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https://openalex.org/W1480549966
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http://www.zurnalai.vu.lt/problemos/article/download/5290/3448
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Greek, Modern
| null |
Rinktiniai gnominiai fragmentai
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Problemos
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cc-by
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ISSN 1392-1126. PROBLEMOS 2015 87 ISSN 1392-1126. PROBLEMOS 2015 87 IŠ PIRMOSIOS OLIMPINĖS ODĖS (Ol. 1. 28–35) ἦ θαύματα πολλά, καί πού τι καὶ βροτῶν
28b φάτις ὑπὲρ τὸν ἀλαθῆ λόγον
δεδαιδαλμένοι ψεύδεσι ποικίλοις
ἐξαπατῶντι μῦθοι. Βʹ Χάρις δ’, ἅπερ ἅπαντα τεύχει τὰ μείλιχα θνατοῖς,
31 ἐπιφέροισα τιμὰν καὶ ἄπιστον ἐμήσατο πιστόν
ἔμμεναι τὸ πολλάκις·
ἁμέραι δ’ ἐπίλοιποι
μάρτυρες σοφώτατοι. 35 ἔστι δ’ ἀνδρὶ φάμεν ἐοικὸς ἀμφὶ δαι-
μόνων καλά· μείων γὰρ αἰτία. ἦ θαύματα πολλά, καί πού τι καὶ βροτῶν ἦ θαύματα πολλά, καί πού τι καὶ βροτῶν Ir taip daug kas stulbina, bet kur tik marieji
šneka, ten, man regis, margaspalviais
melais išpuošti pasakojimai suvedžioja, Ir taip daug kas stulbina, bet kur tik marieji
šneka, ten, man regis, margaspalviais
melais išpuošti pasakojimai suvedžioja, ἦ θαύματα πολλά, καί πού τι καὶ βροτῶν
28b φάτις ὑπὲρ τὸν ἀλαθῆ λόγον
δεδαιδαλμένοι ψεύδεσι ποικίλοις
ἐξαπατῶντι μῦθοι. Βʹ Χάρις δ’, ἅπερ ἅπαντα τεύχει τὰ μείλιχα θνατοῖς,
31 ἐπιφέροισα τιμὰν καὶ ἄπιστον ἐμήσατο πιστόν
ἔμμεναι τὸ πολλάκις·
ἁμέραι δ’ ἐπίλοιποι
μάρτυρες σοφώτατοι. 35 ἔστι δ’ ἀνδρὶ φάμεν ἐοικὸς ἀμφὶ δαι-
μόνων καλά· μείων γὰρ αἰτία. peržengdami tiesą atitinkantį žodį. peržengdami tiesą atitinkantį žodį. Mat Charitė, kuri sumeistrauja visa, kas miela
mirtingiesiems, atnešdama garbę, net ir tikėti nevertą
dažnukart sumaniai padaro tikėtiną; Βʹ Χάρις δ’, ἅπερ ἅπαντα τεύχει τὰ μείλιχα θνατοῖς, Βʹ Χάρις δ’, ἅπερ ἅπαντα τεύχει τὰ μείλιχα θνατοῖς, 31 ἐπιφέροισα τιμὰν καὶ ἄπιστον ἐμήσατο πιστόν
ἔμμεναι τὸ πολλάκις·
ἁμέραι δ’ ἐπίλοιποι
μάρτυρες σοφώτατοι. ateinančios dienos – išmintingiausi liudytojai. išmintingiausi liudytojai. 35 ἔστι δ’ ἀνδρὶ φάμεν ἐοικὸς ἀμφὶ δαι-
μόνων καλά· μείων γὰρ αἰτία. Tinka juk žmogui apie dievybes gerai kalbėti –
tada menkesnis kaltinimas. IŠ FRAGMENTŲ KORPUSO 175
61
Stob. ecl. 2. 1. 8 (2. 4 Wachsmuth-Henze)
Πίνδαρος παιάνων·
τί ἔλπεαι σοφίαν ἔμμεν, ἃν ὀλίγον τοι
ἀνὴρ ὑπὲρ ἀνδρὸς ἴσχει;
οὐ γὰρ ἔσθ’ ὅπως τὰ θεῶν
βουλεύματ’ ἐρευνάσει βροτέᾳ φρενί·
5
θνατᾶς δ’ ἀπὸ ματρὸς ἔφυ. 108ab Epist. Socr. 1. 7 (p. 610 Hercher = 11. 6 Köhl)
ἀπειθεῖν δὲ αὐτῷ ὀκνῶ, καὶ τὸν Πίνδαρον
ἡγούμενος εἰς τοῦτο εἶναι σοφόν, ὅς φησι·
61
Stob. ecl. 2. 1. 8 (2. 4 Wachsmuth-Henze):
iš Pindaro pajanų:
Negi išmintimi laikai tai, kuo tiek nedaug
vyras vyrą pralenkia? Juk neįmanoma, kad dievų
sumanymus mariuoju protu ištirtų tas,
kurs kilęs iš mirtingos motinos. 108ab Epist. Socr. 1. 7 (p. 610 Hercher = 11. 6 Köhl):
netikėti juo (sc. dievu) nesiryžtu, šiuo klausimu
laikydamas išmintingu ir Pindarą, kuris sako:
(a)
θεοῦ δὲ δείξαντος ἀρχὰν
ἕκαστον ἐν πρᾶγος εὐθεῖα δὴ
κέλευθος ἀρετὰν ἑλεῖν,
τελευταί τε καλλίονες. σχεδὸν γὰρ οὕτω που αὐτῷ ἔχει τὸ ὑπόρχημα. Clem. Alex. strom. 5. 14. 101 (2. 393 Stählin)
ὁ μελοποιὸς δέ·
(b)
θεῷ δὲ δυνατὸν μελαίνας
ἐκ νυκτὸς ἀμίαντον ὄρσαι φάος,
κελαινεφέι δὲ σκότει
καλύψαι σέλας καθαρόν
5
ἁμέρας. (a)
Dievui parodžius
bet kurio reikalo pradžią, kelias
tikrai tiesus sugriebti šaunumą
ir atbaiga esti tauresnė. Mat taip maždaug byloja hiporchema. Clem. Alex. strom. 5. 14. 101 (2. 393 Stählin):
o giesmių kūrėjas [taip sako]:
(b)
O dievui įmanoma iš juodos
nakties nepalytėtą šviesą iškelti
ir juodamigle tamsybe
tyrą dienos spindesį
paslėpti. 61 Stob. ecl. 2. 1. 8 (2. 4 Wachsmuth-Henze)
Πίνδαρος παιάνων·
61
Stob. ecl. 2. 1. 8 (2. 4 Wachsmuth-Henze):
iš Pindaro pajanų: (b) 175 131b Plut. consol. ad Apoll. 35. 120c: 131b Plut. consol. ad Apoll. 35. 120c 5 137
ιππορατει? αθηναιωι
Clem. Alex. strom. 3. 3. 17 (2. 203 Stählin)
Πίνδαρος περὶ τῶν ἐν Ἐλευσῖνι μυστηρίων
λέγων ἐπιφέρει·
ὄλβιος ὅστις ἰδὼν κεῖν’ εἶσ’ ὑπὸ χθόν’·
οἶδε μὲν βίου τελευτάν,
οἶδεν δὲ διόσδοτον ἀρχάν. 137 137
hipokratui atėniečiui (?)
Clem. Alex. strom. 3. 3. 17 (2. 203 Stählin):
kalbėdamas apie Eleusino misterijas, Pindaras
priduria:
Palaimingas tasai, kurs tai išvydęs eina po žeme:
žino gyvenimo atbaigą,
žino ir Dzeuso duotą pradžią. 140d Clem. Alex. strom. 3. 3. 17 (2. 203 Stählin)
Ir giesmių kūrėjas Pindaras, tarytum bakchiško
siautulio apimtas, tiesiai sako:
Kas yra dievas? Visa kas. 159
Dion. Hal. de or. ant. 2 (1. 4. IŠ FRAGMENTŲ KORPUSO 20 Usener-
Radermacher):
mat juk ne tik
geriausias teisiųjų vyrų gelbėtojas – Laikas,
pasak Pindaro, bet ir menų […] ir bet kurio kito rimto
dalyko. 140d Clem. Alex. strom. 3. 3. 17 (2. 203 Stählin)
Πίνδαρός τε ὁ μελοποιὸς οἷον ἐκβακχεύεται, ἄντικρυς
εἰπών·
τί θεός; τὸ πᾶν. 159
Dion. Hal. de or. ant. 2 (1. 4. 20 Usener-
Radermacher)
ἀλλὰ γὰρ οὐ μόνον
ἀνδρῶν δικαίων Χρόνος σωτὴρ ἄριστος
κατὰ Πίνδαρον, ἀλλὰ καὶ τεχνῶν … καὶ παντὸς
ἄλλου σπουδαίου χρήματος. 176 209
Stob. ecl. 2. 1. 21 (2. 7 Wachsmuth-Henze)
Πινδάρου·
τοὺς φυσιολογοῦντας ἔφη Πίνδαρος·
ἀτελῆ σοφίας καρπὸν δρέπ(ειν). 210
Plut. de cohib. ira 8. 457b
χαλεπώτατοι δὲ (κατὰ Πίνδαρον)
ἄγαν φιλοτιμίαν μνώμενοι ἐν πόλεσιν ἄνδρες·
ἱστᾶσιν ἄλγος ἐμφανές. 217
Clem. Alex. paedag. 3. 72. 1 (1. 275 Stählin)
Πίνδαρος·
γλυκύ τι κλεπτόμενον μέλημα Κύπριδος. 209
Stob. ecl. 2. 1. 21 (2. 7 Wachsmuth-Henze)
Pindaro:
gamtos tyrinėtojai, pasak Pindaro,
neprinokusį išminties vaisių raško. 210
Plut. de cohib. ira 8. 457b
o nepakenčiamiausi (pasak Pindaro)
Garbės iš miestų pernelyg trokštą vyrai didžiai
pavojingi: jie sukelia akivaizdų skausmą. 217
Clem. Alex. paedag. 3. 72. 1 (1. 275 Stählin)
Pindaras [sako]:
Nežinia kodėl vagiamas Kipridės numylėtinis
yra saldus. 225
Schol. Pind. Ol. 2. 42e
πρὸ τῶν ἀγαθῶν τοῖς ἀνθρώποις τὰ κακά· ὅπερ
καὶ ἐν ἑτέρῳ (-ροις v.l.) φησίν·
ὁπόταν θεὸς ἀνδρὶ χάρμα πέμψῃ,
πάρος μέλαιναν καρδίαν ἐστυφέλιξεν. 233
Clem. Alex. paedag. 3. 12. 92. 4 (1. 286 Stählin)
(κατὰ Πίνδαρον)
πιστὸν δ’ ἀπίστοις οὐδέν. 225
Schol. Pind. Ol. 2. 42e
prieš gerus dalykus žmonėms nutinka blogi, kaip
ir kitame kūrinyje sako [Pindaras]:
Kai tik dievas vyrui siunčia džiaugsmą,
pirm to smogia juodon širdin. 233
Clem. Alex. paedag. 3. 12. 92. 4 (1. 286 Stählin)
(pasak Pindaro)
Nepatikimiems nėra nieko patikimo. Graikiškas tekstas parengtas pagal:
Pindar, Vol. 1: Olympian Odes, Pythian Odes (Loeb Classical Library 56); Vol. 2: Nemean
Odes, Isthmian Odes, Fragments (Loeb Classical Library 485), edited and translated by
William H. Race, Cambridge, MA, London: Harvard University Press, 1997. Graikiškas tekstas parengtas pagal:
Pindar, Vol. 1: Olympian Odes, Pythian Odes (Loeb Classical Library 56); Vol. 2: Nemean
Odes, Isthmian Odes, Fragments (Loeb Classical Library 485), edited and translated by
William H. Race, Cambridge, MA, London: Harvard University Press, 1997. Iš sen. graikų kalbos vertė filosofinio teksto vertimo seminaro dalyviai:
Vytautas Ališauskas, Viktoras Bachmetjevas, Paulius Garbačiauskas,
Elzė Sigutė Mikalonytė, Jonas Skarulskis, Julita Slipkauskaitė,
Gendvilė Svirskaitė ir Gintarė Vaičiulytė
Mokslinis redaktorius Paulius Garbačiauskas Iš sen. IŠ FRAGMENTŲ KORPUSO graikų kalbos vertė filosofinio teksto vertimo seminaro dalyviai:
Vytautas Ališauskas, Viktoras Bachmetjevas, Paulius Garbačiauskas,
Elzė Sigutė Mikalonytė, Jonas Skarulskis, Julita Slipkauskaitė,
Gendvilė Svirskaitė ir Gintarė Vaičiulytė 177
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https://openalex.org/W2997569865
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https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926351.pdf
|
English
| null |
Practical Automated Video Analytics for Crowd Monitoring and Counting
|
IEEE access
| 2,019
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cc-by
| 8,534
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Received November 6, 2019, accepted December 2, 2019, date of publication December 6, 2019,
date of current version December 27, 2019. Received November 6, 2019, accepted December 2, 2019, date of publication December 6, 2019,
date of current version December 27, 2019. Digital Object Identifier 10.1109/ACCESS.2019.2958255 Digital Object Identifier 10.1109/ACCESS.2019.2958255 KANG HAO CHEONG
1,2, (Member, IEEE), SANDRA POESCHMANN
3, JOEL WEIJIA LAI
1,2,
JIN MING KOH
1, U. RAJENDRA ACHARYA
4, SIMON CHING MAN YU
5,
AND KENNETH JIAN WEI TANG
1 KANG HAO CHEONG
1,2, (Member, IEEE), SANDRA POESCHMANN
3, JOEL WEIJIA LAI
1,2,
JIN MING KOH
1, U. RAJENDRA ACHARYA
4, SIMON CHING MAN YU
5,
AND KENNETH JIAN WEI TANG
1 1Science and Math Cluster, Singapore University of Technology and Design (SUTD), Singapore 487372
2SUTD-MIT International Design Centre, Singapore 487372
3Engineering Cluster, Singapore Institute of Technology, Singapore 138683
4Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489
5Interdisciplinary Division of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong
Corresponding author: Kang Hao Cheong (kanghao_cheong@sutd.edu.sg)
This work was supported by the SUTD-MIT International Design Centre (IDC) under Grant IDG21900101 and G 1Science and Math Cluster, Singapore University of Technology and Design (SUTD), Singapore 487372
2SUTD-MIT International Design Centre, Singapore 487372
3Engineering Cluster, Singapore Institute of Technology, Singapore 138683
4Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489
5Interdisciplinary Division of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong
Corresponding author: Kang Hao Cheong (kanghao_cheong@sutd.edu.sg)
This work was supported by the SUTD MIT International Design Centre (IDC) under Grant IDG21900101 and This work was supported by the SUTD-MIT International Design Centre (IDC) under Grant IDG21900101 and Grant IDIN190 ABSTRACT Video surveillance is gaining popularity in numerous applications, including facility man-
agement, traffic monitoring, crowd analysis, and urban security. Despite the increasing demand for closed-
circuit television (CCTV) and related infrastructure in public spaces, there remains a notable lack of readily-
deployable automated surveillance systems. In this study, we present a low-cost and efficient approach that
integrates the use of computational object recognition to perform fully-automated identification, tracking,
and counting of human traffic on camera video streams. Two software implementations are explored and
the performance of these schemes is compared. Validation against controlled and non-controlled real-world
environments is also demonstrated. The implementation provides automated video analytics for medium
crowd density monitoring and tracking, eliminating labor-intensive tasks traditionally requiring human
operation, with results indicating great reliability in real-life scenarios. INDEX TERMS Crowd monitoring, counting, traffic monitoring, data analytics, background subtraction,
security. his work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/ The associate editor coordinating the review of this manuscript and
approving it for publication was Dongxiao Yu. reative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/
VOLUME 7, 2019 I. INTRODUCTION This stands to yield operational cost reductions and produc-
tivity improvements. Video surveillance is an integral component of modern urban
security, and when coupled with computational analytics, can
have greatly expanded functionality including facial recog-
nition, motion detection, traffic and crowd monitoring, and
automated hazard alarms [1]–[7]. The continued advance-
ment in computational tools and machine learning has in
principle enabled automation of a wide variety of practical
analyses on image and video inputs [8]–[14]; more advanced
machine intelligence systems are also increasingly capable
of fulfilling traditionally human-controlled tasks that require
real-time complex decisions, for instance initiating mitiga-
tion measures for severe traffic congestion or the dispatch-
ing of emergency services [15]–[18]. In general, automated
surveillance eliminates the need for round-the-clock manual
monitoring, thereby reducing manpower requirements [19]. Nonetheless, amidst the progressing state-of-the-art, inte-
gration of automated analytics in commercial video surveil-
lance for crowd monitoring and counting is an area that
can be further explored [19]; and there is at present lim-
ited literature on demonstrated effective low-cost systems
for deployment. In security and management sectors, there
remains a great reliance on traditional manual monitoring
of CCTV footage [20], [21], and human patrols to conduct
crowd monitoring and tracking. Utilizing computer vision
and real-time automated analytics in replacement of manual
labour not only reduces operational costs but also eliminates
human errors and lapses [22]–[24] —we seek to develop a
viable deployment-ready implementation in this study. In this paper, we examine several viable approaches to
automated crowd monitoring and tracking in indoor and
outdoor scenarios, ultimately selecting a statistical back-
ground subtraction (BGS) scheme and a convolutional neural The associate editor coordinating the review of this manuscript and
approving it for publication was Dongxiao Yu. 183252 VOLUME 7, 2019 VOLUME 7, 2019 VOLUME 7, 2019 K. H. Cheong et al.: Practical Automated Video Analytics for Crowd Monitoring and Counting Existing studies have shown excellent performance in the
identification of key markers, such as lane boundaries, traf-
fic signs, and pedestrians on systems intended for driver-
less vehicles [36]–[39] under a wide range of lighting and
driving conditions. CNN-based image recognition has also
been applied very successfully to facial identification tasks
[40]–[44], achieving large reductions in error rate when
compared to non-CNN methods. These types of CNN-based
methods are presently employed for automated user iden-
tification and tagging systems in prominent social media
platforms [45]. network-based single shot detector (SSD). III. METHODOLOGY
h
f
k The software package developed in this study comprises
a video processing back-end encompassing human subject
recognition and tracking, and a front-end graphical interface
for operators. The software implementation is broadly dis-
cussed in Section III-A, with object recognition methods in
Sections III-B1–III-B2, and lastly tracking and counting tech-
niques in Sections III-C–III-D. A block diagram summarizing
the video tracking and counting process is given in Figure 1. I. INTRODUCTION These methods are
easily deployable in the real world. A software solution is
developed for use in general public spaces, and we validate
the performance of the platform through indoor controlled
tests in a shopping mall, and outdoor non-controlled tests
in a public transport hub with considerable human traffic. It is noted that the implementation of this video analytics
system can also be applied to a broader range of scenarios—
for instance, in factories to detect personnel in restricted
places or in dangerous proximity to machinery, or in high-rise
buildings to detect crowd densities that exceed safe thresholds
for timely evacuation in case of emergencies. Time-oriented
data collected from such deployments can also be logged and
transmitted to a dashboard for data-informed planning and
predictive analytics [25]. In general, CNN-based systems are hugely robust to
changing background conditions and object appearances,
but are typically computational expensive to train and run. In comparison to explicit rule-based or statistical methods,
the employed CNN architectures are also more akin to black
boxes and offer limited tractability—troubleshooting and tun-
ing the systems for specific environments can therefore be
challenging. There is also recent evidence attributing the effi-
cacy of neural network deep-learning solutions to fine-tuning
rather than a fundamental architectural advantage, suggesting
that a properly tuned classical method may be able to achieve
similar performance in certain scenarios [46]–[50]. The structure of the paper is as follows—a technical review
is first provided (Section II), followed by a discussion on
the methodology employed and the development of the soft-
ware solution (Section III), and finally validation test results
(Section IV) and concluding remarks (Section V). II. TECHNICAL REVIEW II. TECHNICAL REVIEW We first provide an overview of object recognition frame-
works, the challenges associated with achieving satisfactory
performance, and the application of these frameworks in auto-
mated video analytics. A fundamental operational require-
ment of automated video surveillance analytics is the ability
to identify and track different objects within the recorded
footage, hence the need for object recognition; in the current
context of crowd analysis, recognition of human subjects is
critically relevant. Indeed, non-CNN methods have been deployed to perform
similar tasks. A real-time system for pedestrian tracking using
gray-scale images from stationary cameras has been demon-
strated [51], with satisfactory robustness to visual occlu-
sions and ambiguities in perceived subject shape profiles. The implementation relied on Gaussian-mixture foreground
masking followed by contour detection through a princi-
ple component analysis (PCA) model. Numerous studies on
pedestrian and traffic tracking, motion detection and analy-
sis, and object classification using non-CNN methods have
also been presented to date [30], [52]–[55], suggesting good
viability in these approaches. Non-CNN methods may hence
be preferred in some scenarios. While visual recognition and classification of objects is
intuitive to human perception, robust computational imple-
mentation is challenging [26]. Varying exposure to outdoor
conditions, changing illumination levels and direction, inter-
mittent and sustained visual obstruction, and unpredictable
movement of tracked subjects must all be overcome for
reliable operation of recognition systems, oftentimes with
limitations on available computational power [27]–[30]. The
resolution and clarity of available video footage is also typ-
ically non-ideal, limiting the effectiveness of pre-processing
techniques aimed at compensating for variance in image con-
ditions. In our context of recognition and tracking of human
subjects, additional complexities arise from the wide range of
possible dynamical behaviour—for instance, two persons in
physical contact may be detected as a single entity, and the
shape profile of a person may change drastically because of
carried items or differing attire. B. OBJECT RECOGNITION We examine two categories of object recognition methods
in detail—background subtraction and CNN-based image
classifiers. A comparison of the performance between cho-
sen variants of these two methods in controlled and non-
controlled test environments is later presented in Section IV. A. SOFTWARE IMPLEMENTATION Advanced machine vision systems are already being devel-
oped for security- and safety-critical applications, such
as driverless vehicles and autonomous drones [31]–[35]. These systems typically employ convolutional neural net-
work (CNN)-based solutions that are trained on massive
datasets of numerous modalities, including infrared and vis-
ible video input, lidar data, sound pick-ups from micro-
phones, and navigational data from GPS or inertial guidance. Our software package is implemented on Python with the
Open Source Computer Vision (OpenCV) library. OpenCV
supports machine deep-learning frameworks, and provides
image manipulation, object identification, and motion track-
ing tools that are greatly relevant for the development of soft-
ware in our context [56], [57]. Our specific implementation
assumes a pre-existing video surveillance system that writes
to a centralized storage pool, from which footage may be 183253 183253 VOLUME 7, 2019 K. H. Cheong et al.: Practical Automated Video Analytics for Crowd Monitoring and Counting FIGURE 1. Block diagram depicting data flow in the adopted video analytics pipeline. The input undergoes either BGS or
SSD, yielding human personnel identification and count. FIGURE 1. Block diagram depicting data flow in the adopted video analytics pipeline. The input undergoes either BGS o
SSD, yielding human personnel identification and count. pulled in real-time for analysis; as such all functionalities
are developed and tested in a stream-based format. The soft-
ware implementation accommodates video streams of general
frame size and rate, but we use footage of 720p at 30 fps for
illustrative purposes in this paper, unless otherwise stated. can all diminish the ability of the reference frame subtraction
to separate background and foreground elements. A number
of methods to overcome these problems have been utilized
to date. Pre-processing of footage frames to remove glare
and illumination changes can be utilized; major changes in
background and ambient conditions can be detected through
regression against a history of frames, and the background
reference either adjusted or recaptured at opportune times;
a comprehensive set of background references can also be
captured a priori against possible ambient conditions, selec-
tions of which are subtracted from footage frames on a trial
basis until a sufficiently clean output is produced. Movement
patterns of detected objects across numerous frames can
also be used as an additional filter against false positives—
for instance, human subjects must realistically be in con-
tact, or otherwise close proximity, with the ground at all
times. 1) BACKGROUND SUBTRACTION Pilot study results comparing the performance of YOLO and
SSD object recognition schemes, suggesting vastly cheaper computation FIGURE 3. Frame comparison of the MOG, MOG2 and GMG background
subtraction schemes, showing a cleaner result from MOG2. FIGURE 2. Illustration of the functioning of BGS. (a) An empty scene as
the background mask; (b) a scene with human subjects in the foreground;
and (c) the scene after background subtraction, separating the human
subjects. FIGURE 3. Frame comparison of the MOG, MOG2 and GMG background
subtraction schemes, showing a cleaner result from MOG2. FIGURE 2. Illustration of the functioning of BGS. (a) An empty scene as
the background mask; (b) a scene with human subjects in the foreground;
and (c) the scene after background subtraction, separating the human
subjects. FIGURE 4. Pilot study results comparing the performance of YOLO and
SSD object recognition schemes, suggesting vastly cheaper computation
using SSD. a background model, which is then used for backgound
subtraction. BGS is not completely successful due to background fluc-
tuations, and differentiation between human and non-human
subjects may not be ideal. We note that GMG is limited in suitability for outdoor
scenes with constant motion of objects, as there is often
no dedicated time periods available for background capture. Deploying GMG in the intended use case of automated
crowd analysis in busy public spaces is therefore not viable. On the other hand, there is evidence in existing literature that
MOG2 provides good results in practice [64], [65], and is
also sufficiently computationally cheap to deploy in large-
scale video analysis applications. Our own pilot programme
also suggests that MOG2 consistently produces better human
subject identification and segmentation results than MOG and
GMG in indoor use cases (example in Figure 3). We therefore
employ MOG2 in our BGS-based implementation. 1) BACKGROUND SUBTRACTION A widely used method for detecting moving objects from
a stationary camera placement is background subtraction
(BGS) [58]. In general, the operation of such a method relies
on a known background frame with no present objects. This
background reference is then subtracted from each frame
of the video footage, or subset of frames to reduce com-
putational cost, therefore yielding frames containing only
foreground objects. Appropriate contour detection or region
segmentation models can then be applied to isolate distinct
objects in these frames. An example illustrating the operation
of BGS is presented in Figure 2. BGS-based methods are
presently applied in commercial video surveillance systems
for malls and public spaces. An early variant of a BGS-based object recognition frame-
work is the Mixture of Gaussians (MOG) method introduced
in 2001, utilizing a Gaussian mixture background/foreground
segmentation algorithm [59], [60]. An improved version,
named MOG2, was later presented, with a significant
improvement being an automatic selection scheme for the
number of Gaussian kernels used for each pixel, in place
of the constant number of distribution kernels in the orig-
inal MOG [61], [62]. As a result, MOG2 provides better
adaptability to changing illumination conditions in scenes. A more recent algorithm is the GMG [63], named after its
founders, which combines statistical background image esti-
mation and per-pixel Bayesian segmentation. GMG uses the
first few hundred frames of the input footage to construct Simplistic implementations of BGS typically suffer from
limited reliability, due mostly to changing background condi-
tions. In an outdoor environment, volatile weather, illumina-
tion changes, and reflections from surfaces on moving objects 183254 183254 VOLUME 7, 2019 VOLUME 7, 2019 K. H. Cheong et al.: Practical Automated Video Analytics for Crowd Monitoring and Counting FIGURE 3. Frame comparison of the MOG, MOG2 and GMG background
subtraction schemes, showing a cleaner result from MOG2. FIGURE 4. Pilot study results comparing the performance of YOLO and
SSD object recognition schemes, suggesting vastly cheaper computation
using SSD. FIGURE 2. Illustration of the functioning of BGS. (a) An empty scene as
the background mask; (b) a scene with human subjects in the foreground;
and (c) the scene after background subtraction, separating the human
subjects. FIGURE 3. Frame comparison of the MOG, MOG2 and GMG background
subtraction schemes, showing a cleaner result from MOG2. FIGURE 4. C. TEMPORAL TRACKING counts are recorded together with cumulative counts (start-
ing from a specified time, say, the start of each day). This
mode is useful if on-scene subject counts are of interest, for
instance, to monitor the number of people in an enclosed
space, or congestion conditions along corridors and passage-
ways. Alternatively, counting can be set to be portal-wise,
that is, subjects are added to a cumulative count only when
they cross a specified boundary in the captured scene. This
mode is useful to monitor crowd influx or outflux through
key doorways or area perimeters, for instance, in tracking
the boarding of public buses or commuter movement through
security checkpoints. Analyzing incoming video streams frame-wise does not guar-
antee temporal continuity in the identified subjects, and there-
fore cannot immediately support counting functions. In order
to support reliable counting of moving subjects, a temporally-
consistent labelling of subjects must be achieved between
frames, such that distinct objects are not misidentified as
being identical (leading to under-counting), and identical
objects are not misidentified as being distinct (leading to
over-counting). In essence, objects undergoing movement has
to be continuously tracked across all frames in which they
appear. We implement this by comparing the centroids of iden-
tified bounding boxes for each frame against those of the
previous, and labelling pairs as identical on a nearest-distance
basis. Centroids in the previous frame that have no matching
counterpart in the current are deemed to have left the scene,
and centroids in the current frame that have no match in the
previous are deemed as new subjects that have entered. This
is illustrated in Figure 6. To cope with subject occlusions and
intermittent image quality issues, a loss-of-visibility thresh-
old of nlv = 18 frames is set, such that if a subject disappears
from view within the scene and reappears within nlv frames
in a location deemed to be matching by the nearest-distance
scheme, a new subject identification will not be assigned and
the reappeared subject will be considered identical to the
previous. A movement rate threshold can also be set (say,
to the typical human running speed), such that subjects that
move faster than expected between frames are identified as
distinct. In the scene-wise mode, extremal boundaries can be set
by the user on the video scene, only within which count-
ing is active. 2) CONVOLUTIONAL NEURAL NETWORKS We consider CNN-based recognition frameworks You-Only-
Look-Once (YOLO) [66], a state of the art real-time object
detection system shown to be capable of identifying and
classifying objects effectively, and the Single Shot Detector
(SSD) [67], also a highly-established method. Both of these
frameworks run the full incoming frames through a CNN in a
region-wise manner to yield bounding boxes and class proba-
bilities on identified objects. These CNNs are pre-trained on
large imagery datasets. A pilot programme had been carried
out to compare the computational running cost of YOLO and
SSD on preliminary hardware (Figure 4), revealing that SSD
is considerably faster in processing incoming frames, and
is therefore more viable in achieving real-time stream-based
automated video analysis with. We choose SSD as the pre-
ferred CNN-based solution. We utilize MobileNet supported
on the deep neural network (DNN) module of OpenCV for
SSD implementation. MobileNet provides pre-trained CNNs
for image classification, and can robustly handle frames of
different aspect ratios and sizes. A three-step processing pipeline is utilized for incoming
video frames. First, a brightness and colour-correction filter
is applied to adjust for under- or over-exposure, or changing
daylight conditions. Noise reduction is also used to improve
image quality. Next, a background subtraction mask is com-
puted and applied through MOG2. Lastly, contours on the
masked image are identified through contrast segmentation,
to extract the bounding boxes and positions of the human
subjects. This process is computationally cheap, but face
potential limitations—detection accuracy is compromised if 183255 VOLUME 7, 2019 K. H. Cheong et al.: Practical Automated Video Analytics for Crowd Monitoring and Counting FIGURE 6. Illustration of the subject tracking mechanism. (a) Two
subjects are recognized in the scene and labelled with distinct
identification numbers, and the centroids of their bounding boxes are
computed; (b) the subjects have moved in the next frame, and the new
positions are compared against the previous; (c) identifications are made
on a nearest-distance basis; (d) identification numbers are consistently
applied, with a new subject deduced to have entered the scene. Images
adapted from [70]. FIGURE 5. Recognition of a moving human subject through SSD. FIGURE 5. Recognition of a moving human subject through SSD. Specifically, the model utilized in this paper is an imple-
mentation of Google’s MobileNet SSD [68], which was ini-
tially trained on the Common Objects in Context (COCO)
dataset [69]. The model was further refined on PASCAL
VOC0712 [68]. E. DATA PROCESSING It is important to keep the analysis low-cost, as practical
deployment hardware may be limited in speed, especially
when there are multiple video streams sharing compute time. To reduce computational load, the program can be configured
to perform BGS or SSD object identification only every N0
frames; in our implementation, subject tracking and counting
is set to occur every N0 = 6 frames, corresponding to a ∼
200 ms refresh rate. These limits were found to be sufficient
in providing good tracking results for typical pedestrian traf-
fic encountered in our test environments (Section IV), and can 2) CONVOLUTIONAL NEURAL NETWORKS A sample snapshot of the execution of this
implementation on real-world footage is presented in Fig-
ure 5, on which a moving human subject with headwear is
identified with > 99% confidence. FIGURE 6. Illustration of the subject tracking mechanism. (a) Two
subjects are recognized in the scene and labelled with distinct
identification numbers, and the centroids of their bounding boxes are
computed; (b) the subjects have moved in the next frame, and the new
positions are compared against the previous; (c) identifications are made
on a nearest-distance basis; (d) identification numbers are consistently
applied, with a new subject deduced to have entered the scene. Images
adapted from [70]. C. TEMPORAL TRACKING Subject tracking is maintained throughout the
entire scene regardless of boundary settings, however, so that
identical subjects repeatedly crossing the set boundaries will
not be misidentified as distinct instances, so long as they
remain within the scene throughout. In the portal-wise mode,
the user may select from a default preset of 10 regularly
spaced boundary lines, or freely draw a desired boundary. Movement direction filtering can also be set, such that only
subjects moving to the left or right are counted. A. CONTROLLED ENVIRONMENT An indoor area in a shopping mall, in proximity to a lift lobby,
was used as an indoor controlled environment. A number of
subjects, dressed in varying attire, was sent to walk across
the captured space at varying speeds, ranging from a slow
walk typical of the elderly to fast jogs. These subjects are of
mixed genders and of varied heights. The controlled studies
were conducted with steady artificial lighting and primarily
constant environmental parameters; each test lasted a dura-
tion of 150 seconds with both the BGS and SSD methods,
and a manual on-site count was performed simultaneously
to match the results against. Snapshots of the controlled
validation tests are shown in Figure 7, and subject counting
results are presented in Figure 8. These results indicate sat-
isfactory counting accuracy for both BGS and SSD methods,
with BGS notably achieving perfect accuracy in the idealized
single-subject scenario, but is ultimately outperformed by
SSD in more realistic multiple-subject scenarios. The SSD
method yielded a maximum of a single miscount in these
controlled tests, suggesting good deployment viability in the
significantly more demanding non-controlled outdoor envi-
ronments. FIGURE 8. Subject counting results in the controlled environment
comparing BGS and SSD methods, in (a) the constrained case of a single
subject in-scene at any point in time, and (b) with multiple subjects
in-scene simultaneously. The actual counts were obtained through
manual counting by watching the same video footage, matched against
an on-site surveyor for consistency. FIGURE 8. Subject counting results in the controlled environment
comparing BGS and SSD methods, in (a) the constrained case of a single
subject in-scene at any point in time, and (b) with multiple subjects
in-scene simultaneously. The actual counts were obtained through
manual counting by watching the same video footage, matched against
an on-site surveyor for consistency. be adjusted for different hardware capabilities. While such
an approach effectively reduces the imposed computational
load per video stream, the trade-off between practicality and
accuracy stands to be further characterized; an important line
of development for future work is also in studying alternative
approaches that does not impact analysis frame rate. be adjusted for different hardware capabilities. B. NON-CONTROLLED ENVIRONMENT Non-controlled validation tests were performed at a public
transport hub with considerable human traffic. The camera
placements were chosen for the purpose of tracking com-
muter volume boarding public buses at various terminals,
suitable for assessing the ability of the system to cope with
massive crowd surges. The tests were conducted over typ-
ical bus-boarding durations of approximately 20 seconds,
with both BGS and SSD used, and a simultaneous manual
count to match results against. Sample snapshots showing
the recorded environments are presented in Figure 9, and a
comparison of subject counting results is given in Figure 10. It was observed that SSD yields > 92% accuracy (mean
square error), illustrating the robustness of SSD in handling
large crowd densities and volatile outdoor illumination con-
ditions. The obvious failure of BGS in comparison to the con-
trolled tests can be attributed to its inability to handle rapidly Non-controlled validation tests were performed at a public
transport hub with considerable human traffic. The camera
placements were chosen for the purpose of tracking com-
muter volume boarding public buses at various terminals,
suitable for assessing the ability of the system to cope with
massive crowd surges. The tests were conducted over typ-
ical bus-boarding durations of approximately 20 seconds,
with both BGS and SSD used, and a simultaneous manual
count to match results against. Sample snapshots showing
the recorded environments are presented in Figure 9, and a
comparison of subject counting results is given in Figure 10. D. SUBJECT COUNTING The counting of identified subjects can be set to be scene-
wise—subjects are counted the moment they enter the scene
captured by the video camera, and real-time on-scene subject 183256 VOLUME 7, 2019 183256 K. H. Cheong et al.: Practical Automated Video Analytics for Crowd Monitoring and Counting FIGURE 7. Video snapshots of the controlled environment tests, for (a) a constrained case of a single subject in-scene at any
point in time, and (b) multiple subjects in-scene simultaneously. FIGURE 7. Video snapshots of the controlled environment tests, for (a) a constrained case of a single subject in-scene at any
point in time, and (b) multiple subjects in-scene simultaneously. FIGURE 8. Subject counting results in the controlled environment
comparing BGS and SSD methods, in (a) the constrained case of a single
subject in-scene at any point in time, and (b) with multiple subjects
in-scene simultaneously. The actual counts were obtained through
manual counting by watching the same video footage, matched against
an on-site surveyor for consistency. (Section IV-B) for validation. In these validation tests, portal-
wise subject counting mode was utilized. (Section IV-B) for validation. In these validation tests, portal-
wise subject counting mode was utilized. A. CONTROLLED ENVIRONMENT While such
an approach effectively reduces the imposed computational
load per video stream, the trade-off between practicality and
accuracy stands to be further characterized; an important line
of development for future work is also in studying alternative
approaches that does not impact analysis frame rate. F. COMPUTATIONAL RESOURCE Reasonable computational cost is a requisite for viable
deployability in the real-world—a considerably modest
workstation was hence used for testing purposes. The work-
station was a laptop equipped with an Intel I5 8250U quad-
core processor at 1.6 GHz (base), 8 GB of RAM, and an
Intel UHD Graphics 620 graphics processor, running the
Ubuntu (Linux) operating system. On this platform, the SSD
method runs in real-time on the CPU. It was observed that SSD yields > 92% accuracy (mean
square error), illustrating the robustness of SSD in handling
large crowd densities and volatile outdoor illumination con-
ditions. The obvious failure of BGS in comparison to the con-
trolled tests can be attributed to its inability to handle rapidly IV. RESULTS & DISCUSSION IV. RESULTS & DISCUSSION The developed video analysis software was tested in
two types of environments—first a controlled environment
(Section IV-A), and then a non-controlled environment 183257 VOLUME 7, 2019 K. H. Cheong et al.: Practical Automated Video Analytics for Crowd Monitoring and Counting FIGURE 9. Video snapshots of the non-controlled environment tests. (a) Full scene captured by the camera; (b) zoomed snapshot of boarding
queue onto a public bus; and (c) zoomed snapshot of the queue at a later point in time. FIGURE 9. Video snapshots of the non-controlled environment tests. (a) Full scene captured by the camera; (b) zoomed snapshot of boarding
queue onto a public bus; and (c) zoomed snapshot of the queue at a later point in time. FIGURE 9. Video snapshots of the non-controlled environment tests. (a) Full scene captured by the camera; (b)
queue onto a public bus; and (c) zoomed snapshot of the queue at a later point in time. FIGURE 10. Subject counting results in the non-controlled environment,
comparing BGS and SSD methods. The actual counts were obtained
through manual counting by watching the same video footage, matched
against an on-site surveyor for consistency. FIGURE 10. Subject counting results in the non-controlled environment,
comparing BGS and SSD methods. The actual counts were obtained
through manual counting by watching the same video footage, matched
against an on-site surveyor for consistency. FIGURE 11. Separated foreground elements by BGS, corresponding to the
input frame shown in Figure 9(c). The fragmented masking of human
subjects is clearly observed. implementing BGS and SSD methods suitable for deploy-
ment for crowd monitoring in public spaces. Real-world
validation of our solution has been carried out with both
controlled and non-controlled tests, and the results strongly
indicate good accuracy of the SSD system, even in outdoor
conditions. This yields great confidence in expanding the
deployment of the developed system into other venues. Our proposed automated video analytics for crowd mon-
itoring and tracking will enable significant manpower sav-
ings, especially in key security-sensitive installations such as
public transport facilities and protected areas, where CCTV
monitoring is oftentimes performed by human operators. Data collection of crowd density and movement can be
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rently a Senior Faculty Member with Ngee Ann
Polytechnic, Singapore. He is also an Adjunct
Professor with Taylor’s University, Malaysia,
an Adjunct Faculty with the Singapore Institute
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analytics for surveillance: Theory and practice,’’ IEEE Signal Process. Mag., vol. 27, no. 5, pp. 16–17, Sep. 2010. VOLUME 7, 2019 183259 VOLUME 7, 2019 VOLUME 7, 2019 K. H. Cheong et al.: Practical Automated Video Analytics for Crowd Monitoring and Counting [52] A. Dore, M. Soto, and C. S. Regazzoni, ‘‘Bayesian tracking for video
analytics,’’ IEEE Signal Process. Mag., vol. 27, no. 5, pp. 46–55,
Sep. 2010. SANDRA POESCHMANN received the B.Eng. JIN MING KOH received the NUS High School
Diploma (High Distinction), in 2016. Since 2017,
he has been undertaking research projects offered
by K. H. Cheong. He is currently with the Califor-
nia Institute of Technology. V. CONCLUSION He has published more than 400 arti-
cles in refereed international SCI-IF journals (345), international conference
proceedings (42), books (17) with more than 20 000 citations in Google
Scholar (with H-index of 75), and Research Gate (RG) score of 47.1. He holds three patents. His major academic interests include biomedical
signal processing, biomedical imaging, data mining, visualization, and bio-
physics for better healthcare design, delivery, and therapy. He is ranked in
the top 1% of the Highly Cited Researchers for the last four consecutive
years (2016–2019) in computer science according to the Essential Science
Indicators of Thomson. [69] N/A, Common Objects in Context. Accessed: Oct. 29, 2019. [Online]. Available: http://cocodataset.org/#home [70] A. Rosebrock. (2018). Simple
Object
Tracking
With
OpenCV. Accessed: Aug. 8, 2019. [Online]. Available: https://www.pyimagesearch. com/2018/07/23/simple-object-tracking-with-opencv/ KANG HAO CHEONG (M’18) received the B.Sc. degree (Hons.) from the Department of Mathemat-
ics and University Scholars Programme, National
University of Singapore (NUS), in 2007, the Post-
graduate diploma in education from the National
Institute of Education, Singapore, and the Ph.D. degree from the Department of Electrical and
Computer Engineering, NUS, in 2015. He was an
Assistant Professor with the Engineering Cluster,
Singapore Institute of Technology, from 2016 to
2018. He is currently an Assistant Professor with the Science and Math
Cluster, Singapore University of Technology and Design (SUTD). He is also
affiliated with the SUTD-MIT International Design Centre. VOLUME 7, 2019 VOLUME 7, 2019 183260 183260 K. H. Cheong et al.: Practical Automated Video Analytics for Crowd Monitoring and Counting KENNETH
JIAN
WEI
TANG
received the
B.Eng. degree (Hons.) in sustainable infras-
tructure engineering (building services) and the
M.Eng.Tech. degree from the Singapore Institute
of Technology (SIT), in 2018 and 2019, respec-
tively. He is currently pursuing the Ph.D. degree
with the Science and Math Cluster, Singapore
University of Technology and Design. SIMON CHING MAN YU received the B.Eng. degree (Hons.) in ACGI and the Ph.D. degree in
DIC from the Department of Mechanical Engi-
neering, Imperial College, London, in 1987 and
1991, respectively. He is currently a Professor with
the Interdisciplinary Division of Aeronautical and
Aviation Engineering, The Hong Kong Polytech-
nic University. He joined Nanyang Technological
University, Singapore, immediately after his grad-
uation, as a Lecturer. He became a Senior Lecturer,
in 1996, and an Associate Professor, in 2000. V. CONCLUSION He has been involved in
the University Administration, since 2000: a Principal Staff Officer (Pres-
ident’s Office), from 2000 to 2003, a University Council Member, from
2001 to 2003, the Vice Dean, Admission Office, from 2003 to 2006, and the
Head of the Division of Aerospace Engineering, School of Mechanical and
Aerospace Engineering, from 2008 to 2013. He moved over to the Singapore
Institute of Technology as a Professor and a Programme Director, in 2013,
to establish one of the first engineering degree programmes offered solely by
the University. He has published more than 200 research articles in archive
journals and conferences. He managed to secure more than SGD 50 million
external grant during his tenure in the Nanyang Technological University,
especially during the period as the Head of the Division of Aerospace
Engineering. KENNETH
JIAN
WEI
TANG
received the
B.Eng. degree (Hons.) in sustainable infras-
tructure engineering (building services) and the
M.Eng.Tech. degree from the Singapore Institute
of Technology (SIT), in 2018 and 2019, respec-
tively. He is currently pursuing the Ph.D. degree
with the Science and Math Cluster, Singapore
University of Technology and Design. 183261 VOLUME 7, 2019
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English
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Compound method of time series classification
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Nonlinear analysis
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cc-by
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Received: July 13, 2014 / Revised: January 17, 2015 / Published online: September 9, 2015 Abstract. Many real phenomenona preserves the properties of chaotic dynamics. However,
unambiguous determination of belonging to a group of chaotic systems is difficult and complex
problem. The main purpose of this paper is to present compound method of time series classification
which is basically directed to the detection of chaotic behaviors. The method has been designed for
differentiation of three types of time series: chaotic, periodic and random. Our approach assumes,
that more reliable information about the dynamics of the system will provide the compilation
of several methods, than any individual. This paper focuses on choosing a good set of methods
and analysis of their results. In our investigation, we used the following methods and indicators:
time delay embedding, mutual information, saturation of system invariants, the largest Lyapunov
exponent and Hurst exponent. We checked the validity of the methods applying them to three
kinds of basic systems which generate chaotic, periodic and random time series. As a summary
of this paper, all selected methods and indicators computed for generated times series have been
summarized in the table, which gives the authors a possibility to conclude about type of observed
behavior. Keywords: deterministic chaos, time series analysis, Takens theorem. ISSN 1392-5113 ISSN 1392-5113 ISSN 1392-5113 http://dx.doi.org/10.15388/NA.2015.4.6
Nonlinear Analysis: Modelling and Control, Vol. 20, No. 4, 545–560 Compound method of time series classification Łukasz Korusa, Michał Piórekb
aDepartment of Control Systems and Mechatronic
Wroclaw University of Technology,
Janiszewskiego 11/17, 50-372 Wroclaw, Poland Łukasz Korusa, Michał Piórekb aDepartment of Control Systems and Mechatronics,
Wroclaw University of Technology,
Janiszewskiego 11/17, 50-372 Wroclaw, Poland
lukasz.korus@pwr.edu.pl aDepartment of Control Systems and Mechatronics,
Wroclaw University of Technology,
Janiszewskiego 11/17, 50-372 Wroclaw, Poland
lukasz.korus@pwr.edu.pl bDepartment of Computer Engineering,
Wroclaw University of Technology,
Janiszewskiego 11/17, 50-372 Wroclaw, Poland
michal.piorek@pwr.edu.pl Received: July 13, 2014 / Revised: January 17, 2015 / Published online: September 9, 2015 c⃝Vilnius University, 2015 2.1
Time delay embedding Many of real phenomenon are the results of nonlinear systems dynamics evolution [1]. Observation of such kind of systems provides many difficulties due to the fact that only
a limited set of information is accessible outside as a measurement of time series. The
basic assumption of this paper is that one time series is formed by samples measured in
the output of the system s(n) = x(t0 + n∆t),
(1) (1) where s(n) is the value of nth sample of measurement of physical process x in time
t0 + n∆t and t0 is initial time. According to Takens’ embedding theorem, it is possible
to reconstruct the state trajectory from single time series using below algorithm: y(n) =
s(n), s(n + T), . . . , s
n + (d −1)
T
,
(2) (2) where T is time delay and d is embedding dimension, which estimates a real dimension
of the observed system. The main point of the state space reconstruction method is T and
d estimation. To estimate time delay T, an average mutual information I has been used,
while for embedding dimension the saturation of system invariants method [1]. In our investigations, methods described below were used. In our investigations, methods described below were used. 1
Introduction In 1981, Floris Takens presents his theorem about Embedding Nonlinear Dynamical
systems, which conceive an opportunity to reconstruct attractors of chaotic dynamical
system. Reconstruction is based on a time series given by observations of one state of
dynamical system [37]. Over the next few years many of embedding approaches and theirs applications were
described, for example, by Sauer, Yorke and Casdagli [34]. Stark applied Taken’s theorem
to Forced Systems [36]. Abarbanel described the analysis of observed chaotic data in
physical systems [1]. 546 Ł. Korus, M. Piórek There are also many of papers about observing chaos in real systems [4, 5, 6, 12, 18,
19,21,22,26,28,32,38,41,42] and about controlling chaos [3,8,8,15,25,31,39]. Such a large number of methods from listed papers proves, that the field of analysis
of chaotic systems is heavily explored. This is due to the difficulty and complexity of the
subject. The approach described in this article was the result of previous experimental studies. In Section 2, a set of time series analysis methods were chosen and described. Selection
was preceded by a review of the literature. Section 3 describes a way for generating test
time series for further experiments. Section 4 presents the numerical results of experi-
ments carried out on the generated time series. Conclusions are described in Section 5. 2.2
Time delay estimation: average mutual information method There are three types of criterions of time delay Td selection [29]: There are three types of criterions of time delay Td selection [29]: • series correlation approaches (autocorrelation, mutual information [17] or high-
order correlations [2]), • approaches of phase space extension (fillfactor [11], wavering product [10] or av-
erage displacement [14]), • multiple autocorrelation and nonbias multiple autocorrelation [27]. http://www.mii.lt/NA http://www.mii.lt/NA 547 Compound method of time series classification For the purposes of this paper, mutual information method was selected. This ap-
proach is based on information theory and transformation of linear autocorrelation to non-
linear systems. More precisely, this method consists of 2-dimensional adaptive histogram. Let’s assume that there are two nonlinear systems: A and B. Outputs of these systems
are denoted as a and b, while values of these outputs are represented by ai and bk. Mutual
information factor describes how many bits of bk could be predicted, where ai is known: IAB(ai, bk) = log2
PAB(ai, bk)
PA(ai)PB(bk). (3) (3) Here PA(ai) is probability that a = ai and PB(bk) is probability that b = bk and
PAB(ai, bk) is join probability that a = ai and b = bk. Average mutual information
factor can be described by IAB(T) =
X
ai,bk
PAB(ai, bk)IAB(ai, bk). (4) (4) In order to use this method to assess correlation between different samples in the same
time series, the average mutual information factor is finally described by the equation I(T) =
N
X
n=1
P
S(n), S(n + T)
log2
P(S(n), S(n + T))
P(S(n))P(S(n + T)). (5) (5) Fraser and Swinney [17] propose that Tm lag Td, where the first minimum of I(T)
occurs as a useful selection of time. This selection guarantees that the measurements
are somewhat independent, but not statistically independent. In the case of absence of
the average mutual information clear minimum, this criterion needs to be replaced by
choosing Td as the time for which the average mutual information reaches 4/5 of its
initial value:
(
) Fraser and Swinney [17] propose that Tm lag Td, where the first minimum of I(T)
occurs as a useful selection of time. This selection guarantees that the measurements
are somewhat independent, but not statistically independent. 2.2
Time delay estimation: average mutual information method In the case of absence of
the average mutual information clear minimum, this criterion needs to be replaced by
choosing Td as the time for which the average mutual information reaches 4/5 of its
initial value: I(Td)
I(0) ≈4
5. (6) (6) Nonlinear Anal. Model. Control, 20(4):545–560 2.3
Embedding dimension estimation: saturation of system invariants As it was mentioned, delay coordinates are used to construct d-dimensional vector to
state space reconstruction. Takens theorem guarantees that if chosen embedding dimen-
sion is large enough, properties of the attractor of dynamical system will be the same
when computed on lagged coordinates and when computed in the physical coordinates. The main goal of state space reconstruction is to provide a Euclidean space Rd large
enough so that the set of points of dimension d can be unfolded without ambiguity. When
all ambiguities are resolved, one says that the space Rd provides an embedding of the
attractor of dynamical system and dimension d is an embedding dimension dE = d. There are several methods of selecting embedding dimension. One of them is the
method of false neighbors [9]. Very promising seems to be neural network method [30]. In this paper, saturation of system invariants method was used [1]. Nonlinear Anal. Model. Control, 20(4):545–560 548 Ł. Korus, M. Piórek Ł. Korus, M. Piórek For properly reconstructed attractor, every its property depending on distances be-
tween points in the state space should become independent of the value of the embedding
dimension once the large enough dE has been reached. Appropriate necessary embedding
dimension can be established by computing such property for dE = 1, 2 . . . until variation
with dE cases. Mentioned property can be the correlation integral [20]. The average number of points on the attractor within a radius of r of points x in the
state space, n(r, x), is defined by n(r, x) = 1
N
N
X
i=1
θ
r −
x(i) −x
,
(7) (7) where θ(u) is the Heaviside function: θ(u) = 0, u < 0; θ(u) = 1, u > 0. The average
over all points in attractor of n(r, x) is called correlation integral and is described below: C(r) = 1
M
M
X
j=1
n
r, x(j)
= 1
M
1
N
M
X
j=1
N
X
i=1
θ
r −
x(i) −x(j)
. (8) (8) We can evaluate C(r) as a function of dE and determine when the slope of its logarithm
as function of log r becomes independent of dE. In this method, the authors perceive the possibility to improve its efficiency through
the use of correlation dimension. 2.4
Correlation dimension saturation Fractal geometry and fractal dimension conception provide a general framework for the
study of such irregular sets, like strange attractors. Fractals, which are irregular geometric
objects, require a special meaning of dimension. Very roughly, fractal dimension provide
a description of how much space a set fills [7, 16]. Of the wide variety of fractal dimen-
sions in use, the definition of Hausdorff is the most important: dimH F = inf
s: Hs(F) = 0
= sup
s: Hs(F) = ∞
. (9) (9) Here Hs(F) is s-dimensional Hausdorff measure of set F defined as follows: Here Hs(F) is s-dimensional Hausdorff measure of set F defined as follows: Hs(F) = lim
σ→0 Hs
σ(F),
(10) (10) where Hs
σ(F) is described by equation where Hs
σ(F) is described by equation Hs
σ(F) = inf
( ∞
X
i=1
|Ui|s: Ui is σ-cover of F
)
. (11) (11) The attractor of chaotic system has a fixed fractal dimension determined by Hausdorff. Because of difficulties in its computations, several other fractal dimension estimators were
introduced. http://www.mii.lt/NA Compound method of time series classification 549 Correlation dimension D2 is one of the fractal dimension estimators particularly suited
for relatively easy experimental determination. It is connected with correlation integral C(r) ≈rD2. (12) (12) Above equation after some transformations can be written as D2 = lim
r→0
C(r)
ln r ,
(13)
D2 = lim
1
M
1
N
PM
j=1
PN
i=1 θ(r −|x(i) −x(j)|)
l
. (14) D2 = lim
r→0
C(r)
ln r ,
(13)
1
1 PM
PN
θ(
| (i)
(j)|) D2 = lim
r→0
C(r)
ln r , (13) D2
lim
r→0 ln r ,
(13)
D2 = lim
r→0
1
M
1
N
PM
j=1
PN
i=1 θ(r −|x(i) −x(j)|)
ln r
. (14) (14) For large N, Eq. (14) is useful estimator of D2. For large N, Eq. (14) is useful estimator of D2. ln
C(r)
≈ln
rD2
≈D2 ln r. (15) (15) In conclusion, estimation of D2 value is a slope factor of regression function chart tangent
to the most linear part of ln(C(r)) = f(ln r) dependency. The authors propose to saturate correlation dimension D2 instead to correlation in-
tegral in saturation of system invariants method. As will be shown in Section 4.2, this
improvement allows for a more clear and intuitive embedding dimension selection. 2.4
Correlation dimension saturation Cor-
relation dimension was chosen because of its intuitive implementation. There are several
other fractal dimension estimators, such as box-counting dimension, information dimen-
sion or Higuchi dimension. Interesting approaches to fractal dimension estimation and its
applications was presented [33,35]. 2.5
The largest Lyapunov exponent Lyapunov exponents describe velocity of distance increasing between two initially neigh-
boring orbits in the state space. The largest Lyapunov exponent describes the mean diver-
gence between initially neighboring trajectories by the following formula: d(t) = DeL1t,
(16) (16) where d(t) is distance between orbits in time, D is initial separation between neighboring
points and L1 is the largest Lyapunov exponent. In practice, value of the largest Lyapunov
exponent is commonly used chaos detection factor, because its positive value clearly
indicates chaotic behavior in the system. Wolf in his article [40] proposed to estimate
the largest Lyapunov’s exponent for time series based on below equation: where d(t) is distance between orbits in time, D is initial separation between neighboring
points and L1 is the largest Lyapunov exponent. In practice, value of the largest Lyapunov
exponent is commonly used chaos detection factor, because its positive value clearly
indicates chaotic behavior in the system. Wolf in his article [40] proposed to estimate
the largest Lyapunov’s exponent for time series based on below equation: L1 = 1
t
m
X
j=1
log2
L′(tj+1)
L(tj) ,
(17) (17) where L(tj) is a distance (in Euclidean sence) between pairs of trajectory points in time
t1 and L′(tj+1) is a distance between pairs of trajectory points in time tj+1. ( j+ )
j+
Alternative methods of the largest Lyapunov exponent estimation are Rossenstein’s
algorithm [13] or Kantz’s algorithm [24]. Nonlinear Anal. Model. Control, 20(4):545–560 550 Ł. Korus, M. Piórek 2.6
Hurst exponent Hurst exponent H can be counted by using R/S analysis based on the following algo-
rithm [23]: 1. N-length time series divide into k n-length subsets, where k · n = N. 1. N-length time series divide into k n-length subsets, where k · n = N. 2. For each subset m = 1, . . . , k: 2. For each subset m = 1, . . . , k: 2. For each subset m = 1, . . . , k: 2. For each subset m = 1, . . . , k: • count average Em and standard deviation Sm, • count average Em and standard deviation Sm, • count average Em and standard deviation Sm, • rescale each value in subset xi,m by cutting of the average value counted for
this subset • rescale each value in subset xi,m by cutting of the average value counted for
this subset zi,m = xi,m −Em
for i = 1, . . . , n,
(18) (18) • construct cumulated subset of rescaled values • construct cumulated subset of rescaled values • construct cumulated subset of rescaled values yi,m =
i
X
j=1
zj,m
for i = 1, . . . , n,
(19) (19) • calculate range Rm • calculate range Rm Rm = max{y1,m, . . . , yn,m} −min{y1,m, . . . , yn,m},
(20) (20) • rescale range Rm
Sm
. (21) 3. The average value of rescaled range for n-length subset can be described by 3. The average value of rescaled range for n-length subset can be described by R
S
n
= 1
k
k
X
m=1
Rm
Sm
. (22) (22) Hurst exponent can be calculated from below equation: Hurst exponent can be calculated from below equation: R
S
n
= (cn)H,
(23) (23) where: R/S – rescaled range, n – number of measurements in subset, c – constant value. Finally, after logarithmization of both sides above equation can be rewritten as follows: where: R/S – rescaled range, n – number of measurements in subset, c – constant value. Finally, after logarithmization of both sides above equation can be rewritten as follows: ln
R
S
= H ln n + H ln c. (24) (24) Slope factor value of linear regression function tangent to the most linear part of
ln(R/S) = f(ln n) dependency is an estimation of H. 2.6
Hurst exponent Slope factor value of linear regression function tangent to the most linear part of
ln(R/S) = f(ln n) dependency is an estimation of H. ( / )
(
)
It can be observed that, Hurst exponent values can be divided into three sets: • H = 0.5 – samples in examined time series is random and not correlated (i.i.d. series), • 0 < H < 0.5 – examined time series is antipersistent and ergodic, which means
that the distribution parameters are constant (if the system trajectory in some period
of time increases, then it is highly probable that it will decrease in upcoming period, http://www.mii.lt/NA http://www.mii.lt/NA http://www.mii.lt/NA Compound method of time series classification 551 • 0.5 < H < 1 – examined time series is persistant, which means that samples create
some trends (if the system trajectory in some period of time follows a particular
direction, it is highly probable that in the upcoming period the trajectory will keep
the same direction). 3.1
Lorenz system Considered Lorenz system is defined by differential equations dx(t)
dt
= σ
y(t) −x(t)
,
dy(t)
dt
= −x(t)z(t) + rx(t) −y(t),
dz(t)
dt
= x(t)y(t) −bz(t). (25) (25) For σ = 10, r = 28 and b = 8/3, this system generates chaotic time series. Figure 1
presents Lorenz attractor drawn for 214 points. Figure 2 presents time series generated by
state variable x. Fig. 2. Time series generated by variable x of
Lorenz’s system. Fig. 2. Time series generated by variable x of
Lorenz’s system. Fig. 1. Lorenz’s system attractor. Fig. 2. Time series generated by variable x of
Lorenz’s system. Fig. 1. Lorenz’s system attractor. Fig. 1. Lorenz’s system attractor. Fig. 2. Time series generated by variable x of
Lorenz’s system. 3
Test time series In this article, times series generated by four systems described below are examined. Nonlinear Anal. Model. Control, 20(4):545–560 3.3
Random and periodic systems Random time series are generated by uniform distributed system. Periodic time series are
generated by the system described by the following equations: x(n) = sin(n) + cos(n). (27) (27) 3.2
Henon system Henon system is described by differential equations Henon system is described by differential equations dx(t)
dt
= 1.4 + 0.3y(t) −x(t)2,
dy(t)
dt
= x(t). (26) (26) (26) Figure 3 presents Henon atractor drawn for 214 points. Figure 4 presents time series
generated by state variable x. Nonlinear Anal. Model. Control, 20(4):545–560 552 Ł. Korus, M. Piórek Fig. 3. Henon’s system attractor. Fig. 4. Time series generated by variable x of
Henon’s system. Fig. 4. Time series generated by variable x of
Henon’s system. Fig 3 Henon’s system attractor Fig. 3. Henon’s system attractor. Fig. 3. Henon’s system attractor. Fig. 4. Time series generated by variable x of
Henon’s system. 4.1
Time delay estimation Based on I = f(T) dependency charts presented below, time delay values T for test
systems were estimated. Optimal time delay value Topt is estimated either as a first minimum of dependency
I = f(T) or from the equation I(Topt)/I(0) ≈4/5. Analyzing Fig. 5, it can be assumed
that Topt ≈13, because the first minimum is located in this area. In order to estimate Fig. 5. I = f(T) dependency chart for Lorenz’s
system. Fig. 5. I = f(T) dependency chart for Lorenz’s
system. Fig. 6. I = f(T) dependency chart for Henon’s
system. Fig. 6. I = f(T) dependency chart for Henon’s
system. Fig. 5. I = f(T) dependency chart for Lorenz’s
system. Fig. 5. I = f(T) dependency chart for Lorenz’s
system. Fig. 6. I = f(T) dependency chart for Henon’s
system. http://www.mii.lt/NA Compound method of time series classification 553 Fig. 7. I = f(T) dependency chart for random
system. Fig. 8. I = f(T) dependency chart for periodic
system. Topt for the Henon system, the second criteria was used. It means that the optimal time
delay value was taken as 80% of initial value of mutual information I(0). In this case,
I(0) ≈7.62, I(Topt) = 6.1 and in consequence Topt ≈1. Analyzing dependency I =
f(T) for random system, it can be assumed that all samples for T > 0 are not correlated. For periodic system, a mutual information value I is high in wide range of T. It confirms
d
i i i
f hi Fig. 8. I = f(T) dependency chart for periodic
system. Fig. 7. I = f(T) dependency chart for random
system. Fig. 7. I = f(T) dependency chart for random
system. Fig. 7. I = f(T) dependency chart for random
system. Fig. 8. I = f(T) dependency chart for periodic
system. Topt for the Henon system, the second criteria was used. It means that the optimal time
delay value was taken as 80% of initial value of mutual information I(0). In this case,
I(0) ≈7.62, I(Topt) = 6.1 and in consequence Topt ≈1. Analyzing dependency I =
f(T) for random system, it can be assumed that all samples for T > 0 are not correlated. For periodic system, a mutual information value I is high in wide range of T. It confirms
a deterministic nature of this system. Nonlinear Anal. Model. Control, 20(4):545–560 4.2
Embedding dimension estimation In order to estimate embedding dimension of examined systems, saturation of system
invariants have been used. Above charts express dependency between correlation integral and radius used to
calculate this invariant. This method was described in Section 2.3 and it assumes control
of correlation integral C2 value for increasing value of radius e. Analyzing Fig. 9, it can be stated that the biggest change can be observed for di-
mensions lower than dE ⩽3. Further increase of embedding dimension value doesn’t
have significant impact on examined invariant C2. In conclusion estimated embedding
dimension value was taken as dE = 3. In Fig. 10 it can be noticed that the correlation integral C2 is saturated for dE ⩾2. For random time series, correlation integral is never saturated which can be observed in
Fig. 11. Analyzing Fig. 12, it can be stated that saturation is present for wide range of
dE ⩾1. In the second approach, system’s dynamics can be described by correlation dimension
which is one of the fractal dimension and can be also treated as an invariant in saturation
method. For instance, analyzing Fig. 13 for Lorenz system, it can be observed that if embed-
ding dimension is greater than three (dE ⩾3), correlation dimension value C2 seems to
be saturated and doesn’t change to much. For Henon time series saturation is reached for dE ⩾2, which can be easily seen in
Fig. 14. 554 Ł. Korus, M. Piórek Fig. 9. Correlation integral C2 versus radius e for
Lorenz time series. Fig. 10. Correlation integral C2 versus radius e for
Henon time series. Fig. 11. Correlation integral C2 versus radius e for
random time series. Fig. 12. Correlation integral C2 versus radius e for
periodic time series. Fig. 13. D2 values versus dE for Lorenz time
series. Fig. 14. D2 values versus dE for Henon time series. Fig. 9. Correlation integral C2 versus radius e for
Lorenz time series. Fig. 10. Correlation integral C2 versus radius e for
Henon time series. Fig. 10. Correlation integral C2 versus radius e for
Henon time series. Fig. 9. Correlation integral C2 versus radius e for
Lorenz time series. Fig. 10. Correlation integral C2 versus radius e for
Henon time series. Fig. 9. Correlation integral C2 versus radius e for
Lorenz time series. Fig. 11. Correlation integral C2 versus radius e for
random time series. Fig. 12. 4.2
Embedding dimension estimation Correlation integral C2 versus radius e for
periodic time series. Fig. 11. Correlation integral C2 versus radius e for
random time series. Fig. 12. Correlation integral C2 versus radius e for
periodic time series. Fig. 14. D2 values versus dE for Henon time series. Fig. 13. D2 values versus dE for Lorenz time
series. As it was mentioned before, for random time series saturation is never observed,
which can be also assumed from Fig. 15. It means that the distance between pairs of
points in state space never became a constant value. Figure 16 presents that saturation is
reached for dE = 1. http://www.mii.lt/NA Compound method of time series classification 555 Fig. 15. D2 values versus dE for random time series. Fig. 16. D2 values versus dE for periodic time series. Fig. 15. D2 values versus dE for random time series. Fig. 16. D2 values versus dE for periodic time series. 4.3
Hurst exponent analysis Below figures allow to estimate Hurst exponent using linear regression method. Fig. 17. ln(R/S) versus ln(n) for Lorenz time
series. Fig. 18. ln(R/S) versus ln(n) for Henon time
series. Fig. 19. ln(R/S) versus ln(n) for random time
series. Fig. 20. ln(R/S) versus ln(n) for periodic time
series. e
Fig. 18. ln(R/S) versus ln(n) for Henon time
series. Fig. 17. ln(R/S) versus ln(n) for Lorenz time
series. Fig. 17. ln(R/S) versus ln(n) for Lorenz time
series. Fig. 18. ln(R/S) versus ln(n) for Henon time
series. Fig. 18. ln(R/S) versus ln(n) for Henon time
series. Fig. 20. ln(R/S) versus ln(n) for periodic time
series. Fig. 19. ln(R/S) versus ln(n) for random time
series. Nonlinear Anal. Model. Control, 20(4):545–560 556 Ł. Korus, M. Piórek Analyzing Fig. 17, it can be stated that examined time series is persistent and H ≈0.8. Based on results of Hurst analysis presented in Fig. 18, it can be stated that Henon time
series is antipersistent and H ≈0.42. Results of R/S analysis for random time series
can be found in Fig. 19. Analyzing this figure, it can be concluded that H ≈0.5, which
confirms randomness of this time series. Figure 20 confirms a deterministic character of
examined time series (H ≈1). 4.4
Lyapunov exponents Below figures present the largest Lyapunov exponent estimations for the test time series
computed by using Wolf’s algorithm [40]. Based on below figures it can be stated that
for chaotic times series generated by Lorenz and Henon system, the largest Lyapunov
exponent are positive. It means that these systems are highly sensitive to initial condi-
tions. Small change of initial state, generates exponential increasing distance between
trajectories. Unfortunately, Lyapunov exponents can not be used to differ chaotic and random time
series, because both of them give positive values. The largest Lyapunov values for random
times series are presented on Fig. 23. Fig. 22. The largest Lyapunov exponent for Henon
time series. Fig. 24. The largest Lyapunov exponent for Periodic
time series. http://www mii lt/NA Fig. 21. The largest Lyapunov exponent for Lorenz
time series. Fig. 22. The largest Lyapunov exponent for Henon
time series. Fig. 23. The largest Lyapunov exponent for
Random time series. Fig. 24. The largest Lyapunov exponent for Periodic
time series. Fig. 22. The largest Lyapunov exponent for Henon
time series. Fig. 21. The largest Lyapunov exponent for Lorenz
time series. Fig. 22. The largest Lyapunov exponent for Henon
time series. Fig. 22. The largest Lyapunov exponent for Henon
time series. Fig. 23. The largest Lyapunov exponent for
Random time series. Fig. 24. The largest Lyapunov exponent for Periodic
time series. Fig. 23. The largest Lyapunov exponent for
Random time series. http://www.mii.lt/NA 557 Compound method of time series classification As it can be seen on Fig. 24, the largest Lyapunov exponent for periodic system is
negative, which confirms the existence of non-chaotic attractor. 5
Conclusions In this article, three types of times series were examined: chaotic, random and periodic. To differ type of behavior, the following methods were used: mutual information to
estimate time delay Topt, saturation of system’s invariants for estimation of embedding
dimension dE, correlation dimension to estimate fractal dimension D2, Hurst exponent
to examinate memory effect H and the largest Lyapunov exponent to check dependency
on initial conditions. Values of all of mentioned above parameters for all examined systems are gathered
in Table 1. Analyzing Topt for random system, it can be stated that information in the
system is lost very quickly and it is exactly opposite to periodic system, where this
dependency is continously observable. Analyzing fractal dimension, it can be noticed
that for chaotic time series, saturated values are non-integer, while for periodic are very
close to integer and infinity for random. Hurst analysis allows to differ mainly random
and periodic behaviors. Lyapunov exponents are positive for chaotic time series (Lorenz
and Henon) and random. For periodic time series the largest Lyapunov exponent is nega-
tive. Based on above summary, we can conclude that below set of indicators are properly
selected to differ behaviors in time series. If there is a need to distinguish chaotic and
periodic behavior in time series, the largest Lyapunov estimation is suggested method. On
the other hand, if the goal is to differ random and periodic times series, Hurst exponent
estimation could be useful. Fractal dimension estimations can provide information about
attractor, which in consequence allows simple method to differ chaotic from periodic
systems. To sum it up, it can be stated that there is none common method which gives
a possibility to fully differ three types of behavior: chaotic, random and periodic. It is
necessary to use wider set of methods, which provide more complex information about
different properties of examined times series. Additional conclusion which can be drawn from this paper, is that correlation dimen-
sion seems to be very efficient invariant in the saturation of system’s invariant method. Saturation of correlation dimension instead of correlation integral is more precise and in-
tuitive, which can be observed on Figs. 13–16. This approach allows to define embedding
dimension more clearly. Table 1. Parameters estimation results for examined time series. Nonlinear Anal. Model. Control, 20(4):545–560 References 1. H. Abarbanel, Analysis of Observed Chaotic Data, Springer-Verlag, New York, 1996. 2. A.M. Albano et al., Using high-order correlations to define an embedding window, Physica D,
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Conclusions Parameters
Lorenz
Henon
Random
Periodic
Topt
13
1
NA
NA
dE
3
2
∞
1
D2
1.98
1.19
∞
1
H
0.80
0.42
0.5
1
L
+
+
+
−
Nonlinear Anal. Model. Control, 20(4):545–560 Table 1. Parameters estimation results for examined time series. Parameters
Lorenz
Henon
Random
Periodic
Topt
13
1
NA
NA
dE
3
2
∞
1
D2
1.98
1.19
∞
1
H
0.80
0.42
0.5
1
L
+
+
+
−
Nonlinear Anal. Model. Control, 20(4):545–560 Table 1. Parameters estimation results for examined time series. Parameters
Lorenz
Henon
Random
Periodic
Topt
13
1
NA
NA
dE
3
2
∞
1
D2
1.98
1.19
∞
1
H
0.80
0.42
0.5
1
L
+
+
+
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https://openalex.org/W3180780402
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https://hal.science/hal-03458198/document
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English
| null |
DMS emissions from the Arctic marginal ice zone
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Elementa
| 2,021
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cc-by
| 26,252
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DMS emissions from the Arctic marginal ice zone
Martí Galí, Martine Lizotte, David Kieber, Achim Randelhoff, Rachel
Hussherr, Lei Xue, Julie Dinasquet, Marcel Babin, Eric Rehm, Maurice
Levasseur To cite this version: Martí Galí, Martine Lizotte, David Kieber, Achim Randelhoff, Rachel Hussherr, et al.. DMS emissions
from the Arctic marginal ice zone. Elementa: Science of the Anthropocene, 2021, 9 (1), 10.1525/ele-
menta.2020.00113. hal-03458198 Distributed under a Creative Commons Attribution 4.0 International License 1Takuvik International Research Laboratory, Laval University
(Canada), CNRS, France
2De´partement de biologie et Que´bec-Oce´an, Universite´ Laval,
Que´bec City, QC, Canada
3Barcelona Supercomputing Center (BSC)
4Department of Chemistry, College of Environmental Science
and Forestry, State University of New York, Syracuse, NY, USA
5Marine Biology Research Division, Scripps Institution of
Oceanography, La Jolla, CA, USA
6Sorbonne Universite´, Laboratoire d’Oce´ anographie
Microbienne, Banyuls-sur-Mer, France
* Corresponding author:
Email: marti.gali.tapias@gmail.com DMS emissions from the Arctic marginal ice zone
Martı´ Galı´1,2,3,*, Martine Lizotte1,2, David J. Kieber4, Achim Randelhoff1,2,
Rachel Hussherr1,2, Lei Xue4, Julie Dinasquet5,6, Marcel Babin1,2, Eric Rehm1,2, and
Maurice Levasseur1,2 Phytoplankton blooms in the Arctic marginal ice zone (MIZ) can be prolific dimethylsulfide (DMS) producers,
thereby influencing regional aerosol formation and cloud radiative forcing. Here we describe the distribution
of DMS and its precursor dimethylsulfoniopropionate (DMSP) across the Baffin Bay receding ice edge in early
summer 2016. Overall, DMS and total DMSP (DMSPt) increased towards warmer waters of Atlantic origin
concurrently with more advanced ice-melt and bloom stages. Relatively high DMS and DMSPt (medians of
6.3 and 70 nM, respectively) were observed in the surface layer (0–9 m depth), and very high values
(reaching 74 and 524 nM, respectively) at the subsurface biomass maximum (15–30 m depth). Microscopic
and pigment analyses indicated that subsurface DMS and DMSPt peaks were associated with Phaeocystis
pouchetii, which bloomed in Atlantic-influenced waters and reached unprecedented biomass levels in Baffin
Bay. In surface waters, DMS concentrations and DMS:DMSPt ratios were higher in the MIZ (medians of 12 nM
and 0.15, respectively) than in fully ice-covered or ice-free conditions, potentially associated with enhanced
phytoplanktonic DMSP release and bacterial DMSP cleavage (high dddP:dmdA gene ratios). Mean sea–air DMS
fluxes (mmol m–2 d–1) increased from 0.3 in ice-covered waters to 10 in open waters (maximum of 26) owing to
concurrent trends in near-surface DMS concentrations and physical drivers of gas exchange. Using remotely
sensed sea-ice coverage and a compilation of sea–air DMS flux data, we estimated that the pan-Arctic DMS
emission from the MIZ (EDMS, MIZ) was 5–13 Gg S yr–1. North of 80N, EDMS, MIZ might have increased by around
10 + 4% yr–1 between 2003 and 2014, likely exceeding open-water emissions in June and July. We conclude
that EDMS, MIZ must be taken into account to evaluate plankton-climate feedbacks in the Arctic. Keywords: Dimethylsulfide, Dimethylsulfoniopropionate, Arctic, Marginal ice zone, Microbial plankton,
Phaeocystis pouchetii HAL Id: hal-03458198
https://hal.science/hal-03458198v1
Submitted on 8 Apr 2022 L’archive ouverte pluridisciplinaire HAL, est
destinée au dépôt et à la diffusion de documents
scientifiques de niveau recherche, publiés ou non,
émanant des établissements d’enseignement et de
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publics ou privés. HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished or not. The documents may come from
teaching and research institutions in France or
abroad, or from public or private research centers. Distributed under a Creative Commons Attribution 4.0 International License Galı´, M, et al. 2021. DMS emissions from the Arctic marginal ice
zone. Elem Sci Anth, 9: 1. DOI: https://doi.org/10.1525/
elementa.2020.00113 RESEARCH ARTICLE
DMS emissions from the Arctic marginal ice zone
Martı´ Galı´1,2,3,*, Martine Lizotte1,2, David J. Kieber4, Achim Randelhoff1,2,
Rachel Hussherr1,2, Lei Xue4, Julie Dinasquet5,6, Marcel Babin1,2, Eric Rehm1,2, and
Maurice Levasseur1,2 Keywords: Dimethylsulfide, Dimethylsulfoniopropionate, Arctic, Marginal ice zone, Microbial plankton,
Phaeocystis pouchetii 1. Introduction These pulses of sympagic and pelagic
algal growth, largely dominated by diatom species,
account for a major portion of annual primary production
in polar waters (Perrette et al., 2011; Wassmann and Re-
igstad, 2011; Renaut et al., 2018) and result in the emis-
sion of a wide diversity of biogenic particles and gases to
the atmosphere (Levasseur, 2013; Gabric et al., 2018; Ab-
batt et al., 2019). The emission of DMS from seawater results from a com-
plex network of biotic and abiotic processes (Simo´, 2001). The primary precursor of DMS is dimethylsulfoniopropio-
nate (DMSP), a compound synthesized mainly by marine
algae (Stefels et al., 2007) and also by some bacteria (Cur-
son et al., 2017). In phytoplankton, DMSP serves different
physiological functions such as osmoregulation, antioxida-
tion or cryoprotection (Stefels et al., 2007), and its intra-
cellular concentrations vary widely across taxonomic
groups, with most high DMSP producers found among the
haptophytes and dinoflagellates (Keller, 1989; McParland
and Levine, 2019). Conversion of DMSP to DMS proceeds
mostly through the enzymatic cleavage by algal (Alcolom-
bri et al., 2015) and bacterial (Curson et al., 2011) DMSP-
lyase enzymes. The cleavage pathway typically accounts for
<30% of the microbial DMSP consumption (Kiene and
Linn, 2000; Galı´ and Simo´, 2015), and the remainder is
transferred to bacteria and protists and diverted away
from DMS production. However, the efficiency of the con-
version of DMSP to DMS can vary widely in response to
food-web processes, such as grazing (Simo´ et al., 2018),
bacterial metabolism (Kiene et al., 2000), and environ-
mental stressors, such as nutrient limitation (Sunda et
al., 2007), high irradiance (Galı´ et al., 2013), and ocean
acidification (Be´nard et al., 2021). In the upper mixed
layer of the ocean, dissolved DMS is readily transformed
to dissolved non-volatile sulfur species by DMS-consuming
bacteria (Kiene and Bates, 1990; del Valle et al., 2009;
Lidbury et al., 2016) and photolysis (Kieber et al., 1996;
Galı´ et al., 2016). In consequence, typically less than 15%
of the DMS produced in the upper mixed layer is vented to
the atmosphere in ice-free waters (Galı´ and Simo´, 2015). Biogenic emissions play an important role in the Arctic
climate in late spring and summer, when biological activ-
ity is maximal and the atmosphere is depleted of aerosols
(both natural and anthropogenic; Abbatt et al., 2019). 1. Introduction known as the marginal ice zone (MIZ) will move every year
from its southernmost extent in late winter to its north-
ernmost extent prior to complete melt in late summer. Therefore, biogeochemical processes occurring within the
MIZ, including the emission of biogenic gases and parti-
cles to the atmosphere, have the potential to reshape
marine ecosystems and geosystems across the entire Arctic
Ocean. The shrinking and thinning of Arctic sea ice are among the
most striking consequences of anthropogenic global
warming (Arctic Monitoring & Assessment Programme
[AMAP], 2017; Intergovernmental Panel on Climate
Change [IPCC], 2019). Model projections indicate that the
Arctic could become entirely ice free in summer by 2040–
2050 (Thackeray and Hall, 2019). In this new regime,
devoid of multiyear ice, the belt of retreating sea ice The MIZ is an ephemeral environment, in this study
operationally defined as the zone where the sea-ice cover
decreases from nearly total (>85%) to nearly absent
(<15%) before permanent ice opening in spring and sum-
mer. Several tens or a few hundred kilometers wide
(Strong, 2012; Strong and Rigor, 2013) and with a duration
of days to weeks (Randelhoff et al., 2019), the MIZ hosts
intense exchanges of freshwater, heat and momentum
between the ocean and the atmosphere (McPhee, 2008). From a biogeochemical standpoint, the MIZ period marks
the transition between two major blooms of microalgae in
the Arctic. Prior to the melt season, biological activity
generally concentrates in the bottom layer of the sea ice,
where sympagic algae grow massively as soon as sufficient
light penetrates through the ice or snow surface (Leu et Art. 9(1) page 2 of 31 Galı´ et al: DMS Emissions from the Arctic MIZ Ghahremaninezhad et al., 2019), and also the episodic
nature of new particle formation events (Collins et al.,
2017; Dall’Osto et al., 2017; Heintzenberg et al., 2017). These findings stress the need to better understand and
quantify DMS emissions from ephemeral environments
such as the MIZ that can produce intense but short-lived
emission events. al., 2015). When sufficient sunlight crosses the sea ice or
the free ocean surface, phytoplankton can also bloom in
the water column, taking advantage of nutrient stocks
replenished over the winter and stable stratification
caused by ice melt. 1. Introduction The
low aerosol baseline, caused by limited transport from
lower latitudes and efficient scavenging (Heintzenberg et
al., 2015; Croft et al., 2016), favors secondary aerosol for-
mation from local gaseous emissions (Leaitch et al., 2013;
Collins et al., 2017). The gas dimethylsulfide (DMS) is,
quantitatively, the main volatile organic compound emit-
ted by the activity of marine and sea-ice microbes (Simo´,
2011; Carpenter et al., 2012). In the clean Arctic atmo-
sphere, DMS oxidation end-products (mostly, sulfuric and
methanesulfonic acids) readily form new aerosol particles
that scatter sunlight (Dawson et al., 2012; Leaitch et al.,
2013; Hodshire et al., 2019; Veres et al., 2020; Brean et al.,
2021). Moreover, DMS derivatives contribute to the con-
densational growth of aerosols into cloud condensation
nuclei (CCN; Ghahremaninezhad et al., 2019), altering the
balance between cloud shortwave forcing (increasing
cloud albedo) and longwave forcing (increasing heat
retention) (Andreae and Rosenfeld, 2008; Carslaw et al.,
2013; Mahmood et al., 2019). In aerosol-depleted areas
and over the pack ice, this radiative balance is particularly
sensitive to local CCN sources (Mauritsen et al., 2011). Thus, ongoing changes in DMS emission patterns and
their underlying drivers (Six et al., 2013; Galı´ et al.,
2019) can influence the ensemble of climate feedbacks,
known as Arctic amplification, that cause the Arctic to
warm faster than the global average (Serreze and Barry,
2011). In turn, changes in atmospheric radiative transfer
and ice dynamics can modulate phytoplankton productiv-
ity, potentially establishing a feedback mechanism (Charl-
son et al., 1987) that has yet to be verified (Quinn and
Bates, 2011). Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on The multiple biogeochemical pathways that mediate
between DMSP synthesis and DMS emission generally
tend to buffer DMS concentrations in open ocean settings
(Galı´ and Simo´, 2015), where sea-surface DMS concentra-
tions above 10 nM are rare (Lana et al., 2011). 1. Introduction In the MIZ,
however, seawater DMS concentrations and sea–air DMS
fluxes (FDMS) can greatly increase when some factors co-
occur, namely: the formation of massive phytoplankton
blooms (Perrette et al., 2011; Arrigo et al., 2014; Renaut
et al., 2018) depending on the type of ice edge (multi-year
versus first-year sea ice; Lizotte et al., 2020); the presence
of high DMSP and DMS producers (Levasseur, 2013); the
enhancement of DMS production by food-web interac-
tions or physiological stress (Matrai et al., 1995; Sunda
et al., 2007; Galı´ et al., 2013); and weak biological DMS
removal during early bloom stages (del Valle et al., 2009). Among these factors, blooms of the colony-forming hap-
tophyte Phaeocystis are thought to play a prominent role. This genus has an intracellular DMSP content of about
5%–10% of cell carbon, roughly one order of magnitude
higher than diatoms and, unlike diatoms, displays high DMS emission (EDMS) in the Arctic originates from
both surface seawater and ice environments such as the
ice bottom (Galindo et al., 2014) and saline melt ponds
(Gourdal et al., 2018; Park et al., 2019). Current estimates
obtained with different approaches indicate that ice-free
waters largely dominate EDMS regionally at the pan-Arctic
level (Lana et al., 2011; Galı´ et al., 2019; Hayashida et al.,
2020). Yet, DMS has an atmospheric lifetime of a few days,
at most, which limits atmospheric transport and magnifies
the effects of local DMS sources on aerosols in conjunction
with local meteorological conditions. Recent studies high-
lighted the broad variability and patchiness in tropo-
spheric DMS concentrations (Mungall et al., 2016; Art. 9(1) page 3 of 31 Galı´ et al: DMS Emissions from the Arctic MIZ Figure 1. Maps of the study area and sea-surface DMS concentrations and fluxes (FDMS). (a) Bathymetric map of southern
Baffin Bay, Davis Strait and northern Labrador Sea. Dots show the grid of Green Edge cruise stations, colored according
to the “Arctic N-P relationship” (ANP) at 20 m, which distinguishes waters of Arctic (blue) and Atlantic (red) origin,
whose approximate circulation is shown by arrows; (b) close-up of the study area. The size of empty and filled circles
indicates the magnitude of sea-surface DMS concentrations and sea–air DMS fluxes, respectively, and the color of
filled circles indicates whether a station is classified as ICE, MIZ, or OW (Table 1). 1. Introduction Contours of satellite-retrieved sea-ice
fractional coverage are shown in different textures and shades of blue for different periods of 5 days of the year:
d176–d180 (0.10 contour), d181–d185 (0.10 contour), and d186–d190 (0.10, 0.50, 0.80, and 0.85 contours). Sampled
stations and the start dates of sampled transects (Julian day, d) are also indicated. Stations not sampled for sulfur
compounds are marked with crosses. DOI: https://doi.org/10.1525/elementa.2020.00113.f1 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 April 2022 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by gues Figure 1. Maps of the study area and sea-surface DMS concentrations and fluxes (FDMS). (a) Bathymetric map of southern
Baffin Bay, Davis Strait and northern Labrador Sea. Dots show the grid of Green Edge cruise stations, colored according
to the “Arctic N-P relationship” (ANP) at 20 m, which distinguishes waters of Arctic (blue) and Atlantic (red) origin,
whose approximate circulation is shown by arrows; (b) close-up of the study area. The size of empty and filled circles
indicates the magnitude of sea-surface DMS concentrations and sea–air DMS fluxes, respectively, and the color of
filled circles indicates whether a station is classified as ICE, MIZ, or OW (Table 1). Contours of satellite-retrieved sea-ice
fractional coverage are shown in different textures and shades of blue for different periods of 5 days of the year:
d176–d180 (0.10 contour), d181–d185 (0.10 contour), and d186–d190 (0.10, 0.50, 0.80, and 0.85 contours). Sampled
stations and the start dates of sampled transects (Julian day, d) are also indicated. Stations not sampled for sulfur
compounds are marked with crosses. DOI: https://doi.org/10.1525/elementa.2020.00113.f1 DMSP-lyase activity (Sheehan and Petrou, 2019; Stefels et
al., 2007). These factors, together with the global distribu-
tion of bloom-forming Phaeocystis species, make Phaeocys-
tis blooms a major source of atmospheric DMS globally
(Schoemann et al., 2005; Wang et al., 2015). transmissometer (0.25-m pathlength). The CTD data were
processed according to standard Amundsen Science Team
procedures (P Guillot, personal communication). Transmis-
someter profiles were used to calculate the beam attenu-
ation coefficient at 650 nm due to particles, cp (m–1),
following standard procedures (Loisel and Morel, 1998). Particulate organic carbon (POC; units of mg m–3) was
estimated from cp using a conversion factor of 500 mg
POC m–2 (Cetinic´ et al., 2012, and references therein). 1. Introduction Water samples were collected at several depths using Ni-
skin bottles mounted on the CTD rosette for the determi-
nation of dimethylated sulfur compounds (Section 2.4),
phytoplankton pigments and abundance (Section 2.6),
bacterial abundance and sulfur metabolism (Section 2.7),
and inorganic nutrients (nitrate, nitrite, phosphate, and
silicate; Koroleff and Hansen, 1999; see details in Randelh-
off et al., 2019). In this article we describe spatial DMS and DMSP con-
centration patterns across a receding first-year ice edge in
Baffin Bay, seeking to disentangle the role of Pacific-
derived Arctic water masses and Atlantic water masses,
meltwater stratification, and phytoplankton bloom pro-
gression, with particular attention to Phaeocystis pouchetii. Finally, we compare our findings to a compilation of in
situ studies, and upscale in situ observations using remote
sensing to provide pan-Arctic estimates of DMS emission
from the MIZ (EDMS, MIZ) between 2003 and 2016. 2.2. Satellite sea-ice concentration data sets DOI: https://doi.org/10.1525/elementa.2020.00113.t1
Characteristic
Ice-Cover Category
ICE
MIZ
OW
Descriptors of the stations
OWD thresholds (d)
OWD < –3
–3 OWD 3
OWD > 3
Mean observed OWD
–12
0
13
SIC thresholds (%) (days –2, –1, 0)a
SIC > 85
85 SIC 15
SIC < 15
Mean observed SIC (%) (days –2, –1, 0)a
94, 93, 90
52, 45, 15
0, 1, 0
Arctic-domain stations
400, 403, 406, 600, 719
519, 603, 604.5, 605, 716
608, 700, 703, 707, 713
Atlantic-domain stations
409, 412, 413
507, 512, 515
418, 506, 612, 615
Total number of stations
8
8
9
Descriptors of the water column physics and biogeochemistry: mean (min–max)
MLD0.03 (m)b
6 (2–22)
3 (1–5)
7 (1–15)
hBD (m)c
20 (15–32)
15 (11–17)
18 (12–31)
Isolume 0.415 (m)
26 (11–41)
35 (21–47)
42 (29–60)
Nitracline (m)
1 (0–7)
4 (0–15)
21 (1–43)
SBM (m)d
8 (3–21)
12 (7–16)
24 (16–31)
a Satellite-retrieved sea-ice concentration (SIC); (days –2 –1 0) refers to the 3-day period ending on the sampling day Characteristic
Ice-Cover Category
ICE
MIZ
OW
Descriptors of the stations
OWD thresholds (d)
OWD < –3
–3 OWD 3
OWD > 3
Mean observed OWD
–12
0
13
SIC thresholds (%) (days –2, –1, 0)a
SIC > 85
85 SIC 15
SIC < 15
Mean observed SIC (%) (days –2, –1, 0)a
94, 93, 90
52, 45, 15
0, 1, 0
Arctic-domain stations
400, 403, 406, 600, 719
519, 603, 604.5, 605, 716
608, 700, 703, 707, 713
Atlantic-domain stations
409, 412, 413
507, 512, 515
418, 506, 612, 615
Total number of stations
8
8
9
Descriptors of the water column physics and biogeochemistry: mean (min–max) Descriptors of the water column physics and biogeochemistry: mean (min–max) MLD0.03 (m)b
6 (2–22)
3 (1–5)
7 (1–15)
hBD (m)c
20 (15–32)
15 (11–17)
18 (12–31)
Isolume 0.415 (m)
26 (11–41)
35 (21–47)
42 (29–60)
Nitracline (m)
1 (0–7)
4 (0–15)
21 (1–43)
SBM (m)d
8 (3–21)
12 (7–16)
24 (16–31) a Satellite-retrieved sea-ice concentration (SIC); (days –2, –1, 0) refers to the 3-day period ending on the sampling b Shallowest mixed layer depth where sigma-t exceeded by 0.03 kg m–3 the value at 1 m. c Equivalent mixed layer depth (as defined by Randelhoff et al., 2017). d Subsurface biomass maximum. 2.2. Satellite sea-ice concentration data sets An additional SIC dataset for the entire Arctic between
2003 and 2016 was downloaded from the National Snow
and Ice Data Center (http://nsidc.org), and consisted of
images obtained by the Special Sensor Microwave/Imager
(2003–2007) and the Special Sensor Microwave Imager/
Sounder (2008–2016). Daily SIC images at 25-km resolu-
tion were re-projected onto a 4.64-km sinusoidal grid to
better match ocean color remote sensing products, and
then bin-averaged into 6 6 macropixels (27.84 km) and
8-day periods. This dataset was used to compute pan-
Arctic estimates of EDMS, MIZ (Section 2.9) in a format that
was directly comparable to previous satellite-based esti-
mates of EDMS from open waters (Galı´ et al., 2019). Thus, the mean irradiance during the 24-h prior to sam-
pling at each station was computed from the hourly
SBDART output. p
Downwelling PAR was measured in the water column
down to 100 m using a Compact Optical Profiling System
(C-OPS, Biospherical Instruments Inc., San Diego, CA). Underwater measurements were referenced to simulta-
neous above-surface measurements to calculate the verti-
cal PAR transmittance profile for a given C-OPS cast. To
correct for the effect of variable ice cover, the mean PAR
transmittance profile at each station was computed as the
SIC-weighted average of the closest ice-free and ice-
covered C-OPS casts. To obtain the mean daily PAR profile,
the mean transmittance profile was multiplied by the
mean daily PAR0þ (see details about the measurements
and calculations in Randelhoff et al. 2019). 2.3. Irradiance
lli
h Downwelling photosynthetically active radiation (PAR)
immediately above the sea surface (PAR0þ) was estimated
with the Santa Barbara DISORT Atmospheric Radiative
Transfer (SBDART) model (Ricchiazzi et al., 1998) using
precomputed look-up tables (Laliberte´ et al., 2016). Hourly
SBDART time series showed good agreement with in situ
data recorded on the ship’s meteorological tower (Kipp
and Zonen PAR Lite; sampling frequency 1 min–1), with
R2 ¼ 0.88 and mean bias ¼ –6%. Measurements taken on
the ship were deemed not representative of the daily
mean PAR0þ at any fixed station because they reflected
rapid variations in ice albedo and fog conditions as the
CCGS Amundsen traversed back and forth across the MIZ. 2.2. Satellite sea-ice concentration data sets The Green Edge expedition sampled seven transects across
the ice edge in southern Baffin Bay, north of the Davis
Strait (approximately at 70N and 60W) aboard the CCGS
Amundsen research icebreaker. Here we report measure-
ments from four East–West transects, named T4, T5, T6
and T7, sampled during the second leg of the cruise
between June 24 and July 10, 2016 (Figure 1). At each
station along a given transect, vertical profiles of water
column properties were measured down to at least 300
m using a sampling rosette with attached Seabird SBE-911
plus conductivity-temperature-depth (CTD) sensors, a Sea-
point chlorophyll fluorometer, and a WetLabs C-Star Sea-ice fractional coverage was retrieved from microwave
satellite sensors, and will be referred to as sea-ice concen-
tration (SIC) hereafter, following the conventional name of
the remote sensing products. Daily SIC images from the
Advanced Microwave Scanning Radiometer 2 (AMSR2) on
a 3.125-km grid (Spreen et al., 2008) were downloaded
from ttp://www.iup.uni-bremen.de:8084/amsr2data/asi_
daygrid_swath/n3125/ and used to describe ice dynamics
over the entire melt season in the Green Edge study area
(Figure 1). From this dataset, a SIC time series for each
station was extracted from the closest satellite pixel. Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 4 of 31 Table 1. Physical and biogeochemical characteristics of the stations across the ice edge, classified according to the open
water days (OWD) metric. DOI: https://doi.org/10.1525/elementa.2020.00113.t1 Table 1. Physical and biogeochemical characteristics of the stations across the ice edge, classified according to the open
water days (OWD) metric. Galı´ et al: DMS Emissions from the Arctic MIZ Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 5 of 31 Samples for DMS analysis were collected into 120-mL
precleaned borosilicate vials leaving no head space, allow-
ing some overflow and taking care to avoid bubbling. The
vials were filled using a precleaned silicone tube con-
nected to the Niskin bottle spigot, fitted with a 5-mm
Nitex mesh at its tip to gently screen out large phyto-
plankton cells and colonies (Kinsey et al., 2016). Occasion-
ally, additional vials were filled using a 100-mm mesh
Nylon screen to test for DMS measurement artifacts asso-
ciated with Phaeocystis cell breakage upon filtration. DMS
samples were stored in the dark at 4C and processed
within 2 h of collection. Processed DMSP samples were analyzed at Laval Uni-
versity (UL, Que´bec City) and at the State University of
New York, College of Environmental Science and Forestry
(SUNY-ESF, Syracuse, NY) within 30 months of collection. Storage tests confirmed the good preservation of samples
(>95% recovery), and excellent agreement between labo-
ratories was found (mean difference of 1.2 + 10%). At
both laboratories, DMSP was analyzed as DMS after stoi-
chiometric base (NaOH) cleavage. At UL, the evolved DMS
was analyzed in a GC-MS (GC: Agilent Intuvo 9000; MS:
Agilent 5977B), and peak areas determined with the Mas-
sHunter software were converted to concentration against
a 7-point calibration of a diluted DMSP standard solution
(R2 > 0.99; Lizotte et al., 2020). At SUNY-ESF, DMSP was
quantified following the procedure outlined in Kinsey and
Kieber (2016) on a Shimadzu GC-14A with flame photo-
metric detector. Further details on DMSP analysis are pro-
vided in Text S2. For DMS analysis, 10–20 mL were withdrawn from the
vial, spiked with a DMS-d6 internal standard (4.5 nM final
concentration), sparged with ultra high purity helium for
5 min and trapped in a glass tube filled with Tenax-TA
(kept below –10C) using a custom-made purge-and-trap
device (Gourdal et al., 2018). Trapped DMS was injected
into a gas chromatograph-mass spectrometer (GC-MS; GC:
Agilent 7890A; MS: Agilent 5975C) for quantification. The
GC-MS was calibrated at the beginning of each transect by
injections of DMS-d3 and DMS-d6 at 4–6 concentrations
ranging between 0.5 and 45 nM, and a single calibration
curve was used for the whole dataset (R2 of the log-log
linear calibration > 0.99). 2.5. Sea-air DMS flux (FDMS) calculation We estimated FDMS (mmol m–2 d–1) as the product of the
sea–air gas transfer coefficient (K), the DMS gradient
across the sea–air interface, and the ice-free water fraction
(1 – SIC): FDMS ¼ K DMSw DMSa
ð
Þ 1 SIC
ð
Þ:
ð1Þ ð1Þ K was computed using the wind speed–based gas
exchange parameterization of Woolf (1997) and Woolf
(2005), taking into account air- and water-side resistance
(1/K ¼ 1/ka þ 1/kw) and the effects of SST and salinity on
DMS diffusivity and solubility, and assuming DMSa ¼
DMSw/253 based on field measurements (Land et al.,
2014). Wind speed measurements were acquired at 1
min–1 frequency by the anemometer installed 16 m above
sea level on the ship’s meteorological tower (Burgers et al.,
2017), and converted to 10-m wind speeds according to
a standard wind profile for neutral atmospheric stability
(Hsu et al., 1994). At each station we calculated FDMS using
one single value for DMSw and SST and the 1 min–1 time
series of wind speed during the 24 h prior to sampling,
and then calculated the daily mean FDMS. The reader is
referred to Galı´ et al. (2019) for further details on gas
exchange calculations. Samples for DMSP analysis were collected in triplicate
and included a set of unfiltered samples for total DMSP
(DMSPt) and a second set of filtered samples for dissolved
DMSP (DMSPd). This sampling plan enabled the calcula-
tion of particulate DMSP (DMSPp) as DMSPt – DMSPd. Unfiltered seawater samples were collected into 20-mL
pre-cleaned borosilicate scintillation vials screw-capped
with a solid cap containing a Teflon-lined silicone insert. Samples were microwaved with the cap loosened, then
bubbled with purified air to remove DMS, acidified with
hydrochloric acid, and stored in the dark at room temper-
ature (Kinsey and Kieber, 2016). Filtered samples were
obtained by the small volume, gravity drip filtration
method (Kiene and Slezak, 2006) using prebaked
(550C, 8 h) 25-mm diameter glass fiber filters (Whatman
GF/F); samples were bubbled with purified air for several
minutes to remove DMS followed by addition of hydro-
chloric acid and storage at room temperature in the dark. Galı´ et al: DMS Emissions from the Arctic MIZ The peak areas of endogenous
DMS and internal standards, determined with the Mas-
sHunter software, were converted to concentrations after
correcting for blank signals and internal standards. No
analytical replicates were analyzed for the majority of the
samples. The mean propagated uncertainty of DMS mea-
surements was estimated at 10%, which includes the rep-
lication uncertainty estimated from duplicate analyses (n
¼ 16) and the calibration uncertainty. In addition, pre-
filtration tests suggested that DMS was 19% higher on
average (n ¼ 19) in samples filtered through a 100-mm
mesh, compared to their 5-mm-filtered counterparts. Although this test was statistically inconclusive, it indi-
cates the importance of sample pre-screening in the pres-
ence of Phaeocystis sp. (del Valle et al., 2009). Further
details regarding the analysis of DMS are provided in the
Supplemental Materials (Text S1). 2.4. DMS and DMSP sampling and analysis DMS and DMSP samples were collected during the morn-
ing CTD cast at 8 AM local time from 5 or 6 depths
between the surface and 100 m; additional samples were
taken occasionally from the CTD casts performed around
noon. At several intermediate hydrographic stations,
located between full stations, samples were collected only
from the surface (1 m) and the subsurface chlorophyll
maximum (SCM). The SCM depth was estimated from fluo-
rescence depth profiles. A total of 25 stations (Tables 1
and S1) and 35 CTD casts were sampled. 2.6. Phytoplankton pigments, abundance, carbon
pools, and DMSP-biomass Samples for phytoplankton pigment analyses were col-
lected from Niskin bottles on the CTD rosette. Up to 2.7
L of seawater were filtered on Whatman GF/F filters to
collect phytoplankton cells, and the filters contained in
cryotubes were stored in liquid nitrogen until analysis. Back on land, filters were soaked in 100% methanol, dis-
rupted by sonication, and the resulting solution of ex-
tracted pigments was clarified by filtration (GF/F) and
analyzed using High Performance Liquid Chromatography
(HPLC) on an Agilent Technologies HPLC 1200 system
equipped with a diode array detector (Ras et al., 2008). Based on multivariate analyses (see Section 2.8), we
selected the following pigments as predictors of dimethy-
lated sulfur compounds: total chlorophyll a (TChl a; Chl Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 6 of 31 a conservative conversion factor of 1.5 kg C (mol leu-
cine)–1 (Simon and Azam, 1989). a plus allomers and epimers), chlorophyll b (Chl b), chlo-
rophyll c2 (Chl c2; in practice, Chl c1þc2), chlorophyll c3
(Chl c3), fucoxanthin (Fuco), 190-hexanoyloxyfucoxanthin
(Hex-fuco), 190-butanoyloxyfucoxanthin (But-fuco), 190-
butanoyloxyfucoxanthin-like (But-fuco-like), peridinin
(Peri), prasinoxanthin (Pras), b-carotene (in practice, a þ
b-carotene; Ras et al., 2008), diadinoxanthin þ diatox-
anthin (DD), violaxanthin þ antheraxanthin þ zeaxanthin
(VAZ) and pheophorbide a (Pheo a). Pigments were
grouped as either chlorophylls, photosynthetic (light-har-
vesting) carotenoids (PSC), photoprotective carotenoids
(PPC) or degradation products (Table 2) and used as phys-
iological and taxonomic indicators. )
(
)
The functional genes dddP and dmdA, associated with
different DMSP catabolism pathways in bacteria, were
quantified by q-PCR following previously described proto-
cols (Levine et al., 2012; Zeng et al., 2016). Briefly, univer-
sal primers dddP_874F/971R and dmdA_282F/591R
were used to quantify dddP and dmdA, respectively. Quan-
tification was performed on an AriaMx (Agilent) using
SsoAdvanced Sybr Green universal supermix (BioRad). Triplicate seven-fold serially diluted standard curves, using
genomic DNA from a Phaeobacter sp. strain presenting
both genes (Genbank accession number MW504624; de-
tails will be provided elsewhere) was run on each plate. Controls with no DNA template were also run in triplicate
on each plate. Single amplifications were confirmed by
a melt curve for each analysis. At nine (of 25) stations, samples for identification and
counting of micro- and nanophytoplankton were taken at
the surface and at the depth of the fluorescence maxi-
mum, preserved in Lugol’s solution and kept at 4C. 2.8. Data analysis and statistics
f
d y
Metrics of ice cover and water mass origin were used to
depict variations along the horizontal sea-surface axis. We
calculated the number of open water days (OWD) at each
station using the time series of remotely sensed SIC. Pos-
itive OWD indicated the days elapsed since the station
became permanently ice-free (SIC < 15%), whereas nega-
tive OWD indicated the days remaining before permanent
ice opening (Randelhoff et al., 2019). Stations were classi-
fied into three categories according to SIC and OWD me-
trics (Tables 1 and S1). Ice-covered (ICE) stations were
defined by OWD < –3d, which generally corresponded
to SIC persistently higher than 85% during the 3 days
ending on the day of sampling. MIZ stations were defined
by –3d OWD 3d. Open water (OW) stations were
defined by OWD > 3, which corresponded to SIC persis-
tently below 15% during the 3 days ending on the day of
sampling. The abundances of phytoplankton cells were converted
to carbon biomass using allometric relationships
(Menden-Deuer and Lessard, 2000) and subsequently used
to estimate their contribution to the DMSPp stock using
literature values for the DMSP-carbon proportion of each
taxonomic group (Stefels et al., 2007). For this calculation
we assumed, based on measurements performed at sta-
tions 713 and 719, that DMSPp represented 90% of the
total DMSP at all stations. This result is consistent with
literature values (Kiene and Slezak, 2006; Kinsey et al.,
2016). We also made order-of-magnitude estimates for the
DMSPp bound to detrital particles, Phaeocystis colonies
and DMSP-producing bacteria. Further details are given
in Text S3 and Table S2. Water masses were depicted using the “Arctic N-P re-
lationship” (ANP), a tracer that distinguishes the nutrient
signature of Atlantic Water from that of the Pacific-derived
Arctic Water. Essentially, an ANP of zero means that the
NO3
––PO4
3– pairs fall on the regression line for Atlantic
Water, whereas for an ANP value of one they fall on the
regression line for Pacific-derived Water (Randelhoff et al.,
2019, and references therein). Stations were further clas-
sified into contiguous Arctic and Atlantic domains using
a fuzzy c-means clustering algorithm based on three vari-
ables: ANP at 20 m, maximum temperature in the Atlantic
Water layer, and salinity at the estimated winter convec-
tion depth (Randelhoff et al., 2019). Clustering coefficients
smaller (greater) than 0.4 were indicative of the Arctic
(Atlantic) domain. 2.6. Phytoplankton pigments, abundance, carbon
pools, and DMSP-biomass Cells
were counted under an inverted microscope after sedi-
mentation of 25–50 mL following standard procedures. In addition to traditional microscopy, an Imaging FlowCy-
tobot (IFCB; Olson and Sosik, 2007) was used to take
pictures of phytoplankton and fluorescing detritus, which
were subsequently sized, counted and identified with the
software EcoTaxa (https://ecotaxa.obs-vlfr.fr/) (Grondin,
2019). Eukaryotic picophytoplankton were enumerated
in live samples by flow cytometry (Accuri C6, Becton Dick-
inson) (Marie et al., 1999). 2.7. Bacterial abundance, production, and DMSP
catabolism genes Samples (1.5 mL) withdrawn from Niskin bottles were
preserved with glutaraldehyde (1% final concentration)
and stored at –80C. Bacterial abundances were deter-
mined on a flow cytometer (FACSCanto, BD Biosciences)
after SYBR1 Green I (ThermoFisher Scientific) staining as
described by Gasol and del Giorgio (2000). Bacterial pro-
duction rates were measured by [H3]-leucine incorpora-
tion (Smith and Azam, 1992). Triplicate 1.7-mL aliquots
were incubated in the dark with a mixture of 50/50 (v/
v) [H3]-leucine (Perkin Elmer) and nonradioactive leucine
for 4 h at in situ temperature (1.5C). Samples with 5%
trichloroacetic acid added prior to isotope addition served
as a control. Saturation and time-course experiments were
performed beforehand to determine the concentration of
leucine and minimum incubation time. Leucine incorpo-
ration was converted to carbon production using Along the vertical water-depth axis, the biogeochemical
setting was characterized using descriptors of vertical mix-
ing, light penetration, biological nutrient utilization and
phytoplankton biomass maxima. The mixed layer depth
was calculated as the shallowest depth where sigma-t ex-
ceeded by 0.03 kg m–3 the value at 1 m (MLD0.03). Ver-
tical mixing was also characterized using the “equivalent
mixed layer depth” hBD (Randelhoff et al., 2017). This met-
ric was developed for meltwater-influenced surface waters Art. 9(1) page 7 of 31 Galı´ et al: DMS Emissions from the Arctic MIZ Table 2. Spearman’s rank correlations between selected phytoplankton pigments and total carbon biomass proxied by
the beam attenuation coefficient (cp), DMSPt and DMS. DOI: https://doi.org/10.1525/elementa.2020.00113.t2 Table 2. Spearman’s rank correlations between selected phytoplankton pigments and total carbon biomass proxied by
the beam attenuation coefficient (cp), DMSPt and DMS. DOI: https://doi.org/10.1525/elementa.2020.00113.t2 Pigmentsa
Phytoplankton Classb
Correlation
Coefficientsc
cp
DMSPt
DMS
Chlorophylls
Total chlorophyll a (TChl a)
All
0.85
0.87
0.72
Chlorophyll b (Chl b)
Chlorophytes, prasinophytes, dinoflagellates
(type 5)
0.65
0.75
0.39
Chlorophyll c2 (Chl c2)
Diatoms, haptophytes (type-7), most dinoflagellates,
cryptophytes, chrysophytes, pelagophytes
0.79
0.79
0.68
Chlorophyll c3 (Chl c3)
Haptophytes, diatoms, dinoflagellates (type 2),
raphidophytes, dictyochophytes
0.45
0.50
0.32
Photosynthetic
carotenoids
(PSC)
Fucoxanthin (Fuco)
Diatoms, haptophytes, chrysophytes,
dinoflagellates (types 2–3)
0.69
0.68
0.64
190-
hexanoyloxyfucoxanthin
(Hex-fuco)
Haptophytes (type-7, e.g., Chrysochromulina spp.),
dinoflagellates (type 2)
0.60
0.75
0.39
190-butanoyloxyfucoxanthin
(But-fuco)
Haptophytes, chrysophytes, pelagophytes,
dinoflagellates (type 2)
0.53
0.59
0.36
190-
butanoyloxyfucoxanthin-
like (But-fuco-like)d
Haptophytes (type 8; e.g. 2.7. Bacterial abundance, production, and DMSP
catabolism genes Phaeocystis sp.)
0.53
0.53
0.54
Peridinin (Peri)
Dinoflagellates (type 1)
0.57
0.74
0.46
Alloxanthin (Allo)
Cryptophytes, dinoflagellates (type 4)
0.53
0.69
0.36
Prasinoxanthin (Pras)e
Prasinophytes (type 3)
0.60
0.71
0.39
Photoprotective
carotenoids
(PPC)
b carotenef
All except cryptophytes
0.84
0.90
0.71
Diadinoxanthin þ
Diatoxanthin (DD)
Diatoms, prymnesiophytes, dinoflagellates,
chrysophytes
0.65
0.77
0.50
Violaxanthin þ
Antheraxanthin þ
Zeaxanthin (VAZ)
Chlorophytes, chrysophytes, prasinophytes
0.47
0.73
0.31
Degradation
products
Pheophorbide a (Pheo a)
Protozoan fecal pellets
0.43
0.40
0.40
a Pigments are grouped according to functional and chemotaxonomic criteria following Zapata et al. (2004), Jeffrey et al. (2012),
Coupel et al (2015) and Schanke et al (2020) and their abbreviations follow the Scientific Council for Oceanic Research (Jeffrey et al a Pigments are grouped according to functional and chemotaxonomic criteria following Zapata et al. (2004), Jeffrey et al. (2012),
Coupel et al. (2015) and Schanke et al. (2020), and their abbreviations follow the Scientific Council for Oceanic Research (Jeffrey et al.,
2012). b For chlorophylls and PSC, major pigments of each algal class are indicated by highlighting the taxa in bold. b For chlorophylls and PSC, major pigments of each algal class are indicated by highlighting the taxa in bold. c All correlations are significant with P < 0.05, and bold face distinguishes correlations with P < 10–4. Sample sizes are 80–118, except
for But-fuco-like (n ¼ 58) and Peri (n ¼ 72). Underlining denotes pigments more closely associated to either DMSPt or DMS, whereas
no underlining indicates similarly strong association with both compounds, according to a redundancy analysis (Figure 2). c All correlations are significant with P < 0.05, and bold face distinguishes correlations with P < 10–4. Sample sizes are 80–118, except
for But-fuco-like (n ¼ 58) and Peri (n ¼ 72). Underlining denotes pigments more closely associated to either DMSPt or DMS, whereas
no underlining indicates similarly strong association with both compounds, according to a redundancy analysis (Figure 2). d A 190-butanoyloxyfucoxanthin-like pigment was found in Phaeocystis by Rowan (1989), and Zapata et al. (2004) reported the
occurrence of an unknown 190-butanoyloxyfucoxanthin-like pigment in haptophytes, characterized by absorption peaks shifted þ1
nm from those of 190-butanoyloxyfucoxanthin. d A 190-butanoyloxyfucoxanthin-like pigment was found in Phaeocystis by Rowan (1989), and Zapata et al. (2004) reported the
occurrence of an unknown 190-butanoyloxyfucoxanthin-like pigment in haptophytes, characterized by absorption peaks shifted þ1
nm from those of 190-butanoyloxyfucoxanthin. 2.9. Satellite-based estimates of DMS emission
from the MIZ (EDMS, MIZ) We computed pan-Arctic EDMS, MIZ as the product of MIZ
ice-free area, estimated from satellite images, and mean
FDMS per unit of ice-free ocean area in the MIZ, <FDMS>,
based on a compilation of in situ studies (Table 3). First,
pixels were flagged as MIZ or non-MIZ using the SIC time
series for each pixel (see below). Second, <FDMS> was mul-
tiplied by (1 – SIC) in flagged pixels to obtain maps of
FDMS, MIZ (8-day and 28-km resolution). Third, the resulting
flagged pixels were summed over 5 latitude bands
between 65N and 85N and over time to obtain annual
EDMS, MIZ estimates (Gg S y–1). ,
( g
y )
To obtain a plausible range for EDMS, MIZ, we used two
different criteria (“A” and “B”) for flagging pixels as MIZ. Both criteria rely on the date of permanent ice opening
calculated from daily SIC time series (Renaut et al., 2018),
but they differ in the duration of the MIZ period. In case A,
the MIZ period was defined as the 8 days that comprised
the ice opening date in a given pixel, and the correspond-
ing mean (median) SIC was 22% (21%) at pan-Arctic scale. These two metrics (MIZ duration and corresponding ice
cover) compare well with those observed during our study
(Table 1). However, we observed that in certain areas SIC
had decreased below 85% several days before permanent
ice breakup. To account for the corresponding DMS emis-
sions, in case B the duration of the MIZ period was defined
by a backward search starting with the ice opening 8-day
period and ending when SIC exceeded 85%, but never
exceeding 32 days (to ensure that only the melt period
was included). The mean (median) duration in case B was
16 (12) days, and the corresponding mean (median) SIC
during the MIZ period was 36% (42%) at the pan-Arctic
scale. Thus, case B allowed for geographic and interannual
variations in MIZ duration, reflecting different ice-edge
dynamics. )
Data analyses were performed with Matlab (R2013b),
python (3.6) and R (3.3.3; R Core Team, 2017) software. Prior to computing statistics and multivariate analyses,
we tested variables for normality with the Shapiro–Wilk
test. Given that none of the biogeochemical variables
were normally distributed, here we generally report non-
parametric statistics: median, interquartile range (IQR)
and Spearman’s rank correlation coefficient (rS). Reference (Region) 2.3 (0.2–6.0), n ¼ 10
7.3 (1.1–17.1), n ¼ 13
10.0 (1.7–25.7), n ¼ 12 a FDMS reported here were not corrected by the fraction of ice-free water surface (1 – SIC). The effect of sea ice is factored in afterward,
using satellite-observed SIC (Section 2 9) a FDMS reported here were not corrected by the fraction of ice-free water surface (1 – SIC). The effect of sea ice is factored in afterward,
using satellite-observed SIC (Section 2.9). c Continuous underway measurements; sample size cannot be compared to other studies. equations linking DMSPt, DMS and FDMS to their main
environmental drivers. Further details on multivariate
analysis are provided in Text S4. biomass maximum (SBM) was estimated from cp profiles
smoothed with a 5-point running mean to remove spikes. To describe biogeochemical patterns along the hori-
zontal and vertical dimensions, we calculated median
profiles of selected variables for the three OWD cate-
gories (ICE, MIZ, and OW) after additional binning of
the measurements into four depth (z) layers: z 9, 9 <
z 21, 21 < z 41 and 41 < z 81 m. Vertically
integrated stocks were also calculated for variables mea-
sured from CTD casts (cp) and discrete Niskin bottle
profiles (DMS, DMSPt, pigments). To this end, profiles
were first binned (cp) or interpolated (Niskin bottle vari-
ables) to 1-m resolution between the surface and 100
m. Discrete Niskin bottle profiles were closed by impos-
ing a concentration of 0 at 100 m. Profiles were inte-
grated by summation between 0 and 60 m, a range that
comprised most of the phytoplankton and dimethylated
sulfur stocks and sufficient discrete measurements (pro-
files with n < 4 between 0–60 m depth were not
considered). 2.7. Bacterial abundance, production, and DMSP
catabolism genes The effect of sea ice is factored in afterward,
using satellite-observed SIC (Section 2.9). b Not available. c Continuous underway measurements; sample size cannot be compared to other studies. 2.7. Bacterial abundance, production, and DMSP
catabolism genes remely similar correlations were found for neoxanthin, which occurs in chlorophytes and prasinophytes. e Extremely similar correlations were found for neoxanthin, which occurs in chlorophytes and prasinophytes. e Extremely similar correlations were found for neoxanthin, which occurs in chlorophytes and pr f Includes a þ b carotene because of challenges in quantifying them separately, but a carotene is assumed to occur at much lower
concentration (e.g., Ras et al., 2008). f Includes a þ b carotene because of challenges in quantifying them separately, but a carotene is assumed to occur at much lower
concentration (e.g., Ras et al., 2008). referred to as the 0.415 isolume (Letelier et al., 2004). The
nitracline depth was defined as the shallowest depth
where nitrate concentration exceeded 1 mM, based on
a linear interpolation of discrete nutrient measurements
to a vertical spacing of 1 m. The depth of the subsurface in the MIZ and found to constrain the extent of vertical
mixing better than criteria based on density or tempera-
ture thresholds (Randelhoff et al., 2019). The lower depth
limit of phytoplankton growth was estimated as the depth
where daily PAR was 0.415 mol photons m–2 d–1, here Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 8 of 31 Art. 9(1) page 8 of 31 Table 3. Compilation of means (and ranges) of sea–air DMS flux (FDMS) estimatesa (mmol m–2 d–1) in the Arctic sorted by
ice-cover categories. DOI: https://doi.org/10.1525/elementa.2020.00113.t3 Reference (Region)
Ice-Cover Category
ICE
MIZ
OW
Matrai and Vernet (1997; Barents Sea)
n.a.b
17 (6–33), n ¼ 3
33, n ¼ 1
Galı´ and Simo´ (2010; Greenland Sea, Fram Strait)
n.a. 6.5 (0.5–22.5), n ¼10
n.a. Jarnı´kova´ et al. (2018; Baffin Bay, Canadian Arctic
Archipelago)c
n.a. (<1–20)
(<1–80)
This study (Baffin Bay)
2.3 (0.2–6.0), n ¼ 10
7.3 (1.1–17.1), n ¼ 13
10.0 (1.7–25.7), n ¼ 12 Reference (Region)
Ice-Cover Category
ICE
MIZ
OW
Matrai and Vernet (1997; Barents Sea)
n.a.b
17 (6–33), n ¼ 3
33, n ¼ 1
Galı´ and Simo´ (2010; Greenland Sea, Fram Strait)
n.a. 6.5 (0.5–22.5), n ¼10
n.a. Jarnı´kova´ et al. (2018; Baffin Bay, Canadian Arctic
Archipelago)c
n.a. (<1–20)
(<1–80)
This study (Baffin Bay)
2.3 (0.2–6.0), n ¼ 10
7.3 (1.1–17.1), n ¼ 13
10.0 (1.7–25.7), n ¼ 12
a FDMS reported here were not corrected by the fraction of ice-free water surface (1 – SIC). 3. Results stages of development in ice-covered western stations, as
indicated by the near-surface nitracline and shallow SBM
depths (Table 1; Figure 3). At the eastern side, the phy-
toplankton bloom had further developed into a mature or
even post-bloom stage with considerable nutrient deple-
tion at the time of sampling, causing a deepening of the
nitracline to around 20 m (T4–T6) or even 40 m (T7). The
0.415 mE m–2 d–1 isolume was deeper than the nitracline
regardless of ice cover and surface plankton biomass
(Figure 3), resulting in the formation of a prominent SBM
between 10 and 40 m at some eastern-side stations. 3.1. Oceanographic and biogeochemical setting
Transect hydrography was characterized by east–west gra-
dients in water masses and gradual ice retreat (Figure 1;
Table 1). At the eastern end of the station grid, close to
the West Greenland shelf, the clear signature of warm
Atlantic-derived water flowing in through the Davis Strait
was observed. The western end was influenced by less
dense and colder waters of Pacific origin coming from the
Canadian Archipelago (Tang et al., 2004). Consequently,
ice retreat started in the east, with the ice edge steadily
moving west at around 4 km d–1. This retreat led to a par-
allel gradient in surface layer properties: eastern stations
had sea-ice concentrations at or close to 0%, and near-
surface layer (<50 m) hydrography showed substantial
surface warming, whereas western stations were mostly
ice-covered and showed no surface warming (Randelhoff
et al., 2019). The Atlantic- and Pacific-derived water masses
also had distinct nutrient signatures. In the west, the pre-
bloom nutrient supply was restricted by the lower nutri-
ent concentrations characteristic of the Arctic outflow and
the strong stratification in the upper 200 m of the water
column. Distinct phytoplankton communities were found
across the ice-edge transects, with biomass usually domi-
nated by diatoms (Lafond et al., 2019). Pennate diatoms
(Fragilariopsis spp., Pseudo-nitzschia spp., Ceratoneis clos-
terium) were numerically dominant in the western side,
whereas colonial centric diatoms (Thalassiosira spp., Chae-
toceros spp.) dominated in the eastern side. Due to their
larger biovolume, centric diatoms generally dominated
phytoplankton biomass (accompanied by the ice diatom
Melosira arctica and its spores at some MIZ stations). The
haptophyte Phaeocystis pouchetii was present at back-
ground levels at different bloom stages, with a median
abundance of 1.7105 solitary cells L–1. 2.9. Satellite-based estimates of DMS emission
from the MIZ (EDMS, MIZ) How-
ever, in some instances we also report parametric statis-
tics because they convey complementary information. In
particular, means rather than medians are used to esti-
mate fluxes at large scales because they include the
effect of extreme values (see next section), and Pearson
correlations (rP) are used to evaluate linearity. We per-
formed a redundancy analysis (RDA) with variance parti-
tioning (Borcard et al., 2011; Oksanen et al., 2019; R
package vegan) to depict the correlation structure
between sulfur compounds and two sets of predictors
simultaneously: physical variables and phytoplankton
pigments. Finally, we used multiple linear regression
with stepwise variable selection to develop empirical Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 9 of 31 Figure 2. Redundacy analysis (RDA) between dimethylated sulfur compounds and two different sets of predictor
variables. Variance partitioning plot (top), RDA triplot with physical variables only (bottom left), and RDA triplot
with phytoplankton pigments only (bottom right). In the bottom plots, dots correspond to individual samples colored
according to the OWD classification as in previous figures (blue for ICE, green for MIZ, orange for OW); samples with
either DMS > 20 nM or DMSPt > 200 nM are identified (station_depth). DOI: https://doi.org/10.1525/
elementa.2020.00113.f2 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 0 Figure 2. Redundacy analysis (RDA) between dimethylated sulfur compounds and two different sets of predictor
variables. Variance partitioning plot (top), RDA triplot with physical variables only (bottom left), and RDA triplot
with phytoplankton pigments only (bottom right). In the bottom plots, dots correspond to individual samples colored
according to the OWD classification as in previous figures (blue for ICE, green for MIZ, orange for OW); samples with
either DMS > 20 nM or DMSPt > 200 nM are identified (station_depth). DOI: https://doi.org/10.1525/
elementa.2020.00113.f2 3. Results Yet, this species
formed massive proliferations below the pycnocline at
some ice-free stations along the eastern side (stations The development of the phytoplankton bloom tracked
the east–west gradient in ice retreat and water mass dis-
tribution. Overall, phytoplankton growth was in the early Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 10 of 31 -62
-61
-60
-59
-58
Longitude
60
40
20
0
Depth (m)
hBD
Isolume
NO3-cline
SBM
0
5
10
15
20
0
100
200
-20
400
-17
403
-15
406
-16
409
-8
412
-6
413
21
418
0
100
Ice (%)
-64
-63
-62
-61
-60
-59
80
60
40
20
0
Depth (m)
0
10
20
30
40
DMS (nM)
0
100
200
300
DMSPt (nM)
-11
600
-2
603
2
604.5
-1
605
8
608
9
612
13
615
Open Water Days
Arctic Atlantic
0
100
Ice (%)
-62
-61
-60
-59
60
40
20
0
Depth (m)
0
20
40
60
0
200
400
600
-3
519
-2
515
2
512
3
507
17
506
0
100
Ice (%)
-63
-62
-61
-60
-59
-58
80
60
40
20
0
Depth (m)
0
5
10
0
50
100
150
200
-4
719
3
716
5
713
9
707
20
703
32
700
0
100
Ice (%)
a) T6 (70.5°N)
b) T5 (70°N)
c) T7 (69.5°N)
d) T4 (68°N)
Open Water Days
Open Water Days
Open Water Days
e 3. Vertical profiles of DMS and DMSPt and their physicochemical context. Transects are ordered by latitu
h transect, the vertical and horizontal variability of DMS and DMSPt is illustrated with four similarly org
ts. The left bubble plots show depth-longitude transects of DMS (filled circles) and total DMSPt (empty
h black outlines). The area of the circles is proportional to the concentration; the DMSPt circles are scaled t
0.10 proportion (i.e., DMS and DMSPt have the same circle radius when DMS:DMSPt ¼ 0.10 in a given sa
superimposed lines indicate the depths of the equivalent mixed layer (hBD), the PAR isolume of 0.41
tons m–2 d–1, the nitracline, and the subsurface biomass maximum (see text for definitions). 3. Results Other taxa that made
smaller but relevant contributions to phytoplankton bio-
mass were haptophytes of the genus Chrysochromulina,
athecate dinoflagellates of the genera Gymnodinium and
Gyrodinium (more abundant in the eastern side), crypto-
phytes, chrysophytes, prasinophytes (Pyramimonas sp. and
likely Micromonas sp.), dictyochophytes, and unidentified
autotrophic nanoflagellates (see abundances in Figure S1). Median DMSPt profiles were remarkably similar at ICE and
MIZ stations, with highest concentrations at the surface
(around 70 nM) and a sharp decrease with depth that
approximately followed planktonic biomass (as depicted
by cp). Median DMSPt profiles at OW stations differed
slightly from this pattern, with decreased concentrations
in the surface layer and increased concentrations between
10 and 41 m, indicating that subsurface DMSPt maxima
became more widespread with bloom progression. Median DMS profiles showed some distinct features com-
pared to those of DMSPt: (1) a less pronounced decrease
with depth at ICE stations, (2) a marked peak in median
DMS concentration (12 nM) at the MIZ, and (3) a general
increase throughout the water column at OW stations. Differences in plankton community functioning were
also observed across the ice edge. Concomitant with the
more advanced phytoplankton bloom stages, the ice-free,
eastern-side stations with Atlantic influence were charac-
terized by increased organic carbon recycling via the
microbial loop (bacteria and microzooplankton; Saint-Be´at
et al., 2020). These stations generally displayed higher
bacterial abundances and production (Figure S2), and
hosted greater relative abundances of copiotrophic bacte-
rial taxa (bloomers) like Rhodobacteraceae (a-proteobac-
teria) and Polaribacter (Bacteroidetes) and lower relative
abundances of oligotrophic taxa like SAR11 (a-proteobac-
teria; J Dinasquet, unpublished data). g
Further insights were obtained by plotting the concen-
trations ofplanktonic biomass and sulfur compounds along
a continuous OWD axis (Figure 5).The highest near-surface
DMS concentrations were generally observed between –3
and 9 OWD, and concentrations exceeding 10 nM were
found in both Arctic- and Atlantic-influenced stations. Ver-
tically integrated stocks of DMSPt and DMS peaked slightly
later, between 2 and 13 OWD. At ICE stations, vertically
integrated DMSPt and DMS showed little variability in both
the Arctic (Pacific-influenced) or Atlantic domains. Con-
versely, at MIZ and OW stations the largest vertically inte-
grated stocks of DMSPt (up to 8 mmol m–2) and DMS (up to
1.4 mmol m–2) were invariably found in the Atlantic-
influenced stations. 3.2. Spatiotemporal patterns of DMSPt and DMS 3.2. Spatiotemporal patterns of DMSPt and DMS
Concentrations of dimethylated sulfur compounds were
usually highest in the surface layer (0–9 m), with median
DMSPt and DMS concentrations of 70 and 6.3 nM, respec-
tively. However, marked subsurface concentration maxima
occurred between 10 and 30 m at some stations, and
important horizontal variability and gradients were found
across the four transects sampled (T4–T7), as depicted in
detail in Figure 3. The earliest and southernmost transect,
T4 (68N), had the heaviest ice cover and the lowest DMS
(<2.5 nM) and DMSPt (<90 nM) concentrations among all
transects, with the stark exception of its westernmost sta-
tion (400), where high DMSPt (255 nM) and DMS (22 nM)
were measured just beneath the sea ice. In contrast with
T4, the northernmost transects T5 (70N) and T6 (70.5N),
which covered mostly the MIZ, showed the highest DMSPt
and DMS concentrations throughout the water column. Within T5 and T6, prominent subsurface maxima were
observed at 15 m at station 512 in the MIZ (524 nM
DMSPt; 74 nM DMS), at 30 m at station 615 in the OW
(159 nM DMSPt; 45 nM DMS) and at 20 m at station 612
(302 nM DMSPt; no marked DMS maximum). Transect T7
(69.5N) was sampled mostly during OW conditions
except for its western end. This transect showed interme-
diate DMS (<12 nM) and DMSPt (<150 nM) concentrations
and no prominent subsurface features. The analyses shown in Figures 4 and 5 offer comple-
mentary views of how physical and biological processes
shaped DMSPt and DMS concentrations over the horizon-
tal and vertical axes. To further understand how these
processes differently shaped sulfur compound distribu-
tions, we performed an RDA with variance partitioning
(Figure 2). Physical variables and phytoplankton pigments
explained, jointly, 78% of the variance in DMS and DMSPt
concentrations in log10 space, and the total variance was
partitioned as follows: 57% explained only by pigments,
21% explained jointly by pigments and physical variables,
and 1% explained only by physical variables. The first axis
of the physics RDA explained 25% of the log10-variance of
sulfur compounds and accounted for the vertical variation
in PAR and salinity, whereas the first axis of the pigments
RDA explained 75% of the log10-variance of sulfur com-
pounds and accounted for phytoplankton biomass. 3. Results Large vertically integrated stocks were
associated with sharp subsurface biomass maxima at sta-
tions 512 and 615, but not at stations 507, 707 and 713. Potentially different temporal evolutions of DMSPt and
DMS in the Arctic versus Atlantic domains (e.g., Saint-Be´at
et al., 2020) could not be resolved statistically owing to
limited spatiotemporal coverage. Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 0 3. Results The plots hBD
Isolume
NO3-cline
SBM
-64
-63
-62
-61
-60
-59
80
60
40
20
0
Depth (m)
0
10
20
30
40
DMS (nM)
0
100
200
300
DMSPt (nM)
-11
600
-2
603
2
604.5
-1
605
8
608
9
612
13
615
Open Water Days
Arctic Atlantic
0
100
Ice (%)
17
100
)
a) T6 (70.5°N)
b) T5 (70°N)
Open Water Days Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 0 0
5
10
0
50
100
150
200
d) T4 (68°N)
n Water Days -62
-61
-60
-59
-58
Longitude
60
40
20
0
Depth (m)
0
5
10
15
20
0
100
200
-20
400
-17
403
-15
406
-16
409
-8
412
-6
413
21
418
0
100
Ice (%)
-63
-62
-61
-60
-59
-58
d) T4 (68°N)
Open Water Days Figure 3. Vertical profiles of DMS and DMSPt and their physicochemical context. Transects are ordered by latitude. For
each transect, the vertical and horizontal variability of DMS and DMSPt is illustrated with four similarly organized
plots. The left bubble plots show depth-longitude transects of DMS (filled circles) and total DMSPt (empty circles
with black outlines). The area of the circles is proportional to the concentration; the DMSPt circles are scaled to DMS
in a 0.10 proportion (i.e., DMS and DMSPt have the same circle radius when DMS:DMSPt ¼ 0.10 in a given sample). The superimposed lines indicate the depths of the equivalent mixed layer (hBD), the PAR isolume of 0.415 mol
photons m–2 d–1, the nitracline, and the subsurface biomass maximum (see text for definitions). The plots above Art. 9(1) page 11 of 31 Galı´ et al: DMS Emissions from the Arctic MIZ 512 and 615), either dominating phytoplankton biomass
(station 615; 6.6106 cells L–1) or co-dominating with dia-
toms (station 512; 1.2107 cells L–1). Other taxa that made
smaller but relevant contributions to phytoplankton bio-
mass were haptophytes of the genus Chrysochromulina,
athecate dinoflagellates of the genera Gymnodinium and
Gyrodinium (more abundant in the eastern side), crypto-
phytes, chrysophytes, prasinophytes (Pyramimonas sp. and
likely Micromonas sp.), dictyochophytes, and unidentified
autotrophic nanoflagellates (see abundances in Figure S1). 512 and 615), either dominating phytoplankton biomass
(station 615; 6.6106 cells L–1) or co-dominating with dia-
toms (station 512; 1.2107 cells L–1). 3.2. Spatiotemporal patterns of DMSPt and DMS These
results indicate that bloom dynamics (i.e., phytoplankton Grouping the DMSPt and DMS profiles by ice-cover
categories (Figure 4) revealed some general patterns. the bubble plots depict the percent sea-ice coverage on the day of sampling (gray bars) and corresponding open water
days (black line and numbers). Filled circles distinguish stations classified as MIZ; vertical dashed lines separate Arctic
and Atlantic domains (see text). The center and right plots show DMS and DMSPt vertical profiles, respectively. For all
transects, each station is distinguished with a different color in the bubble and profile plots. No scale is given for DMS
and DMSPt concentrations in the bubble plots, as concentrations can be seen in the profile plots. DOI: https://
doi.org/10.1525/elementa.2020.00113.f3 Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 12 of 31 Figure 4. Median vertical profiles grouped according to ice cover and binned into 4 depth horizons. (a) Total chlorophyll
a; (b) beam attenuation; (c) total DMSP; (d) DMS; (e) chlorophyll c3; (f) 19-butanoyloxyfucoxanthin-like; (g) 19-
hexanoyloxyfucoxanthin; (h) pheophorbide a; (i) temperature; (j) Brunt-Va¨isa¨la¨ (buoyancy) frequency; (k) Arctic N-P
relationship (unitless); (l) photosynthetically active radiation. Note that the near-surface sample at station 400 was
removed
owing
to
suspected
influence
of
ice-derived
materials. DOI:
https://doi.org/10.1525/
elementa.2020.00113.f4 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 April 2022 oaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 April 2022 Figure 4. Median vertical profiles grouped according to ice cover and binned into 4 depth horizons. (a) Total chlorophyll
a; (b) beam attenuation; (c) total DMSP; (d) DMS; (e) chlorophyll c3; (f) 19-butanoyloxyfucoxanthin-like; (g) 19-
hexanoyloxyfucoxanthin; (h) pheophorbide a; (i) temperature; (j) Brunt-Va¨isa¨la¨ (buoyancy) frequency; (k) Arctic N-P
relationship (unitless); (l) photosynthetically active radiation. Note that the near-surface sample at station 400 was
removed
owing
to
suspected
influence
of
ice-derived
materials. DOI:
https://doi.org/10.1525/
elementa.2020.00113.f4 3.3. Biogeochemical factors affecting DMSPt
concentrations 3.3. Biogeochemical factors affecting DMSPt
concentrations Vertical integrals correspond to (a)
beam attenuation at 650 nm (cp), a proxy of particulate organic carbon; (b) total chlorophyll a (TChla a); (c) total DMSP
(DMSPt); and (d) DMS. Panel (e) shows the mean near-surface (0–5 m) DMS concentration, and panel (f) the sea–air
DMS flux. Station numbers are reported to the right of each symbol for data points above the first tercile (to avoid
clutter). DOI: https://doi.org/10.1525/elementa.2020.00113.f5 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 April 2022 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 0 Figure 5. Evolution of biological stocks and sea–air DMS fluxes across the ice edge. Stations are classified into ice-cover
categories, defined by open water days (OWD), and Arctic versus Atlantic domains. Vertical integrals correspond to (a)
beam attenuation at 650 nm (cp), a proxy of particulate organic carbon; (b) total chlorophyll a (TChla a); (c) total DMSP
(DMSPt); and (d) DMS. Panel (e) shows the mean near-surface (0–5 m) DMS concentration, and panel (f) the sea–air
DMS flux. Station numbers are reported to the right of each symbol for data points above the first tercile (to avoid
clutter). DOI: https://doi.org/10.1525/elementa.2020.00113.f5 layers, DMSPt:TChl a ratios decreased to around 40 nmol
mg–1. The higher DMSPt:TChl a ratios found closer to the
surface and especially in OW can be attributed, at least
partially, to the reduction of phytoplankton TChl a content
caused by photoacclimation to high PAR (Figure 4l; see
also Figure 8b, k, and l). layers, DMSPt:TChl a ratios decreased to around 40 nmol
mg–1. The higher DMSPt:TChl a ratios found closer to the
surface and especially in OW can be attributed, at least
partially, to the reduction of phytoplankton TChl a content
caused by photoacclimation to high PAR (Figure 4l; see
also Figure 8b, k, and l). correlations were found for pennate diatoms at the near-
surface and for centric diatoms in both the SCM and sur-
face layers. Diatoms (pennate þ centric) were likely the
main DMSP producers in some samples with moderately
high DMSPt (72–94 nM) in the MIZ, such as in the surface
and SCM at station 507 (up to 80% of DMSPp) and the
surface at station 512 (up to 30% of DMSPp). In the re-
maining samples, diatoms accounted for around 3% of
the DMSPp (Figure S3; Text S3). 3.3. Biogeochemical factors affecting DMSPt
concentrations Median Fuco:TChl a ratios
in the top 21 m were highest in the MIZ, probably indic-
ative of enhanced diatom biomass (Coupel et al., 2015),
supporting the important role of diatoms as DMSP produ-
cers in shallow MIZ waters. Phytoplankton cell counts, available at nine stations,
revealed a strong positive correlation between DMSPt and
the abundance of Phaeocystis pouchetii solitary cells (rS ¼
0.82; P < 0.05; rP ¼ 0.94; P < 10–3; Figure 7a) at the SCM. The biomass of single-celled Phaeocystis pouchetii ac-
counted for up to 46% of the DMSPp (159 nM DMSPt)
in the SCM at the OW station 615, and 24% (524 nM
DMSPt) at the MIZ station 512. For all remaining available
samples, solitary Phaeocystis accounted for <17% and
<7% of the DMSPp at the SCM and the sea surface, respec-
tively (Figure S3; Text S3). Prominent subsurface DMSPt
peaks in the MIZ and OW stations co-occurred with ele-
vated concentrations of Chl c3 and a But-fuco-like pig-
ment. Chlorophyll c3 was identified by Lafond et al. (2019) as a diagnostic compound for Phaeocystis pouchetii
in the Green Edge cruise. The But-fuco-like pigment,
which occurred at lower concentrations, was suggested
as a marker for Phaeocystis pouchetii (Rowan, 1989) or,
more broadly, type-8 haptophytes (Zapata et al., 2004). Although both pigments peaked in the 21–41 m layer,
they showed different distributions (Figure 4e and f) and
ratios to TChl a (Figure 8e and f) across the ice edge (see
next section). Concentrations of DMSPt were also signifi-
cantly correlated to the abundance of pennate diatoms at
the SCM (rP ¼ 0.85; P < 0.01; rS ¼ 0.62; P < 0.10). Weaker Whereas evidence suggests that Phaeocystis and dia-
toms dominated the DMSPp stock in high-biomass sam-
ples, other taxa were dominant DMSPp producers in
samples with moderate-to-low biomass (Figure S3), which
was especially true of dinoflagellates. Athecate dinoflagel-
lates of the Gyrodinium/Gymnodinium complex contrib-
uted 30%–50% of the DMSPp at the SCM at stations
605, 707, 713, and 719. In addition, a moderate correla-
tion was also found between DMSPt and peridinin (Table
2; Figure 2), a marker for some DMSP-rich dinoflagellates
(Caruana and Malin, 2014) that reached its highest con-
centrations in subsurface waters at the ICE and OW sta-
tions (Figure 4g). However, the athecate dinoflagellates
that dominated microscopic counts lacked peridinin,
pointing to the role of other, unidentified dinoflagellates. 3.3. Biogeochemical factors affecting DMSPt
concentrations and their covariates) exerted proximate control on the
sulfur compounds. The RDA also showed that phytoplank-
ton pigments, with the exception of TChl a and DD, clus-
tered with either DMS or DMSPt, suggesting that different
taxonomic groups (or their biogeochemical covariates)
influenced DMS and DMSPt differently. DMSPt concentrations were strongly correlated to cp,
a proxy of POC and phytoplankton biomass in the eupho-
tic layer, which explained 56% of the DMSPt variance
(Figure 6a). A slightly lower fraction of the DMSPt vari-
ance, 52%, was explained by TChl a (which, indeed, was
highly redundant with cp; Table 2). Up to 80% of the
DMSPt variance was explained by an optimal linear regres-
sion model that used as predictors five photosynthetic
pigments of different taxonomic specificity plus photopro-
tective b carotene (Text S4.2). The DMSPt:cp ratio changed
little across the ice edge or along the vertical profiles
(Figure 8a), except for the high median ratio observed
in subsurface waters at the OW stations, driven by high
Phaeocystis pouchetii biomass. Compared to DMSPt:cp,
median DMSPt:TChl a ratios showed greater vertical vari-
ation. In the top 21 m, median DMSPt:TChl a ratios were
around 60 nmol mg–1 at MIZ and ICE stations and 120
nmol mg–1 at the OW stations (Figure 8b). In deeper In the following two sections, we analyze in greater
detail the biogeochemical factors that affect DMSPt (Sec-
tion 3.3) and DMS (Section 3.4). This detailed analysis
relies mostly on: (1) the correlation patterns among phy-
toplankton pigments, biomass, and sulfur compounds
(Table 2; Figures 2, 6, and 7); (2) the distributions of the
different variables (Figure 4) and their ratios (Figure 8)
along the vertical profiles and across the ice edge; and (3)
the vertical profiles of bacterial sulfur metabolism genes
in the MIZ (Figure 9). Further analyses are presented in
the supplemental materials, namely: DMSP partitioning
among phytoplankton groups and other compartments
(Text S3) and stepwise multiple linear regressions (Text
S4.2 and Table S3). Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 13 of 31 Figure 5. Evolution of biological stocks and sea–air DMS fluxes across the ice edge. Stations are classified into ice-cover
categories, defined by open water days (OWD), and Arctic versus Atlantic domains. 3.3. Biogeochemical factors affecting DMSPt
concentrations Photosynthetic pico- and nanoeukaryotes contributed
around 10–20% of the DMSPp in some low-biomass sam-
ples. Some of them could be identified as chrysophytes Art. 9(1) page 14 of 31 Galı´ et al: DMS Emissions from the Arctic MIZ Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 April 2022 Figure 6. Scatterplots of (a) DMSPt versus cp and (b) DMS versus DMSPt. Points are colored by ice-cover categories, and
symbols represent depth intervals (in meters). Outliers, defined as points beyond the first or third quartile + 1.5 times
the interquartile range, are highlighted with outer black lines and annotated with station numbers. Reference straight
lines on the background mark different values of the y/x ratio (gray) and the median y/x ratio (black). Pearson and
Spearman correlations (rp and rs; untransformed data) and sample sizes (n) are also shown. DOI: https://doi.org/
10.1525/elementa.2020.00113.f6 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by gue Figure 6. Scatterplots of (a) DMSPt versus cp and (b) DMS versus DMSPt. Points are colored by ice-cover categories, and
symbols represent depth intervals (in meters). Outliers, defined as points beyond the first or third quartile + 1.5 times
the interquartile range, are highlighted with outer black lines and annotated with station numbers. Reference straight
lines on the background mark different values of the y/x ratio (gray) and the median y/x ratio (black). Pearson and
Spearman correlations (rp and rs; untransformed data) and sample sizes (n) are also shown. DOI: https://doi.org/
10.1525/elementa.2020.00113.f6 and prasinophytes (Pyramimonas sp. and likely Micromo-
nas sp.), and pigments characteristic of these groups (Chl
b, But-fuco, Pras, and photoprotective VAZ pigments) clus-
tered together in the RDA along with the cryptophyte-
specific alloxanthin (Figure 2). Pico- and nano-sized hap-
tophytes other than Phaeocystis likely contributed signifi-
cantly to the DMSP pool in low-biomass conditions, as
supported by the close association between Hex-fuco and
DMSPt (Table 2; Figure 2) and the high median Hex-
fuco:TChl a and DMSPt:TChl a ratios in the top 21 m in
the OW (Figure 8b and g). Figure 7. Relationships between Phaeocystis abundance
and sulfur compounds in the near-surface and SCM
layers. Phaeocystis pouchetii solitary cell abundance
plotted against the concentration of (a) DMSPt and (b)
DMS; the color scale depicts the mean daily irradiance,
distinguishing near-surface and SCM samples. Spearman
rank correlations for each sample subset are also shown. 3.3. Biogeochemical factors affecting DMSPt
concentrations DOI: https://doi.org/10.1525/elementa.2020.00113.f7 The mosaic of different phytoplankton classes with con-
trasting intracellular DMSP concentrations resulted in lim-
ited spatiotemporal variability of the median DMSPt:cp ratio
(Figures 6a and 8a). Positive outliers in the DMSPt versus
cp scatterplot were found at the subsurface of the OW sta-
tions 612 and 615, concurrent with very high Phaeocystis
pouchetii biomass, and just beneath the ice at station 400,
probably indicating the release of bottom-ice biomass. Tak-
ing advantage of the linear relationship between cp and
POC, we estimated that DMSPp-carbon (CDMSPp) accounted
for a median of 2.5% of the POC (IQR of 1.8–3.4%). Exclud-
ing an outlier (station 400 near-surface), the CDMSPp:POC
fraction ranged approximately between 1 and 10%, which
is entirely compatible with mixed phytoplankton popula-
tions of high and low DMSP producers (Stefels et al., 2007). Indeed, this range must also encompass the DMSP bound to
bacteria, detritus and zooplankton. Figure 7. Relationships between Phaeocystis abundance
and sulfur compounds in the near-surface and SCM
layers. Phaeocystis pouchetii solitary cell abundance
plotted against the concentration of (a) DMSPt and (b)
DMS; the color scale depicts the mean daily irradiance,
distinguishing near-surface and SCM samples. Spearman
rank correlations for each sample subset are also shown. DOI: https://doi.org/10.1525/elementa.2020.00113.f7 Our DMSP partitioning model was only partly success-
ful at accounting for the totality of DMSPp. Whereas, on
average, we could account for 77%–99% of the DMSPp at Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 15 of 31 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 April 2022 Figure 8. Vertical profiles of various median concentration ratios by ice cover and depth horizon. (a) DMSPt:cp, a proxy
for DMSPt:POC; (b) DMSPt:TChl a; (c) DMS:DMSPt; (d) pheophorbide a to TChl a ratio, a proxy for phytodetritus
degradation linked to grazing activity; (e) Chl c3:TChl a, a proxy for Phaeocystis pouchetii relative abundance; (f) 190-
butanoyloxyfucoxanthin-like to TChl a ratio, a putative proxy for Phaeocystis pouchetii; (g) 190-
hexanoyloxyfucoxanthin to TChl a ratio (haptophytes and dinoflagellates); (h) peridinin:TChl a (type-1
dinoflagellates); (i) Chl c2:TChl a (chryso- and pelagophytes and other groups); fucoxanthin to TChl a (mostly
diatoms); (k) photoprotective carotenoids:TChl a, a generic indicator of photoprotection; and (l) (diadinoxanthin þ
diatoxanthin):TChl a (photoprotection through the xanthophyll cycle; see Table 2). DOI: https://doi.org/10.1525/
elementa.2020.00113.f8 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 April 2022 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 0 Figure 8. 3.3. Biogeochemical factors affecting DMSPt
concentrations Vertical profiles of various median concentration ratios by ice cover and depth horizon. (a) DMSPt:cp, a proxy
for DMSPt:POC; (b) DMSPt:TChl a; (c) DMS:DMSPt; (d) pheophorbide a to TChl a ratio, a proxy for phytodetritus
degradation linked to grazing activity; (e) Chl c3:TChl a, a proxy for Phaeocystis pouchetii relative abundance; (f) 190-
butanoyloxyfucoxanthin-like to TChl a ratio, a putative proxy for Phaeocystis pouchetii; (g) 190-
hexanoyloxyfucoxanthin to TChl a ratio (haptophytes and dinoflagellates); (h) peridinin:TChl a (type-1
dinoflagellates); (i) Chl c2:TChl a (chryso- and pelagophytes and other groups); fucoxanthin to TChl a (mostly
diatoms); (k) photoprotective carotenoids:TChl a, a generic indicator of photoprotection; and (l) (diadinoxanthin þ
diatoxanthin):TChl a (photoprotection through the xanthophyll cycle; see Table 2). DOI: https://doi.org/10.1525/
elementa.2020.00113.f8 the SCM (depending on the assumptions), we were able
to explain only 37%–52% of the DMSPp at the near-
surface (Figure S3). Although these estimates are obvi-
ously sensitive to the choice of intracellular DMSP con-
tent
of
each
phytoplankton
group,
the
large
disagreement at the surface indicates that our recon-
struction missed relevant DMSPp pools. IFCB measure-
ments suggest that the unaccounted fraction might
correspond to Phaeocystis colonies, fluorescing detrital
particles and spores of the ice diatom Melosira arctica. In addition, order-of-magnitude estimates suggest a neg-
ligible contribution by DMSP-producing bacteria (likely
<0.1%). Comparison between microscopic counts of
single-celled Phaeocystis and the diagnostic pigment
ratios (which should account for both colonial and
single-celled Phaeocystis) can also shed light on this
issue. According to microscopic data, the abundance of solitary Phaeocystis increased by 20-fold from the near-
surface (median 4.3104 cells L–1) to the SCM (median
8.6105 cells L–1). In contrast, the Chl c3:TChl a and
But-fuco-like:TChl a ratios increased approximately
threefold from the surface to the SCM in the same sam-
ple subset, supporting the notion that our DMSP esti-
mates based on single-cell counts underestimated
Phaeocystis-bound DMSP at the surface. Unfortunately,
IFCB data were not available at most stations concur-
rently with traditional microscopy, and their conversion
into DMSPp is uncertain. Further details on DMSPp parti-
tioning estimates are provided in Text S3. 3.4. Biogeochemical factors affecting DMS
concentrations These
patterns cannot be explained by abiotic DMS removal pro-
cesses controlling spatial distributions, because removal
rates will be maximal in the surface layer and would likely
increase towards the OW stations owing to stronger gas
exchange and light penetration (Figure 4l). Therefore, var-
iations in the net balance between biological production
and consumption likely controlled the spatial distribution
of the DMS:DMSPt ratio. Figure 9. Inferred bacterial DMSP metabolism in the MIZ. Vertical profiles at stations 507 and 519 in the MIZ are
shown for (a) DMSPt and (b) DMS concentrations, (c)
abundance of the bacterial DMSP cleavage gene dddP,
and (d) the ratio between dddP and the DMSP
demethylation gene dmdA. DOI: https://doi.org/
10.1525/elementa.2020.00113.f9 Strong relationships were also found between DMS and cp
(R2 ¼ 0.60) or TChl a (R2 ¼ 0.53; Figure S4).The highest DMS
concentrations were clearly associated with a high Phaeocys-
tis pouchetii abundance at the SCM, as found for DMSPt. In
the subset of nine stations where microscopy counts were
available,theabundanceofthisspecieswashighlycorrelated
to DMS (rS ¼ 0.98, P < 10–4; Figure 7b) and explained
virtually all of the DMS variance (99%) at the SCM. The rela-
tionship between Phaeocystis and DMS was relatively weaker
in the surface layer (rS ¼ 0.80, P < 0.05; Figure 7b), pointing
toa morecomplex interactionbetween variousDMS produc-
tion and removal pathways. To further examine the role of biological processes, we
explored genes associated with bacterial DMSP metabo-
lism at several stations. Unfortunately, quantifications
were performed for the first leg of the Green Edge Expe-
dition (transects T1–T3), where DMS and DMSP were not
measured, and only for stations 507 and 519 in the MIZ
during the second leg described here (T4–T7; Figure 1). The dddP gene encodes for a widespread bacterial DMSP-
lyase, while dmdA encodes for the only known DMSP de-
methylation enzyme, which diverts DMSP away from DMS
production. Hence, the dddP:dmdA ratio should reflect the
relative importance of these competing pathways, that is,
it should serve as a proxy of bacterial DMS yield from
dissolved DMSP. Overall, the abundance of both dddP and
dmdA increased towards the top 20 m, following the ver-
tical trend of bacterial abundance and production (Figure
S2). 3.4. Biogeochemical factors affecting DMS
concentrations The concentration of DMS was strongly correlated to its pre-
cursor DMSPt, explaining 59% of its variance (Figure 6b). Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 16 of 31 Figure 9. Inferred bacterial DMSP metabolism in the MIZ. Vertical profiles at stations 507 and 519 in the MIZ are
shown for (a) DMSPt and (b) DMS concentrations, (c)
abundance of the bacterial DMSP cleavage gene dddP,
and (d) the ratio between dddP and the DMSP
demethylation gene dmdA. DOI: https://doi.org/
10.1525/elementa.2020.00113.f9 DMS (Figure 8g and h; see also stepwise regression results
in Text S4.1 and Table S3). In the absence of DMSP and DMS cycling rate measure-
ments, the net DMSPt-to-DMS conversion efficiency can be
approximated using the DMS:DMSPt ratio (Galı´ et al.,
2018), with higher ratios implying relatively fast DMS pro-
duction, relatively weak DMS removal, or both. The
median DMS:DMSPt ratio was 0.10, but values were scat-
tered across two orders of magnitude (0.01–1; Figures 3
and 6b). The most striking feature of the DMS:DMSPt ratio
was its marked increase from 0.10 at the surface to 0.30 at
60 m at the MIZ and OW stations, but not under ice
(Figure 8c). The increase of DMS:DMSPt with depth
closely paralleled proxies of Phaeocystis relative abun-
dance (Figure 8e and f) and phytoplankton biomass decay
and grazing intensity (Figure 8d), suggesting that both
factors enhanced DMS yields away from the sea surface. Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on y
y
Beyond their clear increase with depth, DMS:DMSPt
ratios showed more subtle vertical and horizontal variations
(Figure 8c) that were not matched by Phaeocystis or phy-
todetritus proxies. First, in the MIZ and OW, median
DMS:DMSPt ratios were higher in the 0–9 m layer than in
the 9–21 m layer, and the difference was significant in the
MIZ (P < 0.01; Bonferroni-adjusted Wilcoxon test). Second,
median DMS:DMSPt ratios were maximal in the MIZ at all
depths, even in the top 5 m of the water column (Figure
10g). Third, for a given Phaeocystis abundance, DMS was
invariably higher at the surface than at the SCM (Figure
7b), which was not observed in the case of DMSPt. 3.4. Biogeochemical factors affecting DMS
concentrations (a) Sea–air DMS flux; (b)
fractional sea-ice coverage (SIC); (c) wind speed; (d) sea-surface temperature; (e) near sea-surface DMS concentration
(0–5 m); (f) DMS ventilation rate constants (kvent) in the equivalent mixed layer (hBD; see text); (g) near sea-surface
DMS:DMSPt ratio (0–5 m); and (h) near sea-surface DMSPt concentration (0–5 m). Box and whisker plots distinguish
between ice-covered waters (ICE), the marginal ice zone (MIZ), and open waters (OW; Table 1). Thick horizontal lines
represent group medians and empty squares represent group means. Boxes encompass the interquartile range (IQR),
and whiskers encompass measurements within +1.5 IQR from the median. Individual measurements outside of this
range are displayed as outliers. DOI: https://doi.org/10.1525/elementa.2020.00113.f10 > 15 nM (Figure 9). In the OW, the highest dddP:dmdA
ratios occurred in the 9–41 m layer with a median of 3–4
(data from leg 1a), in good accordance with enhanced
DMS below the surface (Figure 4d). The dddP:dmdA ratios
reported here provide a lower bound for the ratio between
bacterial cleavage and demethylation genes, because as
many as eight genes encoding for bacterial DMSP lyases
have been described to date (Curson et al., 2011; Li et al.,
2020), of which three (dddK, dddP, and dddD) appear to be
abundant in the global surface ocean (Landa et al., 2019). sea–air exchange was typically <0.03 d–1 (>30 d) at the
ICE stations and 0.04–0.10 d–1 (10–25 d) at the MIZ and
OW stations. Assuming instead that ventilation affected
only the shallow layer defined by MLD0.03 (Table 1),
we obtained shorter turnover times, especially in the MIZ
where the median and maximum were 0.3 d–1 (3 d) and 1
d–1, respectively. Wind speed during the 24 h prior to
sampling did not show significant correlations to the
residual DMS variance, that is, the DMS variance not ex-
plained by phytoplankton biomass. Thus, ventilation did
not deplete near-surface DMS appreciably. > 15 nM (Figure 9). In the OW, the highest dddP:dmdA
ratios occurred in the 9–41 m layer with a median of 3–4
(data from leg 1a), in good accordance with enhanced
DMS below the surface (Figure 4d). 3.4. Biogeochemical factors affecting DMS
concentrations Yet, the dddP:dmdA ratio varied widely, from median
ratios 1 under ice to ratios > 3 in the MIZ and OW,
suggesting that changes in bacterial DMSP catabolism
could partly explain spatial patterns of DMS and
DMS:DMSPt. In the MIZ, the highest dddP:dmdA ratios
were found in the surface layer, with a median of 3 and
a maximum of 7 at station 507, concurrent with high DMS Pigment data confirmed the results based on phyto-
plankton counts, with the highest DMS concentrations
(>20 nM; Figure 3) matched by the highest concentra-
tions of the But-fuco-like pigment (>0.03 mg m–3)
observed at stations 400 (surface), 512 (15 m) and 615
(30 m). Up to 81% of the DMS variance could be explained
with an optimal multilinear regression model using the
same subset of predictor pigments as for DMSPt (except
for TChl a; Table S3). However, unlike DMSPt, a striking
94% of DMS variance was explained by adding the But-
fuco-like pigment to the regression model in the subset of
samples that contained it. In the RDA (Figure 2), pigment
markers of Phaeocystis and other haptophytes, diatoms
and grazing clustered with DMS. Markers for potential
DMS producers such as type-1 dinoflagellates (Peri) and
pico- or nanohaptophytes (Hex-fuco, But-fuco) clustered
with DMSPt, perhaps related to their higher relative abun-
dance in samples with lower-than-average biomass and Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 17 of 31 Figure 10. Sea–air DMS fluxes and corresponding controlling factors across the ice edge. (a) Sea–air DMS flux; (b)
fractional sea-ice coverage (SIC); (c) wind speed; (d) sea-surface temperature; (e) near sea-surface DMS concentration
(0–5 m); (f) DMS ventilation rate constants (kvent) in the equivalent mixed layer (hBD; see text); (g) near sea-surface
DMS:DMSPt ratio (0–5 m); and (h) near sea-surface DMSPt concentration (0–5 m). Box and whisker plots distinguish
between ice-covered waters (ICE), the marginal ice zone (MIZ), and open waters (OW; Table 1). Thick horizontal lines
represent group medians and empty squares represent group means. Boxes encompass the interquartile range (IQR),
and whiskers encompass measurements within +1.5 IQR from the median. Individual measurements outside of this
range are displayed as outliers. DOI: https://doi.org/10.1525/elementa.2020.00113.f10 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 April 2022 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 0 Figure 10. Sea–air DMS fluxes and corresponding controlling factors across the ice edge. 3.4. Biogeochemical factors affecting DMS
concentrations The dddP:dmdA ratios
reported here provide a lower bound for the ratio between
bacterial cleavage and demethylation genes, because as
many as eight genes encoding for bacterial DMSP lyases
have been described to date (Curson et al., 2011; Li et al.,
2020), of which three (dddK, dddP, and dddD) appear to be
abundant in the global surface ocean (Landa et al., 2019). 3.5. Sea-air DMS flux (FDMS) and its drivers
Sea–air fluxes ranged between <0.05 and 26 mmol m–2 d–1. When plotted on a continuous OWD axis, FDMS peaked
between 0 and 20 OWD, wherein it usually exceeded 10
mmol m–2 d–1. The average FDMS was highest at the OW
stations, with 10.0 mmol m–2 d–1 (Figure 10a). Correcting
for the daily fractional ice cover (i.e., multiplying the FDMS
from ice-free waters by 1 – SIC) decreased the mean FDMS
from 2.3 to 0.3 mmol m–2 d–1 in the ICE stations and from
7.3 to 6.9 mmol m–2 d–1 in the MIZ stations. However, the
main driver of the increasing FDMS towards OW was not the
decreasing sea-ice cover, but the concomitant increase in
the sea-surface DMS concentration, wind speed and SST
(Figure 10). Among these four factors, the sea-surface DMS
concentration and wind speed exerted the strongest con-
trol on FDMS, together explaining 75% of the total variance
in the flux data. 4.1. DMS cycling regimes and pathways
4.1.1. Phaeocystis pouchetii subsurface 4.1.1. Phaeocystis pouchetii subsurface maxima
Phaeocystis was present at fairly high background levels at
most stations according to cell counts (Figures 7 and S1)
and marker pigments (Figure 8e and f), and its abun-
dance typically increased towards the SCM. Massive Phaeo-
cystis growth, however, was confined to Atlantic-
influenced waters below the fresh surface layer, where the
highest DMSPt and DMS concentrations were recorded
(Figures 3 and 5). The highest Phaeocystis abundance
found in our dataset (1.2107 cells L–1; station 512) is, to
our knowledge, a record high for Baffin Bay, and similar
to the highest abundances reported so far in the Arctic
(1.2107 cells L–1 in Kongsfjorden, Eilertsen et al., 1989;
1.8107 cells L–1 over the Chukchi Plateau, Sherr et al.,
2003; 8.7107 cells L–1 over the Yermak Plateau in the
Fram Strait, Assmy et al., 2017). Our estimates of Phaeo-
cystis biomass are conservative because they do not
include colonies (see Section 3.4 and Text S3). Wassmann
et al. (2005) found that colonies made up, on average,
16% of the total Phaeocystis biomass in the euphotic
layer in the Barents Sea and adjacent areas. In our data-
set, colonial Phaeocystis may have represented a larger
fraction of the total Phaeocystis biomass in the surface
layer, given the large fraction of DMSPp that could not be
reconstructed from available phytoplankton cell counts
(Section 3.3). Understanding the dispersion mechanisms underpin-
ning Arctic Phaeocystis blooms is key to assessing its role
in the present and future Arctic. Abundant recent litera-
ture supports the association of Phaeocystis pouchetii with
Atlantic waters at high northern latitudes (e.g., Galı´ and
Simo´, 2010; Metfies et al., 2016; Assmy et al., 2017; Engel
et al., 2017; Kubiszyn et al., 2017; Simo-Matchim et al.,
2017; Krawczyk et al., 2018; Ardyna et al., 2020), and its
preference for growing below the pycnocline, in more
saline and less irradiated waters (Lasternas and Agustı´,
2010; Simo-Matchim et al., 2017; this study). Despite its
well-established Atlantic origin, however, the median rel-
ative Phaeocystis abundance during Green Edge was sim-
ilar across east–west transects according to marker
pigments (Figure 8e and f). We hypothesize that seed
populations carried by the Atlantic inflow (West Green-
land Current) mixed with Arctic water masses (Figure
1), a process likely enhanced by submesoscale motions
at the ice edge (Castro et al., 2017; Manucharyan and
Thompson, 2017). 4. Discussion
h di
ib
i The distribution of DMSPt and DMS across the Baffin Bay
receding ice edge largely followed the evolution of the
phytoplankton bloom. The maximum observed DMSPt
(524 nM) and DMS (74 nM) concentrations are, by far, the
highest reported in the Atlantic and Canadian sectors of
the Arctic to our knowledge (see compilations by Jarnı´ko-
va´ et al., 2018, and Matrai et al., 2007; Lizotte et al., 2020). Observed near-surface DMS concentrations and sea–air
FDMS were within the range of previous studies (Table 3). In the first part of this section we analyze the relation-
ship between the physicochemical environment and the
spatiotemporal patterns of DMSPt and DMS concentra-
tions, with the goal of inferring the main processes con-
trolling DMS cycling and emissions across the ice edge. This analysis draws on the comprehensive description of
the ecosystem (and, foremost, phytoplankton dynamics)
provided by the Green Edge datasets (Lafond et al., The distribution of DMSPt and DMS across the Baffin Bay
receding ice edge largely followed the evolution of the
phytoplankton bloom. The maximum observed DMSPt
(524 nM) and DMS (74 nM) concentrations are, by far, the
highest reported in the Atlantic and Canadian sectors of
the Arctic to our knowledge (see compilations by Jarnı´ko-
va´ et al., 2018, and Matrai et al., 2007; Lizotte et al., 2020). Observed near-surface DMS concentrations and sea–air
FDMS were within the range of previous studies (Table 3). I
h fi
f hi
i
l
h
l i In the first part of this section we analyze the relation-
ship between the physicochemical environment and the
spatiotemporal patterns of DMSPt and DMS concentra-
tions, with the goal of inferring the main processes con-
trolling DMS cycling and emissions across the ice edge. This analysis draws on the comprehensive description of
the ecosystem (and, foremost, phytoplankton dynamics)
provided by the Green Edge datasets (Lafond et al., Assuming DMS ventilation losses affected the entire
mixed layer represented by hBD, DMS turnover due to Art. 9(1) page 18 of 31 Galı´ et al: DMS Emissions from the Arctic MIZ 2019; Randelhoff et al., 2019; Saint-Be´at et al., 2020). In
the second part, we present pan-Arctic estimates of
present-day EDMS, MIZ, and discuss the implications of
changing ice cover for future DMS emissions. 4.1. DMS cycling regimes and pathways
4.1.1. Phaeocystis pouchetii subsurface In this regard, marked patchiness was
evident in high resolution hydrographic data recorded
during Green Edge, and also in the large variation of di-
methylated sulfur concentrations registered at some sta-
tions between the morning and afternoon CTD casts (e.g.,
station 615, 30 m sample in Figure 3). Thus, water-mass
mixing possibly allowed for the early initiation of the
bloom under ice, perhaps connected to the colonization
of bottom ice by Phaeocystis (see Section 4.1.3), eventually
leading to a massive subsurface bloom under optimal
environmental conditions. Large-scale under-ice Phaeocys-
tis blooms have been observed near the Fram Strait (Ass-
my et al., 2017). These blooms could eventually produce
very high FDMS if they were rapidly advected away from
the ice cover and suddenly exposed to high irradiance
(Galı´ et al., 2013; Vance et al., 2013; Galindo et al., 2016). Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 0 Phaeocystis single-cell abundance explained an over-
whelming fraction of the DMS variance in the SCM layer
(R2 ¼ 0.99, n ¼ 9; Figure 7b). Such a strong relationship
is unprecedented in the literature, to our knowledge, and
suggests that Phaeocystis DMSP-lyase activity controlled
DMS production in the SCM layer, even at stations where
this species did not dominate the DMSPp pool (Figure S3). Our finding is akin to the very strong association between
Phaeocystis globosa biomass and potential DMSP-lyase
activity (R2 ¼ 0.97) found by Stefels et al. (2007) during
a coastal phytoplankton bloom. Still, the observed corre-
lation does not exclude the contribution of bacterial
DMSP cleavage (Figure S2). Although the positive correla-
tion between Phaeocystis abundance and DMS was not as
strong in the near-surface, it was significant and suggests
that this species made a substantial contribution to DMS
production in the surface layer. 4. Discussion
h di
ib
i subsurface DMS stocks was probably the consumption
by specialized methylotrophic bacteria (Vila-Costa et al.,
2006; del Valle et al., 2007), capable of rapid biological
DMS turnover (0.5–3 d–1) in subsurface Arctic waters (Galı´
and Simo´, 2010). Events of rapid DMS outgassing from the
SCM could occur if storms were powerful enough to erode
the stable pycnocline (Le Clainche et al., 2006). However,
such events are unlikely to happen under high ice-melt
rates typically present at the ice edge in summer (Randelh-
off et al., 2019). 4.1.2. Phytoplankton-bacterial connections modu-
lated by stress in MIZ surface waters In the surface layer of the MIZ, high DMS concentrations
and relatively high DMS:DMSPt ratios possibly resulted
from the multiplicative effects of enhanced DMSP and
DMS release by phytoplankton (Sunda et al., 2007; Galı´
et al., 2013) and enhanced bacterial DMS yields from the
microbial consumption of DMSP (Slezak et al., 2007). Uti-
lization of DMSP by the free-living bacterial community
clearly increased towards the surface, and the highest
ratios between the potential cleavage and demethylation
activities (dddP:dmdA) were found in the top 10 m of the
water column in several MIZ and some OW stations (Fig-
ures 9 and S4). High bacterial DMS yields are a response Despite the sharp vertical DMS gradients encountered,
upward diffusion of DMS from the subsurface maxima
likely made a minor contribution to sea–air DMS fluxes,
compared to DMS cycling in the upper mixed layer. Our
order-of-magnitude calculations (Text S5) indicate that
diapycnal DMS transport was generally smaller than other
DMS budget terms. An exception was found at station
512, where the diapycnal DMS flux may have been com-
parable in magnitude to the sea–air flux, though smaller
than biological and photochemical DMS turnover rates. According to current knowledge, the main fate of Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 19 of 31 Art. 9(1) page 19 of 31 (Toole et al., 2006; Galı´ and Simo´, 2010). In any case, the
net effect of interacting DMS production and consump-
tion pathways was a peak in DMS concentrations in the
stably stratified surface layer of the MIZ (Table 1; Figure
4). to the oversupply of reduced sulfur, allowing bacteria to
retain the carbon moiety of DMSP while releasing the
sulfur as DMS (Kiene et al., 2000; Varaljay et al., 2015;
Galindo et al., 2015). ,
)
Phytoplanktonic DMSP has to be released to the extra-
cellular medium to be usable by bacteria. Because zwitter-
ions like DMSP cannot passively cross healthy cell
membranes, DMSP release must result from cell breakage
by grazers, cell membrane damage, or active exudation
through membrane transporters or secretory vesicles (Ste-
fels et al., 2007; Orellana et al., 2011). Release of DMSP
through zooplankton grazing was likely heightened in
mature bloom stages in OW (Saint-Be´at et al., 2020), prob-
ably accompanied by viral lysis (Malin et al., 1998) and
autolysis. 4.1.3. Ice-water exchange Very high concentrations of DMSPt (255 nM) and DMS (22
nM) were found beneath the ice at station 400, concur-
rently with an anomalously high DMSPt:cp ratio (Figure
6a) and But-fuco-like concentration. This outlier observa-
tion (see Figure 3) suggests that Phaeocystis grew in and
was released from bottom sea ice, adding to scarce previ-
ous reports of Phaeocystis colonizing sea-ice environments
(Ferna´ndez-Me´ndez et al., 2018; Selz et al., 2018). Spores
of the ice diatom Melosira were also found in the water
column, in particular at the SCM of stations 512 (MIZ) and
703 (OW), and potentially contributed to the DMSP pool. Galindo et al. (2014; Galindo et al., 2015) observed that, at
the onset of the melt season, snow melting caused ice
drainage events that flushed ice-bottom biomass and
seeded the pelagic diatom bloom, boosting bacterial
DMSP cycling beneath the sea ice. If Phaeocystis was pres-
ent in the sea ice, such a process could further enhance
DMS production and eventual outgassing. Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 0 p
g
g
To further explore the role of ice melt in supplying
dimethylated sulfur compounds to the upper water col-
umn, we analyzed the correlation between several vari-
ables and salinity, repeating the analysis in progressively
thicker layers from 0–5 m to 0–41 m (Figure S5). The
correlation between DMS and salinity became more neg-
ative as shallower layers were considered, reaching rS ¼ –
0.49 (P < 0.05) in the 0–5 m layer. Other variables (DMSPt,
TChl a and cp) showed similar but nonsignificant patterns,
whereas Phaeocystis diagnostics (Chl c3, But-fuco-like)
were positively correlated to salinity but only if a deeper
layer (0–41 m) was considered. The significantly negative
correlation between salinity and near-surface DMS may be
seen as supportive of the role of ice-released organic mat-
ter; however, this correlation was clearly weaker than that
found between DMS and Phaeocystis (Figure 7b). More-
over, an important role of sea ice in directly supplying
DMS or its precursors to near-surface waters during Green
Edge is at odds with other observations. First, surveys
covering a longer period of the melt season indicated that
the majority of ice-bound DMSP (Galindo et al., 2014) and
POC (Amiraux et al., 2019) was released to the water col-
umn well before permanent ice breakup. 4.1.2. Phytoplankton-bacterial connections modu-
lated by stress in MIZ surface waters In contrast, release of DMSP upon radiative dam-
age was likely important in the MIZ surface layer, as pre-
viously observed experimentally by Galindo et al. (2016). In support of this hypothesis, Alou-Font et al. (2016)
observed that around 20% of the phytoplankton cells in
the Arctic surface layer had permeable (compromised)
membranes for daily PAR between 20–40 mol photons
m–2 d–1, and this fraction exceeded 50% for daily PAR >
50 mol photons m–2 d–1. Median (maximum) daily PAR
levels of 31 (35) and 38 (52) mol photons m–2 d–1, respec-
tively, were recorded in MIZ and OW stations during our
cruise (Figure 4l). Despite the much higher light levels in
the MIZ and OW surface layers, the major photoprotective
pigments were not upregulated in the MIZ compared to
ICE stations (Figure 8k and l), whereas a distinct photo-
protective response was found in the OW stations. Thus,
insufficient photoprotection might have favored DMSP
release by MIZ phytoplankton. Finally, the enhanced avail-
ability of algal substrates can also be inferred from the
high bacterial abundance and production in the 0–21 m
layer in the MIZ (Figure S4). 4.1.3. Ice-water exchange In the coastal
Baffin Bay, the fraction of ice-derived POC was typically
less than 5% in the top 10 m of the water column during
the three weeks preceding ice opening (Amiraux et al.,
2019). Second, model results (Hayashida et al., 2020) also
indicate that ice-released DMSP is unlikely to fuel ocean-
emitted DMS during the advanced melt season; yet, it
could have fueled DMS emission in May, during the
bottom-ice algal bloom. y
( g
)
High DMSP availability in the MIZ may have also re-
sulted from upregulated DMSP synthesis in diatoms as
a consequence of nutrient and radiative (ultimately oxida-
tive) stress (Sunda et al., 2002; McParland and Levine,
2019). Diatoms made up a substantial fraction of the phy-
toplankton community in the 0–21 m layer in the MIZ
according to pigment ratios (Figure 8i and j). As described
in Text S3, a DMSP content of 0.4% of cell carbon in
diatoms (Stefels et al., 2007) was insufficient to recon-
struct DMSP concentrations during Green Edge. A higher
DMSP-carbon content of 2% provided a better fit, and an
even higher content was compatible with observed near-
surface DMSPt concentrations. On the other hand, diatoms
may also obtain antioxidant DMSP through uptake (The-
seira et al., 2020), a pathway that is enhanced under high
irradiance (Ruiz-Gonza´lez et al., 2012) and that diverts
DMSP from DMS production. In addition to boosting DMS production through the
coupled activities of phytoplankton and bacteria, nutrient
and radiative stress in the MIZ and OW surface layer likely
enhanced direct DMS release by phytoplankton (Sunda et
al., 2002; Sunda et al., 2007). UVR may have partially
offset the increase in bacterial DMS production via photo-
inhibition of DMSP uptake (Slezak et al., 2007), while
simultaneously inhibiting bacterial DMS consumption 4.1.4. Detrital matter 4.1.4. Detrital matter
The increase in DMS:DMSPt with depth paralleled the
increase in pigment markers for both Phaeocystis and Galı´ et al: DMS Emissions from the Arctic MIZ Art. 9(1) page 20 of 31 Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 April 2022 phytodetritus (Figure 8d–f). The latter is consistent with
the high abundance of large marine snow aggregates in
the MIZ and OW found during Green Edge by Trudnowska
et al. (2021). Our observation suggests that (1) efficient
DMSP-to-DMS conversion occurred in suspended and sink-
ing particles below the euphotic layer (depth > 40 m), and
(2) this DMS production was not fully balanced by
increased biological DMS consumption. Increased DMSP
cleavage may have resulted from both phytoplanktonic
and bacterial DMSP-lyase activities, combined with parti-
cle processing by zooplankton. The few available studies
indicate that large aggregates and marine snow may be
a hotspot for both DMSP cleavage (Scarratt et al., 2000)
and demethylation (Steiner et al., 2019) and for DMS bio-
consumption (del Valle et al., 2009) in productive marine
settings where particle-attached lifestyles tend to be more
prevalent (Teeling et al., 2012). Moreover, bacterial groups
with affinity to particles such as Bacteroidetes, gammapro-
teobacteria and some alphaproteobacteria (Teeling et al.,
2012; Ferna´ndez-Go´mez et al., 2013) can harbor several
DMSP lyase genes (Curson et al., 2011; Zeng et al., 2016). Particle sinking removes DMSP from the surface layer
where it could potentially fuel DMS emissions. The impor-
tance of this process depends on the sinking-speed spec-
trum of DMSP-bearing particles, relative to biological
DMSP turnover in the surface layer. Lizotte et al. (2008)
found that less than 2% d–1 of DMSPp sank from the
bottom of the euphotic zone during the decay of the
Northwest Atlantic diatom bloom. Studies of Phaeocystis
pouchetii blooms generally found low vertical export effi-
ciency (Reigstad and Wassmann, 2007; Assmy et al., 2017),
although export occasionally may be enhanced by pro-
cesses other than gravitational sinking, e.g. water-mass
subduction (Rellinger et al., 2009). During Green Edge,
the vertical patterns of DMS:DMSPt and marker pigments
suggest relatively slow sinking and rapid breakdown of
DMSP-bearing aggregates, which altogether would atten-
uate the gravitational DMSP flux. Figure 11. Evolution of Arctic MIZ DMS emission during
summer (May–August) aggregated by 5 latitude bands. 4.1.4. Detrital matter During Green Edge,
the vertical patterns of DMS:DMSPt and marker pigments
suggest relatively slow sinking and rapid breakdown of
DMSP-bearing aggregates, which altogether would atten-
uate the gravitational DMSP flux. Figure 11. Evolution of Arctic MIZ DMS emission during
summer (May–August) aggregated by 5 latitude bands. Bars represent DMS emission from the MIZ (EDMS, MIZ;
left axis); lines represent the additional percentage of
EDMS from the MIZ compared to OW (right axis). Colors
represent methods A (light cyan) and B (dark cyan) used
to compute MIZ extent (see Section 4.2). The left y-axis
scale is the same in all panels to facilitate comparisons
of the magnitude of EDMSMIZ among latitude bands,
whereas right y axes scales differ because the
percentages span two orders of magnitude. DOI:
https://doi.org/10.1525/elementa.2020.00113.f11 explain the episodic spikes in DMS concentrations just
above the sea surface reported in Baffin Bay and the Cana-
dian Arctic (Mungall et al. 2016; Ghahremaninezhad et al.,
2019). 4.1.4. Detrital matter Bars represent DMS emission from the MIZ (EDMS, MIZ;
left axis); lines represent the additional percentage of
EDMS from the MIZ compared to OW (right axis). Colors
represent methods A (light cyan) and B (dark cyan) used
to compute MIZ extent (see Section 4.2). The left y-axis
scale is the same in all panels to facilitate comparisons
of the magnitude of EDMSMIZ among latitude bands,
whereas right y axes scales differ because the
percentages span two orders of magnitude. DOI:
https://doi.org/10.1525/elementa.2020.00113.f11 phytodetritus (Figure 8d–f). The latter is consistent with
the high abundance of large marine snow aggregates in
the MIZ and OW found during Green Edge by Trudnowska
et al. (2021). Our observation suggests that (1) efficient
DMSP-to-DMS conversion occurred in suspended and sink-
ing particles below the euphotic layer (depth > 40 m), and
(2) this DMS production was not fully balanced by
increased biological DMS consumption. Increased DMSP
cleavage may have resulted from both phytoplanktonic
and bacterial DMSP-lyase activities, combined with parti-
cle processing by zooplankton. The few available studies
indicate that large aggregates and marine snow may be
a hotspot for both DMSP cleavage (Scarratt et al., 2000)
and demethylation (Steiner et al., 2019) and for DMS bio-
consumption (del Valle et al., 2009) in productive marine
settings where particle-attached lifestyles tend to be more
prevalent (Teeling et al., 2012). Moreover, bacterial groups
with affinity to particles such as Bacteroidetes, gammapro-
teobacteria and some alphaproteobacteria (Teeling et al.,
2012; Ferna´ndez-Go´mez et al., 2013) can harbor several
DMSP lyase genes (Curson et al., 2011; Zeng et al., 2016). Downloaded from http://online.ucpress.edu/elementa/article-pdf/9/1/00113/474403/elementa.2020.00113.pdf by guest on 08 Particle sinking removes DMSP from the surface layer
where it could potentially fuel DMS emissions. The impor-
tance of this process depends on the sinking-speed spec-
trum of DMSP-bearing particles, relative to biological
DMSP turnover in the surface layer. Lizotte et al. (2008)
found that less than 2% d–1 of DMSPp sank from the
bottom of the euphotic zone during the decay of the
Northwest Atlantic diatom bloom. Studies of Phaeocystis
pouchetii blooms generally found low vertical export effi-
ciency (Reigstad and Wassmann, 2007; Assmy et al., 2017),
although export occasionally may be enhanced by pro-
cesses other than gravitational sinking, e.g. water-mass
subduction (Rellinger et al., 2009). 5. Conclusions and outlook g
g
Ice melting and water-column stratification are poised
to play an increasingly critical role in controlling Arctic
EDMS. The stability of stratification has numerous biogeo-
chemical ramifications as it controls, at least: (1) phyto-
plankton productivity, through turbulent nutrient supply
(Randelhoff et al., 2020), and ensuing nutrient stress that
can boost DMSP production by low DMSP producers such
as diatoms (McParland and Levine, 2019); (2) mean PAR
and UVR exposure of the entire food web in the upper
water column, and therefore radiative stress-driven DMSP
and DMS cycling (Galı´ and Simo´, 2010; Galı´ et al., 2013;
Vance et al., 2013); and (3) CO2 solubility and invasion of
deeper waters, and thus the carbonate system parameters
and pH, with potentially important effects on sulfur
cycling (Hussherr et al., 2017; Hopkins et al., 2020; Be´nard
et al., 2021). In addition, better understanding is needed
of ice-water biogeochemical fluxes and biogeochemical
transformations of ice-released organic matter (Galindo
et al., 2014; Hayashida et al., 2020). Physicochemical pro-
cesses that alter the near-surface turbulence can further
amplify the uncertainty in MIZ DMS emissions. Examples
include the turbulence generated by ice drag, and the
formation of freshwater lenses and sea-surface microlayers
enriched in surfactants, damping near-surface turbulence
(Carpenter et al., 2012). The Arctic MIZ can produce strong DMS emission pulses
(Table 3), which can influence aerosol formation and
properties in the clean Arctic summer atmosphere (Abbatt
et al., 2019). Although their pan-Arctic magnitude is still
uncertain (likely 5–13 Gg S yr–1), these emissions cannot
be overlooked and the biogeochemical factors that control
them deserve further study. Productive polar ice edges like
the one described here are paradigmatic of the bloom
regime, whereby phytoplankton biomass is a strong pre-
dictor of dimethylated sulfur dynamics (Toole and Siegel,
2004). Here we attempted to dissect the bloom regime,
which allowed us to infer a number of co-occurring DMS
cycling pathways linked to different autotrophic and he-
trotrophic activities. Their spatiotemporal distribution was
related to processes that shape the development of the
late spring bloom in Baffin Bay, namely, the W–E gradient
between Arctic (Pacific-derived) and Atlantic water masses,
ice melting, and their combined effects on the diverging
vertical gradients of light and nutrient availability (Lafond
et al., 2019; Randelhoff et al., 2019; Saint-Be´at et al.,
2020). )
Below we summarize the main findings of our study:
Water masses. 4.2. Present and future EDMS from the MIZ: Physical
and biological constraints The DMS fluxes measured in the MIZ during Green Edge
are within the range of previous studies in the Arctic MIZ
(<1–33 mmol m–2 d–1), and the compilation in Table 3
suggests that the mean FDMS from ice-free waters in the
MIZ is typically between 5 and 10 mmol m–2 d–1. This range
is consistent with the FDMS diagnosed from satellite ocean
color data immediately after ice opening in several Arctic
subregions (Galı´ et al., 2019). Given that estimated mean
FDMS from ice-free waters between May and August at
latitudes >70N was 2 mmol m–2 d–1 (Galı´ et al.,
2019), phytoplankton blooms in the Arctic MIZ can be
qualified as DMS emission hotspots. In the aerosol-poor
summer Arctic atmosphere, episodes of high FDMS, MIZ can
easily exceed aerosol nucleation thresholds (Leaitch et al.,
2013; Collins et al., 2017; Dall’Osto et al., 2017). The epi-
sodic and patchy nature of DMS flux from the MIZ is an
important attribute regarding aerosol nucleation events,
as recently highlighted by Webb et al. (2019) in a study of
the West Antarctic Peninsula. These attributes may partly No published estimates of pan-Arctic EDMS, MIZ are
available, to our knowledge, in spite of their importance
for high Arctic aerosols. Assuming a mean FDMS in ice-free
MIZ waters of 5 mmol m–2 d–1, pan-Arctic EDMS, MIZ
between 2003 and 2014 would amount to a mean
(+standard deviation, n ¼ 12) of 5.4 (+0.6) Gg S yr–1
in scenario A (where the duration of the MIZ status is
fixed at 8 days for any given pixel) and 12.9 (+1.6) Gg
S yr–1 in scenario B (which allows for variable duration of
the “MIZ period” for any given pixel and year; Figure 11). In both scenarios, the 70–80N latitude band would
account for 75% of the total EDMS, MIZ north of 65N. We also computed the weight of EDMS, MIZ relative to open
water EDMS (EDMS, OW) in June and July as 100 x EDMS, MIZ/
EDMS, OW. The additional contribution of EDMS, MIZ increases
with latitude, from a modest 3%–6% (means of A–B sce-
narios) in the 65–70N band to 60%–162% in the 80– Art. 9(1) page 21 of 31 Galı´ et al: DMS Emissions from the Arctic MIZ 85N band. 4.2. Present and future EDMS from the MIZ: Physical
and biological constraints Our estimates also suggest a temporal
increase in the magnitude of EDMS, MIZ of about 10 +
4% yr–1 (P < 0.05) between 2003 and 2014 north of
80N, with highest EDMS, MIZ in years with record-low
sea-ice extent (2007 and 2012; Figure 11a). This increas-
ing trend is consistent with the progressive widening of
the MIZ in summer detected until 2011 (Strong and Rigor,
2013). Our estimates are admittedly crude and should be
refined as new field measurements become available. Large uncertainty arises from assigning a fixed FDMS to all
pixels flagged as MIZ, and future statistical upscaling ex-
ercises should take into account spatial variations in sea-
surface DMS concentrations across contrasting Arctic bio-
geochemical regimes. 2008), no silicate requirement (Ardyna et al., 2020), the
protection from zooplankton predators provided by muci-
laginous colonies (Long et al., 2007; Verity et al., 2007),
and even allelopathy (Hansen and Eilertsen, 2007) may
explain the ability of Phaeocystis to outcompete diatoms
and form massive blooms under certain conditions. The
northward expansion of Phaeocystis along with Atlantic
waters in the Barents Sea detected by remote sensing
(Orkney et al., 2020), analogous to that of its temperate
relative Emiliania huxleyi in subpolar waters, indicates
ongoing floristic shifts are impacting Arctic EDMS. Still,
what factors control Phaeocystis abundance and eventual
dominance elsewhere in the Arctic remains unknown. 5. Conclusions and outlook Extremely high biomass of
Phaeocystis pouchetii in the subsurface bio-
mass maximum, along with very high DMSPt
and DMS, were associated unambiguously
with Atlantic-influenced waters. Marked spa-
tial patchiness in planktonic biomass and
biogenic sulfur concentrations were observed
in the mixing zone between the Arctic and
Atlantic water masses. Over large spatiotemporal scales, uncertainty in
present-day and future estimates of EDMS, MIZ may also
arise from changes in plankton biogeography. In this re-
gard, knowledge of the ecological niches occupied by the
main blooming groups, that is, diatoms and Phaeocystis
pouchetii, is key. Available data tie P. pouchetii to the Atlan-
tic inflow at high northern latitudes, with a growth opti-
mum between 1C and 5C (Brun et al., 2015), likely
warmer than that of some Arctic diatoms (Lacour et al.,
2017). Others have suggested that P. pouchetii does not
grow well in meltwater-influenced surface waters (Laster-
nas and Agustı´, 2010) and, interestingly, decreased growth
at low salinities was reported for its austral relative P. antarctica (Kameyama et al., 2020). Despite its apparent
preference for relatively low irradiance (Simo-Matchim et
al., 2017; this study), other field data suggest that this
species features extremely wide photophysiological plas-
ticity, as it can grow efficiently at both low (2 mol photons
m–2 d–1; Assmy et al., 2017) and high (40 mol photons m–2
d–1; Cota et al., 1994) irradiance. This plasticity, the ability
to use regenerated nitrogen forms (Sanderson et al., Temporal evolution. A single space-for-time
axis, based on the open water days (OWD)
metric, captured major features of the tem-
poral evolution of the planktonic biomass and
dimethylated sulfur concentrations, from
bloom initiation under the ice to its peak in
the MIZ and decay in open waters.
DMSP producers and particulate frac-
tions. Pigment markers for phytoplankton
taxonomy and photoacclimation explained Art. 9(1) page 22 of 31 Galı´ et al: DMS Emissions from the Arctic MIZ
Phytoplankton biogeography and bio-
geochemical regimes. Further field and lab
work is required to understand the ecological
niche occupied by Phaeocystis pouchetii to
predict its fitness and prevalence in the future
Arctic compared to diatoms. Dinoflagellates
and picoeukaryotes should be included in
global compilations and ecological niche
studies (e.g., Brun et al., 2015). 5. Conclusions and outlook The latter
groups may contribute disproportionately to
the background (non-bloom) levels of DMSPt
and DMS production in polar environments,
and some can play a dual role acting as gra-
zers (Stoecker et al., 2017). The response of
plankton communities to decadal- or
centennial-scale environmental changes
(AMAP, 2017; IPCC, 2019; Inness et al., 2020)
is poorly understood. 80% of DMSPt variance. The contribution of
different DMSP producers changed progres-
sively from samples with very high DMSPt
(Phaeocystis-dominated), moderate DMSPt
(diatoms, dinoflagellates) and low DMSPt (di-
noflagellates, non-Phaeocystis pico- and na-
noeukaryotes). Particulate DMSP represented
1–10% of the POC. Detrital matter, zoo-
plankton biomass and perhaps ice-released
particles may have accounted for a substantial
DMSPt fraction in some samples.
Microbial DMS cycling pathways. Meltwa-
ter stratification caused the vertical segrega-
tion of sulfur cycling pathways linked to
different auto- and hetetrotrophic processes. In the surface layer of the MIZ (and to some
extent OW) we inferred high DMSP-to-DMS
conversion via phytoplankton-bacterial inter-
actions, likely favored by nutrient and light
stress, ultimately leading to high median
DMS:DMSPt ratios (0.15) and DMS concentra-
tions (12 nM). Conversely, Phaeocystis pou-
chetii drove DMS production in subsurface
biomass maxima. Efficient DMSP-to-DMS
conversion was inferred in suspended or
sinking aggregates below the euphotic layer,
concurrent with a clear pigment signature of
grazing.
Microbial DMS cycling pathways. Meltwa-
ter stratification caused the vertical segrega-
tion of sulfur cycling pathways linked to
different auto- and hetetrotrophic processes. In the surface layer of the MIZ (and to some
extent OW) we inferred high DMSP-to-DMS
conversion via phytoplankton-bacterial inter-
actions, likely favored by nutrient and light
stress, ultimately leading to high median
DMS:DMSPt ratios (0.15) and DMS concentra-
tions (12 nM). Conversely, Phaeocystis pou-
chetii drove DMS production in subsurface
biomass maxima. Efficient DMSP-to-DMS
conversion was inferred in suspended or
sinking aggregates below the euphotic layer,
concurrent with a clear pigment signature of
grazing.
Repeat surveys and exploration. Continu-
ation of survey programs in areas with long
historical records is key to detecting trends
driven by climate change. Studies in under-
sampled regions (Central Basin and Siberian
shelves, e.g., Uhlig et al., 2019; Schanke et al.,
2020) are needed to upscale in situ mea-
surements and generalize current knowledge. 5. Conclusions and outlook The transition toward a first-year Arctic ice cap
may favor a high-DMS MIZ such as the one
described here in contrast to the low DMS
concentrations associated with multi-year ice
margins (Lizotte et al., 2020). Given the wide range of environmental conditions sam-
pled during the Green Edge cruise, we argue that our
findings, and the new questions they have raised, are rel-
evant for other regions in the Arctic. Although our study is
limited by the descriptive nature of the dataset, it provides
a good template for upcoming process studies and mod-
eling efforts and will be useful to refine existing concep-
tual models. Below we conclude by listing potential
research priorities for future studies:
Modeling. Biogeochemical modeling studies
should place emphasis on the ability to
reproduce (1) the large-scale distribution pat-
terns of key phytoplankton groups (Wang et
al., 2015), (2) the vertical segregation of
plankton communities and sulfur-cycling re-
gimes, and (3) biogeochemical fluxes between
sea ice and water (Hayashida et al., 2020). These modeling efforts will better constrain
the EDMS, MIZ estimates presented here (Figure
11) and allow for future projections, regional
and pan-Arctic, of DMS emissions.
Modeling. Biogeochemical modeling studies
should place emphasis on the ability to
reproduce (1) the large-scale distribution pat-
terns of key phytoplankton groups (Wang et
al., 2015), (2) the vertical segregation of
plankton communities and sulfur-cycling re-
gimes, and (3) biogeochemical fluxes between
sea ice and water (Hayashida et al., 2020). These modeling efforts will better constrain
the EDMS, MIZ estimates presented here (Figure
11) and allow for future projections, regional
and pan-Arctic, of DMS emissions.
Sulfur budgets. Comprehensive measure-
ments of biological DMS production and
consumption rates are needed to constrain
DMS budgets and sea–air fluxes in relation to
plankton and ice-melt dynamics. Special
emphasis should be placed on (1) the micro-
bial processes occurring in and around parti-
cles across the entire size spectrum (cells,
excretion vesicles, colonies, metazoan zoo-
plankton and large detrital aggregates), (2)
ice–water mass fluxes, and (3) the modulation
of sulfur budgets by interacting environmen-
tal stressors (Galı´ et al., 2013; Hopkins et al. 2020). Competing interests Arrigo, KR, Perovich, DK, Pickart, RS, Brown, ZW, van
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We acknowledge funding from AGAUR (Generalitat de
Catalunya) Beatriu de Pino´s postdoctoral fellowship pro-
gram (MG), the Canada Excellence Research Chair in
Remote Sensing of Canada’s New Arctic Frontier (MB), the
Canada Research Chair on Ocean Biogeochemistry and
Climate and an NSERC Discovery Grant Program and
Northern Research Supplement Program (MLe), NETCARE
(NSERC Climate Change and Atmospheric Research pro-
gram, MLe), the U.S. National Science Foundation (NSF-
OCE 1756907, DJK), Marie Curie Actions-International
Outgoing Fellowship (PIOF-GA-2013-629378, JD), and Arc-
ticNet (The Network of Centres of Excellence of Canada). This is a contribution to the research program of Que´bec-
Oce´an and the Takuvik Joint International Laboratory
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Levasseur, M. 2021. DMS emissions from the Arctic marginal ice zone. Elementa: Science of the Anthropocene 9(1). DOI: https://doi.org/10.1525/elementa.2020.00113 Domain Editor-in-Chief: Jody W. Published: July 14, 2021
Accepted: May 27, 2021
Submitted: August 7, 2020 Published: July 14, 2021
Accepted: May 27, 2021
Submitted: August 7, 2020 Copyright: © 2021 The Author(s). This is an open-access article distributed under the terms of the Creative Commons
Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. Copyright: © 2021 The Author(s). This is an open-access article distributed under the terms of the Creative Commons
Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. Elem Sci Anth is a peer-reviewed open access
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Character Education Learning Strategies in Developing Students’ Literacy Skills
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International Journal of Multidisciplinary Sciences
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cc-by-sa
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International Journal of
Multidisciplinary Sciences
Volum
ISSN International Journal of
Multidisciplinary Sciences
Volum
ISSN national Journal of
sciplinary Sciences Volume 2 Issue 1 (2024)
ISSN : 2986-7665 (Media Online) Volume 2 Issue 1 (2024)
ISSN : 2986-7665 (Media International Journal of
Multidisciplinary Sciences International Journal of
Multidisciplinary Sciences Character Education Learning Strategies
in Developing Students’ Literacy Skills Maikel Hendrik
Domingo Savio Private University (UPDS), Santa Cruz, Bolivia
maikelhendrik9@gmail.com Abstract The research aimed to describe character education learning strategies in developing
students’ literacy skills. The method used in this research was descriptive qualitative, where
most of the data came from literature studies. The lack of interest in reading books (literacy)
and critical thinking skills among students is one of the obstacles in Indonesia’s education
world nowadays. It is based on the fact that some students who lack interest in reading cannot
think critically in processing and obtaining reliable and actionable information. Therefore,
efforts, strategies, and methods used in learning are needed to foster students’ ability and
interest in reading so that students can have the ability to think critically in processing the
information obtained in the hope of creating a golden generation that can compete in this era. Methods The research used descriptive and qualitative methods. This research aimed to describe
learning strategies in developing character education literacy. Descriptive qualitative
research was intended to explain symptoms or conditions during the research. Qualitative
research aims to describe and reduce phenomena, events, social activities, attitudes, beliefs,
cognitions, and thoughts of individuals and groups. Qualitative research methods are often
called naturalistic research methods because the research is conducted in natural conditions
(natural environment) and is said to be an ethnographic method. The data collection method
used was a literature study. Introduction In the current globalization era, education plays an important role, is needed in life, and
is considered a necessity for everyone. With education, all can learn, gain knowledge, and
change a person’s perspective or way of thinking. Currently, education in Indonesia is
inferior compared to other countries. There are several causes of low education in Indonesia. One of them is the lack of literacy or reading interest of today’s young generation both among
students (elementary, junior high, high school) and among students, which is the cause of the
low ability to think critically. Reading (Literacy) is a source of knowledge because a person
can learn various things they want or do not know by reading (Literacy). The ability and
desire to read affect someone’s knowledge and skills. The more people read, the more they
will learn new things and have many abilities. It means that the more things people know,
the more they will be able to help them do various things they do not know and have not
mastered. Therefore, someone with a high interest in reading will have more quality than
someone with a low interest in reading (Benson, 2004; Hornberger, 2009). It should be noted that literacy is an essential skill that every student needs to have in
the field of learning. In simple terms, literacy is understood as reading and writing skills. Then, the definition of literacy developed into the abilities and skills individuals possess in
language, including reading, writing, listening, and speaking, at a certain level of ability
needed in life. Students need literacy skills to understand many subjects. One of the many
subjects is character education learning. Character education is the process of planting and
learning about the values of life. Character education is an education that serves to shape and
develop a strong personality for students. Literacy in character learning emphasizes the skill
of receiving information that focuses on several activities, such as reducing, presenting, and
verifying information (Faguet & Sanchez, 2008). In this regard, several methods and
strategies are used to develop students’ literacy skills in the character education learning
process. 43 https://jayapanguspress.penerbit.org/index.php/IJMS Result and Discussions 1. Factors Causing Low Literacy Interest 1. Factors Causing Low Literacy Interest Technology is developing rapidly and has become the needs of every individual today,
especially internet technology. The development of internet technology has created many
types of social media. It is also supported by the development of mobile phone technology
(Smartphones/gadgets), which provides facilities for current social media users. Social media
usage makes it easier to communicate with friends and family who cannot meet due to long
distances. As it can be observed nowadays, social media is used as a medium to provoke
others. In addition, social media also has a negative impact on society. Providing false information or news (Hoax) and others. Social media can be said to be
a razor blade that can be used for good things and vice versa; it can be a means of killing and
destroying someone. Social media usage can change people’s character and behavior. The emergence and
growing development of social media nowadays impact children’s behavior at various levels,
such as society being less normal and interacting and communicating with the community
because they are too busy with their smartphones and do not care about their surroundings. Social media also usually causes children to become unruly because they do not want to learn
and spend their time playing with their devices. The emergence of a ‘top’ technology called
the smartphone is one of the causes of low interest in literacy or willingness to read books
because the features offered are more interesting, such as Twitter, Friendster, Facebook,
Instagram, YouTube, various games, and others that can seize the attention of most people
from reading books. The impact of technology and knowledge development is extensive in
using teaching materials in schools (Medina-Jerez, Middleton, & Orihuela-Rabaza, 2011). In
the learning implementation, most students pay less attention to the material, do not
understand it, and only expect grades. 2. Lack of Literacy Impacts 2. Lack of Literacy Impacts a. Lack of ability to understand, master, communicate, and use knowledge and technology
to produce high-quality products and develop the country. a. Lack of ability to understand, master, communicate, and use knowledge and technology
to produce high-quality products and develop the country. b. Lack of insight and limited knowledge can reduce thinking and easily overwhelm one with
negative notions and forces. b. Lack of insight and limited knowledge can reduce thinking and easily overwhelm one with
negative notions and forces. c. Lack of literacy skills will make someone’s creativity not develop. Creative thinking can
be realized when stakeholders can develop their thinking and react quickly to the
environment, which can be trained in literacy activities. The innovative ideas that occur
can cause a person to be more productive and beneficial for themselves and those around
them. d. Difficulty in improving someone’s quality due to lack of up-to-date information. 44 https://jayapanguspress.penerbit.org/index.php/IJMS e. Ignorance leads to indifference as they are reluctant to expand their knowledge and update
themselves with the latest information. It gradually causes the affected person to shut
down, become absorbed in their world, and ignore their surroundings. Lack of broad
insight tends to cause difficulties in social life, lacking the ability to interact and
communicate because they have less input than their friends around them who have broad
insight because of the amount of knowledge gained through literacy. g
g g
g
y
f. This reluctance of the younger generation is a loss to the nation that has lost the possession
of a qualified and productive giver of ideas for the country’s progress. g
g g
g
y
f. This reluctance of the younger generation is a loss to the nation that has lost the possession
of a qualified and productive giver of ideas for the country’s progress. 3. Implementation of Character Education Literacy p
y
Character education learning greatly affects values, norms, and personality formation,
especially among students, because they are the nation’s next generation (Regalsky & Laurie,
2007). Character education is essential for building a humane personality for the younger
generation. Furthermore, the generation is invited to read carefully (literacy) and think of
statements that can motivate them to deepen their desire to deepen religious teachings (Lopes
Cardozo, 2012). Based on these descriptions, the definition of literacy in character learning emphasizes
news comprehension skills that focus on some activities, such as reducing information,
displaying information, and verifying information. One way to develop students’ reading and
writing skills at school is by implementing or cultivating literacy and through habituation in
the classroom learning process in each subject. The implementation of character education
literacy can be seen as follows: https://jayapanguspress.penerbit.org/index.php/IJMS a. Implementation The implementation of character education literacy in the learning process, where
teachers use the curriculum application with a scientific approach through five stages of
activities, which are covered in four core competencies, namely as follows: 1) Observing, in which the process emphasizes the meaning that occurs in learning. 2) Questioning, carried out by the teacher, includes the strength dimension (Strength) (a)
inspiring students to improve and develop a strong belief in their potential, (b) having
a fighting spirit and not giving up easily when faced with obstacles in the learning
process in terms of attitudes, knowledge, and skills. 3) Exploring, the stages of thinking rationally and systematically from observable
empirical facts to gain knowledge through reasoning. Associating, this stage is used so
that students can use the scientific method and behavior to get answers to problems
faced in everyday life. 4) Communicating, networking or collaborative learning defines cooperation as a
structure of interactions systematically organized to facilitate the achievement of a
common goal. 4) Communicating, networking or collaborative learning defines cooperation as a
structure of interactions systematically organized to facilitate the achievement of a
common goal. g
Methods of Character Education Literacy Implementation g
b. Methods of Character Education Literacy Implementation y
p
1) Habituation Method
The method used in implementing character education literacy at school is the
habituation method. By implementing and familiarizing themselves with literacy,
students will have broad insight or knowledge that affects their character, especially in
thinking, acting according to religious teachings, and doing good. Hornberger &
Johnson (2007) states that instilling values or character teachings, such as moral ethics
coaching, can overcome student behavior deviations. Thinking, saying, and doing good
and right are inseparable and can be used to build human character. 1) Habituation Method
The method used in implementing character education literacy at school is the
habituation method. By implementing and familiarizing themselves with literacy,
students will have broad insight or knowledge that affects their character, especially in
thinking, acting according to religious teachings, and doing good. Hornberger &
Johnson (2007) states that instilling values or character teachings, such as moral ethics
coaching, can overcome student behavior deviations. Thinking, saying, and doing good
and right are inseparable and can be used to build human character. 45 https://jayapanguspress.penerbit.org/index.php/IJMS Good behavior can be achieved by controlling behavior with the ability to read and
have extensive knowledge related to phenomena, events, and issues owned or obtained
through literacy. Students can control themselves in their actions and know what they
can and cannot do. With high literacy skills, especially literacy in character, the actions
that will be carried out will be based on the teachings of truth 2) Learning Assignment Method
The assignment method can encourage students to be more active in learning and
understand mysteries and student learning outcomes (Luykx, 1996). Implementing the
assignment method to character learning activities encourages students to actively
participate and engage in learning activities presented in class and other representative
locations. Student assignments are done in various formats, such as a survey on a
particular subject, a discussion sequence, or another textbook description. 3) Discussion Method
The discussion method is a learning method related to problem-solving learning. The
discussion method is a presentation method. In the learning process, students are faced
with a problem that will be solved together in the form of a group and can conclude
their discussion results. Discussion is an exchange of ideas between several individuals
to have a common view of the perceived problem (Klaiber, 2009). g
Methods of Character Education Literacy Implementation Discussion is about
having several group members exchange ideas intertwined with problematic questions,
generate ideas, and review ideas and opinions to solve problems. The ability to have
responsive scientific skills (Aalborg, Sullivan, Cortes, Basagoitia, Illanes, & Green,
2016). The discussion method referred to in developing students’ literacy skills is by providing
a problem with the aim that students can exchange opinions to get answers, truths, and
solutions to the obstacles faced. The discussion method used in learning activities will be
able to stimulate students to think systematically, logically, critically, and innovatively in
developing their way of thinking in solving a problem. Developing literacy skills in the learning process can develop students’ critical attitude,
especially in answering various kinds of phenomena in society related to character. A critical
attitude in students is necessary to foster sensitivity regarding everything that happens,
especially in the surrounding environment. Thus, students must accept and filter the
information obtained through literacy. 4. Learning Strategy Strategy is a plan, step, and sequence in achieving a goal. Strategy is used as a reference
in placing the activity process through well-structured and planned steps. Strategy describes
the direction of action in achieving a targeted goal (Frisancho, & Reátegui, 2009). b. Discovery Learning Strategy Discovery learning is a learning process where students solve problems to develop their
knowledge and skills (Gurven, et al., 2013). The discovery learning model was chosen to
foster literacy skills in character education learning because it provides opportunities for
students to think, discover, discuss, and collaborate through scientific learning activities to
practice and improve critical thinking skills and find solutions, as well as gain knowledge
about ideas that affect the improvement of learning outcomes. Implementing a discovery
learning strategy requires students to be more active in reading, searching for information,
and knowledge to solve problems given by the teacher. It aims for students to have more
profound knowledge, memory, vocabulary, and understanding of the material studied longer
than students who only get information from the teacher. The learning implementation stage using the discovery learning strategy on character
education is when the teacher provides an issue or a problem related to the material to be
discussed with the Brainstorming method (collecting ideas or students’ initial knowledge
related to the material to be conveyed). Furthermore, students will search and collect data
about the material and problems given (exploring) through literacy or reading books. After
obtaining data or solutions related to the given issues, students will discuss or present the
results obtained (communicating). After the discussion, the teacher will invite students to
reflect or conclude together the results of the discussion and the material that has been
obtained. a. Inquiry Strategy Inquiry Learning Strategy is a series of learning activities emphasizing a perspective
and analytical way to get out of the intended problem (Hornberger, 1990). Inquiry strategy
emphasizes students’ activities in searching and finding. Inquiry strategy aims to foster
expertise in thinking systematically, logically, and critically in developing students’ thinking
skills through implementing reading and writing skills as part of the mental formation process
or intellectual skills development. To develop literacy skills through the inquiry strategy,
students need to learn how to rely on the material provided and how to use and develop their
potential. Developing literacy skills can help students develop their ability to think optimally,
solve problems, provide solutions to issues faced, and easily master learning materials. 46 https://jayapanguspress.penerbit.org/index.php/IJMS Conclusions Literacy skills are essential abilities that every student should have. In reality, there
was currently a lack of interest in literacy from students. Therefore, character education
learning strategies were necessary to foster and improve students’ literacy interests. Several
factors caused the low interest in reading. One of them was the rapid development of
technology that produced various types of social media and offers various interesting features
compared to reading books. Several methods were used to develop students’ literacy skills,
such as the habituation method, the learning assignment method, and the discussion method. In addition, the Inquiry Strategy and the Discovery Learning Strategy were used to develop
students’ literacy skills. References Aalborg, A., Sullivan, S., Cortes, J., Basagoitia, A., Illanes, D., & Green, M. (2016). Research
ethics training of trainers: developing capacity of Bolivian health science and civil
society leaders. Acta Bioethica, 22(2). Benson, C. (2004). Do we expect too much of bilingual teachers? Bilingual teaching in
developing countries. International Journal of Bilingual Education and Bilingualism,
7(2-3), 204-221. Faguet, J. P., & Sanchez, F. (2008). Decentralization’s effects on educational outcomes in
Bolivia and Colombia. World development, 36(7), 1294-1316. Frisancho, S., & Reátegui, F. (2009). Moral education and post‐war societies: the Peruvian
case. Journal of Moral Education, 38(4), 421-443. Gurven, M., Von Rueden, C., Massenkoff, M., Kaplan, H., & Lero Vie, M. (2013). How
universal is the Big Five? Testing the five-factor model of personality variation among
forager–farmers in the Bolivian Amazon. Journal of personality and social psychology,
104(2), 354. 47 https://jayapanguspress.penerbit.org/index.php/IJMS Hornberger, N. H. (1990). Creating successful learning contexts for bilingual literacy. Teachers College Record, 92(2), 212-229. Hornberger, N. H. (2009). Multilingual education policy and practice: Ten certainties
(grounded in Indigenous experience). Language Teaching, 42(2), 197-211. Hornberger, N. H., & Johnson, D. C. (2007). Slicing the onion ethnographically: Layers and
spaces in multilingual language education policy and practice. Tesol Quarterly, 41(3),
509-532. Klaiber, J. (2009). The Catholic Church, moral education and citizenship in Latin America. Journal of Moral Education, 38(4), 407-420. Lopes Cardozo, M. T. (2012). Transforming pre-service teacher education in Bolivia: from
indigenous denial to decolonisation?. Compare: A journal of comparative and
international education, 42(5), 751-772. Luykx, A. (1996). From Indios to profesionales: Stereotypes and student resistance in
Bolivian teacher training. The cultural production of the educated person: Critical
ethnographies of schooling and local practice, 239-272. Medina-Jerez, W., Middleton, K. V., & Orihuela-Rabaza, W. (2011). Using The Dast-C To
Explore Colombian And Bolivian Students’images Of Scientists. International Journal
of Science and Mathematics Education, 9, 657-690. Regalsky, P., & Laurie, N. (2007). ‘The school, whose place is this’? The deep structures of
the hidden curriculum in indigenous education in Bolivia. Comparative Education,
43(2), 231-251. https://jayapanguspress.penerbit.org/index.php/IJMS 48
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TINDAKAN NEGARA TERKAIT PERISTIWA G30S: STUDI MAKNA GADAMERIAN PADA PESELAMAT
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Paramita/Paramita: Historical Studies Journal
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TINDAKAN NEGARA TERKAIT PERISTIWA G30S:
STUDI MAKNA GADAMERIAN
PADA PESELAMAT Hamdan Tri Atmaja
Jurusan Sejarah, FIS Universitas Negeri Semarang
atmaja.hta@gmail.com ABSTRACT Tulisan ini mendeskripsikan secara mendalam
tindakan negara terkait peristiwa G30S. Metode
penelitian yang digunakan adalah penelitian
kualitatif dengan pendekatan hermeneutika yang
digagas Gadamer. Hasil penelitian menunjukkan
tindakan negara terhadap peselamat adalah mela-
kukan penangkapan, pemeriksaan, dan pena-
hanan serta memenjarakan mereka ke pulau
Buru (untuk peselamat laki-laki) dan Plantun-
gan (untuk peselamat perempuan). Peristiwa
G30S oleh peselamat dimaknai sebagai kisah
pembunuhan para jendral oleh PKI, bentuk kon-
spirasi
politik
memperebutkan
kekuasaan
Soekarno dengan latar belakang ideologi. Pe-
meriksaan dan penangkapan dimaknai peselamat
sebagai tindakan tidak beralasan, politik kambing
hitam,
dan
sebagai
bentuk
kesewenang-
wenangan terhadap peselamat. Kehidupan pen-
jara dimaknai peselamat sebagai bentuk kerja
paksa, hukuman dengan menstigmatisasi dan
mengisolasi kaum perempuan. This study aims to gain knowledge of a deep un-
derstanding of the state action related to the
G30S event. The research method used was a
qualitative
research
approach
initiated
by
Gadamer's hermeneutics. The results showed
that state action against survivors were to arrest,
investigate, and imprison them to the island of
Buru (for men survivors) and Plantungan (for
women survivors). The G30S event, by survi-
vors, was interpreted as a story of the assassina-
tion of the generals by Indonesian Communist
Party (PKI), as well as the form of a political
conspiracy for Sukarno’s power within ideologi-
cal background. Investigation and arrest were
interpreted by them as an act of unwarranted,
political scapegoat, and a form of abuse against
them. While prison life, for survivors, was as a
form of forced labor, punishment to stigmatize
and isolate women Keywords: State Action, the G30S event, Mean-
ing, and Survivor. Kata kunci: Tindakan Negara, Peristiwa G30S,
Makna, dan Peselamat. Kata kunci: Tindakan Negara, Peristiwa G30S,
Makna, dan Peselamat. Paramita Vol. 22 No. 2 - Juli 2012 [ISSN: 0854-0039]
Hlm. 198—206 PENDAHULUAN PKI mengandung monopoli kebenaran
yang selalu dipakai Orde Baru sebagai
bentuk tafsir tunggal atas kebenaran
sejarah pada sekitar tahun 1965
(Notosusanto dan Saleh, 1966; Manafe,
2008). Merujuk pada pemikiran tersebut,
maka dalam kajian penelitian ini, istilah
yang akan digunakan adalah G30S. Se-
mentara kata peselamat yang dimaksud
dalam tulisan ini mengacu pada korban
hidup (survivor) yaitu mereka yang di- G30S/PKI, adalah istilah yang
lazim diwacanakan untuk menggambar-
kan peristiwa penculikan para jenderal
yang dipimpin Letkol Untung, pada
tanggal 1 Oktober 1965 dini hari yang
berujung pada tewasnya enam jenderal
dan satu orang perwira. Penggunaan
istilah tersebut sangat bernuansa politis
dan berbau kontroversi. Istilah G30S/ Paramita Vol. 22 No. 2 - Juli 2012 [ISSN: 0854-0039]
Hlm. 198—206 : 131—248
Tindakan Negara terkait Peristiwa G 30 S - Hamdan Tri Atmaja tangkap karena anggota PKI dan Or-
masnya atau yang dianggap PKI. gara memanfaatkan balik kebisuan se-
bagai alat untuk menaklukannya. Di
sinilah negara menguasai peselamat,
sehingga makna tindakan negara atas
peristiwa G30S diproduksi dan dimo-
nopoli oleh negara. Makna peristiwa G30S yang
diproduksi dan dilestarikan negara,
dalam perspektif kekuasaan, memperli-
hatkan kekuasaan tidak hanya berada di
wilayah lembaga negara, tetapi kekua-
san merambah ke wilayah masyarakat. Kekuasaan merembes dalam kehidupan
sehari-hari dan memasuki ruang-ruang
sosial yang mendefiniskan subjek, objek,
dan realitas. Kekuasaan menjadi omni-
present, hadir di mana-mana dan
mampu mengendalikan wacana, suatu
keadaan dimana cara masyarakat me-
mandang dan memahami realitas, serta
menuturkannya di bawah kendali ke-
kuasaan (Supelli, 2000:41; Supelli, 2005). Kekuasaan juga menentukan sistem
makna dan kumpulan nilai yang
membingkai kemungkinan pemikiran
dan ekspresinya, untuk mengeluarkan
setiap ketidaksetujuan. Foucoult lebih
jauh mengatakan kekuasaan ada di
mana-mana, bukan mencakupi segala-
galanya, tetapi karena datang dari mana
-mana, kekuasaan berfungsi sebagai un-
sur yang tak terhitung jumlahnya, ke-
kuasaan tidak hanya bersifat represif
tetapi juga produktif dan positif
(Foucoult, 1997 : 113). Dari serangkaian paparan tentang
tindakan negara atas peristiwa G30S
seperti tersebut di atas, menunjukkan
bahwa kajian tentang G30S dari pers-
pektif peselamat, sarat dengan persoa-
lan-persoalan kesadaran bersama me-
ngenai humanisasi hidup. Kesadaran ber-
sama ini akan menghasilkan sebuah ke-
sepekatan dialogis, bahwa manusia bisa
hancur atau binasa jika negara mem-
biarkan kejahatan atas manusia. PENDAHULUAN Dari
kesadaran tersebut, perlu secara prinsip
menyatakan bahwa ada tindakan-
tindakan yang mengingkari martabat
manusia, dan tindakan-tindakan itu ti-
dak boleh dibiarkan, karena kehadiran
bersama manusia memunculkan kesa-
daran etis untuk tidak membiarkan
munculnya situasi yang akan menye-
babkan kebinasaan orang lain, atau
situasi yang menyebabkan orang lain
menjalani kehidupan tidak manusiawi. Disinilah pentingnya membangun i-
ngatan bersama atas masa lampau me-
lalui perdebatan-perdebatan jujur se-
hingga melahirkan historical accountabil-
ity. Ingatan bersama yang bersih dari
politisasi, sehingga tidak dijadikan pija-
kan untuk mengulangi kekejaman di
masa yang akan datang. Situasi semacam ini, membuat
para peselamat kehilangan ruang publik
untuk menuturkan pengalaman pribadi-
nya. Peselamat merasa bahwa penga-
laman pribadinya berada di luar realitas
yang sedang berjalan. Peselamat tidak
mampu mengaktualisasikan pengalam-
annya ke dalam wacana yang bukan
mengandung pemikirannya. Ketidak-
berdayaan ini menjadi keberhasilam ne-
gara melakukan perintah untuk bung-
kam, Foucoult menyebutnya sebagai
arkeologi kebisuan. Kebisuan peselamat
dijadikan sebagai garis pertahanan ter-
depan oleh negara, yang ampuh untuk
menyangkal dan menyingkirkan pese-
lamat. Ketika peselamat bertutur, ne- y
g
g
Kajian tentang ingatan bersama
dari perspektif peselamat, pernah dila-
kukan oleh Urvashi Butalia seorang to-
koh feminis dari India. Dengan fokus
kajian tentang pembelahan India, Ur-
vashi menangkap akibat pembelahan
India yang menimbukan kematian,
penggusuran, keterenggutan, pemerko-
saan, kehilangan rumah, serta kehilang-
an keluarga dan sanak saudaranya
(Butalia, 2002). Penelitian lain dilaku-
kan oleh Jaringan Kerja Budaya (JKB). 199 Paramita Vol. 22, No. 2 - Juli 2012: 131—248 adalah tindakan negara atas peristiwa
G30S dari perspektif negara itu sendiri. Dengan menggali intepretasi peselamat
tentang tindakan negara atas peristiwa
G30S, akan didapatkan keseimbangan
intepretasi, sehingga akan muncul
makna baru tentang tindakan negara
peristiwa G30S, sebagai antitesis atas
makna yang diproduksi negara selama
ini, sehingga terbuka ruang dialog un-
tuk memahami realitas tindakan negara
atas peristiwa G30S. Melalui oral histories
(sejarah lisan) secara spesifik, tulisan
ini mencoba mengungkap tindakan ne-
gara terhadap peselamat terkait dengan
peristiwa G30S dan bagaimana pese-
lamat memaknai tindakan negara terha-
dap dirinya terkait dengan peristiwa
G30S. Penelitian yang mencoba mengungkap
keberagaman ingatan sosial para pese-
lamat atas peristiwa G30S (Rossa dkk,
2004). Saskia Elenora Wieringa, dengan
mengambil topik sekitar peristiwa G30S
dan fokus kajiannya tentang Gerwani. Mencoba mengungkap kebenaran
tersembunyi di balik cerita-cerita ten-
tang perbuatan seksual yang tidak
senonoh dan kebejatan moral yang dila-
kukan para gerwani pada saat peristiwa
G30S (Wieringa, 1999). PENDAHULUAN g
Penelitian lain tentang peselamat
yang terkait dengan kajian tentang
makna dilakukan oleh Teria Shantall. Penelitian Teria mengungkap penga-
laman peselamat dalam sebuah tragedi
politik, dengan subjek penelitian adalah
para peselamat dalam tragedi Holou-
coust di Afrika Selatan (Shantall, 1999). Kajian mendalam tentang makna den-
gan menggunakan pendekatan herme-
neutika, dilakukan Utan Parlindungan. Sebuah penelitian yang mempertanya-
kan mengapa dan bagaimana genjer-
genjer dijangkiti ambiguitas makna,
yang di satu sisi diletakkan di aras ter-
hormat kultural (folksong) sebagai media
kritik terhadap penjajahan, dan di sisi
lain berakhir secara dramatis sebagai
lagu manifesto PKI hingga mengalami
pelarangan Orde Baru (Parlindungan,
2007). Kajian tentang penjara Buru per-
nah dilakukan oleh Krisnadi (2000). Ia
melakukan kajian terhadap tahanan
politik di Pulau Buru pada tahun 1969-
1979. Selain itu ada pula penuturan pe-
selamat yang menguraikan ceritanya
ketika tengah berada pada pengasingan. Demokrano (2006) misalnya mengi-
sahkan kisahnya selama 11 tahun dalam
penjara Orde Baru. METODE PENELITIAN Jenis penelitian yang digunakan
dalam penelitian ini adalah penelitian
kualitatif dengan pendekatan interpreta-
tif, yang digagas Gadamer yaitu
fenomenologi hermeneutika. Dalam
fenomenologi hermeneutika, makna
suatu tindakan atau fenomena bukanlah
sesuatu yang ada pada tindak itu
sendiri, tetapi terbuka bagi adanya
penafsiran baru sesuai dengan kreativi-
tas penafsir (Gadamer, 2004). Sebuah
fenomena yang sudah dilempar ke ru-
ang publik sepenuhnya menjadi milik
penafsir dengan berbagai interpre-
tasinya (Raharjo, 2008). Dalam hal ini,
interprestasi bukan hanya sebatas mere-
produksi makna, tetapi juga mempro-
duksi makna. Akhirnya makna yang
diproduksi itu sendiri sangat terbuka
dengan tafsir makna baru sesuai dengan
perkembangan waktu dan zamannya. Dari kajian penelitian tersebut di
atas menginspirasi untuk melakukan
penelitian, khususnya terkait dengan
tindakan negara terkait peristiwa G30S
dari perspektif peselamat. Selama ini,
yang sudah banyak terpublikasikan Subjek yang perlu didengar, di-
mengerti, digali dan terus diungkap
dunia realitas di balik yang tampak,
agar apa yang implisit menampakkan 200 : 131—248
Tindakan Negara terkait Peristiwa G 30 S - Hamdan Tri Atmaja dirinya menjadi eksplisit adalah pese-
lamat yang pernah di penjara di pulau
Buru dan Plantungan atau pernah di
tahan tetapi tidak sampai Plantungan
dan pulau Buru. Berdasarkan pengga-
lian data di lapangan, dapat dijaring
tujuh peselamat sebagai subjek peneli-
tian. Ketujuh peselamat tersebut pada
masa lalu tergabung dalam organisasi
sosial politik yang berbeda-beda seperti
SB Tekstil, IPPI/Lekra, PKI/PR, PGTI
dan CGMI, dan dua orang peselamat
mengaku tidak pernah ikut dalam or-
ganisasi. Disamping itu tujuh peselamat
yang terpilih memenuhi kriteria yang
unik dan spesifik, seperti memiliki pe-
ngalaman khas, memiliki harapan-
harapan sendiri, yang pada intinya
berusaha menemukan kedalaman
(depth), kekayaan (richness) dan kom-
pleksitas (complexity) (Sparringa, 2008). dari dalam dirinya sendiri terhadap diri
masyarakat tertentu. Secara garis besar,
langkah-langkah analisis data dapat
dirumuskan sebagai berikut. Pertama,
menentukan subjek penelitian. Kedua,
mengumpulkan data dengan melaku-
kan wawancara mendalam sesuai deng-
an panduan wawancara. Ketiga, mela-
kukan kategorisasi atau pengelompokan
data. Keempat, setelah semua data
terkumpul dan diurutkan secara kro-
nologis, langkah berikutnya adalah me-
reduksi data atau menyusun narasi se-
jarah hidup pengalaman peselamat. Ke-
lima, melakukan telah dan pengungkap-
an keserbamaknaan pengalaman pese-
lamat, atau konstruksi peselamat atas
pengalamannya terkait dengan tindakan
negara atas peristiwa G30S. HASIL DAN PEMBAHASAN Pengumpulan data dalam peneli-
tian ini menggunakan wawancara men-
dalam. Dalam wawancara mendalam
ini, peneliti berupaya menyelam ke
dalam dunia psikologis dan sosial sub-
jek penelitian. Jenis wawancara men-
dalam yang dipilih adalah wawancara
sejarah hidup (life history interview),
perlu dicatat disini sejarah hidup yang
dimaksud bukanlah otobiograsi konven-
sional ataupun fiksi, meskipun narasi
subjektif penulisnya mirip dengan na-
rasi dan pandangan penulis dalam oto-
biografi. Sejarah hidup disini lebih
memperhatikan pengalaman subjek dan
penafsirannya atas dunia dan penga-
lamannya. Artinya dengan sejarah
hidup berarti menempatkan peran, dan
hidup peselamat sebagaimana mereka
melihatnya, bukan penafsiran orang lain
atau peneliti tetapi penafsirannya
sendiri. Peristiwa G30S dalam Perspektif Pese-
lamat Peristiwa G30S dalam Perspektif Pese-
lamat Peselamat perempuan berpendi-
dikan SD dan tidak memiliki latar be-
lakang politik apapun, memaknai
peristiwa G30S sebagai pembunuhan
para jenderal oleh PKI, dengan imbas-
nya menghukum orang-orang yang ti-
dak bersalah. Pemaknaan ini dibangun
tidak didasarkan pada analisis kritis,
tetapi hanya sebatas masuknya infor-
masi tentang meninggalnya para
jenderal oleh PKI. Ketidakmampuan
peselamat mencerna informasi yang
diperoleh mengenai peristiwa G30S,
membenarkan bahwa terbunuhnya para
jenderal memang dilakukan oleh PKI. Pembenaran tersebut tidak menunjuk-
kan keberpihakan pada salah satu ke-
kuatan politik tertentu, tetapi semata-
mata karena peselamat merasa tidak
tahu apa-apa tentang peristiwa G30S. Teknik analisis yang digunakan
dalam penelitian ini adalah teknik anali-
sis kualitatif sejarah hidup. Teknik ini
mampu untuk melihat reaksi, tangga-
pan, intepretasi, pandangan individu Peselamat perempuan, yang
memiliki latar belakang komunis, 201 Paramita Vol. 22, No. 2 - Juli 2012: 131—248 seperti aktif dalam ormas IPPI dan
Lekra, memaknai peristiwa G30S seba-
gai pembunuhan para jenderal oleh PKI. Akan tetapi, tidak semua orang PKI ter-
libat dalam peristiwa tersebut. Pe-
maknaan ini didasarkan pada apa yang
dialami dan dirasakan pada waktu itu. Ketika G30S itu meletus, peristiwa itu
benar-benar membingungkan bagi dir-
inya. Menurutnya, semua informasi ten-
tang peristiwa G30S justru didapatkan
dari isu yang berkembang di masyara-
kat. Hampir semua orang menyimpul-
kan PKI adalah dalang dan pelaku
dalam peristiwa G30S dan kesimpulan
ini diperoleh secara berulang-ulang mu-
lai dari sebelum masuk penjara, ada
dalam penjara, sampai dengan keluar
dari penjara. Ruang politik seperti ke-
luarga yang berhaluan komunis, justru
tidak banyak memberi informasi apa-
apa tentang peristiwa G30S. meskipun tidak semuanya terlibat
dalam dunia politik praktis, tetapi
mereka telah menunjukkan ideologi
politik ayang dianutnya. Keberagaman
tersebut ditunujukan dengan adanya
silang pendapat sebagai berikut: G30S
sebagai persoalan persaingan antara
TNI-AD dan PKI, persoalan G30S meru-
pakan konspirasi politik yang menem-
patkan PKI dan Amerika sebagai bagian
perebutan kekuasaan, dan peristiwa
G30S sebagai perebutan kekuasaan
Soekarno dengan latar belakang
ideologi. Penangkapan dan Pemeriksaan Pese-
lamat Pasca-peristiwa G30S, negara se-
cara represif melakukan penangkapan
terhadap orang-orang yang diduga
menjadi anggota PKI atau menjadi ang-
gota ormas PKI, tanpa ada sedikit pun
celah untuk membela dirinya. Hasil
penelitian ini, menunjukkan bahwa
penangkapan terhadap mereka dilaku-
kan langsung oleh petugas dengan cara
mendatangi rumah peselamat. Secara
garis besar aktivitas penangkapan dan
pemeriksaan terhadap peselamat dapat
digambarkan pada tabel 1. Peristiwa G30S dimaknai pula se-
bagai perebutan kekuasaan antar-elite
politik, hal ini menunjukkan adanya
para elite politik yang bertikai mem-
perebutkan kekuasaaan. Elite politik
mana yang bertikai memperebutkan ke-
kuasaan, dalam perspektif peselamat
memunculkan berbagai keragaman pen-
dapat. Keberagaman pendapat ini
menunjukkan adanya keberpihakan
pada ideologi politik tertentu pada pese-
lamat sesuai dengan keyakinan ideologi
yang dianutnya. Ini dapat disadari,
mengingat mereka para peselamat Dari tabel tersebut dapat dijelas-
kan bahwa tahun penangkapan pada
peselamat berbeda-beda. Empat orang
peselamat ditangkap beberapa bulan
setelah peristiwa G30S, sehingga masih Tabel 1 Penangkapan dan Pemeriksaan Terhadap Peselamat No. Peselamat
Tahun
Ditangkap
Tempat
Penangkapan
Waktu
Tangkap
Kekerasan
Fisik
Pelecehean
Seksual
1
2
3
4
5
6
7
Kustini
Sunari
Sariatun
Sumito
Suparno
Abdullah
Wiratmo
1965
1967
1965
1967
1965
1969
1965
Rumah
Rumah
Perjalanan
Rumah
Sekolah
Rumah
Rumah
Siang
Malam
Malam
Malam
Siang
Siang
Siang
x
x
x
x
x
x
x
-
-
x
-
-
-
-
Tabel 1 Penangkapan dan Pemeriksaan Terhadap Peselamat 202 : 131—248
Tindakan Negara terkait Peristiwa G 30 S - Hamdan Tri Atmaja kuensi, orang-orang PKI atau mereka
yang ada di ormasnya, ditangkap dan
diperiksa. Padahal, tidak semua orang
PKI atau yang ada di ormasnya menge-
tahui soal pembunuhan para jenderal. Para peselamat yang memaknai penang-
kapan dan pemeriksaan sebagai politik
kambing-hitam, dibangun oleh dua pe-
selamat yang berlatar belakang sebagai
pegawai. Sebagai pegawai negeri, se-
benarnya mereka tidak terlibat dalam
dunia politik, hanya secara kebetulan
mereka bergabung dalam organisasi
profesi seperti PGTI. Bahkan Peselamat
lain yang berstatus sebagai pegawai
Jawatan Pertanian tdak pernah menjadi
anggota PKI ataupun Ormas PKI, hanya
secara kebetulan pernah ikut kursus
Kader Calon PKI, tetapi mereka tetap
ditangkap dan di buang ke pulau Buru. di tahun 1965, dimana suhu politik ma-
sih cukup memanas. Tiga orang pese-
lamat ditangkap setelah tahun 1965,
setelah terjadi pergantian kekuasaan
dari Soekarno ke Soeharto. Waktu
penangkapan terjadi pada siang dan
malam hari, hampir seluruh peselamat
mengalami penyiksaan fisik saat pe-
meriksaan, dan salah seorang peselamat
mengalami pelecehan seksual pada saat
pemeriksaan. Penangkapan dan Pemeriksaan Pese-
lamat Peselamat perempuan yang tidak
merasa menjadi anggota Gerwani, me-
maknai penangkapan terhadap dirinya
sebagai tindakan tidak beralasan atau
mengada-ada. Dengan menggunakan
kata “Gerwani” maka semua aktivitas
perempuan berhaluan kiri disebut deng-
an Gerwani. Kata “Gerwani” dilekatkan
pada semua kaum perempuan yang di-
tangkap, sehingga semua perempuan
yang ditangkap tuduhannya sama seba-
gai Gerwani. Padahal, dua peselamat
yang dalam pengakuannya hanya men-
jadi anggota Serikat Buruh Tekstil dan
Lekra tidak pernah merasa menjadi ang-
gota Gerwani. Dalam pemeriksaan, pe-
selamat terus dipojokkan dengan tudu-
han sebagai anggota Gerwani yang per-
nah ke Lubang Buaya, membunuh, dan
menyiksa para jenderal. Menjawab seju-
jurnya dengan mengatakan “bukan Ger-
wani”, tidak berarti dibebaskan dari se-
mua tuduhan, tetapi justru sebaliknya
mendapat penyiksaan. g
p
g
p
Penangkapan dan pemeriksaan
oleh peselamat dimaknai juga sebagai
bentuk kesewenang-wenangan terhadap
orang-orang yang memiliki keterkaitan
dengan PKI baik secara langsung atau-
pun tidak langsung dengan tujuan un-
tuk menghancurkan paham komunis di
Indonesia. Ketika penangkapan dan pe-
meriksaan dimaknai sebagai kesewe-
nang-wenangan, maka semua orang
yang bersentuhan dengan paham komu-
nis, baik dalam bentuk aktivitas politik,
budaya, ekonomi, maupun sosial,
adalah orang-orang yang dianggap terli-
bat dalam peristiwa G30S. Mereka yang
pernah bersentuhan dengan PKI dan
ormasnya dalam pandangan negara
adalah orang-orang yang berbahaya,
yang dimungkinkan dapat menum-
buhkan benih-benih paham komunis. Di
samping itu, negara menganggapnya
sebagai orang yang bersalah, yang pan-
tas untuk mendapat hukuman. Kesewe-
nang-wenangan itu ditunjukkan dengan
tidak adanya parameter yang jelas
dalam proses penangkapan. Satu-
satunya parameter yang digunakan
adalah keterkaitan seseorang dengan Penangkapan dan pemeriksaan
terhadap orang-orang PKI atau mereka
yang ada dalam ormas PKI, dimaknai
pula sebagai politik kambing-hitam un-
tuk meligitimasi kekuasaan. Kambing-
hitam yang dimaksud di sini adalah
PKI. Ini menunjukkan pembunuhan
para jenderal di Jakarta merupakan
perebutan antar elit kekuasaan, ke-
mudian digeneralisasikan bahwa semua
orang PKI atau mereka yang ada di Or-
mas PKI sebagai orang yang terlibat dan
bertanggung jawab. Sebagai konse- 203 Paramita Vol. 22, No. 2 - Juli 2012: 131—248 PKI, baik secara langsung ataupun tidak
langsung. garis besar keberadaan peselamat dalam
penjara dapat digambarkan pada tabel
2. Pemaknaaan penangkapan dan
pemeriksaan sebagai bentuk kesewe-
nang-wenangan, dibangun oleh pese-
lamat yang menjadi anggota PKI. Pese-
lamat merasa tidak terlibat dan tidak
bersalah atas pembunuhan para
jenderal. Memang benar dirinya ang-
gota PKI, tetapi walaupun anggota PKI
tidak berarti tahu tentang skenario pem-
bunuhan para jenderal. Penangkapan dan Pemeriksaan Pese-
lamat Peselamat
meyakini kalau pembunuhan para
jenderal hanya dilakukan oleh elit-elite
politik PKI, bukan merupakan kebijakan
partai. Maka sudah seharusnya mereka
elite politik yang dihukum, bukan se-
mua orang PKI dihukum. Pemaknaan
ini dibangun pula oleh Peselamat yang
merasa tidak pernah menjadi anggota
PKI dan tidak pernah terjun dalam
politik praktis, bahwa penangkapan dan
pemeriksaan yang menimpa dirinya me-
rupakan tindakan kesewenang-
wenangan. Berdasarkan pada sebaran data
tersebut, enam peselamat digolongkan
dalam klasifikasi B, dengan penjara tera-
khir untuk laki-laki pulau Buru, dan un-
tuk wanita Plantungan, serta satu pese-
lamat digolongkan dalam klasifikasi C
dipenjarakan di LP. Aktivitas inti yang
dilakukan untuk tiga peselamat laki-laki
bertani, dua peselamat lainnya ditugasi
untuk bidang administrasi. Untuk pese-
lamat wanita aktivitas utama yang dila-
kukan membuat kerajinan, seperti
menyulam, menjahit, membuat kristik
dan sebagainya disamping aktivitas-
aktivitas lainnya. Lamanya waktu di
penjara bagi mereka yang dikirim ke
Plantungan atau Pulau Buru rata-rata
lebih dari sepuluh tahun, empat pese-
lamat menjalani hidup di penjara di atas
sepuluh tahun, dua peselamat sepuluh
tahun, dan satu peselamat yang dipen-
jarakan LP, menjalani hidup di penjara
selama dua tahun. Kehidupan penjara dimaknai se-
bagai kerja paksa. Peselamat diposisikan
sebagai sumber daya manusia, yang
tenaganya dieksploitasi untuk kepentin-
gan kerja tertentu. Ini artinya, penem-
patan tahanan politik PKI di Pulau Buru
dalam kacamata peselamat bukanlah
proyek rehabilitasi mental, tetapi seba-
gai proyek membuka Pulau Buru, untuk
kepentingan ekonomi. Pemaknaan ini
dibangun peselamat yang ditahan Kehidupan Penjara dalam Pandangan
Peselamat Setelah dilakukan penangkapan,
pemeriksaan, dan penahanan, langkah
berikutnya adalah negara memenjara-
kan peselamat. Perjalanan menuju pen-
jara secara permanen cukup panjang,
dan masing-masing peselamat memiliki
pengalaman yang berbeda-beda. Secara Tabel 2 Keberadaan Peselamat dalam Penjara Tabel 2 Keberadaan Peselamat dalam Penjara No. Peselamat
Gol. Penjara Terakhir
Aktivitas
Lama di Pen-
jara
1
2
3
4
5
6
7
Kustini
Sunari
Sariatun
Sumito
Suparno
Abdullla
Wiratmo
B
B
B
B
C
B
B
Plantungan
Buru
Plantungan
Buru
LP
Buru
Buru
Membuat Kerajinan
Bertani
Membuat Kerajian
Administrasi
Adminstrasi
Bertani
Bertani
13 tahun
11 tahun
14 tahun
10 tahun
2 tahun
10 tahun
13 tahun
Tabel 2 Keberadaan Peselamat dalam Penjara 204 : 131—248
Tindakan Negara terkait Peristiwa G 30 S - Hamdan Tri Atmaja karena melindungi orang-orang dari
pengejaran petugas dan massa. Pe-
maknaan ini tidak jauh berbeda dengan
yang dialami peselamat yang ditahan
karena dirinya menjadi anggota PKI. Menurutnya, memang benar kehidupan
dipenjara seperti kerja paksa. Tahanan
diperintahkan untuk kerja, kemudian
diawasi secara ketat, dan tahanan
merasakan hanya punya waktu longgar
saat istirahat siang dan tidur. Pengala-
mannya di pulau Buru memperkuat ar-
gumentasinya, bahwa peselamat di pu-
lau Buru bukanlah melakukan rehabili-
tasi mental, tetapi lebih tepat kerja
paksa. selamat perempuan. Negara mengang-
gap peselamat perempuan sebagai Ger-
wani yang berbahaya dan tidak ber-
moral, sehingga perlu disingkirkan dari
kehidupan keluarga, seperti suami dan
anak pada khususnya, serta kehidupun
masyarakat pada umumnya. SIMPULAN Berdasarkan temuan dalam
penelitian ini, dapat disimpulkan bahwa
tindakan yang dilakukan negara terha-
dap peselamat adalah melakukan
penangkapan, pemeriksaan, dan pena-
hanan serta memenjarakan mereka ke
pulau Buru (untuk peselamat laki-laki)
dan Plantungan (untuk peselamat per-
empuan). Semua ini dilakukan negara
dengan anggapan, bahwa mereka yang
pernah bersentuhan dengan paham ko-
munis terlibat dalam peristiwa G30S. Karena itu, negara melakukan penang-
kapan terhadap mereka yang pernah
menjadi anggota ormas PKI dan mereka
yang secara langsung menjadi anggota
PKI. Peselamat juga memaknai ke-
hidupan penjara sebagai pembuangan
peselamat dengan tujuan menying-
kirkan dari kehidupan masyarakat. Dalam perspektif ini, negara memposisi-
kan orang-orang PKI menjadi orang
yang memiliki kemungkinan dapat
meracuni dan menyebarkan ideologi
komunis di tengah-tengah masyarakat. Pemaknaan ini dikonstruksikan oleh
peselamat yang kebetulan berlatar be-
lakang pegawai negeri dan pernah ikut
Kursus Kader PKI, dan peselamat yang
anggota PKI serta peselamat yang per-
nah menjadi anggota CGMI. Semua
atribut yang menempel pada diri pese-
lamat, baik sebagai anggota PKI atau
ormas PKI, menjadi keyakinan pada pe-
selamat, bahwa dirinya memang harus
dibuang ke Pulau Buru, dalam rangka
membersihkan PKI sampai ke akar-
akarnya. Keberagaman makna tentang
peristiwa G30S yang dibangun pese-
lamat menunjukkan titik persamaaan
yang dirasakan oleh seluruh peselamat,
bahwa peselamat merasa tidak menjadi
bagian dalam peristiwa tersebut atau
dengan kata lain peselamat tidak terli-
bat dalam peristiwa G30S. Baik pese-
lamat yang menjadi anggota PKI, ang-
gota ormas PKI, simpati pada figur
Soekarno dan yang tidak berlatar be-
lakang ideologi apapun tidak merasa
dirinya terlibat dalam peristiwa G30S. Peristiwa G30S benar-benar persoalan
para elite politik. Kalau memang benar
PKI dianggap terlibat dalam peristiwa
tersebut, itu secara resmi bukan kebija-
kan partai, tetapi kebijakan para elite
politik PKI. Dalam perspektif peselamat per-
empuan, kehidupan di penjara di-
maknai sebagai bentuk hukuman deng-
an menstigmatisasi dan mengisolasi
kaum perempuan dari kehidupan
masyarakat. Pada konteks ini, perem-
puan yang berhaluan komunis dibunuh
secara sistematis jatidiri dan karak-
ternya. Stigmatisasi Gerwani yang
berkonotasi negatif dilekatkan pada pe- Berkaitan dengan keberagaman 205 Paramita Vol. 22, No. 2 - Juli 2012: 131—248 makna tentang penangkapan dan pe-
meriksan menunjukkan adanya per-
spektif yang sama pada peselamat,
bahwa semua tuduhan yang ditujukan
pada peselamat tidak benar. Kalau
dalam pemeriksaan peselamat harus
mengakui semua tuduhan tersebut, hal
itu disebabkan faktor keterpaksaan,
karena peselamat merasa tidak mampu
menahan siksaaan demi siksaan. SIMPULAN Semen-
tara itu, keberagaman makna dalam ke-
hidupan penjara, menunjukkan adanya
pengalaman yang sama dari seluruh
peselamat, bahwa kehidupan penjara
merupakan kerja paksa dan upaya ne-
gara menjauhkan peselamat dari ke-
hidupan masyarakat serta stigmatisasi
terhadap peselamat sebagai tahanan
politik. Demokrano, A. Gumelar. 2006. Dari Kalong
sampai Pulau Buru, 11 tahun dalam
Sekapan, Penjara, Pembuangan, Dan
Kerja Rodi. Yogyakarta: Pusat Sejarah
dan Etika Politik. Foucoult, Michel. 1997. Sex dan Kekuasaan:
Sejarah Sexualitas. Penerjemah Rahayu
S. Hidayat.Jakarta: Gramedia. Foucoult, Michel. 1997. Sex dan Kekuasaan:
Sejarah Sexualitas. Penerjemah Rahayu S. Hidayat.Jakarta: Gramedia. Gadamer, Hans-Georg. 2004. Kebenaran dan
Metode. Pengantar Filsafat Herme-
neutika. Penerjemah Ahmad Sahidah. Yogyakarta: Pustaka Pelajar. Krisnadi, G. 2000. Tahanan Politik Pulau Buru
1969-1979. Jakarta: LP3S. Manafe, Aco. 2008. Teperpu, Mengungkap
Pengkhianatan PKI Pada Tahun 1965
Dan Proses Hukum Bagi Para Pelakunya. Jakarta: PT Pustaka Sinar Harapan. Notosusanto, Nugroho dan Saleh, Ismail. 1966. The Coup Attempt of the September
30 Movement in Indonesia. Jakarta:
Pembimbing Massa. p
Dari seluruh pemaknaan yang di-
bangun peselamat, ada konsistensi pe-
maknaan, yakni konsistensi bahwa se-
luruh tindakan negara terkait dengan
peristiwa G30S, sebagai negativitas ke-
kuasaan. Negativitas tersebut menyang-
kut sikap atau perilaku negara yang
dirasakan peselamat, seperti stigma-
tisasi, prasangka, trauma, teror atau an-
caman, politik kambing hitam, dan
hiperpobia. Keberagaman pemaknaan
yang dibangun juga menunjukkan
penyingkapan “Ada” pada diri pese-
lamat yang merasa dirinya sebagai
korban, dan penyingkapan “Ada” ne-
gara, yang menganggap peselamat seba-
gai “Yang lain”. Ketika peselamat di
pandang “Yang Lain” oleh negara,
maka “Yang Lain” dianggap berbeda
dan bukan anggota kelompok. Oleh
karena itu “Yang Lain” bisa dianggap
sebagai ancaman. Parlindungan, Utan. 2007. Musik dan Politik:
Genjer-Genjer, Kuasa dan Kontestasi
Makna. Yogyakarta: Laboraorium Ju-
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The impact of extracerebral organ failure on outcome of patients after cardiac arrest: an observational study from the ICON database
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© The Author(s). 2016 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: jlvincent@intensive.org
1Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles,
Brussels, Belgium
Full list of author information is available at the end of the article The impact of extracerebral organ failure
on outcome of patients after cardiac arrest:
an observational study from the ICON
database Leda Nobile1, Fabio S. Taccone1, Tamas Szakmany2,10, Yasser Sakr3, Stephan M. Jakob4, Tommaso Pellis5,
Massimo Antonelli6, Marc Leone7, Xavier Wittebole8, Peter Pickkers9, Jean-Louis Vincent1* and on behalf of the
ICON Investigators Open Access RESEARCH
Open Access
The impact of extracerebral organ failure
on outcome of patients after cardiac arrest:
an observational study from the ICON
database
Leda Nobile1, Fabio S. Taccone1, Tamas Szakmany2,10, Yasser Sakr3, Stephan M. Jakob4, Tommaso Pellis5,
Massimo Antonelli6, Marc Leone7, Xavier Wittebole8, Peter Pickkers9, Jean-Louis Vincent1* and on behalf of the
ICON Investigators The impact of extracerebral organ failure
on outcome of patients after cardiac arrest:
an observational study from the ICON
database Nobile et al. Critical Care (2016) 20:368
DOI 10.1186/s13054-016-1528-6 Nobile et al. Critical Care (2016) 20:368
DOI 10.1186/s13054-016-1528-6 Abstract Background: We used data from a large international database to assess the incidence and impact of extracerebral
organ dysfunction on prognosis of patients admitted after cardiac arrest (CA). Methods: This was a sub-analysis of the Intensive Care Over Nations (ICON) database, which contains data from all
adult patients admitted to one of 730 participating intensive care units (ICUs) in 84 countries from 8–18 May 2012,
except admissions for routine postoperative surveillance. For this analysis, patients admitted after CA (defined as
those with “post-anoxic coma” or “cardiac arrest” as the reason for ICU admission) were included. Data were
collected daily in the ICU for a maximum of 28 days; patients were followed up for outcome data until death,
hospital discharge, or a maximum of 60 days in-hospital. Favorable neurological outcome was defined as alive at
hospital discharge with a last available neurological Sequential Organ Failure Assessment (SOFA) subscore of 0–2. Methods: This was a sub-analysis of the Intensive Care Over Nations (ICON) database, which contains data from all
adult patients admitted to one of 730 participating intensive care units (ICUs) in 84 countries from 8–18 May 2012,
except admissions for routine postoperative surveillance. For this analysis, patients admitted after CA (defined as
those with “post-anoxic coma” or “cardiac arrest” as the reason for ICU admission) were included. Data were
collected daily in the ICU for a maximum of 28 days; patients were followed up for outcome data until death,
hospital discharge, or a maximum of 60 days in-hospital. Favorable neurological outcome was defined as alive at
hospital discharge with a last available neurological Sequential Organ Failure Assessment (SOFA) subscore of 0–2. Results: Among the 469 patients admitted after CA, 250 (53 %) had had out-of-hospital CA; 210 (45 %) patients
died in the ICU and 357 (76 %) had an unfavorable neurological outcome. Non-survivors had a higher incidence of
renal (43 vs. 16 %), cardiovascular (56 vs. 45 %), and respiratory (62 vs. 48 %) failure on admission and during the ICU
stay than survivors (all p < 0.05). Similar results were found for patients with unfavorable vs. favorable neurological
outcomes. In multivariable analysis, independent predictors of ICU mortality were renal failure on admission, high
admission Simplified Acute Physiology Score (SAPS) II, high maximum serum lactate levels within the first 24 h after ICU
admission, and development of sepsis. Data collection Demographics and comorbid diseases (including chronic
obstructive pulmonary disease, solid or hematologic cancer,
liver cirrhosis, heart failure, acquired immunodeficiency
syndrome, chronic renal failure, immunosuppression, se-
vere malnutrition, and insulin-dependent diabetes mellitus)
were collected on admission. Clinical and laboratory data
for the Simplified Acute Physiology Acore (SAPS) II [13]
and the Acute Physiology and Chronic Health Evaluation
(APACHE) II [14] scores were reported as the worst
values within the first 24 h after ICU admission. Microbiological and clinical infections were reported
daily. A daily assessment of organ function was per-
formed using the SOFA score [15]. Abstract Independent predictors of unfavorable neurological outcome were mechanical
ventilation on admission, high admission SAPS II score, and neurological dysfunction on admission. Results: Among the 469 patients admitted after CA, 250 (53 %) had had out-of-hospital CA; 210 (45 %) patients
died in the ICU and 357 (76 %) had an unfavorable neurological outcome. Non-survivors had a higher incidence of
renal (43 vs. 16 %), cardiovascular (56 vs. 45 %), and respiratory (62 vs. 48 %) failure on admission and during the ICU
stay than survivors (all p < 0.05). Similar results were found for patients with unfavorable vs. favorable neurological
outcomes. In multivariable analysis, independent predictors of ICU mortality were renal failure on admission, high
admission Simplified Acute Physiology Score (SAPS) II, high maximum serum lactate levels within the first 24 h after ICU
admission, and development of sepsis. Independent predictors of unfavorable neurological outcome were mechanical
ventilation on admission, high admission SAPS II score, and neurological dysfunction on admission. ource: https://doi.org/10.7892/boris.93475 Conclusions: In this multicenter cohort, extracerebral organ dysfunction was common in CA patients. Renal failure on
admission was the only extracerebral organ dysfunction independently associated with higher ICU mortality. * Correspondence: jlvincent@intensive.org
1Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles,
Brussels, Belgium
Full list of author information is available at the end of the article Nobile et al. Critical Care (2016) 20:368 Page 2 of 10 Page 2 of 10 Page 2 of 10 Definitions Information on whether extracerebral organ dysfunc-
tion influences the outcome of patients after CA could
open new lines of research, in particular related to clin-
ical management and development of strategies to pre-
vent such complications. The objectives of this study
were, therefore, to assess the incidence of extracerebral
organ failure in patients resuscitated from CA and its
impact on prognosis, both in terms of ICU mortality
and neurological outcome. For this purpose, we ana-
lyzed data from a contemporary, international data-
base of ICU patients—the Intensive Care Over Nations
(ICON) audit [12]. Most of the definitions have been provided elsewhere
[12]. Briefly, infection was defined in accordance with
the International Sepsis Forum definitions [16]. Sepsis
was defined as the presence of infection with the con-
comitant occurrence of at least one organ failure (i.e., a
SOFA subscore for the organ in question of >2) [17]. Septic shock was defined as sepsis complicated by car-
diovascular failure. For the purposes of this sub-study,
patients with “post-anoxic coma” or “cardiac arrest”
listed as the reason for ICU admission were considered
as having been admitted after CA. CA was considered to
have occurred out-of-hospital (OHCA) if patients were
admitted through the emergency department and/or by
ambulance; all other patients were considered to have
had an in-hospital CA (IHCA). Patients in whom the
lowest body temperature during the first day after ICU Inclusion criteria Each center prospectively collected data on all adult pa-
tients (>16 years of age) who were admitted to their ICU
from 8–18 May 2012; patients who remained in the ICU
for <24 h (i.e., for routine post-operative surveillance) or
who were readmitted were not included. Data were col-
lected daily during the ICU stay for a maximum of
28 days, using electronic case report forms through a se-
cured web-based platform. Patients were followed up for
outcome data until death or hospital discharge, which-
ever came first. Decisions regarding withdrawal of care
were made according to local practices; patients in
whom a decision was made to withdraw care were con-
sidered in the final analysis. g
There are limited data available on the extent and
prognostic value of extracerebral organ dysfunction after
CA. In a recent report [8], almost all (96 %) of the 203
patients resuscitated after CA had some degree of organ
dysfunction, in particular cardiovascular and respiratory
impairments; two-thirds of these patients had dysfunc-
tion of at least two extracerebral organ systems. Only al-
terations in the cardiovascular and respiratory systems,
as assessed by Sequential Organ Failure Assessment
(SOFA) subscores, were independently associated with
in-hospital mortality. Renal dysfunction has also been re-
ported as an independent prognostic factor for mortality
among CA survivors [9], although conflicting data have
been reported [10]. There are almost no data on coagu-
lation dysfunction in this setting, and only one study de-
scribed the occurrence of hypoxic hepatitis, but not liver
dysfunction, in 11 % of CA survivors, which was also as-
sociated with increased intensive care unit (ICU) mortal-
ity [11]. Participating centers g
Rates of sudden cardiac arrest (CA) vary around the
globe, but it is estimated that the incidence is around 55
events per 100,000 person-years [1]. Overall outcomes
remain poor, with less than 10 % of patients leaving the
hospital alive with good neurological recovery [1]. Brain
damage, exacerbated by global ischemia-reperfusion in-
jury, is the leading cause of death [2–4]. Therapeutic
hypothermia (TH) has been employed following return
of spontaneous circulation (ROSC) to limit the extent of
brain damage, although concerns remain regarding opti-
mal temperature levels, target populations, and duration
of cooling [5, 6]. The so-called “post-cardiac arrest syn-
drome” links ischemia-reperfusion injury with brain dam-
age, myocardial dysfunction, and a systemic inflammatory
response that has remarkable similarities to that of sepsis
and may result in the development of multi-organ failure
(MOF), regardless of whether or not TH is used [7]. Participating centers were recruited by open invitation,
through national scientific societies, international meet-
ings, and/or individual contacts. Participation was volun-
tary with no financial reimbursement. The participating
institutions obtained local ethical approval. Methods Full details of methodology have been provided previ-
ously [12] and a list of participating ICUs is given in
Additional file 1 (Appendix 1). Nobile et al. Critical Care (2016) 20:368 Page 3 of 10 Page 3 of 10 admission was <34 °C were considered to have received
TH. At the time of the ICON audit, the targeted
temperature management (TTM) study [6], which sug-
gested similar effects on outcome for a cooling strategy
using 33 °C or 36 °C, had not yet been published and rou-
tine practice was to target a temperature of 32–34 °C [18]. Patients were considered as “comatose” (central nervous
system (CNS)-SOFA >2) or “non-comatose” (CNS-SOFA
0–2) on admission. ICU mortality rates and overall neuro-
logical outcomes were collected: patients who were alive
at hospital discharge and in whom the last recorded CNS-
SOFA subscore was between 0 and 2 (corresponding to a
Glasgow Coma Scale (GCS) score of 10–15) were defined
as having a favorable neurological outcome; other patients
(non-survivors and survivors with CNS-SOFA of 3–4, i.e.,
GCS <10) were defined as having an unfavorable neuro-
logical outcome. considered as having had a CA. The mean patient age
was 66 (52–77) years, and 282 (61 %) patients were male
(Table 1). The CA occurred out-of-hospital in 250
(53 %) patients. On admission, the median SAPS II score
was 60 (46–75) and the SOFA score was 10 (7–13); 337
(72 %) patients were comatose. A total of 210 (45 %) pa-
tients died during the ICU stay and 357 (76 %) had an
unfavorable neurological outcome; decisions to limit
therapy were made in 170 (36 %) patients. admission was <34 °C were considered to have received
TH. At the time of the ICON audit, the targeted
temperature management (TTM) study [6], which sug-
gested similar effects on outcome for a cooling strategy
using 33 °C or 36 °C, had not yet been published and rou-
tine practice was to target a temperature of 32–34 °C [18]. g
Patients were considered as “comatose” (central nervous
system (CNS)-SOFA >2) or “non-comatose” (CNS-SOFA
0–2) on admission. Methods ICU mortality rates and overall neuro-
logical outcomes were collected: patients who were alive
at hospital discharge and in whom the last recorded CNS-
SOFA subscore was between 0 and 2 (corresponding to a
Glasgow Coma Scale (GCS) score of 10–15) were defined
as having a favorable neurological outcome; other patients
(non-survivors and survivors with CNS-SOFA of 3–4, i.e.,
GCS <10) were defined as having an unfavorable neuro-
logical outcome. Mean arterial pressure, pH, and PaO2/FiO2 ratio on
the first day were lower, and maximal lactate level
higher, in non-survivors than in survivors (Table 1). Non-survivors also had higher SAPS II and SOFA scores
on admission, and were more frequently treated with va-
sopressors. Similar patterns were found when patients
with favorable and unfavorable neurological outcomes
were compared (Table 1). Non-survivors had a greater incidence of renal, re-
spiratory, and cardiovascular failure than survivors on
admission (43 vs. 16 %, 56 vs. 45 %, 62 vs. 48 %, respect-
ively; all p < 0.05; Fig. 1) and at any time during the ICU
stay (71 % vs. 50 %, 71 vs. 54 %, 75 vs. 57 %, respectively;
all p < 0.05; Fig. 1). Similar patterns were found in pa-
tients with unfavorable and favorable neurological out-
comes (Additional file 1: Figure S1). Patients with
OHCA had a greater incidence of hematologic failure
than those with IHCA, both on ICU admission (7 % vs. 2 %; p = 0.04) and during the ICU stay (14 % vs. 7 %;
p = 0.009; Additional file 1: Figure S2); the occurrence
of other organ failures was similar. There was considerable
variability in the occurrence of organ failures in different
geographical areas: patients from Oceania had the highest
incidence of hepatic failure on admission, whereas respira-
tory failure was significantly more frequent in patients in
Africa and Europe, and hematologic failure occurred more
frequently in patients in Africa and Asia (Additional file 1:
Figure S3). There were no statistically significant differences
in the incidence of organ failure when patients were ana-
lyzed according to the GNI (Additional file 1: Figure S4). Statistical analysis y
Data are expressed as mean ± SD, median (interquartile
range) or count (percentage), as appropriate. For con-
tinuous variables, normality assumption checking was
performed by inspection of residual and normal plots. Differences between groups were assessed using the ana-
lysis of variance (ANOVA), Kruskal-Wallis test, Student’s
t test, Mann–Whitney test, χ2 test, or Fisher’s exact test,
as appropriate. The occurrence of organ failure was also
analyzed according to the location of the arrest (IHCA
vs. OHCA), the geographical region (Africa, Europe,
Asia, Oceania, and America), and the gross national in-
come (GNI) per person (≤US$4035 was defined as low
and lower-middle income; $4036–$12,475 as upper-
middle income, and >$12,476 as high income) [12]. The
time-courses of each SOFA subscore in survivors and
non-survivors or in patients with favorable or unfavor-
able neurological outcome were analyzed using general-
ized estimating equation models. Multivariable logistic
regression was used to identify independent predictors
of ICU death and of unfavorable neurological outcome. Variables with p < 0.2 in the univariate analysis were
considered in the multivariable analyses. Colinearity be-
tween variables was excluded prior to modeling. Interac-
tions between explanatory variables were also checked. The deviance of the logistic regression model and de-
viance and partial residuals were used to check for
model adequacy. All reported p values are two-sided
and p < 0.05 was considered to indicate statistical signifi-
cance. Data were analyzed using IBM® SPSS® Statistics soft-
ware, version 22 for Windows (IBM, Armonk, NY, USA). The time-course of several of the SOFA subscores dif-
fered in survivors and non-survivors. In particular, the
hepatic-SOFA subscore increased over time in the non-
survivors but not in the survivors (p = 0.015; Additional
file 1: Figure S5), whereas CNS- and cardiovascular-
SOFA subscores decreased over time in the survivors
but not in the non-survivors (both p < 0.001; Additional
file 1: Figures S6 and S7). The renal-SOFA subscore did
not change over time in the survivors, but was higher in
the non-survivors and decreased progressively over time
(p < 0.001, Fig. 2). The time-course of respiratory- and
hematologic-SOFA subscores was similar in survivors
and non-survivors (Additional file 1: Figures S8 and S9). Renal-SOFA subscores decreased over time in patients
with a favorable but not in those with an unfavorable Results Among the 10,069 patients included in the ICON regis-
try, 469 had post-anoxic coma (n = 62) or CA (n = 407)
as the reported reason for ICU admission and were thus Nobile et al. Results Critical Care (2016) 20:368 Page 4 of 10 Table 1 Characteristics of the study population, according to ICU survival and neurological outcome at hospital discharge
All patients
(n = 469)
Survivors
(n = 247)
Non-survivors
(n = 210)
Favorable neurological
outcome (n = 97)
Unfavorable neuro
outcome (n = 357)
Age, years
66 (52–77)
65 (52–75)
68 (52–78)
67 (53–75)
66 (52–77)
Male, n (%)
282 (61)
149 (61)
126 (61)
60 (62)
222 (60)
Weight, kg
75 (65–87)
75 (66–90)
71 (61–83)
75 (65–90)
74 (65–85)
OHCA, n (%)
250 (53)
120 (49)
124 (59)
34 (35)
216 (58)
IHCA, n (%)
219 (47)
127 (51)
86 (41)
63 (65)
156 (42)
No co-morbidities, n (%)
209 (44)
101 (41)
108 (51)
49 (51)
163 (44)
COPD/asthma, n (%)
65 (14)
39 (16)
26 (12)
17 (17)
51 (14)
Heart failure, n (%)
72 (15)
30 (12)
42 (20)
10 (10)
62 (17)
Diabetes, n (%)
45 (10)
20 (8)
25 (12)
12 (12)
33 (9)
Cancer, n (%)
38 (8)
18 (7)
20 (10)
10 (10)
28 (8)
Chemotherapy, n (%)
9 (2)
4 (2)
5 (2)
1 (1)
8 (2)
Liver cirrhosis, n (%)
14 (3)
1 (1)
13 (6)
1 (1)
13 (3)
Chronic renal failure, n (%)
50 (11)
21 (9)
29 (14)
10 (10)
40 (11)
HIV, n (%)
1 (0)
–
1 (1)
–
1 (1)
Corticosteroids, n (%)
14 (3)
6 (2)
8 (4)
1 (1)
13 (3)
Medical admission, n (%)
373 (83)
189 (91)
184 (89)
70 (74)
303 (84)
SAPS II score on admission
60 (46–75)
53 (39–64)
71 (57–81)*
38 (29–49)
65(54–79)*
SOFA score on admission
10 (7–13)
8 (6–11)
12 (9–14)*
6 (3–8)
11(8–13)*
Infections
Infection on admission, n (%)
112 (24)
60 (24)
52 (25)
20 (21)
92 (25)
Infection any time, n (%)
200 (43)
120 (49)
80 (38)
41 (41)
159 (43)
Septic shock on admission, n (%)
75 (16)
40 (16)
35 (17)
11 (11)
64 (17)
Septic shock any time, n (%)
133 (28)
74 (30)
59 (28)
20 (21)
113 (30)
Vasopressors on admission, n (%)
262 (57)
124 (50)
138 (66)*
42 (43)
220 (62)*
Mechanical ventilation on admission, n (%)
408 (87)
205 (83)
203 (97)
67 (69)
341 (92)*
Mechanical ventilation any time, n (%)
425 (91)
211 (85)
204 (97)
71 (73)
354 (95)*
Hemodialysis/CRRT on admission, n (%)
38 (8)
19 (8)
19 (9)
4 (4)
34 (9)
Hemodialysis/CRRT any time, n (%)
103 (23)
59 (24)
44 (21)
17 (17)
86 (23)
MAP maximum on first day, mmHg
99 (87–112)
100 (89–113)
97 (85–111)
100 (88–113)
98 (87–112)
MAP minimum on first day, mmHg
61 (50–70)
63 (55–71)
56 (45–68)
63 (55–79)
60 (49–70)*
pH maximum on first day, mmHg
7.40 (7.30–7.45)
7.41 (7.35–7.46)
7.37 (7.23–7.44)*
7.42 (7.36–7.47)
7.39 (7.28–7.45)*
pH minimum on first day, mmHg
7.25 (7.11–7.35)
7.29 (7.19–7.36)
7.18 (7.05–7.29)*
7.32 (7.23–7.38)
7.23 (7.10–7.33)*
PaCO2 maximum on first day, mmHg
45 (37–57)
44 (36–55)
46 (37–60)
45 (37–53)
45 (36–60)
PaCO2 minimum on first day, mmHg
34 (28–40)
34 (28–40)
33 (27–39)
35 (29–40)
33 (28–40)
PaO2 maximum on first day, mmHg
144 (98–229)
135 (94–197)
149 (101–265)
141 (95–190)
145 (99–234)
PaO2 minimum on first day, mmHg
77 (61–98)
77 (64–94)
75 (57–105)
78 (66–90)
76 (60–100)
PaO2/FiO2 maximum on first day
232 (144–344)
232 (151–337)
233 (132–361)
270 (161–374)
227 (143–343)*
PaO2/FiO2 minimum on first day
195 (132–288)
200 (149–294)
186 (120–285)*
218 (165–300)
192 (124–285)*
Lactate maximum on first day, mmol/L
3.6 (2.0–7.6)
2.6 (1.5–5.5)
5.8 (2.5–10.5)*
2.1 (1.2–5.5)
4.30 (2.3–8)*
ICU stay, days
4 (2–8)
5 (3–10)
3 (1–6)*
4 (2–6)
4 (1–8)
Hospital stay days
8 (2–20)
17 (8–31)
3 (1–6)*
15 (8–22)
5 (2–16)* vival and neurological outcome at hospital discharge Page 5 of 10 Nobile et al. Results Critical Care (2016) 20:368 Table 1 Characteristics of the study population, according to ICU survival and neurological outcome at hospital discharge
(Continued)
Limitation of care, n (%)
170 (36)
40 (16)
126 (61)*
11 (11)
159 (44)*
ICU mortality, n (%)
210 (45)
–
210 (100)*
–
210 (59)
Hospital mortality, n (%)
247 (54)
37 (15)
210 (100)*
11 (11)
236 (67)*
Values are given as median (interquartile range) unless otherwise stated
Missing values: 12 for mortality; 5 for sex; 36 for weight; 23 for source of admission; 15 for vasopressors on admission; 15 for ICU stay, 16 for hospital stay
*p < 0.05, survivors versus non-survivors; favorable outcome versus unfavorable outcome
COPD chronic obstructive pulmonary disease, CRRT continuous renal replacement therapy, FiO2 fraction of inspired oxygen, HIV human immunodeficiency virus,
ICU intensive care unit, IHCA in-hospital cardiac arrest, MAP mean arterial pressure, OHCA out-of-hospital cardiac arrest, PaO2 partial pressure of oxygen, PaCO2
partial pressure of carbon dioxide, SAPS Simplified Acute Physiology Score, SOFA Sequential Organ Failure Assessment Table 1 Characteristics of the study population, according to ICU survival and neurological outcome at hospital discharge
(Continued) Table 1 Characteristics of the study population, according to ICU survival and neurological outcome at hospital discharge
(Continued)
Limitation of care n (%)
170 (36)
40 (16)
126 (61)*
11 (11)
159 (44)* cs of the study population, according to ICU survival and neurological outcome at hospital discharge *p < 0.05, survivors versus non-survivors; favorable outcome versus unfavorable outcome
COPD chronic obstructive pulmonary disease, CRRT continuous renal replacement therapy, FiO2 fraction of inspired oxygen, HIV human immunodeficiency virus,
ICU intensive care unit, IHCA in-hospital cardiac arrest, MAP mean arterial pressure, OHCA out-of-hospital cardiac arrest, PaO2 partial pressure of oxygen, PaCO2
partial pressure of carbon dioxide, SAPS Simplified Acute Physiology Score, SOFA Sequential Organ Failure Assessment Fig. 1 Occurrence of extracerebral organ failure on intensive care unit (ICU) admission (upper panel) and during the ICU stay (lower panel) in
survivors and non-survivors. *p < 0.05 Nobile et al. Critical Care (2016) 20:368 Page 6 of 10 Fig. 2 Time-course of renal-SOFA subscore in survivors and non-survivors (upper panel) and in patients with favorable (FO) and unfavorable neurological
outcome (UO) (lower panel). SOFA Sequential Organ Failure Assessment Fig. 2 Time-course of renal-SOFA subscore in survivors and non-survivors (upper panel) and in patients with favorable (FO) and unfavorable neurological
outcome (UO) (lower panel). Results It is difficult to
compare these findings as different confounders, including
measured outcomes (e.g., hospital survival vs. neurological
outcome), the use of TH, and the proportion of patients
with OHCA, may have influenced the results. Moreover,
evaluation of the impact of RRT on the prognosis of CA
patients may also be influenced by local practice regarding
renal support; for example, the use of RRT for correction
of electrolyte disturbances and/or fluid overload in pa-
tients without overt AKI may be associated with better re-
covery and outcome than RRT initiated for severe renal
failure. In addition, as a number of patients with extensive
brain injury undergo limitation of life-sustaining therapies,
regardless of the development of AKI, it is not always pos-
sible to assess the impact of AKI per se on outcome. In
our study, renal failure was a more significant determinant
of outcome than cardiovascular or respiratory dysfunction. Our data differ from those of Roberts et al. [8] who re-
ported that extracerebral organ dysfunction was common
after CA but found that only cardiovascular dysfunction
and altered gas exchange were associated with outcome. However, that study [8] was conducted in a single US aca-
demic hospital over several years, whereas in our multi-
center international audit, data were collected over a short
time period. Moreover, Roberts et al. [8] did not record
blood lactate levels and we observed that increased lactate
concentrations after CA were significantly associated with
ICU mortality. As high lactate concentrations are primar-
ily a consequence of prolonged CA and/or severe subse-
quent hemodynamic impairment [22–24], lactate can be
considered as an extracerebral variable that is predictive
of poor outcome in these patients. Abnormalities in tissue
perfusion occurring after CA may also potentially contrib-
ute to brain hypoperfusion and development of MOF [7]. Thus, monitoring of lactate in this setting may be of more
value to assess the severity of tissue hypoxia than just
blood pressure or cardiac output. Other studies have also
shown the prognostic value of admission blood lactate
levels after CA and of changes in lactate levels in the
hours after CA [22–25]. In this large database, patients admitted after CA rep- Fig. 3 Occurrence of circulatory, respiratory, and renal failure in
patients according to their outcome (alive or dead, with neurological
recovery (CNS+) or persistent neurological impairment (CNS–)) were independent predictors of unfavorable neurological
outcome (Table 2). Results SOFA Sequential Organ Failure Assessment Fig. 2 Time-course of renal-SOFA subscore in survivors and non-survivors (upper panel) and in patients with favorable (FO) and unfavorable neurological
outcome (UO) (lower panel). SOFA Sequential Organ Failure Assessment outcome (p = 0.02; Fig. 2). Similar results were found for
the CNS-SOFA subscore (Additional file 1: Figure S10). The analysis of other SOFA subscores showed a similar
temporal trend between patients with favorable and un-
favorable neurological outcome (Additional file 1: Figures
S11–S14). improved neurological function during the ICU stay. These non-survivors with good neurological function
more frequently had renal failure than did survivors
(p < 0.001
versus
survivors
with
good
neurological
function and versus survivors with poor neurological
function); they also more frequently had cardiovascular
failure (p = 0.026) and respiratory failure (p = 0.094) than
the ICU survivors with good neurological function (Fig. 3). Among the ICU survivors, 150 (57 %) patients had an
unfavorable neurological outcome. Thirty-three (16 %)
of the non-survivors had good neurological function
(CNS-SOFA score of 0–2) before death (Additional file
1: Figure S15); however, the CNS-SOFA score on admis-
sion was also 0–2 in all these patients (0 in 19 patients,
1 in 3 patients and 2 in 11 patients); no patient who was
comatose
on
admission
and
eventually
died
had In the multivariable analysis, renal failure on admis-
sion, high SAPS II score, high serum lactate levels within
the first 24 h after ICU admission, and the development
of sepsis were independent predictors of ICU mortality
(Table 2). Mechanical ventilation on admission, high
SAPS II score, and high CNS-SOFA score on admission Page 7 of 10 Nobile et al. Critical Care (2016) 20:368 Fig. 3 Occurrence of circulatory, respiratory, and renal failure in
patients according to their outcome (alive or dead, with neurological
recovery (CNS+) or persistent neurological impairment (CNS–)) existing renal dysfunction, older age, longer duration of
resuscitation, and the presence of shock [9, 10, 19–21]. Severe acute kidney injury (AKI) was associated with sig-
nificantly higher mortality at 30 days after CA in one
study [9], but AKI was not an independent predictor of
mortality or poor neurological outcome in two others
[10, 20]. Interestingly, despite the association of renal
failure on admission with increased mortality, the rate
of renal replacement therapy (RRT) was not different
between any of the groups in our study. Results None of the extracerebral organ fail-
ures occurring during the ICU stay were independently
associated with ICU mortality or neurological outcome. Discussion This international observational study showed that pa-
tients with a poor outcome after CA had a higher inci-
dence of renal, cardiovascular, and respiratory failure on
admission or during the ICU stay than did patients with
good outcomes. Renal failure on admission was an inde-
pendent predictor of ICU death, as was the severity of
disease, high serum lactate levels, and the development
of sepsis. However, extracerebral organ failure occurring
later during the ICU stay did not significantly influence
ICU mortality or neurological outcome. Renal dysfunction has been reported in nearly 50 % of
patients after CA, in particular in patients with pre- Table 2 Multivariable analysis to identify the independent Table 2 Multivariable analysis to identify the independent
predictors of ICU mortality and unfavorable outcome
Variable
p value
OR
95 % CI Table 2 Multivariable analysis to identify the independent
predictors of ICU mortality and unfavorable outcome
Variable
p value
OR
95 % CI
Predictors of ICU mortality
SAPS II score on admission
<0.001
1.047
1.025–1.069
Lactate max, mEq/L
0.004
1.093
1.029–1.161
Renal failure on admission
0.011
2.413
1.220–4.774
Severe sepsis during ICU stay
0.022
0.537
0.316–0.912
Predictors of unfavorable outcome
SAPS II on admission
<0.001
1.107
1.077–1.138
MV on admission
0.020
3.787
1.234–11.628
CNS-SOFA on admission
<0.001
4.237
3.097–5.796
CI confidence interval, CNS central nervous system, ICU intensive care unit,
Lactate max maximal lactate levels within the first 24 h after ICU admission,
MV mechanical ventilation, OR odds ratio, SAPS Simplified Acute Physiological
Score, SOFA Sequential Organ Failure Assessment In this large database, patients admitted after CA rep-
resented around 5 % of the ICU population, similar to
values reported in other studies [26]. The SAPS II score
was higher in patients with poor neurological outcome
or those who died during their ICU stay than in the Nobile et al. Critical Care (2016) 20:368 Page 8 of 10 Page 8 of 10 post-CA disease, thus some key variables (e.g., initial
rhythm, time to ROSC, or quality of CPR) were not cap-
tured, which limited the degree of adjustment for outcome
analyses. Second, our cohort included patients with “post-
anoxic coma” and “cardiac arrest” as the reason for ICU
admission; it is possible that patients with cerebral injury
without a CA (e.g., after hanging) may have been included
in the "post-anoxic coma" category. Discussion Moreover, the delay
between the occurrence of CA and the presence of neuro-
logical impairment was not available. Third, we focused
on ICU and hospital mortality, but not on longer-term
outcomes. In addition, the use of CNS-SOFA to assess
neurological outcome in CA patients has several limita-
tions and is not as accurate as other scores, e.g., the Ran-
kin scale or the Cerebral Performance Scale (CPC), to
quantify the extent of post-anoxic brain injury. Also, we
could not evaluate cognitive dysfunction, which may re-
flect subtle post-anoxic injury. Fourth, given the substan-
tial differences in post-resuscitation care in the countries
included in the ICON database, patient management, in-
cluding healthcare systems, resources and medical sys-
tems, was probably extremely variable among centers. Data about specific treatments (e.g., coronary angiog-
raphy) were not available. Decisions regarding withdrawal
of care certainly varied among regions. Nevertheless, this
study is hypothesis-generating and may help to provide a
focus on particular organ dysfunctions that should be ad-
equately described in future prospective studies dealing
with management and prognostication in such patients. Fifth, data on the duration of hypothermia and potential
complications associated with TH were not available. Data
on the development of fever were also not available. Sixth,
data on “ventilator settings” during mechanical ventilation
were not included in the analysis and we cannot comment
on the roles of tidal volume, spontaneous breathing, and/
or exposure to high-inspired oxygen fraction on the mea-
sured outcomes. Finally, the precise causes of death were
not recorded other patients, although others have reported that the
SAPS and APACHE scores are not good prognostic tools
in patients with CA [27, 28]. Conversely, the highest
extracerebral SOFA score at 72 h after CA was inde-
pendently associated with in-hospital mortality [8]. Ad-
mission factors that have been correlated with an
increased SOFA score after CA include non-shockable
rhythm, the amount of epinephrine used, use of TH, and
elevated stress hormone levels [29]. In particular, the
cardiovascular component of the SOFA score has been
shown to accurately predict outcomes of patients with
CA when combined with neurological examination [30];
our results suggest that the renal component should per-
haps also be considered in prediction models. Mechanical ventilation was one of the independent pre-
dictors of poor neurological outcome. Sutherasan et al. Conclusions In this multicenter cohort of CA patients, 210 (45 %) pa-
tients died in the ICU and 357 (76 %) had an unfavorable
neurological outcome. Extracerebral organ dysfunction
was common, but renal failure on admission was the only
extracerebral organ dysfunction independently associated
with higher ICU mortality. Discussion showed that high tidal volume and plateau pressure with
lower positive end-expiratory pressure were associated with
the occurrence of severe pulmonary complications during
the ICU stay in CA patients [31], suggesting a potential role
of ventilator settings on outcome. Moreover, patients re-
ceiving mechanical ventilation are more exposed to high
oxygen levels or abnormal carbon dioxide concentrations,
which have been shown to have a significant negative im-
pact on brain recovery after post-anoxic injury [32, 33]. Not surprisingly, the severity of brain dysfunction on
admission also predicted an unfavorable outcome. In a
large cohort of CA patients in Japan, the initial GCS
motor score was significantly associated with neuro-
logical outcome, as were age, bystander cardiopulmonary
resuscitation (CPR), the time from collapse to ROSC,
and pupil size [2]. Initial coma was also one of the most
important determinants of outcome in another large
database of CA patients [30]. Another interesting finding was that 16 % of the patients
who eventually died had relatively preserved cerebral func-
tion during their ICU stay. In recent years, several studies
have focused on identifying markers of poor neurological
outcome as if mortality after resuscitated CA were exclu-
sively associated with lack of neurological recovery [3, 4,
34]. Neurological recovery was often assessed 3 to 6 months
after CA and all non-survivors were considered to have a
poor neurological outcome. However, a significant propor-
tion of CA patients die from protracted shock and MOF
[4], which often occurs early after CA, before any possible
neurological outcome assessment. In our study, patients
with good neurological function after CA died from other
reasons, in particular other organ failures. This finding
highlights the importance of repeated neurological assess-
ment of CA patients during the ICU stay because a single
long-term assessment may underestimate the potential for
neurological recovery in some patients. Author details
1 Additional file 1: Appendix 1. Alphabetical list of participating centers
by region and country. Figure S1. Occurrence of extra-cerebral organ
failure on ICU admission (upper panel) and during the ICU stay (lower
panel) in patients with favorable (FO) and unfavorable (UO) neurological
outcomes. *p < 0.05. Figure S2. Occurrence of extracerebral organ failure
on ICU admission (upper panel) and during the ICU stay (lower panel) in
patients with in-hospital (IHCA) and out-of-hospital (OHCA) cardiac arrest. *p < 0.05. Figure S3. Occurrence of extracerebral organ failure on ICU
admission (upper panel) and during the ICU stay (lower panel) in patients
according to geographical area. Figure S4. Occurrence of extracerebral
organ failure on ICU admission (upper panel) and during the ICU stay
(lower panel) in patients according to gross national income. Figure S5. Time course of hepatic-SOFA subscore in survivors and non-survivors. Figure S6. Time course of neurologic (CNS)-SOFA subscore in survivors
and non-survivors. Figure S7. Time course of cardiovascular-SOFA
subscore in survivors and non-survivors. Figure S8. Time-course of
respiratory-SOFA subscore in survivors and non-survivors. Figure S9. Time-course of hematologic-SOFA subscore in survivors and non-
survivors. Figure S10. Time-course of neurologic (CNS)-SOFA subscore in
patients with favorable (FO) and unfavorable (UO) neurological outcome. Figure S11. Time-course of cardiovascular-SOFA subscore in patients
with favorable (FO) and unfavorable (UO) neurological outcome. Figure
S12. Time course of hematological-SOFA subscore in patients with
favorable (FO) and unfavorable (UO) neurological outcome. Figure S13. Time-course of respiratory-SOFA subscore in patients with favorable (FO)
and unfavorable (UO) neurological outcome. Figure S14. Time-course of
hepatic-SOFA subscore in patients with favorable (FO) and unfavorable
(UO) neurological outcome. Figure S15. Differences in the last available Additional file 1: Appendix 1. Alphabetical list of participating centers
by region and country. Figure S1. Occurrence of extra-cerebral organ
failure on ICU admission (upper panel) and during the ICU stay (lower
panel) in patients with favorable (FO) and unfavorable (UO) neurological
outcomes. *p < 0.05. Figure S2. Occurrence of extracerebral organ failure
on ICU admission (upper panel) and during the ICU stay (lower panel) in
patients with in-hospital (IHCA) and out-of-hospital (OHCA) cardiac arrest. 1Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles,
Brussels, Belgium. 2Department of Critical Care, Royal Gwent Hospital,
Newport, Wales, UK. 3Department of Anesthesiology and Intensive Care,
Uniklinikum Jena, Jena, Germany. 4Department of Intensive Care Medicine,
University Hospital Bern, University of Bern, Bern, Switzerland. Ethics approval and consent to participate
h
b
d Each participating institution obtained approval from its local ethics
committee for the original ICON audit. Each participating institution obtained approval from its local ethics
committee for the original ICON audit. Key messages Analysis of this large database revealed that renal,
cardiovascular, and respiratory failure occurring on
admission or during the ICU stay was more common
in patients with an unfavorable outcome than in
those with a favorable outcome. This study has several limitations. First, the ICON
database was not designed specifically to record data on Nobile et al. Critical Care (2016) 20:368 Page 9 of 10 Renal failure on admission was the only extracerebral
organ dysfunction associated with ICU mortality. Renal failure on admission was the only extracerebral
organ dysfunction associated with ICU mortality. helped in the design of the study, and revised the current article for critical
content. All authors read and approved the final manuscript. helped in the design of the study, and revised the current article for critical
content. All authors read and approved the final manuscript. Extracerebral organ failure occurring later during
the ICU stay did not significantly influence ICU
mortality or neurological outcome. Author details
1 5Anesthesia
and Intensive Care, Santa Maria degli Angeli Hospital, Pordenone, Italy. 6Department of Intensive Care and Anesthesiology, Università Cattolica del
Sacro Cuore, Rome, Italy. 7Department of Anesthesia and Intensive Care,
Hôpital Nord, AP-HM Aix Marseille Université, Marseille, France. 8Critical Care
Department, Cliniques Universitaires St Luc, UCL, Brussels, Belgium. 9Department of Intensive Care, Nijmegen Institute for Infection, Inflammation
and Immunity, Radboud University Nijmegen Medical Center, Nijmegen, The
Netherlands. 10Department of Anaesthetics, Intensive Care and Pain
Medicine, Division of Population Medicine, Cardiff University, Cardiff, UK. *p < 0.05. Figure S3. Occurrence of extracerebral organ failure on ICU
admission (upper panel) and during the ICU stay (lower panel) in patients
according to geographical area. Figure S4. Occurrence of extracerebral
organ failure on ICU admission (upper panel) and during the ICU stay
(lower panel) in patients according to gross national income. Figure S5. Time course of hepatic-SOFA subscore in survivors and non-survivors. Medicine, Division of Population Medicine, Cardiff University, Cardiff, UK. Medicine, Division of Population Medicine, Cardiff University, Cardiff, UK. Received: 20 May 2016 Accepted: 14 October 2016 References 1. Berdowski J, Berg RA, Tijssen JG, Koster RW. Global incidences of out-of-
hospital cardiac arrest and survival rates: systematic review of 67
prospective studies. Resuscitation. 2010;81:1479–87. 1. Berdowski J, Berg RA, Tijssen JG, Koster RW. Global incidences of out-of-
hospital cardiac arrest and survival rates: systematic review of 67
prospective studies. Resuscitation. 2010;81:1479–87. prospective studies. Resuscitation. 2010;81:1479–87. 2. Hifumi T, Kuroda Y, Kawakita K, Sawano H, Tahara Y, Hase M, et al. Effect of
admission Glasgow Coma Scale motor score on neurological outcome in
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et al. Intensive care unit mortality after cardiac arrest: the relative
contribution of shock and brain injury in a large cohort. Intensive Care Med. 2013;39:1972–80. Acknowledgments We would like to thank Hassane Njimi PhD for his help with the statistical
analyses. Availability of data and materials 8. Roberts BW, Kilgannon JH, Chansky ME, Mittal N, Wooden J, Parrillo JE, et al. Multiple organ dysfunction after return of spontaneous circulation in
postcardiac arrest syndrome. Crit Care Med. 2013;41:1492–501. The data that support the findings of this study are available from the
corresponding author upon reasonable request. 9. Geri G, Guillemet L, Dumas F, Charpentier J, Antona M, Lemiale V, et al. Acute kidney injury after out-of-hospital cardiac arrest: risk factors and
prognosis in a large cohort. Intensive Care Med. 2015;41:1273–80. Abbreviations A Scientific Statement from the International Liaison
Committee on Resuscitation; the American Heart Association Emergency
Cardiovascular Care Committee; the Council on Cardiovascular Surgery and
Anesthesia; the Council on Cardiopulmonary, Perioperative, and Critical
Care; the Council on Clinical Cardiology; the Council on Stroke. Resuscitation. 2008;79:350–79. 7. Nolan JP, Neumar RW, Adrie C, Aibiki M, Berg RA, Bottiger BW, et al. Post-
cardiac arrest syndrome: epidemiology, pathophysiology, treatment, and
prognostication. A Scientific Statement from the International Liaison
Committee on Resuscitation; the American Heart Association Emergency
Cardiovascular Care Committee; the Council on Cardiovascular Surgery and
Anesthesia; the Council on Cardiopulmonary, Perioperative, and Critical
Care; the Council on Clinical Cardiology; the Council on Stroke. Resuscitation. 2008;79:350–79. Funding
There wa g
There was no external funding for this study. Competing interests
JLV
Ed
Ch f
f JLV is Editor-in-Chief of Critical Care. The authors declare that they have no
competing interests. JLV is Editor-in-Chief of Critical Care. The authors declare that they have no
competing interests. Ethics approval and consent to participate
Each participating institution obtained approval from its local ethics
committee for the original ICON audit. Abbreviations AKI: Acute kidney injury; APACHE: Acute Physiology and Chronic Health
Evaluation; CA: Cardiac arrest; CNS: Central nervous system;
CPR: Cardiopulmonary resuscitation; GCS: Glasgow Coma Scale; GNI: Gross
national income; ICON: Intensive Care Over Nations; ICU: Intensive care unit;
IHCA: In-hospital cardiac arrest; MOF: Multi-organ failure; OHCA: Out-of-
hospital cardiac arrest; ROSC: Return of spontaneous circulation; RRT: Renal
replacement therapy; SAPS: Simplified Acute Physiology Score;
SOFA: Sequential Organ Failure Assessment; TH: Therapeutic hypothermia 5. Bro-Jeppesen J, Kjaergaard J, Wanscher M, Nielsen N, Friberg H, Bjerre M,
et al. The inflammatory response after out-of-hospital cardiac arrest is not
modified by targeted temperature management at 33 degrees C or 36
degrees C. Resuscitation. 2014;85:1480–7. 6. Nielsen N, Wetterslev J, Cronberg T, Erlinge D, Gasche Y, Hassager C, et al. Targeted temperature management at 33 degrees C versus 36 degrees C
after cardiac arrest. N Engl J Med. 2013;369:2197–206. after cardiac arrest. N Engl J Med. 2013;369:2197 206. 7. Nolan JP, Neumar RW, Adrie C, Aibiki M, Berg RA, Bottiger BW, et al. Post-
cardiac arrest syndrome: epidemiology, pathophysiology, treatment, and
prognostication. A Scientific Statement from the International Liaison
Committee on Resuscitation; the American Heart Association Emergency
Cardiovascular Care Committee; the Council on Cardiovascular Surgery and
Anesthesia; the Council on Cardiopulmonary, Perioperative, and Critical
Care; the Council on Clinical Cardiology; the Council on Stroke. Resuscitation. 2008;79:350–79. 8. Roberts BW, Kilgannon JH, Chansky ME, Mittal N, Wooden J, Parrillo JE, et al. Multiple organ dysfunction after return of spontaneous circulation in
postcardiac arrest syndrome. Crit Care Med. 2013;41:1492–501. 9. Geri G, Guillemet L, Dumas F, Charpentier J, Antona M, Lemiale V, et al. Acute kidney injury after out-of-hospital cardiac arrest: risk factors and
prognosis in a large cohort. Intensive Care Med. 2015;41:1273–80. 10. Tujjar O, Mineo G, Dell'Anna A, Poyatos-Robles B, Donadello K, Scolletta S,
et al. Acute kidney injury after cardiac arrest. Crit Care. 2015;19:169. 11. Champigneulle B, Geri G, Bougouin W, Dumas F, Arnaout M, Zafrani L, Pène F,
Charpentier J, Mira JP, Cariou A. Hypoxic hepatitis after out-of-hospital cardiac
arrest: Incidence, determinants and prognosis. Resuscitation. 2016;103:60–5. 7. Nolan JP, Neumar RW, Adrie C, Aibiki M, Berg RA, Bottiger BW, et al. Post-
cardiac arrest syndrome: epidemiology, pathophysiology, treatment, and
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Effects of PaCO2 derangements on clinical outcomes after cerebral injury: a
systematic review. Resuscitation. 2015;91:32–41. Authors’ contributions
d
d h
d FST designed the study, analyzed the data, and drafted the article; LN helped
in the design of the study, extracted and analyzed the data, and helped
revise the article; TS extracted and analyzed the data, and helped revise the
article; YS, SMJ, TP, MA, ML, XW, and PP participated in acquiring data for the
original ICON study, and revised this article for critical content; JLV
participated in acquiring data for and coordinated the original ICON audit, 10. Tujjar O, Mineo G, Dell'Anna A, Poyatos-Robles B, Donadello K, Scolletta S,
et al. Acute kidney injury after cardiac arrest. Crit Care. 2015;19:169. 10. Tujjar O, Mineo G, Dell'Anna A, Poyatos-Robles B, Donadello K, Scolletta S,
et al. Acute kidney injury after cardiac arrest. Crit Care. 2015;19:169. 11. Champigneulle B, Geri G, Bougouin W, Dumas F, Arnaout M, Zafrani L, Pène F,
Charpentier J, Mira JP, Cariou A. Hypoxic hepatitis after out-of-hospital cardiac
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systematic review. Resuscitation. 2015;91:32–41.
34.
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and we will help you at every step: Submit your next manuscript to BioMed Central
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intensive care unit after out-of-hospital cardiac arrest. Crit Care. 2015;19:132. • We accept pre-submission inquiries
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early, novel illness severity score to predict outcome after cardiac arrest. Resuscitation. 2011;82:1399–404. 31. Sutherasan Y, Penuelas O, Muriel A, Vargas M, Frutos-Vivar F, Brunetti I, et al. Management and outcome of mechanically ventilated patients after cardiac
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https://openalex.org/W2152519579
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https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/60624/1/c5sc03377b.pdf
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English
| null |
Hydrolysis of woody biomass by a biomass-derived reusable heterogeneous catalyst
|
Chemical science
| 2,016
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cc-by
| 4,948
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Instructions for use
Title
Hydrolysis of woody biomass by a biomass-derived reusable heterogeneous catalyst
Author(s)
Kobayashi, Hirokazu; Kaiki, Hiroyuki; Shrotri, Abhijit; Techikawara, Kota; Fukuoka, Atsushi
Citation
Chemical science, 7(1), 692-696
https://doi.org/10.1039/c5sc03377b
Issue Date
2016-01-01
Doc URL
http://hdl.handle.net/2115/60624
Rights(URL)
https://creativecommons.org/licenses/by/3.0/
Type
article
File Information
c5sc03377b.pdf Instructions for use
Title
Hydrolysis of woody biomass by a biomass-derived reusable heterogeneous catalyst
Author(s)
Kobayashi, Hirokazu; Kaiki, Hiroyuki; Shrotri, Abhijit; Techikawara, Kota; Fukuoka, Atsushi
Citation
Chemical science, 7(1), 692-696
https://doi.org/10.1039/c5sc03377b
Issue Date
2016-01-01
Doc URL
http://hdl.handle.net/2115/60624
Rights(URL)
https://creativecommons.org/licenses/by/3.0/
Type
article
File Information
c5sc03377b.pdf aInstitute for Catalysis, Hokkaido University, Kita 21 Nishi 10, Kita-ku, Sapporo,
Hokkaido 001-0021, Japan. E-mail: fukuoka@cat.hokudai.ac.jp
bGraduate School of Chemical Sciences and Engineering, Hokkaido University, Kita 13
Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan
† Electronic supplementary information (ESI) available: Experimental details, raw
data of characterisation. See DOI: 10.1039/c5sc03377b EDGE ARTICLE Cite this: Chem. Sci., 2016, 7, 692 Hirokazu Kobayashi,ab Hiroyuki Kaiki,ab Abhijit Shrotri,a Kota Techikawaraab
and Atsushi Fukuoka*ab Hirokazu Kobayashi,ab Hiroyuki Kaiki,ab Abhijit Shrotri,a Kota Techikawaraab
and Atsushi Fukuoka*ab Biomass is the sole carbon-based renewable resource for sustaining the chemical and fuel demands of our
future. Lignocellulose, the primary constituent of terrestrial plants, is the most abundant non-food biomass,
and its utilisation is a grand challenge in biorefineries. Here we report the first reusable and cost-effective
heterogeneous catalyst for the depolymerisation of lignocellulose. Air oxidation of woody biomass
(Eucalyptus) provides a carbonaceous material bearing an aromatic skeleton with carboxylic groups (2.1
mmol g1) and aliphatic moieties. This catalyst hydrolyses woody biomass (Eucalyptus) to sugars in high
yields within 1 h in trace HCl aq. Furthermore, after the reaction, the solid residue composed of the
catalyst and insoluble ingredients of woody biomass is easily transformed back to fresh catalyst by the
same air oxidation method. This is a self-contained system using woody biomass as both the catalyst
source and substrate for realising facile catalyst preparation and recycling. Received 8th September 2015
Accepted 14th October 2015
DOI: 10.1039/c5sc03377b
www.rsc.org/chemicalscience Received 8th September 2015
Accepted 14th October 2015 hemicellulose to monomeric sugars (Scheme 1) is the rst step
in a biorenery, and this reaction has been studied with both
enzymes and chemical catalysts such as soluble mineral acids
and solid acids.1,4 However, the practical use of these catalysts is
hampered by reuse difficulties, high costs of preparation and
disposal, and the need for long reaction times.1 Herein, we
report the rst reusable and cost-effective heterogeneous cata-
lyst to resolve all these issues. Instructions for use
Title
Hydrolysis of woody biomass by a biomass-derived reusable heterogeneous catalyst
Author(s)
Kobayashi, Hirokazu; Kaiki, Hiroyuki; Shrotri, Abhijit; Techikawara, Kota; Fukuoka, Atsushi
Citation
Chemical science, 7(1), 692-696
https://doi.org/10.1039/c5sc03377b
Issue Date
2016-01-01
Doc URL
http://hdl.handle.net/2115/60624
Rights(URL)
https://creativecommons.org/licenses/by/3.0/
Type
article
File Information
c5sc03377b.pdf
Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP This journal is © The Royal Society of Chemistry 2016 Open Access Article. Published on 15 October 2015. Downloaded on 02/02/2016 03:58:29.
This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. Hirokazu Kobayashi,ab Hiroyuki Kaiki,ab Abhijit Shrotri,a Kota Techikawaraab
and Atsushi Fukuoka*ab Introduction Production of biofuels and bio-chemicals from lignocellulose,
the most abundant non-food biomass, is a grand challenge
in bioreneries.1–3 Lignocellulose is a composite of cellulose,
hemicellulose and lignin, which are insoluble polymers of
glucose, related sugars such as xylose, and phenyl propane
derivatives,
respectively. The
hydrolysis
of
cellulose
and The use of heterogeneous catalysts is desired for the efficient
depolymerisation of lignocellulose as they are non-corrosive
and can be separated from product solution.5–7 It has recently
been demonstrated that weakly acidic carbons8–15 and sulpho-
nated carbons16–23 are active for the hydrolysis of cellulose as
a model substrate. Carbon materials adsorb cellulosic mole-
cules through CH–p hydrogen bonds and hydrophobic inter-
actions,24,25 and then the adsorbed molecules are hydrolysed by
acidic sites.9–13,26 The presence of defect sites on carbon may
further improve the activity,10–12 as the adsorption of cellulosic
molecules in connement13 changes their conformation to
weaken glycosidic bonds.27–29 Regardless of the preferable characteristics of heterogeneous
catalysts, the contamination of the catalyst with solid lignin
aer the reaction prevents their application in the depolymer-
isation of real lignocellulose. Removal of lignin from solid
catalysts is oen challenging, essentially rendering the catalyst
useless aer the rst reaction. Hence, the lignin fraction must
be removed by pretreatment such as the kraprocess before
applying lignocellulose to the hydrolysis reaction.9 Another
demerit of existing catalysts is the use of large amounts of
chemicals such as bases and acids in creating active sites on
the catalysts,8–23 leading to high costs and huge quantities of Scheme 1
Hydrolysis of cellulose and hemicellulose fractions in
lignocellulose. This journal is © The Royal Society of Chemistry 2016 692 | Chem. Sci., 2016, 7, 692–696 View Article Online Edge Article Chemical Science Chemical Science neutralisation waste in post-treatments (more than 50 kg of
waste per 1 kg of catalyst; see ESI†). organic compounds such as tar. The maximum temperature
inside the sample was 575 K during the process, showing no
formation of hot spots. Our idea for resolving the issues of conventional heteroge-
neous catalysts is to produce a weakly acidic carbon catalyst
through simple air oxidation of lignocellulose and lignin residue. Organic materials thermally decompose to form carbonaceous
material at an elevated temperature30 and simultaneously gain
weakly acidic oxygenated groups (active sites) in the presence of
air via oxidation. Thus, we can expect that the carbon material
prepared by air oxidation hydrolyses lignocellulose. Whole scheme of our system Fig. 1 represents our system using air oxidation for hydrolysis of
lignocellulose. The rst part (Part 1) is the production of
a carbon-based catalyst from Eucalyptus by air oxidation, which
is necessary only once. The second part (Part 2) is a cyclic
process consisting of milling pretreatment, hydrolysis of Euca-
lyptus to glucose and xylose in trace HCl, and transformation of
the solid residue to fresh catalyst by the same air oxidation. We
used Eucalyptus as both a catalyst source and biomass substrate
to make this a self-contained system. Eucalyptus is a fast-
growing and inexpensive plant [<0.1 pounds (GBP) kg1] that
has been cultured as a major feedstock for pulping.31,32 Fig. 2
13C CP/MAS NMR spectra of E-Carbon (red bold solid line),
recycled E-Carbon (orange narrow solid line), N2-treated Eucalyptus
(green dotted line) and pristine Eucalyptus (blue dashed line). Introduction In this
way, the catalyst is readily prepared, and more importantly
the used catalyst and residual lignin can be together transformed
into fresh catalyst by the same air oxidation method. The chemical structure of E-Carbon was determined with
several physicochemical techniques. Solid-state 1H–13C cross
polarisation/magic angle spinning nuclear magnetic resonance
(CP/MAS NMR) was used to clarify the structural change of
Eucalyptus by air oxidation (Fig. 2). The pristine Eucalyptus (blue
dashed line) gave major peaks at 110–50 ppm, mainly ascribed
to cellulose and hemicellulose.33 Small NMR signals at $110
ppm are derived from lignin (Caromatic–O at 160–140 ppm,
Caromatic–C and Caromatic–H at 140–110 ppm).34–36 Aer air
oxidation (red solid line), a predominant peak appeared at 125
ppm due to the formation of non-oxygenated aromatic carbons. Smaller broad peaks were observed in the regions for –CO2R
(170 ppm), Caromatic–O (150 ppm) and sp3 carbons (<100
ppm).34,35 Infrared (IR) measurement of E-Carbon in a trans-
mission mode (Fig. S2†) showed four major peaks ascribed to
n(C]O) (1770–1720 cm1), n(C]C, aromatic) (1610 cm1), d(C–
H) (1470–1370 cm1) and a mixture of various vibrations such as
n(C–O) (1350–1000 cm1),37 indicating the presence of aromatic
rings and oxygenated groups. X-ray photoelectron spectroscopy
(XPS) in the C 1s region represented a quantitative distribution
of functional groups: –CO2R at 288.6 eV (13 1%), C]O at This journal is © The Royal Society of Chemistry 2016 Preparation and characterisation of the catalyst S6†), which
are characteristic of amorphous carbon materials with poly-
cyclic aromatics.41,42 The amorphous structure was also indi-
cated by X-ray diffraction measurements (Fig. S7†). Hence, we
concluded that E-Carbon consists of an aromatic framework
with weakly acidic groups and aliphatic moieties (Fig. 3, the
composition is CH0.44O0.42). It was conrmed that the aromatics
and acidic sites were not only derived from lignin but also from
cellulose fractions; air oxidation of cellulose gave a similar
carbon material (named air-oxidised cellulose, see Fig. S2†). 287.2 eV (3 2%), C–O at 286.2 eV (20 5%), and C–C and C]C
at 284.6 eV (65 5%) (Fig. S3†).38 The content of carboxylic acid
in E-Carbon was 2.1 mmol g1, determined by a titration
experiment with NaHCO3.39 Elemental analysis of E-Carbon
showed that the amounts of C, H, N and O were 62.5 wt%,
2.2 wt%, <0.3 wt% and 35.0 wt%, respectively, where the oxygen
content was estimated by subtracting the weight of C, H and ash
from 100 wt%. The ratio corresponds to CH0.43O0.42. E-Carbon
adsorbed a large amount of water (1.8 mmol g1 at p/p0 ¼ 0.1;
Fig. S4†) at 298 K, which was ca. 160 times greater than the
adsorption amount of N2 at 77 K at the same relative pressure
(Fig. S5†). This result indicates the condensation of water in
E-Carbon due to a high concentration of oxygenated groups.40
The Raman spectrum of E-Carbon contained a broad D-band at
1390 cm1 and a G-band at 1590 cm1 (IG > ID; Fig. S6†), which
are characteristic of amorphous carbon materials with poly-
cyclic aromatics.41,42 The amorphous structure was also indi-
cated by X-ray diffraction measurements (Fig. S7†). Hence, we
concluded that E-Carbon consists of an aromatic framework
with weakly acidic groups and aliphatic moieties (Fig. 3, the
composition is CH0.44O0.42). It was conrmed that the aromatics
and acidic sites were not only derived from lignin but also from
cellulose fractions; air oxidation of cellulose gave a similar
carbon material (named air-oxidised cellulose, see Fig. S2†). are encapsulated by lignin in lignocellulose for protecting the
carbohydrates from chemical attack, but milling treatment
ruptures the composite to expose the sugar polymers.47 More
importantly, specic to the mix-milling, good contact between
the solid catalyst and solid substrate are created at the same
time.48 This treatment required only 2 h for improving the
reaction performance in the present study. Open Access Article. Published on 15 October 2015. Downloaded on 02/02/2016 03:58:29.
