genes (Figure 2A). TC specific genes were inspected manually to remove du-
plicates and those with < 70% coverage to yield a total of
4,283 unigenes (Figure 2B). Transcriptome networks specifically expressed during
uniform wall or wall ingrowth formation Temporal patterns of expression of
selected genes from the targeted functional categories
determined by qRT-PCR were consistent with those de-
rived from Illumina sequencing (Additional file 15), BlastX searches, at a stringency of < e-5, established
that 41% of the TC-specific genes and 34% of epidermal
cell genes switched off shared homology with known
genes listed in public databases (Table 2). The 59/66 % of
un-known transcripts equates with a similar value reported
for the transcriptome of developing barley BETCs [12]. Table 2 provides a summary of the changes in expres-
sion of selected functional categories of TC-specific
genes that are known to be central to TC development
and function. For all categories, numbers of epidermal
cell genes switched off in transiting to a TC fate were re-
placed by increased numbers of TC-specific transcripts
between 3- to 12-fold. Amongst these, expression of
transcription/translation, receptor kinase/kinases, cyto-
skeleton/vesicle trafficking, matrix polysaccharides and
defense genes contributed to the two-fold greater num-
ber of genes expressed during uniform wall compared to
wall ingrowth construction (Table 2; Figure 2B). In
addition, a portion of uniform wall associated expressed
genes were linked with a co-occurring burst in cell div-
ision/expansion (Additional file 10). Transcriptome networks specifically expressed during
uniform wall or wall ingrowth formation BlastX searches, at a stringency of <
that 41% of the TC-specific genes and 3
cell genes switched off shared homolo
genes listed in public databases (Table 2). un-known transcripts equates with a simil
for the transcriptome of developing barley
Table 2 provides a summary of the ch
sion of selected functional categories
genes that are known to be central to T
and function. For all categories, numbe
cell genes switched off in transiting to a
placed by increased numbers of TC-spe
between 3- to 12-fold. Amongst these
transcription/translation, receptor kinas
skeleton/vesicle trafficking, matrix poly
defense genes contributed to the two-fo
ber of genes expressed during uniform w
wall ingrowth construction (Table 2;
addition, a portion of uniform wall asso
genes were linked with a co-occurring b
ision/expansion (Additional file 10). Gen
Table 2 Numbers of annotated expressed g
epidermal cells transiting to a TC fate and f
to a TC morphology
Functional category
E
sw
Total number of expressed genes
Total number of annotated genes
DNA synthesis and modelling
Transcription/translation
Signalling
Receptor kinase/kinase
Hormonal
ROS/Ca2+
Intracellular organization
Cytoskeleton/vesicle trafficking
Membrane microdomains
Cell wall enzymes and structural proteins
Cellulose
Matrix polysaccharides
Structural proteins
Membrane transporters
Defense
Flavonoid synthesis and compartmentation
Zhang et al. BMC Plant Biology (2015) 15:103 entire flavonol pathway were switched on during TC de-
velopment (Table 2). deposition. Genes whose expression levels did not
change accounted for 60% of the common cohort
(Table 2). A more detailed analysis was undertaken of the tem-
poral expression of TC-specific genes contained in func-
tional
groups
that
are
at
the
heart
of
regulating
development of the TC’s structural specialization of a
polarized ingrowth wall that realises their functional
capacity to support high rates of nutrient transport
across their plasma membranes [1]. These categories in-
cluded hormonal and ROS/Ca2+ signal generation and
their signalling pathways, cytoskeleton/vesicle trafficking
and lipid biosynthetic enzymes related to microdomain
formation, cell wall biosynthetic and remodelling en-
zymes along with cell wall structural proteins and mem-
brane transporters (see Additional files 11, 12, 13 and 14
inclusive). These data are supplemented with estimates
of their annotation and relative expression levels at spe-
cified stages of ingrowth wall construction along with
noting whether their homologues have been detected in
transcriptomes of BETCs and nematode giant TCs
(Additional file 5). TC specific genes separated into those genes expressed throughout uniform wall (UW) and wall ingrowth (WI) formation and those that are specific to each of
these wall-building phases. Genes expressed throughout ingrowth wall formation are separated into groups depending on their differential expression patterns of
no change, up-regulated during UW or WI formation (for more details, see Results). Transcriptome networks specifically expressed during
uniform wall or wall ingrowth formation Genes encoding the Table 2 Numbers of annotated expressed genes ascribed to specified functional categories for genes switched off in
epidermal cells transiting to a TC fate and for those specifically expressed in epidermal cells undergoing trans-differentiation
to a TC morphology
Functional category
Epidermal
switched-off
genes
Transfer cell specific expressed genes
UW/WI
no change
UW up-regulated
UW specific
WI up-regulated
WI specific
Total number of expressed genes
1381
851
366
1898
214
958
Total number of annotated genes
468
364
217
647
138
407
DNA synthesis and modelling
17
8
1
13
2
13
Transcription/translation
32
27
11
31
3
19
Signalling
Receptor kinase/kinase
15
17
20
37
8
16
Hormonal
4
6
6
13
8
14
ROS/Ca2+
1
4
9
6
1
6
Intracellular organization
Cytoskeleton/vesicle trafficking
10
6
2
11
1
7
Membrane microdomains
0
3
5
3
1
7
Cell wall enzymes and structural proteins
Cellulose
3
0
1
3
1
1
Matrix polysaccharides
9
4
6
14
3
7
Structural proteins
2
3
3
3
5
5
Membrane transporters
14
13
9
12
1
13
Defense
4
10
21
12
1
6
Flavonoid synthesis and compartmentation
5
6
4
3
4
8
TC specific genes separated into those genes expressed throughout uniform wall (UW) and wall ingrowth (WI) formation and those that are specific to each of
h
ll b ildi
h
G
d h
h
i
h
ll f
i
d i
d
di
h i diff
i l
i
f rs of annotated expressed genes ascribed to specified functional categories for genes switched off in
transiting to a TC fate and for those specifically expressed in epidermal cells undergoing trans-differen Transcriptome networks specifically expressed during
uniform wall or wall ingrowth formation Only unigenes with a RPKM value > 0.45 in all three
biological replicates were defined as ‘expressed’ in one or more cell
types/phases of ingrowth wall deposition. For (B), only unigenes
with a coverage of > 70% were listed for further analysis. EC- adaxial
epidermal cell; TC – epidermal TC trans-differentiated from adaxial
epidermal cell; SP- storage parenchyma cell; UW - uniform wall;
WI- wall ingrowth. A B A B The above exercise demonstrated that of the TC-
specific expressed genes, 66% were selectively linked
with uniform wall (44%) or wall ingrowth (22%) forma-
tion with the remainder (34%) being expressed through-
out
ingrowth
wall
formation
(Figure
2B
and
see
Additional file 4 for their RPKM gene expression values). This latter cohort of genes was categorised according to
their relative expression levels in the two phases of in-
growth wall formation, that is, no change and up-
regulated
during
uniform
wall
or
wall
ingrowth Figure 2 Numbers of unigenes expressed preferentially in, or shared
between, (A) cell types and (B) uniform wall and wall ingrowth
formation occurring within adaxial epidermal cells of cultured V. faba cotyledons. Only unigenes with a RPKM value > 0.45 in all three
biological replicates were defined as ‘expressed’ in one or more cell
types/phases of ingrowth wall deposition. For (B), only unigenes
with a coverage of > 70% were listed for further analysis. EC- adaxial
epidermal cell; TC – epidermal TC trans-differentiated from adaxial
epidermal cell; SP- storage parenchyma cell; UW - uniform wall;
WI- wall ingrowth. Figure 2 Numbers of unigenes expressed preferentially in, or shared
between, (A) cell types and (B) uniform wall and wall ingrowth
formation occurring within adaxial epidermal cells of cultured V. faba cotyledons. Only unigenes with a RPKM value > 0.45 in all three
biological replicates were defined as ‘expressed’ in one or more cell
types/phases of ingrowth wall deposition. For (B), only unigenes
with a coverage of > 70% were listed for further analysis. EC- adaxial
epidermal cell; TC – epidermal TC trans-differentiated from adaxial
epidermal cell; SP- storage parenchyma cell; UW - uniform wall;
WI- wall ingrowth. Zhang et al. BMC Plant Biology (2015) 15:103 Page 6 of 13 deposition. Genes whose expression
change accounted for 60% of the c
(Table 2). Discussion The ability to obtain peels of cotyledon epidermal cells
permitted cell-specific transcriptomes of these cells to be
identified as they trans-differentiated to a TC-morphology
[13]. In addition, developmental stage-specific transcrip-
tomes were isolated (Figure 2, Additional files 5, 11, 12,
13, and 14) by taking advantage of the temporal disjunc-
tion between uniform wall and wall ingrowth construction
(Figure 1, Additional file 1). We interrogated these TC-
specific transcriptomes to discover genes encoding
proteins of functional categories considered to contrib-
ute to developing a transport capable TC (Figure 3 and
see Additional files 5, 11, 12, 13, and 14). Transcrip-
tional cascades are initiated by auxin and ethylene
[13,19,20] along with ROS and Ca2+ serving as second-
ary messengers and positional signals [6,9]. The sub-
stantial numbers of expressed receptor kinases/kinases
and transcription factors, point to these forming a sig-
nificant component of the signalling network (Table 2
and see [12]). Re-organization of the cytoskeleton and
vesicle trafficking together with membrane microdo-
mains,
under
control
of
the
inductive
signalling Flavonoid synthesis and compartmentation TC specific genes separated into those genes expressed throughout uniform wall (UW) and wall ingrowth (WI) formation and those that are specific to each of
these wall-building phases. Genes expressed throughout ingrowth wall formation are separated into groups depending on their differential expression patterns of
no change, up-regulated during UW or WI formation (for more details, see Results). Page 7 of 13 Zhang et al. BMC Plant Biology (2015) 15:103 suggesting that the Illumina data are relatively reliable
(Table 2, Additional files 4, 5, 11, 12, 13, and 14). suggesting that the Illumina data are relatively reliable
(Table 2, Additional files 4, 5, 11, 12, 13, and 14). network, would be expected to direct targeted delivery
of cargos containing cell wall biosynthetic enzymes
and cell wall components to construct the polarized
uniform wall and localized wall ingrowths (Figure 3
and Additional file 1). The latter provide a scaffold to
support an amplified plasma membrane surface area to
which membrane transporters are targeted through a
polarized endomembrane secretory system to confer en-
hanced TC transport function (Figure 3). In addition, tar-
geted
positioning
of
transporters
is
responsible
for
generating the polarized extracellular ROS [6] and cyto-
solic Ca2+ [9] signals and possibly altering positioning of
auxin transporters that may contribute to generating the
auxin maximum ([13]; Figure 3). The following discussion
focuses on expressed genes belonging to these three
functional categories namely, signals and signalling
pathways, intracellular organization and transport func-
tion (Figure 3). The discussion starts with seeking out
candidates responsible for generating the developmen-
tal signals and downstream signalling pathways. In all
cases, statements regarding gene identity and function
should be considered as putative. Signals and signalling pathways Hormonal signals, acting in series with ROS and Ca2+
[1], likely activate expression of receptor kinases/kinases
and transcription factors to induce TC trans-differenti-
ation (Figure 3). ROS/Ca
2+
Hormones
Receptor kinases/kinases
Transcription factors
SIGNALS & SIGNALLING
PATHWAYS
INTRACELLULAR ORGANIZATION
Cytoskeleton/vesicle trafficking
Membrane microdomains
TRANSPORT FUNCTION
CW biosynthesis/deposition pattern
Membrane transporter/targeting pattern
+
+
Figure 3 Regulatory interrelationships (red arrows) between the
functional categories of expressed genes that contribute to developing
a functional transfer cell. SIGNALS & SIGNALLING
PATHWAYS Auxin, ethylene and abscisic acid form a complex of
primary signals putatively regulating TC development Hormones Receptor kinases/kinases
Transcription factors p
y
g
p
y
g
g
p
Consistent with previous findings for epidermal TCs
[13,19] and those reported for nematode giant TCs (10),
induction of trans-differentiation was accompanied by
changes in auxin activity (as determined by expression
of auxin-induced genes) increasing five-fold between
uniform wall and wall ingrowth formation driven by an
auxin maxima generated by enhanced auxin biosynthesis
and disrupted polar transport (Additional file 11). For
instance, auxin biosynthesis could be elevated by expres-
sion of indole-3-acetate O-methyltransferase IAA, that
catalyzes synthesis of a biologically more active IAA,
methyl-indole-3-acetic acid [21] and indole-3-glycerol
phosphate synthase that starts the tryptophan independ-
ent IAA biosynthetic pathway [22]. Polar auxin transport
was likely disrupted by de-localized distribution of
expressed
auxin
efflux
and
influx
carriers
by
co-
expression of KAN and HD-ZIPIII [23]. As a point of
distinction between mechanisms regulating flange and
reticulate wall ingrowths, in contrast to the latter
[10,13,19], differentially expressed auxin-related genes
were not detected in developing BETCs [8,11]. Figure 3 Regulatory interrelationships (red arrows) between the
functional categories of expressed genes that contribute to developing
a functional transfer cell. Initiation of epidermal TC development is linked with
a substantive burst in ethylene biosynthesis, regulated by Zhang et al. BMC Plant Biology (2015) 15:103 Page 8 of 13 an auxin-induced expression of ACC synthases [19],
driving expression of ethylene response factors (ERFs)
[19] and particularly so for uniform wall formation
(Additional file 11). For example, ERF2.6 and SHINE ex-
pression could invoke cell wall biosynthesis through re-
spectively up-regulating callose and cellulose biosynthesis
(Additional file 13 and see [24,25]). Strong expression of
ethylene signalling genes during uniform wall formation
corresponded with that reported for early phases of wall
ingrowth construction in barley BETCs [8] and nematode
giant TCs [10]. upon a spatio/temporal fine-tuning of ROS. For instance,
antioxidant capacity could be down regulated by ascorbic
acid oxidation catalyzed by an extracellular L-ascorbate
oxidase ([33]; Additional file 11) whilst concurrent ROS
degradation by peroxidation [32] could be mediated by
carboxymethylenebutenolidase-like
protein
(Additional
file 11), secreted to the cell wall [34]. In contrast to epider-
mal TCs, differentially expressed peroxidases were not
detected in barley BETCs [8] and were strongly down-
regulated in nematode giant TCs [10]. Auxin, ethylene and abscisic acid form a complex of
primary signals putatively regulating TC development Loci at which wall ingrowths are deposited are defined
by a cytosolic Ca2+ signal spatially organized into narrow
plumes shaped by co-operative activities of plasma
membrane
Ca2+-permeable
channels
organized
into
clusters surrounded by Ca2+-ATPases [9]. However, un-
like the unknown DHP receptor Ca2+-permeable chan-
nels responsible for generating the Ca2+ signal [9], ion
conductances of the expressed SKOR, annexin and cyclic
nucleotide gated channels are not inhibited by verapamil
or nifedipine (e.g. [35]). This, together with channel ex-
pression coinciding with uniform wall construction
(Additional file 11), points to an additional role for Ca2+
signalling in transiting precursor epidermal cells to a TC
fate. A conclusion that accommodates Ca2+ signalling
genes being expressed in both flange [8] and reticulate
forms [18,36] of developing TCs. Ca2+ signalling would
appear to be mediated through Ca2+-dependent protein
kinases during uniform wall formation while a calmodu-
lin signalling route could operate when wall ingrowths
are being deposited as suggested by expression of three
IQ-domain containing proteins (Additional file 11) that
bind calmodulins to facilitate their function. A switch to a specific ABA signalling pathway through-
out ingrowth wall formation was suggested by expression
of PYL6, an ABA receptor [26], LEC1, tightly connected
with ABA signalling regulating AB13 and AB15 [27] and
ERF RAP2.6 that acts through an AB14-mediated signal-
ling pathway ([28]; Additional file 11). ABA also acts dur-
ing wall ingrowth formation (Additional file 11). ABA
action throughout ingrowth wall formation in epidermal
TCs contrasts with that for barley BETCs where ABA in-
duces a maturation program once wall ingrowth depos-
ition ceases [8]. Three gibberellin biosynthetic genes with the bio-
logical activities of their products being modulated by
two gibberellin 2-oxidases and Short Internode Related
during uniform wall formation are expressed (Additional
file 11). These gibberellins likely regulate cell division
and expansion (Additional file 10 and see [29]). An ab-
sence of gibberellin activity during wall ingrowth con-
struction
was
suggested
by
co-expression
of
Short
Internode Related and gibberellin 2-beta-dioxygenase 8-
like (Additional file 11; [29]). Residual cytokinin levels in
the
developing
epidermal
TCs
would
be
depleted
through degradation by the expressed cytokinin dehydro-
genase [30] and by conjugation to an inactive form cata-
lyzed by the five cytokinin-O-glucosyltransferases ([31];
Additional file 11). Auxin, ethylene and abscisic acid form a complex of
primary signals putatively regulating TC development No components of the salicylic acid
or brassinosteroid signalling pathways were detected in
the TC-specific transcriptome (Additional files 4 and 11)
indicating that these pathways likely did not play a role
in trans-differentiation to a TC state. Receptor kinases/kinases represent a significant component
of the signalling network
TC
ifi
ki
/ki
d
j TC-specific receptor kinases/kinases represented a major
component of the signalling networks (59%) expressed
within the epidermal TCs (Table 2). While their func-
tions are unknown, similar to nematode giant TCs [10],
members of a two component signalling system present
in barley BETCs [12], was not detected in the epidermal
TC cohort of receptor kinases/kinases. Thus, the pres-
ence/absence of a two component signalling system
could underpin the distinction between flange [12] and
reticulate ([10]; this study) TC wall architectures. Reactive oxygen species and Ca2+ serve as secondary
messengers directing ingrowth wall construction Extracellular ROS, produced by ethylene-induced re-
spiratory burst oxidases (rbohs), regulate biosynthesis
and polarized deposition of the uniform wall in epider-
mal TCs [6,32]. Similarly, rboh expression co-occurs
with wall ingrowth formation in barley BETCs [8]. In
contrast, no differentially expressed rbohs were detected
in nematode giant TCs [10]. Interestingly, ROS-related
gene expression was dominated by those involved in
extra- and intracellular ROS homeostasis (Additional file
11) suggesting that ingrowth wall formation depends TC transport function Expression of cell wall synthesizing and re-modelling en-
zymes underpins construction of the ingrowth wall that
supports the amplified plasma membrane in which are
embedded high densities of membrane transporters to
collectively
confer
an
enhanced
transport
function
(Figure 3). Intracellular organization Polarized accumulation of extracellular ROS regulating
uniform wall synthesis [6] and cytosolic Ca2+-plumes deter-
mining loci for wall ingrowth formation [9] respectively de-
pend upon a finely-tuned intracellular distribution of rbohs
and Ca2+-permeable channels. This requirement is un-
doubtedly met through modifying cytoskeleton and vesicle
trafficking combined with re-configuring microdomains in Page 9 of 13 Zhang et al. BMC Plant Biology (2015) 15:103 the plasma membrane abutting sites of ingrowth wall
deposition (Figure 3). Formation of membrane microdomains may sub-
compartmentalize the plasma membrane polar domain Sphingolipids and sterols form major components of
membrane microdomains [47]. Indeed, genes encoding
enzymes in their biosynthetic pathways are expressed
during development of flange wall ingrowths in barley
BETCs [8]. Sphingolipids consist of a polar head group
linked to an amino alcohol long-chain base (LCB) with
the amine group acylated with a fatty acid (ceramide)
with C4 of LCB being (trihydroxy) or not being (dihy-
doxy) hydroxylated. Bax inhibitor 1-like (Additional
file 12) post-translationally activates the C4 hydrolase
[48] thus promoting flux through this route for acyl-
ation by very long-chain fatty acids (VLCFA; [49]). Significantly, synthesis of VLCFAs may be enhanced
by expression of four 3-ketoacyl-CoA synthase iso-
forms, a elongation of fatty acid protein and a long-
chain-fatty-acid-CoA ligase (Additional file 12) that
form part of the elongase complex [50]. An increased
precursor flow into the VLCFA pathway is supported
by up-regulated expression of biotin carboxyl carrier
protein of acetyl-CoA carboxylase (Additional file 12),
a sub-component of acetyl-CoA carboxylase catalyzing
the first carboxylation step in, and rate limiting of, de novo
fatty acid synthesis [51]. Thereafter, bax inhibitor 1-like
may also increase activities of fatty acid hydroxylases and
desaturases that further modify the ceramides [48] before
synthesis of the final sphingolipid products of glucosylcer-
amides or glycosyl inositolphosphoceramides [49]. Uni-
form wall specific expression of an oxysterol-binding
protein-related protein and a remorin (Additional file 12)
respectively point to vesicle trafficking of sterols [52] and
their enrichment in membrane microdomains [47]. Wall
ingrowth deposition is linked with expression of putative
sterol biosynthetic genes (Additional file 12) such as two
epoxide hydrolases [53] and squalene epoxidase [54]. TC-specific expression of cytoskeleton and vesicle trafficking
confers TC polarity Microtubule and actin-associated genes switched off on
transiting to a TC fate were predominantly linked to cell
division (Additional file 12) that declined rapidly from
three to six hours (Additional file 10). Consistent with
polarized cell wall deposition [4], TC- specific genes in-
dicative of remodelling cytoskeletal elements [37] were
expressed either across ingrowth wall deposition (kinesin
motor domain and formin-like protein) or only during
one phase of the process (Additional file 12). Uniform
wall specific gene expression (Additional file 12) indi-
cated substantial polymerization/reorganization of actin
filaments (actin and actin-97-like) and polarization of
transport vesicles and organelles (Myosin X1) [38] con-
sistent with ROS-regulated polarization of the uniform
wall [6]. Wall ingrowth specific expression of 65-kDa
microtubule-associated protein 3-like and Villin-4 re-
spectively suggests establishing a stable microtubule [39]
and actin [40] network to orchestrate deposition of wall
ingrowths at loci. In root hair growth of Arabidopsis,
AtVLN4 regulated actin organization is Ca2+-dependent [41]
pointing to an interaction between actin and Ca2+plumes
that define wall ingrowth loci [9]. Rapid polarized/localized cell wall deposition during
formation of the ingrowth wall (Additional file 1) is
dependent upon exo/endocytotic activity [13]. Regula-
tion of cycling of ER-derived proteins through assembly
and directed transport of coat protein complex II (GTP-
binding protein SAR1A and ER-derived vesicle protein
ERV14) and ARFs (ADP-ribosylation factor GTPase-
activating proteins) across ingrowth wall deposition is
consistent with asymmetrical vesicle trafficking to effect
polarity [42,43]. Expression of uniform wall- and wall
ingrowth-specific exocyst complex components and v- and
t-SNARES (Vesicle-associated protein 2-1-like, Vesicle-
associated membrane protein and two, Syntaxin -112
genes), to direct targeted vesicle delivery to the plasma
membrane [44], confirms the specialized nature of each
phase of ingrowth wall deposition. Two of four genes
encoding proteins involved in membrane trafficking
(Dynamin –related protein 1C-like and Dynamin-2B-
like) are potential regulators of localized endocytosis
supporting wall ingrowth deposition. These two dyna-
min genes represent two subfamilies of DRPs that inter-
act and assemble with clathrin at discrete foci in the
plasma membrane of Arabidopsis cells to regulate
endocytosis [45] and cellulose deposition [46]. This
profile of cytoskeleton and vesicle trafficking genes is
comparable to that reported for BETCs [8] and nema-
tode giant TCs [18]. Expression of cell wall biosynthesis and re-modelling genes
construct the ingrowth wall Cellulose is present in the uniform wall and the inner,
electron dense region, of wall ingrowths of epidermal
TCs [55] but cellulose biosynthesis appeared not to de-
pend on expression of TC-specific CesAs that were
switched off and not replaced as the epidermal cells
transited to a TC fate (Additional file 13). Rather, cellu-
lose deposition could be regulated post-translationally Page 10 of 13 Zhang et al. BMC Plant Biology (2015) 15:103 conferred by co-expression of a pectin esterase inhibitor
modulating catalytic activities of expressed pectin ester-
ases (Additional file 13) that catalyze removal of methyl
ester groups from homogalacturonan backbones to allow
their cross-linking with Ca2+ [66]. This accounts for es-
terified pectins being the predominate type present in
the ingrowth wall [55]. Up-regulated and wall ingrowth
specific expression of two beta-galactosidases could
catalyze cleavage of terminal galactosyl residues from
RGI [67]. Overall, uniform wall formation included pec-
tin biosynthesis and re-modelling giving way to pectin
re-modelling alone for wall ingrowth deposition. En-
hanced pectin biosynthesis and re-modelling also charac-
terizes construction of barley BETCs [8] and nematode
giant TCs [36]. (Additional file 13). Thus during uniform wall formation,
SHINE [56] and a GPI-anchored protein [57] could regu-
late CesA activity with the extruded cellulose microfibrils
being re-modelled by two extracellular endoglucanases
[58]. Cellulose provides a structural scaffold to form wall
ingrowths at right angles to the uniform wall [59]. Here,
an acid endochitinase-like protein, known to associate
with cellulose synthase complexes [25] and an extracellu-
lar beta-glucosidase, may form part of the machinery
redirecting extrusion of cellulose microfibrils (Additional
file 13). Consistent with these observations, CesA expres-
sion is down-regulated in nematode giant TCs [36] while
in maize and barley BETCs, CesA expression is up-
regulated during later stages of TC development [8,11]. In contrast to cellulose biosynthesis, there was a sub-
stantial TC-specific induction of genes encoding en-
zymes responsible for synthesizing and re-modelling cell
wall matrix polysaccharides (Table 2) and, in particular,
hemicelluloses (Additional file 13). To this end, a (1-3,1-4)
β-D-glucan synthase, was switched off and replaced with
enzymes catalyzing xylan biosynthesis (xylosyltransferases,
glycotransferase family GT8 protein – [60]) and re-
modelling (beta-D-xylosidase – [61]). Xylans in the uni-
form wall are consistent with their presence in flange
wall ingrowths as suggested by expression of a beta-D-
xylosidase
and
a
xylosyltransferase
respectively
in
BETCs of barley [8] and maize [11]. Expression of cell wall biosynthesis and re-modelling genes
construct the ingrowth wall Xyloglucan pres-
ence in uniform walls [55] is consistent with expression
of xylosyltransferases (biosynthesis - [62]) and endoxy-
lotransglucosylase/hydrolases
(chain
re-modelling
–
[63]). Xyloglucan biosynthesis and re-modelling also
dominates early developmental stages of barley BETCs [8]
and nematode giant TCs [10]. Xyloglucan re-modelling
coincides with TC division/expansion as indicated by co-
expression of expansins ([8,10,11]; Additional files 10 and
13 in this study). In contrast, expansins expressed during
wall ingrowth construction when cell division/expansion
has ceased (Additional files 10 and 13), must serve a
yet-to-be identified function. One possibility is to free
xyloglucan chains from cellulose microfibrils rendering
them available for co-operative re-modelling by alpha-
xylosidases and a beta-glucosidase [64] and by two
extracellular isoforms of beta-galactosidase ([58] –
Additional file 13). Overall, uniform wall and wall ingrowth
construction was characterized by intense xyloglucan re-
modelling. Callose deposition is a balance between synthesis by
callose synthases and degradation by β-1, 3-glucanases. Isoforms of both enzymes were switched off in epider-
mal cells on transiting to a TC fate and were not
replaced during uniform wall formation (Additional
file 13). However, UDP-glucuronosyltransferase 1 (UGT1),
a callose synthase complex component essential for cal-
lose synthesis [68], was expressed during wall ingrowth
construction accompanied by two beta-1, 3-glucanase
isoforms (Additional file 13); an expression pattern
consistent with callose being confined to the outer
sheath enveloping each wall ingrowth [55]. This tem-
poral profile of callose deposition corresponds with that
reported for nematode giant TCs [36] but contrasts
with callose synthesis/turnover being restricted to the
cell division phase of barley BETC development [69]. Transcripts encoding enzymes of the phenylpropanoid
pathway occurred across ingrowth wall formation
(Additional
file
13). Expressed
ABC
transporters
(Additional file 14) could efflux the monolignol pre-
cursors to the cell wall where class III peroxidases
(Additional file 11) catalyze their polymerization to
lignin [70]. Significantly, the full complement of phe-
nylpropanoid pathway enzymes is expressed in nema-
tode giant TCs [36], and a detailed histochemical
study of maize BETCs [71], provides strong evidence
for their lignification. Extensins are expressed in TCs forming flange [8,11]
and reticulate [18] wall ingrowths. A large number (14)
of extensin family members of hydroxyproline-rich gly-
coproteins were expressed in developing epidermal TCs
(Additional file 13), implying a key role played by exten-
sins in shaping the ingrowth wall and, in particular, wall
ingrowths. Conclusions In epidermal cells undergoing trans-differentiation to a
TC-morphology, only a small proportion of their tran-
scriptome (i.e., 10%) was found to be TC-specific. Within the cohort of TC-specific transcripts, those en-
coding pathways regulating signalling and intracellular
organization were fine-tuned whilst cell wall construc-
tion and membrane transporter profiles were altered
substantially upon transiting to a TC fate. Each phase of
ingrowth wall construction was linked with an unique
sub-cohort of expressed genes. Comparison of transcrip-
tomes of cells forming flange or reticulate wall ingrowths
detected subtle differences in their transcript profiles,
with the major difference being the absence of a two-
component signalling system from the latter. Availability of supporting data The cDNA sequence datasets of raw reads and assem-
bled reference transcriptome library supporting the re-
sults of this article are available in the repository of the
European Nucleotide Archive (ENA) with the ENA ac-
cession number: PRJEB8906. Expression of cell wall biosynthesis and re-modelling genes
construct the ingrowth wall A key enzyme in the post-translational modi-
fication pathway generating functional extensins, prolyl
4-hydroxylase [72], was expressed throughout ingrowth
wall formation (Additional file 13). Upon being exocy-
tosed into the cell wall space, extensin monomers are
envisaged to cross-link to form networks, mediated by Pathways leading to pectin biosynthesis and modifica-
tion altered on epidermal cells transiting to a TC fate
(Additional file 13). During uniform wall construction,
synthesis of the pectin rhamnogalacturon backbone
(RG1) was likely catalyzed by expression of galactofuro-
nosyl-transferase 13-like (GAUT13 - Additional file 13)
that significantly is essential for polarized pollen tube tip
growth
[65]. Control
over the pectin gel state
is Zhang et al. BMC Plant Biology (2015) 15:103 Page 11 of 13 redox activity of type-III apoplasmic peroxidases ([72];
Additional
file
11). Expression
of
a
proline-rich-
extensin-like receptor kinase (Additional file 3), regulat-
ing
extensin/pectin
interactions
[73],
may
generate
supramolecular structures [72] to function as templates
for ingrowth wall formation. Significantly, coincident
with wall ingrowth construction, was the expression of
two nodule-specific extensins that support polarized tip
growth in elongating infection threads [74] and a DZ-
HRGP homolog that contributes to polarized tip growth
of pollen tubes [72]. ongoing expression of ABC transporters (Additional
file 14) corresponded with expression of flavonoid bio-
synthesis and defense genes (Table 2). Additional files Additional file 1: Figure S1, Table S1 and accompanying text. Temporal formation of the uniform wall and wall ingrowths. Additional file 1: Figure S1, Table S1 and accompanying text. Temporal formation of the uniform wall and wall ingrowths. Additional file 2: Figure S2. Quality assessment of total RNA extracted
from adaxial epidermal and storage parenchyma cells of V. faba cotyledons. Additional file 3: Table S2. Quality assessment of total RNA extracted
from, and cDNA libraries of V. faba cotyledons used for Illumina sequencing. Investment into nitrogen transporters was enhanced
during uniform wall formation (Additional file 14). This
included a chloride channel (CLC-7 – Additional file 14)
that may function as a nitrate sensor to regulate develop-
ment by modulating auxin transport [89]. Two additional
transporters were recruited for potassium homeostasis; a
SKOR channel (Additional file 11; [35]) and a potassium
antiporter (Additional file 14). Most pronounced was the
large number (12) of expressed ABC transporter genes
(Additional file 14) linked with expression of flavonoid
biosynthetic and defense genes (Table 2). However, along
with effluxing xenobiotics, members of the ABCB trans-
porter subfamily facilitate plasma membrane transport of
IAA [78] contributing to the altered IAA homeostasis of
epidermal TCs (see Additional file 11 and associated text). Additional file 4: Table S3. Annotation and expression levels of all
genes specifically expressed in the epidermal cells of cultured V. faba
cotyledons trans-differentiating to epidermal transfer cells. Additional file 5: Table S4. Annotation and expression levels (RPKM) of
selected unigenes expressed specifically in trans-differentiating adaxial
epidermal cells of V. faba cotyledons [80]. Additional file 6: Table S5. Primer sequences used for qRT-PCR
determination of expression levels of specified genes to validate RNAseq
data sets. Additional file 6: Table S5. Primer sequences used for qRT-PCR
determination of expression levels of specified genes to validate RNAseq
data sets. Additional file 6: Table S5. Primer sequences used for qRT-PCR
determination of expression levels of specified genes to validate RNAseq
data sets. Additional file 7: Figure S3. Species distribution of genes with highest
sequence similarity to unigenes in the reference transcriptome library of
trans-differentiating adaxial epidermal cells of cultured V. faba cotyledons. Additional file 7: Figure S3. Species distribution of genes with highest
sequence similarity to unigenes in the reference transcriptome library of
trans-differentiating adaxial epidermal cells of cultured V. faba cotyledons. Additional file 8: Table S6. A large array of membrane transporters is specifically
expressed in TCs The large number of transporter genes switched off upon
transiting to an epidermal TC fate (Additional file 14) sug-
gests a substantial change in transport function. A striking feature of the 13 TC-specific membrane
transporters, whose expression did not change during
trans-differentiation, nine transport inorganic and or-
ganic nitrogen compounds (Additional file 14). Five
transport amino nitrogen compounds including two
aquaglyceroporins (NIP1-2; nodulin26 – [75]; Additional
file 14). Two nucleoside proton symporters, adenine/
guanine permease AZG1 [76] and equilibrative nucleo-
side transporter 3 [77], likely function to retrieve apo-
plasmic
nucleosides
released
from
degradation
of
endosperm and inner cell layers of seed coats crushed by
expanding cotyledons. Collectively, expression of these
transporters reflects a demand for nitrogenous precursors
to support protein biosynthesis. Expression of a putative
plasma membrane potassium transporter and tonoplast
potassium proton antiporter (Additional file 14) ensure
potassium homeostasis. Acknowledgements The research was supported by funding from the Australian Research
Council (DP130101396) awarded to CEO and JWP together with funding
from the German Research Foundation (DFG; grant GZ RA 2061/3-1)
awarded to RR. XX and SW are grateful for the support of Faculty Research
Higher Degree scholarships. We are indebted to Joseph Enwright for a
continuous supply of healthy experimental plant material. The SEM and TEM
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undergoing trans-differentiation to a TC morphology. transiting to a TC fate and those specifically expressed in epidermal cells
undergoing trans-differentiation to a TC morphology. transiting to a TC fate and those specifically expressed in epidermal cells
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germination. Proteomics. 2006;6(1):294–300. 60. Rennie EA, Scheller HV. Xylan biosynthesis. Curr Opin Biotechnol. 2014;26:100–7. 35. Demidchik V, Maathius FJM. Physiological roles of non selective cation
channels in plants: from salt stress to signaling and development. New
Phytol. 2007;175(3):387–404. 61. Cleemput G, Hessing M, Van Oort M, Deconynck M, Delcour JA. Purification
and characterization of a [beta]-D-xylosidase and an endo-xylanase from
wheat flour. References Plant Physiol. 1997;113(2):377–86. 36. Portillo M1, Cabrera J, Lindsey K, Topping J, Andrés MF, Emiliozzi M, et al. Distinct and conserved transcriptomic changes during nematode-induced
giant cell development in tomato compared with Arabidopsis: a functional
role for gene repression. New Phytol. 2013;197(4):1276–90. 62. Oikawa A, Lund CH, Sakuragi Y, Scheller HV. Golgi-localized enzyme complexes
for plant cell wall biosynthesis. Trends Plant Sci. 2013;18(1):49–58. 63. Eklof JM, Brumer H. The XTH gene family: an update on enzyme structure,
function, and phylogeny in xyloglucan remodeling. Plant Physiol. 2010;153(2):456–66. 37. Bulbert RA, Offler CE, McCurdy DW. Polarized microtubule deposition
coincides with wall ingrowth formation in transfer cells of Vicia faba L. cotyledons. Protoplasma. 1998;201(1-2):8–16. 64. Sampedro J, Pardo B, Gianzo C, Guitian E, Revilla G, Zarra I. Lack of alpha-
xylosidase activity in Arabidopsis alters xyloglucan composition and results
in growth defects. Plant Physiol. 2010;154(3):1105–15. 38. Tominaga M, Nakano A. Plant-specific myosin XI, a molecular perspective. Front Plant Sci. 2012;3:211. 39. Hamada T, Ueda H, Kawase T, Hara-Nishimura I. Microtubules contribute to
tubule elongation and anchoring of endoplasmic reticulum, resulting in
high network complexity in Arabidopsis. Plant Physiol. 2014;166(4):1869–76. 65. Wang L, Wang W, Wang YQ, Liu YY, Wang JX, Zhang XQ, et al. Arabidopsis
galacturonosyltransferase (GAUT) 13 and GAUT14 have redundant functions
in pollen tube growth. Mol Plant. 2013;6(4):1131–48. 40. Henty-Ridilla JL, Li J, Blanchoin L, Staiger CJ. Actin dynamics in the cortical
array of plant cells. Curr Opin Plant Biol. 2013;16(6):678–87. 66. Jolie RP, Duvetter T, Van Loey AM, Hendrickx ME. Pectin methylesterase and
its proteinaceous inhibitor: a review. Carbohydr Res. 2010;345(18):2583–95. 41. Zhang Y, Xiao Y, Du F, Cao L, Dong H, Ren H. Arabidopsis VILLIN4 is
involved in root hair growth through regulating actin organization in a Ca2
+-dependent manner. New Phytol. 2011;190(3):667–82. 67. Martin I, Hernandez-Nistal J, Albornos L, Labrador E, Dopico B. BetaIII-Gal is
involved in galactan reduction during phloem element differentiation in
chickpea stems. Plant Cell Physiol. 2013;54(6):960–70. 42. Hanton SL, Chatre L, Matheson LA, Rossi M, Held MA, Brandizzi F. Plant Sar1
isoforms with near-identical protein sequences exhibit different localisations
and effects on secretion. Plant Mol Biol. 2008;67(3):283–94. 68. De Storme N, Geelen D. Callose homeostasis at plasmodesmata: molecular
regulators and developmental relevance. Front Plant Sci. 2014;5:138. 69. Thiel J, Müller M, Weschke W, Weber H. Amino acid metabolism at the
maternal-filial boundary of young barley seeds: a microdissection-based
study. Planta. 2009;230(1):205–13. 43. References Nucleoside
transport across the plasma membrane mediated by equilibrative
nucleoside transporter 3 influences metabolism of Arabidopsis seedlings. Plant Biology. 2012;14:696–705. 51. Saito K, Yonekura-Sakakibara K, Nakabayashi R, Higashi Y, Yamazaki M, Tohge T,
et al. The flavonoid biosynthetic pathway in Arabidopsis: structural and genetic
diversity. Plant Physiol Biochem. 2013;72:21–34. 78. Remy E, Duque P. Beyond cellular detoxification: a plethora of physiological
roles for MDR transporter homologs in plants. Front Physiol. 2014;5:201. 52. Umate P. Oxysterol binding proteins (OSBPs) and their encoding genes in
Arabidopsis and rice. Steroids. 2011;76(5):524–9. 79. Wardini T, Talbot MJ, Offler CE, Patrick JW. Role of sugars in regulating
transfer cell development in cotyledons of Vicia faba seeds. Protoplasma. 2007;230:75–88. 53. Morisseau C. Role of epoxide hydrolases in lipid metabolism. Biochimie. 2013;95(1):91–5. 54. Rasbery JM, Shan H, LeClair RJ, Norman M, Matsuda SP, Bartel B. Arabidopsis
thaliana squalene epoxidase 1 is essential for root and seed development. J Biol Chem. 2007;282(23):17002–13. 80. Silva-Sanchez C, Chen S, Zhu N, Li QB, Chourey PS. Proteomic comparison
of basal endosperm in maize miniature1 mutant and its wild-type Mn1. Front Plant Sci. 2013;4:211. 55. Vaughn KC, Talbot MJ, Offler CE, McCurdy DW. Wall ingrowths in epidermal
transfer cells of Vicia faba cotyledons are modified primary walls marked by
localized accumulations of arabinogalactan proteins. Plant Cell Physiol. 2007;48(1):159–68. 55. Vaughn KC, Talbot MJ, Offler CE, McCurdy DW. Wall ingrowths in epidermal
transfer cells of Vicia faba cotyledons are modified primary walls marked by
localized accumulations of arabinogalactan proteins. Plant Cell Physiol. 2007;48(1):159–68.
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https://zenodo.org/records/2494273/files/article.pdf
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German
| null |
708. Zur Darstellung: des gelben Arsens
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Berichte der Deutschen Chemischen Gesellschaft
| 1,904
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public-domain
| 1,582
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1) Eine Quecksilberchlorid-Verbinduog des Chelidonslurediathylesters wurde
') Ann. d. Chem. 144, 110 r18671.
3) Zeitschr. ffir anorgao. Chem. 32, 437 [1902].
ebenfalls von Willstiitter (loc. cit.) dargestellt. 4572 4572 achafc baaischen Sauerstoffs befinden, einen veratarkenden Einflusa aut
die Basicitat der Subatanz auaiiben. Die Fahigkeit, Salze zu addiren,
scheint aber nicht von der Basicitiit, mindeatens nicht von dieaer allein
abzuhlingen. Offenbar ist ea specie11 die im Meaityloxyd, im P y r o n ,
in der Chelidonsliurel), nicht aber im M e t h y l h e p t e n o n und nicht
im C i n e o l vorhandene Gruppe .CO.CH:, welche jene Additionsfiihig-
keit begiinatigt. g
g
Damit stimmt iiberein, dasa auch Z i m m t a l d e h y d beim Schiitteln
mit concentrirter Sublimatl8sun& aofort zu einer voluminosen Krystall-
masae erstarrt. Die Yerbjndung krystallisirt ans Alkobol in aeide-
glanzende Nadelu, welclie,von
stud. F. P a t z s c h k e analysirt> wurden. CsHgO.HgCI1. Ber. H g 49.6. Gef. 49.2. ))
C1 17.5, *
17.1. 0.5226 g Sbst.: 0.2995 HgS und 0.3625 AgCI. Demnach vereinigt sich auch in diesem Falle daa Quecksilber-
chlorid in molekularer Menge mit der organischen Verbinducg. 708. A l f r e d Stook und Werner Siebert: Zur Daretellung
des gelben Arsens. 708. A l f r e d Stook und Werner Siebert: Zur Daretellung
des gelben Arsens. 708. A l f r e d Stook und Werner Siebert: Zur Daretellung
des gelben Arsens. [Aus dem I. chernischen Institut der Universitst Berlin.! (Eingegaogen
28 November 1904 ) [Aus dem I. chernischen Institut der Universitst Berlin.! (Eingegaogen am 28. November 1904.) [Aus dem I. chernischen Institut der Universitst Berlin.! (Eingegaogen am 28. November 1904.) Die Existenz einer gelbeo Arsenmodification wurde i m Jahre 1867
von Bettendorfl) erkannt, nls er Arsendiimpfe schnell abkiihlte,
E r und Audere, die eeiue Versnche wiederholten, erhielteu dabei nur
ganz geriogfiigige Mengen des intere~santen Korpers; das meiste &sen
schlagt sich megen der Unbestiindigkeit der gelben Form schwarz
nieder. LZieungeu dea gelben Arsena i n Schwefelkohlenstoff sind
vie1 bestiindiger; E r d m a n n und von U n r u h # ) hatten den gliick-
lichen Oedanken, durch Condensation ron Arsendampf in Schwefel-
kohlenstoff zunachzt eine Losung darzustellen, aus welcher dann durcb
starke Abkiihlung krystallieirtes gelbes Arsen zu erhalten ist. Aber
auch bei ihrer Methode geht ein erheblicher Theil des verdampften
Araens wieder in die achwarze Form uber. Der nachstehend beschriebene Apparat erlaubt, ohne Anwendung
eines Liisnngsmittels schwarzes Arsen - zunachst allerdings nur in 4573 geringer MeGge - q u a n t i t a t i v in gelbes iiberzufiihren. Dae Arsen
wird im< tiefen Vacuum verdampft und der Dampf bei der Temperatur
der fiusaigen Lnft condensirt; es entsteht dabei nur die gelbe Form. g
;
g
To das mit dern eeitlichen, zu einer Quecksilberluftpumpe fiihren-
den Ansatzrohr I3 versebene gussere Glaegefass A (8. d. Zeichnung)
rngt ein Rohr C aus Jenaer Glas von 9 mm Durchmesser binein,
welches an seinem untereu Ende an kleinen OlasSsen
ein mit diinnem Platindraht befestigtes Glasbecher-
+E
3,
chen D trfigt. Innen befindet sich eine etwa 2 cm
hohe Schicht Kryptolmaese, in die zwei rnit dunnen
Glasrohren isolierte, an ihren Enden ringfiirmig um-
gebogene Kupferdrihte E+ und B- gesteckt sind. Sie sind rnit einer vierzelligen Accumulatorenbatterie
verbunden, ein eingeschalteter Regulirwiderstand ge-
stattet, fie 'Stromstarke zu regeln und das Kryptol
auf belieb3iige Temperaturen zu erwarmen. 400°
z. B \&den
durch einen Strom von 2-3 AmpAre
erreicbt. Zur Temperaturmessung ist in die Kryptol-
mirsse eiq durch Glasrohr isolirtes Platin-Platin-
rhodiumthermoelement eingefiibrt [in der Zeicbnung
fortgela9~enl. 3 Sein lhrchrnesser betrug 4 crn. 708. A l f r e d Stook und Werner Siebert: Zur Daretellung
des gelben Arsens. In den etwa 2 mm weiten Raum zwischen Qlas-
becherclien D und Rolir C wird etwas durch Subli-
mation im Vacuum frisch gereinigtes Arsen gegeben,
C am oberen Ende von A mittelst Siegellack luft-
dicht befestigt und aus dem Ranm zwischen A und
C alle Luft mit Hiilfe der Quecksilberlnflpumpe
entfernt. b a n n fiillt man in das tiussere durchsichtige
W e i n h o l d - Gefass G filtrirte fliissige Luft. Er-
wfrmt man nun die Kryptolmasse auf 425-450°,
so verdampft das
Arsen in dem Bechercben D, und nach kiirzer Zeit schlagt sich gelbes
Arsen i m ' birnenfhnigen Theile von A')
nieder. Weil der Dampf,
ohne mit KBrpern mittlerer Temperatur in Berubrung zn kommen,
aofort nuf die Temperatur der fliissigen Lult abgekiihlt wird, entsteht
auaschliesslich die gelbe Modification. Sie erscheint entweder als
hellgelber,' den Schwefelblumen gleichender Anflug oder iiberrieht
- bei langsamerem Destilliren - A wie ein klar-dnrcbsichtiger gelber
Lack, der im rothen Licht kaum zu bemerken ist. Die ganze Ope-
Pation mu& namlich im Dunkelzimmer bei rothem Lichte vorgenommen
werden; das auf diesem trocknen Wege dargestellte gelbe Arsen ist
aueserordefitlich lichtempfindlich, wohl noch mehr als das grosskry-
G 4574 stallinische, aus Schwefelkohlenstoff losung erhaltene. Die Strahleo
eines in 10 cm Entfernung aufgestellten Auerbrenners oder einer
elektriscben Gluhlampe verursachen schon nach wenigen Secunden
beginnende Braunung, trotz der niedrigen Temperatur der fliissigen
Luft. Schneller wirkt natiirlich Sonnenlicht. Entfernt man die
fliissige Luft, sodass aich der Arsenbeechlag erwiirmt, so wird
er momentan tiefschwarz; die damit verbundene VolumBnderung giebt
sich durch Bildqng zahlloser Risse und Abspriogen der schwarzen
Splitter von der Glaswand zu erkennen. WBhrend also die Um-
wandlung durch Warme augenblicklich durch die gauze Masse erfolgt,
ist das Bild ein anderes, wenn man Licht bei der Temperatur der
fliissigen Lnft wirken lasst. Hier schreitet die Veranderung, sobald
ein g e ~ i s s e r Grad der Dunkelfarbung erreicht ist, nur langsam weiter,
die Arsenschicht bleibt selbst im Sonnenlicht, noch minutenlang roth-
braun durchscheinend; durch die Braunung wird der wirksame Theil
der Strahlung offenbar aufgehalten. Wir versuchten, ob bei der Umwandluug der gelben Arsen-
modification in die schwarze etwa eine Leuchterscheinung zu bemerken
ware. 4575 erlaubt aber, die Bildung des gelbin Arsens aus dem schwarzen uud
seine .Riickuerwandlung in dieses als Vorlesungsvereuch vorzufiibreo. Uebrigens kam es uns bei unseren Versuchen weniger darauf an,
gelbes Argen darzustellen, als den Apparat auszuprobiren; er sollte
iins gewissertnaassen als Model1 dienen. Wir sind augenblicklich
damit ' beschaftigt, ibn durch Verwendung anderen Mnteriales fiir
grossere Temperaturuntetschiede verwendhar zu machen, und wollen
dann ao die Lasung der Frage herangehen, ob sich mit ibm auch
gelbes Antimon erhalten lasst. Vielleicht liefert una diese moderne
Modification der D e v i l le'schen warm-kalten Rohre auch noch bei
anderen Stoffen interessnnte Ergebnisse. 1) Zeits-hr. f8r physiol. Chem. 34, 207 [1901]. 708. A l f r e d Stook und Werner Siebert: Zur Daretellung
des gelben Arsens. Es wurde i n der gescbilderten Weise der Ueberzug von gelbem
Arsen erzeugt, ,d+r Apparrt durch Abscbmelzen des Rohres B von
der Luftpumpe' getrennt und nach dem Liisclien des Lichtes, sobald
das Auge sich an die v6llige Dunkelheit gewohnt hatte, pus der
flussigen Luft heraus zur Erwiirmung in Alkohol yon Zimmertem-
peralur gesteckt. Starkes Knistern des abspringenden schwarzen'
Arsens bewies die Hefiigkeit der Umwandelung, irgeudwelche Licht-
efscheinung zeigle sich aber nicht. Um uns zu uberzeugen, dass es sich bei unseren Versuchen auch
wirklich um das schwefelkohlenstofflosliche Arsen handle, gaben wir
in das Gefass A vor dem Abkiihlen mit Aussiger Luft einige ccni
Schwefelkohlensloff. ( Nachdem sich das gelbe Arsen gebildet hntte,'
erwlrmten wir den Apparat, der Schwefelkohlenstoff schmolz und
loste beim Umschwenken das Arsen bis auf einen kleinen, durch
die Temperaturerhohung geschwarzten Theil auf. Die entatandene Lo-
sung eryies sich a19 yollkommen identisch mit eher nach der Vor-
schrift von E r d m a n n und v o n U n r u h dargestellten. Die Menge gelbes Arsen, welche wir erhielten, war, wie schoo
erwiihnt, nicht gross; sie betrug etwa '/lo g bei dem eiozelnen, '/a-'/4
Stupden wahrenden Versuche. Die Sublimation darf nicht zu sehr be-
schleunigt werden, denn sonst kann es geschehen, dass sich die Innen-
wand von A erwarmt und der gelbe Beechlag sich braunt. Fiir die
Daratellung in grosserem Maassstabe ist das von E r d m a n n und
von U n r u h ausgearbeitete Verfahren vorzuziehen. Unser Apparat 4575 709. Emil Fischer und U m e t a r o Suzuki:
Synthese yon Polypeptiden. VII.
Derivate des Cystins. [Aus dem I. Chemischen Institut der Universitiit Berlin.]
(Eingegangeo am 15. November 1904.) (Eingegangeo am 15. November 1904.) 'NBch den schiinen Untersuchungen von K. A. H. Miirner') ist
das @stin ein regelmassiger Beatandtheil der achwefelhaltigen Protei'n-
stoffe, und da seine Menge in einzelnen Fallen bis fast zu 12 pCt. dee
Oesammtgewichts ansteigt, so spielt es auch in dem Molekiil keines-'
megs eine untergeordnete Rolle. Es schien deshalb von Interease,
polypeptidartige Combinationen dieser geschwefelten Base mit ahderen
Aminosauren herzoatellen, weil derartige Producte aller Wahrscheinlich-
keit nach beim successiven Auf- und Abbnu der Protei'ne gebildet werden. In alkalischer Liisung lasst sich das Cystin in der That leicht rnit
halogenhaltigen Saurechloriden vereinigen und nimmt davon zwei Mo-
lekiile ,auf. Wir haben die Versuche mit Chloracetylcblorid, Brom-
propionylbromid und a-Bromisocaprooylchlorid ausgeflihrt und in allen
Fiilleo krystallinische Producte erhalten. Durch Behandlung mit Ammo-
niak entstehen daraus die entsprechenden Polypeptide, das Diglycyl-,
Dialanyl- und Dileucyl-Cystin. Die schiinsten Eigenschaften von ihneii
besitzt das Alaninderivat, das aus Wssser krystallisirt, wiihqend die
beiden anderen. Combinationen nur in amorpbem Zustand gewopnen
wurden. Das POI^ uns benutzte Cystin war aus Rosshaar durch Kocben
init Salzsiiure gewonneu und derart gereinigt, dass wit annehmen
konnen, die reine, optisch active Base verarbeitet zu haben. Infolge- 1) Zeits-hr. f8r physiol. Chem. 34, 207 [1901].
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https://openalex.org/W3209216156
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http://cmhp.lenterakaji.org/index.php/cmhp/article/download/61/45
|
Indonesian
| null |
HUBUNGAN GENETIK DAN PSIKOLOGIS DENGAN KEJADIAN DEPRESI PADA REMAJA
|
Journal Of Community Mental Health and Public Policy
| 2,021
|
cc-by
| 4,892
|
Published
online October,
11th, 2021 e-ISSN 2622-2655 (Journal Of Community Mental Health And Public Policy) ARTICLE
INFO Depression is one of the most common types of mental disorders that can
negatively affect a person's feelings, ways of thinking, and acting so that severe ones can
lead to suicide. Depression's caused by various factors, which are genetic and
psychological. This study was conducted to determine the relationship between genetic
(gender and genetic history) and psychological (social support and psychosocial
conditions) with the incidence of depression in adolescents (case study of XY High School
students, Jember Regency). This research is an analytic observational study with a cross-
sectional method. The sample in this study was 158 respondents who were taken using
the simple random sampling method. Data were collected online with the Social
Provisions Scale (SPS), Youth Pediatric Symptom-17 (Y PSC-17), and Beck Depression
Inventory-II (BDI-II) instruments. The research data were analyzed using the Spearman
Correlation Test. The results showed that there was no relationship between genetics
which consisted of gender variable (p value = 0.958) and heredity history variable (p
value = 0.061) with the incidence of depression in adolescents. While there is a
relationship between psychology which consists of social support variables (p value =
0.003) and psychosocial condition variables (p value = 0.000) with the incidence of
depression in adolescents. The results of this study can be used as a basis for making
preventive, promotive, and rehabilitative efforts regarding depression in adolescents and
for further research. Keywords: Depression, Genetic, Psychological, Adolescents. Genetic and Psychological Relationship with the Depression Event in Adolescents Lidya Isnaini Nuriyah 1, Ayik Mirayanti Mandagi 2, Xindy Imey Pratiwi 1 dya s a
Nu ya
,
y
aya t
a dag
,
dy
ey
at w
1 Departemen Kesehatan Lingkungan, Fakultas Kesehatan Masyarakat, PSDKU Universitas Airlangga di Banyuwangi,
Banyuwangi, Indonesia
2 2 Departemen Epidemiologi, Biostatistika Kependudukan, dan Promosi Kesehatan, Fakultas Kesehatan Masyarakat, PSDKU
Universitas Airlangga di Banyuwangi, Banyuwangi, Indonesia
lidya.isnaini.nuriyah-2017@fkm.unair.ac.id PENDAHULUAN terdapat banyak kemungkinan yang dapat
menyebabkan depresi, seperti gangguan
regulasi emosi, masalah kualitas hidup,
harga diri yang rendah, pengalaman negatif
hingga kurangnya dukungan keluarga
(Marroquín & Nolen-Hoeksema, 2015;
Orth et al., 2016; Schirda et al., 2015;
Vardanyan, 2013). Depresi adalah salah satu jenis
gangguan mental yang paling umum terjadi
di dunia (World Health Organization,
2015). Depresi menjadi penyakit yang
secara negatif memengaruhi perasaan, cara
berpikir dan tindakan seseorang dengan
menimbulkan
rasa
sedih
dan
menghilangkan minat pada aktivitas sehari-
hari atau aktivitas yang digemari (Meridien
Research, 2021). Pada tingkat yang parah
depresi diketahui dapat menyebabkan
bunuh diri (World Health Organization,
2015). Diketahui telah terjadi sebanyak
800.000 kasus bunuh diri dilaporkan di
seluruh dunia setiap tahunnya dengan
depresi sebagai penyebab utama (World
Health Organization, 2015). Sementara di
Indonesia diketahui bahwa kejadian depresi
telah dialami oleh sebanyak 35 juta orang
(Kementerian
Kesehatan
Republik
Indonesia, 2016). y
)
Para peneliti terdahulu menemukan
bahwa genetik memengaruhi sebesar lebih
dari 60% kejadian depresi berat pada
seseorang (Purves et al., 2019). Sehingga
ketika
seseorang
memiliki
riwayat
keturunan pernah mengalami depresi, ia
memiliki
kemungkinan
lebih
besar
mengalami kejadian depresi. Selain itu jenis
kelamin seseorang juga mempengaruhi
kemungkinan ia dapat mengalami kejadian
depresi. Beberapa
peneliti
terdahulu
mengemukakan bahwa seseorang dengan
jenis kelamin perempuan lebih mudah
mengalami kejadi depresi (Fernandez-
Pujals et al., 2015; Hyland et al., 2020). Hal
tersebut
dikarenakan
hormon
pada
perempuan lebih tidak stabil dibandingkan
pada laki-laki, sehingga ketika terdapat
faktor yang mampu memicu depresi maka
seseorang dengan jenis kelamin perempuan
dapat dengan mudah mengalami kejadian
depresi (Fernandez-Pujals et al., 2015). Beberapa
peneliti
terdahulu
menyatakan
bahwa
awal
kemunculan
depresi terjadi sejak periode kehidupan
remaja (Thapar et al., 2012; Williams et al.,
2014). Data pada tahun 2017 menunjukkan
bahwa terdapat hampir 2,3 juta remaja pada
rentang usia 12 hingga 17 tahun di Amerika
Serikat mengalami paling sedikit satu kali
kejadian depresi mayor (National Institute
of Mental Health, 2017). Di Indonesia
terdapat data yang menunjukkan bahwa ada
lebih dari 3 juta remaja usia mulai dari 10
hingga 19 tahun yang mengalami gangguan
mental dengan depresi paling umum terjadi
(Badan Pusat Statistik, 2014). Pada faktor biologis
diketahui
terjadinya peningkatan kadar sitokin yang
berkombinasi dengan penurunan kadar
kortisol
dapat
menyebabkan
kejadian
depresi (Brogan, 2014). Hasil penelitian
pada sudut pandang lainnya menunjukkan
bahwa hampir 33% kejadian depresi pada
remaja disebabkan oleh kondisi psikososial
(Azzahro et al., 2021). ABSTRAK Depresi adalah salah satu jenis gangguan mental paling umum terjadi, secara
negatif mampu memengaruhi perasaan, cara berpikir dan bertindak seseorang sehingga
pada tingkatan parah mampu menyebabkan bunuh diri. Depresi disebabkan oleh berbagai
faktor, salah satunya adalah genetik dan psikologis. Penelitian ini dilakukan untuk
mengetahui hubungan genetik (jenis kelamin dan riwayat keturunan) dan psikologis
(dukungan sosial dan kondisi psikososial) dengan kejadian depresi pada remaja (studi
kasus siswa SMA XY Kabupaten Jember). Penelitian ini merupakan penelitian
observasional analitik dengan metode cross-sectional. Sampel dalam penelitian ini
sebanyak 158 responden yang diambil menggunakan metode simple random sampling. Data diambil secara daring dengan instrumen Social Provisions Scale (SPS), Youth
Pediatric Symptom-17 (Y PSC-17) dan Beck Depression Inventory-II (BDI-II). Data
penelitian ini dianalisis menggunakan Uji Korelasi Spearman. Hasil penelitian
menunjukkan bahwa tidak terdapat hubungan antara genetik yang terdiri dari variabel
jenis kelamin (p value = 0.958) dan variabel riwayat keturunan (p value = 0.061) dengan
kejadian depresi pada remaja. Sedangkan terdapat hubungan antara psikologis yang
terdiri dari variabel dukungan sosial (p value = 0.003) dan variabel kondisi psikososial
(p value = 0.000) dengan kejadian depresi pada remaja. Hasil penelitian ini dapat
dijadikan dasar untuk pembuatan upaya preventif, promotif dan rehabilitatif perihal
masalah depresi pada remaja serta menjadi landasan untuk penelitian lebih lanjut. Kata Kunci: Depresi, Genetik, Psikologis, Remaja. 26 CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp
Lidya, et al. Hubungan Genetik dan Psikologis
dengan Kejadian Depresi pada Remaja CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp Lidya, et al. Hubungan Genetik dan Psikologis
dengan Kejadian Depresi pada Remaja Lidya, et al. Hubungan Genetik dan Psikologis
dengan Kejadian Depresi pada Remaja PENDAHULUAN Kondisi psikososial
yang
diketahui
dapat
menyebabkan
kejadian depresi pada remaja berkaitan
dengan
dukungan
atau
keterikatan
emosional, integrasi sosial, kepastian nilai,
bantuan nyata, pengenalan dan kesempatan
pengasuhan yang baik (Azzahro et al.,
2021). Kejadian depresi pada remaja bukan
hanya sekedar perasaan stres ataupun sedih,
namun sudah menjadi keadaan serius yang
dapat memengaruhi sifat, cara berpikir, dan
berperilaku secara permanen sehingga
membutuhkan penanganan yang serius
(Azzahro et al., 2021). Penyebab depresi berdasarkan hasil
penelitian terdahulu diketahui dikarenakan
oleh beberapa faktor seperti genetik,
biologis,
dan
kondisi
psikososial
(Dianovinina, 2018). Selain itu masih Dampak terjadinya depresi pada
remaja di Indonesia dapat dilihat dalam
bentuk
peningkatan
konsumsi
rokok,
penyalahgunaan zat terlarang, kasus bunuh 27 CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp
Lidya, et al. Hubungan Genetik dan Psikologis
dengan Kejadian Depresi pada Remaja CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp Lidya, et al. Hubungan Genetik dan Psikologis
dengan Kejadian Depresi pada Remaja diri, dan penurunan fungsi sosial serta
prestasi (Praptikaningtyas et al., 2019). Pernyataan tersebut diperkuat dengan data
yang menunjukkan bahwa penyalahgunaan
narkotika
pada
kalangan
remaja
di
Indonesia dewasa ini meningkat sebesar
hampir 30% (Badan Narkotika Nasional
Republik Indonesia, 2019). Berdasarkan
pemaparan faktor penyebab dan dampak
akibat kejadian depresi pada remaja, maka
kejadian depresi perlu ditangani dengan
cepat dan tepat agar tidak mengakibatkan
permasalahan lebih lanjut bagi seseorang
yang
mengalaminya
(Sulistyorini
&
Sabarisman, 2017). mengenai hubungan antara genetik dan
psikologis
dengan
kejadian
depresi. Penyampaian informasi tersebut diharapkan
mampu
mencegah
masalah
gangguan
mental utamanya depresi secara lebih
lanjut. HASIL Analisis hubungan antar variabel
dilakukan
menggunakan
Uji
Korelasi
Spearman dengan signifikansi 0,05. Hasil
uji korelasi Spearman ini diambil dengan
dasar pengambilan keputusan melihat nilai
korelasi koefisien dan signifikansi antar
variabel. Selain itu analisis ini dilakukan
untuk melihat hubungan antar variabel
secara
parsial. Hasil
uji
analisis
dicantumkan dalam tabel 2. METODE PENELITIAN 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp Lidya, et al. Hubungan Genetik dan Psikologis
dengan Kejadian Depresi pada Remaja Instrumen yang digunakan untuk
mengukur
faktor
psikososial
adalah
instrumen terstandar yaitu Youth Pediatric
Symptom-17 (Y-PSC-17) (Murphy et al.,
2016). Y-PSC-17 dapat digunakan untuk
mengukur faktor psikososial pada anak usia
sekolah hingga usia remaja akhir yaitu pada
usia 4 hingga 24 tahun. Sementara itu
instrumen yang digunakan untuk meneliti
kejadian depresi pada remaja adalah
kuesioner Beck Depression Inventory-II
(BDI-II) (Uin & Hidayatullah, 2018). Sumber: Data primer, 2020
Tabel 1. Distribusi Frekuensi Variabel Data
Responden Tahun 2020. Variabel
n
%
Jenis Kelamin
Laki-Laki
37
23,4
Perempuan
121
76,6
Riwayat Keturunan
Memiliki
riwayat
keturunan
11
7,0
Tidak memiliki riwayat
Keturunan
147
93,0
Dukungan Sosial
Baik
90
57,0
Buruk
68
43,0
Kondisi Psikososial
Baik
79
50,0
Terganggu
79
50,0
Kejadian Depresi
Depresi
72
45,6
Tidak Depresi
86
54,4 Tabel 1. Distribusi Frekuensi Variabel Data
Responden Tahun 2020. y
Pengolahan
dan
analisis
data
dilakukan menggunakan aplikasi SPSS 21
dengan analisis univariat dan analisis
statistik non parametrik. Analisis univariat
dalam penelitian ini dilakukan untuk
mengetahui
distribusi
frekuensi
data
penelitian, sedangkan analisis statistik non
parametrik
dilakukan
untuk
menguji
hubungan antar variabel. Analisis statistik
non parametrik yang digunakan dalam
penelitian
ini
adalah
Uji
Korelasi
Spearman. METODE PENELITIAN Penelitian ini merupakan penelitian
observasional analitik dengan metode
cross-sectional. Penelitian ini dilakukan di
beberapa Sekolah Menengah Atas (SMA)
di Kabupaten Jember, Jawa Timur selama 3
bulan pada bulan April hingga Juni 2020. Populasi pada penelitian ini adalah seluruh
siswa kelas 12 di lokasi penelitian dengan
total sebanyak 350 orang responden. Penanganan dapat dilakukan sedari
upaya pencegahan (preventive) hingga
rehabilitatif. Peneliti
terdahulu
menunjukkan terdapat berbagai upaya yang
dapat menurunkan kejadian depresi pada
remaja seperti, pola asuh orang tua, efikasi
diri,
expressive
writing
therapy
dan
resiliensi individu (Danarti et al., 2018;
Florensa et al., 2016; Safitri & Hidayati,
2013;
Shintia
&
Maharani,
2021;
Wahyuningsih
&
Mamnu’ah,
2015). Pemilihan pola asuh orang tua yang
demokratif diketahui secara signifikan
berhubungan dengan rendahnya tingkat
depresi pada remaja (Safitri & Hidayati,
2013). Selain pemilihan pola asuh orang
tua, peningkatan efikasi dan resiliensi diri
juga berhubungan secara signifikan dengan
penurunan depresi pada remaja (Florensa et
al., 2016; Shintia & Maharani, 2021). Selain
itu terdapat alternatif lain yang terbukti
berpengaruh terhadap penurunan depresi
pada remaja, yaitu expressive writing
therapy (Danarti et al., 2018). y
g
p
Besar sampel dalam penelitian ini
dihitung menggunakan Rumus Slovin dan
menghasilkan jumlah sampel sebanyak 158
orang responden. Metode pengambilan
sampel yang digunakan dalam penelitian ini
adalah
simple
random
sampling. Pengambilan sampel dilakukan dengan
memasukkan daftar nama seluruh siswa
kemudian akan dipilih secara acak pada
laman daring wheel of names yang
digunakan
karena
kemudahan
dan
otomatisasi penyimpanan nama terpilih. Sehingga meminimalisir adanya nama
terpilih yang terlewatkan. Nama responden
yang terpilih kemudian akan dihubungi oleh
peneliti dan apabila bersedia akan diberikan
link pengisian kuesioner. Variabel bebas dalam penelitian ini
antara lain genetik (jenis kelamin dan
riwayat
keturunan)
dan
psikologis
(dukuangan sosial dan kondisi psikososial),
sedangkan
variabel
terikatnya
adalah
kejadian depresi. Metode pengumpulan
data pada penelitian ini adalah survei daring
dengan melakukan pengisian kuesioner
pada Formulir Google. Instrumen yang
digunakan untuk meneliti genetik adalah
pengisian data diri pada laman kuesioner. Instrumen yang digunakan untuk meneliti
dukungan sosial menggunakan instrumen
terstandar yaitu Social Provisions Scale
(SPS) (Chiu et al., 2016). Pemaparan data di atas menjadi
dasar pelaksanaan penelitian ini. Penelitian
ini
dilakukan
dengan
tujuan
mengidentifikasi hubungan genetik (jenis
kelamin
dan
genetik
atau
riwayat
keturunan) dan psikologis (dukungan sosial
dan kondisi psikososial) dengan kejadian
depresi pada remaja. Urgensi penelitian ini
adalah sebagai bentuk kontribusi dalam
memberikan informasi bagi para remaja,
keluarga
atau
pihak
terkait
lainnya 28 CMHP Oktober 2021: Vol. 4 No. Distribusi Frekuensi Variabel Data pada tabel 1 menunjukkan
bahwa
mayoritas
responden
berjenis
kelamin perempuan sebesar 76,6% dan
sisanya sebesar 23,4% adalah laki-laki. Diketahui pula bahwa mayoritas responden
tidak memiliki riwayat keturunan pernah
mengalami depresi (93,0%). Sebagian besar
reponden juga memiliki tingkat dukungan
sosial yang baik (57,0%). Meskipun
gambaran
kondisi
psikososial
pada
responden seimbang yaitu pada kondisi
baik maupun terganggu. Namun diketahui
bahwa
mayoritas
responden
tidak
mengalami kejadian depresi (54,4%). Data tabulasi silang pada tabel 2
menunjukkan bahwa mayoritas responden
perempuan
yang
mengalami
kejadian
depresi sejumlah 55 orang (34,8%). Sedangkan
responden
laki-laki
yang
mengalami kejadian depresi sejumlah 17
orang (10,8%). Pada sudut pandang riwayat
keturunan diketahui mayoritas remaja yang
mengalami kejadian depresi tidak memiliki
riwayat
keturunan orang tua pernah
mengalami gangguan depresi sejumlah 64
orang (40,5%). Sedangkan remaja dengan
riwayat
keturunan
yang
mengalami
kejadian depresi sejumlah 8 orang (5,0%). Berdasarkan interpretasi tersebut
dari penelitian yang telah dilakukan maka
dapat diketahui distribusi frekuensi data
responden melalui tabel berikut: 29 CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp Lidya, et al. Hubungan Genetik dan Psikologis
dengan Kejadian Depresi pada Remaja Lidya, et al. Hubungan Genetik dan Psikologis
dengan Kejadian Depresi pada Remaja Tabel 2. Hubungan antara Genetik dan Psikologis dengan Kejadian Depresi pada Remaja
Tahun 2020
Kejadian Depresi
Total
Koefisien
Korelasi
Sig. Depresi
Tidak
Depresi
n
%
n
%
n
%
Genetik
Jenis
Kelamin
Laki-Laki
17
10,8
20
12,8
37 23,4
-0,004 0,958
Perempuan
55
34,8
66
41,8 121 76,6
Riwayat
Keturunan
Ada
8
5,0
3
2,0
11
7,0
0,149 0,061
Tidak ada
64
40,5
83
52,5 147 93,0
Psikologis
Dukungan
Sosial
Baik
32
20,3
58
36,7
90 57,0
-0,231** 0,003
Buruk
40
25,3
28
17,7
68 43,0
Kondisi
Psikososial
Baik
20
12,7
59
37,3
79 50,0
-0,407** 0,000
Terganggu
52
32,9
27
17,1
79 50,0
**Berhubungan secara signifikan pada α = 0.01
Sumber: Data primer, 2020 bel 2. Hubungan antara Genetik dan Psikologis dengan Kejadian Depresi pada Remaja
hun 2020 Pada sudut pandang faktor psikologis
diketahui bahwa mayoritas responden
dengan dukungan sosial yang baik tidak
mengalami kejadian depresi yaitu sebanyak
58 orang dari total 90 responden atau
sebesar 36,7%. Sedangkan
responden
dengan dukungan sosial yang buruk
mayoritas mengalami kejadian depresi
dengan jumlah 40 orang dari total 68
responden atau sebesar 25,3%. Hal serupa
juga terjadi pada data variabel psikososial
yang menunjukkan sebanyak 59 orang dari
total
79
responden
dengan
kondisi
psikososial baik tidak mengalami kejadian
depresi atau sebesar 37,3%. Distribusi Frekuensi Variabel Sementara
sebanyak 52 orang dari total 79 responden
dengan kondisi
psikososial
terganggu
mengalami kejadian depresi atau sebesar
32,9%. diketahui bahwa genetik tidak memiliki
hubungan dengan kejadian depresi pada
remaja, sedangkan psikologis memiliki
hubungan dengan kejadian depresi pada
remaja. Pada tabel 2 juga ditunjukkan kuat
dan nilai hubungan antar variabel. Variabel
dukungan sosial diketahui berhubungan
sangat lemah bernilai negatif (tidak searah)
dengan kejadian depresi pada remaja. Berbeda dengan variabel dukungan sosial,
varibel psikososial memiliki hubungan
yang cukup kuat dengan kejadian depresi
pada remaja meskipun sama-sama bernilai
negatif
(tidak
searah). Hal
tersebut
bermakna bahwasannya apabila seorang
remaja mendapatkan dukungan sosial dan
psikososial yang semakin baik maka remaja
tersebut
semakin
minim
mengalami
kejadian depresi. Hasil uji korelasi spearman pada tabel
2 menunjukkan bahwa variabel jenis
kelamin (sig. 0,958) dan riwayat keturunan
(sig. 0,061) tidak berhubungan secara
signifikan dengan kejadian depresi pada
remaja karena memiliki nilai signifikansi >
0,05. Sedangkan variabel dukungan sosial
(sig. 0,003) dan psikososial (sig. 0,000)
berhubungan secara signifikan dengan
kejadian depresi pada remaja karena
memiliki nilai signifikansi < 0,05. Sehingga PEMBAHASAN Hasil penelitian ini menunjukkan
bahwa kejadian depresi yang dilihat dari
sudut
pandang
jenis
kelamin
tidak
berhubungan secara signifikan. Hal tersebut
terlihat pada data bahwasannya baik remaja
dengan jenis kelamin laki-laki maupun
perempuan memilki probabilitas yang sama 30 CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp
Lidya, et al. Hubungan Genetik dan Psikologis
dengan Kejadian Depresi pada Remaja CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp Lidya, et al. Hubungan Genetik dan Psikologis
dengan Kejadian Depresi pada Remaja dalam mengalami kejadian depresi. Hasil
ini menunjukkan bahwa jenis kelamin tidak
menentukan seseorang akan lebih mungkin
mengalami kejadian depresi. Pada variabel
riwayat keturunan menunjukkan bahwa
remaja yang memiliki riwayat keturunan
depresi
lebih
berpotensi
mengalami
kejadian depresi. Namun ketika dilakukan
uji analisis hubungan menunjukkan hasil
bahwa
riwayat
keturunan
tidak
berhubungan secara signifikan dengan
kejadian
depresi. Sehingga
meskipun
seorang remaja tersebut berpotensi belum
tentu akan benar-benar mengalami kejadian
depresi. depresi
berhubungan
dengan
kondisi
psikososial
yang
dialami
seseorang
(Azzahro et al., 2021; Haryanto et al., 2015;
Marsasina & Fitrikasari, 2016; Putri &
Tobing, 2020; Santoso et al., 2018). Dukungan
sosial
dan
kondisi
psikososial diketahui sebagai variabel yang
berjalan seiringan, dimana pemberian
dukungan
sosial
yang
positif
pada
seseorang dapat meningkatkan kondisi
psikososialnya ke arah lebih baik dan
mencegah
terjadinya
gangguan
atau
permasalahan
psikososial
(Fitria
&
Maulidia, 2018). Hal tersebut diperkuat
dengan hasil penelitian lainnya yang
menyatakan bahwa sebesar hampir 80%
remaja membutuhkan dukungan sosial dari
keluarga dalam bentuk dukungan emosional
untuk lebih mempersiapkan diri dalam
menghapi
permasalahan
yang
sedang
dihadapi (Fitria & Maulidia, 2018). Hasil uji hubungan antara genetik
dengan kejadian depresi pada penelitin ini
sejalan dengan penelitian terkini yang juga
menyatakan bahwa riwayat keturunan tidak
berhubungan dengan kejadian depresi yang
dialami oleh para remaja utamanya siswa
SMA (Herfinanda & Kaloeti, 2021). Hasil
uji hubungan antara psikososial dengan
kejadian depresi pada penelitian ini sejalan
dengan hasil penelitian lainnya yang
menyatakan bahwa dukungan sosial dan
kondisi psikososial berhubungan dengan
kejadian depresi pada remaja (Azzahro et
al., 2021; Bintang & Mandagi, 2021;
Rahmayanti
&
Rahmawati,
2018;
Syahputra et al., 2018). Penelitian
ini
tentunya
belum
sepenuhnya
sempurna,
masih
perlu
dilakukan penelitian lebih lanjut terkait
topik serupa bahkan dengan variabel yang
lebih luas. Hal tersebut dikarenakan
penelitian ini masih memiliki keterbatasan
dalam
proses
pengambilan
data. Pengambilan data yang dilakukan secara
daring dari responden membuat peneliti
tidak dapat mendampingi selama proses
pengisian data. SIMPULAN DAN SARAN Kesimpulan dari sosialisasi ini
adalah bahwa presentasi dan video animasi
singkat dapat meningkatkan pengetahuan
dan
pemahaman
remaja
mengenai
kecanduan gawai. Sebagai saran, program
promosi mengenai penggunaan gawai yang
sehat pada remaja dapat mencontoh metode
ini. Studi berikutnya perlu melaporkan
status kecanduan gawai dan hasil intervensi
yang dilakukan untuk mencegah kecanduan
gawai pada kelompok umur ini. Badan
Narkotika
Nasional
Republik
Indonesia. (2019). Penggunaan
Narkotika di Kalangan Remaja
Meningkat. https://bnn.go.id/. Badan Pusat Statistik. (2014). Data Remaja
Teridentifikasi
Depresi. www.bps.go.id. Bintang, A. Z., & Mandagi, A. M. (2021). Kejadian Depresi Pada Remaja
Menurut
Dukungan
Sosial
Di
Kabupaten
Jember. Journal
of
Community Mental Health and
Public Policy, 3(2), 92–101. REFERENSI Adhikari, S. P., Meng, S., Wu, Y. J., Mao,
Y. P., Ye, R. X., Wang, Q. Z., Sun,
C., Sylvia, S., Rozelle, S., Raat, H.,
& Zhou, H. (2020). Epidemiology,
Causes, Clinical Manifestation And
Diagnosis, Prevention And Control
Of Coronavirus Disease (COVID-
19) During The Early Outbreak
Period:
A
Scoping
Review. Infectious Diseases of Poverty, 9(1),
1–12. Maka dari itu dapat dilakukan
penelitian serupa di berbagai lokasi lainnya
di Indonesia maupun negara lainnya dengan
responden yang memiliki kriteria sama. Meskipun demikian penelitian ini layak
digunakan
sebagai
literatur
atau
pertimbangan pada penelitian selanjutnya
melihat kuatnya teori atau penelitian
sebelumnya
yang
melengkapi
hasil
penelitian ini. Azzahro, E. A., Dian, J., Sari, E.,
Masyarakat, F. K., Epidemologi, D.,
Kesehatan, F., & February, F. (2021). Faktor Psikososial Dengan
Kejadian Depresi Pada Remaja
(Studi pada Siswa Kelas 12 SMA
XY Jember) Psychosocial Factors
with The Incidence of Depression in
Adolescents (Study at 12th Grade
XY High Schools Students in
Jember). 2655, 69–77. PEMBAHASAN Sehingga mengakibatkan
beberapa responden mengalami kesulitan
memahami pertanyaan dalam kuesioner. Dukungan
sosial
diketahui
berhubungan dengan kejadian depresi
secara signifikan bernilai negatif (tidak
sejalan). Sehingga
ketika
terjadi
peningkatan dukungan sosial maka terjadi
penurunan kemungkinan kejadian depresi
pada remaja (Bintang & Mandagi, 2021;
Rahmayanti
&
Rahmawati,
2018;
Syahputra et al., 2018). Mempertimbangkan kondisi pandemi
COVID-19 saat dilakukannya penelitian ini
juga dapat diketahui bahwa terdapat banyak
faktor eksternal individu yang secara
ekstrem lebih mempengaruhi kejadian
depresi pada remaja (Adhikari et al., 2020;
Brooks et al., 2020; Cornine, 2020; De
Olivera F et al., 2020; Duan & Zhu, 2020;
Hasanah et al., 2020; Huang et al., 2020;
Hyland et al., 2020; Liang et al., 2020; Maia
& Dias, 2020; Mazza et al., 2020; Sahu,
2020). Faktor eksternal tersebut meliputi,
krisis global, pandemi dunia, tekanan
psikologis, tekanan ekonomi, kekurangan
sumber daya, kerugian sosial, kerugian
finansial, pemberlakukan jaga jarak dan Kondisi
psikososial
diketahui
memiliki hubungan yang signifikan bernilai
negatif (tidak sejalan) dengan kejadian
depresi pada remaja. Sehingga ketika
kondisi psikososial seseorang semakin
membaik maka akan terjadi penurunan
kemungkinan kejadian depresi pada remaja
(Azzahro et al., 2021). Hasil tersebut sejalan
dengan beberapa penelitian sebelumnya
yang juga menyatakan bahwa kejadian 31 CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp CMHP Oktober 2021: Vol. 4 No. 1 (26-36)
http://cmhp.lenterakaji.org/index.php/cmhp Lidya, et al. Hubungan Genetik dan Psikologis
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Synthetic integrin-binding immune stimulators target cancer cells and prevent tumor formation
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Scientific reports
| 2,017
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cc-by
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Synthetic integrin-binding immune
stimulators target cancer cells and
prevent tumor formation
Manuel Brehs1 André J G Pötgens2 Julia Steitz3 KarineThewes1 Janett Schwarz2 Received: 3 July 2017
Accepted: 28 November 2017
Published: xx xx xxxx Received: 3 July 2017
Accepted: 28 November 2017
Published: xx xx xxxx Immuno-oncology approaches mainly utilize monoclonal antibodies or protein-based scaffolds that
bind with high affinity to cancer cells and can generate an immune response. Peptides can also bind
with high affinity to cancer cells and are intermediate in size between antibodies and small molecules. They are also synthetically accessible and therefore easily modified to optimize their stability, binding
affinity and selectivity. Here we describe the design of immune system engagers (ISErs), a novel class
of synthetic peptide-based compounds that bind specifically to cancer cells and stimulate the immune
system. A prototype, Y9, targets integrin α3, which is overexpressed on several cancer cells, and
activates the immune system via a formyl methionine-containing effector peptide. Injection of Y9 leads
to immune cell infiltration into tissue and prevents tumor formation in a guinea pig model. The anti-
tumor activity and synthetic accessibility of Y9 illustrate that ISErs could be applied to a wide variety of
targets and diseases. Antibodies (Abs), antibody-drug conjugates and their derivatives have become a significant part of state of the
art cancer treatments1. More than 14 monoclonal antibodies (mAbs) are currently approved for cancer therapy
and many more are under development2–4. These antibodies are raised against unique cell surface receptors or
antigens, allowing specific targeting of tumor cells. g
gi
g
g
Immune-mediated mechanisms, including complement-dependent cytotoxicity (CDC), antibody-dependent
cell-mediated cytotoxicity (ADCC) and other secondary immunological effects have been shown to play a cru-
cial role in the therapeutic efficacy of mAbs2,5,6. The mechanism of action of mAbs was previously thought to
involve blocking the physiological function of the target (e.g. a growth factor or cytokine receptor) by the Fab
portion but recent studies have demonstrated stimulation of the immune system by the Fc portion; Fc gamma
receptor-mediated activation of macrophages and natural killer cells leading to ADCC is necessary for the
anti-tumor effects of Rituximab (anti-CD20) and Trastuzumab/Herceptin (anti-Her2/ErbB2)7. f
Both biological and chemical approaches have been developed to overcome the intrinsic limitations of
mAbs with respect to selectivity, large size, stability, limited scope for alterations and production costs. Several
approaches based on full IgGs, antibody fragments or antibody mimics have been described8–19 and multispeci-
ficity has been achieved via genetic fusion or by chemical cross-linking of different complementarity determining
regions (CDRs)20,21. www.nature.com/scientificreports www.nature.com/scientificreports www.nature.com/scientificreports Received: 3 July 2017
Accepted: 28 November 2017
Published: xx xx xxxx Synthetic integrin-binding immune
stimulators target cancer cells and
prevent tumor formation
Manuel Brehs1 André J G Pötgens2 Julia Steitz3 KarineThewes1 Janett Schwarz2 A small molecule approach utilizes antibody-recruiting molecules (ARMs) that combine a
target-binding moiety with one for antibody recruitment22. Recently, in a combination of biological and chem-
ical methods, synthetic peptides have been linked to antibody scaffolds using site-selective reactions11,23 and a
synthetic molecule with targeting and effector functions similar to those of antibodies has also been reported24. f
We sought to design a fully synthetic molecule of intermediate size (~5 kDa) between small molecules and
Abs that would harness the ability of Abs to recognize tumor cells and initiate an innate immune response against
them. These immune system engagers (ISEr) comprise an immune stimulatory effector peptide and two binder
peptides that bind selectively to cell-surface markers of tumor or tumor-associated cells, are synthetically acces-
sible and do not activate cell-surface receptors (Fig. 1). The two binder peptides are linked to the effector peptide
via chemically inert, non-immunogenic, monodisperse polyethylene glycol (PEG) chains. The PEG length (10 nm 1Institute of Biological Chemistry, Faculty of Chemistry, University of Vienna, 1090, Vienna, Austria. 2Syntab
Therapeutics GmbH, 52074, Aachen, Germany. 3Institute for Laboratory Animal Science, University Hospital RWTH,
Aachen, Germany. 4Department of Medicine III, University Hospital RWTH, Aachen, Germany. Manuel Brehs, André
J.G. Pötgens, Julia Steitz, Karine Thewes and Janett Schwarz contributed equally to this work. Correspondence and
requests for materials should be addressed to C.F.W.B. (email: christian.becker@univie.ac.at) Scientific RePOrTS | 7: 17592 | DOI:10.1038/s41598-017-17627-0 1 www.nature.com/scientificreports/ Figure 1. (A) Comparison of a typical IgG (left) and the synthetic immune system engager (ISEr) Y9 consisting
of an effector (F) as well as two linker and binder (B) moieties. (B) Proposed mechanism of innate immune
system activation by Y9. Upon specific binding to tumor cells, neutrophils, monocytes and macrophages are
recruited to these cells and directly attack tumor cells displaying Y9. Further effects are based on cytokine
release of macrophages and monocytes, recruiting other immune cells. Figure 1. (A) Comparison of a typical IgG (left) and the synthetic immune system engager (ISEr) Y9 consisting
of an effector (F) as well as two linker and binder (B) moieties. (B) Proposed mechanism of innate immune
system activation by Y9. Upon specific binding to tumor cells, neutrophils, monocytes and macrophages are
recruited to these cells and directly attack tumor cells displaying Y9. Further effects are based on cytokine
release of macrophages and monocytes, recruiting other immune cells. t Figure 1. Synthetic integrin-binding immune
stimulators target cancer cells and
prevent tumor formation
Manuel Brehs1 André J G Pötgens2 Julia Steitz3 KarineThewes1 Janett Schwarz2 (A) Comparison of a typical IgG (left) and the synthetic immune system engager (ISEr) Y9 consisting
of an effector (F) as well as two linker and binder (B) moieties. (B) Proposed mechanism of innate immune
system activation by Y9. Upon specific binding to tumor cells, neutrophils, monocytes and macrophages are
recruited to these cells and directly attack tumor cells displaying Y9. Further effects are based on cytokine
release of macrophages and monocytes, recruiting other immune cells. per PEG27
25) was chosen to cover similar distances as the two paratopes in an antibody (Fig. 1A). By combining
two binder peptides per ISEr, we aimed to avoid the fast dissociation and low retention times that can reduce the
efficacy of even high-affinity monovalent binders under non-equilibrium physiological conditions26.f We selected an immune stimulatory effector peptide based on an N-formyl methionine containing peptide
employed to activate the innate immune system via granulocytes, monocytes and macrophages (denoted as F1 or
F2, Fig. 1). Such peptides are typically of bacterial origin and are well-known to elicit an innate immune response
by interaction with various immune cell receptors such as three members of the N-formyl-peptide receptor fam-
ily (FPR1–3)27–29. Previous experiments in which a formyl-methionyl-leucyl-phenylalanine peptide (fMLF) was
covalently linked to an IgG antibody induced monocyte chemotaxis30 and a two-fold increase in macrophage
infiltration of hepatomas and a decrease in tumor weight in guinea pigs31. At the same time no relevant toxicity in
a human phase I clinical study was observed32.hfi p
y
The selected binder peptide (denoted as B9, Fig. 1) binds with high affinity to the integrin α3 chain and
was identified by one-bead-one-compound (OBOC) screening33. The eight-residue binder consists of several
non-proteinogenic amino acids and has been evolved as a peptidomimetic, cyclized via two terminal cysteine
residues, using the one-bead-one-compound approach34. Here, we describe the synthesis and activity of a prototypical ISEr abbreviated Y9 (Y denotes the trimeric
functionality of the molecule) that targets specific cell surface structures (here the integrin α3 chain) as well as
engage the innate immune system (with an N-formyl effector). In a proof-of-concept study, this ISEr effectively
prevented tumor formation in an allogenic adenocarcinoma model in guinea pigs. Results
ff (C) Y9 was used for all in vitro and in vivo
experiments in its oxidized, disulfide cyclized form as confirmed by ESI-MS (+de-convoluted spectrum,
calculated MW of disulfide-cyclized Y9 is 5268 Da) and NMR experiments. These experiments confirmed the
correct assembly of Y9 and formation of both disulfide bridges. Formation of the disulfide bond between Cys
1 and Cys 8 in the binder peptide of Y9 results in a change in the chemical shifts of the Cys Cβ resonances. An overlay of the 1H-13C HSQC NMR spectra of reduced (grey contours) and oxidized (black contours) Y9 is
shown with Cys Cβ peaks labeled. Additional information on chemical shifts can be found in Table S2. diffusion of the larger molecule and potential occlusion of F1 by the PEG chains. Additional assays indicated
that F1 and F1-2PEG are less potent immune activators in mice and guinea pigs (Figure S2C,D)36. In order to
incorporate an effector suitable for activation of innate immune responses in humans, mice and guinea pigs, we
selected fMIFL (F2), a sequence previously identified from Staphylococcus aureus37–39. F2 induces chemotaxis
and superoxide production of human neutrophils starting at 10 pM concentration (Fig. 2A,B). Here, we also
observe a loss of potency by 1–2 orders of magnitude when linked to the PEG chains (F2-2PEG, Figs 2A,B,
S3). However, sufficiently high concentrations of effector to induce an effective immune response could still be
reached, as demonstrated by subcutaneous application of F2-2PEG in mice and guinea pigs. Analysis of tissue
sections of mouse skin samples 24 h after subcutaneous injection of 100 nmol F2-2PEG clearly showed infiltration
by immune cells at the injection site in comparison to control injected animals (Fig. 3C). We could demonstrate
that 6 h incubation of PBMCs with 100 nM F2-2PEG increased the levels of IL-1β secreted from human mono-
cytes (Fig. 3D) similarly to bacterial lipopolysaccharides (LPS). Other cytokine levels such as IL-6, IL-8 and
TNFα were not significantly increased by F2-2PEG while the positive control used here (LPS), induced increases
of these cytokines (Fig. 3D). Specific binding to cancer cells. Our selected binder B9 was prepared by Fmoc-based SPPS and carefully
analyzed with respect to binding to a panel of human, mouse and guinea pig tumor and blood cells (Tables 1
and S1). For the detection by streptavidin in flow cytometry, B9 was C-terminally labeled with biotin (Fig. 4A). Results
ff Effector activation of the immune system. Separate testing of the two components comprising the
ISEr Y9, the effector (F2) and the binder moiety (B9), were necessary to select suitable building blocks as well
as to learn what changes of the individual properties occur upon incorporation into an ISEr (Figs 1A and 2A). We initially started with testing the well-known N-formyl peptide effector fMLF (denoted as F1, Figure S1) at
concentrations between 1–10 nM. fMLF was selected based on prior reports of its use for inducing chemot-
axis and immune reactions when linked to antibodies30,32. Our experiments confirmed that this short, N-formyl
peptide prompts chemotaxis of human leukocytes and superoxide production in human granulocytes (dihy-
dro-rhodamine (DHR) oxidation assay, Figure S2A,B)35. However, incorporation of F1 into a suitable scaffold to
attach two binder moieties, consisting of a short glycine-glycine linker and two additional lysine residues linked
to PEG27 via their ε-amino groups (F1-2PEG, Figure S1), reduced the potency to induce chemotaxis and neutro-
phil activation by two orders of magnitude (Figure S2A,B). This behavior is best explained by the much slower Scientific RePOrTS | 7: 17592 | DOI:10.1038/s41598-017-17627-0 2 www.nature.com/scientificreports/ Figure 2. Synthesis and analytical data for Y9 (A) SPPS of Y9 comprising the fMIFL effector (F2) and two
integrin α3β1 binder moieties (B9). (B) Analytical data of purified Y9 (RP-HPLC, ESI-MS and de-convoluted
mass spectrum, calculated MW of fully reduced Y9 is 5271.0 Da). (C) Y9 was used for all in vitro and in vivo
experiments in its oxidized, disulfide cyclized form as confirmed by ESI-MS (+de-convoluted spectrum,
calculated MW of disulfide-cyclized Y9 is 5268 Da) and NMR experiments. These experiments confirmed the
correct assembly of Y9 and formation of both disulfide bridges. Formation of the disulfide bond between Cys
1 and Cys 8 in the binder peptide of Y9 results in a change in the chemical shifts of the Cys Cβ resonances. An overlay of the 1H-13C HSQC NMR spectra of reduced (grey contours) and oxidized (black contours) Y9 is
shown with Cys Cβ peaks labeled. Additional information on chemical shifts can be found in Table S2. Figure 2. Synthesis and analytical data for Y9 (A) SPPS of Y9 comprising the fMIFL effector (F2) and two
integrin α3β1 binder moieties (B9). (B) Analytical data of purified Y9 (RP-HPLC, ESI-MS and de-convoluted
mass spectrum, calculated MW of fully reduced Y9 is 5271.0 Da). Results
ff Concentration-dependent flow cytometry measurements using this B9-Biotin demonstrated high affinity bind-
ing to A431 tumor cells expressing integrin α3β1 (also known as VLA-3) on their surface (KD ~90 nM, Fig. 3
and S3). B9 competes with a commercially available anti-integrin α3 antibody (anti-CD49c) for the same bind-
ing site, thereby unequivocally establishing the target of this peptide binder (Fig. 4C). Binding affinity depends
on the addition of MnCl2 (at 2 mM) during incubation as Mn2+ induces the high-affinity state of the integrin
(Fig. 4B40,41). In the absence of Mn2+ the apparent KD drops to 176 nM. Scientific RePOrTS | 7: 17592 | DOI:10.1038/s41598-017-17627-0 3 www.nature.com/scientificreports/ Figure 3. Analysis of effector F2. (A) Chemotaxis of human leukocytes upon stimulation with different
concentrations of (PEGylated) effector. (B) Oxidative burst of human, murine and guinea pig leukocytes upon
stimulation with (PEGylated) effector. In panels A and B, data of three independent experiments are averaged. (C) Immune cell infiltration in mouse skin (HE-stained sections) 24 h after subcutaneous injection of PBS
buffer (top) and 100 nmol F2-2PEG (bottom) into mouse skin. Infiltrating immune cells are visible as small
dark dots (scale bar 100 µm). Black arrows indicate matrigel depots under the skin. (D) Cytokine release from
human monocytes upon stimulation with F2-2PEG or LPS (averages of two independent experiments with
monocytes from different donors). Figure 3. Analysis of effector F2. (A) Chemotaxis of human leukocytes upon stimulation with different
concentrations of (PEGylated) effector. (B) Oxidative burst of human, murine and guinea pig leukocytes upon
stimulation with (PEGylated) effector. In panels A and B, data of three independent experiments are averaged. (C) Immune cell infiltration in mouse skin (HE-stained sections) 24 h after subcutaneous injection of PBS
buffer (top) and 100 nmol F2-2PEG (bottom) into mouse skin. Infiltrating immune cells are visible as small
dark dots (scale bar 100 µm). Black arrows indicate matrigel depots under the skin. (D) Cytokine release from
human monocytes upon stimulation with F2-2PEG or LPS (averages of two independent experiments with
monocytes from different donors). Additional flow cytometry analyses with a variety of primary cells such as macrophages, fibroblasts and
endothelial cells (HUVECs) from humans, mice and guinea pigs were performed to exclude unspecific bind-
ing of B9 (Tables 1 and S1). www.nature.com/scientificreports/ Flow cytometry based analysis of anti-CD49c, B9-Biotin and Biotin-Y9 binding to various human,
mouse and guinea pig cell lines. ++ Strong binding, + medium binding, +/− weak binding, − no binding, nd
not determined. Table 1. Flow cytometry based analysis of anti-CD49c, B9-Biotin and Biotin-Y9 binding to various human,
mouse and guinea pig cell lines. ++ Strong binding, + medium binding, +/− weak binding, − no binding, nd
not determined. Activation of the innate immune system by ISEr Y9. Y9 exhibits similar effector properties to F2-2PEG
in chemotaxis and oxidative burst assays (Fig. 5A–C). Before using Y9 in any subsequent experiments we excluded
endotoxin contamination using a commercially available test system based on the limulus amebocyte lysate (LAL)
assay (Figure S6)44. In vivo experiments in mice and guinea pigs showed that local immune cell infiltration occurs
upon subcutaneous injections (Figs 5C, S7). Immune cell infiltration into the injection site was most pronounced
after the application of 100 nmol Y9 in guinea pigs. Immune infiltrate was also found (but was less intense) after the
subcutaneous injection of 100 nmol Y9 into guinea pigs that were immune suppressed by four weekly injections of
cyclophosphamide (CPA) as used in a subsequent efficacy study with the allogenic GPC-16 tumor model in guinea
pigs (Figure S7A,B). To explore the possible use of the large variety of xenogeneic tumor models available in mice
we also injected Y9 into immune-deficient Balb/cnu/nu mice. Here, dose-dependent increases in immune infiltrates
between 200 nmol to 500 nmol could be observed (Fig. 5C). This finding indicates that higher dosages of Y9 are
required for inducing an immune response in immune-deficient Balb/cnu/nu mice than for immune-suppressed
guinea pigs. Immunohistochemical staining of the skin sections with antibodies against the myeloid cell marker
myeloperoxidase (MPO) and the macrophage marker F4/80 demonstrated that the immune infiltrate consisted, at
least in part, of granulocytes, monocytes and macrophages (Figure S7C–F). Specific integrin binding of ISEr Y9. Binding to integrin α3 was shown in vitro via surface plasmon res-
onance (SPR) measurement using immobilized integrin α3. Here, a KD value of 60 nM for Y9 was determined
(Fig. 5D). This value is in the same range as found for B9-Biotin in previous flow cytometry measurements
of the binder moiety alone and agrees with measurements of biotinylated Y9 on cells. www.nature.com/scientificreports/ www.nature.com/scientificreports/ Species
Cells and cell lines
CD49c
B9
Y9
Human
A431
++
++
++
PC-3
++
++
++
K562
−
−
−
HUVEC
+
+
++
foreskin fibroblasts
nd
−
nd
primary lymphocytes
−
−
−
primary monocytes
−
−
−
primary granulocytes
−
−
−
primary monocytes 2 days
−
−
nd
primary macrophages 7 days
+/−
+/−
+/−
Mouse
NIH-3T3
nd
+
+
J774A.1
nd
−
nd
3LL-R
nd
+
nd
Hepa1–6
nd
+
nd
primary hepatocytes
nd
−
nd
primary leukocytes
nd
nd
−
primary macrophages 7d
nd
−
−
Guinea pig
GPC-16
++
++
++
104C1
++
++
nd
JH4 clone 1
++
++
nd
Table 1. Flow cytometry based analysis of anti-CD49c, B9-Biotin and Biotin-Y9 binding to various human,
mouse and guinea pig cell lines. ++ Strong binding, + medium binding, +/− weak binding, − no binding, nd
not determined. Species
Cells and cell lines
CD49c
B9
Y9
Human
A431
++
++
++
PC-3
++
++
++
K562
−
−
−
HUVEC
+
+
++
foreskin fibroblasts
nd
−
nd
primary lymphocytes
−
−
−
primary monocytes
−
−
−
primary granulocytes
−
−
−
primary monocytes 2 days
−
−
nd
primary macrophages 7 days
+/−
+/−
+/−
Mouse
NIH-3T3
nd
+
+
J774A.1
nd
−
nd
3LL-R
nd
+
nd
Hepa1–6
nd
+
nd
primary hepatocytes
nd
−
nd
primary leukocytes
nd
nd
−
primary macrophages 7d
nd
−
−
Guinea pig
GPC-16
++
++
++
104C1
++
++
nd
JH4 clone 1
++
++
nd
Table 1. Flow cytometry based analysis of anti-CD49c, B9-Biotin and Biotin-Y9 binding to various human,
mouse and guinea pig cell lines. ++ Strong binding, + medium binding, +/− weak binding, − no binding, nd
not determined. Species
Cells and cell lines
CD49c
B9
Y9
Human
A431
++
++
++
PC-3
++
++
++
K562
−
−
−
HUVEC
+
+
++
foreskin fibroblasts
nd
−
nd
primary lymphocytes
−
−
−
primary monocytes
−
−
−
primary granulocytes
−
−
−
primary monocytes 2 days
−
−
nd
primary macrophages 7 days
+/−
+/−
+/−
Mouse
NIH-3T3
nd
+
+
J774A.1
nd
−
nd
3LL-R
nd
+
nd
Hepa1–6
nd
+
nd
primary hepatocytes
nd
−
nd
primary leukocytes
nd
nd
−
primary macrophages 7d
nd
−
−
Guinea pig
GPC-16
++
++
++
104C1
++
++
nd
JH4 clone 1
++
++
nd Table 1. Results
ff No binding at concentrations below 1 µM was detected on most of the primary
cell types, except for a weak, heterogeneous binding signal observed on human macrophages and HUVEC. Expression of integrin α3 on human, rabbit and guinea pig cells was verified with a mouse anti-human CD49c
antibody and correlated with binding of B9 to these cell lines (Table 1). The CD49c specific antibody did not
recognize mouse integrin α3, however binding of B9 to most murine tumor cell lines could be demonstrated
(Tables 1 and S1). Synthesis and characterization of ISEr Y9. The ISEr Y9 combines F2 and B9, and was synthe-
sized by Fmoc SPPS. N-terminal formylation of MIFLGGKK on resin was quantitatively achieved with
p-nitrophenylformate42 and followed by Mtt removal from both lysine side chains onto which two PEG27 link-
ers were coupled prior to generating identical binder peptides, also via stepwise SPPS. The complete molecule,
denoted as Y9, was obtained in 20% yield based on the synthesis scale of 0.2 mmol and purified product (207 mg). Purification via RP-HPLC of reduced Y9 (Fig. 2B) was followed by oxidative cyclization of both binder moieties
to give active Y9 with more than 98% purity (Fig. 2C). To characterize Y9 structurally, 2D NMR data were recorded in aqueous solution at pH 3.0 and chemical
shifts were assigned for the reduced form of Y9 (Table S2). Most of the secondary Hα shifts of both the binder and
effector peptides in Y9 were smaller than 0.1 ppm, showing that both peptides are in a predominantly random
coil conformation (Figure S543). NMR data of the oxidized form of Y9 were compared with that of reduced Y9,
confirming (in agreement with MS data) the presence of the disulfide bond. Most notably, the Cβ resonance of the
cysteine residues in B9 shifted from ~28 ppm in reduced to ~41 ppm in oxidized Y9 (Fig. 2C). Scientific RePOrTS | 7: 17592 | DOI:10.1038/s41598-017-17627-0 4 www.nature.com/scientificreports/ Based on this data, we estimated a clearance half-life of
~2 hours for Y9. In all assays, no major degradation product was found that would point to design weaknesses. Stability and availability of ISEr Y9. The amount of effector available to attract and stimulate immune
cells upon administering Y9 is not only affected by internalization and dissociation but also by its degrada-
tion. To this end, we have tested stability of Y9 in mouse serum using extraction and HPLC-based quantifica-
tion (Figure S11). Y9 remains largely intact for extended periods of time (>24 h) by combining the protective
properties of the PEG chains against proteolysis as well as by the presence of several non-proteinogenic amino
acids in the binder peptides and their cyclic structure (Fig. 2A). After 48 hours only 20% of Y9 were degraded. Bioavailability of Y9 in vivo was tested in sera taken from mice after subcutaneous application of Y9, using a sen-
sitive dot-blot method and a custom-made antibody against B9 (detection limit ~1 nM, Figure S12). Upon local
subcutaneous injection of 200 or 500 nmol of Y9, the binder peptide was still detected after 24 h. For injection of
200 nm Y9 additional measurements of serum concentrations were carried out after 1 h and 7 h showing serum
concentrations of Y9 of 350 and 75 nM, respectively. Based on this data, we estimated a clearance half-life of
~2 hours for Y9. In all assays, no major degradation product was found that would point to design weaknesses. Effect of ISEr Y9 on tumor formation in guinea pigs. Antitumor efficacy of Y9 was demonstrated by
administering a single dose of 200 nmol (~1 mg) together with GPC-16 tumor cells subcutaneously into guinea
pigs. Based on our in vitro data and previous studies indicating successful stimulation of the innate immune
system by fMLF-conjugated IgG, guinea pigs are a suitable animal model to test efficacy of Y932,45. We have estab-
lished a guinea pig tumor model using guinea pig-derived colorectal adenocarcinoma cells (GPC-1646) injected
subcutaneously into Dunkin Hartley guinea pigs. Since the genetic background of the guinea pig strain from
which the GPC-16 tumor originated was unknown and due to the limited availability of specific-pathogen-free
(SPF)-guinea pig strains, we established the tumor growth under immunosuppression with cyclophosphamide
(CPA)47. www.nature.com/scientificreports/ To determine binding
constants on integrin α3β1 expressing cells, we used biotinylated Y9 (biotin attached to the N-terminus of
the effector) and determined an apparent KD of 244 nM for binding to A431 cells (Fig. 5E). This three-fold
decrease in affinity when compared to B9-Biotin could be due to an occluding effect of the PEG spacers. To
test this hypothesis we used our scaffold (fMIFLGGKK with two PEG27 chains) just carrying one B9 binder
peptide. B9 competed with 200 nM B9-Biotin at an IC50 of 318 nM whereas the scaffold with only one B9
binder achieved the same effect only at 1533 nM. This confirmed our hypothesis that the PEG spacers have a
negative impact on binding affinity. In competition experiments Y9 displaced B9-Biotin at a four-fold lower
concentration than the monovalent binder (380 nM), which also demonstrated the positive effect of bivalency
in Y9 (Figure S8). Further analysis of binding of B9 and Y9 under physiological conditions (37 °C) revealed
that Y9 remains present on the surface of various cancer cell lines longer than B9 (Figure S9). B9-Biotin bound
to PC-3 or A431 cells disappeared from cells quickly when incubated at 37 °C and no signal above background
was detected by streptavidin staining after 5 min. However, biotinylated Y9 remained on cell membranes with
t1/2 of at least 15 minutes (Figure S9). To exclude contributions by the effector F2 to binding of Y9 to A431 cells,
staining with a formyl peptide receptor 1 (FPR-1)-specific antibody confirmed that no FPR-1 was present on
these cells (Figure S10). Scientific RePOrTS | 7: 17592 | DOI:10.1038/s41598-017-17627-0 5 www.nature.com/scientificreports/ Figure 4. Analysis of binder B9. (A) Structure of B9-Biotin. (B) Concentration-dependent binding of B9-
Biotin to A431 (epidermoid carcinoma cells) expressing integrin α3β1 in the presence and absence of Mn2+
to induce the high affinity state of the integrin. Data was fitted based on a one site-specific binding model and
gave apparent KD values of 90 nM in the presence of Mn2+ and 176 nM in its absence. (C) Displacement of an
anti-CD49c-PE conjugate by increasing concentrations of B9. No displacement of the antibody occurred with
scrambled binder (sc-B9). An isotype control with mlgG1-PE was used to determine background signal. Figure 4. Analysis of binder B9. (A) Structure of B9-Biotin. www.nature.com/scientificreports/ (B) Concentration-dependent binding of B9-
Biotin to A431 (epidermoid carcinoma cells) expressing integrin α3β1 in the presence and absence of Mn2+
to induce the high affinity state of the integrin. Data was fitted based on a one site-specific binding model and
gave apparent KD values of 90 nM in the presence of Mn2+ and 176 nM in its absence. (C) Displacement of an
anti-CD49c-PE conjugate by increasing concentrations of B9. No displacement of the antibody occurred with
scrambled binder (sc-B9). An isotype control with mlgG1-PE was used to determine background signal. Figure 4. Analysis of binder B9. (A) Structure of B9-Biotin. (B) Concentration-dependent binding of B9- g
y
( )
( )
p
g
Biotin to A431 (epidermoid carcinoma cells) expressing integrin α3β1 in the presence and absence of Mn2+
to induce the high affinity state of the integrin. Data was fitted based on a one site-specific binding model and
gave apparent KD values of 90 nM in the presence of Mn2+ and 176 nM in its absence. (C) Displacement of an
anti-CD49c-PE conjugate by increasing concentrations of B9. No displacement of the antibody occurred with
scrambled binder (sc-B9). An isotype control with mlgG1-PE was used to determine background signal. Stability and availability of ISEr Y9. The amount of effector available to attract and stimulate immune
cells upon administering Y9 is not only affected by internalization and dissociation but also by its degrada-
tion. To this end, we have tested stability of Y9 in mouse serum using extraction and HPLC-based quantifica-
tion (Figure S11). Y9 remains largely intact for extended periods of time (>24 h) by combining the protective
properties of the PEG chains against proteolysis as well as by the presence of several non-proteinogenic amino
acids in the binder peptides and their cyclic structure (Fig. 2A). After 48 hours only 20% of Y9 were degraded. Bioavailability of Y9 in vivo was tested in sera taken from mice after subcutaneous application of Y9, using a sen-
sitive dot-blot method and a custom-made antibody against B9 (detection limit ~1 nM, Figure S12). Upon local
subcutaneous injection of 200 or 500 nmol of Y9, the binder peptide was still detected after 24 h. For injection of
200 nm Y9 additional measurements of serum concentrations were carried out after 1 h and 7 h showing serum
concentrations of Y9 of 350 and 75 nM, respectively. www.nature.com/scientificreports/ Final efficacy studies were then performed under CPA treatment (200 mg/kg body weight) one day
before tumor inoculation and thereafter once per week for 4 weeks. Two independent series of experiments
showed that only in 3 out of 10 Y9-treated animals tumors were present after 35 days, whereas in the control
group (GPC-16 cells in buffer) 8 out of 9 animals showed solid tumor formation after 35 days (Fig. 6) as verified
by macroscopic and microscopic observations. None of the Y9-treated guinea pigs showed any undesired effects
besides reddening at the injection site. Safety of ISEr Y9 in mice. No effect of Y9, at concentrations of up to 10 µM, on the viability and proliferation
of different cancer cell lines was observed in MTT assays (Figure S13). To further confirm that Y9 can be safely
applied in animals, we performed initial dose escalation studies testing acute toxicity after repeated application of Y9
in immune-competent Balb/c mice. Five animals per group were subcutaneously injected with 200, 400 or 800 nmol
Y9 every two days for 14 days. A control group of ten mice received 0.9% NaCl. Four days after the last application of
Y9, blood and serum parameters as well as relative organ weights were measured and tissue samples of organs were
analyzed by histopathology. As expected Y9-treated animals exhibited local effects such as increased neutrophil and
monocyte infiltrates at the injection site and, correlating with this observation, a mild but significant dose-dependent
immune infiltration and lymphoid hyperplasia in the draining lymph nodes was found. No histopathological effects
were detected in any of the organs tested (liver, kidney, pancreas, spleen, heart, lung, ovaries, brain, stomach, intes-
tine, mesentery) after repeated 200 and 400 nmol Y9 injections (Figure S14). Only with the highest dose of 800 nmol
moderate degenerative changes of the kidney, including distended tubules and protein casts, were detected. Measuring
relative organ weights, a slightly enlarged liver weight was observed. However, no histopathological abnormalities
or steatosis was detected in the liver (Figure S15). www.nature.com/scientificreports/ The analysis of serum and blood samples after the application of
the highest dose of 800 nm Y9 revealed slightly but significant increased lipase and creatinine (CREA) levels and Scientific RePOrTS | 7: 17592 | DOI:10.1038/s41598-017-17627-0 6 www.nature.com/scientificreports/ significantly increased amylase, triglycerides, cholesterol and blood urea nitrogen (BUN) levels in serum (Figure S15
Hematological analysis including a differential hemogram of the white blood cells showed no significant change
Figure 5. In vitro and in vivo analysis of Y9. (A) Chemotaxis of human and murine leukocytes upon stimulation wit
different concentrations of Y9. (B) Oxidative burst of human, mouse and guinea pig leukocytes upon stimulation
with Y9. (C) Immune cell infiltration in nude mice and guinea pig skin (HE stained sections, scale bars 100 µm) 24 h
after s.c. injection of 100 nmol (guinea pig) or 500 nmol Y9 (Balb/cnu/nu mice), respectively. (D) SPR measurement of
Y9 binding to immobilized integrin α3β1 (VLA-3). (E) Concentration-dependent binding of biotinylated Y9 to A43
cells in the presence or absence of MnCl2 (detected by incubation with PerCP-Cy5.5 labeled streptavidin). Figure 5. In vitro and in vivo analysis of Y9. (A) Chemotaxis of human and murine leukocytes upon stimulation w Figure 5. In vitro and in vivo analysis of Y9. (A) Chemotaxis of human and murine leukocytes upon stimulation with
different concentrations of Y9. (B) Oxidative burst of human, mouse and guinea pig leukocytes upon stimulation
with Y9. (C) Immune cell infiltration in nude mice and guinea pig skin (HE stained sections, scale bars 100 µm) 24 h
after s.c. injection of 100 nmol (guinea pig) or 500 nmol Y9 (Balb/cnu/nu mice), respectively. (D) SPR measurement of
Y9 binding to immobilized integrin α3β1 (VLA-3). (E) Concentration-dependent binding of biotinylated Y9 to A431
cells in the presence or absence of MnCl2 (detected by incubation with PerCP-Cy5.5 labeled streptavidin). significantly increased amylase, triglycerides, cholesterol and blood urea nitrogen (BUN) levels in serum (Figure S15). Hematological analysis including a differential hemogram of the white blood cells showed no significant changes. Overall, these results do not indicate any significant systemic toxic effect at these effective dosages. Scientific RePOrTS | 7: 17592 | DOI:10.1038/s41598-017-17627-0 7 www.nature.com/scientificreports/ Figure 6. Efficacy of Y9 tested in a GPC-16 tumor model in guinea pigs (A) Measurement of tumor size in
GPC-16 inoculated, CPA-treated guinea pigs over 35 days. Discussion
l Conventional antibodies, fragments thereof and other protein-based binders address a molecular weight range
above 25 kDa, in contrast to small molecule drugs that are in the range of 300 to 1000 Da, which leaves the
intermediate mass range open for new concepts such as the ISEr here. The trivalent ISEr Y9 provides a purely
synthetic alternative to conventional antibodies and related biological techniques. It offers a versatile synthesis
route to medium sized drug molecules (~5 kDa) that combine bivalent, specific target binding with activation
of the innate immune system. Target specificity is achieved by attaching two binders (B9) to a generic scaffold
carrying fMIFL (F2) as an effector for activating formyl peptide receptors (FPRs). This effector induces chem-
otaxis and activation of human and guinea pig leukocytes in vitro and in vivo without undesired side effects.i f
Formyl-peptides can also induce the expression of IL-1β, TNFα and IL-848, but we did not observe a significant
induction of the latter two cytokines by F2. Our data thus indicates that treatment of tumors with F2-2PEG does not
contribute to the expression of these potentially tumor-promoting cytokines49. Furthermore, the flexible synthesis
route allows for the adaption of effectors to specific requirements with respect to immune stimulation and species.h pf
pi
q
p
p
The design of Y9 allows access to more than one binding site on a cellular target such as in dimeric or clustered
receptors, thereby improving binding to the targeted cells beyond simply increasing the local concentration of a
receptor ligand towards more complex avidity effects. Such effects will help to accumulate Y9 at a concentration
in tumor tissue sufficient to activate macrophages. Bispecific or multispecific molecules targeting two or more
different cell-surface receptors can also be easily envisioned based on this design and synthesis scheme. Such
molecules will combine the ease of chemical synthesis with well-known advantages of bi- or multispecific binders,
as demonstrated for approved bispecific antibodies such as Catumaxomab50. The PEG chains reduced the affinity
of Y9 for integrin α3-expressing A431 cells. Nevertheless, efficacy could still be demonstrated in vivo, possibly
due to the role of PEG in protecting against biodegradation, improving solubility, and promoting the formation
of monodisperse molecules in aqueous solution25. Y9 reduced the establishment of a GPC-16 based tumor in guinea pigs by 67% upon a single dose treat-
ment during injection of tumor cells. www.nature.com/scientificreports/ Animals receiving 1.6–2 × 107 GPC-16 cells mixed
with 200 nmol of Y9 and Matrigel before injection are compared with animals receiving GPC-16 cells premixed
only with PBS and Matrigel as a control. With Y9 treatment only 3 out of 10 guinea pigs carried verifiable
tumors whereas in the untreated control group 8 out of 9 animals carried tumors (statistics are based on t-test
for the upper graph and on a Wilcoxon-test for the engraftment comparison). (B) Tumor growth at day 35 after
inoculation in guinea pig skin (HE-sections) treated with PBS control (top) or Y9 (bottom); 50x magnification. Figure 6. Efficacy of Y9 tested in a GPC-16 tumor model in guinea pigs (A) Measurement of tumor size in
GPC-16 inoculated, CPA-treated guinea pigs over 35 days. Animals receiving 1.6–2 × 107 GPC-16 cells mixed
with 200 nmol of Y9 and Matrigel before injection are compared with animals receiving GPC-16 cells premixed
only with PBS and Matrigel as a control. With Y9 treatment only 3 out of 10 guinea pigs carried verifiable
tumors whereas in the untreated control group 8 out of 9 animals carried tumors (statistics are based on t-test
for the upper graph and on a Wilcoxon-test for the engraftment comparison). (B) Tumor growth at day 35 after
inoculation in guinea pig skin (HE-sections) treated with PBS control (top) or Y9 (bottom); 50x magnification. Online Methods
f ff Synthesis of effector and binder peptides. Peptides were obtained via standard Fmoc SPPS. In brief,
the first amino acid was DIC-activated and subsequently coupled to Wang resin (100–200 mesh, 0.9 mmol/g sub-
stitution level) in the presence of DMAP as a catalyst. All following couplings were performed using HBTU as
activator. To check for complete coupling, a Ninhydrin test was conducted. Fmoc was removed using 20% piperi-
dine in DMF. Formylation was achieved using 3 eq p-nitrophenylformate in DMF for 3 h. The peptide was cleaved
using TFA/TIS/H2O/DMS 92.5:2.5:2.5:2.5 (v/v) for 2 h, following peptide precipitation with cold diethyl ether
and re-solubilization in ACN/H2O 1:1 (v/v) with 0.1% TFA. After freeze drying, peptides were dissolved in 6 M
GndHCl, pH 4.7 and purified via RP-HPLC. Synthesis of Y9. Removal of the Mtt protecting group was achieved by flow washing the peptidyl-resin with
DCM/TFA/TIS 98:1:1 (v/v) until the solution turned colorless. Each lysine side chain was PEGylated overnight
using 1.12 equivalents of Fmoc-NH-(PEG)27-COOH and HATU as activator. Subsequently, the synthesis was
continued using standard SPPS methods as described above. Surface plasmon resonance (SPR). Single cycle kinetic experiments were conducted on a Biacore 3000
system using a CM5 sensor chip at 25 and 37 °C with a flow rate of 10 µl/min. After coupling of the VLA-3 recep-
tor (R&D Systems) via standard EDC/NHS immobilization chemistry (7 min activation with EDC/NHS followed
by a 7 min flush with VLA-3) in 10 mM NaOAc buffer at pH 6 containing 1 mM MnCl2, a 1 mM solution of eth-
anolamine was injected for 7 min to block all amine reactive sites. Subsequently the analyte was flushed over the
chip surface at a flow rate of 10 µl/min in HEPES buffered saline supplemented with 1 mM MnCl2. As no method
was found to regenerate the surface from Y9 without damaging the VLA-3, Y9 was injected in increasing concen-
trations, taking care not to reach saturated binding (single cycle kinetics). Animals. All experiments were conducted in accordance with the German legislation governing animal
studies. The Principles of Laboratory Animal Care (Guide for the Care and Use of Laboratory Animals: Eighth
Edition. Washington, DC: The National Academies Press, 2011) were followed. The animal protocol was approved
by the Governmental Animal Care and Use Committee (LANUV AZ. 87-51.04.2010.A278). All experiments were
performed in the Institute for Laboratory Animal Science, a DIN ISO 9001/2008 certified facility. Human cells. Online Methods
f ff Primary cells were obtained from healthy volunteers that served as donors at our blood bank,
after written informed consent and approval by the local ethics committee of the Uniklinik RWTH Aachen,
Germany. y
For more information on experimental details about NMR measurements, binding and stability assays as well
as on animal testing, please see Supplementary information. Discussion
l As no direct toxic effects of Y9 on cancer cells were observed in vitro, we
conclude that activation of immune cells interfered with tumor establishment. Clinical use of such a treatment
can be envisioned in preventing tumor relapse or development of metastases after first line treatments such as
surgery, chemotherapy and/or radiation. As the simultaneous injection of tumor cells and Y9 mimics a local
administration of the drug, as for instance anticipated during chemoembolization or peri-surgical application,
other therapeutic applications are possible as well. Considering that Y9 was still effective in cyclophosphamide
treated guinea pigs, it might provide an effective treatment in combination therapies. No severe toxic effects other
than the expected moderate local reactions to Y9 were observed in guinea pigs and mice. Only repetitive doses
four-fold higher than used in the effective treatment led to mild pathological changes in kidneys and some serum
and blood parameters. The moderate degenerative changes of the kidney including distended tubules and protein
casts in the highest dosage group indicate renal clearance of Y9. In general, Y9 can be safely used within a dose
range of 100 to 400 nmol (0.5–2 mg). Scientific RePOrTS | 7: 17592 | DOI:10.1038/s41598-017-17627-0 8 www.nature.com/scientificreports/ Overall, Y9 is an alternative to conventional antibody-based therapeutics and related protein-based
approaches due to its entirely flexible and robust chemical synthesis. ISErs can be generated quickly, providing
access to customized drugs targeting specific receptors not only relevant for cancer therapy but also for other
disease areas requiring modulation of innate immune responses at distinct target sites such as inflammatory and
autoimmune diseases. References y J
p
y
py
2. Scott, A. M., Wolchok, J. D. & Old, L. J. Antibody therapy of cancer. Nat. Rev. Cancer 12, 278–87 (2012).h 3. Chames, P., Van Regenmortel, M., Weiss, E. & Baty, D. Therapeutic antibodies: successes, limitations and hopes for the future. Br. J
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Förderkennzeichen 0315918) and by the European Union and NRW government (NRW-EU Ziel 2, (EFRE), 005-
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Open Access This article is licensed under a Creative Commons Attribution 4.0 International
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https://traumamanagement.biomedcentral.com/track/pdf/10.1186/s13032-015-0023-4
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English
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Effects of a formalized collaboration between plastic and orthopedic surgeons in severe extremity trauma patients; a retrospective study
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Journal of trauma management & outcomes
| 2,015
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cc-by
| 7,462
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© 2015 Sommar et al.; licensee BioMed Central. 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 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. Open Access Open Access Abstract Background: Severe trauma to the extremities often includes a combination of fractures and soft tissue injuries. Several publications support that the patient outcome is better when skeletal stabilization is followed by early soft-tissue
coverage. In an effort to optimize the treatment of these patients, we established a formalized collaboration in
2008 between the Departments of reconstructive plastic surgery and orthopedics at the Karolinska University Hospital. Methods: A retrospective review was conducted for all patients who had suffered severe extremity trauma and received
either a free or a pedicled flap for extremity reconstruction. We compared the management of patients 0–4 years before
and 0–4 years after the collaboration started especially with respect to; choice of flap, time to flap coverage, number of
operations/revisions, total in-hospital stay. Results: After initiation of the collaboration, the number of flaps increased from 13 flaps (5 free and 8 pedicled) to 44
flaps (21 free and 23 pedicled). Fewer postoperative revisions was seen, as well as shorter in-hospital stay. Conclusions: The present study highlights the importance of formalized collaboration between orthopedic and plastic
surgeons in severe extremity trauma patients. The concept of an interdisciplinary approach has led to an increased
number of trauma patients referred for plastic surgical consultation, an increased number of flaps, fewer postoperative
revisions and shorter hospital stay. Keywords: Extremity trauma, Flaps, Orthoplastic collaboration Effects of a formalized collaboration between
plastic and orthopedic surgeons in severe
extremity trauma patients; a retrospective study Pehr Sommar1*, Yamin Granberg2, Martin Halle1, Ann-Charlott Docherty Skogh1, Kalle T Lundgren1
and Karl-Åke Jansson3 * Correspondence: pehr.sommar@karolinska.se
1Department of Molecular Medicine and Surgery, Section of Plastic Surgery,
Karolinska Institutet and Karolinska University Hospital Stockholm, Stockholm,
Sweden
Full list of author information is available at the end of the article Sommar et al. Journal of Trauma Management & Outcomes (2015) 9:3
DOI 10.1186/s13032-015-0023-4 Sommar et al. Journal of Trauma Management & Outcomes (2015) 9:3
DOI 10.1186/s13032-015-0023-4 Introduction incidence rate, an orthoplastic approach has been sug-
gested; i.e. a multidisciplinary collaboration involving both
orthopedic and plastic surgery teams [7,8]. Severe extremity trauma is often associated with a com-
bination of fractures and soft tissue injuries. It is gener-
ally accepted that the outcome is better when skeletal
stabilization is followed by early soft-tissue coverage [1-4]. Soft tissue flaps provide the protection and vascularization
needed to resist infection and promote bone healing. Meling et al. reported the incidence of all open long bone
fractures to be 13/105/year 2004–2007 [5]. Weiss et al. found a decreasing incidence of open tibial shaft fractures in
the Swedish population, which was 2.3/105/year, 1998–2004
[6]. Because of the complexity of these fractures and the low Naique et al. demonstrated that severe open tibia frac-
tures treated at dedicated trauma units with both ortho-
pedic and plastic surgery services had lower complication
rates and less need for revision surgery compared with
those treated initially at hospitals without such combined
services [8]. To ensure an orthoplastic approach, we formalized a
collaboration between the Departments of reconstructive
plastic surgery and orthopedics in April 2008 (Multidis-
ciplinary collaboration MDC). The collaborative protocol
agreed upon early attendance of plastic surgeons in ex-
tremity trauma cases, preferably at the trauma room or at
primary revisions of open fractures in order to expedite
conjoint planning of further operations. An outpatient Page 2 of 8 Sommar et al. Journal of Trauma Management & Outcomes (2015) 9:3 chronic osteomyelitis, or patients referred to Karolinska
University Hospital later than 14 days after the trauma
were excluded from sub analysis. clinic with orthopedics and plastic surgeons for patients
admitted from other hospitals was set up as well as
multidisciplinary postoperative follow up of patients with
trauma, and osteomyelitis following trauma to the extrem-
ities. A contract was established to ensure equal contribu-
tion of respective operating facilities and to ensure efficient
rescheduling of elective surgery when emergent full day
cases were to be planned with short notice. Material and methods All consecutive patients who had suffered extremity
trauma and who received either a free or a pedicled flap
for coverage of soft tissue defects, between April 2004
and April 2012, were included. A comparison was made
between the management of patients 4 years before the
formalized collaboration (21 April 2004 – 20 April 2008)
and 4 years after the formalized collaboration (21 April
2008 – 20 April 2012). Only patients with acute extrem-
ity trauma with exposed bone/open fracture or patients
suffering from skin necrosis/infection after fracture sur-
gery or chronic osteomyelitis following acute extremity
trauma were selected for inclusion. Patients reconstructed
after orthopedic tumor surgery or arthroplasty failures
were not included. The included patients were identified
by using the hospitals electronic operation planning
system; Orbit (SYSteam Critical Care AB, Stockholm,
Sweden). Patients were searched for using surgical pro-
cedure codes for different types of free and pedicled
flaps. Time to flap coverage was counted from trauma/
admission at Karolinska University Hospital, or in the
secondary cases from occurrence of wounds, fistulation
or exposed bone. In case of a failed flap with demand
for a secondary flap, time to flap coverage was counted
to the first flap. The time to complete soft tissue coverage after flap sur-
gery was determined as no remaining skin wounds at clin-
ical evaluation at follow up and accepted as stated in the
respective patient charts. Fracture healing was determined
by radiological and clinical evaluation retrieved from
patient charts. The project was done in accordance with a protocol
approved by the Ethical Committee at Karolinska Insti-
tutet, Stockholm, Sweden. (Project 2013/307-31/2). The obtained results were statistically compared using a
Mann–Whitney test in GraphPad Prism 5.0 (GraphPad
Software Inc., CA). A p-value of ≤0.05 was considered
statistically significant. Results were presented with median
values. Introduction Operations/revisions included all surgery performed in
an operating room on the patient due to the trauma and
included; primary wound debridement, primary fixation
with external fixation device, secondary fixation in those
cases where it did not concur with flap surgery, wound re-
visions/Topical negative pressure (TNP) therapy-change,
reoperations due to flap failure, additional split skin graft-
ing, extraction of external or internal fixation, bone graft-
ing, conversion to circular external fixation (Taylor spatial
frame™), corrections due to angulation/malrotation of
fractures. TNP was only used as a dressing and not as a
method to close the wound. To investigate the effects of this collaboration, a retro-
spective review was conducted for all patients who had
suffered severe extremity trauma and received either a
free or a pedicled flap for coverage of soft tissue defects
0–4 years before and after the established collaboration. The main hypotheses were that this collaboration would
decrease the time to soft tissue coverage as well as the
in-hospital stay. The total in-hospital stay was calculated by adding all
admissions for operations/revisions before and after flap
coverage. Results In total, 52 patients (36 males, 16 females) treated with a
free or pedicled flap were identified during the 8 year
study period. One patient was included in both groups
as she received one flap before and one after the start of
the collaboration (53 cases). In total these patients re-
ceived 57 flaps. 13 flaps were performed in the 4 years
before the start of the collaboration, of which 5 were free
flaps and 8 were pedicled flaps. 44 flaps were performed
in the 4 years after the start of the collaboration, of
which 21 were free flaps and 23 were pedicled flaps. Patients and choice of flaps is stated in Tables 1 and 2. All
5 free flaps performed before the collaboration survived. Total flap necrosis occurred in 2 out of 21 free flaps after
the start of the collaboration. No partial necrosis was seen
in free flaps. Total flap necrosis was seen in 1 pedicled flap
before the start of the collaboration and 2 after the start of
the collaboration. Partial flap necrosis was seen in 6 of the
pedicled flaps (1 before and 5 after the start of the collab-
oration). The median age at the time of flap reconstruc-
tion before the start of the collaboration was 45 (21–64) Open fractures were classified according to Gustilo-
Anderson [9]. Fractures were classified strictly after the
status at admission. Fractures classified as GIIIA, which in
secondary revisions developed into IIIB due to tissue
necrosis or infection were not reclassified. In order to investigate the impact of the collaboration
on time to flap surgery after admission to the hospital,
and the impact on the postoperative treatment and in-
hospital stay, only patients with acute extremity trauma in-
cluding open fractures or soft tissue defects with exposed
bone were selected for a sub analysis (Tables 1 and 2). Patients with skin necrosis/infection after fracture surgery, Sommar et al. Results Table 1 Patients treated before start of multidisciplinary collaboration Time to flap (d) Time to coverage (d) Patients treated before start of multidisciplinary collaboration with a free or pedicled flap for soft tissue reconstruction after lower extremity trauma. Patients excluded in
the subgroup analysis of acute extremity trauma were patients recieving flaps due to skin necrosis/infection after fracture surgery, chronic osteomyelitis, or patients
referred to Karolinska University Hospital later than 14 days after the trauma. Time to flap is counted from trauma/admission at Karolinska University Hospital, or in the
secondary cases from occurrence of wounds, fistulation or exposed bone. Time to complete soft tissue coverage after flap surgery was determined as no remaining skin
wounds at clinical evaluation at follow up. Patients treated before start of multidisciplinary collaboration with a free or pedicled flap for soft tissue reconstruction after lower extremity trauma. Patients excluded in
the subgroup analysis of acute extremity trauma were patients recieving flaps due to skin necrosis/infection after fracture surgery, chronic osteomyelitis, or patients
referred to Karolinska University Hospital later than 14 days after the trauma. Time to flap is counted from trauma/admission at Karolinska University Hospital, or in the
secondary cases from occurrence of wounds, fistulation or exposed bone. Time to complete soft tissue coverage after flap surgery was determined as no remaining skin
wounds at clinical evaluation at follow up. Most fractures were graded as GIIIB, but there were also
severe soft tissue injuries with exposed bone without frac-
tures. The median time to flap coverage of acute extremity
trauma was 6 (0–51) days after the start of the collabor-
ation, compared to 16.5 (0–220) days before the start of
the collaboration (p = 0.283) (Figure 1). The median num-
ber of revisions/operations prior to flap coverage of acute
extremity trauma was 3 (0–7) after the start of the collab-
oration compared to 2.5 (0–9) before the start of the col-
laboration (p = 0.963) (Figure 2). The median number of
revisions/operations following flap coverage of acute years. The median age after start of the collaboration was
47 (15–86) years. Most fractures were graded as GIIIB, but there were also
severe soft tissue injuries with exposed bone without frac-
tures. Results Journal of Trauma Management & Outcomes (2015) 9:3 Page 3 of 8 Page 3 of 8 Table 1 Patients treated before start of multidisciplinary collaboration
Sex Age (y) Case
Trauma
Gustilo Flap
Time to flap (d) Time to coverage (d)
Free flaps
included
1
M
59
Distal tibia fracture
Excavator
accident
GIIIB
Latissimus dorsi
muscle
6
129
2
M
42
Proximal tibia fracture,
fibula fracture, femoral
fracture, humeral fracture
MC accident
GIIIB
Fibula osteocutaneous
flap (Medial gastro-
cnemius flap)
49 (0)
425 Failed Medial
gastrocnemius flap
3
M
48
Distal femoral fracture
Bus accident GIIIC
Latissimus dorsi
muscle
7
Amputation 2 d
after flap
Free flaps
excluded
4
M
54
Osteomyelitis calcaneal
fracture 1 year earlier
MC accident
GIIIA
Gracilis muscle
360
7
5
M
21
Osteomyelitis proximal tibia
after fracture 5 years earlier
Moped
accident
GIIIB
Latissimus dorsi
muscle
5 years
65
Pedicled flap
included
1
M
26
Multitrauma, calcaneal
fractures with skin necrosis
Fall injury
GIIIA
Sural island flap
220
21
2
M
60
Diaphyseal tibia fracture
Fall injury
GIIIB
Fasciocutaneous
rotation flap
26
52
Pedicled flap
excluded
3
M
64
Tibia condyle fracture and
abundant soft tissue injury
Outboard
motor
accident
GIIIC
Lateral gastrocnemius
muscle
26
72
4
F
30
Tibia pilon fracture,
secondary skin necrosis
after surgery
Fall injury
-
Sural island flap
38
4
5
F
54
Osteomyelitis, distal tibia
fracture 2 years earlier, skin
necrosis after secondary
surgery
Fall injury
-
Fasciocutaneous
transposition flap
21
Partial flap necrosis
Free flap 2011 Pat
15 Table 2
6
F
27
Multitrauma, proximal tibia
fracture, admitted 1 month
after trauma
Car accident
GIIIB
Medial gastrocnemius
muscle
51
57
7
M
26
Diaphyseal tibia fracture,
admitted 1.5 months after
trauma
Climbing
accident
GIIIB
Soleus muscle
51
334
Patients treated before start of multidisciplinary collaboration with a free or pedicled flap for soft tissue reconstruction after lower extremity trauma. Patients excluded in
the subgroup analysis of acute extremity trauma were patients recieving flaps due to skin necrosis/infection after fracture surgery, chronic osteomyelitis, or patients
referred to Karolinska University Hospital later than 14 days after the trauma. Time to flap is counted from trauma/admission at Karolinska University Hospital, or in the
secondary cases from occurrence of wounds, fistulation or exposed bone. Time to complete soft tissue coverage after flap surgery was determined as no remaining skin
wounds at clinical evaluation at follow up. Results The median time to flap coverage of acute extremity
trauma was 6 (0–51) days after the start of the collabor-
ation, compared to 16.5 (0–220) days before the start of
the collaboration (p = 0.283) (Figure 1). The median num-
ber of revisions/operations prior to flap coverage of acute
extremity trauma was 3 (0–7) after the start of the collab-
oration compared to 2.5 (0–9) before the start of the col-
laboration (p = 0.963) (Figure 2). The median number of
revisions/operations following flap coverage of acute In 6 out of 12 cases before the start of the collabor-
ation and 25 out of 42 cases after the start of the collab-
oration, flap treatment was due to acute extremity
trauma with soft tissue defects. The rest were skin ne-
crosis/infection after fracture surgery, chronic osteomye-
litis, or patients referred to Karolinska University Hospital
later than 14 days after the trauma. These patients were
excluded from the analysis of treatment of acute extremity
trauma to achieve a more uniform cohort for comparison. Sommar et al. Results Journal of Trauma Management & Outcomes (2015) 9:3 Page 5 of 8 Page 5 of 8 Table 2 Patients treated after start of multidisciplinary collaboration (Continued)
4
M
37
Proximal tibia fracture
Bus accident
GIIIA
Medial
gastrocnemius
muscle
51
28
5
M
31
Multitrauma, diaphyseal
tibia fracture
Car accident
GIIIB
Fasciocutaneous
rotation flap
4
16
6
M
65
Humeral fracture
Gunshot
GIIIB
Latissimus dorsi
muscle
3
35
7
F
64
Proximal tibia fracture
Run over by
a bus
GIIIA
Medial
gastrocnemius
muscle
16
65
8
F
15
Proximal tibia fracture
Moped accident GIIIB
Medial
gastrocnemius
muscle
1
21
9
F
43
Multitrauma, soft
tissue defect over
patella
Train accident
-
Medial
gastrocnemius
muscle
34
10
10
M
55
Diaphyseal tibia fracture
Bicycle accident
GIIIB
Soleus muscle
4
4
11
M
36
Radial fractures
Gunshot
GIIIC
Fasciocutaneous
transposition flap
0
15 Partial flap
necrosis
Pedicled flap
excluded
12
F
59
Osteomyelitis, ankle fracture
5.5 years earlier
Fall injury
-
Extensor digitorum
brevis muscle
5.5 years
112
13
M
55
Distal tibia fracture 7 years
earlier, secondary skin
necrosis after surgery
Fall injury
-
Extensor digitorum
brevis muscle
7 years
49
14
M
47
Tibia pilon fracture,
secondary skin necrosis after
surgery
Fall injury
-
Sural island flap
28
143 Partial flap
necrosis
15
M
55
Osteomyelitis, tibia condyle
fracture 17 months earlier
secondary skin necrosis after
surgery
MC accident
-
Medial
gastrocnemius
muscle
156
8 Amputation 8 d
after flap
16
F
71
Ulnar fracture, secondary
skin necrosis after surgery
Fall injury
-
Fasciocutaneous
rotation flap
63
18
17
F
86
Proximal tibia fracture,
secondary skin necrosis after
surgery
Fall injury
-
Medial
gastrocnemius
muscle
61
11
18
F
62
Distal tibia fracture 3 years
earlier, wound infection after
hardware removal
Fall injury
-
Soleus muscle
239
17 Partial flap
necrosis
19
M
63
Multitrauma, patellar
fracture, secondary skin
necrosis after surgery
Car accident
-
Medial
gastrochnemius
muscle
(Fasciocutaneous
rotation flap)
(103) 51
190 Partial flap
necrosis rotation
flap
20
F
67
Distal tibia fracture,
secondary skin necrosis after
surgery
Fall injury
-
Propeller flap
135
Not healed by
inclusion
21
M
76
Distal tibia fracture,
secondary skin
necrosis after plaster
Wheelchair
accident
-
Sural island flap
42
Flap failure,
Amputation 70 d. after flap
Patients treated after start of multidisciplinary collaboration with a free or pedicled flap for soft tissue reconstruction after lower extremity trauma. Results Journal of Trauma Management & Outcomes (2015) 9:3 Page 4 of 8 Page 4 of 8 Table 2 Patients treated after start of multidisciplinary collaboration
Sex Age (y) Case
Trauma
Gustilo Flap
Time to flap (d) Time to coverage (d)
Free flap
included
1
M
31
Traumatic arm amputation
Work accident
GIIIC
Palmar free flap
0
75
2
F
33
Calcaneus fracture, ankle
fracture, pelvic fracture
Run over by a
lorry
GIIIB
Latissimus dorsi
muscle
4
203
3
M
55
Diaphyseal tibia fracture
with bone defect
Gunshot
GIIIC
Fibula osteo-
cutaneous flap
4
100 Flap failure
and amputation
4
M
42
Diaphyseal tibia fracture
Car accident
GIIIC
Anterolateral
thigh flap
11
192
5
M
33
Multitrauma, diaphyseal
tibia fracture
MC accident
GIIIC
Latissimus dorsi
muscle
8
63
6
M
61
Distal tibia fracture
MC accident
GIIIC
Latissimus dorsi
muscle
3
87
7
F
46
Distal tibia/fibula fracture
Riding accident
GII
Anterolateral
thigh flap
7
31
8
F
31
Multitrauma, proximal
tibia/fibula fracture
Bicycle accident
GIIIC
Latissimus dorsi
muscle
16
148
9
M
20
Multitrauma, distal tibia
fracture
Car accident
GIIIB
Latissimus dorsi
muscle
6
23 Amputation 1 year
after flap due to pain
10
M
27
Soft tissue defect tibia
MC accident
-
Gracilis muscle
7
104
11
M
34
Distal tibia fracture
MC accident
GIIIA
Gracilis muscle
29
35
12
M
66
Ankle fracture
Work accident
GIIIA
Anterolateral
thigh flap
22
16
13
M
36
Distal tibia fracture
Car accident
GIIIA
Gracilis muscle
3
21
14
M
27
Multitrauma, tibia fracture
with bone defect
MC accident
GIIIC
Fibula osteo-
cutaneous flap
5
10
Free flap
excluded
15
F
60
Osteomyelitis, distal tibia
fracture 6 years earlier
Fall injury
-
Anterolateral
thigh flap
5.5 years
40 Pedicled flap
2006 Pat 5 Table 1
16
M
32
Infection after distal tibia
fracture, referred 2 months
after trauma
Car accident
GIIIB
Anterolateral thigh
flap (Sural island flap)
120 (105)
42 Failed Sural
island flap
17
F
53
Distal tibia fracture,
secondary skin necrosis after
surgery
Fall injury
-
Anterolateral
thigh flap
456
29
18
M
76
Trimalleolar ankle fracture,
referred 2.5 months after
trauma
Fall injury
GIIIA
Gracilis muscle
105
128
19
M
44
Osteomyelitis, tibia fracture
15 months earlier
Moped accident GIIIC
Latissimus dorsi
muscle
432
24
20
F
63
Osteomyelitis, tibia pilon
fracture 11 months earlier
Fall injury
-
Anterolateral
thigh flap
(Gracilis muscle)
295 (288)
134 Failed gracilis
muscle
Pedicled flap
included
1
M
40
Proximal tibia fracture
MC accident
GIIIB
Propeller flap
and lateral
gastrocnemius
muscle
3
457 Partial flap
necrosis
2
M
70
Soft tissue injury to elbow,
and humeral fracture
Lawn mower
accident
GIIIB
Radial forearm flap
7
23
3
M
17
Soft tissue defect over knee
Moped accident -
Medial gastrocnemius
muscle
11
9 Table 2 Patients treated after start of multidisciplinary collaboration
Sex Age (y) Case
Trauma
Gustilo Flap Table 2 Patients treated after start of multidisciplinary collaboration Time to flap (d) Time to coverage (d) Sommar et al. Patients treated after start of multidisciplinary collaboration with a free or pedicled flap for soft tissue reconstruction after lower extremity trauma. Patients excluded in the
subgroup analysis of acute extremity trauma were patients recieving flaps due to skin necrosis/infection after fracture surgery, chronic osteomyelitis, or patients referred to
Karolinska University Hospital later than 14 days after the trauma. Time to flap is counted from trauma/admission at Karolinska University Hospital, or in the secondary cases
from occurrence of wounds, fistulation or exposed bone. Time to complete soft tissue coverage after flap surgery was determined as no remaining skin wounds at clinical
evaluation at follow up. Results Six patients
before the start of the MDC and 25 after the start of MDC were
treated with either free or pedicled flaps due to acute extremity
trauma with soft tissue defects. 0.0464 Figure 3 Number of revisions/operations after flap surgery. Number
of revisions/operations after flap surgery in acute extremity trauma
patients 4 years before and after start of multidisciplinary collaboration
(MDC). Dots and squares represent individual patients. Six patients
before the start of the MDC and 25 after the start of MDC were treated
with either free or pedicled flaps due to acute extremity trauma with
soft tissue defects. Figure 3 Number of revisions/operations after flap surgery. Number
of revisions/operations after flap surgery in acute extremity trauma
patients 4 years before and after start of multidisciplinary collaboration
(MDC). Dots and squares represent individual patients. Six patients
before the start of the MDC and 25 after the start of MDC were treated
with either free or pedicled flaps due to acute extremity trauma with
soft tissue defects. Figure 1 Time to flap surgery. Days from admission with acute
extremity trauma at Karolinska University Hospital to flap surgery
4 years before and after start of multidisciplinary collaboration
(MDC). Dots and squares represent individual patients. Six patients
before the start of the MDC and 25 after the start of MDC were
treated with either free or pedicled flaps due to acute extremity
trauma with soft tissue defects. start of the collaboration (p = 0.518). The median time in
hospital after acute extremity trauma was reduced from
67.5 (16–88) days to 29 (8–121) days after the start of the
collaboration (p = 0.044) (Figure 4). All included fractures
healed. Time to fracture healing was 296 days before the
start of the collaboration and 256 days after the start of
the collaboration (p = 0.594). Only 5 out of 6 patients be-
fore and 16 out of 25 patients after the start of the extremity trauma was 1 (1–10) after the start of the col-
laboration compared to 4 (0–10) before the start of the
collaboration (p = 0.046) (Figure 3).The median time for
complete soft tissue coverage after flap surgery of acute
extremity trauma was 33 (9–203) days after the start of
the collaboration compared to 62 (2–425) days before the 0.0444
Figure 4 In-hospital stay. Results Days in hospital after admission with acute
extremity trauma and treated with flaps in patients 4 years before and
after start of multidisciplinary collaboration (MDC). Data includes all
admissions, i.e. also secondary revisions. Dots and squares represent
individual patients. Six patients before the start of MDC and 25 after
the start of MDC were treated with either free or pedicled flaps due to
acute extremity trauma with soft tissue defects. 0.0444
Figure 4 In-hospital stay. Days in hospital after admission with acute
extremity trauma and treated with flaps in patients 4 years before and
after start of multidisciplinary collaboration (MDC). Data includes all
admissions, i.e. also secondary revisions. Dots and squares represent
individual patients. Six patients before the start of MDC and 25 after
the start of MDC were treated with either free or pedicled flaps due to
acute extremity trauma with soft tissue defects. 0.0444 0.9633
Figure 2 Number of revisions/operations prior to flap surgery. Number
of revisions/operations prior to flap surgery in acute extremity trauma
patients 4 years before and after start of multidisciplinary collaboration
(MDC). Dots and squares represent individual patients. Six patients
before the start of the MDC and 25 after the start of MDC were treated
with either free or pedicled flaps due to acute extremity trauma with
soft tissue defects. 0.0444
Figure 4 In-hospital stay. Days in hospital after admission with acute
extremity trauma and treated with flaps in patients 4 years before and
after start of multidisciplinary collaboration (MDC). Data includes all
admissions, i.e. also secondary revisions. Dots and squares represent
individual patients. Six patients before the start of MDC and 25 after
the start of MDC were treated with either free or pedicled flaps due to
acute extremity trauma with soft tissue defects. 0.9633
Figure 2 Number of revisions/operations prior to flap surgery. Number
of revisions/operations prior to flap surgery in acute extremity trauma
patients 4 years before and after start of multidisciplinary collaboration
(MDC). Dots and squares represent individual patients. Six patients
before the start of the MDC and 25 after the start of MDC were treated
with either free or pedicled flaps due to acute extremity trauma with
soft tissue defects. 0.9633
Figure 2 Number of revisions/operations prior to flap surgery. Number
of revisions/operations prior to flap surgery in acute extremity trauma
patients 4 years before and after start of multidisciplinary collaboration
(MDC). Dots and squares represent individual patients. Results Patients excluded in the
subgroup analysis of acute extremity trauma were patients recieving flaps due to skin necrosis/infection after fracture surgery, chronic osteomyelitis, or patients referred to
Karolinska University Hospital later than 14 days after the trauma. Time to flap is counted from trauma/admission at Karolinska University Hospital, or in the secondary cases
from occurrence of wounds, fistulation or exposed bone. Time to complete soft tissue coverage after flap surgery was determined as no remaining skin wounds at clinical
evaluation at follow up. Table 2 Patients treated after start of multidisciplinary collaboration (Continued) Patients treated after start of multidisciplinary collaboration with a free or pedicled flap for soft tissue reconstruction after lower extremity trauma. Patients excluded in the
subgroup analysis of acute extremity trauma were patients recieving flaps due to skin necrosis/infection after fracture surgery, chronic osteomyelitis, or patients referred to
Karolinska University Hospital later than 14 days after the trauma. Time to flap is counted from trauma/admission at Karolinska University Hospital, or in the secondary cases
from occurrence of wounds, fistulation or exposed bone. Time to complete soft tissue coverage after flap surgery was determined as no remaining skin wounds at clinical
evaluation at follow up. Page 6 of 8 Sommar et al. Journal of Trauma Management & Outcomes (2015) 9:3 0.0464
Figure 3 Number of revisions/operations after flap surgery. Number
of revisions/operations after flap surgery in acute extremity trauma
patients 4 years before and after start of multidisciplinary collaboration
(MDC). Dots and squares represent individual patients. Six patients
before the start of the MDC and 25 after the start of MDC were treated
with either free or pedicled flaps due to acute extremity trauma with
soft tissue defects. 0.2823
Figure 1 Time to flap surgery. Days from admission with acute
extremity trauma at Karolinska University Hospital to flap surgery
4 years before and after start of multidisciplinary collaboration
(MDC). Dots and squares represent individual patients. Six patients
before the start of the MDC and 25 after the start of MDC were
treated with either free or pedicled flaps due to acute extremity
trauma with soft tissue defects. 0.2823
Figure 1 Time to flap surgery. Days from admission with acute
extremity trauma at Karolinska University Hospital to flap surgery
4 years before and after start of multidisciplinary collaboration
(MDC). Dots and squares represent individual patients. Discussion
S The median time to flap coverage after the start of the
collaboration was 6 days, which still is not satisfactory. Institutional factors such as available OR time and sup-
port staff may make immediate reconstruction of ex-
tremity injuries impossible. There can also be other
concomitant injury which first has to be dealt with, and
the extent of soft tissue injury is sometimes difficult to
determine early in the process. Whereas Godina [1]
clearly states the superiority of reconstruction within
3 days, other authors have shown excellent results with
late coverage [11-13]. There was no difference in out-
come or flap failure in our series when comparing sub-
groups of patients; flap coverage < 3 days vs. > 3 days, or
flap coverage < 6 days vs. > 6 days (data not shown). It is
not possible to draw overreaching conclusions from this
due to the relative small groups in comparison to the
work by Godina [1]. One key to earlier flap coverage is
to perform fewer revisions. After the start of the collabor-
ation we still had a median number of 3 operations/revi-
sions before flap coverage. Only one radical debridement
performed by the most experienced surgeons before flap
coverage has been set up as a future goal for the team. Severe extremity trauma with soft tissue defects is a dif-
ficult task for both the patient and health care provider. In order to optimize the outcome for the patients we
have improved our care of the patients. There is a grow-
ing body of evidence that these complex extremity injur-
ies are best handled by a multidisciplinary team of
experienced plastic and orthopedic surgeons [8,10]. The
present study clearly demonstrates an increase of flap re-
construction in acute trauma patients and patients with
secondary wounds following acute extremity trauma
after the start of a multidisciplinary collaboration. This
is hardly explained by natural variation, as the observa-
tion time is 8 years, and it seems unlikely that variation
could explain a 3.5-fold increase as in our series. In 2007
all high energy trauma in Stockholm County was region-
alized to Karolinska University Hospital. This has re-
sulted in a 0.75-fold increase of trauma patients. Patients
with severe extremity trauma is now primary taken to
Karolinska University Hospital. Prior to 2007 the refer-
ence policy was less strict and hence not all cases were
treated at Karolinska. Results Six patients
before the start of the MDC and 25 after the start of MDC were treated
with either free or pedicled flaps due to acute extremity trauma with
soft tissue defects. Figure 4 In-hospital stay. Days in hospital after admission with acute
extremity trauma and treated with flaps in patients 4 years before and
after start of multidisciplinary collaboration (MDC). Data includes all
admissions, i.e. also secondary revisions. Dots and squares represent
individual patients. Six patients before the start of MDC and 25 after
the start of MDC were treated with either free or pedicled flaps due to
acute extremity trauma with soft tissue defects. Figure 4 In-hospital stay. Days in hospital after admission with acute
extremity trauma and treated with flaps in patients 4 years before and
after start of multidisciplinary collaboration (MDC). Data includes all
admissions, i.e. also secondary revisions. Dots and squares represent
individual patients. Six patients before the start of MDC and 25 after
the start of MDC were treated with either free or pedicled flaps due to
acute extremity trauma with soft tissue defects. Page 7 of 8 Page 7 of 8 Sommar et al. Journal of Trauma Management & Outcomes (2015) 9:3 Gustilo IIIA due to crush wounds on the heels. During
the following days he developed skin necrosis on the
right heal. Due to a more conservative attitude towards
small wounds in extremity trauma before the start of
MDC, there was an attempt of secondary healing. Today, this patient would probably have received a free
flap in the near time period of the trauma. To reduce
the effects of this “outlier” statistically we have chosen to
use a nonparametric method, and present median values. This patient was not an outlier in comparisons other
than time to flap. collaboration were possible to follow to fracture healing. One patient was amputated after flap treatment before the
start of the collaboration. After the start of the collabor-
ation, four patients had soft tissue defects with exposed
bone without fractures, one had a primary traumatic am-
putation, two were amputated prior to flap treatment and
one patient was not healed at the time of inclusion in the
study. One of the patients healed, but was amputated one
year after flap coverage due to pain. Discussion
S Journal of Trauma Management & Outcomes (2015) 9:3 are in concordance, showing favorable amputation rate
and a more efficient planning of surgical workload [10]. 5. Meling T, Harboe K, Soreide K. Incidence of traumatic long-bone fractures
requiring in-hospital management: a prospective age- and gender-specific
analysis of 4890 fractures. Injury. 2009;40:1212–9. 6. Weiss RJ, Montgomery SM, Ehlin A, Al Dabbagh Z, Stark A, Jansson KA. Decreasing incidence of tibial shaft fractures between 1998 and 2004:
information based on 10,627 Swedish inpatients. Acta Orthop. 2008;79:526–33. 7. Heitmann C, Levin LS. The orthoplastic approach for management of the
severely traumatized foot and ankle. J Trauma. 2003;54:379–90. 8. Naique SB, Pearse M, Nanchahal J. Management of severe open tibial
fractures: the need for combined orthopaedic and plastic surgical treatment
in specialist centres. J Bone Joint Surg. 2006;88:351–7. 9. Gustilo RB, Mendoza RM, Williams DN. Problems in the management of
type III (severe) open fractures: a new classification of type III open fractures. J Trauma. 1984;24:742–6. 10. Clover AJ, Rannan-Eliya S, Saeed W, Buxton R, Majumder S, Hettiaratchy SP,
et al. Experience of an orthoplastic limb salvage team after the Haiti earthquake:
analysis of caseload and early outcomes. Plast Reconstr Surg. 2011;127:2373–80. 11. Karanas YL, Nigriny J, Chang J. The timing of microsurgical reconstruction in
lower extremity trauma. Microsurgery. 2008;28:632–4. 12. Hill JB, Vogel JE, Sexton KW, Guillamondegui OD, Corral GA, Shack RB. Re-evaluating the paradigm of early free flap coverage in lower extremity
trauma. Microsurgery. 2013;33:9–13. 13. Francel TJ, Vander Kolk CA, Hoopes JE, Manson PN, Yaremchuk MJ. Microvascular soft-tissue transplantation for reconstruction of acute open
tibial fractures: timing of coverage and long-term functional results. Plast
Reconstr Surg. 1992;89:478–87. discussion 488–479. 14. Court-Brown CM, Rimmer S, Prakash U, McQueen MM. The epidemiology of
open long bone fractures. Injury. 1998;29:529–34. 5. Meling T, Harboe K, Soreide K. Incidence of traumatic long-bone fractures
requiring in-hospital management: a prospective age- and gender-specific
analysis of 4890 fractures. Injury. 2009;40:1212–9. 6. 6. Weiss RJ, Montgomery SM, Ehlin A, Al Dabbagh Z, Stark A, Jansson KA. Decreasing incidence of tibial shaft fractures between 1998 and 2004:
information based on 10,627 Swedish inpatients. Acta Orthop. 2008;79:526–3 Conclusion To conclude, the formalized collaboration has led to an
increased number of flap coverage in extremity trauma
patients. The acute cases have a shorter in-hospital stay,
and fewer postoperative revisions after the start of the
collaboration. However, if this has resulted in a decreased
number of amputations and improved long-term outcome
needs to be further analyzed in a larger cohort. Our col-
laboration has also led to awareness among our ortho-
pedic colleagues to establish an early contact with a plastic
surgeon when a patient has an open fracture with soft
tissue damage. The goal is that the plastic surgeon should
be contacted from the emergency room in order to par-
ticipate at the first operative revision to be able to plan for
further surgery. Routines are also created for coordination
of operative resources, and postoperative flap surveillance. Finally, this formal collaboration gives us better possibil-
ities for quality control and evaluation. Our experience
leads us to recommend other centers to establish a similar
set-up for early multidisciplinary treatment of this patient
group. p
p
7. Heitmann C, Levin LS. The orthoplastic approach for management of the
severely traumatized foot and ankle. J Trauma. 2003;54:379–90. 8. Naique SB, Pearse M, Nanchahal J. Management of severe open tibial
fractures: the need for combined orthopaedic and plastic surgical treatment
in specialist centres. J Bone Joint Surg. 2006;88:351–7. 8. Naique SB, Pearse M, Nanchahal J. Management of severe open tibial
fractures: the need for combined orthopaedic and plastic surgical treatment
in specialist centres. J Bone Joint Surg. 2006;88:351–7. 9. Gustilo RB, Mendoza RM, Williams DN. Problems in the management of
type III (severe) open fractures: a new classification of type III open fractures. J Trauma. 1984;24:742–6. 12. Hill JB, Vogel JE, Sexton KW, Guillamondegui OD, Corral GA, Shack RB. Re-evaluating the paradigm of early free flap coverage in lower extremity
trauma. Microsurgery. 2013;33:9–13. 13. Francel TJ, Vander Kolk CA, Hoopes JE, Manson PN, Yaremchuk MJ. Microvascular soft-tissue transplantation for reconstruction of acute open
tibial fractures: timing of coverage and long-term functional results. Plast
Reconstr Surg. 1992;89:478–87. discussion 488–479. g
14. Court-Brown CM, Rimmer S, Prakash U, McQueen MM. The epidemiology of
open long bone fractures. Injury. 1998;29:529–34. Competing interests
h
h
d
l
h Competing interests
The authors declare that they have no competing interests. Authors’ contributions PS: Surgery, collection of data and writing of manuscript. YG: Collection of data
and writing of manuscript. MH: Surgery, review of patient data and writing of
manuscript. ADS: Surgery and writing of manuscript. KL: Surgery, review of
patient data and writing of manuscript. KÅJ: Surgery and writing of manuscript. All authors read and approved the final manuscript. Discussion
S The severity of orthopedic trauma
has not changed during the years. Occasionally patients
with open fractures are still treated in other hospitals in
Stockholm, but they are usually referred to Karolinska
after external fixation and primary revision. We have
also seen an increase in both acute and secondary cases
referred from other hospitals in the region as the collab-
oration has become known. The regionalization only
cannot explain a 3.5-fold increase of flaps. We believe
that the main reason is an increased awareness among
our orthopedic surgeons to refer extremity trauma pa-
tients for plastic surgical consultation. The collaboration
has also resulted in a more rapid communication, and
quicker decisions. The introduction of a collaboration had a significant
impact on the in hospital stay. The median time in hos-
pital after acute extremity trauma with soft tissue defects
decreased from 68.5 days to 29 days. In the 25 patients
after the start of the collaboration, this would corres-
pond to 988 hospital days, and a total cost reduction of
1.170 000 USD. In times where cost-analysis is crucial in
public health care, this reduction which corresponds to
70% of one hospital bed/year is obviously beneficial. The
reduction of hospital stay may be explained by the de-
crease in revisions/operations after flap coverage, which
may be related to a shorter time to coverage. The major limitation in this report is the small sample
size. Since the patient group treated before start of the
collaboration is small, the sub analysis of acute extremity
trauma patients cannot provide accurate statistical com-
parison, and the reader should interpret the significance
between groups with care. One of the acute trauma pa-
tients included before start of the MDC was not covered
before 220 days after trauma. This patient had bilateral
calcaneal fractures after a fall injury, classified as a The incidence of open tibia fractures in the Swedish
population is 2.3/105/year [6], which corresponds to about
220 patients per year, of which 27% [5] have a Gustilo
Type III fracture. Because of the low and declining inci-
dence, centralization of these difficult fractures has been
suggested [8,14]. We believe that these fractures should be
dealt with in a center with a close collaboration between
orthopedic and plastic surgeons. The experience after the
Haiti earthquake with an orthoplastic limb salvage team Page 8 of 8 Page 8 of 8 Sommar et al. Author details
1 1Department of Molecular Medicine and Surgery, Section of Plastic Surgery,
Karolinska Institutet and Karolinska University Hospital Stockholm, Stockholm,
Sweden. 2Department of Orthopedic Surgery Västerås Hospital and
Department of Molecular Medicine and Surgery, Karolinska Institutet
Stockholm, Stockholm, Sweden. 3Department of Molecular Medicine and
Surgery, Section of Orthopedics and Sports Medicine, Karolinska Institutet
and Karolinska University Hospital Stockholm, Stockholm, Sweden. Submit your next manuscript to BioMed Central
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Submit your manuscript at
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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
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and take full advantage of:
• Convenient online submission
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and take full advantage of: Received: 29 May 2014 Accepted: 13 March 2015 • Convenient online submission 12.