This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. The mix-milled solid containing E-Carbon (50 mg) and
Eucalyptus (324 mg) was subjected to a hydrolysis reaction in
a 120 ppm HCl aqueous solution (pH 2.5) at 488 K (Table 1). This reaction gave glucose in 78% yield based on the carbon
content of cellulose in Eucalyptus (Table 1, entry 4). The hemi-
cellulose fraction of Eucalyptus was also hydrolysed to xylose in
94% yield. Thus, both cellulose and hemicellulose can be uti-
lised in this system. The major by-products were oligosaccha-
rides, sugar isomers, 5-hydroxymethylfurfural, levoglucosan
and furfural (detailed results are shown in Table S3†). The total
amount of the sugars and soluble by-products was almost
consistent with the carbohydrate content in the Eucalyptus
sample (carbon balance: 96%). In the hydrolysis of Eucalyptus, we assume that E-Carbon and
the mild acidic solvent (pH 2.5) synergistically accelerate the
formation of monomeric sugars. It has been reported that trace
HCl hydrolyses cellulose to produce soluble oligosaccharides,
which enables the subsequent hydrolysis of oligosaccharides by
solid acid catalysts.49 In contrast, the roles of solid catalyst and
HCl are reversed in our system due to the mix-milling.9 Weakly
acidic carbons quickly hydrolyse solid cellulose to soluble
oligosaccharides owing to the close contact created by mix-
milling. As a result, the hydrolysis of oligosaccharides is the
rate-determining step, which needs to be accelerated by soluble
acid to maximise yields of monomeric sugars. Indeed, the
hydrolysis of cellulose by a carbon catalyst in water aer mix-
milling almost completely converted cellulose (93%) with
soluble oligomers as the main product (70% yield), whereas
hydrolysis by HCl gave a low conversion of cellulose (39%) with We also prepared a catalyst by heat-treatment of Eucalyptus
under N2 at 573 K as a control. This material had signicantly
weaker aromatic peaks in the NMR (green dotted line in Fig. 2)
and IR spectra (Fig. S2†). Accordingly, our results show that air
oxidation provides more aromatics than N2 treatment at 573 K. This is reasonable as the air oxidation of organic polymers (e.g.,
polyacrylonitrile) gives aromatic precursors at 473–573 K for the
manufacture of carbon bres.43 As for the oxygenated groups in
N2-treated Eucalyptus, only weak C]O peaks were observed in
the IR spectrum (Fig. S2†) and the area percentage of –CO2R was
only 2 1% in the XPS (Fig. S3†). Open Access Article. Published on 15 October 2015. Downloaded on 02/02/2016 03:58:29.
This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. The specic amount of
carboxylic acid groups determined by titration was 0.11 mmol
g1, corresponding to 1/20 of that of E-Carbon. Clearly, air
oxidation is essential for introducing a large amount of
carboxylic acid groups onto the carbons. Table 1
Hydrolysis of Eucalyptus by Eucalyptus-based catalystsa
Entry
Solvent
Catalyst
Product yield/%
Glucoseb
Xylosec
1
Water
No catalyst
3
30
2
Water
E-Carbon
31
83
3
HCld
No catalyst
32
26
4
HCld
E-Carbon (1st cycle)
78
94
5
HCld
E-Carbon (2nd cycle)
82
89
6
HCld
N2-treated Eucalyptus
28
26
7
HCld
Air-oxidised cellulose
77
91
a Reaction conditions: mix-milled sample 374 mg [Eucalyptus 324 mg,
catalyst 50 mg (containing 0.11 mmol of carboxylic acid groups)],
solvent 40 mL. The reaction temperature was elevated from 298 K to
488 K in 17 min, and then quickly cooled down to 298 K. b Based on
carbon content of cellulose. c Based on carbon content of xylan. d 120
ppm HCl (¼ 0.13 mmol). Preparation and characterisation of the catalyst We rst studied the initial air oxidation of Eucalyptus to produce
a catalyst. Eucalyptus powder was rst washed with boiling
water and dried (see ESI†). The resulting solid was used in all
the experiments. The major ingredients of the washed Euca-
lyptus powder were cellulose (47 wt%), xylan hemicellulose (10
wt%) and lignin (32 wt%). Ash was present in a small amount
(0.12 wt%) and mainly composed of Ca salts (Table S1†). The air
oxidation of the Eucalyptus powder was performed at 573 K for 1
h, which were the optimised conditions for preparing an active
catalyst (Table S2†). This procedure gave a black material
(named E-Carbon, Fig. S1†) in 49% yield based on the carbon
content. The remaining part was lost as CO, CO2 and volatile Fig. 2
13C CP/MAS NMR spectra of E-Carbon (red bold solid line),
recycled E-Carbon (orange narrow solid line), N2-treated Eucalyptus
(green dotted line) and pristine Eucalyptus (blue dashed line). Fig. 1
Schematic representation of the E-Carbon system. HC: xylan hemicellulose. Fig. 1
Schematic representation of the E-Carbon system. HC: xylan hemicellulose. This journal is © The Royal Society of Chemistry 2016 This journal is © The Royal Society of Chemistry 2016 Chem. Sci., 2016, 7, 692–696 | 693 Edge Article
View Article Online Chemical Science Edge Article 287.2 eV (3 2%), C–O at 286.2 eV (20 5%), and C–C and C]C
at 284.6 eV (65 5%) (Fig. S3†).38 The content of carboxylic acid
in E-Carbon was 2.1 mmol g1, determined by a titration
experiment with NaHCO3.39 Elemental analysis of E-Carbon
showed that the amounts of C, H, N and O were 62.5 wt%,
2.2 wt%, <0.3 wt% and 35.0 wt%, respectively, where the oxygen
content was estimated by subtracting the weight of C, H and ash
from 100 wt%. The ratio corresponds to CH0.43O0.42. E-Carbon
adsorbed a large amount of water (1.8 mmol g1 at p/p0 ¼ 0.1;
Fig. S4†) at 298 K, which was ca. 160 times greater than the
adsorption amount of N2 at 77 K at the same relative pressure
(Fig. S5†). This result indicates the condensation of water in
E-Carbon due to a high concentration of oxygenated groups.40
The Raman spectrum of E-Carbon contained a broad D-band at
1390 cm1 and a G-band at 1590 cm1 (IG > ID; Fig. Preparation and characterisation of the catalyst Although this opti-
misation using planetary ball-milling is for laboratory-scale
experiments, large-scale milling is applicable to maximise the
economic efficiency in industry.45,47 Conclusions The air oxidation of biomass feedstock, Eucalyptus, produces
a carbon-based catalyst overcoming the limitations of conven-
tional catalysts used for the hydrolysis of woody biomass. The
catalyst quickly converts lignin-containing Eucalyptus to glucose
and xylose in high yields. Lignin remains as a solid together
with the catalyst aer the reaction; however, this solid mixture
is a source for fresh catalyst and fuel. Therefore, the E-Carbon
system drastically reduces the preparation and post-treatment
costs of the catalyst. In general, the deactivation or spoiling of
catalyst by contaminant is oen a major issue in catalytic
reactions. Hence, our idea that converts contaminant to a cata-
lyst can be a useful strategy for improving the efficiency of
catalytic processes. The solid residue recovered aer the reaction with E-Carbon
can be converted to a fresh catalyst again by air oxidation as
shown in Fig. 1. This is the outstanding characteristic of our
catalyst, since all the previous carbon-based catalysts were
single use in the hydrolysis of raw biomass.8–23 The treatment at
573 K for 1 h converted the solid residue of 1.63 g [1.12 g derived
from Eucalyptus (mainly lignin) and 0.51 g of E-Carbon, obtained
in a large-scale experiment] to a black powder of 1.14 g. Accordingly, the catalyst weight increased from 0.51 to 1.14 g
aer one cycle in this system. The surplus residue can be used
as fuel to power the process, since the solid is derived only from
woody biomass and air. The 13C CP/MAS NMR spectrum of the
regenerated catalyst contained a strong aromatic carbon peak
with small fractions of –CO2R, Caromatic–O and aliphatic groups
(Fig. 2, orange solid line). This character is similar to that of
original E-Carbon. A portion of the prepared catalyst was again
mix-milled with Eucalyptus and subjected to the hydrolysis
reaction in the same manner as described above. The reaction
produced glucose in 82% yield and xylose in 89% yield (Table 1,
entry 5). We also compared the catalytic activity of the rst- and
second-cycle E-Carbon at a lower temperature. The experiments
at 473 K indicated no decline of catalytic activity by the second
air oxidation (Table S4†). It is thus demonstrated that the
mixture of lignin and E-Carbon changes to a new active E-Carbon
by air oxidation. Since both lignin and E-Carbon are aromatic
polymers, their transformation to the new catalyst is easier than
the rst synthesis of E-Carbon from lignocellulose. Preparation of E-Carbon Eucalyptus powder was washed with boiling water prior to use
for all purposes in this study. 4.00 g of dried Eucalyptus powder
was spread with a thickness of 3 mm on a Pyrex dish (ø130) to
uniformly prepare the catalyst and avoid hot spots. The sample
was calcined under air at atmospheric pressure in an electric
furnace with the following program: 298 to 573 K by 5 K min1
and 573 K for 1 h. In the case of reaction residue, the residue of
1.63 g was calcined under the same conditions. The tempera-
ture inside the sample was monitored using a thermocouple
(ø0.5) equipped with a quartz tube (ca. ø1). Mix-milling Eucalyptus (5.0 g) and catalyst (0.77 g) were milled together in an
Al2O3 pot (250 mL) with Al2O3 balls (99.9%, ø15, 210 g) using
a Fritsch P-6 planetary ball mill. Milling conditions were 500
rpm for 2 h with a 10 min interval aer every 10 min of milling. Conclusions Our system
can leverage the contaminant (lignin) for the preparation of
catalyst, which is in sharp contrast to conventional catalytic
processes that require removal of the contaminant. This journal is © The Royal Society of Chemistry 2016 Edge Article do not use strong acid but involve weak acids (carboxylic acids). However, they have different optimal conditions due to the
difference in their skeletal and active structures. The carbon is
composed of an aromatic framework and weak acids, and
thereby high temperatures and a wide range of pH are appli-
cable in catalytic reactions. On the other hand, cellulase is
a protein that requires a conjugated base (carboxylate) in
addition to carboxylic acid for the dissociation of glycosidic
bonds; thus, low temperature and careful control of the pH with
a buffer are necessary to keep the enzyme active. Consequently,
E-Carbon can work under harsher conditions, which enables the
rapid hydrolysis of lignocellulose in trace HCl aq. at high
temperature. Moreover, our catalyst is reusable and the price
(ca. 0.1 GBP kg1) is two-orders lower than that of cellulase (6.5–
26 GBP kg1).1,51 the formation of glucose as a main product (27% yield).9
Therefore, in the conversion of Eucalyptus, reactions in the
absence of HCl or carbon catalyst provide unpractical yields of
monomeric sugars (entries 1–3). HCl can be neutralised aer
the reaction with very low economic impact, as the acid
concentration is less than 1/50 of conventional mineral acid
processes.1 Controlled
experiments
were performed to
reveal
the
important parameters inuencing the catalytic activity of E-
Carbon. Since a reaction in aq. HCl without E-Carbon afforded
glucose in 32% yield and xylose in 26% yield (entry 3), E-Carbon
increases the yield of glucose by 46% and yield of xylose by 68%
(subtraction of yields in entry 3 from those in entry 4). The
increase corresponds to a turnover number of carboxylic acid of
5.6. The result indicates that E-Carbon acts as a catalyst for the
hydrolysis of cellulose and hemicellulose in Eucalyptus. We
also found that the air-oxidised carbon prepared from cellulose
worked in this reaction similarly to E-Carbon as shown in entry 7
(glucose 77%, xylose 91%). This shows that a cellulose-derived
part also constitutes the active catalytic domain in E-Carbon. Contrastingly, the Eucalyptus-based catalyst prepared by N2
treatment was inactive (glucose 28%, xylose 26%; entry 6). Therefore, it is concluded that the air oxidation of woody
biomass
provides
active
catalysts
for
the
hydrolysis
of
lignocellulose. Pretreatment and catalytic reaction Table 1
Hydrolysis of Eucalyptus by Eucalyptus-based catalystsa
Entry
Solvent
Catalyst
Product yield/%
Glucoseb
Xylosec
1
Water
No catalyst
3
30
2
Water
E-Carbon
31
83
3
HCld
No catalyst
32
26
4
HCld
E-Carbon (1st cycle)
78
94
5
HCld
E-Carbon (2nd cycle)
82
89
6
HCld
N2-treated Eucalyptus
28
26
7
HCld
Air-oxidised cellulose
77
91 Table 1
Hydrolysis of Eucalyptus by Eucalyptus-based catalystsa E-Carbon and Eucalyptus [1 : 6.48 (wt)] were milled together,
named mix-milling,9 by planetary ball-milling44–46 for realising
a high-yielding synthesis of sugars. Cellulose and hemicellulose Fig. 3
Proposed structure of E-Carbon. a Reaction conditions: mix-milled sample 374 mg [Eucalyptus 324 mg,
catalyst 50 mg (containing 0.11 mmol of carboxylic acid groups)],
solvent 40 mL. The reaction temperature was elevated from 298 K to
488 K in 17 min, and then quickly cooled down to 298 K. b Based on
carbon content of cellulose. c Based on carbon content of xylan. d 120
ppm HCl (¼ 0.13 mmol). Fig. 3
Proposed structure of E-Carbon. This journal is © The Royal Society of Chemistry 2016 694 | Chem. Sci., 2016, 7, 692–696 694 | Chem. Sci., 2016, 7, 692–696 694 | Chem. Sci., 2016, 7, 692–696 Chemical Science
View Article Online Chemical Science
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6422–6425. 43 X. Huang, Materials, 2009, 2, 2369. 44 C. F. Burmeister and A. Kwade, Chem. Soc. Rev., 2013, 42,
7660–7667. 14 I. Delidovich and R. Palkovits, Microporous Mesoporous
Mater., 2016, 219, 317–321. 45 N. Meine, R. Rinaldi and F. Sch¨uth, ChemSusChem, 2012, 5,
1449–1454. 15 A. T. To, P.-W. Chung and A. Katz, Angew. Chem., Int. Ed.,
2015, 54, 11050–11053. 46 A. Shrotri, L. K. Lambert, A. Tanksale and J. Beltramini,
Green Chem., 2013, 15, 2761. 16 S. Suganuma, K. Nakajima, M. Kitano, D. Yamaguchi,
H. Kato, S. Hayashi and M. Hara, J. Am. Chem. Soc., 2008,
130, 12787–12793. 47 R. G. Blair, in Production of Biofuels and Chemicals with
Ultrasound, ed. Z. Fang, R. L. Smith Jr and X. Qi, Springer,
Dordrecht, 2014, pp. 269–288. 17 A. Onda, T. Ochi and K. Yanagisawa, Green Chem., 2008, 10,
1033–1037. 48 M. Yabushita, H. Kobayashi, K. Hara and A. Fukuoka, Catal. Sci. Technol., 2014, 4, 2312–2317. 18 R. Rinaldi, N. Meine, J. vom Stein, R. Palkovits and
F. Sch¨uth, ChemSusChem, 2010, 3, 266–276. 49 J. Geboers, S. van de Vyver, K. Carpentier, P. Jacobs and
B. Sels, Chem. Commun., 2011, 47, 5590–5592. 19 S. van de Vyver, L. Peng, J. Geboers, H. Schepers, F. de
Clippel, C. J. Gommes, B. Goderis, P. A. Jacobs and
B. F. Sels, Green Chem., 2010, 12, 1560–1563. 50 D. L. Zechel and S. G. Withers, Acc. Chem. Res., 2000, 33, 11–
18. 51 N. A. Bauer and W. R. Gibbons, Int. J. Agric. Biol. Eng., 2012,
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2010, 46, 6935–6937. This journal is © The Royal Society of Chemistry 2016 696 | Chem. Sci., 2016, 7, 692–696
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https://openalex.org/W4386028122
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http://journal.umg.ac.id/index.php/manajerial/article/download/5968/3372
|
Indonesian
| null |
Dorongan Masyarakat Jawa Timur Menjadi Pekerja Migran Indonesia
|
Jurnal Manajerial
| 2,023
|
cc-by
| 7,465
|
Abstract Research Limitations - This research was conducted only in certain areas. The northern region is
represented by the northern coastal area of Lamongan, the southern region is represented by Trenggalek
Regency, the western region is represented by Ngawi Regency, and finally the eastern region is
represented by Sumenep Regency and prioritizes the small island in Sumenep, namely Sapudi Island. Research Implications - This research has important implications for the general public, Indonesian
immigrant workers as well as for future research. The general public will know what things might happen
when they become immigrant workers, and how the immigrants survive in other countries in order to
improve their family's economic standard. Immigrant workers can meet their needs in life, while further
researchers can dig deeper into other elements that encourage immigrant workers to work abroad. g
p
g
g
Research Limitations - This research was conducted only in certain areas. The northern region is
represented by the northern coastal area of Lamongan, the southern region is represented by Trenggalek
Regency, the western region is represented by Ngawi Regency, and finally the eastern region is
represented by Sumenep Regency and prioritizes the small island in Sumenep, namely Sapudi Island. Keyword: Encouragement, Public, East, Java, Immigrant, Workers Dorongan Masyarakat Jawa Timur Menjadi Pekerja Migran Indonesia Maulidyah Amalina Rizqi*
Program Studi Manajemen, Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Gresik,
Gresik, Indonesia, maulidyah@umg.ac.id
*Corresponding author Maulidyah Amalina Rizqi*
Program Studi Manajemen, Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Gresik,
Gresik, Indonesia, maulidyah@umg.ac.id
*Corresponding author P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 Abstract Abstract
Background - The unemployment rate in East Java province is below
the national average and the poverty rate in East Java province has
decreased from the previous year. However, the number of Indonesian
migrant workers originating from East Java ranks first nationally. Objectives - The aim of this research is to prove that there is a drive
from within the community to become migrant workers. Researchers
also want to find out what things make the people of East Java to become migrant workers. Design/ Methodology/ Approach - This study uses a Descriptive-Qualitative paradigm approach, with
data collection techniques in the form of interviews with active and non-active Indonesian migrant workers
(ex immigrants). Diterima : 02 Juli 2023
Direview : 25 Juli 2023
Direvisi : 14 Agustus 2023
Disetujui : 16 Agustus 2023 Background - The unemployment rate in East Java province is below
the national average and the poverty rate in East Java province has
decreased from the previous year. However, the number of Indonesian
migrant workers originating from East Java ranks first nationally. Diterima : 02 Juli 2023
Direview : 25 Juli 2023
Direvisi : 14 Agustus 2023
Disetujui : 16 Agustus 2023 (
g
)
Findings - Some of the elements that encourage people to become Indonesian immigrant workers are
invitations from family, colleagues or friends, low income, economic improvement, living facilities and low
education. Some of these elements are the encouragement or motivation of individuals to meet several
needs in personal and social life and each individual wants to fulfill these needs in his life. Conclusion - This research produced several elements that encouraged the people of East Java,
especially to become Indonesian immigrant workers, namely invitations from family, colleagues or friends,
low income in Indonesia, economic improvement, living facilities and low education. Some of these
elements are the encouragement or motivation of individuals to fulfill several needs in personal and social
life. f
Research Implications - This research has important implications for the general public, Indonesian
immigrant workers as well as for future research. The general public will know what things might happen
when they become immigrant workers, and how the immigrants survive in other countries in order to
improve their family's economic standard. Immigrant workers can meet their needs in life, while further
researchers can dig deeper into other elements that encourage immigrant workers to work abroad. py g
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Temuan - Beberapa unsur yang mendorong masyarakat menjadi pekerja imigran indonesia adalah
ajakan dari keluarga, rekan atau teman, pendapatan rendah, peningkatan ekonomi, fasilitas hidup dan
pendidikan rendah. Beberapa unsur tersebut merupakan dorongan atau motivasi individu untuk
memenuhi beberapa kebutuhan dalam kehidupan pribadi maupun sosial dan setiap individu ingin
memenuhi kebutuhan-kebutuhan dalam kehidupannya. y
Kesimpulan - Penelitian ini menghasilkan beberapa unsur yang mendorong masyarakat Jawa Timur
khususnya untuk menjadi pekerja imigran indonesia, yakni ajakan dari keluarga, rekan atau teman,
pendapatan rendah di Indonesia, peningkatan ekonomi, fasilitas hidup dan pendidikan rendah. Beberapa unsur tersebut merupakan dorongan atau motivasi individu untuk memenuhi beberapa
kebutuhan dalam kehidupan pribadi maupun sosial. Implikasi Penelitian - Penelitian ini memiliki implikasi penting bagi masyarakat umum, pekerja
imigran Indonesia maupun untuk penelitian yang akan datang. Masyarakat umum akan mengetahui
hal apa saja yang mungkin terjadi saat menjadi pekerja imigran, dan bagaimana cara para imigran itu
untuk bertahan hidup dinegara lain demi meningkatkan taraf ekonomi keluarga. Pekerja imigran dapat
memenuhi kebutuhan dalam hidupnya, sedangkan peneliti selanjutnya dapat menggali lebih dalam
unsur lain yang mendorong para pekerja imigran untuk bekerja di luar negeri. Batasan Penelitian - Penelitian ini dilakukan hanya pada wilayah-wilayah tertentu. Wilayah utara
diwakili area lamongan pesisir utara, wilayah selatan diwakili oleh kabupaten trenggalek, wilayah barat
diwakili oleh kabupaten ngawi, dan terakhir wilayah timur diwakili kabupaten sumenep dan
diutamakan pada pulau kecil di sumenep yakni pulau sapudi. Kata Kunci: Dorongan, Masyarakat, Jawa, Timur, Pekerja, Imigran Abstrak LatarBelakang - Tingkat pengangguran di provinsi jawa timur dibawah rata-rata nasional dan juga
tingkat kemiskinan provinsi jawa timur mengalami penurunan dari tahun sebelumnya. Namun
demikian jumlah pekerja migran Indonesia yang berasal dari jawa timur menduduki peringkat pertama
secara nasional. Tujuan - Tujuan penelitian ini adalah ingin membuktikan adanya dorongan dari dalam diri masyarakat
untuk menjadi pekerja migran. Peneliti juga ingin mencari tahu hal apa saja yang membuat
masyarakat jawa timur untuk menjadi pekerja migran. Desain /Metodologi /Pendekatan - Penelitian ini menggunakan pendekatan berparadigma Deskriptif-
Kualitatif, dengan teknik pengambilan data berupa wawancara terhadap para pekerja migran indonesia
aktif maupun non aktif (ex imigran) 430 Copyright© Creative Commons Attribution 4.0 International License Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Tim P-ISSN : 2354-8592
E-ISSN : 2621-5055 Copyright© Creative Commons Attribution 4.0 International License py g
ram Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Kata Kunci: Dorongan, Masyarakat, Jawa, Timur, Pekerja, Imigran PENDAHULUAN sebagai pelajar, ibu rumah tangga, pekerja
(tenaga Kerja), Wirausaha, purna kerja
atau purna tugas (pensiun) bahkan ada
juga yang masih menganggur. Indonesia memiliki jumlah penduduk lebih
dari 250 juta jiwa. Menurut BPS (Badan
Pusat
Statistik)
jumlah
penduduk
Indonesia diproyeksikan sebanyak 275,77
juta
jiwa
pada
tahun
2022. Jumlah
tersebut naik 1,13% dibandingkan pada
tahun lalu 2021 yang sebanyak 272,68 juta
jiwa. Ratusan juta penduduk Indonesia
tersebut
terdiri
dari
beberapa
peran, Berdasarkan
data
dari
badan
pusat
statistik
terdapat
perbandingan
dan
perubahan
jumlah
tenaga
kerja
dan
pengangguran dari tahun 2021 ke 2022. Berikut dilampirkan data tersebut setiap
bulan agustus: Tabel 1. Data Pekerja dan pengangguran Tabel 1. Data Pekerja dan pengangguran Tabel 1. Data Pekerja dan pengangguran
Bekerja
Pengangguran
2021
2022
2021
2022
Prosentase %
93,51%
94,14%
6,49%
5,86%
Jumlah
131.050.520
135.296.710
9.102.050
8.425.930
Sumber: Badan Pusat Statistik, 2022 431
penurunan jumlah pengangguran. Dari
275,77 juta penduduk indonesia per tahun
2022, terdapat 135.296.710 jiwa penduduk
indonesia yang memiliki peran sebagai Dari data diatas dapat dilihat bahwa
jumlah masyarakat yang bekerja naik
sebesar 0,63 % dari tahun sebeumnya, dan
hal
tersebut
juga
dibuktikan
dengan 431 Copyright© Creative Commons Attribution 4.0 International License Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 tenaga
kerja
aktif
sedangkan
jumlah
pengangguran per agustus 2022 terdapat
8.425.930 jiwa. Data yang dipaparkan oleh
peneliti diatas adalah data di tahun 2022,
sedangkan di tahun 2021 jumlah tenaga
kerja aktif lebih sedikit daripada tahun
2022. Data
diatas
menunjukkan
bahwa
provinsi jawa timur menduduki posisi
teratas bahkan selama tahun 2022 jawa
timur selalu menduduki jumlah pekerja
migran
terbanyak. Tingginya
jumlah
pekerja migran yang berasal dari jawa
timur menunjukkan bahwa minat atau
keinginan masyarakat Jawa Timur untuk
menjadi pekerja migran cukup banyak. Selain data diatas tingkat pengangguran di
provinsi jawa timur juga tidak terlalu jauh
dari
rata-rata
nasional. Menurut
BPS
(Badan Pusat Statistik) data pengangguran
nasional per agustus 2022 adalah 5.86%
dan
jawa
timur
memiliki
tingkat
penganguran
sebesar
5,49%. Data
pengangguran jawa timur hanya selisih
0,35%
dari
data
nasional. Tingkat
kemiskinan
di
provinsi
jawa
timur
mengalami penurunan dari tahun 2021. Kemiskinan provinsi jawa timur sebesar
11,40% di tahun 2021, sedangkan di tahun
2022 menurun menjadi 10,38%. Jumlah pengangguran di Indonesia
masih menyentuh angka lebih dari delapan
juta jiwa, hal ini menjadi salah satu alasan
masyarakat Indonesia mencari lapangan
kerja di luar negeri dengan menjadi pekerja
migran Indonesia. Terbukti menurut BP2MI
(Badan
Perlindungan
Pekerja
Migran
Indonesia)
jumlah
pekerja
migran
Indonesia hingga November tahun 2022
masih di angka 28.373 jiwa yang tersebar
di
beberapa
negara
yakni,
Hongkong,
Taiwan, Malaysia, Singapura, Saudi arabia,
Jepang dan italia. Mayoritas pekerja migran Indonesia
bekerja di Malaysia dengan jumlah 9.808
jiwa. Sedangkan menurut Dataindonesia.id
dan BP2MI untuk asal daerah pekerja
migran Indonesia ini berasal dari jawa
timur, jawa tengah, NTB, jawa barat,
Sumatera Utara dan Lainnya. Copyright© Creative Commons Attribution 4.0 International License
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Tabel 1. Data Pekerja dan pengangguran Menurut
BP2MI jumlah pekerja migran Indonesia
berdasarkan asal daerah yakni Jawa Timur
sebanyak
6.119
jiwa,
Jawa
Tengah
sebanyak 5.691 jiwa, NTB sebanyak 5.073
Jiwa, jawa Barat sebanyak 4.662 jiwa dan
Sumatera
Utara
sebanyak
2.378
dan
Provinsi lainnya sebanyak 4.550 Jiwa. 432
Beberapa data diatas menunjukkan
bahwa tingkat pengangguran di provinsi
jawa timur dibawah rata-rata nasional dan
juga tingkat kemiskinan provinsi jawa
timur mengalami penurunan dari tahun
sebelumnya. Namun
demikian
jumlah
pekerja migran Indonesia yang berasal dari
jawa timur menduduki peringkat pertama
secara
nasional. Proposisi
sementara
peneliti adalah banyak dari masyarakat
jawa timur ingin menjadi pekerja migran 432 P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 ada di sekitarnya, rendah nya Pendidikan,
ekonomi keluarga dan lingkungan internal
maupun eksternal. Sedangkan menurut
Husniawati (2019) terdapat empat faktor
yang mempengaruhi motivasi tenaga kerja
Indonesia untuk bekerja ke luar negeri di
Kabupaten
Lombok
Timur,
yaitu
kebutuhan,
harapan
pribadi,
kondisi
ekonomi keluarga, dan kondisi lingkungan
masyarakat. karena ingin mendapatkan pencapaian
pendapatan
yang
tinggi. Proposisi
ini
terbentuk
juga
dikarenakan
data
Pendidikan akhir masyarakat jawa timur
yang cukup rendah. Dikatakan rendah
dikarenakan hanya 7,31% penduduk yang
mengenyam Pendidikan di perguruan tinggi
sedangkan
lulusan
sekolah
dasar
menduduki
posisi
teratas,
sebanyak
27,02%. Lebih menyedihkan lagi adalah
sebanyak 22,02% penduduk Jawa Timur
tidak memiliki Ijazah. ada di sekitarnya, rendah nya Pendidikan,
ekonomi keluarga dan lingkungan internal
maupun eksternal. Sedangkan menurut
Husniawati (2019) terdapat empat faktor
yang mempengaruhi motivasi tenaga kerja
Indonesia untuk bekerja ke luar negeri di
Kabupaten
Lombok
Timur,
yaitu
kebutuhan,
harapan
pribadi,
kondisi
ekonomi keluarga, dan kondisi lingkungan
masyarakat. Berbagai hasil penelitian yang sudah
dilakukan sebelumnya menunjukkan hasil
yang variatif terhadap motivasi masyarakat
yang menjadi tenaga kerja Indonesia (TKI). Maka penelitian ini ingin membuktikan
adanya dorongan dari masyarakat untuk
menjadi pekerja migran. Peneliti juga ingin
mencari tahu hal apa saja yang membuat
masyarakat jawa timur untuk menjadi
pekerja migran. Kemungkinan besar faktor Pendidikan
yang rendah membuat para masyarakat
jawa timur memilih menjadi pekerja migran
Indonesia. Namun
kembali
lagi
ini
hanyalah sebuah proposisi yang perlu
dibuktikan. Menurut Sekarimah (2017)
bahwa keadaan ekonomi keluarga TKI
mengalami
ketidakseimbangan
antara
penghasilan dan kebutuhan yang harus
dipenuhi sehingga mengambil keputusan
untuk bekerja menjadi TKI di luar negeri
yang
menjadi
alternatif
yang
sangat
menjanjikan. Tabel 1. Data Pekerja dan pengangguran Setelah
kembalinya
dari
bekerja menjadi TKI, kebutuhan dasar
keluarga TKI dapat dipenuhi sehingga
menjadikan mereka manusia yang lebih
baik dalam aspek ekonomi atau non
ekonomi
lainnya
seperti
aspek
sosial,
budaya, keamanan dan psikologi. py g
ram Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 kecelakaan
kerja,
jaminan
akan
kelangsungan
pekerjaannya
dan
jaminan akan hari tuanya pada saat
mereka tidak lagi bekerja. didalam proses produksi yaitu hubungan
industrial. Motivasi kerja dapat diartikan
sebagai
bagian
integral
dari
hubungan/industrial dalam rangka proses
pembinaan,
pengembangan,
dan
pengarahan sumber daya manusia dalam
suatu perusahaan (Sinungan, 2008:134) c. Kebutuhan sosial (social-need), Jika
kebutuhan fisiologis dan rasa aman
telah
terpuaskan
secara
minimal,
maka akan muncul kebutuhan sosial. Yaitu
kebutuhan
untuk
persahabatan, afiliasi dana interaksi
yang lebih erat dengan orang lain. Dalam
organisasi
akan
berkaitan
dengan
kebutuhan
akan
adanya
kelompok
kerja
yang
kompak,
supervise yang baik, rekreasi bersama
dan sebagainya. Berikut ini berbagai macam teori
motivasi menurut para pakarnya yaitu:
Maslow
(teori
hierarki
kebutuhan),
McClelland (teori motivasi prestasi), Mc
Gregor (teori X dan Y), teori motivasi
Hezberg, dan Teori ERG Aldefer. Berikut
penjelasannya: py g
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Teori Motivasi Motivasi adalah keadaan jiwa dan sikap
mental manusia yang memberikan energi,
mendorong kegiatan atau gerakan dan
mengarah atau menyalurkan perilaku ke
arah
mencapai
kebutuhan
yang
memberikan kepuasan atau mengurangi
ketidakseimbangan. Kebutuhan-kebutuhan
tersebut timbul akibat dari hubungan
antar manusia yang dlama hal ini lebih
ditekankan pada hubungan yang terjadi Menurut
Rizqi
(2018)
factor
yang
menjadikan masyarakat menjadi tenaga
kerja Indonesia adalah orang-orang yang 433 Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 py g
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License
P
St di M
j
U i
it
M h
di
h G
ik J
Ti
I d
i Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 mendapatkan
penghormatan
dan
penghargaan masyarakat. potensinya yang meningkat karena
orang
mengaktualisasikan
perilakunya. Seseorang
yang
didominasi
oleh
kebutuhan
akan
aktualisasi diri senang akan tugas-
tugas yang menantang kemampuan
dan keahliannya. mendapatkan
penghormatan
dan
penghargaan masyarakat. mendapatkan
penghormatan
dan
penghargaan masyarakat. potensinya yang meningkat karena
orang
mengaktualisasikan
perilakunya. Seseorang
yang
didominasi
oleh
kebutuhan
akan
aktualisasi diri senang akan tugas-
tugas yang menantang kemampuan
dan keahliannya. potensinya yang meningkat karena
orang
mengaktualisasikan
perilakunya. Seseorang
yang
didominasi
oleh
kebutuhan
akan
aktualisasi diri senang akan tugas-
tugas yang menantang kemampuan
dan keahliannya. potensinya yang meningkat karena
orang
mengaktualisasikan
perilakunya. Seseorang
yang
didominasi
oleh
kebutuhan
akan
aktualisasi diri senang akan tugas-
tugas yang menantang kemampuan
dan keahliannya. e. Kebutuhan
aktualisasi
diri,
kebutuhan
puncak
yang
paling
tinggi,
sehingga
seseorang
ingin
mempertahankan prestasinya secara
optimal. Teori Motivasi Maslow diatas adalah
teori motivasi yang bersifat umum atau
general, sedangkan persamaan di dalam
dunia kerja dengan teori motivasi Maslow
tersebut adalah sebagai berikut: P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Teori Motivasi Maslow Teori hirarki kebutuhan dari Abraham
Maslow menurut Sofyandi dan Garniwa
(2007:102) terdiri dari: d. Kebutuhan
penghargaan
(Esteem-
need),
Kebutuhan
ini
meliputi
kebutuhan
keinginan
untuk
dihormati,
dihargai
atas
prestasi
seseorang,
pengakuan
atas
kemampuan dan keahlian seseorang
serta efektifitas kerja seseorang. a. Kebutuhan Fisiologis (Physiological-
need),
Kebutuhan
Fisiologis
merupakan
hirarki
kebutuhan
manusia yang paling dasar yang
merupakan kebutuhan untuk dapat
hidup
seperti
makan,
minum,
perumahan,
oksigen,
tidur
dan
sebagainya. 434
e. Kebutuhan
aktualisasi
diri
(self-
actualization need), Aktualisasi diri
merupakan hirarki kebutuhan dari
Maslow yang paling tinggi. Aktualisasi
diri
berkaitan
dengan
proses
pengembangan
potensi
yang
sesungguhnya
dari
seseorang. Kebutuhan
untuk
menunjukkan
kemampuan, keahlian dan potensi
yang dimiliki seseorang. Kebutuhan
aktualisasi diri ada kecenderungan b. Kebutuhan rasa aman (safety need),
Apabila kebutuhan fisiologis relative
sudah
terpuaskan,
maka
muncul
kebutuhan kedua yaitu kebutuhan
akan rasa aman. Kebutuhan akan
rasa aman ini meliputi keamanan
akan
perlindungan
dari
bahaya 434 Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 melebihi, mencapai standar-standar,
berusaha keras untuk berhasil. mana mereka bisa menentukan tujuan-
tujuan yang cukup menantang. Individu berprestasi tinggi bukanlah
penjudi, mereka tidak suka berhasil secara
kebetulan. Mereka
lebih
menyukai
tantangan menyelesaikan sebuah masalah
dan menerima tanggung jawab pribadi
untuk
keberhasilan
atau
kegagalan
daripada
menyerahkan
hasil
pada
kesempatan atau tindakan individu lain. Yang penting, mereka menghindari apa
yang mereka anggap sebagai tugas yang
sangat mudah atau sangat sulit. Mereka
lebih menyukai tugas-tugas dengan tingkat
kesulitan menengah (Robbins, 2011) b. Kebutuhan
kekuatan
(need
for
power) : kebutuhan untuk membuat
individu lain berperilaku sedemikian
rupa sehingga mereka tidak akan
berperilaku sebaliknya. c. Kebutuhan
hubungan
(need
for
affiliation)
:
keinginan
untuk
menjalin
suatu
hubungan
antar
personal yang ramah dan akrab. Beberapa individu memiliki dorongan
yang kuat untuk berhasil. Mereka lebih
berjuang untuk memperoleh pencapaian
pribadi daripada memperoleh penghargaan. Mereka
memilki
keinginan
untuk
melakukan sesuatu dengan lebih baik atau
lebih efisien dibandingkan sebelumnya. Dorongan
ini
merupakan
kebutuhan
pencapaian prestasi. Copyright© Creative Commons Attribution 4.0 International License py g
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Teori Motivasi Prestasi dari Mc. Clelland Teori Motivasi Prestasi dari Mc. Clelland
Teori
kebutuhan
Mc
Clelland
dalam
Robbins (2011:232), (McClelland’s theory of
need) dikembangkan oleh David McClelland
dan rekan-rekannya. Dikatakan bahwa
prestasi (achievement), kekuasaan (power),
dan afiliasi (affiliation) adalah motivasi yang
kuat pada setiap individu. McClelland
mengajukan teori yang berkaitan dengan
konsep
belajar
dimana
kebutuhan
diperoleh
dari
budaya
dan
dipelajari
melalui lingkungannya. a. Kebutuhan
fisiologis,
kebutuhan
yang pertama dan utama yang wajib
dipenuhi
oleh
tiap
individu. Kebutuhan
utama
inilah
yang
mendorong setiap individu untuk
melakukan
pekerjaan
apa
saja,
karena
ia
akan
memperoleh
imbalan, baik berupa uang, ataupun
barang yang akan digunakan untuk
memenuhi kebutuhan utama ini Karena kebutuhan ini dipelajari, maka
perilaku yang diberikan reward cenderung
lebih
sering
muncul. McClelland
juga
mengungkapkan
bahwa
terdapat
kebutuhan
seseorang
untuk
mencapai
tujuannya hal ini juga berkaitan dengan
pembentukan perilaku serta pengaruhnya
terhadap prestasi akademik, hubungan
interpersonal, pemilihan gaya hidup, dan
unjuk kerja. Hal-hal tersebut didefinisikan
sebagai berikut: b. Kebutuhan
keamanan
atau
perlindungan,
tiap
individu
mendambakan
keamanan
bagi
dirinya, termasuk keluarganya. c. Kebutuhan
kebersamaan
atau
sosial, tiap individu senantiasa perlu
pergaulan dengan sesamanya. d. Kebutuhan
penghormatan
atau
penghargaan,
tiap
individu
melakukan pekerjaan atau kegiatan
yang
memungkinkan
ia a. Kebutuhan
prestasi
(need
for
achievement)
:
dorongan
untuk 435 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
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Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 hukuman
dan
diarahkan
untuk
pencapaian tujuan organisasi. py g
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Teori X dan Y dari Mc. Gregor Teori
motivasi
yang
menggabungkan
internal dan eksternal dikembangkan oleh
Mc. Gregor. Telah
merumuskan
dua
perbedaan
dasar
mengenai
perilaku
manusia. Kedua teori itu disebut teori X
dan Y. Teori tradisional terkait kehidupan
organisasi
banyak
diarahkan
dan
dikendalikan atas dasar teori X. Adapun
anggapan yang mendasari teori X menurut
Reksohadiprojo dan Handoko (2002). Dari
hasil
penelitiannya
terhadap
kebutuhan
pencapaian,
McClelland
menemukan
bahwa
individu
dengan
prestasi tinggi membedakan diri mereka
dari
individu
lain
menurut
keinginan
mereka untuk melakukan hal-hal dengan
lebih baik. Mereka mencari situasi-situasi
dimana bisa mendapatkan tanggung jawab
pribadi guna mencari solusi atas berbagai
maslah, bisa menerima umpan balik yang
cepat
tentang
kinerja
sehingga
dapat
dengan
mudah
menentukan
apakah
mereka berkembang atau tidak, dan di a. Rata-rata pekerja itu malas, tidak
suka bekerja dan kalau bisa akan
menghindarinya. b. Karena pada dasarnya tidak suka
bekerja maka harus dipaksa dan
dikendalikan, diperlakukan dengan 436 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Teori Motivasi dari Herzberg 437 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 dalam dorongan apa saja yang membuat
masyarakat ingin menjadi pekerja imigran
Indonesia. memiliki rata-rata dibawah rata-rata nilai
pengangguran secara nasional, hal ini yang
membuat
peneliti
ingin
meneliti
lebih Gambar 1: Model Alur Fikir Penelitian
Status Pekerja Meningkat
0,63% dari tahun 2021 ke
2022 dibuktikan dengan
penurunan tingkat
pengangguran. Jumlah Pekerja
Imigran di jawa timur
tertinggi dari provinsi
lain sejumlah 6.119
jiwa
Jumlah
pengangguran
Jawa timur
dibawah rata-
rata nasional. Dorongan
Masyarakat Jatim
menjadi PMI
Wawancara
Mendalam
Kualitatif Status Pekerja Meningkat
0,63% dari tahun 2021 ke
2022 dibuktikan dengan
penurunan tingkat
pengangguran. Jumlah Pekerja
Imigran di jawa timur
tertinggi dari provinsi
lain sejumlah 6.119
jiwa Jumlah
pengangguran
Jawa timur
dibawah rata-
rata nasional. Wawancara
Mendalam Dorongan
Masyarakat Jatim
menjadi PMI Kualitatif Gambar 1: Model Alur Fikir Penelitian Alasan
menggunakan
metode
ini
adalah peneliti akan terlibat langsung
terhadap
apa
yang
diteliti
dan
juga
melibatkan
diri
terhadap
obyek
yang
diteliti, tetapi peneliti tidak perlu ikut
campur untuk melakukan perubahan di
dalamnya tentang apa yang ada dan terjadi
dalam subyek dan konteks penelitian. Dalam penelitian ini menggunakan desain
kasus tunggal holistic, desain ini untuk
melakukan eksplorasi secara mendalam
(spesifik) tentang kejadian tertentu atau
beberapa peristiwa dari sebuah fenomena. Penelitian
ini
hanya
berfokus
pada
sejumlah kecil kejadian yang diselidiki
secara mendalam dalam satu rentang
waktu, dan dalam penelitian ini hanya Teori Motivasi dari Herzberg Teori motivasi yang dikemukakan oleh
Herzberg dan kelompoknya. Teori ini sering
disebut dengan M–H atau teori dua faktor,
bagaimana manajer dapat mengendalikan
faktor-faktor
yang
dapat
menghasilkan
kepuasan kerja atau ketidakpuasan kerja. Berdasarkan penelitian telah dikemukakan
dua kelompok faktor yang mempengaruhi
seseorang
dalam
organisasi,
yaitu
”motivasi”. Disebut bahwa motivasi yang
sesungguhnya
sebagai
faktor
sumber
kepuasan kerja adalah prestasi, promosi,
penghargaan dan tanggung jawab. Teori motivasi yang dikemukakan oleh
Herzberg dan kelompoknya. Teori ini sering
disebut dengan M–H atau teori dua faktor,
bagaimana manajer dapat mengendalikan
faktor-faktor
yang
dapat
menghasilkan
kepuasan kerja atau ketidakpuasan kerja. c. Rata-rata
pekerja
lebih
senang
dibimbing,
berusaha
menghindari
tanggung jawab, mempunyai ambisi
kecil,
kemamuan
dirinya
diatas
segalanya. Teori ini masih banyak digunakan oleh
organisasi karena para manajer bahwa
anggapan-anggapan itu benar dan banyak
sifat-sifat yang diamati perilaku manusia,
sesuai dengan anggapan tersebut teori ini
tidak dapat menjawab seluruh pertanyaan
yang terjadi pada orgaisasi. Mc. Gregor
menjawab dengan teori yang berdasarkan
pada kenyataannya. Anggapan dasar teori
Y adalah: Berdasarkan penelitian telah dikemukakan
dua kelompok faktor yang mempengaruhi
seseorang
dalam
organisasi,
yaitu
”motivasi”. Disebut bahwa motivasi yang
sesungguhnya
sebagai
faktor
sumber
kepuasan kerja adalah prestasi, promosi,
penghargaan dan tanggung jawab. Kelompok faktor kedua adalah ”iklim
baik” dibuktikan bukan sebagai sumber
kepuasan kerja justru sebagai sumber
ketidakpuasan kerja. Faktor ini adalah
kondisi kerja, hubungan antar pribadi,
teknik pengawasan dan gaji. Perbaikan
faktor ini akan mengurangi ketidakpuasan
kerja, tetapi tidak akan menimbulkan
dorongan kerja. Faktor ”iklim baik” tidak
akan menimbulkan motivasi, tetapi tidak
adanya faktor ini akan menjadikan tidak
berfungsinya faktor ”motivasi”. a. Usaha
fisik
dan
mental
yang
dilakukan oleh manusia sama halnya
bermain atau istirahat. b. Rata-rata manusia bersedia belajar
dalam
kondisi
yang
layak,
tidak
hanya
menerima
tetapi
mencari
tanggung jawab. c. Ada kemampuan yang besar dalam
kecedikan,
kualitas
dan
daya
imajinasi
untuk
memecahkan
masalah-masalah
organisasi
yang
secara luas tersebar pada seluruh
pegawai. 437
Berikut digambarkan alur fikir dalam
penelitian ini, yang berawal dari data
pekerja
meningkat
dan
jumlah
pengangguran yang menurun dari tahun
2021-2022 namun jumlah pekerja imigran
di jawa timur masih menjadi pelopor
tertinggi diantara provinsi lainnya bahkan
jumlah
pengangguran
di
jawa
timur d. Pengendalian
dari
luar
hukuman
bukan
satu-satunya
cara
untuk
mengarahkan
tercapainya
tujuan
organisasi. Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 terfokus pada hal-hal yang mendorong
masyarakat jawa timur untuk menjadi
pekerja migran indonesia. data juga perlu diorganisasikan ke dalam
satu
bentuk
tertentu
(display
data)
sehingga terlihat sosok secara lebih utuh,
display data tersebut sangat diperlukan
untuk memudahkan upaya pemaparan dan
penegasan kesimpulan (conclusion)”. Penelitian
ini
hanya
menggunakan
teknik pengumpulan data dengan Metode
Wawancara secara luring maupun daring. Penelitian ini dilakukan berdasarkan arah
wilayah di jawa timur dari utara ke selatan
dan dari barat ke timur. Wilayah utara
diwakili
area
lamongan
pesisir
utara,
wilayah selatan diwakili oleh kabupaten
trenggalek, wilayah barat diwakili oleh
kabupaten ngawi, dan terakhir wilayah
timur diwakili kabupaten sumenep dan
diutamakan pada pulau-pulau kecil di
sumenep. Penentuan
informan
peneliti
menggunakan snowball sistem dari setiap
wilayah. Pemilihan ini bukan tanpa alasan,
peneliti
ingin
mencari
informasi
yang
banyak dan juga dalam terhadap seluruh
informan. Informan dapat PMI (pekerja
migran indonesia) yang masih aktif, sudah
purna dan yang ingin berangkat. Dalam
penelitian
kualitatif
rawan
sekali data yang diperoleh terjadi bias. Hal
tersebut wajar adanya, karena yang dicari
adalah kata-kata sehingga tidak mustahil
terdapat kata-kata keliru yang tidak sesuai
antara yang di katakan dengan keadaan
yang
sesungguhnya. Guna
menjaga
keabsahan data dalam penelitian, maka
digunakan pemeriksaan keabsahan data,
dalam penelitian ini menggunakan Teknik
triangulasi sumber sebagai salah satu cara
memvalidasi data hasil dari wawancara. Penulis melakukan triangulasi dengan cara
melakukan wawancara kembali kepada
informan
yang
berbeda
untuk
mengklarifikasi jawaban informan lain,
apakah mereka merasakan hal yang sama. Jika
jawaban
mereka
sama
maka
dinyatakan valid. Penelitian ini menggunakan tahapan
analisis
data
Sugiyono
(2008)
dapat
dilakukan
dengan
beberapa
tahapan
diantaranya: “Mengumpulkan data dengan
analisis data, hasil pengumpulan data
tersebut tentu saja perlu direduksi (data
reduction), yaitu dengan mengikhtiarkan
hasil
pengumpulan
data
selengkap
mungkin dan memilahnya ke dalam satuan
konsep tertentu, kategori tertentu dan
tema tertentu. Seperangkat hasil reduksi py g
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia METODOLOGI PENELITIAN Penelitian ini menggunakan pendekatan
berparadigma Kualitatif, menurut Bogdan
dan Taylor dalam kutipan dari Moleong
(2006) Metode Penelitian Kualitatif sebagai
prosedur penelitian yang menghasilkan
data deskriptif berupa kata-kata tertulis
atau lisan dari orang dan perilaku yang
dapat diamati. Semua yang dikumpulkan
berkemungkinan menjadi kunci terhadap
apa yang diteliti. Fatchan (2011) penelitian
kualitatif berasaskan latar ”alamiah” yang
berarti kajian dilakukan bersifat holistik
pada suatu gejala individu atau kelompok
masyarakat
tertentu
dalam
konteks
tertentu. 438 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
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E-ISSN : 2621-5055 Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Hasil penelitian Terdapat
beberapa
Dorongan
yang
membuat para Pekerja Migran Indonesia
(PMI)
untuk
mencari
penghidupan
di
negara lain. Adapun beberapa hal tersebut
adalah dorongan dari keluarga, dorongan
dari
teman,
pendapatan
rendah
di
indonesia,
meningkatkan
ekonomi
keluarga, ingin mendapatkan fasilitas lebih
baik, dan pendidikan yang rendah. Dari
hasil
penelitian
ini
peneliti
telah
melakukan proses reduksi, display dan
verifikasi dan peneliti akan menguraikan
hasil tersebut satu persatu: Deskripsi Informan Informan dalam penelitian ini berasal dari
berbagai kota yang ada di jawa timur. Tidak hanya asal daerah yang berbagai
macam, namun dari berbagai profesi pula. Adapun
beberapa
profesi
dari
para 439 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 informan
dalam
penelitian
ini
adalah
sebagai buruh (Asisten Rumah Tangga),
Buruh bangunan, Guru dan juga perawat. Negara
tempat
PMI
itu
bekerja
juga
berbagai macam dari Hongkong, Taiwan,
dan
Malaysia
dengan
tingkatan
kompensasi yang bermacam-macam pula. Penelitian ini tidak menyebutkan nama
informan
karena
para
pihak
tidak
berkenan namanya dipublikasikan. untuk menjadi orang sukses. Sedangkan
profesinya hanyalah sebagai perawat,
dimana di Indonesia ini gaji perawat
tidak
seberapa
baik,
maka
yang
bersangkutan
memilih
mencari
pekerjaan di luar negeri. Tidak hanya
itu, ada beberapa pernyataan PMI bahwa
mereka setelah Pendidikan Menengah
sudah berangkat ke luar negeri untuk
bekerja, karena sudah ada Orang tua
dan kakak disana yang sudah sebagai
imigran. py g
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia py g
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 P-ISSN : 2354-8592
E-ISSN : 2621-5055 3. Pendapatan rendah
Tingkat
pendapatan
yang
rendah
menjadi
salah
satu
pendorong
masyarakat untuk mencari pekerjaan
yang
lebih
baik
dan
memiliki
pendapatan yang lebih baik pula. Upah
minimum regional maupun kabupaten
tidak dapat menjadi tolok ukur bahwa
seluruh masyarakat di wilayah tersebut
memiliki upah dengan besaran yang
sama. Karena realitanya banyak dari
masyarakat di wilayah yang memiliki
UMR tersbesar juga memilih menjadi
PMI dikarenakan UMR tidak mereka
dapatkan bahkan dapat dikatakan jauh
di bawah rata-rata. Terdapat beberapa
informan
yang
profesi
sebelumnya
adalah nelayan dan buruh bangunan
memiliki
pendapatan
yang
tidak
menentu. Jika
cuaca
mendukung
mereka akan mendapatkan penghasilan
begitu
sebaliknya. Sama
dengan
informan yang sebagai buruh bangunan,
jika ada proyek pembangunan ya kerja
dan dapat penghasiln, jika tidak ada
proyek
maka
tidak
mendapatkan
apapun. Kondisi tidak menentu seperti
ini membuat banyak masyarakat dengan
profesi
tersebut
memilih
mencari
pendapatan di luar kota maupun luar
negeri agar pendapatan mereka lebih
stabil. 4. Peningkatan ekonomi
Hal yang paling mendasari seseorang
untuk berpindah atau bermigrasi adalah
demi
meningkatkan
perekonomian
keluarga. Informan yang ada dalam
penelitian
ini
dahulunya
memiliki
pendapatan yang tidak menentu dan
akhirnya
membuat
perekonomian
keluarga mereka tidaklah baik. Kondisi
yang demikian membuat para informan
lebih memilih menjadi PMI di negara lain
yang
lebih
menjanjikan
dan
dapat
meningkatkan
ekonomi
keluarga
mereka. Pendapatan para Imigran diluar
negeri cukup besar dan hal tersebut juga
tidak
menutup
kemungkinan
Biaya
hidup juga besar. Terbukti dari para
informan yang menyampaikan bahwa
mereka harus hidup hemat di negara
lain, jika tidak demikian maka mereka
tidak dapat menyisihkan dana untuk
keluarga
di
Indonesia. Jadi,
demi
meningkatkan
perekonomian
para
imigran
harus
hidup
sederhana
di
negara lain. 3. Pendapatan rendah
Tingkat
pendapatan
yang
rendah
menjadi
salah
satu
pendorong
masyarakat untuk mencari pekerjaan
yang
lebih
baik
dan
memiliki
pendapatan yang lebih baik pula. Upah
minimum regional maupun kabupaten
tidak dapat menjadi tolok ukur bahwa
seluruh masyarakat di wilayah tersebut
memiliki upah dengan besaran yang
sama. Karena realitanya banyak dari
masyarakat di wilayah yang memiliki
UMR tersbesar juga memilih menjadi
PMI dikarenakan UMR tidak mereka
dapatkan bahkan dapat dikatakan jauh
di bawah rata-rata. Terdapat beberapa
informan
yang
profesi
sebelumnya
adalah nelayan dan buruh bangunan
memiliki
pendapatan
yang
tidak
menentu. Jika
cuaca
mendukung
mereka akan mendapatkan penghasilan
begitu
sebaliknya. Sama
dengan
informan yang sebagai buruh bangunan,
jika ada proyek pembangunan ya kerja
dan dapat penghasiln, jika tidak ada
proyek
maka
tidak
mendapatkan
apapun. Copyright© Creative Commons Attribution 4.0 International License Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia 2. Rekan Banyak dari para informan terdorong
untuk menjadi PMI dikarenakan ajakan
dari
teman. Para
informan
sudah
melihat kesuksesan para rekan yang ada
disana dari sudut pandang ekonomi
pribadi
maupun
ekonomi
keluarga. Bahkan ada yang berangkat menjadi
PMI benar-benar ajakan rekan untuk
bisa mencari pekerjaan disana. Hal ini di
sampaikan oleh salah satu pekerja
imigran yang berada di negara Taiwan. Mereka menyatakan jika akan lebih baik
bekerja di negeri orang daripada kerja di
negeri sendiri yang tidak ada apresiasi,
yang bersangkutan juga mengatakan
jika
dia
tidak
mungkin
berangkat
menjadi PMI jika tidak ada ajakan dari
rekannya tersebut. Selain itu ada PMI
yang sengaja menjadi PMI dikarenakan
melihat temannya sudah bekerja di luar
negeri dengan baik. 1. Keluarga atau Saudara
Dari
beberapa
informan
yang
menyatakan bahwa mereka menjadi PMI
karena dorongan dari keluarga yang
sebelumnya sudah menjadi PMI. Tidak
hanya itu ada PMI yang berasal dari
Trengggalek
dengan
profesi
perawat
mengungkapkan bahwa dia menjadi PMI
karena dituntun oleh keluarga besarnya 1. Keluarga atau Saudara
Dari
beberapa
informan
yang
menyatakan bahwa mereka menjadi PMI
karena dorongan dari keluarga yang
sebelumnya sudah menjadi PMI. Tidak
hanya itu ada PMI yang berasal dari
Trengggalek
dengan
profesi
perawat
mengungkapkan bahwa dia menjadi PMI
karena dituntun oleh keluarga besarnya 440 Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 Kondisi tidak menentu seperti
ini membuat banyak masyarakat dengan
profesi
tersebut
memilih
mencari
pendapatan di luar kota maupun luar
negeri agar pendapatan mereka lebih
stabil. Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia 5. Fasilitas hidup 5. Fasilitas hidup
Fasilitas atau lingkungan hidup menjadi
salah
satu
faktor
yang
membuat
masyarakat rela meninggalkan tanah
kelahirannya. Kebanyakan para PMI
berasal dari wilayah yang memiliki upah
minimum yang rendah, atau bahkan jika
mereka tinggal di wilayah perkotaan
yang upah minimumnya tinggi tapi 441
5. Fasilitas hidup
Fasilitas atau lingkungan hidup menjadi
salah
satu
faktor
yang
membuat
masyarakat rela meninggalkan tanah
kelahirannya. Kebanyakan para PMI
berasal dari wilayah yang memiliki upah
minimum yang rendah, atau bahkan jika
mereka tinggal di wilayah perkotaan
yang upah minimumnya tinggi tapi 441 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 teman lainnya yang saat itu telah lulus
dari bangku perkuliahan (D3). Jadi yang
memiliki pendidikan rendah rata-rata
hanya akan menjadi asisten rumah
tangga ataupun kuli bangunan. Dua
pekerjaan tersebut yang mendominasi
pekerjaan
para
PMI
dikarenakan
pendidikan mereka yang sangat rendah. Pendidikan rendah dikarenakan faktor
ekonomi
rendah
dan
keterbatasan
lembaga pendidikan yang ada di tempat
tinggalnya. mereka tinggal di wilayah perbatasan
atau wilayah paling ujung dari kota
tersebut. Terdapat salah satu wilayah
asal PMI yang menjadi informan sangat
terpencil, dimana wilayah tersebut tidak
memiliki
fasilitas
yang
memadai. Wilayah tersebut tidak memliki saluran
listrik negara (PLN), Air Bersih, bahkan
untuk
berbelanja
mereka
harus
menyebrang ke pulau lain yang memiliki
fasilitas umum lebih memadai. Saat ini
jaman teknologi, masyarakat di pulau
tersebut
tidak
dapat
menggunakan
telepon
seluler
untuk
komunikasi. Untuk berkomunikasi masyarakat harus
pergi ke pulau seberang yang memiliki
jangkauan sinyal. Pembahasan Dorongan untuk melakukan sesuatu juga
disebut dengan motivasi. Beberapa unsur
yang
mendorong
masyarakat
menjadi
pekerja imigran indonesia adalah ajakan
dari
keluarga,
rekan
atau
teman,
pendapatan rendah, peningkatan ekonomi,
fasilitas hidup dan pendidikan rendah. Beberapa
unsur
ini
yang
ditemukan
peneliti terhadap beberapa informan yang
berkenan diwawancarai. Beberapa unsur
tersebut
merupakan
dorongan
atau
motivasi
individu
untuk
memenuhi
beberapa
kebutuhan
dalam
kehidupan
pribadi maupun sosial dan setiap individu
ingin
memenuhi
kebutuhan-kebutuhan
dalam kehidupannya. py g
ram Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia py g
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia 6. Pendidikan rendah Standart pendidikan merupakan syarat
wajib bagi perusahaan atau sebuah
instansi
untuk
memperkerjakan
karyawannya. Karena dasar pendidikan
dapat
memudahkan
organisasi
atau
perusahaan menjalankan bisnisnya dan
mencapai
tujuan
dengan
mudah. Kebanyakan para PMI ber imigrasi ke
negara lain untuk mencari pekerjaan
dikarenakan pendidikan mereka hanya
sampai SD dan SMP. Sedangkan ada
beberapa yang sudah memiliki diploma 3
dengan profesi seperti perawat ataupun
Bidan. Terdapat beberapa informan yang
berasal dari kota trenggalek menjadi
perawat di jepang dengan beberapa 442
Pada
poin
sebelumnya
sudah
dijelaskan beberapa teori motivasi dari
berbagai pakar. Salah satunya adalah teori
hirarki kebutuhan dari Abraham Maslow 442 Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 ingin merubah kehidupannya agar
lebih
baik
dan
tidak
dipandang
sebelah
mata
oleh
lingkungannya
dengan cara menjadi pekerja imigran
indonesia. ingin merubah kehidupannya agar
lebih
baik
dan
tidak
dipandang
sebelah
mata
oleh
lingkungannya
dengan cara menjadi pekerja imigran
indonesia. ingin merubah kehidupannya agar
lebih
baik
dan
tidak
dipandang
sebelah
mata
oleh
lingkungannya
dengan cara menjadi pekerja imigran
indonesia. e. Kebutuhan
aktualisasi
diri
(self-
actualization need), Aktualisasi diri
merupakan hirarki kebutuhan dari
Maslow yang paling tinggi. Aktualisasi
diri
berkaitan
dengan
proses
pengembangan
potensi
yang
sesungguhnya dari seseorang. Para
PMI yang aktif maupun sudah non
aktif membutuhkan aktualisasi diri. Kebanyakan
mereka
yang
sudah
pernah
menjadi
PMI
akan
dapat
mengaktualisasikan diri terutama di
lingkungan
sekitarnya. Sebagai
contoh salah satu informan dari
wilayah pesisir utara yang pernah
menjadi buruh bangunan di negara
tetangga. Mereka mendapatkan ruang
di
lingkungan
sekitarnya
sebagai
pekerja bangunan bahkan hingga saat
ini
proyek
pembangunan
yang
dipercayakan masyarakat kepadanya
tidak
pernah
berhenti. Hal
ini
membuktikan
bahwa
masyarakat
sekitar
sangat
mempercayai
keahliannya
dalam
mendirikan
bangunan rumah atau yang lainnya. d. Kebutuhan
penghargaan
(Esteem-
need),
Kebutuhan
ini
meliputi
kebutuhan
keinginan
untuk
dihormati,
dihargai
atas
prestasi
seseorang,
pengakuan
atas
kemampuan dan keahlian seseorang
serta
efektifitas
kerja
seseorang. Setiap manusia ingin mendapatkan
penghargaan, tetapi banyak cara yang
harus dilakukan untuk memenuhi
kebutuhan
ini. Seperti
ungkapan
salah satu informan yang sudah
pernah
menjadi
PMI
di
negara
malaysia
sebagai
Asisten
rumah
tangga. Informan
tersebut
mengungkapkan
bahwa
sebelum
menjadi PMI yang bersangkutan tidak
pernah dihargai oleh lingkungannya
terutama keluarga besarnya. Namun
setelah beberapa tahun menjadi PMI
barulah lingkungan sekitar terutama
keluarga menghargai keberadaannya. Terutama saat ini setelah pulang
menjadi PMI informan tersebut dapat
membangun
rumah
dan
meningkatkan perekonomian keluarga
maka
pemenuhan
kebutuhan
penghargaan itu telah diperoleh. d. Kebutuhan
penghargaan
(Esteem-
need),
Kebutuhan
ini
meliputi
kebutuhan
keinginan
untuk
dihormati,
dihargai
atas
prestasi
seseorang,
pengakuan
atas
kemampuan dan keahlian seseorang
serta
efektifitas
kerja
seseorang. Setiap manusia ingin mendapatkan
penghargaan, tetapi banyak cara yang
harus dilakukan untuk memenuhi
kebutuhan
ini. Seperti
ungkapan
salah satu informan yang sudah
pernah
menjadi
PMI
di
negara
malaysia
sebagai
Asisten
rumah
tangga. Informan
tersebut
mengungkapkan
bahwa
sebelum
menjadi PMI yang bersangkutan tidak
pernah dihargai oleh lingkungannya
terutama keluarga besarnya. Namun
setelah beberapa tahun menjadi PMI
barulah lingkungan sekitar terutama
keluarga menghargai keberadaannya. Terutama saat ini setelah pulang
menjadi PMI informan tersebut dapat
membangun
rumah
dan
meningkatkan perekonomian keluarga
maka
pemenuhan
kebutuhan
penghargaan itu telah diperoleh. Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 menurut Sofyandi dan Garniwa (2007:102)
terdiri dari: di
hari
tua
nya,
dengan
cara
menabung dan mencari rejeki yang
banyak
di
negara
lain. Karena
menurut mereka pendapatan dari
negara lain lebih banyak daripada
hasil mereka bekerja di Indonesia. Saat para PMI berangkat ke negara
lain
pasti
menggunakan
proses
legalitas,
maka
dari
proses
legal
tersebut membuat keamanan mereka
dalam bekerja cukup terjamin. a. Kebutuhan Fisiologis (Physiological-
need),
Masyarakat
membutuhkan
kebutuhan dasar berupa kehidupan
yang layak. Kehidupan yang layak
dapat berasal dari berbagai unsur,
unsur
finansial
maupun
fasilitas
kehidupan. Dari hasil penelitian yang
sudah dilakukan kebanyakan para
Pekerja
imigran
Indonesia
tidak
mendapatkan pemenuhan kebutuhan
fisiologis yang baik di wilayahnya,
karena mereka rata-rata berasal dari
wilayah perbatasan atau terpencil
sehingga mereka memutuskan untuk
menjadi Imigran. Selain posisi wilayah
para imigran ini dominan memiliki
lapangan
pekerjaan
yang
sempit
dikarenakan tingkat pendidikan yang
rendah. Tingkat
pendidikan
yang
rendah
disebabkan
oleh
ketidakmampuan
mereka
secara
finansial. c. Kebutuhan sosial (social-need), para
pekerja
imigran
ini
sangat
membutuhkan
pemenuhan
kebutuhan
sosial. Di
Indonesia
sendiri
unsur
sosial
tidak
dapat
terelakkan
dari
unsur
finansial. Karena banyak dari masyarakat yang
memiliki
karakter
hanya
mau
bersosialisasi
dengan
masyarakat
yang memiliki strata ekonomi yang
sama, jadi mereka yang memiliki
ekonomi rendah banyak yang tidak
dapat bersosial dengan baik. Selain
itu
masyarakat
juga
terus
memandang rendah kepada orang
yang
memiliki
pendidikan
dan
ekonomi rendah. Sedangkan semnua
manusia
membutuhkan
persahabatan, afiliasi dana interaksi
yang lebih erat dengan orang lain. Maka, fenomena itulah yang membuat
banyak masyarakat yang memiliki
pendidikan dan ekonomi yang rendah b. Kebutuhan rasa aman (safety need),
Kebutuhan
akan
rasa
aman
ini
meliputi
keamanan
akan
perlindungan dari bahaya kecelakaan
kerja, jaminan akan kelangsungan
pekerjaannya dan jaminan akan hari
tuanya pada saat mereka tidak lagi
bekerja. Para PMI terdorong untuk
bekerja di luar negeri karena mereka
menginginkan kehidupan yang layak b. Kebutuhan rasa aman (safety need),
Kebutuhan
akan
rasa
aman
ini
meliputi
keamanan
akan
perlindungan dari bahaya kecelakaan
kerja, jaminan akan kelangsungan
pekerjaannya dan jaminan akan hari
tuanya pada saat mereka tidak lagi
bekerja. Para PMI terdorong untuk
bekerja di luar negeri karena mereka
menginginkan kehidupan yang layak 443 Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
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ram Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License IMPLIKASI PENELITIAN Penelitian ini memiliki implikasi penting
bagi masyarakat umum, pekerja imigran
Indonesia maupun untuk penelitian yang
akan datang. Masyarakat umum akan KESIMPULAN 444
Penelitian
ini
menghasilkan
beberapa
unsur yang mendorong masyarakat Jawa
Timur khususnya untuk menjadi pekerja
imigran
indonesia,
yakni
ajakan
dari
keluarga, rekan atau teman, pendapatan
rendah di Indonesia, peningkatan ekonomi, Copyright© Creative Commons Attribution 4.0 International License
Program Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia P-ISSN : 2354-8592
E-ISSN : 2621-5055 Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 mengetahui hal apa saja yang mungkin
terjadi saat menjadi pekerja imigran, dan
bagaimana cara para imigran itu untuk
bertahan
hidup
dinegara
lain
demi
meningkatkan
taraf
ekonomi
keluarga. Pekerja
imigran
dapat
memenuhi
kebutuhan-kebutuhan
dalam
hidupnya
dengan menjadi pekerja imigran indonesia,
sedangkan
peneliti
selanjutnya
dapat
menggali lebih dalam unsur lain yang
mendorong para pekerja imigran untuk
bekerja di luar negeri. fasilitas hidup dan pendidikan rendah. Beberapa
unsur
ini
yang
ditemukan
peneliti terhadap beberapa informan yang
berkenan diwawancarai beberapa waktu
yang
lalu. Beberapa
unsur
tersebut
merupakan
dorongan
atau
motivasi
individu
untuk
memenuhi
beberapa
kebutuhan
dalam
kehidupan
pribadi
maupun sosial. Beberapa kebutuhan yang
didapatkan
dan
dipenuhi
oleh
para
informan dengan cara menjadi pekerja
imigran
indonesia
adalah
Kebutuhan
Fisiologis, rasa aman, sosial, penghargaan,
dan aktualisasi diri. Hal ini sesuai dengan
teori
dari
Abraham
Maslow
tentang
beberapa kebutuhan manusia. ACKNOWLEDGEMENT Penulis mengucapkan terima kasih yang
sebesar-besarnya kepada pihak-pihak yang
telah
membantu
dalam
penyelesaian
penelitian ini. Terima kasih sebanyaknya
kepada para informan yang berkenan
memberikan waktu dan infromasi seputar
kehidupannya menjadi PMI dan perubahan
setelah menjadi PMI. DAFTAR PUSTAKA Abdurrahman Fathoni. 2006. Manajemen Sumber Daya Manuisa. Jakarta: Ri Fahmi, Irham. 2018. Perilaku Organisasi. Bandung: Alfabeta. Fatchan, Ahmad. 2011. Metode Penelitian Kualitatif Beserta Contoh Proposal, Tesis Dan
Disertasi. Surabaya. Jenggala Pustaka Utama. Fatchan, Ahmad. 2011. Metode Penelitian Kualitatif Beserta Contoh Proposal, Tesis Dan
Disertasi. Surabaya. Jenggala Pustaka Utama. Handoko, T. Hani. 2014. Manajemen Personalia dan Sumber Daya Manusia. Yogyakarta:
BPFE. https://www.bp2mi.go.id/ diakses tanggal 3 januari 2023 https://www.bp2mi.go.id/ diakses tanggal 3 januari 2023 https://www.bps.go.id/indicator/6/1953/1/jumlah-dan-persentase-penduduk-bekerja-dan-
pengangguran.html diakses tanggal 3 januari 2023 445 Copyright© Creative Commons Attribution 4.0 International License py g
m Studi Manajemen Universitas Muhammadiyah Gresik Jawa Timur Indonesia Copyright© Creative Commons Attribution 4.0 International License Jurnal Manajerial, Volume 10 Nomor 03 Tahun 2023
http://dx.doi.org/10.30587/manajerial.v10i03.5968 P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 P-ISSN : 2354-8592
E-ISSN : 2621-5055 Husniawati. 2017. Analisis Faktor-Faktor Yang Mempengaruhi Motivasi Tenaga Kerja
Indonesia Untuk Bekerja Ke Luar Negeri (Studi Pada Calon Tenaga Kerja Indonesia Di
Kabupaten Lombok Timur, Ntb). Jurnal PendidikanEkonomi Undiksha. Volume 9 nomor 2 Jackson, Robert L Mathis & John H. 2002. Manajemen Sumber Daya Manusia. Jakarta:
Salemba Empat. Kreitner, Kinicki. 2010. Organizational Behavior. New York: McGraw-Hill Misbach, M, L. 2006. Pengaruh Faktor Sosial Ekonomi Dan Motivasi Kerja Serta
Kesejahteraan Keluarga Tenaga Kerja Indonesia Terhadap Minat Kembali Ke Luar Negeri. Surabaya: Universitas Airlangga. Moleong, Lexy J. 2013. Metode Penelitian Kualitatif. Edisi Revisi. Bandung : PT. Remaja
Rosdakarya. Muchdarsyah Sinungan. 2008. Produktivitas Apa dan Bagaimana. Edisi Kedua. Jakarta:
Bumi Aksara. Nawawi, Hadari. 2006. Evaluasi dan manajemen kinerja di lingkungan perusahaan dan
industri. Yogyakarta: Gadjah Mada Univercity Press. Nurtjahjanti., Endah, H., & Suparno. 2017. Persepsi Tenaga Kerja Indonesia Terhadap Pilihan
Kerja Di Luar Negeri Studi Diskriptif Calon Tenaga Kerja Indonesia Di Blkln Propinsi
Jawa Tengah. Semarang: Fakultas Psikologi Universitas Diponegoro. Raharjo, Susilo & Gunanto, 2013, Pemahaman Individu Teknik Nontes, Jakarta: Kencana
Prenada Media. Rizqi, Maulidyah Amalina. 2018. Motivasi Masyarakat Indonesia Menjadi Tenaga Kerja
Indonesia (Studi Kasus Pada Masyarakat Kecamatan Panceng Kabupaten Gresik). Jurnal
Manajerial. Volume 5 Nomor 2. Robbins SP, dan Judge. 2011. Perilaku Organisasi, Salemba Empat, Jakarta Sekarimah, Iis. 2017. Motivasi kerja menjadi Tenaga Kerja Indonesia (TKI) oleh masyarakat di
Kecamatan Maliku Kabupaten Pulang Pisau. Undergraduate thesis, IAIN Palangka Raya. Stephen, Robbins. 2015, Perilaku Organisasi, Jakarta: Penerbit Salemba Empat. Sugiyono. 2008. Methode Penelitian Kuantitatif, Kualitatif, R dan D. Bandung: Alfabeta. Yuliarti, Y., & Intan, D, R. 2016. Migrasi Internasional Dan Dampak Sosial Ekonomi Bagi
Keluarga Migran Di Desa Serah, Kabupaten Gresik, Jawa Timur. Malang: Fakultas
Pertanian Universitas Brawijaya Malang. 446
|
https://openalex.org/W2106334845
|
https://zenodo.org/records/2205582/files/article.pdf
|
French
| null |
Observations de planètes
|
Astronomische Nachrichten
| 1,906
|
public-domain
| 2,257
|
85 85 4134 86 906.2 5 I
.260
.260
.266
.271
. 2 7 I
.27 I
*274
.288
.288
.332
*332
.345
*345
,345
a356
.356
.378
*378
a318
-378
.378
.383
.383
-383
.383
.383
a383
.383
.383
.386
.386
.388
.388
.388
.388
.388
a391
.391
.391
.397
.397
,397
-397
.391
-397
*397
.499
I35?0
133.3
134.3
I3 5.1
133.7
'33.0
133.2
133.4
134.3
133.4
135.3
134.4
132.2
132.7
134.8
134.6
134.7
134.4
134.4
134.5
134.1
134.1
134.0
134.7
134.5
134.5
134.5
134.8
'34.4
135.4
133.7. 134.6
134.7
134.9
135.4
136.1
135.1
135.0
134.4
'3 5.4
134.5
136.1
'34.2
'35.5
135.5
I 3 5.5
134.9
134.5
2!'67
13ho
2.68
12.1
2.63
11.0
2.52
7.1
2.61
7.5
2.64
11.5
2.65
8.8
2.68
12.3
2.51
12.8
2.58
15.0
2.51
15.5
2.65
10.2
2.84
10.6
2.79
15.1
2.57
14.0
2.58
14.8
2.66
14.8
2.67
15.2
2.66
16.5
2.70
16.8
17.5
2.62
14.4
2.68
14.7
2.58
15.2
2.70
15.6
2.83
15.8
2.64
16.1
2.69
16.2
2.61
13.8
2.68
14.6
2.53
14.0
11.2
-
-
2.78
14.9
2.64
15.4
2.73
15.7
2.75
'5.9
2.67
16.1
13.1
2.56
14.1
2.62
14.6
2.55
15.6
2.67
16.1
2.55
17.2
2.59
17.4
2.67
17.6
2.57
17.8
-
17.8
-
2.60
15.9
+ 107
0.0
+ 1.0
4 1.8
+0.4
-0.3
-0.1
+O.I
-I- 1.1
f 0 . 2
+ 2 . 1
f I . 2
- 0.9
- 0.4
+1.7
+ 1.5
+ 1.6
+ 1.3
+ 1.3
+ 1.4
+ 1.0
+ 1.0
+ 1.0
+1.7
+ 1.5
+1.5
+ 1.5
+ 1.8
+ 1.4
+2.4
+O.f
+1.6
i-
1.7
+ 1.9
+ 2.4
43.1
+2.1
+ 2.0
+ 1.4
+ 2.4
+ 1.5
+3.1
+2.5
+ 2.5
t 2 . 5
+ 1.9
+1.7
+ 1.2
-
0!08
-
0.0 7
-0.24
-0.14
-
-0.12
-0.11
- 0.10
- 0.07
-0.24
-0.17
-0.24
-0.09
+ 0.08
+ 0.03
-0.19
-
0.1 8
- 0.09
-0.06
-0.14
-0.08
+0.02
-0.18
-0.06
+0.07
-0.07
-0.15
-0.08
-0.23
- 0.03
- 0.09
-0.10
-0.10
-
-0.12
-0.12
-
0.0 I
-
- 0 . 2 0
-0.14
-0.16
- 0.09
-0.17
- 0.09
-0.19
-
0.2 I
-0.21
-
Kopenhagen, Urania-Sternwarte, 1906 September. 85 Die graphische Ausgleichung der nach Stundenwinkel (6)
geordneten Messungen gibt folgende Normalabweichungen : 8
-4
-3
- 5h
-2
- 1
0
+ I
+ 2
+3
+4
+5
-1-6
+ I
Ausgleichung
-0?5
-0!'06
-0.4
-0.06
-0.3
-0.06
-0.2
-0.06
+o.o -0.06
+0.3
-0.07
+0.7
-0.11
+r.z
-0.12
-1-1.5 -0.13
+1.6
-0.14
+1.7
-0.13
c i . 8 -0.13
+1.8 -0.13
Rechnung
-0004
-or06
-0.4 -0.06
-0.4
-0.06
-0.3
-0.06
+o.o
-0.07
+0.6
-0.09
+I.3
-0.11
+1.5
-0.12
+1.6
-0.13
+1.6
-0.13
+1.6
-0.13
+1.6
-0.13
+1.6
-0.13
p aPP. I 7502
175.6
173.3
166.7
153.6
134.0
114.4
ro1.3
94.1
92.4
92.8
9 5.2
99.0 Die Gesetze der Abweichungen lassen sich mittels der
Werte der scheinbaren Positionswinkel P leicht erkennen. Ftir beide Koordinaten finden wir Co + C,. cos 2 P. Die
numerischen Werte der Koeffizienten sind : Distanz
Co = -0ol09
C, = +0!'036
Positionswinkel
Co = +0?58
C, = - 1P04 Distanz
Co = -0ol09
C, = +0!'036
Positionswinkel
Co = +0?58
C, = - 1P04 Nach Abzug der systematischen Korrektionen bleiben
in Positionswinkel die folgenden Fehler tibrig : Beob. Beob. 1905.36
4 0 0 1
7
1906.37
-005
7
1905.96
-0.1
4
1906.38
-0.2
10
1906.16
- 0 . 2
8
1906.39
t-0.4
8
1906.27
3-0.5
5
1906.40
+0.3
1
1906.33
-0.2
I
1906.50
-0.0
4 Der wahrsch. Fehler einer Messung wird ds = folo53
dp = &0?43, also sdp = folo2o. Die Frage, ob der
Campbellsche dunkle Begleiter von & Ursae majoris merkbare
Stdrungen hervorruft, wird also am besten durch Messungen
der Positionswinkel gelost werden. Meine bisherigen Messun-
gen erfordern nicht die Annahme der Ndrlundschen Storung,
widerlegen sie aber auch nicht, da eine Trennung der syste-
matischen Fehler von der mutmafilichen Storung Beobach-
tungen iiber mehrere Perioden erfordern wtirde. H E. Lau. faites A l'observatoire d'Uccle pa r Dr. U; Philippat, astronome-adjoint. faites A l'observatoire d'Uccle pa r Dr. U; Philippat, astronome-adjoint faites A l'observatoire d'Uccle pa r Dr. U; Philippat, as cune des planhtes. Les passages ont C t t observCs A 9 fils
par la methode de l'ceil et de l'oreille jusqu'au ier octobre
1905 et A 17 fils au chronographe de Dent, dont la trans-
formation a CtC terminte A cette epoque. Si possible, les Ces observations ont CtC faites au cercle mtridien de
Repsold (ouverture I 6 cm, foyer I .90 rn, grossissement 80). Les corrections instrumentales ont Ctt? dCterminCes au moyen
d'ttoiles fondamentales aussi voisines que possible de cha- cune des planhtes. Les passages ont C t t observCs A 9 fils
par la methode de l'ceil et de l'oreille jusqu'au ier octobre
1905 et A 17 fils au chronographe de Dent, dont la trans-
formation a CtC terminte A cette epoque. Si possible, les 6' 88 87 4134 deux bords ont CtC observCs. Les dCclinaisons ont t t t obtenues par un point6 au centre du champ pendant qu'un aide
lisait les quatre microscopes. 11 servCs. Les dCclinaisons ont t t t obtenues par un point6 au centre du champ pendan
copes. 11 deux bords ont CtC observCs. Les dCclinaisons ont t t t obtenues par un point6 au centre du champ pendant qu'un aide
lisait les quatre microscopes. 11 1 2
23
10
11
12
13
151
25
171
29
2
3h49m44:75 j +of34
4 57 24.87
+0.02
12 17 11.06
+0.26
1 2 23 16.63
+0.12
12 29 25.87
+0.27
1 2 35 37.40
+0.23
18 10 28.55
+0.45
18 50 21.86
+0.44
2
3
4.56
+ O . I ~
2 54 0.69
+0.24
I 3 2 7
1.70
+0.30
+0?40
+0.09
+0.32
t o . 1 7
+0.32
f 0 . 2 8
+0.48
+0.42
+0.25
-1-0.29
t o . 3 6
re microscopes. +16"57' 15!'2
+1!'9
+1!'6
+ 2 1 30 41.8
+3.4
+3.4
+ o 16 35.9
3-0.4
+0.4
- o 23 52.9
+0.5
+0.3
- I
5 21.0
+1.3
+ I . I
- I 47 40.3
-1.8
-1.8
-
-
-
-
-
-
+ 8 55 18.6
+0.3
+0.2
+13 36 43.2
-2.6
-2.7
1-15 43
3.8 1 -0.6
-0.7
B0 minus
8 (C. T.) I 8(N. A.)
uo minus
'u(C.T.) I u(N.A.)
Date
11
uo
Merc ur e. +O.OI
-0.04
-0.01
1904 Juin
Oct. >
P
0
1905 Janv. >
Mai
Juin
I)
-0.24
-0.19
-0.21
+o.o7
+0.29
+O.IO
+0.20
+0.09
+ o . faites A l'observatoire d'Uccle pa r Dr. U; Philippat, as I ~
+0.30 I --0.05
1904 Janv. 25
FCvr. 3
>
17
Nov. 23
Dtc. 19
D
2 0
2 1
23
1905 Janv. 13
>
I4
Mai 11
*
1 7
)>
29
Juin
2
Juill. 26
AoQt 23
Sept. 2 2
+ 9 1 7 12.4
+ 7 18 41.7
+18 53 16.5
+ 6 44 19.4
1905 Mai 29
Juin 19
I
P
2 1
-0.43
-0.29
-0.26
-0.52
-0.45
1904 Sept. 2 7
Nov. 29
1905 Janv. 13
DCc. 18
-0.12
-17 29 19.1
+O.OI
- 1 7
39 17.9
-0.01
-14
8 57.5
-0.01
-17 38 36.4
-0.07
-13
48
7.1
1904 Sept. 21
Oct. I 0
I4
1905 Sept. 15
Oct. 4
17 39 14.12
18 25 58.72
19 39
2.02
18 26 22.82
2 0 41 50.09
2 0 51 38.27
2 1
I 19.92
2 2 36 36.05
2 2 40 51.22
1 45 48.1 I
2 0 46 45.01
1 44 59.80
I 56 13.90
2
3 46.81
5 14. 0.47
7 26 48.90
9 51 45.32
I 4 31 45.80
I4 2 1 52.39
14 2 2 10.12
1 46
5.77
I 18 36.58
I 2 1 52.52
3 45 '3.76
2 1 11
9.79
2 1 8 55.85
2 1 8 45.19
2 2
2 24.30
21 58 22.80
V
-0.07
-0.05
-0.15
+0.16
+0.03
- 0.09
+0.06
t o . 1 6
+0.06
+0.05
+0.08
+0.46
+0.3 I
- 0 . 2 2
+ O . I I
-0.11
l U S . -
0.0 I
- 0.04
-0.18
+0.23
+0.05
- 0.05
+0.13
t o . 0 5
- 0.03
+0.02
f-0.02
+o.ao
-0.10
3-0.20
-0.01
+0.60
+0.41
- 2 1
31 32.7
- 2 2
2 27.8
- 2 0
59 23.5
-25
I 0 2.1
-20
23 54.2
- 2 0
4 22.2
-19
44 12.5
-10
4 21.1
- 9 35 21.5
+13
2 2 47.6
+ I I 32 31.0
+IO 28 28.1
+lo 37 28.4
+zo 17
9.8
+ 2 0 49 19.6
+ I 3 35 44.4
-19
2 30.9
- 1 5
49 22.5
-15
46 51.3
-15
5 1 35.3
-
2.0
-
3.6
- 1.6
+I.7
- 2.6
- 4.5
- 0.9
-4.5
-0.5
- 0.4
- 4.6
-
5.2
-4.2
+0.8
+ 0.3
+ 1.7
-2.1
- 3.8
-
1.1
f I . La planhte &it plutBt devinee que vue. La planhte &it plutBt devinee que vue. faites A l'observatoire d'Uccle pa r Dr. U; Philippat, as 0
-
0.3
+0.5
+ 1.0
- 2.6
-
1.1
+0.6
-3.6
-4.5
-
4.0
-
1.0
-2.5
- 0.8
f 2 . 2
- 2.8
-
4.9
- 1.3
-4.9
- 1.5
- 1.5
- 0.6
- 1.7
-0.9
+0.8
+I.I
- I. I
+0.3
- 1.4
+0.6
+ 2.6
- 1.3
- 0.8
-3.1
+O.I
-0.1
+ 1.5
- 2.9
- 1.9
-0.2
planhte &it plutBt devinee que vue. 4134 Date
Bo minus
8 (C. T.)
1 8 (N. A.)
a. minus
u (C. T.)
1 u (N. A.)
~
a0
1904 Juill. 7
a
8
>
1 1
AoQt 3
5
1905 Janv. 26
6 2 5 57.72
FCvr. 3 11
6 2 5 11.85
2
1 7
6 24
7.36
17~47~56167
I 7 47 46-16
17 47 17.63
1 7 44
9.20'
'7 43 56.34
1904 Juill. 16 30 39-31
16 29 39.99
B
11
16 28 46.69
-23°31'31!'o
-23
37 27.5
-23
37 20.3
-23
36 22.0
-23
36 18.0
o!'o
+I.O
+0.6
-0.3
-0.9
-0J22
-0.23
-0.19
-0.38
-0.16
+oJ13
+0.12
+0.13
-0.06
+0.08
+ 2 2
17 43.7
+ 2 2 18 26.3
+ 2 2
19 33.8
- 0 Y I
+0.9
+0.5
- 0.4
- 1.0
-2.1
-2.3
-2.8
+o. I
-0.2
-0.6
-0.53
-0.36
-0.26
- 1.9
-
I 1.8
-13.1
-0.10
+0.06
+o.17
(3) Junon. 1904 Sept. 7
11 2 0 32 10.91 I -
1 -0.60
11 - 8 48 43.5 I - I -1.9
(4) Vesta. - 2.4
- 2 2
5 31.4
- 2 2
10 1.6
- 2 2
I 4 27.4
-
-
- Osservazioni di pianeti Osservazioni di pianeti
fatte con 1' equatoriale Dembowski (187 mm) d i Padova. 1906 1T.m.Padoval
da
I
dd
1 Cf. i0ss.l
a app. 1logp.d 1
6 app. 1ogp.d I Red. ad 1. app. *
(68) Leto. -
Gen. 1 7
2 0
2 0
23
23
25
26
28
29
31
Febb. I
I 0
I 1
+0%2 - 91'6
+0.86 - 9.4
+0.86 - 9.4
+0.90 - 9.2
+0.90 - 9.2
+0.92 - 9.1
+0.92 - 9.0
+0.96 - 8.7
+o.97 - 8.8
+0.98 - 8.4
+ I . O I - 7.8
i-0.95 - 8.8
+I.OI
- 7.9
Gen. 24
24
28
Febb. faites A l'observatoire d'Uccle pa r Dr. U; Philippat, as I 7
1 7
18
I
2
2
3
3
4
5
6
7
7
8
6
8
1 0 h 2 2 m 9"
1 0 34 3
1 0 59 36
1 0 7
9
10 32 11
1 0 3 54
1 0 49 50
10 2 8 24
9 25
7
9 26 39
8 40 42
8 3' 44
7 58 56
8 55 12.08
9.325,
+17
56
9.6
8 55 11.28
9.228,
t 1 7 56 19.2
8 51 15.64
8.945, +18
2 0 38.9
8 32 15.69
9.068,
+ 2 0
11 43.8
8 32 15.45
9.068,
+ 2 0
11 47.5
8 31 23.56
7.050, + 2 0
16 41.1
+ 4" 2 oS63
- 0
23.31
-0
24.31
-0
12.00
-0 13.13
-2
59.21
-I
38.96
-1
47.44
-2
44.69
-I
6.58
+ I 11.31
+o 23.08
-0
1 0 . 1 2
0.630
+0.83 - 9.2
0.619
+0.83 - 9.3
0.603
+0.88 - 9.4
0.579 +0.97 - 9.1
0.579
+0.97 - 9.1
0.568
+0.96 - 9.0
-0' 581%
-3
58.3
-3
56.4
+ 2
24.1
+ 2
28.4
- 2
35.2
-0 18.5
- 4
38.6
-2
14.3
-0
4.0
+ I 57.1
-1
15.1
-0 41.2
10 42 2 5
11 14 29
9 42 52
9 42 52
10 39 13
I 1 35 19
-0 22.51 -0 32.7
-2
41.88
-0 17.8
-0 58.76 - 7
16.8
-2
4.18 +5
20.2
-0 46.63 -3
38.9
-2
17.94 4-0 18.0
A
A
F
A
F
F
F
F
F
F
F
F
F
A
A
A
A
A
A
8h26m 8S10
8 23
5.34
8 23
4.34
8 2 0 2.56
8 2 0
1.43
8 18 0.60
8 16 57.44
8 I4 57.65
8 14
0.41
8 11
5.48
8
2 57.00
8
2
8.77
8 I 2
1.93
0.437
0.402
0.3 15
0.412
0.382
0.400
0.349
0.42 I
0.406
0.460
0.407
0.446
0.3 5 6
9
10
11
12
'3
14 fatte con 1' equatoriale Dembowski (187 mm) d i Padova.
|
https://openalex.org/W2778736050
|
https://europepmc.org/articles/pmc5773297?pdf=render
|
English
| null |
Moose selecting for specific nutritional composition of birch places limits on food acceptability
|
Ecology and evolution
| 2,017
|
cc-by
| 11,149
|
Hilde K. Wam1
| Annika M. Felton2 | Caroline Stolter3 | Line Nybakken4 |
Olav Hjeljord4 Hilde K. Wam1
| Annika M. Felton2 | Caroline Stolter3 | Line Nybakken4 |
Olav Hjeljord4 1Division of Forestry and Forest Resources,
NIBIO, Ås, Norway
2Faculty of Forest Sciences, Swedish
University of Agricultural Science, Alnarp,
Sweden
3Department of Animal Ecology and
Concervation, University of Hamburg,
Hamburg, Germany
4Faculty of Environmental Sciences and
Natural Resource Management, Norwegian
University of Life Sciences, Ås, Norway
Correspondence
Hilde K. Wam, NIBIO, Ås, Norway. Email: hilde.wam@nibio.no
Funding information
Research was partly funded by the Research
Council of Norway, project #215647/E40
(Intensified harvesting of forests—implications
for enterprises related to wild and domestic
ungulates) 1Division of Forestry and Forest Resources,
NIBIO, Ås, Norway
2Faculty of Forest Sciences, Swedish
University of Agricultural Science, Alnarp,
Sweden
3Department of Animal Ecology and
Concervation, University of Hamburg,
Hamburg, Germany
4Faculty of Environmental Sciences and
Natural Resource Management, Norwegian
University of Life Sciences, Ås, Norway
Correspondence
Hilde K. Wam, NIBIO, Ås, Norway. Email: hilde.wam@nibio.no
Funding information
Research was partly funded by the Research
Council of Norway, project #215647/E40
(Intensified harvesting of forests—implications
for enterprises related to wild and domestic
ungulates) Abstract
Despite decades of intense research, it remains largely unsolved which nutritional fac-
tors underpin food selection by large herbivores in the wild. We measured nutritional
composition of birch foliage (Betula pubescens) available to, and used by, moose (Alces
alces) in natural settings in two neighboring regions with contrasting animal body mass. This readily available food source is a staple food item in the diet of moose in the high-
fitness region, but apparently underutilized by moose in the low-fitness region. Available birch foliage in the two regions had similar concentrations of macronutrients
(crude protein [CP], fiber fractions, and water-soluble carbohydrates [WSC]), although
a notably lower variation of WSC in the low-fitness region. For minerals, there were
several area differences: available birch foliage in the low-fitness region had less Mg
(depending on year) and P, but more Ca, Zn, Cu, and Mn. It also had higher concentra-
tions of some plant secondary metabolites: chlorogenic acids, quercetins, and espe-
cially MeOH-soluble condensed tannins. Despite the area differences in available
foliage, we found the same nutritional composition of birch foliage used in the two
regions. Hilde K. Wam1
| Annika M. Felton2 | Caroline Stolter3 | Line Nybakken4 |
Olav Hjeljord4 Compared to available birch foliage, moose consistently used birch foliage
with more CP, more structural fiber (mainly hemicellulose), less WSC, higher concen-
trations of several minerals (Ca, Zn, K, Mn, Cu), and lower concentrations of some
secondary metabolites (most importantly, MeOH-soluble condensed tannins). Our
study conceptually supports the nutrient-balancing hypothesis for a large herbivore:
within a given temporal frame, moose select for plant material that matches a specific
nutritional composition. As our data illustrate, different moose populations may select
for the same composition even when the nutritional composition available in a given
food source varies between their living areas. Such fastidiousness limits the propor-
tion of available food that is acceptable to the animal and has bearings on our under-
standing and application of the concept of carrying capacity. Ecology and Evolution. 2018;8:1117–1130.
| 1117
www.ecolevol.org
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.
© 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. 7 | Revised: 26 October 2017 | Accepted: 15 November 2017 7 | Revised: 26 October 2017 | Accepted: 15 November 2017 Received: 21 April 2017 | Revised: 26 October 2017 | Accepted: 15 November 2017
DOI: 10.1002/ece3.3715 Moose selecting for specific nutritional composition of birch
places limits on food acceptability Hilde K. Wam1
| Annika M. Felton2 | Caroline Stolter3 | Line Nybakken4 |
Olav Hjeljord4 1118 |
1 | INTRODUCTION 1118 WAM et al. WAM et al. FIGURE 1 Adult moose (Alces alces) feeding on birches (Betula
spp.) in early summer, southern Norway. Photo: Hallgeir B. Skjelstad Foraging decisions are complex trade-offs, particularly for wide-
roaming and long-living species like large herbivores (Parker, Barboza,
& Gillingham, 2009). A fitting quote is that these animals use “most
of the best and least of the worst but some of everything” (Langvatn
& Hanley, 1993, p. 168). Accumulated knowledge from the field of
nutritional ecology shows with increasingly detail how animal metab-
olism and food selection comprise sets of synergetic or antagonistic
assimilation and allocation pathways of food constituents (e.g., Boggs,
2009; Felton, Felton, Lindenmayer, & Foley, 2009; Felton et al., 2016;
Raubenheimer, Simpson, & Mayntz, 2009; Sperfeld, Martin-Creuzburg,
& Wacker, 2012). So far, integrated study approaches which con-
sider nutritional components in synchrony are comparatively rare for
large herbivores in natural settings (e.g., Beck & Peek, 2005; Shipley,
Blomquist, & Danell, 1998; Tixier et al., 1997; Vangilder, Torgerson, &
Porath, 1982). FIGURE 1 Adult moose (Alces alces) feeding on birches (Betula
spp.) in early summer, southern Norway. Photo: Hallgeir B. Skjelstad typically inferred at the level of food availability (e.g., Herfindal et al.,
2013; Wam, Hjeljord, & Solberg, 2010). To better elucidate the po-
tentially masked and masking factors in food–fitness relationships,
researchers need to address its finer print, that is, the nutritional un-
derpinnings driving the animals’ food choices (Parker et al., 2009). Behind all animals’ food selection lies the need to assimilate ad-
equate quantities of energy and various nutrients from the environ-
ment. The challenge is that these components are only available in
sets embedded in a food item (as “food packages”), while each com-
ponent has its own functional implications for the animal. Some com-
ponents are necessary for maintaining life, while others are dangerous
and should be avoided (like toxins used by plants to defer herbivory,
Freeland & Janzen, 1974). However, some necessary nutrients can be
harmful if ingested in excessive amounts, and some toxins are ben-
eficial to the consumer in low quantities (Raubenheimer & Simpson,
2009). To complicate matters further, food components have interac-
tive effects (Björndal, 1991). For example, if the food contains high
levels of carbohydrates relative to protein, then the animal’s ability to
avoid a carbohydrate overdose depends on its capacity to endure a
protein shortage. 1118 |
1 | INTRODUCTION Likewise, high fiber intake may inhibit mineral ab-
sorption (Freeland-Graves, Sanjeevi, & Lee, 2015), while the intake of
several macronutrients can influence the effects of toxins (Simpson &
Raubenheimer, 2012). Keeping these multiple nutritional factors and complexities in
mind, in this study, we measured nutritional composition of foliage
from a staple food source (Betula pubescens Ehr.) available to, and
used by, moose (Alces alces) (Figure 1) in natural settings of two neigh-
boring regions of southern Norway with contrasting animal fitness
(here, indexed by body mass, which is found to capture much of the
fitness variance among Fennoscandian moose populations, Tiilikainen,
Solberg, Nygrén, & Pusenius, 2012). Long-term research focus has
not managed to fully explain the contrasts between the populations’
food selection and demographic performance (Hagen, 1983; Hjeljord
& Histøl, 1999; Wam, Histøl, Nybakken, Solberg, & Hjeljord, 2016). Although moose in both regions have access to birch in excess per
capita (Wam et al., 2010), the low-fitness population utilizes it to a no-
ticeably lower extent than does the high-fitness population (Figure 2). The study was initiated to explore whether the nutritional composition
of the birch foliage could explain this apparent underutilization. We
tested whether contents of food constituents (crude protein [CP], fiber
fractions, water-soluble carbohydrates [WSC], minerals, and plant sec-
ondary metabolites [PSM]) differed between areas, and between used
and available foliage. We then used principal component analyses
(PCA) to place the differences in a multidimensional framework, con-
sidering constituents in synchrony. Achieving nutritional homeostasis, therefore, involves a complex
interplay between variable foods, and multiple and changing needs
as the animal goes through different life stages and seasons. While
evolution has equipped animals with mechanisms to deal with these
complexities (Behmer, 2009), nutritional ecologists are still puzzled to
understand them. One major explanation is that the nutritional value
and selection of a given food item may show extensive spatiotemporal
variation (Morgantini & Hudson, 1989). Designing studies that grasp
most of the variance of interest can therefore be difficult without
extensive prior knowledge of the study system. For example, Jones,
Strickland, et al. (2010) found that the availability of various soil re-
sources providing different nutritional planes for deer can explain as
much as 78% of the variation in their body mass. McArt et al. Abstract carrying capacity, fitness, mineral, nitrogen, preference, ungulate | 1117
www.ecolevol.org 1118 |
1 | INTRODUCTION (2009)
measured protein availability in major browse species for moose and
found that the within-species variation between two areas was so
large that a similar diet and food intake would yield a substantially
different protein balance for the moose. These relationships inferred
at the level of nutrient availability appear much stronger than those 2.1 | Study area The two sample areas used for foliage analyses in this study are situ-
ated 100 km apart in southeastern Norway (SandeW at 59°42′N,
10°7′E in the low-fitness region and Rakkestad at 59°30′N, 11°22′E
in the high-fitness region). A fjord and densely populated areas practi-
cally eliminate exchanges of moose between the low- and high-fitness | 1119
WAM et al. FIGURE 2 Contrasting moose fitness and utilization of a readily available food source (Betula pubescens Ehr.) in five study areas within
two regions of southern Norway (modified from Wam et al., 2010, 2016). Birch density was high in all areas (2,470 ± 252 birches available/
ha in the low-fitness region, and 4,659 ± 311 in the high-fitness region, and <20% of available birches were browsed in both regions). Birch in
the diet was estimated from counting browse marks on woody plant species along line transects and corrected for nonwoody diet contents as
found by fecal analyses (see Wam & Hjeljord, 2010a). In this paper, one sample area in each region was used to collect and analyze nutritional
composition of available and used birch foliage, with the aim to explore why moose in the low-fitness region does not utilize the readily available
birch to a larger extent. Presumably, birch could be a remedy if food shortage is their culprit for higher fitness
sample area
SandeW
sample area
Rakkestad
R² = .5984
R² = .0236
40
45
50
55
60
65
70
75
80
0
10
20
30
40
50
60
70
80
90
Calf body mass (dressed kg)
Birch in summer diet (% of all browsed trees)
Low-fitness
region
High-fitness
region | 1119
sample area
SandeW
sample area
Rakkestad
R² = .5984
R² = .0236
40
45
50
55
60
65
70
75
80
0
10
20
30
40
50
60
70
80
90
Calf body mass (dressed kg)
Birch in summer diet (% of all browsed trees) WAM et al. 1119 Low-fitness
region
High-fitness
region Birch in summer diet (% of all browsed trees) FIGURE 2 Contrasting moose fitness and utilization of a readily available food source (Betula pubescens Ehr.) in five study areas within
two regions of southern Norway (modified from Wam et al., 2010, 2016). 2.1 | Study area Birch density was high in all areas (2,470 ± 252 birches available/
ha in the low-fitness region, and 4,659 ± 311 in the high-fitness region, and <20% of available birches were browsed in both regions). Birch in
the diet was estimated from counting browse marks on woody plant species along line transects and corrected for nonwoody diet contents as
found by fecal analyses (see Wam & Hjeljord, 2010a). In this paper, one sample area in each region was used to collect and analyze nutritional
composition of available and used birch foliage, with the aim to explore why moose in the low-fitness region does not utilize the readily available
birch to a larger extent. Presumably, birch could be a remedy if food shortage is their culprit for higher fitness The climate in the study area is continental with cold winters
(February norm −4.5°C in SandeW and −5.6°C in Rakkestad) and warm
summers (June norm 14.9°C in SandeW and 13.7°C in Rakkestad)
(Norwegian Meteorological Institute, 2013). Start of growing sea-
son (first day of the year with mean temperature >5°C) is 2 May in
SandeW and 25 April in Rakkestad. Normal precipitation during June
is 59 mm (SandeW) and 65 mm (Rakkestad). Norms are based on the
years 1961–1990. regions to which the sample areas belong (Figure 2). Both regions
are part of the boreal forest zone (Moen, 1999), dominated by com-
mercially cultivated Norway spruce (Picea abies), with some Scots
pine (Pinus sylvestris) on drier sites of poor soil fertility. Younger for-
est stages are dominated by birch (Betula spp.), sparsely intermixed
with other deciduous species: in SandeW, birch make up 78% of the
browse biomass on a typical clearcut (<20 years since logging, inter-
mediate soil fertility), compared to 95% in Rakkestad (Wam et al.,
2010). In the field layer, bilberry (Vaccinum myrtillus) is the most abun-
dant forage plant in the older forest, and grasses in the younger for-
est. Comprehensive data on plant abundances are given in Wam and
Hjeljord (2010a). are stated per dry weight (mg per DW). Briefly outlined, we ground
the samples, conducted four series of cold-methanol extractions and
then ran the samples through High Pressure Liquid Chromatography
(HPLC, 1100 series, Agilent USA) (for more details, see Nybakken,
Hörkkä, & Julkunen-Tiitto, 2012). We quantified phenolic acids and
flavonoids at 320 nm. Individual compound concentrations were cal-
culated based on available commercial standards. In the result section,
we have collected these into major groups, while the individual meas-
ures are listed in the appendix (Table A1). We analyzed condensed
tannins from the HPLC-extract (MeOH-soluble fraction) and from the
dried residue after phenolic extractions (MeOH-insoluble fraction)
with the acid butanol assay (Hagerman, 2002). We calculated these
concentrations using purified condensed tannins from Betula nana
(dwarf birch) leaves. We systematically sampled foliage from N = 9 pristine trees (no
obvious signs of herbivory, damage, or disease) per clearcut each year. These samples represent the “available” birch foliage in our study. Sampling was systematically spread out along a fixed cross-sectional
pattern of the clearcut, starting with one tree in the center and two
each in the four perpendicular directions from center (excluding the
last 10 m to avoid edge effects). The aim was to spatially distribute our
sampling as much as possible in order to cover the most variance in
local growth conditions for birch on the clearcut and to avoid observer
bias when selecting trees. We therefore kept a straight path, not yield-
ing for hurdles like ditches or piles of logging waste. After walking the
set distance, we sampled the nearest available tree. We opted to in-
clude only pristine trees when sampling for available foliage, because
plant responses to herbivory attacks are so diverse (Kessler & Baldwin,
2002). One can theorize that we thereby omitted attractive foliage,
and rather sampled what had been discarded by moose. However,
there were thousands of birches on the clearcuts in the study area
(4,659 ± 311/ha in Rakkestad, 2,470 ± 252 in SandeW, N = 576 plots),
and only 16 ± 2.4% (Rakkestad) and 15 ± 1.9% (SandeW) of the avail-
able trees were browsed by moose in summer (H. K. Wam, unpublished
data). We therefore consider our samples to be a random selection of
the available foliage, and thus a representation of its average nutri-
tional composition on the clearcuts. Prior to nutrient analyses, we estimated dry matter concentration
by oven-drying subsamples at 103°C. Because dry matter concentra-
tions of samples already were so high from air drying (91.1 ± 0.13%),
samples analyzed for nutritional contents were not additionally dried
in the laboratory. All nutrient measures are stated per dry matter, that
is, corrected for remaining moisture in the dried samples. We esti-
mated CP using a thermal conductivity detector (Leco FP-528; Leco®,
St. Joseph, USA) and the 990.03 calculation (a standard established by
the Association of Official Analytical Chemists, AOAC, 2012). We de-
termined structural carbohydrates using filter bag techniques (Ankom
Technology A200), that is, method 6 for neutral detergent fiber (NDF)
(Van Soest, Robertson, & Lewis, 1991), method 5 for acid detergent
fiber, and method 9 for acid detergent lignin (Daisy II Incubator, solu-
tion as in 973.18, AOAC, 2012). The contents of fiber fractions stated
in the text are adjusted for residual starch and protein (i.e., aNDF),
but not for residual ash (i.e., not aNDFom). We estimated WSC with
a spectrophotometer (Genesys 10S Vis; Thermo Fisher Scientific, Inc.,
Waltham, USA), following Hall, Hoover, Jennings, and Miller Webster
(1999). We analyzed contents of minerals with inductively coupled
plasma spectrometry (ICP-AES) (iCAP 6300 Radial; Thermo Fisher
Scientific, Inc., Waltham, USA) after microwave digestion (EAM sec. 4.4, FDA, 2013). Trees with signs of current summer browsing by moose (i.e., leaf
stripping) were sampled opportunistically throughout the clearcut. Upon visually detecting leaf stripping, we consistently sampled the
tree closest to us (sometimes several trees in a cluster were stripped). Samples could not stem from the same cluster of trees. These sam-
ples represent the “used” foliage in our study. We assume they reflect
the carte blanche choice of moose, that is, their individual nutritional
composition had not (yet) been influenced by the browsing, and thus,
reflect the nutritional composition that moose were seeking in this fo-
liage. This approach is the only option when one wishes not to manip-
ulate the foodscape. Three clearcuts in SandeW lacked browsed trees. We defoliated each sample tree mimicking moose browsing along
the 20–30 outer cm of the current year’s growth of the leader shoot
(including leaves and minor parts of petioles). If the leader shoot on used
trees had been browsed by moose, we defoliated the neighboring shoot. 2.4 | Statistical analyses We tested for differences in nutritional compositions using fac-
torial analyses of variance (“lm” in R, version 2.15.3, R Core Team,
2013), with use (available, used), region (high fitness, low fitness)
and year (2012, 2013) as categorical predictors (specified as factors). Homogeneity of response variances across each predictor level was
checked by graphical inspection of residuals from exploratory linear
fits (Zuur, Ieno, & Smith, 2007) and found adequate apart from for
sodium. We therefore opted to use observations directly, with no
variance-stabilizing transformations. Each response parameter (nu-
trient or chemical group of secondary compounds) was tested in a
separate model with the explanatory predictors (use, region, year) as
fixed effects. Generalized models fitted with logit link function and bi-
nomial distribution for proportional data (McCullagh & Nelder, 1989)
gave consistently the same outcome as our ordinary linear models. To Summer browsing intensity per tree was very low, with only a few shoots
browsed per tree (Wam & Hjeljord, 2010b). Therefore, sampled foliage
always stemmed from shoots in the central apex portion of the tree (not
from the side branches, which may have a different chemical composi-
tion Hjeljord, Høvik, & Pedersen, 1990). Composite samples of available
and used foliage, respectively, were combined in sealed plastic bags on
site and placed in open paper traces when we returned to the field quar-
ters in the afternoon. The foliage was then let to air-dry inside with no
exposure to sunlight. After 3–5 days, foliage had reached a constant dry
weight concentration of 91.1 ± 0.13%. 2.2 | Data collection We collected foliage for obtaining nutritional profiles between
19/06/2012 and 06/07/2012 and between 24/06/2013 and
12/07/2013, alternating between the low-fitness and the high-
fitness region every 3rd day to avoid bias from sample date. Sites
to be sampled were randomly drawn from all available clearcuts of
age 5, 10, or 15 (±1 year) years since clearing (8 replicas of each),
on intermediate soil fertility (defined as G14 or G17 on the H40 sys-
tem) (N = 24 clearcuts each for SandeW and Rakkestad). The same
clearcuts were sampled in 2 years in order to account for potential
influence of weather, which strongly influences nutrient compo-
sition (and moose selection) of browse (Bø & Hjeljord, 1991). June
was colder and drier in 2012 than in 2013: mean temperature/pre-
cipitation was 12.1°C/83 mm versus 13.8°C/142 mm in SandeW, and
11.8°C/108 mm versus 13.6°C/134 mm in Rakkestad (Norwegian
Meteorological Institute, 2013). The soil fertility in the study area is intermediate, and generally a
little higher in SandeW, where approximately 60% of area is classified
as ≥G14 (in the H40 forest productivity index) compared to 40% in
Rakkestad (Wam et al., 2010) (see Tveite, 1977 for details on the H40
index, which indicates tree height when trees are 40 years at breast
height = 1.3 m). A typical clearcut on <G14 sites produces only about
half as much deciduous browse as do clearcuts on the more fertile
sites. Practically, all loggings are performed as clearfelling, and clear-
cuts are small (averaging about 1.5 ha) in a global perspective. Tops
and branches are traditionally left on site to decompose, and new
spruce forest is almost entirely recruited by planting. The use of her-
bicides, pesticides, scarification, and fertilizers is generally scarce in
the area and had not been applied on the clearcuts used for foliage
sampling in this study. 1120 WAM et al. WAM et al. 4 | DISCUSSION Our study of moose selectivity of nutritional compositions in birch
foliage in areas with contrasting fitness produced three key findings. First, the moose showed a clear selection pattern of food constituents,
as the nutritional profiles of birch foliage that they used differed sig-
nificantly from the birch foliage that was available to them on young
clearcuts. Second, our results highlight the complex interconnections
between macronutrients and micronutrients and PSM in a staple food
source and their potential influences on consumers. Third, the area
differences in the availability of foliage with the preferred nutritional
composition offer insights into observed contrasting fitness of the dis-
tinct moose populations living there. Below, we try to integrate these
key findings. It is important not to generalize the specific selection
pattern of food constituents in our study (peak of growing season) to
other times of the year, because this is likely to differ with season (e.g.,
Stolter, Ball, & Julkunen-Tiitto, 2013; Tixier et al., 1997). Macronutrient concentrations in the available birch foliage were
largely similar in the two regions (Table 1, Figure 3), with only hemi-
cellulose and cellulose being slightly lower in the high-fitness region
(hemicellulose only in year 2013, Figure 4). Notably, there was also a
wider range of available concentrations of WSC in the available foli-
age in the high-fitness region, especially in 2013 (thus a significant
area × year interaction). Area differences were stronger for minerals:
the low-fitness region had available birch foliage with more calcium
and zinc (both more so in 2013), as well as more iron, copper, and
manganese than the high-fitness region. In contrast, birch foliage in
the low-fitness region had less phosphorous and magnesium (Mg only
in 2012). According to the PCA, nutrients in the available foliage co-
varied in a distinct pattern: calcium, zinc, manganese, and structural
carbohydrates formed one cluster, while potassium, copper, phospho-
rous, and CP formed another cluster, and magnesium and WSC a third
cluster (Figure 5a). It was mainly the first and third of these clusters
that separated the two regions in the biplots. 4.1 | Selection of food constituents: A challenging
balancing act Moose showed consistent selection for a specific nutritional com-
position across areas, that is, there were practically no significant
area × use interactions (Table 1, Figures 3 and A1). Compared to the
availability, moose used foliage with more CP, calcium, zinc, manga-
nese (particularly in the low-fitness region), potassium, and copper, but
less WSC. The selection of structural carbohydrates differed between
years (Table 1): Lignin concentration in the used foliage was lower than
in the available foliage in 2012, but not so in 2013 (Figure 4). In 2013,
the used foliage also had more hemicellulose compared to the avail-
able foliage. Irrespectively of region, the moose in our study consistently selected
birch foliage with higher concentration of CP and several minerals
(most strongly Ca, Zn, and Mn) than in the average birch foliage that
was available to them. Because of covariation with other food constit-
uents, we must not interpret the positive single statistical coefficients
as intended selection for a given food constituent (Table 1), but rather
look at them in synchrony. A few previous studies on moose selection
of plant material within specific plant species have also shown a corre-
lation between food selection and covarying contents of protein and
minerals (e.g., Danell, Niemela, Varvikko, & Vuorisalo, 1991; Faber &
Lavsund, 1999; Thompson, McQueen, Reichardt, Trenholm, & Curran,
1989). Thompson et al. (1989), for example, concluded that moose
selected for stands of balsam fir which had protein contents that met
their requirement. Because protein comprises a much larger part of
animal diet than do minerals, it is easy to overemphasize by default
the role of protein. However, perhaps an animal uses a particular food
source to adjust the overall intake of other food constituents. A case facilitate direct interpretation of model output, we prefer not to trans-
form data unless necessary. We therefore opted to present the linear
models in the paper. Final models were validated by lack of patterns
in residuals plotted against fitted values and QQ plots of standard-
ized residuals (Zuur et al., 2007). To visualize how nutrient concen-
trations covaried, we ran principal component analyses (“prcomp” in
R). Because of large differences in concentrations between nutrients
(e.g., carbohydrates in the magnitude of 30% vs. trace elements in
the magnitude of 3‰), we centered and scaled concentrations for
each nutrient prior to the PCA (van den Berg, Hoefsloot, Westerhuis,
Smilde, & van der Werf, 2006). MeOH-soluble condensed tannins (and slightly also myricetins) were
lower in used than in available foliage. The available foliage had al-
most a twice as high concentration of these tannins in the low-fitness
region than in the high-fitness region. The low-fitness region also had
significantly more chlorogenic acids and quercetins (no difference be-
tween available and used). A principal component biplot showed clear
area separation of available foliage by differences in the soluble ver-
sus insoluble condensed tannins (Figure 5b). Notably, there was also
a positive covariation between the soluble condensed tannins and di-
gestible carbohydrates (hemicellulose, cellulose, and WSC). Additional
biplots indicate that moose used foliage with generally lower concen-
trations of PSM than available, and more so in the low-fitness region
than in the high-fitness region (Figure A2). 2.3 | Chemical analyses We measured concentrations of low molecular weight phenolics di-
rectly on the air-dried samples from 2013. The phenolic measures WAM et al. 1121 3.2 | Contents of plant secondary metabolites There were also area differences in the concentrations of plant sec-
ondary metabolites (PSM) in the birch foliage, particularly concern-
ing MeOH-soluble condensed tannins (Figure 6). The available foliage
had less MeOH-insoluble tannins in the low-fitness region than it
had in the high-fitness region, but these tannins did not differ be-
tween available and used foliages. In contrast, the concentrations of 1122 WAM et al. WAM et al. 1122 |
WAM
TABLE 1 Concentrations of nutrients (% of dry matter) and plant secondary compounds (mg per dry weight) in birch foliage available to or useda by moose on boreal forest clearcuts (N = 48)b
in two Norwegian regions with contrasting animal fitness (low and high body mass). Foliage was sampled in late June to early July 2012 and 2013 (June 2012 was colder and drier than 2013). Statistical testsc ran as sequential contrasting against the reference level high-fitness region, available foliage, year 2012 (i.e., the intercept). Single coefficients must be interpreted in relation to
the reference level and interaction effects. A simplified example of how to read the table: lignin concentration was 7.3 in the available birch foliage for both regions in 2012 (no influence of
“area”), while it was 0.6 lower in 2013 and 1.8 lower in used than in available. However, there was a positive year × use interaction which largely outweighs these two negative influences (lignin
was actually higher in used than in available foliage in 2013, see also Figure 4). 3.2 | Contents of plant secondary metabolites We have put coefficients most central to interpreting difference between available and used in bold font
Response
Coefficients [t, p-value]
α (intercept)
β1 (area)
β2 (year)
β3 (use)
β1 × β2
β1 × β3
β2 × β3
Crude protein (%)
15.0
n.s
n.s
1.2 [2.8, 0.005]
n.s
n.s
—
Neutral detergent fiber (NDF)
(%)d
30.1
n.s
1.4 [1.5, 0.144]
−1.9 [−1.5, 0.138]
n.s
n.s
4.7 [2.7, 0.007]
Acid detergent fiber (ADF) (%)
16.9
n.s
−0.7 [−1.8, 0.083]
−1.3 [−2.4, 0.016]
n.s
n.s
2.1 [3.0, 0.004]
Lignin (%)
7.3
n.s
−0.6 [−2.5, 0.013]
−1.8 [−2.4, 0.018]
n.s
n.s
2.0 [4.6, 0.000]
Hemicellulose (NDF – ADF)
13.7
0.3 [0.5, 0.641]
0.1 [0.1, 0.913]
−0.6 [−0.7, 0.490]
2.5 [2.4, 0.018]
n.s
3.5 [3.1, 0.003]
Cellulose (ADF – lignin)
9.3
0.6 [3.0, 0.004]
n.s
n.s
n.s
n.s
n.s
Water-soluble carbohydrates
(WSC) (%)
22.3
−2.6 [−2.7, 0.007]
−8.1 [−8.6, 0.000]
−1.8[−2.2, 0.027]
5.9 [4.5, 0.000]
n.s
n.s
Calcium (Ca) (‰)
5.2
0.4 [1.4, 0.152]
−0.3 [−1.3, 0.200]
0.9 [4.2, 0.000]
0.9 [2.6, 0.014]
n.s
n.s
Phosphorous (P) (‰)
2.4
−0.2 [−2.6, 0.010]
−0.2 [−2.0, 0.040]
n.s
n.s
n.s
n.s
Magnesium (Mg) (‰)
3.0
−0.5 [−6.1, 0.000]
−0.2 [−2.7, 0.008]
n.s
0.4 [3.0, 0.004]
n.s
n.s
Potassium (K) (‰)
7.2
n.s
0.6 [2.4, 0.018]
0.7 [2.1, 0.042]
n.s
n.s
−0.6 [−1.4, 0.150]
Sodium (Na) (‰)e
1.0
2.6 [7.4, 0.000]
−0.4 [−1.0, 0.312]
0.1 [0.1, 0.910]
−2.8 [−5.1, 0.000]
−2.8 [−3.5, 0.000]
−0.0 [−0.0, 0.985]
Iron (Fe) (PPM)
53.8
4.4 [2.2, 0.032]
n.s
n.s
n.s
n.s
n.s
Zinc (Zn) (PPM)
190
98.2 [5.5, 0.000]
−7.5 [5.5, 0.000]
69.1 [4.9, 0.000]
132.1 [5.2, 0.000]
n.s
n.s
Copper (Cu) (PPM)
7.3
0.7 [4.2, 0.000]
−1.2 [−5.8, 0.000]
0.7 [2.5, 0.013]
n.s
n.s
−0.5 [−1.4, 0.165]
Manganese (Mn) (PPM)
1550
990 [7.1, 0.000]
n.s
560 [3.4, 0.000]
n.s
494 [2.0, 0.051]
n.s
Molybdenum (Mo) (PPM)
0.2
n.s
−0.1 [−3.3, 0.001]
n.s
n.s
n.s
n.s
MeOH-soluble condensed
tannins (mg per DW)
5.6
3.5 [5.1, 0.000]
−1.6 [−2.3, 0.025]
n.s
MeOH-insoluble condensed
tannins (mg per DW)
31.9
−15.5 [−10.6, 0.000]
n.s
n.s
Chlorogenic acid and deriva-
tives (mg per DW)
1.6
2.1 [7.3, 0.000]
n.s
n.s
Hydroxycinnamic acids (HCAs)
(mg per DW)
0.9
n.s
n.s
n.s
Myricetin glycosides (mg per
DW)
1.0
n.s
−0.2 [−2.0, 0.042]
n.s (Continues) (Continues) Coefficients [t, p-value] Our study was conducted at times of peak contents of CP in
browse (e.g., Leslie, Starkey, & Vavra, 1984; Marshal, Krausman, &
Bleich, 2005). Yet, whether protein contents of food actually contrib-
ute to drive food selection depends on its scarcity relative to animal
needs (see, e.g., Beck, Flinders, Nelson, & Clyde, 1996; Zweifel-Schielly,
Kreuzer, Ewald, & Suter, 2009; Dostaler, Ouellet, Therrien, & Cote,
2011 compared to, e.g., Tixier et al., 1997; Gillingham, Parker, & Hanley,
2001; Zweifel-Schielly et al., 2012). Moose require roughly 6%–8% CP
of dry matter intake for maintenance (Schwartz, Regelin, & Franzmann,
1987), but up to 25% for reproduction and growth (review across cer-
vids; Dryden, 2011). The birch foliage in our study had about 15% CP,
that is, sufficient for maintenance, but possibly deficit for production. Protein is not only a source of amino acids for cell renewal but
also energy. This is pertinent to the question of whether a search for
protein ever drives the food selection of an animal (Felton et al., 2009):
is a selection for food with more protein due to a need for energy or
for amino acids? In our study, protein was higher in used than available
foliage, while other sources of easily digested energy were not (espe-
cially WSC, Figure 3). This indicates that amino acids were of greater
physiological importance to moose than was energy when it foraged
on birch foliage. To fully disentangle these two attributions, we would
have to look at the complete food intake (Felton et al., 2016), taking
into account all the potential covariations of importance as indicated
by the biplots in our study (Figure 5). n.s The moose in our study actually used birch foliage with contents of
WSC being lower than in the available birch foliage. Notably, the within-
year variation of WSC in available foliage was lower in the low-fitness
region than in the high-fitness region, offering moose less of a choice. WSC have seldom been studied in relation to the diet of large herbivores
in natural settings (but see Beck et al., 1996; Faber & Lavsund, 1999;
Tixier et al., 1997), and it seems premature to routinely ignore it. WSC
are one of the highly fermentable sources of energy that is assumed to
increase palatability for most animal species (e.g., Jones & Roberts, 1991). Coefficients [t, p-value] TABLE
in two N
Statistic
the refe
“area”), w
was actu
Respon
Crude p
Neutral
(%)d
Acid det
Lignin (%
Hemice
Cellulos
Water-s
(WSC)
Calcium
Phospho
Magnes
Potassiu
Sodium
Iron (Fe
Zinc (Zn
Copper
Mangan
Molybd
MeOH-
tannins
MeOH-
tannins
Chlorog
tives (m
Hydroxy
(mg pe
Myrice
DW) WAM et al. 1123 Response
α (intercept)
β1 (area)
β2 (year)
β3 (use)
β1 × β2
β1 × β3
β2 × β3
Quercetin glycosides (mg per
DW)
4.1
1.1 [2.9, 0.005]
n.s
n.s
Kaempferol glycosides (mg
per DW)
2.1
0.5 [1.7, 0.099]
0.2 [0.7, 0.471]
−0.7 [−1.7, 0.094]
Apigenin glycosides (mg per
DW)
1.0
−0.4 [−2.3, 0.026]
n.s
n.s
Flavonoids (mg per DW)
6.4
0.9 [1.5, 0.140]
n.s
n.s
Available = foliage from a random sample of undamaged trees that had not (yet) been browsed by moose. Birches were available in very high densities on the clearcuts (mean 3,565 ± 282/ha across study areas),
o we consider these samples to represent a cross-section of available birch foliage (not rejected foliage). Used = foliage from trees with recent browsing marks from moose (i.e., leaf stripping). One municipality selected as sampling area in each region. Clearcuts were randomly drawn from all the area’s clearcuts of intermediate site fertility and age 5, 10 or 15 years since clearing (balanced design). Chemical analyses on composite samples per clearcut, made from 9 ± 0.0 (available) and 3 ± 0.2 (used) trees. The same clearcuts were sampled in both years (secondary compounds only measured in 2013). Linear model, no transformations applied. Generalized models with logit link and binomial correction (quasi-binomial, approximated Wald-statistics) gave consistently the same results. Lignin is practically ingestible to moose, so the digestible fractions of food fiber are hemicellulose and cellulose. β1 × β2 × β3 = 2.7 (2.7, 0.009). Available foliage in the low-fitness region in 2012 had a very large variance (and thereby a higher mean) in sodium, causing the 3-way interaction to be significant. in point, the “selection for” higher Ca by moose in our study may actu-
ally reflect a need for Zn, traded against the costs of accompanying
excess Ca (see below). A selection for food with higher protein contents was expected in
our study because large herbivores normally can meet their protein
needs only during plant growing season (Mattson, 1980; Parker et al.,
2009). Coefficients [t, p-value] However, it could be that there are interactions with other food constit-
uents that wildlife research is not yet aware of. One such may be positive
covariation with soluble condensed tannins (Figure 5b). In contrast to protein and WSC, the moose in our study appeared
to be quite flexible on the fiber structure when selecting birch foliage,
with hemicellulose in used foliage being similar as in available foliage in
1 year (2012) and higher in the other year (2013). This is a fine reminder
to ecologists that weather conditions produce interannual variation
in nutritional compositions (e.g., Vázquez-de-Aldana, García-Ciudad,
& García-Criado, 2008), and subsequently in animals’ food selection. Interestingly, the foliage used also had higher lignin concentrations in
2013 than in 2012. Because lignin is practically indigestible to rumi-
nants (Van Soest, 1994), it is generally expected that they select for food
with lower lignin concentrations. Possibly, the moose had to “accept” 1124 WAM et al. WAM et al. 1124 |
WAM et
FIGURE 3 Nutritional profiles of birch foliage available to and used by moose in two Norwegian regions with contrasting animal fitness, lat
June to early July 2012–2013. Shown are median with 1st–3rd quartiles (boxes) and 1.5 cut-off for min and max (whiskers) for nutrients where
used foliage significantly differed from available foliage. See Table 1 for complete nutritional profiles, as well as the influence of year FIGURE 3 Nutritional profiles of birch foliage available to and used by moose in two Norwegian regions with contrasting animal fitness, late
June to early July 2012–2013. Shown are median with 1st–3rd quartiles (boxes) and 1.5 cut-off for min and max (whiskers) for nutrients where
used foliage significantly differed from available foliage. See Table 1 for complete nutritional profiles, as well as the influence of year birch foliage with more lignin in 2013 because the benefits from other
food constituents outweigh the reduced digestibility from lignin. Findings in our study that stand out in relation to minerals mainly
pertain to Ca, Zn, Cu, and Mn. Although P and Mg were of similar
concentrations in used and available birch foliage, it is also worth
noting the area difference in their ratios to Ca. The ratio between
Ca, P, and Mg is crucial for calcium homeostasis which is one of
the most sensitive homeostasis in the body (Arnaud, 1983). Coefficients [t, p-value] The low-fitness region
had available birch foliage with more Ca, and simultaneously a lit-
tle less P and Mg (ratio Ca:P:Mg = 2.8:1:1.2) than the high-fitness
region (ratio 2.2:1:1.3). Particularly, the former ratio is not within
recommendations for large ruminants (NRC, 2001), where Ca intake
should preferentially stay within 1–1.5 times the P and Mg intake
(lower ratios for maintenance than for bone production). The moose
in our study did not select birch foliage in line with NRC recom-
mendations, however, as the ratios were even higher in used than in
available foliage (ratio used 3.3:1:1.2 for low fitness, and 2.4:1:1.2
for high fitness). This may be a result of constraints in selection op-
tions rather than overall nutritional preferences, as the minerals (as
are all food constituents) are only available to the animals as intri-
cate complexes in “food packages.” Possibly the moose could bal-
ance these mineral ratios by adjusting the intake of other food items
in the diet. consistent across species (Dryden, 2016). The low-fitness region
had available birch foliage with more Ca, and simultaneously a lit-
tle less P and Mg (ratio Ca:P:Mg = 2.8:1:1.2) than the high-fitness
region (ratio 2.2:1:1.3). Particularly, the former ratio is not within
recommendations for large ruminants (NRC, 2001), where Ca intake
should preferentially stay within 1–1.5 times the P and Mg intake
(lower ratios for maintenance than for bone production). The moose
in our study did not select birch foliage in line with NRC recom-
mendations, however, as the ratios were even higher in used than in
available foliage (ratio used 3.3:1:1.2 for low fitness, and 2.4:1:1.2
for high fitness). This may be a result of constraints in selection op-
tions rather than overall nutritional preferences, as the minerals (as
are all food constituents) are only available to the animals as intri-
cate complexes in “food packages.” Possibly the moose could bal-
ance these mineral ratios by adjusting the intake of other food items
in the diet. protein, as well as P and K. The protein-P-K covariation (in an opposite
direction of Ca) has previously been demonstrated in cervid food (e.g.,
Vangilder et al., 1982). These two major interacting complexes put lim-
itations on the moose’ option to compose a nutritionally balanced diet
from birch. Coefficients [t, p-value] In large
herbivores, Ca in the blood must be maintained within the narrow
range of 1.00–1.25 mmol/L (NRC, 2001). The Ca ratios to other min-
erals need to be narrowly balanced because minerals affect each
other’s absorption in the animal body by forming insoluble com-
plexes (Spears, 2003). The Ca:P:Mg mineral ratios are of particular
importance for moose during the growing season (i.e., our time of
study), which is also the period of intensive bone (in juveniles) and
antler (in males) growth. A Ca:P ratio in cervid antlers of 2:1 is highly No other nutrients than fiber had a significant year × use interac-
tion in our study, despite the fact that practically all the mineral con-
centrations in the available birch foliage varied with year (and area). This indicates high importance of mineral compositions to the animals. Ceacero, Landete-Castillejos, Garcia, Estevez, and Gallego (2010) have
documented that cervid individuals are indeed able to adjust their
mineral intake according to the nutritional needs. Different minerals
are absorbed and function in strong interaction (nutrient stoichiom-
etry, Elser et al., 2000), and also in relation to macronutrients. The
importance of balancing the intake of various minerals is well-known
within livestock research (Reece, Erickson, Goff, & Uemura, 2015) but
has received little attention in wildlife literature. | 1125
WAM et al. FIGURE 4 Fiber structure
(hemicellulose and lignin) of birch foliage
available to and used by moose in two
Norwegian regions with contrasting animal
fitness, late June to early July 2012–2013. Shown are median with 1st–3rd quartiles
(boxes) and 1.5 cut-off for min and max
(whiskers). Note the influence of year WAM et al. 1125 FIGURE 4 Fiber structure
(hemicellulose and lignin) of birch foliage
available to and used by moose in two
Norwegian regions with contrasting animal
fitness, late June to early July 2012–2013. Shown are median with 1st–3rd quartiles
(boxes) and 1.5 cut-off for min and max
(whiskers). Note the influence of year FIGURE 4 Fiber structure
(hemicellulose and lignin) of birch foliage
available to and used by moose in two
Norwegian regions with contrasting animal
fitness, late June to early July 2012–2013. Shown are median with 1st–3rd quartiles
(boxes) and 1.5 cut-off for min and max
(whiskers). Note the influence of year consistent across species (Dryden, 2016). Coefficients [t, p-value] If the moose are in need of protein, P, Cu, or K and use
birch to balance their dietary intake, they will have to also accept lower
contents of hemicellulose and different concentrations of Ca, Zn, and
Mg. Likewise, if the moose are in need of Zn, it may have to accept
surplus Ca or Mn, which comprises yet another important trade-off. An excess of Ca intake is known to exacerbate a deficiency of Zn
(and a range of other minerals, Spears, 2003). Zn is part of a vast array
of enzymes involved in especially amino acid synthesis and cell replica-
tion. A deficit therefore typically affects animal tissue growth and re-
production (e.g., Enjalbert, Lebreton, & Salat, 2006), and subsequently,
causes low body mass. Ohlson and Staaland (2001) found that Zn was
one of the minerals that were of higher concentrations in birch than in
most other moose foraging plants in southern Norway (and in line with
Zn concentrations in our study, i.e., approximately 200 PPM compared
to <50 PPM in other plants, see also Suttle, 2010). Birch may therefore
be of special interest to moose as a source of Zn. As expected from the mineral-binding properties of fiber (Schwartz,
Regelin, Franzmann, & Hubbert, 1987; Whitehead, Goulden, & Hartley,
1985), several of the minerals in our study covaried with hemicellulose
(Ca, Zn, and Mn, Figure 5a). Copper on the other hand, covaried with 1126 WAM et al. (a)
Crude protein WAM
(a)
(b)
Crude protein
Biplots showing covariance in concentrations of (a) nutrients as well as (b) plant secondary metabolites in birch foliage availa
Norwegian regions of contrasting animal fitness (high and low), late June to early July 2012–2013. Food constituents on arro
r covary the most, and in a differing direction than other such clusters. The longer the arrow, the stronger the variance of a giv
ws this clustering pattern. The ellipses around observations are 2/3 confidence intervals. The less overlap between these, the (b)
FIGURE 5 Biplots showing covariance in concentrations of (a) nutrients as well as (b) plant secondary metabolites in birch foliage available to
moose in two Norwegian regions of contrasting animal fitness (high and low), late June to early July 2012–2013. Food constituents on arrows
close together covary the most, and in a differing direction than other such clusters. Coefficients [t, p-value] Shown are median with 1st–3rd quartiles (boxes) and 1.5 cut-off for
min and max (whiskers) for chemical groups where used foliage significantly differed from available foliage FIGURE 6 Concentrations (mg DW-1) of plant secondary metabolites in birch foliage available to and used by moose in two Norwegian
regions with contrasting animal fitness, late June to early July 2012–2013. Shown are median with 1st–3rd quartiles (boxes) and 1.5 cut-off for
min and max (whiskers) for chemical groups where used foliage significantly differed from available foliage nutrients in the diet (Villalba & Provenza, 2005). From the above ref-
erences on moose and tannins, it seems that for each 1% increase
in condensed tannin concentration, the digestibility of CP in shrubs
or browse foliage is reduced by 2.5%. Applying these numbers to
our study, soluble condensed tannins in the available foliage may
reduce protein digestibility by about 22% in the low-fitness region,
and by about 12% in the high-fitness region. This falls well in line
with Spalinger et al. (2010), who found that the reduction was 38%
across a range of natural browse for moose in Alaska. This could be a
substantial loss if protein is scarce. Notably, the moose were able to
select foliage with 3 times lower concentrations of soluble condensed
tannins in the high-fitness region compared to the low-fitness region. The area differences in actual effects of tannins may be even more
skewed, as the tannin: protein ratio can determine whether insoluble
tannin/protein complexes will form (Hagerman & Robbins, 1987). A
follow-up of our study would be to conduct in vivo digestibility trials
with the birch foliage. In neither region did the moose show a strong general avoidance of
PSM. This is in line with previous studies of moose and PSM avoidance
for summer foliage (Stolter et al., 2013), as opposed to for winter twigs
(Stolter, 2008). The biplots in the appendix (Figure A2) indicate that
moose selected foliage with overall less PSM, but in the constituent-
specific models (Table 1), only MeOH-soluble condensed tannins (and
to a lesser extent myricetins) had a significantly different concentration
of available and used. Very little is known about cervid food selection
and myricetins (often considered a beneficial antioxidant to humans,
Williamson & Manach, 2005). A previous study on moose showed a
positive relationship between food use and myricetins contents in
summer (Stolter et al., 2013). Coefficients [t, p-value] The longer the arrow, the stronger the variance of a given
nutrient follows this clustering pattern. The ellipses around observations are 2/3 confidence intervals. The less overlap between these, the
larger the difference between areas. Ca, calcium; P, phosphorous; K, potassium; Zn, zinc; Mn, manganese; Cu, copper; sol.tannin, MeOH-soluble
condensed tannins; ins.tannin, MeOH-insoluble condensed tannins; HCA, hydroxycinnamic acids; ChlAcid, chlorogenic acids (b) (b) FIGURE 5 Biplots showing covariance in concentrations of (a) nutrients as well as (b) plant secondary metabolites in birch foliage available to
moose in two Norwegian regions of contrasting animal fitness (high and low), late June to early July 2012–2013. Food constituents on arrows
close together covary the most, and in a differing direction than other such clusters. The longer the arrow, the stronger the variance of a given
nutrient follows this clustering pattern. The ellipses around observations are 2/3 confidence intervals. The less overlap between these, the
larger the difference between areas. Ca, calcium; P, phosphorous; K, potassium; Zn, zinc; Mn, manganese; Cu, copper; sol.tannin, MeOH-soluble
condensed tannins; ins.tannin, MeOH-insoluble condensed tannins; HCA, hydroxycinnamic acids; ChlAcid, chlorogenic acids FIGURE 5 Biplots showing covariance in concentrations of (a) nutrients as well as (b) plant secondary metabolites in birch foliage available to
moose in two Norwegian regions of contrasting animal fitness (high and low), late June to early July 2012–2013. Food constituents on arrows
close together covary the most, and in a differing direction than other such clusters. The longer the arrow, the stronger the variance of a given
nutrient follows this clustering pattern. The ellipses around observations are 2/3 confidence intervals. The less overlap between these, the
larger the difference between areas. Ca, calcium; P, phosphorous; K, potassium; Zn, zinc; Mn, manganese; Cu, copper; sol.tannin, MeOH-soluble
condensed tannins; ins.tannin, MeOH-insoluble condensed tannins; HCA, hydroxycinnamic acids; ChlAcid, chlorogenic acids | 112
WAM et al. WAM et al. 1127 |
. FIGURE 6 Concentrations (mg DW-1) of plant secondary metabolites in birch foliage available to and used by moose in two Norwegian
regions with contrasting animal fitness, late June to early July 2012–2013. Coefficients [t, p-value] Possibly, the negative relationship in our
study stems from covariation with the soluble tannins (Figure 5b, A2). The classical studies of Robbins, Hanley, et al. (1987) and Robbins,
Mole, Hagerman, and Hanley (1987) found that condensed tannins
reduce protein digestibility for ruminants. Subsequent studies have
confirmed this (e.g., Hagerman & Robbins, 1993; Jones, Rude, et al.,
2010; Spalinger, Collins, Hanley, Casara, & Carnahan, 2010) but also
added nuances to the relationship: tannins may actually be beneficial
at some concentrations (Clauss et al., 2003; Min, Barry, Attwood, &
McNabb, 2003), and its influence on intake may differ with season
(Chapman, Bork, Donkor, & Hudson, 2010) or concentrations of other 4.2 | From food selection to fitness, the next steps Ultimately, research on nutritional ecology is directed to understand
higher level ecosystem interactions, typically along the pathway of 1128 WAM et al. WAM et al. animal fitness (DeGabriel et al., 2014). Access to food that better
match the preferred nutritional composition is beneficial to wide-
roaming animals such as moose for two reasons. One is the improved
nutrient absorption discussed throughout the previous section. The
other is the reduced energetic costs of obtaining the nutrients in
the landscape (locomotion Fryxell, 1991; or predator vigilance
Christianson & Creel, 2010). Our study highlights the need to take
into account that the realized value of a given food source to an
animal may be site-specific. In our study, the most abundant food
available to moose had a less optimal nutritional composition in the
low-fitness region compared to in the high-fitness region, but still
moose in both areas selected for the same nutritional composition of
this food source. Such fastidiousness limits the amount of available
food that is acceptable to the animal and has bearings on our un-
derstanding and application of the concept of carrying capacity. To
better find out how, we encourage researchers to conduct food se-
lection studies from a multidimensional viewpoint, by assessing food
constituents in synchrony. This can clarify the functional roles of
different constituents and the animals’ nutritional priorities in times
of scarcity. Another key element for future studies that is currently
lacking is the bioactivity of specific PSM in the animal body, that
is how they impact nutrition and subsequently, animal physiology. With such developments, we would gain a further understanding of
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https://europepmc.org/articles/pmc5402977?pdf=render
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Breton
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Correction: Virtual Hand Feedback Reduces Reaction Time in an Interactive Finger Reaching Task
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PloS one
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cc-by
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CORRECTION Correction: Virtual Hand Feedback Reduces
Reaction Time in an Interactive Finger
Reaching Task Johannes Brand, Marco Piccirelli, Marie-Claude Hepp-Reymond, Manfred Morari,
Lars Michels, Kynan Eng Johannes Brand, Marco Piccirelli, Marie-Claude Hepp-Reymond, Manfred Morari,
Lars Michels, Kynan Eng The standard deviations of the oculomotor parameters in Table 2 are incorrect. Please see the
corrected Table 2 here. a1111111111
a1111111111
a1111111111
a1111111111
a1111111111 OPEN ACCESS
Citation: Brand J, Piccirelli M, Hepp-Reymond M-
C, Morari M, Michels L, Eng K (2017) Correction:
Virtual Hand Feedback Reduces Reaction Time in
an Interactive Finger Reaching Task. PLoS ONE 12
(4): e0176655. https://doi.org/10.1371/journal. pone.0176655 Published: April 24, 2017 Copyright: © 2017 Brand 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 / 2 PLOS ONE | https://doi.org/10.1371/journal.pone.0176655
April 24, 2017 light: point light; c. hand:
cartoon hand; v. hand: virtual hand. p-values were Bonferroni corrected. PLOS ONE | https://doi.org/10.1371/journal.pone.0176655
April 24, 2017 Table 2. Analyses of oculomotor parameters. Table 2. Analyses of oculomotor parameters. Parameter
Action
Act.–Obs. Observation
cursor
p. light
c. hand
v. hand
p
cursor
p. light
c. hand
v. hand
Sac. (2s-1)
3.7 ± 0.4
3.7 ± 0.3
3.6 ± 0.4
3.7 ± 0.5
0.017*
4.2 ± 0.4
3.9 ± 0.3
4.1 ± 0.4
4.2 ± 0.5
Fix. (2s-1)
3.0 ± 0.4
3.0 ± 0.3
2.9 ± 0.4
3.1 ± 0.5
0.004*
3.5 ± 0.4
3.3 ± 0.3
3.5 ± 0.4
3.6 ± 0.5
Bli. (2s-1)
0.3 ± 0.1
0.4 ± 0.1
0.3 ± 0.1
0.3 ± 0.1
<0.001*
0.5 ± 0.1
0.5 ± 0.1
0.6 ± 0.1
0.5 ± 0.1
ΔSac.(ms)
45.9 ± 3.9
49.7 ± 4.6
44.7 ± 4.0
48.5 ± 6.9
0.017*
56.3 ± 5.9
52.5 ± 4.6
57.2 ± 6.0
56.9 ± 6.2
ΔFix.(ms)
407.4 ± 36.7
459.8 ± 30.6
396.5 ± 32.1
399.4 ± 37.9
0.017*
346.7 ± 25.5
336.1 ± 23.9
355.3 ± 26.4
347.3 ± 32.2
ΔBli.(ms)
51.6 ± 10.2
51.6 ± 10.8
43.1 ± 10.1
42.8 ± 12.2
<0.001*
67.3 ± 10.8
62.1 ± 10.3
68.0 ± 11.1
71.3 ± 12.5
Δx(px)
111.5 ± 7.9
95.6 ± 6.7
98.8 ± 6.4
106.7 ± 6.3
1.000
108.1 ± 6.0
94.0 ± 6.6
94.2 ± 5.6
102.9 ± 5.9
Δy(px)
182.4 ± 4.6
176.8 ± 2.1
181.3 ± 5.1
181.0 ± 4.0
1.000
183.1 ± 4.5
174.2 ± 4.2
173.0 ± 3.3
180.8 ± 3.5
Dvx
px
s
48.3 ± 1.9
43.2 ± 1.2
43.9 ± 1.6
47.8 ± 2.0
1.000
53.1 ± 4.6
44.1 ± 2.2
45.6 ± 1.4
43.6 ± 1.5
Dvy
px
s
63.0 ± 2.0
61.4 ± 1.3
63.4 ± 1.9
66.9 ± 1.9
1.000
66.3 ± 2.3
61.3 ± 2.2
65.4 ± 1.8
64.3 ± 2.1
Mean ± standard error of oculomotor parameters. Sac.: Saccade; Fix.: Fixation; Bli.: Blink; ΔSac.: Saccade duration; ΔFix.: Fixation duration; ΔBli.: Blink
duration; Δx: amplitude x; Δy: amplitude y; Δvx: velocity x; Δvy: velocity y; px: pixel; Act.–Obs.: factor Action–Observation; p. light: point light; c. hand:
cartoon hand; v. hand: virtual hand. p-values were Bonferroni corrected. Mean ± standard error of oculomotor parameters. Sac.: Saccade; Fix.: Fixation; Bli.: Blink; ΔSac.: Saccade duration; ΔFix.: Fixation duration; ΔBli.: Blink
duration; Δx: amplitude x; Δy: amplitude y; Δvx: velocity x; Δvy: velocity y; px: pixel; Act.–Obs.: factor Action–Observation; p. https://doi.org/10.1371/journal.pone.0176655.t001 1.
Brand J, Piccirelli M, Hepp-Reymond M-C, Morari M, Michels L, Eng K (2016) Virtual Hand Feedback
Reduces Reaction Time in an Interactive Finger Reaching Task. PLoS ONE 11(5): e0154807. doi:10.
1371/journal.pone.0154807 PMID: 27144927 Reference 2 / 2
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https://jneuroengrehab.biomedcentral.com/counter/pdf/10.1186/s12984-023-01254-0
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English
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Virtual reality—enhanced walking in people post-stroke: effect of optic flow speed and level of immersion on the gait biomechanics
|
Journal of neuroengineering and rehabilitation
| 2,023
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cc-by
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© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecom‑
mons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Journal of NeuroEngineering
and Rehabilitation Journal of NeuroEngineering
and Rehabilitation De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124
https://doi.org/10.1186/s12984-023-01254-0 De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124
https://doi.org/10.1186/s12984-023-01254-0 Journal of NeuroEngineering
and Rehabilitation Abstract Background Optic flow—the apparent visual motion experienced while moving—is absent during treadmill walk‑
ing. With virtual reality (VR), optic flow can be controlled to mediate alterations in human walking. The aim of this
study was to investigate (1) the effects of fully immersive VR and optic flow speed manipulation on gait biomechanics,
simulator sickness, and enjoyment in people post-stroke and healthy people, and (2) the effects of the level of immer‑
sion on optic flow speed and sense of presence. Methods Sixteen people post-stroke and 16 healthy controls performed two VR-enhanced treadmill walking
sessions: the semi-immersive GRAIL session and fully immersive head-mounted display (HMD) session. Both con‑
sisted of five walking trials. After two habituation trials (without and with VR), participants walked three more trials
under the following conditions: matched, slow, and fast optic flow. Primary outcome measures were spatiotemporal
parameters and lower limb kinematics. Secondary outcomes (simulator sickness, enjoyment, and sense of presence)
were assessed with the Simulator Sickness Questionnaire, Visual Analogue Scales, and Igroup Presence Questionnaire. Results When walking with the immersive HMD, the stroke group walked with a significantly slower cadence
(-3.69strides/min, p = 0.006), longer stride time (+ 0.10 s, p = 0.017) and stance time for the unaffected leg (+ 1.47%,
p = 0.001) and reduced swing time for the unaffected leg (− 1.47%, p = 0.001). Both groups responded to the optic
flow speed manipulation such that people accelerated with a slow optic flow and decelerated with a fast optic flow. Compared to the semi-immersive GRAIL session, manipulating the optic flow speed with the fully immersive HMD
had a greater effect on gait biomechanics whilst also eliciting a higher sense of presence. Conclusion Adding fully immersive VR while walking on a self-paced treadmill led to a more cautious gait pattern
in people post-stroke. However, walking with the HMD was well tolerated and enjoyable. People post-stroke altered
their gait parameters when optic flow speed was manipulated and showed greater alterations with the fully-immer‑
sive HMD. Further work is needed to determine the most effective type of optic flow speed manipulation as well
as which other principles need to be implemented to positively influence the gait pattern of people post-stroke. Trial registration number: The study was pre-registered at ClinicalTrials.gov (NCT04521829). Virtual reality—enhanced walking in people
post‑stroke: effect of optic flow speed and level
of immersion on the gait biomechanics
Emma De Keersmaecker1,2,3,4*, Anke Van Bladel4,5, Silvia Zaccardi1,3,6, Nina Lefeber1,7,
Carlos Rodriguez‑Guerrero8, Eric Kerckhofs1, Bart Jansen3,6,9 and Eva Swinnen1,2,3,4 Virtual reality—enhanced walking in people
post‑stroke: effect of optic flow speed and level
of immersion on the gait biomechanics
Emma De Keersmaecker1,2,3,4*, Anke Van Bladel4,5, Silvia Zaccardi1,3,6, Nina Lefeber1,7,
Carlos Rodriguez‑Guerrero8, Eric Kerckhofs1, Bart Jansen3,6,9 and Eva Swinnen1,2,3,4 RESEARCH Open Access Abstract Keywords Virtual reality, Optic flow, Gait biomechanics, Stroke *Correspondence:
Emma De Keersmaecker
emma.de.keersmaecker@vub.be
Full list of author information is available at the end of the article *Correspondence:
Emma De Keersmaecker
emma.de.keersmaecker@vub.be
Full list of author information is available at the end of the article Background Two-thirds of all stroke survivors suffer from walking
impairments, causing them to experience a decrease in
activities of daily living, level of participation and qual-
ity of life [4–6]. People post-stroke often have an asym-
metric gait pattern characterized by a shorter stance time
and longer swing time of the affected limb and a longer
stance time and shorter swing time of the unaffected
limb [7]. This asymmetry leads to alterations in step
length and a reduced walking speed and cadence [7]. In
order to improve these impairments, people post-stroke
often receive treadmill training, a repetitive and task-spe-
cific gait training that has the potential to enhance neural
plasticity—the ability to create permanent structural and
functional changes of the brain and spinal cord—which is
vital to trigger the learning process of the sensorimotor
system [8, 9]. Two key aspects of VR are immersion and sense of
presence. Based on the level of immersion, VR devices
and systems can be classified into two categories: (1)
Semi-immersive or non-immersive VR systems, who let
the user perceive both real world and a part of the vir-
tual environment (e.g. TV-screens, projection screens),
and (2) Fully immersive VR systems, who fully integrate
the user into the virtual environment, by blocking out
perception of the real world (e.g. head-mounted dis-
plays (HMD)) [24]. The level of immersion has an impact
on the user’s VR experience by influencing the sense of
presence (i.e. the feeling of being physically present in
the virtual world), with stronger feelings of ‘being physi-
cally present’ during exposure in more immersive virtual
environments [25, 26]. With semi-immersive VR systems
participants are still perceiving the real environment and
thus also the real optic flow while walking. Therefore, it is
expected that the effect of optic flow speed manipulations
on gait will be more limited in a non – or semi-immersive
virtual environment, compared to a fully immersive vir-
tual environment. However, to the best of our knowledge,
no research has been performed so far on the effect of
immersion on optic flow speed manipulations. Controlling our locomotion is a complex, multisensory
process and involves the integration of visual, vestibu-
lar, and proprioceptive information [10]. An important
source of visual information used to guide locomotion
is optic flow. Optic flow refers to the pattern of visual
motion experienced while moving around and is being
projected onto the retina of the eye. Background populations [10, 13]. In general, it seems that healthy
people will increase their walking speed with a slower
optic flow and decrease their speed with a faster optic
flow [14–16, 18]. This strategy can be altered in patients
with neurological diseases due to damage in brain areas
involved in the perception and use of optic flow [10]. For example, Schubert and colleagues (2005) found that
due to the overreliance on visual information in Parkin-
son’s disease patients, optic flow speed manipulations
led to exaggerated walking speed responses compared to
healthy people [20]. On the other hand, the study by Lim
et al. reported that cerebral palsy children used an oppo-
site strategy and increased their walking speed with a fast
optic flow speed and vice versa [23]. It is assumed that
people post-stroke still have the ability to use optic flow
information during walking, but alterations are possible
and responses can be heterogeneous between individu-
als, depending on the location of the brain lesion [10]. With the use of VR, the selective manipulation of optic
flow could be used to induce desired locomotor changes,
such as an increase in walking speed, and therefore has
the potential to advance the field of post-stroke gait reha-
bilitation. However, studies about the effect of optic flow
speed on locomotion in people post-stroke are still scarce
[13, 22]. Given the potential of optic flow speed manip-
ulation, further exploration is necessary to determine
how such manipulation could be useful for rehabilitation
purposes. A more in-depth analysis of how optic flow
speed influences the gait pattern in people post-stroke is
needed. In recent years, virtual reality (VR) has been on the rise
in the field of healthcare. Over the last 20 years, the pop-
ularity and use of VR for physical rehabilitation alone
increased remarkably, with increasing evidence sup-
porting its use [1, 2]. However, VR that is used today for
physical rehabilitation are often video gaming consoles
and were initially designed for entertainment purposes
instead of rehabilitation [3]. Consequently, they do not
incorporate rehabilitation and motor learning principles
to optimally enhance motor rehabilitation. Hence, VR
games specifically built for different rehabilitation pur-
poses are required to achieve optimal rehabilitation [3]. One of these rehabilitation purposes that could benefit
from VR is post-stroke gait rehabilitation. Post-stroke
gait rehabilitation remains a major clinical challenge. © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this
licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecom‑
mons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 2 of 18 De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (20 Background It provides us with
information about the direction and speed of locomotion
[10, 11]. During normal walking, the optic flow and pro-
prioceptive information are congruent. However, with
the use of VR, the speed of optic flow can be manipulated
in such way that there is a mismatch between the optic
flow and the proprioceptive information of the lower
limbs [12]. As a result, people will adjust their gait pat-
tern in order to diminish this incongruity [13].ll Optic flow speed and its influence on locomotion has
been examined in the healthy population [14–18] and
more specific in older adults [19], but also in several clin-
ical populations, such as neurological patients [13, 20–
22]. It is suggested that optic flow can exert an influence
on locomotion, but there are conflicting results between Page 3 of 18 De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 For these reasons, the aim of this study was three-fold:
(1) to investigate the effect of adding fully immersive VR
while walking on a self-paced treadmill on the gait bio-
mechanics, simulator sickness and enjoyment, in peo-
ple post-stroke and healthy people, (2) to investigate the
effect of optic flow speed manipulation (two times faster
and two times slower than their comfortable walking
speed) on the gait biomechanics, in people post-stroke
and healthy people and (3) to investigate the effect of
the level of immersion (semi-immersive vs. fully immer-
sive) during walking with different optic flow speeds on
the gait biomechanics and level of presence, in people
post-stroke and healthy people. We hypothesized that:
(1) adding fully immersive VR while walking on a self-
paced treadmill will alter the gait biomechanics in both
groups, (2) both healthy people and people post-stroke
will alter their gait pattern in response to the optic flow
speed manipulation and (3) the effect of optic flow speed
manipulation and the level of presence will be larger with
the fully immersive VR. pattern (Functional Ambulation Categories (FAC) score
2, 3 or 4), (5) ability to walk on a treadmill for 4 times
8 min without bodyweight support, (6) to signal pain,
fear and discomfort and (7) to give informed consent. People post-stroke were excluded if they had (1) other
neurological deficits leading to impaired gait (e.g. Par-
kinson’s disease, multiple sclerosis), (2) comorbidities
(e.g. Background COPD, severe osteoporosis, cardiovascular insta-
bility), (3) visual and/or vestibular disorders that can
interfere with the VR (e.g. Meniere’s disease), (4) severe
spasticity of the lower limbs (Modified Ashworth
Scale > 2), (5) acute medical illness, (6) the inability to
understand and carry out instructions and (7) severe
unilateral spatial neglect. For the healthy participants, the following inclusion
criteria were used: (1) normal or corrected-to-normal
vision with glasses or contact lenses and (2) no locomo-
tion impairments. Participants were excluded if they (1)
have had significant lower extremity injuries during the
last two years that might affect their gait and (2) had any
type of vestibular/visual deficiency. i
Based on a sample size calculation (G*Power 3.1.9.4)
(F-tests, repeated measures ANOVA, within-between
subjects) with Cohen’s f of 0.25 (moderate effect size),
type 1 error probability of 0.05, power of 0.80 for 2
groups and 4 conditions, a minimum of 24 participants,
divided equally in 2 groups, had to be recruited. Apparatus Participants walked on the treadmill of the GRAIL sys-
tem, an integrative motion capture system consisting of
10 optical motion cameras (Vicon Inc., UK), a dual belt
treadmill with integrated force sensors, a 180-degree
cylindrical projection screen and D-Flow software
(Motekforce Link, Netherlands). The treadmill of the
GRAIL system has two modes: fixed walking speed or
self-paced. For this study, the treadmill was self-paced,
meaning that the participants had control over the speed
of the treadmill and could start, stop and change speed at
will. For safety reasons, participants wore a safety harness
and the maximum walking speed was set at 2 m/s. The 180-degree cylindrical projection screen of the
GRAIL system provided the semi-immersive VR, while
the HMD VR system ‘Oculus Rift’ (Oculus, LLS, US)
ensured the fully immersive VR (Figs. 1 and 2). The vir-
tual environment used in this study was a standard envi-
ronment provided by Motek and represented a city street
in the Italian Alps. For this study, the game elements of
this environment (i.e. collecting ingredients on the street)
were removed and participants only had to walk forward. The same virtual environment was shown in both VR
devices. Material and methods
Study design An experimental, 2-group, repeated measures single-
center trial was conducted in which people post-stroke
and healthy people performed two VR-enhanced tread-
mill walking sessions. Both sessions were identical
and carried out on two separate points in time within
10 days, only the VR system used to manipulate the optic
flow speed differed: the semi-immersive Gait Real-time
Interactive Lab (GRAIL) system and the fully immersive
head-mounted display (HMD). The study took place at
the Smart Space lab of the University Hospital in Ghent,
Belgium. The study was approved by the Ethics Com-
mittee of the University of Brussels and the University
Hospital of Ghent (B1432020000120) and pre-registered
at ClinicalTrials.gov (NCT04521829). The results of this
study has been reported in two different papers. The first
paper reports on the effect of adding and manipulating
optic flow speed in a semi-immersive virtual environ-
ment (GRAIL session, paper submitted). The current
paper reports on the effect of adding and manipulating
optic flow speed in a fully immersive virtual environment
(HMD session) and compares the GRAIL and HMD ses-
sion to investigate the effect of the level of immersion. Participants Chronic, ambulatory stroke patients and age – and
sex matched healthy adults were included. The follow-
ing inclusion criteria were used for the stroke popula-
tion: (1) diagnosed with stroke (as defined by the World
Health Organization), (2) adult (≥ 18 years), (3) stroke
onset ≥ 3 months, (4) ambulatory with an impaired gait De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 4 of 18 Fig. 1 The GRAIL system with the semi-immersive projection screen (left) and with the fully immersive HMD ‘Oculus Rift’ (right) Fig. 1 The GRAIL system with the semi-immersive projection screen (left) and with the fully immersive HMD ‘Oculus Rift’ (right) g. 1 The GRAIL system with the semi-immersive projection scr Fig. 2 A picture of a participant walking on the GRAIL system
with the reflective markers while wearing the HMD Statistical analysis
IBM SPSS Statistic IBM SPSS Statistics version 28, custom-made scripts in
Python 3.7. and Matlab (R2022a) were used for statistical
analysis. Level of significance was set at α = 0.05. Baseline
characteristics between groups were compared using an
independent sample t-test and Mann–Whitney U test for
respectively normally and not-normally distributed con-
tinuous variables and a Chi-squared test for categorical
variables. Our secondary outcome measures were simulator sick-
ness, sense of presence and level of enjoyment. Simulator
sickness was assessed with the Simulator Sickness Ques-
tionnaire (SSQ) [28]. The SSQ is a widely used question-
naire to evaluate simulator sickness when using VR and
consists of 16 symptoms. Before and after the walking
trial, participants had to indicate on a four-point Likert
scale ranging from 0 (none) to 3 (severe) how much each
symptom was affecting them at that moment. The overall
score is measured by adding the scores of the 16 items
and multiplying the achieved sum by 3.74 [28]. The total
score can serve as an indicator of the severity of the simu-
lator sickness and ranges between 0 – 179.52 with higher
scores indicating higher levels of simulator sickness.h To investigate the effect of fully immersive VR on the
gait biomechanics, the averages during the last 30 s of
the trial without VR were compared to those obtained
during the last 30 s of the habituation trial. For spati-
otemporal data, linear mixed-effect models (LMM) were
used. LMM were conducted with condition (no VR, with
VR) and group (post-stroke, healthy) as fixed factors,
accounting for the within subject correlations and a ran-
dom intercept of participants. Multiple models were built
in SPSS. With the use of the Akaike’s Information Crite-
ria (AIC) value, the best fitted model was chosen (with
smaller AIC values indicating a better model). The within
subject covariance was unstructured. For kinematic data,
statistical parametric mapping (SPM) was used [30]. A
SPM two-way Analysis of Variance (ANOVA) was per-
formed to examine the effect of condition (no VR, with
VR) and group (post-stroke, healthy): the F-statistic
(SPM{F}) was calculated at each point of the time-series. Where SPM{F} crossed a threshold equivalent to α = 0.05,
post-hoc Bonferroni analyses were performed using SPM
paired t-tests. For post-hoc comparisons, the SPM{t} sta-
tistic was calculated for each comparison. Experimental procedure In each session, both groups underwent five walking tri-
als (see Fig. 3 for the protocol timeline). The first trial
consisted of 8 min where participants walked without VR
to get familiarized with self-paced walking [27]. For the
second trial, the habituation trial, the VR was added and
participants walked for 5 min with either the large pro-
jection screen of the GRAIL system (GRAIL session) or
with the VR glasses (HMD session) to get used to walking
with VR. Thereafter, participants underwent three more
walking trials of 8 min during which the optic flow speed
was being manipulated: 2 times slower than, equal to and
2 times faster than their comfortable walking speed. The
duration of 8 min was chosen to investigate if and how
long the changes that are expected immediately after the
manipulation of optic flow maintain. A longer duration
was not feasible and/or would evoke fatigue. The com-
fortable walking speed of the participants was defined
as the average walking speed during the 5-min habitu-
ation trial. The optic flow speed manipulation occurred
after one minute and lasted for the remaining 7 min. The
order of the two sessions (GRAIL, HMD) and the optic
flow speed manipulation within the session (matched,
slow, fast) was randomized through block randomiza-
tion in Microsoft Excel®. Participants were not informed
about this manipulation. In-between walking rounds, Fig. 2 A picture of a participant walking on the GRAIL system
with the reflective markers while wearing the HMD Fig. 3 A protocol timeline for a possible GAIL or HMD session Fig. 3 A protocol timeline for a possible GAIL or HMD session Fig. 3 A protocol timeline for a possible GAIL or HMD session De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 5 of 18 De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation participants were given a 5-min rest period to complete a
few short questionnaires. agreeing with the statement). The maximus score of the
IPQ in total is 84. The maximum score for the subscales
are 6 for the general item, 30 for spatial presence, 24 for
involvement and 24 for experienced realism. At the end
of each session, participants had to fill in the IPQ. Outcomes and pre‑processing Our primary outcome measures were lower limb kin-
ematics (i.e. hip, knee and ankle in the sagittal plane)
and spatiotemporal gait parameters (i.e. walking speed,
cadence, stride time, step length, swing – and stance
time, step width). i
Lastly, the level of enjoyment was assessed with two
Visual Analogue Scales (VAS). After walking without the
VR and with the VR, participants were asked to answer
following two questions: VAS1 – Indicate on the line
below how much you enjoyed walking on the treadmill
under these conditions, VAS2 – Indicate on the line
below whether you would like to do this type of gait
training during your rehabilitation (stroke group only). Participants had to answer these questions by drawing a
line on a 10 cm horizontal line. At both ends of the line,
opposite answers were provided. Using a ruler, the score
can be determined by measuring the distance (cm) on the
10-cm line between the beginning of the line (left side)
and the participant’s mark, providing a range of scores
from 0–10. Kinematic data were recorded with the use of a
10-camera VICON Vero 1.3 system at 100 Hz using the
full body Plug-in-Gait model provided by Vicon. In this
study we only used marker data from the lower limbs. Sagittal kinematic marker data of the hip, knee and ankle
were processed using Vicon Nexus software. Gait cycle
segmentation of kinematic data and calculation of the
spatiotemporal gait parameters (i.e. cadence, stride time,
step length, swing – and stance time, step width) were
performed in Python 3.7. (Anaconda Inc., USA) with
custom-made scripts. Walking speed was measured con-
tinuously and was derived directly from the treadmill sys-
tem. Data were resampled to 100 Hz with custom-made
scripts in Python 3.7. Statistical analysis
IBM SPSS Statistic The critical
threshold was set equivalent to α = 0.0253 to account for The sense of presence experienced in a virtual envi-
ronment was assessed with the Igroup Presence Ques-
tionnaire (IPQ) [29]. The IPQ consists of 14 questions
divided in three subscales (spatial presence, involvement,
experienced realism) and one additional general item not
belonging to a subscale. “Spatial presence” measures the
sense of being physically present (e.g. “Somehow I felt
that the virtual world surrounded me”), “involvement”
measures the attention devoted to the virtual environ-
ment and involvement experienced (e.g. “How aware
were you of the real world surrounding while navigating
in the virtual world?”) and “Experienced realism” meas-
ures the subjective experience of realism (e.g. “How real
did the virtual world seem to you?”). The IPQ is scored
on a seven-point Likert scale ranging from 0 (when
totally disagreeing with the statement) to 6 (when totally De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 6 of 18 Table 1 Subjects’ demographic and clinical characteristics
BDI Beck Depression Inventory. FAC Functional Ambulation Categories. Values
are expressed in number (percentage) or mean ± standard deviation
Characteristic
Stroke (n = 16)
Healthy (n = 16)
p-value
Age (years)
53.88 ± 11.43
53.75 ± 11.61
0.976
Sex
Male (n, %)
Female (n, %)
10 (62.5)
6 (37.5)
10 (62.5)
6 (37.5)
1.000
Height (cm)
172.00 ± 8.52
173.50 ± 6.82
0.587
Weight (kg)
74.18 ± 14.35
73.41 ± 11.13
0.867
BDI score
10.88 ± 8.68
1.81 ± 2.46
< 0.001
Time since stroke
(months)
44.24 (49.20)
-
Paretic side
Left (n, %)
Right (n, %)
9 (56.25)
7 (43.75)
-
-
FAC score
4
-
Fugl-Meyer lower limb
(/34)
22.69 (6.87)
- Table 1 Subjects’ demographic and clinical characteristics multiple comparisons. The t-statistic (SPM{t}) was calcu-
lated at each point of the time-series and where SPM{t}
crossed the threshold, significant differences were found.fl ,
gif
To investigate the effect of optic flow speed on the gait
biomechanics, four time points were compared to exam-
ine both the short-term and long-term effect: the aver-
ages during the 30 s before the manipulation, compared
to those obtained during the 30 s immediately after the
manipulation, the middle 30 s and the last 30 s of the
8-min trial. Statistical analysis
IBM SPSS Statistic LMM were conducted for spatiotemporal
parameters, with optic flow condition (matched, fast,
slow), time (pre manipulation, post manipulation, mid-
dle and end of the trial) and group (post-stroke, healthy)
as fixed factors, accounting for the within subject corre-
lations and a random intercept of participants. Multiple
models were again built in SPSS and with the use of the
AIC the best fitted model was chosen. The within sub-
ject covariance was unstructured. For the kinematic data,
a SPM two-way repeated measures ANOVA was per-
formed to examine the effect of time (pre manipulation,
post manipulation, middle and end of the trial) and group
(post-stroke, healthy) in each optic flow condition: the
SPM{F} was calculated at each point of the time-series. Where SPM{F} crossed a threshold equivalent to α = 0.05,
post-hoc Bonferroni analyses were performed using SPM
paired t-tests. For post-hoc comparisons, the SPM{t}
statistic was calculated for each comparison. The criti-
cal threshold was set equivalent to α = 0.017 to account
for multiple comparisons. Significant differences were
recorded where the SPM{t} crossed this threshold.f BDI Beck Depression Inventory. FAC Functional Ambulation Categories. Values
are expressed in number (percentage) or mean ± standard deviation Effect of fully immersive VR on the gait biomechanics
Spatiotemporal gait parametershf Effect of fully immersive VR on the gait biomechanics
Spatiotemporal gait parametershf The resulting LMM focusing on the effect of condi-
tion and group suggested that no significant interac-
tion effect between condition and group was found
for all spatiotemporal gait parameters (see Additional
file 1: Table S1 for all models). For cadence, stride time,
stance time (unaffected leg post-stroke), swing time
(unaffected leg post-stroke) and step width a main
effect of condition was found (Table 2). When walk-
ing with the immersive VR, people post-stroke walked
with a significantly slower cadence (MD -3.69strides/
min [− 6.22; − 1.15], p = 0.006), a longer stride time
(MD 0.10 s [0.02;0.18], p = 0.017) and stance time of the
unaffected leg (MD 1.47% [0.61;2.32], p = 0.001) and a
shorter swing time of the unaffected leg (MD -1.47%
[− 2.32; − 0.61], p = 0.001). The healthy controls signifi-
cantly reduced their step width when walking with the
VR (MD -1.93 cm [− 3.09; − 0.77], p = 0.002). To investigate the effect of the level of immersion dur-
ing walking with different optic flow speeds on the gait
biomechanics, the mean differences (MD) of three com-
parisons (pre–post manipulation, pre–mid trial, and
pre–end trial) of the GRAIL session were compared to
those obtained from the HMD session in both groups
with a paired sample t-test. For the sense of presence,
LMM were conducted with condition (GRAIL, HMD)
and group (post-stroke, healthy) as fixed factors, account-
ing for the within subject correlations. Models were build
using the AIC in SPSS. The within subject covariance was
unstructured. Subjects characteristics SPM two-way ANOVA analyses were performed on 15
subjects in each group, due to missing data of one per-
son in the stroke group (missing data was due to one
or more Vicon markers that fell off while walking). To
maintain equal group sizes, the healthy matched par-
ticipant was also removed. The SPM two-way ANOVA
revealed no significant interaction effect, nor a main
effect of condition (Additional file 1: Figs. S1 and S2). Sixteen people post-stroke and 16 age—and sex matched
healthy controls participated in this study. There were
no significant differences in baseline characteristics
observed between groups, with exception for the score
on the Beck Depression Inventory (BDI). People post-
stroke scored significantly higher on this questionnaire
(higher total scores indicate more severe depressive
symptoms) (Table 1). De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 7 of 18 Table 2 Effect of fully immersive virtual reality on the spatiotemporal gait parameters
Values are reported in mean with 95% confidence interval and MD (mean difference) with 95% confidence interval. VR virtual reality, %GC: percentage of gait cycle. ♦for the healthy participants the average of the left and right side is used. The asterisk indicates a significant difference
No VR
with VR
MD
No VR vs. Subjects characteristics VR
p value
Walking speed
(m/s)
Stroke
0.88 [0.72;1.04]
0.79 [0.66;0.93]
− 0.09 [− 0.19; 0.01]
0.085
Healthy
1.39 [1.24;1.55]
1.37 [1.23;1.50]
− 0.02 [− 0.13; 0.08]
0.625
Cadence
(strides/min)
Stroke
48.07 [44.04;52.09]
44.38 [40.63;48.14]
− 3.69 [− 6.22; − 1.15]
0.006*
Healthy
56.51 [52.61;60.41]
55.65 [52.01;59.28]
− 0.86 [− 3.32; 1.59]
0.477
Stride time
(sec)
Stroke
1.32 [1.20;1.44]
1.42 [1.30;1.54]
0.10 [0.02; 0.18]
0.017*
Healthy
1.07 [0.95;1.18]
1.08 [0.97;1.20]
0.02 [− 0.06; 0.10]
0.641
Step length affected♦
(cm)
Stroke
50.97 [46.11;55.82]
51.83 [47.37;56.29]
0.86 [− 2.84; 4.57]
0.637
Healthy
66.79 [62.09;71.49]
67.85 [63.53;72.16]
1.06 [− 2.53; 4.65]
0.551
Step length unaffected♦
(cm)
Stroke
49.82 [44.90;54.73]
49.29 [44.60;53.98]
− 0.53 [− 3.98; 2.93]
0.757
Healthy
66.79 [62.03;71.55]
67.85 [63.31;72.39]
1.06 [− 2.28; 4.41]
0.523
Stance time affected♦
(%GC)
Stroke
67.14 [65.62;68.67]
67.98 [66.77;69.18]
0.83 [− 0.26; 1.93]
0.132
Healthy
65.18 [63.71;66.66]
65.77 [64.61;66.94]
0.59 [− 0.48; 1.65]
0.268
Stance time unaffected♦
(%GC)
Stroke
69.85 [68.36;71.35]
71.32 [69.71;72.93]
1.47 [0.61; 2.32]
0.001*
Healthy
65.18 [63.73;66.63]
65.77 [64.21;67.33]
0.59 [− 0.24; 1.41]
0.156
Swing time affected♦
(%GC)
Stroke
32.86 [31.33;34.38]
32.02 [30.82;33.23]
− 0.83 [− 1.93; 0.26]
0.123
Healthy
34.82 [33.34;36.29]
34.23 [33.06;35.39]
− 0.59 [− 1.65; 0.48]
0.268
Swing time unaffected♦
(%GC)
Stroke
30.15 [28.65;31.64]
28.68 [27.07;30.29]
− 1.47 [− 2.32; − 0.61]
0.001*
Healthy
34.82 [33.37;36.27]
34.23 [32.67;35.79]
− 0.59 [− 1.41; 0.24]
0.156
Step width affected♦
(cm)
Stroke
18.08 [16.02;20.14]
17.11 [15.07;19.14]
− 0.97 [− 2.17; 0.23]
0.109
Healthy
14.03 [12.03;16.03]
12.10 [10.13;14.07]
− 1.93 [− 3.09; − 0.77]
0.002*
Step width unaffected♦
(cm)
Stroke
18.07 [15.98;20.16]
16.98 [14.93;19.03]
− 1.09 [− 2.31; 0.14]
0.080
Healthy
14.03 [12.01;16.05]
12.10 [10.11;14.09]
− 1.93 [− 3.12; − 0.74]
0.002* Table 2 Effect of fully immersive virtual reality on the spatiotemporal gait parameters Values are reported in mean with 95% confidence interval and MD (mean difference) with 95% confidence interval. VR virtual reality, %GC: percentage of gait cycle. ♦for the healthy participants the average of the left and right side is used. The asterisk indicates a significant difference Values are reported in mean with 95% confidence interval and MD (mean difference) with 95% confidence interval. VR vi
♦for the healthy participants the average of the left and right side is used. The asterisk indicates a significant difference Enjoyment Both groups indicated that they enjoyed walking on
the treadmill with VR more compared to walking on
the treadmill without VR as indicated by a significant
increase in VAS1 (Table 3). The difference between
groups was not significant. The stroke group would also
like to implement VR in their gait training as indicated
by a higher score on the VAS2 with VR compared to
without VR. Spatiotemporal gait parametersh The resulting LMM focusing on optic flow condi-
tion (matched, fast, slow), time (pre manipulation, post
manipulation, middle and end of the trial) and group
(post-stroke, healthy) suggested interactions between
condition and time with a main effect of group for step
length, stance and swing time (affected leg post-stroke)
and step width (see Additional file 1: Table S2 for all
models). A three-way interaction between optic flow
condition, time and group was suggested for walking
speed, cadence, stride time, stance and swing time (unaf-
fected leg post-stroke).l Table 4 shows the MD between optic flow condi-
tion, group and time for all spatiotemporal gait param-
eters. Significant interaction effects revealed that in both
groups, the slow and fast optic flow speed manipulation
led to significant changes in several spatiotemporal gait
parameters. Immediately after the fast optic flow manip-
ulation, both groups significantly decreased their walk-
ing speed (stroke: MD -0.10 m/s [− 0.16;-0.04], p < 0.001;
healthy: MD − 0.12 m/s [− 0.18; − 0.06], p < 0.001). This
decrease in walking speed was maintained over time in
the stroke group only (till mid trial). In the slow optic
flow condition, immediately after the manipulation
both groups significantly increased their walking speed
(stroke: MD 0.06 m/s [0.02;0.10], p < 0.001; healthy: MD
0.07 m/s [0.03;0.10], p < 0.001). This increase in walk-
ing speed was only maintained over time in the healthy
group.h Immediately after the slow OF manipulation, people
post-stroke had an increase in plantar flexion of 1.99° at
66% of the gait cycle, an increase in knee flexion of 1.07°
at 18% of the gait cycle, and an increase in hip flexion of
1.39° at 20% of the gait cycle (Fig. 4). At mid trial, healthy
people had an increase in dorsiflexion with a maximum
of 1.02° between 15 and 25% of the gait cycle, an increase
in knee flexion with a maximum of 2.18° between 6 and
21% and 65–69% of the gait cycle, and an increase in hip
flexion with a maximum of 2.48° between 0 and 25% and
87–100% of the gait cycle (Fig. 5). Spatiotemporal gait parametersh At the end of the trial,
healthy people had an increase in dorsiflexion with a
maximum of 3.62° between 17 and 24% and at 64% of the
gait cycle, an increase in knee flexion with a maximum of
2.61° between 56 – 70% of the gait cycle, and an increase
in hip flexion with a maximum of 3.03° between 0 and
24% and 92–100% of the gait cycle (Fig. 6). The decrease in walking speed of the stroke group
in the fast optic flow condition was accompanied by a
slower cadence, longer stride time, decreased step length
of the affected and unaffected leg and an increased
stance time and decreased swing time of the unaffected
leg. The decrease in walking speed of the healthy group
was accompanied by a slower cadence and decreased
step length. The increase in walking speed of the stroke
group in the slow condition was accompanied by a faster
cadence, shorter stride time, increased step length of
the affected and unaffected leg and a decreased stance
time and increased swing time of the unaffected leg. The increase in walking speed of the healthy group was
accompanied by a faster cadence and increased step
length. Effect of level of immersion during walking with different
optic flow speeds The effect of the level of immersion on the gait biome-
chanics was only investigated in the spatiotemporal gait
parameters since optic flow speed had no or only a very
limited effect on the lower limb kinematics. In both ses-
sions, the kinematic changes were very small and did not
reach the minimal clinical important difference and are
therefore not considered clinically relevant [31, 32]. Table 5 shows the MD between the fast and slow optic
flow condition, group and time for both sessions for the
most relevant spatiotemporal gait parameters. Both in
people post-stroke and healthy people, manipulating
the optic flow speed in the fully immersive HMD had a
greater effect on spatiotemporal gait parameters com-
pared to the semi-immersive GRAIL system. The most Simulator sickness Only the stroke group had a significant increase in
the SSQ after walking with the VR, from 4.68(± 7.03)
points to 11.69(± 11.97) points (MD 7.01(± 6.53) points,
p = 0.003). The healthy group had a non-significant
increase from 1.17(± 2.25) points to 2.10(± 3.04) points
(MD 0.94(± 2.55) points, p = 0.157). The difference
between groups was significant (p = 0.003). Table 3 Results of the two Visual Analogue Scales
Values are reported in mean with SD and MD (mean difference) with SD. VAS1: How much did you enjoy walking on the treadmill under these conditions? VAS2: Would
you like to do this type of gait training during your rehabilitation (people post-stroke only)? The asterisk indicates a significant difference
No VR
With VR
MD
Within group
p-value
Between group
p-value
VAS1 (/10)
Stroke
4.99(± 2.01)
6.76(± 2.73)
1.77(± 2.32)
0.010*
0.395
Healthy
6.11(± 2.23)
7.11(± 2.14)
1.01(± 1.57)
0.005*
VAS2 (/10)
Stroke
6.47(± 2.49)
7.90(± 1.90)
1.43(± 2.04)
0.015*
– Table 3 Results of the two Visual Analogue Scales Values are reported in mean with SD and MD (mean difference) with SD. VAS1: How much did you enjoy walking on the treadmill under these conditions? VAS2: Would
you like to do this type of gait training during your rehabilitation (people post-stroke only)? The asterisk indicates a significant difference Page 8 of 18 De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Effect of optic flow speed manipulation on the gait
biomechanics participants were removed from the analyses. The SPM
analyses revealed a significant interaction effect in the
matched condition for the unaffected ankle and knee
joint, in the fast condition for the ankle (both affected
and unaffected) and affected hip joint, and in the slow
condition for the ankle (both affected and unaffected)
and unaffected knee joint. A significant main effect of
time was found for the ankle and hip (both affected and
unaffected side post-stroke) in the matched and fast
condition and for the ankle, knee and hip (both affected
and unaffected side post-stroke) in the slow condition
(Additional file 1: Fig. S3 through 8). In the post-hoc SPM
t-tests, the critical thresholds were only exceeded in the
slow condition for the ankle, knee and hip joint in both
groups (unaffected side post-stroke) when comparing pre
and post manipulation (people post-stroke), pre manipu-
lation and mid trial (healthy group), and pre manipula-
tion and end trial (healthy group). Kinematicsh The SPM two-way repeated measures ANOVA was per-
formed on 11 subjects in each group due to missing data
(4 healthy participant, 1 stroke patient, missing data
was due to one or more Vicon markers that fell off while
walking). To maintain equal group sizes, the matched De Keersmaecker et al. Kinematicsh Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 9 of 18 Table 4 Effect of optic flow speed on the spatiotemporal gait parameters
Condition
Group
Time point
Walking speed (m/s)
Cadence (stride/min)
Stride time (s)
Step length (cm)
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
Affected leg
Unaffected leg
Matched optic flow
Stroke
Pre
Post
0.03
[0.00;0.06]
.081
0.21
[-0.44;0.87]
1.000
-0.01
[-0.03;0.01]
1.000
1.33
[-0.32;2.97]
.185
1.61
[-0.29;3.51]
.138
Mid
0.04
[− 0.06;0.14]
1.000
0.56
[− 0.96;2.09]
1.000
− 0.02
[− 0.06;0.02]
1.000
2.02
[− 1.44;5.48]
.662
2.34
[− 1.29;5.97]
.478
End
− 0.05
[− 0.14;0.04]
.812
− 1.28
[− 2.61;0.05]
.066
0.05
[0.01;0.09]
.011*
0.08
[− 2.64;2.81]
1.000
0.46
[− 2.80;3.73]
1.000
Healthy
Pre
Post
0.02
[− 0.01;0.05]
.270
0.06
[− 0.60;0.71]
1.000
0.00
[− 0.02;0.02]
1.000
1.16
[− 0.49;2.81]
.335
1.16
[− 0.73;3.06]
.566
Mid
0.09
[− 0.01;0.19]
.091
1.32
[− 0.21;2.84]
.125
− 0.03
[− 0.07;0.02]
.557
2.67
[− 0.79;6.13]
.227
2.67
[− 0.96;6.30]
.282
End
0.06
[− 0.03;0.15]
.458
1.01
[− 0.33;2.35]
.247
− 0.02
[− 0.06;0.02]
.916
2.19
[− 0.53;4.92]
.184
2.13
[− 1.14;5.40]
.460
Fast optic flow
Stroke
Pre
Post
− 0.10
[− 0.16;− 0.04]
< .001*
− 2.41
[− 3.58;− 1.23]
< .001*
0.10
[0.04;0.16]
< .001*
− 4.58
[− 7.29;− 1.87]
< .001*
− 5.01
[− 7.99;− 2.02]
< .001*
Mid
− 0.08
[− 0.16;0.00]
.037*
− 2.12
[− 3.96;− 0.29]
.016*
0.08
[0.01;0.14]
.011*
− 2.13
[− 4.66;0.39]
.142
− 2.50
[− 5.19;0.18]
.079
End
− 0.07
[− 0.19;0.04]
.512
− 2.57
[− 4.63;− 0.51]
.008*
0.13
[− 0.02;0.29]
.127
− 2.41
[− 6.21;1.38]
.498
− 2.47
[− 6.82;1.88]
.715
Healthy
Pre
Post
− 0.12
[− 0.18;− 0.06]
< .001*
− 1.41
[− 2.58;− 0.24[
.012*
0.04
[− 0.02;0.10]
.574
− 4.37
[− 7.08;− 1.66]
< .001*
− 4.37
[− 7.35;− 1.39]
.001*
Mid
− 0.01
[− 0.09;0.07]
1.000
− 0.32
[− 2.18;1.53]
1.000
0.01
[− 0.05;0.07]
1.000
− 0.16
[− 2.73;2.40]
1.000
− 0.11
[− 2.83;2.61]
1.000
End
− 0.10
[− 0.21;0.02]
.155
− 0.89
[− 2.98;1.21]
1.000
0.02
[− 0.13;0.17]
1.000
− 1.30
[− 5.18;2.58]
1.000
− 1.30
[− 5.72;3.11]
1.000
Slow optic flow
Stroke
Pre
Post
0.06
[0.02;0.10]
< .001*
1.44
[0.66;2.21]
< .001*
− 0.05
[− 0.08;− 0.02]
< .001*
2.27
[0.80;3.74]
< .001*
2.40
[0.61;4.19]
.004*
Mid
0.08
[0.00;0.15]
.053
1.35
[− 0.40;3.10]
.219
− 0.03
[− 0.11;0.05]
1.000
1.78
[− 0.76;4.33]
.344
1.67
[− 1.66;5.00]
1.000
End
0.08
[− 0.02;0.18]
.204
1.05
[− 1.26;3.35]
1.000
− 0.03
[− 0.10;0.05]
1.000
1.73
[− 1.70;5.17]
.952
1.93
[− 1.53;5.39]
.734
Healthy
Pre
Post
0.07
[0.03;0.10]
< .001*
1.15
[0.37;1.93]
.001*
− 0.02
[− 0.05;0.01]
.310
1.69
[0.22;3.16]
.017*
1.69
[− 0.10;3.48]
.074
Mid
0.15
[0.07;0.23]
< .001*
2.42
[0.70;4.14]
.003*
− 0.05
[− 0.13;0.03]
.621
3.99
[1.49;6.50]
< .001*
3.99
[0.71;7.28]
.011* De Keersmaecker et al. Kinematicsh Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 10 of 18 Table 4 (continued)
Condition
Group
Time point
Walking speed (m/s)
Cadence (stride/min)
Stride time (s)
Step length (cm)
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
Affected leg
Unaffected leg
End
0.16
[0.05;0.26]
.001*
2.92
[0.61;5.23]
.007*
− 0.06
[− 0.13,0.02]
.262
4.69
[1.26;8.11]
.001*
4.59
[1.13;8.05]
.005*
Condition
Group
Time
point
Stance time (% gait cycle)
Swing time (% gait cycle)
Step width (cm)
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
Affected leg
Unaffected leg
Affected leg
Unaffected leg
Affected leg
Unaffected leg
Matched optic flow
Stroke
Pre
Post
− 0.28
[− 0.62;0.07]
.189
− 0.19
[− 0.51;0.13]
.603
0.28
[− 0.07;0.62]
.189
0.19
[− 0.13;0.51]
.603
0.03
[− 0.57;0.64]
1.000
0.00
[− 0.60;0.60]
1.000
Mid
− 0.43
[− 1.05;0.18]
.336
− 0.40
[− 1.09;0.28]
.652
0.43
[− 0.18;1.05]
.336
0.40
[− 0.28;1.09]
.652
0.33
[− 0.28;0.94]
.812
0.34
[− 0.24;0.92]
.651
End
0.21
[− 0.52;0.94]
1.000
0.21
[− 0.36;0.77]
1.000
− 0.21
[− 0.94;0.52]
1.000
− 0.21
[− 0.77;0.36]
1.000
0.43
[− 0.27;1.14]
.554
0.36
[− 0.38;1.10]
1.000
Healthy
Pre
Post
− 0.15
[− 0.50;0.19]
1.000
− 0.15
[− 0.47;0.17]
1.000
0.15
[− 0.19;0.50]
1.000
0.15
[− 0.17;0.47]
1.000
0.06
[− 0.55;0.66]
1.000
0.06
[− 0.54;0.66]
1.000
Mid
− 0.34
[− 0.96;0.27]
.747
− 0.34
[− 1.03;0.35]
1.000
0.34
[− 0.27;0.96]
.747
0.34
[− 0.35;1.03]
1.000
0.15
[− 0.46;0.76]
1.000
0.15
[− 0.44;0.73]
1.000
End
− 0.27
[− 1.00;0.46]
1.000
− 0.27
[− 0.84;0.30]
1.000
0.27
[− 0.46;1.00]
1.000
0.27
[− 0.30;0.84]
1.000
0.31
[− 0.39;1.02]
1.000
0.32
[− 0.42;1.06]
1.000
Fast optic flow
Stroke
Pre
Post
0.53
[− 0.67;1.72]
1.000
1.46
[0.57;2.35]
< .001*
− 0.53
[− 1.72;0.67]
1.000
− 1.46
[− 2.35;− 0.57]
< .001*
− 0.59
[− 1.28;0.10]
.132
− 0.56
[− 1.32;0.20]
.285
Mid
0.83
[0.09;1.56]
.020*
0.83
[0.28;1.37]
< .001*
− 0.83
[− 1.56,− 0.09]
.020*
− 0.83
[− 1.37;− 0.28]
< .001*
− 0.29
[− 0.94;0.36]
1.000
− 0.18
[− 0.86;0.50]
1.000
End
0.95
[− 0.16;2.05]
.133
1.11
[0.21;2.01]
.010*
− 0.95
[− 2.05;0.16]
.133
− 1.11
[− 2.01;0.21]
.010*
0.06
[− 0.82;0.95]
1.000
0.06
[− 0.80;0.92]
1.000
Healthy
Pre
Post
0.82
[− 0.38;2.01]
.383
0.82
[− 0.07;1.71]
.088
− 0.82
[− 2.01;0.38]
.383
− 0.82
[− 1.71;0.07]
.088
0.46
[− 0.23;1.15]
.430
0.46
[− 0.30;1.22]
.606
Mid
0.16
[− 0.59;0.90]
1.000
0.16
[− 0.39;0.71]
1.000
− 0.16
[− 0.90;0.59]
1.000
− 0.16
[− 0.71;0.39]
1.000
0.38
[− 0.27;1.04]
.650
0.39
[− 0.30;1.07]
.746
End
0.37
[− 0.75;1.49]
1.000
0.39
[− 0.53;1.31]
1.000
-0.37
[− 1.49;0.75]
1.000
− 0.39
[− 1.31;0.53]
1.000
0.60
[− 0.32;1.51]
.452
0.58
[− 0.30.1.74]
.443 De Keersmaecker et al. Kinematicsh Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 11 of 18 Table 4 (continued)
Condition
Group
Time
point
Stance time (% gait cycle)
Swing time (% gait cycle)
Step width (cm)
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
MD
[95% CI]
p-value
Affected leg
Unaffected leg
Affected leg
Unaffected leg
Affected leg
Unaffected leg
Slow optic flow
Stroke
Pre
Post
− 0.36
[− 0.90;0.18]
.421
− 0.84
[− 1.30;− 0.38]
< .001*
0.36
[− 0.18;0.90]
.421
0.84
[0.38;1.30]
< .001*
0.44
[− 0.26;1.14]
.523
0.40
[− 0.28;1.09]
.647
Mid
− 0.32
[− 1.67;1.03]
1.000
− 0.63
[− 1.44;0.19]
.224
0.32
[− 1.03;1.67]
1.000
0.63
[− 0.19;1.44]
.224
0.21
[− 0.64;1.06]
1.000
0.14
[− 0.68;0.97]
1.000
End
0.05
[− 1.26;1.37]
1.000
− 0.74
[− 1.53;0.04]
.073
− 0.05
[− 1.37;1.26]
1.000
0.74
[− 0.04;1.53]
.073
0.57
[− 0.02;1.17]
.067
0.61
[0.02;1.21]
.042*
Healthy
Pre
Post
− 0.33
[− 0.88;0.21]
.552
− 0.33
[− 0.79;0.12]
.294
0.33
[− 0.21;0.88]
.552
0.33
[− 0.12;0.79]
.294
0.09
[− 0.60;0.79]
1.000
0.09
[− 0.59;0.78]
1.000
Mid
− 0.70
[− 2.04;0.64]
.860
− 0.70
[− 1.51;0.11]
.122
0.70
[− 0.64;2.04]
.860
0.70
[− 0.11;1.51]
.122
0.29
[− 0.55;1.13]
1.000
0.29
[− 0.53;1.10]
1.000
End
− 0.82
[− 2.13;0.49]
.508
− 0.82
[− 1.60;− 0.03]
.037*
0.82
[− 0.49;2.13]
.508
0.82
[0.03;1.60]
.037*
0.43
[− 0.17;1.02]
.313
0.42
[− 0.18;1.01]
.337
Values are reported in MD (mean difference) and 95%CI (95% confidence interval). The asterisk indicates a significant difference Page 12 of 18
De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 12 of 18 Fig. 4 Results of the post-hoc analyses, paired sample t-test for the slow condition (pre vs. post manipulation) in the stroke group (unaffected
side). Horizontal axis is percentage gait cycle. First row is mean joint angles ± 1 standard deviation for people post-stroke pre manipulation (green)
and post manipulation (blue). Second row shows SPM(t) value throughout the gait cycle. The dashed red line is equivalent to α = 0.02. Third row
shows mean difference with 95% confidence interval between pre and post manipulation Fig. 4 Results of the post-hoc analyses, paired sample t-test for the slow condition (pre vs. post manipulation) in the stroke group (unaffected
side). Horizontal axis is percentage gait cycle. Walking with immersive VR Results of this study demonstrated that immersive VR-
enhanced treadmill walking with the use of a HMD was
accepted by people post-stroke and healthy people. All
participants were able to complete all walking trials with-
out having any signs of severe simulator sickness, as indi-
cated by the low total scores on the SSQ in both groups. People post-stroke also reported that they liked walking
with the VR more than without and would like to imple-
ment VR-enhanced treadmill walking in their gait reha-
bilitation. These results are in line with recent studies
examining the potential of immersive VR for the rehabili-
tation of neurological patients [33, 34]. Discussion prominent differences were found for walking speed and
step length (both affected and unaffected leg post-stroke). With the slow optic flow speed, both groups increased
their walking speed and step length more with the fully
immersive HMD compared to the semi-immersive
GRAIL system. The opposite was seen with the fast optic
flow speed, where both groups decreased there walking
speed and step length more when the optic flow speed
was manipulated with the fully immersive HMD. Results
for all optic flow conditions and all spatiotemporal gait
parameters can be found in Additional file 1: Table S3. Kinematicsh First row is mean joint angles ± 1 standard deviation for people post-stroke pre manipulation (green)
and post manipulation (blue). Second row shows SPM(t) value throughout the gait cycle. The dashed red line is equivalent to α = 0.02. Third row
shows mean difference with 95% confidence interval between pre and post manipulation Sense of presence
T bl
h
h Table 6 shows the mean and SD of the IPQ subscales
for each group and condition. Additional file 1: Table S4
shows the results of the LMM. The LMM for the general
item only revealed a main effect of condition and sug-
gested that in both groups, the fully immersive HMD
resulted in a significantly higher feeling of being there
than the semi-immersive GRAIL screen (MD 0.92 points,
p = 0.004). The LMM for the subscales spatial presence
and involvement also revealed a significant main effect of
condition and suggested that in both groups, the HMD
resulted in a significantly higher spatial presence (MD
0.58 points, p < 0.001) and higher involvement (MD 0.98
points, p < 0.001). The LMM for the subscale experienced
realism revealed no main effects. The recent study of Winter et al. (2021) reported
an increase in walking speed when walking with fully
immersive VR compared to walking with no VR in
healthy individuals, individuals post-stroke, and individ-
uals with multiple sclerosis [33]. Participants walked in a
virtual environment that was designed to increase their
motivation during training and consisted of an engag-
ing storyline with the implementation of gamification
elements (i.e. rebuilding a virtual world by walking on
a path). This is in contrast with the virtual environment
used in our study, where participants walked forward in
an endless city street with no gaming elements. We found
that when people post-stroke walked with the HMD, they Page 13 of 18
De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 13 of 18 Fig. 5 Results of the post-hoc analyses, paired sample t-test for the slow condition (pre manipulation vs. mid trial) in the healthy group. Horizontal
axis is percentage gait cycle. First row is mean joint angles ± 1 standard deviation for heathy people pre manipulation (green) and mid trial (blue). Second row shows SPM(t) value throughout the gait cycle. The dashed red line is equivalent to α = 0.02. Third row shows mean difference with 95%
confidence interval between pre manipulation and mid trial Fig. 5 Results of the post-hoc analyses, paired sample t-test for the slow condition (pre manipulation vs. mid trial) in the healthy group. Horizontal
axis is percentage gait cycle. Sense of presence
T bl
h
h First row is mean joint angles ± 1 standard deviation for heathy people pre manipulation (green) and mid trial (blue). Second row shows SPM(t) value throughout the gait cycle. The dashed red line is equivalent to α = 0.02. Third row shows mean difference with 95%
confidence interval between pre manipulation and mid trial Fig. 6 Results of the post-hoc analyses, paired sample t-test for the slow condition (pre manipulation vs. end trial) in the healthy group. Horizontal
axis is percentage gait cycle. First row is mean joint angles ± 1 standard deviation for heathy people pre manipulation (green) and end trial (blue). Second row shows SPM(t) value throughout the gait cycle. The dashed red line is equivalent to α = 0.02. Third row shows mean difference with 95%
confidence interval between pre manipulation and end trial Fig. 6 Results of the post-hoc analyses, paired sample t-test for the slow condition (pre manipulation vs. end trial) in the healthy group. Horizontal
axis is percentage gait cycle. First row is mean joint angles ± 1 standard deviation for heathy people pre manipulation (green) and end trial (blue). Second row shows SPM(t) value throughout the gait cycle. The dashed red line is equivalent to α = 0.02. Third row shows mean difference with 95%
confidence interval between pre manipulation and end trial De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 14 of 18 Table 5 Effect of the level of immersion on the spatiotemporal gait parameters
Gait parameter
Group
Condition
Time point
N
GRAIL
MD (SD)
HMD
MD (SD)
GRAIL vs. Optic flow speed manipulation This might be explained by the difference in
the type of virtual environment (engaging storyline with
gaming elements versus an endless city street without
gaming elements), but perhaps also by the difference in
the type of treadmill system. In the study of Winter et al. the speed was changed manually by the participants
with the use of buttons on the handles. This difference
in regulation (top-down versus bottom-up) may result
in different responses. Lastly, it must also be noted that
prior to this study, patients were not familiar with fully
immersive VR-enhanced treadmill walking and changes
in spatiotemporal gait parameters may be attributed
to a more cautious gait pattern. It is very likely that this
more cautious gait pattern will diminish when patients
are more acquainted with the HMD. Nonetheless, these
results highlight the need to incorporate valuable prin-
ciples (such as performance feedback, gaming elements
or competition) in the virtual environment to influence a
person’s gait pattern. More research about implementing
such valuable principles in the virtual environment that walked with a slower cadence, a longer stride time, and a
longer stance and shorter swing time of the unaffected leg
compared to walking without VR. This contrasts with the
increased walking speed reported in the study of Winter
et al. (2021). This might be explained by the difference in
the type of virtual environment (engaging storyline with
gaming elements versus an endless city street without
gaming elements), but perhaps also by the difference in
the type of treadmill system. In the study of Winter et al. the speed was changed manually by the participants
with the use of buttons on the handles. This difference
in regulation (top-down versus bottom-up) may result
in different responses. Lastly, it must also be noted that
prior to this study, patients were not familiar with fully
immersive VR-enhanced treadmill walking and changes
in spatiotemporal gait parameters may be attributed
to a more cautious gait pattern. It is very likely that this
more cautious gait pattern will diminish when patients
are more acquainted with the HMD. Nonetheless, these
results highlight the need to incorporate valuable prin-
ciples (such as performance feedback, gaming elements
or competition) in the virtual environment to influence a
person’s gait pattern. More research about implementing
such valuable principles in the virtual environment that f
The choice for a constant one-time speed manipulation
was based on existing literature [14, 15, 17, 18]. Sense of presence
T bl
h
h Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 15 of 18 Table 5 (continued)
Gait parameter
Group
Condition
Time point
N
GRAIL
MD (SD)
HMD
MD (SD)
GRAIL vs. HMD
p-value
Mid
15
0.36 (2.98)
− 0.16 (2.75)
0.552
End
14
0.69 (2.91)
− 1.74 (4.54)
0.039*
Slow
Pre
Post
15
1.40 (1.52)
1.74 (2.35)
0.616
Mid
15
1.84 (2.12)
4.09 (2.40)
0.010*
End
14
1.57 (1.77)
5.14 (2.72)
< 0.001*
Values are reported in MD (mean difference) and SD (standard deviation). GRAIL Gait Real-time Interactive Lab, HMD head-mounted display. The asterisk indicates a
significant difference could positively influence the gait pattern of people post-
stroke and could be used during gait training is needed. Table 6 Results of the igroup presence questionnaire
Values are reported in mean and SD (standard deviation). IPQ: Igroup Presence
Questionnaire, GRAIL: Gait Real-time Interactive Lab, HMD: head-mounted
display
IPQ subscale
Condition
Stroke
Healthy
GRAIL vs. HMD
Mean (SD)
Mean (SD)
p-value
General item
GRAIL
3.27 (1.39)
2.94 (1.77)
0.004
HMD
3.94 (1.48)
4.06 (1.34)
Spatial pres‑
ence
GRAIL
3.16 (0.62)
3.09 (0.80)
< 0.001
HMD
4.00 (0.54)
3.46 (0.75)
Involvement
GRAIL
2.70 (1.62)
2.50 (1.43)
< 0.001
HMD
3.78 (1.39)
3.36 (1.18)
Realness
GRAIL
2.35 (1.34)
1.86 (1.01)
0.053
HMD
2.56 (1.44)
2.26 (1.15) Table 6 Results of the igroup presence questionnaire Sense of presence
T bl
h
h HM
p-value
Walking speed (m/s)
Stroke
Fast
Pre
Post
16
− 0.01 (0.08)
− 0.10 (0.07)
0.001*
Mid
16
− 0.01 (0.11)
− 0.08 (0.14)
0.058
End
16
− 0.01 (0.12)
− 0.07 (0.12)
0.018*
Slow
Pre
Post
16
0.00 (0.05)
0.06 (0.05)
0.005*
Mid
16
0.00 (0.06)
0.08 (0.13)
0.087
End
16
0.01 (0.04)
0.08 (0.15)
0.088
Healthy
Fast
Pre
Post
16
− 0.04 (0.03)
− 0.12 (0.10)
0.013*
Mid
16
0.01 (0.07)
− 0.01 (0.09)
0.410
End
16
0.01 (0.08)
− 0.10 (0.21)
0.043*
Slow
Pre
Post
16
− 0.01 (0.03)
0.07 (0.06)
< 0.001*
Mid
16
0.01 (0.04)
0.15 (0.09)
< 0.001*
End
16
0.01 (0.03)
0.18 (0.11)
< 0.001*
Cadence (stride/min)
Stroke
Fast
Pre
Post
16
− 1.02 (1.59)
− 2.41 (1.79)
0.841
Mid
16
− 0.88 (2.55)
− 2.12 (3.32)
0.051
End
15
− 1.07 (2.61)
− 2.66 (3.74)
0.001*
Slow
Pre
Post
16
1.18 (1.27)
1.44 (1.40)
0.377
Mid
15
1.10 (2.81)
1.13 (3.00)
0.393
End
14
1.23 (2.58)
0.66 (4.50)
0.077
Healthy
Fast
Pre
Post
16
− 0.38 (0.44)
− 1.41 (1.85)
0.030*
Mid
15
− 0.03 (0.95)
− 0.41 (1.85)
0.302
End
13
− 0.04 (1.08)
− 0.76 (2.29)
0.143
Slow
Pre
Post
15
0.65 (0.63)
1.16 (0.83)
0.068
Mid
15
0.88 (0.93)
2.35 (1.80)
0.008*
End
14
1.13 (1.61)
2.93 (2.26)
0.017*
Stride time (s)
Stroke
Fast
Pre
Post
16
0.03 (0.05)
0.10 (0.11)
0.030*
Mid
16
0.03 (0.09)
0.08 (0.12)
0.083
End
15
0.03 (0.10)
0.14 (0.32)
0.127
Slow
Pre
Post
16
− 0.04 (0.12)
− 0.05 (0.06)
0.581
Mid
15
− 0.04 (0.12)
− 0.01 (0.15)
0.642
End
14
− 0.05 (0.11)
− 0.02 (0.16)
0.446
Healthy
Fast
Pre
Post
16
0.01 (0.01)
0.04 (0.05)
0.050
Mid
15
0.00 (0.02)
0.01 (0.04)
0.219
End
13
0.00 (0.02)
0.02 (0.05)
0.107
Slow
Pre
Post
15
− 0.01 (0.01)
− 0.02 (0.02)
0.030*
Mid
15
− 0.02 (0.02)
− 0.05 (0.04)
0.009*
End
14
− 0.02 (0.03)
− 0.06 (0.05)
0.020*
Step length (cm)
Affected leg
Stroke
Fast
Pre
Post
16
0.43 (3.55)
− 4.58 (4.30)
< 0.001*
Mid
16
1.20 (5.17)
− 2.13 (4.46)
0.030*
End
15
2.36 (5.54)
− 2.60 (6.55)
0.006*
Slow
Pre
Post
16
2.09 (1.71)
2.27 (2.03)
0.813
Mid
15
2.68 (5.21)
1.93 (4.71)
0.729
End
13
2.51 (3.77)
2.89 (5.74)
0.827
Step length (cm)
Unaffected leg
Stroke
Fast
Pre
Post
16
0.42 (3.84)
− 5.01 (5.02)
0.001*
Mid
16
− 0.02 (4.99)
− 2.50 (4.84)
0.099
End
15
0.57 (7.47)
− 2.71 (8.01)
0.141
Slow
Pre
Post
16
1.79 (3.57)
2.40 (2.94)
0.646
Mid
15
3.10 (9.15)
1.95 (6.43)
0.726
End
13
3.23 (8.39)
3.12 (5.21)
0.967
Healthy
Fast
Pre
Post
16
− 1.55 (1.35)
− 4.37 (3.63)
0.011* Table 5 Effect of the level of immersion on the spatiotemporal gait parameters De Keersmaecker et al. Optic flow speed manipulation Both groups responded to the optic flow speed manipu-
lation by adjusting their spatiotemporal gait parameters. However, relatively small changes in spatiotemporal gait
parameters were reported. The changes in the lower
limb joint kinematics were too small to be of any clini-
cal value [31, 32]. Both people post-stroke and healthy
controls increased their walking speed with a slow optic
flow speed and decreased their walking speed with a fast
optic flow speed. However, only the decrease in walking
speed with the fast optic flow speed reached the minimal
clinically important difference of 0.10 m/s [35]. Improv-
ing patients’ walking speed is an important therapeutic
outcome and is often a goal of post-stroke rehabilita-
tion [6]. The fact that also the stroke group responded to
the optic flow speed manipulation and showed altera-
tions in their gait pattern, provides a rationale to incor-
porate such manipulations in a VR-enhanced training
to promote faster walking speeds. The increased walk-
ing speed in people post-stroke was accompanied by a
faster cadence and longer step length of both the affected
and unaffected leg. However, it must be noted that the
increase in walking speed was only maintained over time
by the healthy group and not by the people post-stroke. This may indicate that in people post-stroke, the effect of
a single manipulation is rather short lasting and may not
be sufficient to influence their locomotion. Therefore, it
is advisable to further explore the effect of different types
of optic flow speed manipulations, such as multiple inter-
mittent manipulations of a constant optic flow speed over
a longer period. Before optic flow speed manipulations
can be implemented in such a training, further work is
needed to determine the most optimal type of optic flow
speed manipulation as well as to investigate the carry-
over effects to overground walking.h Values are reported in mean and SD (standard deviation). IPQ: Igroup Presence
Questionnaire, GRAIL: Gait Real-time Interactive Lab, HMD: head-mounted
display Values are reported in mean and SD (standard deviation). IPQ: Igroup Presence
Questionnaire, GRAIL: Gait Real-time Interactive Lab, HMD: head-mounted
display walked with a slower cadence, a longer stride time, and a
longer stance and shorter swing time of the unaffected leg
compared to walking without VR. This contrasts with the
increased walking speed reported in the study of Winter
et al. (2021). Optic flow speed manipulation Based on De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 16 of 18 Page 16 of 18 the results of the study of Lamontagne et al. (2007), it is
suggested that for people post-stroke constant optic flow
speeds are easier to perceive and to integrate than con-
tinuously changing optic flow speeds (e.g. sinusoidally
patterns of optic flow speed) and could therefore elicit a
greater effect on patient’s gait pattern [13]. The one-time
manipulation in our study lasted for 7 min, which was
longer than most previous studies investigating constant
optic flow speed manipulations [15, 17, 18]. Our results
stipulated that in people post-stroke, there were mainly
changes in spatiotemporal gait parameters immediately
after the manipulation, by mid or end trial (respectively
3 or 6 min after the manipulation) these changes were no
longer visible. It is therefore suggested that the effect of
a one-time optic flow speed manipulation is rather short
lasting. More research about different types of manipu-
lations, such as multiple intermittent manipulations of a
constant optic flow speed over a longer period of time, is
therefore needed. semi-immersive GRAIL projection screen, participants
were still aware of their real environment and thus also
of the real optic flow. Furthermore, during the GRAIL
session, people also had more visual information because
they could look down while walking. It was only dur-
ing the HMD session that participants were completely
immersed in the virtual environment. It is likely that the
optic flow speed manipulations were much more notice-
able for the participants when walking with the HMD,
which could explain its greater effect on locomotion. These results are promising and support the use of more
immersive VR devices for rehabilitation.h This study is an initial step to establish fully immersive
VR-enhanced treadmill training for people post-stroke. Fully immersive VR devices are still not widely used for
rehabilitation today, despite their advantages over less
immersive VR systems. Compared to the GRAIL system,
the HMD has some important assets: the HMD is a much
more affordable system and requires much less space
when combined with treadmill walking, making the
HMD more suitable to implement in rehabilitation – or
even home settings. To date, limited studies investigated
long-term fully immersive VR interventions. Semi‑immersive vs. fully immersive VRhi This is the first study to examine the effect of immersion
on sense of presence and during walking with different
optic flow speeds by providing a direct comparison of
manipulating the optic flow speed in a semi-immersive
(GRAIL) and fully immersive (HMD) virtual environ-
ment. As hypothesized, both groups reported a higher
sense of presence when the virtual environment was pre-
sented via the HMD, compared to the semi-immersive
GRAIL projection screen. Manipulating the optic flow
speed in the fully immersive virtual environment also
had a larger effect on the spatiotemporal gait param-
eters compared to the semi-immersive virtual environ-
ment. While walking on the self-paced treadmill with the Optic flow speed manipulation Therefore,
in the future it will be important to also investigate the
long-term effect of fully immersive VR interventions for
stroke rehabilitation.hhi Other factors that could have influenced the current
results and should be investigated in future studies are
stroke severity, stroke onset and stroke location. People
post-stroke included in this study were all chronic, ambu-
latory stroke patients who could walk independently, but
still experienced some difficulties with stairs or uneven
surfaces. The average time post-stroke was 44.24 months
but ranged from 3.4 months to 202.5 months (16.8 years). An important limitation of our study is that we did not
include the stroke location as a patient characteristic. There is a complex cortical network that is responsible
for the perception and use of optic flow during locomo-
tion and involves several visual, multisensory and vestib-
ular areas [36]. When the stroke is located in one of these
brain areas, the perception and use of optic flow can be
affected and patients could react differently on the optic
flow speed manipulations [10]. It is therefore advisable
for future research to include specific information about
the stroke location as a patient characteristic. This study also included some limitations. The first
limitation is the limited inventoried patients’ character-
istics included in the study. An important characteristic
that was not included as a baseline characteristic is par-
ticipants’ degree of visual dependency. Controlling our
locomotion is a complex task and involves the integra-
tion of visual, vestibular, and proprioceptive information. People do not always rely equally on these three sources
of information to control their locomotion. For example,
it is possible that people have changed their weighting of
vision and become more or less visual dependent which
could influence their response to optic flow speed manip-
ulations. A second limitation is related to the specific
inclusion criteria. Therefore, results apply only to the
population studied and are not generalizable to all people
post-stroke. Lastly, to investigate the effect of patients’
characteristics that could influence the perception of the
optic flow (such as visual dependency), a larger sample
size is needed. Funding The authors disclosed receipt of the following financial support for the
research, authorship, and/or publication of this article: E.D.K. is a Strategic
Basic Research fellow funded by the Research Foundation – Flanders (FWO)
[1S58419N]. Availability of data and materials The datasets generated and/or analyzed during the current study are available
from the corresponding author on reasonable request. Conclusionh This study demonstrated that adding fully immersive VR
while walking on a self-paced treadmill influenced the
gait pattern of people post-stroke and led to a slightly
more cautious gait pattern. However, walking with the
HMD was well tolerated and enjoyable. Manipulat-
ing the optic flow speed in a fully immersive virtual De Keersmaecker et al. Journal of NeuroEngineering and Rehabilitation (2023) 20:124 Page 17 of 18 environment mainly influenced the spatiotemporal gait
parameters of people post-stroke and healthy people. A
negative relationship between optic flow speed and walk-
ing speed was observed in both groups, meaning that
people walked faster with a slower optic flow speed and
slower with a faster optic flow speed. Manipulating the
optic flow speed in a fully immersive virtual environment
had a greater effect on spatiotemporal gait parameters
compared to the semi-immersive virtual environment
and elicited a greater sense of presence. Further work is
needed to determine the most optimal type of optic flow
speed manipulation as well as which other principles
need to be implemented to positively influence the gait
pattern of people post-stroke. Acknowledgements
h
h
ld l k The authors would like to thank the participants for taking part in this trial,
Smart Space lab for letting us use the GRAIL system and the Support for
Quantitative and Qualitative Research (SQUARE) of the Vrije Universiteit Brussel
for their support with the data analysis. 6. Dobkin BH. Clinical practice. Rehabilitation after stroke (in eng). N Engl J
Med. 2005;352(16):1677–84. https://doi.org/10.1056/NEJMcp043511. 7. Beyaert C, Vasa R, Frykberg GE. Gait post-stroke: Pathophysiology and
rehabilitation strategies (in eng). Neurophysiol Clin. 2015;45(4–5):335–55. https://doi.org/10.1016/j.neucli.2015.09.005. Author details 2-way repeated measures ANOVA SPM
analyses matched condition (affected side post stroke). Figure S4. 2-way
repeated measures ANOVA SPM analyses fast condition (affected side post
stroke). Figure S5. 2-way repeated measures ANOVA SPM analyses slow
condition (affected side post stroke). Figure S6: 2-way repeated measures
ANOVA SPM analyses matched condition (unaffected side post stroke). Figure S7. 2-way repeated measures ANOVA SPM analyses fast condition
(unaffected side post stroke). Figure S8. 2-way repeated measures ANOVA
SPM analyses slow condition (unaffected side post stroke) Competing interests
The authors declare that they have no competing interests. Competing interests
The authors declare that they have no competing interests. References 1. Keshner EA, Fung J. The quest to apply VR technology to rehabilitation:
tribulations and treasures. J Vestib Res Equilib Orientat. 2017;27(1):1–5. https://doi.org/10.3233/VES-170610. 1. Keshner EA, Fung J. The quest to apply VR technology to rehabilitation:
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org/10.4103/1673-5374.131612. (unaffected side post stroke). Figure S8. 2-way repeated measures ANOVA
SPM analyses slow condition (unaffected side post stroke) 4. Benjamin EJ, et al. Heart disease and stroke statistics-2017 update:
a report from the American Heart Association (in eng). Circulation. 2017;135(10):e146–603. https://doi.org/10.1161/cir.0000000000000485. 5. Jørgensen HS, Nakayama H, Raaschou HO, Olsen TS. Recovery of walking
function in stroke patients: the Copenhagen Stroke Study (in eng). Arch
Phys Med Rehabil. 1995;76(1):27–32. https://doi.org/10.1016/s0003-
9993(95)80038-7. Ethics approval and consent to participate Ethical approval for the experiments was given by the Ethics Committee of the
University of Brussels and the University Hospital of Ghent (B1432020000120). All subjects gave written informed consent before participating in the study. Consent for publication Consent for publication Consent for the publication of subjects’ data has been obtained for this study. Abbreviations Abbreviations
VR
Virtual reality
HMD
Head-mounted display
GRAIL
Gait Real-time Interactive Lab
SSQ
Simulator Sickness Questionnaire
IPQ
Igroup Presence Questionnaire
VAS
Visual Analogue Scale
LMM
Linear mixed-effect models
AIC
Akaike’s Information Criteria
SPM
Statistical parametric mapping
MD
Mean difference
BDI
Beck Depression Inventory
FAC
Functional Ambulation Categories Author details 1 Rehabilitation Research, Department of Physiotherapy, Human Physiology
and Anatomy, Vrije Universiteit Brussel, Brussels, Belgium. 2 Center for Neuro‑
sciences (C4N), Vrije Universiteit Brussel, Brussels, Belgium. 3 Brussels Human
Robotic Research Center (BruBotics), Vrije Universiteit Brussel, Brussels,
Belgium. 4 Alliance research group REBI (Rehabilitation technology for people
with a brain injury), Vrije Universiteit Brussel & Ghent University, Brussels,
Belgium. 5 Faculty of Medicine and Health Sciences, Department Rehabilita‑
tion Sciences, Campus UZ Gent, Ghent, Belgium. 6 Department of Electronics
and Informatics, Engineering Sciences, Vrije Universiteit Brussel, Brussels,
Belgium. 7 Movement and Nutrition for Health and Performance, Vrije Univer‑
siteit Brussel, Brussels, Belgium. 8 Department of Mechanical Engineering, KU
Leuven, Heverlee, Leuven, Belgium. 9 Imec, Leuven, Belgium. Supplementary Information The online version contains supplementary material available at https://doi.
org/10.1186/s12984-023-01254-0. The online version contains supplementary material available at https://doi.
org/10.1186/s12984-023-01254-0. Received: 25 October 2022 Accepted: 18 September 2023 Additional file 1: Table S1. Linear mixed models for all spatiotempo‑
ral gait parameters – effect VR. Table S2. Linear mixed models for all
spatiotemporal gait parameters – effect optic flow speed. Table S3. Effect
of level of immersion on the spatiotemporal gait parameters. Table S4. Linear mixed models for the Igroup Presence Questionnaire. Figure S1. 2-way ANOVA SPM analyses for the joint angles (affected side post-stroke). Figure S2. 2-way ANOVA SPM analyses for the joint angles (unaffected
side post-stroke). Figure S3. 2-way repeated measures ANOVA SPM
analyses matched condition (affected side post stroke). Figure S4. 2-way
repeated measures ANOVA SPM analyses fast condition (affected side post
stroke). Figure S5. 2-way repeated measures ANOVA SPM analyses slow
condition (affected side post stroke). Figure S6: 2-way repeated measures
ANOVA SPM analyses matched condition (unaffected side post stroke). Figure S7. 2-way repeated measures ANOVA SPM analyses fast condition
(unaffected side post stroke). Figure S8. 2-way repeated measures ANOVA
SPM analyses slow condition (unaffected side post stroke) Additional file 1: Table S1. Linear mixed models for all spatiotempo‑
ral gait parameters – effect VR. Table S2. Linear mixed models for all
spatiotemporal gait parameters – effect optic flow speed. Table S3. Effect
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side post-stroke). Figure S3. Author contributions BJ adapted the virtual environment from the GRAIL system to work with the
HMD; EDK and AVB recruited the subjects and performed the experiments. All
authors were involved in designing the experiments, analyzing and interpret‑
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19. !!! INVALID CITATION !!! [19–21]. 19. !!! INVALID CITATION !!! [19–21]. Guzik A, Drużbicki M, Perenc L, Wolan-Nieroda A, Turolla A, Kiper P. Establishing the minimal clinically important differences for sagittal
hip range of motion in chronic stroke patients (in eng). Front Neurol. 2021;12:700190. https://doi.org/10.3389/fneur.2021.700190. 31. Guzik A, Drużbicki M, Perenc L, Wolan-Nieroda A, Turolla A, Kiper P. Establishing the minimal clinically important differences for sagittal
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Estrategias que utilizan los docentes para el desarrollo del pensamiento lógico-matemático en los estudiantes universitarios
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ARTÍCULOS DE INVESTIGACIÓN
REVISTA DE CIENCIAS SOCIALES
ESTRATEGIAS QUE UTILIZAN LOS
DOCENTES PARA EL DESARROLLO
del pensamiento lógico-matemático
en los estudiantes universitarios
Strategies used by teachers for the development of
logical-mathematical thinking in university students
Eduin A. Arriaga Valderrama1
RECIBIDO
ACEPTADO
PUBLICADO
eduinarriaga@gmail.com.
ORCID: https://orcid.org/0000-0002-7068-8395
[04/10/2020]
[13/11/2020]
[30/12/2020]
Pág. 52-64
Edwin J. Arriaga Rincón2
ejosue_22@hotmail.com.
ORCID: https://orcid.org/0000-0001-6457-7851
Saray M. Arriaga Rincón3
smaria_95@hotmail.com.
ORCID: https://orcid.org/0000-0003-2718-6047
1 Docente de Matemática del programa de Ingeniería y
Tecnología de la Unermb.
2 Docente del MPPE.
3 Licenciada en Administración con mención en Aduana.
RESUMEN
tuvo como objetivo formular estrategias
para el desarrollo del pensamiento
lógico-matemático en los estudiantes
de Ingeniería y Tecnología de la
Unermb. La investigación fue de tipo
descriptiva, con enfoque cuantitativo y
diseño no experimental. La población
estuvo constituida por 1130 estudiantes
del programa Ingeniería y Tecnología
(PIT) de la Unermb,
sede Puertos
de Altagracia, y la muestra estuvo
El pensamiento lógico permite a los
estudiantes
solucionar
problemas,
tanto a nivel educativo como laboral
y social, por lo cual, resulta esencial
para el desarrollo personal. En ese
sentido, los docentes se han enfocado
en ejecutar estrategias que permitan
desarrollar este tipo de pensamiento.
Sobre la base de ello, esta investigación
52
Vol. 2, N.º 1, septiembre-diciembre 2020
https://bit.ly/38T7Bdo
Palabras clave
Estrategias, Pensamiento
Lógico-Matemático, Docentes,
Estudiantes, Pedagogía
Keywords
ABSTRACT
Strategies, Logical-mathematical
thinking, Teachers,
Students, Pedagogy
Logical thinking allows students to
solve problems, both at the educational,
work and social levels, and is therefore
essential for personal development. In
that sense, teachers have focused on
implementing strategies that allow
them to develop this type of thinking.
Based on this, this research had the
objective of formulating strategies for the
development of logical-mathematical
Introducción
En el proceso de enseñanza-aprendizaje
es común que los docentes busquen
métodos y estrategias adecuadas para
dar sentido a las clases y construir
53
ARTÍCULOS DE INVESTIGACIÓN
thinking in students of Engineering and
Technology at Unermb. The research was
of a descriptive type, with a quantitative
approach and non-experimental design.
The population was constituted by
1130 students of the Engineering and
Technology program (PIT) of Unermb,
headquarters of Puertos de Altagracia,
and the sample was conformed by 137
students that conform the project of Gas
Engineering. Regarding the technique
and instruments of data collection, the
survey and the questionnaire were used,
respectively, with response categories in
the Likert scale. It was evidenced that the
students present apathy, little sense of
participation and transformation to the
DPLM, due to the scarce strategies applied
by the teachers, where the teaching
methods are mechanistic and traditional,
this from the fact that the teachers are
not involved in the human part of the
students, because they are dedicated to
dictate and develop exercises without
taking into account the student. Finally,
it was concluded that the alternative
solution is to establish teaching strategies
for DPLM in students, in order to train
professionals, through a constructivist
pedagogical current supported by
liberating and critical pedagogy.
conformada por 137 estudiantes que
conformen el proyecto de Ingeniería
de Gas. Respecto a la técnica e
instrumentos de recolección de datos,
se utilizó la encuesta y el cuestionario,
respectivamente, con categorías de
respuesta en la escala de Likert. Se
evidenció que los estudiantes presentan
apatía, poco sentido de participación
y transformación al DPLM, debido
a las escasas estrategias aplicadas
por los docentes, donde los métodos
de enseñanza son mecanicistas y
tradicionales, esto a partir de que
los docentes se involucran poco en
la parte humana de los educandos,
pues se dedican a dictar y desarrollar
ejercicios sin tomar en cuenta al
estudiante. Por último, se concluyó que
la alternativa de solución es establecer
estrategias docentes para el DPLM en
los estudiantes, con el fin de formar
profesionales, mediante una corriente
pedagógica constructivista apoyada en
la pedagogía liberadora y crítica.
ARTÍCULOS DE INVESTIGACIÓN
REVISTA DE CIENCIAS SOCIALES
soluciones significativas para los
estudiantes universitarios, con el fin
de mejorar sus habilidades y destrezas
en el pensamiento lógico-matemático
y, con ello, brindar herramientas que
faciliten la solución de problemas.
la formación integral del ser humano
(Velásquez et al. 2008).
Según Fernández (2003), el pensamiento
lógico hace referencia al desarrollo sensomotriz que se realiza, fundamentalmente,
a través de los sentidos. En este marco, el
conjunto de experiencias individuales
realizado de forma consciente, con base
en la percepción sensorial, en relación
con los demás y los objetos del entorno,
transmiten a la mente, hechos sobre los
cuales se elabora una serie de ideas, que
sirven para relacionarse con el exterior.
Por consiguiente, el desarrollo del
pensamiento lógico es un proceso de
adquisición de nuevos códigos, que
abren las puertas del lenguaje y permiten
la comunicación con el entorno, es
decir, constituye la base indispensable
para el desarrollo de los conocimientos
en todas las áreas académicas y es
un instrumento a través del cual se
asegura la interacción humana. De
allí la importancia del progreso de
capacidades de pensamiento lógico
esenciales para la formación integral
del ser humano.
Asimismo, el pensamiento lógico propicia
la adquisición de nuevos conocimientos,
los cuales son codificados o decodificados
para una comprensión eficaz, efectiva y
eficiente, de modo tal que se desarrollen competencias donde el estudiante
consiga su propio estilo de aprendizaje y
aprenda a su propio ritmo.
En efecto, el basamento consiste en
una concepción pedagógica asentada
sobre el desarrollo integral del educando
universitario y en sus características,
intereses y necesidades, así como en una
pedagogía orientadora y flexible, que
no se convierta en una prescripción de
tareas, y que se destaque por fomentar la
comunicación y el desarrollo moral en la
formación integral de los actores sociales.
Entonces, el pensamiento o razonamiento
lógico-matemático es importante, ya que
permite a los estudiantes elaborar y diseñar
una serie de herramientas que faciliten
la solución de problemas o situaciones
existentes, donde los mismos adquieren
habilidades y destrezas para la interacción
eficaz con su entorno. Por tanto, se hace
necesarioelempleodeestrategiasefectivas,
por parte del docente, que incentiven al
estudiante a desarrollar las actividades
académicas, debido a que se deben
transformar los procesos de enseñanza
y aprendizaje, a fin de lograr captar la
atención de los mismos; en ese sentido,
se debe contextualizar los contenidos, con
la finalidad de que el estudiante conozca
la importancia de aplicar el razonamiento
lógico-matemático.
El desarrollo del pensamiento lógicomatemático
es
un
proceso
de
adquisición de nuevos códigos, que
abren las puertas del lenguaje y permiten
la comunicación con el entorno, por lo
cual, constituye la base indispensable
para la adquisición de los conocimientos
de todas las áreas académicas y,
además, es un instrumento a través del
cual se asegura la interacción humana.
De allí la importancia del desarrollo
de competencias del pensamiento
lógico-matemático esenciales para
Además de lo indicado, existen
debilidades en la formación matemática
54
Vol. 2, N.º 1, septiembre-diciembre 2020
https://bit.ly/38T7Bdo
A partir de lo expuesto, esta investigación
tuvo como objetivo principal formular
estrategias para el desarrollo del
pensamiento lógico-matemático en los
estudiantes de Ingeniería y Tecnología
de la Unermb. Cabe destacar que
el logro de este objetivo contribuirá
a la promoción del aprendizaje
exitoso, incrementando las teorías
existentes respecto a la enseñanza de
la matemática, además de contribuir
en la formación de los estudiantes
universitarios mediante una corriente
pedagógica constructivista, apoyada
en la pedagogía liberadora, crítica y
práctica, aplicadas en la educación,
nueva o activa, lo que permite consolidar
las características de cada individuo,
potenciando el desarrollo de la nación.
Al tomar en cuenta las consideraciones
planteadas, se evidencia la necesidad
de
determinar
estrategias
que
faciliten o conlleven al estudiantado
a pensar y reflexionar más respecto
a la importancia de la matemática
como medio para el desarrollo del
pensamiento lógico-matemático, es
decir, que los objetos de estudio creen
nuevos métodos de aprendizaje. Cabe
destacar que la mayoría de los docentes
explican ejercicios matemáticos sin
darle a los estudiantes, las herramientas
que les permitan comprender la
realidad de los mismos; de igual forma,
se ha observado la deserción de estos
por la poca creatividad e innovación de
los docentes en su praxis educativa.
Estrategias docentes
El concepto de estrategia se ha
incorporado
recientemente
a
la
psicología del aprendizaje y la
educación, como una forma de resaltar
el carácter procedimental que tiene
todo aprendizaje. Al respecto, Solé
(2006) indica que las estrategias
son procedimientos que implican
la planificación de acciones. Por su
parte, Goodman (1996) afirma que una
estrategia “es un amplio esquema para
obtener, evaluar y utilizar información”
(p. 62). Por otro lado, Nerici, citado
por Parra (2002), considera que la
estrategia es un procedimiento lógico,
estructurado a nivel psicológico,
formulado con el objetivo de dirigir el
aprendizaje de los estudiantes, a fin de
alcanzar los objetivos de la enseñanza.
En ese marco, para fines de esta
investigación, se revisó el estudio de
Villavicencio (2018), quien señala que la
normalización de estrategias, respecto a
los tres momentos de enseñanza (inicio,
ejecución y final), conlleva a que estas
se efectúen con éxito, potenciando
y enriqueciendo las capacidades del
estudiante. Adicionalmente, se tomó
en cuenta la investigación de Herrada
y Baños (2018), donde se resalta que las
estrategias enfocadas en el aprendizaje
cooperativo estimulan la adquisición
de
competencias,
especialmente
en la enseñanza de matemáticas,
permitiendo, a su vez, el desarrollo
individual, social y laboral del estudiante.
Por otra parte, es preciso resaltar
que el concepto de estrategia se
relaciona con la psicología cognitiva y
55
ARTÍCULOS DE INVESTIGACIÓN
de los estudiantes, tales como la
carencia de estrategias innovadoras
que incentiven a los mismos a potenciar
habilidades y destrezas en la solución de
problemas matemáticos, en los cuales
se profundiza su proceso lógico de
razonar y desarrollar con mayor rapidez,
situaciones presentadas durante su
vida cotidiana.
ARTÍCULOS DE INVESTIGACIÓN
REVISTA DE CIENCIAS SOCIALES
la teoría pedagógica constructivista,
ya que la estrategia representa un
instrumento esencial para potenciar
la capacidad organizadora y activa
del estudiante, quien, a partir de este
elemento pedagógico, puede adquirir
capacidades y potenciar sus habilidades
(Morales et al., 2018).
su propio aprendizaje, ya que este va
a construir conocimientos a partir de
sus experiencias. Para ello, el docente
debe generar un ambiente dinámico y
proactivo que conduzca al estudiante
a crear, participar y buscar nuevas
alternativas de solución a los diferentes
problemas que se le presenten. En este
orden de ideas, los docentes asumen
estrategias que sirven para generar en
sus estudiantes el deseo de aprender, de
allí que sea necesario plantear estrategias
docentes de enseñanza y aprendizaje.
En esta línea, Rajadell (2002) señala que
la estrategia docente es una “actuación
secuenciada potencialmente consciente
del profesional en educación, guiada
por uno o más principios de la didáctica,
y encaminada hacia la optimización del
proceso de enseñanza-aprendizaje”
(p. 65). A partir de esta definición, se
observa que el concepto de estrategia
docente acoge una doble vertiente,
aunque íntimamente complementaria:
estrategias de enseñanza y estrategias
de aprendizaje.
Díaz y Hernández (2006) señalan que
el nuevo paradigma exige al docente
la utilización de estrategias que le
permitan al estudiante utilizar más su
cerebro y equilibrar las facultades de los
hemisferios cerebrales (izquierdo para
la lógica, derecho para la creatividad),
de tal forma que se conjugue lo
emocional con lo cognitivo, lo radical
con lo creativo, así como lo lógico con
lo imaginativo; de esta forma, se podrá
acelerar los procesos de aprendizaje,
ya que la activación de las múltiples
inteligencias implica pensar, sentir y
hacer, lo cual debe ser estimulado en la
acción docente, a través de estrategias
innovadoras y transformadoras.
Adicionalmente, Gómez (1993) indica
que todo proceso instructivo se
determina a partir de la estrategia
pedagógica establecida, la cual deriva de
una reflexión didáctica respecto a qué,
cómo o por qué enseñar. Esta reflexión
debe concretarse a partir de los objetos
de conocimiento, como las habilidades,
capacidades y competencias a adquirir,
así como el método, técnicas y recursos
docentes más adecuados para la
comprensión, desarrollo y adquisición
de
conocimientos.
Asimismo,
la
estrategia docente debe contar con un
mecanismo de feedback, que permita
controlar su ejecución y corregir los
fallos o debilidades observados.
En el mismo orden de ideas, las
estrategias de enseñanza son los
métodos, técnicas, procedimientos y
recursos que se planifican, de acuerdo
con las necesidades de la población
a la cual va dirigida y que tiene por
objeto hacer más efectivo el proceso de
enseñanza-aprendizaje.
Cabe destacar que, en la actualidad,
las estrategias deben fomentarse
mediante un enfoque constructivista,
capaz de transformar al estudiante
en un sujeto activo y protagonista de
Cabe resaltar que, para el logro de
los objetivos pedagógicos, en cuanto
al
aprendizaje
lógico-matemático,
el docente puede tomar en cuenta
elementos
como
la
motivación,
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Proporciona una organización adecuada
de los datos del material (conexiones
internas) que se ha de aprender al
representarla en forma gráfica o
escrita, mejorando su significatividad
lógica y, por ende, el aprendizaje
significativo. Este grupo de estrategias
se pueden emplear en los distintos
momentos de la enseñanza. Entre las
principales estrategias que destacan
en esta organización se encuentran las
representaciones viso-espaciales, como
los mapas o redes semánticas, y las
representaciones lingüísticas, como los
resúmenes o cuadros sinópticos.
Por su parte, Díaz y Hernández (2006)
afirman que los procesos cognitivos,
para promover el aprendizaje, pueden
organizarse con base en los siguientes
tipos de estrategias:
a. Estrategias para activar o crear
conocimientos
previos
y
para
establecer expectativas adecuadas
en los estudiantes
d. Estrategias para promover el enlace
entre los conocimientos previos y la
nueva información que se ha de aprender,
es decir, las conexiones externas
La activación del conocimiento previo
cumple una doble función, ya que, por
un lado, permite conocer lo que saben
sus estudiantes y, por otro, permite
utilizar dicho conocimiento como base
para promover nuevos aprendizajes.
Cabe resaltar que este proceso de
integración
asegura
una
mayor
significatividad de los aprendizajes
logrados y se recomienda usarlas antes
o durante la instrucción. Este tipo de
estrategias se encuentran constituidas
por aquellas de inspiración ausbeliana,
como son los organizadores previos
(comparativos y expositivos) y las analogías.
b. Estrategias para orientar la atención
de los estudiantes
Sirven para focalizar y mantener la
atención de los aprendices durante un
discurso o texto. Estas estrategias se
deben emplear de manera continua
durante el desarrollo de la clase,
instruyendo a los estudiantes sobre qué
puntos, conceptos o ideas deben centrar
sus procesos de atención, codificación y
aprendizaje. Los mecanismos que deben
incluirse en este tipo de estrategias son
las preguntas insertadas, el uso de pistas
o claves para explorar la estructura del
discurso y el uso de ilustraciones.
Entonces, es de suma importancia que
los docentes rompan con la tradicional
y comprobada ineficacia de la forma de
enseñanza que, desde una perspectiva
conductual, se maneja hasta la
actualidad, y que conozcan y empleen las
mencionadas estrategias de enseñanza
que, concebidas desde el modelo
cognitivo, facilitan la adquisición de
aprendizajes significativos y el desarrollo
57
ARTÍCULOS DE INVESTIGACIÓN
c. Estrategias para organizar la
información que se ha de aprender
intereses reales de los estudiantes,
ambiente motivante, adecuado proceso
enseñanza-aprendizaje, posibilidad del
educando para modificar o reforzar
su
comportamiento,
utilizar
los
recursos naturales del medioambiente,
adecuados a la realidad de las
situaciones de aprendizaje, entre otros
(Parra, 2014).
ARTÍCULOS DE INVESTIGACIÓN
REVISTA DE CIENCIAS SOCIALES
de la capacidad de los estudiantes a
través del desarrollo de las inteligencias
múltiples. Al respecto, las estrategias
de enseñanza se definen como
procedimientos o recursos usados por
el agente de enseñanza, con la finalidad
de promover el aprendizaje en los
estudiantes, es decir, estas estrategias
permiten que el docente amplíe y
facilite el aprendizaje significativo en el
alumnado. Las estrategias de enseñanza
se clasifican en preinstruccionales,
coinstruccionales y posinstruccionales
(Good y Brophy, 2000).
que hayan adquirido, definiendo las
intenciones que pretende lograr al
término de las actividades. Al respecto,
Díaz y Hernández (2006) explican que,
por la utilidad de este tipo de estrategias,
los agentes educadores tienen la
posibilidad de plantear los objetos que se
ha propuesto que obtengan los alumnos,
esto a partir de la explicación de lo que
van a realizar en clase y deben aprender.
Consecuentemente, esta metodología
permite a los estudiantes, prepararse
previamente para entender los aspectos
de trabajo; así, por sí mismo, podrá
establecer su nivel de rendimiento.
Estrategias preinstruccionales
Algunas de las estrategias preinstruccionales son los organizadores previos,
ilustraciones, así como plantear los objetivos que se pretenden para la clase, la
unidad o el proyecto, además de realizar
resúmenes, con los cuales el docente
puede elaborar y darse cuenta acerca de
cuánto saben los estudiantes acerca de
determinado contenido, ya que, si a este
le interesa, surgirán otras inquietudes.
Se utilizan en el momento de iniciar las
actividades, y tienen como propósito
estimular a los estudiantes, con el
propósito de captar su atención e
interés. Para alcanzar este objetivo,
el agente de enseñanza desarrolla
actividades que resulten atractivas y
despierten la curiosidad.
Este tipo de estrategias preparan
y alertan al estudiante respecto a
qué y cómo va a instruirse (adquirir
conocimientos y experiencias previas
adecuadas), a fin de que esto le permita
situarse en un contexto de aprendizaje
pertinente. Entonces, la activación de
conocimientos previos, ayuda al docente
en dos aspectos fundamentales: conocer
lo que conocen y saben los estudiantes, y
utilizar estos conocimientos como base
para promover nuevos conocimientos y
experiencias (Díaz y Hernández, 2006).
Estrategias coinstruccionales
Las estrategias coinstruccionales son
aquellas que potencian el contenido curricular durante el proceso de enseñanza,
ya que permiten detectar la información
esencial de determinado texto, conceptualizar esta nueva información, delimitar la
estructura e interrelación de este material de aprendizaje, y mantener la atención
y motivación del estudiante. En este marco, con estas estrategias se procura que
el estudiante se mantenga motivado a
aprender y adquirir nuevos conocimientos, mediante el proceso de enseñanza
y el hacer, fundamentalmente en el nivel básico, momento en el cual debe enfatizarse en la realización de actividades
durante la clase (Díaz y Hernández, 2006).
Las
estrategias
pre-instruccionales
cumplen con la función de activar (o
generar) conocimientos previos de los
estudiantes para generar lo que aún
no existe en su marco de aprendizaje.
Además, sirven para esclarecer ideas
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Se presentan después del contenido
que se ha de aprender y permiten al
estudiante formar una visión sintética,
integradora y crítica del contenido
enseñado, posibilitando valorar su
propio aprendizaje. Durante la aplicación
de este tipo de estrategias, el docente
puede utilizar preguntas intercaladas,
resúmenes, mapas conceptuales y
redes semánticas. Además, es propicio
brindar al estudiante la información que
las estrategias posinstruccionales van
a permitir concluir respecto al tema o
actividad realizada, a fin de estimularlo
a cerrar el tema. Cabe resaltar que
esta acción facilita la oportunidad del
docente para realizar retroalimentación
con los estudiantes, con el objetivo de
verificar si se logró a cabalidad el proceso
de aprendizaje, siendo este el verdadero
sentido de la actividad docente.
Por lo expuesto, se puede determinar
que los docentes, mediante la utilización
de
estrategias
coinstruccionales,
tienen la posibilidad de utilizar
señalizaciones,
mapas
mentales,
analogías, entre otros, a fin de estimular
al estudiante durante la clase y
convertir el proceso de aprendizaje en
un momento didáctico. Esto último se
afirma a raíz de que el docente, junto
a los alumnos, analiza y descompone
la información, lo que conduce a la
obtención del conocimiento del tema
tratado en clase y conlleva al logro del
aprendizaje significativo.
Entonces, las estrategias posinstruccionales promueven la interrelación de
los conocimientos previos con la nueva
información que se va a aprender; sin
embargo, el uso de estos nuevos conocimientos depende de las características del proceso de aprendizaje planteado por el agente de enseñanza, como
tareas, actividades didácticas efectuadas, entre otros.
No obstante, es necesario resaltar que,
durante la aplicación de estrategias
coinstruccionales,
el
agente
de
enseñanza no debe desligarse ni del
inicio ni del cierre de la actividad. Por
ello, se recomienda al docente ser
paciente, amable, comprensivo, utilizar
un tono de voz adecuado, hacer la
actividad dinámica, considerar el uso
de recursos audiovisuales, entre otros
aspectos relevantes que propicien un
ambiente de aprendizaje significativo
para los estudiantes.
Estrategias motivacionales para la
enseñanza de la matemática
El educador debe acudir a estrategias
motivacionales,
que
permitan
al
estudiante
incrementar
sus
potencialidades, ayudarlo a incentivar
su deseo de aprender y enfrentarlo a
situaciones en las que tenga que utilizar
su capacidad de discernimiento, para
conseguir solucionar determinadas
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ARTÍCULOS DE INVESTIGACIÓN
Estrategias posinstruccionales
Por su parte, Shuell (1996) afirma lo
anterior y expone que las estrategias
coinstruccionales permiten que el
estudiante mejore su capacidad de
atención y, con base en ello, detecte la
información principal, la decodifique
y la conceptualice, además de
estructurarla e interrelacionarla con
otros conocimientos, es decir, este
tipo de estrategias se relaciona con
el logro del proceso de aprendizaje,
con base en la comprensión por
parte del estudiante. A partir de ello,
esta categoría estratégica integra
estrategias como mapas conceptuales,
analogías, entre otras.
ARTÍCULOS DE INVESTIGACIÓN
REVISTA DE CIENCIAS SOCIALES
de la Unermb, sede Puertos de Altagracia,
mientras que, para la selección de la
muestra, se aplicó la fórmula de Sierra
(1994), con un margen de 8 %, obteniendo
un total de 137 estudiantes pertenecientes
al proyecto de Ingeniería de Gas.
cuestiones. En ese marco, esta
investigación define las estrategias
motivacionales como las técnicas y
recursos que debe utilizar el docente,
para hacer más efectivo el aprendizaje
de la matemática, manteniendo las
expectativas del estudiante.
Por otro lado, respecto a las técnicas
de recolección de datos, se aplicó la
encuesta, y el instrumento utilizado
fue el cuestionario, el cual fue diseñado
mediante categorías de respuesta a
escala de Likert. Estos datos fueron
tabulados a través de herramientas
infoestadísticas, y mediante métodos
estadísticos se probaron las hipótesis
establecidas en el desarrollo de la
investigación, además de establecer con
exactitud, patrones de comportamiento
en el proceso de enseñanza-aprendizaje.
Desde este punto de vista, es importante
que el docente haga una revisión de
las prácticas pedagógicas que emplea
en el aula de clase y reflexione sobre la
manera cómo, hasta ahora, ha impartido
conocimientos a sus estudiantes, para
que, de esta manera, pueda conducir
su enseñanza con técnicas y recursos
adecuados, que le permitan al educando
construir de manera significativa el
conocimiento y alcanzar el aprendizaje
de una forma efectiva.
En este sentido, Chiavenato (1999) señala
que la motivación se relaciona con el
impulso individual, generado a partir
de un estímulo externo (ambiente) o
interno (proceso mental) para actuar
de determinada forma o conducir a
un comportamiento específico. Por
ello, la motivación, como estrategia
didáctica, ayuda al estudiante a valorar
el aprendizaje, ya que puede evidenciar
cómo el docente, a través de la aplicación
de estrategias motivadoras, logran el
aprendizaje efectivo del alumno.
Para el análisis de los datos obtenidos,
se utilizó la estadística descriptiva,
la cual consiste en el cálculo de las
distribuciones de frecuencias relativas
(fr), orientadas a la consecución de
los resultados que darán solución al
planteamiento del problema. El mismo
se calculó a partir de las puntuaciones
una vez obtenidas en la muestra.
A partir de lo indicado, se estimaron
medidas de tendencia central, con
el objetivo de obtener el puntaje que
represente las estrategias y pensamiento
lógico-matemático en cada una de las
dimensiones analizadas. Los resultados
recogidos se consignaron en tablas, para
describir el comportamiento de cada
uno de los indicadores con un baremo
preestablecido para cada una de las
dimensiones intervinientes en el estudio.
METODOLOGÍA
Esta investigación, de tipo descriptivo,
se realizó con base en el paradigma
positivista, por lo cual, el enfoque fue de
tipo cuantitativo, mientras que, el diseño
de investigación fue no experimental, ya
que no se manipularon los datos primarios
obtenidos. Respecto a la población, esta
estuvo constituida por 1130 estudiantes
del programa Ingeniería y Tecnología (PIT)
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Figura 1.
¿Los docentes desarrollan estrategias motivacionales que contribuyan al proceso de
aprendizaje?
9%
14 %
24 %
25 %
Nunca
Casi nunca
Casi siempre
Siempre
Como se observa en la Figura 1, el 28 % de
los encuestados respondió que, a veces,
los docentes desarrollan estrategias que
contribuyen a promover un ambiente de
confianza y autoconfianza, estimulando
así a los estudiantes a aplicar técnicas
y métodos relacionados con su nivel
de aprendizaje y, con ello, adaptarlos a
sus conocimientos. El 25 % indicó que
siempre los docentes realizan lo indicado;
un 24 % expresó que casi siempre; el
14 %, casi nunca, y solo el 9 % resaltó
que nunca evidencian la aplicación de
28 %
A veces
estrategia educativas. Con base en los
resultados obtenidos, se determinó que
los docentes, medianamente, deciden
promover estrategias didácticas y
motivacionales para desarrollar el
pensamiento lógico-matemático.
Análisis de la varianza
Con el propósito de proponer las
estrategias para el desarrollo del
pensamiento lógico-matemático, se
aplicó el análisis de la varianza (Anova
de un factor).
Tabla 1.
Análisis de varianza
Suma de
cuadrados
gl
Media
cuadrática
F
Sig
Intergrupos
2,504,673
11
227,698
9,100,739
0,000
Intragrupos
40,832
1632
2.50E-02
2,545,505
1643
Total
Como se evidencia en la Tabla 1, se obtuvo
un nivel de significación observado
(Sig.) de 0,000, asociado a un valor del
estadístico F = 9100,739, lo cual indica
que se rechaza la hipótesis nula, es
decir, todos los componentes asociados
a los ítems de la dimensión estrategias
no son iguales, ya que el Sig. es menor
61
ARTÍCULOS DE INVESTIGACIÓN
RESULTADOS
ARTÍCULOS DE INVESTIGACIÓN
REVISTA DE CIENCIAS SOCIALES
que 0,05. En este sentido, de acuerdo
con Villavicencio (2018), una estrategia
planificada, es decir, que incluya los tres
momentos de enseñanza, potencia las
capacidades de los alumnos. Con base
en ello, el docente debe realizar sus clases
tomando en cuenta los tres momentos
de enseñanza: inicio, desarrollo y cierre, lo
cual permitirá promover la comprensión,
el análisis y aplicación efectiva de los
procesos numéricos.
• El docente estimula el aprendizaje
dentro y fuera del aula.
• El docente promueve en los estudiantes
el entusiasmo sobre el aprendizaje.
• El profesor realiza actividades que
permitan al estudiante crear conciencia.
• El profesor estimula actividades para
humanizar la conducta en los estudiantes.
• El docente anticipa el logro del
aprendizaje,
haciéndole
ver
al
estudiante la facilidad del aprendizaje
del pensamiento lógico-matemático.
En efecto, el docente debe hacerle saber
al estudiante, tanto los logros adquiridos
como sus debilidades, a fin de que pueda
mejorarlas con la ayuda de su docente
tutor y compañeros de clase, como
forma de aprendizaje cooperativo, esto
haciendo conocimiento del propósito
de aprender y aplicar diversos ejercicios
lógicos matemáticos con su profesión o
vida cotidiana. Respecto a esto último,
Herrada y Baños (2018) indican que el
aprendizaje cooperativo promueve la
adquisición de competencias, además
de optimizar el rendimiento académico
de los estudiantes, por lo cual, resulta
un método de enseñanza-aprendizaje
adecuado para el desarrollo del
pensamiento lógico-matemático.
• El docente enseña el propósito de
realizar diversos ejercicios.
• El profesor realiza las dinámicas de
reflexión al inicio, desarrollo o al cierre de
la clase.
• El profesor motiva, al final de la clase, a
que el estudiante diga si la entendió.
• El profesor termina la clase felicitando a los
estudiantes por haber entendido la clase.
CONCLUSIONES
A partir de los resultados obtenidos, se
concluyó que la mayoría de educandos
demuestra apatía por los contenidos
desarrollados en asignaturas de orden
numérico, debido a la complejidad
que estas implican en la resolución
de problemas, los cuales se ausentan
de la cotidianidad, es decir, que son
pocos contextualizados. De igual forma,
se develó que la gran mayoría de los
estudiantes de ingeniería de la Unermb,
núcleo de los Puertos de Altagracia,
dispone escasamente de las habilidades
y destrezas numéricas necesarias para la
comprensión de los contenidos propios
de la carrera de Ingeniería.
Por lo tanto, se interpreta que existen
diferencias significativas, que repercuten en el aprendizaje significativo,
entre los siguientes ítems:
• El docente emplea actividades que
promuevan un ambiente armónico
dentro del aula.
• Se promueve la confianza estudiante/
docente dentro del aula.
• Las condiciones ambientales son
agradables para incentivar el estímulo a
los estudios.
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Vol. 2, N.º 1, septiembre-diciembre 2020
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espacios de aprendizajes o ponerse a
hacer otra cosa en sus cuadernos.
Adicionalmente, al momento de
determinar
las
estrategias
que
utiliza el docente en el desarrollo del
pensamiento lógico-matemático, se
determinó que estas son escasas,
dado a que pocas veces emplean
procedimientos que incentiven a
los estudiantes a la construcción de
propuestas para desarrollar su propio
pensamiento, siendo a su vez crítico
y reflexivo sobre el cómo resolver
problemas relacionados con su área
objeto de estudio y, al mismo tiempo,
trasladarlos a la realidad con fenómenos
estudiados en áreas numéricas.
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Seguidamente, al indagar las estrategias
motivacionales que utiliza el docente,
en el desarrollo del pensamiento
lógico-matemático, se encontró que
estas carecen de aplicación, debido
a que los docentes, generalmente,
mantienen una relación armónica con
sus estudiantes, es decir, pocas veces
se involucran en la parte humana de
estos, por lo que solamente se dedican
a dictar clases y desarrollar ejercicios,
sin tomar en cuenta si los estudiantes
prestan atención o captan cada la
explicación dada. Con base en ello, los
estudiantes mantienen una conducta
inadecuada en el aula, como salir del
aula, conversar con otros compañeros,
entrar y salir repetidas veces de los
ARTÍCULOS DE INVESTIGACIÓN
REVISTA DE CIENCIAS SOCIALES
Rajadell, N. (2002). La importancia de las
estrategias docentes para la resolución de
conflictos en el aula. Revista Electrónica
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educación básica y normal en el estado de
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(2008). Modelización de procesos de enseñanza
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Manizales (Colombia) desde el concepto
contenido pedagógico del conocimiento.
Enseñanza de las Ciencias. https://ddd.
uab.cat/pub/edlc/edlc_a2009nEXTRA/edlc_
a2009nExtrap2714.pdf
Villavicencio, J. (2018). Normalización de la
estrategia de enseñanza-aprendizaje Giras
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https://openalex.org/W2413841588
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https://www.nature.com/articles/srep16590.pdf
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English
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Catestatin attenuates endoplasmic reticulum induced cell apoptosis by activation type 2 muscarinic acetylcholine receptor in cardiac ischemia/reperfusion
|
Scientific reports
| 2,015
|
cc-by
| 7,806
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Catestatin attenuates endoplasmic
reticulum induced cell apoptosis
by activation type 2 muscarinic
acetylcholine receptor in cardiac
ischemia/reperfusion
ived: 05 June 2015
d: 16 October 2015
16 November 2015
OPEN received: 05 June 2015
accepted: 16 October 2015
Published: 16 November 2015 Feng Liao1,*, Yang Zheng1,*, Junyan Cai1, Jinghui Fan1, Jing Wang1, Jichun Yang1,2,
Qinghua Cui1,2, Guoheng Xu1, Chaoshu Tang1 & Bin Geng1,2 Catestatin (CST) is a catecholamine secretion inhibiting peptide as non-competitive inhibitor
of nicotinic acetylcholine receptor. CST play a protective role in cardiac ischemia/reperfusion
(I/R) but the molecular mechanism remains unclear. Cardiomyocytes endogenously produced
CST and its expression was reduced after I/R. CST pretreatment decreased apoptosis especially
endoplasmic reticulum (ER) stress response during I/R. The protection of CST was confirmed in H9c2
cardiomyoblasts under Anoxia/reoxygenation (A/R). In contrast, siRNA-mediated knockdown of CST
exaggerated ER stress induced apoptosis. The protective effects of CST were blocked by extracellular
signal-regulated kinases 1/2 (ERK1/2) inhibitor PD90895 and phosphoinositide 3-kinase (PI3 K)
inhibitor wortmannin. CST also increased ERK1/2 and protein kinase B (Akt) phosphorylation and
which was blocked by atropine and selective type 2 muscarinic acetylcholine (M2) receptor, but not
type 1 muscarinic acetylcholine (M1) receptor antagonist. Receptor binding assay revealed that CST
competitively bound to the M2 receptor with a 50% inhibitory concentration of 25.7 nM. Accordingly,
CST inhibited cellular cAMP stimulated by isoproterenol or forskolin, and which was blocked by
selective M2 receptor antagonist. Our findings revealed that CST binds to M2 receptor, then activates
ERK1/2 and PI3 K/Akt pathway to inhibit ER stress-induced cell apoptosis resulting in attenuation
cardiac I/R injury. Catestatin (CST) is a 21 amino acid-residue, hydrophobic neuroendocrine peptide derived from chro-
mogranin A (ChgA)1. It is co-stored in the secretory granule and co-released with catecholamine in
adrenal chromaffin cells and adrenergic neurons as an endogenous noncompetitive antagonist of nico-
tine acetylcholine (nAch) receptor and inhibition catecholamine secretion in mammals2. CST stimulated
histamine release from mast cells3,4. CST also regulated rostral ventrolateral medulla neuron activity and
caused reduction sympathetic barosensitivity and parapheral chemoreflex5,6. Clearly, CST has a signifi-
cant anti-hypertensive effect7. ypf
CST is also expressed and generated in the heart8. CST reduces isoproterenol and endothelin-1–
induced cardiac contractility9,10 through the PI3 K-Akt-endothelial nitric oxide synthase (eNOS) path-
way11. Many clinical trials have revealed an association between plasma CST level and cardiac diseases
including acute myocardial infarction, heart failure and cardiac remodeling12–15. These studies suggest 1Department of Physiology and Pathophysiology, School of Basic Medical Science, Peking University, P.R. China. 2Center for Noncoding RNA Medicine, Peking University Health Science Center Beijing 100191, China. www.nature.com/scientificreports www.nature.com/scientificreports www.nature.com/scientificreports There are amendments to this paper received: 05 June 2015
accepted: 16 October 2015
Published: 16 November 2015 Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 Results
CST CST pretreatment improved left ventricular (LV) function and decreased I/R injury. Ischemia
reperfusion procedure and CST pretreatment (CP) (CST supplementation for 15 min before I/R) were
performed (Fig. 1a). After 30 min of ischemia and 1 h of reperfusion, cardiac endogenous ChgA mRNA
(see supplementary Fig. S1 online) and protein expression were no changes, but CST fragments (21 kD
and 7.5 kD) reduced comparison to control (Fig. 1b). Different dose of CST perfusion for 1 h did not
induce lactate dehydrogenase (LDH) leakage (supplementary Fig. S2 online). CST (25 nM, 50 nM and
100 nM) pretreatment decreased LDH leakage and cardiac troponin I (cTNI) level in perfusate at dif-
ferent reperfusion time point (supplementary Fig. S3 online), which indicated that CST pretreatment
lowered the ischemia reperfusion (I/R) injury, especially CST at 100 nM exhibited well protection. So
we selected 100 nM CST in following experiments. As Fig. 1c showed, I/R caused global cardiac infarc-
tion, and CP significantly reduced infarct size as compared with I/R alone (9.8 ± 4.2% vs 27.5 ± 8.2%,
P = 0.0001). We also assessed LV diastolic pressure (LVEDP), developed LV pressure (LV systolic pressure minus
LVEDP, dLVP) and maximal rate of LV pressure development (LV ± dp/dtmax) for LV function. The I/R
rat heart showed greatly increased LVEDP and impaired dilation; CP lowered the LVEDP during each
time point of reperfusion (All P < 0.05, Fig. 1d). CP also improved the dLVP recovery (All P < 0.05,
Fig. 1e) and LV ± dp/dtmax (All P < 0.05 Fig. 1f). Thus, CST pretreating improved cardiac function
during I/R. CST pretreatment inhibited I/R–induced cell apoptosis. We used cleaved caspase-3 (a marker of
cell apoptosis) antibody immunofluorescence staining to assess cell apoptosis. I/R increased the number
of apoptotic cardiomyocytes, and CP significantly reduced the cell apoptosis (Fig. 2a,b). Consistently, I/R
increased apoptosis markers (caspase-9, 7 and -3 cleavage, and poly (ADP-ribose) polymerase (PARP)
cleaved into 89- and 24-kDa segments). CP lowered cleaved caspase-9, -7, -3 and PARP (Fig. 2c,e) for a
role in reduced apoptosis. p p
I/R induced ER-stress response by assessing phosphorylated PERK and chaperone protein Grp78
expression. ER stress-initiated apoptosis signals evaluated by caspase-12 cleavage, Chop protein expres-
sion and phosphorylated JNK. CP also lowered the protein expression of ER stress markers and ER
stress-initiated apoptosis signals in cardiac I/R (Fig. Catestatin attenuates endoplasmic
reticulum induced cell apoptosis
by activation type 2 muscarinic
acetylcholine receptor in cardiac
ischemia/reperfusion
ived: 05 June 2015
d: 16 October 2015
16 November 2015
OPEN *These
authors contributed equally to this work. Correspondence and requests for materials should be addressed to B.G. (email: bingeng@hsc.pku.edu.cn) 1 Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 1 www.nature.com/scientificreports/ that CST may play an essential role in the pathogenesis of ischemic heart diseases. More recently, Penna
et al. found that CST post-conditioning or post-treatment decreased infarct area and diastolic left ven-
tricular (LV) pressure, and increased cardiomyocyte viability during cardiac ischemic-reperfusion (I/R)16. PI3 K and protein kinase Cε inhibitors, mitochondrial KATP channel blocker and reactive oxygen spe-
cies (ROS) scavenger abolished the protective effects of CST in cardiac I/R17. Clearly, to investigate the
protective mechanism of endogenous CST in cardiac diseases will be very useful and necessary for its
potential clinical use. p
It had been reported that activation of nAch (α 7nAchR)18 or type 2 muscarinic Ach receptor (M2
receptor)19 reduced cardiac I/R injury. Because CST is a noncompetitive inhibitor of nAch receptor1, it
is likely that nAch receptor is not involved in protective effect of CST. Interestingly, Gi/o protein partici-
pated in the cardiac negative inotropism of CST10,20. Gi/o protein is also an important intracellular target
of M2 and M4 receptors21. Based on these previous findings, it is reasonably to speculate that M receptor
may play essential roles in CST’s protective effects during cardiac I/R injury. y p y
pf
g
j
y
In the present study, we presented novel evidence that CST directly bound to and activated M2 recep-
tor to attenuate ER-stress linked apoptosis via activation of ERK1/2 and Akt pathways in cardiac I/R. Results
CST 2d,e).i p p
g
g
To confirm the CST regulatory role in ER stress-induced apoptosis, we used siRNA knockdown of the
CST precursor ChgA in H9c2 cardiomyoblasts. Firstly, we measured the cell viability by CCK8 kit and
found that different CST treatment or knockdown did not affect H9c2 cell viability (see supplementary
Fig. S4a,S4b online). siRNA treatment for 48 h lowered CST precursor-ChgA protein expression in H9c2
cells (Fig. 3a). In H9c2 cell with A/R, siRNA mediated knockdown of ChgA increased the number of
apoptotic cells as compared with scramble siRNA (Fig. 3b). ChgA siRNA also upregulated ER stress
response markers (phosphorylated PERK and JNK, Grp78 and Chop expression, and cleaved caspase-12)
and an apoptosis marker (cleaved caspase-3) (Fig. 3c). Calcium overload is an important injury mech-
anism in I/R and an inducer of ER stress. Thapsigargin (calcium pump inhibitor induce intracellular
calcium overload) is a typical ER stress inducer. Knockdown of CST also increased thapsigargin-induced
cell apoptosis (Fig. 3d) and especially levels of the ER stress markers and cell apoptosis marker (Fig. 3e
and supplementary Fig. S5 online). Above results suggest that endogenous CST may reduce ER stress in
part with I/R injury. ERK and PI3 K pathway is involved in the protective effect of CST. To investigate the possible
signals of CST protection, we treated H9c2 cells with specific inhibitors for 30 min to assess the blocking
effects. Intriguingly, PD98059 and wortmannin reversed the CST protection on cell apoptosis (Fig. 4a,b)
and ER-stress response (Fig. 4c,d). Knockdown CST also lowered the phosphorylation of ERK1/2 and
Akt during A/R (see supplementary Fig. S6 online). These results indicate that ERK1/2 and PI3 K pathway
involved in the protection of CST. In isolated heart, we also found CP significantly increased ERK1/2, Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 2 www.nature.com/scientificreports/ ntificreports/
Figure 1. Catestatin (CST) pretreatment (CP) reduced infarct size and maintained cardiac function after
cardiac ischemia-reperfusion (I/R) injury in rats. (a) The procedure of global cardiac I/R (n = 18) and
CP (n = 18) and original recording of left ventricular (LV) pressure. (b) The ChgA protein and its cleavage
fragments expression were measured by western blot. (c) Heart tissue was stained with triphenyltetrazolium
chloride and infarct size (white color) was measured by volume (n = 6 for each group). Results
CST Evaluation of
cardiac function including LV end diastolic pressure (LVEDP)(b), LV developed pressure (dLVP, LV systolic
pressure–diastolic pressure) (d), and LV ±dp/dtmax (e) during I/R and CP (total 36 rats were recruited). Data
are mean ± SD. *P < 0.05, **P < 0.01 vs I/R group. #P < 0.05 vs parameters before ischemia. Figure 1. Catestatin (CST) pretreatment (CP) reduced infarct size and maintained cardiac function after
cardiac ischemia-reperfusion (I/R) injury in rats. (a) The procedure of global cardiac I/R (n = 18) and
CP (n = 18) and original recording of left ventricular (LV) pressure. (b) The ChgA protein and its cleavage
fragments expression were measured by western blot. (c) Heart tissue was stained with triphenyltetrazolium
chloride and infarct size (white color) was measured by volume (n = 6 for each group). Evaluation of
cardiac function including LV end diastolic pressure (LVEDP)(b), LV developed pressure (dLVP, LV systolic
pressure–diastolic pressure) (d), and LV ±dp/dtmax (e) during I/R and CP (total 36 rats were recruited). Data
are mean ± SD. *P < 0.05, **P < 0.01 vs I/R group. #P < 0.05 vs parameters before ischemia. igure 1. Catestatin (CST) pretreatment (CP) reduced infarct size and maintained cardiac function after gu e . Catestat
(CS ) p et eat
e t (C ) educed
a ct s e a d
a
ta
ed ca d ac u ct o
afte
cardiac ischemia-reperfusion (I/R) injury in rats. (a) The procedure of global cardiac I/R (n = 18) and
CP (n = 18) and original recording of left ventricular (LV) pressure. (b) The ChgA protein and its cleavage
fragments expression were measured by western blot. (c) Heart tissue was stained with triphenyltetrazolium
chloride and infarct size (white color) was measured by volume (n = 6 for each group). Evaluation of
cardiac function including LV end diastolic pressure (LVEDP)(b), LV developed pressure (dLVP, LV systolic
pressure–diastolic pressure) (d), and LV ±dp/dtmax (e) during I/R and CP (total 36 rats were recruited). Data
are mean ± SD. *P < 0.05, **P < 0.01 vs I/R group. #P < 0.05 vs parameters before ischemia. Akt and eNOS phosphorylation (Fig. Results
CST 4e,f) compared with I/R, which confirmed ERK1/2 and PI3 K/Akt
were partly activated by CST to reduce the ER-stress and increase cell survival.i To confirm these pathways involved in ER stress-induced cellular apoptosis by CST, we measured
the effect of these inhibitors on DTT-, tunicamycin- and thapsigargin-induced cellular apoptosis. In situ
staining of apoptotic cells with cleaved caspase-3 antibody revealed that CST reduced the number of
apoptotic cells induced by DTT, tunicamycin and thapsigargin, and which also were blocked by PD98059
and wortmannin (see supplementary Fig. S7–S9 online). Consistently, the major apoptosis pathway of
ER stress—Chop expression, caspase-12 cleavage and JNK phosphorylation, ER stress response markers
including phosphorylated PERK, Grp78 protein expression—were also lowered by CP while inducing
by DTT (Fig. 5a, and supplementary Fig. S10 online), tunicamycin (Fig. 5b and supplementary Fig. S11
online) and thapsigargin (Fig. 5c and supplementary Fig. S12 online), which were also reversed by two
inhibitors. Therefore, CST inhibited apoptotic pathways of the unfolded protein response in part via ERK
and PI3 K signaling pathways. Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 3 www.nature.com/scientificreports/ Figure 2. CST pretreatment reduced ER-stress and decreased apoptosis. (a) Cleaved caspase-3
immunofluorescence staining and nuclear staining; apoptotic cells were stained in pink Scale bar = 100 μ M. (b) Apoptosis cell numbers were counted in five different field of vision. (c) Western blot analysis of effect
of I/R and CP on apoptosis and caspase family members and PARP and (d) proteins related to the ER stress
pathway. Relative protein expression was analyzed by band gray degree. β -actin is a normalization control
(e). Six independent experiments were performed for above studies. Figure 2. CST pretreatment reduced ER-stress and decreased apoptosis. (a) Cleaved caspase-3 l Figure 2. CST pretreatment reduced ER stress and decreased apoptosis. (a) Cleaved caspase 3
immunofluorescence staining and nuclear staining; apoptotic cells were stained in pink Scale bar = 100 μ M. (b) Apoptosis cell numbers were counted in five different field of vision. (c) Western blot analysis of effect
of I/R and CP on apoptosis and caspase family members and PARP and (d) proteins related to the ER stress
pathway. Relative protein expression was analyzed by band gray degree. β -actin is a normalization control
(e). Six independent experiments were performed for above studies. CST acts as an M2 receptor agonist. CST might activate Gi/o protein20. Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 Results
CST In 5 subtypes (M1 to M5)
muscarinic acetylcholine receptors, only M2 and M4 receptors bind with Gi/o protein21. Thus, muscarinic
acetylcholine receptor signaling might be involved in the cardioprotective effect of CST. To verify this
hypothesis, the nonspecific M receptor antagonist atropine, selective M1 receptor antagonist pirenzepine,
and selective M2 receptor antagonist AF-DX116 were used. We found that carbamoylcholine lowered
Grp78 and Chop protein expression and increased phosphorylated ERK1/2 and Akt levels effect which
was similar to the CST (Fig. 6a). Atropine and AF-DX116 but not pirenzepine blocked the CST-altered
level of these proteins (Fig. 6a). Therefore, M2 but not M1 receptor may mediate the CST action. To
confirm this finding, we used another selective M2 receptor antagonist-methoctramine, and the selective
M2/M4 receptor antagonist himbacine, which also blocked the effect of CST on the ER stress response
and ERK1/2 and Akt phosphorylation during A/R (Fig. 6b). In isolated neonatal rat cardiomyocytes, CP
also reduced cell apoptosis (PARP and caspase-3 cleavage), ER-stress response (Grp78 and Chop protein
expression) by I/R, and increased phosphorylated ERK1/2 and Akt. The protection were also blocked
with selective M2 receptor inhibitors (Fig. 6c,d). In isolated heart, AF-DX116 also blocked the protective
effects of CP on infarct size, LDH leakage and cTNI level (supplementary Fig. S13a online). These data
suggested that M2 receptor may be a target protein interacting with CST. gg
p
y
g
p
g
To investigate the interaction of CST with M2 receptor and as an endogenous ligand, we used radi-
oactive isotope [125-I]-labeled CST (0.4 μ M) as a ligand, and N-methylscopolamine (NMS:0.045 nM
to 0.3 μ M) as a “cold” ligand were co-incubated with membrane protein (200 μ g) in H9c2 cardiomy-
blasts. Radioactivity of binding CST was assessed and the competitive inhibition curve is in Fig. 7a. The half-maximal inhibition (IC50) of binding occurred with 25.7 nM NMS (Fig. 7a). Scatchard analysis
revealed a single binding site with KD 18.6 nM (Fig. 7b). To confirm the specific binding of CST to the Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 4 www.nature.com/scientificreports/ Figure 3. siRNA knockdown of CST increased ER stress-induced apoptosis in H9c2 cardiomyoblasts
during anoxia/reperfusion (A/R). (a) siRNA knockdown effect by CST precursor (ChgA) protein
expression. Immunofluorescence staining by cleaved caspase-3 for cell apoptosis (b) and western blot
analysis of ER stress-marker expression (c). Results
CST (e) Western blot analyzed the
changes of phosphorylated ERK1/2, Akt and eNOS during CP in isolated heart; and expressions analysis (f)
h
d Th
i d
d
t
i
t
d
f
it Figure 4. The role of ERK1/2 and PI3 K/Akt pathway in CST’s protective effects during A/R in
cardiomyoblasts. H9c2 cardiomyoblasts were pretreated with ERK inhibitor PD98059 (20 μ M), PI3 K/Akt
inhibitor wortmannin (10 nM) for 30 min, followed by treatment with CST (100 nM) for 30 min, then cells
underwent A/R. (a) Apoptosis was assessed by cleaved caspase-3–positive cells (a) and counted (b). Scale
bars = 50 μ M. Western blot analysis of ER stress-markers expression(c), and relative protein expression was
analyzed (d). Six independent experiments were performed for above studies. (e) Western blot analyzed the
changes of phosphorylated ERK1/2, Akt and eNOS during CP in isolated heart; and expressions analysis (f)
was showed. Three independent experiments were done for it. Figure 4. The role of ERK1/2 and PI3 K/Akt pathway in CST’s protective effects during A/R in Figure 4. The role of ERK1/2 and PI3 K/Akt pathway in CST’s protective effects during A/R in
cardiomyoblasts. H9c2 cardiomyoblasts were pretreated with ERK inhibitor PD98059 (20 μ M), PI3 K/Akt
inhibitor wortmannin (10 nM) for 30 min, followed by treatment with CST (100 nM) for 30 min, then cells
underwent A/R. (a) Apoptosis was assessed by cleaved caspase-3–positive cells (a) and counted (b). Scale
bars = 50 μ M. Western blot analysis of ER stress-markers expression(c), and relative protein expression was
analyzed (d). Six independent experiments were performed for above studies. (e) Western blot analyzed the
changes of phosphorylated ERK1/2, Akt and eNOS during CP in isolated heart; and expressions analysis (f)
was showed. Three independent experiments were done for it. Figure 4. The role of ERK1/2 and PI3 K/Akt pathway in CST’s protective effects during A/R in
cardiomyoblasts. H9c2 cardiomyoblasts were pretreated with ERK inhibitor PD98059 (20 μ M), PI3 K/Akt
inhibitor wortmannin (10 nM) for 30 min, followed by treatment with CST (100 nM) for 30 min, then cells
underwent A/R. (a) Apoptosis was assessed by cleaved caspase-3–positive cells (a) and counted (b). Scale
bars = 50 μ M. Western blot analysis of ER stress-markers expression(c), and relative protein expression was
analyzed (d). Six independent experiments were performed for above studies. Results
CST Cells with CST siRNA knockdown were treated with
thapsigargin; immunohistochemistry of apoptosis and (d) western blot analysis of ER stress-markers
expression (e). Five independent experiments were performed for these studies. Scale bar = 100 μ M. Figure 3. siRNA knockdown of CST increased ER stress-induced apoptosis in H9c2 cardiomyoblasts
during anoxia/reperfusion (A/R). (a) siRNA knockdown effect by CST precursor (ChgA) protein
expression. Immunofluorescence staining by cleaved caspase-3 for cell apoptosis (b) and western blot
analysis of ER stress-marker expression (c). Cells with CST siRNA knockdown were treated with
thapsigargin; immunohistochemistry of apoptosis and (d) western blot analysis of ER stress-markers
expression (e). Five independent experiments were performed for these studies. Scale bar = 100 μ M. M2 receptor, we added AF-DX116 (final concentration: 50 nM, IC50 50 nM for M2 receptors), and the IC50
of binding was significantly increased to 36.0 nM (Fig. 7a); scatchard analysis revealed a KD of 45.8 nM
(Fig. 7b). Therefore, CST specifically binds to the M2 receptor. gh
pi
y
p
Activation M2 receptor can decrease intracellular cAMP level under catecholamine stimulation. To identify the biological function of CST binding to the M2 receptor, we measured cAMP level with
carbamoylcholine as a positive control. CST and carbamoylcholine lowered cAMP level induced by
isoproterenol in H9c2 cells (Fig. 7c). AF-DX116 and himbacine did not affect increased cAMP level
with isoproterenol, but blocked the effect of CST. To distinguish the β -receptor inhibition, we used the
adenylyl-cyclase activator forskolin to directly increase intracellular cAMP level. CST also lowered cAMP Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 5 www.nature.com/scientificreports/ Figure 4. The role of ERK1/2 and PI3 K/Akt pathway in CST’s protective effects during A/R in Figure 4. The role of ERK1/2 and PI3 K/Akt pathway in CST’s protective effects during A/R in
cardiomyoblasts. H9c2 cardiomyoblasts were pretreated with ERK inhibitor PD98059 (20 μ M), PI3 K/Akt
inhibitor wortmannin (10 nM) for 30 min, followed by treatment with CST (100 nM) for 30 min, then cells
underwent A/R. (a) Apoptosis was assessed by cleaved caspase-3–positive cells (a) and counted (b). Scale
bars = 50 μ M. Western blot analysis of ER stress-markers expression(c), and relative protein expression was
analyzed (d). Six independent experiments were performed for above studies. Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 Results
CST (e) Western blot analyzed the
changes of phosphorylated ERK1/2, Akt and eNOS during CP in isolated heart; and expressions analysis (f)
was showed. Three independent experiments were done for it. Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 6 www.nature.com/scientificreports/ Figure 5. CST protected against ER-stress induced apoptosis via ERK1/2 and PI3 K pathway in H9c2
cardiomyoblast. Western blot analysis of protein expression of ER stress-marker proteins and apoptosis cell
number with treatment with stress inducers dithiothreitol (DTT) (a), tunicamycin (b), and thapsigargin (c)
after pretreatment with PD98059 or wortmannin. **P < 0.01 vs single ER-stress inducers, #P < 0.05 vs single
catestatin treatment. Eight independent experiments were performed for above studies. Figure 5. CST protected against ER-stress induced apoptosis via ERK1/2 and PI3 K pathway in H9c2
cardiomyoblast. Western blot analysis of protein expression of ER stress-marker proteins and apoptosis cell
number with treatment with stress inducers dithiothreitol (DTT) (a), tunicamycin (b), and thapsigargin (c)
after pretreatment with PD98059 or wortmannin. **P < 0.01 vs single ER-stress inducers, #P < 0.05 vs single
catestatin treatment. Eight independent experiments were performed for above studies. Figure 5. CST protected against ER-stress induced apoptosis via ERK1/2 and PI3 K pathway in H9c2 Figure 5. CST protected against ER-stress induced apoptosis via ERK1/2 and PI3 K pathway in H9c2
cardiomyoblast. Western blot analysis of protein expression of ER stress-marker proteins and apoptosis cell
number with treatment with stress inducers dithiothreitol (DTT) (a), tunicamycin (b), and thapsigargin (c)
after pretreatment with PD98059 or wortmannin. **P < 0.01 vs single ER-stress inducers, #P < 0.05 vs single
catestatin treatment. Eight independent experiments were performed for above studies. level, which was blocked by AF-DX116 and himbacine but not pirenzepin (Fig. 7d). Thus, CST functions
as an agonist of the M2 receptor. Discussion
I
h In the present study, we identify the CST is an endogenous ligand of the M2 receptor. CST pretreatment
activates M2 receptor, thereby activates PI3 K and ERK1/2 pathway results in reducing ER stress-induced
cell apoptosis and increasing cell survival (Fig. 8), thus lowers infarct size and recovers cardiac pump
function under I/R.it Firstly we identified the endogenous CST reducing after I/R, but its precursor ChgA expression were
no changes. That means increased enzymes (which catalyzed ChgA to generate CST) activity during I/R,
although the enzymes were not identified until now. CST pretreatment compensated to endogenous CST
decrease, thus lowered the infarct size and improved cardiac function in rats under I/R, which agreed
with studies of CST post-conditioning16,17. However, human wild type CST (100 nM) treatment for 2 h
during reperfusion phase increased, but Gly364Ser variant peptide lowered infarct size; because of lower
inhibitory activity on nicotinic cholinergic receptor22. In our present study or CST post-conditioning,
short-times supplementation reduced the inhibitory effects on nicotinic cholinergic receptor, which
might partly explain the paradoxical effects of CST on cardiac I/R. g
p
y
p
pf
Apoptosis occurs in cardiomyocytes during I/R. Genetic or pharmacological inhibition of cell
apoptosis reduced infarct size and improved cardiac function23. CST pretreatment similar with CST
post-conditioning24, decreased apoptosis during I/R. In contrast, knockdown CST increased apoptosis. 7 www.nature.com/scientificreports/ Figure 6. The role of the muscarinic receptors in CST’s protective effect on apoptosis. (a) Western
blot analysis of effect of non-selective M receptor antagonist atropine, selective M1 receptor antagonis
pirenzepine and selective M2 receptor antagonist AF-DX116 on ER-stress markers expression and
phosphorylation of ERK1/2 and Akt and (b) M2 receptor-specific blocking confirmed with methoctra
and himbacine. Quantitative analysis of protein expression was shown in the bottom of figure. *P < 0
vs A/R treatment; #P < 0.01 vs A/R + CP group. Six independent experiments were performed for abo
studies. In neonatal rat cardiomyocytes, we measured the apoptosis markers-PARP and caspase-3 clea
ER-stress markers-Grp78 and Chop expression, ERK1/2 and Akt phosphorylation; and the role of M2
receptor using selective M2 receptor antagonists(c). Relative protein expression was performed (d). T Figure 6. The role of the muscarinic receptors in CST’s protective effect on apoptosis. (a) Western
blot analysis of effect of non selective M receptor antagonist atropine selective M1 receptor antagonis Figure 6. The role of the muscarinic receptors in CST’s protective effect on apoptosis. Discussion
I
h (a) Western
blot analysis of effect of non-selective M receptor antagonist atropine, selective M1 receptor antagonist
pirenzepine and selective M2 receptor antagonist AF-DX116 on ER-stress markers expression and
phosphorylation of ERK1/2 and Akt and (b) M2 receptor-specific blocking confirmed with methoctramine
and himbacine. Quantitative analysis of protein expression was shown in the bottom of figure. *P < 0.05
vs A/R treatment; #P < 0.01 vs A/R + CP group. Six independent experiments were performed for above
studies. In neonatal rat cardiomyocytes, we measured the apoptosis markers-PARP and caspase-3 cleavage,
ER-stress markers-Grp78 and Chop expression, ERK1/2 and Akt phosphorylation; and the role of M2
receptor using selective M2 receptor antagonists(c). Relative protein expression was performed (d). Three
independent experiments were performed for it. ER stress induces apoptosis involved in regulation during I/R25. CST pretreatment lowered ER stress
induced apoptosis during I/R, even directly stimulated by ER-stress inducers; oppositely, knockdown
CST aggravated ER-stress induced apoptosis, suggesting endogenous CST stabilized ER-stress response
to anti-apoptosis. p p
Next, we assessed the possible signal involved in the CST regulation. A PI3 K inhibitor blocked the
Ca2+ transient inhibition of CST after β -adrenergic stimulation11 and cardiac function recovery with Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 8 www.nature.com/scientificreports/ Figure 7. CST bound to M2 receptor and reduced cellular cAMP levels. (a) Competitive inhibitory
receptor binding curve involved [125-I]-labeled CST (0.4 μ M) as a ligand, N-methylscopolamine (NMS,
0.045 nM to 0.3 μ M) as “cold” ligand, and AF-DX116 as selective inhibitor. (b) Equilibrium dissociation
constant (KD) values were counted by scatchard analysis. Selective M-receptor antagonist effect with CST on
intracellular cAMP level after stimulation with isoproterenol (c) or forskolin (d). Data are mean ± SD. (a)
P < 0.05 vs untreated group; (b) P < 0.01 vs single treatment with isoproterenol (ISO) or drugs; (c) P < 0.01
vs CST. Six independent experiments were performed for these studies. Figure 7. CST bound to M2 receptor and reduced cellular cAMP levels. (a) Competitive inhibitory Figure 7. CST bound to M2 receptor and reduced cellular cAMP levels. (a) Competitive inhibitory
receptor binding curve involved [125-I]-labeled CST (0.4 μ M) as a ligand, N-methylscopolamine (NMS,
0.045 nM to 0.3 μ M) as “cold” ligand, and AF-DX116 as selective inhibitor. (b) Equilibrium dissociation
constant (KD) values were counted by scatchard analysis. Selective M-receptor antagonist effect with CST on
intracellular cAMP level after stimulation with isoproterenol (c) or forskolin (d). Discussion
I
h Data are mean ± SD. (a)
P < 0.05 vs untreated group; (b) P < 0.01 vs single treatment with isoproterenol (ISO) or drugs; (c) P < 0.01
vs CST. Six independent experiments were performed for these studies. Figure 7. CST bound to M2 receptor and reduced cellular cAMP levels. (a) Competitive inhibitory
receptor binding curve involved [125-I]-labeled CST (0.4 μ M) as a ligand, N-methylscopolamine (NMS,
0.045 nM to 0.3 μ M) as “cold” ligand, and AF-DX116 as selective inhibitor. (b) Equilibrium dissociation
constant (KD) values were counted by scatchard analysis. Selective M-receptor antagonist effect with CST on
intracellular cAMP level after stimulation with isoproterenol (c) or forskolin (d). Data are mean ± SD. (a)
P < 0.05 vs untreated group; (b) P < 0.01 vs single treatment with isoproterenol (ISO) or drugs; (c) P < 0.01
vs CST. Six independent experiments were performed for these studies. Figure 8. Proposed mechanism of CST’s protective effects in cardiac I/R injury. CST acts as an
endogenous M2 receptor agonist, activates M2 receptor and causes inhibition of adenylyl cyclase (AC)
activity via the α subunit (α i) of Gi, thereby decreasing cAMP level while stimulating by isoproterenol or
forskolin. During cardiac I/R, CST binds to M2 receptor and activates ERK1/2 and PI3 K/Akt signaling
pathway to reduce ER-stress response and cell apoptosis. Figure 8. Proposed mechanism of CST’s protective effects in cardiac I/R injury. CST acts as an
endogenous M2 receptor agonist, activates M2 receptor and causes inhibition of adenylyl cyclase (AC)
activity via the α subunit (α i) of Gi, thereby decreasing cAMP level while stimulating by isoproterenol or
forskolin. During cardiac I/R, CST binds to M2 receptor and activates ERK1/2 and PI3 K/Akt signaling
pathway to reduce ER-stress response and cell apoptosis. Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 9 www.nature.com/scientificreports/ CST post-conditioning17. We found that wortmannin blocked the effect of CST on ER stress-linked
apoptosis; and knockdown CST lowered phosphorylated Akt. Therefore, the PI3 K-Akt pathway is an
important signal cascade of CST in cardiac diseases. The canonical mitogen-activated protein kinases
(MAPKs) JNK, ERK1/2 and p38 are activated in response to ER stress, each with different roles. JNK
is considered a downstream target of IRE1-dependent ER stress26. I/R–induced ROS leads to sustained
calmodulin-dependent protein kinase II activation, which promotes JNK signaling27, thereby promoting
apoptosis26. Discussion
I
h Here we found that CST inhibited JNK phosphorylation, and siRNA knockdown of CST acti-
vated JNK. Thus, the JNK signal is involved in inhibiting ER stress-induced apoptosis with CST. In gen-
eral, ERK1/2 activation is considered to promote cell survival. ER stress-promoted activation of ERK1/2
is associated with increased cell proliferation and decreased apoptosis28. Pharmacological or genetic inhi-
bition of ERK1/2 promoted ER stress-induced apoptosis29. We found that PD98059-inhibited MAPK
kinase reduced ERK1/2 activation and reversed the protection of CST on ER stress, so CST increase
ERK1/2 phosphorylation to promote cell survival. These findings indicate that PI3 K and ERK1/2 path-
way involved in the protection of endogenous CST during I/R. y
p
g
g
We asked how CST activates PI3 K and ERK1/2 signal and which the receptor of CST is. Here we
showed CST was similar to carbamoylcholine, reduced ER-stress response and activated ERK1/2 and
PI3 K signals. This effect was blocked by a selective M2 but not M1 receptor antagonist. Receptor bind-
ing assay showed that CST is a ligand of the M2 receptor. CST bound to M2 receptor activation directly
activating Gi protein, thus reducing cAMP production while stimulated by isoproterenol30 or forskolin;
and the effect was also blocked by M2 selective antagonism, suggesting CST functions as an M2 receptor
agonist. M2 receptor activation increases the NOS/NO cGMP pathway31, which also explains in part the
CST anti-adrenergic effect by NOS/NO cGMP11. All these findings demonstrate that endogenous CST
as an agonist of M2 receptor to participate in pathogenesis of the cardiac I/R. g
p
p
p
p
g
Muscarinic receptor expression is abundant in ventricular muscle. Acetylcholine has protective role
in cardiac I/R in vitro, but it is non-selective ligand and activates all cholinergic receptor subtype, which
limited its application due to enormous side effects. Here we identified that CST is a selective ligand of
M2 receptor with high affinity and its intracellular signal (cAMP, PI3 K and ERK1/2) is consistent with
M2 receptor agonist. Berberine also has potential binding ability to M2 receptor (KD values 5.4 μ M) and
has protective effects in cardiac diseases32. These data indicate that M2 receptor might be a new target
for cardiac I/R, but it should be confirmed in cardiomyocytes specific M2 receptor knockout mice in
the future. Different amino acid variant in CST affected CST inhibitory activity on nicotinic cholinergic
receptor33. Discussion
I
h Thus, we also increasing CST binding to M2 receptor by modification replacement amino
acid, if the sites and model of CST binding to M2 receptor are clear. A synthesized small-molecule chem-
ical according to the pharmacophore model of CST lowered blood pressure in hypertensive animals34. According to the model, more selective and effective M2 agonist might be designed and synthesized for
treating cardiac ischemic diseases. Methods Animals and materials. All animal procedures complied with the Animal Management Rule of
the Ministry of Health, People’s Republic of China (document No. 55, 2001) and the Care and Use of
Laboratory Animals published by the US National Institutes of Health (NIH Publication No. 85-23,
updated 2011). The care and use of the laboratory animals were approved by Laboratory Animal Ethics
Committee of Peking University. Total 36 male Sprague–Dawley (SD) rats (180–200 g, 8 week) were sup-
plied by the Animal Center, Health Science Center, Peking University. H9c2 rat cardiomyoblasts were pur-
chased from the Stem Cell Bank, Chinese Academy of Sciences. The human wild-type CST, hChgA352–372
(SSMKLSFRARGYGFRGPGPQL), was purchased from Phoenix Pharmaceuticals (Belmont, CA, USA). The extracellular signal-regulated kinase (ERK) inhibitor PD98059, PI3 K/Akt inhibitor wortmannin,
selective M1 receptor antagonist pirenzepine, selective M2 receptor antagonists AF-DX116 (Otenzepad)
and methoctramine, selective M2/M4 receptor antagonist himbacine, and non-specific M receptor antag-
onist atropine, carbamoylcholine, tunicamycin, dithiothreitol (DTT), and thapsigargin were from Sigma-
Aldrich (St. Louis, MO, USA). ChgA siRNA (sense: GAU GAU GAU GGU CAG UCG GdTdT, antisense:
CCG ACU GAC CAU CAU CAU CdTdT) and scramble siRNA were synthesized by Sigma. Langendorff perfusion procedure and experimental protocol. Rats fed a standard diet were
heparinized (200 IU) and anesthetized with sodium pentobarbital (50 mg/kg, intraperitoneally). Hearts
were excised and rapidly moved to a Langendorff perfusion system as described35. After 30-min stabiliza-
tion, hearts underwent 30-min normoxia, zero-flow global ischemia for 30 min, followed by 60-min rep-
erfusion (I/R group). For the CP group, CST (100 nM) was infused for 15 min before ischemia (Fig. 1A). Cardiac function including left ventricular end diastolic pressure (LVEDP), LV systolic pressure (LVSP),
and maximal and minimal LV pressure development (± dp/dtmax) were recorded. p
p
p
max
At the end of reperfusion, hearts were frozen at − 20 °C, then cut into 2-mm thin slices, which were
stained with 1% triphenyltetrazolium chloride (TTC) in phosphate buffer (pH 7.4) at 37 °C for 10 min,
then fixed in 4% paraformaldehyde solution to enhance the contrast of the stain. Images in each slice
were analyzed by image pro plus software. The volume of infarcted tissue (white) and the risk zone
(total) was then calculated by each area plus slice thickness and summing the results. The infarct size
was expressed as the percentage of the risk zone36. Total 12 rats were sacrificed for the infarct size assay. Methods Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 10 www.nature.com/scientificreports/ Other rats, while finished I/R procedure, the apex of heart (about 100 mg) was quickly removed for
western blot assay. The residual heart were cut about 5 mm high (from the site of apex), embedded with
OCT then the frozen slice were prepared for apoptosis staining (Methods of western blot and apoptosis
assay are available in the Supplementary methods online). Anoxia/reoxygenation (A/R) and induced ER stress in H9c2 and neonatal cardiomyo-
cytes. Ten two-day-old Sprague–Dawley rats were anesthetized with sodium pentobarbital (50 mg/kg,
intraperitoneally), and then decapitated by heavy scissors. Their ventricles were excised and dissociated
using trypsin digestion as described previously37. The isolated cells were pre-plated for 0.5 h in minimal
essential medium with 10% fetal calf serum. Nonattached cells were re-plated in another plate in the
same medium with 0.1 mM bromodeoxyuridine (BrDU) for 4 days and then were removed. The neonatal
cardiomyocytes were used for experiments after a further 2 or 3 days. y
y
pt
y
H9c2 rat cardiomyoblasts or neonatal cardiomyocytes were cultured in DMEM with 10% fetal bovine
serum (FBS) and 1% penicillin/streptomycin at 37 °C, 5% CO2. Medium was changed to fresh medium
(serum-free), and cells were cultured under anoxia with 95% N2 and 5% CO2 for 12 h at 37 °C, then
incubated in a standard incubator for 4 h (A/R)38. Cells were pretreated with PD98059 (20 μ M), wortmannin (10 nM), atropine (10 nM), pirenzepine
(1 μ M), AF-DX116 (100 nM), methoctramine (10 nM), or himbacine (1 μ M) for 30 min, then CST
(100 nM) or carbamoylcholine (100 μ M) for 30 min, then underwent A/R or were treated with the ER
stress inducers tunicamycin (5 μ g/mL, 8 h), dithiothreitol (5 mM, 4 h), or thapsigargin (5 μ M, 8 h).l y
g
g g
Cells at 40% to 50% confluence were transfected with siRNA or scramble siRNA (50 pM) by use of
Lipofectamine 2000 (Invitrogen), then incubated at 37 °C in a CO2 incubator for 48 h before A/R. Competitive receptor binding assay. Membranes were prepared from H9c2 cells as described39. Membrane protein was resuspended in HEPES buffer (20 mM HEPES, 1 mM MgCl2, pH 7.4). An amount
of 200 μ g membrane protein was incubated in 1 mL HEPES buffer containing 0.4 μ M [125I]-labeled
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N-methylscopolamine (NMS, 0.045 nM to 0.3 μ M) with and without AF-DX116 (50 nM). A control with
nothing added was included in each experiment. Binding was terminated by rapid vacuum filtration
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Financial disclosure: This work was supported by the Major State Basic Research Development Program
of the People’s Republic of China (nos 2012CB517806 and 2012CB517504) and the National Natural
Science Foundation of the People’s Republic China (nos. 81170235, 81470552, 91339106 and 81422006). g
inancial disclosure: This work was supported by the Major State Basic Research Development Program
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9. Jakubik, J., Randakova, A., El-Fakahany, E. E. & Dolezal, V. Divergence of allosteric effects of rapacuronium on binding and
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12. Meng, L. et al. Plasma catestatin level in patients with acute myocardial infarction and its correlation with ventricular remodelling. Postgrad Med J 89, 193–196 (2013). g
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f l 14. Zhu, D., Wang, F., Yu, H., Mi, L. & Gao, W. Catestatin is useful in detecting patients with stage B heart failure. Biomarkers 16,
691–697 (2011). 15. Wang, X. et al. Dramatic changes in catestatin are associated with hemodynamics in acute myocardial infarction. Biomarkers 16,
372–377 (2011). 16. Penna, C. et al. Catestatin improves post-ischemic left ventricular function and decreases ischemia/reperfusion injury in heart. Cell Mol Neurobiol 30, 1171–1179 (2010). Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 11 Additional Information Supplementary information accompanies this paper at http://www.nature.com/srepihi Competing financial interests: The authors declare no competing financial interests. How to cite this article: Liao, F. et al. Catestatin attenuates endoplasmic reticulum induced cell
apoptosis by activation type 2 muscarinic acetylcholine receptor in cardiac ischemia/reperfusion. Sci. Rep. 5, 16590; doi: 10.1038/srep16590 (2015). How to cite this article: Liao, F. et al. Catestatin attenuates endoplasmic reticulum induced cell
apoptosis by activation type 2 muscarinic acetylcholine receptor in cardiac ischemia/reperfusion. Sci. Rep. 5, 16590; doi: 10.1038/srep16590 (2015). 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 Com-
mons 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/ Scientific Reports | 5:16590 | DOI: 10.1038/srep16590 12
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The fauna of aquatic invertebrates in the river impacted by wastewaters from the pulp and paper industry (Komi Republic)
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Biodiversity data jurnal
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cc-by
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Maria Baturina , Olga Kononova , Elena Fefilova , Olga Loskutova
‡
‡
‡
‡ ‡ Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences, Syktyvkar, Russia Corresponding author: Maria Baturina (baturina@ib.komisc.ru), Olga Kononova (kon@ib.komisc.ru)
Academic editor: Florian Leese
Received: 16 Sep 2021 | Accepted: 13 Nov 2021 | Published: 17 Nov 2021
Citation: Baturina M, Kononova O, Fefilova E, Loskutova O (2021) The fauna of aquatic invertebrates in the river
impacted by wastewaters from the pulp and paper industry (Komi Republic). Biodiversity Data Journal 9:
e75362. https://doi.org/10.3897/BDJ.9.e75362 Corresponding author: Maria Baturina (baturina@ib.komisc.ru), Olga Kononova (kon@ib.komisc.ru)
Academic editor: Florian Leese
Received: 16 Sep 2021 | Accepted: 13 Nov 2021 | Published: 17 Nov 2021
Citation: Baturina M, Kononova O, Fefilova E, Loskutova O (2021) The fauna of aquatic invertebrates in the river
impacted by wastewaters from the pulp and paper industry (Komi Republic). Biodiversity Data Journal 9:
e75362. https://doi.org/10.3897/BDJ.9.e75362 Biodiversity Data Journal 9: e75362
doi: 10.3897/BDJ.9.e75362
Data Paper Biodiversity Data Journal 9: e75362
doi: 10.3897/BDJ.9.e75362
Data Paper Data Paper © Baturina M et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY
4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are
credited. The fauna of aquatic invertebrates in the river
impacted by wastewaters from the pulp and paper
industry (Komi Republic) Maria Baturina , Olga Kononova , Elena Fefilova , Olga Loskutova
‡
‡
‡
‡ Background Invertebrates are important elements of aquatic ecosystems and play a crucial role in the
transformation of matter and energy in continental water bodies. Communities of aquatic
invertebrates are characterised by high sensitivity to pollution by nutrients and toxic
substances and acidification of water bodies; they serve as good bioindicators of the
quality of the aquatic environment and impacts on hydroecosystems. All hydrobionts
participate in the processes of self-purification of water bodies. The presented dataset provides information on the aquatic invertebrate community of a
large northern river. During 2018-2020, we collected data on changes in the quantitative
indicators of the development of benthic and planktonic communities, as well as the
species diversity of their fauna. The dataset combines information about the occurrence
and abundance of benthic and planktonic invertebrates and summarises data of aquatic
invertebrate species found in the Vychegda River in the zone of influence from the pulp
and paper mill. Baturina M et al Baturina M et al 2 Keywords sampling event, benthos and plankton invertebrates, Oligochaeta, Cladocera, Copepoda,
Rotifera, Ephemeroptera, Plecoptera, Trichoptera, wastewaters, pulp and paper industry,
Vychegda River, Komi Republic New information The presented dataset is part of a monitoring programme of the river ecosystems in the
production area of Mondi Syktyvkar JSC (the European North-East of Russia, Komi
Republic). The dataset describes the structure of benthic invertebrate and plankton
communities in the Northern Dvina River Basin. The data on the finding and abundance of
large taxa of aquatic invertebrates and species of some groups: Oligochaeta, Cladocera,
Copepoda, Rotifera, Ephemeroptera, Plecoptera and Trichoptera are presented. In total,
the resource includes 8720 findings of invertebrates, of which 6041 are for zoobenthos
organisms and 2679 for zooplankton organisms. Introduction Freshwater ecosystems are complex, dynamic and diverse. However, they are more
vulnerable than marine and terrestrial environments and their biodiversity is declining much
faster (Darwall 2018, Schmidt-Kloiber et al. 2019). Currently, the main factor causingglobal
environmental problems, such as a reduction in biological diversity, destruction of biotopes,
climate change and rapid spread of alien species, is the anthropogenic impact (Alimov et
al. 2009). At the same time, there is an inverse correlation between water quality and
biodiversity: to maintain a satisfactory water quality, it is necessary to maintain functionally
active biodiversity of aquatic ecosystems (Ostroumov 2002). For freshwater environmental monitoring and biodiversity simulation, data on the structure
of communities are collected. Pooled species distribution data are now becoming an
important (and sometimes primary) source of information in biodiversity research. However, they are often likely to be incomplete. Data gaps for a number of geographic
areas and taxonomic groups, including aquatic invertebrates, exist and complicate access
to solve the problems associated with global ecological and biogeographic analyses
(Balian et al. 2008, Gaiji et al. 2009). Integration of data on findings of taxa is an important
objective to biodiversity studies and improving prediction of future environmental changes
(Shashkov et al. 2017). It is known (Culp et al. 2000, Baturina and Kononova 2021) that wastewater from pulp and
paper mills can negatively affect aquatic organisms and communities, changing their
composition and structure, as well as the biology of certain species. The Vychegda
(Northern Dvina River Basin) is one of thelargest rivers in the European North-East of
Russia; by the Basin area (the catchment size is 121,000 km ), it is the second largest
river in the Komi Republic. Taking into account its crucial role in the region, monitoring the
2 The fauna of aquatic invertebrates in the river impacted by wastewaters ... 3 state of the aquatic organisms inhabiting it is very important. After a prolonged large-scale
modernisation of the manufacturing facilities of the Mondi Syktyvkar JSC and a
reconstruction of the sewage treatment facilities, observations of the state of the river
communities acquired the monitoring character – they were carried out at permanent posts
from 2018 to 2020 as part of a joint project of the Mondi Syktyvkar JSC and the Institute of
Biology of Komi Scientific Center of the Ural Branch of the Russian Academy of Sciences. The presented dataset (Baturina et al. General description Purpose: The main purpose of the work was to prepare a dataset on sample occurrences
of zoobenthos and zooplankton invertebrates in the zone impacted by wastewaters from
the pulp and paper industry (Komi Republic, Vychegda River). For datasets on sample
occurrences, data from 2018 to 2020 were included and, during the period of monitor
observations, a basis was prepared for assessing and analysing changes in: (1)
quantitative indicators of the development of zoobenthos and zooplankton communities
and (2) species diversity of aquatic invertebrate fauna, under the impact of wastewaters
from the pulp and paper industry (Komi Republic, Vychegda River). Introduction 2021b) provides information on the current state of
diversity and species richness of the Vychegda River in the zone affected by large
industrial production and can serve as a basis for water quality monitoring. It is associated
with scientific articles (Baturina et al. 2021, Kononova 2021, Baturina et al. 2021a,
Kononova 2021) and is an important study on the taxonomic diversity and abundance
dynamics of aquatic organisms in the zone of active manufacturing, using the example of a
pulp and paper mill. There is an opinion (Fefilova et al. 2021) that the fauna of aquatic
invertebrates in the Russian part of the Arctic is poorly studied. The information presented in this work enriches the fundamental knowledge about the
composition of zooplankton and zoobenthos in northern rivers. This information is
important both for assessing regional resources in order to carry out nature conservation
measures and for studying the biogeography of freshwater invertebrates, for a detailed and
in-depth analysis of the distribution of certain species or groups and for determining their
ranges and ecology. Title: "Russia 2021" Distribution, systematics and spatial organisation of the aquatic invertebrate fauna in a
northern river impacted by wastewaters from the pulp and paper industry (Komi Republic,
Vychegda River). Assessment of long-term impact of paper mill industry on the biological diversity in the
production area. Baturina M et al 4 4 Study area description: All material was collected in the European part of Russia, Komi
Republic: Vychegda River Vychegda is the largest right tributary of the Northern Dvina River. It flows through the
territory of the Komi Republic and the Arkhangelsk Oblast (). The length of the river is
1,130 km, the catchment area is 121,000 km . Vychegda is a typical lowland river. The
average density of the river network in the Vychegda River basin is 0.62 km/km . Vychegda belongs to rivers with incomplete meandering. Its discharge ranges from 162 to
601 m /s. In the river bed of the Vychegda River, the top (346 km long), middle (489 km
long) and bottom (296 km long) parts are distinguished. 2
2
3 Our study area is located in the middle reaches of the river. The Middle Vychegda Basin
occupies a vast valley; the floodplain is wide, usually bilateral, boggy, with numerous
channels. Low-level, sloping shores alternate with high steep ones (3–18 m). The riverbed
has a width of 100 to 680 m. There are many shallows and low alluvial sandy islands; the
bottom of the river consists of sand, clay and pebbles. The current velocity is from 0.3–0.6
m/s (summer low water) to 1.5–1.8 m/s (high water) (Taskaev 1997). The ecosystem of the
Vychegda River is experiencing a strong anthropogenic load as a result of municipal,
agricultural and industrial effluents. In the waters of the river, a number of chemical
elements and compounds exceed the Maximum Permissible Concentrations (MPC)
(Kondratenok 2020). In some sections of the river, there is an increased temperature
background (Elsakov and Shchanov 2016), which is the result of the inflow of wastewater
from the sewage treatment facilities of the Mondi Syktyvkar JSC and the municipal
wastewater of the City of Syktyvkar into the channel. The temperature increase over the
background values is observed in the area over a distance up to 15 km from the
source(Fig. 1). The research was carried out in zone impacted by wastewaters of Mondi Syktyvkar JSC, in
the middle reaches of the Vychegda River. Title: "Russia 2021" On the section of the river (55 km long), seven
sampling sites were selected: IB – background zone, above the zone of direct influence of
wastewater from the pulp and paper industry (near Sedkyrkeshch Village), I – zone of
direct influence of wastewater from the pulp and paper industry, II – 22.8 km lower than
point I (near Kochchojyag Village), III – 6.4 km lower than point II (near Sluda Village), IV –
zone of direct influence of wastewater from the pulp and paper industry (near Gavrilovka
Village), V – 11.8 km lower than point IV (near Sotchem-vyv Village) and VI – 5.5 km lower
than point V (near Ust'-Pozheg Village). Throughout the period of our studies, weather conditions changed from year to year. For
instance, in 2018 and 2020, the temperature indicators were similar: the average monthly
air temperature in July reached +19.5°С and 20.0°С, respectively. In July 2019, the lowest
average monthly temperature over the period of our work was registered: +15.4°C (with a
deviation from the norm by -2.1°C). The water temperature in the studied section of the
river varied in accordance with the air temperature. The minimum water temperature
values were registered in July 2019: from 16.3°C to 17.1°C. In warmer 2018 and 2020, the
July water temperature ranged from 21.8°C to 25.8°C and from 23.8°C to 24.7°C,
respectively. Water levels at the time of sampling in 2018 and 2019 were similar. However, The fauna of aquatic invertebrates in the river impacted by wastewaters ... 5 in 2018, sampling was conducted during the period of an intensive decrease in the water
level, and, in 2019 – during the period of an intensive rise in the water level due to
significant precipitation. In 2020, during the sampling period, the water level was
significantly lower than in the previous two years (Patova et al. 2021). Our studies in
2018-2020 showed improvement of the quality of the river water in places of discharge of
wastewater and changes in the environmental situation in connection with the
modernisation of the treatment facilities of the Mondi Syktyvkar JSC (in 2014-2019). In
2020, concentrations of some ions in wastewater discharge sites: Cl-, SO42-, PO43-,
NH4+, Stat, K, Na, phenol, as well as COD, permanganate value, turbidity and, electrical
conductivity increased relative to background points (Patova et al. 2021). Design description: The Dataset (Baturina et al. Title: "Russia 2021" 2021b) provides current data on aquatic
invertebrates fauna (zooplankton and zoobenthos) of the Vychegda River (the Northern
Dvina Basin) in the zone impacted by wastewaters from the pulp and paper industry
(Mondi Syktyvkar JSC). The goal of the project is to prepare a basis for assessing and
analysing changes in benthic invertebrate and plankton communities and species diversity
of aquatic invertebrate, under the influence of treated wastewater from the pulp and paper
production. The collection of hydrobiological samples was carried out mainly during the
summer dry season. Standard hydrobiological methods were used. The data mainly
concern the description of the species composition of each hydrobiological sample. Data
include 23 taxonomic groups of zoobenthos and 152 lower-rank taxa for some groups:
Oligochaeta, Mollusca, Cladocera, Copepoda, Coleoptera, Ephemeroptera, Plecoptera,
Figure 1. The map of the study area. Figure 1. The map of the study area. Design description: The Dataset (Baturina et al. 2021b) provides current data on aquatic
invertebrates fauna (zooplankton and zoobenthos) of the Vychegda River (the Northern
Dvina Basin) in the zone impacted by wastewaters from the pulp and paper industry
(Mondi Syktyvkar JSC). The goal of the project is to prepare a basis for assessing and
analysing changes in benthic invertebrate and plankton communities and species diversity
of aquatic invertebrate, under the influence of treated wastewater from the pulp and paper
production. The collection of hydrobiological samples was carried out mainly during the
summer dry season. Standard hydrobiological methods were used. The data mainly
concern the description of the species composition of each hydrobiological sample. Data
include 23 taxonomic groups of zoobenthos and 152 lower-rank taxa for some groups:
Oligochaeta, Mollusca, Cladocera, Copepoda, Coleoptera, Ephemeroptera, Plecoptera, 6 Baturina M et al 6 Trichoptera and 120 taxa of zooplankton (Rotifera, Cladocera, Copepoda). A total of 8720
findings are included in the resource. Trichoptera and 120 taxa of zooplankton (Rotifera, Cladocera, Copepoda). A total of 8720
findings are included in the resource. Funding: The Ministry of Education and Science of the Russian Federation. Project No
АААА-А17-117112850235-2 "Distribution, systematics and spatial organization of fauna
and animals population in taiga and tundra landscapes and ecosystems at the Northeast
European Russia"; agreement with Mondi Syktyvkar JSC № 45-2018/180405 "Assessment
of long-term impact of Mondi Syktyvkar JSC on the biological diversity in the production
area". Sampling methods Study extent: (Fig. 2) The data paper is based on one dataset (8720 occurrences). Figure 2. Figure 2. The map of the research area (from Patova et al. 2021). Figure 2. Figure 2. The map of the research area (from Patova et al. 2021). The dataset provides information on the number of individuals of aquatic invertebrates in
zoobenthos samples and the number of individuals per cubic metre in zooplankton
samples. Hydrobiological samples were collected on the part of the river located in the
zone influenced by the pulp and paper industry (Mondi Syktyvkar JSC). Sampling description: The research was carried out in zone impacted by wastewaters of
Mondi Syktyvkar JSC, in the middle reaches of the Vychegda River. The material includes
data collected during the period of modernisation of the enterprise. The fauna of aquatic invertebrates in the river impacted by wastewaters ... The fauna of aquatic invertebrates in the river impacted by wastewaters ... 7 7 On the section of the river (55 km long), seven points were selected (Fig. 2), which are
located at different distances from the wastewater inflow locations of wastewaters
discharge of the enterprise (Mondi Syktyvkar JSC). At each point, 2-3 samples of
zoobenthos and 2-3 samples of zooplankton were taken, from the right, left bank and
middle of the river (if possible). The studies were carried out in July 2018-2020. On the section of the river (55 km long), seven points were selected (Fig. 2), which are
located at different distances from the wastewater inflow locations of wastewaters
discharge of the enterprise (Mondi Syktyvkar JSC). At each point, 2-3 samples of
zoobenthos and 2-3 samples of zooplankton were taken, from the right, left bank and
middle of the river (if possible). The studies were carried out in July 2018-2020. Zooplankton samples were collected using plankton nets with subsequent filtration through
mesh nylon nets with 82-100 µm mesh size (Morduhaj-Boltovskoj 1975). Quantitative
zoobenthic samples were taken from different depths (from 0.5 to 3.5 m). For each point, a general description of the studied river was done and pH, mineralisation
and temperature were measured. The identification of organisms was carried out according
to the keys to freshwater invertebrates. More than 40 % of taxa (10 of model groups from
24 groups of zooplankton and zoobenthos) were determined up to the species level or
genus. Geographic coverage Description: The studied area is located in the middle part of the Vychegda River
(Еuropean North-East of Russia, Komi Republic) (Fig. 1). The Vychegda is the largest right
tributary of the Northern Dvina River. The study was carried out in the areas impacted by
wastewaters from the Mondi Syktyvkar JSC, which is the largest pulp and paper industry
enterprise in the European part of Russia. On the section of the river (55 km long), seven points were selected (Fig. 2): IB –
background zone, above the zone directly influenced bywastewaters from the pulp and
paper industry, I – zone directly influenced by wastewater from the pulp and paper industry,
II – 22.8 km lower than point I, III – 6.4 km lower than point II, IV – zone directly influenced
by wastewater from the pulp and paper industry, V – 11.8 km lower than point IV, VI – 5.5
km lower than point V. The dataset includes data on aquatic invertebrates from 40 zoobenthos samples and 23
zooplankton samples. Baturina M et al 8 Baturina M et al 8 (Zinchenko 2014) for zoobenthosand a net with mesh nylon nets (82–100 μm) for
zooplankton (Morduhaj-Boltovskoj 1975). Samples were preserved in 4% formaldehyde (in
the field) and examined under light microscopes in the laboratory. Further identification of
aquatic invertebrates was carried out in laboratory conditions. The identification of species
of invertebrates was carried out with the preparation of temporary or permanent
specimens, under a microscope using keys to identify each taxonomic group. For each
sample, the following were described: collection date, locality (with geographic
coordinates), device description, sampling depth, water temperature,
habitat (with
substrate type, aquatic vegetation type, distance to the zone impacted by wastewaters
from the Mondi Syktyvkar JSC), collector name, identificator name. For some species,
permanent preparations have been made. Design of sampling was based on the regular
arrangement. The material includes data collected during the period of modernisation and
reduction of emissions of the enterprise. (Zinchenko 2014) for zoobenthosand a net with mesh nylon nets (82–100 μm) for
zooplankton (Morduhaj-Boltovskoj 1975). Samples were preserved in 4% formaldehyde (in
the field) and examined under light microscopes in the laboratory. Further identification of
aquatic invertebrates was carried out in laboratory conditions. The identification of species
of invertebrates was carried out with the preparation of temporary or permanent
specimens, under a microscope using keys to identify each taxonomic group. For each
sample, the following were described: collection date, locality (with geographic
coordinates), device description, sampling depth, water temperature,
habitat (with
substrate type, aquatic vegetation type, distance to the zone impacted by wastewaters
from the Mondi Syktyvkar JSC), collector name, identificator name. For some species,
permanent preparations have been made. Design of sampling was based on the regular
arrangement. The material includes data collected during the period of modernisation and
reduction of emissions of the enterprise. Sampling methods Each sample was provided with a description that includes: collection date, locality (with
geographic coordinates), device description, depth of sampling, water temperature, habitat
(with substrate type, aquatic vegetation type, distance to the zone impacted by
wastewaters from the Mondi Syktyvkar JSC), collector name, determined by
(identification). Quality control: The data were collected and identified by specialists from the Institute of
Biology of Komi Scientific Center of the Ural Branch of the Russian Academy of Sciences. Morphological analysis of specimens were performed using compound microscopes
BIMAM R13-1 and Leica DM 4000B. Most of the Rotifera, Cladocera and Copepoda
organisms from zooplankton samples and Oligochaeta, Cladocera, Copepoda, Coleoptera,
Ephemeroptera, Plecoptera and Trichoptera from benthos samples were identified to the
species level. The rest of the organisms from benthos samples were identified only as
higher level taxa. For identification of species and higher-level taxa, we used both
standards keys and data reported in modern studies specifically addressing the taxonomy
of these groups (Rylov 1948, Chekanovskaja 1962, Lepneva 1964, Manujlova 1964,
Smirnov 1971, Smirnov 1976, Kutikova 1977, Kutikova and Starobogatov 1977, Dumont
and Pensaert 1983, Elliott et al. 1988, Lillehammer 1988, Koste and Shiel 1989, Boruckij et
al. 1991, Shiel and Koste 1992, Tsalolikhin 1994, Nogrady et al. 1995, Segers 1995,
Tsalolikhin 1995, De Smet 1996, De Smet 1997, Tsalolikhin 1997, Narchuk and Tumanov
2000, Tsalolikhin 2001, Nogrady and Segers 2002, Ueda and Reid 2003, Korovchinsky
2004, Starobogatov et al. 2004, Kotov and Stifter 2006, Teslenko and Zhiltzova 2009,
Timm 2009, Alekseev 2010, Chertoprud and Chertoprud 2010, Bekker et al. 2012,
Krivosheina 2012, Klimovsky and Kotov 2015, Tsalolikhin 2016, Wilke et al. 2019). Step description: The dataset included our own species list of plankton and benthos fauna
of the Vychegda River, based on 63 zooplankton and zoobenthos samples collected in
2018-2020. Samples were taken by standard hydrobiological methods using the Petersen
dredge (sampling area 0.025 m ), while those from shallow depths and on rocky bottoms
(i.e. gravel) were collected by a hydrobiological scraper (0.09 m ) with mesh size ≤158 μm
2
2 Taxonomic coverage Description: The dataset contains information obtained from sampling for aquatic
invertebrates (zooplankton and zoobenthos) (Table 1). Some invertebrates were identified
from type to species or taxa (subspecies) of a lower rank. The dataset includes detailed
information: 1. taxa (family, genus, species, subspecies) of some (model) groups of
zoobenthos: Oligochaeta (1720 occurrences), Mollusca (161), Cladocera (680), Copepoda
(680), Coleoptera (160) , Ephemeroptera (1120), Plecoptera (240), Trichoptera (480) and
Diptera (360); 2. taxa of the highest rank of zoobenthos groups: Hydrozoa, Nematoda,
Hirudinea, Ostracoda, Tardigrada, Hydrachnidia, Araneae, Collembola, Hemiptera,
Megaloptera and Odonata (440 occurrences); 3. taxa (species, subspecies) of
zooplankton: Rotifera (1638), Cladocera (762) and Copepoda (279). A total of 8720 The fauna of aquatic invertebrates in the river impacted by wastewaters ... The fauna of aquatic invertebrates in the river impacted by wastewaters ... 9 occurrences are included in the resource. In the dataset, full taxonomic affiliation is given
for each record, including: Type, Class, Subclass, Order, Family, Subfamily, Genus,
Subgenus, Species, lifestage, individuals per sample (for zoobenthos) and individuals per
m (for zooplankton). 3 (
p
)
Rank
Scientific name
Common name
phylum
Cnidaria
class
Hydrozoa
hydras
phylum
Nematoda
nematodes
Phylum
Rotifera
rotifers
class
Eurotatoria
subclass
Bdelloidea
order
Bdelloida
subclass
Monogononta
order
Ploima
order
Flosculariacea
phylum
Tardigrada
tardigrades
phylum
Annelida
class
Clitellata
subclass
Oligichaeta
oligochaetes
order
Tubificida
order
Lumbriculida
order
Enchytraeida
subclass
Hirudinea
leeches
phylum
Mollusca
shellfish
class
Gastropoda
phylum
Arthropoda
class
Branchiopoda
subclass
Diplostraca
order
Anomopoda
order
Ctenopoda
order
Onychopoda
order
Haplopoda
Table 1. List of taxa. 10 Baturina M et al Baturina M et al Rank
Scientific name
Common name
class
Hexanauplia
subclass
Copepoda
copepods
order
Cyclopoida
order
Harpacticoida
class
Ostracoda
ostracods
class
Hydrachnidia
water mites
class
Arachnida
order
Araneae
spiders
class
Collembola
springtail
class
Insecta
insects
order
Hemiptera
bedbugs
subclass
Pterygota
order
Ephemeroptera
mayflies
order
Plecoptera
stoneflies
order
Megaloptera
alderflies
order
Coleoptera
beetles
order
Trichoptera
caddisflies
order
Odonata
dragonflies
order
Diptera
flies Our study showed how wastewater from a pulp and paper mill can affect aquatic
invertebrates. For this purpose, we chose six sampling sites in the middle reaches of the
Vychegda River, in the zone affected by the treated wastewater of the Mondi Syktyvkar
JSC at different distances from the wastewater discharge points. According to the state of
invertebrate communities in general, the river waters in the studied area can be classified
as "oligotrophic" (in terms of zooplankton) or "satisfactory" (in terms of zoobenthos). Taxonomic coverage The
exception is the sites located downstream of the wastewater discharge points that are
classified as "eutrophic" (in terms of zooplankton) and the treated wastewater discharge
points which are classified as "unsatisfactory" (in terms of zoobenthos). However, given the
high indicators of the quantitative development of aquatic invertebrate communities and
their high species diversity, we can say that there is no toxic effect of wastewater in the
studied area, but there are processes of anthropogenic eutrophication of the river. Analysis of the species composition of model groups – microcrustaceans, oligochaetes,
non-chironomid amphibiotic insects – revealed a sufficiently high level of community
diversity. The diversity in the groups varied depending on the sampling site, but the
differences in values for most of the sites were insignificant. The greatest diversity for all
groups was observed at points III and V. The fauna of aquatic invertebrates in the river impacted by wastewaters ... The fauna of aquatic invertebrates in the river impacted by wastewaters ... 11 11 Amongst all the diversity of species of aquatic invertebrates found in the investigated
section of the Vychegda River, we noted new species for the regional fauna, Elaphoidella
bidens (Schmeil, 1983) and Moina macrocopa (Straus, 1820), as well as a rare species,
Brachycercus harisella (Curtis, 1834), listed in the Red Book of the Komi Republic. Amongst all the diversity of species of aquatic invertebrates found in the investigated
section of the Vychegda River, we noted new species for the regional fauna, Elaphoidella
bidens (Schmeil, 1983) and Moina macrocopa (Straus, 1820), as well as a rare species,
Brachycercus harisella (Curtis, 1834), listed in the Red Book of the Komi Republic. Temporal coverage Notes: Data sources provided the dates when the species was detected for the first time in
the zone impacted by wastewaters from the pulp and paper enterprise of the 8720
occurrences included in the dataset. The earliest first record dates back to 2018 and the
most recent event occurred in 2020. Field studies of zoobenthos were carried out on 23, 24 July 2018, 13-17 July 2019 and 20,
21 July 2020. At each point, from two to five samples were taken. In points I and IV was
carried out annually, in item III - in 2018 and 2019, the rest were collected once. Usage licence Usage licence: Creative Commons Public Domain Waiver (CC-Zero) IP rights notes: IP rights notes: This work is licensed under a Creative Commons
Attribution (CC-BY) 4.0
License IP rights notes: IP rights notes: This work is licensed under a Creative Commons
Attribution (CC-BY) 4.0 License. Data resources Data package title: The fauna of aquatic invertebrates in the river impacted by
wastewaters from the pulp and paper industry (Komi Republic) Number of data sets: 1 Download URL: 5a6c4b09-bd03-4a8a-b673-4a5d5430eea2, http://ib.komisc.ru:8088/
ipt/resource?r=cop Data format: Darwin Core Archive format 12 Baturina M et al scription: The dataset includes two tables related by the eventID field – Events and
sociated occurrences Associated occurrences
Column label
Column description
eventID (Event Core)
An identifier for the event (layer). eventDate (Event Core)
The date-time or interval during which an Event occurred. year (Event Core)
The year in which the Event occurred, according to the Common Era
Calendar. month (Event Core)
The month in which the Event occurred. day (Event Core)
The day in which the Event occurred. habitat (Event Core)
A category or description of the habitat in which the Event occurred. verbatimDepth (Event Core)
The original description of the depth below the local surface. eventRemarks (Event Core)
Comments or notes about the Event. samplingProtocol (Event Core)
The descriptions of the methods used during an Event. sampleSizeValue (Event Core)
A numeric value for a measurement of the size of a sample in a sampling
event. sampleSizeUnit (Event Core)
The unit of measurement of the size (time duration, length, area or volume)
of a sample in a sampling event. locationID (Event Core)
An identifier for the set of location information. continent (Event Core)
The name of the continent in which the Location occurs. country (Event Core)
The name of the country in which the Location occurs. countryCode (Event Core)
The standard code for the country in which the Location occurs. stateProvince (Event Core)
The name of the next smaller administrative region than country (republic)
in which the Location occurs. locality (Event Core)
The specific description of the place. locationRemarks (Event Core)
Comments or notes about the Location. decimalLatitude (Event Core)
The geographic latitude. decimalLongitude (Event Core)
The geographic longitude
geodeticDatum (Event Core)
The ellipsoid, geodetic datum or spatial reference system (SRS) upon
which the geographic coordinates given in decimalLatitude and
decimalLongitude are based. georeferencedBy (Event Core)
A list of names of people who determined the georeference (spatial
representation) for the Location. The fauna of aquatic invertebrates in the river impacted by wastewaters ... 13 coordinateUncertaintyInMetres (Event
Core)
The horizontal distance (in metres) from the given decimalLatitude and
decimalLongitude describing the smallest circle containing the whole of the
Location. occurrenceID (Occurrence Extension)
An identifier for the Occurrence. basisOfRecord (Occurrence
Extension)
The nature of the related resource. Phylum (Occurrence Extension)
The full scientific name of the phylum or division in which the taxon is
classified. Acknowledgements We are grateful to employees of Institute of Biology (Syktyvkar, Russia) for their help in
field material collecting, to Ivan Chadin (Syktyvkar, Russia) for participation in hosting the
datasets on GBIF. The research was conducted within the framework of the state
assignment topic "Distribution, systematics and spatial organization of fauna and animals
population in taiga and tundra landscapes and ecosystems at the Northeastern European
Russia" (no. AAAA-A17-117112850235-2), with the financial support of the project
"Assessment of long-term impact of Mondi Syktyvkar JSC on the biological diversity in the
production area" (Аgreement no. 45-2018/180405). Baturina M et al 14 Baturina M et al A list of publication of literature associated with the Occurrence. Author contributions Maria Baturina took part in fieldwork, processing of the zoobenthic samples, identified
benthic invertebrates and Oligochaeta species and wrote the metadata description and
manuscript. Olga Kononova took part in processing of the zooplankton samples, identified plankton
species (Copepoda, Cladocera, Rotifera), prepared the dataset and wrote the manuscript. Elena Fefilova took part in fieldwork, identified species meiobenthic Crustacea (Cladocera,
Cyclopoida, Harpacticoida) prepared the dataset and wrote the manuscript. Olga Loskutova took part in identified species amphibiotic Insecta (Ephemeroptera,
Plecoptera, Trichoptera) prepared the dataset. Olga Loskutova took part in identified species amphibiotic Insecta (Ephemeroptera,
Plecoptera, Trichoptera) prepared the dataset. Number of data sets: 1 Class (Occurrence Extension)
The full scientific name of the class in which the taxon is classified. order (Occurrence Extension)
The full scientific name of the order in which the taxon is classified. family (Occurrence Extension)
The full scientific name of the family in which the taxon is classified. genus (Occurrence Extension)
The full scientific name of the genus in which the taxon is classified. specificEpithet (Occurrence
Extension)
The name of the first or species epithet of the scientificName. infraspecificEpithet (Occurrence
Extension)
The name of the lowest or terminal infraspecific epithet of the
scientificName, excluding any rank designation. identificationQualifier (Occurrence
Extension)
A brief phrase or a standard term ("cf.", "aff.") to express the determiner's
doubts about the Identification. scientificNameAuthorship
(Occurrence Extension)
The authorship information for the scientificName formatted according to
the conventions of the applicable nomenclaturalCode. scientificName (Occurrence
Extension)
The full scientific name, with authorship and date information, if known. organismRemarks (Occurrence
Extension)
Comments or notes about the Organism instance. taxonRank (Occurrence Extension)
The taxonomic rank of the most specific name in the scientificName. Lifestage (Occurrence Extension)
The age class or life stage of the Organism(s) at the time the Occurrence
was recorded. organismQuantityType (Occurrence
Extension)
The type of quantification system used for the quantity of organisms. individualCount (Occurrence
Extension)
The number of individuals present at the time of the Occurrence. occurrenceStatus (Occurrence
Extension)
A statement about the presence or absence of a Taxon at a Location. recordedBy (Occurrence Extension)
A list of names of people responsible for recording the original Occurrence. identifiedBy (Occurrence Extension)
A list of names of people who assigned the Taxon to the subject. The fauna of aquatic invertebrates in the river impacted by wastewaters ... 15 15 •
Baturina M, Kononova O, Fefilova E, Loskutova O (2021b) The fauna of aquatic
invertebrates in the river impacted wastewaters of pulp and paper industry (Komi
Republic). Institute of Biology of Komi Scientific Centre of the Ural Branch of the
Russian Academy of Sciences. GBIF. Sampling event dataset. https://doi.org/
10.15468/9dpp55 •
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In Vitro Stimulation of Multidrug Resistance-Associated Protein 2 Function Is Not Reproduced In Vivo in Rats
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Pharmaceutics
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cc-by
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Received: 29 June 2018; Accepted: 31 July 2018; Published: 8 August 2018 Abstract: Previously we reported that coproporphyrin-I (CP-I) is an optimal probe substrate for
multidrug resistance-associated protein 2 (MRP2), and stimulation of MRP2-mediated transport is
probe substrate-dependent. In the present investigation, we assessed if the in vitro stimulation is
physiologically relevant. Similar to human MRP2 transport, CP-I was transported by rat Mrp2 in
a typical Michaelis-Menten kinetics with apparent Km and Vmax values of 15 ± 6 µM and 161 ±
20 pmol/min/mg protein, respectively. In vivo Mrp2 functions were monitored by biliary and renal
secretion of CP-I and its isomer CP-III, in bile-duct cannulated rats before and after treatment with
mitoxantrone, progesterone, and verapamil. These compounds stimulated Mrp2-mediated CP-I
transport in vitro. No significant increase in biliary or renal clearances, as well as in the cumulative
amount of CP-I or CP-III eliminated in bile, were detected following treatment with the in vitro
stimulators, indicating an in vitro to in vivo disconnect. In presence of 10 µM bilirubin, the in vitro
stimulation was suppressed. We concluded that the in vitro stimulation of CP-I transport mediated
by Mrp2 is not translatable in vivo, and proposed that the presence of endogenous compounds such
as bilirubin in the liver may contribute to the in vitro to in vivo disconnect. Keywords: ABCC2; MRP2; in vitro stimulation; drug transporter; coproporphyrin Ravindranath Reddy Gilibili 1,†, Vishwanath Kurawattimath 1,†, Bokka Venkata Murali 1,
Yurong Lai 2, T. Thanga Mariappan 1, Hong Shen 3 and Sagnik Chatterjee 1,* 1
Pharmaceutical Candidate Optimization, Biocon Bristol-Myers Squibb R&D Center (BBRC),
Syngene International Ltd., Bangalore 560100, India; ravindra.reddy@syngeneintl.com (R.R.G.);
Vishwanath.Kurawattimath@syngeneintl.com (V.K.); Venkata.murali@syngeneintl.com (B.V.M.);
Thanga.Mariappan@syngeneintl.com (T.T.M.) 1
Pharmaceutical Candidate Optimization, Biocon Bristol-Myers Squibb R&D Center (BBRC),
Syngene International Ltd., Bangalore 560100, India; ravindra.reddy@syngeneintl.com (R.R.G.);
Vishwanath.Kurawattimath@syngeneintl.com (V.K.); Venkata.murali@syngeneintl.com (B.V.M.);
Thanga.Mariappan@syngeneintl.com (T.T.M.) 1
Pharmaceutical Candidate Optimization, Biocon Bristol-Myers Squibb R&D Center (BBRC),
Syngene International Ltd., Bangalore 560100, India; ravindra.reddy@syngeneintl.com (R.R.G.);
Vishwanath.Kurawattimath@syngeneintl.com (V.K.); Venkata.murali@syngeneintl.com (B.V.M.);
Thanga.Mariappan@syngeneintl.com (T.T.M.) 2
Department of drug metabolism, Gilead Sciences Inc., Foster City, CA 94404, USA; Yurong.Lai@gilead.com
3
Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Company, 3551 Lawrenceville Road,
Princeton, NJ 08540, USA; hong.shen1@bms.com 2
Department of drug metabolism, Gilead Sciences Inc., Foster City, CA 94404, USA; Yurong.Lai@gilead.com
3
Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Company, 3551 Lawrenceville Road,
Princeton, NJ 08540, USA; hong.shen1@bms.com g
*
Correspondence: sagnik.chatterjee@syngeneintl.com; Tel.: +91-80-6633-4084 †
These authors contributed equally to this work. †
These authors contributed equally to this work. In Vitro Stimulation of Multidrug
Resistance-Associated Protein 2 Function
Is Not Reproduced In Vivo in Rats Ravindranath Reddy Gilibili 1,†, Vishwanath Kurawattimath 1,†, Bokka Venkata Murali 1,
Yurong Lai 2, T. Thanga Mariappan 1, Hong Shen 3 and Sagnik Chatterjee 1,* pharmaceutics pharmaceutics pharmaceutics pharmaceutics Pharmaceutics 2018, 10, 125; doi:10.3390/pharmaceutics10030125 www.mdpi.com/journal/pharmaceutics 1. Introduction It is becoming increasingly evident that multidrug resistance-associated protein 2 (MRP2/Mrp2,
denoted by gene ABCC2/Abcc2) plays an important role in disposition and elimination to regulate
pharmacokinetics and pharmacodynamic of xenobiotics [1,2]. MRP2 is located in the canalicular
membrane of hepatocytes but also in the apical (luminal) membrane of enterocytes and renal proximal
tubule cells [3]. In hepatocytes, MRP2 facilitates the efflux of glucuronide and glutathione conjugates
of endobiotics, such as bilirubin conjugates and dianionic bile acids [4], as well as few anionic
xenobiotics, such as methotrexate [5]. The inhibition of MRP2 activity is therefore important for
drug hepatic disposition and elimination, and can cause potential drug-drug interactions (DDI) and
hepatotoxicity [6]. For example, a two-fold increase in methotrexate plasma levels due to MRP2
polymorphism has been reported [7]. However, changes in MRP2 activity in vivo is usually associated Pharmaceutics 2018, 10, 125; doi:10.3390/pharmaceutics10030125 www.mdpi.com/journal/pharmaceutics 2 of 15 Pharmaceutics 2018, 10, 125 with profound changes in liver exposure, and minor/no effect on plasma exposure, and therefore it
usually remains undetected [8]. Recently, it was shown that atorvastatin liver concentration increases
1.64-fold, in the presence of metformin, an Mrp2 inhibitor, without affecting the plasma exposure in
Sprague Dawley (SD) rats [9]. Interactions with MRP2 are commonly characterized in vitro, in an inverted membrane vesicle
expressing MRP2/Mrp2 in the presence of ATP. Decrease or increase in ATP-dependent transport of
probe substrates in the presence of an interacting compound suggest either inhibition or stimulation. To investigate if a compound is an inhibitor of MRP2/Mrp2, estradiol 17-β-glucuronide (E17βG) is
widely used as a probe substrate [1]. However, many compounds such as indomethacin, diclofenac,
and benzbromarone are reported to “modulate” the transport of E17βG [10–13]. Modulation refers to
stimulation at lower concentrations of the compound, followed by inhibition at higher concentration,
providing a “bell-shaped” curve in a percent (%) transport against interacting compound concentration
plots. The compounds that impart similar profile to the transport of probe substrates are henceforth
termed as modulators or stimulators interchangeably in this article. The presence of a modulation
site, in addition to active transport site in the MRP2 protein, is proposed to explain the modulation
and “bell-shaped” curve [10,14,15]. There are two manuscripts that explored the in vivo relevance
of the in vitro stimulation of Mrp2, in rats. Heredi-Szabo et al. used indomethacin as a stimulator
and reported that indomethacin modestly decreases the half-life (40%) and increases E17βG biliary
clearance [16]. 1. Introduction In addition, Ito et al. used benzyl penicillin as a stimulator and found that biliary
clearance of glutathione (GSH) and bile flow were transiently enhanced (about four-fold for GSH and
two-fold for bile flow) [17]. However, in vivo relevance of the substrate-dependence of in vitro MRP2
stimulation remains unknown. In addition, there are no reports of any clinical drug-drug interaction
or toxicity that has been attributed to this stimulation. This raises questions on the in vivo relevance of
in vitro stimulation of MRP2-mediated probe substrate transport. Recently, we demonstrated that coproporphyrin-I (CP-I) is an optimal probe substrate for
MRP2 [10]. CP-I is a byproduct of heme biosynthesis and its physiological role is not yet clear. The uptake of CP-I in MRP2-overexpressing membrane vesicles follows a typical Michaelis-Menten
equation with a low Km value of 7.7 µM. When CP-I is used as a MRP2 probe for in vitro
characterization of MRP2 inhibition, a lower percentage of compounds were found to stimulate
MRP2 mediated transport, compared to E17βG [10]. In our study using 97 compounds, we found
51 (53%) to stimulate MRP2-mediated E17βG transport, while only 8 out of 47 (17%) compounds
stimulated the transport of CP-I, while 30 compounds were found to inhibit CP-I transport [10]. The results suggest that the stimulation appeared to be a probe substrate-dependent phenomenon,
rather than an intrinsic property of the transporter. Furthermore, the stimulators shared the basic
backbone structures of physiological steroids, which raises a question of potential in vivo physiological
relevance of in vitro stimulation of MRP2-mediated CP-I transport [10]. The aim of the current study was to investigate whether the compounds that stimulated
Mrp2-mediated CP-I transport in vitro, also stimulate Mrp2-mediated CP-I transport in vivo. Mrp2-mediated in vivo transport is appreciated by measuring biliary clearance of CP-I and its isomer
CP-III in rats, in the presence of selected stimulators. The stimulation of CP-I transport in rat Mrp2
transfected membrane vesicles was confirmed and a mechanistic understanding for the perceived
in vitro to in vivo disconnect put forward with potential in vitro evidence. 2.2. Animals Male Sprague Dawley rats weighing 300 to 350 g (10–12 weeks of age) were obtained from
Vivo Bio Tech Ltd., Hyderabad (India). All animal experiments were conducted in the animal
research facility of Syngene International Ltd., Bangalore, India, after obtaining approval of the
Institutional Animal Ethics Committee (Approval details: Title: Investigation of Metabolism and
Elimination pathways of New Chemical Entities (NCEs) in rats; SYNGENE/IAEC/858/07-2017;
Principal Investigator/Research Scholar: Mr. Vishwanath K M). The committee was registered for
the Purpose of Control and Supervision on Experiments on Animals and accredited by Association
for Assessment and Accreditation of Laboratory Animal Care International. The animals were fed a
standard laboratory rodent diet (Tetragon Chemie Pvt. Ltd., Bangalore, India) and housed at room
temperature (22 ± 3 ◦C) and relative humidity of 50 ± 20% on a 12-h light and dark cycle. Water
was provided ad libitum throughout the study. An intravenous solution formulation of mitoxantrone
(6 and 15 mg/mL) and verapamil (10 mg/mL) were formulated as a solution by using 100% saline. Progesterone (1 mg/mL) was formulated using a solution of dimethylacetamide: Solutol: PEG400:
water (5:5:75:15% v/v). 2.1. Materials/Chemicals Mitoxantrone hydrochloride, coproporphyrin-I dihydrochloride (CP-I), progesterone, verapamil,
ritonavir and testosterone were procured from Sigma-Aldrich (Sigma-Aldrich Chemie GmbH, Munich,
Germany). d4-CP-I (15N4 deuterated) sodium bisulfate salt procured from Toronto Research Chemicals
(Toronto, ON, Canada). MultiScreen Solvinert filter plates (0.45 µm, low binding hydrophilic 3 of 15 Pharmaceutics 2018, 10, 125 polytetrafluoroethylene) were purchased from Millipore (Tullagreen, Ireland). High-performance
liquid chromatography–grade methanol was purchased from Merck (Mumbai, India). Formic acid
was purchased from Fluka (Fluka Chemie, GmbH, Munich, Germany) and Milli-Q water from Milli-Q
system (Millipore SAS, Molsheim, France). Polyethylene-10 and -50 tubing was purchased from
Smiths Medical (ASD incorporation, Dublin, OH, USA), and 22-gauge needles and syringes were
purchased from Becton Dickinson India Pvt Ltd. (Bangalore, India). Rat Mrp2-expressing inside-out
membrane vesicles (protein concentration 4 mg/mL) derived from Sf9 insect cells were in-house
prepared. Reaction incubation plates (96-well, ultra-low attachment, polystyrene, flat bottom, clear),
Filter plate, 96 well (0.25 mm Glass Fiber/1.2 µm PES) and assay plates (96 well, black, flat bottom,
polystyrene) for fluorescence measurement purchased from Corning® Costar® (Kennebunk, ME, USA). Krebs-Henseleit buffer purchased from Bioreclamation IVT (Bangalore, India). Stock solutions were
prepared in dimethyl sulphoxide and stored at −70 ◦C. 2.3. Vesicular Transport Assay The vesicular transport assay in membrane vesicles overexpressing rat Mrp2 was conducted
using the methods reported previously [10]. Briefly, rat Mrp2 membrane vesicles were diluted to an
appropriate concentration in buffer-A containing 50 mM MOPS-Tris (pH 7.0), 70 mM KCl, 7.5 mM
MgCl2. Membrane vesicles (20 µL, 50 µg protein) were co-incubated with 0.5 µL of test substrates (CP-I)
at 37 ◦C for 3 min. Then, the reaction was initiated by adding pre-warmed buffer-A (29.5 µL) premixed
with 4 mM MgATP or 4 mM MgAMP and 2 mM glutathione. Following incubation for designated
times at 37 ◦C on a rotary shaker (Innova 40, New Brunswick Scientific Co., Inc., Enfield, CT, USA) at
100 rpm, the reaction was stopped by adding 150 µL of cold wash with buffer-B containing 40 mM
MOPS-Tris (pH 7.0), 70 mM KCl. The reaction mixture was then transferred into a pre-wet, 96-well filter
plate which was placed onto a filtration device (FiltrEX™96-Well Filter Plates, Corning Technologies
India Pvt Ltd., Pune, India), and filtered rapidly via a connected vacuum pump (MultiScreen®HTS
Vacuum, Manifold, MA, USA). All wells were washed 5 times, each time with 200 µL of ice-cold wash
buffer to remove excess CP-I. After the final wash, the filter plate was dried at room temperature for
1 h. Membrane vesicles were digested using an extraction solvent (100 µL of 0.5% SDS dissolved in
milliQ water, and the plate was kept on a microplate shaker (VWR, Radnor, PA, USA) for 15 min
at 230 rpm. Then, the filter plate was centrifuged (Eppendorf, Hauppauge, NY, USA) for 2 min at
2000 rpm along with a receiver plate attached to collect the filtrate. The filtrate was further used
to quantify the CP-I levels using a fluorimeter. Fluorescence measurements were conducted with a
microplate reader (SpectraMax® M2e, molecular device, San Jose, CA, USA), using 401 and 595 nm as
excitation and emission wavelengths, respectively. ATP-dependent net transport was calculated by 4 of 15 Pharmaceutics 2018, 10, 125 subtracting the AMP values from those of ATP values. All experiments related to CP-I were conducted
in reduced light to minimize florescent bleaching. Mitoxantrone, testosterone, progesterone, and verapamil were selected to assess their modulatory
effects on rat Mrp2-mediated CP-I transport in membrane vesicles. The final assay concentration of
CP-I was 5 µM. 2.3. Vesicular Transport Assay The concentrations tested for each modulator were 1, 10, 50, 100, 250, 500, and 1000 µM,
except verapamil (25, 50, and 100 µM). 2.4. In Vivo Studies with Bile Duct Cannulated Rats Bile duct cannulation on Sprague-Dawley (SD) rats was conducted [18] in a cross-over study
design. The freely moving bile duct cannulated rats were kept in metabolic cages. Following 48 h
acclimatization, rats were dosed with saline (dosed in all the groups as a control at 1 mL/kg dose
volume) and bile, then plasma and urine were collected at specified time points. Ten minutes after the
last bile, plasma, and urine sample collection, the same rats were dosed with mitoxantrone, verapamil,
and progesterone via the jugular vein as an intravenous infusion at 1 mL/kg dose volume by using a
single syringe model ‘11’ Pico plus pump. The doses used were 6 and 15 mg/kg for mitoxantrone,
10 mg/kg for verapamil, and 1 mg/kg for progesterone. The blood samples (200 µL) were collected
at 0.17, 0.25, 0.5, 0.75, 1, 1.25, 1.5, 2, 2.5, and 3 h and bile samples were collected in pre-weighed
amber color tubes over 15 min intervals up to 1.5 h and over 30 min intervals up to 3 h after dosing
mitoxantrone. The blood samples (200 µL) were collected at 0.17, 0.25, 0.5, 0.75, 1, 1.5, and 2 h and
bile samples were collected in pre-weighed amber color tubes over 10 to 15 min intervals up to 1 h,
and over 30 min intervals up to 2 h after dosing verapamil and progesterone. In addition, 0–3 h
urine samples and terminal liver samples were collected from 3 rats using serial sampling. Blood was
collected through the jugular vein in tubes containing 2% w/v potassium ethylenediaminetetraacetic
acid solution, and bile was collected in pre-weighed amber tubes, rats were euthanized using carbon
dioxide inhalation, liver samples were harvested and homogenized using 4 volumes of water. The bile,
plasma, and liver homogenate samples were stored at −80 ◦C until further analysis. 2.6. LC-MS/MS Method LC-MS/MS method was developed with adequate sensitivity for the quantification of CP-I,
CP-III, mitoxantrone, verapamil, and progesterone using a UPLC system (Waters Corporation, Milford,
MA, USA) coupled with a Triple Quad 5500 System (AB Sciex, Framingham, MA, USA), operated in
positive electrospray ionization. A combined internal standard solution consisting of d4-CP-I (15N4
deuterated) sodium bisulfate salt and ritonavir was used during the analysis. d4-CP-I was used as
internal standard in the analysis of CP-I and CP-III, whereas ritonavir was used as internal standard
(IS) for the analysis of progesterone, mitoxantrone, and verapamil. The analytes and internal standards
were separated on an Ace excel 2 C18-150 × 2.1 mm column (Advanced Chromatography Technologies
Ltd., Aberdeen, Scotland) using a binary gradient elution with 10 mM ammonium formate in water
with 0.1% formic acid (solvent-A); and acetonitrile with 0.1% formic acid (solvent-B). The gradient
started with 40% solvent B and maintained for 0.5 min; in 2.5 min, solvent B was increased from 40
to 55% and then to 95% in 2.8 min and remained constant at 95% solvent B for 1.10 min. Then in
3.80 min solvent B was decreased from 95 to 40%, and it remained constant for 0.2 min, accounting
to a total gradient time of 4 min. The flow rate was set at 0.5 mL/min. The mass spectrometric
conditions adopted in the analysis were as follows: Capillary voltage, 5500 V; drying gas temperature,
450 ◦C; and nebulizer gas pressure, 50 psi (both nebulizer and drying gas were high-purity nitrogen). The MRMs monitored for the compounds were as follows: CP-I (655.5 →596.4), CP-III (655.5 →
596.4), mitoxantrone (455.1 →358.3), verapamil (455.2 →165.1), progesterone (315.3 →297.5), d4-CP-I
(659.3 →600.3), and ritonavir (721.2 →296.2). Respective analyte concentrations in study samples
were obtained from the calibration curves, plotted as analyte to internal standard peak area ratios
against respective analyte concentrations. Analyst version 1.6.2 was used for system control and
data processing. A total of 15 calibration standards were prepared in 1% bovine serum albumin (BSA) by serial
dilution. All the bile samples and urine samples were diluted in 1% BSA (~10 fold) prior to analysis. Then 100 µL of the sample was quenched with 800 µL of acidified acetonitrile (1% formic acid)
containing IS. 2.6. LC-MS/MS Method The samples were vortexed on a spinix mixer (The Scientific House, Chennai, India),
and centrifuged in a refrigerated centrifuge (Minispin plus, Eppendorf AG-22331, Hamburg, Germany)
at 14,000× g, 4 ◦C for 5 min. A supernatant of approximately 150 µL was transferred into a 96-well
plate and subjected to LC-MS/MS analysis. 2.5. Liver Free Fraction Determination for Mitoxantrone, Verapamil and Progesterone The free fraction of the test compounds (Mitoxantrone, Verapamil, and Progesterone) in liver
was determined using a rapid equilibrium dialysis (RED) device. Ritonavir spiked in human plasma
at 2 µM concentration was used as a positive control for this purpose. The fu (free fraction) was
calculated using the formula given by Riccardi et al. [19]. Briefly, blank liver homogenates were
prepared at two different set of dilutions (50-times and 100-times) in 100 mM phosphate buffer using
homogenizer (POLYTRON®, PT4000, Kinematica AG, Luzern, Switzerland). The test compounds were
then individually spiked into these liver homogenates to achieve a target concentration of 10 µM. RED
device (Thermo Fisher Scientific, Hudson, NH, USA) was set up as per the manufacturer’s instructions
(Instructions, RED Device inserts, 89809, Thermo Scientific, Marietta, OH, USA). An aliquot of 200 µL
spiked samples were added into the donor side in triplicate, and 350 µL of 100 mM potassium
phosphate buffer into the respective receiver side and allowed to equilibrate for 6 h in a HEPA class
100, CO2 incubator (Steri-cycle, Model 370, Thermo Scientific, Marietta, OH, USA) maintained at
37 ◦C with 5% CO2. At the end of the incubation, 25 µL incubate from the donor side was aspirated
and mixed with 25 µL of 100 mM phosphate buffer; similarly, 25 µL from receiver side was mixed
with 25 µL of respective control liver homogenates in a collection plate. Then 150 µL of acetonitrile
containing internal standard (Propranolol at 150 nM) was added to the plate and mixed with a
multi-channel pipette (Thermo Scientific, FINNPIPETTE F, MH-14040, and Finland). The contents were
then transferred to Solvinert filter plate (Merck Millipore Ltd., Tullagreen, Ireland) fitted with 1 mL
capacity 96-well collection plate (Waters Corporation, Milford, MA, USA). The plate was centrifuged
at 3220× g for 5 min and the filtrate was injected on LC-MS/MS. Analyte concentrations in study
samples were then obtained from the calibration standards prepared similarly, and by plotting the
analyte to internal standard peak area ratios against respective analyte concentrations. Analyst version 5 of 15 Pharmaceutics 2018, 10, 125 1.6.2 was used for system control and data processing. The reported % fu was calculated as average of
fu obtained from both 50-times and 100-times dilutions. 1.6.2 was used for system control and data processing. The reported % fu was calculated as average of
fu obtained from both 50-times and 100-times dilutions. 2.7. Pharmacokinetic Analysis CP-I and CP-III area under the plasma concentration-time profiles (AUC) were calculated by
non-compartmental analysis and mixed log linear method using Kinetica software (Version 5.5.1;
Thermo Electron Corporation, Waltham, MA, USA). Cumulative amounts of CP-I and CP-III were
calculated by using Microsoft excel. The biliary (CLb) and renal (CLr) clearances of CP-I and CP-III
were estimated by the following equations: CLb =
Xb
AUC
CLr =
Xr
AUC where, Xb and Xr are cumulative amounts of CP-I and CP-III excreted in bile and urine, respectively. 2.8. Statistical Analysis 3.1. Mrp2-Mediated CP-I Transport in Membrane Vesicles
3. Results In time linearity studies, Mrp2-mediated CP-I transport was linear with time up to 30 min, and a
15 min time point was used for all incubations unless specified. The transport kinetics of CP-I were
then characterized by assessing concentration-dependent transport of CP-I in membrane vesicles
overexpressing rat Mrp2 protein. ATP over AMP ratio of CP-I uptake is 23, with negligible uptake
in the presence of AMP. As depicted in Figure 1, the concentration-dependent CP-I uptake appeared
to follow a hyperbolic relationship. The kinetic curve could be adequately modelled by the standard
Michaelis-Menten equation. The apparent Km and Vmax values (mean ± SD) for CP-I were 15 ± 6 µM
and 161 ± 20 pmol/min/mg protein, respectively. 3.1. Mrp2-Mediated CP-I Transport in Membrane Vesicles
In time linearity studies, Mrp2-mediated CP-I transport was linear with time up to 30 min, and
a 15 min time point was used for all incubations unless specified. The transport kinetics of CP-I were
then characterized by assessing concentration-dependent transport of CP-I in membrane vesicles
overexpressing rat Mrp2 protein. ATP over AMP ratio of CP-I uptake is 23, with negligible uptake in
the presence of AMP. As depicted in Figure 1, the concentration-dependent CP-I uptake appeared to
follow a hyperbolic relationship. The kinetic curve could be adequately modelled by the standard
Michaelis-Menten equation. The apparent Km and Vmax values (mean ± SD) for CP-I were 15 ± 6 µM
and 161 ± 20 pmol/min/mg protein, respectively. Figure 1. Concentration-dependent uptake transport of coproporphyrin-I (CP-I) in rat multidrug
resistance-associated protein 2 (Mrp2) membrane vesicles. Rat Mrp2 membrane vesicles were
incubated with CP-I at 37 °C for 15 min. ATP-dependent CP-I uptake is measured by subtracting the
uptake in the presence of AMP from that of ATP. For more experimental details refer to Section 2.3. All data values are presented as mean and SD of a single experiment performed in triplicate wells. Fi u e 2
ho
the
o
e t atio
de e de t effe t of
a iou
odulato
(
ito a t o e
Figure 1. Concentration-dependent uptake transport of coproporphyrin-I (CP-I) in rat multidrug
resistance-associated protein 2 (Mrp2) membrane vesicles. Rat Mrp2 membrane vesicles were incubated
with CP-I at 37 ◦C for 15 min. ATP-dependent CP-I uptake is measured by subtracting the uptake in
the presence of AMP from that of ATP. For more experimental details refer to Section 2.3. 3.1. Mrp2-Mediated CP-I Transport in Membrane Vesicles
3. Results All data
values are presented as mean and SD of a single experiment performed in triplicate wells. Figure 1. Concentration-dependent uptake transport of coproporphyrin-I (CP-I) in rat multidrug
resistance-associated protein 2 (Mrp2) membrane vesicles. Rat Mrp2 membrane vesicles were
incubated with CP-I at 37 °C for 15 min. ATP-dependent CP-I uptake is measured by subtracting the
uptake in the presence of AMP from that of ATP. For more experimental details refer to Section 2.3. All data values are presented as mean and SD of a single experiment performed in triplicate wells. Figure 1. Concentration-dependent uptake transport of coproporphyrin-I (CP-I) in rat multidrug
resistance-associated protein 2 (Mrp2) membrane vesicles. Rat Mrp2 membrane vesicles were incubated
with CP-I at 37 ◦C for 15 min. ATP-dependent CP-I uptake is measured by subtracting the uptake in
the presence of AMP from that of ATP. For more experimental details refer to Section 2.3. All data
values are presented as mean and SD of a single experiment performed in triplicate wells. progesterone, testosterone, and verapamil) on the uptake of CP-I in rat Mrp2-overexpressing
membrane vesicles. These modulators were selected based on the previous results found with human
MRP2 vesicles [10]. As expected, all four modulators showed increased uptake of CP-I (stimulation)
up to a specific concentrations and then showed inhibition of uptake at higher concentrations in rat
Mrp2 vesicles, leading to a bell-shaped curve. This trend of stimulation and inhibition is common for
all the four modulators, although at different concentration ranges, which agree with the results
observed in human MRP2 vesicles (Gilibili et al., 2017). The interactions between CP-I uptake in rat
Mrp2 vesicles and the above stimulators were further conducted in the presence of 10 µM bilirubin. As shown in Figure 3, the presence of bilirubin suppressed the stimulation of CP-I transport in rat
Mrp2 vesicles by 200 µM mitoxantrone, 100 µM progesterone, and 100 µM verapamil. The
suppression reached a maximum (about 50%) at 100 µM mitoxantrone. Figure 2 shows the concentration-dependent effect of various modulators (mitoxantrone,
progesterone, testosterone, and verapamil) on the uptake of CP-I in rat Mrp2-overexpressing membrane
vesicles. These modulators were selected based on the previous results found with human MRP2
vesicles [10]. As expected, all four modulators showed increased uptake of CP-I (stimulation) up to
a specific concentrations and then showed inhibition of uptake at higher concentrations in rat Mrp2
vesicles, leading to a bell-shaped curve. 2.8. Statistical Analysis Statistical analysis was performed using the GraphPad Prism program version 5.02 (GraphPad
software, San Diego, CA, USA). Mean and standard deviations are calculated in Microsoft Excel 6 of 15 Pharmaceutics 2018, 10, 125 2013. Student t test was conducted to compare the cumulative amount of CP-I and CP-III obtained
at each time point when administered saline and different modulators (mitoxantrone, verapamil,
and progesterone); p < 0.05 was regarded as significant. No statistical test was conducted in in vitro
experiments, as they represent triplicate data from only one experiment. 3.1. Mrp2-Mediated CP-I Transport in Membrane Vesicles
3. Results In the inset, same data set is represented in curve to show the bell shape of the concentration-dependent
stimulation and inhibition (also referred as modulation in the text). Figure 2. Effect of various modulators (mitoxantrone, progesterone, testosterone, and verapamil) on
the uptake of CP-I in rat Mrp2 membrane vesicles. Rat Mrp2-mediated CP-I transport was measured
in inside-out membrane vesicles. Mrp2 vesicle protein (50 µg/well) were preincubated with
modulators at above reported concentrations at 37 °C and reaction was started by adding CP-I (5 µM)
and incubated for 15 min. NP; not performed. For more on experimental details refer to Section 2.3. Dotted line represents basal level (100%) of CP-I uptake in control wells in the presence of ATP with
no modulators added. All data values presented as mean and SD of single experiment performed in
triplicate wells. In the inset, same data set is represented in curve to show the bell shape of the
concentration-dependent stimulation and inhibition (also referred as modulation in the text). Figure 3. Effect of bilirubin on the transport of CP-I using rat Mrp2 vesicles in the presence and
absence of modulators. Rat Mrp2 vesicles (50 µg/well) were preincubated with and without bilirubin
(10 µM) and modulators for 3 min at 37 °C. % Net decrease in ATP-dependent CP-I uptake in presence
of bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values
are: 54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12%
(progesterone 100 µM), and 21, and 21% (verapamil 100 µM). Figure 3. Effect of bilirubin on the transport of CP-I using rat Mrp2 vesicles in the presence and
absence of modulators. Rat Mrp2 vesicles (50 µg/well) were preincubated with and without bilirubin
(10 µM) and modulators for 3 min at 37 °C. % Net decrease in ATP-dependent CP-I uptake in presence
of bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values
are: 54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12%
(progesterone 100 µM), and 21, and 21% (verapamil 100 µM). Figure 3. 3.1. Mrp2-Mediated CP-I Transport in Membrane Vesicles
3. Results This trend of stimulation and inhibition is common for all the
four modulators, although at different concentration ranges, which agree with the results observed in
human MRP2 vesicles (Gilibili et al., 2017). The interactions between CP-I uptake in rat Mrp2 vesicles
and the above stimulators were further conducted in the presence of 10 µM bilirubin. As shown in
Figure 3, the presence of bilirubin suppressed the stimulation of CP-I transport in rat Mrp2 vesicles
by 200 µM mitoxantrone, 100 µM progesterone, and 100 µM verapamil. The suppression reached a
maximum (about 50%) at 100 µM mitoxantrone. 7 of 15
7 of 15 Pharmaceutics 2018, 10, 125
Ph
ti
2018 10
FOR P maceutics 2018, 10, x FOR PEER REVIEW
7 of 1
Figure 2. Effect of various modulators (mitoxantrone, progesterone, testosterone, and verapamil) on
the uptake of CP-I in rat Mrp2 membrane vesicles. Rat Mrp2-mediated CP-I transport was measured
in inside-out membrane vesicles. Mrp2 vesicle protein (50 µg/well) were preincubated with
modulators at above reported concentrations at 37 °C and reaction was started by adding CP-I (5 µM)
and incubated for 15 min. NP; not performed. For more on experimental details refer to Section 2.3. Dotted line represents basal level (100%) of CP-I uptake in control wells in the presence of ATP with
no modulators added. All data values presented as mean and SD of single experiment performed in
triplicate wells. In the inset, same data set is represented in curve to show the bell shape of the
concentration-dependent stimulation and inhibition (also referred as modulation in the text). Figure 2. Effect of various modulators (mitoxantrone, progesterone, testosterone, and verapamil) on
the uptake of CP-I in rat Mrp2 membrane vesicles. Rat Mrp2-mediated CP-I transport was measured in
inside-out membrane vesicles. Mrp2 vesicle protein (50 µg/well) were preincubated with modulators at
above reported concentrations at 37 ◦C and reaction was started by adding CP-I (5 µM) and incubated
for 15 min. NP; not performed. For more on experimental details refer to Section 2.3. Dotted line
represents basal level (100%) of CP-I uptake in control wells in the presence of ATP with no modulators
added. All data values presented as mean and SD of single experiment performed in triplicate wells. In the inset, same data set is represented in curve to show the bell shape of the concentration-dependent
stimulation and inhibition (also referred as modulation in the text). 3.1. Mrp2-Mediated CP-I Transport in Membrane Vesicles
3. Results Pharmaceutics 2018, 10, x FOR PEER REVIEW
7 of 15
Figure 2. Effect of various modulators (mitoxantrone, progesterone, testosterone, and verapamil) on
the uptake of CP-I in rat Mrp2 membrane vesicles. Rat Mrp2-mediated CP-I transport was measured
in inside-out membrane vesicles. Mrp2 vesicle protein (50 µg/well) were preincubated with
modulators at above reported concentrations at 37 °C and reaction was started by adding CP-I (5 µM)
and incubated for 15 min. NP; not performed. For more on experimental details refer to Section 2.3. Dotted line represents basal level (100%) of CP-I uptake in control wells in the presence of ATP with
no modulators added. All data values presented as mean and SD of single experiment performed in
triplicate wells. In the inset, same data set is represented in curve to show the bell shape of the
concentration-dependent stimulation and inhibition (also referred as modulation in the text). Pharmaceutics 2018, 10, x FOR PEER REVIEW Figure 2. Effect of various modulators (mitoxantrone, progesterone, testosterone, and verapamil) on
the uptake of CP-I in rat Mrp2 membrane vesicles. Rat Mrp2-mediated CP-I transport was measured
in inside-out membrane vesicles. Mrp2 vesicle protein (50 µg/well) were preincubated with
modulators at above reported concentrations at 37 °C and reaction was started by adding CP-I (5 µM)
and incubated for 15 min. NP; not performed. For more on experimental details refer to Section 2.3. Dotted line represents basal level (100%) of CP-I uptake in control wells in the presence of ATP with
no modulators added. All data values presented as mean and SD of single experiment performed in
triplicate wells. In the inset, same data set is represented in curve to show the bell shape of the
concentration-dependent stimulation and inhibition (also referred as modulation in the text). Figure 2. Effect of various modulators (mitoxantrone, progesterone, testosterone, and verapamil) on
the uptake of CP-I in rat Mrp2 membrane vesicles. Rat Mrp2-mediated CP-I transport was measured in
inside-out membrane vesicles. Mrp2 vesicle protein (50 µg/well) were preincubated with modulators at
above reported concentrations at 37 ◦C and reaction was started by adding CP-I (5 µM) and incubated
for 15 min. NP; not performed. For more on experimental details refer to Section 2.3. Dotted line
represents basal level (100%) of CP-I uptake in control wells in the presence of ATP with no modulators
added. All data values presented as mean and SD of single experiment performed in triplicate wells. 3.1. Mrp2-Mediated CP-I Transport in Membrane Vesicles
3. Results % Net decrease in ATP-dependent CP-I uptake in presence
of bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values
are: 54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12%
(progesterone 100 µM), and 21, and 21% (verapamil 100 µM). (10 µM) and modulators for 3 min at 37 °C. % Net decrease in ATP-dependent CP-I uptake in presence
of bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values
are: 54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12%
(progesterone 100 µM), and 21, and 21% (verapamil 100 µM). and modulators for 3 min at 37 ◦C. % Net decrease in ATP-dependent CP-I uptake in presence of
bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values are:
54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12% (progesterone
100 µM), and 21, and 21% (verapamil 100 µM). 3.1. Mrp2-Mediated CP-I Transport in Membrane Vesicles
3. Results Effect of bilirubin on the transport of CP-I using rat Mrp2 vesicles in the presence and absence
of modulators. Rat Mrp2 vesicles (50 µg/well) were preincubated with and without bilirubin (10 µM)
and modulators for 3 min at 37 ◦C. % Net decrease in ATP-dependent CP-I uptake in presence of
bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values are:
54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12% (progesterone
100 µM), and 21, and 21% (verapamil 100 µM). Figure 3. Effect of bilirubin on the transport of CP-I using rat Mrp2 vesicles in the presence and
absence of modulators. Rat Mrp2 vesicles (50 µg/well) were preincubated with and without bilirubin
(10 µM) and modulators for 3 min at 37 °C. % Net decrease in ATP-dependent CP-I uptake in presence
of bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values
are: 54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12%
(progesterone 100 µM), and 21, and 21% (verapamil 100 µM). Figure 3. Effect of bilirubin on the transport of CP-I using rat Mrp2 vesicles in the presence and
absence of modulators. Rat Mrp2 vesicles (50 µg/well) were preincubated with and without bilirubin
(10 µM) and modulators for 3 min at 37 °C. % Net decrease in ATP-dependent CP-I uptake in presence
of bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values
are: 54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12%
(progesterone 100 µM), and 21, and 21% (verapamil 100 µM). Figure 3. Effect of bilirubin on the transport of CP-I using rat Mrp2 vesicles in the presence and absence
of modulators. Rat Mrp2 vesicles (50 µg/well) were preincubated with and without bilirubin (10 µM)
and modulators for 3 min at 37 ◦C. % Net decrease in ATP-dependent CP-I uptake in presence of
bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. 3.1. Mrp2-Mediated CP-I Transport in Membrane Vesicles
3. Results All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values are:
54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12% (progesterone
100 µM), and 21, and 21% (verapamil 100 µM). Figure 3. Effect of bilirubin on the transport of CP-I using rat Mrp2 vesicles in the presence and
absence of modulators. Rat Mrp2 vesicles (50 µg/well) were preincubated with and without bilirubin
(10 µM) and modulators for 3 min at 37 °C. % Net decrease in ATP-dependent CP-I uptake in presence
of bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values
are: 54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12%
(progesterone 100 µM), and 21, and 21% (verapamil 100 µM). Figure 3. Effect of bilirubin on the transport of CP-I using rat Mrp2 vesicles in the presence and
absence of modulators. Rat Mrp2 vesicles (50 µg/well) were preincubated with and without bilirubin
(10 µM) and modulators for 3 min at 37 °C. % Net decrease in ATP-dependent CP-I uptake in presence
of bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values
are: 54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12%
(progesterone 100 µM), and 21, and 21% (verapamil 100 µM). Figure 3. Effect of bilirubin on the transport of CP-I using rat Mrp2 vesicles in the presence and absence
of modulators. Rat Mrp2 vesicles (50 µg/well) were preincubated with and without bilirubin (10 µM)
and modulators for 3 min at 37 ◦C. % Net decrease in ATP-dependent CP-I uptake in presence of
bilirubin was calculated by taking CP-I uptake values in presence of modulators as control. All data
values presented as mean of single experiment performed in duplicate wells. The duplicate values are:
54%, and 40% (mitoxantrone 100 µM), 34% and 42% (mitoxantrone 200 µM), 17% and 12% (progesterone
100 µM), and 21, and 21% (verapamil 100 µM). p
µg
p
(10 µM) and modulators for 3 min at 37 °C. 3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
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3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats To understand whether the observed in vitro effect of modulators on transport of CP-I is
translated in in vivo systems, studies were conducted using bile duct cannulated rats. In this model,
the modulators were administered as an infusion through the jugular vein. Plasma and bile levels of
I
d
III
d
d ff
l
d
h
f
l
d
To understand whether the observed in vitro effect of modulators on transport of CP-I is
translated in in vivo systems, studies were conducted using bile duct cannulated rats. In this model,
the modulators were administered as an infusion through the jugular vein. Plasma and bile levels of
CP-I and CP-III were measured at different time intervals during 2 h (for verapamil and
To understand whether the observed in vitro effect of modulators on transport of CP-I is
translated in in vivo systems, studies were conducted using bile duct cannulated rats. In this model,
the modulators were administered as an infusion through the jugular vein. Plasma and bile levels of 8 of 15 Pharmaceutics 2018, 10, 125 CP-I and CP-III were measured at different time intervals during 2 h (for verapamil and progesterone)
and 3 h (for mitoxantrone) pre- and post-dose treatment with modulators. The basal levels of CP-I and
CP-III excreted in 2 h were found to be about 600 and 1200 pmoles in rat bile, respectively. The plasma
AUCs (0–2 h) were found to be about 1.2 and 9.5 nM.h for CP-I and CP-III, respectively. Figure 4 shows
the amount CP-I and -III excreted in bile, in the presence and absence of the modulators at different
time durations. As can be observed from Figure 4, there was a significant increase in biliary excretion
of CP-I and III between 0.25 and 0.5 h following dosing of mitoxantrone 6 mg/kg (Figure 4A1,D1). However, the same changes were not observed with 15 mg/kg mitoxantrone (Figure 4A2,D2). At the
higher dose of mitoxantrone (15 mg/kg), the biliary secretion of CP-I was decreased from 0.33 to
1.25 h. In contrast, with administration of progesterone at 1 mg/kg, a significant decrease in biliary
secretion of CP-III from 0.17 to 1.5 h was observed. A similar decrease of CP-I biliary clearance was
also observed from 0 to 0.75 h, following 10 mg/kg verapamil treatment. Pharmaceutics 2018, 10, x FOR PEER REVIEW
8 of 15
progesterone) and 3 h (for mitoxantrone) pre- and post-dose treatment with modulators. 3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
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3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats 9 of 15
9 of 15 Pharmaceutics 2018, 10, 125
Ph
ti
2018 10
FO harmaceutics 2018, 10, x FOR PEER REVIEW
9 of
(C)
(F)
Figure 4. Amount of CP-I and CP-III excreted in bile at different time intervals in the presence (□) and
absence (■) of modulators. Biliary excretion profile of endogenous CP-I and CP-III in male Sprague
Dawley (SD) rats following intravenous administration of various modulators. All animals received
saline (0.9% NaCl) first then modulator after collection of bile at designated time points. (A1,D1,A2,D2); represent biliary excretion profile of CP-I and CP-III in male SD rats treated with
mitoxantrone at 6 and 15 mg/kg, respectively. (B,E) represents biliary excretion profile of CP-I and
CP-III in male SD rats treated with progesterone at 1 mg/kg. (C,F) represents biliary excretion profile
of CP-I and CP-III in male SD rats treated with verapamil at 10 mg/kg. All the data values presented
in mean and SD of single experiment performed in three animals. 0
100
200
Vehicle
Verapamil 10 mg/kg
0
200
400
600
Vehicle
Verapamil 10 mg/kg
Time interval
Figure 4. Amount of CP-I and CP-III excreted in bile at different time intervals in the presence (□) and
absence (■) of modulators. Biliary excretion profile of endogenous CP-I and CP-III in male Sprague
Dawley (SD) rats following intravenous administration of various modulators. All animals received
saline (0.9% NaCl) first then modulator after collection of bile at designated time points. (A1,D1,A2,D2);
represent biliary excretion profile of CP-I and CP-III in male SD rats treated with mitoxantrone at 6
and 15 mg/kg, respectively. (B,E) represents biliary excretion profile of CP-I and CP-III in male SD rats
treated with progesterone at 1 mg/kg. (C,F) represents biliary excretion profile of CP-I and CP-III in
male SD rats treated with verapamil at 10 mg/kg. All the data values presented in mean and SD of
single experiment performed in three animals. (C)
(F)
0
100
200
Vehicle
Verapamil 10 mg/kg
0
200
400
600
Vehicle
Verapamil 10 mg/kg (C) (F) Time interval Figure 4. Amount of CP-I and CP-III excreted in bile at different time intervals in the presence (□) and
absence (■) of modulators. Biliary excretion profile of endogenous CP-I and CP-III in male Sprague
Dawley (SD) rats following intravenous administration of various modulators. All animals received
saline (0.9% NaCl) first then modulator after collection of bile at designated time points. 3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
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3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats All animals received
saline (0.9% NaCl) first then modulator after collection of bile at designated time points. (A1,D1,A2,D2);
represent biliary excretion profile of CP-I and CP-III in male SD rats treated with mitoxantrone at 6
and 15 mg/kg, respectively. (B,E) represents biliary excretion profile of CP-I and CP-III in male SD rats
treated with progesterone at 1 mg/kg. (C,F) represents biliary excretion profile of CP-I and CP-III in
male SD rats treated with verapamil at 10 mg/kg. All the data values presented in mean and SD of
single experiment performed in three animals. The biliary (Table 1) and renal clearances (Supplementary Table S2) over the 2 or 3 h time
periods, with and without the modulators treatment, were calculated as described in materials and
methods. The average biliary clearance of CP-I is four-fold higher than CP-III in the control
experiments, while urinary clearance of CP-III is three-fold higher than CP-I. No significant increase
in biliary or urinary clearance of CP-I or CP-III is observed at pre- and post-dosing with modulators
(p > 0.05). Supplementary Table S1 lists the cumulative amount of CP-I and CP-III excreted in bile, in
the 2 or 3 h time interval. The cumulative amount of CP-I excreted in bile and the plasma AUC of CP-
I were found to be similar in the presence and absence of all the three modulators. A similar trend
was also observed in CP-III levels. The biliary (Table 1) and renal clearances (Supplementary Table S2) over the 2 or 3 h time periods,
with and without the modulators treatment, were calculated as described in materials and methods. The average biliary clearance of CP-I is four-fold higher than CP-III in the control experiments,
while urinary clearance of CP-III is three-fold higher than CP-I. No significant increase in biliary or
urinary clearance of CP-I or CP-III is observed at pre- and post-dosing with modulators (p > 0.05). Supplementary Table S1 lists the cumulative amount of CP-I and CP-III excreted in bile, in the 2 or
3 h time interval. The cumulative amount of CP-I excreted in bile and the plasma AUC of CP-I were
found to be similar in the presence and absence of all the three modulators. A similar trend was also
observed in CP-III levels. Table 1. Biliary clearances coproporphyrin-I (CP-I) and CP-III in male Sprague Dawley (SD) rats
treated with vehicle or modulator. Table 1. 3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
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3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats The basal
levels of CP-I and CP-III excreted in 2 h were found to be about 600 and 1200 pmoles in rat bile,
respectively. The plasma AUCs (0–2 h) were found to be about 1.2 and 9.5 nM.h for CP-I and CP-III,
respectively. Figure 4 shows the amount CP-I and -III excreted in bile, in the presence and absence of
the modulators at different time durations. As can be observed from Figure 4, there was a significant
increase in biliary excretion of CP-I and III between 0.25 and 0.5 h following dosing of mitoxantrone
6 mg/kg (Figure 4A1,D1). However, the same changes were not observed with 15 mg/kg
mitoxantrone (Figure 4A2,D2). At the higher dose of mitoxantrone (15 mg/kg), the biliary secretion
of CP-I was decreased from 0.33 to 1.25 h. In contrast, with administration of progesterone at 1 mg/kg,
a significant decrease in biliary secretion of CP-III from 0.17 to 1.5 h was observed. A similar decrease
of CP-I biliary clearance was also observed from 0 to 0.75 h, following 10 mg/kg verapamil treatment. (A1)
(D1)
(A2)
(D2)
(B)
(E)
0
50
100
150
200
Vehicle
Mitoxantrone 6 mg/kg
Coproporphyrin-I
0
200
400
600
Vehicle
Mitoxantrone 6 mg/kg
Coproporphyrin-III
0
50
100
150
200
Vehicle
Mitoxantrone 15 mg/kg
0
200
400
600
Vehicle
Mitoxantrone 15 mg/kg
0
200
400
600
Vehicle
Progesterone 1 mg/kg
0
200
400
600
Vehicle
Progesterone 1 mg/kg
Figure 4. Cont. (A1)
(D1)
0
50
100
150
200
Vehicle
Mitoxantrone 6 mg/kg
Coproporphyrin-I
0
200
400
600
Vehicle
Mitoxantrone 6 mg/kg
Coproporphyrin-III Coproporphyrin-III (A1)
(D1)
(A2)
(D2)
(B)
(E)
0
50
100
150
0
200
400
Mitoxantrone 6 mg/kg
0
50
100
150
200
Vehicle
Mitoxantrone 15 mg/kg
0
200
400
600
Vehicle
Mitoxantrone 15 mg/kg
0
200
400
600
Vehicle
Progesterone 1 mg/kg
0
200
400
600
Vehicle
Progesterone 1 mg/kg
Figure 4. Cont. (D1) (A1)
(D1)
(A2)
(D2)
0
50
100
150
200
Vehicle
Mitoxantrone 15 mg/kg
0
200
400
600
Vehicle
Mitoxantrone 15 mg/kg
0
200
400
600
Vehicle
Progesterone 1 mg/kg
0
200
400
600
Vehicle
Progesterone 1 mg/kg (A2)
0
50
100
150
200
Vehicle
Mitoxantrone 15 mg/kg Mitoxantrone 15 mg/kg (A2)
(D2)
(B)
(E)
0
200
400
600
Vehicle
Progesterone 1 mg/kg
0
200
400
600
Vehicle
Progesterone 1 mg/kg
Figure 4. Cont. (B)
0
200
400
600
Vehicle
Progesterone 1 mg/kg (B) (E) Figure 4. Cont. The total and free liver concentrations of the stimulators followed by i.v infusion w
#: All data values are presented in Mean ± SD, collected from three animal. For experimental design refer to
Section 2.4. Saline (0.9% NaCl) was used as vehicle. 3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
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3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats (A1,D1,A2,D2); represent biliary excretion profile of CP-I and CP-III in male SD rats treated with
mitoxantrone at 6 and 15 mg/kg, respectively. (B,E) represents biliary excretion profile of CP-I and
CP-III in male SD rats treated with progesterone at 1 mg/kg. (C,F) represents biliary excretion profile
of CP-I and CP-III in male SD rats treated with verapamil at 10 mg/kg. All the data values presented
in mean and SD of single experiment performed in three animals. Figure 4. Amount of CP-I and CP-III excreted in bile at different time intervals in the presence (□) and
absence (■) of modulators. Biliary excretion profile of endogenous CP-I and CP-III in male Sprague
Dawley (SD) rats following intravenous administration of various modulators. All animals received
saline (0.9% NaCl) first then modulator after collection of bile at designated time points. (A1,D1,A2,D2);
represent biliary excretion profile of CP-I and CP-III in male SD rats treated with mitoxantrone at 6
and 15 mg/kg, respectively. (B,E) represents biliary excretion profile of CP-I and CP-III in male SD rats
treated with progesterone at 1 mg/kg. (C,F) represents biliary excretion profile of CP-I and CP-III in
male SD rats treated with verapamil at 10 mg/kg. All the data values presented in mean and SD of
single experiment performed in three animals. Figure 4. Amount of CP-I and CP-III excreted in bile at different time intervals in the presence (□) and
absence (■) of modulators. Biliary excretion profile of endogenous CP-I and CP-III in male Sprague
Dawley (SD) rats following intravenous administration of various modulators. All animals received
saline (0.9% NaCl) first then modulator after collection of bile at designated time points. (A1,D1,A2,D2); represent biliary excretion profile of CP-I and CP-III in male SD rats treated with
mitoxantrone at 6 and 15 mg/kg, respectively. (B,E) represents biliary excretion profile of CP-I and
CP-III in male SD rats treated with progesterone at 1 mg/kg. (C,F) represents biliary excretion profile
of CP-I and CP-III in male SD rats treated with verapamil at 10 mg/kg. All the data values presented
in mean and SD of single experiment performed in three animals. Figure 4. Amount of CP-I and CP-III excreted in bile at different time intervals in the presence (□) and
absence (■) of modulators. Biliary excretion profile of endogenous CP-I and CP-III in male Sprague
Dawley (SD) rats following intravenous administration of various modulators. 3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
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3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats Biliary clearances coproporphyrin-I (CP-I) and CP-III in male Sprague Dawley (SD) rats treated
with vehicle or modulator. Table 1. Biliary clearances coproporphyrin-I (CP-I) and CP-III in male Sprague Dawley (SD) rats
treated with vehicle or modulator. Table 1. Biliary clearances coproporphyrin-I (CP-I) and CP-III in male Sprague Dawley (SD) rats treated
with vehicle or modulator. treated with vehicle or modulator. Dose Group
Modulator Dose (mg/kg, i.v)
Biliary Clearance # (mL/min)
CP-I
CP-III
Vehicle
-
7.6 ± 1.5
2.3 ± 1.3
Mitoxantrone
6
5.9 ± 0.3
1.9 ± 1.7
Vehicle
-
11 ± 0.1
3.3 ± 0.03
Mitoxantrone
15
16 ± 9.5
3.4 ± 2.1
Vehicle
-
14 ± 6.0
2.3 ± 0.2
Progesterone
1
11 ± 4.6
2.3 ± 0.3
Vehicle
-
5.8 ± 2.1
1.6 ± 0.5
Verapamil
10
3.8 ± 0.8
1.2 ± 0.6
#: All data values are presented in Mean ± SD, collected from three animal. For experimental design
refer to Section 2.4. Saline (0.9% NaCl) was used as vehicle. The total and free liver concentrations of the stimulators followed by i.v infusion w
i
d Th
li
i
f
i
(
15
/k )
d
with vehicle or modulator. Dose Group
Modulator Dose (mg/kg, i.v)
Biliary Clearance # (mL/min)
CP-I
CP-III
Vehicle
-
7.6 ± 1.5
2.3 ± 1.3
Mitoxantrone
6
5.9 ± 0.3
1.9 ± 1.7
Vehicle
-
11 ± 0.1
3.3 ± 0.03
Mitoxantrone
15
16 ± 9.5
3.4 ± 2.1
Vehicle
-
14 ± 6.0
2.3 ± 0.2
Progesterone
1
11 ± 4.6
2.3 ± 0.3
Vehicle
-
5.8 ± 2.1
1.6 ± 0.5
Verapamil
10
3.8 ± 0.8
1.2 ± 0.6
#: All data values are presented in Mean ± SD, collected from three animal. For experimental design refer to
Section 2.4. Saline (0.9% NaCl) was used as vehicle. 10 of 15 Pharmaceutics 2018, 10, 125 The total and free liver concentrations of the stimulators followed by i.v infusion were determined. The liver concentrations of mitoxantrone (at 15 mg/kg), progesterone, and verapamil were 950, 197,
and 1040 µM, respectively, resulting in free liver concentration (Cmax, unbound, liver) of mitoxantrone,
progesterone, and verapamil 0.28, 1.86, and 25.8 µM, respectively (Table 2). Table 2. Liver unbound concentrations of modulators. 4. Discussion In vitro stimulation of drug metabolizing enzymes and transporters has long been recognized. However, in vivo or clinical impact of stimulation of drug metabolizing enzymes or transporters are
scarce [20,21]. Therefore, the translation of in vitro stimulation to in vivo has not been fully understood. For example, a two-fold stimulation of flurbiprofen metabolism in liver microsome in presence of
dapsone yields only 10% increase in flubiprofen clearance in humans, which appears not to be clinically
relevant [22,23]. In vitro stimulation of MRP2-mediated transport of different probe substrates, in
the presence of a chemically diverse set of compounds, have been widely reported [10,13,14,24]. Previously, we reported that 53% compound of a list of 97 compounds stimulated MRP2-mediated
E17βG transport [10]. We found that the stimulation is substrate dependent, as lesser percentage
(17%) of compounds stimulated CP-I transport [10]. So far, two previous reports investigated in vivo
stimulation of Mrp2- mediated probe substrate transport by measuring the probe compounds, E17βG
and GSH, respectively, in rat bile, following treatment with stimulators [16,17]. However, as previously
explained, MRP2/Mrp2-mediated E17βG transport is known to be stimulated by many compounds
with diverse chemical motifs. We have previously shown that the stimulators used in the study of
Heredi-Szabo et al., benzbromarone and indomethacin, are actually inhibitors of MRP2, when CP-I
is used as a probe substrate [10]. Therefore, the stimulation effect was re-investigated with CP-I
as endogenous biomarker. CP-I, being endogenous, provided us with the advantage that external
administration of a radioactive/labelled probe compound could be avoided. In agreement with the results found in human MRP2 vesicles, rat Mrp2 mediated CP-I transport
also displayed conventional Michaelis-Menten kinetics, with Km of 15 µM. The Km values of CP-I in rat
Mrp2 vesicles were comparable to that in human (15 vs. 7.7 µM for rat and human MRP2, respectively),
suggesting the interspecies differences in affinity of CP-I towards MRP2/Mrp2-meditated biliary
secretion is minimum. This is in contrast to E17βG, as significant differences in kinetics of E17βG are
reported between different species, such as Michaelis-Menten reported for rat, while sigmoidal kinetics
reported for human [14,16]. Four stimulators, mitoxantrone, verapamil, testosterone, and progesterone
were selected as tool compounds for the rat in vitro and in vivo investigations, based on their significant
stimulation of CP-I transport observed in human MRP2 vesicles and the structural features [10]. 3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats
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3.2. Plasma Level and Biliary Secretion of Endogenous CP-I and CP-III in Rats Dose Group
Modulator Dose
(mg/kg, i.v)
In Vivo Parameters #
In Vitro Parameter
Liver Unbound
Concentrations $ (µM)
Liver to
Plasma Ratio
Cmax (µM)
Liver Total
Concentrations (µM)
Fu,liver
Mitoxantrone
6
199
4.3
854
0.0003
0.26
Mitoxantrone
15
202
4.7
950
0.28
Progesterone
1
1.2
165
197
0.0094
1.86
Verapamil
10
63
16.6
1044
0.0247
25.8
#: Livers were collected at the terminal time point (2 or 3 h) of the respective study, and modulator concentrations
were determined in liver homogenate by LC-MS/MS method, refer to Section 2.5 for more details. Fu,liver: modulator
free fraction in liver was determined using rapid equilibrium dialysis method, using blank liver homogenate as
matrices. $: Liver unbound concentrations were determined by multiplying Fu,liver with total liver concentrations. Table 2. Liver unbound concentrations of modulators. #: Livers were collected at the terminal time point (2 or 3 h) of the respective study, and modulator concentrations
were determined in liver homogenate by LC-MS/MS method, refer to Section 2.5 for more details. Fu,liver: modulator
free fraction in liver was determined using rapid equilibrium dialysis method, using blank liver homogenate as
matrices. $: Liver unbound concentrations were determined by multiplying Fu,liver with total liver concentrations. 4. Discussion All four
compounds (structures in supplementary Figure S2) stimulated CP-I transport in membrane vesicles
overexpressing rat Mrp2, with mitoxantrone being the strongest stimulator. Mitoxantrone showed a
bell-shaped curve: stimulation of Mrp2 mediated CP-I transport at lower concentrations (up to 250 µM)
followed by inhibition at higher (>250 µM) concentrations of mitoxantrone (Figure 2). Therefore, two
doses of mitoxantrone (6 mg/kg and 15 mg/kg) were administered in bile duct cannulated rats,
to assess the impact on CP-I biliary clearance. Mitoxantrone, verapamil (6 mg/kg), and progesterone 11 of 15 Pharmaceutics 2018, 10, 125 (1 mg/kg) were investigated by a cross-over study design, so that the drug-pretreatment CP-I and
CP-III biliary clearance values can be used as controls to compare with post drug-treatment biliary
clearances. Collection of bile was initiated at early time points, as previous reports suggest that
the stimulation of Mrp2 mediated transported appeared to occur within the first hour of dosing of
indomethacin or benzylpenicillin [16,17]. Contrary to in vitro findings, no significant difference in either biliary clearances or cumulative
amount of CP-I or CP-III eliminated in bile were detected before and after treatment of mitoxantrone
(Table 1 and Figure 4, Supplementary Table S1). Similarly, neither biliary clearance nor cumulative
amount of CP-I excreted of in bile were increased, when dosed with progesterone or verapamil. Although there was a significant increase in CP-I and CP-III levels in bile between 15–30 min,
following the 6 mg/kg mitoxantrone dose (Figure 3), the same effect was not observed at the
higher dose, nor at following or earlier time intervals in the same dose, suggesting that could be
an experimental error. To know if the lack of in vivo translatability of in vitro stimulation is because
the compounds are not attaining sufficient concentrations in the liver, free liver concentrations of
mitoxantrone, progesterone, and verapamil were determined. In vitro, 1 µM progesterone and 25 µM
verapamil stimulated the Mrp2 mediated transport of CP-I to >1.5-fold and >1.3-fold, respectively
(Figure 2). The free liver exposures obtained following dosing progesterone and verapamil are 1.86 and
25.8 µM respectively (Table 2). Hence, we can confidently conclude that even after reaching relevant
concentrations in liver, progesterone and verapamil did not stimulate Mrp2-mediated CP-I transport
in rats. Mitoxantrone dosing was limited by its observed toxicity in rats. Therefore, we could not
reach free liver concentration beyond 0.28 µM, while in vitro stimulations started from 1 µM onwards. 4. Discussion In vitro, in presence of vesicles, the “free” concentration of the compound is expected to be lower than
1 µM, because of compounds binding to vesicles. Thus, ‘vesicle binding’ will further lower in vitro
concentration and we can comfortably assume that “free in vitro concentration” will be in similar
range as of “free in vivo concentration”. Furthermore, apart from direct measurement of CP-I in bile, there are two indirect evidences of
not observing any in vivo stimulation of Mrp2 function by mitoxantrone, progesterone, and verapamil. First, the bile flow is not enhanced following compound treatment. Glutathione excretion in bile
via Mrp2 mediates bile salt-independent bile flow [25,26]. We assessed the bile flow before and
after treatment with respective stimulators and did not observe any increase in bile flow following
treatment with the stimulators (Supplementary Table S3). The second indirect proof comes from
urinary coproporphyrin ratio (UCP-I/UCP-(I + III)), which is often used as a surrogate marker of MRP2
function and has been used to assess methotrexate PK variability [27]. The urinary coproporphyrin
ratio did not decrease following dosing the stimulators (Supplementary Table S4. Collectively, we
concluded that the in vitro stimulation of MRP2/Mrp2-mediated CP-I transport is not translatable
in vivo. Plasma and urinary coproporphyrins (CP-I and III) have been suggested as in vivo and clinical
biomarkers for organic anion transporting polypeptide (OATP)-mediated drug interactions [28–30]. The plasma and urinary levels of CPs are shown to be sensitive markers of Oatp-mediated DDI
in cynomolgus monkeys and mice [30]. CP-I uptake in isolated rat hepatocytes was shown to be
rifamycin sensitive (Supplementary Figure S1), suggesting a similar role of Oatp transporters in CP
dispositions among mice, rats, monkeys, and humans [30]. This opens the possibility of using rats as
an investigational model to understand CP-I as an in vivo marker for Oatp inhibition. In addition to hepatocyte canalicular membranes, Mrp2 is also expressed on the apical side of
renal proximal tubules. Thus, one can argue that functional activity of Mrp2 can be monitored via
urinary levels of CPs. However, other MRP/Mrp isoforms on the apical side of proximal tubule cells
(such as Mrp4), with overlapping substrate specificity, can interfere with Mrp2 function estimation
via renal secretion of CPs. Therefore, urinary elimination of CPs is not assessed to understand the
in vivo impact of stimulation. Author Contributions: Conceptualization: S.C., Y.L., R.R.G., T.T.M., H.S., V.K.; Methodology: R.R.G., V.K., B.V.M.,
S.C.; Resources: R.R.G., V.K., B.V.M, S.C.; Data Curation: S.C., R.R.G., T.T.M., V.K., B.V.M.; Writing-original draft
preparation: S.C., Y.L., R.R.G., V.K., B.V.M., T.T.M.; Writing-review and editing: S.C., Y.L., H.S.; Footnote: R.R.G.
and V.K. equally contributed to the work. 4. Discussion In the present investigation, we found the basal plasma levels of CP-III
are three-four times higher than CP-I levels, which is similar to what is reported in mice, and is in 12 of 15 Pharmaceutics 2018, 10, 125 contrast to monkeys and humans, where CP-I levels are higher in plasma ([30] and Supplementary
Table S1). In addition, the biliary clearance of CP-I is about four-fold higher than CP-III, while the
urinary clearance of CP-III is three-fold higher than CP-I. This suggests there can be preferential affinity
of CP-I towards biliary transporters while CP-III towards urinary transporters. Higher renal clearance
of CP-III, compared to CP-I, is observed for monkeys as well [30]. To further investigate the possible mechanism for the in vitro-in vivo disconnect of stimulation
of CP-I transport via Mrp2, the effect of endogenous compounds such as bile acids and bilirubin on
CP-I transport were evaluated. Bile acids did not decrease stimulation by the stimulators (data not
shown), while 10 µM bilirubin suppressed the stimulation of Mrp2-mediated CP-I transport to about
50% and 30% of what is observed with 100 and 200 µM mitoxantrone, respectively. To a lesser extent,
bilirubin also decreased the stimulation of CP-I transport by 100 µM progesterone and verapamil. Due to the unavailability of bilirubin glucuronides, we were not be able to further assess its effect on
the stimulation of Mrp2-mediated CP-I transport by these stimulators. This is the first time that the
effect of bilirubin on the in vitro stimulation of Mrp2-mediated transport is reported, to the best of our
knowledge. Thus, we hypothesize that endogenous compounds may act on the postulated modulator
or transport site of MRP2/Mrp2 and contribute to the in vitro-in vivo discrepancy. This can add to the
previous assumptions that the differences in membrane composition between the in vitro and in vivo
systems [31] may lead to perceived in vitro to in vivo disconnect in transporter function. The possibility
to add bilirubin in vitro to minimize the stimulation effects on MRP2-mediated transport could be
further explored to improve the in vitro tools in assessing MRP2 inhibition. Further investigation with
altering the in vitro assay can provide confirmatory data in this regard. Funding: This research received no external funding. References 1. Hillgren, K.; Keppler, D.; Zur, A.; Giacomini, K.; Stieger, B.; Cass, C.; Zhang, L. Emerging transporters of
clinical importance: An update from the International Transporter Consortium. Clin. Pharmacol. Ther. 2013,
94, 52–63. [CrossRef] [PubMed] 1. Hillgren, K.; Keppler, D.; Zur, A.; Giacomini, K.; Stieger, B.; Cass, C.; Zhang, L. Emerging transporters of
clinical importance: An update from the International Transporter Consortium. Clin. Pharmacol. Ther. 2013,
94, 52–63. [CrossRef] [PubMed] 2. Lai, Y.; Hsiao, P. Beyond the ITC White Paper: Emerging sciences in drug transporters and opportunities for
drug development. Curr. Pharm. Des. 2014, 20, 1577–1594. [CrossRef] [PubMed] 2. Lai, Y.; Hsiao, P. Beyond the ITC White Paper: Emerging sciences in drug transporters and opportunities for
drug development. Curr. Pharm. Des. 2014, 20, 1577–1594. [CrossRef] [PubMed] 3. Keppler, D.; Konig, J.; Buchler, M. The canalicular multidrug resistance protein, cMRP/MRP2, a novel
conjugate export pump expressed in the apical membrane of hepatocytes. Adv. Enzym. Regul. 1997, 37,
321–333. [CrossRef] 4. Keppler, D.; Leier, I.; Jedlitschky, G. Transport of glutathione conjugates and glucuronides by the multidrug
resistance proteins MRP1 and MRP2. Biol. Chem. 1997, 378, 787–791. [PubMed] 4. Keppler, D.; Leier, I.; Jedlitschky, G. Transport of glutathione conjugates and glucuronides by the multidrug
resistance proteins MRP1 and MRP2. Biol. Chem. 1997, 378, 787–791. [PubMed] 5. Borst, P.; Evers, R.; Kool, M.; Wijnholds, J. A family of drug transporters: The multidrug resistance-associated
proteins. J. Natl. Cancer Inst. 2000, 92, 1295–1302. [CrossRef] [PubMed] 5. Borst, P.; Evers, R.; Kool, M.; Wijnholds, J. A family of drug transporters: The multidrug resistance-associated
proteins. J. Natl. Cancer Inst. 2000, 92, 1295–1302. [CrossRef] [PubMed] 6. Yoshida, K.; Maeda, K.; Sugiyama, Y. Hepatic and intestinal drug transporters: Prediction of pharmacokinetic
effects caused by drug-drug interactions and genetic polymorphisms. Annu. Rev. Pharmacol. Toxicol. 2013,
53, 581–612. [CrossRef] [PubMed] 6. Yoshida, K.; Maeda, K.; Sugiyama, Y. Hepatic and intestinal drug transporters: Prediction of pharmacokinetic
effects caused by drug-drug interactions and genetic polymorphisms. Annu. Rev. Pharmacol. Toxicol. 2013,
53, 581–612. [CrossRef] [PubMed] 7. Rau, T.; Erney, B.; Göres, R.; Eschenhagen, T.; Beck, J.; Langer, T. High-dose methotrexate in pediatric acute
lymphoblastic leukemia: Impact of ABCC2 polymorphisms on plasma concentrations. Clin. Pharmacol. Ther. 2006, 80, 468–476. [CrossRef] [PubMed] 8. Toshimoto, K.; Tomoda, Y.; Chiba, K.; Sugiyama, Y. 5. Conclusions In this work, we first showed that CP-I follows a Michaelis-menten kinetics in rat Mrp2
vesicles. Few compounds (verapamil, mitoxantrone, progesterone, and testosterone) which stimulated
MRP2-mediated CP-I transport in human MRP2 vesicles also stimulated rat Mrp2-mediated CP-I
transport in vitro. In order to understand the in vivo significance of the ‘stimulation’, bile-duct
cannulated rats were dosed with mitoxantrone, verapamil, and progesterone, and CP-I and CP-III
levels were measured in bile and urine. Different doses of mitoxantrone, verapamil, or progesterone
do not impact Mrp2-mediated CP-I and CP-III excretion in rat bile. This was contradictory to the
in vitro data, where mitoxantrone, verapamil, and progesterone stimulated CP-I transport mediated
by Mrp2. Our findings support non-existence of any clinical event that can be attributed to stimulation
of MRP2-mediated transport. In addition, we also provide evidence in favor of the hypotheses
that the presence of an endogenous compound such as bilirubin may lead to the in vitro and
in vivo discrepancy. Supplementary Materials: The following are available online at http://www.mdpi.com/1999-4923/10/3/125/s1,
Figure S1: CP-I uptake in presence and absence of 1 mM rifamycin SV in suspended rat hepatocytes; Figure S2:
Structures of the modulators (mitoxantrone, progesterone, testosterone and verapamil) used in this study, along
with conventional probe substrate of MRP/Mrp2, estradiol b-glucuronide.; Table S1: Cumulative amount of
excretion and area under plasma concentration-time (AUC) profile of CP-I and CP-III following i.v injection
of vehicle or modulator.; Table S2: Renal clearance of CP-I and CP-III following i.v injection of vehicle or
modulator.; Table S3: Bile flow rate (ml/h) before and after treatment with modulators. The cumulative volume
is divided by the total time span of bile collection, to obtain bile flow rate; Table S4: Urinary coproporphyrin
(UCP-I/(UCP-I+UCP-III)) ratios with vehicle and compound dosing. Author Contributions: Conceptualization: S.C., Y.L., R.R.G., T.T.M., H.S., V.K.; Methodology: R.R.G., V.K., B.V.M.,
S.C.; Resources: R.R.G., V.K., B.V.M, S.C.; Data Curation: S.C., R.R.G., T.T.M., V.K., B.V.M.; Writing-original draft
preparation: S.C., Y.L., R.R.G., V.K., B.V.M., T.T.M.; Writing-review and editing: S.C., Y.L., H.S.; Footnote: R.R.G. and V.K. equally contributed to the work. Funding: This research received no external funding. Funding: This research received no external funding. 13 of 15 13 of 15 Pharmaceutics 2018, 10, 125 Acknowledgments: We would like to thank Punit Marathe, and Mike Sinz during various aspects of this work,
e.g., data analysis, experimental set up, reviewing manuscript. 5. Conclusions We would like to thank Prabhakar Rajanna for
helping bioanalysis, Anoop Kumar for providing freshly isolated rat hepatocytes, Ram Vishwanath for assisting
in in vivo experiments and Harbeer Kaur for helping in data analysis. Conflicts of Interest: Authors declare no conflict of interest. S.C., R.R.G., V.K., B.V.M., T.T.M. are working in
Biocon Bristol Myers-Squibb Research Center for last 3 years or more. H.S. is working in BMS, NJ for more than
5 years. Y.L. was working in BMS, NJ till 2017, currently he is working in Gilead, Foster City. Abbreviations Abbreviations
E17βG
estradiol-17β-glucuronide
MRP2
multidrug-resistance associated protein 2
OATP/Oatp
organic anion transporting polypeptide
CP-I
coproporphyrin-I
CP-III
coproporphyrin-III LC-MS/MS, liquid chromatography–tandem mass spectrometry
ATP
adenosine tri-phosphate
AMP
adenosine mono-phosphate
ABC
ATP binding cassette
GSH
glutathione
CA
Cholic acid
GCA
Glycocholic acid
TCA
taurocholic acid
DDI
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(CC BY) license (http://creativecommons.org/licenses/by/4.0/). 30. Shen, H.; Dai, J.; Liu, T.; Cheng, Y.; Chen, W.; Freeden, C.; Zhang, Y.; Humphreys, W.G.; Marathe, P.; Lai, Y. Coproporphyrins I and III as functional markers of OATP1B activity: In vitro and in vivo evaluation in
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article distributed under the terms and conditions of the Creative Commons Attribution
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Proteomic Analysis of the Excretory and Secretory Proteins of Haemonchus contortus (HcESP) Binding to Goat PBMCs In Vivo Revealed Stage-Specific Binding Profiles
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PloS one
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cc-by
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Javaid Ali Gadahi, Shuai Wang, Gao Bo, Muhammad Ehsan, RuoFeng Yan, XiaoKai Song,
LiXin Xu, XiangRui Li* College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, PR China a1111 * lixiangrui@njau.edu.cn * lixiangrui@njau.edu.cn Data Availability Statement: All relevant data are
within the paper and its Supporting Information files. Funding: The project was supported by the “National
Key Basic Research Program (973 program) of
China” (Grant No. 2015CB150300) and by the Priority
Academic Program Development of Jiangsu Higher
Education Institutions (PAPD). Abstract Haemonchus contortus is a parasitic gastrointestinal nematode, and its excretory and
secretory products (HcESPs) interact extensively with the host cells. In this study, we report
the interaction of proteins from HcESPs at different developmental stages to goat peripheral
blood mononuclear cells (PBMCs) in vivo using liquid chromatography-tandem mass spec-
trometry. A total of 407 HcESPs that interacted with goat PBMCs at different time points
were identified from a H. contortus protein database using SEQUEST searches. The L4
and L5 stages of H. contortus represented a higher proportion of the identified proteins com-
pared with the early and late adult stages. Both stage-specific interacting proteins and pro-
teins that were common to multiple stages were identified. Forty-seven interacting proteins
were shared among all stages. The gene ontology (GO) distributions of the identified goat
PBMC-interacting proteins were nearly identical among all developmental stages, with high
representation of binding and catalytic activity. Cellular, metabolic and single-organism pro-
cesses were also annotated as major biological processes, but interestingly, more proteins
were annotated as localization processes at the L5 stage than at the L4 and adult stages. Based on the clustering of homologous proteins, we improved the functional annotations of
un-annotated proteins identified at different developmental stages. Some unnamed H. con-
tortus ATP-binding cassette proteins, including ADP-ribosylation factor and P-glycoprotein-
9, were identified by STRING protein clustering analysis. OPEN ACCESS Citation: Gadahi JA, Wang S, Bo G, Ehsan M, Yan
R, Song X, et al. (2016) Proteomic Analysis of the
Excretory and Secretory Proteins of Haemonchus
contortus (HcESP) Binding to Goat PBMCs In Vivo
Revealed Stage-Specific Binding Profiles. PLoS ONE
11(7): e0159796. doi:10.1371/journal.pone.0159796 Editor: Shoba Ranganathan, Macquarie University,
AUSTRALIA Received: October 27, 2015
Accepted: July 9, 2016
Published: July 28, 2016 Received: October 27, 2015
Accepted: July 9, 2016
Published: July 28, 2016 Copyright: © 2016 Gadahi et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any
medium, provided the original author and source are
credited. Data Availability Statement: All relevant data are
within the paper and its Supporting Information files. RESEARCH ARTICLE Introduction Haemonchus contortus (H. contortus) is the most important abomasal nematode of small rumi-
nates. H. contortus infection causes high economic losses worldwide [1, 2]. This worm pene-
trates the abomasal mucosa to feed on the blood of the host, resulting in anemia and low total
plasma protein [3, 4]. H. contortus is one of the most extensively used parasitic nematodes in
drug discovery, vaccine development and anthelmintic resistance research [5–8]. The Competing Interests: The authors have declared
that no competing interests exist. PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 1 / 26 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo development of first (L1), second (L2) and third (L3) stage H. contortus larvae occurs in the fae-
ces. The infective larvae (L3) are ingested by the host with herbage. After exsheathment trig-
gered by pepsin and HCl in the rumen, L3 migrates to the abomasum and develops into the L4
stage, which feeds on blood, followed by final development into adults approximately 3 weeks
post ingestion [9]. Each developmental stage has different motility, sensory and hormonal reg-
ulation requirements, which may require rapid transcriptional changes [10]. Excretory and secretory products (ESPs) are produced and released by parasites during in
vitro cultivation [11] and in vivo [12]. ESPs contain various proteins and glycoproteins whose
functions include depression of host immunity and modulate the host immune system from
the early stages of infection for their survival [13–15]. H. contortus excretory and secretory products (HcESPs) contain many proteins [16] that
perform diverse functions such as tissue penetration and host protein degradation [14]. A 55
kDa secretory glycoprotein was identified as an immunogenic protein that causes immune
modulation by inhibiting host neutrophils [17]. The purified 66 kDa adult H. contortus excre-
tory/secretory (E/S) antigen inhibits monocyte function in vitro, as confirmed by decreased
production of hydrogen peroxide and nitric oxide in the culture medium [11]. One HcESP pro-
tein induces eosinophil and neutrophil chemotactic activity [18]. We have also demonstrated
that recombinant H. contortus galectin (rHco-gal-m) is recognized by the serum of goats natu-
rally infected with H. contortus and can bind and modulate the activity of goat T cells and
monocytes. rHco-gal-m inhibits the expression of MHC II molecules, decreases T cell activa-
tion and proliferation, induces the apoptosis of T cells and affects several signaling cascades
[19]. PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Introduction In vitro studies have reported that parasitic ESPs have a direct effect on cultured cells or
tissues, such as inhibiting acid secretion [20] and inducing the vacuolation and detachment of
HeLa cells [21, 22]. These findings indicate that ESPs have multiple functions in vivo. In a previous analysis of HcESP, approximately 193 immunogenic spots were detected by
2D gel analysis [16], and 52 proteins were identified by MS. We identified 129 male-specific,
132 female-specific and 23 shared immunogenic proteins from adult H. contortus by MALDI-
TOF [23]. The presence of antibodies against many E/S proteins in infected animals strongly
indicates the presence of ESPs in the circulation of infected animals [12, 23]. Other intestinal
nematodes of livestock that are very closely related to H. contortus, including Cooperia spp. [24], Ostertagia ostertagi [25], and Teladorsagia circumcincta [26], also secrete a GAL/VAL-
dominated suite of ESPs. The large number of ESP molecules also suggests functional
complexity. Binding to the host cell is often a prerequisite for ESP function [11, 17–19, 27]. Some ESP
molecules react to the molecules on the surface of the host cell to form receptor-ligand com-
plexes, similar to many other receptor-ligand systems, for example, galectin binds β-galactoside
sugars in a metal-independent manner [28, 29]. Despite the large number of ESP molecules and their diverse functions, few ESP proteins
have been identified and functionally characterized, particularly in vivo, and the ESP receptors
on the host cell surface have not been fully characterized. Peripheral blood mononuclear cells
(PBMCs) consist of several populations of immune cells, included lymphocytes (T cells, B cells,
and NK cells) and monocytes that play important roles in the immune responses. Previously
we reported that, HcESPs had immune suppressive potential on the goat PBMCs in vitro [30]. The present study is the first to analyze HcESPs from different developmental stages of H. con-
tortus that interact with goat PBMCs in vivo using proteomics. This study will facilitate the elu-
cidation of HcESP functions and the mechanisms of H. contortus immune evasion and
pathogenesis. 2 / 26 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Production of anti HcESP polyclonal antibodies (IgGHcESP) To generate polyclonal antibodies against HcESP (IgGHcESP), 0.4 mg of HcESP protein was
mixed with Freund’s complete adjuvant (1:1) and injected subcutaneously into 3 female Spra-
gue Dawley (SD) rats [27, 32]. Rats received four doses at 2-week intervals. Ten days after the
last injection, the rats were anesthetized with diethyl ether, sera containing specific anti-HcESP
antibodies were collected, and the concentration of antibodies was determined by ELISA. The
specific reactivity with HcESPs was confirmed by western blot analysis. Production of H. contortus excretory and secretory product (HcESP) in
i To harvest ESP, the standard procedure for H. contortus described by Yatsuda et al. was used
[16]. Briefly, H. contortus (Nanjing strain) adult worms were harvested from the abomasum of
an experimentally infected donor goat, washed several times with PBS, and incubated for 4 h in
RPMI 1640 medium (100/ml) containing antibiotics (100 IU of penicillin, 0.1 mg/ml strepto-
mycin, and 5g/ml gentamicin) at 37°C under 5% CO. The medium was then removed, and the
parasites were incubated in new medium containing 2% glucose overnight. The supernatant
was collected, centrifuged, filter-sterilized (0.2 m), concentrated, and desalted (10 mMTris,
NaCl pH7.4) using 3 kDa filters (Centriprep YM-3, Millipore). The protein concentration was
determined by the Bradford assay [31]. Western blot analysis of the specificity of IgGHcESP Purified HcESP (20 μg) were resolved by 10% SDS-PAGE and transferred to Hybond-C extra
nitrocellulose membranes (Amersham Biosciences, UK). Non-specific binding was blocked by
incubating the membranes in 5% skim milk in Tris-buffered saline (TBST) for 1 h at room
temperature. The membranes were then washed 5 times (5 min each) with TBS containing
0.1% Tween-20 (TBST), followed by incubation with the primary antibodies (IgGHcESP) for 1 h
at 37°C (1:100 dilution in TBST). After washing 5 times with TBST, the membranes were incu-
bated with HRP-conjugated rabbit anti-rat IgG (Sigma, USA) for 1 h at 37°C (diluted 1:2000 in
TBST). Finally, the immunoreaction was visualized after incubation with freshly prepared dia-
minobenzidine (DAB, Sigma) as a chromogenic substrate for 5 min. Materials and Methods
Ethics Statement Animal experiments were conducted following the guidelines of the Animal Ethics Committee,
Nanjing Agricultural University, China. All experimental protocols were approved by the Sci-
ence and Technology Agency of Jiangsu Province. The approval ID is SYXK (SU) 2010–0005. Co-immunoprecipitation of HcESPPBMC-interacting proteins Co-IP was performed using the Protein A/G PLUS-Agarose Immunoprecipitation Kit (Santa
Cruz Biotechnology, USA) according to the manufacturer’s instructions. Briefly, 4× 107
PBMCs were collected from experimentally infected goats (in vivo) were pelleted and lysed
with 3 mL of NP-40 lysis buffer (50 mM Tris pH 7.4, 150mM NaCl, 1% NP-40) containing pro-
tease inhibitor cocktail (Merck, USA). Cellular debris was pelleted by centrifugation at 10,000 x
g for 10 min at 4°C, and the supernatant was transferred to a new tube. The cell lysate was pre-
cleared by incubation with 1 μg of rat normal IgG and 20 μL of Protein A/G PLUS-Agarose
beads at 4°C for 30 min. After pelleting the beads by centrifugation at 1,000 ×g for 5 min at
4°C, the protein concentration of the supernatant (cell lysate for IP) was determined using the
PierceTM BCATM Protein Assay (Thermo Fisher Scientific, USA). A 1-mL aliquot of the above lysate was incubated with IgGHcESP overnight at 4°C. Immune
complexes were isolated using 20 μL of protein A/G plus agarose. Immunoprecipitates were
collected by centrifugation at 2,500 rpm for 5 min at 4°C. The supernatant was carefully aspi-
rated and discarded, and the pellet was washed four times with RIPA buffer. After the final
wash, the pellet was resuspended in 1X SDS buffer. Collection of PBMCs from goats experimentally infected with H.
contortus To identify HcESPPBMC-interacting proteins, three male Boer goats (2 years old) were raised
under nematode-free conditions for the in vivo experiment. Infective stage larvae (L3) of H. contortus were produced in vitro, and 8000 L3 were administered to the nematode-free goats. The goats were monitored during the entire experimental period. To confirm H. contortus
infection, fecal samples were collected from the rectum of each infected goat twice each week
and checked for the presence of H. contortus eggs. Food and water were provided to all animals
ad libitum. Twenty milliliters of heparinized blood was collected from each goat after 7 (L4 3 / 26 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo stage), 15 (L5 stage), 40 (early adult stage) and 60 days (late adult stage) by vein puncture. PBMCs were separated by the standard Ficoll-Hypaque (GE Healthcare, USA) gradient centri-
fugation method [33], and isolated PBMCs were used to identify HcESP/PBMC-interacting
proteins by co-immunoprecipitation (Co-IP), western blot and liquid chromatography–tan-
dem mass spectrometry (LC-MS/MS) analyses. Confirmation of the proteins of HcESP interacted with PBMCs in vivo by
Western blot The immunoprecipitates obtained by Co-IP were used to confirm HcESP interation in vivo by
western blot using IgGHcESP as the primary antibody as described in the previous section. Functional annotation improvement by STRING protein clustering
analysis STRING DB (version 9.1) was used to improve the functional annotation and analyze the func-
tional networks among protein families [35, 36]. The sequences of unassigned proteins were
retrieved from the UNIPROT-KB and subjected to protein clustering analysis to identify func-
tional protein association networks using the STRING tool (http://string.embl.de/) [37]. Orthologous protein groups matching our queries were used for functional association net-
works and gene ontology annotation. A STRING conservative score threshold of 0.4 was
applied to calculate a confidence score on the basis of the conserved gene neighborhood, gene
fusion events, and significant co-occurrence and co expression. Gene Ontology (GO) Gene ontology (GO) annotation was performed using BLAST2GO (version 2.7.2). The
sequence alignment software NCBI BLAST + (ncbi-blast-2.2.28 + -win32.ext) was used to com-
pare the identified protein sequences and the protein sequence NCBI nr database. According
to the principle of similarity, functional information for homologous proteins can be used for
the functional annotation of target proteins. Only results in the top10 and with an E value 1
e-3 ratio in subsequent sequence analysis were retained. A resulting ratio of similarity of 42–
100% was considered. Database search Data were searched against an in-house H. contortus sequence Uniprot database (21,722 pro-
tein entries) based on the recently published Haemonchus genome [34] using the search engine
Mascot (v.2.2, Matrix Science, London, UK), allowing a maximum of two missed cleavages. Carbamidomethyl (C) was specified as a fixed modification and oxidation (M) as a variable
modification. In-solution trypsin digestion and liquid chromatography–tandem mass
spectrometry (LC-MS/MS) In-solution trypsin digestion and LC-MS/MS of immunoprecipitates were performed at Shang-
hai Applied Protein Technology, Co. Ltd. MS data for protein identification were obtained
using Q Exactive (ThermoFinnigan, San Jose, CA). Approximately 30μg of sample was boiled
with 30μL of STD buffer in a water bath for 5 min and cooled to room temperature. A 200-μL
aliquot of UA buffer (8 M Urea, 150mMTris-HCl, pH 8.5) was added, followed by 30 kDa
ultrafiltration centrifugation. After centrifugation, the filtrate was discarded, and 100μL of IAA
(50mM IAA in UA) was added. After oscillation for 1 min, the sample was incubated at room
temperature in the dark for 30 min, centrifugation was repeated as above, and the filtrate was
discarded. Then, 100 μL of UA buffer was added, and the sample was centrifuged twice. Finally,
100μL of 25mM NH4HCO3 was added and centrifuged twice as described above. The solution
was then digested with 40μL of trypsin overnight at 37°C. Dried peptides were dissolved in 40μL of 0.1% formic acid (FA), and a 20μL aliquot was
desalted for 10 min on a C-18 pre-column (Zorbax 300SB-C18 peptide traps, Agilent Technol-
ogies, Wilmington) pre-equilibrated with 0.1% FA. Separation was performed by capillary
high-performance liquid chromatography (0.15 X 150mm RP C18 analytical column, Column
Technology Inc.) at 200°C using a chromatographic gradient of 0.1% FA in H2O (A) to 0.1%
aqueous FA in 84% ACN (B) over 60 min (liquid linear gradient of solution A: 1–4% (1–50 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 4 / 26 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo min), 4 to 50% (50–54 min) and linear gradient of solution B from 50–100% (54–60 min); B
was maintained at 100%). PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Table 1. Oligonucleotide primer sequences for PCR. Name
Accession No. Sequences(5’- 3’)
Haemonchus contortus 14-3-3 (Hc-ftt)
CDJ94531
GGATCCATGGCTGACAATAAGGATG
GAATTCCAATTTGCACCTTCTCCTT
Haemonchus contortusADP-ribosylation factor (Hc-arf)
CDJ89627
AAAGGATCCATGGGTAACATTTTCGG
GCGCTCGAGTTATCCTCTGTTTTTCA
Haemonchus contortusserine/ threonine protein kinase (Hc-stk)
AF457202
AAGCTTATGGTTCCGGCCTCTTATCAGA
GAATTCTCGACTGACCGGCAGGAGCTTG
Haemonchus contortus SCP-like extracellular-domain-containing protein (Hc-scp)
CDJ81443
GAATTCATGTGTCCAGACACCAATGGTA
AAGCTTTTATGGGGCAATACAGAGAGCT
/ Table 1. Oligonucleotide primer sequences for PCR. Name purity of the protein preparation was determined by SDS-PAGE. Protein concentrations were
determined by the Bradford method. Endotoxins were removed from the recombinant proteins
using the ToxinEraserTM Endotoxin Removal kit (GeneScript, USA). Polyclonal antibodies
against the recombinant proteins were produced as described above. Production and analysis of the specificity of anti-HcESP polyclonal
antibodies (IgGHcESP) IgGHcESP was produced by injection of SD rats with HcESP protein mixed with Freund’s com-
plete adjuvant, and the specificity of IgGHcESP was confirmed by western blot using HcESP as
the antigen. Normal rat serum was used as a control. Bands from 13 to 180 kDa were detected
by IgGHcESP, and no bands were recognized by the normal rat serum (Fig 1). Interaction of recombinant proteins with PBMCs Heparinized blood was collected by vein puncture from dewormed healthy goats. PBMCs were
separated as described in the previous section and washed twice in Ca2+2+/Mg- free PBS pH
7.4. Cell viability assessed by means of the trypan blue exclusion test was consistently >95%. The PBMC were resuspended to a final density of 1×105 cells/ml in RPMI 1640 medium con-
taining 10% heat inactivated fetal calf serum (FCS), 100 U/ml penicillin and 100 mg/ml strep-
tomycin (gibco, Life Technology). PBMCs were incubated in the presence and absence of
recombinant proteins (5μg/ml) for 1 h at 37°C. Confirmation of interaction was determined by
an immunofluorescence assay (IFA) as described by Yuan et al. [40]. Briefly, washed cells (105 /
ml) were fixed with 4% paraformaldehyde on a poly-L-lysine-coated glass slide. The cells were
then treated with blocking solution (4% BSA in PBS) for 30 min to minimize background stain-
ing. After sequential incubation with rat anti-recombinant protein IgG (1:100) for 2 h and a
secondary antibody (1:300) coupled to the fluorescent dye Cy3 (Beyotime, Jiangsu, China),
nuclear staining with 2-(4-amidinophenyl)-6-indole carbamidinedihydrochloride (DAPI,
1.5μM; Sigma, MO, USA) was performed for 6 min. Then, protein localization was determined
by observing the staining patterns with a 100× oil objective lens on a laser scanning confocal
microscope (L SM710, Zeiss, Jena, Germany). Digital images were captured using the Zeiss
microscope software package ZEN 2012 (Zeiss, Jena, Germany). Validation of proteomic data by interaction analysis of recombinant
proteins identified at different developmental stages To validate the proteomic data, we confirmed the interaction of 6 recombinant proteins identi-
fied at different developmental stages to goat PBMCs. The genes encoding 14-3-3 (Hc-ftt),
ADP-ribosylation factor (Hc-arf), SCP-like extracellular-domain-containing protein (Hc-scp)
and serine threonine kinase (Hc-stp) were cloned using specific reverse and forward primers
(Table 1). The genes encoding actin [38], and glyceraldehyde-3-phosphate dehydrogenase
(HcGPDH) [39] were previously cloned in our laboratory. Briefly, the ORF of each gene was
amplified by RT-PCR and cloned into pMD-19T (Takara Biotechnology). After double diges-
tion with the corresponding restriction enzymes, DNA fragments were recovered and success-
fully sub-cloned into the pET32a (+) expression vector. Escherichia coli BL21 cells containing
the recombinant gene expression plasmid were cultured in Luria-Bertani medium with ampi-
cillin (100 μg/mL), and expression of the recombinant proteins (rHc-ftt, rHc-arf, rHc-scp,
rHc-stp, rHc-act, rHc-GPDH) was induced by IPTG. The histidine-tagged fusion protein was
purified from the bacterial lysates using the His-Bind Resin Chromatography kit (Novagen)
and dialyzed in phosphate buffered saline (PBS, pH 7.4) to remove imidazole. The purified
recombinant proteins were dissolved in PBS (pH 8.0) containing 0.1mM DTT (PBS/DTT). The PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 5 / 26 Confirmation of the interaction of HcESPs with goat PBMCs in vivo PBMCs collected from the experimentally infected goats were used to confirm the interaction
of HcESP with PBMCs in vivo. Protein extracted from the infected goat PBMCs was PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 6 / 26 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Fig 1. Protein profile of H. contortus ESP (HcESP) and western blot analysis of HcESP probed with rat
anti-HcESP. (c) Control using normal rat serum as the primary antibody. doi:10.1371/journal.pone.0159796.g001 Fig 1. Protein profile of H. contortus ESP (HcESP) and western blot analysis of HcESP probed with rat
anti-HcESP. (c) Control using normal rat serum as the primary antibody. doi:10.1371/journal.pone.0159796.g001 doi:10.1371/journal.pone.0159796.g001 concentrated by Co-IP. Western blot analysis of the immunoprecipitate using IgGHcESP as the
primary antibody confirmed the interaction of HcESPs with the goat PBMCs collected from
the experimentally infected goats on day 7 (L4 stage), 15 (L5 stage), 40 (early adult stage) and
60 (late adult stage) post infection (Fig 2). PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Analysis of HcESP interacting proteins in vivo by LC-MS/MS The interaction of HcESPs with goat PBMCs in vivo at different stages of H. contortus develop-
ment was analyzed by LC-MS/MS after the interacting proteins were concentrated by Co-IP
(S1 Fig). A total of 407 interacting proteins in vivo were identified from the H. contortus pro-
tein database via SEQUEST searches. Of these proteins, 47 (11.54%) proteins were common to
all developmental stages (S1 Table) including actin, heat shock protein 70, glycoside hydrolase,
glyceraldehyde-3-phosphate dehydrogenase, zinc finger, peptidase, Ras domain, serine threo-
nine protein kinase (STK) and 14-3-3. A total of 94 (23.09%) interacting proteins were common to both the L4 and L5 developmen-
tal stages, including elongation factor 1-alpha, tropomyosin, immunoglobulin I-set and fibro-
nectin, transcription factor E2F dimerization partner (TDP), tenascin-like and cytochrome b5. L5 and the early adult stage shared 76 (18.67%) interacting proteins, including major sperm
protein (MSP), ribosomal proteins (S8, S5 and L2), Mbt repeat, NADH: ubiquinone oxidore-
ductase and dynein light intermediate chain. Fifty-nine (14.49%) proteins were shared between PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 7 / 26 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Fig 2. SDS PAGE and western blot analysis of the Co-IP of in vivo interacting HcESPs with goat PBMCs at
different developmental stages. Marker (M), Immunoprecipitates (IP) and normal rat serum Control (C). (A) L4, (B) L5,
(C) early adult and (D) late adult. doi:10.1371/journal.pone.0159796.g002 Fig 2. SDS PAGE and western blot analysis of the Co-IP of in vivo interacting HcESPs with goat PBMCs at
different developmental stages. Marker (M), Immunoprecipitates (IP) and normal rat serum Control (C). (A) L4, (B) L5,
(C) early adult and (D) late adult. doi:10.1371/journal.pone.0159796.g002 doi:10.1371/journal.pone.0159796.g002 the early and late adult stage. The distribution of the interacting proteins at different develop-
mental stages is summarized in S1 Table and Fig 3. The identified proteins were further categorized according to stage-specific (S2 Table); 98
(24%) interacting proteins were identified at L4 including heat shock protein 90 (HSP90), alde-
hyde dehydrogenase, nematode cuticle collagen, carbohydrate kinase, glucose-methanol-cho-
line oxidoreductase and eukaryotic translation initiation factor 3. At the L5 developmental
stage, 107 (26.3%) HcESP stage-specific interacting proteins were identified, including enolase,
acyltransferase choActase, phosphotyrosyl phosphatase activator, myosin-10, glutamine ami-
dotransferase, annexin, saposin type B and telomerase activating protein Est1. PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Analysis of HcESP interacting proteins in vivo by LC-MS/MS Only 13 inter-
acting proteins were stage-specific in the early adult stage; these proteins included alanine
racemase, amino acid transporter domain-containing protein, aminotransferase, and conden-
sation and AMP-dependent synthetase ligase. In the present study, 48 (11.54%) late adult
stage-specific proteins were identified, these proteins included CK1/WORM6 protein kinase,
protein synthesis factor and translation elongation factor EFTu EF1A and translation PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 8 / 26 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Fig 3. Venn diagram of the interacting proteins shared among different developmental stages in vivo. Fig 3. Venn diagram of the interacting proteins shared among different developmental stages in vivo. doi:10.1371/journal.pone.0159796.g003 doi:10.1371/journal.pone.0159796.g003 elongation factor EFG EF2, selectin-like protein, short-chain dehydrogenase reductase SDR,
EVL-14, transcription factor jumonji 1 and tyrosine protein kinase. elongation factor EFG EF2, selectin-like protein, short-chain dehydrogenase reductase SDR,
EVL-14, transcription factor jumonji 1 and tyrosine protein kinase. PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Gene Ontology (GO) analysis The GO signatures of 234 of the 407 proteins identified in vivo were available in the database. To further understand the functions of the proteins identified in this study, we queried the
InterPro databases. The identified proteins were classified by molecular function, biological
process and cellular component according to the GO hierarchy using a Web Gene Ontology
Annotation Plot (WEGO). Among the 47 shared proteins by all developmental stages, 41 were annotated based on
molecular function, and 5 terms were identified. Most were assigned to binding and catalytic
activity. For biological processes, 29 proteins were associated with 9 terms. Most of the proteins
were related to metabolic, cellular and single organism processes. Among the cellular compo-
nent annotation, 16 proteins were assigned to 5 cellular component terms, and16 proteins were
located in the cell as well as in organelles (Fig 4). GO analysis of the interacting proteins shared PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 9 / 26 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Fig 4. Comparative molecular function, biological process and cellular component GO terms of stage-specific HcESP interacting proteins
at different developmental stages and shared among all developmental stages. doi:10.1371/journal.pone.0159796.g004
LOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016
10 / Fig 4. Comparative molecular function, biological process and cellular component GO terms of stage-specific HcESP interacting proteins
at different developmental stages and shared among all developmental stages. doi:10.1371/journal.pone.0159796.g004 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 10 / 26 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo between the L4 and L5 stages resulted in the annotation of 7 molecular functions; most of the
proteins were assigned to binding and catalytic activity. For biological processes, 10 terms were
identified, primarily metabolic, cellular and single organism processes. An identical distribution of GO terms was observed for the proteins shared between the L5
and early adult stages. Eight terms were identified and binding and catalytic activities were the
major molecular functions. Among the proteins shared by the early and late adult stages, 39
were assigned to binding and 31 to catalytic activity. The distribution of GO terms was nearly
identical for the early and late adult stages (Fig 5). Among the 98 L4 stage-specific proteins, 35 were assigned to 8 molecular function terms. The most abundant terms were catalytic and binding activity. For biological processes, 11
terms were identified. Gene Ontology (GO) analysis Cellular, metabolic, single-organism and localization were the most
abundant terms. According to the cellular component annotation, 7 cellular locations were
assigned to 21 proteins. Cell part, membrane, membrane part and macromolecular complexes
were annotated as the major cellular components. The results of the GO analysis for the 108 L5
stage-specific proteins revealed that 35 proteins were annotated with 9 molecular functions. Binding and catalytic activity were the major terms. For biological processes, 39 proteins were
assigned 8 terms; metabolic, cellular process, single-organism process and localization were the
most abundant biological processes. In the case of cellular component annotation, 28 proteins
were annotated with 8 cellular locations, and most of the annotated proteins were membrane,
cell part and membrane part. Among the 13 early adult stage-specific interacting proteins, only
2 terms related to molecular function were annotated, and 3 proteins were assigned to binding
and catalytic activity. Metabolic processes were a major biological process at this stage, and
only one protein was annotated as a membrane part. GO analysis of 48 late adult stage-specific
proteins revealed a molecular function annotation for 18 proteins. The same pattern of func-
tional distribution described above was observed, and 5 GO terms related to molecular func-
tion were identified. Catalytic and binding activity were the most abundant terms. Seventeen
proteins were annotated as biological process, and 7 terms were attained. Metabolic, cellular
and single-organism processes were the major terms. For cellular components, 7 terms were
identified for 6 proteins. Protein complex and cell part were highly represented terms (Fig 4). PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Improvement of functional annotation by protein clustering The sequences of 173 unassigned interacting proteins were retrieved from UNIPROT-KB and
subjected to protein clustering analysis to determine their functional association network in
the STRING database. In the STRING database, 118/173 (68.20%) proteins were available, and
80 functional associations were predicted. Fig 6 illustrates the functional interaction between
protein orthologues in the nearest organism (Caenorhabditis elegans) and their predicted func-
tional partners. The resultant orthologous protein groups were used to predict function. The
results of the protein clusters and corresponding functional information are summarized in S3
Table and Fig 7. Based on the protein clustering, we discovered new HcESP proteins previously annotated as
hypothetical proteins in the database. An unnamed protein (U6NP15) identified at the L4 and
L5 stages matched WHiTe (Drosophila)-related ABC transporter family member (wht-8) with
56% similarity. An unnamed protein (W6NHX8) identified at the L4 stage matched the P-gly-
coprotein subclass of the ATP-binding cassette (ABC) transporter super family with 66%
homology. ADP-ribosylation factor (arf-1.2) family matched hypothetical protein (U6PBJ7). The identified protein had 97% similarity with C. elegans. Protein cluster analysis enabled the functional characterization of 42 additional proteins
based on GO analysis of homologous proteins. Binding activity was a highly represented 11 / 26 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Fig 5. Comparative molecular function, biological process and cellular component GO terms of
proteins shared between the L4 and L5, L5 and early adult, and early adult and late adult stages. doi:10.1371/journal.pone.0159796.g005
Stage-Specific Binding of HcESPs to Goat PBMCs In Fig 5. Comparative molecular function, biological process and cellular component GO terms of
proteins shared between the L4 and L5, L5 and early adult, and early adult and late adult stages. doi:10.1371/journal.pone.0159796.g005 doi:10.1371/journal.pone.0159796.g005 12 / 26 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Fig 6. Improvement of functional annotation based on protein clustering. (A) STRING functional protein association network of the predicted
associations of unassigned proteins. Nodes of different colors indicate clustering proteins matching our queries. (B) Co-expression graph from C. elegans. (C) Predicted protein functional partners. Fig 6. Improvement of functional annotation based on protein clustering. (A) STRING functional protein association network of the predicted
associations of unassigned proteins. Nodes of different colors indicate clustering proteins matching our queries. (B) Co-expression graph from C. elegans. (C) Predicted protein functional partners. Improvement of functional annotation by protein clustering doi:10.1371/journal.pone.0159796.g006 molecular function including ion binding, cytoskeleton protein binding and DNA binding. Thirty-six biological process terms were identified for 56 proteins. Anatomical structure devel-
opment, embryo development, reproduction, locomotion and transport were highly repre-
sented terms. Discussion Excretory and secretory products (ESPs) are produced and released by parasites during in vitro
cultivation [11] and in vivo [12]. H. contortus excretory and secretory products (HcESPs) con-
tain many proteins [16] and performed diverse functions such as tissue penetration and host
protein degradation [14]. It was previously reported that early expression of TH2 cytokine IL-4
and upregulation of genes that recruit neutrophils (CXCL1) and macrophages (MCP1) was
associated with the resistance to H. contortus [41]. Estrada-Reyes et al. [42] reported the high
regulation of IL-5 at 2, 7 and 14 days post-infection (PI) and IL-6 at 14 days PI of H. contortus. In our previous study, HcESPs displayed suppressive potential on the goat PBMCs in vitro. They inhibited the productions of IL-4, IFN-γ, nitric oxide, cell proliferation, whereas
increased the production of suppressive cytokine IL-10, inflammatory modulator IL-17 and
cell migration [30]. However, the protein or proteins of HcESPs that govern the functions of
HcESPs in vitro or in vivo are unknown. In the present study, the interactions of HcESP at dif-
ferent developmental stages with goat PBMCs in vivo were evaluated by Co-IP followed by
LC-MS/MS. A total 407 non-redundant H. contortus proteins that interacted with goat PBMCs
in vivo were identified by searching the H. contortus Uniprot database. This study is the first to
report the in vivo identification of HcESP interacting proteins from the L4 to adult stage of
worms living in the goat host. We purified 6 recombinant HcESP interacting proteins to vali-
date the proteomic data and the interaction of these proteins with goat PBMCs by IFA. Excretory and secretory products (ESPs) are produced and released by parasites during in vitro
cultivation [11] and in vivo [12]. H. contortus excretory and secretory products (HcESPs) con-
tain many proteins [16] and performed diverse functions such as tissue penetration and host
protein degradation [14]. It was previously reported that early expression of TH2 cytokine IL-4
and upregulation of genes that recruit neutrophils (CXCL1) and macrophages (MCP1) was
associated with the resistance to H. contortus [41]. Estrada-Reyes et al. [42] reported the high
regulation of IL-5 at 2, 7 and 14 days post-infection (PI) and IL-6 at 14 days PI of H. contortus. In our previous study, HcESPs displayed suppressive potential on the goat PBMCs in vitro. In our study, 47 HcESP interacting proteins were common among all developmental stages. Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Fig 7. Distribution of Gene Ontology terms improved by protein clustering of 173 unassigned HcESP proteins that bound goat PBMCs at
different developmental stages. Fig 7. Distribution of Gene Ontology terms improved by protein clustering of 173 unassigned HcESP proteins that bound goat PBMCs at
different developmental stages Fig 7. Distribution of Gene Ontology terms improved by protein clustering of 173 unassigned HcESP proteins that bound goat PBMCs at
different developmental stages. doi:10.1371/journal.pone.0159796.g007 Validation of proteomic data by assessing recombinant HcESPs
interacted with PBMCs To validate the proteomic data, we purified 6 recombinant proteins (rHc-ftt, rHc-arf, rHc-
scp, rHc-stp, rHc-act and rHcGPDH) identified at different developmental stages as inter-
acting proteins with goat PBMCs. Interaction of the recombinant proteins with goat
PBMCs was confirmed by immunofluorescence. Nuclei were stained with DAPI (blue fluo-
rescence), and confocal microscopy images revealed that the recombinant proteins were
interacted with the cell surface (red fluorescence). In the control group, no red fluorescence
was observed (Fig 8). 13 / 26 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Discussion Among them, 4 peptidase proteins including cysteine peptidase (C46), serine peptidases (S9 &
S28) and metalloprotease (M13) were identified. Significant expression of all three classes of
peptidases in the parasitic L4 to adult stages has been reported [43]. Schwarz et al. reported
more than 120 upregulated peptidase genes in H. contortus parasitic stages, and various clans
were predicted to be secreted peptidases, including metallopeptidases (M 12A, M01, M13,
M12A, M10A), aspartic peptidases (A01A) and cysteine peptidases (CA01A) [10]. The identifi-
cation of secreted proteins related to the peptidase family in the current research supports
these reports, which indicated that these proteins play a crucial part in the catabolism of globin PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 14 / 26 contortus PKs to goat PBMCs sug-
gests that this kinase might also play a significant role in the functional regulation of goat
PBMCs. We identified the secreted H. contortus 14-3-3 protein as a goat PBMC-interacting protein
in all parasitic stages. Gene sequences of 14-3-3 have been reported for several protozoan and
metazoan parasites, including Plasmodium falciparum, Trypanosoma cruzi, Toxoplasma gondii,
Neosporacaninum, Eimeria tenella, Schistosoma japonicum, Echinococcus granulosus, Meloido-
gyne incognita [53–59]. 14-3-3 proteins are phosphoserine-binding proteins that control the
actions of a wide range of targets via direct protein–protein interactions. In animal cells, the
majority of the known targets of 14-3-3 proteins are involved in signal transduction, transcrip-
tion and proliferation [60–62]. Our findings indicate that the H. contortus 14-3-3 protein may
act in signal transduction. The cytoskeletal protein actin was identified as an interacting protein in all stages. Actin has
been detected in different helminths [63, 64] and is involved in very important cellular func-
tions, including cell division, secretion, signaling, cellular shape and volume regulation, move-
ment and phagocytosis [65, 66]. The effects of the interaction of H. contortus actin with host
PBMCs merits further study. We observed that H. contortus HSP70 interacted with goat PBMCs in vivo in all develop-
mental stages. HSP70 proteins are molecular chaperones that play important roles in the pro-
cess of invasion, response to stress and survival in nematodes. HSP70 has been identified in
several parasitic nematodes [67–69], but there is minimal information available for H. contor-
tus [70, 71]. The transition from the L3 to L4 stage is key to the establishment of parasitism by H. contor-
tus. ESPs play a very important role in pathogenesis and induce immune modulation at the
early stage of infection. L4 is the first blood-feeding stage of H. contortus, and at this stage,
genes related to motor activity and metabolism occur in the parasite [72]. Here, we observed
high proteomic complexity of the HcESPs that interacted with goat PBMCs at different devel-
opmental stages. HcESP interacting proteins were more abundant at the L4 and L5 stages than
at the early and late adult stages [73]. A previous study reported that 234 proteins were upregu-
lated in the L4 stage compared to L3 [10]. In our study, 209 and 217 proteins were identified at
the L4 and L5 stages, respectively, and 94 interacting proteins were shared between the 2 stages. Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Fig 8. Interaction of recombinant proteins (A): rHc-ftt, (B): rHc-arf, (C): rHc-scp, (D): rHc-stp, (E): rHc-act and (F): rHcGPDH) to PBMC. PBMCs were
untreated as controls or treated with the recombinant proteins. The cell nuclei were visualized by DAPI (blue) staining. Staining of the target proteins (red)
was visualized by a Cy3-conjugated secondary antibody. Fig 8. Interaction of recombinant proteins (A): rHc-ftt, (B): rHc-arf, (C): rHc-scp, (D): rHc-stp, (E): rHc-act and (F): rHcGPDH) to PBMC. PBMCs were
untreated as controls or treated with the recombinant proteins. The cell nuclei were visualized by DAPI (blue) staining. Staining of the target proteins (red)
was visualized by a Cy3-conjugated secondary antibody. doi:10.1371/journal.pone.0159796.g008 doi:10.1371/journal.pone.0159796.g008 doi:10.1371/journal.pone.0159796.g008 by hemoglobin cleavage [1]. Development from L3 to L4 in vitro leads to the release of a metal-
loprotease enzyme that inhibits blood clotting and thus facilitates blood feeding [1, 44]. We
confirmed the above finding in vivo and report for the first time the presence of these peptidase
proteins in the blood circulation. These findings support previous genomic studies reporting
that genes encoding peptidase proteins are transcribed at a higher level in the host compared to
free-living stages [10, 16]. In the present study, a key glycolytic enzyme, glyceraldehyde-3-phosphate dehydrogenase
(GPDH), was identified as interacting protein with goat PBMCs in vivo in all developmental
stages. GPDH plays an important role in host invasion of the worm in addition to its glycolytic
activity [45, 46]. This protein could play a key role in immune modulation by binding comple-
ment (C3) and thus inhibiting complement activity [2]. GPDH is essential for inducing the T
helper (Th1 and Th17) immune response during natural infection [47]. Our findings suggested
that GPDH plays an important role in immune modulation and is one of the most important
HcESP proteins. In the present study, the serine/threonine kinases (PKs) were also identified in all stages. This finding is in agreement with the results of previous studies [10, 48]. PKs play a vital role in PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 15 / 26 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo the cellular signaling transduction involved in cell proliferation, differentiation, cell-cycle pro-
gression, transcription, DNA replication, metabolic processes, phosphorylation, apoptosis,
autophagy and inflammation [49–52]. The interaction of H. PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Most of the shared proteins were related to binding (n = 51), catalytic activity (n = 41) and
metabolism (n = 51).Our findings suggest the active involvement of these proteins in parasit-
ism and immunemodulation. SCP-like extracellular-domain-containing protein (vap-1) was identified as an interacting
protein in the L4 and L5 stages. Vap-1 encodes a predicted secreted protein that is similar to the
venom allergen-like proteins reported in a number of invertebrates, including parasitic nema-
todes [74–76]. Schwarz et al. identified 82 genes related to SCP proteins including 54 upregu-
lated genes in the parasitic stages [10]. Previously, two proteins related to the SCP-like proteins
Hc24 and Hc40 were reported in the ESPs of adult H. contortus [12, 77]. Our findings support
these previous results, and the interaction of these proteins with goat PBMCs at multiple stages
in vivo suggests a critical role of SCP-like proteins in infection and may be immunomodulatory
factors. Elongation factor-1α protein is involved in signaling activity and was identified in our study
at L4 and L5. EF-1α is highly conserved and ubiquitously expressed in all eukaryotic cells [78]. EF-1α proteins has been reported in parasites including Cryptosporidium hominis,
Trichomonas vaginalis, Trypanosoma brucei, Clonorchis sinensis and Brugia malayi [79–83] Trichomonas vaginalis, Trypanosoma brucei, Clonorchis sinensis and Brugia malayi [79–83] 16 / 26 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo Functionally, EF-1α transfers aminoacylated tRNAs to the ribosome A site in a GTP-depen-
dent reaction [84]. In addition, EF-1α appears to have a number of other functions associated
with cell growth, motility, protein turnover, and signal transduction [85, 86], DNA replication/
repair protein networks [87] and apoptosis [88]. The interaction of EF-1α with host PBMCs
indicates its active role as an immune depressant and warrants further investigation. A total of 102 proteins were identified at the early adult stage, and 76 were shared between
the L5 and early adult stages. Fewer HcESPs interacted at the adult stage compared to the L4
and L5 stages. Thus, the parasite releases more ESPs in the early stages of infection to modulate
immune function for parasite survival. Studies of expressed sequence tag (EST) data have pro-
vided transcriptional and genomic insights on the different developmental stages of H. contor-
tus [10, 59, 72, 89]. We identified 3 ribosomal proteins (S8, S5 and L2) at the L5 and early adult
stages. Zamanian et al. [83] identified 14% ribosomal proteins of the B. malayi exosome-like
vesicles (ELVs) released from the infective L3 stage. Ribosomal proteins actively participate in
cellular processes other than protein biosynthesis and can act as components of the translation
apparatus, cell proliferation and apoptosis [90]. Cantacessi et al. employed an in silico subtrac-
tion approach to identify H. contortus L3 and xL3 genes and predicted that H. contortus L3-spe-
cific genes encoding ribosomal proteins [91] were required for phagocytosis [91, 92]. Our
findings confirm these previous reports, and the participation of ribosomal proteins in cellular
processes should be further investigated. We identified 137 proteins at the late adult stage. Fifty-nine proteins were shared between
the early and late stages. Among them, serine/threonine-protein phosphatase (STPs) was iden-
tified as an important interacting protein. STPs from various parasites have been functionally
characterized [93–95]. Protein phosphatases are involved in major biological processes such as
cell division, apoptosis and exocytosis [96]. STPs are often involved in signal transduction and
transcriptional activation [97–99]. Our findings suggest that H. contortus STPs might be
involved in various biological processes, particularly signal transduction. We identified 98 stage-specific HcESP interacting proteins in the L4 developmental stage,
including heat shock protein 90, extracellular ligand-binding receptor, aldehyde dehydroge-
nase, carbohydrate kinase, myosin-4, aldehyde dehydrogenase and glucose-methanol-choline
oxidoreductase. A total of 107 L5 stage-specific proteins were identified, including enolase,
saposin type B, myosin-10, aromatic amino acid beta-eliminating lyase threonine aldolase and
annexin. Genes or ESTs transcribed during different developmental stages have been investi-
gated previously [10, 72]. Hartman et al. reported that the cysteine protease, Hc42, Hc60 and
vitellogenin genes were transcribed at the adult stage, whereas glutathione peroxidase, alpha-
tubulin, Hc43 and Hc38 were transcribed at the L3 and adult stages [44]. The immunological
involvement of these stage-specific HcESP proteins remains to be further characterized. Scaffold proteins are essential components of signaling functions such as the trafficking,
anchoring and multimerization of glutamate receptors and act as adhesion molecules [100–
102]. We identified 53 HcESP scaffold proteins that interacted with goat PBMCs at different
developmental stages in vivo, including 27 in L4 and 28 in L5. Interestingly, only 5 and 10 scaf-
fold proteins were observed at the early and late adult stages. Low concentrations of scaffold
proteins increase the output of cascades, but as the concentration of the scaffold proteins
increases, the output of the cascade decreases. PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 At an elevated concentration of scaffold proteins,
one molecule can bind only one kinase molecule, and thus the output of the signaling cascade
is also very low [103, 104]. The high concentration of scaffold proteins observed at the L4 and
L5 stages in the present study could represent a mechanism of immune modulation by combi-
natorial inhibition of the signaling cascade. We identified the hypothetical H. contortus protein (U6PBJ7) as a member of the ADP-
ribosylation factor (arf-1.2) family by STRING protein clustering. This highly conserved family 17 / 26 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo is involved in a wide range of cell functions. ARF proteins are N-myristoylated GTPases, which
are involved in membrane trafficking, actin cytoskeleton, regulation of apoptotic fate and acti-
vation of phospholipase D1 (PLD1) and phosphatidylinositol 4-phosphate 5-kinase [105–107]. The present study is the first to report interaction of the HcESPARF-1.2 protein with goat
PBMCs in vivo at multiple developmental stages. In our study, another hypothetical HcESP
protein (W6NHX8) identified at the L5 stage was confirmed as P-glycoprotein-9 (pgp-9), part
of the ATP-binding cassette (ABC) or traffic ATPase subclass, by STRING protein clustering
analysis. The H. contortus Pgp gene may be involved in host-parasite interaction, particularly
in eosinophil granule product detoxification [108, 109]. Nematode parasites undergo impor-
tant adaptations during the transition from free-living to parasitic stages, such as evasion of the
host immune reaction, metabolism and growth. Issouf et al. [108] compared the expression
level of Pgps in free and parasitic stages and reported that Hco-pgp-9.2, Hco-pgp-11, Hco-pgp-
3 and Hco-pgp16 mRNAs were over expressed in the L4 and adult stages. Here we report for
the first time that H. Contortus P-glycoprotein-9 (pgp-9) interacted with goat PBMCs at the L5
stage in vivo. Secreted extracellular vesicles (EVs) play an important role in parasite-host interactions. Exosomes considered highly bioactive EVs that facilitated cell to cell communication in many
eukaryotes and prokaryotes [110]. Several studies on various parasites including helminths
demonstrated that EVs could carry and deliver virulence factors such as proteins and sRNAs to
the host [111–115]. In the present study, various HcESPs interacting proteins including annex-
ins, GAPDH, actin, HSP70, HSP90, 14-3-3 proteins, tubulin, ras-related protein, histone, ATP
synthase subunit alpha, HSP DnaJ, eukaryotic translation initiation factor 3, enolase, ribosomal
proteins and acyltransferase ChoActase were identified at various developmental stages in vivo. PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 In the previous studies these interacting proteins were recognized as members of EVs [83, 116,
117]. The interaction of these EVs related HcESPs with goat PBMCs suggested their important
regulatory role in host–parasite interaction. To provide a comprehensive understanding of the roles of the H. contortus proteins that
interact with host PBMCs, the identified proteins were functionally categorized based on the
GO annotation of molecular functions, biological processes and cellular components. Of the
407 proteins identified in vivo, 173 (42.50%) did not have assigned GO terms. These unanno-
tated proteins were further analyzed by clustering of homologous proteins via STRING data-
bases to enhance the functional annotation prediction. For molecular function GO annotation, the most enriched functions of the HcESPs were
related to binding activity. Proteins associated with these functions are involved in ATP bind-
ing, nucleotide binding, protein binding, GTP binding, DNA binding, motor activity, transla-
tion elongation factor activity, GTPase activity, protein kinase C inhibitor activity, protein
hetero- and homodimerization activity, protein polymerization and signaling activity [16, 118,
119]. The biological process GO results revealed that the most represented categories were
annotated as transport, metabolic, catabolic and phosphorylation processes. A nearly identical
profile of biological process annotation was reported by Moreno et al. for Heligmosomoides
polygyrus ESPs [118]. The functional annotation of proteins can be predicted and improved by clustering of
homologous proteins. The functional annotation of parasite proteins is often constrained by
the small proportion of genes with homologs in model organisms [120]. However, based on
the clustering of homologous proteins [50, 121], we were able to enrich the GO annotations of
173 unannotated proteins identified at different developmental stages. Clustering the homolo-
gous proteins increased the GO annotation by 24.27% for molecular function annotation,
23.36% for biological process and 22.54% for cellular components. 18 / 26 PLOS ONE | DOI:10.1371/journal.pone.0159796
July 28, 2016 Stage-Specific Binding of HcESPs to Goat PBMCs In Vivo In conclusion, we analyzed the interaction of HcESPs with host PBMCs in vivo at different
developmental stages. Many of the identified proteins were highly developmentally specific
proteins. The large numbers and the complexity of the interacting proteins indicated that the
HcESPs interact with the host immune cells in complex ways and result in complex regulation
of the host immune cells. Our data provide a baseline for understanding the relationship
between the parasite and host. S1 Table. List of identified interacting proteins of HcESP with goat PBMCs shared among
different developmental stages in vivo.
(DOCX) S1 Table. List of identified interacting proteins of HcESP with goat PBMCs shared among
different developmental stages in vivo. (DOCX) S1 Table. List of identified interacting proteins of HcESP with goat PBMCs shared among
different developmental stages in vivo. (DOCX) S2 Table. List of developmental stage specific interacting proteins of HcESP with goat
PBMCs identified at different time points in vivo. (DOCX) S3 Table. List of proteins available on STRING database matched with our Query
sequences of unassigned proteins analyzed for functional annotation improvement by pro-
tein clustering analysis. (DOCX) However, the interacting partners and the regulatory mecha-
nisms of specific proteins remain to be further investigated. The functions of the novel interact-
ing proteins and the nature of the unassigned proteins also require further study. Acknowledgments The project was supported by the “National Key Basic Research Program (973 program) of
China” (Grant No. 2015CB150300) and by the Priority Academic Program Development of
Jiangsu Higher Education Institutions (PAPD). Author Contributions Conceived and designed the experiments: XL JAG. Performed the experiments: JAG SW GB
ME. Analyzed the data: JAG RY XS. Contributed reagents/materials/analysis tools: LX. Wrote
the paper: JAG XL. Supporting Information S1 Fig. Digestion of peptides by trypsin and MS identification using capillary high-perfor-
mance liquid chromatography. Total ion flow diagram of HcESPs interacted with goat
PBMCs at the (A) L4, (B) L5, (C) early adult and (D) late adult stages. (TIF) PLOS ONE | DOI:10.1371/journal.pone.0159796
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PMID: 23266393. 26 / 26
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Dynamic Systems with Baseline Exponential Distribution Based on Sequential Order Statistics Under a Power Trend for Hazard Rates
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Journal of statistical theory and applications
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1. INTRODUCTION Let X1, ⋯, Xn be independent and identically distributed (i.i.d.) random variables with a common distribution function (DF), say F, and
abbreviated by X1, ⋯, Xn
i.i.d. ∼F. Denote in magnitude order of X1, ⋯, Xn by X1∶n ≤⋯≤Xn∶n, called order statistics (OSs). The theory
of OSs has been widely assumption in literature. For example, in system reliability analyses, lifetimes of r-out-of- n systems coincide to
Xr∶n where X1, ⋯, Xn stand for component lifetimes; For more information, see Barlow and Proschan [1] and David and Nagaraja [2] and
references therein. In this setting, failure of a component does not effect the surviving components. There are various practical situations in which this investi-
gated and applied does not hold. For illustration, suppose that there exist n power generators with nominal capacity G1, ⋯, Gn. The system
perform satisfactory if the total generated power is at least a given threshold, say A. If a generator fails, then the remaining generators have
to generate much powers to fulfill the nominal level A and hence more loads cause more pressure on the working generators. Therefore,
the generator lifetimes are decreased. For statistical modeling these kinds of systems, some generalizations of OSs such as fractional OSs
and generalized OSs have been introduced in literature. They are useful for providing more flexible tools and also a setting to unify simi-
lar results (David and Nagaraja [2], p. 21). In this paper, we deal with another unified concept, called the sequential order statistics (SOS),
which has also a motivation in reliability analyses as discussed above. Specifically, when the component lifetimes are i.i.d., the OSs are suit-
able for describing the r-out-of- n system lifetime. Here failing a component does not effect the DFs of lifetimes of surviving components. Motivated by Cramer and Kamps [3], the failure of a component may result in a higher load on the surviving components and hence causes
the lifetime distributions change. More precisely, suppose that Fj, for j = 1, ⋯n, denotes the common DF of the component lifetimes when
n −j + 1 components are jointly working. Then, the components begin to work independently at time t = 0 with the common DF F1. If at
time x1, the first component failure occurs, then the remaining n −1 components are working with the (left truncated) common DF F2 at
x1. Journal of Statistical Theory and Applications
Vol. 19(1), March 2020, pp. 1–9
DOI: https://doi.org/10.2991/jsta.d.200224.005; ISSN 1538-7887
https://www.atlantis-press.com/journals/jsta Journal of Statistical Theory and Applications
Vol. 19(1), March 2020, pp. 1–9
DOI: https://doi.org/10.2991/jsta.d.200224.005; ISSN 1538-7887
https://www.atlantis-press.com/journals/jsta Journal of Statistical Theory and Applications
Vol. 19(1), March 2020, pp. 1–9
DOI: https://doi.org/10.2991/jsta.d.200224.005; ISSN 1538-7887
https://www.atlantis-press.com/journals/jsta Journal of Statistical Theory and Applications
Vol. 19(1), March 2020, pp. 1–9 DOI: https://doi.org/10.2991/jsta.d.200224.005; ISSN 1538-7887
https://www.atlantis-press.com/journals/jsta *Corresponding author. Email: ma.hashempour@hormozgan.ac.ir
Pdf_Folio:1 Keywords Proportional hazard rates
Hypotheses testing
Sequential order statistics
Estimation Mathematics Subject
Classification: 62P30; 62N05;
62G30. © 2020 The Authors. Published by Atlantis Press SARL. © 2020 The Authors. Published by Atlantis Press SARL. This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/). © 2020 The Authors. Published by Atlantis Press SARL. This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/). y
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/) ABSTRACT ART IC L E I N F O
Article History
Received 06 Jan 2018
Accepted 19 Aug 2019
Keywords
Proportional hazard rates
Hypotheses testing
Sequential order statistics
Estimation
Mathematics Subject
Classification: 62P30; 62N05;
62G30. ART IC L E I N F O
Article History
Received 06 Jan 2018
Accepted 19 Aug 2019
Keywords
Proportional hazard rates
Hypotheses testing
Sequential order statistics
Estimation This paper deals with analyzing dynamic engineering systems consisting of independent components. The failure of a compo-
nents causes more load on the surviving components. This property is modeled by a power trend conditionally proportional
hazard rates. For modeling system lifetimes, the theory of sequential order statistics can be used. Sequential order statistics
coming from heterogeneous exponential distributions are considered. The maximum likelihood and Bayesian estimates of the
parameters are obtained in different cases. The generalized likelihood ratio and the Bayesian tests are also derived for testing
homogeneity of the baseline exponential component lifetimes arising from s independent engineering systems. Keywords
Proportional hazard rates
Hypotheses testing
Sequential order statistics
Estimation Majid Hashempour1,*, Mahdi Doostparast2 1 Department of Statistics, School of Sciences, University of Hormozgan, Bandar Abbas, Iran
2 Department of Statistics, School of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran 2. LIKELIHOOD ANALYSIS In the sequel, suppose that we have observed s (≥2) independent heterogeneous SOS samples. The available data may be represented as In the sequel, suppose that we have observed s (≥2) independent heterogeneous SOS samples. The ava ndependent heterogeneous SOS samples. The available data may be represented as x = [[xij]]i=1,⋯,s,j=1,⋯,r,
(2) (2) where the i-th row of the matrix x in (2) denotes the SOS sample coming from the i-th population. The likelihood function (LF) for a single
SOS sample is L(F1, ⋯, Fr; x) =
Γ(n + 1)
Γ(n −r + 1) {
r−1
∏
j=1
fj(xj)
(
Fj(xj)
Fj+1(xj)
)n−j
} fr(xr)Fr(xr)n−r. (3) (3) (3) ailable data given by (2) is then obtained from (3) as e available data given by (2) is then obtained from (3) as Therefore, the LF of the available data given by (2) is then obtained from (3) as Therefore, the LF of the available data given by (2) is then obtained from (3) as L(; x) =
(
n! (n −r)! )s
s
∏
i=1
⎛
⎜
⎜
⎜⎝
r−1
∏
j=1
⎡⎢⎢
⎣
f [i]
j (xij)
⎛
⎜
⎜⎝
F
[i]
j (xij)
F
[i]
j+1(xij)
⎞
⎟
⎟⎠
n−j
⎤⎥⎥
⎦
f [i]
r (xir)F
[i]
r (xir)n−r
⎞
⎟
⎟
⎟⎠
,
(4) (4) where = {F [i]
j , i = 1, ⋯, s, j = 1, ⋯, r} and for i = 1, ⋯, s, j = 1, ⋯, r, F
[i]
j (x) = 1 −F [i]
j (x), and F [i]
j
calls for the common DF of
component lifetimes of the i−th dynamic system. For more details, see Cramer and Kamps [6,12] and Hashempour and Doostparast [11]. Suppose that, the baseline DF of the i-th population (i = 1, ⋯, s) follows the one-parameter exponential distribution with the mean 𝜎i. Substituting Equation (1) into Equation (4) and under the earlier mentioned PTCPHR model in Section 1, the LF of the available data reads L(𝜎1, ⋯, 𝜎s, a; x) = Bs
(
r
∏
j=1
a j
)s
s
∏
i=1
( 1
𝜎i
)r
s
∏
i=1
r
∏
j=1
exp {−
xijmj
𝜎i
}
= Bs
(
a
sr(r+1)
2
) (
s
∏
i=1
𝜎i
)−r
exp {−
s
∑
i=1
r
∑
j=1
(xijmj
𝜎i
)
} ,
(5) (5) where B = (n! /(n −r)! 1. INTRODUCTION This process continues up to n −r + 1 (r = 1, ⋯, n) components with the common DF Fr work until the r-th failure occurs at time xr
and hence the whole system fails. The mentioned system is called sequential r-out-of- n system or dynamic system and the system lifetime
is then r-th observed component failure time, denoted by X⋆
(r). In the literature, (X⋆
(1), ⋯, X⋆
(n)) is called SOSs. Statistical properties of SOSs
have been studied by Kamps [4,5], Cramer and Kamps [3,6], Balakrishnan et al. [7], Beutner and Kamps [8], Hashempour [9], Bedbur M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9 2 [10], Hashempour and Doostparast [11], and references therein. We considered the problem of estimating the parameters on the basis of
s (≥2) independent SOSs samples under a new proposed power trend conditional proportional hazard rates (PTCPHR) model, defined by
Fj(t) = 1 −(1 −F0(t))a j
for j = 1, ⋯, r and a > 0, where the underlying CDF F0(t) is assumed to be the exponential distribution, i.e., F0(x; 𝜎) = 1 −exp {−
( x
𝜎
)
} , x > 0, 𝜎> 0. (1) (1) In this case, the hazard rate function of the CDF Fj, defined by hj(t) = fj(t)/Fj(t) for t > 0 and j = 1, ⋯, n, is proportional to the hazard rate
function of the baseline DF F0, i.e., hj(t) = ajh0(t) for t > 0. In this case, the hazard rate function of the CDF Fj, defined by hj(t) = fj(t)/Fj(t) for t > 0 and j = 1, ⋯, n, is proportional to the hazard rate
function of the baseline DF F0, i.e., hj(t) = ajh0(t) for t > 0. In this paper, we consider the problem of comparing non-homogeneous exponential populations on the basis of independent multiply SOS
samples coming from non-homogeneous exponential populations under the abovementioned PTCPHR model. Thus, this paper is organized
as follows: In Section 2, via the likelihood approach, statistical procedures including estimation, either point or interval, of the parameters
as well as the problem of testing homogeneity of baseline exponential populations are considered. In Section 3, Bayesian approach is used
for estimating parameters of interest. Finally, concluding remarks are given in Section 4. 2. LIKELIHOOD ANALYSIS (8) (8) One may maximize the function (8) with respect to the parameter a numerically to derive the ML estimate of the parameter a. Then
substituting this estimate into (29) (the appendix), the ML estimate of
̂𝜎j, for i = 1, ⋯, s, is derived. One may maximize the function (8) with respect to the parameter a numerically to derive the ML estimate of the parameter a. Then
substituting this estimate into (29) (the appendix), the ML estimate of
̂𝜎j, for i = 1, ⋯, s, is derived. Consider again the hypotheses testing problem (6). It is easy to verify that the unique ML estimates of the parameters under the null
hypothesis H0 are given by ̂̂𝜎0 = 1
rs
s
∑
i=1
r
∑
j=1
xij ̂m0,j =
̂a0
rs
s
∑
i=1
r
∑
j=1
(n −j + 1) jDij,
(9) (9) and and and
̂a0 =
rs
∑s
i=1 ∑r
j=1(n −j + 1) jDij
̂̂𝜎0,
(10) ̂a0 =
rs
∑s
i=1 ∑r
j=1(n −j + 1) jDij
̂̂𝜎0,
(10) ̂a0 =
rs
∑s
i=1 ∑r
j=1(n −j + 1) jDij
̂̂𝜎0, (10) where
̂m0,j = (n −j + 1) j ̂a0 −(n −j)( j + 1) ̂a0, with convention ̂a0(r + 1) ≡0. Therefore, the generalized likelihood ratio test (GLRT)
statistic for the hypotheses testing problem (6) is where
̂m0,j = (n −j + 1) j ̂a0 −(n −j)( j + 1) ̂a0, with convention ̂a0(r + 1) ≡0. Therefore, the generalized likelihood ratio test (GLRT)
statistic for the hypotheses testing problem (6) is Λ2 =
r
∏
j=1
( ̂a0
̂a
)rs
s
∏
i=1
( ̂̂𝜎i
̂̂𝜎0
)r
exp {
s
∑
i=1
r
∑
j=1
( ̂mj
̂̂𝜎i
−
̂m0,j
̂̂𝜎0
)
xij} ,
(11) (11) e
̂mj = (n −j + 1) ̂𝛼j −(n −j) ̂𝛼j+1. The logarithm of the GLRT statistic Λ2 in Equation (11) reads where
̂mj = (n −j + 1) ̂𝛼j −(n −j) ̂𝛼j+1. The logarithm of the GLRT statistic Λ2 in Equation (11) reads re
̂mj = (n −j + 1) ̂𝛼j −(n −j) ̂𝛼j+1. The logarithm of the GLRT statistic Λ2 in Equation (11) reads j) ̂𝛼j+1. 2. LIKELIHOOD ANALYSIS After some algebraic calculations, the Hessian matrix sim H =
(
B11 B12
B21 B22
)
, H =
(
B11 B12
B21 B22
)
,
(7) (7) where where B11 = diag { r
𝜎2
i
−
2 ∑r
k=1 ak(n −k + 1)Dij
𝜎3
i
}
i=1,⋯,s
,
B22 = diag {−sr
a2j }
j=1,⋯,r
,
B12 = BT
21 = [[
(n −j + 1)Dij
𝜎2
i
]]
i=1,⋯,s,j=1,⋯,r
, B11 = diag { r
𝜎2
i
−
2 ∑r
k=1 ak(n −k + 1)Dij
𝜎3
i
}
i=1,⋯,s
,
B22 = diag {−sr
a2j }
j=1,⋯,r
,
B12 = BT
21 = [[
(n −j + 1)Dij
𝜎2
i
]]
i=1,⋯,s,j=1,⋯,r
, where diag {ci}i=1,⋯,m stands for a diagonal matrix with elements c1, ⋯, cm on its main diagonal where diag {ci}i=1,⋯,m stands for a diagonal matrix with elements c1, ⋯, cm on its main diagonal. The Hessian matrix (7) is not necessary negative definite on the parameter space. Therefore, one needs to use numerically methods for
maximizing the LF (5) with respect to a and 𝜎1, ⋯, 𝜎s. Note that the ML estimates of the parameters (if exist) are obtained numerically by
solving the following likelihood equations: ⎧⎪
⎨⎪
⎩
̂̂𝜎i = 1
r ∑r
j=1 xij ̂mj =
̂a
r ∑r
j=1(n −j + 1) jDij, i = 1, ⋯, s,
̂a = rs
(
∑s
i=1 ∑r
j=1(n −j + 1) jDij/ ̂̂𝜎i
)−1
. ⎧⎪
⎨
̂̂𝜎i = 1
r ∑r
j=1 xij ̂mj =
̂a
r ∑r
j=1(n −j + 1) jDij, i = 1, ⋯, s, ⎨⎪
⎩̂a = rs
(
∑s
i=1 ∑r
j=1(n −j + 1) jDij/ ̂̂𝜎i
)−1
. ⎨⎪
⎩̂a = rs
(
∑s
i=1 ∑r
j=1(n −j + 1) jDij/ ̂̂𝜎i
)− Here another approach for deriving the ML estimates of the parameters is suggested which is numerically simple. Recall that the profile LF
for the parameter a is derived by substituting
̂𝜎i given by (29), for i = 1, ⋯, s, into the LF (5) instead of 𝜎i, i.e., Lp(a; x) = L( ̂𝜎1, ⋯, ̂𝜎s, a; x). The logarithm of the profile LF is lp(a; x) = log Lp(a; x)
= sr(r + 1)
2
log(a) −r
s
∑
i=1
log
(∑r
j=1(n −j + 1)a jDij
r
)
−rs. 2. LIKELIHOOD ANALYSIS ) and mj = (n −j + 1)a j −(n −j)a j+1 with convention (n −r)ar+1 ≡0. For sake of brevity, we assumed that the
proportional parameter a are the same among the s sequential r-out-of- n systems. In this section, we consider the problem of homogeneity
testing on the basis of independent SOS samples from different exponential populations, i.e., ⎧
⎨
⎩
H0 ∶𝜎1 = ⋯= 𝜎s
H1 ∶𝜎i ≠𝜎j ∃i ≠j. ⎧
⎨
⎩
H0 ∶𝜎1 = ⋯= 𝜎s
H1 ∶𝜎i ≠𝜎j ∃i ≠j. (6) ⎧
⎨
⎩
H0 ∶𝜎1 = ⋯= 𝜎s
H1 ∶𝜎i ≠𝜎j ∃i ≠j. (6) ⎨
⎩H1 ∶𝜎i ≠𝜎j ∃i ≠j. In sequel, two cases are considered: (i) a known, and (ii) a unknown. If a is known, the results of Cramer and Kamps ([6], Chapters 4 and 5) can be used. Also, see Schenk [13]. A summarize for this case is
given in the appendix A. Pdf_Folio:2 M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9
3 M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9 M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9
3 3 Suppose that the parameter a in Equation (5) is unknown. In this case, calculations are complicated. Here, the Hessian matrix (H) is
defined by Suppose that the parameter a in Equation (5) is unknown. In this case, calculations are complicated. Here, the Hessian matrix (H) is
defined by H = [[(𝜕2 log(L)/𝜕𝜃i𝜕𝜃j)1≤i,j≤s+1]], H = [[(𝜕2 log(L)/𝜕𝜃i𝜕𝜃j)1≤i,j≤s+1]], H = [[(𝜕2 log(L)/𝜕𝜃i𝜕𝜃j)1≤i,j≤s+1]], H = [[(𝜕2 log(L)/𝜕𝜃i𝜕𝜃j)1≤i,j≤s+1]], H = [[(𝜕2 log(L)/𝜕𝜃i𝜕𝜃j)1≤i,j≤s+1]], where 𝜃i = 𝜎i(1 ≤i ≤s) and 𝜃s+1 = a. After some algebraic calculations, the Hessian matrix simplifies to 1 = a. After some algebraic calculations, the Hessian matrix simplifies to where 𝜃i = 𝜎i(1 ≤i ≤s) and 𝜃s+1 = a. After some algebraic calculations, the Hessian matrix simplifies to where 𝜃i = 𝜎i(1 ≤i ≤s) and 𝜃s+1 = a. 2. LIKELIHOOD ANALYSIS The logarithm of the GLRT statistic Λ2 in Equation (11) reads log Λ2 = rs log
( ̂a0
̂a
)
+ r
s
∑
i=1
log
( ̂̂𝜎i
̂̂𝜎0
)
+
s
∑
i=1
r
∑
j=1
( ̂mj
̂̂𝜎i
−
̂m0,j
̂̂𝜎0
)
xij. (12) (12) M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9 4 The null hypothesis H0 rejects if (13) −2 log Λ2 > c, −2 log Λ2 > c, where c is a positive constant and determined on the basis of the test level (Lehmann and Romano [14]). where c is a positive constant and determined on the basis of the test level (Lehmann and Romano [14]). where c is a positive constant and determined on the basis of the test level (Lehmann and Romano [14]). Exact distribution of the statistic −2 log Λ2 in Equation (13) under the null hypothesis H0 is complicated and we could not obtained an
explicit expression. This remains as an open problem. In practice, one may use numerical methods such as Monte Carlo simulation study
to derive the threshold c in the rejection region (13). 3. SOS-BASED BAYES ANALYSIS Bayesian statistical inference on the basis of homogeneous multiply SOS samples have been considered in literature. For example, Mohie
El-Din et al. [15] considered the problem of SOS-based Bayesian estimation and one-sample prediction under the CPHR model for Weibull
and Pareto distributions. Schenk et al. [16] derived Bayes estimates of the parameters under the CPHR model when the baseline population
follows the one- and two-parameter exponential distributions. Also, the Bayesian estimation and the two-sample Bayesian prediction based
on homogeneous multiply SOS samples was studied with more details by Shafay et al. [17]. See also Hashempour and Doostparast [11]. In this section, we consider the problems of estimation, either point or interval, of parameters and hypotheses testing (6) on the basis of
s independent heterogeneous SOS samples arising from the exponential populations under the PTCPHR model with known a. When the
parameter a is unknown, the mentioned problems are complicated and works in this direction are under investigation and we hope to report
findings in future. 3.1. Bayesian Point Estimates We here consider the problem of estimating unknown parameters via a strict Bayesian approach. To do this, we assume that a is known and
suggest the conjugate prior distributions for the scale parameters 𝜎i, i = 1, ⋯, s, i.e., 𝜎i ∼IG(di, ci), i = 1, ⋯, s,
(14) (14) 𝜎i ∼IG(di, ci), i = 1, ⋯, s, be independent random variables where IG(d, c) calls for the inverse gamma distribution with paramet be independent random variables where IG(d, c) calls for the inverse gamma distribution with parameters d and c and density function e IG(d, c) calls for the inverse gamma distribution with parameters d and c and density function be independent random variables where IG(d, c) calls for the inverse gamma distribution with parameters d and c and density function 𝜋(𝜎) =
cd
Γ(d)𝜎−(d+1) exp {−
( c
𝜎
)
} , 𝜎> 0, d > 0, c > 0. (15) (15) From Equation (14) and the LF (5), the joint posterior density function of 𝜎1, … , 𝜎s is readily obtained as From Equation (14) and the LF (5), the joint posterior density function of 𝜎1, … , 𝜎s is readily obtained as 𝜋(𝜎1, … , 𝜎s ∣x) ≡
s
∏
i=1
(
Bsa
r(r+1)
2
c
di
i
Γ(di)𝜎
−(di+r)−1
i
)
×
s
∏
i=1
(
exp {−
(∑r
j=1(n −j + 1)ajDij + ci
𝜎i
)
}
)
,
(16) (16) which implies 𝜎i ∣x ∼IG
(
di + r,
r
∑
j=1
(n −j + 1)ajDij + ci
)
, i = 1, ⋯, s. (17) (17) As we expected given x, the parameter 𝜎i are independent. Under the squared error loss function, the Bayes estimate of the parameter is the
mean of the associate posterior distribution. Here, the Bayes estimate of 𝜎i is As we expected given x, the parameter 𝜎i are independent. Under the squared error loss function, the Bayes estimate of the parameter is the
mean of the associate posterior distribution. Here, the Bayes estimate of 𝜎i is ̂𝜎i,B =
∑r
j=1(n −j + 1)ajDij + ci
di + r −1
=
r ̂𝜎i + ci
di + r −1,
i = 1, ⋯, s,
(18) (18) where
̂𝜎i is the ML estimate of 𝜎i given by Equation (29). Since the SOS samples are independent, the Bayes estimates in Equation (18)
depend only on the respective samples. 3.2. Bayesian Test Under the null hypothesis H0 ∶𝜎1 = ⋯= 𝜎s, we assume that the common value of 𝜎i (i = 1, ⋯, s), say 𝜎, follows the IG(d0, c0)-distribution
where d0 and c0 are known positive hyper parameters. Therefore, the Bayes factor (BF) is derived as (Berger [18]) Under the null hypothesis H0 ∶𝜎1 = ⋯= 𝜎s, we assume that the common value of 𝜎i (i = 1, ⋯, s), say 𝜎, follows the IG(d0, c0)-distribution
where d0 and c0 are known positive hyper parameters. Therefore, the Bayes factor (BF) is derived as (Berger [18]) BF =
c
a0
0 Γ(sr + d0)
Γ(d0)
(
s
∏
i=1
(Ti + ci)di+1
dic
di
i
) ( s
∑
i=1
Ti + c0
)−(sr+d0)
. (21) (21) Proof. Under the null hypothesis H0 in (6), the LF (5) reduces to L(𝜍; x) =
(
n! (n −r)! )s (
r
∏
j=1
aj
)s
𝜍−sr exp {−1
𝜍
s
∑
i=1
r
∑
j=1
xijmj} , and and 𝜋(x ∣H0) =
(
n! (n −r)! )s (
r
∏
j=1
aj
)s
∫
∞
0
𝜍−sr exp {−
(E + c0
𝜍
)
}
c
d0
0
Γ(d0)𝜍−(d0+1)d𝜍
=
(
n! (n −r)! )s (
r
∏
j=1
aj
)s
c
d0
0
Γ(d0) ∫
∞
0
exp {−
(E + c0
𝜍
)
} 𝜍−(sr+d0+1)d𝜍 where E = ∑s
i=1 ∑r
j=1 xijmj. If we use change of variable x = 1/𝜍, then where E = ∑s
i=1 ∑r
j=1 xijmj. If we use change of variable x = 1/𝜍, then where E = ∑s
i=1 ∑r
j=1 xijmj. If we use change of variable x = 1/𝜍, then where E = ∑s
i=1 ∑r
j=1 xijmj. If we use change of variable x = 1/𝜍, then 𝜋(x ∣H0) =
(
n! (n −r)! )s (
r
∏
j=1
aj
)s
c
d0
0
Γ(d0) ∫
∞
0
xsr+d0−1 exp {−(E + c0)x} dx
=
(
n! (n −r)! )s (
r
∏
j=1
aj
)s
c
d0
0
Γ(d0)
Γ(sr + d0)
(E + c0)sr+d0 . (22) Under the alternative hypothesis H1 in (6), we have Under the alternative hypothesis H1 in (6), we have Under the alternative hypothesis H1 in (6), we have Under the alternative hypothesis H1 in (6), we have L(𝜍1, ..., 𝜍s; x) =
(
n! (n −r)! 3.1. Bayesian Point Estimates •
For r = n and a = 1,
̂𝜎i,n = ∑n
j=1 xij/n and
̂𝜎i,B =
(
∑n
j=1 xij + ci
)
/(di + n −1), which are, respectively, the well-known ML and the
Bayes estimates of the exponential parameters on the basis of a random sample of size n. 3.1. Bayesian Point Estimates (19) (19) •
The Bayes estimates (18) is a weighted mean of the mean of the prior (14) and the ML estimate (29); i.e.,
̂𝜎i,B = E (𝜎i) wi + (1 −wi) ̂𝜎i,
where wi = (di −1) / (di + r −1); •
The Bayes estimates (18) is a weighted mean of the mean of the prior (14) and the ML estimate (29); i.e.,
̂𝜎i,B = E (𝜎i) wi + (1 −wi) ̂𝜎i,
where wi = (di −1) / (di + r −1); •
The Bayes estimate (18) is biased, i.e., Bias( ̂𝜎i,B) = (𝜎i(di −1) −ci) / (di + r −1); •
The Bayes estimate (18) is biased, i.e., Bias( ̂𝜎i,B) = (𝜎i(di −1) −ci) / (di + r −1); •
The Bayes estimate (18) is biased, i.e., Bias( ̂𝜎i,B) = (𝜎i(di −1) −ci) / (di + r −1); •
The risk function of the Bayes estimates (18) is R( ̂𝜎i,B, 𝜎i) =
𝜎2
i
(
r + (1 −di)2)
+ 2ci(1 −di)𝜎i + c2
i
(di + r −1)2
;
(20) (20) The minimum of R( ̂𝜎i,B, 𝜎i), as a function of 𝜎i, occurs at point bi(di −1)/[(1 −di)2 + r]; •
The minimum of R( ̂𝜎i,B, 𝜎i), as a function of 𝜎i, occurs at point bi(di −1)/[(1 −di)2 + r]; •
The minimum of R( ̂𝜎i,B, 𝜎i), as a function of 𝜎i, occurs at point bi(di −1)/[(1 −di)2 + r]; •
The minimum of R( ̂𝜎i,B, 𝜎i), as a function of 𝜎i, occurs at point bi(di −1)/[(1 −di)2 + r]; •
For r = n and a = 1,
̂𝜎i,n = ∑n
j=1 xij/n and
̂𝜎i,B =
(
∑n
j=1 xij + ci
)
/(di + n −1), which are, respectively, the well-known ML and the
Bayes estimates of the exponential parameters on the basis of a random sample of size n. For r = n and a = 1,
̂𝜎i,n = ∑n
j=1 xij/n and
̂𝜎i,B =
(
∑n
j=1 xij + ci
)
/(di + n −1), which are, respectively,
Bayes estimates of the exponential parameters on the basis of a random sample of size n. 3.1. Bayesian Point Estimates Pdf_Folio:4 where
̂𝜎i is the ML estimate of 𝜎i given by Equation (29). Since the SOS samples are independent, the Bayes estimates in Equation (18)
depend only on the respective samples. Pdf_Folio:4 M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9
5 5 Remark 3.1. For i = 1, ⋯, s: Remark 3.1. For i = 1, ⋯, s: Remark 3.1. For i = 1, ⋯, s: •
The mode of the posterior distribution (17) is •
The mode of the posterior distribution (17) is •
The mode of the posterior distribution (17) is ̂̂𝜎i,B =
∑r
j=1(n −j + 1)ajDij + ci
di + r + 1
=
r ̂𝜎i + ci
di + r + 1. (19) ̂̂𝜎i,B =
∑r
j=1(n −j + 1)ajDij + ci
di + r + 1
=
r ̂𝜎i + ci
di + r + 1. 3.2. Bayesian Test (23) From Equations (22) and (23), the Bayes factor is derived as From Equations (22) and (23), the Bayes factor is derived as From Equations (22) and (23), the Bayes factor is derived as BF =
c
a0
0 Γ(sr + d0)
Γ(d0)
⎛
⎜
⎜⎝
s
∏
i=1
(Ti + ci)di+1
dic
di
i
⎞
⎟
⎟⎠
( s
∑
i=1
Ti + c0
)−(sr+d □ Under the “0 −Ki” loss function (Berger [18]), the Bayes test rejects the null hypothesis H0 in (6) if Under the “0 −Ki” loss function (Berger [18]), the Bayes test rejects the null hypothesis H0 in (6) if Under the “0 −Ki” loss function (Berger [18]), the Bayes test rejects the null hypothesis H0 in (6) if BF <
(K0
k1
) (𝜋1
𝜋0
)
, BF <
(K0
k1
) (𝜋1
𝜋0
)
, BF <
(K0
k1
) (𝜋1
𝜋0
)
, where 𝜋i and Ki, for i = 1, 2, are prior probability for the hypothesis Hi and the loss of the accepting Hi when Hj(j ≠i) is correct, respectively. where 𝜋i and Ki, for i = 1, 2, are prior probability for the hypothesis Hi and the loss of the accepting Hi when Hj(j ≠i) is correct, respectively. 3.2. Bayesian Test )s (
r
∏
j=1
𝛼j
)s
s
∏
i=1
{ 1
𝜍i
exp {−
r
∑
j=1
xijmj
𝜍i
}}
=
(
n! (n −r)! )s (
r
∏
j=1
aj
)s
s
∏
i=1
{ 1
𝜍i
exp {−Ti
𝜍i
}} , 6
M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9 M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9 6 where Ti = ∑r
j=1 xijmj, and Let ui = 1/𝜍i, then Let ui = 1/𝜍i, then 𝜋(x ∣H1) =
(
n! (n −r)! )s (
r
∏
j=1
aj
)s ⎛
⎜
⎜⎝
s
∏
i=1
c
di
i
Γ(di)
⎞
⎟
⎟⎠
s
∏
i=1
× ∫
∞
0
⋯∫
∞
0
u
di+1−1
i
exp {−(Ti + ci)} du1 ⋯dus
=
(
n! (n −r)! )s (
r
∏
j=1
aj
)s ⎛
⎜
⎜⎝
s
∏
i=1
c
di
i
Γ(di)
⎞
⎟
⎟⎠
s
∏
i=1
( Γ(di + 1)
(Ti + ci)di+1
)
=
(
n! (n −r)! )s (
r
∏
j=1
aj
)s
s
∏
i=1
(
dic
ai
i
(Ti + ci)adi+1
)
. 𝜋(x ∣H1) =
(
n! (n −r)! )s (
r
∏
j=1
aj
)s ⎛
⎜
⎜⎝
s
∏
i=1
c
di
i
Γ(di)
⎞
⎟
⎟⎠
s
∏
i=1
× ∫
∞
0
⋯∫
∞
0
u
di+1−1
i
exp {−(Ti + ci)} du1 ⋯dus
=
(
n! (n −r)! )s (
r
∏
j=1
aj
)s ⎛
⎜
⎜⎝
s
∏
i=1
c
di
i
Γ(di)
⎞
⎟
⎟⎠
s
∏
i=1
( Γ(di + 1)
(Ti + ci)di+1
)
=
(
n! (n −r)! )s (
r
∏
j=1
aj
)s
s
∏
i=1
(
dic
ai
i
(Ti + ci)adi+1
)
. 3.3. HPD Credible Sets nding highest posterior density (HPD) credible set is considered. To do this, from Equation (16), we see tha nding highest posterior density (HPD) credible set is considered. To do this, from Equation (16), we see tha n this section, the problem of finding highest posterior density (HPD) credible set is considered. To do this Ri = 2
(∑r
j=1(n −j + 1)ajDij + ci
𝜎i
)
||x ∼𝜒2
2(di+r) . (24) Ri = 2
(∑r
j=1(n −j + 1)ajDij + ci
𝜎i
)
||x ∼𝜒2
2(di+r) . (24) (24) equi-tailed credible set at level 𝛾for 𝜎i (i = 1, ⋯, s) is obtained as Therefore, an equi-tailed credible set at level 𝛾for 𝜎i (i = 1, ⋯, s) is obtained as Therefore, an equi-tailed credible set at level 𝛾for 𝜎i (i = 1, ⋯, s) is obtained as Ci(𝛾) =
(∑r
j=1(n −j + 1)ajDij + ci
𝜒2
2(di+r),(1+𝛾)/2
,
∑r
j=1(n −j + 1)ajDij + ci
𝜒2
2(di+r),(1−𝛾)/2
)
. (25) (25) The HPD credible set for 𝜎i (i = 1, ⋯, s) is {𝜎i ∶𝜎
−(di+r)−1
i
exp {−
∑r
j=1(n −j + 1)ajDij + ci
𝜎i
} > k} ,
(26) {𝜎i ∶𝜎
−(di+r)−1
i
exp {−
∑r
j=1(n −j + 1)ajDij + ci
𝜎i
} > k} ,
(26) (26) M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9
7 M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9
7 7 where k is a constant determined by the condition on the level of the credible set, i.e., determined by the condition on the level of the credible set, i.e., where k is a constant determined by the condition on the level of the credible set, i.e., P
(
𝜎
−(di+r)−1
i
exp {−
(∑r
j=1(n −j + 1)ajDij + ci
𝜎i
)
} > k ∣x
)
= 𝛾. 3.3. HPD Credible Sets (27) Hence, the HPD credible set for 𝜎i (i = 1, ⋯, s) in Equation (26) is an interval, say (Li, Ui), where Li and Ui are derived from the following
non-linear equations: Hence, the HPD credible set for 𝜎i (i = 1, ⋯, s) in Equation (26) is an interval, say (Li, Ui), where Li and Ui are derived from the following
non-linear equations: ⎧
⎪⎪
⎨
⎪⎪
⎩
(Ui
Li
)di+r+1
= exp {
(Ui −Li
UiLi
)
Ψi(x, a)}
F𝜒2
2(di+r)
(2Ψi(x, a)
Ui
)
−F𝜒2
2(di+r)
(2Ψi(x, a)
Li
)
= 𝛾i
(
Γ(di)
Γ(di + r)c
−di
i
a
r(r+1)
2
(4Ψi(x, a))di+r
) ⎨
⎪⎪
⎩
F𝜒2
2(di+r)
(2Ψi(x, a)
Ui
)
−F𝜒2
2(di+r)
(2Ψi(x, a)
Li
)
= 𝛾i
(
Γ(di)
Γ(di + r)c
−di
i
a
r(r+1)
2
(4Ψi(x, a))di+r
) where Ψi(x, a) = ∑r
j=1(n −j + 1)ajDij + ci, and F𝜒𝜈(t) stands for the CDF of the 𝜒𝜈-distribution. For the proof see Appendix B. In practice,
one may use numerical methods for solving the above equations. 4. CONCLUSIONS In this paper, based on independent SOSs coming from non-homogeneous exponential populations, the ML and the Bayes estimates of
parameters were obtained on the basis of multiple SOS samples. The GLRT and Bayesian test were also derived for testing homogeneity of
the exponential baseline populations. In Bayesian inference, when the parameter a is unknown, the mentioned problems are complicated
and works in this direction are under investigation and we hope to report findings in future. The results of this paper may be extended in
some directions. For example, the Bayes estimates may by obtained under some asymmetric loss functions such as linear-exponential loss
function. REFERENCES 1. R.E. Barlow, F. Proschan, Statistical Theory of Reliability and Life Testing: Probability Models, second ed., Springer, New York, USA, 1981. 2. H.A. David, H.N. Nagaraja, Order Statistics, John Wiley & Sons, Inc., Hoboken, New Jersey, USA, 2003. h
(
) 1. R.E. Barlow, F. Proschan, Statistical Theory of Reliability and Life Testing: Probability Models, second ed., Springer, New York, USA, 1981. 2. H.A. David, H.N. Nagaraja, Order Statistics, John Wiley & Sons, Inc., Hoboken, New Jersey, USA, 2003. H.A. David, H.N. Nagaraja, Order Statistics, John Wiley & 3. E. Cramer, U. Kamps, Ann. Inst. Stat. Math. 48 (1996), 535–549. 4. U. Kamps, A Concept of Generalized Order Statistics, Teubner, Wiesbaden, Germany, 1995. 5. U. Kamps, J. Stat. Plan. Inference. 48 (1995), 1–23. 5. U. Kamps, J. Stat. Plan. Inference. 48 (1995), 1–23. 6. E. Cramer, U. Kamps, Ann. Inst. Stat. Math. 53 (2001), 307–324. 7. N. Balakrishnan, U. Kamps, M. Kateri, Ann. Inst. Stat. Math. 64 (2012), 302–318. 7. N. Balakrishnan, U. Kamps, M. Kateri, Ann. Inst. Stat. Math. 64 (2012), 302–318. 8. E. Beutner, U. Kamps, J. Stat. Plan. Inference. 139 (2009), 2963–2969. p
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9. M. Hashempour, Classical, Bayesian and Evidential Inferences Based on Sequential Order Statistics, PhD Thesis in Mathematical Statistics,
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9. M. Hashempour, Classical, Bayesian and Evidential Inferences Based on Sequential Order Statistics, PhD Thesis in Mathe ayesian and Evidential Inferences Based on Sequential Order Statistics, PhD Thesis in Mathematical Statistics
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Department of Statistics, Ferdowsi University of Mashhad, Mashhad, Iran, 2017. p
y
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Department of Statistics, Ferdowsi University of Mashhad, Mashhad, Iran, 2017. 10. S. Bedbur, J. Stat. Plan. Inference. 140 (2010), 2520–2530. 11. M. Hashempour, M. Doostparast, Commun. Stat. Theor. Methods. 46 (2016), 8086–8100. 12. E. Cramer, U. Kamps, in: N. Balakrishnan, E. Rao (Eds.), Handbook of Statistics, Advances in Reliability, Elsevier, New York, USA, vol. 20, chap. 12, 2001, pp. 301–372. 12. E. Cramer, U. Kamps, in: N. Balakrishnan, E. Rao (Eds.), Handbook of Statistics, Advances in Reliability, Elsevier, New York, USA, vol. 20, chap. 12, 2001, pp. 301–372. 12. E. Cramer, U. Kamps, in: N. Balakrishnan, E. REFERENCES Rao (Eds.), Handbook of Statistics, Advances in Reliabili
12, 2001, pp. 301–372. pp
13. N. Schenk, Point Estimation with Sequential Order Statistics Based on Exponential Distributions, PhD Thesis, University of Oldenburg, Old-
enburg, Germany, 2001. 13. N. Schenk, Point Estimation with Sequential Order Statistics Based on Exponential Distributions, PhD Thesis, University of Oldenburg, Old-
enburg, Germany, 2001. 15. M.M. Mohie El-Din, M.M. Amein, M.S. Moham, J. Adv. Res. Appl. Math. 5 (2013), 80–96. 15. M.M. Mohie El-Din, M.M. Amein, M.S. Moham, J. Adv. Res. Appl. Math. 5 (2013), 80–96. 16. N. Schenk, M. Burkschat, E. Cramer, U. Kamps, J. Stat. Plan. Inference. 141 (2011), 1575–1587. 17. A.R. Shafay, N. Balakrishnan, K.S. Sultan, J. Stat. Comput. Simul. 84 (2014), 526–544. 8. J. Berger, Statistical Decision Theory and Baysian Analysis, second ed., Springer, New York, USA, 1985. 19. E.L. Lehmann, G. Casella, Theory of Point Estimation, second ed., Springer, New York, USA, 1998. M. Hashempour and M. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9 8 APPENDIX A. Suppose that the parameter a in Equation (5) is known. Under the null hypothesis H0 in (6) (Cramer and Kamps [12]), the unique ML
estimate of the common mean of the s exponential populations, say 𝜎0, is ̂𝜎0 = 1
rs
s
∑
i=1
r
∑
j=1
(n −j + 1)ajDij = 1
rs
s
∑
i=1
r
∑
j=1
xijmj,
(28) (28) where Dij = xij −xi,j−1, for j = 1, ⋯, r. Here xi0 ∶= 0 for i = 1, ⋯, s. When the baseline exponential populations are heterogeneous, from
Equation (28), the unique ML estimate of 𝜎i (i = 1, ⋯, s) is derived as ̂𝜎i = 1
r
r
∑
j=1
(n −j + 1)ajDij = 1
r
r
∑
j=1
xijmj. (29) ̂𝜎i = 1
r
r
∑
j=1
(n −j + 1)ajDij = 1
r
r
∑
j=1
xijmj. (29) (29) Corollary 1. Under the PTCPHR with the one-parameter exponential baseline CDF, Corollary 1. Under the PTCPHR with the one-parameter exponential baseline CDF, Corollary 1. Under the PTCPHR with the one-parameter exponential baseline CDF, Corollary 1. Under the PTCPHR with the one-parameter exponential baseline CDF, Ti =
r
∑
j=1
(n −j + 1)ajDij ∼Γ(r, 𝜎i), i = 1, ⋯, s,
(30) (30) where Γ(a, b) calls for the gamma distribution with shape and scale parameters a and b, respectively. Notice that ∑r
j=1 xijmj = ∑r
j=1(n −j + 1)
ajDij, for i = 1, ⋯, s. Now consider the problem of hypotheses testing (6). The generalized likelihood ratio test (GLRT) statistic for testing the problem (6) is Now consider the problem of hypotheses testing (6). The generalized likelihood ratio test (GLRT) stati Λ1 =
s
∏
i=1
( ̂𝜎i
̂𝜎0
)r
exp {
s
∑
i=1
r
∑
j=1
( 1
̂𝜎i
−1
̂𝜎0
)
mjxij} ,
(31) (31) where Ω = {(𝜎1, ⋯, 𝜎s) ∶𝜎i > 0, i = 1, ⋯, s} =∶ℝ+s is the whole parameter space and Ω0 = {(𝜎1, … , 𝜎s) ∶𝜎1 = ⋯= 𝜎s} denotes
the parameter space under the null hypothesis H0. After some algebraic manipulations, the logarithm of the GLRT statistic Λ1 given by
Equation (31) reduces to log Λ1 = r
s
∑
i=1
log
(
sTi
∑s
j=1 Tj
)
,
(32) (32) where Ti is defined by Equation (30) and ”log” stands for the natural logarithm. APPENDIX A. Under the null hypothesis H0 in (6) and the usual regularity
conditions (see Lehmann and Cassella [19]), −2 log Λ1 has asymptotically the chi-square distribution with 1 degree of freedom. Thus, for
large n, the rejection region of the GLR test of size 𝛾is where Ti is defined by Equation (30) and ”log” stands for the natural logarithm. Under the null hypothesis H0 in (6) and the usual regularity
conditions (see Lehmann and Cassella [19]), −2 log Λ1 has asymptotically the chi-square distribution with 1 degree of freedom. Thus, for
large n, the rejection region of the GLR test of size 𝛾is −2 log Λ1 > 𝜒2
1,1−𝛾,
(33) (33) where 𝜒2
𝜐,𝛾is the 𝛾-th percentile of the chi-square distribution with 𝜐degrees of freedom. Also, the actual level of the GLRT may be obtained
by conducting a Monte Carlo simulation study for given a and 𝜎. where 𝜒2
𝜐,𝛾is the 𝛾-th percentile of the chi-square distribution with 𝜐degrees of freedom. Also, the actual level of the GLRT may be obtained
by conducting a Monte Carlo simulation study for given a and 𝜎. The observed Fisher Information, denoted by i( ̂𝜎1, ⋯, ̂𝜎s), on the basis of available SOSs data is equal to minus of the Hessian matrix
evaluated at the MLEs of the parameters, i.e., i( ̂𝜎1, ⋯, ̂𝜎s) = [[(−𝜕2 log(L)/𝜕𝜎i𝜕𝜎j)1≤i,j≤s]]|𝜍1= ̂𝜍1,⋯,𝜍s= ̂𝜍s. It is well known that the unique MLEs have asymptotically the multivariate normal distribution with mean vector (𝜎1, ⋯, 𝜎s) and the
variance–covariance matrix [i( ̂𝜎1, ⋯, ̂𝜎s)]−1. Here, the observed Fisher Information for 𝜎i is derived as It is well known that the unique MLEs have asymptotically the multivariate normal distribution with mean vector (𝜎1, ⋯, 𝜎s) and the
variance–covariance matrix [i( ̂𝜎1, ⋯, ̂𝜎s)]−1. Here, the observed Fisher Information for 𝜎i is derived as i( ̂𝜎1, ⋯, ̂𝜎s) = diag [[ r
ˆ𝜎ij
]] . Notice that, by Equation (30), one can see that 2r ( ̂𝜎i/𝜎i) ∼𝜒2
2r. Hence, an approximate equi-tailed confidence interval for 𝜎i is Notice that, by Equation (30), one can see that 2r ( ̂𝜎i/𝜎i) ∼𝜒2
2r. Hence, an approximate equi-tailed confidence interval for 𝜎i is (
̂𝜎i −z𝛾/2√
̂𝜎2
i
r , ̂𝜎i + z𝛾/2√
̂𝜎2
i
r
)
,
(34) (
̂𝜎i −z𝛾/2√
̂𝜎2
i
r , ̂𝜎i + z𝛾/2√
̂𝜎2
i
r
)
,
(34) (34) M. Hashempour and M. APPENDIX A. Doostparast / Journal of Statistical Theory and Applications 19(1) 1–9 9 where z𝛾stands for the 𝛾-percentile of the standard normal distribution. Therefore, an equal-tail exact confidence interval at level 100𝛾%
for 𝜎i (i = 1, ⋯, s) is (
2r ̂𝜎i
𝜒2
2r,(1+𝛾)/2
,
2r ̂𝜎i
𝜒2
2r,(1−𝛾)/2
)
, (
2r ̂𝜎i
𝜒2
2r,(1+𝛾)/2
,
2r ̂𝜎i
𝜒2
2r,(1−𝛾)/2
)
,
(35) (
2r ̂𝜎i
𝜒2
2r,(1+𝛾)/2
,
2r ̂𝜎i
𝜒2
2r,(1−𝛾)/2
)
,
(35) (35) where 𝜒2
𝜈,p calls for the p-th percentile of the 𝜒2
𝜈-distribution. th percentile of the 𝜒2
𝜈-distribution. where 𝜒2
𝜈,p calls for the p-th percentile of the 𝜒2
𝜈-distribution. APPENDIX B. By definition, we have ∫
Ui
Li
r
∏
j=1
aj c
di
i
Γ(di)𝜎
−(di+r)−1
i
exp {−
(∑r
j=1 xijmj + ci
𝜎i
)
} d𝜎i = 𝛾i. Let ti = 2Ψ(x, a)/𝜎i, then 𝛾i = ∫
2Ψ(x,a)
Li
2Ψ(x,a)
Ui
r
∏
j=1
aj c
di
i
Γ(di)
(2Ψ(x, a)
ti
)−(di+r)−1
exp {−ti
2 }
(
−2Ψ(x, a)
t2
i
)
dti
=
r
∏
j=1
aj c
di
i
Γ(di) ∫
2Ψ(x,a)
Li
2Ψ(x,a)
Ui
(2Ψ(x, a))−(di+r)−1 (ti)di+r+1 exp {−ti
2 }
(
−2Ψ(x, a)
t2
i
)
dti
= −a
r(r+1)
2
c
di
i
Γ(di)(2Ψ(x, a))−(di+r)
∫
2Ψ(x,a)
Li
2Ψ(x,a)
Ui
t
(di+r)−1
i
exp {−ti
2 } dti
= −a
r(r+1)
2
Γ(di + r)
Γ(di)
d
ci
i
(
2
Ψ(x, a)
)(di+r)
∫
2
Ψ(x,a)
Li
2
Ψ(x,a)
Ui
t
(di+r)−1
i
Γ(di + r)2di+r exp {−ti
2 } dti
= −Γ(di + r)
Γ(di)
c
di
i
(
2
Ψ(x, a)
)(di+r)
a
r(r+1)
2
(
F𝜒2(r+di)
(2Ψ(x, a)
Li
)
−F𝜒2(r+di)
(2Ψ(x, a)
Ui
) After some algebraic calculations, 𝛾i is simplified to After some algebraic calculations, 𝛾i is simplified to After some algebraic calculations, 𝛾i is simplified to After some algebraic calculations, 𝛾i is simplified to a
r(r+1)
2
(Γ(di + r)
Γ(di)
c
di
i (4Ψi(x, a))di+r
) (
F𝜒2
2(di+r)
(2Ψ(x, a)
Ui
)
−F𝜒2
2(di+r)
(2Ψ(x, a)
Li
))
= 𝛾i, and then F𝜒2
2(di+r)
(2Ψi(x, a)
Ui
)
−F𝜒2
2(di+r)
(2Ψi(x, a)
Li
)
= 𝛾i
(
Γ(di)
Γ(di + r)c
−di
i
a
r(r+1)
2
(4Ψi(x, a))di+r
)
. Since 𝜋(Li ∣x) = 𝜋(Ui ∣x), then
L
−(di+r)−1
i
exp {−
(Ψi(x, a)
L
)
} = U
−(di+r)−1
i Since 𝜋(Li ∣x) = 𝜋(Ui ∣x), then Since 𝜋(Li ∣x) = 𝜋(Ui ∣x), then L
−(di+r)−1
i
exp {−
(Ψi(x, a)
Li
)
} = U
−(di+r)−1
i
exp {−
(Ψi(x, a)
Ui
)
} and
(Ui
Li
)di+r+1
= exp {Ψi(x, a)
Li
−Ψi(x, a)
Ui
}
= exp {Ui −Li
UiLi
(Ψi(x, a)) .} . ⎧⎪
⎨⎪
⎩
(Ui
Li
)di+r+1
= exp {
(Ui −Li
UiLi
)
Ψi(x, a)}
F𝜒2
2(di+r)
(2Ψi(x, a)
Ui
)
−F𝜒2
2(di+r)
(2Ψi(x, a)
Li
)
= 𝛾i
(
Γ(di)
Γ(di + r)c
−di
i
a
r(r+1)
2
(4Ψi(x, a))di+r
)
.
|
https://openalex.org/W4394726980
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https://egusphere.copernicus.org/preprints/2024/egusphere-2024-208/egusphere-2024-208.pdf
|
English
| null |
Comment on egusphere-2024-208
| null | 2,024
|
cc-by
| 19,550
|
The cryostratigraphy of thermo-erosion gullies in the Canadian High
Arctic demonstrates the resilience of permafrost
Samuel Gagnon1,3, Daniel Fortier2,3, Étienne Godin3, Audrey Veillette2
1Département de Géographie, Université Laval, Québec, QC, G1V 0A6, Canada
2Département de Géographie, Université de Montréal, Montréal, QC, H2V 2B8, Canada
5
3Centre d’études nordiques, Université Laval, Québec, QC, G1V 0A6, Canada
Correspondence to: Samuel Gagnon (samuel gagnon 1@gmail com) We concluded that although the formation of a TEG has profound effects on the short/medium term and leaves near
20
permanent geomorphological and hydrological scars in periglacial landscapes, on the long term, High Arctic permafrost can
recover and return to geocryological conditions similar to those pre-dating the initial disturbance. This suggests that in stable
environmental conditions undergoing natural variability, permafrost can persist longer than the geomorphological landforms
in which it forms. The cryostratigraphy of thermo-erosion gullies in the Canadian High
Arctic demonstrates the resilience of permafrost
Samuel Gagnon1,3, Daniel Fortier2,3, Étienne Godin3, Audrey Veillette2
1Département de Géographie, Université Laval, Québec, QC, G1V 0A6, Canada
2Département de Géographie, Université de Montréal, Montréal, QC, H2V 2B8, Canada
5
3Centre d’études nordiques, Université Laval, Québec, QC, G1V 0A6, Canada
Correspondence to: Samuel Gagnon (samuel gagnon 1@gmail com) Abstract. Thermo-erosion gullies (TEGs) are one of the most common forms of abrupt permafrost degradation. They
generally form in ice-wedge polygonal networks where the interconnected troughs can channel runoff water. Although TEG generally form in ice-wedge polygonal networks where the interconnected troughs can channel runoff water. Although TEG
can form within a single thawing season, it takes them several decades for their complete stabilization. While the inception
10
of TEGs has been examined in several studies, the processes of their stabilization remain poorly documented, especially the
ground ice patterns that form following permafrost aggradation in stabilizing TEGs. For this study, we investigated the
impacts of two TEGs in the Canadian High Arctic (Bylot Island, NU, Canada) on ground ice content, cryostratigraphic
patterns, and geomorphology to examine permafrost recovery following thermal erosion in ice-wedge polygonal tundra. We can form within a single thawing season, it takes them several decades for their complete stabilization. While the inception
10
of TEGs has been examined in several studies, the processes of their stabilization remain poorly documented, especially the
ground ice patterns that form following permafrost aggradation in stabilizing TEGs. For this study, we investigated the
impacts of two TEGs in the Canadian High Arctic (Bylot Island, NU, Canada) on ground ice content, cryostratigraphic
patterns, and geomorphology to examine permafrost recovery following thermal erosion in ice-wedge polygonal tundra. We sampled 17 permafrost cores from two TEGs – one still active (since 1999) and one stabilized (>100 years old) – to describe
15
the surface conditions, interpret the cryostratigraphic patterns, and characterize the state of permafrost after TEG
stabilization. We observed that although the TEG caused discernable cryostratigraphic patterns, ground ice content and
active layer thickness of the TEGs were comparable to measurements made in undisturbed conditions. We also noted that
once stabilized, TEGs permanently (at the Anthropocene scale) alter landscape morphology and hydrological connectivity. We concluded that although the formation of a TEG has profound effects on the short/medium term and leaves near
20
permanent geomorphological and hydrological scars in periglacial landscapes, on the long term, High Arctic permafrost can
recover and return to geocryological conditions similar to those pre-dating the initial disturbance. This suggests that in stable
environmental conditions undergoing natural variability, permafrost can persist longer than the geomorphological landforms
in which it forms. https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. The cryostratigraphy of thermo-erosion gullies in the Canadian High
Arctic demonstrates the resilience of permafrost
Samuel Gagnon1,3, Daniel Fortier2,3, Étienne Godin3, Audrey Veillette2
1Département de Géographie, Université Laval, Québec, QC, G1V 0A6, Canada
2Département de Géographie, Université de Montréal, Montréal, QC, H2V 2B8, Canada
5
3Centre d’études nordiques, Université Laval, Québec, QC, G1V 0A6, Canada
Correspondence to: Samuel Gagnon (samuel gagnon 1@gmail com) Thermal erosion and the formation of thermo-erosion gullies (TEGs) are one of the most common forms of abrupt
permafrost degradation (Abbott et al., 2015; Kokelj and Jorgenson, 2013; Olefeldt et al., 2016; Turetsky et al., 2020).
Thermal erosion, which is defined as the erosion of ice-rich permafrost by the combined thermal and mechanical action of
moving water (Goudie, 2004), often occurs in ice-wedge polygonal networks due to the interconnected troughs that can
channel runoff water (i.e., snowmelt, summer precipitations, melting of ground ice) along ice wedges (Fortier et al., 2007;
30 https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. French, 2007; Godin and Fortier, 2012b). TEGs in polygonal networks are initiated by the infiltration of runoff water (e.g.,
snowmelt, rainfall) into open cracks and cavities in the active layer and can develop over a single thawing season (e.g.,
Fortier et al. 2007). Over time, TEG can merge and form extensive gully systems which can eventually turn into thermo-
erosion valleys (Fortier et al., 2007; French, 2017; Gagnon and Allard, 2019; Morgenstern et al., 2021; Arė et al., 1979; French, 2007; Godin and Fortier, 2012b). TEGs in polygonal networks are initiated by the infiltration of runoff water (e.g.,
snowmelt, rainfall) into open cracks and cavities in the active layer and can develop over a single thawing season (e.g.,
Fortier et al. 2007). Over time, TEG can merge and form extensive gully systems which can eventually turn into thermo-
erosion valleys (Fortier et al., 2007; French, 2017; Gagnon and Allard, 2019; Morgenstern et al., 2021; Arė et al., 1979; Godin and Fortier, 2012b). Although the formation of TEGs can significantly affect permafrost environments by altering
35
landscape morphology and ecosystem functions (Bowden et al., 2008; Liljedahl et al., 2007; Toniolo et al., 2009; Lacelle et
al., 2010; Lantz and Kokelj, 2008; Levy et al., 2008; Morgenstern et al., 2021; Grosse et al., 2006, 2005), TEG are an
integral part of landscape evolution in areas of continuous permafrost (Godin et al., 2014). However, the processes of stabilization of TEGs remain poorly documented, especially the ground ice patterns that Godin and Fortier, 2012b). Although the formation of TEGs can significantly affect permafrost environments by altering
35
landscape morphology and ecosystem functions (Bowden et al., 2008; Liljedahl et al., 2007; Toniolo et al., 2009; Lacelle et
al., 2010; Lantz and Kokelj, 2008; Levy et al., 2008; Morgenstern et al., 2021; Grosse et al., 2006, 2005), TEG are an
integral part of landscape evolution in areas of continuous permafrost (Godin et al., 2014). However, the processes of stabilization of TEGs remain poorly documented, especially the ground ice patterns that However, the processes of stabilization of TEGs remain poorly documented, especially the ground ice patterns that
form following permafrost aggradation in stabilizing TEG. 1. Introduction
25 Thermal erosion and the formation of thermo-erosion gullies (TEGs) are one of the most common forms of abrupt
permafrost degradation (Abbott et al., 2015; Kokelj and Jorgenson, 2013; Olefeldt et al., 2016; Turetsky et al., 2020). Thermal erosion, which is defined as the erosion of ice-rich permafrost by the combined thermal and mechanical action of
moving water (Goudie, 2004), often occurs in ice-wedge polygonal networks due to the interconnected troughs that can Thermal erosion and the formation of thermo-erosion gullies (TEGs) are one of the most common forms of abrupt
permafrost degradation (Abbott et al., 2015; Kokelj and Jorgenson, 2013; Olefeldt et al., 2016; Turetsky et al., 2020). Thermal erosion, which is defined as the erosion of ice-rich permafrost by the combined thermal and mechanical action of
moving water (Goudie, 2004), often occurs in ice-wedge polygonal networks due to the interconnected troughs that can
channel runoff water (i e
snowmelt summer precipitations melting of ground ice) along ice wedges (Fortier et al
2007;
30 channel runoff water (i.e., snowmelt, summer precipitations, melting of ground ice) along ice wedges (Fortier et al., 2007;
30 1 Ground ice and its patterns of distribution, i.e., the
40
cryostratigraphy and cryostructures, can provide valuable information on the conditions of permafrost formation and its
potential response to warming and thawing (Gilbert et al., 2016). Because they can provide insights about the ground
freezing processes (Murton, 2013), cryostructures have been investigated in different environments such as coastlands
(Murton and French, 1994; Burn, 1997), yedoma and drained thermokarst lake basin (Kanevskiy et al., 2011; Jongejans et form following permafrost aggradation in stabilizing TEG. Ground ice and its patterns of distribution, i.e., the
40
cryostratigraphy and cryostructures, can provide valuable information on the conditions of permafrost formation and its
potential response to warming and thawing (Gilbert et al., 2016). Because they can provide insights about the ground
freezing processes (Murton, 2013), cryostructures have been investigated in different environments such as coastlands
(Murton and French, 1994; Burn, 1997), yedoma and drained thermokarst lake basin (Kanevskiy et al., 2011; Jongejans et al., 2018), lacustrine lowlands (Kanevskiy et al., 2014), and to study buried glacier ice (Coulombe et al., 2019). Such
45
characterization has yet to be done in TEGs. This would help understand and predict the response of permafrost to thermal
erosion, i.e., its resilience, which we define permafrost resilience as the capacity of permafrost to recover to a pre-
disturbance state (ground temperature below 0°C, similar ground ice contents and morphologies) following a disturbance and
the associated perturbations (Chapin et al., 2009; Jorgenson et al., 2010; Piégay et al., 2020; Thoms et al., 2018). For this study, we investigated the geocryological and geomorphological processes of permafrost recovery
50
following thermal erosion in ice-wedge polygonal tundra. More specifically, this study aimed: 1) to characterize the
cryostructures and cryostratigraphic patterns of two TEGs in polygonal tundra, 2) to determine the impacts of thermal
erosion on the ground ice content and surface characteristics of the two TEGs and compare them with undisturbed
surrounding polygons, 3) to describe the stages of TEG stabilization based on changes in surface geomorphology and 50 permafrost cryostratigraphy, and 4) to evaluate the stability and resilience of permafrost after thermal erosion based on
55
ground ice content and cryostratigraphic patterns. To our knowledge, this study is the first to report ground ice contents and
cryostratigraphic data in TEGs, which were used to discuss the evolution of periglacial landscapes following thermal erosion
in areas with cold ice-rich permafrost. https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. Figure 1: Location of the thermo-erosion gullies (TEG) in the Qarlikturvik valley, Bylot Island (NU, Canada). The cores (blue
(TEG1) and green (TEG2) dots) and thaw front depth (TFD) transects (yellow dots, center of the transect) for each TEG are
indicated in the bottom images. Cores were retrieved in undisturbed polygons, drained polygons, in the slopes of the gullies, and at
the bottom of the gully channel (BGC) of TEG2. TEG2-TFD2 and TEG2-TFD3 are shown in the top right image, upstream of the
boreholes. The Center for Northern Studies (CEN) research and meteorological stations are indicated with red dots. Sources: Esri
ArcGIS Pro World Imagery basemap, Earthstar Geographics (15 m resolution; top images), and Maxar (30 cm resolution; bottom
images), and the GIS User Community. Figure 1: Location of the thermo-erosion gullies (TEG) in the Qarlikturvik valley, Bylot Island (NU, Canada). The cores (blue
60
(TEG1) and green (TEG2) dots) and thaw front depth (TFD) transects (yellow dots, center of the transect) for each TEG are
indicated in the bottom images. Cores were retrieved in undisturbed polygons, drained polygons, in the slopes of the gullies, and at
the bottom of the gully channel (BGC) of TEG2. TEG2-TFD2 and TEG2-TFD3 are shown in the top right image, upstream of the
boreholes. The Center for Northern Studies (CEN) research and meteorological stations are indicated with red dots. Sources: Esri
ArcGIS Pro World Imagery basemap, Earthstar Geographics (15 m resolution; top images), and Maxar (30 cm resolution; bottom
65
images), and the GIS User Community. 60 65 The two TEGs studied for this research are located in the Qarlikturvik Valley on the southwestern plain of Bylot Island,
Nunavut (Canada) (Figure 1). We selected Bylot Island for its cold ice-rich permafrost, the abundance of TEG developed in
ice-wedge polygons in the Qarlikturvik Valley, and for the availability of meteorological and thermal data in the area. The
70 permafrost cryostratigraphy, and 4) to evaluate the stability and resilience of permafrost after thermal erosion based on
55
ground ice content and cryostratigraphic patterns. To our knowledge, this study is the first to report ground ice contents and
cryostratigraphic data in TEGs, which were used to discuss the evolution of periglacial landscapes following thermal erosion
in areas with cold ice-rich permafrost. 2 2 Based on meteorological data recorded near
(73°9’21.6”N,79°57’24.8”W, 12 m a.s.l.) the Center for Northern Studies (CEN) research station on Bylot Island (Figure 1), (73 9 21.6 N,79 57 24.8 W, 12 m a.s.l.) the Center for Northern Studies (CEN) research station on Bylot Island (Figure 1),
mean annual air temperature was -14.6°C for the 1995-2018 period (missing 1997, 1998, 2009, 2010, and 2014) (Climate
80
station data from Bylot Island in Nunavut, Canada, v. 1.11 (1992-2019). Nordicana D2, doi: 10.5885/45039SL-
EE76C1BDAADC4890). Mean annual precipitations recorded at the Mattimatalik (Pond Inlet) Airport (72°41’N, 77°58’W,
61.6 m a.s.l.), which is about 85 km southwest of the study area, was 189 mm for the 1981-2010 period, 48% of which fell as
rain between June and November (Historical Climate Data - Climatic data of Pond Inlet, Nunavut, 2022). Surface vegetation mean annual air temperature was -14.6°C for the 1995-2018 period (missing 1997, 1998, 2009, 2010, and 2014) (Climate
80
station data from Bylot Island in Nunavut, Canada, v. 1.11 (1992-2019). Nordicana D2, doi: 10.5885/45039SL-
EE76C1BDAADC4890). Mean annual precipitations recorded at the Mattimatalik (Pond Inlet) Airport (72°41’N, 77°58’W,
61.6 m a.s.l.), which is about 85 km southwest of the study area, was 189 mm for the 1981-2010 period, 48% of which fell as
rain between June and November (Historical Climate Data - Climatic data of Pond Inlet, Nunavut, 2022). Surface vegetation in the valley floor is mainly composed of sedges, grasses, and mosses typical of wetlands and environments with a high
85
water table (Perreault et al., 2016). The first TEG, TEG1, has been studied since its initiation in 1999 (R08 in Fortier et al., 2007; Godin and Fortier,
2012b; Rioux, 2020). TEG1 is located on the southern terrace of the Qarlikturvik Valley, about 800 m east of the CEN
research station and 5.5 km from the valley mouth (Figure 1). It cuts into the north-facing terrace, which is gently sloping (2%) toward the outwash river and about 20 m a.s.l. (Godin and Fortier, 2012b). The gully showed high rates of erosion
90
during the first years following its inception that decreased over the years (from 390 m a-1 in 1999 to 5 m a-1 for the 2013-
2017 period) (Fortier et al., 2007; Godin and Fortier, 2012b, a; Rioux, 2020). 2. Study site The two TEGs studied for this research are located in the Qarlikturvik Valley on the southwestern plain of Bylot Island,
Nunavut (Canada) (Figure 1). We selected Bylot Island for its cold ice-rich permafrost, the abundance of TEG developed in
ice-wedge polygons in the Qarlikturvik Valley, and for the availability of meteorological and thermal data in the area. The
70 70 3 https://doi.org/10.5194/egusphere-2024-208
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c⃝Author(s) 2024. CC BY 4.0 License. ~17 km-long glacial valley is oriented east-northeast west-southwest with a floor about 4-5 km wide. Two glaciers (C-79 and
C-93) at the valley head feed a proglacial river that runs through braided channels in an outwash plain (Inland Waters
Branch, 1969). The plain is bordered on both sides by terraces composed of over 4 to 5 m of organic-rich silty aeolian
deposits and, in some areas, alluvial gravelly silty sands, overlying glaciofluvial deposits (Allard, 1996; Fortier et al., 2006). ~17 km-long glacial valley is oriented east-northeast west-southwest with a floor about 4-5 km wide. Two glaciers (C-79 and
C-93) at the valley head feed a proglacial river that runs through braided channels in an outwash plain (Inland Waters
Branch, 1969). The plain is bordered on both sides by terraces composed of over 4 to 5 m of organic-rich silty aeolian
deposits and, in some areas, alluvial gravelly silty sands, overlying glaciofluvial deposits (Allard, 1996; Fortier et al., 2006). Well-developed networks of low-centered ice-wedge polygons that have formed syngenetically during the Late Holocene as
75
well as thaw ponds, tundra lakes and pingos cover the terraces (Fortier and Allard, 2004). 75 Well-developed networks of low-centered ice-wedge polygons that have formed syngenetically during the Late Holocene as
75
well as thaw ponds, tundra lakes and pingos cover the terraces (Fortier and Allard, 2004). The region has a high-Arctic climate and is underlain by continuous permafrost estimated to be more than 400 m in
thickness in some areas (Maxwell
1980; Smith and Burgess
2002)
Based on meteorological data recorded near Well-developed networks of low-centered ice-wedge polygons that have formed syngenetically during the Late Holocene as
75
well as thaw ponds, tundra lakes and pingos cover the terraces (Fortier and Allard, 2004). The region has a high-Arctic climate and is underlain by continuous permafrost estimated to be more than 400 m in
thickness in some areas (Maxwell, 1980; Smith and Burgess, 2002). Based on meteorological data recorded near
(73°9’21.6”N,79°57’24.8”W, 12 m a.s.l.) the Center for Northern Studies (CEN) research station on Bylot Island (Figure 1), The region has a high-Arctic climate and is underlain by continuous permafrost estimated to be more than 400 m in
thickness in some areas (Maxwell, 1980; Smith and Burgess, 2002). https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. TEG1 had a main axis length of 863±4 m and
formed a hydrological network of 33 458±379 m2 in 2017 (Rioux, 2020), and was still active in 2021 during fieldwork in the
area. The second TEG, TEG2 (R05 in Godin and Fortier, 2012a; Veillette, 2019), is also located on the southern terrace of 90 the valley, about 2.8 km east of the CEN research station and 7.4 km from the valley mouth (Figure 1). TEG2 had a main
95
axis length of 1899 m and a surface area of 29 485 m2 in 2010 (Godin and Fortier, 2012a). The head TEG2 is located at the
junction between two alluvial fans that formed from sediments eroded in the deep ravines incising the plateau of sedimentary
rocks (Veillette, 2019). TEG2 cuts through the polygonal terrace (1.2% slope) before reaching the proglacial river. Aerial
photos (1958, 1961, 1972, 1982) and satellite imagery (2007, 2010) showed that TEG2 was already stabilized in 1958 ant therefore much older than 65 years old (1958-2023) (Godin and Fortier, 2012a; Veillette, 2019). Based on stabilization rates
100
by Godin and Fortier (2012a), the gully is likely >100 years old. therefore much older than 65 years old (1958-2023) (Godin and Fortier, 2012a; Veillette, 2019). Based on stabilization rates
100
by Godin and Fortier (2012a), the gully is likely >100 years old. 4 3.1 Fieldwork and laboratory analyses Fieldwork was carried out between June and August in 2013, 2016, 2017 and 2018. To assess Fieldwork was carried out between June and August in 2013, 2016, 2017 and 2018. To assess the impacts of the TEG on the
permafrost thermal regime, thaw front depth (TFD) was measured at different locations at TEG1 and TEG2 (Figure 1). TFD
105
was obtained by probing to refusal with a graduated steel rod in 2017 from 13 June to 29 July, and in 2018 from 12 June to
16 August. Measurements were made every 2-3 days along transects of ~30 points (10 to 30 m in length) perpendicular to
the TEG and averaged into three sections (shoulders, slopes, and channel; Figure 2). TFD was also calculated from
temperatures (Supplementary material 1) recorded by thermistor cables installed in two boreholes in undisturbed low- g
p
permafrost thermal regime, thaw front depth (TFD) was measured at different locations at TEG1 and TEG2 (Figure 1). TFD
105
was obtained by probing to refusal with a graduated steel rod in 2017 from 13 June to 29 July, and in 2018 from 12 June to
16 August. Measurements were made every 2-3 days along transects of ~30 points (10 to 30 m in length) perpendicular to
the TEG and averaged into three sections (shoulders, slopes, and channel; Figure 2). TFD was also calculated from
temperatures (Supplementary material 1) recorded by thermistor cables installed in two boreholes in undisturbed low- centered polygons, one adjacent to TEG1 (IP-A, see Godin et al. 2016) and the other one about two kilometres west of TEG1
110
(BYLOTPD; Allard et al., 2020). The tundra polygons near the gullies were described based on their shape (low-centered,
flat, high-centered) and the drainage conditions (standing water, mesic, drained). To measure ground ice content and analyse
soil composition, the TEG and the surrounding polygons were drilled using a portable earth-drill, with a 10 cm-diameter core
barrel. At TEG1, we drilled in 2013 along and in the TEG at three subsites of different ages (Figure 2). At each subsite, one centered polygons, one adjacent to TEG1 (IP-A, see Godin et al. 2016) and the other one about two kilometres west of TEG1
110
(BYLOTPD; Allard et al., 2020). The tundra polygons near the gullies were described based on their shape (low-centered,
flat, high-centered) and the drainage conditions (standing water, mesic, drained). 3.1 Fieldwork and laboratory analyses To measure ground ice content and analyse
soil composition, the TEG and the surrounding polygons were drilled using a portable earth-drill, with a 10 cm-diameter core
barrel. At TEG1, we drilled in 2013 along and in the TEG at three subsites of different ages (Figure 2). At each subsite, one centered polygons, one adjacent to TEG1 (IP-A, see Godin et al. 2016) and the other one about two kilometres west of TEG1
110
(BYLOTPD; Allard et al., 2020). The tundra polygons near the gullies were described based on their shape (low-centered,
flat, high-centered) and the drainage conditions (standing water, mesic, drained). To measure ground ice content and analyse
soil composition, the TEG and the surrounding polygons were drilled using a portable earth-drill, with a 10 cm-diameter core
barrel. At TEG1, we drilled in 2013 along and in the TEG at three subsites of different ages (Figure 2). At each subsite, one hole was drilled in an undisturbed polygon (TEG1-1Undist, TEG1-2Undist, TEG1-3Undist), one in a drained polygon adjacent to
115
the TEG (TEG1-1Drained, TEG1-2Drained, TEG1-3Drained), and one in the gully slope adjacent to the drained polygon (TEG1-
1Slope, TEG1-2Slope, TEG1-3Slope). At TEG2, we drilled at eight locations in 2016 to extract permafrost cores down to 1.15 to
2.12 m. The holes were located on a ~170 m transect going across TEG2 and sampled undisturbed polygons (TEG2-1Undist,
TEG2-2Undist), drained polygons adjacent to the TEG (TEG2-1Drained, TEG2-2Drained), gully slopes (TEG2-1Slope, TEG2-2Slope, TEG2-3Slope), and the bottom of the gully channel (TEG2BGC) (Figure 1; Figure 2). All permafrost cores were kept frozen and
120
brought back to Université de Montréal for laboratory analyses. 5 https://doi.org/10.5194/egusphere-2024-208
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c⃝Author(s) 2024. CC BY 4.0 License. Figure 2. Conceptual cross-section of the two thermo-erosion gullies (TEG1 and TEG2), sections of the TEGs where thaw front
depth was probed (only one side is annotated, but for slopes and shoulders, both sides were probed), and locations where we
drilled into permafrost. The locations of the cores are relative to the cross-section of the gullies, for their exact location see Figure
1. Figure not to scale. Figure 2. Conceptual cross-section of the two thermo-erosion gullies (TEG1 and TEG2), sections of the TEGs where thaw front
depth was probed (only one side is annotated, but for slopes and shoulders, both sides were probed), and locations where we
drilled into permafrost. 3.2 Data analyses The weighted average VIC (VICwa) and OMC (OMCwa) were calculated for each cryostructure, cores from a same hole
140
(hereafter referred as cores), and TEG (Supplementary material 2). To facilitate comparison between cores, VICwa and
OMCwa down to one meter were used (VICwa and OMCwa hereafter describe the weighted average down to 1 m). For TEG1-
1Undist and TEG1-1Drained, which were 95 cm and 96 cm deep, respectively, the bottom cryostructure/stratigraphy and
associated VIC/OMC were assumed to be the same down to 100 cm deep. The weighted average VIC (VICwa) and OMC (OMCwa) were calculated for each cryostructure, cores from a same hole
140
(hereafter referred as cores), and TEG (Supplementary material 2). To facilitate comparison between cores, VICwa and
OMCwa down to one meter were used (VICwa and OMCwa hereafter describe the weighted average down to 1 m). For TEG1-
1Undist and TEG1-1Drained, which were 95 cm and 96 cm deep, respectively, the bottom cryostructure/stratigraphy and
associated VIC/OMC were assumed to be the same down to 100 cm deep. To produce the generalized stratigraphy of each core, we used the grain size statistics combined with the
145
photographs and CT-scans of the cores. Grain size analyses were performed with the GRADISTAT program (version 9.1)
(Blott and Pye, 2001). Based on sediment size classes derived from sieving and the particle size analyzer, the program
generated statistical parameters that were used to determine the textural groups and the types of sediment (Folk and Ward
(1957) measures were used). We also performed statistical analyses to determine if VIC differed between the two TEG, between all sub-sites of the TEG, and between the position of the cores about the TEGs (i.e., undisturbed polygon, drained
150
polygon, gully slope, gully channel) using RStudio software (RStudio Inc., version 1.4.1103). This was done using VICwa
down to 1 m of each core in a one-way analysis of variance (ANOVA) with a 95% confidence interval followed by a
Tukey’s HSD analysis. between all sub-sites of the TEG, and between the position of the cores about the TEGs (i.e., undisturbed polygon, drained
150
polygon, gully slope, gully channel) using RStudio software (RStudio Inc., version 1.4.1103). This was done using VICwa
down to 1 m of each core in a one-way analysis of variance (ANOVA) with a 95% confidence interval followed by a
Tukey’s HSD analysis. https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. and silt (≤63 µm) in each sample (Supplementary material 3). Clay (≤2 µm) was not described as it accounted for <1% in all
samples. Organic matter content (OMC) was determined using the loss-on-ignition method (5-10g triplicates at 550°C for
5h, Gagnon and Allard, 2020). and silt (≤63 µm) in each sample (Supplementary material 3). Clay (≤2 µm) was not described as it accounted for <1% in all
samples. Organic matter content (OMC) was determined using the loss-on-ignition method (5-10g triplicates at 550°C for
5h, Gagnon and Allard, 2020). 3.1 Fieldwork and laboratory analyses The locations of the cores are relative to the cross-section of the gullies, for their exact location see Figure Figure 2. Conceptual cross-section of the two thermo-erosion gullies (TEG1 and TEG2), sections of the TEGs where thaw front
depth was probed (only one side is annotated, but for slopes and shoulders, both sides were probed), and locations where we
drilled into permafrost. The locations of the cores are relative to the cross-section of the gullies, for their exact location see Figure
1. Figure not to scale. AS+128, Siemens®, resolution of 0.4 mm). The scans were used to characterize the cryostructures present in permafrost
(Calmels and Allard, 2004). Cryostructures were described using a classification based on existing literature (French and Shur, 2010; Kanevskiy et al., 2013; Murton, 2013). Then, the cores were cut into samples corresponding to the main
130
cryostructures and sediment textures, and vacuum sealed in plastic bags to determine their total volume (Vt) using the water
displacement method (Strauss et al., 2013). After, the samples were weighted, dried in an oven at 105°C until dry, and
reweighted to determine the water content. The volume and mass of the samples were used to calculate bulk (ρbulk) and dry
(ρdry) densities, and the mass of water for volumetric ice content (VIC; cm3ice cm-3soil Supplementary material 2). Soil composition was determined by calculating the proportion (% of total mass) of gravel (>2 mm), sand (>63 µm to ≤2 mm),
135 6 https://doi.org/10.5194/egusphere-2024-208
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c⃝Author(s) 2024. CC BY 4.0 License. a) TEG1, near subsite TEG1-2, b) TEG1, near subsite TEG1-3. EG2, near TEG2_TFD2, about 400 m upstream of the boreholes. backpack on the pictures is about 80 cm long. Figure 3. Thermo-erosion gullies 1 (TEG1, a-b) and 2 (TEG2, c-d). a) TEG1, near subsite TEG1-2, b) TEG1, near subsite TEG1-3. c) TEG2, near the transect where the cores were drilled, and d) TEG2, near TEG2_TFD2, about 400 m upstream of the boreholes. All pictures were taken on 24 June 2018 and point South-East. The backpack on the pictures is about 80 cm long. 165 65
Figure 3. Thermo-erosion gullies 1 (TEG1, a-b) and 2 (TEG2, c-d). a) TEG1, near subsite TEG1-2, b) TEG1, near subsite TEG1-3. c) TEG2, near the transect where the cores were drilled, and d) TEG2, near TEG2_TFD2, about 400 m upstream of the boreholes. All pictures were taken on 24 June 2018 and point South-East. The backpack on the pictures is about 80 cm long. For both TEG1 and TEG2, the polygons adjacent to the TEG were drained, i.e., mesic to dry (TEG1-1-2-3Drained, ,
p yg
j
,
,
y (
,
TEG2-1-2Drained), compared to other undisturbed polygons away from the gully incisions where standing water was common
170
(TEG1-1-2-3Undist, TEG2-1-2Undist). At TEG1, the drained polygons adjacent to the TEG were low-centered. At TEG2, the
drained polygons were flat or high-centered while the undisturbed polygons were low-centered. In addition, the area
encompassing the drained polygons along the TEG was also higher in elevation than the surrounding low-centered polygons
(based on a normalized topographic position index, see Veillette, 2019). Over 70 thermal contraction cracks were found at TEG2-1-2Drained), compared to other undisturbed polygons away from the gully incisions where standing water was common
170
(TEG1-1-2-3Undist, TEG2-1-2Undist). At TEG1, the drained polygons adjacent to the TEG were low-centered. At TEG2, the
drained polygons were flat or high-centered while the undisturbed polygons were low-centered. In addition, the area
encompassing the drained polygons along the TEG was also higher in elevation than the surrounding low-centered polygons
(based on a normalized topographic position index, see Veillette, 2019). Over 70 thermal contraction cracks were found at TEG2-1-2Drained), compared to other undisturbed polygons away from the gully incisions where standing water was common
170
(TEG1-1-2-3Undist, TEG2-1-2Undist). At TEG1, the drained polygons adjacent to the TEG were low-centered. 4.1 State of the TEG, polygon shape, and active layer thickness
155 The two TEG differed significantly in their surface characteristics and general shape. TEG1 was characterized by a narrow
(~10 m) box-shaped main channel, i.e., high-angle slopes connecting to a flat gully channel bottom, and had many
ramifications through the surrounding polygonal network. Erosion was apparent in all the channels, i.e., the sides of channels
were steep and uneven with blocks of ground falling off, causing the soil to be exposed (Figure 3). It was also possible to see The two TEG differed significantly in their surface characteristics and general shape. TEG1 was characterized by a narrow
(~10 m) box-shaped main channel, i.e., high-angle slopes connecting to a flat gully channel bottom, and had many
ramifications through the surrounding polygonal network. Erosion was apparent in all the channels, i.e., the sides of channels
were steep and uneven with blocks of ground falling off, causing the soil to be exposed (Figure 3). It was also possible to see thermokarst mounds, i.e., baydzherakhi, in the main channel of TEG1 where erosion isolated polygons. TEG2 was
160
characterized by a well-developed main channel with few ramifications. The main channel was wide (20-30 m from side to
side) with a flat bottom and the slopes were smooth and at low angle (Figure 3). Both the sides and bottom of the gully
channel and the sides were stabilized with a continuous vegetation cover except at the bottom of the gully channel where
water was flowing. thermokarst mounds, i.e., baydzherakhi, in the main channel of TEG1 where erosion isolated polygons. TEG2 was
160
characterized by a well-developed main channel with few ramifications. The main channel was wide (20-30 m from side to
side) with a flat bottom and the slopes were smooth and at low angle (Figure 3). Both the sides and bottom of the gully
channel and the sides were stabilized with a continuous vegetation cover except at the bottom of the gully channel where
water was flowing. 7 At TEG2, the
drained polygons were flat or high-centered while the undisturbed polygons were low-centered. In addition, the area
encompassing the drained polygons along the TEG was also higher in elevation than the surrounding low-centered polygons
(based on a normalized topographic position index, see Veillette, 2019). Over 70 thermal contraction cracks were found at the bottom of the gully channel and on the slopes of TEG2 (Veillette, 2019). The cracks seemed to follow the same pre-
175
disturbance polygonal network as many cracks were extending from the troughs of the surrounding network. the bottom of the gully channel and on the slopes of TEG2 (Veillette, 2019). The cracks seemed to follow the same pre-
175
disturbance polygonal network as many cracks were extending from the troughs of the surrounding network. 8 https://doi.org/10.5194/egusphere-2024-208
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c⃝Author(s) 2024. CC BY 4.0 License. TFD varied between the two TEG and depending on the location of the measurements in the TEG. At TEG1,
TEG1_TFD1-2-3-4 averaged 26 cm, 46 cm, and 39 cm on 29 July 2017 for the shoulders, slopes, and bottom of the gully
channel, respectively (Supplementary table 1). On 30 July 2018, TEG1_TFD1 and TEG1_TFD3 averaged 38 cm
(shoulders), 46 cm (slopes), and 34 cm (bottom of gully channel). Although there was some variability (e.g., TEG1_TFD2
180
2018), the general trend in TFD at TEG1 was deepest on the slopes and shallowest on the shoulders, and measurements on
the slopes and the gully channel were comparable to undisturbed TFD (BYLOTPD and IP-A) (Figure 4a-b-c-d-e-f). At
TEG2, TEG2_TFD1-2-3 averaged 41 cm, 30 cm, and 56 cm on 30 July 2018 for the shoulders, slopes, and bottom of the
gully channel, respectively (Supplementary table 1). All three locations at TEG2 showed the same trend: TFD was deepest at
the bottom of the gully channel and shallowest on the slopes, which were similar to undisturbed TFD (Figure 4g-h-i). 185
Shoulder values showed more variability than at TEG1. the bottom of the gully channel and shallowest on the slopes, which were similar to undisturbed TFD (Figure 4g-h-i). 185
Shoulder values showed more variability than at TEG1. 0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
6/13/17
8/1/17
Active layer thickness (m)
a) TEG1_TFD1 (2017)
0.0
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b) TEG1_TFD1 (2018)
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BYLOTPD
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c) TEG1_TFD2 (2017)
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e) TEG1_TFD3 (2017)
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d) TEG1_TFD2 (2018)
e) 9 https://doi.org/10.5194/egusphere-2024-208
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c⃝Author(s) 2024. CC BY 4.0 License. https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. Figure 4. a) and b) TEG1_TFD1, near subsite TEG1-3, in 2017 and 2018, respectively, c) and d) TEG1_TFD2, near subsite
TEG1-2, in 2017 and 2018 respectively, e) TEG1_TFD3, about 40 m upstream of TEG1_TFD2, f) TEG1_TFD4, about 90 m
upstream of TEG1_TFD2, g) TEG2_TFD1, along the transect of the cores, h) TEG2_TFD2, about 400 m upstream of
TEG2 TFD1
d i) TEG2 TFD3
b
t 640
t
f TEG2 TFD1 S
fi
1 f
th
iti
f th TFD t
t
195 Figure 4. Thaw front depth (TFD) measured in 2017 (13 June to 29 July) and 2018 (12 June to 16 August) in cross-sectional
190
transects of the thermo-erosion gullies (TEG; curves) and TFD calculated from ground temperature measurements (red and
yellow dots). a) and b) TEG1_TFD1, near subsite TEG1-3, in 2017 and 2018, respectively, c) and d) TEG1_TFD2, near subsite
TEG1-2, in 2017 and 2018 respectively, e) TEG1_TFD3, about 40 m upstream of TEG1_TFD2, f) TEG1_TFD4, about 90 m
upstream of TEG1_TFD2, g) TEG2_TFD1, along the transect of the cores, h) TEG2_TFD2, about 400 m upstream of
TEG2_TFD1, and i) TEG2_TFD3, about 640 m upstream of TEG2_TFD1. See figure 1 for the position of the TFD transects. 195 4.2 Soil profiles The generalized stratigraphy of the cores at TEG1 showed that permafrost was characterized by silty sand or sandy silt
sediment, with a larger proportion of peaty material than at TEG2 (Figure 5). There were also some gravelly sediment in
cores TEG1-1Undist and TEG1-1Slope. OMC values varied between 3.1% and 47.8%, and the OMC weighted averages of each
core varied between 5.6% and 20.0%. At TEG2, the cores were largely dominated by sandy silt sediment, sometime with
200
peaty material (Figure 6). OMC values of the different strata varied between 4.0% and 25.0%, but the weighted averages of
each core remained between 6.2% and 15.3% (Table 1). In general, there were more peaty sediment in the undisturbed and
d i
d
l
th
i th
l
d th b tt
f th TEG The generalized stratigraphy of the cores at TEG1 showed that permafrost was characterized by silty sand or sandy silt
sediment, with a larger proportion of peaty material than at TEG2 (Figure 5). There were also some gravelly sediment in
cores TEG1-1Undist and TEG1-1Slope. OMC values varied between 3.1% and 47.8%, and the OMC weighted averages of each
core varied between 5.6% and 20.0%. At TEG2, the cores were largely dominated by sandy silt sediment, sometime with
200 The generalized stratigraphy of the cores at TEG1 showed that permafrost was characterized by silty sand or sandy silt
sediment, with a larger proportion of peaty material than at TEG2 (Figure 5). There were also some gravelly sediment in
cores TEG1-1Undist and TEG1-1Slope. OMC values varied between 3.1% and 47.8%, and the OMC weighted averages of each The generalized stratigraphy of the cores at TEG1 showed that permafrost was characterized by silty sand or sandy silt
sediment, with a larger proportion of peaty material than at TEG2 (Figure 5). There were also some gravelly sediment in
cores TEG1-1Undist and TEG1-1Slope. OMC values varied between 3.1% and 47.8%, and the OMC weighted averages of each core varied between 5.6% and 20.0%. At TEG2, the cores were largely dominated by sandy silt sediment, sometime with
200
peaty material (Figure 6). OMC values of the different strata varied between 4.0% and 25.0%, but the weighted averages of
each core remained between 6.2% and 15.3% (Table 1). In general, there were more peaty sediment in the undisturbed and
drained polygons than in the slopes and the bottom of the TEG. 4.2 Soil profiles core varied between 5.6% and 20.0%. At TEG2, the cores were largely dominated by sandy silt sediment, sometime with
200
peaty material (Figure 6). OMC values of the different strata varied between 4.0% and 25.0%, but the weighted averages of
each core remained between 6.2% and 15.3% (Table 1). In general, there were more peaty sediment in the undisturbed and
drained polygons than in the slopes and the bottom of the TEG. A total of 10 main cryostructures were identified in the cores of both TEG: interstitial (pore ice not visible to the
unaided eye), interstitial visible (pore ice visible), crustal, ice veins, layered, lenticular (includes micro-lenticular
205
cryostructures and non-parallel ice lenses), isolated ice lens, organic matrix (ice-saturated peat), reticulate, and suspended
(Figures 5 and 6, Table 2). Reticulate, suspended, organic matrix, and layered cryostructures accounted for 75.3% of the total
length of all cores, while the seven other cryostructures covered the remaining length. Most of the cryostructures
predominantly developed in sandy silt sediment (Table 2 and Supplementary table 2), except for crustal (silty sandy gravel) and interstitial/interstitial visible (silty sand) cryostructures. The poorly defined sections corresponded to transitional
210
cryostructures, often composed of organic matter unevenly mixed with mineral sediment. VIC within cryostructures varied
between 28.9% and 100.0%, and the VIC range (max-min) of the cryostructures averaged 27% (Table 2). The layered and
reticulate cryostructures showed the widest VIC ranges (respectively 52.2% and 46.2%). VICwa of all cores ranged between
47.0% and 81.5% and averaged 69.3% (Table 1). There was no statistical difference (p-value>0.05) in VICwa between the
TEG1 and TEG2 between any of the sub sites or between the positions of the cores Cores in undisturbed polygons (TEG1
215 and interstitial/interstitial visible (silty sand) cryostructures. The poorly defined sections corresponded to transitional
210
cryostructures, often composed of organic matter unevenly mixed with mineral sediment. VIC within cryostructures varied
between 28.9% and 100.0%, and the VIC range (max-min) of the cryostructures averaged 27% (Table 2). The layered and
reticulate cryostructures showed the widest VIC ranges (respectively 52.2% and 46.2%). VICwa of all cores ranged between
47.0% and 81.5% and averaged 69.3% (Table 1). There was no statistical difference (p-value>0.05) in VICwa between the and interstitial/interstitial visible (silty sand) cryostructures. The poorly defined sections corresponded to transitional
210
cryostructures, often composed of organic matter unevenly mixed with mineral sediment. Thaw front depth (TFD) measured in 2017 (13 June to 29 July) and 2018 (12 June to 16 August) in cross-sectional
190
transects of the thermo-erosion gullies (TEG; curves) and TFD calculated from ground temperature measurements (red and
yellow dots). a) and b) TEG1_TFD1, near subsite TEG1-3, in 2017 and 2018, respectively, c) and d) TEG1_TFD2, near subsite
TEG1-2, in 2017 and 2018 respectively, e) TEG1_TFD3, about 40 m upstream of TEG1_TFD2, f) TEG1_TFD4, about 90 m
upstream of TEG1_TFD2, g) TEG2_TFD1, along the transect of the cores, h) TEG2_TFD2, about 400 m upstream of
TEG2_TFD1, and i) TEG2_TFD3, about 640 m upstream of TEG2_TFD1. See figure 1 for the position of the TFD transects. 195
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i) TEG2_TFD3 (2018) Fi
4 Th
f
t d
th (TFD)
d i
2017 (13 J
t
29 J l )
d 2018 (12 J
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t) i
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i) TEG2_TFD3 (2018) 8 (12 J
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i) TEG2_TFD3 (2018) 8/1/18 FD) measured in 2017 (13 June to 29 July) and 2018 (12 June to 16 August) in cross-sectional
lli
(TEG
)
d TFD
l
l t d f
d t
t
t
(
d
d Figure 4. Thaw front depth (TFD) measured in 2017 (13 June to 29 July) and 2018 (12 June to 16 August) in cross-sectional
190
transects of the thermo-erosion gullies (TEG; curves) and TFD calculated from ground temperature measurements (red and
yellow dots). https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. 1-2-3Undist, TEG2-1-2Undist) were mostly composed of layered, organic matrix, and reticulate cryostructures (Supplementary
table 3). Cores in drained polygons (TEG1-1-2-3Drained, TEG2-1-2Drained) showed similar cryostructures, as well as some ice
enrichment closer to the surface. In the slopes of the gullies, the cores (TEG1-1-2-3Slope, TEG2-1-2-3Slope) often displayed
inclined layers of sediment/ice/air bubbles and were dominated by the reticulate cryostructure. 1-2-3Undist, TEG2-1-2Undist) were mostly composed of layered, organic matrix, and reticulate cryostructures (Supplementary
table 3). Cores in drained polygons (TEG1-1-2-3Drained, TEG2-1-2Drained) showed similar cryostructures, as well as some ice
enrichment closer to the surface. In the slopes of the gullies, the cores (TEG1-1-2-3Slope, TEG2-1-2-3Slope) often displayed
inclined layers of sediment/ice/air bubbles and were dominated by the reticulate cryostructure. Table 1. Weighted average and range (minimum/maximum) of volumetric ice content (VIC) and organic matter content (OMC)
220
down to a depth of 1 m (excluding the surface thawed layer) for the two thermo-erosion gullies (TEG1 and TEG2) and for each
borehole. Table 1. Weighted average and range (minimum/maximum) of volumetric ice content (VIC) and organic matter content (OMC)
20
down to a depth of 1 m (excluding the surface thawed layer) for the two thermo-erosion gullies (TEG1 and TEG2) and for each
borehole. 4.2.1 TEG1 4.2 Soil profiles VIC within cryostructures varied
between 28.9% and 100.0%, and the VIC range (max-min) of the cryostructures averaged 27% (Table 2). The layered and
reticulate cryostructures showed the widest VIC ranges (respectively 52.2% and 46.2%). VICwa of all cores ranged between
47.0% and 81.5% and averaged 69.3% (Table 1). There was no statistical difference (p-value>0.05) in VICwa between the
TEG1 and TEG2 between any of the sub-sites or between the positions of the cores Cores in undisturbed polygons (TEG1-
215 TEG1 and TEG2, between any of the sub-sites, or between the positions of the cores. Cores in undisturbed polygons (TEG1-
215 10 https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. Table 2. Weighted average volumetric ice content (VICwa), total proportion, and proportion of the dominant soil compositions of
each cryostructure identified. The total proportions were calculated by dividing the total length of a cryostructure by the total
length of the cryostructures, and the proportions of the dominant soil compositions were calculated by dividing the total length of
a type of sediment within a cryostructure by the total length of the cryostructure. Only VIC values falling within one cryostructure
(i.e., not sections overlapping two or more cryostructures) were used in the total proportion to obtain representative values. 235 240 In drained polygons, the stratigraphic layers were mostly composed of silty sand and sandy silt, sometimes peaty
(Figure 5b). TEG1-1Drained was composed of sandy silt and silty sand layers with peaty inclusions at the surface and at 66-79
cm. Most of the core was characterized by interstitial and organic matrix cryostructures, except for an ice-rich layer
(suspended cryostructure) at 55-66 cm. TEG1-2Drained showed an ice-rich layer (suspended, reticulate cryostructures) at 44-88 cm with peaty (organic matrix cryostructure) sediment directly below it and at the surface of the core. The sediment in the
245
suspended cryostructure was almost entirely composed of silt. TEG1-3Drained was mostly composed of silty sand. Organic
layers (organic matrix cryostructure) were observed both at the top and the bottom of the core. In the center, the only section
composed of sandy silt was characterized by a layered cryostructure. cm with peaty (organic matrix cryostructure) sediment directly below it and at the surface of the core. The sediment in the
245
suspended cryostructure was almost entirely composed of silt. TEG1-3Drained was mostly composed of silty sand. Organic
layers (organic matrix cryostructure) were observed both at the top and the bottom of the core. In the center, the only section
composed of sandy silt was characterized by a layered cryostructure. Cores from the gully slopes showed contrasting stratigraphy and cryostratigraphy Cores from the gully slopes showed contrasting stratigraphy and cryostratigraphy (Figure 5c). TEG1-1Slope was
composed of three main sections: a top section (4-28 cm) with peaty-silty-sandy sediments, a middle section (28-68 cm) with
250
silty sand sediment showing some cross-stratification, and a bottom section with coarser gravelly-silty-sandy sediments. 4.2.1 TEG1 Cores at had VICwa values ranging between 47.9% and 75.4% and averaged 65.5% (Figure 5 and Table 1). The cores
225
extracted from undisturbed polygons varied in soil composition, stratigraphy, and cryostratigraphy (Figure 5a). TEG1-1Undist
contrasted with the other undisturbed cores due with its top layer of sandy gravel and by having the lowest VICwa (47.9%). The gravelly sediments were characterized by crustal cryostructures, and ice casts of some of the stones were visible, directly
below them (e.g., ice lens at 47-48 cm deep). TEG1-2Undist was composed of layers of sandy silt and silty sand with a peaty inclusion (organic matrix cryostructure) at 63-78 cm. There were ice-rich layers above and below the peaty inclusion at 31-
230
63 cm and 88-115 cm. TEG1-3Undist was characterized by a top half organic layer (organic matrix cryostructure) in silty sand
sediment overlying a bottom half of mineral sediment with a layered cryostructure. The ice layers of this cryostructure
increased in thickness as the sediment changed from silty sand (62 to 90 cm) to sandy silt (>90 cm). 11 The
top section was characterized by an organic matrix cryostructure, the middle section by mostly interstitial visible
cryostructures, and the bottom section by mostly reticulate cryostructures. TEG1-2Slope displayed a thick ice lens at 110-120
cm separating the bottom silty sand sediment from the sandy silt sediment above and including a few oblique streaks of composed of three main sections: a top section (4-28 cm) with peaty-silty-sandy sediments, a middle section (28-68 cm) with
250
silty sand sediment showing some cross-stratification, and a bottom section with coarser gravelly-silty-sandy sediments. The
top section was characterized by an organic matrix cryostructure, the middle section by mostly interstitial visible
cryostructures, and the bottom section by mostly reticulate cryostructures. TEG1-2Slope displayed a thick ice lens at 110-120
cm separating the bottom silty sand sediment from the sandy silt sediment above and including a few oblique streaks of bubbles (<0.5 cm). The bottom sandy sediment was characterized by horizontal and cross-stratification at 120-135 cm
255
(interstitial visible), and inclined stratification (>135 cm) with layered cryostructure aligned with the stratification plane. Above the ice lens and up to 78 cm deep, the sediments and the cryostructures were inclined. TEG1-3Slope contrasted with the
two other cores by being more uniform in soil composition and cryostructures. Except at the top of the core (<36 cm), bubbles (<0.5 cm). The bottom sandy sediment was characterized by horizontal and cross-stratification at 120-135 cm
255
(interstitial visible), and inclined stratification (>135 cm) with layered cryostructure aligned with the stratification plane. Above the ice lens and up to 78 cm deep, the sediments and the cryostructures were inclined. TEG1-3Slope contrasted with the
two other cores by being more uniform in soil composition and cryostructures. Except at the top of the core (<36 cm), 12 https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. TEG1-3Slope was entirely composed of reticulate cryostructures in sandy silt sediment. Starting at 76 cm, the sediment/ice
layers were inclined. TEG1-3Slope was entirely composed of reticulate cryostructures in sandy silt sediment. Starting at 76 cm, the sediment/ice
layers were inclined. 260 layers were inclined. 260 260 13 13 Figure 5. Organic matter content (OMC; %), soil composition (SC; %gravel, %sand, %silt), soil stratigraphy, CT-scan imagery,
soil cryostratigraphy, volumetric ice content (VIC; %), and geocryological layers for the cores at TEG1. a) Cores in undisturbed
5
polygons, b) cores in drained polygons, and c) cores in slopes of TEG1. While delineations were used to mark the transitions
between the frozen part of the active layer, the transient layer, and the intermediate layer, color gradients were also used to denote
the uncertainty in the limits between these layers. Refer to figure 6 for the legend. Figure 5. Organic matter content (OMC; %), soil composition (SC; %gravel, %sand, %silt), soil stratigraphy, CT-scan imagery,
soil cryostratigraphy, volumetric ice content (VIC; %), and geocryological layers for the cores at TEG1. a) Cores in undisturbed
65
polygons, b) cores in drained polygons, and c) cores in slopes of TEG1. While delineations were used to mark the transitions
between the frozen part of the active layer, the transient layer, and the intermediate layer, color gradients were also used to denote
the uncertainty in the limits between these layers. Refer to figure 6 for the legend. Figure 5. Organic matter content (OMC; %), soil composition (SC; %gravel, %sand, %silt), soil stratigraphy, CT-scan imagery,
soil cryostratigraphy, volumetric ice content (VIC; %), and geocryological layers for the cores at TEG1. a) Cores in undisturbed
265
polygons, b) cores in drained polygons, and c) cores in slopes of TEG1. While delineations were used to mark the transitions
between the frozen part of the active layer, the transient layer, and the intermediate layer, color gradients were also used to denote
the uncertainty in the limits between these layers. Refer to figure 6 for the legend. Figure 5. Organic matter content (OMC; %), soil composition (SC; %gravel, %sand, %si 265 14 4.2.1 TEG2 Cores at TEG2 had VICwa values ranging between 64.2% and 81.4% and averaged 74.2% (Figure 6; Table 1). TEG2-1Undist
270
and TEG2-2Undist were mostly composed of sandy silt with some layers of peaty sandy silt (Figure 6a). TEG2-1Undist was
characterized by a succession of organic layers (organic matrix) underlain by ice-rich layers (suspended, reticulate, layered). Similarly, TEG2-2Undist was dominated by an organic matrix cryostructure in the top section (13-52 cm) underlain by an ice-
rich (suspended cryostructure) layer (61-81 cm) in sandy silt above a layered cryostructure with thin ice lenses in silty sand. Cores at TEG2 had VICwa values ranging between 64.2% and 81.4% and averaged 74.2% (Figure 6; Table 1). TEG2-1Undist
270
and TEG2-2Undist were mostly composed of sandy silt with some layers of peaty sandy silt (Figure 6a). TEG2-1Undist was
characterized by a succession of organic layers (organic matrix) underlain by ice-rich layers (suspended, reticulate, layered). Similarly, TEG2-2Undist was dominated by an organic matrix cryostructure in the top section (13-52 cm) underlain by an ice-
rich (suspended cryostructure) layer (61-81 cm) in sandy silt above a layered cryostructure with thin ice lenses in silty sand. In drained polygons (TEG2-1Drained, TEG2-2Drained), the stratigraphic layers were mostly composed of sandy silt,
275
sometimes peaty (Figure 6b). Both cores were characterized by an ice-rich layer (ice lens, suspended, reticulate, layered
cryostructures) near the top of permafrost, a middle section with organic-rich sediment (organic matrix cryostructure), and a
bottom section characterized by more developed cryostructures (layered, reticulate, ice lens) and ice lenses. In drained polygons (TEG2-1Drained, TEG2-2Drained), the stratigraphic layers were mostly composed of sandy silt,
275
sometimes peaty (Figure 6b). Both cores were characterized by an ice-rich layer (ice lens, suspended, reticulate, layered
cryostructures) near the top of permafrost, a middle section with organic-rich sediment (organic matrix cryostructure), and a
bottom section characterized by more developed cryostructures (layered, reticulate, ice lens) and ice lenses. 15 https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. In the gully slopes, while TEG2-2Slope and TEG2-3Slope were entirely composed of sandy silt, TEG2-1Slope also
contained peaty sections (Figure 6c). In TEG2-1Slope, it was possible to see alternation of peaty sediment (organic matrix
280
cryostructure) and ice-rich (suspended, reticulate, layered cryostructures) sandy silt sediment. TEG2-2Slope was dominated by
ice-rich cryostructures (layered, reticulate, suspended) transitioning from one to the other. The reticulate and layered
cryostructures were well-developed, i.e., had high VIC values and were characterized by thick ice inclusions (and vice versa
for poorly-developed). TEG2-3Slope was dominated by reticulate cryostructures, though they were often poorly-developed. The layered cryostructures at the bottom of the core were very clearly defined. Oblique streaks of bubbles (<1.5 cm) were
285
found in the suspended and reticulate cryostructures of the slope cores, i.e., parallel to the slope surface. Finally, the stratigraphy of core at the bottom of the gully channel (TEG2BGC) contrasted with the other cores of
TEG2 with more sandy sediments and some gravel at the bottom of the core (Figure 6d). The core had the lowest VICwa of
all cores at TEG2 (Table 1), though this only included the top 40 cm of the core, which was not representative of deeper
layers where ice-rich cryostructures (reticulate, suspended, layered) were found. Starting at 192 cm deep, inclined layers of
290
coarser sediments formed inclined cryostructures. The layered cryostructures at the bottom of the core were very clearly defined. Oblique streaks of bubbles (<1.5 cm) were
285
found in the suspended and reticulate cryostructures of the slope cores, i.e., parallel to the slope surface. Finally, the stratigraphy of core at the bottom of the gully channel (TEG2BGC) contrasted with the other cores of
TEG2 with more sandy sediments and some gravel at the bottom of the core (Figure 6d). The core had the lowest VICwa of
all cores at TEG2 (Table 1), though this only included the top 40 cm of the core, which was not representative of deeper
layers where ice-rich cryostructures (reticulate, suspended, layered) were found. Starting at 192 cm deep, inclined layers of
290
coarser sediments formed inclined cryostructures. 16 17 https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. 295
Figure 6. Organic matter content (OMC; %), soil composition (SC; %gravel, %sand, %silt), soil stratigraphy, CT-scan imagery,
soil cryostratigraphy, volumetric ice content (VIC; %), and geocryological layers for the boreholes at TEG2. a) Cores in
undisturbed polygons, b) cores in drained polygons, c) cores in slopes of TEG2, and d) core at the bottom of the gully channel of
TEG2. While delineations were used to mark the transitions between the frozen part of the active layer, the transient layer, and
the intermediate layer, color gradients were also used to denote the uncertainty in the limits between these layers. 300 95
Figure 6. Organic matter content (OMC; %), soil composition (SC; %gravel, %sand, %silt), soil stratigraphy, CT-scan imagery,
soil cryostratigraphy, volumetric ice content (VIC; %), and geocryological layers for the boreholes at TEG2. a) Cores in 295 Figure 6. Organic matter content (OMC; %), soil composition (SC; %gravel, %sand, %silt), soil stratigraphy, CT-scan imagery,
soil cryostratigraphy, volumetric ice content (VIC; %), and geocryological layers for the boreholes at TEG2. a) Cores in
undisturbed polygons, b) cores in drained polygons, c) cores in slopes of TEG2, and d) core at the bottom of the gully channel of
TEG2. While delineations were used to mark the transitions between the frozen part of the active layer, the transient layer, and
the intermediate layer, color gradients were also used to denote the uncertainty in the limits between these layers. 00 https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. 18 Suspended cryostructures
were often found with grading cryostructures (e.g., reticulate, layered) before and/or after them leading to lower VIC. This reflect the surface conditions (e.g., water availability) during their formation (Paquette et al., 2022). 320
Except for the isolated ice lenses, the suspended and organic matrix cryostructures had the highest VICwa. The
suspended cryostructure predominantly (>80%) formed in silty sediment, which is consistent with ice segregation during
periods of rapid sedimentation of fine sediments and sustained water availability (Murton, 2013). Suspended cryostructures
were often found with grading cryostructures (e.g., reticulate, layered) before and/or after them leading to lower VIC. This suggests an acceleration and/or slowing down of ice segregation and thus of sedimentation during their formation, or that
325
two freezing fronts contributed to the formation of the cryostructures. Organic matrix cryostructures were found in similar
proportions in peaty sandy silt (60%) and peaty silty sand (40%), thus making the presence of organic material rather than a
specific sediment size the main factor of formation. suggests an acceleration and/or slowing down of ice segregation and thus of sedimentation during their formation, or that
325
two freezing fronts contributed to the formation of the cryostructures. Organic matrix cryostructures were found in similar
proportions in peaty sandy silt (60%) and peaty silty sand (40%), thus making the presence of organic material rather than a
specific sediment size the main factor of formation. 5.1.1 Cryostructures Our results show that the development of cryostructures was largely influenced by soil composition and the stratigraphic
sequences. The cold climate and permafrost at our study site also significantly affected freezing processes and thus the
305
formation of the cryostructures. Here were present a more detailed description of four out of 11 cryostructures as those four
accounted for 76% of all cryostructures occurrences while most of the other ones accounted for <5%. 305 19 https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. The reticulate cryostructure was the most abundant one and formed almost exclusively in sandy silt, resulting in
VICwa similar to what others have reported (Kanevskiy et al., 2013; Shur et al., 2021; Thévenin, 2023). Since permafrost in
the study area is syngenetic, reticulate cryostructures likely formed by the hydraulic fracturing of the sediment ahead of an
310
advancing freezing front followed by infilling of the resulting fractures with expelled and pressurized pore water (McRoberts
and Nixon, 1975). Layered cryostructures formed in both predominantly silty (62%) and sandy (38%) sediments, though
more well-developed (thicker) ice layers were generally found in silty sediment (e.g., TEG1-3Undist), reflecting how ice
segregation was facilitated in finer sediments. They likely formed due to prolonged periods of ice segregation when the thaw front was stationary and water was available, mirroring sediment deposition patterns, and consistent with syngenetic
315
permafrost (French and Shur, 2010). Both the reticulate and layered cryostructures had a wide VIC range. While all
cryostructures showed some variability in VIC, the reticulate and layered cryostructures were the most affected because of
the variability in the thickness of the ice lattices (reticulate) or lenses (layered). Depending on the saturation of the host
sediments, those cryostructures can be observed as much in ice-rich sediments as in sediment-poor ice in permafrost and
fl
t th
f
diti
(
t
il bilit ) d
i
th i f
ti
(P
tt
t l 2022)
320 front was stationary and water was available, mirroring sediment deposition patterns, and consistent with syngenetic
315
permafrost (French and Shur, 2010). Both the reticulate and layered cryostructures had a wide VIC range. While all
cryostructures showed some variability in VIC, the reticulate and layered cryostructures were the most affected because of
the variability in the thickness of the ice lattices (reticulate) or lenses (layered). Depending on the saturation of the host
sediments, those cryostructures can be observed as much in ice-rich sediments as in sediment-poor ice in permafrost and reflect the surface conditions (e.g., water availability) during their formation (Paquette et al., 2022). 320
Except for the isolated ice lenses, the suspended and organic matrix cryostructures had the highest VICwa. The
suspended cryostructure predominantly (>80%) formed in silty sediment, which is consistent with ice segregation during
periods of rapid sedimentation of fine sediments and sustained water availability (Murton, 2013). 5.1.2 Cryostratigraphic patterns Most of the cryostructures in this study developed with syngenetic permafrost aggradation, irrespective of their position with
330
regards to the TEG. In general, we observed that the inclusion of organic matter in the soil profiles largely affected the
cryostratigraphy due to the peaty material promoting ice aggradation below it. This was observed in cores from both TEG
where it was common to see suspended, reticulate, layered, and isolated ice lens cryostructures either directly or 10-20 cm
below the organic matter inclusion. This suggests that when organic matter accumulated, the top of permafrost not only moved up due to the new material accumulating (syngenetic permafrost growth), but also because of the low thermal
335
conductivity of organic matter compared to mineral sediment (Andersland and Ladanyi, 2004), which promoted ice
enrichment in the layers below. Organic layers at depth also promoted ice enrichment in the mineral sediment above them by
slowing down the progression of the thaw front and thus facilitating ice segregation. The cryostratigraphy of the cores in undisturbed polygons (except TEG1-1Undist) reflected the conditions during
permafrost formation, i.e., reticulate, layered, and suspended cryostructures forming in fine-grained aeolian sediment
340 20 It is also possible that permafrost recovery leads to ice enrichment in more concentrated layers instead of
throughout the entire permafrost column near the surface. However, new deeper cores would be necessary to confirm this. Second, drainage of the polygons bordering the TEG could also cause ice enrichment, specifically near the surface. This patterns deserve attention. First, looking at the cryostratigraphy beyond 1 m deep shows that re-aggradation of cold
360
permafrost following a disturbance may lead to ice enrichment, i.e., the recovery from the disturbance may lead to more ice
than initially. It is also possible that permafrost recovery leads to ice enrichment in more concentrated layers instead of
throughout the entire permafrost column near the surface. However, new deeper cores would be necessary to confirm this. Second, drainage of the polygons bordering the TEG could also cause ice enrichment, specifically near the surface. This could be a stabilization mechanism preventing further TEG enlargement. Finally, the slope cores had less peaty/organic
365
material than at other positions because it was likely eroded away during the formation of the TEG. Although permafrost re-
aggradation promoted ice enrichment in the mineral sediment, the slopes are now prone to greater thaw subsidence as
organic material requires an external load to cause thaw settlement comparable to mineral soil with similar VIC (Kanevskiy
et al., 2012). could be a stabilization mechanism preventing further TEG enlargement. Finally, the slope cores had less peaty/organic
365
material than at other positions because it was likely eroded away during the formation of the TEG. Although permafrost re-
aggradation promoted ice enrichment in the mineral sediment, the slopes are now prone to greater thaw subsidence as
organic material requires an external load to cause thaw settlement comparable to mineral soil with similar VIC (Kanevskiy
et al., 2012). could be a stabilization mechanism preventing further TEG enlargement. Finally, the slope cores had less peaty/organic
365
material than at other positions because it was likely eroded away during the formation of the TEG. Although permafrost re-
aggradation promoted ice enrichment in the mineral sediment, the slopes are now prone to greater thaw subsidence as
organic material requires an external load to cause thaw settlement comparable to mineral soil with similar VIC (Kanevskiy
et al., 2012). https://doi.org/10.5194/egusphere-2024-208
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c⃝Author(s) 2024. CC BY 4.0 License. coupled with layers of organic layers promoting ice enrichment below them. Some of the cores in drained polygons (TEG1-
3Drained, TEG2-1Drained, TEG2-2Drained) also showed an ice-rich layer closer to the surface than in undisturbed polygons, which
we attribute to permafrost aggradation after polygon drainage. This is supported by our TFD measurements at TEG1
showing shallower TFD on the shoulders of the TEG, by Godin et al. (2016) who noted that drained polygons had a thinner
active layer causing upward (syngenetic) permafrost aggradation, and by Veillette’s (2019) results showing general uplifting
345
of the drained polygons along TEG2. In the slopes, the high values of TFD at TEG1 showed that after formation of the TEG,
the slopes experience greater thawing than in natural conditions. This can be explained by the lack of vegetation protecting
the ground surface from air convection and solar radiation which, after vegetation colonization, is substantially reduced. This
is supported by the TFD at TEG2 where the slopes have values similar to undisturbed conditions. The oblique streaks of 345 bubbles and inclined ice layers indicated that the permafrost table moved up following an inclined plane likely parallel to the
350
slope surface during permafrost aggradation. For the core at the bottom of the gully channel, the stratigraphy and
cryostratigraphy suggest that after the initial accumulation of coarser alluvial sediment, finer alluvial sediment accumulated
relatively quickly, which led to rapid ice segregation. Based on the type of cryostructure (e.g., suspended, well-developed reticulate) and their high VIC, we estimate that
permafrost was able to re-aggrade relatively quickly and with sufficient water following stabilization of the TEG. We
355
attribute this to the low permafrost temperatures of the study site (Allard et al., 2020), which promoted permafrost
aggradation upward following TEG stabilization. There was ice enrichment in all sections affected by the TEG (drained,
slope, bottom of the gully channel), which led to ice contents similar to undisturbed conditions. Though there was no
statistical difference in VICwa between the position of cores in the TEG, between the TEG or between the sub-sites, some patterns deserve attention. First, looking at the cryostratigraphy beyond 1 m deep shows that re-aggradation of cold
360
permafrost following a disturbance may lead to ice enrichment, i.e., the recovery from the disturbance may lead to more ice
than initially. They form a protective layer against annual thawing that would require a strong disturbance at the
380
surface to be degraded (Kanevskiy et al., 2016, 2017) and thus contribute to the long-term stabilization of the TEG. Finally, buried intermediate layers were interpreted in most of the TEG2 cores, but only in TEG1-2Undist, TEG1-
2Slope, and TEG1-2Drained at TEG1. Those intermediate layers were interpreted as buried because they represented different
sequences of permafrost aggradation. In most cases, the buried intermediate layers were located under a layer of organic sequences of permafrost aggradation. In most cases, the buried intermediate layers were located under a layer of organic
sediment, which promoted ice-enrichment in the mineral sediment below. Then, new mineral sediment accumulated over the
385
organic layer and were part of the active layer, until organic matter started to accumulate again. This resulted in the gradual
decrease in active layer thickness, i.e., permafrost aggradation and formation of aggradational ice (Mackay, 1972; Burn,
1988; French and Shur, 2010), which led to the formation of a new intermediate layer in the mineral sediment below the
newly accumulated organic matter. sediment, which promoted ice-enrichment in the mineral sediment below. Then, new mineral sediment accumulated over the
385
organic layer and were part of the active layer, until organic matter started to accumulate again. This resulted in the gradual
decrease in active layer thickness, i.e., permafrost aggradation and formation of aggradational ice (Mackay, 1972; Burn,
1988; French and Shur, 2010), which led to the formation of a new intermediate layer in the mineral sediment below the
newly accumulated organic matter. 5.1.3 Geocryological layers
370 All cores were characterized by a transient layer, which we expected because it is the result of the interannual variations in
the ALT and all sites experience it (Shur, 1988; Shur et al., 2005; French and Shur, 2010). Most of the cores were interpreted
to have an intermediate layer, except for TEG1-1Undist and TEG1-1Slope. Those two cores were both characterized by coarser 21 https://doi.org/10.5194/egusphere-2024-208
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c⃝Author(s) 2024. CC BY 4.0 License. sediments than in other cores, resulting in higher hydraulic conductivities and therefore less water to form ice-rich layers. The average depth of the top of the intermediate layers from cores in drained polygons and slopes was shallower than in
375
undisturbed conditions, especially in the slope cores where the intermediate layers were also thicker. In drained polygons,
this is consistent with the permafrost table moving up after the formation of a TEG causing drainage of the bordering
polygons and their uplifting. For the slopes and TEG2BGC, the increased thickness of the combined transient and intermediate
layers suggests that permafrost recovery following TEG stabilization can increase permafrost resilience to thawing compared The average depth of the top of the intermediate layers from cores in drained polygons and slopes was shallower than in
375
undisturbed conditions, especially in the slope cores where the intermediate layers were also thicker. In drained polygons,
this is consistent with the permafrost table moving up after the formation of a TEG causing drainage of the bordering
polygons and their uplifting. For the slopes and TEG2BGC, the increased thickness of the combined transient and intermediate
layers suggests that permafrost recovery following TEG stabilization can increase permafrost resilience to thawing compared to natural conditions. They form a protective layer against annual thawing that would require a strong disturbance at the
380
surface to be degraded (Kanevskiy et al., 2016, 2017) and thus contribute to the long-term stabilization of the TEG. Finally, buried intermediate layers were interpreted in most of the TEG2 cores, but only in TEG1-2Undist, TEG1-
2Slope, and TEG1-2Drained at TEG1. Those intermediate layers were interpreted as buried because they represented different
sequences of permafrost aggradation. In most cases, the buried intermediate layers were located under a layer of organic to natural conditions. They form a protective layer against annual thawing that would require a strong disturbance at the
380
surface to be degraded (Kanevskiy et al., 2016, 2017) and thus contribute to the long-term stabilization of the TEG. Finally, buried intermediate layers were interpreted in most of the TEG2 cores, but only in TEG1-2Undist, TEG1-
2Slope, and TEG1-2Drained at TEG1. Those intermediate layers were interpreted as buried because they represented different
sequences of permafrost aggradation. In most cases, the buried intermediate layers were located under a layer of organic to natural conditions. 5.2 Landscape evolution following thermo-erosion gullying
390 However, hydrological
400
disturbances and changes in environmental conditions can reactivate geomorphological processes and cause further stage I
degradation as the lack of a developed intermediate layer reduces the capacity of permafrost to withstand disturbances. If
stabilization persists, the TEG enters a new state of the periglacial landscape. At stage III, the TEG is stabilized, and even though
the permafrost thermal regime and ground ice content have recovered to conditions similar to stage 0, the TEG has caused long-
lasting geomorphological and hydrological changes to the landscape. 405 Figure 7. Conceptual model of thermo-erosion gully (TEG) evolution in cold permafrost. At stage 0, the polygonal network has
well-developed ice wedges that can withstand some thermal erosion, until a threshold is surpassed and causes a TEG to form. At
stage I, the thermal regime and geomorphological processes are in disequilibrium, which causes high rates of degradation. As the
TEG reaches new thermal, hydrological, and geomorphological equilibria, geomorphological processes slow down, and
stabilization begins. At stage II, stabilization takes place and the channel angularity gradually decreases. However, hydrological
400
disturbances and changes in environmental conditions can reactivate geomorphological processes and cause further stage I
degradation as the lack of a developed intermediate layer reduces the capacity of permafrost to withstand disturbances. If
stabilization persists, the TEG enters a new state of the periglacial landscape. At stage III, the TEG is stabilized, and even though
the permafrost thermal regime and ground ice content have recovered to conditions similar to stage 0, the TEG has caused long-
lasting geomorphological and hydrological changes to the landscape. 405 400 lasting geomorphological and hydrological changes to the landscape. 405 5.2 Landscape evolution following thermo-erosion gullying
390 By investigating a recent and a stable TEG in the High Arctic, we were able to identify and characterize the main processes
of formation and stabilization of a TEG and the long-term impacts of thermal erosion in ice-rich polygonal tundra. We
summarize these processes in a conceptual model describing three main stages of TEG formation and stabilization in our
study area (Figure 7). The following sections describe each stage in detail. 22 22 5
Figure 7. Conceptual model of thermo-erosion gully (TEG) evolution in cold permafrost. At stage 0, the polygonal network has
well-developed ice wedges that can withstand some thermal erosion, until a threshold is surpassed and causes a TEG to form. At
stage I, the thermal regime and geomorphological processes are in disequilibrium, which causes high rates of degradation. As the
https://doi.org/10.5194/egusphere-2024-208
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c⃝Author(s) 2024. CC BY 4.0 License. https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. https://doi.org/10.5194/egusphere-2024-208
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c⃝Author(s) 2024. CC BY 4.0 License. of thermo-erosion gully (TEG) evolution in cold permafrost. At stage 0, the polygonal network has
t can withstand some thermal erosion, until a threshold is surpassed and causes a TEG to form. At
nd geomorphological processes are in disequilibrium, which causes high rates of degradation. As the
hydrological, and geomorphological equilibria, geomorphological processes slow down, and
II, stabilization takes place and the channel angularity gradually decreases. However, hydrological
environmental conditions can reactivate geomorphological processes and cause further stage I
developed intermediate layer reduces the capacity of permafrost to withstand disturbances. If
G enters a new state of the periglacial landscape. At stage III, the TEG is stabilized, and even though
e and ground ice content have recovered to conditions similar to stage 0, the TEG has caused long-
hydrological changes to the landscape. phere 2024 208
14 March 2024
.0 License. 395 Figure 7. Conceptual model of thermo-erosion gully (TEG) evolution in cold permafrost. At stage 0, the polygonal network has
well-developed ice wedges that can withstand some thermal erosion, until a threshold is surpassed and causes a TEG to form. At
stage I, the thermal regime and geomorphological processes are in disequilibrium, which causes high rates of degradation. As the
TEG reaches new thermal, hydrological, and geomorphological equilibria, geomorphological processes slow down, and
stabilization begins. At stage II, stabilization takes place and the channel angularity gradually decreases. https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. and intermediate layers act as buffers against disturbances due to the high latent heat of fusion of ice (Jorgenson et al., 2010;
Andersland and Ladanyi, 2004), and cold permafrost promotes rapid recovery. However, a change in surface conditions
(e.g., polygon drainage), a disturbance (e.g., heavy rainfalls, above average snow accumulation leading to increased
snowmelt, catastrophic lake drainage), or a shift in climate conditions (e.g., more precipitations, warmer air temperatures
increasing permafrost temperature) can trigger additional runoff and increase the power of thermal erosion, eventually
surpassing a threshold (e.g., tunnel collapse) and forming a TEG (Figure 7, Stage I). 415 5.2.2 Stage I: Degradation and disequilibrium This first stage of thermo-erosion gullying is characterized by major geomorphic, hydrolog This transitional stage is unstable and undergoes rapid changes through positive feedbacks caused by thermal erosion of ice
420
wedges and of the channel, thaw slumping, collapse of active layer and tunnel overhangs, slope failure, and mudflows to
reach a new equilibrium (Godin and Fortier, 2012b; Godin et al., 2016; Fortier et al., 2007). This translates into a box-shaped
channel with unstable slopes and multiple ramifications, sometime forming baydzherakhi. Thermal erosion also progresses
vertically into ice wedges and permafrost until it reaches its base level or enough sediment is deposited at the bottom of the newly formed stream (French, 2007). Then, lateral thermal erosion occurs and contributes to enlarge the TEG channels
425
(Morgenstern et al., 2021). Thermokarst mounds become increasingly affected by thermal erosion and thermokarst
degradation due to the increased surface area when isolated and are eventually completely eroded from the main channel if
erosion persists. newly formed stream (French, 2007). Then, lateral thermal erosion occurs and contributes to enlarge the TEG channels
425
(Morgenstern et al., 2021). Thermokarst mounds become increasingly affected by thermal erosion and thermokarst
degradation due to the increased surface area when isolated and are eventually completely eroded from the main channel if
erosion persists. During this stage, sediment export is high because of the active erosion and collap During this stage, sediment export is high because of the active erosion and collapsed material being remobilized
downstream in low gradient areas of the TEG channel (Godin and Fortier, 2012b; Rioux, 2020). The uncovered ground
430
material in the TEG becomes exposed to solar radiation and atmospheric heat, which both contribute to erosion, even
without running water (i.e., thermal erosion) (Fortier et al., 2007). In addition, the thaw front can penetrate deeper into
permafrost due to the lack of protective cover, causing degradation of the transient and intermediate layers of the slopes and
bottom of the gully channel. 5.2.1 Stage 0: Undisturbed polygonal network In areas with cold continuous syngenetic permafrost where thick transient and intermediate layers have developed,
permafrost is well-protected against interannual climatic variations and meteorological events (Kanevskiy et al., 2017; Shur
et al., 2005). Indeed, the infiltration of surface runoff water from snowmelt, summer precipitation, or thawing permafrost In areas with cold continuous syngenetic permafrost where thick transient and intermediate layers have developed,
permafrost is well-protected against interannual climatic variations and meteorological events (Kanevskiy et al., 2017; Shur
et al., 2005). Indeed, the infiltration of surface runoff water from snowmelt, summer precipitation, or thawing permafrost
(French, 2007) into open thermal contraction cracks and other types of cavities followed by thermal erosion of permafrost
410
and ice wedges may be occurring on an annual basis, but not necessarily lead to gullying (Figure 7, Stage 0). The transient et al., 2005). Indeed, the infiltration of surface runoff water from snowmelt, summer precipitation, or thawing permafrost
(French, 2007) into open thermal contraction cracks and other types of cavities followed by thermal erosion of permafrost
410
and ice wedges may be occurring on an annual basis, but not necessarily lead to gullying (Figure 7, Stage 0). The transient (French, 2007) into open thermal contraction cracks and other types of cavities followed by thermal erosion of permafrost
410
and ice wedges may be occurring on an annual basis, but not necessarily lead to gullying (Figure 7, Stage 0). The transient 23 It is important to note that not all sections of a TEG are at the same stage simultaneously and that sections of a TEG can go
450
back and forth between stages I and II. Once the slopes of the TEG are vegetated and the gully no longer experiences
erosion, the permafrost environment supporting the TEG reaches a new state. 5.2.3 Stage II: Stabilization and transition to a new state
435 While TEG inception can occur within a single thawing season, it often takes several decades for erosion, mass movement,
thermokarst, and sediment export to decrease, at which point stabilization can begin (Figure 7, Stage II). Over time, slope
angularity of the TEG decreases (Godin and Fortier, 2010), which contributes to reduce mass movements. In addition,
alluvial sediment deposited on the sides of main channel of the TEG can form alluvial levees that reduce gully wall While TEG inception can occur within a single thawing season, it often takes several decades for erosion, mass movement,
thermokarst, and sediment export to decrease, at which point stabilization can begin (Figure 7, Stage II). Over time, slope
angularity of the TEG decreases (Godin and Fortier, 2010), which contributes to reduce mass movements. In addition,
alluvial sediment deposited on the sides of main channel of the TEG can form alluvial levees that reduce gully wall
mechanical erosion by water (Godin and Fortier, 2012b). As the slopes become stable and erosion winds down, permafrost
440
re-aggradation takes place and vegetation starts to colonize exposed ground in the TEG. This creates a negative feedback on
t
d
t
f
th
f
t
d ti
b
hi ldi
th
d
f
f
i
i
l
di ti alluvial sediment deposited on the sides of main channel of the TEG can form alluvial levees that reduce gully wall
mechanical erosion by water (Godin and Fortier, 2012b). As the slopes become stable and erosion winds down, permafrost
440
re-aggradation takes place and vegetation starts to colonize exposed ground in the TEG. This creates a negative feedback on
mass movement and promotes further permafrost aggradation by shielding the ground surface from incoming solar radiation
and insulating it from atmospheric heat. The breaching and collapsing of the rims of the polygons encompassing the TEG mechanical erosion by water (Godin and Fortier, 2012b). As the slopes become stable and erosion winds down, permafrost
440
re-aggradation takes place and vegetation starts to colonize exposed ground in the TEG. This creates a negative feedback on
mass movement and promotes further permafrost aggradation by shielding the ground surface from incoming solar radiation
and insulating it from atmospheric heat. The breaching and collapsing of the rims of the polygons encompassing the TEG 24 https://doi.org/10.5194/egusphere-2024-208
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c⃝Author(s) 2024. CC BY 4.0 License. also contribute to TEG stabilization (Godin and Fortier, 2012b; Godin et al., 2016). Active-layer and pond drainage of
breached low-centered polygons creates a dry porous top layer with reduced thermal conductivity (Fortier et al., 2007)
445
resulting in a thinning of the active layer on the shoulders of the gully. This causes a shift in vegetation (Perreault et al.,
2016), from wet to mesic, which also contributes to decrease thermal conductivity and active layer thickness, resulting in
thin transient and intermediate layers form closer to the surface than in undisturbed conditions. This ice enrichment
contributes to increase the thermal resistance of the encompassing polygons and thus to reduce further widening of the TEG. also contribute to TEG stabilization (Godin and Fortier, 2012b; Godin et al., 2016). Active-layer and pond drainage of
breached low-centered polygons creates a dry porous top layer with reduced thermal conductivity (Fortier et al., 2007)
445
resulting in a thinning of the active layer on the shoulders of the gully. This causes a shift in vegetation (Perreault et al.,
2016), from wet to mesic, which also contributes to decrease thermal conductivity and active layer thickness, resulting in
thin transient and intermediate layers form closer to the surface than in undisturbed conditions. This ice enrichment
contributes to increase the thermal resistance of the encompassing polygons and thus to reduce further widening of the TEG. breached low-centered polygons creates a dry porous top layer with reduced thermal conductivity (Fortier et al., 2007)
445
resulting in a thinning of the active layer on the shoulders of the gully. This causes a shift in vegetation (Perreault et al.,
2016), from wet to mesic, which also contributes to decrease thermal conductivity and active layer thickness, resulting in
thin transient and intermediate layers form closer to the surface than in undisturbed conditions. This ice enrichment
contributes to increase the thermal resistance of the encompassing polygons and thus to reduce further widening of the TEG. It is important to note that not all sections of a TEG are at the same stage simultaneously and that sections of a TEG can go
450
back and forth between stages I and II. Once the slopes of the TEG are vegetated and the gully no longer experiences
erosion, the permafrost environment supporting the TEG reaches a new state. 5.2.4 Stage III: New state of the periglacial landscape and permafrost resilience The formation of TEG has profound impacts on ice-wedge polygonal networks, permanen The formation of TEG has profound impacts on ice-wedge polygonal networks, permanently (at the Anthropocene time
scale) altering landscape morphology and ecosystem functions (Figure 7, Stage III). The stabilized TEG has now evolved
455
into a thermo-erosional valley (Morgenstern et al., 2021) characterized by a broad, densely vegetated main channel with
stable low-angle slopes and limited ramifications. Despite alluvial sedimentation at the bottom of the gully channel, the base
level of the gully is now lower than the surrounding polygons, thus affecting local hydrological connectivity. The low-
centered polygons along the margins of the TEG have changed into raised flat/high-centered ones due to their drainage. The changes in their thermal properties caused a thinning of the active layer and ground ice aggradation, ultimately raising the
460
polygons and further affecting local hydrological patterns. In this new state, even though the TEG has caused long-lasting geomorphological and hydrological changes to the
landscape, the permafrost affected by the TEG can recover to conditions similar to undisturbed permafrost pre-dating the
disturbance, i.e., similar ground ice content and temperature, and thus is resilient. However, permafrost re-aggradation now ,
,
g
p
,
, p
gg
leads to the formation of thicker intermediate layers in areas that have been the most disturbed, i.e., the slopes and bottom of
465
the gully channel. Thermal contraction cracking can resume following the same pre-disturbance network, causing ice-wedge
formation or rejuvenation (Lewkowicz, 1994; Gagnon and Allard, 2019). While permafrost shows resilience, the local
landscape does not because it has surpassed thresholds of recovery to pre-disturbance conditions. From a landscape-
evolution perspective, this suggests that in stable environmental conditions undergoing natural variability, permafrost is able leads to the formation of thicker intermediate layers in areas that have been the most disturbed, i.e., the slopes and bottom of
465
the gully channel. Thermal contraction cracking can resume following the same pre-disturbance network, causing ice-wedge
formation or rejuvenation (Lewkowicz, 1994; Gagnon and Allard, 2019). While permafrost shows resilience, the local
landscape does not because it has surpassed thresholds of recovery to pre-disturbance conditions. From a landscape-
evolution perspective, this suggests that in stable environmental conditions undergoing natural variability, permafrost is able to persist longer than the geomorphological landforms in which it forms. https://doi.org/10.5194/egusphere-2024-208
Preprint. Discussion started: 14 March 2024
c⃝Author(s) 2024. CC BY 4.0 License. 6. Conclusion 490 rich geocryological layers and cold ground temperatures played a significant role in the inception and stabilization of the
485
TEG by both buffering against smaller disturbances and promoting permafrost aggradation following thermal erosion. Once
stabilized, the TEG was in a new state characterized by long-lasting geomorphological and hydrological changes to the
landscape, but is able to recover to pre-disturbance geocryological and thermal conditions, showing that permafrost is more
resilient to thermal erosion disturbances than surface geomorphology. This suggests that in stable environmental conditions
undergoing natural variability, permafrost can persist longer than the geomorphological landforms in which it forms. 490 The contact author has declared that none of the authors has any competing interests. The contact author has declared that none of the authors has any competing interests. 8. Acknowledgements We thank Karine Rioux and Stéphanie Coulombe for their help during fieldwork. We also thank the Centre for Northern
Studies for providing access and logistical support to its research station. We are also grateful to the Natural Sciences and
495
Engineering Research Council of Canada, Parks Canada, Fonds de recherche du Québec - Nature et technologie, Northern
Scientific Training Program and the Polar Continental Shelf Program (PCSP). Abbott, B. W., Jones, J. B., Godsey, S. E., Larouche, J. R., and Bowden, W. B.: Patterns and persistence of hydrologic
carbon and nutrient export from collapsing upland permafrost, Biogeosciences, 12, 3725–3740, https://doi.org/10.5194/bg-
500
12-3725-2015, 2015. 5.2.4 Stage III: New state of the periglacial landscape and permafrost resilience This adds to the stabilizing effect of thermal
470
erosion on tundra landscapes, which levels gradients and limits thermokarst processes by enhancing hydrological
connectivity (Morgenstern et al., 2021). to persist longer than the geomorphological landforms in which it forms. This adds to the stabilizing effect of thermal
470
erosion on tundra landscapes, which levels gradients and limits thermokarst processes by enhancing hydrological
connectivity (Morgenstern et al., 2021). to persist longer than the geomorphological landforms in which it forms. This adds to the stabilizing effect of thermal
470
erosion on tundra landscapes, which levels gradients and limits thermokarst processes by enhancing hydrological
connectivity (Morgenstern et al., 2021). 25 6. Conclusion This study investigated the impacts of two TEGs in the Canadian High Arctic on ground ice content, cryostratigraphic
patterns, and geomorphology to examine permafrost recovery following thermal erosion in ice-wedge polygonal tundra. Our
475
results concurred with other research showing that thermal erosion affects hydrological connectivity, snow accumulation
patterns and snowmelt dynamics, changes vegetation, causes the remobilization of soil material and nutrients, and showed
that once stabilized, TEG permanently (at the Anthropocene scale) alter landscape morphology and ecosystem functions. In
addition to the gully channel, the polygons bordering the TEG evolved from wet low-centered to dry/high-centered, causing changes in the ground thermal properties and ultimately leading to ice aggradation and raising the polygons. This
480
cryostratigraphic pattern, in addition to vegetation colonization and decrease in slope angularity, were interpreted as
stabilization mechanisms leading to permafrost aggradation and TEG stabilization. The study also reported the first VIC
values in the slopes and at the bottom of the gully channel of TEG. Although the TEG caused discernable cryostratigraphic
patterns, the ice contents in the cores affected by the TEG were comparable to undisturbed polygons. The presence of ice- changes in the ground thermal properties and ultimately leading to ice aggradation and raising the polygons. This
480
cryostratigraphic pattern, in addition to vegetation colonization and decrease in slope angularity, were interpreted as
stabilization mechanisms leading to permafrost aggradation and TEG stabilization. The study also reported the first VIC
values in the slopes and at the bottom of the gully channel of TEG. Although the TEG caused discernable cryostratigraphic
patterns, the ice contents in the cores affected by the TEG were comparable to undisturbed polygons. The presence of ice- rich geocryological layers and cold ground temperatures played a significant role in the inception and stabilization of the
485
TEG by both buffering against smaller disturbances and promoting permafrost aggradation following thermal erosion. Once
stabilized, the TEG was in a new state characterized by long-lasting geomorphological and hydrological changes to the
landscape, but is able to recover to pre-disturbance geocryological and thermal conditions, showing that permafrost is more
resilient to thermal erosion disturbances than surface geomorphology. This suggests that in stable environmental conditions
undergoing natural variability, permafrost can persist longer than the geomorphological landforms in which it forms. 9. References Abbott, B. W., Jones, J. B., Godsey, S. E., Larouche, J. R., and Bowden, W. B.: Patterns and persistence of hydrologic
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91 pp., 2019. 655 31
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Principal Leadership as a Quality Culture Motivator
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At-Tasyrih Jurnal Pendidikan dan Hukum Islam, 7(1) - June 2021 38-50
Principal Leadership as a Quality Culture Motivator
Mustajab 1, Chuen Lee 2, Jansee 3
1
Institut Agama Islam Nahdlatul Ulama, Indonesia
2
The Education University of Hong Kong, Hong Kong
3
University of Santo Thomas, Country
Corresponding Author: Mustajab,
E-mail; musta.dewey@gmail.com
Received: June 01, 2021 Revised: June 05, 2021 Accepted: June 11, 2021
Online: June 11, 2023
ABSTRACT
Quality improvement is becoming increasingly important for an educational institution as an effort to
gain better control through its actions. The principal is a leader with the authority to regulate everything
in a school institution. For the duties and responsibilities of school leaders to become real, presumably,
school principals need to understand, explore and apply several concepts of management science first these have been developed by thinkers in the business world, namely TQM (Total Quality Management)
or Integrated Quality Management - later applied in education. Implementation of education needs to pay
attention to the characteristics, aspirations, and needs of the community. Education should be able to
provide a contextual response according to the global context. In other words, various efforts to bring
together multiple parties with interests or stakeholders so that access to the formulation of policies and
decision-making concerning equity and expansion of services, quality, relevance, and efficiency of
education management.
Keywords: Education, Principal, Quality
Journal Homepage
https://ejournal.iainbatanghari.ac.id/index.php/attasyrih/index
This is an open-access article under the CC BY SA license.
https://creativecommons.org/licenses/by-sa/4.0/
How to cite:
Mustajab, Mustajab., Lee, C., Jansee, Jansee. (2021). Principal Leadership as a Quality
Culture Motivator. At-Tasyrih: Jurnal Pendidikan dan Hukum Islam, 7(1), 38-50.
https://doi.org/10.55849/attasyrih.v7i1.128
Published by:
Pusat Penelitian dan Pengabdian Masyarakat, Institut Agama Islam Nusantara Batang Hari
INTRODUCTION
Today's development of school management thinking leads to a management system
called Total Quality Management or TQM. Quality improvement is becoming increasingly
important for an educational institution as an effort to gain better control through its
efforts (Viner dkk., 2020). Especially now that there is a demand for educational
institutions to be able to provide quality educational services for students.
In addition to the problems above (Qureshi dkk., 2022), education should be able to
provide a contextual response following the orientation of regional development (Xia
dkk., 2019). In other words, various efforts to bring multiple parties with interests or
stakeholders closer together so that access to policy formulation and decision-making
related to equity and expansion of services, quality, relevance, and efficiency of education
management is very justified.
At-Tasyrih: Jurnal Pendidikan dan Hukum Islam
Principal Leadership as a Quality Culture Motivator
In the era of school independence and School-Based Management (SBM), the
school principal is the first and foremost task and responsibility (Kartel dkk., 2022).
Because the principal, as a leader, has the authority to regulate everything in a school
institution (Keshav dkk., 2022). For the duties and responsibilities of school leaders to
become real, presumably, school principals need to understand, explore and apply several
concepts of management science first - these have been developed by thinkers in the
business world, namely TQM (Total Quality Management) or Integrated Quality
Management - later applied in education.
For a school institution, the principal is not everything, but everything requires the
role of a school principal. But what is more profound in this paper is to see the figure of a
quality school principal. For this reason, where to find/build a quality school principal will
be known. Not then the 'fake' principal who is present in educational institutions.
RESEARCH METHODOLOGY
The research method used in this study is a qualitative descriptive analysis method
and qualitative data analysis procedures, namely collecting data from several research
journals that focus on research topics (Dewi S dkk., 2022). The success of scientific
research can be determined by the validity of the data and the methods used in the study
(Hikmah dkk., 2022). We use literature research and a descriptive qualitative approach in
the form of problem finding and detailed development of certain events through research
results or theories based on philosophical analysis studies (Anoum dkk., 2022). The data
collection technique is a secondary data collection technique in which data can be quoted
or obtained from several sources through books, research results, journals, articles, and
other documents related to this research.
RESULT AND DISCUSSION
The concept of a Quality Principal
In the formal sense that the principal is defined as a functional teacher who is given
the task of leading a school where the teaching-learning process is held or a place where
there is interaction between the teacher who gives the lesson and the students who receive
the address (Ilham dkk., 2022). At the same time, Quality is the nature of objects and
services (McGinnis dkk., 2019). According to Arcaro, that quality is a structured process
to improve the output produced. Quality education creates an environment for educators,
parents, government officials, community representatives, and business people to work
together to provide opportunities and hopes for students' futures.
Leaders need to have personal characteristics that include drive, motivation to lead,
honesty
and integrity
(Hartini
dkk., 2022), self-confidence, initiative,
creativity/originality, adaptability/flexibility, cognitive ability, knowledge, and charisma
(Nopiana dkk., 2022). Leaders' managerial qualities must inspire all levels of Management
to demonstrate the leadership qualities needed to develop a TQM culture (Hwangbo dkk.,
2019). Therefore, the direct involvement of leaders of educational institutions is
significant.
39
Principal Leadership as a Quality Culture Motivator
Long-term thinking refers to the vision and mission of the institution (Rahmah dkk.,
2022). The vision and mission of the institution must be formulated and achieved jointly
by all elements within the institution, where the institution's direction will be for the long
term (Nadya dkk., 2022). An activity of staff or anyone in the institution must be able to
trace what and how much it contributes to the achievement of the vision and mission of
the institution (Cui dkk., 2019). This is where, to implement TQM (Ji dkk., 2019), it is
necessary to have a leader who has a long-term vision, can work hard, is diligent and
steadfast in carrying out the mission, is disciplined, and has a good attitude of service, for
example: caring for staff, polite and virtuous, patient, wise, friendly and willing help
others in the organization.
Awareness of quality in educational institutions depends on intangible factors (Wolf
dkk., 2020), especially the attitude of top Management (heads of secondary elementary
education institutions, school principals, and leaders of tertiary institutions/rectors)
towards the quality of education services (Nemati dkk., 2020). Attaining a quality level is
not the result of short-term implementation to increase competitiveness (Shaji dkk., 2021)
but rather through implementing TQM, which requires continuous leadership.
Leadership and Management are inseparable units. Leaders must have a far-reaching
strategic vision and great strength of will to create conducive organizational dynamics. In
contrast, managers must have intrinsic knowledge and in-depth professional judgment to
organize, direct and control corporate members.
The position of the Principal in TQM
According to Hadari Nawari, Integrated Quality Management (TQM) is functional
Management with an approach that is continuously focused on improving quality (Hirsch
dkk., 2020) so that the product conforms to the quality standards of the people served in
the implementation of public service and community development tasks (Baldwin dkk.,
2019). The concept departs from Management as a process or series of activities
integrating owned resources, which must also be combined with the phasing of the
implementation of management functions so that work is realized as a quality production
activity (Pizzi dkk., 2020). Every piece in integrated quality management must be carried
out through the stages of planning, preparation (including materials and tools), and
technical implementation using effective and efficient working methods/methods to
produce products in the form of goods or services that are beneficial to society.
In carrying out management or management functions must be someone who is
given authority. This authority is assigned to the principal in an educational institution or
school. It is this role that the principal carries out in striving for himself and his institution
to build quality education. And also the change of leadership into an upside-down
organization, as follows:
The student Teaching
team and support staff
Leader
40
Principal Leadership as a Quality Culture Motivator
CommunicationThe application of TQM is not just a management program aimed at
complementing or sweetening activities but is indeed needed to improve the quality of
work productivity. TQM must be goal-oriented so that organizational performance is more
effective. In this case, according to Thomas Packard that eight parts must be implemented
in the organization's activities which are elements that function to support each other to
form a TQM building, as below:
award
Training
teamwork
leadership
Ethics, Integrity, and
Trust
Leadership and teamwork complement each other in implementing an activity
(Dirani dkk., 2020). Loss of communication factors between sections and executors can be
a burden or obstacle to the performance of activities (Bartsch dkk., 2020). The provision
of appropriate awards for program implementers must be realized immediately after they
have finished implementing and achieving their work performance. Through
implementing TQM (Raut dkk., 2019), good quality work will be obtained, create a
comfortable working atmosphere, share mutually beneficial knowledge, and receive
awards according to performance.
Integrated Quality Management in a non-profit organization, including education,
can only be realized if it is supported by the availability of resources to discover the
quality of the process and results to be achieved. In a healthy organizational environment
(Hao dkk., 2021), various quality sources can support the full implementation of TQM.
According to Hadari Nawawi (Hao dkk., 2021), there are several sources of quality, one of
which is the commitment of the top leadership (principal) to quality (Liu dkk., 2019). This
commitment is significant because it directly affects every decision and policy making
(Marpaung dkk., 2019), selection and implementation of programs and projects,
empowerment of human resources, and implementation of controls. This commitment is
necessary to create and develop the performance of management functions that are
oriented towards the quality of products and public services.
The foundation group comprises ethics, integrity, and trust sections. Through ethics,
integrity, and honesty, TQM will form a foundation for good work. These three parts will
open and show the potential of TQM in an activity. The explanation of the three sections
is as follows:
Ethics
Ethics is a discipline regarding good and evil under any circumstances. Two subjects
need to be considered in ethics; the first is organizational ethics, namely organizational
ethics, which will determine the organization's condition through the rules that the
41
Principal Leadership as a Quality Culture Motivator
workforce must obey to produce a good performance. The second is individual ethics,
which relates to the right and wrong behavior of each individual who is part of the actor or
executor of an activity within the organization.
Integrity
Integrity embodies honesty, morals, values, fairness, obedience, and sincerity to the
organization's reality (Kayama dkk., 2020). These conditions will show a particular
characteristic, namely what (internal and external) is expected and entitled to be obtained
by the customer (Dziallas & Blind, 2019). The opposite of integrity is duplicity (not loyal
or two-faced). TQM will only work if there is consistency in the work environment.
Trust
Trust is a product of integrity and ethics. Trust is necessary for performance in TQM
to be built or realized (van Pinxteren dkk., 2019). Trust will foster the full participation of
all members of the organization. In addition to the commitment to implementing activities,
trust is needed to determine decisions at every level in the organization and bring every
individual to take risks to improve their performance to help improve the organization.
Trust is a factor that supports and guarantees user (customer) satisfaction, so it can be
interpreted that trust can build environmental cooperation to support TQM.
Communication
Communication is an interactive activity between the sender and receiver of
information (Lin dkk., 2020). The success of TQM requires communication among all
members of the organization, providers or suppliers, and users of products or services.
Supervisors or assistants must open the atmosphere so activity implementers can receive
and send information about the TQM process (Donahue dkk., 2019). Two-way
communication and sharing correct statements are expected conditions (Li dkk., 2019).
For this communication to be trusted, the message must be clear, and the recipient must
interpret it according to the flow of the sender's message.
Recognition
Awards are the final part of a TQM system and must be given to teams and
individuals who have implemented and achieved their activity objectives. Any individual
involved in an activity has shown his performance as himself and in a group. Knowing the
success of a job is the task of a companion or supervisor in the field. Appreciation can
improve or increase self-confidence, productivity, and quality in handling a job. Rewards
must be given immediately because it is the right after someone does a job.
Applying TQM in program implementation requires high commitment from
members or individuals involved. Through integration in the TQM section, it is hoped that
guarantees for the success of its activities will be obtained; the role of the school principal
is enormous because it must be able to develop, train and apply these eight sections to the
implementation of educational programs in schools. Using TQM with a foundation of
ethics, integrity, and trust will work. Training for both TQM empowerment and specific
technical skills is the key to implementing a program because it will form a work
environment that follows program objectives.
42
Principal Leadership as a Quality Culture Motivator
The Head of School as TQM Mover
In principle, this TQM management system supervises all organization members
(school residents) on school activities. So that the application here means that all school
members are responsible for the quality of education. The application of TQM requires the
involvement of all parties in the educational process, starting from school principals,
heads of administration, teachers, students, and employees to school committees, who
must understand the nature and purpose of an education which is its vision and mission. In
other words, every individual involved must understand the meaning of education. With a
thorough understanding of the individuals involved, it is possible to implement TQM.
According to Hersey and Blanchard, as quoted by Tobroni, that leadership is the
process of influencing the activities of a person or group of people to achieve goals in
certain situations. Gibson added that leadership affects the motivation or competence of
individuals in a group. While relation to TQM -according to Goetsch and Davis, that
leadership is the ability to arouse the enthusiasm of other people to be willing and have
total responsibility for efforts to achieve or exceed organizational goals. Can be described
as follows:
Intangible: Personal
Leaders, Critical attitude
toward organizational
decisions
Organization
Leader
Beliefs, Values,
Vision, and self
organizational quality
Tangible: Organizational
structure, facility
management system, formal
statements.
Picture. Series of Leaders in Forming Institutional Quality
Based on the picture above, it is explained that the quality of an institution is
influenced by the extent to which leadership can direct organizational activities, both
tangible (tangible) and intangible (actual), to build strong quality. Here a leader is required
to manage the quality elements of the institution as a manifestation in the form of beliefs,
values , and all member behavior.
Leadership or leadership is the most essential part of TQM. Leadership in TQM
requires a leader who has a vision, can make strategic directions for activities understood
by all implementers, and can provide guidance on organizational performance.
Supervisors in the activity process must understand TQM, have a commitment, and
always excel in performance as role model for other implementers. In addition, a
supervisor or activity assistant must ensure that the activity's strategy, philosophy, values ,
and objectives are conveyed throughout the organization to maintain focus and clear
direction. According to Dheeraj Mehrotra, a leader must know what students, service
users, or consumers want or will get, whether as a supervisor, teacher, school principal, or
43
Principal Leadership as a Quality Culture Motivator
activity companion. Commitment from all individuals involved is needed, from the
leadership down to the lowest level, to form and disseminate high-quality work values to
achieve the sustainability of activity objectives.
Building a Quality Culture in Schools
A school has components of teachers, students, and administrative staff, each with a
specific task in carrying out the program. As a formal educational institutions, schools
must produce graduates with specific academic abilities, skills, attitudes, mentality, and
other personalities, so they can continue to a higher level of education or work in jobs
requiring expertise and skills.
Quality-Based School Culture
According to Mulyadi, they cite the opinion of Schein, Martin, Kilmann, and Robin
that school culture is a system of meaning to foster mentality so that employees' thoughts
and actions are based on moral considerations and can be accounted for. Or in other
words, school culture is a set of assumptions built and shared by a school as morals in
adapting to the external environment and internal integration processes.
In building a quality school (TQM), school administrators' work culture,
performance, and discipline (teachers, staff, and principals) are the first to be improved.
Everyone must be able to view students as 'customers' who must be served as well as
possible for their satisfaction. School administrators are always eager to move forward,
keen to continue increasing their abilities and skills, ultimately improving their
performance in front of students. Suppose all school implementers already have a high
work culture, performance, and discipline. In that case, the implementation of TQM can
work. It will make educational organizations (schools) more advanced, exist, have a
higher brand image, and, in the end, be able to create cadres - national cadres who are
qualified and can be aligned with other nations.
In Total Quality Management (TQM) or Integrated Quality Management in
education, the ultimate goal is to improve quality and competitiveness for output
(graduates) with indicators of competency, both intellectual and skill, as well as high
social competence of students/graduates. In achieving these results, implementing TQM in
educational organizations (schools) must be done truthfully, not half-heartedly. By
utilizing all the quality entities within the organization, our education will run differently
today. The quality of our education is ranked 101st and is still below Vietnam, which
incidentally is a country that has just become independent compared to the independence
of our nation, Indonesia.
Role of School Culture
Culture has links and roles to various aspects of school life. The primary function of
school culture is to adapt to the external environment and internal integration processes.
This function is the force that drives and controls the behavior of its members, be it
teachers, employees, students, and people involved in communicating with their
environment. A strong culture plays a role in two things, namely, first, directing behavior.
All elements will understand how to act and what is expected of them. Second, a strong
culture gives a sense of purpose and makes them think positively about the institution.
44
Principal Leadership as a Quality Culture Motivator
Socialization of School Culture
Socialization of school culture is a process of adapting employees to the culture
created by the school. Cultural socialization consists of two main stages, namely, learning
and adaptation. The learning stage is when employees learn about the life patterns of
school institutions. Employees know various rules relating to the performance of duties
and institutional behavior. At the same time, the adaptation stage is when employees have
adjusted to the school system. The adaptation process goes through various ways, namely
the example of the leader (principal), characterizations, routines, symbols, and slogans.
Build a Quality Culture
Culture will shape the characteristics and build trust in an institution. Hickman and
Silva suggest three things in an institution that encourage a thriving quality culture:
commitment, competence and consistency. Commitment is an employee's agreement to
the existence of the institution. Competence is the ability to carry out tasks to achieve
organizational goals, and consistency is the stability to continuously adhere to
commitments and abilities as employees responsible for the organization's sustainability.
And they are also supported by cohesion. Namely, there is integration between
commitment, knowledge, and consistency in implementing culture in an institution.
A unit is a strong culture built by the four dimensions of the 4 K. The commitment
to do the best for the institution needs to be supported by Kemam.
capability
Consistency
commitment
consistency
Building a strong culture requires strong leaders with a strong vision and
personality. Leaders influence, instilling the values that have been created. A leader must
exemplify how subordinates carry out their duties correctly and responsibly.
In the realm of implementing TQM in educational organizations, it takes work.
There are obstacles in the work culture, and the performance of teachers and employees is
very influential. There is no denying that civil servants' work culture, performance, and
discipline in our country are shallow. This dramatically affects the effectiveness of TQM
implementation. Implementing School-Based Management (SBM), which has adopted
TQM principles, does not necessarily boost the performance of school administrators, the
implications of which can improve the competence of our students.
Integrated Quality Management (Total Quality Management) is very popular in the
profit organization environment, especially in the climate of various business
entities/companies and industries, which have proven their success in maintaining and
developing their respective existences in competitive business conditions. Conditions like
this have encouraged various parties to practice it in non-profit organizations, educational
45
Principal Leadership as a Quality Culture Motivator
institutions, or schools. The principle of TQM is that all this time, schools are considered
as a production unit, where students are the raw material and school graduates are the
product. In TQM, schools are understood as service units, namely learning services.
For quality to be maintained and the process of quality improvement to be
controlled, there must be standards that regulate and are agreed upon nationally to be used
as indicators for evaluating the success of quality improvement (benchmarking). This
thinking has encouraged the emergence of a new approach, namely the Management of
improving the quality of education, which can empower all the resources owned by
schools to achieve school goals. Several mentalities need to be built into the school culture
to achieve quality standards so that they can provide satisfying services for education
consumers such as Reliability. Services follow what was promised in meetings or
brochures by prioritizing honesty, safety, timeliness, and availability. Guarantee
(assurance). This means that schools can guarantee the quality of the services provided,
for example, regarding teacher/staff competence and objectivity. Appearance (tangible).
That is, the school situation looks good regarding tidiness, cleanliness, order, and beauty.
Attention (empathy). This means that the school gives full attention to customers.
Responsiveness. This means that schools must respond quickly to customer needs.
Developing a quality culture in schools is not instantaneous but through a relatively
long process of struggle with various challenges and even resistance. Creating a quality
culture must start with the willingness and ability of the school principal, along with staff
and stakeholders, to conduct a careful and objective school review. Starting from the
school review, schools must establish benchmarking and follow up with quality control.
After setting the ideal performance, the principal and staff must try to control quality by
comparing actual performance with perfect performance (benchmarking). If there is a
discrepancy between the real version and the ideal arrangement, it is necessary to diagnose
the cause of the problem and then take concrete actions on how to solve it.
On the other hand, if the actual performance has reached the ideal arrangement,
higher quality improvements (benchmarking) must be carried out continuously. If this is
constantly done, the principal will be ready and able to guarantee the quality of his school
(quality assurance). Quality assurance may still be partial because it prioritizes specific
components, such as the learning process, curriculum, and teacher components or others.
If a school has been able to guarantee the quality of all members, both academic and nonacademic, as well as all components of the school system, it means that the school has
been able to implement TQM (Total Quality Management). If this happens, a quality
culture will be achieved at the school. So a school that has implemented TQM, including a
quality culture, has developed well - it doesn't matter who the principal is - then the
existing components will provide the best quality service to students.
CONCLUSION
Understanding school institutions is very important because of the primary basis of
education in school. The importance of understanding school effectiveness is related to
improving the quality of teaching. It aligns with the national policy, namely the
46
Principal Leadership as a Quality Culture Motivator
decentralization of education in implementing regional autonomy. With this concept, the
government hopes to improve the quality of teaching and achieve equity, relevance, and
efficiency in education delivery.