Hill JB, Vogel JE, Sexton KW, Guillamondegui OD, Corral GA, Shack RB.
Re-evaluating the paradigm of early free flap coverage in lower extremity
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Karanas YL, Nigriny J, Chang J. The timing of microsurgical reconstruction in
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Hill JB, Vogel JE, Sexton KW, Guillamondegui OD, Corral GA, Shack RB.
Re-evaluating the paradigm of early free flap coverage in lower extremity
trauma. Microsurgery. 2013;33:9–13.
13.
Francel TJ, Vander Kolk CA, Hoopes JE, Manson PN, Yaremchuk MJ.
Microvascular soft-tissue transplantation for reconstruction of acute open
tibial fractures: timing of coverage and long-term functional results. Plast
Reconstr Surg. 1992;89:478–87. discussion 488–479.
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Court-Brown CM, Rimmer S, Prakash U, McQueen MM. The epidemiology of
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extremities. Plast Reconstr Surg. 1986;78:285–92. g
2. Tielinen L, Lindahl JE, Tukiainen EJ. Acute unreamed intramedullary nailing
and soft tissue reconstruction with muscle flaps for the treatment of severe
open tibial shaft fractures. Injury. 2007;38:906–12. 3. Gopal S, Majumder S, Batchelor AG, Knight SL, De Boer P, Smith RM. Fix and
flap: the radical orthopaedic and plastic treatment of severe open fractures
of the tibia. J Bone Joint Surg. 2000;82:959–66. 4. Levin LS. Early versus delayed closure of open fractures. Injury. 2007;38:896–9.
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The Paris System for reporting urinary cytology improves the negative predictive value of high-grade urothelial carcinoma
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The Paris System for Reporting Urinary Cytology
Improves the Negative Predictive Value of High-
grade Urothelial Carcinoma The Paris System for Reporting Urinary Cytology
Improves the Negative Predictive Value of High-
grade Urothelial Carcinoma
Mari Yamasaki
Department of Urology, Faculty of Medicine, Kagawa University
Rikiya Taoka
(
taoka.rikiya@kagawa-u.ac.jp
)
Department of Urology, Faculty of Medicine, Kagawa University
Kazuya Katakura
Department of Diagnostic Pathology, University Hospital, Faculty of Medicine, Kagawa University
Toru Matsunaga
Department of Diagnostic Pathology, University Hospital, Faculty of Medicine, Kagawa University
Naoya Kani
Department of Urology, Faculty of Medicine, Kagawa University
Tomoko Honda
Department of Urology, Faculty of Medicine, Kagawa University
Satoshi Harada
Department of Urology, Faculty of Medicine, Kagawa University
Yoichiro Tohi
Department of Urology, Faculty of Medicine, Kagawa University
Yuki Matsuoka
Department of Urology, Faculty of Medicine, Kagawa University
Takuma Kato
Department of Urology, Faculty of Medicine, Kagawa University
Homare Okazoe
Department of Urology, Faculty of Medicine, Kagawa University
Hiroyuki Tsunemori
Department of Urology, Faculty of Medicine, Kagawa University
Nobufumi Ueda
Department of Urology, Faculty of Medicine, Kagawa University
Reiji Haba
Department of Diagnostic Pathology, University Hospital, Faculty of Medicine, Kagawa University
Mikio Sugimoto
Department of Urology, Faculty of Medicine, Kagawa University Mari Yamasaki Page 1/11 Research Article Keywords: urothelial carcinoma, high-grade urothelial carcinoma, urine cytology, The Paris System for
Reporting Urinary Cytology, negative predictive value
Posted Date: February 2nd, 2022
DOI: https://doi.org/10.21203/rs.3.rs-1234637/v1
License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License Keywords: urothelial carcinoma, high-grade urothelial carcinoma, urine cytology, The Paris System for
Reporting Urinary Cytology, negative predictive value
Posted Date: February 2nd, 2022
DOI: https://doi.org/10.21203/rs.3.rs-1234637/v1
License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License Keywords: urothelial carcinoma, high-grade urothelial carcinoma, urine cytology, The Paris System for
Reporting Urinary Cytology, negative predictive value Posted Date: February 2nd, 2022 DOI: https://doi.org/10.21203/rs.3.rs-1234637/v1 License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License Version of Record: A version of this preprint was published at BMC Urology on April 5th, 2022. See the
published version at https://doi.org/10.1186/s12894-022-01005-8. Page 2/11 Abstract Background: The Paris System (TPS) for reporting urinary cytology differs from conventional systems
(CS) in that it focuses on the diagnosis of high-grade urothelial carcinoma (HGUC). This study
investigated the impact of TPS implementation on the diagnostic accuracy of HGUC by comparing it with
CS. Methods: A total of 649 patients who underwent transurethral resection of bladder tumor (TURBT)
between January 2009 and December 2020 were included in this study. Our institution adopted TPS to
report urinary cytology in February 2020. The diagnostic accuracy of HGUC in preoperative urinary
cytology was compared with the presence or absence of HGUC in resected specimens of TURBT before
and after TPS implementation. Results: After implementing TPS in urinary cytology, 89 patients were reviewed and compared with 560
patients whose urinary cytology was diagnosed by CS. TPS and CS for detecting HGUC had 56.0% and
58.2% sensitivity, 97.8% and 91.2% specificity, and 93.3% and 87.9% positive predictive values,
respectively. There were no significant differences between TPS and CS in terms of sensitivity, specificity,
and positive predictive value for HGUC (P=0.83, 0.21, 1.00). On the other hand, the negative predictive
value for HGUC using TPS was 80.0%, which was significantly higher than that of CS (66.4%, P=0.04) The
multivariate logistic regression analysis indicated that not using TPS was one of the independent
predictive factors associated with false-negative results for HGUC (odds ratio, 2.26; 95% confidence
interval, 1.08–4.77; P=0.03). Results: After implementing TPS in urinary cytology, 89 patients were reviewed and compared with 560
patients whose urinary cytology was diagnosed by CS. TPS and CS for detecting HGUC had 56.0% and
58.2% sensitivity, 97.8% and 91.2% specificity, and 93.3% and 87.9% positive predictive values, Conclusion: In instances where urinary cytology is reported as negative for HGUC by TPS, there is a low
probability of HGUC, indicating that TPS has a potential diagnostic benefit. Study population and design From January 2009 to December 2020, 755 patients underwent TURBT at Kagawa University Hospital. Of
these, 21 patients who were pathologically diagnosed with non-urothelial malignancies and 85 patients
whose urinary cytology had not been evaluated before TURBT were excluded. A total of 649 patients were
included in the study. Our institution adopted TPS to report urinary cytology in February 2020. Before that,
we used CS using the Papanicolaou-stained urinary cytology system. The included patients were divided
into two groups of 89 patients and 560 patients each, who used TPS or CS to report urinary cytology,
respectively. Urine specimens were used as voided urine samples on the day before TURBT. The CS has five classes:
class 1, inadequate or absence of suspicious cells; class 2, atypical cells but not malignant; class 3, cells
suspected of being malignant but not confidently; class 4, suspected malignant cells; and class 5,
malignant cells. We defined the criteria that positive urinary cytology was greater than class 4, and
negative urinary cytology was classified as class 1 or 2 in the CS. On the other hand, TPS requires four
categories for reporting urinary cytology: negative for HGUC (NHGUC), atypical urothelial cell, suspicious
for HGUC (SHGUC), and HGUC. This study defined SHGUC and HGUC as positive urinary cytology and
NHGUC as negative urinary cytology in TPS. We retrospectively compared the positive or negative results
of preoperative urinary cytology in the presence or absence of HGUC in resected specimens of TURBT. Background Based on the latest Global Cancer Incidence, Mortality And Prevalence data, bladder cancer (BC) is the
10th most common form of cancer worldwide, with an estimated 573,000 new cases in 2020 [1]. Approximately 75% of newly diagnosed BC cases are non-muscle-invasive BC (NMIBC) [2]. In clinical
practice, NMIBC is treated with transurethral resection of bladder tumor (TURBT) followed by intravesical
therapy, depending on the risk of recurrence and progression [3]. However, NMIBC recurs in approximately
50% of the cases [2]. Therefore, patients with NMIBC need surveillance using regular cystoscopy and
urinary cytology for at least 5 years after the initial treatment [3]. Some histological types of BC contain pathologically different properties with varying clinical courses. In
2004, the World Health Organization/ International Society of Urological Pathology consensus
classification system for papillary urothelial neoplasms of the urinary bladder was published [4]. The
system classifies urothelial cancer (UC) into two main types: low-grade UC (LGUC) and high-grade UC
(HGUC) [5]. Clinically, although LGUC has a low malignant potential, HGUC has a risk of disease Page 3/11 Page 3/11 progression and metastases, followed by death [6, 7]. Therefore, HGUC cannot be ignored in patients with
BC. progression and metastases, followed by death [6, 7]. Therefore, HGUC cannot be ignored in patients with
BC. Urinary cytology is a convenient screening tool for UC [3, 8]. However, the terminology for reporting urinary
cytology has not been standardized. The Paris System (TPS) for reporting urinary cytology is a recently
established international system for diagnosing urinary tract cytology specimens [9]. TPS differs from
conventional systems (CS) in that it focuses on the diagnosis of HGUC. Effective detection of HGUC,
which has the potential to progress and metastasize, is crucial for patients with suspected HGUC of the
bladder. Therefore, TPS, which focuses on the diagnosis of HGUC, may benefit patients more than CS [10,
11]. However, there are few reports on the use TPS for HGUC detection. This study, therefore, aimed to
reveal the impact of TPS implementation for urinary cytology diagnosis on the diagnostic accuracy of
HGUC in real clinical situations by comparing it with CS. Data collection In addition to reports of histopathological diagnosis of the resected specimen and preoperative urinary
cytology, age, sex, prior recurrence status, tumor appearance, tumor number, largest tumor diameter,
tumor grade, pathological T-stage, and presence of carcinoma in situ (CIS) were retrospectively
investigated. This study was conducted according to the principles outlined in the Declaration of Helsinki Page 4/11 Page 4/11 (as revised in Fortaleza, Brazil, October 2013), and these surveys were performed with the approval of the
Ethics Committee of Kagawa University (permission number: 2020-070). The need for informed consent
was waived by the Ethics Committee, Faculty of Medicine, Kagawa University because of the
retrospective nature of this study. (as revised in Fortaleza, Brazil, October 2013), and these surveys were performed with the approval of the
Ethics Committee of Kagawa University (permission number: 2020-070). The need for informed consent
was waived by the Ethics Committee, Faculty of Medicine, Kagawa University because of the
retrospective nature of this study. Statistical analysis The diagnostic accuracy of HGUC was calculated as the sensitivity, specificity, negative predictive value
(NPV), and positive predictive value (PPV). The Mann–Whitney U test or Fisher’s exact test was used to
compare the clinical characteristics and diagnostic accuracy index between TPS and CS groups. Multivariate analysis with a logistic regression model was performed to determine an independent
predictive factor for NPV errors. The number of variables incorporated into the multivariate analysis was
determined based on the number of events. All statistical analyses were performed using SPSS for
Windows version 12 (SPSS Inc., Chicago, IL, USA). Statistical significance was set at P<0.05. Table 2. Summary of cytological and histopathological diagnoses Patient characteristics Data from a total of 89 patients diagnosed with BC after implementing TPS were reviewed and compared
with 560 patients whose urinary cytology was diagnosed by CS. Table 1 shows the patients’
characteristics in TPS and CS groups. The proportion of primary BC was higher in the TPS group than in
the CS group (76.4% vs. 60.5%, P<0.01). In addition, the proportion of TURBT history within 90 days,
including the second TURBT in the TPS group, was higher than that of the CS group (30.3% vs. 14.6%,
P<0.01). Furthermore, the TPS group had a larger tumor size than the CS group (P=0.05). By contrast,
there were no significant differences in age, sex, tumor appearance, tumor number, presence of high-
grade tumor, pathological tumor stage, and presence of CIS between the two groups. Table 1. Patient characteristics Page 5/11 Page 5/11 Page 5/11 Page 5/11 Urinary cytology and histopathological diagnosis Urinary cytology and histopathological diagnosis Urinary cytology and histopathological diagnosis Table 2 shows a summary of the urinary cytology and histopathological diagnoses for each TPS and CS
group. The proportion of patients who were diagnosed with SHGUC and HGUC in the TPS group was
16.9%, which was significantly lower than that of patients with positive urinary cytology in the CS group
(26.6%, P=0.04). Of 560 patients in the CS group, 313 (55.9%) were histologically diagnosed with HGUC in
the resected specimens. Of those, 94 (30.0%) patients who were diagnosed with negative urinary cytology
were false-negative, and 131 (41.9%) patients with positive urinary cytology were truly positive. In
contrast, of 89 patients in the TPS group, 42 (47.2%) were histologically diagnosed with HGUC. Of these,
11 (26.2%) patients whose urinary cytology was diagnosed as NHGUC by TPS had false-negative results,
and 14 (33.3%) patients with positive urinary cytology were truly positive. Page 6/11 Page 6/11 Sensitivity, specificity, PPV, and NPV of urine cytology for HGUC Table 3 summarizes the detection of HGUC in TPS and CS groups. There were no significant differences
between TPS and CS groups in terms of sensitivity, specificity, and PPV for HGUC. Contrastingly, the TPS
group had a significantly higher NPV for HGUC than the CS group (80.0% vs. 66.4%, P=0.04). A total of
105 patients had false-negative urinary cytology results for HGUC. Table 3. The detection ability of high-grade urothelial carcinoma able 3. Discussion TPS was created as an international form to standardize the reporting of urinary cytology [9]. TPS differs
from CS in that it focuses on the diagnosis of HGUC. However, there are few reports on the ability of TPS
to detect HGUC. This study compared TPS and CS with regards to detecting HGUC in urine specimens
before tumor resection and in resected tumor tissues. The results indicated that TPS was superior to CS
in terms of its NPV for HGUC. HGUC is well known to be associated with a worse overall survival. Therefore, a high NPV for HGUC using TPS is clinically important for patients with suspected BC. Urinary cytology is typically used to screen for UC in two clinical situations: when new-onset UC is
suspected, such as in patients with unexplained hematuria, and during surveillance after BC treatment
[12]. In particular, clinical guidelines suggest that cystoscopy is needed for at least 5 years for patients
with a history of BC because half of the patients with BC will have an intravesical recurrence [2, 3]. However, cystoscopy is associated with physical pain and mental burden [13] which some patients
experience during urinary tract infections [14]. If the high NPV of TPS can deny the presence of HGUC,
and reduce additional examinations such as cystoscopy, it may improve patient quality of life and cost-
effectiveness. TPS defines standardized cytomorphologic and numerical criteria for its diagnostic categories, which
stratify a patient’s risk for HGUC [9]. In other words, strict definitions of TPS may reduce the sensitivity of
HGUC. In this study, 16.9% of patients were diagnosed with SHGUC and HGUC in the TPS group, which
was significantly lower than that of patients with positive urinary cytology in the CS group. However, there
was no difference in the sensitivity for HGUC between the TPS and CS groups. Recent reports
demonstrated that the sensitivity for HGUC using TPS ranged from 83.3–87.1% [11, 15, 16]. In addition,
the NPV was between 81.4% and 86.4%, which was similar to the value obtained in this study (80.0%). These data demonstrate that TPS can reduce the rate of unnecessary indeterminate diagnoses while
maintaining excellent sensitivity for identifying HGUC. Multivariable logistic regression analysis indicated that TPS may reduce false-negative results for HGUC. At the same time, recurrent tumors also reduced false-negatives for HGUC. Lee et al. analyzed the causes
of false-negative cytology in HGUC cases [17]. Patient characteristics The detection ability of high-grade urothelial carcinoma y
g
g Multivariate logistic regression analysis, which included prior recurrence status, prior TURBT within 90
days, and intraoperative factors such as tumor appearance, tumor number, and largest tumor diameter,
revealed that not using TPS was an independent predictive factor associated with false-negative results
for HGUC (odds ratio, 2.26; 95% confidence interval, 1.08–4.77; P=0.03; Table 4). Table 4. Multivariate analysis for the prediction of false-negatives for high-grade urothelial carcinoma Page 7/11 Page 7/11 Conclusions Our study revealed the impact of TPS implementation on the diagnostic accuracy of HGUC in real clinical
situations by comparing it with CS. As a result, this study clearly indicates that, in instances where urinary
cytology is reported as NHGUC by TPS, there is a low probability of HGUC. These results support the
implementation of the TPS in clinical practice. Discussion The possible explanations were the overestimation of the
grade by the pathologist and inflammation of the bladder. In this study, inflammation due to prior Page 8/11 Page 8/11 transurethral surgery and subsequent intravesical instillation therapy may have affected the diagnosis of
urinary cytology. However, solid tumors were found to be at risk of false-negatives for HGUC. The
relationship between solid tumors and false-negatives for HGUC may have been influenced by the smaller
area of the tumor surface compared to papillary tumors. Although a certain number of false negatives for
HGUC are expected, serial urinary cytology may decrease false-negative results and improve sensitivity
for detection [18]. Therefore, in clinical practice, TPS should be used for urinary cytology because it yields
fewer false-negative results than CS. One of this study’s limitations is that cytological findings were interpreted by a single pathologist. Of
course, the accuracy of the diagnosis has been re-evaluated by another pathologist. However, differences
in the diagnosis of urinary cytopathology between pathologists have been reported [19]. Therefore, further
studies addressing interobserver variability should be conducted. In addition, urine collection methods,
urine collection volumes, and urinary cell counts can affect the diagnostic quality of urinary cytology [9]. Since there was no information on urine specimens in this study, the effect of urine specimens on urinary
cytology could not be investigated. The study’s retrospective nature was an additional limitation. However, to the best of our knowledge, this is the first study to consider various factors affecting the
quality of urinary cytology, and demonstrate that the implementation of TPS in clinical practice may
improve the NPV for HGUC. One of this study’s limitations is that cytological findings were interpreted by a single pathologist. Of
course, the accuracy of the diagnosis has been re-evaluated by another pathologist. However, differences
in the diagnosis of urinary cytopathology between pathologists have been reported [19]. Therefore, further
studies addressing interobserver variability should be conducted. In addition, urine collection methods,
urine collection volumes, and urinary cell counts can affect the diagnostic quality of urinary cytology [9]. Since there was no information on urine specimens in this study, the effect of urine specimens on urinary
cytology could not be investigated. The study’s retrospective nature was an additional limitation. List Of Abbreviations CIS, carcinoma in situ; UC, urothelial carcinoma; TPS, the Paris System; LGUC, low-grade urothelial
carcinoma; HGUC, high-grade urothelial carcinoma; CS, conventional systems; NPV, negative predictive
value; PPV, positive predictive value; TURBT, transurethral resection of bladder tumor; SHGUC, suspicious
for high-grade urothelial carcinoma; NHGUC, negative for high-grade urothelial carcinoma; BC, bladder
cancer; NMIBC, non-muscle-invasive bladder cancer Consent for publication Not applicable. Authors’ contributions All the authors participated in the study design. MY and RT interpreted the data, performed statistical
analyses, and wrote the manuscript. KK and TM contributed to the implementation of TPS and
pathological diagnosis. RH and MS supported the original concept and design of this study. NK, TH, SH,
YT, YM, TK, HO, HT, and NU critically revised the manuscript. All authors read and approved the final
manuscript. Acknowledgments The authors would like to thank Editage (www.editage.jp) for English language editing. Funding No funding or grants were provided for this study. Availability of data and materials The dataset generated and/or analyzed during the current study is not publicly available due to
identifiable patient information but is available from the corresponding author upon reasonable request. Ethics approval and consent to participate This study was conducted according to the principles outlined in the Declaration of Helsinki (as revised in
Fortaleza, Brazil, October 2013), and these surveys were performed with the approval of the Ethics
Committee of Kagawa University (permission number: 2020-070). The need for informed consent was Page 9/11 Page 9/11 waived by the Ethics Committee, Faculty of Medicine, Kagawa University because of the retrospective
nature of this study. waived by the Ethics Committee, Faculty of Medicine, Kagawa University because of the retrospective
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Cytopathol. 2016;124:174–80. 19. Olson MT, Boonyaarunnate T, Aragon Han P, Umbricht CB, Ali SZ, Zeiger MA. A tertiary center's
experience with second review of 3885 thyroid cytopathology specimens. References J Clin Endocrinol Metab. 2013;98:1450–7. Page 11/11
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https://openalex.org/W4287547786
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https://zenodo.org/records/4395793/files/7_semanTIK%20Vol%206%20no%202%20Hal43_50_handrizal.pdf
|
Indonesian
| null |
REVIEW EASEUS DATA RECOVERY WIZARD UNTUK DIGITAL FORENSIK
|
Zenodo (CERN European Organization for Nuclear Research)
| 2,020
|
cc-by
| 3,707
|
semanTIK, Vol.6, No.2, Jul-Des 2020, pp. 43-50
ISSN: 2502-8928 (Online)
DOI : 10.5281/zenodo.4395793
Terakreditasi “Peringkat 4 (Sinta 4)” oleh Kemenristekdikti
Website : http://ojs.uho.ac.id/index.php/semantik
◼
43 semanTIK, Vol.6, No.2, Jul-Des 2020, pp. 43-50
ISSN: 2502-8928 (Online)
DOI : 10.5281/zenodo.4395793
Terakreditasi “Peringkat 4 (Sinta 4)” oleh Kemenristekdikti
Website : http://ojs.uho.ac.id/index.php/semantik
◼
43 semanTIK, Vol.6, No.2, Jul-Des 2020, pp. 43-50
ISSN: 2502-8928 (Online)
DOI : 10.5281/zenodo.4395793
Terakreditasi “Peringkat 4 (Sinta 4)” oleh Kemenristekdikti
Website : http://ojs.uho.ac.id/index.php/semantik
◼
43 semanTIK, Vol.6, No.2, Jul-Des 2020, pp. 43-50
ISSN: 2502-8928 (Online)
DOI : 10.5281/zenodo.4395793
Terakreditasi “Peringkat 4 (Sinta 4)” oleh Kemenristekdikti
Website : http://ojs.uho.ac.id/index.php/semantik
◼
43 ◼
43 43 Abstract This paper presents a review of an application called EaseUS Data Recovery Wizard used for
recovering deleted data. This research was conducted to see the ability of this application in
recovering deleted data on a USB flash drive and using the National Institute of Standard and
Technology (NIST) method. The results of testing indicate that this application can work well in terms
of finding data that has been deleted but is less reliable in recovering data that has been deleted. Test
results on ten data of which only four (40%) data were recovered. Keywords: Data, Recovery, Forensic, EaseUS Abstrak Makalah ini menyajikan review sebuah aplikasi yang bernama EaseUS Data Recovery Wizard
yang digunakan untuk pemulihan data yang sudah dihapus. Penelitian ini dilakukan untuk melihat
kemampuan aplikasi ini dalam pemulihan data yang dihapus pada sebuah USB flash drive dan
menggunakan metode National Institute of Standard and Technology (NIST). Hasil dari pengujian
menunjukkan bahwa aplikasi ini dapat berkerja dengan baik dalam hal menemukan semua data yang
sudah dihapus, akan tetapi kurang handal dalam memulihkan data yang sudah dihapus tersebut. Hasil
pengujian terhadap sepuluh data yang hanya empat(40%) data yang berhasil di pulihkan. Kata kunci: Data, Recovery, Forensik, EaseUS y
pp
REVIEW EASEUS DATA RECOVERY WIZARD
UNTUK DIGITAL FORENSIK Handrizal
Program Studi S1 Ilmu Komputer Fakultas Ilmu Komputer dan Teknologi Informasi
Universitas Sumatera Utara
e-mail: Handrizal@usu.ac.id Keywords: Data, Recovery, Forensic, EaseUS 1.2. Digital Forensik Menurut Lazaridis[3], Digital forensik
adalah ilmu yang membahas penemuan,
validasi dan interpretasi bukti digital yang
ditemukan pada perangkat elektronik yang
sesuai dengan kejatahan komputer. Sedangkan
menurut Sulianta[4], Digital forensik adalah
pengaplikasian
ilmu
pengetahuan
dalam
mengidentifikasi, mengumpulkan, menguji,
dan
menganalisis
data,
kemudian
menghadirkan
informasi
yang
dapat
diandalkan[5]. 2.1 Data yang digunakan
Dalam
penelitian
ini
penulis
menggunakan data milik penulis sendiri,
data tersebut terdiri file umum (pdf, docx,
ppt dan lain-lain), seperti terlihat pada
Tabel 1. 2.1 Data yang digunakan
Dalam
penelitian
ini
penulis
menggunakan data milik penulis sendiri,
data tersebut terdiri file umum (pdf, docx,
ppt dan lain-lain), seperti terlihat pada
Tabel 1. Tabel 1. Data yang digunakan
No. Nama
File
Ekstensi
File
Ukuran
File (kb)
1. abc
.docx
13
2. abcd
.doc
22
3. abcde
.pdf
81
4. abcdef
.html
21
5. abcdefg
.xml
47
6. abcdefgh
.pptx
34
7. abcdefghi
.ppt
100
8. abcdefghij
.xls
9
9. abcdefghijk
.xps
87
10. abcdefghijkl
.txt
1 Tabel 1. Data yang digunakan 1.3 EaseUS Data Recovery Wizard
EaseUS
Data
Recovery
Wizard
merupakan software recovery file gratis untuk
sistem operasi Windows dan Mac yang
digunakan
untuk
memulihkan
file
yang
dihapus oleh pengguna dari hard drive internal
dan ekternal, serta perangkat USB, kartu
memori,
pemutar
musik
dan
perangkat
sejenisnya[6]. 1.1 Data Recovery Menurut Juju[1], Data recovery adalah
proses penyelamatan data yang rusak, tidak
bisa diakses, atau terformat dari media
penyimpanan. Karena fungsinya adalah untuk
menggembalikan data yang hilang maka
proses data recovery ini bisa digunakan dalam
konteks komputer forensik atau untuk mata-
mata[2]. c)
Analysis
Tahap ini adalah proses menganalisis dan
mengevaluasi
kembali
data
yang
ditemukan dari hasil examination. c)
Analysis
Tahap ini adalah proses menganalisis dan
mengevaluasi
kembali
data
yang
ditemukan dari hasil examination. d)
Reporting
Tahap
reporting
merupakan
proses
pelaporan hasil analisis dari data yang
ditemukan. d)
Reporting
Tahap
reporting
merupakan
proses
pelaporan hasil analisis dari data yang
ditemukan. 1. PENDAHULUAN sasarannya adalah akses ilegal (mengelabui
kontrol akses), malware dan serangan DoS. Contoh
kejahatan
cybercrime
di
mana
komputer sebagai tempatnya adalah penipuan
identitas. Sedangkan
contoh
kejahatan
tradisional dengan komputer sebagai alatnya
adalah pornografi anak dan judi online. S alah satu dampak negatif yang timbulkan
dari
kemajuan
teknologi
adalah
penyalahgunaan
teknologi
tersebut
untuk
kejahatan. Kejahatan yang berkaitan dengan
penggunaan komputer pada media tersebut
biasanya dikenal dengan nama cybercrime. Istilah ini juga digunakan untuk kegiatan
kejahatan tradisional di mana komputer atau
jaringan
komputer
digunakan
untuk
mempermudah atau memungkinkan kejahatan
itu terjadi. Contoh kejahatan cybercrime di
mana komputer sebagai alat adalah spamming
dan kejahatan terhadap hak cipta serta
kekayaan
intelektual. Contoh
kejahatan
cybercrime
di
mana
komputer
sebagai
S Perilaku
cybercrime
sudah
tentu
sangat merugikan korbannya dan bertentangan
dengan hukum. Untuk memberi hukuman
kepada pelaku cybercrime ini pihak berwajib
biasanya akan mencari beberapa alat bukti. Salah satu alat bukti adalah komputer yang
digunakan oleh pelaku. Data yang ada didalam
komputer akan diambil sebagai alat bukti
dalam menghukum pelaku cybercrime. Dalam
prakteknya data didalam komputer tersebut Review EaseUS Data Recovery Wizard untuk Digital Forensik 44 0
digital. Pada
penelitian
ini
penulis
menggunakan sebuah perangkat keras
flash disk Kingston 512 MB. sudah dihapus oleh pelaku sebelum komputer
tersebut disita oleh pihak berwajib. Dalam hal
inilah diperlukan aplikasi untuk mencari data
yang sudah dihapus tersebut. Proses pencarian
data yang sudah dihapus ini disebut dengan
istilah digital forensik. b)
Examination
Examination
merupakan
proses
pengambilan data pada barang bukti
menggunakan
tool
forensik. Pada
penelitian ini penulis menggunakan tool
forensik Easeus Data Recovery Wizard b)
Examination
Examination
merupakan
proses
pengambilan data pada barang bukti
menggunakan
tool
forensik. Pada
penelitian ini penulis menggunakan tool
forensik Easeus Data Recovery Wizard 3.1. Implementasi Penerapan
aplikasi
EaseUS
Data
Recovery Wizard dilakukan pada sistem
operasi Windows 7. Aplikasi ini adalah
software yang bisa di download secara gratis. Setelah
software
tersebut
di
download
kemudian diinstall, tampilan awal untuk
aplikasi EaseUS Data Recovery Wizard seperti
pada Gambar 1. g
py
4. Hapus semua data didalam flash drive,
seperti terlihat pada Gambar 4. g
py
4. Hapus semua data didalam flash drive,
seperti terlihat pada Gambar 4. Gambar 1. Tampilan EaseUS Data Recovery
Wizard seperti terlihat pada Gambar 4. Gambar 1. Tampilan EaseUS Data Recovery
Wizard Gambar 4. Proses menghapus semua file Gambar 4. Proses menghapus semua file 5. Kosongkan recycle bin, seperti terlihat
pada Gambar 5. 3. HASIL DAN PEMBAHASAN 3. Copy sepuluh buah file dari drive D ke
flash drive, seperti terlihat pada Gambar 3. Gambar 3. Proses mengcopy file
4. Hapus semua data didalam flash drive,
seperti terlihat pada Gambar 4. Gambar 4. Proses menghapus semua file
5. Kosongkan recycle bin, seperti terlihat
pada Gambar 5. Gambar 5. Proses penghapus recycle bin 3. Copy sepuluh buah file dari drive D ke
flash drive, seperti terlihat pada Gambar 3. flash drive, seperti terlihat pada Gambar 3. 3.2. Pengujian Pengujian aplikasi ini dilakukan untuk
mengetahui bagaimana kinerja aplikasi dalam
pencarian data yang sudah dihapus didalam
sebuah flash drive. Dalam pengujian ini akan
dilihat hasilnya berdasarkan banyaknya jumlah
data yang dapat discan dan jumlah data yang
dapat dipulihkan. p
Gambar 5. Proses penghapus recycle bin Gambar 5. Proses penghapus recycle bin 3.3. Pengujian EaseUS Data Recovery Wizard
Untuk pengujian dengan EaseUS Data
Recovery Wizard dilakukan dengan National
Institute of Standard and Technology (NIST) 3.3. Pengujian EaseUS Data Recovery Wizard
Untuk pengujian dengan EaseUS Data
Recovery Wizard dilakukan dengan National
Institute of Standard and Technology (NIST) Gambar 5. Proses penghapus recycle bin 2. METODE PENELITIAN Metodologi
yang
digunakan
untuk
penelitian ini adalah National Institute of
Standard and Technology (NIST) yang dibagi
menjadi empat tahap yakni, Collection,
Examination, Analysis, dan Reporting[7],
Masing-masing
fase
yang
berbeda
ini
dijelaskan lebih lanjut: a)
Collection
Collection merupakan proses identifikasi
barang bukti yang digunakan berupa
perangkat keras yang akan diambil
datanya untuk digunakan sebagai bukti Handrizal 45 ◼ 3. Copy sepuluh buah file dari drive D ke
flash drive, seperti terlihat pada Gambar 3. Gambar 3. Proses mengcopy file
4. Hapus semua data didalam flash drive,
seperti terlihat pada Gambar 4. Gambar 4. Proses menghapus semua file 3.3.2 Examination Pada
tahap
ini
dilakukan
dengan
langkah-langkah berikut ini: Pada
tahap
ini
dilakukan
dengan
langkah-langkah berikut ini: 3.3.1 Collection
Pada
tahap
ini
dilakukan
dengan
langkah-langkah berikut ini: 3.3.1 Collection
Pada
tahap
ini
dilakukan
dengan
langkah-langkah berikut ini: 3.3.1 Collection
Pada
tahap
ini
dilakukan
dengan
langkah-langkah berikut ini: 1. Jalankan aplikasi EaseUS Data Recovery
Wizard. Pada langkah ini akan didapatkan
tampilan
pada
layar
aplikasi
seperti
Gambar 6 1. Masukkan USB flash drive ke port USB. 2. Format USB flash drive, seperti terlihat
pada Gambar 2. pada Gambar 2. Gambar 2. Format USB flash drive pada Gambar 2. Gambar 2. Format USB flash drive Gambar 6. Gambar 6. Proses scanning semua drive Gambar 6. Gambar 6. Proses scanning semua drive Gambar 2. Format USB flash drive Gambar 6. Proses scanning semua drive Review EaseUS Data Recovery Wizard untuk Digital Forensik 46 ISSN: 197
2. Untuk memilih drive tertentu, klik pada
drive yang di inginkan, dalam uji coba ini
di pilih drive dengan nama AAN(F),
kemudian akan tampil seperti Gambar 7. 20
6. Langkah selanjutnya beri tanda ceklist
pada file yang akan direcovery, seperti pada
Gambar 10. 20
6. Langkah selanjutnya beri tanda ceklist
pada file yang akan direcovery, seperti pada
Gambar 10. Gambar 10. Pemilihan file yang akan
direcovery Gambar 10. Pemilihan file yang akan
direcovery Gambar 7. Tampilan proses scan drive F Gambar 7. Tampilan proses scan drive F Gambar 10. Pemilihan file yang akan
direcovery Gambar 7. Tampilan proses scan drive F 7. Langkah selanjutnya klik “Recovery” dan
tentukan tempat penyimpan file yang akan
direcovery, seperti pada Gambar 11. Gambar 11. Proses recovery file
8. Setelah proses recovery selesai akan tampil
seperti Gambar 12. Gambar 12. Proses recovery selesai
9. Setelah proses recovery selesai, langkah
selanjutnya melihat file tersebut pada USB
flash drive, seperti pada Gambar 13. 7. Langkah selanjutnya klik “Recovery” dan
tentukan tempat penyimpan file yang akan
direcovery, seperti pada Gambar 11. 3. Setelah proses scan drive selasai akan
tampil seperti Gambar 8. Gambar 8. Hasil proses scan drive 3. Setelah proses scan drive selasai akan
tampil seperti Gambar 8. y,
p
p
Gambar 11. Proses recovery file Gambar 11. Proses recovery file 8. Setelah proses recovery selesai akan tampil
seperti Gambar 12. Gambar 12. Proses recovery selesai 8. Setelah proses recovery selesai akan tampil
seperti Gambar 12. 8. Setelah proses recovery selesai akan tampil
seperti Gambar 12. 4. Pada gambar 8 terdapat tiga buah folder
yaitu 5. Gambar 16. Isi file hasil recovery Pada Gambar 16 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya tidak
sesuai dengan isi file aslinya seperti terlhat
pada Gambar 17. 3.3.2 Examination Untuk memilih folder tertentu, klik pada
folder yang di inginkan, dalam uji coba ini
di pilih folder dengan nama Delete Files,
kemudian akan tampil seperti Gambar 9. Gambar 9. Tampilan isi folder Delete Files 5. Untuk memilih folder tertentu, klik pada
folder yang di inginkan, dalam uji coba ini
di pilih folder dengan nama Delete Files,
kemudian akan tampil seperti Gambar 9. Gambar 12. Proses recovery selesai 9. Setelah proses recovery selesai, langkah
selanjutnya melihat file tersebut pada USB
flash drive, seperti pada Gambar 13. 9. Setelah proses recovery selesai, langkah
selanjutnya melihat file tersebut pada USB
flash drive, seperti pada Gambar 13. Gambar 9. Tampilan isi folder Delete Files ◼ 47 Handrizal Handrizal IJCCSISSN: 1978-1520
Gambar 13. File hasil recovery Gambar 13. File hasil recovery 3.3.3 Analysis Pada
tahap
ini
dilakukan
dengan
langkah-langkah berikut ini: 1. Langkah
selanjutnya
melihat
masing-
masing isi file tersebut pada USB flash
drive, dalam penelitian ini di coba melhat
isi file yang pertama seperti pada Gambar
14. 14. Gambar 14. Isi file hasil recovery Gambar 17. Isi file hasil sebelum di delete
3. Langkah selanjutnya melihat isi file yang
ketiga seperti pada Gambar 18. Gambar 18. Isi file hasil recovery
Pada Gambar 18 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya tidak
sesuai dengan isi file aslinya seperti terlhat
pada Gambar 19. Gambar 19. Isi file hasil sebelum di delete Gambar 17. Isi file hasil sebelum di delete
3. Langkah selanjutnya melihat isi file yang
ketiga seperti pada Gambar 18. Gambar 18. Isi file hasil recovery Titl
f
i t i
h
t
d l
i
li
h
lt (Fi t A th
)
Gambar 14. Isi file hasil recovery
Pada Gambar 14 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya
tidak sesuai dengan isi file aslinya seperti
terlhat pada Gambar 15. Gambar 15. Isi file hasil sebelum di delete
2. Langkah selanjutnya melihat isi file yang
kedua seperti pada Gambar 16. Gambar 17. Isi file hasil sebelum di delete
3. Langkah selanjutnya melihat isi file yang
ketiga seperti pada Gambar 18. Gambar 18. Isi file hasil recovery
Pada Gambar 18 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya tidak
sesuai dengan isi file aslinya seperti terlhat
pada Gambar 19. Gambar 19. Isi file hasil sebelum di delete Gambar 17. Isi file hasil sebelum di delete f
3. Langkah selanjutnya melihat isi file yang
ketiga seperti pada Gambar 18. ketiga seperti pada Gambar 18. Gambar 18. Isi file hasil recovery Gambar 14. Isi file hasil recovery Pada Gambar 14 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya
tidak sesuai dengan isi file aslinya seperti
terlhat pada Gambar 15. Gambar 15. Isi file hasil sebelum di delete Gambar 18. Isi file hasil recovery Gambar 18. Isi file hasil recovery Pada Gambar 18 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya tidak
sesuai dengan isi file aslinya seperti terlhat
pada Gambar 19. Pada Gambar 18 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya tidak
sesuai dengan isi file aslinya seperti terlhat
pada Gambar 19. p
Gambar 19. Isi file hasil sebelum di delete Gambar 15. Isi file hasil sebelum di delete 2. 3.3.3 Analysis Langkah selanjutnya melihat isi file yang
kedua seperti pada Gambar 16. Gambar 19. Isi file hasil sebelum di delete ◼
Review
ISSN: 1978-1
48
4. Langkah selanjutnya melihat isi file yang
keempat seperti pada Gambar 20. Gambar 20. Isi file hasil recovery
Pada Gambar 20 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya
tidak sesuai dengan isi file aslinya seperti
terlhat pada Gambar 21. Gambar 21. Isi file hasil sebelum di delete
5. Langkah selanjutnya melihat isi file yang
kelima seperti pada gambar 22. Gambar 22. Isi file hasil recovery
Pada Gambar 22 dapat dilihat bahwa file tersebut
bisa dibuka dan hasilnya sama dengan isi file
aslinya seperti terlhat pada Gambar 23. Review EaseUS Data Recovery Wizard untuk Digital Forensik 48 20
Gambar 23. Isi file hasil sebelum di delete ISSN: 197
4. Langkah selanjutnya melihat isi file yang
keempat seperti pada Gambar 20. ISSN: 197
4. Langkah selanjutnya melihat isi file yang
keempat seperti pada Gambar 20. Gambar 20. Isi file hasil recovery Gambar 23. Isi file hasil sebelum di delete Gambar 23. Isi file hasil sebelum di delete 6. Langkah selanjutnya melihat isi file yang
keenam seperti pada Gambar 24. Gambar 24. Isi file hasil recovery 6. Langkah selanjutnya melihat isi file yang
keenam seperti pada Gambar 24. 6. Langkah selanjutnya melihat isi file yang
keenam seperti pada Gambar 24. Gambar 20. Isi file hasil recovery Pada Gambar 20 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya
tidak sesuai dengan isi file aslinya seperti
terlhat pada Gambar 21. p
Gambar 21. Isi file hasil sebelum di delete Gambar 24. Isi file hasil recovery Gambar 24. Isi file hasil recovery Pada Gambar 24 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya
tidak sesuai dengan isi file aslinya seperti
terlhat pada Gambar 25. Pada Gambar 24 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya
tidak sesuai dengan isi file aslinya seperti
terlhat pada Gambar 25. Gambar 21. Isi file hasil sebelum di delete p
Gambar 25. Isi file hasil sebelum di delete
7. Langkah selanjutnya melihat isi file yang
ketujuh seperti pada Gambar 26. Gambar 26. Isi file hasil recovery Gambar 25. Isi file hasil sebelum di delete 5. Langkah selanjutnya melihat isi file yang
kelima seperti pada gambar 22. 5. Langkah selanjutnya melihat isi file yang
kelima seperti pada gambar 22. p
p
g
Gambar 22. 3.3.3 Analysis Isi file hasil recovery Gambar 25. Isi file hasil sebelum di delete Gambar 25. Isi file hasil sebelum di delete Gambar 25. Isi file hasil sebelum di delete f
7. Langkah selanjutnya melihat isi file yang
ketujuh seperti pada Gambar 26. 7. 7. Langkah selanjutnya melihat isi file yang
ketujuh seperti pada Gambar 26. Gambar 26. Isi file hasil recovery Gambar 22. Isi file hasil recovery Pada Gambar 22 dapat dilihat bahwa file tersebut
bisa dibuka dan hasilnya sama dengan isi file
aslinya seperti terlhat pada Gambar 23. Gambar 26. Isi file hasil recovery Gambar 26. Isi file hasil recovery Handrizal IJCCSISSN: 1978-1520
◼
Ti l
f
i
i
h
d l
i
li
h
l
(Fi
A h
)
49
Pada Gambar 26 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya
tidak sesuai dengan isi file aslinya seperti
terlhat pada Gambar 27. Gambar 27. Isi file hasil sebelum di delete
8. Langkah selanjutnya melihat isi file yang
kedelapan seperti pada Gambar 28. Gambar 28. Isi file hasil recovery
Pada Gambar 28 dapat dilihat bahwa file
tersebut bisa dibuka dan hasilnya sam dengan
isi file aslinya seperti terlhat pada Gambar 29. Gambar 29. Isi file hasil sebelum di delete
9. Langkah selanjutnya melihat isi file yang
kesembilan seperti pada Gambar 30. Gambar 30. Isi file hasil recovery
Pada Gambar 30 dapat dilihat bahwa file tersebut
bisa dibuka dan hasilnya sama dengan isi file
aslinya seperti terlhat pada Gambar 31. Gambar 31. Isi file hasil sebelum di delete
10. Langkah selanjutnya melihat isi file yang
kesepuluh seperti pada Gambar 31. Gambar 32. Isi file hasil recovery
Pada Gambar 32 dapat dilihat bahwa file tersebut
bisa dibuka dan hasilnya sama dengan isi file
aslinya seperti terlihat pada Gambar 33. Gambar 33. Isi file hasil sebelum di delete 49 ◼ Handrizal Pada Gambar 26 dapat dilihat bahwa file
tersebut tidak bisa dibuka dan hasilnya
tidak sesuai dengan isi file aslinya seperti
terlhat pada Gambar 27. Gambar 30. Isi file hasil recovery p
Gambar 27. Isi file hasil sebelum di delete Gambar 27. Isi file hasil sebelum di delete Gambar 30. Isi file hasil recovery Gambar 30. Isi file hasil recovery Pada Gambar 30 dapat dilihat bahwa file tersebut
bisa dibuka dan hasilnya sama dengan isi file
aslinya seperti terlhat pada Gambar 31. 4. KESIMPULAN Berdasarkan
penelitian
yang
telah
dilakukan dapat ambil kesimpulan, antara lain: [6] [6]
T. Fisher, “A Full Review of EaseUS
Data Recovery Wizard a free file
undelete
tool.”
2020,
[Online]. Available:
https://www.lifewire.com/easeus-data-
recovery-wizard-review-2622879. 1. Aplikasi EaseUS Data Recovery Wizard
dapat menemukan semua file yang sudah
dihapus dalam sebuah flash drive dan
sudah dikosong dari recycle bin. 2. Aplikasi EaseUS Data Recovery Wizard
hanya dapat memulihkan 4 file (40%) yang
sudah dihapus dalam sebuah flash drive. 2. Aplikasi EaseUS Data Recovery Wizard
hanya dapat memulihkan 4 file (40%) yang
sudah dihapus dalam sebuah flash drive. [7] I. Riadi, S. Sunardi, and Sahiruddin,
“Perbandingan Tool Forensik Data
Recovery
Berbasis
Android
Menggunakan
Metode
NIST,”
J. Teknol. Inf. dan Ilmu Komput., vol. 7,
no. 1, pp. 197–204, 2020, doi:
10.25126/jtiik.202071921. 3.3.3 Analysis Pada Gambar 30 dapat dilihat bahwa file tersebut
bisa dibuka dan hasilnya sama dengan isi file
aslinya seperti terlhat pada Gambar 31. Gambar 27. Isi file hasil sebelum di delete y
p
p
Gambar 31. Isi file hasil sebelum di delete y
p
p
Gambar 31. Isi file hasil sebelum di delete 8. Langkah selanjutnya melihat isi file yang
kedelapan seperti pada Gambar 28. Gambar 28. Isi file hasil recovery 8. Langkah selanjutnya melihat isi file yang
kedelapan seperti pada Gambar 28. Gambar 31. Isi file hasil sebelum di delete Gambar 31. Isi file hasil sebelum di delete 10. Langkah selanjutnya melihat isi file yang
kesepuluh seperti pada Gambar 31. 10. Langkah selanjutnya melihat isi file yang
kesepuluh seperti pada Gambar 31. Gambar 28. Isi file hasil recovery p
p
p
Gambar 32. Isi file hasil recovery Pada Gambar 28 dapat dilihat bahwa file
tersebut bisa dibuka dan hasilnya sam dengan
isi file aslinya seperti terlhat pada Gambar 29. Gambar 29. Isi file hasil sebelum di delete Gambar 32. Isi file hasil recovery Pada Gambar 32 dapat dilihat bahwa file tersebut
bisa dibuka dan hasilnya sama dengan isi file
aslinya seperti terlihat pada Gambar 33. Gambar 29. Isi file hasil sebelum di delete y
p
p
Gambar 33. Isi file hasil sebelum di delete 9. Langkah selanjutnya melihat isi file yang
kesembilan seperti pada Gambar 30. Gambar 33. Isi file hasil sebelum di delete Gambar 33. Isi file hasil sebelum di delete 50 Review EaseUS Data Recovery Wizard untuk Digital Forensik 3.3.4 Reporting Dari pengujian yang sudah dilakukan
menggunakan USB flash drive, diperoleh hasil
seperti terlihat pada Tabel 2. [1]
D. Juju, “Data Recovery, Pulihkan
Data dengan Tool Sederhana dan
Mudah.” Elex Media Komputindo,
2008. Tabel 2. Hasil Pengujian EaseUS Data
Recovery Wizard
No
Parameter
Hasil
1
Jumlah
data
yang
berhasil di scan
10
2
Jumlah
data
yang
berhasil di recovery
4 Tabel 2. Hasil Pengujian EaseUS Data
Recovery Wizard [2]
B. Mathew, "File Data Recovery : PC
Hard drive Data Recovery, USB Data
Recovery,
Mac
Data
Recovery,
Android
Data
Recovery,
Data
Recovery
Services". CreateSpace
Independent
Publishing
Platform,
2014. [3] [3]
I. Lazaridis, T. Arampatzis, and S. Pouros,
“Evaluation
of
Digital
Forensics Tools on Data Recovery and
Analysis,” Third Int. Conf. Comput. Sci. Comput. Eng. Soc. Media, pp. 67–
71, 2016. Berdasarkan Tabel 2 diketahui bahwa
aplikasi EaseUS Data Recovery Wizard yang
digunakan dapat menemukan semua file yang
sudah
dihapus,
tetapi
hanya
mampu
memulihkan kembali 4 file (40%) yang sudah
dihapus tersebut, hal ini kemungkinan terjadi
karena perangkat flash disk yang digunakan
sudah diformat dan data pada recycle bin juga
dikosongkan, sehingga datanya menjadi susah
untuk dipulihkan. [4]
F. Sulianta, “Komputer Forensik.” PT
Elex
Media
Komputindo,
Jakarta,
2008. [5] [5]
V. Singh, A. Tarannum, and V. Saran,
“Efficiency of open source tools for
Recovery of Unconventional deleted
data : A Review,” no. August, pp. 19–
24, 2015. 5. SARAN 1. Untuk mengetahui lebih jauh mengenai
kemampuan aplikasi ini, disarankan untuk
melakukan
pengujian
terhadap
media
penyimpan yang lain. 2. Selain aplikasi yang sudah diuji dalam
penelitian ini, masih banyak aplikasi yang
lainnya. Untuk
itu
disarankan
agar
melakukan penelitian dengan menggunakan
aplikasi yang lain.
|
https://openalex.org/W3040121687
|
https://www.nature.com/articles/s41467-020-17086-8.pdf
|
English
| null |
Molecular resolution imaging by post-labeling expansion single-molecule localization microscopy (Ex-SMLM)
|
Nature communications
| 2,020
|
cc-by
| 14,917
|
1 Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany. 2 Department of Cell
Biology, Sciences III, University of Geneva, Geneva, Switzerland. 3 School of Chemistry, Monash University, Clayton, VIC 3800, Australia.
✉email: virginie.hamel@unige.ch; paul.guichard@unige.ch; m.sauer@uni-wuerzburg.de ARTICLE Molecular resolution imaging by post-labeling
expansion single-molecule localization
microscopy (Ex-SMLM) Fabian U. Zwettler1, Sebastian Reinhard1, Davide Gambarotto
2, Toby D. M. Bell3, Virginie Hamel
2✉,
Paul Guichard
2✉& Markus Sauer
1✉ Fabian U. Zwettler1, Sebastian Reinhard1, Davide Gambarotto
2, Toby D. M. Bell3, Virginie Hamel
2✉,
Paul Guichard
2✉& Markus Sauer
1✉ Expansion microscopy (ExM) enables super-resolution fluorescence imaging of physically
expanded biological samples with conventional microscopes. By combining ExM with single-
molecule localization microscopy (SMLM) it is potentially possible to approach the resolution
of electron microscopy. However, current attempts to combine both methods remained
challenging because of protein and fluorophore loss during digestion or denaturation, gela-
tion, and the incompatibility of expanded polyelectrolyte hydrogels with photoswitching
buffers. Here we show that re-embedding of expanded hydrogels enables dSTORM imaging
of expanded samples and demonstrate that post-labeling ExM resolves the current limitations
of super-resolution microscopy. Using microtubules as a reference structure and centrioles,
we demonstrate that post-labeling Ex-SMLM preserves ultrastructural details, improves the
labeling efficiency and reduces the positional error arising from linking fluorophores into the
gel thus paving the way for super-resolution imaging of immunolabeled endogenous proteins
with true molecular resolution. 1 Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany. 2 Department of Cell
Biology, Sciences III, University of Geneva, Geneva, Switzerland. 3 School of Chemistry, Monash University, Clayton, VIC 3800, Australia. ✉email: virginie.hamel@unige.ch; paul.guichard@unige.ch; m.sauer@uni-wuerzburg.de 1 NATURE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunications ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 B
y linking a fluorophore or a protein of interest into a dense,
cross-linked network of a swellable polyelectrolyte hydrogel,
biological specimen can be physically expanded allowing for
magnified imaging with subdiffraction-resolution on conventional
microscopes. Since its introduction in 20151, expansion microscopy
(ExM) has shown impressive results including the magnified
visualization of pre- or postexpansion labeled proteins and RNAs
with fluorescent proteins (FPs), antibodies, and oligonucleotides,
respectively, in isolated organelles, cells, pathogens, tissues, and
human clinical specimen2–4. In addition, various protocols have
been developed to anchor proteins or RNA into charged poly-
acrylamide hydrogels5–8. Using 2.5% (w/w) acrylamide and 8.55%
sodium acrylate with 0.15% (w/w) of the cross-linker N-N
′-methylenebisacrylamide accomplishes a ~4.5x linear expansion of
biological specimens. Decreasing the cross-linker concentration
usually permits higher gel expansion factors of up to 10x but also
increases proportionally the linkage error defined by the affinity
reagent, linker and fluorophore and leads to greater gel instability9. Results Re-embedding of expanded samples enables Ex-SMLM in
photoswitching buffer. A major problem of Ex-SMLM is the
shrinking of the expanded hydrogels in photoswitching buffer
due to ionic interactions between ions of the buffer and the ionic
side groups of the gel. Therefore, we re-embedded expanded
charged hydrogels in an uncharged polyacrylamide gel as
recently introduced for ExM of RNA6. We started using pre-
labeling ExM in combination with standard immunostaining
using unmodified primary and fluorophore labeled secondary
antibodies to realize Ex-SMLM (Supplementary Fig. 1). We used
microtubules as reference structure to investigate the expansion
factor, spatial resolution, structural distortions, and the labeling
density. Microtubules are assembled from αß tubulin hetero-
dimers, which stack head-to-tail into polar protofilaments with a
periodicity of 8 nm, with ~13 protofilaments associating laterally
in parallel to form a hollow, polar cylinder (Fig. 1a)23,24. As previously measured by transmission electron microscopy
(TEM), microtubules are hollow tubes with an outer diameter of
25 nm and 60 nm, respectively, after immunostaining with pri-
mary and secondary antibodies22. This results in a linkage error
defined by the size of the primary and secondary antibody of
17.5 nm (Fig. 1a). y
To further enhance the resolution, ExM has been combined
with structured illumination microscopy (SIM)13,14 and stimu-
lated emission depletion (STED) microscopy2,15. By careful
optimization of the expansion protocol U-ExM demonstrated
that even ultrastructural details of multiprotein complexes such as
centrioles can be truthfully preserved2. Combining ExM with
SMLM
methods
(Ex-SMLM)
can
then
potentially
further
improve the spatial resolution to enable true molecular resolution
and bridge the gap to the electron microscopy regime. However,
despite these apparent advantages, attempts to combine ExM
with SMLM have remained rare and unoptimized due to several
challenges5,16. There are two major determinants that control the
resolution of SMLM, the localization precision and the localiza-
tion density11,12. The localization precision remains unaltered by
sample expansion and therefore allows achieving an improved
resolution depending on the expansion factor. The localization
density is arguably the more important determinant for SMLM
on expanded samples. According to information theory, the
required density of fluorescent probes has to be sufficiently high
to satisfy the Nyquist–Shannon sampling theorem17. At its most
basic level, the theorem states that the mean distance between
neighboring localized fluorophores (the sampling interval) must
be at least twice as fine as the desired resolution. Molecular resolution imaging by post-labeling
expansion single-molecule localization
microscopy (Ex-SMLM) It is also possible to expand samples in series enabling gel expansion
factors of 20x and higher with a demonstration of 53x expansion of
microtubules10. However, fluorescence imaging of such greatly
enlarged samples is complicated by the dilution of fluorescent labels
and dramatic increase in the physical separation between the
fluorophore and its target due to the linkage error. Nevertheless,
ExM with lower expansion factors enables confocal diffraction-
limited fluorescence imaging with spatial resolutions comparable to
that of super-resolution microscopy methods11,12. B
y
b to form polymers. However, free radicals also have the potential
to react with the fluorophores which can irreversibly destroy
them1,3,5. Therefore, the fluorophore density will be further
diluted in ExM protocols that use pre-expansion labeling and
consequently reduce the structural resolution. The extent of
irreversible fluorophore destruction during gelation varies across
fluorophores. Unfortunately, the best suited dyes for dSTORM,
the carbocyanine dyes Cy5 and Alexa Fluor 64719,20, are almost
completely destroyed during gelation1,3,5 Here, post-expansion
labeling
approaches
(post-labeling
ExM)
offer
acceptable
solutions2,7,8, though they require preservation of protein epi-
topes during expansion. An additional benefit of post-labeling ExM is improved epitope
accessibility for antibodies and a reduction of the linkage error
proportional to the expansion factor compared to pre-labeling
ExM2. For instance, after 4x expansion, the immunolabeling
linkage error of 17.5 nm defined by the primary and secondary
antibodies22, would reduce to 4.4 nm, which is the size of a
tubulin monomer23. Combining SMLM with post-labeling ExM
reduces the linkage error by the expansion factor and could thus
enable fluorescence imaging with molecular resolution. Here, we
set out to develop post-labeling Ex-SMLM with organic fluor-
ophores with minimal linkage error. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 The data were obtained from n=35 microtubule segments in
12 cells and 3 independent experiments. Scale bars, 2 µm (b, f), 500 nm (c, g). Fig. 1 Re-embedding enables Ex-dSTORM. a Model of microtubules with an outer diameter of 25 nm stained with conventional primary (pab) and
fluorescently labeled secondary IgG antibodies (sab) results in a total diameter of 60 nm with a linkage error (defined by the size of the primary and
secondary antibody) of 17.5 nm22. b dSTORM image of pre-labeled proExM expanded and re-embedded Cos-7 cells stained with primary antibodies
against α-tubulin and secondary Alexa Fluor 532 conjugated antibodies (Al532). The small logo in the upper left corner symbolizes that microtubules have
been immunolabeled before expansion (pre-labeled). c Zoom in on highlighted region in (b). d Averaged cross-sectional profile of nine microtubule
segments with a total length of 29.1 µm (segment lengths range from 2.1-4.5 µm) measured in two cells from 1 expanded sample. e Histogram of peak-to-
peak distances with normalized normal distribution curve (red) determined by bi-Gaussian fitting of the data analyzed in (c) with an average distance of
137.1 ± 10.1 nm (mean ± sd). The data were obtained from n = 9 microtubule segments in 2 cells from 1 expanded sample. f Unexpanded Cos-7 cells labeled
with an anti α-tubulin primary antibody and Alexa Fluor 532 (Al532) conjugated IgG secondary antibodies. The small logo in the upper left corner
symbolizes that microtubules have been immunolabeled and not expanded. g Zoom in of the white boxed region in (f). h Average intensity profile of 35
microtubule segments with a length between 1.1 and 5.8 µm (mean = 2.0 µm) and a total length of 69.6 µm analyzed in 12 dSTORM images. i Histogram of
peak-to-peak distances with normalized normal distribution curve (red) determined by bi-Gaussian fitting of cross-sectional profiles of the analyzed
microtubule segments in (h) with a mean peak-to-peak distance of 36.2 ± 5.4 nm (mean ± sd). The data were obtained from n=35 microtubule segments in
12 cells and 3 independent experiments. Scale bars, 2 µm (b, f), 500 nm (c, g). two-dimensional (2D) projection of the fluorescence intensity
distribution measured from microtubule filaments show a
bimodal distribution, the peak-to-peak distance can then be
fitted with a sum of two Gaussians and used as an estimate of the
spatial resolution. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 α-tubulin
β-tubulin
8 nm
sab
sab
pab
pab
a
b
c
proExM AI532
137.1 ± 10.1 nm
pre
post
36.2 ± 5.4 nm
Unexpanded AI532
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–400
–200
–200
400
0
Distance [nm]
120
130
140
150
160
Peak-to-peak distance [nm]
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–200
200
0
Distance [nm]
20 25 30 35 40 45 50 55
Peak-to-peak distance [nm]
g
f
d
e
h
i
Fig. 1 Re-embedding enables Ex-dSTORM. a Model of microtubules with an outer diameter of 25 nm stained with conventional primary (pab) and
fluorescently labeled secondary IgG antibodies (sab) results in a total diameter of 60 nm with a linkage error (defined by the size of the primary and
secondary antibody) of 17.5 nm22. b dSTORM image of pre-labeled proExM expanded and re-embedded Cos-7 cells stained with primary antibodies
against α-tubulin and secondary Alexa Fluor 532 conjugated antibodies (Al532). The small logo in the upper left corner symbolizes that microtubules have
been immunolabeled before expansion (pre-labeled). c Zoom in on highlighted region in (b). d Averaged cross-sectional profile of nine microtubule
segments with a total length of 29.1 µm (segment lengths range from 2.1-4.5 µm) measured in two cells from 1 expanded sample. e Histogram of peak-to-
peak distances with normalized normal distribution curve (red) determined by bi-Gaussian fitting of the data analyzed in (c) with an average distance of
137.1 ± 10.1 nm (mean ± sd). The data were obtained from n = 9 microtubule segments in 2 cells from 1 expanded sample. f Unexpanded Cos-7 cells labeled
with an anti α-tubulin primary antibody and Alexa Fluor 532 (Al532) conjugated IgG secondary antibodies. The small logo in the upper left corner
symbolizes that microtubules have been immunolabeled and not expanded. g Zoom in of the white boxed region in (f). h Average intensity profile of 35
microtubule segments with a length between 1.1 and 5.8 µm (mean = 2.0 µm) and a total length of 69.6 µm analyzed in 12 dSTORM images. i Histogram of
peak-to-peak distances with normalized normal distribution curve (red) determined by bi-Gaussian fitting of cross-sectional profiles of the analyzed
microtubule segments in (h) with a mean peak-to-peak distance of 36.2 ± 5.4 nm (mean ± sd). The data were obtained from n=35 microtubule segments in
12 cells and 3 independent experiments. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 Scale bars, 2 µm (b, f), 500 nm (c, g). b
pre
post a c c
proExM AI532
137.1 ± 10.1 nm
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–400
–200
–200
400
0
Distance [nm]
120
130
140
150
160
Peak-to-peak distance [nm]
d
e d f 36.2 ± 5.4 nm
Unexpanded AI532
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–200
200
0
Distance [nm]
20 25 30 35 40 45 50 55
Peak-to-peak distance [nm]
g
h
i g g 1 0h Fig. 1 Re-embedding enables Ex-dSTORM. a Model of microtubules with an outer diameter of 25 nm stained with conventional primary (pab) and
fluorescently labeled secondary IgG antibodies (sab) results in a total diameter of 60 nm with a linkage error (defined by the size of the primary and
secondary antibody) of 17.5 nm22. b dSTORM image of pre-labeled proExM expanded and re-embedded Cos-7 cells stained with primary antibodies
against α-tubulin and secondary Alexa Fluor 532 conjugated antibodies (Al532). The small logo in the upper left corner symbolizes that microtubules have
been immunolabeled before expansion (pre-labeled). c Zoom in on highlighted region in (b). d Averaged cross-sectional profile of nine microtubule
segments with a total length of 29.1 µm (segment lengths range from 2.1-4.5 µm) measured in two cells from 1 expanded sample. e Histogram of peak-to-
peak distances with normalized normal distribution curve (red) determined by bi-Gaussian fitting of the data analyzed in (c) with an average distance of
137.1 ± 10.1 nm (mean ± sd). The data were obtained from n = 9 microtubule segments in 2 cells from 1 expanded sample. f Unexpanded Cos-7 cells labeled
with an anti α-tubulin primary antibody and Alexa Fluor 532 (Al532) conjugated IgG secondary antibodies. The small logo in the upper left corner
symbolizes that microtubules have been immunolabeled and not expanded. g Zoom in of the white boxed region in (f). h Average intensity profile of 35
microtubule segments with a length between 1.1 and 5.8 µm (mean = 2.0 µm) and a total length of 69.6 µm analyzed in 12 dSTORM images. i Histogram of
peak-to-peak distances with normalized normal distribution curve (red) determined by bi-Gaussian fitting of cross-sectional profiles of the analyzed
microtubule segments in (h) with a mean peak-to-peak distance of 36.2 ± 5.4 nm (mean ± sd). Results In real samples,
however, the relationship between localization density and reso-
lution is far more complex18. Empirically, it seems that for a given
resolution the distance between neighboring localizations should
be significantly less than that indicated by a naive application of
the Nyquist limit19. g
We used the proExM protocol, in which proteins are directly
anchored to the hydrogel using the succinimidyl ester of 6-
((acryloyl)amino)hexanoic acid (AcX)5. To minimize fluorophore
loss during gelation in pre-labeling ExM methods, we used the
rhodamine derivative Alexa Fluor 532, which retains ~50% of its
pre-gelation brightness after expansion1,3,5. To prevent shrinking
of
the
hydrogel
upon
addition
of
photoswitching
buffer,
expanded hydrogels were re-embedded in acrylamide for serial
staining of the expanded specimen6. Hydrogels were incubated
twice in 10% AA, 0.15% bis-acrylamide, 0.05% APS, 0.05%
TEMED in 5 mM Tris (pH 8.9) for 30 min each and subsequently
transferred onto coverslips functionalized with acrydite via
glass silanization to minimize lateral drift of expanded samples
(Supplementary
Fig. 1). After
polymerization
of
the
re-
embedding gel, hydrogels were immersed in photoswitching
buffer
containing
100 mM
mercaptoethylamine
(MEA)
in
PBS. The expansion factor was determined by comparing the
post-expansion and post re-embedding fluorescence images with These considerations illustrate the challenges Ex-SMLM is
confronted with. First, the fluorophore density is considerably
diluted in expanded samples9,10, which often results in unclear
views of biological structures and complicates SMLM data
interpretation. For example, a 4x expansion in three dimensions
effectively lowers the labeling density 64-fold. Second, addition of
a thiol-containing phosphate-buffered saline (PBS) photoswitch-
ing buffer as required for dSTORM20,21 to a swellable polyelec-
trolyte hydrogel with hydrophilic ionic side groups results in
substantial shrinking of the gel in the worst case down to its
initial size. Finally, ExM protocols use free-radical polymerization URE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunications 2 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 NATURE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 To ensure an objective evaluation and
comparison of the spatial resolution achieved, we developed
“Line Profiler”, an automated image processing software. Line
Profiler automatically evaluates potential regions of interest along
filamentous structures to generate cross-sectional profiles that can
be fit by a sum of two Gaussians to determine the peak-to-peak
distance between the sidewalls of the filamentous structure
(Supplementary Fig. 4). pre-expansion fluorescence images. The results showed a low
distortion introduced by the re-embedding process and a
reduction in gel size of ~20% from ~3.9x before to ~3.1x after
re-embedding (Supplementary Figs. 2 and 3). g
pp
y
g
A caveat of imaging expanded samples is that super-resolution
imaging methods, and in particular SMLM, are most effective when
used on thin samples located within a few micrometers above the
coverslip surface. However, expanded specimen can be easily
located several tens of micrometers above the coverslip. In addition,
expanded specimens are transparent because they consist largely of
water. Hence, the use of oil-immersion objectives and total internal
reflection fluorescence (TIRF) microscopy as used in most SMLM
applications to achieve a higher signal-to-background ratio is in this
case not the best choice. Therefore, we decided to use a water-
immersion objective and epi-illumination in all SMLM experi-
ments. The
corresponding
dSTORM
images
of
pre-labeled
expanded microtubules showed homogeneously labeled filaments
with some labeling gaps reflecting fluorophore and protein loss
during
polymerization
and
enzymatic
digestion,
respectively
(Fig. 1b, c). In addition, we imaged unexpanded microtubules by
dSTORM under identical experimental conditions (Fig. 1f, g). In order to compare the experimentally measured peak-to-peak
distances of different expansion protocols, we simulated trans-
verse profiles of unexpanded and expanded microtubules using a
cylindrical distribution function to describe the hollow annular
structure of microtubules (Fig. 2a and Supplementary Fig. 5)
similar to the approach used recently for iterative expansion10. The resulting peak-to-peak distances were used to determine
the molecular expansion factor of expanded immunolabeled
microtubules considering the influence of the label size on the
broadening of the microtubule diameter (Supplementary Table 1
and Supplementary Note 1). To examine the achieved spatial resolution, cross-sectional
profiles of selected microtubule areas are often consulted21. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 If the 3 3 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 a
b
c
g
pre
post
pre
post
Antibodies unexpanded (32.0 nm)
Antibodies pre-labeling (proExM/GA)
(143.0 nm)
DNA Cy5 unexpanded (41.5 nm)
DNA Cy5 expanded (202.0 nm)
DNA AI532 expanded (226.5 nm)
1.0
0.5
0.0
–150
–100
–50
0
Distance [nm]
Intensity [a.u.]
50
100
150
f
j
k
133.8 ± 13.2 nm
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–400
–200
–200
400
0
Distance [nm]
120
110
100
130 140 150
170
160
Peak-to-peak distance [nm]
d
e
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–400
–200
–200
400
0
Distance [nm]
195
180
165
210 225 240
Peak-to-peak distance [nm]
133.8 ± 13.2 nm
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–200
200
0
Distance [nm]
Peak-to-peak distance [nm]
h
i
Antibody-AI532 (GA)
Unexpanded DNA-Cy5
DNA-Cy5
DNA-AI532
30
35
40
45
50
55
o
n
201.0 ± 12.9 nm
p
q
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–400
–200
–200
400
0
Distance [nm]
210
195
180
225 240 255 270
Peak-to-peak distance [nm]
226.7 ± 15.3 nm
l
m
Fig. 2 Pre-labeling Ex-dSTORM. a Simulated intensity profiles using a cylindrical distribution function to describe unexpanded or 3.2x expanded
immunostained microtubules (labeled with IgG antibodies or DNA modified IgG antibodies pre-expansion) and resulting peak-to-peak distances of th
cross-sectional profiles. b dSTORM image of expanded and re-embedded α- and β-tubulin pre-labeled with secondary Alexa Fluor 532 IgG antibodies
(Al532) using the MA-NHS/GA method6, i.e. antibodies are cross-linked with glutaraldehyde (GA) into the hydrogel (Antibody-Al532 (GA)). c Zoom in
white boxed region in (b). d Averaged cross-sectional profile of 8 microtubule segments with a length between 1.5–6.4 µm and 28.6 µm in total measur
in 4 expanded cells. e Histogram of peak-to-peak distance distribution with normalized normal curve (red) of microtubule segments analyzed in (d) at n
8 microtubule segments in 4 cells from 1 expansion experiment with a mean distance of 133.8 ± 13.2 nm (mean ± sd). f Unexpanded dSTORM image
ssDNA-Cy5 secondary antibody hybridized with Cy5 bearing oligonucleotides pre-expansion (DNA-Cy5 protocol). g Magnified view of white boxed regi
in (f). h Average cross-sectional profile of 7 microtubule segments with a length between 1.0–1.8 µm and 8.7 µm in total. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 d Averaged cross-sectional profile of 8 microtubule segments with a length between 1.5–6.4 µm and 28.6 µm in total measured
in 4 expanded cells. e Histogram of peak-to-peak distance distribution with normalized normal curve (red) of microtubule segments analyzed in (d) at n =
8 microtubule segments in 4 cells from 1 expansion experiment with a mean distance of 133.8 ± 13.2 nm (mean ± sd). f Unexpanded dSTORM image of
ssDNA-Cy5 secondary antibody hybridized with Cy5 bearing oligonucleotides pre-expansion (DNA-Cy5 protocol). g Magnified view of white boxed region
in (f). h Average cross-sectional profile of 7 microtubule segments with a length between 1.0–1.8 µm and 8.7 µm in total. i Histogram of peak-to-peak
distances with normalized normal distribution curve (red) of the data analyzed in (h) along n = 7 microtubule segments in 2 cells from 1 experiment with a
mean distance of 43.9 ± 3.7 nm (mean ± sd). j Expanded dSTORM image of microtubules labeled with α-tubulin and dsDNA (DNA-Al532) conjugated
secondary antibodies exhibiting a methacryloyl group to crosslink the DNA with fluorophores pre-expansion into the hydrogel (original ExM trifunctional
label concept)1. k Zoom-in of white boxed region in (j). l Average intensity profile of 26 microtubule segments with a length of 2.4–10.7 µm and 118.6 µm in
total. m Histogram of peak-to-peak distances with normalized normal distribution curve (red) determined from n = 26 microtubule segments in 4 cells
from 1 expanded sample showing a mean distance of 226.7 ± 15.3 nm (mean ± sd). n dSTORM image of α- and β-tubulin expanded according to the DNA-
Cy5 protocol strategy with labels at Cy5-bearing oligonucleotides introduced post-re-embedding. o Zoom in of white boxed region in (n). p Average
intensity profile of 15 microtubule segments with a length between 1.6–25.1 µm and a total length of 126.0 µm in 1 expanded sample. q Histogram of peak-
to-peak distances with normalized normal distribution curve (red) determined by fitting the cross-sectional profiles analyzed in (p) along n = 22
microtubule segments in 4 cells from 1 expanded sample showing a mean distance of 201.0 ± 12.9 nm (mean ± sd). The small logos in the upper left corner
symbolize the labeling method, e.g. pre- and post-immunolabeled with or without DNA-linker, respectively. Scale bars, 2 µm (b, f, j, n), 500 nm (c, g, k, o). Pre-labeling Ex-SMLM. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 h Average cross-sectional profile of 7 microtubule segments with a length between 1.0–1.8 µm and 8.7 µm in total. i Histogram of peak-to-peak
distances with normalized normal distribution curve (red) of the data analyzed in (h) along n = 7 microtubule segments in 2 cells from 1 experiment with a
mean distance of 43.9 ± 3.7 nm (mean ± sd). j Expanded dSTORM image of microtubules labeled with α-tubulin and dsDNA (DNA-Al532) conjugated
secondary antibodies exhibiting a methacryloyl group to crosslink the DNA with fluorophores pre-expansion into the hydrogel (original ExM trifunctional
label concept)1. k Zoom-in of white boxed region in (j). l Average intensity profile of 26 microtubule segments with a length of 2.4–10.7 µm and 118.6 µm in
total. m Histogram of peak-to-peak distances with normalized normal distribution curve (red) determined from n = 26 microtubule segments in 4 cells
from 1 expanded sample showing a mean distance of 226.7 ± 15.3 nm (mean ± sd). n dSTORM image of α- and β-tubulin expanded according to the DNA-
Cy5 protocol strategy with labels at Cy5-bearing oligonucleotides introduced post-re-embedding. o Zoom in of white boxed region in (n). p Average
intensity profile of 15 microtubule segments with a length between 1.6–25.1 µm and a total length of 126.0 µm in 1 expanded sample. q Histogram of peak-
to-peak distances with normalized normal distribution curve (red) determined by fitting the cross-sectional profiles analyzed in (p) along n = 22
microtubule segments in 4 cells from 1 expanded sample showing a mean distance of 201.0 ± 12.9 nm (mean ± sd). The small logos in the upper left corner
symbolize the labeling method, e.g. pre- and post-immunolabeled with or without DNA-linker, respectively. Scale bars, 2 µm (b, f, j, n), 500 nm (c, g, k, o). Fig. 2 Pre-labeling Ex-dSTORM. a Simulated intensity profiles using a cylindrical distribution function to describe unexpanded or 3.2x expanded
immunostained microtubules (labeled with IgG antibodies or DNA modified IgG antibodies pre-expansion) and resulting peak-to-peak distances of the
cross-sectional profiles. b dSTORM image of expanded and re-embedded α- and β-tubulin pre-labeled with secondary Alexa Fluor 532 IgG antibodies
(Al532) using the MA-NHS/GA method6, i.e. antibodies are cross-linked with glutaraldehyde (GA) into the hydrogel (Antibody-Al532 (GA)). c Zoom in of
white boxed region in (b). NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 i Histogram of peak-to-pea
distances with normalized normal distribution curve (red) of the data analyzed in (h) along n = 7 microtubule segments in 2 cells from 1 experiment with
mean distance of 43.9 ± 3.7 nm (mean ± sd). j Expanded dSTORM image of microtubules labeled with α-tubulin and dsDNA (DNA-Al532) conjugated
secondary antibodies exhibiting a methacryloyl group to crosslink the DNA with fluorophores pre-expansion into the hydrogel (original ExM trifunction
label concept)1. k Zoom-in of white boxed region in (j). l Average intensity profile of 26 microtubule segments with a length of 2.4–10.7 µm and 118.6 µm
total. m Histogram of peak-to-peak distances with normalized normal distribution curve (red) determined from n = 26 microtubule segments in 4 ce
from 1 expanded sample showing a mean distance of 226.7 ± 15.3 nm (mean ± sd). n dSTORM image of α- and β-tubulin expanded according to the DN
Cy5 protocol strategy with labels at Cy5-bearing oligonucleotides introduced post-re-embedding. o Zoom in of white boxed region in (n). p Average
intensity profile of 15 microtubule segments with a length between 1.6–25.1 µm and a total length of 126.0 µm in 1 expanded sample. q Histogram of pea
to-peak distances with normalized normal distribution curve (red) determined by fitting the cross-sectional profiles analyzed in (p) along n = 22
microtubule segments in 4 cells from 1 expanded sample showing a mean distance of 201.0 ± 12.9 nm (mean ± sd). The small logos in the upper left corn
symbolize the labeling method, e.g. pre- and post-immunolabeled with or without DNA-linker, respectively. NATURE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 Scale bars, 2 µm (b, f, j, n), 500 nm (c, g, k, o b
pre
post a
Antibodies unexpanded (32.0 nm)
Antibodies pre-labeling (proExM/GA)
(143.0 nm)
DNA Cy5 unexpanded (41.5 nm)
DNA Cy5 expanded (202.0 nm)
DNA AI532 expanded (226.5 nm)
1.0
0.5
0.0
–150
–100
–50
0
Distance [nm]
Intensity [a.u.]
50
100
150 c 133.8 ± 13.2 nm
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–400
–200
–200
400
0
Distance [nm]
120
110
100
130 140 150
170
160
Peak-to-peak distance [nm]
d
e d 1.0
0.5
0.0
–150
–100
–50
0
Distance [nm]
Intensity [a.u.]
50
100
150 f g
133.8 ± 13.2 nm
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–200
200
0
Distance [nm]
Peak-to-peak distance [nm]
h
i
Unexpanded DNA-Cy5
30
35
40
45
50
55 g 1.0h pre
post
j k
DNA-AI532
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–400
–200
–200
400
0
Distance [nm]
210
195
180
225 240 255 270
Peak-to-peak distance [nm]
226.7 ± 15.3 nm
l
m k n n o n 1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–400
–200
–200
400
0
Distance [nm]
210
195
180
225 240 255 270
Peak-to-peak distance [nm]
226.7 ± 15.3 nm
l
m l q p Fig. 2 Pre-labeling Ex-dSTORM. a Simulated intensity profiles using a cylindrical distribution function to describe unexpanded or 3.2x expanded
immunostained microtubules (labeled with IgG antibodies or DNA modified IgG antibodies pre-expansion) and resulting peak-to-peak distances of the
cross-sectional profiles. b dSTORM image of expanded and re-embedded α- and β-tubulin pre-labeled with secondary Alexa Fluor 532 IgG antibodies
(Al532) using the MA-NHS/GA method6, i.e. antibodies are cross-linked with glutaraldehyde (GA) into the hydrogel (Antibody-Al532 (GA)). c Zoom in of
white boxed region in (b). d Averaged cross-sectional profile of 8 microtubule segments with a length between 1.5–6.4 µm and 28.6 µm in total measured
in 4 expanded cells. e Histogram of peak-to-peak distance distribution with normalized normal curve (red) of microtubule segments analyzed in (d) at n =
8 microtubule segments in 4 cells from 1 expansion experiment with a mean distance of 133.8 ± 13.2 nm (mean ± sd). f Unexpanded dSTORM image of
ssDNA-Cy5 secondary antibody hybridized with Cy5 bearing oligonucleotides pre-expansion (DNA-Cy5 protocol). g Magnified view of white boxed region
in (f). NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 Unexpanded,
microtubules labeled with primary and secondary IgG antibodies
exhibit a diameter of ~60 nm with a linkage error (defined by the
size of the primary and secondary antibody) of 17.5 nm22. For
example, for 3.3x expansion this translates into a microtubule
diameter of 3.3 × 25 nm = 82.5 nm whereas the diameter of the
immunolabeled microtubule is substantially broadened to ~198
nm because of the linkage error of 3.3 × 17.5 nm = 57.75 nm
introduced by the primary and secondary antibody that has to be
added to both sides of the microtubule (Supplementary Fig. 5). In
other words, even though SMLM achieves high localization
precisions12,13, a linkage error of > 50 nm undoes much, or even
all, of the gain in resolution. Next, we tested the original ExM protocol with trifunctional
DNA-modified secondary antibodies1, which can be labeled
with dye-functionalized complementary oligonucleotides that
contain an acrydite linker modification. Alternatively, anti-
bodies can be modified with a single stranded DNA that is
incorporated directly into the hydrogel. Antisense dye-labeled
oligonucleotides can then be hybridized after re-embedding of
the hydrogel, which enables the use of fluorophores that would
not survive the radical polymerization process. Since the
linkage error is mainly determined by the IgG antibodies and
the 40 bases long DNA strand (Supplementary Table 2) both
methods still belong to the pre-labeling Ex-SMLM method
(Supplementary Fig. 1). Pre- versus post-labeling Ex-SMLM. In order to reduce the
linkage error, we next explored post-labeling Ex-SMLM. It has
been shown that the fluorescence signals from some genetically
encoded FPs as well as conventional fluorescently labeled sec-
ondary antibodies and streptavidin that are directly anchored to
the gel are at least partially preserved by proExM even when
subjected to the strong nonspecific proteolytic digestion used in
the original ExM protocol1,5. Therefore, we anticipated that pro-
tein epitopes might survive the proExM protocol26. To compare
the labeling density of pre- and post-labeling Ex-SMLM we
immunostained microtubules with Alexa Fluor 532 before and
additionally after expansion. Intriguingly, combining pre- with
post-labeling resulted in a substantial shortening of the average
peak-to-peak distance of the sidewalls of microtubules to 79.5 ±
6.6 nm (mean ± s.d.) determined from dSTORM images (Fig. 3). We speculated that the protease digestion step may destroy a large
fraction of the pre-labeled antibody complexes but to our surprise,
the majority of tubulin epitopes survives this critical step. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 Toge-
ther with the increased accessibility of tubulin epitopes for pri-
mary antibodies and primary antibody epitopes for secondary
antibodies after expansion this results in peak-to-peak distances
undistinguishable from solely post-labeled microtubules. First, we tested the approach on unexpanded microtubules and
obtained peak-to-peak distances of 43.9 ± 3.7 nm (mean ± s.d.)
(Fig. 2f–i) and 37.0 ± 4.8 nm (mean ± s.d.) (Supplementary Fig. 6)
for labeling with Cy5- and Alexa Fluor 532-modified oligonu-
cleotides, respectively. These values are in good agreement with
the theoretically expected value of 41.5 nm for immunolabeling
with 42 bases long trifunctional oligonucleotide-modified sec-
ondary antibodies (Fig. 2a). Due to the additional modification of
the secondary antibodies, the peak-to-peak distances should be a
few nanometers larger than the value measured for standard
immunolabeled
microtubules
of
36.2 ± 5.4 nm
(mean ± s.d.)
(Fig. 1f–i). g
y
To examine more quantitatively epitope survival and increased
epitope accessibilities, we simulated the cross-sectional profiles
expected for pre- and post-labeled microtubules. Here we
assumed a ~10-fold signal dilution (3.22) for the 2D projection
of
the
fluorescence
signals
of
3.2x
expanded
pre-labeled
antibodies (Fig. 3e and Supplementary Fig. 5). Hence, the cross-
sectional microtubule profiles show the superposition of the
profile calculated for the 3.2x expansion of 25 nm diameter
microtubules post-immunolabeled and 60 nm diameter micro-
tubules pre-immunolabeled. The resulting superposition profile
shows a peak-to-peak distance of 79.5 nm (Fig. 3e) emphasizing
the advantage of post-labeling Ex-SMLM. Post-labeling Ex-
SMLM using the proExM protocol5 provides an improved
labeling efficiency and a reduced linkage error. In fact, the
immunolabeling
linkage
error
of
~58 nm
for
pre-labeling
reduces to ~5 nm for post-labeling considering a 3.2x expansion
factor and thus improves the effective achievable resolution
(Supplementary Fig. 8). g
If the oligonucleotide-modified secondary antibodies are labeled
with complementary Alexa Fluor 532-modified oligonucleotides
prior to expansion, we measured a peak-to-peak distance of 226.7
± 15.3 nm (mean ± s.d.) from dSTORM images (Fig. 2j–m). Since
Cy5 does not survive gelation1,3,5, we performed an additional
experiment labeling the oligonucleotide-modified secondary anti-
bodies after expansion with complementary Cy5-modified oligo-
nucleotides, performed dSTORM imaging in photoswitching
buffer and determined a slightly shorter peak-to-peak distance
of 201.0 ± 9.3 nm (mean ± s.d.) (Fig. 2n–q). Both values are in
excellent agreement with the theoretical peak-to-peak distance of
226.5 nm and 202 nm, respectively (Fig. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 dSTORM images of unexpanded and
expanded microtubules clearly showed a bimodal signal distribution
along the filaments, similar to that of previous super-resolution
microscopy studies (Fig. 1c, d and 1g, h)21,25. When the cross-
sectional profile of unexpanded microtubules was fit with a sum of
two Gaussians, the peak-to-peak distance between the sidewalls
showed a mean value of 36.2 ± 5.4 nm (mean ± s.d.) analyzed over
several microtubule filament segments (Fig. 1i). This value is expected for the projection of a 25 nm inner diameter cylinder that
has been broadened by primary and secondary antibodies on both
sides by 17.5 nm22 (Fig. 1a) and corresponds well to the simulated
peak-to-peak distance of 32.0 nm for unexpanded microtubules
(Fig. 2a and Supplementary Note 1). The mean peak-to-peak dis-
tance of proExM treated and expanded microtubules was deter-
mined to 137.1 ± 10.1 nm (mean ± s.d.) (Fig. 1e). This value
corresponds to an expansion factor of 3.1x determined from 4 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 ~14.3 nm) and, interestingly conformational differences between
single and double-stranded DNA linkers. simulation of expanded microtubules pre-labeled with primary and
secondary IgG antibodies (Supplementary Table 1). y g
pp
y
We next used the post-stain linker-group functionalization
method (MA-NHS/GA method)7 as an alternative pre-labeling
Ex-SMLM method. Here, the entire sample was functionalized
with polymer-linking groups after conventional immunostaining. The resulting dSTORM images showed a peak-to-peak distance
between the microtubule sidewalls of 133.8 ± 13.2 nm (mean ± s. d.) (Fig. 2b–e) corresponding to a simulated expansion factor of
3.0x (Supplementary Table 1). The determined peak-to-peak
distance is in good agreement with the peak-to-peak distance
determined from proExM expanded microtubules (Fig. 1b–e). Variations in the measured peak-to-peak distances can be well
explained by varying initial expansion factors of hydrogels which
are typically in the range of ~4.0–4.5x for the used ExM gel
composition. Considering a ~20% reduction in gel size caused by
re-embedding of the hydrogel, an ultimate expansion factor of
~3.1–3.6x can be expected which fits well with the determined
molecular expansion factors. g
Noteworthy is that the total size of an expanded sample is not
only determined by the biomolecule of interest, e.g. microtubules,
but also by the fluorescent probe, e.g. primary and secondary
antibodies, used to label the biomolecule of interest. NATURE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 f Histogram of peak-to-peak distances with
normalized normal curve (red) of fitted profiles analyzed in (e) with an average distance of 79.5 ± 6.6 nm (mean ± sd) analyzed along n = 11 microtubule
segments in 2 cells from 1 expanded sample. g Image projection of the xz-axes averaged along two microtubule filaments (iv) and (v) shown in (b) (red
dotted lines) using the “z projection analysis” of the software “Line Profiler”. h Cross-sectional profile (blue dots) of the xz-projection shown in (g). Using a
bi-Gaussian fit (red) the peak-to-peak distance is determined to 81.2 nm. Scale bars, 10 µm (a), 5 µm (b), 1 µm (c), 500 nm (d), 100 nm (g). d
iii a
b
c
pre
630
0
V
iV
i
i
ii
ii
z
[nm]
y
x
z
x
post d f
h
79.5 ± 6.6 nm
81.2 nm
1.0
0.5
Frequency [a.u]
0.0
1.0
0.5
Intensity [a.u.]
0.0
–150
–100
–50
100
50
150
0
Distance [nm]
70 75 80 85 90 95100
65
60
Peak-to-peak distance [nm] f
79.5 ± 6.6 nm
1.0
0.5
Frequency [a.u]
0.0
70 75 80 85 90 95100
65
60
Peak-to-peak distance [nm] f e
Intensity [a.u.]
1.0
0.5
0.0
–200 –100
100
200
0
Distance [nm] e h
81.2 nm
1.0
0.5
Intensity [a.u.]
0.0
–150
–100
–50
100
50
150
0
Distance [nm]
Peak to peak distance [nm] h g Fig. 3 3D post-labeling Ex-dSTORM. SMLM image of re-embedded and post-expansion labeled microtubules. a 3D dSTORM image of re-embedded Cos-7
cells expanded according to the Protein-Retention protocol (proExM)4 pre-labeled with anti α- and β-tubulin antibodies and additionally post-labeled with
anti α-tubulin. The secondary antibodies were labeled with Alexa Fluor 532 (proExM Al532). The small logo in the upper left corner symbolizes the labeling
method, e.g. pre- and post-immunolabeling with Al532 secondary antibodies. b Magnified view of highlighted region in (a). c xz-side view cross-sections
(white lines) (i) and (ii) shown in (b) revealing the hollow structure of microtubules. d Magnified view of highlighted region (white box) in (b). Since post-
labeling dominates the signal, the method is termed proExM Al532 (post-labeled). e Averaged cross-sectional profile (blue) of 11 analyzed microtubule
segments along a total of 28.2 µm filament (2.1–5.5 µm segments) of one expanded sample. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 2a), simulated for 3.2x
expanded microtubules taking into account the length of the 42
base pair trifunctional oligonucleotide, the position of fluoro-
phores within the DNA strand and its spatial orientation
(Supplementary Fig. 7 and Supplementary Note 1). The slightly
shorter peak-to-peak distance measured in the Cy5-experiment
where the dye-labeled complementary strand was hybridized after
expansion can be explained most likely by coiling of the single-
stranded trifunctional oligonucleotide during gelation (Supple-
mentary Fig. 7). These results indicate that Ex-SMLM can resolve
linker differences of 42 DNA base pairs (corresponding to pp
y
g
Therefore, dSTORM images of Alexa Fluor 532 labeled
microtubules clearly revealed the hollow cylinder of micro-
tubules (Fig. 3c) using a water-immersion objective and epi-
illumination, similar to recently published results obtained by
DNA-PAINT TIRF microscopy and experimental point spread
function fitting27. The average distance between the sidewalls of 5 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 a
b
e
f
g
h
d
c
pre
630
0
V
iV
i
i
ii
ii
iV/V
iii
z
[nm]
y
x
z
x
z
x
post
79.5 ± 6.6 nm
81.2 nm
1.0
0.5
Frequency [a.u]
0.0
Intensity [a.u.]
1.0
0.5
0.0
–200 –100
100
200
0
Distance [nm]
1.0
0.5
Intensity [a.u.]