So the implementation of education needs to pay attention to the characteristics,
aspirations, and needs of the community. Education should provide a contextual response
following the orientation of regional development. In other words, various efforts to bring
multiple parties with interests or stakeholders closer together so that access to policy
formulation and decision-making related to equity and expansion of services, quality,
relevance, and efficiency of education management is very justified.
All institutional activities must be oriented towards achieving quality. All members
or parts of the institution must be aware and confident about the need for the quality of
their respective performances. Therefore there must be a strong determination and
commitment to maintain and improve the quality of their work, which supports the
institution's rate. With a commitment to quality, it will be able to drive continuous efforts
to enhance the quality so that it will not give up on the obstacles and difficulties that face
implementing TQM in the context of continuous quality improvement.
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Copyright Holder :
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First Publication Right :
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Refining genetic boundaries for Agassiz’s desert tortoise (Gopherus agassizii) in the western Sonoran Desert: the influence of the Coachella Valley on gene flow among populations in southern California
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Title Refining genetic boundaries for Agassiz’s desert tortoise (Gopherus agassizii) in the
western Sonoran Desert: the influence of the Coachella Valley on gene flow among
populations in southern California UC Merced
Frontiers of Biogeography Title
Refining genetic boundaries for Agassiz’s desert tortoise (Gopherus agassizii) in the
western Sonoran Desert: the influence of the Coachella Valley on gene flow among
populations in southern California UC Merced
Frontiers of Biogeography
Title
Refining genetic boundaries for Agassiz’s desert tortoise (Gopherus agassizii) in the
western Sonoran Desert: the influence of the Coachella Valley on gene flow among
populations in southern California
Permalink
https://escholarship.org/uc/item/54r0m1cq
Journal
Frontiers of Biogeography, 12(3)
Authors
Lovich, Jeffrey E.
Edwards, Taylor
Berry, Kristin H.
et al.
Publication Date
2020
DOI
10.21425/F5FBG46888
Copyright Information
Copyright 2020 by the author(s).This work is made available under the terms of a
Creative Commons Attribution License, available at
https://creativecommons.org/licenses/by/4.0/
Peer reviewed UC Merced
Frontiers of Biogeography
Title
Refining genetic boundaries for Agassiz’s desert tortoise (Gopherus agassizii) in the
western Sonoran Desert: the influence of the Coachella Valley on gene flow among
populations in southern California
Permalink
https://escholarship.org/uc/item/54r0m1cq
Journal
Frontiers of Biogeography, 12(3)
Authors
Lovich, Jeffrey E. Edwards, Taylor
Berry, Kristin H. et al. Publication Date
2020
DOI
10.21425/F5FBG46888
Copyright Information
Copyright 2020 by the author(s).This work is made available under the terms of a
Creative Commons Attribution License, available at
https://creativecommons.org/licenses/by/4.0/
Peer reviewed Authors Copyright Information
Copyright 2020 by the author(s).This work is made available under the terms of a
Creative Commons Attribution License, available at
https://creativecommons.org/licenses/by/4.0/ Permalink https://escholarship.org/uc/item/54r0m1cq Abstract Substantial changes
in the landscape of the American Southwest occurred during
the last six million years (including the formation of the Gulf
of California and the lower Colorado River), which shaped the
distribution and genetic structuring of tortoise populations. Th
h
f h G lf f C lif
i i
i d b
h • Gene flow and connectivity among populations of
Agassiz’s desert tortoises, a conservation-reliant
species, are influenced by landscape features including
mountains, low-elevation depressions, and even
roads. The area northwest of the Gulf of California is occupied by the
Salton Trough, including the Coachella Valley at its northern
end. Much of this area is below sea level and unsuitable as
tortoise habitat, thus forming a potential barrier for gene
flow. We assessed genetic relationships among three tortoise
populations separated by the Coachella Valley. Two adjacent
populations were on the east side of the valley in the foothills
of the Cottonwood and Orocopia mountains separated by
Interstate 10. The third population, Mesa, was located about
87 km away in the foothills of the San Bernardino Mountains
at the far northwestern tip of the valley. The Cottonwood and
Orocopia localities showed genetic affiliation with the adjacent
Colorado Desert GU immediately to the east, and the Mesa
population exhibited affiliation with both the Southern Mojave
and Colorado Desert GUs, despite having a greater geographic
distance (0.5x–1.5x greater) to the Colorado Desert GU. The genetic affiliation with the Colorado Desert GU suggests that
the boundary for that GU needs to be substantially extended
to the west to include the desert tortoise populations around
the Coachella Valley. Their inclusion in the Colorado Desert
GU may benefit these often overlooked populations when
recovery actions are considered. • Sub-sea level areas northwest of the Gulf of California
occupied by the Salton Trough and the Coachella
Valley are unsuitable as tortoise habitat, thus forming
a potential barrier for gene flow. • Comparison of tortoise populations separated by the
northern Coachella Valley revealed genetic linkages
with the Colorado Desert (part of the Sonoran Desert)
genetic unit, despite the presence of the low elevation
barrier formed by the valley. • Genetic connectivity is postulated to be through the
mountains at the north end of the valley, and the
Colorado Desert genetic unit should be extended to
the west to reflect this connectivity. Abstract Understanding the influence of geographic features on the
evolutionary history and population structure of a species can
assist wildlife managers in delimiting genetic units (GUs) for
conservation and management. Landscape features including
mountains, low elevation depressions, and even roads can
influence connectivity and gene flow among Agassiz’s desert
tortoise (Gopherus agassizii) populations. Substantial changes
in the landscape of the American Southwest occurred during
the last six million years (including the formation of the Gulf
of California and the lower Colorado River), which shaped the
distribution and genetic structuring of tortoise populations. The area northwest of the Gulf of California is occupied by the
Salton Trough, including the Coachella Valley at its northern
end. Much of this area is below sea level and unsuitable as
tortoise habitat, thus forming a potential barrier for gene
flow. We assessed genetic relationships among three tortoise
populations separated by the Coachella Valley. Two adjacent
populations were on the east side of the valley in the foothills
of the Cottonwood and Orocopia mountains separated by
Interstate 10. The third population, Mesa, was located about
87 km away in the foothills of the San Bernardino Mountains
at the far northwestern tip of the valley. The Cottonwood and
Orocopia localities showed genetic affiliation with the adjacent
Colorado Desert GU immediately to the east, and the Mesa
population exhibited affiliation with both the Southern Mojave
and Colorado Desert GUs, despite having a greater geographic
distance (0.5x–1.5x greater) to the Colorado Desert GU. The genetic affiliation with the Colorado Desert GU suggests that
the boundary for that GU needs to be substantially extended
to the west to include the desert tortoise populations around
the Coachella Valley. Their inclusion in the Colorado Desert
GU may benefit these often overlooked populations when
recovery actions are considered. • The complex geologic and climatic history of the
Desert Southwest region of the United States during
the last 6 million years shaped the past and present
distribution, diversity, and evolution of plants and
animals. Understanding the influence of geographic features on the
evolutionary history and population structure of a species can
assist wildlife managers in delimiting genetic units (GUs) for
conservation and management. Landscape features including
mountains, low elevation depressions, and even roads can
influence connectivity and gene flow among Agassiz’s desert
tortoise (Gopherus agassizii) populations. Powered by the California Digital Library
University of California Powered by the California Digital Library
University of California eScholarship.org eScholarship.org Frontiers of Biogeography 2020, 12.3, e46888 Research Article Frontiers of Biogeography
the scientific journal of
the International Biogeography Society Frontiers of Biogeography
the scientific journal of
the International Biogeography Society Refining genetic boundaries for Agassiz’s desert tortoise (Gopherus
agassizii) in the western Sonoran Desert: the influence of the Coachella
Valley on gene flow among populations in southern California Jeffrey E. Lovich1* , Taylor Edwards2 , Kristin H. Berry3 ,
Shellie R. Puffer1 , Kristy L. Cummings1 , Joshua R. Ennen4 ,
Mickey Agha5 , Rachel Woodard6, Kathleen D. Brundige7, and
Robert W. Murphy8 Jeffrey E. Lovich1* , Taylor Edwards2 , Kristin H. Berry3 ,
Shellie R. Puffer1 , Kristy L. Cummings1 , Joshua R. Ennen4 ,
Mickey Agha5 , Rachel Woodard6, Kathleen D. Brundige7, and
Robert W. Murphy8 1 U.S. Geological Survey, Southwest Biological Science Center, 2255 N. Gemini Drive, MS-9394, Flagstaff, AZ 86001-1600, USA;
2 University of Arizona Genetics Core, University of Arizona, 1657 E. Helen Street, Room 111H, Tucson, AZ 85721, USA; 3 U.S. Geological Survey, Western Ecological Research Center, 21803 Cactus Avenue, Suite F, Riverside, CA 92518, USA; 4 Tennessee
Aquarium Conservation Institute, Tennessee Aquarium, 175 Baylor School Road, Chattanooga, TN 37405, USA; 5 Washington
Department of Fish and Wildlife, 1111 Washington St. SE, Olympia, WA 98501, USA; 6 1500 McLean St. #143, Ridgecrest, CA
93555, USA; 7 Coachella Valley Conservation Commission, 73–710 Fred Waring Drive, Suite 200, Palm Desert, CA 92260–2516,
USA; 8 Centre for Biodiversity and Conservation Biology, Royal Ontario Museum, 100 Queen’s Park, Toronto, ON, Canada M5S
2C6. *Corresponding author: Jeffrey Lovich, jeffrey_lovich@usgs.gov; https://www.usgs.gov/staff-profiles/jeffrey-e-lovich Keywords: Agassiz’s desert tortoise, Barrier, Conservation, Genetic Boundaries, Genetic Unit, Gopherus biogeography, Gulf of
California, Salton Trough Agassiz’s desert tortoise, Barrier, Conservation, Genetic Boundaries, Genetic Unit, Gopherus biogeography, Gulf of
California, Salton Trough https://escholarship.org/uc/fb
doi:10.21425/F5FBG46888 doi:10.21425/F5FBG46888 https://escholarship.org/uc/fb Introduction The Desert Southwest region of the United States has
a complex geologic and climatic history that shaped the
past and present distribution, diversity, and evolution
of plants and animals. Biological patterns in the region
are a reflection of the effects of processes driven by
tectonic, volcanic, glacial-interglacial cycling, and
shorter-term climatic events across widely varying time
scales (Dolby et al. 2015). Situated at the tectonic and
zoologically important interface of the North American
and Pacific Plates (Atwater 1970, Gottscho 2016),
the Desert Southwest has been profoundly shaped
and influenced by two major geological processes
in the last 6 million years: the formation of the Gulf
of California (Dolby et al. 2015) and the evolution of
the lower Colorado River (Howard et al. 2019), both
of which presented aquatic barriers to some plants
and animals. Disentangling the effects of those and
other geological processes on the evolution of the
biota of the region is an ongoing topic of interest to
researchers (Dolby et al. 2015, 2019). Vicariant events in the region caused by these
and other geographic barriers to dispersal (e.g., high
mountains and deep valleys) play important roles in
the genetic structuring of species. Genetic analyses
that assess gene flow, or the lack thereof, can serve to
identify barriers to dispersal. Syntheses of geographic
and genetic analyses can objectively identify critical
management units for conservation, defined as genetic
units (GUs; Wayne and Morin 2004). As such, genetic
analyses are essential for the effective management
of species, especially those that are threatened or
endangered. Although GUs have been defined for G. agassizii
(Murphy et al. 2007, Sánchez-Ramírez et al. 2018),
these studies did not include sampling from near
the southwestern limits of the species range (e.g.,
populations surrounding the Coachella Valley; Berry
and Murphy 2019). The low density or absence
of tortoises in much of the area surrounding the
Coachella Valley is due to the lack of suitable habitat
in such low elevation areas (much of which is below
sea level) and environmental conditions that are
physiologically challenging for sustaining G. agassizii
populations (reviewed by Ernst and Lovich 2009, Berry
and Murphy 2019). The valley is one of the driest and
hottest parts of the Sonoran Desert (Barrows et al. 2010). Its short flowering season for winter annual
plants challenges survival of the herbivorous tortoise
(Morafka and Berry 2002). e-ISSN: 1948-6596 © the authors, CC-BY 4.0 license © the authors, CC-BY 4.0 license 1 Testing a barrier to gene flow in desert tortoises Lovich et al. effects of natural geographic barriers on movements
(Britten et al. 1997, Murphy et al. 2007, Gaillard et al. 2017). For G. agassizii, significant impediments to
dispersal and habitation include high mountain ranges
and extremely low elevation areas with high summer
temperatures (Hagerty et al. 2011), both of which
are inhospitable to tortoises. In the Mojave Desert,
the latter includes Eureka, Saline, and Death valleys. Similarly, tortoises in the Sonoran Desert of California
(including the Colorado Desert subdivision) are all but
absent from the low elevation Salton Trough, including
the Coachella Valley (Dimmitt 1977, Luckenbach 1982,
Berry and Murphy 2019), Cadiz valley, and the lower
Colorado River region (Morafka and Berry 2002). Agassiz’s desert tortoises tend to prefer valley bottoms
and bajadas at moderate elevations (e.g., 300–920 m;
Luckenbach 1982) as habitat. Thus, mountain ranges
over about 2,000 m, like the New York (2,296 m) and
Providence (2,183 m) mountains, are barriers to gene
flow (Hagerty and Tracy 2010). At the local scale,
variables such as slope and roads may influence tortoise
movements and, thus, gene flow (Latch et al. 2011). Not surprisingly, geographic distance also influences
gene flow (Murphy et al. 2007, Hagerty and Tracy
2010, Averill-Murray and Hagerty 2014).i Introduction Further, large areas of the
Coachella Valley are affected by urban development
and agriculture (Beatley 1992), rendering it even less
suitable for desert tortoises and other wildlife.i g
Agassiz’s desert tortoise (Gopherus agassizii
Cooper) is a threatened species with a wide range
involving large portions of both the Mojave and
Sonoran deserts of Arizona, California, Nevada, and
Utah (Luckenbach 1982, Germano et al. 1994). Desert
tortoises are obligate herbivores that avoid some of
the harshest conditions of their arid environment by
constructing deep burrows and spending the majority
of their annual cycle sheltering within. With delayed
maturity, a long lifespan, and relatively low egg
production, they are very sensitive to additive mortality
from human activities and subsidized predators (see
reviews in Ernst and Lovich 2009, Berry and Murphy
2019). Despite their wide distribution, declines in the
densities of tortoises led to the species being listed as
threatened under the U.S. Endangered Species Act in
1990. Declines have continued since then (Allison and
Mcluckie 2018), despite significant efforts to recover
populations (Averill-Murray et al. 2012). Because conditions in the Coachella Valley are
not suitable for tortoises, we hypothesize that it acts
a barrier to gene flow for disjunct populations of
tortoises that occur on the upland slopes of various
mountains and bajadas surrounding the valley,
including the Chocolate, Orocopia, Cottonwood, Little
San Bernardino, San Bernardino, San Jacinto, and
Santa Rosa mountains (e.g., Lovich et al. 2015, 2018a;
Berry and Murphy 2019). Comparing the genetic
composition of three tortoise populations separated
by the Coachella ValIey allows a preliminary test of our
hypothesis. It is important to note that inferring the
natural distribution of tortoises today is complicated
by intentional introductions by humans (Murphy et al. 2007, Edwards et al. 2010, Edwards and Berry 2013). For example, tortoises are known to have been released
in Anza Borrego Desert State Park in the uplands on i
An important part of the recovery plan for the
desert tortoise, developed by the U.S. Fish and
Wildlife Service (USFWS 2011), is maintaining and
managing for genetic variability and linkages among
tortoise populations. Linkages are necessary to offset
the negative effects of human-caused barriers in
the desert, including roads (Latch et al. 2011) and
utility-scale wind and solar energy developments
(Lovich and Ennen 2011, 2013). Genetic variability of
populations of G. Frontiers of Biogeography 2020, 12.3, e46888 Introduction agassizii is largely a reflection of the © the authors, CC-BY 4.0 license Frontiers of Biogeography 2020, 12.3, e46888 2 Testing a barrier to gene flow in desert tortoises Lovich et al. the west side of the Salton Trough between 1971
and 1972 (Luckenbach 1982; J. Manning, Washington
State University, personal communication), far from
our the study sites. In addition, possible releases by
Native American tribes that used tortoises for food
or other cultural purposes (Schneider and Everson
1989) likely occurred throughout the range of the
species. The success of those and other introductions
depends on the ability of translocated tortoises to
survive under local conditions, something that is not
assured (Germano and Bishop 2008) and that varies
among individuals (Germano et al. 2017).ii than the genetic distances these populations have to
adjacent tortoise populations outside of the valley to
the east or northwest. Analyses integrate data from
24 short tandem repeats (STRs; microsatellites) from
these samples with homologous information from
Murphy et al. (2007). the west side of the Salton Trough between 1971
and 1972 (Luckenbach 1982; J. Manning, Washington
State University, personal communication), far from
our the study sites. In addition, possible releases by
Native American tribes that used tortoises for food
or other cultural purposes (Schneider and Everson
1989) likely occurred throughout the range of the
species. The success of those and other introductions
depends on the ability of translocated tortoises to
survive under local conditions, something that is not
assured (Germano and Bishop 2008) and that varies
among individuals (Germano et al. 2017).ii Study area The Salton Trough is the northern extension of
the basin occupied by the Gulf of California. It is a
pull-apart basin caused by subsidence from oblique
extension across strike-slip faults (Brothers et al. 2009). Extending for about 225 km, the Salton Trough in
California includes (from north to south) the Coachella
Valley, Salton Sea, Imperial Valley, and in Mexico the
Colorado River Delta (Fig. 1). The terrestrial portion
of the trough extends northwest from the Gulf of
California to the San Gorgonio Pass, near Palm Springs, Herein, we provide the first genetic assessment
of tortoise populations surrounding the Coachella
Valley. The first two sampled populations were east
of the southern portion of the valley and a third was
located about 85 km away at the northwestern tip
of the valley. If the Coachella Valley is a barrier to
tortoise dispersal and gene flow, genetic distances
between sampled populations should be greater Figure 1. Map showing Agassiz’s desert tortoise sampling sites around the Coachella Valley (shaded in gray) in California,
USA, the northern extension of the Salton Trough. Study sites are numbered for consistency with other figures and tables:
16=Mesa, 17=Cottonwood, 18=Orocopia. The northwestern part of the Coachella Valley between the label for study
site 16 and the San Jacinto Mountains is the San Gorgonio Pass. The light-colored area around and south of the Salton
Sea is a continuation of the terrestrial portion of the Salton Trough before it ends at the Gulf of California in Mexico. County lines are shown for reference. The horizontal line is the southern boundary of Riverside County and the vertical
line separates San Diego (left) from Imperial counties (right). Dashed line demarcates the approximate high stand of
Lake Cahuilla at approximately 12 m ASL during the Pleistocene obtained from https://www.arcgis.com/home/item. html?id=ac2b6de1149047b9af934acd4d01fdca Figure 1. Map showing Agassiz’s desert tortoise sampling sites around the Coachella Valley (shaded in gray) in California,
USA, the northern extension of the Salton Trough. Study sites are numbered for consistency with other figures and tables:
16=Mesa, 17=Cottonwood, 18=Orocopia. The northwestern part of the Coachella Valley between the label for study
site 16 and the San Jacinto Mountains is the San Gorgonio Pass. The light-colored area around and south of the Salton
Sea is a continuation of the terrestrial portion of the Salton Trough before it ends at the Gulf of California in Mexico. County lines are shown for reference. Study area The horizontal line is the southern boundary of Riverside County and the vertical
line separates San Diego (left) from Imperial counties (right). Dashed line demarcates the approximate high stand of
Lake Cahuilla at approximately 12 m ASL during the Pleistocene obtained from https://www.arcgis.com/home/item. html?id=ac2b6de1149047b9af934acd4d01fdca © the authors, CC-BY 4.0 license Frontiers of Biogeography 2020, 12.3, e46888 3 Testing a barrier to gene flow in desert tortoises Lovich et al. California. At its lowest point in the Salton Sink, the
depression is about 85 m below sea level, although
some of that area is now inundated by the Salton Sea
with a surface elevation of about 71 meters below sea
level. Approximately 5,400 km2 of the trough (including
the Eastern Coachella Valley) is below sea level, and
it is surrounded by mountains on all sides except in
the south near the Gulf of California (Waters 1983). The Coachella Valley covers about 777 km2 in the
northernmost portion of the Salton Trough (Beatley
1992). As mentioned earlier, the low elevation habitats
of the Salton Trough, including the Coachella Valley,
are unsuitable as tortoise habitat (Nussear et al. 2009)
and expected to be barriers to dispersal and gene flow. The Mesa study site, near Palm Springs, California,
is located in the foothills (600–900 m) of the San
Bernardino Mountains just above the northwestern
tip of the Coachella Valley, on the extreme western
edge of the Sonoran Desert ecosystem. The site
has been extensively developed for wind energy
production (Lovich et al. 2011). Vegetation at the site
is a combination of coastal, montane, and desert plant
species in a fire-prone landscape (Lovich et al. 2018b). Additional details of the study site and a history of
research conducted there are presented by Lovich
and Daniels (2000), Agha et al. (2015), and Lovich
and Ennen (2017). The other two study sites (both near Chiriaco Summit,
California) are located in the uplands about 28 km due
east of the edge of the Coachella Valley floor and about
85 km southeast of Mesa. The Cottonwood study site
is located in the southern part of Joshua Tree National
Park along the base of the Cottonwood Mountains. The site is characterized by sloping bajadas and desert
washes originating in the steep foothills (520–780 m)
of the Cottonwood Mountains to the north. Further
details of the vegetation in the area are provided by
Lovich et al. (2018a). Study area The Orocopia study site is relatively
flat, with elevations (480–620m) increasing to the south
and east, and a gentle uphill grade to the Orocopia
Mountains to the south. This site is characterized by
creosote scrub vegetation (Larrea tridentata Coville)
with widely-scattered ocotillos (Fouquieria splendens
Engelm.) and blue palo verde trees (Parkinsonia
florida Watson). The surface is characterized by areas
of desert pavement (Wood et al. 2005) interspersed
with sandy to gravelly soil and numerous tank and
jeep track scars from World War II training activities
(Prose 1985) associated with nearby Camp Young in
the early 1940’s. California. At its lowest point in the Salton Sink, the
depression is about 85 m below sea level, although
some of that area is now inundated by the Salton Sea
with a surface elevation of about 71 meters below sea
level. Approximately 5,400 km2 of the trough (including
the Eastern Coachella Valley) is below sea level, and
it is surrounded by mountains on all sides except in
the south near the Gulf of California (Waters 1983). The Coachella Valley covers about 777 km2 in the
northernmost portion of the Salton Trough (Beatley
1992). As mentioned earlier, the low elevation habitats
of the Salton Trough, including the Coachella Valley,
are unsuitable as tortoise habitat (Nussear et al. 2009)
and expected to be barriers to dispersal and gene flow. p
p
gl
The Mesa study site, near Palm Springs, California,
is located in the foothills (600–900 m) of the San
Bernardino Mountains just above the northwestern
tip of the Coachella Valley, on the extreme western
edge of the Sonoran Desert ecosystem. The site
has been extensively developed for wind energy
production (Lovich et al. 2011). Vegetation at the site
is a combination of coastal, montane, and desert plant
species in a fire-prone landscape (Lovich et al. 2018b). Additional details of the study site and a history of
research conducted there are presented by Lovich
and Daniels (2000), Agha et al. (2015), and Lovich
and Ennen (2017). Population analyses p
We mixed whole blood with lysis buffer and incubated
overnight with proteinase K at 550C, followed by
robotic extraction using a QIAGEN BioSprint 96 robotic
magnetic-particle purification system (Qiagen; Valencia,
California, USA) and Aline Biosciences Buccal Swab
gDNA Kit (Aline Biosciences; Woburn, Massachusetts,
USA). Scute samples were extracted using a Qiagen
DNeasy tissue kit. We quantified recovered DNA
using a BioTEK Synergy HT (BioTEK; Vermont, USA). We analyzed an approximately 1,100 base pair portion
of mitochondrial ND3/ND4 for samples from Orocopia
and Mesa to establish a baseline for the populations
and to help identify native vs. translocated individuals
(Edwards and Berry 2013). We genotyped all samples
for 24 previously described short tandem repeats
(STRs) following the methods of Edwards and Berry
(2013). Fragment analysis and DNA sequencing were
performed following standard procedures by UAGC. We compared data from our three study sites
(n=53 samples) around the Coachella Valley (described
above) to a reference database of 709 samples of
G. agassizii collected from throughout the species’
range (Murphy et al. 2007) as updated by Edwards and
Berry (2013) for additional loci that match our 24 STR
loci. The samples in these previous analyses clustered
into 15 groups (our sites 17 and 18 combined into one
new group for this analysis) according to Murphy et al. (2007), which we assigned to 5 genetic units (GUs)
based on the results of Sánchez-Ramírez et al. (2018)
(Table 1). We generated an FST matrix among all groups
using ARLEQUIN. Relationships between genetic and
geographic distances were considered qualitatively
only because geographic features affected linear travel
by tortoises (Dutcher et al. 2020). Thus, relatedness
among populations relied on assignment tests using Table 1. Desert tortoise study sites and groups modified from Murphy et al. 2007, including our three study sites around
the Coachella Valley (sites 16, 17, 18). Sites 17 and 18 were combined into one group due to their proximity. All are grouped
into 5 genetic units for G. agassizii as described in Sánchez-Ramírez et al. (2018). Modified sample set for Southern Clade
California samples excludes Northern Clade groups 11, 12 and 15. Abbreviations are as follows: NTC = National Training
Center, MCAGCC = Marine Corp Air Ground Combat Center, CMAGR = Chocolate Mountain Aerial Gunnery Range. Laboratory Processing A total of 55 samples from our three study sites
around the Coachella Valley were processed at the
University of Arizona Genetics Core (UAGC), Tucson, AZ,
USA. Of these, 31 samples based on scute tissue were
received from the University of Southern Mississippi as
extracted DNA, and 24 blood samples were extracted
and processed at UAGC. Usable DNA was obtained
from 53 of the 55 samples.f Descriptive statistics We calculated diversity indices for each population
based on polymorphic STR loci. We used Arlequin
(v. 3.5.1.2; Excoffier and Lischer 2010) to detect significant
departures from Hardy-Weinberg expectations and
FSTAT v.2.9.3.2 (Goudet 1995) to generate estimates
of gene diversity and allelic richness per locus. We used GENEPOP v.4.2 (Raymond 1995, Rousset
2008) to estimate inbreeding coefficients (FIS; Weir
and Cockerham 1984). We used default parameters in
FSTAT, ARLEQUIN, and GENEPOP for all Markov-chain
tests and permutations. Field techniques We used the subcarapacial venipuncture technique
(Hernandez-Divers et al. 2002, Drake et al. 2012) to
collect blood and lymph from tortoises, obtaining
up to 0.5 ml samples from each adult tortoise using
a 23-gauge needle irrigated with sodium heparin. g
g
g
p
For samples from hatchling tortoises at the Mesa
site collected in 2000, we clipped small amounts of
keratinous scute tissue from the marginal scutes as
part of our individual marking system (Cagle 1939). © the authors, CC-BY 4.0 license
5 Field techniques From 2000 to 2018, we collected DNA samples
from Agassiz’s desert tortoises at sites that are outside
but hydrologically part of the Coachella Valley (Fig. 2). Figure 2. Map showing centroids of locations of groups listed in Table 1. Group 16 is the Mesa study site and Groups 17 and 18
are Cottonwood and Orocopia study sites, respectively. The other sites are listed in Table 1. Shaded areas with fine dashed
line borders show the adjacent genetic units modified from Sánchez-Ramírez et al. (2018). From left to right they are:
Western Mojave GU, Central Mojave GU (upper sliver), Southern Mojave GU (lower), and Colorado Desert GU. The southern
boundary of the Colorado Desert GU is further modified from Sánchez-Ramírez based on our data supporting an extension
(left of the bold dashed line) of the GU going northwest from Groups 17 and 18 to Group 16. Figure 2. Map showing centroids of locations of groups listed in Table 1. Group 16 is the Mesa study site and Groups 17 and 18
are Cottonwood and Orocopia study sites, respectively. The other sites are listed in Table 1. Shaded areas with fine dashed
line borders show the adjacent genetic units modified from Sánchez-Ramírez et al. (2018). From left to right they are:
Western Mojave GU, Central Mojave GU (upper sliver), Southern Mojave GU (lower), and Colorado Desert GU. The southern
boundary of the Colorado Desert GU is further modified from Sánchez-Ramírez based on our data supporting an extension
(left of the bold dashed line) of the GU going northwest from Groups 17 and 18 to Group 16. © the authors, CC-BY 4.0 license Frontiers of Biogeography 2020, 12.3, e46888 Testing a barrier to gene flow in desert tortoises Lovich et al. We scored the STR fragment data using Genemarker
v.1.85 (SoftGenetics; State College, Pennsylvania,
USA). We aligned mtDNA sequences using CLC DNA
Workbench v.5.7.1 (CLC Bio; Denmark) to established
reference haplotypes in Genbank (Murphy et al. 2007). We used the subcarapacial venipuncture technique
(Hernandez-Divers et al. 2002, Drake et al. 2012) to
collect blood and lymph from tortoises, obtaining
up to 0.5 ml samples from each adult tortoise using
a 23-gauge needle irrigated with sodium heparin. For samples from hatchling tortoises at the Mesa
site collected in 2000, we clipped small amounts of
keratinous scute tissue from the marginal scutes as
part of our individual marking system (Cagle 1939). Population analyses Frontiers of Biogeography 2020, 12.3, e46888
© the authors, CC-BY 4.0 license
5
p
y
g
Genetic Unit
Study Site
# of Samples
Group
# of Samples in
Group
Western Mojave
Desert Tortoise Natural Area
56
1
60
Fremont-Valley
4
1
Hinkley
12
2
83
Kramer
3
2
Edwards Air Force Base
57
2
Fremont-Kramer
11
2
Central Mojave
Superior-Cronese
10
3
52
Fort Irwin (Goldstone)
9
3
Fort Irwin (NTC)
33
3
Fort Irwin (Tiefort)
31
4
31
Fort Irwin (Control Site)
33
5
46
Fort Irwin (Eastgate 2)
13
5 Testing a barrier to gene flow in desert tortoises Lovich et al. Genetic Unit
Study Site
# of Samples
Group
# of Samples in
Group
Southern Mojave
Lucerne Valley
11
6
25
Ord-Rodman
14
6
MCAGCC (Emerson)
9
7
70
MCAGCC (Sand Hill)
61
7
Daggett
72
8
72
MCAGCC (Lavic Lake)
8
9
27
MCAGCC (Maumee Mine)
7
9
MCAGCC (Sunshine Park)
12
9
MCAGCC (Bullion)
16
10
19
MCAGCC (Lava)
3
10
Colorado Desert
Fenner
4
12
31
Goffs
27
12
Chemhuevi
7
13
17
Upper Ward Valley
10
13
Chuckwalla
17
14
36
CMAGR
19
14
Northern Mojave
Ivanpah
33
11
59
Ivanpah (site 14)
23
11
Shadow Valley
3
11
Upper Virgin River. UT
28
15
28
unassigned
Mesa
30
16
30
(Coachella Valley)
Cottonwood
10
17
23
Orocopia
13
18
Table 1. Continued... California by Murphy et al. (2007), but excluded
haplogroup MOJ_B (groups 11, 12, 15 in Table 1)
from the northeastern Mojave Desert. WHICHRUN (Ver. 4.1; Banks and Eichert 2000),
which calculates the likelihood of a given individual
originating from ≥ 2 candidate populations on the
basis of its multilocus STR genotype. We assessed
stringency of population allocation based on the log
of the odds ratio (LOD) for the two most likely source
populations. Assignments with a LOD ratio of ≥ 2 had
a ≤ 0.01 chance of type I error. Results Mesa became distinct only when evaluated
for K = 7 (Fig. 3). population was equidistant in relatedness between
locations in the Southern Mojave and Colorado
Desert GUs, despite having a greater geographic
distance (0.5x–1.5x greater) to the former locations. Assignment tests associated most (21/23) Cottonwood
and Orocopia individuals to the Colorado Desert GU,
whereas individuals from Mesa were split between
the Colorado Desert GU and the Southern Mojave
GU, and two individuals were assigned further west
to the Western Mojave GU (Table 4). population was equidistant in relatedness between
locations in the Southern Mojave and Colorado
Desert GUs, despite having a greater geographic
distance (0.5x–1.5x greater) to the former locations. Assignment tests associated most (21/23) Cottonwood
and Orocopia individuals to the Colorado Desert GU,
whereas individuals from Mesa were split between
the Colorado Desert GU and the Southern Mojave
GU, and two individuals were assigned further west
to the Western Mojave GU (Table 4). j
(
)
When the Coachella Valley samples were analyzed
against the Southern Clade using STRUCTURE Table 2. Mean diversity indices based on 24 microsatellite (STR) loci: n = number of individuals genotyped; richness and
diversity estimated using FSTAT. Randomization tests for Hardy–Weinberg equilibrium calculated with ARLIQUIN, where
Obs Het = observed heterozygosity and Exp Het = expected heterozygosity. FIS, inbreeding coefficient (Weir and Cockerham
1984) estimated using GENEPOP Italicized values indicate standard deviation of the mean 1984) estimated using GENEPOP. Italicized values indicate standard deviation of the mean. Pop
n
# alleles
Allelic
range
Allelic
richness
Gene
diversity
Obs Het
Exp Het
FIS
Mesa
30
6.60
13.85
2.52
0.65
0.655
0.647
0.000
(3.59)
(9.82)
(0.61)
(0.21)
(0.259)
(0.221)
Cottonwood
10
6.28
13.17
2.81
0.74
0.698
0.739
0.059
(2.82)
(10.59)
(0.54)
(0.15)
(0.216)
(0.158)
Orocopia
13
5.80
12.05
2.56
0.65
0.561
0.649
0.147
(3.24)
(10.14)
(0.73)
(0.24)
(0.274)
(0.244)
Table 3. Population pairwise genetic distance (FST; below diagonal) and geographic distance (Km; above diagonal) between
unassigned populations around the Coachella Valley and adjacent genetic units to the east and north-northwest. Group
16 = Mesa, Group 17 = Cottonwood, and Group 18 = Orocopia. Orocopia and Cottonwood locations combined for analysis Table 3. Population pairwise genetic distance (FST; below diagonal) and geographic distance (Km; above diagonal) between
unassigned populations around the Coachella Valley and adjacent genetic units to the east and north-northwest. Group
16 = Mesa, Group 17 = Cottonwood, and Group 18 = Orocopia. Results For the three study sites around the Coachella Valley,
34 individuals were sequenced for mtDNA, including
9 from Orocopia and 25 from Mesa; all individuals
had haplotype MOJ_A01 (identified by Murphy et al. 2007 as a widely distributed haplotype of haplogroup
MOJ_A in California). STRs genotypes were obtained
for 53 individuals, including 30 from Mesa, 10 from
Cottonwood, and 13 from Orocopia. All populations
exhibited heterozygosity consistent with each other
(Table 2) and other reported populations of G. agassizii
(Edwards and Harrison 2014). Allelic richness and
gene diversity were relatively low, but this was not
unexpected for small populations that are relatively
isolated from a geographic perspective (Table 2).i We used STRUCTURE v.2.3.4 (Pritchard et al. 2000) to assess associations of the Coachella Valley
samples with the database without prior population
assignments. Analyses were run for K = 1–12 with
10 trials per K, and each run for 500,000 iterations
following a burn-in period of 50,000 MCMC iterations
under the admixture model, assuming allele frequencies
were correlated between populations. We used
STRUCTURE HARVESTER Online (Earl and von Holdt
2012) to evaluate the results. Independent STRUCTURE
runs were compiled and visualized using the Greedy
K algorithm in CLUMPAK (Kopelman et al. 2015). We performed analyses two ways: 1) using all samples
shown in Table 1, and 2) just the “Southern Clade”. The latter included all locations with mitochondrial
“haplogroup” MOJ_A, found throughout most of g
g
p
p
pi
(
)
Data for populations at the nearby study sites
Cottonwood and Orocopia were combined, and they
were most similar (Table 3) to their closest Colorado
Desert GU (Group 14; Chuckwalla and CMAGR) in our
comparison with the reference database. The Mesa © the authors, CC-BY 4.0 license Frontiers of Biogeography 2020, 12.3, e46888 6 Testing a barrier to gene flow in desert tortoises Lovich et al. (Figs. 3–4), the best fit was K = 5, when evaluated
using the DeltaK method of Evanno et al. (2005). In all iterations, Cottonwood, Orocopia, and Mesa
samples primarily clustered with the “Colorado
Desert” (group 14), with a few exceptions (Table 5). Analysis using all samples in the reference database
did not change the clustering. As K was increased,
Daggett (group 8, Table 1) fell out as a cluster before
any of the unassigned Coachella Valley samples
broke away from the Colorado Desert GU (group
14). © the authors, CC-BY 4.0 license
7 Results Orocopia and Cottonwood locations combined for analysis
d
t
i it Frontiers of Biogeography 2020, 12.3, e46888
© the authors, CC-BY 4.0 license
7
due to proximity. Genetic Unit
Southern Mojave
Colorado
Desert
Unassigned
(Coachella Valley)
Group
6
7
8
9
10
14
16
17&18
Southern
Mojave
6
0
49
32
24
77
173
81
144
7
0.014
0
79
38
35
120
51
81
8
0.020
0.041
0
52
104
202
100
166
9
0.014
0.012
0.023
0
55
156
79
124
10
0.026
0.017
0.047
0.020
0
107
88
74
Colorado
Desert
14
0.067
0.047
0.085
0.059
0.045
0
124
36
Unassigned
16
0.056
0.060
0.069
0.060
0.065
0.068
0
87
17&18
0.068
0.058
0.079
0.060
0.050
0.011
0.054
0
Table 4. Population assignment of three tortoise populations around the Coachella Valley to a reference database of 709
G. agassizii samples designated into five genetic units based on the genetic structure reported by Sánchez-Ramírez et al. (2018). Parenthetical values are assignments with LOD > 2. n
Genetic unit assignment
Western Mojave
Southern Mojave
Colorado Desert
Mesa
30
2 (2)
12 (11)
16 (15)
Cottonwood
10
0
1 (1)
9 (9)
Orocopia
13
0
1 (1)
12 (11) Frontiers of Biogeography 2020, 12.3, e46888
© the authors, CC-BY 4.0 license
7
Table 4. Population assignment of three tortoise populations around the Coachella Valley to a reference database of 709
G. agassizii samples designated into five genetic units based on the genetic structure reported by Sánchez-Ramírez et al. (2018). Parenthetical values are assignments with LOD > 2. n
Genetic unit assignment
Western Mojave
Southern Mojave
Colorado Desert
Mesa
30
2 (2)
12 (11)
16 (15)
Cottonwood
10
0
1 (1)
9 (9)
Orocopia
13
0
1 (1)
12 (11) on assignment of three tortoise populations around the Coachella Valley to a reference database of 709
ples designated into five genetic units based on the genetic structure reported by Sánchez-Ramírez et al. etical values are assignments with LOD > 2. Table 4. Population assignment of three tortoise populations around the Coachella Valley to a reference database of 709
G. agassizii samples designated into five genetic units based on the genetic structure reported by Sánchez-Ramírez et al. (2018). Parenthetical values are assignments with LOD > 2. n
Genetic unit assignment
Western Mojave
Southern Mojave
Colorado Desert Table 4. Frontiers of Biogeography 2020, 12.3, e46888 Results Population assignment of three tortoise populations around the Coachella Valley to a reference database of 709
G. agassizii samples designated into five genetic units based on the genetic structure reported by Sánchez-Ramírez et al. (2018). Parenthetical values are assignments with LOD > 2. n
Genetic unit assignment
Western Mojave
Southern Mojave
Colorado Desert
Mesa
30
2 (2)
12 (11)
16 (15)
Cottonwood
10
0
1 (1)
9 (9)
Orocopia
13
0
1 (1)
12 (11) Testing a barrier to gene flow in desert tortoises Lovich et al. Table 5. STRUCTURE analysis Q-values for K = 5 clusters averaged across 10 iterations. Standard deviations in italics. Population
Colorado
Desert GU
Southern
Mojave GU
Southern
Mojave GU
(Daggett
cluster)
Western
Mojave GU
Central Mojave
GU
Mesa
Ave
0.752
0.100
0.064
0.063
0.021
SD
0.230
0.137
0.096
0.103
0.026
Orocopia
Ave
0.893
0.042
0.025
0.019
0.019
SD
0.086
0.057
0.019
0.014
0.019
Cottonwood
Ave
0.899
0.039
0.023
0.015
0.025
SD
0.049
0.036
0.011
0.007
0.025
Figure 3. STRUCTURE analyses for Agassiz’s desert tortoise without prior population assignments consolidated and
visualized using CLUMPAK for genetic clusters (K) 4–7 for three Coachella Valley populations (16–18) and Southern Clade
genetic units; Western Mojave GU (groups 1–2), Central Mojave GU (groups 3–5), Southern Mojave GU (groups 6–10)
and Colorado Desert GU (groups 13–14). STRUCTURE analyses histograms consolidated and visualized using CLUMPAK
for genetic clusters K = 4−7. Figure 3. STRUCTURE analyses for Agassiz’s desert tortoise without prior population assignments consolidated and
visualized using CLUMPAK for genetic clusters (K) 4–7 for three Coachella Valley populations (16–18) and Southern Clade
genetic units; Western Mojave GU (groups 1–2), Central Mojave GU (groups 3–5), Southern Mojave GU (groups 6–10)
and Colorado Desert GU (groups 13–14). STRUCTURE analyses histograms consolidated and visualized using CLUMPAK
for genetic clusters K = 4−7. Discussion change in the region. For example, prehistoric aquatic
barriers in the lower Colorado River basin drove
divergence between Mojave and Sonoran desert biota
(Bell et al. 2010, Dolby et al. 2015). The first barrier, a
marine incursion of the Gulf of California, extended
northwestward into what is now the Salton Trough as
early as 6.3 Ma (Dolby et al. 2019). Fossil‑rich marine
sediments show that the Gulf extended as far north
as San Gorgonio Pass near Palm Springs, California,
and possibly east to Parker, Arizona along what is
now the Colorado River (Dolby et al. 2015, 2019). The Colorado River extensional corridor of the Miocene
left a series of basins that were flooded in the Pliocene
by the precursor to the lower river. Water from the Our analyses did not detect deep, lineage divergence
among tortoise populations separated by the Coachella
Valley, as would be expected if it was a significant
barrier to gene flow now or in the past. Instead, the
three tortoise populations surrounding the valley show
evidence of continuity with the Colorado Desert GU
and gene flow consistent with geographic distance,
including some evidence of gene flow between Mesa
at the northwestern tip of the valley and the adjacent
Southern Mojave GU.fii The observed lack of differentiation is somewhat
unexpected given the long history of geological © the authors, CC-BY 4.0 license Frontiers of Biogeography 2020, 12.3, e46888 8 Testing a barrier to gene flow in desert tortoises Lovich et al. Figure 4. a) The mean log-likelihood of the number of
populations of Agassiz’s desert tortoise for each K (ranging
from 1–10), with error bars representing the standard
deviation around the mean. b) DeltaK, derived through
the Evanno et al. (2005) method, is shown for each K 1–10. and Walde 2006), especially G. agassizii (Woodbury
and Hardy 1948) since their feet lack webbing present
in many aquatic turtles (Pace et al. 2001, Ernst and
Lovich 2009).i Aquatic barriers in the Salton Trough and lower
Colorado River Valley affected gene flow and evolution
not only of tortoises (Lamb et al. 1989), but their impact
has also been demonstrated to varying degrees in
phylogeographic studies of some other reptile species
(e.g., Devitt 2006, Mulcahy et al. 2006), but not others
(Lamb et al. 1992, Gottscho et al. Discussion 2017).i t
Past and present conditions in the Salton Trough,
including the Coachella Valley, present tortoises with
inhospitable habitat that inhibits them from moving
from one side to the other in a straight line, but this
dispersal barrier does not isolate them. Tortoises
may have circumvented the Coachella Valley using
its mountainous northern perimeter as a corridor
for gene flow. The most likely route of connectivity
involves the northern edge of the valley through
the foothills, canyons, and bajadas of the Little San
Bernardino Mountains. Our analyses cluster together
Mesa, Orocopia, and Cottonwood from across the
Coachella Valley. Nowadays, Interstate 10 separates
Orocopia and Cottonwood, which are only about 6 km
apart, and their genetic distance to one another is
substantially less than the distance to Mesa. Tortoises
at Mesa exhibit evidence of historic gene flow with
populations to the north-northwest, yet it still clusters
with the Colorado Desert GU. Figure 4. a) The mean log-likelihood of the number of
populations of Agassiz’s desert tortoise for each K (ranging
from 1–10), with error bars representing the standard
deviation around the mean. b) DeltaK, derived through
the Evanno et al. (2005) method, is shown for each K 1–10. Our analyses suggest that the range of the Colorado
Desert GU should be extended to include populations
surrounding the Coachella Valley. Populations around
the Coachella Valley appear to show stronger genetic
affinities to the Colorado Desert GU to the east (e.g.,
populations in Chuckwalla and Chocolate Mountain
Aerial Gunnery Range, Table 1) than they do to the
Southern/Central Mojave Desert GUs to the north. The Little San Bernardino and Cottonwood mountains
at the southern boundary of Joshua Tree National
Park form a natural barrier for tortoises between the
Coachella Valley and the Southern Mojave GU (e.g.,
Lucerne Valley, Ord-Rodman, MCAGCC, Table 1). The same barrier forms the boundary between the
climatically different Mojave and Sonoran desert
ecosystems (see Lovich and Bainbridge 1999, Barrows
2011, and references therein), so our results correspond
with the zoogeography of the region. Figure 4. a) The mean log-likelihood of the number of
populations of Agassiz’s desert tortoise for each K (ranging
from 1–10), with error bars representing the standard
deviation around the mean. b) DeltaK, derived through
the Evanno et al. (2005) method, is shown for each K 1–10. Colorado River arrived in the lower basin after 5.24 Ma,
forming a second barrier (Howard et al. Frontiers of Biogeography 2020, 12.3, e46888 Discussion 2019) or filter
(Dolby et al. 2019) to dispersal and gene flow in what
is now the Salton Trough. Mesa (Table 1, group 16) appears to have some
introgression with the Southern Mojave GU, with
decreasing influence moving eastward across the
Colorado Desert GU (groups 17, 18 & 14: Fig. 2,
Table 5). Thus, historic gene flow at Mesa likely occurred
through the Morongo Valley corridor between the San
Bernardino and Little San Bernardino mountains, and
this is consistent with the model of isolation‑by‑distance
(Murphy et al. 2007, Hagerty et al. 2011) exhibited
by G. agassizii. No population has been isolated
completely over time; gene flow occurs/occurred
among neighboring populations. Over the last several thousand years, the Salton
Trough has also been inundated periodically with
freshwater from overflow of the Colorado River,
forming a large waterbody known as Lake Cahuilla
(Waters 1983), and it is now partially filled by the
hypersaline Salton Sea. Lake Cahuilla (Fig. 1) and its
earlier marine precursor would have been dispersal
barriers to tortoise movements in the Salton Trough,
for while they are capable of floating (Patterson 1973),
sometimes for great distances (Gerlach et al. 2006),
tortoises are poor swimmers (see review in Strong The shared mtDNA ancestry among the Coachella
Valley tortoises suggests that the current distribution © the authors, CC-BY 4.0 license Frontiers of Biogeography 2020, 12.3, e46888 9 Testing a barrier to gene flow in desert tortoises Lovich et al. may be attributed either to a recent origin or to
unabated dispersal. Edwards (2015) suggested that
demographic events or selection reduced diversity within
California, leaving tortoises with mtDNA Haplogroup
MOJ_A only. This could have involved a population
bottleneck followed by a population expansion
(Edwards 2003), possibly coinciding with climate change
associated with glacial-interglacial periods during the
Pleistocene. The estimated time to the most recent
common ancestor of this haplogroup—98,268 years
(SD ±48,000 years; Edwards 2003)—is consistent with
this hypothesis. Desert tortoises likely experienced
multiple population contractions and expansions
correlating with Pleistocene glacial and interglacial
events. The lower Colorado River Valley appears to
have maintained more desert-like conditions during
the Wisconsin glacial period (Betancourt et al. 1990),
and this area may have acted as a refugium for
desert‑evolved species. It is unclear how G. agassizii
may have benefitted from such a refugium since they
are not considered to be a desert-evolved species
(Morafka and Berry 2002). Acknowledgements Research was supported by the Coachella Valley
Conservation Commission. The latter included funding
(in part) from the California Department of Fish and
Wildlife via a Natural Community Conservation Planning
Local Assistance Grant. Numerous people provided
assistance with the project, especially Kristina Drake
and Rachel Henderson. We thank Liz Cox and the
University of Arizona Genetics Core for generating
the genetic data. Erika Sanchez-Chopitea provided
GIS mapping for geographic distance calculations and
Sarah Sweat prepared our map figures. Research was
conducted with permits from Joshua Tree National
Park (JOTR-2012-SCI-0019), the U.S. Fish and Wildlife
Service (TE-198910-1), the California Department of
Fish and Game (SC-1639), and the Bureau of Land
Management. We thank Al Muth and Chris Tracy for
providing accommodations and stimulating discussions at
the Philip L. Boyd Deep Canyon Desert Research Center
(doi:10.21973/N3V66D) of the University of California,
Riverside during our field work. We are grateful to
the Institutional Animal Care and Use Committee of
Northern Arizona University for reviewing and approving
our research procedures. We thank Brian Kreiser of
the University of Southern Mississippi for extracting
DNA from scute tissues. Manuscript development
benefitted greatly from discussions with Kyle House,
Kristin McDougall-Reid and Brian Kreiser. Any use
of trade, product, or firm names is for descriptive
purposes only and does not imply endorsement by
the U.S. Government. k
The Salton Trough does not appear to be a major
driver of population structure in the current distribution
of desert tortoises. Instead the Little San Bernardino
and Cottonwood mountains appear to limit gene flow
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ancestry (within maternal clade MOJ_A), enough
time has passed for local adaptation to occur across
the species’ large distribution (Sánchez-Ramírez et al. 2018). Tortoises around the Coachella Valley likely
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turtles. Journal of Experimental Biology, 204,
3261–3271. Lovich, J.E., Ennen, J.R., Yackulic, C.B., Meyer-Wilkins,
K., Agha, M., Loughran, C., Bjurlin, C., Austin,
M. & Madrak, S.V. (2015) Not putting all
their eggs in one basket: bet-hedging despite
extraordinary annual reproductive output
of desert tortoises. Biological Journal of the
Linnean Society, 115, 399–410. Palstra, F.P. & Ruzzante, D.E. (2008) Genetic estimates
of contemporary effective population size:
what can they tell us about the importance © the authors, CC-BY 4.0 license Frontiers of Biogeography 2020, 12.3, e46888 13 Testing a barrier to gene flow in desert tortoises Lovich et al. of genetic stochasticity for wild population
persistence? Molecular Ecology, 17, 3428–3447. of genetic stochasticity for wild population
persistence? Molecular Ecology, 17, 3428–3447. Strong, J.N. & Walde, A.D. (2006) Geochelone
carbonaria (Red-footed tortoise). Swimming. Herpetological Review, 37, 457–458. Patterson, R. (1973) Why tortoises float. Journal of
Herpetology, 7, 373–375. USFWS (US Fish and Wildlife Service). (2011) Revised
recovery plan for the Mojave population of
the desert tortoise (Gopherus agassizii). U.S. Fish and Wildlife Service, Pacific Southwest
Region, Sacramento, CA. 222 pp. Pritchard, J.K., Stephens, M. & Donnelly, P. (2000)
Inference of population structure using
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945–959. Waters, M.R. (1983) Late Holocene lacustrine
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Cahuilla, California. Quaternary Research,
19, 373–387. Prose, D.V. (1985) Persisting effects of armored
military maneuvers on some soils of the
Mojave Desert. © the authors, CC-BY 4.0 license Frontiers of Biogeography 2020, 12.3, e46888 References Environmental Geology and
Water Sciences, 7, 163–170. Wayne, R.K. & Morin, P.A. (2004) Conservation
genetics in the new molecular age. Frontiers
in Ecology and the Environment, 2, 89–97. Raymond, M. (1995) GENEPOP (version 1.2):
population genetics software for exact tests
and ecumenicism. Journal of Heredity, 86,
248–249. Weir, B.S. & Cockerham, C.C. (1984) Estimating
F-statistics for the analysis of population
structure. Evolution, 38, 1358–1370. Rousset, F. (2008) genepop’007: a complete re-
implementation of the genepop software
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Resources, 8, 103–106. Wood, Y.A., Graham, R.C. & Wells, S.G. (2005) Surface
control of desert pavement pedologic process
and landscape function, Cima Volcanic field,
Mojave Desert, California. CATENA, 59, 205–230. Sánchez-Ramírez, S., Rico, Y., Berry, K.H., Edwards, T.,
Karl, A.E., Henen, B.T. & Murphy, R.W. (2018)
Landscape limits gene flow and drives population
structure in Agassiz’s desert tortoise (Gopherus
agassizii). Scientific Reports, 8, 11231. Woodbury, A.M. & Hardy, R. (1948) Studies of the
desert tortoise, Gopherus agassizii. Ecological
Monographs, 18, 145–200. Schneider, J.S. & Everson, G.D. (1989) The desert
tortoise (Xerobates agassizii) in the prehistory
of the southwestern Great Basin and Adjacent
areas. Journal of California and Great Basin
Anthropology, 11, 175–202. Submitted: 11 February 2020
First Decision: 26 March 2020
Accepted: 11 May 2020 First Decision: 26 March 2020
Accepted: 11 May 2020 Edited by Robert J. Whittaker and Janet Franklin Frontiers of Biogeography 2020, 12.3, e46888
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KATARZYNA PEREZ, EFEKTYWNOŚĆ FUNDUSZY INWESTYCYJNYCH. PODEJŚCIE TECHNICZNE I FUNDAMENTALNE, DIFIN, WARSZAWA 2012, SS. 440.
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299 299 Przegla˛d pis´miennictwa celowe przeznaczenie, mielibys´my do czynienia z odste˛pstwem od zasady jednos´ci materialnej budz˙etu
w obre˛bie działu ,,os´wiata i wychowanie’’. Tymczasem ta cze˛s´c´ subwencji (podobnie jak pozostałe
cze˛s´ci – razem z dochodami własnymi i udziałami w podatkach pan´ stwowych) stanowi jedna˛ pule˛
s´rodko´w publicznych przeznaczanych na finansowane wszystkich zadan´
własnych biez˙a˛cych
i inwestycyjnych. S´wiadczy o tym zapis ustawodawcy, zgodnie z kto´rym o przeznaczeniu s´rodko´w
otrzymanych z tytułu tej cze˛s´ci subwencji ogo´lnej decyduje organ stanowia˛cy jednostki samorza˛du
terytorialnego2. celowe przeznaczenie, mielibys´my do czynienia z odste˛pstwem od zasady jednos´ci materialnej budz˙etu
w obre˛bie działu ,,os´wiata i wychowanie’’. Tymczasem ta cze˛s´c´ subwencji (podobnie jak pozostałe
cze˛s´ci – razem z dochodami własnymi i udziałami w podatkach pan´ stwowych) stanowi jedna˛ pule˛
s´rodko´w publicznych przeznaczanych na finansowane wszystkich zadan´
własnych biez˙a˛cych
i inwestycyjnych. S´wiadczy o tym zapis ustawodawcy, zgodnie z kto´rym o przeznaczeniu s´rodko´w
otrzymanych z tytułu tej cze˛s´ci subwencji ogo´lnej decyduje organ stanowia˛cy jednostki samorza˛du
terytorialnego2. Recenzowana publikacja ma – moim zdaniem – pewne mankamenty. Najpowaz˙niejszy z nich to jej
mała przejrzystos´c´. W teks´cie jest zbyt mało tabel, w kto´rych przedstawiono by inne tres´ci niz˙ dane
liczbowe. Autorka nie wykorzystała rysunko´w, na kto´rych moz˙na by przedstawic´ na przykład kryteria
klasyfikacji i wyro´z˙nione na ich podstawie grupy poszczego´lnych wielkos´ci budz˙etowych, z´ro´dła
s´rodko´w zagranicznych niepodlegaja˛cych zwrotowi itp. Tekst ksia˛z˙ki jest dos´c´ s´cisły, brakuje w nim
,,s´wiatła’’, kto´re pozwoliłoby na szybkie znalezienie interesuja˛cych czytelnika tres´ci. Braki te nie sa˛na
tyle istotne, aby zawaz˙yły na ogo´lnej ocenie recenzowanej pozycji, tym bardziej z˙e moga˛ byc´
wyeliminowane podczas prac nad drugim wydaniem. Recenzowana publikacja powinna spotkac´ sie˛ z zainteresowaniem pracowniko´w naukowo-dydak-
tycznych wydziało´w ekonomicznych, prawa i administracji oraz ich studento´w. Wyraz˙am przeko-
nanie, z˙e be˛dzie ona ciekawa˛ lektura˛ takz˙e dla pracowniko´w samorza˛dowych, radnych oraz
przedstawicieli organo´w wykonawczych jednostek samorza˛dowych i innych oso´b zainteresowanych
problematyka˛ samorza˛dowa˛. Przemawiaja˛ za tym walory tej ksia˛z˙ki, na kto´re zwro´ciłam juz˙ uwage˛. Sławomira Kan´ duła Sławomira Kan´ duła Katarzyna Perez, Efektywnos´c´
funduszy in-
westycyjnych. Podejs´cie
techniczne
i
funda-
mentalne, Difin, Warszawa 2012, ss. 440. Recenzowana monografia jest kolejna˛praca˛w dorobku dr Katarzyny Perez pos´wie˛cona˛funduszom
inwestycyjnym. Jest to opracowanie, w kto´rym w sposo´b kompleksowy Autorka opisała techniczne
i fundamentalne podejs´cie do oceny efektywnos´ci funduszy inwestycyjnych. Ksia˛z˙ka dotyczy
zagadnien´ bardzo waz˙nych i aktualnych. 2 Ustawa z 13 listopada 2003 r. o dochodach jednostek samorza˛du terytorialnego, t.jedn.:
Dz. U. 2010, Nr 80, poz. 526, art. 7 ust. 3. 299 Podejs´cie techniczne w ocenie funduszy na podstawie osia˛ganych przez nie sto´p zwrotu waz˙onych
ryzykiem nie wydaje sie˛ wystarczaja˛ce, aby podja˛c´ decyzje˛ o wyborze funduszu, w kto´ry warto
inwestowac´. Konieczne według Autorki jest uzupełnienie analizy o czynniki fundamentalne, kto´rym
pos´wie˛cony jest rozdział 4. Fundusze inwestycyjne działaja˛bowiem w s´rodowisku, w kto´rym mamy do
czynienia z nieefektywnos´cia˛ informacyjna˛ rynku kapitałowego, a uczestnicy rynku kapitałowego nie
zawsze zachowuja˛ sie˛ racjonalnie, jak zakłada sie˛ w teorii klasycznej i neoklasycznej, be˛da˛cych
podstawa˛ konstrukcji wie˛kszos´ci mierniko´w efektywnos´ci funduszy inwestycyjnych. Pełna interpretacja osia˛ganych przez fundusze wyniko´w jest moz˙liwa tylko po uwzgle˛dnieniu
takz˙e elemento´w fundamentalnych. Na wyniki funduszy inwestycyjnych maja˛ bowiem wpływ cechy
charakteryzuja˛ce dany fundusz – okres jego funkcjonowania, stosowane style i strategie inwesto-
wania (bezpieczne, umiarkowane czy agresywne), a przede wszystkim – cechy zarza˛dzaja˛cych
funduszami (wykształcenie, dos´wiadczenie, pochodzenie, sposo´b wynagradzania itp.). Bardzo waz˙na
z punktu widzenia analizy fundamentalnej jest tez˙ ocena, czy moz˙liwe jest utrzymanie (persystencja)
sto´p zwrotu, kto´re fundusze wypracowały w poprzednich okresach. Historyczne stopy zwrotu sa˛
bowiem jednym z waz˙niejszych kryterio´w oceny funduszu – nie wiadomo jednak, czy zarza˛dzaja˛cy sa˛
w stanie utrzymac´ osia˛gnie˛ty ich poziom w przyszłos´ci. Autorka analizuje te wszystkie czynniki
fundamentalne na tle faz cyklu z˙ycia funduszu inwestycyjnego. Ostatnia˛ cze˛s´cia˛ pracy jest rozdział 5, pos´wie˛cony kompleksowej ocenie funduszy inwestycyjnych
działaja˛cych na rynku polskim. Przedmiotem badan´ empirycznych były wyniki funduszy akcji
i funduszy hybrydowych zarejestrowanych w Polsce, kto´re działały w latach 2001-2010. Autorka
skonfrontowała z praktyka˛ rozwaz˙ania zawarte we wczes´niejszych rozdziałach na temat teoretycz-
nych podstaw analizy efektywnos´ci funduszy inwestycyjnych, wykorzystuja˛c podejs´cie techniczne
i fundamentalne. Pozwoliło to zamkna˛c´ w logiczna˛, spo´jna˛całos´c´ zawartos´c´ merytoryczna˛ monografii. Doktor Perez zbadała efektywnos´c´ polskich funduszy inwestycyjnych według technicznych miar –
klasycznych i nowoczesnych – oraz oceniła persystencje˛ osia˛gnie˛tych przez te fundusze historycznych
sto´p zwrotu. Dopełnieniem tej analizy była ocena wpływu cech funduszu na jego wyniki, na zacho-
wanie zarza˛dzaja˛cych funduszami oraz na zachowanie jego uczestniko´w. Bardzo interesuja˛cym
wnioskiem, jaki wycia˛gne˛ła Autorka z badan´ przeprowadzonych na rynku funduszy inwestycyjnych
w Polsce, jest stwierdzenie, z˙e ,,gło´wnym z´ro´dłem dodatnich sto´p zwrotu funduszy osia˛ganych przez
ich menedz˙ero´w było w badanym okresie szcze˛s´cie, a nie faktyczne umieje˛tnos´ci doboru instrumento´w
finansowych do funduszu!’’ (s. 355). Polski rynek funduszy inwestycyjnych znajduje sie˛ wcia˛z˙ w fazie
wzrostu, a menedz˙erowie i uczestnicy funduszy dopiero zdobywaja˛ coraz wie˛ksze dos´wiadczenie. Udało sie˛ stworzyc´ w Polsce stabilne ramy prawne i instytucjonalne umoz˙liwiaja˛ce sprawne
funkcjonowanie rynku funduszy inwestycyjnych zgodnie ze standardami s´wiatowymi, co niewa˛t-
pliwie be˛dzie sprzyjac´ dalszemu rozwojowi tego rynku. 299 Chociaz˙ pierwsze fundusze inwestycyjne pojawiły sie˛ na
s´wiecie juz˙ około dwies´cie lat temu, to sposo´b i metody analizy ich funkcjonowania stale ewoluuja˛,
w s´lad za pojawiaja˛cymi sie˛ nowymi koncepcjami teoretycznymi, jak i na skutek ro´z˙nicowania sie˛
samych funduszy i ich strategii inwestycyjnych. W Polsce rynek funduszy inwestycyjnych powstał
dwadzies´cia lat temu i cały czas sie˛ rozwija. Praca dr Katarzyny Perez ma konsekwentnie zarysowana˛, w pełni logiczna˛strukture˛. W pierwszej
cze˛s´ci (rozdział 1 i 2) Autorka przedstawia ewolucje˛ teorii portfela inwestycyjnego oraz ewolucje˛ teorii
rynku kapitałowego i ich znaczenie dla oceny efektywnos´ci funduszy inwestycyjnych. Ta cze˛s´c´ pracy
tworzy podstawy do analizy funkcjonowania funduszy zaro´wno od strony technicznej, jak i funda-
mentalnej. Przegla˛d teorii znajduja˛cy sie˛ w pracy został przygotowany z ogromnym znawstwem
s´wiatowych dokonan´
w tym zakresie. Autorka wykazała sie˛ dogłe˛bna˛ znajomos´cia˛ rozwaz˙an´
teoretycznych prezentowanych w literaturze przedmiotu (bibliografia zawarta w pracy liczy blisko
osiemset pozycji!). Dwa autorskie wykresy podsumowuja˛ce rozwo´j opisywanych teorii, zamieszczone na kon´ cu
pierwszego i drugiego rozdziału (odpowiednio s. 88 i 134) daja˛ czytelnikowi przejrzysty obraz
poszczego´lnych etapo´w tej ewolucji. Ta cze˛s´c´ pracy stanowi niezwykle cenne kompendium wiedzy na
temat teorii portfela inwestycyjnego, jego dywersyfikacji, racjonalnych zachowan´
inwestoro´w
i zalez˙nos´ci pomie˛dzy oczekiwana˛stopa˛zwrotu a ryzykiem ponoszonym przez inwestora. Zawiera ona
takz˙e interesuja˛ce rozwaz˙ania na temat hipotezy rynku efektywnego i przyczyn obserwowanych 300 Przegla˛d pis´miennictwa anomalii rynkowych oraz sposobo´w ich wyjas´nienia. Warto podkres´lic´, z˙e w rozdziale 2 Autorka
konfrontuje klasyczna˛ teorie˛ inwestycji finansowych z teoria˛ behawioralna˛. anomalii rynkowych oraz sposobo´w ich wyjas´nienia. Warto podkres´lic´, z˙e w rozdziale 2 Autorka
konfrontuje klasyczna˛ teorie˛ inwestycji finansowych z teoria˛ behawioralna˛. Dwa kolejne rozdziały, kto´re stanowia˛ wyraz´nie druga˛ cze˛s´c´ ksia˛z˙ki, sa˛ pos´wie˛cone omo´wieniu
metod oceny efektywnos´ci funduszy inwestycyjnych przy zastosowaniu zaro´wno podejs´cia tech-
nicznego, jak i podejs´cia fundamentalnego. Poła˛czenie tych dwo´ch podejs´c´ w analizie wyniko´w
funduszy inwestycyjnych, dotychczas stosowanych oddzielnie w literaturze przedmiotu i praktyce,
stanowi istotny, nowatorski aspekt pracy. W rozdziale 3 Autorka prezentuje klasyczne i nowoczesne miary efektywnos´ci funduszy, kto´rych
konstrukcja umoz˙liwia jednoczesne wykorzystanie informacji o osia˛ganych stopach zwrotu i ryzyku
ponoszonym przez inwestora. Prezentacja poszczego´lnych mierniko´w efektywnos´ci jest uzupełniona
krytyczna˛ ich analiza˛. Autorka przedstawia wady i zalety poszczego´lnych miar i wskaz´niko´w, a takz˙e
opisuje gło´wne błe˛dy metodologiczne wyste˛puja˛ce przy interpretacji sto´p zwrotu wypracowywanych
przez fundusze inwestycyjne: tradycyjne i fundusze hedge. To bardzo wartos´ciowy fragment pracy. 299 Recenzowana monografia Katarzyny Perez reprezentuje bardzo wysoki poziom merytoryczny
i warsztatowy. Lektura pracy wskazuje, z˙e prezentowane przez Autorke˛ zagadnienia sa˛wynikiem jej
głe˛bokich przemys´len´ , a nie wyła˛cznie omo´wieniem pogla˛do´w innych autoro´w – zaro´wno teoretyko´w,
jak i praktyko´w. Ksia˛z˙ka jest napisana z ogromna˛ pasja˛ badawcza˛. Wszystkie omawiane problemy
zwia˛zane z rozwia˛zaniami teoretycznymi i stosowanymi miarami efektywnos´ci funduszy Autorka
opatruje własnym, cze˛sto krytycznym komentarzem, stosuje takz˙e oryginalne autorskie metody
prezentacji. 301 Przegla˛d pis´miennictwa Ksia˛z˙ka Katarzyny Perez jest pierwsza˛ na polskim rynku wydawniczym publikacja˛ prezentuja˛ca˛
w sposo´b kompleksowy problematyke˛ efektywnos´ci funduszy inwestycyjnych. Praca zawiera ponadto
wyniki obszernych własnych badan´ empirycznych Autorki na temat efektywnos´ci polskich funduszy. Recenzowana monografia jest z pewnos´cia˛ w pełni oryginalnym i nowatorskim opracowaniem. Doktor Perez jest niewa˛tpliwie bardzo utalentowanym pracownikiem naukowo-badawczym,
o duz˙ej wiedzy i pracowitos´ci, czego dowodzi ogrom przeprowadzonych badan´ literaturowych i empi-
rycznych, kto´re stały sie˛ podstawa˛ do napisania recenzowanej ksia˛z˙ki. Jej monografia ma charakter
interdyscyplinarny: choc´ jest pos´wie˛cona gło´wnie problematyce finanso´w, to jednak wiele zagadnien´
nawia˛zuje bezpos´rednio do ekonomii, a takz˙e nauk o zarza˛dzaniu. Przy przygotowaniu tej pracy
Autorka wykazała sie˛ tez˙ ogromna˛ erudycja˛, o czym s´wiadczy choc´by fragment pos´wie˛cony dywer-
syfikacji portfela inwestycyjnego. Korzenie dywersyfikacji zmniejszaja˛cej ryzyko odnalazła ona nie
tylko w osiemnastowiecznych tekstach ekonomicznych Daniela Bernoullego, ale takz˙e w dziełach
Williama Shakespeare’a, a nawet w ksie˛gach biblijnych. Ksia˛z˙ka została przygotowana z duz˙a˛ dbałos´cia˛ o poprawnos´c´ je˛zykowa˛. Mimo z˙e praca jest
pos´wie˛cona dos´c´ skomplikowanej, zaawansowanej merytorycznie i specjalistycznej problematyce,
została napisana przyste˛pnym, jasnym je˛zykiem, czyta sie˛ ja˛ z duz˙a˛ przyjemnos´cia˛. Jest to
niewa˛tpliwy atut pracy, gdyz˙ z powodzeniem moga˛ z niej korzystac´ nie tylko naukowcy – teoretycy
i badacze akademiccy, lecz takz˙e praktycy – osoby zarza˛dzaja˛ce funduszami i jego uczestnicy. Ksia˛z˙ka
moz˙e byc´ takz˙e bardzo pomocna studentom kierunko´w finansowych, ekonomicznych i biznesowych. Moz˙e byc´ poz˙yteczna˛ lektura˛ dla wszystkich, kto´rzy chcieliby sie˛ zapoznac´ z ta˛ stosunkowo nowa˛
w
polskich
realiach
gospodarczych
problematyka˛ funkcjonowania
funduszy
inwestycyjnych,
a w szczego´lnos´ci pogłe˛bic´ wiedze˛ w zakresie pomiaru ich efektywnos´ci. Z pełnym przekonaniem
moz˙na zatem zache˛cac´ do przeczytania tej wartos´ciowej monografii Aleksandra Duliniec
almad@sgh.waw.pl Tomasz Sobczak, Ekonomis´ci czytani, ale nie
słuchani. Działalnos´c´ organo´w doradczych przy
Radzie Ministro´w w Polsce w latach 1957-2006,
Wydawnictwo
Key
Text,
Warszawa
2012,
ss. 161. Transformacja roli pan´ stwa polega wspo´łczes´nie na ograniczeniu jego dotychczasowych prero-
gatyw, ale nie oznacza to, z˙e jego rola zanika lub staje sie˛ mniej istotna. Paradoksalnie funkcje
pan´ stwa (rza˛du i samorza˛do´w) ulegaja˛ raczej wzmocnieniu. 299 Ten pozorny paradoks znika, gdy funkcje
te rozdzieli sie˛ na operacyjne i systemowe; operacyjne rzeczywis´cie ulegaja˛ ograniczeniu, nato-
miast zapotrzebowanie na systemowe ros´nie. Fakt ten znajduje sie˛ u podstaw ponadczasowego
(tzn. niewynikaja˛cego z koniunktur czy przejs´ciowych mo´d) zapotrzebowania na mys´l ekonomiczna˛
reprezentowana˛ przez ekonomisto´w – doradco´w kolejnych rza˛do´w. Na tym tle moz˙na stwierdzic´, z˙e problematyka pracy Tomasza Sobczaka jest bez wa˛tpienia
aktualna, waz˙na, a przy tym interesuja˛ca zaro´wno z poznawczego, jak i gło´wnie praktycznego punktu
widzenia. Autor pro´buje przeanalizowac´ szczego´łowo, z ro´z˙nych punkto´w widzenia, problematyke˛
funkcjonowania w latach 1957-2006 rza˛dowych organo´w doradczych. Pozytywnie i z uznaniem nalez˙y ocenic´ zdefiniowane we wprowadzeniu motywy wyboru obszaru
badawczego, gło´wne załoz˙enia pracy, stadia procedury badawczej oraz cel pracy (s. 13). Jest nim
przedstawienie działalnos´ci czterech rad, ze szczego´lnym uwzgle˛dnieniem aspekto´w prawno-orga-
nizacyjnych, kalendarium ich posiedzen´ , składu osobowego oraz dorobku publikacyjnego. Autor
przyja˛ł za mys´l przewodnia˛ stwierdzenie, z˙e rady ekonomiczne funkcjonuja˛ce w Polsce w anali-
zowanych latach odgrywały role fasadowe w zakresie wpływania na kształt polityki społeczno-
-gospodarczej ekip rza˛dowych. Sformułował tez˙ trzy interesuja˛ce hipotezy pomocnicze: 1) Skutecznos´c´ wpływania rad na ostateczny kształt polityki społeczno-gospodarczej poszcze-
go´lnych rza˛do´w jest tym mniejsza, im wyz˙szy jest poziom zro´z˙nicowania pogla˛do´w członko´w tych
organo´w. 1) Skutecznos´c´ wpływania rad na ostateczny kształt polityki społeczno-gospodarczej poszcze-
go´lnych rza˛do´w jest tym mniejsza, im wyz˙szy jest poziom zro´z˙nicowania pogla˛do´w członko´w tych
organo´w.
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https://openalex.org/W3105534919
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http://t2r2.star.titech.ac.jp/rrws/file/CTT100685672/ATD100000413/
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English
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Sufficient conditions for wave instability in three-component reaction-diffusion systems
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Progress of theoretical and experimental physics
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論文 / 著書情報
Article / Book Information 論文 / 著書情報
Article / Book Information
Title
Sufficient conditions for wave instability in three-component reaction-
diffusion systems
Authors
Shigefumi Hata, Hiroya Nakao, Alexander S Mikhailov
Citation
Progress of Theoretical and Experimental Physics, Vol. 2014, No. 1,
pp. 013A01
Pub. date
2014, 1
URL
http://arxiv.org/abs/1302.0683
Note
This article has been accepted for publication in Progress of
Theoretical and Experimental Physics Published by Oxford University
Press. Creative Commons
See next page. Powered by T2R2 (Tokyo Institute Research Repository) Sufficient conditions for wave instability in
three-component reaction-diffusion systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sufficient conditions for the wave instability in general three-component reaction-diffusion sys-
tems are derived. These conditions are expressed in terms of the Jacobian matrix of the uniform
steady state of the system, and enable us to determine whether the wave instability can be
observed as the mobility of one of the species is gradually increased. It is found that the insta-
bility can also occur if one of the three species does not diffuse. Our results provide a useful
criterion for searching wave instabilities in reaction-diffusion systems of various origins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Subject Index
A53, A54 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. © The Author(s) 2014. Published by Oxford University Press on behalf of the Physical Society of Japan. License https://creativecommons.org/licenses/by/4.0/ Prog. Theor. Exp. Phys. 2014, 013A01 (17 pages)
DOI: 10.1093/ptep/ptt102 © The Author(s) 2014. Published by Oxford University Press on behalf of the Physical Society of Japan. © The Author(s) 2014. Published by Oxford University Press on behalf of the Physical Society of Japan.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), © The Author(s) 2014. Published by Oxford University Press on behalf of the Physical Society of Japan.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.or 1.
Introduction The wave instability provides an important mechanism for oscillatory pattern formation in nonequi-
librium chemical systems. When it takes place, a critical mode corresponding to a traveling wave
with a certain wavenumber and oscillation frequency begins to grow, destabilizing the uniform
steady state. Although being less known, the wave instability has already been considered in 1952
by A. Turing in his pioneering publication [1], where the classical (i.e. static) Turing instability, lead-
ing to the establishment of a periodic stationary pattern, has also been introduced. Therefore, it may
also be appropriate to describe it as the oscillatory Turing bifurcation. Moreover, it was noticed by
A. Turing [1] that at least three interacting species are needed for this instability to occur. Because of the spatial reflection symmetry, waves traveling in the left and right directions have the
same growth rates, and both of them begin to spontaneously develop above the instability threshold. Nonlinear interactions between such modes determine whether one of the modes gets suppressed, so
that a wave traveling in a certain direction is established, or standing waves, representing superposi-
tions of left- and right-traveling waves, are formed instead [2,3]. The wave patterns resulting from
such instability can also exhibit secondary instabilities, and wave turbulence may set on. In contrast to the classical Turing bifurcation, which has been extensively discussed for both bio-
logical and chemical systems [1,4–10], the wave bifurcation has so far attracted less attention. It has
been considered for special chemical models [11,12], and its existence was suggested in the exper-
iments with Belousov-Zhabotinsky microemulsions [13]. There are also publications in which this
instability was discussed for special ecological models [14]. PTEP 2014, 013A01 S. Hata et al. Because at least three species are needed for the wave instability to occur, the linear stability analy-
sis is more complex in this case, as compared with the classical Turing bifurcation in two-component
activator-inhibitor systems. The complexity of the stability analysis, which was performed sepa-
rately for individual chemical systems, has probably also been responsible for the fact that the wave
instability was not broadly investigated for reaction-diffusion media. In a recent study, sufficient
conditions for the wave instability in general three-component reaction-diffusion systems have been
derived [15]. These conditions have been formulated in terms of the elements of the Jacobian matrix
and the diffusion constants of the reacting species. 1.
Introduction By using an essentially different method, in this article we derive another set of sufficient conditions
for the wave bifurcation in general three-component reaction–diffusion models. As we show, the
derived sufficient conditions are complementary to those obtained in Ref. [15]. Indeed, there are
systems where our conditions can be used to predict the wave instability, whereas the other set of
sufficient conditions does not apply. On the other hand, our conditions do not work for some systems
while the conditions from Ref. [15] hold. The conditions derived in the present paper tell whether the wave bifurcation is possible when the
mobility of any chosen species is gradually increased, while diffusion coefficients of other species
are kept constant. The instability may take place even if one of the three species is immobile. 2.
Three-component reaction–diffusion systems We consider reaction–diffusion systems with three chemical reactants U, V , and W. Local densities
of the reactants are denoted as u = [U], v = [V ], and w = [W]. All reactants diffuse over the space
and undergo local chemical reactions. Generally, such systems are described by the equations ⎧
⎪⎪⎪⎪⎪⎪⎨
⎪⎪⎪⎪⎪⎪⎩
du
dt = f (u, v, w) + Du∇2u,
dv
dt = g(u, v, w) + Dv∇2v,
dw
dt = h(u, v, w) + Dw∇2w,
(1) ⎧
⎪⎪⎪⎪⎪⎪⎨
⎪⎪⎪⎪⎪⎪⎩
du
dt = f (u, v, w) + Du∇2u,
dv
dt = g(u, v, w) + Dv∇2v,
dw
dt = h(u, v, w) + Dw∇2w,
(1) (1) where functions f , g, and h represent the local reactions. Diffusion coefficients of the reactants
are Du, Dv, and Dw. We assume that a uniform steady state (u, v, w) = (¯u, ¯v, ¯w) determined
by f (¯u, ¯v, ¯w) = g(¯u, ¯v, ¯w) = h(¯u, ¯v, ¯w) = 0 exists and that this state is stable in the absence of
diffusion. where functions f , g, and h represent the local reactions. Diffusion coefficients of the reactants
are Du, Dv, and Dw. We assume that a uniform steady state (u, v, w) = (¯u, ¯v, ¯w) determined
by f (¯u, ¯v, ¯w) = g(¯u, ¯v, ¯w) = h(¯u, ¯v, ¯w) = 0 exists and that this state is stable in the absence of
diffusion. 3.
Linear stability analysis with rescaled variables We introduce small perturbations to the steady state as (u, v, w) = (¯u, ¯v, ¯w) + (δu, δv, δw). Sub-
stituting this into Eqs. (1), the following linearized differential equations for the perturbations are
obtained: ⎧
⎪⎪⎪⎪⎪⎪⎨
⎪⎪⎪⎪⎪⎪⎩
d
dt δu = fuδu + fvδv + fwδw + Du∇2δu,
d
dt δv = guδu + gvδv + gwδw + Dv∇2δv,
d
dt δw = huδu + hvδv + hwδw + Dw∇2δw,
(2) d
dt δv = guδu + gvδv + gwδw + Dv∇2δv,
(2) (2) 2/17 PTEP 2014, 013A01 S. Hata et al. S. Hata et al. where fu = ∂f/∂u|(¯u,¯v, ¯w), fv = ∂f/∂v|(¯u,¯v, ¯w), fw = ∂f/∂w|(¯u,¯v, ¯w), ... are partial derivatives at the
steady state. The following rescaled variables are introduced for convenience: where fu = ∂f/∂u|(¯u,¯v, ¯w), fv = ∂f/∂v|(¯u,¯v, ¯w), fw = ∂f/∂w|(¯u,¯v, ¯w), ... are partial derivatives at the
steady state. The following rescaled variables are introduced for convenience: δ ˜u = δu,
δ ˜v =
fv
gu
δv,
δ ˜w =
fv
hv
δw,
˜t =
| fvgu|t. (3) (3) We substitute these variables into Eqs. (2) to obtain the set of equations We substitute these variables into Eqs. (2) to obtain the set of equations ⎧
⎪⎪⎪⎪⎪⎪⎨
⎪⎪⎪⎪⎪⎪⎩
d
d˜t δ ˜u = m0δ ˜u + αδ ˜v + nδ ˜w + Duμ∇2δ ˜u,
d
d˜t δ ˜v = βδ ˜u + p0δ ˜v + qδ ˜w + Dvμ∇2δ ˜v,
d
d˜t δ ˜w = rδ ˜u + γ δ ˜v + s0δ ˜w + Dwμ∇2δ ˜w,
(4) (4) where
m0 =
fu
√| fvgu|,
n =
fw |hv|
fv3gu
,
p0 =
gv
√| fvgu|,
q = gw
hv
fvgu
,
r = hu
|hv|
fv
gu
,
s0 =
hw
√| fvgu|,
μ =
1
√| fvgu|. (5) (5) The coefficients α, β, γ are determined by the signs of fv, gu, hv, α = sign( fv), β = sign(gu),
γ = sign(hv). The perturbations (δ ˜u, δ ˜v, δ ˜w) are expanded over plane waves as The coefficients α, β, γ are determined by the signs of fv, gu, hv, α = sign( fv), β = sign(gu),
γ = sign(hv). 3.
Linear stability analysis with rescaled variables The perturbations (δ ˜u, δ ˜v, δ ˜w) are expanded over plane waves as δ ˜u =
d⃗k ˜U
⃗k
exp
λ
⃗k
˜t −i⃗k · ⃗x
,
δ ˜v =
d⃗k ˜V
⃗k
exp
λ
⃗k
˜t −i⃗k · ⃗x
,
δ ˜w =
d⃗k ˜W
⃗k
exp
λ
⃗k
˜t −i⃗k · ⃗x
,
(6) (6) where ⃗k = (k1, k2, . . .) is the wave vector, and λ
⃗k
is the growth rate of the plane wave with wave
vector ⃗k. Thus, we obtain the following equations for each wave vector ⃗k: where ⃗k = (k1, k2, . . .) is the wave vector, and λ
⃗k
is the growth rate of the plane wave with wave
vector ⃗k. Thus, we obtain the following equations for each wave vector ⃗k: λ(k)
⎛
⎜⎝
˜U (k)
˜V (k)
˜W (k)
⎞
⎟⎠=
⎛
⎜⎝
m0 −Duμk2
α
n
β
p0 −Dvμk2
q
r
γ
s0 −Dwμk2
⎞
⎟⎠
⎛
⎜⎝
˜U (k)
˜V (k)
˜W (k)
⎞
⎟⎠,
(7) (7) where k =
⃗k
is the wave number, the magnitude of the wave vector ⃗k. Because only the magnitude
of the wave vector is important, we drop the vector symbols from here on. where k =
⃗k
is the wave number, the magnitude of the wave vector ⃗k. Because only the magnitude
of the wave vector is important, we drop the vector symbols from here on. 3/17 PTEP 2014, 013A01 S. Hata et al. The condition The condition det
⎛
⎜⎝
m0 −Duμk2 −λ(k)
α
n
β
p0 −Dvμk2 −λ(k)
q
r
γ
s0 −Dwμk2 −λ(k)
⎞
⎟⎠= 0
(8) (8) should be satisfied for Eq. (7) to have non-trivial solutions. Thus, the linear growth rate λ(k) is
determined by the characteristic equation λ3 −(m + p + s)λ2 + (mp + ps + sm −nr −γ q −αβ)λ
−(mps −npr + αqr −γ mq + βγ n −αβs) = 0,
(9) (9) where m = m(k) = m0 −k2μDu,
p = p(k) = p0 −k2μDv,
s = s(k) = s0 −k2μDw. (10) (10) The growth of each plane-wave mode is determined by the real part of λ(k). The uniform steady
state is stable if Re(λ(k)) is negative for all k. The instability occurs if Re(λ(k)) becomes positive for
at least one wave number k = kc. 3.
Linear stability analysis with rescaled variables Then the uniform steady state is destabilized, leading to sponta-
neous development of wave patterns with critical wave number kc. If the imaginary part Im(λ(kc)) of
the unstable mode is zero, the first critical mode represents a stationary plane wave and the Turing
instability occurs. On the other hand, if Im(λ(kc)) ̸= 0, the critical mode is oscillatory in time and
periodic in space, so that the critical mode represents a traveling wave and the wave instability takes
place. 4.
Critical condition for the instabilities Boundary surface for the wave instability Iwav(m, p, s) = 0. The line touches the surface at a point P. Panel (b) is a close-up of (a). The parameters are fixed at n = q = r = α = β = γ = 1, m0 = 0.4, p0 = 0.4,
and s0 = −1.8. The diffusion constants are Du = 1, Dv = 1, and Dw = 14.521. Thus, the wave instability first takes place when, for one wave number k = kc, the equation Thus, the wave instability first takes place when, for one wave number k = kc, the equation v = (mps −npr + αqr −γ mq + βγ n −αβs)
+ (m + p + s)(mp + ps + sm −nr −γ q −αβ) = 0
(15) (15) becomes satisfied, where m, p, and s are given by Eqs. (10) with k = kc. The Turing instability first takes place when, for one wave number k = kc, the equation becomes satisfied, where m, p, and s are given by Eqs. (10) with k = kc. The Turing instability first takes place when, for one wave number k = kc, the equation comes satisfied, where m, p, and s are given by Eqs. (10) with k = kc. The Turing instability first takes place when, for one wave number k = kc, the equation Ist = −(mps −npr + αqr −γ mq + βγ n −αβs) = 0
(16) (16) becomes satisfied, where the coefficients m, p, and s are again given by Eqs. (10) with wave
number kc. It is convenient to introduce the three-dimensional m-p-s space in order to represent these con-
ditions graphically. As illustrated in Figs. 1 and 2, each of the conditions (15) and (16) defines a
boundary surface and Eqs. (10) determine a straight line which is parameterized by the wave
number k. If the line touches the boundary surface Iwav(m, p, s) = 0 or Ist(m, p, s) = 0, then
condition (15) or (16) is satisfied and the corresponding instability takes place. 4.
Critical condition for the instabilities The complex conjugate root theorem holds that a characteristic equation with real coefficients λ3 + aλ2 + bλ + c = 0
(11) (11) has either three real roots or one real root and a pair of complex conjugate roots. In the latter case,
the three roots can be written as has either three real roots or one real root and a pair of complex conjugate roots. In the latter case,
the three roots can be written as λ1,2 = ψ ± iω,
λ3 = φ,
(12) (12) so that the coefficients are represented as so that the coefficients are represented as a = −(2ψ + φ),
b = ψ2 + ω2 + 2ψφ,
c = −(ψ2 + ω2)φ. (13) (13) Combining these three equations, we obtain Combining these three equations, we obtain c −ab = −(ψ2 + ω2)φ + (2ψ + φ)(ψ2 + ω2 + 2ψφ)
= 2ψ
(ψ + φ)2 + ω2
. (14) (14) At the threshold of the wave instability, we have ψ = 0, so that c −ab = 0. At the threshold of
the Turing instability, we would have φ = 0, and therefore c = 0. Note that the Turing instability is
also possible when the characteristic equation has three real roots and one of them becomes positive. It can be easily checked that, also in this case, the instability threshold corresponds to c = 0. At the threshold of the wave instability, we have ψ = 0, so that c −ab = 0. At the threshold of
the Turing instability, we would have φ = 0, and therefore c = 0. Note that the Turing instability is
also possible when the characteristic equation has three real roots and one of them becomes positive. It can be easily checked that, also in this case, the instability threshold corresponds to c = 0. 4/17 PTEP 2014, 013A01 S. Hata et al. (a)
(b)
Fig. 1. Boundary surface for the wave instability Iwav(m, p, s) = 0. The line touches the surface at a point P. Panel (b) is a close-up of (a). The parameters are fixed at n = q = r = α = β = γ = 1, m0 = 0.4, p0 = 0.4,
and s0 = −1.8. The diffusion constants are Du = 1, Dv = 1, and Dw = 14.521. (a) (a)
(b) (b) (a) (b) Fig. 1. 5.
Sufficient conditions for wave instability The slope of the line in the x-s space is Du Dw/
Du2 + Dv2
and is nonnegative. The initial point P0 of the line is at (x0, s0) on the plane, where x0 =
(m0 + p0)/(A + 1). The point (x0, s0) is in the stable region of the x-s space. Thus, two surfaces
Iwav = 0 and Ist = 0 intersect the plane along the boundary curves ˆIwav = 0 and ˆIst = 0, that is is introduced on the plane in such a way that we have x = 0 when m + p = 0 holds. From the
conditions p = Am + B and (18), variables m and p are represented as m = x −B/(A + 1) and
p = Ax + B/(A + 1) on the plane. The slope of the line in the x-s space is Du Dw/
Du2 + Dv2
and is nonnegative. The initial point P0 of the line is at (x0, s0) on the plane, where x0 =
(m0 + p0)/(A + 1). The point (x0, s0) is in the stable region of the x-s space. Thus, two surfaces
Iwav = 0 and Ist = 0 intersect the plane along the boundary curves ˆIwav = 0 and ˆIst = 0, that is ˆIwav(x, s; A, B) = Iwav
x −
B
A + 1, Ax +
B
A + 1, s
= 0,
(19)
ˆIst(x, s; A, B) = Ist
x −
B
A + 1, Ax +
B
A + 1, s
= 0. (20) (19) (20) Below, we examine the dependences of the boundary curves ˆIwav = 0 and ˆIst = 0 on the parameters
m0, p0, s0, n, q, r, α, β, and γ . This allows us to obtain the parameter conditions under which the
wave instability can occur. onditions to satisfy Iwav = 0
ˆ 5.1. Conditions to satisfy Iwav = 0 5.
Sufficient conditions for wave instability The uniform steady state (¯u, ¯v, ¯w), corresponding to the plane-wave mode of wave number k = 0,
should be stable if diffusion is absent. In terms of the coefficients of the characteristic equation (11),
this implies that (17) a > 0, b > 0, c > 0
and
c −ab < 0,
(17) which is known as the Routh-Hurwitz criteria [5]. Note that the third and fourth criteria in (17)
are equivalent to the conditions Ist < 0 and Iwav < 0, respectively. Thus, the initial point P0 with
coordinates (m0, p0, s0) on the line (10) should lie inside the stable region in the m-p-s space. The wave instability takes place if the first critical mode is oscillatory. At the threshold of the wave
instability, the line defined by Eq. (10) should touch the boundary surface Iwav = 0 without having
intersections with the surface Ist = 0. 5/17 S. Hata et al. PTEP 2014, 013A01 Fig. 2. Boundary surface for the Turing instability Ist(m, p, s) = 0. The parameters are fixed at
n = q = r = α = β = γ = 1. Fig. 2. Boundary surface for the Turing instability Ist(m, p, s) = 0. The parameters are fixed at
n = q = r = α = β = γ = 1. Fig. 2. Boundary surface for the Turing instability Ist(m, p, s) = 0. The parameters are fixed at
n = q = r = α = β = γ = 1. Suppose that we want to check whether the wave instability can occur when the diffusion constant
Dw is varied. Let us denote A = Dv/Du and B = p0 −m0Dv/Du, and consider a plane p = Am +
B parallel to the s-axis. The line always lies on this plane irrespective of Dw, because the conditions
p0 = Am0 + B and Dv/Du = A are satisfied. A coordinate x = m + p
A + 1
(18) (18) is introduced on the plane in such a way that we have x = 0 when m + p = 0 holds. From the
conditions p = Am + B and (18), variables m and p are represented as m = x −B/(A + 1) and
p = Ax + B/(A + 1) on the plane. 5.1.
Conditions to satisfy Iwav = 0 Let us examine the shape of the boundary curve ˆIwav = 0 at large values of |s|. If |s| ≫1, we can
neglect O(s0) terms and obtain ˆIwav(x, s; A, B) ≈s
(1 + A)2x2 + s(1 + A)x −nr −γ q
. (21) (21) 6/17 PTEP 2014, 013A01 S. Hata et al. Then the boundary curve ˆIwav = 0 is given by the equation Then the boundary curve ˆIwav = 0 is given by the equation e ˆIwav = 0 is given by the equation (1 + A)2x2 + s(1 + A)x −nr −γ q = 0,
(22) (1 + A)2x2 + s(1 + A)x −nr −γ q = 0,
(22) (22) and we have x = 1
2
⎡
⎣−
s
A + 1 ±
s
A + 1
2
+ 4 nr + γ q
(A + 1)2
⎤
⎦
≃
s
2(A + 1)
−1 ±
1 + 2nr + γ q
s2
. (23) (23) From Eq. (21), the boundary curve approaches x = 0 in the limit of large |s| as (A + 1)xs2 = 0. (24) (24) Then the plus sign should be chosen in Eq. (23). Thus, the asymptotic boundary curve in the limit
s ≫1 is the hyperbola Then the plus sign should be chosen in Eq. (23). Thus, the asymptotic boundary curve in the limit
s ≫1 is the hyperbola xs = nr + γ q
A + 1 . (25) (25) If the coefficient of this hyperbola is negative, i.e. nr + γ q < 0, the boundary curve lies in the
region of x > 0 and s < 0. In such cases, given that x0 > 0, the line always touches the boundary
curve when increasing the diffusion constant Dw, as shown in Figs. 3 and 4. Therefore, we require
nr + γ q < 0 and x0 > 0 as a part of the sufficient conditions. Using the definitions of the model
parameters (4), these requirements can be written in terms of the Jacobian matrix as fwhu + gwhv < 0,
(26)
fu + gv > 0. (27) (26) (27) 5.2.
Conditions not to satisfy Ist = 0 5.2. Conditions not to satisfy Ist = 0
ˆ 5.2. Conditions not to satisfy Ist = 0
The boundary curve for the Turing instability ˆIst(x, s; A, B) = 0 is given by 5.2. Conditions not to satisfy Ist = 0
The boundary curve for the Turing instability ˆIst(x, s; A, B) = 0 is given by dary curve for the Turing instability ˆIst(x, s; A, B) = 0 is given by The boundary curve for the Turing instability ˆIst(x, s; A, B) = 0 is given by s(x) = −(A + 1)2(Anr + γ q)x −(A + 1)2(βγ n + αqr) + (A + 1)B(nr −γ q)
A(A + 1)2x2 −(A2 −1)Bx −αβ(A + 1)2 −B2
,
(28) (28) which is a single-valued function of x. which is a single-valued function of x. Let us assume that all three reactants diffuse over the space, Du ̸= 0, Dv ̸= 0, and Dw ̸= 0, which
leads to A ̸= 0. If the denominator on the right-hand side of Eq. (28) is not zero for all values of x,
then s(x) is a continuous function. Figure 3(a) illustrates the qualitative shape of the boundary curves
ˆIwav = 0 and ˆIst = 0 in such a situation. In this case, the line touches the boundary curve ˆIwav = 0
without intersecting ˆIst = 0 as Dw is increased. As a consequence, the wave instability takes place. The condition is given by (A2 −1)2B2 + 4A(A + 1)2
αβ(A + 1)2 + B2
< 0,
(29) (29) which implies fugv −fvgu > ( fu Dv + gv Du)2
4Du Dv
. (30) (30) If the denominator on the right-hand side of Eq. (28) vanishes at x−and x+, the boundary curve
ˆIst = 0 diverges in two ways depending on the values of n, q, r, α, β, and γ [Fig. 3(b) and (c)]. 7/17 S. Hata et al. PTEP 2014, 013A01 (c)
s
(x, s; A, B) = 0
ˆIwav
x
x0
(x, s; A, B) = 0
ˆIST
increasing
w
D
x-
x+
P0
G
(a)
(x, s; A, B) = 0
ˆIwav
s
x
x0
(x, s; A, B) = 0
ˆIST
increasing
w
D
(b)
s
(x, s; A, B) = 0
ˆIwav
x
x0
(x, s; A, B) = 0
ˆIST
increasing
w
D
x-
x+
P0
G
P0
G
Fig. 3. 5.2.
Conditions not to satisfy Ist = 0 Boundary curves ˆIwav = 0 (red) and ˆIst = 0 (blue) when (a) the condition (30) and (b, c) the condi-
tion (34) are satisfied. All species are mobile. The positions of the line defined by (10) are shown for two
different values of Dw. The boundary curve ˆIst = 0 can behave as shown in (b) or (c), depending on the model
parameters. (b)
s
(x, s; A, B) = 0
ˆIwav
x
x0
(x, s; A, B) = 0
ˆIST
increasing
w
D
x-
x+
P0
G (b) (a) G x (c)
s
(x, s; A, B) = 0
ˆIwav
x
x0
(x, s; A, B) = 0
ˆIST
increasing
w
D
x-
x+
P0
G (c) increasing
w
D Fig. 3. Boundary curves ˆIwav = 0 (red) and ˆIst = 0 (blue) when (a) the condition (30) and (b, c) the condi-
tion (34) are satisfied. All species are mobile. The positions of the line defined by (10) are shown for two
different values of Dw. The boundary curve ˆIst = 0 can behave as shown in (b) or (c), depending on the model
parameters. s
(x, s; A, B) = 0
ˆIwav
(a)
x
P0
x0
(x, s; A, B) = 0
ˆIST
increasing
w
D
G
p0 + p0 (x, s; A, B) = 0
ˆIwav
s
(b)
x
x0
(x, s; A, B) = 0
ˆIST
p0 + p0
s
(x, s; A, B) = 0
ˆIwav
(a)
x
P0
x0
(x, s; A, B) = 0
ˆIST
increasing
w
D
increasing
w
D
G
P0
G
p0 + p0
Fig. 4. Boundary curves ˆIwav = 0 (red) and ˆIst = 0 (blue). The reactant V does not diffuse (Dv = 0). The
line defined by (10) is shown as black lines for two different values of Dw. The boundary curve ˆIst = 0 can
behave as shown in (a) or (b), depending on the parameters n, q, r, α, β, and γ . (x, s; A, B) = 0
ˆIwav
s
(b)
x
x0
(x, s; A, B) = 0
ˆIST
p0 + p0
increasing
w
D
P0
G (b) (a) increasing
w
D Fig. 4. Boundary curves ˆIwav = 0 (red) and ˆIst = 0 (blue). The reactant V does not diffuse (Dv = 0). The
line defined by (10) is shown as black lines for two different values of Dw. 5.2.
Conditions not to satisfy Ist = 0 The boundary curve ˆIst = 0 can
behave as shown in (a) or (b), depending on the parameters n, q, r, α, β, and γ . 8/17 PTEP 2014, 013A01 S. Hata et al. In both cases, if x0 ≤x−, the line touches ˆIwav = 0 first. Thus, if the condition In both cases, if x0 ≤x−, the line touches ˆIwav = 0 first. Thus, if the condition x0 ≤x−= (A2 −1)B −(A + 1)2
B2 + 4αβ A
2A(A + 1)2
,
(31) (31) which is equivalent to which is equivalent to fugv −fvgu > 0
(32) fugv −fvgu > 0 (32) and and fu Dv + gv Du ≤0
(33) fu Dv + gv Du ≤0 (33) is satisfied, the wave instability takes place as Dw is increased. is satisfied, the wave instability takes place as Dw is increased. Next, we assume that the reactant V does not diffuse, that is Dv = 0, leading to A = 0. In this
case, the boundary curve ˆIst = 0 is given by s(x)|A=0 = −γ qx + βγ n + αqr + B(nr −γ q)
Bx −αβ −B2
,
(34) (34) which diverges at x = B + αβ/B = p0 + αβ/p0 [Figs. 4(a) and (b)]. In this case, if x0 ≤p0 +
αβ/p0, the line touches ˆIwav = 0 without intersecting ˆIst = 0 when Dw is increased. Thus, the
instability condition for a system with two diffusible reactants is given by which diverges at x = B + αβ/B = p0 + αβ/p0 [Figs. 4(a) and (b)]. In this case, if x0 ≤p0 +
αβ/p0, the line touches ˆIwav = 0 without intersecting ˆIst = 0 when Dw is increased. Thus, the
instability condition for a system with two diffusible reactants is given by x0 ≤p0 + αβ
p0
,
(35) (35) which implies gv( fugv −fvgu) ≤0. (36) (36) On the other hand, if the reactant U does not diffuse, Du = 0, one can choose a plane m = A′ p + B′
where A′ = Du/Dv and B′ = m0 −p0Du/Dv, and derive the condition fu( fugv −fvgu) ≤0. (37) (37) Thus, sufficient conditions for the wave instability under increasing diffusion constant Dw of the
reactant W has been derived for the four cases depending on the diffusion constants. The first two con-
ditions (26) and (27) are common to all cases. 5.2.
Conditions not to satisfy Ist = 0 The last condition depends on the diffusion constants,
i.e. we have ⎧
⎪⎪⎪⎪⎪⎨
⎪⎪⎪⎪⎪⎩
fugv −fvgu > ( fu Dv + gv Du)2
4Du Dv
(Du ̸= 0, Dv ̸= 0),
(38)
fugv −fvgu > 0
and
fu Dv + gv Du ≤0
(Du ̸= 0, Dv ̸= 0),
(39)
fu( fugv −fvgu) < 0
(Du = 0, Dv ̸= 0),
(40)
gv( fugv −fvgu) < 0
(Du ̸= 0, Dv = 0). (41) (38) (41) erent requirements can, however, be expressed in a single equation: These different requirements can, however, be expressed in a single equation: det
fu + Du
fv
gu
gv + Dv
̸= 0 for any < 0,
(42) (42) when at least two diffusion constants are non-vanishing. when at least two diffusion constants are non-vanishing. The wave instability may take place also under the variation of the other two diffusion constants
Du or Dv. The corresponding sufficient conditions for each case can be obtained by permutating the
three variables u, v, and w. 9/17 PTEP 2014, 013A01 S. Hata et al. In summary, the wave instability occurs under increasing diffusion constants Du, Dv, or Dw if the
conditions gv + hw > 0
and
gu fv + hu fw < 0
and
det
gv + Dv
gw
hv
hw + Dw
̸= 0 for any < 0,
(43) and
det
gv + Dv
gw
hv
hw + Dw
̸= 0 for any < 0,
(43) (43) hw + fu > 0
and
hvgw + fvgu < 0
and
det
hw + Dw
hu
fw
fu + Du
̸= 0 for any < 0,
(44) and
det
hw + Dw
hu
fw
fu + Du
̸= 0 for any < 0,
(44) (44) or or fu + gv > 0
and
fwhu + gwhv < 0
and
det
fu + Du
fv
gu
gv + Dv
̸= 0 for any < 0,
(45) and
det
fu + Du
fv
gu
gv + Dv
̸= 0 for any < 0,
(45) (45) are respectively satisfied. are respectively satisfied. are respectively satisfied. are respectively satisfied. 6.
Numerical examples In order to illustrate the results, we examine several three-component reaction-diffusion systems. The first example is a chemical reaction-diffusion system introduced by Meinhardt [16], where self-
enhancement of an activator U is antagonized by two inhibitors V and W. The system is described
by the equations ⎧
⎪⎪⎪⎪⎪⎪⎨
⎪⎪⎪⎪⎪⎪⎩
du
dt = −ruu +
s
u2 + bu
v
1 + suu2
(1 + sww) + Du∇2u,
dv
dt = −rvv + su2 + bv + Dv∇2v,
dw
dt = −rww + rwu + Dw∇2w. (46) (46) We fix the parameters at ru = 1.0, rv = 1.0, rw = 0.01, bu = 0.2, bv = 0, su = 0, sw = 2.0, and
s = 1.0, yielding the uniform steady state (¯u, ¯v, ¯w) ≃(0.646, 0.417, 0.646). The Jacobian matrix at
the uniform steady state is J ≃
⎛
⎜⎝
0.352
−1.548
−0.564
1, 291
−1
0
0.01
0
−0.01
⎞
⎟⎠. (47) (47) This satisfies the conditions (17), so that the uniform steady state is stable when diffusion is absent. Below, we demonstrate numerically wave instability in the system (46) to check the validity of the
derived conditions (43)–(45). Suppose that the inhibitor W does not diffuse, i.e. Dw = 0. In this case, the conditions (44) are
always satisfied irrespective of the diffusion mobility Du of the activator U. Thus, the wave instability
will be found when Dv is gradually increased. Figure 5 illustrates the linear stability analysis in this case, and also presents the results of numerical
simulations which were performed for a one-dimensional system under periodic boundary condi-
tions. The boundary surfaces Iwav = 0 and Ist = 0 and the x-p plane in the m-p-s space are shown 10/17 PTEP 2014, 013A01 S. Hata et al. space
time
0
0.2
0.4
0.6
0.8
3000
3100
3200
3300
0.58
0.6
0.62
0.64
0.66
0.68
0.7
0.72
3400
1
0
5
10
15
20
25
−0.1
−0.05
0
0.05
0.1
k / 2p
Re , Im
Re
Im
−2
−1
0
1
2
−15
−10
−5
0
x
p
(a)
(b)
(c)
(d)
P
P0
kc
Fig. 5. Wave instability in the model (46). (a) Boundary surfaces Iwav(m, p, s) = 0 (red surface),
Ist(m, p, s) = 0 (blue surface), and the x-p plane (gray transparent plane) in the three-dimensional m-p-s
space. 6.
Numerical examples (b) Boundaries ˆIwav(x, p) = 0 (red curve) and ˆIst(x, p) = 0 (blue curve) on the x-p plane. The lines
for two different diffusion constants, Dv = 2.5 (black dashed line) and Dv = 156 (black solid line), are shown. (c) The real part (red curve) and the imaginary part (blue curve) of the linear growth rate λ as functions of wave
number k. (d) The space-time plot of the final established patterns at Dv = 157.5. The diffusion constants of
two species U and W are fixed at Du = 2.5 and Dw = 0 in this figure. (a)
(c) −2
−1
0
1
2
−15
−10
−5
0
x
p
(b)
P
P0 (b) (a) (d) 0
5
10
15
20
25
−0.1
−0.05
0
0.05
0.1
k / 2p
Re , Im
Re
Im
(c)
kc (c) space
time
0
0.2
0.4
0.6
0.8
3000
3100
3200
3300
0.58
0.6
0.62
0.64
0.66
0.68
0.7
0.72
3400
1
(d) Fig. 5. Wave instability in the model (46). (a) Boundary surfaces Iwav(m, p, s) = 0 (red surface),
Ist(m, p, s) = 0 (blue surface), and the x-p plane (gray transparent plane) in the three-dimensional m-p-s
space. (b) Boundaries ˆIwav(x, p) = 0 (red curve) and ˆIst(x, p) = 0 (blue curve) on the x-p plane. The lines
for two different diffusion constants, Dv = 2.5 (black dashed line) and Dv = 156 (black solid line), are shown. (c) The real part (red curve) and the imaginary part (blue curve) of the linear growth rate λ as functions of wave
number k. (d) The space-time plot of the final established patterns at Dv = 157.5. The diffusion constants of
two species U and W are fixed at Du = 2.5 and Dw = 0 in this figure. in Fig. 5(a). Note that, while the variable x was introduced by using the variables m and p in Eq. (18),
here it depends on the variables s and m, so that the line lies on the x-p plane irrespective of the
value of Dv. The boundary curves ˆIwav = 0 and ˆIst = 0 in the x-p plane are shown in Fig. 5(b). Figure 5(c) plots the linear growth rate λ for the instability threshold. The emerging wave pattern is
shown in Fig. 5(d). PTEP 2014, 013A01 PTEP 2014, 013A01 S. Hata et al. As another example, we apply our theory to an ecological reaction-diffusion (dispersal predator-
prey) system with three species U, V , and W, where the top predator W feeds on intermediate species
V , which is in turn a predator for prey U. All species are able to diffuse, and their diffusion constants
are different. Such a system can be modelled by the equations ⎧
⎪⎪⎪⎪⎪⎪⎨
⎪⎪⎪⎪⎪⎪⎩
du
dt =
au −buu −cu
w
u + μ
u + Du∇2u,
dv
dt =
av
1 −cv
v
u
−dv
w
v + ν
v + Dv∇2v,
dw
dt =
aw
1 −dw
w
v
w + Dw∇2w,
(48) (48) where the Holling type II dependence and a linear function are employed to describe the predator-
prey interactions [5,17]. The parameters are fixed at au = 3, bu = 1, cu = 1, av = 6, cv = 1,
dv = 1, aw = 4, dw = 0.25, and μ = ν = 0.25, which give a uniform steady state (¯u, ¯v, ¯w) ≃
(1.084, 2.557, 10.23). If all species have the same mobilities, Du = Dv = Dw, the steady state is
stable. The Jacobian matrix at the steady state is J ≃
⎛
⎜⎝
0.471
−0.813
0
5.552
0.962
−0.911
0
16
−4
⎞
⎟⎠. (49) (49) By substituting this into the inequalities (45), one can directly verify that the system satisfies the
sufficient conditions. Then, our theory tells us that the wave instability will take place when the
diffusion constant Dw of the predator W is increased. Figure 6(a) shows the boundary surfaces Iwav = 0 and Ist = 0 and the x-s plane in m-p-s space. The boundary curves ˆIwav = 0 and ˆIst = 0 in the x-s plane are displayed in Fig. 6(b). Figure 6(c)
gives the linear growth rate λ as a function of the wave number k at the instability threshold. The
developed wave pattern is shown in Fig. 6(d). Starting from equal mobilities of all three species, Du = Dv = Dw = 20, the mobility Dw of the
top predator W is gradually increased. When it comes up to a threshold Dw = 892, the line touches
the boundary curve ˆIwav = 0 without having intersections with ˆIst = 0 [Fig. 6(b)]. 6.
Numerical examples Starting from equal mobilities of the species U and V , Du = Dv = 2.5, we gradually increase the
mobility Dv. When it reaches a certain threshold, the line touches the boundary curve ˆIwav = 0 at
P0 without having intersections with ˆIst = 0, as shown in Fig. 5(b). At the instability threshold, the
real part of the linear growth rate vanishes, Reλ(k) = 0, for the critical wave number kc ≃8, whereas
the imaginary part remains finite [Fig. 5(c)]. Thus, the wave instability takes place and the uniform
steady state becomes unstable. When the instability occurs, traveling waves with wave number k = 8
spontaneously develop, as can be seen in Fig. 5(d). 11/17 PTEP 2014, 013A01 Correspondingly,
the real part of the linear growth rate vanishes at the threshold, Reλ(k) = 0, for the critical wave
number kc ≃4, whereas the imaginary part remains finite [Fig. 6(c)]. As a result, the wave insta-
bility takes place and the uniform steady state becomes unstable. After the instability, spontaneous
development of traveling wave patterns with wave number k = 4 is observed [Fig. 6(d)]. Thus, as
illustrated by the above examples, the derived sufficient conditions (43)–(45) indeed provide a useful
criterion when searching for the wave instabilities in specific reaction-diffusion systems. It should be emphasized that the derived conditions (43)–(45) are sufficient, but not necessary. This
means that systems may exist where such conditions do not hold, but the wave instability is observed
nonetheless. An example of such a situation is provided by the extended Brusselator system [12]: ⎧
⎪⎪⎪⎪⎪⎨
⎪⎪⎪⎪⎪⎩
du
dt = a −(1 + b)u + u2v −cu + dw + Du∇2u,
dv
dt = bu −u2v + Dv∇2v,
dw
dt = cu −dw + Dw∇2w,
(50) (50) 12/17 PTEP 2014, 013A01 S. Hata et al. space
time
0.2
0.4
0.6
0.8
1
3000
3005
3010
3015
1
1.02
1.04
1.06
1.08
1.1
1.12
1.14
1.16
−20
−15
−10
−5
0
s
−3
−2
−1
0
1
2
k / 2
0
2
4
6
8
10
−1.5
−1
−0.5
0
0.5
1
1.5
Re λ
Re λ
Im λ
kc
0.5
1
1.5
2
2.5
3
3.5
Im λ
0
3020
π
x
(a)
(b)
(c)
(d)
P0
P
Fig. 6. Wave instability in the ecological model (48). (a) Boundary surfaces Iwav(m, p, s) = 0 (red surface),
Ist(m, p, s) = 0 (blue surface), and the x-s plane (gray transparent plane) in the three-dimensional m-p-s
space. (b) Boundaries ˆIwav(x, s) = 0 (red curve) and ˆIst(x, s) = 0 (blue curve) on the x-s plane. The lines
for two different diffusion constants, Dw = 20 (black dashed line) and Dw = 892 (black solid line), are shown. (c) The real part (red curve) and the imaginary part (blue curve) of the linear growth rate λ as functions of the
wave number k. (d) The space-time plot of the final established patterns at Dw = 900. The diffusion constants
of the two species U and V are fixed at Du = Dv = 20 in this figure. PTEP 2014, 013A01 (a)
( ) −20
−15
−10
−5
0
s
−3
−2
−1
0
1
2
x
(b)
(d)
P0
P (a) (b) k / 2
0
2
4
6
8
10
−1.5
−1
−0.5
0
0.5
1
1.5
Re λ
Re λ
Im λ
kc
0.5
1
1.5
2
2.5
3
3.5
Im λ
π
(c) (c) (d) space
time
0.2
0.4
0.6
0.8
1
3000
3005
3010
3015
0
3020
( ) Fig. 6. Wave instability in the ecological model (48). (a) Boundary surfaces Iwav(m, p, s) = 0 (red surface),
Ist(m, p, s) = 0 (blue surface), and the x-s plane (gray transparent plane) in the three-dimensional m-p-s
space. (b) Boundaries ˆIwav(x, s) = 0 (red curve) and ˆIst(x, s) = 0 (blue curve) on the x-s plane. The lines
for two different diffusion constants, Dw = 20 (black dashed line) and Dw = 892 (black solid line), are shown. (c) The real part (red curve) and the imaginary part (blue curve) of the linear growth rate λ as functions of the
wave number k. (d) The space-time plot of the final established patterns at Dw = 900. The diffusion constants
of the two species U and V are fixed at Du = Dv = 20 in this figure. where activator U and inhibitor V react chemically, and the activator U reversibly transforms into
non-reacting species W. The parameters are fixed at a = 1, b = 2.9, c = 1, and d = 1, which yield
the uniform steady state (¯u, ¯v, ¯w) = (1, 2.9, 1). The steady state is stable if all three species have the
same mobility, Du = Dv = Dw. The Jacobian matrix at the steady state is The Jacobian matrix at the steady state is J ≃
⎛
⎜⎝
0.9
1
1
−2.9
−1
0
1
0
−1
⎞
⎟⎠,
(51) (51) which gives fu + gv < 0 and fwhu + gwhg > 0. Thus, the system does not satisfy the condi-
tions (45). which gives fu + gv < 0 and fwhu + gwhg > 0. Thus, the system does not satisfy the condi-
tions (45). However, numerical simulations show that the wave instability takes place in this model when
the nonreactive species W diffuses sufficiently faster than the other two species (Fig. 7). The linear 13/17 PTEP 2014, 013A01 S. Hata et al. PTEP 2014, 013A01 space
time
0.2
0.4
0.6
0.8
1
3000
3020
3040
3060
3080
0.98
0.985
0.99
0.995
1
1.005
1.01
1.015
1.02
k / 2
Im λ
0
3100
π
(a)
(b)
0
5
10
15
20
25
−0.2
−0.1
0
0.1
0.2
Re λ
0.5
0.7
0.9
1.1
1.3
Re λ
Im λ
kc
Fig. 7. Wave instability in the extended Brusselator system (50). (a) The real part (red curve) and the imaginary
part (blue curve) of the linear growth rate λ at the instability threshold as functions of wave number k. (b) The
space-time plot of the final established pattern at Du = Dv = 0.3 and Dw = 6.95. k / 2
Im λ
π
(a)
0
5
10
15
20
25
−0.2
−0.1
0
0.1
0.2
Re λ
0.5
0.7
0.9
1.1
1.3
Re λ
Im λ
kc (a) (b) space
time
0.2
0.4
0.6
0.8
1
3000
3020
3040
3060
3080
0.98
0.985
0.99
0.995
1
1.005
1.01
1.015
1.02
0
3100
(b) Fig. 7. Wave instability in the extended Brusselator system (50). (a) The real part (red curve) and the imaginary
part (blue curve) of the linear growth rate λ at the instability threshold as functions of wave number k. (b) The
space-time plot of the final established pattern at Du = Dv = 0.3 and Dw = 6.95. growth rate as a function of wave number is shown in Fig. 7(a). The established traveling wave pattern
is displayed in Fig. 7(b). growth rate as a function of wave number is shown in Fig. 7(a). The established traveling wave pattern
is displayed in Fig. 7(b). 7.
Discussion and conclusions We have constructed alternative sufficient conditions for the wave instability in general three-
component reaction-diffusion systems. The conditions are formulated in terms of the Jacobian matrix
elements at a steady state and of the diffusion constants. They do not depend on model details. Once
these conditions are satisfied, wave instability occurs as we increase the diffusion mobility of one of
the reacting species. Our general results are applicable for systems of various origins, including biological, chemical,
physical, and ecological systems. Our analysis has revealed that the wave instability may occur even if
one of three reactants is immobile. This result can be important in a variety of applications involving
both diffusible and non-diffusible reactants. In contrast to necessary and sufficient conditions, different sets of merely sufficient conditions
may be derived and hold for the same system. In fact, another set of sufficient conditions for the
wave instability in general three-species reaction-diffusion systems has recently been constructed in
Ref. [15]. In Ref. [15], the authors focused particularly on how the stability of a three-species system is
affected by instabilities of its two-species subsystems. They classified the instabilities of the subsys-
tems into several types and analyzed their effect on the complete three-species system in detail. Their
investigation was based on linear stability analysis, and the sufficient conditions were formulated in
terms of the elements of the Jacobian matrix and the diffusion constants of the three species. They
also derived sufficient conditions for the classical (stationary) Turing instability in three-component
reaction-diffusion systems. In our study, we have constructed the sufficient conditions using a different method, based on linear
stability analysis and inspection of the instability threshold in the parameter space. Once the Jacobian
matrix is obtained, the boundary surfaces of the instabilities and the line whose slope corresponds
to the diffusion constants of the three species can be drawn as in Figs. 1 and 2. If the line touches
the boundary surface as its slope is varied, the instability occurs. By considering the situation where 14/17 PTEP 2014, 013A01 S. Hata et al. the line always touches the boundary surfaces of the wave instability when one of the three diffusion
constants is increased, we have derived sufficient conditions that are different from those in Ref. [15]. We stress that these two sets of sufficient conditions are complementary. Acknowledgements The authors acknowledge the financial support through the DFG SFB 910 program “Control of Self-Organizing
Nonlinear Systems” in Germany, through the Fellowship for Research Abroad, KAKENHI and the FIRST
Aihara Project (JSPS), and the CREST Kokubu Project (JST) in Japan. 7.
Discussion and conclusions There is an overlap
between them, but neither set of sufficient conditions includes the other one. For example, our con-
ditions can predict the wave instability in the ecological model (48); however, this model does not
satisfy the conditions [(iv)–(1) and (2) in Corollary 1.1] derived in Ref. [15]. On the other hand,
our conditions cannot predict the wave instability in the extended Brusselator system (50), while the
conditions in Ref. [15, Sect. 3.2] can do this. Although our conditions have been derived for continuous media, they are also applicable for
reaction-diffusion networks where reactants diffuse over links and undergo local reactions on each
node [18–21]. In such systems, diffusion processes are described by the Laplacian matrix instead
of the Laplacian differential operator in Eqs. (1) and (2). Expanding small perturbations over eigen-
vectors of the Laplacian matrix, we obtain the same characteristic equation as that for continuous
media (9), where (m, p, s) are parameterized by the Laplacian eigenvalues instead of −k2 in
Eq. (10)—see Appendix A. Thus, the critical conditions Iwav = 0 and Ist = 0 are valid, so that we also
obtain the sufficient conditions (43)–(45) in networks. This may be useful for finding the oscillatory
Turing bifurcation in networks of coupled reactors or biological cells [22,23]. Appendix A.
Linear stability analysis on reaction–diffusion networks We consider three reactant species U, V , and W on a network of size N. The local densities of the
reactants on the network node i are denoted as ui = [U]i, vi = [V ]i, and wi = [W]i. The network
architecture is determined by the adjacent matrix A whose elements Ai j are 1 if the nodes i and j
are connected, and 0 otherwise. All reactants diffuse over network links and undergo local reactions
in each node. Such dynamics are described by the equations ⎧
⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨
⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩
˙ui = f (ui, vi, wi) + Du
N
! j=1
Li ju j,
˙vi = g(ui, vi, wi) + Dv
N
! j=1
Li jv j,
˙wi = h(ui, vi, wi) + Dw
N
! j=1
Li jw j,
(A1) (A1) for i = 1, . . . , N, where the functions f , g, and h specify the local reactions, Du, Dv, and Dw are
the diffusion constants of the three reactants, and Li j = Ai j −δi j
"
j Ai j is the Laplacian matrix. for i = 1, . . . , N, where the functions f , g, and h specify the local reactions, Du, Dv, and Dw are
the diffusion constants of the three reactants, and Li j = Ai j −δi j
"
j Ai j is the Laplacian matrix. j
The linear stability analysis is performed on the system in an analogous way to continuous media
(See Sect. 3). The system is assumed to have a uniform steady state (¯u, ¯v, ¯w) which is determined by
f (¯u, ¯v, ¯w) = g(¯u, ¯v, ¯w) = h(¯u, ¯v, ¯w) = 0. Small perturbations are introduced on the steady state
as (ui, vi, wi) = (¯u, ¯v, ¯w) + (δui, δvi, δwi). We substitute this into Eq. (A1) to obtain linearized
differential equations. Introducing the rescaled variables in the same way as in Eq. (3), the linearized 15/17 PTEP 2014, 013A01
S. Hata et al. PTEP 2014, 013A01 S. Hata et al. are rewritten as differential equations are rewritten as differential equations are rewritten as are rewritten as ⎧
⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎨
⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎪⎩
d
d˜t δ ˜ui = m0δ ˜ui + αδ ˜vi + nδ ˜wi + Duμ
N
! j=1
Li jδ ˜u j,
d
d˜t δ ˜vi = βδ ˜ui + p0δ ˜vi + qδ ˜wi + Dvμ
N
! Appendix A.
Linear stability analysis on reaction–diffusion networks j=1
Li jδ ˜v j,
d
d˜t δ ˜wi = rδ ˜ui + γ δ ˜vi + s0δ ˜wi + Dwμ
N
! j=1
Li jδ ˜w j,
(A2) (A2) where m0, p0, s0, n, q, r, and μ are given in Eq. (5). Perturbations are expanded over a set of Laplacian
eigenvectors {φ(κ)
i
} as where m0, p0, s0, n, q, r, and μ are given in Eq. (5). Perturbations are expanded over a set of Laplacian
eigenvectors {φ(κ)
i
} as δ ˜ui(t) =
N
! κ=1
˜U (κ) exp[λ(κ)t]φ(κ)
i
,
δ ˜vi(t) =
N
! κ=1
˜V (κ) exp[λ(κ)t]φ(κ)
i
,
(A3)
δ ˜wi(t) =
N
! κ=1
˜W (κ) exp[λ(κ)t]φ(κ)
i
, (A3) where λ(κ) is the linear growth rate of the κth eigenmode. Substituting into Eq. (A2), we obtain the
following matrix equation for each eigenmode: where λ(κ) is the linear growth rate of the κth eigenmode. Substituting into Eq. (A2), we obtain the
following matrix equation for each eigenmode: λ(κ)
⎛
⎜⎝
˜U (κ)
˜V (κ)
˜W (κ)
⎞
⎟⎠=
⎛
⎜⎝
m0 + Duμ(κ)
α
n
β
p0 + Dvμ(κ)
q
r
γ
s0 + Dwμ(κ)
⎞
⎟⎠
⎛
⎜⎝
˜U (κ)
˜V (κ)
˜W (κ)
⎞
⎟⎠,
(A4) (A4) where (κ) is the Laplacian eigenvalue, which is defined by "
j Li jφ(κ)
j
= (κ)φ(κ)
i
. Assuming that
the equations (A4) have non-trivial solutions, we obtain the same characteristic equation as Eq. (9)
with where (κ) is the Laplacian eigenvalue, which is defined by "
j Li jφ(κ)
j
= (κ)φ(κ)
i
. Assuming that
the equations (A4) have non-trivial solutions, we obtain the same characteristic equation as Eq. (9)
with m = m(κ) = m0 + (κ)μDu,
p = p(κ) = p0 + (κ)μDv,
(A5)
s = s(κ) = s0 + (κ)μDw. (A5) Thus, the critical conditions for the instabilities (15) and (16) are valid, and therefore the sufficient
conditions (43)–(45) are also applicable for reaction-diffusion networks. [6] S. Sick, S. Reiniker, J. Timmer, and T. Schlake, Science, 314, 1447 (2006). [7] S. Kondo and R. Asai, Nature, 376, 765 (1995). y
(
)
[5] J. Murray, Mathematical Biology (Springer, New York, 2003). ( p
g
)
[4] H. Meinhardt and A. Gierer, Bioessays, 22, 753 (2000). D. Walgraef, Spatio-Temporal Pattern Formation, with Examples in Physics, Chemistry and Materia
Science (Springer, New York, 1997). [1] A. M. Turing, Philos. Trans. R. Soc. London B, 237, 37 (1952). ] A. M. Turing, Philos. Trans. R. Soc. London B, 237, 37 (1952). References [1] A. M. Turing, Philos. Trans. R. Soc. London B, 237, 37 (1952). [1] A. M. Turing, Philos. Trans. R. Soc. London B, 237, 37 (1952). [2] E. Knobloch and J. De Luca, Nonlinearity, 3, 975 (1990). [3] D. Walgraef, Spatio-Temporal Pattern Formation, with Examples in Physics, Chemistry and Materials
Science (Springer, New York, 1997). [3] D. Walgraef, Spatio-Temporal Pattern Formation, with Examples in Physics, Chemistry and Materials
Science (Springer, New York, 1997). [4] H. Meinhardt and A. Gierer, Bioessays, 22, 753 (2000). [5] J. Murray, Mathematical Biology (Springer, New York, 2003). 16/17 PTEP 2014, 013A01 S. Hata et al. [8] A. Nakamasu, G. Takahashi, A. Kanbe, and S. Kondo, Proc. Natl. Acad. Sci. U.S.A., 106, 8429 (2009). [9] V. Castets, E. Dulos, J. Boissonade, and P. De Kepper, Phys. Rev. Lett., 64, 2953 (1990). [8] A. Nakamasu, G. Takahashi, A. Kanbe, and S. Kondo, Proc. Natl. Acad. Sci. U.S.A., 106, 8429 (2009). y
(
)
[10] Q. Ouyang and H. L. Swinney, Nature, 352, 610 (1991). [10] Q. Ouyang and H. L. Swinney, Nature, 352, 610 (1991). yang and H. L. Swinney, Nature, 352, 610 (1991). [12] L. Yang, M. Dolnik, A. M. Zhabotinsky, and I. R. Epstein, J. Chem. Phys., 117, 7259 ] L. Yang, M. Dolnik, A. M. Zhabotinsky, and I. R. Epstein, J. Chem. Phys., 117, 7259 (2002). [13] V. K. Vanag and I. R. Epstein, Phys. Rev. Lett., 87, 228301 (2001). ] V. K. Vanag and I. R. Epstein, Phys. Rev. Lett., 87, 228301 (2001). ] K. A. J. White and C. A. Gilligan, Philos. Trans. R. Soc. London B, 353, 543 (1998). [14] K. A. J. White and C. A. Gilligan, Philos. Trans. R. Soc. London B, 3 ] A. Anma, K. Sakamoto, and T. Yoneda, Kodai Math. J., 35, 215 (2012). [15] A. Anma, K. Sakamoto, and T. Yoneda, Kodai Math. J., 35, 215 (2012) [16] H. Meinhardt, Physica D, 199, 264 (2004). [
]
y
(
)
[17] C. S. Holling, The Canadian Entomologist, 91, 385 (1959). [17] C. S. Holling, The Canadian Entomologist, 91, 385 (1959). 17] C. S. Holling, The Canadian Entomologist, 9 [18] H. Nakao and A. S. Mikhailov, Nat. Phys., 6, 544 (2010). [18] H. Nakao and A. S. Mikhailov, Nat. Phys., 6, 544 (2010). [19] S. Hata, H. Nakao, and A. S. Mikhailov, Europhys. Lett., 98, 64004 (2012). [19] S. Hata, H. Nakao, and A. S. References Mikhailov, Europhys. Lett., 98, 64004 (2012). [20] N. E. Kouvaris, H. Kori, and A. S. Mikhailov, PLoS ONE, 7, 45029 (2012). [20] N. E. Kouvaris, H. Kori, and A. S. Mikhailov, PLoS ONE, 7, 45029 (2012). [21] M. Wolfrum, Physica D, 241, 1351 (2012). y
(
)
[22] H. G. Othmer and L. E. Scriven, J. Theor. Biol., 32, 507 (1971). 22] H. G. Othmer and L. E. Scriven, J. Theor. Bio [23] W. Horsthemke, K. Lam, and P. K. Moore, Phys. Lett. A, 328, 444 (2004) [23] W. Horsthemke, K. Lam, and P. K. Moore, Phys. Lett. A, 328, 444 (2004). 17/17
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Corrections to “Multicriteria and Statistical Approach to Support the Outranking Analysis of the OECD Countries”
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IEEE access
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DANIEL AUGUSTO DE MOURA PEREIRA
1, MARCOS DOS SANTOS
2,
IGOR PINHEIRO DE ARAÚJO COSTA
3,4, MIGUEL ÂNGELO LELLIS MOREIRA
3,4,
ADILSON VILARINHO TERRA3,4, CLAUDIO DE SOUZA ROCHA JUNIOR
4,
AND CARLOS FRANCISCO SIMÕES GOMES
4
1Production Engineering Department, Federal University of Campina Grande (UFCG), Campina Grande 58428-830, Brazil
2Systems and Computing Department, Military Institute of Engineering (IME), Rio de Janeiro 22290-270, Brazil
3Naval Systems Analysis Centre, Rio de Janeiro 20180-001, Brazil
4Production Engineering Department, Federal Fluminense University, Rio de Janeiro 24220-008, Brazil
Corresponding author: Igor Pinheiro De Araújo Costa (costa_igor@id.uff.br) In the above article [1], two references [2] and [3] were
missing. In the above article [1], two references [2] and [3] were
missing. article [1] has a similar part in statistical approach with the
two references [2] and [3]. The first sentence of Section III should read ‘‘This
section aims to present an extensive methodological anal-
ysis concerning [2] and [3]. Comparing [1] to [2] and
[3], the study presents a multimethodological approach,
integrating methodological concepts based on MCDA,
through the PROMETHEE-SAPEVO-M1, ELECTRE-MOr,
and VIKOR methods, building the ranking of countries
from OECD.’’ [3] E. P. Eufrazio, ‘‘Proposition of a synthetic quality of life index: An appli-
cation of multivariate analysis and clustering using the OECD bet-
ter life index,’’ Federal Fluminense Univ., Niterói, Brazil, Tech. Rep.,
2019. eived 30 September 2022, accepted 30 September 2022, date Received 30 September 2022, accepted 30 September 2022, date of current version 13 October 2022. Digital Object Identifier 10.1109/ACCESS.2022.3211691 This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
VOLUME 10, 2022 REFERENCES [1] D. A. D. M. Pereira, M. D. Santos, I. P. De Araujo Costa, M. A. L. Moreira,
A. V. Terra, C. D. S. R. Junior, and C. F. S. Gomes, ‘‘Multicrite-
ria and statistical approach to support the outranking analysis of the
OECD countries,’’ IEEE Access, vol. 10, pp. 69714–69726, 2022, doi:
10.1109/ACCESS.2022.3187001. [2] E. P. Eufrazio and H. G. Costa, ‘‘A proposed synthetic index of
quality life for OECD countries,’’ in Innovation for Systems Infor-
mation and Decision Meeting. Cham, Switzerland: Springer, 2020,
pp. 62–76. One sentence is appended as acknowledgment: ‘‘The
authors would also like to express their sincere gratitude to
Prof. H. G. Costa and Prof. E. P. Eufrazio for their discussion
in the statistical analysis.’’ [3] E. P. Eufrazio, ‘‘Proposition of a synthetic quality of life index: An appli-
cation of multivariate analysis and clustering using the OECD bet-
ter life index,’’ Federal Fluminense Univ., Niterói, Brazil, Tech. Rep.,
2019. The authors requested this correction for complemen-
ting missing references as well as explaining why the above is work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ 107630
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Patient-centred outcome metrology for healthcare decision-making
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Journal of physics. Conference series
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2017 IMEKO TC1-TC7-TC13 Joint Symposium
IOP Publishing
IOP Conf. Series: Journal of Physics: Conf. Series 1044 (2018) 012057 doi :10.1088/1742-6596/1044/1/012057 1
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution
of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Published under licence by IOP Publishing Ltd 5 To whom any correspondence should be addressed. E-mail: stefan.cano@modusoutcomes.com Abstract. Valid and precise quantification of clinical variables is essential for
appropriate interpretation to inform healthcare decision making. The outcomes
produced from different measurement procedures and instruments, purporting to
quantify the same measurand, should be directly comparable. This ensures the
appropriate application and widespread adoption of clinical research findings. Metrology provides a framework for the development of a common language of
reference measurement systems, which have the potential to improve the accuracy and
comparability of patients’ results. However, the practices, procedures and instruments
used in social measurement are currently excluded from any formal metrological
framework. In this paper, we build on previous arguments, and propose a new
international body to bring together metrology, psychometrics, philosophy, and clinical
management to support the global comparability and equivalence of measurement
results in patient centred outcome measurement to improve healthcare. Patient-centred outcome metrology for healthcare decision-
making S J Cano1,5, L R Pendrill2, S P Barbic3 and W P Fisher Jr4 S J Cano1,5, L R Pendrill2, S P Barbic3 and W P Fisher Jr4
1 Modus Outcomes, Spirella Building, Letchworth Garden City, SG6 4ET,
UK
2 RI.SE, Eklandagatan 86, S-412 61, Göteborg, Sweden
3 Faculty of Medicine, Department of Occupational Science and Occupational
Therapy, the University of British Columbia, Vancouver, BC V6T 2A1, Canada
4 BEAR Center, Graduate School of Education, University of California, Berkeley,
CA 92720 USA S J Cano1,5, L R Pendrill2, S P Barbic3 and W P Fisher Jr4
1 Modus Outcomes, Spirella Building, Letchworth Garden City, SG6 4ET,
UK
2 RI.SE, Eklandagatan 86, S-412 61, Göteborg, Sweden
3 Faculty of Medicine, Department of Occupational Science and Occupational
Therapy, the University of British Columbia, Vancouver, BC V6T 2A1, Canada
4 BEAR Center, Graduate School of Education, University of California, Berkeley,
CA 92720 USA 1 Modus Outcomes, Spirella Building, Letchworth Garden City, SG6 4ET,
UK 2 RI.SE, Eklandagatan 86, S-412 61, Göteborg, Sweden
3 Faculty of Medicine, Department of Occupational Science and Occupational
Therapy, the University of British Columbia, Vancouver, BC V6T 2A1, Canada
4 BEAR Center, Graduate School of Education, University of California, Berkeley,
CA 92720 USA 2 RI.SE, Eklandagatan 86, S-412 61, Göteborg, Sweden
3 Faculty of Medicine, Department of Occupational Science and Occupational
Therapy, the University of British Columbia, Vancouver, BC V6T 2A1, Canada
4 BEAR Center, Graduate School of Education, University of California, Berkeley,
CA 92720 USA E-mail: stefan.cano@modusoutcomes.com 1. Introduction Previously, we put social measurement ‘on trial’, and provided two perspectives arguing why
measurement in the social and in the physical sciences are incompatible and countered with two
perspectives supporting compatibility [1]. We concluded that measurement, whether physical or social,
should have the same definition (i.e., the ratio of two magnitudes of the same thing in which the
denominator is the unit, providing for invariant comparisons) and the same broad goal (i.e.,
quantification of meaningful variables). The role of social measurement methods in high-stakes decision
making for education, psychology, and health more generally, highlights the need for the field to
advance. We offered a way forward potentially applicable to both physical and social measurement (see
section 3 below). In this paper, we proffer potential next steps, focussing on the area of healthcare. We 2017 IMEKO TC1-TC7-TC13 Joint Symposium 1234567890 ‘’“”
IOP Conf. Series: Journal of Physics: Conf. Series 1044 (2018) 012057 doi :10.1088/1742-6596/1044/1/012057 propose establishing a joint international effort aimed at delivering patient-centred outcome measures
(PCOMs) in support of healthcare policy decision-making. propose establishing a joint international effort aimed at delivering patient-centred outcome measures
(PCOMs) in support of healthcare policy decision-making. 2. The quest for better healthcare Patient experience affects patient safety, clinical effectiveness, allocation of funding [2], and is
associated with: health outcomes; adherence to therapeutic regimens; preventative care; healthcare
resources; quality of care delivery; and adverse events [3]. It is unsurprising, then, that patients who are
more engaged in decision-making have better outcomes [4]. Therefore, decision makers within health
systems increasingly rely on timely and relevant information about patient outcomes to improve policy
and practice. PCOMs are instruments (e.g., questionnaires, biometric equipment, wearables) that quantify
patients’ health, health-related quality of life and other latent health constructs, such as pain, mood, and
function. They can also be used to quantify patient experience and satisfaction of healthcare, which play
an increasingly central role in evidence-based medicine [5]. PCOMs have the potential to ‘speak’ to
patients, carers and clinicians. Used alone, or in tandem with surrogate data (e.g., analysed in the
laboratory), PCOMs offer the opportunity for more meaningful and interpretable measurement of patient
outcomes. This helps to improve our understanding of the natural course of disease and guiding
treatment decisions. There is increasing interest in embedding PCOMs within health information systems [6]. It has
been suggested that they have the potential to transform healthcare into a more patient-centred model
[7]. In 2017, the Organisation for Economic Cooperation and Development (OECD) went so far as to
claim that a specific type of PCOM (viz., patient reported outcome measures; PROMS) have a role in
benchmarking the performance of whole healthcare systems [8]. The routine collection of PROMs has
already been implemented internationally, including United Kingdom, Australia, United States of
America, Sweden, Canada, and the Netherlands [8]. Thus, PCOMs have a potentially significant role in modern healthcare policy decision-making and
evidence-informed practice. But are we able to deliver high-stakes measurement of this kind? Some
suggest not. For example, it has recently been estimated that only 10% of existing PROMs have been
developed based on patient-identified priorities [9]. In addition, reflecting upon the current OECD
initiative, Angela Coulter suggests that using PCOMs for high stakes decision making may be premature
[5]: “Multi-purpose applications of [PCOMs] - using them in individual clinical care and
aggregating the data for performance assessment - remains largely aspirational at
present...” Elizabeth Teisberg provides a potential reason as to why [10]: Elizabeth Teisberg provides a potential reason as to why [10]: 4. International co-operation, innovation and communication 4. International co operation, innovation and communication
In laboratory medicine, the standardization of measurements is a high priority, with the goal of
comparability of results obtained using routine procedures [16, 19]. Recommendations of the IFCC
Task Force on the Impact of Laboratory Medicine on Clinical Management and Outcomes (TF-ICO)
include: “Effective collaboration with clinicians, and a determination to accept patient outcome and
patient experience as the primary measure of laboratory effectiveness.” [14]. The benefits of this are
clear. For example, the standardization of cholesterol testing in the evaluation of cardiovascular risk
has led to savings in the region of 100 million USD/year in treatment costs with a parallel significant
reduction of untreated “false-negative” individuals who are at increased risk [20]. But international cooperation for developingreference measurement for PCOMs is in its infancy But, international cooperation for developing reference measurement for PCOMs is in its infancy. Its aims could include traceability, comparability, and the inclusion (and possible reduction) of
measurement uncertainty. This would require the consideration of five key components: 1) key
stakeholder involvement (including patients, clinicians, caregivers, policy makers); 2) a clear
definition of the measurand in regards to the intended clinical use [21]; 3) a clear definition of the
clinically allowable error of measurements; 4) international cooperation and consensus to navigate the
complexities of the development of metrologically sound reference measurement systems; and 5)
continued clinical validation of newly calibrated instruments. y
International cooperation would require the involvement of international metrology treaty
organizations, professional societies and federations devoted to improving measurement quality in
health sciences. One of its central functions would be an online database listing: reference materials;
reference methods; and reference measurement services meeting appropriate international standards. This database would allow PCOM providers to select references for calibration traceability and provide
support for suppliers of these services. In addition, it would be important to consider three key
components to navigate the complexity of the scientific and political landscapes. First, the development and evaluation of new PCOMs is time consuming and resource intensive. As such, we should move towards a non-competitive exercise where expertise and resources are pooled
to avoid the development of multiple instruments for the same purpose, thus engendering wider
reaching collaboration. Second, as our understanding of the etiology, sequalae, and natural history of
many diseases expands, we should be open to innovative ways to capture impact and patient benefit. Elizabeth Teisberg provides a potential reason as to why [10]: “The quest for better health care, driven by measuring safety and quality, is well
intentioned and has notable achievements. But like the Biblical story about building a better
city, the measurement effort has become a cacophonous muddle that is distracting
clinicians, raising the cost-of-care delivery, and not helping consumers make better health
care choices…The lack of measurement standards [has resulted]...in contradictory
conclusions…The problem isn’t requiring measurement; health care needs meaningful
measures…But…despite their vast number, the [existing] metrics don’t measure the things
that define health for patients and success for clinicians.” “The quest for better health care, driven by measuring safety and quality, is well
intentioned and has notable achievements. But like the Biblical story about building a better
city, the measurement effort has become a cacophonous muddle that is distracting
clinicians, raising the cost-of-care delivery, and not helping consumers make better health
care choices…The lack of measurement standards [has resulted]...in contradictory
conclusions…The problem isn’t requiring measurement; health care needs meaningful
measures…But…despite their vast number, the [existing] metrics don’t measure the things
that define health for patients and success for clinicians.” The absence of standardization of PCOMs, and lack of recourse to formal metrological frameworks,
can be ascribed to historical, ideological, and political differences [11]. But the deleterious sequalae of
this situation is profound [12-14]. PCOMs are currently in a position not dissimilar to the measurement
of temperature in the 17th Century [15]. As in other areas of clinical sciences [16], recourse to a
metrological framework can help to provide a resolution. 2 1234567890 ‘’“”
2017 IMEKO TC1-TC7-TC13 Joint Symposium
IOP Publishing
IOP Conf. Series: Journal of Physics: Conf. Series 1044 (2018) 012057 doi :10.1088/1742-6596/1044/1/012057 2017 IMEKO TC1-TC7-TC13 Joint Symposium 1234567890 ‘’“”
2017 IMEKO TC1-TC7-TC13 Joint Symposium
IOP Publishing
IOP Conf. Series: Journal of Physics: Conf. Series 1044 (2018) 012057 doi :10.1088/1742-6596/1044/1/012057 1234567890 ‘’“”
IOP Conf. Series: Journal of Physics: Conf. Series 1044 (2018) 012057 doi :10.1088/1742-6596/1044/1/012057 3. The promise of the synthesis of metrology, psychometrics and philosophy To ensure decision makers within health systems have access to the necessary objective evide
need the same kind of quality-assurance of PCOMs as is established in physics and engineeri q
y
p y
g
g [
]
This translates into assurance with objective metrological comparability (‘traceability’) and declared
measurement uncertainty. A possible way forward involves the synthesis of metrology, psychometrics
and philosophy [1]. Essentially, evidence-based measurement for evidence-based clinical management
would involve: • extending traditional metrological concepts via an operational model of a specific measurement
system, in which the output of the instrument (which could be human) in response to probing the
object (‘entity’) is a performance metric, i.e., how well the set-up performs an assessment [17]; • exploiting the unique properties of Rasch Measurement Theory [18], which enables key
metrological components (e.g., references for traceability and means of evaluating measurement
uncertainty) to be established; • exploiting the unique properties of Rasch Measurement Theory [18], which enables key
metrological components (e.g., references for traceability and means of evaluating measurement
uncertainty) to be established; • establishing metrological references founded on objective and clinically meaningful measurement
against the backdrop of the specific challenges of social measurement methods. 5. Towards a common language for patient-centred outcome metrology 5. Towards a common language for patient-centred outcome metrology
The comparability of findings among measurement procedures and instruments will result in
harmonization; a common language to enable interchangeability geographically and temporally. However, as described above, the situation is complex. For example, as Angela Coulter [5] flags,
different contexts will require different information needs. It is unlikely, that these needs are amenable
to perfect alignment. But with several individual and separate global initiatives currently happening
(e.g., ICHOM, COMET [22-25]) this will require more coherent coordination and alignment than is
currently the case. There are two components to this situation. First, universality is not an a priori fact of objective existence for some measured constructs. This
is typically assumed for physical variables, but not for others, such as psychological and social
variables. However, contrary to common assumptions, universality is not an inherent property, even
in the domains of physical variables, apart from language and culture. ‘Things’ in themselves do not
retain constant and invariant forms over time, space, and levels of information and organizational
complexity. Instead, universality is a social construct that emerges as a product of a particular way of
organizing experience. It arises via complex processes in which signal-noise ratios are lower than
would be expected if physical variables were objectively constituted in and of themselves [26]. The
counter-intuitive conundrum is that: “In order for a statistical logistics to enhance precise decision making, it has to incorporate
imprecision; in order to be universal, it has to carefully select its locales.” [26], p. 55 This kind of psychosocial stochastic resonance (interdependency of noise and signal) has been posited
in other studies of scientific standards and universals [27], pp. 843-844; [28], pp. 69-71. Second, the incorporation of standards in information infrastructures must be sensitive to the
discontinuous shifts in context that occur across applications: “With the rise of decentralized technologies used across wide geographical distance, both the
need for common standards and the need for situated, tailorable and flexible technologies grow
stronger. A lowest common denominator will not solve the demand for customized possibilities;
neither will rigid standards resolve the issue.” [29], p.111 In relation to PCOMs, the general assumption is that common standards require common content;
the same questions asked of every patient in every health care context and no matter what the individual
patient's needs and conditions might be. 4. International co-operation, innovation and communication One size does not fit all, and the most appropriate fit-for-purpose instrumentation should be established
early on (e.g., de novo instruments, adaptation of existing instruments, exploitation of information
technology resources [e.g., computer adaptive testing], or mobile health technologies). Third, open
communication is key to establish wider dissemination of important patient research, further avoiding
the duplication of efforts, and involving a wider range of audiences. Ultimately, PCOMs will lead to 3 2017 IMEKO TC1-TC7-TC13 Joint Symposium 1234567890 ‘’“”
IOP Conf. Series: Journal of Physics: Conf. Series 1044 (2018) 012057 doi :10.1088/1742-6596/1044/1/012057 patient-based evidence and the realization of patient-centered care. Patients should always be involved
as key stakeholders in the process of identifying and interpreting meaningful clinical outcomes that
resonate with their experience, preferences, expectations and values. patient-based evidence and the realization of patient-centered care. Patients should always be involved
as key stakeholders in the process of identifying and interpreting meaningful clinical outcomes that
resonate with their experience, preferences, expectations and values. 5. Towards a common language for patient-centred outcome metrology indicates your health is good”) are not automatically commensurable with metalinguistic statements
(e.g., “your patients’ PCOM survey results indicate your care is producing satisfactory outcomes
relative to the outcomes obtained by your peers”) and neither are automatically commensurable with
metacommunicative statements (e.g., “if I adopt that new treatment modality perhaps my patients’
PCOMs will be superior to my colleagues’ PCOMs”). An individual’s array of clinical indicators and
responses to a health status survey may correspond well with expectations formed regarding the natural
history of a chronic disease or the developmental effects of aging and growth. The information relevant
and applicable at that level, however, is not the same as the information needed at the metalinguistic
or metacommunicative levels. The consequences of not attending to the specific demands that must be met to coordinate common
standards for expressing the information needed across these levels is well stated by Star and Ruhleder: “If we, in large-scale information systems implementation, design messaging systems blind to
the discontinuous nature of the different levels of context, we end up with organizations which
are split and confused, systems which are unused or circumvented, and a set of circumstances
of our own creation which more deeply impress disparities on the organizational landscape.”
[29], p. 118 “If we, in large-scale information systems implementation, design messaging systems blind to
the discontinuous nature of the different levels of context, we end up with organizations which
are split and confused, systems which are unused or circumvented, and a set of circumstances
of our own creation which more deeply impress disparities on the organizational landscape.”
[29], p. 118 Suggestions for coherently coordinating information across these levels are offered elsewhere [32,
33]. But, in the end, a common language for patient-centered outcome metrology would significantly
contribute to improvements in patient-centered care by allowing results of clinical studies undertaken
in different locations or times to be universally applied. The ‘semantic interoperability’ has to be good
i.e. the “the ability to ensure that the precise meaning of exchanged information is unambiguously
interpretable by any other system, service or user”, where we borrow the term from the context of
digital solutions that enable public administrations, businesses and citizens to benefit from
interoperable cross-border and cross-sector public services [34]. 5. Towards a common language for patient-centred outcome metrology The unworkable rigidity of this approach has prevented the
development of information infrastructure standards in health care that would be of great value in
patient care, quality improvement initiatives, and accountability. With the increasing availability of
computerized adaptive administrations of PCOM items from calibrated banks [30], this lowest
common denominator approach is being supplanted by methods better able to meet the demand for
customized information relevant to the needs of individual patients. p
But this shift from fixed forms to dynamically configured PCOMs is insufficient for the need of a
health care information infrastructure integrating local sensitivities with universal standards across
applications. In the same way public health has adopted an ecological frame of reference distinguishing
micro-, meso-, and macro-levels of complexity in its policy and practice implications [31], so too, must
PCOMs be used to similarly attend to the relational properties obtained in applications requiring
different forms of information and organization [29]. For example, spanning the gulf of complexity
from individual interpretation of PCOMs (micro-), aggregating outcomes for quality improvement
purposes (meso-), and producing theories of health status and the impact of care (macro-). Each level
demands a learning and subsequent relearning about patients' health status. g
q
g
p
In other words, denotative statements of fact at the local, individual level (e.g., “your PCO 4 2017 IMEKO TC1-TC7-TC13 Joint Symposium 1234567890 ‘’“”
2017 IMEKO TC1-TC7-TC13 Joint Symposium
IOP Publishing
IOP Conf. Series: Journal of Physics: Conf. Series 1044 (2018) 012057 doi :10.1088/1742-6596/1044/1/012057 1234567890 ‘’“”
2017 IMEKO TC1-TC7-TC13 Joint Symposium
IOP Publishing
IOP Conf. Series: Journal of Physics: Conf. Series 1044 (2018) 012057 doi :10.1088/1742-6596/1044/1/012057 1234567890 ‘’“”
IOP Conf. Series: Journal of Physics: Conf. Series 1044 (2018) 012057 doi :10.1088/1742-6596/1044/1/012057 indicates your health is good”) are not automatically commensurable with metalinguistic statements
(e.g., “your patients’ PCOM survey results indicate your care is producing satisfactory outcomes
relative to the outcomes obtained by your peers”) and neither are automatically commensurable with
metacommunicative statements (e.g., “if I adopt that new treatment modality perhaps my patients’
PCOMs will be superior to my colleagues’ PCOMs”). An individual’s array of clinical indicators and
responses to a health status survey may correspond well with expectations formed regarding the natural
history of a chronic disease or the developmental effects of aging and growth. The information relevant
and applicable at that level, however, is not the same as the information needed at the metalinguistic
or metacommunicative levels. 5. Towards a common language for patient-centred outcome metrology It would also support an effective
application of evidence-based medicine and use of guidelines (established by scientific or professional
bodies) to define specific decision limits for diagnosis and therapeutic interventions. Thus, a joint international effort aimed at delivering PCOMs in support of modern healthcare policy
decision-making could lead to the appropriate embedding of PCOMs in health systems. This would
allow us to evaluate the effectiveness and cost-effectiveness of major policy initiatives, to identify
conditions or interventions where substantial variation in patient outcome exists across providers, and
improve the choice of treatment plans for individual patients. References [1]
Cano S, Vosk T, Pendrill L and Stenner A J 2016 J. Phys. Conf. Series 772 012025
[2]
Basch E 2017 N. Engl. J. Med. 376 105-8
[3]
Doyle C, Lennox L and Bell D 2013 BMJ Open 3 e001570
[4]
Greenfield S, Kaplan S and Ware J 1985 Ann. Int. Med. 102 520-8
[5]
Coulter A 2017 BMJ 356 j816
[6]
Devlin N and Appleby J 2010 Getting the most out of PROMs: putting health outcomes at the
heart of NHS decision-making (London, UK: Kings Fund)
[7]
Black N 2013 BMJ 346 f167
[8]
OECD 2017 Recommendations to OECD Ministers of Health from the high-level reflection
group on the future of health statistics (Paris: OECD)
[9]
Wiering B, de Boer D and Delnoij D 2017 Health Expectations 20 11-23
[10] Teisberg E 2015 The Quality Tower Of Babel http://healthaffairs.org/blog [1]
Cano S, Vosk T, Pendrill L and Stenner A J 2016 J. Phys. Conf. Series 772 012025
[2]
Basch E 2017 N. Engl. J. Med. 376 105-8
[3]
Doyle C, Lennox L and Bell D 2013 BMJ Open 3 e001570
[4]
Greenfield S, Kaplan S and Ware J 1985 Ann. Int. Med. 102 520-8
[5]
Coulter A 2017 BMJ 356 j816
[6]
Devlin N and Appleby J 2010 Getting the most out of PROMs: putting health outcomes at the
heart of NHS decision-making (London, UK: Kings Fund) [7]
Black N 2013 BMJ 346 f167 [8]
OECD 2017 Recommendations to OECD Ministers of Health from the high-level reflection
group on the future of health statistics (Paris: OECD) [8]
OECD 2017 Recommendations to OECD Ministers of Health from the high-level reflection
group on the future of health statistics (Paris: OECD) ]
Wiering B, de Boer D and Delnoij D 2017 Health Expectations 20 11-23 [9]
Wiering B, de Boer D and Delnoij D 2017 Health Expectations 20 11-23 [10] Teisberg E 2015 The Quality Tower Of Babel http://healthaffairs.org/blog 5 2017 IMEKO TC1-TC7-TC13 Joint Symposium [11] Cano S and Hobart J 2011 Pat. Pref. Adherence 5 279-90 [12] Hunt S 1997 Qual. Life Res. 6 205-12 [12] Hunt S 1997 Qual. Life Res. 6 205-12 [13] Boyce M and Browne J 2013 Qual. Life Res. 22 2265-78 [13] Boyce M and Browne J 2013 Qual. Life Res. 22 2265-78 [14] Hobart J, Cano S, Zajicek J and Thompson A 2007 Lancet Neurol. 6 1094-105 [15] Chang H 2007 Inventing Temperature: Measurement and Scientific Progress (Oxford: Oxford
University Press) [16] Jones G and Jackson C 2016 Clin Chim Acta 453 86-94 [17] Pendrill L 2014 NCSLi Measure: The Journal of Measurement Science 9 22-33; Pendrill L R
and Petersson N 2016 Measurement Science & Technology, 27, 094003 [18] Andrich D 2017 J. Phys. Conf. Series in press [18] Andrich D 2017 J. Phys. Conf. Series in press [19] Hallworth M, et al 2015 Med Clin Chem 61 589–99 [20] Panteghini M 2007 Clin. Biochem. Rev. 28 97-104 [21] FDA 2013 Roadmap to Patient-focused Outcome Measurement in Clinical Trials
http://www.fda.gov/downloads/Drugs/DevelopmentApprovalProcess/DrugDevelopmentToolsQ
ualificationProgram/UCM370174.pdf [22] Gargon E et al 2015 Trials 18 54 [23] International Consortium for Health Outcomes Measurement (ICHOM) 2017. ICHOM and
OECD sign Letter of Intent to collaborate http://www.ichom.org/news/ichom-and-oecd-sign-
letter-of-intent-to-collaborate-on-the-collection-analysis-and-publishing-of-patient-reported-
outcomes/. [24] Williamson P R, et al 2012 Trials 13 132 [25] Porter M E, Larsson S and Lee T H 2016 N. Engl. J. Med. 374 504-6 [26] Berg M and Timmermans S 2000 Configurations 8 31-61 [26] Berg M and Timmermans S 2000 Configurations 8 31-61 [27] Galison P 1997 Image and logic (Chicago: University of Chicago Press) [28] Fisher W P and Wilson M 2015 Pensamiento Educativo: Revista de Investigacion Educacional
Latinoamericana 52 55-78 [29] Star S and Ruhleder K 1996 Info. Sys. Res. 7 111-34 [29] Star S and Ruhleder K 1996 Info. Sys. Res. 7 111-34 [30] Cook K, O'Malley K and Roddey T 2005 Health Serv. Res. 40 1694-711 [31] Susser M and Susser E 1996 Am. J. Public Health 86 674-7 [32] Fisher W P, Oon E and Benson S 2017 J. Phys. Conf. Series in press [33] Fisher W P and Stenner A J 2017 J. Phys. Conf. Series in press [34] ISA 2017 Interoperability Solution for European Public Administrations (EU Commission:
https://ec.europa.eu/isa2/isa2_en) [34] ISA 2017 Interoperability Solution for European Public Administrations (EU Commission:
https://ec.europa.eu/isa2/isa2_en) 6 6
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Influence of grass lawns on the summer thermal environment and microclimate of heritage sites: a case study of Fuling mausoleum, China
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Heritage science
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In§uence of Lawns on the Summer Thermal
Environment and Microclimate of Heritage Sites: A
Case Study of Fuling Mausoleum, China Xiaoyu Wang ( 704216608@qq.com ) oyu Wang ( 704216608@qq.com )
enyang University of Technology https://orcid.org/0000-0003-3223-6811 Keywords: Thermal environment; Microclimate; Fuling mausoleum; Heritage site; CFD simulation Keywords: Thermal environment; Microclimate; Fuling mausoleum; Heritage site; CFD simulation Research article Keywords: Thermal environment, Microclimate, Fuling mausoleum, Heritage site, CFD simulation
Posted Date: October 27th, 2020
DOI: https://doi.org/10.21203/rs.3.rs-92597/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 on January 13th, 2021. See the published
version at https://doi.org/10.1186/s40494-020-00479-9. Influence of lawns on the summer thermal environment and
microclimate of heritage sites: A case study of Fuling
mausoleum, China Xiaoyu Wang1*, Peng Liu1, Gongwen Xu1
1 School of Architecture & Civil Engineering, Shenyang University of Technology, Shenyang 110870, China *Corresponding author. E-mail address: 704216608@qq.com (X.Y. Wang) # Equal Contribution Abstract: The thermal environment and microclimate of heritage sites has been severely impacted
by rapid urbanization. This study collected various meteorological measurement data as a reference
for computational fluid dynamics (CFD) simulation settings. Then CFD was applied to simulate the
impact of lawns on the thermal environment and microclimate of Fuling Mausoleum. We found that
lawns and soil can cool the air through evaporation, and thus have a specific cooling effect on the
bricked ground. After lawns were planted, the bricked ground temperature decreased by 1.56–
17.54°C than that before lawns were planted at 14:00, a decrease of 2.68%–24.20%. Under normal
circumstances, when the wind speed or relative humidity increased, the ground temperature dropped. Greenbelt vegetation can adjust the microclimate and human thermal comfort indicators. The
consistency of the difference between the actual measurement and the CFD simulation results shows
that CFD simulation can thus accurately reflect the internal temperature field distribution if the
selection of simulation parameters is reasonable. Theoretical calculation and analysis, experimental
measurement research, and modern computer simulation analysis methods applied together
constitute a complete system for studying modern physical environmental problems and can provide
reliable and economic results. 1. Introduction As a result of the rapid expansion of urban areas, heritage sites that were initially
located in the suburbs or rural areas of many cities have gradually become important
inner city areas. The phenomenon of urbanization has caused severe impacts and
changes to the natural environment, and the environmental landscape is also
deteriorating. The natural vegetation cover has been replaced by buildings and urban
infrastructure, which results in the well-known urban heat island effect [1]. Several adaptation measures have been put into practice for their potential to affect
the urban microclimate, mainly to reduce high temperatures [2,3,4,5,6]. The greening
and vegetation of urban areas are the most investigated adaptation approaches as they
can reduce the surface temperature of the surrounding environment [3,7,8]. The
ambient temperature can also be decreased by evaporation and transpiration of plants. The main methods to study the effectiveness of vegetation in mitigating the heat island
effect are field measurements [7,9,10], ground control experiments [11], and
computational fluid dynamics (CFD) simulation [12,13,14,15,16,17,18]. Of these, CFD
evaluates the effectiveness of vegetation coverage in detail on the outdoor urban
microclimate, which is an economical and practical method of achieving accurate
predictions. Hong and Lin [19] used the outdoor thermal simulation platform to
discover the influence of the green layout on the outdoor environment and pedestrian
thermal comfort. Bruce and Fleer [12] used CFD and ENVI-met models to simulate the
microclimate and studied the impact of ground greening on the thermal stress coverage
of small parks. Dimoudi and Nikolopoulou [13] used CFD model to compare the
cooling effect of different methods and the vegetation arrangement in general building
facilities. Li and Yu [20] used CFD to simulate the thermal environment and residential
microclimate around a single building. They verified their simulation by comparing
between the measured data with simulated temperature of the outdoor thermal
environment around buildings. Bowler et al. [7] conducted an empirical study on the
effect of urban greening for cooling effect. The main emphasis of previous research is
on the evaluation of the indoor microclimate of heritage buildings and how to improve
the comfort of users. Corgnati et al. [21] also described a methodology for evaluating
the microclimate in museums between traditional convenience and thermal comfort. According to European standards such as EN 15251 [22], La Gennusa et al. [23]
analyzed the indoor climate and indoor environment in historical Italian buildings,
including temperature and humidity. 1. Introduction CFD technology involves the solving of various conservation control partial
differential equations describing fluid flow, heat transfer, and mass transfer and the
visualization of the different solved flow or heat transfer phenomena. CFD technology,
theoretical analysis and experimental research have become three essential fluid
mechanics research methods. These three methods complement each other [24,25]. To
our knowledge, few studies focus on the outdoor thermal environment and
microclimate for heritage sites. Because of urbanization around heritage sites, the
summer temperatures are increasing. This study focused on the cooling effect of
grassland and vegetation on the environment in summer. On the basis of actual
measurement, the CFD simulation experiment was applied to analyze the cooling effect
of the vegetation. First, infrared images and precise measurements are taken with an infrared thermal
imaging camera to collect various physical data in meteorology as a reference for CFD
simulation settings. Then, CFD was used to simulate the impact of lawns on the thermal
environment and microclimate of the heritage site. The research includes: 1) Analysis
and comparison of the actual measurement with simulation results; 2) Analysis of the
simulation results before and after lawns were planted; 3) Analysis of the simulation results at different wind speeds and relative humidity; and 4) Analysis and comparison
of the actual measurement of microclimate with the human thermal comfort index value. 2.1 Study site Shenyang is located in central Liaoning Province, southern northeast China
(41°12N–43°02N, 122°25E–123°48′E). Fuling Mausoleum is located in the eastern
suburbs of Shenyang. It is the tomb of the Qing patriarch Nurhachi and his queen
Yehenala and is one of the three mausoleums of Shengjing. Fuling Mausoleum was
built in 1629 and was completed in 1651. After a great deal of construction works
during the Shunzhi, Kangxi, and Qianlong periods of the Qing Dynasty, a large-scale
and well-equipped ancient emperor tomb complex was formed. When it was first built,
it was called “Xianhan Mausoleum” or “Taizu Mausoleum”. In the first year of
Chongde (1636), it was named “Fuling Mausoleum”, which implies the long-lasting
fortune of the Qing Dynasty [26]. In 2004, The Three Mausoleums of Shengjing
(referring to Fuling, Zhaoling, and Yongling Mausoleums), were included on the
UNESCO World Heritage Site List [27]. Fig.1 The environment surrounding Fuling Mausoleum
(white is the CFD simulation model). Fig.1 The environment surrounding Fuling Mausoleum
(white is the CFD simulation model). Fuling Mausoleum has a detailed layout and distinct levels and has a total area of
approximately 194,800m2. It is shaped like an inner city with an outer wall. It comprises
three parts—the front yard, the square city and the treasure city—and it gradually
increases in elevation from south to north. The mausoleum building complex remains
relatively intact [28]. There are 32 existing ancient buildings, which are symmetrically
distributed with the Shinto as the central axis. It is a complex of imperial tombs that
integrates the characteristics of the Manchu and Han ethnicities, which differs from the
tombs of the Ming Dynasty and those built after the Qing Dynasty [26]. This article
focuses on the three main buildings of Fuling Mausoleum: Stele Pavilion, Long’en Gate
and Long’en Hall (Fig. 1). 2.2 On-site measurements July is the hottest month of the year in Shenyang. The daily average temperature
is between 28 and 29°C, and the weather is usually in the range 24–32°C. The maximum
ground temperature can reach 63°C. In July, the average wind speed is 3.64–3.86 m/s
and the wind direction is mainly southerly [29]. On July 12, 2020, when field
measurements were taken at Fuling Mausoleum, the weather was clear and the wind
speed was relatively low. To study the impact of lawns on the summer thermal
environment and microclimate of Fuling Mausoleum, the project team members
selected five-time points—10:00, 11:00, 12:00, 13:00, and 14:00—and conducted the
field measurements at these times. The measuring instruments (Table 1, Fig.2) and
measurement groups taken were as follows: Table 1 Measuring instruments and measuring parameters
Measuring instruments
Measuring parameters
Instrument accuracy
Black bulb thermometer
Temperature and humidity tester
WBGT Tester
Air temperature
±0.1℃
Black bulb temperature
±0.1℃
WBGT Heat index
±0.1℃
Relative humidity
±5%RH
Anemometer
Wind speed
±3%或±0.1dgt
Infrared thermal imaging
thermometer
Object temperature imaging
±2%或±2℃
Heat flux sensor
Soil heat flux density、Heat flux
density of bricked ground
20-100 ㎶·w-1·m2 Table 1 Measuring instruments and measuring parameters Table 1 Fig. 2 Measuring instruments: (a) black bulb thermometer, (b) anemometer, (c) heat flux sensor
(photos by Xiaoyu Wang). Fig. 2 Measuring instruments: (a) black bulb thermometer, (b) anemometer, (c) heat flux sensor
(photos by Xiaoyu Wang). (1) Outdoor thermal environment. The primary measurement data were air
temperature, black bulb temperature, relative humidity, wind speed, and the wet bulb
globe temperature (WBGT) value. Measurement were taken 1.6 m from the ground in
the open area in front of Long’en Gate to obtain biological data to describe the
environment, and to measure the thermal environment and microclimate physical data
of the surrounding lawns and the bricked ground. (2) Infrared thermal imaging. The primary measurement contents were the real-
time temperature of the lawns and the bricked ground. The measurement locations were
selected in front of the Stele Pavilion, Long’en Gate, and Long’en Hall and included
the bricked ground and lawns to the left and right of these structures. Infrared thermal
imaging photos were taken to determine the real-time temperature at each measurement
point. (3) Surface heat flux measurement. The primary measurement contents were the
heat flux data for the bricked ground and the green soil. The heat flow measurement
points were placed on the floor of the bricked ground and at 10 cm soil depth in the
lawns to measure the heat flux data of the different ground surfaces. The surface of the
lawns was in an endothermic state and the measured heat flux was between −16.9 and
−16.8 W/m2, whereas the bricked ground was in an exothermic state, and its heat flux
was between 90.7 and 137.9 W/m2 (Table 2). Table 2 Actual measurement data
Time
(Hour)
Air
temperature
(℃)
Wind speed
(m/s)
Relative
humidity(%)
Heat flux of
lawns
(W/ m2)
Heat flux of
bricked
ground
(W/ m2)
10
26.1
3.6
68
-16
90.7
12
31.4
4
46.9
-16.8
108.9
14
33.7
5
40.1
-16.8
137.9 Table 2 2.3 CFD approach (2) Mesh settings The mesh system setting was a numerical calculation method based on the finite
volume method. The calculation area was divided into the appropriate mesh, and
calculations were performed to determine the mass, momentum, and energy conditions
in each mesh. In this study, the mesh was generated using ANSYS-ICEM CFD software
using tetrahedral elements in the fluid domain. The mesh contains between 2.35 and
2.4 million tetrahedral elements (Fig. 3). Fig.3 (a) General views of the computational domain (geometry and mesh) for Fuling Mausoleum. (b)
Detail of the mesh refinement with tetrahedral elements. Fig.3 (a) General views of the computational domain (geometry and mesh) for Fuling Mausoleum. (b)
Detail of the mesh refinement with tetrahedral elements. 2.3 CFD approach Based on the actual measurement and theoretical research, the heat flux
determined using ANSYS/Fluent was used to set two types of lawns and bricked ground
to simulate the thermal environment and microclimate [30]. The heat flux of lawns and
the bricked ground was measured as a reference. The grass material was found to absorb
heat, thus the heat flux was set to a negative value for these areas. Conversely, the brick
material emit heat, thus the heat flux was set to a positive value for these areas. (1) Calculation area and boundary condition settings (1) Calculation area and boundary condition settings The calculation area was set to a rectangular parallelepiped area (1200 m long, 400
m wide, and 70 m high). The calculation area was mainly based on the ancient buildings
from Stele Pavilion to Ming building and the surrounding environment. The inlet of the
simulation calculation range was set to the velocity inlet, the outlet was set to the
pressure outlet, the boundary condition of the ground was set to the wall, and the
external calculation domain was set to the symmetry to assume actual atmospheric
environmental conditions. (3) RNG k–ε Model We used the RNG k–ε model for viscous modeling. The RNG k–ε model was
proposed by Orszag and Yakhot [31]. Although similar in form to the standard k–ε
model, the RNG k–ε model is more accurate and reliable for a wider class of flows [32]. The turbulence kinetic energy, and its rate of dissipation, ε, are obtained from the
following transport equations [30]:
(
)
i
k
eff
k
b
M
k
i
j
j
k
k
ku
G
G
Y
S
t
x
x
x
(1) (1) and
2
1
3
2
(
)
i
eff
k
b
i
j
j
u
C
G
C G
C
R
S
t
x
x
x
k
k
(2) (2) where Gk and Gb represent the turbulence kinetic energy generated from the mean
velocity gradient and buoyancy, respectively; YM represents the contribution of the
fluctuating dilatation in compressible turbulence to the overall dissipation rate; αk and
αε denote the inverse effective Prandtl numbers for k and ε, respectively; and Sk and Sε
are user-defined source terms. (4) Wind profile (4) Wind profile Regarding the wind boundary layer over the terrain, the velocity profile specifying
the inlet boundary condition for each simulation was defined according to this well-
established equation [33], 10 10
p
n
z
z
U
U
(3) (3) Where Uz denotes the air velocity which depends on height z; U10 is the air velocity
at the height of 10 m (assumed to be 4 or 10 m/s); and np is the Hellman exponent,
which depends on the atmospheric stability and the nature of the terrain. np near the
suburbs of the city is assumed to be 0.22 [34]. (5) Settings of the numerical simulation scheme The real values collected according to actual measurement served as the basis for
the verification of the numerical simulations. The impact of lawns and bricked ground
on the thermal environment of ancient buildings was considered through the relative
evaluation of the various physical values. The basic parameters of each material are
shown in Table 3 [35]. The settings of the specific numerical simulation scheme are
shown in Fig. 4. Table 3 Basic parameters of each material
Material
Density
(kg·m-3)
Specific heat
capacity
(J·kg-1·k-1)
Thermal
Conductivity
(W·m-1·k-1)
Absorption
coefficient
Refractive
coefficient
Bricked
ground
2344
750
1.00
0.87
0.90
Wall
1800
840
1.00
0.73
0.92
Lawns
700
2310
1.20
0.00
0.20 Table 3 Basic parameters of each material Table 3 Figure 4. Settings of the specific numerical simulation scheme. Figure 4. Settings of the specific numerical simulation scheme. 3. Results and discussion The heat exchange and distribution in the thermal environment of this site
constitute a complex system, including various heat transfer processes such as
convection, radiation, and heat conduction among mountains, rivers, air, and the earth. We focus on the influence of lawns on the summer thermal environment and
microclimate of the architectural heritage site, which is mainly reflected in how wind Fig.5 Photo and infrared images of the site in front of Stele Pavilion: (a) photo of the site and
overhead of (b) lawns to the left, (c) bricked ground, (d) lawns to the right
(photo by Xiaoyu Wang). Fig.5 Photo and infrared images of the site in front of Stele Pavilion: (a) photo of the site and
overhead of (b) lawns to the left, (c) bricked ground, (d) lawns to the right
(photo by Xiaoyu Wang). speed, temperature, and humidity affect the cooling effect of vegetation. 3.1 Analysis of the actual measurement The project team took photos and infrared images of the bricked ground and lawns
to the left and right in front of Stele Pavilion, Long’en Gate, and Long’en Hall at the
five-time points and obtained the data for each measuring point. To accommodate space
limitations, we focused on the most explicit infrared image at 14:00 to study the role of
local lawns on the thermal environment and microclimate regulation. Figs. 5–7 present photos and infrared images of the bricked ground in front of
Stele Pavilion, Long’en Gate, and Long’en Hall and lawns to the left and right of these
sites taken at 14:00 using TESTO thermal imaging camera. The air temperature is
affected by solar radiation and ground radiation. The air temperature peaked at around
14:00. After the ground absorbed solar radiation, the temperature also increased. The
minimum temperature of green soil was still low, which indicates that the green soil
could cool air through evaporation and cause a relatively low surface temperature. However, at the same time, the massive radiation absorption coefficient of the soil
allowed it to absorb more heat radiation, which resulted in higher local heat production. Fig.6 Photo and infrared images of the site in front of Long’en Gate: (a) photo of the site and
overhead of (b) lawns to the left, (c) bricked ground, (d) lawns to the right
(photo by Xiaoyu Wang). Fig.6 Photo and infrared images of the site in front of Long’en Gate: (a) photo of the site and
overhead of (b) lawns to the left, (c) bricked ground, (d) lawns to the right
(photo by Xiaoyu Wang). Fig.7 Photo and infrared images of the site in front of Long’en Hall: (a) photo of the site and
overhead of (b) lawns to the left, (c) bricked ground, (d) lawns to the right
(photo by Xiaoyu Wang). Fig.7 Photo and infrared images of the site in front of Long’en Hall: (a) photo of the site and
overhead of (b) lawns to the left, (c) bricked ground, (d) lawns to the right
(photo by Xiaoyu Wang). As the temperature increased, the temperature change increased. The bricked ground
did not have the evapotranspiration effect of green soil. The coefficient of absorbing
radiation was small; therefore, the minimum and maximum temperature did not change
as much as the soil of lawns. 3.1 Analysis of the actual measurement However, the greening of the surrounding environment
affected on the bricked ground and had a specific cooling effect. As the temperature increased, the temperature change increased. The bricked ground
did not have the evapotranspiration effect of green soil. The coefficient of absorbing
radiation was small; therefore, the minimum and maximum temperature did not change
as much as the soil of lawns. However, the greening of the surrounding environment
affected on the bricked ground and had a specific cooling effect. As shown in Figs.5–7, the lowest and highest temperatures of lawns to the left in
front of Stele Pavilion were 29.7 and 64.3°C, respectively, those of lawns to the right
were 33.1 and 63.2°C; and of the bricked ground were 45.4 and 61.8°C. The lowest and
highest temperatures of lawns to the left in front of Long’en Gate were 31.3 and 63.0°C,
respectively, those of lawns to the right were 33.4 and 72.7°C; and of the bricked ground
were 45.4 and 63.6°C. The lowest and highest temperatures of lawns to the left in front
of Long’en Hall were 39.8 and 59.7°C, respectively, those of lawns to the right were
33.4 and 62.0°C; and of the bricked ground were 46.6 and 66.4°C. 3.2 Analysis and comparison of the actual measurement with simulation results The following relative error formula was used to assess the validity of the
calculation results [36]: =
100%
L
(4) (4) where is the relative error between the measured value and the simulated value
at a given time, is the absolute error at that time (the absolute value of the difference
between the measured value and the simulated value), and L is the measured value at
the time (°C). The error results of the measured and simulated temperature values of each
measuring point on a typical day in each season are given in Table 4. Table 4 Relative error of the measured and simulated temperature values [31]
Time
(Hour)
Relative error ratio in each interval (%)
0%≤≤5%
5%<≤10%
10%<≤15%
>15%
10
26.7%
33.3%
33.3%
6.7%
12
40%
30%
26.7%
3.3%
14
53.3%
36.7%
6.7%
3.3% Table 4 Relative error of the measured and simulated temperature values [31] The consistency of the difference between the actual measurement and the CFD
simulation results indicates that CFD could accurately reflect the internal temperature
field distribution if the selection of simulation parameters was reasonable (Figs.8-10). 3.1 Analysis of the actual measurement In particular, the difference between the actual measurement and the simulation was
smallest at 14:00 and the simulated data were the closest to the actual measured data
(see Table 4 and Fig. 10). Fig.8 Temperature cloud diagrams and measurement point locations of the numerical simulation at
10:00 (a) after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual
measurement with simulation results in front of Stele Pavilion at 10:00 (c) in front of Stele
Pavilion, (d) in front of Long’en Gate, and (e) in front of Long’en Hall. Fig.8 Temperature cloud diagrams and measurem
10:00 (a) after lawns were planted and (b) before
measurement with simulation results in front
Pavilion, (d) in front of Long’en Ga Fig.8 Temperature cloud diagrams and measurement point locations of the numerical simulation at
10:00 (a) after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual
measurement with simulation results in front of Stele Pavilion at 10:00 (c) in front of Stele
Pavilion, (d) in front of Long’en Gate, and (e) in front of Long’en Hall. Fig.8 Temperature cloud diagrams and measurement point locations of the numerical simulation at
10:00 (a) after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual
measurement with simulation results in front of Stele Pavilion at 10:00 (c) in front of Stele
Pavilion, (d) in front of Long’en Gate, and (e) in front of Long’en Hall. Fig. 8(a) and (b) show the temperature cloud diagrams and the measurement point
locations of the numerical simulation in front of Stele Pavilion, Long’en Gate, and
Long’en Hall at 10:00. Fig. 8(c)-(e) show the temperature comparison between the
measured and simulated thermal environments in front of Stele Pavilion, Long’en Gate,
and Long’en Hall at 10:00. Comparing the measured and simulated temperature curves, the difference between the measured and simulated values at 10 points was 0.15–7.16°C
and the proportion was 0.51%–18.8%. Fig. 9(a)-(b) show the temperature cloud
diagrams and the measurement point locations of the numerical simulation in front of
Stele Pavilion, Long’en Gate, and Long’en Hall at 12:00. Fig. 9(c)-(e) show the
temperature comparison between the measured and simulated thermal environments in
front of Stele Pavilion, Long’en Gate, and Long’en Hall at 12:00. Comparing the Fig.9 Temperature cloud diagrams and measurement point locations of the numerical simulation at
12:00 (a) after lawns were planted and (b) before lawns were planted. 3.3 Analysis of the simulation results before and after lawns were planted Typically, after lawns were planted, the temperature of the bricked ground in
Fuling Mausoleum was lower than that before lawns were planted at 10:00, 12:00 and
14:00. Comparison of the simulated temperature curves before and after lawns were
planted showed that the temperature of the bricked ground in front of Stele Pavilion at
10:00 decreased by 5.30–6.67°C after lawns were planted, a decrease of 9.17%–11.24%
(Fig. 8). The temperature of the bricked ground in front of Long’en Gate decreased by
6.0°C after lawns were planted, a decrease of 11.85%. The bricked ground temperature
in front of Long’en Hall decreased by 9.77–18.20°C after lawns were planted, a
decrease of 16.86%–26.45%. Comparison of the simulated temperature curves before
and after lawns were planted showed that the temperature of the bricked ground in front
of Stele Pavilion at 12:00 decreased by 2.62–4.19°C after lawns were planted, a
decrease of 4.08%–6.40% (Fig. 9). The temperature of the bricked ground in front of
Long’en Gate decreased by 0.02–1.55°C after lawns were planted, a decrease of
0.04%–2.57%. The bricked ground temperature in front of Long’en Hall decreased by
0.90–3.38°C after lawns were planted, a decrease of 1.60%–5.93%. Comparison of the
simulated temperature curves before and after lawns were planted showed that the
temperature of the bricked ground in front of Stele Pavilion at 14:00 decreased by 2.69–
4.26°C after lawns were planted, a decrease of 3.91%–6.09% (Fig. 10). The temperature
of the bricked ground in front of Long’en Gate decreased by1.56–9.40°C after lawns
were planted, a decrease of 2.68%–14.75%. The bricked ground temperature in front of
Long’en Hall decreased by 11.47–17.54°C after lawns were planted, a decrease of
17.56%–24.20%. The temperature of some measured points had increased because of
the effect of airflow vortexes. In air vortexes, the heat could not be taken away in time,
which had increased the bricked ground temperature. 3.1 Analysis of the actual measurement (c-e) Comparison of actual
measurement with simulation results in front of Stele Pavilion at 12:00 (c) in front of Stele
Pavilion, (d) in front of Long’en Gate, and (e) in front of Long’en Hall. Fig.9 Temperature cloud diagrams and measurement point locations of the numerical simulation at
12:00 (a) after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual
measurement with simulation results in front of Stele Pavilion at 12:00 (c) in front of Stele
Pavilion, (d) in front of Long’en Gate, and (e) in front of Long’en Hall. Fig.10 Temperature cloud diagrams and measurement point locations of the numerical simulation
at 14:00 (a) after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual
measurement with simulation results in front of Stele Pavilion at 14:00 (c) in front of Stele
Pavilion, (d) in front of Long’en Gate, and (e) in front of Long’en Hall. Fig.10 Temperature cloud diagrams and measurement point locations of the numerical simulation
at 14:00 (a) after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual
measurement with simulation results in front of Stele Pavilion at 14:00 (c) in front of Stele
Pavilion, (d) in front of Long’en Gate, and (e) in front of Long’en Hall. Fig.10 Temperature cloud diagrams and measurement point locations of the numerical simulation
at 14:00 (a) after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual
measurement with simulation results in front of Stele Pavilion at 14:00 (c) in front of Stele
Pavilion, (d) in front of Long’en Gate, and (e) in front of Long’en Hall. measured and simulated temperature curves, the difference between the measured and
simulated values at 10 points was 0.22-8.74°C and the proportion was 0.48-14.2%. Fig. 10(a)-(b) show the temperature cloud diagrams and the measurement point locations of
the numerical simulation in front of Stele Pavilion, Long’en Gate, and Long’en Hall at
14:00. Fig. 10(c)-(e) show the temperature comparison between the measured and
simulated thermal environments in front of Stele Pavilion, Long’en Gate, and Long’en Hall at 14:00. Comparing the measured and simulated temperature curves, the
difference between the measured and simulated values at 10 points was 0.02-7.55°C
and the proportion was 0.04-16.6%. 3.4 Comparison and analysis of different wind speeds and relative humidity According to the comparison of actual measurement and simulation data, the
difference between the actual measurement and the simulation at Fuling Mausoleum
was smallest at 14:00 and the simulation data were the closest to the actual
measurement data. In this study, the simulation parameters of wind speed and relative
humidity at 14:00 were changed to study the influence of different results on the thermal
environment and microclimate. Fig. 11(a)–(c) present the wind speed cloud diagrams
in the vertical direction of the central axis of Fuling Mausoleum at 10:00, 12:00, and
14:00. Fig. 11(d)–(f) present the relative humidity cloud diagrams in the vertical
direction of the central axis of Fuling Mausoleum at 10:00, 12:00, and 14:00. Fig.11 (a-c) Wind speed cloud diagrams in the vertical direction of the central axis of Fuling
Mausoleum at (a) 10:00, (b) 12:00, and (c) 14:00. (d-f) Relative humidity cloud diagrams in the
vertical direction of the central axis of Fuling Mausoleum at (a) 10:00, (e) 12:00, and (f) 14:00. Fig.11 (a-c) Wind speed cloud diagrams in the vertical direction of the central axis of Fuling
Mausoleum at (a) 10:00, (b) 12:00, and (c) 14:00. (d-f) Relative humidity cloud diagrams in the
vertical direction of the central axis of Fuling Mausoleum at (a) 10:00, (e) 12:00, and (f) 14:00. Fig.12 Comparison of simulation results at different wind speeds at (a) Stele Pavilion, (b) Long’en
Gate, and (c) Long’en Hall. Fig.12 Comparison of simulation results at different wind speeds at (a) Stele Pavilion, (b) Long’en
Gate, and (c) Long’en Hall. Fig.13 Comparison of simulation results at different relative humidity at (a) Stele Pavilion, (b)
Long’en Gate, and (c) Long’en Hall. Fig.13 Comparison of simulation results at different relative humidity at (a) Stele Pavilion, (b)
Long’en Gate, and (c) Long’en Hall. Typically, as the wind speed increased, the ground temperature dropped. If the
building was blocked by other walls, some of the measured points may be affected by
airflow vortexes. Fig. 12(a)–(c) show temperature comparison diagrams of Stele
Pavilion, Long’en Gate, and Long’en Hall with different wind speed at 14:00. 3.4 Comparison and analysis of different wind speeds and relative humidity We found that after lawns were planted, with a wind speed of 5m/s compared with 4m/s, the
temperature of the bricked ground in front of Stele Pavilion decreased by 5.72–6.24°C,
a decrease of 8.21%–8.67%; the temperature of the bricked ground in front of Long’en
Gate increased by 2.37–5.83°C, an increase of 4.03%–9.70%; and the temperature of
the bricked ground in front of Long’en Hall decreased by 14.17–19.27°C, a decrease of
20.50%–26.34%. Compared with a wind speed of 5m/s, at a wind speed of 6m/s, the
temperature of the bricked ground in front of Stele Pavilion decreased by 4.06–4.44°C,
a decrease of 6.39%–6.71%; the bricked ground temperature in front of Long’en Gate
decreased by 2.35–2.65°C, a decrease of 4.24%–4.70%; and the temperature of bricked
ground in front of Long’en Hall increased by 6.10–9.53°C, an increase of 11.37%–
17.69%. Similar to the relative humidity, as the relative humidity increased, the ground
temperature dropped. If the building was blocked by other walls, the wind speed will
decrease and the temperature of the ground will increase when the relative humidity
increases. Fig. 13(a)–(c) show the temperature comparison diagrams of Stele Pavilion,
Long’en Gate, and Long’en Hall with different relative humidity at 14:00. We found
that compared with lawns planted at 10% relative humidity, after lawns were planted at
40% relative humidity, the temperature of the tiled ground in front of Stele Pavilion
decreased by 0.08–0.11°C, a decrease of 0.12%–0.17%; the temperature of the bricked
ground in front of Long’en Gate increased by 2.55–5.25°C, an increase of 4.83%–
10.69%; and the temperature of the bricked ground in front of Long’en Hall decreased
by 2.57–6.82°C, a decrease of 4.47%–11.23%. At 70% relative humidity instead of 40%
relative humidity, the temperature of the bricked ground in front of Stele Pavilion
decreased by 0.21–0.28°C, a decrease of 0.34%–0.43%; the temperature of the bricked
ground in front of Long’en Gate increased by 3.27–8.62°C, an increase of 5.91%–
15.86%; and the temperature of the bricked ground in front of Long’en Hall increased
by 0.33–4.40°C, an increase of 0.59%–8.17%. 3.5 Actual measurement of microclimate with the human thermal comfort index value. Temperature is an important factor affecting human comfort and physical health. In the process of environment creation, it is essential that using vegetation to reduce air
temperature and provide an excellent and suitable temperature environment for humans
and the protection of architectural heritage (Fig. 14) [29]. At present, the most popular
outdoor environmental evaluation indicators in China are the standard sufficient
temperature and WBGT. The standard effective temperature index is used to evaluate
the comfort of the environment (Table 5) [37] and the WBGT index is used to measure
the safety of the thermal environment (Table 6) [38]. The project team members
measured the air temperature, black bulb temperature, and WBGT values at five-time
points (Table 7). The human thermal comfort indexes in Table 5 and 6 and the measured results in
Table 7 show that at 10:00 as solar radiation illuminance increased, the air temperature
gradually increased. At this time, the black bulb temperature value of the environment Fig.14 Psychrometric chart. Fig.14 Psychrometric chart. was 27.7°C, between 25.6 and 30°C, and the WBGT index was 23.3°C, between 18 and
24°C, indicating a “warm” thermal sensation range. At 12:00, as a result of intense solar
radiation, the ground accumulated a considerable amount of heat. The black bulb
temperature measured was 36.7℃ and WBGT measured was 27.8°C. The thermal
comfort index was in the “hot” thermal sensation zone. At 14:00, solar radiation was
the strongest. The black bulb temperature measured was 39.6°C and WBGT measured
was 29.7°C. In these cases, the environment was “hot” or “very hot”. The main influences of outdoor environmental parameters on human thermal
perception are temperature, humidity, solar radiation, and wind speed. Comparing the
actual measurement with numerical simulation results, the thermal comfort of the
investigation environment was calculated. The numerical simulation results were very
close to the actual measurement data (Fig. 15). Table 5 Standard effective temperature index [37]
Thermal comfort
index
Comfortable
Slightly
warmer
Slightly
hotter
Hot
Very hot
Standard effective
temperature (℃)
22.2-25.6
25.6-30
30-34.5
34.5-37.5
≥37.5
Table 6 WBGT thermal comfort index [38]
WBGT Index
Comfortable
warm
Hot
Very hot
Extremely
hot
WBGT (℃)
<18
18-24
24-28
28-30
>30 Table 5 Standard effective temperature index [37] Table 5 Table 7 Real-time measurement of WBGT and black bulb temperature
Time
(Hour)
Air temperature
(℃)
black bulb temperature
(℃)
WBGT temperature
(℃)
10
26.1
27.7
23.3
11
29
34.8
25.2
12
31.4
36.7
27.8
13
31.6
37.7
28.5
14
33.7
39.6
29.7
Fig.15 Numerical simulation results were very close to the actual measurement data. Real-time measurement of WBGT and black bulb temperature Fig.15 Numerical simulation results were very close to the actual measurement data. Fig.15 Numerical simulation results were very close to the actual measurement data. Acknowledgements g
Not applicable. 4. Conclusions The aims of this study were to compare measurement data and simulation results
before and after planting grassland, compare the simulation results based on different
wind speeds and relative humidity, and compare the actual measurements of the
microclimate using the human thermal comfort index value, to reduce the damage to
heritage sites caused by the heat island effect. The results of this research can be applied
to the thermal environment and thermal comfort research of other heritage sites. The
following conclusions were drawn from this study. (1) Because lawns and soil can cool the air through evaporation and the soil has a
significant radiation absorption coefficient, it can also absorb more heat radiation and
generate higher temperatures locally. The greening of the surrounding environment can
affect the bricked ground and lead to a specific cooling effect. (2) The consistency of the difference between the actual measurement and the CFD
simulation results indicates that the selection of simulation parameters was reasonable
and could accurately reflect the internal temperature field distribution at Fuling (2) The consistency of the difference between the actual measurement and the CFD
simulation results indicates that the selection of simulation parameters was reasonable
and could accurately reflect the internal temperature field distribution at Fuling Mausoleum. The CFD simulation was able to predict the temperature of the surrounding
environment at heritage sites. Mausoleum. The CFD simulation was able to predict the temperature of the surrounding
environment at heritage sites. Mausoleum. The CFD simulation was able to predict the temperature of the surrounding
environment at heritage sites. (3) The temperature of the bricked ground at Fuling Mausoleum after lawns were
planted was lower than that before lawns were planted. As the wind speed and relative
humidity increased, the ground temperature dropped. If the building was blocked by
other walls, the temperature of some measured points may be affected by airflow
vortexes and the temperature of the bricked ground will increase when the wind speed
increases. (4) The main influences of outdoor environmental parameters on human thermal
perception are temperature, humidity, solar radiation, and wind speed. The actual
measurement data were very close to the numerical simulation results. (4) The main influences of outdoor environmental parameters on human thermal
perception are temperature, humidity, solar radiation, and wind speed. The actual
measurement data were very close to the numerical simulation results. Availability of data and materials
The data is available within the article The data is available within the article. Abbreviations CFD: computational fluid dynamics; WBGT: wet bulb globe temperature. Ethics approval and consent to participate
Not applicable. Competing interests The authors declare that they have no competing interests. Ethics approval and consent to participate
Not applicable. pp
Not applicable. Author Contributions X.W., P.L. and G.X. contributed equally to this work. Funding g
This work was supported by the National Natural Science Foundation of China (Project
No: 51978417), Natural Science Foundation of Liaoning Province (Project No: 2019-
ZD-0207), Scientific Research Project of the Educational Department of Liaoning
Province (Project No: LJGD2019012) and the Education and Teaching Reform Project
of Shenyang University of Technology, China. Consent for publication Written informed consent for publication was obtained from all participants. Author details Author details
1 School of Architecture & Civil Engineering, Shenyang University of Technology,
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performance of buildings addressing indoor air quality, thermalenvironment, lighting and acoustics. 23. La Gennusa, N., Lascari, G., Rizzo, G., Scaccianoce, G., 2008. Conflicting needs of thethermal
indoor environment of museums: in search of a practical com-promise. Journal of Cultural Heritage ,
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Planning and Design Counter measures. Architecture Journal 3, 37-39. 26. Wang, X.Y., 2016. Research on the overall protection model of the architectural cultural heritage
area of the Qing Dynasty in Liaoning. Science Press, Beijing. 27. Wang, Y.C., 2004. Fuling mausoleum in Shengjing (Qing Culture Series). Shenyang press,
Shenyang. 28. Liang, Y., 2010. The Cultural Value of the Three Tombs in Shengjing. Vicissitudes 4, 145-147. 29. China Meteorological Information centre, 2007. 37. McCullough, E.A., Jones, B.W., Zbikowski, P.J., 1983. The effect of garment design on the thermal
insulation values of clothing. ASHRAE Transactions 89, 327-352. References Special meteorological data set for China's
building thermal environment analysis. China Architecture Publishing, Beijing. 30. ANSYS, 2016. ANSYS FLUENT 16.0 Theory Guide. Canonsburg, Pennsylvania, U.S.A. 31. Orszag, S.A., Yakhot, V., 1986. Renormalization group analysis of turbulence. Proceedings of the
International Congress of Mathematicians, Berkeley, 1395-1399. 32. Orszag, S.A., Yakhot, V., Flannery, W.S., Boysan, F., Choudhury, D., Maruzewski, J., Patel, B.,
1993. Renormalization Group Modeling and Turbulence Simulations. International Conference on
Near-Wall Turbulent Flows, Tempe, Arizona. 33. Hanna, S.R., G. A. B., Hosker, R.P., 1982. Handbook on Atmospheric Diffusion. DOE/TIC
11223. Technical Information Center, U.S. Department of Energy, Washington, DC. 34. Editorial department of Architectural Design Information Collection, 1994. Architectural Design
Information Collection (Second Edition). China Architecture Publishing, Beijing. 35. Launder, B. E., D. B. S. 1974. The numerical computation of turbulent flows. Computer Methods
in Applied Mechanics and Engineering 3 (2):269-289. 36. Sheng, J.S., Zhang, W., Gao, Z., 2019. Simulation Research of Effects of Different Underlying
Surface Types on Outdoor Thermal Environment. Journal of Tianjin Chengjian University 25, 437-
442. 37. McCullough, E.A., Jones, B.W., Zbikowski, P.J., 1983. The effect of garment design on the thermal
insulation values of clothing. ASHRAE Transactions 89, 327-352. 38. Zhang, W., Gao, Z., 2015. Research Progress of Outdoor Thermal Comfort Index. Journal of
Environment and Health 32, 836-840. Figures Figure 3 (a) General views of the computational domain (geometry and mesh) for Fuling Mausoleum. (b) Detail of
the mesh re¦nement with tetrahedral elements. (a) General views of the computational domain (geometry and mesh) for Fuling Mausoleum. (b) Detail of
the mesh re¦nement with tetrahedral elements. (a) General views of the computational domain (geometry and mesh) for Fuling Mausoleum. (b) Detail of
the mesh re¦nement with tetrahedral elements. Figure 4
Settings of the speci¦c numerical simulation scheme. Figure 1 The environment surrounding Fuling Mausoleum (white is the CFD simulation model). The environment surrounding Fuling Mausoleum (white is the CFD simulation model). The environment surrounding Fuling Mausoleum (white is the CFD simulation model). Figure 2 Figure 2 Figure 2 Measuring instruments: (a) black bulb thermometer, (b) anemometer, (c) heat §ux sensor (photos by
Xiaoyu Wang). Figure 3
(a) General views of the computational domain (geometry and mesh) for Fuling Mausoleum. (b) Detail of
the mesh re¦nement with tetrahedral elements. Figure 3 Figure 4 Settings of the speci¦c numerical simulation scheme. Figure 5
Photo and infrared images of the site in front of Stele Pavilion: (a) photo of the site and overhead of (b)
lawns to the left, (c) bricked ground, (d) lawns to the right (photo by Xiaoyu Wang). Figure 5
Photo and infrared images of the site in front of Stele Pavilion: (a) photo of the site and overhead of (b)
lawns to the left, (c) bricked ground, (d) lawns to the right (photo by Xiaoyu Wang). Figure 5 Photo and infrared images of the site in front of Stele Pavilion: (a) photo of the site and overhead of (b)
lawns to the left, (c) bricked ground, (d) lawns to the right (photo by Xiaoyu Wang). Figure 6
Photo and infrared images of the site in front of Long’en Gate: (a) photo of the site and overhead of (b)
awns to the left, (c) bricked ground, (d) lawns to the right (photo by Xiaoyu Wang). Figure 6
Photo and infrared images of the site in front of Long’en Gate: (a) photo of the site and overhead of (b)
lawns to the left, (c) bricked ground, (d) lawns to the right (photo by Xiaoyu Wang). Figure 6 Photo and infrared images of the site in front of Long’en Gate: (a) photo of the site and overhead of (b)
lawns to the left, (c) bricked ground, (d) lawns to the right (photo by Xiaoyu Wang). Photo and infrared images of the site in front of Long’en Gate: (a) photo of the site and overhead of (b)
lawns to the left, (c) bricked ground, (d) lawns to the right (photo by Xiaoyu Wang). Figure 7
Photo and infrared images of the site in front of Long’en Hall: (a) photo of the site and overhead of (b)
awns to the left, (c) bricked ground, (d) lawns to the right (photo by Xiaoyu Wang). Figure 7 Photo and infrared images of the site in front of Long’en Hall: (a) photo of the site and overhead of (b)
lawns to the left, (c) bricked ground, (d) lawns to the right (photo by Xiaoyu Wang). ment point locations of the numerical simula
wns were planted (c-e) Comparison of actual Figure 8
Temperature cloud diagrams and measurement point locations of the numerical simulatio
after lawns were planted and (b) before lawns were planted. Figure 4 (c-e) Comparison of actual m
with simulation results in front of Stele Pavilion at 10:00 (c) in front of Stele Pavilion, (d) in
Long’en Gate, and (e) in front of Long’en Hall. Figure 8 Temperature cloud diagrams and measurement point locations of the numerical simulation at 10:00 (a)
after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual measurement
with simulation results in front of Stele Pavilion at 10:00 (c) in front of Stele Pavilion, (d) in front of
Long’en Gate, and (e) in front of Long’en Hall. Figure 9
Temperature cloud diagrams and measurement point locations of the numerical simulatio
after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual m
with simulation results in front of Stele Pavilion at 12:00 (c) in front of Stele Pavilion, (d) i
Long’en Gate, and (e) in front of Long’en Hall. Figure 9 Figure 9 Temperature cloud diagrams and measurement point locations of the numerical simulation at 12:00 (a)
after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual measurement
with simulation results in front of Stele Pavilion at 12:00 (c) in front of Stele Pavilion, (d) in front of
Long’en Gate, and (e) in front of Long’en Hall. Figure 10
Temperature cloud diagrams and measurement point locations of the numerical simulatio
after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual m
with simulation results in front of Stele Pavilion at 14:00 (c) in front of Stele Pavilion, (d) i Figure 10
Temperature cloud diagrams and measurement point locations of the numerical simulation at 14:00 (a
after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual measurement
with simulation results in front of Stele Pavilion at 14:00 (c) in front of Stele Pavilion, (d) in front of
Long’en Gate, and (e) in front of Long’en Hall. Figure 10 Temperature cloud diagrams and measurement point locations of the numerical simulation at 14:00 (a)
after lawns were planted and (b) before lawns were planted. (c-e) Comparison of actual measurement
with simulation results in front of Stele Pavilion at 14:00 (c) in front of Stele Pavilion, (d) in front of
Long’en Gate, and (e) in front of Long’en Hall. Figure 11
(a-c) Wind speed cloud diagrams in the vertical direction of the central axis of Fuling Mausoleum at (a)
10:00, (b) 12:00, and (c) 14:00. (d-f) Relative humidity cloud diagrams in the vertical direction of the
central axis of Fuling Mausoleum at (a) 10:00, (e) 12:00, and (f) 14:00. Figure 11 (a-c) Wind speed cloud diagrams in the vertical direction of the central axis of Fuling Mausoleum at (a)
10:00, (b) 12:00, and (c) 14:00. (d-f) Relative humidity cloud diagrams in the vertical direction of the
central axis of Fuling Mausoleum at (a) 10:00, (e) 12:00, and (f) 14:00. Figure 12
Comparison of simulation results at different wind speeds at (a) Stele Pavilion, (b) Long’en Gate, and (c)
Long’en Hall. Figure 12 Comparison of simulation results at different wind speeds at (a) Stele Pavilion, (b) Long’en Gate, and (c)
Long’en Hall Comparison of simulation results at different wind speeds at (a) Stele Pavilion, (b) Long’en Gate, and (c)
Long’en Hall. Figure 13
Comparison of simulation results at different relative humidity at (a) Stele Pavilion, (b) Long’en Gate, and
(c) Long’en Hall. Figure 13 Figure 13 Comparison of simulation results at different relative humidity at (a) Stele Pavilion, (b) Long’en Gate, and
(c) Long’en Hall. Comparison of simulation results at different relative humidity at (a) Stele Pavilion, (b) Long’en Gate, and Figure 14 Psychrometric chart. Psychrometric chart. Psychrometric chart. Figure 15
Numerical simulation results were very close to the actual measurement data. Figure 15 Figure 15 Numerical simulation results were very close to the actual measurement data.
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https://openalex.org/W4229065747
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https://discovery.ucl.ac.uk/id/eprint/10151703/1/xk5092.pdf
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English
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<i>Ab initio</i> simulations of α- and β-ammonium carbamate (NH<sub>4</sub>·NH<sub>2</sub>CO<sub>2</sub>), and the thermal expansivity of deuterated α-ammonium carbamate from 4.2 to 180 K by neutron powder diffraction
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Acta crystallographica. Section B, Structural science, crystal engineering and materials./Acta crystallographica. Section B, Structural science, crystal engineering and materials
| 2,022
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cc-by
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research papers Ab initio simulations of a- and b-ammonium
carbamate (NH4NH2CO2), and the thermal
expansivity of deuterated a-ammonium carbamate
from 4.2 to 180 K by neutron powder diffraction ISSN 2052-5206 ISSN 2052-5206 Christopher M. Howard,a,b* Ian G. Wood,b Kevin S. Knightb and
A. Dominic Fortesc,b Received 31 January 2022
Accepted 8 March 2022 aBayerisches Geoinstitut (BGI), University of Bayreuth, 95447 Bayreuth, Germany, bDepartment of Earth Sciences,
University College London, Gower Street, London WC1E 6BT, United Kingdom, and cISIS Facility, Rutherford Appleton
Laboratory, Harwell Science and Innovation Campus, Didcot, Oxfordshire OX11 0QX, United Kingdom. *Correspon-
dence e-mail: christopher.howard@frm2.tum.de Edited by A. Katrusiak, Adam Mickiewicz
University, Poland Edited by A. Katrusiak, Adam Mickiewicz
University, Poland Edited by A. Katrusiak, Adam Mickiewicz
University, Poland Keywords: powder diffraction; thermal expan-
sion; DFT; neutron diffraction; negative linear
compressibility; ammonium carbamate. CCDC references: 2162678; 2162679
Supporting information: this article has
supporting information at journals.iucr.org/b Keywords: powder diffraction; thermal expan-
sion; DFT; neutron diffraction; negative linear
compressibility; ammonium carbamate. Experimental and computational studies of ammonium carbamate have been
carried out, with the objective of studying the elastic anisotropy of the
framework manifested in (i) the thermal expansion and (ii) the compressibility;
furthermore, the relative thermodynamic stability of the two known polymorphs
has been evaluated computationally. Using high-resolution neutron powder
diffraction
data,
the
crystal
structure
of
-ammonium
carbamate
(ND4ND2CO2) has been refined [space group Pbca, Z = 8, with a =
17.05189 (15), b = 6.43531 (7), c = 6.68093 (7) A˚ and V = 733.126 (9) A˚ 3 at
4.2 K] and the thermal expansivity of -ammonium carbamate has been
measured over the temperature range 4.2–180 K. The expansivity shows a high
degree of anisotropy, with the b axis most expandable. The ab initio
computational studies were carried out on the - and -polymorphs of
ammonium carbamate using density functional theory. Fitting equations of state
to the P(V) points of the simulations (run athermally) gave the following values:
V0 = 744 (2) A˚ 3 and bulk modulus K0 = 16.5 (4) GPa for the -polymorph, and
V0 = 713.6 (5) A˚ 3 and K0 = 24.4 (4) GPa for the -polymorph. The simulations
show good agreement with the thermoelastic behaviour of -ammonium
carbamate. Both phases show a high-degree of anisotropy; in particular, -
ammonium carbamate shows unusual compressive behaviour, being determined
to have negative linear compressibility (NLC) along its a axis above 5 GPa. The
thermodynamically stable phase at ambient pressure is the -polymorph, with a
calculated
enthalpy
difference
with
respect
to
the
-polymorph
of
0.399 kJ mol1; a transition to the -polymorph could occur at 0.4 GPa. Supporting information: this article has
supporting information at journals.iucr.org/b research papers Pluto has extensive deposits of N2, CH4 and CO ices across
its surface in various mixtures (Protopapa et al., 2017; Schmitt
et al., 2017; Moore et al., 2016) and a thin N2-dominated
atmosphere (Gladstone & Young, 2019), with both Pluto and
its moon Charon manifesting the spectroscopic signature of
ammoniated material (Dalle Ore et al., 2018, 2019; Grundy et
al., 2016). The dwarf planet Ceres also manifests spectroscopic
signatures of ammoniated species, in the form of phyllo-
silicates (Ammannito et al., 2016; Raponi et al., 2019), which
are seen in the regions with high albedo, in particular in the
complex crater Occator (De Sanctis et al., 2015, 2016),
suggesting an NH4-rich interior. The Kuiper belt object
Arrokoth has abundant CH3OH on the surface (Stern, 2019),
with other potential ices, including H2O, NH3, H2CO and CO2,
in trace amounts (Grundy et al., 2020). In other words, all the
constituents necessary to make ammonium carbonates (and
related substances) are present and so are likely to form these
materials wherever partial melts of ammonia–water are
exposed to solid or gaseous CO2. solid organics (Artemieva & Lunine, 2003) and both urea and
ammonium carbamate/carbonate may be substantial by-
products, persisting on geological timescales at the surface
temperature of 95 K. Not only are ammonium carbonates relevant to the outer
solar system, but they also play a role in industry here on
Earth; ammonia–water solutions may be used to capture CO2
from flue gases, deposited in solid form as ammonium
carbonates (Han et al., 2013). Furthermore, there has been
some interest in using ammonium carbonates for hydrogen
storage in fuel cells (Lan et al., 2012). There has nevertheless been comparatively little interest in
studying the structures and properties of these compounds;
indeed, the structure of ammonium carbonate monohydrate
was determined comparatively recently (Fortes et al., 2014),
and the structure of the sesquicarbonate was determined in
2003 (Margraf et al., 2003). Furthermore, the identity of a
second () phase of ammonium carbamate was first reported
in 2007 (Kuhn et al., 2007), while the only published crystal
structure of -ammonium carbamate was that determined in
1973 by single-crystal X-ray diffraction (Adams & Small,
1973). Both ammonium carbamate phases are orthorhombic:
-ammonium carbamate has the space group Pbca, with Z = 8,
while -ammonium carbamate has the space group Ibam, with
Z = 8. research papers In the same context, ammonium carbonates may have some
astrobiological relevance since removal of water leads – via
ammonium carbamate – to urea. It is known from laboratory
analogue experiments that the organic molecules produced
photochemically in the atmosphere of Saturn’s giant satellite
Titan may be hydrolysed in aqueous ammonia to form both
urea and amino acids (Poch et al., 2012). Further hydrolysis of
urea would be expected to form ammonium carbonates; on
Earth, this process is mediated in soils with the aid of bacterial
urease, whereafter the carbonate breaks down to ammonia
and water. Meteorite impacts into Titan’s surface would
provide the requisite liquid (as impact melt) to hydrolyse any It is surprising that ammonium carbamate has apparently
been of little interest, given the similarity of the carbamate ion
to the primary amide group; previous work on ammonium
carbamate has mainly focused on the thermodynamics and
kinetics, typically related to the formation of urea, rather than
crystallographic studies. Whilst urea has been extensively
studied, the same is not true of the carbonate/carbamate
family of compounds. Figure 1
The ternary system of NH3 + CO2 H2O. The compositions to form in
this system are: (1) ammonium carbonate monohydrate; (2) ammonium
sesquicarbonate monohydrate; (3) ammonium bicarbonate; (4) - and -
ammonium carbamate (open circle); (5) urea; (6) CO2 clathrate hydrate;
(7) solid carbonic acid; (8) ammonia dihydrate; (9) ammonia mono-
hydrate; (10) ammonia hemihydrate. The goals of this study were to calculate the bulk properties
of both phases of ammonium carbamate as a function of
pressure, preparatory to the development of a planetary
model. Without knowing how something as fundamental as
the density varies with pressure and temperature, as well as
high-pressure polymorphism, the development of accurate
structural and evolutionary models of icy planetary interiors is
severely limited. To determine the necessary physical prop-
erties includes calculating the bulk elastic properties as a
function of pressure using density functional theory (DFT); in
particular, how the different arrangement of structural units
and hydrogen bonds affects the bulk modulus of the two
polymorphs. An opportunity to test the anisotropy of the -polymorph
arose during an attempt to measure the thermal expansion of
ammonium carbonate monohydrate. During a synthesis of
that product, ammonium carbamate was formed instead, and
neutron powder diffraction data were collected as a function
of temperature. 1. Introduction With recent robotic missions to icy planetary bodies in our
solar system, most notably the flybys of Pluto, Charon and
Arrokoth by the New Horizons spacecraft, and of Ceres by the
Dawn spacecraft, the importance of characterizing ‘ices’
composed of primordial mixtures of ammonia, carbon dioxide
and water has become more urgent. Although long suspected
to be present in the outer solar system (Kargel, 1992), solids in
the ternary NH3 + CO2 H2O system (Fig. 1), which includes
two phases of ammonium carbamate (NH4NH2CO2), am-
monium carbonate monohydrate [(NH4)2CO3H2O], ammo-
nium sesquicarbonate monohydrate {(NH4)4[H2(CO3)3]H2O},
ammonium bicarbonate [(NH4)2HCO3] and the water-defi-
cient compound urea [CO(NH2)2], appear increasingly likely
to occur as ‘rock-forming’ minerals. Published under a CC BY 4.0 licence 459 https://doi.org/10.1107/S2052520622002645 Acta Cryst. (2022). B78, 459–475 460
C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate 2.3. Structural refinement Ammonium carbamate was formed serendipitously in the
process of attempting to synthesize deuterated ammonium
carbonate monohydrate, during which a 28 wt% ND3 solution
was exposed to CO2 from sublimating dry ice pellets, forming
a slurry of white material. Consequently, the specimen
contained excess water in the form of water ice, which also
acted as a reservoir for small amounts of excess ammonium. The resulting white compound was stored in a freezer. The
sample was taken out of the freezer and allowed to warm and
soften, after which the partially molten slurry was transferred
into a cryomortar under liquid nitrogen and ground to a fine
powder using a similarly cooled pestle. Once fully ground, the
material was loaded into an aluminium-framed slab-geometry
can of inner dimensions 23 18 15 mm (h w d) relative
to the incident neutron beam, also precooled in liquid N2. Vanadium foil windows were indium-sealed to the front and
back faces of the slab can, with the exposed components on
the incident-beam side being masked with Gd foil. The sample
holder was wired with an RhFe resistance thermometer and a
30 mm cartridge heater, after which, it was immersed in liquid
nitrogen for transfer into a He cryostat operating at 100 K. Once oriented in the beam, the cryostat temperature was
reduced to 4.2 K for measurements to commence. In the 4.2 K neutron powder diffraction dataset, two phases
were identified by inspection of the peak positions – deuter-
ated water ice and -ammonium carbamate. The Rietveld
method was used to refine the structure of D2O ice Ih and
-ammonium
carbamate,
starting
from
the
previously
published atomic coordinates based upon the single-crystal
X-ray investigation of Adams & Small (1973). In this refine-
ment, the unit-cell parameters, scale factor, peak-profile
coefficients (GSAS profile function #3) and a twelve-term
Chebyshev polynomial background were allowed to vary and
the atomic coordinates and isotropic displacement parameters
(Uiso) were refined independently, without restraints. It was
found necessary to refine a wavelength-dependent absorption/
reflectivity correction (GSAS model #1). The final fit to the
data is excellent, the Rwp value being better than 2%; a Figure 2
Neutron powder diffraction pattern acquired at 4.2 K in the highest
resolution backscattering banks of HRPD. research papers The thermal expansion derived from these
data provides a useful measurement of the structural aniso-
tropy for comparison with the calculations. Figure 1 g
The ternary system of NH3 + CO2 H2O. The compositions to form in
this system are: (1) ammonium carbonate monohydrate; (2) ammonium
sesquicarbonate monohydrate; (3) ammonium bicarbonate; (4) - and -
ammonium carbamate (open circle); (5) urea; (6) CO2 clathrate hydrate;
(7) solid carbonic acid; (8) ammonia dihydrate; (9) ammonia mono-
hydrate; (10) ammonia hemihydrate. Here, therefore, we present the first ab initio calculations to
determine the high-pressure behaviour of both - and
-ammonium carbamate; the first neutron powder diffraction Acta Cryst. (2022). B78, 459–475 research papers parameters from data measured only in the 100–200 ms win-
dow whilst avoiding peak overlap from the additional peaks at
shorter d-spacings. For accurate structure refinement, how-
ever, it is more desirable to measure the shorter d-spacing
peaks in the 30–130 ms window. data of -ammonium carbamate, thereby providing the first
accurate H-atom positions to allow characterization of the
hydrogen bonding in the crystal; and thermal expansivity
measurements from 4.2 to 180 K. These results begin to bridge
the current gap in our knowledge of the behaviour of
ammonium carbonates under conditions related to the icy
moons of the outer solar system. Consequently, we collected a low-noise structural data set at
4.2 K in the 30–130 ms window, counting for 6.5 h (corre-
sponding to an integrated proton beam current of 250 mA h)
and then measured on warming using only the 100–200 ms
window. These thermal expansion data were collected in 5 K
increments from 10–150 K and (due to time constraints) in
10 K increments up to 180 K. Counting times were 15 min,
corresponding to an integrated proton beam current of
15 mA h per step. The diffraction data were focussed, nor-
malized to the incident beam spectrum and corrected for
detector efficiency by reference to a vanadium standard using
Mantid (Arnold et al., 2014) and then exported in a format
suitable for analysis with GSAS/Expgui (Larson & Von
Dreele, 2004; Toby, 2001). 2.3. Structural refinement Red symbols represent the
measured data, green lines the result of Rietveld refinement, pink lines
the difference profile and the tick marks the expected positions of each
Bragg reflection for ND4ND2CO2 (black) and D2O ice Ih (red). 2. Experimental Time-of-flight neutron powder diffraction data were collected
using the ‘High Resolution Powder Diffractometer’ (HRPD)
at the STFC ISIS neutron spallation source of the Rutherford–
Appleton Laboratory, UK. The HRPD instrument was chosen
due to its high resolution (d/d ’ 8 104 in the back-
scattering bank), allowing the highest precision in refined unit-
cell parameters and accurate partitioning of intensity in well-
resolved high-Q Bragg peaks. C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate
461 2.2. Data acquisition Time-of-flight data on HRPD are measured routinely in a
range of 100 ms bandwidth ‘windows’ where disc choppers act
as bandwidth selectors, these typically being 30–130 or 100–
200 ms. In the instrument’s backscattering detector bank (2 =
154–176), these time-of-flight ranges provide access to d-
spacings in the ranges 0.65–2.60 (30–130 ms) and 2.15–4.00 A˚
(100–200 ms) at the highest resolution. Intermediate-resolu-
tion data are simultaneously measured in the 90 detector
banks (0.85–3.90 A˚ in 30–130 ms and 2.82–6.00 A˚ in 100–
200 ms). Since HRPD has an essentially Q-independent
resolution function, we can obtain high-precision unit-cell Figure 2
Neutron powder diffraction pattern acquired at 4.2 K in the highest
resolution backscattering banks of HRPD. Red symbols represent the
measured data, green lines the result of Rietveld refinement, pink lines
the difference profile and the tick marks the expected positions of each
Bragg reflection for ND4ND2CO2 (black) and D2O ice Ih (red). C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate
4 461 Acta Cryst. (2022). B78, 459–475 research papers carbamate were input into CASTEP (Clark et al., 2005). Static
density functional theory (DFT) calculations were then
carried out using the PBE pseudopotential (Perdew et al.,
1996) with the Tkatchenko–Scheffler dispersion correction
(Tkatchenko & Scheffler, 2009). The importance of dispersion
corrections for the study of elastic properties and anisotropy
in planetary ices was demonstrated recently by Meusburger et
al. (2021). For the work reported here, we had found that
geometry optimizations completed without dispersion cor-
rections led to disagreements of 10% in the unit-cell para-
meters, these being reduced to 1–3% with the use of
dispersion corrections. Similarly, the estimated phase-transi-
tion pressures reported later were reduced from 2 to
0.4 GPa. graphical depiction of the fit to the neutron powder data is
given in Fig. 2. The refined structural parameters are given in
the crystallographic information file (CIF) in the supporting
information. At each temperature step, the unit-cell parameters of both
phases were determined using the Le Bail method (with initial
intensities based on the GSAS Fcalc method); in addition to the
unit-cell parameters, the peak profile parameters and the
background parameters were allowed to vary. Consideration
of the axial ratio of the D2O ice Ih present in the sample (see
Fig. 3 and x4.1) indicated that, at 180 K, it was sufficiently pure
to allow its use as an internal standard. 2.2. Data acquisition To ensure uniformity
with previous work, the unit-cell parameters of D2O at 180 K
were therefore fixed to those measured in a previous experi-
ment with a silicon standard (Fortes, 2018), and the diffrac-
tometer constants subsequently refined. Convergence tests were carried out to optimize the k-point
sampling of the Brillouin zone within the Monkhorst–Pack
scheme (Monkhorst & Pack, 1976) and the kinetic energy cut-
off of the plane-wave basis set. For -ammonium carbamate, a
converged grid of 2 6 5 (0.03 A˚ 1 reciprocal lattice
spacing), with an energy cut-off of 1000 eV, yielded a total
energy convergence better than 103 eV. For -ammonium
carbamate, a k-point mesh of 2 2 3 (0.05 A˚ 1 reciprocal 462
C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate 4.1. Behaviour of D2O ice Ih upon warming ( )
( )
( )
( )
N1—H(D)4
1.055
1.052 (5)
0.93 (3)
0.85 (6)
N1—H(D)5
1.051
1.076 (5)
0.93 (3)
0.91 (6)
N1—H(D)6
1.064
1.049 (5)
0.93 (3)
0.75 (6)
NH(D)4 volume
0.5987
0.6106
0.4166
0.3205
Distortion index
0.0057
0.0098
0.0028
0.08704
Quadratic elongation
1.001
1.0026
1.0026
1.0615
Bond-angle variance
3.4483
10.2483
9.7185
114.3099
H(D)1 O1
1.863
1.949 (5)
2.16 (3)
2.12 (5)
H(D)2 O1†
2.516
2.405 (5)
2.70 (3)
2.64 (6)
H(D)3 O2
1.674
1.690 (5)
1.82 (3)
1.77 (5)
H(D)4 O2
1.762
1.792 (5)
1.93 (3)
2.13 (5)
H(D)5 O1
1.767
1.779 (5)
1.93 (3)
1.93 (6)
H(D)6 O1
1.862
1.914 (6)
2.03 (3)
2.19 (6)
N2—H(D)1 O1
177.1
171.2 (4)
174.7 (8)
174 (5)
N2—H(D)2 O1†
148.0
150.4 (4)
149.9 (8)
158 (1)
N1—H(D)3 O2
170.2
170.1 (4)
171.4 (8)
166 (4)
N1—H(D)4 O2
164.3
166.2 (4)
162.4 (8)
138 (5)
N1—H(D)5 O1
170.3
170.5 (4)
168.5 (8)
173 (4)
N1—H(D)6 O1
157.5
158.4 (4)
155.4 (7)
158 (5)
Notes: (†) in Adams & Small (1973), this is suggested to not be a hydrogen bond. Figure 4
Neutron powder diffraction patterns acquired at 160 K (top) and 170 K
(bottom) in the highest resolution backscattering banks of HRPD. Red
symbols represent the measured data, green lines the result of Rietveld
refinement, pink lines the difference profile and the tick marks the
expected positions of each Bragg reflection for: (a) ND4ND2CO2 (black);
(b) D2O ice Ih (red); (c) ND3D2O (blue); (d) ND32D2O (green). At
160 K, peaks of ND3D2O appear, and at 170 K, peaks of ND32D2O also
appear; by 180 K, these peaks have disappeared. Figure 4 thermal expansion is shifted to a lower temperature. Fur-
thermore, the deviation is associated almost entirely with the
behaviour of the crystal’s a axis; this is most apparent from a
plot of the c/a ratio against temperature (Fig. 3). From 180 to
135 K, the c/a ratio is in excellent agreement with both the
absolute values and the temperature dependence found in
pure D2O (Fortes, 2018); below 135 K, the c/a ratio increases
systematically. The dependence of the c/a ratio in ice Ih on both thermal
history and chemical doping was described by Fortes (2019),
who attributed the observed effects to changes in partial order
in the crystal. C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate
46 3. Computational methods To provide further information for planetary models, such as
high-pressure behaviour, and to provide an accurate structure
for -ammonium carbamate, both structures of ammonium Figure 3
(a)/(b) Refined unit-cell parameters, (c) unit-cell volume and (d) c/a ratio of D2O ice Ih compared to literature values. Solid symbols are from Le Bail
refinements at each temperature step and black symbols are from Fortes (2018). There is a clear change in thermal expansion behaviour – principally of
the a axis – below ca 135 K. Figure 3
(a)/(b) Refined unit-cell parameters, (c) unit-cell volume and (d) c/a ratio of D2O ice Ih compared to literature values. Solid symbols are from Le Bail
refinements at each temperature step and black symbols are from Fortes (2018). There is a clear change in thermal expansion behaviour – principally of
the a axis – below ca 135 K. 462
C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate 462
C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate Acta Cryst. (2022). B78, 459–475 research papers research papers lattice spacing), with an energy cut-off of 980 eV, yielded a
total energy convergence better than 103 eV. 4.1. Behaviour of D2O ice Ih upon warming 4.1. Behaviour of D2O ice Ih upon warming DFT
athermal
HRPD
neutron
4.2 K
X-ray
293 (2) K
(Baisch et al.,
2006)
X-ray
295 K
(Adams &
Small, 1973)
C1—O1
1.300
1.247 (5)
1.269 (3)
1.270 (5)
C1—O2
1.285
1.272 (5)
1.266 (2)
1.279 (4)
C1—N2
1.361
1.362 (4)
1.340 (3)
1.348 (5)
N2—H(D)1
1.034
1.018 (5)
0.84 (3)
0.85 (6)
N2—H(D)2
1.019
1.002 (5)
0.81 (3)
0.83 (7)
N1—H(D)3
1.044
1.067 (4)
0.94 (4)
1.00 (5)
N1—H(D)4
1.055
1.052 (5)
0.93 (3)
0.85 (6)
N1—H(D)5
1.051
1.076 (5)
0.93 (3)
0.91 (6)
N1—H(D)6
1.064
1.049 (5)
0.93 (3)
0.75 (6)
NH(D)4 volume
0.5987
0.6106
0.4166
0.3205
Distortion index
0.0057
0.0098
0.0028
0.08704
Quadratic elongation
1.001
1.0026
1.0026
1.0615
Bond-angle variance
3.4483
10.2483
9.7185
114.3099
H(D)1 O1
1.863
1.949 (5)
2.16 (3)
2.12 (5)
H(D)2 O1†
2.516
2.405 (5)
2.70 (3)
2.64 (6)
H(D)3 O2
1.674
1.690 (5)
1.82 (3)
1.77 (5)
H(D)4 O2
1.762
1.792 (5)
1.93 (3)
2.13 (5)
H(D)5 O1
1.767
1.779 (5)
1.93 (3)
1.93 (6)
H(D)6 O1
1.862
1.914 (6)
2.03 (3)
2.19 (6)
N2—H(D)1 O1
177.1
171.2 (4)
174.7 (8)
174 (5)
N2—H(D)2 O1†
148.0
150.4 (4)
149.9 (8)
158 (1)
N1—H(D)3 O2
170.2
170.1 (4)
171.4 (8)
166 (4)
N1—H(D)4 O2
164.3
166.2 (4)
162.4 (8)
138 (5)
N1—H(D)5 O1
170.3
170.5 (4)
168.5 (8)
173 (4)
N1—H(D)6 O1
157.5
158.4 (4)
155.4 (7)
158 (5)
Notes: (†) in Adams & Small (1973), this is suggested to not be a hydrogen bond. When comparing D2O ice Ih unit-cell parameters to
literature values, there is a significant difference in the ice unit-
cell parameters compared with pure ice at low temperatures
(Fig. 3). Although the unit-cell volumes at 180 K agree well,
there is a growing divergence at lower temperatures, such that
the unit-cell volume is smaller than that of pure D2O ice Ih at
10 K by 0.11% and the transition to negative volumetric thermal expansion is shifted to a lower temperature. Fur-
thermore, the deviation is associated almost entirely with the
behaviour of the crystal’s a axis; this is most apparent from a
plot of the c/a ratio against temperature (Fig. 3). 4.1. Behaviour of D2O ice Ih upon warming From 180 to
135 K, the c/a ratio is in excellent agreement with both the
absolute values and the temperature dependence found in
pure D2O (Fortes, 2018); below 135 K, the c/a ratio increases
systematically. The dependence of the c/a ratio in ice Ih on both thermal
history and chemical doping was described by Fortes (2019),
who attributed the observed effects to changes in partial order
in the crystal. We therefore propose that small concentrations
of ammonium ions present in our D2O ice Ih sample effects
similar very subtle structural changes that drive the c/a ratio to
adopt a nearly ideal hexagonal close-packed value (1.630). In addition to the likely very small quantities of ammonium
ions trapped in the crystal structure of ice Ih, it appears that
Figure 4
Neutron powder diffraction patterns acquired at 160 K (top) and 170 K
(bottom) in the highest resolution backscattering banks of HRPD. Red
symbols represent the measured data, green lines the result of Rietveld
refinement, pink lines the difference profile and the tick marks the
expected positions of each Bragg reflection for: (a) ND4ND2CO2 (black);
(b) D2O ice Ih (red); (c) ND3D2O (blue); (d) ND32D2O (green). At
160 K, peaks of ND3D2O appear, and at 170 K, peaks of ND32D2O also
appear; by 180 K, these peaks have disappeared. Table 1 Table 1 Table 1
Comparison of bond lengths, polyhedral volumes, various distortion
metrics and hydrogen-bond parameters (A˚ , ) in -ammonium carba-
mate. Comparison of bond lengths, polyhedral volumes, various distortion
metrics and hydrogen-bond parameters (A˚ , ) in -ammonium carba-
mate. A series of calculations were then performed in which the
ions were allowed to move according to the Hellman–
Feynman forces with the symmetry maintained, and the unit-
cell shape was allowed to vary; the initial structural para-
meters of -ammonium carbamate were those obtained from
our neutron powder diffraction data at 4.2 K and of
-ammonium carbamate were taken from Kuhn et al. (2007). The values are from the outputs of CASTEP and measurements on HRPD, a
powder X-ray diffraction experiment (Baisch et al., 2006) and a single-crystal
X-ray diffraction experiment (Adams & Small, 1973). Note that the HRPD
sample was deuterated. Atomic labels in Baisch et al. (2006) correspond to:
H11 = H3, H12 = H2, H22 = H5, H23 = H6, H24 = H4 and N2 = N1, according
to the labelling of Adams & Small (1973). The distortion index is based on
bond lengths in the polyhedra and was defined by Baur (1974). ‘Quadratic
elongation’ gives a quantative measure of polyhedral distortion, which is
independent of the effective polyhedron size (Robinson et al., 1971), and
‘bond-angle variance’ gives a quantative measure of how the bond angles in
the tetrahedra deviate from the ideal value of 109.28 – lower values equate to
bond angles closer to the ideal (Robinson et al., 1971). 4. Results and discussion 4. Results and discussion 4.1. Behaviour of D2O ice Ih upon warming We therefore propose that small concentrations
of ammonium ions present in our D2O ice Ih sample effects
similar very subtle structural changes that drive the c/a ratio to
adopt a nearly ideal hexagonal close-packed value (1.630). Figure 4 g
Neutron powder diffraction patterns acquired at 160 K (top) and 170 K
(bottom) in the highest resolution backscattering banks of HRPD. Red
symbols represent the measured data, green lines the result of Rietveld
refinement, pink lines the difference profile and the tick marks the
expected positions of each Bragg reflection for: (a) ND4ND2CO2 (black);
(b) D2O ice Ih (red); (c) ND3D2O (blue); (d) ND32D2O (green). At
160 K, peaks of ND3D2O appear, and at 170 K, peaks of ND32D2O also
appear; by 180 K, these peaks have disappeared. In addition to the likely very small quantities of ammonium
ions trapped in the crystal structure of ice Ih, it appears that 463 Acta Cryst. (2022). B78, 459–475 research papers Figure 6
The R2
2(8) carbamate ionic dimers seen in the structure of -ammonium
carbamate (ND4ND2CO2). Faded tetrahedra are below the plane of the
centrosymmetric ring structure and the dashed lines represent H(D)
bonds. there was also sufficient excess ammonia present – likely as an
amorphous aqueous solid in pores and on grain boundaries –
to form ammonia hydrates. These were seen in the diffraction
patterns during warming of the sample, with the first impurity
phase appearing at 160 K. Peaks from this phase became
larger at 170 K and were joined by peaks from another
accessory phase (Fig. 4). During the final measurement at
180 K, all impurity peaks had disappeared completely. We matched the peaks from both accessory phases; the first
to appear was ammonia monohydrate (ND3D2O) and the
second was ammonia dihydrate (ND32D2O). Since these are
both known to melt between 170 and 180 K, it is not surprising
that they are absent from the 180 K diffraction data. The presence of excess water in the form of ice meant we
were obliged to keep the sample below the melting point of
water. The addition of even small amounts of water from
moisture in the atmosphere to ammonium carbamate is
enough to slowly form ammonium bicarbonate. 4.1. Behaviour of D2O ice Ih upon warming With the
presence of ammonium ions in the sample, eventually melting
and forming ammonium hydrates, the melting point of water
would be significantly reduced, and we could not be certain as
to when the sample would start to decompose, so it was
decided to halt the experiment at 180 K to be certain the
sample did not melt. Figure 6 g
The R2
2(8) carbamate ionic dimers seen in the structure of -ammonium
carbamate (ND4ND2CO2). Faded tetrahedra are below the plane of the
centrosymmetric ring structure and the dashed lines represent H(D)
bonds. There are many different possible arrangements of these
rings within a crystal structure, including various ring, tape,
and sheet-like motifs (Leiserowitz & Hagler, 1983). In
ammonium carbamate, layers of these hexagonal rings are
alternately arranged perpendicular to one another, known as a
herringbone motif arrangement. Indeed, the space group of
ammonium carbamate, Pbca, can generate an interlayer
herringbone motif between the terminal atoms of the amide
residue groups, R, which lie on the outside of the bilayer, due
to the b-glide plane (Leiserowitz & Hagler, 1983). The form of
the ammonium carbamate motifs in -ammonium carbamate
is therefore similar to the shallow glide motif in primary amide
structures. 464
C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate 4.2. a-Ammonium carbamate 4.2.1. Structure and bonding. The structure consists of
ND4
+ tetrahedra and planar ND2CO2
anions linked by
moderately strong hydrogen bonds [H(D) O in the range
1.690–1.949 A˚ ]. Pairs of carbamate ions run parallel to the b
axis, which are linked via ammonium tetrahedra (Fig. 5). Hydrogen bonding between centrosymmetric pairs of carba-
mate ions creates an R2
2(8) ring motif, measuring 4.286 A˚ ,
between centrosymmetric pairs of C atoms; these rings are
typically seen in primary amide structures, with amide mol-
ecules, R-CONH2, forming the rings (Fig. 6). In the shallow glide motif, the spacing between layers of the
same orientation is typically 3.4 A˚ ; in ammonium carbamate,
this spacing is almost doubled in length, at 6.436 or 6.681 A˚
(equivalent to the b and c axes, respectively), due to the
interlayer motif acting as an additional layer. Three C atoms of Figure 5
The structure of -ammonium carbamate, viewed parallel to the b axis. The grey dashed lines are H(D) O hydrogen bonds, and the solid black line is
the unit cell. Figure 5 Figure 5
The structure of -ammonium carbamate, viewed parallel to the b axis. The grey dashed lines are H(D) O hydrogen bonds, and the solid black line is
the unit cell amate, viewed parallel to the b axis. The grey dashed lines are H(D) O hydrogen bonds, and the solid black line is 464
C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate Acta Cryst. (2022). B78, 459–475 research papers an angle of 150.4 (4). This work shows that the D1 O1 and
D6 O1 hydrogen bonds are slightly longer than the
remaining two bonds, agreeing with the work of Adams &
Small (1973). an angle of 150.4 (4). This work shows that the D1 O1 and
D6 O1 hydrogen bonds are slightly longer than the
remaining two bonds, agreeing with the work of Adams &
Small (1973). Parameters obtained by fitting a second-order Gru¨neisen–Debye model
with a single Debye temperature [equation (S2)] to the unit-cell volume
of -ammonium carbamate between 4.2 and 180 K. V0
(A˚ )
K0/
(GPa)
D
(K)
Q
(J)
b
Adjusted
R2
Second-order 733.15 (1) 49 (1)
208 (5) 3.60 (9) 1017 10 (1) 0.99991 4.2.2. Thermal expansion of a-ammonium carbamate. 4.2. a-Ammonium carbamate The
thermal
expansion
was
determined
for
deuterated
-ammonium
carbamate
from
the
unit-cell
parameters
collected on HRPD at 4.2 K, in 5 K increments from 10 to
150 K, and in 10 K increments from 150 to 180 K. In order to model the thermal expansion to obtain useful
thermoelastic parameters, a second-order Gru¨neisen–Debye
model, with a single Debye temperature [equation (S2) in the
supporting information], was used in least-squares fitting to
the unit-cell volume, with the values V0, D, Q and b freely
refined (further information regarding Gru¨neisen–Debye
models can be found in the supporting information). The
results of this fit are given in Table 2, and shown in Fig. 7. The
calculated thermal expansion coefficients are shown in Fig. 8. The thermal expansion appears to be dominated by low-
frequency vibrational modes with characteristic temperatures
in the range 200–230 K; this suggests that the phonon density
of states has a cut-off at 17.2–19.8 meV (equivalent to In order to model the thermal expansion to obtain useful
thermoelastic parameters, a second-order Gru¨neisen–Debye
model, with a single Debye temperature [equation (S2) in the
supporting information], was used in least-squares fitting to
the unit-cell volume, with the values V0, D, Q and b freely
refined (further information regarding Gru¨neisen–Debye
models can be found in the supporting information). The
results of this fit are given in Table 2, and shown in Fig. 7. The
calculated thermal expansion coefficients are shown in Fig. 8. separate hexagonal ring structures usually have a separation
of 10 A˚ , but here the distance is 9.27 A˚ ; this is accom-
modated by the tilt angle of the ring structures being 68
rather than a typical 61 (Leiserowitz & Hagler, 1983). In terms of bonds and bond lengths (see Table 1), the length
of the N2—D1 bond is longer than the N2—D2 bond, due to
the D1 atom donating a hydrogen bond [forming part of the
R2
2(8) H(D)-bonded motif]. 4.2. a-Ammonium carbamate The white circles show values from
the numerical derivative of the refined unit-cell data, the solid red lines indicate the expansivities computed from the exponential model [equation (1)]
and the solid blue line is from a power-law/exponential model (see Fortes, 2018) fitted to the D2O ice Ih present as a contaminant in the sample. volume. Therefore, the thermal expansion data were also
determined by fitting the unit-cell parameters using a linear
combination of a power law and an exponential function: wavenumbers 140–160 cm1 or 4.2–4.8 THz, respectively). The fit of the Gru¨neisen–Debye model with a single Debye
temperature
also
suggests
that
the
heat
capacity
of
-ammonium carbamate does not approach the classical
Dulong and Petit high-temperature limit (3nkB), but instead
tends towards a high-temperature limit of 2nkB. T
ð Þ ¼
h
p Tðq=TÞi
þ r exp
s
T
ð1Þ ð1Þ The value of K0/ found from this Gru¨neisen–Debye fit to
the unit-cell volume is 49 (1) GPa. This value is much greater
than that calculated from fitting an equation of state to the
outputs of the DFT calculations (see x4.2.4). The reason for
this is most likely that a Debye model with a single Debye
temperature does not properly describe the internal energy of
a molecular solid such as -ammonium carbamate (see
supporting information). An alternative explanation is that
6¼ 1; if a value of K0 is assumed from the high-pressure DFT
simulations, where K0 = 16.5 GPa, equation (S2) gives
0.33 (1). It could also be that -ammonium carbamate shows a
temperature dependence of , which is assumed to be constant
in this approximation. where p and r are scaling terms, and q and s are a ‘char-
acteristic temperature’ indicative of the saturation behaviour
of the function. The temperature dependence of the unit-cell
parameters, or unit-cell volume, is then given by: X T
ð Þ ¼ X0 exp
Z T
0
T
ð ÞdT
ð2Þ ð2Þ where X(T) is either an axial length or the unit-cell volume. The results (Table 3) have small uncertainties; furthermore,
they lack the oscillatory behaviour of polynomial functions
and give the correct behaviour at temperatures close to 0 K. As can be seen in Fig. 4.2. a-Ammonium carbamate The N2—D2 bond was suggested
not to be involved in a hydrogen bond by Adams & Small
(1973); it appears that this H(D) atom may be sharing an
interaction with the O1 atom, although the (H)D2 O1
distance is longer and more distorted than the remaining H(D)
bonds – the D2 O1 bond length measures 2.405 (5) A˚ , with The thermal expansion appears to be dominated by low-
frequency vibrational modes with characteristic temperatures
in the range 200–230 K; this suggests that the phonon density
of states has a cut-off at 17.2–19.8 meV (equivalent to Figure 7
Unit-cell parameters (a)–(c) and unit-cell volume (d) of deuterated -ammonium carbamate from 4.2 to 180 K. The solid symbols are from Le Bail
refinements, with the solid red lines indicating the exponential model [equations (1) and (2)] fitted to the unit-cell parameters. A second-order (black
line) Gru¨neisen–Debye model with a single Debye temperature [equation (S2)] is also fitted to the unit-cell volume. The second-order Gru¨neisen–Debye
model is not distinguishable from the exponential model at this scale. 7 Figure 7
Unit-cell parameters (a)–(c) and unit-cell volume (d) of deuterated -ammonium carbamate from 4.2 to 180 K. The solid symbols are from Le Bail
refinements, with the solid red lines indicating the exponential model [equations (1) and (2)] fitted to the unit-cell parameters. A second-order (black
line) Gru¨neisen–Debye model with a single Debye temperature [equation (S2)] is also fitted to the unit-cell volume. The second-order Gru¨neisen–Debye
model is not distinguishable from the exponential model at this scale. C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate
465 C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate
465 465 Acta Cryst. (2022). B78, 459–475 research papers Figure 8
(a)–(c) Linear and (d) volume thermal expansion coefficients of deuterated -ammonium carbamate with D2O ice Ih. The white circles show values from
the numerical derivative of the refined unit-cell data, the solid red lines indicate the expansivities computed from the exponential model [equation (1)]
and the solid blue line is from a power-law/exponential model (see Fortes, 2018) fitted to the D2O ice Ih present as a contaminant in the sample. Figure 8
(a)–(c) Linear and (d) volume thermal expansion coefficients of deuterated -ammonium carbamate with D2O ice Ih. 466
C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate 4.2. a-Ammonium carbamate 7, despite its ad hoc nature, the expo-
nential model does an excellent job of fitting the experimental
results, showing only extremely small differences from the
Gru¨neisen–Debye model (nevertheless, we present the fitting
of different Debye models in the supporting information). Although Gru¨neisen–Debye models can provide useful
thermoelastic parameters, they can be difficult to evaluate
(due to their complexity and, in this case, lack of heat capacity
data) and are only dimensionally correct for the unit-cell Acta Cryst. (2022). B78, 459–475 research papers The linear expansivities and the volumetric expansivity,
derived from equation (1), are shown in Fig. 8. The symbols
are obtained as point-by-point derivatives of the experimental
unit-cell parameters, providing a useful visual indicator of the
uncertainties due to their scatter. There is a large degree of anisotropy in the structure upon
warming; the greatest expansion is along the b axis, with the a
and c axes having similar expansivities. The values of the
volumetric thermal expansion coefficient are comparable with
water ice and ammonium carbonate monohydrate at the same due to their scatter. water ice and ammonium carbonate monohyd
). B78, 459–475
C. M. Howard et al. Ab initio simulations of - and -ammonium
y–volume [E(V)] and (b) pressure–volume [P(V)] curves of -ammonium carbamate, calculated using CASTEP. T
order Birch–Murnaghan equation of state [equations (S5) and (S6), BMEOS3]. (c)–(f) The relative change of the le
unction of pressure of -ammonium carbamate, showing the a axis (green), b axis (blue), c axis (red) and unit-cell v
how the different compressive regimes explained in the text that are not obvious in the E(V) and P(V) curves. T
to the points to guide the eye, where an equation of state cannot be fitted. Figure 9
Plots of (a) energy–volume [E(V)] and (b) pressure–volume [P(V)] curves of -ammonium carbamate, calculated using CASTEP. The solid lines show
the best fit third-order Birch–Murnaghan equation of state [equations (S5) and (S6), BMEOS3]. (c)–(f) The relative change of the length of the unit-cell
dimensions as a function of pressure of -ammonium carbamate, showing the a axis (green), b axis (blue), c axis (red) and unit-cell volume (black). The
shaded regions show the different compressive regimes explained in the text that are not obvious in the E(V) and P(V) curves. The dashed lines are
simple linear fits to the points to guide the eye, where an equation of state cannot be fitted. C. M. C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate research papers To provide information relevant to
simulating -ammonium carbamate in models of icy planetary
interiors, the high-pressure behaviour was calculated by a
series of relaxations over a pressure range between 0.9981
and +14.9952 GPa. ð3Þ with the same values of r and s as determined from the fit to
the unit-cell volume, and 0 = 1523.87 (2) kg m3. 4.2.3. DFT simulations of the structure of a-ammonium
carbamate. The unit-cell volume at ambient pressure and
4.2 K, as measured on HRPD, is 733.126 (9) A˚ 3. The zero-
pressure athermal relaxation of -ammonium carbamate from
CASTEP yielded a unit-cell volume of 743.772 A˚ 3, which
equates to an approximately 1.5% overestimation of the
measured value (Table 4). Although the simulated -ammo-
nium carbamate is protiated, the differences from the
experimental structure, which is deuterated, are likely to be
minor. To quantify elastic parameters, an equation of state was
fitted to the total energy against unit-cell volume [E(V)] and
pressure against unit-cell volume [P(V)] curves (BMEOS3;
Birch, 1952). These plots are given in Fig. 9, with the para-
meters from fitting to the calculated unit-cell parameters of
-ammonium carbamate given in Table 5. The values of X0,
K0, K0
0 and E0 were allowed to freely refine. A parametric form
of the Birch–Murnaghan equation of state was used to fit the
compressibility along each of the unit-cell axes (for b3 and c3;
the a axis is not fitted, which is explained next). This difference in unit-cell volume can largely be attributed
to the angle between the two herringbone-motif carbamate
ions – the simulated value has this close to 90, whereas the
refined structure at 4.2 K has an angle greater than 90. This
means that the b axis has become longer and the c axis shorter
in the simulated unit-cell parameters, resulting in the over- and
underestimation of the individual unit-cell parameters. The
result of relaxing -ammonium carbamate made no significant
changes to the structure. The bond lengths in the structure are
only
marginally
different
between
the
simulated
and
measured structures, i.e. the length of the carbamate ion is
very similar, and the distance between centrosymmetric pairs
of ions is 4.254 A˚ for the simulated and 4.304 (5) A˚ for the
measured structures. 4.2. a-Ammonium carbamate Howard et al. Ab initio simulations of - and -ammonium carbamate
46 C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate
46 467 Acta Cryst. (2022). B78, 459–475 468
C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate research papers Table 3 ab e 3
Parameters obtained by fitting of equations (1) and (2) to the unit-cell
parameters and unit-cell volume of -ammonium carbamate between 4.2
and 180 K. A comparison of the unit-cell parameters of -ammonium carbamate
from the DFTathermal zero-pressure relaxation using CASTEP, from an
X-ray single-crystal diffraction (SXD) experiment at room temperature
(Adams & Small, 1973) and from a powder X-ray diffraction experiment
(PXRD) at room temperature (Baisch et al., 2006). A comparison of the unit-cell parameters of -ammonium carbamate
from the DFTathermal zero-pressure relaxation using CASTEP, from an
X-ray single-crystal diffraction (SXD) experiment at room temperature
(Adams & Small, 1973) and from a powder X-ray diffraction experiment
(PXRD) at room temperature (Baisch et al., 2006). X0
(A˚ , A˚ 3)
P
(104) q
r
(104) s
Adjusted
R2
a axis
17.0517 (2) –
–
0.268 (8) 51 (2)
0.99827
b axis
6.43539 (9) 0.95 (1)
14.5 (3) –
–
0.99973
c axis
6.68077 (6) –
–
0.74 (2)
113 (3) 0.99903
Volume (A˚ 3) 733.148 (9) –
–
1.65 (1)
60.9 (6) 0.99993 Formula
(NH4)+(NH2CO2)
Crystal system
Orthorhombic
Space group
Pbca
Z
8
Reference
This work
This work
This work
Adams &
Small
(1973)
Baisch
et al. (2006)
Method
DFT
Neutron
Neutron
X-ray
X-ray
T (K)
Athermal
4.2
180
295
293 (2)
a axis (A˚ )
17.0796
17.0519 (2)
17.0908 (2)
17.121 (6)
17.119 (4)
b axis (A˚ )
6.61022
6.43518 (7)
6.48215 (8)
6.531 (2)
6.535 (2)
c axis (A˚ )
6.58788
6.68093 (8)
6.7040 (1)
6.742 (3)
6.754 (2)
Volume (A˚ 3)
743.772
733.122 (9)
742.71 (1)
753.9 (5)
755.73 (3) temperature (Fortes, 2018; Fortes et al., 2014). We find no
evidence for negative thermal expansion in the structure. temperature (Fortes, 2018; Fortes et al., 2014). We find no
evidence for negative thermal expansion in the structure. For making a simple density calculation as a function of
temperature for planetary modelling, the density can be
described using only the exponential function of equation (1)
(as was sufficient to describe the volumetric expansion) and
using: slightly longer than the remaining three bonds [excluding
H(D)2 O1], and also agrees well with the work of Adams &
Small (1973). ðTÞ ¼ 0 exp
Z T
0
ðTÞdT
ð3Þ 4.2.4. Simulations of the high-pressure behaviour of a-am-
monium carbamate. research papers bond lengthens slightly, before shortening again. After this
initial reconfiguration, the changes are mainly due to the
H O hydrogen bonds in the rings changing their behaviour,
initially lengthening before shortening. Interestingly, these
changes only manifest themselves in the lengths of the a and b
axes, with barely any effect on the c axis. bond lengthens slightly, before shortening again. After this
initial reconfiguration, the changes are mainly due to the
H O hydrogen bonds in the rings changing their behaviour,
initially lengthening before shortening. Interestingly, these
changes only manifest themselves in the lengths of the a and b
axes, with barely any effect on the c axis. The largest NLC region in the a axis, however, occurs over
the range 8–11 GPa (region III), continuing to a lesser extent
up to 15 GPa (region IV), but this does not seem to translate
into a significant change in the unit-cell volume, as can be
observed in Fig. 10. The NLC apparent in the a axis manifests
itself in the b and c axes in different ways: between 9.0 and
10.5 GPa, there is a marked change in slope of the b axis,
which occurs at the same point as the end of the major part of
the NLC; however, along the c axis, there is no obvious change
in slope. This compressive behaviour continues up to a pressure of
5 GPa. However, along the a axis, between 5 and 8 GPa
(region II), there is a small degree of negative linear com-
pressibility (NLC), followed by an inversion to normal posi-
tive linear compressibility (PLC), averaging over this pressure
range a small degree contraction along the a axis. The cause of
this behaviour is a small rotation of the NH4
+ tetrahedra to
accommodate the closing of the carbamate rings, causing the
carbamate ions to move outwards along the a axis. The cause of this large NLC is once again from the rotation
of the NH4
+ tetrahedra, forcing the carbamate ions to move
apart along the a axis. Alternating chains of ammonium
tetrahedra and carbamate ions along b likely reach a critical
point, in that they cannot move closer together along either Figure 10
Structural features of -ammonium carbamate as a function of pressure. research papers For making a simple density calculation as a function of
pressure, the density was fitted using the equation of state
used to fit P(V) points, where X = /0 (see supporting
information). The fitted parameters are: 0 = 1394.2 kg m3
(value fixed), K0 = 15.4 (3) GPa and K0
0 = 5.2 (1). There is a high degree of anisotropy in the structure when
compressed and, although not immediately apparent from
examination of the E(V) and P(V) curves, there are some
interesting and complex features in how the structure deforms
in response to an external pressure, in particular along the a
axis. The initial loading shows subtle changes to the carbamate
ions, manifesting in changes mostly along the a axis up to
pressures of 5 GPa. During the initial loading, the carbamate
ions reconfigure, particularly one of the H atoms on the N2
amino group. The N2—H1 and N2—H2 bonds shorten and
lengthen, respectively, but in a rather smooth fashion, with the
angles
C1—N2—H1
and
C1—N2—H2
also
changing
smoothly. This results in the carbamate ions themselves
becoming more planar up to a pressure of 2 GPa before
transitioning to a decrease in planarity (Fig. 10). The C1—O1 One thing to note is the distortion index of the ammonium
tetrahedra in the HRPD sample measured at 4.2 K, which is
much larger than the other values in Table 1, but remains an
order of magnitude smaller than that of Adams & Small
(1973). Apart from the distortion of the tetrahedra, the work
on HRPD and the athermal zero-pressure DFT relaxation
shows a very good agreement with the bonding geometry, such
as the H(D)1 O1 and H(D)6 O1 hydrogen bonds being 468
C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate Acta Cryst. (2022). B78, 459–475 research papers research papers This is evident from the transfer of the H O hydrogen bonds
from the ammonium tetrahedra to the carbamate ion (Fig. 10). As the NLC begins, the N1—H6 O1 hydrogen bond
becomes highly strained because of the ammonium tetrahedra
rotating, and instead the bond changes to the O2 atom of the
carbamate molecule. This also causes the change in slope of
the b axis. the a or the b axis. The only way to accommodate the
increasing stress is therefore to rotate the ammonium tetra-
hedra. As the carbamate ions had rotated at a lower pressure
and had been packed closer together by the contraction along
b, one of the O atoms was moved closer to the ammonium
tetrahedra, leading to the formation of a weak hydrogen bond. This is evident from the transfer of the H O hydrogen bonds
from the ammonium tetrahedra to the carbamate ion (Fig. 10). As the NLC begins, the N1—H6 O1 hydrogen bond
becomes highly strained because of the ammonium tetrahedra
rotating, and instead the bond changes to the O2 atom of the
carbamate molecule. This also causes the change in slope of
the b axis. The previously published structure of -ammonium carba-
mate indicated that it does not form the centrosymmetric
dimer ring motifs R2
2(8) seen in -ammonium carbamate;
instead, it forms one-dimensional chains along the mirror
plane by the hydrogen bonding of a nitrile H atom to one of
the carbonyl O atoms (H4 O2) at c/2 intervals. The
remaining nitrile H atom (H3), in this instance, is unlikely to
form a hydrogen bond, due to the N2—H3 O2 hydrogen
bond having a small angle (115) and long length (3 A˚ ). Each carbonyl O atom has two out-of-plane hydrogen bonds
to two separate ammonium tetrahedra, which lie either side of
the mirror plane, with the tetrahedra midway between the
chains. The final transition at a critical pressure of 11.25 GPa
(regions III and IV) is caused by the system reconfiguring to
the rotated ammonium tetrahedra, with the carbamate ions
forced to translate along the a axis. 4.3. b-Ammonium carbamate 4.3.1. DFT structure of b-ammonium carbamate. The zero-
pressure athermal geometry optimization of the -phase from
CASTEP gave a unit-cell volume of 711.6 (2) A˚ 3; although
this equates to an approximately 3% overestimation of the
measured value at 298 K (Kuhn et al., 2007) (Table 6), the
overestimation of the unit-cell volume is likely much larger,
since, intuitively, it is expected the structure will contract upon
cooling. An experiment at low temperature is needed to
confirm the degree of overestimation of the unit-cell volume. However, since no experimental data are currently available,
we present comparisons between the athermal simulation and
the room-temperature experiment, where the differences can
largely be attributed to the bond lengths; DFT calculated bond
lengths for -ammonium carbamate are compared to the
experimental values in Table 7. However, in the DFT-relaxed structure (Fig. 11), the
carbamate molecules have rotated, resulting in the H atoms
changing position. The N2—H3 O2 hydrogen bond has
become quite linear, with an angle of 172, and is much
shorter, at 2.074 A˚ . The relaxing of the H atoms has altered
the bonding geometry so that, now, -ammonium carbamate
forms the same hexagonal ring motif, a double two-centre
hydrogen-bonded R2
2(8) ring that is seen in the -phase, albeit
with a different motif layout to the latter (see Fig. 12); the
motifs instead lay on mirror planes, but are offset by the two
glide planes in the structure. These planar R2
2(8) rings are
joined via ammonium ions at z = 1
4 and z = 3
4. The N—H bond lengths given in Kuhn et al. (2007) are
typically short due to the use of X-ray diffraction. The results
of the present work, therefore, improve on the accuracy on the
H-atom coordinates and are thus a much better determination
of the hydrogen-bond lengths in the structure. Once again, this
allows for more definitive statements regarding the structure
and bonding to be made. It can also be seen in the experimental values that the
ammonium tetrahedra are extremely distorted (Table 8). In
the relaxed structure, the NH4 tetrahedra have a smaller
distortion, with each of the H atoms donating a hydrogen
bond to different carbamate O atoms. The length of the
H1 O1 and H2 O2 hydrogen bonds, which form the out- 0
C. M. Howard et al. research papers Each of the panels shows different regions (shaded regions are II and IV,
corresponding to 5–8 and >11 GPa, respectively) of the compressive behaviour that manifests along the a and b axes. Panels (a)/(b) show the behaviour
of the carbamate molecule changing up to pressures of 2 GPa, (c)–(e) show the changes up to 5 GPa and (f)–(h) show the changing bond geometry as the
O2 H6 hydrogen bond is replaced by the O1 H6 hydrogen bond. Figure 10 Figure 10
Structural features of -ammonium carbamate as a function of pressure. Each of the panels shows different regions (shaded regions are II and IV,
corresponding to 5–8 and >11 GPa, respectively) of the compressive behaviour that manifests along the a and b axes. Panels (a)/(b) show the behaviour
of the carbamate molecule changing up to pressures of 2 GPa, (c)–(e) show the changes up to 5 GPa and (f)–(h) show the changing bond geometry as the
O2 H6 hydrogen bond is replaced by the O1 H6 hydrogen bond. C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate
46 469 Acta Cryst. (2022). B78, 459–475 470
C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate research papers Table 5 Table 6
Comparison of bond lengths (A˚ ), polyhedral volumes, various distortion
metrics and hydrogen-bond parameters (A˚ , ) in -ammonium carba-
mate. Fitted third-order Birch–Murnaghan equation of state parameters
[equations (S5) and (S6)] of -ammonium carbamate. Fits to equation (S5) were achieved using only those pressure values that were
greater than 0 GPa. For the b and c axes, the values fitted were b3 and c3. No
equation of state could be fitted for the a axis due to the presence of negative
linear compression. The -ammonium carbamate values are from the outputs of CASTEP and a
powder X-ray diffraction experiment DFT
athermal
X-ray 298 K
(Kuhn et al., 2007)
C1—O1
1.300
1.287 (9)
C1—O2
1.285
1.320 (9)
C1—N2
1.361
1.294 (9)
N2—H1
1.034
0.89 (6)
N2—H2
1.019
0.83 (6)
N1—H1
1.044
0.99 (4)
N1—H2
1.055
1.12 (4)
N2—H3
1.051
0.89 (7)
N2—H4
1.064
0.83 (6)
NH4 volume
0.5987
0.5883
Distortion index
0.0057
0.0600
Quadratic elongation
1.001
1.0231
Bond-angle variance
3.4483
65.0215
H1 O1
1.710
1.87 (4)
H2 O2
1.804
1.77 (4)
H3 O2
2.074
3.01 (6)
H4 O2
2.091
2.15 (6)
N1—H1 O1
171.31
100.5 (6)
N1—H2 O2
165.40
157.2 (8)
N2—H3 O2
171.67
115.0 (6)
N2—H4 O2
176.67
143 (2) X0
(A˚ , A˚ 3)
K0
(GPa)
K0
0
K00
0
(GPa1)
E0
(eV molecule1)
BMEOS3, P(b)† 6.594 (9) 10.3 (4) 3.6 (1)
0.35 (2)*
BMEOS3, P(c)
6.595 (7) 16.2 (4) 3.08 (5) 0.236 (4)*
BMEOS3, P(V)
744 (2)
16.5 (4) 5.0 (1)
0.36 (3)*
BMEOS3, E(V)
743.7 (6) 16.0 (3) 5.35 (9) 0.44 (3)*
1669.9149 (4)
Notes: (†) fitted to points below 9 GPa due to change of slope; (*) derived from fitted
values of K0 and K0
0. Notes: (†) fitted to points below 9 GPa due to change of slope; (*) derived from fitted
values of K0 and K0
0. the a or the b axis. The only way to accommodate the
increasing stress is therefore to rotate the ammonium tetra-
hedra. As the carbamate ions had rotated at a lower pressure
and had been packed closer together by the contraction along
b, one of the O atoms was moved closer to the ammonium
tetrahedra, leading to the formation of a weak hydrogen bond. 4.3. b-Ammonium carbamate Ab initio simulations of - and -ammonium carbamate Acta Cryst. (2022). B78, 459–475 research papers Table 8
Fitted equation of state parameters [equations (S5) and (S6)] of
-ammonium carbamate. Table 7 A comparison of the unit-cell parameters of -ammonium carbamate
from the DFT athermal zero-pressure relaxation using CASTEP and a
powder X-ray diffraction (PXRD) experiment at room temperature
(Kuhn et al., 2007). Fits to equation (S5) were achieved using only those pressure values that were
greater than 0 GPa. For the axial values, the cubes of the axes were fitted. Formula
(NH4)+(NH2CO2)
Crystal system
Orthorhombic
Space group
Ibam
Z
8
Reference
This work
Kuhn et al. (2007)
Method
DFT
X-ray
T (K)
Athermal
298
a axis (A˚ )
9.8718
10.1428
b axis (A˚ )
9.5064
9.1579
c axis (A˚ )
7.6071
7.4485
Volume (A˚ 3)
713.89
691.87 X0
(A˚ , A˚ 3)
K0
(GPa)
K0
0
K00
0
(GPa1)
E0
(eV molecule1)
P(a)
9.872 (3)
39 (2)
9.3 (6)
0.9 (2)
P(b)
9.508 (3)
32 (1)
17 (1)
6 (1)
P(c)
7.620 (8)
12.2 (3)
2.76 (5)
0.345 (4)
P(V)
713.6 (5)
24.4 (4)
4.09 (9)
0.164 (7)
E(V)
711.6 (2)
23.3 (2)
4.51 (8)
0.200 (7)
1669.9084 (3) In -ammonium carbamate, the a and b axes compress at a
much slower rate than the c axis (Fig. 13). The compression
seen along the a and b axes is caused by the similar hydrogen-
bond geometry in both directions from the R2
2(8) ring motifs of
the carbamate ions. The structure is much less stiff perpen-
dicular to the planar layers, in which the planar layers of
carbamate ions are linked by ammonium tetrahedra halfway
between. This can be seen in the compression of the medium-
range hydrogen bonds that connect the layers of carbamate
ions via ammonium tetrahedra; the O1 H1 and O2 H2
hydrogen bonds compress by 5.32 and 6.65%, respectively,
over a pressure range of 0 to 10.025 GPa. of-plane bonds between the NH4 tetrahedra and planar
NH2CO2 ions, are shorter than the remaining two hydrogen
bonds that form parallel to the planes. of-plane bonds between the NH4 tetrahedra and planar
NH2CO2 ions, are shorter than the remaining two hydrogen
bonds that form parallel to the planes. 4.3.2. Simulations of the high-pressure behaviour of b-am-
monium carbamate. C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate
471 4.3. b-Ammonium carbamate As with -ammonium carbamate, the
high-pressure behaviour of -ammonium carbamate was
simulated to provide information relevant for planetary
models. A series of static relaxations were performed over a
pressure range between 1.9977 and +10.025 GPa. To gain information on the bulk elastic parameters, E(V)
and P(V) curves were fitted with a BMEOS3 equation of state,
with the plots given in Fig. 13 and values of the fit in Table 8. The values of X0, K0, K0
0 and E0 were allowed to freely refine. Plots of the unit-cell parameters as a function of pressure are
given in Fig. 13. A parametric form of the Birch–Murnaghan
equation of state was used to fit the compressibility along each
of the unit-cell axes (for a3, b3 and c3). The density as a
function of pressure was fitted using the same equation of
state used to fit P(V) points. The fitted parameters are: 0 =
1452.7 (8) kg m3, K0 = 24.2 (3) GPa and K0
0 = 4.11 (8). Figure 12
Comparison of the hydrogen-bond motif of -ammonium carbamate in
the ab plane from (a) an X-ray diffraction experiment (Kuhn et al., 2007)
and (b) the zero-pressure structure from CASTEP with symmetry
operators overlain. The relaxed structure shows the same hexagonal-ring
motif present in the -phase. Figure 11
View of the DFT-simulated structure of -ammonium carbamate parallel
to the b axis. The grey dashed lines are H O hydrogen bonds and the
solid black line is the unit cell. Figure 12 Figure 12 Figure 12
Comparison of the hydrogen-bond motif of -ammonium carbamate in
the ab plane from (a) an X-ray diffraction experiment (Kuhn et al., 2007)
and (b) the zero-pressure structure from CASTEP with symmetry
operators overlain. The relaxed structure shows the same hexagonal-ring
motif present in the -phase. Figure 11 g
View of the DFT-simulated structure of -ammonium carbamate parallel
to the b axis. The grey dashed lines are H O hydrogen bonds and the
solid black line is the unit cell. 471 Acta Cryst. (2022). B78, 459–475 472
C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate research papers Figure 14
Calculated
enthalpy
difference
between
-ammonium
carbamate
(normalized to zero) and -ammonium carbamate (red squares). Enthalpies were output from the dispersion-corrected simulations of
CASTEP, with the lines a simple polynomial fit (solid) and a linear fit
(dashed) to the points. The relative stability of the two phases is assessed by
calculating the enthalpy (H) as a function of pressure for each
phase, calculated using H = U + PV; since the simulations are
athermal the enthalpy is equal to the Gibbs free energy. The
enthalpies are compared in Fig. 14. The -polymorph has the
lowest enthalpy of the two phases and is hence the stable
phase at zero-pressure in the athermal limit, with a difference
of 399.33 J mol1 with respect to the -polymorph. When
increasing the pressure, the enthalpies of the two phases cross;
the transition pressure between the two phases, where H = 0,
is 0.4 GPa. The -polymorph has the lowest enthalpy above
0.4 GPa and is then the stable phase in the athermal limit. This trend, of the -polymorph having an increasing enthalpy
difference relative to the -polymorph, continues up to pres-
sures of 2 GPa. However, as the -phase starts to undergo
subtle structural changes above this pressure, the trend
reverses and the enthalpy difference between the two phases
begins to decrease. Fig
Cal
(no
Ent g
Calculated
enthalpy
difference
between
-ammonium
carbamate
(normalized to zero) and -ammonium carbamate (red squares). Enthalpies were output from the dispersion-corrected simulations of
CASTEP, with the lines a simple polynomial fit (solid) and a linear fit
(dashed) to the points. 5.1. Thermoelastic behaviour The presence of negative linear compression in -ammo-
nium carbamate is rather uncommon, since most materials
compress in all directions when hydrostatically stressed. It
seems rather curious that the negative linear compression
behaviour calculated to exist in the -phase is not seen in
-ammonium carbamate, since both phases consist of the same
centrosymmetric R2
2(8) ring motifs. If it were found in the C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate
47 research papers research papers p p
13
(a) energy–volume [E(V)] and (b) pressure–volume [P(V)] curves of -ammonium carbamate, calculated using CASTEP. The solid l
-fit third-order Birch–Murnaghan equation of state (BMEOS3) [equations (S5) and (S6)]. (c)–(f) The unit-cell dimensions of -a
te as a function of pressure. The solid lines are fitted BMEOS3 [equation (S5)], corresponding to the a axis (green), b axis (blue), c axis
volume (black) Figure 13
Plots of (a) energy–volume [E(V)] and (b) pressure–volume [P(V)] curves of -ammonium carbamate, calculated using CASTEP. The solid lines show
the best-fit third-order Birch–Murnaghan equation of state (BMEOS3) [equations (S5) and (S6)]. (c)–(f) The unit-cell dimensions of -ammonium
carbamate as a function of pressure. The solid lines are fitted BMEOS3 [equation (S5)], corresponding to the a axis (green), b axis (blue), c axis (red) and
unit-cell volume (black). 472
C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate 472
C. M. Howard et al. Ab initio simulations of - and -ammonium carbamate Acta Cryst. (2022). B78, 459–475 research papers References Adams, J. M. & Small, R. W. H. (1973). Acta Cryst. B29, 2317–2319. Ammannito, E. et al. (2016). Science, 353, aaf4279. Adams, J. M. & Small, R. W. H. (1973). Acta Cryst. B29, 2317–2319. Ammannito, E. et al. (2016). Science, 353, aaf4279. Arnold, O. et al. (2014). Nucl. Instrum. Methods Phys. Res. A, 764,
156–166. Arnold, O. et al. (2014). Nucl. Instrum. Methods Phys. Res. A, 764,
156–166. Artemieva, N. & Lunine, J. (2003). Icarus, 164, 471–48 Baisch, U., Pagano, S., Zeuner, M. & Schnick, W. (2006). Eur. J. Inorg. Chem. 2006, 3517–3524. Baur, W. H. (1974). Acta Cryst. B30, 1195–1215. research papers -structure, a ‘wine-rack’ motif that forms between the
carbamate ions on the mirror planes and the ammonium ions
that form halfway between these layers would cause the
carbamate ions on the mirror planes to squeeze closer toge-
ther, with the ammonium ions moving further apart to
accommodate this change. Further experimental work, in
particular a high-pressure study, is needed to verify the exis-
tence of the calculated NLC seen in -ammonium carbamate,
whether a phase transition would occur before the NLC region
and to investigate the phase relationship between the two
known phases. ammonium carbamate for further ab initio simulations have
been obtained, and the thermal expansion coefficients of -
ammonium carbamate are now also known. However, further
work is still required to understand the properties of ammo-
nium carbamate in planetary environments. In particular,
vibrational spectra are required for unambiguous identifica-
tion on planetary surfaces, as is a study of the P–T phase
diagram under conditions applicable to icy bodies, i.e. high
pressure and low temperature. 474
C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate Funding information When the two phases of ammonium carbamate are
compared against thermal expansion measurements of other
compounds in this ternary system, the high degree of aniso-
tropy is comparable. The ammonium carbonates are highly
anisotropic, typically with one unique axis, and two axes that
behave similarly, due to planar layers of interconnected
ammonium tetrahedra. Indeed, in ammonium carbonate
monohydrate, the c axis has been shown from variable-
temperature neutron single-crystal data to exhibit negative
linear expansion, whilst the a and b axes exhibit large positive
expansivities of similar magnitude (Fortes et al., 2014). Funding for this research was provided by: Science and
Technology Facilities Council (grant No. ST/K000934/1). 4.4. Thermodynamics Since the total internal energies of both structures have
been simulated using DFT as a function of pressure, it is
possible to assess the relative stability of both phases in order
to determine where a phase change may occur as a function of
pressure. Figure 15 Figure 15
Projections of the thermal expansion coefficient representation surface in the yz (top), xz (middle) and xy (bottom) planes at 60, 120 and 180 K. Solid
green lines are positive values. Corresponding projections of the structure of -ammonium carbamate are shown on the right. Figure 15
Projections of the thermal expansion coefficient representation surface in the yz (top), xz (middle) and xy (bottom) planes at 60, 120 and 180 K. Solid
green lines are positive values. Corresponding projections of the structure of -ammonium carbamate are shown on the right. 473 Acta Cryst. (2022). B78, 459–475 research papers 6. Conclusion The measured thermal expansion correlates well with the
calculated high-pressure behaviour of -ammonium carba-
mate. The high degree of anisotropy under pressure in both
these
polymorphs
is
due
to
details
in
the
structure:
-ammonium carbamate’s b axis is the most compressible, due
to few hydrogen bonds forming between layers of ammonium
tetrahedra and carbamate ions, which run parallel to the c axis,
and hence provide little resistance to compression; -ammo-
nium carbamate is most compressible along c due to planar
layers of carbamate ions running in chains in the ab plane, with
ammonium tetrahedra forming the interlayer halfway between
these parallel chains. The a and b axes have lower but similar
compressibility due these to planar layers of carbamate ions. We report dispersion-corrected density functional theory
simulations of both - and -ammonium carbamate, the first
neutron powder diffraction study of -ammonium carbamate,
together with the first structure refinement at non-ambient
temperature, measured at 4.2 K. We also carried out the first
thermal expansion measurements of -ammonium carbamate
(from 4.2 to 180 K) and have shown how the magnitudes of the
axial expansivities are related to the crystal structure. We find
evidence for the unusual property of NLC in the a axis of
-ammonium carbamate above 5 GPa, with the largest degree
of negative expansivity occurring between 9 and 10.5 GPa. This work has provided important parameters to be incorpo-
rated into structural models of icy bodies in the Solar System. Further experiments at high pressure are needed to investi-
gate the calculated negative linear compressibility in -am-
monium carbamate and the possible phase transition between
the two known polymorphs. In terms of thermal expansion, the direction of greatest
thermal expansion is perpendicular to the corrugated sheets of
alternating
ammonium
tetrahedra
and
centrosymmetric
carbamate ionic dimers, whereas the minimum thermal
expansion is in the plane of these alternating sheets. The
intermediate value is parallel to stacks of centrosymmetric
carbamate ions running along c, connected by chains of
ammonium tetrahedra. The limited bonding between the
corrugated sheets running along the b axis provides little
resistance to expansion, with a three-dimensional bonding
network running in the planes of these sheets resisting
expansion (Fig. 15). Based upon the DFT calculations, we
would expect that -ammonium carbamate should have a
smaller thermal expansivity than -ammonium carbamate,
due to its lower compressibility. Acknowledgements The authors wish to thank the STFC for funding and the STFC
ISIS neutron spallation source for the provision of beam time
(RB1410134; doi: 10.5286/ISIS.E.55377240). CMH thanks
STFC for a postgraduate studentship. Open access funding
enabled and organized by Projekt DEAL. Funding information C. M. Howard et al.
Ab initio simulations of - and -ammonium carbamate
475 De Sanctis, M. C. et al. (2016). Nature, 536, 54–57. 5.2. Planetary modelling The work presented here provides some important values
for use in planetary modelling: the density as a function of
pressure has been calculated for both structures of ammonium
carbamate, accurate crystal structures of both phases of (
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Policy-Led Comparative Environmental Risk Assessment of Genetically Modified Crops: Testing for Increased Risk Rather Than Profiling Phenotypes Leads to Predictable and Transparent Decision-Making
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PERSPECTIVE
published: 10 April 2018
doi: 10.3389/fbioe.2018.00043 *Correspondence:
Alan Raybould
alan.raybould@syngenta.com Specialty section:
This article was submitted to
Biosafety and Biosecurity,
a section of the journal
Frontiers in Bioengineering and
Biotechnology Specialty section:
This article was submitted to
Biosafety and Biosecurity,
a section of the journal
Frontiers in Bioengineering and
Biotechnology Keywords: risk assessment, genetically modified crops, regulatory policy, problem formulation, profiling,
hypothesis testing Received: 30 January 2018
Accepted: 26 March 2018
Published: 10 April 2018 1 Syngenta Crop Protection AG, Basel, Switzerland, 2 Plant Health Science Services, Canadian Food Inspection Agency,
Ottawa, ON, Canada Edited by:
Randall Steven Murch,
Virginia Tech, United States We describe two contrasting methods of comparative environmental risk assessment
for genetically modified (GM) crops. Both are science-based, in the sense that they
use science to help make decisions, but they differ in the relationship between science
and policy. Policy-led comparative risk assessment begins by defining what would be
regarded as unacceptable changes when the use a particular GM crop replaces an
accepted use of another crop. Hypotheses that these changes will not occur are tested
using existing or new data, and corroboration or falsification of the hypotheses is used to
inform decision-making. Science-led comparative risk assessment, on the other hand,
tends to test null hypotheses of no difference between a GM crop and a comparator. The variables that are compared may have little or no relevance to any previously stated
policy objective and hence decision-making tends to be ad hoc in response to possibly
spurious statistical significance. We argue that policy-led comparative risk assessment
is the far more effective method. With this in mind, we caution that phenotypic profiling of
GM crops, particularly with omics methods, is potentially detrimental to risk assessment. Reviewed by:
Jacqueline Fletcher,
Oklahoma State University,
United States
Laura Adam,
Ebiosec, Inc., United States
Stephen Allen Morse,
Centers for Disease Control and
Prevention (CDC), United States Reviewed by:
Jacqueline Fletcher,
Oklahoma State University,
United States
Laura Adam,
Ebiosec, Inc., United States
Stephen Allen Morse,
Centers for Disease Control and
Prevention (CDC), United States Defining Risk and Opportunity Risk may be expressed as a combination of the likelihood and
severity of harm that may arise from hazardous properties of
a proposed activity. Environmental risk assessors often think
of risk in terms of the potential exposure to the hazard that
can cause a harm, where potential exposure is the expression of
likelihood. Seriousness of harm is related to the degree of hazard,
but also contains subjective elements (see below). Risk is usually
difficult to quantify precisely, and most risk assessments rely on
qualitative assessments and expert judgment. If severe harm is
likely, risk is high; and if the most serious conceivable effect
is trivial and unlikely, then risk may be regarded as negligible. However, even a tiny probability of a harmful effect may be
regarded as high risk if the harmful effect is serious. A severe
decline in the population size of an endangered or iconic species
might be one such effect. Risk may also be regarded as non-
negligible if low severity events are predicted to occur frequently
(e.g., Slovic, 1999). Determining whether an activity poses acceptable risk requires
several difficult judgments. First, one must decide what would
be regarded as harmful effects of the activity and what would be
regarded as beneficial effects. In addition, one must decide how to
judge the severity of harm and the value of benefits. While science
may be used to limit the scope of discussions of harm and benefit
to plausible effects of the proposed activity (Raybould, 2010a), the
designation of an effect as harmful, beneficial or neither, and the
severity and value ascribed respectively to harmful and beneficial
effects of a particular size relies on non-scientific criteria. These
criteria may be based on personal values, an organization’s
objectives or public policy depending on who will make the
decision. For brevity, hereafter we refer to these non-scientific
criteria as “policy objectives.” Similar considerations apply to the opportunities that may
arise from an activity. Opportunity is high if very valuable
benefits are likely to arise, such as shifts to more sustainable
agricultural practices as have been seen in Canada with the
widespread adoption of GM herbicide-tolerant (GMHT) canola
varieties. Defining Risk and Opportunity Use of tillage by growers prior to seeding for weed
control for canola appears to have been eliminated and the
significant shift to minimum and zero tillage systems has
reduced soil erosion, resulted in higher carbon sequestration in
production areas, reduced the need for herbicide applications
and created net economic benefits for growers (Gusta et al.,
2011; Smythe et al., 2011). Opportunity is negligible if the most
valuable benefit is unlikely and of low value, such as cultivation
of a GM drought tolerant crop in an area where precipitation is
almost never yield limiting. Opportunity may still be regarded
as high if beneficial effects are unlikely, but would be hugely
valuable if they arose. The reduction of a non-target effect to
a highly beneficial or iconic insect species that may only rarely
co-occur with crop production could be considered as highly
beneficial. This may occur if cultivation of the GM crop reduces
the spraying of pesticides, either directly through endogenous
insect protection or indirectly by carrying a disease tolerance
that reduces the need to spray for an insect vector of the disease. Significant opportunity may also accrue from frequent events of
relatively low value. The second difficult judgment is how one will weigh risk and
opportunity. One must consider whether certain effects should be
unacceptable regardless of the size of the opportunity or whether
the largest net opportunity will always be the preferred option. In
addition, one will need a method for evaluating net opportunity
when benefits and harms may be very different; how, for example,
does one evaluate the net opportunity if growing a certain crop is
expected to increase yield but reduce other ecosystem services (de
Groot et al., 2010). The above considerations show the importance of setting clear
policy objectives in order to ensure that the scientific parts of
risk assessment answer questions that are useful for decision-
makers rather than questions that scientists may find interesting
(Hill and Sendashonga, 2003; Evans et al., 2006). In practice,
even with policy direction, such as a policy objective on the
conservation of biodiversity, risk assessors rely on professional
judgment when they weigh evidence in what is often a qualitative
process and make a number of “micro policy judgments”
while conducting the assessment. Citation: It follows that even severe risks may be acceptable provided the
opportunities are high enough, and that an increase in risk many
be acceptable provided it is outweighed by increased opportunity. In practice, determining the acceptability of risk for the
cultivation of a GM crop is made difficult by the need to balance
complicated sector needs with a broader public good. The 1993
Canadian Regulatory Framework for Biotechnology (Industry
Canada, 1998; Gabler, 2008), for example, attempts to articulate
guiding principles for how decisions could be structured. The
framework captures the idea that any regulatory decisions should
enable innovation, but also protect the environment and the
health and well-being of citizens. Governments often have
competing internal interests where departments of environment
may view the opportunities for cultivating GM crops differently
from Departments of Agriculture who see the acceptable risks
and benefits of agriculture with a more commercial perspective. Citation: Raybould A and Macdonald P (2018)
Policy-Led Comparative
Environmental Risk Assessment of
Genetically Modified Crops: Testing for
Increased Risk Rather Than Profiling
Phenotypes Leads to Predictable and
Transparent Decision-Making. Front. Bioeng. Biotechnol. 6:43. doi: 10.3389/fbioe.2018.00043 Regulatory risk-management of GM crops often uses comparative risk assessment to inform
decision-making. Decisions may include whether to allow cultivation or importation of a particular
crop in the relevant jurisdiction, and whether any conditions need to be placed on those uses if they
are permitted. Comparative risk assessment contextualizes the risk by comparing the risks posed by
the cultivation of the GM crop with the risks posed by the cultivation of the non-GM counterpart. If the risk assessment indicates that cultivating a GM crop poses no greater environmental risk
than cultivating the non-GM counterpart, then it might be thought that cultivating the GM crop April 2018 | Volume 6 | Article 43 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org Policy-Led ERA for GM Crops Raybould and Macdonald decision-making, the course of action posing the highest net
opportunity—the opportunity minus the risk—must be selected. It follows that even severe risks may be acceptable provided the
opportunities are high enough, and that an increase in risk many
be acceptable provided it is outweighed by increased opportunity. In practice, determining the acceptability of risk for the
cultivation of a GM crop is made difficult by the need to balance
complicated sector needs with a broader public good. The 1993
Canadian Regulatory Framework for Biotechnology (Industry
Canada, 1998; Gabler, 2008), for example, attempts to articulate
guiding principles for how decisions could be structured. The
framework captures the idea that any regulatory decisions should
enable innovation, but also protect the environment and the
health and well-being of citizens. Governments often have
competing internal interests where departments of environment
may view the opportunities for cultivating GM crops differently
from Departments of Agriculture who see the acceptable risks
and benefits of agriculture with a more commercial perspective. poses no unacceptable risk. However, judging the acceptability
of a risk goes beyond the scientific comparison of relative risks. In order to make this point, we discuss definitions of risk,
opportunity and acceptability. We concentrate on environmental
risk assessment and GM crops, but our discussion is pertinent to
risk assessment and decision-making more generally. decision-making, the course of action posing the highest net
opportunity—the opportunity minus the risk—must be selected. Defining Risk and Opportunity Indeed, the promotion of
“science-based risk assessment” (= science-led in our terms)
(e.g., Andow and Hilbeck, 2004; Kuntz et al., 2013) could
lead to the mistaken and pernicious idea that it is desirable
to eliminate consideration of policy objectives and judgment
from risk assessment. Such thinking is almost guaranteed
to produce controversy and paralyze decision-making (e.g., Risk Hypotheses and Decision-Making
Criteria At their most conservative, the risk hypotheses will be
that no harmful effect will result from the proposed activity. If these hypotheses are corroborated under rigorous testing
using information from reputable sources, including data from
laboratory or field tests, the risk managers can be confident
that the proposed activity poses negligible risk, and then use
that conclusion in their decision-making. Less conservative risk
hypotheses acknowledge the probability and contextualize the
impact of any harmful effect; that is, the hypotheses under test
would be that the risk does not exceed a threshold of acceptability. The threshold may be set to be the same as the risk posed
by similar activities, or higher risk could be tolerated if the
activity provides greater opportunities; for example, greater risk
might be acceptable for cultivation of a GM crop that provides
higher yield or improved quality than the crops it will replace. Rigorous corroboration of the hypotheses would indicate that the
risks could be placed in the context of those from comparable
activities, such as the cultivation of a non–GM crop that has a
similar trait, even though the risks may not be negligible. That
conclusion would contribute to decision-making. In essence, regulatory risk assessments should test hypotheses
that help risk managers to make good decisions about whether to
permit particular activities. Problem formulation is the process FIGURE 1 | Conceptual models of science-led and policy-led risk assessment. Judging the Acceptability of Risk g
g
p
y
Judging the acceptability of risk requires a method to weigh the
opportunities against the risks of the activity under consideration
(Sanvido et al., 2012). Under ethical decision-making, if a risk
exceeds an acceptability threshold, then the risk is unacceptable
regardless of the size of the opportunity. Under utilitarian April 2018 | Volume 6 | Article 43 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 2 Policy-Led ERA for GM Crops Raybould and Macdonald Raybould, 2010b). Instead, “policy-led risk assessment” ought to
be the aim (Figure 1). by which these risk hypotheses, and plans to test them, are
devised. While we concentrate on environmental risk posed by
the cultivation of GM crops, our comments are relevant to any
regulatory decision-making that makes use of risk assessment. In this article, we explore the implications of a change of
emphasis from science to policy on two aspects of comparative
environmental risk assessment of GM crops that are of current
interest: problem formulation and the use of profiling data from
various omics techniques. While we focus on regulatory decision-
making about GM crops, our remarks are relevant to all crops
with novel phenotypes, however they are produced, and to other
types of decision-making, such as choosing which products to
develop (Macdonald, 2014). In regulatory environmental risk assessment, decision-
making criteria should relate to the probability and severity
of environmentally harmful effects arising from the proposed
activity covered by the regulations. In the case of GM crops,
the proposed activity will be cultivation of a specified GM crop
in a particular place, perhaps with other stipulations such as
whether certain crop-protection chemicals will be applied to the
crop. The definition of what is harmful is a matter for the risk
managers based on their interpretation of the policy objectives of
the legislation that the regulations are designed to implement. Placing Risks in Context of Current
Practice Similarly, a hypothesis that growing a certain
GM crop will poses no unacceptable risk, is really a hypothesis
that any increase in risk caused by growing the GM crop will be
acceptable, either because the increase falls below a threshold of
acceptability or because the additional opportunities created by
growing the crop are worth the risk. As “no additional harm”
sets a higher standard than “no unacceptable increase in risk,”
testing a hypothesis of no additional harm may be regarded as
rigorous testing of a hypothesis of no unacceptable increase in
risk provided other factors that determine acceptability of risk,
such as the size of the opportunity, are unchanged. A hypothesis that growing a GM crop will cause no
unacceptable increase in risk is useful in a least three respects. First, corroboration or falsification of this hypothesis is valuable
to risk managers. Second, it shows that GM regulation
follows the Principles of Regulation by not treating GM crops
differently from other agricultural practices. Finally, it is useful
to risk assessors, because if “unacceptable risk” is sufficiently
operationalized, risk assessors have clarity about the data they
need in order to conduct the risk assessment, namely data that
test the hypothesis of no unacceptable risk. Policy-led risk assessment would approach the problem
by defining, at the very least, general trends that would be
regarded as harmful changes in the weed flora; harmful meaning
detrimental to achieving policy objectives. One might define
harm of cultivating the GMHT canola as an increase in the
abundance of specific species of economically damaging weeds,
or a decrease in abundance of specific species that may have
aesthetic or nature-conservation value, compared with their
abundance under conventional management (e.g., Pimentel et al.,
2001). Another option would be the incorporation of some
decision-making criteria into the definitions; thus, one might
define the threshold of unacceptable harm as a 50% increase in
the abundance of noxious weed X or as a 25% decrease in the
abundance of endangered species Y. Consider a proposal to cultivate a new variety of GMHT
canola that is likely to replace long-standing cultivation of a
non-GM (“conventional”) canola. Also, suppose that the effects
of recommended herbicide applications to the GMHT canola
fall under regulations covering GM crops and the effects of
recommended herbicide application to the conventional canola
are covered by pesticide regulations. Placing Risks in Context of Current
Practice In theory, regulations could specify that certain effects are
harmful if they are caused by the cultivation of GM crops but
are not harmful if caused by other activities. However, such
definitions of harm would violate accepted standards of good
regulatory practice. The OECD (2014) describes eight Principles
of Regulation, and defining effects as harmful only if they are
caused by GM crops would violate at least three of them: Principle
2 that regulations must have a sound legal and empirical basis;
Principle 4 that regulations must minimize market distortions;
and Principle 7 that regulations should be consistent with other
regulations and policies. Hence, definitions of acceptable risk for
GM crops should consider what is regarded as acceptable for
other agricultural practices. Many publications have concluded that conceivable harmful
environmental effects from cultivating GM crops are of the same
type as those from growing non-GM crops (e.g., Tiedje et al.,
1989; NRC, 2002; Perry et al., 2004; Lemaux, 2009). Hence, a
hypothesis that growing a certain GM crop will cause no harm,
is really a hypothesis that growing the GM crop will cause no FIGURE 1 | Conceptual models of science-led and policy-led risk assessment. April 2018 | Volume 6 | Article 43 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 3 Policy-Led ERA for GM Crops Raybould and Macdonald imaginations of the researchers in devising ways to categorize
difference. However, few or even none of these differences may
have any relevance to regulatory policy objectives. Consequently,
cataloging differences is at best an inefficient way to conduct risk
assessment, because effort is wasted on measurements of no value
for decision-making. At worst it is ineffective and potentially
counterproductive because decisions are made ad hoc in response
to statistical significance, which can easily be spurious when
many variables are measured (Benjamini and Hochberg, 1995;
Leek et al., 2017), rather than after serious consideration of what
the objectives of agricultural and environmental policies ought
to be. We could call this behavior PARKing—Policymaking After
the Results are Known—based on Kerr’s (1998) term HARKing
for Hypothesizing After the Results are Known. greater harm than the current practice that cultivation of the GM
crop may replace. Placing Risks in Context of Current
Practice A possible effect of switching
from conventional canola to the GMHT canola is a change in the
abundance and species diversity of weeds owing to variation in
their sensitivity to the different herbicides used on these crops
(e.g., Perry et al., 2004; Wilson et al., 2007). In assessing the
risks posed by cultivating the GMHT canola, the Principles of
Regulation suggest that it would be unreasonable to compare the
weed flora in the GMHT canola regime with the weed flora if
no herbicides were used; the comparison ought to be with the
conventional herbicide management. Prior definition of decision-making criteria means that
experiments can be designed to rigorously test risk hypotheses. One could envisage, for example, testing a hypothesis that the
abundance of noxious weed X will not increase by more than
50% by testing a hypothesis that it is at least as sensitive to
the herbicide that will be applied to the GMHT canola as it
is to the herbicides applied to conventional canola. Such a
targeted test of a policy-relevant hypothesis would be entail vastly
more efficient and effective parameters for data collection than
would untargeted comparisons of the weed floras of GMHT and
conventional canola. With best practices, risk assessors will contextualize the risks
for cultivating the GMHT canola and compare that with the
harm from the cultivation of conventional canola. In the risk
assessment, the risk assessor will consider that cultivation of a
monoculture and the management of a crop in an agricultural
production system reduces biodiversity and has an impact on
the environment. The crop plant itself has a suite of traits that
result in the production of compounds that create environmental
effects and influence ecosystem services. In the comparative risk
assessment, the risk assessor will evaluate the relative impacts
of the two phenotypes and evaluate whether the addition of the
new trait creates harms that exceed those already imposed by the
cultivation of the existing crop. In this scenario, the evaluation
does not insist the results of growing the two crops be identical,
only that the probability or severity of a harm is not increased. Frontiers in Bioengineering and Biotechnology | www.frontiersin.org April 2018 | Volume 6 | Article 43 Assessing Risks Rather Than Measuring
Differences Identifying a fair comparator is only a partial solution to the
problem of formulating a useful risk hypothesis. Countless
changes in the weed flora are theoretically possible when
switching from conventional to GMHT weed management. Science-led risk assessment (Figure 1) might approach this
problem by setting up multiple field trials at many sites over
many years to measure the change in the weed flora when GMHT
replaces conventional management; in effect, the hypothesis
under test would be one of no difference between the weed floras
of conventional and GMHT canola. Comparing
weed
diversity
and
abundance
between
conventional and GMHT canola will almost inevitably reveal
numerous statistically significant differences (e.g., Heard et al.,
2003a,b), with the number limited only by the size of the
experiments, the sensitivity of the measuring techniques and the Policy-led risk assessment can target risk management to
make interventions in order to realize benefits and reduce harms. In testing the risk hypothesis that the endangered species Y will April 2018 | Volume 6 | Article 43 April 2018 | Volume 6 | Article 43 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 4 Policy-Led ERA for GM Crops Raybould and Macdonald not decrease by more than 25%, testing may reveal that the
species is more sensitive to the GMHT herbicide than to the
conventional canola herbicide. This finding could trigger a search
for changes to management techniques that ensure weeds are
still adequately controlled while minimizing exposure of species
Y to the herbicide, perhaps by altering the proposed timing,
rate or method of its application (e.g., Thompson et al., 1991). In contrast, unfocussed risk assessment may reveal potential
changes in the abundance of numerous species without any
attempt to contextualize the risk. Faced with such a finding,
risk managers may simply refuse to approve the GMHT canola
(Sanvido et al., 2011), thereby foregoing opportunities and not
necessarily reducing risk—although they may have reduced the
probability of change. damage, and attributes of grain or fiber quality depending on the
crop (Horak et al., 2007). The aim of these studies is to identify
differences between the GM crop and its comparator that need
further evaluation in order to characterize risk to human and
animal health and to the environment from using the GM crop
(Kuiper et al., 2001; Nap et al., 2003). Assessing Risks Rather Than Measuring
Differences Although not routinely required for regulatory testing,
profiling of GM crops can also be carried out at the molecular
level,
using
transcriptomics,
proteomics
or
metabolomics
(Kuiper et al., 2003). The value of these methods, along with
characterization of the epigenome, for crop improvement has
recently been discussed by the National Academies of Sciences,
Engineering and Medicine (NAS, 2016). Our purpose here is not
to evaluate the technical feasibility of molecular profiling, but to
discuss whether profiling approaches generally are valuable in
risk assessment of GM crops. In summary, problem formulation for comparative risk
assessment of GM crops should consider two important
elements. First, the comparison should be consistent with the
Principles of Regulation. The effects of using the GM crop should
be compared with agricultural practices that these uses will
replace. Second, the selection of the hypotheses to be tested in
the risk assessment should always be policy-led and informed
by science. Policy-led risk assessment will guide risk assessors to
develop hypotheses of known relevance to the final regulatory
decision and suggest experiments that are required to improve
decision-making rather than satisfying scientific curiosity. The
combination of hypotheses based on prior agreement of decision-
making criteria and rigorous testing maximizes the chances
that risk managers will make decisions that fulfill agricultural
and environmental policy objectives. Risk communication will
also be improved. Science-led risk assessment, on the other
hand, leads to PARKing: ad hoc decision-making based on
whatever differences happen to reach statistical significance in
comparisons of many variables. These decisions are unlikely
to meet wider policy objectives. They are also likely to create
controversy because decisions appear to be fixed by selecting
particular data rather than after a debate about what the
objectives of policy ought to be (e.g., Sarewitz, 2004). A claimed advantage of profiling methods is that they are
unbiased (Kuiper et al., 2003). They make no assumptions about
how the GM crop might differ from its non-GM counterpart. In addition, unbiased approaches make no judgment about
what differences might be important in indicating that using
the GM crop may pose greater risk than similar uses of
the comparator. Hence, profiling approaches are science-led
evaluations of potential differences with all the problems that
entails (Figure 1). In the early days of GM crop development, there was
significant uncertainty about the extent to which transformation
of
plants
could
lead
to
unintended
changes. PROFILING IN RISK ASSESSMENT In the example above, we proposed that rigorous testing of
targeted hypotheses is a more efficient and effective approach to
risk assessment than are untargeted tests of null hypotheses of no
difference between a GM and a non-GM cropping system. The
latter approach makes use of profiling—the characterization of a
system by describing a combination of many of its attributes. It is important to recognize that comparing nutrients is policy-
led risk assessment because protecting human and animal health
is a policy objective. To keep the risk assessment policy-led,
however, it is important that the substances tested really are
determinates of health. If the most extreme conceivable change
in the amount of a substance would have no material effect on
health, then that substance should be of no concern for policy-
led risk assessment, and comparing its concentration in the GM
and non-GM crop should not be necessary to determine risk. Assessing Risks Rather Than Measuring
Differences Hence,
compositional and phenotypic profiling of GM crops made
sense as methods to explore the extent of these changes: testing
the hypothesis that transformation introduces no unintended
changes was a useful tool for basic research into the effects of
transgenesis and also for risk assessors struggling to characterize
products of new technology. In retrospect, however, there was always a need to ensure
that these studies were placed in context when used to inform
the risk assessment. In practice, this has generally been the
case when a GM crop and its non-modified counterpart are
compared. For example, as changes in the nutritional value
of a crop could be harmful to human and animal health, the
risk assessor determines whether the amounts of key nutritional
components are statistically different between the GM and
non-GM comparator. If statistically significant differences are
identified, the assessor will ask whether the amounts in the GM
crop fall into the normal range for that crop. If they do, the
differences will generally be disregarded. April 2018 | Volume 6 | Article 43 Profiling Using Omics Methods The introduction of molecular profiling methods into regulatory
risk assessments would only increase the pervasiveness of
unfocussed data generation rather than policy-led attitudes to
risk assessment. Additional data generation will often pose
questions for which there are no ready answers leading to a
continuing need to produce yet more data. The ability to find
differences between a GM crop and its non-GM comparator is
virtually limitless, creating endless opportunities for PARKing. Advocates of molecular profiling may argue that the methods
could show that variation between GM and non-GM plants as
a class is insignificant compared with variation among non-
GM plants. However, this misses the point. The purpose of
regulatory risk assessment is not to make general points about
a technology or class of products, it is to evaluate whether the
risks posed by a specific use of a specific product are acceptable. Acceptability of risk is ultimately a policy decision, and anything
that promotes policymaking as an ad hoc response to possibly
spurious statistically significant differences, rather than careful
deliberation about delivering agreed societal objectives, should be
discouraged. However, while lack of bias in testing a hypothesis is a
virtue in risk assessment, as in all basic and applied science,
lack of bias in selecting the hypotheses to be tested is a grave
weakness: we should be strongly biased toward hypotheses
that help decision-making and realization of policy objectives. Without this bias, policy may be formulated in response to trivial
differences, perhaps influenced by ill-informed indignation that
a GM crop, unsurprisingly, differs from a non-GM comparator
in some respect. It is this very lack of bias that we believe makes
science-led risk assessment vastly less effective than the policy-led
alternative. In
advocating
policy-led
risk
assessment,
we
do
not
underestimate the difficulties agreeing on policy objectives. Disagreement about what comprise beneficial or harmful effects
of using certain GM crops is rife, even within organizations
that develop and regulate them. However, sooner or later policy
objectives have to be set in order to make decision-making
feasible and hence risk assessment efficient and effective. While
defining these objectives may be controversial, such controversy
is likely to be less than that produced by making policy ad hoc in
response to possibly spurious statistically significant differences
identified by untargeted profiling methods. Ultimately, decision-
makers have to decide based on their individual or organizational
policy objectives. AUTHOR CONTRIBUTIONS Comparative risk assessment is a valuable method for making
risk assessment tractable, provided that it is policy-led rather
than science-led. Ideally, policy-led comparative risk assessment
for a GM crop would define effects that comprise unacceptable All authors listed have made a substantial, direct and intellectual
contribution to the work, and approved it for publication. Profiling Using Omics Methods This responsibility cannot be outsourced to
statistical algorithms processing vast amounts of profiling
data. Finally, our point is not that omics methods can never have
value in regulatory risk assessment. If measurements of specific
transcripts, proteins or metabolites are a good test of a hypothesis
that a given use of a given GM crop does not pose an unacceptable
increase in risk, then the measurements may have value for
regulatory decision-making. However, using the methods simply
to create profiles will be a serious impediment to moving from
science-led to policy-led risk assessment and decision-making. Historic and Current Use of Profiling in
Risk Assessment Profiling of GM crops is used widely in risk assessment. Compositional analysis typically tests for statistically significant
differences between the GM crop and a near-isogenic comparator
variety in the amounts of 60–80 nutrients and anti-nutrients
(Herman
and
Price,
2013). Phenotypic
characterization
compares 30 or more aspects of germination, plant growth
and development, morphology, reproduction, disease and pest Without prior definitions of important changes, science-led
profiling can encourage the idea that producing more data April 2018 | Volume 6 | Article 43 April 2018 | Volume 6 | Article 43 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 5 Raybould and Macdonald Policy-Led ERA for GM Crops increases in risk from its use. The comparison would be with the
acceptable effects of a similar crop in a similar agricultural system
that is likely to be replaced by use of the GM crop. inevitably leads to better risk assessment. Statistically non-
significant comparisons of thousands of substances may appear
to be a more convincing demonstration of negligible risk than
is the lack of difference in a few key nutrients. However, unless
it is possible to specify values of particular variables that would
show a policy-led risk hypothesis to be false, the data are
of no relevance for drawing conclusions about risk. Finally,
profiling may also understate the importance of policy in risk
assessment and decision-making. It seems to promote the idea
that if sufficient data are collected, uncertainty will be diminished
and the “correct” policy toward the use of GMOs will become
obvious. Defining an unacceptable increase in risk enables the
formulation of testable hypotheses for risk assessment. At their
most conservative, the hypotheses will be that certain effects are
no more likely to occur, and if they do occur, are no more severe
than those caused by use of the crop that will be replaced. Only
data that test such hypotheses, that is, are able to show them to be
false, are useful for such policy-led risk assessment. The alternative method of comparative risk assessment
dispenses with policy objectives and makes numerous tests of the
null hypothesis that the GM crop does not differ from the crop
that it will replace. Such “science-led” risk assessment makes no
judgment about the importance of the variables being measured. Proponents of this method of risk assessment see this unbiased
nature of the risk assessment as a strength (e.g., Kuiper et al.,
2003). de Groot, R. S., Alkemade, R., Braat, L., Hein, L., and Willemen, L. (2010).