0.0
–150
–100
–50
100
50
150
0
Distance [nm]
70 75 80 85 90 95100
65
60
Peak-to-peak distance [nm]
Fig. 3 3D post-labeling Ex-dSTORM. SMLM image of re-embedded and post-expansion labeled microtubules. a 3D dSTORM image of re-embedded Cos-7
cells expanded according to the Protein-Retention protocol (proExM)4 pre-labeled with anti α- and β-tubulin antibodies and additionally post-labeled with
anti α-tubulin. The secondary antibodies were labeled with Alexa Fluor 532 (proExM Al532). The small logo in the upper left corner symbolizes the labeling
method, e.g. pre- and post-immunolabeling with Al532 secondary antibodies. b Magnified view of highlighted region in (a). c xz-side view cross-sections
(white lines) (i) and (ii) shown in (b) revealing the hollow structure of microtubules. d Magnified view of highlighted region (white box) in (b). Since post-
labeling dominates the signal, the method is termed proExM Al532 (post-labeled). e Averaged cross-sectional profile (blue) of 11 analyzed microtubule
segments along a total of 28.2 µm filament (2.1–5.5 µm segments) of one expanded sample. The simulated cross-sectional profile for 3.2x proExM
expanded pre- and post-labeled microtubule assuming a pre- to post-labeling ratio of 0.1 is shown in red. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 4h) post-labeling 3D Ex-SMLM
clearly visualized the centriole as a bundle of nine microtubule
triplets. SMLM images of expanded isolated Chlamydomonas
centrioles showed the 9-fold symmetry of the procentrioles (Fig. 4b,
f) with tubulin diameters of ~220 nm in agreement with previous
studies2,30. Even in side views of centrioles imaged by 3D Ex-
dSTORM the neighboring microtubule triplets are clearly separated
(Fig. 4c). Furthermore, 3D Ex-dSTORM allowed us to resolve
ring-like sub-structures of centrioles indicating hollow cylinders
of microtubule triplets (Supplementary Fig. 11). According to
these results, re-embedding of the sample and dSTORM in
photoswitching buffer provides currently the best Ex-SMLM
performance. Since microtubule triplets separated by 15–20 nm30
are very well resolved in the expanded images post-labeling Ex-
SMLM exhibits a spatial resolution that is way below 15–20 nm
reaching the structural resolution required to resolve the molecular
architecture of centrioles. Post-labeling Ex-SMLM of centrioles. Motivated by the results,
we set out to explore the molecular organization of centriole
organelles by Ex-SMLM. We used isolated Chlamydomonas cen-
trioles, which have a characteristic 9-fold microtubule triplet-based
symmetry, forming a polarized cylinder ~ 500 nm long and ~ 220
nm wide28 (Supplementary Fig. 9). Recently2, U-ExM has been
developed as an extension of ExM that allows for near-native
expansion of organelles and multiprotein complexes and visuali-
zation of preserved ultrastructures by optical microscopy. When
combined with STED microscopy, details of the ultrastructural
organization of isolated centrioles such as the 9-fold symmetry and
centriolar chirality could be visualized2. Advantageously, U-ExM
uses post-labeling to improve the epitope accessibility after
expansion. Here, we used U-ExM treated centrioles in combination
with post-labeling with Alexa Fluor 647 secondary antibodies to
enable dSTORM imaging, which has previously be impossible
due to shrinking of expanded hydrogels in photoswitching
buffer. Therefore, samples were re-embedded and transferred
onto coverslips functionalized with acrydite via glass silanization to
minimize lateral drift. This allowed us to perform post-labeling
3D Ex-dSTORM on ~3.4x expanded centrioles (Fig. 4a–d and
Supplementary Fig. 10). NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 The simulated cross-sectional profile for 3.2x proExM
expanded pre- and post-labeled microtubule assuming a pre- to post-labeling ratio of 0.1 is shown in red. f Histogram of peak-to-peak distances with
normalized normal curve (red) of fitted profiles analyzed in (e) with an average distance of 79.5 ± 6.6 nm (mean ± sd) analyzed along n = 11 microtubule
segments in 2 cells from 1 expanded sample. g Image projection of the xz-axes averaged along two microtubule filaments (iv) and (v) shown in (b) (red
dotted lines) using the “z projection analysis” of the software “Line Profiler”. h Cross-sectional profile (blue dots) of the xz-projection shown in (g). Using a
bi-Gaussian fit (red) the peak-to-peak distance is determined to 81.2 nm. Scale bars, 10 µm (a), 5 µm (b), 1 µm (c), 500 nm (d), 100 nm (g). the xz-projection of a 6.5 µm long microtubule filament was
determined to 81.2 nm (Fig. 3g–h) highlighting the high spatial
resolution of pre-labeling 3D Ex-dSTORM. the xz-projection of a 6.5 µm long microtubule filament was
determined to 81.2 nm (Fig. 3g–h) highlighting the high spatial
resolution of pre-labeling 3D Ex-dSTORM. improved the blinking characteristics of HMSiR but reduced the
expansion factor to ~2x, which limits the spatial resolution of the
SMLM experiments (Fig. 4d, g). In contrast to 3D dSTORM images
of unexpanded centrioles (Fig. 4h) post-labeling 3D Ex-SMLM
clearly visualized the centriole as a bundle of nine microtubule
triplets. SMLM images of expanded isolated Chlamydomonas
centrioles showed the 9-fold symmetry of the procentrioles (Fig. 4b,
f) with tubulin diameters of ~220 nm in agreement with previous
studies2,30. Even in side views of centrioles imaged by 3D Ex-
dSTORM the neighboring microtubule triplets are clearly separated
(Fig. 4c). Furthermore, 3D Ex-dSTORM allowed us to resolve
ring-like sub-structures of centrioles indicating hollow cylinders
of microtubule triplets (Supplementary Fig. 11). According to
these results, re-embedding of the sample and dSTORM in
photoswitching buffer provides currently the best Ex-SMLM
performance. Since microtubule triplets separated by 15–20 nm30
are very well resolved in the expanded images post-labeling Ex-
SMLM exhibits a spatial resolution that is way below 15–20 nm
reaching the structural resolution required to resolve the molecular
architecture of centrioles. improved the blinking characteristics of HMSiR but reduced the
expansion factor to ~2x, which limits the spatial resolution of the
SMLM experiments (Fig. 4d, g). In contrast to 3D dSTORM images
of unexpanded centrioles (Fig. Discussion
l Electron microscopy has been the only viable method able
to reveal the ultrastructure of organelles and molecular complexes
for decades because of the diffraction limit of optical microscopy. Super-resolution microscopy offers up to ~10x higher resolution
than conventional diffraction-limited microscopy11,12. Improved
super-resolution
microscopy
methods
can
now
localize
single emitters with a precision of a few nanometers31–33, but
limitations in labeling efficiency and linkage error have thus
far prevented the translation of high localization precision into
sub-10-nm spatial resolution. Therefore, the spatial resolution
provided by all these inventive methods is currently still too low Alternatively, we used the spontaneously blinking Si-rhodamine
dye HMSiR29 that enables SMLM in the absence of photoswitching
buffer and does thus not require re-embedding. Using double-
deionized water, we achieved a molecular expansion factor of ~4x
(Fig. 4d–f and Supplementary Fig. 9). Unfortunately, since the pH
of double-deionized water is below 7.0, HMSiR does not exhibit
optimal blinking characteristics29. Addition of PBS buffer, pH 7.4 NATURE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunications 6 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 0.8
25–75%
IQR
1.5IQR
Mean
Median
(IQR-Interquartile range)
p<0.02
Diameter [μm]
0.7
0.6
0.5
0.4
0.3
AI647
MEA
HMSiR
PBS
HMSiR
Water
a
b
c
d
e
f
g
h
Fig. 4 Ex-SMLM of U-ExM expanded centrioles. a-c 3D dSTORM image of U-ExM expanded and re-embedded Chlamydomonas centrioles stained post re-
embedding with anti α-tubulin primary antibody and Alexa Fluor 647 conjugated secondary antibodies measured in MEA buffer. b Zoom-in on highlighted
region in (a) revealing the 9-fold symmetry of the shown procentriole. c Side view of two mature centrioles with clearly separated triplets. The inlet shows
the cross-sectional profile along the centriole (white box) showing five distinct peaks of microtubule triples (marked with arrow heads). d Comparison of
the diameters determined from expanded centrioles measured using different protocols (re-embedded and labeled with Alexa Fluor 647, and imaged in
MEA photoswitching buffer, labeled with HMSiR 647 and imaged in double-deionized water or in pH optimized PBS (1x) buffer with pH 7.4). Mean values
are 657 ± 90 nm (mean ± sd) for Alexa Fluor 647 in MEA buffer (n = 12 centrioles), 428 ± 74 nm (mean ± sd) for HMSiR in PBS (n = 7 centrioles), and 750
± 34 nm (mean ± sd) for HMSiR 647 in water (n = 8 centrioles). Data from n = 2 independent experiments for each condition. Discussion
l Divided by the previously
analyzed diameter of α-tubulin labeled centriole expansion factors translates into ~3.4x, ~2.2x, and ~3.9x for expanded centrioles labeled with Alexa Fluor
647 in MEA buffer, HMSiR in PBS (1x), and HMSiR 647 in water, respectively. Statistical significance was assessed by one-way ANOVA: the mean values
of the diameters are significantly different with p<0.02 (F = 3.80) (*P ≤0.05, **P ≤0.01). e–g 2D dSTORM image of U-ExM expanded centrioles labeled
with HMSiR 647 imaged in water (e–f) or PBS(1x) (g) f Zoom-in on highlighted region in (e). h 3D dSTORM image of unexpanded isolated Chlamydomonas
centrioles immunostained with antibodies against glutamylated tubulin and Alexa Fluor 647 conjugated secondary antibodies. Scale bars, 1 µm (a, e),
500 nm (b, f, g), 1.5 µm (c), 250 nm (h). 0.8
25–75%
IQR
1.5IQR
Mean
Median
(IQR-Interquartile range)
p<0.02
Diameter [μm]
0.7
0.6
0.5
0.4
0.3
AI647
MEA
HMSiR
PBS
HMSiR
Water
d c c d b a AI647
MEA
HMSiR
PBS
HMSiR
Water
h g f e f h g e Fig. 4 Ex-SMLM of U-ExM expanded centrioles. a-c 3D dSTORM image of U-ExM expanded and re-embedded Chlamydomonas centrioles stained post re-
embedding with anti α-tubulin primary antibody and Alexa Fluor 647 conjugated secondary antibodies measured in MEA buffer. b Zoom-in on highlighted
region in (a) revealing the 9-fold symmetry of the shown procentriole. c Side view of two mature centrioles with clearly separated triplets. The inlet shows
the cross-sectional profile along the centriole (white box) showing five distinct peaks of microtubule triples (marked with arrow heads). d Comparison of
the diameters determined from expanded centrioles measured using different protocols (re-embedded and labeled with Alexa Fluor 647, and imaged in
MEA photoswitching buffer, labeled with HMSiR 647 and imaged in double-deionized water or in pH optimized PBS (1x) buffer with pH 7.4). Mean values
are 657 ± 90 nm (mean ± sd) for Alexa Fluor 647 in MEA buffer (n = 12 centrioles), 428 ± 74 nm (mean ± sd) for HMSiR in PBS (n = 7 centrioles), and 750
± 34 nm (mean ± sd) for HMSiR 647 in water (n = 8 centrioles). Data from n = 2 independent experiments for each condition. Discussion
l By linking a protein of interest into a cross-linked
network of a swellable polyelectrolyte hydrogel, biological speci-
mens can be physically expanded allowing for sub-diffraction
resolution imaging on conventional microscopes1–10. However,
even in combination with super-resolution microscopy techni-
ques, spatial resolutions below ~20 nm have so far proven to be
very difficult to achieve by ExM16. Here, we have shown that re-
embedding of expanded hydrogels enables the use of standard
photoswitching buffers and dSTORM imaging of ~3.2x expanded
samples. Our results demonstrate that post-labeling ExM using
the proExM protocol5 or U-ExM2 provides solutions for the two
major limiting problems of improved super-resolution micro-
scopy, the labeling efficiency and linkage error. First, as shown for
microtubules, expansion of the sample increases the epitope
accessibility
and
thus
the
labeling
efficiency. Comparison
experiments demonstrated that post-labeling outperforms pre-
labeling several times in this regard (Fig. 3). Second, post-labeling
ExM reduces the linkage error proportionally to the expansion
factor. Hence, post-immunolabeling of 3.2x expanded micro-
tubules reduces the linkage error from 17.5 nm22 to ~5 nm
(Fig. 3). Since the linkage error also influences the localization
accuracy and thus the effective achievable resolution (Supple-
mentary Figs. 8 and 9)34,35 our findings are highly relevant. Very to unravel the composition and molecular architecture of protein
complexes or dense protein networks. Expansion microscopy
(ExM) represents an alternative approach to bypass the diffrac-
tion barrier. By linking a protein of interest into a cross-linked
network of a swellable polyelectrolyte hydrogel, biological speci-
mens can be physically expanded allowing for sub-diffraction
resolution imaging on conventional microscopes1–10. However,
even in combination with super-resolution microscopy techni-
ques, spatial resolutions below ~20 nm have so far proven to be
very difficult to achieve by ExM16. Here, we have shown that re-
embedding of expanded hydrogels enables the use of standard
photoswitching buffers and dSTORM imaging of ~3.2x expanded
samples. Our results demonstrate that post-labeling ExM using
the proExM protocol5 or U-ExM2 provides solutions for the two
major limiting problems of improved super-resolution micro-
scopy, the labeling efficiency and linkage error. First, as shown for
microtubules, expansion of the sample increases the epitope
accessibility
and
thus
the
labeling
efficiency. Comparison
experiments demonstrated that post-labeling outperforms pre-
labeling several times in this regard (Fig. 3). Second, post-labeling
ExM reduces the linkage error proportionally to the expansion
factor. Discussion
l Divided by the previously
analyzed diameter of α-tubulin labeled centriole expansion factors translates into ~3.4x, ~2.2x, and ~3.9x for expanded centrioles labeled with Alexa Fluor
647 in MEA buffer, HMSiR in PBS (1x), and HMSiR 647 in water, respectively. Statistical significance was assessed by one-way ANOVA: the mean values
of the diameters are significantly different with p<0.02 (F = 3.80) (*P ≤0.05, **P ≤0.01). e–g 2D dSTORM image of U-ExM expanded centrioles labeled
with HMSiR 647 imaged in water (e–f) or PBS(1x) (g) f Zoom-in on highlighted region in (e). h 3D dSTORM image of unexpanded isolated Chlamydomonas
centrioles immunostained with antibodies against glutamylated tubulin and Alexa Fluor 647 conjugated secondary antibodies. Scale bars, 1 µm (a, e),
500 nm (b, f, g), 1.5 µm (c), 250 nm (h). recently36,37, trifunctional linkers have been introduced that are
inert to polymerization, digestion and denaturation, and enable
direct covalent linking of target molecules and functional groups
to the hydrogel. Therefore, trifunctional linkers can retain a high
number of labels and fluorescence molecules available for post-
expansion imaging. However, since the target molecules are
labeled with primary and secondary antibodies or enzymatic tags
(e.g. SNAP-tags) functionalized with the trifunctional anchor
before expansion, linkage errors remain. The improved labeling
efficiency of post-labeling Ex-dSTORM in combination with
small (1.5 × 2.5 nm) camelid antibodies (“nanobodies”)38,39 and
10−20x expansion factors9,10 can thus pave the way for true
molecular resolution imaging of endogenous proteins with 1–5
nm spatial resolution. On the other hand, at such a small length
scale, distortions of the structure may occur. To realize more
homogeneous gel network structures, a new gelation method
based on a highly homogeneous expansion microscopy polymer
composed of tetrahedron-like monomers has been introduced40. The new tetra-gel polymer chemistry may introduce fewer spatial
errors than earlier versions, and enable molecular resolution post-
labeling Ex-dSTORM with reduced distortion. Nevertheless,
already ~3x Ex-SMLM can resolve small linker length and con-
formational differences between labeling approaches as shown
here for oligonucleotide-functionalized secondary antibodies
(Fig. 2). In addition, we have shown that post-labeling 3D Ex-
dSTORM exhibits excellent structure preservation and already to unravel the composition and molecular architecture of protein
complexes or dense protein networks. Expansion microscopy
(ExM) represents an alternative approach to bypass the diffrac-
tion barrier. Methods Reagents. Acetic acid (A6283, Sigma), Acrylamide (AA, 40%, A4058, Sigma),
Acryloyl-X, SE, 6-((acryloyl)amino)hexanoic Acid, Succinimidyl Ester (A20770,
Thermo Fisher), Agarose (A9539, Sigma), Ammonium persulfate (APS, A3678,
Sigma), Bind Silane (GE17-13330-01, Sigma), Bovine Serum Albumin (BSA,
A2153, Sigma), Cysteamine hydrochloride (MEA, 6500, Sigma), Dextran sulfate
(D8906, Sigma), DMEM/HAM’s F12 with L-glutamine (Sigma, D8062), Ethanol
(absolute, ≥99.8%, 32205, Sigma), Ethylenediaminetetraacetic acid (E1644, Sigma)
h l
l
l b (
h l h )
′
′
d ( Ethylene glycol-bis(2-aminoethylether)-N,N,N′,N′-tetraacetic acid (EGTA,
03777, Sigma), 10% FBS (Sigma, F7524), Formaldehyde (FA, 36.5-38%, F8775,
Sigma), Glutaraldehyde (GA, 25%, G5882, Sigma), Guanidine hydrochloride
(50933, Sigma), 2-(N-morpholino)ethanesulfonic acid (MES, M3671, Sigma), N,N
′-methylen-bisacrylamide (BIS, 2%, M1533, Sigma), N,N,N′,N y
y
(
g
)
′-Tetramethylethylenediamine (TEMED, T7024, Sigma), Poly-D-lysine
hydropromide (P6407, Sigma), Polyoxyethylene (20) sorbitan monolaurate
solution (Tween-20, 10%, 93774, Sigma), Potassium hydroxide (P5958, Sigma). P
t i
K (P4850 Si
) S li
di
it
t b ff
(SSC 20
15557 y
y
g
′-Tetramethylethylenediamine (TEMED, T7024, Sigma), Poly-D-lysine
hydropromide (P6407, Sigma), Polyoxyethylene (20) sorbitan monolaurate
solution (Tween-20, 10%, 93774, Sigma), Potassium hydroxide (P5958, Sigma). P
i
K (P
Si
) S li
di
i
b ff
(SSC Proteinase K (P4850, Sigma), Saline sodium citrate buffer (SSC,20x, 15557,
Thermo Fisher), Sodium acrylate (SA, 97-99%, 408220, Sigma), Sodium chloride
(NaCl, S7653, Sigma), Sodium dodecyl sulfate (SDS, L3771, Sigma), streptomycin
(0.1 mg/ml) (Sigma, R8758), Tris base (T6066, Sigma), Triton X-100 Surfact-Amps
Detergent Solution (10% (w/v), 28313, Thermo Fisher), Yeast tRNA (AM7119,
Thermo Fisher). Proteinase K (P4850, Sigma), Saline sodium citrate buffer (SSC,20x, 15557,
Thermo Fisher), Sodium acrylate (SA, 97-99%, 408220, Sigma), Sodium chloride
(NaCl, S7653, Sigma), Sodium dodecyl sulfate (SDS, L3771, Sigma), streptomycin
(0.1 mg/ml) (Sigma, R8758), Tris base (T6066, Sigma), Triton X-100 Surfact-Amps
Detergent Solution (10% (w/v), 28313, Thermo Fisher), Yeast tRNA (AM7119,
Thermo Fisher). Protein Retention protocol (proExM protocol). Blocking and immunostaining
were performed as described under “Immunostaining of unexpanded Cos-7 cells”
incubating anti-α-tubulin antibody (ab1825, diluted 1:500, cend = 2 µg/ml) and
anti-ß-tubulin (T8328, diluted 1:200, cend = 10 µg/ml) simultaneously in blocking
buffer as primary antibodies and Alexa Fluor 532 IgG antibodies (A-11002 and A-
1109, each diluted 1:200 to cend = 10 µg/ml) diluted in blocking buffer as secondary
antibodies.For copolymerization of amine groups into the hydrogel, cells were
treated with the amine reactive agent Acryloyl X-SE (0.1 mg/ml) in PBS. Methods The agent
was freshly prepared from desiccated stock aliquots kept at −20 °C, incubated
overnight in a humidified chamber, and subsequently washed twice for 15 min each
in PBS (1x). Hydrogel formation, Proteinase K digestion and expansion in water
were performed as described under “ExM protocol”. After re-embedding of
expanded hydrogels as described in section “Bind-silane treatment and re-
embedding”, samples were labelled with α-tubulin primary antibody solution
(ab1825, diluted 1:500, cend = 2 µg/ml) in 2% BSA for 3 h at 37 °C and then washed
twice with 0.01% Tween in PBS for 20 min each and twice with PBS (1x) for 10 min
each. Secondary antibodies were incubated for 3 h at 37 °C and washed twice with
0.01% Tween in PBS for 30 min each and twice with PBS (1x) for 30 min followed
by a washing step over night in PBS (1x). Antibodies and labeling reagents. Rabbit anti α-tubulin antibody (ab18251,
abcam), Mouse anti β-tubulin antibody (T8328, Sigma), Mouse anti poly-
glutamylated tubulin, mAb (GT335) (Adipogen, AG-20B-0020), Alexa Fluor 647 F
(ab‘)2 of goat anti rabbit IgG (A-21246, Thermo Fisher), Alexa Fluor 647 F(ab‘)2 of
goat anti mouse IgG (A-21235, Thermo Fisher, Al532-Goat anti Rabbit IgG (H+L)
(A-11009, Thermo Fisher), Al532-Goat anti Rabbit IgG (H +L) (A-11002, Thermo
Fisher), HMSiR 647 (A208-01, MoBiTec) conjugated to goat anti rabbit IgG F(ab‘)2
(SAB3700946, Sigma), TetraSpeck Microspheres (0.1 µm, T27279, Thermo Fisher). Chlamydomonas reinhardtii centriole isolation. Centrioles were isolated from the
cell wall-less Chlamydomonas reinhardtii strain CW15 by centrifugation at 600g for
10 min in 50 ml conical tubes41. Isolated centrioles were thawed on ice and diluted
with cold K-Pipes 10 mM pH 7.2. Centrioles were then loaded in a 15 ml Corex
tube with a homemade adaptor and concentrator, and spun onto a 12 mm Poly-D-
lysine coated coverslip through centrifugation at 10,000g for 10 min with a JS-
13.1 swinging bucket rotor (Beckman) at 4 °C. Coverslips were then processed for
immunostaining and expansion microscopy. ExM protocol with glutaraldehyde linker (ExM-GA protocol). Blocking and
immunostaining were performed as described under “Immunostaining of unex-
panded Cos-7 cells” using α- (ab1825, diluted 1:500, cend = 2 µg/ml) and ß-tubulin
(T8328, diluted 1:200, cend = 10 µg/ml) antibodies as primary antibodies and a
mixture of Alexa Fluor 532 IgG secondary antibodies (A-11002 and A-1109, each
diluted 1:200 to cend = 10 µg/ml) in blocking buffer. Methods Cells
were then fixed and permeabilized simultaneously incubating a primary fixative
solution of 0.3% glutaraldehyde and 0.25% Triton X-100 in CB-buffer for 90 s
followed by a second fixation using 2% glutaraldehyde in CB-buffer for 10 min. Fixation was stopped by a 7 min reduction step with freshly prepared 0.5% NaBH4
in PBS. Specimen were then washed three times with PBS (1x) for 5 min each and
treated differently depending on subsequent expansion method described below. l
h
d ll
b
d DNA label with Cy5 (DNA-Cy5 protocol). Blocking and immunostaining were
performed as described under “ExM protocol” with a mixture of primary α- and
ß-tubulin antibodies (ab1825 diluted 1:500 with 2 µg/ml and T8328 diluted 1:200
with 10 µg/ml) and DNA conjugated secondary antibodies “Antibody B Cy5” or
“Antibody C Cy5” in hybridization buffer that were then directly incorporated into
the hydrogel. Hydrogel formation, proteinase K digestion and expansion were
performed as described under “ExM protocol”. After re-embedding on 24-mm
silanized round coverslips samples were incubated over night with Cy5 antisense
oligos with a DNA concentration of 0.5 ng/µl for each oligo in hybridization buffer. y
p
g
q
p
Unless otherwise stated all incubations were carried out at room temperature in
the following protocols. Immunostaining was either performed pre-gelation
(referred to as pre-labeling), post-expansion (post-labeling) or post-re-embedding
(post re-embedding labeling). Sequences and modifications of DNA labels are listed
in Supplementary Table 2. A list of primary and secondary antibodies used for
immunostaining in the corresponding Figures is provided in Supplementary
Table 3 and Supplementary Table 4 with details about the expansion protocol used. Ultrastructure expansion microscopy (U-ExM). Twelve millimeters cover glasses
with isolated2 centrioles were placed in a solution containing 0.7% FA, 1% AA
diluted in PBS (1x). Next, 35 µl of pre-chilled U-ExM monomer solution (19% (w/
w) SA, 10% (w/w) AA, 0.1% (w/w) BIS) supplemented with 0.5% APS and 0.5%
TEMED in PBS for 1 min on a parafilm coated plate put on ice. Gelation proceeded
for 1 h at 37 °C in a humidified chamber. Samples were placed in denaturation
buffer (200 mM SDS, 200 mM NaCl in 50 mM Tris (pH 9.0)) for 15 min and then
gels were carefully removed from the cover glasses and transferred to 1.5 ml cen-
trifuge tubes filled with denaturation buffer. ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 3.4x expansion using standard protocols can provide a sufficient
structural resolution to resolve details of the molecular archi-
tecture of centrioles (Fig. 4 and Supplementary Fig. 11). ExM protocol using DNA trifunctional labels (ExM protocol). After blocking
with 5% BSA in PBS for 1 h, cells were incubated with anti-alpha tubulin primary
antibody (ab1825, diluted 1:500, cend = 2 µg/ml) in blocking buffer (5% BSA in
PBS) for 1 h, followed by three washes in PBS (1x) for 5 min each and incubation of
“Antibody B” DNA-labeled secondary antibodies (10 µg/ml) in hybridization
buffer (2x saline sodium citrate (SSC), 10% dextran sulfate, 1 mg/ml yeast tRNA,
5% BSA) for 3 h. Antisense DNA B1-Alexa Fluor 532 and DNA B2-Alexa Fluor
532 oligos were hybridized simultaneously at a total DNA concentration of 1.0 ng/
µl for 3 h in hybridization buffer. Then samples were washed three times with PBS
(1x) for 10 min each.Gelation was performed on the lid of a 4-well cell culture plate
put on ice and covered with parafilm that served as a flat hydrophobic gelation
surface. 18 mm cover glasses with cells facing down were placed on top of 90 µl
pre-chilled ExM monomer solution (8.625% (w/w) SA, 20% (w/w) AA, 0.15%
(w/w) BIS, 2 M NaCl in PBS) supplemented with 0.2% APS and 0.2% TEMED. Samples were then carefully transferred to a humidified chamber and incubated for
1.5 h at 37 °C for chemical crosslinking of acrylic monomers and trifunctional
labels. After gelation samples were treated with 8 U Proteinase K in digestion buffer
(50 mM Tris (pH 8.0), 0.5% TritonX-100, 0.8 M guanidine hydrochloride, 1 mM
EDTA) and then expanded in double-deionized water. Water was exchanged
several times until the maximum expansion factor of the hydrogel was reached. The expansion factor was determined by measuring the diameter of the gel using a
calipser. When the expansion factor did not change within three water exchanges
this factor was assumed as maximum expansion of the hydrogel. Methods After washing with PBS (1x),
cells were incubated with 0.25% GA in PBS for 10 min and washed thrice in PBS
(1x) for 5 min each before proceeding with gelation of the samples. Gelation,
digestion, and expansion was performed as described under “ExM protocol”. Cell culture of mammalian cells. COS-7 monkey kidney cells (purchased
from CLS Cell Line Servie GmbH) were cultured at 37 °C and 5% CO2 in
DMEM/HAM’s F12 medium with L-glutamine containing FBS (10%) and peni-
cillin (100 U/ml) and streptomycin (0.1 mg/ml). 20–30,000 cells per well were
seeded on round 18 mm high precision cover glasses (No 1.5) in 12-well culture
plates (Techno Plastic Products, 92012) and grown for 24 h prior to fixation. Sample preparation. For fixation, all solutions were pre-warmed to 37 °C and
fixation was conducted on a heating plate set to 37 °C. Right before fixation
samples were rinsed once with pre-warmed Cytoskeleton buffer (CB-buffer, 10 mM
MES, 150 mM NaCl, 5 mM EGTA, 5 mM glucose and 5 mM MgCl2, pH 6.1). Cells
were then fixed and permeabilized simultaneously incubating a primary fixative
solution of 0.3% glutaraldehyde and 0.25% Triton X-100 in CB-buffer for 90 s
followed by a second fixation using 2% glutaraldehyde in CB-buffer for 10 min. Fixation was stopped by a 7 min reduction step with freshly prepared 0.5% NaBH4
in PBS. Specimen were then washed three times with PBS (1x) for 5 min each and
treated differently depending on subsequent expansion method described below. Unless otherwise stated all incubations were carried out at room temperature in
the following protocols. Immunostaining was either performed pre-gelation
(referred to as pre-labeling), post-expansion (post-labeling) or post-re-embedding
(post re-embedding labeling). Sequences and modifications of DNA labels are listed
in Supplementary Table 2. A list of primary and secondary antibodies used for
immunostaining in the corresponding Figures is provided in Supplementary
Table 3 and Supplementary Table 4 with details about the expansion protocol used. Sample preparation. For fixation, all solutions were pre-warmed to 37 °C and
fixation was conducted on a heating plate set to 37 °C. Right before fixation
samples were rinsed once with pre-warmed Cytoskeleton buffer (CB-buffer, 10 mM
MES, 150 mM NaCl, 5 mM EGTA, 5 mM glucose and 5 mM MgCl2, pH 6.1). Discussion
l Hence, post-immunolabeling of 3.2x expanded micro-
tubules reduces the linkage error from 17.5 nm22 to ~5 nm
(Fig. 3). Since the linkage error also influences the localization
accuracy and thus the effective achievable resolution (Supple-
mentary Figs. 8 and 9)34,35 our findings are highly relevant. Very 7 TURE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunications 7 ARTICLE Therefor fluorescent marker stock supension
(0.1 µm, ~1.8 × 1011 particles/mL, TetraSpeck Microspheres, Thermo Fisher) was
vortexed for ~1 min and then diluted 1:50 in the corresponding monomer solution. After adding TEMED and APS in the appropriate concentrations, the bead-gel
solution was vortexed again for ~ 20 s, polymerized, and expanded as described
under the respective expansion protocol (omitting the digestion or denaturation
step). The expanded gels were then transferred on poly-L-lysine (0.1%) coated
coverslips and additionally embedded in 1% (w/v) Agarose. 4 µm z-stacks of several
fluorescent markers dispersed in the hydrogel ~50–400 µm above the coverslip
were recorded and used to generate 3D calibration curves as described below. The
software Micro-manager 1.4 was used for image acquisition and to control the
piezo driven stage. Re-embedding of expanded hydrogels (Re-embedding protocol). To avoid
shrinking caused by dSTORM photoswitching buffer and to prevent drifting of the
hydrogel during image acquistion an uncharged acrylamide gel was crosslinked
throughout the hydrogel while chemically binding it on Bind-silane treated cover
glasses. Round 24-mm cover glasses (high precision) were sonicated successively in
double-deionized water, absolute ethanol and 5 M potassium hydroxide for 20 min
each and washed with deionized water between every sonication step and finally
oven dried at 100 °C. 200 µl of Bind-silane working solution (5 µl Bind-Silane in 8
ml absolute ethanol, 200 µl glacial acetic acid, 1.8 ml double deionized water) were
distributed evenly on cleaned 24-mm cover glasses and left for around 1 h until the
solution was fully evaporated. Cover glasses were then rinsed with doubly deio-
nized water and air-dried. Glasses were prepared shortly before use. For re-
embedding expanded hydrogels were placed in 6-well cell culture plates and each
sample was covered with 3 ml of freshly prepared Re-embedding solution (10%
acrylamide, 0.15% bis-acrylamide, 0.05% APS, 0.05% TEMED in 5 mM Tris (pH
8.9)). Samples were incubated on a platform shaker twice with freshly prepared
solution for 30 min each. Shaking of the Re-embedding solution is crucial in this
step as it brings oxygen into the solution that prevents it from gelling to early. The
stirring speed should be adjusted so that the liquid is in motion but the gels are not
damaged. After the second incubation, samples were transferred on silanized
coverglasses while carefully removing excess solution from the hydrogels using
laboratory wipes. ARTICLE Furthermore, a deformation vector field of pre-expansion and post re-
embedding RCM images was created using elastix and transformix6. Elastix and
transformix code were executed in Wolfram Mathematica 11.2. Microscopes. Single-molecule localization microscopy (SMLM) image acquisition
was performed on a custom-built setup with an inverted Zeiss Axio Observer Z1
(Carl Zeiss Microscopy) microscope equipped with a Definite Focus autofocusing
system. For excitation of different fluorescent molecules the setup provides three
iBeam smart diode lasers with 405 nm (100 mW output power), 488 nm (200 mW
output power) and 640 nm (150 mW output power) and a DPSS (diode pumped
solid state) 532 nm laser (gem532, Laserquantum). Lasers were filtered with laser
clean-up filters according to the specific wavelength and focused on the back focal
plane of the objective to achieve a wide field illumination. To match the aqueous
refractive index of expanded samples a water-immersion objective (LD C- p
p
j
(
Apochromat 63x/1.15 W Corr M27, Carl Zeiss Microscopy) is implemented in the
microscope. The excitation light passes a quad-band dichroic beam splitter (Di01-
R405/488/532/635-25×36, BrightLine) combined with a quad-band rejection filter
(ZET405/488/532/642 m, Chroma). For recording the emission of excited fluor-
ophores the setup is equipped with two Andor Ixon Ultra 897 EMCCD (electron-
multiplying charge-coupled device) cameras at the side port of the microscope. The software Andor Solis (Version 4.28.30014) was used to control the EMCCD
cameras. The fluorescence light is parallelized through a 160 mm achromatic lens
(Thorlabs) and can be spectrally separated by a 630 DCXR (Chroma) dichroic
beam splitter. In this configuration, two different emission wavelengths can be
focussed on two cameras arranged perpendicular to each other. For all dSTORM
measurement in this work the beam splitter was removed and the emission light
was directed to one camera. Suitable emission light filters were placed in front of
the camera depending on the detected fluorescent wavelength. For 3D imaging, an
additional achromatic cylindrical lens (f = 250 mm, Thorlabs) was placed in the
detection path close to the imaging plane before the relay system. Rescanning
confocal imaging (RCM) was performed on a Nikon TiE inverted microscope
equipped with an RCM unit (Confocal.nl) that is based on the image scanning
principle42. The setup was operated by the microscope software NIS-Elements
(version 4.6). Analysis of microtubule transversal profiles. ARTICLE Another coverglass that was not silanized was placed on top of
the hydrogels during the following steps. The whole setup was transferred to a
humidified container equipped with gas injection holes. To accelerate gelation
oxygen was extracted from the container by purging the chamber with nitrogen for
15 min. The samples were then incubated at 37 °C for 2 h. After polymerization of
the re-embedding gel samples were washed at least thrice for 30 min in double
deionized water. Coverglasses on top of the hydrogel come off themselves during
washing or can be detached carefully after the first washing steps. Re-embedded
gels were then placed in imaging buffer or staining buffer depending on the sub-
sequent protocol. Image processing. For 2D and 3D dSTORM image reconstruction super-
resolution images were analyzed, post-processed and visualized using the analysis
platform SMAP (Superresolution Microscopy Analysis Platform) with the GPU
based 3D fitter fit3Dcspline27 and the ImageJ plugin ThunderSTORM43. The
respective integrated calibration tools were used for generating 3D astigmatism
calibration curves. Localizations were further corrected for drift using the cross-
correlation method, filtered for molecules with poor precision and grouped to one
localization when molecules appeared in several consecutive images. Expansion factor determination. Centriole diameters of U-ExM expanded sam-
ples were determined by averaging peak-to-peak distances of two cross-sectional
profiles that were drawn through the center of the ninefold-symmetrical α-tubulin
signal using the line profile tool of Fiji44. Peaks were then determined by using the
peakfinder minitool implemented in the analyse software Origin (OriginLab,
Northampton, MA). To determine the expansion factor post-expansion and post-
re-embedding, Cos-7 cells were labeled with a-tubulin and ß-tubululin and
expanded according to the “proExM protocol”. An additional post-expansion
immunostaining for α-tubulin was performed using the same primary and sec-
ondary antibodies. RCM images of the same cells were acquired before gelation,
after expansion and after re-embedding in different imaging buffers. Images were
then registered via rigid (similarity) and non-rigid registration (B-spline) using the
open source, command-line program elastix6. The transform parameters of the
similarity transformation of pre- and post-expansion RCM images were used to
determine the initial expansion factor of the sample. RCM images acquired post-re-
embedding in PBS (1x) and cysteamine hydrochloride as well as a dSTORM image
in photoswitching buffer of the same area were registered in the same way using
elastix to determine the expansion factor after re-embedding in different imaging
buffers. ARTICLE ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 1:200, cend = 10 µg/ml) diluted in 2% BSA were incubated 3 h at 37 °C followed by
two washing steps in 0.01% Tween in PBS for 30 min each and two washes with
PBS (1x) for 30 min. Before imaging gels were washed once more overnight in PBS
(1x). For imaging of unexpanded centrioles the primary antibody anti poly-
glutamylated tubulin (Adipogen, 1:500) was diluted in 5% BSA in PBS and incu-
bated for 1 h at room temperature, washed thrice in PBS for 5 min each, followed
by incubation with secondary Alexa Fluor 647 F(ab‘)2 antibodies (A-21246, 1:200,
cend = 10 µg/ml) diluted in 2% BSA for 1 h. The samples were then washed twice in
0.01% Tween in PBS and once in PBS for 10 min each. 1:200, cend = 10 µg/ml) diluted in 2% BSA were incubated 3 h at 37 °C followed by
two washing steps in 0.01% Tween in PBS for 30 min each and two washes with
PBS (1x) for 30 min. Before imaging gels were washed once more overnight in PBS
(1x). For imaging of unexpanded centrioles the primary antibody anti poly- use. The hydrogel was incubated in photoswitching buffer twice for 20 min each
before imaging. U-ExM treated samples labeled with the spontaneously blinking Si-
rhodamine dye HMSiR were immobilized on Poly-L-lysine (0.1%) coated 24-mm
high-precision cover glasses and additionally embedded in 1% (w/v) Agarose. As
imaging buffer, double deionized water or pH adjusted PBS buffer (1x, pH 7.4) was
used. For unexpanded dSTORM imaging samples were placed in 100 mM MEA in
PBS adjusted to pH 7.5 (with KOH) for DNA-Cy5 and Streptavidin-Alexa Fluor
647 and pH 7.9 (with KOH) when using Alexa Fluor 532. g
g
p
p
y
y
p y
glutamylated tubulin (Adipogen, 1:500) was diluted in 5% BSA in PBS and incu-
bated for 1 h at room temperature, washed thrice in PBS for 5 min each, followed
by incubation with secondary Alexa Fluor 647 F(ab‘)2 antibodies (A-21246, 1:200,
cend = 10 µg/ml) diluted in 2% BSA for 1 h. The samples were then washed twice in
0.01% Tween in PBS and once in PBS for 10 min each. 3D dSTORM calibration. To obtain 3D calibration curves, fluorescent beads were
mixed in U-ExM or ExM monomer solution for 3D image acquisitions of U-ExM
or ExM samples, respectively. Methods Hydrogels were then incubated for
30 min at 95 °C and then expanded in double deionized water until the maximum
expansion of the gels were reached. After re-embedding on Bind-silane treated
24-mm cover glasses, centrioles were labelled with anti alpha-tubulin primary
antibodies (ab1825, cend = 2 µg/ml) diluted 1:500 in 2% BSA in PBS for 3 h at 37 °C,
washed twice with 0.01% Tween in PBS for 20 min each and twice with PBS (1x)
for 10 min each. Next, secondary Alexa Fluor 647 F(ab‘)2 antibodies (A-21246, Immunostaining of unexpanded Cos-7 cells. Cells were placed in blocking buffer
(5% BSA in PBS) for 1 h and then incubated for 1 h with anti-alpha tubulin
primary antibody solution (ab1825, diluted 1:500, final concentration cend = 2 µg/
ml) diluted in blocking buffer. Samples were washed thrice in PBS (1x) for 5 min
each and incubated with secondary Alexa Fluor 532 IgG antibody solution in
blocking buffer (A-11002, diluted 1:200, cend = 10 µg/ml) for 1 h followed by three
washes in PBS (1x) for 10 min each. NATURE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunications 8 NATURE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 (optimal for profiles containing a dip). (optimal for profiles containing a dip). 14. Wang, Y. et
i 14. Wang, Y. et al. Combined expansion microscopy with structured illumination
microscopy for analyzing protein complexes. Nat. Protoc. 13, 1869–1895
(2018). ð3Þ TriGaussian : y ¼ h1e
ðx c1Þ
2w2
1
þ h2e
ðx c2Þ
2w2
2
þ h3e
ðx c3Þ
2w2
3
þ
(optimal for profiles exhibiting a dip and high background signal). 15. Gao, M. et al. Expansion stimulated emission depletion microscopy
(ExSTED). ACS Nano 12, 4178–4185 (2018). Cylinder : y ¼
h
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
r2
2 ðx cÞ2
q
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
r2
1 ðx cÞ2
q
; if x
k k<r1
h
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
r2
2 ðx cÞ2
q
; if x
k k ≥r1; x
k k<r2
0; else
8
>
>
>
>
>
<
>
>
>
>
>
: 16. Xu, H. et al. Molecular organization of mammalian meiotic chromosome axis
revealed by expansion STORM microscopy. Proc. Natl Acad. Sci. USA 116,
18423–18428 (2019). ð4Þ 17. Shannon, C. E. Communication in the presence of noise. Proc. IEEE Inst. Electr. Electron Eng. 37, 10–21 (1949). g
18. Baddeley, D. & Bewersdorf, J. Biological insight from super-resolution
microscopy: what we can learn from localization-based images. Annu. Rev. Biochem 87, 965–989 (2018). (y describes the theoretical intensity profile of microtubules where r1 and r2 denote
the inner and outer cylinder radius. The quality of the fit strongly depends on the
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function.) (
)
19. Legant, W. R. et al. High-density three-dimensional localization microscopy
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ferent expansion protocols we developed a home written software that detects fiber
like structures and automatically determines the transversal profile along these
structures in reconstructed SMLM images. In detail the SMLM images are first
convolved with a Gaussian blur compensating for noise discontinuity or holes. A thresholding algorithm45 then converts the image from grayscale to binary. Using Lees algorithm46 the expanded lines are reduced to one pixel width. The
pixel coordinates from all still connected lines are then retrieved and tested for
continuity. Points of discontinuity are used as breakpoints and all following
coordinates are connected to a new line. Lines, shorter than the minimum required
length are discarded. An univariate spline of degree 3 (c-spline) is fitted to each
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each coordinate point. The averaged profiles for each spline are fitted with the
following functions (Eqs. (1–5)): Gaussian : y ¼ he
ðxcÞ2
2w2
þ b
ð1Þ Gaussian : y ¼ he
ðxcÞ2
2w2
þ b ð1Þ Mounting and SMLM image conditions. Re-embedded hydrogels immobilized on
24-mm cover glasses were immersed in photoswitching buffer consisting of
100 mM cysteamine hydrochloride (MEA) in PBS with optimized pH (adjusted
with KOH) depending on the utilized fluorescent dye. For Alexa Fluor 647 and Cy5
fluorophores, the pH of the imaging buffer was adjusted to pH 7.7 and to pH 7.9
when using Alexa Fluor 532, respectively. The buffer was prepared freshly before (where h is the intensity, c the center, b the offset, and w the variance of the
distribution. Optimal for single profiles). (where h is the intensity, c the center, b the offset, and w the variance of the
distribution. Optimal for single profiles). BiGaussian : y ¼ h1e
ðxc1Þ2
2w2
1
þ h2e
ðxc2Þ2
2w2
2
þ b ð2Þ 9 ARTICLE Code availability 28. Hamel, V. et al. Identification of chlamydomonas central core centriolar
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2486–2498 (2017). The automated image processing software Line Profiler is available at https://line-profiler. readthedocs.io/en/latest/. The automated image processing software Line Profiler is available at https://line-profiler. readthedocs.io/en/latest/. 29. Uno, S. N. et al. A spontaneously blinking fluorophore based on
intramolecular spirocyclization for live-cell super-resolution imaging. Nat. Chem. 6, 681–689 (2014). Received: 14 April 2020; Accepted: 5 June 2020; Received: 14 April 2020; Accepted: 5 June 2020; Author contributions F.U.Z., S.R., D.G., T.D.M.B., V.H., P.G., and M.S. conceived and designed the project. M.S, V.H., and P.G supervised the project. F.U.Z. performed all Ex-SMLM experiments. S.R. developed Line Profiler and analyzed the data together with F.U.Z., D.G. provided
the centriole samples. All authors wrote and revised the final manuscript. Acknowledgements The authors thank P. Gessner and L. Behringer-Pliess for assistance in immunocy-
tochemistry and cell culture preparation. This work was supported by the German
Research Foundation (DFG, TRR 166 ReceptorLight, project A04) and the European
Regional Development Fund (EFRE project “Center for Personalized Molecular Immu-
notherapy”). This work is supported by the European Research Council (ERC; StG
715289 ACCENT to P.G.) and the Swiss National Science Foundation (SNSF)
PP00P3_187198 to P.G. 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 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/. ARTICLE ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-17086-8 Additional information Correspondence and requests for materials should be addressed to V.H., P.G. or M.S. Correspondence and requests for materials should be addressed to V.H., P.G. or M.S. 46. Lee, T. C., Kashyap, R. L. & Chu, C. N. Building skeleton models via 3-D
medial surface/axis thinning algorithms. Computer Vis. Graph. Image Process. 56, 462–478 (1994). Peer review information Nature Communications thanks the anonymous reviewer(s) for
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data analysis and super-resolution imaging. Bioinformatics 30, 2389–2390
(2014). 13. Halpern, A. R., Alas, G. C. M., Chozinski, T. J., Paredez, A. R. & Vaughan, J. C. Hybrid structured illumination expansion microscopy reveals microbial
cytoskeleton organization. ACS Nano 11, 12677–12686 (2017). 10 NATURE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunicatio Additional information 44. Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012). 44. Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012). Supplementary information is available for this paper at https://doi.org/10.1038/s41467-
020-17086-8. 45. Otsu, N. A threshold selection method from grey level histograms. IEEE
Trans. Syst. Man Cybernetics 9, 62–66 (1979). Competing interests © The Author(s) 2020 The authors declare no competing interests. 11 NATURE COMMUNICATIONS | (2020) 11:3388 | https://doi.org/10.1038/s41467-020-17086-8 | www.nature.com/naturecommunications
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Wavelet based performance analysis of AC transmission systems with unified power flow controller under power quality issues
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International Journal of Applied Power Engineering (IJAPE)
Vol.8, No.3, December 2019, pp. 299~308
ISSN: 2252-8792 DOI: 10.11591/ijape.v8.i3.pp299-308 International Journal of Applied Power Engineering (IJAPE)
Vol.8, No.3, December 2019, pp. 299~308
ISSN: 2252-8792 DOI: 10.11591/ijape.v8.i3.pp299-308 299 299 299 Corresponding Author: Corresponding Author:
M. Nagaraju,
Department of Electrical and Electronics Engineering,
Audisankara Institute of Technology,
Nellore, Andhra Pradesh 524405, India. Email: nag707@gmail.com M. Nagaraju,
Department of Electrical and Electronics Engineering,
Audisankara Institute of Technology,
Nellore, Andhra Pradesh 524405, India. Email: nag707@gmail.com Wavelet based performance analysis of AC transmission
systems with unified power flow controller
under power quality issues M. Nagaraju1, V. V. K. Reddy 2, M. Sushama3
1Electronics Engineering, Audisankara Institute of Technology, India
2Department of Electrical and Electronics Engineering, NBKR Institute of Science and Technology, India
3Department of Electrical and Electronics Engineering, JNT University, Hyderabad, India ABSTRACT Article history:
Received Feb 9, 2019
Revised Apr 25, 2019
Accepted May 12, 2019 The developments in power quality are fast and difficult to predict. The
majority of power quality issues experienced by industrial customers can be
attributed to momentary interruptions, voltage sags or swells, transients,
harmonic distortion, electrical noise, and flickering lights, among others. A
new device may be invented tomorrow solving power quality problems. The
FACTS devices could provide fast control of active and reactive power
through a transmission line. The unified power-flow controller (UPFC) is a
member of the FACTS family with very attractive features. This device can
independently control many parameters, so it is the combination of the
properties of a static synchronous compensator (STATCOM) and static
synchronous
series
compensator
(SSSC).The
performance
of
AC
Transmission system with Unified power flow controller under various
power quality problems analysis described. The proposed system is
formulated and research work is done by wavelet multi resolution analysis
using Bior1.5 mother wavelet with MATLAB/SIMULINK software. It is
observed that the effectiveness of AC power transmission through Unified
power flow controller under power quality problems of sag, swell, transient,
temporary faults and capacitive switching. Keywords:
FACTS Devices
Power quality
UPFC
Voltage source converter
wavelet analysis Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author:
M. Nagaraju,
Department of Electrical and Electronics Engineering,
Audisankara Institute of Technology,
Nellore, Andhra Pradesh 524405, India. Email: nag707@gmail.com Corresponding Author: 1.
INTRODUCTION Power quality is an issue that is becoming increasingly important to electricity consumers at all
levels of power system network. Sensitive and non-linear loads are common place in both the industrial and
the domestic applications [1]. Developments in the power quality area will take long time, so that these
problems will be around for at least several more years. Power quality problems related to long and short
interruptions of power supply. Long interruptions are the most serious voltage quality disturbance. Short
interruptions are shown to be due to a combination of automatic reclosing and a system design aimed at
limiting the number of reclosers.Automatioc reclosing makes that a long interruption becomes a short
interruption and such a mitigation method. Voltage sag is short duration reduction in voltage, caused by short
circuits, overloads, and starting of induction motors. As long as voltage is sinusoidal, it does not matter
whether rms voltage, fundamental voltage, or peak voltage is used to obtain the sag magnitude. The interface between the system and the equipment is the most common place to mitigate sag and
interruptions. Most of the mitigation techniques are based on the injection of active power, thus Journal homepage: http://iaescore.com/journals/index.php/IJAPE 300 ISSN: 2252-8792 compensating the loss of active power supplied by the system. All modern techniques are based on power
electronic devices, with the voltage source converters being the building block. A voltage source converter is
a power electronic device which can generate a sinusoidal voltage at any required frequency, magnitude, and
phase angle. The voltage source converter technology is used for “Flexible AC Transmission systems” and
for mitigation of harmonic distortion and voltage fluctuations. compensating the loss of active power supplied by the system. All modern techniques are based on power
electronic devices, with the voltage source converters being the building block. A voltage source converter is
a power electronic device which can generate a sinusoidal voltage at any required frequency, magnitude, and
phase angle. The voltage source converter technology is used for “Flexible AC Transmission systems” and
for mitigation of harmonic distortion and voltage fluctuations. The UPFC consists of shunt and series compensation device is one of the flexible AC transmission
system [2]. It can control bus voltage and power flows of a network. 2.
PROPOSED UPFC CONNECTED TRANSMISSION MODEL The 48-pulse voltage source converter is composed of three-phase controllable bridges to produce
current that is injected into a transmission line using a series transformer. In this UPFC is designed by using
series and shunt voltage sourced converters can control active and reactive power flows in a transmission
line. The UPFC is a combination of a static synchronous series compensator (SSSC) and static synchronous
compensator (STATCOM) coupled through a common DC voltage linking injected voltage in quadrature
with current within the power system [5]. The proposed UPFC connected transmission model illustrated in
Figure 1. Figure 1. The proposed model of a UPFC connected transmission system Figure 1. The proposed model of a UPFC connected transmission system The series VSC blocks are connected in series with the transmission line by a series coupling
transformer and it can provide either capacitive or inductive voltage compensation [6]. The converter is
operated under fundamental frequency for the main bridges and six time fundamental frequency for the
auxiliary circuit. The converter switching loses and switching device dynamic voltage stress is reduced
significantly [7]. 1.
INTRODUCTION This paper presents the complete digital
simulation of the configurations of UPFC within the power system is performed in the MATLAB/Simulink
environment to handle the power quality issues. The paper proposes a full model comprising of voltage
source converter based UPFC is constructed for digital simulation to investigate the performance of the
controller on various power quality problems and observed that considerable improvement is identified on
48-pulse Voltage source converter. The control scheme has the fast dynamic response and hence is adequate
for improving transient behaviour of power system after transient conditions. When no UPFC is installed,
real and reactive power through the transmission line cannot be controlled. A control system which enables
the UPFC to follow the changes in reference values like AC voltage, DC voltage and angle order of the series
voltage source converter is simulated. In past, the power quality problems are identified by total harmonic
distortions, but this method of approach is failed under micro analysis. To overcome the previous analysis,
the proposed research work is carried wavelet based performance analysis of ac transmission systems with
unified power flow controller under power quality issues. The sum of the detailed coefficients of current and
voltage signals are calculated by make use of bior1.5 mother wavelet at each terminal [3, 4]. The analysis can
be carried under various power quality problems and it is found that the analysis is superior to
existing methods. 3.
DIGITAL SIMULATION MODEL OF UPFC The single line diagram representing proposed system model for 60-pulse the UPFC connected
transmission system under study is illustrated in Figure 2. The sample system with the Unified power Flow
Controller with shunt as well as series VSC controller and its control scheme is connected to four bus system. The feeder network is connected at Bus1 with a 25 kV,100MVA source and 3MW injected load connected at
Bus2 , at injected load of 5MW and 2Mvar at bus 3. Int J Appl Power Eng, Vol. 8, No. 3, December 2019: 299 – 308 ISSN: 2252-8792 301
301
3 Int J Appl Power Eng Figure 2. Single line diagram of proposed model with the 48-pulse UPFC between Bus B2 and B3 Figure 2. Single line diagram of proposed model with the 48-pulse UPFC between Bus B2 and B3 The UPFC located at the left end of the 10 km feeder from B2. It consists of three 100-MVA, three-
level, 48-pulse GTO-based converters, connected as shunt at bus B2. The shunt and series converter can
exchange active and reactive power through a common DC bus. The reactive power variation is obtained by
varying the DC bus voltage. The digital simulation model comprises of four 12-pulse GTO-converters,
phase-shiftedby 〖7.5〗^0from each other and model, can provide the full 48-pulse converter operation. The
48-pulse converter can be used in high-voltage and power applications operation there is no need of any ac
filters to control harmonic distortion content on the ac side [8, 9]. The output voltage has normal harmonics
n=48r▁(+)1, where r=0, 1, 2, 3. 4.
RESULTS AND ANALYSIS 4. RESULTS AND ANALYSIS
The variation of three phase currents and voltages are shown in Figure 3 and Figure 4 under
switching transient condition. The current and voltage transients are compensated with UPFC as shown in
Figure 5 and Figure 6. The variation of three phase currents and voltages are shown in Figure 3 and Figure 4 under
switching transient condition. The current and voltage transients are compensated with UPFC as shown in
Figure 5 and Figure 6. Figure 3. Absolute and detailed index of transient current signal of uncompensated transmission system Wavelet based performance analysis of AC transmission systems with unified power flow … (M. Nagaraju)
Figure 3. Absolute and detailed index of transient current signal of uncompensated transmission system
Figure 4. Absolute and detailed index of transient voltage signal of uncompensated transmission system Figure 3. Absolute and detailed index of transient current signal of uncompensated transmission system Wavelet based performance analysis of AC transmission systems with unified power flow … (M. Nagaraju)
Figure 4. Absolute and detailed index of transient voltage signal of uncompensated transmission system Wavelet based performance analysis of AC transmission systems with unified power flow … (M. Nagaraju
Figure 4. Absolute and detailed index of transient voltage signal of uncompensated transmission system ISSN: 2252-8792 302 Figure 5. Absolute and detailed index of transient current signal of UPFC Compensated transmission system igure 5. Absolute and detailed index of transient current signal of UPFC Compensated transmission system Figure 6. Absolute and detailed index of transient voltage signal of UPFC compensated transmission system Figure 6. Absolute and detailed index of transient voltage signal of UPFC compensated transmission system The variation of three phase currents and voltages are shown in Figure 7 and Figure 8 under
capacitive reactive load in uncompensated the transmission system, current and voltage distortions are
suppressed by Unified power flow condition compensator can be observed and illustrated in Figure 9 and
Figure 10. Figure 7. Absolute and detailed index of current signal of uncompensated transmission system under leading
reactive power injection Figure 7. Absolute and detailed index of current signal of uncompensated transmission system under leading
reactive power injection Int J Appl Power Eng, Vol. 8, No. 3, December 2019: 299 – 308 ISSN: 2252-8792 303 Int J Appl Power Eng Figure 8. Absolute and detailed index of voltage signal of uncompensated transmission system under leading
reactive power injection Figure 8. Wavelet based performance analysis of AC transmission systems with unified power flow … (M. Nagaraju) 4.
RESULTS AND ANALYSIS Absolute and detailed index of voltage signal of uncompensated transmission system under leading
reactive power injection Figure 9. Absolute and detailed index of current signal of UPFC compensated transmission system under
leading reactive power injection Figure 9. Absolute and detailed index of current signal of UPFC compensated transmission system under
leading reactive power injection Figure 10. Absolute and detailed index of voltage signal of UPFC compensated transmission system under
leading reactive power injection Figure 10. Absolute and detailed index of voltage signal of UPFC compensated transmission system under
leading reactive power injection The variation of three phase currents and voltages are shown in Figure 11 and Figure 12 under
sudden load in uncompensated the transmission system, current and voltage distortions are suppressed by
Unified power flow condition compensator can be observed and illustrated in Figure 13 and Figure 14. Wavelet based performance analysis of AC transmission systems with unified power flow … (M. Nagaraj ISSN: 2252-8792 304
ISSN: 2252 8792
304
Figure 11. Absolute and detailed index of current signal of uncompensated transmission system under
sudden load
Figure 12. Absolute and detailed index of voltage signal of uncompensated transmission system under
sudden load
Figure 13. Absolute and detailed index of current signal of UPFC compensated transmission system under
sudden load Figure 11. Absolute and detailed index of current signal of uncompensated transmission system under
sudden load Figure 11. Absolute and detailed index of current signal of uncompensated transmission system under
sudden load Figure 12. Absolute and detailed index of voltage signal of uncompensated transmission system under
sudden load Figure 12. Absolute and detailed index of voltage signal of uncompensated transmission system under
sudden load Figure 13. Absolute and detailed index of current signal of UPFC compensated transmission system under
sudden load Figure 13. Absolute and detailed index of current signal of UPFC compensated transmission system under
sudden load Figure 14. Absolute and detailed index of voltage signal of UPFC compensated transmission system under
sudden load Figure 14. Absolute and detailed index of voltage signal of UPFC compensated transmission system under
sudden load Int J Appl Power Eng, Vol. 8, No. 3, December 2019: 299 – 308 Int J Appl Power Eng, Vol. 8, No. 3, December 2019: 299 – 308
305 305 ISSN: 2252-8792 Wavelet based performance analysis of AC transmission systems with unified power flow … (M. Nagaraju) Int J Appl Power Eng The variation of three phase currents and voltages are shown under single line to ground fault and
double line to ground faults are described on uncompensated and compensated system are shown from
Figure15 to Figure 22. The variation of three phase currents and voltages are shown under single line to ground fault and
double line to ground faults are described on uncompensated and compensated system are shown from
Figure15 to Figure 22. Figure 15:Absolute and detailed index of current signal of uncompensated transmission system under
temporary single line to ground fault Figure 15:Absolute and detailed index of current signal of uncompensated transmission system under
temporary single line to ground fault Figure 16. Absolute and detailed index of voltage signal of uncompensated transmission system under
temporary single line to ground fault Figure 16. Absolute and detailed index of voltage signal of uncompensated transmission system under
temporary single line to ground fault Figure 17. Absolute and detailed index of current signal of UPFC compensated transmission system under
temporary single line to ground fault Figure 17. Absolute and detailed index of current signal of UPFC compensated transmission system under
temporary single line to ground fault Figure 17. Absolute and detailed index of current signal of UPFC compensated transmission system under
temporary single line to ground fault Wavelet based performance analysis of AC transmission systems with unified power flow … (M. Nagaraj ISSN: 2252-8792 306 Figure 18. Absolute and detailed index of voltage signal of UPFC compensated transmission system under
temporary single line to ground fault Figure 18. Absolute and detailed index of voltage signal of UPFC compensated transmission system under
temporary single line to ground fault Figure 19. Absolute and detailed index of current signal of uncompensated transmission system under
temporary double line to ground fault Figure 19. Absolute and detailed index of current signal of uncompensated transmission system under
temporary double line to ground fault Figure 20. Absolute and detailed index of voltage signal of uncompensated transmission system under
temporary double line to ground fault Figure 20. Absolute and detailed index of voltage signal of uncompensated transmission system under
temporary double line to ground fault Figure 21. Absolute and detailed index of current signal of UPFC compensated transmission system under
temporary double line to ground fault Figure 21. 5.
CONCLUSION The increasing complexities of large inter connected networks had fluctuations in reliability of
power supply, which resulted in system instability, difficult to control the power flow, existence of voltage
sag, voltage swell, interruptions, harmonic distortions, transients and security problems are analysed. The
multiline transmission systems with UPFC is a VSC based controller is developed using the
MATLAB/Simulink. For detecting and characterizing disturbances in the transmission system is carried
wavelet multi resolution analysis technique is implemented. An operating current signals are identified and
then sum of the detailed coefficients are calculated by make use of bior1.5 mother wavelet at each terminal. This is compared to various power quality problems. The proposed model is tested under various power
quality problems and found that voltage source converter based UPFC can control power quality issues
effectively. Int J Appl Power Eng Absolute and detailed index of current signal of UPFC compensated transmission system under
temporary double line to ground fault Int J Appl Power Eng, Vol. 8, No. 3, December 2019: 299 – 308 ISSN: 2252-8792 Int J Appl Power Eng 307 Figure 22. Absolute and detailed index of voltage signal of UPFC compensated transmission system under
temporary double line to ground fault Figure 22. Absolute and detailed index of voltage signal of UPFC compensated transmission system under
temporary double line to ground fault The wavelet approach is more prominent method to analyse the reactive power compensating
transmission system with as well as without UPFC under various power quality issues [10]. The wavelet approach is more prominent method to analyse the reactive power compensating
transmission system with as well as without UPFC under various power quality issues [10]. Wavelet based performance analysis of AC transmission systems with unified power flow … (M. Nagaraj REFERENCES He started his career as Assistant Professor in the Department
EEE, N.B.K.R.Institute of science Technology Nellore dist,AP, in the year 1981.. He worked
Associate Professor for 13 years and as professor 8 years in the Department of Electrical
Electronics Engineering, N.B.K.R.Institute of science Technology Nellore dist, AP . Presently
is working as Professor & Director in N.B.K.R.Institute of science Technology Nellore dist, A
India. He had 28 years of teaching & 10 years of research experience.He has published vario
international and national conference papers as well as journal papers. Dr. M.Sushama, born on 8th Feb 1973, in Nalgonda , a small town near Nagarjuna Sagar, A. India .Obtained her B.Tech degree in 1993 and M.Tech degree in 2003 with a specialization
Electrical Power Systems from Jawaharlal Nehru Technological University, India. She obtain
her Ph.D. from JNTU Hyderabad, India in 2009 in the area of “Power Quality” using Wave
Transforms. She started her career as Assistant Professor in the Department of EEE, JNT
College of Engg., Anantapur, in the year 1995. She worked as Associate Professor for 8 years
the Department of Electrical & Electronics Engineering, JNTUH College of Engg., Hyderaba
Presently she is working as Professor in Electrical & Electronics Engineering, JNTUH Colle
of Engineering, Kukatpally, Hyderabad. She had 20 years of teaching & 9 years of resear
experience. She has published 17 international conference papers in various IEEE sponsor
conferences, 15 International journal papers and one article in “Electrical INDIA”. Her resear
interests include Power Quality, Wavelet Transforms, Neural & Fuzzy expert Systems. She
currently guiding 5 Ph.D students. She is a life member of ISTE, Systems Society of India (SS
& IETE. M. Nagaraju, born on 4th june 1978, in Naidupet,Nellore district, A.P., India. Obtained his
B.Tech degree in 2002 and M.Tech degree in 2008 with a specialization in electrical power
systems from Jawaharlal Nehru Technological University Hyderabad , India and pursuing PhD
in Electrical power system at JNT University, Hyderabad. Presently working as Associate
Professor department of Electrical &Electronics Engineering, Audisankara Institute Of
Technology, Nellore Dist, AP, India. His area of interest includes Power Quality, Facts
controllers, Wavelets and computer applications to power systems. V. Vijaya Kumar Reddy, born on 1st July 1955, in Nellore, a small town near gudur A.P., India
.Obtained his B.Tech degree in 1979 and M.Tech degree in 1981 with a specialization in
Electrical Machines & Industrial Drives from REC, Warangal, India. Int J Appl Power Eng, Vol. 8, No. 3, December 2019: 299 – 308 REFERENCES [1]
Roger C. Dugan, Mark f. Mcgranaghan, Dr. Surya Santoso and H. Wayne Beaty., "Electrical power systems
quality," Tata McGraw Hills publications, 2002. [2]
Narain G. Hingorani, Laszlo Gyugyi, "Understanding FACTS: Concepts and Technology of Flexible AC
Transmission Systems," Wiley-IEEE Press, 2000. ]
O. Rioul and M. Vetterli, "Wavelets and signal processing," in IEEE Signal Processing Magazine, vol. 8, no. 4, p
14-38, Oct. 1991. [4]
J. Barros, R.I. Diego, M.D. Apraiz, "Applications of wavelets in electric power quality: Voltage events," Electric
Power Systems Research, vol. 88, pp. 130– 136, 2012. y
pp
[5]
Abdelouahed Touhami, Zidi Sid Ahmed, "Modeling and Transient Simulation of Unified Power Flow Controllers
(UPFC) in Power System". [6]
Eskandar Gholipur and Shahrokh Saadate, "Improving of Transient Stability is Power Systems Using UPFC" IEEE
Trans. Power Del., vol. 20, no. 2, pp. 1677-1682, Apr. 2005. [7]
G.Ravi kumar, Shaik Abdul Gafoor, S.S.Tulasiram, "Fuzzy –Wavelet Based Double Transmission Line
Transmission System Protection Scheme in The presence of UPFC" Electrical Power and Energy Systems, vol. 70,
pp. 91-98, 2015. pp
]
Collins C., Watson N. and Wood A., "UPFC Modeling in Harmonic Domain," IEEE Trans. on Power Deliver
vol. 21, no. 2, pp. 933-938, 2006. [9]
Yan Zhang, and Jovica V. Milanovic, "Global Voltage Sag Mitigation with FACTS Based Devices," IEEE
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,
, pp
,
[10] S. Muthukrishna and A. Nirmalkumar, "Enhancement of power quality in 14- bus system using UPFC," Research
Journal of Applied sciences, Engineers and Technology, vol. 2, no. 4, pp. 356-361, 2010. ISSN: 2252-8792 308 BIOGRAPHIES OF AUTHORS M. Nagaraju, born on 4th june 1978, in Naidupet,Nellore district, A.P., India. Obtained h
B.Tech degree in 2002 and M.Tech degree in 2008 with a specialization in electrical pow
systems from Jawaharlal Nehru Technological University Hyderabad , India and pursuing Ph
in Electrical power system at JNT University, Hyderabad. Presently working as Associa
Professor department of Electrical &Electronics Engineering, Audisankara Institute
Technology, Nellore Dist, AP, India. His area of interest includes Power Quality, Fac
controllers, Wavelets and computer applications to power systems. V. Vijaya Kumar Reddy, born on 1st July 1955, in Nellore, a small town near gudur A.P., Ind
.Obtained his B.Tech degree in 1979 and M.Tech degree in 1981 with a specialization
Electrical Machines & Industrial Drives from REC, Warangal, India. He obtained his Ph.D. fro
NIT Warangal, India in 2008. REFERENCES He obtained his Ph.D. from
NIT Warangal, India in 2008. He started his career as Assistant Professor in the Department of
EEE, N.B.K.R.Institute of science Technology Nellore dist,AP, in the year 1981.. He worked as
Associate Professor for 13 years and as professor 8 years in the Department of Electrical &
Electronics Engineering, N.B.K.R.Institute of science Technology Nellore dist, AP . Presently he
is working as Professor & Director in N.B.K.R.Institute of science Technology Nellore dist, AP,
India. He had 28 years of teaching & 10 years of research experience.He has published various
international and national conference papers as well as journal papers. Dr. M.Sushama, born on 8th Feb 1973, in Nalgonda , a small town near Nagarjuna Sagar, A.P.,
India .Obtained her B.Tech degree in 1993 and M.Tech degree in 2003 with a specialization in
Electrical Power Systems from Jawaharlal Nehru Technological University, India. She obtained
her Ph.D. from JNTU Hyderabad, India in 2009 in the area of “Power Quality” using Wavelet
Transforms. She started her career as Assistant Professor in the Department of EEE, JNTU
College of Engg., Anantapur, in the year 1995. She worked as Associate Professor for 8 years in
the Department of Electrical & Electronics Engineering, JNTUH College of Engg., Hyderabad. Presently she is working as Professor in Electrical & Electronics Engineering, JNTUH College
of Engineering, Kukatpally, Hyderabad. She had 20 years of teaching & 9 years of research
experience. She has published 17 international conference papers in various IEEE sponsored
conferences, 15 International journal papers and one article in “Electrical INDIA”. Her research
interests include Power Quality, Wavelet Transforms, Neural & Fuzzy expert Systems. She is
currently guiding 5 Ph.D students. She is a life member of ISTE, Systems Society of India (SSI)
& IETE.
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Psychosocial and demographic factors influencing pain scores of patients with knee osteoarthritis
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PloS one
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cc-by
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RESEARCH ARTICLE Editor: Carlos M. Isales, Augusta University,
UNITED STATES Editor: Carlos M. Isales, Augusta University,
UNITED STATES
Received: April 4, 2017
Accepted: March 17, 2018
Published: April 9, 2018
Copyright: © 2018 Eberly 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. Methods The pain-evaluation instrument was a 0- to 10-point rating scale. Data obtained retrospec-
tively from the patients’ medical records were demographic characteristics, body mass
index (BMI), concomitant disorders, illicit and prescription drug use, alcohol use, smoking,
knee OA treatment, and severity of knee OA indicated by Kellgren-Lawrence (KL) radio-
graphic grade. Univariate and multivariate analyses were performed to determine whether
these variables correlated with reported pain scores. Copyright: © 2018 Eberly 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. Lauren Eberly1☯, Dustin Richter1☯*, George Comerci2☯, Justin Ocksrider1☯,
Deana Mercer1☯, Gary Mlady3☯, Daniel Wascher1☯, Robert Schenck1☯ Lauren Eberly1☯, Dustin Richter1☯*, George Comerci2☯, Justin Ocksrider1☯,
Deana Mercer1☯, Gary Mlady3☯, Daniel Wascher1☯, Robert Schenck1☯ Lauren Eberly1☯, Dustin Richter1☯*, George Comerci2☯, Justin Ocksrider1☯,
Deana Mercer1☯, Gary Mlady3☯, Daniel Wascher1☯, Robert Schenck1☯ 1 Department of Orthopaedics & Rehabilitation, The University of New Mexico Health Sciences Center,
Albuquerque, New Mexico, United States of America, 2 Department of Internal Medicine, The University of
New Mexico Health Sciences Center, Albuquerque, New Mexico, United States of America, 3 Department of
Radiology, The University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States
of America a1111111111
a1111111111
a1111111111
a1111111111
a1111111111 ☯These authors contributed equally to this work. * DLRichter@salud.unm.edu Background Citation: Eberly L, Richter D, Comerci G, Ocksrider
J, Mercer D, Mlady G, et al. (2018) Psychosocial
and demographic factors influencing pain scores of
patients with knee osteoarthritis. PLoS ONE 13(4):
e0195075. https://doi.org/10.1371/journal. pone.0195075 Pain levels in patients with osteoarthritis (OA) of the knee are commonly assessed by using
a numeric scoring system, but results may be influenced by factors other than the patient’s
actual physical discomfort or disease severity, including psychosocial and demographic var-
iables. We examined the possible relation between knee-pain scores and several psychoso-
cial, sociodemographic, disease, and treatment variables in 355 patients with knee OA. ☯These authors contributed equally to this work.
* DLRichter@salud.unm.edu Funding: The authors received no specific funding
for this work. Our results in a large, ethnically diverse group of patients with knee OA suggest that psycho-
social and sociodemographic factors may be important determinants of pain levels reported
by patients with knee OA. Competing interests: The authors have declared
that no competing interests exist. Competing interests: The authors have declared
that no competing interests exist. Psychosocial and demographic determinants of pain in knee osteoarthritis Introduction More than nine million people in the United States have symptomatic knee osteoarthritis
(OA) [1], with pain being the primary reason patients seek care and the leading cause of dis-
ability from the disease [2,3]. Patients who present with OA are usually asked to describe their
level of pain, often by referencing a numeric rating scale. However, a discrepancy between
patients’ reports of their pain level and OA disease severity as assessed by radiographic studies
has often been observed [4–6]. Therefore, it has been suggested that demographic and psycho-
social factors may influence pain reports. Factors that have been assessed for their possible relation to reports of OA-associated
pain include age, sex, body mass index (BMI), race/ethnicity, substance abuse, and
psychological variables such as depression, hopelessness, overall well-being, and social stress
[4,7–10]. The results of such correlation studies have varied, however, and some factors that
may affect pain-level reports have not been examined. With the goal of increasing under-
standing of determinants of pain reports in patients with knee OA, we conducted a retro-
spective study of the possible correlation between pain score and several demographic,
psychosocial, disease, and treatment characteristics, as well as between pain score and the
severity of OA as assessed radiologically with use of the Kellgren-Lawrence (KL) classifica-
tion system [11]. In addition, because little research has been done on a possible link
between patients’ reported pain levels and clinical decision making, we examined whether
pain scores were correlated with a recommendation by the surgeon that the patient undergo
surgical rather than nonoperative treatment of OA. Our hypothesis was that demographic,
psychosocial, and overall health-status variables would correlate with patients’ reported lev-
els of pain. Results On univariate analysis, higher pain scores were significantly associated with Native Ameri-
can or Hispanic ethnicity; a higher BMI; current prescription for an opioid, antidepressant,
or gabapentinoid medication; depression; diabetes mellitus; fibromyalgia; illicit drug use;
lack of health insurance; smoking; previous knee injection; and recommendation by the cli-
nician that the patient undergo knee surgery. Neither the patient’s sex nor the KL grade
showed a correlation. On multivariate analysis, depression, current opioid prescription,
and Native American or Hispanic ethnicity retained a significant association with higher
pain scores. Data Availability Statement: Data were obtained
from The University of New Mexico Hospital
Electronic Medical Record database. Due to the
regulations of HIPAA in protecting patient privacy,
some of the potentially identifiable data is not
available for use. Deidentified data from the study
is available from the corresponding author by
contacting him via email at DLRichter@salud.unm. edu, or from Sahar Freedman at SaharF@salud. unm.edu (505-925-0614). 1 / 11 PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 Conclusions and implications Funding: The authors received no specific funding
for this work. Patients With approval from the Human Research Review Committee of The University of New
Mexico Health Sciences Center (HRRC#13–523), we reviewed the medical records of all 611
new patients who presented to our orthopaedics clinic and received a primary diagnosis of
knee OA between 1st January 2013 and 31st December 2013. In each case, the diagnosis was
confirmed by an evaluation of the patient’s medical history, a physical examination, radio-
graphic studies, or a combination of these methods. Patients with a concurrent ligamentous
injury, inflammatory arthritis, or bilateral knee OA were excluded from the study; therefore,
355 were enrolled. Institutional review board waived the need for patient consent, and data
was accessed anonymously with no patient identifiers. At their initial presentation, all patients had been asked to describe their pain level with
respect to a number from 0 to 10, with 0 representing “no pain” and 10 “the worst pain imag-
inable.” This numeric scale is commonly used to assess arthritic pain [12]. Aside from pain
score, the record review obtained the following data for each patient: age; sex; race or ethnicity PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 2 / 11 Psychosocial and demographic determinants of pain in knee osteoarthritis (self-reported by patients’ checking a box on intake form); BMI; current tobacco, alcohol, and
illicit drug use (both illegal drugs and overuse of legal drugs); current prescription for an opi-
oid, gabapentinoid, or antidepressant agent; current diagnosis of depression, fibromyalgia, or
posttraumatic stress disorder (PTSD); health-insurance status (yes or no); previous injection
of a corticosteroid agent or hyaluronic acid in the affected knee; and whether the patient’s cli-
nician recommended surgical treatment of the knee OA during the initial presentation. Infor-
mation on smoking, alcohol, and illicit drug use was obtained with a self-report intake form
that did not allow specification of the level of use or the type of illicit drug. BMI was calculated
from patients’ most recently documented height and weight measured at that clinic visit (S1
Dataset). At the time of the medical-record review, radiographs obtained during the initial patient
visit were assessed by a musculoskeletal radiologist who was blinded to all patient information
in the records, including pain scores. The radiologist assigned each image a KL grade of 0, 1, 2,
3, or 4 on the basis of the extent of degenerative changes observed. Statistical analysis In estimating the appropriate sample size for the study, we assumed that most clinicians would
consider a difference in pain score of 2 to be clinically important and we wanted to limit the
type I error to 0.05 or lower and achieve a power of 90%. Because we anticipated simultaneous
analysis of up to 22 independent variables, we used a type I error of 0.002 (on the basis of the
Bonferroni inequality). Under these assumptions, we calculated that the study should include
about 310 patients. Standard summary statistics were calculated for all variables. Univariate analysis was used
initially to assess the possible relation between pain score and each independent binary vari-
able studied. The Student t test or Mann-Whitney U test was applied as appropriate. Analysis
of variance was used to examine the possible relation between pain score and each of the fol-
lowing: age, BMI, race or ethnic group, and KL grade. A p value of <0.05 was considered to
indicate a statistically significant difference. Multivariate analysis was performed by using a general linear model algorithm and maxi-
mum-likelihood estimation. Variables that were significantly associated with pain score in the
univariate analysis were sequentially fitted into the model with use of adjusted R2 analysis. The
variables were removed sequentially until only those that had a significant relation with pain
score remained in the model. All statistical analyses were performed with Statgraphics Centu-
rion XV software (StatPoint, Herndon, VA). PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 Patient characteristics Table 1 shows characteristics of the 355 patients in the study. Most of the patients were white
women, but our cohort was also diverse in that Native American and Hispanic patients each
comprised more than 10% of the total. The patients ranged in age from twenty-four to ninety
years. The average BMI was 31.0 kg/m2 (range, 19.1–61.9 kg/m2). The overall mean (standard
deviation [SD]) pain score was 5.0 (2.9). The mean pain scores in white, Native American, His-
panic, “other,” and black patients were 4.5 (3.0), 6.3 (2.7), 6.4 (2.5), 4.7 (3.1), and 5.8 (2.8),
respectively. The “other” category included two patients who indicated that they were Asian
and twenty-seven who reported that they were “other” than white, Native American, Hispanic,
or black. The most common KL score was 3, indicating moderate OA. 3 / 11 PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 Psychosocial and demographic determinants of pain in knee osteoarthritis Psychosocial and demographic determinants of pain in knee osteoarthritis Table 1. Demographic and clinical variables for 355 patients with knee osteoarthritisa. Variable
Value
Age, y, mean ± standard deviation
58.6 ± 11.8
Male
139 (39)
Female
216 (61)
Body mass index, kg/m2, mean ± standard deviation
31.2 ± 7.3
Ethnicityb
White
191 (64.7)
Native American
35 (11.9)
Hispanic
30 (10.2)
Other
29 (9.8)
Black
10 (3.4)
Comorbidities/insurance/history
Current smoking
56 (15.9)
Alcohol use
157 (46.6)
Illicit drug use
18 (5.4)
Opioid-agent prescription
75 (21.6)
Gabapentinoid prescription
43 (12.4)
Antidepressant prescription
84 (24.2)
Depression
94 (27.1)
Fibromyalgia
22 (6.4)
Posttraumatic stress disorder
7 (2.0)
Health insurance
318 (91.4)
Previous knee injection
110 (32.3)
Surgery recommended by clinician
59 (16.8)
Kellgren-Lawrence gradec
0
9 (2.8)
1
46 (14.2)
2
82 (25.4)
3
110 (34.1)
4
76 (23.5)
Values represent number of patients (percentage of the indicated group), unless otherwise stated. Values represent number of patients (percentage of the indicated group), unless otherwise stated. cA Kellgren-Lawrence grade of 0 (no osteophytes or joint-space narrowing) indicates no osteoarthritis; a grade of 1
(questionable osteophytes), possible osteoarthritis; a grade of 2 (definite osteophytes, no joint-space narrowing), mild
osteoarthritis; a grade of 3 ( 50% joint-space narrowing), moderate osteoarthritis; and a grade of 4 ( 50% join-
space narrowing), severe osteoarthritis. Univariate and multivariate analysis On univariate analysis, age had a significant inverse relation to pain score, with younger sub-
jects having significantly higher scores (p = 0.03). Compared with white patients, Hispanic or
Native American patients had significantly higher pain scores (p < 0.001 for both compari-
sons; (Fig 1), but there were no other significant differences among racial or ethnic groups. Patients with higher BMIs also had higher pain scores (p < 0.001). With respect to binary vari-
ables (Table 2), patients with a current opioid prescription, depression, fibromyalgia, illicit
drug use, current antidepressant or gabapentinoid prescription, uninsured status, smoking,
previous knee injection, or recommendation for operative treatment of OA had significantly 4 / 11 PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 Psychosocial and demographic determinants of pain in knee osteoarthritis Fig 1. Ethnicity and pain scores. Mean knee-pain scores in 355 patients with knee osteoarthritis, according to
patients’ ethnic or racial group. The error bars represent 95% confidence intervals adjusted by using the Tukey
procedure for multiple comparisons. The difference between Hispanic and white patients and between Native
American and white patients was significant (p < 0.001 for both comparisons). https://doi.org/10.1371/journal.pone.0195075.g001 Fig 1. Ethnicity and pain scores. Mean knee-pain scores in 355 patients with knee osteoarthritis, according to
patients’ ethnic or racial group. The error bars represent 95% confidence intervals adjusted by using the Tukey
procedure for multiple comparisons. The difference between Hispanic and white patients and between Native
American and white patients was significant (p < 0.001 for both comparisons). https://doi.org/10.1371/journal.pone.0195075.g001 https://doi.org/10.1371/journal.pone.0195075.g001 higher pain scores than those without these characteristics. Patients who said that they drank
alcohol had significantly lower pain scores than those who said that they did not. The only variables that were not related to reported pain levels were the sex of the patient, a
diagnosis of PTSD, and KL grade (p = 0.2; Fig 2). The mean pain scores (SD) according to KL
grade were 4.33 (1.89) for grade 0; 4.93 (0.84) for grade 1; 4.70 (0.63) for grade 2; 4.89 (0.54)
for grade 3; and 5.74 (0.65) for grade 4. On multivariate analysis, current opioid prescription, depression, and Native American or
Hispanic ethnicity remained in the model, indicating a significant relation between those vari-
ables and pain scores (p < 0.001, p = 0.002, and p < 0.001, respectively). PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 Discussion In a univariate analysis of a large, diverse cohort of patients with knee OA, we found that sev-
eral psychosocial, sociodemographic, disease, and treatment variables were each significantly
associated with higher reported knee-pain scores. A subsequent multivariate analysis showed a
significant association between higher pain scores and Hispanic or Native American ethnicity,
opioid agent prescription, and depression. There was no relation between pain score and KL
grade, a discordance also observed in several earlier studies [4–6]. Many of the factors analyzed
have not, to our knowledge, previously been correlated with pain score: Hispanic or Native
American ethnicity, age, opioid prescription, fibromyalgia, illicit drug use, antidepressant pre-
scription, alcohol use (inverse relation), gabapentinoid prescription, health-insurance status,
smoking, previous knee injection, and recommendation for surgical versus nonoperative treat-
ment of knee OA. It is important to note that although the results yielded statistical signifi-
cance across multiple factors analyzed in this study, the factors with clinical significance, 5 / 11 PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 Psychosocial and demographic determinants of pain in knee osteoarthritis Table 2. Association of binary variables and pain score on univariate analysis. Variable
Mean ± standard deviation score (95% CI)
P Value
Sex
Female
5.00 ± 2.91 (4.61–5.39)
Male
5.05 ± 2.98 (4.55–5.55)
0.86
Opioid-agent prescription
Yes
6.84 ± 2.94 (6.36–7.32)
No
4.48 ± 2.08 (4.13–4.83)
<0.001
Depression
Yes
6.19 ± 2.52 (5.67–6.71)
No
4.58 ± 2.94 (4.22–4.95)
<0.001
Post-traumatic Stress Disorder
Yes
6.14 ± 2.48 (3.85–8.44)
No
4.96 ± 2.93 (4.64–5.27)
0.29
Fibromyalgia
Yes
6.77 ± 2.07 (5.86–7.69)
No
4.86 ± 2.93 (4.54–5.18)
0.003
Illicit drug use
Yes
6.89 ± 2.58 (5.60–8.18)
No
4.88 ± 2.91 (4.55–5.20)
0.004
Antidepressant prescription
Yes
5.76 ± 2.77 (5.15–6.36)
No
4.73 ± 2.96 (4.37–5.09)
0.005
Gabapentinoid prescription
Yes
6.14 ± 2.53 (5.36–6.92)
No
4.82 ± 2.96 (4.48–5.15)
0.006
Alcohol use
Yes
4.53 ± 2.73 (4.10–4.96)
No
5.36 ± 3.04 (4.91–5.81)
0.009
Health insurance
Yes
4.90 ± 2.93 (4.57–5.22)
No
6.27 ± 2.66 (5.27–7.26)
0.01
Smoking
Yes
5.82 ± 2.39 (5.18–6.46)
No
4.85 ± 2.99 (4.50–5.19)
0.02
Previous knee injection
Yes
5.47 ± 2.94 (4.92–6.02)
No
4.75 ± 2.92 (4.37–5.13)
0.03
Surgery recommended by clinician
Yes
5.69 ± 2.94 (4.92–6.02)
No
4.87 ± 2.92 (4.53–5.20)
0.04
Abbreviation: CI, confidence interval. https://doi org/10 1371/journal pone 0195075 t002 https://doi.org/10.1371/journal.pone.0195075.t002 according to our stated criteria of a difference in pain score of at least two, are opioid prescrip-
tions and illicit drug use. PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 Discussion Other research has examined a possible link between knee OA-associated pain and race/
ethnicity. A study by Creamer et al. [4] included only black and white patients and noted that
the former reported higher pain scores than the latter. Additionally, one of the few studies to PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 6 / 11 Psychosocial and demographic determinants of pain in knee osteoarthritis Fig 2. Kellgren-Lawrence grade and pain scores. Mean knee-pain scores in 355 patients with knee osteoarthritis, according to Kellgren-Lawrence
Grade. The error bars represent 95% confidence intervals adjusted by using the Tukey procedure for multiple comparisons. There were no significant
differences between groups. https://doi.org/10.1371/journal.pone.0195075.g002 PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 Previous studies found that depression affects reported pain in patients with rheu-
matoid arthritis [18], and an influence of depression on pain severity in patients with OA has
been suggested [6,19]. The higher reported pain scores might reflect pain catastrophizing,
which is a tendency to focus on negative pain sensations, thereby exaggerating the pain experi-
ence and enhancing feelings of helplessness [20]. It was previously shown that depression can
lead to increased pain through pain catastrophizing in patients with musculoskeletal condi-
tions [21], and pain catastrophizing has been linked to higher pain scores in patients with OA
[22]. Cognitive behavioral therapy or psychotherapy aimed at reducing catastrophizing in
these patients and similar patients with fibromyalgia may produce better outcomes than phar-
macologic therapy [23]. In agreement with earlier findings [7,8], the sex of the patient was not correlated with pain
scores. Interestingly, although the prevalence of knee OA increases with age, pain scores were
significantly higher in our study’s younger patients. Psychological factors such as depression
may have influenced pain reports in these patients. Indeed, younger adults with OA have been
shown to have higher rates of depression and depressive symptoms than older adults with the
disease [24,25]. In addition, life stress and hypochondriasis, which are associated with higher
pain scores, are more prevalent in younger people [10]. Obesity, a known risk factor for development of OA, has been linked to an increased sever-
ity of OA-related pain, although Somers et al. [26] found that BMI was not correlated with
pain scale scores. Our results show that patients with higher BMIs were significantly more
likely to have higher knee-pain scores. Clinicians counseling obese patients with OA-related
knee pain should consider suggesting weight loss as possible treatment. The association between higher pain scores and uninsured status is probably related to
socioeconomic status because OA pain and symptomatic knee OA have been correlated with
lower income levels [7] and the poverty rate in a community [27], respectively. In addition,
“feeling helpless” has been found to constitute an important determinant of higher pain scores
[8], and patients without health insurance may have an increased tendency to experience this
feeling, perhaps accompanied by a feeling of disenfranchisement. Our study had the usual limitations of a retrospective, observational investigation. In addi-
tion, there may have been interactions among the variables assessed that our study design
could not identify. Fig 2. Kellgren-Lawrence grade and pain scores. Mean knee-pain scores in 355 patients with knee osteoarthritis, according to Kellgren-Lawrence
Grade. The error bars represent 95% confidence intervals adjusted by using the Tukey procedure for multiple comparisons. There were no significant
differences between groups. https://doi.org/10.1371/journal.pone.0195075.g002 include Hispanic patients with rheumatic disease found significantly poorer global estimates
of participant health, compared with those made by physicians [13]. The diversity of our study
cohort provided an opportunity to compare pain scores among four different racial/ethnic
groups. Both our univariate and multivariate analyses found that Native American or Hispanic
patients had significantly higher pain scores than white patients. Studies of arthritis-associated pain in Native Americans are scarce; however, in an investi-
gation by Kramer et al. [14] in which face-to-face interviews were conducted with fifty-six
Native Americans living in an urban area, most interviewees commented on their cultural
practice of minimizing pain complaints and reported that American Indians do not readily
discuss pain. The Native Americans studied by Kramer et al. lived in an urban area, whereas
many of our Native American patients live in rural areas and are of different tribes. There may
be cultural variations among tribes regarding the pain experience or the reporting of pain in a
setting in which few, if any, of the clinicians are Native American. Nevertheless, these studies
do show the importance of clinician awareness of possible ethnic-group differences in report-
ing OA-pain experience. The association between current opioid agent prescription and higher pain scores possibly
stems from neuromodulation of pain sensitivity resulting from chronic opioid use [15,16]. It is
possible that some of our patients with an opioid prescription reported greater pain as a mani-
festation of drug-seeking behavior whereas other patients may simply have higher baseline
pain levels. However, the differences in pharmacodynamics, opioid-receptor interactions, and PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 7 / 11 Psychosocial and demographic determinants of pain in knee osteoarthritis bioavailability of a particular opioid dose likely play an important role in sufficient pain relief. The use of a pain-assessment instrument that evaluates patients’ functional abilities, such as
the Western Ontario and McMaster Universities Osteoarthritis Index [17], might be useful
when pain assessment is unclear. Our multivariate analysis also found a significant relation between higher pain scores and
depression. PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 Supporting information S1 Dataset. Knee osteoarthritis patient raw data. Raw data extracted from the chart review
for all patients who met study inclusion criteria. (XLS) S1 Dataset. Knee osteoarthritis patient raw data. Raw data extracted from the chart review
for all patients who met study inclusion criteria. (XLS) Some factors not examined, such as whether the patient was currently
involved in a workers’ compensation evaluation, might have influenced pain-score reports. Additionally, our study had a small number of black patients, with a large percentage of His-
panic and Native American patients. This unique ethnic distribution, however, is a reflection
of our state’s composite population. Finally, the pain-evaluation method that was used was a
simple numeric rating scale. This assessment can be administered quickly, but it may not suffi-
ciently characterize a patient’s pain experience. Despite these limitations, our results indicate that psychosocial and sociodemographic fac-
tors significantly affect patients’ reports of their level of OA-related knee pain and that patients
with OA do not constitute a homogenous group for which the same management approaches
will suffice. Management should be tailored to the individual and characterized by more exten-
sive patient education regarding the specific factors contributing to their pain, as well as dis-
cussion of appropriate expectations for pain-level. The usefulness of a pain assessment based
primarily on a numeric pain score is of variable utility. Extensive reliance on such an PLOS ONE | https://doi.org/10.1371/journal.pone.0195075
April 9, 2018 8 / 11 Psychosocial and demographic determinants of pain in knee osteoarthritis assessment in clinical decision-making may be inappropriate, especially when invasive proce-
dures are contemplated. With the limitations that come with the visual analog scale, clinicians
could consider employing various self-reported and physical measures recommended by the
Osteoarthritis Research Society International (OARSI) such as the Dallas Pain Questionnaire
or the WOMAC Questionnaire. Ultimately, pain-treatment decisions should not be based pri-
marily on KL grade but the entire patient presentation. Although clinicians cannot modify some of the factors associated with higher pain scores
in our study, they can increase their insight into the possible causes of an observed discrep-
ancy between a patient’s clinical appearance with respect to comfort and his or her pain
score and perhaps mitigate the influence of factors that can be changed. Clinicians who are
aware of the psychosocial and sociodemographic characteristics that affect their patients’
reports of OA-related knee pain will thereby be able to provide more effective, patient-
centered care. Acknowledgments We thank William D. Tandberg, MD for performing the statistical analysis and Renee´ Robil-
lard and Sahar Freedman for editorial assistance. This study received the Vernon L. Nickel
Award of 2015 by the Orthopaedic Rehabilitation Association and was presented at the 68th
Annual Meeting of the Association of Bone and Joint Surgeons. Author Contributions Conceptualization: Lauren Eberly, Daniel Wascher. Data curation: Lauren Eberly, Dustin Richter, Daniel Wascher. Data curation: Lauren Eberly, Dustin Richter, Daniel Wascher. Data curation: Lauren Eberly, Dustin Richter, Daniel Wascher. Formal analysis: Lauren Eberly, George Comerci, Justin Ocksrider, Robert Schenck. Investigation: Lauren Eberly, Daniel Wascher. Methodology: Lauren Eberly, Dustin Richter, George Comerci, Justin Ocksrider, Deana Mer-
cer, Gary Mlady, Daniel Wascher, Robert Schenck. Project administration: Robert Schenck. References 1. Lawrence RC, Felson DT, Helmick CG, Arnold LM, Choi H, Deyo RA, et al; National Arthritis Data Work-
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Surveillance indicators for potential reduced exposure products (PREPs): developing survey items to measure awareness
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BioMed Central
Harm Reduction Journal
Open Access
Research
Surveillance indicators for potential reduced exposure products
(PREPs): developing survey items to measure awareness
Karen Bogen*1, Lois Biener2, Catherine A Garrett2, Jane Allen3, K
Michael Cummings4, Anne Hartman5, Stephen Marcus5, Ann McNeill6,
Richard J O'Connor4, Mark Parascandola5 and Linda Pederson7
Address: 1Mathematica Policy Research, Cambridge, MA, USA, 2Center for Survey Research, University of Massachusetts Boston, Boston, MA, USA,
3American Legacy Foundation, Washington, DC, USA, 4Department of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY, USA,
5National Cancer Institute, National Institutes of Health, Washington, DC, USA, 6Division of Epidemiology and Public Health, University of
Nottingham, Nottingham, UK and 7Beth-El College of Nursing & Health Sciences, Univ of Colorado, Colorado Springs, CO, USA
Email: Karen Bogen* - kbogen@mathematica-mpr.com; Lois Biener - lois.biener@umb.edu;
Catherine A Garrett - catherine.garrett@comcast.net; Jane Allen - JAllen@americanlegacy.org; K
Michael Cummings - Michael.Cummings@roswellpark.org; Anne Hartman - Anne_Hartman@nih.gov;
Stephen Marcus - marcusst@mail.nih.gov; Ann McNeill - Ann.Mcneill@nottingham.ac.uk;
Richard J O'Connor - Richard.Oconnor@roswellpark.org; Mark Parascandola - mark.parascandola@nih.hhs.gov;
Linda Pederson - lindap@mindspring.com
* Corresponding author
Published: 19 October 2009
Harm Reduction Journal 2009, 6:27
doi:10.1186/1477-7517-6-27
Received: 6 January 2009
Accepted: 19 October 2009
This article is available from: http://www.harmreductionjournal.com/content/6/1/27
© 2009 Bogen 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. BioMed Central Harm Reduction Journal 2009, 6:27
doi:10.1186/1477-7517-6-27 Harm Reduction Journal 2009, 6:27
doi:10.1186/1477-7517-6-27 This article is available from: http://www.harmreductionjournal.com/content/6/1/27 This article is available from: http://www.harmreductionjour © 2009 Bogen et al; licensee BioMed Central Ltd. g
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. Harm Reduction Journal Open
Research
Surveillance indicators for potential reduced exposure products
(PREPs): developing survey items to measure awareness
Karen Bogen*1, Lois Biener2, Catherine A Garrett2, Jane Allen3, K
Michael Cummings4, Anne Hartman5, Stephen Marcus5, Ann McNeill6,
Richard J O'Connor4, Mark Parascandola5 and Linda Pederson7 Research Address: 1Mathematica Policy Research, Cambridge, MA, USA, 2Center for Survey Research, University of Massachusetts Boston, Boston, MA, USA,
3American Legacy Foundation, Washington, DC, USA, 4Department of Health Behavior, Roswell Park Cancer Institute, Buffalo, NY, USA,
5National Cancer Institute, National Institutes of Health, Washington, DC, USA, 6Division of Epidemiology and Public Health, University of
Nottingham, Nottingham, UK and 7Beth-El College of Nursing & Health Sciences, Univ of Colorado, Colorado Springs, CO, USA Email: Karen Bogen* - kbogen@mathematica-mpr.com; Lois Biener - lois.biener@umb.edu;
Catherine A Garrett - catherine.garrett@comcast.net; Jane Allen - JAllen@americanlegacy.org; K
Michael Cummings - Michael.Cummings@roswellpark.org; Anne Hartman - Anne_Hartman@nih.gov;
Stephen Marcus - marcusst@mail.nih.gov; Ann McNeill - Ann.Mcneill@nottingham.ac.uk; Email: Karen Bogen* - kbogen@mathematica-mpr.com; Lois Biener - lois.biener@umb.edu;
Catherine A Garrett - catherine.garrett@comcast.net; Jane Allen - JAllen@americanlegacy.org; K
Michael Cummings - Michael.Cummings@roswellpark.org; Anne Hartman - Anne_Hartman@nih.gov;
Stephen Marcus - marcusst@mail.nih.gov; Ann McNeill - Ann.Mcneill@nottingham.ac.uk;
Richard J O'Connor - Richard.Oconnor@roswellpark.org; Mark Parascandola - mark.parascandola@nih.hhs.gov;
Linda Pederson - lindap@mindspring.com Michael Cummings - Michael.Cummings@roswellpark.org; Anne Hartman - Anne_Hartman@nih.gov;
Stephen Marcus - marcusst@mail.nih.gov; Ann McNeill - Ann.Mcneill@nottingham.ac.uk; Richard J O'Connor - Richard.Oconnor@roswellpark.org; Mark Parascandola - mark.parascandola@nih.hhs.gov;
Linda Pederson - lindap@mindspring.com * Corresponding author Received: 6 January 2009
Accepted: 19 October 2009 Received: 6 January 2009
Accepted: 19 October 2009 Published: 19 October 2009 Open
Research
Surveillance indicators for potential reduced exposure products
(PREPs): developing survey items to measure awareness
Karen Bogen*1, Lois Biener2, Catherine A Garrett2, Jane Allen3, K
Michael Cummings4, Anne Hartman5, Stephen Marcus5, Ann McNeill6,
Richard J O'Connor4, Mark Parascandola5 and Linda Pederson7 Open Access Background the fact that without a valid measure of awareness - one
that allows the researcher to be confident that the
respondent is thinking of the specific products being stud-
ied - measures of risk perceptions, current use, and inten-
tions regarding future use are of little value. g
Over the past decade, tobacco companies have introduced
cigarettes and smokeless tobacco products with purport-
edly lower levels of some toxins than conventional ciga-
rettes and smokeless products. These new products,
named by the Institute of Medicine as Potential Reduced
Exposure Products (PREPs)[1], have typically been intro-
duced into regional test markets in the U.S. rather than
nationwide, which means they are not widely recognized
by name or description by most consumers[2,3]. Although some in the public health community welcome
the introduction of PREPS, as they may offer a harm
reduction opportunity to current tobacco users, other
public health advocates do not believe that enough
research - particularly long term research - has been done
to know whether PREPs, even if proven to have reduced
toxins, actually present a reduced health risk to smokers
[4]. The concern in the public health community is that
tobacco users who might have been motivated to quit
may abandon those quit plans if they believe that an alter-
native, less hazardous option exists with the PREPs. Like-
wise, former tobacco users could be tempted back to use
and non-users could be tempted to initiate use if they too
believe that PREPs present lower health risks than conven-
tional tobacco products [5,6]. Having faced a similar situ-
ation with the introduction of "light" cigarettes - i.e. new
product, insufficient research about its health implica-
tions, effective tobacco industry marketing, and subse-
quent documentation of no public health benefit and
possible public health harm - public health officials are
cautious about PREPs. Preliminary studies suggest that
smokers are interested in trying PREPs, particularly com-
bustible ones, and perceive them to have lower health
risks than cigarettes [2,7-9]. On the other hand, despite
well-documented evidence that smokeless tobacco is sub-
stantially less harmful than cigarettes [10-16], studies
demonstrate that most consumers rate them as being as
harmful as cigarettes, if not more harmful [17,18]. Thus,
public health experts have called for the development of a
science to evaluate both the products and the public's
response to them, as well as ongoing population surveil-
lance [1,19,20]. Abstract Background: Over the past decade, tobacco companies have introduced cigarettes and
smokeless tobacco products (known as Potential Reduced Exposure Products, PREPs) with
purportedly lower levels of some toxins than conventional cigarettes and smokeless products. It is
essential that public health agencies monitor awareness, interest, use, and perceptions of these
products so that their impact on population health can be detected at the earliest stages. Methods: This paper reviews and critiques existing strategies for measuring awareness of PREPs
from 16 published and unpublished studies. From these measures, we developed new surveillance
items and subjected them to two rounds of cognitive testing, a common and accepted method for
evaluating questionnaire wording. Results: Our review suggests that high levels of awareness of PREPs reported in some studies are
likely to be inaccurate. Two likely sources of inaccuracy in awareness measures were identified: 1)
the tendency of respondents to misclassify "no additive" and "natural" cigarettes as PREPs and 2)
the tendency of respondents to mistakenly report awareness as a result of confusion between
PREPs brands and similarly named familiar products, for example, Eclipse chewing gum and Accord
automobiles. Conclusion: After evaluating new measures with cognitive interviews, we conclude that as of
winter 2006, awareness of reduced exposure products among U.S. smokers was likely to be
between 1% and 8%, with the higher estimates for some products occurring in test markets. Recommended measurement strategies for future surveys are presented. Page 1 of 8
(page number not for citation purposes) (page number not for citation purposes) http://www.harmreductionjournal.com/content/6/1/27 Harm Reduction Journal 2009, 6:27 http://www.harmreductionjournal.com/content/6/1/27 http://www.harmreductionjournal.com/content/6/1/27 Background There are three major challenges in developing surveil-
lance measures. The first challenge is the fact that aware-
ness is currently very low. Many PREPs are available only
in limited test markets. Another challenge is that the
PREPs themselves and their marketing often change with-
out notice, making comparisons in awareness, use and
risk perceptions difficult to make over time. A third chal-
lenge is the fact that there is no single, agreed-upon defi-
nition of a PREP across the public health community. Regardless of these hurdles, it is important to develop sur-
vey measures now, to be prepared for the large scale intro-
duction and marketing of PREPs that is coming, and it is
vital to have stable measures that can be used across sur-
veys so that comparisons can be made with confidence
that observed changes over time and across surveys are
due to true changes and not to differences in survey meas-
ures. Page 2 of 8
(page number not for citation purposes) Methods Methods
Currently available survey measures, as of 2006, were
identified by reviewing published literature on consumer
reactions to PREPs (using a number of search terms,
including PREPs, new tobacco products, and reduced
exposure) and by soliciting input about ongoing and
unpublished studies from members of the project advi-
sory group, members of the Tobacco Harm Reduction
Network, and other members of the tobacco research
community. Additional file 1 is a list of the 16 studies that
were identified, seven in the published literature (A1 thru
A7) and nine of which were unpublished (A8 through
A16). We reviewed all of the PREPs-related questions as
well as data on responses to the questions where they were
available. A full listing of PREPs-related questions from
the included studies is available from the first author. This
review of measures and results included analysis of the
question features and creation of a taxonomy of question
structure. From this we developed new surveillance items
using many of the previously identified item features. We
subjected the new questions to two rounds of cognitive
testing, a common and accepted method for evaluating
questionnaire wording [23]. Cognitive testing is done
with intensive, one-on-one interviews in which partici-
pants are usually asked to summarize their understanding
of the meaning of questions and to provide a narrative
explanation of how they arrived at an answer to a ques-
tion by concurrently thinking out loud as they answer the
question. This allows an evaluation of the question-and-
answer process, question comprehension, how answers This paper describes the development of survey items that
could aid in the ongoing surveillance of PREPs in U.S. markets. The first phase in the development effort was a
review and critique of current survey measures. The sec-
ond phase included developing a surveillance instrument
and evaluating it by means of two rounds of in-depth cog-
nitive interviews. This paper addresses measurement of
product awareness. Other domains, including risk percep-
tion, current use, interest in use, and trial, are covered in
the full technical reports [21,22]. The decision to focus
first on awareness, and not the other domains, is based on Page 2 of 8
(page number not for citation purposes) Page 2 of 8
(page number not for citation purposes) http://www.harmreductionjournal.com/content/6/1/27 http://www.harmreductionjournal.com/content/6/1/27 Harm Reduction Journal 2009, 6:27 The Structure of PREPs Awareness Questions
Figure 1
The Structure of PREPs Awareness Questions. The Struc
Figure 1 Q
g
The Structure of PREPs Awareness Questions. This
figure shows that the initial distinction between question
types is that they ask about PREPs in the abstract or they ask
about specific PREPs brands. Within each of those groups,
there are further divisions, as shown in the figure. g
The Structure of PREPs Awareness Questions. This
figure shows that the initial distinction between question
types is that they ask about PREPs in the abstract or they ask
about specific PREPs brands. Within each of those groups,
there are further divisions, as shown in the figure. of such products. There have been two ways of asking
about this type of conceptual awareness: Description of PREPs as "less harmful"
Five of the reviewed surveys [18, 24, A8, A10, A15] had a
question that asks whether a respondent is aware of a new
cigarette described generally as designed to be "less harm-
ful". Items using this strategy yield rather high awareness
estimates, with reports of over one-third of smokers hav-
ing heard of such "less harmful" cigarettes [18, A8, A15]. Results and Discussion The following sections address surveillance of awareness
of PREPs and are organized to first summarize current
measures, second to critique those measures and use them
as a way to develop a new measure of awareness, third to
present the results of the cognitive interviewing of a new
measure or awareness, and fourth to recommend a sur-
veillance measure. There are measures relating to both
combustible and non-combustible PREPs, and while the
following summary focuses on combustibles, the results
for non-combustibles are presented where they are differ-
ent or important. When referring to the unpublished stud-
ies or survey items, we note their sequence number from
Additional file 1. Description of the mechanism for harm reduction
A second way to measure general awareness of PREPs is to
start the question with a description of the mechanism by
which the harm reduction is supposed to be achieved,
such as the following example: Tobacco companies have recently introduced products
that look like cigarettes, but which heat the tobacco,
instead of burning it. They claim that these products
contain less tar and produce less environmental
tobacco smoke. They also say they that they give a
lower concentration of cancer-causing chemicals in
the smoke. (A9) Methods This
figure shows that the initial distinction between question
types is that they ask about PREPs in the abstract or they ask
about specific PREPs brands. Within each of those groups,
there are further divisions, as shown in the figure. AWARENESS
PREPs in the abstract
Specific brands
Describe as
less harmful
Describe the
mechanism
Recognition
Recall
Read
brand
name
Show
ad AWARENESS
PREPs in the abstract
Specific brands
Describe as
less harmful
Describe the
mechanism
Recognition
Recall
Read
brand
name
Show
ad were formed, and what the answers mean, towards the
goal of making sure that there is consistency of interpreta-
tion across respondents [23]. In January 2007, seven cognitive interviews were con-
ducted in the Boston, MA area, where at least one combus-
tible PREP had been available, and one month later, eight
interviews were done in Austin, TX, a test market for
Camel Snus, a smokeless PREP. The respondents, 11
smokers and four former smokers, were recruited from
newspaper advertisements and campus postings. The
interviews were conducted by two senior level researchers
and one professional interviewer. Respondents were paid
$50 for their participation. The interviews, which used
concurrent think-aloud techniques, took approximately
45 minutes to complete. All interviews were audio-taped
with participants' permission. Variations in wording were
tested in these cognitive interviews and probing questions
were used to understand respondents' comprehension of
the questions. For example, if a respondent said she was
aware of a PREP, she would be asked to describe what she
knew about it to see if she was really talking about the
right product. We probed sufficiently to determine
whether or not we believed she answered the tested aware-
ness item correctly and, thus, made a judgment as to
whether or not the tested item yielded an accurate or inac-
curate indicator of awareness. Recognition Show
ad Presenting names of one or more specific PREPs Presenting names of one or more specific PREPs Presenting names of one or more specific PREPs Critique of Existing Measures q
f
g
The two ways of asking about PREPs awareness in the
abstract - describing them as "less harmful" and describ-
ing the mechanism - each has limitations. The description
of PREPs as less harmful followed by a question asking if
they've heard of such a product results in artificially high
estimates of awareness because respondents may under-
stand the question to include products marketed as "nat-
ural" or "additive free". This is apparent when there is a
follow-up question (unaided recall) asking the respond-
ent to name a "less harmful" product, and they name
brands such as American Spirit and Winston No Bull,
which are not PREPs. It is not surprising that consumers
view products such as American Spirit and Winston No
Bull as less harmful, since they are marketed as "natural"
or "additive-free", messages that are associated with being
healthier. There is also a history of consumers' misunder-
standing the relative health risk of different tobacco prod-
ucts, including smokeless [18] and light cigarettes [27]. The abstract question about PREPs awareness by describ-
ing the mechanism of the PREP is a difficult approach for
ongoing surveillance. The difficulty is that the mechanism
used in the different products are highly variable and may
not be known or understandable when described to the
consumer. Further, it is not a good choice for ongoing sur-
veillance because of the variability. A good surveillance
item relies on stable measures that can be compared
across years and across markets as the new products
emerge. g
p
Use of a recognition question, in which the brand name is
provided and respondents indicate whether they have
heard of it, often yields high reports of knowledge of spe-
cific brands, as high as 53% [25]. Show a product advertisement In two studies [26, A14], respondents were shown adver-
tisements for specific PREPs brands and were then asked
if they had seen the ads for these brands before. Among
smokers in the one study with available data, awareness
measured this way was just below 8% for the PREP shown
[26]. http://www.harmreductionjournal.com/content/6/1/27 Harm Reduction Journal 2009, 6:27 Summary of Existing Measures In our review of current measures, we identified the struc-
ture of PREPs awareness questions. Figure 1 is a summary
of the structure, showing that the initial distinction
between questions is whether they ask about PREPs in the
abstract or about specific PREPs brands. Within each of
those groups, there are further divisions. When asked if they had heard of these products, only
about 13% of smokers said Yes. As shown on the right side of Figure 1, two general
approaches have been used to measure awareness of spe-
cific PREPs products: 1) recognition of specific products
by either presenting brand names or showing a product
advertisement and 2) unaided recall of products. As shown on the left side of the figure, a common strategy
for measuring awareness of a product is to describe the
general concept and ask whether the respondent is aware Page 3 of 8
(page number not for citation purposes) Page 3 of 8
(page number not for citation purposes) http://www.harmreductionjournal.com/content/6/1/27 Unaided recall of brand names Generally, use of recall strategies, which require respond-
ents to come up with brand names on their own, yields
very low reports, and many of the brands that respondents
name are not PREPs at all. In two of the studies, none of
the brands of "less harmful" tobacco products recalled
were PREPs [24, A10]. Some of the named products were
so-called "natural" cigarettes (such as American Spirit) or
nicotine replacement products (such as Nicorette and
Nicoderm). In the other four studies that used unaided
recall [18, A8, A9, A15], the reports of actual PREPs brands
ranged from about 1% to about 8% of smokers. There
were many reports of non-PREPs, including American
Spirit and Quest, a nicotine step-down brand. Table 1 summarizes the current measures of awareness
and the estimates they yield. The two ways of asking about awareness of specific PREPs
brands - through recognition or recall of brand names -
also have limitations. As shown in summary Table 1, the
rates of awareness resulting from recognition measures are
often very high, ranging from 11% of smokers (A11) to
53% of smokers [25]. We suspected that these rates were
over-reports because a number of PREPs brands share
names with other products. For example, Eclipse, Accord
and Omni are all combustible PREPS that share their At the time of this review, only two surveys [25, A13] had
attempted to measure awareness of non-combustible
PREPs by naming them (Ariva, Revel, Exalt, and Stone-
wall) along with other types of PREPs and asking the
respondent if he/she had heard of them. Among the four
smokeless products listed, rates of awareness among
smokers ranged from 3% to 6% [25]. Table 1: Current Measures of Awareness of Combustible PREPs Table 1: Current Measures of Awareness of Combustible PREPs Table 1: Current Measures of Awareness of Combustible PREPs
HOW SURVEYS ASK ABOUT AWARENESS
Percent of smokers affirming awareness
Studies with data
(citation numbers shown)*
Describe PREPs as "less harmful"
19-40%
[18]; (A8. A10, A15)
Describe mechanism of PREP
13%
(A9)
Recognition - read names
11-53%
[24,25]; (A11)
Recognition - show a product advertisement
8%
[26]
Unaided recall
0-8%
[18,24]; (A8, A9, A10, A15)
*Citations A8 through A15 refer to unpublished studies listed in Additional file 1. *Citations A8 through A15 refer to unpublished studies listed in Additional file 1. *Citations A8 through A15 refer to unpublished studies listed in Additional file 1. http://www.harmreductionjournal.com/content/6/1/27 http://www.harmreductionjournal.com/content/6/1/27 Harm Reduction Journal 2009, 6:27 name with, respectively, a chewing gum, a car, and a hotel. When respondents say they recognize those names, we
cannot be certain that they are thinking of the cigarette
brand or if they simply recognize the name more generally
and, therefore, report having heard of it. An alternative
recognition approach, showing a product advertisement,
has the same limitation as describing the mechanism,
which is that it is an impractical approach for ongoing sur-
veillance. priate descriptions of the brands from the two respond-
ents that confirmed their legitimate recollection. A third
person who said Yes to the conceptual awareness question
could not recall any brand names but described PREPs in
a way that suggested that she really was aware of them (i.e. she reported that they were lower in carcinogens and that
she had seen a TV documentary about them). The three
other participants who said Yes to the combustible PREPs
awareness question went on to name non-PREPs like
American Spirit, Winston No Bull, nicotine products, and
even Newport Lights. Use of an unaided recall awareness question typically fol-
lows a question that asks about PREPs in the abstract. As
described earlier, we know that what respondents name in
these unaided recall questions is often not a PREP at all,
but other products that they consider less harmful, such as
products advertised as more natural, additive free, or quit
aids. Unaided recall (If yes to conceptual awareness) Can you recall any
brand names of these products? Considering only the recognition responses (ignoring
recall for the moment, even though recognition would be
different if it did not follow recall), we would conclude
that 4 out of 15 participants were aware of combustible
PREPs, based only on those who said they recognized a
real PREP and in probing, convinced us that they truly
were aware. Having the distracter names on the lists works
as a benchmark as to how much name recognition is
attributable to a familiar name, and not the specific PREP. (If yes to above) Please tell me the names of any
you recall. Conceptual awareness New types of cigarettes are now being developed that
are supposed to be less harmful than ordinary ciga-
rettes. Have you heard of such products? Follow-on recognition task I'm going to read you the names of some (other) rela-
tively new cigarettes. For each one, please tell me
whether or not you have ever heard of it. Since the new smokeless PREPs were not all being adver-
tised as being potentially less harmful, the introductory
question required a somewhat different approach to max-
imize the likelihood that someone who was aware of any
of the products would understand what was being referred
to. The unaided recall and follow-up recognition ques- Table 1: Current Measures of Awareness of Combustible PREPs The tradeoff, then, is between a small under-estimate of
awareness if a respondent is required to name a PREP in
order to be considered aware (one of the three who was
truly aware of PREPs was not counted because she failed
to name a PREP) or an even larger over-estimate if only
the yes/no conceptual awareness question is used to esti-
mate awareness (six who said they were aware instead of
the three who said they were aware and really were). We used these critiques of existing measures to develop a
new awareness measure to test in cognitive interviews. False recognition reports were common among partici-
pants. We included distracter brand names - two out of
seven brands listed in the Boston interviews and three out
of eight brands listed in Austin. Ten of the 15 participants
interviewed recognized 12 of the listed brands, but half of
those mentions were for our distracter products - three
said they "recognized" Kool Silver and three "recognized"
Westin. As a result of this high level of false recognition,
we are doubtful of the reports of actual PREPs because two
mentions were for Eclipse and two were for Marlboro
Ultrasmooth, both of which could be confused with other
products and be "recognized" by virtue of their familiar-
sounding names. Probes into what was known about
these brands (legitimate and bogus) yielded no convinc-
ing information that would lead us to believe that the
respondent was truly aware of the PREPs. For the two rounds of cognitive interviews, we asked first
about conceptual awareness of products described as less
harmful, followed by unaided recall to identify over-
reports in the conceptual awareness question, and then
recognition items, including fictitious items to gauge false
reports of similar sounding names. Following are the
items used to measure awareness of combustible PREPs: Conceptual awareness Page 5 of 8
(page number not for citation purposes) Unresolved Issue - Definition of a PREP Unresolved Issue Definition of a PREP
In order to monitor awareness of PREPs, researchers need
some agreement about what constitutes a PREP. Although
the definition originated by the Institute of Medicine
includes pharmaceutical agents, such as nicotine replace-
ment products [1], they were not the focus of our study
and, thus, were excluded from our definition. Likewise,
our definition excludes quit aids, such as Quest, and is
modeled after the one provided in Hatsukami and Hecht,
focusing on "tobacco products that have been modified or
designed in some way to reduce users' exposure to tobacco
toxins" [19]. Arguably, the essential characteristic of most
definitions is that they are talking about products
designed to yield reduced exposure to toxins. The prob-
lem is that many of these products are not currently being
advertised as entailing reduced exposure. To an important
extent, the design of the surveillance items being recom-
mended in this report is determined by current PREPs
marketing practices. Specifically, because the new smoke-
less products are not being advertised as less harmful than
cigarettes, the recommended awareness questions do not
include a statement that they are "supposed to be" or
"claim to be" less harmful. Most of the combustible PREPs
for which awareness is being assessed were advertised as
less harmful during the time that they were being actively
marketed, so the awareness question recommended here
includes language about reduced harm. However, market-
ing strategies are likely to change. Philip Morris did not
make any health claims while test-marketing Marlboro
Ultrasmooth, and the Eclipse and Advance web sites,
which originally featured extensive health claims, are no
longer readily accessible. This issue complicates assess-
ment of awareness of PREPs because although the public
health community may be aware that the product design
suggests an effort to reduce exposure to particular toxins,
the general public may be unaware of that effort while still
being aware of the new product. New types of smokeless tobacco products are now
available that are put in the mouth but don't involve
chewing or spitting. Some come in teabag-like
pouches and some come in the form of a lozenge or
tablet. Have you heard of any products like this? Since Austin is a test market for one of the new smokeless
PREPs, the results there were very different from results in
Boston, where awareness was minimal. Cognitive Interview Results In cognitive interviews, six of 15 participants said Yes to
the conceptual awareness question about combustible
PREPs. Of those, only two recalled the name of legitimate
PREPs. Cognitive probes (e.g., What do you know about
them? What have you heard about them?) yielded appro- Page 5 of 8
(page number not for citation purposes) Page 5 of 8
(page number not for citation purposes) http://www.harmreductionjournal.com/content/6/1/27 Harm Reduction Journal 2009, 6:27 tions were the same as was used for the combustible
PREPs. viewer-administered or web surveys where skips are possi-
ble and open-ended responses are feasible. This strategy is
not feasible for self-administered surveys. Recommendation for Measuring Awareness of PREPs Recommendation for Measuring Awareness of PREPs
We recommend that awareness of PREPS, both combusti-
ble and non-combustible, be measured using the concep-
tual awareness question, followed by unaided recall of a
brand so that those who name non-PREPs can be identi-
fied as unaware. These are the items that would be used at
present to estimate PREPs awareness. We also recommend
asking the recognition series, including distracter names,
as a way to monitor changes in both real and likely false
recognition of PREPs. However, we do not recommend
using the recognition data, alone or in conjunction with
the other data, to estimate current awareness of PREPs at
this time. As awareness increases, and the false reports
drop to a small proportion of recognized brands, it will be
time to consider how to combine the recall and recogni-
tion data to estimate awareness. Additional file 2 shows
the recommended series of items to measure awareness of
PREPs. It is important to consider that this recommended
strategy for measuring awareness is feasible for inter- Page 6 of 8
(page number not for citation purposes) Unresolved Issue - Definition of a PREP Essentially no one
in the Boston study group was aware of any smokeless
PREPs based on the conceptual description and unaided
recall. With regard to recognition, two participants
thought they had each heard of one of the named prod-
ucts, but there is no way to know whether these recogni-
tions were legitimate or whether they were simply
recognitions of a familiar brand name. In Austin, however, all eight respondents said "yes" to the
conceptual awareness question. Five of these participants
named either Camel Snus or a Skoal product in the fol-
lowup unaided recall question. If we accept as awareness
"yes" to the conceptual awareness questions followed by
a correct brand name recalled, we would conclude that
five of the eight participants in Austin were aware of
smokeless PREPs. The actual estimate for Austin should be
six of eight respondents, because one individual could not
name a brand but clearly described the Stonewall product. Hence, this strategy, as with the comparable combustible
measure, slightly underestimated awareness in a test mar-
ket. Surveillance in other important areas This paper covers only one of the domains of surveillance,
but there are a number of others that are important for
ongoing consideration. Specifically, interest in use, risk
perception and trial will be important areas to monitor as
PREPs become more common. Once one is reasonably
confident of having an accurate indicator of product
awareness, it will be important to have good measures in
these areas and to know whether consumers are over-esti-
mating or under-estimating the risks or potential health
gains of various products. This will be particularly impor-
tant as marketing messages change. Page 6 of 8
(page number not for citation purposes) Page 6 of 8
(page number not for citation purposes) http://www.harmreductionjournal.com/content/6/1/27 http://www.harmreductionjournal.com/content/6/1/27 http://www.harmreductionjournal.com/content/6/1/27 Harm Reduction Journal 2009, 6:27 Because all indications are that population levels of
awareness of PREPs are quite low, national population
monitoring of patterns of current use and impact on
changes in other tobacco use behavior seems unnecessary
at this time. As levels of PREPs awareness and trial
increase, as is likely to be the case with the new smokeless
products being introduced by the major cigarette manu-
facturers, we would advocate introduction of current use
measures in the surveillance program. Given the long lead
time required to introduce questions on Federal-level sur-
veys, it is, perhaps, appropriate to consider introducing
those questions now, so as to be prepared for the increase
in use when it happens. Likewise, communications
research that examines advertising, packaging, and health
claims for specific products are critical and should be con-
ducted. In order to be prepared to respond should these
products become more widely available, it is important to
learn how best to construct public health messages and
policy to both maximize potential public health benefits
of less harmful tobacco products and minimize negative
health consequences. studies suggest. In order to monitor changes in awareness,
we propose using a set of questions that appear to result
in reasonably accurate estimates of awareness of a partic-
ular group of products; the proposed items are presented
in Additional file 2. Given the currently very low levels of awareness and the
decision of the tobacco companies to introduce most of
their new products into test markets, it may fall on states
to use their rapid surveillance systems to take the lead in
measuring awareness. Surveillance in other important areas States in which there are regional
test markets could add questions to the Behavioral Risk
Factor Surveillance System (BRFSS) and the Adult
Tobacco Survey (ATS) to start the PREPs surveillance proc-
ess. At this stage, state surveys would be more successful
than national studies that will not have enough respond-
ents within test market regions to detect small movements
in awareness. These states could compare test market areas
to non-test market areas within their states, as well as
make comparisons across states, if surveys adopt the same
wording. Once awareness increases, it will be time for sur-
veys to include surveillance measures in other important
domains. However, Camel Snus, a smokeless PREP, was
released nationally in 2009 [28], so it is certainly the right
time to consider adding an awareness surveillance meas-
ure at the national level as well. In addition to the PREPs covered in this report, there are a
variety of other products that may be believed to be less
harmful than cigarettes, and which may be used by con-
sumers in an effort to reduce their tobacco-related health
risks. These include conventional smokeless tobacco,
medicinal nicotine, e-cigarettes, other non-tobacco nico-
tine products, and tobacco products that claim to be "nat-
ural" (i.e. have no additives), etc. A thorough
understanding of population perceptions about ways to
reduce the risks of smoking (aside from quitting), along
with the prevalence of behaviors believed by consumers
to reduce risk, would be a useful endeavor. It must be acknowledged that the evaluation of items in
this paper was limited by the low number of respondents
and by the fact that those included were of relatively high
socio-economic status. Prior to any large scale use of these
survey items, we recommend further pre-tests be done
using other survey modes (telephone and self-adminis-
tered), and that an effort be made to include respondents
with lower levels of education and with greater cultural
diversity. It is also important to recognize that population surveil-
lance is just one way to collect data about PREPs. In the
development of a science to evaluate PREPs, other strate-
gies, including lab research, qualitative studies, and
review of tobacco industry information, are needed to get
a full picture. This paper focuses on population surveil-
lance measures from surveys and does not cover the full
array of monitoring strategies. Authors' contributions KB and LB worked on the review of previous studies,
designed the research project, completed the cognitive
interviews of draft questions, and worked on the two
reports on which this manuscript is based. KB drafted this
manuscript; LB contributed extensively to its completion. CAG provided all manner of research support on the ear-
lier reports for this project, including literature reviews,
and on this manuscript. SM and MP were the research
officers on the original project from which this manu-
script derives. AM, RO, MP and LP were on the project
advisory group, which helped design the interview ques-
tions and to interpret the results. All co-authors partici- Surveillance in other important areas However, surveys are par-
ticularly useful for estimating prevalence of awareness,
interest and use, as well as perceptions, and it is important
to develop accurate surveillance measures to track changes
in these areas over time, as the number of PREPs on the
market increases. Competing interests p
g
The authors declare that they have no competing interests. http://www.harmreductionjournal.com/content/6/1/27 Harm Reduction Journal 2009, 6:27 12. pated in discussions of the findings, provided numerous
reviews of this manuscript, and read and approved the
manuscript. 12. Gartner CE, Hall WD, Vos T, Bertram MY, Wallace AL, Lim SS:
Assessment of Swedish snus for tobacco harm reduction: An
epidemiological modelling study. The Lancet 2007. 13. Luo J, Ye W, Zendehdel K, Adami J, Adami H-O, Boffetta P, Nyrén O:
Oral use of Swedish moist snuff (snus) and risk for cancer of
the mouth, lung, and pancreas in male construction workers:
A
restrospective
cohort
study. The
Lancet
2007,
369(9578):2015-2020. Additional file 2 (
)
18. O'Connor RJ, Hyland A, Giovino GA, Fong GT, Cummings KM:
Smoker Awareness of and Beliefs About Supposedly Less-
Harmful Tobacco Products. American Journal of Preventive Medi-
cine 2005, 29(2):85-90. [http://www.biomedcentral.com/content/supplementary/1477-
7517-6-27-S2.DOC] 19. Hatsukami D, Hecht SS: Hope or Hazard? What Research Tells
Us About "Potentially Reduced-Exposure" Tobacco Prod-
ucts. 2005 [http://www.tturc.umn.edu/documents/hope_or_hazard-
3.pdf]. Accessed January 5, 2009 p ]
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20. Hatsukami DK, Lemmonds C, Tomar SL: Smokeless tobacco use:
harm reduction or induction approach? Prev Med 2004,
38(3):309-317. Additional material Additional file 1
Studies included in the summary. This is a list of the published and
unpublished studies that were included in this study summary. They rep-
resent the currently available survey measures as of 2006. Click here for file
[http://www.biomedcentral.com/content/supplementary/1477-
7517-6-27-S1.DOC]
Additional file 2
Recommended items. This is a list of the recommended series of items to
measure awareness of PREPs. Click here for file
[http://www.biomedcentral.com/content/supplementary/1477-
7517-6-27-S2.DOC] (
)
14. Critchley J, Unal B: Health effects associated with smokeless
tobacco: A systematic review. Thorax 2003, 58(5):435-443. Acknowledgements This research was supported by contract # NCI-60036-NG from the
National Cancer Institute, and by Grant # CA086257. The authors would
like to thank the other members of the project advisory group, who pro-
vided valuable ideas at all stages of this project: Jack Fowler, Gary Giovino,
Lynn Kozlowski, and Gordon Willis. ( )
21. Biener L, Bogen K, Garrett CA: PREPs Surveillance: Summary of
Existing Survey Measures and Recommendations for Ongo-
ing Efforts. 2006 [http://www.csr.umb.edu/pdf/tech_report/
PREPs%20Surv%20Report%201.pdf]. Accessed 7/1/08 p
p ]
22. Biener L, Bogen K: PREPs Surveillance: Summary of Cognitive
Interviews and Recommendations for PREPs Surveillance
Measures. 2007
[http://www.csr.umb.edu/pdf/tech_report/
PREPs%20Surv%20Report%202.pdf]. Accessed 7/1/08 Additional file 1 15. Levy DT, Mumford EA, Cummings KM, Gilpin EA, Giovino G, Hyland
A, Sweanor D, Warner KE: The relative risks of a low-nitro-
samine smokeless tobacco product compared with smoking
cigarettes: estimates of a panel of experts. Cancer Epidemiology,
Biomarkers, and Prevention 2004, 13(12):2035-2042. 16. Savitz DA, Meyer RE, Tanzer JM, Mirvish SS, Lewin F: Public health
implications of smokeless tobacco use as a harm reduction
strategy. American Journal of Public Health 2006, 96(11):1934-1939. ' 17. O'Connor RJ, McNeill A, Borland R, Hammond D, King B, Boudreau
C, Cummings KM: Smokers' beliefs about the relative safety of
other tobacco products: findings from the ITC collaboration. Nicotine & Tob Research 2007, 9(10):1033-1042. References 1. Stratton K, Shetty P, Wallace R, Bondurant S, eds: Clearing the Smoke:
Assessing the Science Base for Tobacco Harm Reduction Washington,
D.C.: National Academy Press; 2001. 1. Stratton K, Shetty P, Wallace R, Bondurant S, eds: Clearing the Smoke:
Assessing the Science Base for Tobacco Harm Reduction Washington,
D.C.: National Academy Press; 2001. 1. Stratton K, Shetty P, Wallace R, Bondurant S, eds: Clearing the Smoke:
Assessing the Science Base for Tobacco Harm Reduction Washington,
D.C.: National Academy Press; 2001. p
p ]
23. Willis GB: Cognitive Interviewing: A Tool for Improving Questionnaire
Design Thousand Oaks, CA: Sage Publications, Inc; 2005. 24. Hund LM, Farrelly MC, Allen JA, Chou RH, St. Claire AW, Vallone
DM, Healton CG: Findings and implications from a national
study on potential reduced exposure products (PREPs). Nic-
otine & Tobacco Research 2006, 8(6):791-797. y
2. Pederson LL, Nelson DE: Literature review and summary of
perceptions, attitudes, beliefs, and marketing of potentially
reduced exposure products: communication implications. Nicotine & Tobacco Research 2007, 9(5):525-534. ( )
25. Hamilton WL, diStefano Norton G, Ouellette TK, Rhodes WL, Kling
R, Connolly GN: Smokers' responses to advertisements for
regular and light cigarettes and potential reduced-exposure
tobacco products. Nicotine and Tobacco Research 2004, 6(Supple-
ment 3):S353-S362. ( )
3. Hickman N, Klonoff EA, Landrine H, Kashima K, Parekh B, Fernandez
S, Thomas K, Brouillard C: Preliminary Investigation of the
Advertising and Availability of PREPs, the New "Safe"
Tobacco Products. Journal of Behavioral Medicine 2004,
27(4):413-424. )
26. Parascandola M, Hurd A, Augustson E: Consumer Awareness and
Attitudes Related to New Potential Reduced-Exposure
Tobacco Products. Am J Health Behav 2008, 32(4):431-437. ( )
4. Hatsukami DK, Ebbert JO, Feuer RM, Stepanov I, Hecht SS: Chang-
ing smokeless tobacco products: New tobacco-delivery sys-
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( )
27. Kozlowski LT, Goldberg ME, Yost BA, White EL, Sweeney CT, Pillit-
teri JL: Smokers' misperceptions of light and ultra-light ciga-
rettes may keep them smoking. American Journal of Preventive
Medicine 1998, 15(1):9-16. (
)
5. Joseph AM, Hennrikus D, Thoele MJ, Krueger R, Hatsukami D: Com-
munity tobacco control leaders' perceptions of harm reduc-
tion. Tobacco Control 2004, 13(2):108-113. ( )
28. RJ Reynolds' Snus Goes National: Convenience Store News 2008 [http:/
/www.csnews.com/csn/cat_management/tobacco/
article_display.jsp?vnu_content_id=1003875892]. ( )
6. Martin EG, Warner KE, Lantz PM: Tobacco harm reduction:
what do the experts think? Tobacco Control 2004, 13(2):123-128. 6. Conclusion A review of existing research on population awareness of
PREPs as well as results of cognitive interviews suggest
that awareness of PREPs is quite low at this time, except in
active test-markets, and is lower than some published Page 7 of 8
(page number not for citation purposes) Page 7 of 8
(page number not for citation purposes) http://www.harmreductionjournal.com/content/6/1/27 28.