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3568(2004)054[0637:SRAFNE]2.0.CO;2 Benjamini, Y., and Hochberg, Y. (1995). Controlling the false discovery rate:
a practical and powerful approach to multiple testing. J. R. Stat. Soc. B 57,
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science: a Canadian perspective. J. Verbraucher Lebensmittelsicherheit 9(Suppl. 1), S59–S64. doi: 10.1007/s00003-014-0893-9 Copyright © 2018 Raybould and Macdonald. 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 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. Nap, J. P., Metz, P. L., Escaler, M., and Conner, A. J. (2003). The
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Towards connected autonomous driving: review of use-cases
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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility ISSN: 0042-3114 (Print) 1744-5159 (Online) Journal homepage: http://www.tandfonline.com/loi/nvsd20 KEYWORDS Connected autonomous
vehicles; cooperative driving;
use-case analysis Towards connected autonomous driving: review of use-cases Umberto Montanaro
a, Shilp Dixit
a, Saber Fallaha, Mehrdad Dianatib,
Alan Stevensc, David Oxtobyd and Alexandros Mouzakitisd aCentre for Automotive Engineering, University of Surrey, Guildford, UK; bWarwick Manufacturing Group,
University of Warwick, Coventry, UK; cTransport Research Laboratory, Wokingham, UK; dJaguar Land Rover
Limited, Coventry, UK Umberto Montanaro, Shilp Dixit, Saber Fallah, Mehrdad Dianati, Alan
Stevens, David Oxtoby & Alexandros Mouzakitis Umberto Montanaro, Shilp Dixit, Saber Fallah, Mehrdad Dianati, Alan
Stevens, David Oxtoby & Alexandros Mouzakitis To cite this article: Umberto Montanaro, Shilp Dixit, Saber Fallah, Mehrdad Dianati, Alan Stevens,
David Oxtoby & Alexandros Mouzakitis (2018): Towards connected autonomous driving: review of
use-cases, Vehicle System Dynamics, DOI: 10.1080/00423114.2018.1492142 Published online: 09 Jul 2018. Submit your article to this journal
View Crossmark data VEHICLE SYSTEM DYNAMICS
https://doi.org/10.1080/00423114.2018.1492142 ABSTRACT ARTICLE HISTORY
Received 7 November 2017
Revised 22 May 2018
Accepted 1 June 2018 Connected autonomous vehicles are considered as mitigators
of issues such as traffic congestion, road safety, inefficient fuel
consumption and pollutant emissions that current road trans-
portation system suffers from. Connected autonomous vehicles
utilise communication systems to enhance the performance of
autonomous vehicles and consequently improve transportation by
enabling cooperative functionalities, namely, cooperative sensing
and cooperative manoeuvring. The former refers to the ability to
share and fuse information gathered from vehicle sensors and road
infrastructures to create a better understanding of the surrounding
environment while the latter enables groups of vehicles to drive in
a co-ordinated way which ultimately results in a safer and more effi-
cient driving environment. However, there is a gap in understanding
howandtowhat extent connectivity can contribute to improving the
efficiency, safety and performance of autonomous vehicles. There-
fore, the aim of this paper is to investigate the potential benefits
that can be achieved from connected autonomous vehicles through
analysing five use-cases: (i) vehicle platooning, (ii) lane changing,
(iii) intersection management, (iv) energy management and (v) road
friction estimation. The current paper highlights that although con-
nectivity can enhance the performance of autonomous vehicles and
contribute to the improvement of current transportation system per-
formance, the level of achievable benefits depends on factors such
as the penetration rate of connected vehicles, traffic scenarios and
the way of augmenting off-board information into vehicle control
systems. 1. Introduction Road safety, ineffective use of the roadway infrastructure, inefficient fuel consumption and
pollutant emissions are the main challenges associated with the current transportation sys-
tem [1]. In terms of road safety, it is noted that about 92% of the road crashes are mainly
caused by human recognition errors (e.g. drivers inattention, drivers distractions and inad-
equate surveillance) and human decision errors (e.g. driving too fast, false assumption
of others actions and misjudgement of gap or others speed) [2,3]. Also, it is remarked CONTACT Saber Fallah
s.fallah@surrey.ac.uk
© 2018 Informa UK Limited, trading as Taylor & Francis Group CONTACT Saber Fallah
s.fallah@surrey.ac.uk
© 2018 Informa UK Limited, trading as Taylor & Francis Group 2 U. MONTANARO ET AL. 2 2 that erroneous drivers decisions are not only responsible for road fatalities but also for
the underuse of road infrastructure and excessive fuel consumption. For instance, it was
shown in [4] that erroneous driving styles which include excessive acceleration/braking
and engine idling have a notable negative impact on fuel consumption (e.g. an increase
of about 3–5 L per 100 km) and emission pollutions. Also, it has been noted that current
road infrastructures are not operated at their maximum capacity by human-driven vehi-
cles and only 11% of the road lane length of highways are occupied by vehicles while the
remaining 89% represents the gaps that the drivers need to maintain behind other vehi-
cles in order to feel safe while driving at high speed [1]. Connected Autonomous Vehicles
(CAVs) which benefit from the autonomous vehicle and connected vehicle technologies
are considered as a potential mitigator of current transportation system challenges. It is
noted that an autonomous vehicle is able to perceive its environment, and use control sys-
tems to autonomously plan vehicle motion and decide vehicle manipulation commands. Autonomous vehicles can improve road safety through precise control of the position and
velocity (e.g. tight control of inter-vehicular distances) and smaller reaction time compared
with human-driven vehicles [1]. Furthermore, they can operate the engine and vehicle
powertrain in regions with high efficiency resulting in a reduction of fuel consumption and
pollutant emissions. However, the performance of non-connected autonomous vehicles in
different manoeuvring scenarios and traffic conditions are restricted due to the limitation
of on-board sensing systems (e.g. direct line of sight, sensor accuracy in the wide range of
environment conditions, sensor operation range, etc.). 1. Introduction On the other hand, connected vehi-
cles refer to those vehicles which are capable of exchanging information with other vehicles
or roadside infrastructures by using wireless communication technologies [5]. Vehicle-to-
Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication technologies enable
vehicles to access external information that cannot be directly obtained through on-board
vehicle sensing systems (e.g. the position of vehicles beyond the line of sight, traffic data
ahead and roadway conditions). This external information can be fused with on-board
observation to create a better perception of the surrounding environment. It is reported
in [6,7] that equipping autonomous vehicles with communication systems significantly
enhance their performance and consequently the efficiency of transportation systems. Also, it enables cooperative manoeuvring which is the ability to jointly plan trajectories
and decisions so that a common goal for the fleet, e.g. minimisation of fuel consumption
while preserving safety, can be achieved [8]. It is noted that cooperative manoeuvring is
not possible neither with the sole use of connected vehicles nor with autonomous vehi-
cles but it is a feature that emerges when connectivity is added to autonomous vehicles. The potential of a Vehicle-to-Everything (V2X) platform in expanding the capabilities of
autonomous vehicles was also initially investigated through European research projects
such as Cybercars-2 [9], SARTRE [10] and AutoNet2030 [11], just to name a few. The
project Cybercars-2 (2006–2009) focused on the design, development, prototyping and
on-road testing of cooperative driving manoeuvers, such as overtaking and crossing inter-
sections not operated by traffic lights [9]. The results showed that in a cooperative driving
i
f
b
d
hil
f
i
i ll h
d that erroneous drivers decisions are not only responsible for road fatalities but also for
the underuse of road infrastructure and excessive fuel consumption. For instance, it was
shown in [4] that erroneous driving styles which include excessive acceleration/braking
and engine idling have a notable negative impact on fuel consumption (e.g. an increase
of about 3–5 L per 100 km) and emission pollutions. Also, it has been noted that current
road infrastructures are not operated at their maximum capacity by human-driven vehi-
cles and only 11% of the road lane length of highways are occupied by vehicles while the
remaining 89% represents the gaps that the drivers need to maintain behind other vehi-
cles in order to feel safe while driving at high speed [1]. 1. Introduction Connected Autonomous Vehicles
(CAVs) which benefit from the autonomous vehicle and connected vehicle technologies
are considered as a potential mitigator of current transportation system challenges. It is
noted that an autonomous vehicle is able to perceive its environment, and use control sys-
tems to autonomously plan vehicle motion and decide vehicle manipulation commands. Autonomous vehicles can improve road safety through precise control of the position and
velocity (e.g. tight control of inter-vehicular distances) and smaller reaction time compared
with human-driven vehicles [1]. Furthermore, they can operate the engine and vehicle
powertrain in regions with high efficiency resulting in a reduction of fuel consumption and
pollutant emissions. However, the performance of non-connected autonomous vehicles in
different manoeuvring scenarios and traffic conditions are restricted due to the limitation
of on-board sensing systems (e.g. direct line of sight, sensor accuracy in the wide range of
environment conditions, sensor operation range, etc.). On the other hand, connected vehi-
cles refer to those vehicles which are capable of exchanging information with other vehicles
or roadside infrastructures by using wireless communication technologies [5]. Vehicle-to-
Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication technologies enable
vehicles to access external information that cannot be directly obtained through on-board
vehicle sensing systems (e.g. the position of vehicles beyond the line of sight, traffic data
ahead and roadway conditions). This external information can be fused with on-board
observation to create a better perception of the surrounding environment. It is reported
in [6,7] that equipping autonomous vehicles with communication systems significantly
enhance their performance and consequently the efficiency of transportation systems. Also, it enables cooperative manoeuvring which is the ability to jointly plan trajectories
and decisions so that a common goal for the fleet, e.g. minimisation of fuel consumption
while preserving safety, can be achieved [8]. It is noted that cooperative manoeuvring is
not possible neither with the sole use of connected vehicles nor with autonomous vehi-
cles but it is a feature that emerges when connectivity is added to autonomous vehicles. The potential of a Vehicle-to-Everything (V2X) platform in expanding the capabilities of
autonomous vehicles was also initially investigated through European research projects
such as Cybercars-2 [9], SARTRE [10] and AutoNet2030 [11], just to name a few. The
project Cybercars-2 (2006–2009) focused on the design, development, prototyping and
on-road testing of cooperative driving manoeuvers, such as overtaking and crossing inter-
sections not operated by traffic lights [9]. 1. Introduction The results showed that in a cooperative driving
environment, safety can be guaranteed while performing potentially hazardous manoeu-
vres such as overtaking a stationary obstacle in a single carriageway. The SARTRE project
(2009–2012) focused on developing strategies to operate vehicle platoons on normal pub-
lic highways with the aim to improve fuel efficiency, safety and reduce congestion. Results
from the project showed that fuel savings (potentially up to 20%) can be achieved as a VEHICLE SYSTEM DYNAMICS 3 result of cooperative platooning. The AutoNet2030 (2013–2016) project studied how con-
nected autonomous vehicles can negotiate manoeuvers and interact with manually driven
vehicles in a safe and reliable way by two demonstrations [11], i.e. (i) vehicle platooning in
mixed traffic and (ii) vehicle cooperation in low speed driving scenarios (i.e. car following,
merging, lane changing and intersections). Currently, there are research projects in the UK
which aim to further investigate the use of V2X for autonomous vehicles. For instance, the
target of the project UKCITE ( 2016–2018) is to create an environment for real-time test-
ing of connected autonomous vehicles [12]. It involves equipping over 40 miles of urban
roads, dual-carriageways and motorways within Coventry and Warwickshire with V2X
technologies. The i-MOTORS project (2016–2018) is devoted to developing a vehicular
cloud computing platform that fuses data from vehicles with information from the road
environment to create dynamic maps and real-time alerts of possible roadway hazards [13]. Expected benefits from the i-MOTORS project are twofold, (i) reduction in fuel consump-
tion and travel time by considering real-time traffic data for active route planning, and
(ii) improvement in road safety via car platooning. The G-ACTIVE project (2016–2019)
targets a reduction of fuel consumption for passenger and light duty road vehicles for a
range of drivetrain architectures (conventional, electric and hybrid electric) by leveraging
off-board data including traffic condition and timing of traffic lights [14]. This off-board
information will be used to simultaneously optimise drivetrain energy and vehicle driving
speed. The aim of the CARMA project (2016–2021) is to develop and test a cooperative
automated driving technology based on a distributed control system enabled by an ultra-
low latency and highly reliable cloud-based infrastructure [15]. Although there are several
past and on-going research activities in the domain of CAV technology, the potentials and
limitations of this technology in addressing the issues of current transportation system are
not well investigated [16]. 2. Vehicle platooning A vehicle platoon is a group of two or more consecutive automated vehicles, also denoted
as a string of vehicles, travelling along a highway in the same lane with a short inter-vehicle
distance and at the same velocity. Typically, spacing strategy (also denoted as spacing pol-
icy) has been used to define the required inter-vehicular distance, while the target speed
is decided by either a lead vehicle (the first vehicle in the string which can be either an
autonomous or human-driven vehicle) or, if available, by the road infrastructure which
acts as a virtual leader [18]. There are several benefits of organising the road vehicles in
platoons, for instance (i) increasing traffic flow while reducing traffic shock waves, (ii)
reducing fuel consumption and pollutant emissions and (iii) improving road safety. Vehicle
platooning also improves drivers comfort through (i) providing drivers the opportunity to
focus on other activities during the trip, and (ii) generating smooth speed variations result-
ing in having less jerk compared with vehicles under human control. It is noted that the
key parameters for increasing traffic flow through platooning are the inter-vehicular dis-
tance and the number of vehicle participating in the platoon (i.e. platoon lenght). The traffic
flow increases when the inter-vehicular gap reduces or the number of the vehicles in a string
increases. In the case that all vehicles of a highway are organised in sets of platoons, it is pos-
sible to increase traffic flow about four times and reach a value up to 8000 vehicle/hour/lane
for automated highways [19]. However, in a mixed traffic scenario, the achievable traffic
flow and reduction of shock waves increase as the fraction of vehicles grouped in platoons
increases [20,21]. Shortening the inter-vehicular distances also results in a reduction of fuel
consumption of the platoon due to the reduction of aerodynamic drag force acting on each
vehicle in the fleet. As documented by the earliest outcome of the PATH program [22,23],
the aerodynamic drag force experienced by platoons reduces when the inter-vehicular gap
reduces or the number of vehicles in the platoon increases. Furthermore, the average reduc-
tion in the drag force approaches a limit as the number of platoon members increase and
this limit is a function of inter-vehicular spacing. 1. Introduction Therefore, this paper is devoted to analysing achievable benefits
of exploiting off-board data gathered via V2X communications, and inter-vehicular coop-
eration on autonomous vehicles. To investigate the potentials and limitations of CAVs, a
set of five use-cases is chosen and analysed through the results presented in the current
technical literature. The first four use cases (i.e. vehicle platooning, lane change, intersec-
tion management and energy management) have been selected to show examples of how
connectivity can support cooperative manoeuvring thereby improving road transporta-
tion whereas the last use-case (i.e. cooperative road friction estimation) is dedicated to
demonstrating how perception of the surrounding environment can be improved when
vehicles cooperatively share their local perception knowledge. The analysis of cooperative
localisation systems has been performed in a separate work by the authors and is reported
in [17]. The remainder of the paper is organised as follow. Section 2 and Section 3 investigate the
benefits of cooperative driving in highway scenarios. Section 2 is devoted to the analysis of
vehicle platooning while Section 3 examines lane change manoeuvres supported by com-
munication systems. Intersection management is analysed in Section 4, to study achievable
benefits through V2X communication systems in urban environments. In Section 5, it is
discussed how off-board information gathered via communication systems can be used to
reduce energy consumption. Cooperative estimation of the road friction for supporting
on-board safety systems of CAVs is analysed in Section 6. Finally, conclusions are drawn
in Section 7. 4
U. MONTANARO ET AL. 2. Vehicle platooning The reduction of aerodynamic drag force
results in the reduction of required drive torque and therefore less fuel consumption, which
is expected to be on average 20% for the inter-vehicular gap of 0.2 vehicle length (about 1
m). Similar conclusion regarding fuel efficiency of vehicles operating in platoons have also
been drawn more recently in [24,25]. It is noted that, as human driver reaction time (of
about 0.25 s) is too large to guarantee collision avoidance while driving with such reduced
inter-vehicular distances, high vehicle automation is required to implement platoon sce-
narios [26] which also improve road safety through tight control of the inter-vehicular
gap and speed [27]. However, it is worth mentioning that excessive shortening of inter-
vehicular distance can have a negative impact on the passengers comfort [28]. Platoons of
autonomous vehicles must guarantee two stability criteria: (i) individual vehicle stability
and (ii) string stability. Individual stability requires that the difference between the refer-
ence inter-vehicular gap and the actual one (spacing error) converges to zero when the
lead vehicle has a constant speed [29,30]. The convergence speed of the spacing error to
zero, known as ‘stability margin’ is used as an index to evaluate the performance of the
platoon in establishing the required cooperative motion [31,32]. String stability refers to
the stability of all vehicles travelling together in the platoon and needs to be robust against
perturbations of motion of the lead vehicle [33]. Unstable strings of vehicles can induce
traffic waves which force the following vehicles into sudden accelerations/decelerations VEHICLE SYSTEM DYNAMICS 5 slowdown or standstill, thus reducing traffic flow and drivers comfort, while increasing
at the same time fuel consumption [34] and the possibility of rear-end collisions [35]. It
is noted that autonomous vehicles that adjust the inter-vehicular distance based only on
the position of the lead vehicle (measured through local sensors) have limited capability
to be operated in platoons [35,36]. Furthermore, the limitation of autonomous vehicles
to be organised in platoons depends also on the platoon spacing strategies. In the con-
text of vehicle platooning, spacing strategies are mainly classified as: (i) constant policy,
and (ii) headway policy (also known as velocity-dependent spacing policy). When a con-
stant policy is adopted, the inter-vehicular gap is independent from the velocities of the
vehicles. 2. Vehicle platooning This policy can increase throughput more than the headway policy and has been
used initially to show the benefits of automated highways to increase road capacity [25]. On the other hand, in the headway policy, each vehicle adapts the inter-vehicular distance
linearly based on its own speed and the time headway where reducing the time headway
will increase the achievable benefits from platooning. However, it is noted that, for both
constant and headway policies, maintaining the string stability is a major concern. For
the constant policy, it was proven that the string stability cannot be guaranteed when pla-
toon control systems make decision based only on the inter-vehicular gap [37,38] while
for the headway policy the string stability suffers when reducing the time headway [33,35]. Through V2X communication, it is possible to mitigate the limitations of both constant
and headway policies. For instance, a multitude of information obtained from all or a frac-
tion of the vehicles in the platoon (e.g. acceleration of the lead vehicle, spacing error of
other vehicles in the string, vehicles position, velocity and accelerations, etc.) can guar-
antee the string stability of constant policy [37]. On the other hand, platoons of CAVs
can be operated also with a time-headway equal to 0.6 s [39], which is also accepted by
passengers as experimentally shown in [28]. Moreover, by increasing the range of infor-
mation shared by vehicles in a platoon, better performance in terms of string stability can
be achieved. For instance, in [39], it was shown that by including information from the
vehicle ahead the lead vehicle (defined as second lead vehicle) into the control actions of
subject vehicle1 (see Figure 1(a)), it is possible to reduce the minimum time headways with
respect to the case where only information from the lead vehicle was used without jeopar-
dising string stability. Another example is documented in [40] where it was proven that by
including information from the following vehicle into the computation of the acceleration
of the subject vehicle (see Figure 1(b)), it is possible to preserve the cooperative motion
also when one of the vehicles in the string has limited speed performance compared to the
other vehicles in the fleet. Thus, there is a proof from the literature that varying the num-
ber of communication links has an effect on the string stability of a platoon. 2. Vehicle platooning The idea of
improving the performance and robustness of vehicle platoons by increasing the number (a)
(b)
Figure 1. (a) Platoon scenario presented in [39] and (b) platoon scenario presented in [40]. Grey arrows
indicate the communication links carrying data among vehicles. Figure 1. (a) Platoon scenario presented in [39] and (b) platoon scenario presented in [40]. Grey arrows
indicate the communication links carrying data among vehicles. U. MONTANARO ET AL. 6 6 of communication links between vehicles has recently motivated researchers to investigate
the possibility of coordinating vehicle motion by using different communication network
topologies2 between vehicles of a platoon; see, for instance, [42,43] and references therein. The focus of the platoon control system is then to guarantee platoon formation and stabil-
ity independently from the underlying communication network topology while assuring
robustness to uncertain and time varying communication delays. However, the current literature does not provide a systematic approach either for the
selection of the underlying network topology or for the information that vehicles in the
platoon should share to achive the synchronised motion, and usually only platoons with
homogenous vehicles (i.e. with equal acceleration/deceleration capability, equal actuator
delays, etc.) with the same preferences (such as spacing policy, time headway, etc.) are
considered. The information shared among the vehicles for maintaining the synchronised motion
of the platoon depend on the vehicle dynamic model used for the design of platoon control
algorithms. Usually, when the control objective is to impose individual and string stability,
only the longitudinal vehicle dynamics are considered. According to the automotive lit-
erature, the longitudinal control system architecture for vehicle platooning is hierarchical
where it is composed by an upper-level controller, known also as Cooperative Adaptive
Cruise Control (CACC) system, and a low-level controller [44,45]. The former determines
either the desired acceleration or driving/braking torque for each vehicle based on infor-
mation collected from its neighbours, while the latter is instead locally used to generate
for each vehicle the throttle and/or brake commands required to exactly track the desired
references as planned by the upper-level CACC. 2. Vehicle platooning Figure 2 depicts the two-level platoon con-
trol architecture where the Estimation & Ambient Condition block is used to reconstruct
information not directly measured (such as the air mass incoming into the engine) by on-
board sensors and provide ambient data (such as road slope) to the Inner-loop low-level
controller, while the Localisation block is used to localise the vehicle on a Local Dynamic
Map (LDM). The reference speed is provided to the leader by planning controllers, e.g. speed optimisation controllers for the minimisation of the fuel consumption of the fleet
(see Section 5 for further details on speed optimisation supported by V2X communica-
tion), and the V2X devices are used to gather information from the neighbouring vehicle
in the platoon. Figure 2. General control architecture for vehicle platooning. Figure 2. General control architecture for vehicle platooning. 7 7 VEHICLE SYSTEM DYNAMICS It is noted that both the upper and the low-level controllers are designed based on the
longitudinal vehicle dynamics. However, models with different fidelity have been used to
capture the longitudinal motion, for instance, detailed models are adopted for design-
ing inner-loop controllers while simple models are exploited to design CACC algorithms
[42]. Furthermore, it is noted that several simplified longitudinal vehicle models have been
adopted in the technical literature for devising of CACC strategies. These models can be
classified based on the order of the resulting dynamical system (i.e. the number of differ-
ential equations describing the vehicle state or motion) and they might contain nonlinear
terms such as drag force and rolling resistance. Typically, simplified longitudinal vehicle
dynamics are described using (i) first-order models (single integrators), (ii) second-order
models (double integrators and linear/nonlinear damper-mass systems) and third-order
models (linear/nonlinear third-order systems). When single integrators (first-order mod-
els) are used the vehicle state is the vehicle position and the vehicle velocity is used as
control action [46]. On the other hand, second-order models describe the vehicle as a point
mass where the vehicle state variables are the longitudinal vehicle position and velocity
while the longitudinal acceleration is used as control action [31,47–49]. In case, the drag
force and rolling resistance are neglected, second-order models reduce to double integra-
tors [31]. On the contrary, if the drag force is relevant (e.g. 2. Vehicle platooning in the case of platoons of trucks
or cars driving at high speed), the longitudinal vehicle dynamics is described through a
damper-mass system [47], which is linear when a linear approximation of the drag action
is used [48]. In the case of third-order models, the vehicle is still described as a point mass
but an additional state is introduced to consider the time-lag in the longitudinal acceler-
ation due to, for instance, the vehicle powertrain and engine dynamics, thus the control
action is usually the reference driving/braking torque or the desired acceleration [32,50]. First- and second-order models have been considered in the literature to simplify the
control design and the closed-loop analysis of platoon control system especially with
respect of the platoon length, i.e. the number of vehicles in the platoon. For example,
in [46] the single-integrator model was used to analytically show that the magnitude of
the control action can scale with respect to the root of the platoon length. In [31], the
double-integrator model was adopted to prove that the stability margin goes to zero as
the inverse of the square of the platoon length when the bidirectional topology3 is used. In [48] it was shown that string stability can be preserved in presence of communication
latency if the information shared through the V2X links are augmented with the leader
velocity information. This result was achieved by using a second-order vehicle model
which included also the drag force. However, to facilitate the closed-loop analysis, a linear
drag force was considered together with the perfect knowledge of the vehicle parame-
ters. Consequently, unavoidable parameter mismatches and unmodelled nonlinearities can
jeopardise string stability and safety in real working conditions. The need to design robust
platoon algorithms with respect to vehicle nonlinearities and parameter uncertainties has
been discussed for instance in [47] where a nonlinear damper-mass system with unknown
parameters was used to model the longitudinal motion. In [47], authors suggested using
a nonlinear controller with adaptive parameters to tackle vehicle uncertainties and dis-
turbances while achieving string stability for bidirectional topologies. It is noted that when
first- and second-order models are exploited for the design of CACC strategies, it is implic-
itly assumed that the control action can be instantaneously imposed to the vehicle. On the
other hand, this assumption might not be fulfilled due to inevitable parasitic delays and U. MONTANARO ET AL. 2. Vehicle platooning 8 8 lags of the powertrain, sensors and actuators, which can jeopardise stability and perfor-
mance of platoon control systems. In accordance to [35], a lumped parasitic delay and lag
are the combined result of pure time delays and lags in (i) the engine response, (ii) the
throttle actuator, (iii) the brake actuator and (iv) low-pass filters used for sensors such as
engine manifold pressure sensor, wheel speed sensor, etc. In [35], authors also proved that
when vehicles in the platoon receive only information from the predecessor vehicle, the
time-headway has to be at least double of the sum of the lumped parasitic delay and lag
to guarantee string stability, thus increasing inter-vehicular distance which results in less
fuel efficiency and road usage [51]. For a constant spacing policy and vehicles modelled as
a second-order point-mass system, authors have proven in [52] that string stability is pre-
served in presence of unknown but upper-bounded time-lags by reducing the magnitude
of the control gains which might reduce platoon stability margins. g
g
p
y
g
To systematically consider delays and time-lags, third-order vehicle models are used
where an additional state is added to the aforementioned point-mass systems to capture
either the dynamics of the acceleration of the vehicle or its torque. Usually, the additional
equation is a low-pass linear filter with unitary gain and time constant equal to a lumped
value of the lags of the powertrain, sensors and actuators. The input to the filter is either the
desired vehicle acceleration [32,39,53], desired driving/braking torque [50,54], or a delayed
version of these quantities to model also a lumped delay of the powertrain, sensors and
actuators [35]. The analysis of the technical literature have shown that the lumped time-lag
usually ranges from 200 to 800 ms, while the time-delay is typically within 20 and 250 ms
[55]. Furthermore, both linear and nonlinear third-order vehicle models have been used
for platoon control design. A nonlinear third-order model has been recently considered
in [50] for the design of an optimal network-based platoon strategy which also guaran-
tees that the desired driving/braking torque is confined to a preassigned set. 2. Vehicle platooning An additional
example of the use of nonlinear third-order systems is provided in [54] where a nonlinear
controller was designed to guarantee the convergence to zero of the inter-vehicular error in
a finite time and it was shown that the converging time depends on the network topology. It is noted that, although nonlinear systems have been used, linear third-order models are
more often adopted for CACC design as they simplify the stability analysis of the closed-
loop system. For instance, in [39] it was proven that by including the desired acceleration of
the second lead vehicle (see also Figure 1(a)) into the computation of the CACC action it is
possible to ensure string stability also for time-headway smaller than the double of the sum
of the vehicle time-lags and delays, thus improving the result in [35]. More recently, authors
in [32] have proposed a systematic approach for design of the platoon control parame-
ters based on the study of the roots of a third-order algebraic equation whose coefficients
depend on the vehicle time-lag, network structure and control gains, thus showing the
coupling among control parameters, network topology and vehicle model to achieve the
cooperative platoon motion. In [53], authors extended the previous analysis to prove that
by enlarging information topology (i.e. adding communication links to the bidirectional
topology) stability margin can be made independent on the number of the vehicles in the
platoon, thus improving the result in [31] for double-integrators vehicle model. It is remarked that the longitudinal vehicle models discussed above are used to design
CACC strategies to impose the synchronised motion to a fleet of consecutive vehicles. The
output of these control algorithms is then imposed to the vehicle by low-level controllers
[44,45] (see also Figure 2). As the control variables of low-level controllers are the inputs to 9 VEHICLE SYSTEM DYNAMICS the vehicle actuators (e.g. throttle opening and the braking system), their design requires
more detailed longitudinal vehicle models which also include the engine dynamics, engine
maps, speed density functions, throttle body dynamics, dynamics of the braking system,
nonlinear drag forces, rolling resistance and road slope, etc. [44,45]. 2. Vehicle platooning The ability of the
low-level controller to impose to the vehicle the commands provided by the upper-level
controller is fundamental to achieve the cooperative motion, and controllers with poor
tracking capability might induce larger transients and steady-state spacing errors, such as
those numerically documented in [56], which might threaten road safety. It is noted that
parameter uncertainties, unmodeled dynamics (e.g. engine/vehicle unmodeled dynam-
ics), disturbances (e.g. wind) and changes in operating speed are unavoidable and prevent
the perfect tracking of the commands generated by platoon controllers. Consequently, the
dynamics of the vehicle with the low-level controller can differ from those predicted by
using simplified longitudinal vehicle models. The mismatch between the simplified models
and those provided by vehicle/low-level controllers motivates the use of uncertain systems
subjected to bounded unknown disturbances for the CACC design. A systematic tech-
nique to model the low-level controller and the vehicle as a third-order linear system with
unknown but bounded parameters and disturbances for platoon applications has been
recently proposed in [45]. Specifically, based on the range of the possible variations of the
vehicle parameters, in [45], the authors used a detailed longitudinal vehicle with a nonlin-
ear low-level controller to obtain a set of vehicle acceleration profiles. These acceleration
profiles were then used to tune multiple third-order linear models with a multiplicative
uncertainty to be exploited for the design of robust and adaptive platoon controllers, such
as those presented in [57–59], which guarantee stability also in the presence of such model
uncertainties. It is noted that, for the design of control algorithms to impose the cooperative
platoon motion, usually, only the longitudinal vehicle dynamics is considered. However, for
additional platoon operations, such as side merging into a platoon and leaving a platoon,
also lateral vehicle dynamics must be modelled for the generation and tracking of lateral
feasible trajectories [60,61]. Lateral vehicle dynamic models are discussed in Section 3 for
the planning and tracking of lateral manoeuvres for lane changes. These models can also be
used for platoon functionalities that require lateral movements, thus the reader is referred
to Section 3 for further details on lateral vehicle models for CAVs. 2. Vehicle platooning Finally, it is remarked that although V2X communication systems can help in ensuring
string stability with reduced inter-vehicular gaps, the control of platoons in the presence
of network imperfections (such as time varying and uncertain communication delays, and
packet loss) is still a challenging open problem. Furthermore, even though several numeri-
cal studies have confirmed that organising vehicles in platoons increases fuel economy and
road capacity; systematic platoon strategies for achieving a suitable compromise between
safety and performance based on system parameters (e.g. inter-vehicular distance, platoon
speed, network latency and packet drop rate) to the best of the authors knowledge are not
available in the current literature. 3. Lane change Lane changes are common manoeuvres on highways and have a significant impact on
transportation traffic flow and safety as they can induce speed and traffic flow oscilla-
tions especially in dense traffic situations [62]. Furthermore, vehicles performing lane 10 U. MONTANARO ET AL. 10 changes act as moving obstructions which increase traffic shock waves and reduce safety
[62]. Vehicles that can autonomously perform high-speed manoeuvres have the poten-
tial to reduce the risk of lane change crashes, thus improving traffic safety [63]. However,
to autonomously perform a lane change, it is essential that a vehicle can determine if,
when, and how to perform a lane change. The decisions that govern ‘if’ a lane change is
required are dependent on factors such as (i) legislation, (ii) route plan, (iii) traffic con-
ditions, etc. Once the decision to perform a lane change has been made, it is the need to
identify the right instant i.e. ‘when’ to initiate and terminate this manoeuvre to maintain
both safety, comfort of the occupants and other road users. Finally, once the time and spa-
tial boundaries are computed, the important task of actually performing i.e. ‘how’ the lane
change needs to be tackled by the CAV. Various approaches proposed in the literature for
performing these tasks are discussed in further detail below. p
g
According to [64], two types of lane change are possible: (a) discretionary lane change
(DLC) and (b) mandatory lane change (MLC). MLCs are either imposed by the traffic rules
or by vehicles destinations to follow their desired route, e.g. for the correct selection of the
lane for merging onto the highway from an on-ramp or taking an exit off-ramp. Contrary,
for DLCs the change of lane is performed if the traffic situation is perceived as better in the
destination lane (also denoted as the target lane); for example, allowing the subject vehi-
cle to maintain or increase speed or to pass a sequence of moving vehicles with a possible
return to the origin lane (overtaking). A fundamental step in any DLC is the Lane Selec-
tion [64], which is defined as the process of choosing the target lane through foreseeing
an improvement in the driving condition. Autonomous vehicles can select the target lane
based only on the data collected from nearest vehicles, i.e. those within the line of sight
of on-board sensors [65,66]. 3. Lane change Numerical results show that in the case where the subject vehicle does not have a view of
traffic conditions on the road segment beyond its sight (case (i)), it must reduce its veloc-
ity from about 58 to 35 km/h (a velocity reduction of about 40%) before initiating a lane
change manoeuvre at t =30 s. But, when traffic information is included (case (ii)), the lane
change manoeuvre initiates at t =16 s and the velocity for the subject vehicle is reduced at
most by 17.25%. Intuitively, the latter vehicle response improves both the average vehicle
speed and fuel economy as well. When the optimal lane change is used, the average veloc-
ity increases about 7.72% while fuel consumption is reduced about 40%. For accurately
evaluating fuel reduction in more realistic conditions, a mixed scenario was also simulated
where a road segment of 2 km was considered with three lanes including a merging lane. Energy consumption on the road segment was evaluated for different penetration rates. In
addition, results were compared with respect to the cases: (a) no vehicle is equipped with
the optimal selection of the target lane and (b) some vehicles adopt Cooperative Adaptive
Cruise Control (CACC). Numerical results showed that the optimal lane selection based
on traffic information always provides better performance in terms of fuel economy with
respect to the CACC by improving full economy up to 14%. Also, with low penetration rate,
the optimal lane selection provides consistent improvement of fuel economy compared
with no vehicle so equipped. For instance, with a penetration rate of 10%, a fuel econ-
omy of about 8.8% is obtained. Controlled vehicles in a mixed scenario also improve fuel
economy of conventional vehicles. For instance, when the penetration rate is 25%, the fuel
reduction of all vehicles is 9.2%. Such additional benefit is due to the intrinsic cooperation
among vehicles that share the same road section. Indeed, some of the conventional vehi-
cles must adapt their velocity and target lane with respect to the controlled ones to avoid
collisions. For the lane selection method described above, each vehicle selects a sequence of target
lanes using off-board data collected via V2X communication by optimising a cost func-
tion that weights only individual performance indices (fuel consumption, travel time, etc.). 3. Lane change Nevertheless, limited knowledge of the traffic ahead is a key
issue to lane selection as it might generate incoherent lane change decision making (e.g. non-beneficial lane change). By assuming a V2X environment, where traffic information
for both the current lane and adjacent lanes are known in advance, each connected vehicle
can select a sequence of lane changes over a given horizon with the aim to optimise an
individual cost function (travel time, driver comfort, etc.) This approach for lane selection
has been used in [67,68] where an optimal strategy has been exploited to compute both
the optimal lane and acceleration of the subject vehicle, over a finite horizon to minimise a
cost function related to the driving efficiency and comfort. The effectiveness of including
traffic information of an entire road segment for the optimal selection of the target lane has
been proven numerically in [68] in which two simulation case-studies were considered. In
the first scenario, shown in Figure 3, there is only one subject vehicle indicated as SV. The
SV is initially in lane 1 and is preceded by the vehicles c1, c2, . . . ,c7. Only vehicle c1, also Figure 3. Thetrafficscenario,wherealeadingvehicle(c7)intheprecedingtrafficrunsslowlythataffects
the traffic flows on lane 1 (based on the scheme in [68]). Figure 3. Thetrafficscenario,wherealeadingvehicle(c7)intheprecedingtrafficrunsslowlythataffects
the traffic flows on lane 1 (based on the scheme in [68]). 11 VEHICLE SYSTEM DYNAMICS 11 indicated as PV (Preceding Vehicle) in Figure 3, is in view of the subject vehicle (see also
Figure 3). The 7th preceding vehicle (c7), which is beyond the sight of the SV, suddenly
decelerates between t =2 s to t =5 s and its velocity drops from 60 km/h to 35 km/h and
then continues moving slowly. This slow vehicle gradually affects the traffic downstream,
e.g. from the 6th vehicle (c6) towards the 1st vehicle c1. The scenario described in Figure 3
is then analysed considering the following cases, (i) on road vehicles are not connected and
the subject vehicle senses only the position of vehicle c1 and lane selection is performed
by using a set of rules; (ii) a connected environment is assumed and the subject vehicle can
sense in advance the velocity reduction of vehicle c7 via communication networks and use
this information to change its longitudinal and lateral motions before vehicle c1 starts to
slow down. 3. Lane change Hence, this approach does not exploit the potential of V2X communication to create coop-
erative driving scenarios aiming to improve the traffic flow, pollutant emissions and fuel
consumption of road networks. To improve the use of road infrastructures, in [69–71],
cooperative lane selection methods have been proposed. The common idea underlying
these methods is to measure the performance of a group of vehicles and select the set of
lanes that guarantees the minimisation of a common cost function. When these methods
are adopted, the road is divided in segments and at the beginning of each segment the
following steps are performed: 12
U. MONTANARO ET AL. U. MONTANARO ET AL. • Data collection: A group of vehicles is formed and information from each vehicle is col-
lected through communication links. These data can include location, speed, lane and
desired driving speed of each individual vehicle. • Optimal target lane determination: Based on the data collected in the previous step the
target lane for each vehicle in the group is computed by minimising a collective cost
function (e.g. a cost function that includes the energy consumption or the travel time
of the group). g
p
• Lane change execution: Each vehicle in the group executes the required lane change
within the current road segment. • Lane change execution: Each vehicle in the group executes the required lane change
within the current road segment. For cooperative lane selection, both Centralised and Distributed solutions have been pro-
posed. Centralised algorithms use one control unit for selecting the target lanes for the
vehicles in the group and data are collected via V2I communication links, while in the case
of Distributed solutions, the set of the vehicles in the group cooperate to select the target
lanes to minimise the common cost function by using V2V communication links. In the
following, some examples from the literature are reported. In [69,70], a distributed optimal
lane selection for minimising the travel time of a vehicle which travels on a highway has
been proposed. The effectiveness of reducing the travel time has been shown numerically
in simulations for four-lane highway with three entries and three exit points. Numerical
results indicated that the average travel time reduction of the proposed solution depends
on traffic density and the percentage of cooperative vehicles. 3. Lane change For instance, it was shown
that if the traffic density is 2000 vehicle/hour with a penetration rate of 100%, the average
travel time reduction would be 14.3% compared with the case that no vehicle is connected,
while it would be 6.25% if the penetration rate is 50%. On the other hand, with considering
a traffic density of 6000 vehicle/hour with 100% penetration, the maximum fuel reduction
would be 8.8% compared with the case where no vehicle is connected. In [71], a centralised
cooperative lane selection has been proposed to minimise the travel time of the group. The
method was tested numerically for a highway segment 2000 m long. Furthermore, differ-
ent volume-to-capacity (V/C) ratios, ranging from 0.5 to 0.95, were considered. Notice that
the V/C ratio is a measurement of the traffic status based on the current traffic volume and
capacity of the road segment, which is defined as the maximum number of vehicles per
unit time which can be accommodated on the road segment under given conditions, e.g. a given time headway between consecutive vehicles [72]. Simulation results confirmed a
travel time reduction of up to 3.79% when the V/C ratio is 0.7. The reduced travelling time
has an effect also on the fuel consumption and pollutant emission with reductions about
2.2% and 19%, respectively. Analysis of the literature has shown that lane changes resulting from limited informa-
tion and lack of cooperation among of road vehicles have an impact of the traffic flow, travel
time and fuel consumption. Through the use of CAVs, it is possible to; (i) improve the lane
selection process of individual vehicles by using off-board traffic data and (ii) enable coop-
erative scenario where a group of vehicles collaboratively choose their target lane. However,
lane selection solutions which use V2X communication only for gathering additional off-
board information do not completely exploit the potential of communication channels to
create cooperative driving scenarios where sets of vehicles decide together future actions to
improve the overall traffic. The results presented in this section have shown that coopera-
tive lane selection is possible and it is beneficial for fleets of vehicle to increase fuel efficiency VEHICLE SYSTEM DYNAMICS 1 13 and to reduce travel time thereby increasing road throughput. 3. Lane change On the other hand, the con-
cept of deciding a set of target lanes by optimising a single cost function for a group of
vehicles implies that some of the vehicles in the group might worsen their performance (e.g. fuel consumption, travelling time, etc.) with respect to the case of no cooperation. Conse-
quently, this approach might be used by road authorities to improve traffic but it might not
be suitable for controlling individual vehicles which might aim to get individual benefit
(unless individual benefits can be demonstrated as well). Finally, even though individually
based and cooperative lane selections supported by V2X communication have shown to
provide similar benefits, it is not possible to compare them quantitatively. The results pre-
sented depend on a range of factors such as the simulator, traffic scenario, control strategy,
etc. which makes a systematic comparison difficult. y
pfi
Once the decision (either MLC or DLC) to perform a lane change has been made, the
autonomous vehicle needs to (i) generate a feasible collision-free trajectory in real time,
and (ii) track this trajectory as closely as possible by applying appropriate amount steer-
ing, acceleration and braking action. Performing an autonomous lane change manoeuvre
is a challenging task as it combines both lateral and longitudinal motion of a subject vehi-
cle while avoiding collisions with other road users [73]. The two control tasks mentioned
above for achieving this goal are divided into (i) trajectory planning, and (ii) trajectory
tracking. A general control architecture to depict the closed-loop structure is shown in
Figure 4 [74–79]. The trajectory planning controller perceives the environment, moni-
tors vehicle states (longitudinal and lateral positions, longitudinal and lateral velocities,
longitudinal and lateral accelerations, and heading) and computes safe and feasible trajec-
tories (e.g. reference velocity, vref, longitudinal and lateral position, denoted in Figure 4 as
Xref and Yref, respectively) for the vehicle to track [80]. The trajectory tracking controller
then computes, via feedback algorithms based on the tracking error, the necessary torque
(τref) and steering inputs (δref) required to track the reference, despite possible measure-
ment noise, un-modelled dynamics, parametric uncertainties which may or may not be
accounted for by the trajectory planning controller. An autonomous vehicle performing lane changes at high speeds requires that vehicle
dynamics and constraints are considered while planning trajectories so that in addi-
tion to being safe are also feasible. 3. Lane change Thus for autonomous high-speed driving, the vehicle
model provides two pivotal functions, (i) vehicle system simulation, and (ii) design and Figure 4. General control architecture for an autonomous lane change (V2X block with dot-dash
boundary: optional functionality). Figure 4. General control architecture for an autonomous lane change (V2X block with dot-dash
boundary: optional functionality). 14 U. MONTANARO ET AL. 14 investigation of controller properties [81]. A variety of vehicle models ranging from point-
mass model all the way to multi-body models have been developed and the ones relevant for
controller design have been documented in [30]. Since, the lateral dynamics of a vehicle has
a nonlinear dependence on the longitudinal velocity, vehicle models that provide a suitable
trade-off between model accuracy and fidelity need to be used for trajectory planning. A
comprehensive review of different trajectory planning techniques in [82] shows that there
are three vehicle models namely (i)the point-mass model, (ii) the linear kinematic bicycle
model and (iii) the non-linear kinematic bicycle model which are most commonly used
by researchers. Among these, the point-mass vehicle model does not incorporate any lat-
eral and yaw dynamics of the vehicle and hence trajectories involving lateral motion that
were generated using this model were often found to be unfeasible under certain condi-
tions (especially at high speeds and/or low friction coefficient). The two bicycle models
mentioned above capture the lateral and yaw dynamics by modelling them using geomet-
rical relationships. This additional system dynamics means that kinematic bicycle models
are suitable for trajectory planning even in conditions of high-speed and low friction
coefficient [78]. fi
As explained above, the planned trajectory is provided as the reference to the track-
ing controller to be accurately tracked while maintaining also state and input constraints. A comprehensive review of trajectory tracking control on the aspects of choice of vehicle
model, control strategies, and controller performance criteria has been performed in [81]. The review demonstrated that geometric models based on Ackermann steering are not
suitable for high-speed trajectory tracking due to their inability to include vehicle dynam-
ics (e.g. acceleration and velocity). Additionally, it is highlighted that kinematic models
(bicycle or four-wheel) are also unsuitable for high-speed trajectory tracking as they are
inaccurate due to assumptions such as (i) no side-slip in tyres and/or vehicle, and (ii) lin-
ear tyre behaviour throughout the entire range of operation. 4. Intersection management Intersections are shared areas (or conflict areas) and represent bottlenecks in the traffic
flow. They can be classified as (i) Signalised Intersections which are equipped with traffic
lights, and (ii) Non-Signalised Intersections which do not have traffic lights and drivers
must interact with each other. Although intersections represent a small fraction of the
road system, a noteworthy amount of fatalities occur within the area jointly used by the
intersecting streets and are mainly caused by human errors [90]. For example, during
the 10-year time period from 2005 to 2014, over 20% of the fatalities on EU roads took
place at intersections [91]. Furthermore, ineffective intersection management (e.g. traffic
lights with fixed timing, stop signs etc.) can increase the time that vehicles are stationary
at junctions thereby resulting in an increase of travel time, fuel consumption and pollutant
emissions. Hence, the correct management of intersections is of utmost importance for
keeping traffic safe, improving traffic flow, and at the same time reducing energy consump-
tion, pollutant emissions, and travel time. Autonomous vehicles and their cooperation with
intelligent road intersections can reduce human mistakes and improve the efficiency of
intersection management systems, thereby improving safety, energy and traffic efficiency
[92]. In addition to traffic timing, V2X communication systems can be used to provide
detailed vehicle information and driver’s intentions of vehicles approaching the intersec-
tion. Such information can be collected and exploited to anticipate the behaviour of the
vehicles, particularly those that are not within the line of sight of the on-board systems of
the subject vehicle. Therefore, this section is devoted to analysing the working principle of
Cooperative Intersection Management (CIM) systems. Hereafter, a CIM system refers to
those intersection control systems which exploit V2X communications to provide solutions
to the problem of coordinating the motion of a set of vehicles through intersections safely
and efficiently. The management algorithms for CIM solutions are mainly based on heuris-
tic rule-based methods [92] or optimisation based methods [93]. In the case of heuristic
rule-based methods, the vehicles cooperate to pass the intersection by using a set of fixed
rules implemented as an interaction protocol among the vehicles and the coordination unit. On the other hand, optimisation-based methods mathematically formulate a CIM prob-
lem and solve it by using tools from control theory. It is noted that the decision variables
(also known as control variables) depend on the adopted method. 3. Lane change Dynamic vehicle models (full
vehicle model, half vehicle model and bicycle model) attempt to address these issues by
incorporating additional states such as (i) vehicle side-slip angle (β), (ii) tyre side-slip (α)
and (iii) linear or non-linear tyre models and they were found to provide a more accu-
rate representation of a vehicle during high-speed driving [81]. Moreover, for manoeuvres
(lane-change manoeuvre, overtaking manoeuvre, highway driving) that require small lat-
eral accelerations (≤0.5 g) and low vehicle side-slip angles (≤5◦) the tyres remain within
the linear region of operation and hence, a dynamic bicycle model (linear) is sufficient to
capture the relevant dynamics of a vehicle [81,83]. As a result, a majority of papers in lit-
erature have used a single-track vehicle model (bicycle model) for developing a tracking
controller for performing lane change manoeuvres since this manoeuvre is performed well
within the dynamic limits of the vehicle (i.e. lateral acceleration, vehicle side-slip and yaw-
rate) where both the vehicle as well as tyre dynamics can be approximated by linear models. However, while performing lane changes at high-speeds and/or in low road friction con-
ditions, the tyres might operate in the non-linear region which might lead to the lateral
and yaw dynamics of the system to exhibit substantial non-linear behaviour and therefore
for appropriate scenarios either nonlinear models, linear parameter varying (LPV) models
or multiple models can be used to capture the relevant dynamic behaviour of the system
[83,84]. Out of the wide variety of vehicle models available in literature a kinematic bicy-
cle model and dynamic bicycle model have been found to provide a good compromise
between model complexity and accuracy for controller design related to highway driving 15 VEHICLE SYSTEM DYNAMICS 15 applications [85,86]. For a more detailed discussion on different vehicle models, the reader
is directed towards the work by [81,87–89]. applications [85,86]. For a more detailed discussion on different vehicle models, the reader
is directed towards the work by [81,87–89]. 4. Intersection management They can be the tim-
ing of traffic lights, time slots to each vehicle to pass the intersection, intersection passing
sequence, acceleration and deceleration, etc. In what follows, CIM solutions for signalised
intersection and non-sigalised intersection are analysed to identify potential benefits and
limitations of each method for autonomous driving systems. l
d
h
f
ll
d
fi d
d In signalised intersections, the safety requirement is usually assumed satisfied under
the implicit hypothesis that all the vehicles respect the traffic light signals. Therefore, the
objective of CIM systems can be to reduce idling at red lights to maximise traffic flow or
to improve fuel efficiency. The idea behind these controlling systems is to use informa-
tion collected by means of V2X communication links to adjust vehicles motion with the
aim to reduce idling and fuel consumption at red lights. Typically, it is assumed that vehi-
cles approaching the intersection can communicate with the infrastructure and receive U. MONTANARO ET AL. 16 information from the upcoming traffic light. This information can be either the current
state of the traffic light or the Signal Phase and Timing (SPaT) signal, i.e. the current state
and timing of the upcoming traffic light. Based on this information, the velocity profile of
each vehicle is accordingly modified to pass the intersection during green light windows. Example of rule based methods for computing the vehicles speed profile can be found in
[94,95]. Usually, rule based methods compute the vehicle speed profile based on the current
state of the upcoming traffic light and do not consider vehicle dynamics within the design
criteria. Conversely, when optimisation methods are used, the speed profiles are the solu-
tions of dynamic constrained optimisation problems where the objective is to reduce the
fuel consumption over the whole trip [96,97] or to minimise the travel time [98,99]. In this
case, common constraints of an optimisation problem are longitudinal vehicle dynamics,
maximum allowed vehicle speed, inter-vehicular distance and acceleration/deceleration
capability of a vehicle. Furthermore, the accuracy of the optimisation algorithms can be
enhanced if the precise position of traffic lights along the path, the SPaT information of
traffic lights, and upcoming road parameters (e.g. road surface friction, maximum speed
velocity) are known. Therefore, V2X communication systems have the potential to enhance
the accuracy and efficiency of current optimisation algorithms by providing to a subject
vehicle upcoming environmental and SPaT information. 4. Intersection management However, the SPaT information
cannot be accurately obtained from traffic lights that adapt their timing based on the vehicle
queue in each road segment approaching the intersection [100,101]. The current literature conforms that if all on-road vehicles can adjust their speed based
on SPaT information, considerable fuel reduction can be achieved compared to the case
where no vehicle is connected. For instance, in [97], it was shown that when all vehicles
are connected and follow precisely the speed profile based on the SPaT data, in the case
that the traffic density is 600 vehicles/hour/lane, the average fuel reduction would be 30%
compared with the case where all vehicles are unconnected. Also, it was shown that in the
case of mixed traffic scenario (i.e. a mixture of connected and human-driven vehicles), the
achievable increase of fuel efficiency depends on the fraction of connected vehicles (i.e. penetration rate). Moreover, by increasing the fraction of connected vehicles in a traffic
segment, unconnected vehicles are more likely to adapt their motion to match the speed of
surrounding connected vehicles where higher synchronisation of vehicle motions results
in reduced stoppages at the intersection, thus bringing down overall fuel consumption for
connected as well as unconnected vehicles. However, assessing the real benefits of CIMs
for signalised intersections in a mixed scenario is not trivial as results are sensitive to the
simulated scenario (e.g. number of lanes, traffic flow, etc.), adopted method for computing
the speed profile, and the numerical tool used to simulate the human-driven vehicles (e.g. Car-following model; Lane-changing model). Therefore, discordant results on fuel reduc-
tion as a function of the fraction of the equipped vehicles are reported in the literature. For
instance, in [95] the trend of the fuel consumption for connected, unconnected, and all
on-road vehicles were decreasing as a function of the penetration rate. Furthermore, fuel
consumption of connected vehicles was larger than that of unconnected vehicles for a pen-
etration rate less than 60%. In [102], it was noted that if the penetration rate of connected
autonomous vehicles was less than 25%, an increase in fuel consumption for all road users,
up to 5%, was measured. However, the fuel efficiency of the all road users became a pos-
itive increasing function for penetration rates higher than 30%. 4. Intersection management In [97], it was observed
that the average fuel consumption of connected vehicles was always much smaller than 17 VEHICLE SYSTEM DYNAMICS 17 those unconnected. However, for high density traffic of 900 vehicles/hour/lane, the fuel
consumption of connected vehicles increased with the penetration rate. This unwanted
effect was caused by the impossibility of connected vehicles to implement their optimal
speed profiles in high-traffic density. It is noted that in the above-mentioned research
papers, only the traffic light information was considered to optimise the speed of con-
nected autonomous vehicles. However, V2V communication systems can be also used to
gather additional information such as neighbouring vehicle states to further improve fuel
efficiency. For instance, in [103,104], an optimisation control algorithm which utilises both
V2I (SPaT) and V2V communication was proposed. The idea behind the approach was to
adjust the motion of each connected autonomous vehicle with respect to the velocity of its
successor to possibly allow both vehicles to cross the intersection in the same green light
window. In the scenario of having a string of 15 vehicles on a road and traffic lights located
every 500 m, the simulation results showed that the fuel economy of traffic utilising both
V2I and V2V information can be improved by 22% compared to the case when just V2I
information is available and 50% compared to the case that the cooperation is not used. In
[102], V2X communication systems were also used to broadcast the length of the queue
stopped at the upcoming traffic light, thus to adjust the vehicle motion to avoid stoppages
behind traffic. Numerical results showed that by including traffic data in the computation
of the speed profile, it is possible to further increase fuel efficiency with respect to the case
where only SPaT information was used in mixed traffic. However for the this case study,
the increase was limited to 2%. In non-signalised intersection, as there are no signals or sign-posts available, vehicles
must coordinate the use of the common area within the junction. This coordination prob-
lem is usually formulated as calculating the trajectories for individual vehicles that allow
them to safely reach their destination in a finite time. According to [105], any solution
should meet the basic requirements of safety and liveness (defined below), while optimis-
ing performance metrics (e.g. fuel consumption, travel time, etc.). 4. Intersection management Here, safety means that
there is no collision between pairs of vehicle crossing the intersection whereas liveness
guarantees that all vehicles enter and exit the coordination area in finite time so that per-
manent stops and traffic deadlocks within the intersection are avoided. It is noted that
despite the management of signalised intersections in which vehicles can be either just
connected or connected autonomous, for the management of a non-signalised intersec-
tion, a common assumption is that all vehicles are connected and autonomous. For the
management of a non-signalised intersection, Ref. [106] proposed a rule-based approach
known as resource-reservation scheme. Achievable mobility and environmental benefits
were reported in [107] through testing the method for a four-way intersection. The average
delay to pass the intersection, fuel consumption, and pollutant emissions were compared
with traffic lights and roundabouts. The simulation results in [107] indicated that the
resource-reservation method always outperform current traffic lights and roundabouts
regardless of traffic density. The average reduction in travel delay and fuel consumption
with respect to traffic lights and roundabouts were 50% and 20%, respectively. Also, pollu-
tant emissions such as HC, NOx, CO were reduced by replacing traffic lights with CIMs. On average, the HC reduction was 35%, while NOx and CO reductions were 33% and
43%, respectively. The application of resource-reservation method was the subject of other
research as well, e.g. [108,109]. However, their findings and results are in agreement with
the outcome of [107]. Although a rule-based method can be more effective with respect U. MONTANARO ET AL. 18 18 to the roundabouts and traffic lights, its performance and the safety and liveness require-
ments are not guaranteed for events which have not been considered in rule definitions. As a result, the general lack of formal guarantees in terms of the object and constraints
form the main weakness of rule-based solutions [105]. On the other hand, the main idea
behind optimisation-based methods is to reformulate the problem of coordinating a set of
vehicles through an intersection as an optimisation control problem [105]. The require-
ments of safety and liveness are recast as constraints of the problem while minimising the
performance metrics. Collision-free and deadlock-free solutions are achieved by impos-
ing constraints on the motion trajectories of vehicles. In this approach, for each pair of
vehicles, it is required that the travel trajectories do not cross each other (safety require-
ment). 4. Intersection management In addition, each travel trajectory must enter and leave the common area of the
intersection in a finite time (liveness requirement). Examples of optimisation based strate-
gies can be found in [110–113]. In [110,111], the objectives of the minimisation was the
travel time and it was numerically proven that optimal-based CIMs can outperform inter-
sections controlled thought traffic lights, roundabouts and all-way stop control in terms
of fuel efficiency and travel time and for different road condition (dry, rainy and snowy). In [112] the target was to minimise the overlap of the vehicles position inside the inter-
section zone. Namely, the acceleration profiles of the vehicles were computed such that
only a limited number of vehicles are present inside the intersection at each time instant. Numerical results showed that optimal-based CIMs have the potential to reduce fuel con-
sumption with respect to intelligent traffic light, i.e. those where the timing depends on
the traffic queues behind the stop bar, especially for the case when traffic volumes exceed
the capacities of the roads. In [113], a multi-objective optimisation approach was used in
which the cost function included a term to penalise speed variation with respect to a speed
reference, and a term to penalise excessive acceleration/deceleration. It was numerically
proven that the optimal CIM was able to double the traffic flow compared to the case
where traffic lights were used for coordinating a four-way intersection. Although opti-
misation based approaches consider vehicle dynamics and physical constraints to assure
collision-free and deadlock-free solutions, the time to reach the optimal solution expo-
nentially increases with the number of conflict relationships among the vehicles [105,114]. For these reasons, the optimisation-based approach becomes numerically intractable for
real-time scenarios. To address the computation issues associated with optimisation-based
methods, in [114] authors have proposed a sub-optimal solution in which a controller cal-
culates the occupancy time interval (i.e. the optimal time instants that must be used by
each vehicle to safely enter and leave the intersection) based on shared information of traf-
fic vehicles. Then, based on the allocated time instances, each vehicle computes its own
optimal trajectory so that a local objective is minimised. The effectiveness of the method
to solve the intersection problem was demonstrated through simulations. Furthermore, a
set of 1000 simulations was analysed to assess the average time to solve the optimisation
problem with and without the proposed solution. 4. Intersection management Analysis of the simulation results showed
that the average time to solve the optimal control problem was about 10.14 s with a standard
deviation of 24 s On the other hand when the proposed method was applied the average to the roundabouts and traffic lights, its performance and the safety and liveness require-
ments are not guaranteed for events which have not been considered in rule definitions. As a result, the general lack of formal guarantees in terms of the object and constraints
form the main weakness of rule-based solutions [105]. On the other hand, the main idea
behind optimisation-based methods is to reformulate the problem of coordinating a set of
vehicles through an intersection as an optimisation control problem [105]. The require-
ments of safety and liveness are recast as constraints of the problem while minimising the
performance metrics. Collision-free and deadlock-free solutions are achieved by impos-
ing constraints on the motion trajectories of vehicles. In this approach, for each pair of
vehicles, it is required that the travel trajectories do not cross each other (safety require-
ment). In addition, each travel trajectory must enter and leave the common area of the
intersection in a finite time (liveness requirement). Examples of optimisation based strate-
gies can be found in [110–113]. In [110,111], the objectives of the minimisation was the
travel time and it was numerically proven that optimal-based CIMs can outperform inter-
sections controlled thought traffic lights, roundabouts and all-way stop control in terms
of fuel efficiency and travel time and for different road condition (dry, rainy and snowy). In [112] the target was to minimise the overlap of the vehicles position inside the inter-
section zone. Namely, the acceleration profiles of the vehicles were computed such that
only a limited number of vehicles are present inside the intersection at each time instant. Numerical results showed that optimal-based CIMs have the potential to reduce fuel con-
sumption with respect to intelligent traffic light, i.e. those where the timing depends on
the traffic queues behind the stop bar, especially for the case when traffic volumes exceed
the capacities of the roads. In [113], a multi-objective optimisation approach was used in
which the cost function included a term to penalise speed variation with respect to a speed
reference, and a term to penalise excessive acceleration/deceleration. 4. Intersection management It was numerically
proven that the optimal CIM was able to double the traffic flow compared to the case
where traffic lights were used for coordinating a four-way intersection. Although opti-
misation based approaches consider vehicle dynamics and physical constraints to assure
collision-free and deadlock-free solutions, the time to reach the optimal solution expo-
nentially increases with the number of conflict relationships among the vehicles [105,114]. For these reasons, the optimisation-based approach becomes numerically intractable for
real-time scenarios. To address the computation issues associated with optimisation-based
methods, in [114] authors have proposed a sub-optimal solution in which a controller cal-
culates the occupancy time interval (i.e. the optimal time instants that must be used by
each vehicle to safely enter and leave the intersection) based on shared information of traf-
fic vehicles. Then, based on the allocated time instances, each vehicle computes its own
optimal trajectory so that a local objective is minimised. The effectiveness of the method
to solve the intersection problem was demonstrated through simulations. Furthermore, a
set of 1000 simulations was analysed to assess the average time to solve the optimisation
problem with and without the proposed solution. Analysis of the simulation results showed
that the average time to solve the optimal control problem was about 10.14 s with a standard
deviation of 24 s. On the other hand, when the proposed method was applied, the average
computational time reduced to 0.043 s with a standard deviation of 0.022 s. Regarding sub-
optimality of the solution, numerical results showed that the approximated algorithm gave
results 20% less accurate than an optimal solution for about 85% of the random realisations. The aforementioned survey for intersection management showed that integration of V2X VEHICLE SYSTEM DYNAMICS 19 communication systems improved the performance of autonomous vehicles; however, the
level of achievable benefits depends on the case study, simulation scenario, type of inter-
section, etc., in both signalised and non-signalised intersections. Also, it depends on the
quality of communication signals in terms of packets loss, packet errors and latency. Contrary to the use-cases discussed in previous sections, the main focus of intersection
management is more towards accurate modelling of intersection area and traffic flow rather
than modelling the detailed motion of each vehicle at the intersection. Furthermore, the
primary concern for non-signalised intersections is to guarantee a collision-free path for
each vehicle while for signalised intersections, it is to reduce energy consumption. 4. Intersection management As a
result, vehicle models at different levels of abstraction are utilised for each problem and are
discussed in further detail below. For non-signalised intersections, where collision avoidance is the primary objective, it
is imperative to ascertain a vehicle’s position on the road with respect to time. Further-
more, as the subject vehicle can either maintain its lane or turn at the intersection, it is
important to employ vehicle models that capture both longitudinal and lateral motion of
the vehicle. For studies based on non-signalised intersections where the vehicles cross the
intersection without turning, point-mass vehicle models, which are similar to third-order
models discussed in Section 2, are most commonly used for this purpose as they provide a
reasonable approximation of the planar motion (no vertical motion) [92,107,111,113]. The
position, velocity and acceleration of the subject vehicle are the vehicle states used to con-
trol the vehicle on given portions of the road segment [105,112]. The road-load equation
of a vehicle to generate a state-space model of the vehicle is another technique proposed for
capturing the longitudinal dynamics of a vehicle. The application of this vehicle model is
demonstrated in [111]. Moreover, some studies also consider the possibility that the vehi-
cles can turn at the intersection and the researchers propose the use of kinematic bicycle
model as discussed in Section 3 to capture the non-holonomic motion of a vehicle with
sufficient accuracy [109]. fi
Signalised intersections pose a different challenge for vehicle modelling because of the
twin requirements of (i) optimising a vehicle’s velocity and acceleration to reduce time
spent waiting at the signal, and (ii) reducing the amount of energy consumed in successfully
navigating through a signalised intersection. Thus, vehicle models with simple dynamics to
capture longitudinal motion and its effect on fuel consumption are commonly employed by
researchers. The longitudinal motion of the vehicle is often modelled using the road load
equation with velocity and acceleration being the two states of the system, i.e. the second-
order model discussed in Section 2 [98,99,103,104]. Moreover, an optional third state of the
system is the energy consumption that is modelled as a function of the first two states which
is then used within the optimisation routines discussed above in this section to optimise
the velocity of the vehicle while minimising fuel consumption as part of a multi-objective
optimisation problem [96,97]. 5. Vehicle energy management The fuel consumption reduction was computed by considering the
fuel consumption obtained via the advisor following with respect to the baseline driving,
and the fuel consumption of the intelligent adaptive cruise control with respect to the advi-
sor following case. With respect to the baseline, the SAS improved fuel efficiency for the
highway driving from 10.6% to 14.4% (with an average gain of 12.6%), while in the case of
urban driving scenario, the fuel improvement was in the range of 8.1–20.9% with an aver-
age improvement of 12.5%. The analysis provided in [119] also shows that by combining
SAS with ACC, additional fuel reduction can be achieved. By removing the human variabil-
ity in following the advice speed, on average an additional 2% fuel reduction is obtained for
highway driving while an improvement of 6.3% can be achieved for urban driving. The SAS
proposed in [119] has been recently enhanced by IBM and Clemson University by includ-
ing traffic light information [120]. Furthermore, to tackle the computational complexity, a
parallel computing system was used as an off-board system to compute the global optimal
speed profile. The optimisation algorithm implemented by exploiting the parallel comput-
ing framework was denoted as FastVO (Fast Velocity Optimisation). The effectiveness of
the enhanced FastVO was also experimentally tested by the authors. The fuel consumption
of FastVO was compared with a global optimal solution proposed in [119] and a Predictive
Cruise Control (PCC) presented in [121]. It is important to point out that the global opti-
mal solution was also implemented in the off-board system but without taking advantage
of parallel computing and it does not consider the state of the traffic lights (in accordance
to [119]). In addition, when PCC is used, the vehicle receives the optimal speed profile as a
function of the traffic light ahead. This solution might be different from the global optimal
solution as the optimal velocity profile was computed only when the vehicle is sufficiently systems. These predictions, also known as preview information, can be then used for opti-
mising the vehicle speed or vehicle powertrain to minimise fuel consumption over the
entire trip [116]. Systems optimising the global vehicle speed trajectory are known in the
literature as Speed Advisory Systems (SAS). Global optimal speed advisory systems provide
the optimal speed profile over the entire trip, ideally for the entire source-destination route. 5. Vehicle energy management However, global optimal solutions are not easily tractable since the computational burden
increases exponentially with the number of states and control variables. This drawback is
known in optimisation literature as the curse of dimensionality [117,118]. In addition, as
the traffic on a road is highly dynamic and unpredictable, each vehicle needs to periodically
update its optimal velocity profile based on the current traffic condition. For these rea-
sons, the use of off-board computing for transportation systems has been proposed to assist
vehicles with computation of the optimal speed profile [119,120]. When this approach for
speed optimisation is adopted, each vehicle uploads its information, e.g. destination, cur-
rent velocity and position, to an off-board computing system which computes the optimal
velocity profile and sends it back to the vehicle. For example, in [119], a cloud-based system
was used as an off-board computing system. The system was tested experimentally both for
urban and highway scenarios. For both scenarios, three runs were considered : (i) the driver
drove using his normal driving style and the speed advisory system was turned-off (these
runs are referred to as baseline driving); (ii) the vehicle was connected to the cloud and
received the optimal speed profile but the driver was responsible for controlling the vehi-
cle to impose the optimal speed (these runs are referred to as advisor following); and (iii)
the vehicle was assumed to be connected and autonomous and the optimal speed profile
was imposed through an ACC system (in this paper, these runs are referred to as intelligent
adaptive cruise control). The fuel consumption reduction was computed by considering the
fuel consumption obtained via the advisor following with respect to the baseline driving,
and the fuel consumption of the intelligent adaptive cruise control with respect to the advi-
sor following case. With respect to the baseline, the SAS improved fuel efficiency for the
highway driving from 10.6% to 14.4% (with an average gain of 12.6%), while in the case of
urban driving scenario, the fuel improvement was in the range of 8.1–20.9% with an aver-
age improvement of 12.5%. The analysis provided in [119] also shows that by combining
SAS with ACC, additional fuel reduction can be achieved. By removing the human variabil-
ity in following the advice speed, on average an additional 2% fuel reduction is obtained for
highway driving while an improvement of 6.3% can be achieved for urban driving. 5. Vehicle energy management CAVs have the potential to increase fuel economy by operating vehicles engines in regions
with high efficiency which can result in a reduction of fuel consumption [115]. Communi-
cation channels can be exploited to provide partial or complete trip information augmented
with real time information (traffic condition and weather, etc.) to the on-board control U. MONTANARO ET AL. 20 systems. These predictions, also known as preview information, can be then used for opti-
mising the vehicle speed or vehicle powertrain to minimise fuel consumption over the
entire trip [116]. Systems optimising the global vehicle speed trajectory are known in the
literature as Speed Advisory Systems (SAS). Global optimal speed advisory systems provide
the optimal speed profile over the entire trip, ideally for the entire source-destination route. However, global optimal solutions are not easily tractable since the computational burden
increases exponentially with the number of states and control variables. This drawback is
known in optimisation literature as the curse of dimensionality [117,118]. In addition, as
the traffic on a road is highly dynamic and unpredictable, each vehicle needs to periodically
update its optimal velocity profile based on the current traffic condition. For these rea-
sons, the use of off-board computing for transportation systems has been proposed to assist
vehicles with computation of the optimal speed profile [119,120]. When this approach for
speed optimisation is adopted, each vehicle uploads its information, e.g. destination, cur-
rent velocity and position, to an off-board computing system which computes the optimal
velocity profile and sends it back to the vehicle. For example, in [119], a cloud-based system
was used as an off-board computing system. The system was tested experimentally both for
urban and highway scenarios. For both scenarios, three runs were considered : (i) the driver
drove using his normal driving style and the speed advisory system was turned-off (these
runs are referred to as baseline driving); (ii) the vehicle was connected to the cloud and
received the optimal speed profile but the driver was responsible for controlling the vehi-
cle to impose the optimal speed (these runs are referred to as advisor following); and (iii)
the vehicle was assumed to be connected and autonomous and the optimal speed profile
was imposed through an ACC system (in this paper, these runs are referred to as intelligent
adaptive cruise control). 5. Vehicle energy management The SAS
proposed in [119] has been recently enhanced by IBM and Clemson University by includ-
ing traffic light information [120]. Furthermore, to tackle the computational complexity, a
parallel computing system was used as an off-board system to compute the global optimal
speed profile. The optimisation algorithm implemented by exploiting the parallel comput-
ing framework was denoted as FastVO (Fast Velocity Optimisation). The effectiveness of
the enhanced FastVO was also experimentally tested by the authors. The fuel consumption
of FastVO was compared with a global optimal solution proposed in [119] and a Predictive
Cruise Control (PCC) presented in [121]. It is important to point out that the global opti-
mal solution was also implemented in the off-board system but without taking advantage
of parallel computing and it does not consider the state of the traffic lights (in accordance
t [119]) I
dditi
h
PCC i
d th
hi l
i
th
ti
l
d
fil 21 VEHICLE SYSTEM DYNAMICS 21 close to the traffic lights. In terms of fuel consumption, the outcome of the experimental
analysis showed that FastVO is always better than that of the global optimal solution and
the PCC strategy. In addition, the final fuel reduction of FastVO with respect to the global
optimal solution was about 32% while it was about 11% with respect to the PCC strategy. These experimental results can be explained as follows. As the solution in [119] does not
consider traffic lights, vehicles can stop at intersections, thereby reducing fuel economy. Consequently, the additional idling phases increases the fuel consumption compared with
the solution in [120]. When the PCC is used, the subject vehicle lacks the global informa-
tion, and it can only determine its own velocity profile according to the traffic light ahead
and hence cannot achieve a globally optimal solution. FastVO considers traffic lights and
achieves global optimal velocity profiles, thus producing the least fuel consumption. The
speed advisory system based on the use of off-board computing has been extended to a
platoon of vehicles to further increase fuel reduction in [122–124]. In [122], the optimal
platoon speed was selected as a trade-off among minimisation of the travel time, fuel con-
sumption and pollutant emissions. In addition to the speed, the authors adapted also the
time headway along a planned route in hilly terrain. 5. Vehicle energy management Numerical results showed that for a
homogenous platoon (all vehicle being equal) tight platoon formation is the optimal choice,
but when controlling a fleet of heterogeneous vehicles, the optimal spacing depends on the
road slope and the position of the vehicle in the string. Furthermore, it was shown that,
by optimising the platoon speed, the overall fuel consumption was reduced by about 10%
with respect to the case of vehicles driving alone with no platooning. In [124] the authors
assumed that information about the traffic state ahead can be broadcasted through V2X
communications systems. Platoons can then be informed in advance of the presence of
congestion along the road where the velocity must be reduced in accordance to the traffic
level. By including velocity information of the traffic ahead in the computation of the opti-
mal profile, it was shown by numerical simulation that a fuel reduction up to 80% could be
possible. p
It is expected that future autonomous vehicles will be either fully electric or hybrid-
electric which makes analysis of cooperative energy management developed for cur-
rent electric and hybrid electric vehicle important [125]. It is noted that in the case of
Hybrid Electric Vehicles (HEVs), efficiency highly depends on the strategy for determin-
ing the split of power request between the combustion engine and the electric machine
[126]. According to the technical literature [127], energy consumption of electric and
hybrid/electric vehicles depends on the state of charge (SoC) of the battery. Using this
variable, it is possible to optimise the power split ratio between power sources. When pre-
view knowledge of driving profile is known in advance, the SoC profile can be scheduled
in advanced through an off-line optimisation. However, these methods perform poorly
when the driving route conditions change due to variations in traffic conditions. This draw-
back can be overcome by connectivity as it provides access to real-time traffic data which
can be used to improve the prediction of future driving cycles. The opportunity to use
real-time traffic data gathered via V2X communications to reduce energy consumption
has recently been investigated for example in [128]. In this study, the average velocity of
traffic was provided to the subject vehicle as preview of the traffic situation ahead. 5. Vehicle energy management Based
on these data, the subject vehicle computed the optimal SoC profile and, then, the SoC
profile was used to optimise the power split with the aim of minimising energy consump-
tion. In this study, the preview information was provided to the optimisation algorithm as 22 U. MONTANARO ET AL. 22 (1) static traffic information where the vehicle obtained the traffic velocity information
only once at the beginning of the trip (i.e. the first generated SoC reference trajectory
was assumed to be relevant until the end of the trip) and (2) dynamic traffic informa-
tion where vehicle obtained the traffic velocity information periodically (every 300 s). The
energy consumption provided by the strategy was evaluated by considering a real-world
highway driving scenario based on collected traffic flow data from the Mobile Century
project [129]. To better point out the benefit in terms of achievable energy reduction, the
proposed controller was compared with a heuristic-based control algorithm (i.e. when no
traffic information is available). Simulation results showed that the static solution (i.e. algo-
rithms with static information) reduced the fuel consumption by 1.84% compared with a
heuristic-based method. The fuel reduction was 5% with the dynamic strategy (i.e. algo-
rithms with dynamic information). Numerical results confirmed that better fuel reduction
can be achieved by including traffic information during computation of the SoC pro-
file. Furthermore, the highly dynamic nature of the traffic must be considered to further
increase fuel economy. When traffic information is used to re-compute the optimal state of
charge trajectory, the fuel economy can more than double with respect to the static solution. It is remarked that, the use of traffic data to improve fuel efficiently of connected hybrid
vehicles has been documented also in some recent review papers on the energy manage-
ment of hybrid powertrains such as [130–132] and can be directly applied to CAVs with
hybrid or electric powertrains. Independently from the optimisation technique, the optimisation of vehicle’s fuel con-
sumption starts by defining vehicle models, consisting of its longitudinal vehicle dynamics,
engine and fuel consumption models. Usually, the longitudinal dynamics is modelled by
second-order systems as those discussed in Section 2 for the design of low-level controllers. 5. Vehicle energy management These models are obtained by applying Newton’s Second Law of motion to a vehicle, thus
establishing a relation among vehicle velocity, vehicle acceleration, vehicle’s tractive force
and all opposing forces acting on the vehicle, with the most significant being the aero-
dynamic drag, rolling resistance and the gravitational force. However, additional forces
can be considered to further improve model fidelity, e.g. the braking force provided by
the mechanical friction brakes, retarder or exhaust brakes [119,123] or estimated auxiliary
power losses coming from the clutch or drivetrain or other auxiliary devices [123]. Once
the longitudinal dynamics has been defined, it is possible to relate it to the engine speed
and torque; as the tractive force is a function of the engine torque, the gear ratio and the
gearbox efficiency. A gear shifting model or logic can also be added such as the work done
by [119] in order to schedule the gear shifting as well as to evaluate its feasibility in rela-
tion to the engine speed and torque and additional power loss sources such as those due
to engine, transmission and driveshaft rotational inertia [133]. Due to their highly nonlin-
ear nature and parameter variation of each vehicle, fuel consumption models are obtained
by interpolating experimental data. Usually they are expressed as functions of the engine
speed and torque maps. However, several approaches have been used for modelling the fuel
consumption functions. Linear functions with coefficients depending on the engine speed,
i.e. Willans line approximation models, have been designed in [134], while a piecewise con-
stant function has been proposed in [133] where the engine map was divided into sub-areas
with a fixed fuel consumption value assigned to each zone. Polynomials are also employed,
e.g. in [119], a third-order polynomial function with coefficients experimentally tuned was VEHICLE SYSTEM DYNAMICS 2 23 designed. Empirical models can also be exploited, such as the Virginia Tech Comprehen-
sive Power-Based Fuel Model (VT-CPFM) which claims to estimate fuel consumption rates
with actual field measurements with a 2% error [135]. It is noted that, if Dynamic Pro-
gramming (DP) or Model Predictive Control (MPC) are used to optimise fuel efficiency,
no specific advantages or disadvantages were noted among the fuel consumption models. 5. Vehicle energy management However, if the Pontryagin Maximum Principle (PMP) is adopted to compute the optimal
solution, the VT-CPFM has the advantage that the derivative of the fuel consumption with
respect to the engine torque still depends on that torque, thus preventing bangbang solu-
tions where the optimal control action switches between the maximum and the minimum
admissible control values [135]. Finally, the optimisation problem is completed by defining
the cost function based on the fuel consumption model and constraints such as maximum
accelerations and decelerations, speed limits and minimum inter-vehicular distances with
respect to the preceding vehicle, which are imposed to the longitudinal vehicle dynamics. A common method for minimising the cost function over the entire trip is the DP
algorithm. However, this method suffers from the aforementioned ‘curse of dimension-
ality’ which makes it difficult to consider the motion of the surrounding vehicles in real
time, e.g. in terms of time headway with respect to the vehicle in front. Alternatively, if pre-
dictions of the accelerations of the vehicle ahead are available over a given time horizon,
e.g. through V2X links, it is possible to use models of the longitudinal vehicle dynam-
ics in Section 2 to predict its motion. The prediction of the preceding vehicle motion is
then included in the optimisation of the fuel consumption of the subject vehicle as colli-
sion avoidance constraints, and MPC techniques are used to find the optimal solution over
the given time horizon. However, optimisation methods that consider also the dynam-
ics of the surrounding vehicles cannot be used for searching global optimal solutions that
extend over the entire trip. They can be exploited only over a limited time horizon where
prediction of the traffic motion is valid. fi
To overcome the aforementioned drawbacks, recently the authors in [134,136] have
focused on the design of two stages optimisation strategies which can use vehicle models
with different level of accuracy for each optimisation layer. The upper level optimises the
global vehicle’s speed profile. To reduce the computational complexity in this layer simpli-
fied longitudinal vehicle dynamics and fuel consumption models are used and other road
participants are not considered. Then, the low-level optimiser locally adjusts the velocity
profile received by the upper level over time horizons where predictions of the motion of
the surrounding vehicles are available with the aim to further optimise fuel consumption
while preserving road safety. 6. Road friction estimation Autonomous vehicles are equipped with various safety systems where their precise acti-
vation is highly depended on an accurate knowledge of road friction conditions (which
depends on the road surface type and prevailing weather conditions). Autonomous vehi-
cles can use several techniques involving on-board sensors, ranging from optical, acoustic,
camera to tyre sensors and/or data fusion methods, to estimate the road friction. However,
critical reviews, such as those reported in [137,138], have pointed out that each technique
has a limited estimation accuracy due to external noises, input frequencies, system models
etc.. Furthermore, the current techniques available to autonomous vehicles estimate the
instantaneous road friction coefficient and are not capable of estimating upcoming road
conditions. This drawback can be mitigated if vehicles on a road segment can share their
knowledge of the road condition. CAVs have the potential of improving the accuracy of
the estimation as well as providing preview information of the upcoming road segment
condition via cooperative road friction estimations enabled by V2X comunications. The
general idea behind cooperative estimation is that every vehicle on a road section can act
as a potential but imprecise sensor of road condition. Using communication systems, the
road friction condition sensed by a group of vehicles on a road section can be shared and
combined through data fusion algorithms to reduce the uncertainty of the estimate and
increase its accuracy. Furthermore, a cooperative estimate might be stored and then dis-
tributed to multiple vehicles. Consequently, cooperation among vehicles based on V2X
communication allows (in principle) a solution to the main drawbacks of current esti-
mation methods and their application in safety systems for autonomous vehicles [139]. Moreover, conventional vehicles, which are not equipped with any road friction estimation
system, can benefit from an anticipated knowledge of the road friction condition as drivers
can change in advance their driving style to prevent emergency situations. For instance,
V2X communications have been used by Volvo to design a system for warning vehicles
about the presence of slippery spots on roads [140]. A fleet of vehicles is used to monitor
the state of the road and the presence of hazardous conditions, e.g. presence of icy patches,
is detected and distributed through a communication network to other road users as warn-
ings. An example of cooperative estimation of the road friction condition was proposed in
[141]. 5. Vehicle energy management It is noted that the lower layer can exploit more detailed mod-
els of the vehicle, engine and fuel consumption by considering, for instance, power losses
due to the clutch, drivetrain and engine pumping losses. Moreover, the reduction of the
drag force acting on the longitudinal vehicle dynamics while driving with reduced inter-
vehicular distances can also be modelled in the low-level optimisation stage to increase
the fidelity of the vehicle dynamics and the accuracy of the optimisation. It is noted that
the two-stage optimisation methods are particularly suitable in a V2X environment sup-
ported by cloud computing where the cloud can be used for the upper optimisation stage
while road side units, which collect real-time information of the positon and velocity of
CAVs, can host the lower layer of the optimisation technique. Cloud assisted solutions for
cooperative driving applications are also currently under investigation within the CARMA
project [15]. 24
U. MONTANARO ET AL. U. MONTANARO ET AL. 6. Road friction estimation The idea behind the method is that vehicles travelling through the same road section
will experience similar road conditions. Hence, when any vehicle traverses the road, its esti-
mation can be collected and fused to the estimations calculated by vehicles passing over
the same road segment to create a common and better hypothesis of the road condition. To achieve a common estimation of the road condition, the following assumptions were
made: (i) the road friction coefficients are modelled as a random variable normally dis-
tributed with an unknown mean and known bounded variance, (ii) each vehicle travelling
through the road section is equipped with a system for estimating the road friction coef-
ficient and (iii) the instantaneous estimation of the road friction for each vehicle is also
normally distributed and the upper bound for its variance is known. The road friction was
modelled as a random variable to consider possible variations of this coefficient from one
vehicle to another due to different types of vehicles. The authors proposed to estimate a
lower bound of the friction condition such that the road friction coefficient experienced
by each vehicle is above this bound with a given probability. The authors pointed out that VEHICLE SYSTEM DYNAMICS 2 25 number of participating vehicles and therefore the proportion of connected vehicles. For
instance, in the case of traffic flow of 2000 vehicle/h with 10% of the vehicle participating
in the common estimation process, about 13 minutes are required to re-establish a satis-
factory estimation of the road condition after a sudden drop in road friction. However,
a detailed analysis of converge time of the proposed algorithm in different mixing traffic
scenarios is missing. Furthermore, authors did not specify the on-board road friction esti-
mator for the implementation of the cooperative fusion technique. However, to meet the
requirement of normally distributed on-board estimates, Kalman-based data fusion meth-
ods can be exploited as they guarantee that the estimation error is a Gaussian, i.e. normal,
random variable. Consequently, several algorithms available in the literature, such as those
presented in [142–146] can be adopted for implementing the cooperative strategy in [141]. Usually, when Kalman strategy are used, the road friction coefficient is estimated together
with other measures for vehicle dynamics such as vehicle side-slip angle, wheel sideslip
angles and wheel slip ratios, and forces acting on tyres. 6. Road friction estimation Consequently, more detailed vehi-
cle models compared to those discussed in Sections 2 and 3 are designed for reproducing
the vehicle motion while capturing tyre dynamics. For instance, in [143], the second-order
nonlinear longitudinal vehicle model discussed in Section 2 is augmented with the dynam-
ics of the wheels, i.e. the wheel’s angular velocity and the wheel’s longitudinal slip, which
in turn provide the longitudinal tyre force in accordance to the Pacejka model. Moreover,
detailed lateral vehicle dynamics for the road friction estimation via Kaman filtering strate-
gies has been considered in [142,144–146]. In these works four wheel vehicle models have
been designed to capture the dynamics of the yaw rate, lateral forces acting on the wheels,
sideslip angles and slip ratios of the wheels, thus providing a more detailed description of
the vehicle behaviour compared to that given by bicycle vehicle models discussed for lane
change in Section 3. As another example, an approach to cooperatively estimating road friction was pre-
sented in [147,148]. The idea is to increase the precision of the estimation of the road
friction coefficient available to a given fleet of vehicles that can exchange information
by exploiting V2V communication channels. In the proposed framework, each vehicle
in the fleet runs a dual-rate estimation scheme composed of (i) a low-level individual
vehicle dynamics based estimation scheme, and (ii) an upper-level cooperative estima-
tion scheme. The low-level individual parameter identification algorithm generates the
individual high-rate estimate by using a dynamic model of the tyres and velocity-based
signals. The upper-level cooperative estimation scheme is fed periodically by the individ-
ual high-rate crude estimates, and it is used to converge to a common estimate among
the vehicles. It is noted that, a longitudinal slip-based road friction estimation method
was used as the low-level estimation system. As required by this estimation technique,
a regression model of the longitudinal vehicle slips and longitudinal tyre forces, which
is linear in the friction coefficient, was found and exploited to design a Least-Square
(LS) identification strategy (the reader is referred to [138] for an overview of longitudi-
nal and lateral slip-based road friction estimation methods). It is noted that, compared
to Kalman filter methods, the design of slip-based strategies require less detailed vehicle
dynamic models as they only focus on the estimation of the road friction coefficient rather
than the entire vehicle state. 6. Road friction estimation So
far, it is expected that the spread is not very significant, therefore, the cooperative methods
can provide at least some general warning of possible danger on the road ahead [151,152]. However, besides tyre-road friction also the hydroplaning phenomenon should be consid-
ered. Hydroplaning might be observed as very low friction, but it is a different physical
phenomenon and it strongly depends on velocity, tread depth and vehicle weight. Conse-
quently larger differences might occur between vehicles in hydroplaning cases. Therefore
ideally, besides a friction number also the road condition should be estimated and commu-
nicated between vehicles. Hence, the question of understanding if cooperative estimation
of road friction is beneficial for autonomous driving scenarios is still open. As a possi-
ble approach for creating a cooperative estimate of road condition for a fleet of vehicles
with large difference in the tyre-road friction coefficients is to augment the information
available to on-board vehicle dynamics based estimation systems with environmental sen-
sors data gathered by the fleet. Environmental sensors, such as cameras, optical and radio
frequency-based sensors utilise changes in the signal reflectance, polarisation and absorp-
tion properties caused by the road surface. For instance, optical sensors can sense if a road
is slippery by analysing how beams of light are scattered and absorbed by the road surface,
while cameras can discern the road type based on pixel luminance levels. The advantage
of using environmental sensors is that in principle they might provide an estimate of the
road condition independently from the tyre condition and vehicle motion (e.g. they work
also for stationary vehicles). Consequently, data gathered from a fleet of vehicles can be The effectiveness of the cooperative method in [147,148] to improve the estimation of
the road friction coefficient provided by slip-based identification tecniques was proven
numerically where a fleet of five vehicles was considered. A numerical investigation for
different road conditions revealed that the proposed cooperative estimation can enhance
the estimation of the road friction coefficient by up to 34% with respect to the case the
slip-based identificaiton method is performed by each vehicle individually and without any
shared information. Furthermore, as a case study, a cooperative algorithm was employed by
a collision avoidance controller to generate feasible longitudinal and lateral vehicle acceler-
ations. The controller was then numerically tested for a scenario where the subject vehicle
had to avoid two consecutive fixed obstacles. 6. Road friction estimation For this scenario, numerical results showed
that an accurate estimation of the road friction coefficient was fundamental to avoid col-
lisions for slippery roads. It was shown that when the low-level estimation method was
used without any correction, the estimation error during the evasive manoeuvre was about
10%, but this accuracy was not sufficient to avoid a collision. On the other hand, when a
cooperative approach was exploited, the residual estimation error was smaller than 3% and
the vehicle could successfully perform the evasive manoeuvre. Thus, the literature exists
with some attempts to cooperatively estimate the road friction coefficient for autonomous
vehicles which are supported by promising numerical results. However, no experimental
evidence of the effectiveness of these cooperative schemes has been provided to the best
of the authors’ knowledges. Furthermore, it is noted that the tyre-road friction not only
depends on road conditions but also on tyre conditions. It might be interesting to see how
much the tyre-road friction coefficient varies for a variety of tyres and vehicles [150]. So
far, it is expected that the spread is not very significant, therefore, the cooperative methods
can provide at least some general warning of possible danger on the road ahead [151,152]. However, besides tyre-road friction also the hydroplaning phenomenon should be consid-
ered. Hydroplaning might be observed as very low friction, but it is a different physical
phenomenon and it strongly depends on velocity, tread depth and vehicle weight. Conse-
quently larger differences might occur between vehicles in hydroplaning cases. Therefore
ideally, besides a friction number also the road condition should be estimated and commu-
nicated between vehicles. Hence, the question of understanding if cooperative estimation
of road friction is beneficial for autonomous driving scenarios is still open. As a possi-
ble approach for creating a cooperative estimate of road condition for a fleet of vehicles
with large difference in the tyre-road friction coefficients is to augment the information
available to on-board vehicle dynamics based estimation systems with environmental sen-
sors data gathered by the fleet. Environmental sensors, such as cameras, optical and radio
frequency-based sensors utilise changes in the signal reflectance, polarisation and absorp-
tion properties caused by the road surface. For instance, optical sensors can sense if a road
is slippery by analysing how beams of light are scattered and absorbed by the road surface,
while cameras can discern the road type based on pixel luminance levels. 6. Road friction estimation However, the estimation accuracy depends on the amplitude
and the frequency spectrum of the vehicle slips. For instance, the accuracy reduces for
small values of the slips when the amplitude of measurement noise of wheel-speed sensors U. MONTANARO ET AL. 26 become comparable to the slip values [149]. Furthermore, LS methods might fail in case
the variability of the vehicle slip profiles is not large enough (i.e. when vehicle slip pro-
files do not verify persistent excitation conditions) thus preventing the convergence of the
LS-algorithms [147]. LS algorithms [147]. The effectiveness of the cooperative method in [147,148] to improve the estimation of
the road friction coefficient provided by slip-based identification tecniques was proven
numerically where a fleet of five vehicles was considered. A numerical investigation for
different road conditions revealed that the proposed cooperative estimation can enhance
the estimation of the road friction coefficient by up to 34% with respect to the case the
slip-based identificaiton method is performed by each vehicle individually and without any
shared information. Furthermore, as a case study, a cooperative algorithm was employed by
a collision avoidance controller to generate feasible longitudinal and lateral vehicle acceler-
ations. The controller was then numerically tested for a scenario where the subject vehicle
had to avoid two consecutive fixed obstacles. For this scenario, numerical results showed
that an accurate estimation of the road friction coefficient was fundamental to avoid col-
lisions for slippery roads. It was shown that when the low-level estimation method was
used without any correction, the estimation error during the evasive manoeuvre was about
10%, but this accuracy was not sufficient to avoid a collision. On the other hand, when a
cooperative approach was exploited, the residual estimation error was smaller than 3% and
the vehicle could successfully perform the evasive manoeuvre. Thus, the literature exists
with some attempts to cooperatively estimate the road friction coefficient for autonomous
vehicles which are supported by promising numerical results. However, no experimental
evidence of the effectiveness of these cooperative schemes has been provided to the best
of the authors’ knowledges. Furthermore, it is noted that the tyre-road friction not only
depends on road conditions but also on tyre conditions. It might be interesting to see how
much the tyre-road friction coefficient varies for a variety of tyres and vehicles [150]. 6. Road friction estimation The advantage
of using environmental sensors is that in principle they might provide an estimate of the
road condition independently from the tyre condition and vehicle motion (e.g. they work
also for stationary vehicles). Consequently, data gathered from a fleet of vehicles can be 27 VEHICLE SYSTEM DYNAMICS 27 cooperatively fused and become then the input of machine learning algorithms to provide
a preliminary common hypothesis on the road friction level and road condition. How-
ever, as environmental based sensors capture only road features without considering tyre
dynamics, the common estimates must be further adjusted for each vehicle in the fleet with
on-board sensor data to create an individual and customised estimation of the friction level. For instance, if slip-based methods are locally used, the cooperative estimate can become
the initial guess of LS algorithms to improve their convergence, while if Kalman-based
methods are exploited, the cooperative hypothesis on the road condition can be considered
as the output of a noisy sensor of the road friction coefficient to be fused together with other
on-board measurements to reduce its uncertainty. Furthermore, each vehicle might store a
database containing time histories of the local friction estimate, on-board sensor readings
(e.g. tyre slips and estimate tyre forces), cooperative friction estimates and environmental
readings. This friction database can then be used to train machine learning techniques to
predict the road friction of the upcoming road section based on the environmental sensor
data of CAVs travelling on the next road segment. It is noted that the possibility of merg-
ing on-board and environmental sensor data together has been investigated for instance
in [149] within the European project FRICTION. In this project, information from optical
sensors, camera, tyre-sensors is fused together with the road friction estimates provided by
vehicle dynamics based methods with the aim of improving the estimation accuracy. The
practical benefit of an improved friction estimation was then demonstrated for the case of
collision mitigation systems. On the other hand, the authors in [153] have recently pro-
posed a machine learning-based method which uses environmental sensor data for road
friction predictions from a fleet of connected vehicles. The problem was formulated as a
classification task to predict the friction class (slippery or non-slippery) for a sequence of
road sections. However, the output of the classifier was used only for warning and its use for
CAVs applications in adverse conditions was not investigated. 6. Road friction estimation Hence, additional research
towards the merging of approaches such as those presented in [149,153] are expected in
the near future. 7. Conclusion In this paper, five use-cases have been analysed with the aim investigating the potential ben-
efits and associated limitations of connected autonomous vehicles which leverage off-board
vehicle data obtained through communication channels. The use-cases analysed cover dif-
ferent areas of connected autonomous vehicles and common features of these use-cases are
drawn below: • V2X channels can broaden the sensory horizon of autonomous vehicles by provid-
ing additional off-board information (vehicles and features beyond the line of sight,
timing of traffic lights, preview of road friction coefficient, etc.). However, the achiev-
able benefits in terms of traffic safety, fuel efficiency and traffic flow in a connected
environment depend on how this additional information is used by a vehicles control
system. Therefore, control algorithms play a pivotal role in intelligently utilising V2X
channels. • In addition to a vehicle’s internal states, off-board information (e.g. traffic light timing
and velocity of traffic ahead) can help improve energy efficiency. Furthermore, it has • In addition to a vehicle’s internal states, off-board information (e.g. traffic light timing
and velocity of traffic ahead) can help improve energy efficiency. Furthermore, it has U. MONTANARO ET AL. 28 been shown that fuel reduction can also be achieved by performing manoeuvres cooper-
atively. For instance, in the case of non-signalised intersections, vehicles can collaborate
to ensure collision avoidance. In addition, cooperation also reduces the stationary wait
times at signalised and non-signalised intersections which helps in reduction of fuel
consumption. Similarly, cooperative techniques to equalise the velocities of vehicles over
a road segment remove excessive accelerations/decelerations which result in an increase
in the global fuel efficiency. fi
• In the case of a mixed scenario (of cooperative and non-cooperative vehicles), achiev-
able benefits through cooperation not only depend on the control/estimation algo-
rithms, but also on the penetration rate and the traffic scenario (e.g. traffic density,
numbers of lane, etc.). In addition, human-driven vehicles can also benefit from the
presence of connected autonomous vehicles (for instance, in terms of fuel reduction). Such additional benefit is due to the intrinsic cooperation among vehicles that share the
same road section.i • Although results discussed throughout the paper confirm that connected autonomous
vehicles have the potential to improve traffic safety, fuel efficiency and traffic flow, most
of the results have been obtained through simulation under assumptions that might
be not completely fulfilled in a real environment, e.g. Notes 1. Subject vehicle refers to the autonomous vehicle, performing a given task or manoeuver, e.g. a
lane change, crossing an intersection, cooperative driving in a platoon, etc.i 1. Subject vehicle refers to the autonomous vehicle, performing a given task or manoeuver, e.g. a
lane change, crossing an intersection, cooperative driving in a platoon, etc. g
g
g
2. A communication network topology is defined as the connectivity structure of the vehicu-
lar network [41], i.e. the pattern in which vehicles are connected in the platoon via wireless
communications. 2. A communication network topology is defined as the connectivity structure of the vehicu-
lar network [41], i.e. the pattern in which vehicles are connected in the platoon via wireless
communications. 3. The topology is said to be bidirectional when each platoon vehicle gets information only from
the predecessor vehicle and the follower vehicle (see also Figure 1(b)). 3. The topology is said to be bidirectional when each platoon vehicle gets information only from
the predecessor vehicle and the follower vehicle (see also Figure 1(b)). Disclosure statement No potential conflict of interest was reported by the authors. VEHICLE SYSTEM DYNAMICS
29 29 Funding This work was supported by Jaguar Land Rover and the UK-EPSRC [grant number EP/N01300X/1]
as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Pro-
gramme. ORCID Umberto Montanaro
http://orcid.org/0000-0003-0620-1906
Shilp Dixit
http://orcid.org/0000-0001-9378-442X 7. Conclusion (i) ideal working conditions of
the communication channel (e.g. no packet loss, communication failure, noise, etc.),
(ii) perfect knowledge of vehicle dynamics (vehicle parameters, road friction condition,
etc.), (iii) perfect knowledge of the positions of the vehicles. Hence, additional investiga-
tion is required to understand how the aforementioned uncertainties affect cooperating
driving scenarios. Although beyond the scope of the paper, it is noted that, from a computer sci-
ence perspective, cybersecurity is an active research area for connected autonomous
vehicles. Information shared among CAVs in cooperative driving scenarios must be
protected from cyber-attacks to guarantee road safety and privacy of CAVs and other
road users. The ongoing research on CAVs as cooperative mobile computing systems
focuses to identify the cyber threats and to design strategies for preventing dam-
ages caused by such cyber-attacks. Cyber threats and attacks studied in the literature
include: (a) impersonation attack (the attacker pretends to be a legitimate vehicle
with the aim to send false messages); (b) message spoofing (the attacker sends false
messages to spread wrong information in the network); (c) spamming attack (use-
less messages are spread to increase the transmission latency and bandwidth usage);
(d) sybil attack (the attacker pretends to have multiple identities and act as if it were
a large fleet of CAVs) and (e) message tampering (the attacker aims to drop, mod-
ify or corrupt the messages sent by legitimate vehicles to prevent other vehicles to
know the original data). Requirements for cybersecurity solutions for improving trust-
worthiness of information source ranges from (i) authentication (vehicles must use
messages transmitted only by legitimate network), (ii) non-repudiation (if required
a sender must not deny a transmission of a message), to (iii) integrity (received
messages are the same as the original messages and they have not been altered dur-
ing the transmission). The reader is referred to recent surveys on cybersecurity for
CAVs [154–157] available in the computer science literature on mobile computing
for a detailed and comprehensive analysis of the cyber threats and the corresponding
solutions. VEHICLE SYSTEM DYNAMICS
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Gender Differences in Diabetic Kidney Disease: Focus on Hormonal, Genetic and Clinical Factors
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International Journal of
Molecular Sciences
Review
Gender Differences in Diabetic Kidney Disease: Focus on
Hormonal, Genetic and Clinical Factors
Annalisa Giandalia 1 , Alfio Edoardo Giuffrida 2 , Guido Gembillo 2,3 , Domenico Cucinotta 1 ,
Giovanni Squadrito 1 , Domenico Santoro 2 and Giuseppina T. Russo 1, *
1
2
3
*
Citation: Giandalia, A.; Giuffrida,
A.E.; Gembillo, G.; Cucinotta, D.;
Squadrito, G.; Santoro, D.; Russo, G.T.
Gender Differences in Diabetic
Kidney Disease: Focus on Hormonal,
Genetic and Clinical Factors. Int. J.
Mol. Sci. 2021, 22, 5808. https://
doi.org/10.3390/ijms22115808
Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy;
agiandalia@yahoo.it (A.G.); domenico.cucinotta@unime.it (D.C.); giovanni.squadrito@unime.it (G.S.)
Unit of Nephrology and Dialysis, Department of Clinical and Experimental Medicine, University of Messina,
98125 Messina, Italy; alfiogiuffrida91@libero.it (A.E.G.); guidogembillo@live.it (G.G.);
domenico.santoro@unime.it (D.S.)
Department of Biomedical, Dental, Morphological and Functional Imaging Sciences, University of Messina,
98125 Messina, Italy
Correspondence: giuseppina.russo@unime.it
Abstract: Diabetic kidney disease (DKD) is one of the most serious complications of both type
1 (T1DM) and type 2 diabetes mellitus (T2DM). Current guidelines recommend a personalized
approach in order to reduce the burden of DM and its complications. Recognizing sex and genderdifferences in medicine is considered one of the first steps toward personalized medicine, but the
gender issue in DM has been scarcely explored so far. Gender differences have been reported in
the incidence and the prevalence of DKD, in its phenotypes and clinical manifestations, as well
as in several risk factors, with a different impact in the two genders. Hormonal factors, especially
estrogen loss, play a significant role in explaining these differences. Additionally, the impact of sex
chromosomes as well as the influence of gene–sex interactions with several susceptibility genes for
DKD have been investigated. In spite of the increasing evidence that sex and gender should be
included in the evaluation of DKD, several open issues remain uncovered, including the potentially
different effects of newly recommended drugs, such as SGLT2i and GLP1Ras. This narrative review
explored current evidence on sex/gender differences in DKD, taking into account hormonal, genetic
and clinical factors.
Academic Editors: Kyoichiro
Tsuchiya and Lisa M.
Keywords: gender; sex; diabetic kidney disease; estrogens; gene polymorphisms
Harrison-Bernard
Received: 12 April 2021
Accepted: 25 May 2021
1. Introduction
Published: 28 May 2021
Diabetic kidney disease (DKD) is one of the most common microvascular complication
of diabetes mellitus (DM), affecting ~30% of subjects with type 1 (T1DM) and ~40% of
those with type 2 (T2DM) [1].
DKD is diagnosed according to the presence of albuminuria, reduced estimated
glomerular filtration rate (eGFR), or both [2].
In the last few decades, research on DKD has witnessed enormous activity, a revolution encompassing epidemiology, diagnosis, clinical manifestations, risk factors and
treatment options [3]. It has become clear that while in T1DM individuals, the natural
history of DKD progresses from microalbuminuria, the first sign of renal impairment, to
macroalbuminuria, and eventually to the decline of GFR toward end stage renal disease
(ESRD), the path in T2DM is more heterogeneous. Thus, T2DM patients may present with
impaired eGFR even only a few years after diagnosis, and they may progress to ESRD
without ever developing albuminuria [4]. Accordingly, the recent advances in DKD’s
pathophysiological and clinical aspects have prompted the use of the term “DKD” to
include all types of renal injury occurring in diabetic individuals: the classical albuminuric
phenotype, the “nonalbuminuric renal impairment” and the “progressive renal decline” [5].
Publisher’s Note: MDPI stays neutral
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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/).
Int. J. Mol. Sci. 2021, 22, 5808. https://doi.org/10.3390/ijms22115808
https://www.mdpi.com/journal/ijms
Int. J. Mol. Sci. 2021, 22, 5808
2 of 24
These advances have been highlighted in a joint document of the Italian Diabetes Society
(SID) and the Italian Society of Nephrology (SIN), providing an extensive review of the
available evidence as well as updated treatment recommendations [5].
However, whether these phenotypes and their evolution and/or management have
the same course in DM men and women is still a matter of debate.
Considering sex- and gender-specific aspects is one of the first and simpler step
toward personalized and patient-centered care also in the management of DM and its
complications. Gender medicine analyzes the differences between men and women in
human physiology, pathophysiology, and the clinical features of diseases, specifically
evaluating the impact of sex as a biological and functional marker, and that of gender,
which refers to a complex interrelation and integration of sex with psychological, social,
ethnical and cultural behavior. Despite over 20 years of gender medicine and the insistent
recommendations of scientific societies and research institutions [6], sex-based differences
in biology, genetics, biomedical and clinical aspects of major diseases, including DM and
its complications, are still poorly explored so far, a gap that may impair the efficacy of our
diagnostic and therapeutic efforts, ultimately exposing patients to unwanted outcomes [7].
In this review, we explored potential sex- and gender-based differences in DKD prevalence and evolution, risk factors, clinical manifestations and treatment options, including
the role of hormonal and genetic factors.
2. Gender Differences in the Prevalence of DKD and its Phenotypes
Gender-related differences have been reported in non-diabetic chronic kidney disease
(CKD) [8]. Overall, CKD seems to have a higher prevalence in women than in men [9–11].
However, a review including a large number of studies found 38 studies reporting a higher
CKD prevalence in women and 13 among men [12]. On the contrary, the risk of progression
to ESRD appears to be higher among males [13,14]. A recent analysis from the nationwide
Swedish Renal Registry-CKD (SRR-CKD), showed that among adult patients with incident
CKD stage G3b-5, women had a lower risk of CKD progression (sub hazard ratio [SHR]
0.88 (0.85–0.92)), and a lower all-cause (SHR 0.90, 95% CI 0.85–0.94) and cardiovascular
mortality (SHR 0.83, 95% CI 0.76–0.90), compared to men [15]. Accordingly, a large metaanalysis confirmed a more rapid decline in men than in women with non-diabetic CKD [16].
Women live longer than men and age and post-menopausal status appear to modify the
association between sex and nondiabetic kidney disease [17]; in this regard, Jafar et al.
reported that old post-menopausal women had a faster renal progression compared to
age-matched men [18].
How CKD is defined may also play a relevant role in determining the effect of gender
on CKD incidence and progression risk. Thus, when using eGFR-based definitions of CKD,
the incidence of CKD was significantly higher in women than men [19].
In cohorts of DM subjects, several large epidemiological studies have explored sex
differences in the prevalence of DKD and its phenotypes, specifically evaluating low eGFR,
micro- or macroalbuminuria or both (Table 1). Studies performing a separate gender
analysis varied in design, sample size, type of diabetes, length of follow-up, and how DKD
was reported, as shown in Table 1 [13,20–58] and in two recently published reviews [59,60].
Int. J. Mol. Sci. 2021, 22, 5808
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Table 1. Sex/gender differences in DKD phenotypes.
Sex Specific
Association
Reference
Ethnic Group
Study Design
MAU
Low eGFR
Gall, 1997 [20]
Denmark
Prospective
Lewis J, 2001 [21]
Multi-ethnic
Intervention study
Keane WF, 2003 [22]
Multi-ethnic
Intervention study
Female
Rossing K, 2004 [23]
Denmark
Prospective
Both sexes
ESRD
Male
Higher risk
NR
NR
Female
Higher risk
NR
NR
Higher risk
Higher risk
Higher risk
NR
Higher risk
Higher risk
NR
Studies on T2DM subjects
Retkaran, 2006 [24]
UK
Prospective
Male/Female
Higher risk male
Higher risk female
Penno, 2011 [25]
Italy
Cross-sectional
Male/Female
Higher risk male
Higher risk female
NR
Yu M, 2012 [26]
USA
Cross-sectional
Male/Female
Higher risk male
Higher risk male
Higher risk female
Jardine, 2012 [27]
UK
Intervention study
Male
NR
NR
Higher risk
Zoppini, 2012 [28]
Italy
Prospective
Both sexes
NR
Higher risk
NR
Altemtan,2012 [29]
UK
Retrospective
Both sexes
NR
Higher risk
NR
Elley, 2013 [30]
New Zealand
Nationwide cohort
Female
NR
NR
Higher risk
de Hautecloque 2014 [31]
France
Prospective
Male
NR
Higher risk
Higher risk
Kaiwara 2016 [32]
Japan
Prospective
Female
NR
Higher risk
NR
Male
Higher risk
NR
NR
Studies on T1DM subjects
Orchard, 1990 [33]
US
Prospective
Lovshin, 1990 [34]
US
Cross-sectional
Male
Higher risk
NR
NR
Holl, 1999 [35]
Germany
Retrospective
Female
Higher risk
NR
NR
Jacobsen, 1999 [36]
Denmark
Prospective
Male
NR
Higher risk
NR
Rossing, 2002 [37]
Denmark
Prospective
Both sexes
Higher risk
NR
NR
Zhang, 2003 [38]
US
Prospective
Male
Higher risk
NR
NR
Hovind, 2004 [39]
Denmark
Prospective
Male
Higher risk
NR
NR
Finne, 2005 [40]
Finland
Register
Male
NR
NR
Higher risk
Sibley, 2006 [41]
US
Prospective
Male
Higher risk
NR
NR
RAile, 2007 [42]
Germany
Prospective
Male
Higher risk
NR
NR
Monti, 2007 [43]
US
Cross-sectional
Both sexes
Higher risk
Higher risk
NR
Mollsten, 2010 [44]
Sweden
Population
Male
NR
NR
Higher risk
Costacou, 2011 [45]
US
Prospective
Male 1950-1964
Higher risk
NR
Higher risk
Costacou, 2011 [45]
US
Prospective
Female1965-1980
Higher risk
NR
Higher risk
Harjutsalo, 2011 [46]
Finland
Prospective
Male
NR
NR
Higher risk
Kautzy-Willer 2013 [47]
Austria
Cross-sectional
both sexes
Higher risk
Higher risk
NR
Skupien, 2019 [48]
Multi-ethnic
Prospective
Male
NR
NR
Higher risk
Studies including T1DM/T2DM subjects
Dick, 1994 [49]
Canada
Prospective
Female
NR
NR
Higher risk
Xue, 2007 [51]
USA
Prospective
Female
NR
NR
Higher risk
Yamagotha, 2007 [52]
Japan
Prospective
Male
Higher risk
Both sexes
NR
Hippsley-Cox,2010 [53]
UK
Registrative data
Female
NR
Both sexes
Higher risk
Hoffman F, 2011 [54]
Germany
Claims data
Female
NR
NR
Higher risk
Johnson, 2011 [55]
USA
Retrospective
Male
NR
NR
Higher risk
Tohidi, 2012 [56]
Iran
Prospective
Female
NR
Higher risk
NR
Kei, 2013 [57]
Japan
Prospective
Both sexes
Higher risk
NR
NR
van Blijderveen, 2014 [58]
Netherlands
Retrospective
Male/Female
Higher risk
Male
Both sexes
Higher risk Female
Haroun, 2003 [50]
USA
Prospective
Female
NR
NR
Higher risk F
Ricardo,2018 [13]
USA
Prospective
Male
Higher risk Male
Both sexes
Higher risk Male
Abbreviations: DKD, diabetic kidney disease; eGFR, estimated glomerular filtration rate; MAU, micro/macroalbuminuria; ESRD, End
stage renal disease; T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus; NR, sex/gender differences not reported.
A recent meta-analysis of 10 studies including data from >5 million subjects evaluated
the relative effect of diabetes on CKD and ESRD in women compared with men. The
pooled adjusted risk ratio of DKD was 3.34 (95 % CI 2.27, 4.93) in women and 2.84 (95 %
Int. J. Mol. Sci. 2021, 22, 5808
4 of 24
CI 1.73, 4.68) in men, without any difference in diabetes-related risk of DKD, with the
exception of ESRD [61]. Furthermore, in the SURDIAGENE study, survival without ESRD
was higher in T2DM women than in men, who showed an higher risk of steeper eGFR
decline [31].
Among the studies that evaluated DKD phenotypes specifically in T2DM cohorts,
the UK Prospective Diabetes Study 74 (UKPDS) found that T2DM men had a higher
risk of microalbuminuria, while T2DM women were at higher risk of developing low
eGFR (<60 mL/min/1.73 m2 ) [24]. Similarly, a population study from UK showed a higher
prevalence of impaired eGFR in DM women compared to men [62], and a higher prevalence
of the non-albuminuric phenotype among T2DM women was also reported in the large
cohort from the RIACE study, in Italy [63]
Age may impact the associations among T2DM, gender and DKD risk. In T2DM
patients, the prevalence of both eGFR and albuminuria increases with age, with male sex
also positively associated with albuminuria rise and negatively with eGFR impairment in
older subjects [64].
The impact of age (<60 and ≥60 years) and gender on the prevalence of DKD, advanced DKD (eGFR <30 mL/min/1.73 m2 ), and common risk factors, was specifically
analyzed in the 4839 participants of the Pathways Study [26]. This study showed that
women had, overall, a 28% decreased OR of DKD (OR 0.72, 95% CI 0.62–0.83), but a higher
prevalence of advanced DKD (OR 1.67, 95% CI 1.05–2.64). Although the prevalence of
microalbuminuria was higher among men with T2DM, women presented a greater risk
of advanced renal dysfunction and higher prevalence of common DKD risk factors, with
these differences being most evident amongst older subjects.
Male gender also appears to be an independent risk factor for DKD incidence, especially when the albuminuric phenotype is taken into account. A prospective observational
study of 191 T2DM patients followed for a median period of 5.8 years [20] found that
male sex was the second risk factor after albuminuria for the development of incipient or
overt DKD. Moreover, an association between sex and incident DKD was also found in
1464 patients with diabetes and normal renal function at baseline, followed-up for almost
10 years [65].
Risk factors for prevalence, incidence and progression of DKD and its phenotypes have
been recently evaluated in the large cohort of the AMD Annals Initiative, an observational
study including >400,000 T2DM and >25,000 adult T1DM subjects, from 251 diabetologists’
centers collected across Italy (Table 2). Figure 1 [66–73] shows gender-specific DKD phenotypes distribution in T1DM and T2DM from the AMD Annals Initiative. DKD, defined as
eGFR <60 mL/min and/or micro- macroalbuminuria, affected 47.3% T2DM men (29.8%
isolated micro- macroalbuminuria, 6.6% isolated low eGFR, 11% both) and 43.8% T2DM
women (18.3% micro-macroalbuminuria, 14.5% isolated low eGFR, 11.2% both) [66]. Furthermore, when predictors of DKD were analyzed in >120,000 T2DM patients over a 4 year
follow-up period, male gender was a positive risk factor for the incidence of albuminuria
and a negative risk factor for the development of eGFR decline (eGFR <60 mL/min) [72].
Table 2. Age- and gender differences in DKD prevalence, incidence and progression in T1DM and T2DM participants in
AMD Annals Initiative.
T1DM
Prevalence
Incidence 5 years
4 years Progression
eGFR<60 mL/min or >30% reduction
Male Sex
DKD 1.01 (0.91–1.11) p = 0.901
Low eGFR 0.64 (0.55–0.74) p < 0.001
MAU 1.26 (1.14–1.40) p < 0.001
DKD 1.01 (0.81–1.27) p = 0.913
Low eGFR 0.96 (0.59–1.56) p = 0.873
MAU 1.04 (0.82–1.32) p = 0.760
0.59 (0.46–0.76) p < 0.001
Age
By 10 year
DKD 1.15 (1.10–1.19) p < 0.001
Low eGFR 1.85 (1.74–1.96) p < 0.001
MAU 0.93 (0.89–0.87) p < 0.001
By 10 year
DKD 1.07 (0.96–1.18) p = 0.203
Low eGFR 1.95 (1.57–2.43) p < 0.001
MAU 0.93 (0.84–1.04) p = 0.227
By 10 year
1.46 (1.30–1.63) p < 0.001
Int. J. Mol. Sci. 2021, 22, 5808
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Table 2. Cont.
Int. J. Mol. Sci. 2021, 22, 5808
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T2DM
Prevalence
Incidence 5 years
4 years Progression eGFR
<60 mL/min or >30% reduction
Low1.89
eGFR(1.81–1.98)
0.69 (0.64–0.73)
Low
eGFR1.075
1.373(1.033–1.118)
(1.326–1.422) pp<<0.001
In subjects
with DM and
hypertension
MAU
MAU
0.001
MAU 1.89 (1.81–1.98)
MAU 1.075 (1.033–1.118) p < 0.001
hypertension
BothBoth
1.521.52
(1.42–1.63)
Both
1.381
(1.306–1.460)
p
<
0.001
0.78
(0.72–0.86)
p 0.001
< 0.001
(1.42–1.63)
Both 1.381 (1.306–1.460) p < 0.001
0.78 (0.72–0.86) p <
By 1 year
By 10 year
By 1 year
By 10 year
By10
10year
year
Low Low
eGFR
1.121.12
(1.11–1.12)
Low
0.767(0.681–0.864)
(0.681–0.864)
< 0.001
eGFR
(1.11–1.12)
LoweGFR
eGFR 0.767
p < p0.001
By
AgeAge
MAU
(1.01–1.01)
MAU 1.355
p <p0.001
1.49 (1.41–1.58)
p <p 0.001
MAU
1.011.01
(1.01–1.01)
MAU
1.355(1.220–1.504)
(1.220–1.504)
< 0.001
1.49
(1.41–1.58)
< 0.001
Both 1.12 (1.12–1.13)
Both 1.090 (0.926–1.283) p = 0.30
Both 1.12 (1.12–1.13)
Both 1.090 (0.926–1.283) p = 0.30
Abbreviations:
DKD,
diabetic
kidney
disease;eGFR,
eGFR, estimated
filtration
rate;rate;
MAU,
microalbuminuria.
Abbreviations:
DKD,
diabetic
kidney
disease;
estimatedglomerular
glomerular
filtration
MAU,
microalbuminuria.
Male Sex
Although
the
overall
epidemiological
Although the
theavailable
availableinformation
informationisisstill
stillnot
notconclusive,
conclusive,
the
overall
epidemiologidata
indicate
that that
the risk
developing
DKD DKD
is higher
in DMin
men,
have
a higher
cal data
indicate
the of
risk
of developing
is higher
DMwho
men,also
who
also
have a
risk
of
DKD
progression.
However,
when
DKD
specific
phenotypes
are
taken
into
account,
higher risk of DKD progression. However, when DKD specific phenotypes are taken into
DM
men are
higher
of developing
albuminuric
while
women are
at
account,
DMatmen
arerisk
at higher
risk of the
developing
the phenotype,
albuminuric
phenotype,
while
higher
risk
of
eGFR
impairment,
and
of
developing
ESRD,
especially
at
older
ages.
These
women are at higher risk of eGFR impairment, and of developing ESRD, especially at
differences
apply to both
of diabetes,
important
for the
older ages. seem
Theseto
differences
seemtype
to apply
to both with
type of
diabetes,implications
with important
imdiagnosis
and
management
of
DKD
in
the
clinical
practice.
plications for the diagnosis and management of DKD in the clinical practice.
The
reported
sex sex
and and
gender-disparities
in DKD
stillare
largely
The reasons
reasonsbehind
behindthese
these
reported
gender-disparities
in are
DKD
still
unknown,
but hormonal
or genetic or
differences,
as well as differences
the prevalence
or
largely unknown,
but hormonal
genetic differences,
as well asindifferences
in the
impact of major risk factors seem to play a relevant role.
prevalence or impact of major risk factors seem to play a relevant role.
Figure 1.1. Renoprotective
Renoprotective effects
effects of
offemale
femalehormones
hormoneson
ondiabetic
diabetickidney
kidneydisease.
disease. Abbreviations:
Abbreviations: DKD,
DKD, diabetic
diabetic kidney
kidney
Figure
disease;
ER,
estrogen
receptor;
HRT,
hormone
replacement
therapy;
GPER-1,
G
protein-coupled
estrogen
receptor
disease; ER, estrogen receptor; HRT, hormone replacement therapy; GPER-1, G protein-coupled estrogen receptor 1.1.
3. Impact of Female Sex Hormones on DKD
Sex hormones play an important role in the pathophysiology of diabetes and its
complications, especially in DM women, who seem to lose the protective effects of estrogens on the cardiovascular bed, even before menopause. In the last few decades, the
pleiotropic effects of estrogens beyond those on the reproductive system have been ob-
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3. Impact of Female Sex Hormones on DKD
Sex hormones play an important role in the pathophysiology of diabetes and its
complications, especially in DM women, who seem to lose the protective effects of estrogens
on the cardiovascular bed, even before menopause. In the last few decades, the pleiotropic
effects of estrogens beyond those on the reproductive system have been objects of intense
research [74–76], including their potential role in DKD (Figure 1). The activity of estrogens
is closely related to the presence of specific receptors that are ubiquitously localized,
with particular reference to the vascular district and endothelial cells [77]. Estrogens and
their metabolites operate through a classical pathway with nuclear Estrogen Receptors
(ERs) such as ER-α and ER-β [78,79] exerting their genomic actions. These effects are
guaranteed by different signaling pathways such as MAPK/ERK, PI3K and the important
NF-KB via [80]. These pathways lead to decreased apoptosis processes, cellular growth,
differentiation, and inflammation [81,82]. The ER-α and ER-β are localized in several areas
of crucial importance. One of these is the hypothalamus, especially the nuclei arcuate,
paraventricular, lateral, and ventral regions, where estrogens produce relevant effects on
food intake and thirsty [83] Another site is the skeletal muscle, where both ER-α and
ER-β are expressed and contribute to glucose homeostasis, reducing the expression of
GLUT4 [84]. This role has also been confirmed in studies on mice with ER-α knockout;
these mice showed insulin resistance and alteration in glucose levels [85].
Several receptors have been identified in adipose tissue, whereas only ER-α is expressed in brown adipose tissue [86], suggesting its key-role in obesity onset [87]. ER-α is
also the most predominant estrogenic receptor in the liver [88] while during the fetal phase
ER-β is more represented [89]. The former has especially predominant anti-inflammatory
effects on the liver [90]. The cardiovascular system is not exempt from ERs’ presence, and
their interaction with estrogens can ameliorate heart failure and inhibit apoptosis and
fibrosis [91]. Furthermore, activation of ER-β pathway leads to the reduction of cardiac
fibrosis in women [92].
Experimental studies demonstrated that ER-α expression is abnormally represented in
the diabetic kidney [93]. Estrogen’s most important metabolite is the 17 β Estradiol (E2) [94];
in healthy conditions, this metabolite acts as a vasodilator, increasing the endothelial
expression of nitric oxide synthase and resulting in phosphorylation and nitric oxide
production via the ER-α receptor [95]. Moreover, E2 seems to attenuate glomerulosclerosis
and tubulointerstitial fibrosis [96]. In animal models estrogens seem to counter fibrosis
and apoptosis in the kidney [97], while testosterone promotes pro-inflammatory, proapoptotic and pro-fibrotic processes [98–100]. These findings are partially in contrast with
evidence from human studies showing an association of oral contraceptives and estrogen
replacement therapy with an increased risk of microalbuminuria and kidney function
decline [101,102].
Estrogens may exert their effects even through another receptor, associated with protein G, the G protein-coupled estrogen receptor 1 (GPER-1), which explains their rapid
non-genomic effects [103]. This is a membrane receptor encoded by the GPER gene located
at chromosome 7p22.3, and its expression has been demonstrated in the hypothalamus, hypophysis, adrenal gland, ovary and particularly in the renal pelvis [104,105]. Some studies
have also evidenced a predominant expression of GPER-1 in renal tubular cells [106,107],
and therapy with GPER-1 agonist in female mice with salt-sensitive disease has been
reported to improve glomerular function and hypertrophy and to reduce proteinuria [108],
thus suggesting a key role of this receptor in kidney disorders and, probably, in DKD.
This hypothesis is further supported by data coming from the sustained use of icarine,
a GPER-1 activator. This metabolite seems to improve the nephropathy of T1DM mice,
through GPER mediated p62-dependent Keap1 degradation and Nrf2 activation, also attenuating mesangial expansion [109]. GPER is implicated in different pathways by several
receptors such as serotonin 1A receptor [110–113]. It also works with GPER/TGF-β1 via
inducing cellular proliferation or increasing the expression of type IV collagen [114] and
NO production [115].
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Other membrane receptors were identified: ER-α 36, a variant of ER-α and ER-β. ER-α
36 is another splicing variant; it plays an important role, inhibiting wild-type ER-α (ER-α66)
and ER-β, being involved in the resistance of breast cancer to hormonal treatment [116]
and in testosterone-initiated carcinogenesis [117].
The experimental data on estrogen supplementations in murine models of diabetes
also seem to confirm the role of female hormones in renal protection.
Thus, Wells et al. demonstrated a reduction in circulating estrogen levels and an
increase in the renal ER-α—ER-β expression ratio in diabetic rats. Supplementation with
E2 restored this rate, supporting the hypothesis of nephroprotection exerted by estrogens
in DM [118]. Furthermore, in diabetic mice, estrogen pellet implantation was able to inhibit
glomerulosclerosis, collagen IV deposition and albuminuria, even in animals with an
advanced stage of renal injury, suggesting the efficacy of E2 treatment in the reduction of
DKD progression [119]. On the other hand, the inhibition of estradiol synthesis using the
anastrozole, an aromatase inhibitor, partially attenuated renal injury in male streptozotocininduced diabetic rats [120].
Both the levels of E2 and the androgen-to-E2 ratio seem to be crucial factors for progression of renal injury in diabetic subjects; estrogenic activity is modulated by androgens,
probably through the accessibility of ER to E2. In humans, DKD is associated with an increase in estrogen concentration and a decrease in testosterone levels in male patients [121],
but not in women [122,123].
The potential beneficial effect of hormonal replacement therapy (HRT) on DKD has
also been explored, with some studies supporting the efficacy of estrogenic therapy in improving insulin sensitivity, plasma lipid levels and creatinine clearance in postmenopausal
diabetic women [124–126]. Maric et al. reviewed the current literature in this field, underlining the protective role of estrogens in DKD and the role of oral supplementation of 17 β
estradiol in attenuating its evolution [127].
Further investigations have shown that treatment with 17 β estradiol decreased albuminuria, tubulointerstitial fibrosis and glomerulosclerosis in the diabetic population [128].
Oral therapy with selective estrogen receptor modulators showed similar benefits.
Additionally, a provisional regimen with raloxifene, a selective estrogen receptor
modulator, reduced albuminuria levels in post-menopausal women with T2DM [129].
Furthermore, improvements of important kidney outcomes, including a reduction in the
progression of the albumin–creatinine ratio in post-menopausal T2DM women [130] has
been reported in a randomized trial with raloxifen.
Accordingly, the oral combination therapy with estradiol and norgestrel improved
eGFR and proteinuria in T2DM postmenopausal women with hypertension, and this
nephroprotective action was not related to the modification of conventional risk factors
such as blood pressure and lipids [126]. Conversely, a recent meta-analysis demonstrated
the short-term benefits of HRT on lipid profile in young women with CKD, although a
reduction in CV morbidity and/or mortality was not observed [131].
Vitamin D could also exert a synergetic action with estrogens in renal protection and
diabetes control [132]. Thus, vitamin D acts as a real steroid hormone and its level is
influenced by estrogen status [133]. It exerts a modulating action at both tubular [134]
and glomerular level [135], with peculiar protective action in DKD [136]. Moreover, preand post-menopausal DM women with an adequate vitamin D status seem to have a
better glycemic control [137]. Estrogens interfere with vitamin D immunomodulatory
activities [138] and, in turn, vitamin D down-regulates aromatase action, with a reduction of the adverse events linked to peripheral estrogen overexpression [139]. Combined
therapy with vitamin D supplementations and sex steroids seems to protect endothelium integrity, contrasting the cardiovascular damage that contributes to CKD and DKD
progression [140,141].
Multiple mechanisms behind the reno-protective effects of oral estrogen supplementation in DM women have been reported. Chronic hyperglycemia leads to an increase
of reactive oxygen species (ROS), and an impairment of nitric oxide (NO) secretion [142].
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Additionally, the polyol pathways are involved in the DKD genesis [143] Another pathway of glycemic damage is represented by the accumulation of Advanced Glycation End
Products (AGEs), which are derived from nonenzymatic glycosylation of product proteins
or lipids [144,145]. AGEs reduce the efficiency of anti-oxidant systems, downregulating
several protective molecules, such as AGER1 and SIRT1 [146,147].
E2 therapy can interfere with these pathways at different levels. It reduces the expression of transforming growth factor-beta (TGF β), AT1 receptors, and endothelines with a
decreased production of collagen (especially I and IV) [148–151] and a reduction of apoptotic phenomena [152]. The increased activity of nitric oxide synthase at the glomerular
level may be another effect of estrogens in the kidney, improving vascular permeability
and glomerular function [153].
A study on ovariectomized rats has shown an increased expression in glomerular
tissue of SIRT1 mRNA in those treated with E2. In addition, E2 increased ER α -mRNA
expression in the glomerular mesangium and reduced the fibrotic process and TGF-β
levels [154]. TGF-β plays a key role in the genesis of DKD, increasing the production of
extracellular matrix, and that of collagen IV in the podocytes and expanding the mesangial
area [155,156]. Its expression is upregulated by a state of chronic hyperglycemia, leading to
glomerulosclerosis [157–159], and TGF-β levels are usually increased in men and reduced
in women [160], thus indirectly suggesting a crucial role of estrogens in regulating TGF-β.
Accordingly, ER-α, the major estrogenic receptor expressed at the renal level, has also been
shown to bind to several target molecules [161].
Other metabolic pathways are involved in the regulation of TGF β levels, such as the
protein kinase system (CK2) [162] and the renin–angiontensin–aldosterone system (RAAS)
that increase TGF-β production [163], and estrogens have been also reported to reduce the
activity of RAAS and, therefore, stimulate TGF-β [164].
Beyond the role of estrogens, progesterone also seems to play an important role in
kidney protection. Thus, progesterone receptors are mainly localized in the epithelial
cells of distal tubule [164], both in the medulla and cortex kidney of male and female
subjects [165]. Loss of renal function related to the ageing process and damage to of
the proximal tubule could be prevented by the administration of estrogen alone or even
by the addition of progesterone replacement therapy [166], which also demonstrated
beneficial effects on the ischemic tubular damage [167], further supporting their role in
nephroprotection.
Accordingly, Baha et al. highlighted that the administration of progesterone for
10 weeks in ovariectomized diabetic mice improves the different outcomes of diabetic
nephropathy, reducing glomerulosclerosis and profibrotic/angiogenetic factors (TGF-β,
vascular endothelial growth factor -A, type 1 receptor of angiotensin II), downregulating
podocyte markers such as nephrin and podocin [168].
In spite of this increasing experimental evidence of the renoprotective role of estrogens alone or in combination with progesterone, large prospective trials with HT in
postmenopausal T1DM and T2DM women with variable stages of CKD are still needed in
order to evaluate their possible role in the treatment of this high-risk population in future.
4. Impact of Sex Genes Interactions on DKD
Sex may impact the effect of genes at different levels. Recent evidence supports the
role of sex chromosomes on renal impairment in non-diabetic individuals, as reported
for Alport syndrome, arising from a mutation in COL4A5 on chromosome X [169], and
showing a different renal prognosis in affected males and females [170,171].
However, the influence of sex is far more complex, and sex is an important modifier
of the influence of genetic background on several chronic diseases, including CKD.
Overall, the genetic heritability of CKD has been estimated to range from 30 to
75% [172,173] and several lines of evidence confirmed the relevant role of genetic predisposition in the initiation and progression of renal complications both in T1DM and T2DM
subjects. Epidemiological studies have revealed familial clustering of DKD in both types
Int. J. Mol. Sci. 2021, 22, 5808
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of diabetes [174,175], and a relevant influence of ethnical background [176–178]. More
than 150 genes have been associated with DKD in T1DM and T2DM, although with a
different biological relevance, and most of them have been identified through genomewide
association studies (GWAS) [179–183].
A recent GWAS analysis on DKD, involving large T2DM and T1DM cohorts and
taking into account eight complementary dichotomous and quantitative DKD phenotypes,
identified a novel loci (near GABRR1, rs9942471) specifically associated with microalbuminuria in European T2DM case subjects only, with no signal in Asian diabetic subjects
or in those with T1DM irrespective of ethnical origin [184]. These findings indicate that a
phenotype-, ethnicity- and type of diabetes-driven analysis may be more specific in the
identification of genetic susceptibility to DKD. Accordingly, in T1DM, a GWAS analysis of
19,406 subjects using various definitions of DKD, based on renal function and albuminuria,
recognized 16 loci, including protective variants (the rs55703767 minor allele, Asp326Tyr)
and a variant (rs55703767), on the collagen type IV alpha 3 chain (COL4A3) gene, with the
most significant association with DKD in T1DM patients [185].
Furthermore, the minor C allele of rs17389016 of the 11β-Hydroxysteroid dehydrogenase 1 (HSD11B1) was recently associated with the “fast decliner” phenotype and overt
DKD in a cohort of 466 T1DM subjects (OR = 2.10; CI 95% = 1.14–3.89; p = 0.018) [186].
Despite this overwhelming evidence, the identified genes and single nucleotide polymorphisms (SNPs) only explain a minor part of the genetic susceptibility to DKD. Thus,
epigenetic mechanisms, i.e., DNA methylation, chromosome histone modification and noncoding RNA (ncRNA) regulation [187,188] and their potential interactions with personal
or environmental factors, including sex, may also play an important role [189].
Although several genetic loci in genes implied in the RAAS, inflammation, oxidation,
glucose and lipid metabolism have been associated with DKD, the potential role of sex–gene
interaction has been evaluated for only a few of them [8].
In one of the first studies of gene–gender interaction on DKD, a case–control study
from the Joslin Diabetes center, the M235T variant in the angiotensinogen gene, which
is associated with a greater expression of this gene, increased DKD risk only in T1DM
men [190].
In T2DM study subjects from the Health Professionals Follow-Up Study (HPFS) and
the Nurses’ Health Study (NHS), sex-specific associations were found between the angiotensin II type 1 receptor gene AGT1R 1166 C-allele and AGT 235T and coronary heart
disease (CHD), whereas the AGT1R T573 C-allele variant was not associated with CHD
or DKD [191]. Furthermore, a case–control study in a large cohort of T1DM patients
from Denmark, Finland, France and Sweden, found that the AA genotype of the rs5186
AGTR1 polymorphism significantly increased the DKD risk in male patients (OR = 1.27;
95% CI = 1.02–1.58, p = 0.03), after adjustment for multiple confounders, whereas no significant associations were noted in women [192].
Sex differences were also noted for common variants in carnosinase genes on chromosome 18q, CNDP1 and CNDP2 [193], with the 5-leucine repeat (5L-5L) variant of the
CNDP1 gene being associated with a reduced prevalence of DKD in T2DM women [194],
whereas the rs12604675-A variant in CNDP1 was shown to confer higher susceptibility to
overt proteinuria in T2DM women from Japan [195].
The common angiotensin-converting enzyme (ACE) polymorphism (I = insertion,
D = deletion) has also been extensively studied as a DKD susceptibility gene in both T1DM
and T2DM. While this variant was not able to explain the observed gender differences in
ESDR occurrence in black DM individuals [196], it seemed to have an independent impact
on survival in DM patients on dialysis [197]. Furthermore, T2DM women carriers of the
ACE D allele were found to be at increased risk of DKD progression, whereas no difference
was found in T2DM men, even after adjustment for multiple confounders [198].
Sex–genes interactions were also reported for genes implied in inflammation and
oxidation, as well as in other DKD-related risk factors.
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Significant interaction with sex was also noted for the IL-6 (rs1800795) genetic variant
in a study on predictive genetic models of microalbuminuria in relatives of subjects with
DKD [199].
In 1120 T1DM subjects (529 men and 591 women), the SNP rs11915160 SOX2 gene, located in chromosome 3q26.33, was significantly associated with DKD and ESRD in women
but not in men, with a combined effect with the adiponectin promoter polymorphism
rs266729 [200]. Sex-specific associations were also reported for two SNPs in the regulatory
regions of CYBB (NOX2, coding, respectively, for superoxide-generating nicotinamide
adenine dinucleotide phosphate-oxidase 2) and GPX4 (glutathione peroxidase 4), involved
in the redox status. The minor A-allele of CYBB rs6610650 was associated with DKD in
women, whereas the minor T-allele of GPX4 rs713041 showed an inverse association with
DKD in T1DM men of South America and European origins [201].
T1DM male carriers of the 59029G allele and those with the 32-bp deletion on the
secreted (RANTES) receptor gene (CCR5) variant, which is associated with the diminished
expression of CCR5 on immunocompetent cells, had a greater risk of DKD, compared with
non-carriers. Furthermore, the distribution of the combined haplotypes with these two
variants differed significantly in men with and without DKD, but not in women [202].
GWAS studies in T1M cohorts also identified sex specific associations with DKD
susceptibility variants. Thus, a GWAS study in the large cohort of the Finnish Diabetic
Nephropathy (FinnDiane) Study found that a common variant, the rs4972593 on chromosome 2q31.1, that was associated with ESRD in women but not in men, and this was
confirmed in a meta-analysis of three independent T1DM cohorts [203]. Notably, this
variant (rs4972593) is able to interact with ERα, modulating the expression of genes implicated in glomerular function and cell proliferation, thus potentially contributing to the
sex-specific protection against ESRD [203].
Another study conducted on three cohorts including T1DM of European descent
found that the IGF2BP2 polymorphism, a variant protein that binds to 5’-UTR of the
imprinting IGF2 gene, was associated with DKD only in male T1DM subjects. In the
same cohorts, a genetic interaction between IGF2BP2 and IGF2 gene was also identified,
suggesting a protective role against DKD in male T1DM subjects [204].
In T2DM women, the PNPLA3 rs738409 polymorphism, a genetic risk factor for
non-alcoholic fatty liver disease, was associated with impaired eGFR values and DKD
prevalence, irrespective of the presence of NAFLD and common cardio–renal risk factors [205].
Polymorphisms in cholesteryl ester transfer protein (CETP) gene, a key enzyme in
triglyceride metabolism, were also investigated as genetic risk factors for DKD. In a group
of T2DM women, followed up for ~9 years, the Taq1B variant was not associated with the
risk of developing DKD, whereas it predicted the onset of diabetic retinopathy [206].
Conversely, another study, conducted on a total of 3023 Taiwanese individuals (1383
without and 1640 with T2DM) found that the A-allele of rs1800775 in the CETP gene was
significantly related to a lower DKD risk (OR, 0.78; 95% CI, 0.64-0.96) [207]. Unfortunately,
no gene–gender specific analysis was conducted in this study and ethnic differences may
also have played a role in differentiating these results.
No sex differences were found according to five SNPs in other genes involved in lipid
metabolism such as the SLC2A9 and ABCG2 genes in DKD [208].
Genetic background has a relevant role in increasing or decreasing the risk of developing DKD; however, the relative importance of each genetic variant seems to vary
according to type of diabetes, study design, DKD phenotypes (albuminuric/low eGFR),
and ethnic background. Overall, the available evidence suggests that sex should be considered among the variables potentially influencing the impact of genes on DKD risk.
Thus, when a sex-specific analysis was conducted, some of these genetic risk factors
were exclusively or more strongly associated with DKD in either DM men or women
(Table 3) [180–186,189–195,198,200–205,207]. Future research should persevere to confirm
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sex-specific associations and basic research should investigate the mechanisms behind
these observed results.
Table 3. Studies reporting sex specific associations of selected gene variants with DKD phenotypes.
Reference
Ethnic
Group
Locus
Study
Design
Lin, 2009 [191]
US
AGT1R (1166)
cohort study
Tien, 2009 [198]
Taiwan
ACE D/I
Mooyaart, 2011
[181]
Multi-ethnic
24 gene variants:
ACE, AKR1B1 (two variants),
APOC1, APOE, EPO,NOS3 (two
variants), HSPG2, VEGFA, FRMD3
(two variants), CARS (two variants),
UNC13B, CPVL and CHN2, and
GREM1, plus 3 variants not near
genes.
Ahluwalia, 2011
[193]
Sweden
Ahluwalia, 2011
[193]
Sex Specific
Association *
MAU
Low eGFR
DKD
Male/Female
Not significant
Higher risk
Higher risk
Prospective
Female
Higher risk
Higher risk
Higher risk
GWAS
NR
Higher risk
Higher risk
Higher risk
CNDP1 (rs2346061)
Case–
control
Male/Female
Higher risk
Not significant
Higher risk
Sweden
CNDP2 (rs7577)
Case–
control
Female
Higher risk
Not significant
Higher risk
Kurashige, 2013
[195]
Japan
CNDP1 (rs12604675)
Case–
control
Female
Higher risk
Not significant
Higher risk
Alkhalaf, 2015
[194]
Netherlands
CNDP1 (5L-5L)
prospective
Male/Female
Not significant
Not significant
Not significant
Teumer, 2015
[183]
European
RAB38/CTSC (rs649529),
HS6ST1 (rs13427836),
CUBN (rs10795433)
GWAS
NR
NR
NR
NR
Prudente, 2017
[180]
Italy
UMOD (rs12917707)
Crosssectional
NR
NR
NR
NR
Russo, 2017 [206]
Italy
CETP Taq1B
cohort
Female
Not significant
Not significant
Not significant
van Zuydam,
2018 [184]
European
GABRR1 (rs9942471)
GWAS
NR
Higher risk
Not significant
Higher risk
Huang, 2019
[207]
Taiwan
CETP rs1800775
Crosssectional
NR
Higher risk
Higher risk
Higher risk
Mantovani, 2019
[205]
Italy
PNPLA3 rs738409
Crosssectional
Female
NR
Higher risk
Higher risk
Vujkovic, 2020
[189]
Multi-ethnic
UMOD
GWAS
Not significant
Not significant
Higher risk
Higher risk
US
AGT (M235T)
case–control
Male
Higher risk
Not significant
Higher risk
Male
Higher risk
Higher risk
Higher risk
Studies on T2DM subjects
Studies on
T1DM subjects
Freire, 1998 [190]
Miynarski, 2005
[202]
US
CCR5 (A59029G)
Case–
control
Miynarski, 2005
[202]
US
CCR5 (32bp deletion)
Case–
control
Male
Higher risk
Higher risk
Higher risk
Mollsten, 2011
[192]
Denmark,
Finland,
France and
Sweden
AGTR1 (rs5186)
case–control
Male
Higher risk
Not significant
Higher risk
Gu/Horova,
2012 [204]
European
IGF2 (rs10770125)
Case–
control
Male
Higher risk
Higher risk
Higher risk
Gu/Horova,
2012 [204]
European
IGF2BP2(rs4402960)
Case–
control
Male
Higher risk
Higher risk
Higher risk
Montero, 2013
[201]
Brazil/France/
Belgium
CYBB (rs6610650)
Crosssectional
Female
Higher risk
Higher risk
Higher risk
Montero, 2013
[201]
Brazil/France/
Belgium
GPX4 (rs713041)
Cross
-sectional
Male
Higher risk
Higher risk
Higher risk
Saldholm, 2013
[203]
Finland
Chr2q31.1 (rs4972593)
GWAS
Female
NR
Higher risk
Higher risk
Sanholm, 2017
[182]
European
AFF3, CNTNAP2, NRG3, and
PTPN13, ELMO1, 13q, and SIK1
GWAS
NR
Higher risk
Higher risk
Higher risk
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Table 3. Cont.
Reference
Ethnic
Group
Locus
Study
Design
Sex Specific
Association *
MAU
Low eGFR
DKD
Gu, 2019 [200]
Sweden
SOX2 (rs11915160)
Case–
control
Female
Higher risk
Higher risk
Higher risk
Salem, 2019 [185]
European
COL4A3 (rs55703767)
GWAS
Male
Higher risk
Higher risk
Higher risk
Mori, 2020 [186]
Brazil
HSD11B1 (rs17389016)
cohort
NR
Not significant
Higher risk
Higher risk
Abbreviations: DKD, diabetic kidney disease; * Sex specific association: sex with the strongest association is reported; eGFR, estimated
glomerular filtration rate; MAU, micro/macroalbuminuria; T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus; NR, sex/gender
differences not reported. Not significant, no significant association.
5. Gender Differences in DKD Risk Factors and Renoprotective Drugs
Cardiovascular disease (CVD) and DKD share several common risk factors, including hyperglycemia, high blood pressure (BP) values, atherogenic dyslipidemia, obesity,
inflammatory markers, high uric acid levels and others. Furthermore, both albuminuria
and low eGFR values independently increase CVD morbidity and mortality risk in diabetic
individuals [209].
Sex and gender differences have been largely reported in CVD and its major risk
factors, both in T2DM and T1DM [70,210–218]. Thus, while the CVD risk is overall higher
in DM men than in women, the relative risk of developing CVD complications is 2-4 times
higher in DM females than in males [210–212]. Ageing seems to reduce the impact of
diabetes on CVD risk, being particularly high in subjects 35-59 years [213,214].
Recent data from the UK estimated the excess CVD risk related to T2DM being
approximately 50% higher in women (HR 1.96 (95% CI 1.60, 2.41)) than in men (HR
1.33 (95% CI 1.18, 1.51)) [215], although some more contemporary data attenuated these
findings [216].
Notably, an Italian cohort of >11,000 T2DM subjects, followed up for 4 years, reported
that, the impact of common risk factors on coronary heart disease (CHD) was different
in T2DM men and women, with microvascular complications, including DKD, being a
stronger risk factor in females [217].
Thus, sex and gender differences were also reported for several DKD risk factors, with
T2DM women generally showing a greater prevalence of out-of-target values [70,218].
In the AMD Annali Initiative, women were 14% more likely than men to have HbA1c
>9.0, 42% more likely to have LDL-cholesterol ≥130 mg/dl, and 50% more likely to have
BMI ≥30 kg/m2 despite appropriate treatment [1]. Furthermore, older T2DM women were
those at the highest risk of uncontrolled lipid values [219].
Beside LDL-C levels, also atherogenic dyslipidemia, i.e., high triglycerides (TG) and
low HDL-C values, the typical lipid profile in subjects with insulin-resistance and T2DM,
has been recognized as an independent risk factor for DKD [220]. In 15,362 Italian T2DM
patients, with eGFR ≥60 mL/min/1.73 m2 , normoalbuminuria, and LDL-C ≤130 mg/dL
at baseline, followed-up for 4 years, low HDL-C and high TG levels were independent risk
factors for the development of DKD, defined as either low eGFR (<60 mL/min/1.73 m2 ),
eGFR reduction >30% and/or albuminuria. After stratification for multiple risk factors, the
association of low HDL-C levels with low eGFR was more pronounced for male gender,
whereas no other sex interactions were noted for high triglycerides and low eGFR risk and
for both lipid fractions and microalbuminuria (MAU) [221]. Notably, another Japanese
observational cohort study found an association of atherogenic dyslipidemia with a higher
risk of developing DKD in men only [222]. The heterogeneity of HDL particles in their lipid
and protein composition, as well as in their function may have contributed to these results.
In order to clarify this issue, we evaluated the effect of atherogenic dyslipidemia, the HDL
subclasses distribution and the common cholesteryl ester transfer protein (CETP)TaqIB
variant on the incidence or the progression of DKD and diabetic retinopathy (DR) in a
group of T2DM women followed up for ~9 years. In this study, atheroprotective HDL
subclasses together with BMI and LDL/HDL ratio were associated with an increased risk of
developing DKD; although these associations were attenuated at multivariate analysis [206].
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BMI, LDL/HDL ratio and low levels of α-1 HDL particles were associated to the occurrence
of DKD at univariate analysis, although BMI was the only significant predictor at stepwise
multivariate regression analysis [206].
Gender differences were also noted in the impact of serum uric acid on DKD risk [223–225].
In a large Chinese cohort [226], hyperuricemia was independently associated with an increased risk of DKD in both genders, but, after adjustment for traditional DKD risk factors,
the association remained significant only in men.
Data on potential gender differences in the response to drugs recommended for DKD
are even more sparse. Thus, recent guidelines recommend the use of inhibitors of sodiumglucose cotransporter 1 (SGLT2i) and glucagonlike protein 1 receptor agonists (GLP1Ras) in
T2DM subjects with DKD, on the wave of the encouraging results of many cardiovascular
outcome trials (CVOTs) and dedicated investigations in patients with CKD with or without
T2DM, but very few of them have specifically evaluated sex or gender differences [227,228].
When renal outcomes were investigated as a safety issue in a retrospective cohort
study [229], no differences between T2DM male and females in acute kidney injury (AKI)
were reported for SGLT2i (female: 20.9 cases/1000 patients; male: 20 cases/1000 patients)
and for GLP1Ras (female: 17.8 cases on 1000 GLP-1RA users; male: 36 cases/1000 patients).
Furthermore, no sex interaction was reported in another study exploring the risk of serious
renal events among SGLT2i- and GLP1Ras- users [230]. Overall, trials with empagliflozin,
canagliflozin, dapagliflozin in patients with and without T2DM, also showed no significant
sex gender interactions on renal outcomes, indicating a similarly beneficial effect of SGLT2i
in the two genders, although the number of women included in the trial population was
different among these studies [231–233].
Collectively these data indicate that the emerging evidence of a gender-difference in
the impact of DKD risk factors is yet to be confirmed, but the literature data consistently
indicate that DM women, especially those with T2DM, do not reach targets for major
CVD/DKD risk factors as easily as men. The reasons behind these gender differences
are still only partly explored, and they may include differences in drug prescriptions,
adherence and/or drug response, research areas that should be further explored. Whatever
the reason, out-of-target risk factors may contribute to the worst outcomes observed in DM
women even in terms of DKD-related mortality [234].
6. Conclusions
DKD is one of the most burdensome complications of both T1DM and T2DM. While
the prevalence of CVD and other chronic DM complications have shown a progressive
decrease in industrialized countries, the prevalence of DKD has not, in spite of the recent
diagnostic and therapeutic advances, mostly because of the impact of population ageing
and the continuous increase in the prevalence of T1DM and T2DM worldwide. In order to
cope with this challenge, the guidelines recommend a personalized approach, where sex
and gender differences need to be taken into account.
Sex and gender differences have been reported in the prevalence of specific DKD
phenotypes, as well as in the prevalence, impact and control of common DKD risk factors.
It has become well recognized that both albuminuria and eGFR are important factors
for DKD diagnosis, with the non-albuminuric phenotype more prevalent in DM women
and the albuminuric one in DM men. As for progression toward ESDR, the data indicate a
faster progression and overall worse outcomes in DM women, especially those with T2DM
in the late decades of life.
Hormonal and genetic factors have also been shown to play a relevant role in explaining these differences in DKD, as demonstrated by several experimental studies, showing
an overall protective role for estrogens and progesterone (Figure 1). Conversely, although
many genetic loci have been associated with an higher DKD risk both in T1DM and T2DM,
their impact seems to vary according to selected gene variants, type of DM, DKD phenotype, study design and according to sex (Table 3). In spite of this increasing evidence,
many areas of knowledge still need to be covered. No gender-specific guidance on im-
Int. J. Mol. Sci. 2021, 22, 5808
14 of 24
portant diagnostic and therapeutic aspects is available to date. Particularly, it is still not
known whether the reported gender differences in DKD phenotypes will result in different
outcomes in terms of renal progression and/or CVD mortality. Moreover, the potential
protective effect of estrogen replacement therapy on renal outcomes is still under debate.
Additionally, the relative impact of socio-economical differences, i.e., the gender disparities,
on DKD incidence and progression has not been evaluated so far. Potential sex/gender
differences in the therapeutic approach to DKD is another area that needs to be covered.
Thus, it is well recognized that women usually experience more drug side effects, and that
female gender is poorly represented in randomized controlled trials testing new drugs, an
issue that also applies to drugs recommended for patients with DKD, which witness the
predominance of the male gender among trials’ participants.
Although the available evidence suggests similar renal benefits and/or side effects
from the new hypoglycemic drugs with renal benefit in T2DM men and women, the lower
representation of women in these trials and the overall lack of a gender-specific analysis
prevent us from drawing firm conclusions on these important efficacy and safety issues.
In conclusion, sex and gender differences embrace several aspects of DKD pathogenesis, diagnosis, and management, leaving a number of unanswered questions that should
be addressed by future research in order to reduce the burden of this serious complication.
Funding: This research received no external funding.
Conflicts of Interest: The authors declare no conflict of interest.
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ANALISIS BEBAN KERJA PARA MERCHANDISER DISPLAY (MD) UNTUK MENURUNKAN TINGKAT PERPUTARAN KARYAWAN PADA PT. FRISIAN FLAG INDONESIA (FFI) CABANG BANJARMASIN
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Kindai
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ANALISIS BEBAN KERJA PARA MERCHANDISER DISPLAY (MD)
UNTUK MENURUNKAN TINGKAT PERPUTARAN KARYAWAN PADA
PT. FRISIAN FLAG INDONESIA (FFI) CABANG BANJARMASIN Muhammad Ardi* & Arifia Nurriqli
Mahasiswa Sekolah Tinggi Ilmu Ekonomi Pancasetia Banjarmasin
Jl. A Yani Km. 5,5 Banjarmasin, Kalimantan Selatan
e-mail: ardy0697@gmail.com Abstrak: Tujuan dari penelitian ini adalah untuk mengetahui Analisis Beban Kerja
Para Merchandiser Display (MD) Untuk Menurunkan Tingkat Perputaran
Karyawan pada PT. Frisian Flag Indonesia (FFI) Cabang Banjarmasin. Metode
penelitian yang digunakan adalah deskriptif kualitatif. Teknik pengumpulan data
menggunakan dokumentasi, wawancara dan observasi. Berdasarkan hasil
penelitian diketahui bahwa kerap terjadi penolakan dari pemilik toko untuk
melakukan pendisplayan barang atau pemasangan spanduk ditoko. Padahal hal
tersebut merupakan tugas dari para karyawan Merchandiser Display (MD) sebagai
bukti pelaporan ke kantor pusat. Hal tersebut mengakibatkan terhambatnya
pekerjaan seorang MD. Sebaiknya PT. Frisian Flag Indonesia (FFI) Cabang
Banjarmasin mempertahankan kualitasnya dan konsisten dengan garansi serta
teknik penjualan produk yang sesuai. Keywords: Workload, Merchandiser Display (MD), Employee Turnover Keywords: Workload, Merchandiser Display (MD), Employee Turnover memaksimalkan sumber daya manusia yang
dimiliki. Kata Kunci: Beban Kerja, Merchandiser Display (MD), Perputaran Karyawan Abstract: The purpose of this study is to know the Workload Analysis of
Merchandiser Display (MD) To Reduce Employee Turnover Rate at PT. Frisian
Flag Indonesia (FFI) Banjarmasin Branch. The research method used is
descriptive qualitative. Data collection techniques use documentation, interviews
and observation. Based on the results of the research note that there is often a
refusal from the shop owner to perform pendisplayan goods or installation of
banners ditoko. Though it is the duty of employees Merchandiser Display (MD)
as evidence of reporting to the headquarters. This results in the inhibition of an
MD's job. We recommend PT. Frisian Flag Indonesia (FFI) Banjarmasin Branch
maintains its quality and is consistent with the warranty and appropriate product
sales techniques. Latar Belakang
Keberhasilan g
Keberhasilan
manajemen
dalam
mengelola
perusahaan
akan
sangat
ditentukan oleh kemampuan dalam mengolah
serta mendayagunakan sumber daya manusia
yang dimiliki perusahaan. Walaupun sebuah
perusahaan telah menggunakan teknologi
yang sangat canggih pada peralatan kerjanya,
serta penerapan metode-metode yang baik
dalam pekerjaan semuanya tidak akan akan
banyak membantu dalam mencapai tujuan
yang
sudah
ditetapkan
dalam 116 KINDAI, Vol 14, Nomor 2, April 2018, halaman 115-121 116 KINDAI, Vol 14, Nomor 2, April 2018, halaman 115-121 instruksi. Di samping itu, memberi para
karyawan
dengan
beragam
pekerjaan. Pelatihan silang itu, membantu perusahaan
ketika lowongan, ketidakhadiran, penyusutan
usaha,
atau
pengunduran
diri
terjadi. Partisipasi peserta pelatihan dan kemampu-
pindahan pekerjaan yang tinggi merupakan
keunggulan
belajar
dari
perputaran
pekerjaan. Perputaran adalah paling terkait
dengan karyawan yang sudah bekerja dengan
lamanya mereka bekerja. Mereka diharapkan
dapat melakukan pekerjaan-pekerjaan pada
ragam tingkat atau posisi tertentu. Beban kerja sangat mempengaruhi
kinerja karyawan dalam bekerja. Beban kerja
yang berat dapat membuat karyawan merasa
tidak nyaman dan menjadi tidak betah dalam
bekerja. Oleh
karena
itu,
diperlukan
perhitungan beban kerja untuk karyawan. Perhitungan beban kerja dapat dilihat dari 3
aspek, yakni fisik, mental dan penggunaan
waktu. Aspek fisik meliputi beban kerja
berdasarkan kriteria-kriteria fisik manusia. Aspek mental merupakan perhitungan beban
kerja dengan mempertimbangkan aspek
mental
(psikologis). Sedangkan
aspek
pemanfaatan waktu lebih mempertimbangkan
pada aspek pengunaan waktu untuk bekerja
(Adipradana, 2014:78). instruksi. Di samping itu, memberi para
karyawan
dengan
beragam
pekerjaan. Pelatihan silang itu, membantu perusahaan
ketika lowongan, ketidakhadiran, penyusutan
usaha,
atau
pengunduran
diri
terjadi. Partisipasi peserta pelatihan dan kemampu-
pindahan pekerjaan yang tinggi merupakan
keunggulan
belajar
dari
perputaran
pekerjaan. Perputaran adalah paling terkait
dengan karyawan yang sudah bekerja dengan
lamanya mereka bekerja. Mereka diharapkan
dapat melakukan pekerjaan-pekerjaan pada
ragam tingkat atau posisi tertentu. PT Frisian Flag Indonesia merupakan
perusahaan multinasional, sebagai bagian
dari
keluarga
besar
Cooperatve
Condensfabriek Friesland, yang kini berubah
nama menjadi Royal FrieslandCampina, yang
bergerak dalam bidang industri produk
nutrisi berbasis susu. Friesland Campina
merupakan koperasi peternak sapi perah
terbesar di dunia yang berpusat di Belanda
dan beranggotakan 16 ribu peternak yang
tersebar di tiga negara, serta memiliki
karyawan tidak kurang dari 22 ribu orang
yang tersebar di 100 perusahaan di seluruh
dunia. Frisian Flag pertama kali muncul di
Indonesia pada tahun 1922, ketika produk
susu Friesche Vlag di impor ke Indonesia
melalui
Cooperative
Condens-Fabriek. Sekitar tahun 1930-an, produk Frisian Flag
dan Friesche Flag mulai dipromosikan
dengan nama Soesoe Tjap Bendera. PT Frisian Flag Indonesia merupakan
perusahaan multinasional, sebagai bagian
dari
keluarga
besar
Cooperatve
Condensfabriek Friesland, yang kini berubah
nama menjadi Royal FrieslandCampina, yang
bergerak dalam bidang industri produk
nutrisi berbasis susu. Friesland Campina
merupakan koperasi peternak sapi perah
terbesar di dunia yang berpusat di Belanda
dan beranggotakan 16 ribu peternak yang
tersebar di tiga negara, serta memiliki
karyawan tidak kurang dari 22 ribu orang
yang tersebar di 100 perusahaan di seluruh
dunia. Keberhasilan Sebagian besar lingkungan kerja yang
baik
dapat
membantu
meningkatkan
kepuasan kerja serta berhubungan positif
antara lingkungan kerja dan kepuasan kerja
ada untuk semua jenis kelompok pekerjaan,
namun lingkungan fisik dan non fisik
merupakan
faktor
yang
mempengaruhi
kepuasan kerja selain kompensasi, promosi
jabatan serta karakteristik dari pekerjaan
yang bersangkutan (Sardzoska, 2012:14). 115 116 KINDAI, Vol 14, Nomor 2, April 2018, halaman 115-121 116 KINDAI, Vol 14, Nomor 2, April 2018, halaman 115-121 Biasanya
tiap
kepindahan
didahului
dengan
pelatihan Tingginya jam kerja serta peraturan
yang diberikan perusahaan berdampak besar
terhadap kerja para karyawan sebagai contoh,
karyawan diharuskan bekerja dengan cepat
untuk emmenuhi target namun hal tersebut
tidak berimbang dengan kemampuan yang Ardi & Nurriqli, Analisis Beban Kerja Pada Merchandiser Display (MD) Pada …. 117 117 dimiliki
para
karyawan
Merchandiser
Display (MD). MD atau Merchandiser
Display adalah salah satu bagian dari team
promosi yang bertugas mendisplay atau
memajang produk di etalase toko dengan
baik. Umumnya
karyawan
bagian
Merchandiser
Display
bertugas
untuk
memastikan produk yang tertata rapi di
etalase selain sedap dipandang mata juga
akan meningkatkan penjualan jika produk
ditata sedemikian rupa sehingga mudah
dijangkau dan ditemukan oleh pembeli. Tugas Merchandiser Display tidak hanya
bertugas di modern market tetapi juga di
retail, di pasar-pasar tradisional akan kita
lihat pajangan shampo, deterjen, pelembut
pakaian yang tertata rapi. Itu juga hasil kerja
Mercandiser Display. kepuasaan kerja meningkat, maka perputaran
karyawan
dan
absensi
menurun
atau
sebaliknya. Turnover yang tinggi pada suatu
bidang dalam suatu organisasi, menunjukkan
bahwa bidang yang bersangkutan perlu
diperbaiki
kondisi
kerjanya
atau
cara
pembinaannya. Hal tersebut tidak berbanding
dengan kemampuan yang dimiliki oleh
karyawan
Merchandiser
Display,
selain
waktu yang disediakan untuk satu buah toko
hanya selama 25 menit, kendala lain
ditemukan dari pemilik toko yang tidak mau
toko merekan dipasang atau dirubah-rubah
tempat penjualan sehingga para karyawan
harus meyakinkan para pemilik toko serta
melepas kembali atribut dan mengembalikan
display
ke
awal
setelah
melakukan
pendokumentasian ke kantor pusat. Selain itu tugas Merchandiser Display
(MD) lainnya adalah memasang alat promosi
produk seperti striker, spanduk, banner dan
lain sebagainya sebagai bentuk promosi “di
darat” untuk menunjang promosi produk
yang telah dilakukan “di udara” lewat iklan
di TV, radio atau internet. Namun, pada PT. Frisian
Flag
Indonesia
(FFI)
Cabang
Banjarmasin, Merchandiser Display juga
memiliki target serta memantau penjualan
atau mengambil sebagian pekerjaan sales
yakni menghitung jumlah penjualan serta
memantau produk pesaing. Alasan yang telah dipaparkan tersebut
merupakan alasan yang membuat sebagian
karyawan Merchandiser Display memilih
untuk
berhenti
bekerja
akibat
ketidakmampuan dalam tuntutan pekerjaan
yang
diberikan. Berdasarkan
lingkup
fenomena tersebut, maka peneliti tertarik
untuk meneliti “Analisis Beban Kerja Para
Merchandiser
Display
(MD)
Untuk
Menurunkan Tingkat Perputaran Karyawan
pada PT. Frisian Flag Indonesia (FFI)
Cabang Banjarmasin”. PT. 116 KINDAI, Vol 14, Nomor 2, April 2018, halaman 115-121 Frisian Flag pertama kali muncul di
Indonesia pada tahun 1922, ketika produk
susu Friesche Vlag di impor ke Indonesia
melalui
Cooperative
Condens-Fabriek. Sekitar tahun 1930-an, produk Frisian Flag
dan Friesche Flag mulai dipromosikan
dengan nama Soesoe Tjap Bendera. Tidak
jarang
kinerja
kayawan
mengalami fluktuasi. Kondisi seperti itu
diduga ada hubungannya dengan terlalu
lamanya seseorang dalam periode kerja di
satu unit atau di satu pekerjaan saja. Akibatnya timbul kebosanan dan bahkan
kejenuhan di kalangan mereka. Dalam
konteks pengembangan sumberdaya manusia
kondisi seperti itu tidak sehat. Maka
manajemen
seharusnya
menerapkan
kebijakan rotasi pekerjaan/karyawan secara
berkala. Rotasi atau perputaran pekerjaan tidak
selalu berjalan mulus. Bisa saja tindakan
seperti itu menuai protes dari karyawan yang
merasa dirinya sudah mapan pada posisi
yang sekarang. Karena itu kebijakan seperti
itu harus didasarkan pada data dan informasi
akurat
mengenai
kinerja
individu,
pengalaman kerja di unit, keterlibatan
pelatihan, dan perilaku karyawan. Kemudian
perlu
dilakukan
sosialisasi
agar
para
karyawan tidak merasa diperlakukan secara
tidak adil. Hal lain yang penting juga
dipertimbangkan bahwa rotasi pekerjaan
harus berbasis kompetensi dari karyawan
bersangkutan. Mereka harus disiapkan lebih
dahulu paling tidak dalam bentuk orientasi di
tempat pekerjaan yang baru. PT. Frisian Flag Indonesia (FFI)
Cabang Banjarmasin merupakan salah satu
anak cabang dari PT. Frisian Flag Indonesia
(FFI)
Indonesia
yang
bertugas
untuk
mendistrbutor
produk-produk
dari
PT. Frisian Flag Indonesia (FFI) seperti susu
kental manis (SKM), susu bubuk anak dan
susu UHT. Dalam perananannya, PT. Frisian
Flag Indonesia (FFI) Cabang Banjarmasin
memberlakukan jam kerja yang tinggi serta
tanggung jawab yang tinggi bagi seluruh
karyawan
khususnya
para
karyawan
Merchandiser Display (MD). PT. Frisian Flag Indonesia (FFI)
Cabang Banjarmasin merupakan salah satu
anak cabang dari PT. Frisian Flag Indonesia
(FFI)
Indonesia
yang
bertugas
untuk
mendistrbutor
produk-produk
dari
PT. Frisian Flag Indonesia (FFI) seperti susu
kental manis (SKM), susu bubuk anak dan
susu UHT. Dalam perananannya, PT. Frisian
Flag Indonesia (FFI) Cabang Banjarmasin
memberlakukan jam kerja yang tinggi serta
tanggung jawab yang tinggi bagi seluruh
karyawan
khususnya
para
karyawan
Merchandiser Display (MD). Karena itu rotasi pekerjaan dapat
dikategorikan sebagai bentuk pelatihan “on-
the-job”. Karyawan mengikuti pelatihan
silang antarjenis pekerjaan. Di sini, pelatih
memindahkan karyawan dari satu pekerjaan
ke
pekerjaan
lainnya. 116 KINDAI, Vol 14, Nomor 2, April 2018, halaman 115-121 Frisian Flag Indonesia (FFI)
Cabang Banjarmasin memberikan target bagi
seorang Merchandiser Display waktu selama
8
jam
untuk
mendisplay,
mendokumentasikan
(berupa
foto),
membawa sebagian produk yang tidak ada,
memasang
stiker/wallpaper
atau
banner
produk serta memantau penjualan produk
pesaing dengan jumlah took atau mini market
sebanyak 14 buah dengan cakupan wilayah
Banjarmasin, Banjarbaru, Martapura (Kab. Banjar) dan Kab. Barito Kuala (Marabahan
hingga Kapuas). PT. Frisian Flag Indonesia (FFI)
Cabang Banjarmasin memberikan target bagi
seorang Merchandiser Display waktu selama
8
jam
untuk
mendisplay,
mendokumentasikan
(berupa
foto),
membawa sebagian produk yang tidak ada,
memasang
stiker/wallpaper
atau
banner
produk serta memantau penjualan produk
pesaing dengan jumlah took atau mini market
sebanyak 14 buah dengan cakupan wilayah
Banjarmasin, Banjarbaru, Martapura (Kab. Banjar) dan Kab. Barito Kuala (Marabahan
hingga Kapuas). Studi Literatur Manajemen pada dasarnya berasal dari kata
to
manage
yang
artinya
mengatur. Manajemen adalah ilmu dan seni yang
mengatur proses pemanfaatan sumber daya
manusia dan sumber-sumber daya lainnya
secara efektif dan efesien untuk mencapai
suatu tujuan tertentu (Hasibuan, 2015:141). Manajemen ini terdiri dari enam unsur
yaitu, men, money, method, materialis,
machines, market. MSDM adalah suatu
bidang manajemen yang khusus mempelajari
hubungan dan peranan manusia dalam
organisasi perusahaan. Unsur MSDM adalah
manusia yang merupakan tenaga kerja,
dengan demikian fokus yang dipekajarai
MSDM
ini
hanyalah
masalah
yang
berhubungan tenaga kerja manusia saja. Manajemen sumber daya manusia adalah
seni dan ilmu pengadaan, pemngambangan Dampak dari perputaran karyawan
meliputi beberapa hal diantaranya terhadap
produktifitas, keabsenan dan pengunduran
diri. Meskipun hanya merupakan salah satu
faktor dari banyak faktor pengaruh lainnyaa,
kepuasaan
kerja
mempengaruhi
tingkat
perputaran
karyawan
dan
keabsensi. perusahaan bisa mengharapkan bahwa bila 118 KINDAI, Vol 14, Nomor 2, April 2018, halaman 115-121 118 KINDAI, Vol 14, Nomor 2, April 2018, halaman 115-121 Judul penelitian ini adalah analisis
beban kerja para Merchandiser Display (MD)
untuk
menurunkan
tingkat
perputaran
karyawan pada PT. Frisian Flag Indonesia
(FFI)
Cabang
Banjarmasin. Dalam
melakukan
penelitian
ini
penulis
menggunakan jenis penelitian deskriptif
kualitatif yaitu untuk mengetahui gambaran
dari objek penelitian dengan menggunakan
wawancara, observasi dan dokumentasi. Populasi dalam penelitian ini adalah seluruh
karyawan PT. Frisian Flag Indonesia (FFI)
Cabang Banjarmasin yang dijadikan sebagai
sampel penelitian yaitu sebanyak 5 orang
yang terdiri dari 1 orang Team Leader (TL),
2 karyawan Merchandiser Display (MD) dan
2 orang pemilik toko. dan manfaat sumber daya manusia sehingga
tujuan perusahaan dapat dihasilkan secara
daya guna dan kegairahan kerja (Manulang,
2014:32). Penjualan
(selling)
adalah
suatu
kegiatan yang ditujukan untuk mencari
pembeli,
mempengaruhi,
dan
memberi
petunjuk agar pembeli dapat menyesuaikan
kebutuhannya
dengan
produksi
yang
ditawarkan serta mengadakan perjanjian
mengenai harga yang menguntungkan bagi
kedua pihak (Moekijat, 2014:488). Robbins (2015:24) menjelaskan bahwa
perputaran karyawan (employee turnover)
adalah pengunduran diri permanen secara
sukarela maupun tidak sukarela dari suatu
organisasi atau proses dimana karyawan-
karyawan meninggalkan organisasi dan harus
digantikan. Hasil Penelitian dan Pembahasan Perputaraan karyawan yang tinggi
mengakibatkan
bengkaknya
biaya
perekrutmen,
seleksi,
dan
pelatihan. Sementara
itu
keinginan
berpindah
(Turnover) yang berujung pada keputusan
karyawan untuk meninggalkan pekerjaannya. Meningkatnya
tinggi
turnover
pada
perusahaan karyawan akan semakin banyak
menimbulkan berbagai potensi biaya, baik itu
biaya pelatihan yang sudah di investasikan
pada karyawan, tingkat kinerja yang mesti di
korbankan, maupun biaya rekruitmen dan
pelatihan kembali (Agustina, 2015:48). 1. Beban Kerja Yang Dilaksanakan oleh
Para Karyawan Merchandiser Display
(MD) pada PT. Frisian Flag Indonesia
(FFI) Cabang Banjarmasin yang Selama
ini Krisis global yang melanda seluruh
Negara pada rentan tahun 2013-2017 ini
memicu pergerakan-pergerakan ekonomi
yang cukup cepat disetiap sektornya dan
mengharuskan seluruh perusahaan dan
organisasi perekonomian di seluruh dunia
melakukan tindakan strategi ekonomi
yang tepat, cepat dan akurat untuk
menanggulangi krisis global tersebut, dan
resiko
dari
hal
itu
semua
adalah
penambahannya stress kerja dan tekanan
kerja untuk para pekerja yang terlibat,
disadari atau tidaknya oleh para pekerja
hal tersebut dapat memicu terjadinya
kenaikan beban kerja. Menurut Danang Sunyoto (2012:64),
beban kerja adalah yang terlalu banyak dapat
menyebabkan
ketegangan
dalam
diri
seseorang sehingga menimbulkan stress. Hal
ini bisa disebabkan oleh tingkat keahlian
yang dituntut terlalu tinggi, kecepatan kerja
mungkin
terlalu
tinggi,
volume
kerja
mungkin terlalu banyak dan sebagainya. Hasil penelitian oleh Alvin (2016)
berdasarkan survey yang di lakukan oleh
Canada life lebih dari setengah karyawan
di Inggris merasakan tingkat stress yang
menigkat dibandingkan dengan tahun lalu. Survey ini di lakukan kepada 1.100
karyawan
di
seluruh
Inggris
48%
karyawan mengatakan terlalu banyak
bekerja dan tidak memiliki work life
balance dan 22% karyawan menuturkan
mereka terlalu takut untuk menjelaskan
hal
tersebut
kepada
managemen Beban kerja adalah istilah yang mulai
dikenal sejak tahun 1970-an. Banyak ahli
yang telah mengemukakan definisi beban
kerja sehingga terdapat beberapa definisi
yang berbeda mengenai beban kerja. Ia
merupakan suatu konsep yang multi-dimensi,
sehingga sulit diperoleh satu kesimpulan saja
mengenai
definisi
yang
tepat
(Cain,
2016:68). Metode Penelitian Metode Penelitian Ardi & Nurriqli, Analisis Beban Kerja Pada Merchandiser Display (MD) Pada …. 1 119 persusahaan dan meminta bantuan kepada
atasan dan rekan kerjanya. waktu, maka para Team Leader harus
membagi
waktu
untuk
memberikan
training dan arahan kepada para karyawan
baru. Penelitian
tersebut
mengungkap
bahwa 17% mereka tidak mendapatkan
dukungan dari atasan dan managemen
walaupun hal tersebut telah mereka
jelaskan dan hanya 15% dari atasan yang
memahami kecemasan terhadap stress
yang karyawan alami. Dari hal itu semua
terdapat 40% karyawan yang memilih
melakukan cuti, ijin sakit ataupun alasan
lainnya hanya untuk mendapatkan waktu
senggang diluar jam kerja yang selama ini
mereka dapatkan. Masalah yang sering dihadapi para
Merchandiser
Display
(MD)
yang
mengakibatkan
tingginya
perputaran
karyawan di lapangan yakni kerap terjadi
penolakan
dari
pemilik
toko
untuk
melakukan pendisplayan barang atau
pemasangan spanduk ditoko. Padahal hal
tersebut merupakan tugas dari para
karyawan Merchandiser Display (MD)
sebagai bukti pelaporan ke kantor pusat. Hal tersebut mengakibatkan terhambatnya
pekerjaan seorang MD. Hal tersebut hampir serupa dengan
apa yang dialami oleh para karyawan
Merchandiser Display (MD) pada PT. Frisian Flag Indonesia (FFI) Cabang
Banjarmasin yang selama ini. Dari hasil
observasi sistem kerja yang terjadi pada
para karyawan Merchandiser Display
(MD) pada PT. Frisian Flag Indonesia
(FFI) Cabang Banjarmasin yakni setiap
karyawan terlihat bekerja dengan sangat
cekatan, cepat dan sering di temukan
karyawan yang terlihat memegang jidat,
tampak kesal, kelelahan dan sering
mengeluh setiap kali harus menyerahkan
laporan atau absen di kantor. Masalah lain juga sering dilakukan
oleh para karyawan Merchandiser Display
(MD) seperti mendisplay barang toko
yang tidak ada dengan membawa barang
dari perusahaan dan memnjamkannya
hanya untuk sementara waktu selama
proses pelaporan kerja ke kantor pusat
berlangsung, namun kecurangan tersebut
sifatnya kesengajaan dan demi cepatnya
kerja
para
karyawan
Merchandiser
Display (MD) serta tidak memberatkan
pemilik toko untuk membeli produk yang
tidak ada karena menurut pemilik toko,
pembelian
produk
barang
dagangan
dilakukan
pada
waktu
yang
telah
ditentukan serta menunggu stok barang
yang
lain
habis
agar
tidak
terjadi
penumpukan barang. Pergantian tersebut tidak serta merta
terjadi dalam waktu bersamaan namun
bertahap. Berdasarkan haisl dokumentasi
yang ditemukan peneliti di bagian HRD
PT. Frisian Flag Indonesia (FFI) Cabang
Banjarmasin, dalam setiap bulan sebanyak
2-5 orang karyawan Merchandiser Display
(MD) mengundurkan dengan berbagai
alasan, salah satunya yaitu jadwal kerja
yang terlalu padat dan tidak berimbang
dengan kemampuan karyawan. Metode Penelitian Posisi
karyawan yang kosong harus segera
digantikan oleh karyawan baru, namun hal
ini dapat berdampak pada kerugian
perusahaan baik secara operasional dan
secara teknis karena dalam merekrut
karyawan
baru
perusahaan
harus
mengalokasikan dana untuk memajang
poster rekrutmen tenaga kerja, memasang
iklan dan biaya operasional lain yang
dibutuhkan dalam rekrutmen tenaga kerja
baru khususnya bagian Merchandiser
Display (MD), namun ditinjau dari segi
2 Penerapan
Beban
Kerja
yang
Dapat
Menurunkan Tingkat Perputaran Karyawan
pada PT. Frisian Flag Indonesia (FFI)
Cabang Banjarmasin Dalam mengurangi dampak beban
kerja bagi karyawan yang mengakibatkan
tingginya perputaran karyawan maka
sebaiknya PT. Frisian Flag Indonesia
(FFI)
Cabang
Banjarmasin
melalui
pimpinan yang ada menambah jumlah
karyawan
untuk
mengurangi
jumlah
pekerjaan
yang
dilakukan. Untuk
mengurangi absennya karyawan seperti
cuti, sakit, izin urusan keluarga, izin
urusan
perkuliahan
akibat
karyawan
sering pulang larut malam dengan jam
kerja yang berlebih sebaiknya pihak 120 KINDAI, Vol 14, Nomor 2, April 2018, halaman 115-121 gratis bagi perusahaan sehingga karyawan
tidak perlu memalsukan data dan tidak
pula
menurunkan
prestasi
karyawan
sebagai Merchandiser Display (MD). perusahaan memasukan hal tersebut ke
dalam jam lebur maka karyawan sebagai
ganti dari jam yang berlebih diberikan
uang insentif sebagai bentuk imbalan atau
bonus dengan tujuanmampu memberikan
motivasi bagi karyawan dalam bekerja. Sebaiknya PT. Frisian Flag Indonesia
(FFI) Cabang Banjarmasin menambah
jumlah MD sehingga satu orang MD
hanya memiliki target 7 toko dalam
seharinya sehingga target perusahaan
terpenuhi dengan baik. Kesimpulan Berdasarkan analisis beban kerja saat
ini, sering dilakukan oleh para karyawan
Merchandiser
Display
(MD)
seperti
mendisplay barang toko yang tidak ada
dengan membawa barang dari perusahaan
dan memnjamkannya hanya untuk sementara
waktu selama proses pelaporan kerja ke
kantor pusat berlangsung, namun kecurangan
tersebut sifatnya kesengajaan dan demi
cepatnya kerja para karyawan Merchandiser
Display (MD) serta tidak memberatkan
pemilik toko. Selain
itu,
untuk
mengurangi
terjadinya peningkatan perputaran kerja
perusahaan sebaiknya memberikan reward
abagi karyawan yang berprestasi dan
memberikan
kesempatan
peningkatan
jenjang
karir
bagi
karyawan
guna
meningkatkan
ilmu
pengetahuan
karyawan dalam bekerja sehinggga kinerja
karyawan lebih baik dalam bekerja serta
perusahaan
juga
dapat
memberikan
training atau pelatihan tambahan bagi
seluruh karyawan guna meningkatkan
kualitas kerja dan meningkatkan penjualan
perusahaan. Penting
bagi
Frisian
Flag
untuk
menambah jumlah MD agar tidak ada lagi
MD yang kelabakan dalam bekerja dan lebih
menghargai para MD melalui pemberian
reward yang sesuai dengan kinerja mereka. Setiap ada pekerjaan yang membutuhkan
lembur
maka
harus
disiapkan
uang
lemburnya. Pihak PT. Frisian Flag Indonesia
(FFI)
Cabang
Banjarmasin
sebaiknya
melakukan analisis lagi tentang produk yang
lebih diminati oleh masyarakat. PT. Frisian
Flag Indonesia (FFI) Cabang Banjarmasin
juga dapat memberikan display atau sampel
produk yang tidak untuk dijual kepada para
pemilik toko yang nantinya akan digunakan
untuk pelaporan kegiatan para Merchandiser
Display (MD) Untuk mengurangi terjadinya kasus
kecurangan
pendisplayan
barang
dagangan, PT. Frisian Flag Indonesia
(FFI) Cabang Banjarmasin melalui bagian
sales giat melakukan pengecekkan kepada
toko-toko
dan
meminta
agar
para
pengecer aatau pemilik toko membeli
produk best seller kepada pemilik toko
dengan jumlah yang lebih banyak. Serta
pihak PT. Frisian Flag Indonesia (FFI)
Cabang
Banjarmasin
sebaiknya
melakukan analisis lagi tentang produk
yang lebih diminati oleh masyarakat. PT. Frisian Flag Indonesia (FFI) Cabang
Banjarmasin
juga dapat
memberikan
display atau sampel produk yang tidak
untuk dijual kepada para pemilik toko
yang nantinya akan digunakan untuk
pelaporan kegiatan para Merchandiser
Display (MD) atau memberikan hadiah
secara Cuma-Cuma beberapa produk susu
yang telah habis sesuai dengan keperluan
pendisplayan bagi toko penjual produk
PT. Frisian Flag Indonesia (FFI) guna
meningkatkan loyalitas terhadap para para
agen dan pengecer serta guna promosi DAFTAR PUSTAKA
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A Human(e) Factor in Clinical Decision Support Systems
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JMIR. Journal of medical internet research/Journal of medical internet research
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A Human(e) Factor in Clinical Decision Support Systems Tim Bezemer1, MSc; Mark CH de Groot1, PhD; Enja Blasse1, BSc; Maarten J ten Berg1, PhD; Teus H Kappen2, MD,
PhD; Annelien L Bredenoord3, PhD; Wouter W van Solinge1, PhD; Imo E Hoefer1, MD, PhD; Saskia Haitjema1, MD,
PhD Corresponding Author:
Saskia Haitjema, MD, PhD
Laboratory of Clinical Chemistry and Haematology
University Medical Center Utrecht
Room G03.550
Heidelberglaan 100
Utrecht, 3584 CX
Netherlands
Phone: +31 88 755 5555
Email: S.Haitjema@umcutrecht.nl KEYWORDS clinical decision support; big data; artificial intelligence; machine learning; deep learning; precision medicine; expert systems;
data science; health care providers clinical decision support; big data; artificial intelligence; machine learning; deep learning; precision medicine; expert systems;
data science; health care providers medical training is dedicated to learning how to distinguish
relevant from irrelevant information to ultimately make the best
decision possible. Yet, the overwhelming amount, production
speed, multidimensionality, and potential value of data currently
available (often simplified and referred to as big data) exceed
the limits of understanding of the human brain. Abstract The overwhelming amount, production speed, multidimensionality, and potential value of data currently available—often simplified
and referred to as big data —exceed the limits of understanding of the human brain. At the same time, developments in data
analytics and computational power provide the opportunity to obtain new insights and transfer data-provided added value to
clinical practice in real time. What is the role of the health care professional in collaboration with the data scientist in the changing
landscape of modern care? We discuss how health care professionals should provide expert knowledge in each of the stages of
clinical decision support design: data level, algorithm level, and decision support level. Including various ethical considerations,
we advocate for health care professionals to responsibly initiate and guide interprofessional teams, including patients, and embrace
novel analytic technologies to translate big data into patient benefit driven by human(e) values. JOURNAL OF MEDICAL INTERNET RESEARCH JOURNAL OF MEDICAL INTERNET RESEARCH Bezemer et al J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 1
(page number not for citation purposes) http://www.jmir.org/2019/3/e11732/ 1Laboratory of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
2Department of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
3Department of Medical Humanities, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands Introduction clinically relevant outcomes based on input data. A decision
can be supported by a rule or a model as simple as an if-then
rule (eg, built-in reference values for laboratory measurements)
or a complex prediction model (eg, artificial intelligence [AI]
pointing radiologists to possible incidental findings). The
corresponding output of a CDS system varies from showing the
generated prediction as input for a clinical decision (eg,
automatically generated early warning scores) to acting upon
the decision without human interference (eg, an implantable
cardioverter defibrillator). clinically relevant outcomes based on input data. A decision
can be supported by a rule or a model as simple as an if-then
rule (eg, built-in reference values for laboratory measurements)
or a complex prediction model (eg, artificial intelligence [AI]
pointing radiologists to possible incidental findings). The
corresponding output of a CDS system varies from showing the
generated prediction as input for a clinical decision (eg,
automatically generated early warning scores) to acting upon
the decision without human interference (eg, an implantable
cardioverter defibrillator). Recent reports on CDS systems in radiology and pathology are
promising. Computers can, for example, support radiologists
in interpreting mammograms or help pathologists in the
classification of brain tumors [2,3]. Google recently also
received the Food and Drug Administration’s approval for the
introduction of a diabetic retinopathy algorithm based on retinal
imaging [4]. Moreover, development of complex algorithms
now starts to transcend beyond imaging specialties [5]. If the computer seems to know better anyhow, should we fully
abolish medical curricula and focus on data scientists who Table 1. This table shows the 3 levels in the building process of a clinical decision support system and some examples of where clinical expert knowledge
of health care professionals plays a role in each of these levels. Table 1. This table shows the 3 levels in the building process of a clinical decision support system and some examples of where clinical expert knowledge
of health care professionals plays a role in each of these levels. J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 2
(page number not for citation purposes) Introduction Although medical data collection and interpretation used to be
the domain of health care professionals, the broad availability
of health data in unprecedented amounts has significantly and
irrevocably changed the landscape of modern care. Even patients
now start to collect their own health data using, for instance,
smart watches or apps, which may become an important source
of health data in the future. Conversely, developments in data analytics and computational
power provide the opportunity to obtain new insights and
transfer data-provided added value to clinical practice in real
time. Such systems are called clinical decision support (CDS)
and can broadly be defined as “information systems designed
to aid in the clinical decision-making process, by integrating
different sources of health information such as Electronic Health
Records, laboratory test results, etc” [1]. CDS systems come in
many forms and functions, but all share the aim of generating The craft of translating information into the right diagnosis and
corresponding treatment is daily routine for health care
professionals. It entails collecting the relevant data for each
individual patient, integrating this information with pre-existing
knowledge, drawing a conclusion, and initiating appropriate
treatment in dialogue with the patient. A significant portion of http://www.jmir.org/2019/3/e11732/ XSL•FO
RenderX XSL•FO
RenderX JOURNAL OF MEDICAL INTERNET RESEARCH Bezemer et al develop CDS systems, with lay people gathering the information
required for them, entitling the computer to do the interpretation
instead? Probably not. There are at least two human beings
present when a medical decision is made: a patient and a health
care professional. Recently, the role of the patient as a disease
experience expert [6] and his or her role in shared decision
making have come into awareness. Here, we focus on the role
of health care professionals and their expert knowledge. Throughout this paper, we will briefly touch upon various ethical
issues. However, we strongly feel ethical considerations
pertaining to algorithmic decision making deserve a discussion
of their own, and kindly refer the reader to a recent overview
on this topic [7]. In this paper, we show that a well-designed
CDS system needs expert knowledge of health care professionals
in all 3 phases of development: data, algorithm, and decision
support (Table 1). Moreover, in the era of CDS, we advocate
for health care professionals to responsibly initiate and guide
interprofessional teams, including patients, and embrace novel
analytic technologies to translate big data into patient benefit
driven by human(e) values. Data Developing a CDS system starts with data. Data come in many
forms and sets (Table 2). Structured data such as numeric data
(eg, laboratory measurements and blood pressure) or categorical
data (eg, hypertension yes/no or educational level) are easiest
to work with in a model. This is the first point at which expert
knowledge of health care professionals may enter CDS
development process. However, a substantial part of day-to-day
clinical decisions is based on unstructured free-text entries,
encompassing, for example, patient history and physical
examination observations by doctors or regular notes from
nurses. Although discouraged in modern electronic health record
(EHR) systems, unstructured free-text clinical notes still provide
irreplaceable information and context to health care
professionals. Using free text introduces a number of challenges. Aside from the obvious ones, such as writing style and typos,
medical text is incredibly site specific and can be highly biased. This phenomenon ranges from language- and country-specific
abbreviations to jargon differences between 2 wards within the
same hospital (eg, AF for atrial flutter and amniotic fluid or MS
for mitral stenosis and multiple sclerosis). This is an
understandable effect of rapid communication between health
care professionals or of health care professionals taking personal
notes to capture their train of thought. However, this leads to a
given phrase, term, acronym, or abbreviation being context
specific and having different meanings in different situations. Introduction Poor: free text contains jargon-specif-
ic, ambiguous abbreviations (eg, PCI:
percutaneous coronary interven-
tion/prophylactic cranial irradiation). Excellent: data are recorded in a
standardized way, designed to prevent
noise. Excellent: data are recorded in a
standardized way, designed to prevent
noise. Very poor: These type of data are
very sensitive to interobserver noise
(eg, personal abbreviations, spelling
mistakes, and personal focus in
recording certain types of informa-
tion). Good: data are often machine-derived
or recorded in a standardized way. However, bias because of differences
in information-recording habits
among health care professionals may
arise. Limited: trials are designed and con-
ducted for one specific research
question. Limited: trials are designed and con-
ducted for one specific research
question. Excellent: these type of data are
readily available, contain a lot of
context (see Context completeness),
and can thus be repurposed for a vari-
ety of applications. Excellent: these type of data are
readily available and can thus be used
for a plethora of purposes. Poor: study design is hit-or-miss. Bias
cannot be corrected after the data
recording process. Excellent: study design can be revisit-
ed if unanticipated bias effects arise. In this sense, bias could be corrected
by altering the data selection. Excellent: study design can be revisit-
ed if unanticipated bias effects arise. In this sense, bias could be corrected
by altering the data selection. Free-text interpretation, therefore, heavily depends on contextual
expert knowledge. J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 3
(page number not for citation purposes) Introduction Example of expert knowledge
Level and example of issue
Data level
Hemoglobin reference range to diagnose anemia
Laboratory thresholds
Body mass index
Derived measurementsa
Grouping of related diagnoses in a study population
Diagnostic codes
Same abbreviations having different meanings
Jargon
Glucose values are highly dependent on the time of day (eg, pre- or postprandial)
Temporality
Algorithm level
How to handle missing data (eg, missing not at random)
Methodological choices
Constructing relevant derived variables from raw data (eg, torsades de pointes, Wolff-Parkinson-White syn-
drome)
Feature engineeringa
For example, oxygen saturation of zero caused by a slipping pulse oximeter, switched leads in an electrocar-
diogram
Artifacts
Decision support level
Risk probability of 0.75 requires a warning (amber light) in a CDSb system
Interpretation of model output
Tuning of implantable cardioverter defibrillator
Degree of autonomy
Weighing a CDS system’s advice to treat while considering quality of life versus treatment burden in elderly
cancer patients in a shared decision-making context
Knowledge on usefulness
aDerived measurements may occur at the data level but also at the algorithm level; the former being undesirable because any manipulation at the data
level may result in a loss of information. bCDS: clinical decision support. aDerived measurements may occur at the data level but also at the algorithm level; the former being undesirable because any manipulation at the data
level may result in a loss of information. bCDS: clinical decision support. bCDS: clinical decision support. J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 2
(page number not for citation purposes) http://www.jmir.org/2019/3/e11732/ http://www.jmir.org/2019/3/e11732/ XSL•FO
RenderX JOURNAL OF MEDICAL INTERNET RESEARCH Bezemer et al Table 2. Table comparing different types of clinical data on some points important to clinical decision support systems. Structured data/electronic health
record (eg, lab values and smoking
status)
Registry/trial data (eg, case record
forms case record forms and question-
naires)
Electronic health record free-text/un-
structured data (eg, clinical notes)
Clinical decision support issues
Depends on implementation. Context
may be lost because of predetermined
categorization. Poor: context is essentially absent as
a priori interpretation is an integral
part of recording data in case record
forms. Excellent: contextual information can
be included. Context completeness
Excellent: data can be parsed or direct-
ly used by computers. Good: data are uniformly formatted
and can be parsed by computers. Poor: information is mostly useful for
case-specific usage by humans. http://www.jmir.org/2019/3/e11732/ Introduction May
require text mining/text retrieval to
convert to a machine-readable format. Machine readability
Good: lab values can be converted
using reference values. Structured
data, such as smoking and hyperten-
sive status, can be reformatted for in-
teroperability. Excellent: trial data are usually collect-
ed using a standardized protocol, al-
lowing for interoperability between
institutions. Poor: free text contains jargon-specif-
ic, ambiguous abbreviations (eg, PCI:
percutaneous coronary interven-
tion/prophylactic cranial irradiation). Translatability (between institu-
tions)
Good: data are often machine-derived
or recorded in a standardized way. However, bias because of differences
in information-recording habits
among health care professionals may
arise. Excellent: data are recorded in a
standardized way, designed to prevent
noise. Very poor: These type of data are
very sensitive to interobserver noise
(eg, personal abbreviations, spelling
mistakes, and personal focus in
recording certain types of informa-
tion). Noise resistance
Excellent: these type of data are
readily available and can thus be used
for a plethora of purposes. Limited: trials are designed and con-
ducted for one specific research
question. Excellent: these type of data are
readily available, contain a lot of
context (see Context completeness),
and can thus be repurposed for a vari-
ety of applications. Availability for reuse/general
applicability
Excellent: study design can be revisit-
ed if unanticipated bias effects arise. In this sense, bias could be corrected
by altering the data selection. Poor: study design is hit-or-miss. Bias
cannot be corrected after the data
recording process. Excellent: study design can be revisit-
ed if unanticipated bias effects arise. In this sense, bias could be corrected
by altering the data selection. Design flexibility
Free text interpretation therefore heavily depends on contextual Structured data/electronic health
record (eg, lab values and smoking
status) Poor: context is essentially absent as
a priori interpretation is an integral
part of recording data in case record
forms. Depends on implementation. Context
may be lost because of predetermined
categorization. Poor: information is mostly useful for
case-specific usage by humans. May
require text mining/text retrieval to
convert to a machine-readable format. Excellent: data can be parsed or direct-
ly used by computers. Excellent: data can be parsed or direct-
ly used by computers. Good: lab values can be converted
using reference values. Structured
data, such as smoking and hyperten-
sive status, can be reformatted for in-
teroperability. Excellent: trial data are usually collect-
ed using a standardized protocol, al-
lowing for interoperability between
institutions. Limited: trials are designed and con-
ducted for one specific research
question. Availability for reuse/general
applicability Algorithm Due to this rather artificial way of collecting data as compared
with clinical care, research databases and registries are unsuited
for the creation of broadly applicable CDS systems using
increasingly complex models. Moreover, CDS systems
preferably apply information that is already available to the care
provider to aid in the clinical process without impeding it by
requiring the collection of various additional data. Data from
EHRs contain real-world data from clinical practice. EHR-based
datasets are, therefore, more suitable for CDS system
development. At the same time, EHR systems were designed
as a virtual patient chart and not necessarily for reuse of the
data they capture. As such, turning them into valuable
EHR-based datasets takes careful and skilled data processing. For example, EHR data require more data cleaning (eg, how to
handle not at random missing data—also a prime example of
where clinical expert knowledge plays a vital role), careful
assessment of informed presence bias (ie, acknowledgment of
the bias introduced by the medical process), and decisions are
to be made about how certain variables are derived from often
unstructured data such as free text in EHR systems or clinical
notes (eg, define diabetes mellitus and define hypertension) [9]. As only health care professionals themselves know about these
inherent biases of working in an EHR, expert knowledge is
indispensable. Table 2 compares different types of clinical data
on a number of points important to CDS development. The
Utrecht Patient Oriented Database in the University Medical
Center Utrecht, the Netherlands, is an example of a routinely
updated EHR-based database, containing data from multiple
hospital sources of about 2.3 million patients (Multimedia
Appendix 1, [10]). Utrecht Patient Oriented Database is curated
by clinicians who use their expert knowledge in the design of
the database to counter the known biases that are inherent to
EHR data. Furthermore, they assist their clinical colleagues in
transforming relevant data into meaningful variables to answer
clinically relevant research questions and to develop CDS
systems. After the selection of the right data to develop the CDS system,
the next phase is to develop a model (ie, the recipe that describes
the relationship between variables and outcome in the data) by
using an algorithm (a predetermined computational method to
derive such a recipe from the data). Depending on the
complexity of the modeling task, model development usually
contains a phase of model training and phase of model
validation. Algorithm In the training phase, a model that best fits the data
(ie, makes the best predictions on the training data) is developed,
and in the validation phase, tests are carried out to check whether
the model is correct (ie, generalizes to the population). What
constitutes a good prediction is dependent on the (clinical)
research question (ie, identify all positive diagnoses at any cost
or find a trade-off between cost and efficacy). It is common
practice to test the model on a new dataset in the validation
phase. This can be a previously unseen part of the total dataset
or an entirely new dataset. Although modeling and algorithm
development are not the natural habitat for most health care
professionals, their knowledge and input are invaluable in this
phase. Data Sources Widely used datasets for CDS systems include clinical trials
and medical registries. Data collected within trials are of
importance for a predefined research question. They are usually
of high quality, may be stored in great detail, and are often richly
annotated with expert knowledge (diagnostic codes and
predetermined disease severity classifications). Medical
registries are developed for quality control and research
purposes. They are used to record a predefined limited number
of variables for a specific group of patients, often focusing on
particular conditions and diagnoses. Careful maintenance of
research databases and registries allows for the collection of
data from patients in a clean and systematic way according to
protocol, preventing missingness and loss to follow-up as much
as possible. However, because of their restrictive nature,
research datasets and medical registries discard valuable
contextual information, such as free-text notes, about included
patients. Therefore, they show a limited, predefined scope of
the patient’s condition. Furthermore, women and minorities are
underrepresented in research datasets, and patients who are
included can suffer from the Hawthorne effect (ie, altered
behavior because of the fact that one is a study subject) [8]. The
concept of research datasets and medical registries does not
allow for flexibility in study design; the decision on what
information to collect (and in what way) is single and final. http://www.jmir.org/2019/3/e11732/ XSL•FO
RenderX XSL•FO
RenderX JOURNAL OF MEDICAL INTERNET RESEARCH Bezemer et al of data can carry value that only a health care professional is
able to acknowledge, and the same holds true for outliers. Moreover, information beyond the scope cannot be added
without considerable effort at a later moment (if anonymization
or informed consent regulations do not prevent this at all). Simple Models In simple models, the input of expert knowledge of health care
professionals is well established. As mentioned before, the
simplest form of decision models is if-then rules. Examples of
such models include laboratory reference values based on
statistical distributions of patient measurements (eg, if fasting
glucose >11 mmol/L, then the patient probably has diabetes
mellitus), medical risk scores (eg, if Glasgow Coma Scale is
lower than 9, then consider intubating the patient), rule-based
warnings for medication (eg, if the patient has impaired kidney
function, then do not allow prescription for metformin), and
alarms on the intensive care when vital sign thresholds are
violated (eg, sound an alarm if saturation levels drop below
95%) [11]. When building these simple models into CDS
systems, the thresholds and reference values need to be provided
by health care professionals. J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 4
(page number not for citation purposes) Modeling Characteristics Although all models remain specific for a given question (eg,
what decision to support), building a CDS system is not a static
process. It often includes rounds of major and minor changes
of variables included and algorithmic fine-tuning. Moreover,
some algorithms are never really finished. These algorithms are
called self-learning and are designed to incorporate newly
acquired data over time into their modeling processes. One of
the reasons one may want to adapt an algorithm is spurious
associations. Agnostic analyses that do not incorporate current
understanding are prone to implement clinically irrelevant or
even false associations with potentially deleterious consequences
[17]. Outcomes of CDS models, therefore, need critical appraisal
from experts regularly [17,18]. Unsupervised learning algorithms aim to uncover regularities
in data without being guided by a prelabeling of the data (ie,
clustering algorithms). The scope of this technique is often to
discover novel subgroups within data and populations [12,14]. This approach is useful when information on the characteristics
needed to discriminate between patients and controls is not yet
available, or when one aims to find starting points for more
fundamental scientific research. Therefore, this approach is
usually used to find novel patterns in the data instead of making
predictions and is thus generally more exploratory in nature. An advantage is, thus, that it allows for hypothesis-free or
agnostic detection of patterns even when expert knowledge on
the difference between subgroups is missing. Nevertheless,
unsupervised systems can still profit from expert knowledge in
the modeling process, as for example, clustering algorithms
often require the user to preset the desired number of clusters,
a decision that may be based on evidence of a known pattern
in the population of interest. As health care professionals are responsible for the decisions
they make, they highly value transparency of a model’s decision
process and its development [19]. Whether or not the respective
variables are shared with the health care professionals can be
up for debate, as sharing of certain variables may lead to
undesirable side effects. For example, an algorithm that states
that a certain keyword in a patient history carries value as a
warning, one may not want the health care professional to know
this keyword to prevent it from being stated just to indicate a
warning. A CDS system can be transparent to a greater or lesser
extent. Complex Models Before the data can be used to build a model, they need to be
preprocessed. Preprocessing steps define variables from raw
data that a model can use. During preprocessing steps, the expert
knowledge of health care professionals is important to derive
meaningful variables and values from the data. For example,
disease activity variables need to be constructed because
research guidelines and accompanying questionnaires are not
regularly applied in clinical care. Furthermore, health care
professionals may direct data scientists away from composite
endpoints (eg, a patient has a 50% increased risk of pneumonia,
pulmonary embolism, or chronic obstructive pulmonary disease)
as they are less useful for CDS than specific endpoints that
require specific actions (eg, a 50% increased risk of
pneumococcal pneumonia). Moreover, the extraction of features
from the data, such as differences in laboratory values over
time, requires expert knowledge to determine appropriate time
windows. Although the accuracy of algorithms generally
increases if missing values and outliers are removed, the absence These traditional models and clinical scores are generally
straightforward (Apgar score and Glasgow coma scale) to make
them easily actionable, even in stressful situations. The beauty
of their simplicity has ensured their broad application, but their
sensitivity and specificity are unavoidably limited and usually
include a substantial gray area. Moreover, most current models
are based on regression or correlation measures that are less
able to capture complex relationships in the data. The
availability of machine learning offers novel approaches for
developing medical models and risk scores. Machine learning
refers to a group of statistical techniques that can be used to
discern even complex patterns or regularities in data. They do
so through an iterative process (in other words, the patterns are
learned, hence machine learning) and produce a prediction
model based on the learned patterns, which can then be
incorporated in clinical support tools. [12,13]. In this complex http://www.jmir.org/2019/3/e11732/ XSL•FO
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RenderX JOURNAL OF MEDICAL INTERNET RESEARCH Bezemer et al recognize patterns in complex datasets that can subsequently
be used by (supervised) machine learning models, for example,
using clusters of a disease as outcome variables. In some
experiments, deep learning methods have been shown to have
superior prediction accuracy compared with other methods [15]. With EHRs as input, deep learning can improve prediction
performance in modeling tasks that can be used for CDS [16]. Complex Models Deep nets have, for example, already been proven useful in the
computer-aided assessment and interpretation of medical images
[4]. However, the rule of thumb garbage in is garbage out also
applies when it comes to deep learning. If death is included in
a model to predict readmission, it will probably come up as the
most predictive variable, yet this might not be the actionable
insight a health care professional is looking for. Guidance of
health care professionals is needed when applying machine
learning in the medical field. type of modeling, input of expert knowledge from health care
professionals may seem less obvious. However, model
development is not a neutral process and even the values of
health care professionals may be of additional benefit [7]. Machine learning algorithms can be roughly divided into 2
classes: (1) supervised learning algorithms that make use of
prior (expert) knowledge about outcomes to guide the process
and (2) unsupervised learning algorithms that aim to discover
data patterns irrespective of model outcome. Input data for supervised learning algorithms need to be labeled
and selected manually (eg, positive/negative diagnosis,
benign/malign, and concentration of inflammatory marker X)
before modeling, and these data then constitute the outcome
variable to predict for new cases. In other words, supervised
learning systems rely heavily on expert knowledge [12,14]. Supervision is not only needed for the prelabeling of cases and
noncases but also for statistical and methodological choices. Such choices include, for example, the choice of which
algorithm to use and whether to normalize/standardize the data,
and more algorithm-specific choices, such as the number of
layers and nodes in a neural network or number of splits in a
decision tree. Making appropriate choices on these aspects
requires input from data scientists and medical scientists alike
and will significantly affect the validity of the model. When the
input variables in supervised models are selected by health care
professionals and are based on prior knowledge and scientific
evidence, supervised machine learning models may provide a
safe ground for decision tools. J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 5
(page number not for citation purposes) http://www.jmir.org/2019/3/e11732/ Decision Support Although such experience-based recommendations remain
useful, the most important evidence for the usefulness of a CDS
system that will influence acceptation by health care
professionals will be its ability to influence clinical outcomes. Unfortunately, the evidence for CDS systems’ frequently
purported advantages over old-fashioned clinical decision in
improving clinical outcome, workload, and economic cost is
scarce. However, CDS systems have been shown to improve
health care processes and are the best way to decrease
unnecessary clinical testing [27]. Implementation and use of a CDS system consist of multiple
steps, including presenting the algorithm output in a specific
way, interpretation by the health care professional, and
eventually, the medical decision that is made. A CDS system
is not a bare model producing just an output (eg, 65%). Almost
always, it contains some level of interpretation. For example,
laboratory measurements are often displayed in black, red, or
blue to indicate whether they fall within or are higher/lower
than a reference range. Risk percentages may be accompanied
by a traffic light coloring scheme, indicating risk compared with
a standard disease course. These manners of presentation (eg,
how to report variables and what kind of user interface) are
probably the most intuitive place to integrate the expert
knowledge of a health care professional. Indeed, health care
professionals and patients are often included in the user
experience or user interface design phases to discuss
implementation. However, this is frequently perceived too late
in the CDS development process, and therefore, may yield an
opposite effect. Acceptation of CDS by health care professionals depends on
the degree to which they feel autonomous in their decision
making. Rather than choosing colors for a user interface, being
part of the development process, identifying the appropriate
data, discussing model design, and validation may help health
care professionals to feel in control in the midst of forces that
are transforming daily clinical practice. A supportive
organization with inspiring leadership encouraging involvement
of health care professionals in the development of CDS systems
stimulates this transformation. Furthermore, model results have to be interpreted in a specific
medical context before the CDS system can provide the actual
tailored CDS and lead to action. This step is usually supervised
by health care professionals. Modeling Characteristics A CDS system that contains an algorithm that is too
complex to comprehend can result in a so-called black box
situation, where it is difficult or even impossible for a human
brain to understand how the prediction model works. This
renders validation of these black box algorithms extremely
important. Unfortunately, there is a trade-off between attainable
model complexity and model interpretability [20]. The
opportunities that more complex models may provide should
not be underestimated. To fully benefit from complex data and
incorporate it into clinical practice, health care professionals
may need to accept that the ultimate goal of thoroughly clinically
validated predictive models in CDS systems may not be to be
fully and completely interpretable or transparent but rather to
be useful to a clinical purpose and influence patient outcomes. The process of model development, including choices that are
made based on expert knowledge of both health care
professional and data scientist, should always be as transparent
as possible for all parties involved. Transparency of the A group of supervised and unsupervised techniques that is
currently the state-of-the-art in machine learning is called deep
learning. These techniques often involve artificial neural
networks and attempt to learn increasingly deep representations
of associations in the data. Deep neural networks (deep nets)
are capable of automatically determining how to represent the
input data in the best way for the question at hand. Theoretically,
deep nets do not even require manual data preparation. In
essence, the only requirements are to standardize numeric data
and to encode categorical data into a numerical format
interpretable by the algorithm. Deep learning is often used to http://www.jmir.org/2019/3/e11732/ XSL•FO
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RenderX JOURNAL OF MEDICAL INTERNET RESEARCH Bezemer et al basis to make them meaningful as opposed to being perceived
as a nuisance has been shown to improve compliance in critical
care [11]. Incorporation of the multitude of emerging CDS
systems into clinical practice needs streamlining and thorough
knowledge of the medical process. Health care professionals
should take initiative to lead interprofessional teams, deciding
how and when to report CDS. development process may ultimately be critical for acceptance
of CDS systems in clinical practice. Moreover, depending on the complexity of the algorithm,
internal (ie, on the same data) and external (ie, on other data)
validation steps are vital before patients are exposed to the
output. Decision Support For instance, a cardiologist will
double
check
the
automated
interpretation
of
the
electrocardiogram (ECG) machine, and it is very likely that an
eye specialist will supervise Google’s new diabetic retinopathy
algorithm before any treatment is started [4]. Supervision of
interpretation does not necessarily need a thorough
understanding of the algorithm itself. Rather, it is the human
intervention of integrating the contextual knowledge of the
health care professional and, even more importantly, the
patient’s wishes, before acting upon the algorithm’s output. Modeling Characteristics To what extent CDS systems need to be assessed as
medical devices, according to their intended use, is still up for
debate [21,22]. If-then CDS systems and CDS systems written
to combine data into a visually attractive interface may be
excluded from extensive clinical research but still need quality
checks, regular revisiting of the algorithm, and piloting in
clinical practice to ensure the right information is displayed for
the right patient (does the algorithm take the most recent value
from the table and did column names change). Furthermore,
scientific evidence on validity and added value of the CDS
system likely increases its use by health care professionals. Fortunately, such research is currently gaining traction in the
medical community [23]. Unfortunately, systematic scientific evidence outlining what
requirements a useful CDS system should meet is missing [24]
and has been replaced by more or less anecdotic or empirical
recommendations for many years. The Ten Commandments of
Clinical Decision Support [25] lists factors as speed, anticipation
of information need, integration into the workflow, or general
ease-of-use type of advice in alerts. Moreover, negative advice,
for example, an advice not to perform or order a particular test,
is rarely accepted when no alternative is suggested, and the
method of alert presentation has been found to be crucial to alert
compliance [26]. J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 6
(page number not for citation purposes) http://www.jmir.org/2019/3/e11732/ Bezemer et al Still, the decision to implement a pacemaker and monitoring
and tweaking its action and settings during follow-up are a
doctor’s job, including contextual expert knowledge and the
patient’s own preferences into the CDS system. Therefore,
clinical reasoning is unlikely to ever be completely replaced by
fully automated decision making through machine learning
without human intervention. Even when expert knowledge is
already embedded in medical data, and when the CDS system
is clinically validated, the need for health care professionals to
navigate the intricacies of incorporating expert knowledge in
the ultimate clinical decision must not be underestimated. This
includes implicit knowledge or gut feeling
for which
computability is limited [29]. Moreover, the final decision (how)
to use the CDS is up to the health care professional and their
patient. Importantly, the decision of how to respond to a CDS system
is a moral one, and moral considerations regarding when to treat
or not to treat are the expertise of human beings rather than that
of AI systems. A CDS system cannot decide whether primum
non nocere applies to a specific situation as harm and good and
quality of life depend on personal judgement, context, and
preferences of human beings. Some patients may be willing to
take a risk that others would not, including application of a CDS
system with a black box algorithm to their specific case. This
way, cultural difference may indicate the need for locally
tweaked systems. People, whether patients or their loved ones,
should participate in shared decision making, tailoring the usage
and outcomes of CDS systems to their wishes. What is best for
the patient depends on more than just the output of a CDS
system. In conclusion, it is of paramount importance that health care
professionals initiate and guide the development and
implementation of CDS in clinical care, as opposed to waiting
to be overwhelmed by current technological advancements. Most data scientists are not medical experts, and vice versa. Therefore, data scientists and health care professionals should
team up in an interprofessional fashion, preferably also including
patients. Data scientists who enthusiastically welcome recent
innovations in AI pose a bold claim and carry the burden of
proof to equip health care with suitable CDS tools. Bezemer et al regulations, health care professionals cannot easily be replaced
by AI. The European General Data Protection Regulations state
“The data subject shall have the right not to be subject to a
decision based solely on automated processing, including
profiling, which produces legal effects concerning him or her
or similarly significantly affects him or her.” This regulation
appears tailored to the medical profession. Health care
professionals (but basically everybody processing data) have a
responsibility to guard their patients against irresponsible
implementation of data-driven technologies. This especially
holds true for self-learning algorithms that self-adapt to the
patient population without human intervention, which may
autonomously change considerably over time (so-called
algorithmic drift). What is the meaning of human intervention
in this sense, if the health care professional has no insight at all
into the opaque model? In this light, how can health care
professionals still justify their actions? How does this translate
to accountability? professionals want the best for their patients, they may even
develop a sense of moral obligation to embrace strategies that
unravel data complexities beyond their comprehension, as
relying on methods that do not use the data to their full potential
leads to potentially unused value for their patients. At the same
time, both data scientists and health care professionals should
be alert to cognitive biases provided by pre-existing expert
knowledge. Indeed, interprofessional CDS development teams
should be as inclusive as possible, as the values and preferences
of the people involved influence the underlying model [28]. The hallmark of biology, variability, is complex to capture in
a static algorithm, and a medical decision is not based on
objective single data points but on subjective, context-sensitive
longitudinal observations made by health care professionals
during patient contact. This has consequences for the acceptance
of autonomous CDS systems. Single measurements are not
likely to lead to an acceptable autonomous action by a CDS
system except for when doing nothing is likely to cause more
harm (eg, an automated defibrillator that decides whether electric
cardioversion is indicated based on ECG input and applies the
appropriate therapy itself). Other accepted autonomous CDS
systems, such as pacemakers or insulin pumps, gather
continuous data, and thereby, learn and improve their efficacy
for the individual patient. As longitudinal data collected by
sensors inside and outside the hospital are becoming more
ubiquitous, the value and applicability of accepted autonomous
CDS systems enriched with these data are likely to improve. Acknowledgments g
TB is funded through the Netherlands CardioVascular Research Initiative CVON2017-22 ARGUS. This project is financed by
the PPP Allowance made available by Top Sector Life Sciences & Health to Hartstichting to stimulate public-private partnerships. Bezemer et al Once health
care professionals can be convinced of the added benefit of CDS
for their patients, they may acknowledge the necessity and value
of data collection, interpretation, and curation, so they may
embrace their expanding role and further evolve from doctor
knows best to doctor does best. Therefore, most CDS systems do not aim to replace health care
professionals but are designed to support them. For example,
the recent algorithms in the field of medical imaging preprocess
data and take over tedious and simple tasks so that radiologists
and pathologists can focus on more complex cases, acting more
creatively. Given the recent developments in data protection Discussion With the rise of machine learning, and especially deep learning
in CDS systems, it is perhaps tempting to let IT and data experts
build CDS systems, redirecting health care professionals to
merely gathering data. However, we have shown that human(e)
health care professionals are still of paramount importance, as
all phases of development and use of a CDS system requires
the extensive expert knowledge of health care professionals. Health care professionals should not just be involved in
implementing the CDS system into clinical practice but should
be part of an interprofessional CDS development team from the
start, initiating and guiding development through clinical
demand and expert knowledge. They bring in the clinical
decision they want the CDS system to support and help to
understand the context in which variables are collected during
routine care. Their interpretation is vital in extracting relevant
variables from raw data and in avoiding the implementation of
spurious associations in CDS systems. Moreover, as health care Most CDS systems do not (yet) act autonomously, so they need
the attention of a health care professional to be effective. The
highly technologically supported intensive care units provide
ample evidence that getting the attention of a health care
professional can be a challenge, as too many alarms can lead
to alarm fatigue. Tweaking alert settings on an individual patient http://www.jmir.org/2019/3/e11732/ XSL•FO
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TB is funded through the Netherlands CardioVascular Research Initiative CVON2017-22 ARGUS. This project is financed by
the PPP Allowance made available by Top Sector Life Sciences & Health to Hartstichting to stimulate public-private partnerships. J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 7
(page number not for citation purposes) Conflicts of Interest None declared. J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 7
(page number not for citation purposes) J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 7
(page number not for citation purposes) http://www.jmir.org/2019/3/e11732/ XSL•FO
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y
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(page number not for citation purposes) Abbreviations Please cite as:
Bezemer T, de Groot MCH, Blasse E, ten Berg MJ, Kappen TH, Bredenoord AL, van Solinge WW, Hoefer IE, Haitjema S
A Human(e) Factor in Clinical Decision Support Systems
J Med Internet Res 2019;21(3):e11732
URL: http://www.jmir.org/2019/3/e11732/
doi: 10.2196/11732
PMID: 30888324 ©Tim Bezemer, Mark CH de Groot, Enja Blasse, Maarten J ten Berg, Teus H Kappen, Annelien L Bredenoord, Wouter W van
Solinge, Imo E Hoefer, Saskia Haitjema. Originally published in the Journal of Medical Internet Research (http://www.jmir.org),
19.03.2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License
(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic
information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be
included. J Med Internet Res 2019 | vol. 21 | iss. 3 | e11732 | p. 9
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RECONFIGURAÇÃO INTELIGENTE DE REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA CONSIDERANDO O INDICADOR FIC POR MEIO DO ALGORITMO BUSCA TABU
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SMART RECONFIGURATION OF ELECTRICAL DISTRIBUTION
NETWORKS CONSIDERING THE FIC INDEX USING THE TABU SEARCH
ALGORITHM Vitor Reuter Carréra Torres1
Jussara Farias Fardin2
Lucas Frizera Encarnação3
Clainer Bravin Donadel4*
Rodrigo Fiorotti5
Adan Lucio Pereira6
Augusto César Rueda Medina7 Vitor Reuter Carréra Torres1
Jussara Farias Fardin2
Lucas Frizera Encarnação3
Clainer Bravin Donadel4*
Rodrigo Fiorotti5
Adan Lucio Pereira6
Augusto César Rueda Medina7 1Universidade Federal do Espírito Santo. E-mail: vitoreuter@hotmail.com. 2Universidade Federal do Espírito Santo. E-mail: jussara.fardin@ufes.br. 3Universidade Federal do Espírito Santo. E-mail: lucas@ele.ufes.br. 4Instituto Federal do Espírito Santo – campus Vitória. E-mail: cdonadel@ifes.edu.br. 5Instituto Federal do Espírito Santo – campus São Mateus. E-mail: rodrigo.fiorotti@ifes.edu.br. 6Universidade Federal do Espírito Santo. E-mail: adanlucio@gmail.com. 7Universidade Federal do Espírito Santo. E-mail: augusto.rueda@ufes.br. *Autor para correspondência Artigo submetido em 25/06/2019, aceito em 19/11/2019 e publicado em 23/12/2019. Resumo: O processo de reconfiguração da rede elétrica visa atender a critérios técnico-econômicos
como o número de consumidores atendidos, a redução das perdas, a manutenção dos níveis de tensão e
carregamento do sistema em patamares adequados, a redução do número de manobras das chaves, dentre
outros. Diversos métodos vêm sendo desenvolvidos a fim de determinar a configuração ótima para o
sistema. Entretanto, diversos métodos propostos não consideram indicadores de continuidade do sistema
como, por exemplo, a frequência de interrupção individual por unidade consumidora ou ponto de
conexão (FIC), os quais podem acarretar multas pelo lado da distribuidora caso seus limites não sejam
respeitados. Em outros casos, mesmo incluindo indicadores de continuidade tais como o FIC, os
métodos propostos não conseguem evitar o desligamento repetido de unidades consumidores em caso
de contingências sucessivas. Desta forma, é apresentada neste trabalho uma nova metodologia para
reconfiguração das redes de distribuição de energia elétrica que atenda às restrições operacionais do
sistema, incluindo o indicador de continuidade FIC, a fim de evitar que um mesmo conjunto de
consumidores seja penalizado repetidamente em caso de desligamentos sucessivos. Para lidar com os
múltiplos objetivos e restrições do problema de reconfiguração da rede elétrica de distribuição, a
metodologia proposta foi baseada no Tabu Search Algorithm (Algoritmo Busca Tabu). O método
proposto foi aplicado à rede IEEE 123 barras, rede padrão de testes estabelecida pelo IEEE (Institute of
Electrical and Electronics Engineers), apresentando resultados coerentes com a proposta. 25
v.5 n.2 2019 25
v.5 n.2 2019 25 Palavras-chave: Reconfiguração das redes de distribuição de energia elétrica; sistema de distribuição;
Algoritmo Busca Tabu. Palavras-chave: Reconfiguração das redes de distribuição de energia elétrica; sistema de distribuição;
Algoritmo Busca Tabu. Abstract: The electrical distribution networks reconfiguration process aims to reach technical and
economic criteria such as the number of served consumers, losses reduction, voltage and load adequate
levels maintenance, switches changes reduction, among others. Several methods have been developed
to determine the optimal system configuration. However, in several cases, the proposed methods do not
consider system continuity indexes, such as the individual interruption frequency per consumer unit or
connection point (FIC), which may result in penalties if their limits are not respected. In other cases,
even including continuity indexes such as the FIC, the proposed methods cannot prevent repeated
disconnection of consumer units in case of successive contingencies. Artigo submetido em 25/06/2019, aceito em 19/11/2019 e publicado em 23/12/2019. In this way, this paper presents a
new electrical distribution networks reconfiguration methodology that consider the system operating
restrictions, including the FIC continuity index, avoiding that the same consumers group is repeatedly
penalized in the event of successive contingencies. To address the multiple objectives and constraints
of the distribution network reconfiguration problem, the proposed methodology was based on the Tabu
Search Algorithm. The proposed method was applied to the IEEE 123 buses network, a standard test
network established by the IEEE (Institute of Electrical and Electronics Engineers), presenting results
consistent with the proposal. Keywords: Electrical distribution networks reconfiguration; distribution system; Tabu Search
Algorithm. 2 METODOLOGIA PROPOSTA Nesta
seção
é
apresentada
a
metodologia proposta, incluindo os dados da
rede utilizada, a descrição da função objetivo
e do algoritmo de otimização utilizado. 26
v.5 n.2 2019 v.5 n.2 2019 26 forma
eficiente
às
contingências
(ABDELAZIZ, 2017; BORGES et al., 2015;
GHASEMI, 2018; LÓPEZ et al., 2016;
MOHAMED
IMRAN
et
al.,
2014;
NGUYEN et al., 2017; NGUYEN et al.,
2016; RAJARAM et al., 2015; ZHAI et al.,
2018). consumidores, em situações de contingência
que impossibilitem o atendimento a todos as
unidades consumidoras. O
restante
deste
artigo
está
organizado da seguinte forma: na Seção 2 a
metodologia proposta é apresentada. Na
Seção 3 são apresentados os resultados
obtidos pela aplicação do método proposto,
bem como é apresentada uma discussão
sobre sua eficácia. Por fim, na Seção 4, são
apresentadas as conclusões deste trabalho. A
reconfiguração
da
rede
de
distribuição é o processo no qual o estado das
chaves é alterado, visando modificar a
topologia da rede de forma a respeitar as
limitações
impostas
pelo
operador
(ALEMOHAMMAD
et
al.,
2015;
CHIDANANDAPPA
et
al.,
2015;
MOHAMED IMRAN et al., 2014). A
alteração da topologia influencia no fluxo de
potência da rede, o que impacta nas perdas
do sistema, nos níveis de tensão, no
carregamento da linha, dentre outros fatores. Os métodos lidam, então, com um problema
de otimização não linear que pode conter
vários objetivos distintos a serem tratados
simultaneamente, de modo que o operador
obtenha o desempenho ótimo para a rede
(DUAN et al., 2015; ESMAEILIAN e
FADAEINEDJAD, 2015). Estes processos
de reconfiguração de redes de distribuição de
energia elétrica podem ser aplicados de duas
formas distintas: a primeira forma visa
otimizar o funcionamento da rede elétrica em
condições normais de operação, ou seja,
quando toda a rede está operante e todos os
consumidores estão sendo atendidos. A
segunda forma visa buscar a restauração da
rede elétrica de distribuição quando diante de
contingências
que
não
permitem
o
atendimento
a
todas
as
unidades
consumidoras. Neste caso, os métodos
propostos de reconfiguração da rede elétrica,
mesmo
incluindo
indicadores
de
continuidade tais como a frequência de
interrupção
individual
por
unidade
consumidora ou ponto de conexão (FIC), não
conseguem evitar o desligamento repetido de
unidades
consumidores
em
caso
de
contingências sucessivas. Assim, este artigo
propõe
uma
nova
metodologia
de
reconfiguração de redes de distribuição de
energia elétrica que permita evitar a
penalização
do
mesmo
conjunto
de 1 INTRODUÇÃO distribuída (GD) que tornaram a rede ainda
mais complexa e versátil, diante das
possibilidades de melhorias que acrescentam
ao sistema sendo, inclusive, um assunto que
estará presente para estudo durante, pelo
menos, a próxima década devido a sua
relevância para o sistema elétrico (LÓPEZ et
al., 2016). O consumo de energia elétrica per
capita em qualquer país é um indicativo de
seu crescimento e qualidade de vida de sua
população (RAJARAM et al., 2015). À
medida que o país se desenvolve, a
necessidade por uma energia elétrica
confiável e de qualidade vai ficando mais em
evidência. Para que a energia elétrica seja
considerada de boa qualidade, o sistema
elétrico
deve
apresentar
as
seguintes
características (BORGES et al., 2015):
continuidade,
ou
seja,
estar
sempre
disponível para uso; conformidade, atender
aos padrões e normas técnicas especificados
pelas agências reguladoras; flexibilidade, a
fim de se adaptar às contínuas mudanças na
estrutura topológica; manutenção, que é a
capacidade da rede retornar ao modo de
operação e fornecimento de energia o mais
rápido possível, no caso de contingência na
rede. Em geral, os sistemas de distribuição
apresentam altos níveis de corrente e baixos
níveis de tensão, o que acarreta perdas
significativas de potência e níveis de tensão
de baixa qualidade (NGUYEN et al., 2016). Paralelamente a tal situação, com o
desenvolvimento
das
tecnologias
de
telecomunicação,
automação
e
processamento de sinais digitais, chaves e
dispositivos
de
proteção
entre
os
alimentadores vêm evoluindo de forma a
conseguir
remotamente
controlar
e
supervisionar o sistema, permitindo que este
responda rapidamente às contingências
(faltas) para um esquema de restauração
automático (LÓPEZ et al., 2016). Diante de
tal cenário, diversos métodos voltados para a
reconfiguração de redes de distribuição vêm
sendo desenvolvidos e aprimorados no
intuito de mitigar tais perdas, melhorar os
índices de qualidade da rede e responder de A rede de distribuição é o último
estágio na entrega da energia elétrica. Ela é
responsável por permitir o intercâmbio de
energia entre o sistema de transmissão e o
consumidor final. Atualmente, ela está ainda
mais em evidência devido aos avanços das
redes inteligentes (Smart Grids) e da geração v.5 n.2 2019 27 𝐼௦
Corrente
no
início
do
alimentador;
𝑓𝑝௦
Fator de potência no início do
alimentador;
𝑉
Tensão nos nós de carga;
𝐼
Corrente nos nós de carga;
𝑓𝑝
Fator de potência nos nós de
carga;
𝑛௦
Quantidade de nós de carga
existentes no alimentador;
𝑃𝑟𝑒ç𝑜𝑘𝑊𝑐 Valoração
das
perdas
de
potência. 𝐼௦
Corrente
no
início
do
alimentador;
𝑓𝑝௦
Fator de potência no início do
alimentador;
𝑉
Tensão nos nós de carga;
𝐼
Corrente nos nós de carga;
𝑓𝑝
Fator de potência nos nós de
carga;
𝑛௦
Quantidade de nós de carga
existentes no alimentador;
𝑃𝑟𝑒ç𝑜𝑘𝑊𝑐 Valoração
das
perdas
de
potência. Corrente
no
início
do
alimentador; abordar os demais objetivos não descritos no
objetivo principal. Assim, os objetivos
“secundários”
irão
implicitamente
influenciar na escolha de quais elementos
irão compor a solução aplicada na função
objetivo principal. O enfoque mono-objetivo
é um ótimo correspondente às soluções
extremas (mínimas ou máximas) da função-
objetivo, o que é desejado no problema em
questão. A escolha da função objetivo é de
suma importância para a modelagem
matemática do problema mono-objetivo e,
para este trabalho, consiste em minimizar o
custo total do ponto de vista da distribuidora
de energia elétrica, garantindo que a
reconfiguração da rede mantenha a estrutura
radial, atenda aos limites legais e técnicos de
tensão e corrente,
além de permitir
considerar a influência do indicador FIC. A
função objetivo a ser minimizada é
apresentada pela equação (1). b)
Custo
das
cargas
não
atendidas
(𝐶𝑎𝑟𝑔. 𝑛𝑎): é o quanto a distribuidora de
energia elétrica deixa de faturar ao rejeitar
determinadas cargas, dado pela equação (4). Esse fator estimula o algoritmo a atender,
caso seja possível, ao máximo de clientes
possíveis. b)
Custo
das
cargas
não
atendidas
(𝐶𝑎𝑟𝑔. 𝑛𝑎): é o quanto a distribuidora de
energia elétrica deixa de faturar ao rejeitar
determinadas cargas, dado pela equação (4). Esse fator estimula o algoritmo a atender,
caso seja possível, ao máximo de clientes
possíveis. b)
Custo
das
cargas
não
atendidas
(𝐶𝑎𝑟𝑔. 𝑛𝑎): é o quanto a distribuidora de
energia elétrica deixa de faturar ao rejeitar
determinadas cargas, dado pela equação (4). Esse fator estimula o algoritmo a atender,
caso seja possível, ao máximo de clientes
possíveis. 𝑐𝑜𝑠𝑡= 𝑃. 𝑡𝑒𝑐+ 𝐶𝑎𝑟𝑔. 𝑛𝑎
+ 𝐿𝑖𝑚. 𝑉+ 𝐿𝑖𝑚. 𝐼
+ 𝐹𝐼𝐶
(1) 𝐶𝑎𝑟𝑔. 2.1 FUNÇÃO OBJETIVO O problema de reconfiguração de
redes de distribuição de energia elétrica
envolve as seguintes variáveis a serem
otimizadas: Atendimento ao maior número de
consumidores possível; Redução das perdas técnicas; Atender aos limites do indicador
FIC. E possui as seguintes restrições
operacionais: Manter a topologia radial do
sistema; Atender
à
capacidade
de
carregamento das linhas; Atender aos limites de tensão
normatizados. Desta forma, tem-se um problema
multi-objetivo,
onde
os
critérios
apresentados anteriormente são conflitantes
entre si. Entretanto, quando isso acontece,
uma alternativa para a redução do problema
é a utilização da técnica de ponderação de
pesos, ou seja, vários objetivos são
transformados em um único objetivo,
criando uma abordagem ao problema mono-
objetivo (COELLO et al., 2007). Para isso, é
necessário definir uma função objetivo
principal e uma função de avaliação que irá 𝑛𝑎= 𝑉𝐼 𝑥 𝑃𝑟𝑒ç𝑜𝑘𝑊𝑣
ୀଵ
(4) (1) (4) Onde: Os elementos que compõem a função
objetivo são: 𝑛𝑎
Cargas
que
não
foram
atendidas; 𝑛𝑎
Cargas
que
não
foram
atendidas; 𝑛𝑎 a) Perdas técnicas (𝑃. 𝑡𝑒𝑐): é a perda de
potência ativa (kW) da rede de distribuição,
calculada pela equação (2) e pela equação
(3). 𝑃𝑟𝑒ç𝑜𝑘𝑊𝑣 Valoração
da
carga
não
atendida. c) Penalidade por infringir os limites de
tensão (𝐿𝑖𝑚. 𝑉): este indicador é ativado
quando a distribuidora de energia elétrica
abastece a unidade consumidora; entretanto,
o fornecimento de energia elétrica ocorre
fora
dos
limites
estabelecidos
por
regulamentação. Foram adotados, neste
trabalho, os limites estabelecidos pelo
PRODIST Módulo 8 (BRASIL, 2018) para
redes de média tensão, apresentados no
Quadro 1. 𝑃. 𝑡𝑒𝑐= 𝑃𝑒𝑟𝑑 𝑥 𝑃𝑟𝑒ç𝑜𝑘𝑊𝑐
(2) (2) 𝑃𝑒𝑟𝑑= 𝑉௦𝐼௦𝑓𝑝௦
−
𝑉𝐼𝑓𝑝
ೌೝೌೞ
ୀଵ
(3)
O d (3) Onde:
𝑉௦
Tensão no nó de início do
alimentador; 𝑉௦
Tensão no nó de início do
alimentador; v.5 n.2 2019 28 Quadro 1: Limites de tensão para redes de
distribuição de energia elétrica de média
tensão
Tensão de
Atendimento (TA)
Faixa de Variação
de Tensão de
Leitura (TL) em
Relação à Tensão de
Referência (TR)
Adequada
0,93TR ≤ TL ≤
1,05TR
Precária
0,90TR ≤ TL ≤
0,93TR
Crítica
TL < 0,90TR ou TL >
1,05TR
Fonte: PRODIST – Módulo 8 (BRASIL, 2018). Quadro 1: Limites de tensão para redes de
distribuição de energia elétrica de média
t
ã abaixo de 0,93TR ou
acima de 1,05TR. abaixo de 0,93TR ou
acima de 1,05TR. 𝑉𝑎𝑙𝑜𝑟𝑀𝑢𝑙𝑡𝑎𝑇𝑒𝑛𝑠ã𝑜 Penalidade imposta à
distribuidora
de
energia elétrica por
desrespeitar os limites
de tensão. 𝑉𝑎𝑙𝑜𝑟𝑀𝑢𝑙𝑡𝑎𝑇𝑒𝑛𝑠ã𝑜 Penalidade imposta à
distribuidora
de
energia elétrica por
desrespeitar os limites
de tensão. d) Penalidade por infringir o carregamento
dos condutores (𝐿𝑖𝑚. 𝐼): esta é uma restrição
de suma importância, uma vez que, caso seja
descumprida, o condutor tende a se romper,
o que poderá acarretar em prejuízos para a
distribuidora de
energia
elétrica
(por
exemplo, possíveis acidentes, manutenção
mais
custosa
e
consumidores
desenergizados) – equação (5). Dessa forma, na função objetivo está
sendo considerada uma penalidade quando o
valor fica abaixo de 93% ou acima de 105%
da tensão por unidade, ou seja, quando deixa
de ser adequada e passar a ser precária ou
crítica conforme apresentado na Figura 1. 𝐿𝑖𝑚. 𝐼
= 𝑉𝑎𝑙𝑜𝑟𝑃𝑒𝑛𝑎𝑙𝑖𝑑𝑎𝑑𝑒𝐶𝑜𝑟𝑟𝑒𝑛𝑡𝑒
(5)
Onde:
𝑉𝑎𝑙𝑜𝑟
𝑃𝑒𝑛𝑎𝑙𝑖𝑑𝑎𝑑𝑒
𝐶𝑜𝑟𝑟𝑒𝑛𝑡𝑒
Valor
de
penalidade
atribuído
a
função
objetivo para os casos em
que houve violação dos
limites de corrente. 𝐿𝑖𝑚. 𝐼
= 𝑉𝑎𝑙𝑜𝑟𝑃𝑒𝑛𝑎𝑙𝑖𝑑𝑎𝑑𝑒𝐶𝑜𝑟𝑟𝑒𝑛𝑡𝑒
(5) (5) Onde:
𝑉𝑎𝑙𝑜𝑟
𝑃𝑒𝑛𝑎𝑙𝑖𝑑𝑎𝑑𝑒
𝐶𝑜𝑟𝑟𝑒𝑛𝑡𝑒 Onde:
𝑉𝑎𝑙𝑜𝑟 Valor
de
penalidade
atribuído
a
função
objetivo para os casos em
que houve violação dos
limites de corrente. Figura 1: Fluxograma de Determinação da
Penalidade por Violação dos Limites de
Tensão
Fonte: Autores. Figura 1: Fluxograma de Determinação da
Penalidade por Violação dos Limites de
Tensão Figura 1: Fluxograma de Determinação da
Penalidade por Violação dos Limites de
Tensão
Fonte: Autores. Onde:
𝑛𝑐
Número de nós com
carga;
𝑐𝑜𝑛𝑡
Quantidade de cargas
que
estão
sendo
atendidas com tensão Vale ressaltar que não há um valor de
penalidade previsto na legislação para este
caso. Cabe a distribuidora de energia elétrica
avaliar os riscos e estabelecer o valor de
penalidade correspondente. Neste trabalho,
foi estabelecido o valor de 105 para tal
penalidade, a fim de se evitar condutores
operando em sobrecarga. e) Penalidade por infringir o indicador de
continuidade FIC (𝐹𝐼𝐶): FIC representa a
frequência de interrupção individual por
unidade consumidora ou ponto de conexão,
expressa
em
números
de
interrupção
(BRASIL, 2018). Os limites para o indicador
FIC são dependentes do tipo de unidade
consumidora, do nível de tensão de
atendimento e do valor dos indicadores de v.5 n.2 2019 29 um limite para o indicador de continuidade
FIC de 2,06 ocorrências/mês. O fluxograma
de aplicação da penalidade por violação do
indicador de continuidade FIC é apresentado
na Figura 2. conjunto (DEC ou FEC). Neste trabalho foi
adotado o valor dos indicadores de conjunto
igual a 5 (valor típico para a Região
Metropolitana da Grande Vitória), conforme
é apresentado na Tabela 1, implicando em Tabela 1: Limites de Continuidade por Unidade Consumidora - parte
Faixa de variação dos
Limites Anuais de
Indicadores de
Continuidade dos
Conjuntos (DEC ou
FEC)
Limite de Continuidade por Unidade Consumidora ou Central
Geradora
Unidades Consumidoras ou Centrais Geradoras situadas em áreas
urbanas com Faixa de Tensão Contratada: 1 kV < Tensão < 69 kV
DIC (horas)
FIC (interrupções)
DMIC
(horas)
Anual
Trim. Mensal
Anual
Trim. Mensal
Mensal
1
11,25
5,62
2,81
6,48
3,24
1,62
2,36
2
11,68
5,84
2,92
6,93
3,46
1,73
2,39
3
12,12
6,06
3,03
7,37
3,68
1,84
2,41
4
12,55
6,27
3,13
7,82
3,91
1,95
2,44
5
12,99
6,49
3,24
8,27
4,13
2,06
2,46
... ... ... ... ... ... ... ... Fonte: PRODIST – Módulo 8 (BRASIL, 2018). Figura 2: Fluxograma de Aplicação da Penalidade por Violação do Indicador de Continuidade
FIC
Fonte: Autores. Onde:
𝑉𝑎𝑙𝑜𝑟 Tabela 1: Limites de Continuidade por Unidade Consumidora - parte
Faixa de variação dos
Limites Anuais de
Indicadores de
Continuidade dos
Conjuntos (DEC ou
FEC)
Limite de Continuidade por Unidade Consumidora ou Central
Geradora
Unidades Consumidoras ou Centrais Geradoras situadas em áreas
urbanas com Faixa de Tensão Contratada: 1 kV < Tensão < 69 kV
DIC (horas)
FIC (interrupções)
DMIC
(horas)
Anual
Trim. Mensal
Anual
Trim. Mensal
Mensal
1
11,25
5,62
2,81
6,48
3,24
1,62
2,36
2
11,68
5,84
2,92
6,93
3,46
1,73
2,39
3
12,12
6,06
3,03
7,37
3,68
1,84
2,41
4
12,55
6,27
3,13
7,82
3,91
1,95
2,44
5
12,99
6,49
3,24
8,27
4,13
2,06
2,46
... ... ... ... ... ... ... ... Fonte: PRODIST – Módulo 8 (BRASIL, 2018). Figura 2: Fluxograma de Aplicação da Penalidade por Violação do Indicador de Continuidade
FIC
Fonte: Autores. Tabela 1: Limites de Continuidade por Unidade Consumidora - parte
Faixa de variação dos
Limites Anuais de
Indicadores de
Continuidade dos
Conjuntos (DEC ou
FEC)
Limite de Continuidade por Unidade Consumidora ou Central
Geradora
Unidades Consumidoras ou Centrais Geradoras situadas em áreas
urbanas com Faixa de Tensão Contratada: 1 kV < Tensão < 69 kV
DIC (horas)
FIC (interrupções)
DMIC
(horas)
Anual
Trim. Mensal
Anual
Trim. Mensal
Mensal
1
11,25
5,62
2,81
6,48
3,24
1,62
2,36
2
11,68
5,84
2,92
6,93
3,46
1,73
2,39
3
12,12
6,06
3,03
7,37
3,68
1,84
2,41
4
12,55
6,27
3,13
7,82
3,91
1,95
2,44
5
12,99
6,49
3,24
8,27
4,13
2,06
2,46
... ... ... ... ... ... ... ... Fonte: PRODIST – Módulo 8 (BRASIL, 2018). Tabela 1: Limites de Continuidade por Unidade Consumidora - parte Figura 2: Fluxograma de Aplicação da Penalidade por Violação do Indicador de Continuidade
FIC
Fonte: Autores. Figura 2: Fluxograma de Aplicação da Penalidade por Violação do Indicador de Continuidade
FIC Figura 2: Fluxograma de Aplicação da Penalidade por Violação do Indicador de Continuidade
FIC
Fonte: Autores. Fonte: Autores. 30
v.5 n.2 2019 30
v.5 n.2 2019 30 Onde 𝐼𝑛 é uma abreviação da
variável
contadora
𝐼𝑛𝑡𝑒𝑟𝑟𝑢𝑝𝑡𝑖𝑜𝑛,
responsável por armazenar quantas vezes
cada carga foi desligada no período mensal. Caso
o
vetor
𝐼𝑛𝑡𝑒𝑟𝑟𝑢𝑝𝑡𝑖𝑜𝑛(𝑖)
de
determinado nó seja 1 (um) significa que ele
já foi interrompido uma vez naquele mês,
caso seja interrompido novamente irá
implicar
em
multa. A
variável
𝑉𝑎𝑙𝑜𝑟𝑀𝑢𝑙𝑡𝑎𝐹𝐼𝐶 é dada pela equação (6) e é
analisada para cada consumidor que foi
desligado. 730 Número médio de horas no mês; 𝑘𝑒𝑖
Coeficiente de majoração cujo valor
deve ser fixado em: 15 (quinze), para
unidade consumidora ou ponto de
conexão atendidos em baixa tensão;
20 (vinte), para unidade consumidora
ou ponto de conexão atendidos em
média tensão; ou 27 (vinte e sete), para
unidade consumidora ou ponto de
conexão atendidos em alta tensão. 2.2 ALGORITMO DE OTIMIZAÇÃO Os algoritmos Meta-Heurísticos têm
tido grande aceitação dos autores da área de
sistemas elétricos de potência (KAGAN et
al., 2009). Eles são métodos que se baseiam
nas técnicas de inteligência artificial e
possuem como vantagem a facilidade para
encontrar
ótimos
globais,
independentemente do estado inicial, uma
vez que realizam suas buscas em vizinhanças
dentro do espaço de pesquisa, evitando
paradas prematuras em ótimos locais. Dentre
os diversos algoritmos meta-heurísticos
encontrados na literatura, o Algoritmo Busca
Tabu (em inglês, Tabu Search Algorithm) foi
escolhido para o processo de otimização. Este algoritmo é um método eficiente para
respostas discretas, o qual se encaixa no
perfil do problema em questão, uma vez que
a resposta desejada é uma matriz de estados
das chaves composta por zeros (chaves
abertas) e uns (chaves fechadas). Além disso,
o Algoritmo Busca Tabu possui memória
dinâmica, o qual aumenta a eficiência do
processo de exploração e é extremamente útil
para sair de máximos ou mínimos locais. O
Algoritmo Busca Tabu é um método não
populacional, isto é, avalia um candidato de
cada vez e possui um sistema de memória
dinâmica. O diferencial do sistema de Os algoritmos Meta-Heurísticos têm
tido grande aceitação dos autores da área de
sistemas elétricos de potência (KAGAN et
al., 2009). Eles são métodos que se baseiam
nas técnicas de inteligência artificial e
possuem como vantagem a facilidade para
encontrar
ótimos
globais, 𝑉𝐴𝐿𝑂𝑅ிூ
= ቆ𝐹𝐼𝐶௩
𝐹𝐼𝐶
− 1ቇ𝐷𝐼𝐶൬𝐶𝑀
730൰𝑘𝑒𝑖
(6) (6) independentemente do estado inicial, uma
vez que realizam suas buscas em vizinhanças
dentro do espaço de pesquisa, evitando
paradas prematuras em ótimos locais. Dentre
os diversos algoritmos meta-heurísticos
encontrados na literatura, o Algoritmo Busca
Tabu (em inglês, Tabu Search Algorithm) foi
escolhido para o processo de otimização. Onde:
𝑉𝑎𝑙𝑜𝑟 Note que, caso o mesmo
consumidor seja interrompido mais de uma
vez dentro dos limites de FIC, quanto maior
for o número de interrupções (3, 4... ao longo
do mês), mais o valor da penalidade é
acrescido. Isso irá garantir que o algoritmo
busque não penalizar sempre a mesma
unidade consumidora, mesmo estando dentro
dos limites de FIC estabelecidos pela
legislação. 𝐶𝑀
Média aritmética dos encargos de uso
do
sistema
de
distribuição,
considerando
também as demandas e energias
reativas excedentes, correspondentes
aos meses do período de apuração do
indicador; 𝐶𝑀
Média aritmética dos encargos de uso
do
sistema
de
distribuição,
considerando
também as demandas e energias
reativas excedentes, correspondentes
aos meses do período de apuração do
indicador; 730 Número médio de horas no mês; 2.3 REDE DE TESTES UTILIZADA E
CONDIÇÕES GERAIS DO FLUXO DE
CARGA A rede de distribuição de energia
elétrica utilizada para aplicação do método
proposto é a rede IEEE 123 barras, mostrada
na Figura 3. Figura 3: Topologia da Rede de Distribuição IEEE 123 Barras Onde: Onde: 𝐹𝐼𝐶௩ Frequência de interrupção por unidade
consumidora ou por ponto de conexão,
conforme cada caso, verificada no
período considerado, expressa em
número de interrupções; 𝐹𝐼𝐶 Limite de continuidade estabelecido
no período considerado
para
o
indicador de frequência de interrupção
por unidade consumidora ou por ponto
de conexão, expresso em número de
interrupções e centésimo do número
de interrupções; p
p
ç
Este algoritmo é um método eficiente para
respostas discretas, o qual se encaixa no
perfil do problema em questão, uma vez que
a resposta desejada é uma matriz de estados
das chaves composta por zeros (chaves
abertas) e uns (chaves fechadas). Além disso,
o Algoritmo Busca Tabu possui memória
dinâmica, o qual aumenta a eficiência do
processo de exploração e é extremamente útil
para sair de máximos ou mínimos locais. O
Algoritmo Busca Tabu é um método não
populacional, isto é, avalia um candidato de
cada vez e possui um sistema de memória
dinâmica. O diferencial do sistema de 𝐷𝐼𝐶 Limite de continuidade estabelecido
no período considerado
para
o
indicador de duração de interrupção
por unidade consumidora ou por ponto
de conexão, expresso em horas e
centésimos de hora; v.5 n.2 2019 31 inteligentes, devem incorporar memória
adaptativa
e
exploração
dinâmica
(SOLIMANPUR e ELMI, 2013). 2.3 REDE DE TESTES UTILIZADA E
CONDIÇÕES GERAIS DO FLUXO DE
CARGA memória da Algoritmo Busca Tabu é que ele
não mantém apenas os valores das avaliações
feitas até então, como também, o itinerário
das últimas soluções visitadas (COELLO et
al., 2007). Além disso, passa a ser possível
identificar regiões promissoras do espaço de
busca. O Algoritmo Busca Tabu é uma meta-
heurística para guiar heurísticas conhecidas a
superar o problema da optimimalidade local. É baseado na premissa de que resoluções de
problemas,
para
se
qualificar
como inteligentes, devem incorporar memória
adaptativa
e
exploração
dinâmica
(SOLIMANPUR e ELMI, 2013). 3 RESULTADOS E DISCUSSÃO
3.1 SIMULAÇÃO DO CASO BASE algoritmo, pois a rede original
possui somente 6 chaves. O cabo que liga os nós 93 e 94 que
é monofásico foi alterado para
trifásico de modo que seja
possível a utilização da chave
para reconfiguração nos dois
sentidos. Em sua forma original,
somente
o
nó
54
poderia
abastecer o nó 94, já que o trecho
entre os nós 93 e 94 é monofásico. Não
é
possível
uma
rede
monofásica
abastecer
outra
trifásica. A definição do caso base visa
estabelecer a condição operacional de
referência, considerando que o alimentador
consiga atender todos os nós de carga sem
desrespeitar
nenhuma
das
restrições
impostas pelo algoritmo. Dessa forma, as
cargas foram ajustadas para de modo que o
alimentador
trabalhe
em
seu
limite
operacional,
porém
ainda
conseguindo
atender a todos os nós consumidores, ou seja,
sem rejeitar cargas. Os valores das cargas
originais foram divididos pelo fator 1,442. Este valor foi calculado por meio da divisão
entre o valor de corrente total da rede pela
corrente máxima admissível do condutor
existente no início do alimentador. Após o
ajuste das cargas, a topologia da rede foi
otimizada seguindo o método proposto neste
trabalho. Naturalmente, neste caso base, não
houve penalidades referentes aos 4 últimos
termos da equação (1), pois não houve
violação de limites operacionais nem
rejeição de carga. A topologia resultante,
referente ao caso base, está mostrado na
Figura 4. Por
fim,
as
cargas
foram
ajustadas, a fim de fazer com que
o
alimentador
trabalhe
em
sobrecarga. Desse modo, este
realizará rejeição de carga ao
mesmo tempo que analisa o
indicador FIC do sistema. Para o cálculo do fluxo de carga,
assume-se que a topologia da rede, a potência
instalada (alimentador) e a potência nas
cargas
(ou
correntes
de
carga)
são
conhecidas (KERSTING, 2002). Dessa
forma, as condições operacionais da rede de
distribuição
de
energia
elétrica
são
conhecidas, uma vez que o fluxo de carga irá
obter a tensão complexa em cada barra e os
fluxos de potência (ativa e reativa) em todas
as linhas ativas dessa rede e, portanto, as
soluções geradas podem ser analisadas. O
método utilizado foi o de varredura por soma
de correntes, recomendado para cálculos em
redes radiais (KAGAN et al., 2005). v.5 n.2 2019 32 Figura 3: Topologia da Rede de Distribuição IEEE 123 Barras Figura 3: Topologia da Rede de Distribuição IEEE 123 Barras
Fonte: Autores. Fonte: Autores. Entretanto, algumas modificações
foram feitas de modo a adequar à situação
desejada, conforme listado abaixo: rejeitada. Dessa forma foram
retirados
três
dos
quatro
alimentadores da rede (195, 451 e
251), bem como os reguladores
de tensão localizados no meio da
rede,
restando
apenas
o
alimentador localizado no nó 150
e o regulador de tensão localizado
entre o mesmo e o nó 149; Os
transformadores
foram
simplificados, assim como o
regulador de tensão localizado
entre os nós 150 e 149. A rede original apresenta 4
alimentadores
que
abastecem
todas as cargas do sistema. Entretanto,
a
efetividade
da
metodologia proposta somente
pode ser constatada em caso de
sobrecarga da rede, situação na
qual parte da carga deve ser Cada aresta da rede (trecho) foi
avaliada como uma posição
candidata a receber uma, ou seja,
no processo de reconfiguração foi
concedida maior liberdade ao 3 RESULTADOS E DISCUSSÃO
3.1 SIMULAÇÃO DO CASO BASE O
algoritmo de fluxo de carga foi validade a
partir da comparação entre os resultados
obtidos para a rede IEEE 123 barras e os
resultados-gabarito fornecidos pelo próprio
IEEE junto às informações da rede, com
diferenças inferiores à 0,1%. As simulações
foram realizadas no software MATLAB
2016b. O computador utilizado foi Intel®
Core ™ i5 CPU M480 2,67GHz, 3,00GB
RAM e foram utilizadas para cada simulação
500 iterações e uma lista tabu de tamanho
115. Alterações feitas pelo algoritmo na
topologia da rede, em relação a topologia
original: Fechamento da chave que conecta
os nós 151 e 300; Abertura da aresta que conecta os
nós 101 e 97; Fechamento da chave que conecta
os nós 54 e 94; Abertura da aresta que conecta os
nós 67 e 72. Caracterização da topologia do caso Apresentou perdas técnicas no
valor de 44,83 kW; Atendeu
aos
limites
de
carregamento
dos
condutores
(Tabela 2). Note que a Fase A está
operando próxima ao seu limite
(453 A). v.5 n.2 2019 33 Manteve a topologia da rede
como radial;
As tensões foram mantidas na
faixa adequada. Manteve a topologia da rede
como radial; Manteve a topologia da rede
como radial;
Atendeu a todos os nós da rede;
As tensões foram mantidas na
faixa adequada. As tensões foram mantidas na
faixa adequada. As tensões foram mantidas na
faixa adequada. Atendeu a todos os nós da rede; Atendeu a todos os nós da rede; Figura 4: Topologia da Rede referente ao Caso Base Figura 4: Topologia da Rede referente ao Caso Base
Fonte: Autores. Figura 4: Topologia da Rede referente ao Caso Base Fonte: Autores. Fonte: Autores. Tabela 2: Correntes por Fase no Início do Tabela 2: Correntes por Fase no Início do Caracterização da topologia referente
ao cenário de sobrecarga #1: Tabela 2: Correntes por Fase no Início do
Alimentador – Caso Base
Corrente total (A)
Fase A
Fase B
Fase C
450,7
274,4
358,8
Fonte: Autores. 3.2 SIMULAÇÃO DOS CENÁRIOS DE
SOBRECARGA Tabela 2: Correntes por Fase no Início do
Alimentador – Caso Base Apresentou perdas técnicas no
valor de 46,05 kW; Atendeu
aos
limites
de
carregamento dos cabos (Tabela
3). Note que a Fase A está quase
atingindo seu limite (453 A). Manteve a topologia da rede
radial; 2 cenários de sobrecarga foram
simulados. 3 RESULTADOS E DISCUSSÃO
3.1 SIMULAÇÃO DO CASO BASE As cargas foram ajustadas por
dois fatores distintos, de modo a causar em
ambas uma sobrecarga no sistema. Dessa
maneira, espera-se que o algoritmo rejeite
cargas para respeitas às restrições impostas
na especificação do método proposto. Após
a aplicação do ajuste de carga proposto
referente ao cenário de sobrecarga #1 e a
otimização da topologia da rede, a topologia
resultante é apresentada na Figura 5. Rejeitou as cargas dos nós 112,
113 e 114 para atender à restrição
de carregamento. Vale ressaltar
que o algoritmo optou por rejeitar
cargas monofásicas da fase A
(Tabela 4), de modo a preservar
as cargas atendidas pelas outras
fases, uma vez que a rede é
desequilibrada
com
maior
carregamento na fase A. As tensões foram mantidas na
faixa adequada. v.5 n.2 2019 34 Figura 5: Topologia da Rede referente ao Cenário de Sobrecarga #1
Fonte: Autores. Figura 5: Topologia da Rede referente ao Cenário de Sobrecarga #1 Fonte: Autores. Tabela 3: Correntes por Fase no Início do
Alimentador – Cenário de Sobrecarga #1
Corrente total (A)
Fase A
Fase B
Fase C
440,2
280,7
365,2
Fonte: Autores. Tabela 4: Carga não Atendida – Cenário de
Sobrecarga #1
Carga não atendida (kW)
Fase A
Fase B
Fase C
56,34
0
0
Fonte: Autores. Após a aplicação do ajuste de carga Tabela 3: Correntes por Fase no Início do
Alimentador – Cenário de Sobrecarga #1 Tabela 3: Correntes por Fase no Início do
Alimentador – Cenário de Sobrecarga #1
Corrente total (A)
Fase A
Fase B
Fase C
440,2
280,7
365,2
Fonte: Autores. Atendeu
aos
limites
de
carregamento
dos
condutores
(Tabela 5). Note que a Fase A está
quase atingindo seu limite (453
A). p
Alimentador – Cenário de Sobrecarga #1 Corrente total (A)
Fase A
Fase B
Fase C
440,2
280,7
365,2
Fonte: Autores. Manteve a topologia da rede
radial; Rejeitou as cargas dos nós 113 e
114 para atender à restrição de
carregamento (Tabela 6). Como a
sobrecarga foi menor em relação
ao cenário de sobrecarga #1, foi
possível
atender
à
carga
conectada ao nó 112; Tabela 4: Carga não Atendida – Cenário de
Sobrecarga #1
Carga não atendida (kW)
Fase A
Fase B
Fase C
56,34
0
0
Fonte: Autores. Tabela 4: Carga não Atendida – Cenário de
Sobrecarga #1 As tensões foram mantidas na
faixa adequada. 4 CONCLUSÕES Este
artigo
propôs
uma
nova
metodologia de reconfiguração de redes de
distribuição de energia elétrica que permita
evitar a penalização do mesmo conjunto de
consumidores, em situações de contingência
que impossibilitem o atendimento a todos as
unidades
consumidoras. Este
trabalho
permitiu alcançar resultados promissores
quanto ao processo de reconfiguração de
redes de distribuição de energia elétrica,
tema presente no cotidiano das distribuidoras
e que interessa tanto o lado do consumidor,
quanto o lado da própria distribuidora. Perdas técnicas, atendimento ao máximo de
consumidores
possível
e
limites
de
carregamento e tensão são elementos
presentes
com
certa
regularidade
na
publicação dos autores da área. Este trabalho,
por sua vez, além de trabalhar com todos
estes elementos, ainda adicionou métrica
relacionada ao indicador de continuidade
𝐹𝐼𝐶, de forma diferenciada ao encontrado na
literatura. Manteve a topologia da rede
radial; Rejeitou, dessa vez, as cargas dos
nós 70 e 71 para atender à
restrição de carregamento e não
ser penalizado devido à violação
da
parcela
FIC
da
função
objetivo, por desligar novamente
as cargas conectadas aos nós 113
e 114 (Tabela 8); As tensões foram mantidas na
faixa adequada. Tabela 7: Correntes por Fase no Início do
Alimentador – Cenário de Sobrecarga #2
considerando Histórico de Desligamentos Tabela 7: Correntes por Fase no Início do
Alimentador – Cenário de Sobrecarga #2
considerando Histórico de Desligamentos
Corrente total (A)
Fase A
Fase B
Fase C
441,5
276,5
359,9
Fonte: Autores. Corrente total (A)
Fase A
Fase B
Fase C
441,5
276,5
359,9
Fonte: Autores. O método proposto foi capaz de
analisar as restrições impostas e propor uma
topologia radial eficiente para a situação. Desta forma, o algoritmo proposto não
penalizou o mesmo grupo de clientes ainda
que fosse mantido o valor de sobrecarga no
sistema. Os resultados mostraram que o
desligamento do mesmo bloco de cargas
quando a rede está sobrecarregada pode ser
evitado. Associado a isso, os resultados
também mostraram que o Algoritmo Busca
Tabu, utilizado no processo de otimização,
apresentou bons resultados para respostas
discretas e foi essencial para a otimização da
rede. Tabela 8: Carga não Atendida – Cenário de
Sobrecarga #2 considerando Histórico de
Desligamentos Tabela 8: Carga não Atendida – Cenário de
Sobrecarga #2 considerando Histórico de
Desligamentos
Carga não atendida (kW)
Fase A
Fase B
Fase C
41,67
0
0
Fonte: Autores. 3 RESULTADOS E DISCUSSÃO
3.1 SIMULAÇÃO DO CASO BASE Após a aplicação do ajuste de carga
proposto referente ao cenário de sobrecarga
#2 e a otimização da topologia da rede, a
topologia resultante é apresentada na Figura
6. Tabela 5: Correntes por Fase no Início do
Alimentador – Cenário de Sobrecarga #2
Corrente total (A)
Fase A
Fase B
Fase C
441,3
276,5
359,9
Fonte: Autores. Tabela 5: Correntes por Fase no Início do
Alimentador – Cenário de Sobrecarga #2 Caracterização da topologia referente
ao cenário de sobrecarga #2: Apresentou perdas técnicas no
valor de 45,58 kW; v.5 n.2 2019 35 Figura 6: Topologia da Rede referente ao Cenário de Sobrecarga #2
Fonte: Autores. Figura 6: Topologia da Rede referente ao Cenário de Sobrecarga #2 Fonte: Autores. Tabela 6: Carga não Atendida – Cenário de
Sobrecarga #2
Carga não atendida (kW)
Fase A
Fase B
Fase C
41,67
0
0
Fonte: Autores. Tabela 6: Carga não Atendida – Cenário de
Sobrecarga #2 nas cargas conectadas aos nós 113 e 114. Entretanto, neste caso, poderá ocorrer
penalização da função objetivo em relação a
parcela FIC, uma vez que há histórico de
desligamentos. Logo, o algoritmo deve
avaliar se é vantajoso rejeitar cargas distintas
às conectadas aos nós 113 e 144, ou rejeitar
as mesmas cargas mesmo com a penalidade
correspondente. Após esta nova simulação, a
topologia resultante é apresentada na Figura
7. Fonte: Autores. Uma nova simulação foi realizada a
partir do cenário de sobrecarga #2, agora
considerando o histórico de desligamentos gura 7: Topologia da Rede referente ao Cenário de Sobrecarga #2, considerando Histórico
de Desligamentos
Fonte: Autores. Figura 7: Topologia da Rede referente ao Cenário de Sobrecarga #2, considerando Histórico
de Desligamentos Figura 7: Topologia da Rede referente ao Cenário de Sobrecarga #2, considerando Histórico
de Desligamentos Fonte: Autores. Fonte: Autores. Fonte: Autores. 36
v.5 n.2 2019 v.5 n.2 2019 36
v.5 n.2 36
v.5 n.2 2019 36
v.5 36 Caracterização da topologia referente
ao cenário de sobrecarga #2, considerando o
histórico de desligamentos: cargas conectadas aos nós 113 e 114 foram
desconectadas inicialmente (na situação
ainda sem histórico de desligamentos) por
estarem mais distantes do início do
alimentador, implicando em perdas técnicas
maiores ao longo do percurso. Apresentou perdas técnicas no
valor de 45,88 kW; Atendeu
aos
limites
de
carregamento dos cabos (Tabela
7). Note que a Fase A está quase
atingindo seu limite (453 A): AGRADECIMENTOS DUAN, D.-L. et al. Reconfiguration of
distribution network for loss reduction and
reliability improvement based on an
enhanced genetic algorithm. International
Journal of Electrical Power & Energy
Systems, v. 64, p. 88-95, 2015/01/01/ 2015. ISSN 0142-0615. Disponível em: <
http://www.sciencedirect.com/science/articl
e/pii/S0142061514004682 >. DUAN, D.-L. et al. Reconfiguration of
distribution network for loss reduction and
reliability improvement based on an
enhanced genetic algorithm. International
Journal of Electrical Power & Energy
Systems, v. 64, p. 88-95, 2015/01/01/ 2015. ISSN 0142-0615. Disponível em: <
http://www.sciencedirect.com/science/articl
e/pii/S0142061514004682 >. ESMAEILIAN, H. R.; FADAEINEDJAD,
R. Distribution system efficiency
improvement using network reconfiguration
and capacitor allocation. International
Journal of Electrical Power & Energy
Systems, v. 64, p. 457-468, 2015/01/01/
2015. ISSN 0142-0615. Disponível em: <
http://www.sciencedirect.com/science/articl
e/pii/S0142061514004098 >. GHASEMI, S. Balanced and unbalanced
distribution networks reconfiguration
considering reliability indices. Ain Shams
Engineering Journal, v. 9, n. 4, p. 1567-
1579, 2018/12/01/ 2018. ISSN 2090-4479. Di
í
l Os autores agradecem ao apoio institucional
do Instituto Federal do Espírito Santo (Ifes)
e da Universidade Federal do Espírito Santo
(Ufes). 37
v.5 n.2 2019 v.5 n.2 2019 37 4 CONCLUSÕES Vale ressaltar que a soma das cargas
monofásicas 113 e 114 são equivalentes às
cargas 70 e 71, sendo os nós localizados no
final das linhas e possuindo a mesma
topologia de impedância. Entretanto, as http://www.sciencedirect.com/science/articl p
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|
https://openalex.org/W2939607606
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https://www.frontiersin.org/articles/10.3389/fimmu.2019.00739/pdf
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English
| null |
FcγR-TLR Cross-Talk Enhances TNF Production by Human Monocyte-Derived DCs via IRF5-Dependent Gene Transcription and Glycolytic Reprogramming
|
Frontiers in immunology
| 2,019
|
cc-by
| 8,782
|
FcγR-TLR Cross-Talk Enhances TNF
Production by Human
Monocyte-Derived DCs via
IRF5-Dependent Gene Transcription
and Glycolytic Reprogramming Willianne Hoepel 1,2, Melissa Newling 1,2, Lisa T. C. Vogelpoel 2, Lathees Sritharan 1,2,
Ivo S. Hansen 1,2, Martien L. Kapsenberg 2, Dominique L. P. Baeten 1,2, Bart Everts 3 and
Jeroen den Dunnen 1,2* Willianne Hoepel 1,2, Melissa Newling 1,2, Lisa T. C. Vogelpoel 2, Lathees Sritharan 1,2,
Ivo S. Hansen 1,2, Martien L. Kapsenberg 2, Dominique L. P. Baeten 1,2, Bart Everts 3 and
Jeroen den Dunnen 1,2* 1 Amsterdam Rheumatology and Immunology Center, Amsterdam, Netherlands, 2 Department of Experimental Immunology,
Amsterdam UMC, Amsterdam Infection and Immunity Institute, University of Amsterdam, Amsterdam, Netherlands,
3 Department of Parasitology, Leiden University Medical Center, Leiden, Netherlands Antigen-presenting cells (APCs) such as dendritic cells (DCs) are crucial for initiation
of adequate inflammatory responses, which critically depends on the cooperated
engagement of different receptors. In addition to pattern recognition receptors (PRRs),
Fc gamma receptors (FcγRs) have recently been identified to be important in induction of
inflammation by DCs. FcγRs that recognize IgG immune complexes, which are formed
upon opsonization of pathogens, induce pro-inflammatory cytokine production through
cross-talk with PRRs such as Toll-like receptors (TLRs). While the physiological function
of FcγR-TLR cross-talk is to provide protective immunity against invading pathogens,
undesired activation of FcγR-TLR cross-talk, e.g., by autoantibodies, also plays a
major role in the development of chronic inflammatory disorders such as rheumatoid
arthritis (RA). Yet, the molecular mechanisms of FcγR-TLR cross-talk are still largely
unknown. Here, we identified that FcγR-TLR cross-talk-induced cytokine production
critically depends on activation of the transcription factor interferon regulatory factor
5 (IRF5), which results from induction of two different pathways that converge on
IRF5 activation. First, TLR stimulation induced phosphorylation of TBK1/IKKε, which is
required for IRF5 phosphorylation and subsequent activation. Second, FcγR stimulation
induced nuclear translocation of IRF5, which is essential for gene transcription by IRF5. We identified that IRF5 activation by FcγR-TLR cross-talk amplifies pro-inflammatory
cytokine production by increasing cytokine gene transcription, but also by synergistically
inducing glycolytic reprogramming, which is another essential process for induction
of inflammatory responses by DCs. Combined, here we identified IRF5 as a pivotal
component of FcγR-TLR cross-talk in human APCs. These data may provide new
potential targets to suppress chronic inflammation in autoantibody-associated diseases
that are characterized by undesired or excessive FcγR-TLR cross-talk, such as RA,
systemic sclerosis, and systemic lupus erythematous. Edited by:
Pierre Guermonprez,
King’s College London,
United Kingdom Reviewed by:
Bénédicte Manoury,
Institut National de la Santé et de la
Recherche Médicale (INSERM),
France
Diana Dudziak,
Universitätsklinikum Erlangen,
Germany *Correspondence:
Jeroen den Dunnen
j.dendunnen@amc.nl Specialty section:
This article was submitted to
Antigen Presenting Cell Biology,
a section of the journal
Frontiers in Immunology Received: 13 September 2018
Accepted: 19 March 2019
Published: 08 April 2019 ORIGINAL RESEARCH
published: 08 April 2019
doi: 10.3389/fimmu.2019.00739 ORIGINAL RESEARCH Cells and Stimulation This study was done according to the ethical guidelines of the
Academic Medical Center and human material was obtained in
accordance with the AMC Medical Ethics Review Committee
according to the Medical Research Involving Human Subjects
Act. Buffy coats obtained after blood donation (Sanquin blood
supply) are not subjected to informed consent, which is
according to the Medical Research Involving Human Subjects
Act and the AMC Medical Ethics Review Committee. All
samples were handled anonymously. Ethical review and approval
was not required for this study in accordance with the local
legislation. Monocytes were isolated from buffy coats by density
gradient centrifugation on Lymphoprep (Nycomed) and Percoll
(Pharmacia). DCs or macrophages were generated by culturing
monocytes for 6 days in IMDM (Lonza) containing 5% FBS
(Biowest) and 86 µg/mL gentamicin (Gibco), supplemented with
20 ng/mL GM-CSF (Invitrogen) and 2 ng/mL IL-4 (Miltenyi
Biotec) for DCs or 50 ng/mL recombinant human M-CSF
(BioLegend) for macrophages. At day 2 or 3, half of the medium
was replaced by new medium containing cytokines. In human APCs such as DCs, the best studied cytokine-
inducing FcγR is FcγRIIa. FcγRIIa has a low affinity for IgG,
and is therefore able to discriminate between unbound IgG and
IgG immune complexes (i.e., antigen-bound). While unbound
IgG, as present under homeostatic conditions, induces inhibitory
signaling (5), stimulation of FcγRIIa with immune complexes,
as present on opsonized pathogens, strongly enhances cytokine
production induced by TLRs (1, 6). Although monocytes and
macrophages are known also to express other FcRs such as FcγRI,
FcγRIIa is the main IgG receptor responsible for amplifying TLR
responses (2). The physiological function of FcγR-TLR cross-talk is to
counteract infections with various classes of pathogens. For
example, upon IgG opsonization of bacteria, the simultaneous
activation of FcγRIIa and TLRs specifically amplifies the
production of pro-inflammatory cytokines TNF, IL-1β, IL-6,
and IL-23 by human DCs, which in turn promote human T
helper 17 (Th17) skewing, thereby tailoring immune response
to counteract extracellular bacterial infections (1, 6). However,
in addition to its physiological function, FcγR-TLR cross-talk
can also be induced undesirably by immune complex formation
of autoantibodies. This pathological role of FcγR-TLR cross-talk
contributes to the pathogenesis of various autoimmune diseases
including rheumatoid arthritis (RA) (7). For silencing at day 3, cells were harvest by resuspending
(DCs) or by using TrypLE Select (Invitrogen) (macrophages). Citation: Hoepel W, Newling M, Vogelpoel LTC,
Sritharan L, Hansen IS,
Kapsenberg ML, Baeten DLP, Everts B
and den Dunnen J (2019) FcγR-TLR
Cross-Talk Enhances TNF Production
by Human Monocyte-Derived DCs via
IRF5-Dependent Gene Transcription
and Glycolytic Reprogramming. Front. Immunol. 10:739. doi: 10.3389/fimmu.2019.00739 Keywords: Fc gamma receptor (FcγR), interferon regulatory factor 5 (IRF5), dendritic cells, macrophages,
glycolytic reprogramming, tumor necrosis factor (TNF), rheumatoid arthritis (RA), chronic inflammation April 2019 | Volume 10 | Article 739 Frontiers in Immunology | www.frontiersin.org 1 FcγR-TLR Cross-Talk Depends on IRF5 Hoepel et al. INTRODUCTION for FcγR-induced cytokine production are distinct from other
FcγR-mediated functions such as phagocytosis (3). Compared
to FcγR signaling, relatively more is known about the signaling
pathways that are induced by individual stimulation of TLRs. TLRs signal via adaptor proteins such as MyD88 and/or TRIF
to activate various transcription factors including NF-κB and
MAP kinases, which are important for the transcription of pro-
inflammatory cytokines such as TNF (9). Yet, how TLR and
FcγR signaling pathways collaborate to synergistically amplify
pro-inflammatory cytokine production is still largely unknown. Protection against different classes of pathogens requires the
activation of antigen-presenting cells (APCs) such as dendritic
cells (DCs). A crucial step for shaping both innate and adaptive
immunity by DCs is the production of various pro-inflammatory
cytokines. DCs produce these cytokines upon detection of
pathogens or endogenous danger signals via activation of
different families of receptors, which collectively are referred to
as pattern recognition receptors (PRRs). Well-known examples
of PRRs include the families of Toll-like receptors (TLRs), NOD-
like receptors (NLRs), C-type lectins, and RIG-I-like receptors
(RLRs). However, the list of receptor families that control
cytokine production is still expanding. In this study, we identified that FcγR-TLR cross-talk-induced
cytokine production critically depends on activation of the
transcription factor interferon regulatory factor 5 (IRF5), which
results from collaborative IRF5 activation by both FcγRs and
TLRs. While TLR stimulation induced IRF5 phosphorylation,
FcγR stimulation was required for IRF5 nuclear translocation. Moreover, we identified that IRF5 activation by FcγR-TLR cross-
talk amplified pro-inflammatory cytokines production by both
increasing cytokine gene transcription and by inducing glycolytic
reprogramming, thereby identifying FcγRs as a new family of
receptors that can induce metabolic reprogramming. In recent years, it has become clear that also the family of
Fc gamma receptors (FcγRs), which are receptors for the Fc
region of immunoglobulin G (IgG), play an important role in
the induction of cytokines by DCs. While individual stimulation
of FcγRs elicits little cytokine production, FcγRs synergize
with PRRs such as TLRs to strongly but selectively amplify
pro-inflammatory cytokine production. FcγRs synergize with
TLRs that are expressed both intracellular (TLR3, TLR7/8) and
extracellular (TLR2, TLR4, TLR5), as well as other receptors such
as NLRs and particular cytokine receptors (1, 2). Combined,
modulation of cytokine production by FcγRs thereby tailors
immune responses to the immunological context (3, 4). Frontiers in Immunology | www.frontiersin.org Cells and Stimulation Cells were microporated in the presence of 500 nM IRF5 si-RNA
or control si-RNA (Dharmacon) and cultured for 3 more days in
IMDM without gentamicin with supplemented cytokines. DCs were harvested at day 6 by putting the cells on ice for
30 min and macrophages were harvested at day 6 by TrypLE
Select. For cIgG stimulation, 96-well high-affinity Maxisorp
plates (Nunc) were coated with 2 µg/mL IgG from pooled IgG
(Nanogam; Sanquin Blood Supply) diluted in PBS overnight at
4◦C, followed by blocking with PBS containing 10% FBS for 1 h
at 37◦C. Cells were stimulated (30,000–50,000 cells per well) with
10 µg/mL Pam3CSK4 (Invivogen). Co-stimulation experiments Remarkably, while FcγR-induced cytokine production plays
an important role in both host defense and various autoimmune
diseases, still very little is known about the underlying molecular
mechanisms. Similar to other FcγR-mediated functions such as
phagocytosis and ADCC, FcγR-induced cytokine production is
dependent on the upstream kinase Syk (8). However, recent
findings indicate that the downstream signaling events required April 2019 | Volume 10 | Article 739 2 FcγR-TLR Cross-Talk Depends on IRF5 Hoepel et al. round-bottom plate (Greiner Bio-One), washed in PBS, and
permeabilized using Perm III buffer (BD Biosciences) for at least
30 min at −20◦C. Cells were then washed in PBS containing
0.5% BSA and 0.1% sodium azide and stained for 1 h at RT
with a rabbit-anti-human-IRF5 antibody (1:200) (Cell Signaling)
or a rabbit-anti-human-pTBK1 antibody (1:50) (Ser172; Cell
Signaling), which also reacts to pIKKε, followed by a 30 min
staining
at
room
temperature
with
Alexafluor488-labeled
goat-anti-rabbit-IgG
antibody
(1:400)
(Molecular
Probes). Fluorescence was determined by flow cytometry (Canto II,
BD Biosciences). were performed by simultaneous exposure of the cells to cIgG
and Pam3. Syk was inhibited with 1 µM R406 (Selleckchem),
TBK1/IKKε was inhibited with 2 µM BX795 (Invivogen) and
glycolysis was blocked using 10 mM 2-Deoxy-D-glucose (2DG;
Sigma Aldrich). Cells were incubated with the inhibitor or the
corresponding volume of DMSO (Sigma-Aldrich) or medium for
30 min at 37◦C before stimulation. Western Blot For analysis of IRF5 phosphorylation, DCs were stimulated as
indicated in 6-well plates (1,250,000–2,000,000 cell per well)
(Costar) for 30 min. Cells were gently scraped and collected in
cold PBS. After washing, cells were lysed on ice for 10 min using
RIPA lysis buffy (Cell signaling) supplemented with protease and
phosphatase inhibitors (both from Roche). Lysates were briefly
sonificiated for 10 s at 30% and centrifuged for 10 min at 14,000
× g. BCA assay was performed (Thermo Scientific) and samples
were boiled with 4x Laemmli Sample Buffer (Bio-Rad) for 15 min
at 95◦C. Cell lysates were run on a 4–12% Bis-Tris protein gel
(Invitrogen) using MES-running buffer (Invitrogen). Proteins
were transferred to a PVDF membrane (GE healthcare) using
transfer buffer (Invitrogen) and blocked with 2% milk (Bio-Rad)
afterwards. Membrane was incubated in TBS Tween o/n at 4◦C
with indicated antibodies: Phospho-IRF5 (Ser437) polyclonal
antibody (1:1000) (Thermo Scientific), IRF5 (1:1000) (E1N9G)
rabbit mAb (Cell Signaling), or Actin antibody (I-19) (1:2000)
(Santa Cruz). Afterwards membrane washed with TBS Tween
and incubated for 1 h at room temperature with polyclonal swine
anti-rabbit immunoglobulins HRP (1:3000) (Dako). Fluorescence Microscopy py
For analysis of IRF5 translocation, DCs or macrophages were
stimulated as indicated in Maxisorp plates. After 2 h stimulation,
cells were washed with PBS, fixed with 3.7% formaldehyde
(Sigma-Aldrich) for 15 min at room temperature, washed in
PBS and stored in PBS containing 0.5% bovine serum albumin
(BSA; PAA) and 0.1% sodium azide (Merck) at 4◦C. Cells were
permeabilized with 0.2% Triton X-100 (Sigma-Aldrich) for 5 min
at room temperature and blocked for 30 min in PBS containing
0.5% BSA and 0.1% sodium azide. Cells were then stained with
a rabbit-anti-human-IRF5 antibody (1:400) (Cell Signaling) or
rabbit-anti-human NF-kB p65 antibody (1:100) (Cell Signaling)
for 45 min at room temperature, washed with PBS and stained
with a Cy3-labeled goat-anti-rabbit-IgG antibody (1:50) (Jackson
ImmunoResearch). Cells were again washed with PBS and
nuclei were stained using 1 µg/mL Hoechst (Immunochemistry
Technologies) for 1 min at room temperature. Cells were imaged
using a DM IRB inverted fluorescence microscope (Leica),
combined with a DFC 300FX digital color camera (Leica). Metabolic Assays y
Real-time analysis of the extracellular acidification rate (ECAR)
and the oxygen consumption rate (OCR) of DCs were
analyzed using an XF-96 Extracellular Flux Analyzer (Seahorse
Bioscience). 30,000 DCs were plated per well. To trigger FcγR
on DCs XF-96 cell culture plates were coated with 4 µg/ml
IgG prior to seeding of the cells. DCs were plated in glucose-
free medium after which glucose was added (10 mM) to the
cells during the assay to be able to determine true glycolysis-
driven ECAR. Thirty minutes after glucose addition cells were
stimulated with 10 µg/mL Pam3CSK4 during the essay after
which OCR and glycolysis-driven ECAR were determined 30 min
post stimulation. Quantitative RT-PCR For mRNA-level analysis, cells were lysed at the indicated time
points, after which mRNA extraction was performed using
RNeasy Mini Kit (Qiagen) and cDNA synthesis using RevertAid
H Minus First Strand cDNA Synthesis Kit (Fermentas). Quantitative RT-PCR (StepOnePlus Real-Time PCR System;
Thermo Fisher Scientific) was performed using Taqman Master
Mix and the following Taqman primers (all from Thermo Fisher
Scientific): GAPDH (4310884E), IRF5 (Hs00158114_m1), and
TNF (Hs00174128_m1). mRNA levels were normalized to the
geometric mean of the Ct-values of housekeeping gene GAPDH
[2Ct(housekeeping)−Ct(target)], and folds were calculated compared
with an unstimulated control sample (t = 0 h). ELISA For analysis of cytokine production, supernatants were harvested
after overnight stimulation and stored at −20◦C. Cytokine
levels in supernatants were measured by ELISA, using antibody
pairs for TNF (eBioscience), IL-Iβ, IL-6, and IL-23 (U-
CyTech Biosciences). Frontiers in Immunology | www.frontiersin.org FcγR Stimulation Induces IRF5
Nuclear Translocation The transcription factor IRF5 is constitutively expressed by
myeloid APCs (15), but to regulate gene transcription IRF5
needs to be translocated to the nucleus (24). Therefore, we
assessed IRF5 localization in human moDCs by fluorescence
microscopy upon FcγR-TLR co-stimulation. IRF5 contains two
nuclear localization signals (NLS) as well as a nuclear export
signal (NES) and therefore continuously shuttles in and out
of the nucleus (25–27). Indeed, in unstimulated moDCs IRF5
was present throughout the cell, both in the nucleus and the
cytoplasm (Figure 2A). Similar to unstimulated cells, TLR2-
stimulated moDCs also displayed an even distribution of
IRF5 (Figure 2A). In contrast, stimulation with cIgG, either
combined with TLR stimulation or not, resulted in near exclusive
accumulation of IRF5 in the nucleus (Figure 2A; quantified in
Figure 2B). As a control we also ascertained that (individual)
TLR stimulation of moDCs results in nuclear translocation
of NF-κB subunit p65 (Figures 2C,D), which is responsible
for TLR-induced pro-inflammatory cytokine production. Very
similar to moDCs, FcγR stimulation induced IRF5 nuclear
translocation in human macrophages (Figures 2E,F), suggesting
that nuclear translocation of IRF5 induced by FcγR stimulation
is a general mechanism in myeloid APCs. To study the role of IRF5 in FcγR-TLR cross-talk, we
made use of a small interfering (si)-RNA approach, which
on average resulted in a 60 % reduction of IRF5 mRNA
expression and a similar reduction in IRF5 protein in monocyte-
derived DCs (moDCs) (Figures 1C,D). For stimulation of FcγRs
and TLR2 we used plate-bound complexed IgG (cIgG) and
Pam3CSK4 (Pam3), respectively. While individual stimulation
with cIgG or Pam3 induced moderate amounts of TNF,
combined stimulation strongly and synergistically amplified TNF
production (Figure 1E). However, strikingly, silencing of IRF5
specifically reduced TNF protein production by FcγR-TLR cross-
talk, without affecting cytokine production induced by the
individual ligands (Figure 1E). In addition, we assessed whether
IRF5 is also responsible for FcγR-TLR cross talk-induced gene
transcription. Indeed, (partial) silencing of IRF5 reduced TNF
mRNA production upon FcγR-TLR co-stimulation (Figure 1F
for kinetics of representative donor, Figure 1G for multiple
donors). In contrast, TNF mRNA induced by TLR stimulation
alone was not affected by IRF5 silencing (Figure 1F), indicating
that IRF5 specifically controls TNF transcription induced by
FcγR-TLR cross-talk. Since FcγR-TLR cross-talk is known to depend on signaling
through the kinase Syk, we next assessed whether Syk is required
for IRF5 nuclear translocation. FcγR Stimulation Induces IRF5
Nuclear Translocation As shown in Figure 2G, Syk
inhibition by therapeutic small-molecule inhibitor R406 indeed
suppressed IRF5 nuclear translocation both upon individual
stimulation with cIgG and upon cIgG+Pam3 co-stimulation. These data indicate that, in human moDCs and macrophages,
stimulation with IgG immune complexes is responsible for
nuclear translocation of IRF5. FcγR-TLR Cross-Talk in Human moDCs
and Macrophages Is Dependent on IRF5 and Macrophages Is Dependent on IRF5
FcγR-TLR cross-talk plays an important role in inducing
inflammation during both bacterial infections and autoimmune
diseases (1, 2, 6, 8). As illustrated in Figures 1A,B (representative
donor and multiple donors, respectively), FcγR-TLR cross-talk
synergistically amplifies the production of key pro-inflammatory
cytokines TNF, IL-1β, and IL-23, while other cytokines such as
IL-6 are not affected. Here, we set out to identify the molecular
mechanisms underlying this response, using TNF production
as a main read-out for FcγR-TLR cross-talk. FcγR-TLR cross-
talk is known to amplify TNF production at the level of gene
transcription (1, 8). Here, we hypothesized a role for IRF5, since
this transcription factor is known to be involved in enhancing
TNF transcription (10–14), is highly expressed in human myeloid
APCs (15), and since IRF5 polymorphisms are a known risk
factor for several autoimmune diseases (16–22). Data Analysis For
analysis
of
TBK1/IKKε
phosphorylation,
DCs
or
macrophages were stimulated as indicated in 48-well plates
(Greiner Bio-One) for 30 min and fixed using Lyse/Fix buffer
(BD Biosciences) for 10 min at room temperature. For analysis of
IRF5, unstimulated DCs were also lysed and transferred in a 96-
well plate following the same protocol as TBK1 phosphorylation. Cells were harvested by gentle scraping, transferred to a 96-well Co-localization quantification of the fluorescence microscopy
data was done using Huygens Professional software (SVI,
Hilversum,
The
Netherlands)
calculating
the
Manders
Coefficients. Western blots were analyzed using ImageJ. Data
were analyzed for statistical significance using student’s t-test
with GraphPad Prism version 7 software (GraphPad Software). April 2019 | Volume 10 | Article 739 Frontiers in Immunology | www.frontiersin.org 3 FcγR-TLR Cross-Talk Depends on IRF5 Hoepel et al. | FcγR-TLR cross-talk in human moDCs and macrophages is dependent on IRF5. (A,B) Human monocyte-derived dendritic cells (moDC) were stimulated
CSK4 (Pam3), cIgG, or the combination for 24 h. Protein production was determined by ELISA. (A) Representative examples of experiments performed in
mean + SEM). (B) Protein production of multiple donors, each pair of dots represent one donor. (C,D) IRF5 in human moDCs and macrophages was
sing specific si-RNA. (C) IRF5 mRNA expression of unstimulated moDCs or macrophages (Mφ), after IRF5 silencing (si-IRF5) or non-targeted control
si-C). Data shown is IRF5 mRNA expression as percentage of control of IRF5 mRNA expression in si-C conditions. Mean + SD of three (moDC) or eight
(Continued) FIGURE 1 | FcγR-TLR cross-talk in human moDCs and macrophages is dependent on IRF5. (A,B) Human monocyte-derived dendritic cells (moDC) were stimulated
with Pam3CSK4 (Pam3), cIgG, or the combination for 24 h. Protein production was determined by ELISA. (A) Representative examples of experiments performed in
triplicate (mean + SEM). (B) Protein production of multiple donors, each pair of dots represent one donor. (C,D) IRF5 in human moDCs and macrophages was
silenced using specific si-RNA. (C) IRF5 mRNA expression of unstimulated moDCs or macrophages (Mφ), after IRF5 silencing (si-IRF5) or non-targeted control
silencing (si-C). Data shown is IRF5 mRNA expression as percentage of control of IRF5 mRNA expression in si-C conditions. Mean + SD of three (moDC) or eight
(Continued) April 2019 | Volume 10 | Article 739 4 Frontiers in Immunology | www.frontiersin.org FcγR-TLR Cross-Talk Depends on IRF5 Hoepel et al. FIGURE 1 | experiments (Mφ). Data Analysis (D) IRF5 protein expression of unstimulated moDCs after IRF5 silencing or non-targeted control silencing measured by flow cytometry. (E,H) Control or IRF5-silenced moDCs (E) and macrophages (H) were stimulated with Pam3, cIgG, or the combination for 6 h. Protein production was determined by
ELISA. Data shown is protein production normalized to Pam3-induced TNF production for each experiment (set to 1), mean + SD of three (E) or six (H) experiments
using different donors. (F,I) Control or IRF5-silenced moDCs (F) and macrophages (I) were stimulated with Pam3, cIgG, or in combination and TNF mRNA expression
(normalized to housekeeping gene expression) was determined at indicated time points by quantitative RT-PCR. Representative examples of four experiments. (G,J) TNF mRNA expression after 6 h co-stimulation of control or IRF5-silenced moDCs (G) and Mφ (J) of multiple donors. Each pair of dots represents one donor. *p < 0.05, **p < 0.01, Student’s t-test. Frontiers in Immunology | www.frontiersin.org RESULTS Combined, these data demonstrate that the synergistic
induction of TNF by FcγR-TLR cross-talk in human moDCs and
macrophages is dependent on IRF5. FcγR-TLR Cross-Talk Is Dependent on
TLR-Induced Phosphorylation of
TBK1/IKKε and IRF5 To determine whether IRF5 is only essential for FcγR-TLR
cross-talk in moDCs, or whether it is also required for FcγR-
TLR cross-talk in other cell types, we assessed the effect of IRF5
silencing on human macrophages, which are the main source
of TNF in inflamed synovia of RA patients (23). Similar to
moDCs, silencing of IRF5 in monocyte-derived macrophages
(Figure 1C) specifically reduced TNF production induced by
FcγR-TLR synergy, both on protein (Figure 1H) and mRNA
(Figures 1I,J). While individual FcγR stimulation induced IRF5 translocation
into the nucleus, it is not sufficient to induce TNF transcription
(1, 6, 8). Importantly, in addition to nuclear translocation,
IRF5 needs to be activated by phosphorylation in order to
be transcriptionally active (14, 25, 26, 28, 29). Therefore, we
determined IRF5 phosphorylation upon (co-)stimulation of
human moDCs by Western blot. Interestingly, while Pam3 April 2019 | Volume 10 | Article 739 Frontiers in Immunology | www.frontiersin.org 5 FcγR-TLR Cross-Talk Depends on IRF5 Hoepel et al. FIGURE 2 | FcγR stimulation induces IRF5 nuclear translocation. (A,E) Human monocyte-derived dendritic cells (moDC) (A) and macrophages (Mφ) (E) were
stimulated with Pam3CSK4 (Pam3), cIgG, or the combination for 2 h and stained for IRF5 (red) and nuclei (Hoechst, blue). Representative images of three
independent experiments, bar: 20 µm. (B,D,F) Quantification of the microscopy data showing percent co-localization of three experiments (mean + SD). *p < 0.05,
**p < 0.01, Student’s t-test. (C) moDCs were stimulated with Pam3 and stained for p65 (red) and nuclei (Hoechst, blue). Representative image of three independent
experiments. (G) Human monocyte derived macrophages were pre-incubated with the Syk inhibitor R406 and stimulated with Pam3, cIgG, or the combination for 2 h
and stained for IRF5 (red) and nuclei (Hoechst, blue). Representative images of three independent experiments, bar: 20 µm. stimulation induced IRF5 phosphorylation stimulation with
also needs to be phosphorylated in order to execute kinase FIGURE 2 | FcγR stimulation induces IRF5 nuclear translocation. (A,E) Human monocyte-derived dendritic cells (moDC) (A) and macrophages (Mφ) (E) were
stimulated with Pam3CSK4 (Pam3), cIgG, or the combination for 2 h and stained for IRF5 (red) and nuclei (Hoechst, blue). Representative images of three
independent experiments, bar: 20 µm. (B,D,F) Quantification of the microscopy data showing percent co-localization of three experiments (mean + SD). *p < 0.05,
**p < 0.01, Student’s t-test. (C) moDCs were stimulated with Pam3 and stained for p65 (red) and nuclei (Hoechst, blue). FcγR-TLR Cross-Talk Is Dependent on
TLR-Induced Phosphorylation of
TBK1/IKKε and IRF5 Representative image of three independent
experiments. (G) Human monocyte derived macrophages were pre-incubated with the Syk inhibitor R406 and stimulated with Pam3, cIgG, or the combination for 2 h
and stained for IRF5 (red) and nuclei (Hoechst, blue). Representative images of three independent experiments, bar: 20 µm. FIGURE 2 | FcγR stimulation induces IRF5 nuclear translocation. (A,E) Human monocyte-derived dendritic cells (moDC) (A) and macrophages (Mφ) (E) were
stimulated with Pam3CSK4 (Pam3), cIgG, or the combination for 2 h and stained for IRF5 (red) and nuclei (Hoechst, blue). Representative images of three
independent experiments, bar: 20 µm. (B,D,F) Quantification of the microscopy data showing percent co-localization of three experiments (mean + SD). *p < 0.05,
**p < 0.01, Student’s t-test. (C) moDCs were stimulated with Pam3 and stained for p65 (red) and nuclei (Hoechst, blue). Representative image of three independent
experiments. (G) Human monocyte derived macrophages were pre-incubated with the Syk inhibitor R406 and stimulated with Pam3, cIgG, or the combination for 2 h
and stained for IRF5 (red) and nuclei (Hoechst, blue). Representative images of three independent experiments, bar: 20 µm. stimulation induced IRF5 phosphorylation, stimulation with
cIgG did not (Figure 3A, quantified as pIRF5/IRF5 ratio for
multiple donors in Figure 3B). These data indicate that while
FcγR stimulation induces IRF5 nuclear translocation, TLR
stimulation is required for IRF5 phosphorylation. also needs to be phosphorylated in order to execute kinase
activity
(31),
we
assessed
TBK1/IKKε
phosphorylation
by flow cytometry after (co-)stimulation. Similar to IRF5
phosphorylation, we found that stimulation with Pam3 induced
TBK1/IKKε phosphorylation, while stimulation with cIgG did
not (Figure 3C, quantified for multiple donors in Figure 3D). IRF5 phosphorylation can be induced by TBK1, a member
of the Iκ kinase (IKK) family that shares larges structural and
functional similarity to IKKε (25, 26, 30). Since TBK1/IKKε To determine whether TBK1/IKKε is required for cytokine
production by FcγR-TLR cross-talk, we inhibited TBK1/IKKε April 2019 | Volume 10 | Article 739 Frontiers in Immunology | www.frontiersin.org 6 FcγR-TLR Cross-Talk Depends on IRF5 Hoepel et al. FIGURE 3 | FcγR-TLR cross-talk is dependent on TLR-induced phosphorylation of TBK1/IKKε and IRF5. (A) Human monocyte-derived dendritic cells (moDC) were
stimulated with Pam3CSK4 (Pam3), cIgG, or the combination for 30 min. IRF5 phosphorylation at Ser437 and total IRF5 expression was assessed by Western blot. Data shown is representative example of three independent experiments. FcγR-TLR Cross-Talk Is Dependent on
TLR-Induced Phosphorylation of
TBK1/IKKε and IRF5 Thus, while FcγR stimulation induces nuclear translocation of
IRF5, TLR stimulation induces phosphorylation of TBK1/IKKε
and IRF5, which combined results in nuclear translocation of
phosphorylated IRF5 to modulate cytokine gene transcription. Next, we set out to investigate whether the amplification
of the glycolytic response by FcγR-TLR cross-talk was also
dependent on IRF5. While silencing of IRF5 did not affect the
ECAR induced by individual stimulation with cIgG or Pam3,
IRF5 silencing did inhibit the increased ECAR induced upon
co-stimulation (Figure 4D). These data indicate that FcγR-TLR
cross-talk amplifies the glycolytic response via IRF5. FcγR-TLR Cross-Talk Is Dependent on
TLR-Induced Phosphorylation of
TBK1/IKKε and IRF5 (B) Quantification of the three independent Western blot experiments using ImageJ (mean +
SD). First bands were corrected for actin, after which the pIRF5/IRF5 ratio was calculated. (C) Human moDCs and macrophages (Mφ) were stimulated with Pam3,
cIgG, or the combination for 30 min and stained for p-TBK1/IKKε and analyzed by flow cytometry (10log scale, light gray indicates background staining). Representative example of four (DCs) and three (Mφ) experiments. (D) 1MFI of pTBK1 of four (moDCs) and three (Mφ) independent experiments (mean + SD). (E) After pre-incubation with 2 µM BX795 or the corresponding volume of DMSO, moDCs, and macrophages were stimulated with Pam3, or cIgG combined with
Pam3 for 24 h and TNF production was determined by ELISA. Mean + SD of four independent experiments. *p < 0.05, Student’s t-test. FIGURE 3 | FcγR-TLR cross-talk is dependent on TLR-induced phosphorylation of TBK1/IKKε and IRF5. (A) Human monocyte-derived dendritic cells (moDC) were
stimulated with Pam3CSK4 (Pam3), cIgG, or the combination for 30 min. IRF5 phosphorylation at Ser437 and total IRF5 expression was assessed by Western blot. Data shown is representative example of three independent experiments. (B) Quantification of the three independent Western blot experiments using ImageJ (mean +
SD). First bands were corrected for actin, after which the pIRF5/IRF5 ratio was calculated. (C) Human moDCs and macrophages (Mφ) were stimulated with Pam3,
cIgG, or the combination for 30 min and stained for p-TBK1/IKKε and analyzed by flow cytometry (10log scale, light gray indicates background staining). Representative example of four (DCs) and three (Mφ) experiments. (D) 1MFI of pTBK1 of four (moDCs) and three (Mφ) independent experiments (mean + SD). (E) After pre-incubation with 2 µM BX795 or the corresponding volume of DMSO, moDCs, and macrophages were stimulated with Pam3, or cIgG combined with
Pam3 for 24 h and TNF production was determined by ELISA. Mean + SD of four independent experiments. *p < 0.05, Student’s t-test. using small-molecule inhibitor BX795. Indeed, BX795 abrogated
FcγR-TLR cross-talk-induced TNF production (Figure 3E). for the glycolytic rate), and the rate of oxygen consumption
(OCR), as a measure of oxidative phosphorylation. Notably,
stimulation with cIgG indeed increased the ECAR, which was
even further enhanced upon co-stimulation with cIgG and Pam3
(Figure 4B). In contrast, the OCR was not affected by individual
stimulation with cIgG or Pam3, and only moderately increased
upon co-stimulation (Figure 4C). Frontiers in Immunology | www.frontiersin.org FcγR-TLR Cross-Talk Induces Glycolytic
Reprogramming via IRF5 Amplification of cytokine production can be orchestrated at both
the transcriptional and translational level. Interestingly, upon
FcγR co-stimulation of moDCs, the fold increase in expression
of TNF mRNA was lower than that fold increase at the protein
level (Figure 4A), suggesting that increased translation also
contributes to the amplified cytokine response. In DCs, increased
cytokine mRNA translation in response to TLR stimulation has
been shown to be underpinned by a rapid increase in glycolytic
rate, to serve as a carbon source for de novo fatty acid synthesis
to support expansion of the endoplasmic reticulum required for
increased cytokine gene translation (32, 33). This, together with
the recent finding that IRF5 is able to increase the glycolysis
in macrophages (34), led us to hypothesize that FcγR (co-)
stimulation induces a similar metabolic reprogramming via IRF5
to support increased translation. To this end, we stimulated
moDCs and analyzed them for changes in rates of extracellular
acidification (ECAR), as a measure of lactate production (a proxy To assess whether the increased glycolysis by FcγR-TLR
cross-talk indeed contributes to the induction of cytokine
responses, we stimulated moDCs in the presence of 2-
deoxyglucose (2DG), which blocks glycolysis by inhibiting
hexokinase activity (35). In line with previous findings,
2DG suppressed cytokine production induced by individual
TLR stimulation (Figure 4E). In addition, 2DG also strongly
suppressed cytokine production upon co-stimulation with
cIgG and Pam3 (Figure 4E). Interestingly, while 2DG strongly
impaired FcγR-TLR cross-talk-induced TNF protein production,
blocking of glycolysis had very little effect on FcγR-TLR cross-
talk-induced TNF gene transcription (representative donor
Figure 4F, multiple donors Figure 4G). These data indicate that April 2019 | Volume 10 | Article 739 Frontiers in Immunology | www.frontiersin.org 7 FcγR-TLR Cross-Talk Depends on IRF5 Hoepel et al. FIGURE 4 | FcγR-TLR cross-talk induces glycolytic reprogramming via IRF5. (A) TNF fold increase in human monocyte derived DCs (moDCs) after co-stimulation with
Pam3 and cIgG for mRNA and protein. Fold increase of TNF was determined by setting Pam3 stimulation at 1 and calculating fold increase after co-stimulation at t =
3 h (mRNA) or t = 24 h (protein). Mean + SD of four (mRNA) or eight (protein) experiments. (B,C) moDCs were stimulated for 30 min with Pam3, cIgG, or the
combination and extracellular acidification rate (ECAR) (B) and oxygen consumption rate (OCR) (C) was determined. Values are normalized to unstimulated moDCs for
each experiment (set to 1). FcγR-TLR Cross-Talk Induces Glycolytic
Reprogramming via IRF5 Mean + SD of four experiments. (D) Control or IRF5-silenced moDCs were stimulated with Pam3, cIgG, or the combination for 30 min and
ECAR was measured. Representative experiment in triplicate of three independent experiments. (E,F) After 30 min pre-incubation with 10 mM 2-Deoxy-D-glucose
(2DG), moDCs were stimulated with Pam3, cIgG, or in combination. (E) TNF production after 24 h was determined by ELISA; representative example in triplicate of
eight independent experiments. (F) TNF mRNA expression was determined at indicated time points (normalized to housekeeping gene expression) by quantitative
RT-PCR; representative example of four independent experiments. (G) TNF fold increase after co-stimulation with Pam3 and cIgG with and without 2DG. Fold
increase of TNF was determined by setting Pam3 stimulation at 1 and calculating fold increase after co-stimulation at t = 3 h. Mean + SD of four experiments. Each
pair of dots represent one donor. *p < 0.05, Student’s t-test. FIGURE 4 | FcγR-TLR cross-talk induces glycolytic reprogramming via IRF5. (A) TNF fold increase in human monocyte derived DCs (moDCs) after co-stimulation with
Pam3 and cIgG for mRNA and protein. Fold increase of TNF was determined by setting Pam3 stimulation at 1 and calculating fold increase after co-stimulation at t =
3 h (mRNA) or t = 24 h (protein). Mean + SD of four (mRNA) or eight (protein) experiments. (B,C) moDCs were stimulated for 30 min with Pam3, cIgG, or the
combination and extracellular acidification rate (ECAR) (B) and oxygen consumption rate (OCR) (C) was determined. Values are normalized to unstimulated moDCs for
each experiment (set to 1). Mean + SD of four experiments. (D) Control or IRF5-silenced moDCs were stimulated with Pam3, cIgG, or the combination for 30 min and
ECAR was measured. Representative experiment in triplicate of three independent experiments. (E,F) After 30 min pre-incubation with 10 mM 2-Deoxy-D-glucose
(2DG), moDCs were stimulated with Pam3, cIgG, or in combination. (E) TNF production after 24 h was determined by ELISA; representative example in triplicate of
eight independent experiments. (F) TNF mRNA expression was determined at indicated time points (normalized to housekeeping gene expression) by quantitative
RT-PCR; representative example of four independent experiments. (G) TNF fold increase after co-stimulation with Pam3 and cIgG with and without 2DG. Fold
increase of TNF was determined by setting Pam3 stimulation at 1 and calculating fold increase after co-stimulation at t = 3 h. Mean + SD of four experiments. FcγR-TLR Cross-Talk Induces Glycolytic
Reprogramming via IRF5 Each
pair of dots represent one donor. *p < 0.05, Student’s t-test. (schematically depicted in Figure 5). While TLR stimulation
induces
IRF5
phosphorylation,
FcγR
stimulation
results
in IRF5 nuclear translocation. In addition, we identified
that during FcγR-TLR cross-talk IRF5 amplifies cytokine
production in at least two different ways. First, IRF5 increases
cytokine gene transcription. Second, IRF5 induces glycolytic
reprogramming, which amplifies cytokine production in a
post-transcriptional manner. the glycolytic changes induced by FcγR-TLR cross-talk, although
essential for protein production, have little effect on cytokine
gene transcription. Taken together, these data identify that IRF5 activation by
FcγR-TLR cross-talk does not only enhance cytokine gene
transcription, but also boosts translation through glycolytic
reprogramming
that
together
account
for
the
strongly
increased pro-inflammatory profile of moDCs activated by
FcγR-TLR cross-talk. IRF5 is a transcription factor that was originally identified
to be involved in type I interferon (IFN) production and
antiviral responses. Over the last decade, multiple additional
functions of IRF5 have been identified (24). Of these, the
role of IRF5 in promoting transcription of pro-inflammatory
cytokines such as TNF is the most pronounced (10–14). In
addition, IRF5 expression has been identified as a marker
to discriminate between subsets of macrophages, since IRF5
expression is higher in inflammatory macrophage subsets
(12). Although IRF5 expression levels differ between different
immune cells, our data indicate that IRF5 is required for Frontiers in Immunology | www.frontiersin.org DISCUSSION Simultaneous activation of IRF5 by TLRs and FcγRs amplifies
pro-inflammatory cytokine production in two ways. First, IRF5 increases
cytokine gene transcription. Second, IRF5 increases the glycolytic rate, which
amplifies cytokine production in a post-transcriptional manner. FcγRs such as FcγRIIa signal through an ITAM sequence in
the cytoplasmic tail, which is a common signaling module used
by a variety of receptors, including B cell receptors and T cell
receptors, and other members of the Fc receptor family (42, 43). Interestingly, cross-talk with TLRs has previously been described
for various other Fc receptor family members, including FcαRI
(33, 44) and FcεRI (45, 46). In addition, Fc receptors have been
shown to not only amplify cytokine responses induced by TLRs,
but also by several other receptors such as NLRs, C-type lectins,
IL-1R, and IFNγR (2, 33, 44). The fact that the cross-talk of
different Fc receptors with various PRRs and cytokine receptors
in different cell types all amplify pro-inflammatory cytokines in
a similar manner suggests that the identified pathway may be a
general mechanism of synergy between ITAM signaling receptors
and PRRs, analogous to the previously described collaboration
between the ITAM signaling module and JAK-STAT signaling
pathways (42). FcγR-TLR cross-talk in various human APCs, including DCs
and macrophages. We identified that IRF5 promotes inflammation by both
enhancing gene transcription and by inducing glycolytic
reprogramming. IRF5 is known to enhance gene transcription
of pro-inflammatory genes such as TNF by both directly
binding to IFN-stimulated response element (ISRE) regions
in the TNF promoter, and by forming a complex with other
transcription factors, specifically NF-κB subunit p65 (13). Transcriptional activation of IRF5 is strictly regulated by
different and independent post-translational modifications, to
ensure initiation of appropriate immune response and prevent
unrestrained inflammation. On one hand, IRF5 needs to be
phosphorylated, which enables dimerization that is required for
DNA binding (14, 25, 26, 28, 29). On the other hand, IRF5
needs to be translocated into the nucleus, which is achieved
via K63-ubiquitination of IRF5 (25, 26, 36). Hence, either
phosphorylation or ubiquitination individually are generally not
sufficient for full IRF5 activation (24–26). Based on our findings
and current literature we here propose a cooperation model
of IRF5-dependent gene transcription upon FcγR-TLR cross-
talk (schematically depicted in Figure 5). In this model, TLR
stimulation induces TBK1/IKKε-dependent phosphorylation of
IRF5, which is required for IRF5 activation. Additionally,
FcγR stimulation induces Syk-dependent nuclear translocation
of IRF5. DISCUSSION FcγR-TLR
cross-talk
in
human
myeloid
APCs
is
an
important initiator of inflammation during both infection
and autoimmunity (1, 2, 6, 8). However, the molecular
mechanisms underlying this cross-talk are still largely unknown. Here, we identified a crucial role for IRF5, which is activated
by two different pathways during FcγR-TLR co-stimulation to
synergistically amplify pro-inflammatory cytokine production April 2019 | Volume 10 | Article 739 Frontiers in Immunology | www.frontiersin.org 8 FcγR-TLR Cross-Talk Depends on IRF5 Hoepel et al. FIGURE 5 | Model for enhanced TNF production upon FcγR-TLR cross-talk
via IRF5. TLR stimulation induces TBK1/IKKε phosphorylation that leads to
IRF5 phosphorylation, while FcγR signaling induces IRF5 nuclear
translocation. Simultaneous activation of IRF5 by TLRs and FcγRs amplifies
pro-inflammatory cytokine production in two ways. First, IRF5 increases
cytokine gene transcription. Second, IRF5 increases the glycolytic rate, which
amplifies cytokine production in a post-transcriptional manner. of an E3 ligase that induces K63-ubiquitination of IRF5. Interestingly, Syk has been previously coupled to IRF5 activation,
which was indeed independent of IRF5 phosphorylation (24,
37). In this regard, a relevant candidate E3 ligase is TRAF6
(38, 39), which has previously been identified to K63-ubiquinate
IRF5 (36). Interestingly, also TRAF6 activation by Syk has been
described to be dependent on K63-linked ubiquitination (40). Another candidate is Pellino-1, which additionally provides a
connection between K63-ubiquitination of IRF5 and glucose
metabolism (41). In addition to increasing gene transcription, we identified
that FcγR-TLR cross-talk also induces glycolytic reprogramming
by IRF5. Interestingly, this finding corroborates a recent study
by Hedl et al., which shows that IRF5 regulates the glycolytic
rate in human and murine macrophages (34). IRF5 increases
the glycolysis upon NLR stimulation via activation of the kinase
Akt2, which upregulates the transcription of various glycolytic
genes (34). However, remarkably, the phosphorylation of Akt2,
which is essential for Akt2 activation, is independent of IRF5
phosphorylation (34), suggesting that also other posttranslational
modifications of IRF5 are required for increasing glycolysis. Since FcγR stimulation induces IRF5 nuclear translocation,
which is dependent on K63-ubiquitination (36, 41), the
increased glycolysis by FcγR-TLR cross-talk may therefore
depend on multiple posttranslational modifications of IRF5,
which ultimately lead to increased Akt2 activation and glycolysis. FIGURE 5 | Model for enhanced TNF production upon FcγR-TLR cross-talk
via IRF5. TLR stimulation induces TBK1/IKKε phosphorylation that leads to
IRF5 phosphorylation, while FcγR signaling induces IRF5 nuclear
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enhanced interferon regulatory factor 5 expression in blood cells of patients
with systemic lupus erythematosus. Arthritis Rheum. (2010) 62:562–73. doi: 10.1002/art.27223 8. Vogelpoel LT, Hansen IS, Rispens T, Muller FJ, van Capel TM, Turina MC,
et al. Fc gamma receptor-TLR cross-talk elicits pro-inflammatory cytokine
production by human M2 macrophages. Nat Commun. (2014) 5:5444. doi: 10.1038/ncomms6444 20. Xu WD, Pan HF, Xu Y, Ye DQ. Interferon regulatory factor 5 and autoimmune
lupus. Expert Rev Mol Med. (2013) 15:e6. doi: 10.1017/erm.2013.7 9. Kumar H, Kawai T, Akira S. Toll-like receptors and innate immunity. Biochem
Biophys Res Commun. (2009) 388:621–5. doi: 10.1016/j.bbrc.2009.08.062 21. Tang L, Chen B, Ma B, Nie S. Association between IRF5 polymorphisms and
autoimmune diseases: a meta-analysis. Genet Mol Res. (2014) 13:4473–85. doi: 10.4238/2014.June.16.6 10. Takaoka A, Yanai H, Kondo S, Duncan G, Negishi H, Mizutani T, et al. Integral role of IRF-5 in the gene induction programme activated by Toll-like
receptors. Nature. (2005) 434:243–9. doi: 10.1038/nature03308 22. Almuttaqi H, Udalova IA. Advances and challenges in targeting irf5, a key
regulator of inflammation. FEBS J. (2018). doi: 10.1111/febs.14654. [Epub
ahead of print]. 11. Ouyang X, Negishi H, Takeda R, Fujita Y, Taniguchi T, Honda K. Cooperation between MyD88 and TRIF pathways in TLR synergy via
IRF5 activation. Biochem Biophys Res Commun. (2007) 354:1045–51. doi: 10.1016/j.bbrc.2007.01.090 23. Brennan FM, McInnes IB. Evidence that cytokines play a role in rheumatoid
arthritis. J Clin Invest. (2008) 118:3537–45. doi: 10.1172/JCI36389 12. Krausgruber T, Blazek K, Smallie T, Alzabin S, Lockstone H, Sahgal N,
et al. IRF5 promotes inflammatory macrophage polarization and TH1-TH17
responses. Nat Immunol. (2011) 12:231–8. doi: 10.1038/ni.1990 24. FUNDING Taken together, we identified IRF5 as a key component of
FcγR-TLR cross-talk in human antigen-presenting cells. Our data
strengthen the concept of a powerful pro-inflammatory role of
IRF5 through amplification of gene transcription and metabolic
reprogramming. Because undesired activation by autoantibodies
contributes to the pathogenesis of various chronic inflammatory
disorders, targeting of FcγR-TLR signaling may be a valuable tool
to suppress inflammation in diseases such as RA, systemic lupus
erythematous (SLE), and inflammatory bowel disease (IBD). This
work
was
supported
by
grants
from
the
Netherlands
Organization
of
Scientific
Research
(NWO;
VENI,
project
no. 91611012)
and
the
Amsterdam
UMC
(AMC
Fellowship
2015). Grants
were
given
to JdD. AUTHOR CONTRIBUTIONS We thank Sonja I. Gringhuis for providing scientific input
during concept development. We thank Daisy I. Picavet and
Ron A. Hoebe for assistance in (analysis of) fluorescence
microscopy experiments. JdD: conceptualization; WH, MN, LV, MK, BE, and JdD:
methodology; WH, MN, LV, LS, IH, BE, and JdD: investigation; DISCUSSION Together, these two pathways cooperate leading to
activated IRF5 inside the nucleus, thereby amplifying cytokine
gene transcription. FcγR-TLR cross-talk provides protective immunity against
various pathogens including bacteria and viruses (1, 3, 47), but
is detrimental in various autoimmune diseases, since it strongly
promotes the production of pathogenic pro-inflammatory
cytokines (6, 8). Interestingly, IRF5 activation is also tightly
associated with various chronic inflammatory disorders (17, 18,
21, 22). In addition, disease-associated IRF5 polymorphisms have
previously been shown to dramatically affect cytokine production
by myeloid immune cells by both increasing gene transcription
and glycolysis (34, 48). Disease-associated IRF5 polymorphisms
are generally associated with higher IRF5 expression, but some
polymorphisms also give rise to novel IRF5 isoforms (49). For
future research, it would be very interesting to determine whether
disease-associated IRF5 polymorphisms also promote cytokine How FcγRIIa triggering induces IRF5 nuclear translocation is
still speculative, but it may result from Syk-dependent activation April 2019 | Volume 10 | Article 739 Frontiers in Immunology | www.frontiersin.org 9 FcγR-TLR Cross-Talk Depends on IRF5 Hoepel et al. WH, LV, and JdD: writing the original draft; MK, DB, BE, and
JdD: reviewing and editing the manuscript. production by enhancing FcγR-TLR cross-talk. In addition,
targeting of IRF5, or its upstream activators such as TBK1/IKKε,
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Biol Chem. (1957) 224:963–9. Frontiers in Immunology | www.frontiersin.org Conflict of Interest Statement: DB is also an employee of Union Chimique Belge. Conflict of Interest Statement: DB is also an employee of Union Chimique Belge. 36. Balkhi MY, Fitzgerald KA, Pitha PM. Functional regulation of MyD88-
activated interferon regulatory factor 5 by K63-linked polyubiquitination. Mol
Cell Biol. (2008) 28:7296–308. doi: 10.1128/MCB.00662-08 The remaining 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. 37. del Fresno C, Soulat D, Roth S, Blazek K, Udalova I, Sancho D, et al. Interferon-β production via dectin-1-Syk-IRF5 signaling in dendritic cells
is crucial for immunity to C. albicans. Immunity. (2013) 38:1176–86. doi: 10.1016/j.immuni.2013.05.010 Copyright © 2019 Hoepel, Newling, Vogelpoel, Sritharan, Hansen, Kapsenberg,
Baeten, Everts and den Dunnen. 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. 38. Yamada T, Fujieda S, Yanagi S, Yamamura H, Inatome R, Yamamoto H, et al. IL-1 induced chemokine production through the association of Syk with
TNF receptor-associated factor-6 in nasal fibroblast lines. J Immunol. (2001)
167:283. doi: 10.4049/jimmunol.167.1.283 April 2019 | Volume 10 | Article 739 Frontiers in Immunology | www.frontiersin.org 11
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English
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<i>KRAS</i> exon 2 codon 13 mutation is associated with a better prognosis than codon 12 mutation following lung metastasectomy in colorectal cancer
|
Oncotarget
| 2,016
|
cc-by
| 6,404
|
Stéphane Renaud1,2,3, Francesco Guerrera1,4, Joseph Seitlinger1, Lorena Costardi4,
Mickaël Schaeffer5, Benoit Romain3,6, Claudio Mossetti4, Anne Claire-Voegeli7, Pier
Luigi Filosso4, Michèle Legrain7, Enrico Ruffini4, Pierre-Emmanuel Falcoz1, Alberto
Oliaro4, Gilbert Massard1 Stéphane Renaud1,2,3, Francesco Guerrera1,4, Joseph Seitlinger1, Lorena Costardi4,
Mickaël Schaeffer5, Benoit Romain3,6, Claudio Mossetti4, Anne Claire-Voegeli7, Pier
Luigi Filosso4, Michèle Legrain7, Enrico Ruffini4, Pierre-Emmanuel Falcoz1, Alberto
Oliaro4, Gilbert Massard1
1Department of Thoracic Surgery, Strasbourg University Hospital, Strasbourg, France
2Department of Thoracic Surgery, Nancy University Hospital, Nancy, France
3Research Unit EA3430, Tumoral Progression and Micro-Environment, Epidemiological and Translational Approaches,
Strasbourg University, Strasbourg, France
4Department of Thoracic Surgery, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
5Department of Biostatistics, Strasbourg University Hospital, Strasbourg, France
6Department of General and Digestive Surgery, Strasbourg University Hospital, Strasbourg, France
7Department of Molecular Biology, Strasbourg University Hospital, Strasbourg, France
Correspondence to: Stéphane Renaud, email: sterenaud0@gmail.com
Keywords: lung metastasectomy, colorectal cancer, KRAS, surgery, codon
Received: August 25, 2016 Accepted: November 21, 2016 Published: November 29, 2016 Stéphane Renaud1,2,3, Francesco Guerrera1,4, Joseph Seitlinger1, Lorena Costardi4,
Mickaël Schaeffer5, Benoit Romain3,6, Claudio Mossetti4, Anne Claire-Voegeli7, Pier
Luigi Filosso4, Michèle Legrain7, Enrico Ruffini4, Pierre-Emmanuel Falcoz1, Alberto
Oliaro4, Gilbert Massard1
1Department of Thoracic Surgery, Strasbourg University Hospital, Strasbourg, France
2Department of Thoracic Surgery, Nancy University Hospital, Nancy, France
3Research Unit EA3430, Tumoral Progression and Micro-Environment, Epidemiological and Translational Approaches,
Strasbourg University, Strasbourg, France
4Department of Thoracic Surgery, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
5Department of Biostatistics, Strasbourg University Hospital, Strasbourg, France
6Department of General and Digestive Surgery, Strasbourg University Hospital, Strasbourg, France
7Department of Molecular Biology, Strasbourg University Hospital, Strasbourg, France
Correspondence to: Stéphane Renaud, email: sterenaud0@gmail.com
Keywords: lung metastasectomy, colorectal cancer, KRAS, surgery, codon
Received: August 25, 2016 Accepted: November 21, 2016 Published: November 29, 2016 Received: August 25, 2016 Accepted: November 21, 2016 Published: Novemb www.impactjournals.com/oncotarget/ www.impactjournals.com/oncotarget/ KRAS exon 2 codon 13 mutation is associated with a better
prognosis than codon 12 mutation following lung metastasectomy
in colorectal cancer Stéphane Renaud1,2,3, Francesco Guerrera1,4, Joseph Seitlinger1, Lorena Costardi4,
Mickaël Schaeffer5, Benoit Romain3,6, Claudio Mossetti4, Anne Claire-Voegeli7, Pier
Luigi Filosso4, Michèle Legrain7, Enrico Ruffini4, Pierre-Emmanuel Falcoz1, Alberto
Oliaro4, Gilbert Massard1
1Department of Thoracic Surgery, Strasbourg University Hospital, Strasbourg, France
2Department of Thoracic Surgery, Nancy University Hospital, Nancy, France
3Research Unit EA3430, Tumoral Progression and Micro-Environment, Epidemiological and Translational Approaches,
Strasbourg University, Strasbourg, France
4Department of Thoracic Surgery, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
5Department of Biostatistics, Strasbourg University Hospital, Strasbourg, France
6Department of General and Digestive Surgery, Strasbourg University Hospital, Strasbourg, France
7Department of Molecular Biology, Strasbourg University Hospital, Strasbourg, France
Correspondence to: Stéphane Renaud, email: sterenaud0@gmail.com
Keywords: lung metastasectomy, colorectal cancer, KRAS, surgery, codon
Received: August 25, 2016 Accepted: November 21, 2016 Published: November 29, 2016 Survival analyses Ninety-five patients (63%) were reported to be alive,
and 55 patients (37%) were dead during the follow-up
period. Overall, the five-year survival rate was 42%. Survival analysis by KRAS codon mutation showed a
non-significant difference between codon 12 and codon
13 mutations (median OS (mOS): 84 months vs 82 months,
respectively; P = 0.167). However, bevacizumab showed
a survival benefit when used in case of KRAS codon
12 mutations (mOS: Not reached (NR) vs 54 months,
P < 0.001), but not in KRAS codon 13 mutations (mOS: NR
vs 82 months; P = 0.48). Patients were then further analyzed
with the exclusion of patients treated with bevacizumab. Hence, survival analysis in patients not treated with
bevacizumab showed a significant difference between
codon 12 and codon 13 mutations (mOS: 54 months vs
82 months, respectively; P = 0.009 - Figure 1). Otherwise,
because among KRAS codon 12 mutations, G12D and
G12V were the most frequent, other codon 12 mutations
were pooled in the “other codon 12 mutations” group. There
was no significant difference in mOS among KRAS codon
12 mutations (mOS: G12D 55, months (95% CI: 47.8–62)
vs G12V, 55 months (95% CI 38.63–71.38) vs other codon
12 mutations, 53 months (95% CI 36.29–69.71); P = 0.78). p
g
g
[
]
In CRC, two proto-oncogenes have been extensively
studied: V-Ki-ras2 Kirsten rat sarcoma viral oncogene
homolog (KRAS) and V-raf murine sarcoma viral oncogene
homolog B1 (BRAF). The prognostic and predictive values
of mutations of these two genes in metastatic CRC is now
clearly defined, particularly leading to resistance to anti-
Epidermal Growth Factor Receptor (EGFR) therapies
[12]. On the other hand, although a growing number of
publications have focused on evaluating the prognostic
value of KRAS mutations after lung metastasectomy
of CRC, clinical data are still inconsistent [8–11]. Furthermore, clinical studies on lung metastases of CRC
seem to provide only a fleeting glimpse of what the extent
the molecular biology of cancer cells could offer in our
daily practice. Particularly, the tumoral heterogeneity
of KRAS mutations remains intriguing. Indeed, recently
published data have highlighted the existence of two
distinct groups of KRAS cells: KRAS-dependent and KRAS-
independent cells [13]. RESULTS Colorectal cancer (CRC) remains one of the most
diagnosed cancers and one of the leading causes of cancer-
related deaths worldwide [1, 2]. Because the liver and
lungs offer a favorable environment for CRC cells, up to
50% of the patients will experience metastases in these
two locations [3]. Although still the subject of debate, lung
metastasectomy is widely accepted by most surgical teams
because, in selected populations, it leads to longer overall
survival (OS) than conventional 5-fluorouracil (5-FU)-
based chemotherapy regimens [4–6]. According to the selection criteria, 150 patients
with lung metastasis of CRC harboring KRAS mutations
were included in this study. The clinical-pathological
characteristics of these patients are displayed in Table 1. Median follow-up time was 56 months (IQR: 44). Analyses of KRAS codon 12 transversions revealed
12 (8%) G12C, 39 (26%) G12V and 7 (5%) G12A. Analyses of KRAS codon 12 transitions revealed 49 (33%)
G12D and 9 (6%) G12S. For KRAS codon 13, 34 (23%)
cases of G13D transition were observed. Several risk factors for poor outcomes have been
identified to properly select patients who would clearly
benefit from surgery, both in terms of OS and disease-free
survival (DFS). Moreover, recent meta-analyses have helped
to define main clinical prognostic factors [7]; in the past
few years, there has been an increased understanding of the
molecular alterations in cancer cells, with the identification
of oncogenic drivers, suggesting that clinical factors could
be a reflection of only gene mutations. These observations
support the perspective of a molecular classification of
patients, which carries with it the possibility of a better
selection process for good surgical candidates [8–11]. ABSTRACT Introduction: The utilization of molecular markers as routinely used biomarkers is
steadily increasing. We aimed to evaluate the potential different prognostic values of
KRAS exon 2 codons 12 and 13 after lung metastasectomy in colorectal cancer (CRC). Results: KRAS codon 12 mutations were observed in 116 patients (77%), whereas
codon 13 mutations were observed in 34 patients (23%). KRAS codon 13 mutations
were associated with both longer time to pulmonary recurrence (TTPR) (median
TTPR: 78 months (95% CI: 50.61–82.56) vs 56 months (95% CI: 68.71–127.51),
P = 0.008) and improved overall survival (OS) (median OS: 82 months vs 54 months
(95% CI: 48.93–59.07), P = 0.009). Multivariate analysis confirmed that codon
13 mutations were associated with better outcomes (TTPR: HR: 0.40 (95% CI: 0.17–0.93),
P = 0.033); OS: HR: 0.39 (95% CI: 0.14–1.07), P = 0.07). Otherwise, no significant
difference in OS (P = 0.78) or TTPR (P = 0.72) based on the type of amino-acid
substitutions was observed among KRAS codon 12 mutations. Materials and Methods: We retrospectively reviewed data from 525 patients who
underwent a lung metastasectomy for CRC in two departments of thoracic surgery
from 1998 to 2015 and focused on 150 patients that had KRAS exon 2 codon 12/13
mutations. Conclusions: KRAS exon 2 codon 13 mutations, compared to codon 12 mutations,
seem to be associated with better outcomes following lung metastasectomy in CRC. Prospective multicenter studies are necessary to fully understand the prognostic value
of KRAS mutations in the lung metastases of CRC. www.impactjournals.com/oncotarget Oncotarget 2514 Clinicopathological variables and KRAS
mutations Table 1 shows the distribution of clinicopathologic
variables according to KRAS codon mutation. Survival analyses Moreover, it seems that according
to KRAS amino-acid substitution, different downstream
signaling pathways are activated [14], likely leading to
different clinical behaviors such as different degrees of
aggressiveness [15], different sites of metastasis [16] and/
or different sensitivity to chemotherapy [17] and radiation
therapy18. Hence, few studies on metastatic CRC tried to
evaluate the prognostic significance of KRAS codon 12 and
codon 13 mutations, with contradictory results [19–22]. However, to the best of our knowledge, this axis has not
been yet investigated in lung metastases of CRC. Because Food and Drug Administration approval of
FOLFOX and bevacizumab in CRC were both obtained
in 2004, we decided to compare OS between patients who
underwent a lung metastasectomy before and after 2004. The median OS of patients included before 2004 (n = 100)
was not significantly different from those included thereafter
(n = 50) (median OS: 75 months (95% CI: 55.25–92.68) vs
83 months (95% CI: 72.32–102.18), respectively, p = 0.22)
Finally, in univariate analysis, male gender
(P = 0.039), CCI (P < 0.001), WHO performance status
P < 0.025), pT of CRC (P < 0.001), DFS (P = 0.006),
thoracic LNI (P < 0.001) and liver metastasis P < 0.001) Because Food and Drug Administration approval of
FOLFOX and bevacizumab in CRC were both obtained
in 2004, we decided to compare OS between patients who
underwent a lung metastasectomy before and after 2004. The median OS of patients included before 2004 (n = 100)
was not significantly different from those included thereafter
(n = 50) (median OS: 75 months (95% CI: 55.25–92.68) vs
83 months (95% CI: 72.32–102.18), respectively, p = 0.22) We thereby aimed to evaluate the different prognostic
value of KRAS exon 2 codon 12 over codon 13 mutations
in a large surgical cohort of resected lung metastases. www.impactjournals.com/oncotarget Oncotarget 2515 Oncotarget
2516
www.impactjournals.com/oncotarget
Table 1: Demographic data and main covariates according to KRAS mutational status
Total (n = 150)
Codon 12 (n = 116)
Codon 13 (n = 34)
P
No. %
No. Col %
No. Oncotarget Survival analyses CCI: Charlson Comorbidity Index, WHO-PS: World
Health Organization performance status, CRC: colorectal cancer, CEA: carcinoembryonic antigen, DFS: disease free survival,
LNI: lymph node involvement, IQR: inter-quartile range. *number of patients for whom the corresponding data were available. CCI: Charlson Comorbidity Index, WHO-PS: World
Health Organization performance status, CRC: colorectal cancer, CEA: carcinoembryonic antigen, DFS: disease free survival,
LNI: lymph node involvement, IQR: inter-quartile range. showed a significant difference between codon 12 (Median
TTPR (mTTPR): 60 months) and codon 13 mutations
(mTTPR: NR; P = 0.041). However, bevacizumab showed a
benefit on TTPR when used in the case of KRAS codon 12
mutations (mTTPR: 86 (95% CI: 57–115) vs 30 months (95%
CI: 12–48), P < 0.001), but not in KRAS codon 13 mutations
(mTTPR: 31 (95% CI: 15–47) vs 46 months (95% CI: 13–
79.18), P = 0.39). Patients were then further analyzed, with
the exclusion of patients treated with bevacizumab. Likewise,
TTPR analysis in patients not treated with bevacizumab
showed a significant difference between codon 12 (mTTPR:
51 months) and codon 13 mutations (mTTPR: NR;
P = 0.008 - Figure 2). Otherwise, among KRAS codon 12
mutations, even shorter in case of G12V transversion (mTTPR:
21 months, 95% CI: 0–43), there was no significant difference
with G12D transition (50 months, 95% CI: 42–58) and “other
codon 12 mutations” (30 months, 95% CI: 0–68, P = 0.72). were found to have a negative effect on survival. Data are
shown in Table 2.i Patients who had benefited from bevacizumab
were excluded from the multivariate analysis to exclude
the effect of bevacizumab on the OS of KRAS codon
12 patients. Hence, the multivariate-adjusted model
showed that CCI and pT of primary CRC were independent
negative predictors of survival. Finally, there was a
trend toward improved OS in KRAS codon 13 mutations
(HR = 0.386, P = 0.068). Data are displayed in Table 2. Survival analyses Col %
Bevacizumab (Yes)
37
25
27
23
10
29
0.465
Age (Mean; SD)
64
8
64
8
65
9
0.713
Sex (male)
83
55
67
58
16
47
0.328
Median follow-up time (Median, IQR)
56
44
55
43
58
47
0.89
CCI (*n = 149)
0.115
0
41
28
34
29
7
21
1–2
56
38
38
33
18
55
3–4
31
21
25
22
6
18
>= 5
21
14
19
16
2
6
WHO-PS
0.708
0
112
75
85
73
27
79
1
34
23
27
23
7
21
2
3
2
3
3
3
1
1
1
1
Site of primary CRC
0.489
Colon
74
49
59
51
15
44
Rectum
76
51
57
49
19
56
pT CRC (*n = 148)
0.61
I
16
11
12
11
4
12
II
21
14
14
12
7
21
III
88
59
69
61
19
56
IV
23
16
19
17
4
12
pN CRC (*n = 148)
0.007
0
87
59
64
56
23
68
N1
31
21
29
25
2
6
N2
28
19
21
18
7
21
N3
2
1
2
6
CEA (*n = 143)
0.584
0–5 ng/ml
94
66
71
65
23
70
> 5 ng/ml
49
34
39
35
10
30
Chemotherapy
0.062
None
39
26
29
25
10
29
Peri-operative
27
18
16
14
11
32
Post-operative
48
32
41
35
7
21
Pre-operative
36
24
30
26
6
18
Side of metastasis
Bilateral
39
26
30
26
9
26
Unilateral
111
74
86
74
25
74
DFS (> 12 months)
121
81
95
82
26
76
0.481
DFS (24 months)
92
61
73
63
19
56
0.458
Number of lung metastases (> 1)
76
51
57
49
19
56
0.489
Thoracic LNI (N+; n = 148)
48
32
39
34
9
26
0.397 www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 2516 Liver Metastasis
24
16
19
16
5
15
0.815
KRAS mutation subtype
G12A
7
5
7
6
G12C
12
8
12
10
G12D
49
33
49
42
G12S
9
6
9
8
G12V
39
26
39
34
G13D
34
23
34
100
*number of patients for whom the corresponding data were available. CCI: Charlson Comorbidity Index, WHO-PS: World
Health Organization performance status, CRC: colorectal cancer, CEA: carcinoembryonic antigen, DFS: disease free survival,
LNI: lymph node involvement, IQR: inter-quartile range. *number of patients for whom the corresponding data were available. Time to pulmonary recurrence (TTPR) One hundred forty patients (93%) were available for
the TTPR analysis; 68 patients (48%) experienced a lung
recurrence during the follow-up period. Overall, the 5-year
TTPR rate was 45%. TTPR analysis by KRAS codon mutation Figure 1: Kaplan-meier overall survival according to codon 12 or 13 mutations in patients not treated with bevacizumab. Figure 1: Kaplan-meier overall survival according to codon 12 or 13 mutations in patients not treated with bevacizumab. Figure 1: Kaplan-meier overall survival according to codon 12 or 13 mutations in patients not treated with bevacizumab. www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 2517 Table 2: Uni- and multivariate analysis on overall survival (OS) Oncotarget
2518
www.impactjournals.com/oncotarget
Table 2: Uni- and multivariate analysis on overall survival (OS)
UNIVARIATE
(N = 150)
Median survival
(months)
P
[95% Conf. Interval]
MULTIVARIATE
(without bevacizumab;
N = 113)
Hazard
Ratio
P
[95% Conf. Oncotarget Time to pulmonary recurrence (TTPR) Interval]
Mutation subtype
0.167
Codon 12
84
51
116
Codon 13
82
–
–
Bevacizumab
< 0.001
No
56
54
82
Yes
101
84
–
Mutation subtype
without bevacizumab
(n = 113)
0.009
Mutation subtype
Codon 12
54
47
60
Codon 12
1
Codon 13
82
55
–
Codon 13
0.386
0.068
0.14
1.07
Age
0.112
Age
< 60
92
92
–
< 60
1
>= 60
82
55
101
>= 60
1.349
0.453
0.62
2.94
Sex
0.039
Sex
Female
NR
84
–
Female
1
Male
82
55
–
Male
1.195
0.645
0.56
2.55
CCI
< 0.001
CCI
0
101
84
–
0
1
1–2
NR
55
–
1–2
5.063
0.020
1.28
19.96
3–4
54
35
–
3–4
8.995
0.003
2.06
39.22
>= 5
17
17
–
>= 5
23.415
0.001
3.41
160.69
WHO-PS
0.025
WHO-PS
0
92
66
–
0
1
1
82
45
–
1
0.988
0.977
0.43
2.24
2
33
33
–
2
5.602
0.163
0.49
62.89
3
NR
–
–
3
Site of primary CRC
0.819
Colon
NR
55
–
Rectum
84
60
101
pT Colon
< 0.001
pT Colon
T1
NR
52
–
T1
1
T2
82
47
–
T2
4.691
0.075
0.85
25.79
T3
84
60
–
T3
1.857
0.406
0.43
7.99
T4
27
17
32
T4
9.190
0.029
1.25
67.49
pN Colon
0.066
N0
82
55
–
N1
60
33
84
N2
NR
–
–
N3
NR
–
–
CEA
0.092
CEA
0–5 ng/m
82
55
–
0–5 ng/m
0.895
0.779
0.41
1.94
> 5 ng/ml
92
84
–
> 5 ng/ml
1
Chemotherapy
0.629 www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 2518 None
82
55
–
Peri-operative
NR
37
–
Post-operative
92
55
–
Pre-operative
60
37
84
Side of surgery
0.401
Unilateral
82
60
–
Bilateral
101
38
–
Disease free survival
0.004
Disease free survival
< 24 months
101
82
–
< 24 months
1
>= 24 months
56
53
92
>= 24 months
1.561
0.269
0.71
3.44
Number of lung
metastasis
0.457
1
101
60
–
> 1
82
55
92
Thoracic LNI
< 0.001
Thoracic LNI
No
92
82
–
No
1
Yes
50
37
56
Yes
2.075
0.104
0.86
5.01
Liver Metastasis
< 0.001
Liver Metastasis
No
84
82
–
No
1
Yes
47
37
–
Yes
1.509
0.379
0.61
3.77
CCI: Charlson Comorbidity Index, WHO: World Health Organization Performance Status, CRC: colorectal cancer, CEA: carcinoembryonic
antigen, DFS: disease free survival, LNI: lymph node involvement. Charlson Comorbidity Index, WHO: World Health Organization Performance Status, CRC: colorectal cancer, CE
gen, DFS: disease free survival, LNI: lymph node involvement. recurrence and decreased OS after lung metastasectomy
in CRC [26]. These two observations suggest a higher
aggressiveness of codon 12 mutations over codon
13 mutations. Although there have been no published data
on the prognostic value of exon 2 codon mutations after
lung metastasectomy in CRC to date, several authors have
previously attempted to investigate its value in metastatic
CRC. However, few data are available, and the studied
populations have been heterogeneous, including all
stages of CRC. In a collaborative study including 3439
CRC patients, Andreyev et al. [20] found a significant
association between G12V mutation and both failure-
free survival (HR: 1.3, P = 0.004) and OS (HR: 1.29,
P = 0.008). However, the impact of this mutation was
only observed in Duke’s C stage, but not in Duke’s B or
in an advanced stage. In another work, Imamura et al. [21]
confirmed in 1075 CRC patients the association between
G12V mutation and worse OS (HR: 2.00 P = 0.0003),
but without significant impact on prognosis of codon
13 mutations. In contrast, Samowitz et al. [22], in a large
study of 1413 patients, although non-significant, found
a 40% increase in short-term mortality from CRC in
the case of codon 13 mutations. More recently, among
218 metastatic CRC patients, Dadduzio et al. [19] did
not find any prognostic difference between codon 12
and codon 13 mutations. www.impactjournals.com/oncotarget To the best of our knowledge,
our study is the first to focus on the prognostic value
of these 2 codon mutations after lung metastasectomy
in CRC. Consistent with in vitro studies, our work
suggests a higher aggressiveness of codon 12 over codon Finally, in univariate analysis, the primary CRC
site (P = 0.033), pT of CRC (P < 0.001), side of lung
metastasis (P < 0.001), thoracic LNI (P = 0.015) and liver
metastasis (P = 0.002) were found to have a negative
effect on TTPR. Data are shown in Table 3.i Patients who had benefited from bevacizumab were
excluded from the multivariate analysis to exclude the
effect of bevacizumab on the mTTPR of KRAS codon
12 patients. Hence, at multivariate analysis, pT of CRC,
side of lung metastasis and liver metastasis demonstrated
an independent negative effect on TTPR. Moreover, an
independent effect on improved TTPR in KRAS codon
13 mutations was observed (HR 0.40, P = 0.033). Data
are shown in Table 3. DISCUSSION In vitro studies suggest a wide heterogeneity of
KRAS mutations, suggesting different prognostic values
of exon 2 codon 12 and codon 13 mutations. More
specifically, exon 2 codon 12 mutations, in particular,
G12D and G12V mutations, seem to be able to induce
a more robust link with GTP molecules leading to
higher resistance to GTPase activity compared to codon
13 mutations, in particular, G13D [23, 24]. On the
other hand, it seems that KRAS codon 12 mutations, but
not codon 13 mutations, are associated with a strong
upregulation of vascular endothelial growth factor
(VEGF) [24, 25], which is implicated in the promotion
of lymphangiogenesis [26], which seems to be related to www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 2519 Uni- and multivariate analysis on time to pulmonary recurrence (TTPR) Table 3: Uni and multivariate analysis on time to pulmonary recurrence (TTPR)
UNIVARIATE
(N = 140)
Median
TTPR
(months)
P
[95% Conf. Interval]
MULTIVARIATE
(without
bevacizumab;
N= 113)
Hazard
ratio
P
[95% Conf. Interval]
Mutation subtype
0.041
Codon 12
60
51
86
Codon 13
NR
50
–
Bevacizumab
0.049
No
51
50
100
Yes
92
70
98
Mutation
subtype without
bevacizumab
(n = 113)
0.009
Mutation
subtype without
bevacizumab
(n = 113)
Codon 12
51
41
60
Codon 12
1
Codon 13
NR
50
–
Codon 13
0.40
0.033
0.17
0.93
Age
0.891
< 60
86
50
–
>= 60
60
51
98
Sex
0.206
Female
70
51
100
Male
57
51
–
Site of primary
CRC
0.033
Site of primary
CRC
Colon
51
49
70
Colon
1.29
0.440
0.67
2.48
Rectum
86
60
98
Rectum
1
pT Colon
< 0.001
pT Colon
T1
98
51
112
T1
1
T2
NR
20
–
T2
8.14
0.016
1.47
45.11
T3
60
51
86
T3
5.17
0.017
1.34
19.86
T4
15
12
24
T4
24.19
< 0.001
5.11
114.65
pN Colon
0.529
N0
57
50
86
N1
NR
16
–
N2
NR
51
–
N3
NR
–
–
CEA
0.283
0–5 ng/m
60
50
86
> 5 ng/ml
92
51
100
Chemotherapy
0.241
None
100
50
–
Peri-operative
57
40
–
Post-operative
86
51
98
Pre-operative
70
24
– www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 2520 Side of surgery
< 0.001
Side of surgery
Unilateral
112
60
–
Unilateral
1
Bilateral
40
16
57
Bilateral
5.65
< 0.001
2.62
12.21
Disease free
survival
0.489
< 24 months
60
51
98
>= 24 months
70
51
112
Number of
nodules
0.409
1
70
51
98
> 1
60
50
–
Thoracic LNI
0.015
Thoracic LNI
No
86
60
92
No
1
Yes
50
30
98
Yes
1.86
0.101
0.89
3.89
Liver Metastasis
0.002
Liver Metastasis
No
86
57
92
No
1
Yes
44
19
49
Yes
2.52
0.031
1.09
5.84
CCI: Charlson Comorbidity Index, WHO: World Health Organization Performance Status, CRC: colorectal cancer, CEA:
carcinoembryonic antigen, DFS: disease free survival, LNI: lymph node involvement. CCI: Charlson Comorbidity Index, WHO: World Health Organization Performance Status, CRC: colorectal cancer, CEA:
carcinoembryonic antigen, DFS: disease free survival, LNI: lymph node involvement. 13 mutations in terms of both OS and TTPR. Unlike
previous authors [20, 21], we did not find any significant
difference among codon 12 mutations. Indeed, even
if G12V transversions were associated with decreased
TTPR, there was no significant difference with all other types of codon 12 amino-acid substitutions. However,
our population was small, and the absence of differences
may have been related to a lack of power. Furthermore,
the “other codon 12 mutations” group included different
types of amino-acid substitutions; behaviors of each type Figure 2: Kaplan-meier time to pulmonary recurrence according to codon 12 or 13 mutations in patients not treated
with bevacizumab. Figure 2: Kaplan-meier time to pulmonary recurrence according to codon 12 or 13 mutations in patients not treated
with bevacizumab. www.impactjournals.com/oncotarget Oncotarget 2521 of amino-acid substitution could not have been studied
because of the small number of patients in each group. Indeed, in vitro studies have shown that the type of amino-
acid substitution may activate different downstream
signaling [14]. Hence, both KRAS G12C and G12V
exhibited activated Ral signaling and decreased growth
factor-dependent Akt activation, although the G12D
mutation exhibited activated PI3K and MEK signaling. Consequently, it would not be surprising that different
amino-acid substitutions confer different behavior to
cancer cells after lung metastasectomy in CRC with
different prognoses as observed in other cancers. and bevacizumab introduction. Furthermore, the molecular
data were obtained from the primary CRC and not from
the metastatic tumors. MATERIALS AND METHODS As previously published by our team in a single-
institutional study [28, 27], we confirmed in this multi-
center study that bevacizumab may improve both OS and
TTPR in patients with KRAS codon 12 mutations, but not
with codon 13 mutations. This study was approved by the Ethics Committee
of the French Society of Thoracic and Cardiovascular
Surgeons (Approval Number: 2016–8-4–21–0-58-ReSt). We retrospectively reviewed the data from 525 unselected
and consecutive patients with metastatic CRC who
underwent a lung metastasectomy in both the Thoracic
Surgery Department of Strasbourg University Hospital
(France) and Torino University Hospital (Italy) from
January 1998 to December 2015. Patients for whom
mutational status was unknown (i.e., KRAS and BRAF)
(n = 92), who exhibited a BRAF mutation (n = 26), and
who did not harbor KRAS/BRAF mutations (n = 257)
were excluded from this study. All included patients were
considered completely cured of their primary tumor at the
time of the thoracic metastasectomy, and all pulmonary
metastases were metachronous. In cases of extra-thoracic
metastases, only patients with hepatic metastases were
included. All thoracic resections were considered R0. Finally, in our cohort known prognostic factors,
namely thoracic LNI, liver metastases, DFS and pre-
operative CEA did not significantly impact the OS. These observations may be related to our highly selected
population, or on the other hand to the fact that mutational
status is statistically more powerful to impact OS than
other prognostic factors, and that these prognostic
factors, as previously evoked, could be only reflections of
mutational status [8]. However, our study must be interpreted with caution
regarding a few limitations. First, it is a retrospective
cohort study based on a relatively small sample size. Furthermore, 122 patients were from Strasbourg cohort,
probably leading to a center effect. However, to the best
of our knowledge, this is the largest published cohort
on KRAS mutations in lung metastases of CRC, and a
multicentre cohort seemed necessary to obtain enough
statistical power in this highly selected population. Furthermore, our study covers a 17-year period during
which there may have been changes in the management
of patients; the different chemotherapy regimens used
may have also influenced the survival of the study
participants. However, a long study period was required
to obtain enough statistical power. www.impactjournals.com/oncotarget Consequently, there is remaining
doubt regarding the degree of concordance between the
primary and metastatic tumors, although Cejas et al. [29]
reported a concordance rate of 94%. Finally, data on
extra-thoracic recurrence were not available; this would
be interesting to investigate in prospective studies. In conclusion, to the best of our knowledge this is the
first work on the largest published cohort of lung metastases
with KRAS mutations showing that exon 2 codon
13 mutations harbor both better OS and TTPR compared
to codon 12 mutations. This difference is supported by a
molecular explanation because codon 12 mutations exhibit
higher up-regulation of VEGF and more stable bonds
between Ras and GTP. Our study adds more evidence to
support that molecular biology may be helpful in our daily
practice. To date, only a small portion of the large landscape
of KRAS mutations have been explored. Prospective
multicenter studies are necessary to understand the role of
molecular biology in the proper selection of patients for
lung metastasectomy of CRC. In particular, further studies
are necessary to clarify the prognostic and predictive value
of each KRAS amino-acid substitution. It is usually admitted that rectal cancer cells have
a higher tropism to the lung than colon cancer cells. This
might be partially explained by a mechanical theory, in
which cancer cells can metastasize directly to the lung
because of the drainage of the rectum by the rectal veins
directly to the lower vena cava, meanwhile colon cancer
cells must pass through the portal system and the liver,
who plays the role of filter and stop cancer cells, before
they can reach the lung. However, previous series have
shown that CRC cells harboring KRAS mutations have
a higher lung tropism than wild type or cancer cells
harboring BRAF mutations [27]. This lung tropism of
KRAS mutations may explain why we did not observe in
our cohort a higher prevalence of rectal cancer. MATERIALS AND METHODS However, we did not
observe a survival difference before and after FOLFOX Pre-operative
thoracic
evaluation,
lung
metastasectomy procedures, covariates and data collection,
and molecular analysis of KRAS mutations in codons 12
and 13 were performed as previously published [8]. Statistical analysis 8. Renaud S, Romain B, Falcoz PE, Olland A, Santelmo N,
Brigand C, Rohr S, Guenot D, Massard G. KRAS and BRAF
mutations are prognostic biomarkers in patients undergoing
lung metastasectomy of colorectal cancer. Br J Cancer. 2015;
112:720–728. Categorical data are presented as the number
(percentage, %), and continuous data are presented as
the mean with standard deviation (SD). Associations
between Codon 12 and Codon 13 and clinical-
pathological characteristics were assessed with the use
of the Mann–Whitney U test for continuous variables and
the chi-square test and Fisher’s exact test for categorical
variables as appropriate. The prognostic influence of
predictors on OS and TTPR was assessed with a log-
rank test and predictors associated with P ≤ 0.2 on
univariate analysis were included in the multivariate
models. A multivariate Cox proportional hazard model
was employed to estimate the hazard ratios (HR) and
95% CI for the possible independent predictors of OS
and TTR. All the tests were two-sided, and variables were
considered significant for P values < 0.05. Statistical
analyses were performed using Stata 13.1 (StataCorp LP,
College Station, TX, USA). 9. Ghidini M, Personeni N, Bozzarelli S, Baretti M, Basso G,
Bianchi P, Tronconi MC, Pressiani T, Grizzi F, Giordano L,
Malesci A, Alloisio M, Laghi L, et al. KRAS mutation in lung
metastases from colorectal cancer: prognostic implications. Cancer Med. 2016; 5:256–264. 10. Pereira AA, Rego JF, Morris V, Overman MJ, Eng C,
Garrett CR, Boutin AT, Ferrarotto R, Lee M, Jiang ZQ,
Hoff PM, Vauthey JN, Vilar E, et al. Association between
KRAS mutation and lung metastasis in advanced colorectal
cancer. Br J Cancer. 2015; 112:424–428. 11. Schweiger T, Hegedüs B, Nikolowsky C, Hegedüs Z,
Szirtes I, Mair R, Birner P, Döme B, Lang G, Klepetko W,
Ankersmit HJ, Hoetzenecker K. EGFR, BRAF and KRAS
status in patients undergoing pulmonary metastasectomy
from primary colorectal carcinoma: a prospective follow-
up study. Ann Surg Oncol. 2014; 21:946–954. CONFLICTS OF INTEREST 12. De Roock W, Claes B, Bernasconi D, De Schutter J, Biesmans B,
Fountzilas G, Kalogeras KT, Kotoula V, Papamichael D, Laurent-
Puig P, Penault-Llorca F, Rougier P, Vincenzi B, et al. Effects of
KRAS, BRAF, NRAS, and PIK3CA mutations on the efficacy
of cetuximab plus chemotherapy in chemotherapy-refractory
metastatic colorectal cancer: a retrospective consortium analysis. The Lancet Oncology. 2010; 11:753–762. The authors have no conflicts of interests to declare. Covariates and data collection Length of DFS was calculated from the surgery
of the primary CRC to the first diagnosis of a thoracic
or liver metastasis by imaging. OS was calculated from
the first metastasectomy until death or the last follow- www.impactjournals.com/oncotarget Oncotarget 2522 4. Pfannschmidt J, Hoffmann H, Dienemann H. Reported
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and the first diagnosis of thoracic recurrence. Because
patients were referred to our Departments of Thoracic
Surgery by various oncologists from different centers,
no uniform protocol for chemotherapy was performed. However, chemotherapy regimens generally consisted of
fluoropyrimidines (5-fluorouracil (5-FU)), administered
alone or in combination with oxaliplatin (Folfox/XelOx
regimens) and/or irinotecan (Folfiri/Folfoxiri regimens). In some cases, bevacizumab was added at the discretion
of the oncologist. The timing of chemotherapy was defined
as follows: neo-adjuvant chemotherapy administered prior
to thoracic surgery, adjuvant chemotherapy administered
following lung metastasectomy, and POC was performed
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A novel dynamic model for predicting outcome in patients with hepatitis B virus related acute-on-chronic liver failure
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Oncotarget
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ABSTRACT Aim: It is challenging to predict the outcome of patients with hepatitis B virus
related acute-on-chronic liver failure (HBV-ACLF) through existing prognostic models. Our aim was to establish a novel dynamic model to improve the predictive efficiency
of 30-day mortality in HBV-ACLF patients. Methods: 305 patients who were diagnosed as HBV-ACLF (derivation cohort,
n=211; validation cohort, n=94) were included in this study. The HBV-ACLF dynamic
(HBV-ACLFD) model was constructed based on the daily levels of predictive variables
in 7 days after diagnosis combined with baseline risk factors by multivariate logistic
regression analysis. The HBV-ACLFD model was compared with the Child-Turcotte-
Pugh (CTP) score, end-stage liver disease (MELD) score, and MELD within corporation
of serum sodium (MELD-Na) score by the area under the receiver-operating
characteristic curves (AUROC). Results: The HBV-ACLFD model demonstrated excellent discrimination with
AUROC of 0.848 in the derivation cohort and of 0.813 in the validation cohort
(p=0.620). The performance of the HBV-ACLFD model appeared to be superior to
MELD score, MELD-Na score and CTP score (P<0.0001). Conclusion: The HBV-ACLFD model can accurately predict 30-day mortality in
patients with HBV-ACLF, which is helpful to select appropriate clinical procedures, so
as to relieve the social and economic burden. A novel dynamic model for predicting outcome in patients with
hepatitis B virus related acute-on-chronic liver failure Ran Xue1,*, Zhonghui Duan1,*, Haixia Liu1, Li Chen2, Hongwei Yu1, Meixin Ren1,
Yueke Zhu1, Chenggang Jin3, Tao Han4, Zhiliang Gao5 and Qinghua Meng1
1Department of Critical Care Medicine of Liver Disease, Beijing You-An Hospital, Capital Medical University, Beijing, China
2Georgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, GA, USA
3The School of Social Development and Public Policy, Beijing Normal University, Beijing, China
4Department of Hepatology, Tianjin Third Central Hospital of Tianjin Medical University, Tianjin, China
5Department of Infectious Diseases, The Third Affiliated Hospital, Zhongshan University, Guangzhou, China
*These authors have contributed equally to this work
Correspondence to: Qinghua Meng, email: meng_qh@126.com
Keywords: acute-on-chronic liver failure; hepatitis B; prognostic model
Received: October 06, 2017 Accepted: October 27, 2017 Published: November 14, 2017
Copyright: Xue 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. Published: November 14, 2017 Copyright: Xue 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: Xue 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. A novel dynamic model for predicting outcome in patients with
hepatitis B virus related acute-on-chronic liver failure
Ran Xue1,*, Zhonghui Duan1,*, Haixia Liu1, Li Chen2, Hongwei Yu1, Meixin Ren1,
Yueke Zhu1, Chenggang Jin3, Tao Han4, Zhiliang Gao5 and Qinghua Meng1
1Department of Critical Care Medicine of Liver Disease, Beijing You-An Hospital, Capital Medical University, Beijing, China
2Georgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, GA, USA
3The School of Social Development and Public Policy, Beijing Normal University, Beijing, China
4Department of Hepatology, Tianjin Third Central Hospital of Tianjin Medical University, Tianjin, China
5Department of Infectious Diseases, The Third Affiliated Hospital, Zhongshan University, Guangzhou, China
*These authors have contributed equally to this work
Correspondence to: Qinghua Meng, email: meng_qh@126.com
Keywords: acute-on-chronic liver failure; hepatitis B; prognostic model
Received: October 06, 2017 Accepted: October 27, 2017 Published: November 14, 2017
Copyright: Xue 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.