RJ Reynolds' Snus Goes National: Convenience Store News 2008 [http:/
/www.csnews.com/csn/cat_management/tobacco/
article_display.jsp?vnu_content_id=1003875892]. References Martin EG, Warner KE, Lantz PM: Tobacco harm reduction:
what do the experts think? Tobacco Control 2004, 13(2):123-128. 7. Parascandola M, Augustson E, O'Connell ME, Marcus S: Consumer
awareness and attitudes related to new potential reduced-
exposure tobacco product brands. Nicotine and Tobacco Research
2009, 11(7):886-895. p
,
( )
7. Parascandola M, Augustson E, O'Connell ME, Marcus S: Consumer
awareness and attitudes related to new potential reduced-
exposure tobacco product brands. Nicotine and Tobacco Research
2009, 11(7):886-895. ,
( )
8. Caraballo RS, Pederson LL, Gupta N: New tobacco products: do
smokers like them? Tobacco Control 2006, 15(1):39-44. ,
( )
9. Shiffman S, Pillitteri JL, Burton SL, Di Marino ME: Smoker and ex-
smoker reactions to cigarettes claiming reduced risk. Tobacco Control 2004, 13:78-84. 10. Foulds J, Kozlowski L: Snus-what should the public-health
response be? The Lancet 2007. p
11. Foulds J, Ramström LM, Burke M, Fagerstrom K: Effect of smoke-
less tobacco (snus) on smoking and public health in Sweden. Tobacco Control 2003, 12(4):349-359. Page 8 of 8
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Sharing information between related diseases using Bayesian joint fine mapping increases accuracy and identifies novel associations in six immune mediated diseases
|
bioRxiv (Cold Spring Harbor Laboratory)
| 2,019
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cc-by
| 21,052
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ARTICLE ARTICLE Stochastic search and joint fine-mapping increases
accuracy and identifies previously unreported
associations in immune-mediated diseases T
he underlying genetic contribution to many complex
diseases and traits has been investigated with great success
by genome-wide association studies (GWAS). Various
approaches have identified thousands of variants associated with
a spectrum of diseases. In particular, much progress has been
made in the genetics of immune-mediated diseases (IMD),
revealing a complex pattern of shared and overlapping genetic
etiology1,2. gy
Fine-mapping—the process of distinguishing causal genetic
variants from their neighbours—is an essential step to enable the
design of functional assays required to understand the mechan-
ism by which the region impacts disease risk, but it is complicated
by linkage disequilibrium (LD)3. The problem is often approa-
ched through stepwise regression4,5, which assumes that statis-
tical inference of the best joint model (i.e. a model with multiple
causal SNPs) can be derived by starting with the most
significant SNP, then conditioning on this and adding the next
most significant, continuing this conditioning until no con-
ditionally significant SNPs remain. It has been noted that the SNP
with the smallest p-value need not be causal, especially if it is in
LD with two causal SNPs6. Alternative Bayesian fine-mapping
methods have been developed, which use a stochastic search
instead of stepwise search7–9. Stepwise and stochastic search
results may disagree9 and although stochastic search generally
demonstrates improved accuracy10 these techniques have not yet
been widely adopted. While one of the strengths of Bayesian methods is that multiple
competing models can be identified with posterior support for
each, for the purposes of comparing stochastic search and
stepwise search results, we chose to focus on discrepancies
between the best models chosen for each. In all regions, the model
preferred by stochastic search either had equal or better Bayesian
Information Criterion (BIC) and equal or larger number of
variants compared to the model chosen by stepwise search
(Supplementary Fig. 6). For 16 regions (18 disease-region pairs)
the stepwise model was nested in that of stochastic search
(treating SNPs in the same SNP group as equivalent; Supple-
mentary Table 2). In six regions (6 disease-region pairs) there
appeared to be two separate signals, both weak (2 × 10–10 < p <
4 × 10−6 by single SNP logistic regression) with stochastic search
posterior
support
fairly
evenly
shared
between
the
two
SNP groups, and the SNP selected by stepwise search falls in
the group with slightly less posterior support (Table 1). Stochastic search and joint fine-mapping increases
accuracy and identifies previously unreported
associations in immune-mediated diseases Jennifer L. Asimit
1, Daniel B. Rainbow
2, Mary D. Fortune
1, Nastasiya F. Gri
Linda S. Wicker
2 & Chris Wallace
1,3 Jennifer L. Asimit
1, Daniel B. Rainbow
2, Mary D. Fortune
1, Nastasiya F. Grinberg
3,
Linda S. Wicker
2 & Chris Wallace
1,3 Thousands of genetic variants are associated with human disease risk, but linkage dis-
equilibrium (LD) hinders fine-mapping the causal variants. Both lack of power, and joint
tagging of two or more distinct causal variants by a single non-causal SNP, lead to inac-
curacies in fine-mapping, with stochastic search more robust than stepwise. We develop a
computationally efficient multinomial fine-mapping (MFM) approach that borrows informa-
tion between diseases in a Bayesian framework. We show that MFM has greater accuracy
than single disease analysis when shared causal variants exist, and negligible loss of precision
otherwise. MFM analysis of six immune-mediated diseases reveals causal variants unde-
tected in individual disease analysis, including in IL2RA where we confirm functional effects of
multiple causal variants using allele-specific expression in sorted CD4+ T cells from
genotype-selected individuals. MFM has the potential to increase fine-mapping resolution in
related diseases enabling the identification of associated cellular and molecular phenotypes. 1 MRC Biostatistics Unit, University of Cambridge, Cambridge Institute of Public Health, Forvie Site, Robinson Way, Cambridge Biomedical Campus,
Cambridge CB2 0SR, UK. 2 JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Trust Center for Human Genetics, Nuffield Department of
Medicine, University of Oxford, Oxford OX3 7BN, UK. 3 Department of Medicine, Cambridge Biomedical Campus, University of Cambridge, Box 157, Level 4,
Cambridge CB2 0QQ, UK. Correspondence and requests for materials should be addressed to J.L.A. (email: jennifer.asimit@mrc-bsu.cam.ac.uk)
or to C.W. (email: cew54@cam.ac.uk) 1 NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.103 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 T statistically distinguishable within the group. When we discuss a
SNP group model, e.g. model A + B, we mean the collection of
models that include exactly one SNP from group A and exactly
one SNP from group B, and no others. We consider posterior
support for each grouped model (GPP) as the sum of posterior
probabilities overall SNP models in that group when interpreting
the stochastic search results. SNP group membership is shown in
Supplementary Data 3. Stochastic search and joint fine-mapping increases
accuracy and identifies previously unreported
associations in immune-mediated diseases In a
further
four
regions
(five
disease-region
pairs)
we
found
non-nested stochastic/stepwise mismatches, which could not be
explained simply. y
p
Here, we systematically compare stepwise and stochastic
approaches by application to dense genotype data for six IMD,
aiming to address the frequency and causes of disagreement
between results. We find that stochastic search solutions are more
likely to be correct than stepwise search results when sample sizes
are large, but that they can face similar issues to stepwise searches
when sample sizes are small. We also observe a striking sharing of
causal variants between different IMD, consistent with previous
reports1,2, which motivates us to propose a Bayesian multinomial
stochastic search method, in which multiple related diseases can
be simultaneously fine-mapped. This allows us to borrow infor-
mation between diseases and achieve correct fine-mapping solu-
tions at smaller sample sizes than when considering individual
diseases alone. We show that posterior probabilities under our
proposed model can be decomposed into quantities available
from single disease analyses, allowing it to be applied without
excessive additional computational overhead. Joint tagging of stochastic search models by stepwise SNPs. We
investigated these five mismatch cases further, both mathemati-
cally and using simulation, hypothesising that they may reflect
cases where the SNP with smallest p-value acts to tag both of two
distinct causal variants17. We walk through these results using the
example of ATD in a chromosome 10p region. Haplotype ana-
lysis, which estimates effects for all observed combinations of
alleles across these three SNPs, illustrates how the minor allele of
stepwise search-selected SNP rs706779 (a member of group J)
tends to be carried together with the minor alleles of stochastic
search-selected SNPs rs61839660 (group A) and rs11594656
(group C) (Fig. 1a). Considering the haplotypes formed from
rs61839660/A, rs706779/J and rs11594656/C, we see that while
haplotypes carrying the rs706779:C allele in the presence of either
rs61839660:T or rs11594656:A (haplotypes TCT or CCA) are
protective for ATD, a haplotype carrying rs706779:C in combi-
nation with rs61839660:C and rs11594656:T (CCT, frequency
13%) is indistinguishable from the common (susceptible) haplo-
type CTT (Fig. 1a, p = 0.24, Wald test). NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications Results
h Doing so, we found that 20–40% of potential
common causal variant pairs (MAF > 5%) had a potential joint
tag, though this was highly variable across regions (Fig. 2b, c,
Supplementary Data 4) and should be considered an upper limit
because our assumption of equal effect sizes may not be justified. Together, these results better characterise and quantify the
potential frequency of joint tagging, in which a non-causal SNP
carried on population haplotypes together with distinct causal
SNPs with similar effects may have a smaller single SNP p-value
than either causal variant itself. This can cause stepwise search to
get stuck on the tag, whereas stochastic search will find both
causal variants, if the sample sizes are large enough. With smaller
sample sizes, stochastic search may also choose the tag, because
such samples may not contain enough information to overcome
the strong penalty needed by more complex models to avoid
over-fitting. Thus, joint tagging may potentially affect many more
cases than identified above by the simple comparison of stepwise
and stochastic search results from fixed sample sizes. Proposed method for fine-mapping multiple diseases. We
noticed a striking overlap between the fine-mapping results for
different diseases in these regions, with 20 of 30 regions with two
or more associated diseases showing evidence of overlap (Sup-
plementary Fig. 8), consistent with previous reports of shared
genetic etiology between the diseases2, which inspired the crea-
tion of the ImmunoChip. This motivated us to exploit the sharing
between diseases, extending the stochastic search approach to
jointly analyse multiple diseases, borrowing information between
them, to help overcome sample size limitations. We use a mul-
tinomial logistic regression framework, the natural extension of
the binomial logistic model, where each individual is assumed to
belong to exactly one disease group or a pooled group of controls
shared between diseases. This formally accounts for the sharing of
controls between diseases in different studies. Each row summarises results for a single region, defined by chromosome, start and end coordinates (hg19), with neighbouring or
which SNP group it belongs to, by a letter in front of the SNP rs ID; the SNP group size, p-value of the SNP, and stochastic search
p-values from these models are given. Results
h Table 1 Regions having conflicting models selected by stepwise and stochastic search
Region
Disease
SW model
SW P-value
SW model GPP
SW SNP
group size
SS model
P-value(s)
SS GPP
SNP
group size(s)
LD
2q-100544954-101038647 (AFF3)
iRA
A/rs10209110
3.79 × 10−9
0.427
32
C/rs13415465
1.96 × 10−8
0.514
93
0.46
2q-231076289-231235886 (SP110, SP140, SP140L)
iCEL
C/rs62192167
8.49 × 10−7
0.374
4
B/rs12694846
3.62 × 10−6
0.44
18
0.12
7p-50246236-50365063 (IKZF1)
T1D
A/rs2168587
8.10 × 10−7
0.123
1
D/rs17552787
2.46 × 10−6
0.457
20
0.094
7p-50366637-50694384 (DDC, FIGNL1, GRB10, IKZF1)
T1D
B/rs34046423
2.08 × 10−10
0.226
35
A/rs10264390
2.89 × 10−9
0.657
37
0.4
15q-67414055-67469568 (SMAD3)
iCEL
A/rs2289261
2.48 × 10−7
0.324
15
B/rs8024330
1.74 × 10−6
0.342
20
0.24
20p-1497197-1689461 (SIRPD/SIRPB1)
T1D
B/rs202535
6.79 × 10−9
0.221
9
C/rs202536
1.25 × 10−8
0.391
21
0.49
2q-204446380-204816382 (CTLA4)
T1D
G/rs3087243
3.89 × 10−17
0.00281
32
H/rs231779 + E/rs370078940
2.10 × 10−21
1.36 × 10−8
0.765
52
31
0.50
0.07
iRA
G/rs3087243
1.54 × 10−7
0.00787
32
H/rs34029700 + E/rs7422494
7.04 × 10−9
4.39 × 10−9
0.753
52
31
0.26
0.05
4q-122973062-123565302 (IL2/IL21)
T1D
D/rs77516441
3.97 × 10−14
0.0193
13
F/rs13122213 + A/rs6837165
1.05 × 10−9
3.43 × 10−16
0.85
53
106
0.20
0.23
10p-6030000-6220000 (IL2RA)
ATD
J/rs706779
4.63 × 10−8
0.011
2
C/rs2476491 + A/rs61839660
2.89 × 10−9
1.96 × 10−8
0.954
8
31
0.34
0.13
14q-101290463-101328739 (MEG3)
T1D
C/rs34552516
9.69 × 10−10
0.0814
5
B/rs1054000 + A/rs11160606
1.13 × 10−11
2.36 × 10−6
0.777
5
16
0.29
0.30
NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.or g
pp
y
g
Finally, we showed that the pattern of LD between three SNPs
(two causal and a third tag), together with MAF (minor allele
frequency) and effect sizes, determine whether a tag SNP has the
smallest expected p-value (Fig. 2a, Supplementary Note 1). At the
extremes of this pattern, there is a non-zero probability that the
tag model will be erroneously selected, even by a criterion such as
BIC which penalises the larger model (Supplementary Note 2). While we cannot identify how many cases of joint tagging may
exist in our GWAS data because the causal variants are unknown,
we can quantify what proportion of 3 SNP LD matrices match
this pattern under an assumption of equal odds ratios at the
causal variants. Results
h Stochastic and stepwise search differences in 10% of regions. We systematically applied stepwise and stochastic search fine-
mapping to dense genotyping data from ImmunoChip studies of
six IMD: type 1 diabetes (T1D)11, multiple sclerosis (MS)12,
autoimmune thyroid disease (ATD)13, celiac disease (CEL)14,
juvenile idiopathic arthritis (JIA)15 and rheumatoid arthritis (RA)
16 (sample sizes given in Supplementary Table 1) in 90 densely
mapped regions with at least one associated disease (Supple-
mentary Data 1), 204 disease-region combinations in total. Results are given in Supplementary Data 2–3. For RA and CEL,
we performed parallel analyses in UK-only and UK + interna-
tional samples (iRA and iCEL, respectively). Simulations showed that if the J model (any model with exactly
one SNP from group J) were true, both stepwise and stochastic
search would correctly identify it (Fig. 1b, Supplementary
Table 3). In contrast, if the A + C model (2-SNP model with a
SNP from each of groups A and C) were true, stepwise got stuck
on J, while stochastic search moved from selecting J at lower
sample sizes, to A + C at higher sample sizes (Fig. 1b,
Supplementary Table 4, further examples in other regions/
diseases in Supplementary Tables 5–8, SNP group membership in
Supplementary Data 3). A small perturbation on the simulated
effect sizes for A + C led both methods to select C or A + C
directly, indicating that the potential for joint tagging was
dependent on the combined effect sizes. Unlike stepwise search which produces a single best model,
stochastic search results are a posterior probability distribution
across typically thousands of potential causal variant models. To
make these more interpretable, SNPs in high LD which meet the
criteria of substitutability (see Methods) were grouped. The
identification of SNP groups is a feature of stochastic search—
generally, SNPs in a group have high LD and similar evidence for
association, such that a single candidate causal variant is not We explored a broader range of combined effect sizes
mathematically, finding that there was a high probability of J
having the smallest p-value when A and C were causal only when
A and C had similar odds ratios; and that our observed data fell 2 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 within this region (Fig. 1c). A similar pattern was seen at all other
mismatch regions (Supplementary Fig. 7). NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 ARTICLE C
C
C
T
C
C
C
T
T
T
T
A
rs61839660 rs706779 rs11594656
SNP
Haplotypes
0
10
20
30
40
50
Fq (%)
Frequency
−0.4
−0.3
−0.2
−0.1
0.0
Log OR
Effects
A + C causal
a
c
Null
J
AC
Other
Null
J
AC
A+C
Other
Null
C
A + C
J
Other
C
A + C
nullJ
Other
Null
A
A+CC
J
Other
Null
A + C
CJ
Other
J
A < C
A > C
Stepwise
Stochastic
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
b
1.0
Pr J
top
1.00
<
>
0.75
0.50
0.25
0.00
0.5
0.0
log(OR) SNP A
–0.5
–1.0
–1.0
–0.5
0.0
log(OR) SNP C
0.5
1.0
Fig. 1 Evidence for joint tagging. a Haplotype analysis of SNPs selected by stepwise search and GUESSFM for ATD in region 10p-6030000-6220000. A
representative SNP from each SNP group is shown. Each column represents one SNP, with possible alleles colour coded according to major or minor. Each
row is a haplotype—a specific combination of alleles across all SNPs—with frequency in UK controls and effect on disease risk (log OR + 95% CI). There
are four common haplotypes. Three carry the minor allele at the J SNP rs706799, but only those that also carry minor allele at A or C show a significant
effect on disease risk. b Comparison of stepwise and stochastic search applied to simulated data. Causal variants were simulated as follows: J: single causal
variant J, OR = 0.8; A < C causal variants A + C, odds ratios A:0.81, C:0.74; A > C: causal variants A + C, odds ratios A:0.74, C:0:8. Potential models
include J (green), C (blue), A + C (purple), A (red) and null (black); any other models are grouped together as grey. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Potential models
include J (green), C (blue), A + C (purple), A (red) and null (black); any other models are grouped together as grey. The y-axis shows the proportion of
simulations in which the stepwise approach chose the indicated model (adding SNPs while p < 10−6) or the average posterior probabilities for each model
for the stochastic search approach. Sample size (x-axis) is the number of cases and controls. c Assuming A and C are causal, this plot shows the probability
that J has the smallest p-value as a function of the effect sizes (log odds ratios) at A and C. The estimated effects for A and C from real data are shown by a
point, and the simulations from b by < and > for A < C and A > C conditions, respectively. Source data for b are provided in Supplementary Tables 3–4 GUESSFM), takes only 15–83 s. We can deal with multiple
populations, with not all populations represented for all diseases,
by noting that when controls are not shared, the joint log Bayes
factor is a simple sum of logistic log Bayes factors, allowing us to
fit a multinomial to the samples from common populations with
shared controls, and add disease-specific log Bayes factor terms
from logistic models fitted to the distinct populations. computational time and memory will be required to evaluate all
configurations, and to store these results. We provide solutions
for both challenges. First, we show the log Bayes factor for a
multinomial model that simultaneously considers all diseases can
be approximated by a quantity that can be rapidly calculated—the
sum of the log Bayes factors for the corresponding logistic models
for each individual disease and an offset term determined by
sample and model sizes (Supplementary Note 3). Second, we
show that the marginal (single disease) model posteriors from the
multinomial model can be calculated without needing to store the
individual configuration Bayes factors (Supplementary Note 3). Results
h The LD column lists the r2 between the stepwise SNP and the SNP(s) from the stocha We introduce the concept of configurations—sets of causal
variant models for each disease, and we borrow information
between the diseases by means of a prior, which upweights
configurations that share one or more causal variants between
diseases by a factor κ (Fig. 3). Such a parameter is also used in
colocalisation analysis, with values ranging from 1001,18 to
100019. In the case of MFM, it may be easier to elicit a prior on
the chance of any sharing in causal variants between a pair of
diseases, and we show in Supplementary Note 3 how this value
can be used to derive κ for two or more diseases. In all our
simulations and analyses, we chose κ so that the prior on any pair
of diseases sharing at least one causal variant in a region where
they are both associated is 0.5, compatible with conclusions of
previous IMD studies of IMDs1. One obvious challenge for dealing with configurations, is that
the number of models that needs to be considered for each
disease is already large, and the number of possible configurations
is the product of these. This implies that exponentially increased 3 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Potential models
include J (green), C (blue), A + C (purple), A (red) and null (black); any other models are grouped together as grey. The y-axis shows the proportion of
simulations in which the stepwise approach chose the indicated model (adding SNPs while p < 10−6) or the average posterior probabilities for each model
for the stochastic search approach. Sample size (x-axis) is the number of cases and controls. c Assuming A and C are causal, this plot shows the probability
that J has the smallest p-value as a function of the effect sizes (log odds ratios) at A and C. The estimated effects for A and C from real data are shown by a
point, and the simulations from b by < and > for A < C and A > C conditions, respectively. Source data for b are provided in Supplementary Tables 3–4 Null
J
AC
Other
Null
J
AC
A+C
Other
Null
C
A + C
J
Other
C
A + C
nullJ
Other
Null
A
A+CC
J
Other
Null
A + C
CJ
Other
J
A < C
A > C
Stepwise
Stochastic
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
b b Stochastic Sample size (1000 s) Fig. 1 Evidence for joint tagging. a Haplotype analysis of SNPs selected by stepwise search and GUESSFM for ATD in region 10p-6030000-6220000. A
representative SNP from each SNP group is shown. Each column represents one SNP, with possible alleles colour coded according to major or minor. Each
row is a haplotype—a specific combination of alleles across all SNPs—with frequency in UK controls and effect on disease risk (log OR + 95% CI). There
are four common haplotypes. Three carry the minor allele at the J SNP rs706799, but only those that also carry minor allele at A or C show a significant
effect on disease risk. b Comparison of stepwise and stochastic search applied to simulated data. Causal variants were simulated as follows: J: single causal
variant J, OR = 0.8; A < C causal variants A + C, odds ratios A:0.81, C:0.74; A > C: causal variants A + C, odds ratios A:0.74, C:0:8. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 The y-axis shows the proportion of
simulations in which the stepwise approach chose the indicated model (adding SNPs while p < 10−6) or the average posterior probabilities for each model C
C
C
T
C
C
C
T
T
T
T
A
rs61839660 rs706779 rs11594656
SNP
Haplotypes
0
10
20
30
40
50
Fq (%)
Frequency
−0.4
−0.3
−0.2
−0.1
0.0
Log OR
Effects
A + C causal
a
c
1.0
Pr J
top
1.00
<
>
0.75
0.50
0.25
0.00
0.5
0.0
log(OR) SNP A
–0.5
–1.0
–1.0
–0.5
0.0
log(OR) SNP C
0.5
1.0 A + C causal
c
1.0
Pr J
top
1.00
<
>
0.75
0.50
0.25
0.00
0.5
0.0
log(OR) SNP A
–0.5
–1.0
–1.0
–0.5
0.0
log(OR) SNP C
0.5
1.0 c a log(OR) SNP C rs61839660 rs706779 rs11594656
SNP
0
10
20
30
40
50
Fq (%)
−0.4
−0.3
−0.2
−0.1
0.0
Log OR
Null
J
AC
Other
Null
J
AC
A+C
Other
Null
C
A + C
J
Other
C
A + C
nullJ
Other
Null
A
A+CC
J
Other
Null
A + C
CJ
Other
J
A < C
A > C
Stepwise
Stochastic
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
b
1.0
0.5
0.0
log(OR) SNP A
0.5
1.0
Fig. 1 Evidence for joint tagging. a Haplotype analysis of SNPs selected by stepwise search and GUESSFM for ATD in region 10p-6030000-6220000. A
representative SNP from each SNP group is shown. Each column represents one SNP, with possible alleles colour coded according to major or minor. Each
row is a haplotype—a specific combination of alleles across all SNPs—with frequency in UK controls and effect on disease risk (log OR + 95% CI). There
are four common haplotypes. Three carry the minor allele at the J SNP rs706799, but only those that also carry minor allele at A or C show a significant
effect on disease risk. b Comparison of stepwise and stochastic search applied to simulated data. Causal variants were simulated as follows: J: single causal
variant J, OR = 0.8; A < C causal variants A + C, odds ratios A:0.81, C:0.74; A > C: causal variants A + C, odds ratios A:0.74, C:0:8. NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 We consider the patterns of three-way LD between each possible trio of SNPs, nominating the first two as
causal, and the third as a potential tag. a For each pair of potential causal SNPs, we can predict whether the third SNP is a tag according to the pairwise
correlation between that SNP and the two potentially causal SNPs (r1, r2). Red (yellow) areas indicate settings where the third SNP is (is not) a potential
tag for SNPs 1 and 2. In this example, the potentially causal SNPs have equal MAF, equal effect on disease risk (equal odds ratios, OR) and are uncorrelated. Then, if the third SNP is (A) uncorrelated or weakly correlated with either SNP 1 or 2, or (B, C) negatively correlated with one and positively with the other,
we would not expect it to act as a tag. On the other hand, if it were (D, E) strongly positively or negatively correlated with both causal variants, we would
expect it to act as a joint tag. b shows the result of searching all possible SNP trios in UK ImmunoChip control data, and quantifying the proportion of trios
that correspond to joint tagging in each region, assuming the causal variants have equal OR; the pattern is individually rare, consistently <5%. c shows the
proportion of SNP pairs for which at least one potential tag exists, which can be substantial—about 40% overall. The blue curves show the loess fits to the
points. Source data are provided in Supplementary Data 4 nominal posterior probability, which are in high LD and rarely
selected together in any model (Methods). nominal posterior probability, which are in high LD and rarely
selected together in any model (Methods). One of the multi-SNP regions that showed differences across
multiple diseases was on chromosome 2q, harbouring the
candidate gene CTLA4. In stepwise analysis, iRA, T1D, ATD
and CEL all converge on a single SNP model, in the group
labelled G in the stochastic search results, while for iCEL a single
SNP is selected in group I (Table 3, Fig. 5a). For single disease
stochastic search, we find CEL (UK-only) and ATD have a single
signal in the group labelled G, matching the stepwise results,
while RA and T1D both have two signals, in groups labelled E
and H, represented by causal variant configuration E + H. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 The
iCEL result is more uncertain, with the posterior spread between
I + K, I or E + G. Note that K is also the second selected SNP for
iCEL stepwise regression (p = 4 × 10–6), although it doesn’t reach
our adopted significance threshold. Simulations show that G may
tag an E + H model (Fig. 5b-c, Supplementary Tables 5–6, SNP
group membership in Supplementary Data 3). MFM increases chance of selecting the correct model. We
examined the performance of MFM by simulation. We found that
when causal variants overlapped between diseases, MFM was able
to recover the correct models at smaller sample sizes than indi-
vidual disease analysis (Fig. 4a, b, Supplementary Data 5, 6), i.e. sharing information between diseases contributed to a gain in
accuracy similar to increasing sample size for each disease. When
no causal variants were shared, multinomial and independent
approaches gave similar results (Fig. 4c, Supplementary Data 7),
i.e. sharing information did not tend to mislead as long as there
were strong signals in each disease. When one disease had no
causal variants, multinomial and independent results were again
similar (Fig. 4d, Supplementary Data 8); i.e. no information is
gained but there is also no noticeable loss in accuracy in doing so. g
p
p
pp
y
)
MFM finds increased support for E + H for RA and T1D while
the CEL and iCEL results become more concentrated with
support for G or E + G (Table 3). While we suggested G may tag
E + H, MFM maintains strongest support for G in ATD, although
there is also posterior support for H in combination with other
groups (group marginal posterior probability of inclusion,
gMPPI = 0.60). A previous attempt to fine-map autoimmune
disease association, by colocalisation analysis of T1D, RA and
CEL (using the same UK data as here) came to similar
conclusions, finding strong support for E + H models for iRA
and T1D and either G or E + G for CEL1. However, a more
recent analysis of T1D and RA, also in largely the same samples,
identified a different pair of variants, rs3087243 (G) and
rs117701653 (C)20 for both diseases using an exhaustive search
of all one and two SNP models. MFM analysis of up to six IMD. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 a
E
0.5
–0.5
0
–0.5
0.5
r2
r1
A
C
B
D
–1
E
–1 a
0
E
0.5
–0.5
0
–0.5
0.5
r2
r1
A
C
B
D
–1
E
5
10
15
0
500
1000
1500
# SNPs
% Tagging
Trios that are tags
b
0
20
40
60
0
500
1000
1500
# SNPs
% Tagging
At least one tag
c
–1
Fig. 2 Potential frequency of joint tagging. We consider the patterns of three-way LD between each possible trio of SNPs, nominating the first two as
causal, and the third as a potential tag. a For each pair of potential causal SNPs, we can predict whether the third SNP is a tag according to the pairwise
correlation between that SNP and the two potentially causal SNPs (r1, r2). Red (yellow) areas indicate settings where the third SNP is (is not) a potential
tag for SNPs 1 and 2. In this example, the potentially causal SNPs have equal MAF, equal effect on disease risk (equal odds ratios, OR) and are uncorrelated. Then, if the third SNP is (A) uncorrelated or weakly correlated with either SNP 1 or 2, or (B, C) negatively correlated with one and positively with the other,
we would not expect it to act as a tag. On the other hand, if it were (D, E) strongly positively or negatively correlated with both causal variants, we would
expect it to act as a joint tag. b shows the result of searching all possible SNP trios in UK ImmunoChip control data, and quantifying the proportion of trios
that correspond to joint tagging in each region, assuming the causal variants have equal OR; the pattern is individually rare, consistently <5%. c shows the
proportion of SNP pairs for which at least one potential tag exists, which can be substantial—about 40% overall. The blue curves show the loess fits to the
points. Source data are provided in Supplementary Data 4 0
5
10
15
0
500
1000
1500
# SNPs
% Tagging
Trios that are tags
b 0
20
40
60
0
500
1000
1500
# SNPs
% Tagging
At least one tag
c b b a c % Tagging Fig. 2 Potential frequency of joint tagging. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 These insights solve both computational time and memory
challenges: joint analysis of 2–6 diseases in the IL2RA region,
(after individual stochastic search results were generated with Finally, to enable interpretation of the posterior probability of
thousands of models for each disease, which typically contain
many models differing only by the exchange of one SNP for
another in high LD, we formalise the method for grouping SNPs
across multiple diseases by hierarchical clustering of SNPs
according to their LD (r2) and the probability of being jointly
required to explain disease, grouping SNPs selected with some 4 ARTICLE NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 MFM analysis
Configuration CB, B + D = models B for disease 1 and B + D for disease 2
Prior for CB, B + D depends on , and overlap between models B, B + D
Multinomial BFB, B + D approximated from binomial BFB, BFB + D and sample size
Calculate prosterior over all configurations, store only marginals for each disease
Model
Marginal Posterior
Disease 1
Disease 2
sparsity
sharing sparsity Fig. 3 Schematic diagram for Multinomial Fine-Mapping (MFM) method. MFM is used for multiple diseases with shared controls and, for simplicity, only
two diseases are shown. After selection of a sparsity prior parameterised by π, stochastic search is applied individually to each disease, as in standard
analyses. Marginal results are combined in MFM, using an approximation to the multinomial Bayes factor (BF) and with information shared between
diseases using a sharing prior, which upweights joint models with shared causal variants by a factor κ. Memory constraints are dealt with by storing only
the marginal posterior distributions for each disease in groups E (CEL, RA, T1D), G (CEL and ATD) and H (RA and
T1D, and possibly ATD) and possibly two low frequency causal
variants in groups C and K (RA, CEL). identified by stochastic search for CEL and iCEL as having similar
protective effects across all diseases and low minor allele
frequencies (<0.05). The two SNPs are unlinked (r2 < 0.01) and
in low LD with other genotyped or imputed SNPs outside their
groups (r2 < 0.2). The 2-SNP models E + H identified here, and
G + C20 have similar BIC in our data for iRA and iCEL
(Supplementary Data 10), but the greater number of SNPs in the
E and H groups mean that E + H encompasses many more
possible causal variant pairs and so has greater grouped posterior
support. Additionally, individual E + H models have a clearly
better fit than G + C for T1D (Supplementary Data 10). In total,
results in this region exemplify the difficulty with fine-mapping
multiple causal variants in the presence of complex LD, and
suggest the region likely contains three common causal variants, Our previous report of stochastic-stepwise mismatch focused
on MS and T1D in the IL2RA region9. We identified four groups
of SNPs corresponding to four causal variants for T1D, with
results agreeing between stepwise and stochastic search9. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 ified by stochastic search for CEL and iCEL as having similar
ctive effects across all diseases and low minor allele
uencies (<0.05). The two SNPs are unlinked (r2 < 0.01) and
w LD with other genotyped or imputed SNPs outside their
in groups E (CEL, RA, T1D), G (CEL and ATD) and H (RA and
T1D, and possibly ATD) and possibly two low frequency causal
variants in groups C and K (RA, CEL). Our previous report of stochastic stepwise mismatch focused
Model
Data
Model
Data
Model
Data
Posterior
Model
Data
Posterior
A
BFA
PA
B
BFB
PB
D
BFD
PD
B + D
BFB + D
PB + D
... A
B
D
B + D
... A
B
D
B + D
... A
B
D
B + D
... ... BFA
BFB
BFD
BFB + D
... BFA
BFB
BFD
BFB + D
... ... PA
PB
PD
PB + D
... PA
PB
PD
PB + D
... A
BFA
PA
B
BFB
PB
D
BFD
PD
B + D
BFB + D
PB + D
... ... ...
sparsity
Genotype data
disease2
Genotype data
disease1
Genotype data
controls
Stochastic search (GUESSFM)
Stochastic search (GUESSFM)
Standard analysis
MFM analysis
Configuration CB, B + D = models B for disease 1 and B + D for disease 2
Prior for CB, B + D depends on , and overlap between models B, B + D
Multinomial BFB, B + D approximated from binomial BFB, BFB + D and sample size
Calculate prosterior over all configurations, store only marginals for each disease
Model
Marginal Posterior
Disease 1
Disease 2
sparsity
sharing
Schematic diagram for Multinomial Fine-Mapping (MFM) method. MFM is used for multiple diseases with shared controls and, for simplicity, only
iseases are shown. After selection of a sparsity prior parameterised by π, stochastic search is applied individually to each disease, as in standard
ses. Marginal results are combined in MFM, using an approximation to the multinomial Bayes factor (BF) and with information shared between
ses using a sharing prior, which upweights joint models with shared causal variants by a factor κ. Memory constraints are dealt with by storing only
arginal posterior distributions for each disease Model
Data
Posterior
Model
Data
Posterior
A
BFA
PA
B
BFB
PB
D
BFD
PD
B + D
BFB + D
PB + D
... NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 We applied MFM to all 30
ImmunoChip regions with at least two associated diseases (Sup-
plementary Data 9, visualised at https://chr1swallace.github.io/
MFM-output/index.html). We identified seven regions for which
the top model by independent stochastic search and MFM dif-
fered (Table 2). Four of these were single SNP models under
independent analysis, which moved to an alternative single SNP
in MFM. For three of these four, the difference was seen in
analysis of a UK-only subset, so that we could consider inde-
pendent analysis of the UK + international data, which included
more samples but used the more conventional analysis method as
an adjudicator. In all three cases, this adjudicator matched the
MFM analysis of the UK-only data, suggesting that UK inde-
pendent analysis was limited by power, and that UK MFM ana-
lysis increased power, allowing conclusions to be drawn that were
consistent with those seen in a larger single disease analysis. We compared the models suggested by all these studies across
all diseases by BIC (Supplementary Data 10) and using haplotype
analysis (Fig. 5d). This visually highlighted rs117701653/C
identified for iRA by exhaustive search20 and rs76676160/K 5 5 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 ... ... A
BFA
PA
B
BFB
PB
D
BFD
PD
B + D
BFB + D
PB + D
... ... ...
sparsity
Genotype data
disease2
Genotype data
disease1
Genotype data
controls
Stochastic search (GUESSFM)
Stochastic search (GUESSFM)
Standard analysis Model
Data
Model
Data
... A
B
D
B + D
... A
B
D
B + D
... A
B
D
B + D
... ... BFA
BFB
BFD
BFB + D
... BFA
BFB
BFD
BFB + D
... ... PA
PB
PD
PB + D
... PA
PB
PD
PB + D
... ... ... ... Stan
MFM analysis
Configuration CB, B + D = models B for disease 1 and B + D for disease 2
Prior for CB, B + D depends on , and overlap between models B, B + D
Multinomial BFB, B + D approximated from binomial BFB, BFB + D and sample size
Calculate prosterior over all configurations, store only marginals for each disease
Model
Marginal Posterior
Disease 1
Disease 2
sparsity
sharing
Fig. 3 Schematic diagram for Multinomial Fine-Mapping (MFM) method. MFM is used for multiple diseases with shared controls and, for simplicity, on
two diseases are shown. After selection of a sparsity prior parameterised by π, stochastic search is applied individually to each disease, as in standar
analyses. Marginal results are combined in MFM, using an approximation to the multinomial Bayes factor (BF) and with information shared between
diseases using a sharing prior, which upweights joint models with shared causal variants by a factor κ. Memory constraints are dealt with by storing on
the marginal posterior distributions for each disease Model
Data
Model
Data
A
B
D
B + D
... A
B
D
B + D
... A
B
D
B + D
... BFA
BFB
BFD
BFB + D
... BFA
BFB
BFD
BFB + D
... PA
PB
PD
PB + D
... PA
PB
PD
PB + D
... NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Other
Other
Null
D
AC
B
A.D
Null
D
A
C
B
A.D
Other
Other
Null
DA
C
A.C
Null
C
DA
A.C
Disease 1
Disease 2
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
a
Other
Other
Null
C
A.C
C
Null
A.C
Other
Other
B
D
Null
A.D
Null
B
D
A.D
A < C
A < D
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
Sample size (1000 s)
Propn simulations
b
Other Other
Null
C
D
B
A.D
Null
C
D
B
A.D
Other
Other
Null
C
A.C
Null
C
A.C
A = D
C
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
c
other
Other
Null
D
A
B
A.D
Null
D
A
B
A.D
Other
Other
DB
Null
D
B
Null
A = D
NULL
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
d
Method
a
a
Independent
Shared
Fig. 4 Comparison of MFM analysis and single disease analysis. Causal variants were simulated for two diseases with models defined by SNP groups from
the IL2RA region. MFM is shown by solid lines and independent analyses by dashed lines. Throughout, disease 1 has causal variants A + D, while causal
variants for disease 2 vary. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 How-
ever, while stepwise search identified a single SNP for MS,
rs2104286 (group B), stochastic search identified two distinct
variants in groups A and D (posterior probability 55%), and
suggested that rs2104286/B was a joint tag for these groups (r2 =
0.334 and 0.301, respectively)9, a conclusion supported by
haplotype analysis and simulations here (Fig. 6, Supplementary
Tables 7, 8). NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications 6 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 a, b Disease 2 has causal variants A + C and the odds ratio of A, ORA, is the same for both diseases; a A has a stronger effect
than C and D; ORA = 1.4 (both), ORD = 1.25 (disease 1), ORC = 1.25 (disease 2). b A has a weaker effect than C and D; ORA = 1.25 (both), ORD = 1.4
(disease 1), ORC = 1.4 (disease 2). c Disease 2 has only C causal; ORA = ORD = 1.25 (disease 1), ORC = 1.25 (disease 2). d Disease 2 has no causal variants
(no association). Potential models include A (red), B (green), C (blue), D (yellow), A + D (orange), A + C (purple) and null (black); any other models are
grouped together as grey. The y-axis shows the average posterior probabilities for each model. a, b MFM can identify the true two causal variant model at
smaller sample sizes than independent analysis in simulated data when there is sharing between diseases. c, d When there is no sharing (c) or one disease
has no true associations (d), no information is gained by using MFM but there is only minimal loss in accuracy in doing so. Source data are provided in
Supplementary Data 5–8 Sample size (1000 s) other
Other
Null
D
A
B
A.D
Null
D
A
B
A.D
Other
Other
DB
Null
D
B
Null
A = D
NULL
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
d Other Other
Null
C
D
B
A.D
Null
C
D
B
A.D
Other
Other
Null
C
A.C
Null
C
A.C
A = D
C
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
c d d c C Method
a
a
Independent
Shared Fig. 4 Comparison of MFM analysis and single disease analysis. Causal variants were simulated for two diseases with models defined by SNP groups from
the IL2RA region. MFM is shown by solid lines and independent analyses by dashed lines. Throughout, disease 1 has causal variants A + D, while causal
variants for disease 2 vary. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 a, b Disease 2 has causal variants A + C and the odds ratio of A, ORA, is the same for both diseases; a A has a stronger effect
than C and D; ORA = 1.4 (both), ORD = 1.25 (disease 1), ORC = 1.25 (disease 2). b A has a weaker effect than C and D; ORA = 1.25 (both), ORD = 1.4
(disease 1), ORC = 1.4 (disease 2). c Disease 2 has only C causal; ORA = ORD = 1.25 (disease 1), ORC = 1.25 (disease 2). d Disease 2 has no causal variants
(no association). Potential models include A (red), B (green), C (blue), D (yellow), A + D (orange), A + C (purple) and null (black); any other models are
grouped together as grey. The y-axis shows the average posterior probabilities for each model. a, b MFM can identify the true two causal variant model at
smaller sample sizes than independent analysis in simulated data when there is sharing between diseases. c, d When there is no sharing (c) or one disease
has no true associations (d), no information is gained by using MFM but there is only minimal loss in accuracy in doing so. Source data are provided in
Supplementary Data 5–8 Fig. 4 Comparison of MFM analysis and single disease analysis. Causal variants were simulated for two diseases with models defined by SNP groups from
the IL2RA region. MFM is shown by solid lines and independent analyses by dashed lines. Throughout, disease 1 has causal variants A + D, while causal
variants for disease 2 vary. a, b Disease 2 has causal variants A + C and the odds ratio of A, ORA, is the same for both diseases; a A has a stronger effect
than C and D; ORA = 1.4 (both), ORD = 1.25 (disease 1), ORC = 1.25 (disease 2). b A has a weaker effect than C and D; ORA = 1.25 (both), ORD = 1.4
(disease 1), ORC = 1.4 (disease 2). c Disease 2 has only C causal; ORA = ORD = 1.25 (disease 1), ORC = 1.25 (disease 2). d Disease 2 has no causal variants
(no association). Potential models include A (red), B (green), C (blue), D (yellow), A + D (orange), A + C (purple) and null (black); any other models are
grouped together as grey. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 a, b Disease 2 has causal variants A + C and the odds ratio of A, ORA, is the same for both diseases; a A has a stronger effect
th
C
d D OR
1 4 (b th) OR
1 25 (di
1) OR
1 25 (di
2) b A h
k
ff
t th
C
d D OR
1 25 (b th) OR
1 4 Other
Other
Null
D
AC
B
A.D
Null
D
A
C
B
A.D
Other
Other
Null
DA
C
A.C
Null
C
DA
A.C
Disease 1
Disease 2
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
a Other
Other
Null
C
A.C
C
Null
A.C
Other
Other
B
D
Null
A.D
Null
B
D
A.D
A < C
A < D
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
Sample size (1000 s)
Propn simulations
b b a Propn simulations Other
Other
Null
D
AC
B
Null
D
A
C
B
Other
Other
Null
DA
C
Null
C
DA
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
Sample size (1000 s)
Propn simulatio
Other
Other
Null
Null
Other
Other
B
Null
A.D
Null
B
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
Sample size (1000 s)
Propn simulatio
Other Other
Null
C
D
B
A.D
Null
C
D
B
A.D
Other
Other
Null
C
A.C
Null
C
A.C
A = D
C
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
c
other
Other
Null
D
A
B
A.D
Null
D
A
B
A.D
Other
Other
DB
Null
D
B
Null
A = D
NULL
1
2
3
4
5
1
2
3
4
5
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
d
Method
a
a
Independent
Shared
Fig. 4 Comparison of MFM analysis and single disease analysis. Causal variants were simulated for two diseases with models defined by SNP groups from
the IL2RA region. MFM is shown by solid lines and independent analyses by dashed lines. Throughout, disease 1 has causal variants A + D, while causal
variants for disease 2 vary. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 The last column gives the
mean r2 between the SNP group(s) of independent analyses and those of MFM. The other diseases that were used in MFM are listed under Other Diseases
Table 3 Summary results for fine-mapping in CTLA4 and IL2RA
Region
Disease
SW model
SW P
Indep. model
Indep. PP
MFM (UK) model
MFM
(UK) PP
MFM
(Int.) model
MFM
(Int.) PP
CTLA4
ATD
G/rs11571297
1.22 × 10−24
G
0.842
G
0.593
G
0.374
G + H
0.349
H + I
0.273
G + H
0.236
E + H
0.102
CEL
G/rs3087243
1.48 × 10−12
G
0.641
G
0.517
G + K
0.136
E + G
0.281
iCEL
I/rs2162610
3.74 × 10−14
I + K
0.351
E + G
0.829
I
0.14
E + G
0.115
iRA
G/rs3087243
1.54 × 10−7
E + H
0.753
E + H
0.805
A + E + H
0.142
T1D
G/rs3087243
3.89 × 10−17
E + H
0.765
E + H
0.687
E + H
0.904
G
0.135
IL2RA
ATD
J/rs706779
4.63 × 10−8
A + C
0.954
A + C
0.985
A + C
0.986
MS
B/rs2104286
1.13 × 10−13
B
0.632
A + D
0.883
A + D
0.901
A + D
0.188
H
0.114
iRA
I/rs706778
7.55 × 10−8
I
0.966
I
0.695
A
0.201
T1D
A/rs61839660
3.60 × 10−34
A + C + E + F
0.622
A + C + E + F
0.684
A + C + E + F
0.674
C/rs11594656
5.85 × 10−12
A + E + F + H + I
0.201
A + E + F + H + I
0.178
A + E + F + H + I
0.191
E/rs12220852
8.79 × 10−10
For each disease, the following are provided: selected stepwise (SW) model and conditional SNP p-values, high PP models (and PP) for each of independent analyses (Indep.), MFM (UK samples only)
and MFM with international samples. CTLA4 and IL2RA are the regions 2q-204446380-2048163 and 10p-6030000-6220000, respectively Table 2 Regions with conflicting models chosen by independent disease analysis and MFM Table 3 Summary results for fine-mapping in CTLA4 and IL2RA
Region
Disease
SW model
SW P
Indep. model
Indep. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 PP
MFM (UK) model
MFM
(UK) PP
MFM
(Int.) model
MFM
(Int.) PP
CTLA4
ATD
G/rs11571297
1.22 × 10−24
G
0.842
G
0.593
G
0.374
G + H
0.349
H + I
0.273
G + H
0.236
E + H
0.102
CEL
G/rs3087243
1.48 × 10−12
G
0.641
G
0.517
G + K
0.136
E + G
0.281
iCEL
I/rs2162610
3.74 × 10−14
I + K
0.351
E + G
0.829
I
0.14
E + G
0.115
iRA
G/rs3087243
1.54 × 10−7
E + H
0.753
E + H
0.805
A + E + H
0.142
T1D
G/rs3087243
3.89 × 10−17
E + H
0.765
E + H
0.687
E + H
0.904
G
0.135
IL2RA
ATD
J/rs706779
4.63 × 10−8
A + C
0.954
A + C
0.985
A + C
0.986
MS
B/rs2104286
1.13 × 10−13
B
0.632
A + D
0.883
A + D
0.901
A + D
0.188
H
0.114
iRA
I/rs706778
7.55 × 10−8
I
0.966
I
0.695
A
0.201
T1D
A/rs61839660
3.60 × 10−34
A + C + E + F
0.622
A + C + E + F
0.684
A + C + E + F
0.674
C/rs11594656
5.85 × 10−12
A + E + F + H + I
0.201
A + E + F + H + I
0.178
A + E + F + H + I
0.191
E/rs12220852
8.79 × 10−10
For each disease, the following are provided: selected stepwise (SW) model and conditional SNP p-values, high PP models (and PP) for each of independent analyses (Indep.), MFM (UK samples only)
and MFM with international samples. CTLA4 and IL2RA are the regions 2q-204446380-2048163 and 10p-6030000-6220000, respectively Table 3 Summary results for fine-mapping in CTLA4 and IL2RA For each disease, the following are provided: selected stepwise (SW) model and conditional SNP p-values, high PP models (and PP) for each of independent analyses (Indep.), MFM (UK samples only)
and MFM with international samples. CTLA4 and IL2RA are the regions 2q-204446380-2048163 and 10p-6030000-6220000, respectively For each disease, the following are provided: selected stepwise (SW) model and conditional SNP p-values, high PP models (and PP) for each of
and MFM with international samples. CTLA4 and IL2RA are the regions 2q-204446380-2048163 and 10p-6030000-6220000, respectively rs706778 and rs11256557 in the haplotype analysis, Supplemen-
tary Fig. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Table 2 Regions with conflicting models chosen by independent disease analysis and MFM
Region
Disease
Other
diseases
Independent
MFM
Mean r2
between groups
1p-2406887-2785671 (MMEL1, TNFRSF14)
RA
CEL, MS
D/rs4648662
C/rs10752749
0.36
1p-2406887-2785671 (MMEL1, TNFRSF14)
iRA
iCEL, MS
C/rs141426426
C/rs10797431
1
6q-90806835-91039808 (BACH2)
RA
ATD, T1D
G/rs56258221
C/rs72928038
0.33
6q-90806835-91039808 (BACH2)
iRA
ATD, T1D
C/rs72928038
C/rs72928038
1
18p-12738413-12924117 (PTPN2)
CEL
T1D
F/rs34799913
C/rs12967678
0.4
18p-12738413-12924117 (PTPN2)
iCEL
iRA, T1D
C/rs67878610
C/rs12967678
1
7p-37363978-37440453 (ELMO1)
MS
CEL
A/ rs1962401
C/rs77801025
0.47
2q-204446380-204816382 (CTLA4)
iCEL
ATD, iRA, T1D
I/rs2162610 +
K/rs76676160
G/rs3087243 +
E/rs3116499
(I,G): 0.14 (I,E): 0.17
(K,G): 0.031 (K,E):
0.004
10p-6030000-6220000 (IL2RA)
MS
ATD, iRA, T1D
B/rs2104286/
A/rs12722496 +
D/rs7089861
0.2
0.3
16p-11017058-11307024 (DEXI)
MS
T1D
A/rs11643622
B/rs12708716 +
D/rs4780346
0.3
0.3
Each row summarises results for a single region, defined by chromosome, start and end coordinates (hg19), with a previously reported candidate gene name shown for orientation. The best model for
each method is selected by group posterior probability (GPP) and for each method the best SNP models for each group(s) are given as representatives of the group models. The last column gives the
mean r2 between the SNP group(s) of independent analyses and those of MFM. The other diseases that were used in MFM are listed under Other Diseases Table 2 Regions with conflicting models chosen by independent disease analysis and MFM
Region
Disease
Other
diseases
Independent
MFM
Mean r2
between groups
1p-2406887-2785671 (MMEL1, TNFRSF14)
RA
CEL, MS
D/rs4648662
C/rs10752749
0.36
1p-2406887-2785671 (MMEL1, TNFRSF14)
iRA
iCEL, MS
C/rs141426426
C/rs10797431
1
6q-90806835-91039808 (BACH2)
RA
ATD, T1D
G/rs56258221
C/rs72928038
0.33
6q-90806835-91039808 (BACH2)
iRA
ATD, T1D
C/rs72928038
C/rs72928038
1
18p-12738413-12924117 (PTPN2)
CEL
T1D
F/rs34799913
C/rs12967678
0.4
18p-12738413-12924117 (PTPN2)
iCEL
iRA, T1D
C/rs67878610
C/rs12967678
1
7p-37363978-37440453 (ELMO1)
MS
CEL
A/ rs1962401
C/rs77801025
0.47
2q-204446380-204816382 (CTLA4)
iCEL
ATD, iRA, T1D
I/rs2162610 +
K/rs76676160
G/rs3087243 +
E/rs3116499
(I,G): 0.14 (I,E): 0.17
(K,G): 0.031 (K,E):
0.004
10p-6030000-6220000 (IL2RA)
MS
ATD, iRA, T1D
B/rs2104286/
A/rs12722496 +
D/rs7089861
0.2
0.3
16p-11017058-11307024 (DEXI)
MS
T1D
A/rs11643622
B/rs12708716 +
D/rs4780346
0.3
0.3
Each row summarises results for a single region, defined by chromosome, start and end coordinates (hg19), with a previously reported candidate gene name shown for orientation. The best model for
each method is selected by group posterior probability (GPP) and for each method the best SNP models for each group(s) are given as representatives of the group models. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 The y-axis shows the average posterior probabilities for each model. a, b MFM can identify the true two causal variant model at
smaller sample sizes than independent analysis in simulated data when there is sharing between diseases. c, d When there is no sharing (c) or one disease
has no true associations (d), no information is gained by using MFM but there is only minimal loss in accuracy in doing so. Source data are provided in
Supplementary Data 5–8 While our previous analysis included UK and non-UK
(international) cases and controls for MS, here we used only the
UK subset, and both stepwise and stochastic search identified B
(group posterior probability, GPP = 0.632), with the A + D model
having only GPP = 0.188, consistent with results that stochastic
selection of a joint tag depends on sample size (Table 3). A more
recent stepwise analysis of a larger, international sample has
identified two SNPs, rs11256593 and rs1272255921. rs12722559
(r2 0.323 with rs2104286/B) is in our group H (GPP = 0.114, third
strongest stochastic search model) while rs12722559 (r2 0.482 with
rs2104286/B, MPPI = 1.20 × 10−5) was not in our SNP groups. In our UK data, we found the best fitting models were A + D (BIC
19299.46) and B (19302.88), both significantly better fits than
rs11256593 + rs12722559 (BIC 19320.06). For ATD, stepwise search identified a 1-SNP model, rs706779/
J, consistent with previous analyses of ATD13,22, and matching
the top reported SNP for another IMD, Vitiligo23, while
stochastic search selected a two SNP model, A + C (Table 1,
Supplementary Data 11). MFM maintained support for the A + C
model for ATD, and preferred the 2-SNP A + D model for MS
(Table 3), agreeing with our previous stochastic search results for
a larger UK + international MS dataset9. Limited power may also 7 NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 The y-axis shows the
proportion of simulations in which the stepwise approach chose the indicated model (adding SNPs while p < 10-6) or the average posterior probabilities for
each model for the stochastic search approach. Sample size (x-axis) is the number of cases and controls. c Assuming E and H are causal, this plot shows
the probability that G has the smallest p-value as a function of the effect sizes (log odds ratios) at E and H. The estimated effects for E and H from T1D data
are shown by a point, and the simulations from b by < and > for E < H and E > H conditions, respectively. d Haplotype analysis of SNP groups with support in
any analysis. Each row represents one SNP, with possible alleles colour coded according to major or minor. Each column is a haplotype—a specific
combination of alleles across all SNPs—with frequency in UK controls and effect on disease risk (log OR + 95% CI). MAF is shown as a percentage on a log
scale to allow frequencies of rarer haplotypes to be distinguished. Source data for b are provided in Supplementary Tables 5, 6 Fig. 5 Analysis of chromosome 2q region containing CTLA4. a Map showing positions of SNPs (GRCh37) colour coded by SNP group. SNPs in the same
group are in high LD. b Comparison of stepwise and stochastic search applied to simulated data. Causal variants were simulated as follows: G: causal
variant G, OR = 1.25; E < H and E > H causal variants E + H, E < H:ORE = 1.19, ORH = 1.24 (observed in T1D data); E > H: ORE = 1.24, ORH = 1.19. Possible
models include E (red), G (yellow), H (blue), E + H (purple) and null (black); any other models are grouped together as grey. The y-axis shows the
proportion of simulations in which the stepwise approach chose the indicated model (adding SNPs while p < 10-6) or the average posterior probabilities for
each model for the stochastic search approach. Sample size (x-axis) is the number of cases and controls. c Assuming E and H are causal, this plot shows
the probability that G has the smallest p-value as a function of the effect sizes (log odds ratios) at E and H. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 9) selected for RA-international are carried along with
the minor protective alleles of groups A, C and D and it is
possible that the group I SNPs are tagging three IL2RA SNP
groups. affect RA-international in this region, for which individual
analysis picked group I (97%) and MFM support was split
between groups A (20%) and I (70%). g
Our results emphasise the importance of the A group, which is
selected for three of the four diseases (T1D, MS and ATD). This
group of SNPs have been previously associated with variation in
the expression of IL2RA mRNA and of its encoded protein,
CD25, in CD4+ memory T cells24,25, and a recent allele-specific
expression (ASE) study has pinpointed the causal variant
affecting mRNA expression among the set as rs6183966026—
notably the same variant identified in an IBD GWAS of 67,852
individuals27 and an eczema/dermatitis phenotype in a GWAS of
thousands of phenotypes for 337,000 samples in the UK
Biobank28, supporting the notion that this SNP has a common
effect across multiple diseases that is missed in stepwise analysis
of MS and ATD. We note that the direction of effect for
rs61839660 is opposite in IBD and eczema/dermatitis (risk allele
T) compared to T1D, MS, ATD and JIA15 (risk allele C). We note
also that the minor alleles of group I SNPs (represented by Allele-specific expression confirms functional effects. In addi-
tion to linking group A SNPs to IL2RA expression, we have
shown that SNPs in group D decrease the percentage of CD25
expressing naive T cells9,24. Here, we extend our analysis of
IL2RA mRNA expression to examine any effects of rs2104286/B
in the context of groups A and D. ASE assays compare relative
expression between paternally and maternally inherited chro-
mosomes in individuals heterozygous for a putative functional
SNP according to the allele each chromosome carries at the SNP. It is a powerful design, because the within-individual comparison
controls for between individual biological variation resulting
from other genetic and environmental differences. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 We quantified
ASE of IL2RA mRNA in memory and naive CD4+ T cells NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications 8 CD28
CTLA4
ICOS
rs11681201/E
rs1980421/E
rs1980422/E
rs7422494/E
rs7426056/E
rs7588874/E
rs67895606/E
rs117701653/C
rs4673266/E
rs231389/E
rs13429019/E
rs5837875/E
rs3116499/E
rs62184035/E
rs370078940/E
rs6745050/G
rs144115812/G
rs34636506/G
rs1968351/G
rs13030124/G
rs60306514/G
rs61272514/G
rs34050244/G
rs34461055/G
rs35702010/G
rs12990970/G
rs1863800/G
rs112783914/G
rs2882971/G
rs116604011/G
rs114019067/G
rs2882972/G
rs13033315/G
rs231804/G
rs11571304/G
rs231806/G
rs11393378/G
rs231811/G
rs2162610/I
rs77040243/K
rs231775/H
rs231779/H
rs3087243/G
rs231723/H
rs231724/H
rs2307982/H
rs231725/H
rs231726/H
rs1427676/H
rs231727/H
rs11571302/G
rs7565213/G
rs231729/H
rs11571297/G
rs137967632/H
rs2882973/H
rs79570815/K
rs75309573/K
rs34029700/H
rs1365965/H
rs6737395/H
rs1991416/H
rs2352546/H
rs34302643/H
rs73993041/H
rs3096849/H
rs3096851/H
rs3096852/H
rs3116523/H
rs3116504/H
rs2162608/H
rs3116518/H
rs76676160/K
rs6752680/I
rs3116505/H
rs3096857/H
rs6714468/I
rs3096865/H
rs12464033/H
rs76210392/K
rs138585195/K
a
Null
G
Null
G
H
Null
G
H
Null
H
E + H
G
Null
G
H
Null
E + H
G
H
G
E < H
E > H
Stepwise
Stochastic
1
2
3
4
5
2
4
6
2
4
6
0.00
0.25
0.50
0.75
1.00
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
b
c
−0.5
0.0
0.5
Log OR
Disease
ATD
CEL
iCEL
iRA
T1D
1
3
10
30
MAF
(log scale)
G
T
T
T
T
T
T
T
T
G
G
G
A
A
A
A
A
A
G
G
G
G
G
A
A
A
A
A
A
A
A
A
A
C
C
C
A
A
A
A
A
A
A
A
C
T
T
T
T
T
T
C
C
C
rs76676160/K
rs231775/H
rs3087243/G
rs2162610/I
rs117701653/C
rs1980422/E
SNP
Reference haplotype allele
a
a
False
True
d
1.0
H + E causal
Pr G
top
1.00
0.75
0.50
0.25
0.00
0.5
0.0
log(OR) SNP E
–0.5
–1.0
–1.0
–0.5
0.0
log(OR) SNP H
0.5
1.0
Fig. 5 Analysis of chromosome 2q region containing CTLA4. a Map showing positions of SNPs (GRCh37) colour coded by SNP group. SNPs in the same
group are in high LD. b Comparison of stepwise and stochastic search applied to simulated data. Causal variants were simulated as follows: G: causal
variant G, OR = 1.25; E < H and E > H causal variants E + H, E < H:ORE = 1.19, ORH = 1.24 (observed in T1D data); E > H: ORE = 1.24, ORH = 1.19. Possible
models include E (red), G (yellow), H (blue), E + H (purple) and null (black); any other models are grouped together as grey. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 CD28
CTLA4
ICOS
rs11681201/E
rs1980421/E
rs1980422/E
rs7422494/E
rs7426056/E
rs7588874/E
rs67895606/E
rs117701653/C
rs4673266/E
rs231389/E
rs13429019/E
rs5837875/E
rs3116499/E
rs62184035/E
rs370078940/E
rs6745050/G
rs144115812/G
rs34636506/G
rs1968351/G
rs13030124/G
rs60306514/G
rs61272514/G
rs34050244/G
rs34461055/G
rs35702010/G
rs12990970/G
rs1863800/G
rs112783914/G
rs2882971/G
rs116604011/G
rs114019067/G
rs2882972/G
rs13033315/G
rs231804/G
rs11571304/G
rs231806/G
rs11393378/G
rs231811/G
rs2162610/I
rs77040243/K
rs231775/H
rs231779/H
rs3087243/G
rs231723/H
rs231724/H
rs2307982/H
rs231725/H
rs231726/H
rs1427676/H
rs231727/H
rs11571302/G
rs7565213/G
rs231729/H
rs11571297/G
rs137967632/H
rs2882973/H
rs79570815/K
rs75309573/K
rs34029700/H
rs1365965/H
rs6737395/H
rs1991416/H
rs2352546/H
rs34302643/H
rs73993041/H
rs3096849/H
rs3096851/H
rs3096852/H
rs3116523/H
rs3116504/H
rs2162608/H
rs3116518/H
rs76676160/K
rs6752680/I
rs3116505/H
rs3096857/H
rs6714468/I
rs3096865/H
rs12464033/H
rs76210392/K
rs138585195/K
a a c
1.0
H + E causal
Pr G
top
1.00
0.75
0.50
0.25
0.00
0.5
0.0
log(OR) SNP E
–0.5
–1.0
–1.0
–0.5
0.0
log(OR) SNP H
0.5
1.0 Null
G
Null
G
H
Null
G
H
Null
H
E + H
G
Null
G
H
Null
E + H
G
H
G
E < H
E > H
Stepwise
Stochastic
1
2
3
4
5
2
4
6
2
4
6
0.00
0.25
0.50
0.75
1.00
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
b b c log(OR) SNP E p
(
)
−0.5
0.0
0.5
Log OR
Disease
ATD
CEL
iCEL
iRA
T1D
1
3
10
30
MAF
(log scale)
G
T
T
T
T
T
T
T
T
G
G
G
A
A
A
A
A
A
G
G
G
G
G
A
A
A
A
A
A
A
A
A
A
C
C
C
A
A
A
A
A
A
A
A
C
T
T
T
T
T
T
C
C
C
rs76676160/K
rs231775/H
rs3087243/G
rs2162610/I
rs117701653/C
rs1980422/E
SNP
Reference haplotype allele
a
a
False
True
d
g(
) d Reference haplotype allele
a
a
False
True Fig. 5 Analysis of chromosome 2q region containing CTLA4. a Map showing positions of SNPs (GRCh37) colour coded by SNP group. SNPs in the same
group are in high LD. b Comparison of stepwise and stochastic search applied to simulated data. Causal variants were simulated as follows: G: causal
variant G, OR = 1.25; E < H and E > H causal variants E + H, E < H:ORE = 1.19, ORH = 1.24 (observed in T1D data); E > H: ORE = 1.24, ORH = 1.19. Possible
models include E (red), G (yellow), H (blue), E + H (purple) and null (black); any other models are grouped together as grey. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 The y-axis shows the
proportion of simulations in which the stepwise approach chose the indicated model (adding SNPs while p < 10-6) or the average posterior probabilities for
each model for the stochastic search approach. Sample size (x-axis) is the number of cases and controls. c Assuming E and H are causal, this plot shows
the probability that G has the smallest p-value as a function of the effect sizes (log odds ratios) at E and H. The estimated effects for E and H from T1D data
are shown by a point, and the simulations from b by < and > for E < H and E > H conditions, respectively. d Haplotype analysis of SNP groups with support in
any analysis. Each row represents one SNP, with possible alleles colour coded according to major or minor. Each column is a haplotype—a specific
combination of alleles across all SNPs—with frequency in UK controls and effect on disease risk (log OR + 95% CI). MAF is shown as a percentage on a log
scale to allow frequencies of rarer haplotypes to be distinguished. Source data for b are provided in Supplementary Tables 5, 6
NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0
ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 6 Analysis of chromosome 10p region containing IL2RA a Map showing positions of SNPs (GRCh37) in groups A, B and D. SNPs in the same group are
in high LD, with colour used to indicate group membership. b Haplotype analysis of SNPs selected by stepwise search and GUESSFM for MS. Each row
represents one SNP, with possible alleles colour coded according to major or minor. Each column is a haplotype—a specific combination of alleles across all
SNPs—with frequency in UK controls and effect on disease risk (log OR + 95% CI). There are four common haplotypes. Three appear protective, carrying
the minor allele at either A or D, but only two carry the minor allele at B. c Comparison of stepwise and stochastic search applied to simulated data. Causal
variants were simulated as follows: B: single causal variant B, OR = 0.8; A < D causal variants A + D, odds ratios A:0.84, D:0.77; A~D: causal variants A +
D, odds ratios A:0.81, D:0:8 (observed in MS data); A > D: causal variants A + D, odds ratios A:0.77, D:0:84. Potential models include A (red), B (green), D
(blue), A + D (purple) and null (black); any other models are grouped together as grey. The y-axis shows the proportion of simulations in which the
stepwise approach chose the indicated model (adding SNPs while p < 10-6) or the average posterior probabilities for each model for the stochastic search
approach. Sample size (x-axis) is the number of cases and controls. d Assuming A and D are causal, this plot shows the probability that B has the smallest
p-value as a function of the effect sizes (log odds ratios) at A and D. The estimated effects for A and D from MS data are shown by a point, and the
simulations from c by < and > for A < D and A > D conditions respectively. Source data for c are provided in Supplementary Tables 7, 8 isolated from 36 donors selected by genotype from a bioresource
(www.cambridgebioresource.org.uk) to be heterozygous at SNPs
in group A (A-het), D (D-het) or both (A + D-het). To control
for other potential effects, we chose donors homozygous for SNPs
in groups C and F. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 A
A
IL2RA
RBM17
rs41294681/A
rs28360493/A
rs12722563/A
rs12722558/A
rs12722552/A
rs12722522/A
rs12722508/A
rs7909519/A
rs61839660/A
rs12722496/A
rs12722495/A
rs12722504/B
rs2104286/B
rs12722488/B
rs3118475/D
rs7089861/D
rs62626317/D
rs41295055/D
rs56382813/D
1
0.6
0.6
0.6
0.5
0.5
0.5
0.5
0.5
0.5
0.1
0.1
0.1
0.6
0.6
0.6
0.5
0.5
0.5
0.5
0.5
0.5
0.1
0.1
0.1
1
1
0.9
0.9
0.9
0.7
0.8
0.8
0.3
0.3
0.3
1
0.9
0.9
0.9
0.7
0.8
0.8
0.3
0.2
0.3
0.9
0.9
0.9
0.7
0.8
0.8
0.3
0.3
0.3
1
1
0.8
0.9
0.9
0.3
0.3
0.3
1
0.8
0.9
0.9
0.3
0.3
0.3
0.8
1
1
0.3
0.3
0.3
0.9
0.9
0.3
0.3
0.3
1
0.3
0.3
0.3
0.3
0.3
0.3
1
0.9
0.4
0.2
0.4
0.4
0.3
1
0.4
0.2
0.4
0.4
0.3
0.4
0.2
0.4
0.4
0.3
0.6
1
1
0.8
0.6
0.6
0.7
1
0.8
0.8
a
−0.4
−0.3
−0.2
−0.1
0.0
Log OR
0
20
40
60
Fq (%)
C
C
C
T
C
C
T
T
C
C
T
T
rs61839660/A
rs2104286/B
rs41295055/D
SNP
Major allele
a
a
FALSE
TRUE
b
Null
B
A + D
Null
B
A + D
Null
D
B
Null
A
A + D
B
Null
B
D
Null
B
A + D
Null
B
Null
B
A + D
D
D
B
A < D
A~D
A > D
Stepwise
Stochastic
1
2
3
4
5
2
4
6
2
4
6
2
4
6
0.00
0.25
0.50
0.75
1.00
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
c
d
1.0
A + D causal
0.5
0.0
log(OR) SNP D
log(OR) SNP A
–0.5
–1.0
–1.0
–0.5
0.0
0.5
Pr B
top
1.00
0.75
0.50
0.25
0.00
1.0
D
Fig. 6 Analysis of chromosome 10p region containing IL2RA a Map showing positions of SNPs (GRCh37) in groups A, B and D. SNPs in the same group are
in high LD, with colour used to indicate group membership. b Haplotype analysis of SNPs selected by stepwise search and GUESSFM for MS. Each row
represents one SNP, with possible alleles colour coded according to major or minor. Each column is a haplotype—a specific combination of alleles across all
SNPs—with frequency in UK controls and effect on disease risk (log OR + 95% CI). There are four common haplotypes. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Source data for c are provided in Supplementary Tables 7, 8
ARTICLE
NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467 019 11271 0 IL2RA
RBM17
rs41294681/A
rs28360493/A
rs12722563/A
rs12722558/A
rs12722552/A
rs12722522/A
rs12722508/A
rs7909519/A
rs61839660/A
rs12722496/A
rs12722495/A
rs12722504/B
rs2104286/B
rs12722488/B
rs3118475/D
rs7089861/D
rs62626317/D
rs41295055/D
rs56382813/D
1
0.6
0.6
0.6
0.5
0.5
0.5
0.5
0.5
0.5
0.1
0.1
0.1
0.6
0.6
0.6
0.5
0.5
0.5
0.5
0.5
0.5
0.1
0.1
0.1
1
1
0.9
0.9
0.9
0.7
0.8
0.8
0.3
0.3
0.3
1
0.9
0.9
0.9
0.7
0.8
0.8
0.3
0.2
0.3
0.9
0.9
0.9
0.7
0.8
0.8
0.3
0.3
0.3
1
1
0.8
0.9
0.9
0.3
0.3
0.3
1
0.8
0.9
0.9
0.3
0.3
0.3
0.8
1
1
0.3
0.3
0.3
0.9
0.9
0.3
0.3
0.3
1
0.3
0.3
0.3
0.3
0.3
0.3
1
0.9
0.4
0.2
0.4
0.4
0.3
1
0.4
0.2
0.4
0.4
0.3
0.4
0.2
0.4
0.4
0.3
0.6
1
1
0.8
0.6
0.6
0.7
1
0.8
0.8
a
−0.4
−0.3
−0.2
−0.1
0.0
Log OR
0
20
40
60
Fq (%)
C
C
C
T
C
C
T
T
C
C
T
T
rs61839660/A
rs2104286/B
rs41295055/D
SNP
Major allele
a
a
FALSE
TRUE
b IL
RB
rs41294681/A
rs28360493/A
rs12722563/A
rs12722558/A
rs12722552/A
rs12722522/A
rs12722508/A
rs7909519/A
rs61839660/A
rs12722496/A
rs12722495/A
rs12722504/B
rs2104286/B
rs12722488/B
rs3118475/D
rs7089861/D
rs62626317/D
rs41295055/D
rs56382813/D
1
0.6
0.6
0.6
0.5
0.5
0.5
0.5
0.5
0.5
0.1
0.1
0.1
0.6
0.6
0.6
0.5
0.5
0.5
0.5
0.5
0.5
0.1
0.1
0.1
1
1
0.9
0.9
0.9
0.7
0.8
0.8
0.3
0.3
0.3
1
0.9
0.9
0.9
0.7
0.8
0.8
0.3
0.2
0.3
0.9
0.9
0.9
0.7
0.8
0.8
0.3
0.3
0.3
1
1
0.8
0.9
0.9
0.3
0.3
0.3
1
0.8
0.9
0.9
0.3
0.3
0.3
0.8
1
1
0.3
0.3
0.3
0.9
0.9
0.3
0.3
0.3
1
0.3
0.3
0.3
0.3
0.3
0.3
1
0.9
0.4
0.2
0.4
0.4
0.3
1
0.4
0.2
0.4
0.4
0.3
0.4
0.2
0.4
0.4
0.3
0.6
1
1
0.8
0.6
0.6
0.7
1
0.8
0.8
a 7
−0.4
−0.3
−0.2
−0.1
0.0
Log OR
0
20
40
60
Fq (%)
C
C
C
T
C
C
T
T
C
C
T
T
rs61839660/A
rs2104286/B
rs41295055/D
SNP
Major allele
a
a
FALSE
TRUE
b b a Major allele
a
a
FALSE
TRUE d
1.0
A + D causal
0.5
0.0
log(OR) SNP D
log(OR) SNP A
–0.5
–1.0
–1.0
–0.5
0.0
0.5
Pr B
top
1.00
0.75
0.50
0.25
0.00
1.0 A
A
Null
B
A + D
Null
B
A + D
Null
D
B
Null
A
A + D
B
Null
B
D
Null
B
A + D
Null
B
Null
B
A + D
D
D
B
A < D
A~D
A > D
Stepwise
Stochastic
1
2
3
4
5
2
4
6
2
4
6
2
4
6
0.00
0.25
0.50
0.75
1.00
0.00
0.25
0.50
0.75
1.00
Sample size (1000 s)
Propn simulations
c
D d c Fig. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 The estimated effects for E and H from T1D data
are shown by a point, and the simulations from b by < and > for E < H and E > H conditions, respectively. d Haplotype analysis of SNP groups with support in
any analysis. Each row represents one SNP, with possible alleles colour coded according to major or minor. Each column is a haplotype—a specific
combination of alleles across all SNPs—with frequency in UK controls and effect on disease risk (log OR + 95% CI). MAF is shown as a percentage on a log
scale to allow frequencies of rarer haplotypes to be distinguished. Source data for b are provided in Supplementary Tables 5, 6 9 NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications 9 ARTICLE NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Three appear protective, carrying
the minor allele at either A or D, but only two carry the minor allele at B. c Comparison of stepwise and stochastic search applied to simulated data. Causal
variants were simulated as follows: B: single causal variant B, OR = 0.8; A < D causal variants A + D, odds ratios A:0.84, D:0.77; A~D: causal variants A +
D, odds ratios A:0.81, D:0:8 (observed in MS data); A > D: causal variants A + D, odds ratios A:0.77, D:0:84. Potential models include A (red), B (green), D
(blue), A + D (purple) and null (black); any other models are grouped together as grey. The y-axis shows the proportion of simulations in which the
stepwise approach chose the indicated model (adding SNPs while p < 10-6) or the average posterior probabilities for each model for the stochastic search
approach. Sample size (x-axis) is the number of cases and controls. d Assuming A and D are causal, this plot shows the probability that B has the smallest
p-value as a function of the effect sizes (log odds ratios) at A and D. The estimated effects for A and D from MS data are shown by a point, and the
simulations from c by < and > for A < D and A > D conditions respectively. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 ASE results from donors 3 and 4 were consistent with
those of D-hets and A + D hets, respectively, shown in Fig. 7b,
even though the status of the B SNP was different. These rare
donors are consistent with our conclusions that differences seen
in IL2RA mRNA expression are controlled by the A and D SNPs,
in memory and naive CD4+ T cells, respectively, and argue that
the B SNP tags two functionally distinct groups of SNPs, A and D. One key result from our analysis is that sample sizes in the low
tens of thousands may still not be large enough to robustly fine-
map multiple causal variants. This motivates continued collection
of GWAS samples for diseases too infrequent to be found in large
numbers in the Biobank style datasets, and greater sharing of data
between researchers working on related diseases to better map the
most likely genetic causal variants. A particular note of caution is
raised by the genomic locations where we find discrepancies
between stochastic and stepwise results. These are almost entirely
those with the strongest biological prior for involvement in these
diseases, and also those with typically the strongest effects, and
thus greatest power. We question whether these regions are most
likely to give rise to discrepancies because they harbour the largest
numbers of potential effects or whether, if we had access to much
larger datasets, we would see similar discrepancies genome-wide. Our analysis of six diseases reveals several cases where there
appear to be multiple functional haplotypes—i.e. more than one
IMD causal variant in a region—that affect different diseases
differently. Thus, these functional haplotypic maps are essential
for designing biological follow-up experiments, for which we need
to decide not just what variants to test, but also what variants to
hold constant to avoid confounding the effect of the variant of
immediate interest. Note that in our ASE work, testing of B
heterozygotes, which are in fact a 2:1 mix of D heterozygotes and
A heterozygotes, would have resulted in bimodal results in both
the memory and naive CD4+ T cells subsets. The ability of sto-
chastic search to suggest alternative models provides us the
knowledge to compare such models biologically, thereby allowing
homogeneous phenotypic groups to emerge that were differently
associated with the A and D SNP groups. Discussion
Fi
i Fine-mapping is a general problem in statistical genetics,
important in its own right and for informing integrative down-
stream analyses19,29. We have shown that there are candidate
causal SNP models for which stepwise regression does not con-
verge to the correct solution, even with increasing sample size,
and described the constraints on LD that give rise to this joint
tagging phenomenon. In principle, exhaustive search could
overcome the problem, but scalability is a substantial problem: in
a 1000-SNP region: there are a manageable 0.5 million 2-way
models but over 166 million 3-way models (and 41.5 billion
4-way models), which cannot be fit in reasonable time for a
logistic model that requires optimisation for each model. This
exponential growth of model numbers has motivated different
approaches to scalable search strategies using linear models and
exhaustive search6,30 or specialised search strategies7,8,31. We
show that a logistic model stochastic search9 is feasible and does
tend to the correct solution as sample sizes increase. However,
even stochastic search methods are limited by existing sample
sizes when there are multiple causal variants in proximity, and
may produce similar results to stepwise methods when sample
sizes are insufficient. MFM could be easily adapted as a wrapper
around any of the linear model methods above, provided that the
linear model is considered an acceptable approximation to a
logistic model and that controls are either shared completely or
not at all. MFM borrows information across diseases and is thus related
to, but distinct from, methods that compare two19 or more32
traits, which integrate over the fine-mapping posteriors of indi-
vidual traits, upweighting models that share causal variants, to
determine whether there is evidence for sharing. Here, we exploit
a prior belief that traits studied are enriched for colocalisation to
determine the marginal fine-mapping posterior for each trait, and
remove the common colocalisation assumptions of independent
datasets and a single causal variant per trait in any region. We
also avoid enforcing identity of causal SNPs or their effect sizes
between different diseases, as in analysis of an overarching disease
phenotype (e.g. autoimmune disease20). It is clear from our
results that, causal variants may differ between diseases in the
same region and that, even when causal variants are shared,
magnitude and direction of effects may differ between diseases. MFM could be applied to other collections of diseases where
causal variants may tend to be shared, such as psychiatric NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Our approach can be
expanded in a haplotype-directed manner to other accessible
immune cell types to determine cell-specific and activation-
specific influences of each disease-associated SNP group (A, C, D,
E and F) on IL2RA mRNA expression, enabling a more complete
picture of how particular haplotypes mediate protection or sus-
ceptibility to disease. The association of the minor alleles of the A
haplotype with disease protection for T1D, MS and ATD, but
with disease susceptibility for eczema and IBD, could be caused
by A-mediated regulation of IL2RA expression in two different
cell types: one critical for T1D, MS and ATD disease pathogen-
esis, the other type pivotal for eczema and IBD. Alternatively, the
genetically-determined level of CD25 on memory CD4 T cells
could influence their likelihood of differentiating into particular
types of cytokine-producing effector cells, a phenotype beneficial
for some diseases but not others. We propose that, rather than
attempting to colocalise eQTL signals and disease associations
that
are
both
determined
by
stepwise
analysis35,
disease
haplotype-directed searches for allele-specific expression exem-
plified in this study will lead to greater clarity when unraveling
cellular mechanisms in immune-based diseases. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Neither donor 1 or 2 demonstrated an ASE in either the
memory or naive T cells, an expected result for donor 1 who does
not carry a minor allele at A, D or B, and a result from donor
2 showing that the minor allele at B is not associated with either
phenotype. ASE results from donors 3 and 4 were consistent with
those of D-hets and A + D hets, respectively, shown in Fig. 7b,
even though the status of the B SNP was different. These rare
donors are consistent with our conclusions that differences seen
in IL2RA mRNA expression are controlled by the A and D SNPs,
in memory and naive CD4+ T cells, respectively, and argue that
the B SNP tags two functionally distinct groups of SNPs, A and D. diseases33 or metabolic-related traits34 if appropriate priors can
be elicited for each collection. This might be possible from prior
work as here, but if not we recommend that a range of plausible
values be considered, with robust results identified as those which
remain similar under different priors. expression in A haplotype donors. However, it is not significant,
and we did not observe an increase in CD25+ naive T cells
associated with the MS-protective A allele in a previous study24. p
p
yp
,
g
,
and we did not observe an increase in CD25+ naive T cells
associated with the MS-protective A allele in a previous study24. Additionally, we identified four individuals, three of whom
carry rare IL2RA haplotypes (Fig. 7c): donor 1 carries a common
haplotype combination that is homozygous across A, B, D; donor
2 carries the minor allele at B in the absence of a minor allele at
either A or D, donor 3 carries a minor allele at D but not B, and
donor 4 also carries a minor allele at D but not at B on one
haplotype and minor alleles at A and B on the other haplotype
(Fig. 7a). Neither donor 1 or 2 demonstrated an ASE in either the
memory or naive T cells, an expected result for donor 1 who does
not carry a minor allele at A, D or B, and a result from donor
2 showing that the minor allele at B is not associated with either
phenotype. NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunication NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 The pattern of LD in the region means that the
large majority of A-het and D-het individuals are also hetero-
zygous at the B SNP and A + D-het individuals are homozygous
at the B SNP (Fig. 7a, Supplementary Data 12), allowing us to
directly compare the effects of SNPs in groups A, B and D. the lack of allelic imbalance in memory T cells from D-het
individuals who are heterozygous at B. In naive CD4+ T cells,
D-het as well as A + D-het heterozygotes had an allelic imbalance
with the protective D haplotype producing less IL2RA mRNA
than the susceptible or protective A haplotypes, confirming our
previous observations of decreased CD25+ naive CD4+ T cells
associated with donors having the protective D haplotype9. Again,
this is inconsistent with B causality, since only D-het and not A
+ D-het individuals are heterozygous at B. In A-het donors there
appears to be an allelic imbalance in naive CD4+ T cells
favouring the MS-protective versus susceptible haplotype, which
is the opposite direction to that observed with protection at D and
could reflect an anticipatory differentiation of naive T cells
toward the memory lineage and its phenotype of increased CD25 In memory CD4+ T cells, A-het and A + D-het individuals
showed an allelic imbalance with the MS-protective A haplotype
producing more IL2RA mRNA, inconsistent with B causing the
imbalanced expression since A + D-het individuals tested are
homozygous for B (Fig. 7b). Also inconsistent with B causality is 10 ARTICLE ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 expression in A haplotype donors. However, it is not significant,
and we did not observe an increase in CD25+ naive T cells
associated with the MS-protective A allele in a previous study24. Additionally, we identified four individuals, three of whom
carry rare IL2RA haplotypes (Fig. 7c): donor 1 carries a common
haplotype combination that is homozygous across A, B, D; donor
2 carries the minor allele at B in the absence of a minor allele at
either A or D, donor 3 carries a minor allele at D but not B, and
donor 4 also carries a minor allele at D but not at B on one
haplotype and minor alleles at A and B on the other haplotype
(Fig. 7a). NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Source data are provided in Supplementary Data 12 Fig. 7 Allele-specific expression analysis of IL2RA. This shows that there are two phenotypes that map to the A and D SNP groups and not the B group,
providing functional evidence that the stochastic search better explains the genetic association than stepwise. a Schematic of donor IL2RA genotypes used
in allele-specific expression studies. As the minor alleles for both A and D each usually co-occur with the minor B allele, in A-het and D-het individuals, the
B SNP is heterozygous but in A + D-het individuals, the B SNP is homozygous. There are rare exceptions as seen in donors 3 and 4. b Allele-specific
expression of IL2RA in CD4+ central memory T cells and CD4+ naive T cells in A-het, D-het and A + D het donors. The allelic ratios (top:bottom
haplotypes shown in panel a) are calculated from 3–4 replicates per individual. P-values were calculated by t-test of allelic ratio in each group compared to
gDNA. Donors that contributed to panel c are indicated by a triangle. c Donors with rare IL2RA haplotypes confirm that the B SNP does not explain
genotype-phenotype expression of IL2RA. As there is only one donor per genotype we cannot perform statistical testing. We show each of the four
replicate allelic ratios (ratio order as in panel b) to indicate the variability of the assay. The bounds of each box correspond to the first and third quartiles,
and the whiskers extend to the smallest/largest value at most 1.5*IQR from the bounds; IQR is the distance between the first and third quartiles. Data
beyond the whisker ends are plotted individually. Source data are provided in Supplementary Data 12 The SNPs belonging to the above-mentioned groups, as well as the lead SNPs
for autoimmune thyroid disease (ATD; rs706799), alopecia areata (AA; rs3118470),
rheumatoid arthritis (RA; rs10795791) and ulcerative colitis (UC; rs4147359) were
extracted from the generated data for analyses via stepwise regression and
stochastic search; the lead SNP for multiple sclerosis forms group B. This extraction
was done for computational efficiency, and is based on the previous analysis of MS
and T1D that identified these SNP groups as contributing the majority of the
posterior probability9. All other SNPs contribute negligible posterior probability
and we assume this in the simulations. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 A het
A
B
C
D
E
F
D het
A
B
C
D
E
F
A + D het
A
B
C
D
E
F
Donor 1
A
B
C
D
E
F
Donor 2
A
B
C
D
E
F
Donor 3
A
B
C
D
E
F
Donor 4
A
B
C
D
E
F
Legend
Non-reference allele
Either allele
Reference allele
a
p = 2.4 × 10−7
gDNA
Central memory T cells
Naive T cells
A het
D het
A + D het
A het
D het
A + D het
0.5
1.0
1.5
2.0
Genotype group
Allelic ratio
b
gDNA
Central memory T cells
Naive T cells
Dnr 1 Dnr 2 Dnr 3 Dnr 4
Dnr 1 Dnr 2 Dnr 3 Dnr 4
0.5
1.0
1.5
2.0
Genotype group
Allelic ratio
c
p = 8.8 × 10−5
p = 1 × 10−4
p = 0.0099
p = 0.037
p = 0.036
Fig. 7 Allele-specific expression analysis of IL2RA. This shows that there are two phenotypes that map to the A and D SNP groups and not the B grou
providing functional evidence that the stochastic search better explains the genetic association than stepwise. a Schematic of donor IL2RA genotypes use
n allele-specific expression studies. As the minor alleles for both A and D each usually co-occur with the minor B allele, in A-het and D-het individuals, th
B SNP is heterozygous but in A + D-het individuals, the B SNP is homozygous. There are rare exceptions as seen in donors 3 and 4. b Allele-specific
expression of IL2RA in CD4+ central memory T cells and CD4+ naive T cells in A-het, D-het and A + D het donors. The allelic ratios (top:bottom
haplotypes shown in panel a) are calculated from 3–4 replicates per individual. Methods
Si
l ti Simulations—single trait. Simulations were carried out under a realistic scenario
that mimics the MAF and r2 in the IL2RA region. We simulated haplotypes for 345
SNPs in chromosome 10p-6030000-6220000 (GRCh37/hg19), based on the CEU
1000 Genomes Phase 3 data36 (ftp://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/
20130502/) using HapGen237. Code to perform the simulations can be found in
https://github.com/jennasimit/MFMextra. Causal variants were selected within
SNP groups for each disease model (see Supplementary Data 11) with various OR
relating the odds of disease in heterozygote carriers of the non-reference allele
compared to the homozygote reference allele. We assumed a multiplicative model
throughout. Simulations—single trait. Simulations were carried out under a realistic scenario
that mimics the MAF and r2 in the IL2RA region. We simulated haplotypes for 345
SNPs in chromosome 10p-6030000-6220000 (GRCh37/hg19), based on the CEU
1000 Genomes Phase 3 data36 (ftp://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/
20130502/) using HapGen237. Code to perform the simulations can be found in
https://github.com/jennasimit/MFMextra. Causal variants were selected within
SNP groups for each disease model (see Supplementary Data 11) with various OR
relating the odds of disease in heterozygote carriers of the non-reference allele
compared to the homozygote reference allele. We assumed a multiplicative model
throughout. TURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications 11 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 P-values were calculated by t-test of allelic ratio in each group compared et
2
p = 2.4 × 10−7
gDNA
Central memory T cells
Naive T cells
A het
D het
A + D het
A het
D het
A + D het
0.5
1.0
1.5
2.0
Genotype group
Allelic ratio
b
p = 8.8 × 10−5
p = 1 × 10−4
p = 0.0099
p = 0.037
p = 0.036 b G
yp
g
p
gDNA
Central memory T cells
Naive T cells
Dnr 1 Dnr 2 Dnr 3 Dnr 4
Dnr 1 Dnr 2 Dnr 3 Dnr 4
0.5
1.0
1.5
2.0
Genotype group
Allelic ratio
c c Dnr 1 Dnr 2 Dnr 3 Dnr 4
Dnr 1 Dnr 2 Dnr 3 Dnr 4
Genotype group Fig. 7 Allele-specific expression analysis of IL2RA. This shows that there are two phenotypes that map to the A and D SNP groups and not the B group,
providing functional evidence that the stochastic search better explains the genetic association than stepwise. a Schematic of donor IL2RA genotypes used
in allele-specific expression studies. As the minor alleles for both A and D each usually co-occur with the minor B allele, in A-het and D-het individuals, the
B SNP is heterozygous but in A + D-het individuals, the B SNP is homozygous. There are rare exceptions as seen in donors 3 and 4. b Allele-specific
expression of IL2RA in CD4+ central memory T cells and CD4+ naive T cells in A-het, D-het and A + D het donors. The allelic ratios (top:bottom
haplotypes shown in panel a) are calculated from 3–4 replicates per individual. P-values were calculated by t-test of allelic ratio in each group compared to
gDNA. Donors that contributed to panel c are indicated by a triangle. c Donors with rare IL2RA haplotypes confirm that the B SNP does not explain
genotype-phenotype expression of IL2RA. As there is only one donor per genotype we cannot perform statistical testing. We show each of the four
replicate allelic ratios (ratio order as in panel b) to indicate the variability of the assay. The bounds of each box correspond to the first and third quartiles,
and the whiskers extend to the smallest/largest value at most 1.5*IQR from the bounds; IQR is the distance between the first and third quartiles. Data
beyond the whisker ends are plotted individually. 3.
Keep the first Nk rows from Gk, k = 0, 1, 2. We focused on a target odds (TO) of 1, such that there is an equal
probability of sharing to non-sharing. Results for a range of TO from 9 (no sharing
more likely than sharing of causal variants) to 0.35 (sharing more likely than
distinct causal variants) are in Supplementary Data 5–8. Mathematical predictions of minimum univariate p-value. We used sunbeam
plots to characterise how changing the odds ratio of two causal SNPs in a model
can change the probability that a third variant will have the minimum p-value (and
hence be selected first in any stepwise fine-mapping algorithm). We utilised
components of the simGWAS package (http://github.com/chr1swallace/
simGWAS) to calculate expected GWAS Z scores for any given set of causal
variants and their effect sizes, across those causal variants and their neighbouring
SNPs38. We considered the behaviour of Z scores at each of two nominated causal
variants (following Fig. 1, let us refer to these variants as A and C) with a third
SNP, not itself causal, but potentially correlated with both A and C (in Fig. 1, this
is SNP J). For each of a range of possible odds ratios, we computed which of the
three SNPs had the smallest expected p-value, and coloured that square of the grid
correspondingly. When the log odds ratios of both A and C were close to 0, then
no SNP had a low p-value and it was not possible to find significant evidence of
disease association in the region. This section of the grid was coloured white. Superimposed upon the grid is a point corresponding to the odds ratio we
computed for A and C from the real dataset. Code to produce these plots is at
https://github.com/chr1swallace/MFM-paper/tree/master/sunbeams. Haplotype analyses. Haplotype analyses were performed by first phasing the
genotypes across selected SNPs using an E–M algorithm and selecting 10 multiply
imputed samples from the posterior (snphap, https://github.com/chr1swallace/
snphap). These samples were analysed in parallel and results combined using
standard multiple imputation functions in the R package MICE41. Code to
implement these steps is available at https://github.com/chr1swallace/snpHaps. All
analyses included the first four PCs, and country as an additional covariate for
iCEL and iRA to account for population structure. Allele-specific expression. Samples were obtained from the Cambridge BioR-
esource (www.cambridgebioresource.org.uk) as part of the ‘Genes and Mechanisms
of Type 1 Diabetes’ study and were of self-reported white ethnicity. 3.
Keep the first Nk rows from Gk, k = 0, 1, 2. We simulated either shared configurations where each disease was under the
influence of two causal variants, one shared between diseases (A) and one unique
to each disease (one from C, one from D); or independent configurations, where
the two diseases were under the influence of distinct causal variants (one from each
of A and D for one disease and one from C for the other disease) or one disease had
no associations in the region (one from each of A and D for one disease and none
for the other disease). All causal variants were assigned an odds ratio of 1.25 or 1.4. For both diseases, equal-sized case-control samples consisting of N cases and N
controls were considered for N ranging from 1000 to 5000; each simulation setting
had 100 replications. Code to perform these steps is available at https://github.com/chr1swallace/
MFM-analysis. Code to perform these steps is available at https://github.com/chr1swallace/
MFM-analysis. SNP grouping. SNPs with marginal posterior probability of inclusion >0.001
were grouped according to criteria of substitutability—that is, any single SNP in
a group can be used in place of any other to give similar model fits (assessed by
Bayes factors) and no more than 1 SNP in the same group is needed to define
any models with even modest posterior support. We reasoned that this meant
SNPs would need to be in LD—high r2—and rarely selected together in models—
i.e. model selection correlation (rmodel) should be negative; both rmodel and r2 are
used so that our SNP grouping is informed by both model posteriors and LD. We hierarchically cluster SNPs within each disease according to r2 × sign(rmodel)
using complete linkage, and group SNPs by cutting the tree such that all SNPs
within a group must have pairwise r2 > 0.5, pairwise rmodel < 0, and marginal
posterior probability that both are included in a model was <0.01. We then
identify overlapping groups defined in different diseases, and merge or split
groups when they meet this criteria. The specific algorithm is defined in the
group.multi function in https://github.com/chr1swallace/GUESSFM/blob/
master/R/groups.R. We compared the independent stochastic search analyses of each disease with
the multinomial approach with upweighted sharing based on a range of target odds
(i.e. prior odds of no sharing of causal variants between one disease and any other
disease). NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 (RA)16 and autoimmune thyroid disease (ATD)13 (Supplementary Table 1). All
genome coordinates are from build GRCh37. (RA)16 and autoimmune thyroid disease (ATD)13 (Supplementary Table 1). All
genome coordinates are from build GRCh37. https://github.com/jennasimit/MFMextra. First we used HapGen2 to generate a
population of 100,000 individuals based on the CEU 1000 Genomes Phase 3 data. Causal variants for each trait were randomly selected within particular SNP groups
for a certain disease model (see Supplementary Data 11); when the same SNP
group contained a causal variant for both diseases, one variant was selected from
the group and set as causal for both diseases. This reflects our belief that if causal
variants for two diseases are known to belong to the same small SNP group, it is
likely that the same SNP is causal for both diseases rather than different SNPs in
the same high-LD group. https://github.com/jennasimit/MFMextra. First we used HapGen2 to generate a
population of 100,000 individuals based on the CEU 1000 Genomes Phase 3 data. Causal variants for each trait were randomly selected within particular SNP groups To ensure controls could be combined across datasets, we restricted analysis for
the multinomial model to UK samples, and used principal component analysis
including 1000 Genomes data to exclude two individuals who fell outside
individual country clusters. Genotypes were compared between datasets to ensure
exclusion of duplicate samples. Data were split into subsets according to the
densely genotyped regions targeted by the ImmunoChip (Supplementary Data 1)
and imputed to 1000 Genomes phase 336 using SHAPEIT39 and IMPUTE240. Phased reference data were downloaded from https://mathgen.stats.ox.ac.uk/
impute/1000GP_Phase3.html. Country and the first four principal components
were included as covariates in all regressions to account for population structure. SNPs were excluded if they had info scores < 0.3, certainty < 0.98, |Z| for HWE > 4
in UK controls, MAF < 0.5% in UK controls, call rate < 0.99 in any case or control
group, or an absolute difference in certain genotype call rates between controls and
any case group of >5%. for a certain disease model (see Supplementary Data 11); when the same SNP
group contained a causal variant for both diseases, one variant was selected from
the group and set as causal for both diseases. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Set j = 1 and repeat the following steps while n0 < N0 or n1 < N1 or n2 < N2. k
2. Set j = 1 and repeat the following steps while n0 < N0 or n1 < N1 or n2 < N2. Stochastic search fine-mapping of single diseases was performed using
GUESSFM (http://github.com/chr1swallace/GUESSFM). Initial searches were
performed after tagging at r2 < 0.99 with an optimistic binomial prior for the
number of causal variants per region with expectation set at 3 to allow good mixing
of the chains. Reanalysis of the expanded tag sets for SNPs in models included in
the model set with total posterior probability 0.99 was performed using
approximate Bayes factors and the more conservative prior expectation of two
causal variants per region using GUESSFM. GUESSFM results were combined
using the methods proposed in this paper (details in Supplementary Notes 3), as
implemented in the R package MFM (http://github.com/jennasimit/MFM). We set
the prior odds that two diseases shared any causal variants to 1 (i.e. a 50%
probability that they share none). For a number of diseases, d > 2, we set the prior
that the diseases share no causal variants to 0:5
ffiffiffiffiffiffi
d1
p
, where the exponent is the
geometric mean of the exponents in the (nonsensical) extremes 0.5d-1, which
assumes all diseases are independent and 0.5 which assumes all diseases are
completely dependent. a. For k = 1, 2 determine pjk ¼ logit1ðβ0 þ P
1
i¼1
βikxijÞ and generate
uniform random variables u1, u2. b. If u1 > p1 and u1 > p2, then n0 = n0 + 1, append gj to G0, j = j+ 1, and go
to beginning of step 2. c. Else, if u1 ≤p1 and u1 > p2, then n1 = n1 + 1, append gj to G1, j=j=+ 1,
and go to beginning of step 2. d. Else, if u1 ≤p2 and u1 > p1, then n2 = n2 + 1, append gj to G2, j = j + 1,
and go to beginning of step 2. g
g
g
p
e. Else, if u2 < 0.5 and n1 < N1, then n1 = n1 + 1and append gj to G1, j = j
+ 1. Otherwise, n2 = n2 + 1and append gj to G2, j = j + 1. Go to
beginning of step 2. ARTICLE ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 This reflects our belief that if causal
variants for two diseases are known to belong to the same small SNP group, it is
likely that the same SNP is causal for both diseases rather than different SNPs in
the same high-LD group. g
g
p
Logistic regression models with the selected causal variants and odds ratios
(OR) were then used to assign each individual as either a member of the controls,
disease 1 cases, or disease 2 cases until the desired number of individuals in each
group was attained; let ORjk be the odds ratio for causal variant j and disease k. The
prevalence for both diseases was set to 0.1, as our purpose is to generate cases and
controls for method comparison. In particular, the following steps were used to
ascertain control/disease 1/disease 2 status, where xij is the number of non-
reference alleles of variant i for individual j (i.e. genotype score), gj is the vector of
genotype scores for individual j, β0 = log(0.1), βik = log(ORik) is the effect of causal
variant i for disease k, and m1 is the number of causal variants. Forward stepwise regression was performed using univariate logistic regressions
across all SNPs in the region. The SNP with the strongest association (smallest
p-value) was selected, then all two-SNP models containing the selected SNP and
any other SNP were considered, and the process repeated until no SNP could be
added with a marginal p < 10−6, a less stringent threshold (than the conventional
5 × 10−8), chosen so that less than genome-wide significant associations can be
considered when other diseases are also associated, in which case borrowing power
may be informative. 1. Let nk be the number of individuals ascertained to group k (controls are group
0, groups 1 and 2 consist of members with disease 1 and 2, respectively) and
Gk be the matrix of genotype scores for individuals in group k. Initialise nk = 0
and Gk as a null vector. 1. Let nk be the number of individuals ascertained to group k (controls are group
0, groups 1 and 2 consist of members with disease 1 and 2, respectively) and
Gk be the matrix of genotype scores for individuals in group k. Initialise nk = 0
and Gk as a null vector. k
2. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 The total number of SNPs in the region is
not disregarded and is used in the prior probability calculations for the SNPs that
are analysed. For each replication a stepwise regression model was fit, adding SNPs to the
model using a p-value threshold of 1 × 10−6. To generate stochastic search results,
we used GUESSFM9, setting a prior of three causal variants for the region to
encourage good mixing of the chains in the initial Bayesian variable selection, and
setting the prior to a more conservative two causal variants per region to obtain
final model posterior probabilities (PP). Model fits were summarised by the
proportion of times each model was selected via stepwise regression or the mean of
the GUESSFM posterior probabilities for each model. Simulations—multiple traits. We adapted the HapGen2 simulation outlined
above to simulate datasets for two case and one control set; code is available in 12 NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications ARTICLE ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 CD45RA+ and CD27+, whereas CD4+ central memory T cells were sorted as CD3+
CD4+ CD8−CD127med/high CD25low-med CD45RA−and CD27+. CD45RA+ and CD27+, whereas CD4+ central memory T cells were sorted as CD3+
CD4+ CD8−CD127med/high CD25low-med CD45RA−and CD27+. 6. Chen, W. et al. Fine mapping causal variants with an approximate bayesian
method using marginal test statistics. Genetics 200, 719–736 (2015). To phase the direction of effect from the four donors carrying rare IL2RA
haplotypes (Fig. 7a, c), their haplotypes were compared to those found in the 1000
Genome Project CEU data to assess the allele frequency of the ASE readout SNP
(rs12244380, A or G), to predict which allele is most likely to be carried. For donor 1,
the E haplotype carries the G allele with frequency 73% whereas the susceptible
haplotype carries the A allele 60% of the time. For donor 2, it is most likely the B and
E alleles are on the same haplotype (20 examples where they are together vs four
examples where they are on different chromosomes), and here the B + E haplotype
carries the A allele of rs12244380 (100%). For donor 3, all examples of the D
haplotype lacking the B allele carry the A allele of rs12244380 (14/14), whereas the E
haplotype carries the G allele of rs12244380 73% of the time. Lastly, for donor 4, the A
haplotype carries the G allele of rs12244380 88% of the time, and for all examples of
the D haplotype lacking B carries the A allele of rs12244380 (7/7). Where multiple
assays were performed on the same donor, we retained those with the smallest
standard deviation of allelic ratios but show both results in Supplementary Data 12 g
g
7. Benner, C. et al. FINEMAP: efficient variable selection using summary data
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Keep the first Nk rows from Gk, k = 0, 1, 2. Informed
consent was obtained from all volunteers for the collection and use of the per-
ipheral blood samples. The NHS Cambridgeshire Research Ethics committee
approved this work involving human participants for allele-specific expression
assays. Data and samples were treated anonymously and confidentially. Allele-specific expression analysis was performed as described in Burren et al.,
201729 but modified to start with sorted CD4+ naive and central memory T cells. CD4+ naive T cells were sorted as CD3+ CD4+ CD8−CD127med/high CD25low-med Fine-mapping analyses of ImmunoChip-genotyped diseases. We collated
individual genotype data generated using the ImmunoChip for a total of 61,641
individuals, formed of controls and six disease cohorts: MS (UK subset)12, T1D11,
juvenile idopathic arthritis (JIA, UK subset)15, celiac disease14, rheumatoid arthritis 13 NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunication TURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications Received: 26 February 2019 Accepted: 2 July 2019 Author contributions Sparks Childhood Arthritis
Response to Medication Study was funded by Sparks, UK (08ICH09) and the Big Lottery
Fund, UK (RG/1/010135231). MS—US National Institutes of Health, the Wellcome
Trust, the UK MS Society, the UK Medical Research Council, the US National MS
Society, the Cambridge National Institute for Health Research (NIHR) Biomedical
Research Centre, DeNDRon, the Bibbi and Niels Jensens Foundation, the Swedish Brain
Foundation, the Swedish Research Council, the Knut and Alice Wallenberg Foundation,
the Swedish Heart–Lung Foundation, the Foundation for Strategic Research, the J.A. developed the MFM method, performed statistical analyses and interpreted results,
wrote the paper. D.R. performed ASE assays and analysis and interpreted results, wrote
the paper. M.F. performed mathematical analyses and conceived the sunbeam plots. N.G. performed mathematical analyses and verified the analytical methods. L.W. supervised
ASE work, interpreted the results of ASE analyses and all the fine-mapping analyses,
wrote the paper. C.W. conceived the study, developed the MFM method, performed
statistical analyses and interpreted results, wrote the paper. All authors read and agreed
the manuscript. Howard Martin, Fay Rodger and Ruth Littleboy for running the Illumina MiSeq in the
Stratified Medicine Core Laboratory NGS hub, Department of Medical Genetics, Cam-
bridge University, Addenbrooke’s Hospital, Cambridge. This research was supported by
the Cambridge NIHR BRC Cell Phenotyping Hub. In particular, we wish to thank Anna
Petrunkina Harrison, Simon McCallum, Christopher Bowman, Natalia Savinykh, Esther
Perez and Jelena Markovic Djuric for their advice and support in cell sorting. We also
thank Helen Stevens, Pamela Clarke, Gillian Coleman, Sarah Dawson, Jennifer Denesha,
Simon Duley, Meeta Maisuria-Armer and Trupti Mistry for acquisition and preparation
of samples. We thank Stephen Eyre for helpful comments and disease investigators ARTICLE ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11271-0 Stockholm County Council, Karolinska Institutet, INSERM, Fondation d’Aide pour la
Recherche sur la Sclrose en Plaques, Association Franaise contre les Myopathies, Infra-
strutures en Biologie Sant et Agronomie (GIS–IBISA), the German Ministry for Edu-
cation and Research, the German Competence Network MS, Deutsche
Forschungsgemeinschaft, Munich Biotec Cluster M4, the Fidelity Biosciences Research
Initiative, Research Foundation Flanders, Research Fund KU Leuven, the Belgian
Charcot Foundation, Gemeinntzige Hertie Stiftung, University Zurich, the Danish MS
Society, the Danish Council for Strategic Research, the Academy of Finland, the Sigrid
Juselius Foundation, Helsinki University, the Italian MS Foundation, Fondazione Car-
iplo, the Italian Ministry of University and Research, the Torino Savings Bank Foun-
dation, the Italian Ministry of Health, the Italian Institute of Experimental Neurology, the
MS Association of Oslo, the Norwegian Research Council, the South–Eastern Norwegian
Health Authorities, the Australian National Health and Medical Research Council, the
Dutch MS Foundation and Kaiser Permanente. RA—Arthritis Foundation, the US
National Institutes of Health, and Arthritis Research UK (21754). T1D—National
Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute of
Allergy and Infectious Diseases (NIAID), National Human Genome Research Institute
(NHGRI), National Institute of Child Health and Human Development (NICHD), and
the JDRF and supported by U01 DK062418. 37. Su, Z., Marchini, J. & Donnelly, P. HAPGEN2: simulation of multiple disease
SNPs. Bioinformatics 27, 2304–2305 (2011). 38. Fortune, M. & Wallace, C. simGWAS: a fast method for simulation of large
scale case-control GWAS summary statistics. Bioinformatics https://doi.org/
10.1093/bioinformatics/bty898 (2018). y
39. Delaneau, O., Zagury, J.-F. & Marchini, J. Improved whole-chromosome
phasing for disease and population genetic studies. Nat. Methods 10, 5–6
(2013). 40. Howie, B. N., Donnelly, P. & Marchini, J. A flexible and accurate genotype
imputation method for the next generation of genome-wide association
studies. PLoS Genet. 5, e1000529 (2009). 41. van Buuren, S. & Groothuis-Oudshoorn, K. mice: multivariate imputation by
chained equations in R. J. Stat. Softw., Artic. 45, 1–67 (2011). Acknowledgements The authors would like to thank the Rivas lab for making the Global Biobank Engine
resource available. We gratefully acknowledge the participation of all NIHR Cambridge
BioResource volunteers. We thank the Cambridge BioResource staff for their help with
volunteer recruitment. We thank members of the Cambridge BioResource SAB and
Management Committee for their support of our study and the National Institute for
Health Research Cambridge Biomedical Research Centre for funding. Access to Cam-
bridge BioResource volunteers and to their data and samples are governed by the
Cambridge BioResource SAB. Documents describing access arrangements and contact
details are available at www.cambridgebioresource.org.uk. We thank Graeme Clark, Additional information Supplementary Information accompanies this paper at https://doi.org/10.1038/s41467-
019-11271-0. Competing interests: The authors declare no competing interests. Author contributions Health Research Cambridge Biomedical Research Centre for funding. Access to Cam-
bridge BioResource volunteers and to their data and samples are governed by the
Cambridge BioResource SAB. Documents describing access arrangements and contact
details are available at www.cambridgebioresource.org.uk. We thank Graeme Clark,
Howard Martin, Fay Rodger and Ruth Littleboy for running the Illumina MiSeq in the
Stratified Medicine Core Laboratory NGS hub, Department of Medical Genetics, Cam-
bridge University, Addenbrooke’s Hospital, Cambridge. This research was supported by
the Cambridge NIHR BRC Cell Phenotyping Hub. In particular, we wish to thank Anna
Petrunkina Harrison, Simon McCallum, Christopher Bowman, Natalia Savinykh, Esther
Perez and Jelena Markovic Djuric for their advice and support in cell sorting. We also
thank Helen Stevens, Pamela Clarke, Gillian Coleman, Sarah Dawson, Jennifer Denesha,
Simon Duley, Meeta Maisuria-Armer and Trupti Mistry for acquisition and preparation
of samples. We thank Stephen Eyre for helpful comments and disease investigators
Stephen Eyre, Wendy Thomson, Gosia Trynka, David van Heel, Steve Rich and the Type
1 Diabetes Genetics Consortium, Stephen Sawcer and the International Multiple Sclerosis
Genetics Consortium, Matthew Simmonds, Stephen Gough, Jayne Franklyn, and Oliver
Brand for sharing genotype data. This work was supported by the MRC (MC UU 00002/
4, MR/R021368/1), the Wellcome Trust (096388, 099772, 107212, 107881), the JDRF (9-
2011-253 and 5-SRA-2015-130-A-N), the National Institute for Health Research Cam-
bridge Biomedical Research Centre (BRC), and Dementia Platforms UK. Funding of
collection and genotyping of samples: Controls—British 1958 Birth Cohort (MRC grant
G0000934, Wellcome Trust (grant 068545/Z/02). DNA control samples were prepared
and provided by S. Ring, R. Jones, M. Pembrey, W. McArdle, D. Strachan and P. Burton. UK Blood Services collection of common controls (UKBS-CC collection)—funded by
Wellcome Trust (076113/C/04/Z) and by a National Institute for Health Research pro-
gram grant to National Health Service Blood and Transplant (RP-PG-0310-1002). Genotyping of control samples was supported, in part, by grants from Juvenile Diabetes
Research Foundation International (JDRF) and the US NIH (U01 DK062418). ATD—
Wellcome Trust Celiac disease—Wellcome Trust, by grants from the Celiac Disease
Consortium and an Innovative Cluster approved by the Netherlands Genomics Initiative,
by the Dutch Government (BSIK03009 to C. Wijmenga) and the Netherlands Organi-
sation for Scientific Research (NWO, grant 918.66.620) and by the US National Institutes
of Health grant 1R01CA141743 and Fondo de Investigacin Sanitaria grants FIS08/1676
and FIS07/0353. JIA—Arthritis Research UK (grant 17552). References 31. Bottolo, L. et al. GUESS-ing polygenic associations with multiple phenotypes
using a GPU-based evolutionary stochastic search algorithm. PLoS Genet. 9,
e1003657 (2013). 1. Fortune, M. D. et al. Statistical colocalization of genetic risk variants for
related autoimmune diseases in the context of common controls. Nat. Genet. https://doi.org/10.1038/ng.3330 (2015). 1. Fortune, M. D. et al. Statistical colocalization of genetic risk variants for
related autoimmune diseases in the context of common controls. Nat. Genet. https://doi.org/10.1038/ng.3330 (2015). 32. Giambartolomei, C. et al. A Bayesian framework for multiple trait colocalization
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2. Cotsapas, C. et al. Pervasive sharing of genetic effects in autoimmune disease. PLoS Genet. 7, e1002254 (2011). 2. Cotsapas, C. et al. Pervasive sharing of genetic effects in autoimmune disease. PLoS Genet. 7, e1002254 (2011). 33. Cross-Disorder, Group of the Psychiatric Genomics Consortium. Identification of risk loci with shared effects on five major psychiatric
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genetic variation. Nature 526, 68–74 (2015). 14 NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications © The Author(s) 2019 Reprints and permission information is available online at http://npg.nature.com/
reprintsandpermissions/ Peer review information: Nature Communications thanks the anonymous reviewers for
their contribution to the peer review of this work. Peer reviewer reports are available. 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,
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the copyright holder. To view a copy of this license, visit http://creativecommons.org/
licenses/by/4.0/. © The Author(s) 2019 15 NATURE COMMUNICATIONS | (2019) 10:3216 | https://doi.org/10.1038/s41467-019-11271-0 | www.nature.com/naturecommunications
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Management of a parotid sialocelein a young patient: case report and literature review
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abstract S
ialocele is a subcutaneous cavity containing saliva, caused by trauma or infection in
the parotid gland parenchyma, laceration of the parotid duct or ductal stenosis with
subsequent dilatation. It is characterized by an asymptomatic soft and mobile swelling on
the parotid region. Imaging studies are useful and help establishing the diagnosis, such
as sialography, ultrasonography, computed tomography and magnetic resonance imaging. This paper describes a recurrent case of a parotid sialocele in a young female patient. She
presented a 6 cm x 5 cm swelling on the left parotid region. The ultrasonographic scan of
the area revealed a hypoechoic ovoid well defined image suggesting a cyst. A sialography
of the left parotid showed a cavitary sialectasia in a panoramic and anteroposterior view. A
conservative management was adopted by percutaneous needle aspiration of the swelling,
which was useful to provide material for analysis and helped healing. Dentists should be
aware of this pathology and the importance in adopting a conservative treatment whenever
it is possible. Key words: Parotid gland, diagnosis. Sialography. Sialocele. sialocele15. Temporomandibular joint surgery13,
parotidectomy18, mastoidectomy12, mandibular
osteotomies11 and facial abscess drainage25 have
been mentioned as potential causes of sialocele,
and in all these cases the duct and/or the gland are
damaged. Patient’s history usually includes facial
trauma or surgery, days or weeks before the onset
of the swelling5. www.scielo.br/jaos www.scielo.br/jaos Melissa Rodrigues de ARAUJO1, Bruna Stuchi CENTURION2, Danielle Frota de ALBUQUERQUE3,
Luiz Henrique MARCHESANO4, José Humberto DAMANTE5 Melissa Rodrigues de ARAUJO1, Bruna Stuchi CENTURION2, Danielle Frota de ALBUQUERQUE3,
Luiz Henrique MARCHESANO4, José Humberto DAMANTE5 Melissa Rodrigues de ARAUJO1, Bruna Stuchi CENTURION2, Danielle Frota de ALBUQUERQUE3,
Luiz Henrique MARCHESANO4, José Humberto DAMANTE5 1- DDS, MSc, PhD. Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. 1- DDS, MSc, PhD. Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. 2- DDS, Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. 3- DDS, MSc. Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. 4 MSc PhD Clinical Analysis Laboratory Craniofacial Anomalies Rehabilitation Hospital University of São Paulo Bauru SP Brazil 2- DDS, Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. 2- DDS, Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. 3 DDS MSc Department of Stomatology Bauru Dental School University of São Paulo Bauru SP Brazil 2 DDS, Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. 3- DDS, MSc. Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. 3- DDS, MSc. Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. 4- MSc, PhD. Clinical Analysis Laboratory, Craniofacial Anomalies Rehabilitation Hospital, University of São Paulo, Bauru, SP, Brazil. 4- MSc, PhD. Clinical Analysis Laboratory, Craniofacial Anomalies Rehabilitation Hospital, University of São Paulo, Bauru, SP, Braz
5- DDS, MSc, PhD, Full Professor. Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. y
y
p
y
5- DDS, MSc, PhD, Full Professor. Department of Stomatology, Bauru Dental School, University of São Paulo, Bauru, SP, Brazil. Received: March 13, 2009 - Modification: September 5, 2009 - Accepted: October 9, 2009 J Appl Oral Sci. 2010;18(4):432-6 Received: March 13, 2009 - Modification: September 5, 2009 - Accepted: October 9, 2009 Corresponding address: Melissa Rodrigues de Araujo - Rua Pedro Romildo Dall Stella, 100 - casa 5 - 82.115-470 - Phone: 41 3023 3357 or 8417 0800 -
melissararaujo@hotmail.com rresponding address: Melissa Rodrigues de Araujo - Rua Pedro Romildo Dall Stella, 100 - casa 5 - 82.115-470 - Phone: 41 3023 3357
lissararaujo@hotmail.com ress: Melissa Rodrigues de Araujo - Rua Pedro Romildo Dall Stella, 100 - casa 5 - 82.115-470 - Phone: 41 3023 3357 or 8417 0800 - Introduction Sialocele is a subcutaneous cavity containing
saliva, usually results from trauma or infection to
the parotid gland parenchyma, laceration of the
parotid duct or ductal stenosis with subsequent
dilatation5. A post-traumatic sialocele is an acquired
lesion that arises from extravasation of saliva into
the glandular or periglandular tissues secondary
to disruption of the parotid duct or parenchyma1,7. Traumatic causes include sharp penetrating wounds
in the oral cavity or in the face6,17 and blunt trauma,
such as zygomatic and mandible fractures15,19. Extrinsic infections from mandibular teeth3 mumps,
actinomycosis, tuberculosis and syphilis have been
recognized as causes of parotid fistulae in the past14.i Sialocele is characterized by a swelling on the
parotid region. On palpation, the lesion may be
soft and mobile and unless secondary infected,
the patient has no pain, fever, chills, or erythema
of the skin7. The diagnosis is complex and involves a
combination of thorough history and clinical
assessment of the patient, fine needle aspiration
and image analysis. Fine needle aspiration is
a standard technique which permits sampling
and the fluid may be submitted to further Congenital fistulae and the ones secondary
to invasive malignant tumors of the parotid
gland or the oral cavity can also be associated to 432 J Appl Oral Sci. Management of a parotid sialocelein a young patient: case report and literature review investigation. Imaging studies include sialography,
ultrasonography, computed tomography (CT) and
magnetic resonance imaging5,7. The sialography is
a technique that may increase sialocele’s pressure
causing rupture and fistulae, although this is not a
commonly observed complication18. CT may show
details of the area, such as a single or multiloculated
cystic lesion with regular margins and lower density
of the surrounding tissues. The CT differential
diagnosis would include retention cyst, sialodochitis,
branchial cleft cyst and lymphoepithelial cyst7. the affected side was normal and salivary flow had normal
physical aspects without debris or purulent discharge. The
presumptive clinical diagnosis was an abscess associated
to mild inflammation, considering the patient’s history
and the previous episodes. Conventional panoramic
radiography, ultrasonography and sialography were
performed. The panoramic radiograph showed teeth and
bones preserved without any evidence of abnormalities. The ultrasonographic scan revealed a hypoechoic
ovoid well defined image suggesting a cyst (Figure 2). Figure 1- Anteroposterior facial view illustrating the 6 x 5
cm swelling on patient’s left cheek Many treatment modalities have been mentioned
in the literature. They basically consist of a
conservative or a surgical approach. Introduction A conservative
modality is based on regular aspiration of the
content, compression dressing, and administration
of an antisialogogue8,18. Radiotherapy and toxins
are other treatment modalities. Administration
of botulinum toxin causes temporary chemical
denervation of the cholinergic nerve fibers and
has been used successfully. It is a highly effective,
safe and non invasive method21,22,28. Drugs
act by blocking acethylcoline release, thereby
inhibiting neurotransmission at the secretomotor
parasympathetic autonomic nerve ending
responsible for salivation9. When conservative
management fails, or when the overlying skin
become so thin that there is imminent risk of
rupture, surgical treatment is indicated11. Surgery
may be performed by repair or reconstruction of
the duct, creation of a controlled internal fistula,
superficial or total parotidectomy, parasympathetic
denervation, and ductal ligation. If the sialocele is
left untreated, it may develop into a significantly
large facial swelling, fistula formation and may drain
extra orally8,29 This paper reports a case of a parotid sialocele
in a young patient managed with a conservative
approach. J Appl Oral Sci. Case Report Figure 1- Anteroposterior facial view illustrating the 6 x 5
cm swelling on patient’s left cheek A white17-year-old female patient presented
with a 4-month history of swelling over her left
cheek anteriorly to the ear. She referred 3 previous
episodes, the last one having started 1 month
before the appointment. She denied trauma to the
region, had not have episodes of fever lately and
her medical history was not contributory. There was
no associated pain or alteration of facial function as
well as no motor or sensory deficits were observed. A white17-year-old female patient presented
with a 4-month history of swelling over her left
cheek anteriorly to the ear. She referred 3 previous
episodes, the last one having started 1 month
before the appointment. She denied trauma to the
region, had not have episodes of fever lately and
her medical history was not contributory. There was
no associated pain or alteration of facial function as
well as no motor or sensory deficits were observed. The swelling measured about 6 cm in length and 5
cm in width. On bimanual palpation an ill-defined and
resilient mass was noticed (Figure 1). This mass was
evident extra orally with a considerable bulging of the skin
in the left parotid region. The lesion was normal and no
lymphadenopathy was detected. On intraoral examination,
oral mucosa and teeth were healthy. The parotid duct in Figure 2- The longitudinal section in the ultrasonographic
scan of the left parotid gland demonstrates a hypoechoic
ovoid well-defined image suggesting a cyst The swelling measured about 6 cm in length and 5
cm in width. On bimanual palpation an ill-defined and
resilient mass was noticed (Figure 1). This mass was
evident extra orally with a considerable bulging of the skin
in the left parotid region. The lesion was normal and no
lymphadenopathy was detected. On intraoral examination,
oral mucosa and teeth were healthy. The parotid duct in Figure 2- The longitudinal section in the ultrasonographic
scan of the left parotid gland demonstrates a hypoechoic
ovoid well-defined image suggesting a cyst 433 433
2010;18(4):432-6 433
2010;18(4):432-6 J Appl Oral Sci. J Appl Oral Sci. 433
2010;18(4):432-6 2010;18(4):432-6 ARAUJO MR, CENTURION BS, ALBUQUERQUE DF, MARCHESANO LH, DAMANTE JH ARAUJO MR, CENTURION BS, ALBUQUERQUE DF, MARCHESANO LH, DAMANTE JH Sialography of the left parotid was performed using
Lipiodol® (Lipiodol; Guerbet, Jacarepaguá, RJ, Brazil) as
a substance of contrast. Case Report A partial filling of the gland was
enough to show cavitary sialectasia in a panoramic (Figure
3a) and anteroposterior view (Figure 3b), and the contrast
was retained in the gland for at least 24 hours (Figure 3c). A percutaneous needle aspiration of the swelling
was performed 2 weeks after the sialography. It
yielded 4 mL of a clear viscous fluid. The material
was submitted to microbiological analysis and
showed numerous polymorphonuclear leukocytes. The fluid did not show any bacterial growth and Figure 3- A panoramic (A) and an anteroposterior (B) radiograph taken after sialography of the left parotid gland. A partial
filling of the gland was sufficient to show cavitary sialectasia. The contrast was retained in the gland for at least 24 h, as
shown in the panoramic radiograph (C) Figure 3- A panoramic (A) and an anteroposterior (B) radiograph taken after sialography of the left parotid gland. A partial
filling of the gland was sufficient to show cavitary sialectasia. The contrast was retained in the gland for at least 24 h, as
shown in the panoramic radiograph (C) Figure 5- Complete recovery of the skin and remission of
the swelling after 30 days Figure 4- Erythema on the overlying skin after the
percutaneous needle aspiration Figure 4- Erythema on the overlying skin after the
percutaneous needle aspiration Figure 5- Complete recovery of the skin and remission of
the swelling after 30 days J Appl Oral Sci. J Appl Oral Sci. 434
2010;18(4):432-6 434 J Appl Oral Sci. 434
2010;18(4):432-6 . 434
2010;18(4):432-6 2010;18(4):432-6 Management of a parotid sialocelein a young patient: case report and literature review may be very helpful2. Sialography of the parotid
gland was mandatory in revealing the sialectasia in
our case and is also useful to distend the duct when
it is involved4. Lipiodol® is a solution containing
iodine that might have acted as an antibacterial
agent and helped reducing the facial swelling
combined with the aspiration. In our case report the
sialography served as a diagnostic tool and helped
healing the involved gland. There was a clear relief
of the signs after sialography. presented high amylase levels (7,810 units/L). The
aspiration procedure was sufficient to empty the
cavity. The patient was advertised to compression
dressing twice a day. Seven days after the
percutaneous aspiration a great decrease of the
swelling was observed. Case Report The overlying skin showed
a discreet erythema on the surface of the mass,
without signs of infection, and the patient did not
refer pain (Figure 4). At the 30-day follow-up visit,
complete recovery was noticed, and the residual
swelling had totally disappeared (Figure 5). The
patient was followed up during two years and a half
and no recurrence was detected. Another key to the diagnosis and treatment was
fine-needle aspiration, which provided material for
analysis and helped empting the gland. Parotid
secretion has a high amylase content that is usually
around 10,000 units/L19. In the present case, the
amylase content was 7,810 units/L, confirming the
diagnosis of parotid saliva extravasation. Discussion Primary parotid gland cysts are very rare,
representing five per cent of all parotid tumors10,23,25,. Mucoceles are round and well defined lesions that
contain mucus, when they occur in the parotid gland
are called sialoceles. For practical purposes they
may be regarded as being of either extravasation
or retention type. The term mucous extravasation
phenomenon (cyst) is used when mucus is extruded
into the connective tissues and is surrounded by a
granulation tissue, while mucous retention cyst is
used to describe a cyst with retained mucin that
is lined with ductal epithelium which may have
undergone squamous or oncocytic metaplasia26,27. The factors that determine a mucocele are the rate
of mucus production and the speed of phagocytosis
of the extravasated mucus. The majority of the
mucoceles previously reported in the parotid gland
are of retention type (ductal cyst)26. A variety of treatments have been proposed
for parotid sialoceles20. These include multiple
aspirations and compression dressings; late primary
repair or reconstruction of the duct; creation of
a controlled internal fistula; superficial or total
parotidectomy; parasympathetic denervation
(sectioning of the auriculotemporal nerve);
antisialogogues; radiation therapy and ductal
ligation. Most of these procedures are invasive
with risks of injury of the facial nerve, with variable
and often poor success rates7. The anticholinergic
drugs have many undesired side effects such as
xerostomia, constipation, photophobia, tachycardia
and urinary retention16. Atropine and glycopyrrolate
are antisialagogue drugs that may be used to treat
sialoceles4. The present case reported did not
require any invasive treatment or administration of
a drug. A conservative treatment such as suggested
by Landau and Stewart17 (1985), the injection of
an antibacterial solution to perform a sialography,
the aspiration of the content and the compression
dressing were capable to solve the case. Parotid sialoceles are lesions that occur after
trauma or injury in the face causing accumulation
of saliva in the area1,4,20. It has not been described
yet a case where the patient could not associate a
history of trauma, injury or surgery. It is possible
that our patient suffered a trauma of low intensity
and could not remember it, but it should be
something else to explain the 3 recurrent episodes
of tumefaction. Dentists should be aware of this pathology
and the importance in adopting a conservative
treatment whenever it is possible. J Appl Oral Sci. p
g
g
;
( )
40.
3- Bailey BM. A persistent parotid fistula following the extraction
of mandibular teeth. J Laryngol Otol. 1984;98(10):1051-4.
4- Barron R, Margulis A, Icekson M, Zeltser R, Eldad A, Nahlieli
O. Iatrogenic parotid sialocele following rhytidectomy: diagnosis
and treatment. Plast Reconstr Surg. 2001;108(6).
5- Bater MC. An unusual case of preauricular swelling: a giant
parotid sialocele. Int J Oral Maxillofac Surg. 1998;27(2):125-6.
6- Burch RJ. Spontaneous closure of a parotid gland fistula with
the aid of banthine; report of a case. Oral Surg Oral Med Oral
Pathol. 1953;6(10):1191-4. 1- Akinbami BO. Traumatic diseases of parotid gland and
sequalae. Review of literature and case reports. Niger J Clin Pract.
2009;12(2):212-5.
2- Antoniadis K, Karakasis D, Tzarou V, Skordalaki A. Benign cysts
of the parotid gland. Int J Oral Maxillofac Surg. 1990;19(3):139-
40.
3- Bailey BM. A persistent parotid fistula following the extraction
of mandibular teeth. J Laryngol Otol. 1984;98(10):1051-4.
4- Barron R, Margulis A, Icekson M, Zeltser R, Eldad A, Nahlieli
O. Iatrogenic parotid sialocele following rhytidectomy: diagnosis
and treatment. Plast Reconstr Surg. 2001;108(6).
5- Bater MC. An unusual case of preauricular swelling: a giant
parotid sialocele. Int J Oral Maxillofac Surg. 1998;27(2):125-6.