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 65), pp: 108970-108980
Research Paper A novel dynamic model for predicting outcome in patients with
hepatitis B virus related acute-on-chronic liver failure
Ran Xue1,*, Zhonghui Duan1,*, Haixia Liu1, Li Chen2, Hongwei Yu1, Meixin Ren1,
Yueke Zhu1, Chenggang Jin3, Tao Han4, Zhiliang Gao5 and Qinghua Meng1
1Department of Critical Care Medicine of Liver Disease, Beijing You-An Hospital, Capital Medical University, Beijing, China
2Georgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, GA, USA
3The School of Social Development and Public Policy, Beijing Normal University, Beijing, China
4Department of Hepatology, Tianjin Third Central Hospital of Tianjin Medical University, Tianjin, China
5Department of Infectious Diseases, The Third Affiliated Hospital, Zhongshan University, Guangzhou, China
*These authors have contributed equally to this work
Correspondence to: Qinghua Meng, email: meng_qh@126.com
Keywords: acute-on-chronic liver failure; hepatitis B; prognostic model
Received: October 06, 2017 Accepted: October 27, 2017 Published: November 14, 2017
Copyright: Xue 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. www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 65), pp: 108970-108980
Research Paper www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 65), www.impactjournals.com/oncotarget/ INTRODUCTION virus (HBV) is the leading cause of chronic liver disease
in the Asia-Pacific region, including China and India [4]. Liver transplantation (LT) is a feasible and beneficial
treatment for patients with ACLF to achieve survival [5]. It is important to accurately distinguish the ACLF patients
who need LT, and grasp the best opportunity for LT [6]. To
guide and optimize therapeutic strategy for ACLF patients,
an accurate prognostic scoring system is prerequisite [7]. Acute-on-chronic liver failure (ACLF) is a
life-threatening syndrome with varied etiology and
manifestations with a short-term mortality of 50–90%
[1]. ACLF is defined as the acute decompensation of
liver function in patients with either previously diagnosed
or undiagnosed chronic liver disease [2–3]. Hepatitis B www.impactjournals.com/oncotarget Predictors of mortality in the derivation cohort Varied prognostic scoring systems have been
developed to predict ACLF mortality and guide the
decision-making of LT. The Child-Pugh-Turcotte (CPT)
classification and the model of end-stage liver disease
(MELD) score are the most commonly used for patient
priority on the waiting list of LT [8–9]. MELD Serum
sodium (MELD-Na) score, as a modified MELD score,
presented promising value for predicting mortality among
patients on the LT waiting list [10–11]. 30-day mortality was applied as the end-point
in the multivariate logistic regression analysis, and all
variables in univariate analyses were imported into the
model. In this model, TBiL, albumin, HE, INR, blood
neutrophils percentage count, and suspicion of infection
were independent risk factors for death. The β-coefficient,
OR and 95% CI for independent predictors were presented
in Table 2. However, each of the models above cannot apply
reasonably to evaluate the clinical outcome in hepatitis
B virus related acute-on-chronic liver failure (HBV-
ACLF), mainly due to differences in patient background
queues. There exist great differences between Eastern
and Western ACLF in definition and diagnostic criteria,
involving the basis of chronic liver disease, the concept of
organ failure and the diagnostic criteria for organ failure
[12–13]. Furthermore, HBV-ACLF is a dynamic process
in which the variables at the time of hospitalization
are predicted to vary over time, accompanied with the
clinical processes and outcomes change accordingly. The existing prognostic models were established based
on static baseline, which cannot logically evaluate the
predictive outcome [14]. Therefore, it is urgently needed
to derivation and validation of a novel dynamic model for
predicting outcome in patients with HBV-ACLF. www.impactjournals.com/oncotarget Oncotarget 108970 108970 Baseline characteristics of patients 305 patients who were diagnosed as HBV-
ACLF (derivation cohort, n=211; validation cohort,
n=94) were included in this study. The comparisons of
patients’ characteristics in the derivation and validation
cohorts were shown in Table 1. There was no significant
difference in gender distribution, died numbers within
30-day, HE, ascites and laboratory parameters at baseline
between derivation cohort and validation cohort. The pre-
existing chronic liver disease (p<0.001), infection (p<
0.001) and PT (p=0.007) were significantly less in the
validation cohort than those in the derivation cohort. The
age (p=0.016) and suspicion of infection (p=0.005) were
higher in the validation cohort than those in the derivation
cohort. The development of prognostic model The prognostic model derived from the derivation
cohort (Table 2). The initial model was established based
on the independent predictors of admission mortality. The model passed the Hosmer-Lemeshow goodness-of-
fit test (p=0.535); the area under the Receiver-operating
characteristic (AUROC) curve was also used. However,
its discriminative ability was only modest (AUROC
0.745, 95% CI: 0.667 to 0.823). Ultimately, the HBV-
ACLF dynamic (HBV-ACLFD) model was constructed
based on the independent predictors of mortality and the
daily changes within 7 days after diagnosis (Table 3). The
Hosmer-Lemeshow goodness-of-fit test for HBV-ACLFD
model was also performed (p=0.288). The HBV-ACLFD
model was discriminated (AUROC=0.848, 95% CI:
0.793 to 0.902; Figure 1A). The specificity, sensitivity,
negative predictive value and positive predictive value of
the HBV-ACLFD model were 93.63%, 44.44%, 83.05%
and70.59%, respectively. Our aim was to establish a prognostic model
according to early changes of independent predictive
variables at admission in patients with HBV-ACLF; to
identify whether the model was superior to the existing
prognostic models such as CPT scores, MELD scores, and
MELD-Na scores; and ultimately to validate the model
by a cohort of 94 patients with HBV-ACLF from three
different geographical spread medical centers, so as to
confirm the potential value of model for clinical treatment
decision making. The validation of the predicted model The HBV-ACLFD model retained a good
discrimination when applied to a validation cohort
(AUROC=0.813; 95% CI, 0.720 to 0.905; Figure 1B). The
Hosmer-Lemeshow goodness-of-fit test for HBV-ACLFD
model was also performed (p=0.612). The AUROC from
three different medical centers were provided, respectively
(Figure 2). Comparison with alternative predicted models By the 30-day mortality and c-statistic as the
endpoint, we identified four post-admission prognostic
models of AUROC. The overall 30-day mortality was
25.59% (n=54 of 211) (Supplementary Figure 1). On
admission, the AUROC was highest for the HBV-ACLFD
model (0.848), followed by the MELD (0.696; 95% CI,
0.609 to 0.784), MELD-Na (0.686; 95% CI, 0.597 to
0.776), and CTP (0.566; 95% CI, 0.471 to 0.660) scores
(Figure 3). There were significant differences between all
pairs of scores for the dynamic changes (p <0.05). Comparison with alternative predicted models www.impactjournals.com/oncotarget Oncotarget 108971 Table 1: Clinical profiles of patients with HBV-ACLF in the derivation and validation cohorts : Clinical profiles of patients with HBV-ACLF in the derivation and validation cohorts Table 1: Clinical profiles of patients with HBV-ACLF in the derivation and validation cohorts
Parameters
Derivation cohort
(n=211)
Validation cohort
(n=94)
P values
Character
Age (years), mean±SD
43.94±12.63
47.15±10.60
0.016*
Male, n (%)
176 (83.41)
81(86.17)
0.541
Died within 30 days, n (%)
54 (25.59)
33 (35.11)
0.089
HE a
None HE, n (%)
152 (72.04)
61 (64.89)
0.429
I-II HE, n (%)
41 (19.43)
24 (25.53)
III-IV HE, n (%)
18 (8.53)
9 (9.57)
Pre-existing chronic liver
diseaseb
Chronic hepatitis B, n (%)
167(79.15)
49(52.13)
<0.001*
Compensated liver cirrhosis, n (%)
44 (20.85)
45 (47.87)
In-hospital complication
Ascites
None, n (%)
67 (31.75)
26 (27.66)
0.184
Mild, n (%)
78 (36.97)
27 (28.72)
Moderate, n (%)
47 (22.27)
27 (28.72)
Severe, n (%)
19 (9.00)
14 (14.89)
Infection, n (%)
12 (5.68)
28 (29.78)
<0.001*
Suspicion of infection, n(%)c
77 (36.49)
19 (20.21)
0.005*
Laboratory parameters at
baseline
ALT (U/L), median (range)
163.50
(13.70 -2550.00)
197.75
(19.00 -7822.60)
0.227
AST (U/L), median (range)
161.35
(31.50 -5715.00)
188.35
(21.00 -5688.20)
0.118
TBil (μmol/L), median (range)
347.90
(171.93 -966.40)
325.75
(172.50 -780.30)
0.446
INR, median (range)
2.55
(1.08 -5.04)
2.37
(1.32 -9.00)
0.127
Na (mmol/L), median (range)
135.00
(111.00 -145.40)
135.00
(113.50 -143.70)
0.840
Albumin(g/L), mean±SD
31.00±4.73
31.25±4.51
0.667
WBC (×109/L), median (range)
7.01
(1.10 - 29.41)
7.32
(1.11 -35.64)
0.489
Blood neutrophils percentage count,
median (range)
72.90
(26.60 -94.00)
70.90
(46.90 -92.50)
0.438
Hemoglobin (g/L), mean±SD
119.63±23.74
121.04±25.99
0.642
PLT (×109/L), median (range)
87.00
(9.00 -298.00)
96.50
(26.00-297.00)
0.077
PTA, median (range)
29.50
(8.00 -39.50)
32.00
(9.00 -40.00)
0.081
a Mild to moderate hepatic encephalopathy (HE) was defined as grade I or II HE, severe HE was defined as grade III or IV
HE, according to the West Haven classification. b The pre-existing chronic liver disease patients were divided into two groups, counter balanced between liver cirrhosis and
chronic hepatitis B. p
c Suspicion of infection based on at least one of the following: WBC count >10,000/mm3 or ≥50% increase with respect to
baseline with a final value >8,000/mm3; more than 5% of band forms; and/or temperature >37.5°C. * P<0.05. a Mild to moderate hepatic encephalopathy (HE) was defined as grade I or II HE, severe HE was defined as grade III or IV
HE, according to the West Haven classification. a Mild to moderate hepatic encephalopathy (HE) was defined as grade I or II HE, severe HE was defined as grade III or IV
HE, according to the West Haven classification.
b The pre-existing chronic liver disease patients were divided into two groups, counter balanced between liver cirrhosis and
chronic hepatitis B.
c Suspicion of infection based on at least one of the following: WBC count >10,000/mm3 or ≥50% increase with respect to
baseline with a final value >8,000/mm3; more than 5% of band forms; and/or temperature >37.5°C.
* P<0.05. p
c Suspicion of infection based on at least one of the following: WBC count >10,000/mm3 or ≥50% increase with respect to
baseline with a final value >8,000/mm3; more than 5% of band forms; and/or temperature >37.5°C.
* P<0 05 a Mild to moderate hepatic encephalopathy (HE) was defined as grade I or II HE, severe HE was defined as grade III or IV
HE, according to the West Haven classification.
b The pre-existing chronic liver disease patients were divided into two groups, counter balanced between liver cirrhosis and
chronic hepatitis B.
c Suspicion of infection based on at least one of the following: WBC count >10,000/mm3 or ≥50% increase with respect to
b
li
i h
fi
l
l
8 000/
3
h
5% f b
d f
d/
37 5°C www.impactjournals.com/oncotarget Table 3: The HBV-ACLFD model development based on predictors of mortality at baseline and their daily changes
(Δ) within 7 days after diagnosis
Variables
OR
CI1
CI2
β-coefficient
P values
Ln (TBiL, μmol/L)
3.02
0.99
9.22
1.11
0.052
ΔLn (TBiL, μmol/L)
3928.33
1.71
9.02e+06
8.28
0.036*
Ln (Albumin, g/L)
0.93
0.84
1.02
-0.08
0.110
ΔLn (Albumin, g/L)
0.69
0.46
1.02
-0.38
0.063
Ln (INR)
2.25
0.56
9.05
0.81
0.255
ΔLn (INR)
9910.49
23.74
4.14e+06
9.20
0.003*
Ln (Blood neutrophils
percentage count)
1.06
1.02
1.10
0.06
0.001*
ΔLn (Blood neutrophils
percentage count)
1.38
1.13
1.68
0.32
0.002*
HE
I-II
0.97
0.38
2.52
-0.03
0.957
III-IV
3.47
1.00
12.09
1.24
0.051
Suspicion of infection
0.37
0.15
0.87
-1.00
0.022*
Constant
0.00
0.00
0.02
-10.27
0.002*
*p<0.05. Table 3: The HBV-ACLFD model development based on predictors of mortality at baseline and their daily changes
(Δ) within 7 days after diagnosis LFD model development based on predictors of mortality at baseline and their daily changes
diagnosis Table 3: The HBV-ACLFD model development based on predictors of mortality at baseline an
Δ) within 7 days after diagnosis scoring system is a precondition for guiding and
optimizing therapeutic strategy for HBV-ACLF patients. The results of our research showed that the HBV-ACLFD
model exhibited excellent discrimination and almost the
same performance in two cohorts (AUROC 0.848 in the
derivation cohort and 0.813 in the validation cohort). The
performance of the HBV-ACLFD model appeared to be DISCUSSION HBV-ACLF can cause irreversible liver failure,
leading to severe liver function damage. If LT is not
available, it may lead to an at least 70% mortality rate [15]. Therefore, it is urgent to guide and optimize therapeutic
strategy for HBV-ACLF patients. An accurate prognostic www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 108972 Table 2: The initial model was based on independent predictors of mortality at admission. Variables
OR
CI1
CI2
β-coefficient
P values
Ln (TBiL, μmol/L)
3.07
1.23
7.65
1.12
0.016*
Ln (Albumin, g/L)
0.98
0.91
1.06
-0.02
0.667
Ln (INR)
1.55
0.45
5.32
0.44
0.487
Ln (Blood neutrophils
percentage count)
1.04
1.01
1.08
0.04
0.012*
HE
I-II
1.16
0.49
2.75
0.15
0.735
III-IV
5.29
1.73
16.19
1.66
0.004*
Suspicion of infectiona
0.30
0.14
0.68
-1.19
0.004*
Constant
0.00
0.00
0.01
-10.33
<0.001*
a Suspicion of infection based on at least one of the following: WBC count >10,000/mm3 or≥50% increase with respect to
baseline with a final value >8,000/mm3; more than 5% of band forms; and/or temperature >37.5 °C. *P<0.05. Table 2: The initial model was based on independent predictors of mortality at admission. a Suspicion of infection based on at least one of the following: WBC count >10,000/mm3 or≥50% increase with respect to
baseline with a final value >8,000/mm3; more than 5% of band forms; and/or temperature >37.5 °C. *P<0.05. Oncotarget
108973
www.impactjournals.com/oncotarget
DISCUSSION
HBV-ACLF can cause irreversible liver failure,
leading to severe liver function damage. If LT is not
available, it may lead to an at least 70% mortality rate [15]. Therefore, it is urgent to guide and optimize therapeutic
strategy for HBV-ACLF patients. An accurate prognostic
scoring system is a precondition for guiding and
optimizing therapeutic strategy for HBV-ACLF patients. The results of our research showed that the HBV-ACLFD
model exhibited excellent discrimination and almost the
same performance in two cohorts (AUROC 0.848 in the
derivation cohort and 0.813 in the validation cohort). The
performance of the HBV-ACLFD model appeared to be
Table 3: The HBV-ACLFD model development based on predictors of mortality at baseline and their daily changes
(Δ) within 7 days after diagnosis
Variables
OR
CI1
CI2
β-coefficient
P values
Ln (TBiL, μmol/L)
3.02
0.99
9.22
1.11
0.052
ΔLn (TBiL, μmol/L)
3928.33
1.71
9.02e+06
8.28
0.036*
Ln (Albumin, g/L)
0.93
0.84
1.02
-0.08
0.110
ΔLn (Albumin, g/L)
0.69
0.46
1.02
-0.38
0.063
Ln (INR)
2.25
0.56
9.05
0.81
0.255
ΔLn (INR)
9910.49
23.74
4.14e+06
9.20
0.003*
Ln (Blood neutrophils
percentage count)
1.06
1.02
1.10
0.06
0.001*
ΔLn (Blood neutrophils
percentage count)
1.38
1.13
1.68
0.32
0.002*
HE
I-II
0.97
0.38
2.52
-0.03
0.957
III-IV
3.47
1.00
12.09
1.24
0.051
Suspicion of infection
0.37
0.15
0.87
-1.00
0.022*
Constant
0.00
0.00
0.02
-10.27
0.002*
*p<0.05. www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 108973 in Eastern and Western countries [12]. In China,
chronic HBV infection contributes to the ACLF. The
early diagnosis and prompt treatment play a core role
in the liver failure therapeutic strategies. In the western
countries, ACLF is defined on the basis of compensated
or decompensated cirrhosis [3]. Acute liver function
decompensation mainly caused by alcohol abuse and
bacterial infection. The therapeutic strategies of western
countries focus on the multiple organ dysfunction
syndrome (MODS), to distinguish the patients with superior to MELD score, MELD-Na score and CTP score
(P<0.0001). It is indicated that the HBV-ACLFD model
can accurately predict 30-day mortality in patients with
HBV-ACLF, which is helpful to select appropriate clinical
procedures for HBV-ACLF patients, so as to relieve the
social and economic burden. A number of definitions of ACLF have been
put forward, based on advice from experts rather than
evidence-based data. The definitions of heterogeneity
show the differences from the etiology of liver disease O
t
108974
pactjournals com/oncotarget
1: (A) Receiver operating characteristic curves of the HBV-ACLFD model in predicting mortality in the
tion cohort. The HBV-ACLFD model had discrimination (AUROC=0.848; 95% CI: 0.793 to 0.902). (B) Receiver operating
eristic curves of the HBV-ACLFD model in predicting mortality in the validation cohort. The HBV-ACLFD model retained a good
nation when applied to a validation cohort (AUROC=0.813; 95% CI: 0.720 to 0.905). The Hosmer-Lemeshow goodness-of-fit tes
V-ACLFD model has been performed (p=0.612). Figure 1: (A) Receiver operating characteristic curves of the HBV-ACLFD model in predicting mortality in the
derivation cohort. The HBV-ACLFD model had discrimination (AUROC=0.848; 95% CI: 0.793 to 0.902). (B) Receiver operating
characteristic curves of the HBV-ACLFD model in predicting mortality in the validation cohort. The HBV-ACLFD model retained a good
discrimination when applied to a validation cohort (AUROC=0.813; 95% CI: 0.720 to 0.905). The Hosmer-Lemeshow goodness-of-fit test
for HBV-ACLFD model has been performed (p=0.612). www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 108974 high mortality risk who need to be treated in the ICU
or moved to the waiting list of LT [16]. In addition,
there are many differences of pathophysiology, clinical
manifestation and prognosis between HBV related liver
disease and alcoholic liver disease. Actually, in the Asia-
Pacific region, including China and India, ACLF is mainly
induced by the HBV infection. Antiviral therapy is also the
special treatment strategy in the comprehensive treatment
of HBV related ACLF [12]. Therefore, it is necessary to
build up an accurate prognostic scoring system based on
HBV-ACLF patients specifically. derivation cohort and a validation cohort. The data of
patients with HBV-ACLF, including demographics,
clinical, laboratory variables, underlying chronic liver
disease, complications during the hospital course, as
well as in-hospital special treatment, were collected. The
derivation cohort was used to identify predictors of 30-
day mortality and construct the HBV-ACLFD prognostic
model. Δbiomarker within 7 days after diagnosis was
calculated and constructed into the model together with
baseline risk factors based on logistic regression. The
mortality rates in validation cohorts and derivation cohort
with HBV-ACLF at 30-day after diagnosis were 25.59%
and 35.11%, respectively, which are consistent with the
results reported by Xia et al [20]. This study focuses on patients with HBV-ACLF
from China. HBV-ACLF is one of the most lethal, costly,
and pervasive diseases in China. Early predictors are
essentially required to distinguish patients with ACLF who
need orthotropic LT from those that can survive by only
intensive medical care [17]. HBV-ACLF is a dynamic process in which the
variables at the time of hospitalization are predicted to
vary over time, accompanied with the clinical processes
and outcomes change accordingly. Meanwhile, prognosis
predictions fluctuate over different clinical treatment. A study of acute liver failure (ALF) has shown that the
model based on the early change of dynamic variables is
better for the prediction than the model based on static
baseline variables [21]. The high absolute values of AFP
cannot predict the prognosis well, but the uptrend of AFP Currently, it remains difficult to identify appropriate
indicators of poor outcome in HBV-ACLF [18]. The
established prognostic models are mostly based on static
baseline variables. However, patients’ responses to the
treatment could also affect the outcomes [19]. Thus, we
retrospectively reviewed patients diagnosed as HBV-
ACLF. Patients with HBV-ACLF were divided into a Figure 2: The AUROC from the three different medical centers. www.impactjournals.com/oncotarget 1: Beijing You-an Hospital (derivation cohort), 2: the Third
Affiliated Hospital of Sun Yat-Sen University, 3: Tianjin Third Central Hospital, 4: Beijing You-an Hospital (validation cohort). Figure 2: The AUROC from the three different medical centers. 1: Beijing You-an Hospital (derivation cohort), 2: the Third
Affiliated Hospital of Sun Yat-Sen University, 3: Tianjin Third Central Hospital, 4: Beijing You-an Hospital (validation cohort). www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 108975 Figure 3: Comparison of the predictive accuracy for 30-day mortality between MELD, MELD-Na, CTP, and the
dynamic prognostic model. On admission, the AUROC was highest for the HBV-ACLFD model (0.848), followed by the MELD
(0.696; 95% CI, 0.609 to 0.784), MELD-Na (0.686; 95% CI, 0.597 to 0.776), and CTP (0.566; 95% CI, 0.471 to 0.660) scores. There were
significant differences between all pair of scores for the dynamic changes (p <0.05). Figure 3: Comparison of the predictive accuracy for 30-day mortality between MELD, MELD-Na, CTP, and the
dynamic prognostic model. On admission, the AUROC was highest for the HBV-ACLFD model (0.848), followed by the MELD
(0.696; 95% CI, 0.609 to 0.784), MELD-Na (0.686; 95% CI, 0.597 to 0.776), and CTP (0.566; 95% CI, 0.471 to 0.660) scores. There were
significant differences between all pair of scores for the dynamic changes (p <0.05). Figure 3: Comparison of the predictive accuracy for 30-day mortality between MELD, MELD-Na, CTP, and
dynamic prognostic model. On admission, the AUROC was highest for the HBV-ACLFD model (0.848), followed by the M
(0 696 95% CI 0 609 t 0 784) MELD N (0 686 95% CI 0 597 t 0 776)
d CTP (0 566 95% CI 0 471 t 0 660)
Th Figure 3: Comparison of the predictive accuracy for 30-day mortality between MELD, MELD-Na, CTP, and the
dynamic prognostic model. On admission, the AUROC was highest for the HBV-ACLFD model (0.848), followed by the MELD
(0.696; 95% CI, 0.609 to 0.784), MELD-Na (0.686; 95% CI, 0.597 to 0.776), and CTP (0.566; 95% CI, 0.471 to 0.660) scores. There were
significant differences between all pair of scores for the dynamic changes (p <0.05). Figure 3: Comparison of the predictive accuracy for 30-day mortality between MELD, MELD-Na, CTP, and the
dynamic prognostic model. On admission, the AUROC was highest for the HBV-ACLFD model (0.848), followed by the MELD
(0.696; 95% CI, 0.609 to 0.784), MELD-Na (0.686; 95% CI, 0.597 to 0.776), and CTP (0.566; 95% CI, 0.471 to 0.660) scores. There were
significant differences between all pair of scores for the dynamic changes (p <0.05). Figure 4: Study flow: diagram showing the process of study selection and exclusion in of HBV-ACLF patients. flow: diagram showing the process of study selection and exclusion in of HBV-ACLF patients. Figure 4: Study flow: diagram showing the process of study selection and exclusion in of HBV-ACLF patients. www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget Oncotarget 108976 over the first 3 days of hospitalization can reflect the
survival rate of ALF [22]. Another study reported that
ΔMELD is superior to initial MELD and that CTP scores
are reliable in patients with advanced cirrhosis [14]. In
our study, the initial model was constructed based on the
independent predictors of admission mortality. However,
the discriminative ability was just moderate (AUROC =
0.7451). When Δbiomarker was calculated and constructed
into the model together with baseline risk factors, this
model had a great discrimination (AUROC=0.8475). Taken together, it is suggested that continuous changes in
predictive variables can better predict mortality than using
static variables. mildly elevated body temperature [26]. The suspicion of
infection is correlated with a good prognosis [29]. Rapid
initiation of appropriate antibiotic therapy is critical to
the management of patients suspected of being infected. Delayed and inappropriate treatments are correlated with
increased mortality [30]. Moreover, the validation cohort data were collected
from three different medical centers of geographic
location in China, which means our model is validated in
different regions of the population and in different areas
of HBV-ACLF lesions. It also improves the accuracy and
credibility of our HBV-ACLFD model, which is another
principal strength of our model. Because this model is
based on retrospective data on a great number of patients
with HBV-ACLF from three different medical centers, it
also means that homogeneous cohort managed with similar
treatment regimens cannot be secured. It is indicated that
this model has a broad spectrum of practicality. On admission, the AUROC for MELD, MELD-Na,
and CTP scores were 0.6962, 0.6862, 0.5656, respectively,
which is consistent with the results reported [23]. However, the MELD, MELD-Na and CTP scoring systems
are used to predict mortality risk in untreated cirrhotic
patients [24–25]. These models did not consider the
impact of biomarker changes after diagnosis, HBV-ACLF
related complications and in-hospital special treatment on
the prognosis. When HBV-ACLF related complications
and biomarker (Δbiomarker) changes daily within 7
days after diagnosis were established with baseline risk
factors according to logistic regression, the HBV-ACLFD
model (AUROC=0.8475) showed better potential than the
established prognostic models like MELD, MELD-Na and
CTP scores in a cohort of patients with HBV-ACLF for
predicting the 30-day mortality. By the AUROC, these
results support that Δbiomarker and HE can improve its
accuracy in predicting mortality. Thus, the HBV-ACLFD
model showed good discrimination in the derivation
cohort. www.impactjournals.com/oncotarget When applied to the separate validation cohort
of patients with HBV-ACLF, the new model retained
good discrimination, accurately distinguishing the ACLF
patients who need LT, and grasping the best opportunity
for their transplantation. However, novel clinical strategies, including
artificial liver support system and stem cell transplantation,
apply to treat HBV-ACLF now. Our model cannot assess
the effect of these novel clinical strategies for accurately
predict outcome in patients with HBV-ACLF. Meanwhile,
the comparison between the CLIF Consortium ACLF
score (CLIF-C ACLFs) and the HBV-ACLFD model
should be explored, despite the fact that the CLIF-C
ACLFs is helpful to predicting short-term mortality in
ACLF patients in Western countries [31–32], where the
most common etiology of ACLF is alcoholic liver disease. In conclusion, we retrospectively deduced and
validated the dynamic models of predictive outcomes in
patients with HBV-ACLF. This model may be helpful in
clinical decision making and risk stratification for patients
with HBV-ACLF. MATERIALS AND METHODS We also evaluated biochemical and clinical variables
via multivariate logistic regression. HE, suspicion of
infection, baseline and average daily changes of serum
TBiL, INR, serum albumin and blood neutrophils
percentage were independent prognostic factors for 30-day
mortality. Meanwhile, on multivariate analysis, suspicion
of infection is associated with mortality. The hazard ratio
for mortality of patients with HBV-ACLF was 30.37
during the first 30-day. It is recommended that patients
with high risk of complications and cirrhosis are highly
suspected bacterial infection [26]. All procedures and methods related to this research
were accorded morally with current laws as well as the
creeds of the Declaration of Helsinki. The research was
permitted by the Ethical Committee of Beijing You-An
Hospital, Capital Medical University. Procedures The derivation cohort was applied to determine the
predictors of mortality and thus established a prognostic
model. Δbiomarker was calculated and constructed into
the model together with baseline risk factors based on
logistic regression, which is our dynamic prognostic
model for HBV-ACLF, named the HBV-ACLF dynamic
(HBV-ACLFD) model. AUROC were used as a control to
compare the predictive values in the HBV-ACLFD model,
i.e. MELD score, MELD-Na score and CTP score. The results of blood tests performed on the day of
diagnosis and within 7 days after diagnosis were recorded. The blood tests consisted of white blood count (WBC),
platelet count (PLT), hemoglobin level, blood neutrophils
percentage count (NEUT), international normalized ratio
(INR), prothrombin time (PT), creatinine level, aspartate
transaminase (AST) level, aspartate alanine transaminase
(ALT) level, TBil level (total bilirubin), direct bilirubin
(DBil) level, cholinesterase, glucose, total cholesterol
level, albumin level, triglyceride level, serum sodium
level, ammonia level, serum chloride level, serum
potassium level, serum magnesium level and total serum
calcium level. Study design and patients selection A total of 445 patients who were diagnosed as
HBV-ACLF from January 2005 to February 2014 were
included in this research. The minimum follow-up period
for enrolled patients was 30-day after diagnosis. The
diagnosis of cirrhosis was according to a composite of
clinical signs and findings provided through laboratory test
results, radiologic imaging, endoscopy and liver biopsy. The systemic inflammatory response syndrome
(SIRS) occurs in patients with advanced cirrhosis and
is correlated with poor prognosis [27]. The definition
of SIRS and sepsis are very difficult because of the
following findings [28]: elevated baseline heart rate for
hyperdynamic circulatory syndrome; reduced baseline
cell count for hypersplenism; hepatic encephalopathy
leading to excessive ventilation; cirrhotic patients with The entry criteria comprised the following:HBV-
ACLF is defined as ACLF with previously diagnosed or
undiagnosed HBV. All enrolled patients met the criteria for
ACLF from the consensus recommendations of the Asian www.impactjournals.com/oncotarget Oncotarget 108977 Pacific Association for the Study of the Liver (APASL)
[33]. All treatments were performed based on the criteria
of diagnostic and treatment guidelines for ACLF adopted
by the Chinese Medical Association [34]. Differences of biomarker (Δ biomarker) levels
within 7 days after diagnosis were calculated. For
example, a patient with HBV-ACLF with an ALT of
100U/L on the day of admission and 380U/L on day 7
after admission, had ΔALT= (380-100) /7=40. In the case
of variceal hemorrhage or plasma exchange, the results of
blood tests after variceal hemorrhage or plasma exchange
were chosen after more than 2 days. The exclusion criteria were the following: other
factors induce severe liver injury, such as alcohol,
drugs, hepatoviruses other than HBV, autoimmunity and
pregnancy, as well as genetic and metabolic disorders. HBV-ACLF patients with hepatocellular carcinoma,
known decompensated cirrhosis prior to onset of acute
hepatic insult, age less than 18 years, jaundice induced by
hemolytic jaundice and obstructive jaundice, absence of
any chronic liver disease on investigations, and prolonged
prothrombin time induced by blood system diseases were
also excluded. The flowchart for the selection of HBV-
ACLF patients was shown in Figure 4. Calculation of the CTP, MELD and MELD-Na The MELD equation was applied to calculate
the
score
of
severity:
9.57×ln(creatinine,
mg/
dl)+3.78×ln(bilirubin, mg/dl)+11.2×ln(INR)+6.43, in
which the minimal values were forced to 1.0 for calculation
purposes [29]. The MELD-Na equation was constructed
based on the Na and MELD, MELD+1.59×(135–Na),
with minimum and maximum Na values as 120 and 135
mEq/L, respectively [35]. The CTP classification was
assessed according to the standard criteria [36]. Observed parameters Data on patient demographics, clinical and
laboratory variables, evaluation of the underlying chronic
liver disease, complications during the medication course,
in-hospital special treatment (antiviral therapy, plasma
exchange, corticosteroid exposure) were retrospectively
collected. All enrolled patients were followed up for a
minimum of 30-day by clinic visits or telephone. The
outcome (death or survival) of each patient with HBV-
ACLF was documented. Suspicion of infection based on
at least one of the following: WBC count >10,000/mm3
or ≥50% increase with respect to baseline with a final
value >8,000/mm3; more than 5% of band forms; and/or
temperature >37.5°C. Management protocol Patients who were positive for HBV-DNA at
presentation underwent antiviral therapy (lamivudine,
telbivudine, or entecavir) with informed consent. In
order to prevent/treat complications, comprehensive
medical interventions were applied, including absolute
bed rest, intravenous drop infusion of albumin or
plasma, energy supplements, maintenance of acid-base
equilibrium or electrolyte, plasma exchange the use
of adenosylmethionine, glutathione or branched-chain
amino acids to nourish liver cells, as well as antibiotics for
infection. Patients with decompensation requiring organ
support (such as variceal hemorrhage, HE, hepatorenal
syndrome, mechanical ventilationor multiorgan failure)
were admitted to ICU. Derivation cohort data were screened from Beijing
You-an Hospital from January 2005 to January 2013,
while validation cohort data was collected from three
different medical centers from January 2013 to February
2014. Specifically, 30 cases, 24 cases and 40 cases of
HBV-ACLF as validation cohort data were collected
from Beijing You-an Hospital, Tianjin Third Central
Hospital and the Third Affiliated Hospital of Sun Yat-
Sen University, respectively. The derivation cohort was
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improved definition of acute-on-chronic liver failure. Gastroenterology. 2014;147:4-10. CONFLICTS OF INTEREST No potential conflicts (financial, professional, or
personal) is relevant to the manuscript. Statistical analysis All statistical analyses were conducted by STATA
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An Ant Colony Optimization Based Feature Selection for Web Page Classification
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The scientific world journal/TheScientificWorldjournal
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cc-by
| 13,758
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Hindawi Publishing Corporation
e Scientific World Journal
Volume 2014, Article ID 649260, 16 pages
http://dx.doi.org/10.1155/2014/649260 Hindawi Publishing Corporation
e Scientific World Journal
Volume 2014, Article ID 649260, 16 pages
http://dx.doi.org/10.1155/2014/649260 Hindawi Publishing Corporation
e Scientific World Journal
Volume 2014, Article ID 649260, 16 pages
http://dx.doi.org/10.1155/2014/649260 1. Introduction manual classification is time consuming and needs a lot of
human effort, which makes it unscalable with respect to the
high growing speed of the web. Therefore, there has been
great need for automated web page classification systems [4]. A major problem of the web page classification is the
high dimensionality of the feature space. We need to select
“good” subsets of features from the original feature space to
reduce the dimensionality and to improve the efficiency and
run time performance of the classification process [5]. Several
approaches such as document frequency, information gain,
mutual information, chi square analysis, and term strength
have been applied to select proper features for text categoriza-
tion. According to Yang and Pedersen [6] chi square analysis
and information gain are more effective for optimizing classi-
fication results, and document frequency is less effective but it
is scalable and affordable. In Aghdam et al. [7] nature inspired
search and optimization algorithms have been applied for
feature selection of text classification problem. According
to [7], ant colony optimization and genetic algorithms can
choose better features than the information gain and chi
square analysis, and performance of ant colony optimization manual classification is time consuming and needs a lot of
human effort, which makes it unscalable with respect to the
high growing speed of the web. Therefore, there has been
great need for automated web page classification systems [4].i The aim of text classification is to categorize documents into
a certain number of predefined classes by using document
features. Text classification plays a crucial role in many
retrieval and management tasks such as information retrieval,
information extraction, document filtering, and building
hierarchical directories [1]. When text classification focuses
on web pages it is named web classification or web page
classification. However, web pages are different from text,
and they contain a lot of additional information, such as
URLs, links, HTML tags, which are not supported by text
documents. Because of this property of web pages, web
classification is different from traditional text classification
[1].ii A major problem of the web page classification is the
high dimensionality of the feature space. We need to select
“good” subsets of features from the original feature space to
reduce the dimensionality and to improve the efficiency and
run time performance of the classification process [5]. Esra Saraç and Selma AyGe Özel Department of Computer Engineering, C¸ukurova University, Balcali, Sarıc¸am, 01330 Adana, Turkey Correspondence should be addressed to Selma Ays¸e ¨Ozel; saozel@cu.edu.tr Received 25 April 2014; Revised 20 June 2014; Accepted 22 June 2014; Published 17 July 2014 Academic Editor: T. O. Ting Copyright © 2014 E. Sarac¸ and S. A. ¨Ozel. 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. The increased popularity of the web has caused the inclusion of huge amount of information to the web, and as a result of this
explosive information growth, automated web page classification systems are needed to improve search engines’ performance. Web
pages have a large number of features such as HTML/XML tags, URLs, hyperlinks, and text contents that should be considered
during an automated classification process. The aim of this study is to reduce the number of features to be used to improve runtime
and accuracy of the classification of web pages. In this study, we used an ant colony optimization (ACO) algorithm to select the
best features, and then we applied the well-known C4.5, naive Bayes, and k nearest neighbor classifiers to assign class labels to web
pages. We used the WebKB and Conference datasets in our experiments, and we showed that using the ACO for feature selection
improves both accuracy and runtime performance of classification. We also showed that the proposed ACO based algorithm can
select better features with respect to the well-known information gain and chi square feature selection methods. Research Article
An Ant Colony Optimization Based Feature
Selection for Web Page Classification Esra Saraç and Selma AyGe Özel
Department of Computer Engineering, C¸ukurova University, Balcali, Sarıc¸am, 01330 Adana, Turkey
Correspondence should be addressed to Selma Ays¸e ¨Ozel; saozel@cu.edu.tr
Received 25 April 2014; Revised 20 June 2014; Accepted 22 June 2014; Published 17 July 2014 2. Related Work In this section, we give a brief review of web page classifica-
tion, feature selection, and ant colony optimization for feature
selection. 2.1. Web Page Classification. Classification is the process of
assigning predefined class labels to some unseen or test data. For this purpose, a set of labeled data is used to train a
classifier which is then used for labeling unseen data. This
classification process is also defined as a supervised learning
[11]. The process is not different in web page classification
such that there is one or more predefined class labels and a
classification model assigns class labels to web pages which
are in fact hypertext and have many features such as textual
tokens, markup tags, URLs, and host names in URLs that
are meaningful for classifiers. As web pages have additional
properties, their classification has several differences from
traditional text classification [1].ii i
Web page classification has some subfields like subject
classification and functional classification [1]. In subject
classification, classifier is concerned with the content of a web
page and tries to determine the “subject” of the web page. For example, categories of online newspapers like finance,
sport, and technology are instances of subject classification. Functional classification on the other hand deals with the
function or type of the web page. For example, determining
whether a web page is a “personal homepage” or a “course
page” is an instance of a functional classification. Subject and
functional classification are the most popular classification
types [1].ii In this study, a new ACO based feature selection algo-
rithm, which selects best features from web pages, has been
proposed. The contributions of this study are summarized as
follows. (i) In the earlier studies, only the bag of terms approach
is used for feature extraction and ACO is applied
to select features among the small number of terms. However, in our study each term in the URLs and
in the HTML tags is taken as a different feature. Therefore, a feature is represented as <URL><term>,
or <tag><term> pair which we call “tagged terms”
representation that yields thousands of features to be
extracted from web pages. According to our research
in the literature, there exists no ACO based study
which works on such large scale feature space. y
Classification can be divided into binary classification and
multiclass classification according to the number of classes
[1]. 1. Introduction Several
approaches such as document frequency, information gain,
mutual information, chi square analysis, and term strength
have been applied to select proper features for text categoriza-
tion. According to Yang and Pedersen [6] chi square analysis
and information gain are more effective for optimizing classi-
fication results, and document frequency is less effective but it
is scalable and affordable. In Aghdam et al. [7] nature inspired
search and optimization algorithms have been applied for
feature selection of text classification problem. According
to [7], ant colony optimization and genetic algorithms can
choose better features than the information gain and chi
square analysis, and performance of ant colony optimization On the web, classification is used for topic-specific web
link selection, analysis of the topical structure of the web,
development of web directories, and focused crawling [1]. Previously, people manually constructed some web directo-
ries such as Yahoo! [2] and the Open Directory Project [3] and
manually assigned class labels to web documents. However, 2 The Scientific World Journal classification. Section 3 describes our ACO-based feature
selection algorithm. Section 4 includes the datasets used,
the experiments performed, their results, and discussions. Section 5 concludes the study and gives some future work. is better than the genetic algorithm. For this reason, in this
study we applied an ant colony optimization, which was
originally developed to solve optimization problems, to select
the best features from the web pages for accurate and time
efficient classification. fii
Ant colony optimization (ACO) was inspired from the
behavior of real ant colonies, and it is used to solve discrete
optimization problems. The first ACO system was introduced
by Marco Dorigo in his Ph.D. thesis [8] and was called the ant
system (AS). The AS is the result of a research on computa-
tional intelligence approaches to combinatorial optimization
[8]. The AS was initially applied to the travelling salesman
problem [9] and then to other hard problems. The original
AS is motivated by the natural phenomenon that ants deposit
pheromone on the ground in order to mark some favorable
path that should be followed by other members of the colony. The aim of the colony is to find the shortest path between
a food source and the nest. 1. Introduction The behavior of an ant colony
is a good example of a self-organized system such that it is
based on positive feedback (i.e., the deposit of pheromone)
and negative feedback (i.e., the evaporation of pheromone). Theoretically, if the quantity of pheromone remains the same
over time on all edges, no route is chosen. However, because
of feedback, a slight variation on an edge allows the edge to
be chosen. The algorithm moves from an unstable state in
which no edge is stronger than another, to a stable state where
the route is composed of the strongest edges. Ant colony
optimization has a wide application domain; for example, Liu
et al. [10] have used ACO for continuous domains. 2. Related Work In binary classification, there is only one class label. Classifier looks for an instance and assigns it to the specific
class or not. Instances of the specific class are called relevant,
and the others are named nonrelevant. If there is more
than one class, this type of classification is called multiclass
classification [1]. The classifier also assigns an instance to one
of the multiple classes. In our study, we focus on functional
classification of web pages, and we make binary classification
since it is the basis of the focused crawlers [12, 13] or topical
crawlers [14] of the search engines. The techniques developed
in this study can also be used for subject classification and/or
multiclass classification of web pages. (ii) In earlier studies, each ant selects features one by one;
however, in our study each ant selects a set of features
at a time since our feature space is too high, and
selecting features one by one increases running time
of ACO sharply. (iii) In earlier studies, only the effect of using features from
bag of terms approach has been studied. In this study,
the effect of using features only from URLs, from
<title> tags, and tagged terms, as well as bag of terms
approach, is investigated. We also study the effects of
HTML tags on classification performance. (iii) In earlier studies, only the effect of using features from
bag of terms approach has been studied. In this study,
the effect of using features only from URLs, from
<title> tags, and tagged terms, as well as bag of terms
approach, is investigated. We also study the effects of
HTML tags on classification performance. 2.2. Feature Selection for Web Page/Text Classification. Fea-
ture selection is the one of the most important steps in
classification systems. Web pages are generally in HTML
format. This means that web pages are semistructured data, as
they contain HTML tags and hyperlinks in addition to pure
text. Because of this property of web pages, feature selection
in web page classification is different than traditional text 2.2. Feature Selection for Web Page/Text Classification. Fea-
ture selection is the one of the most important steps in
classification systems. Web pages are generally in HTML
format. This means that web pages are semistructured data, as
they contain HTML tags and hyperlinks in addition to pure
text. 2. Related Work They have
studied the UCI dataset with C4.5 classifier and achieved
98.2% average accuracy for classification.i Mutual information (MI) was first introduced by Shan-
non [15] in the context of digital communications between
discrete random variables and was generalized to contin-
uous random variables. Mutual information is considered
as an acceptable measure of relevance between two ran-
dom variables [17]. Mutual information is a probabilistic
method which measures how much information the pres-
ence/absence of a term contributes to making the correct
classification decision on a class [18]. i
Huang [24] has used classification accuracy and feature
weights of the constructed SVM classifier to design the
pheromone update in ACO based feature selection. In this
study the UCI and simulated datasets are used and 94.65%
average accuracy value is obtained. Document frequency (DF) is the number of documents in
which a term occurs in a dataset. It is the simplest criterion for
term selection and easily scales to a large dataset with linear
computational complexity. It is a simple but effective feature
selection method for text categorization [6]. Sivagaminathan and Ramakrishnan [25] have proposed
a hybrid approach which is a combination of the neural
networks and ACO for feature selection. Neural networks
are used for error prediction and classification. In the exper-
iments 3, 5, 8, 10, and 12 ants are used for the medical
diagnosis dataset which contains 21 to 34 features, and 77.50%
average accuracy on breast cancer (Wisconsin prognostic)
and 98.22% average accuracy on thyroid disease datasets are
achieved. Term strength (TS) has been proposed and evaluated by
Wilbur and Sirotkin [16] for vocabulary reduction in text
retrieval. Term strength is also used in text categorization
[19, 20], such that it predicts term importance based on
how commonly a term is likely to appear in “closely-related”
documents. TS uses training set of documents to derive
document pairs whose measured similarity according to the
cosine value of the two document vectors is above a threshold. Then, “term strength” is computed based on the predicted
conditional probability that a term occurs in the second
half of a pair of related documents given that it occurs
in the first half. The above methods namely the IG, the
DF, the MI, and the TS have been compared by Yang and
Pedersen [6] by using the kNN classifier on the Reuters [21]
corpus. 2. Related Work Because of this property of web pages, feature selection
in web page classification is different than traditional text This paper is organized as follows. In Section 2, we give
related work on ACO based feature selection and web page 3 The Scientific World Journal which is a combination of fuzzy rough set and ACO to select
features from the Water Treatment Plant database. Fuzzy
rough set dependency measure is used for features which
are more informative in the currently given selected subset. The number of features is reduced from 38 to 10 with fuzzy
rough sets, and then it is further reduced from 10 to 9.5 with
ACO. Dependency measure is used as the stopping criteria,
and C4.5 is employed for classification. Instead of accuracy
and F-measure values only the training and testing errors
are presented. The error rates in training with no feature
reduction, fuzzy rough set reduction, and ant fuzzy rough
set reduction are 1.5%, 10.8%, and 6.5%, respectively. They
have observed 19.1%, 25.2%, and 22.1% testing errors with no
feature reduction, fuzzy rough set reduction, and ant fuzzy
rough set reduction, respectively. classification. Feature selection is generally used to reduce
dimension of data with tens or hundreds of thousands
of features which would be impossible to process further. A major problem of web page classification is the high
dimensionality of the feature space. The best feature subset
contains the least number of features that most contribute to
classification accuracy and efficiency.i ifi
To improve the performance of web page classification,
several approaches that are imported from feature selection
for text classification have been applied. Information gain
[11], mutual information [15], document frequency [6], and
term strength [16] are the most popular traditional feature
selection techniques. Information gain (IG) measures the
amount of information in bits about the class prediction, if
the only information available is the presence of a feature and
the corresponding class distribution. Concretely, it measures
the expected reduction in entropy [11].i Chen et al. [23] have proposed a rough set approach
for feature selection based on ACO. Mutual information is
used as heuristic information. Feature selection is started
with a feature core rather than a random feature which
causes complete graph to become in a smaller form. Feature
reduction is finished after the core has been found. 2.3. Ant Colony Optimization for General Classification Prob-
lems. Jensen and Shen [22] have proposed a hybrid approach 2. Related Work According to [6], IG is the most effective method
with 98% feature reduction; DF is the simplest method
with the lowest cost in computation and it can be credibly
used instead of IG if computation of this measure is too
expensive. Vieira et al. [26] have proposed two separate ant colonies
combined with fuzzy models for feature selection; one colony
is used for minimizing number of features, and the other one
is employed to minimize classification error. In this study, the
first colony determines the number of features and the second
one selects the features. A fuzzy model is used as a classifier
and 96.4% average accuracy on breast cancer (Wisconsin
prognostic) dataset is observed. Nemati and Basiri [27] have proposed an ACO based
method for a speaker verification system. Gaussian mixture
model universal background model (GMM-UBM) is used as
a classifier over the TIMIT corpora and equal error rate (EER)
of the classification is taken as evaluation criteria. 4.56%,
2.634%, and 3.679% EER values are observed with GMM-
UBM, ACO, and GA methods, respectively. In addition to traditional feature selection methods,
swarm intelligence techniques are also popular to be used for
feature selection. In this study, we review the application of
ACO for feature selection in general classification problems
and web/text classification domains. Kabir et al. [28] have combined ACO with neural net-
works where neural networks are used as classifier. The
proposed study contains both wrapper and filter methods
such that a probabilistic formula for random selection and
determination of subset size is used. Eight well-known cancer
datasets are used in the experiments and 98.91% average
accuracy is achieved. 2.3. Ant Colony Optimization for General Classification Prob-
lems. Jensen and Shen [22] have proposed a hybrid approach 4 The Scientific World Journal the web page classification domain. Holden and Freitas
[36] have been inspired by AntMiner [35] and used the
ant colony paradigm to find a set of rules that classify
the web pages into several categories. They have no prior
assumptions about which words in the web pages to be
classified can be used as potential discriminators. To reduce
data rarity, they use stemming which is a technique in which
different grammatical forms of a root word are considered
as equivalent such that help, helping, and helped are taken
as help. 2. Related Work Holden and Freitas [36] have also gathered sets of
words if they are closely related in the WordNet electronic
thesaurus. They have compared their AntMiner with the
rule inference algorithms C4.5 and CN2. They have found
that AntMiner is comparable in accuracy and forms simpler
rules with respect to C4.5 and CN2. The best result of
AntMiner is 81.0% classification accuracy and this result is
obtained when WordNet generalization is used with Title
features. Akarsu and Karahoca [29] have used ACO for clustering
and feature selection. Ant colony clustering technique is used
to segment breast cancer dataset. To remove irrelevant or
redundant features from the dataset, sequential backward
search technique is applied. Feature selection and clustering
algorithms are incorporated as a wrapper. The results showed
that the accuracy of the FS-ACO clustering approach is better
than the filter approaches. They have compared their study
with the clustering algorithm in Weka with respect to the
sum of squared error value. According to the experimental
evaluation, the sum of squared error is 732 for Weka and 758
for the proposed method. p
p
Al-Ani [30] has proposed an ACO based subset search
procedure for speech classification problem. Local impor-
tance of a given feature is measured by using the mutual
information evaluation function, and only the best k subsets
are used to update the pheromone. First iteration starts with
𝑚features. The second and following steps start with 𝑚−𝑝
features that are selected randomly from the previous k-best
subsets. 𝑝is a numeric value which changes from 1 to 𝑚−1. They have studied TIMIT corpora with ANN classifier. The
average classification accuracy of ACO, GA, and SFS over all
the cases is 84.22%, 83.49%, and 83.19%, respectively. Aghdam et al. [7] have proposed an ACO based fea-
ture selection algorithm for text classification. The features
selected by an ant are evaluated according to the classifier
performance and the feature subset length. In the exper-
iments, it is assumed that classifier performance is more
important than subset length, so that they assign 80% and
20% weights to classifier performance and the subset length,
respectively. To measure classification performance, a simple
k nearest neighbor classifier is used in the experiments. The
performance of the proposed algorithm is compared with
the performance of a genetic algorithm, information gain,
and chi square analysis on the task of feature selection in
Reuters-21578 dataset [21]. 2. Related Work Their experimental evaluation
showed the superiority of the ACO based feature section over
genetic algorithms, information gain, and chi square analysis
methods. They studied only bag of terms feature extraction
method and observed 89.08% microaverage F-measure value
for Reuters-21578 dataset. Wang et al. [31] have developed an ACO based feature
selection, which employs SVM classifier, to find the best
feature subset for the UCI dataset. The experiments are
performed with 5, 10, 15, 20, and 25 ants, and the best feature
subset is found with 15 ants. In the experimental evaluation
94.83% average accuracy for Wine dataset and 79.57% average
accuracy for Image Segment dataset are observed.i Jain and Singh [32] have modified probability function
of ANT with exponential function for feature selection. Two
modified ant algorithms are applied to a number of problems
and the results are compared with those obtained by applying
the original ACO and genetic algorithm, and the same results
but with better execution time are observed. Jensen and Shen [37] have proposed an ACO enhanced
fuzzy rough feature selection for web page classification. Terms extracted from web pages are weighted according to
the 𝑡𝑓∗𝑖𝑑𝑓weighting scheme. In the proposed ACO based
feature selection algorithm, each subset selected by each
ant is evaluated by a fuzzy-rough measure of the selected
subset. The pheromone values are updated according to
this measure and the length of the selected subset. After
selecting the best feature set, the web pages are then classified. The experiments are performed on a small dataset which
contains 280 web pages collected from Arts & Humanities,
Entertainment, Computers & Internet, Health, Business &
Economy categories of Yahoo directory and it is observed
that ACO based feature selection performs the highest degree
of reduction in the feature space with minimal loss of
information. Abd-Alsabour and Randall [33] have proposed a wrapper
based system for feature selection. In the experiments, UCI
dataset and SVM classifier are used. In the proposed feature
selection algorithm, the number of selected features is not
fixed, so the length of each ant’s feature subset may differ. By
using the features selected by ants, 1 and 0.8584 classification
accuracy values are observed for Wine and Vehicle datasets,
respectively. y
Rasmy et al. [34] have proposed a hybrid approach
for feature selection. They have used ACO for selecting
features and ANTMiner for classification. 2.4. Ant Colony Optimization for Text and Web Classification.
AntMiner [35] is the first study that uses the ACO in 2. Related Work (v) We have also investigated which tags are more impor-
tant for web page classification. (v) We have also investigated which tags are more impor-
tant for web page classification. 2. Related Work In their ACO,
ants start choosing a node (i.e., feature) randomly, after that
classifier performance and length of selected feature vectors
are adopted as heuristic information for ACO. In this study,
UCI dataset having 150 to 560 features is used and the number
of features is reduced to 9 and 70 for Diabetes and Analcatdata
classes, respectively. After feature selection, 94.4% and 85%
average classification accuracy is achieved for Sonar and
Diabetes datasets, respectively. Janaki Meena et al. [38] have used ACO for feature
selection and na¨ıve Bayes for classification over the 20
Newsgroup dataset. The ratio between observed frequency
and expected frequency of the term is applied as a heuristic
measure to the features extracted according to the bag
of terms method. Map reduce is used for parallelization. Experiments are performed with 500 ants and 150 iterations. 2.4. Ant Colony Optimization for Text and Web Classification. AntMiner [35] is the first study that uses the ACO in The Scientific World Journal 5 aining
ature
traction
Feature
selection
Classification
The best features
New (test)
Preprocessing
Classification
Results
ACO based feature selection
b pages
web pages
Figure 1: Architecture of the proposed system. For talk.politics.mideast dataset, recall and precision values
are 0.94 and 0.68, respectively. Training
web pages Mangai et al. [39] have studied the WebKB dataset. Fea-
tures are selected with Ward’s minimum variance measure,
information gain, and 𝑡𝑓∗𝑖𝑑𝑓methods. Ward’s minimum
variance measure is first used to identify clusters of redundant
features in a web page. In each cluster, the best represen-
tative features are retained and the others are eliminated. Removing such redundant features helps to minimize the
resource utilization during classification. After clustering
process, features are selected from these clusters, then kNN,
SVM, na¨ıve Bayes, and C4.5 classifiers are used with 10-
fold cross validation for classification. Course web pages
are used as positive instances and student web pages are
used as negative instances. The proposed method of feature
selection is compared with other common feature selection
methods. Experiments showed that the proposed method
performs better than most of the other feature selection
methods in terms of reducing the number of features and the
classifier training time. 95.00% and 95.65% accuracy values
are achieved with kNN and SVM classifiers, respectively.f New (test)
web pages Feature
extraction Results i
Our proposed system is different from the above studies
in the following respects. Figure 1: Architecture of the proposed system. 2. Related Work (i) We use ACO for selecting a predefined number of
features from the large feature space extracted from
the web pages instead of selecting features one by
one. Our feature selection method chooses features
as feature groups. Since using a single feature to
determine the class of a web page is not enough, also,
including features one by one to the selected feature
list of each ant increases run time of ACO because
all the computations for pheromone update must be
repeated for each selection process. However, when
we choose a set of features, we perform the necessary
computations just once for each selected set. features are extracted, after that the best subset of features
is selected by our ACO algorithm and then, by using the
selected best features, new web pages are classified with
Weka [40] data mining software implemented in Java. The
components of our proposed system are explained in detail
in the following subsections. 3.1. Feature Extraction. In the feature extraction phase all
terms from the <title>, <h1>, <h2>, <h3>, <a>, <b>, <i>,
<em>, <strong>, <p>, and <li> tags which denote title,
header at level 1, header at level 2, header at level 3, anchor,
bold, italic, emphasize, strong, paragraph, and list item, and
additionally URL addresses of web pages are used. According
to the experimental results of the earlier studies [41–43],
these tags have useful information and should be used
during feature extraction. To extract features, all the terms
from each of the above mentioned tags and URL addresses
of the relevant pages in the training set are taken. After
term extraction, stopwords are removed and the remaining
terms are stemmed by using the Porter’s stemmer [44]. The
stemmed terms and their corresponding tags form our whole
feature set. The details of the feature extraction step are
presented in Section 4.3. (ii) We adopt ACO pheromone update formula for web
page classification such that our ants are not blind as
in the original ACO’s ants; we feed them with 𝑡𝑓∗𝑖𝑑𝑓
value of each term. So, they have an idea about terms
before selecting features. (iii) We have investigated effects of using features from
URLs, <title> tags, tagged terms, and bag of terms on
the classification performance. (iv) We have used larger datasets with larger feature
spaces. (iv) We have used larger datasets with larger feature
spaces. 3. Ant Colony Optimization for
Feature Selection 3.2. Feature Selection. After the feature extraction step, the
(sub)optimum subset of features is selected with our ACO
based feature selection algorithm. The flowchart of our
proposed ACO algorithm is presented in Figure 2. This section includes our ACO based feature selection and
classification system. The main structure of the proposed
system is shown in Figure 1. Our system consists of feature
extraction, ACO based feature selection, and classification
components. The training dataset is prepared according to
binary class classification problem. From the training dataset, In our proposed method, each feature represents a node,
and all nodes are independent of each other. Nodes (i.e. features) are selected according to their selection probability 6 The Scientific World Journal 6 h
Start
Iteration count = 0
Iteration count ++
Select next feature
Compute document vectors for each web
page and form the arff file
Classify web pages by using Weka
Update pheromone values
Iteration count > N
Return the best feature set
Stop
For each
ant
Yes
Yes
No
No
|Features| < n
Figure 2: Flow chart of the proposed ACO algorithm. Start Iteration count = 0 Select next feature Yes |Features| < n No Compute document vectors for each web
page and form the arff file Classify web pages by using Weka Classify web pages by using Weka Update pheromone values No Iteration count > N Return the best feature set Figure 2: Flow chart of the proposed ACO algorithm. 𝑃𝑘(𝑖) which is given in (1). Initially, all nodes have the same
selection probability: pheromone information respectively. The pheromone values,
and parameters 𝛼and 𝛽are initialized according to [45]
which have shown that 1 is the best value for 𝛼and 𝛽, and 10
is suitable for initial pheromone trail value. After all the ants
have built a complete tour, the pheromone trail is updated
according to the global update rule which is given in (2) as 𝑃𝑘(𝑖) =
[𝜏(𝑖)]𝛼[𝜂(𝑖)]𝛽
∑𝑙∈𝑁𝑘
𝑖[𝜏(𝑙)]𝛼[𝜂(𝑙)]𝛽,
(1) (1) where 𝜂(𝑖) is equal to the document frequency of feature
𝑖which is the number of documents in the training set
that contains feature 𝑖and represents heuristic information
available to the ants. 𝑁𝑘
𝑖is the “feasible” neighborhood
of ant 𝑘, that is, all features as yet unvisited by ant 𝑘. 𝜏(𝑖) is the pheromone trail value of feature 𝑖. 4. Experimental Evaluation and Results This section includes the datasets, namely, the WebKB and
the Conference that were used in this study, the experiments
performed, and their results. The proposed ACO based feature selection algorithm
works as follows. Initially all features have the same selection
probability 𝑃𝑘(𝑖) value. According to 𝑃𝑘(𝑖) value of each
feature 𝑖, an ant 𝑘chooses 𝑛features. A roulette wheel
selection algorithm [46] is used to select each of the 𝑛features. When an ant 𝑘chooses 𝑛features, the web pages in the
training dataset are classified with respect to the selected 𝑛
features by using the C4.5 classifier (i.e., the J48 classifier)
of Weka data mining tool. To classify the web pages in the
training dataset, 𝑡𝑓∗𝑖𝑑𝑓values where 𝑡𝑓is the term frequency
and 𝑖𝑑𝑓is the inverse document frequency of the selected
features for each web page are taken as the feature values.hi The proposed ACO based feature selection algorithm
works as follows. Initially all features have the same selection
probability 𝑃𝑘(𝑖) value. According to 𝑃𝑘(𝑖) value of each
feature 𝑖, an ant 𝑘chooses 𝑛features. A roulette wheel
selection algorithm [46] is used to select each of the 𝑛features. 4.1. WebKB Dataset. The WebKB dataset [49] is a set of web
pages collected by the World Wide Knowledge Base (Web-
>KB) project of the CMU [50] text learning group and has
been downloaded from The 4 Universities Dataset Homepage
[51]. These pages are collected from computer science depart-
ments of various universities in 1997 and manually classified
into seven different classes, namely, student, faculty, staff,
department, course, project, and others. For each class, the
collection contains web pages from four universities which
are Cornell, Texas, Washington, Wisconsin universities, and
other miscellaneous pages collected from other universities.hi When an ant 𝑘chooses 𝑛features, the web pages in the
training dataset are classified with respect to the selected 𝑛
features by using the C4.5 classifier (i.e., the J48 classifier)
of Weka data mining tool. To classify the web pages in the
training dataset, 𝑡𝑓∗𝑖𝑑𝑓values where 𝑡𝑓is the term frequency
and 𝑖𝑑𝑓is the inverse document frequency of the selected
features for each web page are taken as the feature values.hi The J48 classifier is an open source Java implementation
of the C4.5 algorithm in the Weka data mining tool. C4.5 is a
well-known decision tree algorithm, and it is an extension of
Quinlan’s earlier ID3 algorithm [47]. 3. Ant Colony Optimization for
Feature Selection Parameters
𝛼and 𝛽determine the relative influence of heuristic and 𝜏(𝑖) = 𝜌𝜏(𝑖) +
𝑛
∑
𝑘=1
Δ𝜏𝑘(𝑖) ,
(2) (2) where 𝜌denotes pheromone evaporation parameter which
decays the pheromone trail, and 𝑛is the number of ants. According to [45], 𝜌value is selected as 0.2. The specific The Scientific World Journal 7 amount of pheromone, Δ𝜏𝑘(𝑖), that each ant k deposits on the
trail is given by (3) as Table 1: Train/test distribution of WebKB dataset for binary class
classification. Class
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Course
846/2822
86/942
Project
840/2822
26/942
Student
1485/2822
43/942
Faculty
1084/2822
42/942 Δ𝜏𝑘(𝑖) =
{
{
{
{
{
2𝐵𝑘𝐿𝑘
if node 𝑖is used by elithist ant 𝑘
𝐵𝑘𝐿𝑘
if node 𝑖is used by any ant 𝑘
0
otherwise. (3) Δ𝜏𝑘(𝑖) =
{
{
{
{
{
2𝐵𝑘𝐿𝑘
if node 𝑖is used by elithist ant 𝑘
𝐵𝑘𝐿𝑘
if node 𝑖is used by any ant 𝑘
0
otherwise. (3) Δ𝜏𝑘(𝑖) =
{
{
{
{
{
2𝐵𝑘𝐿𝑘
if node 𝑖is used by elithist ant 𝑘
𝐵𝑘𝐿𝑘
if node 𝑖is used by any ant 𝑘
0
otherwise. (3) In (3), 𝐿𝑘is the F-measure value of ant k’s feature subset,
and 𝐵𝑘is the unit pheromone value. This means that the
higher the F-measure of the ant’s selected subset, the more
the pheromone deposited on the features used in the subset,
and these features are more likely to be selected in the next
iteration.h 4. Experimental Evaluation and Results It builds decision trees
from a set of training data using an extension of information
gain known as gain ratio. After making classification by
using the selected features, the classification performance is
measured with respect to F-measure [48] value which is given
in (4) as The 8,282 web pages are manually classified into the seven
categories such that the student category has 1641 pages,
faculty has 1124, staff has 137, department has 182, course has
930, project has 504, and other contains 3764 pages. The class
other is a collection of pages that are not deemed as the “main
page” and are not representing an instance of the previous
six classes. The WebKB dataset includes 867 web pages
from Cornell University, 827 pages from Texas University,
1205 pages from Washington University, 1263 pages from
Wisconsin University, and finally 4120 miscellaneous pages
from other universities. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
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206/386 proposed method was tested under Microsoft Windows 7
operating system. The hardware used in the experiments has
16 GB of RAM and Intel Xenon E5-2643 3.30 GHz processor. Our feature selection method is tested on the Conference
and the WebKB datasets. The proposed ACO based feature
selection method is run for 250 iterations, since after 250
iterations we observed that there is no improvement on the
classification performance. We have determined the number
of ants as 30 experimentally, since we observed that 30 ants
give satisfactory results for our study. pages are labeled as positive documents in the dataset. To
complete the dataset, the short names of the conferences were
queried using the Google search engine [53] manually, and
the irrelevant pages in the result set were taken as negative
documents. The dataset consists of 824 relevant and 1545
irrelevant pages which are approximately 2 times of the
relevant pages. In our ACO based feature selection algorithm, each ant
chooses a predefined number (i.e., 𝑛) of features. However,
in classical ACO based systems, each ant choses features one
by one. The reasons for choosing 𝑛features are that (i) our
classification problem has thousands of features and inclusion
or removal of one single feature does not make a considerable
effect on the classification performance; (ii) choosing features
one by one among the thousands of features increases time
complexity of the ACO. In the experiments the number 𝑛is
taken as 10, 100, and 500. In the Conference dataset, approximately 75% of both
relevant and irrelevant pages are taken as the training set,
and the remaining 25% of the relevant and irrelevant pages
are included into the test set. The number of web pages in
the train and test part of the Conference dataset is given in
Table 2. In our ACO based feature selection system, we need a
classifier to evaluate the fitness of each set of features selected
by each ant. For this purpose, we employed C4.5 classifier
since in our previous study [54] we compared classification
performance of navie Bayes, kNN (i.e., IBk) and C4.5 (i.e.,
J48) algorithms of Weka data mining tool, and we observed
that C4.5 is the best performer for our datasets.t 4.3. Feature Extraction. In the feature extraction phase all
<title>, <h1>, <h2>, <h3>, <a>, <b>, <i>, <em>, <strong>,
<li>, and <p> tags, text content, and URL addresses of
web pages are used. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
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206/386 All the terms from each of the above
mentioned tags and URL addresses of the relevant web pages
in the training set are taken. After term extraction, stopword
removal and Porter’s stemming algorithm [44] are applied. Each stemmed term and its corresponding tag or URL pair
forms a feature. For example, a term “program” in a <title>
tag, in a <li> tag, or in a URL is taken as a different
feature and this feature extraction method is called “tagged
terms” method. Terms from similar HTML tags, for example,
<strong>, <b>, <em>, and <i>, are grouped together to
reduce the feature space.f After determining the best set of features by using our
ACO based feature selection algorithm, we use the selected
features to classify the web pages in the test datasets. We
repeat this process (i.e., ACO based feature selection and then
classification of test datasets) 5 times, and the best, worst, and
average F-measure values of these 5 runs are presented in the
following sections. In this study, features are selected from four different
feature sets for each class. In the first set, features are extracted
only from the URL addresses of web pages. Secondly, only
<title> tags are used for feature extraction. In the third feature
extraction method, all terms that appear in the web pages
regardless of their HTML tag are used as features. In other
words, a term which appears in the document regardless of its
position is taken as a feature. This feature extraction approach
is called “bag-of-terms” method. Finally, all terms that appear
in each of the above listed HTML tags are used as features. In
other words, a term which appears in different HTML tags is
taken as a different feature (i.e., tagged terms).h 4.5. Experiment 1: Selecting Features Only from URLs of Web
Pages. Performance of the proposed method for selecting
features from only URL addresses of web pages is considered
in this experiment. For this purpose, features are extracted
only from the URL addresses of web pages in the training
datasets. For all classes, 𝑛features are selected with our ACO
based feature selection algorithm, and then test (unseen) web
pages are classified with respect to these selected 𝑛features. To classify test web pages, J48 classifier is used. 𝐹-measure = 2 ∗recall ∗precision
recall + precision
.
(4) (4) From the WebKB dataset Project, Faculty, Student, and
Course classes are used in this study. As Staff and Department
classes have small number of positive examples, they are
not considered. Training and test datasets are constructed
as described in the WebKB project website [51]. For each
class, training set includes relevant pages which belong to
randomly chosen three universities and others class of the
dataset. The fourth university’s pages are used in the test
phase. Approximately 75% of the irrelevant pages from others
class are included in the training set and the remaining 25% of
them are included in the test set. The number of web pages in
the train and test part of the WebKB dataset, which is used
in this study, is given in Table 1. For example, the Course
class includes 846 relevant and 2822 irrelevant pages for the
training phase and 86 relevant and 942 irrelevant pages for
the test phase. F-measure is a combination of precision and recall such
that recall is the proportion of web pages which are classified
as class 𝐶𝑖, among all web pages which truly have class 𝐶𝑖,
and precision is the proportion of the web pages which truly
have class 𝐶𝑖among all those which are classified as class
𝐶𝑖. In earlier studies, researchers measured performance with
respect to F-measure value. To comply with the standards
on this issue, F-measure value is chosen as the performance
metric in this study. The above feature selection and F-
measure value computations are repeated for all ants. After
these computations, an ant is chosen as an elitist ant which
has the highest F-measure value. Then, the pheromone values
are updated based on (2) and (3). This process is repeated a
predetermined number of times (i.e., N). Finally, the feature
subset having the best F-measure value is chosen as the
best feature set which can then be used for classifying new
(unseen) web pages. 4.2. Conference Dataset. The Conference dataset consists of
the computer science related conference homepages that were
obtained from the DBLP website [52]. The conference web The Scientific World Journal 8 8 Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
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1
1
1
0.794
Worst
—
1
1
1
0.745
Table 5: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from ⟨title⟩tags for all classes. rst, and average 𝐹-measure values of classification using ACO selected 𝑛features from URLs for all classes. Table 4: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from URLs for all classes. No. of features selected (𝑛)
𝐹-measure
Dataset
Course
Student
Project
Faculty
Conference
10
Best
1
1
1
1
0.782
Avg. 1
0.911
0.993
1
0.664
Worst
1
0.822
0.986
1
0.545
100
Best
1
1
1
1
0.883
Avg. 1
1
1
1
0.745
Worst
1
1
1
1
0.606
500
Best
—
1
1
1
0.842
Avg. —
1
1
1
0.794
Worst
—
1
1
1
0.745
Table 5: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from ⟨title⟩tags for all classes. No. of features selected (𝑛)
𝐹-measure
Dataset
Course
Student
Project
Faculty
Conference
10
Best
0.983
0.92
0.891
0.947
0.736
Avg. 0.966
0.903
0.883
0.901
0.712
Worst
0.948
0.885
0.875
0.854
0.687
100
Best
0.983
0.92
0.883
0.939
0.739
Avg. 0.976
0.916
0.879
0.930
0.713
Worst
0.980
0.911
0.869
0.921
0.687
500
Best
—
0.92
0.883
0.94
0.741
Avg. —
0.915
0.879
0.933
0.678
Worst
—
0.91
0.869
0.922
0.710 Table 5: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from ⟨title⟩tags for all classes. No. of features selected (𝑛)
𝐹-measure
Dataset
Course
Student
Project
Faculty
Conference
10
Best
0.983
0.92
0.891
0.947
0.736
Avg. 0.966
0.903
0.883
0.901
0.712
Worst
0.948
0.885
0.875
0.854
0.687
100
Best
0.983
0.92
0.883
0.939
0.739
Avg. 0.976
0.916
0.879
0.930
0.713
Worst
0.980
0.911
0.869
0.921
0.687
500
Best
—
0.92
0.883
0.94
0.741
Avg. —
0.915
0.879
0.933
0.678
Worst
—
0.91
0.869
0.922
0.710 , and average 𝐹-measure values of classification using ACO selected 𝑛features from ⟨title⟩tags for all classes. the best F-measure value obtained is 0.883. So, we can
say that the Conference dataset has less meaningful URL
addresses with respect to the WebKB dataset. There is no
considerable difference between varying numbers of features
for the WebKB dataset. For the Conference dataset, on the
other hand, reducing the number of features also reduces
the average F-measure values of classification of the test web
pages. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
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206/386 This process is
repeated 5 times and the best, worst, and average classification
performance of these 5 runs in F-measure values for the
selected 𝑛features for all datasets is given in Table 4. As
Course dataset has less than 500 features extracted from
URLs (see Table 3), we only select 100 and 10 features from
URLs for Course class. f
The number of features varies according to the dataset and
the feature extraction method used. Numbers of features for
each class of all datasets with respect to the feature extraction
method used are shown in Table 3. As an example, 33519
features are extracted when tagged terms method are used for
the Course class. When only the <title> tag is considered, the
number of features extracted reduces to 305 for this class. In Table 4, the best F-measure values are written in bold
face for all classes. According to the experimental results
presented in Table 4, we observed that the WebKB dataset
includes meaningful URL addresses so that, for all 𝑛values,
web pages from the Course, Project, Student, and Faculty
classes are classified at 100% accuracy by using the ACO
selected features from the URLs of the web pages. However,
this observation is not true for the Conference dataset, as 4.4. Experimental Setup. In this study, Perl script language
was used for the feature extraction phase, and our ACO
based feature selection algorithm was implemented in Java
programming language under Eclipse environment. The The Scientific World Journal 9 Table 3: Number of features for all classes with respect to feature extraction methods. Class
Feature extraction method
Tagged terms
Bag of terms
⟨title⟩tag
URL
Course
33519
16344
305
479
Project
30856
15307
596
686
Student
49452
22245
1987
1557
Faculty
47376
24641
1502
1208
Conference
34952
18572
890
1115 Table 3: Number of features for all classes with respect to feature extraction methods. Table 4: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from URLs for all classes. No. of features selected (𝑛)
𝐹-measure
Dataset
Course
Student
Project
Faculty
Conference
10
Best
1
1
1
1
0.782
Avg. 1
0.911
0.993
1
0.664
Worst
1
0.822
0.986
1
0.545
100
Best
1
1
1
1
0.883
Avg. 1
1
1
1
0.745
Worst
1
1
1
1
0.606
500
Best
—
1
1
1
0.842
Avg. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
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When the results of these four experiments are compared,
we observed that the WebKB dataset (Course, Project, Stu-
dent, and Faculty classes) is classified with 100% accuracy
(i.e., F measure values are 1.0), and the classification per-
formance of the Conference dataset is also satisfactory (i.e.,
F-measure values are up to 0.952). For the WebKB dataset,
when the number of selected features is small (i.e., 𝑛= 10),
the best feature extraction methods are URL only and tagged
terms method. For the Conference dataset, on the other hand,
the best feature extraction method is bag of terms and then
tagged terms method. This result has occurred because of the
fact that the URLs of the WebKB dataset have class specific
terms; for the Conference dataset on the other hand, URLs
do not have class specific terms. Since tagged terms feature
extraction method is successful in general cases, we use this
feature extraction method in the rest of the experiments. 4.7. Experiment 3: Selecting Features from Bag of Terms
Method. In this experiment, features are selected among
terms which are extracted by using bag of terms method. In
this method, only the terms regardless of their position or
tag are taken as features. Our ACO based feature selection
algorithm runs 5 times for each dataset, and we obtain 5 sets
of best features. Then by using the selected set of features, we
classify the test web pages with J48 classifier. The best, worst,
and average classification performance in F-measure value of
these 5 runs for classifying the test web pages for all datasets
is given in Table 6. In Table 6, the best F-measure values are written in bold
face for all classes. When we compare Tables 4, 5, and
6, we observed that text contents in web pages are more
meaningful for classification than URL addresses and titles
for the Conference dataset. However, in the WebKB dataset,
URL addresses have better features for classification than
page contents and titles of web pages. As in the previous
experiments, F-measure values change with the number of
features and the average classification performance decreases
when the number of features is decreased. 4.9. Experiment 5: Using Other Classifiers for the Test Phase. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
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206/386 the test dataset are classified with respect to these selected 𝑛
features by using J48 classifier. This process is repeated 5 times
and the best, worst, and average classification performance
for these 5 runs in F-measure value for the selected 𝑛features
for all datasets is given in Table 5. As Course dataset has less
than 500 features extracted from <title> tags (see Table 3), we
only select 100 and 10 features from <title> tags for Course
class. In Table 5, the best F-measure values are written in bold
face for all classes. According to the results presented in
Table 5, the F-measure values of the classification of the test
web pages by using the ACO selected 𝑛features are also high
for the WebKB dataset, which implies that the WebKB dataset
includes meaningful title declarations. However, the title
declarations of the Conference dataset are not meaningful as
the WebKB dataset. In this experiment, the reduced number
of features affects average F-measure values negatively for
the Course, Student, and Faculty classes; however, for the 4.6. Experiment 2: Selecting Features Only from <title> Tags. Performance of the proposed method using only <title>
tags of Web pages is considered in this experiment. For
this purpose, features are extracted only from the <title>
tags of web pages in the training datasets. Similar to the
first experiment, each ant selects 𝑛features from the whole
feature set that are obtained from <title> tags, and our ACO
algorithm returns the best 𝑛features. After that web pages in The Scientific World Journal 10 Table 6: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from bag of terms method for all
classes. No. of features selected (𝑛)
𝐹-measure
Dataset
Course
Student
Project
Faculty
Conference
10
Best
0.926
0.896
0.95
0.862
0.933
Avg. 0.880
0.780
0.944
0.836
0.926
Worst
0.834
0.665
0.947
0.811
0.92
100
Best
0.895
0.840
0.934
0.928
0.948
Avg. 0.873
0.821
0.903
0.918
0.940
Worst
0.851
0.802
0.872
0.908
0.932
500
Best
0.960
0.973
0.981
0.921
0.952
Avg. 0.955
0.969
0.964
0.918
0.949
Worst
0.950
0.966
0.947
0.915
0.946 Project and Conference classes the average F-measure values
are improved when the number of features is reduced. Project and Conference classes the average F-measure values
are improved when the number of features is reduced. classification performance is the best for the medium and
high 𝑛values (i.e., 100 and 500). Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
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classes. h
,
,
gi
g
gg
classes. No. of features selected (𝑛)
𝐹-measure
Dataset
Course
Student
Project
Faculty
Conference
10
Best
0.963
0.94
0.954
0.965
0.921
Avg. 0.957
0.938
0.95
0.952
0.904
Worst
0.954
0.937
0.941
0.946
0.877
100
Best
0.902
0.82
0.923
0.928
0.94
Avg. 0.881
0.808
0.887
0.914
0.932
Worst
0.865
0.79
0.845
0.869
0.911
500
Best
0.9
0.35
0.91
0.356
0.936
Avg. 0.87
0.345
0.896
0.355
0.932
Worst
0.885
0.345
0.884
0.354
0.929
Table 8: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from tagged terms for all classes when
IBk classifier is used in the test phase. No. of features selected (𝑛)
𝐹-measure
Dataset
Course
Student
Project
Faculty
Conference
10
Best
0.948
0.929
0.937
0.948
0.906
Avg
0.943
0.914
0.92
0.936
0.888
Worst
0.929
0.909
0.896
0.915
0.842
100
Best
0.95
0.887
0.918
0.965
0.866
Avg
0.94
0.872
0.906
0.951
0.861
Worst
0.932
0.858
0.896
0.941
0.855
500
Best
0.951
0.902
0.918
0.94
0.844
Avg
0.944
0.899
0.911
0.938
0.84
Worst
0.937
0.898
0.908
0.936
0.837 Table 8: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from ta
IBk classifier is used in the test phase. Table 8: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from tagged terms for all classes when
IBk classifier is used in the test phase. No. of features selected (𝑛)
𝐹-measure
Dataset
Course
Student
Project
Faculty
Conference
10
Best
0.948
0.929
0.937
0.948
0.906
Avg
0.943
0.914
0.92
0.936
0.888
Worst
0.929
0.909
0.896
0.915
0.842
100
Best
0.95
0.887
0.918
0.965
0.866
Avg
0.94
0.872
0.906
0.951
0.861
Worst
0.932
0.858
0.896
0.941
0.855
500
Best
0.951
0.902
0.918
0.94
0.844
Avg
0.944
0.899
0.911
0.938
0.84
Worst
0.937
0.898
0.908
0.936
0.837 According to Table 8, as the number of features selected
decreases, average classification performance increases for
the Project, Student, and Conference datasets when IBk
classifier is used in the test phase. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
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best classification performance is obtained when 100 features
are selected.i According to Figures 3, 4, 5, 6, and 7, when the number
of selected features is small (i.e., 10 to 100) the most dis-
criminative features are obtained from h1, title, and anchor
tags. As the number of selected features increases (i.e., 500),
features extracted from anchor tag and body text become
more dominating. According to our experimental results we
observed that using small number of features (10 to 100) is
enough to make a good classification for most of our datasets,
so instead of using all the features extracted from the web
pages, it is enough to use features extracted from URL, h1,
title, and anchor tags. For the na¨ıve Bayes classifier, as the number of selected
features decreases, the classification performance increases as
shown in Table 9. According to Tables 7, 8, and 9 the features
selected by our ACO based feature selection algorithm which
uses J48 classifier give satisfactory classification performance
when these features are used to classify new web pages with
IBk and na¨ıve Bayes classifiers. However, when the results
presented in Tables 7, 8, and 9 are compared, we can say
that using J48 in the test phase yields more satisfactory
classification, since we choose features in ACO according to
the J48 classifier. 4.11. Experiment 7: Effect of ACO Based Feature Selection on
Classification Performance in Terms of Accuracy and Running
Time. In this section, effect of the proposed ACO based
feature selection algorithm on the classification performance
has been investigated. For this purpose, F-measure values and
running time of the classification of the test web pages using
the C4.5 classifier with and without the ACO based feature
selection are compared. The results of this experiment are
presented in Table 10 and Figure 8. In Table 10, F-measure
values of classification of test web pages with ACO based
feature selection and without making any feature selection
(i.e., by using all features) are compared for features extracted
from tagged terms, URLs, and <title> tags. 4.11. Experiment 7: Effect of ACO Based Feature Selection on
Classification Performance in Terms of Accuracy and Running
Time. In this section, effect of the proposed ACO based
feature selection algorithm on the classification performance
has been investigated. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
618/1159
206/386 C4.5 decision tree classifier, which is named J48 in Weka,
is employed in our ACO based feature selection system to
compute the fitness of the selected features and therefore
to update pheromone values and selection probabilities of
features. In the test phase of the previous experiments, we also
applied J48 classifier to classify the test (unseen) web pages. In this experiment, our aim is to show whether our ACO
based selected features give good classification performance
with other well-known classifiers, namely, the kNN and
the na¨ıve Bayes. For this purpose, we employ kNN, which
is named IBk in Weka, and na¨ıve Bayes classifiers in the
test phase. In the ACO-based feature selection phase, we
employed J48 classifier. It is also possible to employ kNN
or na¨ıve Bayes classifiers in the ACO-based feature selection
algorithm; however, according to our previous study [54], J48
has better classification performance with respect to kNN and
na¨ıve Bayes for our datasets and that is why we prefer J48
in the feature selection process. Using kNN or na¨ıve Bayes
in the ACO based feature selection may be considered for
the future work. The best, worst, and average classification
performance in F-measure values of the 5 runs is presented
in Tables 8 and 9. 4.8. Experiment 4: Selecting Features from Tagged Terms
Method. In this experiment, features are selected among
terms which are extracted by using tagged terms method
such that each term in each HTML tag is taken as a different
feature. As URLs have very discriminating terms for the
WebKB dataset, terms from URLs are not taken in this
experiment. Our ACO based feature selection algorithm is
run 5 times and we obtain 5 sets of best features for each
case. Then by using the selected set of features, we classify
the test web pages by using the J48 classifier. The best, worst,
and average classification performance in F-measure value
of these 5 runs for ACO selected 𝑛features is presented in
Table 7. In Table 7, the best F-measure values are written in
bold face. According to Table 7, as 𝑛decreases classification
performance increases for the Course, Student, Project, and
Faculty classes. However, for the Conference dataset, average 11 The Scientific World Journal The Scientific World Journal Table 7: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from tagged terms method for all
classes. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
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206/386 0.858
0.354
0.901
0.762
0.695
Worst
0.829
0.324
0.889
0.602
0.645
500
Best
0.543
0.54
0.502
0.527
0.826
Avg. 0.51
0.539
0.484
0.51
0.821
Worst
0.478
0.53
0.472
0.501
0.816
Table 10: 𝐹-measure values of the C4 5 classifier with and without making any feature selection Table 10: 𝐹-measure values of the C4.5 classifier with and without making any feature selection. Dataset
Feature extraction methods
Tagged terms
Title
URL
ACO selected
features
Without feature
selection
ACO selected
features
Without feature
selection
ACO selected
features
Without feature
selection
Course
0.963
0.909
0.983
0.898
1
1
Faculty
0.965
0.911
0.947
0.920
1
1
Project
0.954
0.355
0.891
0.985
1
1
Student
0.940
0.337
0.920
0.679
1
1
Conference
0.940
0.930
0.741
0.372
0.883
0.972 Table 10: 𝐹-measure values of the C4.5 classifier with and without making any feature selection. Title
h1
Anchor
Bold
Text
li
500 features
100 features
10 features
0
50
100
150
200
250
300
350
Figure 3: Distribution of the ACO selected tags for course class. When we compared the results presented in Table 10, we
can say that classification performance in terms of F-measure
increases when we used features selected by our ACO based
feature selection method from tagged terms. For the features
extracted from title tags, classification performance increases
with our ACO based feature selection method for the Course,
Student, Faculty, and Conference datasets, but F-measure
value decreases for the Project dataset. For the features
extracted from URLs both using all features and making
ACO based feature selection give satisfactory classification
performance. In Figure 8, time required to classify test web pages for
all classes when C4.5 classifier is used are displayed. As it
can be easily seen from the figure, making feature selection
reduces the time required to classify new (unseen) web pages
sharply without making reduction in classification accuracy
(Table 10). Figure 3: Distribution of the ACO selected tags for course class. 4.12. Experiment 8: Comparison of the Proposed Method with
the Well-Known Feature Selection Methods. In this experi-
ment, we compared our ACO based feature selection method
with two well-known feature selection methods that are
information gain and chi square analysis. To accomplish this,
we select 10, 100, and 500 features extracted from tagged
terms method with information gain (IG) and chi square
(Chi) feature selection methods. After that, we classify test
datasets by using the selected features. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
618/1159
206/386 For this purpose, F-measure values and
running time of the classification of the test web pages using
the C4.5 classifier with and without the ACO based feature
selection are compared. The results of this experiment are
presented in Table 10 and Figure 8. In Table 10, F-measure
values of classification of test web pages with ACO based
feature selection and without making any feature selection
(i.e., by using all features) are compared for features extracted
from tagged terms, URLs, and <title> tags. 4.10. Experiment 6: Distribution of Tags in the Selected Feature
Subsets. In this section, we have investigated the distribution
of tags in the ACO selected subset of features from tagged
terms method for each class. Figures 3, 4, 5, 6, and 7 show
tag distributions for the ACO selected features for these five
classes. Since URLs are very dominant features for the WebKB
dataset as it can be seen from Table 4, we did not include
features from URLs in this experiment. The Scientific World Journal 12 Table 9: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from tagged terms for all classes when
na¨ıve Bayes classifier is used in the test phase. Table 9: The best, worst, and average 𝐹-measure values of classification using ACO selected 𝑛features from tagged terms for all classes when
na¨ıve Bayes classifier is used in the test phase. No. of features selected (𝑛)
𝐹-measure
Dataset
Course
Student
Project
Faculty
Conference
10
Best
0.933
0.864
0.917
0.936
0.897
Avg. 0.856
0.863
0.88
0.926
0.855
Worst
0.618
0.859
0.809
0.909
0.838
100
Best
0.868
0.38
0.912
0.875
0.797
Avg. 0.858
0.354
0.901
0.762
0.695
Worst
0.829
0.324
0.889
0.602
0.645
500
Best
0.543
0.54
0.502
0.527
0.826
Avg. 0.51
0.539
0.484
0.51
0.821
Worst
0.478
0.53
0.472
0.501
0.816
Table 10: 𝐹-measure values of the C4.5 classifier with and without making any feature selection. Dataset
Feature extraction methods
Tagged terms
Title
URL
ACO selected
features
Without feature
selection
ACO selected
features
Without feature
selection
ACO selected
features
Without feature
selection
Course
0.963
0.909
0.983
0.898
1
1
Faculty
0.965
0 911
0.947
0 920
1
1 No. of features selected (𝑛)
𝐹-measure
Dataset
Course
Student
Project
Faculty
Conference
10
Best
0.933
0.864
0.917
0.936
0.897
Avg. 0.856
0.863
0.88
0.926
0.855
Worst
0.618
0.859
0.809
0.909
0.838
100
Best
0.868
0.38
0.912
0.875
0.797
Avg. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
618/1159
206/386 The classification
performance in F-measure values of our ACO based method, chi Square, and information gain methods is presented in
Table 11.h The best F-measure values are written in bold face for all
cases in Table 11. According to the results given in Table 11,
our ACO based feature selection algorithm can select better
features with respect to chi square and information gain
especially when the number of selected feature is small (i.e.,
less than 500). As shown in Table 11, when the number of
selected features increases, the classification performance of 13 The Scientific World Journal The Scientific World Journal
13
Table 11: Comparison of the proposed method with well-known feature selection methods. Datasets
No. of selected features
10
100
500
IG
Chi
ACO
IG
Chi
ACO
IG
Chi
ACO
Faculty
0.89
0.93
0.96
0.90
0.91
0.92
0.90
0.90
0.35
Course
0.91
0.88
0.96
0.36
0.36
0.90
0.90
0.91
0.90
Student
0.80
0.79
0.94
0.42
0.42
0.82
0.34
0.34
0.35
Project
0.83
0.90
0.95
0.39
0.39
0.92
0.35
0.35
0.91
Conference
0.93
0.57
0.92
0.94
0.94
0.94
0.93
0.93
0.93
Title
h1
Anchor
Bold
Text
li
500 features
100 features
10 features
0
50
100
150
200
250
300
Figure 4: Distribution of the ACO selected tags for project class. Title
h1
Anchor
Bold
Text
li
500 features
100 features
10 features
0
50
100
150
200
250
300
350
Figure 5: Distribution of the ACO selected tags for faculty class. test data decreases, so it is better to use small number of
features in terms of classification accuracy and running time
(i.e., Figure 8). 4.13. Comparison of the Proposed Method with Earlier Studies. Several ACO based feature selection algorithms have been
Title
h1
Anchor
Bold
Text
li
500 features
100 features
10 features
0
50
100
150
200
250
300
Figure 6: Distribution of the ACO selected tags for student class. Title
h1
Anchor
Bold
Text
li
500 features
100 features
10 features
0
50
100
150
200
250
Figure 7: Distribution of the ACO selected tags for conference class. proposed for the UCI dataset. The authors of [22–26, 28,
29, 31, 33, 34] have reported that their proposed ACO
based algorithms increase the performance of classification. According to our experimental results, we also observed
that ACO based feature selection algorithm improves the 13 Table 11: Comparison of the proposed method with well-known feature selection methods. 5. Conclusion In this study we have developed an ACO-based feature
selection system for the web page classification problem. We have used four kinds of feature extraction methods that
are, namely, URL only, <title> tag only, bag of terms, and
tagged terms. After the feature extraction step, in our ACO
based feature selection algorithm, for each ant we select a
predefined number of features, and then we evaluate the
performance of the selection made by each ant by using
the C4.5 classifier. According to the performance of the
selected features, we update pheromone values and selection
probabilities of the features. This process is repeated until the
best features are selected. After selecting the best features,
classification of the new (unseen) web pages is made by
using the selected feature set. Experimental evaluation shows
that using tagged terms as feature extraction method gives
good classification performance on the average cases with
respect to using bag-of-terms, URL alone, or <title> tag alone
methods. Our ACO based feature selection system is able to
select better features with respect to well-known information
gain and chi square selection methods. The proposed system
is effective in reducing the number of features so that it
is suitable for classification of high dimensional data. By
reducing the feature space, our system also reduces the time
required to classify new web pages sharply without loss of
accuracy in classification. As future work, performance of our
ACO-based feature selection system may be evaluated for the
multiclass case. Figure 8: Comparison of time required to classify test pages. Figure 8: Comparison of time required to classify test pages. classification performance in terms of classification accuracy
and time for the WebKB and Conference datasets in general. In [55], sequential n-grams are used to extract features
from the URLs of web pages. The selected features are
then classified with maximum entropy and support vector
machine separately. The average F-measure value is 0.525
for the multiclass classification of the WebKB dataset. Our
average F-measure value is 1.0 for WebKB dataset when
features are selected from URLs and binary classification is
made. Based on these results, we can say that our ACO based
feature selection with binary class classification has better
classification performance for the WebKB dataset. i
¨Ozel [56] has used tagged terms as features with a
GA based classifier. URL addresses are not used in feature
extraction step. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
618/1159
206/386 Table 11: Comparison of the proposed method with well-known feature selection methods. Title
h1
Anchor
Bold
Text
li
500 features
100 features
10 features
0
50
100
150
200
250
300
Figure 6: Distribution of the ACO selected tags for student class. Title
h1
Anchor
Bold
Text
li
500 features
100 features
10 features
0
50
100
150
200
250
300
Figure 4: Distribution of the ACO selected tags for project class. Figure 4: Distribution of the ACO selected tags for project class. Figure 6: Distribution of the ACO selected tags for student class. Figure 4: Distribution of the ACO selected tags for project class. Title
h1
Anchor
Bold
Text
li
500 features
100 features
10 features
0
50
100
150
200
250
300
350
Figure 5: Distribution of the ACO selected tags for faculty class. Title
h1
Anchor
Bold
Text
li
500 features
100 features
10 features
0
50
100
150
200
250
300
350
Figure 5: Distribution of the ACO selected tags for faculty class. Title
h1
Anchor
Bold
Text
li
500 features
100 features
10 features
0
50
100
150
200
250
Figure 7: Distribution of the ACO selected tags for conference class. Figure 5: Distribution of the ACO selected tags for faculty class. Figure 7: Distribution of the ACO selected tags for conference class. test data decreases, so it is better to use small number of
features in terms of classification accuracy and running time
(i.e., Figure 8). proposed for the UCI dataset. The authors of [22–26, 28,
29, 31, 33, 34] have reported that their proposed ACO
based algorithms increase the performance of classification. According to our experimental results, we also observed
that ACO based feature selection algorithm improves the 4.13. Comparison of the Proposed Method with Earlier Studies. Several ACO based feature selection algorithms have been 14 The Scientific World Journal The Scientific World Journal 500 features
100 features
10 features
Conference
Course
Faculty
Project
Student
All features
0
10
20
30
40
50
60
70
Figure 8: Comparison of time required to classify test pages. Mangai et al. [39] have used Ward’s minimum variance
measure and information gain for feature selection from the
WebKB dataset. 95% accuracy is achieved for Couse dataset
with a kNN classifier. 5. Conclusion Average F-measure values are 0.9 and 0.7 for
the Course and the Student classes of the WebKB dataset. In
our proposed method, on the other hand, average F-measure
value is increased up to 1.0 for the Course and Student
classes. This comparison shows that features from URLs affect
the classification performance positively. In addition to this,
using ACO based feature selection and then applying the C4.5
classifier perform better than a GA based classifier.i Conflict of Interests ii
Jiang [57] has proposed a text classification algorithm that
combines a k-means clustering scheme with a variation of
expectation maximization (EM), and the proposed method
can learn from a very small number of labeled samples and
a large quantity of unlabeled data. Experimental results show
that the average F-measure value is 0.7 for WebKB dataset in
multiclass classification [57]. This result shows that our ACO-
based algorithm with binary classification performs better
since it yields higher F-measure value. The authors declare that there is no conflict of interests
regarding the publication of this paper. Acknowledgments This work was supported by C¸ukurova University Academic
Research Project Unit under Grant no MMF2013D10 and by
The Scientific and Technological Research Council of Turkey
(T ¨UB˙ITAK) scholarship 2211-C. Joachims [58] has used transductive support vector
machines on WebKB dataset with binary class classification
and for feature extraction. Bag-of-terms method is used. According to the experimental results of this study, average
F-measure values are reported as 0.938, 0.537, 0.184, and
0.838 for the Course, Faculty, Project, and Student classes,
respectively. Also, these results show that our proposed
algorithm has better performance with respect to the SVM
algorithm. Table 2: Train/test distribution of the conference dataset.
Train
relevant/nonrelevant
Test
relevant/nonrelevant
Conference
618/1159
206/386 However, when we use our ACO-based
feature selection algorithm and then apply a kNN classifier
to test web pages from the Course dataset, we also obtained
0.951 F-measure value. When we apply C4.5 classifier after
our ACO-based feature selection algorithm, the F-measure
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Transversely Isotropic Creep Characteristics and Damage Mechanism of Layered Phyllite Under Uniaxial Compression Creep Test
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Transversely Isotropic Creep Characteristics and
Damage Mechanism of Layered Phyllite Under
Uniaxial Compression Creep Test Jiabing Zhang
Guangxi University
Xiaohu Zhang
Guangxi University
Zhen Huang ( hzcslg@163.com )
Guangxi University
Helin Fu
Central South University Jiabing Zhang 1, Xiaohu Zhang 2, Zhen Huang 3, and Helin Fu 4 Jiabing Zhang 1, Xiaohu Zhang 2, Zhen Huang 3, and Helin Fu 4 1 Assistant professor, College of Civil Engineering and Architecture, Guangxi University, Nanning 53000
China (E-mail: zhang.j.b@gxu.edu.cn) 2 Postgraduate student, College of Civil Engineering and Architecture, Guangxi University, Nanning 530004,
China (E-mail: zhang_xh2020@163.com) 3 Assistant professor, College of Civil Engineering and Architecture, Guangxi University, Nanning 530004,
China (E-mail: hzcslg@163.com) (Corresponding author) 3 Assistant professor, College of Civil Engineering and Architecture, Guangxi University, Nanning 530004,
China (E-mail: hzcslg@163.com) (Corresponding author) 4 Professor, School of Civil Engineering, Central South University, Changsha 410075, China (E-mail:
fu.h.l@csu.edu.cn) 4 Professor, School of Civil Engineering, Central South University, Changsha 410075, China (E-mail:
fu.h.l@csu.edu.cn) Abstract The layered surrounding rocks of deep tunnels undergo large creep deformation due to the
presence of planes of weakness and the presence of prolonged high in-situ stress, thereby the deformation
severely endangers the safety of tunnels. This study conducts uniaxial compression creep tests to
experimentally investigate the transversely isotropic creep characteristics and the damage mechanism of
layered phyllite samples having bedding angles of 0°, 22.5°, 45°, 67.5°, and 90°. The results indicate that
the creep deformation of the specimens takes place in four stages: the instantaneous elastic deformation
stage, the deceleration creep stage, the steady-state creep stage, and the accelerated creep stage. The
cumulative creep deformation and the creep time during the steady-state creep stage of the specimens
initially decrease and then increase as the bedding angle changes from 0° to 90°, thereby, corresponding to
the initial increase and subsequent decrease in creep rate during the deceleration creep stage. Based on the
existing viscoelastic-plastic damage creep model, the creep parameters E1, E2, η2, and η3 are observed to
initially decrease and then increase with the increase in bedding angle, hence demonstrating that the creep
characteristics and damage mechanism of the layered rock mass are controlled by the effect of the natural
weakness planes and show significant transversely isotropic characteristics. Keywords
Layered phyllite; creep characteristics; damage mechanism; bedding angle; uniaxial
compressive creep test Research Article Posted Date: August 4th, 2021 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. R
d F ll Li Transversely isotropic creep characteristics and damage mechanism o
layered phyllite under uniaxial compression creep test Transversely isotropic creep characteristics and damage mechanism of
layered phyllite under uniaxial compression creep test
Jiabing Zhang 1, Xiaohu Zhang 2, Zhen Huang 3, and Helin Fu 4
1 Assistant professor, College of Civil Engineering and Architecture, Guangxi University, Nanning 530004,
China (E-mail: zhang.j.b@gxu.edu.cn)
2 Postgraduate student, College of Civil Engineering and Architecture, Guangxi University, Nanning 530004,
China (E-mail: zhang_xh2020@163.com)
3 Assistant professor, College of Civil Engineering and Architecture, Guangxi University, Nanning 530004,
China (E-mail: hzcslg@163.com) (Corresponding author)
4 Professor, School of Civil Engineering, Central South University, Changsha 410075, China (E-mail:
fu.h.l@csu.edu.cn) 1. Introduction With the continued advancement of "the Belt and Road" project and the comprehensive launch of the With the continued advancement of "the Belt and Road" project and the comprehensive launch of th With the continued advancement of "the Belt and Road" project and the comprehensive launch of the Sichuan-Tibet railway project in China, the execution of deep rock mass engineering projects has become
increasingly common. The long-term safety of such engineering projects is primarily controlled by the
rock mass creep characteristics, and the influence of rock mass creep characteristics gets more pronounced
in layered rock masses (Chen et al. 2019). The previous studies have shown that the creep characteristics of
layered surrounding rocks of deep tunnels deteriorate significantly due to the presence of natural weakness
planes and of the long-term high in-situ stress, which may lead to large deformations and subsequent
failure of structures (Fu et al. 2018; Chen et al. 2019; Xu et al. 2020) (as shown in Fig. 1). Therefore, it is
essential to examine the transversely isotropic creep characteristics and the damage mechanism of layered
rock masses to enhance the long-term stability and safety of deep rock mass engineering structures. a)
b)
c)
Fig. 1 Large deformation failure characteristics of layered surrounding rock in a tunnel. a) bedding angle of
0°–30°; b) bedding angle of 30°–75°; c) bedding angle of 75°–90°. 拱顶弯曲
折断破坏
仰拱弯曲
折断破坏
边墙顺层
滑移破坏
边墙弯曲
折断破坏
拱顶顺层
滑移破坏
边墙弯曲
折断破坏
拱顶顺层
滑移破坏 Fig. 1 Large deformation failure characteristics of layered surrounding rock in a tunnel. a) bedding angle of
0°–30°; b) bedding angle of 30°–75°; c) bedding angle of 75°–90°. Fig. 1 Large deformation failure characteristics of layered surrounding rock in a tunnel. a) bedding angle of
0°–30°; b) bedding angle of 30°–75°; c) bedding angle of 75°–90°. Considerable efforts have been made to investigate the strength and the deformation characteristics of
layered rock masses using the uniaxial and triaxial compression tests and the shear tests (Tien et al. 2006;
Lee et al. 2015; Hu et al. 2017; Zhang et al. 2019; Shen et al. 2021; Yang et al. 2021). A detailed
understanding of the effect of the orientations of the bedding plane on the mechanical properties of layered
rock masses has been established. For studying the creep characteristics of rock masses, Xie et al. 1. Introduction (2011) conducted a series of hydrostatic and triaxial compression tests on chemically degraded samples and
reported the influence of ionic concentration and pH of aqueous solutions on the creep characteristics of
limestone. Nadimi et al. (2011) studied the rheological characteristics and long-term strength of
surrounding rock containing deeply buried tunnels by triaxial compression creep tests. The results show
that the internal structure of the surrounding rock is constantly adjusted and reorganized due to the
presence of prolonged high in-situ stress, continuously developing the creep deformation of the
surrounding rock and decreasing the bearing capacity. Chen et al. (2017) investigated the effect of
temperature and stress on the creep characteristics of Beishan granite. They found that the peak strength
and peak strain of rock initially increases and then decreases with increasing temperature. Moreover,
Hadiseh et al. (2018); Reza Taheri et al. (2020); Wang et al. (2021), and many others have studied the creep
characteristics of rock masses through multi-step and mono-step creep tests. In addition, the creep damage
mechanism of rock masses has been extensively studied by various researchers, and some creep
constitutive models have been developed (e.g., Zhao et al. 2009; Zhou et al. 2011; Yang et al. 2015; Li et al. 2017; Wu et al. 2020). These studies primarily focused on the creep characteristics and damage mechanism
of isotropic rocks; however, there is still a lack of systematic understanding of transversely isotropic creep
characteristics and the damage mechanism of layered rock masses considering the weakening effect of
macroscopic bedding planes, which needs to be further supplemented and improved. In this paper, a series of uniaxial compression creep tests were conducted on layered phyllite samples
having different bedding angles to obtain the creep curve and the creep rate curve. The effect of the angle
of bedding plane at each creep stage and the damage mechanism of the evolution of creep failure
morphology of the layered phyllites had been discussed in detail. Finally, the variation of rock creep
parameters with the change in bedding angles was determined based on the existing viscoelastic-plastic
damage creep model, which provides a reference for further understanding the transverse isotropic creep
damage mechanism of the layered rock mass. 2.1 Sample preparation In this experiment, few representative phyllite rock blocks were collected from a typical supporting
project site. The layered phyllite samples had a height of 100 mm and a diameter of 50 mm, which is in
strict accordance with the International Society for Rock Mechanics ISMR (ISMR, 2007). It was ensured
that the error in the sample preparation process does not exceed 0.3 mm, and the non-parallelism at both ends remains lower than 0.05 mm. Five sets of a total fifteen drill cores were drilled out from the phyllite
blocks; each set containing three samples having an angle of 0°, 22.5°, 45°, 67.5°, and 90° between the
loading direction and the bedding surface (as shown in Fig. 2). After processing, the samples with higher
integrity were selected for acoustic measurement, and the samples with greater homogeneity were further
screened for testing by measuring the wave speed of the samples. Among the three samples of each
bedding angle, two were selected for the conventional uniaxial compression test and one for the uniaxial
compression creep test. p
p
Fig. 2 Schematic diagram of sample preparation. 50 mm
100 mm
50 mm
100 mm
90°
67.5°
45°
22.5°
0°
50 mm
100 mm
50 mm
100 mm
50 mm
100 mm 67.5°
50 mm
100 mm 90°
50 mm
100 mm 45°
50 mm
100 mm 50 mm
100 mm
50 mm
100 mm
90°
67.5°
22.5°
50 mm
100 mm
50 mm
100 mm
5
100 mm 100 mm 100 mm 100 mm 50 mm 50 mm
100 mm
22.5° 50 mm
100 mm
50 mm
100 mm
22.5°
0° 50 mm
100 mm
0° 100 mm 50 mm Fig. 2 Schematic diagram of sample preparation. 2.2 Experimental procedures The conventional uniaxial compression test and uniaxial compression creep test were performed using
the RMT-301 rock and concrete mechanics testing machine (as shown in Fig. 3). The maximum test force
of the equipment is 1500 kN; the accuracy is 0.5%; the deformation rate range is 0.0001 to 1 mm/s; and
the loading rate range is 0.01–90 kN/s. In the uniaxial compression test, displacement is used to control the
loading, the loading rate is 0.005 mm/s, and the axial deformation of the sample is measured using a linear
variable differential transducer (LVDT). The uniaxial peak strength of a rock sample at a given angle to
bedding σc is the average value of the uniaxial peak strength of the rock sample under the same bedding
angle. The uniaxial compression creep test was conducted using stress-controlled loading at a loading rate
of 0.01 MPa/s. After each load level was added to the predetermined value and was kept stable for 48 hours, ensuring that the displacement rate of the rock sample after 48 hours was less than 0.01 mm/h, the
next loading level was applied in a step-wise fashion until the sample failed (as shown in Fig. 4). A
high-speed camera was used to record the entire deformational process and the failure of rock samples. The
failure strength, failure mode, and fragmentation distribution characteristics for each bedding direction
were analyzed. y
Fig. 3 Equipment used in the uniaxial compression creep tests. Fig. 4 Loading time control schematic diagram for each
uniaxial compression creep test. 48
96
144
192
240
288
0
Axial strain /10-3
Time /h
Time /h
Axial strain /10-3
Rock sample
Linear variable
differential transducer
Control system
Load frame,
upper beam
low-stress levels
Force sensor
high-stress level
Load frame platen Fig. 4 Loading time control schematic diagram for each
uniaxial compression creep test. 48
96
144
192
240
288
0
Axial strain /10-3
Time /h
Time /h
Axial strain /10-3
low-stress levels
high-stress level Fig. 3 Equipment used in the uniaxial compression creep tests. Rock sample
Linear variable
differential transducer
Control system
Load frame,
upper beam
Force sensor
Load frame platen Load frame,
upper beam high-stress level Force sensor Axial strain /10-3 Linear variable
differential transduce low-stress levels Fig. 4 Loading time control schematic diagram for each
uniaxial compression creep test. Fig. 3 Equipment used in the uniaxial compression creep tests. 3.1 Uniaxial compression test results and analysis Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90°
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
0
15
30
45
60
75
90
105
120
135
150
Axial stress, σ (MPa)
Axial strain, ε (10
-3)
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90°
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
0
15
30
45
60
75
90
105
120
135
150
Axial stress, σ (MPa)
Axial strain, ε (10
-3) Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90°
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
0
15
30
45
60
75
90
105
120
135
150
Axial stress, σ (MPa)
Axial strain, ε (10
-3)
A i l
(MP ) b) The second group
5
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90°
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
0
15
30
45
60
75
90
105
120
135
150
Axial stress, σ (MPa)
Axial strain, ε (10
-3) Axial stress, σ (MPa) Axial stress, σ (MPa) ) The first group
Axial strain, ε (10
-3) b) The second group
Axial strain, ε (10
-3) ) The first group
Axial strain, ε (10
-3) b) The second group
,
(
) a) The first group a) The first group b) The second group
Fig. 5 Stress-strain relationship curves of layered phyllite under uniaxial compression. Fig. 6 Relationships between the bedding angle and the uniaxial compressive strength and peak strain of layered phyllite. 3.2 Uniaxial compression creep test results and analysis
0.0
22.5
45.0
67.5
90.0
0
20
40
60
80
100
120
140
160
UCS, σc: Peak strain, εc:
Group one
Group one
Group two
Group two
Average
Average
Bedding orientation, β (°)
Uniaxial compressive strength, σc (MPa)
2.0
2.5
3.0
3.5
4.0
4.5
Peak strain, εc (10
-3) Fig. 5 Stress-strain relationship curves of layered phyllite under uniaxial compression. 3.1 Uniaxial compression test results and analysis Fig. 5 shows the stress-strain relationship curves of two sets of rock samples having different bedding
angles. The stress-strain curves of rock samples having different bedding angles are similar and can be
divided into four stages: the compaction stage, the linear elastic stage, the plastic yielding stage, and the
failure stage. The relationships between the bedding angle and the uniaxial compressive strength and peak
strain of layered phyllite are illustrated in Fig. 6. Notably, the bedding angle has a significant influence on
the uniaxial compressive strength and peak strain of layered phyllite, and the uniaxial compressive strength
and peak strain of layered phyllite initially decrease and then increase as the bedding angle changes from
0° to 90°, forming a U-shaped curve. The change trend is similar to the test results of phyllite from Xu et al. (2018). When the bedding angle is 90°, the uniaxial compressive strength of the rock sample is the largest,
and the average compressive strength is 141.80 MPa. When the bedding angle is 22.5°, the uniaxial
compressive strength of the rock sample is the smallest, and the average compressive strength is 50.28
MPa. It is concluded that the rock samples used in the test have little dispersion, which is helpful for
further exploring the creep characteristics of layered phyllite. a) The first group b) The second group
Fig. 5 Stress-strain relationship curves of layered phyllite under uniaxial compression. Fig. 6 Relationships between the bedding angle and the uniaxial compressive strength and peak strain of layered phyllite. 3.1 Uniaxial compression test results and analysis 3.2 Uniaxial compression creep test results and analysis
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90°
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
0
15
30
45
60
75
90
105
120
135
150
Axial stress, σ (MPa)
Axial strain, ε (10
-3)
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90°
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
0
15
30
45
60
75
90
105
120
135
150
Axial stress, σ (MPa)
Axial strain, ε (10
-3)
0.0
22.5
45.0
67.5
90.0
0
20
40
60
80
100
120
140
160
UCS, σc: Peak strain, εc:
Group one
Group one
Group two
Group two
Average
Average
Bedding orientation, β (°)
Uniaxial compressive strength, σc (MPa)
2.0
2.5
3.0
3.5
4.0
4.5
Peak strain, εc (10
-3) a) The first group b) The second group
Fig. 5 Stress-strain relationship curves of layered phyllite under uniaxial compression. 3.1 Uniaxial compression test results and analysis The following conclusions can be drawn: (1) When the axial stress on the rock sample is at the first four stress levels, the rock sample first
undergoes instantaneous elastic deformation after each level of load is applied and then enters the
deceleration creep stage. The creep rate gradually decreases with increasing time, at which point the slope
of the creep curve becomes approximately 0, and the creep tends to be in the steady-state creep stage. Because the loading stress at this stage is less than the long-term strength of the rock, the particles inside
the rock are not destroyed, but the internal pores and cracks are gradually compressed and they ultimately
close, which leads to an increase in the directional flow resistance inside the rock as well as a gradual
increase in rock creep. (2) When the axial stress on the rock sample is at the fifth stress level, the rock will enter the
steady-state creep stage after a short deceleration creep stage. The creep strain value of the rock in the
steady-state creep stage has a linear relationship with time. Since the loading stress at this stage is close to
the long-term rock strength; as the loading time increases, the rock sample develops shear cracks along the
bedding direction. Cracks within the rock sample continue to develop; however, the failure does not occur. (3) When the axial stress on the rock sample is at the last stress level, the stable creep rate accelerates
and quickly enters the accelerated creep stage. In this stage, the rock creep rate increases rapidly with time,
and the development of non-linear accelerating creep occurs, which finally reaches the ultimate
compressive strain and leads to the failure of rock sample. (3) When the axial stress on the rock sample is at the last stress level, the stable creep rate accelerates
and quickly enters the accelerated creep stage. In this stage, the rock creep rate increases rapidly with time,
and the development of non-linear accelerating creep occurs, which finally reaches the ultimate
compressive strain and leads to the failure of rock sample. (4) When the axial stress on the rock sample is less than the long-term strength of the specimens, the
creep strain of the rock mass is composed of three parts: the instantaneous elastic deformation stage, the
deceleration creep stage, and the steady-state creep stage. 3.1 Uniaxial compression test results and analysis 0.0
22.5
45.0
67.5
90.0
0
20
40
60
80
100
120
140
160
UCS, σc: Peak strain, εc:
Group one
Group one
Group two
Group two
Average
Average
Bedding orientation, β (°)
Uniaxial compressive strength, σc (MPa)
2.0
2.5
3.0
3.5
4.0
4.5
Peak strain, εc (10
-3) Fig. 6 Relationships between the bedding angle and the uniaxial compressive strength and peak strain of layered phyllite. 3.2 Uniaxial compression creep test results and analysis The uniaxial compression creep test was conducted using the graded incremental loading method, and
the axial loading was divided into 6 loading levels from low-stress level to high-stress level according to
the long-term rock strength σs (the long-term rock strength takes 75% of the uniaxial peak strength σc of the
rock sample). It is assumed that the first 5 loading levels are low-stress levels σm (σm<σs), and the last
loading level is a high-stress level σn (σn>σs). For example, the long-term strength of a rock sample with a
bedding angle of 90° is 106.35 MPa. The loading level of the rock sample was divided into 6 levels (86, 91,
96, 101, 106, and 111 MPa), the rock is at a low-stress level when the first 5 loading levels (86, 91, 96, 101,
and 106 MPa) are applied, and the rock is at a high-stress level when the last loading level (111 MPa) is
applied. The uniaxial compression creep test schemes of rock samples having bedding angles of 0°, 22.5°,
45°, 67.5°, and 90° are listed in Table 1. Table 1 Load scheme of uniaxial compression creep test. Table 1 Load scheme of uniaxial compression creep test. Bedding
angle, β (°)
Uniaxial peak
strength, σc (MPa)
Long-term rock
strength, σs (MPa)
Stress levels of various loading levels (MPa)
1
2
3
4
5
6
0
61.49
46.12
25
30
35
40
45
50
22.5
50.28
37.71
20
24
28
32
36
40
45
54.48
40.86
24
28
32
36
40
44
67.5
67.76
50.82
29
34
39
44
49
54
90
141.80
106.35
86
91
96
101
106
111 The strain-time relationship curves of layered phyllite samples under various loading levels are
presented in Fig. 7. The following conclusions can be drawn: The strain-time relationship curves of layered phyllite samples under various loading levels are
presented in Fig. 7. 3.1 Uniaxial compression test results and analysis When the axial stress on the rock sample is
greater than the long-term strength of the specimens, the creep strain of rock mass is composed of the
instantaneous elastic deformation stage, the deceleration creep stage, the steady-state creep stage, and the accelerated creep stage. a) Bedding angle of 0 b) Bedding angle of 22.5
c) Bedding angle of 45 d) Bedding angle of 67.5
e) Bedding angle of 90 f) The last-stage loading
Fig. 7 Creep curves of layered phyllite samples under various loading conditions. 3.1 Uniaxial compression test results and analysis a) the first five-stage loading creep curve
of the rock sample with a bedding angle of 0°; b) the first five-stage loading creep curve of the rock sample with a bedding
angle of 22.5°; c) the first five-stage loading creep curve of the rock sample with a bedding angle of 45°; d) the first
five-stage loading creep curve of the rock sample with a bedding angle of 67.5°; e) the first five-stage loading creep curve of
the rock sample with a bedding angle of 90°; f) the last-stage loading creep curve of rock samples having bedding angles of
0° 22 5° 45° 67 5°
d 90°
0
5
10
15
20
25
30
35
40
45
50
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
Axial compression 25 MPa
Axial compression 30 MPa
Axial compression 35 MPa
Axial compression 40 MPa
Axial compression 45 MPa
Axial strain / 10
-3
Time / h
0
5
10
15
20
25
30
35
40
45
50
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Axial strain / 10
-3
Time / h
Axial compression 20 MPa
Axial compression 24 MPa
Axial compression 28 MPa
Axial compression 32 MPa
Axial compression 36 MPa
0
5
10
15
20
25
30
35
40
45
50
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Axial strain / 10
-3
Time / h
Axial compression 24 MPa
Axial compression 28 MPa
Axial compression 32 MPa
Axial compression 36 MPa
Axial compression 40 MPa
0
5
10
15
20
25
30
35
40
45
50
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
Axial strain / 10
-3
Time / h
Axial compression 29 MPa
Axial compression 34 MPa
Axial compression 39 MPa
Axial compression 44 MPa
Axial compression 49 MPa
Axial compression 86 MPa
Axial compression 91 MPa
Axial compression 96 MPa
Axial compression 101 MPa
Axial compression 106 MPa
0
5
10
15
20
25
30
35
40
45
50
2.5
3.0
3.5
4.0
4.5
5.0
5.5
6.0
Axial strain / 10
-3
Time / h
0
1
2
3
4
5
6
7
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
7.0
7.5
8.0
Axial strain / 10
-3
Time / h
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90° 0
0
5
10
15
20
25
30
35
40
45
50
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Axial strain / 10
-3
Time / h
Axial compression 20 MPa
Axial compression 24 MPa
Axial compression 28 MPa
Axial compression 32 MPa
Axial compression 36 MPa 0
5
10
15
20
25
30
35
40
45
50
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
Axial compression 25 MPa
Axial compression 30 MPa
Axial compression 35 MPa
Axial compression 40 MPa
Axial compression 45 MPa
Axial strain / 10
-3
Time / h Axial strain / 10
-3 Time / h Time / h a) Bedding angle of 0
Time / h
0
5
10
15
20
25
30
35
40
45
50
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Axial strain / 10
-3
Time / h
Axial compression 24 MPa
Axial compression 28 MPa
Axial compression 32 MPa
Axial compression 36 MPa
Axial compression 40 MPa b) Bedding angle of 22.5
0
5
10
15
20
25
30
35
40
45
50
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
Axial strain / 10
-3
Time / h
Axial compression 29 MPa
Axial compression 34 MPa
Axial compression 39 MPa
Axial compression 44 MPa
Axial compression 49 MPa Axial strain / 10
-3 d) Bedding angle of 67.5
f) The last-stage loading
Time / h
0
1
2
3
4
5
6
7
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
7.0
7.5
8.0
Axial strain / 10
-3
Time / h
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90° c) Bedding angle of 45
e) Bedding angle of 90
Time / h
Axial compression 86 MPa
Axial compression 91 MPa
Axial compression 96 MPa
Axial compression 101 MPa
Axial compression 106 MPa
0
5
10
15
20
25
30
35
40
45
50
2.5
3.0
3.5
4.0
4.5
5.0
5.5
6.0
Axial strain / 10
-3
Time / h
3 Axial strain / 10
-3 Axial strain / 10
-3 f) The last-stage loading Fig. 3.1 Uniaxial compression test results and analysis 7 Creep curves of layered phyllite samples under various loading conditions. a) the first five-stage loading creep curve
f th
k
l
ith
b ddi
l
f 0° b) th fi t fi
t
l
di
f th
k
l
ith
b ddi Fig. 7 Creep curves of layered phyllite samples under various loading conditions. a) the first five-stage loading creep curve
of the rock sample with a bedding angle of 0°; b) the first five-stage loading creep curve of the rock sample with a bedding angle of 22.5°; c) the first five-stage loading creep curve of the rock sample with a bedding angle of 45°; d) the first
five-stage loading creep curve of the rock sample with a bedding angle of 67.5°; e) the first five-stage loading creep curve of
the rock sample with a bedding angle of 90°; f) the last-stage loading creep curve of rock samples having bedding angles of
0°, 22.5°, 45°, 67.5°, and 90°. strain-time relationship curves of layered phyllite samples under the last-stage loading are shown The strain-time relationship curves of layered phyllite samples under the last-stage loading are show in Fig. 7f . The creep time of the rock sample in the steady-state creep stage first decreases and then
increases as the bedding angle changes from 0° to 90°. It is primarily because of the reason that with the
increase in bedding angle, the shear stress on the bedding surface first increases and then decreases, and
the growth rate of shear cracks first accelerates and then decelerates. Figs. 8 and 9 show the cumulative creep deformation curves and the creep rate curves of the
deceleration creep stage of the specimens under various loading levels, respectively. For the same bedding
angle, the cumulative creep deformation of the rock sample and the axial displacement rate of the
deceleration creep stage both show concave growth roughly as the loading level increases. Under the same
stress loading level, as the bedding angle changes from 0° to 90°, the cumulative creep deformation of the
rock sample and creep rate of the deceleration creep stage are different. When the bedding angle is 22.5°,
the cumulative creep deformation of the rock sample is the smallest, and the creep rate corresponding to
the deceleration creep stage is the largest. The effect of the bedding angle on the creep characteristics of
layered phyllite is clearly visible under the high-stress loading level. Fig. 3.1 Uniaxial compression test results and analysis 8 Cumulative creep deformation curves of the
specimens under various loading conditions. Fig. 9 Creep rate curves of the specimens during the
deceleration creep stage under various loading conditions. 48
96
144
192
240
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90°
Accumulated strain /10
-3
Time /h
48
96
144
192
240
288
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
Axial displacement rate /mm·h
-1
Time /h
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90° Accumulated strain /10
-3 Fig. 8 Cumulative creep deformation curves of the Fig. 9 Creep rate curves of the specimens during the g
p
specimens under various loading conditions. deceleration creep stage under various loading conditions. The typical failure characteristics of layered phyllite samples having different bedding angles under
uniaxial compression creep test are presented in Fig. 10. When the bedding angle is 0°, the rock sample
undergoes shear failure along a certain angle relative to the vertical axis, and the long-term strength of the
rock is relatively high. When the bedding angle is 22.5° – 67.5°, because the bedding surface has a
weakening effect on the rock sample, shear cracks along the bedding direction form near the bedding
surface, causing the rock sample to undergo shear slip failure at the bedding surface. When the bedding
angle is 90°, a typical vertical splitting failure occurs parallel to the bedding plane. a) b) c) d) e)
Fig. 10 Typical failure characteristics of layered phyllite samples under uniaxial compression creep for a: a) bedding angle of
0°; b) bedding angle of 22.5°; c) bedding of 45°; d) bedding angle of 67.5°; e) bedding angle of 90°. d) e) b) a) d) c) Fig. 10 Typical failure characteristics of layered phyllite samples under uniaxial compression creep for a: a) bedding angle of
0°; b) bedding angle of 22.5°; c) bedding of 45°; d) bedding angle of 67.5°; e) bedding angle of 90°. 4.1 Damage creep model of the layered rock masses To further explore the transversely isotropic creep damage mechanism of layered rock masses, a
damage creep model that considers the weakening effect of bedding planes has been constructed based on
the existing viscoelastic-plastic damage creep model, and the influence of bedding angle on the
transversely isotropic creep damage mechanism of layered rock masses has been quantitatively discussed. The results of the laboratory uniaxial compression creep test of layered phyllite show the development of
instantaneous strain in the rock sample in the initial loading stage. Since the loading time at this stage is
shorter than the later creep time, the elastic strain is considered to be completed instantaneous at this stage,
and its constitutive relations are described by elastomers. Then it enters the deceleration creep stage. When
the level of the axial stress on the rock sample is small, the strain rate gradually decreases and tends
towards 0. The strain curve at this stage shows significant nonlinear characteristics, and its constitutive
relationship can be described as a nonlinear Kelvin body. When the stress level of the creep test is close to
the long-term rock strength, the rock strain has a linear relationship with time after the deceleration creep
stage. The constitutive relationship at this stage can be described as a viscous body. When the stress level
exceeds the long-term strength of the rock itself, the rock undergoes the deceleration and steady-state creep
stage, and quickly enters the accelerated creep stage. At this time, the internal fissures within the rock
sample continue to develop and gradually form macroscopic cracks. In this process, the creep damage
increases sharply with time, resulting in failure of the rock sample (as shown in Fig. 11). Fig. 11 Creep curves of layered rock masses. Fig. 12 Damage creep model of layered rock masses. εe
ε
εve
εv
η4
σ
0
t
η3
8
(t ) 0, σ0 σs
(t ) 0, σ0 σs
εvp
η2
E1
E2
σs σ0
8
E1
η2
η3
σs
εve
εv
εvp
εe
E2
η4, D Fig. 12 Damage creep model of layered rock masses. E1
η2
η3
σs
εve
εv
εvp
εe
E2
η4, D Fig. 11 Creep curves of layered rock masses. Fig. 12 Damage creep model of layered rock masses. 4.1 Damage creep model of the layered rock masses Based on the creep curves of layered rock masses under different stress levels, this study connects the
following classical rock mechanics elements in a series: elastic body, nonlinear Kelvin body, viscous body,
and damage viscoplastic body. By considering the non-stationarity component of the element parameters
under the action of bedding surface weakening and aging damage, a damage creep model of the whole rock
creep process considering the weakening effect of the macro-bedding surface and aging damage has been
constructed (as shown in Fig. 12). 4.2 One-dimensional equation of the damage creep model of the layered rock masses According to the model series and parallel stress-strain relationship: According to the model series and parallel stress-strain relationship:
vp
v
ve
e
vp
v
ve
e
(1) (1) (1) where ε is the total strain; εe, εve, εv, and εvp are the strain of the elastic body, nonlinear Kelvin body, viscous
body, and damage viscoplastic body, respectively; σe, σve, σv, and σvp are the stress of the elastic body,
nonlinear Kelvin body, viscous body, and damage viscoplastic body, respectively. where ε is the total strain; εe, εve, εv, and εvp are the strain of the elastic body, nonlinear Kelvin body, viscous
body, and damage viscoplastic body, respectively; σe, σve, σv, and σvp are the stress of the elastic body,
nonlinear Kelvin body, viscous body, and damage viscoplastic body, respectively. The one-dimensional equations of the elastic body, nonlinear Kelvin body, and viscous body are given
as follows (Zhao et al. 2017; Liu et al. 2017): 1
1
E
E
e
e
(2)
)]
exp(
1[
2
2
2
t
η
E
E
ve
(3)
t
v
3
(4) (2) (3) (4) where E1 and E2 are the elastic modulus of the elastic body and nonlinear Kelvin body, respectively; η2 and
η3 are the viscosity coefficient of the nonlinear Kelvin body and viscous body, respectively. where E1 and E2 are the elastic modulus of the elastic body and nonlinear Kelvin body, respectively; η2 and
η3 are the viscosity coefficient of the nonlinear Kelvin body and viscous body, respectively. The differential constitutive equation of the damage viscoplastic body by introducing the damage
variable D (Kachanvo 1992; Cao et al. 2016) is as follows: )
(1
4
4
D
~
vp
(5)
λ
t
t
D
1
1
1
)
1
(
1
(6) (5) (6) where
~
is the effective stress; η4 is the viscosity coefficient of the damage viscoplastic body; D is the
damage variable; C and λ are material parameters; and t1 is the time at which the rock undergoes creep
failure. Substituting Eq. (6) into Eq. 4.2 One-dimensional equation of the damage creep model of the layered rock masses (5), a one-dimensional creep constitutive equation of the damage
viscoplastic body can be obtained as follows:
1
1
1
4
1
(
)
t
t
vp
(7) (7) By integrating Eq. (7) with the initial conditions of t = 0 and ε = 0 and replacing σ with σ-σs, an
one-dimensional equation of the damage viscoplastic body can be obtained as follows: By integrating Eq. (7) with the initial conditions of t = 0 and ε = 0 and replacing σ with σ-σs, an
one-dimensional equation of the damage viscoplastic body can be obtained as follows: ]
)
1(
1[)
1(
1
4
D
t
s
vp
(8) (8) where σs is the long-term strength, which can be obtained from the uniaxial compression creep test. According to Eqs. (1)–(8), the one-dimensional equation of the damage creep model of layered rock
masses can be expressed as following: 2
0
1
2
2
2
0
1
2
2
3
2
1
2
2
1
1
0
4
1
[1
exp(
)]
( (
)
0
)
[1
exp(
)]
( (
)
0
)
[1
exp(
)]
(1
)[1
1
]
(
)
s
s
3
λ
λ
s
s
E
σ
σ
t
t
σ
σ
E
E
η
E
σ
σ
σ
t
t
t
σ
σ
E
E
η
η
ε
E
σ
σ
t
t
E
E
η
η
σ
σ t
λ
t
σ
σ
η
λ
t
,
,
(9) (9) 4.3 Identification and sensitivity analysis of creep parameters 2.17
0.024
)
0.13(1
1.34
0.056
t
e
)
0.15(1
1.54
0.042
t
e
)
0.16(1
1.73
0.039
t
e
)
0.18(1
1.93
0.032
t
e
Axial compression 24MPa
Axial compression 28MPa
Axial compression 32MPa
Axial compression 36MPa
Axial compression 40MPa
Axial strain / 10
-3
Time / h
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
2.4
2.8
3.2
3.6
4.0
4.4
)
0.13(1
2.79
0.059
t
e
)
0.14(1
2.95
0.050
t
e
)
0.15(1
3.20
0.044
t
e
t
e
t
0.020
)
0.15(1
3.46
0.039
)
(1
3
0.1
2.56
0.071
t
e
Axial compression 86MPa
Axial compression 91MPa
Axial compression 96MPa
Axial compression 101MPa
Axial compression 106MPa
Axial strain / 10
-3
Time / h b) Bedding angle of 22.5
d) Bedding angle of 67.5
f) The last-stage loading
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.2
1.5
1.8
2.1
2.4
2.7
)
0.14(1
1.09
ε
0.066
t
e
)
0.16(1
1.30
ε
0.049
t
e
)
0.17(1
1.52
ε
0.044
t
e
)
0.19(1
1.71
ε
0.036
t
e
t
e
t
0.020
)
0.22(1
1.96
ε
0.027
Axial compression 20MPa
Axial compression 24MPa
Axial compression 28MPa
Axial compression 32MPa
Axial compression 36MPa
Axial strain / 10
-3
Time / h
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.5
1.8
2.1
2.4
2.7
3.0
3.3
3.6
)
0.18(1
1.86
0.057
t
e
)
0.19(1
2.13
0.047
t
e
)
0.22(1
2.36
0.039
t
e
t
e
t
4
0.01
)
0.24(1
2.61
0.028
)
0.16(1
1.68
0.064
t
e
Axial compression 29MPa
Axial compression 34MPa
Axial compression 39MPa
Axial compression 44MPa
Axial compression 49MPa
Axial strain / 10
-3
Time / h
a
a
0
1
2
3
4
5
6
7
8
3
4
5
6
7
8
9
0.29
0.023
)
1.95
1.06(1
0.20
)
0.31(1
8
.2
4
t
t
e
t
4
0.3
0.024
)
2.89
1.19(1
0.145
)
0.28(1
56
.4
t
t
e
t
9
0.3
0.030
)
4.17
1.60(1
0.138
)
0.35(1
55
.5
t
t
e
t
2
0.4
0.031
)
5.23
1.56(1
3
0.1
)
0.29(1
87
.5
t
t
e
t
5
0.4
0.032
)
7.12
2.07(1
2
0.1
)
0.37(1
59
.6
t
t
e
t
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90°
Axial strain / 10
-3
Time / h a) Bedding angle of 0 b) Bedding angle of 22.5
c) Bedding angle of 45 d) Bedding angle of 67.5
e) Bedding angle of 90 f) The last-stage loading
Fig 13 Comparison of creep test data and the theoretical curve of layered phyllite samples a) the first five-stage loading
Axial compression 25MPa
Axial compression 30MPa
Axial compression 35MPa
Axial compression 40MPa
Axial compression 45MPa
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
2.8
3.0
3.2
3.4
)
0.13(1
1.38
ε
0.068
t
e
)
0.14(1
1.64
ε
0.057
t
e
)
0.16(1
1.91
ε
0.048
t
e
)
0.18(1
2.17
ε
0.040
t
e
t
e
t
0.013
)
0.21(1
2.44
ε
0.032
Axial strain /10
-3
Time /h
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.2
1.5
1.8
2.1
2.4
2.7
)
0.14(1
1.09
ε
0.066
t
e
)
0.16(1
1.30
ε
0.049
t
e
)
0.17(1
1.52
ε
0.044
t
e
)
0.19(1
1.71
ε
0.036
t
e
t
e
t
0.020
)
0.22(1
1.96
ε
0.027
Axial compression 20MPa
Axial compression 24MPa
Axial compression 28MPa
Axial compression 32MPa
Axial compression 36MPa
Axial strain / 10
-3
Time / h
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
2.8
3.0
3.2
t
e
ε
t
5
0.01
)
(1
20
0. 4.3 Identification and sensitivity analysis of creep parameters a) the first five-sta
creep curve of the rock sample with a bedding angle of 0°; b) the first five-stage loading creep curve of the rock Fig. 13 Comparison of creep test data and the theoretical curve of layered phyllite samples. a) the first five-stage loading
creep curve of the rock sample with a bedding angle of 0°; b) the first five-stage loading creep curve of the rock sample with
a bedding angle of 22 5°; c) the first five stage loading creep curve of the rock sample with a bedding angle of 45°; d) the Fig. 13 Comparison of creep test data and the theoretical curve of layered phyllite samples. a) the first five-stage loading
creep curve of the rock sample with a bedding angle of 0°; b) the first five-stage loading creep curve of the rock sample with
a bedding angle of 22.5°; c) the first five-stage loading creep curve of the rock sample with a bedding angle of 45°; d) the
first five-stage loading creep curve of the rock sample with a bedding angle of 67.5°; e) the first five-stage loading creep
curve of the rock sample with a bedding angle of 90°; f) the last-stage loading creep curve of rock samples having bedding
angles of 0° 22 5° 45° 67 5° and 90° creep curve of the rock sample with a bedding angle of 0 ; b) the first five stage loading creep curve of the rock sample with
a bedding angle of 22.5°; c) the first five-stage loading creep curve of the rock sample with a bedding angle of 45°; d) the
first five-stage loading creep curve of the rock sample with a bedding angle of 67.5°; e) the first five-stage loading creep
curve of the rock sample with a bedding angle of 90°; f) the last-stage loading creep curve of rock samples having bedding
angles of 0°, 22.5°, 45°, 67.5°, and 90°. dding angle of 22.5°; c) the first five-stage loading creep curve of the rock sample with a bedding angle of 45°; d) the
five-stage loading creep curve of the rock sample with a bedding angle of 67.5°; e) the first five-stage loading creep
e of the rock sample with a bedding angle of 90°; f) the last-stage loading creep curve of rock samples having bedding
angles of 0°, 22.5°, 45°, 67.5°, and 90°. 4.3 Identification and sensitivity analysis of creep parameters 2.17
0.024
)
0.13(1
1.34
0.056
t
e
)
0.15(1
1.54
0.042
t
e
)
0.16(1
1.73
0.039
t
e
)
0.18(1
1.93
0.032
t
e
Axial strain / 10
-3
Time / h Axial strain / 10
-3 c) Bedding angle of 45
e) Bedding angle of 90
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
t
e
ε
t
5
0.01
)
(1
20
0. 4.3 Identification and sensitivity analysis of creep parameters 2.17
0.024
)
0.13(1
1.34
0.056
t
e
)
0.15(1
1.54
0.042
t
e
)
0.16(1
1.73
0.039
t
e
)
0.18(1
1.93
0.032
t
e
Axial compression 24MPa
Axial compression 28MPa
Axial compression 32MPa
Axial compression 36MPa
Axial compression 40MPa
Axial strain / 10
-3
Time / h
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.5
1.8
2.1
2.4
2.7
3.0
3.3
3.6
)
0.18(1
1.86
0.057
t
e
)
0.19(1
2.13
0.047
t
e
)
0.22(1
2.36
0.039
t
e
t
e
t
4
0.01
)
0.24(1
2.61
0.028
)
0.16(1
1.68
0.064
t
e
Axial compression 29MPa
Axial compression 34MPa
Axial compression 39MPa
Axial compression 44MPa
Axial compression 49MPa
Axial strain / 10
-3
Time / h
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
2.4
2.8
3.2
3.6
4.0
4.4
)
0.13(1
2.79
0.059
t
e
)
0.14(1
2.95
0.050
t
e
)
0.15(1
3.20
0.044
t
e
t
e
t
0.020
)
0.15(1
3.46
0.039
)
(1
3
0.1
2.56
0.071
t
e
Axial compression 86MPa
Axial compression 91MPa
Axial compression 96MPa
Axial compression 101MPa
Axial compression 106MPa
Axial strain / 10
-3
Time / h
0
1
2
3
4
5
6
7
8
3
4
5
6
7
8
9
0.29
0.023
)
1.95
1.06(1
0.20
)
0.31(1
8
.2
4
t
t
e
t
4
0.3
0.024
)
2.89
1.19(1
0.145
)
0.28(1
56
.4
t
t
e
t
9
0.3
0.030
)
4.17
1.60(1
0.138
)
0.35(1
55
.5
t
t
e
t
2
0.4
0.031
)
5.23
1.56(1
3
0.1
)
0.29(1
87
.5
t
t
e
t
5
0.4
0.032
)
7.12
2.07(1
2
0.1
)
0.37(1
59
.6
t
t
e
t
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90°
Axial strain / 10
-3
Time / h b)
ddi
l
f 22 5
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.2
1.5
1.8
2.1
2.4
2.7
)
0.14(1
1.09
ε
0.066
t
e
)
0.16(1
1.30
ε
0.049
t
e
)
0.17(1
1.52
ε
0.044
t
e
)
0.19(1
1.71
ε
0.036
t
e
t
e
t
0.020
)
0.22(1
1.96
ε
0.027
Axial compression 20MPa
Axial compression 24MPa
Axial compression 28MPa
Axial compression 32MPa
Axial compression 36MPa
Axial strain / 10
-3
Time / h 0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
2.8
)
0.13(1
1.38
ε
0.068
t
e
)
0.14(1
1.64
ε
0.057
t
e
)
0.16(1
1.91
ε
0.048
t
e
)
0.18(1
2.17
ε
0.040
t
e
t
e
t
0.013
)
0.21(1
2.44
ε
0.032
Axial strain /10
-3
Ti
/h Axial strain / 10
-3 b) Bedding angle of 22.5
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.5
1.8
2.1
2.4
2.7
3.0
3.3
3.6
)
0.18(1
1.86
0.057
t
e
)
0.19(1
2.13
0.047
t
e
)
0.22(1
2.36
0.039
t
e
t
e
t
4
0.01
)
0.24(1
2.61
0.028
)
0.16(1
1.68
0.064
t
e
Axial compression 29MPa
Axial compression 34MPa
Axial compression 39MPa
Axial compression 44MPa
Axial compression 49MPa
Axial strain / 10
-3
Time / h b) Bedding angle of 22.5
3.3
3.6
Axial compression 29MPa
Axial compression 34MPa
Axial compression 39MPa
Axial compression 44MPa
Axial compression 49MPa 0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
t
e
ε
t
5
0.01
)
(1
20
0. 4.3 Identification and sensitivity analysis of creep parameters 2.17
0.024
)
0.13(1
1.34
0.056
t
e
)
0.15(1
1.54
0.042
t
e
)
0.16(1
1.73
0.039
t
e
)
0.18(1
1.93
0.032
t
e
Axial strain / 10
-3
Time / h
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
2.4
2.8
3.2
3.6
4.0
4.4
)
0.13(1
2.79
0.059
t
e
)
0.14(1
2.95
0.050
t
e
)
0.15(1
3.20
0.044
t
e
t
e
t
0.020
)
0.15(1
3.46
0.039
)
(1
3
0.1
2.56
0.071
t
e
Axial compression 86MPa
Axial compression 91MPa
Axial compression 96MPa
Axial compression 101MPa
Axial compression 106MPa
Axial strain / 10
-3
Time / h Time / h d) Bedding angle of 67.5
f) Th l t t
l
di
Time / h
0
1
2
3
4
5
6
7
8
3
4
5
6
7
8
9
0.29
0.023
)
1.95
1.06(1
0.20
)
0.31(1
8
.2
4
t
t
e
t
4
0.3
0.024
)
2.89
1.19(1
0.145
)
0.28(1
56
.4
t
t
e
t
9
0.3
0.030
)
4.17
1.60(1
0.138
)
0.35(1
55
.5
t
t
e
t
2
0.4
0.031
)
5.23
1.56(1
3
0.1
)
0.29(1
87
.5
t
t
e
t
5
0.4
0.032
)
7.12
2.07(1
2
0.1
)
0.37(1
59
.6
t
t
e
t
Bedding angle of 0°
Bedding angle of 22.5°
Bedding angle of 45°
Bedding angle of 67.5°
Bedding angle of 90°
Axial strain / 10
-3
Time / h Axial strain / 10
-3 f) The last-stage loading
Time / h e) Bedding angle of 90
Time / h Time / h f) The last-stage loading f) The last-stage loading Fig. 13 Comparison of creep test data and the theoretical curve of layered phyllite samples. 4.3 Identification and sensitivity analysis of creep parameters 4.3 Identification and sensitivity analysis of creep parameters The nonlinear regression method was used on the uniaxial creep test data of layered phyllite to
identify the parameters of the damage creep model of layered rock masses and to obtain the elastic moduli
E1, E2, viscosity coefficient η2, η3, η4, and the value of the material parameter λ. The time t1 for the creep
failure of the rock can be obtained from the uniaxial compression creep test. Based on the model
parameters corresponding to the layered phyllite creep tests on samples having different bedding angles,
the theoretical curve of the model is established with the test time as a consistent independent variable, and
the curve is compared with the test data under the same conditions (as shown in Fig. 13). a) Bedding angle of 0
c) Bedding angle of 45
e) Bedding angle of 90
Axial compression 25MPa
Axial compression 30MPa
Axial compression 35MPa
Axial compression 40MPa
Axial compression 45MPa
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
2.8
3.0
3.2
3.4
)
0.13(1
1.38
ε
0.068
t
e
)
0.14(1
1.64
ε
0.057
t
e
)
0.16(1
1.91
ε
0.048
t
e
)
0.18(1
2.17
ε
0.040
t
e
t
e
t
0.013
)
0.21(1
2.44
ε
0.032
Axial strain /10
-3
Time /h
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
2.8
3.0
3.2
t
e
ε
t
5
0.01
)
(1
20
0. 4.3 Identification and sensitivity analysis of creep parameters 13f), and
this is consistent with the experimental results. Under high-stress levels, the directional flow speed of the
microelements inside the rock is accelerated, and the internal mechanical properties continue to deteriorate. Compared with the first five stress loading levels the creep parameters E1 E2 η2 and η3 of the rock E2 as well as the viscosity coefficients η2 and η3 initially decrease and then increase with the increase in
bedding angle under low stress levels. Moreover, the changes in the creep parameters causes the
cumulative creep deformation and creep time during the steady-state creep stage of the specimens to
initially decrease and then increase as the bedding angle changes from 0° to 90° (as shown in Fig. 13f), and
this is consistent with the experimental results. Under high-stress levels, the directional flow speed of the
microelements inside the rock is accelerated, and the internal mechanical properties continue to deteriorate. Compared with the first five stress loading levels, the creep parameters E1, E2, η2, and η3 of the rock
sample are small in the final loading stage, which demonstrates that the internal viscoelastic and
viscoplastic deformations of the rock sample at this time are both large; the rock mass elastic modulus E1,
E2, viscosity coefficient η2, η3, η4, and the time required for creep failure t1, all decrease first and then
increase with increase in the bedding angle (as shown in Fig. 14). The influence of the transverse isotropic Compared with the first five stress loading levels, the creep parameters E1, E2, η2, and η3 of the rock
sample are small in the final loading stage, which demonstrates that the internal viscoelastic and
viscoplastic deformations of the rock sample at this time are both large; the rock mass elastic modulus E1,
E2, viscosity coefficient η2, η3, η4, and the time required for creep failure t1, all decrease first and then
increase with increase in the bedding angle (as shown in Fig. 14). The influence of the transverse isotropic
characteristics of rocks on the rheological characteristics of layered phyllite cannot be ignored. a) Relationship between the bedding angle and elastic
modulus E1. b) Relationship between the bedding angle and elastic
modulus E2. c) Relationship between the bedding angle and viscosity
coefficients η2. d) Relationship between the bedding angle and viscosity
coefficients η3. 4.3 Identification and sensitivity analysis of creep parameters Table 2 shows the fitting parameters of layered phyllite samples having bedding angles of 0°, 22.5°,
45°, 67.5°, and 90° under the creep failure stress. The experimental results show that the elastic modulus E2 as well as the viscosity coefficients η2 and η3 initially decrease and then increase with the increase in
bedding angle under low stress levels. Moreover, the changes in the creep parameters causes the
cumulative creep deformation and creep time during the steady-state creep stage of the specimens to
initially decrease and then increase as the bedding angle changes from 0° to 90° (as shown in Fig. 13f), and
this is consistent with the experimental results. Under high-stress levels, the directional flow speed of the
microelements inside the rock is accelerated, and the internal mechanical properties continue to deteriorate. Compared with the first five stress loading levels, the creep parameters E1, E2, η2, and η3 of the rock
sample are small in the final loading stage, which demonstrates that the internal viscoelastic and
viscoplastic deformations of the rock sample at this time are both large; the rock mass elastic modulus E1,
E2, viscosity coefficient η2, η3, η4, and the time required for creep failure t1, all decrease first and then
increase with increase in the bedding angle (as shown in Fig. 14). The influence of the transverse isotropic
characteristics of rocks on the rheological characteristics of layered phyllite cannot be ignored. E2 as well as the viscosity coefficients η2 and η3 initially decrease and then increase with the increase in
bedding angle under low stress levels. Moreover, the changes in the creep parameters causes the
cumulative creep deformation and creep time during the steady-state creep stage of the specimens to
initially decrease and then increase as the bedding angle changes from 0° to 90° (as shown in Fig. 13f), and
this is consistent with the experimental results. Under high-stress levels, the directional flow speed of the
microelements inside the rock is accelerated, and the internal mechanical properties continue to deteriorate. E2 as well as the viscosity coefficients η2 and η3 initially decrease and then increase with the increase in
bedding angle under low stress levels. Moreover, the changes in the creep parameters causes the
cumulative creep deformation and creep time during the steady-state creep stage of the specimens to
initially decrease and then increase as the bedding angle changes from 0° to 90° (as shown in Fig. 4.3 Identification and sensitivity analysis of creep parameters 8.52
9.35
9.65
9.73
16.84
0.0
22.5
45.0
67.5
90.0
0
2
4
6
8
10
12
14
16
18
20
E1 /GPa
Bedding angle /°
172.41
128.62
157.14
158.82
299.19
0.0
22.5
45.0
67.5
90.0
0
50
100
150
200
250
300
350
E2 /GPa
Bedding angle /°
5.34
2.97
3.77
4.76
9.57
0.0
22.5
45.0
67.5
90.0
0
2
4
6
8
10
12
η2 /(GPa·h)
Bedding angle /°
384.62
199.01
303.45
398.55
895.16
0.0
22.5
45.0
67.5
90.0
0
200
400
600
800
1000
1200
η3 /(GPa·h)
Bedding angle /° b) Relationship between the bedding angle and elastic
modulus E2. 172.41
128.62
157.14
158.82
299.19
0.0
22.5
45.0
67.5
90.0
0
50
100
150
200
250
300
350
E2 /GPa
Bedding angle /° 8.52
9.35
9.65
9.73
16.84
0.0
22.5
45.0
67.5
90.0
0
2
4
6
8
10
12
14
16
18
20
E1 /GPa
Bedding angle /° b) Relationship between the bedding angle and elastic
modulus E2. a) Relationship between the bedding angle and elastic
modulus E1. 2
384.62
199.01
303.45
398.55
895.16
0.0
22.5
45.0
67.5
90.0
0
200
400
600
800
1000
1200
η3 /(GPa·h)
Bedding angle /° 5.34
2.97
3.77
4.76
9.57
0.0
22.5
45.0
67.5
90.0
0
2
4
6
8
10
12
η2 /(GPa·h)
Bedding angle /° η3 /(GPa·h) Bedding angle /° c) Relationship between the bedding angle and viscosity
coefficients η2. d) Relationship between the bedding angle and viscosity
coefficients η3. d) Relationship between the bedding angle and viscosity
coefficients η3. e) Relationship between the bedding angle and viscosity
coefficients η4. f) Relationship between the bedding angle and creep
failure time t1. Fig. 14 Relationship between the bedding angle and creep parameters. 31.31
14.52
22.64
23.58
35.49
0.0
22.5
45.0
67.5
90.0
0
5
10
15
20
25
30
35
40
45
50
η4 /(GPa·h)
Bedding angle /°
5.23
1.95
2.89
4.17
7.13
0.0
22.5
45.0
67.5
90.0
0
1
2
3
4
5
6
7
8
9
10
t1 /h
Bedding angle /° 31.31
14.52
22.64
23.58
35.49
0.0
22.5
45.0
67.5
90.0
0
5
10
15
20
25
30
35
40
45
50
η4 /(GPa·h)
Bedding angle /° 5.23
1.95
2.89
4.17
7.13
0.0
22.5
45.0
67.5
90.0
0
1
2
3
4
5
6
7
8
9
10
t1 /h
Bedding angle /° e) Relationship between the bedding angle and viscosity
coefficients η4. 4.3 Identification and sensitivity analysis of creep parameters f) Relationship between the bedding angle and creep
failure time t1. Fig. 14 Relationship between the bedding angle and creep parameters. Table 2 Creep parameters of layered phyllite samples having different bedding angles. Bedding
angle, β (°)
Axial compression
(MPa)
Creep parameters
E1 (GPa)
E2(GPa)
η2 (GPa·h)
η3 (GPa·h)
η4 (GPa·h)
t1 (h)
0
25
18.06
192.30
13.08
-
-
-
30
18.29
214.29
12.21
-
-
-
35
18.32
218.75
10.50
-
-
-
40
18.43
222.22
8.89
-
-
-
45
18.52
224.17
7.19
3461.54
-
-
50
8.52
172.41
5.34
384.62
31.31
5.23
22.5
20
18.39
142.86
9.43
-
-
-
24
18.46
150.00
7.35
-
-
-
28
18.54
164.71
7.24
-
-
-
32
18.60
168.42
6.06
-
-
-
36
18.62
171.42
4.63
1800.05
-
-
40
9.35
128.62
2.97
199.01
14.52
1.95
45
24
17.91
179.10
10.03
-
-
-
28
18.18
186.66
7.84
-
-
-
32
18.49
191.62
7.47
-
-
-
36
18.65
200.02
6.40
-
-
-
40
18.96
203.42
4.88
2758.62
-
-
44
9.65
157.14
3.77
303.45
22.64
2.89
67.5
29
17.26
181.25
11.60
-
-
-
34
18.28
188.89
10.75
-
-
-
39
18.31
198.98
9.35
-
-
-
44
18.64
209.53
8.17
-
-
-
49
18.77
213.04
5.96
3450.70
-
-
54
9.73
158.82
4.76
398.55
23.58
4.17 Table 2 Creep parameters of layered phyllite samples having different bedding angles. 90
86
32.45
661.54
46.97
-
-
-
91
32.61
684.21
40.37
-
-
-
96
32.64
685.71
34.28
-
-
-
101
32.65
687.07
30.23
-
-
-
106
32.77
706.66
27.55
5273.63
-
-
111
16.84
299.19
9.57
895.16
35.49
7.13
5. Discussion 5. Discussion The long-term load damage parameters D and λ were introduced into the damage creep model of
layered rock masses, and these parameters play a key role in describing the damage characteristics of
layered rock masses during the accelerated creep stage. Therefore, this section focuses on the effect of the
long-term load damage parameters on the transversely isotropic creep characteristics and the damage
mechanism of rock samples having different bedding angles during the accelerated creep stage. Fig. 15 shows the variation of damage variable with time for rock samples having different bedding
angles during the accelerated creep stage. As the long-term load damage parameter λ of the specimens
decreases, the nonlinear change trend of the curve becomes more significant and the shorter the time
required for the damage variable D of the rock sample to reach 1. These observations indicate that the
damage creep model can describe well the accelerated creep characteristics of layered rock masses. Fig. 15 Damage variable vs. time for rock samples having
different bedding angles during the accelerated creep stage. Fig. 16 Creep curves of rock samples having different
bedding angles during the accelerated creep stage. 0
1
2
3
4
5
6
7
8
9
10
0.0
0.2
0.4
0.6
0.8
1.0
Damage variable,D
Time / h
Bedding angle of 0°, λ=0.71
Bedding angle of 22.5°, λ=0.41
Bedding angle of 45°, λ=0.51
Bedding angle of 67.5°, λ=0.63
Bedding angle of 90°, λ=0.82
0
1
2
3
4
5
6
7
8
0.0
0.5
1.0
1.5
2.0
Axial strain / 10
-3
Time / h
Bedding angle of 0°, λ=0.71
Bedding angle of 22.5°, λ=0.41
Bedding angle of 45°, λ=0.51
Bedding angle of 67.5°, λ=0.63
Bedding angle of 90°, λ=0.82 0
1
2
3
4
5
6
7
8
9
10
0.0
0.2
0.4
0.6
0.8
1.0
Damage variable,D
Time / h
Bedding angle of 0°, λ=0.71
Bedding angle of 22.5°, λ=0.41
Bedding angle of 45°, λ=0.51
Bedding angle of 67.5°, λ=0.63
Bedding angle of 90°, λ=0.82 0
1
2
3
4
5
6
7
8
0.0
0.5
1.0
1.5
2.0
Axial strain / 10
-3
Time / h
Bedding angle of 0°, λ=0.71
Bedding angle of 22.5°, λ=0.41
Bedding angle of 45°, λ=0.51
Bedding angle of 67.5°, λ=0.63
Bedding angle of 90°, λ=0.82 Damage variable,D Axial strain / 10
-3 Fig. 16 Creep curves of rock samples having different
bedding angles during the accelerated creep stage. 5. Discussion Fig. 16 Creep curves of rock samples having different Fig. 15 Damage variable vs. time for rock samples having
different bedding angles during the accelerated creep stage. Fig. 16 Creep curves of rock samples having different
bedding angles during the accelerated creep stage. Fig. 16 shows the creep curves of rock samples having different bedding angles during the accelerated
creep stage. When the bedding angle is 22.5°, 45°, and 67.5°, the creep deformation rate of the rock sample
increases, the curve becomes steeper, and the long-term load damage parameter λ of the rock sample is
0.41, 0.51, and 0.63, respectively. When the bedding angles are 0° and 90°, the accelerated creep stage of
the rock sample is longer, the creep deformation rate is smaller, the curve is smoother, and the long-term load damage parameters λ of the rock sample are 0.71 and 0.82, respectively. Results show that as the
bedding angle changes from 0° to 90°, the long-term load damage parameter λ of the rock sample first
decreases and then increases. In addition, the time required for the accumulation of microscopic cracks in
the corresponding rock sample during the accelerated creep stage to the generation of the macroscopic
section first decreases and then increases. The damage creep model effectively reflects and predicts the
transversely isotropic creep damage mechanism of layered rock masses. 6. Summary and conclusions To develop a comprehensive understanding of the creep characteristics and damage mechanism of
layered rock masses, a series of uniaxial compression creep experiments were conducted on layered
phyllite samples having bedding angles of 0°, 22.5°, 45°, 67.5°, and 90°. The laboratory test results show that the creep deformation of layered phyllite can be classified into
four stages: the instantaneous elastic deformation stage, the deceleration creep stage, the steady-state creep
stage, and the accelerated creep stage. The creep characteristics of layered phyllites are significantly
affected by the weak bedding planes; specifically, the cumulative creep deformation and the creep time
during the steady-state creep stage of the specimens initially decrease and then increase as the bedding
angle changes from 0° to 90°, thereby, corresponding to the initial increase and subsequent decrease in
creep rate during the deceleration creep stage. Based on the existing viscoelastic-plastic damage creep model, the creep parameters were identified,
and the variation trend of creep parameters was studied. At low-stress levels, the elastic modulus E2 as well
as the viscosity coefficients η2 and η3 all first decrease and then increase as the bedding angle changes from
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Prognostic value of stromal and epithelial periostin expression in human prostate cancer: correlation with clinical pathological features and the risk of biochemical relapse or death
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BMC cancer
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cc-by
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RESEARCH ARTICLE Open Access * Correspondence: fboccardo@unige.it
1IRCCS San Martino University Hospital – IST National Cancer Research
Institute and the University of Genoa, Academic Unit of Medical Oncology
(UOC Oncologia Medica B), Largo Rosanna Benzi 10, 16132 Genoa, Italy
3University of Genoa, Department of Internal Medicine, School of Medicine,
Genoa, Italy
Full list of author information is available at the end of the article © 2012 Nuzzo 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. Prognostic value of stromal and epithelial
periostin expression in human prostate cancer:
correlation with clinical pathological features and
the risk of biochemical relapse or death Pier Vitale Nuzzo1,3, Alessandra Rubagotti1,3, Linda Zinoli1,3, Francesco Ricci3, Sandra Salvi2, Simona Boccardo2 and
Francesco Boccardo1,3* Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Patient selection Since we originally planned to study POSTN overexpres-
sion in cryopreserved material by immune blotting techni-
ques, a patient cohort we had previously utilized for
studies on NM proteins was selected [7]. This cohort is
made up of 90 patients who underwent radical prostatec-
tomy for biopsy proven PCa between October 1995 and
October 2003, and who were subsequently referred to our
Unit for treatment or follow-up. Before surgery, all patients
had provided consent allowing tumor tissue specimens to
be collected for proteomic analysis. This research project
was approved by the Ethical Committee of the National
Cancer Research Institute of Genoa, Italy. Unfortunately,
most of the stored material had been used for previous
studies on NM proteins and therefore large enough sam-
ples for the present evaluations were no longer available. This prompted us to retrieve corresponding archival mater-
ial in order to allow us to carry out immune histochemical
studies. We were able to follow-up most of our cohort
patients at regular intervals. However, over time, a relevant
number of patients failed to attend clinical examinations,
so the vital status of these patients had to be checked by
phone, or, when this was not possible, by contacting the
local tumor registry or the registry office of the patient’s
place of residence. The main characteristics of the patients
making up the study cohort are summarized in Table 1. Many of the cellular abnormalities that are present in
most solid tumors are structural in nature and involve
either the nuclear matrix (NM) or the extracellular matrix
(ECM), both of which are regarded as a promising source
of new markers [6-8]. Among the components of ECM,
increasing interest has been shown in Periostin (POSTN), a
protein produced by fibroblasts, as a major putative player
in human carcinogenesis [8]. During embryogenesis, this
protein is preferentially expressed in the periosteum and
periodontal ligaments where it acts as a critical regulator of
bone and tooth formation and maintenance [9]. However, it
was also shown to play an important role in cardiac devel-
opment [10]. In adults, POSTN is up-regulated by mechan-
ical stress and contributes to tissue repair and regeneration
[11,12]. It has recently been suggested that POSTN might
also play a relevant role in human carcinogenesis. Abstract Background: The purpose of the present study was to evaluate the prognostic value of POSTN expression
following prostatectomy. Methods: Periostin (POSTN) expression in prostate cancer (PCa) and in normal specimens was evaluated in 90
patients by an immuno-reactive score(IRS) based on the intensity of immunostaining and on the quantity of stained
cells. The t-test was applied to compare IRS values in cancer specimens to values in normal specimens. Pearson’s
test was used to correlate POSTN expression to clinical pathologic features. PSA progression-free and survival curves
were constructed by the Kaplan–Meier method and compared using the log-rank test. Multi-parametric models
were constructed according to the Cox technique adding all the covariates predicting for either PSA progression or
death into the models after univariate analysis. Results: Both stromal and epithelial POSTN expression were significantly increased in tumor tissues. In particular,
we found stromal expression to be significantly higher than epithelial expression as compared to normal tissues
(p<0.000 and p=0.001).A significant correlation between POSTN epithelial expression and extra-prostatic extension
was found (p=0.03). While high stromal expression was significantly associated with shorter survival (p=0.008), a low
epithelial score significantly correlated with shorter PSA-free survival (p=0.04), suggesting that POSTN plays an
apparently opposing biological role depending on its compartmentalization.Regardless of the mechanism that is
involved, patients showing both high stromal and low epithelial expression made up a subgroup with a very bleak
prognosis. Conclusions: Although requiring further validation through larger studies, our findings show that POSTN might
represent a novel prognostic marker for PCa. rds: POSTN protein, Human, Prostatic neoplasms, Extracellular matrix proteins, Prognosis, Biomarker © 2012 Nuzzo 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. Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Page 2 of 12 Background overexpression in PCa [15,16]. In one study, increased
epithelial expression was found during the early stages
of PCa, whereas stromal POSTN expression prevailed
in advanced stages [15]. In the other study, which also
showed POSTN to be far more overexpressed in tumor
tissues than in peritumoral tissues, POSTN appeared to
be overexpressed both by the epithelial and by the
stromal cells [16]. In this study, a strong association
between epithelial expression and local tumor stage was
observed, while stromal overexpression appeared to be
correlated mainly with a high Gleason score and an
increased risk of biochemical failure [16]. Prostate cancer (PCa) has become the most common ma-
lignancy among men in most Western countries [1]. Even
when this tumor is apparently confined to the prostate, it
encompasses a broad spectrum of diseases, some of which
are characterized by extremely indolent behavior and others
by very poor outcome. Therefore, an important clinical
question is how aggressively to treat patients diagnosed at
this stage. Among patients who are treated with radical
prostatectomy, the most commonly used parameters for
defining prognosis and choosing the right candidates for
adjuvant local irradiation or systemic treatments include
tumor volume and pathological grade and status of surgical
margins, seminal vesicles and pelvic nodes [2]. However,
there is no widely accepted method for quantifying tumor
volume [3]. Moreover, tumor grade scoring methods can
result in significant inter-observer variations, particularly
when defining intermediate tumor grades [4,5]. This applies
specifically to the old Gleason scoring method. New prog-
nostic markers are therefore required. In the present study we investigated POSTN expres-
sion in PCa tissue specimens and in normal peritumoral
specimens in order to confirm previous findings and to
evaluate the putative prognostic value of POSTN also as
a function of its compartmentalization. Patient selection In fact,
this protein interacts with multiple cell-surface receptors,
most notably integrins, as well as with signals mainly via
the PI3-K/Akt and other pathways, thus promoting cancer
cell survival, epithelial–mesenchymal transition (EMT), in-
vasion, and metastasis [13]. Though it is currently not clear
whether the production and secretion of POSTN is directly
mediated by tumor epithelial cells or by stromal cells, or by
both, overexpression of POSTN in cancer stroma and/or in
the epithelium is usually associated with the most ma-
lignant phenotypes and with poor clinical outcome [8]. In
bladder cancer however, protein down-regulation was
shown to be associated with poorer prognostic features
[14], suggesting that POSTN can act either as a tumor
promoter or as a tumor suppressor gene, most likely
depending on several variables, including the protein
isoform and /or the interactor involved in the process. Immunohistochemistry (IHC) IHC analysis was carried out using 3-μm sections of paraf-
fin embedded prostate tissue using the POSTN (OSF-2)
Polyclonal Antibody (Acris Antibodies, Germany; Host/
Isotype:Rabbit), suitable for various isoforms of POSTN. The antibody was diluted at 1:500. The most representative tumor and normal peritu-
moral tissue sections were immunostained using the To the best of our knowledge, to date only two studies
have investigated the
clinical
relevance
of
POSTN Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Page 3 of 12 Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Table 1 Main characteristic of study patients Table 1 Main characteristic of study patients
Total patients
N=90(%)
Median age in years(range)
64(48–77)
Median PSA level at surgery in ng/ml(range)
11.0(1.7-167.4)
Extra-prostatic extension
46(51.1)
Pelvic nodes involved
16(17.8)
Surgical margins involved
34(37.8)
Seminal vesicles involved
24(26.7)
Gleason score<7
32(35.6)
=7
30(33.3)
>7
28(31.1) A negative and a positive control were used for each stain-
ing run. The negative control consisted of performing the
entire IHC procedure on adjacent sections in the absence
of the primary antibody. Then the sections were counter-
stained with Gill's modified hematoxylin, cover-slipped and
evaluated by two different observers using an Olympus
multi-headed light microscope using 10X, 40X and 63X
magnifications. Evaluation of staining To evaluate epithelial and stromal POSTN expression,
we used the immuno-reactive score (IRS) as previously
implemented by Tischler et al. [16], based on the inten-
sity of immune staining and the quantity of stained cells. The intensity of staining was arbitrarily graded as: absent
(0), weak (1+), moderate (2+), strong (3+). The percen-
tage of stained cells was used to quantify the reaction as
negative (0% of positive cells), 1+ (<10% positive cells);
2+ (10-50% of positive cells); 3+ (51-80% of positive
cells); 4+ (>80% of positive cells). The final value of the
analysis of each tissue sample was then expressed as an Benchmark XT automatic stainer (Ventana Medical
Systems, SA Stasbourg, France). Slides were deparaffi-
nized, and after adding high Ph, heat induced, standard cit-
rate buffer (30 min), the antibody-antigen complex was
relieved using the polymeric detection system (Ventana
Medical System Ultraview Universal DAB Detection Kit). Figure 1 POSTN expression in tumor stroma: tumor specimens graded 0 to 3+ according to arbitrary scoring (see text) are shown. Figure 1 POSTN expression in tumor stroma: tumor specimens graded 0 to 3+ according to arbitrary scoring (see text) are shown. Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Page 4 of 12 Figure 2 POSTN expression in tumor epithelium: tumor specimens graded 0 to 3+ according to arbitrary scoring (see text) are shown. Figure 2 POSTN expression in tumor epithelium: tumor specimens graded 0 to 3+ according to arbitrary scoring (see text) are shown. sion in tumor epithelium: tumor specimens graded 0 to 3+ according to arbitrary scoring (see text) are shown. igure 2 POSTN expression in tumor epithelium: tumor specimens graded 0 to 3+ according to arbitrary scoring (se absolute value through the obtained score by multiplying
the two individual scores (i.e., intensity of staining score
times the percentage of stained cells score). Examples of
scoring according to staining intensity and the percen-
tage of stained cells are shown in Figures 1 and 2. was defined by any PSA serum level of 0.4 ng/ml or more
following prostatectomy, provided that this value had been
confirmed at least once, and at least 4 weeks apart. PSA
progression-free survival was thus defined by the amount
of time that elapsed from the date the patient underwent
prostatectomy to the date of the documented PSA progres-
sion as defined above. Evaluation of staining Overall survival was calculated as the
amount of time between the date of prostatectomy and the
date of death, regardless of the cause. Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Main analysis endpoints PSA progression-free survival and overall survival were the
main end-points of the present analysis. PSA progression Table 2 POSTN expression in epithelium or stroma of tumor or normal tissue specimens
Epithelium
Stroma
Mean value(SE)
p≤
Mean value(SE)
p≤
Tumor tissue:Intensity
0.56(0.08)
2.38(0.08)
Normal tissue:Intensity
0.26(0.05)
0.002
1.49(0.09)
0.000
Tumor tissue:%Cells stained
0.89(0.13)
2.46(0.11)
Normal tissue:%Cells stained
0.41(0.09)
0.003
1.52(0.10)
0.000
Tumor tissue:IRS
1.24(0.21)
6.37(0.39)
Normal tissue:IRS
0.46(0.10)
0.001
2.80(0.27)
0.000
Abbreviations:SE,Standard Error;IRS, Immuno-reactive score. Table 2 POSTN expression in epithelium or stroma of tumor or normal tissue specimens Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Nuzzo et al. BMC Cancer 2012, 12:625 Page 5 of 12 Figure 3 PSA progression-free Survival (A) and Overall Survival (B) as a function of stromal IRS (see text for explanations). Figure 3 PSA progression-free Survival (A) and Overall Survival (B) as a function of stromal IRS (see text for explanations). Statistical analysis survival curves were constructed by the Kaplan–Meier
method [17] and compared using the log-rank test [18]. To
evaluate the role of prognostic variables, a series of Cox
proportional
hazards
models
were
fitted
to
PSA
progression-free and overall survival data [19]. The follow-
ing covariates were included in all models: pre-surgery
PSA levels (<=10 ng/ml, >10 ng/ml); extra-prostatic exten-
sion (Yes, No); involvement of surgical margins (No, Yes);
involvement of seminal vesicles (No, Yes); Gleason score The t-test was applied to compare mean values (Standard
Error: SE) of stromal or epithelial IRS in PCa tissue spe-
cimens with those calculated in normal peritumoral tissue
specimens. Pearson’s correlation was used to correlate
either epithelial or stromal POSTN expression with all of
the following: PSA, Gleason score, extra-prostatic exten-
sion, lymph node status, involvement of surgical margins or
of seminal vesicles. PSA progression-free and overall Figure 4 PSA progression-free (A) and Overall Survival (B) as a function of epithelial IRS (see text for explanations). Figure 4 PSA progression-free (A) and Overall Survival (B) as a function of epithelial IRS (see text for explanations). Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Page 6 of 12 Table 3 Multivariate analysis
PSA Progression-Free Survival
Model 1
Model 2
Model 3
HR
(95%CI)
p=
HR
(95%CI)
p=
HR
(95%CI)
p=
PSA,ng/ml
≤10ng/ml
1.0
1.0
1.0
>10ng/ml
1.41
(0.67-2.97)
0.4
1.26
(0.59-2.68)
0.5
1.30
(0.61-2.79)
0.5
Extra-prostatic extension
Yes
1.0
1.0
1.0
No
3.33
(1.31-8.49)
0.01
3.21
(1.28-8.07)
0.01
3.21
(1.27-8.09)
0.01
Pelvic nodes involved
N0
1.0
1.0
1.0
N+
1.56
(0.69-3.56)
0.3
1.38
(0.60-3.14)
0.4
1.40
(0.61-3.18)
0.4
Surgical margins involved
No
1.0
1.0
1.0
Yes
0.75
(0.31-1.79)
0.5
0.72
(0.31-1.67)
0.4
0.68
(0.29-1.62)
0.4
Seminal vesicles involved
No
1.0
1.0
1.0
Yes
0.77
(0.35-1.68)
0.5
0.64
(0.28-1.43)
0.3
0.64
(0.28-1.42)
0.3
Gleason score
<7
1.0
≥7
2.03
(0.91-4.55)
0.08
Gleason score
≤7
1.0
>7
3.29
(1.63-6.65)
0.001
Gleason score
<7
1.0
0.003
=7
1.33
(0.54-3.26)
0.5
>7
3.90
(1.59-9.55)
0.003
Epithelial IRS
>2
1.0
1.0
1.0
≤2
6.20
(1.30-29.44)
0.02
4.85
(0.98-24.09)
0.05
4.86
(0.98-24.05)
0.05
Stroma IRS
<12
1.0
1.0
1.0
=12
2.06
(0.87-4.88)
0.1
1.90
(0.77-4.65)
0.1
1.84
(0.76-4.50)
0.6
Abbreviations:HR, Hazard Ratio;CI,Confidence Interval;PSA,Prostate-specific antigen;IRS,Immuno-reactive score. Table 3 Multivariate analysis (HR) estimates and their 95% Confidence Intervals (CIs)
were also calculated [18]. All P values were two-tailed. The
IBM software Statistical Package for Social Sciences (SPSS)
version 19.0 for Windows (SPSS Inc. Statistical analysis Chicago, Illinois,
USA) was used for data analysis. (Model I: <7, >=7), (Model II: <=7, >7), (Model III: <7, =7,
>7); involvement of pelvic nodes (N0, N+); epithelial IRS;
stromal IRS and stromal plus epithelial IRS. Relative to
IRS, the value corresponding to the 75th percentile was
used as an arbitrary cut-off (75th percentile value of epithe-
lial IRS=2; 75th percentile value of stromal IRS=12). The
75th percentile value was infact the value which better dis-
criminated the patient-cohort according to the main clin-
ical outcome endpoints on study. (Model I: <7, >=7), (Model II: <=7, >7), (Model III: <7, =7,
>7); involvement of pelvic nodes (N0, N+); epithelial IRS;
stromal IRS and stromal plus epithelial IRS. Relative to
IRS, the value corresponding to the 75th percentile was
used as an arbitrary cut-off (75th percentile value of epithe-
lial IRS=2; 75th percentile value of stromal IRS=12). The
75th percentile value was infact the value which better dis-
criminated the patient-cohort according to the main clin-
ical outcome endpoints on study. POSTN expression in the epithelium and stroma of
prostate tissues A stepwise procedure was used with a significance level
of p=0.05 to retain variables in the model. Hazard Ratio Distinct stromal and epithelial staining characteristics
allowed for absolutely certain evaluation of POSTN Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Page 7 of 12 Page 7 of 12 Table 4 Multivariate analysis
Overall survival
Model 1
Model 2
Model 3
HR
(95%CI)
p=
HR
(95%CI)
p=
HR
(95%CI)
p=
PSA,ng/ml
≤10ng/ml
1.0
1.0
1.0
>10ng/ml
0.54
(0.15-2.03)
0.4
0.48
(0.12-1.86)
0.3
0.48
(0.12-1.87)
0.3
Extra-prostatic extension
Yes
1.0
1.0
(0.76-17.35)
1.0
No
3.43
(0.73-16.12)
0.1
3.63
0.1
3.48
(0.73-16.54)
0.1
Pelvic nodes involved
N0
1.0
1.0
1.0
N+
1.71
(0.50-5.79)
0.4
1.44
(0.43-4.83)
0.5
1.40
(0.42-4.72)
0.6
Surgical margins involved
No
1.0
1.0
1.0
Yes
1.37
(0.45-4.21)
0.6
1.38
(0.47-4.01)
0.6
1.33
(0.45-3.92)
0.6
Seminal vesicles involved
No
1.0
1.0
1.0
Yes
1.39
(0.49-3.94)
0.5
1.08
(0.37-3.10)
0.9
1.11
(0.38-3.25)
0.8
Gleason score
<7
1.0
≥7
2.13
(0.55-8.19)
0.3
Gleason score
≤7
1.0
>7
2.80
(0.93-8.47)
0.07
Gleason score
<7
1.0
0.1
=7
1.43
(0.32-6.40)
0.6
>7
3.52
(0.79-15.61)
0.1
Epithelial IRS
>2
1.0
1.0
1.0
≤2
3.22
(0.56-18.48)
0.2
3.09
(0.51-18.63)
0.2
3.19
(0.52-19.47)
0.2
Stroma IRS
<12
1.0
1.0
1.0
=12
5.85
(1.82-18.77)
0.003
5.76
(1.84-18.07)
0.003
5.99
(1.87-19.22)
0.003
Abbreviations:HR,Hazard Ratio;CI Confidence Interval;PSA,Prostate-specific antigen;IRS Immuno-reactive score. Table 4 Multivariate analysis correlated with epithelial POSTN expression (p<0.000). As shown in Table 2, both stromal and epithelial
POSTN
expressions
were
significantly
increased
in
tumor tissues as compared to normal adjacent tissues
(p<0.000
and
p=0.001,
respectively). Nevertheless,
POSTN expression in the stromal component of nor-
mal tissues was about twice as high as what was
observed in the epithelial component of prostate can-
cer
tissues
(p=0.003),
indicating
that
stromal
cells
mostly contribute to POSTN secretion both in normal
and in neoplastic conditions. correlated with epithelial POSTN expression (p<0.000). As shown in Table 2, both stromal and epithelial
POSTN
expressions
were
significantly
increased
in
tumor tissues as compared to normal adjacent tissues
(p<0.000
and
p=0.001,
respectively). Nevertheless,
POSTN expression in the stromal component of nor-
mal tissues was about twice as high as what was
observed in the epithelial component of prostate can-
cer
tissues
(p=0.003),
indicating
that
stromal
cells
mostly contribute to POSTN secretion both in normal
and in neoplastic conditions. staining in the selected tumor and peritumor tissue spe-
cimens. POSTN expression in the epithelium and stroma of
prostate tissues Of the 90 prostate cancers, 79 (87.8%) dis-
played moderate (N°=32) or strong (N°=47) stromal
POSTN expression. The mean (SE) overall IRS value
was 6.37 (0.39). The expression of POSTN by tumor
epithelial cells was significantly lower than what was
observed in stromal cells (p=0.003). In fact, only 36
out
of
90
(40%)
cancer
specimens
showed
weak
(N°=25) or moderate (N°=11) staining intensity. The
mean (ES) overall IRS in this case was 1.24 (0.21). Notably,
stromal
POSTN
expression
significantly Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Nuzzo et al. BMC Cancer 2012, 12:625 Page 8 of 12 http://www.biomedcentral.com/1471-2407/12/625 Figure 5 PSA progression-free (A) and Overall Survival (B) as a function of both stromal and epithelial IRS (see text for explanations). on-free (A) and Overall Survival (B) as a function of both stromal and epithelial IRS (see text for explanations). Figure 5 PSA progression-free (A) and Overall Survival (B) as a function of both stromal and epithelial IRS (see t Correlation with clinical-pathological variables corresponding to the 75th percentile) was significantly
correlated
with
longer
PSA-free
survival
(p=0.04)
(Figure
4). Since
stromal
and
epithelial
expression
appeared to have different correlations despite being dir-
ectly correlated to each other as previously mentioned, the
two variables (i.e., stromal and epithelial POSTN scores)
were both included in the same multiparametric models
together with the other variables that predicted both
PSA–free and overall survival in univariate analysis. Differ-
ent models were created on the basis of the Gleason score
(Tables 3 and 4). Multivariate analysis confirmed that epi-
thelial expression independently correlated with the risk
of PSA progression, regardless of how the Gleason score
was analyzed. Low expression did in fact imply an increase
in the risk of PSA failure, which became statistically sig-
nificant when the Gleason score was analyzed by arbitrar-
ily grouping patients with a score >7 with those showing a
score equal to 7. Multivariate analysis also confirmed that
stromal IRS did not predict the risk of PSA failure, regard-
less of which Gleason score variable was used. By contrast,
stromal IRS was the only independent predictor of the risk
of death, regardless of how the Gleason score variable was
analyzed. Epithelial IRS was not predictive of the risk of
death, similarly to all the other variables we considered,
including extra-prostatic extension and Gleason score. However, the latter variables were predictors of the risk of
PSA failure. POSTN expression in the epithelium and stroma of
prostate tissues Noteworthy, the patients showing both high
stromal expression (IRS=12) and low epithelial expression
(IRS<=2) made up a subgroup with a very bleak prognosis,
showing both the shortest PSA-free (p=0.005) and the
shortest overall survival (p=0.02) (Figure 5).This trend was
confirmed by multivariate analysis (Tables 5 and 6). We found no specific correlation between epithelial or
stromal POSTN expression and any of the clinical-
pathological parameters (PSA preoperative level; Gleason
score; extra-prostatic extension; lymph node status; in-
volvement of surgical margins or seminal vesicles) that we
evaluated in the present analysis except for a weak positive
correlation
between
POSTN
stromal
expression
and
Gleason score (p=0.08), and a significant correlation be-
tween epithelial expression of the protein and extra-
prostatic extension (p=0.03). Correlation of POSTN expression with PSA-free and
overall survival Besides the number
of patients and disease stage, these studies differ in some
methodological aspects. In our own, as well as in Tischler’s
study [16], POSTN detection was performed using the
same rabbit polyclonal antibody capable of recognizing all
the different POSTN isoforms. A polyclonal anti-POSTN
antibody was also used by the Japanese investigators for
their IHC determinations [15]. However, there were major Correlation of POSTN expression with PSA-free and
overall survival After a median follow-up time of 134.5 months (range,
33.7–178.2), 44 patients progressed and 19 died. Median
time to PSA progression for the whole cohort was 94.5
months (range 3–169.6), while median time to death has
not been reached yet. POSTN expression in the stromal
and epithelial compartments of the tumor both correlated
with PSA progression-free survival or overall survival, al-
beit in a different manner. Stromal POSTN expression
was significantly associated with overall survival, for an
IRS value of 12, corresponding to the 75th percentile. The
group of patients with an IRS=12 (strong staining intensity
and 80% of positive cells) showed significantly shorter sur-
vival than patients with an IRS<12 (p=0.008). These
patients also showed a trend for shorter PSA-free survival
(Figure 3). While no significant correlation was found be-
tween epithelial IRS and patients' survival, in contrast to
previous findings, a higher epithelial score (IRS>2, again Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Page 9 of 12 Page 9 of 12 Table 5 Multivariate analysis
PSA Progression-Free Survival
Model 1
Model 2
Model 3
HR
(95%CI)
p=
HR
(95%CI)
p=
HR
(95%CI)
p=
PSA,ng/ml
≤10ng/ml
1.0
1.0
1.0
>10ng/ml
1.39
(0.66-2.96)
0.4
1.25
(0.58-2.68)
0.6
1.29
(0.60-2.78)
0.5
Extra-prostatic extension
Yes
1.0
1.0
1.0
No
3.30
(1.29-8.47)
0.01
3.21
(1.27-8.07)
0.01
3.20
(1.27-8.09)
0.01
Pelvic nodes involved
N0
1.0
1.0
1.0
N+
1.55
(0.68-3.55)
0.3
1.37
(0.60-3.14)
0.4
1.39
(0.61-3.18)
0.4
Surgical margins involved
No
1.0
1.0
1.0
Yes
0.75
(0.31-1.81)
0.5
0.72
(0.31-1.67)
0.4
0.68
(0.29-1.62)
0.4
Seminal vesicles involved
No
1.0
1.0
1.0
Yes
0.77
(0.35-1.70)
0.5
0.64
(0.28-1.44)
0.3
0.64
(0.28-1.43)
0.3
Gleason score
<7
1.0
≥7
2.02
(0.90-4.54)
0.09
Gleason score
≤7
1.0
>7
3.29
(1.62-6.65)
0.001
Gleason score
<7
1.0
0.03
=7
1.32
(0.54-3.26)
0.5
>7
3.89
(1.58-9.54)
0.003
Stromal -Epithelial IRS Score
=12/≤2
1.0
0.08
1.0
0.2
1.0
0.2
<12/≤2
0.47
(0.19-1.17)
0.1
0.52
(0.20-1.33)
0.2
0.53
(0.21-1.37)
0.2
=12/>2
0.14
(0.01-1.33)
0.09
0.19
(0.02-1.89)
0.2
0.19
(0.02-1.89)
0.2
<12/>2
0.09
(0.01-0.77)
0.03
0.11
(0.01-1.10)
0.06
0.12
(0.01-1.11)
0.06
Abbreviations:HR,Hazard Ratio;CI ,Confidence Interval; PSA,Prostate-specific antigen;IRS, Immuno-reactive score. Table 5 Multivariate analysis found higher POSTN expression in normal epithelial
cells. However, in this study, POSTN expression was also
higher in the epithelium than in the stroma of cancerous
tissues [15]. It is not easy to explain the differences that
were observed in the three studies. Discussion Comparably to previous findings by Tischler et al. [16],
we have demonstrated that POSTN is far more highly
expressed in cancer tissues than in normal tissues. In
our study, POSTN appears to be expressed mainly in the
stromal compartment, both in normal and in cancerous
tissues. In Tischler’s study, epithelial expression was
higher in normal tissues, while in cancerous tissues it
was higher in the larger test cohort, but it was lower in
the smaller training cohort [16]. Tischler's findings on
normal prostate gland tissues are comparable with those
previously reported by Tsunoda et al. [15] who also Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Page 10 of 12 Table 6 Multivariate analysis
Overall survival
Model 1
Model 2
Model 3
HR
(95%CI)
p=
HR
(95%CI)
p=
HR
(95%CI)
p=
PSA,ng/ml
≤10ng/ml
1.0
1.0
1.0
>10ng/ml
0.49
(0.13-1.83)
0.3
0.45
(0.12-1.74)
0.2
0.45
(0.12-1.74)
0.2
Extra-prostatic extension
Yes
1.0
1.0
1.0
No
3.34
(0.71-15.66)
0.1
3.75
(0.79-17.88)
0.1
3.52
(0.74-16.77)
0.1
Pelvic nodes involved
N0
1.0
1.0
1.0
N+
1.72
(0.50-5.88)
0.4
1.45
(0.43-4.93)
0.5
1.41
(0.41-4.79)
0.6
Surgical margins involved
No
1.0
1.0
1.0
Yes
1.42
(0.46-4.38)
0.5
1.36
(0.46-3.99)
0.6
1.31
(0.44-3.89)
0.6
Seminal vesicles involved
No
1.0
1.0
1.0
Yes
1.41
(0.50-3.97)
0.5
1.06
(0.37-3.05)
0.9
1.12
(0.38-3.20)
0.8
Gleason score
<7
1.0
≥7
2.19
(0.56-8.62)
0.3
Gleason score
≤7
1.0
>7
2.75
(0.90-8.42)
0.08
Gleason score
<7
1.0
0.2
=7
1.49
(0.33-6.81)
0.6
>7
3.56
(0.78-16.20)
0.1
Stromal -Epithelial IRS Score
=12/≤2
1.0
0.01
1.0
0.01
1.0
0.01
<12/≤2
0.13
(0.04-0.44)
0.001
0.14
(0.04-0.46)
0.001
0.14
(0.04-0.45)
0.001
=12/>2
0.19
(0.02-1.37)
0.1
0.21
(0.03-1.58)
0.1
0.20
(0.02-1.53)
0.1
<12/>2
0.12
(0.01-1.32)
0.08
0.12
(0.01-1.43)
0.09
0.11
(0.01-1.37)
0.09
Abbreviations:HR,Hazard Ratio;CI ,Confidence Interval; PSA, Prostate-specific antigen;IRS,Immuno-reactive score. Table 6 Multivariate analysis differences concerning staining evaluation. In fact, we and
Tischler used an immune score (IRS) obtained by mul-
tiplying the intensity of staining by the percentage of
stained cells. Notably, comparable median IRS values were
obtained by us and by the Swiss colleagues. However, the
results obtained in our two studies are not comparable
since patients were analyzed after arbitrarily grouping
them in different manners. Authors’ contributions NPV participated in the design of the study, in data interpretation and in
drafting the manuscript. RA participated in the design of the study and
performed the statistical analysis. ZL made substantial contributions in
updating patients histories and helped in statistical analysis. RF participated
in study conception and acquisition of data. SS carried out the
immunohistochemistry analysis and evaluation of staining. BS carried out the
immunohistochemistry analysis and evaluation of staining. BF: made
substantial contributions to conception, design, analysis and interpretation of
data. He has been involved in drafting the manuscript and revising it
critically for important intellectual content. He gave final approval of the
version to be published. No degree of relationship do exhist between
Boccardo S and Boccardo F, as they simply share an homonymy of family
name. All authors read and approved the final manuscript. We also observed a direct relationship between stromal
POSTN IRS and PSA-free survival, however the difference
was not statistically significant, exactly as reported by
Tischler et al. [16] in their validation set which was much
larger than our own set but showed a comparable clinical
outcome. However, low epithelial POSTN expression was
associated with shorter PSA-free survival in our study,
and epithelial expression was not predictive of patient sur-
vival. By contrast, stromal expression was highly predictive
of the risk of death, while it was only a weak predictor of
PSA progression. These findings suggest that POSTN
might play a different biological role in tumor progression,
depending on its compartmentalization. In fact, while
POSTN down-regulation in PCa epithelium appears to be
correlated with extra-prostatic extension and biochemical
failure, both of which represent early events in the natural
history of the disease, POSTN overexpression in the
stroma appears to be highly predictive of the risk of death,
a late event that usually follows distant spreading and the
loss of hormone dependency. This differential effect has
been confirmed by multivariate analysis and suggests that
it may be possible to identify different tumor phenotypes
which are characterized by an increasing risk of PSA fai-
lure and death. In this regard, it is certainly intriguing that
the prognostic value of POSTN overexpression in stroma
is especially evident in patients whose tumors down-
regulate POSTN expression in the epithelial compart-
ment, but not in those whose tumors also overexpress the
protein in the epithelial component (Figure 5). Discussion In fact, in the Swiss study,
median IRS values were used as cut-off points to
dichotomize the tumors into a “POSTN low” and
“POSTN high” population, while we found that the cut
off score that best defined patient risk was the 75th per-
centile. In Tsunoda's study [15], IHC analysis only took into consideration the quantitative expression of POSTN
(positive: at least >5% of staining cells), without evaluating
staining intensity. differences concerning staining evaluation. In fact, we and
Tischler used an immune score (IRS) obtained by mul-
tiplying the intensity of staining by the percentage of
stained cells. Notably, comparable median IRS values were
obtained by us and by the Swiss colleagues. However, the
results obtained in our two studies are not comparable
since patients were analyzed after arbitrarily grouping
them in different manners. In fact, in the Swiss study,
median IRS values were used as cut-off points to
dichotomize the tumors into a “POSTN low” and
“POSTN high” population, while we found that the cut
off score that best defined patient risk was the 75th per-
centile. In Tsunoda's study [15], IHC analysis only took The
differences
in
how
patients
were
grouped,
i.e. according to their IRS, may have been particularly
relevant when POSTN expression was correlated with
clinical outcome. Tischler’s study [16] evaluated the correlation between
POSTN expression and PSA relapse- free survival. They
showed that higher stromal POSTN was significantly
associated with shorter PSA-free survival both in the
training cohort and in the test cohort set. However, the
difference between low and high POSTN subgroups was Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Page 11 of 12 Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Nuzzo et al. BMC Cancer 2012, 12:625
http://www.biomedcentral.com/1471-2407/12/625 Author details
1 RCCS S 1IRCCS San Martino University Hospital – IST National Cancer Research
Institute and the University of Genoa, Academic Unit of Medical Oncology
(UOC Oncologia Medica B), Largo Rosanna Benzi 10, 16132 Genoa, Italy. 2IRCCS San Martino University Hospital – IST National Cancer Research
Institute, Pathology Unit, Genoa, Italy. 3University of Genoa, Department of
Internal Medicine, School of Medicine, Genoa, Italy. Received: 5 July 2012 Accepted: 17 December 2012
Published: 28 December 2012 Authors’ contributions The
phenotype characterized by low POSTN expression in the
epithelium and high protein expression in the stroma
showed a bleak prognosis, both in terms of PSA-free and
overall survival. Acknowledgments
Thi
k
i l This work was partially supported by grants from: the Italian Health Ministry
(Grant number 2005 conv. 93; 2005 conv. 65); Italian Education, University
and Research Ministry (Grant number: 9806118184 and 2008YFRLC8-004);
Liguria Region, Department of Health (Grant number: 563/2009); “Compagnia
di San Paolo”, Italy (Grant number: 2009.1271). The authors are indebted to Dr Claudia Casella (Descriptive Epidemiology
Unit: Tumor Registry, IRCCS San Martino University Hospital –IST National
Cancer Research Institute, Genoa, Italy) for helping in data collection. The authors would also like to thank Prof. Mauro Truini (Pathology Unit,
Director; IRCCS San Martino University Hospital - IST National Cancer
Research Institute, Genoa, Italy;) and Prof. Giorgio Carmignani (Department of
Urology “Luciano Giuliani”, Director; IRCCS San Martino University Hospital –
IST National Cancer Research Institute, Genoa, Italy) for their kind and greatly
appreciated co-operation. Finally they are indebted to Ms Valerie Perricone
for English editing. This work was partially supported by grants from: the Italian Health Ministry
(Grant number 2005 conv. 93; 2005 conv. 65); Italian Education, University
and Research Ministry (Grant number: 9806118184 and 2008YFRLC8-004);
Liguria Region, Department of Health (Grant number: 563/2009); “Compagnia
di San Paolo”, Italy (Grant number: 2009.1271). y
The authors are indebted to Dr Claudia Casella (Descriptive Epidemiology
Unit: Tumor Registry, IRCCS San Martino University Hospital –IST National
Cancer Research Institute, Genoa, Italy) for helping in data collection. The authors would also like to thank Prof. Mauro Truini (Pathology Unit,
Director; IRCCS San Martino University Hospital - IST National Cancer
Research Institute, Genoa, Italy;) and Prof. Giorgio Carmignani (Department of
Urology “Luciano Giuliani”, Director; IRCCS San Martino University Hospital –
IST National Cancer Research Institute, Genoa, Italy) for their kind and greatly
appreciated co-operation. Finally they are indebted to Ms Valerie Perricone
for English editing. Conclusions statistically significant only in the training set. This
might reflect the different size of the two cohorts and/or
the length of follow-up (45 vs 72 months, respectively). However, it might also be associated with the different
characteristics of the two study populations. In fact, 46%
of the patients making up the training set showed bio-
chemical failure compared with 20% of those forming
the validation set. No relationship between PSA-free sur-
vival and epithelial POSTN expression was reported
in this study. Unfortunately, these investigators did not
explain the criteria that were adopted to define PSA pro-
gression, nor did they attempt to correlate POSTN
expression with patients' survival. Our findings should be regarded as merely exploratory and,
as such, they should be evaluated with caution. Nonethe-
less, they warrant IHC methodological standardization and
further validation of the potential usefulness of POSTN as
a prognostic marker in larger prospective series. Competing interest
The authors declare no competing interest. Competing interest
The authors declare no competing interest. Nuzzo et al. BMC Cancer 2012, 12:625
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34:187–220. doi:10.1186/1471-2407-12-625
Cite this article as: Nuzzo et al.: Prognostic value of stromal and
epithelial periostin expression in human prostate cancer: correlation
with clinical pathological features and the risk of biochemical relapse or
death. BMC Cancer 2012 12:625. doi:10.1186/1471-2407-12-625
Cite this article as: Nuzzo et al.: Prognostic value of stromal and
epithelial periostin expression in human prostate cancer: correlation
with clinical pathological features and the risk of biochemical relapse or
death. BMC Cancer 2012 12:625. Nuzzo et al. BMC Cancer 2012, 12:625
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An Elite Controller of Picornavirus Infection Targets an Epitope That Is Resistant to Immune Escape
|
PloS one
| 2,014
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Introduction the oral-fecal route and normal transmission is most often
asymptomatic. Occasionally,
through
unknown
mechanisms,
virions gain access to the central nervous system (CNS) where
the virus readily infects neurons and causes acute encephalitis [8]. Intracerebral infection of mice with the picornavirus TMEV is
accompanied by an acute inflammatory response that is not
cleared by most strains of mice. Infection often leads to persistence
and pathology that mimics the disease multiple sclerosis in humans
[8,9]. The major determinant regulating persistence is MHC,
specifically the H-2D gene cluster of the MHC class I locus [10]. Among the H-2D alleles, only H-2Db clearly confers resistance to
virus infection regardless of genetic background [11,12]. This
phenotype is dependent on the generation of an immunodominant
CD8+ T-cell response to the viral protein 2 (VP2), specifically the
peptide sequence VP2121-130 bound to H-2Db. Although responses
to other peptides derived from TMEV have been documented
[13], responses to the 10 amino acid sequence VP2121-130 have
been shown to comprise up to 70% of the CD8+ T-cell response
after infection and is the primary response needed for virus
clearance [14]. The quality of the immunodominant response
observed after TMEV infection is rare among known CD8+ T-cell
responses in that it is sufficient to control virus infection. The
presence of only a rare CD8+ T-cell response suggests that TMEV
has evolved to avoid detection by the CD8+ T-cell response, Interaction with pathogens has been proposed to be the main
driver of human immunity as well as the evolution of infectious
diseases and the agents that cause them [1,2,3]. Infection with
disease causing pathogens has been important for shaping the
genetics of human populations and the most prominent element is
the diversity of major histocompatibility genes and their role in
recognizing emerging infectious diseases. Occasionally, pathogens
emerge which are not effectively targeted by the immune response
of most individuals, leading to overwhelming persistent infection
often with significant pathologic consequences. Rare individuals
are able to control these infections [4,5,6]. Fortuitously, the vast
diversity of MHC genes in the population favors the presence of
rare alleles that are capable of recognizing and clearing these
emerging pathogens. Therefore, understanding the mechanisms
leading to this super resistance phenotype is critically important. We have been examining the underlying basis of super resistance
in a mouse model of picornavirus infection [7]. Michael P. Bell1, Danielle N. Renner3, Aaron J. Johnson1,2, Kevin D. Pavelko1* 1 Department of Immunology, Mayo Clinic, Rochester, Minnesota, United States of America, 2 Department of Neurology, Mayo Graduate School, Mayo Clinic, Rochester,
Minnesota, United States of America, 3 Neurobiology of Disease Program, Mayo Clinic, Rochester, Minnesota, United States of America 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 Bell et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License,
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 Institutes of Health (5R01CA104996-09). 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: pavelko.kevin@mayo.edu Abstract The emergence of novel viral pathogens can lead to devastating consequences in the infected population. However, on
occasion, rare hyper-responsive elite controllers are able to mount a protective primary response to infection and clear the
new pathogen. Factors distinguishing elite controllers from other members of the population are not completely
understood. We have been using Theiler’s murine encephalomyelitis as a model of primary infection in mice and clearance
of the virus is limited to one MHC genotype capable of generating a protective response to a single viral peptide VP2121-130. The genetics of host susceptibility to TMEV, a natural mouse pathogen, has been studied extensively and non-protective
CD8 responses to other peptides have been documented, however, little is known why the protective response to infection
focuses on the VP2121-130 peptide. To study this question, we have generated TMEV mutants that encode for mutations
within the VP2121-130 peptide. We find that very few of mutants are able to assemble and infect in vitro. These mutations are
not related to virus RNA structure since non-coding mutations do not interfere with assembly. In the rare event when
functional VP2121-130 mutant viruses did emerge, they were attenuated to some level or retained the ability to develop an
immune response to the wild-type VP2121-130 sequence, demonstrating that the virus is incapable of escaping the protective
response. These findings advance our understanding of how characteristics of the host immune response and an infectious
agent can interact to lead to the appearance of rare super controllers in a population. Furthermore, the immutable nature of
the viral antigen highlights the importance of choosing appropriate vaccine antigens and has implications for the
development of agents that are able to generate protective CD8 T-cell responses. Citation: Bell MP, Renner DN, Johnson AJ, Pavelko KD (2014) An Elite Controller of Picornavirus Infection Targets an Epitope That Is Resistant to Immune
Escape. PLoS ONE 9(4): e94332. doi:10.1371/journal.pone.0094332
Editor: Ralph Tripp University of Georgia United States of America Citation: Bell MP, Renner DN, Johnson AJ, Pavelko KD (2014) An Elite Controller of Picornavirus Infection Targets an Epitope That Is Resistant to Immune
Escape. PLoS ONE 9(4): e94332. doi:10.1371/journal.pone.0094332 Editor: Ralph Tripp, University of Georgia, United States of America Received January 22, 2014; Accepted March 13, 2014; Published April 7, 2014 Copyright: 2014 Bell et al. Introduction These elite
controllers represent a unique population that is able to recognize
and eliminate an emerging pathogen while allowing survivors to
pass on genes necessary for disease resistance. The mouse pathogen Theiler’s murine encephalomyelitis virus
(TMEV) is a natural pathogen in mice that is transmitted through PLOS ONE | www.plosone.org 1 April 2014 | Volume 9 | Issue 4 | e94332 Picornavirus Epitope Resistant to Immune Escape Table 1. VP2121-130 mutants. Model Virus
PDB ID
VP2 Mutation
VP2121-130
Inf. Sequence
Theiler’s murine
encephalomyelitis virus
1TME
TMEV VP2121-130
F H A G S L L V F M
+
TTT CAC GCC GGC TCT CTT CTT GTT TTC ATG
Seneca Valley Virus-001
3CJI
SVV126-135
F H Q G A L L V A M
2
TTT CAC CAA GGC GCT CTT CTT GTT GCC ATG
A123Q
F H Q G S L L V F M
2
TTT CAC CAA GGC TCT CTT CTT GTT TTC ATG
S125A
F H A G A L L V F M
+
TTT CAC GCC GGC GCC CTT CTT GTT TTC ATG
L129A
F H A G S L L V A M
2
TTT CAC GCC GGC TCT CTT CTT GTT GCC CTA
Coxsackievirus A21
1Z7S
CSV117-126
F H Q G A L G V F L
2
TTT CAC CAA GGC GCC CTT GGT GTT TTC CTA
L127G
F H A G S L G V F L
2
TTT CAC GCC GGC TCT CTT GGT GTT TTC CTA
M130L
F H A G S L L V F L
+
TTT CAC GCC GGC TCT CTT CTT GTT TTC CTA
Seneca Valley Virus-001/Coxsackie
A21
S125A/M130L
F H A G A L L V F L
2
TTT CAC GCC GGC GCC CTT CTT GTT TTC CTA
Human Rhinovirus 16
1AYN
S125T
F H A G T L L V F M
2
TTT CAC GCC GGC ACT CTT CTT GTT TTC ATG
Echovirus 1
1EV1
S125C
F H A G C L L V F M
2
TTT CAC GCC GGC TGT CTT CTT GTT TTC ATG
TMEV VP2121-30 Alt. Introduction F H A G S L L V F M
+
TTC CAT GCA GGA AGC TTA TTG GTC TTT ATG
doi:10 1371/journal pone 0094332 t001 doi:10.1371/journal.pone.0094332.t001 several amino acid residues of the VP2121-130 epitope of TMEV to
identify modifications that could potentially escape the immuno-
dominant response normally observed in H-2Db mice. Our
hypothesis is that modifications to the VP2121-130 sequence would
evade immunodominant T-cell responses and allow virus persis-
tence. However, we find that rarely do any modifications within
this region generate functional virions. Through homology
mapping of related picornavirus species we have identified two
TMEV mutations within the VP2121-130 region that has a
diminished immunodominant response. This diminished response
is not sufficient to promote virus persistence, demonstrating that a
diminution of the VP2121-130 CD8+ T-cell response continues to
support viral clearance. These results provide important details
regarding the characteristics of viral antigens that drive protective
CD8+ T-cell responses to primary infections and will provide
insight for the design of vaccines that are able to elicit these desired
responses. through mutations that promote immune escape and detection by
most MHC class I alleles. However, a protective response does
exist in the mouse population, suggesting that virus escape from
detection by the H-2Db allele may not be possible and that this
sequence serves a critical function for the virus and is consequently
maintained in the TMEV genome. Several potential outcomes to a change in a viral epitope
recognized by an immunodominant CD8+ T-cell response could
be realized. The acquisition of novel mutations within a virus
epitope may ultimately result in a virus that is no longer functional
or is unable to assemble due to structural or functional constraints. Consequently, the immune system will not recognize or detect
these viruses due to low fidelity and minimized antigen load. Alternatively, novel mutations will be tolerated and generate
functional virions. These new viruses may acquire mutations that
alter MHC binding by either increasing or decreasing their affinity
for MHC or alter interactions with CD8+ T-cells and MHC
bound to peptide. Nonetheless, alteration of a single amino acid
has the potential to either dampen a response or enhance the
response to viral peptides. However, as an immune evasion
strategy mutations that dampen the immune response are more
likely to ensure virus survival and persistence. PLOS ONE | www.plosone.org Silent RNA mutations at the coding sequence for
VP2121-130 do not affect virus assembly Although we were able to generate two VP2121-130 mutant
viruses using this approach a majority of the virus vectors we
synthesized failed to generate infectious virions. To rule out the
role of RNA structure in this region, we generated a codon
alternative version of TMEV. This mutant contained 13 silent
nucleotide changes within the 30 nucleotide coding sequence for
the VP2121-130 epitope (Figure 2A) and changed 9 of the 10 codons
for this epitope. Three replicates of wild-type and VP2121-130
codon alternative viruses were generated. Viruses recovered using
this approach were sequenced to determine whether the mutations
were maintained in the genome. The sequences at VP2121-130
shared complete identity to the plasmid used to generate both of
these viruses (Figure 2B). Further, both viruses could be detected
by Western blot in supernatants derived from cells transfected 7
days prior to collection (Figure 2C). Although modifications to
picornavirus RNA at other sites within VP2 can influence the
efficiency of translation and replication [17] silent mutations that
encode the VP2121-130 do not affect virus assembly or replications,
demonstrating that the inability to generate mutations in this
region is due to the amino acid structure rather than the encoding
RNA. To verify the production of viral proteins and proper cleavage
and assembly of the VP2 mutant viruses we transfected mutant
vectors into cells and then analyzed whole cell lysates and
supernatants for the presence of viral capsid proteins after 3 and 7
days post-transfection by Western blot using polyclonal serum that
recognizes both VP1 and VP2 protein. Using wild-type TMEV,
viral proteins are typically detected in the whole cell lysates or
supernatant by day 7 (Figure 1B). After 3 days of transfection only
the S125A and M130L mutant had detectable VP1 and VP2
proteins demonstrating that the viral polyprotein was processed
and cleaved to the appropriate size and that a functionally mature
viral protease was generated (Figure 1C). Further, the larger VP0
protein was only detected with the whole cell lysate at 3 days
demonstrating only immature virus is associated with cell lysate
consistent with other picornavirus strains [15]. By day 7, only
mature viral capsids were detected with both mutants killing the
remainder of the cells as was observed by the cytopathic effect
(CPE) seen in these cultures (Figure 1C). Silent RNA mutations at the coding sequence for
VP2121-130 do not affect virus assembly Further, only superna-
tants derived from the wild-type TMEV, S125A and M130L
viruses could induce CPE on susceptible cell lines as was
demonstrated through the generation of high titer virus superna-
tants after serial passage. Mutants S125A and M130L generate infectious virus Mutants S125A and M130L generate infectious virus
The vectors encoding mutations within the VP2121-130 epitope
were transfected into cells that support the generation and
propagation of TMEV. RNA isolated 24 hours after transfection
revealed that all of the vectors expressed TMEV encoding RNA as
well as the vector encoded neomycin resistance gene. We found
that only two of the mutant TMEV strains had particularly high
expression of VP2 RNA suggesting that these mutants were able to
generate additional TMEV RNA, potentially through use of their
own functioning viral polymerase, suggesting viral reconstitution
and assembly using this method (Figure 1A). Further, co-
expressing both of these mutations did not lead to the enhanced
RNA expression observed with the individual mutations, demon-
strating that intermolecular interactions among amino acids in this
area may be important for the generation of infectious virions. Of
interest was the S125A mutant, since its central location within the
peptide was most likely to influence interactions with the T-cell
receptor when bound to H-2Db, we identified two other
homologous virus sequences with changes at this position. We
found that that human rhinovirus 16 and echovirus 1 encode
threonine and cysteine at position 125 of this peptide. Vectors
encoding these mutations (Table 1) however did not generate high
RNA levels like that seen with wild-type TMEV (Figure 1A). Results Development of TMEV VP2121-130 mutants
To identify mutations that can be introduced into the
immunodominant TMEV sequence FHAGSLLVFM at positions
121-130 of VP2, we used homology mapping to identify similar
linear and conformational epitopes derived from related viruses. In this manuscript, we sought to identify TMEV mutations that
could modulate CD8+ T-cell immunodominance through manip-
ulation of viral genetics rather than host genetics. We mutagenized April 2014 | Volume 9 | Issue 4 | e94332 PLOS ONE | www.plosone.org 2 Picornavirus Epitope Resistant to Immune Escape prediction tool I-mutant 2.0 [16] to predict mutations within this
region that would promote stabilization of the folded VP2 protein. The use of this algorithm would have predicted the stability of the
M130L mutation that we found using the homologous sequence
from CSV. The predicted DDG most likely to stabilize the virus
structure was leucine at position 130 with a net change in Gibbs
free energy of -0.29 (Table 2). Using -0.29 as a threshold, we
identified the most likely stable changes throughout this peptide
fragment. We found that the serine at position 125 was predicted
to be most amenable to change, with 10 different amino acids
potentially able to stabilize this structure including the alanine
substitution used previously (Table 2). We generated the remain-
ing 9 mutants and transfected them into BHK cells to determine
whether new variants would emerge from plasmids expressing
these mutations. Only the wild-type and S125A mutant generated
detectable VP1 and VP2 protein as assessed by western blot. The
remaining mutants did not generate detectable virus proteins after
transfection in vitro for 7 days (Figure 1D), demonstrating the
inability to generate assembled virus products using cDNA
encoding these mutations. Further, we generated the remaining
amino acid substitutions at VP2125 and no productive virus
assembly was observed (data not shown), demonstrating that
interactions beyond those employed by this algorhithm govern the
ability to generate infectious virus. Our search identified 51 known homologous structures from
several picornavirus species including two strains of TMEV and of
Mengo virus, which were identical at VP2121-130. The fourth hit on
our search was Seneca Valley Virus-001 (SVV). SVV exhibited a
44% sequence identity when comparing chain C of SVV to VP2
of TMEV. Three amino acid differences were observed in the
sequence homologous to TMEV-VP2121-130, a glutamine at
position 123, an alanine at position 125 and an alanine at position
129 (Table 1). Results The next virus with the highest sequence identity to
TMEV-VP2 was coxsackievirus A21 (CSV) (36%). Four differ-
ences within the VP2121-130 sequence were identified, including
two unique amino acids, a glycine at position 127 and a leucine at
position 130. Having identified five changes to the homologous
VP2 protein, we generated TMEV mutant vectors that encode the
sequences identified in SVV and CSV en masse or as individual
amino acid changes (Table 1). Our search identified 51 known homologous structures from
several picornavirus species including two strains of TMEV and of
Mengo virus, which were identical at VP2121-130. The fourth hit on
our search was Seneca Valley Virus-001 (SVV). SVV exhibited a
44% sequence identity when comparing chain C of SVV to VP2
of TMEV. Three amino acid differences were observed in the
sequence homologous to TMEV-VP2121-130, a glutamine at
position 123, an alanine at position 125 and an alanine at position
129 (Table 1). The next virus with the highest sequence identity to
TMEV-VP2 was coxsackievirus A21 (CSV) (36%). Four differ-
ences within the VP2121-130 sequence were identified, including
two unique amino acids, a glycine at position 127 and a leucine at
position 130. Having identified five changes to the homologous
VP2 protein, we generated TMEV mutant vectors that encode the
sequences identified in SVV and CSV en masse or as individual
amino acid changes (Table 1). In vitro and in vivo replication of VP2 S125A and VP2
M130L mutant viruses After gating on CD45+ lymphocytes, we found that
mutant
viruses
induced
a
varied
CD8+
T-cell
infiltration
(Figure 4A), as a percentage of total CD45+ cells the S125A
mutant was equivalent to the wild-type TMEV and the M130L
mutant had a reduced proportion of CD8+ T-cells compared to
the S125A mutant and the wild-type virus. However, quantita-
tively the absolute numbers of CD8+ T-cells that infiltrate the
CNS after infection were only reduced with the S125A mutant
compared to wild-type TMEV (Figure 4A). CD8+ T-cells using the S125A, M130L and wild-type TMEV
viruses. After gating on CD45+ lymphocytes, we found that
mutant
viruses
induced
a
varied
CD8+
T-cell
infiltration
(Figure 4A), as a percentage of total CD45+ cells the S125A
mutant was equivalent to the wild-type TMEV and the M130L
mutant had a reduced proportion of CD8+ T-cells compared to
the S125A mutant and the wild-type virus. However, quantita-
tively the absolute numbers of CD8+ T-cells that infiltrate the
CNS after infection were only reduced with the S125A mutant
compared to wild-type TMEV (Figure 4A). immunodeficient mice. Similar to its growth in vitro, the S125A
virus had reduced virulence as determined by weight loss
(Figure 3C) and survival (Figure 3D). Further, infected CNS
tissues were recovered as mice succumbed to infection and were
assessed by plaque assay to determine viral load. We found that
virus titers at death for both of the VP2 mutant viruses were
significantly lower than that reached by wild-type TMEV
(Figure 3E). This is in contrast to the in vitro response, the
RAG-/- survival after M130L infection induced morbidity at a
lower titer than the wild-type virus, suggesting that the lower level
of recovered infectious virus does not necessarily correlate with
morbidity at these high levels of infection. Since immune escape is predicated on the avoidance of an
immunodominant CD8+ T-cell response we asked whether
infection with VP2 mutant viruses would induce an immune
response that overlaps with the wild type VP2121-130 response. Six
days after intracranial infection with the S125A, M130L and wild-
type TMEV viruses, lymphocytes isolated from the central nervous
system were stained with tetramer to detect H-2Db/VP2121-130
specific CD8+ T-cells. In vitro and in vivo replication of VP2 S125A and VP2
M130L mutant viruses This response was reduced by 48% with the
S125A mutant and 46% by the M130L mutant compared to wild-
type TMEV (Figure 4B), demonstrating that the VP2 mutations
altered the quality and quantity of the CD8+ T-cell response after
infection and that the response induced with VP2 mutants
overlaps with that induced with wild-type sequence. In vitro and in vivo replication of VP2 S125A and VP2
M130L mutant viruses We found that two mutations within the immunodominant viral
epitope from TMEV could generate functional virus particles. To
further characterize these viruses we infected BHK cells to further
understand the virus’ ability to lyse and kill in vitro. Virus stocks of
the S125A and M130L viruses both grew to high titers using in
vitro culture techniques. However, we found that the plaque size
of the S125A mutant virus was significantly smaller compared to
the wild-type virus or to the M130L virus (Figure 3A) consistent
with its reduced ability to kill cells in vitro (Figure 3B). Since these viruses were able to replicate in vitro, we infected
RAG deficient mice with these viruses to determine whether the
mutations alter in vivo growth characteristics or lethality toward To further investigate the potential for changes at positions
within the VP2121-130 sequence we used the protein stability PLOS ONE | www.plosone.org April 2014 | Volume 9 | Issue 4 | e94332 April 2014 | Volume 9 | Issue 4 | e94332 3 Picornavirus Epitope Resistant to Immune Escape PLOS ONE | www.plosone.org
4 April 2014 | Volume 9 | Issue 4 | e94332 Picornavirus Epitope Resistant to Immune Escape Picornavirus Epitope Resistant to Immune Escape Figure 1. Development of TMEV VP2121-130 mutant viruses. (A) Real-time RT-PCR expression analysis of viral VP2 and plasmid neomycin
phosphotransferase from BHK cells transfected with TMEV VP2121-130 mutant cDNA. (B) Western blot analysis of whole cell lysates and viral
supernatants for TMEV viral proteins from cells transfected with wild-type TMEV-DA cDNA for 3 and 7 days. (C) Western blot of whole cell lysates and
supernatants from cells transfected with TMEV VP2121-130 mutant plasmid cDNA (D) Western blot of supernatants derived from cells transfected with
TMEV VP2125 mutant plasmid cDNA. doi:10.1371/journal.pone.0094332.g001 Figure 1. Development of TMEV VP2121-130 mutant viruses. (A) Real-time RT-PCR expression analysis of viral VP2 and plasmid neomycin
phosphotransferase from BHK cells transfected with TMEV VP2121-130 mutant cDNA. (B) Western blot analysis of whole cell lysates and viral
supernatants for TMEV viral proteins from cells transfected with wild-type TMEV-DA cDNA for 3 and 7 days. (C) Western blot of whole cell lysates and
supernatants from cells transfected with TMEV VP2121-130 mutant plasmid cDNA (D) Western blot of supernatants derived from cells transfected with
TMEV VP2125 mutant plasmid cDNA. doi:10.1371/journal.pone.0094332.g001 CD8+ T-cells using the S125A, M130L and wild-type TMEV
viruses. April 2014 | Volume 9 | Issue 4 | e94332 PLOS ONE | www.plosone.org
5
April 2014 | Volume 9 | Issue 4 | e94332 Figure 2. Altered VP2121-130 codon structure does not influence virus fidelity. (A) Thirteen silent nucleotide substitutions representing
changes to 9 of the 10 codons of VP2121-130 were introduced into the TMEV-DA plasmid cDNA by site-directed mutagenesis. (B) Sequence verification
of codon alternate VP2121-130 virus recovered from infected BHK cells. (C) Western blot analysis of virus supernatant recovered from cells infected with
codon alternate TMEV-VP2121-130. doi:10.1371/journal.pone.0094332.g002 Figure 2. Altered VP2121-130 codon structure does not influence virus fidelity. (A) Thirteen silent nucleotide substitutions representing
changes to 9 of the 10 codons of VP2121-130 were introduced into the TMEV-DA plasmid cDNA by site-directed mutagenesis. (B) Sequence verification
of codon alternate VP2121-130 virus recovered from infected BHK cells. (C) Western blot analysis of virus supernatant recovered from cells infected with
codon alternate TMEV-VP2121-130. doi:10.1371/journal.pone.0094332.g002 infected mice that normally fail to control infection with wild-type
TMEV, S125A and M130L virus and assessed virus transcript
levels after 30 days of infection. As suspected wild-type virus was
detected in the CNS with the highest levels being detected in the
spinal cord rather than the brain, consistent with susceptibility to
chronic infection and demyelinating disease. Both VP2 mutant
strains were detectable in the CNS after infection; however the
M130L mutant was detected at lower levels compared to the
S125A mutant or to wild-type TMEV, demonstrating that the
ability of this mutant to persist was attenuated in FVB mice
(Figure 4D). similarity in virus replication observed in vitro and in vivo. Attempts to determine the precise mechanism were impeded by
our inability to generate properly folded VP2-M130L/H-2Db
tetramers after multiple attempts (data not shown), suggesting that
the M130L mutant peptide could not sufficiently stabilize H-2Db
in a tetramer folding reaction. In contrast, the VP2-S125A peptide
with a mutation outside of the major anchor residues was able to
properly fold in vitro. This reagent revealed detectable VP2-
S125A specific CNS infiltrating CD8+ T-cells after infection with
the S125A mutant virus (2468%, n = 4), suggesting that the
S125A mutant peptide stabilizes MHC I in vivo and activates
CD8+ T-cells specific to this peptide, although to a lesser degree
than wild-type infection. Since our semi-quantitative RT-PCR strategy could detect all
three strains of virus, even potential VP2121-130 revertants, we
amplified and sequenced VP2 segments corresponding to the
regions containing the VP2 mutations. Altered CD8 T-cell immunity and viral persistence after
infection with VP2121-130 mutants Previously, we had shown that a perturbation of the VP2121-130
immunodominant response through genetic deletion decreased the
number of CD8+ T-cells that entered the brain after TMEV
infection [18]. Since we were able to identify two VP2121-130
mutant viruses that are able to replicate in mice we asked whether
viral mutants would generate an altered CD8+ T-cell response in
immunocompetent mice that normally control infection. Six days
after intracranial infection, lymphocytes isolated from the central
nervous system were analyzed for the presence and quantity of We found that the CD8+ T-cell response to the M130L mutant
was not as robust as the response to wild-type virus, in spite of the Table 2. I-Mutant predicted DDG values for TMEV VP2121-130 amino acid substitutions. Table 2. I-Mutant predicted DDG values for TMEV VP2121-130 amino acid substitutions. 121
122
123
124
125
126
127
128
129
130
Amino Acid
F
H
A
G
S
L
L
V
F
M
V
22.02
20.49
0.01
21.14
1.03
21.09
20.71
-
21.71
20.91
L
21.47
20.20
20.16
20.15
0.97
-
-
21.12
21.24
20.29
I
20.70
20.88
20.18
20.42
1.00
20.86
20.38
20.54
20.80
20.71
M
20.97
20.96
21.04
21.06
0.33
20.95
20.48
22.16
21.55
-
F
-
20.54
20.26
21.00
0.50
20.76
20.42
22.58
-
20.88
W
0.19
20.43
20.33
20.19
1.11
20.67
20.21
22.03
21.40
20.82
Y
20.16
20.17
20.90
21.24
20.46
21.91
21.02
23.41
21.77
21.24
G
22.07
21.58
22.14
2
21.56
24.31
23.36
25.38
24.29
23.48
A
21.95
21.75
-
21.76
20.20
23.49
22.56
24.05
23.79
22.71
P
21.98
21.38
21.44
22.00
20.69
22.21
21.72
23.37
22.46
21.60
S
21.36
21.14
20.56
22.00
-
22.79
22.02
24.04
23.16
22.03
T
21.07
21.03
20.91
21.87
0.25
23.03
22.59
23.23
23.23
22.02
C
20.80
0.14
20.97
21.38
20.45
22.37
22.16
22.13
22.50
21.61
H
21.51
-
21.45
22.06
20.87
22.63
22.26
23.73
23.28
22.06
R
21.23
21.55
21.45
21.72
20.54
23.01
22.14
23.75
22.83
21.99
K
21.70
21.79
22.02
22.25
20.57
22.86
21.96
24.02
22.70
21.93
Q
21.20
21.36
21.21
21.46
20.20
22.39
21.79
23.19
22.52
21.83
E
20.68
20.97
21.02
20.94
20.17
22.37
21.61
23.09
22.18
21.51
N
21.63
21.77
21.21
21.91
20.44
22.69
21.98
23.99
22.67
21.69
D
21.01
21.36
20.67
21.75
20.50
22.98
22.20
23.42
22.66
21.72
doi:10.1371/journal.pone.0094332.t002 April 2014 | Volume 9 | Issue 4 | e94332 5 Picornavirus Epitope Resistant to Immune Escape Picornavirus Epitope Resistant to Immune Escape All RNA’s detected in
spinal cord tissues demonstrated maintenance of the mutant VP2
strains after 30 days of infection (data not shown), demonstrating
the stability of these mutants in vivo. Since the immunodominant response is critical for determining
viral control after acute infection, we analyzed spinal cord and
brain homogenates from 30 day infected mice for the presence of
persisting virus to determine whether these mice could escape the
immunodominant CD8+ T-cell response and convert to a
susceptible non-controlling phenotype [19]. Mice infected with
S125A, M130L or with wild-type TMEV all exhibited low levels of
viral transcripts in both the spinal cord and brain, suggesting that
the mutations in the VP2121-130 epitope did not dramatically affect
the ability of the host to clear these viruses (Figure 4C). Clearance
of the VP2 mutant viruses by resistant mice was similar to the wild
type, however the mechanism of clearance may be unique since
attenuating mutations within the VP2 region may promote
clearance exclusively through innate immune mechanisms rather
than through cytotoxic T-cell responses [20]. To test this we We analyzed the TMEV specific IgG in C57BL/6 and FVB
mice from these animals to determine whether the VP2 mutations
altered the ability to mount an antibody response against the wild-
type virus. We found that infection with mutant viruses induced
anti-TMEV responses and neutralizing titers against wild-type
virus that were equivalent to the response induced with wild-type
(Figure 4C and D), suggesting that the mutations within the
VP2121-130 region did not alter the neutralizing antibody response
to TMEV. This evidence supports the hypothesis that the
modification of residues within the VP2121-130 region does not April 2014 | Volume 9 | Issue 4 | e94332 April 2014 | Volume 9 | Issue 4 | e94332 PLOS ONE | www.plosone.org 6 Picornavirus Epitope Resistant to Immune Escape Picornavirus Epitope Resistant to Immune Escape weight after infection with TMEV-DA-wt, S125A and M130L (Aver-
ge+STD) (* significant by Two-way ANOVA). (D) Survival analysis of
RAG deficient mice from 3C after infection with wild-type and mutant
viruses (* significant by Kaplan-Meier Log-Rank test). (E) Virus titer of
viruses recovered from CNS tissues at the completion of analyses in C
and D (* significant by ANOVA excluding animals that survived viral
infection). Figure 3. In vitro and in vivo growth of VP2-SD125A and VP2-
MD130L mutant viruses. (A) Plaque diameter of TMEV-DA wild-type
compared to S125A and M130L mutant virus (* significant by ANOVA). (B) Virus killing of BHK cells as measured by MTT assay at titrating
concentrations of virus (* significant by Two-way ANOVA). (C) Body
mass of RAG-deficient mice at specified times after infection with TMEV-
wt, S125A and M130L viruses. (C bottom) Percent change in body appreciably modulate the structures that are recognized by anti-
TMEV antibodies. appreciably modulate the structures that are recognized by anti-
TMEV antibodies. The in vivo immunodominant response to wild-type
TMEV is reactive to the mutant VP2 peptides S125A and
M130L We have previously used VP2121-130 peptide depletion in H-2Db
mice to block the generation of the immunodominant CD8+ T-
cell response to TMEV [19]. To determine whether the response
to wild-type TMEV induces a CD8+ T-cell response that overlaps
with the putative MHC class I epitopes derived from the S125A or
the M130L mutant viruses we used this strategy to probe the
lymphocyte response to TMEV CNS infection. After peptide
administration of a control peptide the immunodominant CD8+ T
cell response to VP2121-130 comprises 50% of the total CD8+ T-
cell response in the CNS and wild-type VP2121-130 peptide depletes
this response by 92% (Figure 5A). The use of the S125A peptide
reduces the response to wild-type virus by 30% and the M130L
peptide depletes the response by 22% (Figure 5A and 5B) and
decreases the overall number of VP2121 reactive CD8+ T-cells
when compared to the no depletion control (Figure 5B). Statistical
significance was not reached using One-way ANOVA when
comparing absolute numbers of VP2121-130 specific CD8+ T-cells
to E749 specific depletion; therefore due to procedural rules
comparisons between the individual VP2 mutant peptides were
not made. Nonetheless, each of the mutant VP2 peptides is able to
modulate the quality of the VP2121 specific CD8+ T-cell response
to intracerebral infection with wild-type virus. Picornavirus Epitope Resistant to Immune Escape Picornavirus Epitope Resistant to Immune Escape Figure 4. CD8+ T-cell response and virus RNA levels in resistant
and susceptible mice after intracranial infection with TMEV-wt,
S125A and M130L viruses. (A) CD45+ cells isolated from the central
nervous system of VP2 mutant infected C57BL/6 mice were analyzed for
the presence of CD8+ cells. (a significant compared to M130L by
ANOVA, * significant compared to TMEV-wt by ANOVA). Figure is an
experiment replicated 3 times with 3-5 animals per group. (B) CNS
infiltrating lymphocytes were stained with H-2Db/VP2121 or H-2Db/E749
tetramers and analyzed by flow cytometry to determine the percent of
the CD8+ T-cell population that is positive for the immunodominant VP2121 epitope (* significant compared to S125A and M130L by
ANOVA). A representative example of 2 experiments using 3-5 animals
per group. (C) Semi-quantitative RT-PCR analysis of RNA isolated
by C57BL/6 mice infected with TMEV-wt, S125A or M130L mutants
(n = 3/group). No significant differences in viral transcripts were
detected between the groups. IgG specific responses to wild-
type TMEV in C57BL/6 mice infected for 30 days. No significant
differences were detected by ELISA between S125, M130L or pciDA
(wild-type TMEV) (D) The same RT-PCR analysis in C on the susceptible
strain FVB (* significant compared to TMEV-wild type by ANOVA, n = 5/
group). TMEV-specific IgG response and antibody neutralization to wild-
type TMEV in FVB mice infected for 30 days. No significant differences
were detected by ELISA or neutralization assay between S125, M130L or
pciDA (wild-type TMEV). vaccine potential by preventing the emergence of antigen loss
variants. The goal of this work was to identify virus mutations that could
be used to escape a CD8+ T-cell response and to better
understand the characteristics of strong virus antigens that are
Figure 4. CD8+ T-cell response and virus RNA levels in resistant
and susceptible mice after intracranial infection with TMEV-wt,
S125A and M130L viruses. (A) CD45+ cells isolated from the central
nervous system of VP2 mutant infected C57BL/6 mice were analyzed for
the presence of CD8+ cells. (a significant compared to M130L by
ANOVA, * significant compared to TMEV-wt by ANOVA). Figure is an
experiment replicated 3 times with 3-5 animals per group. (B) CNS
infiltrating lymphocytes were stained with H-2Db/VP2121 or H-2Db/E749
tetramers and analyzed by flow cytometry to determine the percent of
the CD8+ T-cell population that is positive for the immunodominant
ANOVA). Discussion Viral interactions with strong CD8+ T-cell responses have been
shown to drive the diversity of the RNA viruses HIV-1 and
hepatitis C virus [21,22]. Of interest, the immunodominant CD8+
T-cell response to the picornavirus TMEV targets known
sequences within the VP2 capsid protein, however no CD8+ T-
cell escape mutations have been documented to this response. This
protein has higher sequence homology among members of the
cardiovirus genus when compared to capsid protein VP1 [23],
which is less conserved and has more documented functional
mutations [24,25,26], suggesting it has a greater potential for
immune escape. However, the forces that drive these mutations
may differ from those that drive variation in other viral proteins. The B-cell response targets the outer surfaces of most viruses,
consistent with this, the primary neutralizing antibody response
against TMEV targets surface exposed residues of VP1 [27,28]. In
contrast, the protective CD8+ T cell response targets a sequence in
VP2 that contains only a partial surface exposed loop and is the
major constituent of a b strand buried within the structure of the
VP2 protein [29], demonstrating that the CD8+ T-cell response
targets a sequence that is likely to be important for protein-protein
interactions that affect virus assembly. Although prediction
algorithms for the selection of MHC binding peptides are based
on the binding of peptide fragments to MHC, our findings suggest
that the context of the peptide within the unprocessed antigen or
within an assembled virus should also be considered and that
highly conserved amino acid stretches may provide enhanced Figure 3. In vitro and in vivo growth of VP2-SD125A and VP2-
MD130L mutant viruses. (A) Plaque diameter of TMEV-DA wild-type
compared to S125A and M130L mutant virus (* significant by ANOVA). (B) Virus killing of BHK cells as measured by MTT assay at titrating
concentrations of virus (* significant by Two-way ANOVA). (C) Body
mass of RAG-deficient mice at specified times after infection with TMEV-
wt, S125A and M130L viruses. (C bottom) Percent change in body PLOS ONE | www.plosone.org April 2014 | Volume 9 | Issue 4 | e94332 7 Picornavirus Epitope Resistant to Immune Escape A representative example of 2 experiments using 3-5 animals
per group. (C) Semi-quantitative RT-PCR analysis of RNA isolated
by C57BL/6 mice infected with TMEV-wt, S125A or M130L mutants
(n = 3/group). No significant differences in viral transcripts were
detected between the groups. IgG specific responses to wild-
type TMEV in C57BL/6 mice infected for 30 days. No significant
differences were detected by ELISA between S125, M130L or pciDA
(wild-type TMEV) (D) The same RT-PCR analysis in C on the susceptible
strain FVB (* significant compared to TMEV-wild type by ANOVA, n = 5/
group). TMEV-specific IgG response and antibody neutralization to wild-
type TMEV in FVB mice infected for 30 days. No significant differences
were detected by ELISA or neutralization assay between S125, M130L or
pciDA (wild-type TMEV). doi:10.1371/journal.pone.0094332.g004
Figure 5. Peptide depletion reveals an overlap in the wild-type
VP2121-130 CD8+ T cell response after infection with S125A and
M130L mutant viruses. (A) Mice were pre-depleted with control E749,
wild-type VP2121-130, VP2-S125A and VP2-M130L peptide prior to
intracranial infection with wild-type virus. CNS infiltrating lymphocytes
were analyzed by flow cytometry to determine the percentage and
number of CD8+ T-cells specific for the immunodominant epitope after
peptide depletion. Data are representative examples of three individual
mice per group. (B) Percent and absolute number of H-2Db/VP2121+
CD8 T-cells derived from infected CNS tissue including a no peptide
group (* significant by ANOVA). doi:10.1371/journal.pone.0094332.g005
|
|
|
| y
doi:10.1371/journal.pone.0094332.g004 vaccine potential by preventing the emergence of antigen loss
variants. The goal of this work was to identify virus mutations that could
be used to escape a CD8+ T-cell response and to better
understand the characteristics of strong virus antigens that are Figure 5. Peptide depletion reveals an overlap in the wild-type
VP2121-130 CD8+ T cell response after infection with S125A and
M130L mutant viruses. (A) Mice were pre-depleted with control E749,
wild-type VP2121-130, VP2-S125A and VP2-M130L peptide prior to
intracranial infection with wild-type virus. CNS infiltrating lymphocytes
were analyzed by flow cytometry to determine the percentage and
number of CD8+ T-cells specific for the immunodominant epitope after
peptide depletion. Data are representative examples of three individual
mice per group. (B) Percent and absolute number of H-2Db/VP2121+
CD8 T-cells derived from infected CNS tissue including a no peptide
group (* significant by ANOVA). doi:10.1371/journal.pone.0094332.g005 Figure 4. Picornavirus Epitope Resistant to Immune Escape Further, the use of picornavirus vectors may provide an
advantage in that their relatively small size may allow for the
rational design of escape vectors that can be used to efficiently
target desired immune responses. Dominant CD8+ T-cell responses occur after infection or
immunization with a variety of antigens, including pathogens that
vary considerably in size, nucleic acid composition as well as
cellular tropism, yet the immune system tends to focus on a short
amino acid sequence derived from these antigens [39]. Although
peptide binding and stabilization of MHC class I is necessary for
the development of this response, it is not necessarily a predictor of
an individual’s ability to control infection, since dominant CD8+
T-cell responses can occur in the absence of viral clearance
[40,41,42]. The distinction between immunodominance and the
ability to clear an infection is important, since targeting virus
antigens subjects them to immune selection and pressures to evade
detection
by T-cells,
which
could
lead
to evasion
of on
immunodominant response without consequence or evasion of a
super response that allows viral persistence. In spite of the
potential for immune escape, certain individuals within popula-
tions retain the ability to target virus sequences that lead to viral
clearance via the CD8+ T-cell response, suggesting that the
response is impervious to change and can broadly recognize
variation in virus derived MHC class I bound peptides [43] or that
the sequence provides a necessary function for the virus and resists
change. In spite of the numerous VP2121-130 mutations that promote an
attenuated virus phenotype shown here and by others [31], the
M130L mutant was the only one that replicated as efficiently as
the wild-type virus after infection in vitro and in RAG deficient
animals and similar to wild-type TMEV its clearance was
promoted in H-2b mice. In contrast to wild-type, the M130L
mutant was cleared more efficiently in FVB H-2q mice. A strain
that is susceptible to chronic infection and demyelination after
infection
with
wild-type
TMEV
[11]. Although
a
precise
mechanism for this difference was not identified, we hypothesize
that the emergence of viruses with comparable fitness to wild-type
virus may consequently be recognized by a unique MHC within
the population, thus promoting viral clearance. In this case, the H-
2Dq, H-2Kq or H-2Lq alleles of FVB mice may have promoted
viral clearance through the emergence of new epitopes within the
M130L virus. Picornavirus Epitope Resistant to Immune Escape Picornavirus Epitope Resistant to Immune Escape targeted after a primary virus infection. The disruption of CD8+
T-cell activation using this approach can be accomplished using
several strategies. The approaches used can either be designed to
inhibit binding of the specific virus epitope to MHC class I
through modification of MHC binding residues or to introduce
mutations that inhibit interactions with the H-2Db/VP2121-130
responsive T-cells. Although attempts to characterize these peptide
residues as functionally distinct have been documented [30] it is
unclear whether residues that interact with the T-cell receptor are
mutually exclusive from those that bind to MHC. Previously,
Myoung et. al. [31] specifically targeted the carboxy-terminal H-
2Db anchor residue at position 130 of VP2 as a means of
destabilizing interactions of the antigenic peptide with MHC I. Using this strategy, this group found that only rare mutations at
position 130 of VP2 generated infectious particles and that only
one infected equivalently in vivo, the M130L mutant. In addition
to the M130L mutation, we found that only one substitution at
position 125 yielded a virus that could assemble in vitro. Although
the contribution of this amino acid position to the induction of the
immunodominant VP2121-130 response is not known, an absent
canonical asparagine in the fifth position of nonamer H-2Db
binding peptides is thought to be an anchor residue [30]. The non-
canonical nature of the decamer VP2121-130 peptide calls into
question the precise contribution amino acids at position 125 play
in binding to MHC or to interactions with the T-cell receptor [32]. We find that VP2-S125A mutant peptides can assemble with H-
2Db molecules, suggesting that this peptide can stabilize H-2Db
and induce responses that overlap with the wild-type peptide. The
response to this peptide was decreased however, suggesting that
this change primarily altered T-cell interactions with the peptide
which may not be as robust as those involving the wild-type
peptide. found that antigen encoding TMEV vaccines can effectively be
used as immunotherapy for the treatment of melanoma and breast
cancer in models of these diseases [20,36]. However, as with other
live vaccine vectors the endogenous response to the virus often
competes with the desired response against the vaccine antigen,
limiting the usefulness of live virus vaccines [37,38]. Identifying
strategies for evading these responses in a variety of vectors will be
useful for improving the effective immune response against the
target. Picornavirus Epitope Resistant to Immune Escape Of interest, Vilyuisk virus was previously identified
as a divergent TMEV strain [33] and contains the M130L
mutation within its VP2 capsid, providing a natural variant to
TMEV within the VP2121-130 region. Humans have been
identified as a host for Vilyuisk virus [34], however this virus
may represent a natural CD8+ T-cell escape variant of TMEV
since replication of this virus in other rodent species has been
observed [33,35]. Although these viruses are similar, genomic
differences exist outside of the VP2121-130 region, suggesting that
additional factors outside of CD8+ T-cell immunity may also drive
their evolution. Additional controlled studies using recombinant
TMEV viruses and transgenic mice may more precisely determine
the role CD8+ T-cells and other factors play in driving virus
diversity. The findings in this report provide further detail into how
superior virus controllers can occur in infected populations and
how both host and pathogen genetics play a role in determining
the outcome of infection with emerging pathogens. Previously, we
have shown that a virus controlling phenotype depends on an
underappreciated function of MHC that goes beyond its ability to
present peptides. We found that host regulation of MHC class I
genes can have a profound impact on the ability to generate this
response [7]. Here, we explored the contribution that virus
genetics plays in the generation of this response. We find that the
VP2121-130 epitope is crucial to virus fidelity and that this amino
acid sequence is critical to virus assembly. Further, when rare virus
mutants emerged, they were unable to avoid detection by CD8+
T-cells activated with wild-type virus, revealing that an immune
escape virus can be controlled by a cross-reactive response or be
forced to extinction through a reduction in its overall fidelity. These findings provide further insight into how an effective
cellular immune response is generated and will have consequences
for better understanding the antigens targeted by CD8+ T cells
that effectively control virus infection. Picornavirus Epitope Resistant to Immune Escape CD8+ T-cell response and virus RNA levels in resistant
and susceptible mice after intracranial infection with TMEV-wt,
S125A and M130L viruses. (A) CD45+ cells isolated from the central
nervous system of VP2 mutant infected C57BL/6 mice were analyzed for
the presence of CD8+ cells. (a significant compared to M130L by
ANOVA, * significant compared to TMEV-wt by ANOVA). Figure is an
experiment replicated 3 times with 3-5 animals per group. (B) CNS
infiltrating lymphocytes were stained with H-2Db/VP2121 or H-2Db/E749
tetramers and analyzed by flow cytometry to determine the percent of Figure 5. Peptide depletion reveals an overlap in the wild-type
VP2121-130 CD8+ T cell response after infection with S125A and
M130L mutant viruses. (A) Mice were pre-depleted with control E749,
wild-type VP2121-130, VP2-S125A and VP2-M130L peptide prior to
intracranial infection with wild-type virus. CNS infiltrating lymphocytes
were analyzed by flow cytometry to determine the percentage and
number of CD8+ T-cells specific for the immunodominant epitope after
peptide depletion. Data are representative examples of three individual
mice per group. (B) Percent and absolute number of H-2Db/VP2121+
CD8 T-cells derived from infected CNS tissue including a no peptide
group (* significant by ANOVA). doi:10.1371/journal.pone.0094332.g005 Figure 4. CD8+ T-cell response and virus RNA levels in resistant
and susceptible mice after intracranial infection with TMEV-wt,
S125A and M130L viruses. (A) CD45+ cells isolated from the central
nervous system of VP2 mutant infected C57BL/6 mice were analyzed for
the presence of CD8+ cells. (a significant compared to M130L by
ANOVA, * significant compared to TMEV-wt by ANOVA). Figure is an
experiment replicated 3 times with 3-5 animals per group. (B) CNS
infiltrating lymphocytes were stained with H-2Db/VP2121 or H-2Db/E749
tetramers and analyzed by flow cytometry to determine the percent of
the CD8+ T-cell population that is positive for the immunodominant April 2014 | Volume 9 | Issue 4 | e94332 PLOS ONE | www.plosone.org 8 Mice, cell lines and reagents PE labeled tetramers for H-2Db/
E749 were either purchased from Beckman Coulter (Brea, CA). PE
labeled H-2Db/VP2121 tetramers were kindly provided by the
NIH Tetramer Core at Emory University (Atlanta, GA). APC
labeled H-2Db/VP2121 tetramers were provided by Dr. Aaron
Johnson. Rabbit anti-TMEV polyclonal serum used for Western
blots was provided by Dr. Moses Rodriguez (Mayo Clinic,
Rochester, MN). PerCP labeled anti-CD45 and PE-Cy7 or allophycocyanin
(APC)
labeled
anti-mouse
CD8 were purchased
from BD
Biosciences (San Diego, CA). PE labeled tetramers for H-2Db/
E749 were either purchased from Beckman Coulter (Brea, CA). PE
labeled H-2Db/VP2121 tetramers were kindly provided by the
NIH Tetramer Core at Emory University (Atlanta, GA). APC
labeled H-2Db/VP2121 tetramers were provided by Dr. Aaron
Johnson. Rabbit anti-TMEV polyclonal serum used for Western
blots was provided by Dr. Moses Rodriguez (Mayo Clinic,
Rochester, MN). Virology y
Plaque assays of viral supernatants or of homogenized CNS
tissues were performed on L929 cells in 12 well plates as described
previously [48]. Plates were scanned using an Epson Perfection
V600 flatbed scanner (Long Beach, CA), images were analyzed
using the measuring tool in the ImageJ software [49] to assess the
mean diameter of the mutant and wild-type viruses. Virus RNA
isolated from the brains and spinal cords of infected mice were
assessed by semi-quantitative RT-PCR as described previously
[20]. RNA isolated from FVB mice infected with wild-type TMEV
or with VP2 mutant viruses for 30 days was used to verify the
presence of the infecting virus by sequence analysis of RT-PCR
amplicons across the mutation site. TMEV specific ELISA and neutralization
TMEV specific ELISA was performed as d TMEV specific ELISA was performed as described previously
[18]. TMEV neutralization assays were performed as described
previously [50]. Briefly, TMEV immune serum was incubated
with at least 100 PFU of wild-type TMEV for one hour prior to
plating on L929 cell monolayers for plaque assay. Percent
neutralization was calculated using the number of plaques
remaining compared to non-immune serum ((1 – (PFU immune
serum/PFU non-immune serum)) x 100%). To identify potential mutations that could be introduced into
the VP2121-130 region of TMEV, we used I-Mutant2.0, a web
server for the automatic prediction of protein stability change
upon
single-site
mutation
(http://gpcr2.biocomp.unibo.it/I-
Mutant.htm). This tool was trained on data derived from
ProTherm [16], a database of experimental data on protein
mutations. We used the known crystal structure data from TMEV
(1TME) as input for predicting whether mutations within this
region are stabilizing or destabilizing. The results are expressed as
the predicted DDG, the unfolding Gibbs free energy of the
mutated protein minus the unfolding Gibbs free energy of the
wild-type (Kcal/mol). Mice, cell lines and reagents C57BL/6 mice were purchased from Jackson Laboratory (Bar
Harbor, ME). FVB and FVB RAG-/- mice were kindly provided
by Dr. Moses Rodriguez (Mayo Clinic, Rochester, MN). Mice
were infected intracerebrally (2x104 PFU) with wild-type or
modified TMEV viruses. Intracerebrally infected FVB RAG-/-
mice were monitored daily and weighed every other day to
determine morbidity, animals that appeared severely moribund or
that had lost .30% of their body mass were sacrificed as required. All animals were housed in the Mayo Clinic Department of
Comparative Medicine and cared for according to institutional
and NIH guidelines for animals use and care. gy
To generate infectious virus, we transfected 30 mg of vector
DNA that contained the wild-type or modified virus sequences
into 107 BHK cells using electroporation. Media was changed on
day 1 and 4 after transfection and cells were monitored daily for
signs of cytopathic effect. By day 7, the generation of productive
virus infection was noted by the presence of mostly rounded cells
floating in media with few cells remaining adherent. To verify the
presence of processed viral protein products whole cell lysates and
supernatant were collected separately and analyzed by Western
blot to verify the presence of TMEV in either or both using a
polyclonal antibody that recognizes virus capsid proteins [47]. Supernatants were titered by plaque assay using L929 cells prior to
use in infection experiments. Mutant virus sequences derived from
supernatants or mouse tissues were verified by amplification of
virus RNA using RT-PCR with primers that flank the VP2121-130
coding region (Forward 59-CTTTCTCCCACATCCGCATT-
CCTCTC and Reverse 59-GGTCCGGCTATCGTAGCGG-
TAACCAG). The wild-type VP2121-130 (FHAGSLLVFM), S125A (FHA-
GALLVFM), M130L (FHAGSLLVFL) and E749-57 (RAHY-
NIVTF) peptides were manufactured to 95% purity by Elim
Biopharm
(Hayward,
CA). The
VP2121-130
peptide
is
the
immunodominant MHC class I epitope derived from the VP2
capsid region of TMEV that binds to mouse H-2Db. S125A and
M130L are variant peptides derived from the same VP2 region of
mutant viruses. The E749-57 peptide is an irrelevant control H-2Db
binding peptide derived from human papillomavirus E7 protein
[44]. BHK-21 and L929 cell lines (American Type Culture Collec-
tion, Manassas, VA) were maintained in DMEM (GIBCO
Invitrogen, Grand Island, NY) containing 10% fetal bovine serum
(GIBCO Invitrogen). MTT assays for cell death were performed
on BHK-21 cells as described [45]. PerCP labeled anti-CD45 and PE-Cy7 or allophycocyanin
(APC)
labeled
anti-mouse
CD8 were purchased
from BD
Biosciences (San Diego, CA). Ethics statement This study was carried out in strict accordance with the
recommendations in the Guide for the Care and Use of
Laboratory Animals of the National Institutes of Health. The
protocols were approved by the Institutional Animal Care and Use
Committee of Mayo Clinic (#A43310). All mice were anesthetized
with isoflurane prior to intracranial virus infection. The identification of these antigenic variants of the VP2121-130
sequence may have further implication for the design and use of
attenuated live virus vaccine vectors for immunotherapy. We have April 2014 | Volume 9 | Issue 4 | e94332 PLOS ONE | www.plosone.org April 2014 | Volume 9 | Issue 4 | e94332 9 Picornavirus Epitope Resistant to Immune Escape Peptide depletion of virus specific CD8+ T-cells To
deplete
antigen
specific
CD8+
T-cell
responses
we
intravenously administered super physiologic doses of VP2 wild-
type and mutant peptides prior to virus infection, a method
previously described to ameliorate this response [19]. Briefly, one
day prior to infection with wild-type Daniel’s strain of TMEV, we
intravenously administered 0.1 mg of VP2121-130, S125A, M130L
or E749-57 peptide three times with 4 hours rest between injections. On the following day mice were injected intracranially with
26104 PFU of wild-type TMEV. On day six after infection central Dr. Moses Rodriguez (Mayo Clinic, Rochester, MN). Homology mapping and virus stability prediction We used the homology mapping tool found on the Immune
Epitope Database website (http://tools.immuneepitope.org/esm). This tool is designed to identify homologous linear and confor-
mational epitopes from known 3 dimensional structures within the
Protein Data Bank (http://www.rcsb.org). We used the PDB
structure for the Daniel’s strain of TMEV (1TME) to search for
homologous sequences to the immunodominant epitope region
VP2121-130. Picornavirus Epitope Resistant to Immune Escape coding sequence for the Daniel’s strain of TMEV [46]. VP2
mutant TMEV vectors with modifications in the sequence
encoding the VP2121-130 region were generated by using site-
directed mutagenesis according to the manufacturer’s protocol
(QuikChange II Site-Directed Mutagenesis Kit, Agilent, Santa
Clara, CA). We introduced unique nucleotide sequences that
encoded both silent and novel mutations within this region. All
custom made oligonucleotides were manufactured by Integrated
DNA Technologies (Carolville, IA). All virus encoding plasmids
were verified by sequencing at the Mayo Clinic Advanced
Genomics Technology Center. Mice, cell lines and reagents Mice, cell lines and reagents References Pavelko KD, Mendez-Fernandez Y, Bell MP, Hansen MJ, Johnson AJ, et al. (2012) Nonequivalence of classical MHC class I loci in ability to direct effective
antiviral immunity. PLoS pathogens 8: e1002541. 25. McCright IJ, Tsunoda I, Libbey JE, Fujinami RS (2002) Mutation in loop I of
VP1 of Theiler’s virus delays viral RNA release into cells and enhances antibody-
mediated neutralization: a mechanism for the failure of persistence by the
mutant virus. Journal of neurovirology 8: 100–110. 8. Brahic M, Bureau JF, Michiels T (2005) The genetics of the persistent infection
and demyelinating disease caused by Theiler’s virus. Annual review of
microbiology 59: 279–298. gy
9. Rodriguez M, David CS (1985) Demyelination induced by Theiler’s virus:
influence of the H-2 haplotype. Journal of immunology 135: 2145–2148. 26. Lin X, Sato S, Patick AK, Pease LR, Roos RP, et al. (1998) Molecular
characterization of a nondemyelinating variant of Daniel’s strain of Theiler’s
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1262–1269. 10. Rodriguez M, Leibowitz J, David CS (1986) Susceptibility to Theiler’s virus-
induced demyelination. Mapping of the gene within the H-2D region. The
Journal of experimental medicine 163: 620–631. 27. Sato S, Zhang L, Kim J, Jakob J, Grant RA, et al. (1996) A neutralization site of
DA strain of Theiler’s murine encephalomyelitis virus important for disease
phenotype. Virology 226: 327–337. 11. Azoulay A, Brahic M, Bureau JF (1994) FVB mice transgenic for the H-2Db
gene become resistant to persistent infection by Theiler’s virus. Journal of
virology 68: 4049–4052. 28. Jnaoui K, Michiels T (1998) Adaptation of Theiler’s virus to L929 cells:
mutations in the putative receptor binding site on the capsid map to
neutralization sites and modulate viral persistence. Virology 244: 397–404. 12. Nicholson SM, Peterson JD, Miller SD, Wang K, Dal Canto MC, et al. (1994)
BALB/c substrain differences in susceptibility to Theiler’s murine encephalo-
myelitis virus-induced demyelinating disease. Journal of neuroimmunology 52:
19–24. 29. Grant RA, Filman DJ, Fujinami RS, Icenogle JP, Hogle JM (1992) Three-
dimensional structure of Theiler virus. Proceedings of the National Academy of
Sciences of the United States of America 89: 2061–2065. 13. Lyman MA, Lee HG, Kang BS, Kang HK, Kim BS (2002) Capsid-specific
cytotoxic T lymphocytes recognize three distinct H-2D(b)-restricted regions of
the BeAn strain of Theiler’s virus and exhibit different cytokine profiles. Journal
of virology 76: 3125–3134. 30. References 1. Apanius V, Penn D, Slev PR, Ruff LR, Potts WK (1997) The nature of selection
on the major histocompatibility complex. Critical reviews in immunology 17:
179–224. 1. Apanius V, Penn D, Slev PR, Ruff LR, Potts WK (1997) The nature of selection
on the major histocompatibility complex. Critical reviews in immunology 17:
179–224. response against a single immunodominant viral peptide. European journal of
immunology 33: 2501–2510. response against a single immunodominant viral peptide. European journal of
immunology 33: 2501–2510. 20. Pavelko KD, Bell MP, Karyampudi L, Hansen MJ, Allen KS, et al. (2013) The
epitope integration site for vaccine antigens determines virus control while
maintaining efficacy in an engineered cancer vaccine. Molecular therapy: the
journal of the American Society of Gene Therapy 21: 1087–1095. 2. Nikolich-Zugich J, Fremont DH, Miley MJ, Messaoudi I (2004) The role of mhc
polymorphism in anti-microbial resistance. Microbes and infection/Institut
Pasteur 6: 501–512. 3. Lienert K, Parham P (1996) Evolution of MHC class I genes in higher primates. Immunology and cell biology 74: 349–356. 21. Lewis MJ, Dagarag M, Khan B, Ali A, Yang OO (2012) Partial escape of HIV-1
from cytotoxic T lymphocytes during chronic infection. Journal of virology 86:
7459–7463. 4. Lambotte O, Boufassa F, Madec Y, Nguyen A, Goujard C, et al. (2005) HIV
controllers: a homogeneous group of HIV-1-infected patients with spontaneous
control of viral replication. Clinical infectious diseases: an official publication of
the Infectious Diseases Society of America 41: 1053–1056. 22. Ruhl M, Chhatwal P, Strathmann H, Kuntzen T, Bankwitz D, et al. (2012)
Escape from a dominant HLA-B*15-restricted CD8+ T cell response against
hepatitis C virus requires compensatory mutations outside the epitope. Journal
of virology 86: 991–1000. y
5. Bowen DG, Walker CM (2005) Adaptive immune responses in acute and
chronic hepatitis C virus infection. Nature 436: 946-952. 23. Blinkova O, Kapoor A, Victoria J, Jones M, Wolfe N, et al. (2009) Cardioviruses
are genetically diverse and cause common enteric infections in South Asian
children. Journal of virology 83: 4631–4641. 6. Hill AV, Allsopp CE, Kwiatkowski D, Anstey NM, Twumasi P, et al. (1991)
Common west African HLA antigens are associated with protection from severe
malaria. Nature 352: 595–600. 24. Zurbriggen A, Hogle JM, Fujinami RS (1989) Alteration of amino acid 101
within capsid protein VP-1 changes the pathogenicity of Theiler’s murine
encephalomyelitis virus. The Journal of experimental medicine 170: 2037–2049. 7. References Falk K, Rotzschke O, Deres K, Metzger J, Jung G, et al. (1991) Identification of
naturally processed viral nonapeptides allows their quantification in infected cells
and suggests an allele-specific T cell epitope forecast. The Journal of
experimental medicine 174: 425–434. 14. Johnson AJ, Njenga MK, Hansen MJ, Kuhns ST, Chen L, et al. (1999)
Prevalent class I-restricted T-cell response to the Theiler’s virus epitope
Db:VP2121-130 in the absence of endogenous CD4 help, tumor necrosis factor
alpha, gamma interferon, perforin, or costimulation through CD28. Journal of
virology 73: 3702–3708. 31. Myoung J, Hou W, Kang B, Lyman MA, Kang JA, et al. (2007) The
immunodominant CD8+ T cell epitope region of Theiler’s virus in resistant
C57BL/6 mice is critical for anti-viral immune responses, viral persistence, and
binding to the host cells. Virology 360: 159–171. 15. Lee WM, Monroe SS, Rueckert RR (1993) Role of maturation cleavage in
infectivity of picornaviruses: activation of an infectosome. Journal of virology 67:
2110–2122. 32. Borson ND, Paul C, Lin X, Nevala WK, Strausbauch MA, et al. (1997) Brain-
infiltrating cytolytic T lymphocytes specific for Theiler’s virus recognize H2Db
molecules complexed with a viral VP2 peptide lacking a consensus anchor
residue. Journal of virology 71: 5244–5250. 16. Bava KA, Gromiha MM, Uedaira H, Kitajima K, Sarai A (2004) ProTherm,
version 4.0: thermodynamic database for proteins and mutants. Nucleic acids
research 32: D120–121. J
gy
33. Pritchard AE, Strom T, Lipton HL (1992) Nucleotide sequence identifies
Vilyuisk virus as a divergent Theiler’s virus. Virology 191: 469–472. 17. Lobert PE, Escriou N, Ruelle J, Michiels T (1999) A coding RNA sequence acts
as a replication signal in cardioviruses. Proceedings of the National Academy of
Sciences of the United States of America 96: 11560–11565. 34. Lipton HL (2008) Human Vilyuisk encephalitis. Reviews in medical virology 18:
347–352. 35. Liang Z, Kumar AS, Jones MS, Knowles NJ, Lipton HL (2008) Phylogenetic
analysis of the species Theilovirus: emerging murine and human pathogens. Journal of virology 82: 11545–11554. 18. Pavelko KD, Pease LR, David CS, Rodriguez M (2007) Genetic deletion of a
single immunodominant T-cell response confers susceptibility to virus-induced
demyelination. Brain pathology 17: 184–196. 36. Pavelko KD, Girtman MA, Mitsunaga Y, Mendez-Fernandez YV, Bell MP,
et al. (2011) Theiler’s murine encephalomyelitis virus as a vaccine candidate for
immunotherapy. PloS one 6: e20217. y
p
gy
19. We thank Kathleen S. Allen for expert technical assistance. We thank Kathleen S. Allen for expert technical assistance. Isolation CNS infiltrating lymphocyte Brain and spinal cord infiltrating lymphocytes from TMEV
infected mice were recovered using previously described tech-
niques and were analyzed by flow cytometry [51]. Absolute
quantitation was calculated using CountBright Absolute counting
beads (Life Technologies, Grand Isle, NY). Samples were analyzed
on a BD LSR II flow cytometer (BD Biosciences, San Jose, CA)
and analyzed using FloJo software (Ashland, OR). Single color
stained splenocytes were used as compensation controls. Generation of TMEV VP2121-130 mutant viruses Generation of TMEV VP2121-130 mutant viruses Generation of TMEV VP2121-130 mutant viruses
To generate mutant VP2 viruses we modified a cDNA vector
described previously [20]. This vector contains the full length To generate mutant VP2 viruses we modified a cDNA vector
described previously [20]. This vector contains the full length PLOS ONE | www.plosone.org April 2014 | Volume 9 | Issue 4 | e94332 10 Picornavirus Epitope Resistant to Immune Escape nervous system (CNS) tissues were harvested before isolation of
tissue infiltrating lymphocytes. by Dunn’s method for non-parametric data. The Kaplan-Meier
survival analysis was performed by the Log-Rank method with
pairwise comparisons analyzed by the Holm-Sidak method. Significance was determined by p,0.05 for all tests. Statistical
analysis was performed using SigmaPlot for Windows Version 11.0
software (Systat Software, San Jose, CA). Statistics All data were analyzed by One-way or Two-way ANOVA. Multiple comparisons between groups were performed using the
Student-Newman-Keuls method for normally distributed data and Author Contributions Conceived and designed the experiments: KDP. Performed the experi-
ments: MPB DNR KDP. Analyzed the data: MPB KDP. Contributed
reagents/materials/analysis tools: MPB DNR AJJ KDP. Wrote the paper:
KDP. Picornavirus Epitope Resistant to Immune Escape protects against a tumor induced by human papillomavirus type 16-transformed
cells. European journal of immunology 23: 2242–2249. 37. Smith CL, Mirza F, Pasquetto V, Tscharke DC, Palmowski MJ, et al. (2005)
Immunodominance of poxviral-specific CTL in a human trial of recombinant-
modified vaccinia Ankara. Journal of immunology 175: 8431–8437. protects against a tumor induced by human papillomavirus type 16-transformed
cells. European journal of immunology 23: 2242–2249. 45. Pavelko KD, Howe CL, Drescher KM, Gamez JD, Johnson AJ, et al. (2003)
Interleukin-6 protects anterior horn neurons from lethal virus-induced injury. J Neurosci 23: 481–492. 38. Schirmbeck R, Reimann J, Kochanek S, Kreppel F (2008) The immunogenicity
of adenovirus vectors limits the multispecificity of CD8 T-cell responses to
vector-encoded transgenic antigens. Molecular therapy: the journal of the
American Society of Gene Therapy 16: 1609–1616. J
46. Roos RP, Stein S, Ohara Y, Fu JL, Semler BL (1989) Infectious cDNA clones of
the DA strain of Theiler’s murine encephalomyelitis virus. J Virol 63: 5492–
5496. y
py
39. Yewdell JW (2006) Confronting complexity: real-world immunodominance in
antiviral CD8+ T cell responses. Immunity 25: 533–543. 47. Njenga MK, Pavelko KD, Baisch J, Lin X, David C, et al. (1996) Theiler’s virus
persistence and demyelination in major histocompatibility complex class II-
deficient mice. Journal of virology 70: 1729–1737. 40. Hislop AD, Taylor GS, Sauce D, Rickinson AB (2007) Cellular responses to viral
infection in humans: lessons from Epstein-Barr virus. Annual review of
immunology 25: 587–617. 48. Rodriguez M, Leibowitz JL, Powell HC, Lampert PW (1983) Neonatal infection
with the Daniels strain of Theiler’s murine encephalomyelitis virus. Laboratory
investigation; a journal of technical methods and pathology 49: 672–679. 41. Obar JJ, Fuse S, Leung EK, Bellfy SC, Usherwood EJ (2006) Gammaherpes-
virus persistence alters key CD8 T-cell memory characteristics and enhances
antiviral protection. Journal of virology 80: 8303–8315. 49. Schneider CA, Rasband WS, Eliceiri KW (2012) NIH Image to ImageJ: 25
years of image analysis. Nature methods 9: 671–675. 42. Farrington LA, Smith TA, Grey F, Hill AB, Snyder CM (2013) Competition for
antigen at the level of the APC is a major determinant of immunodominance
during memory inflation in murine cytomegalovirus infection. Journal of
immunology 190: 3410–3416. 50. Pavelko KD, Drescher KM, McGavern DB, David CS, Rodriguez M (2000)
HLA-DQ polymorphism influences progression of demyelination and neurologic
deficits in a viral model of multiple sclerosis. Molecular and cellular
neurosciences 15: 495–509. gy
43. References Mendez-Fernandez YV, Johnson AJ, Rodriguez M, Pease LR (2003) Clearance
of Theiler’s virus infection depends on the ability to generate a CD8+ T cell April 2014 | Volume 9 | Issue 4 | e94332 April 2014 | Volume 9 | Issue 4 | e94332 PLOS ONE | www.plosone.org 11 Picornavirus Epitope Resistant to Immune Escape Valkenburg SA, Gras S, Guillonneau C, La Gruta NL, Thomas PG, et al. (2010)
Protective efficacy of cross-reactive CD8+ T cells recognising mutant viral
epitopes depends on peptide-MHC-I structural interactions and T cell activation
threshold. PLoS pathogens 6: e1001039. 51. Deb C, Lafrance-Corey RG, Schmalstieg WF, Sauer BM, Wang H, et al. (2010)
CD8+ T cells cause disability and axon loss in a mouse model of multiple
sclerosis. PloS one 5: e12478. 44. Feltkamp MC, Smits HL, Vierboom MP, Minnaar RP, de Jongh BM, et al. (1993) Vaccination with cytotoxic T lymphocyte epitope-containing peptide PLOS ONE | www.plosone.org April 2014 | Volume 9 | Issue 4 | e94332 PLOS ONE | www.plosone.org 12
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https://peerj.com/articles/7504v0.3/submission
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Manuscript to be reviewed Manuscript to be reviewed Comprehensive classification of the plant non-specific lipid
transfer protein superfamily towards its Sequence – Structure
– Function analysis PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed 1 Comprehensive classif
2 lipid transfer protein su
3 Sequence – Structure –
4
5
Cécile Fleury1, Jérôme Gracy3, Marie-Fr
6
Dufayard2, Gilles Labesse3, Manuel Ruiz
7
8
1 INRA, UMR AGAP, F-34060 Montpel
9
2 CIRAD, UMR AGAP, F-34398, Montp
10
3 CBS CNRS Univ. Montpellier– INSER
11
12
Corresponding Author:
13
Frédéric de Lamotte1
14
Avenue Agropolis – TA A-108/03 – Mon
15
Email address: frederic.de-lamotte@inra
16
17
ABSTRACT
18
Background. Non-specific Lipid Transf
19
kingdom and constitute a superfamily of
20
sequences – and counting – have been ch
21
unclear. It has been clear for years that th
22
nutritional issues. Deciphering their func
23
from gene sequence to protein structure,
24
huge and growing number of new protein
25
meaningful knowledge from sequence-st
26
of new tools and approaches. 27
As nsLTPs show high evolutionary dive
28
superhelix structural fold, and as they are
29
development and defense, they are a stim
30
Methods. In this study we comprehensiv
31
including a phylogenetic analysis on can
32
structure modelling and functional annot
33
programs. Additionally, two integrative m
34
first was a new method for the detection
35
structure stabilization and ii) residues po
36
a structure-function classification based o
37
tree visualization interface. We also pres
38
Results. Following this new protocol, an
39
established and a new functional hypothe 1 Comprehensive classification of the plant non
2 lipid transfer protein superfamily towards its
3 Sequence – Structure – Function analysis
4
5
Cécile Fleury1, Jérôme Gracy3, Marie-Françoise Gautier1, Jean-Luc Pons3, Jean-
6
Dufayard2, Gilles Labesse3, Manuel Ruiz2, Frédéric de Lamotte1
7
8
1 INRA, UMR AGAP, F-34060 Montpellier, France
9
2 CIRAD, UMR AGAP, F-34398, Montpellier
10
3 CBS CNRS Univ. Montpellier– INSERM, Montpellier, F-34090, France
11
12
Corresponding Author:
13
Frédéric de Lamotte1
14
Avenue Agropolis – TA A-108/03 – Montpellier – F-34398 Cedex 5 – France
15
Email address: frederic.de-lamotte@inra.fr
16
17
ABSTRACT
18
Background. Non-specific Lipid Transfer Proteins (nsLTPs) are widely distribu
19
kingdom and constitute a superfamily of related proteins. Several hundreds of di
20
sequences – and counting – have been characterized so far, but their biological fu
21
unclear. It has been clear for years that they present a certain interest for agronom
22
nutritional issues. Comprehensive classification of the plant non-specific lipid
transfer protein superfamily towards its Sequence – Structure
– Function analysis Cecile Fleury
1 , Jerome Gracy
2 , Marie-Francoise Gautier
1 , Jean-Luc Pons
2 , Jean-Francois Dufayard
3 , Gilles
Labesse
2 , Manuel Ruiz
3 , Frederic de Lamotte
Corresp. 1 1 UMR AGAP, INRA, Montpellier, France
2 CBS, CNRS Univ Montpellier INSERM, Montpellier, France
3 UMR AGAP, CIRAD, Montpellier, France 1 UMR AGAP, INRA, Montpellier, France
2 CBS, CNRS Univ Montpellier INSERM, Montpellier, France
3 UMR AGAP, CIRAD, Montpellier, France
Corresponding Author: Frederic de Lamotte
Email address: frederic.de-lamotte@inra.fr Corresponding Author: Frederic de Lamotte
Email address: frederic.de-lamotte@inra.fr Corresponding Author: Frederic de Lamotte
Email address: frederic.de-lamotte@inra.fr Background. Non-specific Lipid Transfer Proteins (nsLTPs) are widely distributed in the plant kingdom
and constitute a superfamily of related proteins. Several hundreds of different nsLTP sequences – and
counting – have been characterized so far, but their biological functions remain unclear. It has been clear
for years that they present a certain interest for agronomic and nutritional issues. Deciphering their
functions means collecting and analyzing a variety of data from gene sequence to protein structure, from
cellular localization to the physiological role. As a huge and growing number of new protein sequences
are available nowadays, extracting meaningful knowledge from sequence-structure-function relationships
calls for the development of new tools and approaches. As nsLTPs show high evolutionary divergence,
but a conserved common right handed superhelix structural fold, and as they are involved in a large
number of key roles in plant development and defense, they are a stimulating case study for validating
such an approach. Methods. In this study we comprehensively investigated 797 nsLTP protein sequences, including a
phylogenetic analysis on canonical protein sequences, three-dimensional (3D) structure modelling and
functional annotation using several well-established bioinformatics programs. Additionally, two
integrative methodologies using original tools were developed. The first was a new method for the
detection of i) conserved amino acid residues involved in structure stabilization and ii) residues
potentially involved in ligand interaction. The second was a structure-function classification based on the
Evolutionary Trace Display method using a new tree visualization interface. We also present a new tool
for visualizing phylogenetic trees. Results. Following this new protocol, an updated classification of the nsLTP superfamily was established
and a new functional hypothesis for key residues is suggested. Lastly, this work allows a better
representation of the diversity of plant nsLTPs in terms of sequence, structure and function. 1 Comprehensive classification of the plant non-specific
2 lipid transfer protein superfamily towards its
3 Sequence – Structure – Function analysis
4
5
Cécile Fleury1, Jérôme Gracy3, Marie-Françoise Gautier1, Jean-Luc Pons3, Jean-François
6
Dufayard2, Gilles Labesse3, Manuel Ruiz2, Frédéric de Lamotte1 8
1 INRA, UMR AGAP, F-34060 Montpellier, France
9
2 CIRAD, UMR AGAP, F-34398, Montpellier
10
3 CBS CNRS Univ. Montpellier– INSERM, Montpellier, F-34090, France
11 11
12
Corresponding Author:
13
Frédéric de Lamotte1
14
Avenue Agropolis – TA A-108/03 – Montpellier – F-34398 Cedex 5 – France
15
Email address: frederic.de-lamotte@inra.fr
16
17
ABSTRACT
18
Background. Non-specific Lipid Transfer Proteins (nsLTPs) are widely distributed in the plant
19
kingdom and constitute a superfamily of related proteins. Several hundreds of different nsLTP
20
sequences – and counting – have been characterized so far, but their biological functions remain
21
unclear. It has been clear for years that they present a certain interest for agronomic and
22
nutritional issues. Deciphering their functions means collecting and analyzing a variety of data
23
from gene sequence to protein structure, from cellular localization to the physiological role. As a
24
huge and growing number of new protein sequences are available nowadays, extracting
25
meaningful knowledge from sequence-structure-function relationships calls for the development
26
of new tools and approaches. 27
As nsLTPs show high evolutionary divergence, but a conserved common right handed
28
superhelix structural fold, and as they are involved in a large number of key roles in plant
29
development and defense, they are a stimulating case study for validating such an approach. 30
Methods. In this study we comprehensively investigated 797 nsLTP protein sequences,
31
including a phylogenetic analysis on canonical protein sequences, three-dimensional (3D)
32
structure modelling and functional annotation using several well-established bioinformatics
33
programs. Additionally, two integrative methodologies using original tools were developed. The
34
first was a new method for the detection of i) conserved amino acid residues involved in
35
structure stabilization and ii) residues potentially involved in ligand interaction. The second was
36
a structure-function classification based on the Evolutionary Trace Display method using a new
37
tree visualization interface. We also present a new tool for visualizing phylogenetic trees. 38
Results. Following this new protocol, an updated classification of the nsLTP superfamily was
39
established and a new functional hypothesis for key residues is suggested. 13
Frédéric de Lamotte
14
Avenue Agropolis – TA A-108/03 – Montpellier – F-34398 Cedex 5 – France 18
Background. Non-specific Lipid Transfer Proteins (nsLTPs) are widely distributed in the plant
19
kingdom and constitute a superfamily of related proteins. Comprehensive classification of the plant non-specific lipid
transfer protein superfamily towards its Sequence – Structure
– Function analysis Deciphering their functions means collecting and analyzing a v
23
from gene sequence to protein structure, from cellular localization to the physiol
24
huge and growing number of new protein sequences are available nowadays, ext
25
meaningful knowledge from sequence-structure-function relationships calls for t
26
of new tools and approaches. 27
As nsLTPs show high evolutionary divergence, but a conserved common right h
28
superhelix structural fold, and as they are involved in a large number of key role
29
development and defense, they are a stimulating case study for validating such a
30
Methods. In this study we comprehensively investigated 797 nsLTP protein sequ
31
including a phylogenetic analysis on canonical protein sequences, three-dimensi
32
structure modelling and functional annotation using several well-established bioi
33
programs. Additionally, two integrative methodologies using original tools were
34
first was a new method for the detection of i) conserved amino acid residues invo
35
structure stabilization and ii) residues potentially involved in ligand interaction. T
36
a structure-function classification based on the Evolutionary Trace Display meth
37
tree visualization interface. We also present a new tool for visualizing phylogene
38
Results. Following this new protocol, an updated classification of the nsLTP sup
39
established and a new functional hypothesis for key residues is suggested. 1 Comprehensive classification of the plant non-specific
2 lipid transfer protein superfamily towards its
3 Sequence – Structure – Function analysis
4
5
Cécile Fleury1, Jérôme Gracy3, Marie-Françoise Gautier1, Jean-Luc Pons3, Jean-François
6
Dufayard2, Gilles Labesse3, Manuel Ruiz2, Frédéric de Lamotte1 Several hundreds of different nsLTP
20
sequences – and counting – have been characterized so far, but their biological functions remain
21
unclear. It has been clear for years that they present a certain interest for agronomic and
22
nutritional issues. Deciphering their functions means collecting and analyzing a variety of data
23
from gene sequence to protein structure, from cellular localization to the physiological role. As a
24
huge and growing number of new protein sequences are available nowadays, extracting
25
meaningful knowledge from sequence-structure-function relationships calls for the development
26
of new tools and approaches. 38
Results. Following this new protocol, an updated classification of the nsLTP superfamily was
39
established and a new functional hypothesis for key residues is suggested. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed 40
Lastly, this work allows a better representation of the diversity of plant nsLTPs in terms of
41
sequence, structure and function. 40
Lastly, this work allows a better representation of the diversity of plant nsLTPs in terms of
41
sequence, structure and function. 41
sequence, structure and function. 43
INTRODUCTION 44
Since the work of Kader (Kader et al., 1984; Kader, 1996), numerous proteins capable of
45
transferring lipids have been annotated as non-specific lipid transfer proteins (nsLTPs). Their
46
primary sequences are characterized by a conserved 8-Cysteine Motif (8CM) (C-Xn-C-Xn-CC-
47
Xn-CXC-Xn-C-Xn-C), which plays an important role in their structural scaffold (José-Estanyol
48
et al., 2004). Based on their molecular masses, plant nsLTPs were first separated into two types:
49
type I (9 kDa) and type II (7 kDa), which were distinct both in terms of primary sequence
50
identity and the disulfide bond pattern (Douliez et al., 2001). 51
Plant nsLTPs are ubiquitous proteins encoded by multigene families, as reported in different
52
phylogenetic studies. However, these studies involve a limited number of sequences and/or
53
species: fifteen nsLTPs identified in Arabidopsis (Arondel et al., 2000), restricted to Poaceae
54
(Jang et al., 2007), Solanaceae (Liu et al., 2010, D’Agostino et al., 2019), or Gossypium (Li et
55
al., 2016; Meng et al., 2018). Recently 189 nsLtp genes were identified in 3 Gossypium species
56
(Li et al., 2016) and 138 nsLtp genes in the single Gossypium hirsutum species (Meng et al.,
57
2018) using traditional sequence homology approaches. As for Solanum lycopersicum, 51
Plant nsLTPs are ubiquitous proteins encoded by multigene families, as reported in different
52
phylogenetic studies. However, these studies involve a limited number of sequences and/or
53
species: fifteen nsLTPs identified in Arabidopsis (Arondel et al., 2000), restricted to Poaceae
54
(Jang et al., 2007), Solanaceae (Liu et al., 2010, D’Agostino et al., 2019), or Gossypium (Li et
55
al., 2016; Meng et al., 2018). Recently 189 nsLtp genes were identified in 3 Gossypium species
56
(Li et al., 2016) and 138 nsLtp genes in the single Gossypium hirsutum species (Meng et al.,
57
2018) using traditional sequence homology approaches. As for Solanum lycopersicum, )
g
q
gy pp
y
p
,
58
D’Agostino and collaborators identified 64 nsLtp gene sequences using an Hidden Markov
59
Model approach (D’Agostino et al., 2019). Around 200 nsLTPs have been identified in wheat,
60
rice and Arabidopsis genomes and classified into nine different types according to sequence
61
similarity (Boutrot et al., 2008). More extensive studies including ancestral plants indicate that
62
nsLTPs are also present in liverworts, mosses and ferns, but not present in algae (Edstam et al.,
63
2011; Wang et al., 2012). Manuscript to be reviewed 90
From a functional point of view, plant nsLTPs are classified into different families depending on
91
the scope of interest and their properties (Liu et al. 2015). Plant nsLTPs belong to the Prolamin
92
superfamily (AF050), which includes the largest number of allergens (Radauer et al., 2008). 93
Indeed, several nsLTPs from fruits of the Rosaceae family, nuts or different vegetables are food
94
allergens, with fruit nsLTPs being mainly localized in the peel (Salcedo et al., 2007, D’Agostino
95
et al., 2019). 80
belong to the “Mainly alpha” class. They display the “Orthogonal Bundle” architecture and the
81
“Hydrophobic Seed Protein” topology. At this level, only one homologous superfamily called
82
“Plant lipid-transfer and hydrophobic proteins” can be found. The superfamily appears to contain
83
ten distinct protein sequences, lacking the A. thaliana nsLTP, but including the soybean
84
hydrophobic protein found in the SCOP database. Of the known nsLTP 3D structures, only
85
Boutrot’s type I, II and IV are represented. An interesting point to be noted is that two different
86
cysteine pairing patterns have been observed (which correspond to a single cysteine switch
87
between two disulfide bridges): C1-C6 and C5-C8 in type I structures; C1-C5 and C6-C8 in type
88
II and IV structures. However, C2-C7 and C3-C4 bridges are common to all known nsLTP
89
structures and the overall fold is conserved among the whole family g
y
90
From a functional point of view, plant nsLTPs are classified into different families depending on
91
the scope of interest and their properties (Liu et al. 2015). Plant nsLTPs belong to the Prolamin
92
superfamily (AF050), which includes the largest number of allergens (Radauer et al., 2008). 93
Indeed, several nsLTPs from fruits of the Rosaceae family, nuts or different vegetables are food
94
allergens, with fruit nsLTPs being mainly localized in the peel (Salcedo et al., 2007, D’Agostino
95
et al., 2019). 90
From a functional point of view, plant nsLTPs are classified into different families depending on
91
the scope of interest and their properties (Liu et al. 2015). Plant nsLTPs belong to the Prolamin
92
superfamily (AF050), which includes the largest number of allergens (Radauer et al., 2008). Manuscript to be reviewed 93
Indeed, several nsLTPs from fruits of the Rosaceae family, nuts or different vegetables are food
94
allergens, with fruit nsLTPs being mainly localized in the peel (Salcedo et al., 2007, D’Agostino
95
et al., 2019). 96
Plant nsLTPs are members of the pathogenesis-related proteins and compose the PR14 family
97
(van Loon et al., 2006). Their role in plant defense mechanisms has been shown by the induction
98
of nsLtp gene expression following pathogen infections, overexpression in transgenic plants, or
99
their antimicrobial properties (Molina & García-Olmedo, 1993; Cammue et al., 1995; Li et al.,
100
2003; Girault et al., 2008; Sun et al., 2008). A role in plant defense signaling pathways has also
101
been suggested for an Arabidopsis type IV nsLTP, which needs to form a complex with glycerol-
102
3-phosphate for its translocation and induction of systemic acquired resistance (Maldonado et al.,
103
2002; Chanda et al., 2011). One wheat nsLTP competes with a fungal cryptogein receptor in
104
tobacco plasma membranes and, when the LTP is complexed with lipids, its interaction with the
105
membrane and its defense activity are enhanced (Buhot et al., 2001; Buhot et al., 2004). In
106
wheat, nsLtp genes display a complex expression pattern during the development of the seed
107
(Boutrot et al., 2005). NsLTPs may also be involved in plant defense mechanisms through their
108
participation in cuticle synthesis (Debono et al., 2009). This function is supported by their
109
extracellular localization (Thoma et al., 1993; Pyee et al., 1994), the expression of different
110
nsLtp genes in leaf epidermis (Sterk et al., 1991; Pyee & Kolattukudy, 1995; Clark & Bohnert,
111
1999), a positive correlation between nsLtp gene expression and cuticular wax deposition
112
(Cameron et al., 2006), and their ability to bind cutin monomers (i.e. hydroxylated fatty acids)
113
(Douliez et al., 2001). In addition, nsLtp gene transcripts are abundant or specifically present in
114
trichomes and one tobacco nsLTP seems to be required for lipid secretion from glandular
115
trichomes indicating that nsLTPs may play a role either in the secretion of essential oils or in
116
defense mechanism (Lange et al., 2000; Aziz et al., 2005; Choi et al., 2012). 43
INTRODUCTION However, the efforts made so far to classify the members of the nsLTP
64
superfamily were including proteins that do not satisfy the strict criteria of 8CM pattern (Edstam
65
et al., 2011; Wang et al., 2012). In comparison to previous studies, we computed the most
66
extensive phylogenetic analysis, sampling 797 nsLTP sequences from 123 different species. This
67
allows to enrich the phylogenic tree of many evolutionary events that would have been hidden
68
with more restrictive species choices. These events are essentially gene duplications and have a
69
major influence on the family evolution that could be correlated to 3D structure evolution. 70
From a structural point of view, the nsLTP family belongs to the all-alpha class in the SCOP 58
D’Agostino and collaborators identified 64 nsLtp gene sequences using an Hidden Markov
59
Model approach (D’Agostino et al., 2019). Around 200 nsLTPs have been identified in wheat,
60
rice and Arabidopsis genomes and classified into nine different types according to sequence
61
similarity (Boutrot et al., 2008). More extensive studies including ancestral plants indicate that
62
nsLTPs are also present in liverworts, mosses and ferns, but not present in algae (Edstam et al.,
63
2011; Wang et al., 2012). However, the efforts made so far to classify the members of the nsLTP
64
superfamily were including proteins that do not satisfy the strict criteria of 8CM pattern (Edstam
65
et al., 2011; Wang et al., 2012). In comparison to previous studies, we computed the most
66
extensive phylogenetic analysis, sampling 797 nsLTP sequences from 123 different species. This
67
allows to enrich the phylogenic tree of many evolutionary events that would have been hidden
68
with more restrictive species choices. These events are essentially gene duplications and have a
69
major influence on the family evolution that could be correlated to 3D structure evolution. 70
From a structural point of view, the nsLTP family belongs to the all-alpha class in the SCOP PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed 80
belong to the “Mainly alpha” class. They display the “Orthogonal Bundle” architecture and the
81
“Hydrophobic Seed Protein” topology. At this level, only one homologous superfamily called
82
“Plant lipid-transfer and hydrophobic proteins” can be found. The superfamily appears to contain
83
ten distinct protein sequences, lacking the A. thaliana nsLTP, but including the soybean
84
hydrophobic protein found in the SCOP database. Of the known nsLTP 3D structures, only
85
Boutrot’s type I, II and IV are represented. An interesting point to be noted is that two different
86
cysteine pairing patterns have been observed (which correspond to a single cysteine switch
87
between two disulfide bridges): C1-C6 and C5-C8 in type I structures; C1-C5 and C6-C8 in type
88
II and IV structures. However, C2-C7 and C3-C4 bridges are common to all known nsLTP
89
structures and the overall fold is conserved among the whole family. 90
From a functional point of view, plant nsLTPs are classified into different families depending on
91
the scope of interest and their properties (Liu et al. 2015). Plant nsLTPs belong to the Prolamin
92
superfamily (AF050), which includes the largest number of allergens (Radauer et al., 2008). 93
Indeed, several nsLTPs from fruits of the Rosaceae family, nuts or different vegetables are food
94
allergens, with fruit nsLTPs being mainly localized in the peel (Salcedo et al., 2007, D’Agostino
95
et al., 2019). 80
belong to the “Mainly alpha” class. They display the “Orthogonal Bundle” architecture and the
81
“Hydrophobic Seed Protein” topology. At this level, only one homologous superfamily called
82
“Plant lipid-transfer and hydrophobic proteins” can be found. The superfamily appears to contain
83
ten distinct protein sequences, lacking the A. thaliana nsLTP, but including the soybean
84
hydrophobic protein found in the SCOP database. Of the known nsLTP 3D structures, only
85
Boutrot’s type I, II and IV are represented. An interesting point to be noted is that two different
86
cysteine pairing patterns have been observed (which correspond to a single cysteine switch
87
between two disulfide bridges): C1-C6 and C5-C8 in type I structures; C1-C5 and C6-C8 in type
88
II and IV structures. However, C2-C7 and C3-C4 bridges are common to all known nsLTP
89
structures and the overall fold is conserved among the whole family. Manuscript to be reviewed y
p
y
p
(
,
)
127
Non-specific LTPs are possibly involved in a range of other biological processes, but their
128
physiological functions are not clearly understood. An analysis of gain of function or defective
129
plant mutants can address these issues (Maldonado et al., 2002; Chae et al., 2009). Site directed
130
mutagenesis (SDM) led to the identification of residues involved in their antifungal activity, lipid
131
binding and lipid transfer (Ge et al., 2003; Cheng et al., 2008; Sawano et al., 2008). However,
132
even if they remain extremely valuable, these approaches are time-consuming and have so far
133
been limited to a small number of proteins. They need to be computationally assisted, using
134
information emerging from big datasets. 135
Current bioinformatics programs such as GeneSilico Metaserver (Kurowski & Bujnicki, 2003) or
136
MESSA (Cong & Grishin, 2012) provide an overview of known information about protein
137
sequences, structures and functions. However, studying inner relationships into such complex
138
superfamilies of proteins as the nsLTP superfamily requires a knowledge visualization and
139
classification tool that still needs to be developed. 135
Current bioinformatics programs such as GeneSilico Metaserver (Kurowski & Bujnicki, 2003) or
136
MESSA (Cong & Grishin, 2012) provide an overview of known information about protein
137
sequences, structures and functions. However, studying inner relationships into such complex
138
superfamilies of proteins as the nsLTP superfamily requires a knowledge visualization and
139
classification tool that still needs to be developed. 140
This paper describes both the development of new tools together with the use of these tools to
141
improve our comprehension of the nsLTP superfamily. 140
This paper describes both the development of new tools together with the use of these tools to
141
improve our comprehension of the nsLTP superfamily. Manuscript to be reviewed Several nsLtp
117
genes are up or down-regulated by application of different abiotic stresses including low
118
temperature, drought, salinity and wounding (Wang et al., 2012; Treviño & O’Connell, 1998;
119
Gaudet et al., 2003; Maghuly et al., 2009). A cabbage nsLTP isolated from leaves stabilizes PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) 144
MATERIALS & METHODS 145
1/ NsLTP sequences Manuscript to be reviewed 162
identified by Boutrot (Boutrot et al., 2008), 797 non-redundant mature amino acid sequences
163
belonging to more than 120 plant species were kept for analysis. This dataset is available online
164
(doi:10.18167/DVN1/UNKLA6). 165 162
identified by Boutrot (Boutrot et al., 2008), 7
163
belonging to more than 120 plant species we
164
(doi:10.18167/DVN1/UNKLA6). 165
166
Sequence alignments and phylogenetic ana
167
In order to achieve the best alignment, the po
168
MAFFT (Katoh et al., 2002; Katoh & Toh, 2
169
respective parameters of 1.53 for gap openin
170
maximum iteration 16. 171
The two resulting multiple alignments were c
172
highlighted. To discriminate between the two
173
section), a restricted analysis was carried out
174
structure had previously been experimentally
175
were calculated, one by MUSCLE and one b
176
Labesse, 2004), each alignment was projecte
177
spatial distance of equivalent cysteine residu
178
these distances was selected as the best one. 179
Based on the best alignment, a phylogenetic
180
2010). Lastly, the tree was reconciled with th
181
(Dufayard et al., 2005). 182
183
2/ NsLTP three-dimensional structures
184
185
Three-dimensional structure modeling
186
For 10 out of the 797 nsLTP dataset, one or m
187
available and downloaded from the Protein D
188
structures were calculated for the other 787 p
189
perform homology modeling (Pons & Labess
190
each final structure model was evaluated usin
191
low quality (i.e. for which the cysteine scaffo
192
further analysis (see Table 1). 193
194
Structural classification
195
All the remaining good-quality theoretical str
196
structures composed the 3D structure pool of
197
by ViTo, this structural pool was used in all f
198
The structures were compared to each other i
199
similarity matching method of the MAMMO
200
calculated for each pair of structures, using th
201
in the lowest RMSD value. This superpositio
202
(Kabsch, 1976; Kabsch, 1978) implemented 162
identified by Boutrot (Boutrot et al., 2008), 797 non-redundant mature amino acid sequences
163
belonging to more than 120 plant species were kept for analysis. This dataset is available online
164
(doi:10.18167/DVN1/UNKLA6). Manuscript to be reviewed 165
166
Sequence alignments and phylogenetic analysis
167
In order to achieve the best alignment, the pool of 797 sequences was aligned using both the
168
MAFFT (Katoh et al., 2002; Katoh & Toh, 2010) and MUSCLE (Edgar, 2004) programs with
169
respective parameters of 1.53 for gap opening, 0.123 for gap extension and BLOSUM62 matrix;
170
maximum iteration 16. 171
The two resulting multiple alignments were compared and conflicts between the two were
172
highlighted. To discriminate between the two different cysteine patterns suggested (see Results
173
section), a restricted analysis was carried out using only the 10 nsLTPs for which at least one
174
structure had previously been experimentally determined. Two new 10-sequence alignments
175
were calculated, one by MUSCLE and one by MAFFT. Using the ViTo program (Catherinot &
176
Labesse, 2004), each alignment was projected on type I, II and IV nsLTP 3D structures, and the
177
spatial distance of equivalent cysteine residues was evaluated. The alignment that minimized
178
these distances was selected as the best one. 179
Based on the best alignment, a phylogenetic tree was calculated using PhyML (Guindon et al.,
180
2010). Lastly, the tree was reconciled with the overall species tree using the Rap-Green program
181
(Dufayard et al., 2005). 182
183
2/ NsLTP three-dimensional structures
184
185
Three-dimensional structure modeling
186
For 10 out of the 797 nsLTP dataset, one or more experimentally determined 3D structures were
187
available and downloaded from the Protein Data Bank (http://www.rcsb.org/pdb). Theoretical
188
structures were calculated for the other 787 proteins using the @tome2 suite of programs to
189
perform homology modeling (Pons & Labesse, 2009) (http://atome.cbs.cnrs.fr). The quality of
190
each final structure model was evaluated using Qmean (Benkert et al., 2008). Structures with
191
low quality (i.e. for which the cysteine scaffold could not be fully modeled) were discarded from
192
further analysis (see Table 1). 193
194
Structural classification
195
All the remaining good-quality theoretical structures, together with the 10 experimental
196
structures composed the 3D structure pool of the study. Except for the cysteine pattern analysis
197
by ViTo, this structural pool was used in all further structural analysis. 198
The structures were compared to each other in a sequence-independent manner, using the
199
similarity matching method of the MAMMOTH program (Ortiz et al., 2002). Manuscript to be reviewed The RMSD was
200
calculated for each pair of structures, using the superposition between matched pairs that resulted
201
in the lowest RMSD value. This superposition was computed using the Kabsch rotation matrix
202
(Kabsch, 1976; Kabsch, 1978) implemented in the MaxCluster program (Herbert A. 147
Definition of the protein sequence set 148
A first pool of plant nsLTPs sequences was retrieved from the UniProtKB (Swiss-Prot +
149
TrEMBL) (http://www.uniprot.org), Phytozome (http://www.phytozome.net) and NCBI
150
databases (http://www.ncbi.nlm.nih.gov), using either Blast or keyword queries (“Plant lipid
151
transfer protein”, “viridiplantae lipid transfer protein”, “plant A9 protein”, “A9 like protein”,
152
“tapetum specific protein”, “tapetum specific”, “anther specific protein”, “A9 Fil1”). Original
153
data obtained on the Theobroma cacao genome were also investigated (Argout et al., 2011). 154
From this large pool of proteins, the plant nsLTP dataset was defined according to a new set of
155
criteria: (i) sequences from 60 to 150 residues long, including signal peptide; (ii) containing
156
strictly eight cysteine residues after removal of the signal peptide; (iii) cysteine residues
157
distributed in the 8CM pattern (C-Xn-C-Xn-CC-Xn-CXC-Xn-C-Xn-C). We excluded multi-
158
domain proteins, i.e. the hybrid proline-rich and hybrid glycine-rich proteins in which the signal
159
peptide is followed by a proline-rich or a glycine-rich domain of variable length (José-Estanyol
160
et al., 2004). For each sequence, the signal peptide was detected and removed using SignalP 3.0
161
(Bendtsen et al., 2004). In all, including the wheat, rice and Arabidopsis sequences previously PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed 203
unpublished). We used the RMSD score matrix calculated by MaxCluster as input for the
204
FastME program (Desper & Gascuel, 2002) to calculate a structural distance tree. 203
unpublished). We used the RMSD score matrix calculated by MaxCluster as input for the
204
FastME program (Desper & Gascuel, 2002) to calculate a structural distance tree. 205
206
3/ NsLTP functional annotation
207
Extensive bibliographic work was carried out to collect and classify functional information
208
available in the literature about the nsLTPs of the dataset. Gene Ontology (GO), Plant Ontology
209
(PO) and Trait Ontology (TO) terms were collected from the Gramene Ontologies Database
210
(http://www.gramene.org/plant_ontology) and organized in a dedicated database, together with
211
the bibliographic references when available. The database was also enriched with additional
212
information, such as methods used for gene expression studies (northern, RT-PCR or microarray
213
data, in situ hybridization), protein purification, in vitro or in planta antifungal and antibacterial
214
activity, lipid binding or transport (fluorescence binding assay or in vitro lipid transfer). 215
Information about tissues and organs used in cDNA libraries was collected from the NCBI
216
databases (http://www.ncbi.nlm.nih.gov). A dataset with all the annotations is available online
217
(http://dx.doi.org/10.18167/DVN1/1O5UAK. 218
219
4/Integrative method 1: sequence -> structure -> function
220
This method seeks to identify common ligand binding properties in nsLTPs clustered by
221
sequence similarity. 222
223
Sequence consensus for each nsLTP type
224
797 nsLTP sequences were clustered by type on the basis of regular expressions derived from the
225
consensus motifs described in (Boutrot et al., 2008). Each type subfamily was then aligned
226
individually and the resulting sequence profiles were globally aligned using MUSCLE. For each
227
type subfamily, the most frequent amino acids were selected at each alignment position to build
228
the consensus sequence. A consensus amino acid was replaced by a gap if more than half of the
229
sequences were aligned with a deletion at the considered position. 230
231
NsLTP sequence-structure analysis using Frequently Aligned Symbol Tree (FAST)
232
An original tool was designed to highlight conserved amino acid positions specific to each
233
nsLTP phylogenetic type, and which might be decisive for their function. The algorithm relied
234
on a statistical analysis of each alignment row, after the sequences had been clustered according
235
to their phylogenetic distances. 166
Sequence alignments and phylogenetic analysis 177
spatial distance of equivalent cysteine residues was evaluated. The alignment that minimized
178
these distances was selected as the best one. 179
Based on the best alignment, a phylogenetic tree was calculated using PhyML (Guindon et al.,
180
2010). Lastly, the tree was reconciled with the overall species tree using the Rap-Green program
181
(Dufayard et al., 2005). 182
183
2/ NsLTP three-dimensional structures
184 179
Based on the best alignment, a phylogenetic tree was calculated using PhyML (Guindon et al.,
180
2010). Lastly, the tree was reconciled with the overall species tree using the Rap-Green program
181
(Dufayard et al., 2005). 179
Based on the best alignment, a phylogenetic tree was calculated using PhyML (Guindon et al.,
180
2010). Lastly, the tree was reconciled with the overall species tree using the Rap-Green program
181
(Dufayard et al., 2005). PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed 236
For each type subfamily, the most frequent amino acids were selected at each alignment position
237
to build the consensus sequence. A consensus amino acid was replaced by a gap if more than half
238
of the sequences were aligned with a deletion at the considered position. We then calculated the
239
amino acid conservations and specificities over each column of the multiple sequence alignment
240
to delineate the functionally important residues in each nsLTP subfamily. This statistical analysis
241
is explained in Figure 3. Manuscript to be reviewed 242
In order to visualize the conserved and divergent regions of the sequences, different color ranges
243
were assigned to the nsLTP phylogenetic subfamilies. Conserved amino acid positions along the
244
whole alignment (CCP: Conserved Core Positions) are represented in grey/black, while
245
specifically conserved positions among proteins of the same subfamily (SDP: Specificity
246
Determining Positions) are represented in saturated colors corresponding to the family ones. The
247
tool enabled scrolling down of the alignment to easily identify both types of conserved positions
248
and two distant parts of the alignment could be displayed together to compare distant
249
phylogenetic subfamilies. 247
tool enabled scrolling down of the alignment to easily identify both types of conserved positions
248
and two distant parts of the alignment could be displayed together to compare distant
249
phylogenetic subfamilies. 250
Contacts with ligands, solvent accessibility and other parameters could also be displayed above
251
the alignment. Using the Jmol interface, conserved amino acid residues could be projected on
252
nsLTP representative 3D structures, so that the potential role of each position could be
253
interpreted geometrically. 254
255
5/ Integrative method 2: function -> structure -> sequence
256
Structural Trace Display is a method, based on Evolutionary Trace Display (ETD, Erdin et
257
al.,2010), that seeks to identify common structural (1D, 3D) properties in nsLTPs sharing similar
258
functions. 259
260
Clustering of the structure tree
261
As in a phylogenetic tree, nsLTPs in the structure tree were clustered according to their
262
similarity. In the case of this particular tree, the similarity between nsLTPs was measured by a
263
spatial distance in angströms (see paragraph 2/ NsLTP three-dimensional structures / Structural
264
classification). Decreasing distance cutoffs ranged from 11.5 Å (one cluster containing all nsLTP
265
structures) to 0.5 Å. Each cutoff application caused a division of the tree into one or more sub-
266
trees that contained leaves (i.e. nsLTP structures) whose structural proximity altogether
267
(represented by the pairwise RMSDs) was up to the value of the applied cutoff. 268
269
InTreeGreat: an integrative tree visualization tool
270
We developed an integrative tree visualization tool called InTreeGreat in order to display the
271
whole or some parts of either sequence or structure distance trees. 272
InTreeGreat was implemented using PHP and Javascript, in order to generate and manipulate an
273
SVG graphical object. Manuscript to be reviewed 274
The main objective of this tool is to graphically highlight correlations between 3D structures,
275
evolution, functional annotations or any available heterogeneous data. In the context of this
276
study, the interface was able to retrieve information from the nsLTP database to annotate the
277
tree. 278
InTreeGreat includes functionalities such as tree coloration, fading, and collapsing. 279
Heterogeneous data related to sequences (e.g. annotations, nsLTP classification) can be
280
displayed in colored boxes, aligned to the tree. 281
282
Cluster Selection 250
Contacts with ligands, solvent accessibility and other parameters could also be displayed above
251
the alignment. Using the Jmol interface, conserved amino acid residues could be projected on
252
nsLTP representative 3D structures, so that the potential role of each position could be
253
interpreted geometrically. sequence-structure analysis using Frequently Aligned Symbol Tree (FAST) PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) 255
5/ Integrative method 2: function -> structure -> sequence 256
Structural Trace Display is a method, based on Evolutionary Trace Display (ETD, Erdin et
257
al.,2010), that seeks to identify common structural (1D, 3D) properties in nsLTPs sharing similar
258
functions. Manuscript to be reviewed 283
Using InTreeGreat to investigate our annotated structure tree, we looked for clusters of nsLTPs
284
sharing the same kind of functional annotations. We focused our attention on one interesting
285
functional role highlighted in several nsLTPs: the implication in plant defense mechanisms
286
against pathogens (bacteria and/or fungus). In order to highlight structure-function relationships
287
we studied three groups of nsLTPs (see Results section for details): (i) the “defense cluster” (43
288
proteins, distance cutoff = 1.5 Å); (ii) the cluster containing all type I fold proteins (402 protein
289
distance cutoff = 3 Å); (iii) a group manually composed of all type I fold nsLTPs for which a
290
functional role in defense and/or resistance against pathogens had been reported in the literature
291
(28 proteins). 292
Within each of these 3 clusters, the protein structure showing the shortest RMS distance from al
293
the others was selected as the representative structure of the cluster for the structural trace
294
calculation. 295
296
Structural Trace calculation
297
A structure-based sequence alignment was carried out on the nsLTP structures by Mustang
298
software (Konagurthu et al., 2006). 299
For each previously selected structural cluster, the corresponding set of protein sequences was
300
extracted from the multiple structural alignment of the nsLTPs. The Evolutionary Trace (ET)
301
method (Lichtarge et al., 1996) was applied: the partial multiple sequence alignment was
302
submitted as input for the ETC program (locally installed,
303
http://mammoth.bcm.tmc.edu/ETserver.html) together with the representative structure of the
304
cluster (selected as described in the previous paragraph). 305
The “evolutionary” traces based on the structural alignments corresponding to the three nsLTP
306
clusters were then compared to each other. To that end, the 30% top-ranked residues of the
307
defense cluster trace were considered as constitutive of the reference trace (i.e. 27 most
308
conserved amino acid residues) and their ranking and scores in the two other traces were
309
analyzed. The results were compiled in a table and graphically visualized using PyMOL
310
(http://www.pymol.org/). 311
312
313
RESULTS
314
1/ NsLTP sequences analysis
315
316
NsLTP dataset
317
Over the last four decades numerous proteins, whose ability to transfer lipids has not always
318
been demonstrated, have been annotated as nsLTPs on the basis of sequence similarity. 260
Clustering of the structure tree 261
As in a phylogenetic tree, nsLTPs in the structure tree were clustered according to their
262
similarity. In the case of this particular tree, the similarity between nsLTPs was measured by a
263
spatial distance in angströms (see paragraph 2/ NsLTP three-dimensional structures / Structural
264
classification). Decreasing distance cutoffs ranged from 11.5 Å (one cluster containing all nsLTP
265
structures) to 0.5 Å. Each cutoff application caused a division of the tree into one or more sub-
266
trees that contained leaves (i.e. nsLTP structures) whose structural proximity altogether
267
(represented by the pairwise RMSDs) was up to the value of the applied cutoff. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed In order
319
to understand more clearly the functional characteristics and the inner variability of this family,
320
we focused the study on the monodomain proteins, which present the strict and only nsLTP
321
domain, i.e. the eight-cysteine residues arranged in four disulfide bridges. In total, including the
322
wheat, rice and Arabidopsis sequences previously identified (Boutrot et al., 2008), together with 303
http://mammoth.bcm.tmc.edu/ETserver.html) together with the representative structure of the
304
cluster (selected as described in the previous paragraph). PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed For these reasons we think that the sequence alignment calculated
351
MAFFT is more relevant. 352
This compound approach allowed us to sort the 797 sequences unambiguously into two m
353
families. 354
355
NsLTP sequence classification
356
Our dataset was mainly composed of nsLTPs from angiosperm species (19 monocotyledon
357
species and 83 eudicotyledonous species) plus five gymnosperm species (35 sequences), o
358
lycophyte species (34 sequences) and two bryophyte species (17 sequences). The monocot
359
i l
t d b P
l
LTP (256
t f 270
)
h 323
sequences from the UniProt (Swiss-Prot/TrEMBL), NCBI and Phytozome databases, 797 non-
324
redundant mature nsLTP sequences belonging to more than 120 plant species were kept for
325
analysis. This first step allowed the selection of a relevant set of proteins covering variability in
326
the nsLTP family. The number of sequences (797) was also large enough to challenge any
327
analysis method we used during this study. 328
329
Sequence alignment and Cysteine pattern
330
The alignment of all non-redundant protein sequences for which the 3D structure was
331
experimentally determined (10 sequences) was carried out twice, using the MUSCLE program
332
on the one hand, and the MAFFT program on the other hand. The resulting alignments obtained
333
with standard settings are shown on Figures 1A and 1B. 334
In both cases, cysteine residues of the 8CM aligned quite well among the three represented types
335
of nsLTPs (types I, II and IV), except for the Cys5-X-Cys6 (CXC) pattern region (where X
336
stands for any amino acid residue). MUSCLE did align type I Cys5 with types II and IV Cys5’,
337
as well as type I Cys6 with types II and IV Cys6’ (Figure 1A), just as previous studies typically
338
showed (Liu et al., 2010; Siverstein et al., 2007). However, in the alignment carried out by
339
MAFFT (Figure 1B), Cys5 of type I nsLTPs was equivalent to Cys6’ of type II and IV nsLTPs,
340
and not to the corresponding Cys5’. 341
To determine which of these two alignments better aligned nsLTP type I and II CXC patterns,
342
we used ViTO program to compare the effects on the 3D structures of both sequence alignments. Manuscript to be reviewed 343
The 3D projection of MUSCLE sequence alignment (Figure 1C) showed that the attempt to
344
spatially superimpose Cys5 and Cys6 of type I nsLTPs with Cys5’ and Cys6’ of type II nsLTPs
345
respectively, was very expensive in term of Cys C-alpha RMSD value (7.32 Ǻ). 346
On the contrary, according to the 3D projection of MAFFT sequence alignment (Figure 1D),
347
type I Cys5 could be well superimposed with type II Cys6’, with a Cys C-alpha RMSD value
348
dropping to 2.15 Å. Furthermore, type I hydrophylic X residue was exposed to the solvent,
349
whereas type II apolar X residue was orientated toward the core of the protein, increasing the
350
stability of the proteins. For these reasons we think that the sequence alignment calculated by
351
MAFFT is more relevant. 352
This compound approach allowed us to sort the 797 sequences unambiguously into two main
353
families. 354
355
NsLTP sequence classification
356
Our dataset was mainly composed of nsLTPs from angiosperm species (19 monocotyledonous
357
species and 83 eudicotyledonous species) plus five gymnosperm species (35 sequences) one 323
sequences from the UniProt (Swiss-Prot/TrEMBL), NCBI and Phytozome databases, 797 non-
324
redundant mature nsLTP sequences belonging to more than 120 plant species were kept for
325
analysis. This first step allowed the selection of a relevant set of proteins covering variability in
326
the nsLTP family. The number of sequences (797) was also large enough to challenge any
327
analysis method we used during this study. 328 323
sequences from the UniProt (Swiss-Prot/TrEMBL), NCBI and Phytozome databases, 797 non-
324
redundant mature nsLTP sequences belonging to more than 120 plant species were kept for
325
analysis. This first step allowed the selection of a relevant set of proteins covering variability in
326
the nsLTP family. The number of sequences (797) was also large enough to challenge any
327
analysis method we used during this study. Manuscript to be reviewed 323
sequences from the UniProt (Swiss-Prot/TrEMBL), NCBI and Phytozome databases, 797
324
redundant mature nsLTP sequences belonging to more than 120 plant species were kept fo
325
analysis. This first step allowed the selection of a relevant set of proteins covering variabil
326
the nsLTP family. The number of sequences (797) was also large enough to challenge any
327
analysis method we used during this study. 328
329
Sequence alignment and Cysteine pattern
330
The alignment of all non-redundant protein sequences for which the 3D structure was
331
experimentally determined (10 sequences) was carried out twice, using the MUSCLE prog
332
on the one hand, and the MAFFT program on the other hand. The resulting alignments obt
333
with standard settings are shown on Figures 1A and 1B. 334
In both cases, cysteine residues of the 8CM aligned quite well among the three represented
335
of nsLTPs (types I, II and IV), except for the Cys5-X-Cys6 (CXC) pattern region (where X
336
stands for any amino acid residue). MUSCLE did align type I Cys5 with types II and IV C
337
as well as type I Cys6 with types II and IV Cys6’ (Figure 1A), just as previous studies typi
338
showed (Liu et al., 2010; Siverstein et al., 2007). However, in the alignment carried out by
339
MAFFT (Figure 1B), Cys5 of type I nsLTPs was equivalent to Cys6’ of type II and IV nsL
340
and not to the corresponding Cys5’. 341
To determine which of these two alignments better aligned nsLTP type I and II CXC patte
342
we used ViTO program to compare the effects on the 3D structures of both sequence align
343
The 3D projection of MUSCLE sequence alignment (Figure 1C) showed that the attempt t
344
spatially superimpose Cys5 and Cys6 of type I nsLTPs with Cys5’ and Cys6’ of type II ns
345
respectively, was very expensive in term of Cys C-alpha RMSD value (7.32 Ǻ). 346
On the contrary, according to the 3D projection of MAFFT sequence alignment (Figure 1D
347
type I Cys5 could be well superimposed with type II Cys6’, with a Cys C-alpha RMSD va
348
dropping to 2.15 Å. Furthermore, type I hydrophylic X residue was exposed to the solvent
349
whereas type II apolar X residue was orientated toward the core of the protein, increasing
350
stability of the proteins. 329
Sequence alignment and Cysteine pattern 330
The alignment of all non-redundant protein sequences for which the 3D structure was
331
experimentally determined (10 sequences) was carried out twice, using the MUSCLE program
332
on the one hand, and the MAFFT program on the other hand. The resulting alignments obtained
333
with standard settings are shown on Figures 1A and 1B. 334
In both cases, cysteine residues of the 8CM aligned quite well among the three represented types
335
of nsLTPs (types I, II and IV), except for the Cys5-X-Cys6 (CXC) pattern region (where X