6- Burch RJ. Spontaneous closure of a parotid gland fistula with
the aid of banthine; report of a case. Oral Surg Oral Med Oral
Pathol. 1953;6(10):1191-4. 2- Antoniadis K, Karakasis D, Tzarou V, Skordalaki A. Benign cysts
of the parotid gland. Int J Oral Maxillofac Surg. 1990;19(3):139-
40. 3- Bailey BM. A persistent parotid fistula following the extraction
of mandibular teeth. J Laryngol Otol. 1984;98(10):1051-4. References Initially, our patient had a resilient, ill-defined
mass, which was difficult to palpate, probably due to
the position of the cystic diffuse inflammation, under
the dense parotid fascia, which makes physical
examination unreliable. Clinical assessment may
be inaccurate in these cases4,24. However, soft and
mobile lesions had also been described when they
are more superficial7. 1- Akinbami BO. Traumatic diseases of parotid gland and
sequalae. Review of literature and case reports. Niger J Clin Pract. 2009;12(2):212-5. 1- Akinbami BO. Traumatic diseases of parotid gland and
sequalae. Review of literature and case reports. Niger J Clin Pract. 2009;12(2):212-5. 2- Antoniadis K, Karakasis D, Tzarou V, Skordalaki A. Benign cysts
of the parotid gland. Int J Oral Maxillofac Surg. 1990;19(3):139-
40. 2- Antoniadis K, Karakasis D, Tzarou V, Skordalaki A. Benign cysts
of the parotid gland. Int J Oral Maxillofac Surg. 1990;19(3):139-
40. 2- Antoniadis K, Karakasis D, Tzarou V, Skordalaki A. Benign cysts
of the parotid gland. Int J Oral Maxillofac Surg. 1990;19(3):139-
40. 3- Bailey BM. A persistent parotid fistula following the extraction
of mandibular teeth. J Laryngol Otol. 1984;98(10):1051-4. Our patient did not present fever or other
compromising signs in any episode of swelling20. The management of a patient with a swelling
in the parotid region requires careful clinical
evaluation. Fine-needle aspiration or biopsy is
necessary for a definite diagnosis. Sialography,
computed tomography and ultrasonographic scans 435 435 J Appl Oral Sci. 2010;18(4):432-6 ARAUJO MR, CENTURION BS, ALBUQUERQUE DF, MARCHESANO LH, DAMANTE JH ARAUJO MR, CENTURION BS, ALBUQUERQUE DF, MARCHESANO LH, DAMANTE JH 19- Meyer RA, Gordon RC. Method for repair of traumatic
pseudocyst of parotid duct: report of case. J Oral Surg. 1969;27(4):281-3. 19- Meyer RA, Gordon RC. Method for repair of traumatic
pseudocyst of parotid duct: report of case. J Oral Surg. 1969;27(4):281-3. 7- Canosa A, Cohen MA. Post-traumatic parotid sialocele: report
of two cases. J Oral Maxillofac Surg. 1999;57(6):742-5. 19- Meyer RA, Gordon RC. Method for repair of traumatic
pseudocyst of parotid duct: report of case. J Oral Surg. 1969;27(4):281-3. 8- Cholankeril JV, Scioscia PA. Post-traumatic sialoceles and
mucoceles of the salivary glands. Clin Imaging. 1993;17(1):41-5. 8- Cholankeril JV, Scioscia PA. Post-traumatic sialoceles and
mucoceles of the salivary glands. Clin Imaging. 1993;17(1):41-5. 9- Chow TL, Kwok SP. Use of botulinum toxin type A in a case of
persistent parotid sialocele. Hong Kong Med J. 2003;9(4):293-4. 10- Cohen MN, Rao U, Shedd DP. Benign cysts of the parotid gland. J Surg Oncol. 1984;27(2):85-8. 20- Monfared A, Ortiz J, Roller C. Distal parotid duct pseudocyst as
a result of blunt facial trauma. Ear Nose Throat J. 2009;88(8):15-7. 21- Parekh D, Glezerson G, Stewart M, Esser J, Lawson HH. Post-traumatic parotid fistulae and sialoceles. A prospective
study of conservative management in 51 cases. Ann Surg. 1989;209(1):105-11. 11- Demetriades D, Rabinowitz B. Management of parotid
sialoceles: a simple surgical technique. Br J Surg. 1987;74(4):309. 11- Demetriades D, Rabinowitz B. Management of parotid
sialoceles: a simple surgical technique. Br J Surg. 1987;74(4):309. 12- Dierks EJ, Granite EL. Parotid sialocele and fistula after
mandibular osteotomy. J Oral Surg. 1977;35(4):299-300 22- Pereira KD, Smith SL, Mitchell RB. Parotid sialocele in a
10-year-old girl. Ear Nose Throat J. 2007;86(1):27-8. 12- Dierks EJ, Granite EL. Parotid sialocele and fistula after
mandibular osteotomy. J Oral Surg. 1977;35(4):299-300 10-year-old girl. Ear Nose Throat J. 2007;86(1):27-8. 23- Pieterse AS, Seymour AE. Parotid cysts. An analysis of 16
cases and suggested classification. Pathology. 1981;13(2):225-34. 24- Rejali D, Simo R, Small M. Mucocele mimicking a Warthin's
tumour recurrence. J Laryngol Otol. 1998;112(11):1092-4. 25- Richardson GS, Clairmont AA, Erickson ER. Cystic lesions
of the parotid gland. Plast Reconstr Surg. 1978;61(3):364-70. 26- Seifert, G., Miehlke, A., Haubrich, J., Chilla, R. Diseases of the
salivary gland. Stuttgart: Georg Thieme Verlag; 1986. p. 171-80. 27- Tal H, Altini M, Lemmer J. Multiple mucous retention cysts of
the oral mucosa. Oral Surg Oral Med Oral Pathol. 1984;58(6):692-
5. 23- Pieterse AS, Seymour AE. Parotid cysts. 7- Canosa A, Cohen MA. Post-traumatic parotid sialocele: report
of two cases. J Oral Maxillofac Surg. 1999;57(6):742-5.
8- Cholankeril JV, Scioscia PA. Post-traumatic sialoceles and
mucoceles of the salivary glands. Clin Imaging. 1993;17(1):41-5.
9- Chow TL, Kwok SP. Use of botulinum toxin type A in a case of
persistent parotid sialocele. Hong Kong Med J. 2003;9(4):293-4.
10- Cohen MN, Rao U, Shedd DP. Benign cysts of the parotid gland.
J Surg Oncol. 1984;27(2):85-8.
11- Demetriades D, Rabinowitz B. Management of parotid
sialoceles: a simple surgical technique. Br J Surg. 1987;74(4):309.
12- Dierks EJ, Granite EL. Parotid sialocele and fistula after
mandibular osteotomy. J Oral Surg. 1977;35(4):299-300
13- Dolwick MF, Kretzschmar DP. Morbidity associated with the
preauricular and perimeatal approaches to the temporomandibular
joint. J Oral Maxillofac Surg. 1982;40(11):699-700.
14- Hemenway WG, Bergstrom L. Parotid duct fistula: a review.
South Med J. 1971;64(8):912-8.
15- Hutchison IL, Ryan D. A parotid fistula and sialocele
complicating temporomandibular joint surgery. Br J Oral Maxillofac
Surg. 1989;27(3):203-8.
16- Krausen AS, Ogura JH. Sialoceles: medical treatment
first. Trans Sect Otolaryngol Am Acad Ophtalmol Otolaryngol.
1977;84(5):ORL890-5.
17- Landau R, Stewart M. Conservative management of post-
traumatic parotid fistulae and sialoceles: a prospective study. Br
J Surg. 1985;72(1):42-4.
18- Langdon JD. Complications of parotid gland surgery. J
Maxillofac Surg. 1984;12(5):225-9. ARAUJO MR, CENTURION BS, ALBUQUERQUE DF, MARCHESANO LH, DAMANTE JH An analysis of 16
cases and suggested classification. Pathology. 1981;13(2):225-34. 13- Dolwick MF, Kretzschmar DP. Morbidity associated with the
preauricular and perimeatal approaches to the temporomandibular
joint. J Oral Maxillofac Surg. 1982;40(11):699-700. 14- Hemenway WG, Bergstrom L. Parotid duct fistula: a review. South Med J. 1971;64(8):912-8. 15- Hutchison IL, Ryan D. A parotid fistula and sialocele
complicating temporomandibular joint surgery. Br J Oral Maxillofac
Surg. 1989;27(3):203-8. 16- Krausen AS, Ogura JH. Sialoceles: medical treatment
first. Trans Sect Otolaryngol Am Acad Ophtalmol Otolaryngol. 1977;84(5):ORL890-5. 28- Vargas H, Galati LT, Parnes SM. A pilot study evaluating the
treatment of postparotidectomy sialoceles with botulinum toxin
type A. Arch Otolaryngol Head Neck Surg. 2000;126: 421-4. 29- Witt RL. The incidence and management of siaolocele after
parotidectomy. Otolaryngol Head Neck Surg. 2009;140(6):871-4. 17- Landau R, Stewart M. Conservative management of post-
traumatic parotid fistulae and sialoceles: a prospective study. Br
J Surg. 1985;72(1):42-4. 18- Langdon JD. Complications of parotid gland surgery. J
Maxillofac Surg. 1984;12(5):225-9. J Appl Oral Sci. 436
2010;18(4):432-6 J Appl Oral Sci. 436
2010;18(4):432-6 436
20 436 J Appl Oral Sci.
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Thermochromic phantom for therapeutic ultrasound daily quality assurance
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Journal of therapeutic ultrasound
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cc-by
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© 2015 Qureshi 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/4.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited. 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. Thermochromic phantom for therapeutic
ultrasound daily quality assurance Farhan Qureshi1*, Zachary Larrabee1, Chris Roth1, Arik Hananel1, Matt Eames1, David Moore1, John Snell1,
Neal Kassell1, Jean-Francois Aubry2 From Current and Future Applications of Focused Ultrasound 2014. 4th International Symposium
Washington, D.C, USA. 12-16 October 2014 Figure 1 Phantom after Sonication with HIFU Transducer Background/introduction Errors in power output ranging from −100% to +210%
have been reported in a multitude of physiotherapy
transducers.[1] Differences in power output can arise
even after careful calibration on an annual or bi-annual
schedule, which can either result in harm to the patient
or non-effective treatment. Therefore, easy implementa-
tion of daily quality assurance is of great importance. We propose a simple, easy to use DQA phantom which
allows the user to assess the power output of the
focused ultrasound transducer, and determine if it has
changed significantly after calibration. The basis of this
phantom is the use of a highly attenuating ultrasound
absorber with a surface layer of thermochromic liquid
crystals (TLC). The use of thermochromic materials as a
technique for use in ultrasound phantoms has been an
ongoing area of interest. Many of these techniques
require complicated set-ups, with large water tanks and
imaging systems to produce very accurate data.[2,3]
Simpler phantoms have been developed for use in
benchtop settings, but still with a large emphasis on
complicated image analysis.[4] Our proposed phantom
will be a product where the end-user can visually assess
the size of the lesion formed as a function of power out-
put, without resorting to complicated image analysis. Figure 1 Phantom after Sonication with HIFU Transducer a visual check as to whether or not the transducer’s
power output has changed. A Matlab code has been
developed to numerically solve the bio-heat equation in
finite differences time domain with a generation term
dependent on the induced pressure field. The code gener-
ates plots with a color map corresponding to the thermo-
chromic material’s color changing properties, and the
acoustic absorber’s acoustic attenuation and thermal diffu-
sivity properties. The attenuation coefficient of the mate-
rial, provided by Precision Acoustics Ltd, was 28.8 ±2.6
dB∙cm-1∙MHz-1. The thermal diffusivity was tested by
Decagon Devices, Inc. using the transient line heat source
method, and was determined to be 0.09 ±0.01 mm2/s. The
peak positive pressure is adjusted in the simulation so that
the lesion size generated by the simulation corresponds to
the actual lesion size measured after sonication, giving an
estimate of the pressure at focus. Qureshi et al. Journal of Therapeutic Ultrasound 2015, 3(Suppl 1):P72
http://www.jtultrasound.com/content/3/S1/P72 Qureshi et al. Journal of Therapeutic Ultrasound 2015, 3(Suppl 1):P72
http://www.jtultrasound.com/content/3/S1/P72 1Focused Ultrasound Foundation, Charlottesville, Virginia, United States
Full list of author information is available at the end of the article POSTER PRESENTATION Open Access Methods In the phantom, differences in lesion size due to differ-
ences in ambient temperature are revealed by visual
inspection. A simple temperature scale will correspond
to concentric circles of varying radii printed on the phan-
tom. The generated lesion size matches the radius of the
corresponding circle at each ambient temperature, giving 1Focused Ultrasound Foundation, Charlottesville, Virginia, United States
Full list of author information is available at the end of the article Page 2 of 2 Page 2 of 2 Qureshi et al. Journal of Therapeutic Ultrasound 2015, 3(Suppl 1):P72
http://www.jtultrasound.com/content/3/S1/P72 Qureshi et al. Journal of Therapeutic Ultrasound 2015, 3(Suppl 1):P72
http://www.jtultrasound.com/content/3/S1/P72 Figure 2 Simulated Temperature Elevation Figure 2 Simulated Temperature Elevation Acknowledgements (Funding)
Th
k
f
d d b
h
F Acknowledgements (Funding)
This work was funded by the Focused Ultrasound Foundation. Acknowledgements (Funding)
This work was funded by the Focused Ultrasound Foundation. Acknowledgements (Funding)
This work was funded by the Focused Ultrasound Foundation. References 1. Schabrun S, Walker H, et al: How Accurate are Therapeutic Ultrasound
Machines? Hong Kong Physiotherapy Journal 2008, 26:39-44. 2. Martin K, Fernandez R: A thermal beam-shape phantom for ultrasound
physiotherapy transducers. Ultrasound Med Biol 1997, 23(8):1267-1274. 3. Munoz A. Lopez Gerardo, Orozc A. Valentino Gerardo: Three Dimensional
Temperature Distribution Analysis of Ultrasound Therapy Equipments
Using Thermochromic Liquid Crystal Films, New Developments in Liquid
Crystals.Georgiy V Tkachenko 2009, ISBN: 978-953-307-015-5, InTech,
Available from: http://www.intechopen.com/books/new-developments-in-
liquid-crystals/three-dimensional-temperature-distribution-analysis-of-
ultrasound-therapy-equipments-using-thermochr. 4. Butterworth I, Barrie J, et al: Exploiting thermochromic materials for the
rapid quality assurance of physiotherapy ultrasound treatment heads. Ultrasound Med Biol 2012, 38(5):767-776. doi:10.1186/2050-5736-3-S1-P72
Cite this article as: Qureshi et al.: Thermochromic phantom for
therapeutic ultrasound daily quality assurance. Journal of Therapeutic
Ultrasound 2015 3(Suppl 1):P72. 1. Schabrun S, Walker H, et al: How Accurate are Therapeutic Ultrasound
Machines? Hong Kong Physiotherapy Journal 2008, 26:39-44. 2. Martin K, Fernandez R: A thermal beam-shape phantom for ultrasound
physiotherapy transducers. Ultrasound Med Biol 1997, 23(8):1267-1274. 3. Munoz A. Lopez Gerardo, Orozc A. Valentino Gerardo: Three Dimensional
Temperature Distribution Analysis of Ultrasound Therapy Equipments
Using Thermochromic Liquid Crystal Films, New Developments in Liquid
Crystals.Georgiy V Tkachenko 2009, ISBN: 978-953-307-015-5, InTech,
Available from: http://www.intechopen.com/books/new-developments-in-
liquid-crystals/three-dimensional-temperature-distribution-analysis-of-
ultrasound-therapy-equipments-using-thermochr. 4
Butterworth I Barrie J et al Exploiting thermochromic materials for the 1. Schabrun S, Walker H, et al: How Accurate are Therapeutic Ultrasound
Machines? Hong Kong Physiotherapy Journal 2008, 26:39-44. 2. Martin K, Fernandez R: A thermal beam-shape phantom for ultrasound
physiotherapy transducers. Ultrasound Med Biol 1997, 23(8):1267-1274. 3. Munoz A. Lopez Gerardo, Orozc A. Valentino Gerardo: Three Dimensional
Temperature Distribution Analysis of Ultrasound Therapy Equipments
Using Thermochromic Liquid Crystal Films, New Developments in Liquid
Crystals.Georgiy V Tkachenko 2009, ISBN: 978-953-307-015-5, InTech,
Available from: http://www.intechopen.com/books/new-developments-in-
liquid-crystals/three-dimensional-temperature-distribution-analysis-of-
ultrasound-therapy-equipments-using-thermochr. 4. Butterworth I, Barrie J, et al: Exploiting thermochromic materials for the
rapid quality assurance of physiotherapy ultrasound treatment heads. Ultrasound Med Biol 2012, 38(5):767-776. doi:10.1186/2050-5736-3-S1-P72
Cite this article as: Qureshi et al.: Thermochromic phantom for
therapeutic ultrasound daily quality assurance. Journal of Therapeutic
Ultrasound 2015 3(Suppl 1):P72. 1. Schabrun S, Walker H, et al: How Accurate are Therapeutic Ultrasound
Machines? Hong Kong Physiotherapy Journal 2008, 26:39-44. Results and conclusions A method for creating a simple DQA phantom has been
devised. The main goal of the phantom is to verify that the
output power of the transducer does not change compared
to initial calibration. The end user places the phantom in
their transducer system, and sonicates for a set power and
time. The power output of the transducer is then checked
visually using a system of concentric circles printed on the
phantom. This system is a cheap and effective way to pro-
duce DQA phantoms, both because of the ease of use, and
because the use of TLC makes visual changes in the phan-
tom reversible and reproducible over a long period of time. Authors’ details
1 1Focused Ultrasound Foundation, Charlottesville, Virginia, United States. 2Institut Langevin, Paris, France. Published: 30 June 2015 References Submit your next manuscript to BioMed Central
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Submit your manuscript at
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and take full advantage of: Submit your next manuscript to BioMed Central
and take full advantage of: • Convenient online submission y
4. Butterworth I, Barrie J, et al: Exploiting thermochromic materials for the
rapid quality assurance of physiotherapy ultrasound treatment heads. Ultrasound Med Biol 2012, 38(5):767-776. doi:10.1186/2050-5736-3-S1-P72
Cite this article as: Qureshi et al.: Thermochromic phantom for
therapeutic ultrasound daily quality assurance. Journal of Therapeutic
Ultrasound 2015 3(Suppl 1):P72. doi:10.1186/2050-5736-3-S1-P72
Cite this article as: Qureshi et al.: Thermochromic phantom for
therapeutic ultrasound daily quality assurance. Journal of Therapeutic
Ultrasound 2015 3(Suppl 1):P72.
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Designing and validating an autoverification system of biochemical test results in Hatay Mustafa Kemal University, clinical laboratory
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Biochemia medica
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cc-by
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Abstract Introduction: Autoverification (AV) is a postanalytical tool that uses algorithms to validate test results according to specified criteria. The Clinical
and Laboratory Standard Institute (CLSI) document for AV of clinical laboratory test result (AUTO-10A) includes recommendations for laboratories
needing guidance on implementation of AV algorithms. The aim was to design and validate the AV algorithm for biochemical tests. Materials and methods: Criteria were defined according to AUTO-10A. Three different approaches for algorithm were used as result limit checks,
which are reference range, reference range ± total allowable error, and 2nd and 98th percentile values. To validate the algorithm, 720 cases in
middleware were tested. For actual cases, 3,188,095 results and 194,520 reports in laboratory information system (LIS) were evaluated using the AV
system. Cohen’s kappa (κ) was calculated to determine the degree of agreement between seven independent reviewers and the AV system. Results: The AV passing rate was found between 77% and 85%. The highest rates of AV were in alanine transaminase (ALT), direct bilirubin (DBIL),
and magnesium (Mg), which all had AV rates exceeding 85%. The most common reason for non-validated results was the result limit check (41%). A total of 328 reports evaluated by reviewers were compared to AV system. The statistical analysis resulted in a κ value between 0.39 and 0.63 (P <
0.001) and an agreement rate between 79% and 88%. Conclusions: Our improved model can help laboratories design, build, and validate AV systems and be used as starting point for different test gro-
ups. Keywords: automation; biochemistry; laboratory organization and management; validation/evaluation Keywords: automation; biochemistry; laboratory organization and management; validation/evaluation Submitted: February 07, 2022 Accepted: June 24, 2022 Designing and validating an autoverification system of biochemical test results
in Hatay Mustafa Kemal University, clinical laboratory
Bahar Ünlü Gül1, Oğuzhan Özcan2, Serdar Doğan2, Abdullah Arpaci*2 1Department of Medical Biochemistry, Kars Harakani Public Hospital, Kars, Turkey
2Department of Medical Biochemistry, Hatay Mustafa Kemal University, Hatay, Turkey 1Department of Medical Biochemistry, Kars Harakani Public Hospital, Kars, Turkey
2Department of Medical Biochemistry, Hatay Mustafa Kemal University, Hatay, Turkey *Corresponding author: abdullaharpaci@mku.edu.tr 1
©Copyright by Croatian Society of Medical Biochemistry and Laboratory Medicine. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creative-
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the material, provided the original work is properly cited and any changes properly indicated. Biochem Med (Zagreb) 2022;32(3):030704 https://doi.org/10.11613/BM.2022.030704 Introduction The result verification process, which is the most
important control step of the postanalytical phase,
can be performed in two ways which are manually
or by using autoverification (AV) systems. The re-
sults are evaluated by the laboratory technician
and then by the clinical biochemist (2). The appro-
priate results are verified and sent to the relevant
clinic via the laboratory information system (LIS). Corrective actions are initiated for the discordant
results. These actions are carried out in three phas- Clinical laboratories are centres where millions of
tests are analysed that guide the diagnosis and
treatment of patients. The workload of clinical lab-
oratories is increasing day by day because of the
expansion of test panels, increasing numbers of
samples analysed, high-quality expectations, and
aiming to report test results in a shorter time. This
increased workload causes clinical biochemists to
allocate a large part of their working hours for the
manual verification of test results (1). https://doi.org/10.11613/BM.2022.030704 Designing and validating an autoverification system of biochemical test results Ünlü Gül B. et al. es preanalytical, analytical, and postanalytical ac-
cording to the type of laboratory errors. Common
preanalytical errors include haemolysed sample,
clotted sample, inadequate volume, wrong sam-
ple tube, and incorrect identification. At the ana-
lytical phase, quality control (QC) or calibration
failure, interference, and sample mix-ups errors
can occur. Some postanalytical errors include de-
lay in reporting, incorrect calculation, and critical
results being delayed or not reported. The evalua-
tion of each parameter at laboratory phases can
be quite time-consuming for laboratories where
the number of experts is insufficient compared to
the number of tests that are ordered. Additionally,
the evaluation process is subjective because it de-
pends on the personnel and does not include a
standardisation. There is a need for AV systems
that use multiple algorithms in accordance with
the developing technology for allowing effective
time management, preventing possible laboratory
errors, and providing more consistent test results
(3,4). and validate specific AV rules for laboratory tests
(6). However, it is recommended that each labora-
tory create the cut-off values required for autoveri-
fying test results according to the needs of its pa-
tient population (3). Autoverification algorithms
use various criteria to determine the reportability
of test results. These criteria include instrument
flags, QC checks, moving averages, serum indices,
critical values, delta checks, and analytical meas-
urement ranges (AMRs). Materials and methods Design of AV algorithm Introduction Those algorithms can also
examine patient or sample information from elec-
tronic medical records, times of sampling, and de-
mographic information including age, sex, diag-
nosis, and inpatient/outpatient status (8). Although the AUTO 10-A guidelines have been
around for nearly 15 years, there remains a lack of
standardisation, especially regarding algorithms,
validation rules, and verification limits. In recent
years, there has been an increasing body of litera-
ture on AV, but still, there is a limited number of
studies on this topic in Turkey. In this respect, this
study aims to contribute to the understanding of
the AV process, provide well-designed AV rules
that can be used in clinical laboratories, rapid and
accurate verification of test results without human
intervention, and raise work efficiency. It is the first
time that we developed multi-rule algorithms for
the verification of biochemical tests in Hatay
Mustafa Kemal University (HMKU), Central Labora-
tory. We presented a detailed description of how
to design an AV system that can be used as a start-
ing point and for applying detailed system valida-
tion process. Indeed, our study, which was per-
formed at a large district hospital with around
1700 inpatients and 24,000 outpatients treated per
month, provides a new approach to the recent lit-
erature with respect to designing algorithms to
detect pre-analytical errors through consistency
checks. Autoverification is a postanalytical process by
which laboratory test results are released without
manual intervention or review. Autoverification,
which is an application of artificial intelligence for
clinical laboratories, is thought to be an alternative
to manual validation of test results (4). The first al-
gorithm describing the use of computers to assist
laboratory test validation was published over 50
years ago by Lindberg on the identification of
“critical” results (5). This research is aimed at the
evaluation of correlated analyses (e.g., urea and
creatinine (CREA)) with consistency checks and
delta checks when test results exceed the defined
limits. Currently, AV ensures a well-designed set of
rules, and more specific algorithms have been de-
veloped (2,6,7). Approved guidelines include important recom-
mendations for laboratories needing guidance on
the implementation of AV algorithms. The Auto-
verification of Clinical Laboratory Test Results: Ap-
proved Guidelines (AUTO 10-A and AUTO-15) were
issued by the Clinical Laboratory Standards Insti-
tute (CLSI) in 2006 and 2019, respectively (3,4). These guidelines provide a basic template to allow
each clinical core laboratory to build, implement, Biochem Med (Zagreb) 2022;32(3):030704 Validation of AV ing System, Arbe Software Trading Company Ltd.)
platform which was the middleware system. The
middleware was used to provide the connection
between the biochemistry autoanalysers and LIS. This electronic connection can process the prean-
alytical, analytical, and postanalytical data sent
from the autoanalysers within the scope of the de-
signed AV rules and send them to LIS. Additionally,
the definition of AV algorithms and the creation of
simulator patient data were completed through
the middleware. It should be validated that the developed algo-
rithm follows the expected logic and produces the
expected results. The validation of the AV system
was performed in two phases. In the first phase, all
algorithm criteria were applied to the 720 simulat-
ed results to follow the logic of the algorithm and
verify the performance of the algorithm. The simu-
lated results were created to include all algorithm
decision rules for each biochemical test. In the sec-
ond phase, the validation of the algorithm was
performed using actual test results according to
the AUTO-10A guideline (3). In this phase, 194,520
patient reports and 2,025,948 test results, which
were previously assayed in our laboratory were
collected from July 2019 to May 2020. We con-
firmed that the algorithms followed the expected
logic, and data were recorded on the middleware
after checking the correctness of the calculations. While designing the AV algorithms, the evaluation
criteria recommended in the approved guidelines
were defined, and the master algorithm template
was created (Figure 1). The corrective actions that
were cause-specific for the laboratory tests that
did not pass any algorithm rule are also given in
Figure 1. Figure 1. Master algorithm template for biochemical tests. QC – quality control. AMR – analytical measurement range. EDTA – ethylenediaminetetraacetic acid. LIS – laboratory information sys-
tem. AV – autoverification. Is result a
repeated
test? No
No
No
No
No
Yes
Yes
Yes
Yes
Yes
Fail
Fail
Fail
Fail
Fail
Fail
Fail
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
*Result below or
above analitical
measurement
range? *Critical
value
control
*Interference
indices
check? Are there
any previous
results? *Consistency
checks? *Delta check
control? *Result limit
check? All tests
completed? Autoverification
*Is result a
numeric value
*Moving average
control
*Instrument
error flag? Design of AV algorithm The AV process was carried out on ADVIA 1800 au-
toanalysers (Siemens Diagnostics, New York, USA)
through the LIOS (Laboratory Information Operat- https://doi.org/10.11613/BM.2022.030704 Biochem Med (Zagreb) 2022;32(3):030704 2 Designing and validating an autoverification system of biochemical test results Ünlü Gül B. et al. Criteria for algorithm Delta check: Delta check is performed to compare
the present result for a patient to previous results
and evaluate the probability of significant change. Delta check has been performed in previous stud-
ies using various methods such as delta difference,
delta percent change, rate difference, and rate
percent difference (12). Internal QC and calibration: Internal QC is routinely
performed in our laboratory and transferred from
the autoanalyser to the middleware according to
the Westgard QC multi-rules (9). If there are no QC
results within 24 hours or if any QC rule is violated,
the middleware stops the AV for all samples. Cali-
bration periods and the last calibration dates of all
tests were defined in the middleware calibration
screen. In this study, we chose the rate percent difference,
which was calculated as the present value sub-
tracted from the previous value then divided by
the previous value, followed by dividing the re-
sults by the time interval. We chose a time interval
as three months based on discussions with physi-
cians at the Department of Medical Biochemistry. We used the reference change value (RCV), ex-
pressed as a percentage or absolute value which is
a common systematic approach in the determina-
tion of delta thresholds (9). Instrument error codes (Flags): If any instrument
flag is sent from the autoanalyser, the results are
held for later manual verification. Moving average: We used the ‘moving average’
method as an additional QC method to help pro-
vide the quality of the results. The moving averag-
es involving the collection of over the last 20 pa-
tient results are analysed. Using these results, a
mean value is defined, a warning limit which is
mean ± 2 standard deviation (SD) is calculated,
and then, a warning message is sent to the user
via SMS (Short Message Service) (6,10). Rate
percent
difference
Present result-Previous result x 100
Previous result
Time interval
= Equation (Eq.) 1. Analytical measurement range (AMR): We used
the AMRs recommended by the manufacturer for
the autoanalyser (Siemens Diagnostics, New York,
USA). If any results were outside the range of the
AMR, a warning message was generated, and sam-
ple dilution was performed automatically or man-
ually. Result limit checks: Result limit checks are used to
specify if the result exceeds predetermined thresh-
olds. Validation of AV *Quality
control check
Starting step to
AV
Send results
to LIS
Manual
verification
*Hold for manual review and corrective actions
• QC check: Investigate and corrective action (e.g., QC material, instrument error
logs, assay methods, reagent)
• Instrument error flags: Investigate and corrective action (e.g., sample switching,
wrong sample aliquoted/pipetted, inadequate volume, environment status)
• Moving average control: Investigate and corrective action (e.g., patient data
control, QC control, etc.)
• Abnormal result: Investigate and corrective action (dilution, re-run etc.)
• Repeated test: Investigate and corrective action
• Result below AMR: Rules dictate how result should be reported (e.g., “< 3” or “0”)
• Result above AMR: Manual or automated dilution
• Critical results: Call clinician
• Indices check: Inspect sample (result-comment/recollect)
• Delta check: Investigate cause with corrective action
• Result limit check: Investigate cause with corrective action
• Consistency check: Corrective action depending on likely cause (e.g., EDTA or
citrate contamination, delayed sample, slottes sample etc.) Figure 1. Master algorithm template for biochemical tests. QC – quality control. AMR – analytical measurement range. EDTA – ethylenediaminetetraacetic acid. LIS – laboratory information sys-
tem. AV – autoverification. Figure 1. Master algorithm template for biochemical tests. QC – quality control. AMR – analytical measurement range. EDTA – ethylenediaminetetraacetic acid. LIS – laboratory information sys-
tem. AV – autoverification. QC – quality control. AMR – analytical measurement range. EDTA – ethylenediaminetetraacetic acid. LIS –
tem. AV – autoverification. Biochem Med (Zagreb) 2022;32(3):030704 Biochem Med (Zagreb) 2022;32(3):030704 https://doi.org/10.11613/BM.2022.030704 https://doi.org/10.11613/BM.2022.030704 3 Designing and validating an autoverification system of biochemical test results Ünlü Gül B. et al. Biochem Med (Zagreb) 2022;32(3):030704 Criteria for algorithm Three different limits were used to determine
the thresholds as reference range, reference range
± total allowable error (TEa), and 2nd and 98th
percentile values (8,13). Reference ranges were
provided by the manufacturer, and we used them
for each test according to the relevant reagent
procedures. Total allowable error values that were
taken from the College of American Pathologists
(CAP) database were used for each test to deter-
mine reference range ± TEa values (14). For each
test from the historical data of 2019, 2nd and 98th
percentile values were calculated, and outliers
were excluded by using box-blot analyses. Critical Values: We used the critical values recom-
mended by the General Directorate of Health Ser-
vices, Department of Investigation, and Diagnostic
Services (Ankara, Turkey) (11). If any results exceed-
ed the range of the critical value, they were manu-
ally verified by a laboratory technician, and a
phone call was immediately made to clinicians. Serum Indices: The haemolysis, icterus and lipae-
mia (HIL) interferences were detected using multi-
ple spectrophotometric readings by the biochem-
istry analyser in the serum specimen for the spe-
cific tests. If analytes like potassium (K), aspartate
aminotransaminase (AST), and lactate dehydroge-
nase (LDH) were higher in the haemolytic samples
that required examination by a technician, these
results were held for manual verification. Consistency checks: Consistency rule checks are
cross-checks established based on two or more
different correlated tests. The cross-checks includ-
ed in the algorithm in the last control step are giv-
en in Table 1. https://doi.org/10.11613/BM.2022.030704 Biochem Med (Zagreb) 2022;32(3):030704 4 Designing and validating an autoverification system of biochemical test results Ünlü Gül B. et al. Criteria for algorithm Citrate contamination
Calcium decreased by 50%
Sodium increased by 5 mmol/L
Chloride decreased by 10 mmol/L
Clotted sample
Sodium < 136 mmol/L
Potassium < 3.5 mmol/L
Calcium < 8.4 mmol/L
Glucose < 3.9 mmol/L
Ethylenediaminetetraacetic acid (EDTA) contamination
Potassium > 7 mmol/L and calcium < 8 mmol/L,
or ALP < 50 U/L, or magnesium < 2 mmol/L
Delayed sample
Glucose < 2.2 mmol/L
Potassium > 6 mmol/L
Haemolysis < 50 mg/dL
Discordant results
ALT/AST ratio < 0.25 or > 4
Albumin / Total Protein ratio < 0.25 or > 1
Direct Bilirubin / Total Bilirubin ratio > 1
HDL cholesterol / Total Cholesterol ratio > 0.75
Intravenous glucose contamination
Sodium < 136
Chloride < 98
Potassium > 5
Glucose > 6.1
Intravenous saline contamination
Increased chloride
normal sodium,
low or critical low potassium
Monoclonal protein interference
High lipemia index (> +2) with low/normal triglyceride
Glomerular filtration rate
It is evaluated together with the creatinine test
Indirect bilirubin
It is evaluated together with direct bilirubin and total bilirubin
ALP – alkaline phosphatase. ALT – alanine aminotransaminase. AST – aspartate aminotransaminase. HDL cholesterol – high density
lipoprotein cholesterol. Table 1. Consistency rule checks Table 1. Consistency rule checks The study was carried out with the approval of the
HMKU Ethics Committee, with protocol numbered
2019/91, and resolution numbered 03. This study
was supported financially by the HMKU Scientific
Research Projects (BAP; project number: 19.U.016)
Unit, for which we are thankful. Comparison of manual review to AV Patient reports, which were randomly selected by
the middleware to compare manual review and AV
results, were manually verified by seven expert re-
viewers. The number of the autoverified reports
was 255 out of a total of 328 test reports, and 73
test reports were manually verified. The seven ex-
perts who performed the manual verification of
the patient reports consisted of two medical bio-
chemists, two medical biochemistry research as-
sistant doctors, and three laboratory technicians
with a wide range of professional knowledge. Us-
ing the obtained data, the AV and manual review
results were compared statistically, and their
agreement rate was evaluated. The AV system in-
cluded 30 biochemical tests analysed in the Cen-
tral Laboratory and most frequently ordered by
clinicians (Table 2). Statistical analysis All data of the study were analysed using the IBM
SPSS Statistics software, Version 21.0, (SPSS Inc.,
New York, USA). P < 0.05 was considered signifi-
cant. The categorical variables are expressed as
counts and percentages. Second and 98th percen-
tile values were calculated for each test from the
historical data of 2019, and outlier values were
eliminated by using box-blot analyses. Our results
were statistically analysed according to three dif-
ferent result limit checks which were reference Biochem Med (Zagreb) 2022;32(3):030704 https://doi.org/10.11613/BM.2022.030704 5 Designing and validating an autoverification system of biochemical test results Ünlü Gül B. et al. Table 2. Gray – indicate the highest passing rates for biochemical tests based on different result limit checks. TEa – total allowable error.
AV – autoverification. Alb – albumin. ALP – alkaline phosphatase. ALT – alanine aminotransaminase. AMY – amylase. AST –
aspartate aminotransaminase. BUN – blood Urea Nitrogen. CK – creatine kinase. CK-MB – creatine, direct kinase isoenzyme MB.
DBIL – direct bilirubin. Fe – iron. Phos – inorganic phosphate. GGT – gamma-glutamyltransferase. Glc – glucose. HDL – high
density lipoprotein cholesterol. Ca – calcium. Cl – chloride. CHOL – cholesterol. CREA – creatinine. LDH – lactate dehydrogenase.
LDL – low density lipoprotein cholesterol. Lip – lipase. Mg – magnesium. K – potassium. Na – sodium. TBIL – total bilirubin. TP –
total Protein. TRSF – transferrine. TG – triglyceride. UIBC – unsaturated Iron-Binding Capacity. UA – uric acid. Statistical analysis Autoverification passing rates for all biochemical tests Biochemical
parameters
Units
Reference range
Reference range ± %TEa
2nd and 98th percentile
Number of
tests
Autoverify
%
Stop AV
%
Autoverify
%
Stop AV
%
Autoverify
%
Stop AV
%
Alb
g/L
83
17
89
11
93
7
90,541
ALP
U/L
81
19
87
13
89
11
63,217
ALT
U/L
88
12
92
9
92
8
166,761
AMY
U/L
85
15
90
10
92
8
40,663
AST
U/L
83
17
87
13
91
10
142,545
BUN
mmol/L
81
19
84
16
87
14
148,408
CK
U/L
85
15
88
12
89
12
15,722
CK-MB
U/L
59
41
69
31
89
11
5379
DBIL
µmol/L
87
13
90
10
90
10
62,760
Fe
µmol/L
52
48
54
46
90
11
19,902
Phos
mmol/L
84
16
88
12
89
12
43,134
GGT
U/L
74
26
80
20
87
13
58,915
Glc
mmol/L
66
34
74
26
85
15
147,452
HDL
mmol/L
56
44
85
15
88
12
11,852
Ca
mmol/L
82
18
90
10
90
10
98,106
Cl
mmol/L
79
21
87
13
87
13
60,847
CHOL
mmol/L
68
32
80
20
91
9
11,672
CREA
µmol/L
65
35
79
21
79
21
173,905
LDH
U/L
71
29
80
20
91
7
57,363
LDL
mmol/L
42
57
63
37
93
7
12,691
Lip
U/L
84
16
88
12
90
10
37,945
Mg
mmol/L
87
13
87
13
87
13
47,594
K
mmol/L
64
36
68
32
68
32
140,852
Na
mmol/L
83
17
89
11
90
11
144,863
TBIL
µmol/L
84
16
85
15
89
12
63,069
TP
g/L
70
30
75
25
77
23
54,860
TRSF
g/L
23
77
37
63
89
12
130
TG
mmol/L
65
35
77
23
90
10
21,004
UIBC
µmol/L
55
45
78
22
90
10
19,544
UA
mmol/L
81
19
87
13
90
10
64,252
Total
2,025,948
Table 2. Autoverification passing rates for all biochemical tests Gray – indicate the highest passing rates for biochemical tests based on different result limit checks. TEa – total allowable error. AV – autoverification. Alb – albumin. ALP – alkaline phosphatase. ALT – alanine aminotransaminase. AMY – amylase. AST –
aspartate aminotransaminase. BUN – blood Urea Nitrogen. CK – creatine kinase. CK-MB – creatine, direct kinase isoenzyme MB. DBIL – direct bilirubin. Fe – iron. Phos – inorganic phosphate. GGT – gamma-glutamyltransferase. Glc – glucose. HDL – high
density lipoprotein cholesterol. Statistical analysis Ca – calcium. Cl – chloride. CHOL – cholesterol. CREA – creatinine. LDH – lactate dehydrogenase. LDL – low density lipoprotein cholesterol. Lip – lipase. Mg – magnesium. K – potassium. Na – sodium. TBIL – total bilirubin. TP –
total Protein. TRSF – transferrine. TG – triglyceride. UIBC – unsaturated Iron-Binding Capacity. UA – uric acid. Biochem Med (Zagreb) 2022;32(3):030704 https://doi.org/10.11613/BM.2022.030704 6 Designing and validating an autoverification system of biochemical test results Ünlü Gül B. et al. range, reference range ± TEa, and 2nd and 98th
percentile values. Cohen’s κ value was calculated
to determine the degree of agreement between
seven independent reviewers’ assessments and
the AV system. The κ coefficient ranges from - 1 to
+ 1. A κ value of + 1 indicates the highest agree-
ment, while a κ value of - 1 indicates the highest
disagreement between the users (15). Using the 2nd and 98th percentiles as a limit range
increased the AV pass rates for TRSF, LDL, and Fe
by 65%, 51%, and 37%, respectively, and these
were also the tests that showed the highest in-
crease in their AV pass rates. In the AV process, the most common reasons for
manually verified test results are given in Figure 3. A total of 2,025,948 tests were included, of which
83% (1,672,430) were autoverified when the refer-
ence range ± TEa criterion was used as the limit
range (Figure 2). Result limit check was observed
to be the most common reason for stopping AV
(41%) (Figure 3). Result limit checks, which were
the most common reason for non-validated re-
sults, were the same for all three different decision
limits, and the most common reasons were result
limit checks, moving averages, and serum indices,
respectively. Results The test-based AV rate for all biochemical tests
was 85% over a period of one year when the 2nd
and 98th percentile values were used as result lim-
it checks. When the reference ranges were used,
the AV pass rate was found to be the lowest at 77%
(Figure 2). The test-based AV pass rate according to three dif-
ferent limit ranges are detailed in Table 2. The
highest rates of AV were found for the alanine ami-
notransaminase (ALT), direct bilirubin (DBIL), and
magnesium (Mg) parameters, which all had AV
rates exceeding 85%. The least validated tests
were transferrin (TRSF), low-density lipoprotein
cholesterol (LDL), and iron (Fe) according to the
reference range, and the AV pass rates of these pa-
rameters were 23%, 42%, and 52%, respectively. A total of 328 actual patient reports were included,
of which 255 (78%) were autoverified, and 73 (22%)
were manually verified, according to the reference
range ± TEa criterion. The degree of agreement
between the users and the middleware was ana-
lysed using the κ statistic, and the results are given
in Table 3. Accordingly, the statistical analysis re-
sulted in a κ value between 0.39 and 0.63 (from
minimal to moderate agreement, P < 0.001). The https://doi.org/10.11613/BM.2022.030704
Biochem Med (Zagreb) 2022;32(3):030704
7
Figure 2. Autoverification passing rate on test-based according
to different verify limits. Validated – It refers to the percentage of tests that were passed
according to the algorithm criteria in Figure 1. Rejected – It re-
fers to the percentage of tests that were not passed at least one
of the algorithm criteria in Figure 1. TEa – total allowable error. Figure 3. Cause analysis of manually verified test results. The reference range ± TEa was used as the decision limit. TEa –
total allowable error. Results Reference
range ± TEa
Reference
range
Total number
of tests
2,000,000
1,750,000
1,500,000
1,250,000
1,000,000
750,000
500,000
250,000
0
77%
83%
85%
23%
18%
15%
Validated
Rejected
1,562,304
463,644
1,672,430
353,518
1,722,725
303,223
2nd and 98th
percentile
100
90
80
70
60
50
40
30
20
10
0
41%
28%
18%
9%
2%
%
1.8%
0.09%
Result limit check
Moving average
Interference indices
Delta check
Critical value
Repeat testing
Analytical measurement range Reference
range ± TEa
Reference
range
Total number
of tests
2,000,000
1,750,000
1,500,000
1,250,000
1,000,000
750,000
500,000
250,000
0
77%
83%
85%
23%
18%
15%
Validated
Rejected
1,562,304
463,644
1,672,430
353,518
1,722,725
303,223
2nd and 98th
percentile
100
90
80
70
60
50
40
30
20
10
0
41%
28%
18%
9%
2%
%
1.8%
0.09%
Result limit check
Moving average
Interference indices
Delta check
Critical value
Repeat testing
Analytical measurement range Figure 3. Cause analysis of manually verified test results. The reference range ± TEa was used as the decision limit. TEa –
total allowable error. Figure 2. Autoverification passing rate on test-based according
to different verify limits. Figure 2. Autoverification passing rate on test-based according
to different verify limits. Validated – It refers to the percentage of tests that were passed
according to the algorithm criteria in Figure 1. Rejected – It re-
fers to the percentage of tests that were not passed at least one
of the algorithm criteria in Figure 1. TEa – total allowable error. Validated – It refers to the percentage of tests that were passed
according to the algorithm criteria in Figure 1. Rejected – It re-
fers to the percentage of tests that were not passed at least one
of the algorithm criteria in Figure 1. TEa – total allowable error. Biochem Med (Zagreb) 2022;32(3):030704 https://doi.org/10.11613/BM.2022.030704 Designing and validating an autoverification system of biochemical test results Ünlü Gül B. et al. Results Reviewers
Autoverification Rules
(LIOS)
Agreement
Sensitivity
Specificity
κ value
Kappa approximate
significance
V
R
Reviewer 1
V
243*
27§
88
90
79
0.63
P < 0.001
R
12‡
46†
Reviewer 2
V
249*
42§
85
86
84
0.49
P < 0.001
R
6‡
31†
Reviewer 3
V
234*
26§
86
90
69
0.58
P < 0.001
R
21‡
47†
Reviewer 4
V
234*
31§
84
88
67
0.52
P < 0.001
R
21‡
42†
Reviewer 5
V
210*
23§
79
90
53
0.46
P < 0.001
R
45‡
50†
Reviewer 6
V
240*
43§
82
85
67
0.41
P < 0.001
R
15‡
30†
Reviewer 7
V
247*
48§
83
84
76
0.39
P < 0.001
R
8‡
25†
*True positive. †True negative. ‡False positive. §False negative. Agreement – True Positive + (True Negative / Total number) x 100. Sensitivity – True Positive / (True Positive + False Negative) x 100. Specificity – True Negative / (True Negative + False Positive) x 100. κ value – 0-0.20 none; 0.21-0.39 minimal; 0.40-0.59 weak; 0.60-0.79 moderate; 0.80-0.90 strong; > 0.90 almost perfect (16). P < 0.001
– Highly statistically significant degree of agreement. V – validated. R – rejected. LIOS – laboratory information operating system. Table 3. Degree of agreement between the LIOS and each expert reviewer Table 3. Degree of agreement between the LIOS and each expert reviewer *True positive. †True negative. ‡False positive. §False negative. Agreement – True Positive + (True Negative / Total number) x 100. Sensitivity – True Positive / (True Positive + False Negative) x 100. Specificity – True Negative / (True Negative + False Positive) x 100. κ value – 0-0.20 none; 0.21-0.39 minimal; 0.40-0.59 weak; 0.60-0.79 moderate; 0.80-0.90 strong; > 0.90 almost perfect (16). P < 0.001
– Highly statistically significant degree of agreement. V – validated. R – rejected. LIOS – laboratory information operating system. It is necessary to design AV rules for laboratories
like our facility where approximately 1100 samples
are analysed for routine biochemical tests. Bio-
chemical tests constitute a large part of the ana-
lysed patient samples. When a large number of re-
sults in the queue are examined, fatigue can de-
velop, and this is admittedly a potential risk factor
for laboratory errors (13). Results In this regard, in our
study, we developed algorithms to detect and
minimise common pre-analytical errors including
ethylenediaminetetraacetic acid (EDTA) or citrate
contamination, clotted sample, and delayed sam-
ple through consistency rule checks (Table 1). In
previous research, it has been reported that the
most commonly used criteria in AV algorithms are
AMRs, critical values, instrument error codes, se-
rum indices, and delta check values (18,19). In our
study, we also included moving averages, refer-
ence ranges, result limit checks, and consistency
checks in the AV rules to create a more specific
multi-rule algorithm (Figure 1). Therefore, the find-
ings of this study suggested that test results were strongest agreement between user 1 and the mid-
dleware was found to be a statistically significant
and moderate agreement (κ = 0.63; P < 0.001). Biochem Med (Zagreb) 2022;32(3):030704 Discussion Autoverification is a powerful tool that uses rule-
based systems to evaluate and validate test results
without manual intervention. Currently, laborato-
ries use AV in different groups of tests, including
routine tests which are biochemistry, immunoas-
says, haematology, coagulation, blood gas, and
urinalysis (16). It has apparent benefits in improv-
ing test quality, reducing error rates, decreasing
turnaround time, and enhancing the efficiency of
laboratory verification. In contrast, manual verifi-
cation is a time-consuming activity with inherent
subjectivity, and thereby, it cannot provide suffi-
ciently accurate verification of test results (17). To
overcome these limitations, we designed and im-
plemented a middleware-based multi-rule system
for AV in biochemical tests (Figure 1). https://doi.org/10.11613/BM.2022.030704 Biochem Med (Zagreb) 2022;32(3):030704 8 Designing and validating an autoverification system of biochemical test results Ünlü Gül B. et al. reviewed in more detail with a multi-rule algo-
rithm. study by Gruenberg et al. revealed a higher AV
passing rate, greater than 90%, using a ± 60% del-
ta check for 23,410 CREA results (25). In a previous
study in which delta check limits were evaluated
as < 20%, AV rates between 50% and 75% were
obtained. Understandably, the AV passing rates re-
ported in multiple studies have shown differences
(7,26,27). These differences were probably due to
using different result limit checks and delta check
limits and developments in AV rules over time. The AV system in this study was designed accord-
ing to three different decision limits that have
been recommended in the literature (6,13,20). The
AV passing rate was found between 77% and 85%
based on the algorithms we developed. The high-
est AV passing rate was in the parameters of ALT,
DBIL, and Mg, which all had rates exceeding 85%. Torke et al. used the midpoint between the medi-
an of the reference range and AMR as a limit range,
and the AV passing rate they found increased to
62% (19). Our passing rates were higher than their
system, at a verification rate of approximately 77%. A higher percentage of test results (83%) was au-
toverified based on the reference range ± TEa cri-
terion. Previous studies have shown that by using
the reference range ± TEa criterion, the AV passing
rate varies between 73% and 85% (8, 20). A study
conducted by Shih et al. Discussion concluded that the rate of
AV was 92% for 25,526 patient reports and 42 bio-
chemical tests using the 2nd and 98th percentiles
of cumulative patient data (21). We found that the
AV rate obtained using historical patient data was
lower (85%). These differences could be explained
by differences in the limit ranges, the groups of
tests that are studied, and the laboratory equip-
ment that is used. Additionally, critical values and
AMRs were not autoverified but held for later
manual verification in our study. The least validat-
ed tests were TRFS, LDL, and Fe when the refer-
ence range criterion was used. One reason for this
could be that the Fe test shows higher diurnal vari-
ation than the other tests (22). The reason for the
variability in the LDL test was thought to be the
differences in genetics and dietary habits in the
population in which the study was conducted. The
dramatic increase in the passing rate of the trans-
ferrin test was probably related to the lower num-
ber of test orders compared to other tests. l
d
h
d d h
f d l In the AV process, one of the important issues is
the cause analysis of manually verified test results. In our study, the most common reasons for non-
validated results were result limit checks, moving
averages, and serum indices, respectively. Rimac et
al. reported that among 31 different biochemical
tests, the least common reason for non-validated
results was the critical value (2%) (27). Similarly, the
same rate of critical value was 2% in our study, and
this result was consistent with data reported in the
literature. The degree of agreement between AV and the
seven expert reviewers’ assessments was found
significant (agreement rates between 79% and
88%, P < 0.001), which pointed out that our system
was valid (Table 3). Mohy-Sediq et al. compared AV
system results to results provided by 4 reviewers,
and the agreement rates were between 73% and
77%, which were lower than those in our study
(28). The validation of AV rules is crucial in ensuring
that the AV system operates as intended and re-
quires high attention to detail. Additionally, there
is a need for developing middleware that allows
well-designed algorithms and validation (29). This study had some limitations. References net]. 2020 Sept. [Cited 2021 Jul 9]. Available from: https://
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Autoverification of Medical Laboratory Results for Specific
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2019. 15. McHugh ML. Interrater reliability: the kappa statistic. Bi-
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Med
(Zagreb). 2012;22:276-82. https://doi. org/10.11613/BM.2012.031 16. Topcu DI, Gulbahar O. A model to establish autoverificati-
on in the clinical laboratory. Clin Biochem. 2021;93:90-8. https://doi.org/10.1016/j.clinbiochem.2021.03.018 5. Lindberg DA. Collection, evaluation, and transmission of
hospital laboratory data. Methods Inf Med. 1967;6:97-107. https://doi.org/10.1055/s-0038-1636364 17. Jin D, Wang Q, Peng D, Wang J, Li B, Cheng Y, et al. Deve-
lopment and implementation of an LIS-based validation
system for autoverification toward zero defects in the auto-
mated reporting of laboratory test results. BMC Med Inform
Decis Mak. 2021;21:174. https://doi.org/10.1186/s12911-
021-01545-3 6. Li J, Cheng B, Ouyang H, Xiao T, Hu J, Cai Y. Designing and
evaluating autoverification rules for thyroid function profi-
les and sex hormone tests. Ann Clin Biochem. 2018;55:254-
63. https://doi.org/10.1177/0004563217712291 7. Wu J, Pan M, Ouyang H, Yang Z, Zhang Q, Cai Y. Establis-
hing and evaluating autoverification rules with intelli-
gent guidelines for arterial blood gas analysis in a clini-
cal laboratory. SLAS Technol. 2018;23:631-40. https://doi. org/10.1177/2472630318775311 18. Rimac V, Jokic A, Podolar S, Vlasic Tanaskovic J, Honovic L,
Lenicek Krleza J. Potential conflict of interest
None declared. sistent test results. Since starting to use the AV sys-
tem, our laboratory accelerated verification so we
can save more time and focus on verifying the ab-
normal test results. Our improved model can help
design, build, and validate an AV system and be
used as a starting point for different test groups. None declared. Discussion As the compari-
son of AV and user results was evaluated on previ-
ously analysed and validated patient results, the
discordant results could not be reanalysed. Pro-
spective studies are needed for such an analysis. Our experience suggests that designing and using
a comprehensive AV algorithm requires carefully
created rules and the performance of a well-de-
signed validation process. The AV system based
on a middleware enabled more rapid and routine
evaluation of test results, minimised the require-
ments for manual work and provided more con- Several studies have recommended the use of del-
ta checks in AV algorithms (12,23,24). In this study,
the delta check limits were determined by using
the RCV values obtained from the biological varia-
tion database (2). In our study, the delta check limit
used for the CREA test was ± 13%, and the AV rates
were between 65% and 79% (Table 2). A recent Biochem Med (Zagreb) 2022;32(3):030704 https://doi.org/10.11613/BM.2022.030704 9 Designing and validating an autoverification system of biochemical test results Ünlü Gül B. et al. References General position of Croatian medical bi-
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BM.2020.020702 8. Demirci F, Akan P, Kume T, Sisman AR, Erbayraktar Z, Se-
vinc S. Artificial neural network approach in laboratory
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se specifications. The 2014 update. Available from: https://
www.westgard.com/biodatabase1.htm. Accessed Dec 9th
2021. 20. Froom P, Saffuri-Elias E, Barak M. Autovalidation rates in
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BM.2019.030710 21. Shih MC, Chang HM, Tien N, Hsiao CT, Peng CT. Building and
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s12911-019-0848-2 27. Rimac V, Lapic I, Kules K, Rogic D, Miler M. Implementa-
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http://uu.diva-portal.org/smash/get/diva2:1627318/FULLTEXT01
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en
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Multiplex protein screening of biomarkers associated with major bleeding in patients with atrial fibrillation treated with oral anticoagulation
|
Journal of thrombosis and haemostasis
| 2,021
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cc-by
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Received: 27 May 2021
|
Accepted: 12 August 2021
DOI: 10.1111/jth.15498
ORIGINAL ARTICLE
Multiplex protein screening of biomarkers associated with
major bleeding in patients with atrial fibrillation treated with
oral anticoagulation
Agneta Siegbahn1,2 | Johan Lindbäck1 | Ziad Hijazi1,3 | Mikael Åberg2
|
4
5
4
John H. Alexander | John W. Eikelboom | Renato D. Lopes | Tymon Pol3 |
Jonas Oldgren1,3 | Christopher B. Granger4 | Salim Yusuf5 | Lars Wallentin1,3
1
Uppsala Clinical Research Center,
Uppsala University, Uppsala, Sweden
2
Department of Medical Sciences, Clinical
Chemistry and Science for Life Laboratory,
Uppsala University, Uppsala, Sweden
3
Department of Medical Sciences,
Cardiology, Uppsala University, Uppsala,
Sweden
4
Duke Clinical Research Institute, Duke
Health, Durham, North Carolina, USA
5
Abstract
Background: Oral anticoagulants (OAC) in patients with atrial fibrillation (AF) prevent
thromboembolic events, but are associated with significant risk of bleeding.
Objectives: To explore associations between a wide range of biomarkers and bleeding
risk in patients with AF on OAC.
Method: Biomarkers were analyzed in a random sample of 4200 patients, 204 cases
with major bleedings, from ARISTOTLE. The replication cohort included 344 cases
Population Health Research Institute,
Hamilton, Ontario, Canada
with major bleeding and 1024 random controls from RE-LY. Plasma samples obtained
Correspondence
Agneta Siegbahn, Department of Medical
Sciences, Clinical Chemistry, Uppsala
University, SE-751 85 Uppsala, Sweden.
Email: agneta.siegbahn@medsci.uu.se
cular and inflammation panels and conventional immunoassays. The associations
Funding information
The ARISTOTLE trial was funded by
Bristol-Myers Squibb Co, Princeton, NJ,
USA and Pfizer Inc., New York, NY, USA,
and coordinated by the Duke Clinical
Research Institute, Durham, NC, USA and
Uppsala Clinical Research Center, Uppsala,
Sweden. The RE-LY trial was funded
by Boehringer Ingelheim, Ingelheim,
Germany. The analyses were supported
by The Swedish Foundation for Strategic
Research [grant number RB13-0197], the
Swedish Heart-Lung Foundation [grant
number 20090183] and Science for Life
Laboratory, Uppsala University, Uppsala,
Sweden. Roche Diagnostics, Rotkreuz,
Results: Out of 268 proteins, nine biomarkers were independently associated with
at randomization were analyzed by the Olink Proximity Extension Assay cardiovasbetween biomarker levels and major bleeding over 1 to 3 years of follow-up were
evaluated by random survival forest/Boruta analyses and Cox regression analyses to
assess linear associations and hazard ratios for identified biomarkers.
bleeding in both cohorts. In the replication cohort the linear hazard ratios (95% confidence intervals) per interquartile range were for these biomarkers: TNF-R1 1.748
(1.456, 2.098), GDF-15 1.653 (1.377, 1.985), EphB4 1.575 (1.320, 1.880), suPAR 1.548
(1.294, 1.851), OPN 1.476 (1.240, 1.757), OPG 1.397 (1.156, 1.688), TNF-R 2 1.360
(1.144,1.616), cTnT-hs 1.232 (1.067, 1.423), and TRAIL-R 2 1.202 (1.069, 1.351).
Conclusions: In patients with AF on OAC, GDF-15, cTnT-hs, and seven novel biomarkers were independently associated with major bleedings and reflect pathophysiologic processes of inflammation, apoptosis, oxidative stress, vascular calcification,
coagulation, and fibrinolysis. Investigations of the utility of these markers to refine
Manuscript Handled by: Ton Lisman
Final decision: Ton Lisman, 12 August 2021
ClinicalTrials.gov identifier: NCT00412984 and NCT00262600
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction
in any medium, provided the original work is properly cited and is not used for commercial purposes.
© 2021 The Authors. Journal of Thrombosis and Haemostasis published by Wiley Periodicals LLC on behalf of International Society on Thrombosis and
Haemostasis.
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wileyonlinelibrary.com/journal/jth
J Thromb Haemost. 2021;19:2726–2737.
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SIEGBAHN et al.
Switzerland, provided the pre-commercial
assay of GDF-15.
2727
risk stratification and guide the management of patients at high risk of bleeding are
warranted.
KEYWORDS
anticoagulants, atrial fibrillation, biomarkers, hemorrhages, proteomics
1
|
I NTRO D U C TI O N
ESSENTIALS
Atrial fibrillation (AF) is associated with a five-fold increased risk of
• Biomarkers associated with bleeding can help with risk
thromboembolisms, mainly stroke, independently of other risk fac1,2
tors.
prediction in patients with atrial fibrillation (AF) on oral
Oral anticoagulants (OAC) significantly reduce the risk of
anticoagulants (OACs).
thromboembolic events but, unfortunately, are also associated with
• New analytical technologies allow measurements of
a significant risk of major bleeding complications.3,4 Accurate assess-
hundreds of biomarkers in small plasma volumes.
ment to balance the risk of stroke and systemic embolic events (S/
• In a targeted proteomic approach we screened plasma
SEE), against the risk of major bleeding is therefore an important
from 5568 patients with AF on OAC.
therapeutic goal in the clinical management of these patients.5
• Nine out of 268 investigated biomarkers were signifi-
Age, prior hemorrhage, severe renal disease, and anemia (hemo-
cantly and independently associated with the risk of
globin) have been independently associated with an increased risk of
bleeding.
6
major bleeding in patients with AF. Using different combinations of
these mainly clinical variables has resulted in at least five validated
risk scores for better prediction of bleeding events in patients with
AF.7 However, in recent years circulating protein biomarkers have
been shown to add substantial incremental information about bleeding risk in patients with AF on OAC treatment. These biomarkers
2
|
M E TH O D S
2.1 | Patient population
encompass markers of oxidative stress, myocardial injury, renal impairment, anemia, inflammation, and coagulation and fibrinolytic ac-
2.1.1 | Identification cohort
tivity.8 To improve the prognostication of major bleeding in patients
with AF we recently identified the strongest clinical variables and
The Apixaban for Reduction in Stroke and Other Thromboembolic
biomarkers associated with the outcome—that is, growth differenti-
Events in Atrial Fibrillation (ARISTOTLE) was a double-blind, double-
ation factor 15 (GDF-15), cardiac Troponin T (cTnT-hs), and hemoglo-
dummy, randomized clinical trial that enrolled 18,201 patients with
bin analyzed by conventional methods. These biomarkers together
AF and at least one CHADS2 risk factor for stroke or systemic em-
with age and history of prior bleeding were included in the novel
bolism between December 2006 and April 2010. Exclusion criteria
risk score, the ABC bleeding score.9 This bleeding score improved
included conditions other than AF that required anticoagulation
the discrimination for prediction of major bleeding compared to risk
(e.g., prosthetic heart valve) and severe renal insufficiency (serum
scores based on clinical variables and performed correct reclassifi-
creatinine >2.5 mg/dl [221 µmol/L] or calculated creatinine clear-
9,10
cation of bleeding risk.
ance <25 ml/min). Patients were randomized to warfarin (n = 9081)
Proximity Extension Assay (PEA; Target 96, Olink Proteomics)
or apixaban (n = 9120). The patients were followed for 1 to 3 years
is an example of a new analytical high-throughput technology that
(median 1.74). Details of the ARISTOTLE trial have previously been
allows simultaneous measurements of hundreds of biomarkers in
published.4,12
1 μl plasma. This technology is useful for screening multiple protein
biomarkers for associations with cardiovascular disease (CVD) and
responses to treatment.11 In the present study, we used three Target
2.1.2 | Replication cohort
96 multiplex immunoassays—C VD II, CVD III, and Inflammation—
including 276 proteins, all with proposed involvement in cardiovas-
The Randomized Evaluation of Long-Term Anticoagulation Therapy
cular disease, metabolism, inflammation, and immunity. Our main
(RE-LY) trial was a prospective, multicenter, randomized trial com-
purpose was to identify novel prognostic biomarkers and potential
paring two blinded doses of dabigatran with open label warfarin
pathophysiological processes associated with major bleeding events
that enrolled 18,113 patients with AF between December 2005 and
in patients with AF treated with OACs. Identification of biomarkers
March 2009. Exclusion criteria included severe heart valve disorder,
associated with bleeding can help with risk prediction and the devel-
recent stroke, creatinine clearance less than 30 ml/min, or active
opment of novel therapies that might mitigate the risk of bleeding in
liver disease.3,13 Patients were followed for 1 to 3 years (median
patients with AF taking OACs.
1.96).
2728
|
In both trials, patients at certain centers participated in the bio-
SIEGBAHN et al.
2.2.1 | Proteomic profiling
marker substudies and provided, at randomization, venous blood
samples. EDTA plasma was immediately centrifuged and frozen in
The proteomic analyses were performed at the Clinical Biomarkers
aliquots and stored at –70°C until analyzed centrally at the Uppsala
Facility, Science for Life Laboratory, Uppsala University, with-
Clinical Research Center (UCR) Laboratory, Uppsala University,
out information on any other data. The determinations were per-
Uppsala, Sweden. In both trials ethics committee approval was ob-
formed with the high-throughput PEA technique using the Target
tained for all investigational sites, and all patients provided written
96 Multiplex CVD II96x96, CVD III96x96, and Inflammation96x96 panels
informed consent.
(Olink Proteomics, www.olink.com/products), which together simultaneously measured 276 selected proteins in plasma potentially related to CVD and inflammation. The PEA technology uses pairs of
2.1.3 | Outcome assessment
antibodies equipped with DNA reporter molecules.11 When binding
to their correct targets, antibody pairs give rise to new DNA am-
The primary safety endpoint in both the ARISTOTLE and RE-LY
plicons each ID-barcoding their respective antigens. The amplicons
trials was major bleeding, adapted from the International Society
are subsequently quantified using the Fluidigm BioMark™ HD real-
on Thrombosis and Haemostasis (ISTH) definition.12–14 A blinded
time PCR platform. Inter-plate variability was adjusted by intensity
Clinical Events Committee reviewed and centrally adjudicated all
normalization with the plate median as the normalization factor. For
suspected bleeding events in both studies. Major bleeding was de-
data analysis Olink NPX Manager software was used. The results
fined as acute or subacute clinically overt bleeding accompanied
provide relative values, normalized protein expression (NPX) data,
by at least one of the following: (1) decrease in hemoglobin level of
which are log2 transformed and one-unit-higher NPX represents a
≥2 g/L; (2) a transfusion of at least two units of packed red blood
doubling of the measured protein concentration. The PEA assays
cells; and/or (3) fatality or occurrence in a critical area or organ: in-
have high reproducibility and repeatability with mean intra-assay
tracranial, intraspinal, intraocular, pericardial, intraarticular, intra-
and inter-assay coefficients of variation around 8% and 12%, respec-
muscular with compartment syndrome, or retroperitoneal.
tively, and average inter-site variation at 15%.11
A good correlation between biomarkers analyzed with the PEA
technique and analyzed by conventional immunoassays has previ-
2.1.4 | Multimarker screening study design
ously been shown.16 The protein markers in the identification cohort
included three panels, CVD II, CVD III, and Inflammation, and are
The identification of biomarkers associated with major bleedings was
detailed in Tables S1 and S2. Of the 276 PEA proteins, 10 were avail-
based on a random sample of 4200 patients from the ARISTOTLE
able on more than one panel, resulting in 266 unique markers. As
biomarker substudy (N = 14,780 patients with available measure-
initial results in the identification cohort identified biomarkers from
ments on cTnT-hs, NT-proBNP [N-terminal pro-B-t ype natriuretic
the CVD II and CVD III panels as more strongly associated with the
peptide], GDF-15, and cystatin C), the identification cohort, includ-
outcome major bleeding, the inflammation panel was omitted in the
ing 204 patients with and 3996 patients without major bleedings
replication subset.
during follow-up. Replication was performed by a case-cohort design and included all 344 cases with major bleedings and a random
sample of 1024 patients without major bleeding in the RE-LY biomarker substudy (N = 8549 patients with available measurements
on cTnT-hs, NT-proBNP, and GDF-15).
2.3 | Statistical analyses
A random survival forest algorithm17 was used to evaluate the simultaneous association between variables and major bleeding. The
2.2 | Biochemical analyses
evaluation included levels of 263 PEA markers, four conventional
markers (NT-proBNP, cTnT-hs, GDF-15, and IL-6), renal function
(cystatin C in the ARISTOTLE and CKD-EPI in the RE-LY studies,
The plasma concentrations of high-sensitivity cTnT-hs, NT-proBNP,
respectively), and 13 clinical characteristics (randomized treat-
and GDF-15 were determined by Roche immunoassays using a Cobas
ment, age, gender, body mass index [BMI], smoking, hypertension,
Analytics e601 (Roche Diagnostics). Interleukin 6 (IL-6) was ana-
diabetes, hemoglobin, previous myocardial infarction, stroke/tran-
lyzed using the high-sensitivity sandwich ELISA immunoassay (R&D
sient ischemic attack [TIA], peripheral artery disease, heart failure,
Systems Inc.) and Cystatin C with the ARCHITECT system ci8200
and previous bleeding). The total number of biomarkers analyzed
(Abbott Laboratories) using the particle-enhanced turbidimetric im-
with the random survival forest algorithm was therefore 268 (5
munoassay (PETIA) from Gentian. Estimated glomerular filtration
analyzed by conventional analyses + 266 biomarkers analyzed with
rate (eGFR) was calculated based on centrally determined creatinine
PEA excluding 3 PEA duplicate biomarkers that were analyzed by
levels using the CKD-EPI (Chronic Kidney Disease Epidemiology
conventional analyses). The number of trees was 5000, splits were
Collaboration) equation.15
done according to a maximally selected statistic criterion, and the
|
SIEGBAHN et al.
2729
variables were ranked according to their scaled permutation variable
using the R environment for statistical computing, version 3.3.119
importance, measured as the change in Harrell’s C-index before and
using the ranger package. 20
after permuting the variable of interest. The scaling is done over the
trees and not over the variables and therefore does not yield values
between 0 and 1. Subjects with all PEA markers missing were excluded, in ARISTOTLE 316 patients. In RE-LY there was none. There
were only a few partially missing values and these were singly im-
3
|
R E S U LT S
3.1 | Baseline characteristics
puted using multivariate imputations by chained equations. An identical approach was used in the RE-LY evaluation, with a total of 184
Baseline characteristics of the identification and validation cohorts
PEA markers. The largest proportion of missing values for clinical
are shown in Tables 1 and 2, respectively. In both studies, patients
variables was 0.5% in ARISTOTLE and 2% in RE-LY; for the PEA bio-
who experienced major bleeding events during follow-up were at
markers 6% in ARISTOTLE and 0.1% in RE-LY. A Boruta analysis was
baseline older and had more previous cardiovascular events includ-
used to confirm which of the variables in the random survival forest
ing prior bleedings. At baseline, these patients also had higher con-
18
In
centrations of the cardiovascular biomarkers, NT-proBNP, cTnT-hs,
short, the Boruta analysis performs multiple runs of random sur-
analysis had a larger than random association with outcomes.
and GDF-15. The inflammation marker IL-6 was also higher in this
vival forest comparing all variables to random variables, which are
group of patients with AF. Slightly lower baseline levels of hemo-
shuffled copies of the original variables. Variables performing bet-
globin were found in patients with bleeding events during follow-up.
ter than the maximum random variable importance are classified as
Complete lists of all 266 biomarkers and their relative concentra-
confirmed, variables performing worse are rejected, and variables
tions (NPX values) in patients with or without bleeding events and
that cannot be confirmed or rejected are classified as tentative. In
limit of detection (LOD) are presented in Tables S1 and S2 for the
the Boruta analysis the number of trees was lowered to 2000 due to
identification and replication cohorts, respectively.
performance issues and a maximum of 100 random survival forests
were run. Biomarkers with a top ranking in the random survival forest analysis and confirmed in the Boruta analysis in both cohorts,
3.2 | Identification substudy
were considered to have confirmed association with the risk of major
bleeding.
In the ARISTOTLE cohort, 13 clinical variables and 268 biomarkers
The pairwise correlation between PEA biomarkers and estab-
were analyzed in the random survival forest analysis and the 50 vari-
lished conventional biomarkers was assessed by the Spearman
ables with highest variable importance are presented in Figure S1A
correlation.
in supporting information. In this cohort osteopontin (OPN), age,
Cox regression analyses were performed including each of the
and GDF-15 were identified as having the strongest association with
established standard immunoassays (naturally log-transformed) and
major bleeding. According to the corresponding Boruta analysis,
the PEA biomarkers, one at a time, assuming a linear association with
age and the two top biomarkers were followed by 14 biomarkers
the log hazard rate. In the validation cohort, weighted Cox regres-
which had confirmed or tentatively confirmed importance for pre-
sion analyses were done, in which each subject was given a weight
dicting bleeding events: cTnT-hs, interleukin-17 receptor A (IL-17RA),
corresponding to the reciprocal of the sampling probability. Thus,
tumor necrosis factor receptor 1 (TNF-R1), ephrin type-B receptor 4
the cases were given a weight of 1.0 and the randomly sampled con-
(EphB4), cystatin C, trefoil factor 3 (TFF3), TNF-R 2, TNF-related ap-
trols were given a weight of 1/0.1716528.
optosis inducing ligand receptor 2 (TRAIL-R 2), CD 40, soluble uroki-
On the inflammation panel, 16 of the proteins had more than
nase plasminogen activator receptor (suPAR). spondin-2 (SPON2),
80% of the measurements below the limit of detection and these
C-C motif chemokine 17 (CCL17), lymphotoxin-beta receptor (LTBR),
were not candidates for inclusion in the Cox regression models. The
and osteoprotegerin (OPG) (Figure 1). The linear association with
Cox regression analyses were performed in an unadjusted model
bleeding events for each of these individual biomarkers were inves-
and a model adjusted for baseline clinical characteristics (age, gen-
tigated by unadjusted (Figure S2A) and adjusted for clinical charac-
der, BMI, smoking, hypertension, diabetes, prior myocardial infarc-
teristics (Table S3) Cox regression analyses.
tion, prior stroke/TIA, peripheral artery disease, heart failure, prior
bleeding, and randomized treatment) and adjusting also for renal
function (cystatin-C) and the established markers of bleeding risk
3.3 | Replication substudy
(GDF-15 and cTnT-hs). Results were presented as the relative hazard
for an interquartile difference of each marker with corresponding
The variable importance for the 50 highest ranked variables in the
95% confidence intervals and P-values. Thus, the hazard ratio can be
random survival forest including 12 clinical variables and 186 bio-
interpreted as the relative hazard comparing the two biomarker val-
markers in the RE-LY cohort are shown in Figure S1B. The random
ues defining the inner 50% of the distribution, that is, the third ver-
survival forest and Boruta analyses identified age and 28 biomark-
sus the first quartile. The incremental discriminative value for each
ers with confirmed importance for bleeding, of which 9 biomarkers
biomarker was illustrated by the C-index. All analyses were done
were also identified in the ARISTOTLE cohort (Figure 2 and Table 3).
2730
|
SIEGBAHN et al.
Baseline characteristics
Randomly selected patients
N = 3996
Cases with major
bleeding
N = 204
Age
69.0 (62.0–75.0)
74.0 (68.0–79.0)
Gender/female
1465 (36.7%)
69 (33.8%)
Body mass index (BMI)
28.6 (25.4–32.8)
28.2 (24.5–31.6)
Current smoker
362 (9.1%)
11 (5.4%)
Hypertension
3505 (87.7%)
172 (84.3%)
Diabetes
1001 (25.1%)
57 (27.9%)
Prior myocardial infarction
513 (12.8%)
33 (16.2%)
Previous PCI/CABG
536 (13.4%)
41 (20.1%)
Prior stroke
715 (17.9%)
55 (27.0%)
Peripheral arterial disease
185 (4.6%)
17 (8.3%)
Heart failure
1254 (31.4%)
53 (26.0%)
Prior bleeding
665 (16.6%)
48 (23.5%)
Warfarin
1964 (49.1%)
124 (60.8%)
NT-proBNP (ng/L)
689.0 (363.0, 1257.0)
827.0 (499.5, 1311.0)
cTnT-hs (ng/L)
10.7 (7.4, 16.4)
14.3 (9.2, 20.2)
GDF−15 (ng/L)
1353.0 (969.8, 2041.2)
1856.5 (1195.0, 2550.2)
Cystatin C (mg/L)
1.0 (0.8, 1.2)
1.1 (0.9, 1.3)
eGFR (ml/min)
74.8 (57.5, 96.4)
65.1 (48.8, 82.8)
IL−6-hs (ng/L)
2.3 (1.5, 4.0)
2.7 (1.6, 4.6)
CRP (mg/L)
2.2 (1.0, 4.7)
2.0 (0.9, 5.5)
Hemoglobin (g/dl)
14.2 (13.2, 15.3)
13.7 (12.6, 14.7)
TA B L E 1 Baseline characteristics
and concentrations of established
biomarkers in the identification cohort,
the ARISTOTLE trial
Note: Continuous variables presented as median (Q1-Q3). Categorial variables are presented as
numbers (percentage).
Abbreviations: CABG, coronary artery bypass grafting; CRP, C-reactive protein; cTnT-hs, cardiac
troponin T measured with a high-sensitivity assay; eGDFR, estimated glomerular filtration rate;
GDF-15, growth differentiation factor-15; IL-6, interleukin 6; NT-proBNP, N-terminal pro-B-t ype
natriuretic peptide; PCI, percutaneuos coronary intervention.
Variables with strongest association to major bleeding events were
characteristics—age, gender, BMI, smoking, hypertension, diabetes,
age, TNF-R1, TNF-R 2, GDF-15, hemoglobin, interleukin 18 (IL-18)
prior myocardial infarction, prior stroke/TIA, peripheral artery dis-
binding protein, fibroblast growth factor 23 (FGF-23), TRAIL-R 2, and
ease, heart failure, prior bleeding, and randomized treatment. The
troponin (cTnT-hs).
associations of the nine prognostic biomarkers with bleeding by
The linear associations between these biomarkers and major
splines are shown in Figure S3A,B.
bleeding by unadjusted (Figure S2B) and adjusted for clinical variables Cox regression analyses are shown in Table S4.
The correlation of the nine identified biomarkers and established
cardiovascular biomarkers, NT-proBNP, cTnT-hs, GDF-15, and renal
function (cystatin C) are shown in Table 4. TNF-R1, TNF-R 2 and
3.4 | Biomarkers associated with bleeding in
both cohorts
According to the random survival forest and Boruta analyses the
following nine biomarkers were confirmed in both cohorts: GDF-
TRAIL-R 2, GDF-15, EphB4, and suPAR were moderately correlated
with renal function (cystatin C) in both studies, rho ≥0.5. TNF-R1,
TRAIL-R 2, and suPAR also correlated with GDF-15 in both studies.
4
|
DISCUSSION
15, cTnT-hs, OPN, EphB4, TNF-R1, TNF-R 2, suPAR, TRAIL-R 2, and
OPG (Table 3). The linear associations between the identified nine
In this study we used a targeted proteomic approach to identify and
biomarkers and major bleeding by unadjusted and adjusted Cox re-
confirm new biomarkers indicating risk of bleeding based on one
gression analyses in both cohorts are shown in Table 3. The C-index
random sample and one case-cohort in patients with AF treated
varied in the ARISTOTLE cohort between 0.685 and 0.715 and in the
with oral anticoagulation. Within each cohort, the strength of the
RE-LY cohort between 0.668 and 0.694 by adding one of the nine
biomarkers’ association with the risk of bleeding were ranked ac-
identified biomarkers to the baseline model including the clinical
cording to two different principles, each capturing different aspects
|
SIEGBAHN et al.
TA B L E 2 Baseline characteristics and
concentrations of established biomarkers
in the validation cohort, the RE-LY trial
Baseline characteristics
Randomly selected patients
N = 1024
Cases with major
bleeding
N = 344
Age
72.0 (66.0–77.0)
76.0 (71.0–8 0.0)
Gender/female
383 (37.4%)
115 (33.4%)
Body mass index (BMI)
27.9 (25.0–31.2)
27.3 (24.3–3 0.9)
Current smoker
80 (7.8%)
22 (6.4%)
Hypertension
814 (79.5%)
279 (81.1%)
Diabetes
212 (20.7%)
100 (29.1%)
Prior myocardial infarction
172 (16.8%)
74 (21.5%)
Prior stroke
204 (19.9%)
71 (20.6%)
Peripheral arterial disease
36 (3.5%)
20 (5.8%)
Heart failure
298 (29.1%)
99 (28.8%)
Warfarin
343 (33.5%)
117 (34.0%)
2731
NT-proBNP (ng/L)
816.0 (382.2, 1452.5)
935.0 (468.8, 1705.8)
cTnT-hs (ng/L)
11.9 (7.6, 19.0)
16.9 (10.7, 28.3)
GDF−15 (ng/L)
1455.0 (1083, 2122.0)
2056.5 (1434.2, 3055.5)
Cystatin C (mg/L)
1.0 (0.8, 1.2)
1.1 (0.9, 1.4)
eGFR (ml/min)
65.2 (54.3, 74.2)
59.7 (49.0, 70.2)
IL−6-hs (ng/L)
2.3 (1.4, 3.8)
2.8 (1.8, 5.1)
CRP (mg/L)
2.5 (1.2, 5.4)
3.2 (1.4, 7.5)
Hemoglobin (g/dl)
14.3 (13.2, 15.3)
13.4 (12.4, 14.7)
Note: Continuous variables presented as median (Q1-Q3). Categorial variables are presented as
numbers (percentage).
Abbreviations: CABG, coronary artery bypass grafting; CRP, C-reactive protein; cTnT-hs, cardiac
troponin T measured with a high-sensitivity assay; eGDFR, estimated glomerular filtration rate;
GDF-15, growth differentiation factor-15; IL-6, interleukin 6; NT-proBNP, N-terminal pro-B-t ype
natriuretic peptide; PCI, percutaneuos coronary intervention.
of the association. The random survival forest and Boruta algorithms
cardiovascular disease. 23 It is a marker of cellular aging and inflam-
evaluated the biomarkers simultaneously while the Cox regression
matory activity, and a major risk indicator of hemorrhages in patients
analyses evaluated the biomarkers individually. We confirmed that
with AF treated with OAC and in patients with acute coronary syn-
the biomarkers GDF-15 and cTnT are strongly and independently
drome (ACS). 21,22,24 The underlying mechanism of the association of
related to the risk of major bleeding in these patients.
8,9,21,22
In ad-
GDF-15 and risk of major bleeding is not fully understood and has
dition, we were also able to identify seven novel biomarkers—OPN,
yet to be revealed. Beyond its inflammatory activity, one possible
OPG, TNF-R1, TNF-R 2, TRAIL-R 2, EphB4, and suPAR—out of 268
process leading to enhanced bleeding risk might be that upon cellu-
investigated proteins to be significantly and independently associ-
lar stress and tissue damage, such as vascular vulnerability, GDF-15
ated with the risk of bleeding. These nine novel biomarkers repre-
is secreted.
sent different pathophysiological processes and warrant further
In the present study OPN and TNF-R1 were strong predictors of
investigations concerning their utility for assessment of bleeding
major bleeding in both cohorts. OPN is a secreted multifunctional
risk and identification of new therapeutic targets that might prevent
glucophosphoprotein that plays major roles in physiological as well as
bleeding in patients with AF treated with OAC.
in pathophysiological processes. 25 Several vascular cell types, such
as monocytes/macrophages, fibroblasts, endothelial cells, vascular
4.1 | Identified biomarkers and pathophysiological
implications
smooth muscle cells, and myocytes, upregulate and secrete OPN. 26
OPN has also been suggested to be involved in and serve as a biomarker for vascular calcification. 27,28 Similar to OPN, OPG, another
member of the TNF receptor superfamily, is a modulator of vascular
The identified biomarkers represent a broad array of pathophysi-
calcification and correlated with coronary calcium scores in patients
ologic processes. We attempt, therefore, to put our findings into
with acute coronary disease, which is a risk factor for non–coronary
perspective of these pathways.
artery bypass grafting--related major bleeding in ACS. 29,30 In pa-
The cytokine GDF-15 is secreted by a broad range of cells
upon hypoxia and oxidative stress and is strongly associated with
tients with ACS treated with dual antiplatelet therapy, OPG was recently identified as an independent biomarker of bleeding events.31
2732
|
SIEGBAHN et al.
F I G U R E 1 Variable importance in
the ARISTOTLE cohort. Boruta analysis
in the identification, ARISTOTLE,
cohort of the significance of variable
importance for ISTH major bleeding
in the random survival forest analysis
including clinical variables, biomarkers
assayed by conventional methods and by
Proximity Extension Assay. Color coding
according to the Boruta analysis: green =
confirmed, yellow = tentative, and red =
rejected
Not much attention has been focused on the role of OPN in
levels are independently associated with higher risk of renal disease
AF. However, very recently, OPN was found to induce atrial fibro-
progression, cardiovascular events, and mortality in patients with
sis32 and to be significantly associated with incident AF.33 It is also
diabetes.38 In a large population-based cohort, individuals with high
strongly associated with future ischemic stroke in patients with AF
levels of sTNF-R1 had increased risk of myocardial infarction, cardio-
during anticoagulant treatment.
34
Recently, it was shown that hu-
vascular death, and stroke, and the plasma levels were suggested as
mans express multiple OPN isoforms that have different functional
surrogate markers of arterial injury.39 The TNF alpha/TNF-R1 sys-
effects.
35
However, the importance of these isoforms in vascular
pathophysiology, CVD, and AF is still elusive.
tem also induces release of endothelial cell-derived extracellular
vesicles, which participate in vascular damage by contributing to
The strong association of TNF-R1 and bleeding risk assessment
apoptosis and promoting inflammation of the endothelial cells.40
in patients with AF treated with OAC identified in the present study
Another so-called death receptor, TRAIL-R 2 has been attributed to
has not been previously reported. TNF-alpha binds mainly to TNF-
be the main apoptosis-inducing receptor.41 It induces apoptosis in
R1, which belongs to the TNF receptor superfamily and is expressed
macrophages, vascular smooth muscle cells, and endothelial cells
on all tissues in the body including cardiomyocytes.
36
Upon activa-
tion of TNF-R1 the induced signaling pathways mainly result in apoptosis and necrosis.
37
and inflammatory activity of atherosclerotic plaques, and thereby
contributes to the plaque vulnerability phenotype.42
Protease cleavage by ADAM17 of the receptor
The association between OPN and bleeding risk found in our
releases the soluble form (sTNF-R1) and increased sTNF-R1 plasma
two large cohorts of patients with AF may reflect effects of calcified
|
SIEGBAHN et al.
2733
F I G U R E 2 Variable importance in
the RE-LY cohort. Boruta analysis in
the replication, RE-LY, cohort of the
significance of variable importance
for ISTH major bleeding in the random
survival forest analysis including
clinical variables, biomarkers assayed
by conventional methods and by
Proximity Extension Assay. Color coding
according to the Boruta analysis: green =
confirmed, yellow = tentative, and red =
rejected
arteries on bleeding rather than the arrhythmia. Infiltration of calcium
Matrix metalloproteinases (MMPs) and members of the disin-
into the vessel wall may lead to weakening of the wall by reducing
tegrin and metalloproteinase (ADAM) family, predictors of incident
compensatory compliance and the biological and mechanical hemo-
AF, participate in the regulation of Eph functions and signaling upon
static capacity of the vessel. Thus, this may limit vascular ability to
Eph–ephrin interaction often results in cell detachment and repul-
appropriately respond to trauma and thereby predispose the vessel to
sion.34,47,48 We have previously described that members of the Eph
43
bleeding. Activation of the TNF alpha/TNF-R1 system and TRAIL-R2
RTK family, including EphB4, can be proteolytically cleaved in their
can induce endothelial cell damage and apoptosis of the vessel wall,
ectodomain by tissue factor/factor VIIa, the main initiator of blood
which provides a possible mechanism of bleeding propensity.
coagulation, leading to cell repulsion.49 Thus, the Eph family of RTKs
EphB4 is a member of the Eph tyrosine kinase receptor, family
are novel co-receptors and proteolytical substrates of the coagula-
which constitutes the largest receptor tyrosine kinase (RTK) family
tion system with consequences on cellular functions beyond blood
in the genome.44 The Eph–ephrin signaling acts as a global cell posi-
coagulation.49 The activation of blood coagulation in AF might lead
tioning system and the EphB4/EphrinB2 system plays an important
to proteolytic cleavage of EphB4 and a soluble form measured in
role in vascular development and angiogenesis.
45
The Eph receptor–
plasma. To our knowledge, the present study is the first to show an
ephrin signaling is also involved in inflammatory processes such as
association between EphB4 and AF including bleeding events in AF
monocyte adhesion, transmigration through vascular endothelium,
patients. Whether EphB4 is merely a specific biomarker of bleeding
and atherosclerotic plaque development.46
propensity reflecting increased expression on vascular cells in AF or
2734
|
SIEGBAHN et al.
TA B L E 3 Associations between ISTH major bleeding and biomarkers with confirmed importance in the random survival forest analyses in
both studies and results from adjusted Cox regression analyses
ARISTOTLE
Hazard ratio (95% CI)
RE-LY
Hazard ratio (95% CI)
Biomarker
Unadjusted
Adjusted
Unadjusted
Adjusted
OPN
1.988 (1.667, 2.372)
1.518 (1.221, 1.867)
1.777 (1.525, 2.071)
1.265 (1.046, 1.529)
GDF−15
1.731 (1.496, 2.001)
1.195 (0.925, 1.544)
2.056 (1.772, 2.385)
1.574 (1.293, 1.915)
EphB4
1.378 (1.220, 1.557)
1.153 (1.014, 1.310)
1.968 (1.683, 2.302)
1.380 (1.122, 1.698)
TNF-R1
1.894 (1.605, 2.236)
1.372 (1.042, 1.806)
2.152 (1.838, 2.521)
1.614 (1.272, 2.049)
cTnT-hs
1.596 (1.404, 1.814)
1.137 (0.914, 1.415)
1.457 (1.284, 1.654)
1.128 (0.966, 1.317)
TNF-R 2
1.765 (1.490, 2.090)
1.231 (0.968, 1.567)
1.494 (1.255, 1.778)
1.231 (1.017, 1.492)
suPAR
1.777 (1.493, 2.116)
1.317 (1.023, 1.700)
1.830 (1.566, 2.137)
1.288 (1.039, 1.598)
TRAIL-R 2
1.307 (1.191, 1.436)
1.085 (0.949, 1.240)
1.290 (1.163, 1.432)
1.143 (1.009, 1.294)
OPG
1.650 (1.388, 1.963)
1.161 (0.937, 1.440)
1.793 (1.535, 2.093)
1.205 (0.986, 1.473)
Notes: The hazard ratios correspond to a comparison of the third and the first sample quartiles or, since the association is assumed linear, an
interquartile difference.
The Cox regression model is adjusted for clinical characteristics—age, gender, BMI, smoking, hypertension, diabetes, prior MI, prior stroke/TIA, prior
PAD, prior HF, prior bleeding and randomized treatment, renal function, cystatin C, and the biomarkers GDF-15 and cTnT-hs.
Abbreviations: BMI, body mass index; CI, confidence interval; cTnT-hs, cardiac troponin T measured with a high-sensitivity assay; EphB4, ephrin
type-B receptor 4; GDF-15, growth differentiation factor-15; HF, heart failure; MI, myocardial infarction; OPG, osteoprotegerin; OPN, osteopontin;
PAD, peripheral artery disease; RF, random survival forest; suPAR, soluble urokinase plasminogen activator receptor; TIA, transient ischemic attack;
TNF-R , tumor necrosis factor receptor; TRAIL-R 2, TNF-related apoptosis inducing ligand receptor 2.
GDF−15
NT-proBNP
cTnT-hs
Cystatin C
Biomarker
ARI
RE-LY
ARI
RE-LY
ARI
RE-LY
ARI
RE-LY
GDF−15
1
1
0.35
0.37
0.49
0.44
0.52
0.49
cTnT-hs
0.49
0.44
0.38
0.40
1
1
0.48
0.36
TNFR−1
0.55
0.55
0.29
0.28
0.45
0.40
0.64
0.61
OPN
0.40
0.35
0.28
0.26
0.34
0.32
0.37
0.33
suPAR
0.53
0.50
0.33
0.32
0.40
0.33
0.55
0.48
EphB4
0.42
0.41
0.22
0.19
0.38
0.29
0.51
0.49
TNF-R 2
0.49
0.48
0.22
0.23
0.39
0.31
0.59
0.56
TRAIL-R 2
0.63
0.60
0.39
0.41
0.49
0.42
0.64
0.60
OPG
0.44
0.41
0.25
0.28
0.33
0.34
0.29
0.16
TA B L E 4 Spearman correlations
between the significant PEA biomarkers
and established biomarkers presented
from in the identification, ARISTOTLE,
and replications RE-LY cohorts
Abbreviations: cTnT-hs, cardiac troponin T measured with a high-sensitivity assay; EphB4, ephrin
type-B receptor 4; GDF-15, growth differentiation factor-15; NT-proBNP, N-terminal pro-B-t ype
natriuretic peptide; PEA, Proximity Extension Assay; OPG, osteoprotegerin; OPN, osteopontin;
suPAR, soluble urokinase plasminogen activator receptor; TNF-R , tumor necrosis factor receptor;
TRAIL-R 2, TNF-related apoptosis inducing ligand receptor 2.
whether it, considering its complex biology, plays a causative role in
clots and degradation of blood clotting factors and extracellular
AF remains to be elucidated.
matrix.53,54 Inflammatory cytokines cleave uPAR from the cell sur-
The inflammatory biomarker suPAR is involved in the devel-
face into a soluble form that is engaged in innate immune responses
opment of atherosclerosis and is associated with the presence
through regulation of cell adhesion and migration.54 An elevated
and severity of coronary artery disease, cardiovascular death, and
plasma level of suPAR has also been suggested as a biomarker of
myocardial infarction.50,51 uPAR is expressed on a variety of cells,
heart failure and of incident AF.55,56 In the present study suPAR
including leukocytes and endothelial cells, and localizes active uPA
was found to have a strong prognostic value in prediction of future
to the cell surface, which forms an extracellular proteolytic enzyme
bleeding events in patients with AF on OAC, confirming the modu-
system.52 The uPA system cleaves plasminogen into plasmin and
latory role of fibrinolysis on the hemostatic balance. These results
thereby plays a mandatory role in fibrinolysis by dissolution of fibrin
are in accordance with previous studies, which clearly demonstrated
|
SIEGBAHN et al.
2735
that elevated D-dimer levels, reflected as a marker of fibrinolysis,
of bleeding events, with 204 in the identification cohort and 344 in
57
the replication cohort. The PEA inflammation panel was not applied
GDF-15, suPAR, EphB4, and the death receptors were moderately
in the validation cohort. These differences may have influenced the
correlated with cystatin C. Renal impairment is a well-known risk
results to some degree.
are associated with increased bleeding events in AF patients.
factor for CVD and thromboembolism but also bleeding propensity,
The results in this study were obtained in individuals with AF en-
which has been attributed to an imbalance in the coagulation sys-
rolled in clinical trials evaluating antithrombotic therapy, which may
tem.58,59 suPAR, TNF-R1, and TRAIL-R 2 also correlated moderately
limit external generalizability.
The biomarker assays used in the PEA technique result in val-
with GDF-15, thus further indicating that inflammatory as well as
coagulation processes and endothelial dysfunction are involved.
ues expressed in relative units, NPX values. The PEA technique is
This is the first study to report a protein multimarker approach
excellent for screening purposes but for clinical applications abso-
in screening of new biomarkers of importance for bleeding events
lute concentrations will be required. Prior validation studies have,
in patients with AF and OAC. The identification of nine biomarkers
however, clearly demonstrated that biomarkers analyzed with the
independently associated with bleeding confirms the hypothesis that
PEA technique have good further investigation concordance with
molecular biomarkers can be potentially useful to indicate the under-
established immunoassays.16
lying biology and pathways of importance for adverse events in cardiovascular disease, including AF. A multimarker screening may also
identify future targets for therapies to reduce bleeding or prevent
5
|
CO N C LU S I O N S
thromboembolism without increasing bleeding. Important molecular
mechanisms by which these biomarkers may confer bleeding risk are
In two well-characterized clinical trial cohorts of patients with AF on
cellular aging, inflammation and innate immune responses, vascular
OAC we confirmed, out of 268 screened biomarkers, the importance
remodeling and calcification, endothelial cell damage, apoptosis, fi-
of GDF-15 and cTnT-hs and identified seven novel biomarkers that
brosis, coagulation activity, and fibrinolysis. The exact mechanisms
contribute to prognostication of the risk of major bleedings. These
remain, however, elusive. At least OPN and suPAR are not only mark-
biomarkers showed association with inflammatory processes (GDF-
ers of bleeding, but also markers of specific pathological processes,
15, OPN, OPG, TNF-R1, TNF-R 2, TRAIL-R 2, EphB4, and suPAR), vas-
such as fibrosis in the heart, underlying incident AF. Impaired vessel
cular remodeling and calcification (GDF-15, OPN, OPG), endothelial
walls in combination with decreased coagulation propensity, due to
cell damage and cell survival (TNF-R1, TNF-R 2, TRAIL-R 2), coagula-
OAC, and activation of fibrinolysis in patients with AF at older age
tion (EphB4), and fibrinolysis (suPAR). Further in-depth studies are
might be one plausible explanation for these biomarkers as indicators
required to elucidate the underlying biological processes for the risk
of future bleeding. In the clinical setting GDF-15 has already clearly
of major bleeding in AF. Whether any individual or a combination of
improved the risk prediction beyond clinical risk factors. Whether the
these novel biomarkers might improve prognostication of bleeding
newly identified biomarkers may add clinical value to the assessment
in the clinical setting and guide future therapies that may reduce
of major bleeding risks in patients with AF needs to be validated.
bleeding warrant further investigations using quantitative assays in
these and other cohorts.
4.1.1 | Strengths and limitations
C O N FL I C T S O F I N T E R E S T
Dr. Siegbahn: institutional research grants from AstraZeneca,
The strength of this study is that it is based on cross-validation of
Boehringer Ingelheim, Bristol-Myers Squibb/Pfizer, GlaxoSmithKline,
proteomic findings in two large materials from two clinical cohorts
Roche Diagostics and consultancy fees from Olink Proteomics. Mr.
with complete follow-up and independent ascertainments of all
Lindbäck: institutional research grants from Boehringer Ingelheim,
outcome events. Considering the problem of multiplicity and mass-
Bristol-Myers Squibb/Pfizer. Dr. Hijazi: lecture fees from Boehringer
significance when evaluating the 268 biomarkers, it was alleviated
Ingelheim, Roche, Bristol-Myers Squibb, and Pfizer; consulting
by using a random survival forest and Boruta algorithm, as well as
fees from Merck Sharp & Dohme, Roche, Bristol-Myers Squibb,
comparing the results in two independent cohorts. We based our
and Pfizer. Dr. Åberg: none. Dr. Alexander: institutional research
selection of important biomarkers on a non-linear machine learning
grants from Bayer, Boehringer Ingelheim, Bristol-Myers Squibb,
approach using the same criteria as we have previously published.60
Cryolife, CSL Behring, Ferring, Glaxosmithkline, and XaTek and
The random survival forest and Boruta algorithms allow for non-
consulting fees/honoraria from AbbVie, Bristol-Myers Squibb,
linear associations and complex interactions among the variables. In
Cryolife, Glaxosmithkline, Pfizer, and Portola. Dr. Eikelboom: hon-
the Cox regression analyses, on the other hand, we assumed a linear
oraria and institutional research grants from AstraZeneca, Bayer,
association between the log relative hazard of major bleedings and
Boehringer Ingelheim, Bristol-Myers Squibb/Pfizer, Daiichi Sankyo,
each marker one at a time, making it possible to estimate average
GlaxoSmithKline, Janssen, Sanofi Aventis, and Eli Lilly, as well as a
adjusted hazard ratios in a more conventional way.
personnel award from the Heart and Stroke Foundation. Dr. Lopes:
There were differences between the two cohorts in regard to
institutional research grant and consulting fees from Bristol-Myers
study design, random sample versus case cohort, and to the number
Squibb; institutional research grant from GlaxoSmithKline; consulting
2736
|
SIEGBAHN et al.
fees from Bayer, Boehringer Ingleheim, Pfizer, Merck, Portola. Dr.
Pol: none. Dr. Oldgren: consulting and lecture fees from Boehringer
Ingelheim, Bayer, Bristol-Myers Squibb, Pfizer. Dr. Granger: grants
11.
and personal fees from GlaxoSmithKline, Boehringer Ingelheim,
Bristol-Myers Squibb, Pfizer, Sanofi-Aventis, Takeda, The Medicines
12.
Company, Janssen, Bayer, Hoffmann-L a Roche; grants from
Medtronics Foundation, Merck & Co., Armetheon; personal fees
from Lilly, AstraZeneca, Daiichi Sankyo, Ross Medical Corporation,
Salix Pharmaceuticals, Gilead. Dr. Yusuf: grants, speaker fees, and
13.
travel support from Boehringer Ingelheim. Dr. Wallentin: institutional
research grants, consultancy fees, lecture fees, and travel support
from Bristol-Myers Squibb/Pfizer, AstraZeneca, GlaxoSmithKline,
14.
Boehringer Ingelheim; institutional research grants from Merck &
Co, Roche; consultancy fees from Abbott; holds two patents involv-
15.
ing GDF-15.
AU T H O R C O N T R I B U T I O N S
16.
AS and LW conceived the research and planned the design of the
study. AS, JL, ZH, TP, JO, and LW performed formal analysis of the
study results. JL performed the statistical analyses. AS wrote the
manuscript. All coauthors critically revised the manuscript. All coauthors have approved the final manuscript for submission.
17.
18.
19.
ORCID
Mikael Åberg
https://orcid.org/0000-0002-7858-8233
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S U P P O R T I N G I N FO R M AT I O N
Additional supporting information may be found online in the
Supporting Information section.
How to cite this article: Siegbahn A, Lindbäck J, Hijazi Z,
et al. Multiplex protein screening of biomarkers associated
with major bleeding in patients with atrial fibrillation treated
with oral anticoagulation. J Thromb Haemost. 2021;19:2726–
2737. https://doi.org/10.1111/jth.15498
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http://rbep.inep.gov.br/ojs3/index.php/emaberto/article/download/3182/2917
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Políticas públicas para formação de professores: Pibid, Mestrados Profissionais e PNEM
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Em Aberto
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cc-by
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Políticas públicas para formação
de professores: Pibid, mestrados
profissionais e PNEM Marinalva Vieira Barbosa
Natália A. Morato Fernandes 23 Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 Abstract Abstract
Public policies for teacher training: Pibid, professional master´s
degree and PNEM This article aims to analyze the conceptions, the teacher profile, the dialogues
and the contradictions that guide the current formative policies; based on the
documents which created the Programa Institucional de Bolsa de Iniciação
à Docência (Pibid), professional master’s degrees and the Pacto Nacional pelo
Fortalecimento do Ensino Médio (PNEM). Specifically, it is interesting to uncover
what teacher’s profile these policies seek to build and whether they are related
to each other and to the goals of the Plano Nacional de Educação (PNE 2015-2024). Keywords: policies; education; teaching; conceptions. Resumo O objetivo deste artigo é analisar as concepções, o perfil docente, os diálogos
e as contradições que orientam as políticas formativas atuais, com base nos
documentos de criação do Programa Institucional de Bolsa de Iniciação à Docência
(Pibid), dos mestrados profissionais (MPs) e do Pacto Nacional pelo Fortalecimento
do Ensino Médio (PNEM). Especificamente, interessa saber qual perfil docente tais
políticas buscam construir e se mantêm relação entre si e entre as metas e objetivos
do Plano Nacional de Educação (PNE 2014-2024). Palavras-chave: políticas; formação; docência; concepções. Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 Abstract
Public policies for teacher training: Pibid, professional master´s
degree and PNEM Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 Introdução c) possibilitam, entre a formação inicial e continuada que oferecem, uma
espécie de continum, uma vez que o bolsista do Pibid pode vir a ser o aluno
dos mestrados profissionais e/ou poderá estar entre aqueles que atuam no
ensino médio, que são também público da formação oferecida pelo PNEM. No que diz respeito à estrutura deste artigo, inicialmente apresentamos uma
breve discussão sobre a formação de professores no Brasil, enfocando as políticas,
as contradições e as influências que a organização das políticas para formação sofre
em razão das demandas sociais e econômicas. Nas análises, após um resumo de
apresentação de cada programa, o foco recai sobre as concepções presentes nos
seus respectivos objetivos e, consequentemente, sobre o professor que cada um visa
formar. A título de conclusão, buscamos delinear os diálogos entre as propostas
desses programas, suas contradições e de que maneira eles contribuem para
a efetivação das metas 15, 16, 17 e 18 do PNE 2014-2024. Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 Introdução As políticas públicas para formação inicial e continuada de professores, dentro
do escopo de preocupações relacionadas à melhoria da educação, no Brasil das
últimas décadas, ganharam relevância nas pesquisas acadêmicas e também nos
investimentos realizados pelos governos das esferas municipal, estadual e federal
com vistas à melhoria da educação básica. Na mesma direção, houve investimento
considerável em busca da melhoria da formação de professores, entretanto, esse
tema continua presente nos debates em razão dos problemas que apresenta. A formação de professores é não só uma demanda não esgotada, mas também segue
como um grande desafio, principalmente quando se focalizam os avanços ou não
das políticas públicas implantadas (Azevedo; Aguiar, 2001; Gatti, 2008; Gatti;
Barretto; André, 2011; Montandon, 2012). 24 Diante dessa atualidade, considerando os objetivos formativos presentes nos
documentos legais de criação (portarias, decretos e documentos de apresentação)
do Programa Institucional de Bolsa de Iniciação à Docência (Pibid), Programas
de mestrados profissionais (MPs) e Pacto Nacional pelo Fortalecimento do Ensino
Médio (PNEM), procuramos responder a três perguntas: 1) Como a formação inicial e continuada são concebidas? Especificamente,
qual perfil do profissional é delineado nos objetivos desses programas? 1) Como a formação inicial e continuada são concebidas? Especificamente,
qual perfil do profissional é delineado nos objetivos desses programas? 2) Há diálogo entre os objetivos desses programas no que diz respeito
à formação? 2) Há diálogo entre os objetivos desses programas no que diz respeito
à formação? 3) A formação proposta pelos três programas dialoga com o que as metas do
Plano Nacional de Educação (PNE 2014-2024) estabelecem? A escolha desses três programas para análise se justifica pelo seguinte: a) são de abrangência nacional, portanto alcançam professores de todas
as regiões do Brasil; Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 b) alcançam professores de todos os níveis da educação básica, principalmente
a partir do ensino fundamental; b) alcançam professores de todos os níveis da educação básica, principalmente
a partir do ensino fundamental; c) possibilitam, entre a formação inicial e continuada que oferecem, uma
espécie de continum, uma vez que o bolsista do Pibid pode vir a ser o aluno
dos mestrados profissionais e/ou poderá estar entre aqueles que atuam no
ensino médio, que são também público da formação oferecida pelo PNEM. Regulamentação e política governamental 25 No quadro das transformações sociais, políticas e econômicas das últimas
décadas, especificamente nos anos seguintes ao processo de redemocratização do
Brasil, a formação de professores ganhou destaque no âmbito das políticas
educacionais, como consequência dos debates que ganharam força sobre a qualidade
do ensino oferecido na escola básica. Ou seja, como tais discussões vêm ocorrendo
também em contexto de importantes demandas por uma educação básica que atenda
às exigências econômicas relacionadas à mão de obra qualificada para o mercado
de trabalho contemporâneo, por isso, a escola passou a ser vista como a responsável
por criar as condições para que os indivíduos pudessem desenvolver suas capacidades
e aprender os conteúdos necessários para compreender e para participar das relações
sociais, econômicas e culturais cada vez mais plurais. A qualidade da educação e a formação de professores passaram a ser pauta
nas agendas e discussões sobre educação no Brasil e nas ações e políticas propostas
pelo Ministério da Educação (MEC). Passaram a ser faces de uma mesma questão
e, consequentemente, esta última ganhou ressonância no processo de elaboração
e aprovação da Lei de Diretrizes e Bases da Educação Nacional (LDB – Lei
nº 9.394/1996). Naquele momento, a meta era fazer com que, em dez anos, todos
os professores que atuavam na educação básica, nos seus diferentes níveis,
alcançassem a formação superior. Não tendo sido alcançada essa meta, o parágrafo
4º do art. 87, foi revogado. Diante disso, a formação de professores tornou-se um tema crucial, implicado
em qualquer discussão que visasse propor políticas públicas para a educação escolar,
devido ao reconhecimento de que os desafios apresentados para a escola
contemporânea exigiam/exigem um patamar cada vez mais elevado de formação do
seu corpo docente. Tal preocupação está registrada no art. 61 da LDB, que define
a formação dos profissionais da educação como resposta às necessidades e objetivos
dos diferentes níveis de ensino e às características de cada fase de desenvolvimento
do educando. No artigo seguinte, define-se que a formação mínima do professor da
educação básica deverá ser realizada em nível superior, em instituições de ensino
superior (IES): Art. 62. A formação de docentes para atuar na educação básica far-se-á em nível
superior, em curso de licenciatura plena, admitida, como formação mínima para
o exercício do magistério na educação infantil e nos cinco primeiros anos do ensino
fundamental, a oferecida em nível médio, na modalidade normal. (Redação dada
pela lei nº 13.415/2017). Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 Regulamentação e política governamental § 5º A União, o Distrito Federal, os Estados e os Municípios incentivarão a formação
de profissionais do magistério para atuar na educação básica pública mediante
programa institucional de bolsa de iniciação à docência a estudantes matriculados
em cursos de licenciatura, de graduação plena, nas instituições de educação superior. (Incluído pela Lei nº 12.796/2013). (Brasil, 1996). No decorrer dos anos 2000, ocorreu a expansão da oferta de programas
e projetos de formação (Brasil. Capes, 2013). A parceria entre universidade e escola
foi intensificada. Consequentemente, a qualidade dessa formação e a sua efetivação
em transformações das práticas de ensino e aprendizagem também passaram a ser
um tema de grandes preocupações, uma vez que, na ponta desse processo, estão
as exigências sociais e econômicas mais amplas de produção de um indivíduo capaz
de compreender, agir e propor mudanças no contexto global e neoliberal em que
está inserido (Mazzeu, 2009; Tommasi; Warde; Haddad, 2009). 26 O MEC, de acordo com Weber (2015), ao longo dos anos que precederam
a aprovação da LDB, mostrou-se bastante proativo na execução da tarefa de oferecer
meios para impulsionar a efetivação de ações de formação inicial e continuada
de professores. Dentre elas, a mais expressiva, segundo a autora, foi a instituição
da Política Nacional de Formação de Profissionais de Magistério da Educação Básica,
que ficou sob a Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
(Capes), especificamente na Diretoria de Formação de Professores da Educação
Básica. Essa política, no momento da sua instituição, em 2009, fundamentalmente,
visou firmar o reconhecimento da importância do professor na realização do processo
educativo escolar e, em consequência disso, a necessidade de sua valorização
profissional. Entretanto, todas essas mudanças, efetivadas à luz do texto da LDB e em
documentos oficiais que a desdobraram, não foram suficientes para produzir
a formação requerida para os profissionais da educação básica, de maneira a atender
às necessidades atuais da escola básica, principalmente no que diz respeito ao que
dela é demandado. Os investimentos feitos também não resultaram no número
de profissionais necessários para ocupar a demanda da escola básica. Ainda é muito comum associar o desempenho dos alunos da educação básica em exames nacionais
e internacionais à qualidade de formação do professor. Regulamentação e política governamental Nos textos críticos ao ensino
realizado pela escola básica, os objetos criticados são muitas vezes os mesmos
de décadas anteriores a todo esse movimento em busca da melhoria da educação
pela via do investimento na formação inicial e continuada. Consequentemente, nas metas 15, 16, 17 e 18 do PNE 2014-2024, questões
como formação específica, formação em nível de pós-graduação, valorização
profissional e plano de carreira compõem o eixo central intitulado “Valorização dos
Profissionais da Educação: formação, remuneração, carreira e condições de trabalho”. O objetivo da nota técnica da Meta 15 é, na vigência do PNE, garantir
a formação específica do professor. Essa nota trata de um problema antigo, bastante
presente nas discussões sobre as políticas de formação, qual seja: o desvio de função. Segundo o texto da nota, no Brasil de 2013, devido à escassez de licenciados para
determinadas áreas, ainda era comum professores atuarem em disciplinas
para as quais não foram formados. O percentual de professores com formação
compatível com a disciplina que lecionava era de 50% e, com pequenas variações,
esse percentual era similar para todos os níveis de escolarização: educação infantil,
ensino fundamental e médio. Na conclusão dos resultados apresentados na nota técnica da Meta 15,
afirma-se que é necessário ampliar os esforços e investimentos na formação superior
nas áreas específicas em que atuam muitos professores da educação básica. Nesse
sentido, a Meta 16 já aponta um direcionamento desse investimento, qual seja:
a formação em nível de pós-graduação de 50% dos professores hoje ativos
e também a oferta de formação continuada em suas áreas de atuação. 27 A “escassez oculta” ou a falta de profissionais com formação adequada à área
em que atuam, de fato, põe em evidência dois problemas: a desvalorização da carreira
docente e a falta de um plano de carreira que contemple também as questões
relacionadas à remuneração. As metas 17 e 18 voltam-se para a valorização dos
profissionais da educação básica, prevendo inclusive a equiparação salarial com
as demais profissões com o mesmo nível de formação, e para o estabelecimento
de planos de carreiras baseados no piso salarial previsto na Constituição Federal. Regulamentação e política governamental Em síntese, tais metas do PNE representam o reconhecimento de que ainda são
necessárias políticas governamentais que visem criar condições efetivas para que
esse profissional se sinta valorizado socialmente pelo esforço que precisa depreender
na formação das gerações futuras, na perspectiva do que lhe é demandado pela
sociedade contemporânea (Gatti; Barretto; André, 2011). Pibid, MPs e PNEM: abrangências e concepções Contextualização e eixos de sustentação Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 Contextualização e eixos de sustentação Os programas analisados neste artigo foram criados com vistas a alcançar
professores que atuam em diferentes níveis do magistério da educação básica, enfocando a formação inicial e continuada. Criados em diferentes momentos
da implantação e execução da Política Nacional para Formação de Profissionais
do Magistério da Educação Básica, têm como eixo comum e orientador a “equalização
de oportunidades educacionais e padrão mínimo de qualidade do ensino” (Brasil,
2008). Esse eixo sintetiza as atribuições da União, conforme previsto no parágrafo
1º, do art. 211, da Constituição Federal e que embasou o Decreto nº 8.752/2016
(que retoma o Decreto nº 6.755/2009). Esse decreto instituiu a Política Nacional
de Formação de Profissionais do Magistério da Educação Básica, cujos objetivos,
conforme o art. 4º, estavam previstos para ser efetivados a partir da “criação dos
Fóruns Estaduais Permanentes de Apoio à Formação Docente, em regime
de colaboração entre a União, os Estados, o Distrito Federal e os Municípios, e por
meio de ações e programas específicos do Ministério da Educação” (Brasil, 2009). No contexto dessas regulamentações, o Pibid, criado em 2007 por meio
da Portaria Normativa MEC nº 38/2007, e, instituído no âmbito da Capes, pela Portaria
Normativa Capes nº 122/2009, teve dois objetivos: a) incentivar a iniciação à docência durante a formação inicial de professores
nos cursos de licenciatura de instituições públicas de ensino superior,
valorizando o magistério e aqueles que optaram pela carreira docente; b) elevar a qualidade das ações que, nessas instituições, estavam voltadas
para a formação inicial de professores. 28 Consequentemente, para a execução desses objetivos primeiros, estão
previstos outros que alcançam a escola ao estimularem a integração da educação
superior com a educação básica por meio da parceria entre secretarias estaduais
e municipais de educação e universidades públicas, num trabalho colaborativo com
vistas à melhoria do ensino nas escolas públicas – consideradas também como
parceiras, corresponsáveis pela formação dos futuros professores. Na modalidade mestrados profissionais (MPs), foram criados alguns programas
voltados para a formação de professores da educação básica pública. Os MPs
ganharam força na empolgação e ebulição que programas como o Pibid geraram nas
universidades federais. Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 Contextualização e eixos de sustentação Assim, o MEC, por meio da Portaria nº 17/2009, que retoma
a Portaria Normativa MEC nº 07/2009, definiu os MPs como cursos de pós-graduação
stricto sensu com foco na prática profissional e que, por isso, deveriam habilitar
o profissional concluinte a: a) a atuar em atividades técnico-científicas e de inovação, por meio
da incorporação do método científico; b) possuir uma formação apropriada que o permita aplicar o conhecimento
adquirido durante a formação com rigor metodológico; c) incorporar (mantendo-se atualizado) os avanços científicos e tecnológicos
de forma a construir solução para problemas específicos no seu ambiente
de trabalho. Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 Com o mesmo intuito de oferecer formação continuada para professores em
atuação na educação básica, o MEC, também por meio da pactuação entre
universidades, estados e municípios e demais entidades engajadas em questões
educativas, criou – por meio da Portaria nº 1.140/2013 – e implementou, em 2014,
o Pacto Nacional pelo Fortalecimento do Ensino Médio (PNEM), cujos objetivos
e ações foram organizados em torno dos seguintes eixos: a) garantir a formação de professores e demais profissionais da escola; a) garantir a formação de professores e demais profissionais da escola;
b) ampliar os espaços de formação dos profissionais que atuam nessa etapa
de ensino; a) garantir a formação de professores e demais profissionais da escola;
b) ampliar os espaços de formação dos profissionais que atuam nessa etapa
de ensino; b) ampliar os espaços de formação dos profissionais que atuam nessa etapa
de ensino; c) induzir ao redesenho curricular do ensino médio; d) disponibilizar recursos pedagógicos e novas tecnologias. Esses objetivos estão em consonância com a LDB e com as atuais Diretrizes
Curriculares Nacionais do Ensino Médio (DCNEM), definidas na Resolução
CNE/CEB nº 2/2012. Em síntese, o Pibid alcança a formação inicial de professores em todos os
níveis de escolarização – da educação infantil ao ensino médio. Os MPs, nas áreas
em que foram instituídos, oferecem formação continuada a professores de diferentes
níveis da educação básica – do ensino fundamental ao médio. Por sua vez, o PNEM
alcança o professor do ensino médio, portanto, dos últimos anos da educação básica. Nesse sentido, o público do Pibid tem a possibilidade de se fazer presente nos demais
programas, sendo que o público dos MP’s certamente pode ser o público do PNEM. Contextualização e eixos de sustentação Aliás, a possibilidade de relação entre os públicos desses programas está assinalada
no Regulamento do Pibid (Portaria nº 46/2016, anexo I, art. 7º, inciso II), em que
a Capes coloca como uma das características necessárias aos projetos institucionais
a articulação, nas propostas das IES, do Pibid com os programas institucionais do
MEC e, dentre os enumerados, está o PNEM. Trata-se, portanto, de um conjunto de
programas que alcança o professor da educação básica nos seus diferentes momentos
e/ou níveis de formação e atuação e, consequentemente, oferecem subsídios para
a construção da concepção do que seja o fazer docente nos dias atuais. 29 29 Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 A formação e o perfil do professor nos objetivos do Pibid, MPs e PNEM Para a análise a ser desenvolvida neste tópico, tomamos como base a concepção
de que a profissão docente se constitui por meio do diálogo entre elementos teóricos
e aqueles advindos das experiências práticas. Nesse sentido, as políticas formativas
integram a constituição desse conjunto amplo de conhecimentos e saberes que
o professor sustenta sobre a própria profissão, uma vez que, nas suas diferentes
proposições, visam inserir o professor em contextos de aprendizagens teórico-
práticos. Por isso, é fundamental dar atenção às concepções que norteiam tais
políticas. Conforme já dito, o Pibid objetiva alcançar o futuro professor na formação
inicial. Dada a sua abrangência e proporção dos investimentos, trata-se de um
programa que formará um número importante de uma geração de professores que
ministrarão e/ou ministram aulas em todos os níveis da educação básica. No Regulamento do Pibid constam os seguintes objetivos: Art. 4º [...] Art. 4º [...] I
incentivar a formação de docentes em nível superior para a educação básica; I
incentivar a formação de docentes em nível superior para a educação básica; II
contribuir para a valorização do magistério; III elevar a qualidade da formação inicial de professores nos cursos de licenciatura,
promovendo a integração entre educação superior e educação básica; IV inserir os licenciandos no cotidiano de escolas da rede pública de educação,
proporcionando-lhes oportunidades de criação e participação em experiências
metodológicas, tecnológicas e práticas docentes de caráter inovador
e interdisciplinar que busquem a superação de problemas identificados no
processo de ensino e aprendizagem; IV inserir os licenciandos no cotidiano de escolas da rede pública de educação,
proporcionando-lhes oportunidades de criação e participação em experiências
metodológicas, tecnológicas e práticas docentes de caráter inovador
e interdisciplinar que busquem a superação de problemas identificados no
processo de ensino e aprendizagem; V
incentivar escolas públicas de educação básica, mobilizando seus professores
como coformadores dos futuros docentes e tornando-as protagonistas nos
processos de formação inicial para o magistério; VI contribuir para a articulação entre teoria e prática necessárias à formação
dos docentes, elevando a qualidade das ações acadêmicas nos cursos
de licenciatura; VII contribuir para que os estudantes de licenciatura se insiram na cultura escolar
do magistério, por meio da apropriação e da reflexão sobre instrumentos,
saberes e peculiaridades do trabalho docente. Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 A formação e o perfil do professor nos objetivos do Pibid, MPs e PNEM 30 VIII articular-se com os programas de formação inicial e continuada de professores
da educação básica, de forma a contribuir com a criação ou com o fortalecimento
de grupos de pesquisa que potencialize a produção de conhecimento sobre
ensinar e aprender na Educação Básica; IX comprometer-se com a melhoria da aprendizagem dos estudantes nas escolas
onde os projetos institucionais são desenvolvidos. (Brasil. Capes, 2016, anexo 1). O inciso I dialoga com o previsto no art. 62 da LDB: possibilitar que o professor
tenha formação em nível superior; enquanto que o inciso II, na mesma linha, pretende
a valorização do magistério. Cabe destacar que, ao longo do texto, essa última questão
não apresenta maiores definições acerca do que seria e de como se daria essa
valorização. Ao leitor fica subentendido que o conjunto de ações formativas propostas
nos objetivos levaria a essa valorização. As questões relacionadas às condições
de trabalho e sua precariedade e à valorização profissional e salarial – que, inclusive,
são as que mais afastam o futuro professor da docência –, não são abordadas nem
postas como condição fundamental a ser enfocada durante essa formação. Com isso,
cria-se a ideia de que a melhoria do trabalho docente depende somente da qualidade
da formação do professor e, consequentemente, das práticas e conhecimentos que
poderá manejar. Os incisos III, VI e VII tocam numa questão histórica: a necessidade
de fortalecer a relação entre universidade e escola e de superar a dicotomia entre teoria e prática vigente durante a formação na universidade e também durante
o exercício docente. De diferentes perspectivas, esses três incisos apontam para
aquilo que Imbernón (2000) chamou de um discurso paradoxal, contraditório porque
postula que o nível acadêmico é importante para essa formação e, ao mesmo tempo,
aponta as suas fragilidades, dentre as quais se destaca a não superação da concepção
que dá maior valor aos conhecimentos teóricos, específicos, em detrimentos dos
conhecimentos práticos. Nesse sentido, a exigência prevista nos objetivos do
programa para que haja equilíbrio e acomodação entre formação teórica e prática
instala o dilema da formação culta versus a formação para a prática. A formação e o perfil do professor nos objetivos do Pibid, MPs e PNEM Isso ocorre
porque, por meio das ações do Pibid, deve-se, ao mesmo tempo, formar um professor
culto – com capacidade para pensar as práticas de ensino considerando conhecimentos
filosóficos e científicos –, e um professor prático/técnico – que, a partir da experiência
de formação no programa, seja “capaz de entrar numa sala de aula e, aplicando
regras relativas à conduta e aos conhecimentos a serem transmitidos, seja capaz
de se desempenhar a contento diante dos alunos” (Saviani, 2011, p. 13). Os incisos V e VII entendem a escola como locus da formação e o professor
que lá está como coformador dos futuros professores. Especificamente, o inciso V
contrapõe-se a uma prática muito denunciada no âmbito da realização dos estágios
supervisionados: a transformação da escola em mero figurante dessa formação, uma
vez que dela é demandada a oferta de espaço e de supervisor do estágio. No reverso
do discurso de defesa da necessidade de fazê-la protagonista, está o que a coloca
como não protagonista desse processo. Nessa perspectiva, o documento traz também
a afirmação implícita (VII) de que a docência se constitui como prática social a partir
do entrecruzamento de conhecimento teórico e de saberes da prática. A ação docente
que possibilita ao professor ocupar a posição de um profissional transformador
de seus alunos constitui-se com base nas apropriações e reflexões sobre os modos
de confecção e funcionamento dos instrumentos didático-pedagógicos; admite-se
também que há saberes e peculiaridades nessa profissão que são somente acessíveis
no contexto escolar. 31 O inciso VIII aborda duas questões distintas. A primeira diz respeito à ideia
de combater a fragmentação, dispersão e descontinuidade existentes nas IES, em
decorrência (acredita-se) da diversificação dos modelos de funcionamento dessas
instituições, e nas instâncias superiores propositoras das políticas de formação. A segunda parte enfoca a criação de grupos de pesquisa, reafirmando assim
a importância da formação acadêmica acrescida de outra demanda: a produção de
conhecimento sobre o que significa ensinar e aprender na educação básica. Nessa
perspectiva, o professor que está na escola é colocado na posição de quem tem
o que dizer sobre a formação que se realiza nas IES. Um sujeito de conhecimento
e não somente da prática. Por fim, o inciso IX traz a exigência de que as IES se comprometam também
com a melhoria da aprendizagem (e não só do ensino) dos alunos da educação básica. Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 A formação e o perfil do professor nos objetivos do Pibid, MPs e PNEM Isso traz, para o âmbito da formação, a proposição de que a aprendizagem do aluno
que está na escola é também responsabilidade das IES. Nestas é muito presente
a visão de que o aprendizado do aluno da educação básica é responsabilidade da escola, que, inclusive, é muito criticada por não realizar essa tarefa a contento. Nesse sentido, o comprometimento é indireto e precisa ocorrer na efetivação
da formação de um professor capaz de mudar a qualidade da aprendizagem
na escola. Um professor transformador da educação escolar hoje realizada. Por sua vez, os mestrados profissionais, tendo como foco o professor em
atuação, buscam oferecer uma formação mais completa do que os cursos de
especialização (e os que ficaram conhecidos nos documentos oficiais como sendo
de aperfeiçoamento), ancorada em conhecimentos científicos que permitam
ao professor atuar no mercado de trabalho. Assim, o art. 3º da Portaria MEC
nº 17/2009, que retoma a Portaria MEC nº 7/2009, define os MPs como cursos
de pós-graduação stricto sensu, e o art. 4º explicita os seus objetivos: Art. 3º O mestrado profissional é definido como modalidade de formação
pós-graduada stricto sensu [...]. Art. 4º São objetivos do mestrado profissional: I capacitar profissionais para o exercício da prática profissional avançada
e transformadora de procedimentos, visando atender demandas sociais,
organizacionais ou profissionais e do mercado de trabalho; II transferir conhecimento para a sociedade, atendendo demandas específicas e de
arranjos produtivos com vistas ao desenvolvimento nacional, regional ou local; III promover a articulação integrada da formação profissional com entidades
demandantes de naturezas diversas, visando melhorar a eficácia e a eficiência
das organizações públicas e privadas por meio da solução de problemas e geração
e aplicação de processos de inovação apropriados; 32 IV contribuir para agregar competitividade e aumentar a produtividade
em empresas, organizações públicas e privadas. (Brasil. MEC, 2009). Cabe destacar que a semântica do termo “mestrado profissional”,
em contraponto ao termo “mestrado acadêmico”, estabelece uma diferenciação que,
de fato, traz na sua gênese a crítica à formação docente que ocorre nos modelos
vigentes nas IES, por ser muito teórica e afastada das demandas da escola
e da sociedade. Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 A formação e o perfil do professor nos objetivos do Pibid, MPs e PNEM O inciso I dá visibilidade a essa diferenciação ao definir que o objetivo
deve ser a capacitação para a prática profissional avançada e transformadora
de procedimentos (não de humanos), o que remete às exigências dos organismos
internacionais que definem que as políticas públicas educacionais devem ter como
meta responder às demandas de um mercado de trabalho competitivo e globalizado
(Tommasi; Warde; Haddad, 2009). Isso inclui a exigência de uma formação
de professor universalizada/profissionalizada, logo técnica. Se os objetivos do Pibid
apresentam a prevalência da concepção de formação de um professor culto, os dos
MPs voltam-se para a técnica; daí, a necessidade de ser avançada, transformadora
de procedimentos para que atenda às demandas sociais, organizacionais
ou profissionais do mercado de trabalho. O professor a ser formado por essa
perspectiva – inciso II –, precisa assumir a posição do técnico capaz de transferir
(não construir) conhecimento de modo a atender às demandas do campo produtivo
relacionadas aos contextos nacionais, regionais e locais. Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 Os incisos III e IV trazem exigências que são do campo empresarial
e econômico: melhoria da eficácia e eficiência, solução de problemas, geração
de processos inovadores, aumento de produtividade e competitividade. Esses termos
remetem às altas exigências do mercado econômico contemporâneo e,
consequentemente, do trabalho como força produtiva do capital empresarial. Quando
traduzidos para o campo da educação e da formação, dadas as especificidades
e precariedades que hoje permeiam a prática profissional dos professores, tais
exigências tendem a ser tomadas como simples e, rapidamente, são assimiladas
como modelos a serem seguidos. Além disso, essas características tecnicistas podem
levar o professor a ter dificuldades para compreender os ritmos das escolas e para
incorporar essas exigências no contexto escolar, sobretudo na escola pública. Ao serem usadas como eixos para estruturar os mestrados profissionais voltados
à formação docente, tais exigências deixam de considerar a realidade da profissão
docente no que diz respeito às condições de trabalho. Inovação, competitividade
e produtividade pressupõem acesso às tecnologias e conhecimentos atuais, tal como
se dá no contexto empresarial, algo ainda não disponível na e para a maioria das
escolas básicas brasileiras. Os objetivos postos pela Capes – como diretrizes para concepção, organização
e execução dos MPs – são constitutivos e definidores do modo como essa formação
tem sido trabalhada nas IES. Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 A formação e o perfil do professor nos objetivos do Pibid, MPs e PNEM Ou seja, os MPs se configuram como uma nova trajetória
de formação não mais centrada na dimensão acadêmica e sim na dimensão
profissional. Com base nessas diretrizes legais, dá-se a criação dos inúmeros
programas de MPs (com funcionamento em rede ou não) para formar professores
para a educação básica em diferentes áreas do conhecimento. As versões em rede
desses programas, que aprofundam o caráter neoliberal e racionalista presentes nas
políticas formativas, apresentam as seguintes características organizativas: objetivos
e currículo vigentes em âmbito nacional, orientações teórico-metodológicas comuns,
modelos para a produção dos trabalhos de conclusão de curso e, em muitos,
bibliografia das disciplinas unificada. Esse processo incide, principalmente, na relação
que o professor estabelece com o conhecimento e com os próprios saberes da prática,
uma vez que provoca a homogeneização dos modos de olhar, questionar e buscar
respostas para os problemas que se apresentam como objeto de estudo e orientam
a busca de soluções. 33 No que diz respeito ao PNEM, nos documentos que orientam as ações
de formação continuada de professores e coordenadores do ensino médio para
os anos de 2013 e 2014, afirma-se que, nos fundamentos e objetivos desse programa,
está a busca por uma escola que ofereça, no decorrer do ensino médio, uma formação
integral que possibilite o desenvolvimento do ser humano na sua totalidade, não
cindido pela divisão social advinda da ideia de uma formação para o trabalho. A formação escolar é concebida, portanto, como meio de emancipação com vistas
às leituras de mundo e à participação dos bens sociais, culturais e produtivos. Tal concepção, expressa no texto orientador do Pacto, fundamenta-se nas Diretrizes
Curriculares para o Ensino Médio (DCNEM) na medida em que concebe o trabalho
docente englobando ciência, cultura e novas tecnologias, o que implica considerar, no processo formativo, as dimensões da ação humana, o aspecto educativo
do trabalho, a pesquisa como eixo fundamental da ação pedagógica e, principalmente,
os direitos humanos como princípio central da prática educativa (Brasil. MEC, 2014). Esses princípios expressos nas DCNEM, e tomados como referenciais pelo PNEM,
colocam-se na perspectiva de superar a dualidade que, historicamente, marca
o ensino médio no Brasil – de um lado, ensino propedêutico para as classes favorecidas
com perspectiva de continuação dos estudos, e, de outro, ensino técnico
profissionalizante para os filhos da classe trabalhadora. Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 A formação e o perfil do professor nos objetivos do Pibid, MPs e PNEM A concepção norteadora
desses documentos é a da formação humana integral, que não se coaduna com
a que toma a formação escolar como preparação para o trabalho a partir do uso dos
conhecimentos científico-tecnológicos. Para tanto, defende-se que a formação do professor precisa ser pensada
a partir de múltiplos espaços e propostas, que podem ser concretizados na educação
formal, tais como nos cursos de licenciaturas e nos espaços de formação continuada. A partir disso, o documento orientador das ações de formação continuada
de professores e coordenadores pedagógicos do ensino médio em 2014 traz
as seguintes afirmações: Objetivo geral: Formar em nível de aperfeiçoamento ou extensão todos os professores
e coordenadores pedagógicos que atuam no Ensino Médio com vistas à valorização
da formação do professor e dos profissionais da Educação a partir do diálogo entre
conhecimentos teóricos e experiências docentes e de gestão pedagógica. Descrição do curso: O curso privilegia a articulação entre a teoria e a prática
no processo de formação docente, fundado no domínio de conhecimentos científicos
e didáticos. Considera a escola como lócus de formação continuada e (re)construção
coletiva do projeto político-pedagógico em suas articulações com as concepções
de juventude e direito à qualidade social da educação. 34 Metodologia: A proposta do curso compreende o professor como um sujeito
epistêmico, que elabora e produz conhecimentos com base na compreensão
da realidade e nas possibilidades de transformação da sociedade [...]. (Brasil. MEC,
2014, p. 5). O objetivo “formar (...) a partir do diálogo entre conhecimentos teóricos
e experiências docentes” é detalhado no item seguinte: “o curso privilegia
a articulação entre a teoria e a prática no processo de formação docente, fundado
no domínio de conhecimentos científicos e didáticos”. Logo, o professor é concebido
como um “sujeito epistêmico, que elabora e produz conhecimentos com base
na compreensão e nas possibilidades de transformação da sociedade”. Tais
fundamentos permitem interpretar que o Pacto pretende uma formação continuada
que coloca o professor na posição de sujeito portador de saberes práticos e que,
a partir disso, pode promover discussões teórico-práticas com vistas à construção
de respostas de caráter científico para os problemas pedagógicos contextuais que
se apresentam na e para a escola. Dito de outro modo, por meio das práticas formativas, possibilitará
as condições necessárias para refletir sobre as reais necessidades da escola e, à luz
dos seus conhecimentos teóricos, poderá construir respostas para os problemas que se apresentam no decorrer do trabalho docente. A formação e o perfil do professor nos objetivos do Pibid, MPs e PNEM Para tanto, os conhecimentos teóricos
advindos desse processo de formação precisam se desdobrar de modo a se
transformarem e/ou dialogarem com os conhecimentos relacionados com as questões
mais amplas, tais como educação, economia, política e sociedade e suas relações
com os aspectos sociocognitivos da aprendizagem e do desenvolvimento humano. Como sujeito epistêmico, esse docente é um sujeito ético, com responsabilidades
sociais, individuais e investigativas – aqui entra também o papel da pesquisa
no avanço na compreensão do seu próprio trabalho. As características do curso de formação do Pacto, conforme apontadas acima,
evidenciam a estratégia da formação em serviço tendo, talvez, dois objetivos
principais: a) ampliar o alcance do programa ao realizar a formação na escola (usando
a hora atividade); b) preparar o maior número possível de professores e coordenadores
pedagógicos do ensino médio para a reforma que se pretende para esse
nível de ensino – o redesenho curricular a partir de áreas do conhecimento. Nessa perspectiva, “a formação contínua tende a articular-se em primeira
linha com os objetivos do sistema, nomeadamente com o desenvolvimento
da reforma” (Nóvoa, 1992, p. 9). Desse modo, o desenvolvimento profissional
dos professores e o desenvolvimento organizacional da escola seriam consequências
do processo desencadeado pelo programa. 35 Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017 Considerações finais No que diz respeito às três perguntas que nortearam a escrita deste artigo,
é possível responder que a formação inicial e continuada no Pibid e no PNEM são
concebidas, com maior ou menor ênfase, objetivando a constituição do professor
como um sujeito culto, logo conhecedor e produtor de conhecimentos teóricos
considerados fundamentais à compreensão e transformação da sua prática
profissional. Nesse sentido, a formação acadêmica é criticada naquilo que não dialoga
com a escola, mas é posta como necessária às mudanças que as políticas educacionais
visam promover na educação básica. Pleiteia-se nesses dois programas a mudança
na forma de efetivação. Já os MPs reivindicam uma formação técnica, voltada para as exigências das
economias e, consequentemente, do mercado de trabalho globalizado. Concebidas
à luz das exigências de profissionalização das áreas administrativas e exatas, dentre
outras, as diretrizes da Capes que orientam a criação de MPs se ancoram num
conjunto de discursos que coloca a formação oferecida pelas IES em xeque. A relação entre condições de trabalho, valorização do magistério, carreira
e salários e melhoria da qualidade da educação básica não é abordada no documento
do Pibid, embora, conforme assinalado nas análises, pode-se partir do princípio que
o conjunto de ações demandadas pelo programa criaria as condições para que o professor se engajasse também em políticas que visam a mudanças nesses aspectos. O PNEM, ao trazer nas suas diretrizes a concepção de que as mudanças educacionais
prescindem de compreensão e engajamento e, principalmente, que o trabalho docente
engloba um empenho na formação e desenvolvimento humano em todos os seus
aspectos, coloca de forma contundente a necessidade de que sejam garantidas as
condições de trabalho e a valorização do profissional docente. As diretrizes dos MPs,
pelo que é próprio dos seus fundamentos, não sinalizam a necessidade de abordar
tais questões – ao contrário, apontam para uma perspectiva que tende a reforçar
a precarização humana nos contextos profissionais a serviço da produtividade, dos
resultados e de seus avanços. No que diz respeito ao diálogo com o atual PNE, os três programas apresentam
objetivos que corroboram com as metas 15, 16 e 17 do plano. No caso do PNEM,
também com a meta 18. Considerações finais Assim, tendo em vista o proposto no PNE, tais programas,
considerando a importância do processo educativo para a formação das novas
gerações e as características exigidas desse profissional, representam um passo
relevante no sentido da implementação de políticas de formação atreladas também
às de valorização da carreira para além do ofício. Porém, tendo em vista as metas
do PNE, faz-se necessária a inclusão, nessas políticas formativas, de diretrizes
que não só formem os profissionais docentes com uma compreensão/concepção
de que a melhoria da educação passa pela melhoria das suas condições de trabalho,
salários e valorização do magistério, mas também que as atrelem a ações
governamentais que avancem na criação de condições e possibilidades
de reconhecimento e respeito condizentes com o papel social atribuído a esse
profissional, garantindo o desenvolvimento de recursos humanos para atender
às demandas sociais e econômicas (Gatti; Barretto; André, 2011). 36 Referências bibliográficas AZEVEDO, J. M. L.; AGUIAR, M. Â. A produção do conhecimento sobre a política
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de Formação dos Profissionais da Educação Básica. Diário Oficial da União,
Brasília, DF, 10 maio 2016. BRASIL. Lei nº 9.394, de 20 de dezembro de 1996. Estabelece as diretrizes
e bases da educação nacional. Diário Oficial da União, Brasília, DF, 23 dez. 1996. Disponível em: http://www.planalto.gov.br/ccivil_03/leis/L9394.htm >. Acesso em:
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CAPES. Disponível em: <http://www.capes.gov.br/images/stories/download/bolsas/
PortariaNormativa122_PIBID.pdf>. Acesso em: 3 mar. 2017. BRASIL. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes). Portaria Normativa Capes nº 122, de 16 de setembro de 2009. Dispõe sobre
o PIBID – Programa Institucional de Bolsa de Iniciação à Docência, no âmbito da
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de Iniciação à Docência – PIBID. Diário Oficial da União, Brasília, DF,
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diretrizes gerais, forma, condições e critérios para a concessão de bolsas
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de estudo e pesquisa no âmbito do ensino médio público, nas redes estaduais
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<http://pactoensinomedio.mec.gov.br/images/pdf/documento_orientador.pdf>. Acesso em: 3 jan. 2017. BRASIL. Ministério da Educação (MEC). Secretaria de Educação Básica (SEB). Pacto Nacional pelo Ensino Médio: formação de professores do ensino médio:
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olhares. 2. ed. São Paulo: Cortez, 2008. FREITAS, H. C. L. A (nova) política de formação de professores: a prioridade
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no Brasil, na última década. Revista Brasileira de Educação, Rio de Janeiro,
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e metodológicos. In: REUNIÃO ANUAL DA ANPED, 32., 2009, Caxambu. Anais... Caxambu: Anped, 2009. Disponível em: <http://32reuniao.anped.org.br/arquivos/
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Pedagógica, Catalão, v. 9, n. 1, p. 7-19, jan./jun. 2011. Disponível em: <https://www.revistas.ufg.br/poiesis/article/view/15667>. Acesso em: 5 jan. 2017. TOMMASI, L.; WARDE, M. J; HADDAD, S. O Banco Mundial e as políticas
educacionais. São Paulo: Cortez, 2009. WEBER, S. O Plano Nacional de Educação Docente: confluências do debate
nacional. Cadernos Cedes, Campinas, v. 35, n. 97, p. 495-515, set./dez. 2015. Disponível em: <http://www.scielo.br/pdf/ccedes/v35n97/1678-7110-
ccedes-35-97-00495.pdf>. Acesso em 5 jan. 2017. 39 Marinalva Vieira Barbosa, doutora em Linguística pela Universidade Estadual
de Campinas (Unicamp), com estágio no Laboratório Interactions, Corpus,
Apprentissages, Représentations (ICAR), ligado à Université Lyon 2 e à Ecole Normale
Superieure de Sciences Humaines et Lettres de Lyon, e pós-doutorado na Faculdade
de Educação da Unicamp, é professora adjunta do Departamento de Linguística
e Língua Portuguesa da Universidade Federal do Triângulo Mineiro (UFTM). Foi
coordenadora institucional do Pibid no período de julho de 2011 a agosto de 2015,
docente permanente do Programa de Mestrado em Educação e do Profletras
da UFTM. marinalva.barbosa@uftm.edu.br Natália Aparecida Morato Fernandes, doutora em Sociologia, é professora
do Departamento de Filosofia e Ciências Sociais da Universidade Federal do Triângulo
Mineiro (UFTM). Atua nos cursos de Licenciatura e Serviço Social e realiza atividades
de pesquisa e extensão sobre as temáticas: políticas educacionais; formação
de professores; práticas de ensino interdisciplinares; mídia, educação e novas
cidadanias. natmorato@gmail.com natmorato@gmail.com natmorato@gmail.com Em Aberto, Brasília, v. 30, n. 98, p. 23-39, jan./abr. 2017
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https://openalex.org/W4280623332
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https://ltu.diva-portal.org/smash/get/diva2:1657425/FULLTEXT01
|
English
| null |
Evaluation of Machine Learning versus Empirical Models for Monthly Reference Evapotranspiration Estimation in Uttar Pradesh and Uttarakhand States, India
|
Sustainability
| 2,022
|
cc-by
| 11,032
|
Priya Rai 1, Pravendra Kumar 1, Nadhir Al-Ansari 2 and Anurag Malik 3,* Evaluation
of Machine Learning Versus
Empirical Models for Monthly
Reference Evapotranspiration
Estimation in Uttar Pradesh and
Uttarakhand States, India. Sustainability 2022, 14, 5771. https://
doi.org/10.3390/su14105771
Academic Editor: Venkat Sridhar
Received: 4 April 2022
Accepted: 9 May 2022
Published: 10 May 2022 Published: 10 May 2022 Keywords: evapotranspiration; machine learning models; empirical models; statistical indicators Publisher’s Note: MDPI stays neu-
tral with regard to jurisdictional
claims in published maps and institu-
tional affiliations. Priya Rai 1, Pravendra Kumar 1, Nadhir Al-Ansari 2 and Anurag Malik 3,* 1 Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of
Agriculture and Technology, Pantnagar 263145, Uttarakhand, India; priya.rai8713@gmail.com (P.R.);
pravendrak_05@yahoo.co.in (P.K.) 2 Civil, Environmental and Natural Resources Engineering, Lulea University of Technology,
97187 Lulea, Sweden; nadhir.alansari@ltu.se 3 Regional Research Station, Punjab Agricultural University, Bathinda 151001, Punjab, India
* C
d
lik19@
d 3 Regional Research Station, Punjab Agricultural University, Bathinda 151001, Punjab, India
* Correspondence: amalik19@pau.edu 3 Regional Research Station, Punjab Agricultural University, Bathinda 151001, Punjab, India
* Correspondence: amalik19@pau.edu 3 Regional Research Station, Punjab Agricultural University, Bathinda 151001 Abstract: Reference evapotranspiration (ETo) plays an important role in agriculture applications
such as irrigation scheduling, crop simulation, water budgeting, and reservoir operations. There-
fore, the accurate estimation of ETo is essential for optimal utilization of available water resources
on regional and global scales. The present study was conducted to estimate the monthly ETo at
Nagina (Uttar Pradesh State) and Pantnagar (Uttarakhand State) stations by employing the three
ML (machine learning) techniques including the SVM (support vector machine), M5P (M5P model
tree), and RF (random forest) against the three empirical models (i.e., Valiantzas-1: V-1, Valiantzas-
2: V-2, Valiantzas-3: V-3). Three different input combinations (i.e., C-1, C-2, C-3) were formulated
by using 8-year (2009–2016) climatic data of wind speed (u), solar radiation (Rs), relative humidity
(RH), and mean air temperature (T) recorded at both stations. The predictive efficacy of ML and the
empirical models was evaluated based on five statistical indicators i.e., CC (correlation coefficient),
WI (Willmott index), EC (efficiency coefficient), RMSE (root mean square error), and MAE (mean
absolute error) presented through a heatmap along with graphical interpretation (Taylor diagram,
time-series, and scatter plots). The results showed that the SVM-1 model corresponding to the C-1
input combination outperformed the other ML and empirical models at both stations. Moreover,
the SVM-1 model had the lowest MAE (0.076, 0.047 mm/month) and RMSE (0.110, 0.063
mm/month), and highest EC (0.995, 0.999), CC (0.998, 0.999), and WI (0.999, 1.000) values during
validation period at Nagina and Pantnagar stations, respectively, and closely followed by the M5P
model. Consequently, the ML model (i.e., SVM) was found to be more robust, and reliable in
monthly ETo estimation and can be used as a promising alternative to empirical models at both
study locations. Citation: Rai, P.; Kumar, P.;
Al-Ansari, N.; Malik, A. [10] applied six ML models including DNN (deep neural network),
TCN (temporal convolution neural network), LSTM (long short-term memory), SVM, and
RF, and seven empirical models, i.e., Hargreaves, modified Hargreaves, Ritchie, Priestley-
Taylor, Makkink, Romanenko, and Schendel, to estimate the daily ETo on the Northeast
Plain of China. The results of the investigation demonstrate that the ML models per-
formed superior to the empirical models. Mehdizadeh et al. [23] coupled ANFIS with
SFLA (shuffled frog leaping algorithm) and IWO (invasive weed optimization) algorithms
for estimation of daily ETo at the Tabriz and Shiraz stations of Iran. The performances of
the ANFIS-SFLA and ANFIS-IWO models were compared with the Priestley–Taylor, Har-
greaves–Samani, Romanenko, and Valiantzas models, and noted that the ANFIS-IWO
model provides better estimates than the other models. Adnan et al. [24] estimated
monthly ETo at the Dhaka and Mymensing stations of south-central Bangladesh using the
ANFIS-MFO (moth flame optimization), ANFIS-WCA (water cycle algorithm), and AN-
FIS-WCOMFO models. Results of the evaluations reveal that the hybrid ANFIS-
WCOMFO model performed superior to the other models. In a related context recently, several nature-inspired algorithms have been embedded
with ML models to optimize their performance in ETo estimation [25]. Alizamir et al. [1]
estimated monthly ETo at two sites (Antalya and Isparta) placed in Turkey by employing
the hybrid of the ANFIS-PSO (particle swarm optimization) and ANFIS-GA (genetic al-
gorithm) against the classical CART (classification and regression tree), ANN, and ANFIS
models. They reported that the hybrid ANFIS-PSO and ANFIS-GA models produce better
estimates than other models at both stations. Maroufpoor et al. [26] applied the hybrid
ANN-GWO (grey wolf optimizer) for estimating the monthly ETo in five different climates
(i.e., arid, semi-arid, hyper-arid, humid, and sub-humid) of Iran. The efficacy of ANN-
GWO was compared against the ANN and LSSVR (least square support vector regression)
models, and found that the hybrid ANN-GWO model was more efficient than other mod-
els in all climates. Rezaabad et al. [27] predicted the daily ETo in the Kerman province of
Iran by coupling the ANFIS with the IWO (weed optimization algorithm), ICA (imperial-
ist competitive algorithm), TLBO (teaching-learning-based optimization), and BBO (bio-
geography-based optimization) algorithms. They found that the ANFIS-ICA model with
EC = 0.98, RMSE = 0.50 mm/day and CC = 0.99 was superior to other models. Chia et al. For optimal utilization of scarce water resources, an accurate estimation of crop evap-
otranspiration (ETc) is crucial for running large irrigation systems by enhancing the water
application efficiency [1,2]. Moreover, the ETc plays an important role in acquiring
knowledge about the appropriate management of water resources, irrigation scheduling,
crop water use, crop production, and water conservation [2]. Usually, ETc is estimated by
computing the reference evapotranspiration (ETo) and then multiplying ETo with Kc (crop
coefficient) [3,4]. Therefore, the ETo is the key factor to improve irrigation and water use
efficiencies [5]. Accordingly, the Penman–Monteith (PM) model was introduced by the Copyright: © 2022 by the authors. Li-
censee MDPI, Basel, Switzerland. This article is an open access article
distributed under the terms and con-
ditions of the Creative Commons At-
tribution (CC BY) license (https://cre-
ativecommons.org/licenses/by/4.0/). www.mdpi.com/journal/sustainability Sustainability 2022, 14, 5771. https://doi.org/10.3390/su14105771 Sustainability 2022, 14, 5771 2 of 21 2 of 21 FAO (Food and Agriculture Organization) and is considered a benchmark model for ETo
computation [6]. The FAO-56 PM model requires numerous climatic parameters to esti-
mate ETo, which are often incomplete or unavailable, especially in developing countries
[7,8]. Hence, the best possible alternatives are necessary to implement, requiring less cli-
matic data for ETo estimation [9]. In the last decade, the aforesaid issues have been tackled by the ML models to esti-
mate ETo with limited climatic variables on different time scales [10–13]. Some of the ML
models such as SVM, RF, M5P, ELM (extreme learning machine), ANN (artificial neural
network), ANFIS (adaptive neuro-fuzzy inference system), XGBoost (extreme gradient
boosting), MARS (multivariate adaptive regression splines), and GEP (gene expression
programming) received the massive application in ETo estimation [14–19]. The results of
these studies report the better performance of ML models in comparison to empirical
models. Apart from that, the ML models have become popular in modelling watershed
hydrology [20,21]. Furthermore, Ashrafzadeh et al. [22] employed the SVM, GMDH
(group method of data handling), and SARIMA (seasonal autoregressive integrated mov-
ing average) techniques to estimate the monthly ETo in the Guilan Plain of Northern Iran. They noted the better feasibility of the SVM, GMDH, and SARIMA models in the study
region. Chen et al. [28] optimized the ELM with three nature-inspired algorithms, namely PSO, MFO (moth–
flame optimization), and WOA (whale optimization algorithm) for estimating daily ETo
at the Sibu, Miri, and Sandakan sites (Malaysia). Results showed that the ELM-WOA mod-
els outperformed the other models at all locations with RMSE of 0.0011 to 0.1927 mm/day,
MAE of 0.0007 to 0.1443 mm/day, and R2 (determination coefficient) of 0.9486 to 1.0000. Sustainability 2022, 14, 5771 3 of 21 However, these studies also support the better viability of the ML models enhanced with
numerous nature-inspired algorithms. From the above-mentioned literature, it was noted that several studies have been
conducted on ETo estimation on different time scales in different climates. However, ac-
cording to our knowledge, so far, the support vector machine (SVM), M5P model tree
(M5P), random forest (RF), and empirical models (i.e., Valiantzas-1, Valiantzas-2, Valian-
tzas-3) were not used for monthly ETo estimation at the Nagina and Pantnagar stations. Thus, this study was optimized with the specific objectives as (i) to formulate the three
ML models, i.e., SVM, M5P, and RF, for monthly ETo estimation at both locations, and (ii)
to compare the efficacy of three ML models against the empirical models based on statis-
tical and graphical investigations. Moreover, the SVM model has better generalization
ability than other ML models [29]. It is also highly robust to outliers [30]. Therefore, it is
expected that the SVM can provide a better estimation of ETo, which is highly complex
and contains a large number of outliers. ETo is one of the complex and vital hydrological
variables, so this way of simulation will improve the estimation accuracy of ETo and will
help in maintaining the agricultural water resources management operation for control-
ling the increasing water stress in agriculture caused by global ecological fluctuations. 2.1. Study Site and Data Information 2.1. Study Site and Data Information Figure 1 demonstrates the location map of the Nagina and Pantnagar stations posi-
tioned in Uttar Pradesh and Uttarakhand States of India. The monthly climatic data of
mean air temperature (T, °C), relative humidity (RH, %), wind speed (u, m/s), and solar
radiation (Rs, MJ/m2/month) of Nagina and Pantnagar from 2009 to 2016 (8-year) were
collected from the Rice Research Station of Bijnor district in Uttar Pradesh State (India),
and the CRC (Crop Research Centre, Pantnagar, India) of the G.B. Pant University of Ag-
riculture and Technology, Uttarakhand State. The 8-year monthly climatic data of both
sites was portioned into two phases: (i) a calibration phase that includes 60% data from
2009–2013, and (ii) a validation phase that contains 40% data from 2014–2016 for evalua-
tion of machine learning against empirical models. Likewise, Table 1 summarizes the in-
formation about the geographical coordinates and descriptive statistics, i.e., minimum,
maximum, mean, standard deviation, skewness, and kurtosis, of both stations from 2009
to 2016. It was noted from Table 1 that the maximum ETo variation was of 6.76 mm/month
at Nagina and 7.68 mm/month at Pantnagar. 4 of 21 Sustainability 2022, 14, 5771 Figure 1. Location map of study sites. Table 1. Statistical and geographical information of study sites. Station
Statistical
Properties
Climatic Variables
Geographical Properties
T (oC)
RH (%)
u (m/s)
Rs
(MJ/m2/month)
ETo
(mm/month)
Longitude (E)
Latitude (N)
Altitude (m)
Climatic Data
(Year)
Nagina
Minimum
10.900
24.600
0.278
8.300
1.140
78°25′59″
29°26′35″
282.0
2009–2016
Maximum
33.000
88.000
1.946
25.000
6.760
Mean
22.994
71.965
1.049
17.089
3.572
Standard deviation
6.412
11.891
0.422
4.611
1.573
Skewness
−0.393
−1.235
0.210
−0.035
0.255
Kurtosis
−1.274
1.667
−0.925
−0.989
−0.958
Pantnagar
Minimum
11.450
41.500
0.584
8.200
1.240
79°38′00″
29°00′00″
243.8
2009–2016
Maximum
33.000
86.500
2.752
24.700
7.680
Mean
23.609
67.839
1.415
16.634
3.831
Standard deviation
6.204
11.303
0.527
4.413
1.692
Skewness
−0.433
−0.721
0.375
−0.064
0.459
Kurtosis
−1.255
−0.473
−0.435
−0.818
−0.629 Figure 1. Location map of study sites. Figure 1. Location map of study sites. Table 1. Statistical and geographical information of study sites. Table 1. Statistical and geographical information of study sites. 2.1. Study Site and Data Information Model
Equation
Reference
V-1
𝐸𝑇𝑜= 0.0393𝑅𝑠√𝑇+ 9.5 −0.19𝑅𝑠
0.6𝜑0.15 + 0.048(𝑇+ 20) (1 −𝑅𝐻
100) 𝑢2
0.7
[31,32]
V-2
𝐸𝑇𝑜= 0.0393𝑅𝑠√𝑇+ 9.5 −0.19𝑅𝑠
0.6𝜑0.15 + 0.078(𝑇+ 20) (1 −𝑅𝐻
100)
[31,32]
V-3
𝐸𝑇𝑜= 0.0393𝑅𝑠√𝑇+ 9.5 −0.19𝑅𝑠
0.6𝜑0.15 + 0.0061(𝑇+ 20)(1.12𝑇−𝑇𝑚𝑖𝑛−2)0.7
[31,32]
Note: T = mean air temperature (°C), 𝑢2 = wind speed at 2 m height above ground (m/s), 𝜑 = lati-
tude of site (rad), and 𝑇𝑚𝑖𝑛 = minimum temperature (°C). Table 2. Formulas of empirical models used at study sites. Model
Equation
Reference
V-1
𝐸𝑇𝑜= 0.0393𝑅𝑠√𝑇+ 9.5 −0.19𝑅𝑠
0.6𝜑0.15 + 0.048(𝑇+ 20) (1 −𝑅𝐻
100) 𝑢2
0.7
[31,32]
V-2
𝐸𝑇𝑜= 0.0393𝑅𝑠√𝑇+ 9.5 −0.19𝑅𝑠
0.6𝜑0.15 + 0.078(𝑇+ 20) (1 −𝑅𝐻
100)
[31,32]
V-3
𝐸𝑇𝑜= 0.0393𝑅𝑠√𝑇+ 9.5 −0.19𝑅𝑠
0.6𝜑0.15 + 0.0061(𝑇+ 20)(1.12𝑇−𝑇𝑚𝑖𝑛−2)0.7
[31,32]
Note: T = mean air temperature (°C), 𝑢2 = wind speed at 2 m height above ground (m/s), 𝜑 = lati-
tude of site (rad), and 𝑇𝑚𝑖𝑛 = minimum temperature (°C). Table 2. Formulas of empirical models used at study sites. Table 2. Formulas of empirical models used at study sites. 2.3. Penman-Monteith Model The present study utilized the Penman–Monteith (PM) model given by the Food and
Agricultural Organization, with No. 56 designated as FAO-56 PM to compute the monthly
ETo values at both study sites and written as [6]: 𝐸𝑇𝑜=
0.408∆(𝑅𝑛−𝐺) + 𝛾
900
𝑇+ 273 𝑢2(𝑒𝑠−𝑒𝑎)
∆+ 𝛾(1 + 0.34𝑢2)
(1) (1) where 𝐸𝑇𝑜 = reference evapotranspiration in mm/month, ∆ = slope of saturation vapor
pressure in kPa/°C, 𝑅𝑛 = net radiation in MJ/m2/month, 𝐺 = soil heat flux density in
MJ/m2/month, 𝛾 = psychrometric constant in kPa/°C, and 𝑒𝑠 and 𝑒𝑎 = saturation and ac-
tual vapor pressures in kPa. The computed time-series values of monthly ETo by the FAO-
56 PM model were considered as reference data to appraise the performance of the em-
pirical models (i.e., V-1 to V-3) and ML models (i.e., SVM, M5P, and RF). 2.1. Study Site and Data Information The computed time-series values of monthly ETo by the FAO-
56 PM model were considered as reference data to appraise the performance of the em-
pirical models (i.e., V-1 to V-3) and ML models (i.e., SVM, M5P, and RF). 2.4. Support Vector Machine
Over time, for optimizing the nonlinear problems, the ML models, including the sup-
port vector machine (SVM), have been utilized in numerous fields such as for predicting
the penetration rate of tunnel-boring machines [33], solar radiation prediction [34],
streamflow forecasting [35], landslide hazard modelling [36–38], seawater level simula-
tion [39], forecasting electric load [40], and infiltration simulation [41,42]. The SVM ap-
proach was recommended by Vapnik [43] and derived from statistical learning theory to
solve classification and regression problems [44]. Figure 2 displays the typical assembly
of the SVM model. The SVM technique applied the SRM (structural risk minimization)
principle [45]. The SVM model utilized a nonlinear mapping function (𝜙(𝑥)) to project
the calibration (or training) data points into a high-dimensional feature space, and the
following linear regression function is obtained in the feature space [45]:
𝑧 = 𝑓(𝑥) = 𝑤∙𝜙(𝑥) + 𝑏
(2)
where 𝑧 = output of SVM, 𝑥 = input of SVM (𝑥1, 𝑥2, … , 𝑥𝑙), 𝑓(𝑥) = loss function, 𝑤 =
weight vector of high-dimensional feature space, and 𝑏 = constant. Following the princi-
ple of SRM, accepting the ε-insensitive loss function, the minimal 𝑤 is updated for re- 2.2. Empirical Models
Valiantzas [31,32] proposed three versions of empirical models, namely (i) Valian-
tzas-1 (V-1) with a complete set of climatic data i.e., T, RH, u, and Rs, (ii) Valiantzas-2 (V-
2) without wind speed data i.e., T, RH, and Rs, and (iii) Valiantzas-3 (V-3) without relative
humidity and wind speed data, i.e., T, and Rs for computation of reference evapotranspi-
ration (ETo). The mathematical expression of V-1 to V-3 is given in Table 2. p
Valiantzas [31,32] proposed three versions of empirical models, namely (i) Valian-
tzas-1 (V-1) with a complete set of climatic data i.e., T, RH, u, and Rs, (ii) Valiantzas-2 (V-
2) without wind speed data i.e., T, RH, and Rs, and (iii) Valiantzas-3 (V-3) without relative
humidity and wind speed data, i.e., T, and Rs for computation of reference evapotranspi-
ration (ETo). The mathematical expression of V-1 to V-3 is given in Table 2. Table 2. Formulas of empirical models used at study sites. 2.1. Study Site and Data Information a
e
g
g
p
y
Station
Statistical
Properties
Climatic Variables
Geographical Properties
T (oC)
RH (%)
u (m/s)
Rs
(MJ/m2/month)
ETo
(mm/month)
Longitude (E)
Latitude (N)
Altitude (m)
Climatic Data
(Year)
Nagina
Minimum
10.900
24.600
0.278
8.300
1.140
78°25′59″
29°26′35″
282.0
2009–2016
Maximum
33.000
88.000
1.946
25.000
6.760
Mean
22.994
71.965
1.049
17.089
3.572
Standard deviation
6.412
11.891
0.422
4.611
1.573
Skewness
−0.393
−1.235
0.210
−0.035
0.255
Kurtosis
−1.274
1.667
−0.925
−0.989
−0.958
Pantnagar
Minimum
11.450
41.500
0.584
8.200
1.240
79°38′00″
29°00′00″
243.8
2009–2016
Maximum
33.000
86.500
2.752
24.700
7.680
Mean
23.609
67.839
1.415
16.634
3.831
Standard deviation
6.204
11.303
0.527
4.413
1.692
Skewness
−0.433
−0.721
0.375
−0.064
0.459
Kurtosis
−1.255
−0.473
−0.435
−0.818
−0.629 Sustainability 2022, 14, 5771 5 of 21 2.2. Empirical Models
Valiantzas [31,32] proposed three versions of empirical models, namely (i) Valian-
tzas-1 (V-1) with a complete set of climatic data i.e., T, RH, u, and Rs, (ii) Valiantzas-2 (V-
2) without wind speed data i.e., T, RH, and Rs, and (iii) Valiantzas-3 (V-3) without relative
humidity and wind speed data, i.e., T, and Rs for computation of reference evapotranspi-
ration (ETo). The mathematical expression of V-1 to V-3 is given in Table 2. Table 2. Formulas of empirical models used at study sites. Model
Equation
Reference
V-1
𝐸𝑇𝑜= 0.0393𝑅𝑠√𝑇+ 9.5 −0.19𝑅𝑠
0.6𝜑0.15 + 0.048(𝑇+ 20) (1 −𝑅𝐻
100) 𝑢2
0.7
[31,32]
V-2
𝐸𝑇𝑜= 0.0393𝑅𝑠√𝑇+ 9.5 −0.19𝑅𝑠
0.6𝜑0.15 + 0.078(𝑇+ 20) (1 −𝑅𝐻
100)
[31,32]
V-3
𝐸𝑇𝑜= 0.0393𝑅𝑠√𝑇+ 9.5 −0.19𝑅𝑠
0.6𝜑0.15 + 0.0061(𝑇+ 20)(1.12𝑇−𝑇𝑚𝑖𝑛−2)0.7
[31,32]
Note: T = mean air temperature (°C), 𝑢2 = wind speed at 2 m height above ground (m/s), 𝜑 = lati-
tude of site (rad), and 𝑇𝑚𝑖𝑛 = minimum temperature (°C). 2.3. Penman-Monteith Model
The present study utilized the Penman–Monteith (PM) model given by the Food and
Agricultural Organization, with No. 56 designated as FAO-56 PM to compute the monthly
ETo values at both study sites and written as [6]:
𝐸𝑇𝑜=
0.408∆(𝑅𝑛−𝐺) + 𝛾
900
𝑇+ 273 𝑢2(𝑒𝑠−𝑒𝑎)
∆+ 𝛾(1 + 0.34𝑢2)
(1)
where 𝐸𝑇𝑜 = reference evapotranspiration in mm/month, ∆ = slope of saturation vapor
pressure in kPa/°C, 𝑅𝑛 = net radiation in MJ/m2/month, 𝐺 = soil heat flux density in
MJ/m2/month, 𝛾 = psychrometric constant in kPa/°C, and 𝑒𝑠 and 𝑒𝑎 = saturation and ac-
tual vapor pressures in kPa. 2.4. Support Vector Machine Over time, for optimizing the nonlinear problems, the ML models, including the sup-
port vector machine (SVM), have been utilized in numerous fields such as for predicting
the penetration rate of tunnel-boring machines [33], solar radiation prediction [34],
streamflow forecasting [35], landslide hazard modelling [36–38], seawater level simula-
tion [39], forecasting electric load [40], and infiltration simulation [41,42]. The SVM ap-
proach was recommended by Vapnik [43] and derived from statistical learning theory to
solve classification and regression problems [44]. Figure 2 displays the typical assembly
of the SVM model. The SVM technique applied the SRM (structural risk minimization)
principle [45]. The SVM model utilized a nonlinear mapping function (𝜙(𝑥)) to project
the calibration (or training) data points into a high-dimensional feature space, and the
following linear regression function is obtained in the feature space [45]: 𝑧 = 𝑓(𝑥) = 𝑤∙𝜙(𝑥) + 𝑏
(2) (2) where 𝑧 = output of SVM, 𝑥 = input of SVM (𝑥1, 𝑥2, … , 𝑥𝑙), 𝑓(𝑥) = loss function, 𝑤 =
weight vector of high-dimensional feature space, and 𝑏 = constant. Following the princi-
ple of SRM, accepting the ε-insensitive loss function, the minimal 𝑤 is updated for re-
solving the convex optimization problem as follows [29,45]: Sustainability 2022, 14, 5771 6 of 21 {
𝑚𝑖𝑛𝑖𝑚𝑖𝑧𝑒 = 1
2 ‖𝑤‖2 + 𝐶∑(𝑖+ 𝑖
∗)
𝑙
𝑖=1
𝑠𝑢𝑏𝑗𝑒𝑐𝑡 𝑡𝑜: {
𝑦𝑖−(𝑤∙𝜙(𝑥) + 𝑏) ≤𝜀+ 𝑖
(𝑤∙𝜙(𝑥) + 𝑏) −𝑦𝑖≤𝜀+ 𝑖
∗
𝑖, 𝑖
∗≥0, 𝑖= 1, 2, … , 𝑙
(3) (3) where 𝐶 = penalty factor, i, and i
∗ = slack variables, and ε = tube size insensitive con-
stant (Equation (3)). Next, the Lagrangian multiplier is used to resolve the dual convex
optimization problem in Equation (3), and the following solution is obtained: 𝐿(𝑤, 𝑏, 𝑖, 𝑖
∗, 𝑎𝑖, 𝑎𝑖
∗, 𝜂𝑖, 𝜂𝑖
∗)
= 1
2 ‖𝑤‖2 + 𝐶∑(𝑖+ 𝑖
∗)
𝑙
𝑖=1
−∑𝑎𝑖(𝑖+ 𝜀−𝑦𝑖+ 𝑤∙𝜙(𝑥𝑖) + 𝑏)
𝑙
𝑖=1
−∑𝑎𝑖
∗(𝑖
∗+ 𝜀+ 𝑦𝑖−𝑤∙𝜙(𝑥𝑖) −𝑏)
𝑙
𝑖=1
−∑(𝜂𝑖𝑖+ 𝜂𝑖
∗𝑖
∗)
𝑙
𝑖=1
(4) (4) where 𝑎𝑖, 𝑎𝑖
∗, 𝜂𝑖, and 𝜂𝑖
∗ = Lagrangian multipliers, which satisfy the non-negative con-
straints. 2.4. Support Vector Machine The Lagrangian function (𝐿) minimizes 𝑤, 𝑏, 𝑖, 𝑖
∗ and maximizes 𝑎𝑖, 𝑎𝑖
∗, 𝜂𝑖,
and 𝜂𝑖
∗ according to the Karush–Kuhn–Tucker condition, and finally the regression func-
tion of SVM can be obtained as: 𝑓(𝑥) = ∑(𝑎𝑖−𝑎𝑖
∗
𝑙
𝑖=1
) 𝑘(𝑥𝑖, 𝑥𝑗) + 𝑏
(5) (5) where 𝑘(𝑥𝑖, 𝑥𝑗) = kernel function (KF), i.e., 𝑘(𝑥𝑖, 𝑥𝑗) = (𝜙(𝑥𝑖) ∙𝜙(𝑥𝑗). The choice of an ap-
propriate kernel function improves the performance of the SVM model. A variety of KF
are available but the most reliable and efficient is the RBF (radial basis function) [37,46]. The RBF is expressed as [40]: 𝐾(𝑥𝑖, 𝑥𝑗) = 𝑒𝑥𝑝(−𝛾‖𝑥𝑖−𝑥𝑗‖
2) ,
𝛾> 0
(6) (6) where 𝑥𝑖 and 𝑥𝑗 = input space vectors, and 𝛾 = kernel parameter. The 𝐶 and 𝛾 are the
two most significant factors, which influence the accuracy of the SVM model. In the pre-
sent study, both factors were optimized through the hit-and-trail procedure (C = 2, and
= 0.1) for predicting monthly ETo at two study sites. Further exhaustive background about
the SVM can be gained from Vapnik [43], and Smola and Schölkopf [47]. 7 of 21 Sustainability 2022, 14, 5771 Figure 2. The architecture of the SVM model. Figure 2. The architecture of the SVM model. 2.5. M5P Tree The M5P tree is a data-mining technique, projected by Quinlan [48]. The association
among output (dependent)-input (independent) variables is established based on a binary
decision tree having a linear regression function at the leaf (terminal nodes). The divide-
and-conquer approach is applied to produce the tree-based models [49]. Figure 3 displays
the well-organized topology of the M5P tree model. The construction of a decision tree
involves two stages: step-1: splitting the data into subgroups to create the decision tree by
utilizing the principle of the standard deviation (std) and reducing the model training er-
ror at node [50], and step-2: pruning of the overfitted tree (sample) and swapping the
subtrees with linear regression functions [49]. Finally, the SDR (standard deviation reduc-
tion) is computed as [49,50]: 𝑆𝐷𝑅= 𝑠𝑡𝑑(𝑀) −∑|𝑀𝑗|
|𝑀| 𝑠𝑡𝑑(𝑀𝑗)
(7) (7) where 𝑀 defines a group of samples that grasps the nodes and 𝑀𝑖 signifies the sub-
group of samples that have the jth consequence of the latent set. In recent times, research-
ers have explored the successful application of the M5P model in the simulation of several
hydrological processes like drought forecasting [50], infiltration simulation [51], river dis-
charge forecasting [52,53], reference evapotranspiration estimation [49,54], stage-dis-
charge forecasting [55], and groundwater level prediction [56]. For comprehensive infor-
mation about the M5P tree, readers refer to Quinlan [48]. 8 of 21 Sustainability 2022, 14, 5771 Figure 3. Structure of the M5P model. 2.6. Random Forest
The random forest (RF) algorithm was designed by Breiman [57] for solving high-
dimension classification and regression problems. Recently, the RF model received popu-
larity in diverse fields of sciences such as, for instance, infiltration rate prediction [51],
land use/land cover classification [58], and soil temperature estimation [59]. Figure 4 illus-
trates the hierarchical network of the RF classifier. The construction of the RF model com-
prises two steps: (i) an ensemble of decision trees (or classifiers) used to build the “RF”
through supervised learning, and (ii) making predictions of each decision tree formed in
the first step. The RF algorithm is comparatively insensitive to features of the training set
and can achieve high prediction accuracy [57]. In the present study, the RF model was
built by using a trial-and-error process in WEKA 3.9 software for the prediction of
monthly ETo at both study locations. Figure 3. Structure of the M5P model. Figure 3. Structure of the M5P model. 2.6. Random Forest 2.6. Random Forest The random forest (RF) algorithm was designed by Breiman [57] for solving high-
dimension classification and regression problems. Recently, the RF model received popu-
larity in diverse fields of sciences such as, for instance, infiltration rate prediction [51],
land use/land cover classification [58], and soil temperature estimation [59]. Figure 4 illus-
trates the hierarchical network of the RF classifier. The construction of the RF model com-
prises two steps: (i) an ensemble of decision trees (or classifiers) used to build the “RF”
through supervised learning, and (ii) making predictions of each decision tree formed in
the first step. The RF algorithm is comparatively insensitive to features of the training set
and can achieve high prediction accuracy [57]. In the present study, the RF model was
built by using a trial-and-error process in WEKA 3.9 software for the prediction of
monthly ETo at both study locations. The random forest (RF) algorithm was designed by Breiman [57] for solving high-
dimension classification and regression problems. Recently, the RF model received popu-
larity in diverse fields of sciences such as, for instance, infiltration rate prediction [51],
land use/land cover classification [58], and soil temperature estimation [59]. Figure 4 illus-
trates the hierarchical network of the RF classifier. The construction of the RF model com-
prises two steps: (i) an ensemble of decision trees (or classifiers) used to build the “RF”
through supervised learning, and (ii) making predictions of each decision tree formed in
the first step. The RF algorithm is comparatively insensitive to features of the training set
and can achieve high prediction accuracy [57]. In the present study, the RF model was
built by using a trial-and-error process in WEKA 3.9 software for the prediction of
monthly ETo at both study locations. 9 of 21 9 of 21 Sustainability 2022, 14, 5771 Figure 4. Typical structure of the RF model. Figure 4. Typical structure of the RF model. Figure 4. Typical structure of the RF model. 2.7. Model Formulation and Statistical Indicators 2.7. Model Formulation and Statistical Indicators Different combinations of four climatic variables, namely T, RH, u, and Rs, were used
for the estimation of monthly ETo at two locations in the present research. Three combina-
tions of four inputs were formulated based on Valiantzas’ [31,32] concept and presented
in Table 3. All inputs are used for C-1, three inputs for C-2, and two inputs for C-3. All
three input combinations were used to train and test the ML models. Table 3. Different input combinations for the formulation of ML models at study sites. Table 3. Different input combinations for the formulation of ML models at study sites. Combination
Inputs
Output
ML Models
C-1
T, RH, u, Rs
ETo
SVM, M5P, RF
C-2
T, RH, Rs
ETo
SVM, M5P, RF
C-3
T, Rs
ETo
SVM, M5P, RF
Afterward, five statistical indicators, i.e., MAE (mean absolute error), RMSE (root-
mean-square error), EC (efficiency coefficient), CC (correlation coefficient), and WI (Will-
mott index), were utilized to evaluate the predictive efficacy of the empirical (i.e., V-1 to
V-3) and ML (i.e., SVM, M5P, RF) models used in the present study. Also, the graphical
inspection includes temporal variation graphs, scatter plots, and Taylor diagrams that
were used to make a clear interpretation of results yielded by the empirical and ML mod-
els. Table 4 shows the formulas of MAE, RMSE, EC, CC, and WI along with their range. Table 3. Different input combinations for the formulation of ML models at study sites. Combination
Inputs
Output
ML Models
C-1
T, RH, u, Rs
ETo
SVM, M5P, RF
C-2
T, RH, Rs
ETo
SVM, M5P, RF
C-3
T, Rs
ETo
SVM, M5P, RF Afterward, five statistical indicators, i.e., MAE (mean absolute error), RMSE (root-
mean-square error), EC (efficiency coefficient), CC (correlation coefficient), and WI (Will-
mott index), were utilized to evaluate the predictive efficacy of the empirical (i.e., V-1 to
V-3) and ML (i.e., SVM, M5P, RF) models used in the present study. Also, the graphical
inspection includes temporal variation graphs, scatter plots, and Taylor diagrams that
were used to make a clear interpretation of results yielded by the empirical and ML mod-
els. Table 4 shows the formulas of MAE, RMSE, EC, CC, and WI along with their range. 10 of 21 Sustainability 2022, 14, 5771 Table 4. Formulas of different performance indicators. 2.7. Model Formulation and Statistical Indicators Equation
Range
Reference
𝑀𝐴𝐸= ∑
|𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖−𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖|
𝑁
𝑖=1
𝑁
(0 < MAE < ∞)
[60,61]
𝑅𝑀𝑆𝐸= √∑
(𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖)2
𝑁
𝑖=1
𝑁
(0 < RMSE < ∞)
[62,63]
𝐸𝐶= 1 −[∑
(𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖)2
𝑁
𝑖=1
∑
(𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜𝑜𝑏𝑠
̅̅̅̅̅̅̅̅)2
𝑁
𝑖=1
]
(-∞ < EC < 1)
[64,65]
𝐶𝐶
=
∑
(𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜𝑜𝑏𝑠
̅̅̅̅̅̅̅̅) (𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖 − 𝐸𝑇𝑜𝑒𝑠𝑡
̅̅̅̅̅̅̅)
𝑁
𝑖=1
√∑
(𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜𝑜𝑏𝑠
̅̅̅̅̅̅̅̅)2 ∑
(𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖 − 𝐸𝑇𝑜𝑒𝑠𝑡
̅̅̅̅̅̅̅)2
𝑁
𝑖=1
𝑁
𝑖=1
(−1 < CC < 1)
[65,66]
𝑊𝐼
= 1 −[
∑
(𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖−𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖)2
𝑁
𝑖=1
∑
(|𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖 − 𝐸𝑇𝑜𝑜𝑏𝑠
̅̅̅̅̅̅̅̅| + |𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜𝑜𝑏𝑠
̅̅̅̅̅̅̅̅|)2
𝑁
𝑖=1
]
(0 < WI ≤ 1)
[67,68]
Note: 𝐸𝑇𝑜
𝑝𝑟𝑒,𝑖, and 𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖 = estimated and observed monthly reference evapotranspiration values
at an ith time step, N = number of observations. 𝐸𝑇𝑜
𝑜𝑏𝑠
̅̅̅̅̅̅̅̅, and 𝐸𝑇𝑜
𝑝𝑟𝑒
̅̅̅̅̅̅̅̅ = mean of observed and pre-
dicted monthly reference evapotranspiration. Table 4. Formulas of different performance indicators. Equation
Range
Reference
𝑀𝐴𝐸= ∑
|𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖−𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖|
𝑁
𝑖=1
𝑁
(0 < MAE < ∞)
[60,61]
𝑅𝑀𝑆𝐸= √∑
(𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖)2
𝑁
𝑖=1
𝑁
(0 < RMSE < ∞)
[62,63]
𝐸𝐶= 1 −[∑
(𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖)2
𝑁
𝑖=1
∑
(𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜𝑜𝑏𝑠
̅̅̅̅̅̅̅̅)2
𝑁
𝑖=1
]
(-∞ < EC < 1)
[64,65]
𝐶𝐶
=
∑
(𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜𝑜𝑏𝑠
̅̅̅̅̅̅̅̅) (𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖 − 𝐸𝑇𝑜𝑒𝑠𝑡
̅̅̅̅̅̅̅)
𝑁
𝑖=1
√∑
(𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜𝑜𝑏𝑠
̅̅̅̅̅̅̅̅)2 ∑
(𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖 − 𝐸𝑇𝑜𝑒𝑠𝑡
̅̅̅̅̅̅̅)2
𝑁
𝑖=1
𝑁
𝑖=1
(−1 < CC < 1)
[65,66]
𝑊𝐼
= 1 −[
∑
(𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖−𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖)2
𝑁
𝑖=1
∑
(|𝐸𝑇𝑜
𝑒𝑠𝑡,𝑖 − 𝐸𝑇𝑜𝑜𝑏𝑠
̅̅̅̅̅̅̅̅| + |𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖− 𝐸𝑇𝑜𝑜𝑏𝑠
̅̅̅̅̅̅̅̅|)2
𝑁
𝑖=1
]
(0 < WI ≤ 1)
[67,68]
Note: 𝐸𝑇𝑜
𝑝𝑟𝑒,𝑖, and 𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖 = estimated and observed monthly reference evapotranspiration values
at an ith time step, N = number of observations. 𝐸𝑇𝑜
𝑜𝑏𝑠
̅̅̅̅̅̅̅̅, and 𝐸𝑇𝑜
𝑝𝑟𝑒
̅̅̅̅̅̅̅̅ = mean of observed and pre-
dicted monthly reference evapotranspiration. Table 4. Formulas of different performance indicators. Table 4. Formulas of different performance indicators. Note: 𝐸𝑇𝑜
𝑝𝑟𝑒,𝑖, and 𝐸𝑇𝑜
𝑜𝑏𝑠,𝑖 = estimated and observed monthly reference evapotranspiration values
at an ith time step, N = number of observations. 𝐸𝑇𝑜
𝑜𝑏𝑠
̅̅̅̅̅̅̅̅, and 𝐸𝑇𝑜
𝑝𝑟𝑒
̅̅̅̅̅̅̅̅ = mean of observed and pre-
dicted monthly reference evapotranspiration. 3.1. Model Evaluation Based on Statistical Indicators 3.1. Model Evaluation Based on Statistical Indicators The potential of the ML models, i.e., SVM, M5P, and RF, was investigated against the
empirical models (i.e., V-1, V-2, and V-3) at the Nagina and Pantnagar stations based on
statistical indicators. These models were trained with 60% data (2009–2013) and tested
with 40% data (2014–2016) for both locations. The values of the statistical indicators (i.e.,
MAE, RMSE, EC, CC, and WI) of the empirical and ML models during the validation
phase on the Nagina and Pantnagar stations are presented through a heatmap (see Figures
5 and 6), respectively. For Nagina, from Figure 5 for input combination C-1 corresponding
to SVM-1, M5P-1, RF-1, and V-1 models, the values of MAE ranges from 0.076 to 0.210
mm/month, RMSE from 0.110 to 0.269 mm/month, EC from 0.995 to 0.970, CC from 0.998
to 0.986, and WI from 0.999 to 0.993 during the validation phase. For C-2 combination
equivalent to SVM-2, M5P-2, RF-2, and V-2 models the MAE = 0.106 to 0.392 mm/month,
RMSE = 0.201 to 0.504 mm/month, EC = 0.983 to 0.895, CC = 0.993 to 0.975, and WI = 0.996
to 0.975, and for C-3 combination matching to SVM-3, M5P-3, RF-3, and V-3 models the
MAE = 0.111 to 0.434 mm/month, RMSE = 0.148 to 0.500 mm/month, EC = 0.991 to 0.897,
CC = 0.996 to 0.988, and WI = 0.998 to 0.972 in the validation phase. It was noted from
Figure 5 that the performance of kernel-based models, i.e., SVM-1, SVM-2, and SVM-3,
was found to be more optimal than other models. Overall, on Nagina, the best estimation
was achieved by the SVM-1 model followed by the M5P-1 model. In addition, the perfor-
mance of the empirical models, i.e., V-1, V-2, and V-3, was found to be poor in comparison
to the ML models at the Nagina site. The ranking of the models from best to worst is
assigned as SVM-1, 2, 3 > M5P-1, 2, 3 > RF-1, 2, 3 > V-1, 2, 3, which are equivalent to C-1,
2, and 3 input combinations. 11 of 21 Sustainability 2022, 14, 5771 Figure 5. Heatmap of statistical indicators values produced by ML and empirical models corre-
sponding to C-1 to C-3 input combinations in the validation phase at the Nagina station. Figure 5. 3.1. Model Evaluation Based on Statistical Indicators Heatmap of statistical indicators values produced by ML and empirical models cor
sponding to C-1 to C-3 input combinations in the validation phase at the Nagina station. Figure 5. Heatmap of statistical indicators values produced by ML and empirical models corre-
sponding to C-1 to C-3 input combinations in the validation phase at the Nagina station. 12 of 21 Sustainability 2022, 14, 5771 Figure 6. Heatmap of statistical indicators values produced by ML and empirical models corre-
sponding to C-1 to C-3 input combinations in the validation phase at the Pantnagar station. Figure 6. Heatmap of statistical indicators values produced by ML and empirical models corre-
sponding to C-1 to C-3 input combinations in the validation phase at the Pantnagar station. Figure 6. Heatmap of statistical indicators values produced by ML and empirical models corre-
sponding to C-1 to C-3 input combinations in the validation phase at the Pantnagar station. Similarly, Figure 6 illustrates the statistical indicators of the SVM, M5P, RF, and Val-
iantzas models in monthly ETo estimation on Pantnagar during the validation period. Here also the SVM-1, SVM-2, and SVM-3 had the lowest values of MAE (0.047, 0.141, 0.168
mm/month) and RMSE (0.063, 0.180, 0.226 mm/month), and the highest values of EC
(0.999, 0.988, 0.981), CC (0.999, 0.995, 0.991), and WI (1.000, 0.997, 0.995), followed by the
M5P, RF, and Valiantzas models corresponding to input combinations C-1, C-2, and C-3. The SVM model corresponding to C-1 produces better estimates than other models. In
addition, the worst estimates were produced by the Valiantzas models. The models
ranked from best to worst as SVM-1 > M5P-1 > V-1 > RF-1 for C-1 (i.e., T, RH, u, Rs); SVM-
2 > M5P-2 > RF-2 > V-2 for C-2 (i.e., T, RH, Rs), and SVM-3 > M5P-3 > RF-3 > V-3 for C-3
(i.e., T, Rs). From this analysis, it is renowned that the SVM model with C-1 input combi-
nation including T, RH, u, and Rs climatic variables performed in a superior manner at
both study stations. 3.2. Performance Evaluation using Graphical Inspection The graphical inspection was another goodness-of-fit criterion for evaluating the rel-
ative performance of the ML and empirical models during the validation phases at both
stations. Figures 7a–c and 8a–c illustrates the temporal variation and scatter plots of ob-
served versus estimated monthly ETo values by the SVM, M5P, RF, and Valiantzas models
equivalent to C-1, C-2, and C-3 input combinations at the Nagina and Pantnagar sites,
respectively, during the validation phase. In these figures, the outputs of the four models
were fitted with a 1:1 line (best-fit line) with relative error bands of ±10%, and the coeffi-
cient of determination (R2) between the observed and model outputs was also presented Sustainability 2022, 14, 5771 13 of 21 on the plots. If the data are concentrated or close to the 1:1 line (black line) within ±10%
relative error bands, this indicates better performance of a model. These figures clearly
show the higher performance of the SVM model compared to other models during the
validation phase on both stations. In addition, the R2 value was found highest in the SVM-
1 model (0.995) for Nagina (Figure 7a), and 0.999 for Pantnagar (Figure 8a) in the valida-
tion stage, compared to other ML and empirical models. Overall, the SVM model can be
considered optimal in estimating monthly ETo in terms of the results presented in Figures
7a–c and 8a–c. (
)
g
(
g
)
g
(
g
)
tion stage, compared to other ML and empirical models. Overall, the SVM model can be
considered optimal in estimating monthly ETo in terms of the results presented in Figures
7a–c and 8a–c. Figure 7. Comparison of observed (FAO-56 PM) against estimated ETo values by the ML and Val-
iantzas models corresponding to (a) C-1, (b) C-2, and (c) C-3 input combinations during the valida-
tion stage at Nagina station. Figure 7. Comparison of observed (FAO-56 PM) against estimated ETo values by the ML and Val-
iantzas models corresponding to (a) C-1, (b) C-2, and (c) C-3 input combinations during the valida-
tion stage at Nagina station. 14 of 21 Sustainability 2022, 14, 5771 Figure 8. Comparison of observed (FAO-56 PM) against predicted ETo values by the ML and Val-
iantzas models corresponding to (a) C-1, (b) C-2, and (c) C-3 input combinations during the valida-
tion stage at Pantnagar station. 3.2. Performance Evaluation using Graphical Inspection The performance of the ML and empirical models was also evaluated using the Tay-
lor diagram [66]. The obtained result during the validation period is presented in Figures
9a–c and 10a–c for Nagina and Pantnagar, respectively. The red circle on the x-axis of the Figure 8. Comparison of observed (FAO-56 PM) against predicted ETo values by the ML and Val-
iantzas models corresponding to (a) C-1, (b) C-2, and (c) C-3 input combinations during the valida-
tion stage at Pantnagar station. Figure 8. Comparison of observed (FAO-56 PM) against predicted ETo values by the ML and Val-
iantzas models corresponding to (a) C-1, (b) C-2, and (c) C-3 input combinations during the valida-
tion stage at Pantnagar station. The performance of the ML and empirical models was also evaluated using the Tay-
lor diagram [66]. The obtained result during the validation period is presented in Figures
9a–c and 10a–c for Nagina and Pantnagar, respectively. The red circle on the x-axis of the
Taylor diagram represents the observed monthly ETo. A model is considered better if it is
near the observed point. Taylor’s diagram compares three statistics (i.e., RMSE, Std, and
CC) together in a graphical way and, therefore, provides a reliable assessment of the Sustainability 2022, 14, 5771 15 of 21 15 of 21 relative performance of different models. The Taylor diagram of the models during vali-
dation showed a much better performance of SVM compared to other models at the
Nagina (Figure 9a–c) and Pantnagar (Figure 10a–c) stations. In addition, the SVM-pre-
dicted monthly ETo was found better-correlated with the observed monthly ETo with less
RMSE compared to other models on both stations during the validation phase. Likewise,
the Std of SVM-predicted ETo was found much closer to observed ETo in comparison to
other models on both stations during the validation. Therefore, SVM can be ranked as the
best model in terms of the results presented in the Taylor diagram followed by the M5P,
RF, and Valiantzas models at both study sites. Figure 9. Taylor’s diagram of ML and empirical models corresponding to (a) C-1, (b) C-2, and (c) C-
3 input combinations during the validation stage at Nagina station. Figure 9. Taylor’s diagram of ML and empirical models corresponding to (a) C-1, (b) C-2, and (c) C-
3 input combinations during the validation stage at Nagina station. 16 of 21 Sustainability 2022, 14, 5771 Figure 10. 3.2. Performance Evaluation using Graphical Inspection Taylor’s diagram of ML and empirical models corresponding to (a) C-1, (b) C-2, and (c)
C-3 input combinations during the validation stage at Pantnagar station. Figure 10. Taylor’s diagram of ML and empirical models corresponding to (a) C-1, (b) C-2, and (c)
C-3 input combinations during the validation stage at Pantnagar station. 3.3. Discussion Evapotranspiration is a complex hydrological process that depends on the integrated
effect of several climatic variables [69]. It also governs the soil moisture, surface runoff,
plant growth, and groundwater recharge for optimizing the available water resources
[70]. Furthermore, it determines the processes responsible for land–atmosphere interac-
tion or formation of the geographical environment, and weather and climate change
through ground heat and moisture balance, and water balance and surface heat balance
studies [70–72]. Similarly, Seong et al. [73] projected the implications of different potential
evapotranspiration (PET) methods on streamflow under climate change in the Susque-
hanna River basin of the northeastern United States. They found that the streamflow pro-
jections are sensitive to the selection of the PET methods. So, the formulation of a reliable
and robust model of ETo estimation is necessary for maintaining water resources and ag-
ricultural operations on farmland under a changing climate. The ML models can handle
this issue very well. In this study, three ML models such as SVM, M5P, and RF were de-
veloped for monthly ETo estimation on two sites (Nagina and Pantnagar) and their out-
comes were compared with empirical models. The appraisal of results shows the better Sustainability 2022, 14, 5771 17 of 21 17 of 21 feasibility of the SVM over other models at both sites. Similarly, Kaya et al. [74] estimated
daily ETo in the Kosice City area of Slovakia by employing three ML models, i.e., MLP
(multilayer perceptron), SVR (support vector regression), and MLR (multi-linear regres-
sion). The daily data of wind speed, relative humidity, air temperature, and solar radia-
tion were supplied as input to these models. The performance of the ML models was eval-
uated against the empirical models (Hargreaves–Samani, Ritchie, & Turc), and it was
found that the ML-based models provide better results than the empirical models. Kisi et
al. [75] hybridized the M5 model tree with a radial basis function (RM5Tree) for estimating
daily ETo at three stations (Antalya, Adana, and Isparta) in Turkey using the daily record
of wind speed, relative humidity, air temperature, and solar radiation. The estimates of
the RM5Tree model were compared with M5Tree, MLP, RSM (response surface method),
and RBFNN (radial basis function neural network). Overall, they found the RM5Tree
model provides more optimal results than the other models. 3.3. Discussion Furthermore, the findings of this research were equated to other studies conducted
on ETo estimation by exploiting the ML techniques, for instance [1,9,22,76,77]. Tikhama-
rine et al. [11] optimized the SVR model with the WOA, MVO (multi-verse optimizer),
and ALO (ant-lion optimizer) algorithms to predict the monthly ETo at the Algiers and
Tlemcen weather stations located in north Algeria. They found better performance of the
SVR-WOA model with WI = 0.9987, 0.9997, CC = 0.9975, 0.9995, EC = 0.9949, 0.9989, RMSE
= 0.0808, 0.0617 mm/month, and MAE = 0.0658, 0.0489 for the Algiers and Tlemcen sites,
respectively. Gonzalez del Cerro et al. [78] compared the predictive performance of the
ANFIS against the radiation and temperature-based empirical models for estimating the
daily ETo in Tamil Nadu and the Coimbatore provinces of India. Results reveal that the
ANFIS-based model (MAE = 0.0008 mm/day, WI = 0.9999, and CC = 0.9999) with all cli-
matic data, i.e., mean air temperature, relative humidity, wind speed, and solar radiation
produce better estimates than the empirical models. Ahmadi et al. [79] estimated monthly
ETo on six stations located in Iran by exploiting three ML models, namely the SVR, GEP
(gene expression programming), SVR-IWD (intelligent water drops) against the Priestley–
Taylor, and H-S Hargreaves–Samani models. A comparison of results shows that the SVR-
IWD model outperformed the other models at all stations. To this end, the aforementioned studies also recommend the effectiveness of machine
learning models over the empirical models in predicting monthly ETo at both study loca-
tions. 4. Conclusions and A.M.; visualization, P.R., P.K., N.A.-A. and
A.M.; supervision, P.K., N.A.-A. and A.M.; project administration, N.A.-A.; funding acquisition,
N.A.-A. All authors have read and agreed to the published version of the manuscript. Author Contributions: Conceptualization, P.R. and A.M.; methodology, P.R. and A.M.; software,
P.R. and A.M.; validation, P.R., P.K., N.A.-A. and A.M.; formal analysis, P.R. and A.M.; investiga-
tion, P.R., P.K., N.A.-A. and A.M.; writing—original draft preparation, P.R., P.K., N.A.-A. and A.M.;
writing—review and editing, P.R., P.K., N.A.-A. and A.M.; visualization, P.R., P.K., N.A.-A. and
A.M.; supervision, P.K., N.A.-A. and A.M.; project administration, N.A.-A.; funding acquisition,
N.A.-A. 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. Conflicts of Interest: The authors declare no conflicts of interest. Conflicts of Interest: The authors declare no conflicts of interest. References Crop Evapotranspiration: Guidelines for Computing Crop Requirements. FAO
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6. Allen, R.G.; Pereira, L.S.; Raes, D.; Smith, M. 4. Conclusions The effectiveness of three machine learning models, such as the support vector ma-
chine (SVM), M5P tree (M5P), and random forest (RF), was investigated in predicting
monthly ETo on the Nagina and Pantnagar stations from 2009 to 2016 in the present study. From the available 8-year climatic data (2009–2016) at both stations, a total of three com-
binations of different inputs were established to calibrate (train) and validate (test) the ML
models over the empirical models (i.e., Valiantzas-1, Valiantzas-2, Valiantzas-3) based on
statistical indicators and graphical inspection. The results of the evaluation demonstrate
that the SVM models with the full set of climatic data, i.e., T, RH, u, and Rs, performed
superior to the M5P, RF, and Valiantzas models during the validation period at both lo-
cations under this study. In addition, the predictive accuracy of the SVM-1 to SVM-3 mod-
els with respect to RMSE improved 32.9% to 59.1%, 4.3% to 60.1%, and 23.7% to 70.4%, for
M5P-1 to M5P-3, RF-1 RF-3, and V-1 to V-3, respectively, on Nagina and 59.9% to 66.1%,
16.7% to 48.9%, and 19.6% to 47.6% for M5P-1 to M5P-3, RF-1 RF-3, and V-1 to V-3, respec-
tively, on Pantnagar. This percentage analysis also reveals the supremacy of the SVM
model in predicting monthly ETo at both sites under consideration. Furthermore, the per-
formance of the empirical models was recorded as poor at both sites in comparison to the
ML models. Overall, the findings of this research show that the ML models (i.e., SVM)
had better efficacy and will support the irrigation engineers, agriculturists, and Sustainability 2022, 14, 5771 18 of 21 18 of 21 hydrologists to formulate smart intelligence systems for optimal planning and manage-
ment of water resources at study sites. hydrologists to formulate smart intelligence systems for optimal planning and manage-
ment of water resources at study sites. Future research will evaluate ensemble machine learning models with different ra-
tios of training and testing datasets obtained from multi-locations of other climatic re-
gions. In addition, the geospatial techniques will be considered for mapping the impact
of reference evapotranspiration on a spatial scale. Author Contributions: Conceptualization, P.R. and A.M.; methodology, P.R. and A.M.; software,
P.R. and A.M.; validation, P.R., P.K., N.A.-A. and A.M.; formal analysis, P.R. and A.M.; investiga-
tion, P.R., P.K., N.A.-A. and A.M.; writing—original draft preparation, P.R., P.K., N.A.-A. and A.M.;
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Detecting the impact of temperature on transmission of Zika, dengue, and chikungunya using mechanistic models
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Permalink https://escholarship.org/uc/item/65t663ms UCLA
UCLA Previously Published Works
Title
Detecting the impact of temperature on transmission of Zika, dengue, and chik
using mechanistic models
Permalink
https://escholarship.org/uc/item/65t663ms
Journal
PLOS Neglected Tropical Diseases, 11(4)
ISSN
1935-2727
Authors
Mordecai, Erin A
Cohen, Jeremy M
Evans, Michelle V
et al.
Publication Date
2017
DOI
10.1371/journal.pntd.0005568
Peer reviewed UCLA
UCLA Previously Published Works
Title
Detecting the impact of temperature on transmission of Zika, dengue, and chik
using mechanistic models
Permalink
https://escholarship.org/uc/item/65t663ms
Journal
PLOS Neglected Tropical Diseases, 11(4)
ISSN
1935-2727
Authors
Mordecai, Erin A
Cohen, Jeremy M
Evans, Michelle V
et al. Publication Date
2017
DOI
10.1371/journal.pntd.0005568
Peer reviewed UCLA
UCLA Previously Published Works
Title
Detecting the impact of temperature on transmi
using mechanistic models
Permalink
https://escholarship.org/uc/item/65t663ms
Journal
PLOS Neglected Tropical Diseases, 11(4)
ISSN
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Authors
Mordecai, Erin A
Cohen, Jeremy M
Evans, Michelle V
et al. Publication Date
2017
DOI
10.1371/journal.pntd.0005568
Peer reviewed UCLA
UCLA Previously Published Works Title Title
Detecting the impact of temperature on transmission of Zika, dengue, and chikungunya
using mechanistic models RESEARCH ARTICLE Editor: Benjamin Althouse, Institute for Disease
Modeling, UNITED STATES Editor: Benjamin Althouse, Institute for Disease
Modeling, UNITED STATES
Received: January 18, 2017
Accepted: April 12, 2017
Published: April 27, 2017
Copyright: © 2017 Mordecai 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. Received: January 18, 2017
Accepted: April 12, 2017
Published: April 27, 2017 * emordeca@stanford.edu Detecting the impact of temperature on
transmission of Zika, dengue, and
chikungunya using mechanistic models Erin A. Mordecai1*, Jeremy M. Cohen2, Michelle V. Evans3, Prithvi Gudapati1, Leah
R. Johnson2,4, Catherine A. Lippi5, Kerri Miazgowicz6, Courtney C. Murdock3,6, Jason
R. Rohr2, Sadie J. Ryan5,7,8,9, Van Savage10,11, Marta S. Shocket1,12, Anna Stewart Ibarra13,
Matthew B. Thomas14, Daniel P. Weikel15 1 Biology Department, Stanford University, 371 Serra Mall, Stanford, CA, United States of America, 2
Department of Integrative Biology, University of South Florida, 4202 East Fowler Ave, SCA110 Tampa,
FL, United States of America, 3 Odum School of Ecology, University of Georgia, Athens, GA, United States
of America, 4 Department of Statistics, Virginia Polytechnic and State University, 250 Drillfield Drive
Blacksburg, VA, United States of America, 5 Department of Geography, University of Florida, Turlington Hall,
Gainesville, FL, United States of America, 6 Center for Tropical and Emerging Global Disease, Department of
Infectious Diseases, University of Georgia College of Veterinary Medicine, 501 D.W. Brooks Drive, Athens,
GA, United States of America, 7 Emerging Pathogens Institute, University of Florida, Gainesville, FL, United
States of America, 8 Center for Global Health and Translational Science, Department of Microbiology and
Immunology, Weiskotten Hall, SUNY Upstate Medical University, Syracuse, NY, United States of America, 9
School of Life Sciences, College of Agriculture, Engineering, and Science, University of KwaZulu Natal,
Private Bag X01, Scottsville, KwaZulu Natal, South Africa, 10 Department of Ecology and Evolutionary
Biology, University of California Los Angeles and Department of Biomathematics, University of California Los
Angeles, Los Angeles, CA, United States of America, 11 Santa Fe Institute, Santa Fe, NM, United States of
America, 12 Department of Biology, Indiana University, Jordan Hall 142, Bloomington, IN, United States of
America, 13 Center for Global Health and Translational Sciences, SUNY Upstate Medical University,
Syracuse, NY, United States of America, 14 Department of Entomology and Center for Infectious Disease
Dynamics, Penn State University, 112 Merkle Lab, University Park, PA, United States of America, 15
Department of Biostatistics, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, United States
of America OPEN ACCESS Citation: Mordecai EA, Cohen JM, Evans MV,
Gudapati P, Johnson LR, Lippi CA, et al. (2017)
Detecting the impact of temperature on
transmission of Zika, dengue, and chikungunya
using mechanistic models. PLoS Negl Trop Dis 11
(4): e0005568. https://doi.org/10.1371/journal. pntd.0005568 Editor: Benjamin Althouse, Institute for Disease
Modeling, UNITED STATES Powered by the California Digital Library
University of California eScholarship.org Temperature predicts Zika, dengue, and chikungunya transmission https://www.nih.gov/), US Department of
Agriculture (2009-35102-0543; https://www.usda. gov/wps/portal/usda/usdahome) and US
Environmental Protection Agency (CAREER
83518801; https://www.epa.gov/). EAM and CCM
were supported by the NSF (DEB-1640780; https://
nsf.gov/). EAM was supported by the Stanford
Woods Institute for the Environment (https://
woods.stanford.edu/research/environmental-
venture-projects) and the Stanford Center for
Innovation in Global Health (http://globalhealth. stanford.edu/research/seed-grants.html). The
funders had no role in study design, data collection
and analysis, decision to publish, or preparation of
the manuscript. Abstract Recent epidemics of Zika, dengue, and chikungunya have heightened the need to understand
the seasonal and geographic range of transmission by Aedes aegypti and Ae. albopictus mos-
quitoes. We use mechanistic transmission models to derive predictions for how the probability
and magnitude of transmission for Zika, chikungunya, and dengue change with mean temper-
ature, and we show that these predictions are well matched by human case data. Across all
three viruses, models and human case data both show that transmission occurs between 18–
34˚C with maximal transmission occurring in a range from 26–29˚C. Controlling for population
size and two socioeconomic factors, temperature-dependent transmission based on our
mechanistic model is an important predictor of human transmission occurrence and inci-
dence. Risk maps indicate that tropical and subtropical regions are suitable for extended sea-
sonal or year-round transmission, but transmission in temperate areas is limited to at most
three months per year even if vectors are present. Such brief transmission windows limit the
likelihood of major epidemics following disease introduction in temperate zones. Copyright: © 2017 Mordecai 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 data, code, and
outputs are available on Figshare: https://figshare. com/s/b79bc7537201e7b5603f, DOI: https://dx. doi.org/10.6084/m9.figshare.4563928 Funding: EAM, MBT, VS, SJR, LRJ, ASI, JRR, MS,
JC, and DPW were supported by the National
Science Foundation (DEB-1518681; https://nsf. gov/). JRR was supported by the NSF (EF-
1241889; https://nsf.gov/), National Institutes of
Health (R01GM109499 and R01TW010286-01; 1 / 18 PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 Author summary Understanding the drivers of recent Zika, dengue, and chikungunya epidemics is a
major public health priority. Temperature may play an important role because it affects
virus transmission by mosquitoes, through its effects on mosquito development, sur-
vival, reproduction, and biting rates as well as the rate at which mosquitoes acquire and
transmit viruses. Here, we measure the impact of temperature on transmission by two
of the most common mosquito vector species for these viruses, Aedes aegypti and Ae. albopictus. We integrate data from several laboratory experiments into a mathematical
model of temperature-dependent transmission, and find that transmission peaks at 26–
29˚C and can occur between 18–34˚C. Statistically comparing model predictions with
recent observed human cases of dengue, chikungunya, and Zika across the Americas
suggests an important role for temperature, and supports model predictions. Using the
model, we predict that most of the tropics and subtropics are suitable for transmission
in many or all months of the year, but that temperate areas like most of the United
States are only suitable for transmission for a few months during the summer (even if
the mosquito vector is present). Competing interests: The authors have declared
that no competing interests exist. Temperature predicts Zika, dengue, and chikungunya transmission and Ae. albopictus that are (a) mechanistic, facilitating extrapolation beyond the current dis-
ease distribution, (b) parameterized with biologically accurate unimodal thermal responses for
all mosquito and virus traits that drive transmission, and (c) validated against human dengue,
chikungunya, and Zika case data across the Americas. We synthesize available data to characterize the temperature-dependent traits of the mos-
quitoes and viruses that determine transmission intensity. With these thermal responses, we
develop mechanistic temperature-dependent virus transmission models for Ae. aegypti and
Ae. albopictus. We then ask whether the predicted effect of temperature on transmission is
consistent with patterns of actual human cases over space and time. To do this, we validate the
models with DENV, CHIKV, and ZIKV human incidence data at the country scale in the
Americas from 2014–2016. To isolate temperature dependence, we also statistically control for
population size and two socioeconomic factors that may influence transmission. If tempera-
ture fundamentally limits transmission potential, transmission should only occur at actual
environmental temperatures that are predicted to be suitable, and conversely, areas with low
predicted suitability should have low or zero transmission (i.e., false negative rates should
be low). By contrast, low transmission may occur even when temperature suitability is high
because other factors like vector control can limit transmission (i.e., the false positive rate
should be higher than the false negative rate). Finally, if the simple mechanistic model accu-
rately predicts climate suitability for transmission, then we can use it to map climate-based
transmission risk of DENV, CHIKV, ZIKV, and other emerging pathogens transmitted by Ae. aegypti and Ae. albopictus seasonally and geographically. Introduction Epidemics of dengue, chikungunya, and Zika are sweeping through the Americas, and are part
of a global public health crisis that places an estimated 3.9 billion people in 120 countries at
risk [1]. Dengue virus (DENV) distribution and intensity in the Americas has increased over
the last three decades, infecting an estimated 390 million people (96 million clinical) per year
[2]. Chikungunya virus (CHIKV) emerged in the Americas in 2013, causing 1.8 million sus-
pected cases from 44 countries and territories (www.paho.org). In the last two years, Zika virus
(ZIKV) has spread throughout the Americas, causing 764,414 suspected and confirmed cases,
with many more unreported (http://ais.paho.org/phip/viz/ed_zika_cases.asp, as of April 13,
2017). The growing burden of these diseases (including links between Zika infection and both
microcephaly and Guillain-Barre´ syndrome [3]) and potential for spread into new areas cre-
ates an urgent need for predictive models that can inform risk assessment and guide interven-
tions such as mosquito control, community outreach, and education. Predicting transmission of DENV, CHIKV, and ZIKV requires understanding the ecology
of the vector species. For these viruses the main vector is Aedes aegypti, a mosquito that prefers
and is closely affiliated with humans, while Ae. albopictus, a peri-urban mosquito, is an impor-
tant secondary vector [4,5]. We expect one of the main drivers of the vector ecology to be the
climate, particularly temperature. For that reason, mathematical and geostatistical models that
incorporate climate information have been valuable for predicting and responding to Aedes
spp. spread and DENV, CHIKV, and ZIKV outbreaks [5–10]. The effects of temperature on ectotherms are largely predictable from fundamental meta-
bolic and ecological processes. Survival, feeding, development, and reproductive rates predict-
ably respond to temperature across a variety of ectotherms, including mosquitoes [11,12]. Because these traits help to determine transmission rates, the effects of temperature on trans-
mission should also be broadly predictable from mechanistic models that incorporate temper-
ature-dependent traits. Here, we introduce a model based on this framework that overcomes
several major gaps that currently limit our understanding of climate suitability for transmis-
sion. Specifically, we develop models of temperature-dependent transmission for Ae. aegypti 2 / 18 PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 Temperature-dependent transmission Data gathered from the literature [9,13–30] revealed that all mosquito traits relevant to trans-
mission—biting rate, egg-to-adult survival and development rate, adult lifespan, and fecundity
—respond strongly to temperature and peak between 23˚C and 34˚C for the two mosquito
species (Ae. aegypti in Fig 1 and Ae. albopictus in Fig A in S1 Text). DENV extrinsic incubation
and vector competence peak at 35˚C [31–37] and 31–32˚C [31,32,34,38], respectively, in both
mosquitoes—temperatures at which mosquito survival is low, limiting transmission potential
(Fig 1, Fig A in S1 Text). Appropriate thermal response data were not available for CHIKV
and ZIKV extrinsic incubation and vector competence. We estimated the posterior distribution of R0(T) and used it to calculate key temperature
values that indicate suitability for transmission: the mean and 95% credible intervals (95% CI)
on the critical thermal minimum, maximum, and optimum temperature for transmission by
the two mosquito species. At constant temperatures, Ae. aegypti transmission peaked at 29.1˚C
(95% CI: 28.4–29.8˚C), and declined to zero below 17.8˚C (95% CI: 14.6–21.2˚C) and above
34.6˚C (95% CI: 34.1–35.6˚C) (Fig 2). Ae. albopictus transmission peaked at 26.4˚C (95% CI:
25.2–27.4˚C) and declined to zero below 16.2˚C (95% CI: 13.2–19.9˚C) and above 31.6˚C
(95% CI: 29.4–33.7˚C) (Fig 2). Overall, the thermal response curve for Ae. albopictus is shifted
towards lower temperatures than Ae. aegypti, so Ae. albopictus transmission is better suited to
cooler environments. For a more realistic scenario in which daily temperature ranged over
8˚C, the transmission peak, minimum, and maximum were slightly lower for both Ae. aegypti
(28.5˚C, 13.5˚C, 34.2˚C, respectively) and Ae. albopictus (26.1˚C, 11.9˚C, and 28.3˚C, respec-
tively). The lower thermal maximum under fluctuating temperatures occurs because we incor-
porated empirically supported irreversible lethal effects of temperatures that exceed thermal
maxima for survival (see Materials and Methods). PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 3 / 18 Temperature predicts Zika, dengue, and chikungunya transmission Fig 1. Thermal responses of Ae. aegypti and DENV traits that drive transmission (data sources listed in Table B in
S2 Text). Informative priors based on data from additional Aedes spp. and flavivirus studies helped to constrain uncertainty
in the model fits (see Materials and Methods; Table C in S2 Text). Points and error bars indicate the data means and
standard errors (for display only; models were fit from the raw data). Temperature-dependent transmission Solid lines: mean
posterior estimates; dashed lines: 95% credible intervals. R0 curves normalized to a 0–1 scale for ease of comparison and
visualization Fig 2. Relative R0 across constant temperatures (˚C; top) for Ae. albopictus (light blue) and Ae. aegypti (dark
blue), and histograms of the posterior distributions of the critical thermal minimum (bottom left), temperature at
peak transmission (bottom middle), and critical thermal maximum (bottom right; all in ˚C). Solid lines: mean
posterior estimates; dashed lines: 95% credible intervals. R0 curves normalized to a 0–1 scale for ease of comparison and
visualization. https://doi.org/10.1371/journal.pntd.0005568.g002 https://doi.org/10.1371/journal.pntd.0005568.g002 Temperature-dependent transmission Black solid lines are the mean model fits; red dashed
lines are the 95% credible intervals. Thermal responses for Ae. albopictus are shown in Fig A in S1 Text. https://doi.org/10.1371/journal.pntd.0005568.g001 Fig 1. Thermal responses of Ae. aegypti and DENV traits that drive transmission (data sources listed in Table B in
S2 Text). Informative priors based on data from additional Aedes spp. and flavivirus studies helped to constrain uncertainty
in the model fits (see Materials and Methods; Table C in S2 Text). Points and error bars indicate the data means and
standard errors (for display only; models were fit from the raw data). Black solid lines are the mean model fits; red dashed
lines are the 95% credible intervals. Thermal responses for Ae. albopictus are shown in Fig A in S1 Text. https://doi.org/10.1371/journal.pntd.0005568.g001 https://doi.org/10.1371/journal.pntd.0005568.g001 The posterior distribution of R0(T) allows us to evaluate uncertainty in key temperature val-
ues that define the transmission range, including critical thermal minimum, maximum, and
optimum. Uncertainty was higher for the critical thermal minimum for transmission than for
the maximum or optimum, and the two mosquito species overlapped most for this outcome
(Fig 2, bottom panels). This result occurred because several trait thermal responses increase
gradually from low to mid temperatures but decline more steeply at high temperatures (Fig 1),
so uncertainty is greatest at low temperatures. Ae. aegypti has a substantially higher optimum
and maximum temperature than Ae. albopictus (Fig 2) due to its greater rates of adult survival
at high temperatures (see Supplementary Materials for sensitivity analyses). PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 4 / 18 Temperature predicts Zika, dengue, and chikungunya transmission Fig 2. Relative R0 across constant temperatures (˚C; top) for Ae. albopictus (light blue) and Ae. aegypti (dark
blue), and histograms of the posterior distributions of the critical thermal minimum (bottom left), temperature at
peak transmission (bottom middle), and critical thermal maximum (bottom right; all in ˚C). Solid lines: mean
posterior estimates; dashed lines: 95% credible intervals. R0 curves normalized to a 0–1 scale for ease of comparison and
visualization. https://doi org/10 1371/journal pntd 0005568 g002 Fig 2. Relative R0 across constant temperatures (˚C; top) for Ae. albopictus (light blue) and Ae. aegypti (dark
blue), and histograms of the posterior distributions of the critical thermal minimum (bottom left), temperature at
peak transmission (bottom middle), and critical thermal maximum (bottom right; all in ˚C). Model validation Second we used a boot-
strapping approach where models were fit on subsets of the case incidence data that were
randomly sampled and then predictive accuracy of the competing models (Table D in S2 Text)
was assessed on left-out data (“out of sample” analysis). and population size. In the models of the probability of autochthonous transmission occurring
we used the product of the posterior probability that R0(T) > 0 (which we notate as GR0) and
the log of population size (p) to give log(p)GR0. (Here, and throughout, log denotes the natural
logarithm.) In the models of incidence, given that transmission does occur, we used the log of
the product of the posterior mean of R0(T) and population size, log(pR0(T)). To control for
several socioeconomic factors that might obscure the impact of temperature, we also included
log of gross domestic product (GDP) and log of percent of GDP in tourism (using logs because
the predictors were highly skewed, to stabilize variance). These are potential indicators of
investment in and/or success of vector control and infrastructure improvements that prevent
transmission. By comparing models that included the R0(T) metric alone, socioeconomic fac-
tors alone, or both, we tested whether R0(T) was an important predictor of observed transmis-
sion occurrence and incidence (see Table D in S2 Text). Note that R0(T) is out of sample for all
validation analyses because it is derived and calculated strictly from laboratory data on mos-
quitoes, and we perform a validation analyses for R0(T) using independent case incidence
reports. For this validation step we assessed model adequacy for the transmission data in two
ways. First we used the full dataset for case incidence reports to select the best model (Table D
in S2 Text) and to determine whether or not our predicted value of relative R0(T) based on lab-
oratory data was included in the model (“within sample” analysis). Second we used a boot-
strapping approach where models were fit on subsets of the case incidence data that were
randomly sampled and then predictive accuracy of the competing models (Table D in S2 Text)
was assessed on left-out data (“out of sample” analysis). For the probability of autochthonous transmission occurring, the model that included both
the R0(T) predictor and socioeconomic predictors had overwhelming support based on Bayes-
ian Information Criterion (BIC; model PA5 relative probability = 1, Table D in S2 Text). Model validation B, log(p*R0(T)) (log of R0(T) times the population
size) versus the log of incidence, given that it exceeds the threshold for local transmission. Tick-marks and points:
human transmission occurrence and incidence data, respectively, by country-week in the Americas and Caribbean. Lines and shaded areas: mean and 95% CI from GLM fits for DENV (blue) and CHIKV and ZIKV (red). For simplicity, we
show the models that only include the covariates log(p)*GR0 or log(p*R0(T)), respectively, and do not include the
socioeconomic covariates (models PA6 and IM4 in Table D in S2 Text). For each case report data point, log(p)*GR0 and
log(p*R0(T)) were calculated at the mean temperature 10 weeks prior to the reporting week [40]. https://doi.org/10.1371/journal.pntd.0005568.g003 ig 3. Ae. aegypti R0(T) and population size predict the probability and magnitude of transmission of DENV, and population size. In the models of the probability of autochthonous transmission occurring
we used the product of the posterior probability that R0(T) > 0 (which we notate as GR0) and
the log of population size (p) to give log(p)GR0. (Here, and throughout, log denotes the natural
logarithm.) In the models of incidence, given that transmission does occur, we used the log of
the product of the posterior mean of R0(T) and population size, log(pR0(T)). To control for
several socioeconomic factors that might obscure the impact of temperature, we also included
log of gross domestic product (GDP) and log of percent of GDP in tourism (using logs because
the predictors were highly skewed, to stabilize variance). These are potential indicators of
investment in and/or success of vector control and infrastructure improvements that prevent
transmission. By comparing models that included the R0(T) metric alone, socioeconomic fac-
tors alone, or both, we tested whether R0(T) was an important predictor of observed transmis-
sion occurrence and incidence (see Table D in S2 Text). Note that R0(T) is out of sample for all
validation analyses because it is derived and calculated strictly from laboratory data on mos-
quitoes, and we perform a validation analyses for R0(T) using independent case incidence
reports. For this validation step we assessed model adequacy for the transmission data in two
ways. First we used the full dataset for case incidence reports to select the best model (Table D
in S2 Text) and to determine whether or not our predicted value of relative R0(T) based on lab-
oratory data was included in the model (“within sample” analysis). Model validation We used generalized linear models (GLM) to ask whether the predicted relationship between
temperature and transmission, R0(T), was consistent with observed human cases of DENV,
CHIKV, and ZIKV. Specifically, we assessed whether R0(T) was an important predictor of the
probability of autochthonous transmission occurring and of the incidence given that transmis-
sion occurred. We also controlled for human population size, virus species, and two socioeco-
nomic factors. (Note that we focused on testing the R0(T) model, rather than on constructing
the best possible statistical model of human case data.) To do this, we used the version of the
Ae. aegypti R0(T) model that includes 8˚C daily temperature range, along with country-scale
weekly case reports of DENV, CHIKV, and ZIKV in the Americas and the Caribbean between
2014–2016. We first addressed the fact that countries with larger populations have greater
opportunities for (large) epidemics by creating two predictors that incorporate scaled R0(T) PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 5 / 18 Temperature predicts Zika, dengue, and chikungunya transmission Fig 3. Ae. aegypti R0(T) and population size predict the probability and magnitude of transmission of DENV,
CHIKV, and ZIKV across the Americas. A, log(p)*GR0 (the posterior probability that R0(T) > 0 times the log of
population size) versus the probability of local transmission in the data. B, log(p*R0(T)) (log of R0(T) times the population
size) versus the log of incidence, given that it exceeds the threshold for local transmission. Tick-marks and points:
human transmission occurrence and incidence data, respectively, by country-week in the Americas and Caribbean. Lines and shaded areas: mean and 95% CI from GLM fits for DENV (blue) and CHIKV and ZIKV (red). For simplicity, we
show the models that only include the covariates log(p)*GR0 or log(p*R0(T)), respectively, and do not include the
socioeconomic covariates (models PA6 and IM4 in Table D in S2 Text). For each case report data point, log(p)*GR0 and
log(p*R0(T)) were calculated at the mean temperature 10 weeks prior to the reporting week [40]. https://doi.org/10.1371/journal.pntd.0005568.g003 Fig 3. Ae. aegypti R0(T) and population size predict the probability and magnitude of transmission of DENV,
CHIKV, and ZIKV across the Americas. A, log(p)*GR0 (the posterior probability that R0(T) > 0 times the log of
population size) versus the probability of local transmission in the data. Temperature predicts Zika, dengue, and chikungunya transmission Fig B in S1 Text). In analyses of out-of-sample accuracy, models that included the R0(T) metric
(with or without the socioeconomic factors) were surprisingly accurate. They predicted the
probability of transmission with 86–91% out-of-sample accuracy for DENV (Table D in S2
Text). For CHIKV and ZIKV, models that included the R0(T) metric or population alone had
66–69% out-of-sample accuracy (Table D in S2 Text). There were no significant differences in
out-of-sample accuracy between the top four models, but for both DENV and CHIKV/ZIKV
the best model was significantly better than the worst model [see supplementary code in 39 for
full results]. The lower out-of-sample accuracy for CHIKV and ZIKV likely reflects the much
lower frequency of positive values and the lower total sample size of this dataset. All results
were similar for a set of models that separated GR0 from population size, so for simplicity we
show the model predictors that combines GR0 and population size here (see Table D in S2
Text and [39] for results of other models). Further, from a biological perspective, the combined
model better describes what we know about disease systems: if either the probability of R0(T)
being greater than zero is small or population size is very small, transmission is unlikely to
occur. Together, these analyses suggest that R0(T) is an important predictor of transmission
occurrence, but that CHIKV and ZIKV need further data to better explain the probability of
transmission occurrence (Fig 3A, Fig B in S1 Text). R0(T) was also an important predictor of incidence, given that autochthonous transmission
did occur. Within-sample, incidence was best predicted by the model that included both R0(T)
and the socioeconomic predictors (model IM5 in Table D in S2 Text) based on BIC (relative
probability = 1). The models that included R0(T) out-performed those that did not based on
deviance explained (Table D in S2 Text). In out-of-sample validation, the models that included
R0(T) explained the magnitude of incidence based on mean absolute percentage error (85–
86% accuracy versus 83% accuracy for models that did not include R0(T); Table D in S2 Text),
but this difference was not statistically significant. For illustration, we show the simpler model
that only contains the R0(T) predictor in the main text (Fig 3B; model IM1 in Table D in S2
Text). Notably, the models that contained R0(T) predicted incidence well for all three viruses,
despite the lower incidence of CHIKV and ZIKV. Although predicted R0(T) correlated with the observed occurrence and magnitude of
human incidence for all three viruses, these observed incidence metrics were higher for DENV
than for CHIKV and ZIKV. While the reason for this difference is unclear, the most likely
explanation is that DENV is much more established in the Americas, so it is more likely to be
detected, diagnosed, and reported. Because ZIKV and CHIKV are newly emerging, they may
not have fully saturated the region at this early stage. The ability of the model to explain the probability and magnitude of transmission is notable
given the coarse scale of the human incidence versus mean temperature data (i.e., country-
scale means), the lack of CHIKV- and ZIKV-specific trait thermal response data to inform the
model, the nonlinear relationship between transmission and incidence, and all the well-docu-
mented factors other than temperature that influence transmission. Together, these analyses
show simple mechanistic models parameterized with laboratory data on mosquitoes and den-
gue virus are consistent with observed temperature suitability for transmission. Moreover, the
similar responses of human incidence of ZIKV, CHIKV, and DENV to temperature suggest
that the thermal ecology of their shared mosquito vectors is a key determinant of outbreak
location, timing, and intensity. Model validation Based
on deviance explained, the models that included R0(T), with or without the socioeconomic
predictors out-performed the model that did not include R0(T) (Table D in S2 Text; Fig 3A, 6 / 18 PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 Mapping climate suitability for transmission Indeed, DENV, CHIKV, and/or ZIKV local transmission has occurred
in Texas, Florida, Hawaii, and Puerto Rico (www.cdc.gov). On the other hand, many temper-
ate regions experience temperatures suitable for transmission three months or less per year
(Fig 4). Temperature thus limits the potential for the viruses to generate extensive epidemics in
temperate areas even where the vectors are present. Moreover, many temperate regions with
seasonally suitable temperatures currently lack Ae. aegypti and Ae. albopictus mosquitoes, mak-
ing vector transmission impossible (Fig 4, black line). The posterior distribution of R0(T) also
allows us to map months of risk with different degrees of uncertainty (e.g., 97.5%, 50%, and
2.5% posterior probability that that R0 > 0), ranging from the most to least conservative (Fig D
in S1 Text). number of months per year at which mean temperatures do not prevent transmission, large
areas of tropical and subtropical regions, including Puerto Rico and parts of Florida and
Texas, are currently suitable year-round or seasonally (Fig 4). These regions are fundamentally
at risk for DENV, CHIKV, ZIKV, and other Aedes arbovirus transmission during a substantial
part of the year (Fig 4). Indeed, DENV, CHIKV, and/or ZIKV local transmission has occurred
in Texas, Florida, Hawaii, and Puerto Rico (www.cdc.gov). On the other hand, many temper-
ate regions experience temperatures suitable for transmission three months or less per year
(Fig 4). Temperature thus limits the potential for the viruses to generate extensive epidemics in
temperate areas even where the vectors are present. Moreover, many temperate regions with
seasonally suitable temperatures currently lack Ae. aegypti and Ae. albopictus mosquitoes, mak-
ing vector transmission impossible (Fig 4, black line). The posterior distribution of R0(T) also
allows us to map months of risk with different degrees of uncertainty (e.g., 97.5%, 50%, and
2.5% posterior probability that that R0 > 0), ranging from the most to least conservative (Fig D
in S1 Text). Mapping climate suitability for transmission The validated model can be used to predict where transmission is not excluded (posterior
probability that R0(T) > 0, a conservative estimate of transmission risk). Considering the 7 / 18 PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 Temperature predicts Zika, dengue, and chikungunya transmission Fig 4. Map of predicted temperature suitability for virus transmission by Ae. albopictus and Ae. aegypti. Color indicates the consecutive months in which temperature is permissive for transmission
(predicted R0 > 0) for Aedes spp. transmission based on the minimum likely range (> 97.5% posterior
probability that R0 > 0). Black lines indicate the CDC estimated range for the two Aedes spp. in the United
States. Model suitability predictions combine temperature mean and 8˚C daily variation and are informed by
laboratory data (Fig 1, Fig A in S1 Text) and validated against field data (Fig 3). https://doi.org/10.1371/journal.pntd.0005568.g004 Fig 4. Map of predicted temperature suitability for virus transmission by Ae. albopictus and Ae. aegypti. Color indicates the consecutive months in which temperature is permissive for transmission
(predicted R0 > 0) for Aedes spp. transmission based on the minimum likely range (> 97.5% posterior
probability that R0 > 0). Black lines indicate the CDC estimated range for the two Aedes spp. in the United
States. Model suitability predictions combine temperature mean and 8˚C daily variation and are informed by
laboratory data (Fig 1, Fig A in S1 Text) and validated against field data (Fig 3). https://doi.org/10.1371/journal.pntd.0005568.g004 Fig 4. Map of predicted temperature suitability for virus transmission by Ae. albopictus and Ae. aegypti. Color indicates the consecutive months in which temperature is permissive for transmission
(predicted R0 > 0) for Aedes spp. transmission based on the minimum likely range (> 97.5% posterior
probability that R0 > 0). Black lines indicate the CDC estimated range for the two Aedes spp. in the United
States. Model suitability predictions combine temperature mean and 8˚C daily variation and are informed by
laboratory data (Fig 1, Fig A in S1 Text) and validated against field data (Fig 3). https://doi.org/10.1371/journal.pntd.0005568.g004 https://doi.org/10.1371/journal.pntd.0005568.g004 number of months per year at which mean temperatures do not prevent transmission, large
areas of tropical and subtropical regions, including Puerto Rico and parts of Florida and
Texas, are currently suitable year-round or seasonally (Fig 4). These regions are fundamentally
at risk for DENV, CHIKV, ZIKV, and other Aedes arbovirus transmission during a substantial
part of the year (Fig 4). Temperature predicts Zika, dengue, and chikungunya transmission traits, and because the traits combine nonlinearly to drive transmission, the emergent relation-
ship between temperature and transmission is difficult to infer directly from field data or from
individual trait responses. Here, we present a model of temperature-dependent DENV,
CHIKV, and ZIKV transmission that advances on previous models because it is mechanistic,
fitted from experimental trait data (Fig 1, Fig A in S1 Text), and validated against independent
human case data at a broad geographic scale (Fig 3). CHIKV, and ZIKV transmission that advances on previous models because it is mechanistic,
fitted from experimental trait data (Fig 1, Fig A in S1 Text), and validated against independent
human case data at a broad geographic scale (Fig 3). Mechanistic understanding is valuable for extrapolating beyond the current spatial and
temporal range of transmission (Fig 4), as compared to environmental niche models, for
example [5,42,43]. Of the six previous mechanistic temperature-dependent models of DENV,
CHIKV, or ZIKV transmission by Ae. aegypti and Ae. albopictus that we were able to repro-
duce, three had similar thermal optima [7,44,45] while the other three had dramatically higher
optima (3–6˚C) [9,46] (Fig E in S1 Text). Two of the models were very similar to ours [44,45];
of the remaining four models, two predicted much greater suitability for transmission at low
temperatures [46] and all four predicted greater suitability at high temperatures [7,9,46] (Fig E
in S1 Text). Only one of these previous models was (like ours) statistically validated against
independent data not used to estimate model parameters, and its predictions were very similar
to those of our model [44]. Other mechanistic and environmental niche models could not be
directly compared with ours [5,10,41–43], either because fully reproducible equations, param-
eters, and/or code were not provided or because their predicted marginal effects of tempera-
ture were not displayed. Visually, our maps are similar to maps based on a previous model of
Ae. aegypti and Ae. albopictus persistence suitability indices [41]. Recent environmental niche
models of Zika distribution have shown similar but more constrained predicted distributions
of environmental suitability, in part because these models include not just temperature suit-
ability but also further environmental, socioeconomic, and demographic constraints
[5,42,43,47]. Discussion Temperature is an important driver of—and limitation on—vector transmission, so accurately
describing the temperature range and optimum for transmission of DENV, CHIKV, and
ZIKV is critical for predicting their geographic and seasonal patterns of spread [12,41]. We
directly estimated the temperature–transmission relationship using mechanistic transmission
models for each mosquito species (Fig 2). These models are built using empirical estimates of
the (unimodal) effects of temperature on mosquito and pathogen traits that drive transmis-
sion, including survival, development, reproduction, and biting rates (Fig 1, Fig A in S1 Text). Because these trait thermal responses are unimodal across the majority of ectotherm taxa and 8 / 18 PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 Temperature-sensitive R0 models We constructed temperature-dependent models of transmission using a previously developed
R0 framework. We modeled transmission rate as the basic reproduction rate, R0—the number
of secondary infections that would originate from a single infected individual introduced to a
fully susceptible population. In previous work on malaria, we adapted a commonly used
expression for R0 for vector transmission to include the temperature-sensitive traits that drive
mosquito population density [12]: R0 T
ð Þ ¼
aðTÞ
2 bðTÞ cðTÞ e mðTÞ=PDRðTÞ EFDðTÞ pEAðTÞ MDRðTÞ
N r mðTÞ
3
!1=2
ð1Þ ð1Þ Here, (T) indicates that the trait is a function of temperature, T; a is the per-mosquito biting
rate, b is the proportion of infectious bites that infect susceptible humans, c is the proportion
of bites on infected humans that infect previously uninfected mosquitoes (i.e., bc = vector
competence), μ is the adult mosquito mortality rate (lifespan, lf = 1/μ), PDR is the parasite de-
velopment rate (i.e., the inverse of the extrinsic incubation period, the time required between a
mosquito biting an infected host and becoming infectious), EFD is the number of eggs pro-
duced per female mosquito per day, pEA is the mosquito egg-to-adult survival probability, MDR
is the mosquito immature development rate (i.e., the inverse of the egg-to-adult development
time), N is the density of humans, and r is the human recovery rate. For each temperature-sensi-
tive trait in each mosquito species, we fit either symmetric (Quadratic, -c(T–T0)(T–Tm)) or
asymmetric (Brière, cT(T–T0)(Tm−T)1/2) unimodal thermal response models to the available
empirical data [48]. In both functions, T0 and Tm are respectively the minimum and maximum
temperature for transmission, and c is a positive rate constant. We consider a normalized version of the R0 equation such that it is rescaled to range from
zero to one with the value of one occurring at the unimodal peak. Although absolute values of
R0 that are used to determine when transmission is stable depend on additional factors not
captured in our model, the minimum and maximum temperatures for which R0 > 0 map
exactly onto our normalized equations, allowing us to accurately calculate whether or not
transmission should be possible at all. Empirical estimates of absolute values of R0 are difficult
to obtain in any case, but it is much easier to determine whether transmission is occurring and
for how long. Temperature predicts Zika, dengue, and chikungunya transmission yellow fever, Uganda S, or Ross River viruses). Efforts to extrapolate and to map temperature
suitability (Fig 4) will be critical for improving management of both ongoing and future
emerging epidemics. Mechanistic models like the one presented here are useful for extrapolat-
ing the potential geographic range of transmission beyond the current envelope of environ-
mental conditions in which transmission occurs (e.g., under climate change and for newly
invading pathogens). Accurately estimating temperature-driven transmission risk in both
highly suitable and marginal regions is critical for predicting and responding to future out-
breaks of these and other Aedes-transmitted viruses. Even though the thermal response data are imperfect—for example, CHIKV and ZIKV
thermal response data are missing—and the human case data are reported at a coarse spatial
scale, the validation analyses suggest that R0(T) is an important predictor of both the probabil-
ity of transmission occurring and the magnitude of incidence for DENV, CHIKV, and ZIKV. This has several key implications. First, temperature-dependent transmission is pervasive
enough to be detected at a coarse spatial scale. Second, dynamics of the mosquito predict trans-
mission for a suite of Ae. aegypti-transmitted viruses, without additional virus-specific infor-
mation. Third, climate and socio-economic factors combine to shape variation in incidence
across countries. Finally, these simple predictors explain a substantial proportion of the vari-
ance in both the probability and intensity of transmission. Predicting arbovirus transmission at a higher spatial resolution and precision will require
more detailed information on factors like the exposure and susceptibility of human popula-
tions, environmental variation (e.g., oviposition habitat availability, seasonal and daily temper-
ature variation), and socioeconomic factors. However, as a first step our mechanistic model
provides valuable insight because it makes broad predictions about suitable environmental
conditions for transmission, it is mechanistic and grounded in experimental trait data, it is val-
idated against independent human case data, and its predictions are applicable across three
different viruses. Using these thermal response models as a scaffold, additional drivers could
be incorporated to obtain more precise and specific predictions about transmission dynamics,
which could in turn be used for public health and vector control applications. For this purpose,
all code and data used in the models are available on Figshare [39]. The socio-ecological conditions that enabled CHIKV, ZIKV, and DENV to become the
three most important emerging vector-borne diseases in the Americas make the emergence of
additional Aedes-transmitted viruses likely (potentially including Mayaro, Rift Valley fever, PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 9 / 18 PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 Temperature predicts Zika, dengue, and chikungunya transmission choice of formula (Fig F in S1 Text). Similarly, because different expressions for R0, including
the square of Eq (1), map monotonically onto our function, they will produce identical esti-
mates for the temperatures at which transmission declines to zero and peaks (Fig F in S1 Text). Consequently, our use of relative R0 adequately describes the nonlinear relationship between
mosquito and virus traits and transmission. We fit the trait thermal responses in Eq (1) based on an exhaustive search of published labo-
ratory studies that fulfilled the criterion of measuring a trait at three or more constant temper-
atures, ideally capturing both the rise and the fall of each unimodal curve (Tables S1-S2). Constant-temperature laboratory conditions are required to isolate the direct effect of temper-
ature from confounding factors in the field and to provide a baseline for estimating the effects
of temperature variation through rate summation [50]. We attempted to obtain raw data from
each study, but if they were not available we collected data by hand from tables or digitized
data from figures using WebPlotDigitizer [51]. We obtained raw data from Delatte [19] and
Alto [21] for the Ae. albopictus egg-to-adult survival probability (pEA), mosquito development
rate (MDR), gonotrophic cycle duration (GCD, which we assumed was equal to the inverse of
the biting rate) and total fecundity (TFD) (Table D in S2 Text). Data did not meet the inclusion
criterion for CHIKV or ZIKV vector competence (b, c) or extrinsic incubation period (EIP) in
either Ae. albopictus or Ae. aegypti. Instead, we used DENV EIP and vector competence data,
combined with sensitivity analyses. Following Johnson et al. [52], we fit a thermal response for each trait using Bayesian mod-
els. We first fit Bayesian models for each trait thermal response using uninformative priors (T0
~ Uniform (0, 24), Tm ~ Uniform (25, 45), c ~ Gamma (1, 10) for Brière and c ~ Gamma (1, 1)
for Quadratic fits) chosen to restrict each parameter to its biologically realistic range (i.e., T0 <
Tm and we assumed that temperatures below 0˚C and above 45˚C were lethal). Any negative
values for all thermal response functions were truncated at zero, and thermal responses for
probabilities (pEA, b, and c) were also truncated at one. Temperature-sensitive R0 models While different model formulations for predicting R0 versus temperature can
produce results with different magnitudes and potentially different overall shapes [49], the
temperatures for which R0 is above or below zero (or one) are mostly model independent. For
instance, two competing models differ only by whether or not the formula in Eq (1) is squared,
but the square of a number (e.g., an absolute R0 value) greater than one is always greater than
one, and the square of a number less than one is always less than one. Therefore, the threshold
temperatures at which absolute R0 > 0 or absolute R0 > 1 will be exactly the same for either PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 10 / 18 Model validation with DENV, CHIKV, and ZIKV incidence data To validate the model, we used data on human cases of DENV, CHIKV, and ZIKV at the
country scale and mean temperature during the transmission window. Using statistical models
(as described below), we estimated the effects of predicted R0(T) on the probability of local
transmission and the magnitude of incidence, controlling for population size and several
socioeconomic factors. We downloaded and manually entered Pan American Health Organi-
zation (PAHO) weekly case reports for DENV and CHIKV for all countries in the Americas
(North, Central, and South America and the Caribbean Islands) from week 1 of 2014 to week 8
of 2015 for CHIKV and from week 52 of 2013 to week 47 of 2015 for DENV (www.paho.org). ZIKV weekly case reports for reporting districts (e.g., provinces) within Colombia, Mexico, El
Salvador, and the US Virgin Islands were available from the CDC Epidemic Prediction Initia-
tive (https://github.com/cdcepi/) from November 28, 2015 to April 2, 2016. We aggregated the
ZIKV data into country-level weekly case reports to match the spatial resolution of the DENV,
CHIKV, and covariate data. Incorporating daily temperature variation in transmission models Because organisms do not typically experience constant temperature environments in nature,
we incorporated the effects of temperature variation on transmission by calculating a daily
average R0 assuming a daily temperature range of 8˚C, across the range of mean temperatures. This range is consistent with daily temperature variation in tropical and subtropical environ-
ments but lower than in most temperate environments. At each mean temperature, we used a
Parton-Logan model to generate hourly temperatures and calculate each temperature-sensitive
trait on an hourly basis [56]. We assumed an irreversible high-temperature threshold above
which mosquitoes die and transmission is impossible [57,58]. We set this threshold based on
hourly temperatures exceeding the critical thermal maximum (Tm in Tables A-B in S1 Text)
for egg-to-adult survival or adult longevity by any amount for five hours or by 3˚C for one
hour. We averaged each trait over 24 hours to obtain a daily average trait value, which we used
to calculate relative R0 across a range of mean temperatures. We used this model in the valida-
tion against human cases (Fig 3) and the risk map (Fig 4). Temperature predicts Zika, dengue, and chikungunya transmission main model presented in the text (Fig 2). It is comparable to some but not all previous mecha-
nistic models for Ae. aegypti and Ae. albopictus transmission (Fig E in S1 Text). Results of our
main model, fit with informative priors, did not vary substantially from the model fit with
uninformative priors (Figs G-H in S1 Text). We modeled the observed data as aris-
ing from a normal distribution with the mean predicted by the thermal response function cal-
culated at the observed temperature, and the precision τ, (τ = 1/σ), distributed as τ ~ Gamma
(0.0001, 00001). We fit the models using Markov Chain Monte Carlo (MCMC) sampling in
JAGS, using the R [53] package rjags [54]. For each thermal response, we ran five MCMC
chains with a 5000-step burn-in and saved the subsequent 5000 steps. We thinned the poste-
rior samples by saving every fifth sample and used the samples to calculate R0 from 15–40˚C,
producing a posterior distribution of R0 versus temperature. We summarized the relationship
between temperature and each trait or overall R0 by calculating the mean and 95% highest pos-
terior density interval (HPD interval; a type of credible interval that includes the smallest con-
tinuous range containing 95% of the probability, as implemented in the coda package [55]) for
each curve across temperatures. We fit a second set of models for each mosquito species that used informative priors to
reduce uncertainty in R0 versus temperature and in the trait thermal responses. In these mod-
els, we used Gamma-distributed priors for each parameter T0, Tm, c, and τ fit from an addi-
tional ‘prior’ dataset of Aedes spp. trait data that did not meet the inclusion criteria for the
primary dataset (Table C in S2 Text). We found that these initial informative priors could have
an overly strong influence on the posteriors, in some cases drawing the posterior distributions
well away from the primary dataset, which was better controlled and met the inclusion criteria. We accounted for our lower confidence in this data set by increasing the variance in the infor-
mative priors, by multiplying all hyperparameters (i.e., the parameters of the Gamma distribu-
tions of priors for T0, Tm, and c) by a constant k to produce a distribution with the same mean
but 1/k times larger variance. We chose the value of k based on our relative confidence in the
prior versus main data. Thus we chose k = 0.5 for b, c, and PDR and k = 0.01 for lf. This is the PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 11 / 18 Temperature predicts Zika, dengue, and chikungunya transmission in each country that accurately represent weather conditions in the areas where transmission
occurs, excluding extreme areas where transmission is unlikely. For the study period of Octo-
ber 1, 2013 through April 30, 2016, we downloaded daily temperature data for each station
from Weather Underground using the weatherData package in R [59]. We removed all data
from Chile because it spans so much latitude and the terrain is so diverse that its country-level
mean is unlikely to be very representative of the temperature where an outbreak occurred. Socioeconomic covariate data We accessed available data on projected 2016 gross domestic product (GDP) for countries of
interest via the International Monetary Fund’s World Economic Outlook Database (http://
www.imf.org/external/ns/cs.aspx?id=28). The direct and total contributions of tourism to
GDP in 2016 were compiled from World Travel and Tourism Council economic impact
reports (http://www.wttc.org/research/economic-research/economic-impact-analysis/
country-reports/#undefined). We retrieved population size data for 2013–2015 from the
United Nations Population Division (https://esa.un.org/unpd/wpp/Download/Standard/
Population/) and averaged them across the three years for each country. Throughout the anal-
yses below, unless otherwise specified, we used the natural log of the population size and
of GDP as our predictors. We have two reasons for this choice. The first is that, intuitively,
the relative order of magnitude of the population/GDP is more important in determining
observed outbreak sizes or probabilities than their absolute sizes. Second, population sizes and
GDPs across countries tend to exhibit clumped patterns with a few outliers that are much
larger than the others. From a statistical perspective, using the un-transformed populations (or
GDPs) results in those few large/rich countries having very high leverage in the analysis, and
thus potentially skewing the results. Taking a log of the population better balances these pre-
dictors and is the standard accepted approach when using these kinds of predictors in regres-
sion models. Temperature data collection We matched the DENV, CHIKV, and ZIKV incidence data with temperature using daily
temperature data from METAR stations in each country, averaged at the country level by epi-
demic week. A previous study found a six-week lagged relationship between temperature and
oviposition for Aedes aegypti in Ecuador [40]. Assuming that the subsequent transmission, dis-
ease development, medical care-seeking, and case reporting in humans takes an additional
four weeks, we assumed a priori a ten-week lag between temperature and incidence (i.e., mean
temperature for the week that is ten weeks prior to each case report). METAR stations are
internationally standardized weather reporting stations that report hourly temperature and
precipitation measures. Outlier weather stations were excluded if they reported a daily maxi-
mum temperature below 5˚C or a daily minimum temperature above 40˚C during the study
period, extremes that would certainly eliminate the potential for transmission in a local area. Because case data are reported at the country level, we needed a collection of weather stations PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 12 / 18 PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 Temperature predicts Zika, dengue, and chikungunya transmission that we tested. As ZIKV is not as well established as either CHIKV or DENV at this time,
smaller numbers of cases may indicate autochthonous transmission. Consequently, we chose a
threshold of three cases for ZIKV (approximately half the CHIKV threshold). Further, the
results were fairly sensitive to the ZIKV threshold as many locations have small numbers of
cases. Since higher thresholds exclude a very large proportion of available case data making
analysis impossible, we used the slightly less conservative threshold of three cases for autoch-
thonous transmission of ZIKV. The resulting data consisted of zeros for no transmission and
positive case counts when transmission is presumed to be occurring. To model these data, we
used a hurdle model that first uses logistic regression on the presence/absence of local trans-
mission data to understand the factors correlated with local transmission occurring or not (PA
analysis). Then we modeled the log of incidence (number of new cases per reporting week) for
positive values with a gamma generalized linear models (incidence analysis). We were interested in understanding whether R0(T) was an important predictor of human
transmission occurrence and incidence, after controlling for potentially confounding factors
like population size and socioeconomic conditions. To do this, we fit a series of models with
different subsets of predictors that included R0(T) and population size, the socioeconomic var-
iables, or both (see Table D in S2 Text for full models). To control for human population size,
we created new metrics based on R0(T) and population size to use for validation against the
PAHO incidence data. We define GR0, which is the posterior probability that R0(T) > 0. We
use log(p)GR0, where p is the population size, as the relevant R0-based predictor for the PA
analysis. For the incidence analysis, we instead use log(pR0(T)) as the predictor. In all cases
log refers to the natural logarithm. For simplicity, we refer to these as the R0(T) metrics hereaf-
ter and in the Results. In both the PA and incidence analyses, we first used the full data sets to examine which of
the candidate models best described the data. Randomized quantile residuals indicated that
the logistic and gamma GLM models were performing adequately. We compared the approxi-
mate model probabilities, calculated from the BIC scores, as well as the proportion of deviance
explained (D2) from each model. Validation analyses with human incidence versus temperature datasets To validate the R0(T) model while controlling for population and socio-economic factors,
we used generalized linear models (GLMs) on the weekly case count data. Importantly, we
focused on testing whether the case counts were consistent with the transmission–temperature
relationship predicted from our model, rather than on maximizing the variation explained in
the statistical model. We are more specifically interested in understanding autochthonous
transmission (i.e., locally acquired, not just imported cases). We set country-level thresholds
for the number of cases defining autochthonous transmission for our three diseases separately,
based on current transmission understanding: seven cases of CHIKV, 70 cases of DENV, and
three cases of ZIKV. We derived these thresholds in the following way. First, we looked for
data on outbreaks of travel related cases in countries that are not expected to experience any
local transmission. For instance, in 2014 Canada experienced 320 confirmed, travel-related
cases of chikungunya (http://www.phac-aspc.gc.ca/publicat/ccdr-rmtc/15vol41/dr-rm41-01/
rapid-eng.php), equivalent to an average of more than six cases per week. Thus, to be conserva-
tive in our estimates, we set the threshold of transmission as seven cases/week for CHIKV. The
reported weekly cases of DENV transmission in our study sample are considerably higher than
for CHIKV (mean DENV incidence was nearly 100 times higher mean CHIKV incidence). We chose a moderately high threshold of 70 cases in a week (i.e., 10 times higher than the
CHIKV threshold based on Canadian cases) to reflect higher overall incidence and increased
potential for travel related cases. We examined the sensitivity of the results to choice of thresh-
old by varying it from 25 to 100, and we found qualitatively similar results for all thresholds PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
April 27, 2017 13 / 18 Temperature predicts Zika, dengue, and chikungunya transmission Supporting information S1 Text. Supplementary Results, References, and Figures A-O. (PDF) S2 Text. Supplementary Tables A-D. (PDF) S2 Text. Supplementary Tables A-D. (PDF) Mapping temperature suitability for transmission Using the validated model, we were interested in where the temperature was suitable for Ae. aegypti and/or Ae. albopictus transmission for some or all of the year to predict the potential
geographic range of outbreaks in the Americas. We visualized the minimum, median, and
maximum extent of transmission based on probability of occurrence thresholds from the R0
models for both mosquitoes. We calculated the number of consecutive months in which the
posterior probability of R0 > 0 exceeds a threshold of 0.025, 0.5, or 0.975 for both mosquito
species, representing the maximum, median, and minimum likely ranges, respectively. The
minimum range is shown in Fig 4 and all three ranges are overlaid in Fig D in S1 Text. This
analysis indicates the predicted seasonality of temperature suitability for transmission geo-
graphically, but does not indicate its magnitude. To generate the maps, we cropped monthly
mean temperature rasters from 1950–2000 for all twelve months (Worldclim; www.worldclim. org/) to the Americas (R, raster package, crop function) and assigned cells values of one or zero
depending on whether the probability that R0 > 0 exceeded the threshold at the temperatures
in those cells. We then synthesized the monthly grids into a single raster that reflected the max-
imum number of consecutive months where cell values equaled one. The resulting rasters
were plotted in ArcGIS 10.3, overlaying the three cutoffs (Fig D in S1 Text). We employed this
process for both mosquito species. Acknowledgments Barry Alto, Krijn Paaijmans, Francis Ezeakacha, and Helene Delatte kindly provided raw data
used in the analyses. We gratefully acknowledge the Centers for Disease Control and Preven-
tion Epidemic Predictions Initiative (CDC EPI) for collating and sharing the Zika incidence
data on GitHub (https://zenodo.org/record/48946#.Vz-EM2bb8ys). Next we examined the performance of the models in predict-
ing out of sample, for both PA and incidence analyses. To do this we created 1000 random par-
titions, where 90% of the data were used to train the model and 10% were used for testing. In
the PA analyses we classified each partition based on presence/absence, with separate classifi-
cation thresholds for DENV versus CHIKV/ZIKV as these grouping had much different prob-
abilities of occurrence. We assessed the performance of the model for the PA analysis based on
the mean misclassification rate. In the incidence analyses we assessed the model performance
based on the predictive mean absolute percentage error (MAPE). Since differences in predic-
tion success between the models in both the PA and incidence analyses were not statistically
significant, we present the simpler models that only include the R0(T) metrics in the main text
(Fig 3) and the models that additionally include socioeconomic covariates in the Supplemen-
tary Information (Figs B-C in S1 Text). We plotted the model predictions as a function of the
R0(T) metrics together with the observed data for the PA and incidence analyses using the R
package visreg [60]. The residuals of the incidence model exhibit “inverse trumpeting,” in which residual varia-
tion is larger at low than high predicted incidence (Fig I in S1 Text). This occurs in part
because we forced the model to go through the origin, i.e., no transmission when R0(T) or the
population size is equal to zero. However, the data did sometimes show transmission where we
did not expect it, potentially because of imported cases, errors in reporting, or small pockets of
transmission suitability in countries or times that are otherwise unsuitable on average. More
local-scale case reporting that separates autochthonous from travel-associated cases would be
needed to tease apart the source of this error. 14 / 18 PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0005568
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Gitelman Syndrome: A Rare Cause of Seizure Disorder and a Systematic Review
|
Case reports in medicine
| 2,019
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cc-by
| 6,954
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Muhammad Asim Shahzad
,1 Maryam Mukhtar,2 Asrar Ahmed,3 Waqas Ullah,3
Rehan Saeed,3 and Mohsin Hamid3 1Resident Physician, Louis Weiss Memorial Hospital, Chicago, IL, USA
2Independent Research Scholar, Fauji Foundation Hospital, Rawalpindi, Pakistan
3Resident Physician, Abington Hospital-Jefferson Health, Abington, PA, USA 1Resident Physician, Louis Weiss Memorial Hospital, Chicago, IL, USA
2Independent Research Scholar, Fauji Foundation Hospital, Rawalpindi, Pakistan
3Resident Physician, Abington Hospital-Jefferson Health, Abington, PA, USA Correspondence should be addressed to Muhammad Asim Shahzad; dr.asimshahzad786@gmail.com Received 26 August 2018; Revised 20 November 2018; Accepted 17 January 2019; Published 5 February 2019 Academic Editor: Masahiro Kohzuki Copyright © 2019 Muhammad Asim Shahzad et al. Tis isanopenaccessarticle distributed undertheCreative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Gitelman syndrome is one of the few inherited causes of metabolic alkalosis due to salt losing tubulopathy. It is caused by tubular
defects at the level of distal convoluted tubules, mimicking a thiazide-like tumor. It usually presents in late childhood or in teenage
as nonspecific weakness, fatigability, polyuria, and polydipsia but very rarely with seizures. It is classically associated with
hypokalemia, hypomagnesemia, hypocalciuria, hyperreninemia, and hyperaldosteronism. However, less frequently, it can present
with normal magnesium levels. It is even rarer to find normomagnesemic patients of GS who develop seizures as the main
complication since hypomagnesemia is considered the principal etiology of abnormal foci of seizure-related brain activity in GS
cases. Interestingly, patients with GS are oftentimes diagnosed during pregnancy when the classic electrolyte pattern consistent
with GS is noticed. Our case presents GS with normal serum magnesium in a patient, with seizures being the main clinical
presentation. We also did a comprehensive literature review of 122 reported cases to show the prevalence of normal magnesium in
GS cases and an overview of clinical and biochemical variability in GS. We suggest that further studies and in-depth analysis are
required to understand the pathophysiology of seizures in GS patients with both normal and low magnesium levels. 1. Materials and Methods appeared to be in pain. Review of the system was negative for
any previous episodes of seizures in the past, fever, diarrhea,
abdominal pain, history of diuretic or laxative abuse, any
periorbital puffiness, and extremities swelling. She was given
lorazepam followed by successful resolution of seizures. Two different databases (PubMed and Scopus) were
searched for all case reports and review articles previously
published on GS syndrome. Moreover, after taking informed
consent from our patient, we included data from the elec-
tronic medical record system to use this information for
publication purposes. On physical examination, she was having borderline low
blood pressure close to her baseline (105/56) with HR of 80,
RR 18, O2 sat. 100% on room air. Systemic examination
was otherwise unremarkable without any overt signs of
dehydration. Hindawi
Case Reports in Medicine
Volume 2019, Article ID 4204907, 8 pages
https://doi.org/10.1155/2019/4204907 Hindawi
Case Reports in Medicine
Volume 2019, Article ID 4204907, 8 pages
https://doi.org/10.1155/2019/4204907 2. Case Presentation EKG showed U waves and nonspecific T wave changes. Pertinent labs showed serum blood urea nitrogen (BUN)
and creatinine (Cr) of 16 and 0.77, respectively. Serum
electrolytes showed serum sodium (Na) of 150 mEq/L, se-
rum potassium (K) of 1.4 mEq/L, serum magnesium (Mg) of
2.8 mg/dL, and serum bicarbonate (HCO3) of 35 mEq/L. Urine electrolytes included urine K 22 mEq/L, urine Na
121 mEq/L, and urine Cl 146 mEq/L. Her transtubular A 22-year-old female was brought to the hospital with the
complaint of vomiting, generalized weakness, and two ep-
isodes
of
witnessed
generalized
tonic-clonic
seizures
24 hours prior to the time of admission. She had about 5
episodes of nonbloody nonbilious vomiting. She was non-
verbal at baseline but was reported to be more lethargic than
usual and had a poor oral intake for the last 2 days and Case Reports in Medicine 2 Table 1: Summary of the literature review. Table 1: Summary of the literature review. 2. Case Presentation y
Demographics
Total (%)
Associations
Total (%)
Age, mean
31
Pregnancy
17 (14)
Range
0.3–80 years
Calcium pyrophosphate deposition disease (CPPD)
7 (5.7)
Males
45 (36)
Sjogren syndrome
5 (4)
Females
77 (63)
Chondrocalcinosis
4 (3.3)
Presentation
Tyrotoxicosis hypokalemic periodic paralysis
(THPP)
2 (1.6)
Weakness
52 (43)
Empty sella syndrome
2 (1.6)
Cramps
23 (19)
Type 2 diabetes
2 (1.6)
Carpopedal spasms
11 (9)
Primary aldosteronism
2 (1.6)
Nausea, vomiting
7 (6)
Type 1 diabetes
1 (0.8)
Nocturia
6 (5)
Pemphigus vegetans
1 (0.8)
Paralysis
5 (4)
Mitochondrial encephalopathy
1 (0.8)
Numbness
5 (4)
Varicose veins
1 (0.8)
Joint pain, arthritis
4 (3) each
Fanconi syndrome
1 (0.8)
Muscle pain
3 (2)
Autosomal dominant familial neurohypophyseal
diabetes insipidus
1 (0.8)
Polydipsia
3 (2)
Syndrome of inappropriate ADH secretion
1 (0.8)
Sicca symptoms
3 (2)
Familial Mediterranean fever
1 (0.8)
Hypokalemic paralysis
2 (1.6)
Parathyroid adenoma
1 (0.8)
Syncope
2 (1.6)
Pancreatic cancer
1 (0.8)
Salt craving
2 (1.6)
Hashimoto thyroiditis
1 (0.8)
Tirst, palpitations, frequent micturition,
somnolence
1 (0.8) each
Scleroderma
1 (0.8)
Nausea, vomiting
7 (6)
Crowded lens syndrome
1 (0.8)
Paralysis
5 (4)
Transient hypophosphatemia of infancy
1 (0.8)
Visual abnormalities
4 (3)
Pseudotumor cerebri
1 (0.8)
Failure to thrive
4 (3)
Gout
1 (0.8)
Loss of appetite
4 (3)
Graves disease
1 (0.8)
Respiratory distress
3 (2)
Serum Electrolytes
Total (%)
Arthralgias
2 (1.6)
Sodium
Headache
2 (1.6)
Normal range (135–145 mEq/L)
46 (38)
Diarrhea
2 (1.6)
Low
15 (12)
Raynaud’s phenomenon
2 (1.6)
Potassium
Incontinence
1 (0.8)
Normal range (3.5–5 mEq/L)
14 (11)
Insomnia
1 (0.8)
Lower limit (2.5–3 mEq/L)
57 (47)
Tinnitus
1 (0.8)
Low (<2.5 mEq/L)
41 (34%)
Perspiration
1 (0.8)
Calcium
Constipation
1 (0.8)
Normal range (2.2–2.7 mmol/L)
42 (34)
Complications
Low
13 (11)
Metabolic alkalosis
7 (5.7)
High
2 (1.6)
Hypokalemic paralysis
6 (4.9)
Magnesium
Hypokalemia
5 (4)
Normal range (0.70–1.0 mmol/L)
19 (16)
Prolonged QT intervals
5 (4)
Low
69 (57)
Pseudogout
4 (3.3)
High
6 (5)
Rhabdomyolysis
4 (3.3)
Urine analysis
ST depression
2 (1.6)
Sodium
T wave changes on EKG
2 (1.6)
mmol/24h
Gestational diabetes mellitus
2 (1.6)
Normal (40–220 mmol/24 h)
17 (14)
Focal segmental glomerulosclerosis
2 (1.6)
High
14 (11)
Prominent U waves
2 (1.6)
Spot (mmol/L)
Tubulointerstitial nephritis
2 (1.6)
Normal (<20 mmol/L)
1 (0.8)
Brain calcification
1 (0.8)
High
3 (2.5)
Diabetic ketoacidosis
1 (0.8)
Potassium
Left ventricular dysfunction
1 (0.8)
mmol/24h
Prolonged PR interval
1 (0.8)
Normal (25–125 mmol/24 h)
30 (25)
Ventricular fibrillation
1 (0.8)
High
8 (6.5)
MPGN
1 (0.8)
Low
2 (1.6)
Focal seizures
1 (0.8)
Spot (mmol/L)
Iron deficiency anemia
1 (0.8)
Normal (20–40 mmol/L)
3 (2.5)
Pericardial effusion
1 (0 8)
High
3 (2 5) Case Reports in Medicine 3 Table 1: Continued. 2. Case Presentation Table 1: Continued. Demographics
Total (%)
Associations
Total (%)
Neuropsychological symptoms
1 (0.8)
Calcium
Sclerochoroidal calcifications
1 (0.8)
mmol/24h
Renal tubular acidosis
1 (0.8)
Normal (15–20 mmol/24 h)
2 (1.6)
High
3 (2.5)
Diagnosis
Low
58 (48)
Based on electrolyte abnormality
68 (56)
Spot (mmol/L)
Genetic mutations
Normal (20–40 mmol/L)
SLC12A3 gene mutations
46 (38)
High
NCCT gene
3 (2.5)
Magnesium
TSC gene
3 (2.5)
mmol/24h
Screening
2 (1.6)
Normal (3–5 mmol/24 h)
5 (4)
CLCNKB gene
1 (0.8)
High
13 (11)
Low
7 (6)
Management
Spot (mmol/L)
Electrolyte replacement (Mg, K supplements)
92 (75)
Normal (8–152 mmol/L)
1 (0.8)
Spironolactone
32 (26)
High
N/A
Pain killers
13 (11)
Low
1 (0.8)
Angiotensin receptor blocker
7 (5.7)
Chloride (140–250 mmol/24 h)
Amiloride
7 (5.7)
mmol/24 h
Steroids
5 (4)
Normal(140–250 mmol/24 h)
2 (1.6)
Eplerenone
3 (2.5)
High
3 (2.5)
Colchicine (for gout)
2 (1.6)
Low
3 (2.5)
Desmopressin
2 (1.6)
mmol/L
Growth hormone (for empty sella syndrome)
2 (1.6)
Normal (98–107 mmol/L)
Febuxostat (for gout)
1 (0.8)
Low
6 (4.9)
Cyclophosphamide
1 (0.8)
High
4 (3.3)
Triamterene
1 (0.8)
24 hr urinary protein
Phenytoin
1 (0.8)
Normal (<80 mg/24 h)
1 (0.8)
Amiodarone (for ventricular fibrillation)
1 (0.8)
Low
Metoclopramide
1 (0.8)
High
7 (6)
Antithyroid drugs
1 (0.8)
Calcium creatinine ratio
Outcome
Normal (<0.14)
Recovery
86 (70)
High
Low Total (%) Gitelman syndrome. Tere was no language filter placed,
and articles were collected from their inception till May
2018, using the MEDLINE, Cochrane, Embase, and Scopus
databases. Different MeSH terminologies such as “Gitel-
man,” “Gitelman syndrome,” “Gitelman disease,” and
“GS” were combined using the Boolean operators “AND”
and “OR” with the terms “hypomagnesemia,” “low mag-
nesium,” “serum magnesium,” “plasma magnesium,” and
“magnesium levels.” Another author collected few articles
through manual search using the reference list of all re-
trieved publications through the aforementioned search
strategy. potassium gradient (TTKG) was 6.82. Complete blood count
and liver function panel were within normal limits. Plasma
renin activity (PRA) was 0.33 ng/ml/hr, serum aldosterone/
K ratio of 1/1.4, and aldosterone/plasma renin ratio of 3. Differential included primary hyperaldosteronism, vomit-
ing, and Bartter/Gitelman syndrome. EEG showed abnormal epileptiform activity in the brain
consistent with seizure. Low normal BP, high urine Cl with
urine Ca, and history negative for laxative/diuretic intake
made GS the more likely differential. Later on, biallelic
identification of inactivating SLC12A3 mutation confirmed
the diagnosis of GS. 2. Case Presentation Patient’s condition improved with aggressive K re-
plenishment and antiepileptics in the medical ICU. She was
later discharged in a medically stable condition and advised
to follow-up with nephrologist and neurologist as an
outpatient. 4. Results and Statistical Analysis 4.1. Literature Retrieval and the Results. After a thorough
computer literature search, careful verification of references,
and screening based upon the titles and abstracts, 122 cases
of GS patients from 100 articles were identified for selection
[1–100]. It was ensured that repetitive cases in these articles
were excluded. Out of these 100 articles, data were also
extracted from articles published in languages other than
English. 3. Literature Search About 7 cases had no
mention of the presenting complaints. Rest of the patients
had their own unique features as seen in Table 1. Our patient
had a unique presentation of generalized tonic-clonic seizure
despite normal serum Mg levels, which has not been pre-
viously reported in the literature. GS was found to be most
commonly associated with pseudogout and CPPD crystal
deposition in about 10% of patients. Other associations
included but not limited to Sjogren’s syndrome in 4%,
chondrocalcinosis in 3%, and diabetes mellitus (both type 1
and type 2) and primary hyperaldosteronism in about 2%
each. A less common association is seen with empty sella
syndrome in 2 patients. Seizure disorder as a possible as-
sociation with GS was previously reported in only one case
by Beltagi et al., most likely due to hypomagnesemia [15]. Our patient, however, was unique with no prior history of
epilepsy and had a seizure as the very first presentation with
normal magnesium levels. 4.5. Diagnosis and Management with Outcomes. Except for
one case (n 1/122), where there is no mention of the
diagnostic method, genetic testing was utilized in 42%
(n 52/122) cases, to definitively diagnose GS. Te specific
mutations to help make the diagnosis can be seen in Table 1. Almost 56% of patients (n 68/122) were diagnosed based
on the presenting electrolytes abnormalities including serum
and urine Na, K, Mg, and Ca used adjunctively with PAR
concentration. Although the supportive testing with elec-
trolytes and supplementary tests were highly suggestive of
GS in these 68 cases, genetic tests were not done for various
reasons. Tese included lack of resources, nonavailability of
genetic test, and loss of follow-up by the patients to be the
major ones. Of note is the serum Mg level in the reported cases. Considering the normal range to be between 0.7 and
1 mmol/L (1.5–2 mEq/L; 1.7–2.4 mg/dL), 55% (n 66/122)
patients had hypomagnesemia, i.e., <0.7 mmol/L, whereas
20% (n 25/122) had levels 0.7 mmol/L and above. In 31
cases, serum magnesium levels were not reported. Tese
levels were important as the clinical severity of presentation
was reflected by the degree of hypomagnesemia. y
g
yp
g
Electrolytes replacement, NSAIDs, and potassium-
sparing diuretics with and without ACE In/ARB’s were
the mainstay of treatment in almost all of the cases. 3. Literature Search Te available literature was systematically searched by
three authors independently to retrieve all available ma-
terial on variable clinical and metabolic presentations in 4 Case Reports in Medicine 4.2. Patients Description. Tere were a total of 122 patients
including 45% (n 55) males and 65% (n 77) females. Te
age of female patients ranged from 4.8 months to 79 years
(mean age 28.5 years), whereas for males, it ranged from
7 months to 80 years (mean age of 27.8 years). Te de-
scription of patients included in this study is listed in Table 1. and renal tubular acidosis (RTA). Tyrotoxic periodic pa-
ralysis and hypokalemic periodic paralysis were also seen in
a few cases. However, it must be noted that it is rare for two
different renal entities to occur at the same time, and several
of the studies did not confirm the diagnosis of GS by
identifying the inactivation gene mutation leaving open the
possibility that underlying pathology may not have been
actually Gitelman’s. Long-term follow-up is usually required
to observe for these complications; our patient, however, had
no further follow-up in our hospital and was referred to the
neurologist care. 4.3. Spectrum of Clinical Presentation and Associations. Clinical presentation of Gitelman syndrome was found to be
highly variable in the reported patient population. About
30%
(n 36/122)
of
the
patients,
including
14%
(n 17/122) pregnant patients, were having nonspecific
muscle cramps, weakness, fatigability, and anorexia, as the
main presentation. Tese were likely due in part to hypo-
kalemia and hypomagnesemia. About 12% (n 15/122) of
the patients had extremities weakness out of which 7%
(n 9/122) presented with bilateral lower limb weakness/
paralysis and the rest of them had quadriplegia as initial
presentation. Interestingly, 10.6% (n 12/122) of patients
had perioral numbness and symptoms related to tetany/
carpopedal spasm as first signs of Gitelman. About 6% of
patients had polydipsia, polyuria/enuresis, and salt craving
as presenting complaint; however, almost half of the total
reported patients had some degree of polydipsia and
polyuria in addition to main presenting clinical symptoms. Seven percent (n 9/122) of patients were completely
asymptomatic and were diagnosed with routine lab work,
either during routine clinical visits or perioperatively. Only
5.7% of patients (n 7/122) had GI-related issues such as
anorexia, vomiting, constipation, abdominal pain, and
weight loss as the main complaint. 3. Literature Search Out-
comes and prognosis were remarkable, and patients fully
recovered from their acute presenting symptoms with ex-
ception of a few cases. Tese few cases reported persistent
electrolytes abnormalities such as hypokalemia, metabolic
alkalosis, hypomagnesemia, occasional paralysis and neu-
rological symptoms, and treatment-related complications
(indomethacin-related GI upset and bleeding). Recovery in
the other cases is being defined as a sustained increase in
electrolytes with magnesium >2, potassium >4, and sig-
nificant improvement in the symptoms. Around 22%
(n 28/122) cases did not comment on the outcomes. 4.4. Complications
Related
to
Gitelman
Syndrome. Complications related to renal, cardiac, and endocrine
systems have frequently been reported in the previous cases. Cardiac manifestations ranged from electrolytes related,
asymptomatic ECG changes including prolonged Qtc,
nonspecific T and U waves to pericardial effusion, and
ventricular fibrillation. Reported renal pathologies included
glomerulonephritides such as MPGN, FSGS, membranous
nephropathy, and also cases of tubulointerstitial nephritis 4.4. Complications
Related
to
Gitelman
Syndrome. Complications related to renal, cardiac, and endocrine
systems have frequently been reported in the previous cases. Cardiac manifestations ranged from electrolytes related,
asymptomatic ECG changes including prolonged Qtc,
nonspecific T and U waves to pericardial effusion, and
ventricular fibrillation. Reported renal pathologies included
glomerulonephritides such as MPGN, FSGS, membranous
nephropathy, and also cases of tubulointerstitial nephritis References [1] C. Z. Molin and D. J. Trevisol, “Persistent severe hypoka-
lemia: gitelman syndrome and differential diagnosis,” Jornal
Brasileiro de Nefrologia, vol. 39, no. 3, pp. 337–340, 2017. [2] X. Gu, Z. Su, M. Chen, Y. Xu, and Y. Wang, “Acquired
Gitelman syndrome in a primary Sj¨ogren syndrome patient
with a SLC12A3 heterozygous mutation: a case report and
literature review,” Nephrology, vol. 22, no. 8, pp. 652–655,
2017. [3] C. J. Subasinghe, N. D. Sirisena, C Herath et al., “Novel
mutation in the SLC12A3 gene in a Sri Lankan family with
Gitelman syndrome & coexistent diabetes: a case report,”
BMC Nephrology, vol. 18, no. 1, p. 140, 2017. [4] Q. U. Mustafa, Z. H. Haroon, A. Ijaz, M. T. Sajid, and
M. Ayyub, “Gitelman syndrome,” Journal of College of
Physicians and Surgeons–Pakistan: JCPSP, vol. 27, no. 3,
pp. 30–32, 2017. 5.1. Treatment. Most patients with GS remain untreated. Te observation that chondrocalcinosis is due to magnesium
deficiency argues clearly in favor of magnesium supple-
mentation [15]. Most asymptomatic patients with GS remain
untreated and undergo ambulatory monitoring, once a year,
generally by nephrologists. Lifelong supplementation of
magnesium and potassium is mandatory [105]. Cardiac
workup should be performed to screen for risk factors of
cardiac arrhythmias. All GS patients are encouraged to
maintain a high-sodium diet. In general, the long-term
prognosis of GS is excellent. Health education with annual
regular nephrologist follow-up to evaluate for any developing
complications seems to be a reasonable approach. As men-
tioned in the abstract, GS can be first identified during
pregnancy when classic electrolyte abnormalities are noticed
on the lab work [106]. Successful pregnancy is possible in
majority of the patients; however, miscarriages have also been
reported in the literature, which alludes to regular nephrol-
ogist follow-up during pregnancy. [5] T. Kusuda, T. Hosoya, T. Mori et al., “Acquired gitelman
syndrome in an anti-SSA antibody-positive patient with a,”
Internal Medicine, vol. 55, no. 21, pp. 3201–3204, 2016. [6] S. M. Troster, J. E. Raizman, and L. Rubin, “An unusual case
of gout in a young woman with gitelman syndrome,” Journal
of Rheumatology, vol. 43, no. 11, pp. 2085–2087, 2016. [7] K. Nozu, Y. Nozu, K Nakanishi et al., “Cryptic exon acti-
vation in SLC12A3 in Gitelman syndrome,” Journal of
Human Genetics, vol. 62, no. 2, p. 335, 2017. [8] Y. Zhang, F. 5. Discussion In our literature review, only one
patient who was reported by Beltagi et al. [15] presented with
somnolence and altered mental status and had a focal seizure
as a complication. Even in that case, hypomagnesemia can be
considered as the cause of epileptiform activity on EEG. Tis
observation prompts us to consider causes other than hy-
pomagnesemia as a culprit of seizure disorder, whenever
evaluating the patient with GS. Te final diagnosis of GS is
based on the triad of clinical symptoms, biochemical ab-
normalities, and genetic testing [103]. Genetic testing is
recommended for all patients, and the diagnosis is con-
firmed with the biallelic identification of inactivating
SLC12A3 mutations [104]. We emphasize after this litera-
ture review that contrary to common clinical practice,
overall clinical picture with more emphasis on genetic
testing is a better strategy to clinch the diagnosis, and the
diagnosis of GS can still be made even with normal serum
magnesium levels. (v) Successful pregnancy is possible in majority of the
patients; however, miscarriages have also been re-
ported in the literature, which alludes to regular
nephrologist follow-up in the pregnant GS patient References Zhang, D Chen et al., “A novel homozygous
mutation in the solute carrier family 12 member 3 gene in a
Chinese family with Gitelman syndrome,” Brazilian
Journal of Medical and Biological Research, vol. 49, no. 11,
2016. [9] K. Gandhi, D. Prasad, V. Malhotra, and D. Agrawal,
“Gitelman’s syndrome presenting with hypocalcemic tetany
and hypokalemic periodic paralysis,” Saudi Journal of Kidney
Diseases and Transplantation, vol. 27, no. 5, p. 1026, 2016. [10] S. Skalova and S. Kutilek, “Transient hyperphosphatemia: a
benign laboratory disorder in a boy with Gitelman syn-
drome,” Jornal Brasileiro de Nefrologia, vol. 38, no. 3,
pp. 363–365, 2016. Conflicts of Interest Te authors declare that they have no conflicts of interest. 5. Discussion However, GS can also present with normal serum magne-
sium levels, and in one case, it has been reported to be in
around 20–40% of GS cases [101]. From our review of
around 122 cases, 20% (n 25/122) patients had serum
magnesium levels >0.7 mmol/L. Both the groups of GS
patients with normal and low magnesium levels largely stay
asymptomatic and present later in life. Most present in Case Reports in Medicine 5 teenage or adulthood with nonspecific generalized weakness
or muscle cramps/fatigability, polyuria, and polydipsia
[103]. However, seizure disorder has very rarely been re-
ported as one of the main presenting complaints. Hypo-
magnesemia and metabolic alkalosis have been proposed as
the pathophysiological basis of these rarely reported seizure
disorders. Our case reports are unique in this sense that the
patient of GS presented with seizure despite having normal
serum magnesium levels. In our literature review, only one
patient who was reported by Beltagi et al. [15] presented with
somnolence and altered mental status and had a focal seizure
as a complication. Even in that case, hypomagnesemia can be
considered as the cause of epileptiform activity on EEG. Tis
observation prompts us to consider causes other than hy-
pomagnesemia as a culprit of seizure disorder, whenever
evaluating the patient with GS. Te final diagnosis of GS is
based on the triad of clinical symptoms, biochemical ab-
normalities, and genetic testing [103]. Genetic testing is
recommended for all patients, and the diagnosis is con-
firmed with the biallelic identification of inactivating
SLC12A3 mutations [104]. We emphasize after this litera-
ture review that contrary to common clinical practice,
overall clinical picture with more emphasis on genetic
testing is a better strategy to clinch the diagnosis, and the
diagnosis of GS can still be made even with normal serum
magnesium levels. (iv) Further studies are recommended to better un-
derstand the pathophysiology of abnormal epilep-
tiform activity in GS teenage or adulthood with nonspecific generalized weakness
or muscle cramps/fatigability, polyuria, and polydipsia
[103]. However, seizure disorder has very rarely been re-
ported as one of the main presenting complaints. Hypo-
magnesemia and metabolic alkalosis have been proposed as
the pathophysiological basis of these rarely reported seizure
disorders. Our case reports are unique in this sense that the
patient of GS presented with seizure despite having normal
serum magnesium levels. 6. Conclusion Kaniuka-Jakubowska, M Nagel et al., “A
case report of Gitelman syndrome resulting from two novel
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variable
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settings (i) GS
with
variable
biochemical
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i.e., normal serum magnesium level is a rare but
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vol. 3, no. 3, pp. 293-294, 1996. [79] M. Sartori, E. Parotto, E Bonso et al., “Autonomic nervous
system function in chronic hypotension associated with
Bartter and Gitelman syndromes,” American Journal of
Kidney Diseases, vol. 49, no. 2, pp. 330–335, 2007. 6. Conclusion Coulthard, “Dose related
growth response to indometacin in Gitelman syndrome,”
Archives of Disease in Childhood, vol. 81, no. 6, pp. 508–510,
1999. [93] A. Bettinelli, R. Rusconi, S Ciarmatori et al., “Gitelman
disease associated with growth hormone deficiency, dis-
turbances in vasopressin secretion and empty sella: a new
hereditary renal tubular-pituitary syndrome?,” Pediatric
Research, vol. 46, no. 2, pp. 232–238, 1999.