336
stands for any amino acid residue). MUSCLE did align type I Cys5 with types II and IV Cys5’,
337
as well as type I Cys6 with types II and IV Cys6’ (Figure 1A), just as previous studies typically
338
showed (Liu et al., 2010; Siverstein et al., 2007). However, in the alignment carried out by
339
MAFFT (Figure 1B), Cys5 of type I nsLTPs was equivalent to Cys6’ of type II and IV nsLTPs,
340
and not to the corresponding Cys5’. 337
as well as type I Cys6 with types II and IV Cys6’ (Figure 1A), just as previous studies typically
338
showed (Liu et al., 2010; Siverstein et al., 2007). However, in the alignment carried out by
339
MAFFT (Figure 1B), Cys5 of type I nsLTPs was equivalent to Cys6’ of type II and IV nsLTPs,
340
and not to the corresponding Cys5’. 339
MAFFT (Figure 1B), Cys5 of type I nsLTPs was equivalent to Cys6’ of type II and IV nsLTPs,
340
and not to the corresponding Cys5’. 341
To determine which of these two alignments better aligned nsLTP type I and II CXC patterns,
342
we used ViTO program to compare the effects on the 3D structures of both sequence alignments. 343
The 3D projection of MUSCLE sequence alignment (Figure 1C) showed that the attempt to
344
spatially superimpose Cys5 and Cys6 of type I nsLTPs with Cys5’ and Cys6’ of type II nsLTPs
345
respectively, was very expensive in term of Cys C-alpha RMSD value (7.32 Ǻ). 352
This compound approach allowed us to sort the 797 sequences unambiguously into two main
353
families. Manuscript to be reviewed 363
defined on A. thaliana, T. aestivum and O. sativa nsLTP sequences, in nine types (Boutrot et al.,
364
2008). The main differences were the identification of a new group (named type XI), including
365
23 sequences, and that Boutrot’s type VII nsLTPs disappeared from our dataset. Indeed, the
366
latter did not satisfy the 8CM criteria as they have only seven cysteine residues in their
367
sequences. For the same reason, Wang’s A, B, C and D types (Wang et al., 2012) were not
368
represented in our classification. 369
370
Type I nsLTPs formed a well-supported monophyletic group (branch support of 0.879) and
371
predominated over the other types, as they accounted for more than half of our dataset (417 out
372
of 797 sequences). This was also observed by Wang (Wang et al., 2012) with a set of 595
373
nsLTPs. Conversely, in Solanaceae, the most abundant nsLTPs belong to a type referred to as
374
type X by Wang (70 out of 135 sequences) and which seems specific to that plant family (Liu et
375
al., 2010) but was not present in our dataset. To avoid any confusion, we did not used type X
376
denomination in this work. Type II nsLTPs were the second most abundant type (126 sequences)
377
followed by type V (70 sequences) and type VI (60 sequences). Type IX (12 sequences) was
378
mainly composed of Physcomitrella patens nsLTPs and type XI (23 sequences) was mainly
379
composed of nsLTPs from eudicot species. Twelve nsLTPs were not included in any of the
380
identified types: these were mainly P. patens (6 sequences) and S. moellendorfii (4 sequences)
381
proteins (Figure 2). 382
383
Type XI were grouped in a cluster of 23 sequences in the phylogenetic tree, fairly well supported
384
by a branch of 0.879 aLRT SH-like score. Type XI appeared between type I and the other types,
385
but even though type XI and I were grouped together in the tree, it remained unclear which of the
386
3 groups (type I, type XI, and other types) diverged first. 387
388
All nsLTP types were represented in eudicots while types IX, X (in Wang’s nomenclature) and
389
XI were not identified in monocot species. Within the lycophyte and bryophyte species, no type
390
II, III, IV nor VIII nsLTPs were identified. 355
NsLTP sequence classification 356
Our dataset was mainly composed of nsLTPs from angiosperm species (19 monocotyledonous
357
species and 83 eudicotyledonous species) plus five gymnosperm species (35 sequences), one
358
lycophyte species (34 sequences) and two bryophyte species (17 sequences). The monocot
359
sequences were mainly represented by Poales nsLTPs (256 out of 270 sequences) whereas Rosid
360
nsLTPs were the most abundant (364 out of 436 sequences) within eudicots. 361
The phylogenetic analysis showed that the pool of proteins clustered into nine different types, all
362
highly supported (branch support >0.84). This result mostly confirmed Boutrot’s classification, 361
The phylogenetic analysis showed that the pool of proteins clustered into nine different types, all
362
highly supported (branch support >0.84). This result mostly confirmed Boutrot’s classification, PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed 402
According to Yi and coworkers (Yi et al., 2009), Allium nsLTPs may constitute a novel type of
403
nsLTPs harboring a C-terminal pro-peptide localized in endomembrane compartments. In the
404
prolamin superfamily tree of Radauer and Breiteneder (Radauer & Breiteneder, 2007), the Allium
405
cepa nsLTP (192_ALLCE) is closed but not included in the type I nsLTPs. In our phylogenetic
406
tree, the three nsLTPs from Allium species were classified as type I. The 501_MEDTR medicago
407
nsLTP was suggested to belong to a new nsLTP subfamily involved in lipid signaling (Pii et al.,
408
2010) like Arabidopsis DIR1 (151_typeIV_ARATH). In our phylogenetic tree, both proteins
409
were identified as type IV nsLTPs. 410
411
The Theobroma cacao genome contains at least 46 nsLtp genes distributed across the ten
412
chromosomes. Several T. cacao nsLtp genes are organized in clusters, as observed in the rice,
413
Arabidopsis and sorghum genomes (Boutrot et al., 2008; Wang et al., 2012). Apart from nine
414
sequences that were classified in the new type XI, all other T. cacao nsLTPs were classified
415
within the previously identified types and belonged mainly to type I (14 sequences), type VI (7
416
sequences) and type V (6 sequences). 417
418
It is worth noting that all the nsLTPs identified as allergens (IgE binding) were type I, except one
419
type II nsLTP (545_BRACM). The 501_MEDTR nsLTP was also suggested to play a role in the
420
root nodulation process (Pii et al., 2009; Pii et al., 2013). Lipid signaling (lyso-
421
phosphatidylcholine) has been reported to be involved in symbiosis (Bucher et al., 2009). 422
This analysis was the most extensive so far and confirmed most of Boutrot’s classification, but
423
complements it due to a larger dataset and a more detailed phylogeny analysis. 424
425
2/ NsLTP structure analysis
426
427
NsLTP structure modeling
428
Given the nsLTP fold conservation and the quality of the available experimental structures,
429
reliable models could be obtained for all nsLTPs using the comparative modeling method,
430
although the sequence identity observed among all nsLTP sequences was only in the range of
431
25%. 432
Models deduced by fold-recognition using the @TOME-2 server displayed overall good quality,
433
as shown in Table 1 summarizing the Qmean scores. Manuscript to be reviewed In the same way, no type III, VIII, IX or XI were
391
identified within gymnosperm species. Ten out of the 16 moss P. patens nsLTPs were type IX,
392
the other 6 remained un-typed, and the only liverwort Marchantia polymorpha nsLTP was a type
393
VI. The 34 S. moellendorfii sequences were mainly types V and VI (15 and 7, respectively) and
394
seven nsLTPs belonged to the new type XI. The P. patens and S. moellendorfii nsLTPs formed
395
independent branches or were located at the same branch as type V in Wang’s phylogenetic tree
396
(Wang et al., 2012) and were included in type D in Edstam’s classification (Edstam et al., 2011). 397
However, Edstam’s type D included rice and Arabidopsis type IV, V and VI nsLTPs. Edstam’s
398
type G nsLTPs, which corresponded to GPI-anchored LTPs and types J and K, which did not fit
399
our molecular mass criteria or contain more than one 8CM motif were not included in our
400
dataset. 401
Manuscript to be review 363
defined on A. thaliana, T. aestivum and O. sativa nsLTP sequences, in nine types (Boutrot et al.,
364
2008). The main differences were the identification of a new group (named type XI), including
365
23 sequences, and that Boutrot’s type VII nsLTPs disappeared from our dataset. Indeed, the
366
latter did not satisfy the 8CM criteria as they have only seven cysteine residues in their
367
sequences. For the same reason, Wang’s A, B, C and D types (Wang et al., 2012) were not
368
represented in our classification. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed 442
NsLTP sequence – structure relationships
443
In order to challenge the structure – function relationship analysis on such a big set, we decided
444
to develop a new tool called FAST, which builds consensus sequences for each family, and
445
highlights the sequence conservation and specificities on the alignment and the associated 3D
446
structures. 447
Figure 3 shows the consensus sequence alignment for all nsLTP types. The pool of 797
448
sequences was clustered by type on the basis of regular expressions derived from the consensus
449
motifs described by Boutrot and coworkers (Boutrot et al., 2008). Each type subfamily was then
450
aligned individually and the resulting sequence profiles were globally aligned using MUSCLE. 451
452
Many residues specifically conserved in type I nsLTP1 corresponded to important folding
453
differences between type I nsLTPs on the one side and all other LTP types on the other side. In
454
the following sections, we list type I nsLTP-specific residues whose differential conservation
455
was supported by structural or experimental data. 456
457
First, Gly37, which was specifically conserved in type I nsLTPs, allowed very tight contact of
458
helix 1 and helix 2, which were connected by the disulfide bridge Cys17-Cys34. The closest
459
backbone distance between position 13 of helix 1 and position 37 of helix 2 was 3.34 Å in a type
460
I nsLTP structure (PDB code 1mid) while it was 6.45 Å in a type II nsLTP structure (PDB code
461
1tuk). These increased helix distances closed the ligand tunnel, which was opened in type I
462
nsLTPs between helix 1 and helix 3, and created two distinct cavities separated by a septum in
463
type II nsLTPs (Hoh et al., 2005). Larger distances between helix 1 and helix 2 were predicted in
464
all nsLTP sequences where Gly37 was mutated into larger residues (i.e. all types but I and XI)
465
and should cause major rearrangement of the ligand cavity entrance on this side of the proteins. 466
Arginine and lysine residues at position 51 and bulky hydrophobic residues at positions 87 and
467
89 were two other conserved specificities among type I nsLTPs. The side chains at position 51
468
had type I-specific polar interactions with the ligand at the cavity entrance near the C-terminal
469
loop, which were not found in other nsLTP types, as detailed later in Figure 4. Manuscript to be reviewed For 96% of the models, Qmean scores were
434
above 0.4, and 57% of the models obtained scores ranging from 0.5 to 0.9., corresponding to
435
scores for high-resolution proteins. 436
For 121 theoretical structures, the polypeptide chain could not be fully built and the resulting
437
models were lacking at least one of the 8 cysteine residues. Such models were discarded and
438
l th
l
t
l f 677 t
t
k
t f
f
th
l
i 402
According to Yi and coworkers (Yi et al., 2009), Allium nsLTPs may constitute a novel type of
403
nsLTPs harboring a C-terminal pro-peptide localized in endomembrane compartments. In the
404
prolamin superfamily tree of Radauer and Breiteneder (Radauer & Breiteneder, 2007), the Allium
405
cepa nsLTP (192_ALLCE) is closed but not included in the type I nsLTPs. In our phylogenetic
406
tree, the three nsLTPs from Allium species were classified as type I. The 501_MEDTR medicago
407
nsLTP was suggested to belong to a new nsLTP subfamily involved in lipid signaling (Pii et al.,
408
2010) like Arabidopsis DIR1 (151_typeIV_ARATH). In our phylogenetic tree, both proteins
409
were identified as type IV nsLTPs. 410 holine) has been reported to be involved in symbiosis (Bucher et al., 2009). 422
This analysis was the most extensive so far and confirmed most of Boutrot’s classification, but
423
complements it due to a larger dataset and a more detailed phylogeny analysis. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed Marginally, the most frequent
501
polar contacts involved the side chains of conserved arginines at position 46 of the type I nsLTP
502
alignment, lysines at position 54, aspartic acids at position 90, and various polar atoms of
503
histidines, lysines and asparagines at position 37. It should be stressed that none of these polar
504
interactions were shared by more than 31% of the protein-ligand complexes (fewer than 6/19
505
PDB structures) although the least similar protein pair from the 19 structure set shared 67%
506
sequence identities. This low level of polar contact conservation in homologous proteins with
507
very similar sequences clearly indicated that no specific polar interactions anchored the protein-
508
ligand complexes in particular conformations. From this statistical analysis of protein-ligand
509
polar contacts that did not exhibit a preferential cavity region for the interaction with the ligand
510
polar heads, it could not be concluded that there was a preferred ligand orientation in the type I
511
nsLTP tunnel. This observation was supported by recent protein-docking simulations and protein
512
binding evaluations, which also concluded on a lack of preferred orientations of the ligand in the
513
cavities of type I nsLTPs, and clear dominance of hydrophobic interactions in the protein-ligand
514
interface (Pacios et al., 2012). 515 16
Lastly, positions 82 to 94, which corresponded to the C-terminal loop, included some more
17
residues specifically conserved in nsLTPs. This loop was much longer in type I nsLTPs than in
18
other types, and had a major impact on the orientation of the ligand in the cavity, as shown in
19
Figure 4. Manuscript to be reviewed 482
in type I nsLTPs, while larger hydrophobic residues almost always occupied this buried position
483
in other nsLTP types. 484
485
The mutation to alanine of the residue at position 63 (residue 45 in Cheng's article) was also
486
shown experimentally to be destabilizing in type II nsLTPs (Cheng et al., 2008). This position
487
was occupied by large hydrophobic residues in all nsLTPs but types I and V, where alanine
488
residues were frequent, and type III, where it corresponded to a deletion of 12 consecutive
489
residues. 490
Other residues specifically conserved in type I nsLTPs were helix N-capping Thr6 and Thr47,
491
whose side chains formed stabilizing hydrogen bonds with the protein backbone, and Tyr20,
492
which was the center of a conserved hydrophobic cluster with Pro30 and Leu/Ile79. The
493
interaction of Tyr20 with Pro30 was experimentally confirmed by the large up field shift of
494
Pro30 (Hα, Hδ) protons (Poznanski et al., 1999). This conserved cluster was stabilizing the
495
interface between helices 1 and 4, but did not participate in the ligand cavity. This particular
496
helix interface was also observed in nsLTP types III, VI, VIII and XI. 497
498
We then analyzed the atomic interactions observed between type I nsLTPs and their associated
499
ligands in 19 PDB structures (supplementary data). Most contacts involved hydrophobic side
500
chains of the type I nsLTP proteins and carbons of the ligands. Marginally, the most frequent
501
polar contacts involved the side chains of conserved arginines at position 46 of the type I nsLTP
502
alignment, lysines at position 54, aspartic acids at position 90, and various polar atoms of
503
histidines, lysines and asparagines at position 37. It should be stressed that none of these polar
504
interactions were shared by more than 31% of the protein-ligand complexes (fewer than 6/19
505
PDB structures) although the least similar protein pair from the 19 structure set shared 67%
506
sequence identities. This low level of polar contact conservation in homologous proteins with
507
very similar sequences clearly indicated that no specific polar interactions anchored the protein-
508
ligand complexes in particular conformations. Manuscript to be reviewed 470
471
In addition, in type I nsLTPs, the 5th and 6th cysteine residues belonged to helix 3 and were
472
bridged with the first and 8th cysteines, respectively. These two-disulfide bridges tightened both
473
sequence termini to the protein core. Conversely, in types II and IV nsLTPs, the 5th and 6th
474
cysteines showed permuted bridging partners (to 8th and 1st cysteines, respectively). The
475
intermediate residue connecting the 5th and 6th cysteines was exposed to solvent in type I
476
nsLTPs, while it was replaced by a bulky hydrophobic residue interacting with the ligand in the
477
type II and IV nsLTP core at position 54 of the alignment. It was shown by site-directed
478
mutagenesis that the replacement of this intermediate residue by an alanine residue perturbed 442
NsLTP sequence – structure relationships 471
In addition, in type I nsLTPs, the 5th and 6th cysteine residues belonged to helix 3 and were
472
bridged with the first and 8th cysteines, respectively. These two-disulfide bridges tightened both
473
sequence termini to the protein core. Conversely, in types II and IV nsLTPs, the 5th and 6th
474
cysteines showed permuted bridging partners (to 8th and 1st cysteines, respectively). The
475
intermediate residue connecting the 5th and 6th cysteines was exposed to solvent in type I
476
nsLTPs, while it was replaced by a bulky hydrophobic residue interacting with the ligand in the
477
type II and IV nsLTP core at position 54 of the alignment. It was shown by site-directed
478
mutagenesis that the replacement of this intermediate residue by an alanine residue perturbed
479
folding, ligand binding and lipid transfer activity in type II nsLTPs (Cheng et al., 2008). The
480
position 54 in our alignment corresponds to residue 36 in Cheng's article. In the light of these
481
experiments, it is therefore interesting to note that alanine residues were frequent at position 54 PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed From this statistical analysis of protein-ligand
509
polar contacts that did not exhibit a preferential cavity region for the interaction with the ligand
510
polar heads, it could not be concluded that there was a preferred ligand orientation in the type I
511
nsLTP tunnel. This observation was supported by recent protein-docking simulations and protein
512
binding evaluations, which also concluded on a lack of preferred orientations of the ligand in the
513
cavities of type I nsLTPs, and clear dominance of hydrophobic interactions in the protein-ligand
514
interface (Pacios et al., 2012). 515
516
Lastly, positions 82 to 94, which corresponded to the C-terminal loop, included some more
517
residues specifically conserved in nsLTPs. This loop was much longer in type I nsLTPs than in 482
in type I nsLTPs, while larger hydrophobic residues almost always occupied this buried position
483
in other nsLTP types. 484
485
The mutation to alanine of the residue at position 63 (residue 45 in Cheng's article) was also
486
shown experimentally to be destabilizing in type II nsLTPs (Cheng et al., 2008). This position
487
was occupied by large hydrophobic residues in all nsLTPs but types I and V, where alanine
488
residues were frequent, and type III, where it corresponded to a deletion of 12 consecutive
489
residues. 490
Other residues specifically conserved in type I nsLTPs were helix N-capping Thr6 and Thr47,
491
whose side chains formed stabilizing hydrogen bonds with the protein backbone, and Tyr20,
492
which was the center of a conserved hydrophobic cluster with Pro30 and Leu/Ile79. The
493
interaction of Tyr20 with Pro30 was experimentally confirmed by the large up field shift of
494
Pro30 (Hα, Hδ) protons (Poznanski et al., 1999). This conserved cluster was stabilizing the
495
interface between helices 1 and 4, but did not participate in the ligand cavity. This particular
496
helix interface was also observed in nsLTP types III, VI, VIII and XI. 497 482
in type I nsLTPs, while larger hydrophobic residues almost always occupied this buried position
483
in other nsLTP types. 484 498
We then analyzed the atomic interactions observed between type I nsLTPs and their associated
499
ligands in 19 PDB structures (supplementary data). Most contacts involved hydrophobic side
500
chains of the type I nsLTP proteins and carbons of the ligands. Manuscript to be reviewed Lastly, the capping
545
hydrophic residues at positions 54 and 51 of types II and IV nsLTPs were also observed in all the
546
other nsLTP types. These conserved differences between type I and other types of nsLTP
547
sequences indicated with high confidence that the global fold of type I LTP differed from the
548
fold of the other nsLTP types and that the ligand cavity entries in type I nsLTPs were uniquely
549
located. 550
The fold of type I nsLTPs will be hereafter referred to as “Type-1 fold” and the alternative fold
551
of Types II to XI will be referred to as “Type-2 fold”. (in other words: Roman numerals I to XI
552
correspond to phylogeny analysis while Arabic numerals 1 or 2 refer to structural analysis)
553
554
The preceding analysis of the evolutive conservations specific to type I nsLTPs revealed many
555
residues whose role could be explained by local structural differences with the available types II
556
and IV nsLTP structures. This comparative structure analysis confirmed the clear separation
557
between type I and all the other nsLTP types initially observed in the phylogenetic tree inferred
558
from a multiple sequence alignment of the 797 available proteins. The key residues were usually
559
present in type I nsLTPs only and suggested that many structural differences observed when
560
comparing type I versus types II and IV nsLTPs should also be observed versus other nsLTP 522
The potential impact of variability within the nsLTP family on the tree dimensional structure of
523
the proteins was further investigated. As shown in Figure 4, the ligand cavity opening near the C-
524
Terminal loop was very different when we compared the nsLTP structures of type I versus those
525
of types II and IV. The C-terminal loops connected the 4 helices to the 3 helices through the
526
disulfide bridge between cysteine residues localized at alignment positions 95 and 55. Both
527
helices 2 and 3 and the C-terminal loop were longer in type I than in types II and IV nsLTPs. In
528
the type I nsLTPs, these elongations created a ligand cavity entrance along an axis perpendicular
529
to the figure plane, while in types II and IV nsLTPs, the entrance was approximately parallel
530
with the figure plane. Manuscript to be reviewed Consequently, ligands would access the cavities on opposite sides of the C-
531
terminal loop in type I versus types II and IV nsLTPs. Helix 2 and 3 were extended by an extra
532
turn in type I nsLTPs comparatively to the structures of the other types. Moreover, the small
533
space left in between helices 2 and 3 and the C-term loop was capped in types II and IV by bulky
534
hydrophobic residues (Phe54 in 1tuk and Phe51 in 2rkn), while that position was occupied by a
535
positively charged lysine or arginine in type I nsLTPs (red colored Arg51 in 1mid), whose side
536
chain formed a hydrogen bond with the polar tail of the ligand. 537 538
The structural differences observed between type I nsLTPs versus types II and IV can be
539
generalized to other nsLTP types by looking at the alignment of consensus sequences in Figure
540
3. First, the extension of helices 2 and 3 in type I nsLTPs corresponded to a 6- to 8-residue
541
insertion in the consensus sequence alignment, which differentiated type I from every other type
542
of nsLTPs. Secondly, the C-terminal loop connecting the last two cysteine residues was, on
543
average, 13 residues long in type I nsLTPs, while this loop was shortened to 6, 6, 7, 12, 9, 8, 6
544
and 9 residues long in types II, III, IV, V, VI, VIII, IX and XI, respectively. Lastly, the capping
545
hydrophic residues at positions 54 and 51 of types II and IV nsLTPs were also observed in all the
546
other nsLTP types. These conserved differences between type I and other types of nsLTP
547
sequences indicated with high confidence that the global fold of type I LTP differed from the
548
fold of the other nsLTP types and that the ligand cavity entries in type I nsLTPs were uniquely
549
located. 550
The fold of type I nsLTPs will be hereafter referred to as “Type-1 fold” and the alternative fold
551
of Types II to XI will be referred to as “Type-2 fold”. Manuscript to be reviewed 522
The potential impact of variability within the nsLTP family on the tree dimensional structure of
523
the proteins was further investigated. As shown in Figure 4, the ligand cavity opening near the C-
524
Terminal loop was very different when we compared the nsLTP structures of type I versus those
525
of types II and IV. The C-terminal loops connected the 4 helices to the 3 helices through the
526
disulfide bridge between cysteine residues localized at alignment positions 95 and 55. Both
527
helices 2 and 3 and the C-terminal loop were longer in type I than in types II and IV nsLTPs. In
528
the type I nsLTPs, these elongations created a ligand cavity entrance along an axis perpendicular
529
to the figure plane, while in types II and IV nsLTPs, the entrance was approximately parallel
530
with the figure plane. Consequently, ligands would access the cavities on opposite sides of the C-
531
terminal loop in type I versus types II and IV nsLTPs. Helix 2 and 3 were extended by an extra
532
turn in type I nsLTPs comparatively to the structures of the other types. Moreover, the small
533
space left in between helices 2 and 3 and the C-term loop was capped in types II and IV by bulky
534
hydrophobic residues (Phe54 in 1tuk and Phe51 in 2rkn), while that position was occupied by a
535
positively charged lysine or arginine in type I nsLTPs (red colored Arg51 in 1mid), whose side
536
chain formed a hydrogen bond with the polar tail of the ligand. 537
538
The structural differences observed between type I nsLTPs versus types II and IV can be
539
generalized to other nsLTP types by looking at the alignment of consensus sequences in Figure
540
3. First, the extension of helices 2 and 3 in type I nsLTPs corresponded to a 6- to 8-residue
541
insertion in the consensus sequence alignment, which differentiated type I from every other type
542
of nsLTPs. Secondly, the C-terminal loop connecting the last two cysteine residues was, on
543
average, 13 residues long in type I nsLTPs, while this loop was shortened to 6, 6, 7, 12, 9, 8, 6
544
and 9 residues long in types II, III, IV, V, VI, VIII, IX and XI, respectively. 562
guide the choice of templates when nsLTP types with unknown structures are modeled by
563
homology. 563
homology. 564
565
Structure classification
566
In order to correlate the evolution of protein sequences and the impact on the corresponding
567
structures, we produced a circular tree according to structural distances (Fig. 5). Whereas type I
568
remained together in this second classification, other phylogenetic types were relatively scattered
569
in the tree. A majority of type II nsLTPs remained together in this tree, as was also the case for
570
type IV and type III, but no clear and reliable segregation between all non-type I nsLTPs could
571
be made. Looking at the 3D structures allowed us to confirm the hypothesis that only two major
572
structural types could be distinguished. They will be hereafter referred to as “Type-1 fold” and
573
“Type-2 fold”. 574
Several studies also showed that type I and type II nsLTPs differed through the characteristics of
575
the residue standing between Cys5 and Cys6, being respectively hydrophilic in type I and apolar
576
in type II proteins (Douliez et al., 2001; Marion et al., 2004). Based on the multiple sequence
577
alignment of the 797 nsLTPs and observation of the nature of the central residue in the CXC
578
pattern, together with the observations made in the preceding sequence-structure analysis, we
579
suggest that types III, IV, V, VI, VIII, IX and XI nsLTP C5 and C6 residues will adopt the same
580
spatial conformation as type II proteins, i.e. the “Type-2 fold”. 581
582
NsLTP structure-function relationship
583
Dealing with big datasets can be cumbersome and requires a very efficient interface. To address
584
this challenge, we developed InTreeGreat, a Javascript/PHP interface, compatible with every
585
standard web navigator. It is able to display and explore any tree and to deal with branch and leaf
586
coloring, branch lengths, branch support (or any other branch labels), and can aggregate
587
heterogeneous data (annotations, expression profiles, etc.). Figure 6 shows how InTreeGreat can
588
be used to display phylogenic trees together with various types of annotations. 589
590
Among the annotated nsLTPs (433 out of 797), we focused on those that had been reported for
591
their role in plant defense and/or resistance against pathogens (bacteria and/or fungi). To
592
simplify, we shall hereafter refer to them as “defense nsLTPs” in the present discussion. Manuscript to be reviewed 562
guide the choice of templates when nsLTP types with unknown
563
homology. 564
565
Structure classification
566
In order to correlate the evolution of protein sequences and the
567
structures, we produced a circular tree according to structural d
568
remained together in this second classification, other phylogene
569
in the tree. A majority of type II nsLTPs remained together in t
570
type IV and type III, but no clear and reliable segregation betw
571
be made. Looking at the 3D structures allowed us to confirm th
572
structural types could be distinguished. They will be hereafter r
573
“Type-2 fold”. 574
Several studies also showed that type I and type II nsLTPs diff
575
the residue standing between Cys5 and Cys6, being respectivel
576
in type II proteins (Douliez et al., 2001; Marion et al., 2004). B
577
alignment of the 797 nsLTPs and observation of the nature of t
578
pattern, together with the observations made in the preceding s
579
suggest that types III, IV, V, VI, VIII, IX and XI nsLTP C5 and
580
spatial conformation as type II proteins, i.e. the “Type-2 fold”. 581
582
NsLTP structure-function relationship
583
Dealing with big datasets can be cumbersome and requires a ve
584
this challenge, we developed InTreeGreat, a Javascript/PHP int
585
standard web navigator. It is able to display and explore any tre
586
coloring, branch lengths, branch support (or any other branch l
587
heterogeneous data (annotations, expression profiles, etc.). Figu
588
be used to display phylogenic trees together with various types
589
590
Among the annotated nsLTPs (433 out of 797), we focused on
591
their role in plant defense and/or resistance against pathogens (
592
simplify, we shall hereafter refer to them as “defense nsLTPs”
593
investigating structural similarities between the 31 identified de
594
dataset, we attempted to identify key amino acid residues that w
595
SDM experiments as they may bestow their functional properti
596
Looking at the distribution of the defense nsLTPs in our structu
597
observed that they were predominantly found in the type I part
598
only 3 defense nsLTPs with a type II (85, 151, 501 - UniProtKB
599
transfer protein 2G, Q8W453: Putative lipid-transfer protein D
600
protein). We therefore preferred to focus on the Type-1 fold ns
601
trace(s) inside this important subfamily of nsLTPs. Manuscript to be reviewed (in other words: Roman numerals I to XI
552
correspond to phylogeny analysis while Arabic numerals 1 or 2 refer to structural analysis)
553 550
The fold of type I nsLTPs will be hereafter referred to as “Type-1 fold” and the alternative fold
551
of Types II to XI will be referred to as “Type-2 fold”. (in other words: Roman numerals I to XI
552
correspond to phylogeny analysis while Arabic numerals 1 or 2 refer to structural analysis) 554
The preceding analysis of the evolutive conservations specific to type I nsLTPs revealed many
555
residues whose role could be explained by local structural differences with the available types II
556
and IV nsLTP structures. This comparative structure analysis confirmed the clear separation
557
between type I and all the other nsLTP types initially observed in the phylogenetic tree inferred
558
from a multiple sequence alignment of the 797 available proteins. The key residues were usually
559
present in type I nsLTPs only and suggested that many structural differences observed when
560
comparing type I versus types II and IV nsLTPs should also be observed versus other nsLTP
561
types, particularly regarding ligand orientation and cavity entrances. This observation should PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed 562
guide the choice of templates when nsLTP types with unknown structures are modeled by
563
homology. 564
565
Structure classification
566
In order to correlate the evolution of protein sequences and the impact on the corresponding
567
structures, we produced a circular tree according to structural distances (Fig. 5). Whereas type I
568
remained together in this second classification, other phylogenetic types were relatively scattered
569
in the tree. A majority of type II nsLTPs remained together in this tree, as was also the case for
570
type IV and type III, but no clear and reliable segregation between all non-type I nsLTPs could
571
be made. Looking at the 3D structures allowed us to confirm the hypothesis that only two major
572
structural types could be distinguished. They will be hereafter referred to as “Type-1 fold” and
573
“Type-2 fold”. 574
Several studies also showed that type I and type II nsLTPs differed through the characteristics of
575
the residue standing between Cys5 and Cys6, being respectively hydrophilic in type I and apolar
576
in type II proteins (Douliez et al., 2001; Marion et al., 2004). Based on the multiple sequence
577
alignment of the 797 nsLTPs and observation of the nature of the central residue in the CXC
578
pattern, together with the observations made in the preceding sequence-structure analysis, we
579
suggest that types III, IV, V, VI, VIII, IX and XI nsLTP C5 and C6 residues will adopt the same
580
spatial conformation as type II proteins, i.e. the “Type-2 fold”. 581 562
guide the choice of templates when nsLTP types with unknown structures are modeled by
563
homology. By
593
investigating structural similarities between the 31 identified defense nsLTPs in our annotated
594
dataset, we attempted to identify key amino acid residues that would be good candidates for
595
SDM experiments as they may bestow their functional properties on these proteins. 596
Looking at the distribution of the defense nsLTPs in our structural classification (Figure 6) we
597
observed that they were predominantly found in the type I part of the tree (28 proteins), with
598
only 3 defense nsLTPs with a type II (85, 151, 501 - UniProtKB - P82900: Non-specific lipid-
599
transfer protein 2G, Q8W453: Putative lipid-transfer protein DIR1, O24101: Lipid transfer
600
protein). We therefore preferred to focus on the Type-1 fold nsLTPs and study the structural
601
trace(s) inside this important subfamily of nsLTPs. 582
NsLTP structure-function relationship 582
NsLTP structure-function relationship
583
Dealing with big datasets can be cumbersome and requires a very efficient interface. To address
584
this challenge, we developed InTreeGreat, a Javascript/PHP interface, compatible with every
585
standard web navigator. It is able to display and explore any tree and to deal with branch and leaf
586
coloring, branch lengths, branch support (or any other branch labels), and can aggregate
587
heterogeneous data (annotations, expression profiles, etc.). Figure 6 shows how InTreeGreat can
588
be used to display phylogenic trees together with various types of annotations. 589
590
Among the annotated nsLTPs (433 out of 797), we focused on those that had been reported for
591
their role in plant defense and/or resistance against pathogens (bacteria and/or fungi). To
592
simplify, we shall hereafter refer to them as “defense nsLTPs” in the present discussion. By
593
investigating structural similarities between the 31 identified defense nsLTPs in our annotated
594
dataset, we attempted to identify key amino acid residues that would be good candidates for
595
SDM experiments as they may bestow their functional properties on these proteins. 596
Looking at the distribution of the defense nsLTPs in our structural classification (Figure 6) we
597
observed that they were predominantly found in the type I part of the tree (28 proteins), with
598
only 3 defense nsLTPs with a type II (85, 151, 501 - UniProtKB - P82900: Non-specific lipid-
599
transfer protein 2G, Q8W453: Putative lipid-transfer protein DIR1, O24101: Lipid transfer
600
protein). We therefore preferred to focus on the Type-1 fold nsLTPs and study the structural
601
trace(s) inside this important subfamily of nsLTPs. p
583
Dealing with big datasets can be cumbersome and requires a very efficient interface. To address
584
this challenge, we developed InTreeGreat, a Javascript/PHP interface, compatible with every
585
standard web navigator. It is able to display and explore any tree and to deal with branch and leaf
586
coloring, branch lengths, branch support (or any other branch labels), and can aggregate
587
heterogeneous data (annotations, expression profiles, etc.). Figure 6 shows how InTreeGreat can
588
be used to display phylogenic trees together with various types of annotations. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed In the trace obtained for the group composed by all the other
625
Type-1 fold defense nsLTPs, both residues Asp and Ile were among the 4 best ranked residues
626
after the 8 Cys residues and also showed good coverage and rvEt scores (Table 2). 627
628
Three other residues located at positions 137, 154 and 266 of the structural alignment were
629
differently conserved in the three clusters. Interestingly, these three positions showed good
630
conservation ranking, but the variability of the three corresponding residues was notably higher
631
in the Type-1 fold cluster. Indeed, in the defense cluster trace, position 137 was occupied either
632
by a valine or by an alanine residue (Val7 in protein 525) and position 154 was occupied either
633
by a leucine or by a valine residue (Leu11 in protein 525). Thus, both positions were occupied by
634
hydrophobic residues in defense proteins, which was not always the case in Type-1 fold proteins
635
(Table 2). In the same way, position 266 was occupied either by an arginine or a lysine residue
636
(both positively charged residues) (Lys46 in protein 525) in defense proteins, but allowed greater
637
variability in terms of physicochemical properties in the other proteins harboring a Type-1 fold. 638
The fact that these three positions of the structural alignment belonged to the top 30% most 602
The cluster containing all Type-1 fold defense nsLTPs corresponded to the whole type I part of
603
the tree (402 members). The corresponding structural trace was calculated, but it could not be
604
linked to the defense function, as the proportion of annotated nsLTPs with a defense function
605
was too low (28 out of 402, i.e. 7%). 606
In order to obtain a meaningful trace of the potential defense function, we needed to select a
607
cluster with a higher proportion of annotated defense nsLTPs. The best cluster we could find was
608
a relatively small cluster (43 members) of proteins with a structural distance no greater than 1.5Å
609
(i.e. 1.5 cut off), which contained 33% of the defense nsLTPs (i.e. 10 out of 31 proteins). This
610
cluster will be referred to as “defense cluster” in the further discussion. 611 611
612
The structural trace of the defense cluster showed several differences in comparison with the
613
structural trace of the Type-1 fold cluster (Table 2). Manuscript to be reviewed Apart from the 8 Cys residues that were
614
common to all nsLTPs, the 30% top ranked (i.e. 27 residues) most conserved residues were not
615
the same, or did not come in the same order in both traces. According to the defense cluster
616
trace, residue Asp at position 259 of the alignment (Asp45 in protein 525) was as strongly
617
conserved as the 8 Cys residues. Residue Ile at position 402 (Ile80 in protein 525) was among the
618
4 best ranked residues after the 8 Cys residues and obtained a very low coverage, variability and
619
rvET score. In terms of the ranking of these two (amino acid) residues in the Type-1 fold nsLTP
620
trace, they appeared to occur much later in the ranking (20th and 21st rank, respectively) with
621
much higher rvET scores and large variability in terms of the number and physico-chemical
622
properties of the residues (Table 2). It can be suggested that these two residues were not critical
623
for maintaining structure integrity, but could bestow functional specificity on the proteins
624
classified in the defense cluster. In the trace obtained for the group composed by all the other
625
Type-1 fold defense nsLTPs, both residues Asp and Ile were among the 4 best ranked residues
626
after the 8 Cys residues and also showed good coverage and rvEt scores (Table 2). 627
628
Three other residues located at positions 137, 154 and 266 of the structural alignment were
629
differently conserved in the three clusters. Interestingly, these three positions showed good
630
conservation ranking, but the variability of the three corresponding residues was notably higher
631
in the Type-1 fold cluster. Indeed, in the defense cluster trace, position 137 was occupied either
632
by a valine or by an alanine residue (Val7 in protein 525) and position 154 was occupied either
633
by a leucine or by a valine residue (Leu11 in protein 525). Thus, both positions were occupied by
634
hydrophobic residues in defense proteins, which was not always the case in Type-1 fold proteins
635
(Table 2). In the same way, position 266 was occupied either by an arginine or a lysine residue
636
(both positively charged residues) (Lys46 in protein 525) in defense proteins, but allowed greater
637
variability in terms of physicochemical properties in the other proteins harboring a Type-1 fold. Manuscript to be reviewed Manuscript to be reviewed 602
The cluster containing all Type-1 fold defense nsLTPs corresponded to the whole type I part of
603
the tree (402 members). The corresponding structural trace was calculated, but it could not be
604
linked to the defense function, as the proportion of annotated nsLTPs with a defense function
605
was too low (28 out of 402, i.e. 7%). 606
In order to obtain a meaningful trace of the potential defense function, we needed to select a
607
cluster with a higher proportion of annotated defense nsLTPs. The best cluster we could find was
608
a relatively small cluster (43 members) of proteins with a structural distance no greater than 1.5Å
609
(i.e. 1.5 cut off), which contained 33% of the defense nsLTPs (i.e. 10 out of 31 proteins). This
610
cluster will be referred to as “defense cluster” in the further discussion. 611
612
The structural trace of the defense cluster showed several differences in comparison with the
613
structural trace of the Type-1 fold cluster (Table 2). Apart from the 8 Cys residues that were
614
common to all nsLTPs, the 30% top ranked (i.e. 27 residues) most conserved residues were not
615
the same, or did not come in the same order in both traces. According to the defense cluster
616
trace, residue Asp at position 259 of the alignment (Asp45 in protein 525) was as strongly
617
conserved as the 8 Cys residues. Residue Ile at position 402 (Ile80 in protein 525) was among the
618
4 best ranked residues after the 8 Cys residues and obtained a very low coverage, variability and
619
rvET score. In terms of the ranking of these two (amino acid) residues in the Type-1 fold nsLTP
620
trace, they appeared to occur much later in the ranking (20th and 21st rank, respectively) with
621
much higher rvET scores and large variability in terms of the number and physico-chemical
622
properties of the residues (Table 2). It can be suggested that these two residues were not critical
623
for maintaining structure integrity, but could bestow functional specificity on the proteins
624
classified in the defense cluster. Manuscript to be reviewed 644
645
Figure 7 shows the five residues highlighted in Table 2 in the 3D structural context of the
646
representative protein of the defense cluster (protein 525). In this protein, conserved residues
647
Asp and Ile were located at positions 45 and 80, respectively. The two small hydrophobic
648
residues were Val7 and Leu11 and the positively charged residue was Lys46. All five key
649
residues were located around the ligand cavity (Figure 7), which allowed either guidance or
650
direct contact with the lipid. This observation was consistent with the suggested hypothesis. 651
652
NsLTP sequence-structure analyses using either FAST or STD revealed some key residues or
653
key positions (in type I: Gly37, Arg/Lys51, bulky hydrophobic residues 87 and 89, Ala54, Thr6,
654
Thr47, Tyr20, Pro30, Leu/Ile79, longer C-terminal loop; large hydrophobic residue 63 in types
655
II, III, IV, VI, VIII, IX nsLTPs). The structural trace analysis highlighted other amino acid
656
residues (in type I defense/resistance nsLTPs: Asp45, Ile80, Val/Ala7, Leu/Val11, Arg/Lys46). It
657
is important to note that these two complementary analyses by FAST and STD were not meant to
658
lead to the same kind of conclusions. Indeed, using sequence information projected on the 3D
659
structure, the first method revealed nsLTP-type-specific amino acid residues that could be
660
involved in structure stabilization and/or ligand interaction, given their structural context. The
661
second method however considered a set of functionally close nsLTPs sharing a very similar
662
structure and highlighted over-representatively conserved amino acid residues that might thus
663
bestow functional specificity on these proteins. These two approaches took inverse directions in
664
the path sequence – structure – function. The “sequence-to-function” method would lead to
665
more precise conclusions if more data about the inner structural mechanisms of lipid binding
666
were available (only a few structures of nsLTP-lipid complexes have been experimentally
667
determined so far). The “function-to-sequence” method would give us a better overview of the
668
range of nsLTP activities if the functional data were not so rare and heterogeneous. Manuscript to be reviewed 638
The fact that these three positions of the structural alignment belonged to the top 30% most
639
conserved among all Type-1 fold nsLTPs suggested their importance in these proteins. However,
640
because the variability at these three positions was very small among defense nsLTPs and
641
because the physico-chemical property was strongly conserved, we suspected that residues
642
located at positions 137, 154 and 266 of the structural alignment might bestow functional
643
specificity, at least in the case of defense/resistance proteins. 612
The structural trace of the defense cluster showed several differences in comparison with the
613
structural trace of the Type-1 fold cluster (Table 2). Apart from the 8 Cys residues that were
614
common to all nsLTPs, the 30% top ranked (i.e. 27 residues) most conserved residues were not
615
the same, or did not come in the same order in both traces. According to the defense cluster
616
trace, residue Asp at position 259 of the alignment (Asp45 in protein 525) was as strongly
617
conserved as the 8 Cys residues. Residue Ile at position 402 (Ile80 in protein 525) was among the
618
4 best ranked residues after the 8 Cys residues and obtained a very low coverage, variability and
619
rvET score. In terms of the ranking of these two (amino acid) residues in the Type-1 fold nsLTP
620
trace, they appeared to occur much later in the ranking (20th and 21st rank, respectively) with
621
much higher rvET scores and large variability in terms of the number and physico-chemical
622
properties of the residues (Table 2). It can be suggested that these two residues were not critical
623
for maintaining structure integrity, but could bestow functional specificity on the proteins
624
classified in the defense cluster. In the trace obtained for the group composed by all the other
625
Type-1 fold defense nsLTPs, both residues Asp and Ile were among the 4 best ranked residues
626
after the 8 Cys residues and also showed good coverage and rvEt scores (Table 2). 627 PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed 669 670
However, we assumed that this combination of approaches i) allowed structure-sequence
671
analysis for large multigene families, ii) could reveal structural patterns related to functions that
672
were not revealed so far, as alignments would have been limited to primary sequences only and
673
iii) allowed a comparison of groups composed of proteins with an evolutionary connection with
674
groups displaying structural similarity. 675
676
677
DISCUSSION
678
679
A) We combined two powerful alignment algorithms (MAFFT and MUSCLE) together with a
680
3D projection of the impact of alignment on the structure of proteins (VITO). Real-time
681
monitoring of the impact of gap positions and lengths on the resulting 3D model offered the
682
possibility of discriminating between various alignment possibilities. This allowed us to provide
683
definitive insight into the old debate about the CXC pattern and its implication for the structure PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed This was understandable, because phylogeny compares the different
713
proteins with a much larger number of parameters (site-to-site mutation, classification of sites by
714
mutation rate, use of refined distance matrix, etc.) while the structure tree only uses the RMSD
715
of the structures taken 2 by 2. While this innovative information was very interesting, it could
716
potentially be improved if we had templates from each sub-family for the generation of
717
molecular models (experimental structures are available for Type I, II and IV). Indeed, at this
718
level of analysis, it is conceivable that models obtained from experimental structures for the
719
other types (III, V, VI, VII, VIII, IX and XI) would provide improved models allowing the
720
detection of other key residues. 721
722 684
of LTPs (Douliez et al. 2000). The resulting alignment allowed us to classify unambiguously all
685
797 sequences in main two nsLTP families. 686
687
B) The phylogenetic analysis was the most extensive to date, including 797 nsLTP sequences. 688
This was a much more complete description than the previous one (195 sequences, Wang et al.,
689
2012). 690
This phylogenetic analysis was conducted from a clearly defined dataset: sequences were
691
selected using unambiguous parameters optimizing the quality of the output tree, also
692
considering our 3D structural integration objective. Although GPI-Anchored LTP could have
693
been included in this study, their incomplete homology with other LTPs and the lack of any
694
experimental 3D structure, convinced us not to include them. Thanks to this choice, alignment
695
quality was preserved, and a better-quality 3D structural model are used. This analysis allowed
696
us to classify unambiguously all 797 sequences in the main two nsLTP families, complementing
697
and reinforcing the former classification by Boutrot (Boutrot et al. 2008). 698
699
C) The production of more than 600 3D structural models and the collection of numerous
700
functional annotations enabled progress to be made in the study of structure-function
701
relationships of nsLTPs. The re-use of the ETD method in a close and adapted form (STD) led to
702
the identification of amino acids involved in the functional specialization of some nsLTPs. 703
STD allowed us to highlight amino acids specific to certain functions. One of the limiting points
704
of this analysis remained the publication bias. Manuscript to be reviewed 684
of LTPs (Douliez et al. 2000). The resulting alignment allowed us to classify unambiguously all
685
797 sequences in main two nsLTP families. 686
687
B) The phylogenetic analysis was the most extensive to date, including 797 nsLTP sequences. 688
This was a much more complete description than the previous one (195 sequences, Wang et al.,
689
2012). 690
This phylogenetic analysis was conducted from a clearly defined dataset: sequences were
691
selected using unambiguous parameters optimizing the quality of the output tree, also
692
considering our 3D structural integration objective. Although GPI-Anchored LTP could have
693
been included in this study, their incomplete homology with other LTPs and the lack of any
694
experimental 3D structure, convinced us not to include them. Thanks to this choice, alignment
695
quality was preserved, and a better-quality 3D structural model are used. This analysis allowed
696
us to classify unambiguously all 797 sequences in the main two nsLTP families, complementing
697
and reinforcing the former classification by Boutrot (Boutrot et al. 2008). 698
699
C) The production of more than 600 3D structural models and the collection of numerous
700
functional annotations enabled progress to be made in the study of structure-function
701
relationships of nsLTPs. The re-use of the ETD method in a close and adapted form (STD) led to
702
the identification of amino acids involved in the functional specialization of some nsLTPs. 703
STD allowed us to highlight amino acids specific to certain functions. One of the limiting points
704
of this analysis remained the publication bias. Indeed, the annotations were not evenly
705
distributed among available sequences, nor was it possible to distinguish between an unsearched
706
function and a function not found. It seemed difficult to propose a solution to circumvent this
707
bias (Douliez et al. 2000). 708
709
D) The structure tree clearly showed that all Type I ns-LTPs adopted the same folding (Type-1
710
fold), while all the other proteins adopted the second fold (Type-2 fold). This approach seemed
711
very interesting but did not offer the same level of detail and the same analytical power as the
712
phylogenetic approach. Manuscript to be reviewed 758
To researchers who may not grasp the importance of the protein structure-function relationships
759
we would like to insist on three main contributions of the methods presented in this work:
760
- The structural classification agrees with the sequence classification by phylogenetic types. 761
- The sequence-structure analysis highlights key-residues explaining the specificities of the
762
different folds. 763
- The structure-function analysis based on the evolutionary trace of the aligned sequences can
764
show the functional signature of a subfamily of proteins. 725
Plant non-specific Lipid Transfer Proteins constitute a complex family of proteins whose
726
biological functions are far from well understood. However, it has become clear for years that
727
they are of increasing interest for agronomical and nutritional issues. 728
Experimental approaches are irreplaceable for accessing their inner functional mechanisms. 729
However, such methods are expensive and time-consuming. Furthermore, they produce a large
730
amount of heterogeneous data. For all these reasons, resorting to bioinformatics methods has
731
long become necessary to organize and analyze existing data, and/or model and hypothesize new
732
data. 733
This paper presented a new methodology based on the combination of either classical or original
734
bioinformatics approaches, using various computational tools to extract information and suggest
735
new hypotheses from a large pool of experimental data about the plant nsLTP superfamily of
736
proteins. 737
In this paper, we:
738
1) Suggested a new definition of the nsLTP superfamily, with a set of criteria based on sequence
739
length, sequence composition (e.g. Cys involved in SS bonds) and structure (monodomain). 740
2) Confirmed and enriched Boutrot’s phylogenetic classification of plant nsLTP sequences. 741
3) Demonstrated the need for a small shift in the CXC alignment that reflected the existence of
742
two main distinct nsLTP folds. 743
4) Calculated 666 good quality theoretical three-dimensional structures of nsLTPs. 744
5) Developed an original alignment tool to detect conserved and specific positions among the
745
different phylogenetic types of nsLTPs. 746
6) Used the latter tool to reveal some key residues. 747
7) Suggested a new structure-based classification of the 676 nsLTP structures now available (10
748
experimental + 666 theoretical), which that allow clustering by structural similarity. 749
8) Annotated all available information about the function. 750
9) Developed an original interface allowing quick visualization of several types of annotations
751
on any phylogenetic tree. Manuscript to be reviewed 725
Plant non-specific Lipid Transfer Proteins constitute a complex family of proteins whose
726
biological functions are far from well understood. However, it has become clear for years that
727
they are of increasing interest for agronomical and nutritional issues. 728
Experimental approaches are irreplaceable for accessing their inner functional mechanisms. 729
However, such methods are expensive and time-consuming. Furthermore, they produce a large
730
amount of heterogeneous data. For all these reasons, resorting to bioinformatics methods has
731
long become necessary to organize and analyze existing data, and/or model and hypothesize new
732
data. 733
This paper presented a new methodology based on the combination of either classical or original
734
bioinformatics approaches, using various computational tools to extract information and suggest
735
new hypotheses from a large pool of experimental data about the plant nsLTP superfamily of
736
proteins. 737
In this paper, we:
738
1) Suggested a new definition of the nsLTP superfamily, with a set of criteria based on sequence
739
length, sequence composition (e.g. Cys involved in SS bonds) and structure (monodomain). 740
2) Confirmed and enriched Boutrot’s phylogenetic classification of plant nsLTP sequences. 741
3) Demonstrated the need for a small shift in the CXC alignment that reflected the existence of
742
two main distinct nsLTP folds. 743
4) Calculated 666 good quality theoretical three-dimensional structures of nsLTPs. 744
5) Developed an original alignment tool to detect conserved and specific positions among the
745
different phylogenetic types of nsLTPs. 746
6) Used the latter tool to reveal some key residues. 747
7) Suggested a new structure-based classification of the 676 nsLTP structures now available (10
748
experimental + 666 theoretical), which that allow clustering by structural similarity. 749
8) Annotated all available information about the function. 750
9) Developed an original interface allowing quick visualization of several types of annotations
751
on any phylogenetic tree. 752
10) Revealed, using structural trace analysis, potential specific amino acid residues involved in
753
plant defense and/or resistance against pathogens
754
755
Our work was made more difficult by the problems of annotation bias for which we did not
756
expect a practical solution. However, it seemed that some of our results could be improved if we
757
had additional experimental structures for all types of nsLTPs. Manuscript to be reviewed Indeed, the annotations were not evenly
705
distributed among available sequences, nor was it possible to distinguish between an unsearched
706
function and a function not found. It seemed difficult to propose a solution to circumvent this
707
bias (Douliez et al. 2000). 708
709
D) The structure tree clearly showed that all Type I ns-LTPs adopted the same folding (Type-1
710
fold), while all the other proteins adopted the second fold (Type-2 fold). This approach seemed
711
very interesting but did not offer the same level of detail and the same analytical power as the
712
phylogenetic approach. This was understandable, because phylogeny compares the different
713
proteins with a much larger number of parameters (site-to-site mutation, classification of sites by
714
mutation rate, use of refined distance matrix, etc.) while the structure tree only uses the RMSD
715
of the structures taken 2 by 2. While this innovative information was very interesting, it could
716
potentially be improved if we had templates from each sub-family for the generation of
717
molecular models (experimental structures are available for Type I, II and IV). Indeed, at this
718
level of analysis, it is conceivable that models obtained from experimental structures for the
719
other types (III, V, VI, VII, VIII, IX and XI) would provide improved models allowing the
720
detection of other key residues. 721
722 684
of LTPs (Douliez et al. 2000). The resulting alignment allowed us to classify unambiguously all
685
797 sequences in main two nsLTP families. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed Ma, Z., Zhang, Y.,
791
Brown S Bourge M Golser W Song X Clement D Rivallan R Tahi M
Akaza J M 789
S.C., Carlson, J.E., Sallet, E., Schiex, T., Dievart, A., Kramer, M., Gelley, L., Shi, Z. Bérard, A., ,
,
,
,
,
,
,
,
,
,
,
y,
,
,
,
,
790
Viot, C., Boccara, M., Risterucci, A-M. Guignon, V., Sabau, X., Axtell, M.J. Ma, Z., Zhang, Y.,
791
Brown S Bourge M Golser W Song X Clement D Rivallan R Tahi M
Akaza J M 790
Viot, C., Boccara, M., Risterucci, A-M. Guignon, V., Sabau, X., Axtell, M.J. Ma, Z., Zhang, Y., 91
Brown, S., Bourge, M., Golser, W., Song, X., Clement, D., Rivallan, R., Tahi 792
Pitollat, B., Gramacho, K., D’Hont, A., Brunel, D., Infante, D., Kebe, I., Costet, P., Wing, R., 793
McCombie, W.R., Guiderdoni, E., Quetier, F., Panaud, O., Wincker, P., Bocs, S., and Lanaud, C. 794
(2011). The genome of Theobroma cacao. Nat. Genet. 43, 101–108. 794
(2011). The genome of Theobroma cacao. Nat. Genet. 43, 101–108. 795
Arondel, V., Vergnolle, C., Cantrel, C., and Kader, J. (2000). Lipid transfer proteins are encoded
796
by a small multigene family in Arabidopsis thaliana. Plant Sci. Int. J. Exp. Plant Biol. 157, 1–12. 797
Aziz, N., Paiva, N.L., May, G.D., and Dixon, R.A. (2005). Transcriptome analysis of alfalfa
798
glandular trichomes. Planta 221, 28–38. 795
Arondel, V., Vergnolle, C., Cantrel, C., and Kader, J. (2000). Lipid transfer proteins are encoded
796
by a small multigene family in Arabidopsis thaliana. Plant Sci. Int. J. Exp. Plant Biol. 157, 1–12. 796
by a small multigene family in Arabidopsis thaliana. Plant Sci. Int. J. Exp. Plant Biol. 157, 1 12. 797
Aziz, N., Paiva, N.L., May, G.D., and Dixon, R.A. (2005). Transcriptome analysis of alfalfa
798
glandular trichomes. Planta 221, 28–38. 799
Bendtsen, J.D., Nielsen, H., von Heijne, G., and Brunak, S. (2004). Improved prediction of
800
signal peptides: SignalP 3.0. J. Mol. Biol. 340, 783–795. 801
Benkert, P., Tosatto, S.C.E., and Schomburg, D. (2008). QMEAN: A comprehensive scoring
802
function for model quality assessment. Proteins 71, 261–277. 801
Benkert, P., Tosatto, S.C.E., and Schomburg, D. (2008). QMEAN: A comprehensive scoring
802
function for model quality assessment. Proteins 71, 261–277. 803
Benkert, P., Biasini, M., and Schwede, T. (2011). Toward the estimation of the absolute quality
804
of individual protein structure models. Bioinforma. Oxf. Engl. Manuscript to be reviewed 765
Furthermore, the structural dichotomy between type I nsLTPs and all the others may go
766
unnoticed by anyone who would focus on one sequence and who would not conduct a combined
767
analysis on a large set of sequences. We encourage researchers studying nsLTPs to use this
768
approach combining sequence alignment, phylogeny and structural biochemistry. This would
769
enhance the power of the analysis by drawing a connection between primary sequence, three-
770
dimensional structure and function. 771
More broadly, we consider that this type of combined approach should be favored for any study
772
involving a multigenic family. 777
This work was supported by the CIRAD - UMR AGAP HPC Data Centre of the South Green
778
Bioinformatics platform. 777
This work was supported by the CIRAD - UMR AGAP HPC Data Centre of the South Green
778
Bioinformatics platform 777
This work was supported by the CIRAD - UMR AGAP HPC Data Centre 779
The authors are thankful to Dr. Franck Molina for his key role at the beginning of this project
780
and all the fruitful and friendly discussions. 779
The authors are thankful to Dr. Franck Molina for his key role at the beginning of this project
780
and all the fruitful and friendly discussions. 781
We are thankful to Peter Biggins for the careful and critical review of this manuscript. 782 781
We are thankful to Peter Biggins for the careful and critical review of this manuscript. 782 781
We are thankful to Peter Biggins for the careful and critical review of this manuscript. 782 781
We are thankful to Peter Biggins for the careful and critical review of this m
782 786
Argout, X., Salse, J., Aury, J-M., Guiltinan, M.J.,Droc, G., Gouzy, J., Alleg 787
Legavre, T., Maximova, S.N., Abrouk, M., Murat, F., Fouet, O., Poulain, J., Ruiz, M., Roguet, 788
Y., Rodier-Goud, M., Barbosa-Neto, J.F., Sabot, F., Kudrna, D., Ammiraju 788
.,
od e Goud,
.,
a bosa Ne o, J. ., Sabo ,
.,
ud
a,
.,
aju, J.S.S., Sc us e ,
789
S.C., Carlson, J.E., Sallet, E., Schiex, T., Dievart, A., Kramer, M., Gelley, L., Shi, Z. Bérard, A.,
790
Viot, C., Boccara, M., Risterucci, A-M. Guignon, V., Sabau, X., Axtell, M.J. Manuscript to be reviewed 752
10) Revealed, using structural trace analysis, potential specific amino acid residues involved in
753
plant defense and/or resistance against pathogens
754
755
Our work was made more difficult by the problems of annotation bias for which we did not
756
expect a practical solution. However, it seemed that some of our results could be improved if we
757
had additional experimental structures for all types of nsLTPs. 758
To researchers who may not grasp the importance of the protein structure-function relationships
759
we would like to insist on three main contributions of the methods presented in this work:
760
- The structural classification agrees with the sequence classification by phylogenetic types. 761
- The sequence-structure analysis highlights key-residues explaining the specificities of the
762
different folds. 763
- The structure-function analysis based on the evolutionary trace of the aligned sequences can
764
show the functional signature of a subfamily of proteins. 725
Plant non-specific Lipid Transfer Proteins constitute a complex family of proteins whose
726
biological functions are far from well understood. However, it has become clear for years that
727
they are of increasing interest for agronomical and nutritional issues. 4) Calculated 666 good quality theoretical three-dimensional structures of nsLTPs. 744
5) Developed an original alignment tool to detect conserved and specific positions among the
745
different phylogenetic types of nsLTPs. 747
7) Suggested a new structure-based classification of the 676 nsLTP structures now available (10
748
experimental + 666 theoretical), which that allow clustering by structural similarity. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed 805
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194. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Figure 1 Effect of alternate cysteine residue alignments on the superposition of type I and II
nsLTP experimentally determined structures. (A) Common alignment of Cys5 (type I), Cys5’ (types II and IV) (green) and Cys6 (type I),
Cys6’ (types II and IV) (magenta) of nsLTP sequences generated by MUSCLE. Only nsLTPs
(PDB IDs) with known experimental structures were considered. (C) 3D projection of this
alignment leads to an RMSD of 7.32 Å between type I (blue backbone) Cys6 and type II (pink
backbone) Cys6’, colorized as in (A). (B) Type I, II and IV nsLTP alignment generated by the
MAFFT program, suggesting that type I Cys5 (dark green) corresponds to type II Cys6’ (light
green) rather than type II Cys5’. (D) 3D projection of this alignment leads to an RMSD of 2.15
Å between type I Cys5 and type II Cys6’, colorized as in (B). Note that type IV nsLTPs are
structurally close to type II nsLTPs. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed Manuscript to be reviewed PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Figure 2 NsLTP sequence classification. Manuscript to be reviewed Manuscript to be reviewed NsLTP sequence classification. Dendrogram built on MAFFT alignment of the 797 nsLTP sequences, using Dendroscope
program (Huson and Scornavacca 2012). The different nsLTP types are displayed using
various colors and the number of sequences in each type is specified in parenthesis. Branch
support values of each group are indicated on the corresponding nodes. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed Consensus sequence alignment for all nsLTP types. The indicated amino acids are the most frequent for each type of nsLTP and vertical arrows indicate
residues analyzed in detail in the text below. The residues are colored as follows: 1. The sequences were sorted according to the FastME phylogenetic
tree order. 2. A color was assigned to each sorted sequence according to a rainbow color gradient order. 3. Let i be a position of the alignment, a(i) be an amino acid at position i and A(a(i),i) be the amino acid cluster
to which a(i) belongs and which has the lowest Fisher’s test probability FP(A(a(i),i)) relatively to any tree
cluster. The color of each aligned amino acid a(i) is coded using the Hue-Saturation-Value color space: the color hue
of a(i) corresponds to the hue of the median sequence containing an amino acid of the cluster A(a(i),i) at
position i. The color saturation of a(i) is proportional to the specificity score -log(FP(A(a(i),i))). The color
value or intensity of a(i) is reversely proportional to the conservation score of the column i. The more
conserved an amino acid cluster is, the darker its color will be, and the more specific to a phylogenetic
group an amino acid cluster is, the more saturated its color will be. Consequently, the globally conserved
amino acid clusters are highlighted as dark grey or black columns in the sequence alignment while the
amino acids cluster specific to a subgroup of related sequences are highlighted by aligned amino acids with
same saturated colors. Furthermore, the amino acid specifically conserved in a given protein can then easily
be detected by looking at the residues with colors similar to the sequence name color. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed Figure 4 Cartoon representation of the crystallographic structures 1mid (type I), 1tuk (type II)
and 2rkn (type IV). The residues are numbered and colored as in the multiple sequence alignment of Figure 3. The ligands are represented as ball and sticks (carbon in white, oxygen in red). Some
determining amino acid side chains are also displayed. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Figure 6 InTreeGreat view of the structure tree. Manuscript to be reviewed NsLTP structure classification. Dendrogram built on Mustang structure-based sequence alignment of the 727 nsLTPs for
which a reliable 3D model has been calculated. The two main fold types are displayed in red
(type 1 fold) and black (type 2 fold). In order to study their distribution in term of structural
families, nsLTP structures are colored according to the previously determined phylogenetic
type they belong to (same colors as used in figure 2). Phylogenetic type I nsLTPs display the
type 1 fold and all other nsLTPs follow the type 2 fold. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed Manuscript to be reviewed PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) InTreeGreat view of the structure tree. The left pane shows the phylogenic tree of the nsLTP structures colored according to type
and the right pane represents a close-up of the Type I (colored in red) part of the tree. For
clarity, some sub tree parts for which no annotation was available have been collapsed. They
appear as grey triangle and the number of structures they contain is indicated. NsLTPs for
which a functional annotation is available are highlighted with a grey box in the left column. On the right side of the tree several columns appear that correspond to annotations (PO,
GO), number of leaves in a collapsed sub-tree together with colored boxes. The first column
of boxes shows alternative colors to enhance the clusters, the other ones correspond to each
keyword selected among the annotations of the database (here: “defense” or “resistance”). Keywords “defense” or “resistance” used in functional annotation are highlighted with a
colored box (blue and red respectively). The “defense cluster” (see text) has been enlarged
(black border) for a better view. Manuscript to be reviewed PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed Manuscript to be reviewed Manuscript to be reviewed Table 1(on next page) Figure 7 Conserved amino acid residues among the so-called defense cluster, displayed on the
3D structure of nsLTP 525, (“LTP”, UniProtKB - Q1KMV1). The more the residue is conserved in the 3D alignment, the redder its color appears, then
orange, yellow and green. Residues with no significative conservation appears in white on
the figure. Residues highlighted in table 2 and which potential functional implication is
discussed (see text) are labeled on the figure. PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Qmean scores obtained by the 797 theoretical models of nsLTPs of this study. Qmean scores obtained by the 797 theoretical models of nsLTPs of this study. Models obtained by @tome2 present an overall good quality as shown in Table 1 that
summarizes the Qmean scores. For 95,85% of the models, Qmean scores are above 0.4 and
57% of the models obtained scores ranging from 0.5 to 0.9, which correspond to scores for
high-resolution proteins. It is known that disordered protein regions are very flexible regions. While submitted to automatic evaluation, these flexible regions will be considered as regions
of bad quality modeling, leading to lower Qmean scores (Benkert, Tosatto et al. 2008; Models obtained by @tome2 present an overall good quality as shown in Table 1 that
summarizes the Qmean scores. For 95,85% of the models, Qmean scores are above 0.4 and
57% of the models obtained scores ranging from 0.5 to 0.9, which correspond to scores for
high-resolution proteins. It is known that disordered protein regions are very flexible regions. While submitted to automatic evaluation, these flexible regions will be considered as regions
of bad quality modeling, leading to lower Qmean scores (Benkert, Tosatto et al. 2008;
Benkert, Biasini et al. 2011). Small proteins tend to have lower scores than larger proteins,
because of the lower proportion of secondary structures compared to random coils. However,
the set of theoretical models calculated by @tome2 obtained overall good Qmean scores.NB:
for 121 theoretical structures, the polypeptide chain could not be fully built and the resulting
models were lacking at least one of the 8 cysteine residues. Such models were discarded and
a new pool of 677 structures was retained for further analysis.The models are available at:
http://atome.cbs.cnrs.fr/AT2B/SERVER/LTP.html Manuscript to be reviewed Table 2(on next page) PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed Qmean score (Q)
Nb. of models
Dataset proportion
Q < 0.2
0
0%
0.2 < Q < 0.3
1
0.1%
0.3 < Q < 0.4
30
4%
0.4 < Q < 0.5
173
22%
0.5 < Q < 0.6
309
39%
0.6 < Q < 0.7
221
28%
0.7 < Q < 0.8
43
5%
0.8 < Q < 0.9
9
1%
0.9 < Q
1
0.1% PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Compared analysis of Evolutionary Trace of three groups of nsLTPs. Compared analysis of Evolutionary Trace of three groups of nsLTPs. Compared analysis of Evolutionary Trace of three groups of nsLTPs: (A) the defense cluster
(43 proteins), (B) the cluster containing all type 1 fold nsLTPs (402 proteins) and (C) a group
composed by all type 1 fold defense/resistance nsLTPs, including those which do not belong
to the defense cluster (28 proteins). This table lists the 30% top-ranked (= most conserved)
residues identified in the defense cluster trace and shows, by comparison, the ranking of
these same residues in the other two traces, together with their coverage, variability, and
rvET score. Residue positions in the reference proteins and in the structure-based sequence
alignment are also indicated. Alignment position is the same in all three groups because all
three alignments used to perform the traces are extracted from the general multiple
alignments of all 797 nsLTPs of the study. Five residues are highlighted for they are
differently conserved in the three clusters of proteins (see text). PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed A
Defense cluster (ref. prot. = 525)
Rank Residue
Number
Alignment
Position
Residue Coverage
Variability
rvET
score
1
4
93
C
0.10000
C
1.00
1
14
159
C
0.10000
C
1.00
1
29
228
C
0.10000
C
1.00
1
30
229
C
0.10000
C
1.00
1
45
259
D
0.10000
D
1.00
1
50
275
C
0.10000
C
1.00
1
52
277
C
0.10000
C
1.00
1
72
372
C
0.10000
C
1.00
1
86
432
C
0.10000
C
1.00
10
7
137
V
0.13333
AV
1.11
11
32
231
G
0.13333
SG
1.11
12
80
402
I
0.13333
VI
1.11
13
69
367
P
0.14444
PA
1.17
14
36
236
L
0.15556
LV
1.28
15
17
165
Y
0.16667
FY
1.59
16
74
374
V
0.17778
LVIA
1.75
17
11
154
L
0.18889
LV
1.83
18
54
289
K
0.20000
VKQ
1.93
19
65
360
A
0.21111
TALV
2.01
20
40
247
A
0.22222
TAV
2.13
21
1
63
A
0.23333
.AD
2.15
22
33
232
V
0.24444
AVI
2.29
23
68
364
I
0.25556
LI
2.50
24
43
256
T
0.26667
TPMAS
2.61
25
61
344
N
0.27778
KNSV
2.65
26
47
268
Q
0.28889
RQK
2.71
27
46
266
K
0.30000
RK
2.75
B
Fold 1 nsLTPs (ref. prot. Manuscript to be reviewed = 525)
Rank Residue
Number
Alignment
Position
Residue Coverage
Variability
rvET
score
1
4
93
C
0.11111
C
1.00
1
14
159
C
0.11111
C
1.00
1
29
228
C
0.11111
C
1.00
1
30
229
C
0.11111
C
1.00
1
50
275
C
0.11111
C
1.00
1
52
277
C
0.11111
C
1.00
1
72
372
C
0.11111
C
1.00
1
86
432
C
0.11111
C
1.00
1
7
137
V
0.11111
V
1.00
1
69
367
P
0.11111
P
1.00
11
45
259
D
0.13333
DL
1.15
12
80
402
I
0.13333
IW
1.15
13
74
374
V
0.15556
VIN
1.39
16
17
165
Y
0.18889
YF
1.67
17
36
236
L
0.18889
LI
1.67
18
32
231
G
0.20000
GAV
1.76
20
54
289
K
0.22222
KVQ
1.93
22
65
360
A
0.24444
AVF
2.04
23
40
247
A
0.25556
ATVS
2.05
25
33
232
V
0.27778
VALI
2.59
27
61
344
N
0.30000
NVDR
2.88
30
46
266
K
0.33333
KR
3.25
31
11
154
L
0.34444
LIVM
3.26
36
43
256
T
0.40000
TPQRS
3.72
38
68
364
I
0.42222
ILV
3.95
44
47
268
Q
0.48889
QRK
4.61
45
1
63
A
0.50000
A.QV
4.63 13
36
236
L
0.13978
LVIM
13.58
14
77
374
V
0.15054
VLTAINP
13.66
15
17
165
Y
0.16129
YFAH
13.82
16
40
247
A
0.17204
ATSVIRPL
14.49
17
68
360
A
0.18280
ATVLFIM
14.52
18
71
364
I
0.19355
LIVTAPFM
14.53
19
54
289
K
0.20430
KVQIERLMHTS
15.40
20
45
259
D
0.21505
DAENITLRG.K
15.74
21
83
402
I
0.22581
IVFPLTAKW
15.92
29
33
232
V
0.31183
VAILSM
21.38
32
47
268
R
0.34409
KQRVEMIYSH
24.45
34
11
154
I
0.36559
VLMIFATP
25.38
42
64
344
N
0.45161
NGKQDASTLERVFYI
54.16
56
43
256
T
0.60215
TAPGRSQKDHVMI.LFY 38.13
61
1
63
A
0.65591
.AHETDVPSGFQL
39.96 C
Defense nsLTPs outside cluster (ref. prot. Compared analysis of Evolutionary Trace of three groups of nsLTPs. = 437)
Rank Residue
Number
Alignment
Position
Residue Coverage
Variability
rvET
score
1
14
159
C
0.05376
C
1.00
1
29
228
C
0.05376
C
1.00
1
30
229
C
0.05376
C
1.00
1
50
275
C
0.05376
C
1.00
1
52
277
C
0.05376
C
1.00
6
75
372
C
0.06452
CR
1.75
7
4
93
C
0.07527
CA
3.00
8
89
432
C
0.08602
CDN
4.36
9
72
367
P
0.09677
PASLQG
7.27
10
46
266
R
0.10753
RKTAPIQD
11.55
11
7
137
V
0.11828
VALISGT
11.81
12
32
231
G
0.12903
GSAEQVHR
13.26 A A Defense cluster (ref. prot. = 525) B PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019) Manuscript to be reviewed Manuscript to be reviewed 13
36
236
L
0.13978
LVIM
13.58
14
77
374
V
0.15054
VLTAINP
13.66
15
17
165
Y
0.16129
YFAH
13.82
16
40
247
A
0.17204
ATSVIRPL
14.49
17
68
360
A
0.18280
ATVLFIM
14.52
18
71
364
I
0.19355
LIVTAPFM
14.53
19
54
289
K
0.20430
KVQIERLMHTS
15.40
20
45
259
D
0.21505
DAENITLRG.K
15.74
21
83
402
I
0.22581
IVFPLTAKW
15.92
29
33
232
V
0.31183
VAILSM
21.38
32
47
268
R
0.34409
KQRVEMIYSH
24.45
34
11
154
I
0.36559
VLMIFATP
25.38
42
64
344
N
0.45161
NGKQDASTLERVFYI
54.16
56
43
256
T
0.60215
TAPGRSQKDHVMI.LFY 38.13
61
1
63
A
0.65591
.AHETDVPSGFQL
39.96
C
Defense nsLTPs outside cluster (ref. prot. Manuscript to be reviewed = 525)
Rank Residue
Number
Alignment
Position
Residue Coverage
Variability
rvET
score
1
4
93
C
0.11111
C
1.00
1
14
159
C
0.11111
C
1.00
1
29
228
C
0.11111
C
1.00
1
30
229
C
0.11111
C
1.00
1
50
275
C
0.11111
C
1.00
1
52
277
C
0.11111
C
1.00
1
72
372
C
0.11111
C
1.00
1
86
432
C
0.11111
C
1.00
1
7
137
V
0.11111
V
1.00
1
69
367
P
0.11111
P
1.00
11
45
259
D
0.13333
DL
1.15
12
80
402
I
0.13333
IW
1.15
13
74
374
V
0.15556
VIN
1.39
16
17
165
Y
0.18889
YF
1.67
17
36
236
L
0.18889
LI
1.67
18
32
231
G
0.20000
GAV
1.76
20
54
289
K
0.22222
KVQ
1.93
22
65
360
A
0.24444
AVF
2.04
23
40
247
A
0.25556
ATVS
2.05
25
33
232
V
0.27778
VALI
2.59
27
61
344
N
0.30000
NVDR
2.88
30
46
266
K
0.33333
KR
3.25
31
11
154
L
0.34444
LIVM
3.26
36
43
256
T
0.40000
TPQRS
3.72
38
68
364
I
0.42222
ILV
3.95
44
47
268
Q
0.48889
QRK
4.61
45
1
63
A
0.50000
A.QV
4.63 C 1 PeerJ reviewing PDF | (2019:04:36959:2:1:ACCEPTED 8 Jul 2019)
|
https://openalex.org/W3170050807
|
https://www.nature.com/articles/s42003-021-02267-y.pdf
|
English
| null |
Kinetic mechanism of Na+-coupled aspartate transport catalyzed by GltTk
|
Communications biology
| 2,021
|
cc-by
| 12,876
|
1 Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands. 2 Institute of Medical Microbiology,
University of Zurich, Zurich, Switzerland. 3 Moscow Institute of Physics and Technology, Dolgoprudny, Russia. 4Present address: ZoBio BV, Leiden, The
Netherlands. 5Present address: Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland. ✉email: d.j.slotboom@rug.nl COMMUNICATIONS BIOLOGY | (2021) 4:751 | https://doi.org/10.1038/s42003-021-02267-y | www.nature.com/commsbio Kinetic mechanism of Na+-coupled aspartate
transport catalyzed by GltTk Gianluca Trinco1, Valentina Arkhipova1,4, Alisa A. Garaeva1,5, Cedric A. J. Hutter
2, Markus A. Seeger
2,
Albert Guskov
1,3 & Dirk J. Slotboom
1✉ It is well-established that the secondary active transporters GltTk and GltPh catalyze coupled
uptake of aspartate and three sodium ions, but insight in the kinetic mechanism of transport
is fragmentary. Here, we systematically measured aspartate uptake rates in proteoliposomes
containing purified GltTk, and derived the rate equation for a mechanism in which two sodium
ions bind before and another after aspartate. Re-analysis of existing data on GltPh using this
equation allowed for determination of the turnover number (0.14 s−1), without the need for
error-prone protein quantification. To overcome the complication that purified transporters
may adopt right-side-out or inside-out membrane orientations upon reconstitution, thereby
confounding the kinetic analysis, we employed a rapid method using synthetic nanobodies to
inactivate one population. Oppositely oriented GltTk proteins showed the same transport
kinetics, consistent with the use of an identical gating element on both sides of the mem-
brane. Our work underlines the value of bona fide transport experiments to reveal
mechanistic features of Na+-aspartate symport that cannot be observed in detergent solu-
tion. Combined with previous pre-equilibrium binding studies, a full kinetic mechanism of
structurally characterized aspartate transporters of the SLC1A family is now emerging. 1 Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands. 2 Institute of Medical Microbiology,
University of Zurich, Zurich, Switzerland. 3 Moscow Institute of Physics and Technology, Dolgoprudny, Russia. 4Present address: ZoBio BV, Leiden, The
Netherlands. 5Present address: Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland. ✉email: d.j.slotboom@rug.nl 1 ARTICLE COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y E
xcitatory amino acid transporters (EAATs) of the solute carrier
family 1A (SLC1A) take up the neurotransmitter L-glutamate
from the synaptic environment, which is necessary to keep the
extracellular concentration low and prevent neurotoxicity1,2. EAATs
couple uptake of one amino acid substrate molecule to the co-
transport of three sodium ions and one proton and counter-transport
of one potassium ion3–6. Thus, glutamate gradients of a million-fold
across the membrane under resting conditions can be sustained. The
closely related archaeal transporters GltPh from Pyrococcus horikoshii
and GltTk from Thermococcus kodakarensis of the SLC1A family
(78% sequence identity to each other, ~36% sequence identity to
EAATs) take up aspartate rather than glutamate in symport with
three sodium ions and are not coupled to potassium or proton
transport7–11. Results
T
d To study the kinetic mechanism of Na+-coupled aspartate transport
by GltTk, we used a classical enzymology method, in which we
measured the initial uptake rates of radiolabelled L-aspartate into
proteoliposomes reconstituted with purified GltTk, as a function of
the external concentrations of L-aspartate and Na+. To ensure
initial rate conditions, aspartate and Na+ were absent from the
lumen of the liposomes at the onset of the experiment, and the rate
was determined from the linear part of the uptake experiment
(Supplementary Fig. 1). In the first set of experiments (presented in
Figs. 1–3 and Tables 1–3), we measured the combined transport
activity of proteins with right-side-out and inside-out membrane
orientation in the liposomes, as we did not inactivate either of the
two populations. These experiments can be compared with binding
experiments performed in detergent-solution where the sidedness is
absent. In follow-up experiments (presented in Fig. 4 and Table 4),
we silenced one of the two populations, which allows for compar-
ison with experiments in which the transporters had been fixed in a
single orientation by crosslinking35,36. Transport assays in proteoliposomes have revealed that both
GltPh and GltTk catalyze electrogenic transport with a strict stoi-
chiometry of three co-transported Na+ ions per aspartate14,32. Data from studies on equilibrium binding and pre-equilibrium
kinetics of binding with the solubilized proteins in detergent
solution have shown that co-transported ions and aspartate bind
in a highly cooperative way, which is crucial to ensure thermo-
dynamic coupling10,15,33–37. These experiments have indicated
that most likely two sodium ions bind first, then aspartate, and
finally the third sodium ion. The binding of the last Na+ leads to
gate closure of HP2, which in turn is a prerequisite for elevator-
like conformational changes that translocate the bound cargo
across the membrane. Structures of GltPh and GltTk have provided
a qualitative explanation for the observed binding order. Two of
the sodium binding sites (named Na1 and Na3) are buried deep in
the proteins15. A substantial conformation rearrangement in the
apo-protein (most pronounced in the conserved unwound region
of TM7) is required to create the geometry needed for sodium
binding, which makes this step slow. The conformational rear-
rangement, which is stabilized by the binding of the two sodium
ions, also affects residues involved in aspartate binding. While the
apo-state does not have a measurable affinity for aspartate, sodium
binding creates a high-affinity site for the amino acid substrate. Kinetic mechanism of Na+-coupled aspartate
transport catalyzed by GltTk These prokaryotic homologs of the neurotransmitter
transporters have been instrumental in delineating shared structural
features of this transporter family7–9,12–22. E for the mechanistic characterization of enzymes, leading to insight
into the order of binding of substrates38. This method has not been
used much on purified membrane transporters, in part because it is
often impossible to control the orientation of the reconstituted
transporters in proteoliposomes, leading to mixed populations, thus
complicating kinetic analysis. To overcome this latter problem, we isolated an inhibitory
synthetic nanobody39, which we used to inactivate membrane
transporters oriented in one of the two possible orientations. This
method is rapid, generally applicable, and does not depend on
mutagenesis and chemical modifications. The work presented
here, combined with the results of previous pre-equilibrium
binding studies36, allows for the determination of accurate
turnover numbers, which we illustrate by analyzing available data
for aspartate transport by GltPh. SLC1A family proteins are homotrimers, with independently
operating protomers19,21,23–29, each organized in two domains. A
rigid scaffold domain mediates all the contacts with the neigh-
boring protomers, and a peripheral transport domain binds the
amino
acid
substrate
and
cations13,16,30,31. The
transport
domains are mobile and move through the lipid bilayer (alike an
elevator) when translocating the amino acid substrate and co-
transported ions across the membrane13. During movement of
the transport domain, the substrate-binding site is occluded from
the solvent and shielded by the tips of two pseudo-symmetrical
helical hairpins (HP1 and HP2). The latter hairpin is a gating
element that can hinge between a closed position (taken during
elevator movements) and an open position (allowing loading or
release of the substrate and co-transported ions). The extent of
the elevator-like movement of the transport domain is so large
(~20 Å in GltTk) that HP2 acts as a gating element both on the
extracellular and the intracellular side of the membrane. COMMUNICATIONS BIOLOGY | (2021) 4:751 | https://doi.org/10.1038/s42003-021-02267-y | www.nature.com/commsbio Results
T
d The last sodium ion binds to a site in direct contact with the HP2
gate (Na2), and locks the gate in the closed position, with aspartate
and the three sodium ions occluded from the environment. g
y
g
We managed to determine accurate transport rates using external
Na+ concentrations in the range between 5 and 300 mM and
aspartate concentrations between 50 nM and 100 µM (Table 1). The
upper and lower boundaries of the concentration ranges were set by
practical considerations. Aspartate concentrations higher than 100
µM required large dilution of the radiolabelled amino acid with
unlabeled aspartate, which caused poor signal-to-noise levels in the
uptake experiments. Na+ concentrations higher than 300 mM could
not be used, because the preparation of proteoliposomes in buffer
containing high salt concentrations prevented the formation of a firm
pellet when centrifuged, therefore making it impossible to reach the
necessary protein concentration for the experiments. In the low
concentration regime, conditions in which 1 mM Na+ was used in
combination with aspartate concentrations lower than 1 µM resulted
in poor signal-to-noise ratios. Despite these limitations, the range of
concentrations was sufficient to provide insight into the kinetic
mechanism. The results of the uptake experiments in liposomes with mixed
protein orientations are summarized in Table 1, where each row
contains the initial rates of transport (v0) at a fixed sodium
concentration, but with increasing aspartate concentrations. When analyzing v0 as a function of the aspartate concentration
row-by-row, we found that rectangular hyperbolic functions fitted
the data well (Fig. 1a), which allowed for the determination of the
apparent maximal rates of transport (vAsp
max (app)) and apparent
Michaelis-Menten constants (KAsp
M
(app)) (Table 2). The super-
script “Asp” indicates that the aspartate was varied, while the
sodium concentration was kept constant (hence “apparent”). Despite the enormous amount of data on structure and binding
mechanism in detergent solution, insight into the kinetic mechan-
ism under translocating conditions is fragmented and incomplete. Here, we set out to determine the kinetic mechanism of aspartate
transport by using purified GltTk, reconstituted in proteoliposomes. Results
T
d We measured initial rates of transport at a wide range of substrate
and co-ion concentrations, a method that has been used extensively Each column in Table 1 contains the measured initial rates of
aspartate
transport
at
increasing
Na+
concentrations
while 2 COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y ARTICLE 0
50
100
0
20
40
60
[Asp] (µM)
v0 (mol Asp (mol GltTk)-1 min-1)
300 mM Na+
200 mM Na+
100 mM Na+
50 mM Na+
25 mM Na+
10 mM Na+
5 mM Na+
0
100
200
300
0
20
40
60
[Na+] (mM)
v0 (mol Asp (mol GltTk)-1 min-1)
0.05 µM Asp
0.1 µM Asp
0.5 µM Asp
1 µM Asp
5 µM Asp
10 µM Asp
50 µM Asp
100 µM Asp
a
b
Fig. 1 L-Asp transport rates catalyzed by purified and reconstituted GltTk
as a function of the concentrations of Na+ and L-aspartate. The rates
represent the combined contributions of right-side-out and inside-out
oriented proteins. a Aspartate-dependent measurements at different fixed
Na+ concentrations. The lines represent fits of the Michaelis-Menten
equation to the data for uptake at Na+ concentrations of 5 mM (red),
10 mM (orange), 25 mM (yellow), 50 mM (green), 100 mM (cyan),
200 mM (blue), 300 mM (purple). b Sodium-dependence of transport at
fixed L-Asp concentrations. The lines represent fits of the Hill equation to
the data for uptake at 0.05 µM (red), 0.1 µM (orange), 0.5 µM (yellow),
1 µM (green), 5 µM (cyan), 10 µM (light blue), 50 µM (blue), 100 µM
(purple). Each uptake rate represents the average of three independent
biological replicates, each constituted by two technical replicates, and the
standard error of the mean is shown. maintaining a fixed aspartate concentration. Analysis of these rates
as a function of the Na+ concentration revealed sigmoidal depen-
dencies (Fig. 1b). The Hill equation was used to fit the data, yielding
values for vNa
max (app) and KNa
M (app) and the apparent Hill coeffi-
cient nHill (app) (Table 3). In this case, the superscript “Na” indi-
cates sodium-dependent measurements, and “apparent” indicates
that
the
measurements
were
done
at
a
fixed
L-aspartate
concentration. Results
T
d 0
50
100
0
20
40
60
[Asp] (µM)
v0 (mol Asp (mol GltTk)-1 min-1)
300 mM Na+
200 mM Na+
100 mM Na+
50 mM Na+
25 mM Na+
10 mM Na+
5 mM Na+
a For interpretation of the uptake data in the framework of a
kinetic model of transport, the apparent affinities for L-aspartate
(KAsp
M (app)) and the apparent maximal rates (vAsp
max (app) and vNa
max
(app)) are the most informative parameters. KNa
M (app) and nHill
(app) contain less useful information for discrimination between
different mechanisms (as discussed in references 38,40), and
therefore these values were not used further here. 0
100
200
300
0
20
40
60
[Na+] (mM)
v0 (mol Asp (mol GltTk)-1 min-1)
0.05 µM Asp
0.1 µM Asp
0.5 µM Asp
1 µM Asp
5 µM Asp
10 µM Asp
50 µM Asp
100 µM Asp
b KM analysis reveals a complex mechanism. Information on the
kinetic mechanism is contained both in the dependence of the
apparent affinity for aspartate KAsp
M
(app) on the Na+ concentration
and in potential differences between KAsp
M (app) and the equilibrium
constant for L-aspartate binding (KAsp
D
(app)). Table 2 shows that
KAsp
M
(app) was strongly dependent on the Na+ concentration at
concentrations below 50 mM Na+. At Na+ concentrations above
100 mM, KAsp
M
(app) became independent of the Na+ concentration
and leveled off to 0.7 μM (Table 2), a value that is important for
mechanistic interpretation (discussed in detail below). A [Na+] (mM) Fig. 1 L-Asp transport rates catalyzed by purified and reconstituted GltTk
as a function of the concentrations of Na+ and L-aspartate. The rates Fig. 1 L-Asp transport rates catalyzed by purified and reconstituted GltTk
as a function of the concentrations of Na+ and L aspartate The rates Fig. 1 L-Asp transport rates catalyzed by purified and reconstituted GltTk
as a function of the concentrations of Na+ and L-aspartate. The rates
represent the combined contributions of right-side-out and inside-out
oriented proteins. a Aspartate-dependent measurements at different fixed
Na+ concentrations. The lines represent fits of the Michaelis-Menten
equation to the data for uptake at Na+ concentrations of 5 mM (red),
10 mM (orange), 25 mM (yellow), 50 mM (green), 100 mM (cyan),
200 mM (blue), 300 mM (purple). b Sodium-dependence of transport at
fixed L-Asp concentrations. Results
T
d The lines represent fits of the Michaelis-Menten
equation to the data for uptake at Na+ concentrations of 5 mM (red),
10 mM (orange), 25 mM (yellow), 50 mM (green), 100 mM (cyan),
200 mM (blue), 300 mM (purple). b Sodium-dependence of transport at
fixed L-Asp concentrations. The lines represent fits of the Hill equation to
the data for uptake at 0.05 µM (red), 0.1 µM (orange), 0.5 µM (yellow),
1 µM (green), 5 µM (cyan), 10 µM (light blue), 50 µM (blue), 100 µM
(purple). Each uptake rate represents the average of three independent
biological replicates, each constituted by two technical replicates, and the
standard error of the mean is shown. 0.01
0.1
1
10-7
10-6
10-5
10-4
[Na+] (M)
KM or KD (M)
KD
KM
Fig. 2 Dependence of the apparent affinities for L-Asp (KASP
M
(app)) on
the sodium ion concentration (black symbols). Dashed lines represent
linear fits to data points in the low and high sodium ion concentration
regimes. Each value represents the average of three independent biological
replicates, and two technical replicates. The standard error of the mean is
shown. For comparison, the dissociation constants KAsp
D (app) determined
previously are also plotted (orange)15. The data represent the combined
contributions of right-side-out and inside-out oriented proteins. 0.01
0.1
1
10-7
10-6
10-5
10-4
[Na+] (M)
KM or KD (M)
KD
KM Mechanistic interpretation of transport data using the steady-
state approximation. Because the rapid equilibrium approx-
imation was found invalid, we turned to analysis based on the
steady-state assumption. While the Michaelis–Menten or Hill
equations can always describe the substrate dependencies of the
uptake rates when the rapid equilibrium approximation is valid, it
is possible to find more complex relations in the steady-state
analysis, depending on the details of the kinetic mechanism38. For
instance, for some kinetic mechanisms, vmax values may be (local) Fig. 2 Dependence of the apparent affinities for L-Asp (KASP
M
(app)) on Fig. 2 Dependence of the apparent affinities for L-Asp (KASP
M
(app)) on
the sodium ion concentration (black symbols). Dashed lines represent
linear fits to data points in the low and high sodium ion concentration
regimes. Each value represents the average of three independent biological
replicates, and two technical replicates. The standard error of the mean is
shown. For comparison, the dissociation constants KAsp
D (app) determined
previously are also plotted (orange)15. Results
T
d The lines represent fits of the Hill equation to
the data for uptake at 0.05 µM (red), 0.1 µM (orange), 0.5 µM (yellow),
1 µM (green), 5 µM (cyan), 10 µM (light blue), 50 µM (blue), 100 µM
(purple). Each uptake rate represents the average of three independent
biological replicates, each constituted by two technical replicates, and the
standard error of the mean is shown. p
Comparison of the KAsp
M
(app) values with the equilibrium
constants
for
L-aspartate
binding
(KAsp
D
(app)),
determined
previously by isothermal titration calorimetry (ITC) in detergent
solution15, revealed almost identical values at a Na+ concentration
of 100 mM, but large differences at higher and lower concentrations
of Na+ (Fig. 2). While KAsp
M (app) was an order of magnitude higher
than the equilibrium constant for binding at a sodium concentra-
tion of 300 mM (7.0 × 102 nM versus 75 nM), at concentrations
below ~75 mM, KAsp
M (app) was up to an order of magnitude lower
than the KAsp
D
(app). Such discrepancies are indicative of a complex
kinetic mechanism that cannot be interpreted in the conceptual
framework of the rapid equilibrium approximation, which is based
on the assumption that the transport step (described by turnover
number kcat) is much slower than the establishment of the binding
equilibrium of sodium ions and aspartate, described by the
equilibrium constants KD. The rapid equilibrium assumption was
previously also dismissed for aspartate transport by GltPh, based on
a more limited comparison of KM and KD10, and on pre-
equilibrium binding experiments in detergent solution36, but the
data presented here, based on the comparison of transport and
binding experiments over a broad range of sodium concentrations,
revealed a variable ratio between KAsp
M
(app) and KAsp
D
(app)
depending on the Na+ concentration, which is indicative of kinetic
complexity. It is noteworthy that the rapid equilibrium assumption
might hold at very low Na+ concentration36, but as discussed
above, the sensitivity of the radiolabel-based transport assays is not
high enough to measure aspartate uptake in such conditions. as a function of the concentrations of Na+ and L-aspartate. The rates
represent the combined contributions of right-side-out and inside-out
oriented proteins. a Aspartate-dependent measurements at different fixed
Na+ concentrations. Results
T
d Each uptake rate represents the average of three independent biological replicates and independent reconstitutions,
each with two technical replicates. The standard error of the mean is indicated. Table 1 Initial rates of L-aspartate uptake by GltTk reconstituted in proteoliposomes. In the first column, the concentrations in
parentheses indicate the amount of choline chloride used in the external reaction buffer to balance the osmotic and ionic
strength. Each uptake rate represents the average of three independent biological replicates and independent reconstitutions,
each with two technical replicates. The standard error of the mean is indicated. Results
T
d [L-Asp]→[Na+↓]
0.05 µM
0.1 µM
0.5 µM
1 µM
5 µM
10 µM
50 µM
100 µM
1 mM
(299 mM)
Not determined
Not determined
Not determined
0.03
± 2.6 10−2 min−1
0.51
± 0.3 min−1
0.25
± 0.3 min−1
2.85
± 1.2 min−1
10.93
± 4.4 min−1
5 mM
(295 mM)
0.05
± 1.6 10−2 min−1
0.06
± 2.1 10−2 min−1
0.59
± 0.1 min−1
0.96
± 0.2 min−1
3.62
± 0.7 min−1
6.48
± 0.9 min−1
16.59
± 2.8 min−1
21.62
± 3.2 min−1
10 mM
(290 mM)
0.21
± 5.5 10−2 min−1
0.28
± 0.1 min−1
2.16
± 0.4 min−1
3.75
± 0.6 min−1
8.19
± 1.2 min−1
12.60
± 1.9 min−1
25.08
± 5.0 min−1
30.51
± 4.1 min−1
25 mM
(275 mM)
0.95
± 0.2 min−1
1.46
± 0.5 min−1
8.53
± 1.2 min−1
11.56
± 1.7 min−1
19.09
± 2.0 min−1
26.39
± 3.0 min−1
40.58
± 6.4 min−1
43.59
± 6.9 min−1
50 mM
(250 mM)
1.88
± 0.4 min−1
3.34
± 1.0 min−1
16.79
± 2.6 min−1
21.26
± 2.3 min−1
31.28
± 3.5 min−1
39.30
± 4.9 min−1
43.69
± 8.3 min−1
50.21
± 4.4 min−1
100 mM
(200 mM)
2.75
± 0.5 min−1
4.79
± 1.5 min−1
23.46
± 2.5 min−1
30.47
± 3.3 min−1
38.90
± 3.5 min−1
52.16
± 7.7 min−1
53.52
± 7.9 min−1
68.13
± 3.5 min−1
200 mM
(100 mM)
3.06
± 0.6 min−1
4.83
± 1.5 min−1
31.27
± 6.4 min−1
32.55
± 3.8 min−1
37.29
± 4.0 min−1
49.80
± 9.0 min−1
51.90
± 6.7 min−1
65.40
± 7.5 min−1
300 mM
(0 mM)
2.93
± 0.7 min−1
4.96
± 1.6 min−1
27.72
± 5.3 min−1
28.95
± 4.0 min−1
40.12
± 5.4 min−1
46.98
± 7.9 min−1
52.69
± 8.5 min−1
61.77
± 2.9 min−1 initial rates are described well by rectangular hyperbola and sig-
moidal curves (Figs. 1 and 2), suggesting that such random steps
do not play a significant role, at least not in the concentration
regime that we used. This notion is consistent with the kinetic
binding model derived for detergent-solubilized GltPh, where the
binding of sodium ions and aspartate to GltPh was found to be
ordered in the concentration range between 5 and 300 mM Na+,
with two sodium ions binding before and one after aspartate36. Results
T
d The data represent the combined
contributions of right-side-out and inside-out oriented proteins. MMUNICATIONS BIOLOGY | (2021) 4:751 | https://doi.org/10.1038/s42003-021-02267-y | www.nature.com/commsbio 3 COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y ARTICLE 0
100
200
300
0
20
40
60
[Na+] (mM)
Vmax
Asp (app)
(mol Asp (mol GltTk)-1 min-1)
0
50
100
0
20
40
60
80
[Asp] (µM)
Vmax
Na (app)
(mol Asp (mol GltTk)-1 min-1)
kcat/k3 = 0.70 +/- 0.3 µM
a
b
Fig. 3 Dependence of the maximal rates L-Asp transport rate on the concentrations of Na+ and L-aspartate. a Dependence of the maximal rates of
transport vNa
max (app) from Fig. 1a on the concentration of L-Asp. b Dependence of the maximal rates of transport vAsp
max (app) from Fig. 1b on the
concentration of sodium ions. Solid and dashed lines represent fits of rectangular hyperbolic functions to the data and the 95% confidence intervals,
respectively. In panel A the fitted value of kcat/k3 (Eq. (13)) is indicated. Each value represents the average of three independent biological replicates, and
two technical replicates. The standard error of the mean is shown. The data represent the combined contributions of right-side-out and inside-out oriented
proteins. 0
50
100
0
20
40
60
80
[Asp] (µM)
Vmax
Na (app)
(mol Asp (mol GltTk)-1 min-1)
kcat/k3 = 0.70 +/- 0.3 µM
a 0
100
200
300
0
20
40
60
[Na+] (mM)
Vmax
Asp (app)
(mol Asp (mol GltTk)-1 min-1)
b Fig. 3 Dependence of the maximal rates L-Asp transport rate on the concentrations of Na+ and L-aspartate. a Dependence of the maximal rates of
transport vNa
max (app) from Fig. 1a on the concentration of L-Asp. b Dependence of the maximal rates of transport vAsp
max (app) from Fig. 1b on the
concentration of sodium ions. Solid and dashed lines represent fits of rectangular hyperbolic functions to the data and the 95% confidence intervals,
respectively. In panel A the fitted value of kcat/k3 (Eq. (13)) is indicated. Each value represents the average of three independent biological replicates, and
two technical replicates. The standard error of the mean is shown. The data represent the combined contributions of right-side-out and inside-out oriented
proteins. Table 1 Initial rates of L-aspartate uptake by GltTk reconstituted in proteoliposomes. In the first column, the concentrations in
parentheses indicate the amount of choline chloride used in the external reaction buffer to balance the osmotic and ionic
strength. Results
T
d This ordered binding mechanism is also consistent with a recent
study that revealed a conformational selection step leading to the
binding of the first sodium ion34. Therefore, we chose to analyze
the transport data presented here with the following kinetic
model: Table 2 vAsp
max (app) and KAsp
M
(app) values for aspartate
dependent uptakes obtained at constant [Na+]. [Na+]
vASP
max (app) (min−1)
KASP
M
(app) (µM)
5 mM
29.2 ± 0.58
36 ± 1.9
10 mM
34.8 ± 1.5
16.8 ± 2.4
25 mM
44.7 ± 2.9
5.5 ± 1.5
50 mM
45.5 ± 2.3
1.2 ± 0.3
100 mM
52.1 ± 2.6
0.70 ± 0.16
200 mM
54.2 ± 4.1
0.58 ± 0.23
300 mM
53.7 ± 3.1
0.70 ± 0.22
Values are derived from the data presented in Table 1 and Fig. 1a. Each uptake rate represents
the average of three independent biological replicates, each with two technical replicates. The
standard error of the mean is indicated. Table 2 vAsp
max (app) and KAsp
M
(app) values for aspartate
dependent uptakes obtained at constant [Na+]. E
$
k1 Naþ
½
k1
ENa
f
g
$
k2 Naþ
½
k2
ENaNa
f
g
$
k3 Asp
½
k3
ENaNaAsp
$
k4 Naþ
½
k4
ENaNaAspNa
! kcat
ð1Þ
i
hi h E d i
Gl E
$
k1 Naþ
½
k1
ENa
f
g
$
k2 Naþ
½
k2
ENaNa
f
g
$
k3 Asp
½
k3
ENaNaAsp
$
k4 Naþ
½
k4
ENaNaAspNa
! kcat ð1Þ in which E designates GltTk. maxima, instead of being reached asymptotically, and KM values
may be undefined. Such complex relations often arise when steps
occur in the mechanism where two different substrates (corre-
sponding to aspartate and Na+ in the case of GltTk) bind
randomly38. In our data, the concentration dependences of the in which E designates GltTk. While we base our further analysis on the mechanism shown in
Eq. (1), we will show in the discussion section that the main
conclusions hold for any mechanism in which at least one sodium
ion binds after aspartate. Results
T
d Values are derived from the data presented in Table 1 and Fig. 1b. Each uptake rate represents
the average of three independent biological replicates, each with two technical replicates. The
standard error of the mean is indicated. p
Equation (2) can also be rearranged to derive an expression for
KAsp
M
(app): Table 4 vAsp
maxp (app) and KAsp
M
(app) values for aspartate
dependent uptakes obtained at constant [Na+] in the
presence of 750 nM sybody on the outside of the liposomes. [Na+]
vAsp
max (app) (min−1)
KAsp
M
(app) (µM)
10 mM
9.8
± 1.0
4.9
± 1.4
100 mM
18.3
± 2.0
0.97
± 0.36
200 mM
17.0
± 1.0
0.65
± 0.13
300 mM
17.2
± 1.5
0.63
± 0.17
Each uptake rate represents the average of two independent biological replicates, each with two
technical replicates. The standard error of the mean is indicated. Table 4 vAsp
maxp (app) and KAsp
M
(app) values for aspartate
dependent uptakes obtained at constant [Na+] in the
presence of 750 nM sybody on the outside of the liposomes. KAsp
M
app
¼ a4½Na3 þ a5½Na2 þ a6 Na
½
þ a7
a1½Na3 þ a2½Na2 þ a3 Na
½
ð12Þ ð12Þ From Eq. (12) the values for KAsp
M
(app) that are reached in the
low and high [Na+] regimes can be found: lim
Na
½
! KAsp
M
app
¼ a4
a1
¼ kcat
k3
ð13Þ
lim
Na
½
!0 KAsp
M
app
¼
a7
a3 Na
½
ð14Þ lim
Na
½
! KAsp
M
app
¼ a4
a1
¼ kcat
k3
ð13Þ ð13Þ lim
Na
½
!0 KAsp
M
app
¼
a7
a3 Na
½
ð14Þ ð14Þ Equation (13) predicts that in the high concentration limit a
constant value for KAsp
M
(app) is reached, which equals the ratio
between two rate constants kcat/k3. The data presented in Fig. 2
and Table 2 show that the value of KAsp
M
(app) levels off to ~0.7
μΜ at high Na+ concentration. Since the turnover number kcat is
~0.9 s−1 (Fig. 3 and Table 2), a value of ~1.3 × 106 M−1 s−1 for k3
is found. COMMUNICATIONS BIOLOGY | (2021) 4:751 | https://doi.org/10.1038/s42003-021-02267-y | www.nature.com/commsbio Results
T
d COMMUNICATIONS BIOLOGY | (2021) 4:751 | https://doi.org/10.1038/s42003-021-02267-y | www.nature.com/commsbio 4
COMMUNICATIONS BIOLOGY | (2021) 4:751 | https://doi.org/10.1038/s42003-021-02267-y | www.n 4 ARTICLE COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y Table 3 vNa
max (app), KNa
M (app) and nHill (app) values for Na+
dependent uptakes obtained at constant [Asp]. [L-Asp]
vNa
max (app)
(min−1)
KNa
M (app) (mM)
nHill (app)
0.05 µM
3.7
± 0.1
36.7
± 1.8
2.1
0.19
0.1 µM
8.6
± 0.1
37.0
± 0.81
2.0
± 0.08
0.5 µM
28.5
± 0.15
40.9
± 0.42
1.70
± 0.025
1 µM
34.9
± 1.0
37.3
± 2.0
1.7
± 0.13
5 µM
40.6
± 1.3
24.7
± 2.1
1.6
± 0.19
10 µM
51.4
± 2.7
21.8
± 3.2
1.5
± 0.29
50 µM
54.6
± 1.9
10.9
± 1.2
1.1
± 0.14
100 µM
72.34
± 10.5
14.8
± 7.9
0.72
± 0.21
Values are derived from the data presented in Table 1 and Fig. 1b. Each uptake rate represents
the average of three independent biological replicates, each with two technical replicates. The
standard error of the mean is indicated. Table 3 vNa
max (app), KNa
M (app) and nHill (app) values for Na+
dependent uptakes obtained at constant [Asp]. a6 ¼ k1k2k3kcat þ k1k2k4kcat þ k1k2k3k4
ð8Þ
a7 ¼ k1k2k3kcat þ k1k2k3k4
ð9Þ ð9Þ Equation (2) can be rearranged to derive expressions for vNa
max
(app) and vAsp
max (app): vAsp
max app
¼ vmax*
a1½Na2
a1½Na2 þ a2 Na
½
þ a3
ð10Þ
vNa
max app
¼ vmax*
Asp
a4
a1 þ Asp
¼ vmax*
Asp
kcat
k3 þ Asp
ð11Þ ð10Þ ð11Þ Thus, the model predicts that both vNa
max (app) and vAsp
max (app)
are dependent on the concentration of the other substrate, which
is fully consistent with the data presented in Fig. 3a, b. Moreover,
Eq. (11) describes a rectangular hyperbolic relation between vNa
max
(app) and [Asp]. By fitting the Michaelis-Menten equation to the
data (Fig. 3a), we found a value for kcat/k3 of 0.7 μΜ. Since the
turnover number kcat is known from the vmax data (~0.9 s−1 (~54
min−1), see Fig. 3, Table 2), a value of ~1.3 × 106 M−1 s−1 for k3
is derived, remarkably similar to the value of 1.2 × 106 M−1 s−1
that was found for GltPh, obtained in pre-equilibrium binding
experiments36. Discussion Reconstitution of purified membrane proteins in liposomes often
leads to mixed-orientation in lipid bilayers. For secondary active
transporters, which can readily operate in both directions, the co-
existence of right-side-out and inside-out oriented proteins is
problematic for kinetic analysis. The work presented here shows
that inactivation of transporter from one side of the membrane
using a synthetic nanobody (sybody) is an effective way to deal
with a mixed-orientation upon reconstitution in liposomes39,42. Synthetic nanobodies are membrane impermeable, and highly
specific for the binding epitope. While also natural nanobodies
could be used for this purpose, sybodies offer a major advantage,
because the selection can be carried out under defined buffer
conditions, which may be used to steer the selection towards
binders of a specific state. Also, the immobilization method used
in the ribosome and phage display steps can be used to increase
the chance of finding binders to the external or internal surface of
the transporters. Finally, the generation of sybodies is quicker
compared to nanobody generation, requires less protein, and does
not require animal handling. To determine to which extent the kinetic mechanism depends
on the orientation of GltTk in liposomes, we set out to inactivate
either the right-side-out or the inside-out oriented transporters. Inhibition of the transporter from only one side of the membrane
by modification of cysteine mutants did not work for GltTk,
possibly
because
of
the
one-gate
nature
of
the
elevator
mechanism, in which the identical binding site residues and
gating elements are alternately exposed to either side of the
membrane13. Therefore, we chose to explore an alternative
method by using synthetic nanobodies (sybodies)39,42. Since
sybodies recognize water-exposed surface epitopes and are
membrane-impermeable, they are expected to be suitable for
orientation-specific inhibition. We selected 42 unique sybodies
against GltTk, using an established platform, which included
ribosome display, two rounds of phage display, and ELISA39. q
g
Here, the inactivation of the population of right-side out
oriented GltTk by sybody binding made it possible to analyze
uptake catalyzed by inside-out oriented proteins. The aspartate
transport rates obtained in the presence of the sybody can be
compared directly with a previous pre-equilibrium binding study
on detergent-solubilized GltPh. Discussion In the latter study, the transporter
was fixed in the inward-oriented state by Hg2+-crosslinking of a
double cysteine mutant, which allowed for the determination of
the kinetic mechanism of binding of sodium ions and aspartate,
and
estimation
of
rate
constants
for
association
and
dissociation36. In our study, where we used a sybody to inactivate
the population of right-side-out oriented GltTk transporters in
proteoliposomes, we measured the kinetics of the reversed
transport step, which includes binding of Na+ and aspartate to
the inward-oriented state similar to the pre-equilibrium binding
study. In the Na+ concentration range between 5 and 300 mM,
the two studies are fully congruent and consistent with a
mechanism in which two sodium ions bind first, followed by
aspartate, and finally the last sodium ion. The kinetic analysis
presented here shows that the rate constant for association of
aspartate (k3 in Eq. (1)), can be obtained using Eq. (13) when
KAsp
M
(App) is determined in the limit of high Na+ concentra-
tions (as shown in Fig. 2) and the turnover number kcat is taken
directly from the maximally attainable rate at high Na+ and
aspartate concentrations (vmax). The value for k3 derived in this
way was 1.3 × 106 M−1 s−1, which closely matches the value of
1.2 × 106 M−1 s−1 for GltPh derived from pre-equilibrium bind-
ing experiments36. p y
p
g
p y
One of these sybodies (sybody 1) completely blocked aspartate
transport by GltTk when added from both sides of the membrane
(in the lumen and in the external solution), but inhibited partially
when added only on the outside of the proteoliposomes (Fig. 4a). It is important to note that the procedure to load sybodies in the
liposome lumen includes an extrusion step in which all GltTk
molecules in the sample are exposed to the sybody. Therefore, it is
not possible to do the opposite experiment, with the sybody
exclusively included in the liposome lumen. Regardless of this
limitation, the experiment conclusively showed that the sybody
causes the sought-after sidedness of inhibition, and the result
suggests that GltTk had reconstituted in both orientations in the
proteoliposomes, similar to what was shown for GltPh before. To
explain the inhibitory properties of sybody 1, we solved a
structure of the sybody-GltTk complex using single-particle cryo-
EM. The sybody binds on the extracellular surface of GltTk at the
interface between the transport and scaffold domain. ARTICLE ARTICLE COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y Side specific inhibition with sybody. Although the analysis
presented above is internally consistent, as well as consistent with
existing kinetic data for binding on GltPh, there is a potential
complication caused by the proteoliposome system used, because
the reconstitution procedure usually results in a mix of inside-
out- and right-side-out-oriented proteins in the bilayer. For
instance, it has been demonstrated that GltPh reconstitutes in the
two orientations with equal probability10. If the oppositely
oriented
proteins
take
up
aspartate
via
different
kinetic
mechanisms (the equivalence of different mechanisms for for-
ward and reverse transport in vivo), the results of the kinetic
analysis
could
be
convoluted
and
potentially
lead
to
misinterpretation. parameters of the kinetic mechanism of the right-side-out and
inside-out oriented proteins were very similar. Results
T
d Thus, two approaches (analysis of vNa
max (app) and KAsp
M
(app)), reveal a value for k3 that agrees well with the value of
1.2 × 106 M−1 s−1 that was found for GltPh. To derive a rate equation for this kinetic model of Eq. (1), we
used the King-Altman method38,41: is found. Thus, two approaches (analysis of vNa
max (app) and KAsp
M
(app)), reveal a value for k3 that agrees well with the value of
1.2 × 106 M−1 s−1 that was found for GltPh. v0
vmax
¼
a1½Na3 Asp
a1½Na3 Asp
þ a2½Na2 Asp
þ a3 Na
½
Asp
þ a4½Na3 þ a5½Na2 þ a6 Na
½
þ a7
ð2Þ When the apparent affinity constants are plotted in a double
logarithmic plot against the concentration of Na+, linear relations
are approached in both the high and low Na+ concentration
extremes (Fig. 2). The slope is zero at high Na+ concentration
(because KAsp
M
(app) levels off to kcat/k3), and a slope of −1.4 is
found in the low Na+ concentration regime, which deviates from
the slope of −1 predicted by the model. This discrepancy may
indicate that lower concentrations of sodium should have been
used to meet the conditions for Eq. (14) to be valid, something
which was impossible for technical reasons, as discussed above. Alternatively, the deviation might be caused by the experimental
error inherent to the transport measurements at low Na+
concentrations. The slope of the log(KM) plot in the low Na+
concentration regime is approximately twofold shallower than
that of the log(KD) plot, which is consistent with the binding
model36. ð2Þ in which vmax is the maximal attainable rate of transport at high
Na+ and L-aspartate concentrations, and a1– a7 are expressions of
rate constants: a1 ¼ k1k2k3k4
ð3Þ
a2 ¼ k2k3k4kcat þ k1k3k4kcat þ k1k2k3kcat þ k1k2k3k4
ð4Þ
a3 ¼ k1k3k4kcat
ð5Þ
a4¼ k1k2k4kcat
ð6Þ
a5 ¼ k1k2k4kcat þ k1k2k3kcat þ k1k2k3k4
ð7Þ COMMUNICATIONS BIOLOGY | (2021) 4:751 | https://doi.org/10.1038/s42003-021-02267-y | www.nature.com/commsbio 5 5 Discussion Left: cartoon representation of the GltTk protomer (transport domain in blue and
the scaffold in yellow) that has the sybody bound (red). The surface of the protein is shown in transparent representation, and the approximate location of
the membrane boundaries is indicated with dashed lines. Right: sliced-through representation highlighting that the sybody likely blocks movement of the
transport domain along with the scaffold domain. The transport domain is in the intermediate-outward state, as described in ref. 13 c, d Same as in Fig. 1a, b
for a selection of conditions (using the same color coding), but now in the presence of 750 nM sybody on the outside of the liposomes. Table 5 Cryo-EM data collection, refinement, and validation. Data collection and processing
Voltage (kV)
200
Electron exposure (e−/Å2)
53.3
Defocus range (μm)
−0.5 to −2.0
Pixel size (Å)
1.012
Symmetry imposed
C1
Initial dataset (# of particles)
109217
Final dataset (# of particles)
53983
Map resolution (Å) FSC0.143
3.5
Refinement
Initial model used
PDB 6XWQ
Model composition
Nonhydrogen atoms
10357
Protein residues
1378
Ligands
3
Mean B factors (Å2)
Protein
160.2
Ligand
165.8
Rms deviations
Bond lengths (Å)
0.005
Bond angles (°)
0.635
Validation
MolProbity score
2.09
Clash score
17.7
Poor rotamers (%)
0.00
Ramachandran plot (%)
Favored
95.07
Allowed
4.93
Outliers
0.00
Model to map fit CC
0.86 For comparison, if kcat is derived directly from the vmax value of
3.4 nmol × mg−1 × min−1, a value of 2.6 × 10−3 s−1 is found43. The huge discrepancy between the two values is probably
caused by inaccurate protein concentration determination in the
proteoliposomes, or loss of activity during the reconstitution
process. Table 5 Cryo-EM data collection, refinement, and validation. Table 5 Cryo-EM data collection, refinement, and validation. p
It is noteworthy that in the experiments on GltTk presented here, the
k3 value of 1.3 × 106 M−1 s−1 that we determined from the measure-
ment of KAsp
M
(app) and kcat, was remarkably similar to the experi-
mentally determined value of k3 for GltPh of 1.2 × 106 M−1 s−1 36. The
virtually identical rates of aspartate association step in GltPh and GltTk
are consistent with the structures of the binding sites in the two
proteins, which are essentially the same7–9,13,15,16,20,44. Therefore, we
believe that the GltTk protein concentration, used to derive kcat, was
reasonably accurate in this case. Discussion The bound
sybody thereby makes the elevator movement impossible, which
prevents transport (Fig. 4b). The sybody thus inactivates the GltTk
molecules with right-side-out orientation, and the residual uptake
activity can be attributed to the inside-out oriented proteins. y
We chose to use this sybody, added only on the outside of the
proteoliposomes, to repeat a subset of the experiments described
above. First, we tested whether vNa
max (app) still depended on the
aspartate concentration and whether vAsp
max (app) still depended on
the Na+ concentration when the right-side-out oriented mole-
cules were inactivated by the sybody. Indeed, both vmax (app)
values still varied with the concentrations of the co-substrate
(Fig. 4c, d), consistent with the kinetic mechanism (Eqs. (10) and
(11)). Second, we determined whether a constant value for KAsp
M
(app) was still reached in the high Na+ concentration limit, as
predicted by Eq. (13). Indeed, a constant value of ~0.6 μΜ was
found above 100 mM Na+, which intriguingly did not deviate
significantly from the value in the dual-population proteolipo-
somes (Table 5). Assuming that the kcat value of the active
population of inside-out oriented proteins was still ~0.9 s−1, the
value of k3 remained unaltered. In other words, the measurable More importantly, using the same analysis, it is also possible to
determine the turnover number kcat, if k3 is known from binding
experiments (which is the case for GltPh). This notion is relevant,
because quantification of the amount of active transport protein
present in membranes is often difficult, making a direct deter-
mination of kcat from vmax values notoriously error-prone, which
can be easily illustrated by the available data on GltPh. For
aspartate transport by GltPh, the value for KAsp
M
(app) at 100 mM
Na+ has been determined accurately (120 nM)43. Assuming
that this Na+ concentration is sufficiently high to represent the
limit where KAsp
M
(app) has become constant and using the k3
value of 1.2 × 106 M−1 s−1 determined by pre-equilibrium bind-
ing, from Eq. (13) a kcat value of 0.14 s−1 is calculated. This
value has been derived without using the protein concentration. COMMUNICATIONS BIOLOGY | (2021) 4:751 | https://doi.org/10.1038/s42003-021-02267-y | www.nature.com/commsbio Discussion Sybody
Slice through
Membrane
Out
In
Sybody
Scaffol
f
d
domain
Transportr
domai
d
n
b 0
50
100
150
0
10
20
30
Time (s)
Asp uptake
(mol Asp (mol GltTk)-1)
No Sybody
Sybody
on outside
Sybody
on both sides
a b a Sybody Sybody 0
100
200
300
0
5
10
15
[Na+] (mM)
v0 (mol Asp (mol GltTk)-1 min-1)
0.05 M Asp
10 M Asp
d 0
20
40
60
80
100
0
5
10
15
20
[Asp] (µM)
v0 (mol Asp (mol GltTk)-1 min-1)
10 mM Na+
200 mM Na+
c d c ransport by the sybody. a Uptake of aspartate in liposomes reconstituted with GltTk using aspartate and Na+ Fig. 4 Inhibition of aspartate transport by the sybody. a Uptake of aspartate in liposomes reconstituted with GltTk using aspartate and Na+
concentrations of 1 μM and 300 mM respectively. Uptake traces in the absence of sybody (green), in the presence of 750 nM sybody on the outside
(orange), or with sybody present on both sides of the membrane (red). Each data point represents a triplicate measurement (n = 3), and the standard error
of the mean is shown. b Cryo-EM structure of the GltTk-sybody complex. Left: cartoon representation of the GltTk protomer (transport domain in blue and
the scaffold in yellow) that has the sybody bound (red). The surface of the protein is shown in transparent representation, and the approximate location of
the membrane boundaries is indicated with dashed lines. Right: sliced-through representation highlighting that the sybody likely blocks movement of the
transport domain along with the scaffold domain. The transport domain is in the intermediate-outward state, as described in ref. 13 c, d Same as in Fig. 1a, b
for a selection of conditions (using the same color coding), but now in the presence of 750 nM sybody on the outside of the liposomes. Fig. 4 Inhibition of aspartate transport by the sybody. a Uptake of aspartate in liposomes reconstituted with GltTk using aspartate and Na+
concentrations of 1 μM and 300 mM respectively. Uptake traces in the absence of sybody (green), in the presence of 750 nM sybody on the outside
(orange), or with sybody present on both sides of the membrane (red). Each data point represents a triplicate measurement (n = 3), and the standard error
of the mean is shown. b Cryo-EM structure of the GltTk-sybody complex. Discussion COMMUNICATIONS BIOLOGY | (2021) 4:751 | https://doi.org/10.1038/s42003-021-02267-y | www.nature.com/commsbio 6 6 ARTICLE COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y 0
50
100
150
0
10
20
30
Time (s)
Asp uptake
(mol Asp (mol GltTk)-1)
No Sybody
Sybody
on outside
Sybody
on both sides
a
Sybody
Slice through
Membrane
Out
In
Sybody
Scaffol
f
d
domain
Transportr
domai
d
n
b
0
20
40
60
80
100
0
5
10
15
20
[Asp] (µM)
v0 (mol Asp (mol GltTk)-1 min-1)
10 mM Na+
200 mM Na+
0
100
200
300
0
5
10
15
[Na+] (mM)
v0 (mol Asp (mol GltTk)-1 min-1)
0.05 M Asp
10 M Asp
c
d
Fig. 4 Inhibition of aspartate transport by the sybody. a Uptake of aspartate in liposomes reconstituted with GltTk using aspartate and Na+
concentrations of 1 μM and 300 mM respectively. Uptake traces in the absence of sybody (green), in the presence of 750 nM sybody on the outside
(orange), or with sybody present on both sides of the membrane (red). Each data point represents a triplicate measurement (n = 3), and the standard error
of the mean is shown. b Cryo-EM structure of the GltTk-sybody complex. Left: cartoon representation of the GltTk protomer (transport domain in blue and
the scaffold in yellow) that has the sybody bound (red). The surface of the protein is shown in transparent representation, and the approximate location of
the membrane boundaries is indicated with dashed lines. Right: sliced-through representation highlighting that the sybody likely blocks movement of the
transport domain along with the scaffold domain. The transport domain is in the intermediate-outward state, as described in ref. 13 c, d Same as in Fig. 1a, b
for a selection of conditions (using the same color coding), but now in the presence of 750 nM sybody on the outside of the liposomes. COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y mechanistic differences between the mammalian and archaeal
transporters reflect evolutionary pressure to support different
physiological needs is not clear. Alternatively, it is possible that
the apparent differences in kinetic mechanism between GltTk and
EAAC1 are caused by differences in the readout of transport. While transport was measured directly (using radioactivity) for
GltTk, for EAAC1 the substrate-induced chloride conductance
was used as a readout. In addition, different ranges of co-ion
concentrations were used in the study of EAAC1 compared to the
work presented here, which also may make the two studies not
directly comparable. of the empty binding site in the apo-state, movement of the
transport domain in the occluded apo-state, the opening of the
binding site externally. The latter step also includes the rate
constant for reshaping the binding sites for the first two sodium
ions, leading to conformational selection that was shown to occur
in GltPh34. Therefore, differences between GltPh and GltTk that
affect any of these steps may affect kcat, which is observable in the
value for KAsp
M
(app) at high sodium concentrations. M
pp
g
The origin of the differences between GltPh and GltTk may be
similar to that of differences between wild-type GltPh and a faster
“unlocked” mutant18,43. This mutant has the same value for k3 as
the wild-type36, consistent with the observation that the structure
of the binding site is identical to the wild-type. Therefore,
determination of KAsp
M
(app) in the limit of high sodium ion
concentration allows for the derivation of accurate values for kcat. The values for KAsp
M
(app) have been determined at 100 mM Na+
for both wild-type GltPh and the fast mutant (120 nM and 406 nM
respectively)43. If we again assume that this Na+ concentration is
high enough to represent the limit where KAsp
M
(app) becomes
constant for both proteins, then kcat is predicted to be ~3.5 times
higher in the fast mutant, which is in good agreement with bulk
transport data that showed ~4.5 fold difference in vmax values
(although the absolute numbers are both far off for the reasons
discussed above)43. y
p
In conclusion, analysis of the kinetic mechanism of sodium-
coupled aspartate transport by GltTk and GltPh provides a way to
determine accurate turnover numbers from KAsp
M
(app) values,
without the need to use error-prone protein quantification. Methods
Glt
ifi GltTk purification and reconstitution in proteoliposomes. GltTk was produced in
Escherichia coli strain MC1061 with the L-arabinose inducible vector pBad24 as
described in Arkhipova et al. 14. The cells were grown in LB media supplemented
with 100 mg/L ampicillin. The expression was induced by the addition of 0.05% L-
arabinose when the culture reached 0.8 OD600. Three hours after induction the cells
were harvested by centrifugation (7000 RPM, 15′, 4 °C Beckman JLA 9.1000) and
resuspended in ice-cold 20 mM Tris-HCl pH 8. The cells were lysed by means of a
cell disruptor cooled to 4 °C and operated at 25 PSI. The lysate went through an
intermediate centrifugation (7500 RPM, 20′, 4 °C, Beckman JA25.50) step to
remove cell debris, the supernatant was finally ultracentrifuged (40000 RPM 150′,
4 °C, Beckman 50.1 Ti) and the pellet was resuspended in 20 mM Tris-HCl pH 8
before storing the membrane vesicles at −80 °C. While the kinetic mechanism presented here is valid only for
the reverse transport reaction (because we inactivated the
forward-operating transporters by the sybody), it is well possible
that the same mechanism is also used for the forward transport
reaction. The similarity of the forward and reverse kinetic
mechanisms is indeed supported by the essentially identical
kinetic parameters in the presence and absence of the sybody. From a structural point of view, this similarity can be explained
because the transporter uses the same gating element on both
sides of the membrane (“one-gate elevator”), and the binding site
geometry and access path in the inward- and outward-oriented
states are essentially the same13,20,46,47. In future experiments, the
kinetic mechanism for forwarding transport by GltTk may be
tested if we manage to inactivate the inside-out oriented popu-
lation of GltTk molecules by a suitable sybody. g
The membrane vesicles were then added to solubilization buffer (50 mM Tris-
HCl pH8, 300 mM KCl, 1% DDM), incubated for 45′ on a rocking platform at 4 °C,
and finally centrifuged (55,000 RPM, 30′, 4 °C, Beckman MLA 55) to separate
the insoluble fraction from the solubilized protein. The supernatant was
supplemented with 15 mM imidazole pH 8 and with 0.5 mL of Ni-Sepharose slurry
pre-equilibrated with 50 mM Tris-HCl pH 8, 300 mM KCl. After 1 h of incubation
the mixture was loaded onto a Poly-Prep column and unbound protein was
allowed to flow through. COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y This
is of great use for instance when analyzing the effects of muta-
tions. Depending on the details of the kinetic mechanism, it may
also be possible to determine turnover numbers in a similar way
for other transport proteins. To test whether kinetic mechanisms
different from the one analyzed here (Eq. (1)) would also allow
for a similar determination of the turnover number, we used the
King-Altman method38,41 to derive rate equations for all possible
kinetic mechanisms leading to the coupled transport of three
sodium ions and aspartate40. It turns out that if at least one
sodium ion binds after aspartate, KAsp
M
(app) values in the limit of
high sodium concentration equal the ratio between kcat and the
on-rate for aspartate binding (as in Eq. (13)). It is also noteworthy
that this even holds if multiple sodium ions bind randomly (for
instance if steps 1 and 2 in Eq. (1) would be random). Therefore,
it is likely that more transporters can be analyzed in the same way
as presented here, and we conclude that systematic analysis of
transport rates, and derivation of the rate equation, are essential
steps in the elucidation of transport mechanisms. It is also possible to determine turnover numbers using a
recently established transport assay at the single-molecule level45,
but combining turnover numbers from single-molecule transport
measurements with rate constants determined in pre-equilibrium
binding experiments is not straightforward. In pre-equilibrium
binding experiments33,34,36,37 and bulk transport experiments
(presented here), the entire ensemble contributes to the measured
rate constants, and therefore data can be combined to describe
the ensemble properties. In contrast, in single-molecule transport
experiments, the kcat is determined for only a fraction of the
ensemble, and therefore it is difficult to quantitatively extract
ensemble behavior, which would require accounting for the
contribution
of
all
subpopulations
of
(slightly)
differently
behaving
individual
proteins
that
together
make
up
the
ensemble45. Conversely, ensemble measurements also cannot
predict the single-molecule behavior, but the observation that the
kcat value determined by the ensemble measurements is lower
than the maximal kcat value determined in single-molecule
measurements is consistent with the heterogeneity at the single-
molecule level. ARTICLE ARTICLE Discussion The sixfold difference in turnover number kcat between GltPh
and GltTk (0.14 s−1 and 0.9 s−1 respectively) could be caused by
(small) structural differences away from the binding site. kcat is
not a single rate constant but is composed of contributions from
all steps that take place after binding of the last sodium ion in the
catalytic cycle until the binding of the first sodium ion in the next
round of catalysis. These steps include movement of the fully-
loaded transport domain between outward- and inward-oriented
states, the opening of the binding site towards the lumen of the
liposomes, the release of the sodium ions and aspartate, occlusion 7 7 COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y suspension on the side of a test tube containing 200 μL of reaction buffer and
subsequently flushing them in the reaction buffer with 2 mL of ice-cold quenching
buffer (10 mM potassium phosphate (pH 7), 300 mM KCl). BioBeads in three steps: First 15 mg/mL BioBeads were added followed by
incubation for 60′ at 4 °C, then 19 mg/mL BioBeads were added followed by
overnight incubation at 4 °C. Finally, 29 mg/mL BioBeads were added followed
by 120′ incubation at 4 °C. BioBeads were then removed and the proteoliposomes
were pelleted (80,000 RPM, 25′, 4 °C, Beckman MLA80) and resuspended in 50 mM
potassium phosphate buffer (pH 7) to a final lipid concentration of 20 mg/ml. The
proteoliposomes were subjected to three cycles of freeze-thawing using liquid
nitrogen and stored until use. p
p
p
p
The value for each uptake rate represents the average and standard error of
three independent biological replicates (different batches of expressed, purified, and
reconstituted protein), each constituted by two or three technical replicates. The
substrate-dependent uptake rates obtained at a fixed concentration of Na+ were
plotted as a function of L-aspartate, and the Michaelis-Menten equation was fitted
to the data to obtain apparent KM (KAsp
M
(app)) and vmax (vAsp
max (app)) values for
different [Na+]. The co-ion-dependent uptake rates obtained at a fixed
concentration of L-aspartate were plotted as a function of Na+, and the Hill
equation was fitted to the data for obtaining KM (KAsp
D
(app)), vmax (vNa
max (app)),
and nHill values for different [L-Asp]. The statistical analysis of the data was
executed in GraphPad Prism 9. Sybody selection. Sybodies were selected against two GltTk cysteine mutants (298
C and 367 C), which while biotinylated and immobilized during the selection
procedures would make extracellular and intracellular epitopes accessible for
binding, respectively. Selection was done in the presence of 50 µM L-aspartate, 150
mM NaCl, and 0.15% DM according to an established in vitro selection platform
that included ribosome display, two rounds of phage display, and ELISA (Zim-
mermann et al.39,42). During ELISA, every single clone was analyzed for binding
against GltTk in the presence and absence of L-aspartate. Sequencing of 48 ELISA
positive hits resulted in 42 unique sybody sequences (20 for the 298 C mutant and
22 for the C367 mutant). Single particle Cryo-EM. COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y The structure of GltTk in complex with sybody 1 (molar
ratio 3:1) was determined using essentially the same protocol as described in
Arkhipova et al.13, in the presence of 300 mM Na+ and 50 μM L-Asp. The purified
complex at the concentration of 0.5–1 mg/ml was applied onto freshly glow-
discharged Quantifoil grids (Au R1.2/1.3, 300 mesh) at 22 °C and 100% humidity
and plunged-frozen in liquid ethane. The Cryo-EM data were collected using 200-
keV Talos Arctica microscope (Thermo Fisher). Cryo-EM image processing was
performed using cryoSPARC software49. Sybody expression and purification. Each of 42 sybodies was expressed in E. coli,
purified from the periplasm using Ni2+-affinity chromatography, and analyzed by size
exclusion chromatography (SEC). Based on the quality of the SEC profiles (absence of
aggregates, no interactions with column material, high yield) we selected 33 purified
sybodies (14 for the 298 C mutant and 19 for the 367 C mutant), which were tested
for their ability to inhibit GltTk transport of aspartate in uptake assays. For large scale
purification of inhibitory sybody 1, a preculture of E. coli MC1061 transformed with
pSB_initSB1 was used to inoculate 50 mL of TB medium supplemented with 25 µg/ml
chloramphenicol. The culture was grown for 2 h at 37 °C while shaking at 200 rpm,
the temperature was then lowered to 22 °C and let grow until OD ~0.8. The In brief, 824 micrographs were selected for the processing after motion
correction and CTF estimation. The template for particle picking was generated
from 100 manually picked particles. Template-based picking identified 109,217
particles. Subsequent 2D classification reduced the number of particles to 67,498
and subsequently 53,983 particles were left in the selected ab initio class. Final non-
uniform 3D refinement resulted in a 3.5 Å map (with C1 symmetry applied), which
was sharpened using Autosharpen Map procedure in Phenix50 and used for model
building using Coot51. The refinement of the coordinates was performed in the
realspace refine module of Phenix52. The data collection and refinement statistics
are shown in Table 5. Visualization and structure interpretation was carried out in
UCSF Chimera53 and PyMol (Schrödinger, LLC). expression was induced by adding L-arabinose to a final concentration of 0.02% and
let express overnight at 22 °C while shaking. Data availability Data supporting the findings of this manuscript are available from the corresponding
authors upon reasonable request. A reporting summary for this Article is available as a
Supplementary Information file. The source data underlying Figs. 1–4 and Tables 1–4 are
provided as a Supplementary Data 1. The three-dimensional cryo-EM density map of the
glutamate transporter homolog GltTk bound to the sybody has been deposited in the
Electron Microscopy Data Bank under accession number EMD-12314 (https://www.ebi. ac.uk/pdbe/emdb/). Coordinates of the corresponding five models have been deposited in
the Protein Data Bank under the accession number 7NGH (https://www.rcsb.org/). Transport assay. The lumenal buffer in each proteoliposome preparation was
changed to 10 mM potassium phosphate buffer (pH 7) and 300 mM KCl. For this,
the proteoliposomes were first pelleted (80,000 RPM, 25′, 4 °C, Beckman MLA80)
and then resuspended in the lumenal buffer. After three freeze-thaw cycles, the
suspension was extruded 11 times through a polycarbonate filter with 400-nm pore
size in order to obtain homogeneously sized unilamellar vesicles which were pel-
leted (80,000 RPM, 25′, 4 °C, Beckman TLA100.3) and resuspended to a final lipid
concentration of 100 mg/mL. To completely inhibit aspartate transport of GltTk by sybody 1 (on both sides of
the membrane) the lumenal solution was supplemented with 150 µM of sybody 1. After performing 6 freeze-thaw cycles, and extrusion (11 times) through a To completely inhibit aspartate transport of GltTk by sybody 1 (on both sides of
the membrane) the lumenal solution was supplemented with 150 µM of sybody 1. After performing 6 freeze-thaw cycles, and extrusion (11 times) through a
polycarbonate filter with 400-nm pore size, the homogeneous solution was pelleted
(80,000 RPM, 20′, 4 °C, Beckman TLA100.1) and resuspended to a final lipid
concentration of 100 mg/mL in a solution containing 75 µM of sybody 1, 10 mM
potassium phosphate buffer (pH 7) and 300 mM KCl. Received: 23 February 2021; Accepted: 26 May 2021; Received: 23 February 2021; Accepted: 26 May 2021; polycarbonate filter with 400-nm pore size, the homogeneous solution was pelleted
(80,000 RPM, 20′, 4 °C, Beckman TLA100.1) and resuspended to a final lipid
concentration of 100 mg/mL in a solution containing 75 µM of sybody 1, 10 mM
potassium phosphate buffer (pH 7) and 300 mM KCl. References 1. Danbolt, N. C. Glutamate uptake. Prog. Neurobiol. 65, 1–105 (2001). 2
K
B I & Sh
I A i
f L
l
b
b 2. Kanner, B. I. & Sharon, I. Active transport of L-glutamate by membrane
vesicles isolated from rat brain. Biochemistry https://doi.org/10.1021/
bi00612a011 (1978). 2. Kanner, B. I. & Sharon, I. Active transport of L-glutamate by membrane
vesicles isolated from rat brain. Biochemistry https://doi.org/10.1021/
bi00612a011 (1978). To start the transport the proteoliposome suspension was diluted 100 fold into
external buffer while stirring. The external buffer contained 10 mM potassium
phosphate buffer (pH 7), 3 μM valinomycin, 1–300 mM NaCl, 0.05–100 μM L-
aspartate; to balance the osmotic strength with that of the lumenal solution, choline
chloride was added (Table 1). In case the sybody was present, the 100-fold dilution
resulted in a final external concentration of sybody of 750 nM. 3. Freidman, N. et al. Amino acid transporters and exchangers from the SLC1A
family: structure, mechanism and roles in physiology and cancer. Neurochem. Res. https://doi.org/10.1007/s11064-019-02934-x (2020). 4. Jensen, A. A., Fahlke, C., Bjørn-Yoshimoto, W. E. & Bunch, L. Excitatory
amino acid transporters: Recent insights into molecular mechanisms, novel
modes of modulation and new therapeutic possibilities. Curr. Opin. Pharmacol. 20, 116–123 (2015). After the indicated incubation period (20 s for the data in Figs. 1 and 4c, d),
2 mL of ice-cold quenching buffer (10 mM potassium phosphate (pH 7), 300 mM
KCl) was added. The content of the tube was then poured onto a BA 45
nitrocellulose filter which was then washed with 2 mL of quenching buffer. The
filters were finally dissolved in scintillation cocktail Ultima Gold (Perkin Elmer)
and the β-decay from the radiolabeled substrate was counted. The time-point zero
measurements for each condition was measured by pipetting the liposome After the indicated incubation period (20 s for the data in Figs. 1 and 4c, d),
2 mL of ice-cold quenching buffer (10 mM potassium phosphate (pH 7), 300 mM
KCl) was added. The content of the tube was then poured onto a BA 45
nitrocellulose filter which was then washed with 2 mL of quenching buffer. The
filters were finally dissolved in scintillation cocktail Ultima Gold (Perkin Elmer)
and the β-decay from the radiolabeled substrate was counted. The time-point zero
measurements for each condition was measured by pipetting the liposome 5. Zerangue, N. & Kavanaugh, M. P. Flux coupling in a neuronal glutamate
transporter. COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-021-02267-y Cells were pelleted and resuspended in
5 mL periplasmic extraction buffer (20% sucrose (w/v) 50 mM Tris-HCl (pH 8.0), 0.5
mM EDTA and 0.5 µg/ml lysozyme) and incubated on ice for 30 min, after incubation
20 mL of TBS (20 mM Tris-HCl (pH 7.4) 150 mM NaCl) supplemented with 1 mM
MgCl2 were added. The lysate was centrifuged at 4000 g for 20 min and the super-
natant was transferred in a tube containing 500 μL of Ni-sepharose pre-equilibrated in
TBS and supplemented with imidazole to a final concentration of 15 mM. After 1 h
incubation on a shaking platform, the solution containing the SyBody was applied to a
polyprep gravity column and the unbound fraction was let flow through. The resin
was then washed with 10 CV of TBS supplemented with 30 mM imidazole and eluted
in 500 µl of TBS supplemented with 300 mM imidazole. The sybody solution was
then passed through a NAP-10 column equilibrated with the internal uptake buffer
(10 mM potassium phosphate buffer (pH 7), 300 mM KCl) and stored at −80 °C. sybody 1 was selected from the library created by the mutant 298 C. Statistics and reproducibility. Each uptake rate represents the average of three
independent biological replicates (separate purifications and reconstitutions), each
constituted by two technical replicates, and the standard error of the mean is
shown in the figures and tables. Reporting summary. Further information on research design is available in the Nature
Research Reporting Summary linked to this article. Data availability To inhibit only the right-side-out fraction of GltTk a homogeneous solution of
proteoliposomes was prepared as described above (with lumenal buffer devoid of
sybody) and after pelleting by ultracentrifugation it was resuspended to a final lipid
concentration of 100 mg/mL with a solution containing 75 µM of sybody 1, 10 mM
potassium phosphate buffer (pH 7) and 300 mM KCl. Methods
Glt
ifi The column was washed with 20 column volumes of
washing buffer (50 mM Tris-HCl, 300 mM KCl, 60 mM imidazole, 0.15% DM) and
finally eluted in three fractions of 300, 800, and 400 μL respectively using elution
buffer (50 mM Tris-HCl, 300 mM KCl, 500 mM imidazole, 0.15% DM). The
second fraction was loaded onto a Superdex-200I gel filtration column equilibrated
with 10 mM HEPES pH 8, 100 mM KCl and 0.15%DM. The final concentration of
the purified protein was determined by measuring the absorbance at 280 nm (GltTk
ε = 37,360). The lipids used to reconstitute GltTk contained a 3:1 mixture of E. coli lipid
polar extract and egg phosphatidylcholine (PC) (Avanti). Liposomes were
homogenized by extruding 11 times through a 400 nm pore size polycarbonate
filter and subsequently diluted to 5 mg/mL in 50 mM potassium phosphate buffer
(pH 7.0). To allow the insertion of the protein into the bilayer, the lipids were
destabilized by step-wise addition of 10% Triton X-100 while scattering was
followed at a wavelength of 540 nm. The titration was stopped once the absorption
signal decreased to about 60% of the maximum value reached. Purified protein was
added at a protein:lipid ratio (w/w) of 1:1600. The protein-lipid mixture was
incubated for 30′ at RT, and then the detergent was removed by addition of In contrast to what we found for GltTk, differences in the
kinetic mechanisms of the forward and reverse reactions have
been
reported
for
the
mammalian
glutamate
transporter
EAAC148. The analysis of EAAC1 transport was based on the
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tion. This work was supported by the Dutch Research Council (NWO TOP grant
714 018 003 to DJS) and EMBO (short term fellowship to AAG) We thank Jan Rheinberger for help with cryo-EM sample preparation and data collec-
tion. This work was supported by the Dutch Research Council (NWO TOP grant
714 018 003 t
DJS)
d EMBO ( h
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(2006). 9 Author contributions G.T. performed all experiments with the exception of the sybody selection (done by A.A. G. with help and supervision from C.A.J.H. and M.A.S.) and the cryo-EM sample pre-
paration (done by V.A.) and structure determination (V.A. and A.G.). All authors
designed experiments and analyzed data. D.J.S. and G.T. wrote the manuscript with input
from all other authors. 30. Groeneveld, M. & Slotboom, D. J. Rigidity of the subunit interfaces of the
trimeric glutamate transporter GltT during translocation. J. Mol. Biol. 372,
565–570 (2007). 31. Verdon, G. & Boudker, O. Crystal structure of an asymmetric trimer of a
bacterial glutamate transporter homolog. Nat. Struct. Mol. Biol. https://doi. org/10.1038/nsmb.2233 (2012). Competing interests g
32. Groeneveld, M. & Slotboom, D. J. Na+:aspartate coupling stoichiometry in the
glutamate transporter homologue GltPh. Biochemistry 49, 3511–3513 (2010). Competing interests
The authors declare no competing interests. p
g
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Injectable collagen in correction of age-related skin changes: experimental and clinical parallels
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Manturova NE1, Stenko AG2, Petinati YaA3, Chaikovskaya EA2 , Bolgarina AA4 Author contribution: Manturova NE — research planning and data interpretation; Stenko AG, Petinati YaA — selection of participants, conducting research,
data interpretation; Chaikovskaya EA — research planning, data collection and interpretation, manuscript preparation; Bolgarina AA — literature analysis,
research planning. Compliance with ethical standards: the study was approved by the Society of Aesthetic Medicine ethical committee (Protocol №2 of September 07, 2017). Registration number at www.ClinicalTrials.gov: NCT03677258. Correspondence should be addressed: Ekaterina A. Chaikovskaya
Olkhovskaya, 27, Moscow, 105066; ktchaikovskaya@yandex.ru Received: 27.09.2018 Accepted: 25.02.2019 Published online: 09.03.2019 Received: 27.09.2018 Accepted: 25.02.2019 Published online: 09.03.2019 DOI: 10.24075/brsmu.2019.010 Manturova NE1, Stenko AG2, Petinati YaA3, Chaikovskaya EA2 , Bolgarina AA4 Manturova NE1, Stenko AG2, Petinati YaA3, Chaikovskaya EA2 , Bolgarina AA4 1 Pirogov Russian National Research Medical University, Moscow, Russia 1 Pirogov Russian National Research Medical University, Moscow, Russia 2 Institute of plastic surgery and cosmetology, Moscow, Russia 3 Izmerov Research Institute of Occupational Health, Moscow, Russia
4 LLC Nearmedic PLUS Moscow Russia 3 Izmerov Research Institute of Occupational Health, Moscow, Russia LLC Nearmedic PLUS, Moscow, Russia To a large extent, age-related facial skin changes, wrinkles and flabbiness, are attributed to the structural alterations in dermis, including of collagen fibers
fragmentation and disorganization. There are various cosmetological correction methods that aim to activate neocollagenesis and dermal remodeling. From
this perspective, intradermal injections of exogenous collagen preparations seem logical. This study aimed to investigate the efficacy and safety of Collost 7%
collagen complex applied to correct the age-related facial skin changes, as well as clarify the possible mechanisms of skin rejuvenation resulting from a course of
intradermal injections. 35 participants entered the study, 30 of them finished it. A set of indicators describing age-related skin changes was assessed with the help
of clinical scales; the assessment revealed a pronounced improvement in the quality of the patients' skin, including smoothed relief in the area of localization of fine
wrinkles. The therapy resulted in a statistically significant improvement of the skin's elasticity, which, combined with the changes discovered through US scanning
(greater dermis thickness and echodensity), is an indirect indication of skin restructuring associated with accumulation of fibrous protein structures. These results
allow parallels with the experimental data that shows activation of neocollagenesis in the skin of laboratory animals after a course of Collost 7% gel. The research
revealed no serious adverse events. A course of collagen administered intradermally can be recommended as an aesthetic correction procedure, as well as means
of prevention of atrophy that has a significant effect on skin's appearance and health status. Keywords: skin ageing, skin rejuvenation, collagen injection Keywords: skin ageing, skin rejuvenation, collagen injection Acknowledgements: the authors would like to thank “Nearmedic Plus” (Moscow) for the support of the clinical observational study, as well as Natalya Indilova,
Galina Sofinskaya, Evgenia Ikonnikova, medical researchers of the Institute of Plastic Surgery and Cosmetology, and Olga Bondareva and Olesya Sidorova, doctors
with Cosmoprodtest SPC, for the assistance they provided in the context of this study. Н. Е. Мантурова1, А. Г. Стенько2, Я. А. Петинати3, Е. А. Чайковская2 , А. А. Болгарина4 1 Российский национальный исследовательский медицинский университет имени Н. И. Пирогова, Москва, Росс 3 Научно-исследовательский институт медицины труда имени академика Н. Ф. Измерова, Москва, Россия аучно-исследовательский институт медицины труда имени академика Н. Ф. Измерова, Москва, Россия Возрастные изменения лица в виде морщин, дряблости кожи во многом связаны со структурными изменениями дермы, в том числе с фрагментацией
и дезорганизацией коллагеновых волокон. Различные методы косметологической коррекции направлены на активизацию неоколлагенеза и
ремоделирование дермы. С этой точки зрения логичным видится проведение внутрикожных инъекций препаратов экзогенного коллагена. Целью
исследования было изучить эффективность и безопасность применения коллагенового комплекса Коллост 7% в коррекции возрастных изменений
кожи лица, а также уточнить возможные механизмы развития эффекта омоложения кожи после курса внутрикожных инъекций. В исследование были
включены 34 участницы, завершили его 30 участниц. Оценка комплекса показателей возрастных изменений кожи с помощью клинических шкал
продемонстрировала выраженное улучшение качества кожи и разглаживание ее рельефа, особенно в области локализации тонких морщин. После
завершения курса лечения достоверно повысилась эластичность кожи лица, что вкупе с изменениями, выявленными при УЗ-сканировании (повышение
толщины дермы и ее акустической плотности), косвенно свидетельствует о структурной перестройке кожи с накоплением белковых волокнистых
структур. Полученные результаты позволяют проводить параллели с данными экспериментальных исследований, показывающими активизацию
неоколлагенеза в коже лабораторных животных после курсового введения геля Коллост 7%. Серьезных нежелательных явлений при проведении
исследования не выявлено. Курсовое внутрикожное введение коллагена можно рекомендовать как процедуру эстетической коррекции, а также в
качестве профилактики развития атрофических процессов, которые существенно сказываются на внешнем виде и здоровье кожи. Ключевые слова: старение кожи, омоложение кожи, инъекции коллагена Благодарности: авторы благодарят компанию ООО «Ниармедик Плюс» (Москва) за поддержку клинического наблюдательного исследования, а также
благодарят Наталью Индилову, Галину Софинскую, Евгению Иконникову — врачей-исследователей АО «Институт пластической хирургии и косметологии»;
Ольгу Бондареву, Олесю Сидорову — врачей НПЦ «Космопродтест» за помощь в проведении исследования. Информация о вкладе авторов: Н. Е. Мантурова — планирование исследования и интерпретация данных; А. Г. Стенько, Я. А. Петинати — подбор
участников, проведение исследования, интерпретация данных; Е. А. Чайковская — планирование исследования, сбор и интерпретация данных,
подготовка рукописи; А. А. Болгарина — анализ литературы, планирование исследования. Соблюдение этических стандартов: исследование одобрено этическим комитетом Общества эстетической медицины (протокол № 2 от 7 сентября
2017 г.). Регистрационный номер на портале www.ClinicalTrials.gov — NCT03677258. Для корреспонденции: Екатерина Александровна Чайковская
ул. Ольховская, д. 27, г. INJECTABLE COLLAGEN IN CORRECTION OF AGE-RELATED SKIN CHANGES:
EXPERIMENTAL AND CLINICAL PARALLELS Manturova NE1, Stenko AG2, Petinati YaA3, Chaikovskaya EA2 , Bolgarina AA4 ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ ДЕРМАТОЛОГИЯ Intradermal injections of the material instantly eliminate the
soft tissue volume deficiency; administered as a course, it
guarantees lasting results [31, 32]. A test for hypersensitivity to
animal collagen is a mandatory measure before any procedures
involving Collost gels. Collagen is the basic protein of any connective tissue,
and half of its total amount resides in surface tissues, making
up about 70% of the skin proteins [6]. The main structural
components of the dermis are fiber-forming collagens of types
I and III. Their complex architectonics define skin's sturdiness,
elasticity, ability to repair [1, 5, 7, 8]. With age, collagen matrix
changes significantly. In part, the change is the results of the
predetermined normal ageing processes, but there are other
factors that speed up these processes, including diseases,
endocrine profile alterations, smoking, unhealthy nutritional
habits, UV radiation, pollutants found in the environment
[1, 9–12]. The studies conducted to date show that the content
of collagen in dermis decreases progressively as people age. After 40, a woman loses approximately 20% of her skin's
collagen every 10 years [7]. Different research contain different
specific data [13–16], but the trend is the same: as people
age, proliferative and synthesizing functions of fibroblasts fade,
their pool diminishes, cells convert to an inactive "collapsed"
phenotype [17]. The quality of collagen fibers changes
together with the quantity: they become compacted due to the
development of additional covalent cross-links of polypeptide
chains. Such structures are more resistant to the action of
matrix metalloproteinases, which catabolize proteins and thus
incite their renewal. Randomly positioned fragmented collagen
fibers that lose focal contacts with fibroblasts accumulate in
extracellular matrix. Cells lose structural and functional contact
with the matrix and convert to an inactive phenotype [9, 12,
17–19]. Thus forms the vicious circle: the changes of the
skin's structure that draw the clinical picture of an "aged face"
consolidate. This thesis is confirmed by the fact that in systemic
scleroderma patients, whose skin is thicker and contains
a greater amount of collagen, age-related facial changes —
wrinkles, folds and enlarged pores — manifest themselves much
later [20]. Metabolism and biochemical effects of a Collost 7% gel
implanted into the skin were detailed in the context of recent
experimental studies [21]. Laboratory animals (rats) were
injected with the material intradermally twice. ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ ДЕРМАТОЛОГИЯ network. The same purpose drives research of such methods
as intracutaneous injection of active peptides, microgranules
of polycaprolactone, implantation of polycaprolactone threads,
exposure to radio frequencies and microfocused ultrasound,
mechanical microperforation of skin, etc. Injecting the dermis
proper with collagen appears etiologically sound. Aesthetic
collagen therapy has been officially recognized about 40 years
ago: in 1981, FDA (Food and Drug Administration) registered
the first injection material based on this substance. Medical
products developed around cow skin collagen are safe and
show good biocompatibility [27]. The assumed pattern of
action of collagen materials administered intradermally includes
temporary hydration of dermis, optimization of the extracellular
matrix properties, and stimulating effect of short peptides
(matricins), a product of biodegradation of exogenous collagen
[8, 28, 29]. Via the biological feedback mechanism, protein
fragments accumulation per se stimulates synthesis of protein
de novo [30]. In the body, skin is multifunctional: it is a barrier and thermal
regulator, immune defense forefront and producer of a wide
range of hormones. Lately, its social function has been drawing
much attention, since appearance of the face, its aesthetic
qualities and signs of diseases thereon, largely define the
person's "external" age. Youthfulness and attractiveness of
the face help people communicate, socialize and maintain the
desired level of social life, which, one way or another, affects
their quality of life and determines personal and professional
success [1]. Therefore, medical researchers continue to study
all the aspects of correction of age-related facial skin changes,
with a certain number of such efforts addressing the topics of
efficacy and safety of the products and methods developed. Assessing external age, people primarily focus on how
noticeable facial wrinkles and skin folds are [2, 3]. The wrinkles
and folds depend on biomechanical properties of skin [4, 5],
which, in turn, are a reflection of the state of dermis' extracellular
matrix, or connective tissue layer. Collost 7% and Collost 15% collagen material in the form
of sterile gel products were developed and are produced in
Russia by BioPHARMAHOLDING; the gels find use in various
situations related to medical treatment, including cosmetological
procedures. The collagen for Collost is derived from cattle
hides; it is purified to remove the impurities without breaking the
native fibrous structure and corrupting properties of the protein. The material is registered as an injectable medical product
(FSR 2008/02112 of February 26, 2016). In cosmetology,
Collost gels are prescribed to counter skin ageing and atrophy. ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ ДЕРМАТОЛОГИЯ Throughout
the entire observation period, which lasted 37 weeks, the
researchers noted constant growth of the levels of total
collagen and its soluble fraction. According to the researchers,
within the several few days after the injection (2nd and 7th days)
collagen level grows due to the presence of exogenous protein,
whereas after a considerable period of time (21st and 37th
days) the same trend signals of activation of neocollagenesis
in the skin. This hypothesis is also confirmed by the fact that
within the same timespans there was registered a significant
intensification of incorporation of radiomarked C14 amino acids
into the skin protein. Through the seven days of observation,
collagenalytic tissue activity was accelerating, which may be
the result of the foreign protein biodegradation. The discovered
processes suggest that exogenous collagen that has its native
structure preserved stimulates synthesis of the skin's native
protein while biodegrading. The above justifies the need for further examination of
various cosmetic methods to restore the collagen framework
of dermis. Along with the aesthetic aspect, it is very important
to work on restoring the skin's reparative resource: as an
organized fiber network, collagen participates in regulation
of migration, proliferation, differentiation of cells and their
interaction [8, 21]. One of the objectives of the prospective observational study
"Investigation of efficacy and safety of Collost 7% collagen
recovery complex applied to correct age-related skin changes"
was to clarify, applying non-invasive diagnostic methods, the
possible mechanisms of skin rejuvenation during and after a
course of intradermal injections. Topical retinoid preparations, laser irradiation and intradermal
injection of fillers (gels of stabilized hyaluronic acid, polylactic
acid, calcium hydroxyapatite particles) were proven to reliably
induce neocollagenesis [22–26]. The action mechanisms
of these means differ, but the result of their application is
the same: affected skin develops a dense fibrous collagen Н. Е. Мантурова1, А. Г. Стенько2, Я. А. Петинати3, Е. А. Чайковская2 , А. А. Болгарина4 Москва, 105066; ktchaikovskaya@yandex.ru Статья получена: 27.09.2018 Статья принята к печати: 25.02.2019 Опубликована онлайн: 09.03.2019 Статья получена: 27.09.2018 Статья принята к печати: 25.02.2019 Опубликована онлайн: 09.03.2019
DOI: 10 24075/vrgmu 2019 010 Статья получена: 27.09.2018 Статья принята к печати: 25.02.2019 Опубликована онлайн: 09.03.2019
DOI: 10.24075/vrgmu.2019.010 BULLETIN OF RSMU 1, 2019 VESTNIKRGMU.RU
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| 71 ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ ДЕРМАТОЛОГИЯ ORIGINAL RESEARCH DERMATOLOGY four participants were screened for fitness to accept a course
of Collost injections, 30 were found fit. four participants were screened for fitness to accept a course
of Collost injections, 30 were found fit. The results were documented using the LifeViz system
(QuantifiCare; France) that makes and enables analysis of 3D
images of the face. Inclusion criteria: female; age 35–65 years; skin phototypes
I–III; signs of facial skin age-related changes; no chronic
diseases at the stage of decompensation; abstention from
any cosmetic procedures during the study. Exclusion criteria:
pregnancy; lactation; infection; dermatosis; malignant skin
neoplasms in the supposed correction zone; systemic
connective tissue diseases that damage skin and subcutaneous
tissue (systemic lupus erythematosus, ring granuloma, discoid
lupus erythematosus, scleroderma, dermatomyositis, etc.);
exacerbation or decompensation of chronic somatic diseases;
infectious, oncological diseases; coagulation disorders,
including iatrogenic caused by drugs taken; use of isotretinoin
within the previous 6 months; propensity hypertrophic and
keloid scars; use of antihistamines, glucocorticoids, NSAIDs,
immunosuppressants and other drugs that affect skin reactivity;
hypersensitivity to the components of the studied medical
product. To assess the safety of Collost intradermal injections, each
procedure was followed by registration of adverse events,
immediate and delayed, that could be connected to the
individual response to collagen material and/or injection itself. The study design implied five visits, screening based on
inclusion and exclusion criteria, allergy testing as prescribed by
the Collost gel material leaflet. Allergy history of the participants
and the result of their allergy tests were scrutinized by an
immunologist. The participants received intradermal injections of Collost
7% three times with an interval of 3 weeks between each. To make the procedures comfortable, they had Acriol Pro
anesthetic cream applied to their skin 1 hour prior to injection. The injected amount was 2 ml stored in prefilled syringes
that were preheated in a thermostat at 40 °C. The skin was
cleaned and disinfected with the help of 0.05% chlorhexidine
digluconate solution; Traumeel gel was applied to the patients'
facial skin at the end of each procedure. The participants
underwent full examination before the course, prior to each
procedure (evaluating the results of the previous ones) and 3
weeks after the course was over. The participants were 36 to 64 years old, (average age —
48.50; 25th and 75th percentiles — 43.00 and 57.00 years),
Caucasian, with a body weight of 52–80 kg and body mass
index less than 30. Safety profile analysis During the study, all participants exhibited the expected local
reactions in the form of skin reddening, slight edemas, palpable
pimples at the injection sites. The reactions occurred after the
procedures and lasted several hours to several days. In spite
of the injection being considerably traumatic, in most cases
bleeding took form of petechiae (point hemorrhages), which
may be explained by the hemostatic properties of collagen. Following a detailed examination, the research program
included a description of the overall condition of facial
skin using 8 indicators (scored against the 5-point Gejnic,
Alexiades-Armenakas scale [33, 34]) calculated into an integral
skin condition indicator, as well as assessment of wrinkles
in 7 zones applying the 5-point MAS (Merz Aesthetic Scale)
validated grading scale [35]. PATIENTS AND METHODS The study lasted from October 2017 to June 2018; it was
conducted at the Institute of Plastic Surgery and Cosmetology
and Izmerov Research Institute of Occupational Health. Thirty- ВЕСТНИК РГМУ 1, 2019 VESTNIKRGMU.RU
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| 72 ORIGINAL RESEARCH DERMATOLOGY ORIGINAL RESEARCH DERMATOLOGY To avoid skewing the clinical picture of facial
skin ageing, the participants maintained a stable body weight
(fluctuations of 2 kg max.) through the entire observation
period. No allergies were found in the histories of 93.33%
of participants; all of them had no allergic reaction to local
anesthetics. The majority of patients (24 people, 80.00%) were
non-smoking, all adhered to a mixed diet. The skin of 16.67%
of them was highly sensitive; the thickness and sensitivity of
skin of other participants was normal. The "average" participant
of this study could be described as follows: a woman about
50 years old with fair skin, photoaging picture fitting her age,
with signs of age-related deformational changes on her face
that are largely the result of progressing flabbiness, i. e.,
changes in the skin's biomechanical properties. Statistica 6.0 (Statsoft; Russia) software was used to perform
statistical analysis; we used nonparametric methods. The data
are presented as medians (Me), 25th and 75th percentiles. The
two groups of dependent markers were compared through
the Wilcoxon test; the differences were considered statistically
significant at p < 0.05. ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ ДЕРМАТОЛОГИЯ ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ ДЕРМАТОЛОГИЯ employed non-invasive diagnostic methods exclusively, which
enabled thorough examination of all participants. collected after the third procedure) (Table 1): the reduction
median reflecting the overall visibility of wrinkles on the MAS
scale was 28.57%. The detailed analysis of wrinkles in certain
zones showed that the most visible changes (skin relief
smoothening) occurred on the forehead, paraorbital areas
("crow's feet" wrinkles), lower eyelid and upper lip (Fig. 1). The criteria suggested by Gejnic et al, Alexiades-Armenakas
[33, 34] were used to assess the overall condition of skin,
including photodamage / photoaging symptoms (modified
assessment pattern). The integrated indicator combined
scores reflecting the state of micro- and macro-relief of the
skin, its color, texture, pigmentation, vascular pattern, elastosis
and keratosis. Post-course, the indicator has decreased
significantly; detailing the results, the visible changes at the
skin relief and color levels (wrinkle and folds reduction) should
be noted. Two patients with thin skin around eyelids saw the
blues spots under their eyes disappear, which was perceived
extremely positively by the patients themselves and their close
ones. Overall, the skin of most participants, acquired a pink hue
and a healthier look. Skin elasticity in 77% of participants has improved
significantly (Table 2): the indicator growth median was 30.90%
for forehead, 19.10% for paraorbital area and 15.75% for
cheeks. All changes are significant (p < 0.05; screening data
compared to data collected after the third procedure). According to the results of the sonography, the following
indicators have improved significantly in all participants post-
course: there was an increase in epidermis thickness (by 30.7–
39.3%), dermis thickness (by 18.7–22.3%), dermis acoustic
density (by 28.7–44.5%, all or some zones of the face) (Table 2,
Fig. 2 and 3) (p < 0.05; screening data compared to data
collected after the third procedure). In the forehead, paraorbital and upper lip zones wrinkles
smoothed out the best. These zones have superficial wrinkles
associated with the dermal skin layer atrophy/alterations [36]. Restoration of the collagen framework of dermis enables
effective correction of skin relief in these areas. However,
correcting deep folds (e. g., nasolabial furrows) requires
intervention at the level of subcutaneous fat. All (100%) participants considered the COllost 7% gel
injection course to be effective. Applying the GAIS scale, half
of them called the result satisfactory and expressed a wish to
have it improved, while another half was fully satisfied with the
result (Fig. 4). ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ ДЕРМАТОЛОГИЯ From a medical doctor's point of view, a third
of participants had the result at the optimal level for them,
whereas the majority did not enjoy a full correction but only a
considerable improvement. In 2 participants, the improvement
was insignificant, an opinion shared by the participants
themselves and the medical researcher. Most researchers see a connection between biomechanical
properties of the skin and quality of the dermis' fibrous collagen
framework. It is logical to assume that the significant skin
elasticity improvement registered in the participants may be
the result of neocollagenesis, generation of mature fibers with
intact structure and sufficient hydrophilicity. The other indirect
confirmations of the skin's restructurisation are the increased
thickness of dermis and growth of its acoustic density, which
were detected by ultrasound scanning. According to the earlier
research [37, 38], reduction of dermis thickness and acoustic Efficacy analysis The equipment-aided tests were: The equipment-aided tests were: • skin elasticity test (cutometry) on forehead, paraorbital
zone, cheek, the devices enabling the test were Multi Skin Test
Center MC-900 and Cutometer Dual MPA-580 (Courage +
Khazaka electronic GmbH; Germany); Statistical analysis showed a significant improvement of the
clinical and aesthetic properties of facial skin and face on
the whole. The integral indicator used to assess the changes
decreased significantly (p < 0.05; screening data compared to
data collected after the third procedure) (Table 1): the reduction
median was 24.26%. It should be explained here that the
integral indicator grows together with the level of contribution
of specific markers (wrinkles, folds, rough skin pattern,
telangiectasia, etc.) to the "aged face" picture. Thus, when this
indicator goes down, the face rejuvenates. • epidermis and dermis thickness test, dermis acoustic
density test, implying ultrasound scanning of the equivalent
collateral patches of skin using DUB SkinScanner (Taberna
pro medicum; Germany) and DermaScan C-System (Cortex
Technology; Denmark) featuring 20–22 MHz sensors. Both medical researchers and participants of the study
assessed the efficacy of cosmetological correction course. The
latter applied the universal Global Aesthetic Improvement Scale
(GAIS) [35]. We have registered significant positive trend in the wrinkle
depth change (p < 0.05; screening data compared to data Table 1. Skin quality indicators, screening and post-course (p < 0.05)
Note: * — this Table and Table 2 provide median values, brackets contain values of 25th and 75th percentiles. Indicator
Screening
Post-course
Integral skin condition indicator, points
14 (10; 17)*
11.5 (8; 13)
Wrinkle visibility (consolidated indicator, 7 zones), points
12 (11; 16)
8 (7; 11) Table 1. Skin quality indicators, screening and post-course (p < 0.05) Table 1. Skin quality indicators, screening and post-course (p < 0.05) BULLETIN OF RSMU 1, 2019 VESTNIKRGMU.RU
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| 73 DISCUSSION This clinical study confirmed the efficacy of Collost 7% as a
correction product for involutional skin changes. The study This clinical study confirmed the efficacy of Collost 7% as a
correction product for involutional skin changes. The study Fig. 1. Wrinkle visibility change dynamics by face zones (screening data compared to post-course data)
Table 2. Structural and functional skin indicators, screening and post-course (p < 0.05)
Indicators
Screening
Post-course
Zones
Zones
Forehead
Paraorbital area
Cheek
Forehead
Paraorbital area
Cheek
Epidermis thickness
(US scan), mm
0.128
(0.105; 0.158)
0.110
(0.105; 0.133)
0.132
(0.108; 0.158)
0.177
(0.151; 0.192)
0.163
(0.150; 0.184)
0.186
(0.162; 0.199)
Dermis thickness
(US scan), mm
1.330
(1.195; 1.531)
1.206
(1.086; 1.376)
1.592
(1.256; 1.869)
1.628
(1.411; 1.790)
1.496
(1.344; 1.672)
1.855
(1.685; 2.094)
Dermis acoustic density
(US scan), c. u. 5.102
(3.741; 13.190)
5.738
(3.778; 13.470)
5.794
(2.877; 11.906)
7.236
(5.672; 13.540)
9.071
(6.026; 17.010)
6.611
(4.739; 13.230)
Skin elasticity
(cutometry), c. u. 52.63
(46.00; 61.45)
55.08
(49.85; 62.65)
55.06
(49.30; 62.00)
66.75
(56.03; 93.39)
65.65
(58.00; 74.16)
63.25
(55.50; 61.50)
Forehead
-33%
-42%
-12%
-49%
-36%
-22%
-12%
Intercilium
Paraorbital areas
Lower eyelid
Upper lip
Nasolabial furrows
Labiomental folds -33%
-42%
-12%
-49%
-36%
-22%
-12% Paraorbital areas
Nasolabial furrows Fig. 1. Wrinkle visibility change dynamics by face zones (screening data compared to post-course data) Fig. 1. Wrinkle visibility change dynamics by face zones (screening data compared to post-course data) Table 2. Structural and functional skin indicators, screening and post-course (p < 0.05)
Indicators
Screening
Post-course
Zones
Zones
Forehead
Paraorbital area
Cheek
Forehead
Paraorbital area
Cheek
Epidermis thickness
(US scan), mm
0.128
(0.105; 0.158)
0.110
(0.105; 0.133)
0.132
(0.108; 0.158)
0.177
(0.151; 0.192)
0.163
(0.150; 0.184)
0.186
(0.162; 0.199)
Dermis thickness
(US scan), mm
1.330
(1.195; 1.531)
1.206
(1.086; 1.376)
1.592
(1.256; 1.869)
1.628
(1.411; 1.790)
1.496
(1.344; 1.672)
1.855
(1.685; 2.094)
Dermis acoustic density
(US scan), c. u. 5.102
(3.741; 13.190)
5.738
(3.778; 13.470)
5.794
(2.877; 11.906)
7.236
(5.672; 13.540)
9.071
(6.026; 17.010)
6.611
(4.739; 13.230)
Skin elasticity
(cutometry), c. u. 52.63
(46.00; 61.45)
55.08
(49.85; 62.65)
55.06
(49.30; 62.00)
66.75
(56.03; 93.39)
65.65
(58.00; 74.16)
63.25
(55.50; 61.50) Table 2. DISCUSSION Structural and functional skin indicators, screening and post-course (p < 0.05) ВЕСТНИК РГМУ 1, 2019 VESTNIKRGMU.RU
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| 74 ORIGINAL RESEARCH DERMATOLOGY Fig 3 US scans of forehead skin: screening (A) post course (B)
А
B А B density is an age-related phenomenon, associated with
diseases or steroid-induced atrophy that can be caused by
the decreasing content of structural fibrillar proteins. Thus, the
growing thickness and acoustic density reflect accumulation of
fibrous structures, restructuring of the skin [39, 40]. According
to our research, the manifestation of these changes was most
evident 3 weeks post-course, which allows a parallel with the
afore-mentioned experimental studies that registered the peak
of collagen content in the laboratory animals' skin 2–4 weeks
after the final Collost 7% injection. B А It should be noted that improvement of the skin's
biomechanical properties, the structural changes observed
after a course Collost 7% injections do not only enhance the
appearance but help to prevent the age-related changes
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v jesteticheskoj medicine. Jeksperimental'naja i klinicheskaja
dermatokosmetologija. 2013; (5): 40–3. 13. Moragas A, Garcia-Bonafé M, Sans M, Torán N, Huguet P,
Martin-Plata C. Image analysis of dermal collagen changes during
skin aging. Analyt Quant Cytol Histol. 1998; (20): 493–9. 33. Gejnic AV, Kiani A, Okushko SS. Novye vozmozhnosti primenenija
glubokoj i poverhnostnoj frakcionnoj abljacii v anti-age terapii. Plasticheskaja hirurgija i kosmetologija. 2013; (4): 625–32. 14. El-Domyati M, Attia S, Saleh F, Brown D, Birk DE, Gasparro F, et al. Intrinsic aging VS photoaging: a comparative histopathological,
immunohistochemical and ultrastructural study of skin. Exp
Dermatol. 2002; (11): 398–405. 34. Alexiades-Armenakas M, Newman J, Willey A, Kilmer S,
Goldberg D, Garden J, et al. 1.
Rittié L, Fisher GJ. Natural and sun-induced aging of human skin.
Cold Spring Harb Perspect Med. 2015; 5 (1): a015370. CONCLUSIONS Fig. 3. US scans of forehead skin: screening (A), post-course (B) collagen framework remodeling process. Thus, Collost 7%
intradermal injections can be considered an effective and
safe method of aesthetic correction. Perhaps, the results of
this study will contribute to the development of etiologically
and pathogenetically substantiated protocols of combined
correction of age-related skin changes that would include
administration of HA, polylactic acids and high-energy methods. According to our study, the course of intradermal injections
of Collost 7% improves the aesthetic appearance of facial
skin, reliably normalizes its color, reduces visibility of wrinkles. Moreover, the positive clinical dynamics occur against the
background of improving biomechanical properties of the
skin (better elasticity) and structural changes identified
by US scanning, which indirectly signal of the dermis Fig. 2. Dynamics of alteration of skin structure indicators, US scans (post-course median against screening data)
44.50%
35.80%
28.70%
21.80%
22.30%
18.70%
39.30%
36%
30.70%
Epidermis thickness (mm)
Forehead
Paraorbital area
Cheek
Dermis thickness (mm)
Dermis acoustic density (c. u.)
Fig. 4. Injection course efficacy assessment, GAIS, applied by participants and medical researchers
7%
40%
53%
7%
60%
33%
Participants
Insignificant improvement
Significant improvement
Optimal result
Doctors Fig. 2. Dynamics of alteration of skin structure indicators, US scans (post-course median against screening data)
44.50%
35.80%
28.70%
21.80%
22.30%
18.70%
39.30%
36%
30.70%
Epidermis thickness (mm)
Forehead
Paraorbital area
Cheek
Dermis thickness (mm)
Dermis acoustic density (c. u.) Fig. 2. Dynamics of alteration of skin structure indicators, US scans (post-course median against screening data)
Fig. 4. Injection course efficacy assessment, GAIS, applied by participants and medical researchers
7%
40%
53%
7%
60%
33%
Participants
Insignificant improvement
Significant improvement
Optimal result
Doctors BULLETIN OF RSMU 1, 2019 VESTNIKRGMU.RU
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| 75 Gunn DA, Rexbye H, Griffiths CE, Murray PG, Fereday A, Catt SD,
et al. Why Some Women Look Young for Their Age. Tregenza T, References Prospective multicenter clinical trial
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future of facial ageing measurement tools? J Cosmet Laser Ther. 2010; 12 (5): 235–41. 16. Cheng W, Yan-hua R, Fang-gang N, Guo-an Z. The content and
ratio of type I and III collagen in skin differ with age and injury. African J Biotechnol. 2011; 10 (13): 2524–9. 17. Fisher GJ, Varani J, Voorhees JJ. Looking older: fibroblast collapse
and therapeutic implications. Arch Dermatol. 2008; 144 (5): 666–72. 36. Tsukahara K, Tamatsu Y, Sugawara Y, Shimada K. The relationship
between wrinkle depth and dermal thickness in the forehead and
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regulation of fibroblast function: redefining our perspective on skin
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a quantitative approach (I): blood flow, pH, thickness, and
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photoaged skin and by collagenase-degraded collagen in vitro. Am J Pathol. 2001; 158 (3): 931–42. 38. Jasaitiene D, Valiukeviciene S, Linkeviciute G, et al. Principles
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эстетической
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Martin-Plata C. Image analysis of dermal collagen changes during
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применения глубокой и поверхностной фракционной абляции
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al. Intrinsic aging VS photoaging: a comparative histopathological,
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radiofrequency system for rhytid and laxity treatment. Dermatol
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Dermatol. 2002; (7): 51–8. 16. References Литература Gunn DA, Rexbye H, Griffiths CE, Murray PG, Fereday A, Catt SD,
et al. Why Some Women Look Young for Their Age. Tregenza T, ВЕСТНИК РГМУ 1, 2019 VESTNIKRGMU.RU
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| 76 ORIGINAL RESEARCH DERMATOLOGY 23. Shao Y, He T, Fisher GJ, Voorhees JJ, Quan T. Molecular basis of
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et al. Influence of facial skin attributes on the perceived age of
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982–91. 24. Wang F, Garza LA, Kang S, Varani J, Orringer JS, Fisher GJ, et al. In vivo stimulation of de novo collagen production caused by cross-
linked hyaluronic acid dermal filler injections in photodamaged
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properties of the skin. Dermatol Surg. 2013; 39 (2): 193–203. 5. Aziz J, Shezali H, Radzi Z, Yahya NA, Abu Kassim NH, Czernuszka J,
et al. Molecular Mechanisms of Stress Responsive Changes in
Collagen and Elastin Networks in Skin. Skin Pharmacol Physiol. 2016; 29 (4): 190–203. 25. Yutskovskaya Y, Kogan E, Leshunov E. A randomized, split-
face, histomorphologic study comparing a volumetric calcium
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26. Stein P, Vitavska O, Kind P, Hoppe W, Wieczorek H, Schürer NY. The biological basis for poly-L-lactic acid-induced augmentation. J Dermatol Sci. 2015; 78 (1): 26–33. ( )
6. Czekalla C, Schönborn KH, Döge N, Jung S, Darvin ME,
Lademann J, et al. Impact of Body Site, Age, and Gender on the
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medical applications and drug delivery systems. J Biomater Sci
Polymer Ed. 1995; 7 (7): 623–45. Microscopy. Skin Pharmacol Physiol. 2017; 30 (5): 260–7. 7. Baroni Edo R, Biondo-Simões Mde L, Auersvald A, Auersvald LA,
Montemor Netto MR, Ortolan MC, et al. Influence of aging on the
quality of the skin of white women: the role of collagen. Acta Cir
Bras. 2012; 27 (10): 736–40. 28. Katayama K, Armendariz-Borunda J, Raghow R, Kang AH, Seyer JM. References Cheng W, Yan-hua R, Fang-gang N, Guo-an Z. The content and
ratio of type I and III collagen in skin differ with age and injury. African J Biotechnol. 2011; 10 (13): 2524–9. 35. Carruthers A, Carruthers J. A validated facial grading scale: the
future of facial ageing measurement tools? J Cosmet Laser Ther. 2010; 12 (5): 235–41. 17. Fisher GJ, Varani J, Voorhees JJ. Looking older: fibroblast collapse
and therapeutic implications. Arch Dermatol. 2008; 144 (5): 666–72. 36. Tsukahara K, Tamatsu Y, Sugawara Y, Shimada K. The relationship
between wrinkle depth and dermal thickness in the forehead and
lateral canthal region. Arch Dermatol. 2011; 147 (7): 822–8. 18. Cole MA, Quan T, Voorhees JJ, Fisher GJ. Extracellular matrix
regulation of fibroblast function: redefining our perspective on skin
aging. J Cell Commun Signal. 2018; 12 (1): 35–43. 19. Varani J, Spearman D, Perone P, Fligiel SE, Datta SC, Wang ZQ, et al. Inhibition of type I procollagen synthesis by damaged collagen in
photoaged skin and by collagenase-degraded collagen in vitro. Am J Pathol. 2001; 158 (3): 931–42. 37. Waller JM, Maibach HI. Age and skin structure and function,
a quantitative approach (I): blood flow, pH, thickness, and
ultrasound echogenicity. Skin Res Technol. 2005; (11): 221–35. 38. Jasaitiene D, Valiukeviciene S, Linkeviciute G, et al. Principles
of high-frequency ultrasonography for investigation of skin
pathology. J Eur Acad Dermatol Venereol. 2011; (25): 375–82. 20. Sawamura S, Jinnin M, Kajihara I, Makino K, Aoi J, Ichihara A, et al. Do scleroderma patients look young? Evaluation by using facial
imaging system. Drug Discov Ther. 2017; 11 (6): 342–5. 39. Kozarova A, Kozar M, Minarikova E, Pappova T. Identification of
the age related skin changes using high-frequency ultrasound. Acta Medica Martiniana. 2017; 17 (1): 15–20. 21. Камилов Ф. Х., Сельская Б. Н., Данилова О. В., Капулер О. М. Метаболизм коллагена в коже экспериментальных животных
при интрадермальной инъекции немодифицированного
бычьего коллагена типа I. Вестник Удмуртского университета. 2017; 27 (3): 356–61. 40. Lacarrubba F, Tedeschi A, Nardone B, Micali G. Mesotherapy
for skin rejuvenation: assessment of the subepidermal low-
echogenic band by ultrasound evaluation with cross-sectional
B-mode scanning. Dermatol Ther. 2008; 21 (Suppl 3): 1–5. 22. Kruglikov I, Neocollagenesis in Non-Invasive Aesthetic Treatments. J Cosmet Dermatol Sci Appl. 2013; 3 (1A): 1–5. BULLETIN OF RSMU 1, 2019 VESTNIKRGMU.RU
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English
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Comparison of regional and global reanalysis near-surface winds with station observations over Germany
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Advances in science and research
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cc-by
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Germany A. K. Kaiser-Weiss1, F. Kaspar1, V. Heene1, M. Borsche1, D. G. H. Tan2, P. Poli2, A. Obregon1, and
H. Gregow3
1Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
2European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
3Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Correspondence to: A. K. Kaiser-Weiss (andrea.kaiser-weiss@dwd.de)
Received: 24 January 2015 – Revised: 9 May 2015 – Accepted: 1 July 2015 – Published: 29 July 2015 A. K. Kaiser-Weiss1, F. Kaspar1, V. Heene1, M. Borsche1, D. G. H. Tan2, P. Poli2, A. Obregon1, and
H. Gregow3 A. K. Kaiser-Weiss1, F. Kaspar1, V. Heene1, M. Borsche1, D. G. H. Tan2, P. Poli2, A. Obregon1, and
H. Gregow3
1Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
2European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
3Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Correspondence to: A. K. Kaiser-Weiss (andrea.kaiser-weiss@dwd.de)
Received: 24 January 2015 – Revised: 9 May 2015 – Accepted: 1 July 2015 – Published: 29 July 2015 an Conference on Applied Climatology (ECAC) Correspondence to: A. K. Kaiser-Weiss (andrea.kaiser-weiss@dwd.de) Abstract. Reanalysis near-surface wind fields from multiple reanalyses are potentially an important informa-
tion source for wind energy applications. Inter-comparing reanalyses via employing independent observations
can help to guide users to useful spatio-temporal scales. Here we compare the statistical properties of wind speeds
observed at 210 traditional meteorological stations over Germany with the reanalyses’ near-surface fields, con-
fining the analysis to the recent years (2007 to 2010). In this period, the station time series in Germany can be
expected to be mostly homogeneous. We compare with a regional reanalysis (COSMO-REA6) and two global
reanalyses, ERA-Interim and ERA-20C. We show that for the majority of the stations, the Weibull parameters
of the daily mean wind speed frequency distribution match remarkably well with the ones derived from the re-
analysis fields. High correlations (larger than 0.9) can be found between stations and reanalysis monthly mean
wind speeds all over Germany. Generally, the correlation between the higher resolved COSMO-REA6 wind
fields and station observations is highest, for both assimilated and non-assimilated (i.e., independent) observa-
tions. As expected from the lower spatial resolution and reduced amount of data assimilated into ERA-20C, the
correlation of monthly means decreases somewhat relative to the other reanalyses (in our investigated period of
2007 to 2010). 14th EMS Annual Meeting & 10th European Conference on Applied Climatology (ECAC) 14th EMS Annual Meeting & 10th European Conference on Applied Climatology (ECAC) 14th EMS Annual Meeting & 10th European Con Adv. Sci. Res., 12, 187–198, 2015
www.adv-sci-res.net/12/187/2015/
doi:10.5194/asr-12-187-2015
© Author(s) 2015. CC Attribution 3.0 Lice nnual Meeting & 10th European Conference on Applied Clima Comparison of regional and global reanalysis
near-surface winds with station observations over
Germany ting & 10th European Conference on Applied Climatology (EC 1
Introduction Atmospheric reanalysis is “a consistent reprocessing of
archived weather observations using a modern forecasting
system” (Dee et al., 2014). The past two decades have
brought forth remarkable advances in the quality and quan-
tity of the resulting reanalysis datasets (Dee et al., 2014;
Bosilovich et al., 2013; Hartmann et al., 2013). These ad-
vances have been accompanied (and in many respects catal-
ysed) by rapid growth in uptake of reanalysis datasets
for a diverse and growing range of applications. But it
remains challenging for individual users to know which
(if any) of the available datasets (whether from reanaly-
sis or other procedures) are appropriate for their applica-
tions (see, e.g., Gregow et al., 2015). Assessing “fitness-for-
purpose” requires synthesising knowledge about (a) the rel-
ative strengths/limitations of the available datasets, (b) the
extent to which such characteristics affect the fidelity of
derived results, and (c) the user’s own application-specific
tolerance of uncertainty; it is important to note that fitness
for one purpose does not guarantee fitness for all purposes. Here, we describe the inter-comparisons that were under-
taken to elucidate the relative properties of the near-surface
winds over Germany in two global and one regional reanaly-
sis datasets on the time scale of days to several years. The
inter-comparisons employ independent wind observations
from German weather stations and also illustrate how re-
analyses can support quality control of the observations. The
COSMO-REA6 regional reanalysis is driven by the global
ERA-Interim reanalysis, and covers Europe with increased
spatial and temporal resolution. We demonstrate that inter-
comparison of reanalyses can help to guide users to useful
scales of variability. Reanalysis wind fields have been found to differ from sta-
tion records on the multi-decadal scale. The so-called “still-
ing effect”, i.e., a decrease of wind speeds deduced from sta-
tion measurements since the 1970s, is reported in many pa-
pers on mid-latitude wind observations (see McVicar et al.,
2012, for a comprehensive review). This is in general con-
trast to various reanalyses, which do not show a stilling ef-
fect (Smits et al., 2005; McVicar et al., 2008, 2012, and ref-
erences therein). Several reasons have been suggested. Long-
term changes in surface roughness could explain, at least
partly, the difference (Vautard et al., 2010; Wever, 2012). Changes in aerosols, sea surface temperature and greenhouse
gas concentrations were found to be unlikely causes (Bichet
et al., 2012). A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations 188 a state-of-the-art NWP model, constrained by the whole ob-
serving system. While larger wind energy companies might
be able to build their own wind measurement masts and de-
velop sophisticated analyses, other users like smaller enter-
prises, district managers, government agencies, or interested
individual citizens rely on products based on station mea-
surements at 10 m above ground, and statistical models build
upon those, like e.g., wind climatologies at levels of interest
for wind energy production (Gerth and Christoffer, 1994). All these users might draw benefit from our study. 1
Introduction There still remain the possibilities that measure-
ment artefacts, or processes not modelled in the reanalysis,
may contribute to the discrepancies. In this work we do not investigate the multi-decadal still-
ing effect directly, but report on a preparatory multi-annual
study. We focus on the area of Germany and the period 2007
to 2010. Although the dataset is short, it is best fitted for the
inter-comparison since all stations are known to operate au-
tomatically, instrumental problems are unlikely, and changes
in surface roughness are negligible. This allows us to char-
acterize the recent variability captured in regional and global
reanalysis near surface wind fields, and to compare their sta-
tistical characteristics with the traditional station measure-
ments. Several approaches have been identified as useful
for reanalysis comparisons (see Fig. 1) and applied below
for the near-surface wind fields, namely direct comparisons
(Sect. 3.1 and 3.2), thematic comparisons (Sect. 3.3) and in-
ternal metrics comparisons (Sect. 3.4). For the purpose of wind energy production, for example,
there are dedicated wind mast measurements, which mea-
sure at a certain point over a short period of time and at
heights typical for wind energy production. This is highly
valuable for wind energy applications, but it remains de-
sirable to add to this short-term information an estimate of
the inter-annual temporal variability, as is typically avail-
able in the time series of station measurements made for
traditional weather/climate applications (approximately 10 m
above ground). In Germany, these are relatively abundant
and evenly distributed and cover many decades. On the other
hand, observation practices, instruments, and the height of
the sensor above ground might have changed over time. This
information should ideally be found in the metadata accom-
panying the historical station records. It is also valuable to
track changes in the surroundings (like growing trees or
changes in land cover) and measurement or processing er-
rors, but this is not uniformly available worldwide given his-
torical variations in the rigour of observing practice around
the globe. Germany Still, the inter-annual variability connected to the North Atlantic Oscillation (NAO) found in the
reanalysis surface wind anomalies is in accordance with the anomalies recorded by the stations. ce on Applied Climatology (ECAC) ed Climatology (ECAC) We discuss some typical examples where differences are found, e.g., where the mean wind distributions differ
(probably related to either height or model topography differences) and where the correlations break down (be-
cause of unresolved local topography) which applies to a minority of stations. We also identified stations with
homogeneity problems in the reported station values, demonstrating how reanalyses can be applied to support
quality control for the observed station data. Finally, as a demonstration of concept, we discuss how comparing feedback files of the different reanalyses
can guide users to useful scales of variability. Published by Copernicus Publications. 2
Data We used the 10 m wind fields and feedback files containing
the radiosonde data from the global reanalysis ERA-Interim
(Dee et al., 2011). The data of this reanalysis are available
from the ECMWF website http://apps.ecmwf.int/datasets/. ERA-Interim is based on the ECMWF Integrated Forecast
System, IFS (Cy31r2), 4-dimensional variational analysis
(4D-Var) with a 12-h analysis window, and assimilation of a
wide range of surface and upper-air observational data from
both in-situ and satellite instruments. The spatial resolution
of the data set is approximately 80 km (T255 spectral) on 60 Reanalyses also provide wind information, here derived
from a physically consistent state of the atmosphere using Adv. Sci. Res., 12, 187–198, 2015 www.adv-sci-res.net/12/187/2015/ A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observatio 189 Figure 1. Useful approaches for intercomparing reanalyses include:
(1) descriptive, e.g., a comparison table of characteristics, (2) direct
comparisons with in-situ, ground-based remote sensing or satel-
lite observations, (3) thematic comparison, and (4) internal metrics
comparison. tation and measurement time series. From this archive (Au-
gust 2014, version v002), the example station observations
below were chosen. The station observations of wind speeds
are not assimilated within ERA-Interim and ERA-20C, i.e.,
are independent measurements. For COSMO-REA6, station
data below 100 m are assimilated, above 100 m they are not,
i.e., the former may be dependent, the latter are independent
measurements. The
North
Atlantic
Oscillation
(NAO)
index
was
taken from http://www.cru.uea.ac.uk/~timo/datapages/naoi. htm which is an extension of Jones et al. (1997). For our comparison, we took the grid cells matching the
location of the station from the regional reanalysis, and from
the global reanalyses interpolated by 0.125◦(provided by
ECMWF). Because it cannot be expected that processes on
the sub-daily scale can be resolved in the archived global
reanalysis datasets, we compare frequency distributions of
daily means. The correlation coefficients were calculated
with monthly means, which were calculated from daily
means, to avoid the issue of calculating correlations with in-
complete time series. Here we restrict ourselves to the time
period 2007 to 2010, which is the overlap period of COSMO-
REA6 at our disposal. 2
Data In this time span, we are relatively
confident no large changes in surroundings of the stations
occurred, the method of measurements remained constant,
and no gross errors are expected. As users would especially
be interested in information about the past spanning many
decades, we include ERA-20C into our preparatory compar-
isons because of its length. ERA-Interim is used as a bench-
mark. Based on the comparison, we discuss the potential of
reanalyses to enhance the traditional approaches for assess-
ing wind variability based on the 10 m station winds. Figure 1. Useful approaches for intercomparing reanalyses include:
(1) descriptive, e.g., a comparison table of characteristics, (2) direct
comparisons with in-situ, ground-based remote sensing or satel-
lite observations, (3) thematic comparison, and (4) internal metrics
comparison. vertical levels from the surface up to 0.1 hPa. For compari-
son with station data, the interpolated fields (interpolated to
0.125◦) as obtained from the ECMWF website are taken. We also used the ERA-20C reanalysis (Poli et al., 2013;
Dee et al., 2014), also accessed through http://apps.ecmwf. int/datasets/. This reanalysis provides a global realization at
spectral resolution T159 which corresponds to the horizontal
resolution of the reduced Gaussian grid of ∼125 km. The
data assimilation method applied is an updated version of
the 4D-Var scheme (IFS Cy38r1) and used a 24-h assimila-
tion window but it assimilated observations of surface pres-
sure and surface marine winds only. From ERA-20C, the
10 m winds as pre-processed by ECMWF and interpolated to
0.125◦horizontal resolution were taken for this comparison
study. www.adv-sci-res.net/12/187/2015/ Adv. Sci. Res., 12, 187–198, 2015 3
Results For an illustration of spatial variability, the 10 m surface
winds from the regional reanalysis COSMO-REA6 and the
interpolated global reanalysis ERA-20C for February 2007
are shown in Fig. 2. The higher wind speeds over the North
and Baltic Seas are prominent in both reanalyses as well as
the sharp decline at the coast line. As expected, due to the
much finer horizontal resolution of the COSMO-REA6 re-
gional reanalysis, higher spatial variability is present here. Note the coincidences of wind features with topographical
features, e.g., mountain ridges in the South of East Germany
(compare to Fig. 3). The features related to topography are
more pronounced in the regional reanalysis, e.g., the land-
sea transition and the wind speed variability over the hetero-
geneous low mountain ranges in Mid-Germany. Note, how-
ever, the close match of the average absolute values of both
reanalysis datasets. The third reanalysis product used is the COSMO-based re-
gional reanalysis of DWD’s Hans-Ertel Centre for Weather
Research (HErZ), University of Bonn (Bollmeyer et al.,
2014, http://www.herz-tb4.uni-bonn.de/) called COSMO-
REA6. The regional reanalysis COSMO-REA6 is driven via
the global reanalysis boundary conditions (ERA-Interim) ev-
ery 3 h. It is based on the COSMO-model and applies nudg-
ing as the data assimilation technique. Here we use data from
a configuration that was run for the European CORDEX
domain at a nominal resolution of 0.055◦. From COSMO-
REA6, the wind speed at the ground layer (10 m) as well as
feedback files containing radiosonde data were used in the
work below. The station data and associated metadata were taken from
the freely accessible climate data archive of Deutscher Wet-
terdienst (DWD) which is available through ftp://ftp-cdc. dwd.de/pub/CDC/observations_germany/climate/ (Kaspar et
al., 2013). Available are the station data and associated meta-
data describing the particularities of the station instrumen- Adv. Sci. Res., 12, 187–198, 2015 www.adv-sci-res.net/12/187/2015/ er-Weiss et al.: Comparison of reanalysis near-surface winds with station observations 190 Figure 2. 10 m surface winds from the COSMO-REA6 regional reanalysis (left) and the ERA-20C interpolated wind fields (right) illustrate
the different spatial resolution for the month of February 2007. Figure 2. 10 m surface winds from the COSMO-REA6 regional reanalysis (left) and the ERA-20C interpolated wind fields (right) illustrate
the different spatial resolution for the month of February 2007. ences in temporal sampling of the reanalyses (3 vs. 6 h for
ERA-20C and ERA-Interim respectively). Figure 3. 3
Results Topography of Germany with colour-coded height above
sea level, and location of selected stations. For most station locations, the frequency distributions de-
rived from the reanalyses match well with the one from the
observations (e.g., Nuremberg, see Fig. 4). This might come
as a surprise, given the rather coarse grid resolutions, and
that the 10 m winds are expected to be strongly influenced by
the local scale topography. Some stations show an offset in
wind speed, due to the model height differing from the real
topographic height, e.g., mountain stations like Feldberg-
Schwarzwald (Fig. 5). For some applications, fitness-for-
purpose would therefore be improved by determining a more
representative model height in cases of complex topography. Local influences of topography can result in pronounced dif-
ferences in the frequency distributions. As an extreme ex-
ample, the station Garmisch-Partenkirchen (Fig. 6) is shown,
which is located in a valley for which the restricted repre-
sentativity of the station cannot match the scales resolved
in the reanalyses. Generally, only few histogram mismatches
are found (and less for the higher resolved COSMO-REA6
reanalysis). An unexpected outcome was that some dubious
station data could be identified: Fig. 7 shows an unusually
large proportion of zero wind-speed values; it seems that
these were in fact reported on occasions where no observa-
tions were performed. This illustrates the use of reanalysis
data to support quality control for observed wind data. Wind energy applications often require Weibull parame-
ters, thus Weibull distributions with two parameters had been
fitted to the frequency distributions: Figure 3. Topography of Germany with colour-coded height above
sea level, and location of selected stations. P (ν) = k
c
ν
c
k−1
e−( ν
c )k,
(1) (1) 3.1
Frequency distributions We compare the frequency distributions of daily-mean wind
speed from the reanalyses with the distribution from the sta-
tion observations, using the respective interpolated reanalysis
grid cells containing the geographical location of the station. Daily-mean diagnostics were chosen to accommodate differ- where v is the wind speed (ν ≥0), k is the shape parame-
ter (k > 0), and c is the scale parameter of the distribution
(c > 0). The Weibull parameters and error estimates are cal-
culated with the maximum likelihood method implemented
in the Cran R-project package fitdistrplus (Venables and Rip- Adv. Sci. Res., 12, 187–198, 2015 www.adv-sci-res.net/12/187/2015/ K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations 191 Figure 4. Frequency distribution of daily mean wind speeds in the period 2007 to 2010 for the station Nuremberg (top left) and matching
grid cells of ERA-20C (top right), COSMO-REA6 (bottom left), and ERA-Interim wind fields (bottom right). Figure 4. Frequency distribution of daily mean wind speeds in the period 2007 to 2010 for the station Nuremberg (top left) and matching
grid cells of ERA-20C (top right), COSMO-REA6 (bottom left), and ERA-Interim wind fields (bottom right). Figure 5. Frequency distribution of daily mean wind speeds in the period 2007 to 2010 for the station Feldberg-Schwarzwald (top left) and
matching grid cells of ERA-20C (top right), COSMO-REA6 (bottom left), and ERA-Interim wind fields (bottom right). Figure 5. Frequency distribution of daily mean wind speeds in the period 2007 to 2010 for the station Feldberg-Schwarzwald (top left) and
matching grid cells of ERA-20C (top right), COSMO-REA6 (bottom left), and ERA-Interim wind fields (bottom right). Adv. Sci. Res., 12, 187–198, 2015 www.adv-sci-res.net/12/187/2015/ Weiss et al.: Comparison of reanalysis near-surface winds with station observations 192 Figure 6. Frequency distribution of daily mean wind speeds in the period 2007 to 2010 for the example station Garmisch-Partenkirchen (top
left) and matching grid cells of ERA-20C (top right), COSMO-REA6 (bottom left), and ERA-Interim wind fields (bottom right). Figure 6. Frequency distribution of daily mean wind speeds in the period 2007 to 2010 for the example station Garmisch-Partenkirchen (top
left) and matching grid cells of ERA-20C (top right), COSMO-REA6 (bottom left), and ERA-Interim wind fields (bottom right). Figure 7. Frequency distribution of daily mean wind speeds in the period 2007 to 2010 for the station Selb-Oberfranken (top left) and
matching grid cells of ERA-20C (top right), COSMO-REA6 (bottom left), and ERA-Interim wind fields (bottom right). Figure 7. Frequency distribution of daily mean wind speeds in the period 2007 to 2010 for the station Selb-Oberfranken (top left) and
matching grid cells of ERA-20C (top right), COSMO-REA6 (bottom left), and ERA-Interim wind fields (bottom right). Adv. Sci. Res., 12, 187–198, 2015 www.adv-sci-res.net/12/187/2015/ A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations 193 Figure 8. Pearson correlation coefficient of monthly mean wind speeds (calculated from daily wind speeds) between station observations and
reanalyses: ERA-20C (left), ERA-Interim (middle), and COSMO-REA6 (right). Stations not assimilated in COSMO-REA6 are highlighted
with grey circles. Figure 8. Pearson correlation coefficient of monthly mean wind speeds (calculated from daily wind speeds) between station observations and
reanalyses: ERA-20C (left), ERA-Interim (middle), and COSMO-REA6 (right). Stations not assimilated in COSMO-REA6 are highlighted
with grey circles. Figure 9. Scatterplots of Pearson correlation coefficients for stations that are not assimilated in COSMO-REA6 (left) and stations that are
assimilated (right). Correlations are calculated between monthly mean wind speeds of station observations and COSMO-REA6 (y axis) and
compared to correlations between station observations and ERA-Interim (x axis), respectively. Three of the total 210 stations are outliers
(correlation below 0.5) and are not shown. Figure 9. Scatterplots of Pearson correlation coefficients for stations that are not assimilated in COSMO-REA6 (left) and stations that are
assimilated (right). Correlations are calculated between monthly mean wind speeds of station observations and COSMO-REA6 (y axis) and
compared to correlations between station observations and ERA-Interim (x axis), respectively. Three of the total 210 stations are outliers
(correlation below 0.5) and are not shown. ley, 2010; Delignette-Muller et al., 2014). Weiss et al.: Comparison of reanalysis near-surface winds with station observations The Weibull pa-
rameters for selected stations are compared in Tables 1 and
2, with the dependence on station altitude (listed in Table 3)
clearly prominent. For Hamburg-Fuhlsbüttel, the Weibull pa-
rameters ks (shape) and cs (scale) of the station observa-
tions match well with the ones from reanalyses, also for
Potsdam and Nuremberg. Mountain stations like Feldberg-
Schwarzwald have significantly different c (scale) parame-
ters. Here a more representative height would be needed to be
determined for each reanalysis. The situations in Garmisch-
Partenkirchen and Selb-Oberfranken are different: The sus-
pect histogram of the station data from Selb-Oberfranken
(Fig. 7) causes a deviation of ks (shape) and cs (scale) due to
issues with the missing values of the station recordings. For
stations in complex topography, we expect significant dif-
ferences in Weibull parameters due to the difference of real
topography and model topography and the coarse reanaly-
sis resolution. A close match of Weibull parameters (derived from stations and from reanalyses) could still be due to a
favourable match of height above ground and above model
ground. Thus we need to examine the correlation coefficients
to judge whether reanalysis winds and station observations
are in accordance. For instance, the Weibull parameters of
the station Garmisch-Partenkirchen are not close, but still
comparable to the ones from reanalysis (see Tables 1 and 2),
but there is no correlation found between the time series of
monthly means (see Table 3) which can be explained by its
location in a valley. 3.2
Correlation of reanalysis data with monthly station
data A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observation Still, the correlations over time
do hold (see Table 3) for several exposed mountain stations,
like Feldberg-Schwarzwald. 82 % of stations show a correlation coefficient greater than or
equal to 0.8 and 47 % greater than or equal to 0.9. For ERA-
Interim, these correlations are achieved at more stations (89
and 66 %, respectively), and yet more in COSMO-REA6 (96
and 80 %, respectively). The COSMO-REA6 reanalysis as-
similates station observations below 100 m height; whether
locations contribute assimilated observations or not can be
distinguished in Figs. 8 and 9. In our case, 130 stations are
not assimilated, i.e., are independent from COSMO-REA6. These independent stations show generally an improvement
of correlation with COSMO-REA6 (Fig. 9). In Fig. 8 it can
be seen that the regional reanalysis improves monthly cor-
relations where it can be expected, namely in the areas with
more complex topography (South of Germany, towards the
Alps and Bayrischer Wald in the South-West). Three sta-
tions in complex terrain (Garmisch-Partenkirchen is one of
them) have no correlation with the reanalyses and remain
outside the scales of Fig. 9. Still, the correlations over time
do hold (see Table 3) for several exposed mountain stations,
like Feldberg-Schwarzwald. mate and its spatial extent are of special interest. The North
Atlantic Oscillation (NAO) (Walker and Bliss, 1932; Hurell,
1995), is the main synoptic mode of atmospheric circulation
and climate variability for Germany. Thus it is of interest,
what the magnitude of the NAO-related effect is for the sta-
tion data and to what extend the NAO-related effect is cap-
tured in the surface fields of the reanalysis over Germany. For the recent years, the correlations of the stations and
reanalysis fields are high. The question is, whether the corre-
lation caused by NAO-related effects holds also for the past,
keeping in mind the reanalysis systems might have long-
term variability connected to changes of the observing sys-
tem (Dee, 2005; Dee and Uppala, 2009). To describe the
magnitude of the effect, we select seasonal averages for se-
lected seasons corresponding to high, neutral, and low values
of NAO index, and calculate the anomalies relative to the av-
erage of the period 2007 to 2010. This is done with the inter-
polated ERA-20C near-surface fields. The station anomalies
are calculated analogously, i.e., their reference is also derived
from the station averages. In Fig. A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observation 10, we show examples for
seasons from 2000 and 2002. The NAO-related anomalies
show a west-east gradient (left), or a north-south gradient
(middle and right) over Germany. The first panel (left) corre-
sponds to a neutral NAO index autumn with higher than usual
wind speeds over the western part and lower wind speeds in
the East. With a negative NAO index, the average wind pat-
tern is shifted southwards, leaving the North Sea area with
lower wind speeds on average (middle panel). For the case
of a positive NAO index, the wind pattern is shifted towards Single stations only sometimes show statistically signif-
icant differences between the correlations with the three re-
analyses, but the combined effect of the 210 stations becomes
clear in Fig. 8, and especially in Fig. 9. A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observation 194 Table 1. Weibull parameters k (shape) derived from selected station daily mean wind observations (ks), and from ERA-20C, ERA-Interim,
and COSMO-REA6 interpolated grid cells matching the station locations, together with their 1 σ standard deviations (SD). Table 1. Weibull parameters k (shape) derived from selected station daily mean wind observations (ks), and from ERA-20C, ERA-Interim,
and COSMO-REA6 interpolated grid cells matching the station locations, together with their 1 σ standard deviations (SD). ks
k_ERA-20C
k_ERA-Interim
k_COSMO-REA6
(SD)
(SD)
(SD)
(SD)
Hamburg-Fuhlsbüttel
2.65 (0.05)
2.61 (0.05)
2.56 (0.05)
2.62 (0.05)
Potsdam
2.89 (0.05)
2.56 (0.05)
2.48 (0.05)
2.73 (0.05)
Nuremberg
2.43 (0.04)
2.32 (0.04)
2.25 (0.04)
2.35 (0.04)
Selb-Oberfranken
1.68 (0.03)
2.36 (0.04)
2.26 (0.04)
2.56 (0.05)
Garmisch-Partenkirchen
3.40 (0.06)
3.26 (0.06)
2.94 (0.05)
2.17 (0.04)
Feldberg-Schwarzwald
2.26 (0.05)
2.55 (0.05)
2.07 (0.04)
2.07 (0.04) Table 2. Weibull parameters c (scale) derived from selected station daily mean wind observations (cs), and from ERA-20C, ERA-Interim,
and COSMO-REA6 interpolated grid cells matching the station locations, together with their 1 σ standard deviations (SD). cs
c_ERA-20C
c_ERA-Interim
c_COSMO-REA6
(SD)
(SD)
(SD)
(SD)
Hamburg-Fuhlsbüttel
4.46 (0.05)
4.49 (0.05)
4.77 (0.05)
3.83 (0.04)
Potsdam
4.78 (0.05)
3.90 (0.04)
4.44 (0.05)
3.40 (0.03)
Nuremberg
3.39 (0.04)
3.50 (0.04)
3.99 (0.05)
2.79 (0.03)
Selb-Oberfranken
1.72 (0.03)
3.66 (0.04)
4.17 (0.05)
3.73 (0.04)
Garmisch-Partenkirchen
1.73 (0.01)
2.03 (0.02)
2.49 (0.02)
1.92 (0.02)
Feldberg-Schwarzwald
9.50 (0.12)
2.80 (0.03)
3.40 (0.05)
3.69 (0.05) 82 % of stations show a correlation coefficient greater than or
equal to 0.8 and 47 % greater than or equal to 0.9. For ERA-
Interim, these correlations are achieved at more stations (89
and 66 %, respectively), and yet more in COSMO-REA6 (96
and 80 %, respectively). The COSMO-REA6 reanalysis as-
similates station observations below 100 m height; whether
locations contribute assimilated observations or not can be
distinguished in Figs. 8 and 9. In our case, 130 stations are
not assimilated, i.e., are independent from COSMO-REA6. These independent stations show generally an improvement
of correlation with COSMO-REA6 (Fig. 9). In Fig. 8 it can
be seen that the regional reanalysis improves monthly cor-
relations where it can be expected, namely in the areas with
more complex topography (South of Germany, towards the
Alps and Bayrischer Wald in the South-West). Three sta-
tions in complex terrain (Garmisch-Partenkirchen is one of
them) have no correlation with the reanalyses and remain
outside the scales of Fig. 9. 3.2
Correlation of reanalysis data with monthly station
data The correlation of monthly wind speed from the ERA-20C,
ERA-Interim, and COSMO-REA6 reanalyses with the 210
stations over Germany were calculated with the Pearson cor-
relation for the period 2007 to 2010. In case of ERA-20C, www.adv-sci-res.net/12/187/2015/ Adv. Sci. Res., 12, 187–198, 2015 K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations Our con-
clusion here is that the inter-annual variability in the near sur-
face winds captured in the reanalyses is consistent with the
station time series, considering a time scale of several years. We can detect this common NAO-pattern (in both reanaly-
sis and station data) in recent years. To extend our studies
to longer time scales, we would have to separate the effect the North (left panel). Note that, allowing for some scat-
ter among the stations, they generally match the spatial ex-
tent and the magnitude of the anomaly present in the ERA-
20C fields. The examples picked here have months with a
similar NAO-index, and a rather pronounced NAO anomaly. Of course, the inter-annual wind variability is dependent not
only on the NAO strength, but also on details of the jet stream
position, and the individual storm tracks, when moving to
shorter time scales and selected station positions. Our con-
clusion here is that the inter-annual variability in the near sur-
face winds captured in the reanalyses is consistent with the
station time series, considering a time scale of several years. We can detect this common NAO-pattern (in both reanaly-
sis and station data) in recent years. To extend our studies
to longer time scales, we would have to separate the effect of instrumental changes at the stations from possible effects
of NAO-related variability. For instance, Welker and Martius
(2015) found a positive correlation between the NAO-index
and occurrence of high wind speeds over Switzerland, de-
duced from the global 20CR reanalysis (Compo et al., 2011)
on the inter-annual time scale. Welker and Martius (2015)
found an increase of the correlation at the decadal time scale;
and point to a change of strength of this correlation over time
due to an eastward shift of the NAO pattern. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations 195 Table 3. Pearson correlation coefficient together with its 1 σ-confidence interval, between mean monthly wind speeds from selected station
observations and matching grid cells from interpolated ERA-20C, interpolated ERA-Interim, and COSMO-REA6. Note that for ERA-20C
and ERA-Interim, all station observations are independent. For COSMO-REA6, station observations are assimilated (nudged) as indicated
in the last column. Table 3. Pearson correlation coefficient together with its 1 σ-confidence interval, between mean monthly wind speeds from selected station
observations and matching grid cells from interpolated ERA-20C, interpolated ERA-Interim, and COSMO-REA6. Note that for ERA-20C
and ERA-Interim, all station observations are independent. For COSMO-REA6, station observations are assimilated (nudged) as indicated
in the last column. Station
Altitude
r_ERA-20C
r_ERA-Interim
r_COSMO-REA6
nudged
(conf. int.)
(conf. int.)
(conf. int.)
Hamburg-Fuhlsbüttel
11
0.93
0.96
0.98
yes
(0.90, 0.94)
(0.95, 0.97)
(0.97, 0.98)
Potsdam
81
0.94
0.96
0.98
yes
(0.92, 0.96)
(0.95, 0.97)
(0.98, 0.99)
Nuremberg
314
0.93
0.92
0.97
no
(0.90, 0.94)
(0.89, 0.94)
(0.96, 0.98)
Selb-Oberfranken
535
0.86
0.89
0.89
no
(0.82, 0.90)
(0.86, 0.92)
(0.85, 0.91)
Garmisch-Partenkirchen
719
−0.23
−0.11
−0.04
no
(−0.36, −0.09)
(−0.38, 0.18)
(−0.18, 0.12)
Feldberg-Schwarzwald
1490
0.90
0.89
0.93
no
(0.87, 0.92)
(0.85, 0.91)
(0.91, 0.95) Figure 10. Seasonal anomalies of the ERA-20C 10 m wind speeds compared to the reference period 2007 to 2010 for September, October,
November (SON) of 2000 at neutral NAO-index (left panel), SON2002 at negative NAO-index (middle), and December, January, February
(DJF) 1999/2000 at positive NAO-index (right). Figure 10. Seasonal anomalies of the ERA-20C 10 m wind speeds compared to the reference period 2007 to 2010 for September, October,
November (SON) of 2000 at neutral NAO-index (left panel), SON2002 at negative NAO-index (middle), and December, January, February
(DJF) 1999/2000 at positive NAO-index (right). the North (left panel). Note that, allowing for some scat-
ter among the stations, they generally match the spatial ex-
tent and the magnitude of the anomaly present in the ERA-
20C fields. The examples picked here have months with a
similar NAO-index, and a rather pronounced NAO anomaly. Of course, the inter-annual wind variability is dependent not
only on the NAO strength, but also on details of the jet stream
position, and the individual storm tracks, when moving to
shorter time scales and selected station positions. 3.3
Interannual variability related to NAO For many users, notably renewable energy users, the spatial
characteristics and inter-annual variability of weather and cli- www.adv-sci-res.net/12/187/2015/ Adv. Sci. Res., 12, 187–198, 2015 www.adv-sci-res.net/12/187/2015/ 3.4
Comparing feedback statistics The opportunities to compare reanalyses against stable time
series of fully-independent observations covering a long
time-period are limited. Fortunately, the reanalysis process www.adv-sci-res.net/12/187/2015/ Adv. Sci. Res., 12, 187–198, 2015 Adv. Sci. Res., 12, 187–198, 2015 A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations 196 Figure 11. Root mean square errors of analysis departures (o-a,
solid line) and background departures (o-b, dashed line) for Lin-
denberg radiosonde observations of wind speed at standard pres-
sure levels, in January 2011: feedback statistics for the ERA-Interim
(black) and COSMO-REA6 (red). agated for a lead time of 3 h. In addition, the sounding data
that have influenced the initial conditions for the background
forecasts in both systems are comparable. At leading order,
the regional and global reanalyses both match the sound-
ing observations to the same extent, for the statistical sam-
ple investigated here. The match is not uniform, for example
ERA-Interim o-b exhibits large values around 400 hPa while
COSMO o-b exceeds ERA-Interim o-b between 1000 and
700 hPa. While the limited sample shown here does not per-
mit such discrepancies to be definitively traced to specific
system deficiencies, this example highlights a more general
issue: namely, that relatively few users have the tools and
skills to identify such discrepancies, or to make informed as-
sessments of any consequent impacts in their particular ap-
plication, and hence lack clarity on whether a dataset is fit for
their specific purpose. We believe that these are important is-
sues that warrant attention in the context of current efforts to
develop climate services. Figure 11. Root mean square errors of analysis departures (o-a,
solid line) and background departures (o-b, dashed line) for Lin-
denberg radiosonde observations of wind speed at standard pres-
sure levels, in January 2011: feedback statistics for the ERA-Interim
(black) and COSMO-REA6 (red). To draw conclusion on the performance of the different
systems, a comparison of observations to background (o-b)
is easier to interpret than observations to analysis (o-a), be-
cause the background can be regarded, in first approximation
(in the absence of time-correlated errors), as rather indepen-
dent from the observations. From Fig. 11 we can see that the
background of ERA-Interim and COSMO-REA6 are similar,
but differ to up to 25 %. Both analyses are drawn closer to the
observations, which shows the effect of the data assimilation
for this example. 3.4
Comparing feedback statistics Comparing the resulting analyses with each
other is harder, because the analysis depends on the observa-
tions to a degree that varies between the different assimila-
tion systems. For more conclusions, longer periods of feed-
back statistics with comparable forecast lead times should be
analysed, which were not available at the time of writing. provides opportunities to use the assimilated observations in
a quasi-independent manner, by comparing these observa-
tions against the free forecasts (or background fields) which
are started from the preceding (re-)analysis window. These
so-called feedback statistics are in fact routinely produced by
the data assimilation system, and relate assimilated observa-
tions, free forecasts (i.e., background fields), analysis incre-
ments, and analysis fields to each other. They yield valuable
additional information, e.g., estimates of the analysis error
or diagnostics on systematic changes in increments which, if
traced to biases in observations or model (or both), indicate
deficiencies in the system. Favourable statistics may show
that the frequency distribution and time series of observed
and reanalysed parameters are matching. Thus, it is poten-
tially of high practical value for the user to take into account
the results of feedback statistics. www.adv-sci-res.net/12/187/2015/ 4
Summary and conclusions Here we inter-compared the frequency distributions, Weibull
parameters and monthly to inter-annual variability of re-
gional and global reanalysis near surface wind fields of the
recent years (2007–2010). We illustrated three approaches,
namely direct comparison (with independent station mea-
surements), thematic comparison (the magnitude and spatial
extend of NAO-related mean wind speed anomalies) and in-
ternal metrics (feedback statistics). As a demonstration of concept, here we analyse the
differences between observations (o), background (b), and
(re-)analysis (a) of wind speed for a global (ERA-Interim)
and the COSMO-REA6 regional reanalysis, for the Linden-
berg radiosondes launched at 06Z (see Fig. 11). Care must
be taken to make the differences arising from different re-
analysis systems as comparable as possible. In particular,
the uncertainties of the background fields from the reanal-
ysis systems should be made as similar as possible. These
uncertainties depend on the initial condition uncertainty and
the growth of this uncertainty with forecast lead time. The
forecast lead times of both systems should be comparable. In our example, COSMO background fields valid at 06Z are
taken from forecasts initialized at 0Z and propagated for a
lead time of 6 h. The most comparable ERA-Interim back-
ground fields are from forecasts initialized at 3Z and prop- The 2 σ confidence intervals of the Weibull parameters de-
rived from the reanalysis wind fields overlap the ones de-
rived from the stations in most cases for the Weibull shape
parameter (k), whereas the Weibull scale parameters (c) dif-
fer more. With respect to correlations, generally the ERA-
20C fits the station data well, ERA-Interim fits better, and
the regional COSMO-REA6 reanalysis is closest to the sta-
tion data. This is valid for the daily, monthly, and seasonal
scale, for the period investigated here (2007 to 2010). It has
to be kept in mind that the station observations situated be- www.adv-sci-res.net/12/187/2015/ Adv. Sci. Res., 12, 187–198, 2015 A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations A. K. Kaiser-Weiss et al.: Comparison of reanalysis near-surface winds with station observations 197 low 100 m a.s.l. are assimilated within COSMO-REA6. The
increased correlation with COSMO-REA6 holds true regard-
less whether or not a station contributes observations that are
assimilated in COSMO-REA6. References Bichet, A., Wild, M., Folini, D., and Schär, C.: Causes for decadal
variations of wind speed over land: Sensitivity studies with
a global climate model. Geophys. Res. Lett., 39, L11701,
doi:10.1029/2012GL051685, 2012. The correlation holds for ERA-20C, even though fewer
observations are assimilated than in ERA-Interim and the
spatial resolution is significantly reduced. The correlation
with COSMO-REA6 reanalysis is highest, because of sev-
eral, and possibly combined, reasons: the higher resolution
of the model, the regional data assimilation (nudging), and
possibly also the higher temporal resolution of the output. It should be kept in mind that COSMO-REA6 is forced ev-
ery 3 h by ERA-Interim, and we compare aggregated daily
means from hourly COSMO-REA6 output with daily means
from 6-hourly ERA-Interim output. While skill is inherited
from ERA-Interim via boundary conditions, we get the addi-
tional benefit from COSMO-REA6, possibly also from the
temporal resolution. Particular the stations with low cor-
relations show a strong improvement, pointing to the ex-
pected difference in the reanalysis performance, namely that
the smaller scales which are resolved with COSMO-REA6
are of importance for the monthly mean near surface wind
speeds, i.e., hinting to that a simple scaling of global reanal-
ysis would not give the same information (on the daily to
monthly time scale). Bollmeyer, C., Keller, J. D., Ohlwein, C., Wahl, S., Crewell, S.,
Friederichs, P., Hense, A., Keune, J., Kneifel, S., Pscheidt, I.,
Redl, S., and Steinke, S.: Towards a high-resolution regional re-
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rol. Soc., 141, 1–15, doi:10.1002/qj.2486, 2014. Bosilovich, M. G., Kennedy, J., Dee, D., Allan, R., and O’Neill,
A.: On the Reprocessing and Reanalysis of Observations for Cli-
mate. Climate Science for Serving Society: Research, Modelling
and Prediction Priorities, edited by: Asrar, G. and Hurrell, J. W.,
Springer Netherlands, 51–71, 2013. Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Al-
lan, R. J., Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G.,
Bessemoulin, P., Brönnimann, S., Brunet, M., Crouthamel, R. I.,
Grant, A. N., Groisman, P. Y., Jones, P. D., Kruk, M. C., Kruger,
A. C., Marshall, G. J., Maugeri, M., Mok, H. Y., Nordli, Ø., Ross,
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Summary and conclusions Noticeable improvement for
COSMO-REA6 correlations are found across Germany, for
instance at stations in Southern Germany, closer to the Alps
(not assimilated in COSMO-REA6), and at the coastline (as-
similated in COSMO-REA6). Author contributions. The ideas and methodologies were devel-
oped by Andrea Kaiser-Weiss, Frank Kaspar, David Tan, Paul Poli
and Hilppa Gregow during the CORE-CLIMAX project. Analy-
ses in the manuscript were conducted by Andrea Kaiser-Weiss,
Frank Kaspar, Vera Heene, Michael Borsche and Andre Obregon. Andrea Kaiser-Weiss prepared the manuscript with contribution
from all co-authors. As expected from the fact that the regional COSMO-
REA6 reanalysis is driven by the global ERA-Interim reanal-
ysis via boundary condition, the feedback statistics exhibit a
similar fit to the Lindenberg radio soundings for both reanal-
ysis systems for our example month of January 2011. Acknowledgements. Andre Obregon and Vera Heene were
supported through the CORE-CLIMAX (grant no. 313085 within
the EU Seventh Framework Programme). Michael Borsche is
supported by the UERRA project (grant no. 607193 within the EU
Seventh Framework Programme). We thank Christoph Bollmeyer
and Liselotte Bach from University of Bonn for the provision of
the COSMO-REA6 feedback files. We thank Karsten Friedrich
(DWD) for his help with the figures. We would like to acknowledge
helpful discussions with Hermann Mächel (DWD). We thank our
two reviewers for their constructive criticism which improved the
manuscript. We demonstrated that although local and regional effects
can be expected to determine the variability in wind fields
measured at the stations (10 m over ground), the frequency
distributions of mean wind speeds match quite well with the
ones of the reanalysis fields for which such effects are at the
sub-grid scale. The correlation of ERA-20C, ERA-Interim
and COSMO-REA6 monthly means with station observa-
tions is high (> 0.8) for the majority of the German stations. Thus we conclude that the monthly and seasonal anomalies
recorded at these stations can be understood as representa-
tive for a wider spatial area, comparable to the resolution of
the reanalyses, at least for the recent years. Due to the short-
ness of period, we cannot make such a statement concerning
inter-annual variability, though the NAO-related anomalies
indicate there is also coherence at the inter-annual scale. Edited by: E. Bazile y
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Independent prognostic genes and mechanism investigation for colon cancer
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Biological Research
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Propose: We aimed to explore the potential molecular mechanism and independent prognostic genes for colon
cancer (CC). Propose: We aimed to explore the potential molecular mechanism and independent prognostic genes for colon
cancer (CC). Propose: We aimed to explore the potential molecular mechanism and independent prognostic genes for colon
cancer (CC). Methods: Microarray datasets GSE17536 and GSE39582 were downloaded from Gene Expression Omnibus. Mean-
while, the whole CC-related dataset were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially
expressed mRNA (DEMs) were identified between cancer tissue samples and para-carcinoma tissue samples in TCGA
dataset, followed by the KEGG pathway and GO function analyses. Furthermore, the clinical prognostic analysis includ-
ing overall survival (OS) and disease-free survival (DFS) were performed in all three datasets. Results: A total of 633 up- and 321 down-regulated mRNAs were revealed in TCGA dataset. The up-regulated mRNAs
were mainly assembled in functions including extracellular matrix and pathways including Wnt signaling. The down-
regulated mRNAs were mainly assembled in functions like Digestion and pathways like Drug metabolism. Further-
more, up-regulation of UL16-binding protein 2 (ULBP2) was associated with OS in CC patients. A total of 12 DEMs
including Surfactant Associated 2 (SFTA2) were potential DFS prognostic genes in CC patients. Meanwhile, the GRP
and Transmembrane Protein 37 (TMEM37) were two outstanding independent DFS prognostic genes in CC. Results: A total of 633 up- and 321 down-regulated mRNAs were revealed in TCGA dataset. The up-regulated mRNAs
were mainly assembled in functions including extracellular matrix and pathways including Wnt signaling. The down-
regulated mRNAs were mainly assembled in functions like Digestion and pathways like Drug metabolism. Further-
more, up-regulation of UL16-binding protein 2 (ULBP2) was associated with OS in CC patients. A total of 12 DEMs
including Surfactant Associated 2 (SFTA2) were potential DFS prognostic genes in CC patients. Meanwhile, the GRP
and Transmembrane Protein 37 (TMEM37) were two outstanding independent DFS prognostic genes in CC. Conclusions: ULBP2 might be a potential novel OS prognostic biomarker in CC, while GRP and TMEM37 could be
served as the independent DFS prognostic genes in CC. Furthermore, functions including extracellular matrix and
digestion, as well as pathways including Wnt signaling and drug metabolism might play important roles in the pro-
cess of CC. Conclusions: ULBP2 might be a potential novel OS prognostic biomarker in CC, while GRP and TMEM37 could be
served as the independent DFS prognostic genes in CC. © The Author(s) 2018. 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. Propose: We aimed to explore the potential molecular mechanism and independent prognostic genes for colon
cancer (CC). Furthermore, functions including extracellular matrix and
digestion, as well as pathways including Wnt signaling and drug metabolism might play important roles in the pro-
cess of CC. Keywords: Colon cancer, Differentially expressed microRNAs, Function and pathway analysis, Independent
prognostic gene, Overall survival, Disease-free survival Keywords: Colon cancer, Differentially expressed microRNAs, Function and pathway analysis, Independent
prognostic gene, Overall survival, Disease-free survival Chunsheng Li1, Zhen Shen1, Yangyang Zhou2 and Wei Yu1* Chunsheng Li1, Zhen Shen1, Yangyang Zhou2 and Wei Yu1* Chunsheng Li1, Zhen Shen1, Yangyang Zhou2 and Wei Yu1* Li et al. Biol Res (2018) 51:10
https://doi.org/10.1186/s40659-018-0158-7 Li et al. Biol Res (2018) 51:10
https://doi.org/10.1186/s40659-018-0158-7 Biological Research Background not suffice as a preventative measure because of the high
risk of rectal cancer if the rectum remains [6]. Colon cancer (CC) is one of the best-understood neo-
plasms from a genetic perspective [1]. Globally, CC is
the third most common type of cancer making up about
10% of all cases [2]. There are over 1.4 million new cases
and 694,000 deaths from the CC in 1 year worldwide [3]. Treatments for CC may include some combination of
surgery, radiation therapy, chemotherapy and targeted
therapy [4, 5]. Although the integrated surgical strategies
increased the survival rate, the removal of the colon may Numerous data indicate that the aberrant accumula-
tion of genetic changes functions as vital roles in initia-
tion and development of colon and rectal cancer [7, 8]. Messenger RNA (mRNAs) are important regulatory mol-
ecules which can affect a variety of cellular and molecular
targets in various cancers including CC [9]. A previous
study shows that different types of mRNA can be used
as tissue- and exosome-based diagnostic biomarkers for
human CC [10]. The high expression of mRNA such as
interleukin-6 can be used as a predictor of relapse in CC
[11]. Furthermore, certain kinds of mRNA can be used
to predict survival in CC patients [12]. A previous study
shows that Ephrin-A1 mRNA is associated with poor *Correspondence: Warner_Y792@hotmail.com
1 Gastrointestinal Colorectal and Anal surgery, China-Japan Union
Hospital of Jilin University, No. 126 Xiantai Street, Changchun, Jilin
130033, China
Full list of author information is available at the end of the article *Correspondence: Warner_Y792@hotmail.com
1 Gastrointestinal Colorectal and Anal surgery, China-Japan Union
Hospital of Jilin University, No. 126 Xiantai Street, Changchun, Jilin
130033, China
Full list of author information is available at the end of the article Li et al. Biol Res (2018) 51:10 Page 2 of 9 prognosis of CC patients based on short disease-free
survival (DFS) data [13]. Alexopoulou et al. showed that
Kallikrein Related Peptidase 11 mRNA expression could
predict poor DSF and overall survival (OS) in colorec-
tal adenocarcinoma patients [14]. Thus, a better knowl-
edge of the molecular mechanisms and cancer associated
gene is vital for the early diagnosis and personalized care
of CC patients. However, the independent prognostic
gene associated with death and recurrence of CC is still
unclear. prognosis of CC patients based on short disease-free
survival (DFS) data [13]. Alexopoulou et al. Background showed that
Kallikrein Related Peptidase 11 mRNA expression could
predict poor DSF and overall survival (OS) in colorec-
tal adenocarcinoma patients [14]. Thus, a better knowl-
edge of the molecular mechanisms and cancer associated
gene is vital for the early diagnosis and personalized care
of CC patients. However, the independent prognostic
gene associated with death and recurrence of CC is still
unclear. [20] and Log2 fold change [21] using Robust Multi-array
Average (RMA) algorithm [22] in Affy software [23]. Finally, a total of 22,844 and 22,854 genes were obtained
from GSE39582 and GSE17536 respectively after data
processing. The DEMs were identified between cancer tissue sam-
ples and para-carcinoma tissue samples in TCGA data-
set based on Student’s t test [24]. P value < 0.05 and
fold change > 2 (or < 1/2) were defined to be statistically
significant. In previous studies, Smith et al. [15, 16] and Marisa
et al. [17] tried to predict the mRNAs associated with
the recurrence and death in CC patients based on gene
expression profiles. Although some valuable biologi-
cal markers for prognosis of CC has been revealed, the
limited sample size and survival evaluation in these stud-
ies are not benefit for the investigation of independent
prognostic genes. Based on the previous results from
Smith et al. and Marisa et al. The Cancer Genome Atlas
(TCGA) dataset associated with CC were added in the
current bioinformatics study. By comparing the data
between cancer tissue samples and para-carcinoma tis-
sue samples in TCGA dataset, the differentially expressed
mRNAs (DEMs) investigation, functional and pathway
enrichment analysis were performed. Furthermore, prog-
nostic analysis including overall survival and disease-
free survival rate investigation was performed based on
data in all three datasets. We hoped to explore molecular
mechanism of CC, and identify candidate independent
prognostic genes for CC prognosis. Clinical prognostic analysis Based on the DEMs obtained in TCGA dataset, the clini-
cal prognostic analyses including overall survival (OS)
and disease-free survival (DFS) analysis were performed
on the datasets which have clinical prognostic informa-
tion. All the three datasets including TCGA, GSE17536
and GSE39582 were used for the overall survival analysis
in the present study. Meanwhile, two datasets including
GSE17536 and GSE39582 were used for the disease-free
survival analysis. The mRNAs in all datasets were divided
into high expression group (H group) and low expression
group (L group) according to the mean value of DEMs. The survival estimation and survival curve examination
were performed using Kaplan–Meier method [29] and
log-rank test [30], respectively. The hazard ratio (HR) was
estimated with the single variable Cox proportional risk
regression model [31]. The independent analysis of prog-
nostic factor was performed based on multivariable Cox
proportional risk regression model [32]. Based on the
Cox proportional risk regression model, the outstanding
DEMs of the single variable in each dataset were consid-
ered as the corrected variables. P < 0.05 was considered
statistically significant. Functional annotation and pathway enrichment analysis
of DEMsh The Database for Annotation, Visualization and Inte-
grated Discovery (DAVID) [25] is a gene functional
classification tool that provides a comprehensive set of
functional annotation tools for investigators to under-
stand biological meaning behind large list of genes. By DAVID software, the Gene Ontology (GO, http://
www.geneontology.org) functional annotation [26] and
Kyoto Encyclopedia of Genes and Genomes (KEGG)
(http://www.genome.jp/kegg/pathway.html) [27] path-
way analyses were performed on DEMs in TCGA data-
set. P < 0.05 was chosen as the cut-off criterion for the
enrichment analysis. The results of GO function and
KEGG pathway analysis were visualized by Erichment-
Map [28] software. The mRNA microarray data Microarray dataset GSE17536 [15, 16] and GSE39582 [17]
were downloaded from Gene Expression Omnibus (GEO,
http://www.ncbi.nlm.nih.gov/geo/) database. A total of
177 invasive murine CC cells sample were included in
dataset GSE17536. Meanwhile, a total of 566 CC samples
were included in GSE39582. The gene expression pro-
file data of GSE17536 and GSE39582 were all generated
based on the platform of Affymetrix Human Genome
U133 Plus 2.0 Array (GPL570 [HG-U133_Plus_2]). Fur-
thermore, the whole CC-related dataset in TCGA data-
base (https://cancergenome.nih.gov/) were downloaded. DEMs investigation With P value < 0.05 and fold change > 2 (or < 1/2), a total
of 954 DEMs including 633 up- and 321 down-regulated
mRNA were revealed in TCGA dataset (Fig. 1). Investigation of DFS prognostic geneh g
p
g
g
The relationship between DMEs and DFS prognostic
genes associated with CC in each dataset was showed in
Fig. 5. The results showed that a total of 12 DEMs were
outstanding in both GSE17536 and GSE39582, includ-
ing Surfactant Associated 2 (SFTA2), LEM Domain Con-
taining 1 (LEMD1), Cartilage Oligomeric Matrix Protein
(COMP), Kinesin Family Member 26B (KIF26B), Kal-
likrein Related Peptidase 10 (KLK10), Matrix Metallo-
peptidase 11 (MMP11), Gastrin Releasing Peptide (GRP),
Twist Family BHLH Transcription Factor 1 (TWIST1),
Regulator Of G Protein Signaling 16 (RGS16), Collagen
Type VIII Alpha 1 Chain (COL8A1), Transmembrane
Protein 37 (TMEM37), Rho GTPase Activating Protein
44 (ARHGAP44) (Table 1). Notably, the relation between Investigation of CC associated OS prognostic genesh Investigation of CC associated OS prognostic genes
The relationship between DMEs and OS in each data-
set was showed in Fig. 3. The results showed that UL16-
binding protein 2 (ULBP2) was the outstanding gene in
all three dataset including TCGA [Log-rank P 0.0030,
HR: 0.552, 95% confidence interval (CI) 0.37–0.82],
GSE17536 (Log-rank P 0.0005, HR: 0.380, 95% CI 0.22–
0.67) and GSE39582 (Log-rank P 0.0092, HR: 0.685, 95%
CI 0.51–0.91). Furthermore, up-regulation of ULBP2
gene was associated with shorter OS of CC patients. The
detail information was showed in Fig. 4. Independent DFS prognostic genes analysis
The independent DFS prognostic genes in CC were
explored in GSE17536 and GSE39582. The results
showed that GRP and TMEM37 were outstanding in
totally 12 DEMs after the multivariate Cox proportional
risk regression (Table 2). Conclusion In sum, ULBP2 might be a potential novel OS prognos-
tic biomarker in CC, while GRP and TMEM37 could be
served as the independent DFS prognostic genes in CC. Furthermore, functions including extracellular matrix
and digestion, as well as pathways including Wnt signal-
ing and drug metabolism may play important roles in the
process of CC. Data preprocessing and DEMs identification Normalized RNA-seq data (including 24,991 genes) of
TCGA dataset were downloaded for the further inves-
tigation. Meanwhile, the CEL source files of GSE17536
and GSE39582 were processed into background adjust-
ment [18], quantile normalization [19], summarization Li et al. Biol Res (2018) 51:10 Page 3 of 9 Results
DEMs investigation
With P value < 0.05 and fold change > 2 (or < 1/2), a total
of 954 DEMs including 633 up- and 321 down-regulated
mRNA were revealed in TCGA dataset (Fig. 1). Fig. 1 Volcano plot showing differentially expressed mRNAs. The
X-axis represents the log fold-change (FC) values; the Y-axis repre-
sents the—log P values; green point represents the down-regulated
mRNAs; the red point represents the up-regulated mRNAs; those
points having a FC larger than 2 (or FC < 1/2) are shown in gray Function annotation and pathway enrichment
investigation With P < 0.05, the GO function and KEGG pathway of
DEMs were investigated, followed by visualized using
ErichmentMap software. As showed in Fig. 2a, extra-
cellular matrix (GO:0031012), chromatin assembly or
disassembly (GO:0006333) and endopeptidase activity
(GO:0004175) were outstanding functions assembled
with up-regulated DEMs. Meanwhile, the Systemic lupus
erythematosus (hsa05322) and Wnt signaling pathway
(hsa04310) were two outstanding pathways enriched by
up-regulated DEMs (Fig. 2a). Fig. 1 Volcano plot showing differentially expressed mRNAs. The
X-axis represents the log fold-change (FC) values; the Y-axis repre-
sents the—log P values; green point represents the down-regulated
mRNAs; the red point represents the up-regulated mRNAs; those
points having a FC larger than 2 (or FC < 1/2) are shown in gray As showed in Fig. 2b, Microsome (GO:0005792), Vesic-
ular fraction (GO:0042598) and Digestion (GO: 0007586)
were outstanding functions assembled with the down-
regulated DEMs, while the Drug metabolism (hsa00983),
Androgen and estrogen metabolism (hsa00150, Genes)
and Retinol metabolism (hsa00830) were outstanding
pathways enriched by down-regulated DMEs (Fig. 2b). up-regulation of SFTA2 and short DFS in CC patients
was showed in Fig. 6. Discussionh The current informatics study revealed the potential
independent prognostic genes for survival of CC, as well
as the molecular mechanism during CC process. A total
of 633 up- and 321 down-regulated DEMs were revealed
between cancer tissue samples and para-carcinoma tis-
sue samples. The up-regulated mRNAs were mainly
assembled in functions including Extracellular matrix
and pathways including Wnt signaling. The down-reg-
ulated mRNAs were mainly assembled in functions like Page 4 of 9 Li et al. Biol Res (2018) 51:10 Fig. 2 The GO function and KEGG pathways enrichment analysis for the up- and down-regulated mRNAs. a the network constructed by the
up-regulated mRNAs; b the network constructed by the down-regulated mRNAs; GO represents Gene Ontology; KEGG represents Kyoto Encyclo-
pedia of Genes and Genomes; the red point represents a certain name of GO function or KEGG pathway; the green line represents the interaction
between two points; the thickness of the line indicates the number of overlapping genes between the different gene sets
Fig. 3 Cox proportional risk regression plot analyses between differentially expressed microRNAs and overall survival in colon cancer. X-axis repre-
sents the logarithm of hazard ratio (HR), the positive expression is associated with better prognosis, and negative expression of gene expression is
associated with poor prognosis; Y-axis represents logarithm of P value for the log-rank test Fig. 2 The GO function and KEGG pathways enrichment analysis for the up- and down-regulated mRNAs. a the network constructed by the
up-regulated mRNAs; b the network constructed by the down-regulated mRNAs; GO represents Gene Ontology; KEGG represents Kyoto Encyclo-
pedia of Genes and Genomes; the red point represents a certain name of GO function or KEGG pathway; the green line represents the interaction
between two points; the thickness of the line indicates the number of overlapping genes between the different gene sets Fig. 2 The GO function and KEGG pathways enrichment analysis for the up- and down-regulated mRNAs. a the network constructed by the
up-regulated mRNAs; b the network constructed by the down-regulated mRNAs; GO represents Gene Ontology; KEGG represents Kyoto Encyclo-
pedia of Genes and Genomes; the red point represents a certain name of GO function or KEGG pathway; the green line represents the interaction
between two points; the thickness of the line indicates the number of overlapping genes between the different gene sets Fig. Discussionh 3 Cox proportional risk regression plot analyses between differentially expressed microRNAs and overall survival in colon cancer. X-axis repre-
sents the logarithm of hazard ratio (HR), the positive expression is associated with better prognosis, and negative expression of gene expression is
associated with poor prognosis; Y-axis represents logarithm of P value for the log-rank test Fig. 3 Cox proportional risk regression plot analyses between differentially expressed microRNAs and overall survival in colon cancer. X-axis repre-
sents the logarithm of hazard ratio (HR), the positive expression is associated with better prognosis, and negative expression of gene expression is
associated with poor prognosis; Y-axis represents logarithm of P value for the log-rank test Fig. 4 Kaplan-Meier analyses for the relation between shorter overall survival and UL16 Binding Protein 2 gene in colon cancer. a The TCGA dataset;
b the GSE17536 dataset; c the GSE39582 dataset Fig. 4 Kaplan-Meier analyses for the relation between shorter overall survival and UL16 Binding Protein 2 gene in colon cancer. a The TCGA dataset;
b the GSE17536 dataset; c the GSE39582 dataset Li et al. Biol Res (2018) 51:10 Page 5 of 9 Fig. 5 Cox proportional risk regression plot analyses between differentially expressed microRNAs and disease-free survival in colon cancer. X-axis
represents the logarithm of hazard ratio (HR), the positive expression is associated with better prognosis, and negative expression of gene expres-
sion is associated with poor prognosis; Y-axis represents logarithm of P value for the log-rank test Fig. 5 Cox proportional risk regression plot analyses between differentially expressed microRNAs and disease-free survival in colon cancer. Discussionh X-axis
represents the logarithm of hazard ratio (HR), the positive expression is associated with better prognosis, and negative expression of gene expres-
sion is associated with poor prognosis; Y-axis represents logarithm of P value for the log-rank test Table 1 The outstanding disease-free prognostic genes for colon cancer
FC fold change, HR hazard ratio, CI confidence interval
P < 0.05 was considered as significant different
Gene
FC
P
GSE17536
GSE39582
Log-rank P
HR
95% CI
Log-rank P
HR
95% CI
SFTA2
63.45
1.6E−91
8.87E−03
0.488
0.49 (0.28–0.84)
2.29E−02
0.708
0.71 (0.53–0.95)
LEMD1
32.47
4.3E−98
1.32E−02
0.506
0.51 (0.29–0.88)
1.47E−02
0.692
0.69 (0.51–0.93)
COMP
14.33
4.3E−82
3.70E−03
0.444
0.44 (0.25–0.78)
1.48E−02
0.691
0.69 (0.51–0.93)
KIF26B
6.86
2.4E−64
5.85E−03
0.466
0.47 (0.27–0.81)
1.09E−02
0.679
0.68 (0.5–0.92)
KLK10
6.06
1.1E−99
5.28E−03
0.462
0.46 (0.26–0.81)
7.06E−03
0.666
0.67 (0.49–0.9)
MMP11
3.74
6.8E−127
2.96E−03
0.44
0.44 (0.25–0.77)
3.68E−02
0.731
0.73 (0.54–0.98)
GRP
3.22
2.4E−15
1.43E−02
0.515
0.52 (0.3–0.88)
1.16E−04
0.554
0.55 (0.41–0.75)
TWIST1
2.59
1.3E−28
4.07E−02
0.562
0.56 (0.32–0.98)
4.29E−02
0.736
0.74 (0.55–0.99)
RGS16
2.29
2.1E−25
1.90E−04
0.346
0.35 (0.19–0.62)
3.48E−02
0.726
0.73 (0.54–0.98)
COL8A1
2.01
9.6E−15
1.68E−04
0.338
0.34 (0.19–0.61)
6.21E−03
0.661
0.66 (0.49–0.89)
TMEM37
0.47
1.3E−23
1.41E−02
1.986
1.99 (1.14–3.47)
1.28E−02
1.457
1.46 (1.08–1.96)
ARHGAP44
0.45
4.8E−20
4.88E−02
1.717
1.72 (1–2.96)
4.58E−02
1.349
1.35 (1–1.82) Table 1 The outstanding disease-free prognostic genes for colon cancer shows that matrix metalloproteinase-9 is an important
marker for analysis of the postoperative prognosis and
risk of metastases in patients with colorectal cancer
[35]. Recently, Wang et al. showed that the extracellular
matrix protein mindin attenuated colon cancer progres-
sion by blocking angiogenesis via Egr-1-mediated regu-
lation [36]. Despite of extracellular matrix, the digestion
function is closed related to cancer preventative activity
[37]. The microflora in digestion system degrades a wide
variety of organic compounds including food additives,
drugs, bile salts and cholesterol which may be relevant shows that matrix metalloproteinase-9 is an important
marker for analysis of the postoperative prognosis and
risk of metastases in patients with colorectal cancer
[35]. Recently, Wang et al. showed that the extracellular
matrix protein mindin attenuated colon cancer progres-
sion by blocking angiogenesis via Egr-1-mediated regu-
lation [36]. Despite of extracellular matrix, the digestion
function is closed related to cancer preventative activity
[37]. Discussionh The microflora in digestion system degrades a wide
variety of organic compounds including food additives,
drugs, bile salts and cholesterol which may be relevant Digestion and pathways like Drug metabolism. Further-
more, up-regulation of ULBP2 was associated with OS in
CC patients. A total of 12 genes including SFTA2 were
potential DFS prognostic genes in CC patients. Mean-
while, the GRP and TMEM37 were two outstanding
independent DFS prognostic genes in CC.h The extracellular matrix is a collection of extracellu-
lar molecules secreted by cells that provides structural
and biochemical support to the surrounding cells [33]. Extracellular matrix plays an important role in cancer
progression as a dynamic niche [34]. A previous study Li et al. Biol Res (2018) 51:10 Page 6 of 9 Fig. 6 Kaplan-Meier analyses for the relation between shorter disease-free survival and Surfactant Associated 2 gene in colon cancer. a The
GSE17536 dataset; b the GSE39582 dataset e survival and Surfactant Associated 2 gene in colon cancer. a The Fig. 6 Kaplan-Meier analyses for the relation between shorter disease-free survival and Surfactant Associated 2 gene in colon cancer. a The
GSE17536 dataset; b the GSE39582 dataset Table 2 The potential disease-free survival independent prognostic gene for colon cancer
HR hazard ratio, HRse hazard ratio standard error
P < 0.05 was considered as significant different
Gene
GSE17536
GSE39582
P
HR
HRse
P
HR
HRse
SFTA2
0.07
0.542
0.28–1.051
0.114
0.775
0.565–1.063
LEMD1
0.465
0.789
0.417–1.491
0.156
0.796
0.581–1.091
COMP
0.871
0.943
0.466–1.91
0.953
0.988
0.658–1.483
KIF26B
0.915
1.042
0.491–2.211
0.808
0.955
0.656–1.39
KLK10
0.319
0.705
0.355–1.401
0.364
0.861
0.623–1.19
MMP11
0.566
0.807
0.388–1.679
0.498
1.148
0.77–1.711
GRP
0.275
0.707
0.38–1.317
0.011
0.612
0.418–0.895
TWIST1
0.215
1.706
0.734–3.967
0.932
1.017
0.686–1.509
RGS16
0.184
0.613
0.298–1.262
0.917
0.982
0.696–1.385
COL8A1
0.088
0.445
0.175–1.128
0.467
0.856
0.563–1.301
TMEM37
0.012
2.177
1.183–4.007
0.114
1.289
0.941–1.766
ARHGAP44
0.931
0.973
0.524–1.807
0.642
1.08
0.782–1.49 Table 2 The potential disease-free survival independent prognostic gene for colon cancer to the development of CC [38]. A previous study shows
that peptides derived from in vitro gastrointestinal diges-
tion can inhibit human colon cancer cells proliferation
and inflammation [39]. In the present study, GO func-
tion analysis showed that the up- and down-regulated
mRNAs were mainly assembled in extracellular matrix
and digestion. Thus, our results reveal that the abnormal
of extracellular matrix and digestion function may play
vital roles in the progression of CC. Abbreviations CC: colon cancer; TCGA: The Cancer Genome Atlas; OS: overall survival; DFS:
disease-free survival. CC: colon cancer; TCGA: The Cancer Genome Atlas; OS: overall survival; DFS:
disease-free survival. g
g
g
Prognostic biomarkers for cancer have the power to
change the course of a disease if they add value beyond
knew prognostic factors [45]. ULBP2, which located on
the chromosome 6, is a gene that encoding the cell sur-
face glycoprotein [46]. A previous study shows that
ULBP2 is a novel prognostic biomarker for CC [47]. Demirkol et al. indicated that ULBP2 was a mRNA
based stage-independent prognostic marker to prognos-
ticate CC in vivo [48]. In the analysis of pancreatic can-
cer, researchers have proved that a high level of soluble
ULBP2 is deemed an independent indicator for OS [49]. In this study, ULBP2 was identified as the unique mRNA
outstanding in all three datasets. Thus, we speculate that
ULBP2 may be used as the OS prognostic biomarker in
CC. Furthermore, GRP is a regulatory molecule that has
been implicated in a number of physiological and patho-
physiological processes [50]. A Previous study shows that
GRP can better predict the prognosis of patients with
colorectal cancer and distant metastasis, and has good
sensitivity and specificity [51]. Matkowskyj et al. con-
firmed that GRP and its receptor’s co-expression had the
function of differentiation, with highest levels observed
in well-differentiated CC cells [52]. Moreover, the trans-
membrane protein is a type of integral membrane pro-
tein that spans the entirety of the biological membrane
to which it is permanently attached [53]. Based on the
results of previous studies, various transmembrane pro-
teins such as MutL Homolog 1 (MLH1) and Bone Mar-
row Stromal Cell Antigen 2 (BST2) are associated with
the progression of CC [54, 55]. Unfortunately, there is no
related study based on transmembrane protein TMEM37
and CC. In the current study, independent DFS prognos-
tic genes analysis showed that GRP and TMEM37 were
two most outstanding mRNAs, which might be used as
the independent DFS prognostic genes. However, a fur-
ther clinical investigation based on a large scale of sample
size is still needed to confirm the thesis speculation. References 1. O’Brien CA, Pollett A, Gallinger S, Dick JE. A human colon cancer cell
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Acquisition of data and drafted the manuscript. YZ carried out the Analysis
and interpretation of data. WY participated in the design of the study and
performed the statistical analysis. CL conceived of the study, and participated
in its design and coordination and helped to draft the manuscript. All authors
read and approved the final manuscript. Funding Funding
None. Ethics approval and consent to participate Ethics approval and consent to participate
This study was approved by Ethics Committee of China-Japan Union Hospital
of Jilin University and The First Hospital of Jilin University. pp
p
p
This study was approved by Ethics Committee of China-Japan Union Hospital
of Jilin University and The First Hospital of Jilin University. Availability of data and materials y
Not applicable. This study was only the primary research, and further study has
been in progress. Consent for publication
Not applicable Ethics approval and consent to participate
This study was approved by Ethics Committee of China-Japan Union Hospital
of Jilin University and The First Hospital of Jilin University. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in pub-
lished maps and institutional affiliations. Springer Nature remains neutral with regard to jurisdictional claims in pub-
lished maps and institutional affiliations. Received: 8 January 2018 Accepted: 29 March 2018 Author details
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Biological properties of almond proteins produced by aqueous and enzyme-assisted aqueous extraction processes from almond cake
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Scientific reports
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Biological properties of almond
proteins produced by aqueous
and enzyme‑assisted aqueous
extraction processes from almond
cake Thaiza S. P. de Souza1,2, Fernanda F. G. Dias1, Joana Paula S. Oliveira2,
Juliana M. L. N. de Moura Bell1,3 & Maria Gabriela B. Koblitz2* The almond cake is a protein-rich residue generated by the mechanical expression of the almond
oil. The effects of the aqueous (AEP) and enzyme-assisted aqueous extraction processes (EAEP) on
the biological properties of the almond cake protein were evaluated. Total phenolic content (TPC),
antioxidant capacity, inhibitory effects against crucial enzymes related to metabolic syndrome,
antimicrobial potential, and in vitro protein digestibility profile were assessed. EAEP provided the
best results for antioxidant capacity by both ORAC (397.2 µmol TE per g) and ABTS (650.5 µmol TE per
g) methods and also showed a high (~ 98%) potential for α-glucosidase inhibition. The AEP resulted
in protein extracts with the highest lipase inhibition (~ 70%) in a dose-dependent way. Enzymatic
kinetic analyses revealed that EAEP generated uncompetitive inhibitors against α-glucosidase, while
EAEP, AEP, and HEX-AEP (used as control) generated the same kind of inhibitors against lipase. No
protein extract was effective against any of the bacteria strains tested at antimicrobial assays. An in
silico theoretical hydrolysis of amandin subunits corroborated with the results found for antioxidant
capacity, enzyme inhibitory experiments, and antimicrobial activity. Digestibility results indicated
that the digestive proteases used were efficient in hydrolyzing almond proteins, regardless of the
extraction applied and that HEX-AEP presented the highest digestibility (85%). In summary, EAEP
and AEP skim proteins have the potential to be used as a nutraceutical ingredient. The biological
properties observed in these extracts could help mitigate the development of metabolic syndrome
where EAEP and AEP skim proteins could be potentially used as a prophylactic therapy for diabetes
and obesity, respectively. The consumption of almonds (Prunus dulcis, syn. Prunus amygdalus) has been associated with various health
benefits. Its antioxidant activity is usually attributed to the presence of α-tocopherols and polyphenols, with
the latter being associated with reduced risk of metabolic syndrome—through the regulation of postprandial
hyperglycemia and reducing the occurrence of diabetes mellitus type II—and potential antimicrobial effect1. Almond polyphenols are mainly found at the lipid interface and contribute to improving whole almonds shelf-
life due to their antioxidant and antimicrobial activities2. In addition, almonds are considered a good source of
protein, although methionine, lysine, and threonine are essential limiting amino acids. www.nature.com/scientificreports www.nature.com/scientificreports www.nature.com/scientificreports Biological properties of almond
proteins produced by aqueous
and enzyme‑assisted aqueous
extraction processes from almond
cake Almond’s major storage
protein is called amandin and represents about 70% of the total soluble proteins in the seed. Amandin is formed
by two subunits: prunin-1 and prunin-2, which are composed of basic (20–22 kDa) and acidic (42–46 kDa)
polypeptides3. 1Department of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis,
CA 95616, USA. 2Department of Food Science, Food and Nutrition Graduate Program, Federal University of
the State of Rio de Janeiro, 296, Pasteur Avenue, Urca, Rio de Janeiro, RJ 29622290‑240, Brazil. 3Biological and
Agricultural Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA. *email:
maria.koblitz@unirio.br | https://doi.org/10.1038/s41598-020-67682-3 Scientific Reports | (2020) 10:10873 www.nature.com/scientificreports/ Because almonds are a good source of lipids and proteins, prior removal of oil is needed to produce defatted
protein fractions. The mechanical expression of almond oil generates a protein-rich cake which is commonly used
as animal feed. While the composition of the cake is intrinsically related to the pressing conditions, which in turn
dictates the extraction efficiency, oil and protein contents of 16 and 37% have been observed for the almond cake,
respectively4. The residual oil in the protein-rich cake is commonly extracted by the use of hexane, a practice that
has raised environmental, safety (flammability), and health (neurotoxic effects) concerns5. These concerns, along
with increasingly restrictive regulations, have prompted the search for more environmentally friendly extraction
approaches6. Aqueous (AEP) and enzyme-assisted aqueous extraction processes (EAEP) are environmentally
friendly strategies that can replace the use of hexane and enable the simultaneous extraction of oil, protein, and
carbohydrate from many oil-bearing materials7. In addition, the EAEP offers the possibility of generating frac-
tions with improved functionality and biological properties8. Research has shown that protein hydrolysis may
generate bioactive peptide, improving the functional and biological properties of the original proteins9. Bioactive
peptides have been associated with various biological properties such as antioxidant, antihypertensive, antimi-
crobial, antithrombotic, hypocholesterolemic, and immunomodulatory functions10. Valorization of the almond
cake, as many other food byproducts, could be achieved by the tailored extraction of its major constituents (oil,
proteins, and bioactive compounds) for subsequent use in food, feed, fuel, and nutraceutical applications. These
compounds may be used in the formulation of functional foods or to improve the nutritional characteristics of
other food products while contributing to the reduction of food waste11. Materials and methods Materials. Cold pressed almond cake was supplied by Blue Diamond (Sacramento, CA, USA). For EAEP,
an endoprotease (FoodPro Alkaline Protease from Bacillus licheniformis; Danisco—NY, USA) was used. Hex-
ane, Folin-Ciocalteu reagent, gallic acid, 2,20–Azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS),
potassium persulfate, Trolox, fluorescein, 2,2′-Azobis (2 methylptopionamidine) dihydrochloride (AAPH),
α-glucosidase, p-nitrophenyl-α-D-glucopyranoside (p-NPG), lipase from porcine pancreas type II (EC 3.1.3),
4-nitrophenyl laurate (p-NP-Laurate) were purchased from Sigma-Aldrich (St. Louis, USA). The pathogenic
strains tested were supplied by Fiocruz (Rio de Janeiro, Brazil). Aqueous (AEP) and enzyme‑assisted aqueous extraction processes (EAEP). Optimum extrac-
tion conditions identified by Souza et al.4 were scaled up for the AEP (aqueous extraction process), EAEP
(enzyme-assisted aqueous extraction process), and HEX-AEP (solvent aqueous extraction process). Briefly, the
almond cake (oil 16.25 g.100 g−1, protein 37.20 g.100 g−1, and moisture 9.04 g.100 g−1) was dispersed in dis-
tilled water in a ratio of 1:12.8 (w/v) into a 10-L jacketed glass reactor (Chemglass, NJ, USA). For HEX-AEP,
the almond cake was previously defatted with hexane in a Soxhlet device for 6 h at 68 °C. Process conditions
were: 50 °C, pH 9.0, 120 rpm, reaction time—2 h (AEP and HEX-AEP), or 1 h and addition of alkaline pro-
tease 0.85 g.100 g−1 (EAEP). The slurry was centrifuged at 3,000 × g for 30 min at 25 °C and the supernatant
was allowed to cool down overnight at 4 °C to separate skim from cream fraction when the latter was formed. Approximately 16 kg of each skim fraction was freeze-dried (Lyophilizer—Virtis, CA, EUA) generating about
650 g of freeze-dried sample, as each extraction was done in duplicate. Total phenolic content (TPC). Samples of 1 g of the freeze-dried skim proteins were mixed with 10 mL
of distilled water, ethanol (100%), or methanol (100%), stirred for 1 h and centrifuged (5,000 × g/ 5 min)11. TPC
was quantified by the Folin-Ciocalteu reagent method as modified by Singleton et al.13. Readings were per-
formed in a microplate reader (FlexStation 3; Molecular Devices, CA, USA) and the absorbance was recorded
at 750 nm. TPC was calculated from the equation of a standard curve of gallic acid ranging from 5 to 130 µg. mL−1 (R2 = 0.9982, y = 0.0102x—0.0215). TPC was expressed as mg of gallic acid equivalents (GAE) per 100 g of
dry sample. Antioxidant capacity. ABTS assay. ABTS assay was based on Ngoh and Gan10 with slight modifications. Biological properties of almond
proteins produced by aqueous
and enzyme‑assisted aqueous
extraction processes from almond
cake The search for bioactive compounds
(i.e., bioactive peptides) in agricultural and industrial byproducts has been increasing, as they bear substances
with properties of interest to the food and pharmaceutical industries12.hf The overall goal of this study was to evaluate the effects of the aqueous (AEP) and enzyme-assisted aqueous
extraction processes (EAEP) on the biological properties of the skim fraction (protein-rich fraction) produced
from the almond cake. The specific objectives of this study were to evaluate the in vitro protein digestibility, the
total phenolic content, and the bioactive properties (antioxidant capacity, inhibitory effect against α-glucosidase,
and pancreatic lipase, and antimicrobial activity) of the skim fractions generated from the AEP and EAEP of
almond cake. These properties were compared with the skim fraction produced by the AEP of the hexane-defatted
almond cake (used as a control). Therefore, this work aimed to evaluate the effects of two environmentally
friendly extraction processes (AEP and EAEP) to generate proteins with improved biological functions from an
underutilized food byproduct, ultimately leading to potential health benefits. www.nature.com/scientificreports/ with 80 µL of fluorescein (78 nM) followed by 40 µL of APPH (221 mM). The fluorescence was measured every
minute for 90 min (excitation—485 nm; emission—535 nm). A calibration curve using Trolox solutions (10–
120 µM) (R2 = 0.9891, y = 62.444x + 734.12) was used and the antiradical activity was expressed as µMol of Trolox
equivalent (TE) per g of sample using Eq. 1. with 80 µL of fluorescein (78 nM) followed by 40 µL of APPH (221 mM). The fluorescence was measured every
minute for 90 min (excitation—485 nm; emission—535 nm). A calibration curve using Trolox solutions (10–
120 µM) (R2 = 0.9891, y = 62.444x + 734.12) was used and the antiradical activity was expressed as µMol of Trolox
equivalent (TE) per g of sample using Eq. 1. (1)
ORAC
µM TE g−1
=
(AUCs −AUCb) −b
a
C
, (1) where AUCs and AUCb are the areas under the curves of the sample and blank, respectively; a is the intercept
and b is the slope from the standard curve, and C is the sample concentration tested in the experiment. Enzymatic inhibition. α‑Glucosidase inhibition assay. The α-glucosidase inhibitory activity was evalu-
ated according to Ibrahim et al.15, with slight modifications. Samples diluted in water (50 μL) at final concentra-
tions of 0.5 to 40 mg mL−1 or ultrapure water (control) were incubated with 25 μL of 0.5 U.mL−1 α-glucosidase
solution in PBS (100 mM, pH 6.8), at 37 °C, for 1 h. After pre-incubation, 25 μL of p-NPG substrate solution
(5 mM) in PBS (100 mM, pH 6.8) was added, and the mixture was incubated at 37 °C, for 30 min. One hundred
microliters of glycine–NaOH buffer (pH 10.0) were added to stop the reaction. The absorbance was measured at
405 nm in a microplate reader. The inhibitory activity was expressed as a percentage of a control sample (without
the inhibitors). The α-glucosidase inhibitory activity was calculated by using Eq. 2. (2)
α −glucosidase inhibitory activity (%) =
1 −As
Ac
× 100 , (2) where As and Ac are absorbances of sample and control, respectively. Pancreatic lipase inhibition assay. The pancreatic lipase inhibitory activity was evaluated based on the method
described by McDougall et al.16, adapted to a 96-well microplate. www.nature.com/scientificreports/ Samples (15 μL) at final concentrations of 5 to
10 mg mL−1 or ultrapure water (control) were incubated with 60 μL of pancreatic lipase (10 mg mL−1) solution in
Tris–HCl buffer (100 Mm, pH 8.2), at 37 °C, for 30 min. After pre-incubation, 135 μL of p-NP-laurate (2.5 mM,
in 5 mM sodium acetate buffer, pH 5.0, with 1% Triton X-100) was added to start the reaction and was incubated
at 37 °C, for 2 h. The absorbance was measured at 405 nm using a microplate reader. The inhibitory activity was
expressed as a percentage of a control sample (without the inhibitors). The pancreatic lipase inhibitory activity
was calculated by using Eq. 3. (3)
pancreatic lipase inhibitory activity (% ) =
1 −As
Ac
× 100, (3) where As and Ac are absorbances of sample and control, respectively. where As and Ac are absorbances of sample and control, respectively. Materials and methods Samples (10 µL), at concentrations ranging from 0.5 to 5 mg mL−1 (in distilled water) were mixed with 190 µL
of diluted ABTS reagent. Absorbance was recorded at 720 nm, in a microplate reader, at 37 °C, in triplicate. Antioxidant activity was calculated from the equation of a standard curve of Trolox ranging from 50 to 750 µM
(R2 = 0.979, y = -0.0004x—0.0117). The antiradical activity was expressed as µMol of Trolox equivalent per g of
sample. ORAC assay. The ORAC method was performed according to Zulueta et al.14. Samples (80 µL) at concentra-
tions ranging from 0.025 to 0.200 mg mL−1 (in distilled water), PBS (blank) or Trolox (standard) were mixed Scientific Reports | (2020) 10:10873 | https://doi.org/10.1038/s41598-020-67682-3 www.nature.com/scientificreports/ www.nature.com/scientificreports/ www.nature.com/scientificreports/ stains, in the range of 0.5 to 70 mg mL−1 (final concentration in well) were added in each well. The microplates
were incubated at 37 °C, for 24 h. Bacterial growth was estimated by absorbance readings at 660 nm. Table 1. Composition of the simulated fluids. Simulated Saliva Fluid (SSF)
Final concentration (mg mL−1)
Final pH
Mucin
1.0
7.0
NaCl
0.117
KCl
0.149
NaHCO3
2.1
Simulated Gastric Fluid (SGF)
Final concentration (mg mL−1)
Final pH
Pepsin
0.75 (2000 U/mL)
1.8–2.0
Gastric mucin
1.5
NaCl
8.78
Simulated Intestinal Fluid (SIF)
Final concentration (mg mL−1)
Final pH
Pancreatin
8.0 (800 U/mL)
7.0
Bile extract
10.0
NaHCO3
16.8 Table 1. Composition of the simulated fluids. Simulated Saliva Fluid (SSF)
Final concentration (mg mL−1)
Final pH
Mucin
1.0
7.0
NaCl
0.117
KCl
0.149
NaHCO3
2.1
Simulated Gastric Fluid (SGF)
Final concentration (mg mL−1)
Final pH
Pepsin
0.75 (2000 U/mL)
1.8–2.0
Gastric mucin
1.5
NaCl
8.78
Simulated Intestinal Fluid (SIF)
Final concentration (mg mL−1)
Final pH
Pancreatin
8.0 (800 U/mL)
7.0
Bile extract
10.0
NaHCO3
16.8 Table 1. Composition of the simulated fluids. Table 1. Composition of the simulated fluids. tains, in the range of 0.5 to 70 mg mL−1 (final concentration in well) were added in each well. The microplates
were incubated at 37 °C, for 24 h. Bacterial growth was estimated by absorbance readings at 660 nm. Digestibility. In vitro protein digestibility. Protein digestibility was measured as described by Roman
et al.21 and Bornhorst and Singh22. The composition of the digestive solutions is presented in Table 1. Five grams
of liquid skim fractions were mixed with 3.33 mL of SSF (Simulated Saliva Fluid) and vortexed. Subsequently,
6.66 mL of SGF (Simulated Gastric Fluid) was added. Afterward, the pH was adjusted to 3.0 and the samples
were placed into a water-bath (37 °C, 140 rpm, 2 h). Then, 10 mL of SIF (Simulated Intestinal Fluid) was added,
and the pH was adjusted to 7.0. The samples were incubated into a water-bath at 37 °C, 140 rpm, for 2 h. To stop
the digestion, samples were heated in a water bath at 85 °C for 3 min. TCA (12 g.100 g−1) was added in a 1:1 (v/v)
proportion and the samples were centrifuged at 4,000 rpm for 30 min at 4 °C. www.nature.com/scientificreports/ Total nitrogen (NT) and nonpro-
tein nitrogen (NPN)—soluble fraction after TCA (12 g.100 g−1) precipitation—were measured in the samples, by
the Dumas method using a conversion factor of 5.18 (Vario MAX cube, HE, DE) before and after the digestion. In vitro protein digestibility was calculated by using Eq. 423. (4)
D(%) = NPNafter −NPNbefore −NPNenzymes(blank)
NTbefore −NPNbefore
x100 (4) where NPNafter = protein after digestion, NPNbefore = protein before digestion, NPNenzyme = enzyme blank and
NTbefore = total protein before digestion. where NPNafter = protein after digestion, NPNbefore = protein before digestion, NPNenzyme = enzyme blank and
NTbefore = total protein before digestion. In vitro digestibility evaluation by SDS‑page. SDS-PAGE was used to evaluate different stages during the diges-
tion of each skim. The protein profile was assessed as described by Laemmli24 with few modifications. Thirty
micrograms of protein were loaded onto the precast 12% acrylamide Criterion TGX Precast gel. A low range
SDS-PAGE standard (14.4–97.4 kDa) was used as a molecular mass marker. The gel was imaged using a Gel Doc
EZ Imager system and Image Lab software (Bio-Rad Laboratories, CA, USA). Statistical analyses. The experiments were performed at least in triplicate, and the results were expressed
as mean ± standard deviation (SD) of the replicates. Analyses of variance (ANOVA) were performed, followed
by the Tukey test using Graph Pad Prism 5.0 (version 5.04, GraphPad Software, CA, USA). Associations between
antioxidant capacity and phenolic compounds were assessed by Pearson correlation. Significant differences were
established at p < 0.05. where As and Ac are absorbances of sample and control, respectively. Kinetics of enzyme inhibition. To identify the type of inhibition exerted by the protein extracts on α-glucosidase
and pancreatic lipase, an enzyme inhibition kinetic experiment was performed according to Ibrahim et al.15. For the α-glucosidase and pancreatic lipase inhibition assays, a range of concentrations from 0.15 to 5.0 mM
of p-NPG and 0.05 to 2.5 mM of p-NP-Laurate was used. Lineweaver–Burk plots were used to determine the
kinetic constants, Km (Michaelis constant) and Vmax (maximum velocity). In silico theoretical hydrolysis. In silico digestion of prunin-1 and prunin-2 sequences by the subtilisin enzyme
(EC 3.4.21.62) was conducted using the enzymatic action tool incorporated into the BIOPEP platform17. Prunin-1
and prunin-2 sequences were taken from the UniProt platform (accession number Q43607 and E3SH29, respec-
tively). The antioxidant peptides were evaluated by the BIOPEP biological activity database limiting the activities
evaluated to antioxidants. For α-glucosidase and pancreatic lipase inhibitory peptide profiles, the criteria sug-
gested by Ibrahim et al.18 and Ngoh and Gan10 was used. Antimicrobial assay. For antimicrobial assays, the gram-positive bacterial strains Staphylococcus aureus (NCQS
00,402), Bacillus cereus (NCQS 00,445) and Listeria monocytogenes (NCQS 00,673) and the gram-negative bac-
teria strains Escherichia coli (NCQS 00,595) and Salmonella enterica subsp. enterica (NCQS 00,236). The bac-
terial strains were consecutively sub-cultured with 24 h intervals. After the activation, were made a bacterial
suspension, which was adjusted to 0.5 McFarland scale. Agar disk diffusion method. The antimicrobial effects were firstly determined by the agar disk diffusion method
according to Balouiri et al.19 and Kim et al.20, with modifications. Filter paper discs were placed on the tryptic
soy agar surface. Ten μL of the diluted sample in water (20 mg mL−1), the standard (amoxicillin, 2 mg mL−1)
or the blank (saline solution) were added on top of discs. Petri dishes were incubated for 24 h and observed. A
clear zone (halo) characterizes a positive result and no halo formed means negative result for bacterial growth
inhibition. Broth dilution method. The broth microdilution test according to Balouiri et al.19 and Kim et al.20 was per-
formed with modifications. Serial two-fold micro dilutions were prepared in a 96-well microplate. Fifty μL of the
sample (diluted in water) or the standard (amoxicillin) and the same volume of overnight bacterial suspension Scientific Reports | (2020) 10:10873 | https://doi.org/10.1038/s41598-020-67682-3 Results and discussion Different capital letters indicate
significant difference (p < 0.05) among the solvents (water, ethanol, and methanol) for the same skim and
different lowercase letters indicate significant difference (p < 0.05) between the different skims (AEP, EAEP,
and HEX-AEP) within the same solvent; (b) Antioxidant capacity evaluated by the ORAC and by the ABTS
methods. Different capital letters indicate a significant difference (p < 0.05) between the antioxidant activity
analyses (ORAC and ABTS) for the same skim and different lowercase letters indicate a significant difference
(p < 0.05) between the different skims for the same antioxidant activity evaluation method. Data represent the
mean ± one standard deviation of triplicates. the higher the extractability (Polarity Index: water = 9.0; methanol = 6.6 and ethanol = 5.2)28. A similar trend
was also found by Gomaa29, where higher TPC yields in bitter almonds and sweet apricots were achieved when
using water as a solvent, compared to methanolic and ethanolic extracts. In a previous review regarding almond
polyphenols, Bolling et al.26 showed that the most abundant polyphenols were proanthocyanidins (epicatechin
and catechin), hydrolyzable tannins (gallotannins, ellagitannins, and phlorotannins), and flavonoids (anthocyani-
dins, flavan-3-ols, flavonols, flavanones, and biflavone). Proanthocyanidins have also been identified as primary
phenolic compounds in whole almonds by other authors30. Zam et al.31 evaluated TPC at pomegranate’s peel and
observed that water archived the highest extraction yield of polyphenols in general and of proanthocyanins in
particular. The high extractability when using water as solvent can be related to the weakening of the hydrogen
bonds in aqueous solutions32. This observation may explain the higher solubility of the phenolic compounds
from the almond cake skim fraction in water than in the other solvents.l In addition to the solvent used, the use of enzyme or not during the extraction also influenced the total recov-
ery of phenolic compounds from the skims. The EAEP skim showed the highest yields of TPC compared with
the AEP, which is likely due to the effect of the protease action during the extraction. Phenolic compounds can
bind to proteins and carbohydrates, therefore hydrolysis of these complexes by proteases might help the release
of entrapped phenolics33. Pinelo et al.33 studied the release of phenolic compounds from apple skin and observed
that proteases favored their release. Results and discussion In the present study, the phenolic compounds that were inaccessible to the
AEP and HEX-AEP skims were possibly released after the addition of the protease in the EAEP, enabling their
solubilization into the solvent. Among the sample, HEX-AEP presented the lowest phenolic content in water. This might be related to the previous fat removal of HEX-AEP, where the sample was exposed to a mild heat
treatment at ~ 68 °C and extraction temperature above 65 °C may lead to phenolics degradation34. Antioxidant activity. The antioxidant capacity was assessed in the extracted proteins using the ABTS and
ORAC assays (Fig. 1b). EAEP skim showed the highest antioxidant capacity for both ORAC (397.2 µmol TE
per g) and ABTS (650.5 µmol TE per g) methods. HEX-AEP (163.5 µmol TE per g) showed higher antioxidant
capacity followed by AEP (108.7 µmol TE per g) by the ORAC method, while HEX-AEP (226.7 µmol TE per g)
and AEP (221.7 µmol TE per g) showed no significant difference by the ABTS method. Although both methods
followed the same trend and presented an extremely high (R2 = 0.98) correlation coefficient by Pearson’s evalu-
ation, in general, the values found by the ABTS assay were higher than by the ORAC method. This variation is
probably related to the differences in the antioxidant capacities measured by the two methods. ABTS or TEAC
(Trolox equivalent antioxidant capacity) is a method based on the measurement of the electron transfer capacity
of the antioxidant evaluated whereas ORAC (oxygen radical antioxidant capacity) is an assay that is based on the
quantification of the hydrogen atom transfer capacity of the antioxidant evaluated14. Thus, the same antioxidant
mixture may have a high capacity to transfer electrons and a low capacity to transfer hydrogen atoms or vice
versa, resulting in significantly different values for the two methods tested. EAEP showed 3.6 and 2.4 times more
antioxidant capacity than AEP and HEX-AEP skins respectively when the ORAC method was applied, whereas
this feature was 2.9 times higher than AEP and HEX-AEP when the ABTS assay is considered. g
y
Higher antioxidant capacity of EAEP skim can be in part explained by the highest TPC in this sample
(Fig. 1a), as proanthocyanidins, already identified in whole almonds, are recognized for increasing antioxidant
capacity26,30 and, according to Pearson’s correlation coefficient, ABTS (R2 = 0.94) and ORAC (R2 = 0.87) assays
strongly correlated with the TPC for each sample. Results and discussion Total phenolic content (TPC). The effects of different extraction conditions on the content of phenolic
compounds in the skims are shown in Fig. 1a. It can be observed that the EAEP generated a skim fraction with
the highest TPC, regardless of the solvent used to extract the phenolics. Among the solvents evaluated, higher
phenolic extraction was achieved when using water as a solvent. TPC in the skims ranged from 7.7 to 342 mg
GAE/100 g dry basis, depending on the solvent used and the type of extraction used. Using water as a solvent,
TPC of 342; 219.7; and 161.4 mg GAE per 100 g dry sample were observed for the EAEP, AEP, and HEX-AEP
skim fractions, respectively. In the present study, the cold pressed cake used was produced from whole natu-
ral almonds. When comparing with the literature, our results are in agreement with the values obtained by Mil-
bury et al.25, who observed concentrations from 126.8 to 240.8 mg GAE per 100 g, depending on the almond
variety; and with Bolling26, that reported 190 mg GAE per 100 g, both studies on the whole almond.hff The solvent polarity plays an important role in the recovery of polyphenols from different matrices, as it affects
the solubility of the phenolic compounds27 and, according to Abarca-Vargas et al.28, water, ethanol, methanol, and
their mixtures are the most frequently solvents used for TPC extraction. In this study, TPC yield related to the
solvent as follows: water > methanol > ethanol. The results suggested that the higher the polarity of the solvent, https://doi.org/10.1038/s41598-020-67682-3 Scientific Reports | (2020) 10:10873 | www.nature.com/scientificreports/ Figure 1. (a) Total phenolic content extracted by water, ethanol, and methanol. Different capital letters indicate
significant difference (p < 0.05) among the solvents (water, ethanol, and methanol) for the same skim and
different lowercase letters indicate significant difference (p < 0.05) between the different skims (AEP, EAEP,
and HEX-AEP) within the same solvent; (b) Antioxidant capacity evaluated by the ORAC and by the ABTS
methods. Different capital letters indicate a significant difference (p < 0.05) between the antioxidant activity
analyses (ORAC and ABTS) for the same skim and different lowercase letters indicate a significant difference
(p < 0.05) between the different skims for the same antioxidant activity evaluation method. Data represent the
mean ± one standard deviation of triplicates. Figure 1. (a) Total phenolic content extracted by water, ethanol, and methanol. www.nature.com/scientificreports/ www.nature.com/scientificreports/ Figure 2. (a) α-glucosidase inhibitory activity of EAEP skim. Different letters indicate a significant difference
(p < 0.05) among the concentrations evaluated. (b) Lipase inhibitory activity of AEP, EAEP, and HEX-AEP
skims. Different capital letters indicate a significant difference (p < 0.05) among the concentrations evaluated (5,
10 and 20 mg mL−1) for the same skim and different lowercase letters indicate a significant difference (p < 0.05)
among AEP, EAEP, and HEX-AEP skims for the same concentration. Data represent the mean ± one standard
deviation of triplicates. Figure 2. (a) α-glucosidase inhibitory activity of EAEP skim. Different letters indicate a significant difference
(p < 0.05) among the concentrations evaluated. (b) Lipase inhibitory activity of AEP, EAEP, and HEX-AEP
skims. Different capital letters indicate a significant difference (p < 0.05) among the concentrations evaluated (5,
10 and 20 mg mL−1) for the same skim and different lowercase letters indicate a significant difference (p < 0.05)
among AEP, EAEP, and HEX-AEP skims for the same concentration. Data represent the mean ± one standard
deviation of triplicates. The protease used for EAEP processing might have hydrolyzed the proteins present in the almond cake and
later in the skim fraction, generating peptides with antioxidant activities. In fact, the theoretical hydrolysis
(Supplementary Table S1) of the most important storage protein of almonds (amandin) revealed the formation
of 4 different antioxidant peptides (HL, IY, VY, PHW). Some studies have identified antioxidant peptides from
several plant-based proteins, such as peanuts8 and okara35. These studies correlated the antioxidant capacity with
the degree of hydrolysis (DH %), whereas the higher DH %, the higher the antioxidant capacity. The DH % of
the skims were evaluated in a previous study from our group and 23, 1.8, and 1.3% were achieved for the EAEP,
AEP, and HEX-AEP skim fractions. The higher DH % of the EAEP skim may have contributed to the higher
antioxidant capacity observed, which is in agreement with the studies above cited. AEP and HEX-AEP skims
showed no significant differences for DH %, nor for TCP, when methanol and ethanol were applied, or for the
antioxidant capacity measured by the ABTS assay.if To the best of our knowledge, this is the first study to investigate the effects of extraction conditions on the
antioxidant properties of almond cake protein extracts. Results and discussion Thus, another possible explanation for the higher activity in
EAEP skim may be the formation of potential antioxidant peptides during the enzymatic extraction (Fig. 4). Scientific Reports | (2020) 10:10873 | https://doi.org/10.1038/s41598-020-67682-3 www.nature.com/scientificreports/ Interestingly, our results showed the use of an enzyme
in the EAEP can improve the antioxidant capacity of the extracted protein, as revealed by the ABTS and ORAC
assay results. α‑glucosidase and pancreatic lipase inhibition. A therapeutic approach to prevent diabetes and obe-
sity is to inhibit digestive enzymes such as α-glucosidase and pancreatic lipase. Inhibitors targeting these enzymes
prevent the uptake of glucose from complex dietary carbohydrates and free fatty acids from triacylglycerols to
be absorbed into the body9,15. Preliminary tests evaluated potential inhibitory effects of the extracted proteins
against α-glucosidase (Fig. 2a) or pancreatic lipase (Fig. 2b) as well as the lowest concentration that exerted the
highest inhibition. It seems evident that, among the samples tested, only the EAEP skim presented α-glucosidase
inhibitory activity (Fig. 2a). In addition to the concentrations evaluated in Fig. 2a, higher concentrations of AEP
and HEX-AEP skims (10, 20, and 40 mg mL−1) were also evaluated but showed no activity. The EAEP skim, on
the other hand, showed high inhibition, even in the lowest concentration tested: 0.5 mg mL−1 inhibited 84.6%
of the α-glucosidase activity while 2.0 mg mL−1 inhibited 97.8% of the α-glucosidase activity, with no significant
improvement for higher concentrations (5.0 mg mL−1—98.9%). Unlike α-glucosidase, the pancreatic lipase was
inhibited by all the samples tested (Fig. 2b). AEP skim showed the highest dose-dependent inhibitory activity
followed by HEX-AEP skim, which showed little over half of AEP’s inhibitory activity. EAEP skims showed the
lowest inhibition of the pancreatic lipase, which remained unchanged (p > 0.05) regardless of the concentration
tested. A kinetic study was performed to verify the type of inhibition taking place in the skim fraction, applying
the least concentration of each sample that provided the highest inhibition (Fig. 3). h g
g
The enzymes tested in this study—α-glucosidase and pancreatic lipase—are a part of the digestion of car-
bohydrates and triacylglycerols in the digestive tract35. Alpha-glucosidase is involved in the digestion of starch,
catalyzing the hydrolysis of oligo- and disaccharides to release free molecules of glucose9,15. Therefore inhibi-
tors of α-glucosidase aid to control postprandial hyperglycemia by modulating the digestion rate of complex
carbohydrates such as starch and may be employed in the prevention of diabetes and other associated diseases15. www.nature.com/scientificreports/ Figure 3. (a) Lineweaver–Burk plots of α-glucosidase inhibition for control (no inhibitor) and EAEP skim
(2 mg mL−1); (b) Lineweaver–Burk plots of lipase inhibition for control (no inhibitor) and AEP (20 mg mL−1);
(c) EAEP (5 mg mL−1) and (d) HEX-AEP (20 mg mL−1) skims. Figure 3. (a) Lineweaver–Burk plots of α-glucosidase inhibition for control (no inhibitor) and EAEP skim
(2 mg mL−1); (b) Lineweaver–Burk plots of lipase inhibition for control (no inhibitor) and AEP (20 mg mL−1);
(c) EAEP (5 mg mL−1) and (d) HEX-AEP (20 mg mL−1) skims. Ibrahim et al.18 identified the structural and physicochemical requirements to design an active α-glucosidase
inhibitory peptide. According to their findings, α-glucosidase inhibitory activity is related to short peptides,
with 3 to 6 amino acid residues, containing a hydroxyl or basic side-chain amino acid at the N-terminus and a
proline residue closer to the C-terminus with methionine or alanine occupying the final C-terminal position. The theoretical hydrolysis of amandin subunits (Supplementary Table S2) showed the formation of 13 different
peptides with at least one of the above characteristics. It is therefore possible that, after proteolysis, some bioac-
tive peptides were released from the almond cake proteins, leading to the high inhibitory activity of EAEP skim
against α-glucosidase. Awosika and Aluko9 reported that 20 mg mL−1 of yellow field pea peptides inhibited up
to 53.3% α-glucosidase activity and Oseguera-Toledo et al.37 evaluated peptide fractions from pinto Durango
beans and observed inhibitory activity of 76.4% against α-glucosidase. This study is, however, the first report of
such activity for almond protein hydrolysates from the almond cake. y
p
y
y
Pancreatic lipase is responsible for the digestion and absorption of dietary fat through the hydrolysis of the
triacylglycerols to glycerol and fatty acids9,36. The inhibition of pancreatic lipase prevents the breakdown of
dietary fat into fatty acids, therefore reducing their absorption in the gut, which may be a viable approach to the
control of hyperlipidemia and obesity36. Some in vitro studies reported plants with a high concentration of fat
or high content of tannins as pancreatic lipase inhibitors16,36. Proanthocyanidins, already reported in almonds30,
are among the primary active tannins and their activity was attributed to their ability to bind proteins, leading
to the complexation and precipitation of the enzymes38. The same authors, however, claim that the mechanism
of polyphenolic compounds on pancreatic lipase inhibition remains unclear. www.nature.com/scientificreports/ In this study, 2 mg mL−1 of EAEP skim inhibited ~ 98% of the α-glucosidase activity, while AEP and HEX-fh The enzymes tested in this study—α-glucosidase and pancreatic lipase—are a part of the digestion of car-
bohydrates and triacylglycerols in the digestive tract35. Alpha-glucosidase is involved in the digestion of starch,
catalyzing the hydrolysis of oligo- and disaccharides to release free molecules of glucose9,15. Therefore inhibi-
tors of α-glucosidase aid to control postprandial hyperglycemia by modulating the digestion rate of complex
carbohydrates such as starch and may be employed in the prevention of diabetes and other associated diseases15. In this study, 2 mg mL−1 of EAEP skim inhibited ~ 98% of the α-glucosidase activity, while AEP and HEX-
AEP skims did not present an inhibitory effect. These results may be explained by the generation of bioactive
peptides, through the alkaline protease activity in the enzymatic extraction (EAEP) compared with the aqueous
extraction process (AEP nor HEX-AEP) where no enzyme was used during the extraction. Bioactive peptides
are encrypted within the primary structure of proteins and may be released by proteolysis. These peptides may
act as inhibitors of metabolic enzymes and present potential use as therapeutic agents against specific diseases. y
y
p y
p
In this study, 2 mg mL−1 of EAEP skim inhibited ~ 98% of the α-glucosidase activity, while AEP and HEX-
AEP skims did not present an inhibitory effect. These results may be explained by the generation of bioactive
peptides, through the alkaline protease activity in the enzymatic extraction (EAEP) compared with the aqueous
extraction process (AEP nor HEX-AEP) where no enzyme was used during the extraction. Bioactive peptides
are encrypted within the primary structure of proteins and may be released by proteolysis. These peptides may
act as inhibitors of metabolic enzymes and present potential use as therapeutic agents against specific diseases. Scientific Reports | (2020) 10:10873 | https://doi.org/10.1038/s41598-020-67682-3 www.nature.com/scientificreports/ www.nature.com/scientificreports/ In the present study, all skim frac-
tions showed some degree of lipase inhibition: AEP skim exhibited the highest inhibitory percentage, followed
by HEX-AEP and EAEP skims. The TPC in this same samples did not follow this trend; on the contrary, EAEP
skim showed the highest TPC of all samples (Fig. 1a). g
p
(
g
)
Information about lipase inhibition by proteins or peptides is scarce in the literature, and there is even less
information on pancreatic lipase activity inhibition by food protein-derived peptides9. However, a few recent
studies reported peptides as pancreatic lipase inhibitors: Ngoh and Gan10 found bioactive peptides in pinto
beans that inhibited the lipase activity in a range between 23 to 87% and Stefanucc et al.39, who discovered novel
tripeptides as lipase inhibitors, observed inhibitions from 50 to 100 mg Orlistat (i.e., standard drug to treat
obesity) equivalent per g of sample, depending on the peptide sequences. Ngoh and Gan10 verified, through
docking analysis, that most of the amino acid residues of the peptides involved in pancreatic lipase inhibition
were hydrophobic amino acids such as proline (P), leucine (L), glycine (G), phenylalanine (F), alanine (A) and Scientific Reports | (2020) 10:10873 | https://doi.org/10.1038/s41598-020-67682-3 www.nature.com/scientificreports/ Fi
4
SDS PAGE (12% C it i
TGX P
t G l )
l
i
f th diff
t t
f i
it
di
ti Figure 4. SDS-PAGE (12% Criterion TGX Precast Gels) analysis of the different stages of in vitro digestion
of EAEP, AEP, and HEX-AEP. Samples derive from the same experiment and the gel was processed in parallel. The gel was imaged with a Gel Doc EZ (Bio-Rad, USA) using the Image Lab software. lane (1) Molecular mass
marker standards (14.4–97.4 kDa); lane (2) AEP total protein; lane (3) AEP plus SSF and SGF; lane (4) AEP
plus SSF, and SGF after 2 h reaction; lane (5) AEP plus SSF, SGF, and SIF after 2 h reaction; lane (6) EAEP total
protein; lane (7) EAEP plus SSF and SGF; lane (8) EAEP plus SSF, and SGF after 2 h reaction; lane (9) EAEP plus
SSF, SGF, and SIF after 2 h reaction; lane (10) HEX-AEP total protein; lane (11) HEX-AEP plus SSF and SGF;
lane (12) HEX-AEP plus SSF, and SGF after 2 h reaction; lane (13) HEX-AEP plus SSF, SGF, and SIF after 2 h
reaction; lane (14) MW marker standards (14.4–97.4 kDa). Figure 4. www.nature.com/scientificreports/ SDS-PAGE (12% Criterion TGX Precast Gels) analysis of the different stages of in vitro digestion
of EAEP, AEP, and HEX-AEP. Samples derive from the same experiment and the gel was processed in parallel. The gel was imaged with a Gel Doc EZ (Bio-Rad, USA) using the Image Lab software. lane (1) Molecular mass
marker standards (14.4–97.4 kDa); lane (2) AEP total protein; lane (3) AEP plus SSF and SGF; lane (4) AEP
plus SSF, and SGF after 2 h reaction; lane (5) AEP plus SSF, SGF, and SIF after 2 h reaction; lane (6) EAEP total
protein; lane (7) EAEP plus SSF and SGF; lane (8) EAEP plus SSF, and SGF after 2 h reaction; lane (9) EAEP plus
SSF, SGF, and SIF after 2 h reaction; lane (10) HEX-AEP total protein; lane (11) HEX-AEP plus SSF and SGF;
lane (12) HEX-AEP plus SSF, and SGF after 2 h reaction; lane (13) HEX-AEP plus SSF, SGF, and SIF after 2 h
reaction; lane (14) MW marker standards (14.4–97.4 kDa). methionine (M). The theoretical hydrolysis of amandin (Supplementary Table S3) showed the formation of 17
highly hydrophobic peptides, due to the presence of these amino acid residues. Awosika and Aluko9 evaluated
yellow field pea protein hydrolysates and observed that trypsin and alcalase generated peptides with higher lipase
inhibition capacity than chymotrypsin and pepsin. Alcalase is a subtilisin similar to the alkaline protease used in
the EAEP. Although the EAEP skim showed the highest TPC and peptide content, this sample was not the most
efficient for lipase inhibition. This inefficiency may have occurred due to the high degree of hydrolysis (DH = 23%)
of the EAEP skim, which possibly generated peptides with a different profile from those naturally present in
the AEP and HEX-AEP skims (Fig. 4). These results indicate that the AEP skim is a good candidate for use as
a pancreatic lipase inhibitor, while the EAEP skim could be used as a highly efficient α-glucosidase inhibitor. Kinetics of enzyme inhibition. Kinetics experiments were performed to reveal the mechanisms of action
of the different skim samples on α-glucosidase and pancreatic lipase inhibition, applying the least concentration
of each sample that provided the highest inhibition (Fig. 3): for α-glucosidase, 2 mg mL−1 of the EAEP skim
was applied; for lipase 20 mg mL−1 of the AEP or of HEX-AEP skims and 5 mg mL−1 of EAEP skim were tested. www.nature.com/scientificreports/ Lineweaver–Burk plots revealed that EAEP skim behaved as an uncompetitive inhibitor for both, α-glucosidase
and pancreatic lipase (Table 2). Likewise, AEP and HEX-AEP skims also behaved as uncompetitive inhibitors
of pancreatic lipase (Table 2). The results showed that the lines (control vs. inhibitors) intersected at both y-axis Scientific Reports | (2020) 10:10873 | https://doi.org/10.1038/s41598-020-67682-3 www.nature.com/scientificreports/ Table 2. Apparent Km (Michaelis constant) and Vmax (maximum velocity) and mode of inhibition of
α-glucosidase and pancreatic lipase. Different letters indicate a significant difference (p < 0.05) among the
different samples and control for Km or Vmax. Data represent the mean ± standard deviation of triplicates. α-glucosidase
Km
Vmax
Mode of inhibition
Control
8.67 ± 6.58a
2.81 ± 1.45a
–
EAEP skim (2 mg mL−1)
0.17 ± 0.02b
0.02 ± 0.004b
Uncompetitive
Lipase
Km
Vmax
Mode of inhibition
Control
0.24 ± 0.01a
0.68 ± 0.01a
–
AEP skim (20 mg mL−1)
0.17 ± 0.01b
0.62 ± 0.02b
Uncompetitive
EAEP skim (5 mg mL−1)
0.19 ± 0.02b
0.59 ± 0.02b
Uncompetitive
HEX-AEP skim (20 mg mL−1)
0.19 ± 0.01b
0.61 ± 0.02b
Uncompetitive Table 2. Apparent Km (Michaelis constant) and Vmax (maximum velocity) and mode of inhibition of
α-glucosidase and pancreatic lipase. Different letters indicate a significant difference (p < 0.05) among the
different samples and control for Km or Vmax. Data represent the mean ± standard deviation of triplicates. α-glucosidase
Km
Vmax
Mode of inhibition
Control
8.67 ± 6.58a
2.81 ± 1.45a
–
EAEP skim (2 mg mL−1)
0.17 ± 0.02b
0.02 ± 0.004b
Uncompetitive
Lipase
Km
Vmax
Mode of inhibition
Control
0.24 ± 0.01a
0.68 ± 0.01a
–
AEP skim (20 mg mL−1)
0.17 ± 0.01b
0.62 ± 0.02b
Uncompetitive
EAEP skim (5 mg mL−1)
0.19 ± 0.02b
0.59 ± 0.02b
Uncompetitive
HEX-AEP skim (20 mg mL−1)
0.19 ± 0.01b
0.61 ± 0.02b
Uncompetitive Table 2. Apparent Km (Michaelis constant) and Vmax (maximum velocity) and mode of inhibition of
α-glucosidase and pancreatic lipase. Different letters indicate a significant difference (p < 0.05) among the
different samples and control for Km or Vmax. Data represent the mean ± standard deviation of triplicates. Table 2. Apparent Km (Michaelis constant) and Vmax (maximum velocity) and mode of inhibition of
α-glucosidase and pancreatic lipase. Different letters indicate a significant difference (p < 0.05) among the
different samples and control for Km or Vmax. Data represent the mean ± standard deviation of triplicates. www.nature.com/scientificreports/ and x-axis, at different points, in the Lineweaver–Burk plots (Fig. 3). This indicates that, in the presence of the
inhibitor, both the Michaelis constant (Km) and the maximum velocity (Vmax) decreased when compared to
the control. These results were confirmed by calculating the apparent Km and Vmax (Table 2). Inhibition of pan-
creatic lipase by AEP and HEX-AEP, however, showed inhibition graphs that cross before reaching the y-axis. This kind of behavior was related by Park et al.40 to competitive inhibition, although without the corroboration
of Km or Vmax values. For uncompetitive inhibition, the inhibitor binds the enzyme–substrate complex in an allosteric site and has
no substrate-like structure. The uncompetitive inhibitor causes a structural distortion of the active and allosteric
sites of the complexed enzyme, which prevents the catalysis to occur and results in a decrease in Km and Vmax
values41. According to Leskovac42, uncompetitive inhibition works better in the presence of high concentra-
tions of substrate, a condition likely to occur in the digestive tract during digestion. EAEP skim inhibition of
α-glucosidase produced a Km over 50 times lower and a Vmax around 140 times lower than the control. These
results indicate that the peptides generated by the proteolysis of almond protein showed a strong ability to bind
to the α-glucosidase-substrate complex. Thereby, EAEP skim may be an excellent pool of peptides to delay the
breakdown of dietary carbohydrates and consequently reduce the rate of glucose release at the small intestine15. Pancreatic lipase inhibition at AEP showed Vmax approximately 10% lower than the control and Km up to 40%
lower than the control, showing a weak binding between inhibitors and enzyme–substrate complex.hi g
g
y
p
The uncompetitive inhibition of α-glucosidase by peptides was also observed by Ibrahim et al15, who identified
two active α-glucosidase inhibitory peptides—SVPA and SEPA. SVPA acted as an uncompetitive inhibitor and
SEPA was a non-competitive inhibitor against α-glucosidase. In contrast, Awosika and Aluko9 studied yellow
field pea protein-derived peptides and found a non-competitive inhibition of α-glucosidase. The uncompetitive
inhibition is considered as a rare type of inhibition that may occur in multimeric enzymes41. To the best of our
knowledge, the first study on inhibition of pancreatic lipase by food-derived bioactive peptides was published by
Ngoh and Gan10 and dealt with bean protein hydrolysates. Therefore, there is scant information relating peptides
and pancreatic lipase inhibition, especially on the enzyme kinetics. www.nature.com/scientificreports/ At this stage, all samples
showed similar profiles, with the higher molecular mass bands probably derived from the different proteins in
the pancreatin solution added. The results indicate that both pepsin and pancreatic proteases were efficient in
hydrolyzing almond cake proteins independent of the extraction method.h y
y
g
p
p
Simulated digestion includes an oral, a gastric and an intestinal phase. These methods involve the use of
digestive enzymes and their concentrations as well as the pH, digestion time, and salt concentrations to simulate
physiological conditions in vivo46. After each digestion phase, samples must be analyzed to quantify the amount
of the initial protein that was hydrolyzed by the digestive proteases added. There are several methods for chemi-
cally determining the hydrolysis of proteins such as pH–stat, o-phthaldialdehyde (OPA) and trichloroacetic acid
soluble nitrogen (SN-TCA) methods. The pH–stat method is based on the amount of protons released during
hydrolysis; the OPA method is based on the measurement of amino groups generated by the hydrolysis and the
SN-TCA method measures the amount of TCA-soluble nitrogen released by the hydrolysis47. The pH–stat and
OPA methods are considered quick and simple methods for quantifying the degree of hydrolysis (DH) of protein
hydrolysates and allow for real-time monitoring of the hydrolysis reaction as it proceeds. However, the accuracy
of DH values obtained by the pH–stat and OPA methods depends on the type of enzyme activity and on the
protein substrate, respectively. The pH–stat method may underestimate DH if the enzyme shows high exopepti-
dase activity. In the OPA method, unstable products are formed by reacting with cysteine and proline residues
and this method also requires a derivatization step47,48. The SN-TCA method does not determine the number of
peptide bonds cleaved, so this method does not determine the DH directly, it measures the TCA-soluble nitrogen
generated by the hydrolysis, which is supposed to consist only of amino acids and small peptides. The SN-TCA
method is simple and rapid to perform, however, the assumption that TCA-soluble nitrogen is composed only
by small peptides and amino acids may not be correct, since not all intact proteins are precipitated by TCA53. Considered a suitable method by several authors53,49−51, the SN-TCA method was applied in this study to compare
the effect of either EAEP or AEP on the digestibility of the protein (skim fraction) extracted. www.nature.com/scientificreports/ dilution method. Nevertheless, the samples did not exhibit antimicrobial activity against the five strains tested. The theoretical in silico hydrolysis and BIOPEP search did not reveal any antibacterial, antiviral or antifungal
peptides, corroborating the in vitro assays.f p p
g
y
Different extracts (water, methanol, and ethanol) of bitter almonds were tested against human pathogenic
bacteria by Gomaa29. The authors observed inhibition activity against only 4 of the 11 microorganisms tested. They attributed the significant inhibitory effect to the phenolic compounds in the extracts. The antimicrobial
activity of almond skin43, almond oil44, and cold press edible oil byproduct11 has already been tested. According
to the literature, a plant extract depends on which part of the plant was evaluated, the method and solvent used
for extraction and finally the concentration tested to be a potent antimicrobial extract11. In vitro protein digestibility. The profile of each skim protein fraction during oral, gastric, and intesti-
nal digestion was evaluated by SDS-PAGE (Fig. 4). SDS-PAGE showed similar initial protein profiles for AEP
and HEX-AEP skims, presenting proteins with a molecular mass between 21.5 and 45 kDa, although some
low molecular weight protein bands may be also observed (Fig. 4—Dig 01). On the other hand, for the EAEP
skim, a concentration of low molecular mass proteins and peptides at 14.4 kDa and below became evident. Dig 02 (Fig. 4) shows the profile for samples that received salivary solution (SSF) plus gastric solution (SGF),
immediately after addition, Dig 03 shows SSF plus SGF after 2 h. Overall, there was little difference in the same
sample, between Dig 02 and Dig 03, indicating fast digestion of the extracted almond cake proteins by pep-
sin. In a previous study regarding almond protein digestibility45, pepsin was able to hydrolyze the proteins in
5 min, indicating rapid hydrolysis capability. Although EAEP showed initially an already digested profile due
to the partial hydrolysis caused by the use of protease during the extraction, the addition of pepsin seemed to
reduce the peptide cluster at the bottom of the gel—below 14.4 kDa, indicating further digestion and formation
of lower mass peptides. Dig 04 (Fig. 4) presents the profile of the samples containing salivary solution (SSF),
gastric solution (SGF) and also the intestinal solution (SIF), after another 2 h reaction. www.nature.com/scientificreports/ f
g
y
p
Among the tested samples, the highest digestibility was found for the HEX-AEP (85%) skim, followed by the
AEP skim (73%) and the EAEP skim (64%). The high digestibility regardless of the extraction is consistent with
a previous True Protein Digestibility (% TPD) in vivo test from Ahrens et al.52, who found digestibility from
82 to 92% depending on the varieties of the whole almonds. Moreover, Sathe53 and Sze-Tao and Sathe45 also
reported high in vitro almond protein digestibility. The high digestibility of HEX-AEP skim may be explained
by the removal of the residual oil by hexane extraction (in a Soxhlet). During the hexane extraction, the almond
cake was subjected to mild temperatures (68–70 °C) which might have resulted in protein denaturation. In some
situations, some degree of protein denaturation might improve enzyme accessibility to the protein thus improving
the digestibility54. Conversely, the EAEP skim presented the lowest digestibility despite its higher initial DH. Typi-
cally, digestibility increases with protein hydrolysis55. However, the extensive hydrolysis achieved by the EAEP
(DH = 23%) entailed fewer attack sites available to the digestion enzymes (pepsin and pancreatin), which led to
an underestimation of this parameter55. Similar results were found by Betancur-Ancona et al.55, who reported
higher digestibility in the raw materials (Phaseolus lunatus) than for the hydrolyzates produced. www.nature.com/scientificreports/ Most of the studies regarding lipase kinetics
are related to phenolic compounds, such as the study from, Park et al.40 who identified a non-competitive or
competitive inhibition against lipase at flavonol-3-O-glycosides and flavonol aglycones in Polygonum aviculare
L., respectively. p
y
Overall, the EAEP skim presented a high inhibitory activity against α-glucosidase and AEP, EAEP, and HEX-
AEP skims showed varying degrees of inhibitory activity against lipase. Unlike the α-glucosidase inhibitory effect,
AEP skim showed higher inhibitory activity against pancreatic lipase compared with EAEP skim. However, it
must be taken into account that the concentration of the EAEP skim (5 mg mL−1) was 4 times lower than the
active concentration of the AEP skim (20 mg mL−1). The lower concentration needed by the EAEP skim can be
addressed to its chemical reaction order. EAEP skim presented a zero-order behavior, which means a constant
rate of inhibition, independent of the concentration tested. The zero-order kinetics occurs at the limit where the
enzyme is saturated with substrate and an increase in the initial substrate concentration will have no effect on
the rate of reaction, as no free enzyme is available42. The result indicates that the protein fraction extracted from
the almond cake by the EAEP has the potential to be used as a source of bioactive protein/peptides to control
hyperglycemia and obesity. EAEP skim can retard the release of glucose from complex dietary carbohydrates
and could thus be subsequently evaluated regarding potential hyperglycemia reductions. All skim samples may
partially suppress and delay the triacylglycerol digestion and consequently help to control hyperlipidemia and
obesity15,36. Antimicrobial activity. The antimicrobial potency of the extracts against five bacteria strains was evalu-
ated by agar disk-diffusion, which measures the formation of a halo, known as the zone of inhibition, and also
by broth microdilution, that indicates the minimum inhibitory concentration (MIC). The samples were tested
by agar disk-diffusion at a concentration of 20 mg mL−1. None of the skim fractions showed inhibition by this
method, as they did not cause the formation of inhibition zones (halos). Although the positive control (amoxicil-
lin) did. To eliminate the hypothesis that the concentration tested was too low to exert some antimicrobial activ-
ity, all samples were tested against the same bacterial strains at the concentration of 70 mg mL−1, by the broth https://doi.org/10.1038/s41598-020-67682-3 Scientific Reports | (2020) 10:10873 | www.nature.com/scientificreports/ www.nature.com/scientificreports/ skim presented a similar profile as the HEX-AEP skim regarding their antioxidant capacity, TPC and digestibility,
but provided the highest lipase inhibition potential, and therefore could be used in the prevention of obesity. Although further studies are required to characterize the active compounds and the mechanisms of action associ-
ated with the observed bioactivities, the present study demonstrated that the almond cake can be transformed
into value-added health-promoting products by the application of environmentally friendly extraction processes. skim presented a similar profile as the HEX-AEP skim regarding their antioxidant capacity, TPC and digestibility,
but provided the highest lipase inhibition potential, and therefore could be used in the prevention of obesity. Although further studies are required to characterize the active compounds and the mechanisms of action associ-
ated with the observed bioactivities, the present study demonstrated that the almond cake can be transformed
into value-added health-promoting products by the application of environmentally friendly extraction processes. Received: 16 January 2020; Accepted: 8 June 2020 References 1. Kamil, A. & Chen, C.-Y.O. Health benefits of almonds beyond cholesterol reduction. J. Agric. Food Chem. 60, 6694–6702 (2012). 2. Bolling, B. W., Dolnikowski, G., Blumberg, J. B. & Chen, C.-Y.O. Polyphenol content and antioxidant activity of California almonds
depend on cultivar and harvest year. Food Chem. 122, 819–825 (2010). 2. Bolling, B. W., Dolnikowski, G., Blumberg, J. B. & Chen, C.-Y.O. Polyphenol content and antioxidant activity of California alm
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3. Sathe, S. K. et al. Biochemical characterization of amandin, the major storage protein in almond (Prunus dulcis L.). J. Agric. Food
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7. Balvardi, M., Rezaei, K., Mendiola, J. A. & Ibáñez, E. Optimization of the aqueous enzymatic extraction of oil from Iranian wild
almond. J. Am. Oil Chem. Soc. 92, 985–992 (2015).l 8. Jamdar, S. N. et al. Influence of degree of hydrolysis on functional properties, antioxidant activity and ACE inhibitory activity o
peanut protein hydrolysate. Food Chem. 121, 178–184 (2010).i 8. Jamdar, S. N. et al. Influence of degree of hydrolysis on functi l
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peanut protein hydrolysate. Food Chem. 121, 178–184 (2010) p
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9. Awosika, T. O. & Aluko, R. E. Inhibition of the in vitro activities of α-amylase, α-glucosidase and pancreatic lipase by yellow field
pea (Pisum sativum L.) protein hydrolysates. Int. J. Food Sci. Technol. 54, 2021–2034 (2019).i 9. Awosika, T. O. & Aluko, R. E. Inhibition of the in vitro activiti y
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(2009). Acknowledgementsh Acknowledgements
The authors are thankful for the support from CAPES (Coordination for the Improvement of Higher Education
ersonnel Program) for supplying a fellowship and CAPPS (Center for Advanced Processing and Packaging g
The authors are thankful for the support from CAPES (Coordination for the Improvement of Higher Education
P
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u o t e suppo t
o
C
S (Coo d
at o
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p ove
e t o
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9, 17626 (2019).l 35. Sbroggio, M. F., Montilha, M. S., de Figueiredo, V. R. G., Georgetti, S. R. & Kurozawa, L. E. Influence of the degree of hydrolysis
and type of enzyme on antioxidant activity of okara protein hydrolysates. Food Sci. Technol. 36, 375–381 (2016). Scientific Reports | (2020) 10:10873 | https://doi.org/10.1038/s41598-020-67682-3 Author contributions T.S.P.S. and M.G.B.K. wrote the main manuscript text. J.P.S.O. ran the in silico experiments. T.S.P.S. and F.G.D. ran the in vitro experiments. J.M.N.L.M.B. and M.G.B.K. designed and supervised all experiments. All authors
reviewed the manuscript. Additional information Supplementary information is available for this paper at https://doi.org/10.1038/s41598-020-67682-3. Supplementary information is available for this paper at https://doi.org/10.1038 Supplementary information is available for this paper at https://doi.org/10.1038/s41598-020-67682-3. Correspondence and requests for materials should be addressed to M.G.B.K. Reprints and permissions information is available at www.nature.com/reprints. Reprints and permissions information is available at www.nature.com/reprints. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and
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The zwitterion (23′<i>E</i>)-(23<i>R</i>,25<i>S</i>)-23-[1-(oxidoiminio)ethyl]-5β-spirostan-3β-yl acetate
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Acta crystallographica. Section E
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organic compounds Acta Crystallographica Section E
Structure Reports
Online
ISSN 1600-5368 Acta Crystallographica Section E
Structure Reports
Online
ISSN 1600-5368 Table 1 Data collection: XSCANS (Siemens, 1994); cell refinement:
XSCANS; data reduction: XSCANS; program(s) used to solve
structure: SHELXTL (Sheldrick, 2008); program(s) used to refine
structure: SHELXTL; molecular graphics: SHELXTL; software used
to prepare material for publication: SHELXTL. Related literature For the synthesis of (23R)-23-acetylsarsasapogenin acetate
used as starting material, see: Meza-Reyes et al. (2005). For the
full spectroscopic characterization of the tautomers of the title
compound, see: Herna´ndez-Linares (2005). For tautomerism
between oximes and imine N-oxides, see: Ferna´ndez et al. (1994). For related zwitterionic oximes and hydrochloride
oximes characterized by X-ray diffraction, see: Witte et al. (1984); Ferna´ndez et al. (1994); Gurkova et al. (1988); Laus et
al. (2008); Forgan et al. (2008). This work was supported by CONACyT (grant 83049). Supplementary data and figures for this paper are available from the
IUCr electronic archives (Reference: NK2010). Marı´a-Guadalupe Herna´ndez Linares,a Jesu´s Sandoval
Ramı´rez,b Socorro Meza Reyes,b Sara Montiel Smithb and
Sylvain Berne`sc* V = 2949.2 (10) A˚ 3
Z = 4
Mo K radiation
= 0.08 mm1
T = 298 K
0.60 0.60 0.35 mm aEscuela de Ingenierı´a Quı´mica, Universidad del Istmo, Ciudad Universitaria s/n,
70760 Sto. Domingo Tehuantepec, Oax., Mexico, bFacultad de Ciencias Quı´micas,
Beneme´rita Universidad Auto´noma de Puebla, Ciudad Universitaria, San Manuel,
72000 Puebla, Pue., Mexico, and cDEP Facultad de Ciencias Quı´micas, UANL,
Guerrero y Progreso S/N, Col. Trevin˜o, 64570 Monterrey, N.L., Mexico
Correspondence e-mail: sylvain_bernes@hotmail.com Ferna´ndez, M. J., Huertas, R., Ga´lvez, E., Sanz-Aparicio, J., Fonseca, I. &
Bellanato, J. (1994). J. Mol. Struct. 323, 85–91.