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Computer-assisted individualized hemodynamic management reduces intraoperative hypotension
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Computer-assisted individualized hemodynamic
management reduces intraoperative hypotension Alexandre Joosten
Joseph Rinehart
Philippe Van der Linden
Brenton Alexander
Christophe Penna
Jacques De Montblanc
Maxime Cannesson
Jean-Louis Vincent
Eric Vicaut
Jacques Duranteau Abstract A new study published in the journal Anesthesiology suggests that computer-assisted individualized
hemodynamic management is a promising strategy to minimize hypotension during certain surgeries. Intraoperative hypotension is common but can increase the risk of postoperative complications. During
surgery, individualized hemodynamic management can help mitigate hypotension and decrease such
complications. In this strategy, clinicians use both intravenous fluids and vasopressors to maintain mean
arterial pressure and blood volume near a patient’s personalized baseline. Despite its reported success,
this approach requires constant monitoring and adjustment, which can be particularly challenging during
complex and prolonged surgeries. Automated systems that can deliver either vasopressors or fluids have
recently been developed, but a single closed-loop system that can deliver both with minimal clinician
intervention isn’t yet available. To pave the way for such technology, researchers at a hospital in Bicêtre,
France, designed a computer-assisted system with two main parts: one for closed-loop vasopressor
administration and another for decision-supported fluid administration. The researchers then tested their
system against traditional fluid and vasopressor management with respect to intraoperative
hemodynamics and postoperative complications. The researchers randomized thirty-eight patients
scheduled for elective intermediate- to high-risk abdominal or orthopedic surgery to either a computer-
assisted goal-directed therapy group or a manually adjusted goal-directed therapy group and compared
the outcomes. The same hemodynamic management protocol was used in both groups; only the
presence of automation differed. Compared with the manual group, the computer-assisted group had
significantly less hypotension, indicating better blood pressure management. This was likely due to the
much higher number of vasopressor infusion rate modifications in this group. However, there was no
difference in the postoperative complication rate between groups, likely because of the small sample
size. Additionally, all flow-based hemodynamic variables were kept closer to the target value in the
computer-assisted group than in the manual group. Finally, the mean stroke volume index and cardiac
index were significantly greater in the computer-assisted group, further supporting the superior
hemodynamic control of the computerized system. Notably, the computer-assisted surgeries were
supervised by the principal investigator, and provider experience and type weren’t controlled. Blood loss
and aspirin use were greater in the computer-assisted group than in the manual group. Additionally,
hypotension during anesthesia induction couldn’t be assessed. Finally, the findings may not apply to
types of surgeries beyond those examined. Despite these limitations, this study demonstrates that
computer-assisted individualized hemodynamic management is superior to goal-directed manual
adjustments in minimizing intraoperative hypotension. Video Abstract Keywords: hemodynamic management, individualized hemodynamic management, vasopressor, fluid
titration, intraoperative hypotension, randomized controlled trial, mini-fluid challenge, stroke volume index,
cardiac output, decision support system, closed-loop system, norepinephrine infusion, mean arterial
pressure, bolus, assisted fluid management, perioperative medicine, Edwards Lifesciences, intermediate-
and high-risk surgery, anesthesia, surgery, anesthesiology Posted Date: October 12th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-966059/v1 DOI: https://doi.org/10.21203/rs.3.rs-966059/v1 License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License Page 1/2 Page 1/2 Abstract This work is yet another steppingstone in the
development of automated systems to optimize patient management during surgery. Page 2/2 Page 2/2
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Predictive study of pharmacological reversal for residual neuromuscular blockade and postoperative pulmonary complications: a prospective, observational, cohort study
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www.nature.com/scientificreports www.nature.com/scientificreports www.nature.com/scientificreports Scientific Reports | (2022) 12:14955 Methods Study design and setting. A single-center, prospective, observational cohort study was designed that
included patients undergoing elective or emergency surgery at Miguel Servet University Hospital in Zaragoza
from January 2016 to December 2019. The reporting of this study conforms to the STROBE statement. Ethics. The study was first approved by the Ethical and Research Committee of Miguel Servet University
Hospital, Zaragoza, Spain, with registration code 06/2014 (Chairperson J.M. Larrosa Poves). Subsequently, it
was reauthorized by the Regional Ethics Committee of Aragón (CEICA), with the number CAB-SUG-2019-01
(Chairperson M. Gonzalez Hinjos) as requested by regional guidelines. This study was performed in line with
the principles of the Declaration of Helsinki and written informed consent was obtained from all subjects. Inclusion/exclusion criteria. The inclusion criteria were: patients with ASA physical status I to III,
aged over 18 years, who were to undergo general anaesthesia with neuromuscular blocking agents and signed
informed consent. Exclusion criteria included patients with ASA physical status IV to V, known neuromuscular
disease, diabetes mellitus with diagnosed neuropathy, pregnancy or lactation, known allergy to neuromuscular
blocking agents, cardiac surgery, or planned admission to surgical ICU with mechanical ventilation. The patients
were selected before the surgery, having signed the consent form for inclusion in the study. Primary and secondary outcomes. The primary outcome was the presence of postoperative RNMB,
defined as a TOF ratio < 0.9 at admission to the PACU.hi i
The secondary outcomes were the POPC, as defined in other studies like ARISCAT15 or PERISCOPE16. Early
POPC were considered as at least one of the following respiratory events in the PACU: upper airway obstruction,
desaturation below 92%, bronchoaspiration, or need for reintubation for the severe respiratory failure of the
patient. Late POPC were defined as at least one event of pneumonia or atelectasis in the 30 days following surgery. Patient population and anaesthesia. The recruited patients were those who were to receive
neuromuscular blocking agents under balanced general anaesthesia. Neuromuscular blockade was performed
according to routine clinical practice and usual department protocol with cisatracurium (0.1–0.2 mg/kg) or
rocuronium (0.6–1.2 mg/kg) for anaesthetic induction at the choice of the anaesthesiologist in charge of the
patient who was blinded to the patient’s inclusion in the study. Similarly, anaesthetic maintenance, intraoperative
quantitative NMM, repeated doses of the neuromuscular blocking agent, or pharmacological reversal at the end
of surgery depended on the clinical criteria of the same anaesthesiologist. Predictive study of pharmacological
reversal for residual neuromuscular
blockade and postoperative
pulmonary complications:
a prospective, observational,
cohort study
OPEN Cristian Aragón‑Benedí1,3*, Ana Pascual‑Bellosta1,3, Sonia Ortega‑Lucea1,3,
Sara Visiedo‑Sánchez2,3, Javier Martínez‑Ubieto1,3 & Research Group in Anaesthesia,
Resuscitation, and Perioperative Medicine of Institute for Health Research Aragón (ISS
Aragón)3* In recent years, some studies have generated controversy since they conclude that intraoperatively
pharmacological reversal of neuromuscular blockade does not contribute to the reduction of
postoperative residual neuromuscular blockade or pulmonary complications. Therefore, the
main objective of this study was to assess the incidence of residual neuromuscular blockade and
postoperative pulmonary complications according to spontaneous or pharmacological neuromuscular
reversal. The secondary aim was to present a prognostic model to predict the probability of
having postoperative residual neuromuscular blockade depending on a patient’s comorbidities
and intraoperative neuromuscular blocking agents management. A single-center, prospective,
observational cohort study including patients undergoing surgical procedures with general anesthesia
was designed. A total of 714 patients were analyzed. Patients were divided into four groups:
cisatracurium with spontaneous reversal, cisatracurium with neostigmine antagonism, rocuronium
with spontaneous reversal, and rocuronium with sugammadex antagonism. According to our
binomial generalized linear model, none of the studied comorbidities was a predisposing factor for an
increase in the residual neuromuscular blockade. However, in our study, pharmacological reversal of
rocuronium with sugammadex and, particularly, neuromuscular monitoring during surgery were the
factors that most effectively reduced the risk of residual neuromuscular blockade as well as early and
late postoperative pulmonary complications. Abbreviations
RNMB
Residual neuromuscular blockade
POPC
Postoperative pulmonary complications
NMM
Neuromuscular monitoring
NMB
Neuromuscular blockade
PACU
Post-anaesthesia care unit
TOF
Train of four 1Department of Anesthesia, Resuscitation and Pain Therapy, Miguel Servet University Hospital, 50009 Zaragoza,
Spain. 2Department of Anaesthesia, Resuscitation and Pain Therapy, University Clinical Hospital Lozano Blesa,
Zaragoza, Spain. 3Institute for Health Research Aragón (IIS Aragón), Zaragoza, Spain. *A list of authors and their
affiliations appears at the end of the paper. *email: cristianaragon@outlook.com | https://doi.org/10.1038/s41598-022-18917-y Scientific Reports | (2022) 12:14955 www.nature.com/scientificreports/ www.nature.com/scientificreports/ More than 400 million people receive neuromuscular blocking agents annually to paralyze skeletal muscle
groups, facilitate tracheal intubation, allow for controlled mechanical ventilation and achieve optimum relaxation
conditions for surgery1,2.ht g
y
The possibility of residual neuromuscular blockade (RNMB) after using neuromuscular blocking agents has
been known for some time. However, in recent years, there has been an increase in the number of publications
showing its high incidence, its relationship to postoperative pulmonary complications (POPC), and increased
potential healthcare costs3–6. POPC include upper airway obstruction, oxygen desaturation, bronchoaspiration,
pneumonia, atelectasis, and reintubation for severe respiratory failure requiring an unplanned admission to an
intensive care unit (ICU)2,3,5–7. Numerous studies and multiple international organizations have suggested that every patient receiving
non-depolarising neuromuscular blocking drugs should have at least qualitative, and preferably quantitative
intraoperative monitoring of the neuromuscular blockade (NMB) and assessment of the pharmacologic
antagonism of NMB8–11. Nevertheless, anesthesia professionals have not widely utilized quantitative
measurements of drug-induced NMB and the adequacy of pharmacologic reversal3–5. Furthermore, intraoperative
neuromuscular monitoring (NMM) rates vary according to each center and do not cover the entire surgical
patients with general anaesthesia and neuromuscular blocking agents11–13. p
g
g g
In addition, in recent years, some studies have generated controversy since they contradict most previous
studies, concluding that intraoperative monitoring of the NMB and pharmacological reversal do not contribute
in any way to the reduction of postoperative RNMB or pulmonary complications2,14. In this regard, the primary objective of this study was to assess the incidence of RNMB and POPC according
to spontaneous or pharmacological neuromuscular reversal, based on current clinical practice. The secondary
objective was to present a prognostic model to predict the probability of having RNMB depending on the patient’s
comorbidities and the intraoperative management of the neuromuscular blocking agents. www.nature.com/scientificreports/ restrictive lung disease, asthma, acute myocardial infarction, heart failure, high blood pressure, anaemia, chronic
renal failure, diabetes mellitus, dyslipidemia, hyperthyroidism, hypothyroidism, chronic liver disease, dementia,
and fragility). restrictive lung disease, asthma, acute myocardial infarction, heart failure, high blood pressure, anaemia, chronic
renal failure, diabetes mellitus, dyslipidemia, hyperthyroidism, hypothyroidism, chronic liver disease, dementia,
and fragility).h g
y
The type of surgery (general surgery, maxillofacial surgery, otolaryngology, urology, vascular surgery, and
others), emergency or elective procedure, intraoperative quantitative NMM during surgery, and repeated doses
of the neuromuscular blocking agent were recorded as intraoperative data. To measure the postoperative RNMB, we used, in 100% of the patients at admission to the PACU, a single
TOF measurement (four stimuli of 0.2 ms in duration at a frequency of 2 Hz) with an intensity of 40 mA using a
TOF-Watch-SX® acceleromyography device [Organon, Oss, The Netherlands] calibrated in the operating room
before the first dose of NMB. It was performed by the research staff, who was blinded and was not involved in
the intraoperative care of the patient. p
p
To assess the POPC, we consulted the patient’s electronic clinical history, recording any clinical event in PACU
or on the hospital ward, laboratory test, radiological study, and primary care or emergency room consultation
reports during hospital admission or 30 days after surgery confirming the type of POPC. Sample size. Assuming an incidence of residual neuromuscular blockade with rocuronium and
cisatracurium of 13%17 and 34.1%7, respectively, with a significant level of 5% and 95% of power, a sample size
of 103 patients was calculated using the EPIDAT v. 4.1. software. To account for dropouts, we included at least
110 patients per group. Patient recruitment was performed through a sequential review of cases in a recruitment
period from January 2016 to December 2019. Statistical analysis. A descriptive analysis was completed to perform data analysis using the mean, standard
deviation, and quartiles to summarize quantitative data according to normal distribution. For qualitative data,
frequency and percentages were used. A χ2 test and a Fisher’s test were used for qualitative variables, and when
proportions were compared for different groups, a difference in proportions test was used. A Kruskal–Wallis
test and an analysis of variance (ANOVA) test were used to study the relationship of a qualitative variable with
a quantitative variable. www.nature.com/scientificreports/ q
A Binomial Generalized Linear Model was performed to predict RNMB using the demographic data (age,
weight, gender, ASA), the comorbidities (chronic obstructive pulmonary disease, obstructive sleep apnea syn-
drome, restrictive lung disease, asthma, acute myocardial infarction, heart failure, high blood pressure, anaemia,
chronic renal failure, diabetes mellitus, dyslipidemia, hyperthyroidism, hypothyroidism, chronic liver disease,
dementia, and fragility) and the variables of the neuromuscular blockade management (neuromuscular blocking
agent, intraoperative NMM, pharmacological reversal) as previously detailed. g
g
y
For this, the Likelihood-Ratio test was used to select the variables of the Binomial Generalized Linear Model
with Logistic Regression (logit link) that were part of the final model. The modeling process was carried out in
stages, eliminating the variables with a lower significance or equivalently with a higher p-value for the Likelihood-
Ratio Test in each stage.fih Differences for which the p-value was < 0.05 were considered significant. The analysis has been developed
with R version 3.4.4 (R Foundation for Statistical Computing, Vienna, Austria). The statistical analysis and the
data review were developed by Jorge Luis Ojeda Cabrera Ph.D. (Dept. of Statistical Methods of the University
of Zaragoza). Results During the study period, 735 patients were included, 21 of whom were excluded, as detailed in Fig. 1. STROBE patient flow diagram. Patients were divided into the four groups detailed in the methodology by
type of neuromuscular blocking agent and spontaneous or pharmacological reversal (Fig. 1). The groups were
homogeneous, and there were no differences between the groups in patient demographic data or comorbidities
(Table 1). Residual neuromuscular blockade between groups. We found that 28.3% (n = 202) of all patients
had RNMB. According to the four groups, the incidence of RNMB was: group 1 cisatracurium without
pharmacological reversal 33.52% (n = 59), group 2 cisatracurium with neostigmine antagonism 30.35%
(n = 34), group 3 rocuronium without pharmacological reversal 35.87% (n = 99), and group 4 rocuronium with
sugammadex antagonism 5.33% (n = 8), with p < 0.001, χ2 test (Table 2). Methods If pharmacological antagonism was
performed, patients with rocuronium received sugammadex (2–4 mg/kg), and those with cisatracurium were
administered neostigmine (0.03–0.05 mg/kg) and atropine (0.02 mg/kg) according to routine clinical practice. In our department protocol, we did not assess the reversal of rocuronium with neostigmine, given the current
evidence of increased postoperative complications with this combination6,7. According to the neuromuscular blocking agents and spontaneous or pharmacological reversal, the patients
were then categorized into four groups: group 1 cisatracurium without pharmacological reversal, group 2
cisatracurium with neostigmine antagonism, group 3 rocuronium without pharmacological reversal, and group
4 rocuronium with sugammadex antagonism. Measurements and data handling. Patient demographic data included age, weight, gender, ASA
physical status, and comorbidities (chronic obstructive pulmonary disease, obstructive sleep apnea syndrome, https://doi.org/10.1038/s41598-022-18917-y Scientific Reports | (2022) 12:14955 | www.nature.com/scientificreports/ Intraoperative neuromuscular monitoring and residual neuromuscular blockade.
Intraoperative
NMM was used in 30.3% (n = 216) of patients, with no statistically significant differences in the four groups
(p=0.98, χ2 test). Intraoperative neuromuscular monitoring and residual neuromuscular blockade. Intraoperative
NMM was used in 30.3% (n = 216) of patients, with no statistically significant differences in the four groups
(p = 0.98, χ2 test). If we analyze the influence of intraoperative NMM and RNMB, patients not monitored intraoperatively had
an incidence of RNMB of 35.7% (n = 178). However, when monitored, the incidence decreased to 10.2% (n = 22)
with p < 0.001, χ2 test (Table 3). (p
χ
)
If we analyze the influence of intraoperative NMM and RNMB, patients not monitored intraoperatively had
an incidence of RNMB of 35.7% (n = 178). However, when monitored, the incidence decreased to 10.2% (n = 22)
with p < 0.001, χ2 test (Table 3). Postoperative pulmonary complications between groups. Concerning the respiratory events, a
total of 15.27% (n = 109) of all patients had some early POPC in the PACU. Of the total patients, 10.92% (n = 78)
presented oxygen desaturation and 4.34% (n = 31) presented upper airway obstruction. There were no cases of
bronchoaspiration or reintubation for severe respiratory. https://doi.org/10.1038/s41598-022-18917-y Scientific Reports | (2022) 12:14955 | www.nature.com/scientificreports/ www.nature.com/scientificreports/ Excluded n = 8
Unexpected critical care n = 3
Missing information n = 5
Missing information n = 13
Patients quantitative TOF PACU
n = 727
Cisatracurium - No
Pharmacological Reversal
n = 176
Cisatracurium - Neostigmine
n = 112
Rocuronium - No
Pharmacological Reversal
n = 276
Rocuronium - Sugammadex
n = 150
Patients recruited
n = 735
Patients included in the study
n = 714
Figure 1. STROBE patient flow diagram. TOF, train of four; PACU, post-anaesthesia care unit. Patients recruited
n = 735 Patients included in the study
n = 714 Figure 1. STROBE patient flow diagram. TOF, train of four; PACU, post-anaesthesia care unit. On the other hand, the incidence of late POPC at 30 days after surgery was 8.12% (n = 58): 6.44% (n = 46) had
atelectasis and 1.68% (n = 12) had pneumonia (Tables 2 and 3). On the other hand, the incidence of late POPC at 30 days after surgery was 8.12% (n = 58): 6.44% (n = 46) had
atelectasis and 1.68% (n = 12) had pneumonia (Tables 2 and 3). Predictive model for residual neuromuscular blockade. All those variables with a positive coefficient
estimate contributed to increasing the incidence, while those with a negative coefficient decreased it (Table 4). Intraoperative neuromuscular monitoring and residual neuromuscular blockade.
Intraoperative
NMM was used in 30.3% (n = 216) of patients, with no statistically significant differences in the four groups
(p=0.98, χ2 test). None of the demographic data and comorbidities added to the model predisposed to having more RNMB. However, the type of neuromuscular blocking agent used, TOF monitoring during surgery, and pharmacological
reversal did have a significant effect.i gif
Specifically, as can be seen from the following data (Table 4), the pharmacological combination of rocuronium
(− 0.44, coefficient estimate) with sugammadex (− 0.88, coefficient estimate) and, particularly, intraoperative
NMM (− 1.46, coefficient estimate) significantly reduced the incidence of RNMB. fi
gi
y
When using rocuronium, avoidance of intraoperative NMM and neuromuscular blockers antagonism led to
an incidence of RNMB of 41.27%; Conversely, the use of monitoring and pharmacological reversal decreased
the probability to 2.17% (Table 5). Discussionh This prospective, observational cohort study was intended to clarify certain questions arising in recent years
from several international studies on RNMB. According to the available literature, this article is one of the few
analyzing the patient’s demographic data, comorbidities, and the current clinical practice of intraoperative man-
agement of the neuromuscular blocking agents in a single predictive model for RNMB. Postoperative residual neuromuscular blockade. We showed that the incidence of RNMB in our
study was 28.3%, i.e. approximately 1 out of every 3 patients under balanced general anaesthesia presented this
complication. This figure still appears to be high today; however, it did not differ from the data from the most
recent studies, where the incidence ranges from 14 to 32%18–22.i g
According to our results, RNMB was significantly decreased when intraoperative monitoring was performed
nd when rocuronium was reverted with sugammadex. g
In cases where intraoperative NMM was used, the expected probability of RNMB decreased by a little over
25%. On the other hand, this probability decreased by 17% when neuromuscular management was done with
rocuronium and sugammadex. However, more importantly, when we performed both techniques in the same
intervention, the probability decreased by more than 30%. p
y
y
Nevertheless, the incidence of RNMB in the group with sugammadex was 5.3% since it could probably be
explained by clinical error. The dosing of sugammadex should be based on actual body weight23–25. For moderate
NMB, defined as 1 to 2 twitches, the dose is 2 mg/kg, but for deep NMB, defined as a post-tetanic count of 1 to
2, it is up to 4 mg/kg, and if no monitoring is performed, the degree of NMB cannot be known. Many specialists
routinely use 200 mcg of sugammadex12, which probably often leads to overdosing, but also to underdosing,
particularly in patients weighing more than 100 kg25. The same occurs during emergency surgery. The dose of
rocuronium is usually doubled, i.e. 1.2 mg/kg, when a rapid sequence intubation is used. Discussionh Especially in these cases, https://doi.org/10.1038/s41598-022-18917-y Scientific Reports | (2022) 12:14955 | www.nature.com/scientificreports/ Quantitative
variables (n)
Cisatracurium—no reversal
group
n = 176
Cisatracurium + neostigmine
group
n = 112
Rocuronium—
no reversal
group
n = 276
Rocuronium +
sugammadex group
n = 150
P-value
Mean
SD
Mean
SD
Mean
SD
Mean
SD
ANOVA
Age; years (714)
59.8
17.3
60.8
16.7
60.7
16.3
59.4
15.5
0.81
Weight; kg (714)
70.2
11.9
72.6
12.5
72.1
13.2
75.4
16.8
0.11
ASA Score (714)
2.10
0.69
2.16
0.71
2.11
0.67
2.14
0.66
0.89
Qualitative
variables (n)
Percent % (n)
Percent % (n)
Percent % (n)
Percent % (n) χ2 test
Male (474)
23.2% (110)
16.2% (77)
40.1% (190)
20.4% (97)
0.49
Female (240)
27.5% (66)
14.5% (35)
35.8% (86)
22.1% (53)
COPD (85)
21.1% (18)
16.4% (14)
49.4% (42)
12.9% (11)
0.09
OSAS (32)
40.6% (13)
3.10% (1)
34.3% (11)
21.8% (7)
0.07
Restrictive lung
disease (8)
12.5% (1)
25.0% (2)
25.0% (2)
37.5% (3)
0.49
Asthma (14)
35.7% (5)
0.00% (0)
42.8% (6)
21.4% (3)
0.38
AMI (67)
22.3% (15)
23.8% (16)
35.8% (24)
17.9% (12)
0.28
Heart failure (20)
20.0% (4)
15.0% (3)
40.0% (8)
25.0% (5)
0.94
High blood pressure
(329)
26.4% (87)
17.6% (58)
37.9% (125)
17.9% (59)
0.16
Anaemia (62)
30.6% (19)
17.7% (11)
35.4% (22)
16.1% (10)
0.54
Chronic renal
failure (40)
37.5% (15)
17.5% (7)
27.5% (11)
17.5% (7)
0.20
DM (131)
23.6% (31)
21.3% (28)
36.6% (48)
18.3% (24)
0.25
Dyslipidemia (165)
24.2% (40)
18.7% (31)
37.5% (62)
19.3% (62)
0.64
Hyperthyroid-
ism (4)
0.00% (0)
25.0% (1)
50.0% (2)
25.0% (1)
0.71
Hypothyroidism (2)
27.2% (6)
13.6% (3)
45.4% (10)
13.6% (3)
0.80
Chronic liver
disease (20)
35.0% (7)
20.0% (4)
20.0% (4)
25.0% (5)
0.36
Dementia (2)
0.00% (0)
0.00% (0)
0.00% (0)
100% (2)
0.05
Fragility (114)
20.1% (23)
17.5% (20)
43.8% (50)
18.4% (21)
0.42 Table 1. Homogeneity and comparison of demographic data and comorbidities between groups. Basic
descriptives and tests for the demographic and comorbidity variables for each group. As can be seen, there was
no significant relationship between the demographic and comorbidity variables and each group. Absolute (N)
and relative (%) frequencies along with independence tests (χ2) for the qualitative variables, and mean and
standard deviation (SD) along with comparing means tests (analysis of variance [ANOVA]) for the quantitative
variables. *Significance defined as p-value < 0.05. Table 1. Homogeneity and comparison of demographic data and comorbidities between groups. Basic
descriptives and tests for the demographic and comorbidity variables for each group. As can be seen, there was
no significant relationship between the demographic and comorbidity variables and each group. Absolute (N)
and relative (%) frequencies along with independence tests (χ2) for the qualitative variables, and mean and
standard deviation (SD) along with comparing means tests (analysis of variance [ANOVA]) for the quantitative
variables. *Significance defined as p-value < 0.05. ASA, American Society of Anesthesiologists score; COPD,
chronic obstructive pulmonary disease; OSAS, obstructive sleep apnea syndrome; AMI, acute myocardial
infarction; DM, diabetes mellitus. Discussionh ASA, American Society of Anesthesiologists score; COPD,
chronic obstructive pulmonary disease; OSAS, obstructive sleep apnea syndrome; AMI, acute myocardial
infarction; DM, diabetes mellitus. Table 2. Incidence of residual neuromuscular blockade, early and late postoperative pulmonary complications
between groups. Absolute (N) and relative (%) frequencies for each group along with independence tests
(χ2) *Significance defined as p-value < 0.05. RNMB, residual neuromuscular blockade; POPC, postoperative
pulmonary complications. Qualitative
variables
Cisatracurium—no
reversal group
n = 176
Cisatracurium + neostigmine
group
n = 112
Rocuronium—no
reversal group
n = 276
Rocuronium + sugammadex
group
n = 150
P-value
Percent % (n)
Percent % (n)
Percent % (n)
Percent % (n)
χ2 test
RNMB
33.5% (59)
30.3% (34)
35.8% (99)
5.33% (8)
< 0.001*
Early POPC
26.7% (47)
18.7% (21)
12.3% (34)
4.67% (7)
< 0.001*
Late POPC
7.39% (13)
8.93% (10)
9.78% (27)
2.67% (4)
0.038* Qualitative
variables
Cisatracurium—no
reversal group
n = 176
Cisatracurium + neostigmine
group
n = 112
Rocuronium—no
reversal group
n = 276
Rocuronium + sugammadex
group
n = 150
P-value
Percent % (n)
Percent % (n)
Percent % (n)
Percent % (n)
χ2 test
RNMB
33.5% (59)
30.3% (34)
35.8% (99)
5.33% (8)
< 0.001*
Early POPC
26.7% (47)
18.7% (21)
12.3% (34)
4.67% (7)
< 0.001*
Late POPC
7.39% (13)
8.93% (10)
9.78% (27)
2.67% (4)
0.038* Table 2. Incidence of residual neuromuscular blockade, early and late postoperative pulmonary complications
between groups. Absolute (N) and relative (%) frequencies for each group along with independence tests
(χ2) *Significance defined as p-value < 0.05. RNMB, residual neuromuscular blockade; POPC, postoperative
pulmonary complications. Table 2. Incidence of residual neuromuscular blockade, early and late postoperative pulmonary complications
between groups. Absolute (N) and relative (%) frequencies for each group along with independence tests
(χ2) *Significance defined as p-value < 0.05. RNMB, residual neuromuscular blockade; POPC, postoperative
pulmonary complications. as always, it is critical to use NMM and, if necessary, to use the correct dose of sugammadex per the patient’s real
weight and degree of the blockade24–27. s always, it is critical to use NMM and, if necessary, to use the correct dose of sugammadex per the patient’s real
weight and degree of the blockade24–27. https://doi.org/10.1038/s41598-022-18917-y Scientific Reports | (2022) 12:14955 | www.nature.com/scientificreports/ Table 3. Incidence of residual neuromuscular blockade and postoperative pulmonary complications if exists
both intraoperative neuromuscular monitoring and pharmacological reversal. Discussionh Absolute (N) and relative (%)
frequencies for each group along with independence tests (χ2) *Significance defined as p-value < 0.05. RNMB,
residual neuromuscular blockade; POPC, postoperative pulmonary complications; NMM, neuromuscular
monitoring. Qualitative variables
No intraoperative
NMM
Intraoperative
NMM
P-value
No pharmacological
reversal
Pharmacological
reversal
P-value
Percent % (n)
Percent % (n)
χ2 test
Percent % (n)
Percent % (n)
χ2 test
RNMB
35.7% (178)
10.2% (22)
< 0.001*
35.0% (158)
16.0% (42)
< 0.001*
Early POPC
17.2% (86)
10.6% (23)
0.023*
17.9% (81)
10.7% (28)
0.009*
Hypoxaemia
12.2% (61)
7.87% (17)
0.084
12.8% (58)
7.63% (20)
0.031*
Airway obstruction
5.02% (25)
2.78% (6)
0.176
5.09% (23)
3.03% (8)
0.198
Late POPC
9.24% (46)
3.70% (8)
0.011*
8.85% (40)
5.34% (14)
0.087
Pneumonia
2.01% (10)
0.92% (2)
0.301
1.99% (9)
1.15% (3)
0.396
Atelectasis
7.63% (38)
3.70% (8)
0.049*
7.30% (33)
4.96% (13)
0.219 Table 3. Incidence of residual neuromuscular blockade and postoperative pulmonary complications if exists
both intraoperative neuromuscular monitoring and pharmacological reversal. Absolute (N) and relative (%)
frequencies for each group along with independence tests (χ2) *Significance defined as p-value < 0.05. RNMB,
residual neuromuscular blockade; POPC, postoperative pulmonary complications; NMM, neuromuscular
monitoring. Table 4. Variables and coefficients of the generalized linear model with likelihood-ratio test to predict residual
neuromuscular blockade. Significant coefficients of the Generalized Linear Model along with the standard
error (Std. Error), the corresponding Z value and p-values [Pr ( >|z|)]. The sign of the coefficients of each
variables indicates the direction of the influence in the residual neuromuscular blockade. In our case, all the
coefficients were negative, so they were factors that reduced the probability of the residual neuromuscular
blockade; *Significance defined as p-value < 0.05. NMM, neuromuscular monitoring. Estimate
Std. error
Z value
Pr ( >|z|)
(Intercept)
− 0.08
0.15
− 0.56
0.57
Rocuronium
− 0.44
0.17
− 2.50
0.010*
Intraoperative NMM
− 1.46
0.24
− 5.91
< 0.001*
Sugammadex
− 0.88
0.20
− 4.33
< 0.001* Estimate
Std. error
Z value
Pr ( >|z|)
(Intercept)
− 0.08
0.15
− 0.56
0.57
Rocuronium
− 0.44
0.17
− 2.50
0.010*
Intraoperative NMM
− 1.46
0.24
− 5.91
< 0.001*
Sugammadex
− 0.88
0.20
− 4.33
< 0.001* Table 4. Variables and coefficients of the generalized linear model with likelihood-ratio test to predict residual
neuromuscular blockade. Significant coefficients of the Generalized Linear Model along with the standard
error (Std. Discussionh Error), the corresponding Z value and p-values [Pr ( >|z|)]. The sign of the coefficients of each
variables indicates the direction of the influence in the residual neuromuscular blockade. In our case, all the
coefficients were negative, so they were factors that reduced the probability of the residual neuromuscular
blockade; *Significance defined as p-value < 0.05. NMM, neuromuscular monitoring. Table 5. Probability of residual neuromuscular blockade according to the neuromuscular blocking agent,
neuromuscular monitoring and pharmacological reversal according to the generalized linear model. NMB,
neuromuscular blockade; NMM, neuromuscular monitoring; RNMB, residual neuromuscular blockade. NMB agent
Intraoperative NMM
Pharmacological reversal
Probability RNMB (%)
Cisatracurium
No
No
40.5
Rocuronium
No
No
41.2
Cisatracurium
Yes
No
14.2
Rocuronium
Yes
No
14.6
Cisatracurium
No
Neostigmine
39.5
Rocuronium
No
Sugammadex
8.33
Cisatracurium
Yes
Neostigmine
13.7
Rocuronium
Yes
Sugammadex
2.17 Table 5. Probability of residual neuromuscular blockade according to the neuromuscular blocking agent,
neuromuscular monitoring and pharmacological reversal according to the generalized linear model. NMB,
neuromuscular blockade; NMM, neuromuscular monitoring; RNMB, residual neuromuscular blockade. NMB agent
Intraoperative NMM
Pharmacological reversal
Probability RNMB (%)
Cisatracurium
No
No
40.5
Rocuronium
No
No
41.2
Cisatracurium
Yes
No
14.2
Rocuronium
Yes
No
14.6
Cisatracurium
No
Neostigmine
39.5
Rocuronium
No
Sugammadex
8.33
Cisatracurium
Yes
Neostigmine
13.7
Rocuronium
Yes
Sugammadex
2.17 NMB agent
Intraoperative NMM
Pharmacological reversal
Probability RNMB (%)
Cisatracurium
No
No
40.5
Rocuronium
No
No
41.2
Cisatracurium
Yes
No
14.2
Rocuronium
Yes
No
14.6
Cisatracurium
No
Neostigmine
39.5
Rocuronium
No
Sugammadex
8.33
Cisatracurium
Yes
Neostigmine
13.7
Rocuronium
Yes
Sugammadex
2.17 Table 5. Probability of residual neuromuscular blockade according to the neuromuscular blocking agent,
neuromuscular monitoring and pharmacological reversal according to the generalized linear model. NMB,
neuromuscular blockade; NMM, neuromuscular monitoring; RNMB, residual neuromuscular blockade. Table 5. Probability of residual neuromuscular blockade according to the neuromuscular blocking agent,
neuromuscular monitoring and pharmacological reversal according to the generalized linear model. NMB,
neuromuscular blockade; NMM, neuromuscular monitoring; RNMB, residual neuromuscular blockade. and Postoperative
pulmonary
complication
and
intraoperative
neuromuscular
monitoring. Concerning the percentage of intraoperative NMM at our center, we found that in 30.3%
of the surgical procedures, quantitatively monitoring of the NMB was used as routine clinical practice;
this figure is similar to those of other studies and centers7,12,13. As stated by Naguib et al., the percentage of
anaesthesiologists who rely solely on clinical signs for extubation remains very high28. According to our results,
this lack of intraoperative NMM increased in both early and late POPC. However, this statement is only valid
for desaturation and atelectasis since, in our sample, we have not been able to demonstrate that intraoperative
NMM decreased the incidence of postoperative pneumonia and obstruction. The incidence for early POPC was
15.27%, and for late POPC was 8.12%, similar to those reported by Kheterpal et al. or Ledowsky et al.3,29,30. https://doi.org/10.1038/s41598-022-18917-y Scientific Reports | (2022) 12:14955 | www.nature.com/scientificreports/ Postoperative pulmonary complication and pharmacological reversal. After analyzing the NMM,
we should see what happened with the neuromuscular reversal and its influence on POPC. The controversy31,32
lies with some studies, such as Grosse-Sundrup et al.2, POPULAR14, or Li et al.33, which have reported that
reversal, with one reversal agent and another, was not able to decrease these postoperative complications. Moreover, they questioned the utility of quantitative monitoring “the use of reversal agents or neuromuscular
monitoring could not decrease this risk.”14.f g
We found that the use of rocuronium of sugammadex was associated with a lower risk of suffering early POPC
in the PACU, which can be seen in Tables 2 and 3. In addition, when rocuronium and sugammadex were used
instead of cisatracurium and neostigmine, the incidence of desaturation decreased by approximately 12% and,
in the case of upper airway obstruction, by up to 2%. y
y
Regarding the late POPC and pharmacological reversal, we also showed that the combination of rocuronium
with sugammadex reduced them by up to 7%. In fact, the use of cisatracurium with neostigmine did not appear
to decrease but subtly increase the incidence of these complications, which paradoxically aligned with the con-
clusions of recent studies2,22,34–36. Limitations. One of our limitations was that detection of late respiratory complications, both pneumonia
and atelectasis, was based on clinical and laboratory criteria, and it may underestimate the complication rate. Conclusionh Thus, based on the results of our study, it may be concluded that intraoperative NMM was one of the factors that
most effectively reduced the risk of all these postoperative complications. Furthermore, the use of rocuronium
with a pharmacological reversal with sugammadex was associated with a lower risk of RNMB and postoperative
desaturation in the PACU and atelectasis during hospitalization. and In addition, we reviewed the patient’s clinical history without performing systematic X-ray in all cases since
the patients can develop well-tolerated clinical postoperative atelectasis, implying unnecessary radiological
exposure to all study patients. As described by Chen et al.37, a more effective and improved method for future
research would be systematic examination with pulmonary ultrasound. It currently provides similar results to
chest CT and chest X-ray for evaluating pneumonia and atelectasis37,38. y
g p
Moreover, our results were based on clinical management under real-life conditions. We have not analyzed
other factors, such as mechanical ventilation parameters, recruitment maneuvers, opioid doses, fluid therapy, and
others that are known to increase these complications and probably need to be assessed in subsequent studies39,40. Data availabilityh y
The datasets used and analyzed during the current study are available from the corresponding author on
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methodology, investigation, writing—reviewing and editing, supervision; S.O.: conceptualization, methodology,
investigation, writing—reviewing and editing, project administration; S.V.: investigation, visualization, validation;
J.M.: conceptualization, methodology, investigation, writing-reviewing and editing, supervision. All authors read
and approved the final version of the manuscript. Funding
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26_17D. Competing interests h dd t o a
o
at o
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Institute for Health Research Aragón (ISS Aragón) Research Group in Anaesthesia, Resuscitation, and Perioperative Medicine of
Institute for Health Research Aragón (ISS Aragón)
Cristian Aragón‑Benedí1, Ana Pascual‑Bellosta1, Sonia Ortega‑Lucea1,
Javier Martínez‑Ubieto1, Luis Alfonso Muñoz‑Rodríguez1, Guillermo Pérez‑Navarro1,
Natividad Quesada‑Gimeno1, Lucía Tardós‑Ascaso1, Sara Visiedo‑Sánchez2, Teresa
Jiménez‑Bernadó3, Berta Pérez‑Otal3 & Francisco Romero‑Caro3 Cristian Aragón‑Benedí1, Ana Pascual‑Bellosta1, Sonia Ortega‑Lucea1,
Javier Martínez‑Ubieto1, Luis Alfonso Muñoz‑Rodríguez1, Guillermo Pérez‑Navarro1,
Natividad Quesada‑Gimeno1, Lucía Tardós‑Ascaso1, Sara Visiedo‑Sánchez2, Teresa
Jiménez‑Bernadó3, Berta Pérez‑Otal3 & Francisco Romero‑Caro3 https://doi.org/10.1038/s41598-022-18917-y Scientific Reports | (2022) 12:14955 |
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https://openalex.org/W3013752240
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https://europepmc.org/articles/pmc7180861?pdf=render
|
English
| null |
Bacillus sp. FPF-1 Produced Keratinase with High Potential for Chicken Feather Degradation
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Molecules/Molecules online/Molecules annual
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Received: 3 February 2020; Accepted: 27 February 2020; Published: 26 March 2020 Abstract: Chicken feathers are predominantly composed of keratin; hence, valorizing the wastes
becomes an imperative. In view of this, we isolated keratinase-producing bacteria and identified
them through the 16S rDNA sequence. The process condition for keratinase activity was optimized,
and electron micrography of the degradation timelines was determined. Keratinolytic bacteria were
isolated and identified as Bacillus sp. FPF-1, Chryseobacterium sp. FPF-8, Brevibacillus sp. Nnolim-K2,
Brevibacillus sp. FPF-12 and Brevibacillus sp. FSS-1; and their respective nucleotide sequences were
deposited in GenBank, with the accession numbers MG214993, MG214994, MG214995, MG214996
and MG214999. The degree of feather degradation and keratinase concentration among the isolates
ranged from 62.5 ± 2.12 to 86.0 ± 1.41(%) and 214.55 ± 5.14 to 440.01 ± 20.57 (U/mL), respectively. In the same vein, 0.1% (w/v) xylose, 0.5% (w/v) chicken feather, an initial fermentation pH of 5.0,
fermentation temperature of 25 ◦C and an agitation speed of 150 rpm, respectively, served as the
optimal physicochemical conditions for keratinase activity by Bacillus sp. FPF-1. The time course
showed that Bacillus sp. FPF-1 yielded a keratinase concentration of 1698.18 ± 53.99(U/mL) at 120 h. The electron microscopic imaging showed completely structural dismemberment of intact chicken
feather. Bacillus sp. FPF-1 holds great potential in the valorization of recalcitrant keratinous biomass
from the agro sector into useful products. Keywords: biodegradation; chicken feathers; keratinase; valorization Keywords: biodegradation; chicken feathers; keratinase; valorization Molecules 2020, 25, 1505; doi:10.3390/molecules25071505 molecules molecules molecules molecules molecules Bacillus sp. FPF-1 Produced Keratinase with High
Potential for Chicken Feather Degradation Nonso E. Nnolim 1,2,*
, Anthony I. Okoh 1,2
and Uchechukwu U. Nwodo 1,2 1
SA-MRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, 5700 Eastern Cape,
South Africa; AOkoh@ufh.ac.za (A.I.O.); UNwodo@ufh.ac.za (U.U.N.)
2
Applied and Environmental Microbiology Research Group (AEMREG), Department of Biochemistry and
Microbiology, University of Fort Hare, Private Bag X1314, Alice, 5700 Eastern Cape, South Africa
*
Correspondence: nnnolim@ufh.ac.za; Tel.: +27-406-022-693 1
SA-MRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice, 5700 Eastern Cape,
South Africa; AOkoh@ufh.ac.za (A.I.O.); UNwodo@ufh.ac.za (U.U.N.)
2
Applied and Environmental Microbiology Research Group (AEMREG), Department of Biochemistry and
Microbiology, University of Fort Hare, Private Bag X1314, Alice, 5700 Eastern Cape, South Africa
*
Correspondence: nnnolim@ufh.ac.za; Tel.: +27-406-022-693 1. Introduction Chicken feathers are a significant waste product from poultry processing farms, and the disposal
process has remained incineration, commuting to landfills and limited use as non-nutritive additives
of feed. The composition of chicken feathers includes keratin, which bestows the mechanical stability
associated with chicken feathers, leading to the recalcitrance to degradation [1]. The estimated
abundance of crude protein in the avian feather has been approximated to about 82.36% [2], and this
significant protein content portends an excellent opportunity for the valorization of the agro-waste
biomass to high-value, cost-effective and renewable-source proteins for various applications, including
livestock-feed supplementation. Notwithstanding the potentials presented by avian feathers as a
high-protein source, the ability to dismember the feathers into functional components becomes the key
for the valorization of the agro-waste. The traditional approach for the valorization of feathers involves
endergonic reactions and chemical treatments [3]; these methods are capital intensive, and they produce
a poorly digestible protein which is unsatisfactory as a feed supplement. Besides, the application of
the methods also incorporates other compounds with no known biological importance [4]. Molecules 2020, 25, 1505; doi:10.3390/molecules25071505 www.mdpi.com/journal/molecules Molecules 2020, 25, 1505 2 of 16 Conversely, the use of the microbial-based technique for the dismemberment of the complex
structures constituting the avian feather for high-value products has gained considerable traction. The bio-based approach has been adjudged as eco-friendly, energy-conserving and the protein yields
are of high quality [5]. Consequently, the biodegradation of feather, therefore, represents a cost-effective
and renewable approach for the valorization of agro-waste to high-value products. An account of bacterial and fungal species showing the potentials for the degradation of avian
feathers abound. However, most of the microbes with excellent keratinolytic properties have been
reported to exist among the dermatophytes, and this creates limitations for useful application [5,6]. Keratinolytic bacteria, on the other hand, present a litany of advantage over the fungal counterpart,
including a high rate of extracellular proteolytic enzyme production [7]. The bio-catalytic efficiency
of the keratinases produced by bacteria species tends toward a broad spectrum of proteinaceous
substrates and robust at extreme conditions [8]. Considering the promising applicability of keratinase in green technology, it became imperative to
explore some environment for bacterial diversity with the potentials to produce novel keratinases [6]. Nonetheless, the footprint of keratinases in the market is relatively low, and this further indicates that an
opportunity abounds in the endeavor of obtaining keratinases with novel function. 1. Introduction Therefore, this study
was undertaken to assess the keratinolytic potentials of some bacteria isolated from poultry-composting
sites and to optimize the process conditions for keratinolytic activity. 2.1. Identification of the Keratinase-Producing Bacteria The 16S rDNA nucleotide sequences BLAST showed the isolate coded as FPF-1 to have a high
sequence homology (100%) with Bacillus cereus AB1 (MF800922) and Bacillus thuringiensis WG20
(KY085971); hence, the isolate was identified as Bacillus sp. FPF-1, with an accession number MG214993. The other isolates coded as FPF-10, FPF-12 and FSS-1 showed 99% sequence homology with Brevibacillus
parabrevis C20 (KX832699), Brevibacillus parabrevis NAP3 (KJ872854) and Brevibacillus sp. BAB-6437
(KY672924), respectively. Consequently, they were identified as Brevibacillus sp. Nnolim-K2, Brevibacillus
sp. FPF-12 and Brevibacillus sp. FSS-1. The nucleotide sequences of the isolates were deposited in
GenBank, with the respective accession numbers MG214995, MG214996 and MG214999, as shown
in Table 1. Lastly, the isolate coded as FPF-8 showed 98% sequence homology with Chryseobacterium
culicis R4-1A (NR_117008); therefore, it was identified as Chryseobacterium sp. FPF-8, and the nucleotide
sequence was deposited in GenBank, with accession number MG214994. Table 1. Identification of keratinolytic bacterial isolates, using 16S rDNA sequence. S/N
Isolate Code
Reference Sequence
Sequence
Similarity (%)
Sequence
Identity
NCBI Accession
Number
1. FPF-1
Bacillus cereus AB1
(MF800922)
Bacillus thuringiensis
WG20 (KY085971)
100
Bacillus sp. FPF-1
MG214993
2. FPF-8
Chryseobacterium culicis
R4-1A (NR_117008)
98
Chryseobacterium
sp. FPF-8
MG214994
3. FPF-10
Brevibacillus parabrevis
C20 (KX832699)
99
Brevibacillus sp. Nnolim-K2
MG214995
4. FPF-12
Brevibacillus parabrevis
NAP3 (KJ872854)
99
Brevibacillus sp. FPF-12
MG214996
5. FSS-1
Brevibacillus sp. BAB-6437 (KY672924)
99
Brevibacillus sp. FSS-1
MG214999 able 1. Identification of keratinolytic bacterial isolates, using 16S rDNA sequence. 2.2. Evaluation for Keratinolytic Activity The hydrolysis of casein in skimmed milk (halo zones formation on skimmed milk agar) was
an indication that the isolates produced extracellular proteases. Protease activity is relevant and 3 of 16
was an Molecules 2020, 25, 1505
f
The hydrolysis a significant indication of the presences of keratinases. The screening for protease activity as a
potential indicator for keratinase activity is a standard approach for screening and selection of potential
keratinolytic bacteria [9]. The isolates coded as FPF-1, FPF-8, FPF-10, FPF-12 and FSS-1 showed
significant feather degradation in basal medium with chicken feathers as a sole source of carbon and
nitrogen (Figure 1). Consequently, these isolates were used in subsequent studies. The flask containing
isolate coded FPF-8 showed orange-colored broth, which is characteristic of flexirubin-producing
Chryseobacterium species [10]. significant indication of the presences of keratinases. The screening for protease activity as a potential
indicator for keratinase activity is a standard approach for screening and selection of potential
keratinolytic bacteria [9]. The isolates coded as FPF-1, FPF-8, FPF-10, FPF-12 and FSS-1 showed
significant feather degradation in basal medium with chicken feathers as a sole source of carbon and
nitrogen (Figure 1). Consequently, these isolates were used in subsequent studies. The flask
containing isolate coded FPF-8 showed orange-colored broth, which is characteristic of flexirubin-
producing Chryseobacterium species [10]. Figure 1. Biodegradation of intact chicken feathers by the keratinolytic bacterial isolates: (a) before
incubation; and (b) after 96 h of incubation
Figure 1. Biodegradation of intact chicken feathers by the keratinolytic bacterial isolates: (A) before
incubation; and (B) after 96 h of incubation. Figure 1. Biodegradation of intact chicken feathers by the keratinolytic bacterial isolates: (a) before
incubation; and (b) after 96 h of incubation
Figure 1. Biodegradation of intact chicken feathers by the keratinolytic bacterial isolates: (A) before
incubation; and (B) after 96 h of incubation. The residual feathers were harvested and quantified by using the formula in Equation (1), at the
end of fermentation duration, and the degree of degradation was 86.0 ± 1.41 (%) against Bacillus sp. FPF-1, 82.0 ± 1.41 (%) against Chryseobacterium sp. FPF-8, 66.0 ± 2.83 (%) against Brevibacillus sp. Nnolim-K2, 62.5 ± 2.12 (%) against Brevibacillus sp. FPF-12 and 69.5 ± 2.12 (%) against Brevibacillus
sp. FSS-1 (Table 2). The pH of the cell-free broth, the concentrations of keratinase, total protein and
thiol of the same cell-free broth were analyzed. 2.2. Evaluation for Keratinolytic Activity The extracellular keratinase activity by the isolates
ranged from 214.55 ± 5.14 (U/mL) against Brevibacillus sp. Nnolim-K2 to 440.01 ± 20.57 (U/mL) against
Bacillus sp. FPF-1. Perhaps it would be prudent to indicate, at this point, that keratinases mediated
the degradation of chicken feathers, as ample quantities of the enzymes were present in the cell-free
broth. The bacterial isolates thrived on the keratinous biomass as the sole carbon and nitrogen source. In no small degree of certainty, it would be safe to indicate that the isolates produced keratinases [11]. Keratin-degrading efficiency of the test bacteria may be a reflection of the effectiveness of the
t
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k
ti
d
d
d th b
t
i l i
l t
d
i
ti
ti
h
d
i t
The residual feathers were harvested and quantified by using the formula in Equation (1), at
the end of fermentation duration, and the degree of degradation was 86.0 ± 1.41 (%) against Bacillus
sp. FPF-1, 82.0 ± 1.41 (%) against Chryseobacterium sp. FPF-8, 66.0 ± 2.83 (%) against Brevibacillus sp. Nnolim-K2, 62.5 ± 2.12 (%) against Brevibacillus sp. FPF-12 and 69.5 ± 2.12 (%) against Brevibacillus sp. FSS-1 (Table 2). The pH of the cell-free broth, the concentrations of keratinase, total protein and thiol of
the same cell-free broth were analyzed. The extracellular keratinase activity by the isolates ranged from
214.55 ± 5.14 (U/mL) against Brevibacillus sp. Nnolim-K2 to 440.01 ± 20.57 (U/mL) against Bacillus sp. FPF-1. Perhaps it would be prudent to indicate, at this point, that keratinases mediated the degradation
of chicken feathers, as ample quantities of the enzymes were present in the cell-free broth. The bacterial
isolates thrived on the keratinous biomass as the sole carbon and nitrogen source. In no small degree
of certainty, it would be safe to indicate that the isolates produced keratinases [11]. Keratin-degrading
efficiency of the test bacteria may be a reflection of the effectiveness of the extracellular keratinase
produced; and the bacterial isolates under investigation showed consistency in that regard [12]. extracellular keratinase produced; and the bacterial isolates under investigation showed consistency
in that regard [12]. The concentration of thiols in the fermentation broth ranged from 461.69 ± 5.53 (μM) against
Brevibacillus sp. FPF-12 to 2206.59 ± 49.79 (μM) against Bacillus sp. FPF-1. 2.2. Evaluation for Keratinolytic Activity Disulfide bond reduction
was identified to promote complete decomposition of keratin through structural modification
significantly; and such structural alteration increases the vulnerability of keratin to proteolytic
p
g
y
g
The concentration of thiols in the fermentation broth ranged from 461.69 ± 5.53 (µM) against
Brevibacillus sp. FPF-12 to 2206.59 ± 49.79 (µM) against Bacillus sp. FPF-1. Disulfide bond reduction was
identified to promote complete decomposition of keratin through structural modification significantly;
and such structural alteration increases the vulnerability of keratin to proteolytic hydrolysis [13]. The pH of the fermented broth drifted from slightly acidic (initial fermentation pH) to alkaline; 7.35
± 0.00 against Brevibacillus sp. FPF-12 to 8.53 ± 0.02 against Chryseobacterium sp. FPF-8 (Table 2). Biodegradation of keratinous biomass has been reported to instigate ammonification of the fermentation
medium [14], which causes a drift in the medium pH toward the alkaline spectrum. extracellular keratinase produced; and the bacterial isolates under investigation showed consistency
in that regard [12]. The concentration of thiols in the fermentation broth ranged from 461.69 ± 5.53 (μM) against
Brevibacillus sp. FPF-12 to 2206.59 ± 49.79 (μM) against Bacillus sp. FPF-1. Disulfide bond reduction
was identified to promote complete decomposition of keratin through structural modification
significantly; and such structural alteration increases the vulnerability of keratin to proteolytic
The concentration of thiols in the fermentation broth ranged from 461.69 ± 5.53 (µM) against
Brevibacillus sp. FPF-12 to 2206.59 ± 49.79 (µM) against Bacillus sp. FPF-1. Disulfide bond reduction was
identified to promote complete decomposition of keratin through structural modification significantly;
and such structural alteration increases the vulnerability of keratin to proteolytic hydrolysis [13]. The pH of the fermented broth drifted from slightly acidic (initial fermentation pH) to alkaline; 7.35
± 0.00 against Brevibacillus sp. FPF-12 to 8.53 ± 0.02 against Chryseobacterium sp. FPF-8 (Table 2). Biodegradation of keratinous biomass has been reported to instigate ammonification of the fermentation
medium [14], which causes a drift in the medium pH toward the alkaline spectrum. 4 of 16 Molecules 2020, 25, 1505 Table 2. Keratinolytic activities of the bacterial fermentation from chicken feathers. S/N
Isolate
Keratinase
Activity (U/mL)
Protein
Concentration
(µg/mL)
Thiol
Concentration
(µM)
Final pH
Feather
Weight Loss
(%)
1. Bacillus sp. FPF-1
440.01 ± 20.57 c
759.97 ± 22.29 d
2206.59 ± 49.79 d
8.09 ± 0.01 d
86.0 ± 1.41 c
2. Chryseobacterium sp. 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FPF-1 Upon evaluating the influence of initial fermentation pH on keratinase activity, respectively,
fermentation occurred at pH 4.0 to 10.0, and the observation was that Bacillus sp. FPF-1 produced
keratinase at all the pH for which fermentation was initiated. However, Bacillus sp. FPF-1 optimally
produced keratinase at weak acidic pH 5.0. Conversely, the total protein concentration in the broth increased as the pH tended toward alkaline
and was markedly high with the initial formation pH 10.0 (Figure 2). The reason behind the observed
phenomenon is not apparent. However, a logical interpretation may be that the test bacteria produced
other enzymes, which cleaved the chicken feather into protein subunits, different from keratinases. A few studies have reported an initial ambient pH from weak acidic to neutral [16,17], and this
observation is in accord with our findings. Molecules 2020, 25, x FOR PEER REVIEW
5 of 17 Figure 2. Effect of initial cultivation pH on keratinase activity by Bacillus sp. FPF-1. 0
100
200
300
400
500
600
700
800
900
0
200
400
600
800
1000
1200
1400
1600
4
5
6
7
8
9
10
Protein concentration (µg/mL)
Keratinase activity (U/mL)
Initial medium pH
Keratinase activity
Protein concentration
Figure 2. Effect of initial cultivation pH on keratinase activity by Bacillus sp. FPF-1. Figure 2. Effect of initial cultivation pH on keratinase activity by Bacillus sp. FPF-1. Figure 2. Effect of initial cultivation pH on keratinase activity by Bacillus sp. FPF-1. In consideration of the effect of carbon sources, other than the chicken feather, on the production
of keratinases by Bacillus sp. FPF-1, xylose showed a considerable influence with keratinase yield at
1155.45 ± 52.71 (U/mL) (Figure 3). Subsequently, xylose concentration was varied from 0.08% to 1.0%
( / )
d 0 1%
h
i
i
i
i ld d
k
i
i
f 1096 36
With Bacillus species in perspective, keratinase activity by some has been reported to occur
between neutral and alkaline pH condition. A good example would be B. pumilus GRK, which actively
produced keratinase between pH 8.0 and 12.0, achieving the maximum keratinase activity at optimum In consideration of the effect of carbon sources, other than the chicken feather, on the production
of keratinases by Bacillus sp. FPF-1, xylose showed a considerable influence with keratinase yield at
1155.45 ± 52.71 (U/mL) (Figure 3). 2.2. Evaluation for Keratinolytic Activity FPF-8
260.0 ± 25.71 b
279.35 ± 24.51 b
1028.98 ± 88.53 c
8.53 ± 0.02 e
82.0 ± 1.41 c
3. Brevibacillus sp. Nnolim-K2
214.55 ± 5.14 a
160.38 ± 38.99 a
465.59 ± 11.07 a
7.43 ± 0.02 b
66.0 ± 2.83 ab
4. Brevibacillus sp. FPF-12
233.18 ± 12.21ab
287.23 ± 20.06 b
461.69 ± 5.53 a
7.35 ± 0.00 a
62.5 ± 2.12 a
5. Brevibacillus sp. FSS-1
252.73 ± 5.14 ab
639.42 ± 34.54 c
755.11 ± 0.00 b
7.51 ± 0.03 c
69.5 ± 2.12 b
The values are presented as the mean and standard deviation of triplicate experiments; the values without the same
superscript letters down the column are significantly different (P < 0.05). Table 2. Keratinolytic activities of the bacterial fermentation from chicken feathers. Consequently, the process of alkalization of the medium causes substrate swelling, which
ultimately weakens the mechanical stability of keratin, hence, yielding to more efficient keratinolytic
attack [15]—considering the keratinolytic activities of the bacterial isolates, Bacillus sp. FPF-1 displayed
unusual keratinolytic activity; therefore, it was selected for the rest of the studies reported afterward. 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP Subsequently, xylose concentration was varied from 0.08% to 1.0%
( / )
d 0 1%
th
ti
t
ti
it
i ld d
k
ti
t
ti
f 1096 36 ±
With Bacillus species in perspective, keratinase activity by some has been reported to occur
between neutral and alkaline pH condition. A good example would be B. pumilus GRK, which actively
produced keratinase between pH 8.0 and 12.0, achieving the maximum keratinase activity at optimum 5 of 16 Molecules 2020, 25, 1505 initial pH 10.0 [18]. Bacillus licheniformis ER-15 similarly produced keratinase within the pH range of
7.0 to 10.0, and the optimum initial fermentation pH was 7.0 [14]. Reports abound on the alkalophilic
nature of keratinase-producing Bacillus species. However, the acidophilic nature of Bacillus sp. FPF-1,
which is the focus of the study, might be an embodiment of unique biotechnological potentials this
bacterial strain might hold in the valorization value chain. In consideration of the effect of carbon sources, other than the chicken feather, on the production
of keratinases by Bacillus sp. FPF-1, xylose showed a considerable influence with keratinase yield at
1155.45 ± 52.71 (U/mL) (Figure 3). Subsequently, xylose concentration was varied from 0.08% to 1.0%
(w/v), and 0.1% was the optimum concentration, as it yielded a keratinase concentration of 1096.36 ±
120.85 (U/mL) (Figure 4). Beyond 0.1%, the concentration of xylose in the medium the effect was not
positive, as the keratinase concentration in the broth did not increase. The mechanism for which xylose
in the fermentation medium influenced/enhanced keratinase activity is unclear; however, it may have
upregulated the expression of keratinase gene in Bacillus sp. FPF-1. In a similar study, 0.5% xylose was
used as the fermentation medium, and Bacillus amyloliquefaciens B6 achieved a higher concentration of
keratinase [19]. Molecules 2020, 25, x FOR PEER REVIEW
6 of 17
Molecules 2020 25 x FOR PEER REVIEW
6 of 17 Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. Figure 4. The effect of xylose concentrations on keratinase activity by Bacillus sp. FPF-1. 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP The supplementation of the fermentation medium with organic and inorganic nitrogen sources
0
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Keratinase activity
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Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. ,
,
Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. Figure 4. The effect of xylose concentrations on keratinase activity by Bacillus sp. FPF-1. The supple
e tatio
of the fe
e tatio
ediu
ith o ga ic a d i o ga ic
it oge
sou ces
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Keratinase activity
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Figure 4. The effect of xylose concentrations on keratinase activity by Bacillus sp. FPF-1. Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. 0
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Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. 0
200
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Protein concentration Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP 0
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Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. 0
200
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Protein concentration Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. Figure 3. The influence of saccharide supplementation of medium for enhanced keratinase activity by
Bacillus sp. FPF-1. Figure 4. The effect of xylose concentrations on keratinase activity by Bacillus sp. FPF-1. Th
l
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Figure 4. The effect of xylose concentrations on keratinase activity by Bacillus sp. FPF-1. 0
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Protein concentration
Figure 4. The effect of xylose concentrations on keratinase activity by Bacillus sp. FPF-1. Figure 4. The effect of xylose concentrations on keratinase activity by Bacillus sp. FPF-1. Figure 4. The effect of xylose concentrations on keratinase activity by Bacillus sp. FPF-1. Figure 4. The effect of xylose concentrations on keratinase activity by Bacillus sp. FPF-1. Molecules 2020, 25, 1505 6 of 16 Other carbon sources showed a different pattern of influence on keratinase activity by Bacillus sp. FPF-1. Glucose decreased keratinase activity, as the yield was at 367.27 ± 53.99 (U/mL) as compared to
the control with yield of 793.64 ± 42.43 (U/mL). 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP Perhaps it would be prudent to indicate that catabolite
repression may have been responsible for the phenomenon observed, as it is a known factor with
the utilization of simple sugars as against a complex substrate [20,21]. Keratinase activity with the
addition of the fructose, sucrose, and galactose, respectively were 889.99 ± 26.99, 935.45 ± 42.43 and
923.63 ± 10.28 (U/mL). Keratinase yield with these carbon sources were slightly higher than the control
(P > 0.05); hence, they may serve as good inducers for keratinase activity (Figure 3). Mannitol, maltose
and lactose neither significantly influence keratinase activity nor repressed the production. The supplementation of the fermentation medium with organic and inorganic nitrogen sources
showed that Bacillus sp. FPF-1 produced lower quantities of keratinase across all the spectrum of
supplemented nitrogen sources (Figure 5). Bacillus sp. FPF-1 would have preferentially utilized
these nitrogen sources against the degradation of the keratinous biomass, and this concept may have
accounted for the lower quantity of keratinases measured in the fermentation broth. Molecules 2020, 25, x FOR PEER REVIEW
7 of 17
B. licheniformis MZK-3 were influenced to produce keratinases in the presence of additional
nitrogenous source [22,23]. However, Bacillus sp. FPF-1 produced keratinases at a higher
concentration in the absence of a nitrogen source other than chicken feathers, and an industrial
prospect abound for the bacterial strain. Figure 5. The effect of nitrogen supplementation on keratinase activity by Bacillus sp. FPF-1. 0
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Protein concentration (μg/mL)
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Supplemented nitrogen source (0.02%, w/v)
Keratinase activity
Protein concentration
Figure 5. The effect of nitrogen supplementation on keratinase activity by Bacillus sp. FPF-1. Figure 5. The effect of nitrogen supplementation on keratinase activity by Bacillus sp. FPF-1. Figure 5. The effect of nitrogen supplementation on keratinase activity by Bacillus sp. FPF-1. The chicken feather concentration that was optimum for keratinase activity was at 0.5% (w/v) in
the fermentation medium containing a 2% (v/v) starter culture with cell concentration of about 1 × 108
CFU/mL (Figure 6). A further increase in the concentration of the chicken feather beyond 0.5%
resulted in a constant decline in keratinase activity by Bacillus sp. FPF-1. 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP However, the converse was
the case with the total protein content measured in the fermentation broth; as the concentration of
keratinase declined from 790.91 ± 10.29 to 714.55 ± 77.14 to 582.73 ± 26.99 (U/mL) with the respective
chicken feather concentrations 0.75%, 1.0% and 1.25% (w/v), the total protein concentration in the
fermentation medium increased as follows; 277.77 ± 2.23, 385.72 ± 10.03 and 408.57 ± 2.23 (µg/mL),
respectively. The presence of a high concentration of total protein in the fermentation broth may be
understood, as high potent keratinases breaking down the keratinous biomass faster than the
producing bacteria is able to utilize, hence, the high concentration. Consequently, if the needed
it
il bl f
i
il ti
th
t
ll
th
i
ld d
l t
Again, the total protein concentration in the fermentation broth was considerably higher with the
ammonium salts; (NH4)2HPO4, (NH4)H2PO4, NH4Cl, NH4NO3 and (NH4)2SO4 yielded 717.42 ± 6.69,
746.57±1.11, 779.66 ± 25.63, 596.08 ± 191.6 and 736.33 ± 6.69 (µg/mL), respectively (Figure 5). It may be
inferred that these ammonium salts influenced the production of some sorts of proteases, which are not
keratinases. Consequently, the presence of more proteins in the fermentation supplemented with the
salts compared to the control. These proteases may have acted upon cleaved units from the complex
chicken feather structure. Complex nitrogen sources, including yeast extract, showed negligible
effluence, which was statistically insignificant (P > 0.05). Xanthomonas sp. P5 and B. licheniformis
MZK-3 were influenced to produce keratinases in the presence of additional nitrogenous source [22,23]. However, Bacillus sp. FPF-1 produced keratinases at a higher concentration in the absence of a nitrogen
source other than chicken feathers, and an industrial prospect abound for the bacterial strain. nitrogen source were available for assimilation, then naturally the organisms would downregulate
the keratinase-expressing gene. Perhaps other enzymes that are different from keratinases are
responsible for the cleavage of some peptides or proteins to forms assimilable by Bacillus sp. FPF-1. A similar phenomenon as described above has been reported previously. However, the reason
advanced for the process was a reduction in dissolved oxygen concentration as a result of high
viscosity of basal medium, hence, limiting the optimal activity of the microbial species [19,24]. 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP A similar pattern was observed with the total
protein concentration of the fermentation broth; at 25 °C (1189.37 ± 23.39 µg/mL), 30 °C (617.36 ± 5.57
µg/mL), 35 °C (242.32 ± 16.71 µg/mL) and 40 °C (124.92 ± 2.29 µg/mL). The findings only buttress the
supposition that keratinases have a high substrate-to-product conversion rate and that other
enzymes, which may be heat labile, are also in play in the conversion of polymers to proteins. The presence of a high concentration of total protein in the fermentation broth may be understood,
as high potent keratinases breaking down the keratinous biomass faster than the producing bacteria
is able to utilize, hence, the high concentration. Consequently, if the needed nitrogen source were
available for assimilation, then naturally the organisms would downregulate the keratinase-expressing
gene. Perhaps other enzymes that are different from keratinases are responsible for the cleavage of
some peptides or proteins to forms assimilable by Bacillus sp. FPF-1. y
y
p y
p
y
p
However, organisms are unique and so are their characteristics; some keratinase-producing
bacteria have functioned well at temperatures ranging from 25 to 40 °C [17,25,26]. Thermophilic
keratinase-producing bacteria with optimum temperatures ranging from 50 to 70 °C have been
reported [27–29]. However, Bacillus sp. FPF-1 may be graded as mesophilic, and the biotechnological
significance would include a low energy input in a large-scale fermentation. A similar phenomenon as described above has been reported previously. However, the reason
advanced for the process was a reduction in dissolved oxygen concentration as a result of high viscosity
of basal medium, hence, limiting the optimal activity of the microbial species [19,24]. Although the
pattern of results was similar, we submit that a more logical explanation would lie on the simple
concept of enzyme–substrate–gene regulation. 1000
1200
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1600
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1000
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1400
1600
1800
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2200
entration (μg/mL)
activity (U/mL)
The variation of the fermentation temperature showed that Bacillus sp. FPF-1 optimally produced
keratinase at 25 ◦C (1918.18 ± 64.28 U/mL). As the fermentation temperature increased, keratinase
activity decreased consistently (Figure 7). A similar pattern was observed with the total protein
concentration of the fermentation broth; at 25 ◦C (1189.37 ± 23.39 µg/mL), 30 ◦C (617.36 ± 5.57 µg/mL),
35 ◦C (242.32 ± 16.71 µg/mL) and 40 ◦C (124.92 ± 2.29 µg/mL). 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP Although the pattern of results was similar, we submit that a more logical explanation would lie on
p
p
The chicken feather concentration that was optimum for keratinase activity was at 0.5% (w/v) in
the fermentation medium containing a 2% (v/v) starter culture with cell concentration of about 1 × 108
CFU/mL (Figure 6). A further increase in the concentration of the chicken feather beyond 0.5% resulted
in a constant decline in keratinase activity by Bacillus sp. FPF-1. However, the converse was the case
with the total protein content measured in the fermentation broth; as the concentration of keratinase
declined from 790.91 ± 10.29 to 714.55 ± 77.14 to 582.73 ± 26.99 (U/mL) with the respective chicken 7 of 16 Molecules 2020, 25, 1505 feather concentrations 0.75%, 1.0% and 1.25% (w/v), the total protein concentration in the fermentation
medium increased as follows; 277.77 ± 2.23, 385.72 ± 10.03 and 408.57 ± 2.23 (µg/mL), respectively. Molecules 2020, 25, x FOR PEER REVIEW
8 of 17 feather concentrations 0.75%, 1.0% and 1.25% (w/v), the total protein concentration in the fermentation
medium increased as follows; 277.77 ± 2.23, 385.72 ± 10.03 and 408.57 ± 2.23 (µg/mL), respectively. Molecules 2020, 25, x FOR PEER REVIEW
8 of 17 Figure 6. The effect of chicken feather concentration on keratinase activity by Bacillus sp. FPF-1. 0
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Protein concentration (μg/mL)
Keratinase activity (U/mL)
Chicken feather (%; w/v)
Keratinase activity
Protein concentration
Figure 6. The effect of chicken feather concentration on keratinase activity by Bacillus sp. FPF-1. 0.75 Chicken feather (%; w/v) Figure 6. The effect of chicken feather concentration on keratinase activity by Bacillus sp. FPF-1. Figure 6. The effect of chicken feather concentration on keratinase activity by Bacillus sp. FPF-1. Figure 6. The effect of chicken feather concentration on keratinase activity by Bacillus sp. FPF-1. Figure 6. The effect of chicken feather concentration on keratinase activity by Bacillus sp. FPF-1. The variation of the fermentation temperature showed that Bacillus sp. FPF-1 optimally
produced keratinase at 25 °C (1918.18 ± 64.28 U/mL). As the fermentation temperature increased,
keratinase activity decreased consistently (Figure 7). 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP The findings only buttress the supposition
that keratinases have a high substrate-to-product conversion rate and that other enzymes, which may
be heat labile, are also in play in the conversion of polymers to proteins. 0
200
400
600
800
0
200
400
600
800
1000
Protein conce
Keratinase
However, organisms are unique and so are their characteristics; some keratinase-producing
bacteria have functioned well at temperatures ranging from 25 to 40 ◦C [17,25,26]. Thermophilic
keratinase-producing bacteria with optimum temperatures ranging from 50 to 70 ◦C have been
reported [27–29]. However, Bacillus sp. FPF-1 may be graded as mesophilic, and the biotechnological
significance would include a low energy input in a large-scale fermentation. Molecules 2020, 25, 1505
reported [27–29]. H 8 of 16
ological Figure 7. The effect of incubation temperature on keratinase activity by Bacillus sp. FPF-1. 0
200
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Protein concentration (μg/mL)
Keratinase activity (U/mL)
Incubation temperature (°Ϲ)
Keratinase activity
Protein concentration
Figure 7. The effect of incubation temperature on keratinase activity by Bacillus sp. FPF-1. Molecules 2020, 25, x FOR PEER REVIEW
9 of 17
The impact of aeration on keratinase activity by Bacillus sp. FPF-1 showed that an agitation speed
of 150 rpm was optimal (1914.54 ± 205.70 U/mL), and at higher agitation speed (200 rpm), keratinase
activity drastically reduced (Figure 8). The total protein concentration followed a similar pattern as
keratinase activity. Although agitation of a fermentation process suffices as a measure for aeration, it
also serves other purposes, including homogeneity in nutrient access for cells in the fermentation
process. h d
l
k
b
b
d
h
h
d b
h h
h Incubation temperature (°Ϲ)
y y
p
05.70 U/mL), and at higher ag Figure 7. The effect of incubation temperature on keratinase activity by Bacillus sp. FPF-1. Figure 7. The effect of incubation temperature on keratinase activity by Bacillus sp. FPF-1. p
p
,
g
g
y The impact of aeration on keratinase activity by Bacillus sp. FPF-1 showed that an agitation
speed of 150 rpm was optimal (1914.54 ± 205.70 U/mL), and at higher agitation speed (200 rpm),
keratinase activity drastically reduced (Figure 8). The total protein concentration followed a similar
pattern as keratinase activity. 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP The pH of the fermentation broth decreased
from the initial pH 5.0 to 4.5 ± 0.00 after 24 h of cultivation, and then it increased until 192 h of
i
ubatio
ith a
a i
u
alue of 8 5 ± 0 01 (Fi u e 9) The
lau ible e
la atio
fo the ob e
ed
0
500
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2000
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500
1000
1500
2000
2500
0
50
100
150
200
Protein concentration (μg/mL)
Keratinase activity (U/mL)
Agitation speed (rpm)
Keratinase activity
Protein concentration
Figure 8. The effect of agitation speed on keratinase activity by Bacillus sp. FPF-1. The decline in keratinase activity may be attributed to the shear stress occasioned by the high
agitation speed, which may have disrupted the integrity of the bacterial cells and, ultimately, affected the
productivity [30]. However, if the integrity of the bacterial cells was not compromised, the conditions
may not have been suitable for the desired metabolic processes. The peculiarity of organisms also
influences their needs, and as such, Pseudomona stutzeri K4 [31], Arthrobacter sp. NFH5 [32] and Bacillus Figure 8. The effect of agitation speed on keratinase activity by Bacillus sp. FPF-1. 0
500
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0
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Protein concentration (μg/mL)
Keratinase activity (U/mL)
Agitation speed (rpm)
Keratinase activity
Protein concentration
Figure 8. The effect of agitation speed on keratinase activity by Bacillus sp. FPF-1. Figure 8. The effect of agitation speed on keratinase activity by Bacillus sp. FPF-1. Figure 8. The effect of agitation speed on keratinase activity by Bacillus sp. FPF-1. 2.4. Time Course Profile of the Keratinolytic Activity by Bacillus sp. FPF-1
Keratinase activity time course by Bacillus sp. FPF-1 studied over 192 h showed that the active
growth stage of the organism is very crucial, as keratinase concentration in the fermentation medium
remained high; 1698.18 ± 53.99 (U/mL) was achieved in 120 h, and that was the optimum. Beyond 120
h, the keratinase concentration significantly declined. The pH of the fermentation broth decreased
The decline in keratinase activity may be attributed to the shear stress occasioned by the high
agitation speed, which may have disrupted the integrity of the bacterial cells and, ultimately, affected the
productivity [30]. However, if the integrity of the bacterial cells was not compromised, the conditions
may not have been suitable for the desired metabolic processes. 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP Although agitation of a fermentation process suffices as a measure
for aeration, it also serves other purposes, including homogeneity in nutrient access for cells in the
fermentation process. The decline in keratinase activity may be attributed to the shear stress occasioned by the high
agitation speed, which may have disrupted the integrity of the bacterial cells and, ultimately, affected
the productivity [30]. However, if the integrity of the bacterial cells was not compromised, the
conditions may not have been suitable for the desired metabolic processes. The peculiarity of
organisms also influences their needs, and as such, Pseudomona stutzeri K4 [31], Arthrobacter sp. NFH5
[32] and Bacillus altitudinis GVC11 [33] were reported to optimally produce keratinases at an agitation
speed peculiar to the respective organism. The impact of aeration on keratinase activity by Bacillus sp. FPF-1 showed that an agitation
speed of 150 rpm was optimal (1914.54 ± 205.70 U/mL), and at higher agitation speed (200 rpm),
keratinase activity drastically reduced (Figure 8). The total protein concentration followed a similar
pattern as keratinase activity. Although agitation of a fermentation process suffices as a measure
for aeration, it also serves other purposes, including homogeneity in nutrient access for cells in the
fermentation process. The decline in keratinase activity may be attributed to the shear stress occasioned by the high
agitation speed, which may have disrupted the integrity of the bacterial cells and, ultimately, affected
the productivity [30]. However, if the integrity of the bacterial cells was not compromised, the
conditions may not have been suitable for the desired metabolic processes. The peculiarity of
organisms also influences their needs, and as such, Pseudomona stutzeri K4 [31], Arthrobacter sp. NFH5
[32] and Bacillus altitudinis GVC11 [33] were reported to optimally produce keratinases at an agitation
speed peculiar to the respective organism. Figure 8. The effect of agitation speed on keratinase activity by Bacillus sp. FPF-1. 2.4. Time Course Profile of the Keratinolytic Activity by Bacillus sp. FPF-1
Keratinase activity time course by Bacillus sp. FPF-1 studied over 192 h showed that the active
growth stage of the organism is very crucial, as keratinase concentration in the fermentation medium
remained high; 1698.18 ± 53.99 (U/mL) was achieved in 120 h, and that was the optimum. Beyond 120
h, the keratinase concentration significantly declined. 2.4. Time Course Profile of the Keratinolytic Activity by Bacillus sp. FPF-1 Keratinase activity time course by Bacillus sp. FPF-1 studied over 192 h showed that the active
growth stage of the organism is very crucial, as keratinase concentration in the fermentation medium
remained high; 1698.18 ± 53.99 (U/mL) was achieved in 120 h, and that was the optimum. Beyond 120
h, the keratinase concentration significantly declined. The pH of the fermentation broth decreased
from the initial pH 5.0 to 4.5 ± 0.00 after 24 h of cultivation, and then it increased until 192 h of
incubation, with a maximum value of 8.5 ± 0.01 (Figure 9). The plausible explanation for the observed
trend would be the metabolites secreted by the microbe, as well the products of enzyme activities. The metabolites secreted at the early stages that made the medium more acidic may include the organic
acid. At subsequent stages, alkaline-based metabolites would have dominated, and they would include
nitrogen-related metabolites. Alkalization is brought about, predominantly, by the deamination of
amino acids that emanate from keratin fragmentation [24]. Molecules 2020, 25, x FOR PEER REVIEW
10 of 17
period may be due to the utilization of the thiol groups’ containing products faster than the enzymes
converted the products, or the thiol groups were not liberated. The concentration of thiol groups
liberated by Bacillus sp. FPF-1 is significantly higher than has been reported for Bacillus sp. MBRL 575
[34] and Stenotrophomonas maltophilia R13 [25]. Consequently, Bacillus sp. FPF-1 presents a potential
for exploitation as an industrially relevant microbe. Figure 9. Time courses profile of keratinolytic activity by Bacillus sp. FPF-1 in an optimized
fermentation medium at 25 °C and 150 rpm. 0
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Keratinase activity (U/mL); Thiol concentration
(µM) &
Protein concentration (µg/mL)
pH & OD600nm
Incubation time (h)
pH
Cell growth
Keratinase activity
Protein concentration
Thiol concentration
Figure 9. Time courses profile of keratinolytic activity by Bacillus sp. FPF-1 in an optimized fermentation
medium at 25 ◦C and 150 rpm. Figure 9. Time courses profile of keratinolytic activity by Bacillus sp. FPF-1 in an optimized
fermentation medium at 25 °C and 150 rpm. Figure 9. Time courses profile of keratinolytic activity by Bacillus sp. FPF-1 in an optimized fermentation
medium at 25 ◦C and 150 rpm. 2.5. 2.3. Optimization of Extracellular Keratinase Activity and Total Protein Production by Bacillus sp. FP The peculiarity of organisms also
influences their needs, and as such, Pseudomona stutzeri K4 [31], Arthrobacter sp. NFH5 [32] and Bacillus 2.4. Time Course Profile of the Keratinolytic Activity by Bacillus sp. FPF-1
Keratinase activity time course by Bacillus sp. FPF-1 studied over 192 h showed that the active
growth stage of the organism is very crucial, as keratinase concentration in the fermentation medium
remained high; 1698.18 ± 53.99 (U/mL) was achieved in 120 h, and that was the optimum. Beyond 120
h, the keratinase concentration significantly declined. The pH of the fermentation broth decreased
The decline in keratinase activity may be attributed to the shear stress occasioned by the high
agitation speed, which may have disrupted the integrity of the bacterial cells and, ultimately, affected the
productivity [30]. However, if the integrity of the bacterial cells was not compromised, the conditions
may not have been suitable for the desired metabolic processes. The peculiarity of organisms also
influences their needs, and as such, Pseudomona stutzeri K4 [31], Arthrobacter sp. NFH5 [32] and Bacillus Molecules 2020, 25, 1505 9 of 16 altitudinis GVC11 [33] were reported to optimally produce keratinases at an agitation speed peculiar to
the respective organism. 2.5. Biodegradation of Intact Chicken Feather—Structural Evaluation 2.5. Biodegradation of Intact Chicken Feather—Structural Evaluation The electron microscopic imaging of the chicken feather degradation showed the dismemberment
of the structurally intact feather (Figure 10). As would be seen with Figure 10a, the feather is intact
with all shafts and vane in place, and the integrity of the barbules were intact on the vane. However,
as fermentation progressed, the barbules were completed degraded from the vane (Figure 10b), and
the vane likewise was completely degraded in Figure 10c. All of these events occurred within 72
h of fermentation with Bacillus sp. FPF-1. In addition, beyond 72 h, it was clear that the organism
had the potential to bio-convert the shaft, as a complete degradation was also achieved (Figure 10d). The imaging of chicken feather degradation by for B. licheniformis RG1 showed a similar pattern [35]. However, considerable chicken feather degradation was implemented by extensively studied Bacillus
licheniformis PWD-1 after 10 days of incubation [36]. Again, the significance of the imaging process
includes the understanding of the degradation pattern. Therefore, at a scale-up process, the nature of
feedstock is essential for optimal product yields. Molecules 2020, 25, x FOR PEER REVIEW
11 of 17 Figure 10. Electron micrography of feather degradation by Bacillus sp. FPF-1: (a) control (un-
inoculated feather); (b) chicken feather at 24 h of fermentation; (c) feathers after 48 h fermentation;
and (d) feathers after 72 h of cultivation. Figure 10. Electron micrography of feather degradation by Bacillus sp. FPF-1: (a) control (un-inoculated
feather); (b) chicken feather at 24 h of fermentation; (c) feathers after 48 h fermentation; and (d) feathers
after 72 h of cultivation. Figure 10. Electron micrography of feather degradation by Bacillus sp. FPF-1: (a) control (un-
inoculated feather); (b) chicken feather at 24 h of fermentation; (c) feathers after 48 h fermentation;
and (d) feathers after 72 h of cultivation. Figure 10. Electron micrography of feather degradation by Bacillus sp. FPF-1: (a) control (un-inoculated
feather); (b) chicken feather at 24 h of fermentation; (c) feathers after 48 h fermentation; and (d) feathers
after 72 h of cultivation. 2.4. Time Course Profile of the Keratinolytic Activity by Bacillus sp. FPF-1 Biodegradation of Intact Chicken Feather—Structural Evaluation
The electron microscopic imaging of the chicken feather degradation showed the
dismemberment of the structurally intact feather (Figure 10). As would be seen with Figure 10a, the
feather is intact with all shafts and vane in place, and the integrity of the barbules were intact on the
vane. However, as fermentation progressed, the barbules were completed degraded from the vane
(Figure 10b), and the vane likewise was completely degraded in Figure 10c. All of these events
occurred within 72 h of fermentation with Bacillus sp. FPF-1. In addition, beyond 72 h, it was clear
that the organism had the potential to bio-convert the shaft, as a complete degradation was also
achieved (Figure 10d). The imaging of chicken feather degradation by for B. licheniformis RG1 showed
a similar pattern [35]. However, considerable chicken feather degradation was implemented by
The thiol concentration was negligible at 48 h of fermentation (Figure 9). Nevertheless, as
fermentation progressed, thiol production gradually increased, and a maximum concentration of
379.53 ± 22.13 (µM) was observed after 96 h of fermentation. The thiol concentration declined after 168
h of fermentation, and it may be understood to reflect the reduction in keratinase activity occasioned
by reduced disulfide bond breakage in the polymer. Moreover, the presence of thiol groups suggests
effective disulfide bonds reduction and the liberation of free-sulfhydryl-group-containing products. The negligible presence of thiol groups during the early stages of fermentation period may be due to
the utilization of the thiol groups’ containing products faster than the enzymes converted the products,
or the thiol groups were not liberated. The concentration of thiol groups liberated by Bacillus sp. FPF-1
is significantly higher than has been reported for Bacillus sp. MBRL 575 [34] and Stenotrophomonas Molecules 2020, 25, 1505 10 of 16 maltophilia R13 [25]. Consequently, Bacillus sp. FPF-1 presents a potential for exploitation as an
industrially relevant microbe. 3.4. Feather Hydrolysis Assay The degree of feather degradation by the test bacteria was determined by the weight-loss approach,
as previously described by Reddy et al. [18]. The fermentation broth was filtered (Whatman®no. 1,
Johannesburg, Gauteng, South Africa) to recover undegraded feathers, and subsequently washed with
distilled water to remove cell biomass. The residual feathers were oven-dried at 60 ◦C for 24 h, and the
constant weight was achieved. The degree of feather degradation was calculated and expressed as a
percentage, as shown in Equation (1) below: Percentage feather hydrolysis (%) = (1 −RF/WF) × 100
(1) (1) where RF is the weight of residual feathers after fermentation; and WF is the weight of intact feathers
before fermentation. where RF is the weight of residual feathers after fermentation; and WF is the weight of intact feathers
before fermentation. 3.3. Preliminary Assessment of Isolates for Proteolytic and Keratinolytic Activities The proteolytic activity of the isolates was evaluated by inoculating skimmed milk agar (SMA)
plates containing (g/L); K2HPO4, 0.3; KH2PO4, 0.4; MgCl2, 0.2; CaCl2, 0.22; NH4Cl, 0.5; skimmed milk,
10 and bacteriological agar, 15 [9], with 10 µL of the standardized bacterial suspension (equivalent to
1 × 108 CFU/mL). The inoculum was prepared and adjusted to 0.1 at 600 nm. The standardization
approach was used for all inoculum preparation, unless stated otherwise. The plates were incubated at
30 ◦C for 24 h, and halo zone formation was an indication of casein hydrolysis. Isolates positive for proteolytic activity were then evaluated for keratinolytic activity. A 2% (v/v)
standardized culture was inoculated into 98 mL of sterile basal media containing a 1% (w/v) intact
chicken feather as sole carbon and nitrogen source [38]. The culture was incubated at 30 ◦C for 96 h
in a rotary shaker (130 rpm). The flasks were monitored for observable feather degradation, and
fermentation broth was analyzed accordingly. Stock culture of potent chicken feather degrading
bacteria was maintained on PCF agar slants at 4 ◦C, for a fresh inoculum preparation, and another
culture maintained in 20% glycerol at −86 ◦C for long-term storage. 3 1 Keratin—Substrate Preparation
3.1. Keratin—Substrate Preparation p
The keratin substrate was prepared from chicken feathers obtained from a local poultry
processing farm. The feathers were thoroughly rinsed with distilled water and dried at 60 °C for 48
h. Dried feathers were milled with a pulverizer fitted with a 2 mm mesh and stored at room
temperature in an airtight container
The keratin substrate was prepared from chicken feathers obtained from a local poultry processing
farm. The feathers were thoroughly rinsed with distilled water and dried at 60 ◦C for 48 h. Dried
feathers were milled with a pulverizer fitted with a 2 mm mesh and stored at room temperature, in an
airtight container. 11 of 16 Molecules 2020, 25, 1505 11 of 16 3.2. Sample Collection and Bacteria Isolation Soil samples were collected from composting sites (32◦43’48’S 27◦1’32’E) at the Fort Cox College
of Agriculture and Forestry, in the Raymond Mhlaba Local Municipality, Eastern Cape Province of
South Africa. The samples were aseptically transported to the laboratory and processed within 6 h
of collection. Basal salt media (BSM) was prepared as follows (g/L): K2HPO4, 0.3; KH2PO4, 0.4; MgCl2, 0.2;
CaCl2, 0.22; NH4Cl, 0.5; powdered chicken feather (PCF), 10 [37]. About 1 g of the soil samples was
inoculated in 99 mL of BSM and incubated at 30 ◦C, over a 5-day timeline, in an orbital shaker incubator
(Labotec, South Africa), at 130 rpm. About 100 µL of the BSM-culture was spread on a PCF agar plate
supplemented with 50 mg/L of nystatin. The plates were incubated at 30 ◦C for 48 h. 3.3. Preliminary Assessment of Isolates for Proteolytic and Keratinolytic Activities 3.6. Extracellular Keratinase and Total Protein Production 3.6. Extracellular Keratinase and Total Protein Production The extracellular keratinase and total protein was produced in a submerged fermentation with
media constituents as (g/L): K2HPO4, 0.3; KH2PO4, 0.4; MgCl2, 0.2; CaCl2, 0.22; and CFP, 10. The
fermentation flasks were inoculated with a 2% (v/v) starter culture (comparable to 1 × 108 CFU/mL)
and incubated at 30 ◦C for 120 h, in an orbital shaker (Labotec IncoShake (Pty) Ltd, Midrand, Gauteng,
South Africa). After the triplicate submerged state fermentation, the culture broth was centrifuged at
15,000× g for 10 min, using micro-centrifuge (HERMLE Labortechnik GmbH, Wehingen, Germany)
and the cell-free filtrate served as crude enzyme for analytical assays. 3.5. Identification of Keratinolytic Bacteria The genomic DNA of the keratinolytic bacterial isolates was extracted by using the ZR
Fungal/Bacterial DNA KitTM (Zymo Research, Irvine, CA, USA). The 16S target region was amplified,
using the polymerase chain reaction (PCR), under standard conditions. The set of universal primers
used for the 16S rRNA gene sequence amplification were 27f (5′-AGAGTTTGATCMTGGCTCAG-3′)
and 1492r (5′-CGGTTACCTTGTTACGACTT-3′) as forward and reverse primers, respectively [39]. The amplicons were gel extracted (Zymo Research, ZymocleanTM Gel DNA Recovery Kit, Irvine, CA,
USA) and sequenced in forward and reverse directions, on the ABI PRISMTM 3500xl Genetic Analyzer
(Foster city, CA, USA). The sequence comparison with the reference sequences in the database was
conducted by using the basic local alignment search tool (BLAST). The nucleotide sequences were 12 of 16 Molecules 2020, 25, 1505 submitted to the GenBank, with the following accession numbers: MG214993, MG214994, MG214995,
MG214996 and MG214999. submitted to the GenBank, with the following accession numbers: MG214993, MG214994, MG214995,
MG214996 and MG214999. 3.7. Assay for Keratinase Activity and Total Protein Concentration Keratinase activity assay was based on the method of Jaouadi et al. [40], with slight modification. The reaction mixture contained 0.5 mL of 10 g/L of keratin azure (Sigma-Aldrich, St. Louis, MO, USA)
in 0.1 M Tris-HCl buffer, pH 7.5, and 0.5 mL of suitably diluted crude enzyme solution. The mixture
was incubated at 37 ◦C for 1 h, with shaking at 220 rpm; after that, the reaction was stopped by
placing the assay mixture in ice-cooled water for 10 min. The unutilized substrates were removed by
centrifugation at 15,000× g for 10 min, and subsequently filtered (Millipore cellulose filters; 0.45 µm). The azo dye released in the filtrate was determined at 595 nm, using a SYNERGYMx 96 well microplate
reader (BioTek Instrument Inc., Winooski, VT, USA). The control was treated at the same condition
which contained the enzyme solution and buffer without the substrate. One keratinase unit was
defined as the amount of enzyme causing an increase in absorbance of 0.01 per hour under the standard
assay condition. y
The total protein concentration was estimated by using the Bradford method [41], with bovine
serine albumin as a standard protein. The respective assays were done in triplicate, and the results
presented were mean plus standard deviation. 3.8. Determination of Medium Thiol Concentration The thiol concentration was determined in the filtrate, using the methods described by Ellman [42]. Briefly, 50 µL of 4 mg/mL of 5,5′-dithiobis (2-nitrobenzoic acid) (DTNB) (Sigma-Aldrich, St. Louis,
MO, USA) in 100 mM phosphate buffer, pH 8.0, was mixed with 500 µL of distilled water. Then, the
cell-free filtrate (250 µL) was added in the mixture and allowed to stand at room temperature for 5 min,
for stable color development. The absorbance of yellow-colored 2-nitro-5-thiobenzoic acid (TNB) that
formed upon reduction of DTNB was measured at 412 nm. Un-inoculated broth treated in the same
manner as above served as the control. Triplicate assays were carried out, and the results presented
were mean plus standard deviation. 3.9. Effect of Physicochemical Conditions on Keratinase Activity and Total Protein Production 3.10. Structural Studies: Scanning Electron Microscopy A scan electron microscopy of the biodegraded feather was conducted in line with the described
procedures of Gupta and Singh [43]. Briefly, degraded feather at different interval of fermentation
was recovered, washed with distilled water and oven-dried at 60 ◦C, for 24 h. The residual feather
was fixed on carbon-sided-tape mounted on the stub and coated with gold palladium for 5 min, using
an ion coater (Eiko Engineering Co. Ltd, Hitachinaka, Ibaraki, Japan), and observed under scanning
electron microscope (JEOL Ltd, Tokyo Japan). 3.11. Statistical Analysis Experiments were performed in triplicates. The data were subjected to analysis of variance, and
the degree of freedom was set at P < 0.05 significance level. The analysis was conducted with the IBM
Statistical Package for Social Science version 23 (Armonk, NY, USA). 3.9. Effect of Physicochemical Conditions on Keratinase Activity and Total Protein Production The effect of physicochemical conditions on keratinase activity and total protein production
was assessed by using the one-variable-at-a-time (OVAT) approach. The effect of pH was assessed
through varying the initial fermentation pH from 4.0 to 10, at intervals of one unit. The incubation
temperature was also varied from 25 to 40 ◦C, at intervals of 5 ◦C. The influence of the carbon
sources, xylose, mannitol, glucose, fructose, sucrose, maltose, soluble starch, galactose, lactose and
sorbitol, (Merck chemicals (Pty) Ltd, Modderfontein, Gauteng, South Africa) was likewise evaluated. Moreover, the concentrations of the carbon sources were initially at 0.1% (w/v) of the fermentation
medium. The carbon sources with the optimum activity were further evaluated with concentration
variation from 0.08% to 1% (w/v). The effects of the nitrogen sources, gelatin, yeast extract, malt extract,
casein, peptone, tryptone, urea, beef extract, NH4SO4, NH4NO3, KNO3, NaNO3, NH4Cl, (NH4)H2PO4
and (NH4)2HPO4 (Merck chemicals (Pty) Ltd., Modderfontein, Gauteng, South Africa), were also 13 of 16 Molecules 2020, 25, 1505 13 of 16 investigated at a concentration of 0.02% (w/v). The effect of chicken feather concentration (0.1–1.75%,
w/v) on keratinase activity and total protein production was also investigated. Lastly, the effect of
agitation speed on keratinase activity and total protein production was determined at speeds ranging
from 0 to 200 rpm, at intervals of 50 units. The optimum conditions were used to conduct the time course assay, and the formulated basal
media contained the following (w/v): 0.03% K2HPO4, 0.04% KH2PO4, 0.02% MgCl2, 0.022% CaCl2,
0.1% xylose and 0.5% PCF. The flasks were inoculated with 2% (v/v) starter culture and incubated at
25 ◦C, for 192 h and 150 rpm. An aliquot of the fermentation broth was aseptically and periodically
withdrawn to determine the keratinase activity, protein concentration, cell growth, thiol concentration
and pH change. In each case, triplicate experiments were carried out, and the results presented were
mean plus standard deviation. Funding: This research was funded by The Department of Science and Innovation (DSI) and the Technology
Innovation Agency, grant number DST/CON/0177/2018. Author Contributions: Conceptualization, N.E.N. and U.U.N.; methodology, N.E.N.; formal analysis, N.E.N.;
investigation, N.E.N.; resources, A.I.O. and U.U.N.; data curation, N.E.N.; writing—original draft preparation,
N.E.N.; writing—review and editing, A.I.O. and U.U.N.; supervision, A.I.O. and U.U.N.; project administration,
U.U.N.; funding acquisition, U.U.N. All authors have read and agreed to the published version of the manuscript.
Funding: This research was funded by The Department of Science and Innovation (DSI) and the Technology
Innovation Agency, grant number DST/CON/0177/2018. 4. Conclusions Valorization of waste to valuable products is an integral part of the exploitation of renewable
resources for sustainable development. The approach of value addition to wastes has fed extensively
into the bio-economy of many nations. Thus, the potentials presented by Bacillus sp. FPF-1 as indicative
of the excellent production of keratinases which bio-converts chicken feathers into proteins and
related products. The process conditions showed an optimal keratinase yield at a weak acidic initial
fermentation medium, a mesophilic temperature condition and moderate agitation speed. Spiking the
fermentation medium with xylose enhanced the production of the enzyme of interest, and the opposite
effect was achieved with the inclusion of additional nitrogen sources. The capacity to effectively
utilize chicken feathers as a sole source of carbon and nitrogen by Bacillus sp. FPF-1 is indicative
of the fact that a battery of enzymes is produced to effectively degrade the complex pertinacious
polymer. The high concentration of total proteins in the fermentation broth is a strong indicator to the
assertion. In addition, the potency of the keratinase was laid bare in the electron micrograph indicating
the degradation pattern over time. Bacillus sp. FPF-1 presents a very good prospects vis-à-vis the
unique enzymes, and enzyme products and the organism as a whole serving as an industrially relevant
strain. Conclusively, the complete and effective degradation of chicken feathers by Bacillus sp. FPF-1
underpins its potential in the valorization of recalcitrant keratinous waste biomass from the agro sector
into useful products. Author Contributions: Conceptualization, N.E.N. and U.U.N.; methodology, N.E.N.; formal analysis, N.E.N.;
investigation, N.E.N.; resources, A.I.O. and U.U.N.; data curation, N.E.N.; writing—original draft preparation,
N.E.N.; writing—review and editing, A.I.O. and U.U.N.; supervision, A.I.O. and U.U.N.; project administration,
U.U.N.; funding acquisition, U.U.N. All authors have read and agreed to the published version of the manuscript. Funding: This research was funded by The Department of Science and Innovation (DSI) and the Technology
Innovation Agency, grant number DST/CON/0177/2018. 14 of 16 14 of 16 Molecules 2020, 25, 1505 Acknowledgments: The Department of Science and Innovation (DSI) and the Technology Innovation Agency
(TIA) supported this work under SIIP enzyme and microbial technologies (grant number: DST/CON/0177/2018). We also acknowledge the support of the South African Medical Research Council (SAMRC). Conflicts of Interest: The authors declare no conflict of interest. References 1. Wang, B.; Yang, W.; McKittrick, J.; Meyers, M.A. Keratin: Structure, mechanical properties, occurrence in
biological organisms, and efforts at bioinspiration. Prog. Mater. Sci. 2016, 76, 229–318. [CrossRef] 1. Wang, B.; Yang, W.; McKittrick, J.; Meyers, M.A. Keratin: Structure, mechanical properties, occurrence in
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Su. Tamilselvi's Female narrators in the novel of Manickam
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Su. Tamilselvi’s Female narrators in the novel of Manickam முதைவர் சவ.மலர்விழி, இதணப் பெராெிாியர், தமிழாய்வுத்துதை, ஸ்ரீ வித்யா மந்திர் கதல மற்றும்
அைிவியல் கல்லூாி(தன்ைாட்ெி), காட்போி, ஊத்தங்கதர. லர்விழி, இதணப் பெராெிாியர், தமிழாய்வுத்துதை, ஸ்ரீ வித்யா மந்திர் கதல மற்றும்
அைிவியல் கல்லூாி(தன்ைாட்ெி), காட்போி, ஊத்தங்கதர. Dr V. Malarvizhi, Associate Professor, Department of Tamil, Sri Vidya Mandir Arts and Science
College, Katteri, Uthangarai. DOI : 10.5281/zenodo.7567943 Abstract The main characters are the lifeblood of every innovation. The main characters are those
whom the story features in the novel. They will be placed towards the end of the story. They will
be displayed as the hero of the story. Both Thalaivan and Thalavi featured in the novel are Chief
Mandars. They are the lifeblood of the story. As the mother and father of a family, the leader of
the story excels. The main character of the story is seen continuously from the beginning to the
end of the story. Karu is the leader of the story. Without them, the story would not be a story. All
the events that are essential for the story to take place are often centered around the main
characters. The study is carried out with the main female characters appearing in the seven
novels of S.Tamilchelvi, which have been studied because the novel author expresses the ideas
he has to say to the society through the main characters.
ISSN:2583-0139
Vol.3: Issue 1, January 2022
ISSN:2583-0139
Vol.3: Issue 1, January 2022
Vol.3: Issue 1, January 2022 ISSN:2583-0139 Vol.3: Issue 1, January 2022 ஆய்வுச்சுருக்கம் ்ுு ஒவ்சவாரு புதிைத்திற்கும் உயிர்நாடியாக விளங்குெவர்கள் முதன்தமப் ொத்திரங்கபள
ஆவர். புதிைத்தில் இேம் செறும் கதத மாந்தர்களில் யாதரப் ெற்ைி ெிைப்ொக இேம்செைச்
செய்கிைபதா, அவர்கதளபய முதன்தமப் ொத்திரங்கள். இவர்கள் கததயின் இறுதிவதர இேம்
செறுவர். கததயின் கதா நாயகர் பொல காட்ெிெடுத்தப்ெடுவர். புதிைத்தில் இேம்செறும் ததலவன்,
ததலவி இருவரும் ததலதம மாந்தர்கள் ஆவர். கததயின் உயிபராட்ேபம இவர்கள்தாம். ஒரு
குடும்ெத்திற்குத் தாய், தந்ததயர் பொன்று கததக்குத் ததலதம மாந்தர்கள் ெிைந்து விளங்குவார்கள். கததயின் ததலதம ொத்திரம் கததயின் சதாேக்கம் முதல் இறுதிவதர சதாேர்ச்ெியாகக்
காணப்ெடுவார்கள். கததக்குக் கருபவ ததலதம மாந்தர்கள்தாம். இவர்கள் இல்தல என்ைால் கதத
கததயாக அதமயாது. கதத முழுவதும் நதேசெறுவதற்கு இன்ைியதமயாத நிகழ்ச்ெிகள் யாவும்
செரும்ொலும் முதன்தமப் ொத்திரங்கதள தமயமாகக் சகாண்பே அதமயும். புதிை ஆெிாியர்
முதன்தம
மாந்தர்களின்
மூலம்
ெமூகத்திற்குத்
தாம்
கூைவிதளயும்
கருத்துகதள
சவளிப்ெடுத்துகிைார்
என்ெதைால்
ஆய்வுக்குட்ெடுத்தப்ெட்ே
சு.தமிழ்ச்செல்வியின்
ஏழு
புதிைங்களில்
இேம்செறும்
முதன்தம
செண்ொத்திரங்கதளக்
சகாண்டு
ஆய்வு
பமற்சகாள்ளப்ெடுகிைது. ு்்்்்்்்ு்்்்் Keywords: சு.தமிழ்ச்செல்வி, கததமாந்தர்கள், செண், நாவல், முதன்தமக் கதத மாந்தர்கள் 18
PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES
Vol.3: Issue 1, January 2022
To Discern the Truth is Wisdom Quarterly Journal
ISSN:2583-0139 18
Vol.3: Issue 1, January 2022 ISSN:2583-0139 ISSN:2583-0139 Vol.3: Issue 1, January 2022 முன்னுதர சுயநலம், அன்பு, ொகெ உணர்வு, மூர்க்கம், இவற்ைின் கலதவயாகத் திகழும் மாணிக்கத்தத
தன் வாழ்வில் எதிர்சகாள்கிைாள் செல்லாயி என்னும் எளிய கிராமத்துப் செண் இந்நாவலில்
முதன்தம செண் கதத மாந்தராகத் திகழ்கிைாள். தாயின்ைி அப்ொவின் வளர்ப்ெில் வளர்ந்துக்
சகாண்டிருக்கும் செல்லாயிதய தங்கத்தாச்ெி தன் மகன் மாணிக்கத்திற்கு செண் பகட்டு திருமணம்
முடிக்கிைாள். செல்லாயி நல்ல உேல் வாகுேன் உதழக்கும் திைன் சகாண்ேவள். ஆைால்
தங்கத்தாச்ெியின்
மகன்
மாணிக்கபமா
விருப்ெமின்ைி
செல்லாயிதய
திருமணம்
செய்து
சகாள்கிைான். மாமியார், நாத்தைார் சகாடுதமயுேன் கணவன் சகாடுதமயும் சொிதாகிைது. செல்லாயிக்கு ெமூகம், குழந்ததகள் எைப் ெல்பவறு ெிக்கல்கதள எதிர் சகாள்கிைாள் செல்லாயி. இரவு சவகு பநரம் ஆைாலும் வீட்டிற்கு வரமாட்ோன் மாணிக்கம். ஓமிபயாெதி
ெடித்துவிட்டு சுற்ைியுள்ள கிராம மக்களுக்கு மருத்துவச் பெதவ செய்ய தைியாக ஒரு
மருத்துவமதை தவத்திருந்தான். செண் உதழப்பு, ெிக்கைம், பெமிப்பு இளம் வயது முதபல தாயின்ைி வளர்ந்தாலும் சொறுப்ொைவளாகவும் உதழப்ொளியாகவும்
இருக்கும் செல்லாயி தத மாெி மாதங்களில் கதிரறுக்கும் பவதலக்குப் பொவாள், கிதேக்கும் கூலி
சநல்தல சொிய ொதைகளில் அவெரம் ஆத்திரத்துக்கு உதவுசமன்று சகாட்டி தவப்ொள். பமலும்
கிதேக்கும் சநல்தல அவித்துப் பொட்டு அதரத்துச் ொப்ெிடுவது உண்டு. ஒரு நாதளக்கு மூன்று
அல்லது நான்கு மரக்கால் கூலியாகக் கிதேக்கும். பவதல நாளில் ஒரு நாள் கூே வீட்டில் தங்க மாட்ோள். கதிரறுக்கும்பொது ெில ெமயங்களில்
அாிவாள் தகதயயும் ெதம் ொர்த்து விடும். இரத்தம் வந்து தகதயபய ெிவப்ொக்கிவிடும். பெற்தையும் சுண்ணாம்தெயும் காயத்தில் அப்புவாள் ெீதலத்துணிதய கிழித்துப்பொட்டு பெர்த்துக்
கட்டிக்சகாள்வாள். அந்த காயத்துேபை மறுநாள் பவதலக்குப் பொய்விடுவாள். இப்ெடி ஓடி ஓடி
ெம்ொதித்து
வரும்
சநல்தலசயல்லாம்
குைவைிேம்
வாங்கிய
சதாம்தெக்
கூட்டில்
சகாட்டிதவத்துக்சகாண்டு நான்கு மாதங்களுக்காவது நல்லபொறு ொப்ெிே பவண்டும் என்று
ஆதெப்ெடுவாள். இவ்வாைாக உதழத்து பெர்த்து தவத்த செல்லாயி சதாேர்ந்து அப்ெடி செய்யவில்தல
காரணம் மாணிக்கம் தெக்கிளுக்கு ேயர் மாத்தனும், செயின் வாங்கி மாட்ேனும் என்று
சொல்லிவிட்டு தெக்கிள் கதேயில் ொதியும் ொராயக் கதேயில் ொதியும் விற்றுவிடுவான். சதாேர்ந்து இப்ெடி உதழப்செல்லாம் வீணாகப் பொகிைபத என்று நிதைத்த செல்லாயி, சநல்லு
வியாொாியிேம் விற்றுவிட்டு ெணமாகப் செற்று ெத்திரப்ெடுத்திக் சகாள்கிைாள். அப்ெணத்திற்கு,
வீட்டிற்குத்
பததவயாைப்
சொருட்கதள
வாங்கியதாக
கணக்கு
காட்டிவிடுவாள். இதவ மட்டுமன்ைி ெயத்தம், சநற்று, உளுந்து சொறுக்கவும் சென்று கூலியாக
குழம்புக்குத் பததவயாை ெருப்பு வதககதளயும் பெமித்து தவத்துக் சகாள்ளும் செல்லாயி திைமும் 19
PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES
Vol.3: Issue 1, January 2022
To Discern the Truth is Wisdom Quarterly Journal
ISSN:2583-0139 19 PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES
2022
To Discern the Truth is Wisdom Quarterly Journal Vol.3: Issue 1, January 2022 ISSN:2583-0139
ISSN:2583-0139
Vol.3: Issue 1, January 2022
ISSN:2583-0139
Vol.3: Issue 1, January 2022
பொைாக்க வாங்கிவரும் அாிெியில் ஒவ்சவாரு ெிடி அள்ளி ொதையில் பொட்டு விடுவாள். ெிடியாிெியால் நிதைந்திருந்தது ஒரு ொதை ெல நாள் ெிடியாிெி பெர்த்து ஒரு நாதளக்கு
ெடியாிெியாகக் கூே ஆகிவிடும். அன்தைக்கு அாிெி வாங்க சகாடுக்கும் காசு செல்லாயியின்
ெிறுவாட்டில் பெர்ந்துவிடும் இவ்வளவு சொறுப்புணர்பவாடும், ெிக்கைமாகவும் குடும்ெம் நேத்தும்
செல்லாயி கணவன், மாமியார், நாத்தைார், குழந்ததகள், ெமூகம் எை ெல்பவறு துன்ெங்கதளச்
ெந்திக்கிைாள்.
ISSN:2583-0139
Vol.3: Issue 1, January 2022
ISSN:2583-0139 பொைாக்க வாங்கிவரும் அாிெியில் ஒவ்சவாரு ெிடி அள்ளி ொதையில் பொட்டு விடுவாள். ெிடியாிெியால் நிதைந்திருந்தது ஒரு ொதை ெல நாள் ெிடியாிெி பெர்த்து ஒரு நாதளக்கு
ெடியாிெியாகக் கூே ஆகிவிடும். அன்தைக்கு அாிெி வாங்க சகாடுக்கும் காசு செல்லாயியின்
ெிறுவாட்டில் பெர்ந்துவிடும் இவ்வளவு சொறுப்புணர்பவாடும், ெிக்கைமாகவும் குடும்ெம் நேத்தும்
செல்லாயி கணவன், மாமியார், நாத்தைார், குழந்ததகள், ெமூகம் எை ெல்பவறு துன்ெங்கதளச்
ெந்திக்கிைாள். பொைாக்க வாங்கிவரும் அாிெியில் ஒவ்சவாரு ெிடி அள்ளி ொதையில் பொட்டு விடுவாள். ெிடியாிெியால் நிதைந்திருந்தது ஒரு ொதை ெல நாள் ெிடியாிெி பெர்த்து ஒரு நாதளக்கு
ெடியாிெியாகக் கூே ஆகிவிடும். அன்தைக்கு அாிெி வாங்க சகாடுக்கும் காசு செல்லாயியின்
ெிறுவாட்டில் பெர்ந்துவிடும் இவ்வளவு சொறுப்புணர்பவாடும், ெிக்கைமாகவும் குடும்ெம் நேத்தும்
செல்லாயி கணவன், மாமியார், நாத்தைார், குழந்ததகள், ெமூகம் எை ெல்பவறு துன்ெங்கதளச்
ெந்திக்கிைாள். கணவைால் செண்ெடும் துன்ெம் தன் கணவன் திருமணத்திற்கு முன்பு ெக்குொதய காதலித்ததாகவும் அவள் தன்தை
நிதைத்துக் சகாண்டு இன்னும் திருமணம் செய்து சகாள்ளாமல் இருப்ெதாகவும் என்ைால்
ெக்குொதய மைக்க முடியவில்தல அதைால், ெக்குொதய திருமணம் செய்துசகாள்கிபைன் என்றுக்
கூைியததக் பகட்ேவுேன் செல்லாயியின் மைது கலங்கியது. மரவள்ளிக் சகால்தலக்குள்பளபய
உட்கார்ந்து ஒப்ொாி தவக்கிைாள். “கருவ மரத்தடிபய நான்
காயாடும் பொதல்லபவா
காயாட்ேத்தத்தாம் மைந்து - இந்த
கருணருக்கு மாலயிட்பேன்
பவப்ெ மரத்தடிபய நான்
சவளயாடும் பொதல்லபவா
சவளயாட்ேத்தாம் மைந்து - இந்த
வீமருக்கு மாலயிட்பேன்
ஆை வுழந்த ெள்ளம்
ஆவாதுன்னு சொன்பைபை
ஆவுமுன்னு சொல்லியல்பலா – என்ை
அழச்ெி வச்ெி மாலயிட்பே
குதுர வுழந்த ெள்ளம்
கூோதுன்னு சொன்பைபை
கூடுமுன்னு சொல்லியல்பலா – என்ை
கூட்டிவச்ெி மாலயிட்பே
ஏலக்காப் சொடியின்னு
ஏந்திபைன் கய்சநையா – நீ
இருமைசுக் காரருன்னு – எைக்கு
இருந்த ெைம் சொல்லலபய
வால்மிளகு சொட்டியின்னு
வாங்கிபைங் தகசநையா – நீ 20 PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES To Discern the Truth is Wisdom Quarterly Journal
ISSN:2583-0139
Vol.3: Issue 1, January 2022
Vol.3: Issue 1, January 2022
Vol.3: Issue 1, January 2022 ISSN:2583-0139 Vol.3: Issue 1, January 2022 மாணிக்கம், ெக். 79-86.) மாணிக்கம், ெக். 79-86.) மாணிக்கம், ெக். 79-86.) என்று தன்மைக்குதைதய ஒப்ொாியாகப் ொடிைாள். கணவன் கண்டு சகாள்ளாமல்
சென்றுவிடுகிைான்; செல்லாயி நான்கு மாத கர்ப்ெமாக இருக்கிைாள். இரவு சவகு பநரம் ஆைாலும்
மாணிக்கம் வீட்டிற்கு வரமாட்ோன் செல்லாயி தன்தை தன் அப்ொவீட்டில் சகாண்டுபொய்
விேச்சொல்லி அழுகிைாள். அப்ொவீட்டில் விடுவதாகக் கூைிவிட்டு கர்ப்ெிணி என்றும் ொராமல்
நேந்பத நீண்ேதூரம் அதழத்துச்சென்ைான்; நேக்கமுடியாமல் செல்லாயி உட்கார்ந்பதவிட்ோள். மணலி சென்று அங்கிருந்து மதுக்கூருக்குத் தைிக்குடித்தைம் அதழத்து வந்துவிட்ோன் மாணிக்கம். நிதைமாத கர்ப்ெிணியாை செல்லாயிதய அவள் அக்கா ெரசு அதழத்துக்சகாண்டு
பொைாள். ெரசு செல்லாயிதய நன்ைாக கவைித்துக் சகாண்ோள். அவள் கணவனும் அப்ெடிபய;
குழந்தத ெிைக்கும் அைிகுைிகள் சதாிந்தவுேன் ெரசுவின் கணவன் சுக்குரு ஓடிப்பொய் குழந்ததப்
பெறுொர்க்க அரும்ொயிதயயும், சரத்தைாதவயும் வண்ணாத்தி எை அதைவதரயும் அதழத்து
வந்தான். செல்லாயிக்கு செண்குழந்தத ெிைந்தது குழந்ததப்பெற்ைின்சொழுது செண் உேல் ெடும்
துன்ெங்கதள, என்று தன்மைக்குதைதய ஒப்ொாியாகப் ொடிைாள். கணவன் கண்டு சகாள்ளாமல்
சென்றுவிடுகிைான்; செல்லாயி நான்கு மாத கர்ப்ெமாக இருக்கிைாள். இரவு சவகு பநரம் ஆைாலும்
மாணிக்கம் வீட்டிற்கு வரமாட்ோன் செல்லாயி தன்தை தன் அப்ொவீட்டில் சகாண்டுபொய்
விேச்சொல்லி அழுகிைாள். அப்ொவீட்டில் விடுவதாகக் கூைிவிட்டு கர்ப்ெிணி என்றும் ொராமல்
நேந்பத நீண்ேதூரம் அதழத்துச்சென்ைான்; நேக்கமுடியாமல் செல்லாயி உட்கார்ந்பதவிட்ோள். மணலி சென்று அங்கிருந்து மதுக்கூருக்குத் தைிக்குடித்தைம் அதழத்து வந்துவிட்ோன் மாணிக்கம். ்்்்்ு்ு்்ு நிதைமாத கர்ப்ெிணியாை செல்லாயிதய அவள் அக்கா ெரசு அதழத்துக்சகாண்டு
பொைாள். ெரசு செல்லாயிதய நன்ைாக கவைித்துக் சகாண்ோள். அவள் கணவனும் அப்ெடிபய;
குழந்தத ெிைக்கும் அைிகுைிகள் சதாிந்தவுேன் ெரசுவின் கணவன் சுக்குரு ஓடிப்பொய் குழந்ததப்
பெறுொர்க்க அரும்ொயிதயயும், சரத்தைாதவயும் வண்ணாத்தி எை அதைவதரயும் அதழத்து
வந்தான். செல்லாயிக்கு செண்குழந்தத ெிைந்தது குழந்ததப்பெற்ைின்சொழுது செண் உேல் ெடும்
துன்ெங்கதள, “என்ை இப்ெடி, நாலாப்ெக்கமும் கிழிஞ்ெி பொய்க் சகேக்கு “புள்ள சொிொருக்குல்ல,
கிழியாம என்ை செய்யும்” “தகய வச்ெித் சதாேக்கபவ ெயமாருக்கு ோரு……. ோரா கிழிஞ்ெி
பொயிக் சகேக்கு. இந்த புண்ண சயல்லாம் எப்ெடி ஆத்துை? “புண்ண ஆத்துைதாப் சொிெி. இந்தப்
சொிய புள்ள முழுொ உசுபராே சொைந்துச்பெ… அதச் சொல்லு” (பமலது, ெக். 108, 109) எனும்
உதரயாேல்கள் ெதிவு செய்கின்ைை. செண் ெிரெவத்தின்சொழுது எவ்வாசைல்லாம் துன்ெப்ெடுகிைாள் அவள் உேல் உறுப்புக்கள்
எப்ெடிசயல்லாம் பெதமாகின்ைை என்ெததக் கூைி மைதத ெலைப் ெேதவக்கும் சு. தமிழ்ச்செல்வி
அக்குழந்தததயப் ொராட்டி தாலாட்டி தூங்கதவப்ெதத, யாங்கண்பணராராபரா… ராாிரபரா பமக…த்து மின்சைாளிபயா….ஓ 21 PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES To Discern the Truth is Wisdom Quarterly Journal
ISSN:2583-0139
Vol.3: Issue 1, January 2022
Vol.3: Issue 1, January 2022
ISSN:2583-0139 Vol.3: Issue 1, January 2022 வாதாடி… வாதாடி… நீ வாதாடி… வாதாடி… நீ வந்த சதரவியபமா…ஓ” (பமலது, ெக். 142, 143) வந்த சதரவியபமா…ஓ (பமலது, ெக். 142, 143)
என்று தாலாட்டிப் ெிள்தளதயத் தூங்கதவக்கும் செல்லாயி தன் ெிள்தளகதள வளர்க்க
ெடும்ொடு சொல்லி மாளாதது. தைிக் குடித்தைம் சென்ை மாணிக்கம் மருத்துவத் சதாழிதல
விட்டுவிட்டு ெர்க்கஸ்பொல தெக்கிள் ஓட்டி வித்தத காட்டுகிைான். நிதைய ெணம் பெர்ந்த உேன்
அவ்வளதவயும் குடி ெீட்டு எை அதில் விட்டு விடுகிைான். அம்தம பநாயால் தாக்கப்ெட்டு
நேக்கவும் முடியாமல் இருக்கும் கணவனுேன் தகக்குழந்தததயயும் அதழத்துக் சகாண்டு தன்
சொந்த ஊராை கற்ெகநாதர் குளத்திற்குப் பொய்விே பவண்டும் என்று நிதைத்த செல்லாயி,
“நம்மளுக்கு ஊருல சநலம் ெலம் இல்லயா சொத்து சொவம் இல்லயா? ொப்ொரும்
பகப்ொரும் இல்லாம இஞ்ெ யாங்சகேத்து தவிக்கணும்”( பமலது, ெ. 137) என்று எண்ணி
எப்ெடியாவது கணவதை ெதழயெடி சதம்புதேயவைாக மாற்ைி விே பவண்டும் எை நிதைத்து
மாமியார் வீோை கற்ெகநாதர் குளம் வந்தாள். மாமியார் தங்கத்தாச்ெி தைக்கு மகனுமில்தல
மருமகளுமில்தல என் உயிர் இருக்கும் வதர வீட்டிற்குள் யாதரயும் விேமாட்பேன் எைக் கூைி
மாட்டுக் சகாட்ேதகயில் இருக்கும்ெடி கூைிவிட்ோள். பமற்கூதர மட்டும் பொேப்ெட்டிருந்தது. ெக்கத்தில உள்ள செண்ணிேம் வயிற்றுப்ெெிக்காக யாெகம் பகட்கிைாள். பொளத்ததயும் ஒரு
ஓட்தேச்ெட்டிதயயும் செற்று வந்து மாவதரத்து உப்ெில்லா உணவு ெதமத்து ெடுக்தகயில்
இருக்கும் கணவனுக்கு பொடுகிைாள். என்று தாலாட்டிப் ெிள்தளதயத் தூங்கதவக்கும் செல்லாயி தன் ெிள்தளகதள வளர்க்க
ெடும்ொடு சொல்லி மாளாதது. தைிக் குடித்தைம் சென்ை மாணிக்கம் மருத்துவத் சதாழிதல
விட்டுவிட்டு ெர்க்கஸ்பொல தெக்கிள் ஓட்டி வித்தத காட்டுகிைான். நிதைய ெணம் பெர்ந்த உேன்
அவ்வளதவயும் குடி ெீட்டு எை அதில் விட்டு விடுகிைான். அம்தம பநாயால் தாக்கப்ெட்டு
நேக்கவும் முடியாமல் இருக்கும் கணவனுேன் தகக்குழந்தததயயும் அதழத்துக் சகாண்டு தன்
சொந்த ஊராை கற்ெகநாதர் குளத்திற்குப் பொய்விே பவண்டும் என்று நிதைத்த செல்லாயி,
“நம்மளுக்கு ஊருல சநலம் ெலம் இல்லயா சொத்து சொவம் இல்லயா? ொப்ொரும் “நம்மளுக்கு ஊருல சநலம் ெலம் இல்லயா சொத்து சொவம் இல்லயா? ொப்ொரும்
பகப்ொரும் இல்லாம இஞ்ெ யாங்சகேத்து தவிக்கணும்”( பமலது, ெ. 137) என்று எண்ணி
எப்ெடியாவது கணவதை ெதழயெடி சதம்புதேயவைாக மாற்ைி விே பவண்டும் எை நிதைத்து
மாமியார் வீோை கற்ெகநாதர் குளம் வந்தாள். மாமியார் தங்கத்தாச்ெி தைக்கு மகனுமில்தல
மருமகளுமில்தல என் உயிர் இருக்கும் வதர வீட்டிற்குள் யாதரயும் விேமாட்பேன் எைக் கூைி
மாட்டுக் சகாட்ேதகயில் இருக்கும்ெடி கூைிவிட்ோள். பமற்கூதர மட்டும் பொேப்ெட்டிருந்தது. ெக்கத்தில உள்ள செண்ணிேம் வயிற்றுப்ெெிக்காக யாெகம் பகட்கிைாள். பொளத்ததயும் ஒரு
ஓட்தேச்ெட்டிதயயும் செற்று வந்து மாவதரத்து உப்ெில்லா உணவு ெதமத்து ெடுக்தகயில்
இருக்கும் கணவனுக்கு பொடுகிைாள். இததக் களியாய் கிண்டிைால் அப்ெடிபய பொட்டு கிண்ே பவண்டியது தான் கூழாய்க்
காய்ச்ெிைால் ொதி மாவு பொட்ோல் பொதும். இததபய இரண்டு பவதளக்கு தவத்துக்
சகாள்ளலாம் எை நிதைத்தாள். கூழாய்க் காய்ச்ெிைால் ஊற்ைி குடிக்க ேம்ளர் பவண்டுபம. ேம்ளருக்கு எங்பக பொவது? களியாகபவ கிண்டிவிேலாம் எை பயாெித்தவளாய் எல்லாமாதவயும்
சகாட்டி கிண்டிைாள். வாய்க்கால் ஓரத்தில் பெத்தத எருக்தகபொல குத்து குத்தாய் வளர்ந்திருந்தது. பெத்ததயின்
அடித்தண்டில் ெிமிழ் பொன்ை ெச்தெக்காய்கள் காய்த்திருந்தை. அகலமாை இதலயாய் ொர்த்து
ஏசழட்டு பெத்ததயிதலகதள இணிக்கி வந்தாள். இதலகதள கழுவி தவத்தாள். மாணிக்கத்தத
எழுப்ெிைாள். மாணிக்கத்தின் முன்ைால் இன்சைாரு கீற்தை எடுத்து வந்து சொட்டு அதில் ஈர
இதலகதள இதேசவளியில்லாமல் வட்ேமாய் அடுக்கிைாள். அதில் பொளக்களிதயப் பொட்டு
ஆப்தெயால் இழுத்துவிட்டு ஆைச் செய்தாள். PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES மாணிக்கம் ஒருவாய் எடுத்துப்பொட்ோன் களி
உப்ெில்லாமல் ெப்சென்ைிருந்தது. உப்ெில்லாமல் எப்ெடி ொப்ெிடுவது? என்று பகட்ோன். இவற்தைசயல்லாம் நான் யாெகம் செற்று செய்பதன் ஒவ்சவான்ைாக பகட்டுப் செற்ைதவ
இரவாைதால் உப்தெ பகட்கவில்தல என்று செல்லாயி கூை, உப்ெில்லா பொளக்களிதய ெெியின்
சகாடுதமயால் சதன்ைங்குரும்ெதயக் கடித்துக்சகாண்டு ொப்ெிட்ோர்கள் குழந்ததக்கும் அததபய 22
PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES
Vol.3: Issue 1, January 2022
To Discern the Truth is Wisdom Quarterly Journal
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Vol.3: Issue 1, January 2022
ஊட்டிைாள். வாைம் இருட்டியது எங்கும் ஒபர அதமதி. ஊர் முழுவதும் தூங்கிக் சகாண்டிருக்க
மதழ பொசவைப் செய்ததைால் மாட்டுக் சகாட்ேதக முழுவதும் தண்ணீர் செருக்சகடுத்து ஓடியது. ெிள்தள கிேந்த சதாட்டிலுக்கு மதலச்ொரலடித்தது சதாட்டில் கட்டியிருந்த ெீதல
ஈரமாகியது. இருந்தாலும் ெிள்தள அழாமல் தூங்கிக் சகாண்டிருந்தது. நாலாப்ெக்கமும் அடித்த
ொரலும் பமற்கூதையிலிருந்து ஒழுகிய தண்ணீரும் செல்லாயி மாணிக்கம் இரண்டு பெதரயும்
முழுதாய் நதைத்தது. மாணிக்கத்திற்கு எடுத்த நடுக்கம் விடியும் வதர நிற்கவில்தல. குளிருக்கு
ஈரத்துணிதயபய பொர்த்திக் சகாண்ோன். தன் கணவனுக்கு எதுவும் ஆகக் கூோது என்று
மாவிளக்குப் பொடுவதாக மாாியம்மதை பவண்டுகிைாள். ்்ு்்ுு்
ISSN:2583-0139
Vol.3: Issue 1, January 2022
ISSN:2583-013
Vol.3: Issue 1, January 2022 ISSN:2583-0139 ஊட்டிைாள். வாைம் இருட்டியது எங்கும் ஒபர அதமதி. ஊர் முழுவதும் தூங்கிக் சகாண்டிருக்க
மதழ பொசவைப் செய்ததைால் மாட்டுக் சகாட்ேதக முழுவதும் தண்ணீர் செருக்சகடுத்து ஓடியது. ெிள்தள கிேந்த சதாட்டிலுக்கு மதலச்ொரலடித்தது சதாட்டில் கட்டியிருந்த ெீதல
ஈரமாகியது. இருந்தாலும் ெிள்தள அழாமல் தூங்கிக் சகாண்டிருந்தது. நாலாப்ெக்கமும் அடித்த
ொரலும் பமற்கூதையிலிருந்து ஒழுகிய தண்ணீரும் செல்லாயி மாணிக்கம் இரண்டு பெதரயும்
முழுதாய் நதைத்தது. மாணிக்கத்திற்கு எடுத்த நடுக்கம் விடியும் வதர நிற்கவில்தல. குளிருக்கு
ஈரத்துணிதயபய பொர்த்திக் சகாண்ோன். தன் கணவனுக்கு எதுவும் ஆகக் கூோது என்று
மாவிளக்குப் பொடுவதாக மாாியம்மதை பவண்டுகிைாள். ஊட்டிைாள். வாைம் இருட்டியது எங்கும் ஒபர அதமதி. ஊர் முழுவதும் தூங்கிக் சகாண்டிருக்க
மதழ பொசவைப் செய்ததைால் மாட்டுக் சகாட்ேதக முழுவதும் தண்ணீர் செருக்சகடுத்து ஓடியது. செண் உதழப்பும் மாமியார் சகாடுதமயும் ெொெதியின் உதவிபயாடு தங்கத்தாச்ெியிேமிருந்து சகாஞ்ெம் நிலம் செற்று மிளகாய்
மரவள்ளி எை விவொயம் செய்தாள். மாணிக்கம் உேல் குணமதேந்தது. கிதேக்கும் பவதலக்கு
செல்லாயி சென்று ெிறுகெிறுக ெணம் பெர்த்து ஆட்டுக் குட்டிகதளயும், மாட்தேயும் வாங்கிைாள்
எப்சொழுதும் ஓயாமல் பவதல செய்துசகாண்பே இருந்தாள் இரண்ோவதாக செண் ெிள்தள
ெிைந்தது. செல்லாயியின் உதழப்ெிைால் வறுதமயின்ைி வாழ்ந்தார்கள். திருமணத்திற்கு முன்பு
மாணிக்கம் ெக்குொய் என்னும் ஒரு செண்தணக் காதலித்தான் அம்மாவின் வற்புறுத்தலால்
விருப்ெமின்ைி
செல்லாயிதயத்
திருமணம்
செய்துசகாண்டு
இரண்டு
செண்ெிள்தளகளும்
ெிைந்துவிட்ேை. ெக்குொய்
யாதரயும்
திருமணம்
செய்து
சகாள்ளாமல்
தன்தைபய
நிதைத்திருப்ெதாக பகள்விெட்ே மாணிக்கம் ெக்குொதய திருமணம் செய்து சகாள்வதாகக் கூைி
தைியாக வரச்சொல்கிைான். செல்லாயி பொகவிோமல் தடுத்ததால் மாணிக்கத்தால் பொக
முடியவில்தல மாணிக்கம் வராததால் ெக்குொய் தூக்கு பொட்டு இைந்துவிடுகிைாள். செல்லாயியின் கணவன் மாணிக்கம் தன்ைால் ெக்குொய் இைந்துவிட்ோள் எை நிதைத்து
ஊதரவிட்பே பொய்விடுகிைான். ஒரு வருேம் ஆகியும் மாணிக்கத்திேமிருந்து எந்த தகவலும்
வராதததப் ெயன்ெடுத்தி மருமகதள வீட்தே விட்டு துரத்துவதற்கு முடிவு செய்த மாமியாளும்
நாத்தைார்களும் சராட்டிக்காரனுேன் செல்லாயிக்குத் தவைாை சதாேர்பு இருக்கிைது எைக் கூைி
ெஞ்ொயத்து தவத்துவிடுகிைாள். இததை, “எங்க மருமவ, மவன் இல்லாத பநரத்துல அேக்க ஒடுக்கமா இருக்காம, நம்ம ஊருக்கு வர்ர
சராட்டிக்காரங்கிட்ே ெிாிச்ெிெிாிச்ெி பெசுைா. அவன் புள்ளசவாளுக்கு ொக்சகட்டு ொக்சகட்ோ
சராட்டி குடுக்குைான். இதசயல்லாம் ொத்துகிேகு ஒண்ணும் பகட்க முடியாம நாங்க இருக்குைம். எங்களுக்கு அவபமபல ெந்பதகமாருக்கு. அவள இழுத்துவச்ெி என்ை ஏதுன்னு நீங்கத்தான்
விொாிக்கணும்”( பமலது, ெ. 178) என்று ஊர் சொியவர்களிேம் ெஞ்ொயத்து தவக்கிைாள். செல்லாயி தம் ெிள்தளகளின் மீது ெத்தியம் செய்தும் அந்த சராட்டிக்காரன் என் தம்ெிமாதிாி,
நான் ெிைந்த ஊதரச்பெர்ந்தவன் கற்ெகநாதர்குளம் பொகும் பொசதல்லாம் பெரக்குழந்ததகளுக்கு 23
PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES
Vol.3: Issue 1, January 2022
To Discern the Truth is Wisdom Quarterly Journal
ISSN:2583-0139 23 Vol.3: Issue 1, January 2022
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Vol.3: Issue 1, January 2022
Vol.3: Issue 1, January 2022 ISSN:2583-0139 Vol.3: Issue 1, January 2022 சராட்டி சகாடுக்கும் ெடி என் தந்தத கூைியதைால் தான் தருகிைான் என் தந்ததபய
சராட்டிக்காரனுக்கு ெணம் தருகிைார் எை எவ்வளபவா கூைியும், சராட்டி சகாடுக்கும் ெடி என் தந்தத கூைியதைால் தான் தருகிைான் என் தந்ததபய
சராட்டிக்காரனுக்கு ெணம் தருகிைார் எை எவ்வளபவா கூைியும், உன்னுதேய நேப்பு ொியில்லன்னு புகார், நீ என்ை சொல்கிைாய்? என்று பகட்ோர்கள்
ெஞ்ொயத்தார்கள். உன்னுதேய நேப்பு ொியில்லன்னு புகார், நீ என்ை சொல்கிைாய்? என்று பகட்ோர்கள்
ெஞ்ொயத்தார்கள். தான் எந்த தவறும் செய்யயவில்தல என்று மறுத்துக் கூைி ஆபவெம் வந்தவளாய் புலம்ெிய
செல்லாயிதய “….ச்ெீ வாயமூடு நாபய….. இதுக்கு பமபல ஒரு வார்த்த பெசுை செருப்ொலபய
அடிச்ெி ஊரவுட்டுத் சதாரத்திடுபவன் ஆமா’ சொல்லிக்சகாண்பே குைிந்து காலிலிருந்து
செருப்தெக் கழட்டிைார் ெிரெிசரண்ட் சுந்தரம்ெிள்தள”( பமலது, ெ. 179) குடும்ெத்தில்
உள்ளளவர்கள் மட்டுமன்ைி ெமூகமும் செல்லாயிதய சகாடுதமப்ெடுத்தியதால் பவண்டுமளவு
அழுது கதளத்து ஓய்ந்தாள். ஊதரவிட்டுப் பொகலாம் எை நிதைத்தாள். நாம் பொைால் பகவலமாகும் பொகக்கூோது
எை நிதைத்து சொியமகள் வாணியிேம் ெின்ைமகள் மணிதய விட்டுவிட்டு விவொய பவதலக்கும்
பொைாள் பவதல முடிந்தவுேன் விைகுசொறுக்கிக் சகாண்டு வீட்டிற்கு வந்தாள் உச்ெந்ததலமுடி
எண்தணயின்ைி ெைந்தது. உண்ணாமலும் உைங்காமலும் தன் ெிள்தளகளுக்காக ஓய்வின்ைி
உதழத்தாள். “ச்ெீ….. இந்தத் ததலயப் ொரு ொண்தேயாட்ேம் ெைக்குைத எை தன் ததலமுடிதய இரண்டு
தககளாலும் அழுத்தி வழித்து ெின்ைால் சொரடிக் சகாண்தேக்குள் செருகிைாள். அது சொம்மிக்
சகாண்டு பமபல வந்தது. சகாஞ்ெைாச்சும் எண்சணப்ெெ இருந்தாதாை எங்க சொருவுைாலும்
நிக்கும் தல; எண்சணயப் ொத்து எட்டு நாளக்கி பமலாவது.”( பமலது, ெக். செண் உதழப்பும் மாமியார் சகாடுதமயும் 187, 188) இவ்வாிகள்
செண்ெடும் வருதமதய சுட்டிச்செல்கிைது. திடீசரை,
மாணிக்கம்
வந்துவிடுகிைான். வந்ததும்
வராததுமாய்
ெின்ைத்தம்ெியும்,
தங்கத்தாச்ெியும் செல்லாயி நேத்ததக்சகட்ேவள் என்று சொல்லி விட்டு அவதள வீட்தே விட்டு
துரத்தும்ெடி கூைிைார்கள்; என்ை ஏசதன்று விொாிக்காமல். திடீசரை,
மாணிக்கம்
வந்துவிடுகிைான். வந்ததும்
வராததுமாய்
ெின்ைத்தம்ெியும்,
தங்கத்தாச்ெியும் செல்லாயி நேத்ததக்சகட்ேவள் என்று சொல்லி விட்டு அவதள வீட்தே விட்டு
துரத்தும்ெடி கூைிைார்கள்; என்ை ஏசதன்று விொாிக்காமல். புருெங்காரன் வூட்டுலயில்லன்ைா வூருபமயிை ஆெ வந்துருமா? த்தூ நீ எல்லாம் ஒரு
சொம்புளயா? என்று நீண்ே நாள் கழித்து வந்த கணவன் கூை செல்லாயி யாரு சொன்ைது? தான்
ஒரு தவறும் செய்யவில்தல என்று பொராடிைாள். யாருடி சொல்லனும்? யாரு சொல்லணும் இந்த வூபர தான் ஓம்பமாதரயில காாித்துப்புபத
என்று கூைிய ெடி ெெியாலும் ெட்டிைியாலும் ஒட்டிப்பொயிருந்த அவளுதேய வயிற்ைில் எட்டி
உததத்தான். கத்தியெடி வயிற்தைப் ெிடித்துக்சகாண்டு சுருண்டு விழுந்தாள். சதாட்டு தாலி கட்டிய கணவனுக்கு துபராகம் செய்யும் நீசயல்லாம் இருந்தா என்ை? செத்தாசயன்ை? ொவு ததலமுடிதய ெிடித்துத்தூக்கி இரண்டு கன்ைங்களிலும் ஓங்கி அதைந்து
துன்ெப்ெடுத்திைான். வலிதாங்காமல் ஓடிப்பொய் கிணற்ைில் விழுந்தாள். அப்சொழுதும் விோமல் கிணற்ைில்
இைங்கி மண்தேதய உதேத்ததால் கிணற்று நீர் ெிவப்ெதேந்தது. அடித்துக் அடித்து கதளத்துப் 24
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பொய்விட்ோன். ஆத்திரம் அேங்காதவளுக்கு அழுதக பீைிட்டு வந்தது பொர்ந்து உட்கார்ந்து
ஒப்ொாி தவத்தாள், ் ISSN:2583-0139 Vol.3: Issue 1, January 2022 பொய்விட்ோன். ஆத்திரம் அேங்காதவளுக்கு அழுதக பீைிட்டு வந்தது பொர்ந்து உட்கார்ந்து
ஒப்ொாி தவத்தாள், ் பொய்விட்ோன். ஆத்திரம் அேங்காதவளுக்கு அழுதக பீைிட்டு வந்தது பொர்ந்து உட்கார்ந்து
ஒப்ொாி தவத்தாள், பொய்விட்ோன். ஆத்திரம் அேங்காதவளுக்கு அழுதக பீைிட்டு வந்தது பொர்ந்து உட்கார்ந்து
ஒப்ொாி தவத்தாள், பொய்விட்ோன். ஆத்திரம் அேங்காதவளுக்கு அழ
ஒப்ொாி தவத்தாள்,
மாயவரஞ் ொலயிபல – நா
மயிசலைங்கி பமயயிபல…. மயிலுண்ணும் ொராம
மருந்து பொட்டு சுட்ோபவா
மருந்து சவடிக்குதுன்னு
மதுசலாரம் பொய் மைஞ்பென்
மருந்து பமல மருந்து வச்பெ – எைக்கு
அதிமருந்பத கூே வச்பெ…
கும்ெபகாணஞ்ொலயிபல – நா
குயிசலைங்கி பமயயிபல…
குயிலுண்ணும் ொராம
குண்டு பொட்டு சுட்ோபவா
குண்டு சவடிக்குதுன்னு நா
சகாளத்பதாரம் பொய் ஒளிஞ்பென்
குண்டுபமல குண்ேவச்பெ – எைக்கு
கூே மருந்து வச்பெ (பமலது, ெக். 191, 192) கூே மருந்து வச்பெ (பமலது, ெக். 191, 192) என்றுதன் மைக்குதைதய எல்லாம் ஒப்ொாியாக ொடி அழுதுவிட்டு ெிைந்த வீட்டிற்கு வந்து
அப்ொ என்று கதைிக்சகாண்பே அவர் கால்களில் விழுந்தாள். சகட்டியாக அவருதேய கால்கதளக்
கட்டிப் ெிடித்துக்சகாண்டு தன் மைச்சுதமதயக் கண்ணீராய் வடித்தாள். 25
ெிள்தளகதள
விட்டு
விட்டு
ஒருநாள்
கூே
செல்லாயியால்
இருக்கமுடியவில்தல
ெிள்தளகதள நிதைத்து அழுதுசகாண்பே இருந்தாள். ஒருநாள் பொைது ஒரு வருேமாக இருந்தது. திருத்துதைப்பூண்டியில் இருந்து மீண்டும் கற்ெகநாதர்குளம் வந்தாள். செல்லாயியின் உதழப்பும்
அவள் ெடும் துன்ெமும் சதாேர்ந்துசகாண்பே இருந்தது. செல்லாயியின் உதழப்ெிைால் மாட்டுக்
சகாட்ேதகதய
சுவர்
தவத்து
வீடு
பொல்
செய்து
வாழ்வது,
சொறுக்காத
மாமியார்
மாணிக்கத்திேம்
இல்லாததத
இருப்ெது
பொல்
திாித்துப்
பெெி
உண்தமப்பொல்
நிரூெித்துவிடுவாள்; செல்லாயி என்ைச் சொன்ைாலும் அததக்பகட்காத கணவன் அடித்து
உததத்து வீட்டிற்குள்பள தள்ளி சநருப்பு தவத்துவிட்ோன். தான் கஷ்ேப்ெட்டு பெர்த்து
தவத்ததவகளுேன் தானும் எாிந்து ொம்ெலாகப் பொகிபைாபம எை நிதைத்தவள் தகயில்
கிதேத்தவற்தை எடுத்துக்சகாண்டு சவளிபய வந்தாள். தீப்ெிடித்து எாிந்தது, வீடு ொம்ெலாகியது. மாமியார் கணவன் எை மாைிமாைி துன்ெப்ெடுத்தப்ெட்ோள் ஊர் ெைங்களுக்பக இவர்கள்
செய்யும் சகாடுதம தாங்காமல், மாமியார் இருக்கும் வதர செல்லாயி நிம்மதியா வாழமுடியாது. அவள் வாழவிேமாட்ோள், சகாதலகாரப் ொவி அவளால் ஏற்ெட்ே ெிரச்ெிதைகள்தான் 25
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Vol.3: Issue 1, January 2022
To Discern the Truth is Wisdom Quarterly Journal
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Vol.3: Issue 1, January 2022 ISSN:2583-0139 Vol.3: Issue 1, January 2022 துதணநின்ை நூல்கள் Cite this Article in English Malarvizhi. V “ Su. Tamilselvi’s Female narrators in the novel of Manickam” Pulam:
International Journal of Tamilology Studies, Vol.3 Issue 1, January 2023, pp.18-27 Malarvizhi. V “ Su. Tamilselvi’s Female narrators in the novel of Manickam” Pulam:
International Journal of Tamilology Studies, Vol.3 Issue 1, January 2023, pp.18-27 Malarvizhi. V “ Su. Tamilselvi’s Female narrators in the novel of Manickam” Pulam:
International Journal of Tamilology Studies, Vol.3 Issue 1, January 2023, pp.18-27 27 துதணநின்ை நூல்கள் துதணநின்ை நூல்கள் 1. அகிலன், கததக்கதல, ொாி புத்தகப் ெண்தண, 1976, சென்தை. 1. அகிலன், கததக்கதல, ொாி புத்தகப் ெண்தண, 1976, சென்தை. 2. அரங்கமல்லிகா, தமிழ் இலக்கியமும் செண்ணியமும், காலச்சுவடு ெதிப்ெகம், 2002,
சென்தை. 3. ெம்ெத்குமார். ொ, மு.வ. நாவல்களில் ொத்திரங்கள் ஒரு திைைாய்வு, காவ்யா சவளியீடு,
செங்களூர். 4. தமிழ்ச்செல்வி. சு, மாணிக்கம், நியூ செஞ்சுாி புக் ஹவுஸ், முதற்ெதிப்பு 2007, சென்தை -98 ்்்்்்்்்் 4. தமிழ்ச்செல்வி. சு, மாணிக்கம், நியூ செஞ்சுாி புக் ஹவுஸ், முதற்ெதிப்பு 2007, சென்தை -98
5. பதவதத்தா,
செண்
ெதேப்ெில்
செண்கள்,
அன்தை
சதரொ
ெல்கதலக்கழகம்,
சகாதேக்காைல்1986 5. பதவதத்தா,
செண்
ெதேப்ெில்
செண்கள்,
அன்தை
சதரொ
ெல்கதலக்கழகம்,
சகாதேக்காைல், 1986. Reference Reference 1. Akilan, Kathaikkalai, Pari Book Center, 1976, Chennai. . Akilan, Kathaikkalai, Pari Book Center, 1976, Chennai. 2. Arangamallika, Thamizh Ilakkiyamum Penniyamum, Kalachuvadu Publicati 3. Sambathkumar, B, Mu.Va Navalgalil Paththirangal Oru Thiranayvu, Kavya, Bengaluru. 3. Sambathkumar, B, Mu.Va Navalgalil Paththirangal Oru Thiranayvu, Kavya, Bengaluru. 4. Tamilselvi, Su, Manickam, NCBH, Chennai, 2007. 5. Thevathatha, Pen Padaippil Pengal, Annai Therasa University, Kaodaikanal, 1986. தமிழில் இக்கட்டுதரயின் பமற்பகாள் 5. Thevathatha, Pen Padaippil Pengal, Annai Therasa University, Kaodaikanal, 1986. தமிழில் இக்கட்டுதரயின் பமற்பகாள் மலர்விழி. சவ “ சு.தமிழ்ச்செல்வி - மாணிக்கம் நாவலில் செண் கதத மாந்தர்கள்” புலம் :
ென்ைாட்டுத் தமிழியல் ஆய்விதழ், சதாகுதி 3, இதழ் 1, ெைவாி 2023, ெக். 18-27
Cite this Article in English PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES ISSN:2583-0139
ISSN:2583-0139
Vol.3: Issue 1, January 2022
ISSN:2583-0139
Vol.3: Issue 1, January 2022
ISSN:2583-0139
Vol.3: Issue 1, January 2022
இவ்வளவும் என்று ஊர்மக்கள் ஒன்று பெர்ந்து ெஞ்ொயத்து தவத்து மாமியார் இருந்த வீட்தே
செல்லாயிக்கு வாங்கி சகாடுத்தார்கள். மீண்டும் வீட்டில் ஒரு சொருள் கூே இல்லாமல் எப்ெடி
வாழ்வது என்று மைம் தளராமல் செல்லாயி உதழத்து ஒவ்சவான்ைாய்ச் பெர்த்து குடும்ெம்
நேத்திைாள் மூன்ைாவதாக ஆண்குழந்தத ெிைந்தது.
Vol.3: Issue 1, January 2022 ISSN:2583-0139 Vol.3: Issue 1, January 2022 இவ்வளவும் என்று ஊர்மக்கள் ஒன்று பெர்ந்து ெஞ்ொயத்து தவத்து மாமியார் இருந்த வீட்தே
செல்லாயிக்கு வாங்கி சகாடுத்தார்கள். மீண்டும் வீட்டில் ஒரு சொருள் கூே இல்லாமல் எப்ெடி
வாழ்வது என்று மைம் தளராமல் செல்லாயி உதழத்து ஒவ்சவான்ைாய்ச் பெர்த்து குடும்ெம்
நேத்திைாள் மூன்ைாவதாக ஆண்குழந்தத ெிைந்தது. இவ்வளவும் என்று ஊர்மக்கள் ஒன்று பெர்ந்து ெஞ்ொயத்து தவத்து மாமியார் இருந்த வீட்தே
செல்லாயிக்கு வாங்கி சகாடுத்தார்கள். மீண்டும் வீட்டில் ஒரு சொருள் கூே இல்லாமல் எப்ெடி
வாழ்வது என்று மைம் தளராமல் செல்லாயி உதழத்து ஒவ்சவான்ைாய்ச் பெர்த்து குடும்ெம்
நேத்திைாள் மூன்ைாவதாக ஆண்குழந்தத ெிைந்தது. அததைத் சதாேர்ந்து செண்குழந்தத ஒன்றும் ெிைந்தது, வாணி, மணி, நாஞ்ெி என்ை மூன்று
குழந்ததகளுக்குப் ெின்பு ெின்ைது ெிைந்ததும் செல்லமாக வளர்க்கப்ெட்ோள். ெள்ளியில் பெர்த்து
ெடிக்கதவத்தைர், நாஞ்ெியும் ஐ.டி.ஐ ெடித்திருந்தான். ெின்ைது ெள்ளிவிட்டு வீட்டிற்கு வராமல்
குளத்தில் விதளயாடிக் சகாண்டிருக்கும்சொழுது பெற்ைில் மாட்டி இைந்து விடுகிைாள். துன்ெம்
தாங்காமல் அழுதுசகாண்பே மயங்கிவிழுந்தாள். மற்ை மூன்று ெிள்தளகளுக்கும் திருமணம்
செய்துதவத்துவிட்டு குடிகாரக் கணவன் மாணிக்கத்துேன் தைியாக வாழ்ந்த செல்லாயி, வயதாை
ெின்பும் ஓயாமல் விவொய பவதலக்குச் செல்வதுேன் ஆடு, மாடு எை ெராமாித்து வந்தாள். மீன்ெிடி
சதாழில் செய்து நல்ல வருமாைம் வந்தும் மாணிக்கம் குடித்பத அழிந்தான். அத்துேன் அவன்
செல்லாயிதய அடிப்ெததயும் நிறுத்தவில்தல. தன் இதளய மகதள மைக்க முடியாமல் அவதளப் புததத்த அளம் பநாக்கிச் சென்ைாள். தன்
ெிள்தளயின் பமல் சகாண்டிருக்கும் ொெம், மாெற்ை அவளின் அன்பு ஆவலாய் மாைி, அந்த
உணர்வுகளதைத்தும் இரத்தத்பதாடு கலந்துவிட்ேது. அவள் எண்ணம் முழுவதும் அளத்ததபய
சுற்ைி சுற்ைி வந்தது. தன் குழந்தததயப் ொர்த்து சநஞ்பொடு அதைத்து அவபளாடு காற்ைாய் கதரந்து
பொகபவண்டும்
என்று
தன்
குழந்தததய
காணச்
சென்ை
செல்லாயி
அளத்திபல
உட்கார்ந்திருந்தாள். மிகுந்த ெலத்துேன் ஏபதா ஒன்று ெின்ைாலிருந்து அவதளத் தள்ளிவிட்ேது. குப்புை விழுந்து
பெறும் ெகதியுமாக வீடு வந்து விழுந்தாள் நான்கு மாதமாகியும் ெடுத்தப்ெடுக்தகதயவிட்டு எழாமல்
இருந்தாள்; ெிதததவ பநாக்கிப் ெயணித்த தைது குடும்ெத்ததக் காப்ொற்ை செல்லாயி ெட்ே
துன்ெங்கள் சொல்லி மாளாது. சதாேர்ந்து பொராடி குடும்ெ அதமப்ெில் செண்ணின் இருண்ே
சவளிதய சவளிச்ெமிட்டுக் காட்டும் இப்புதிைம் நவீை செண்ெமூகத்திற்கு செண்ணின் மை உறுதி,
உதழப்பு, அன்பு, ொெம் முதலியவற்பைாடு, ெதளக்காமல் செண் சதாேர்ந்து பொராடும் ெக்தி
சகாண்ேவள் என்ெதத எடுத்து இயம்புகிைது. முடிவுதர ஒரு புதிைம் ெிைப்ொக அதமய பவண்டுமாைால் கததயில் இேம்செறும் ொத்திரத்தின்
ெதேப்பு ெிைப்புற்ைிருக்க பவண்டும். அவ்வாறு ெதேக்கும் ொத்திரங்களில் யாதரப் ெற்ைி
ெிைப்ொக இேம்செைச் செய்கிைபதா அவர்கபள முதன்தம ொத்திரமாகக் கருதப்ெடுகின்ைைர். செல்லாயி
தன்
குடும்ெத்ததக்
காப்ொற்ை
மாமியார்
கணவர்
ெமூகம்
எை
அத்ததை
துன்ெங்கதளயும்
எதிர்சகாண்டு
குடும்ெ
அதமப்ெில்
உயர்ந்த
இேத்ததப்ெிடிப்ெதுேன்
காவியத்தில் நிதலசெறுகிைாள். PULAM: INTERNATIONAL JOURNAL OF TAMILOLOGY STUDIES
022
To Discern the Truth is Wisdom Quarterly Journal ISSN:2583-0139
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https://openalex.org/W4214575235
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https://www.frontiersin.org/articles/10.3389/fendo.2022.843539/pdf
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English
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Acute Effects of Liothyronine Administration on Cardiovascular System and Energy Metabolism in Healthy Volunteers
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Frontiers in endocrinology
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cc-by
| 9,295
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ORIGINAL RESEARCH
published: 28 February 2022
doi: 10.3389/fendo.2022.843539 Shanshan Chen 1,2, George F. Wohlford 3, Alessandra Vecchie’ 4,5, Salvatore Carbone 6,
Sahzene Yavuz 1, Benjamin Van Tassell 3, Antonio Abbate 4 and Francesco S. Celi 1* Shanshan Chen 1,2, George F. Wohlford 3, Alessandra Vecchie’ 4,5, Salvatore Carbone 6,
Sahzene Yavuz 1, Benjamin Van Tassell 3, Antonio Abbate 4 and Francesco S. Celi 1* 1 Division of Endocrinology Diabetes and Metabolism, Virginia Commonwealth University, Richmond, VA, United States,
2 Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, United States, 3 Department of
Pharmacotherapy and Outcomes Sciences, Virginia Commonwealth University, Richmond, VA, United States, 4 Division of
Cardiology, Virginia Commonwealth University, Richmond, VA, United States, 5 Department of Internal Medicine, ASST Sette
Laghi, Varese, Italy, 6 Department of Kinesiology and Health Sciences, College of Humanities and Sciences, Virginia
Commonwealth University, Richmond, VA, United States Edited by:
Alessandro Antonelli,
University of Pisa, Italy Context: The pharmacokinetics of liothyronine causes concerns for cardiovascular
toxicity. While the effects of sustained increase in serum T3 concentrations are well
described, little is known on the effects of acute changes in T3 concentrations due to rapid
action of thyroid hormone. University of Pisa, Italy
Reviewed by:
Satish Kumar Bedada,
SanofiIndia Limited, India
Jens Mittag,
University of Lübeck, Germany
*Correspondence:
Francesco S. Celi
fsceli@vcu.edu Reviewed by:
Satish Kumar Bedada,
SanofiIndia Limited, India
Jens Mittag,
University of Lübeck, Germany University of Lübeck, Germany
*Correspondence:
Francesco S. Celi
fsceli@vcu.edu Objective: To assess the clinical relevance of transient increase of T3 levels on
cardiovascular system and energy metabolism. *Correspondence:
Francesco S. Celi
fsceli@vcu.edu Setting: Double-blind, three arms, placebo controlled, cross-over study
(ClinicalTrials.gov Identifier: NCT03098433). Specialty section:
This article was submitted to
Thyroid Endocrinology,
a section of the journal
Frontiers in Endocrinology Specialty section:
This article was submitted to
Thyroid Endocrinology,
a section of the journal
Frontiers in Endocrinology
Received: 26 December 2021
Accepted: 02 February 2022
Published: 28 February 2022 Study Participants: Twelve volunteers (3 females, 9 males), age 27.7 ± 5.1 years. Intervention: Oral administration of liothyronine 0.7 mcg/kg, equimolar dose of
levothyroxine (0.86 mcg/kg), or placebo in three identical study visits. Blood samples for
total T3, free T4 were collected at times 0’, 60’ 120’ 180’ 240’. Continuous recording of
heart rate, blood pressure, and hemodynamic data was performed using the volume clamp
method. Resting energy expenditure was measured by indirect calorimetry. An
echocardiogram was performed on each study visit at baseline and after the last blood
sampling. Received: 26 December 2021
Accepted: 02 February 2022
Published: 28 February 2022 ORIGINAL RESEARCH
published: 28 February 2022
doi: 10.3389/fendo.2022.843539 INTRODUCTION observations contribute to a renewed interest in the therapeutic
and pharmacologic use of LT3 (8, 12, 13), with a specific interest
in developing “new well-designed adequately powered clinical
trial of combination therapy” (14). The goals of the treatment of hypothyroidism are “to achieve a
state of euthyroidism and normalization of the circulating levels
of TSH and thyroid hormones” (1), whereby TSH is used as a
powerful and reliable proxy for euthyroidism owing to its robust
correlation with free T4 concentration (2). This is commonly
achieved with levothyroxine (LT4) which is relatively
inexpensive, available in multiple strengths and administered
in single dose. This strategy relies on the conversion of the
prodrug LT4 into its active metabolite T3 to correct the lack of
endogenous T3 production (estimated as 15% of the total
circulating pool) from the thyroid gland (3). Experimental data
(4, 5) indicate that LT4 alone is not sufficient to restore tissue
euthyroidism, and clinical observations (6) demonstrate that
circulating levels of T3 are reduced in patients receiving LT4
therapy. Clinically, a significant percentage of patients
adequately treated with LT4 complain of residual symptoms
which may be attributed to hypothyroidism (7). Collectively,
these observations have prompted interest in LT4/Liothyronine
(synthetic T3, LT3) combination therapy or desiccated thyroid
extracts as means to correct for the loss of endogenous T3, and
improve symptomatology (8). The pharmacokinetic characteristics of LT4 allow for once-
daily administration. In contrast, LT3 has a short distribution
half-life resulting in significant changes in serum T3
concentrations (15). Thus, a once-daily administration regimen
would result in post-absorptive peaks above the normal range
(15). Since extended release formulations of LT3 are not
available, in LT3/LT4 combination therapy a twice daily low-
dose LT3 administration is recommended to minimize
fluctuations of serum T3 (13, 14). The tradeoff is a
cumbersome regimen which is not convenient for a lifelong
therapy, as well complicating the recruitment and retention in
clinical studies (16). The main concern for cardiovascular complications due to
transient rise in serum T3 concentrations above the normal
range stems from extrapolations from chronic exposure to
supraphysiologic doses (either endogenous or exogenous) of
T3, and from the in vitro evidence of rapid, non-genomic
effects of T3 in vascular endothelium and cardiomyocytes (17,
18), which would be directly exposed to fluctuations in the T3
concentrations as a result of LT3 administration. Citation: Chen S, Wohlford GF, Vecchie’ A,
Carbone S, Yavuz S, Van Tassell B,
Abbate A and Celi FS (2022) Acute
Effects of Liothyronine Administration
on Cardiovascular System and Energy
Metabolism in Healthy Volunteers. Front. Endocrinol. 13:843539. doi: 10.3389/fendo.2022.843539 Main Outcome Measures: Changes in cardiovascular function and energy expenditure. Results: Following the administration of liothyronine, serum T3 reached a Cmax of 421 ±
57 ng/dL with an estimated Tmax of 120 ± 26 minutes. No differences between study arms February 2022 | Volume 13 | Article 843539 1 Frontiers in Endocrinology | www.frontiersin.org Chen et al. Acute Effects of Liothyronine were observed in heart rate, blood pressure, hemodynamics parameters, energy
expenditure, and in echocardiogram parameters. Conclusions: The absence of measurable rapid effects on the cardiovascular system
following a high dose of liothyronine supports the rationale to perform long-term studies to
assess its safety and effectiveness in patients affected by hypothyroidism. Keywords: liothyronine, rapid effects of thyroid hormone, cardiovascular function, energy expenditure,
pharmacokinetics, pharmacodynamics INTRODUCTION We
hypothesized that if there is a clinically relevant rapid action of
LT3, we would be able to detect measurable and clinically-
significant, temporal changes in cardiovascular function and
energy expenditure following a high, single-dose LT3
(Figure 1). Otherwise, from the clinical perspective, the action Whereas most clinical studies have showed modest to nihil
improvement in symptoms and quality of life (1), a plurality of
patients appeared to prefer combination therapy (9, 10). Moreover, a secondary analysis of the largest study indicated
that carriers of the Ala92 allele of the type 2 deiodinase gene
showed a significant improvement in quality of life (11). These B A
B
FIGURE 1 | Study hypothesis. (A) If clinically relevant, rapid action of LT3 (dashed red line), would be measurable following a pharmacological dose at or
immediately after Cmax. (B) Conversely, if the thyroid action is entirely attributable to genomic signaling (continuous red line) one would expect minimal measurable
effects during the distribution phase with a gradual and delayed onset. Black continuous line: pharmacokinetics of single dose LT3. The shaded area represents the
reference range for serum T3. B A FIGURE 1 | Study hypothesis. (A) If clinically relevant, rapid action of LT3 (dashed red line), would be measurable following a pharmacological dose at or
immediately after Cmax. (B) Conversely, if the thyroid action is entirely attributable to genomic signaling (continuous red line) one would expect minimal measurable
effects during the distribution phase with a gradual and delayed onset. Black continuous line: pharmacokinetics of single dose LT3. The shaded area represents the
reference range for serum T3. February 2022 | Volume 13 | Article 843539 Frontiers in Endocrinology | www.frontiersin.org 2 Acute Effects of Liothyronine Chen et al. whole-room indirect calorimeter (WRIC), were fitted with the
Nexfin ™pulse-wave monitor, and a 40’ baseline recording of
Energy Expenditure (EE) was conducted before ingesting the
study drugs or placebo. Blood samples were collected at times 0’,
60’ 120’ 180’ 240’. Immediately after the last blood draw the
volunteers underwent echocardiogram, and were discharged
from the CRSU. All studies were conducted in the morning,
and each individual participant had their studies performed at
the same time of the day. We selected a 4-hour observation
window to capture any PD events occurring immediately after
the Cmax based on our knowledge of the PK characteristics of
liothyronine (1). INTRODUCTION of LT3 would be entirely attributable to long-term transcriptional
effects, and transient changes in serum T3 concentrations would
not be a concern, supporting single daily administration of LT3
alone or in combination with LT4. Here we present a pharmacokinetics-pharmacodynamics
study designed to assess the clinical relevance of rapid effects
of T3, with a particular focus on myocardial function, systemic
vascular resistance, and energy metabolism. Drug Formulation and Dosing
® The study design was double blind, controlled, crossover with
two active formulations (LT3 and LT4), and placebo
(ClinicalTrials.gov Identifier: NCT03098433). The study was
approved by the Virginia Commonwealth University IRB and
all study participants provided written informed consent. All
study procedures were conducted in the Clinical Research
Service Unit (CRSU). Oral liquid formulation LT3 (Liotir® 100 mcg/ml), LT4
(Tirosint® 100 mcg/ml), and placebo were kindly donated by
IBSA Institut Biochimique Lugano (Switzerland), and utilized
under a (research) FDA Investigational New Drug (IND)
(n.132993, Sponsor Francesco S. Celi). Study drugs were stored
and dispensed by the VCU Investigational Pharmacy which
performed the randomization and maintained the study blind. LT3 was administered at a weight-based dose of 0.7 mcg/kg
(equivalent to a dose of 50 mcg in a 70 Kg individual), and LT4
was administered at an equimolar dose of 0.86 mcg/kg. Inclusion criteria were age 18-45 years, BMI 20-30 kg/m2, and
TSH 0.5-5.0 mIU/mL. Exclusion criteria were: thyroid
autoimmunity by history or positive anti-thyroid peroxidase
(TPO) antibodies; pregnancy or lactation; hypothyroidism; use
of prescription drugs; diabetes mellitus; dyslipidemia; coronary
artery disease; hypertension; anemia; renal insufficiency; liver
disease or ALT >2.5x the upper laboratory reference limit;
psychiatric conditions; tobacco use. Assays Serum samples were separated on the day of the study and stored
in a -80°C. Free T4, total T3 and TSH assays were processed in
batch on an Abbott Architect i2000SR Immunoassay analyzer by
the VCU Division of Clinical Pathology. Intra-assay variability for
free T4 (reference range 0.7-1.5 ng/dL) was 2.3-3.8%; inter-assay
variability was 3.6-5.2%. Intra-assay variability for total T3
(reference range 60-181 ng/dL) was 1.9-2.7%; inter-assay
variability was 2.3-7.3%. Intra-assay variability for total TSH was
1.2-2.0%; inter-assay variability was 1.7-3.3%. All other assays Qualifying volunteers underwent three identical study visits
separated by at least 48 hours. The study scheme and procedures
are reported in Figure 2. Study participants were instructed to
refrain from strenuous exercise the day before the study. Upon
arrival to the CRSU after an overnight fast, study volunteers were
fitted with an i.v. cannula, vital signs were recorded, and an
echocardiogram was performed. Next, the volunteers entered the FIGURE 2 | Study design. Top panel: timeline of the study. After enrollment, study volunteers underwent three identical visits each separated by at least 48
hours. Bottom panel: study procedures. An echocardiogram was performed upon arrival to the Clinical Research Services Unit and after completion of the stay
in the whole room indirect calorimeter. Energy expenditure was recorded for at least 30’ before the administration of the study drug or placebo. Five blood
samples were collected to record the LT4 and LT3 pharmacokinetics. Blood pressure, heart rate, and hemodynamics data were collected throughout the stay in
the whole room calorimeter. FIGURE 2 | Study design. Top panel: timeline of the study. After enrollment, study volunteers underwent three identical visits each separated by at least 48
hours. Bottom panel: study procedures. An echocardiogram was performed upon arrival to the Clinical Research Services Unit and after completion of the stay
in the whole room indirect calorimeter. Energy expenditure was recorded for at least 30’ before the administration of the study drug or placebo. Five blood
samples were collected to record the LT4 and LT3 pharmacokinetics. Blood pressure, heart rate, and hemodynamics data were collected throughout the stay in
the whole room calorimeter. February 2022 | Volume 13 | Article 843539 Frontiers in Endocrinology | www.frontiersin.org Acute Effects of Liothyronine Chen et al. were performed on an Abbott Architect c8000 Clinical Chemistry
analyzer with the exception of TPO antibodies (LabCorp). interaction effects. Study Population The accrual occurred between July, 2017 and June 2019, and
twelve volunteers (3 females, 9 males, age 27.7 ± 5.1 years, weight
75.0 ± 12.9 Kg) completed the study. LT3 and LT4 doses were
52.5 ± 9.0 mcg, and 64.5 ± 11.1 mcg, respectively. No adverse
event was reported, and study volunteers did not report any
subjective difference in well-being, anxiety, thermoregulation, or
heart rate among the three interventions. The study population
characteristics are reported in Table 1, while the recruitment
details are reported in Figure 3 (CONSORT chart). Assays The first 20~40 minutes in the WRIC were
indexed as 0 and the following minutes were indexed as [1, 2,
…,240], such that the baseline EE and baseline hemodynamic data
were aggregated and adjusted as intercepts in the linear mixed-
effects model. The serial correlations in these time series were
modeled using an autoregressive correlation structure of order 1
[i.e. AR (1)]. In the mixed-effects model for analyzing
echocardiogram data, we modeled the linear change of pre- and
post-study, and the interaction effects of the linear time effects and
the doses(LT3andLT4).Lastly, weused twoone-sided test (TOST)
procedure to detect whether the estimated fixed effects in these
models are falling within regions that are equivalently to zero, given
pre-defined lower and upper bounds. Energy Expenditure The recording was conducted in a validated, small (about 5000
liters in volume) WRIC fitted with airtight ports to allow for
blood draws. This WRIC system allows for accurate and fast
measure of energy expenditure (EE) with an error of ±45kcal/day
(0.03 kcal/min on average). This error range means that a
meaningful effect size in EE is above 0.06 kcal/min (2, 3). Throughout the recording the study participants were seated
on a phlebotomy chair in resting position. Pharmacokinetics All the potential combinations in the randomization sequence
were observed; two subjects were assigned to each combination
sequence with the exception of LT4-LT3-placebo (three subjects)
and LT4-placebo-LT3 (one subject). The PK parameter estimates
for total T3 following oral LT3 administration and free T4
following oral LT4 administration are presented in Table 2
and Figure 4. Following a single dose of LT3, the Tmax was
estimated to be 120 ± 26 minutes with a Cmax of 328 ± 57 ng/dL
when corrected for baseline. The observed clearance (assuming
complete oral bioavailability) was estimated to be 45 ± 13 mL/
min with an observed terminal half-life (t1/2) of 216 ± 51
minutes. The calculated AUC from baseline to 240 minutes
was 54500 ± 8900 min*ng/dL. Repeating the analysis, without
correcting baseline, the observed Cmax was estimated to be 421 ± Heart rate (HR), blood pressure (BP), and hemodynamic data
cardiac output (CO), stroke volume (SV), and systemic vascular
resistance (SVR), a proxy for endothelial vascular function, were
measured with a ccNexfin system (Edwards Lifesciences Corp) (6–
8) located in the WRIC. This is a non-invasive device based on the
volume clamp method, which continuously measures BP by
clamping the artery to a constant volume by dynamically
providing equal pressure on either side of the arterial wall, while
the volume is measured by a photo-plethysmograph built into a
finger cuff. This device is very precise and accurate when compared
with measurement of cardiac output using pulmonary artery
catheter thermodilution (6, 9). Doppler Echocardiography g
Resting transthoracic Doppler echocardiography was recorded
before entering in the WRIC and immediately after the
completion of the study (240’). The following parameters were
recorded: left ventricular (LV) end‐diastolic and LV end‐systolic
volumes, LV ejection fraction (LVEF) as a measure of systolic
function; early mitral annular velocities by tissue Doppler averaged
between the lateral and septal (e′) annulus and the early transmitral
velocity (E) on pulsed‐wave Doppler spectra. These measures were
used to calculate the E/e′ ratio, a surrogate of left ventricular filling
pressures. Tricuspid Annular Plane Systolic Excursion (TAPSE)
was used to assess right ventricular function (4, 5). The
measurements were performed by a cardiologist (AA) blinded to
the treatment on an IE33 Phillips apparatus. February 2022 | Volume 13 | Article 843539 Frontiers in Endocrinology | www.frontiersin.org Statistical Analysis TABLE 1 | Study Participants characteristics. Females (3)
Males (9)
All
Age (yr)
30.3 ± 7.7
26.8 ± 4.1
27.7 ± 5.1
Weight (Kg)
61.7 ± 7.4
79.4 ± 11.3
75.0 ± 12.9
Height (cm)
168.5 ± 4.8
177.2 ± 8.7
175.0 ± 8.6
BMI (Kg/m2)
21.5 ± 1.8
25.2 ± 2.3
24.3 ± 2.7
Systolic BP (mmHg)
106 ± 11
121 ± 7
117 ± 10
Diastolic BP (mmHg)
61 ± 5
71 ± 6
69 ± 7
Heart rate (bpm)
71 ± 14
67 ± 10
68 ± 10
TSH (mIU/mL)
0.86 ± 0.24
1.46 ± 0.84
1.30 ± 0.77
FreeT4 (ng/dL)
1.17 ± 0.06
1.02 ± 0.07
1.05 ± 0.09
Fasting Glucose (mg/dL)
85.3 ± 5.9
89.7 ± 8.5
88.6 ± 7.9 y
Pharmacokinetic (PK) parameters for LT3 following LT3
administration and LT4 following LT4 administration were
estimated using each individual participant’s observed
concentration data (with and without background correction) as
assessed by noncompartmental analysis (NCA) using PKanalix
version 2020R1 (Lixsoft©) software. EE, hemodynamic metrics and
echocardiogram data were preprocessed in Matlab 2020a
(Mathworks Inc, Natick, Massachussetts), and analyzed using
mixed-effects models in R Studio (R version 3.6.3, RStudio Inc.,
Boston, Massachusetts). Totest whether acute effects of study drugs
occurred, we modeled the interaction effects of linear as well as
quadratic time effects and the drugs (LT3 and LT4), and significant TABLE 1 | Study Participants characteristics. February 2022 | Volume 13 | Article 843539 Frontiers in Endocrinology | www.frontiersin.org 4 Chen et al. Acute Effects of Liothyronine FIGURE 3 | CONSORT chart. TABLE 2 | Non-compartmental analysis pharmacokinetic parameter estimates. Pharmacokinetic Parameter
Total T3 following LT3 administration
(background correction)
Total T3 following LT3 administration
(without background correction)
Free T4 following T4 administration
(without background correction)
N, subjects with full PK parameter
estimates available
12
12
8
tmax, min (SD)
120 (26)
120 (26)
130 (80)
Cmax, ng/dL (SD)
327 (57)
421 (57)
1.1 (0.15)
t1/2, min (SD)
216 (51)
294 (69)
1670 (630)
CL, mL/min, (SD)
45 (13)
26 (6)
2700 (940)
AUC(0-240), min • ng/dL, (SD)
54500 (8900)
76900 (8600)
246 (28) FIGURE 3 | CONSORT chart. TABLE 2 | Non-compartmental analysis pharmacokinetic parameter estimates. TABLE 2 | Non-compartmental analysis pharmacokinetic parameter estimates. Equivalence Tests We also tested the whether the estimated effect sizes in Tables 4,
5 are equivalence to zero using the TOST procedure. The p-
values for rejecting that effect sizes fall beyond the bounded zero
region are reported in Tables 6, 7 respectively. The small p-
values indicate that those effect sizes are equivalent to zero,
demonstrating that there was no difference in temporal trends of
the physiological parameters or pre- and post- study effects of the
echocardiography when comparing LT3 or LT4 against placebo. A significant decrease in TSH from 0’ to 240’ was observed in all
treatment arms (LT3 0.72 ± 0.40 LT4 0.66 ± 0.46, placebo 0.45 ±
0.49 mIU/mL, all p<0.01) (Figure 4). A mixed-effects model analysis
indicates no significant difference in TSH decrease following LT4 or
LT3 administration compared with following placebo (Table 3). Statistical Analysis Pharmacokinetic Parameter
Total T3 following LT3 administration
(background correction)
Total T3 following LT3 administration
(without background correction)
Free T4 following T4 administration
(without background correction)
N, subjects with full PK parameter
estimates available
12
12
8
tmax, min (SD)
120 (26)
120 (26)
130 (80)
Cmax, ng/dL (SD)
327 (57)
421 (57)
1.1 (0.15)
t1/2, min (SD)
216 (51)
294 (69)
1670 (630)
CL, mL/min, (SD)
45 (13)
26 (6)
2700 (940)
AUC(0-240), min • ng/dL, (SD)
54500 (8900)
76900 (8600)
246 (28) Total T3 following LT3 administration
(background correction)
Total T3 following LT3 administration
(without background correction)
Free T4 following T4 administration
(without background correction) systolic or diastolic BP, CO or SVR were observed following the
administration of the study drugs or placebo. Similarly, no
differences were observed in the Doppler echocardiography
studies conducted before and after administration of the study
drugs or placebo. These data are reported in Tables 4, 5. 57 ng/dL with an observed terminal t1/2 of 294 ± 69 minutes. The administration of a single dose of LT4 resulted in modest
observable increases in free T4. However, when the observed
concentrations were background corrected, only 2 subjects met
criteria for NCA. This was attributed to the limited sampling
schedule that did not capture the terminal phase. When the
analysis was repeated without correction for endogenous T4, 8 of
the 12 subjects data allowed for full parameter estimation by
NCA. The Tmax was estimated to be 130 ± 80 minutes and Cmax
1.1 ± 0.15 ng/dL. The observed clearance was 27 ± 9 mL/min and
the calculated AUC from baseline to 240 minutes was 246 ± 28
min*ng/dL. The reported PK parameter estimates for LT4
following LT4 administration should be considered in the
setting of the limited PK sampling schedule and likely limited
capture of the terminal phase. DISCUSSION LT3 therapy for hypothyroidism is associated with weight loss,
decreased cholesterol concentrations and a trend toward
improved diastolic function (10). Very recently, similar
findings on weight and lipid parameters have been reported in
elderly patients affected by subclinical hypothyroidism (11). Physiology Parameters Physiology Parameters Compared to placebo, no temporal change was observed in EE or
substrate utilization. No significant temporal changes in HR, February 2022 | Volume 13 | Article 843539 Frontiers in Endocrinology | www.frontiersin.org 5 Acute Effects of Liothyronine Chen et al. TABLE 3 | Linear mixed-effects model for changes in TSH. Serum TSH Level (mIU/mL)
p
Predictors
Estimates
CI
(Intercept)
1.65
0.94 – 2.36
<0.001
Dose [LT3]
-0.18
-0.77 – 0.41
0.543
Dose [LT4]
0.15
-0.44 – 0.74
0.608
Post-study
-0.45
-1.04 – 0.14
0.13
Dose [LT3] * Post-study
-0.27
-1.10 – 0.56
0.519
Dose [LT4] * Post-study
-0.21
-1.04 – 0.63
0.621
Intercept captures the baseline average of TSH level pre-study on placebo days. Dose
[LT3] and Dose [LT4] captures the difference of the baseline TSH on LT3 days and LT4
days, in comparison to those on placebo days. Post-study indicates the pre- and post-
study change of the outcomes on placebo days. Dose [LT3] * Post-study captures
differences of the pre- and post- study change between LT3 and placebo. Dose [LT4] *
Post-study captures differences of the pre- and post- study change between LT4 and
placebo. Numbers for the effect sizes (Estimates) and 95% confidence interval (CI) were
rounded to 2 decimal places. We did not observe significant differences of pre- and post-
study changes in TSH levels from either LT3 or LT4 administration in comparison to
placebo administration. Bold values indicate statistical significance. TABLE 3 | Linear mixed-effects model for changes in TSH. A
B
C
FIGURE 4 | Thyroid hormone and TSH kinetics following study drugs
administration. (A) changes in total T3 concentration from baseline following
LT3 administration. (B) changes in free T4 concentration from baseline
following LT4 administration. (C) TSH concentrations at baseline and 240’
following administration of LT3, LT4, and placebo. Data are presented as
mean ± SEM. ns, not significant. A A B B Bold values indicate statistical significance. was administered in single daily dose. Since LT3 was originally
approved for treatment of hypothyroidism in 1956 (15), this
drug did not undergo the rigorous clinical testing currently
necessary for approval and has been “grandfathered” for
current use. Although the package insert recommends once-a
day administration, the consensus among thyroidologists is to
subdivide the dose to limit the fluctuations in serum T3
concentrations (16). Physiology Parameters Because of lack of long-term studies on its
safety and effectiveness, the American Thyroid Association
recommends against its use for the treatment of
hypothyroidism (17). Specifically, the concerns for potential
toxicity of supraphysiologic serum concentrations of T3 has
hampered the use of LT3 alone or LT3/LT4 combination
therapy in patients with hypothyroidism. C
FIGURE 4 | Thyroid hormone and TSH kinetics following study drugs
administration. (A) changes in total T3 concentration from baseline following
LT3 administration. (B) changes in free T4 concentration from baseline
following LT4 administration. (C) TSH concentrations at baseline and 240’
following administration of LT3, LT4, and placebo. Data are presented as
mean ± SEM. ns, not significant. C C LT3 is promptly absorbed following oral administration, and
doses as low as 0.25 mcg/Kg result in increase in T3 serum
concentration well above the upper limit of reference, raising the
concern for cardiovascular toxicity. Rapid, non-genomic actions
of thyroid hormone have been demonstrated in vitro in
endothelial vascular cells (18), providing additional rationale
for the concern for toxicity due to the exposure of the vasculature
to transient increase in T3 serum concentrations following LT3
administration. The interaction between T3 and integrins results
in the production of nitric oxide, promoting vasodilation (19,
20). Despite these laboratory-based data, the clinical relevance of
rapid effects of thyroid hormone is not clear. Studies performed
in ex vivo models of vasculature contractility are conflicting:
Gachkar and colleagues demonstrated a rapid response to
physiologic concentrations of T3, and a decreased response to
both hyper- and hypothyroid concentrations, not mediated by
AKT, ERK or AMPK (21). More recently, other authors
demonstrated an increase in vasodilation following exposure to
T3, mediated by PI3K pathway and thyroid hormone receptor
alpha (22). Experiments conducted in an animal model of
hypothyroidism indicate that exposure to high dose LT3
generates a measurable transcriptional effect within 30’
reaching a maximum effect after 6 hours (23). Clinically, the FIGURE 4 | Thyroid hormone and TSH kinetics following study drugs
administration. (A) changes in total T3 concentration from baseline following
LT3 administration. (B) changes in free T4 concentration from baseline
following LT4 administration. (C) TSH concentrations at baseline and 240’
following administration of LT3, LT4, and placebo. Data are presented as
mean ± SEM. ns, not significant. Additionally, experimental evidences suggest that low dose
supplementation of LT3 improves myocardial contractility in
patients with congestive heart failure (12). Physiology Parameters Moreover, a
secondary analysis of the largest LT3/LT4 combination therapy
study (13) showed improved quality of life in carriers of the
inactivating Thr92Ala type-2 deiodinase polymorphism
receiving LT3 supplements (14). Of interest, in this trial LT3 February 2022 | Volume 13 | Article 843539 Frontiers in Endocrinology | www.frontiersin.org 6 Acute Effects of Liothyronine Chen et al. TABLE 4 | Results from linear mixed-effects models for changes in EE and hemodynamic metrics. Fixed Effects
EE
Heart Rate
Cardiac Output
Estimates
SE
p
Estimates
SE
p
Estimates
SE
p
(Intercept)
1.281
0.073
<0.001
66.828
2.051
<0.001
6.427
0.348
<0.001
Dose [LT3]
-0.025
0.033
0.451
1.508
1.189
0.218
0.140
0.346
0.690
Dose [LT4]
0.031
0.033
0.364
1.714
1.181
0.161
0.043
0.344
0.901
Time
0.000
0.000
0.801
-0.020
0.018
0.265
0.000
0.004
0.911
Time2
0.000
0.000
0.906
0.000
0.000
0.168
0.000
0.000
0.870
Dose [LT3] * Time
0.000
0.000
0.813
-0.004
0.022
0.867
0.002
0.005
0.623
Dose [LT4] * Time
0.000
0.000
0.475
0.018
0.021
0.409
0.002
0.005
0.679
Dose [LT3] * Time2
0.000
0.000
0.976
0.000
0.000
0.676
0.000
0.000
0.704
Dose [LT4] * Time2
0.000
0.000
0.814
0.000
0.000
0.278
0.000
0.000
0.448
Stroke Volume
Systemic Vascular Resistance
Estimates
SE
p
Estimates
SE
p
(Intercept)
97.951
5.616
<0.001
1449.916
158.203
<0.001
Dose [LT3]
-0.931
4.879
0.850
-108.190
185.411
0.566
Dose [LT4]
-2.704
4.871
0.584
-28.161
183.971
0.880
Time
0.038
0.034
0.265
2.498
2.898
0.389
Time2
0.000
0.000
0.137
-0.008
0.015
0.587
Dose [LT3] * Time
0.025
0.043
0.569
-3.311
3.340
0.322
Dose [LT4] * Time
-0.002
0.043
0.965
-4.873
3.319
0.142
Dose [LT3] * Time2
0.000
0.000
0.833
0.021
0.017
0.197
Dose [LT4] * Time2
0.000
0.000
0.980
0.022
0.017
0.182
Intercept captures the baseline average of each outcome during the first 20-40 minutes in the chamber before the dose administration of on placebo days. Dose[LT3] and Dose[LT4]
captures the difference of the baseline averages on LT3 days and LT4 days, in comparison to that on placebo days. Time (Minute) and Time2 indicate the linear and quadratic effect of time
on placebo days, capturing the temporal trends of each outcome. Dose [LT3] * Time captures the difference in linear time effects between the placebo and the LT3 dose, and Dose [LT3] *
Time2 captures the difference in quartic time effects between the placebo and the LT3 dose. Physiology Parameters To control for potential non-specificity in the
nongenomic effects of thyroid hormone, in addition to placebo we
included a study arm of equimolar LT4 dose as additional control. By using liquid formulations of LT3 and LT4 we were able to
titrate the doses to adjust for the participants’ weight, further
increasing the internal validity of the study. When compared to
our previous observations on tablet formulation (1), liquid LT3
showed a similar Tmax, while, as expected, the Cmax was much
greater due to the higher LT3 dose employed in this study. The
decrease in TSH from baseline to the end of the study, which is
consistent with the hormone biorhythm (28) and possibly
amplified by the prolonged fast, was not different among the
active drugs and placebo. We speculated that, if rapid effects of T3 were of clinical
relevance, transient exposure to T3 concentrations above normal
range would result in measurable and potentially clinically
significant changes in the cardiovascular system and energy
metabolism owing to the exquisite sensitivity of these end-
organ targets to the action of thyroid hormone (26, 27). Moreover, since the endothelial vascular cells are exposed to
changes in T3 concentrations, measurement of their function by
assessing systemic vascular resistance would represent an ideal
readout to assess acute effects of supraphysiologic doses of LT3. We speculated that, if rapid effects of T3 were of clinical
relevance, transient exposure to T3 concentrations above normal
range would result in measurable and potentially clinically
significant changes in the cardiovascular system and energy
metabolism owing to the exquisite sensitivity of these end-
organ targets to the action of thyroid hormone (26, 27). Moreover, since the endothelial vascular cells are exposed to
changes in T3 concentrations, measurement of their function by
assessing systemic vascular resistance would represent an ideal
readout to assess acute effects of supraphysiologic doses of LT3. To test this hypothesis, we conducted a pharmacokinetics/
pharmacodynamic study directed to these targets of the hormonal
action. In this study we chose to investigate a short timeframe
based on our knowledge of liothyronine PK (1), aiming to capture
events occurring at and immediately after the Cmax, i.e. at the time
of maximal exposure of endothelial and myocardial cells to the
peak serum T3 concentrations. Physiology Parameters Dose [LT4] * Time captures the difference in linear time effects between the placebo and the
LT4 dose, and Dose [LT4] * Time2 captures the difference in quartic time effects between the placebo and the LT4 dose. Numbers for the effect sizes (Estimates) and Standard Errors (SE)
were rounded to 3 decimal places. The zero values indicate that there were no temporal trends observed in the time series of the outcomes on placebo days or on the active dose days. Bold values indicate statistical significance. TABLE 4 | Results from linear mixed-effects models for changes in EE and hemodynamic metrics. Intercept captures the baseline average of each outcome during the first 20-40 minutes in the chamber before the dose administration of on placebo days. Dose[LT3] and Dose[LT4]
captures the difference of the baseline averages on LT3 days and LT4 days, in comparison to that on placebo days. Time (Minute) and Time2 indicate the linear and quadratic effect of time
on placebo days, capturing the temporal trends of each outcome. Dose [LT3] * Time captures the difference in linear time effects between the placebo and the LT3 dose, and Dose [LT3] *
Time2 captures the difference in quartic time effects between the placebo and the LT3 dose. Dose [LT4] * Time captures the difference in linear time effects between the placebo and the
LT4 dose, and Dose [LT4] * Time2 captures the difference in quartic time effects between the placebo and the LT4 dose. Numbers for the effect sizes (Estimates) and Standard Errors (SE)
were rounded to 3 decimal places. The zero values indicate that there were no temporal trends observed in the time series of the outcomes on placebo days or on the active dose days. Bold values indicate statistical significance. reports of toxicity secondary to trauma with release of thyroid
hormone from the gland, or following acute poisoning indicate a
significant lag time (24, 25), suggesting that the majority of the
harm caused by thyrotoxicosis is ascribable to transcriptional
effects of thyroid hormone. It is possible that the discrepancies
between laboratory-based experiments and in vivo observations
could be explained by the dynamic of acute exposure (seconds)
to thyroid hormone vs. the much slower changes in thyroid
hormone concentrations following oral administration. reference range. Frontiers in Endocrinology | www.frontiersin.org Physiology Parameters We used a pharmacologic dose
which would produce peak T3 concentration well above the upper Our data indicate no significant differences or appreciable trend
during our observation in the all the study endpoints despite
achieving clearly supraphysiologic serum T3 concentrations. Specifically, during the four hours following the administration of
LT3, we did not observe any change in HR or BP, or estimates of CO
and SVR. Moreover, we independently assessed the acute effects of
LT3onthemyocardiumbyperformingaDopplerechocardiography
study before and after each of the studies. Similar to the ccNexfin
continuous recordings, we observed no measurable effects on
myocardial contractility. Finally, no differences were observed in
energy metabolism measured by the WRIC. To test this hypothesis, we conducted a pharmacokinetics/
pharmacodynamic study directed to these targets of the hormonal
action. In this study we chose to investigate a short timeframe
based on our knowledge of liothyronine PK (1), aiming to capture
events occurring at and immediately after the Cmax, i.e. at the time
of maximal exposure of endothelial and myocardial cells to the
peak serum T3 concentrations. We used a pharmacologic dose
which would produce peak T3 concentration well above the upper Our data are consistent with the observations of Jonklaas et al. that showed significant increase in heart rate and blood pressure
only after five hours from the administration of a pharmacologic February 2022 | Volume 13 | Article 843539 7 Acute Effects of Liothyronine Chen et al. TABLE 5 | Results from linear mixed-effects models for changes in echocardiogram outcomes. Fixed Effects
LVEF
E
E/e’
TAPSE
Estimates
SE
p
Estimates
SE
p
Estimates
SE
p
Estimates
SE
p
(Intercept)
59.182
1.701
0.000
14.327
0.521
0.000
5.493
0.315
0.000
2.450
0.105
0.000
Dose [LT3]
2.000
1.604
0.219
-0.324
0.585
0.583
0.205
0.269
0.450
0.047
0.090
0.603
Dose [LT4]
0.494
1.654
0.767
0.351
0.603
0.563
0.121
0.269
0.655
-0.102
0.093
0.285
Post-study
-0.306
1.654
0.854
0.176
0.603
0.772
0.123
0.278
0.660
0.095
0.093
0.313
Dose [LT3] * Post
0.488
2.304
0.833
-0.008
0.840
0.993
-0.112
0.389
0.775
-0.122
0.127
0.344
Dose [LT4] * Post
0.906
2.359
0.703
0.089
0.860
0.918
-0.089
0.390
0.821
0.033
0.130
0.802
Intercept captures the baseline average of echocardiogram metrics pre-study on placebo days. Dose [LT3] and Dose [LT4] captures the differences of the baseline averages on LT3 days
and LT4 days, in comparison to those on placebo days. Physiology Parameters Post-study indicates the pre- and post- study change of the outcomes on placebo days. Dose [LT3] * Post-study captures
differences of the pre- and post- study change between LT3 and placebo. Dose [LT4] * Post-study captures differences of the pre- and post- study change between LT4 and placebo. Numbers for the effect sizes (Estimates) and standard errors (SE) were rounded to 2 decimal places. We did not observe significant differences of pre- and post- study changes in
echocardiogram outcomes from either LT3 or LT4 administration in comparison to placebo administration. TABLE 5 | Results from linear mixed-effects models for changes in echocardiogram outcomes. Intercept captures the baseline average of echocardiogram metrics pre-study on placebo days. Dose [LT3] and Dose [LT4] captures the differences of the baseline averages on LT3 days
and LT4 days, in comparison to those on placebo days. Post-study indicates the pre- and post- study change of the outcomes on placebo days. Dose [LT3] * Post-study captures
differences of the pre- and post- study change between LT3 and placebo. Dose [LT4] * Post-study captures differences of the pre- and post- study change between LT4 and placebo. Numbers for the effect sizes (Estimates) and standard errors (SE) were rounded to 2 decimal places. We did not observe significant differences of pre- and post- study changes in
echocardiogram outcomes from either LT3 or LT4 administration in comparison to placebo administration. dose of LT3 (29). Of note, in their study, the subjects were given
lunch at 4-hour, which per se may have resulted in post-prandial
HR elevation (30); thus, the true cardiovascular response beyond
4 hours without confounding factors remains to be captured. speculate that these results provide the rationale to consider the
use of single administration of LT3, rather than trying to reach
stable serum concentrations by extended release formulations or
by multiple daily administrations regimens. Conversely, we want
to affirm that absent an empirical demonstration of effectiveness
and safety of once daily administration regimen, this
interpretation of the data should not translate in clinical practice. Collectively, the results of our study indicate that a single
administration of LT3, sufficient to transiently increase the T3
concentration well above the range of reference, does not result
in significant signal in the tissues which are most sensitive to
acute effects of T3, and are immediately exposed to the peak in
T3 concentration. Physiology Parameters P-values presented in this table indicate
the significance of the TOST procedure, p-values < 0.05 indicate that null hypothesis that a fixed effect does not fall in the region of [LB, UB] are rejected, and we thus accept the alternative
hypothesis that the fixed effect is zero. P-values that are less than 1e-4 are recorded as 0 in the table. TABLE 6 | Equivalence tests (TOST procedure) of the estimated effect sizes in Table 4. EE
Heart Rate
Cardiac Output
Stroke Volume
Systemic Vascular Resistance
LB=-0.1
UB=0.1
LB=-5
UB =5
LB= -1
UB=1
LB=-10
UB=10
LB= -500
UB=500
Dose [LT3]
0.004
0.003
0.000
0.004
0.002
0.011
0.038
0.018
0.023
0.002
Dose [LT4]
0.004
0.002
0.000
0.005
0.003
0.005
0.074
0.008
0.009
0.004
Time
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
Time2
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
Dose [LT3] * Time
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
Dose [LT4] * Time
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
Dose [LT3] * Time2
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
Dose [LT4] * Time2
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
LB, lower bound; UB, upper bound. Two one-sided t-tests were conducted for each estimated fixed effects of the models presented in Table 4. P-values presented in this table indicate
the significance of the TOST procedure, p-values < 0.05 indicate that null hypothesis that a fixed effect does not fall in the region of [LB, UB] are rejected, and we thus accept the alternative
hypothesis that the fixed effect is zero. LB, lower bound; UB, upper bound. Two one-sided t-tests were conducted for each estimated fixed effects of the models presented in Table 4. P-values presented in this table indicate
the significance of the TOST procedure, p-values < 0.05 indicate that null hypothesis that a fixed effect does not fall in the region of [LB, UB] are rejected, and we thus accept the alternative
hypothesis that the fixed effect is zero. TABLE 7 | Equivalence tests (TOST procedure) of the estimated effect sizes in Table 5. Physiology Parameters These findings appear to negate clinical
relevance to the rapid effects of T3 which have been observed
in vitro. The clinical implications are intriguing, since one could Strengths of our study reside in the rigorous study design, use
of liquid formulation of the drug which allowed for a precise,
weight-based dosing, and the use of state-of-the-art techniques
to assess the cardiovascular system and energy metabolism. The
continuous recording of BP, endothelial vascular function and TABLE 6 | Equivalence tests (TOST procedure) of the estimated effect sizes in Table 4. EE
Heart Rate
Cardiac Output
Stroke Volume
Systemic Vascular Resistance
LB=-0.1
UB=0.1
LB=-5
UB =5
LB= -1
UB=1
LB=-10
UB=10
LB= -500
UB=500
Dose [LT3]
0.004
0.003
0.000
0.004
0.002
0.011
0.038
0.018
0.023
0.002
Dose [LT4]
0.004
0.002
0.000
0.005
0.003
0.005
0.074
0.008
0.009
0.004
Time
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
Time2
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
Dose [LT3] * Time
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
Dose [LT4] * Time
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
Dose [LT3] * Time2
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
Dose [LT4] * Time2
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
LB, lower bound; UB, upper bound. Two one-sided t-tests were conducted for each estimated fixed effects of the models presented in Table 4. P-values presented in this table indicate
the significance of the TOST procedure, p-values < 0.05 indicate that null hypothesis that a fixed effect does not fall in the region of [LB, UB] are rejected, and we thus accept the alternative
hypothesis that the fixed effect is zero. TABLE 7 | Equivalence tests (TOST procedure) of the estimated effect sizes in Table 5. Predictors
LVEF
E
E/e
TAPSE
LB=-5
UB=5
LB=-2
UB=2
LB=-1
UB=1
LB= -0.5
UB= 0.5
Dose [LT3]
0.000
0.034
0.003
0.000
0.000
0.002
0.000
0.000
Dose [LT4]
0.001
0.004
0.000
0.004
0.000
0.001
0.000
0.000
Post-study
0.003
0.001
0.000
0.002
0.000
0.001
0.000
0.000
Dose [LT3] * Post
0.011
0.028
0.011
0.010
0.014
0.003
0.002
0.000
Dose [LT4] * Post
0.008
0.045
0.010
0.016
0.012
0.004
0.000
0.000
LB, lower bound; UB, upper bound. Two one-sided t-tests were conducted for each estimated fixed effects of the models presented in Table 5. AUTHOR CONTRIBUTIONS The relatively small sample size, non-unusual in phase I-II
studies, represents a limitation. However, the absence of trends
in the physiological variables indicates that it is extremely
unlikely our negative findings are due to type-2 error. Some
volunteers had a short, 48-hour interval between the studies
raising the potential concern for carryover effects. Given the lack
of measurable effects and intraindividual differences of baseline
(before administration of the study drugs) data, we do not believe
that this is a cofounding factor. By design, the observation was
limited to a timeframe where maximum variation in serum T3
concentrations can be observed, therefore late events would not
be captured. Lastly, the translational value of observation
obtained in healthy individuals to patients affected by
hypothyroidism, in particular elderly and with co-morbidities
is unknown, and we cannot rule out the possibility that acute
effects may occur in patients with lower serum T3 levels. SCh contributed to the study design, analyzed energy expenditure
data, performed statistical analysis and contributed to the
interpretation, and contributed to the initial draft and final
writing of the manuscript. GFW performed pharmacokinetics
analysis and contributed to the writing of the manuscript. AV
recorded and analyzed echocardiography data. SCa recorded and
analyzed hemodynamics data. SY contributed to the study design,
clinical assessment of study patients, and contributed to the editing
of the manuscript. BVT contributed to the study design and
interpretation of the pharmacokinetics data. AA contributed to
the study design and interpretation of the echocardiography data. FSC designed the study, supervised the analysis and interpretation
of the data, and wrote and edited the manuscript. All authors
contributed to the article and approved the submitted version. In conclusion, in healthy individuals a single administration
of LT3, able to rapidly increase the serum T3 concentration
above normal range does not result in measurable changes in
target organ-systems attributable to the rapid thyroid hormone
action. The data support the rationale to explore the use of LT3
in single dose aiming to achieve sustained increase in tissue
concentrations of T3, reducing the concern for fluctuations in
serum concentrations. On the other hand, patients who have
longstanding significant hypothyroidism may experience
paradoxical response, and T3-based therapy should be started
after achieving a euthyroid state by LT4, and residual symptoms
are still present. 6. Broch O, Renner J, Gruenewald M, Meybohm P, Schottler J, Caliebe A, et al. A
Comparison of the Nexfin(R) and Transcardiopulmonary Thermodilution to
Estimate Cardiac Output During Coronary Artery Surgery. Anaesthesia
(2012) 67(4):377–83. doi: 10.1111/j.1365-2044.2011.07018.x 4. Trankle C, Canada JM, Buckley L, Carbone S, Dixon D, Arena R, et al.
Impaired Myocardial Relaxation With Exercise Determines Peak Aerobic
Exercise Capacity in Heart Failure With Preserved Ejection Fraction. ESC
Heart Fail (2017) 4(3):351–5. doi: 10.1002/ehf2.12147 ACKNOWLEDGMENTS This work was in part supported by CTSA award No. UL1TR002649 from the National Center for Advancing
Translational Sciences. The authors gratefully acknowledge the
help and support of Joyce Ruddley, RN, the Clinical Research
Service Unit and Investigational Pharmacy of VCU Health. Liquid formulations of LT3, LT4, and placebo were a kind gift
of IBSA Institut Biochimique Lugano (Switzerland). IBSA was
not part of the study design and had no access to the data prior to
the publication. 5. Aroditis K, Pikilidou M, Vourvouri E, Hadjistavri L, Zebekakis P, Yovos J,
et al. Changes in Cardiac Function and Structure in Newly Diagnosed Graves'
Disease. A Conventional and 2D-Speckle Tracking Echocardiography
Study. Int J Cardiovasc Imaging (2017) 33(2):187–95. doi: 10.1007/s10554-
016-0984-z FUNDING SCa is supported by a Career Development Award 19CDA34660318
from the American Heart Association and by the Clinical and
Translational Science Awards Program UL1TR002649 from
National Institutes of Health to Virginia Commonwealth
University. FSC is supported by the NIH-NIDDK grant 1 R21
DK122310-01A1. DATA AVAILABILITY STATEMENT The raw data supporting the conclusions of this article will be
made available by the authors, without undue reservation. Physiology Parameters Predictors
LVEF
E
E/e
TAPSE
LB=-5
UB=5
LB=-2
UB=2
LB=-1
UB=1
LB= -0.5
UB= 0.5
Dose [LT3]
0.000
0.034
0.003
0.000
0.000
0.002
0.000
0.000
Dose [LT4]
0.001
0.004
0.000
0.004
0.000
0.001
0.000
0.000
Post-study
0.003
0.001
0.000
0.002
0.000
0.001
0.000
0.000
Dose [LT3] * Post
0.011
0.028
0.011
0.010
0.014
0.003
0.002
0.000
Dose [LT4] * Post
0.008
0.045
0.010
0.016
0.012
0.004
0.000
0.000
LB, lower bound; UB, upper bound. Two one-sided t-tests were conducted for each estimated fixed effects of the models presented in Table 5. P-values presented in this table indicate
the significance of the TOST procedure, p-values < 0.05 indicate that null hypothesis that a fixed effect does not fall in the region of [LB, UB] are rejected, and we thus accept the alternative
hypothesis that the fixed effect is zero. P-values that are less than 1e-4 are recorded as 0 in the table. TABLE 7 | Equivalence tests (TOST procedure) of the estimated effect sizes in Table 5. LB, lower bound; UB, upper bound. Two one-sided t-tests were conducted for each estimated fixed effects of the models presented in Table 5. P-values presented in this table indicate
the significance of the TOST procedure, p-values < 0.05 indicate that null hypothesis that a fixed effect does not fall in the region of [LB, UB] are rejected, and we thus accept the alternative
hypothesis that the fixed effect is zero. P-values that are less than 1e-4 are recorded as 0 in the table. February 2022 | Volume 13 | Article 843539 Frontiers in Endocrinology | www.frontiersin.org 8 Chen et al. Acute Effects of Liothyronine ETHICS STATEMENT EE allowed us to measure even subtle changes which would not
be captured by single timepoint observations. Finally, we
included a treatment arm of LT4 to assess for potential non
ligand-specific acute effects of thyroid hormone. To the best of
our knowledge, no study has investigated the rapid effects of
thyroid hormone in such details. The studies involving human participants were reviewed and
approved by VCU IRB. The patients/participants provided their
written informed consent to participate in this study. AUTHOR CONTRIBUTIONS Long-term studies in patients affected by
hypothyroidism are necessary to assess the safety and
effectiveness of single dose LT3 or LT3/LT4 combination
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jc.2004-1672 Author Disclaimer: Its contents are solely the responsibility of the authors and do
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Translational Sciences or the National Institutes of Health. 14. Panicker V, Saravanan P, Vaidya B, Evans J, Hattersley AT, Frayling TM, et al. REFERENCES Common Variation in the DIO2 Gene Predicts Baseline Psychological Well-
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(5):1623–9. doi: 10.1210/jc.2008-1301 Conflict of Interest: The Division of Endocrinology, Diabetes and Metabolism of
Virginia Commonwealth University has received an unrestricted grant from IBSA
Institut Biochimique, Lugano Switzerland. Liquid formulations of LT3, LT4, and
placebo were a kind gift of IBSA Institut Biochimique Lugano (Switzerland). IBSA
was not part of the study design and had no access to the data prior to the
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BJ20090643 February 2022 | Volume 13 | Article 843539 Frontiers in Endocrinology | www.frontiersin.org 10
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Information and communication technologies and quality of life in home confinement: Development and validation of the TICO scale
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Jose´ Antonio Garcı´a del Castillo-Rodrı´guez1☯, Irene Ramos-Soler2☯, Carmen Lo´pez-
Sa´nchez2☯, Carmen Quiles-SolerID2☯* Jose´ Antonio Garcı´a del Castillo-Rodrı´guez1☯, Irene Ramos-Soler2☯, Carmen Lo´pez-
Sa´nchez2☯, Carmen Quiles-SolerID2☯* 1 Department of Health Psychology, Miguel Herna´ndez University, Elche, Alicante, España, 2 Department of
Communication and Social Psychology, University of Alicante, San Vicente del Raspeig, Alicante, España ☯These authors contributed equally to this work. * mc.quiles@ua.es OPEN ACCESS Citation: Garcı´a del Castillo-Rodrı´guez JA, Ramos-
Soler I, Lo´pez-Sa´nchez C, Quiles-Soler C (2020)
Information and communication technologies and
quality of life in home confinement: Development
and validation of the TICO scale. PLoS ONE 15(11):
e0241948. https://doi.org/10.1371/journal. pone.0241948 Editor: Fre´de´ric Denis, Centre Hospitalier Regional
Universitaire de Tours, FRANCE Editor: Fre´de´ric Denis, Centre Hospitalier Regional
Universitaire de Tours, FRANCE Published: November 5, 2020 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.pone.0241948 Abstract The mandatory home confinement of the Spanish population, implemented in response to
the COVID-19 pandemic, presents a unique opportunity to study the use and influence of
Information and Communication Technologies (ICT) in people’s perception of quality of life
during this exceptional situation. This article adapts and validates a psychometric scale
designed to identify and measure the main dimensions of the Quality of Life construct per-
ceived through ICT use. To this end, an exploratory and transversal study has been carried
out in Spain on a sample of 2,346 participants. Data processing has been carried out with
SPSS and EQS. The results provide evidence of the reliability and psychometric quality on
the scale, which exhibits adequate consistency that facilitates its application. The confirma-
tory factor analysis showed a hierarchical model of three correlated factors that account for
the dimensions “Satisfaction with life”, “Emotional support” and “Social support”, which have
enough correlation to measure the personal perception of quality of life associated with ICT
use and are consistent with previous psychometric studies. The results of the TICO scale
indicate that more than 70% of the sample feel ICT have united their family during home
confinement and more than 45% experience happy feelings when they use ICT. In home
confinement, ICT use has improved users’ quality of life, mainly their satisfaction with life
and social and family support. PLOS ONE PLOS ONE a1111111111
a1111111111
a1111111111
a1111111111
a1111111111 RESEARCH ARTICLE Introduction The world is facing an unprecedented crisis in human history. Previous epidemics and pan-
demics, such as the 1918 influenza pandemic (also known as the Spanish flu), the HIV/AIDS
pandemic of 1981, the SARS pandemic of 2002, the H1N1 influenza pandemic of 2010, the
Ebola outbreak of 2014, among many others, do not measure up to the COVID-19 pandemic
in terms of their impact on interpersonal relationships and, of course, on the use of ICT to mit-
igate their effects. Copyright: © 2020 Garcı´a del Castillo-Rodrı´guez
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. 1 / 14 PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 PLOS ONE Quality of life scale and confinement Data Availability Statement: The data for this
manuscript are stored on: http://hdl.handle.net/
10045/109886. Funding: The authors received no specific funding
for this work. Competing interests: The authors have declared
that no competing interests exist. As Piña-Ferrer [1] points out, at this time of great global social uncertainty, the only vaccine
could be fact-checked, truthful and scientific “information”, but the reality is that the flow and,
above all, the speed with which news and information is transmitted today exponentially raises
fear of contagion and death. The perception of risk is directly proportional to the degree of
exposure and to variables related to previous pathologies, age, and lifestyle. According to Casero-Ripolle´s [2], regarding the flow information, the media disseminate a
huge volume of news, many of them fake, that generate discontent and, above all, loss of trust
and credibility among the population. The author concludes that the consequences of this
dynamic are very negative for the democratic system, and, in our opinion, this situation also
destabilizes people’s quality of life. Many countries quickly understood the need to implement responsible policies to try to
prevent the spread of the virus through the simplest system: physical distancing. In this regard,
it is important to note that “social distancing” has never really been the goal [3], since in most
cultures it could be understood as a punishment and not as a measure of protection, given that
ICT allow people to maintain social relations without physical contact. Introduction So far ICT have become an active part in people’s lives, albeit with a series of problems asso-
ciated with them, such as possible addiction, nomophobia, techno-interference, the phantom
phone vibration syndrome, and the fear of missing out (FOMO), among others [4–6]. Research shows us that the use of ICT significantly increases life satisfaction in the elderly
population, generating important feelings of self-sufficiency [7]. Something similar happens
with young people and adults, who use ICT as a tool of social and emotional support and as a
source of social interactions, which improves their psychological well-being [8–10]. In new situations, new action systems are generated. ICT have made a giant leap in this cri-
sis. Many of the actions that have been enhanced, in addition to telecommuting, are psycho-
logical crisis interventions and social support therapies through ICT, as reported by Inchausti,
Macbeth, Hasson-Ohayon, and Dimaggio [11], as well as their new application by people who
had not used them before [12]. In the face of the COVID-19 pandemic, it is necessary to distinguish between two major
types of problems: to keep the population healthy against the virus and to maintain people’s
quality of life. We know that the concept of quality of life is broad, controversial and varies
depending on the context and the perception of each person at a given time. Therefore, it is
dynamic, subjective, and adaptable. According to Schalock and Verdugo [13], there are more than 200 definitions of this con-
struct, but multiple intercultural studies agree on its main dimensions: interpersonal relation
ships, psychological well-being, material well-being, physical well-being, personal
development, social acceptance, self-determination and rights. All these dimensions are
grouped by the authors into three factors: Independence (personal development and self-
determination), social participation (relationships, social acceptance and rights), and well-
being (psychological, physical and material). According to Schalock and Verdugo [13], there are more than 200 definitions of this con-
struct, but multiple intercultural studies agree on its main dimensions: interpersonal relation-
ships, psychological well-being, material well-being, physical well-being, personal development, social acceptance, self-determination and rights. All these dimensions are
grouped by the authors into three factors: Independence (personal development and self-
determination), social participation (relationships, social acceptance and rights), and well-
being (psychological, physical and material). For Brooks et al. PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 Introduction [14], home confinement creates a series of problems that significantly
affect people’s quality of life, including the following: • Fear of contagion and death, for them and their loved ones. • Frustration and boredom, which increases without access to social media. • Perception of information provided by health care officials as deficient. • Stress and anxiety caused by shortage of protective supplies. • Impaired mental health associated with the duration of home confinement. 2 / 14 PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 PLOS ONE Quality of life scale and confinement Another interesting study carried out in Spain, Italy and the United Kingdom [15] high-
lights the impact that home confinement can have on some relevant aspects of quality of life: • More than 40% of the studied population are at risk of developing mental health problems. • More than 40% of the studied population are at risk of developing mental health problems. • More than 65% considers that the information provided by public health officials in the dif-
ferent countries is deficient, and that what the population needs the most to improve their
quality of life is to know specific plans to return to normality. • More than 60% notes that even in this pandemic, health is no more important than the econ-
omy, which indicates that the economic factor is fundamental in quality of life. Considering these observations, it is pertinent to ask whether the use of ICT during home
confinement can change users’ perception of quality of life. Therefore, the main objective of
this work is to adapt and validate a psychometric scale that examines the influence of ICT use
on quality of life during home confinement. According to its initials in Spanish, TICO is the
acronym used to refer to this scale from now on. The initial hypothesis is that ICT use improves the quality of life of the general population
in a state of home confinement. To this end, we will study the influence of ICT on users’ satis-
faction with life in general, with active social participation, with subjective social support, and
the extent to what ICT use can reduce users’ sense of personal and social isolation, improve
family dynamics and increase the psychological well-being of the confined population. Introduction To measure Quality of Life, we consider three variables to be of the utmost importance in
the state of confinement: loneliness and social support, psychological well-being and satisfac-
tion with life. Loneliness is associated with psychological and physical discomfort. During confinement
many people have been alone and the only social link was through technology. We used a
Scale of Solitude validated in adult population that studies family loneliness, marital loneliness
and social loneliness [16], from which those items more representative of the state of loneliness
and social support were adapted to the use of technologies. We also adapted some items from the Ryff Psychological Welfare Scale, validated in Spanish
populations [17]. The adaptation of the items was taken into account according to the funda-
mental variables of psychological well-being: self-acceptance, positive relationships, autonomy,
control of the environment, purpose in life and personal growth, all in relation to the use of
technologies. Finally, from the Life Satisfaction Scale [18, 19] of the original for world population and the
Spanish adaptation of the scale, items were extracted which were adapted to the situation of
confinement and the use of technologies. The scale measures subjective psychological well-
being, so it fits perfectly into our study for the confinement situation. Sample and data collection An exploratory and cross-sectional study has been carried out on a non-probabilistic and
sequential sample (snowball). In this sampling method, which is used in cases when it is diffi-
cult to access or locate the population, data collection ends when the desired quotas are
reached [20]. The process to obtain the sample was as follows: special care was taken to identify the
groups, organizations and people, with whom to maintain initial contact and who could pro-
vide access to a sample that was as heterogeneous as possible according to the characteristics of
the study (geographical scope Spain and all age groups from 18 years onwards). They were
contacted and asked to participate in sharing and assisting in the dissemination of the survey. The web link to the survey was disseminated through • Social networks: Twitter, Facebook and LinkedIn. • By email. • By email. • Through WhatsApp and Telegram groups • An advertising campaign was carried out on Facebook, through the Business Manager plat-
form, segmenting the population by age and geographical area. • An advertising campaign was carried out on Facebook, through the Business Manager plat-
form, segmenting the population by age and geographical area. Data was collected in Spain during the home confinement implemented in response to the
COVID-19 pandemic from March 29 to May 10, 2020, using Google Forms. Consent was
obtained from the University Miguel Herna´ndez of Elche Project Evaluation Board, Registra-
tion 2020.228.E.OIR—Reference DPS.JGR.01.20. In order to improve the response rate, invitations were sent out weekly following the ethical
principles and code of conduct of the American Psychological Association [21], the first page
of the online questionnaire informed participants of the objectives and importance of the
research project, the estimated completion time (between 5 and 6 minutes), and the questions
to answer. They were informed of their right to decline to participate and leave the online
form at any time, also about the confidentiality and anonymization of the data. To participate
and begin completing the form, respondents had to first state their agreement to do so. The final sample obtained from the Spanish territory is 2,346 people, of whom 51.8% are
women and 48.2% are men. Procedure The first step was to select items from the original scales developed by Cardona, Villamil,
Henao and Quintero [16], Dı´az et al. [17], Atienza, Balaguer and Garcı´a-Merita [18], and
Diener, Emmons, Larsen and Griffin [19], for their linguistic and cultural adaptation to the
Spanish social and health context derived of the home confinement implemented in response
to the COVID-19 pandemic, and to ICT use at home. Three experts examined the validity of the scale’s content. The instrument, objectives and
characteristics of the research were presented to the selected experts, who studied and selected
items based on their clarity, importance and relevance. Following the expert validation, 14 3 / 14 PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 PLOS ONE Quality of life scale and confinement items were selected to be answered on a 7-point Likert scale, where 1 was “totally disagree”
and 7 “totally agree”. Items were presented as statements towards which respondents had to
indicate their degree of agreement or disagreement. Finally, the 14-item scale was pilot tested
among a group of 5 men and 5 women to ensure all statements were understandable. All par-
ticipants stated the scale was significant to them. PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 Instrument A purpose-created questionnaire has been designed for this study to collect information. It is
divided into three blocks of information: • Sociodemographic data. • ICT use: type of technological devices used at home to connect to the Internet, media, social
networks or messaging and video calling applications used during home confinement, fre-
quency, and main reason for connection. • ICT use: type of technological devices used at home to connect to the Internet, media, social
networks or messaging and video calling applications used during home confinement, fre-
quency, and main reason for connection. • Scale of quality of life and ICT use during home confinement (TICO) adapted from Car-
dona, Villamil, Henao and Quintero [16], Dı´az et al. [17], Atienza, Balaguer and Garcı´a-Mer-
ita [18] and Diener, Emmons, Larsen and Griffin [19]. Data analysis Data processing and analysis has been carried out with the Statistical Package for the Social
Sciences (SPSS) and the Structural Equation Modeling Software (EQS). Internal consistency
has been measured with Cronbach’s alpha to determine the homogeneity of the scale items. The underlying factor structure study has been identified through exploratory factor analysis
(EFA), followed by principal components analysis with varimax rotation. The Bartlett’s sphe-
ricity test and Kaiser-Meyer-Olkin test have been calculated to determine whether the factorial
model derived from the application of the scale is appropriate. The structure of the TICO scale
has been analyzed with a confirmatory factor analysis using the following goodness of fit indi-
ces: the Satorra-Bentler’s scaled chi-square test (SBχ2) [22], the Comparative fit index (R-CFI;
values equal to or greater than .90 indicate an acceptable model) [23] the standardized root
mean squared residual (SRMR; values less than .08 indicate an acceptable model fit), and the
Root Mean Square Error of Approximation (R-RMSEA; values equal to or smaller than .06
indicate a perfect fit) [24]. Sample and data collection The average age of the sample is 45 years (SD = 13.4), distributed
as follows: 25% are 18 to 34 years old, 40% are 36 to 49 years old, 30% is 50 to 64 years old, and
5% are over 65. More than half of respondents are married or have a common law partner (59.3%), 29.3%
are single, 10.1% are divorced and 1.3% are widowed. The average number of people living
with them during the home confinement is 3 (SD = 1.28). 66% of the sample are working out-
side or at home, while 17.7% are unemployed (in working age), 10.2% are students and 6.1%
are retired. In terms of monthly income level, 37.5% earn from 1,000 to 2,000 euros, 30.9%
earn more than 2,000 euros, 16.1% earn less than 1,000 euros, 9% have no income, and 6.4%
did not answer. 97% of the sample remain in good health, with no symptoms of the coronavirus, 2.1% have
mild symptoms, but have not been tested, and 0.5% claim to have had the disease but PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 4 / 14 PLOS ONE Quality of life scale and confinement experienced mild symptoms. In terms of education level, most respondents hold a bachelor’s
degree (53.6%), 23.4% hold a postgraduate or doctoral degree, 20.8% hold a secondary school
or vocational training degree, while 2.8% only have basic education. experienced mild symptoms. In terms of education level, most respondents hold a bachelor’s
degree (53.6%), 23.4% hold a postgraduate or doctoral degree, 20.8% hold a secondary school
or vocational training degree, while 2.8% only have basic education. PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 Quality of life and ICT use during the COVID-19 confinement. Differences
by age and gender The results of the survey based on the TICO scale (Table 3) show that the majority of respon-
dents value their lives satisfactorily, in most respects, thanks to the use of ICT in home con-
finement (Mo = 5, Me = 5), and consider that ICT use improves the circumstances derived
from the COVI-19 pandemic (Mo = 6, Me = 5). They feel that when they use ICT, they are
more satisfied (Mo = 6, Me = 5) and achieve the things they consider important (Mo = 5,
Me = 5). Most respondents believe that ICT help them fulfill their life goals during the
COVID-19 pandemic (Mo = 5, Me = 5). If they had to live again in a situation of confinement
they would continue to use ICT (Mo = 7, Me = 7), because they allow them to permanently
communicate with other people (Mo = 7, Me = 6), to know that their personal network of con-
tacts cares about them (Mo = 6, Me = 5), and to ask for help from family and/or friends
(Mo = 7, Me = 6). Boredom and loneliness connect with the use of ICT during home confinement as most
respondents say they use ICT when they feel bored (Mo = 7, Me = 5) or lonely (Mo = 5,
Me = 4). In fact, participants state that they manage to maintain an active social and family life
thanks to the use of ICT, which allow them to set up meetings and celebrations with friends
and family (Mo = 7, Me = 5). Results are very heterogeneous regarding the use of ICT for the management of emotions,
such as sadness or feeling loved, during confinement. Most respondents neither disagree nor
agree with the statement “I use ICTs when I feel sad” (Mo = 4, Mo = 4), as shown in Table 3. The results are clearer regarding the use of ICT when respondents “do not feel loved”, as most
of them disagreement with this statement (Mo = 1, Me = 3). An ANOVA (Table 1) was performed to determine whether the results obtained on the
scale were related to the gender and age variables. The results of this analysis show that, in gen-
eral terms, there are no differences. In all cases, the result of the independent scale of these two
factors exceeds the significance level of 0.05. ICT use in home confinement The most widely used ICT during the COVID-19 confinement have been television and the
Internet. The devices used to connect to social networks and the Internet have been smart-
phones (96.4%), personal computers (82%), tablets (43.4%), smart TVs (35%) and video game
consoles (11.3%). However, people do not get online in just one device, but in several devices
that are used interchangeably throughout the day, with an average daily frequency ranging
from 1 to 3 hours. In terms of the use of social networks and instant messaging applications, there is an abso-
lute dominance of WhatsApp among the population, with 99.2%, followed by YouTube (74%)
and Facebook (67%). Instagram (48.4%) and Twitter (31.10%) were relegated to the last posi-
tions. Social media and messaging and video-calling apps have been mainly used to communi-
cate with friends (83.8%) and family (82.3%), for work-related activities (71.2%), to watch
movies or TV series (68.5%), to get the news (66.4%), to study (61.9%) and listen to music 5 / 14 PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 PLOS ONE Quality of life scale and confinement (61.9%). Other recurring reasons for using social media are: reading (44.1%), sports or physical
activities (39.9%), seek motivation or inspiration during the coronavirus crisis (36.4%), search
for cooking recipes (29.3%), play games (19.9%), listen to podcasts (18.7%) and make online
purchases (17.4%). Despite the intense use of the Internet during the COVID-19 confinement, 71% of the par-
ticipants stated that they have not devoted all their free time to the use of ICT. Only 29%
admitted doing so. Importantly, 46.2% consider they have been happy when they have used
ICT, and 72% consider that the use of ICT has brought their family members together during
the COVID-19 pandemic. Quality of life and ICT use during the COVID-19 confinement. Differences
by age and gender However, this does not apply to the items related
to sadness, loneliness, feeling loved and social participation, which do differ according to age
group and, particularly, gender. Internal consistency of the TICO scale Cronbach’s Alpha
Cronbach’s Alpha based on typified elements
N. of elements
.889
.893
14
Source: Authors’ own creation. https://doi.org/10.1371/journal.pone.0241948.t002 Table 1. ANOVA by gender and age. would be slightly higher. However, the consistency is already excellent as it is, so it was decided
to keep these two statements in the scale. The same table shows the corrected homogeneity
coefficient and the item-total correlation. In all cases the resulting values are not zero or nega-
tive, which means all items correlate with the total. would be slightly higher. However, the consistency is already excellent as it is, so it was decided
to keep these two statements in the scale. The same table shows the corrected homogeneity
coefficient and the item-total correlation. In all cases the resulting values are not zero or nega-
tive, which means all items correlate with the total. Table 3. Descriptive statistics and item-total correlation of the TICO scale. Min. Max. Mode
Median
Corrected item-total
correlation
Cronbach’s alpha if item is
deleted
1. In most respects, ICT make my life in confinement satisfactory. 1
7
5
5
.616
.879
2. Life in confinement has improved thanks to ICT. 1
7
6
5
.603
.880
3. I am more satisfied with my life in confinement when I use ICT. 1
7
6
5
.660
.877
4. ICT help me get “important” things done in confinement. 1
7
5
5
.593
.880
5. If I had to live in confinement again, I would continue using
ICT. 1
7
7
7
.577
.882
6. Thanks to ICT, I always have someone to talk to. 1
7
7
6
.600
.880
7. Thanks to ICT, I feel people care about me. 1
7
6
5
.628
.879
8. Thanks to ICT, I can ask for help from family and friends. 1
7
7
6
.613
.880
9. Whenever I feel sad, I use ICT. 1
7
4
4
.632
.878
10. Whenever I feel lonely, I use ICT. 1
7
5
4
.653
.877
11.Whenever I do not feel loved. I lean on ICT. 1
7
1
3
.537
.883
12. When I feel bored, I turn to ICT. 1
7
7
5
.595
.880
13. ICT help me settle on meetings and celebrations with friends
and family. 1
7
7
5
.403
.890
14. ICT help me have a clear purpose and direction in life. Internal consistency of the TICO scale The reliability of the TICO scale has been assessed with Cronbach’s alpha, which is a measure
of internal consistency, in which a value of 0.889 (Table 2) is considered excellent [25, 26]. To determine the consistency of the scale more deeply, the Cronbach’s alpha coefficient
was recalculated by incorporating in the descriptive statistics the value it takes when each item
is deleted independently. The objective is to determine whether the alpha goes up or down to
improve its consistency. As Table 3 shows, the value of the coefficient goes down in all cases,
except for the last two items, 13 and 14, so if any of them were removed, the overall consistency The reliability of the TICO scale has been assessed with Cronbach’s alpha, which is a measure
of internal consistency, in which a value of 0.889 (Table 2) is considered excellent [25, 26]. To determine the consistency of the scale more deeply, the Cronbach’s alpha coefficient
was recalculated by incorporating in the descriptive statistics the value it takes when each item
is deleted independently. The objective is to determine whether the alpha goes up or down to The reliability of the TICO scale has been assessed with Cronbach’s alpha, which is a measure
of internal consistency, in which a value of 0.889 (Table 2) is considered excellent [25, 26]. To determine the consistency of the scale more deeply, the Cronbach’s alpha coefficient
was recalculated by incorporating in the descriptive statistics the value it takes when each item
is deleted independently. The objective is to determine whether the alpha goes up or down to
improve its consistency. As Table 3 shows, the value of the coefficient goes down in all cases,
except for the last two items, 13 and 14, so if any of them were removed, the overall consistency PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 6 / 14 PLOS ONE Quality of life scale and confinement Table 1. ANOVA by gender and age. F
Sig. Whenever I feel sad, I use ICT. Sex
62.321
.000
Age
11.645
.000
Whenever I feel lonely, I use ICT. Sex
26.538
.000
Age
6.907
.000
Whenever I do not feel loved, I lean on ICT. Sex
28.493
.000
Age
9.874
.000
I use ICT to settle on meetings, celebrations and parties with my friends and family. Sex
76.161
.000
Age
50.728
.000
Source: Authors’ own creation. https://doi.org/10.1371/journal.pone.0241948.t001
Table 2. Scale reliability. Internal consistency of the TICO scale 1
7
5
5
.334
.892
Source: Authors’ own creation. https://doi.org/10.1371/journal.pone.0241948.t003 Table 3. Descriptive statistics and item-total correlation of the TICO scale. PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 7 / 14 PLOS ONE Quality of life scale and confinement Table 4. KMO and Bartlett tests. KMO measure of sampling adequacy
.903
Bartlett’s sphericity test
Approximate Chi-square
16357.819
Degrees of freedom
91
Significance
.000
Source: Authors’ own creation. https://doi.org/10.1371/journal.pone.0241948.t004 https://doi.org/10.1371/journal.pone.0241948.t005 https://doi.org/10.1371/journal.pone.0241948.t005 Factor extraction method: Principal Components Analysis. Exploratory factor analysis Matrix of component (a)
Matrix of rotated components (a)
Component
Component
Items
1
2
3
1
2
3
1
.701
-.401
.769
2
.689
-.406
.805
3
.736
-.325
.805
4
.676
.730
5
.660
-.435
.721
.324
6
.683
.475
.768
7
.703
.418
.732
8
.689
.486
.781
9
.684
.572
.865
10
.703
.565
.866
11
.593
.575
.852
12
.657
.580
.352
13
.472
.323
.527
14
.400
.397
Extraction method: Analysis of main
components. A 3 extracted components
Extraction method: Analysis of main
components. Rotation method: Varimax with
Kaiser normalization. A Rotation has
converged on 5 iterations. Source: Authors’ own creation. https://doi.org/10.1371/journal.pone.0241948.t006 Table 6. Matrix of components, without rotation and with Varimax rotation. Matrix of component (a)
Matrix of rotated components (a)
Component
Component
Items
1
2
3
1
2
3
1
.701
-.401
.769
2
.689
-.406
.805
3
.736
-.325
.805
4
.676
.730
5
.660
-.435
.721
.324
6
.683
.475
.768
7
.703
.418
.732
8
.689
.486
.781
9
.684
.572
.865
10
.703
.565
.866
11
.593
.575
.852
12
.657
.580
.352
13
.472
.323
.527
14
.400
.397
Extraction method: Analysis of main
components. A 3 extracted components
Extraction method: Analysis of main
components. Rotation method: Varimax with
Kaiser normalization. A Rotation has
converged on 5 iterations. Source: Authors’ own creation. https://doi.org/10.1371/journal.pone.0241948.t006 Table 6. Matrix of components, without rotation and with Varimax rotation. https://doi.org/10.1371/journal.pone.0241948.t006 The comparison, in the matrix of rotated components, of the relative saturations of each
item in each of the factors shows that the first factor consists of items 1, 2, 3, 4, 5 and 14,
which seem to reflect the dimension “Satisfaction with life”. The second factor includes the
variables 9, 10, 11 and 12, which could represent the “Emotional support” dimension. Finally,
the third component consists of items 6, 7, 8 and 13, which tell us about the “Social Support”
dimension. Exploratory factor analysis A factor analysis has been carried out to explore the validity of the construct quality of life and
ICT use during confinement. The objective was to study its latent structure, identifying com-
mon factors and main components, and thus identify the different dimensions that could con-
stitute and represent the concept appropriately. The Kaiser-Meyer-Olkin (KMO) test and the Bartlett’s sphericity test have been performed
to evaluate whether the factorial model (or the extraction of factors), as a whole, is significant
(see Table 4). The KMO index yielded a value greater than 0.9, which indicates the correlation
between variables is strong and that the test is very good. Bartlett’s test yielded a significance
(p-value) of <0.05, so the model is significant and factor analysis can be applied. For the selection of the number of components, we explored the eigenvalues obtained in
Table 5 and the percentage of variance explained. As we can see, the first three components
have variances (eigenvalues) greater than 1 so, following Kaiser’s rule, they are the ones to be
selected. In addition, these components or factors explain almost 64% of the variance of the
original variables. The matrix of the unrotated factor structure (Table 6) indicates that all
items have their highest weights in the first component, with values greater than .40 in all
cases, which is the one that explains the most variance. Together with the Cronbach’s alpha
coefficient, this is a good indicator of the reliability and validity of the scale. Table 5. Total variance explained. Table 5. Total variance explained. Table 5. Total variance explained. Component
Initial eigenvalues
Rotation sums of squared saturations
Total
% of variance
Cumulative %
Total
% of variance
Cumulative %
1
5.963
42.592
42.592
3.467
24.761
24.761
2
1.798
12.843
55.435
2.880
20.570
45.331
3
1.115
7.962
63.397
2.529
18.066
63.397
4
.865
6.180
69.577
5
.783
5.593
75.170
6
.644
4.597
79.766
7
.483
3.453
83.220
8
.443
3.164
86.384
9
.395
2.821
89.205
10
.378
2.701
91.906
11
.354
2.530
94.436
12
.320
2.284
96.720
13
.293
2.092
98.812
14
.166
1.188
100.000 PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 8 / 14 PLOS ONE Quality of life scale and confinement Table 6. Matrix of components, without rotation and with Varimax rotation. Confirmatory factor analysis shown in Tables 7–9, the model of three correlated factors has a good fit, within all the appro-
priate intervals, which does not occur with the one-factor model. shown in Tables 7–9, the model of three correlated factors has a good fit, within all the appro-
priate intervals, which does not occur with the one-factor model. Confirmatory factor analysis Based on the exploratory factor analysis, we propose a model structured around three corre-
lated factors: Satisfaction with Life (6 items), Emotional Support (4 items) and Social Support
(4 items). To confirm this model, a confirmatory factor analysis has been performed to com-
pare it with an alternative one-dimensional model, in which all items are organized under a
single factor. The goodness of fit (Table 7) has been assessed with the comparative fit index
(R-CFI), the Satorra-Bentler’s scaled Chi square index (SBχ2), the standardized root mean
square residual (SRMR), and the Root mean square error of approximation (R-RMSEA). As Table 7. Goodness-of-fit indices for models. Models
χ2
SBχ2
df
R-CFI
R-RMSEA (90% CI)
SRMR
1 Factor
5550.40
4316.13
77
.664
.153 (.143-.157)
.103
3 Correlated factors
883.84
697.83
74
.939
.060 (.056-.064)
.050
Source: Authors’ own creation. https://doi.org/10.1371/journal.pone.0241948.t007
PLOS ONE | https://doi org/10 1371/journal pone 0241948
November 5 2020
9 / 14 Table 7. Goodness-of-fit indices for models. Models
χ2
SBχ2
df
R-CFI
R-RMSEA (90% CI)
SRMR
1 Factor
5550.40
4316.13
77
.664
.153 (.143-.157)
.103
3 Correlated factors
883.84
697.83
74
.939
.060 (.056-.064)
.050
Source: Authors’ own creation. https://doi org/10 1371/journal pone 0241948 t007 Table 7. Goodness-of-fit indices for models. PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 9 / 14 PLOS ONE Quality of life scale and confinement shown in Tables 7–9, the model of three correlated factors has a good fit, within all the appro-
Table 9. Factor correlations. Factor
F1
F2
F1
F2
.467
F3
.666
.587
All correlations are significant at the p < .01 level. Source: Authors’ own creation. https://doi.org/10.1371/journal.pone.0241948.t009
Table 8. Factor loadings for the three-factor model. Items
Factor loadings
SV1
.775
SV2
.790
SV3
.811
SV4
.712
SV5
.707
BP6
.364
AP4
.893
AP5
.918
AP6
.753
AP7
.624
AP1
.762
AP2
.788
AP3
.773
PS1
.441
All correlations are significant at the p < .01 level. Source: Authors’ own creation. https://doi.org/10.1371/journal.pone.0241948.t008 Table 8. Factor loadings for the three-factor model. All correlations are significant at the p < .01 level. shown in Tables 7–9, the model of three correlated factors has a good fit, within all the appro-
priate intervals, which does not occur with the one-factor model. shown in Tables 7–9, the model of three correlated factors has a good fit, within all the appro-
priate intervals, which does not occur with the one-factor model. PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 Conclusions This article contributes to the understanding of the influence of ICT on users’ behaviors and
personal perception of quality of life during such an exceptional and extreme situation as the
home confinement implemented in response to the COVID-19 pandemic. Therefore, it offers
a new approach to the quality of life construct in a previously unexplored area. The main objective of this work was to analyze whether the TICO scale of Quality of Life
and ICT use in confinement is a valid and reliable instrument to apply in the Spanish socio-
cultural context. The results allow us to conclude that there is evidence of the psychometric
quality of the scale. The estimated homogeneity analysis based on the item-total correlation
coefficient confirmed its adequate levels in terms of the contribution of each item to the mea-
surement of the construct. The evidence for the reliability of the TICO scale shows adequate
consistency that facilitates its application. On the other hand, the three factors examined in the instrument account for the following
dimensions: “Satisfaction with life”, “Emotional support” and “Social support”. These dimen-
sions present a sufficient correlation level to measure the personal perception of quality of life PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 10 / 14 PLOS ONE Quality of life scale and confinement associated with ICT use, as proposed in our theoretical model based on the exploratory factor
analysis. This proposal is also consistent with the previous psychometric studies used as a start-
ing point for the creation of this scale [16–19]. Therefore, we confirm the three-factor corre-
lated model of our hypothesis. We are aware that quality of life in relation to ICT use in confinement has increased over
time in many areas. Some of the most significant are the elderly population [27–30], studies
related to diet and nutrition [31, 32], physical activity [33] and education [34, 35] among oth-
ers. Contrary to what could be thought a priori, in a state of confinement, ICT serve as a link
between family members, as confirmed by 72% of the participants of our study. Likewise,
almost 50% consider they are happy when they use ICT. Only 29% admit that they have
invested all their free time in ICT consumption, which suggests that the majority of the popu-
lation has been making a responsible use of ICT in this context of mandatory home
confinement. Conclusions It is striking to note that the highest percentages of ICT use and consumption are related to
social relations, which is what has been lacking the most in this situation, surpassing 80% of
the cases studied. Participants perceive their quality of life is satisfactory thanks to the use of
ICT, to the point that if they had to live a similar situation again, they would resort to ICT
again. In general, people perceive that using ICT has helped them to improve the circum-
stances of their life in confinement, to meet many of their material needs, to stay in touch with
friends and family, to realize other people care about their health, to feel accompanied and
overcome boredom. Regardless of gender or age, the use of technologies during confinement
has a positive influence on the assessment of quality of life. However, when we talk about emo-
tions such as sadness, loneliness or the need to feel "loved", the use of technologies as a
resource, support or personal relief shows a wide range of opinions that respond to age and
gender differences. Moreover, 97% of all participants stated they were in good health, with no COVID-19
symptoms. Therefore, as shown by previous studies [13, 14], physical well-being together with
the social support perceived through ICT, and the satisfaction with life produced by the feeling
of staying safe at home, influences the personal perception of a good quality of life during
home confinement. It can be concluded that ICT use in a state of confinement significantly improves the per-
ception of quality of life, especially in terms of satisfaction with life and perceived emotional
and social support. The study is based on a large sample, representative of all Spanish regions and sociodemo-
graphic groups. However, it is not without limitations because sampling was not random. Thus, results should be considered as an initial approach with a large sample. From the work carried out, the following future lines of research emerge: Study of the per-
ception of Quality of Life in the post-Covid-19 /post confinement era; influence of ICTs on the
modification of behavior and motivational levels; and perception of the time of use of ICTs
and real use of them, differentiating the different social networks by use/consumption, taking
into account age and gender. Supporting information Supporting information
S1 File. (DOC)
S2 File. (DOC) 11 / 14 PLOS ONE | https://doi.org/10.1371/journal.pone.0241948
November 5, 2020 PLOS ONE Quality of life scale and confinement Author Contributions Conceptualization: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Carmen
Lo´pez-Sa´nchez, Carmen Quiles-Soler. Data curation: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Carmen
Lo´pez-Sa´nchez, Carmen Quiles-Soler. Formal analysis: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Carmen
Lo´pez-Sa´nchez, Carmen Quiles-Soler. Investigation: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Carmen
Lo´pez-Sa´nchez, Carmen Quiles-Soler. Methodology: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Carmen
Lo´pez-Sa´nchez, Carmen Quiles-Soler. Project administration: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Car-
men Lo´pez-Sa´nchez, Carmen Quiles-Soler. Resources: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Carmen Lo´pez-
Sa´nchez, Carmen Quiles-Soler. Software: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Carmen Lo´pez-
Sa´nchez, Carmen Quiles-Soler. Supervision: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Carmen Lo´pez-
Sa´nchez, Carmen Quiles-Soler. Validation: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Carmen Lo´pez-
Sa´nchez, Carmen Quiles-Soler. Visualization: Jose´ Antonio Garcı´a del Castillo-Rodrı´guez, Irene Ramos-Soler, Carmen
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