Forgan, R. S., Davidson, J. E., Galbraith, S. G., Henderson, D. K., Parsons, S.,
Tasker, P. A. & White, F. J. (2008). Chem. Commun. pp. 4049–4051.
Gurkova, S. N., Gusev, A. I., Alekseev, N. V. & Lakhtin, V. G. (1988). Zh.
Strukt. Khim. 29, 184–186. Experimental Experimental
Crystal data
C31H49NO5
Mr = 515.71
Orthorhombic, P212121
a = 8.385 (2) A˚
b = 11.5627 (16) A˚
c = 30.420 (5) A˚ Experimental
Crystal data
C31H49NO5
Mr = 515.71
Orthorhombic, P212121
a = 8.385 (2) A˚
b = 11.5627 (16) A˚
c = 30.420 (5) A˚ Marı´a-Guadalupe Herna´ndez Linares,a Jesu´s Sandoval
Ramı´rez,b Socorro Meza Reyes,b Sara Montiel Smithb and
Sylvain Berne`sc* Supplementary data and figures for this paper are available from the
IUCr electronic archives (Reference: NK2010). Refinement The title steroidal compound, C31H49NO5, resulted from the
selective oximation of (23R)-23-acetylsarsasapogenin acetate. One- and two-dimensional 1H and 13C NMR spectra, as well as
IR data, are in agreement with the presence of a ketoxime
group at C-23. However, recrystallization in slightly acidic
media affords the title compound in the rare zwitterionic
oxime form, as a consequence of migration of the hydroxy H
atom to the N atom in the oxime group. This H atom is clearly
detected and its position was refined from X-ray data. The
geometry for the C
N+(H)—O group features long C
N
and short N—O bond lengths compared to non-zwitterionic
oximes. The ketoxime is stabilized with the E configuration,
avoiding steric hindrance between the oxime O atom and H
atom at C-23. The sum of the angles around the oxime N atom
is 359.6, giving a planar configuration for that atom, as
expected for sp2 hybridization. The title steroidal compound, C31H49NO5, resulted from the
selective oximation of (23R)-23-acetylsarsasapogenin acetate. Table 1
Selected geometric parameters (A˚ , ). C32—C33
1.477 (5)
C32—N34
1.361 (6)
N34—H34
0.980 (18)
N34—O35
1.367 (5)
C23—C32—C33
122.0 (3)
N34—C32—C23
111.6 (3)
N34—C32—C33
126.3 (3)
C32—N34—O35
109.0 (4)
C32—N34—H34
132.0 (16)
O35—N34—H34
118.6 (16) Data collection Rint = 0.041
3 standard reflections
every 97 reflections
intensity decay: 3% Received 20 October 2009; accepted 27 October 2009 Key indicators: single-crystal X-ray study; T = 298 K; mean (C–C) = 0.005 A˚;
R factor = 0.048; wR factor = 0.129; data-to-parameter ratio = 8.6. Herna´ndez-Linares, G. (2005). PhD thesis, Universidad Auto´noma de Puebla,
Mexico.
Laus, G., Schwa¨rzler, A., Bentivoglio, G., Hummel, M., Kahlenberg, V., Wurst,
K., Kristeva, E., Schutz, J., Kopacka, H., Kreutz, C., Bonn, G., Andriyko, Y.,
Nauer, G. & Schottenberger, H. (2008). Z. Naturforsch. Teil B, 63, 447–464.
Meza-Reyes, S., Sandoval-Ramı´rez, J., Montiel-Smith, S., Herna´ndez-Linares,
G., Vin˜as-Bravo, O., Martı´nez-Pascual, R., Ferna´ndez-Herrera, M. A., Vega- References Ferna´ndez, M. J., Huertas, R., Ga´lvez, E., Sanz-Aparicio, J., Fonseca, I. &
Bellanato, J. (1994). J. Mol. Struct. 323, 85–91. Tasker, P. A. & White, F. J. (2008). Chem. Commun. pp. 4049–4051. Gurkova, S. N., Gusev, A. I., Alekseev, N. V. & Lakhtin, V. G. (1988). Zh. Strukt. Khim. 29, 184–186. o2954
Herna´ndez Linares et al. Acta Cryst. (2009). E65, o2954–o2955 doi:10.1107/S1600536809044651 Ba´ez, J. L., Merino-Montiel, P., Santilla´n, R. L., Farfa´n, N., Rinco´n, S. & del
Rı´o, R. E. (2005). Arkivoc, vi, 307–320.
Sheldrick, G. M. (2008). Acta Cryst. A64, 112–122.
Siemens (1994). XSCANS. Siemens Analytical X-ray Instruments Inc.,
Madison, Wisconsin, USA.
Witte, E. G., Schwochau, K. S., Henkel, G. & Krebs, B. (1984). Inorg. Chim.
Acta, 94, 323–331. Acta Cryst. (2009). E65, o2954–o2955 Herna´ndez Linares et al.
C31H49NO5
o2955 Witte, E. G., Schwochau, K. S., Henkel, G. & Krebs, B. (1984). Inorg. Chim.
Acta, 94, 323–331. organic compounds Ba´ez, J. L., Merino-Montiel, P., Santilla´n, R. L., Farfa´n, N., Rinco´n, S. & del
Rı´o, R. E. (2005). Arkivoc, vi, 307–320. Siemens (1994). XSCANS. Siemens Analytical X-ray Instruments Inc.,
Madison, Wisconsin, USA. Witte, E. G., Schwochau, K. S., Henkel, G. & Krebs, B. (1984). Inorg. Chim. Acta, 94, 323–331. Herna´ndez Linares et al. C31H49NO5
o2955 Comment Synthetic routes are available for the large scale preparation of (23R)-23-acetylsarsasapogenin acetate (Meza-Reyes et al.,
2005). During attempts to functionalize the 23 position in sarsasapogenin acetate, we have found that the oximation of
(23R)-23-acetylsarsasapogenin acetate using NH2OH.HCl afforded the expected 23-hydroxyimino derivative. IR spectrum
for that compound exhibits a strong vibration at 3400 cm-1 (νO—H), a weak vibration at 1636 cm-1 (νC=N), and a vibration
at 951 cm-1 (νN—O), characteristics of ketoximes. One-dimensional and two-dimensional 1H and 13C NMR data are also in
full agreement with that assignment (Hernández-Linares, 2005, and archived CIF). For instance, 31 signals are detected in
13C-NMR, one of which, at 159.3 p.p.m., is characteristic of the C231 atom substituted by an hydroxyimino group. However, recrystallization of the ketoxime in a slightly acidic medium (MeOH/CH2Cl2, 98:2) afforded a solid with a
significantly different melting point (459 K for the oxime, 516 K for the recrystallized material). On the other hand, the
high m.p. solid presents a new 1H-NMR broad signal at 9.05 p.p.m., and the stretching vibration for OH group in the IR
spectrum no longer appears, while a new strong vibration is observed at 2300 cm-1. In order to rationalize these dramatic
changes, the X-ray analysis of this material was carried out. The molecular structure (Fig. 1) resolves the above mentioned problem: a difference map shows a strong residual in the
vicinity of atom N34, while no H atom is found bonded to O35. The oxime is thus stabilized in the solid-state in a rather
rare zwittterionic form. The residual close to N34 refines well as an H atom. The N—H bond accounts for the IR vibration
at 2300 cm-1 and H34 is detected in 1H-NMR at 9.05 p.p.m.. Refinement of the proposed model was however not so straightforward. Alternative models assuming a non-zwitterionic
oxime were probed, with disordered N and O sites, which resulted in oxime groups with geometry far from expectation and
physically unreasonable intermolecular contacts. On the other hand, refinements carried out with a free H34 atom converged
to a geometry where the oxime N atom deviates significantly from the expected planar trigonal arrangement, although
the N34—H34 bond length lies in the expected range. Considering that the structure is based on room-temperature data,
we eventually refined the structural model with a pair of soft restraints for non-bonding separations involving H34 (see
Experimental). Acta Cryst. (2009). E65, o2954-o2955 [ doi:10.1107/S1600536809044651 ] Acta Cryst. (2009). E65, o2954-o2955 [ doi:10.1107/S1600536809044651 ] supplementary materials supplementary materials supplementary materials compared to common non-zwitterionic oximes (ca. 1.28 and 1.41 Å, respectively). The sum of angles around N2 is very
close to 360°, as expected for a sp2 hybridized atom. Therefore, delocalization is extended on the whole hydroxyimino group,
C32/N34/O35, which is almost planar. The imine group presents the E configuration, which avoids steric hindrance between
the oxime O atom and methine H atom H23C. This geometry is close to that previously reported for the few zwitterionic
oximes or hydrochloride oximes characterized by X-ray diffraction (Fernández et al., 1994; Gurkova et al., 1988; Laus et
al., 2008). The imine N-oxide tautomer has also been used as a ligand (Witte et al., 1984; Forgan et al., 2008). compared to common non-zwitterionic oximes (ca. 1.28 and 1.41 Å, respectively). The sum of angles around N2 is very
close to 360°, as expected for a sp2 hybridized atom. Therefore, delocalization is extended on the whole hydroxyimino group,
C32/N34/O35, which is almost planar. The imine group presents the E configuration, which avoids steric hindrance between
the oxime O atom and methine H atom H23C. This geometry is close to that previously reported for the few zwitterionic
oximes or hydrochloride oximes characterized by X-ray diffraction (Fernández et al., 1994; Gurkova et al., 1988; Laus et
al., 2008). The imine N-oxide tautomer has also been used as a ligand (Witte et al., 1984; Forgan et al., 2008). Experimental In a 100 ml round bottom flask was dissolved 2 mmol (1 g) of (23R)-23-acetylsarsasapogenin acetate in ethanol (30 ml). Pyridine (1 ml) and 2 mmol of NH2OH.HCl (0.139 g) were added. The mixture was refluxed for 3 h, following the reaction
by TLC. Solvent was then eliminated under reduced pressure, affording the crude oxime. The crude was recrystallized in
a mixture of MeOH/CH2Cl2 (98:2), yielding the iminium olate zwitterion (96%). When the crude product was neutralized
and then crystallized, the hydroxyimino derivative was obtained Anal. found (calc. for C31H49NO5): C 72.20 (72.20), H
9.56 (9.57), N 2.71 (2.71%). Comment Finally, a supplementary concern is about the terminal O atom O35, which is separated by 2.757 (5) Å from
the carbonyl O30 atom of a symmetry-related molecule (symmetry code: 2 - x, -1/2 + y, 1/2 - z). Such an arrangement would
be suitable for a stabilizing hydrogen bond, which is not observed because of the migration of the oxime H atom to N34. With the currently available data, it is however difficult to decide if this situation resulted from the actual migration of the
H atom in the solid-sate. Definitively, more data are required in order to fully characterize this zwitterion, for example low
temperature neutron diffraction data, and the X-ray structure of the non-zwitterionic title molecule. The tautomerism between oximes and imine N-oxides seems to be poorly documented (Fernández et al., 1994). In the
case of the title compound, the C═N bond length is long, 1.361 (6) Å, and the N—O bond length is short, 1.367 (5) Å, sup-1 Refinement H34 was found in a difference map and refined with free coordinates, although geometry around N34 was restrained through
soft restraints in order to avoid significant deviations from trigonal geometry. The X-ray structure of acetone oxime hydro-
chloride was used as target (Gurkova et al., 1988): H34···C32 and H34···O35 separations were restrained to 2.10 (2) Å. The isotropic displacement parameter for H34 was fixed to Uiso(H34) = 1.5Ueq(N34). Other H atoms were placed in ideal-
ized positions and refined using a riding model, with fixed C—H bond lengths: 0.96 (methyl), 0.97 (methylene) or 0.98 Å
(methine). Isotropic displacement parameters were computed as Uiso(H) = 1.5Ueq(carrier C) for methyl groups and Uiso(H)
= 1.2Ueq(carrier C) for other H atoms. Methyl groups were allowed to rotate about their C—C bonds. Figures
Fig. 1. The title molecule with displacement ellipsoids for non-H atoms shown at the 30%
probability level. Figures
Fig. 1. The title molecule with displacement ellipsoids for non-H atoms shown at the 30%
probability level. Figures Fig. 1. The title molecule with displacement ellipsoids for non-H atoms shown at the 30%
probability level. (23'E)-(23R,25S)-23-[1-(oxidoiminio)ethyl]-5β- spirostan-3β-yl acetate (23'E)-(23R,25S)-23-[1-(oxidoiminio)ethyl]-5β- spirostan-3β-yl acetate Crystal data
C31H49NO5
Mr = 515.71
Orthorhombic, P212121
Hall symbol: P 2ac 2ab
a = 8.385 (2) Å
b = 11.5627 (16) Å Dx = 1.161 Mg m−3
Melting point: 516 K
Mo Kα radiation, λ = 0.71073 Å
Cell parameters from 44 reflections
θ = 4.7–12.5º
µ = 0.08 mm−1 sup-2 supplementary materials c = 30.420 (5) Å
T = 298 K
V = 2949.2 (10) Å3
Irregular, colourless
Z = 4
0.60 × 0.60 × 0.35 mm
F000 = 1128 c = 30.420 (5) Å
T = 298 K
V = 2949.2 (10) Å3
Irregular, colourless
Z = 4
0.60 × 0.60 × 0.35 mm
F000 = 1128 = 30.420 (5) Å
T = 298 K
= 2949.2 (10) Å3
Irregular, colourless
= 4
0.60 × 0.60 × 0.35 mm T = 298 K
Irregular, colourless
0.60 × 0.60 × 0.35 mm Data collection
Bruker P4
diffractometer
Rint = 0.041
Radiation source: fine-focus sealed tube
θmax = 25.0º
Monochromator: graphite
θmin = 1.9º
T = 298 K
h = −9→2
ω scans
k = −13→1
Absorption correction: none
l = −36→1
4182 measured reflections
3 standard refle
2956 independent reflections
every 97 reflect Rint = 0.041
θmax = 25.0º
θmin = 1.9º
h = −9→2
k = −13→1
l = −36→1
3 standard reflections
every 97 reflections
intensity decay: 3% Secondary atom site location: difference Fourier map
Hydrogen site location: inferred from neighbouring
sites H atoms treated by a mixture of
independent and constrained refinement H atoms treated by a mixture of
independent and constrained refinement w = 1/[σ2(Fo
2) + (0.0651P)2 + 1.0057P]
where P = (Fo
2 + 2Fc
2)/3
(Δ/σ)max < 0.001
Δρmax = 0.46 e Å−3
Δρmin = −0.25 e Å−3 w = 1/[σ2(Fo
2) + (0.0651P)2 + 1.0057P]
where P = (Fo
2 + 2Fc
2)/3
(Δ/σ)max < 0.001
Δρmax = 0.46 e Å−3
Δρmin = −0.25 e Å−3 Extinction correction: SHELXTL (Sheldrick, 2008),
Fc*=kFc[1+0.001xFc2λ3/sin(2θ)]-1/4 Extinction correction: SHELXTL (Sheldrick, 2008),
Fc*=kFc[1+0.001xFc2λ3/sin(2θ)]-1/4 Extinction coefficient: 0.0095 (18) Fractional 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
C1
1.0856 (4)
0.6448 (3)
0.33730 (11)
0.0516 (9)
H1A
1.0915
0.5917
0.3619
0.062*
H1B
1.1393
0.6086
0.3126
0.062*
C2
1.1766 (4)
0.7539 (4)
0.34940 (12)
0.0560 (9)
H2D
1.1862
0.8030
0.3237
0.067*
H2E
1.2832
0.7333
0.3589
0.067*
C3
1.0929 (5)
0.8205 (3)
0.38583 (11)
0.0554 (9)
H3A
1.1486
0.8934
0.3917
0.066*
C4
0.9219 (5)
0.8431 (3)
0.37427 (11)
0.0531 (9)
H4A
0.9182
0.8964
0.3497
0.064* sup-3 supplementary materials supplementary materials sup-4
H4B
0.8701
0.8802
0.3991
0.064*
C5
0.8285 (4)
0.7338 (3)
0.36217 (10)
0.0485 (8)
H5A
0.8271
0.6848
0.3885
0.058*
C6
0.6548 (4)
0.7627 (4)
0.35160 (11)
0.0599 (11)
H6A
0.6116
0.8113
0.3747
0.072*
H6B
0.5929
0.6919
0.3508
0.072*
C7
0.6396 (5)
0.8252 (4)
0.30744 (11)
0.0587 (10)
H7B
0.5277
0.8390
0.3012
0.070*
H7C
0.6925
0.8996
0.3093
0.070*
C8
0.7128 (4)
0.7551 (3)
0.27006 (10)
0.0447 (8)
H8B
0.6522
0.6831
0.2670
0.054*
C9
0.8885 (4)
0.7238 (3)
0.27973 (10)
0.0421 (7)
H9B
0.9461
0.7972
0.2821
0.051*
C10
0.9083 (4)
0.6615 (3)
0.32507 (10)
0.0441 (8)
C11
0.9635 (5)
0.6585 (3)
0.24098 (10)
0.0552 (9)
H11B
0.9145
0.5827
0.2389
0.066*
H11C
1.0761
0.6473
0.2469
0.066*
C12
0.9452 (4)
0.7207 (3)
0.19660 (11)
0.0519 (9)
H12A
1.0078
0.7913
0.1970
0.062*
H12B
0.9866
0.6716
0.1734
0.062*
C13
0.7726 (4)
0.7502 (3)
0.18680 (10)
0.0410 (7)
C14
0.7059 (4)
0.8196 (3)
0.22627 (10)
0.0434 (8)
H14B
0.7764
0.8867
0.2296
0.052*
C15
0.5478 (4)
0.8673 (4)
0.20928 (10)
0.0531 (9)
H15B
0.5123
0.9329
0.2266
0.064*
H15C
0.4655
0.8084
0.2093
0.064*
C16
0.5917 (4)
0.9040 (3)
0.16224 (10)
0.0448 (8)
H16B
0.6064
0.9880
0.1607
0.054*
C17
0.7482 (4)
0.8411 (3)
0.14966 (10)
0.0405 (7)
H17C
0.8361
0.8968
0.1508
0.049*
C18
0.6769 (5)
0.6401 (3)
0.17818 (12)
0.0576 (9)
H18C
0.6759
0.5932
0.2042
0.086*
H18D
0.7251
0.5976
0.1545
0.086*
H18E
0.5695
0.6602
0.1704
0.086*
C19
0.8329 (5)
0.5408 (3)
0.32368 (13)
0.0615 (10)
H19A
0.8376
0.5066
0.3524
0.092*
H19B
0.8903
0.4932
0.3032
0.092*
H19C
0.7237
0.5471
0.3145
0.092*
C20
0.7218 (4)
0.8046 (3)
0.10144 (10)
0.0435 (8)
H20A
0.7122
0.7202
0.1007
0.052*
C21
0.8573 (4)
0.8390 (4)
0.07093 (12)
0.0606 (10)
H21B
0.8276
0.8230
0.0411
0.091*
H21C
0.9512
0.7956
0.0783
0.091*
H21D
0.8787
0.9201
0.0741
0.091*
C22
0.5588 (4)
0.8561 (3)
0.08961 (10)
0.0391 (7)
O22
0.4759 (2)
0.86704 (19)
0.13038 (6)
0.0415 (5)
C23
0.4554 (4)
0.7843 (3)
0.05791 (10)
0.0430 (8)
H23C
0.5201
0.7697
0.0317
0.052*
C24
0.3086 (4)
0.8530 (3)
0.04293 (11)
0.0511 (8) sup-4 supplementary materials supplementary materia
H24C
0.2537
0.8100
0.0201
0.061*
H24D
0.2359
0.8616
0.0675
0.061*
C25
0.3526 (5)
0.9721 (3)
0.02546 (11)
0.0541 (9)
H25C
0.2538
1.0157
0.0209
0.065*
C26
0.4476 (5)
1.0321 (3)
0.06089 (12)
0.0552 (9)
H26D
0.4773
1.1088
0.0509
0.066*
H26E
0.3821
1.0405
0.0870
0.066*
O26
0.5890 (3)
0.96787 (19)
0.07171 (7)
0.0473 (6)
C27
0.4413 (6)
0.9665 (4)
−0.01843 (12)
0.0700 (11)
H27C
0.4699
1.0432
−0.0275
0.105*
H27D
0.3735
0.9319
−0.0402
0.105*
H27E
0.5360
0.9207
−0.0151
0.105*
O28
1.0885 (3)
0.7483 (2)
0.42577 (7)
0.0540 (6)
C29
1.2125 (5)
0.7503 (3)
0.45297 (11)
0.0539 (9)
O30
1.3306 (4)
0.8083 (3)
0.44684 (10)
0.0741 (8)
C31
1.1864 (5)
0.6731 (4)
0.49129 (12)
0.0710 (12)
H31B
1.2539
0.6970
0.5151
0.106*
H31C
1.2117
0.5950
0.4833
0.106*
H31D
1.0769
0.6775
0.5003
0.106*
C32
0.4111 (4)
0.6680 (3)
0.07679 (11)
0.0483 (8)
C33
0.2777 (5)
0.6538 (4)
0.10802 (13)
0.0660 (11)
H33A
0.3050
0.5962
0.1295
0.099*
H33B
0.1839
0.6299
0.0924
0.099*
H33C
0.2574
0.7260
0.1225
0.099*
N34
0.5075 (6)
0.5826 (3)
0.06127 (13)
0.0854 (13)
H34
0.605 (5)
0.585 (2)
0.0434 (17)
0.128*
O35
0.4610 (5)
0.4795 (3)
0.07914 (14)
0.1043 (12)
Atomic displacement parameters (Å2)
U11
U22
U33
U12
U13
U23
C1
0.051 (2)
0.058 (2)
0.0460 (17)
0.0135 (19)
0.0002 (16)
0.0069 (16)
C2
0.0428 (18)
0.069 (2)
0.056 (2)
−0.003 (2)
−0.0010 (16)
0.013 (2)
C3
0.060 (2)
0.054 (2)
0.0515 (18)
−0.009 (2)
−0.0074 (18)
0.0068 (16)
C4
0.060 (2)
0.0538 (19)
0.0458 (17)
0.0118 (19)
−0.0014 (17)
−0.0013 (16)
C5
0.0440 (18)
0.059 (2)
0.0422 (17)
0.0067 (18)
0.0023 (15)
0.0068 (16)
C6
0.0442 (18)
0.094 (3)
0.0415 (17)
0.019 (2)
0.0072 (16)
0.003 (2)
C7
0.048 (2)
0.083 (3)
0.0454 (17)
0.027 (2)
0.0009 (16)
−0.0018 (18)
C8
0.0405 (17)
0.0530 (18)
0.0405 (16)
0.0062 (18)
0.0007 (14)
0.0011 (15)
C9
0.0392 (16)
0.0439 (17)
0.0433 (16)
0.0060 (15)
−0.0002 (14)
0.0001 (14)
C10
0.0425 (17)
0.0450 (17)
0.0449 (16)
0.0041 (16)
−0.0018 (15)
0.0045 (14)
C11
0.052 (2)
0.066 (2)
0.0474 (18)
0.019 (2)
0.0044 (16)
0.0054 (17)
C12
0.0462 (19)
0.064 (2)
0.0458 (17)
0.0113 (18)
0.0065 (16)
0.0026 (16)
C13
0.0413 (17)
0.0433 (16)
0.0385 (15)
0.0079 (16)
0.0020 (14)
−0.0003 (14)
C14
0.0425 (17)
0.0485 (18)
0.0392 (15)
0.0102 (17)
−0.0026 (14)
−0.0036 (15)
C15
0.052 (2)
0.069 (2)
0.0375 (15)
0.022 (2)
0.0008 (15)
−0.0045 (16)
C16
0.0460 (18)
0.0464 (17)
0.0421 (16)
0.0087 (17)
−0.0037 (15)
−0.0033 (14)
C17
0.0370 (16)
0.0425 (16)
0.0420 (16)
0.0005 (15)
−0.0003 (14)
−0.0008 (14) Atomic displacement parameters (Å2) Atomic displacement parameters (Å )
U11
U22
U33
U12
U13
U23
C1
0.051 (2)
0.058 (2)
0.0460 (17)
0.0135 (19)
0.0002 (16)
0.0069 (16)
C2
0.0428 (18)
0.069 (2)
0.056 (2)
−0.003 (2)
−0.0010 (16)
0.013 (2)
C3
0.060 (2)
0.054 (2)
0.0515 (18)
−0.009 (2)
−0.0074 (18)
0.0068 (16)
C4
0.060 (2)
0.0538 (19)
0.0458 (17)
0.0118 (19)
−0.0014 (17)
−0.0013 (16)
C5
0.0440 (18)
0.059 (2)
0.0422 (17)
0.0067 (18)
0.0023 (15)
0.0068 (16)
C6
0.0442 (18)
0.094 (3)
0.0415 (17)
0.019 (2)
0.0072 (16)
0.003 (2)
C7
0.048 (2)
0.083 (3)
0.0454 (17)
0.027 (2)
0.0009 (16)
−0.0018 (18)
C8
0.0405 (17)
0.0530 (18)
0.0405 (16)
0.0062 (18)
0.0007 (14)
0.0011 (15)
C9
0.0392 (16)
0.0439 (17)
0.0433 (16)
0.0060 (15)
−0.0002 (14)
0.0001 (14)
C10
0.0425 (17)
0.0450 (17)
0.0449 (16)
0.0041 (16)
−0.0018 (15)
0.0045 (14)
C11
0.052 (2)
0.066 (2)
0.0474 (18)
0.019 (2)
0.0044 (16)
0.0054 (17)
C12
0.0462 (19)
0.064 (2)
0.0458 (17)
0.0113 (18)
0.0065 (16)
0.0026 (16)
C13
0.0413 (17)
0.0433 (16)
0.0385 (15)
0.0079 (16)
0.0020 (14)
−0.0003 (14)
C14
0.0425 (17)
0.0485 (18)
0.0392 (15)
0.0102 (17)
−0.0026 (14)
−0.0036 (15)
C15
0.052 (2)
0.069 (2)
0.0375 (15)
0.022 (2)
0.0008 (15)
−0.0045 (16)
C16
0.0460 (18)
0.0464 (17)
0.0421 (16)
0.0087 (17)
−0.0037 (15)
−0.0033 (14)
C17
0.0370 (16)
0.0425 (16)
0.0420 (16)
0.0005 (15)
−0.0003 (14)
−0.0008 (14) sup-5 supplementary materials supplementary materials C18
0.068 (2)
0.0508 (19)
0.0541 (19)
−0.007 (2)
0.0033 (19)
−0.0030 (17)
C19
0.069 (3)
0.053 (2)
0.063 (2)
−0.005 (2)
−0.002 (2)
0.0078 (18)
C20
0.0406 (17)
0.0491 (18)
0.0408 (16)
0.0034 (16)
0.0011 (14)
−0.0040 (15)
C21
0.0439 (19)
0.089 (3)
0.0490 (18)
0.005 (2)
0.0077 (17)
0.000 (2)
C22
0.0366 (16)
0.0435 (16)
0.0373 (14)
0.0037 (15)
0.0031 (14)
−0.0023 (13)
O22
0.0375 (11)
0.0500 (12)
0.0369 (10)
0.0064 (11)
0.0016 (9)
−0.0021 (10)
C23
0.0383 (17)
0.0507 (18)
0.0399 (16)
0.0009 (15)
0.0032 (15)
−0.0040 (14)
C24
0.0439 (18)
0.061 (2)
0.0485 (17)
0.0003 (18)
−0.0036 (16)
−0.0034 (17)
C25
0.050 (2)
0.059 (2)
0.0530 (19)
0.0090 (19)
−0.0032 (18)
0.0042 (17)
C26
0.061 (2)
0.0443 (18)
0.060 (2)
0.0087 (18)
0.001 (2)
0.0056 (16)
O26
0.0466 (13)
0.0468 (12)
0.0486 (12)
−0.0029 (12)
0.0005 (11)
0.0054 (10)
C27
0.079 (3)
0.079 (3)
0.052 (2)
0.004 (3)
−0.002 (2)
0.015 (2)
O28
0.0521 (13)
0.0620 (14)
0.0480 (12)
−0.0073 (14)
−0.0077 (12)
0.0084 (12)
C29
0.054 (2)
0.059 (2)
0.0481 (18)
0.009 (2)
−0.0064 (17)
−0.0047 (18)
O30
0.0616 (17)
0.0797 (19)
0.0810 (19)
−0.0100 (17)
−0.0189 (16)
0.0064 (17)
C31
0.065 (3)
0.092 (3)
0.056 (2)
0.015 (3)
−0.002 (2)
0.010 (2)
C32
0.0515 (19)
0.0424 (17)
0.0511 (18)
−0.0031 (17)
−0.0078 (17)
−0.0053 (15)
C33
0.064 (2)
0.061 (2)
0.073 (2)
−0.018 (2)
0.000 (2)
0.010 (2)
N34
0.118 (3)
0.0420 (17)
0.096 (3)
−0.013 (2)
−0.039 (3)
0.0033 (18)
O35
0.110 (3)
0.079 (2)
0.123 (3)
−0.018 (2)
0.028 (3)
0.001 (2)
Geometric parameters (Å, °)
C1—C2
1.519 (5)
C17—C20
1.542 (4)
C1—C10
1.544 (5)
C17—H17C
0.9800
C1—H1A
0.9700
C18—H18C
0.9600
C1—H1B
0.9700
C18—H18D
0.9600
C2—C3
1.520 (5)
C18—H18E
0.9600
C2—H2D
0.9700
C19—H19A
0.9600
C2—H2E
0.9700
C19—H19B
0.9600
C3—O28
1.474 (4)
C19—H19C
0.9600
C3—C4
1.500 (5)
C20—C21
1.520 (5)
C3—H3A
0.9800
C20—C22
1.534 (5)
C4—C5
1.531 (5)
C20—H20A
0.9800
C4—H4A
0.9700
C21—H21B
0.9600
C4—H4B
0.9700
C21—H21C
0.9600
C5—C6
1.529 (5)
C21—H21D
0.9600
C5—C10
1.556 (5)
C22—O26
1.426 (4)
C5—H5A
0.9800
C22—O22
1.427 (4)
C6—C7
1.531 (5)
C22—C23
1.539 (5)
C6—H6A
0.9700
C23—C32
1.509 (5)
C6—H6B
0.9700
C23—C24
1.534 (5)
C7—C8
1.526 (5)
C23—H23C
0.9800
C7—H7B
0.9700
C24—C25
1.522 (5)
C7—H7C
0.9700
C24—H24C
0.9700
C8—C14
1.528 (4)
C24—H24D
0.9700
C8—C9
1.545 (5)
C25—C26
1.509 (5)
C8—H8B
0.9800
C25—C27
1.530 (5)
C9—C11
1.534 (5)
C25—H25C
0.9800 sup-6 supplementary materials supplementary materials C9—C10
1.565 (4)
C26—O26
C9—H9B
0.9800
C26—H26D
C10—C19
1.532 (5)
C26—H26E
C11—C12
1.537 (5)
C27—H27C
C11—H11B
0.9700
C27—H27D
C11—H11C
0.9700
C27—H27E
C12—C13
1.517 (5)
O28—C29
C12—H12A
0.9700
C29—O30
C12—H12B
0.9700
C29—C31
C13—C18
1.528 (5)
C31—H31B
C13—C14
1.549 (4)
C31—H31C
C13—C17
1.556 (4)
C31—H31D
C14—C15
1.526 (5)
C32—C33
C14—H14B
0.9800
C32—N34
C15—C16
1.537 (5)
C33—H33A
C15—H15B
0.9700
C33—H33B
C15—H15C
0.9700
C33—H33C
C16—O22
1.437 (4)
N34—H34
C16—C17
1.548 (4)
N34—O35
C16—H16B
0.9800
C2—C1—C10
116.0 (3)
O22—C16—H16B
C2—C1—H1A
108.3
C15—C16—H16B
C10—C1—H1A
108.3
C17—C16—H16B
C2—C1—H1B
108.3
C20—C17—C16
C10—C1—H1B
108.3
C20—C17—C13
H1A—C1—H1B
107.4
C16—C17—C13
C1—C2—C3
111.4 (3)
C20—C17—H17C
C1—C2—H2D
109.3
C16—C17—H17C
C3—C2—H2D
109.3
C13—C17—H17C
C1—C2—H2E
109.3
C13—C18—H18C
C3—C2—H2E
109.3
C13—C18—H18D
H2D—C2—H2E
108.0
H18C—C18—H18D
O28—C3—C4
105.5 (3)
C13—C18—H18E
O28—C3—C2
109.0 (3)
H18C—C18—H18E
C4—C3—C2
111.0 (3)
H18D—C18—H18E
O28—C3—H3A
110.4
C10—C19—H19A
C4—C3—H3A
110.4
C10—C19—H19B
C2—C3—H3A
110.4
H19A—C19—H19B
C3—C4—C5
113.7 (3)
C10—C19—H19C
C3—C4—H4A
108.8
H19A—C19—H19C
C5—C4—H4A
108.8
H19B—C19—H19C
C3—C4—H4B
108.8
C21—C20—C22
C5—C4—H4B
108.8
C21—C20—C17
H4A—C4—H4B
107.7
C22—C20—C17
C6—C5—C4
110.9 (3)
C21—C20—H20A
C6—C5—C10
112.0 (3)
C22—C20—H20A
C4—C5—C10
113.4 (3)
C17—C20—H20A
C6—C5—H5A
106.7
C20—C21—H21B
C4—C5—H5A
106.7
C20—C21—H21C 1.565 (4)
C26—O26
0.9800
C26—H26D
1.532 (5)
C26—H26E
1.537 (5)
C27—H27C
0.9700
C27—H27D
0.9700
C27—H27E
1.517 (5)
O28—C29
0.9700
C29—O30
0.9700
C29—C31
1.528 (5)
C31—H31B
1.549 (4)
C31—H31C
1.556 (4)
C31—H31D
1.526 (5)
C32—C33
0.9800
C32—N34
1.537 (5)
C33—H33A
0.9700
C33—H33B
0.9700
C33—H33C
1.437 (4)
N34—H34
1.548 (4)
N34—O35
0.9800
116.0 (3)
O22—C16—H16B
108.3
C15—C16—H16B
108.3
C17—C16—H16B
108.3
C20—C17—C16
108.3
C20—C17—C13
107.4
C16—C17—C13
111.4 (3)
C20—C17—H17C
109.3
C16—C17—H17C
109.3
C13—C17—H17C
109.3
C13—C18—H18C
109.3
C13—C18—H18D
108.0
H18C—C18—H18D
105.5 (3)
C13—C18—H18E
109.0 (3)
H18C—C18—H18E
111.0 (3)
H18D—C18—H18E
110.4
C10—C19—H19A
110.4
C10—C19—H19B
110.4
H19A—C19—H19B
113.7 (3)
C10—C19—H19C
108.8
H19A—C19—H19C
108.8
H19B—C19—H19C
108.8
C21—C20—C22
108.8
C21—C20—C17
107.7
C22—C20—C17
110.9 (3)
C21—C20—H20A
112.0 (3)
C22—C20—H20A
113.4 (3)
C17—C20—H20A
106.7
C20—C21—H21B
106.7
C20—C21—H21C sup-7
1.565 (4)
C26—O26
1.437 (4)
0.9800
C26—H26D
0.9700
1.532 (5)
C26—H26E
0.9700
1.537 (5)
C27—H27C
0.9600
0.9700
C27—H27D
0.9600
0.9700
C27—H27E
0.9600
1.517 (5)
O28—C29
1.328 (4)
0.9700
C29—O30
1.210 (5)
0.9700
C29—C31
1.484 (5)
1.528 (5)
C31—H31B
0.9600
1.549 (4)
C31—H31C
0.9600
1.556 (4)
C31—H31D
0.9600
1.526 (5)
C32—C33
1.477 (5)
0.9800
C32—N34
1.361 (6)
1.537 (5)
C33—H33A
0.9600
0.9700
C33—H33B
0.9600
0.9700
C33—H33C
0.9600
1.437 (4)
N34—H34
0.980 (18)
1.548 (4)
N34—O35
1.367 (5)
0.9800
116.0 (3)
O22—C16—H16B
110.3
108.3
C15—C16—H16B
110.3
108.3
C17—C16—H16B
110.3
108.3
C20—C17—C16
104.0 (2)
108.3
C20—C17—C13
121.6 (3)
107.4
C16—C17—C13
104.4 (2)
111.4 (3)
C20—C17—H17C
108.7
109.3
C16—C17—H17C
108.7
109.3
C13—C17—H17C
108.7
109.3
C13—C18—H18C
109.5
109.3
C13—C18—H18D
109.5
108.0
H18C—C18—H18D
109.5
105.5 (3)
C13—C18—H18E
109.5
109.0 (3)
H18C—C18—H18E
109.5
111.0 (3)
H18D—C18—H18E
109.5
110.4
C10—C19—H19A
109.5
110.4
C10—C19—H19B
109.5
110.4
H19A—C19—H19B
109.5
113.7 (3)
C10—C19—H19C
109.5
108.8
H19A—C19—H19C
109.5
108.8
H19B—C19—H19C
109.5
108.8
C21—C20—C22
114.9 (3)
108.8
C21—C20—C17
113.7 (3)
107.7
C22—C20—C17
104.2 (3)
110.9 (3)
C21—C20—H20A
107.9
112.0 (3)
C22—C20—H20A
107.9
113.4 (3)
C17—C20—H20A
107.9
106.7
C20—C21—H21B
109.5
106.7
C20—C21—H21C
109.5 sup-7 supplementary materials supplementary materials 106.7
H21B—C21—H21C
109.5
111.6 (3)
C20—C21—H21D
109.5
109.3
H21B—C21—H21D
109.5
109.3
H21C—C21—H21D
109.5
109.3
O26—C22—O22
109.7 (2)
109.3
O26—C22—C20
106.4 (3)
108.0
O22—C22—C20
105.3 (2)
111.7 (3)
O26—C22—C23
110.5 (2)
109.3
O22—C22—C23
108.6 (2)
109.3
C20—C22—C23
116.1 (3)
109.3
C22—O22—C16
106.5 (2)
109.3
C32—C23—C24
112.1 (3)
107.9
C32—C23—C22
112.4 (3)
112.0 (3)
C24—C23—C22
111.1 (3)
111.5 (3)
C32—C23—H23C
107.0
108.4 (3)
C24—C23—H23C
107.0
108.3
C22—C23—H23C
107.0
108.3
C25—C24—C23
112.2 (3)
108.3
C25—C24—H24C
109.2
111.1 (3)
C23—C24—H24C
109.2
114.0 (3)
C25—C24—H24D
109.2
112.2 (3)
C23—C24—H24D
109.2
106.3
H24C—C24—H24D
107.9
106.3
C26—C25—C24
107.1 (3)
106.3
C26—C25—C27
112.7 (3)
106.9 (3)
C24—C25—C27
112.6 (3)
109.4 (3)
C26—C25—H25C
108.1
107.8 (3)
C24—C25—H25C
108.1
110.5 (3)
C27—C25—H25C
108.1
111.8 (3)
O26—C26—C25
111.2 (3)
110.2 (3)
O26—C26—H26D
109.4
113.8 (3)
C25—C26—H26D
109.4
108.8
O26—C26—H26E
109.4
108.8
C25—C26—H26E
109.4
108.8
H26D—C26—H26E
108.0
108.8
C22—O26—C26
114.2 (3)
107.7
C25—C27—H27C
109.5
111.9 (3)
C25—C27—H27D
109.5
109.2
H27C—C27—H27D
109.5
109.2
C25—C27—H27E
109.5
109.2
H27C—C27—H27E
109.5
109.2
H27D—C27—H27E
109.5
107.9
C29—O28—C3
118.9 (3)
110.3 (3)
O30—C29—O28
123.6 (3)
108.0 (3)
O30—C29—C31
125.0 (4)
112.1 (3)
O28—C29—C31
111.3 (4)
114.8 (3)
C29—C31—H31B
109.5
111.7 (3)
C29—C31—H31C
109.5
99.5 (2)
H31B—C31—H31C
109.5 C10—C5—H5A
106.7
H21B—C21—H21C
109.5
C5—C6—C7
111.6 (3)
C20—C21—H21D
109.5
C5—C6—H6A
109.3
H21B—C21—H21D
109.5
C7—C6—H6A
109.3
H21C—C21—H21D
109.5
C5—C6—H6B
109.3
O26—C22—O22
109.7 (2)
C7—C6—H6B
109.3
O26—C22—C20
106.4 (3)
H6A—C6—H6B
108.0
O22—C22—C20
105.3 (2)
C8—C7—C6
111.7 (3)
O26—C22—C23
110.5 (2)
C8—C7—H7B
109.3
O22—C22—C23
108.6 (2)
C6—C7—H7B
109.3
C20—C22—C23
116.1 (3)
C8—C7—H7C
109.3
C22—O22—C16
106.5 (2)
C6—C7—H7C
109.3
C32—C23—C24
112.1 (3)
H7B—C7—H7C
107.9
C32—C23—C22
112.4 (3)
C7—C8—C14
112.0 (3)
C24—C23—C22
111.1 (3)
C7—C8—C9
111.5 (3)
C32—C23—H23C
107.0
C14—C8—C9
108.4 (3)
C24—C23—H23C
107.0
C7—C8—H8B
108.3
C22—C23—H23C
107.0
C14—C8—H8B
108.3
C25—C24—C23
112.2 (3)
C9—C8—H8B
108.3
C25—C24—H24C
109.2
C11—C9—C8
111.1 (3)
C23—C24—H24C
109.2
C11—C9—C10
114.0 (3)
C25—C24—H24D
109.2
C8—C9—C10
112.2 (3)
C23—C24—H24D
109.2
C11—C9—H9B
106.3
H24C—C24—H24D
107.9
C8—C9—H9B
106.3
C26—C25—C24
107.1 (3)
C10—C9—H9B
106.3
C26—C25—C27
112.7 (3)
C19—C10—C1
106.9 (3)
C24—C25—C27
112.6 (3)
C19—C10—C5
109.4 (3)
C26—C25—H25C
108.1
C1—C10—C5
107.8 (3)
C24—C25—H25C
108.1
C19—C10—C9
110.5 (3)
C27—C25—H25C
108.1
C1—C10—C9
111.8 (3)
O26—C26—C25
111.2 (3)
C5—C10—C9
110.2 (3)
O26—C26—H26D
109.4
C9—C11—C12
113.8 (3)
C25—C26—H26D
109.4
C9—C11—H11B
108.8
O26—C26—H26E
109.4
C12—C11—H11B
108.8
C25—C26—H26E
109.4
C9—C11—H11C
108.8
H26D—C26—H26E
108.0
C12—C11—H11C
108.8
C22—O26—C26
114.2 (3)
H11B—C11—H11C
107.7
C25—C27—H27C
109.5
C13—C12—C11
111.9 (3)
C25—C27—H27D
109.5
C13—C12—H12A
109.2
H27C—C27—H27D
109.5
C11—C12—H12A
109.2
C25—C27—H27E
109.5
C13—C12—H12B
109.2
H27C—C27—H27E
109.5
C11—C12—H12B
109.2
H27D—C27—H27E
109.5
H12A—C12—H12B
107.9
C29—O28—C3
118.9 (3)
C12—C13—C18
110.3 (3)
O30—C29—O28
123.6 (3)
C12—C13—C14
108.0 (3)
O30—C29—C31
125.0 (4)
C18—C13—C14
112.1 (3)
O28—C29—C31
111.3 (4)
C12—C13—C17
114.8 (3)
C29—C31—H31B
109.5
C18—C13—C17
111.7 (3)
C29—C31—H31C
109.5
C14—C13—C17
99.5 (2)
H31B—C31—H31C
109.5 C10—C5—H5A
106.7
H21B—C21—
C5—C6—C7
111.6 (3)
C20—C21—H
C5—C6—H6A
109.3
H21B—C21—
C7—C6—H6A
109.3
H21C—C21—
C5—C6—H6B
109.3
O26—C22—O
C7—C6—H6B
109.3
O26—C22—C
H6A—C6—H6B
108.0
O22—C22—C
C8—C7—C6
111.7 (3)
O26—C22—C
C8—C7—H7B
109.3
O22—C22—C
C6—C7—H7B
109.3
C20—C22—C
C8—C7—H7C
109.3
C22—O22—C
C6—C7—H7C
109.3
C32—C23—C
H7B—C7—H7C
107.9
C32—C23—C
C7—C8—C14
112.0 (3)
C24—C23—C
C7—C8—C9
111.5 (3)
C32—C23—H
C14—C8—C9
108.4 (3)
C24—C23—H
C7—C8—H8B
108.3
C22—C23—H
C14—C8—H8B
108.3
C25—C24—C
C9—C8—H8B
108.3
C25—C24—H
C11—C9—C8
111.1 (3)
C23—C24—H
C11—C9—C10
114.0 (3)
C25—C24—H
C8—C9—C10
112.2 (3)
C23—C24—H
C11—C9—H9B
106.3
H24C—C24—
C8—C9—H9B
106.3
C26—C25—C
C10—C9—H9B
106.3
C26—C25—C
C19—C10—C1
106.9 (3)
C24—C25—C
C19—C10—C5
109.4 (3)
C26—C25—H
C1—C10—C5
107.8 (3)
C24—C25—H
C19—C10—C9
110.5 (3)
C27—C25—H
C1—C10—C9
111.8 (3)
O26—C26—C
C5—C10—C9
110.2 (3)
O26—C26—H
C9—C11—C12
113.8 (3)
C25—C26—H
C9—C11—H11B
108.8
O26—C26—H
C12—C11—H11B
108.8
C25—C26—H
C9—C11—H11C
108.8
H26D—C26—
C12—C11—H11C
108.8
C22—O26—C
H11B—C11—H11C
107.7
C25—C27—H
C13—C12—C11
111.9 (3)
C25—C27—H
C13—C12—H12A
109.2
H27C—C27—
C11—C12—H12A
109.2
C25—C27—H
C13—C12—H12B
109.2
H27C—C27—
C11—C12—H12B
109.2
H27D—C27—
H12A—C12—H12B
107.9
C29—O28—C
C12—C13—C18
110.3 (3)
O30—C29—O
C12—C13—C14
108.0 (3)
O30—C29—C
C18—C13—C14
112.1 (3)
O28—C29—C
C12—C13—C17
114.8 (3)
C29—C31—H
C18—C13—C17
111.7 (3)
C29—C31—H
C14—C13—C17
99.5 (2)
H31B—C31— sup-8 supplementary materials supplementary materials su
120.3 (3)
C29—C31—H31D
109.5
103.8 (2)
H31B—C31—H31D
109.5
114.1 (3)
H31C—C31—H31D
109.5
105.8
C23—C32—C33
122.0 (3)
105.8
N34—C32—C23
111.6 (3)
105.8
N34—C32—C33
126.3 (3)
101.9 (3)
C32—C33—H33A
109.5
111.4
C32—C33—H33B
109.5
111.4
H33A—C33—H33B
109.5
111.4
C32—C33—H33C
109.5
111.4
H33A—C33—H33C
109.5
109.2
H33B—C33—H33C
109.5
112.6 (3)
C32—N34—O35
109.0 (4)
105.5 (2)
C32—N34—H34
132.0 (16)
107.7 (3)
O35—N34—H34
118.6 (16)
54.0 (4)
O22—C16—C17—C20
19.0 (3)
62.8 (4)
C15—C16—C17—C20
139.4 (3)
−53.0 (4)
O22—C16—C17—C13
−109.5 (3)
−63.8 (4)
C15—C16—C17—C13
10.9 (3)
54.2 (4)
C12—C13—C17—C20
93.1 (4)
179.0 (3)
C18—C13—C17—C20
−33.5 (4)
−53.9 (4)
C14—C13—C17—C20
−151.9 (3)
72.1 (4)
C12—C13—C17—C16
−150.0 (3)
−55.8 (5)
C18—C13—C17—C16
83.4 (3)
56.3 (5)
C14—C13—C17—C16
−35.0 (3)
−177.0 (3)
C16—C17—C20—C21
129.4 (3)
−55.3 (4)
C13—C17—C20—C21
−113.5 (3)
−177.2 (3)
C16—C17—C20—C22
3.6 (3)
−53.4 (4)
C13—C17—C20—C22
120.6 (3)
53.9 (4)
C21—C20—C22—O26
−33.8 (4)
177.7 (3)
C17—C20—C22—O26
91.3 (3)
−168.4 (3)
C21—C20—C22—O22
−150.3 (3)
−50.8 (4)
C17—C20—C22—O22
−25.2 (3)
70.5 (4)
C21—C20—C22—C23
89.5 (4)
−68.2 (4)
C17—C20—C22—C23
−145.4 (3)
165.2 (3)
O26—C22—O22—C16
−75.4 (3)
175.9 (3)
C20—C22—O22—C16
38.8 (3)
49.3 (4)
C23—C22—O22—C16
163.8 (3)
53.5 (4)
C15—C16—O22—C22
−153.5 (3)
−73.0 (4)
C17—C16—O22—C22
−36.3 (3)
−58.8 (4)
O26—C22—C23—C32
−176.2 (3)
68.5 (4)
O22—C22—C23—C32
−55.8 (3)
60.1 (4)
C20—C22—C23—C32
62.6 (3)
−172.5 (3)
O26—C22—C23—C24
−49.7 (3)
−179.9 (3)
O22—C22—C23—C24
70.7 (3)
−52.5 (4)
C20—C22—C23—C24
−171.0 (3)
52.7 (4)
C32—C23—C24—C25
177.9 (3)
−179.3 (3)
C22—C23—C24—C25
51.2 (4)
−53.8 (4)
C23—C24—C25—C26
−54.9 (4) C15—C14—C8
120.3 (3)
C29—C31—H31D
C15—C14—C13
103.8 (2)
H31B—C31—H31D
C8—C14—C13
114.1 (3)
H31C—C31—H31D
C15—C14—H14B
105.8
C23—C32—C33
C8—C14—H14B
105.8
N34—C32—C23
C13—C14—H14B
105.8
N34—C32—C33
C14—C15—C16
101.9 (3)
C32—C33—H33A
C14—C15—H15B
111.4
C32—C33—H33B
C16—C15—H15B
111.4
H33A—C33—H33B
C14—C15—H15C
111.4
C32—C33—H33C
C16—C15—H15C
111.4
H33A—C33—H33C
H15B—C15—H15C
109.2
H33B—C33—H33C
O22—C16—C15
112.6 (3)
C32—N34—O35
O22—C16—C17
105.5 (2)
C32—N34—H34
C15—C16—C17
107.7 (3)
O35—N34—H34
C10—C1—C2—C3
54.0 (4)
O22—C16—C17—C20
C1—C2—C3—O28
62.8 (4)
C15—C16—C17—C20
C1—C2—C3—C4
−53.0 (4)
O22—C16—C17—C13
O28—C3—C4—C5
−63.8 (4)
C15—C16—C17—C13
C2—C3—C4—C5
54.2 (4)
C12—C13—C17—C20
C3—C4—C5—C6
179.0 (3)
C18—C13—C17—C20
C3—C4—C5—C10
−53.9 (4)
C14—C13—C17—C20
C4—C5—C6—C7
72.1 (4)
C12—C13—C17—C16
C10—C5—C6—C7
−55.8 (5)
C18—C13—C17—C16
C5—C6—C7—C8
56.3 (5)
C14—C13—C17—C16
C6—C7—C8—C14
−177.0 (3)
C16—C17—C20—C21
C6—C7—C8—C9
−55.3 (4)
C13—C17—C20—C21
C7—C8—C9—C11
−177.2 (3)
C16—C17—C20—C22
C14—C8—C9—C11
−53.4 (4)
C13—C17—C20—C22
C7—C8—C9—C10
53.9 (4)
C21—C20—C22—O26
C14—C8—C9—C10
177.7 (3)
C17—C20—C22—O26
C2—C1—C10—C19
−168.4 (3)
C21—C20—C22—O22
C2—C1—C10—C5
−50.8 (4)
C17—C20—C22—O22
C2—C1—C10—C9
70.5 (4)
C21—C20—C22—C23
C6—C5—C10—C19
−68.2 (4)
C17—C20—C22—C23
C4—C5—C10—C19
165.2 (3)
O26—C22—O22—C16
C6—C5—C10—C1
175.9 (3)
C20—C22—O22—C16
C4—C5—C10—C1
49.3 (4)
C23—C22—O22—C16
C6—C5—C10—C9
53.5 (4)
C15—C16—O22—C22
C4—C5—C10—C9
−73.0 (4)
C17—C16—O22—C22
C11—C9—C10—C19
−58.8 (4)
O26—C22—C23—C32
C8—C9—C10—C19
68.5 (4)
O22—C22—C23—C32
C11—C9—C10—C1
60.1 (4)
C20—C22—C23—C32
C8—C9—C10—C1
−172.5 (3)
O26—C22—C23—C24
C11—C9—C10—C5
−179.9 (3)
O22—C22—C23—C24
C8—C9—C10—C5
−52.5 (4)
C20—C22—C23—C24
C8—C9—C11—C12
52.7 (4)
C32—C23—C24—C25
C10—C9—C11—C12
−179.3 (3)
C22—C23—C24—C25
C9—C11—C12—C13
−53.8 (4)
C23—C24—C25—C26 sup-9 supplementary materials supplementary materials C11—C12—C13—C18
−68.7 (4)
C23—C24—C25—C27
69.6 (4)
C11—C12—C13—C14
54.1 (4)
C24—C25—C26—O26
59.4 (4)
C11—C12—C13—C17
164.1 (3)
C27—C25—C26—O26
−65.0 (4)
C7—C8—C14—C15
−53.3 (4)
O22—C22—O26—C26
−63.2 (3)
C9—C8—C14—C15
−176.8 (3)
C20—C22—O26—C26
−176.7 (3)
C7—C8—C14—C13
−177.7 (3)
C23—C22—O26—C26
56.4 (3)
C9—C8—C14—C13
58.9 (4)
C25—C26—O26—C22
−63.0 (4)
C12—C13—C14—C15
167.9 (3)
C4—C3—O28—C29
−154.6 (3)
C18—C13—C14—C15
−70.4 (3)
C2—C3—O28—C29
86.1 (4)
C17—C13—C14—C15
47.8 (3)
C3—O28—C29—O30
−0.2 (5)
C12—C13—C14—C8
−59.3 (4)
C3—O28—C29—C31
179.7 (3)
C18—C13—C14—C8
62.4 (4)
C24—C23—C32—N34
135.1 (3)
C17—C13—C14—C8
−179.4 (3)
C22—C23—C32—N34
−99.0 (3)
C8—C14—C15—C16
−170.4 (3)
C24—C23—C32—C33
−44.6 (4)
C13—C14—C15—C16
−41.2 (3)
C22—C23—C32—C33
81.3 (4)
C14—C15—C16—O22
134.1 (3)
C33—C32—N34—O35
0.2 (6)
C14—C15—C16—C17
18.3 (4)
C23—C32—N34—O35
−179.5 (3) sup-10 supplementary materials Fig. 1 sup-11
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English
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Artificial Reefs Reduce Morbidity and Mortality of Small Cultured Sea Cucumbers Apostichopus japonicus at High Temperature
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Journal of marine science and engineering
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cc-by
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Citation: Wang, H.; Wu, G.; Hu, F.;
Tian, R.; Ding, J.; Chang, Y.; Su, Y.;
Zhao, C. Artificial Reefs Reduce
Morbidity and Mortality of Small
Cultured Sea Cucumbers
Apostichopus japonicus at High
Temperature. J. Mar. Sci. Eng. 2023,
11, 948. https://doi.org/10.3390/
jmse11050948 Keywords: sea cucumbers; morbidity; mortality; artificial reef; high temperature Received: 8 March 2023
Revised: 23 April 2023
Accepted: 26 April 2023
Published: 28 April 2023 Journal of
Marine Science
and Engineering Journal of
Marine Science
and Engineering Journal of
Marine Science
and Engineering Journal of
Marine Science
and Engineering Journal of
Marine Science
and Engineering Article
Artificial Reefs Reduce Morbidity and Mortality of Small
Cultured Sea Cucumbers Apostichopus japonicus
at High Temperature n Wang †, Guo Wu †, Fangyuan Hu, Ruihuan Tian, Jun Ding
, Yaqing Chang, Yanming Su *
h
Zh
* Key Laboratory of Mariculture and Stock Enhancement in North China′s Sea, Ministry of Agriculture and Rural
Affairs, Dalian Ocean University, Dalian 116023, China Key Laboratory of Mariculture and Stock Enhancement in North China′s Sea, Ministry of Agriculture and Rural
Affairs, Dalian Ocean University, Dalian 116023, China
* Correspondence: suym@dlou.edu.cn (Y.S.); chongzhao@dlou.edu.cn (C.Z.)
† These authors contributed equally to this work. † These authors contributed equally to this work. Abstract: Summer mortality and morbidity are serious environment-related problems in cultured sea
cucumbers (Apostichopus japonicus). Air exposure probably worsens the impact of high temperature
on cultured sea cucumbers. In this present study, two laboratory experiments were designed to
investigate the effects of artificial reefs on mortality, morbidity, crawling, feeding, and adhesion
behaviors of small sea cucumbers (~1 g of wet body weight) after air exposure and disease outbreaks
at 25 ◦C, respectively. Significantly lower mortality and morbidity occurred in the group with artificial
reefs compared with those in the group without artificial reefs in the two experiments. This present
study found that the stressed sea cucumbers cultured inside artificial reefs showed a significantly
higher adhesion index, feeding behavior, and crawling frequency than those cultured without artificial
reefs. In disease challenge assays, small sea cucumbers cultured inside the artificial reefs showed a
significantly higher adhesion index and crawling frequency than those cultured without artificial
reefs at 25 ◦C. Feeding, crawling, and adhesion behaviors of sea cucumbers cultured outside artificial
reefs were not significantly different from those cultured without artificial reefs. The experimental
results indicate that sea cucumbers with good fitness-related behaviors may be less affected by
the disease and more likely to move into the crevices of artificial reefs. Fitness-related behaviors
were poor in sea cucumbers cultured outside artificial reefs, so we considered them as affected
individuals. Thus, artificial reefs provide a place to reduce the physical contact between unaffected
and diseased/affected individuals, showing a potential to reduce disease transmission. Our present
study establishes a cost-effective approach to increasing the survival of small sea cucumbers in seed
production at high temperatures. 1. Introduction The sea cucumber (Apostichopus japonicus) is popular internationally because of its
high nutritional and medicinal value [1]. High market demand stimulated the development
of sea cucumber aquaculture [2,3]. The annual production of sea cucumber aquaculture
was 222,707 tons in 2022 in China, which was 13.3% higher than that in 2021 [4]. Seed
production is a common process in aquaculture, in which small sea cucumbers (~1 g of
wet body weight) are intensively cultured in land-based factories until they reach the
size available for the following pond culture and stock enhancement [5]. During this
process, sea cucumbers are commonly challenged by high temperatures in summer [5]. Sea cucumbers are most suitable for survival in the temperature range between 10 and
21 ◦C, and the physiology and growth of sea cucumbers are greatly affected when water
temperature is higher than 23 ◦C [6,7]. High temperature (>25 ◦C) damages the immune
system and gut microbiota [6,7] and, consequently, causes mass mortality and morbidity Copyright:
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article
distributed
under
the
terms
and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/). https://www.mdpi.com/journal/jmse J. Mar. Sci. Eng. 2023, 11, 948. https://doi.org/10.3390/jmse11050948 J. Mar. Sci. Eng. 2023, 11, 948 2 of 12 of sea cucumbers in summer. It is very expensive to decrease the water temperature in
seed production in summer. Therefore, it is essential to establish a cost-effective method to
reduce the mortality and morbidity of sea cucumbers at high temperatures. y
y
g
p
Changing seawater and removing feces are necessary in seed production. Thus, sea
cucumbers are inevitably exposed to the air during this process. Air exposure leads to
tissue damage and complicated oxidative stress [8,9], which increases the risk of death
and disease in sea cucumbers [10]. Sea cucumbers are more severely affected when high
temperature and air exposure happen together [11], which is probably responsible for the
high mortality and morbidity of sea cucumbers in seed production in summer. In addition,
skin ulcer syndrome (SUS) is one of the most common and severe diseases that occur to
sea cucumbers in aquaculture, resulting in high mortality due to the high infectivity [12]. High temperature decreases the immunity of sea cucumbers and increases the transmission
of pathogenic bacteria [13]. Therefore, sea cucumbers are more susceptible to disease
in summer. Diseased sea cucumbers probably spread the disease to other individuals
and increase the frequency of disease outbreaks [14,15], resulting in mass mortality and
morbidity in aquaculture [16]. Therefore, it is of primary importance to reduce the mortality
and morbidity of sea cucumbers after air exposure and disease outbreaks. Although there is no obvious symptom (e.g., skin ulceration) in the early stages of
the disease, sea cucumbers show decreased feeding, movement, and adhesion [16,17]. Thus, fitness-related behaviors are helpful for determining whether sea cucumbers are
affected. Decreasing disease transmission is key to reducing mortality and morbidity
during the disease outbreak. Our previous study suggests that separation effectively
decreases the disease transmission of the sea urchin Strongylocentrotus intermedius [18]. However, it is costly and difficult to separate diseased/affected from unaffected individuals
in aquaculture. We attempted to reduce mortality and morbidity by reducing the frequency
that unaffected individuals have contact with diseased/affected ones [19]. Sea cucumbers
are naturally attracted to artificial reefs [20], and they hide into crevices formed by rocks
or reefs at high temperatures [21]. Diseased and affected individuals probably struggle
to move to crevices because of their poor movement ability [16]. Tian et al. [11] found
that artificial reefs improve fitness-related behaviors of stressed sea cucumbers at high
temperatures. It is necessary to explore the key role of artificial reefs, which is beneficial
to reduce the mortality and morbidity of sea cucumbers at high temperatures. Thus, we
hypothesized that artificial reefs reduce mortality and morbidity by reducing physical
contact between diseased/affected and unaffected sea cucumbers in seed production at
high temperatures. g
p
The main aim of the present study is to investigate whether artificial reefs improve
sea cucumber survival in summer, as detailed below: (1) whether artificial reefs reduce
the morbidity and mortality of sea cucumbers exposed to the air at high temperatures;
(2) whether artificial reefs reduce the morbidity and mortality of sea cucumbers under a
disease outbreak at high temperatures; and (3) whether artificial reefs improve the fitness-
related behaviors of sea cucumbers exposed to both air exposure and disease outbreak at
high temperatures. 2.2. Experiment I This experiment was carried out to investigate whether artificial reefs improve the
survival and fitness-related behaviors (crawling, feeding, and adhesion) of sea cucumbers
exposed to the air at 25 ◦C. The presence or absence of artificial reefs was the experimental
factor. An artificial reef (length × width × height: 50 mm × 60 mm × 55 mm, Figure 1A)
consists of seven plastic cylinders (diameter × length: 15 mm × 50 mm, Figure 1A), in which
only one sea cucumber is accessible. The plastic boxes (top length × bottom length × height:
20 cm × 16.5 cm × 14 cm) with and without artificial reefs were named group O and
group C, respectively (n = 6). Twelve plastics boxes were placed in two temperature-
controlled tanks (length × width × height: 115 cm × 75 cm × 60 cm) to maintain the water
temperature at 25 ◦C. Two groups of sixteen sea cucumbers (~1 g of wet body weight)
without ulcerated body walls were randomly selected and placed in each box with aeration
(Figure 1B). Groups C and O each had six parallel groups. Sea cucumbers in each box were
fed 5 g of a mixture of sea mud and commercial feed (Anyuan Industrial Co., Ltd. Yantai,
China) at a 1:4 ratio every day. Sand-filtered seawater was changed daily in plastic boxes. Sea cucumbers were exposed to the air for 30 min after the seawater was removed from
each box. Sea cucumbers were cultured in the above experimental conditions for 5 days. p
y
We identified the sea cucumber with ulcerated skin as a diseased individual (Figure 1D). The numbers of dead and diseased sea cucumbers in each group were counted after the
experiment. Sea cucumbers without ulcerated body walls (Figure 1D) were placed in
plastics boxes (top length × bottom length × height: 20 cm × 16.5 cm × 14 cm) in group C. Consistently, individuals without ulcerated body walls in group O were divided into
two groups, among which sea cucumbers in one group were inside the artificial reefs and
sea cucumbers in the other group were outside the artificial reefs. Then, the two groups
were placed in two different cubic plastic boxes (top length × bottom length × height:
20 cm × 16.5 cm × 14 cm). 2.1. Experimental Animals Small green A. japonicus (~1 g of wet body weight) were transported from Yinhaima
Aquatic Products Co., Ltd. (121◦54′ E, 39◦38′ N) to the Key Laboratory of Mariculture and
Stock Enhancement in the North China’s Sea and Ministry of Agriculture and Rural Affairs
at Dalian Ocean University (121◦56′ E, 38◦87′ N) on 2 March 2022. Small sea cucumbers
were cultured in fiberglass tanks (length × width × height: 115 cm × 75 cm × 60 cm) at
a density of 400 g/m2 [22,23] and with aeration. Water temperature was increased 1 ◦C
each day from 8 ◦C to 25 ◦C (ambient temperature) by using a temperature-controlled
system (Huixin Co., Dalian, China). Sea cucumbers were maintained at 25 ◦C for two weeks
to be acclimatized to the experimental conditions. Sand-filtered seawater was replaced J. Mar. Sci. Eng. 2023, 11, 948 3 of 12 3 of 12 every three days with feces and uneaten food removed. Salinity, pH, and dissolved oxygen
were tested weekly using a water quality detector (YSI Incorporated, Yellow Springs,
OH, USA). The results were 31.36 ± 0.19, 8.01 ± 0.03 and 9.34 ± 0.21 mg/L, respectively. Small sea cucumbers were fed ad libitum with sea mud and commercial feed (Anyuan
Industrial Co., Ltd., Yantai, China) at a ratio of 1:4 until the experiments started in April 2022. 2.4. Mortality and Morbidity Skin ulceration begins with one or more small white ulcerative spots, followed by
the appearance of deep and enlarging ulcerative lesions, resulting in the exposure of the
underlying muscles and spicules [24] (Figure 1D). Mortality and morbidity were calculated
as follows:
D Mt = De
T × 100%
Mb = Di
T × 100% Mt = De
T × 100% Mb = Di
T × 100% where Mt is the mortality, Mb is the morbidity, De is the number of dead sea cucumbers,
Di is the number of diseased sea cucumbers, and T is the total number of sea cucumbers. where Mt is the mortality, Mb is the morbidity, De is the number of dead sea cucumbers,
Di is the number of diseased sea cucumbers, and T is the total number of sea cucumbers. 2.3. Experiment II 2.3. Experiment II We further investigated whether artificial reefs improve the survival and fitness-
related behaviors (crawling, feeding, and adhesion) of sea cucumbers at 25 ◦C when disease
outbreaks. The same artificial reefs as experiment I were consistently used in experiment II. Sixteen sea cucumbers without ulcerated body walls were placed in each box (Figure 1C). Diseased sea cucumbers were subsequently put in to create a disease outbreak. The plastic
boxes (top length × bottom length × height: 20 cm × 16.5 cm × 14 cm) with and without
artificial reefs were named as group O and group C, respectively (n = 6). Twelve plastic
boxes (top length × bottom length × height: 20 cm × 16.5 cm × 14 cm) were placed in
two temperature-controlled tanks (length × width × height: 115 cm × 75 cm × 60 cm). Each group was daily fed ad libitum with 5 g of a mixture of sea mud and commercial feed
(Anyuan Industrial Co., Ltd., Yantai, China) at a 1:4 ratio. Sea cucumbers were cultured for
three days without the seawater replacement in the same experimental conditions. The numbers of dead and diseased sea cucumbers were counted after the experi-
ment. Consistently, we obtained three groups of sea cucumbers without ulcerated body
walls, which were the ones from group C, the ones inside the artificial reefs in group O
(group O—In), and the ones outside the artificial reefs in group O (group O—Out). Crawl-
ing, feeding, and adhesion behaviors of sea cucumbers were recorded following the same
procedures as described above for each group. 2.2. Experiment I Finally, we obtained three groups of sea cucumbers without ul-
cerated body walls, which were the ones from group C, the ones inside the artificial reefs in
group O (group O—In), and the ones outside the artificial reefs in group O (group O—Out). Three sea cucumbers were randomly selected from each of the three groups for the mea-
surement of fitness-related behaviors (feeding, crawling, and adhesion). Feeding behav-
ior and crawling behavior of the sea cucumbers were recorded using a digital camera
(FDR-AXP55, Shanghai Suoguang Electronics Co., Ltd., Shanghai, China) fixed above
the plastic cubic boxes (length × width × height: 60 mm × 47 mm × 45 mm) within
1 h. Adhesion behavior was measured in cubic plastic boxes (length × width × height:
180 mm × 140 mm × 45 mm) with 18 compartments. We repeated this experiment 6 times
using different sea cucumbers for each group (n = 6). 4 of 12
f 12 J. Mar. Sci. Eng. 2023, 11, 948
J. Mar. Sci. Eng. 2023, 11, 94 Figure 1. The diagrams show an artificial reef (A), the experiment designs for experiments I (B) an
II (C), diseased and individuals without ulcerated skin (D), adhesion behavior (E), feeding behavi
(F), and crawling behavior (G) of sea cucumbers. Figure 1. The diagrams show an artificial reef (A), the experiment designs for experiments I (B) and
II (C), diseased and individuals without ulcerated skin (D), adhesion behavior (E), feeding behavior
(F), and crawling behavior (G) of sea cucumbers. 5 of 12 J. Mar. Sci. Eng. 2023, 11, 948 2.5. Crawling Behavior Crawling behavior of sea cucumbers is composed of five stages (Figure 1G) [25]. A sea cucumber extends its body and then enters the contraction stage. The sea cu-
cumber contracts from the back of the body to the middle and front in sequence. Fi-
nally, it returns to a static state [25]. Sea cucumbers complete each crawling cycle as
described above, which is counted as one occurrence of crawling behavior. Sea cucum-
bers were randomly selected from each group and were placed into cubic plastic boxes
(length × width × height: 60 mm × 47 mm × 45 mm). Two grams of mixture of sea mud
and commercial feed at a ratio of 1:4 was put in the bottom of the box, and the number
of occurrences of crawling behavior was counted within 1 h by using a digital camera
(FDR-AXP55, Shanghai Suoguang Electronics Co., Ltd., Shanghai, China) (n = 6). 2.6. Feeding Behavior Feeding behavior refers to the process of sea cucumbers ingesting food through its
mouth tentacle activity [26]. Sea cucumbers stretch their tentacles out of their mouths, then
extend their tentacles to grab the food, and finally capture the food into their mouths by
contracting their tentacles [26]. One occurrence of tentacle activity was counted if sea cucum-
bers completed one tentacle activity cycle. Sea cucumbers were selected from each group
and placed into cubic plastic boxes (length × width × height: 60 mm × 47 mm × 45 mm;
Figure 1F). Two grams of mixture of sea mud and commercial feed at a ratio of 1:4 was
put in the bottom of the box, and the duration of tentacle activity of all sea cucumbers J. Mar. Sci. Eng. 2023, 11, 948 6 of 12 within one hour was recorded by using a digital camera (FDR-AXP55, Shanghai Suoguang
Electronics Co., Ltd., Shanghai, China) (n = 6). within one hour was recorded by using a digital camera (FDR-AXP55, Shanghai Suoguang
Electronics Co., Ltd., Shanghai, China) (n = 6). 2.7. Adhesion Behavior Movement and ingestion of sea cucumbers greatly relies on the adhesion of mouth
tentacles and tube feet. Adhesion behavior was measured according to Tian et al. [11]. Eighteen sea cucumbers from each group were randomly selected and placed in cubic
devices (length × width × height: 180 mm × 140 mm × 45 mm; Figure 1E) with eighteen
compartments. Each sea cucumber was placed in one compartment. Seawater was added
to the devices until the seawater level reached a height of 2 cm. The devices were slowly
turned to 180◦after 10 min. We recorded the time that sea cucumbers fell from the top of
the devices, since their adhesion abilities were disabled to support their body weight. The
adhesion time was recorded as 600 s if sea cucumbers still adhered to the top of the box after
10 min. Wet body weight (g) of each sea cucumber was measured by using an electronic
balance (G & G Co., San Diego, CA, USA) after the recording (n = 6). Data are accurate to
one decimal place. Adhesion index (Ai) was formulated, as described by Tian et al. [11]: Ai = T
W where Ai is the adhesion index, T is the adhesion time (s), and W is the wet weight of an
individual sea cucumber (g). 2.8. Statistical Analysis All data were subjected to the analysis of variance distribution and homogeneity
of variance using the Kolmogorov–Smirnov test and the Levene test, respectively. The
mortality and morbidity of experiments I and II were non-normally distributed and/or
heterogeneity of variance. Thus, the data were compared by using the Mann–Whitney U
test. Crawling frequency, tentacle activity frequency, and the adhesion index were analyzed
by using Kruskal–Wallis H in both experiments. All statistical analyses were performed
using SPSS 22.0 statistical software. The level of significance was considered as p < 0.05. 3. Results 3.1. Experiment I 3.1.1. Mortality and Morbidity 3.1.2. Crawling Frequency
3.1.2. Crawling Frequency
There was no significan There was no significant difference in crawling frequency between sea cucumbers
of group C (4.44 ± 0.88 times) and individuals outside the artificial reef of group O
(3.22 ± 0.50 times; Kruskal–Wallis H = 14.332, p = 1.000; Figure 3A). Crawling frequency
was significantly higher in sea cucumbers inside the artificial reefs of group O
(10.83 ± 1.52 times) than that in sea cucumbers outside the artificial reefs of group O
(Kruskal–Wallis H = 14.332, p = 0.001) and group C (Kruskal–Wallis H = 14.332, p = 0.008;
Figure 3A). There was no significant difference in crawling frequency between sea cucumbers of
group C (4.44 ± 0.88 times) and individuals outside the artificial reef of group O (3.22 ±
0.50 times; Kruskal–Wallis H = 14.332, p = 1.000; Figure 3A). Crawling frequency was sig-
nificantly higher in sea cucumbers inside the artificial reefs of group O (10.83 ± 1.52 times)
than that in sea cucumbers outside the artificial reefs of group O (Kruskal–Wallis H =
14.332, p = 0.001) and group C (Kruskal–Wallis H = 14.332, p = 0.008; Figure 3A). Figure 3. Crawling frequency (A), tentacles activity frequency (B) and adhesion behavior (C) of sea
cucumbers. The asterisks *, **, *** mean p < 0.05, p < 0.01 and p < 0.001, respectively (mean ± SE, n =
6). Group C: sea cucumbers without artificial reefs in group C; Group O-Out: sea cucumbers outside
the artificial reefs in group O; Group O-In: sea cucumbers inside the artificial reefs in group O. Figure 3. Crawling frequency (A), tentacles activity frequency (B) and adhesion behavior (C) of sea
cucumbers. The asterisks *, **, *** mean p < 0.05, p < 0.01 and p < 0.001, respectively (mean ± SE,
n = 6). Group C: sea cucumbers without artificial reefs in group C; Group O-Out: sea cucumbers
outside the artificial reefs in group O; Group O-In: sea cucumbers inside the artificial reefs in group O. 3.1.3. Feeding Behavior Figure 3. Crawling frequency (A), tentacles activity frequency (B) and adhesion behavior (C) of sea
ucumbers. The asterisks *, **, *** mean p < 0.05, p < 0.01 and p < 0.001, respectively (mean ± SE, n =
). Group C: sea cucumbers without artificial reefs in group C; Group O-Out: sea cucumbers outside
Figure 3. Crawling frequency (A), tentacles activity frequency (B) and adhesion behavior (C) of sea
cucumbers. the artificial reefs in group O
3.1.3. Feeding Behavior There was no significant difference in tentacle activity frequency between sea cu-
cumbers of group C (10.44 ± 3.51 times) and individuals outside the artificial reefs of
group O (8.50 ± 1.87 times; Kruskal–Wallis H = 7.705, p = 1.000; Figure 3B). Consistently,
tentacle activity frequency was not significantly different between sea cucumbers out-
side (8.50 ± 1.87 times) and inside (18.72 ± 3.26 times) the artificial reefs (Kruskal–Wallis
H = 7.705, p = 0.067; Figure 3B). Tentacle activity frequency was significantly higher in
sea cucumbers inside the artificial reefs in group O than that in individuals of group C
(Kruskal–Wallis H = 7.705, p = 0.036; Figure 3B). 3.1.2. Crawling Frequency
3.1.2. Crawling Frequency
There was no significan The asterisks *, **, *** mean p < 0.05, p < 0.01 and p < 0.001, respectively (mean ± SE,
n = 6). Group C: sea cucumbers without artificial reefs in group C; Group O-Out: sea cucumbers
outside the artificial reefs in group O; Group O-In: sea cucumbers inside the artificial reefs in group O. 3.1.4. Adhesion Behavior The adhesion index was not significantly different between sea cucumbers outside the
artificial reefs of group O (16.66 ± 5.50) and individuals of group C (9.75 ± 6.28; Kruskal–
Wallis H = 0.561, p = 0.065; Figure 3C). Consistently, the adhesion index was not significantly
different in sea cucumbers outside and inside the artificial reefs (283.62 ± 61.4) in group
O (Kruskal–Wallis H = 0.561, p = 0.076; Figure 3C). However, sea cucumbers inside the
artificial reefs of group O showed significantly higher adhesion index than individuals of
group C (Kruskal–Wallis H = 0.561, p < 0.001; Figure 3C). 3.2. Experiment II 3.2.1. Mortality and Morbidity 3.2.1. Mortality and Morbidity 3.1.1. Mortality and Morbidity Mortality was significantly higher in group C (43.06 ± 2.56%) than that in group O
(5.56 ± 4.12%; Mann–Whitney U = 2.961, p = 0.003; Figure 2A). Consistently, group C
showed significantly higher morbidity (48.61 ± 1.39%) than group O (6.94 ± 3.98%; Mann–
Whitney U = 3.017, p = 0.003; Figure 2B). 7 of 12 igure 2. Mortality (A) and morbidity (B) of sea cucumbers between groups C and O. The asterisks
* mean p < 0.01 (mean ± SE, n = 6). Group C: sea cucumbers without artificial reefs; Group O: sea
ucumbers with artificial reefs. Figure 2. Mortality (A) and morbidity (B) of sea cucumbers between groups C and O. The asterisks
** mean p < 0.01 (mean ± SE, n = 6). Group C: sea cucumbers without artificial reefs; Group O: sea
cucumbers with artificial reefs. gure 2. Mortality (A) and morbidity (B) of sea cucumbers between groups C and O. The asterisks
mean p < 0.01 (mean ± SE, n = 6). Group C: sea cucumbers without artificial reefs; Group O: sea
cumbers with artificial reefs. Figure 2. Mortality (A) and morbidity (B) of sea cucumbers between groups C and O. The asterisks
** mean p < 0.01 (mean ± SE, n = 6). Group C: sea cucumbers without artificial reefs; Group O: sea
cucumbers with artificial reefs. igure 2. Mortality (A) and morbidity (B) of sea cucumbers between groups C and O. The asterisks
mean p < 0.01 (mean ± SE, n = 6). Group C: sea cucumbers without artificial reefs; Group O: sea
ucumbers with artificial reefs. Figure 2. Mortality (A) and morbidity (B) of sea cucumbers between groups C and O. The asterisks
** mean p < 0.01 (mean ± SE, n = 6). Group C: sea cucumbers without artificial reefs; Group O: sea
cucumbers with artificial reefs. J. Mar. Sci. Eng. 2023, 11, 948 7 of 12
up O: sea 7 of 12
up O: sea 3.1.2. Crawling Frequency
3.1.2. Crawling Frequency
There was no significan 3.1.2. Crawling Frequency
3.1.2. Crawling Frequency
There was no significan ucumbers with artificial reefs.
3.2.2. Crawling Frequency 2.2. Crawling Frequency
There was no significant difference in crawling frequency between sea cucumbers of
roup C (1.67 ± 0.35 times) and individuals outside the artificial reefs in group O (2.56 ±
56 times; Kruskal–Wallis H = 6.908, p = 0.762; Figure 5A). Consistently, crawling frequen-
es of sea cucumbers outside (2.56 ± 0.56 times) and inside (3.67 ± 0.60 times) the artificial
eefs in group O (Kruskal–Wallis H = 6.908, p = 0.417; Figure 5A) were not significantly
There was no significant difference in crawling frequency between sea cucumbers
of group C (1.67 ± 0.35 times) and individuals outside the artificial reefs in group O
(2.56 ± 0.56 times; Kruskal–Wallis H = 6.908, p = 0.762; Figure 5A). Consistently, crawling
frequencies of sea cucumbers outside (2.56 ± 0.56 times) and inside (3.67 ± 0.60 times)
the artificial reefs in group O (Kruskal–Wallis H = 6.908, p = 0.417; Figure 5A) were not
significantly different in the experiments. Significantly higher crawling frequency occurred
in sea cucumbers inside the artificial reefs in group O than individuals in group C (Kruskal–
Wallis H = 6.908, p = 0.026; Figure 5A). 9 of 12
different in the experiments. Significantly higher crawling frequency occurred in sea cu-
cumbers inside the artificial reefs in group O than individuals in group C (Kruskal–Wallis
H = 6.908, p = 0.026; Figure 5A). Figure 5. Crawling frequency (A), tentacle activity frequency (B), and adhesion behavior (C) of sea
cucumbers. The asterisks *, ** mean p < 0.05 and p < 0.01, respectively (mean ± SE, n = 6). Group C:
sea cucumbers without the artificial reefs in group C; Group O-Out: sea cucumbers outside the ar-
tificial reefs in group O; Group O-In: sea cucumbers inside the artificial reefs in group O
Figure 5. Crawling frequency (A), tentacle activity frequency (B), and adhesion behavior (C) of sea
cucumbers. The asterisks *, ** mean p < 0.05 and p < 0.01, respectively (mean ± SE, n = 6). Group C:
sea cucumbers without the artificial reefs in group C; Group O-Out: sea cucumbers outside the
artificial reefs in group O; Group O-In: sea cucumbers inside the artificial reefs in group O. Figure 5. Crawling frequency (A), tentacle activity frequency (B), and adhesion behavior (C) of sea
cucumbers. The asterisks *, ** mean p < 0.05 and p < 0.01, respectively (mean ± SE, n = 6). ucumbers with artificial reefs.
3.2.2. Crawling Frequency Group C:
sea cucumbers without the artificial reefs in group C; Group O-Out: sea cucumbers outside the ar-
Figure 5. Crawling frequency (A), tentacle activity frequency (B), and adhesion behavior (C) of sea
cucumbers. The asterisks *, ** mean p < 0.05 and p < 0.01, respectively (mean ± SE, n = 6). Group C:
sea cucumbers without the artificial reefs in group C; Group O-Out: sea cucumbers outside the
artificial reefs in group O; Group O-In: sea cucumbers inside the artificial reefs in group O. 3.2.1. Mortality and Morbidity Mortality was significantly higher in group C (30.56 ± 3.51%) than that in group O
(4.17 ± 2.84%; Mann–Whitney U =2.879 p = 0.004; Figure 4A). Morbidity was significantly
higher in group C (43.06 ± 2.56%) than that in group O (6.94 ± 4.52%; Mann–Whitney
U =2.961, p = 0.003; Figure 4B). J. Mar. Sci. Eng. 2023, 11, 948 8 of 12 Figure 4. Mortality (A) and morbidity (B) of sea cucumbers between groups C and O. The asterisks
* mean p < 0.01 (mean ± SE, n = 6). Group C: sea cucumbers without artificial reefs; Group O: sea
ucumbers with artificial reefs
Figure 4. Mortality (A) and morbidity (B) of sea cucumbers between groups C and O. The asterisks
** mean p < 0.01 (mean ± SE, n = 6). Group C: sea cucumbers without artificial reefs; Group O: sea
cucumbers with artificial reefs. gure 4. Mortality (A) and morbidity (B) of sea cucumbers between groups C and O. The asterisks
mean p < 0.01 (mean ± SE, n = 6). Group C: sea cucumbers without artificial reefs; Group O: sea
b
i h
ifii l
f
Figure 4. Mortality (A) and morbidity (B) of sea cucumbers between groups C and O. The asterisks
** mean p < 0.01 (mean ± SE, n = 6). Group C: sea cucumbers without artificial reefs; Group O: sea
cucumbers with artificial reefs. 4. Discussion The survival of sea cucumbers is constrained by high temperatures. A temperature of
25 ◦C is the threshold for severe heat stress in sea cucumbers, leading to a significantly in-
creased risk of death and disease in sea cucumbers [6]. Air exposure is unavoidable in seed
production, which not only causes mechanical damage [27] but also disrupts the immune
system of sea cucumbers [9]. Furthermore, our previous study found that the negative
effects of air exposure and high temperature on sea cucumbers were synergistic [11]. This
present study found that artificial reefs significantly reduced mortality and morbidity of
sea cucumbers exposed to the air at 25 ◦C. Specifically, in such conditions, the morbidity
and mortality of sea cucumbers not cultured in artificial reefs were 7-fold and 8-fold the
morbidity and mortality of those cultured in artificial reefs, respectively. This suggests that
artificial reefs are an effective approach to improving the survival of sea cucumbers under
the combined stress of high temperature and air exposure. Fitness-related behavior is a
common indicator for evaluating the condition of sea cucumbers. The typical characteristics
of sea cucumbers in poor conditions are anorexia, decreased adhesion capacity, and poor
movements ability [17]. Tian et al. [11] found that artificial reefs improved fitness-related
behaviors of sea cucumbers after they were exposed to high temperatures and the air. However, it is unknown how artificial reefs improve fitness-related behaviors. This present
study found that sea cucumbers cultured inside the artificial reefs had significantly better
feeding, crawling, and adhesion behaviors than those cultured without artificial reefs. Sea cucumbers exposed to the air and/or high temperatures reduce feeding or even stop
feeding behavior [11,27,28]. Sea cucumbers cultured inside artificial reefs may acquire
more energy by frequent feeding [28] and, consequently, may better cope with combined
stressors. The adhesion of the tube feet of sea cucumbers affects the subsequent movement
such as crawling behavior [29]. It is important to note that the fitness-related behaviors
(feeding, crawling, and adhesion behaviors) of sea cucumbers cultured outside artificial
reefs are not significantly different from those of sea cucumbers without artificial reefs. This
suggests that the condition of the sea cucumbers inside the artificial reefs is better under
the combined stressors. Therefore, artificial reef improves the survival and fitness-related
behaviors of sea cucumbers after they are exposed to high temperatures and the air, thereby
increasing the survival rate. 3.2.4. Adhesion Behavior 3.2.4. Adhesion Behavior The adhesion index was significantly higher in sea cucumbers inside the artificial
reefs of group O (206.44 ± 47.12) than that in the individuals of group C (11.41 ± 5.37;
Kruskal–Wallis H = 13.007, p = 0.001; Figure 5C). The adhesion index of sea cucumbers
of group C (11.41 ± 5.37) was not significantly different from that of those outside the
artificial reefs in group O (105.28 ± 28.26) (Kruskal–Wallis H = 13.007, p = 0.053; Figure 5C). Consistently, no significant difference was found in the adhesion indexes between sea
cucumbers outside and inside the artificial reefs in group O (Kruskal–Wallis H = 13.007,
p = 0.732; Figure 5C). tificial reefs in group O; Gro
3.2.3. Feeding Behavior 3.2.3. Feeding Behavior
There was no significant difference in feeding behavior of sea cucumbers cultured
inside artificial reefs of group O, outside artificial reefs of group O, and in group C (p >
There was no significant difference in feeding behavior of sea cucumbers cultured
inside artificial reefs of group O, outside artificial reefs of group O, and in group C (p > 0.05;
Figure 5B). 9 of 12 J. Mar. Sci. Eng. 2023, 11, 948 4. Discussion Skin ulcer syndrome is one of the common diseases with high infectivity and high
mortality in seed production of sea cucumbers [17]. High temperatures reduce the im-
munity and disease resistance of sea cucumbers [30,31] and, thus, greatly increases the
possibility of infection. The present study found that artificial reefs significantly reduced the
mortality and morbidity of sea cucumbers during disease outbreaks at high temperatures. Specifically, during disease outbreaks at high temperatures, the morbidity and mortality
of sea cucumbers not cultured in artificial reefs were 6-fold and 7-fold the morbidity and
mortality of those cultured in artificial reefs. This suggests that artificial reefs improve the
survival in disease environments and probably affect the spread of skin ulcer syndrome. In
disease challenge assays, sea cucumbers cultured inside artificial reefs had significantly
better adhesion and crawling behaviors, while there was no significant difference in the
fitness-related behaviors between the sea cucumbers cultured outside and without arti-
ficial reefs. Decreased adhesion and movement ability are the symptoms of skin ulcer J. Mar. Sci. Eng. 2023, 11, 948 10 of 12 10 of 12 syndrome [17]. Hence, we speculated that sea cucumbers cultured outside and without
artificial reefs were more affected by diseased sea cucumbers, although their skins were not
ulcerated. Chemosensory cues are important for a variety of fundamental behavioral pro-
cesses [32,33]. Lobsters use chemical cues from diseased individuals to determine whether
the shelter is safe, and healthy lobsters rarely share the shelters with diseased lobsters [34]. Diseased sea cucumbers emit certain chemical cues for warning [33,35]. Sea cucumbers
show escaping behavior after receiving alarm cues from diseased individuals [35,36]. Arti-
ficial reefs are possible places for escape due to their attraction to sea cucumbers [20,37]. Frequent physical contact with diseased individuals increases the probability of disease
transmission [19]. Diseased sea cucumbers probably release chemical cues that promote the
escape of individuals with strong movement to the crevices of artificial reefs. In the limited
space, sea cucumbers that did not enter the reef inevitably contacted with diseased individ-
uals, which increased the extent to which they were affected. In the present study, each
crevice is accessible to only one sea cucumber. Sea cucumbers cultured with artificial reefs
probably showed less contact with diseased and affected individuals after staying in porous
artificial reefs, which reduced the extent of the affection. 4. Discussion Seed production is an intensive
aquaculture mode, and isolation of diseased sea cucumbers is expensive. Therefore, the
artificial reef is a cost-effective approach to increasing the possibility of the survival of sea
cucumbers by reducing the frequency of contact with diseased and affected individuals in
seed production. Notably, our experiment is based on a laboratory experiment. Therefore,
conducting a further field experiment is necessary. g
p
y
In conclusion, we encourage aqua-farmers to use artificial reefs to decrease disease
transmission and, thus, reduce the mortality and morbidity of small sea cucumbers in seed
production at high temperatures. The present novel finding provides valuable insights into
the improved management for the seed production of sea cucumbers in summer. Author Contributions: Conceptualization, H.W., C.Z. and Y.S.; methodology, H.W., G.W., J.D. and
C.Z.; software, H.W. and G.W.; validation, H.W., G.W., F.H. and R.T.; formal analysis, H.W., G.W. and F.H.; investigation, H.W., G.W. and R.T.; data curation, H.W. and G.W.; writing—original
draft preparation, H.W. and G.W.; writing—review and editing, C.Z. and Y.S.; visualization, H.W.;
supervision, C.Z., Y.S., J.D. and Y.C.; project administration, C.Z. and Y.S.; funding acquisition, C.Z.,
J.D., Y.S. and Y.C. All authors have read and agreed to the published version of the manuscript. Funding: This research was funded by the National Natural Science Foundation of Liaoning Province
(2022-MS-352), High-level talent support grant for innovation in Dalian (2020RD03), Modern Fisheries
Technology Mission in Changhai, Liaoning (2022JH5/10400015) and Liaoning Province “Xingliao
Talents Plan” project (XLYC2002107). 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: The data presented in this study is available on request from the
corresponding authors. Acknowledgments: We appreciate Wei Tang for her editorial suggestions. We thank Mingfang Yang,
Xiaomei Chi, Yushi Yu, and Xiang Li for their assistance in this experiment. Acknowledgments: We appreciate Wei Tang for her editorial suggestions. We thank Mingfang Yang,
Xiaomei Chi, Yushi Yu, and Xiang Li for their assistance in this experiment. Conflicts of Interest: The authors declare no conflict of interest. 3.
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24, 101–121. [CrossRef] 37. Cui, Y.; Guan, C.; Wang, R.; Tan, J.; Huang, B.; Li, J. The study of attractive effects of artificial reef models on Apostichopus japonicas. Prog. Mater. Sci. 2010, 31, 109–113. (In Chinese with an English Abstract) 37. Cui, Y.; Guan, C.; Wang, R.; Tan, J.; Huang, B.; Li, J. References The study of attractive effects of artificial reef models on Apostichopus japonicas. Prog. Mater. Sci. 2010, 31, 109–113. (In Chinese with an English Abstract) 37. Cui, Y.; Guan, C.; Wang, R.; Tan, J.; Huang, B.; Li, J. The study of attractive effects of artificial reef models on Apostichopus japonicas. Prog. Mater. Sci. 2010, 31, 109–113. (In Chinese with an English Abstract) Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual
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Tuning surface properties of corn stover through ammonium and sodium sulfite (ASS) pretreatment for enhanced enzymatic hydrolysis
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Tuning surface properties of corn stover through
ammonium and sodium sulfite (ASS) pretreatment
for enhanced enzymatic hydrolysis
Xiangxue Chen
Nanjing University of Science and Technology
Shizhong Yang
Nanjing University of Science and Technology
Shuiping Ouyang
Jiaxing Nanhu University
Xinchuan Yuan
Nanjing University of Science and Technology
Junlin Song
Nanjing University of Science and Technology
Shuai Ding
Nanjing University of Science and Technology
Yuanyuan Sha ( shayuanyuan@njust.edu.cn )
Nanjing University of Science and Technology
Rui Zhai
Nanjing University of Science and Technology
Research Article
Keywords: Lignocellulosic biomass, Ammonium sodium sulfite, Sulfonation, Low enzyme loading,
Enzymatic hydrolysis
Posted Date: January 31st, 2024
DOI: https://doi.org/10.21203/rs.3.rs-3895501/v1
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Read Full License
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Abstract
The ammonia fiber expansion (AFEX) pretreatment of lignocellulosic biomass offers a significant
advantage in terms of obtaining high glucan conversion, with the added benefit of ammonia being fully
recyclable. However, despite the high efficiency of AFEX in pretreating lignocellulose, relatively high
enzyme loading is still required for effective cellulose conversions. In this study, we have updated the
AFEX pretreatment method by supplementing additional sodium sulfite (ASS), which can be used to
produce a more digestible substrate. The results demonstrate that ASS-pretreated corn stover (CS) yields
a higher fermentable sugar yield compared with AFEX pretreatment, even at lower enzyme loadings.
Specifically, at an enzyme loading of 12 mg protein/g glucan, ASS-CS achieved 88.8% glucose and 80.6%
xylose yield. Characterization analysis reveals that lignin underwent sulfonation during ASS pretreatment.
This modification results in a more negative zeta potential for ASS-CS, indicating a reduction in
nonproductive adsorption between lignin and cellulase through increased electrostatic repulsion.
Introduction
Economic growth and industrial development have led to a rise in the consumption of fossil fuels. The
increased consumption of fossil fuels aggravates environmental problems throughout the world
including air pollution and global warming. Lignocellulosic biomass attracts global attention as a
sustainable alternative to fossil carbon resources to produce biobased chemicals (e.g. bioethanol) [1, 2].
The lignocellulose biomass mainly includes agricultural waste and forestry waste, such as corn stover,
etc. Corn stover contains cellulose, hemicellulose and lignin. The three components are associated with
each other via chemical or physical bonds to form a recalcitrant structure that limits the enzymatic
hydrolysis of cellulose and hemicellulose to produce ethanol [1]. It has been reported that lignin is the
major factor limiting enzymatic hydrolysis of cellulose as a steric hindrance while nonproductively
absorbing cellulase, resulting in the loss of enzyme activity. In addition, lignin adsorbs enzymes to reduce
the adsorption possibility of enzymes on cellulose and hemicellulose [3].
To minimize the inhibitory effect of lignin and improve the conversion of enzymatic hydrolysis,
pretreatment can remove or modify lignin and destroy the lignocellulose spatial network structure of
lignin, hemicellulose and cellulose to improve the cellulose and hemicellulose accessibility to the enzyme.
Many pretreatment methods such as biological, physical and chemical treatments have been developed
[4]. AFEX pretreatment is a feasible and effective mild alkaline pretreatment method and minimal
inhibitory degradation products are generated during pretreatment [5]. AFEX pretreatment changed the
structure and molecular characteristics of the biomass without generating soluble fractions from the
biomass, resulting in a near-complete solid recovery. After AFEX pretreatment, the ammonia could be
recovered and recycled.
To further improve the digestibility of AFEX pretreated corn stover and reduce the amount of enzyme
protein during enzymatic hydrolysis of AFEX pretreated corn stover, sodium sulfite can be used to further
improve the effectiveness of AFEX pretreatment by modification of lignin properties. It has been reported
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that the sodium sulfite pretreatment can remove and modify lignin without degradation of hemicelluloses
and cellulose, resulting in more accessible substrates [6]. During sodium sulfite pretreatment, the lignin in
the biomass undergoes sulfonation, resulting in sulfonated lignin that contains a significant amount of
hydrophilic groups, such as sulfonic acid groups [7]. This reduces the negative impact of lignin on the
enzyme.
This study investigated the influence of ammonia and sodium sulfite (ASS) pretreatment on corn stover
properties and explored the impact of varying enzyme loadings on glucan and xylan conversion in ASSCS. Furthermore, to confirm lignin sulfonation after ASS pretreatment, the chemical and physical
characteristics of treated biomass samples were analyzed using Fourier-transform infrared spectroscopy
(FT-IR), scanning electron microscopy (SEM), conductometric titration, and zeta potential measurement.
Materials and methods
2.1Biomass and enzyme
Air-dried CS and poplar used in this study were harvested in 2018 at Lianyungang, Jiangsu province,
China. The CS and poplar were knife milled using a laboratory mill with a 4 mm particle size interior sieve.
Then, the biomass was stored in plastic containers at 4 ºC for further study. Liquid ammonia was
purchased from Nanjing Wenda Special Gas Co., Ltd, China. CTec2 (Novozymes) was purchased from
Sigma-Aldrich (Shanghai Warehouse, China). The average protein concentration of these enzymes, as
determined by BCA was: 87.31mg/mL (Ctec2). All chemical reagents were purchased from the local
company [8].
2.2. Biomass pretreatment
The sodium sulfite with 10% (wt/wt, dry CS or poplar) was prepared [9]. For each test, the CS was
homogeneously mixed with an aqueous solution of sodium sulfite, the moisture content was 60% (wt/wt)
of dry CS weight. In the case of ASS pretreatment, the heat generated by the exothermic reaction of
ammonia and sodium sulfite aqueous solution was used to reach 120°C and 30 minutes, of which 1:1
anhydrous ammonia loads CS into a bench-top stainless steel batch reactor. It took 30 minutes for the
reactor to reach 120°C and the reactor maintained temperature for a certain time, then the ammonia was
rapidly released, which immediately brought the biomass to room temperature. The residual sodium
sulfite was removed and pretreated biomass material was recovered with 500 mL water. AFEX
pretreatment in this work was performed in a reactor. AFEX pretreatment conditions were 120 ºC for 30
min at 60% (wt/wt) moisture with the ratio of anhydrous ammonia to biomass (dry weight) equal to 1:1.
After the treatment, the pretreated biomass was placed in a fume hood to remove residual ammonia, then
was washed with the addition of 500 ml deionized water [8, 10].
2.3 Enzymatic hydrolysis
The washed solid streams from AFEX and ASS pretreated CS or poplar were hydrolyzed at 3% w/w
glucan loading in a baffled shake flask. For ASS-CS and AFEX-CS, 4, 8, 12 and 16 mg protein/ g glucan of
Page 3/19
CTec 2 were added into the baffled shake flask. For ASS-poplar and AFEX-poplar, 16 mg protein/ g glucan
of CTec 2 was added into the baffled shake flask. Hydrolysis was performed for 3 days at pH 4.8, 50 ºC
and 250 rpm. Samples were taken at different times and the sugar concentrations were measured by
HPLC [11].
2.4 Measuring protein concentration in liquid streams after
enzymatic hydrolysis
The protein concentration in liquid streams after enzymatic hydrolysis was determined by the previously
reported method [12].
2.5 Analysis methods
Biomass composition was analyzed according to NREL methods and our previous studies [13]. The
concentrations of glucose, xylose and ethanol were determined using a Shimadzu HPLC system equipped
with an Aminex HPX-87H column maintained at 60°C and a Shimadzu refractive index detector (RID).
Sulfuric acid (5 mM) was used as an eluent at 0.6 mL/min and the injection volume was 15 µL [14].
The Fourier transform infrared (FTIR) spectra of samples were obtained ([15]. Twenty scans for each
sample were taken with a resolution of 2 cm− 1 ranging from 400 to 4000 cm− 1. The sample was
prepared using the method of agate mortar crush before scanning [16].
Zeta potential measurement was performed to determine the charge sign of pretreated CS by Zetasizer
instrument (ZS90, Malvern Instruments Ltd). 0.0025 g, 0.005 g and 0.010 g of ASS and AFEX pretreated
CS were added to 10 ml of deionized water. Before measuring, the samples were incubated in ultrasonic
dispersing for 4 h at a pH of 4.8. The measurements were repeated three times [17].
The surface of ASS and AFEX pretreated CS and native CS was analyzed via field emission scanning
electron microscopy (SEM, FEI Quanta 250 FEG) and operated at 5.0 kV. Before SEM, these samples were
coated with a thin gold layer (50 nm) using Q150T Sputter Coater (Quorum Technologies, USA).
Potentiometric and conductometric titrations of ASS-CS and AFEX-CS were performed according to the
methodology described by Fourest et al [18]. 200 mg of native and pretreated CS converted to hydrogen
form with 0.1 mol/L hydrochloric acid, then washed with water and dispersed in 100 mL of 1 mmol/L
sodium chloride solution. Titration was performed through stepwise addition of 0.1 mol/L sodium
hydroxide [19].
Results and discussion
3.1. Chemical compositions of ASS-CS and AFEX-CS
The chemical composition of pretreated lignocellulosic biomass is important indicator for evaluating the
effectiveness of pretreatment. The insoluble fraction compositions of untreated and pretreated corn
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stover are shown in Table 1. As can be seen, AFEX pretreatment is a dry to dry process ( lignocellulosic
biomass was added into the reactor dry and leaved the reactor in the dry state), during which minimal
cellulose and hemicellulose of CS are degraded and negligible modifications in total carbohydrate
composition are seen compared to untreated biomass [5]. The glucan, hemicellulose and lignin contents
of untreated CS are 35.1%, 17.1% and 20.3%, respectively. The insoluble fraction compositions of AFEX
pretreated CS are 35.7% of glucan, 17.0% of xylan and 20.9% of lignin, respectively. However, the
insoluble fraction compositions of ASS pretreated CS are 38.14% of glucan and 18.52% of xylan,
respectively. The composition of glucan and xylan slightly increases after ASS-CS compared with native
CS. This result shows that more lignin within corn stover is removed during ASS pretreatment, compared
with AFEX compared with AFEX. So the content of lignin after ASS-CS was slightly decreased from
20.32% (untreated CS) to 16.99% (Table 1), indicating that lignin structure was destroyed during ASS
pretreatment.
Table 1
Chemical composition of insoluble fraction compositions in native and treated corn
stover.
Components of pretreated solids (%)
Pretreatment methodology
Native CS
AFEX-CS
ASS-CS
Glucan
35.1%±1.2%
35.7%±0.2%
38.1%±1.0%
Xylan
17.1%±0.4%
17.0%±1.2%
18.5%±0.0%
Lignin
20.3%±1.2%
20.9%±1.0%
17.0%±0.8%
ash
7.2%±0.4%
7.8%±0.0%
9.5%±0.6%
3.2. Enzymatic hydrolysis of pretreated lignocellulosic
biomass
Enzymatic hydrolysis is a key step in the conversion of polysaccharides to fermentable sugars for
subsequent fermentation. The raw lignocellulosic biomass exhibits strong recalcitrance to enzymes.
Pretreatment can improve the accessibility of enzymes to cellulose via the destruction of lignocellulose
structure and modification of lignin structure. Previous work has shown that sulfonation improved the
effects of enzymatic hydrolysis of sodium hydroxide pretreated corn stover via mitigating the inhibitory
effect of lignin [20].
To investigate the effect of ASS pretreatment on lignocellulosic biomass, enzymatic hydrolysis of ASS
and AFEX pretreated biomass were further carried out. The monomeric sugar release for ASS-CS and
AFEX-CS at different enzyme loadings are given in Fig. 1 (a-d). Compared with AFEX-CS, the enzymatic
hydrolysis efficiency of ASS-CS is higher. In Fig. 1a, the addition of sodium sulfite during AFEX
pretreatment (ASS pretreatment) leads to the improvement of the initial hydrolysis rate. At 12 h of
enzymatic hydrolysis, the initial rate of glucan to glucose in AFEX-CS is 0.61 g/(L×h) at 4 mg protein/g
glucan enzyme loading. Whereas the initial rate of glucan to glucose after ASS-CS is 0.82 g/(L×h) at the
Page 5/19
same enzyme loading, which is 35.5% higher than that of the samples of AFEX-CS. Meanwhile, the
hydrolysis of ASS-CS generated higher sugar concentration after enzymatic hydrolysis compared to that
of AFEX-CS. After enzymatic hydrolysis, higher glucose (23.3 g/L) and xylose (11.6 g/L) concentrations
are obtained from ASS-CS than those of AFEX-CS (16.1 g/L glucose and 9.3 g/L xylose) at 4 mg
protein/g glucan enzyme loading. As enzyme loading increases, the sugar concentration after enzymatic
hydrolysis of ASS-CS and AFEX-CS increases. For example, when the CTec2 enzyme loading increases
from 4 to 16 mg protein/g glucan, the glucose concentration increases from 16.1 to 33.4 g/L after
enzymatic hydrolysis of AFEX-CS.
In addition, High enzyme costs, consuming up to 50% of the operating budget in a biorefinery, pose a
major challenge to the industrialization of cellulosic ethanol. Reducing enzyme consumption is thus
essential for cost-competitive bioethanol production. In Fig. 1(e), the glucan and xylan conversion of ASSCS at 8 mg protein/g glucan enzyme loading are similar to that of AFEX-CS at 16 mg protein/g glucan
enzyme loading after enzymatic hydrolysis, showing that the enzyme loading for ASS-CS can be reduced
up to 50% compared with AFEX-CS at similar glucan and xylan conversion. This result suggests that ASS
pretreatment has the potential to further decrease enzyme loading for effective cellulose hydrolysis.
The low enzyme usage for enzymatic hydrolysis of ASS pretreated biomass is likely linked to the
sulfonation of lignin. It was previously reported that lignin was sulfonated with sodium sulfite during
alkaline pretreatment [21–23]. Sulfonation occurs through the substitution of a sulfonate group with
lignin’s aliphatic hydroxy groups via the addition reaction [24]. In addition, sulfonation of lignin can
minimize the nonproductive binding of cellulose to lignin, which is an important limiting factor for
enzymatic hydrolysis of cellulose [25, 26]. Nonproductive binding between cellulose and lignin
significantly hinders enzymatic hydrolysis in bioethanol production. The adsorption of cellulose to lignin
will reduce lignin binding to cellulose, affecting glucan conversion. To reduce nonproductive cellulase
binding, one method is to modify functional groups on the surface of lignin. In our work, the lignin of
lignocellulosic biomass may be sulfonated during ASS pretreatment. The sulfonated lignin can produce a
hydrophilic group on the surface of lignin, which has a low connection to cellulose (Fig. 2). In addition,
sulfonic acid groups introduced onto lignin molecules carry negative charges and may repel the
negatively charged cellulases. This "like charges repel" phenomenon greatly reduces the cellulase-lignin
complex formation. Therefore, the substrate of ASS pretreatment is more easily hydrolyzed compared
with AFEX pretreatment.
3.3. Adsorption of cellulase on enzymatic residual lignins
Given the established role of nonproductive enzyme binding in lignin inhibition, we further investigated
the adsorption properties of enzymatic residual lignin with enzymes to gain deeper insights into this
phenomenon. In Fig. 3, the free cellulase concentration is determined during enzymatic hydrolysis of ASSCS and AFEX-CS at different enzyme loadings. The results show that the free cellulase concentration in
hydrolyzate of ASS-CS and AFEX-CS increases with the increase of enzyme loading. Increasing the
enzyme loading from 4 to 16 mg protein /g glucan increases the free cellulase concentration from 89.5 to
Page 6/19
216 mg protein/L in solution in the case of ASS-CS after enzymatic hydrolysis. The concentration of the
enzyme (CTec 2) in the supernatant from the enzymatic hydrolysis of ASS-CS is 15.8% higher than that of
AFEX-CS at an enzyme loading of 4 mg protein/g glucan. At an enzyme loading of 16 mg protein/g
glucan, the enzyme concentration in the supernatant from the enzymatic hydrolysis of ASS-CS was
41.2% higher than that from the hydrolysis of AFEX-CS. These observations suggest that ASS
pretreatment enables reduced enzyme adsorption, which is likely related to the reduced adsorption on
lignin due to sulfonation. This modification could introduce negatively charged sulfonic acid groups,
which could electrostatically repel the negatively charged cellulase. This reduces non-productive binding
and allows more enzymes to remain active in the hydrolysate.
3.4. SEM analysis
To assess the impact of pretreatment on the accessibility of cellulose for enzymatic hydrolysis, we
examined the physicochemical properties of native corn stover (CS), AFEX-pretreated CS (AFEX-CS), and
ASS-pretreated CS (ASS-CS) using scanning electron microscopy (SEM) (Fig. 4). Native CS exhibits a
smooth surface (Fig. 4a), potentially hindering enzyme adsorption due to limited available binding sites.
AFEX pretreatment generates more rough and fibrillated surface (Fig. 4b). In contrast, ASS pretreatment
significantly disrupts the lignocellulosic structure, creating a coarser and more porous surface (Fig. 4c).
This enhanced porosity is likely due to ammonia's selective interaction with lignin, disrupting its bonds
and weakening the fiber structure. Additionally, sodium sulfite's penetration potentially facilitates partial
lignin sulfonation. This dramatic structural modification by ASS pretreatment significantly increases the
accessibility of polysaccharides to enzymes, beneficial for subsequent enzymatic hydrolysis and
potentially higher biofuel yields.
3.5. FT-IR analysis
FT-IR spectroscopy is used to study the structural changes of substrates after pretreated CS. Figure 5
shows the FT-IR spectra of native and pretreated CS, and peaks were assigned according to the literature
[15]. The peak assignments for both native and pretreated CS samples exhibit similar patterns. The
absorption peak at 3319 cm− 1 is related to the stretching of O-H bonds, which are obvious characteristics
of cellulose and lignin, respectively [27]. The order of these peak intensities was ASS-CS > AFEX-CS and
native CS, suggesting the increase of hydrogen bonds in ASS-CS. The peaks of ASS and AFEX
pretreatments disappear significantly in the 1740 cm− 1 band which is attributed to ester carbonyl
vibration in feruloyl, p-coumaroyl and acetyl groups in lignin and hemicellulose, indicating that the ester
bonds between hemicellulose and lignin were ruptured[23]. Meanwhile, compared with native CS, the
peak of ASS and AFEX pretreatment disappearance at 1244 cm− 1 in the FT-IR spectra, which the acetyl
group in hemicellulose is removed from CS [28, 29]. Lignin is linked with carbohydrates via acetyl, ferulic
acid and p-coumaric acid, etc. The removal of the acetyl group of AFEX and ASS pretreatment samples
indicates that the bonds of the LCCs might be cleaved. The characteristic peaks of lignin are found at
1513 cm− 1and 1260 cm− 1, which are assigned to the C-O of the guaiacyl ring and aromatic ring stretch
vibrations, respectively [30, 31]. The reduction or shift in the two positions is attributed to either aromatic
Page 7/19
ring vibration or C-H deformation vibration of lignin. The peak intensity of ASS-CS is minimal compared
with AFEX-CS, which is attributed to the removal or modification of lignin.
3.6. Acid group titration of the AFEX and ASS pretreated
substrates
Figure 6 shows the conductometric titration curves of AFEX-CS and ASS-CS resulting from the addition of
NaOH solution. The conductometric titration curve of AFEX and ASS pretreated substrates begins with a
short decreasing portion, a constant portion and a long increasing portion, characterizing the repression
of the dissociation of the weak acidic groups. For ASS pretreated substrate, the slightly lower and longer
increasing portion is due to the presence of additional free electronics from sulfonates (strongly acidic
groups). To show the distinctive between the strong acids and weak acids, a known amount of
hydrochloric is added to the suspension before titration. The constant area between the linearly
decreasing portion and the linear slowly increasing branch, corresponding to the titration of weak acidic
groups, yields a quantitative estimation of equivalents of strong acidic groups in the biomass (0.018 g
NaOH/g). After neutralization, the weaker acidic groups begin to dissociate and contribute to the
measured conductance. For ASS pretreatment, the change attributed to the proton concentration change
is lower and longer in this portion due to the low level of dissociation of the weak acidic groups. When the
weak acids are neutralized, the conductivity increases in proportion to the excess of sodium hydroxide
added. The conductometric titration curve of ASS-CS is slightly lower and longer, giving the amount of
weak acidic equivalent groups in the sulfonates (0.038 NaOH g/g) [32].
3.7. Zeta potential analysis of different pretreated
substrates
The zeta potential of ASS-CS and AFEX-CS is measured (Table 2). The result shows that the zeta
potential of ASS pretreatment is lower than that of AFEX substrates. The zeta potentials of ASS-CS are −
25.1, -27.2 and − 28.0 mV at 0.025% (w/v), 0.050% (w/v) and 0.100% (w/v) solid loadings, respectively.
While zeta potentials of AFEX substrates are − 12.4, -13.9 and − 14.7 mV at the same solid loadings,
respectively. In addition, the zeta potential value of AFEX-CS and ASS-CS gradually rises with increasing
solid loading. The lower zeta potential (<-20 mV) of ASS-CS indicates stronger electrostatic repulsion
between lignin and enzymes. Huang et al reported that lignosulfonate mitigated non-productive binding,
due to the sulfoacid group on lignin reducing the negative effects of lignin during enzymatic hydrolysis
[33, 34]. Conversely, the relatively higher zeta potential (<-20 mV) of AFEX-CS indicates inadequate
electrostatic repulsion to increase free enzymes during the hydrolysis, leaving a large number of enzymes
adsorbed on lignin. So electrostatic repulsion is characterized as a key factor in lignin inhibition of
enzymatic hydrolysis [35, 36].
Page 8/19
Table 2
Zeta potential of corn stover after ASS and AFEX
pretreatment in different substrates loading at pH 4.8
Pretreatment
Solid loading(w/v)
Zeta potential (mV)
ASS
0.025%
-25.1 ± 0.3
0.050%
-27.2 ± 0.1
0.100%
-28.0 ± 0.5
0.025%
-12.4 ± 0.7
0.050%
-13.9 ± 0.1
0.100%
-14.7 ± 0.1
AFEX
Conclusions
Compared with AFEX pretreatment, ASS pretreatment could effectively improve the digestibility of
substrates via sulfonating lignin of lignocellulosic biomass. ASS pretreatment introduces negative
charges onto lignin, resulting in electrostatic repulsion against cellulase and reduced non-productive
binding, thereby improving enzymatic digestibility. The result shows that glucan conversion from ASS-CS
at 4/8 mg protein/g glucan is 43.9%/41.4% higher than those of AFEX-CS. In addition, ASS-CS achieved
the same sugar yield as AFEX-CS while requiring half the enzyme loading, demonstrating its superior
efficiency. Therefore, ASS pretreatment is proved to be an efficient pretreatment method for
lignocellulosic biomass.
Abbreviations
ASS
ammonium sodium sulfite
AFEX
ammonia fiber expansion
FT-IR
Fourier transform infrared
HPLC
high performance liquid chromatography
SEM
scanning electron microscopy
LCCs
lignin-carbohydrate complexes.
Declarations
Page 9/19
Author Contributions
Xiangxue Chen performed the experiments, and analyzed the data; Shizhong Yang, Shuiping Ouyang,
Xinchuan Yuan, Junling Song and Shuai Ding coordinated and supervised this study; Xiangxue Chen,
Yuanyuan Sha and Rui Zhai drafted and revised the manuscript. All authors read and approved the final
version.
Funding
This work was supported by National Natural Science Foundation (Grant No. 22308164) and National
Key R&D Program of China (Grant No. 2021YFC2101301).
Ethical Approval and Consent to participate
Not applicable.
Consent for publication
Not applicable.
Availability of data and materials
All data generated or analyzed during this study are included.
Competing interests
The authors declare that they have no competing interests.
Author information
School of Environmental and Biological Engineering, Nanjing University of Science and Technology, 200
Xiaolingwei Street, Nanjing 210094, China.
*E-mail: ruizhai@njust.edu.cn and shayuanyuan@njust.edu.cn. Mailing address: 200 Xiaolingwei Street,
Xuanwu District, Nanjing, Jiangsu Province 210094, China.
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Figure 1
Time course profile of glucose and xylose concentrations during enzymatic hydrolysis of ASS and AFEX
pretreated corn stover (a-d) and the conversion of glucan and xylan after enzymatic hydrolysis at
different enzyme loadings. (a):4 mg protein/g glucan of CTec 2 enzyme; (b):8 mg protein/g glucan of
CTec 2 enzyme; (c):12 mg protein/g glucan of CTec 2 enzyme; (d):16 mg protein/g glucan of CTec 2
enzyme; (e): Conversion.
Page 14/19
Figure 2
Schematic representation of adsorption between lignin of ASS and AFEX pretreated corn stover and
poplar.
Page 15/19
Figure 3
The enzyme protein concentration in liquid streams after enzymatic hydrolysis of ASS and AFEX
pretreated corn stover at different enzyme loadings.
Page 16/19
Figure 4
SEM images at various magnifications for native and AFEX and ASS pretreated corn stover. (a) native
corn stover; (b) AFEX pretreated corn stover; (c) AFEX pretreated corn stover. AFEX: Ammonia fiber
expansion, ASS: Ammonia sodium sulfite.
Page 17/19
Figure 5
Chemical changes in native and pretreated corn stover were determined by FT-IR.
Page 18/19
Figure 6
Potentiometric and conductometric titrations of AFEX and ASS pretreated corn stover.
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The concept of good in abrahamic religions in the context of social service
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НАРОДЫ И РЕЛИГИИ
ЕВРАЗИИ
Барнаул
Издательство
Алтайского государственного
университета
2023
ISSN 2542-2332 (Print)
ISSN 2686-8040 (Online)
2023 Том 28, № 4 2023 Том 28, № 4 ISSN 2542-2332 (Print)
ISSN 2686-8040 (Online) ISSN 2542-2332 (Print)
ISSN 2686-8040 (Online) ISSN 2542-2332 (Print)
ISSN 2686-8040 (Online)
2023 Vol. 28, № 4
NATIONS AND RELIGIONS
OF EURASIA
Barnaul
Publishing house
of Altai State University
2023 ISSN 2542-2332 (Print)
ISSN 2686-8040 (Online) 2023 Vol. 28, № 4 НАРОДЫ И РЕЛИГИИ
ЕВРАЗИИ Барнаул
Издательство
Алтайского государственного
университета
2023 СОДЕРЖАНИЕ Раздел I
АРХЕОЛОГИЯ И ЭТНОКУЛЬТУРНАЯ ИСТОРИЯ
Казанцева О. А. Сандиякское городище — памятник раннего Средневековья
бассейна Камы .................................................................................................................................7
Захаров С. В. Каменный жезл с человеческой личиной из погребения
в курганной группе Майское V .................................................................................................27
Серегин Н. Н., Матренин С. С. Социальная планиграфия некрополя
предтюркского времени Чобурак-I (Северный Алтай)........................................................44
Раздел II
ЭТНОЛОГИЯ И НАЦИОНАЛЬНАЯ ПОЛИТИКА
Бичеев Б. А., Тюмидова М. Е. Ойратский текст «Руководство к практике
Прибежища» (психотехника визуализации объектов поклонения).................................59
Кубаев С. Ш. Появление и развитие отопительных систем на территории
Узбекистана .....................................................................................................................................73
Ожередов Ю. И., Ярзуткина А. А. «Держатель силы». Мухомор в чукотской
культуре ...........................................................................................................................................84
Аюпов Т. М. Генеалогические предания — ценный источник изучения
кыргызско-башкирских историко-культурных связей .................................................... 110
Раздел III
РЕЛИГИОВЕДЕНИЕ И ГОСУДАРСТВЕННО-КОНФЕССИОНАЛЬНАЯ
ПОЛИТИКА
Головнев Г. А. Амбивалентное отношение к «внешнему» миру нового
религиозного движения «Свидетели Иеговы» ....................................................................122
Набиев Р. А., Ибрагимов М. И. Понятие блага в авраамических религиях
в контексте социального служения ........................................................................................134
Слезин А. А. Внедрение новых обрядов в русской деревне 1920‑х гг. как фактор
эволюции взаимоотношений крестьянских поколений ...................................................147
ДЛЯ АВТОРОВ...........................................................................................................................163 ISSN 2542-2332 (Print) • ISSN 2686-8040 (Online) Цитирование статьи:
Набиев Р. А., Ибрагимов М. И. Понятие блага в авраамических религиях в контексте
социального служения // Народы и религии Евразии. 2023. Т. 28, № 4. С. 134–146.
DOI 10.14258/nreur(2023)4–09. CONTENT
NATIONS AND RELIGIONS OF EURASIA
2023 Vol. 28, № 4 Section I
ARCHAEOLOGY AND ETNO-CULTURAL HISTORY
Kazantseva O. A. Sandiyak hillfort is a monument of the early middle ages
of the Kama basin...............................................................................................................................7
Zakharov S. V. Stone rod with a human mask from a burial in the Mayskoye V burial
mound group....................................................................................................................................27
Seregin N. N., Matrenin S. S. Social planigraphy of the preturkic period necropolis
of Choburak-I (Northern Altai).....................................................................................................44
Section II
ETHNOLOGY AND NATIONAL POLICY
Bicheev B. A., Tyumidova M. E. The oirat text, “A guide to refuge practice”
(psychotechnic technique of visualization of objects of worship).............................................59
Kubaev S. Sh. Emergence and development of heating systems on the territory
of Uzbekistan....................................................................................................................................73
Ozheredov Y. I., Yarzutkina A. A. ‘Holder of strength’. Muskrat in Chukotka culture.............84
Ayupov T. M. Genealogical legends are a valuable source for studying the historical
and cultural ties of Kyrgyz-Bashkir ........................................................................................... 110
Section III
RELIGIOUS STUDIES AND STATE-CONFESSIONAL RELATIONS
Golovnev G. A. Ambivalent attitude to ‘the world’ in the organization Jehovah’s
Witnesses.........................................................................................................................................122
Nabiev R. A., Ibragimov M. I. The concept of good in abrahamic religions
in the context of social service......................................................................................................134
Slezin A. A. Introducing new rituals in the Russian village of the 1920s as a factor
in the evolution of the relationship between peasant generations...........................................147
FOR AUTHORS............................................................................................................................163 ISSN 2542-2332 (Print) • ISSN 2686-8040 (Online) 134 Народы и религии Евразии • 2023 Том 28, № 4. C. 134–146. УДК 291.5
DOI 10.14258/nreur(2023)4–09 УДК 291.5
DOI 10.14258/nreur(2023)4–09 УДК 291.5
DOI 10.14258/nreur(2023)4–09 DOI 10.14258/nreur(2023)4–09 Р. А. Набиев, М. И. Ибрагимов Казанский (Приволжский) федеральный университет, Казань (Россия) ПОНЯТИЕ БЛАГА В АВРААМИЧЕСКИХ РЕЛИГИЯХ
В КОНТЕКСТЕ СОЦИАЛЬНОГО СЛУЖЕНИЯ В статье рассматривается одно из фундаментальных положений авраамических ре-
лигиозных систем, относящихся к морально-этическим вопросам во взаимоотноше-
ниях между верующими и реализуемых ими в соответствии с установками сакраль-
ных текстов религиях откровения. Представлены особенности интерпретации понятия «благо» в исламе, христианстве
и иудаизме. В рамках их социальных доктрин показывается его содержание и социаль-
но-общественная значимость через призму социального служения. Рассматриваются
священные тексты ислама, христианства и иудаизма. Анализируются различные кон-
тексты упоминания блага. Приводятся комментарии богословов, предметом интереса
которых является понятие блага в качестве фундаментальной основы концепции со-
циального служения в авраамических религиях. Продемонстрированы теологические основы для благотворительной деятельности
социальных институций ислама, христианства и иудаизма, раскрыты возможности
их межконфессионального сотрудничества на социальной площадке. Изучается про-
цесс трансформации понятия блага в контексте социального служения в связи с ци-
фровизацией и переходом общества на информационную стадию развития. Выделя-
ются предпосылки возникновения различных смыслов и дополнительных контекстов,
которые присущи благу как термину в системе философии благотворительности. Ключевые слова. социальное служение, благо, благотворительность, ислам, хри-
стианство, иудаизм, религиозная мораль. ISSN 2542-2332 (Print) • ISSN 2686-8040 (Online) 135 Nations and religions of Eurasia • 2023 Vol. 28, № 4. P. 134–146. R. A. Nabiev, M. I. Ibragimov Kazan (Volga Region) Federal University, Kazan (Russia) Kazan (Volga Region) Federal University, Kazan (Russia) THE CONCEPT OF GOOD IN THE ABRAHAMIC RELIGIONS
IN THE CONTEXT OF SOCIAL SERVICE The article discusses one of the fundamental provisions of the Abrahamic religious systems
related to moral and ethical issues in the relationship between believers and implemented
by them in accordance with the settings of the sacred texts of the religions of revelation. The
features of the interpretation of the concept of “good” in Islam, Christianity, and Judaism are
presented. Within the framework of their social doctrines, its content and social significance
are shown through the prism of social service.h The sacred texts of Islam, Christianity, and Judaism are considered. Various contexts of
mentioning the good are analyzed. The comments of theologians, whose subject of interest is
the concept of good as a fundamental basis for the concept of social service in the Abrahamic
religions, are given.h The theological foundations for the charitable activities of the social institutions of Islam,
Christianity, and Judaism are demonstrated, the possibilities of their interfaith cooperation
on the social platform are revealed. The process of transformation of the concept of good in
the context of social service in connection with digitalization and the transition of society to
the information stage of development is being studied. The prerequisites for the emergence of
various meanings and additional contexts that are inherent in good as a term in the philosophy
of charity are highlighted. eywords: social service, welfare, charity, Islam, Christianity, Judaism, religious morali Cайт журнала: http://journal.asu.ru/wv • Journal homepage: http://journal.asu.ru/wv For citation:
Nabiev R. A., Ibragimov M. I. The concept of good in the abrahamic religions in the context
of social service. Nations and religions of Eurasia. 2023. Vol. 28, No 4. P. 134–146
DOI 10.14258/nreur(2023)4–09. For citation: Nabiev R. A., Ibragimov M. I. The concept of good in the abrahamic religions in the context
of social service. Nations and religions of Eurasia. 2023. Vol. 28, No 4. P. 134–146
DOI 10.14258/nreur(2023)4–09. Набиев Ринат Ахматгалиевич, доктор исторических наук, профессор, профессор
кафедры религиоведения Института социально-философских наук и массовых ком-
муникаций Казанского (Приволжского) федерального университета, Казань (Россия). Адрес для контактов: professor.nabiev@yandex.ru. Ибрагимов Марсель Ирекович, аспирант кафедры религиоведения Института
социально-философских наук и массовых коммуникаций Казанского (Приволж-
ского) федерального университета, преподаватель общенационального благотво-
рительного фонда «Ярдам — Помощь», Казань (Россия). Адрес для контактов:
marselibragim@yandex.ru. g
y
Nabiev Rinat Akhmatgalievich, Doctor of Historical Sciences, Professor, Professor
of the Department of Religious Studies, Institute of Social Philosophical Science and Mass айт журнала: http://journal.asu.ru/wv • Journal homepage: http://journal.asu.ru/wv 136 Народы и религии Евразии • 2023 Том 28, № 4. C. 134–146. Communications, Kazan (Volga Region) Federal University, Kazan (Russia). Communications, Kazan (Volga Region) Federal University, Kazan (Russia). Contact address: professor.nabiev@yandex.ru. Ibragimov Marcel Irekovich, post-graduate student of the Department of Religious Studies
of the Institute of Social and Philosophical Science and Mass Communications of the Kazan
(Volga Region) Federal University, teacher at the National charitable foundation “Yardam —
Help”, Kazan (Russia). Contact address: marselibragim@yandex.ru. Введение Понятие блага является одним из центральных в концепции социального служе-
ния. Зачастую под благом в авраамических религиях понимается довольно широкий
спектр морально-этических категорий, таких как честь, вера, нрав. Экономическое бла-
го как понятие также зачастую применяется в общем ряду значений данной категории. В подобных условиях необходимым является выделение блага как важной категории
при осмыслении феномена религиозного социального служения. Для выявления наи-
более точного и полного определения термина «благо» относительно термина «благо-
творительность», которое включает в себя важность оказания взаимопомощи, необ-
ходимо рассмотреть благо в контексте социального служения. Авраамические религии являются самыми распространёнными в России. Прини-
мая во внимание данный факт, необходимо выделить ряд определений блага в контек-
сте социального служения, который присущ священным текстам ислама, христианства
и иудаизма. Подобный подход позволит выявить общие черты, присущие значению по-
нятия «благо» в подобном контексте для различных авраамических религий, а также
структурировать знания и наметить пространство для межрелигиозного диалога. Не-
обходимо отметить, что социальное служение, в свою очередь, является методом реа-
лизации концепции общественного блага в авраамических религиях. В основе своей
в священных текстах благо является морально-этической категорией. Понятие блага в исламе В ходе анализа понятия «благо в исламе» необходимо учитывать, что с точки зрения
мусульманской догматики источником блага для человека является бог. Об этом свиде-
тельствует следующий аят священного Корана: «Более благого, лучшего удела, чем тот,
что предоставляется Господом, не сыскать». Сура аль-Хадж, аят 58 [Коран, 1990: 496]. Важным аспектом для понимания блага в исламе является утверждение о важности
стремления к благу в нынешний жизни и после смерти. Социальное служение в исламе
позволяет достигать баланса между выделением имущества на нужды бедных и приоб-
ретением награды в контексте веры. Приведённый ниже аят подтверждает данный те-
зис: «Сделали Мы жертвенное животное (верблюда и верблюдицу) [а также быка и ко-
рову, заклание каждого из которых производится от семи человек, в отличие от бара-
нов и овец, которые лишь от одного] обрядом, в котором благо для вас [мирское и веч-
ное]». Сура аль-Хадж, аят 36 [Коран, 1990: 495]. Для каждого мусульманина крайне важным является задача помощи ближним. За-
кят — один из пяти столпов веры. В случае, если человек не имеет экономических ре-
сурсов для осуществления благотворительной деятельности, он имеет возможность со- ISSN 2542-2332 (Print) • ISSN 2686-8040 (Online) Nations and religions of Eurasia • 2023 Vol. 28, № 4. P. 134–146. 137 вершать благие поступки именно в контексте социального служения, призывая делать
добро. Введение Следовательно, даже члены мусульманской уммы, которые с точки зрения боль-
шинства определений являются нуждающимися, сами способны совершать благие по-
ступки, призывая делать добро и пропагандируя постулаты взаимопомощи. На данный
факт указывает следующий аят: «Пусть среди вас будет группа людей, которые будут
призывать к благому, повелевать одобряемое и запрещать предосудительное. Именно
они окажутся преуспевшими». Сура Али Имран, аят 104 [Коран, 1990: 271]. Благотворительности также посвящено большое количество хадисов (изречений
пророка Муххамеда): «Абу Муса сказал: «однажды пророк сказал: «Каждый мусуль-
манин должен подавать милостыню». Люди спросили: «О пророк Аллаха, а что делать
тому, кто ничего не имеет?» Он ответил: «Он должен зарабатывать своим трудом, при-
нося пользу самому себе и подавая милостыню из заработанного». Люди спросили:
«А если он окажется не в состоянии подавать милостыню и в этом случае?» Он отве-
тил: «Тогда ему следует помочь нуждающемуся, который оказался в беде». Люди сно-
ва спросили: «А если он окажется не в состоянии сделать и этого?» Он ответил: «Тогда
пусть совершает одобряемое шариатом и воздерживается от всего дурного, и это за-
чтётся ему как cадака»; Укба ибн «Амир рассказывал, что слышал, как Посланник Алла-
ха сказал: «Каждый человек будет находиться в сени своих пожертвований, пока не за-
кончится суд над людьми» [Аз-Зубайди, 2013]. «Абу Хурейра рассказывал, что Послан-
ник Аллаха сказал: «Кто просит и выпрашивает у людей богатство ради собственного
обогащения, тот просит горящие угли» [Аз-Зубайди, 2013]. «Совершайте намаз и вы-
плачивайте закят. Все то благое, что вы предварите для себя, вы найдете у Аллаха. Во-
истину, Аллах видит то, что вы совершаете». Сура аль Бакара, аят 110 [Коран, 1990: 152]. Данный аят позволяет убедиться в важности выплаты милостыни в контексте блага. В данном случае речь идёт о том, что Господь как источник блага для всего земного от-
кроет для подающего путь к получению блага в жизни и после смерти. А. В. Смирнов считает важнейшей чертой определения блага в исламе, указывая
на важность сочетания мирской и вечной жизни. При подобных условиях верующий
не отрекается от материального мира с целью конвертировать собственную бедность
и аскетичный образ жизни в богатство и блага после смерти [Смирнов, 2008: 155–156]. «А если кто осознанно совершает доброе дело, то это более благое для него самого». Сура аль Бакара, аят 184 [Коран, 1990: 169]. В контексте данных строк Корана особую
важность приобретает категория осознанности. Cайт журнала: http://journal.asu.ru/wv • Journal homepage: http://journal.asu.ru/wv Введение «Вы являетесь лучшей из общин, появившейся на благо человечества, повелевая
совершать одобряемое, удерживая от предосудительного и веруя в Аллаха». Сура Али
Имран, аят 110 [Коран, 1990: 328]. Согласно данному отрывку, миссия мусульманской
уммы в рамках человечества заключается в реализации концепции блага для каждого
человека, поскольку мусульманин является наместником Бога на земле. Миссией му-
сульман как общности является творить добро, поэтому по утверждению имама Аль-
Кардави, следует обращать в ислам как можно больше людей. Под совершением бого-
угодных деяний понимается совместное совершение благих поступков в масштабе го-
сударства или города. Мусульманская община должна стремиться играть важную роль
в улучшении жизни окружающих. Т. Э. Кафаров обращает внимание на следующую особенность аятов священно-
го Корана, посвящённых благу: ряд формулировок включает в себя определение бла-
га как осознанного и осмысленного поступка. Под благом понимается сохранение за-
боты о мирском и посмертном. При распределении ресурсов для помощи необходи-
мо помнить о том, что в исламе существует чёткое разграничение помощи [Кафаров,
2010: 72–74]. При совершении поступков, направленных на улучшение благосостояния нуждаю-
щихся, мусульманин приумножает состояние адресата помощи, тем самым увеличивая
своё благосостояние в метафизическом смысле. Однако необходимо помнить, что осо-
знанность в данном случае является важнейшей категорией взаимодействия с нуждаю-
щимися, осмысленность действий позволит передать дополнительный символический
смысл каждому пожертвованию, укрепляя веру мусульманина и выстраивая у людей,
не придерживающихся постулатов ислама, позитивный образ данной религии. В. В. Липов в своей работе указывает на важность блага как общественно-значимой
категории. Мусульмане, совершая благие поступки, должны выстраивать позитивную
коммуникацию с представителями других религий, привлекая их к процессу ислам-
ского социального служения. Отсутствие указаний на то, что объектами помощи дол-
жны быть только мусульмане, позволяет исламу, наряду с другими авраамическими
религиями, расширять понятие хорошего поступка и помощи на представителей всех
конфессий. Данное положение дел позволяет расширять деятельность мусульманских
благотворительных организаций вне пространства мечети и исламских учебных заве-
дений [Липов, 2005: 68–69]. В. В. Липов в своей работе указывает на важность блага как общественно-значимой
категории. Мусульмане, совершая благие поступки, должны выстраивать позитивную
коммуникацию с представителями других религий, привлекая их к процессу ислам-
ского социального служения. Отсутствие указаний на то, что объектами помощи дол-
жны быть только мусульмане, позволяет исламу, наряду с другими авраамическими
религиями, расширять понятие хорошего поступка и помощи на представителей всех
конфессий. Данное положение дел позволяет расширять деятельность мусульманских
благотворительных организаций вне пространства мечети и исламских учебных заве-
дений [Липов, 2005: 68–69]. Введение Вовлечённость в совершение благих
поступков и степень их осознанности является крайне важной при оценке искренно-
сти поступка, поскольку лицемерие является одним из самых больших грехов в исла-
ме. В приведённом выше аяте, помимо совершения доброго дела, под благом понима-
ется осознанность, включённость и вовлечённость. По мнению А. Сальваторе, при выполнении общественно-полезных действий, прак-
тикующие верующие руководствуются принципами гуманности и этики, совершая ряд
действий в качестве субъектов определённых поведенческих моделей [Salvatore, Dale,
2004: 134]. «Любое добро, которое вы раздаете, должно достаться родителям, близким род-
ственникам, сиротам, беднякам, путникам. Что бы вы ни сделали благого, Аллах зна- 138 Народы и религии Евразии • 2023 Том 28, № 4. C. 134–146. ет об этом». Сура аль Бакара, аят 21 [Коран, 1990: 54]. Легитимность благополучателей
в системе исламского социального служения является важным аспектом. Попрошай-
ничество и иждивенчество крайне порицаемы с точки зрения исламской философии. Поддержка подобных категорий людей, даже если мусульманин знает об их нечестно-
сти, с формальной точки зрения представляется благим поступком. ет об этом». Сура аль Бакара, аят 21 [Коран, 1990: 54]. Легитимность благополучателей
в системе исламского социального служения является важным аспектом. Попрошай-
ничество и иждивенчество крайне порицаемы с точки зрения исламской философии. Поддержка подобных категорий людей, даже если мусульманин знает об их нечестно-
сти, с формальной точки зрения представляется благим поступком. Р. М. Даудов в своей работе указывает на ещё одну важную установку. При оценке
благого деяния с точки зрения исламской морали, адресность пожертвования играет
одну из ключевых ролей для получения награды от Господа [Даудов, 2014: 4–6]. Р. М. Даудов в своей работе указывает на ещё одну важную установку. При оценке
благого деяния с точки зрения исламской морали, адресность пожертвования играет
одну из ключевых ролей для получения награды от Господа [Даудов, 2014: 4–6]. «Вы являетесь лучшей из общин, появившейся на благо человечества, повелевая
совершать одобряемое, удерживая от предосудительного и веруя в Аллаха». Сура Али
Имран, аят 110 [Коран, 1990: 328]. Согласно данному отрывку, миссия мусульманской
уммы в рамках человечества заключается в реализации концепции блага для каждого
человека, поскольку мусульманин является наместником Бога на земле. Миссией му-
сульман как общности является творить добро, поэтому по утверждению имама Аль-
Кардави, следует обращать в ислам как можно больше людей. Под совершением бого-
угодных деяний понимается совместное совершение благих поступков в масштабе го-
сударства или города. Мусульманская община должна стремиться играть важную роль
в улучшении жизни окружающих. Cайт журнала: http://journal.asu.ru/wv • Journal homepage: http://journal.asu.ru/wv Введение Сунна пророка, которая является вторым после Корана источником знаний для каж-
дого правоверного мусульманина, также, в свою очередь, содержит информацию о раз-
личных аспектах блага при пожертвованиях. «Если женщина раздает еду, хранящуюся ISSN 2542-2332 (Print) • ISSN 2686-8040 (Online) 139 Nations and religions of Eurasia • 2023 Vol. 28, № 4. P. 134–146. в ее доме, и не расточительствует при этом, то она получит вознаграждение за свое по-
жертвование. Ее супруг получит вознаграждение за то, что заработал, и такое же воз-
награждение получит слуга, отвечающий за кладовую. При этом ничья награда не ста-
нет меньше из‑за того, что вознаграждение получит и другой». (Этот хадис передали
аль-Бухари и Муслим). Данный хадис указывает на важность грамотного распределе-
ния имущества при осуществлении пожертвований. Если мусульманин будет прене-
брегать интересами своей семьи, стремясь за счёт систематического совершения по-
даяний заработать благо, то он будет порицаем. Благом является умение не только да-
вать милостыню, но и распределять имущество таким образом, чтобы при социальном
служении не были ущемлены интересы семьи. Понятие блага в христианстве Понятие блага в христианстве Целью христианского социального учения, включая его социально-этические, соци-
ально-педагогические и общественно-политические аспекты, является установление со-
циального строя, при котором человек может выполнять волю Бога и вести христиан-
ский образ жизни. «Ибо и Сын Человеческий не для того пришел, чтобы Ему служили,
но чтобы послужить и отдать душу Свою для искупления многих» [Библия, Мк. 10: 45]. «Вот пост, который Я избрал: разреши оковы неправды, развяжи узы бремени, чтоб
освободить угнетенных, и сломать всякое ярмо; Не в том ли он, чтобы ты поделился
едой с голодным и дал пристанище бедному скитальцу, видя нагого, одень его, и не от-
ворачивайся от родственников. Тогда воссияет твой свет, как заря, и быстро придет
твоё исцеление, Твоя праведность пойдёт пред тобою, и слава Господня защитит тебя
с тыла. Тогда воззовешь ты — и Господь отзовется, позовешь на помощь — и Он от-
ветит „Я здесь”. Если покончишь с ярмом угнетения, прекратишь показывать пальцем
и оскорблять, предложишь свою пищу голодному и насытишь страдальца, тогда вос-
сияет во тьме твой свет и мрак твой станет как полдень; И Господь всегда будет вести
тебя; Он насытит тебя в безводных местах и укрепит твои кости» [Библия, Ис. 58]. Ис-
ходя из этой главы книги пророка Исаии можно сделать вывод, что в христианстве так-
же важным благодеянием является помощь нуждающимся. В данном фрагменте также
не делается акцент на вероисповедании нуждающегося. Р. А. Фатхуллин видит в данном случае определение блага в рамках христианской
морали как освобождение от пороков. Забота о ближних и родственниках выделяется
особо, данный постулат при определении блага идентичен с повелениями из священ-
ного Корана, которые призывают не забывать о родственниках, но вместе с этим по-
могать и незнакомым людям [Фатхуллин, 2022: 121–122]. «Он говорит нам, что поскольку это так, то, оказывая им внимание, мы служим
Самому Господу — «Говорю вам истину: то, что вы сделали одному из наименьших
Моих братьев, вы сделали Мне» [Библия, Мф. 25: 40]. В данном случае речь идёт о том,
что благое дело в христианстве, направленное нуждающемуся, является и благим де-
лом по отношению к Богу. Д. Холленбач считает важным, что в священном писании упоминается, что любое
потраченное на благое дело имущество многократно вернётся человеку после смерти. В данном контексте под благом понимается несоизмеримость награды даже за самый
малый добрый поступок [Hollenbach, 2002: 66–67]. 140 Народы и религии Евразии • 2023 Том 28, № 4. C. 134–146. Л. В. Баева считает, что в Библии зачастую подчёркивается важность искренности
при совершении благих деяний. Понятие блага в христианстве Проявляя смирение во время подачи милостыни, веру-
ющий должен бороться не только с жадностью, но и с гордыней. Искренность поступ-
ка позволяет сделать процесс социального служения очищающим [Баева, 2007: 78–80]. Е. В. Бобырева и О. А. Дмитриева выдвигают гипотезу, согласно которой порицание
попрошайничества и чёткое разграничение групп, на которые необходимо направлять
помощь, характерно для основных направлений христианства и должно способствовать
максимальному вовлечению каждого человека в процесс, поскольку тенденция цифро-
визации экономики сделала возможным отправлять пожертвования на механическом
уровне, не задумываясь о совершаемом действии [Бобырева, Дмитриева, 2021: 577]. Понятие блага в иудаизме Понятие блага в иудаизме Понятие блага в иудаизме В Торе благотворительности уделено важное внимание. Существует ряд чётко обо-
значенных категорий людей, которым необходима помощь в первую очередь. К ним
относятся малоимущие, сироты, рабы на выкуп, на которых можно потратить сред-
ства, старики и др. Благотворительность в иудаизме охватывает все стороны жизни, от сбора придано-
го для невест до помощи в организации похорон. Для благотворителя в иудаизме важ-
но оставаться незамеченным. А. В. Коркина делает акцент на некоем намеренном отчуждении еврейских благо-
творительных организаций от своих подопечных. Делающие пожертвования зачастую
не видят человека или людей, которым помогают. Подобная система призвана исклю-
чить из отношений между людьми излишнюю гордость и подобострастие [Коркина,
2016: 47–48]. С точки зрения концепции социального служения, в иудаизме важным является
не только процесс помощи человеку, но и конечный результат. Иудейская благотвори-
тельность зачастую носит систематически направленный характер на конкретного че-
ловека или семью, её цель — помочь накопить определенную сумму для улучшения фи-
нансового положения и социального статуса нуждающегося. С точки зрения помога-
ющего, благом становится не сам процесс передачи имущества, а поиск для малоиму-
щих работы, налаживание их социальных связей и даже психологическая поддержка. Для верующего иудея творение добрых дел должно быть сопряжено с некой систем-
ностью, которая позволит вместе с оказанием помощи мотивировать нуждающегося
к самостоятельному изменению своего положения в обществе. И. А. Абдулаев обращает внимание на важность для иудейской общины высокой
степени вовлечённости в процессе оказания помощи. Данные мероприятия, по мне-
нию автора, сплачивают общины внутри иудейского общества [Абдулаева, 2011: 89–90]. р ,
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В иудаизме как благо воспринимается не только богатство или имущество, даро-
ванное конкретному человеку, но и как имущество, которым в целом должна распо-
ряжаться община, поэтому благотворительные организации в иудаизме называют-
ся братствами. Каждый участник должен выделить определённую часть собствен-
ного имущества или благосостояния и нести ответственность за то, чтобы его бо-
гатство было распределено наиболее эффективно. Такой подход позволяет, с одной
стороны, сплачивать общину вокруг социального служения, а с другой — создавать ISSN 2542-2332 (Print) • ISSN 2686-8040 (Online) 141 Nations and religions of Eurasia • 2023 Vol. 28, № 4. P. 134–146. определённую категорию людей, для которых благотворительность является посто-
янной практикой. определённую категорию людей, для которых благотворительность является посто-
янной практикой. Зачастую благо как понятие, относящееся к концепции социального служения, трак-
туется с позиции помощи и искренности. При таком подходе упускается аксиологиче-
ский аспект взаимопомощи. Е. Н. Cайт журнала: http://journal.asu.ru/wv • Journal homepage: http://journal.asu.ru/wv Понятие блага в иудаизме Исходя из этого человек, убедив-
шийся в прозрачности работы благотворительных фондов и инициатив, распростра-
няющий информацию о них в масштабе глобальной сети, с точки зрения религиозной 142 Народы и религии Евразии • 2023 Том 28, № 4. C. 134–146. морали, совершает определённое благо, также становясь агентом социального служе-
ния [Дудорова, 2020: 341–343]. Существует несколько иной взгляд на трансформацию понятия блага в условиях
развития современных технологий, таких как цифровизация экономических операций. Совершая пожертвования на постоянной основе, верующий пользуется всевозможны-
ми интерфейсами для осуществления определённых экономических операций, таких
как переводы и оплата. Зачастую в подобных условиях человек отчуждается от процес-
са совершения благого дела. Механизация и рутинизация приводят к практически пол-
ному отсутствию рефлексии и осмыслении процесса совершения благого поступка, та-
ких как помощь ближним или поддержка благотворительных инициатив. При подоб-
ном положении дел благим будет возвращение к традиционным практикам социаль-
ного служения. Восстановление межличностного характера взаимодействий при соци-
альном служении позволит отрефлексировать и оценить уровень искренности каждо-
го поступка [Ванюкова, 2015: 27–29]. Поскольку при совершении благих дел в доктрине авраамических религий крайне
важна осмысленность, то во многом подобные практики должны способствовать воз-
растанию уровня сопереживания и реагирования. Одной из проблем является возмож-
ность автоматического списания средств с личного счёта адресанта помощи. Подоб-
ная практика фактически полностью отчуждает человека от благополучателя, которо-
му он оказывает помощь. При автоматическом списании средств, процесс пожертвова-
ния становится абсолютно механическим и лишённым всякой сакральности [Чеснова,
2022: 33]. Осмысление положительных и отрицательных черт современных технологий при со-
вершении блага до сих пор занимает важное место в богословском дискурсе авраамиче-
ских религий. Процессы глобализации актуализировали на современном этапе пробле-
му всеобщего или мирового блага. Некоторые учёные, занимающиеся разработкой по-
нятий взаимопомощи и социальной справедливости, считают важным апеллирование
категориям блага в масштабе всей планеты. При подобной постановке проблемы зада-
чей религиозного благотворительного фонда становится расширение зоны свой дея-
тельности за пределы своего города либо страны. Н. И. Тимохина считает, что забота
о благе должна охватывать всё человечество. При подобном подходе в идеале образу-
ется определённый тип взаимодействия между благотворительными организациями,
позволяющий устранить проблемы, которые принято называть общемировыми. В дан-
ной интерпретации благо представляется как стремление через социальное служение
достичь общественной справедливости не только в масштабах общины, города, стра-
ны, но и всего мира [Тимохина, 2019: 241–244]. Схожесть интерпретаций понятия благо, общность духовных ориентиров и мораль-
но-этических установок, а также ценностных систем позволяет представителям различ-
ных религий налаживать устойчивую долгосрочную коммуникацию в сфере социаль-
ного служения. С точки зрения С. Понятие блага в иудаизме Дорф пишет о важности системной поддержки ну-
ждающихся для религиозных сообществ с точки зрения влияния на общественное со-
знание. В обществах, где религиозные организации оказывают помощь незащищён-
ным слоям населения, благодеяние постепенно из религиозной практики постепенно
смещается в сферу этики [Dorf, 2004: 200–203]. В своей работе В. Н. Мунгалов так описывает общие черты понятия блага с точки
зрения взаимопомощи в авраамических религиях. Для ислама, христианства и иудаиз-
ма характерны следующие общие дефиниции при осмыслении блага наряду с поняти-
ем социального служения: богатство, отданное в качестве милостыни, вернётся в мно-
гократном размере в мирской жизни или в вечности; благо должно распределяться ра-
зумно; даже незначительное дело, направленное на улучшение окружающего мира, яв-
ляется благим с точки зрения социального служения [Мунгалов, 2014: 146]. Каждая благотворительная инициатива становится частью общей миссии каждой
религиозной конфессии по реализации концепции всеобщего блага на земле. Т. В. Би-
рюлина считает, что общая направленность морально-этических установок и ориенти-
ров позволяет представителям авраамической религии выстраивать позитивную ком-
муникацию в сфере благотворительности, создавая предпосылки для межрелигиозно-
го диалога [Бирюлина, 2011: 14–15]. Современные тенденции об интерпретации блага в авраамических религ
б Современные тенденции об интерпретации блага в авраамических религиях
При осмыслении понятия блага как важной части социальной доктрины в любой
авраамической религии богословы заостряют своё внимание на развитие современ-
ных технологий в сфере массовых коммуникаций. Для ислама, христианства и иуда-
изма общим является утверждение о том, что не имеющий имущества человек, пропо-
ведующий или рассказывающий о занятии благотворительностью, а также призываю-
щий делать добро, совершает благой поступок. Консенсус касательно данного положе-
ния позволяет прийти к важности интернета как площадки для формирования опреде-
лённого социального капитала путём распространения информации о благе, заключа-
ющемся в социальном служении. Человек, не имеющий имущества для помощи окру-
жающим, но использующий информационные ресурсы, например, собственную стра-
ницу в социальной сети, либо иные возможности информационно-коммуникацион-
ных технологий для распространения информации о благотворительных инициати-
вах в целом и нуждах конкретных некоммерческих организаций и благотворительных
фондов, в частности, тем самым призывает совершать добро [Moussa, 2017: 100–104]. ф
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Мультимедиацизация и конвергентность позволяют доносить информацию о рели-
гиозном активизме и социальном служении, используя различные каналы восприятия. По мнению А. С. Дудоровой, для социального служения представителей различных кон-
фессий информационная поддержка крайне важна. Заключение Анализируя категорию блага в контексте социального служения в авраамических
религиях, можно отметить ряд общих черт и понятий категорий блага и благодеяний. К ним относятся: помощь ближним, осуществляемая искренне и осознанно; общие по-
стулаты, касающиеся наиболее приоритетных групп благополучателей; улучшение жиз-
ни окружающих; социальное служение, осуществляемое совместно с единоверцами. Определения блага в различных авраамических религиях в основе своей схожи, од-
нако наблюдается ряд разночтений. В исламе и иудаизме Бог является источником бла-
га, тогда как в христианстве Бог также наравне с нуждающимися является своего рода
объектом помощи. Общие понятия, связанные с благом, воспринимаемые в контексте
социального служения, позволяют представителям авраамических религий создавать
общие благотворительные инициативы, совместно реализуя таким образом миссию
каждой конфессии по установлению на земле всеобщего блага. Понятие блага в иудаизме В. Мельника, тип межрелигиозного диалога в сфере
благотворительности имеет название «партнёрский» [Мельник, 2022: 81–82]. р
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На круглом столе, прошедшим в 2021 г., обсуждалась тема социального служения
как инструмента установления общественного блага. В данном конкретном случае дис- ISSN 2542-2332 (Print) • ISSN 2686-8040 (Online) 143 Nations and religions of Eurasia • 2023 Vol. 28, № 4. P. 134–146. куссия о благе как о центральном понятии в рамках концепции религиозного активиз-
ма и социального служения стала своего рода фактором формирования партнёрского
межрелигиозного диалога между представителями двух авраамических религий, в дан-
ном конкретном случае ислама и христианства. Общие интерпретации категории блага в рамках социального служения обусловли-
вает ряд сфер, в которых с наибольшей частотностью происходит межконфессиональ-
ное сотрудничество. К таким категориям относятся: строительство и восстановление
религиозных сооружений, совместное кормление нуждающихся, оказание помощи
пострадавшим от природных катаклизмов. В других сферах межрелигиозный диалог
выстраивается скорее из общности традиций и не имеет столь устойчивого характера. Принимая во внимание изложенное, можно сделать вывод, что общее понимание бла-
га как базового понятия социального служения является важным фактором при фор-
мировании межконфессионального сотрудничества [Kearney, 2018: 40–47]. Cайт журнала: http://journal.asu.ru/wv • Journal homepage: http://journal.asu.ru/wv БИБЛИОГРАФИЧЕСКИЙ СПИСОК № 4 (294). С. 341–343. Кафаров Т. Э. Принципы этики ислама: нравственный ориентир для мусульмани-
на // Исламоведение. 2010. № 2. С. 72–74. Кафаров Т. Э. Принципы этики ислама: нравственный ориентир для мусульмани-
на // Исламоведение. 2010. № 2. С. 72–74. Коран / перевод И. Ю. Крачковского. М. : Наука, 1990. 831 с. Коркина А. В. Проявление благодати в еврейской библии: аспект заветов // World
science. 2016. № 6 (10). С. 47–48. Липов В. В. Религиозные ценности как фактор зависимости от предшествующего
развития и формирования социально-экономических моделей // Пространство эко-
номики. 2005. № 3. С. 68–69. Мельник С. В. Межрелигиозный диалог: типологизация, методология, формы реа-
лизации. М. : ИНИОН РАН, 2022. 398 с. Мунгалов В. Н. Мировоззренческие различия буддизма и авраамических религий //
Психология в экономике и управлении. 2014. № 1. С. 144–148. у
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удд
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Психология в экономике и управлении. 2014. № 1. С. 144–148. Смирнов А. В. «Благо» и «Зло» в исламской традиции и философии (к постановке
вопроса) // Этическая мысль. 2008. № 8. С. 155–156. охина Н. И. Особенности коммуникации благотворительных организаций в со-
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циальных сетях // Молодой ученый. 2019. № 12 (250). С. 241–244. О
у
ц
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ых сетях // Молодой ученый. 2019. № 12 (250). С. 241–244. Фатхуллин Р. А. Единый вектор социальной направленности христианства и исла- Фатхуллин Р. А. Единый вектор социальной направленности христианства и исла-
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religions — together in the cause of charity] (in Russian). Armando Salvatore, Dale F. Eickelman Public islam and the common good. 2004, 134 p. (in English). Armando Salvatore, Dale F. Eickelman Public islam and the common good. 2004, 134 p. (in English).h id Hollenbach, S. J. The common good and christian ethics. 2002, pp. 66–67 (in English). David Hollenbach, S. J. The common good and christian ethics. 2002, pp. 66–67 (in English). Eliot N. Dorf To Do the Right and the Good, a jewish approach to modern socail ethics. 2004,
pp. 200–203 (in English). Eliot N. Dorf To Do the Right and the Good, a jewish approach to modern socail ethics. 2004,
pp. 200–203 (in English). t N. Dorf To Do the Right and the Good, a jewish approach to modern socail ethics. 2004,
–203 (in English). Kearney J. From Intra-Religious to Interreligious Dialogue. 2018, pp. 40–47 (in English).hh Kearney J. From Intra-Religious to Interreligious Dialogue. 2018, pp. 40–47 (in English).hh Kearney J. From Intra-Religious to Interreligious Dialogue. 2018, pp. REFERENCES 40–47 (in English).hh Moussa M. The Use of the Internet by Islamic Social Movements in Collective Action: The Case
of Justice and Charity. 2017, pp. 100–104 (in English). Moussa M. The Use of the Internet by Islamic Social Movements in Collective Action: The Case
of Justice and Charity. 2017, pp. 100–104 (in English). Статья поступила в редакцию: 09.05.2023
Принята к публикации: 12.10.2023
Дата публикации: 12.12.2023 Дата публикации: 12.12.2023 ISSN 2542-2332 (Print) • ISSN 2686-8040 (Online)
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Thermal And Chemical Resistance Of Plasma Sprayed Al2o3, Al2o3-Tio2 Coatings
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Thermal And Chemical Resistance Of Plasma
Sprayed Al2o3, Al2o3-Tio2 Coatings
Airingas Šuopys
(
airingas.suopys@lei.lt
)
Lietuvos energetikos institutas
https://orcid.org/0000-0001-5972-3084 Lietuvos energetikos institutas Research Article Keywords: Plasma spray, Al2O3, TiO2, thermal resistance, chemical resistance
Posted Date: October 9th, 2020
DOI: https://doi.org/10.21203/rs.3.rs-18422/v2
License:
This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License Posted Date: October 9th, 2020 License:
This work is licensed under a Creative Commons Attribution 4.0 International
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This work is licensed under a Creative Commons Attribution 4.0 International
License. Read Full License Page 1/13 Page 1/13 Page 1/13 Abstract In this article, the results of thermal and chemical resistance, of plasma sprayed Al2O3 and Al2O3-
13wt.TiO2 coatings on a steel (P265GH) sample are presented. Coatings were formed using air-hydrogen
plasma direct current plasma torch at atmospheric pressure. The resistance of coatings was measured
by analyzing surface structure, elemental and phase composition of as sprayed coatings and after
several heating cycles, imitating application conditions. To make this technology more appealing, by
decreasing exploitation cost of standard cast iron grate used in straw pellet broilers, we used cheaper
stainless steel with a protective Al2O3 and Al2O3-13wt.% TiO2 coatings. Most of the research done in this
field is by using Ar as primary gas, but to decrease the manufacturing cost even further we used Air as
primary gas. It was determined that after heat treatment the minor changes in the elemental composition
were observed. Meanwhile an additional crystalline phases of metal oxides were detected. Introduction: The need for functional materials is ever increasing, many systems and their individual parts or sections
must be durable, resistant to chemical or thermal effects and corrosion. The higher longevity can be
reached – the better. One of the most effective and cost-efficient way to prolong the lifespan of certain
parts or systems is to apply a protective layer of material on top. Ceramic coatings are quickly becoming
a viable alternative to organic and polymer-based coatings for surface protection applications. Most
commonly used oxide ceramics today are alumina, zirconia, titania, yttria or their composites coatings. Ceramic coating is a protective film for all kinds of parts and can dramatically increase their useful life
and productivity, by achieving longer run times before the repairs or replacement of part is needed. Thermal spray coating is one of the most common ways to apply a protective coating on the material
and plasma spray is one of the most widely used techniques for this purpose [1]. Plasma sprayed ceramic coatings possesses lots of excellent properties, such as wear and corrosion
resistance, high temperature resistance, therefore is widely used in various industrial equipment [2], and
particularly are useful when corrosion and wear resistance is required simultaneously [3]. Alumina
coatings are one of the most popular high-performance ceramic coatings being used in the industry
today. Such wide applications are related to the high hardness, chemical inertness and low cost of
material. To improve coating qualities, such as brittleness and friction coefficient reduction, increase of
fracture toughness and corrosion resistance, addition of titanium oxide to alumina powder is widely used
[4–8]. It was found that addition of TiO2 reduces the microhardness of alumina coatings [9–12], also
titanium oxide increases corrosion resistance, wear rate, elastic modulus and decreases porosity [13]. It
was demonstrated that Al2O3-YSZ composite coatings improves the oxidation resistance at high (1050
oC) temperatures [15]. V.C. Misra et al. [14] demonstrated that the tribological properties of Al2O3 coatings
prepared using argon-hydrogen plasma strongly depend on process parameters and could be used in dry
air and dry nitrogen environment. M. Wang et al. [16] obtained that Al2O3-13wt.% TiO2 sprayed using
argon-helium plasma remained stable after thermal shock tests under temperatures below 800 oC. Page 2/13 Page 2/13 Alumina and alumina-based composite coatings are a promising selection to improve the grate of a
straw pellet boiler, since manufacturing high quality steel would be extremely expensive. Introduction: The intention
was to lower the price of the grate by using stainless P265GH steel instead of cast iron, that is typically
being used in straw pellet broilers. According to manufacturing sites (alibaba.com and iron-foundry.com)
the cost of cast iron is 1300–1400 $/ton while stainless steel is only 600–800$/ton. This change of the
grate material would greatly decrease the cost of manufacturing, not to mention the increased longevity
of the grate. The temperature inside the boiler is about 500–600 °C and as other scientist have confirmed,
there are almost no phase changes of Al2O3 coatings in the range of 500–700 °C [7,14]. To decrease the
manufacturing cost even further, unlike in the work of other authors [4–10], where coatings were formed
mostly using Ar as primary and H2 as secondary gas, in this research air was used as primary and H2 as
secondary gas. Because of this change it was necessary to verify if the coatings properties would stay
the same. Another reason is for using alumina-based coatings, when burning straw potassium, sodium
and chlorine compounds formed during combustion react with a furnace surface and destroy it via
corrosion reactions. The supreme process of destruction is an etching of the metal due to the chromium
reaction with chlorine produced during burning of straws. So, the deposition of the ceramic coatings on
the metal surfaces could reduce the production cost and greatly improves the lifetime of the furnace,
without the need to replace the grate. Because of the reasons mentioned above, alongside pure alumina,
titania was selected as a suitable additive for coatings in our work. In this paper, Al2O3 and Al2O3-13wt.% TiO2 coatings were deposited on steel (P265GH) samples. The aim
of this research is to investigate the chemical and thermal resistance of alumina coatings with addition
of TiO2. Methodology: 2b) and filled with straw pellets (as shown in Fig. 2a). The
cylinder had holes on each side and air was flowing through the bottom one at a constant rate. Then the
cylinder was closed and inserted into the heating furnace (model TMH12/38/500–2416) and the
temperature was set at 500 °C. The duration of the measurement was 60 minutes after the temperature in
the furnace reached 500 oC. Additionally, the temperature inside the cylinder was measured using three
thermocouples, placed inside the metal cylinder. The first thermocouple was placed below the samples,
while the second and third were placed on the top of Al2O3 and Al2O3-13%wt.TiO2 coatings, respectively. The variation of the temperatures was measured using digital multimeter (Mitutoyo Surftest SJ-210). After the heating was over, the specimens were left in the furnace to cool down for several hours. This
sequence completed one cycle of heat treatment and when the five cycles were reached the surface
morphology, phase and elemental composition were investigated. In order to imitate the burning process of the straw pellets in the heating furnace the metallic tube was
made (Fig. 2). The specimens were heat treated under identical conditions and were as following: the
samples were placed into a metal cylinder (Fig. 2b) and filled with straw pellets (as shown in Fig. 2a). The
cylinder had holes on each side and air was flowing through the bottom one at a constant rate. Then the
cylinder was closed and inserted into the heating furnace (model TMH12/38/500–2416) and the
temperature was set at 500 °C. The duration of the measurement was 60 minutes after the temperature in
the furnace reached 500 oC. Additionally, the temperature inside the cylinder was measured using three
thermocouples, placed inside the metal cylinder. The first thermocouple was placed below the samples,
while the second and third were placed on the top of Al2O3 and Al2O3-13%wt.TiO2 coatings, respectively. In order to imitate the burning process of the straw pellets in the heating furnace the metallic tube was
made (Fig. 2). The specimens were heat treated under identical conditions and were as following: the
samples were placed into a metal cylinder (Fig. 2b) and filled with straw pellets (as shown in Fig. 2a). The
cylinder had holes on each side and air was flowing through the bottom one at a constant rate. Methodology: Al2O3 and Al2O3-13wt.TiO2 coatings were sprayed on steel (P265GH) substrate at atmospheric pressure
using a direct current plasma torch, developed in Lithuanian Energy Institute [15]. The steel substrates
(dimensions of 40 × 10 × 6 mm) were polished and chemically cleaned before the deposition process. The
substrates were placed on the water-cooled sample holder. The plasma torch was moving in the x-axis
direction back and forth, in order to prevent overheating. Air was used as primary and the powder carrier
gas, and hydrogen was used as a secondary gas. The coatings were deposited using the plasma torch
parameters, that are listed in the Table 1. Page 3/13 Current
200 A
Voltage
198 V
Spray distance
70 mm
Primary gas flow rate
3.7 g/s
Powder carrier gas flow rate
0.75 g/s
Secondary gas flow rate
0.06 g/s
Deposition duration
60 s Two different compositions of powders were used in this research. Conventional 63–81 µm size (Fig. 1)
Al2O3 (MOGUL PC15, purity 99.8) and the same size distribution Al2O3 – 13 wt.% TiO2 (MOGUL PC12)
powders were used as feedstock material, which were injected into the reactor nozzle (internal diameter
of 7 mm) at 150 mm from the exit. Additionally, the bonding layer was formed from nickel-chromium
powders (MOGUL M3, Ni/Cr ratio of 80/20) powders in order to increase the coating adhesion to steel
substrate. Before the coating process, all powders were dried. Three different specimens were used in the
research: uncoated steel (P265GH), Al2O3 and Al2O3-13%wt.TiO2 coatings. Two different compositions of powders were used in this research. Conventional 63–81 µm size (Fig. 1)
Al2O3 (MOGUL PC15, purity 99.8) and the same size distribution Al2O3 – 13 wt.% TiO2 (MOGUL PC12)
powders were used as feedstock material, which were injected into the reactor nozzle (internal diameter
of 7 mm) at 150 mm from the exit. Additionally, the bonding layer was formed from nickel-chromium
powders (MOGUL M3, Ni/Cr ratio of 80/20) powders in order to increase the coating adhesion to steel
substrate. Before the coating process, all powders were dried. Three different specimens were used in the
research: uncoated steel (P265GH), Al2O3 and Al2O3-13%wt.TiO2 coatings. In order to imitate the burning process of the straw pellets in the heating furnace the metallic tube was
made (Fig. 2). The specimens were heat treated under identical conditions and were as following: the
samples were placed into a metal cylinder (Fig. Results: Variation of the temperature during the burning of straw pellets is shown in Fig. 3. The temperature of the
first thermocouple (below the samples) is quite lower, that is due to the constant air flow from the bottom
of the cylinder, and the maximum temperature is considerably lower (450–480 °C), because the burning
of straw pellets is happening on top of the samples. The rapid growth of temperature can be observed at
17 min., that is when the straw pellets start to burn, the peak temperature is reached after 25 min. and is
between 520–600 °C. Meanwhile, the temperature on the surface was about 100 °C higher than on the
bottom when the straw pellets were burning. Once the burning process is over the temperature starts to
decrease and stabilizes at 430–470 °C range. The temperature obtained on the top surface of the
coatings was about ~ 50 oC higher after burning process was finished. Surface morphology of uncoated steel before the heat treatment and after 20 cycles is shown in Fig. 4. The surface of untreated sample (Fig. 4a) is relatively clean, although some particles can be observed. After 20 heat treatment cycles the chance of the surface is evident. A lot more particles can be observed
on the surface, that remained even after ultrasonic cleaning, these are mainly leftover products of burned
straw pellets. In addition, the surface seems to be etched, this is the result of ongoing chemical reactions
and oxidation during the burning of straw pellets. The SEM images clearly indicated that the surface of
P265GH steel was changes and damaged. Surface of sample with the Al2O3 coating is shown in Fig. 5. The surface of untreated sample (Fig. 5a)
consists of splats and somewhat unmolten particles, also no defects, such as cracks or delamination,
can be seen. Surface of the sample after 20 cycles (Fig. 5b) is similar, but the quantity of small particles
is considerably higher. Much like in steel sample, a lot of those small particles are leftover products of
burned straw pellets, that were not cleaned completely. Just as in steel sample, the surface is etched and
cavities do form, but they are considerably smaller. This is due to the fact, that Al2O3 coating is a lot more
resistant to chemical reactions, happening during the burning process of straw pellets, that steel. The surface of Al2O3-13%wt.TiO2 sample is shown in Fig. 6. Methodology: Then the
cylinder was closed and inserted into the heating furnace (model TMH12/38/500–2416) and the
temperature was set at 500 °C. The duration of the measurement was 60 minutes after the temperature in
the furnace reached 500 oC. Additionally, the temperature inside the cylinder was measured using three
thermocouples, placed inside the metal cylinder. The first thermocouple was placed below the samples,
while the second and third were placed on the top of Al2O3 and Al2O3-13%wt.TiO2 coatings, respectively. The variation of the temperatures was measured using digital multimeter (Mitutoyo Surftest SJ-210). After the heating was over, the specimens were left in the furnace to cool down for several hours. This
sequence completed one cycle of heat treatment and when the five cycles were reached the surface
morphology, phase and elemental composition were investigated. The specimens were washed using ultrasonic cleaning after each five cycles before the characterization. The surface morphology of the coatings was characterized by scanning electron microscopy (SEM) using
a Hitachi S-3400N, elemental composition by energy dispersive X-ray spectroscopy (EDS) using
dispersive X-ray spectroscopy (Bruker Quad 5040 spectrometer, AXS Microanalysis GmbH). The
measurements were performed from 1.05 mm2 surface area at 4 different points for each sample and the
mean values were calculated. Structure of the coatings was analyzed using X-ray diffraction
crystallography (XRD) with Bruker D8 instrument whose main parameters were theta-theta configuration, Page 4/13 Page 4/13 CuKα (λ = 0.154059 nm) radiation. The five cycles procedure was repeated, and the testing was finished
when 20 cycles of heat treatment were reached. CuKα (λ = 0.154059 nm) radiation. The five cycles procedure was repeated, and the testing was finished
when 20 cycles of heat treatment were reached. Results: As in previous sample, untreated coating
(Fig. 6a) consists of splats and somewhat unmolten particles, also no cracks or delamination zones can
be seen. But unlike in Al2O3 sample the surface after 20 cycles is relatively the same, roughly the same
number of small particles and no formed cavities are observed (Fig. 6b). The addition of titania increased
coatings resistance to chemical and thermal impact. Elemental composition was determined using energy dispersive X-ray spectroscopy. Samples were tested
before treatment, and after 5 and 20 cycles. Each sample was measured in 4 different spots, then mean
values were calculated (deviation 1%). The first sample (uncoated steel) consisted mainly of iron
(93 at.%), also a small amount of oxygen (4 at.%) and other materials, that came from elemental Page 5/13 Page 5/13 composition of steel, were found. Even after 5 cycles the amount of oxygen dramatically increased to
46%, while iron lowered to 50%, and further increase of cycles had no effect to the amount of oxygen in
the sample. This is due to absorbed oxygen during the combustion process, during the burning of straw
pellets. Additionally, low traces of silicon, potassium, calcium and sulfur are found, that are leftover
products of combustion reactions and were not completely removed with ultrasonic cleaning. Al2O3 sample before treatment consisted of aluminum (31 at.%), oxygen (58 at.%), nickel (6 at.%) and
chromium (2 at.%). Also, low amounts of other elements can also be found (carbon, iron, silicon etc.) and
are attributed to impurities within the sample. Chromium and nickel originate from NiCr underlayer, that
was applied before the coating in order to increase the adhesion of the coating. After 20 cycles aluminum
decreased by 4% (to 27 at.%) and oxygen by 1% (to 57 at.%), nickel increased by 2% (to 8 at.%) and
chromium remained the same (2 at.%). This happened due to the increase of other elements (iron, carbon,
silicon etc.) during burning of straw pellets, and because the combustion products could not be
completely removed. Al2O3-13wt.% TiO2 sample consisted of aluminum (22 at.%), oxygen (57 at.%), titanium (4 at.%), nickel
(9 at.%) and chromium (3 at.%). Much like in the Al2O3 sample, nickel and chromium are attributed to NiCr
underlayer and small traces of other elements (carbon, iron, silicon etc.) are found due to impurities of the
sample. Results: However, after 20 cycles the amount of aluminum, titanium and chromium remained the same
(22 at.%, 4 at.% and 3 at.% respectively), while oxygen increased by 2% (to 59 at.%) and nickel decreased
by 1% (to 8 at.%). Also, just as in Al2O3 coating, number of other elements coming from combustion
products increased. The data indicates that addition of titania did increase stability in elemental
composition, since even after 20 heat treatment cycles only amount of oxygen altered by more than 1%. Phase composition of the P265GH steel sample is shown in Fig. 7. Before the treatment there is only 2
peaks of Fe at 2θ = 44.7° and 65.1°, but even after 5 cycles several peaks of Fe3O4 appear and become
the dominant phase. The further increase of heating cycles continues to increase the intensity of Fe3O4
peaks. These results support the previous statement, that steel sample was heavily damaged during the
treatment cycles and protection is necessary under these working conditions. There is noticeably less phase composition change in Al2O3 sample. Firstly, the dominant phase remains
α-Al2O3 with peaks when 2θ = 25.6°, 35.7°, 43.5°, 57.7° and 63.1°. Secondly, another phase of alumina
also apparent, that is γ-Al2O3 at 2θ = 37.4°, 38.9°, 45.8° and 67.1°. The ratio of α-Al2O3 and γ-Al2O3 most
intense peaks before treatment is 1.16 but increases to 2.06 after 20 cycles. This is since α-Al2O3 peak
intensity increased, while γ-Al2O3 remained similar. This happens because the temperature in not high
enough for phase transition reactions from α-Al2O3 to γ-Al2O3 to occur. The temperature is only enough to
initiate transition of amorphous Al2O3 to α-Al2O3. Similar results were found by Dhakar et al [16] where
Al2O3 coating were heat treated at 900 °C. Thirdly, besides alumina there are two more peaks that are
attributed to iron and nickel at 2θ = 44.3°and 51.6°, their intensities remained the same before and after
20 heat cycles. Page 6/13 Addition of titania in the final sample increased stability of phase composition of alumina coating,
therefore even less changes can be observed (Fig. 9). There is a less peaks of α-Al2O3: when 2θ = 35.7°,
43.5° and 63.1°. Also, there are a few γ-Al2O3 peaks at 2θ = 37.4°, 45.8° and 67.1°. The ratio of α-Al2O3 to
γ-Al2O3 the most intense peaks of the coating was 1.46. Results: Meanwhile after 20 cycles of treatment the α-
Al2O3/γ-Al2O3 ratio increased very slightly up to 1.51, which confirms, that the resistance to heat
treatment increased with the addition of titania. Just as in α-Al2O3 sample there are two peaks of at 2θ =
44.3°and 51.6° attributed to the bonding NiCr layer. These results agree with the work of other authors
[17], where no significant changes were observed for γ-Al2O3 phase during the annealing of up to 700 °C
of plasma sprayed NiCrAl/Al2O3-13wt.%TiO2 coatings. The authors obtained only minor changes in the
peak’s intensities of alpha phase. Conclusion: Al2O3, Al2O3-3% TiO2 and Al2O3-13% TiO2 coatings were formed using atmospheric plasma spray
technology. Surface morphology was examined using scanning electron microscopy, and the result show
that most damage was done to the uncoated steel sample, while the samples with both, alumina and
alumina-titania coatings were almost intact. Elemental composition results done by energy dispersive X-
ray spectroscopy indicate, that the steel sample was heavily oxidized after 5 heating cycles, since oxygen
increased from 1–46%. The change of elemental composition in other samples was insignificant. In
Al2O3 coating oxygen decreased from 58–57%, and aluminium decreased from 31–27%. In the Al2O3-
13% TiO2 coating amount of oxygen increased from 57–59%, but aluminium and titanium fraction
remained the same. It was determined that after 5 cycles of treatment the uncoated steel substrate is
heavily oxidized and Fe2O3 becomes the dominant phase. The X-ray diffraction results swho that even
after 20 cycles of heat treatment at 500 °C, the phase composition of Al2O3 coating greatly increased the
thermal and chemical resistance of the P256GH substrate and the addition of titania increased its phase
stability even further. 1. Wang S, Wang Y, Wang M, Jiang S, Xiao TD, Strutt PR, “Abrasive wear characteristics of plasma
sprayed nanostructured alumina/titania coatings.” Wear, 237 (2) 176-185 (2000)
2. Kang JJ, B.S.Xu, Wang CB, Wang HD, “Influence of spraying parameters on the microstructure and
properties of plasma sprayed Al2O3/40%TiO2 coating.” Physics Procedia, 50, 269-176 (2013)
3. Zavareh MA, Sarhan, Ahmed Aly Diaa Mohammed, Razak BBA, Basirun WJ, “Plasma thermal spray
of ceramic oxide coating on carbon steel with enhanced wear and corrosion resistance for oil and
gas applications.” Ceramics International, 40 (9), 14267-14277 (2014)
4. Sun-Hun Y, “Comparative study on wear performance of traditional and nanostructured Al2O3-13
wt.% TiO2 air plasma spray coatings.” Ceramics – Silikaty, 59 (1), 59-63 (2015) References 1. Wang S, Wang Y, Wang M, Jiang S, Xiao TD, Strutt PR, “Abrasive wear characteristics of plasma
sprayed nanostructured alumina/titania coatings.” Wear, 237 (2) 176-185 (2000) 2. Kang JJ, B.S.Xu, Wang CB, Wang HD, “Influence of spraying parameters on the microstructure and
properties of plasma sprayed Al2O3/40%TiO2 coating.” Physics Procedia, 50, 269-176 (2013) 2. Kang JJ, B.S.Xu, Wang CB, Wang HD, “Influence of spraying parameters on the microstructure and
properties of plasma sprayed Al2O3/40%TiO2 coating.” Physics Procedia, 50, 269-176 (2013) 3. Zavareh MA, Sarhan, Ahmed Aly Diaa Mohammed, Razak BBA, Basirun WJ, “Plasma thermal spray
of ceramic oxide coating on carbon steel with enhanced wear and corrosion resistance for oil and
gas applications.” Ceramics International, 40 (9), 14267-14277 (2014) 3. Zavareh MA, Sarhan, Ahmed Aly Diaa Mohammed, Razak BBA, Basirun WJ, “Plasma thermal spray
of ceramic oxide coating on carbon steel with enhanced wear and corrosion resistance for oil and
gas applications.” Ceramics International, 40 (9), 14267-14277 (2014) 4. Sun-Hun Y, “Comparative study on wear performance of traditional and nanostructured Al2O3-13
wt.% TiO2 air plasma spray coatings.” Ceramics – Silikaty, 59 (1), 59-63 (2015) 4. Sun-Hun Y, “Comparative study on wear performance of traditional and nanostructured Al2O3-13
wt.% TiO2 air plasma spray coatings.” Ceramics – Silikaty, 59 (1), 59-63 (2015) Page 7/13 Page 7/13 5. Sreekumar Rajesh T, Venkata Rao R, “Experimental investigation and parameter optimization of
Al2O3-40% TiO2 atmospheric plasma spray coating on SS316 steel substrate.” Materials Today:
Proceedings, 5 (2), 5012-5020 (2018) 6. Li J, Li H, Ke Z, Xue L, Yan Y, “An effective low-temperature strategy for sealing plasma sprayed
Al2O3-based coatings.” Journal of the European Ceramic Society, 38 (4), 1871-1877 (2018) 7. Jia S, Zou Y, Xu J, Wang J, Yu L, “Effect of TiO2 content on properties of Al2O3 thermal barrier
coatings by plasma spraying.” Transactions of Nonferrous Metals Society of China, 25 (1), 175-183
(2015) 8. Sahab ARM, Saad NH, Kasolang S, Saedon J, “Impact of plasma spray variables parameters on
mechanical and wear behaviour of plasma sprayed Al2O3 3%wt TiO2 coating in abrasion and
erosion application.” Procedia Engineering, 41, 1689-1695 (2012) 9. Yugeswaran S, Selvarajan V, Vijay M, Ananthapadmanabhan PV, Sreekumar KP, “Influence of critical
plasma spraying parameter (CPSP) on plasma sprayed Alumina–Titania composite
coatings.” Ceramics International, 36 (1), 141-149 (2010) 9. References Yugeswaran S, Selvarajan V, Vijay M, Ananthapadmanabhan PV, Sreekumar KP, “Influence of critical
plasma spraying parameter (CPSP) on plasma sprayed Alumina–Titania composite
coatings.” Ceramics International, 36 (1), 141-149 (2010) 10. Dejang N, Watcharapasorn A, Wirojupatump S, Niranatlumpong P, Jiansirisomboon S, “Fabrication
and properties of plasma-sprayed Al2O3/TiO2 composite coatings: A role of nano-sized TiO2
addition.” Surface and Coatings Technology, 204 (9), 1651-1657 (2010) 10. Dejang N, Watcharapasorn A, Wirojupatump S, Niranatlumpong P, Jiansirisomboon S, “Fabrication
and properties of plasma-sprayed Al2O3/TiO2 composite coatings: A role of nano-sized TiO2
addition.” Surface and Coatings Technology, 204 (9), 1651-1657 (2010) 11. Fervel V, Normand B, Coddet C, “Tribological behavior of plasma sprayed Al2O3-based cermet
coatings.” Wear, 230(1), 70-77 (1999) 11. Fervel V, Normand B, Coddet C, “Tribological behavior of plasma sprayed Al2O3-based cermet
coatings.” Wear, 230(1), 70-77 (1999) 12. Çelik İ, “Structure and surface properties of Al2O3–TiO2 ceramic coated AZ31 magnesium
alloy.” Ceramics International, 42 (12), 13659-13663 (2016) 12. Çelik İ, “Structure and surface properties of Al2O3–TiO2 ceramic coated AZ31 magnesium
alloy.” Ceramics International, 42 (12), 13659-13663 (2016) 13. Klyatskina E, Rayón E, Darut G, Salvador MD, Sánchez E, Montavon G, “A study of the influence of
TiO2 addition in Al2O3 coatings sprayed by suspension plasma spray.” Surface and Coatings
Technology, 278, 25-29, (2015) 13. Klyatskina E, Rayón E, Darut G, Salvador MD, Sánchez E, Montavon G, “A study of the influence of
TiO2 addition in Al2O3 coatings sprayed by suspension plasma spray.” Surface and Coatings
Technology, 278, 25-29, (2015) 14. Misra V, Chakravarthy Y, Khare N, Singh K, Ghorui S, “Strongly adherent Al2O3 coating on SS 316L:
Optimization of plasma spray parameters and investigation of unique wear resistance behaviour
under air and nitrogen environment.” Ceramics International, 2019, 14. Misra V, Chakravarthy Y, Khare N, Singh K, Ghorui S, “Strongly adherent Al2O3 coating on SS 316L:
Optimization of plasma spray parameters and investigation of unique wear resistance behaviour
under air and nitrogen environment.” Ceramics International, 2019, 15. Zhang K, Ning S, Ren C, Luo X, Dong L, Chen H, He Y, “Improvement of oxidation resistance of spatial-
network Al2O3/YSZ composite coatings by chemical densification.” Surface & Coatings Technology,
266, 105-112 (2015) 16. Wang M, Zhou Z, Yi Y, Wang Z, “Thermal-shock resistance of plasma sprayed Al2O3-13wt%TiO2
coating evaluated by residual strength method.” Surface & Coatings Technology, 375, 888-893
(2019) 17. References Matthews S, Taliana F, James B, “Heat treatment of plasma sprayed Al2O3 and Al2O3-WO3 coatings
between 500 and 1000 °C.” Surface and coatings technology, 212, 109-118 (2012) 18. Valinčius V, Valatkevičius P, Valinčiūtė V, Marcinauskas L, “Electric and thermal characteristics of the
linear, sectional DC plasma generator.” Plasma Sources Science and Technology, 13 (2), 199-206
(2004) Page 8/13 Page 8/13 19. Dhakar B, Namdeo A, Chatterejee S, Sabiruddin K, “Heat treatment of plasma sprayed alumina-
chromia composite coatings.” Surface Engineering, 34:10, 737-746 (2018)
20. Zhang J, Wang Z, Li M Wang Z, Li T, Wang Z, “Adhesion properties and fracture mechanism of
plasma sprayed NiCrAl/Al2O3-13w.%TiO2 coatings by post annealing.” Journal of Adhesion Science
and Technology, 29 (4), 256-270 (2015) 19. Dhakar B, Namdeo A, Chatterejee S, Sabiruddin K, “Heat treatment of plasma sprayed alumina-
chromia composite coatings.” Surface Engineering, 34:10, 737-746 (2018)
20. Zhang J, Wang Z, Li M Wang Z, Li T, Wang Z, “Adhesion properties and fracture mechanism of 19. Dhakar B, Namdeo A, Chatterejee S, Sabiruddin K, “Heat treatment of plasma sprayed alumina-
chromia composite coatings.” Surface Engineering, 34:10, 737-746 (2018) 20. Zhang J, Wang Z, Li M Wang Z, Li T, Wang Z, “Adhesion properties and fracture mechanism of
plasma sprayed NiCrAl/Al2O3-13w.%TiO2 coatings by post annealing.” Journal of Adhesion Science
and Technology, 29 (4), 256-270 (2015) 20. Zhang J, Wang Z, Li M Wang Z, Li T, Wang Z, “Adhesion properties and fracture mechanism of
plasma sprayed NiCrAl/Al2O3-13w.%TiO2 coatings by post annealing.” Journal of Adhesion Scien
and Technology, 29 (4), 256-270 (2015) 19. Dhakar B, Namdeo A, Chatterejee S, Sabiruddin K, “Heat treatment of plasma sprayed alumina-
chromia composite coatings.” Surface Engineering, 34:10, 737-746 (2018) 20. Zhang J, Wang Z, Li M Wang Z, Li T, Wang Z, “Adhesion properties and fracture mechanism of
plasma sprayed NiCrAl/Al2O3-13w.%TiO2 coatings by post annealing.” Journal of Adhesion Science
and Technology, 29 (4), 256-270 (2015) Figure 1 Figure 1 Page 9/13
SEM micrograph of Al2O3 powders Page 9/13
s SEM micrograph of Al2O3 powders SEM micrograph of Al2O3 powders Page 9/13 Figure 2 Figure 2 a) samples in tube with grain pellets, b) metal cylinder with the samples, c) experimental setup. a) samples in tube with grain pellets, b) metal cylinder with the samples, c) experimental setup. Figure 3 Figure 3 Temperature graph measured by thermocouples in metal cylinder Temperature graph measured by thermocouples in metal cylinder Temperature graph measured by thermocouples in metal cylinder Page 10/13 Figure 4
SEM micrographs of steel sample, before a) and after b) 20 heating cycles
Figure 5
SEM micrographs of Al2O3 sample, before a) and after b) 20 heating cycles Figure 4 SEM micrographs of steel sample, before a) and after b) 20 heating cycles SEM micrographs of steel sample, before a) and after b) 20 heating cycles
Figure 5
SEM micrographs of Al2O3 sample, before a) and after b) 20 heating cycles Figure 5 SEM micrographs of Al2O3 sample, before a) and after b) 20 heating cycles Page 11/13 Figure 6
SEM micrographs of Al2O3-13%TiO2 sample, before a) and after b) 20 heating cycles Figure 6
SEM micrographs of Al2O3-13%TiO2 sample, before a) and after b) 20 heating cycles Figure 6
SEM micrographs of Al2O3-13%TiO2 sample, before a) and after b) 20 heating cycles Figure 6 SEM micrographs of Al2O3-13%TiO2 sample, before a) and after b) 20 heating cycles EM micrographs of Al2O3-13%TiO2 sample, before a) and after b) 20 heatin Page 12/13
g
p
p ,
)
)
g y X-ray diffraction pattern before and after 5 and 20 treatment cycles of steel sample. Fig 8. Al2O3 coating
Fig. 9 Al2O3 – 13%wt.%TiO2 coating Figure 7 X-ray diffraction pattern before and after 5 and 20 treatment cycles of steel sample. Fig 8. Al2O3 coating
Fig. 9 Al2O3 – 13%wt.%TiO2 coating Page 13/13
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https://www.nature.com/articles/s41598-021-92879-5.pdf
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miRNA-1246 in Extracellular Vesicles Secreted from Metastatic Tumor Induces Drug Resistance in Tumor Endothelial Cells
|
Research Square (Research Square)
| 2,020
|
cc-by
| 12,090
|
miRNA‑1246 in extracellular
vesicles secreted from metastatic
tumor induces drug resistance
in tumor endothelial cells Chisaho Torii1,2,3,9, Nako Maishi1,2,4,9, Taisuke Kawamoto1,9, Masahiro Morimoto2,4,5,
Kosuke Akiyama1, Yusuke Yoshioka6, Takashi Minami7, Takuya Tsumita4,
Mohammad Towfik Alam1,2,4, Takahiro Ochiya6, Yasuhiro Hida8 & Kyoko Hida1,2,4* Chisaho Torii1,2,3,9, Nako Maishi1,2,4,9, Taisuke Kawamoto1,9, Masahiro Morimoto2,4,5,
Kosuke Akiyama1, Yusuke Yoshioka6, Takashi Minami7, Takuya Tsumita4,
Mohammad Towfik Alam1,2,4, Takahiro Ochiya6, Yasuhiro Hida8 & Kyoko Hida1,2,4* Tumor endothelial cells (TECs) reportedly exhibit altered phenotypes. We have demonstrated that
TECs acquire drug resistance with the upregulation of P-glycoprotein (P-gp, ABCB1), contrary to
traditional assumptions. Furthermore, P-gp expression was higher in TECs of highly metastatic
tumors than in those of low metastatic tumors. However, the detailed mechanism of differential P-gp
expression in TECs remains unclear. miRNA was identified in highly metastatic tumor extracellular
vesicles (EVs) and the roles of miRNA in endothelial cell resistance were analyzed in vitro and in vivo. In the present study, we found that treatment of highly metastatic tumor-conditioned medium
induced resistance to 5-fluorouracil (5-FU) with interleukin-6 (IL-6) upregulation in endothelial cells
(ECs). Among the soluble factors secreted from highly metastatic tumors, we focused on EVs and
determined that miR-1246 was contained at a higher level in highly metastatic tumor EVs than in low
metastatic tumor EVs. Furthermore, miR-1246 was transported via the EVs into ECs and induced IL-6
expression. Upregulated IL-6 induced resistance to 5-FU with STAT3 and Akt activation in ECs in an
autocrine manner. These results suggested that highly metastatic tumors induce drug resistance in
ECs by transporting miR-1246 through EVs. Abbreviations
TECs
Tumor endothelial cells
P-gp
P-glycoprotein
ABCB1
ATP-binding cassette sub-family B member 1
EVs
Extracellular vesicles
5-FU
5-Fluorouracil
IL-6
Interleukin-6
ECs
Endothelial cells
VEGF
Vascular endothelial growth factor
NECs
Normal endothelial cells
miRNA
Micro RNA
HMVECs
Human dermis microvascular endothelial cells
MEM
Minimum essential medium
FBS
Fetal bovine serum 1Department of Vascular Biology, Hokkaido University Graduate School of Dental Medicine, Sapporo 060‑8586,
Japan. 2Vascular Biology, Frontier Research Unit, Institute for Genetic Medicine, Hokkaido University,
Sapporo 060‑0815, Japan. 3Department of Oral and Maxillofacial Surgery, Hokkaido University Graduate School of
Dental Medicine, Sapporo 060‑8586, Japan. 4Department of Vascular Biology and Molecular Pathology, Hokkaido
University Graduate School of Dental Medicine, Sapporo 060‑8586, Japan. 5Department of Oral Diagnosis and
Medicine, Hokkaido University Graduate School of Dental Medicine, Sapporo 060‑8586, Japan. 6Institute of
Medical Science, Tokyo Medical University, Tokyo 160‑0023, Japan. 7Division of Molecular and Vascular Biology,
Institute of Resource Development and Analysis, Kumamoto University, Kumamoto 860‑0811, Japan. www.nature.com/scientificreports www.nature.com/scientificreports 8Dep
of Cardiovascular and Thoracic Surgery, Hokkaido University Faculty of Medicine, Sapporo 060‑8638, Japa
authors contributed equally: Chisaho Torii, Nako Maishi and Taisuke Kawamoto. *email: khida@den.hoku ts | (2021) 11:13502
| https://doi.org/10.1038/s41598-021-92879-5
miRNA‑1246 in extracellular
vesicles secreted from metastatic
tumor induces drug resistance
in tumor endothelial cells
Chisaho Torii1,2,3,9, Nako Maishi1,2,4,9, Taisuke Kawamoto1,9, Masahiro Morimoto2,4,5,
Kosuke Akiyama1, Yusuke Yoshioka6, Takashi Minami7, Takuya Tsumita4,
Mohammad Towfik Alam1,2,4, Takahiro Ochiya6, Yasuhiro Hida8 & Kyoko Hida1,2,4*
Tumor endothelial cells (TECs) reportedly exhibit altered phenotypes. We have demonstrated t
TECs acquire drug resistance with the upregulation of P-glycoprotein (P-gp, ABCB1), contrary t
traditional assumptions. Furthermore, P-gp expression was higher in TECs of highly metastatic
tumors than in those of low metastatic tumors. However, the detailed mechanism of differenti
expression in TECs remains unclear. miRNA was identified in highly metastatic tumor extracellu
vesicles (EVs) and the roles of miRNA in endothelial cell resistance were analyzed in vitro and in
In the present study, we found that treatment of highly metastatic tumor-conditioned medium
induced resistance to 5-fluorouracil (5-FU) with interleukin-6 (IL-6) upregulation in endothelial
(ECs). Among the soluble factors secreted from highly metastatic tumors, we focused on EVs a
determined that miR-1246 was contained at a higher level in highly metastatic tumor EVs than
metastatic tumor EVs. Furthermore, miR-1246 was transported via the EVs into ECs and induce
expression. Upregulated IL-6 induced resistance to 5-FU with STAT3 and Akt activation in ECs i
autocrine manner. These results suggested that highly metastatic tumors induce drug resistanc
ECs by transporting miR-1246 through EVs. Abbreviations
TECs
Tumor endothelial cells
P-gp
P-glycoprotein
ABCB1
ATP-binding cassette sub-family B member 1
EVs
Extracellular vesicles
5-FU
5-Fluorouracil
IL-6
Interleukin-6
ECs
Endothelial cells
VEGF
Vascular endothelial growth factor
NECs
Normal endothelial cells
miRNA
Micro RNA
HMVECs
Human dermis microvascular endothelial cells
MEM
Minimum essential medium
FBS
Fetal bovine serum
OPEN
1Department of Vascular Biology, Hokkaido University Graduate School of Dental Medicine, Sapporo 0
Japan. 2Vascular Biology, Frontier Research Unit, Institute for Genetic Medicine, Hokkaido U
Sapporo 060‑0815, Japan. 3Department of Oral and Maxillofacial Surgery, Hokkaido University Graduate S
Dental Medicine, Sapporo 060‑8586, Japan. 4Department of Vascular Biology and Molecular Pathology, H
University Graduate School of Dental Medicine, Sapporo 060‑8586, Japan. 5Department of Oral Diagn
Medicine, Hokkaido University Graduate School of Dental Medicine, Sapporo 060‑8586, Japan. 6Ins
Medical Science, Tokyo Medical University, Tokyo 160‑0023, Japan. 7Division of Molecular and Vascular
Institute of Resource Development and Analysis, Kumamoto University, Kumamoto 860‑0811, Japan. miRNA‑1246 in extracellular
vesicles secreted from metastatic
tumor induces drug resistance
in tumor endothelial cells 8Department
of Cardiovascular and Thoracic Surgery, Hokkaido University Faculty of Medicine, Sapporo 060‑8638, Japan. 9These
authors contributed equally: Chisaho Torii, Nako Maishi and Taisuke Kawamoto. *email: khida@den.hokudai.ac.jp | https://doi.org/10.1038/s41598-021-92879-5 Scientific Reports | (2021) 11:13502 www.nature.com/scientificreports/ FITC
Fluorescein isothiocyanate
GAPDH
Glyceraldehyde-3-phosphate dehydrogenase
AR
Androgen receptor
UNC5B
Unc-5 netrin receptor B
CTSC
Cathepsin C
CM
Conditioned medium
PBS
Phosphate buffered saline
BCA
Bicinchoninic acid
NC
Negative control
RIPA
Radio immunoprecipitation assay
HRP
Horseradish peroxidase
IPA
Ingenuity pathway analysis
MDR-1
Multidrug resistance 1 Tumor blood vessels contribute to tumor growth by providing nutrition and oxygen1 and play important roles
in tumor progression and metastasis. Anti-angiogenic therapy has been proposed as a novel anti-cancer strategy
more than decades ago2. Current anti-angiogenic therapies mostly target vascular endothelial growth factor
(VEGF) and its receptors, which have prolonged cancer patients’ overall survival. On another note, recent clini-
cal studies have shown the limited results of these drugs. These agents sometimes cause adverse effects, such
as lethal hemoptysis3,4 and intestinal perforation5–7, because the VEGF pathway is also important for normal
endothelial cells (NECs)8, and drug resistance has been reported. Traditionally, it is considered that the advantage
of targeting endothelial cells (ECs) rather than tumor cells is that unlike tumor cells, ECs are genetically stable
and do not develop drug resistance9,10. However, there have been reports showing that tumor endothelial cells
(TECs) themselves may acquire resistance to these drugs11. Indeed, cytogenetically abnormal TECs were also
detected in malignant tumors, such as lymphoma12. We also previously reported that TECs show a degree of
cytogenetic abnormalities, such as aneuploidy or abnormal centrosomes, in mouse tumors13 and human renal
carcinomas14. These abnormalities were not caused by tumor cell contamination13 but may be affected by the
tumor microenvironment. These cytogenetic abnormalities are suggestive of the genetic instability of TECs,
predicting the possibility that TECs may acquire drug resistance. p
g
p
y
y
q
g
Several TECs are resistant to certain drugs15,16. For example, renal carcinoma ECs are resistant to vincristine15,
whereas hepatocellular carcinoma ECs are resistant to 5-fluorouracil (5-FU)17. We recently demonstrated that
TECs are resistant to paclitaxel with ABCB1 upregulation, which is a drug transporter. We revealed that VEGF
secreted from tumor cells induced P-gp expression in ECs18,19. It was also demonstrated that TEC phenotypes,
such as drug resistance, chromosomal abnormality, or stemness, are different depending on tumor malignancy20,
suggesting that tumor-secreting factors may induce resistance in ECs18. Naito et al. miRNA‑1246 in extracellular
vesicles secreted from metastatic
tumor induces drug resistance
in tumor endothelial cells reported that there are TECs
that express P-gp and cause resistance to anti-angiogenic drugs21. Taken together, TECs clearly acquire drug
resistance; however, the detailed mechanism of acquiring drug resistance in TECs has remained unknown.f Cancer cells have been known to secrete extracellular vesicles (EVs), including exosomes, and these EVs affect
tumor progression and metastasis22–24. EV is a general term for exosomes or microvesicles that vary from 50 to
1000 nm in diameter. These vesicles contain protein, mRNA, or micro RNA (miRNA) inside, and EVs play a
role in intercellular communication25. We have reported that tumor-derived EVs enhanced proangiogenic phe-
notypes in ECs26. Regarding the effect of EVs on ECs, tumor-derived EVs reportedly enhanced brain metastasis
by altering the brain–blood barrier27. Hsu et al. reported that EVs that were secreted from hypoxic lung cancer
cells increased angiogenesis and permeability in ECs28. However, the mechanisms of TEC abnormality related
to tumor EVs still lack elucidation. Recently, miRNAs have emerged as key regulators of multiple physiologic and pathologic cellular responses,
and multiple reports have implicated miRNA in cancer pathogenesis. Additionally, miRNAs represent a class of
small (20–25 nucleotides), non-coding RNAs that generally inhibit several target messenger RNAs by repress-
ing the translation of deducing mRNA stability29. Furthermore, miRNA is exported to extracellular spaces by
EVs or by forming complexes with protein or lipids30,31, and then, extracellular miRNAs contribute to cell–cell
communication. However, miRNA function in tumor-derived EVs on ECs in primary tumors remains unclear. In the present study, we identified that miR-1246 was more contained in highly metastatic tumor-derived EVs
than in lowly metastatic tumor EVs, and the role of this EV miR-1246 in acquiring drug resistance was elucidated. y
g
p
p
p
communication. However, miRNA function in tumor-derived EVs on ECs in primary tumors remains unclear. In the present study, we identified that miR-1246 was more contained in highly metastatic tumor-derived EVs
than in lowly metastatic tumor EVs, and the role of this EV miR-1246 in acquiring drug resistance was elucidated. p
y
In the present study, we identified that miR-1246 was more contained in highly metastatic tumor-derived
than in lowly metastatic tumor EVs, and the role of this EV miR-1246 in acquiring drug resistance was elucid www.nature.com/scientificreports/ Sigma, St Louis, MO, USA). Human cervical cancer cell HeLa, human oral squamous carcinoma cell HSC-3,
human renal clear cell carcinoma cell OS-RC-2, and human colon carcinoma cell HCT119 were purchased from
RIKEN Cell Bank (Tsukuba, Japan). Neonatal human foreskin fibroblast BJ was purchased from ATCC. The
Hela, HSC-3, HCT119, and BJ cells were cultured in Dulbecco’s modified eagle medium (Sigma) supplemented
with 10% FBS. The OS-RC-2 cells were cultured in RPMI1640 medium (Sigma–Aldrich) with 10% FBS. Normal
human epidermal melanocytes were purchased from Kurabo Industries Ltd. (Osaka, Japan) and cultured in
melanocyte growth medium (PromoCell, Germany).hth y
g
(
y)
The TECs were isolated from tumors that were subcutaneously xenografted with A375 or A375SM. The NECs
were isolated from the dermis of tumor-free nude mice, as previously described13. Furthermore, ECs were isolated
using a magnetic cell sorter device (Miltenyi Biotec, Bergisch Gladbach, Germany) and a flow cytometer (FACS
Aria II; BD Biosciences, San Jose, CA, USA) using an anti-CD31 antibody after removing leukocytes with an
anti-CD45 antibody. The CD31-positive cells were sorted and seeded on 1.5% gelatin-coated culture plates with
EGM-2MV containing 15% FBS. After EC isolation, diphtheria toxin (500 ng/mL; Calbiochem, San Diego, CA,
USA) was added to the TEC subcultures to eliminate the remaining human tumor cells and NEC subcultures
for technical consistency. The subcultured ECs were sorted through the second round of purification using
fluorescein isothiocyanate (FITC)-conjugated Bandeiraea simplicifolia lectin–isolectin B4 (Vector Laboratories,
Burlingame, CA, USA). The cells were cultured at 37 ℃ in a humidified atmosphere containing 5% CO2. RT‑PCR and real‑time PCR. Total RNA was extracted from each EC type using the ReliaPrep RNA Cell
Miniprep System (Promega, Madison, WI, USA). First-strand cDNA was synthesized using ReverTra-Plus
(Toyobo Co., Osaka, Japan). Real-time RT-PCR was conducted using the KAPA SYBR Fast qPCR Kit (Nippon
Genetics, Tokyo, Japan). The cycling conditions were done according to the manufacturer’s instructions, and
the CFX Manager (Bio-Rad, Hercules, CA, USA) was used for analysis. The expression levels were normalized
to glyceraldehyde-3-phosphate dehydrogenase (GAPDH) levels and were analyzed using the 2−∆∆Ct. www.nature.com/scientificreports/ The prim-
ers used were as follows: mouse GAPDH: forward, 5′-TCTGACGTGCCGCCTGGAG-3′; reverse, 5′-TCGCAG
GAGACAACCTGGTC-3′, human GAPDH: forward, 5′-ACAGTCAGCCGCATCTTCTT-3′; reverse, 5′-GCC
CAATACGACCAAATCC-3′, mouse interleukin-6 (IL-6): forward, 5′-AGCTGGAGTCACAGAAGGAGTGGC
-3′; reverse, 5′-GGCATAACGCACTAGGTTTGCCGAG-3′, human IL-6: forward, 5′-TACCCCCAGGAGAAG
ATTCC-3′; reverse, 5′-TTTTCTGCCAGTGCCTCTTT-3′, human androgen receptor (AR): forward, 5′-GAC
TGCCAGGGACCATGTTTTG-3′; reverse, 5′-GCGCACAGGTACTTCTGTTTCC-3′, human unc-5 netrin
receptor B (UNC5B): forward, 5′-ACAAGGCAGAAAGTACCCTCCC-3′; reverse, 5′-GTTCAGGGTCTCCTC
ATCCAGG-3′, human cathepsin C (CTSC): forward, 5′-AACTGGCCATGAACAGACGTTGGGG-3′; reverse,
5′-AGCTGCCTTGGAGGTAGGTCACCAG-3′. Tumor‑conditioned medium (CM) preparation. The tumor CM was collected from the culture super-
natant of the tumor cells (A375SM or A375 cells) as previously described18. Briefly, the tumor cells (1 × 106 cells)
were cultured in 10% FBS MEM for 24 h. The tumor CM was obtained from culture supernatant after passing
through a 0.22 μm syringe filter (Millipore, Billerica, MA, USA). The control CM was collected from the culture
supernatant from HMVECs in 10% FBS MEM in the same way as tumor CM. The HMVECs were treated with
tumor CM or control CM in several periods in each experiment. When the cells were treated for 5 days, the
medium was changed to freshly collected CM at the third day. The IL-6 level in each CM was measured using an
IL-6 ELISA kit (R&D systems, Q6000B, Minneapolis, MN). DNA microarray. HMVECs were treated with tumor CM or control CM for 1, 8, and 24 h. Total RNA was
extracted from each treated cell as described in the previous text. DNA microarray was conducted according
to the manufacturer’s instructions (Thermo Fisher, Affymetrix) as previously described33. Data were analyzed
according to the MIAME rule. The NCBI accession number for the array data reported in this paper is GSE49426. Preparation and characterization of EVs from tumor cell culture supernatant. A375 and
A375SM cells (3 × 106 cells) were cultured on a 15 cm-cell culture dish for 48 h in 20 mL of MEM supplemented
with 10% EV-depleted FBS. EV-depleted FBS was prepared by ultracentrifugation at 110,000×g using Beckman
45Ti rotor for 70 min at 4℃. HMVECs were cultured for 48 h in EBM2 supplemented with 5% EV-depleted FBS. The CM was centrifuged at 2000×g for 10 min at 4 ℃, and the supernatant was filtered through a 0.22 μm filter
unit (Thermo Scientific Nalgene) to thoroughly remove the cellular debris. Methods
Mi
S Mice. Six week-old female nude mice (BALB/c AJcl-nu/nu, Clea, Japan) were housed under specific-path-
ogen-free conditions. All procedures for animal care and experimentation adhered to institutional guidelines
with the approval of the Hokkaido University Animal Committee and were carried out in compliance with the
ARRIVE guidelines. Cell lines and culture conditions. Human dermis microvascular endothelial cells (HMVECs) were
obtained from Lonza (Lonza, Basel, Switzerland) and cultured in EC growth medium for microvascular cells
(EGM-2MV) (Lonza). A375 cells were obtained from American Type Culture Collection (ATCC) (Manas-
sas, VA). A375SM cells (super metastatic human melanoma cells) were kindly provided by Dr. Isaiah J. Fidler,
M.D. (Anderson Cancer Center, Houston, TX)32. A375 and A375SM cells were cultured in minimum essential
medium (MEM) (Gibco, Grand Island, NY) supplemented with 10% heat-inactivated fetal bovine serum (FBS, https://doi.org/10.1038/s41598-021-92879-5 Scientific Reports | (2021) 11:13502 | www.nature.com/scientificreports/ www.nature.com/scientificreports/ Then, to prepare EVs, the superna-
tant was ultracentrifuged (110,000×g, 70 min at 4 ℃) using Beckman 45Ti rotor, the pellet was washed twice with
phosphate buffered saline (PBS) by ultracentrifugation at 110,000×g using Beckman 45Ti rotor for 70 min at 4
℃, and EVs were eluted in 200 μL of PBS. The Micro bicinchoninic acid (BCA) Protein Assay Kit (Thermo Sci-
entific, MA, USA) was used to measure the protein concentration. The isolated EVs were characterized through
nanoparticle tracking analysis (Nanosight: Quantum Design, Japan) and western blot procedure with anti-CD9
(1:500, Santa Cruz, #59140), anti-CD63 (1:500, Biolegend, #353013), anti-Cytochrome C (1:500, BD Pharmin-
gen, #556433) antibodies, and anti-Mouse Anti-Hsp70 (1:1000, BD Pharmingen, #610607). Scientific Reports | (2021) 11:13502 | https://doi.org/10.1038/s41598-021-92879-5 www.nature.com/scientificreports/ Nanoparticle tracking analysis (NTA). All NTA measurements were performed using the NS300 unit
(Malvern) equipped with a 488 nm laser and the camera sCOMOS. All samples were diluted to provide a con-
centration of 1 × 109 particles/mL counted using NTA. For each run about 1 mL of the sample was injected into
the chamber with a sterile 1-mL syringe controlled via an external syringe pump (syringe pump speed/AU:30). NTA 3.4 software was used for all analysis, using standard settings. In the analysis the mode size (main peak),
mean size and its standard derivation values were obtained. All counts were performed in replicates of 5 for each
sample, collecting 30 s videos. Observation of isolated EVs. The observation of EVs was based on the method reported by Yamashita
et al.35. EVs were fixed with 4% paraformaldehyde (PFA) for 30 min and then placed on a grid (PVF-C15 STEM
Cu150 Grid, Okenshoji, Tokyo, Japan) for 20 min. The grids were treated with 1% glutaraldehyde for 2 min and
washed 8 times with dH2O. They were stained with 1% uranyl acetate for 10 min. EVs were visualized with a
transmission electron microscope (JEM-1400, JEOL, Tokyo, Japan). miRNA array. For CM-derived miRNA analysis, the CM collected by culturing normal cells (BJs, melano-
cytes, and HMVECs) and tumor cells (A375, A375SM, HSC-3, OS-RC-2, and Hela) with serum-free medium
(1 × 105 cells, 1 mL/9 cm2) for 48 h were used. The CM was centrifuged at 200×g for 5 min, and then, the super-
natant was further centrifuged at 2000×g for 15 min at 4 ℃, and after centrifugation, 200 μL of the supernatant
was collected. www.nature.com/scientificreports/ The total RNA extraction method for miRNA analysis using the miRNeasy mini kit (QIAGEN,
Netherlands) is briefly shown in the succeeding text. Then, 200 μL of CM was mixed with 1 mL of QIAZOL
(QIAGEN, Netherlands) and allowed to stand for 3 min. The mixed solution was vigorously mixed with 140 μL
of chloroform and allowed to stand for 10 min. The mixed solution was centrifuged at 15,000×g for 15 min, and
600 μL of the supernatant was collected. Then, 900 μL of ethanol was added to the supernatant, and the miRNA
was purified by the same method as mRNA. The final volume of the total RNA solution was adjusted to 30 μL
and used for array analysis. EV-derived RNA extraction was carried out in the same method as CM after adjust-
ing the EVs to 50 μg/200 μL with PBS. For comprehensive analysis of CM and EV-derived miRNA, 3-D Gene
miRNA Microarray Platform was used (Toray, Japan). The miRNA array data were normalized using the global
normalization method and used for subsequent analysis. Analysis of miR‑1246 level in EVs and cells in vitro. To analyze the miR-1246 level in EVs, the EVs
were collected from the CM of NECs (HMVEC) and tumor cells (A375 and A375SM cells) as described in the
previous text. QIAZOL was mixed with the EV solution, and cel-miR-39 (Hokkaido System Science, Japan) was
added (final concentration: 1 nM). Afterward, the total RNA was extracted as described in the previous text. The cells were seeded on six-well plates at 1 × 105 cells/well to analyze the miR-1246 level. Then, 500 µL of QIA-
ZOL was added to the cells, and the total RNA was extracted as described in the previous text. To analyze the
miR-1246 level, real-time RT-PCR was conducted using TaqMan MicroRNA Assays (Applied Biosystems, CA,
USA) and a Universal PCR Master Mix II (Applied Biosystems), according to the manufacturer’s instructions. The cycling conditions were done according to the manufacturer’s instructions, and the CFX Manager program
(Bio-Rad) was used for analysis. The primers and probes were defined as miR-1246 (Assay ID: CSN1EFS). Cel-
miR-39 (Assay ID: 000200; UCACCGGGUGUAAAUCAGCUUG) level was used as the external control and
RNU6B (Assay ID; 001093; CGCAAGGATGACACGCAAATTCGTGAAGCGTTCCATATTTTT) was used as
internal control. Analysis of miR‑1246 level in EVs from human blood samples.
Human melanoma patients’ serum
amples were purchased from BizComJapan, Inc. The cell death was measured by FACS Aria II (BD) and calculated as relative
cell ratio using three different experiments data. The HMVECs were treated with recombinant IL-6 (10 ng/mL)
or anti-IL-6 receptor antibody (1 μg/mL) for 5 days and then treated with 5-FU (10 μM). Measurement of dead cells. After 24 h of miR-1246 transfection, the HMVECs were treated with 5-FU
(10 μM). The cells were stained with FITC-annexin V and propidium iodide using an Annexin V-FLUOS stain-
ing kit (Roche, Basel, Switzerland). The cell death was measured by FACS Aria II (BD) and calculated as relative
cell ratio using three different experiments data. The HMVECs were treated with recombinant IL-6 (10 ng/mL)
or anti-IL-6 receptor antibody (1 μg/mL) for 5 days and then treated with 5-FU (10 μM). Cell survival under 5‑FU treatment. Each cell was seeded on 96-well plate at 5 × 103 cells/well in EGM-
2MV. After 6 h, 5-FU was added to the medium. Cell survival was measured through MTS [3-(4,5-dimethylthyl-
thiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium] assay (Promega) at 72 h. siRNA transfection. UNC5B or AR siRNA was transfected using lipofectamine transfection reagent (Inv-
itrogen, Tokyo, Japan), according to the manufacturer’s instructions. UNC5B siRNA (UNC5B si#1: 5′-UAC
GUGUUCACGGGCGAGUCCUAUU-3′,
5′-AAUAGGACUCGCCCGUGAACACGUA-3′,
UNC5B
si#2:
5′-UCCACAGAGCUCACCUGCAAGAUCU-3′, 5′-AGAUCUUGCAGGUGAGCUCUGUGGA-3′, UNC5B
si#3:
5′-GAGGGCCAGAUAUUCCAGCUGCAUA-3′,
5′-UAUGCAGCUGGAAUAUCUGGCCCUC-3′)
(HSS137260, 137261, 137262, stealth, Thermo Fisher Scientific, USA) and AR siRNA (AR si#1: 5′-GACUCC
UUUGCAGCCUUGCUCUCUA-3′, 5′-UAGAGAGCAAGGCUGCAAAGGAGUC-3′, AR si#2: 5′-GAUGAA
GCUUCUGGGUGUCACUAUG-3′, 5′-CAUAGUGACACCCAGAAGCUUCAUC-3′, AR si#3: 5′-CCGGAA
GCUGAAGAAACUUGGUAAU-3′, 5′-AUUACCAAGUUUCUUCAGCUUCCGG-3′) (HSS100619, 179972,
179973, stealth, Thermo Fisher Scientific, USA). Non-targeting siRNA (Invitrogen) was used as control. Western blotting. The cells and EVs were lysed using radio immunoprecipitation assay (RIPA) buffer (Cell
Signaling Technology). The total protein concentration was determined using a BCA Protein Assay kit (Pierce,
Rockford, IL, USA). Equal amounts of whole protein extracts (10 μg for EVs and 20 μg for others) were sepa-
rated on SDS-PAGE gels (10% for STAT3 and Akt and 12% for IL-6 analyses). Western blotting was conducted
according to standard methods using antibodies specific for STAT3 (Cell Signaling Technology, 12640S, Beverly,
MA), pSTAT3 (Cell Signaling Technology, 9145S), Akt (Cell Signaling Technology, 4685S), pAkt (Cell Signaling
Technology, 4060S), IL-6 (Abcam, ab6672), β-actin (Cell Signaling Technology, 4970L), and a horseradish per-
oxidase (HRP)-conjugated secondary antibody as previously described20. The signals were detected using ECL
Western Blotting Detection Reagent (GE Healthcare, Little Chalfont, UK) and LAS-4000 Mini image analyzer
(FUJIFILM, Tokyo, Japan). Statistical analysis. Analysis of miR‑1246 level in EVs from human blood samples.
Human melanoma patients’ serum
amples were purchased from BizComJapan, Inc. The cells were harvested 48 h after transfection, and the Rennila luciferase activity
was measured and normalized to the firefly luciferase activity using the Dual-Glo Luciferase Assay System (Pro-
mega). Relative luminescence was obtained by normalizing the values against the transfection of the NC mimic
group. All assays were repeated at least three times, and the representative results are shown. system (Promega) and ligated into the Not I site of the 3′ UTR of the Rennila luciferase gene in the psiCHECK™-2
plasmid (Promega). The following primer sequences were used (shown 5′ to 3′): For vector 1, forward: CACTGT
GTTTGCTAGTGCCC, reverse: CATCAGGTGTGATCTGGAAC. For vector 2, forward: CCCACCTGTCTC
TTAGCCTG, reverse: CAAATCTGGCCTGTCACCTC. The HEK293 cells were cultured overnight in 96-well
tissue culture plates at densities of 1 × 104 cells/well, respectively, and each construct was co-transfected with
hsa-miR-1246 mimic or negative control (NC) mimic using the DharmaFECT Duo Transfection Reagent (Dhar-
macon, Horizon Discovery). The cells were harvested 48 h after transfection, and the Rennila luciferase activity
was measured and normalized to the firefly luciferase activity using the Dual-Glo Luciferase Assay System (Pro-
mega). Relative luminescence was obtained by normalizing the values against the transfection of the NC mimic
group. All assays were repeated at least three times, and the representative results are shown. system (Promega) and ligated into the Not I site of the 3′ UTR of the Rennila luciferase gene in the psiCHECK™-2
plasmid (Promega). The following primer sequences were used (shown 5′ to 3′): For vector 1, forward: CACTGT
GTTTGCTAGTGCCC, reverse: CATCAGGTGTGATCTGGAAC. For vector 2, forward: CCCACCTGTCTC
TTAGCCTG, reverse: CAAATCTGGCCTGTCACCTC. The HEK293 cells were cultured overnight in 96-well
tissue culture plates at densities of 1 × 104 cells/well, respectively, and each construct was co-transfected with
hsa-miR-1246 mimic or negative control (NC) mimic using the DharmaFECT Duo Transfection Reagent (Dhar-
macon, Horizon Discovery). The cells were harvested 48 h after transfection, and the Rennila luciferase activity
was measured and normalized to the firefly luciferase activity using the Dual-Glo Luciferase Assay System (Pro-
mega). Relative luminescence was obtained by normalizing the values against the transfection of the NC mimic
group. All assays were repeated at least three times, and the representative results are shown. Measurement of dead cells. After 24 h of miR-1246 transfection, the HMVECs were treated with 5-FU
(10 μM). The cells were stained with FITC-annexin V and propidium iodide using an Annexin V-FLUOS stain-
ing kit (Roche, Basel, Switzerland). Analysis of miR‑1246 level in EVs from human blood samples.
Human melanoma patients’ serum
amples were purchased from BizComJapan, Inc. All data are expressed as the mean ± standard deviation of triplicate independent
experiments. Statistical significance was determined using unpaired Student’s t test between two groups or one-
way ANOVA followed by Tukey’s test. p values less than 0.05 were considered statistically significant. Ethics approval and consent to participate. The investigation was conducted in accordance with the
ethical standards, the Declaration of Helsinki, and national and international guidelines. All methods have been
approved by the Institutional Ethics Committee of Hokkaido University (Sapporo, Hokkaido, Japan), and writ-
ten informed consent was obtained from each patient before surgery. All procedures for animal care and experi-
mentation adhered to institutional guidelines and were approved by the local animal research authorities. Analysis of miR‑1246 level in EVs from human blood samples.
Human melanoma patients’ serum
amples were purchased from BizComJapan, Inc. p
p
p
400 μL of serum was ultracentrifuged (210,000×g, 40 min at 4 ℃) using Beckman SW55Ti rotor, the pellet
was washed twice with PBS, and EVs were eluted in 100 μL of PBS. miRNA analysis methods were as described
in the previous text, and hsa-miR-451 (Assay ID: 001105; AAACCGUUACCAUUACUGAGUUU) was used as
an internal control. Uptake of EVs‑derived miR‑1246. The HMVECs were cultured for 24 h with EV-free EBM2 (serum
concentration: 5%) and pretreated with the endocytosis inhibitor dynasore (20 µM) for 2 h. The EVs were added
at a concentration of 50 μg/mL, and the miR-1246 level was analyzed through qPCR after 12 h. miR‑1246 transfection. The HMVECs were seeded on six-well plates at 1 × 105 cells/well. After 24 h,
miRIDIAN microRNA Human hsa-miR-1246-Mimic (CN-001040, Dharmacon, GE Dharmacon, Lafayette,
CO, USA) and miRIDIAN microRNA Mimic Negative Control (CN-001000-01-05) were transfected into the
HMVECs using Lipofectamine RNAiMAX (Invitrogen, Carlsbad, CA, USA) to a final concentration of 50 nM,
respectively. After 6 h, the medium was replaced and used for subsequent analysis. 3′ UTR reporter assay. A 328-base pair fragment (vector 1) and a 264-base pair fragment (vector 2) from
the 3′ UTR of AR, which contained the predicted target sequences of miR-1246 (located at positions 4714 to 4719
(vector 1), 5870 to 5874 (vector 2), and 5903 to 5908 (vector 2) of the AR 3′ UTR), was cloned through PCR from
the total RNA isolated from HEK293 cells. A 3′ polyadenylate overhang was added to the PCR products after
15 min of regular Taq polymerase treatment at 72 ℃. The PCR products were cloned into a pGEM®-T Easy Vector https://doi.org/10.1038/s41598-021-92879-5 Scientific Reports | (2021) 11:13502 | www.nature.com/scientificreports/ system (Promega) and ligated into the Not I site of the 3′ UTR of the Rennila luciferase gene in the psiCHECK™-2
plasmid (Promega). The following primer sequences were used (shown 5′ to 3′): For vector 1, forward: CACTGT
GTTTGCTAGTGCCC, reverse: CATCAGGTGTGATCTGGAAC. For vector 2, forward: CCCACCTGTCTC
TTAGCCTG, reverse: CAAATCTGGCCTGTCACCTC. The HEK293 cells were cultured overnight in 96-well
tissue culture plates at densities of 1 × 104 cells/well, respectively, and each construct was co-transfected with
hsa-miR-1246 mimic or negative control (NC) mimic using the DharmaFECT Duo Transfection Reagent (Dhar-
macon, Horizon Discovery). Results (E) Dead cells were analyzed through
flow cytometry using PI under 5-FU treatment condition for 72 h after treatment with recombinant IL-6 and/
or IL-6R neutralizing antibody (NA) in HMVECs for 5 days. Data are presented as mean ± SD, n = 3. (F) After
stimulation of HMVECs using recombinant IL-6 at the indicated doses, the HMVECs were lysed, and the levels
of phosphorylated Akt (pAkt) and total Akt (Akt) were determined through western blotting. The value shows
the average of relative band intensities, which are taken from densitometric analysis of Western blot from three
independent experiments (*P < 0.05 versus 5 and 10 ng/mL of rIL-6; one-way ANOVA followed by post hoc
Tukey’s test). (G) IL-6 levels in in each CM were analyzed through ELISA. Control CM was prepared from
HMVECs (*P < 0.01 vs. A375CM and control CM, one-way ANOVA followed by post hoc Tukey’s test; data are
presented as mean ± SD, n = 3). induced cell survival in HMVECs compared to control, which suggested that the tumor CM from A375SM
induced resistance to 5-FU in HMVECs (Fig. 1D). Anti-IL-6 receptor antibody treatment canceled 5-FU resist-
ance induced by IL-6, showing that IL-6 is involved in 5-FU resistance in HMVECs (Fig. 1E). Furthermore, Akt
phospholylation level was further increased by 5 ng/mL of IL-6 treatment in HMVEC, although Akt is constitu-
tively activated, because of endothelial cell culture medium containing the several growth factors, such as VEGF
(Fig. 1F). It was suggested that IL-6 is also one of additional activator for EC survival. In contrast, IL-6 was not
detected in both A375 and A375SM CMs, suggesting that the tumor cells did not secrete IL-6, unlike HMVECs
(Control CM) (Fig. 1G). These results suggested that IL-6 was derived from HMVECs after stimulation by tumor
secretion factors, but not from tumor cells. Tumor secretion factors induce drug resistance through IL-6 upregu-
lation in HMVECs. Tumor EVs induce IL‑6 mRNA expression. We focused on EVs as factors that may be contained in
tumor CM and induce IL-6 upregulation in ECs. EVs from A375 and A375SM cells were collected and charac-
terized. The size of the isolated EVs was approximately 140 nm in diameter, which was similar to the reported
EV size38 (Fig. S1A,C). The particle numbers of A375SM EV were more compared to A375 EV (Fig. S1B). Results IL‑6 upregulation by tumor CM induced drug resistance in ECs in an autocrine manner. We
have reported that A375SM-derived tumor CM induced resistance to paclitaxel by upregulating MDR-1/ABCB1
in human NEC:HMVEC18. Furthermore, we found that TECs isolated from A375SM tumors (A375SM-TECs)
were resistant to 5-FU17, which is not a substrate of ABCB1, suggesting the presence of a different mechanism
apart from ABCB1. Since IL-6 is a known molecule that is related to drug resistance36,37 and was upregulated in
A375SM-TECs, we focused on IL-6. The A375SM-TECs showed a significantly higher level of IL-6 than A375
tumor-derived TECs (A375-TECs) or mouse normal dermis-derived ECs (NECs) (Fig. 1A,B). We assumed
that A375SM cell-derived factors induced IL-6 upregulation in A375SM-TECs in tumor microenvironment. Then, we treated HMVECs with A375SM-derived CM to check IL-6 expression level. Treatment of tumor CM
from A375SM increased IL-6 mRNA expression level in HMVECs (Fig. 1C). The tumor CM from A375SM https://doi.org/10.1038/s41598-021-92879-5 Scientific Reports | (2021) 11:13502 | www.nature.com/scientificreports/ Figure 1. IL-6 upregulation by tumor-conditioned medium induces drug resistance in ECs via Akt activation. (A) IL-6 expression was evaluated in mouse normal dermis-derived ECs (NECs), TECs derived from A375 and
A375SM tumors (A375-TEC and A375SM-TEC), respectively, through real-time PCR (*P < 0.01 versus NEC
and A375-TEC; one-way ANOVA followed by post hoc Tukey’s test; data are presented as mean ± SD, n = 4, real-
time RT-PCR runs). (B) The levels of IL-6 in mouse normal dermis-derived ECs (NECs), TECs derived from
A375 and A375SM tumors (A375-TEC and A375SM-TEC) were determined through western blotting. β-actin
was used as an internal control. The value shows the average of relative band intensities, which are taken from
densitometric analysis of western blot from three independent experiments. (C) IL-6 expression was evaluated
in HMVECs treated with conditioned medium (CM) from HMVECs (Control CM) and CM from A375SM
(Tumor CM) through real-time PCR after treatment of each CM for 24 h (*P < 0.01 vs. Control CM, two-sided
Student’s t-test; data are presented as mean ± SD, n = 4 real-time RT-PCR runs). (D) Survival of HMVECs was
analyzed through MTS assay under 5-FU treatment condition for 72 h after culture in each CM for 5 days. Control CM and Tumor CM were prepared from HMVECs and A375SM, respectively (*P < 0.01 vs. Control
CM, two-sided Student’s t-test; data are presented as mean ± SD, n = 3). Results Control, two-sided Student’s t-test; data are mean ± SD, n = 4 real-time
RT-PCR runs). (B) IL-6 expression in HMVECs was evaluated through real-time PCR after treatment of each
EV for 24 h (*P < 0.01 vs. A375-EVs, two-sided Student’s t-test; data are presented as mean ± SD, n = 4 real-time
RT-PCR runs). Figure 2. Tumor EVs induces IL-6 mRNA expression. (A) IL-6 expression in HMVECs was evaluated through
real-time PCR after treatment of HMVECs-derived EVs (Control) or A375SM-derived EVs (A375SM-EVs),
respectively, for 24 h (*P < 0.01 vs. Control, two-sided Student’s t-test; data are mean ± SD, n = 4 real-time
RT-PCR runs). (B) IL-6 expression in HMVECs was evaluated through real-time PCR after treatment of each
EV for 24 h (*P < 0.01 vs. A375-EVs, two-sided Student’s t-test; data are presented as mean ± SD, n = 4 real-time
RT-PCR runs). Figure 2. Tumor EVs induces IL-6 mRNA expression. (A) IL-6 expression in HMVECs was evaluated through
real-time PCR after treatment of HMVECs-derived EVs (Control) or A375SM-derived EVs (A375SM-EVs),
respectively, for 24 h (*P < 0.01 vs. Control, two-sided Student’s t-test; data are mean ± SD, n = 4 real-time
RT-PCR runs). (B) IL-6 expression in HMVECs was evaluated through real-time PCR after treatment of each
EV for 24 h (*P < 0.01 vs. A375-EVs, two-sided Student’s t-test; data are presented as mean ± SD, n = 4 real-time
RT-PCR runs). AR inhibition and induction of drug resistance in HMVECs by miR‑1246. To address the role of
miR-1246 in drug resistance, we attempted to identify the target molecule of miR-1246. First, 4585 genes that
were downregulated more than 50% in miR-1246 transfected HMVECs, compared with those in control miR-
transfected HMVECs, were selected through DNA microarray analysis (Step 1), as shown in Fig. 4A. Second,
among these genes, 176 predicted genes were picked up as miR-1246 targets by three different databases for
miRNA target prediction: target scan (32 genes), miR DB (46 genes), and Diana (139 genes) (Step 2). Finally,
three genes that were reported to downregulate IL-6 by Ingenuity Pathway Analysis (IPA) were selected as can-
didate target genes of miR-1246 (Fig. 4A): Androgen receptor (AR), unc-5 netrin receptor B (UNC5B), and
Cathepsin C (CTSC). As observed, the mRNA expression levels of AR and UNC5B decreased by miR-1246
transfection in HMVECs; however, CTSC mRNA expression level did not (Fig. 4B). Results Addi-
tionally, EV markers, such as HSP70, CD63 and CD9, were detected in the extracted protein from each EV,
whereas cytochrome C, a cytoplasm protein, was not detected (Fig. S1D), while tumor cell lysate western blot-
ting showed the expression of all of them. The vesicular structures of the EVs isolated from A375 and A375SM
were observed by transmission electron microscopy (Fig. S1E). IL-6 mRNA was upregulated in HMVECs when
they were treated with A375SM-EVs, not with HMVECs-derived EVs (Control) (Fig. 2A). Furthermore, the EVs
isolated from A375 were added to the HMVEC culture. A375SM-EV treatment induced IL-6 mRNA at a higher
level than did A375-EV treatment (Fig. 2B). These data suggested that the factors in A375SM-EVs induced IL-6
mRNA upregulation in HMVECs. miR‑1246 in EVs from A375SM enhanced IL‑6 mRNA expression level in HMVECs. Next,
miRNA expression levels were determined to identify the factor in tumor CM or in EVs that induced IL-6 in
HMVECs. Here, miRNA was isolated from tumor CM, which was collected from several tumor cell lines (A375,
A375SM, HSC3, OS-RC-2, and HeLa) and normal cells (BJs, melanocytes. and HMVECs), and compared with
each other through miRNA array. Furthermore, miRNA was also compared between A375SM-EV and A375-EV
through miRNA array (Table S1), since we have found that A375SM-TEC showed a higher level of IL-6 than did
A375-TEC, as shown in Fig. 1A. Furthermore, miR-1246 was picked up because its level was higher in the CM
from tumor cells than in that from normal cells and also in A375SM-EV than in A375-EV (Fig. 3A). Indeed, it
was confirmed that miR-1246 was higher in A375SM-EV than in A375-EV or in HMVEC-EV, as determined
through PCR (Fig. 3B). The endocytosis inhibitor dynasore canceled miR-1246 induction through A375SM-EV
treatment in HMVECs, suggesting that miR-1246 is transported into ECs by A375SM-EVs (Fig. 3C). Further-
more, transfection of miR-1246 in HMVECs increased IL-6 mRNA expression levels (Fig. 3D) consistently with
the results of EV treatment, as shown in Fig. 2A. Furthermore, miR-1246 transfection caused resistance to 5-FU
in HMVECs (Fig. 3E). Scientific Reports | (2021) 11:13502 | https://doi.org/10.1038/s41598-021-92879-5 www.nature.com/scientificreports/ scientificreports/ Scientific Reports | (2021) 11:13502 | https://doi.org/10.1038/s41598-021-92879-5 www.nature.com/scientificreports/ tificreports/
Figure 2. Tumor EVs induces IL-6 mRNA expression. (A) IL-6 expression in HMVECs was evaluated through
real-time PCR after treatment of HMVECs-derived EVs (Control) or A375SM-derived EVs (A375SM-EVs),
respectively, for 24 h (*P < 0.01 vs. Results This suggested that AR and
UNC5B are targets of miR-1246 but not CTSC. Similarly, A375SM-EVs treatment caused downregulated AR and
UNC5B mRNA expressions (Fig. 4C). IL-6 mRNA expression in HMVECs was analyzed after AR or UNC5B
inhibition to examine the contribution of these genes on IL-6 expression. IL-6 expression level was increased by
the knockdown of AR but not of UNC5B, suggesting that AR suppresses IL-6 expression in HMVECs (Fig. 4D). Furthermore, 3′ UTR reporter assay was conducted to address whether miR-1246 directly binds to the AR gene. The transfection of a vector containing AR 3′UTR decreased luciferase activity. This result showed that miR-1246
binds to the 3′UTR of the AR gene, suggesting that AR is an miR-1246 target (Fig. 4E, Supplementary Fig. S2). Furthermore, we analyzed the effect of AR knockdown on drug resistance to 5-FU in HMVECs by MTS assay. Cell survival of HMVECs under 5-FU treatment increased by AR knockdown, which suggests that AR knock-
down caused resistance to 5-FU in HMVECs (Fig. 4F). miR‑1246 caused drug resistance via activation of STAT3 and Akt. It is well known that IL-6
activates STAT3, a substance known to be related to drug resistance39. Tumor CM induced STAT3 activation,
whereas its activation was canceled by S3I-201, a STAT3 inhibitor (Fig. 5A). It was confirmed that tumor EVs
(A375SM-EVs) (Fig. 5B) and miR-1246 transfection (Fig. 5C) activated STAT3 in HMVECs. STAT3 phospho-
rylation levels were not elevated in UNC5B knockdown in HMVECs, but they were increased 1.69 times in AR
knockdown (AR si#2) endothelial cells compared to control si (Fig. 5D, Supplementary Fig. S3). Akt activation
has been reported to be involved in cell survival or drug resistance38. Akt phosphorylation levels was 5 times
higher in tumor EV treated in HMVEC compared to control (Fig. 5E). In addition, miR-1246 transfection dou-
bled the phosphorylation level of Akt (Fig. 5F). miR‑1246 levels in EVs were higher in melanoma patients than in healthy volunteers. Finally,
EVs were isolated from sera in melanoma patients and healthy volunteers, and miR-1246 levels in EVs were
determined. miR-1246 levels were significantly higher in melanoma patients’ EVs than those in healthy volun-
teers’ EVs (Fig. 6A). In the present study, we revealed three findings. First, miR-1246 was contained in highly metastatic tumor EVs.
Second, miR-1246 in tumor EVs caused IL-6 induction through AR downregulation in ECs. Third, miR-1246
in tumor EVs activated STAT3 and Akt, causing drug resistance in ECs (Fig. 6B). Discussion
I
h In the present study, we revealed three findings. First, miR-1246 was contained in highly metastatic tumor EVs. Second, miR-1246 in tumor EVs caused IL-6 induction through AR downregulation in ECs. Third, miR-1246
in tumor EVs activated STAT3 and Akt, causing drug resistance in ECs (Fig. 6B). Scientific Reports | (2021) 11:13502 | https://doi.org/10.1038/s41598-021-92879-5 www.nature.com/scientificreports/ Figure 3. miR-1246 in A375SM EVs enhances IL6 mRNA expression in HMVECs. (A) miRNA array analys
in conditioned medium (CM) from tumor and normal cells (left) and in extracellular vesicles (EVs) from
A375SM and A375 (right). Each miRNA was plotted. The black rhombus shows miR-1246. miR-1246 was
high in both CM from tumor cells and EVs from A375SM. (B) miR-1246 expression in each EV was evaluate
through real-time PCR (*P < 0.01 vs. HMVEC-EVs and A375-EVs, one-way ANOVA; data are presented as
mean ± SD, n = 4 real-time RT-PCR runs). (C) miR-1246 expression in HMVECs was evaluated through real-
time PCR with or without A375SM-EVs and dynasore (*P < 0.05, one-way ANOVA followed by post hoc Tuk
test; data are presented as mean ± SD, n = 3 real-time RT-PCR runs). (D) IL-6 expression was evaluated throug
real-time PCR after transfection of miR-1246 in HMVECs. Control miRNA-transfected HMVECs was shown
control (*P < 0.01 vs. control, two-sided Student’s t-test; data are presented as mean ± SD, n = 3 real-time RT-P
runs). (E) Dead cells were analyzed through flow cytometry using PI under 5-FU treatment condition for 72
after transfection of miR-1246 in HMVECs. Control miRNA-transfected HMVECs was shown as Control. D
are presented as mean ± SD, n = 3. Figure 3. miR-1246 in A375SM EVs enhances IL6 mRNA expression in HMVECs. (A) miRNA array analysis
in conditioned medium (CM) from tumor and normal cells (left) and in extracellular vesicles (EVs) from
A375SM and A375 (right). Each miRNA was plotted. The black rhombus shows miR-1246. miR-1246 was
high in both CM from tumor cells and EVs from A375SM. (B) miR-1246 expression in each EV was evaluated
through real-time PCR (*P < 0.01 vs. HMVEC-EVs and A375-EVs, one-way ANOVA; data are presented as
mean ± SD, n = 4 real-time RT-PCR runs). (C) miR-1246 expression in HMVECs was evaluated through real-
time PCR with or without A375SM-EVs and dynasore (*P < 0.05, one-way ANOVA followed by post hoc Tukey’s
test; data are presented as mean ± SD, n = 3 real-time RT-PCR runs). Discussion
I
h The major mechanism involved in developing resistance is tumor cell phenotypic change. For example, tumor
cells express other angiogenic factors in response to VEGF inhibition40. However, we have suggested that another
mechanism may be responsible for the abnormalities in TECs. We previously compared the characteristics of
TECs with that of NECs and found that TECs contain several abnormalities, such as cytogenetic abnormalities13,14
and drug resistance with multidrug resistance 1 (MDR1) upregulation, which is a well-known stem marker and
an ABC transporter18,41. p
Furthermore, we previously demonstrated that TECs are heterogeneous depending on tumor malignancy. Highly metastatic tumor-derived TECs (A375SM-TECs) showed different characteristics from low metastatic
tumor-derived TECs (A375-TECs). For example, A375SM-TECs showed higher expression levels of MDR1
than did A375-TECs and showed a more resistant profile to paclitaxel, an anti-cancer drug that is a substrate of
ABCB120. We have found that tumor-secreted VEGF-A induced MDR1 mRNA upregulation in NECs through
Y box-binding protein 1 activation18. These findings suggested that tumor-derived factors can cause EC resist-
ance, and these alterations may be dependent on tumor malignancy. Additionally, TECs showed resistance to
5-FU, which is not a substrate of ABCB117, suggesting that TECs possess other mechanisms of drug resistance
besides ABCB1. We focused on IL-6, because IL-6 was upregulated by tumor CM treatment, and it is reportedly
involved in drug resistance in tumor cells36,37,42. Transcriptional factor C/EBP was activated through the IL-6
autocrine loop mechanism, causing MDR-1 upregulation and inducing resistance to doxorubicin, vincristine,
and taxol in IL-6-expressing mammary carcinoma cells36. Furthermore, the IL-6 autocrine loop upregulated
expressions of anti-apoptotic genes, such as Bcl-2, Bcl-xL, and XIAP, and drug resistance genes, such as MDR-1
and GSTpi, accompanied by the activation of the Ras/MEK/ERK and PI3K/Akt pathways in uterine cancer cells37. We previously reported that TECs expressed higher levels of IL-6 than did NECs43, and Akt was more activated
in TECs than in NECs43. In the present study, the IL-6 autocrine loop induced 5-FU resistance by activating
STAT3 and Akt in HMVECs. It was suggested that tumor CM-induced resistance in HMVECs was caused by
the IL-6 autocrine loop and not by tumor derived-IL-6. p
y
EVs are the generic term for exosomes or microvesicles, which contain biomolecules, such as protein, mRNA,
and miRNA, playing roles in intercellular communications25. Discussion
I
h (D) IL-6 expression was evaluated through
real-time PCR after transfection of miR-1246 in HMVECs. Control miRNA-transfected HMVECs was shown as
control (*P < 0.01 vs. control, two-sided Student’s t-test; data are presented as mean ± SD, n = 3 real-time RT-PCR
runs). (E) Dead cells were analyzed through flow cytometry using PI under 5-FU treatment condition for 72 h
after transfection of miR-1246 in HMVECs. Control miRNA-transfected HMVECs was shown as Control. Data
are presented as mean ± SD, n = 3. https://doi.org/10.1038/s41598-021-92879-5 Scientific Reports | (2021) 11:13502 | www.nature.com/scientificreports/ https://doi.org/10.1038/s41598-021-92879-5 Scientific Reports | (2021) 11:13502 | www.nature.com/scientificreports/ Figure 4. miR-1246 targets androgen receptor (AR) and induces drug resistance in HMVECs. (A) Schematic
diagram of steps to narrow miR-1246 targets using DNA microarray and IPA. Of note that the three genes AR,
UNC5B and CTSC were selected at the Step 3. (B) Each mRNA expression was evaluated through real-time
PCR after transfection of miR-1246 in HMVECs. Control miRNA-transfected HMVECs was shown as Control
(*P < 0.01 vs. control, two-sided Student’s t-test; data are presented as mean ± SD, n = 3 real-time RT-PCR runs). (C) AR and UNC5B expressions were evaluated through real-time PCR after treatment of A375SM-derived
EVs (EVs) cells in HMVECs. HMVEC-EV treated HMVEC was shown as Control (*P < 0.01 vs. control, two-
sided Student’s t-test; data are presented as mean ± SD, n = 3 real-time RT-PCR runs). (D) IL-6 expression was
evaluated through real-time PCR after transfection of control, AR or UNC5B siRNA (si) in HMVECs (*P < 0.01
vs. control si, two-sided Student’s t-test; data are presented as mean ± SD, n = 3 real-time RT-PCR runs. N.S. not significant). (E) Luciferase reporter assays with AR 3′ UTR. HEK293 cells were co-transfected with miR-
1246 mimic or NC mimic and vector 1, vector 2, or control vector (without AR 3′ UTR). After 48 h, luciferase
activities were measured (n = 6 each group). (F) Survival of HMVECs was analyzed through MTS assay under
5-FU treatment condition for 72 h after transfection of Control or AR siRNA (*P < 0.01 vs. Control si, two-sided
Student’s t-test; data are presented as mean ± SD, n = 3). ◂ It has been considered that anti-angiogenic therapy has advantages, because ECs are genetically stable and do
not develop drug resistance, unlike tumor cells10. However, resistance to this type of therapy has been reported. Discussion
I
h PI3K/Akt signaling plays an important
role in the acquisition of tumors cells’ resistance to anti-cancer drugs58. miR-1246 have other target molecules in ECs, and AR was found to be one. In cancer biology, there are several
reports about AR53. It has been reported that AR expression was negative in triple-negative breast carcinoma,
and it was suggested that the loss of AR may be correlated with poor prognosis54. Additionally, decreased AR
expression induced stemness phenotypes in prostate cancer cells through STAT3 activation55. Although the role
of AR in ECs is still unclear, previous reports may support our findings that AR downregulation induced drug
resistance through STAT3 activation and this activation contributed to cell survival56. It has been reported that
the feedback activation of STAT3 was a side effect of chemotherapy57. PI3K/Akt signaling plays an important
role in the acquisition of tumors cells’ resistance to anti-cancer drugs58. Although the detailed molecular mechanisms by which highly metastatic tumor-secreted EVs contained
higher levels of miR-1246 still remain unclear, our results demonstrated first evidence for tumor-derived EVs
causing drug resistance in ECs. Furthermore, in this study we could not completely deny the miRNA1246 in the
external contaminants because we did not serum free culture medium to collect tumor EVs. We tried to collect
EV after culture with FBS-free medium, but it was difficult to obtain enough amounts of EVs. And we considered
that it is important to analyze the communication between actively growing tumor cells and endothelial cells,
which resemble tumor microenvironment. That is why we have cultured tumor EVs with 10% FBS (EV-depleted)-
containing medium. However, we could detect miR1246 in A375SM-EVs even after RNase treatment, although
the level is a half of nontreated EVs. But miR1246 level is 10 times higher in A375SM-EVs than in A375-EVs as
described in Fig. 3B, so the biological effect of A375SM-EVs comparing with A375-EVs, which we show in this
study, is due to miR1246, at least partially. y
p
y
Recently, resistance to anti-angiogenic therapy has been reported, and we have demonstrated that ABC trans-
porter upregulation is one of the mechanisms involved in acquiring drug resistance18,19,41. However, our results
suggest that TECs can acquire resistance to other drugs, such as anti-angiogenic drugs (anti-VEGF drugs) and
not just paclitaxel, by increasing IL-6 and Akt or STAT3 activation. Particularly, miR-1246-expressing cancers
may produce such results. Discussion
I
h It has been known that tumor cells take advantage
of their EV secretion for tumor growth and progression in an autocrine manner22–24, and EV secretion was
increased by microenvironmental factors, such as hypoxia, low nutrition, and inflammation44–46. Furthermore,
EVs affect parenchymal cells in a paracrine manner. There are several reports about the effects of tumor EVs
on blood vessels. We have reported that tumor-derived EVs were taken into ECs through endocytosis, result-
ing in pro-angiogenic phenotypes in ECs26. A recent study reported that breast cancer cell EVs enhanced brain
metastasis by breaking the blood–brain barrier27. However, whether tumor EVs affect TECs in the primary site
has remained unclear. It is known that miRNAs are small non-coding RNAs that reduce protein expression through destabilization
and/or translational suppression of target RNA (mRNA) molecules29. Thus, miRNAs are key regulators of mul-
tiple physiologic and pathologic cellular responses. Multiple reports have implicated that miRNA are involved in
cancer progression. Furthermore, miRNAs are one of the important biomolecules contained in EVs and exported
to extracellular spaces by EVs, playing important roles in intercellular communication31. In the present study, we
focused on miR-1246 that was contained in highly metastatic tumor-derived EVs. Recent studies related to the
function of miR-1246 in cancer cells have been reported47–52. For example, miR-1246 inhibits CCNG2 expres-
sion, causing drug resistance and stemness in pancreatic cancer cells50. Furthermore, miR-1246 in EVs secreted
from colon cancer cells were imported into ECs and induced angiogenesis by downregulating promyelocytic
leukemia expression, resulting in Smad 1/5/8 activation47. However, the function of miR-1246 remains unla-
beled. We found that CCNG2 expression was not downregulated by miR-1246 in HMVECs (data not shown),
although CCNG2 was reported to be a target of miR-1246 and is involved in drug resistance. It was suggested that Scientific Reports | (2021) 11:13502 | https://doi.org/10.1038/s41598-021-92879-5 e.com/scientificreports/ www.nature.com/scientificreports/ https://doi.org/10.1038/s41598-021-92879-5 Scientific Reports | (2021) 11:13502 | www.nature.com/scientificreports/ Figure 5. miR-1246 causes drug resistance in HMVECs via STAT3 and Akt activation. (A) HMVECs were pre-
incubated with S3I-201, a STAT3 phosphorylation inhibitor. After stimulation of control CM from HMVECs or
tumor CM from A375SM for 30 min, HMVECs were lysed, and the levels of phosphorylated STAT3 (pSTAT3)
and STAT3 were determined through Western blotting. β-actin was used as an internal control. The value shows
the average of relative band intensities, which are taken from densitometric analysis of Western blot from three
independent experiments. Discussion
I
h Our results showed that EVs in the blood of melanoma patients contained more miR-
1246 than those of healthy volunteers’ EVs. It would be worth addressing the correlation between EV-miR1246
and prognosis, especially treatment outcomes in the future, although the present study did not investigate the
correlation between EV-miR1246 and metastasis or prognosis. Discussion
I
h (B) After stimulation of A375SM tumor EVs (EVs), the HMVECs were lysed, and
the levels of pSTAT3 and STAT3 were determined through Western blotting. PBS was used as Control. β-actin
was used as an internal control. The value shows the average of relative band intensities, which are taken from
densitometric analysis of Western blot from three independent experiments. (C) Control miRNA (Control)
or miR-1246 transfected HMVECs were lysed, and the levels of pSTAT3 and STAT3 were determined through
western blotting. β-actin was used as an internal control. The value shows the average of relative band intensities,
which are taken from densitometric analysis of Western blot from three independent experiments. (D) Control,
UNC5B or AR siRNA-transfected HMVECs were lysed, and the levels of pSTAT3 and STAT3 were determined
through Western blotting. β-actin was used as an internal control. The value shows the average of relative band
intensities, which are taken from densitometric analysis of Western blot from three independent experiments. (E) After stimulation of A375SM tumor EVs, the HMVECs were lysed and the levels of phosphorylated Akt
(pAkt) and Akt were determined through western blotting. β-actin was used as an internal control. The value
shows the average of relative band intensities, which are taken from densitometric analysis of Western blot
from three independent experiments. (F) Control miRNA (Control) or miR-1246-transfected HMVECs were
lysed, and the levels of pAkt and Akt were determined through western blotting. β-actin was used as an internal
control. The value shows the average of relative band intensities, which are taken from densitometric analysis
of Western blot from three independent experiments (*P < 0.05 vs. Control, two-sided Student’s t-test; data are
presented as mean ± SD, n = 3). ◂ miR-1246 have other target molecules in ECs, and AR was found to be one. In cancer biology, there are several
reports about AR53. It has been reported that AR expression was negative in triple-negative breast carcinoma,
and it was suggested that the loss of AR may be correlated with poor prognosis54. Additionally, decreased AR
expression induced stemness phenotypes in prostate cancer cells through STAT3 activation55. Although the role
of AR in ECs is still unclear, previous reports may support our findings that AR downregulation induced drug
resistance through STAT3 activation and this activation contributed to cell survival56. It has been reported that
the feedback activation of STAT3 was a side effect of chemotherapy57. Conclusion miR-1246 in tumor EVs caused IL-6 induction through AR downregulation in ECs. In addition, miR-1246 in
tumor EVs activated STAT3 and Akt, causing drug resistance in ECs. It was suggested that tumor makes TEC
resistant via transporting miR-1246 by EV and keeps blood supply and pathway to metastasize to distant organ. https://doi.org/10.1038/s41598-021-92879-5 Scientific Reports | (2021) 11:13502 | www.nature.com/scientificreports/ .com/scientificreports/
Data availability
Figure 6. miR-1246 levels in EVs in plasma, and a schematic diagram of the study. (A) miR-1246 levels in EVs
in healthy volunteers (n = 20) and melanoma patients (n = 42) were determined through real-time PCR (*P < 0.01
vs. healthy volunteers, two-sided Student’s t-test; data are presented as mean ± SD, n = 3 real-time RT-PCR
runs). (B) A schematic diagram of the study. miR-1246 in tumor EVs was taken into endothelial cells, and AR
expression was inhibited, which induced IL-6 secretion and caused drug resistance in an autocrine manner
through STAT3 and Akt activation. Figure 6. miR-1246 levels in EVs in plasma, and a schematic diagram of the study. (A) miR-1246 levels in EVs
in healthy volunteers (n = 20) and melanoma patients (n = 42) were determined through real-time PCR (*P < 0.01
vs. healthy volunteers, two-sided Student’s t-test; data are presented as mean ± SD, n = 3 real-time RT-PCR
runs). (B) A schematic diagram of the study. miR-1246 in tumor EVs was taken into endothelial cells, and AR
expression was inhibited, which induced IL-6 secretion and caused drug resistance in an autocrine manner
through STAT3 and Akt activation. Figure 6. miR-1246 levels in EVs in plasma, and a schematic diagram of the study. (A) miR-1246 levels in EVs
in healthy volunteers (n = 20) and melanoma patients (n = 42) were determined through real-time PCR (*P < 0.01
vs. healthy volunteers, two-sided Student’s t-test; data are presented as mean ± SD, n = 3 real-time RT-PCR
runs). (B) A schematic diagram of the study. miR-1246 in tumor EVs was taken into endothelial cells, and AR Figure 6. miR-1246 levels in EVs in plasma, and a schematic diagram of the study. (A) miR-1246 levels in EVs
in healthy volunteers (n = 20) and melanoma patients (n = 42) were determined through real-time PCR (*P < 0.01
vs. healthy volunteers, two-sided Student’s t-test; data are presented as mean ± SD, n = 3 real-time RT-PCR
runs). (B) A schematic diagram of the study. Data availability
Th d
d
d y
The datasets used and analysed during current study are available from the corresponding author on reasonable
request. Received: 27 August 2020; Accepted: 16 June 2021 Conclusion miR-1246 in tumor EVs was taken into endothelial cells, and AR
expression was inhibited, which induced IL-6 secretion and caused drug resistance in an autocrine manner
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We would like to express our appreciation to Dr. I. J. Fidler for providing the super-metastatic human malignant
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42. Gilbert, L. A. & Hemann, M. T. DNA damage-mediated induction of a chemoresistant niche. Cell 143, 355–366 (2010).i 42. Gilbert, L. A. & Hemann, M. T. DNA damage-mediated indui 43. Ohmura-Kakutani, H. et al. Identification of tumor endothelial cells with high aldehyde dehydrogenase activity and a h
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cells during tumor development. Proc. Natl. Acad. Sci. U.S.A. 110, 7312–7317 (2013). https://doi.org/10.1038/s41598-021-92879-5 Scientific Reports | (2021) 11:13502 | Fundingh g
This research was funded by JSPS Grants-in-Aid for Scientific Research Innovative Areas on integrated analysis
and regulation of cellular diversity (to K. Hida, JP18H05092), JSPS Grants-in-Aid for Scientific Research (to
N. Maishi, JP18K09715; Y. Hida, JP18H02891; and K. Hida, JP18H02996), and Grants from Japan Agency for
Medical Research and Development (to N. Maishi, JP18ck0106198h0003 and K. Hida, JP19ck0106406h0002). p
g
y
Medical Research and Development (to N. Maishi, JP18ck0106198h0003 and K. Hida, JP19ck0106406h0002). Competing interests
The authors declare no competing interests. Additional information
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10.1038/s41598-021-92879-5. Correspondence and requests for materials should be addressed to K.H. Reprints and permissions information is available at www.nature.com/reprints. Reprints and permissions information is available at www.nature.com/reprints. Reprints and permissions information is available at www.nature.com/reprints. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and
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Naïve CD8+ T cell derived tumor-specific cytotoxic effectors as a potential remedy for overcoming TGF-β immunosuppression in the tumor microenvironment
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Title Title
Naïve CD8+ T cell derived tumor-specific cytotoxic effectors as a potential remedy for
overcoming TGF-β immunosuppression in the tumor microenvironment Permalink
https://escholarship.org/uc/item/4bg3q8kq UC Davis UC Davis Previously Published Works Title
Naïve CD8+ T cell derived tumor-specific cytotoxic effectors as a potential remedy for
overcoming TGF-β immunosuppression in the tumor microenvironment ISSN
2045-2322
Authors
Nguyen, Hong Hanh
Kim, Therasa
Song, Sang Yun
et al.
Publication Date
2016-06-01
DOI
10.1038/srep28208
Peer reviewed ISSN
2045-2322
Authors
Nguyen, Hong Hanh
Kim, Therasa
Song, Sang Yun
et al. Publication Date
2016-06-01
DOI
10.1038/srep28208
Peer reviewed Permalink https://escholarship.org/uc/item/4bg3q8kq Journal
Scientific Reports, 6(1) Naïve CD8+ T cell derived tumor-
specific cytotoxic effectors as a
potential remedy for overcoming
TGF-β immunosuppression in the
tumor microenvironment received: 18 March 2016
accepted: 23 May 2016
Published: 16 June 2016 Hong Hanh Nguyen1,*, Therasa Kim2,*, Sang Yun Song3, Somang Park1, Hyang Hee Cho1,
Sung-Hoon Jung4, Jae-Sook Ahn4, Hyeoung-Joon Kim4, Je-Jung Lee1,4, Hee-Ok Kim5,
Jae-Ho Cho5 & Deok-Hwan Yang1,4 Despite of the potential implications for cancer immunotherapy, conventional approaches using
in vitro expanded CD8+ T cells have suboptimal outcomes, mostly due to loss of functionality from
cellular exhaustion. We therefore investigated the phenotypic and functional differences among in
vitro activated CD8+ T cells of three different sources, namely naïve (NTeff), memory (MTeff) and tumor-
infiltrating lymphocytes (TILeff) from human and mice, to better understand mechanisms behind potent
effector functions and potential for overcoming current limitations. In line with the greater proliferation
activity and longer telomere lengths of NTeff populations, cells of naïve origin exhibited significantly
less amounts of T cell exhaustion markers than those of MTeff and TILeff, and moreover, acquired distinct
expression patterns of memory-promoting transcription factors, T-bet and Eomes, induced in a rapid
and sustainable manner. NTeff cells appeared to have lower expression of Foxp1 and were refractory
to apoptosis upon TGF-β conditioning, implying better survival potential and resistance to tumor-
induced immune suppression. Of CD8+ T cell pools activated to tumor-specific CTLs, naïve cell generated
effectors possessed the most potent cytotoxic activity, validating implications for use in rational design
of adoptive immunotherapy. Adoptive immunotherapy, or the infusion of ex vivo activated and expanded tumor-specific CD8+ T cells into
cancer patients, is a strategy involving removal of CD8+ T cells from the tumor environment and provision of
stimulatory conditions necessary for their optimal activation, in attempts to overcome poor T-cell responsiveness
to tumors. Adoptive T-cell transfer therapy was first attempted in the late 1980s to early 1990s, following the iden-
tification of the first tumor associated antigens and isolation of tumor reactive CD8+ T-cell clones from cancer
patients. A sufficient number of activated CD8+ effector T cells were obtained and subsequently transferred intra-
venously into patients, mediating tumor elimination1. However, current articles have reported that immunother-
apy employing the use of CD8+ cytotoxic T lymphocytes (CTLs) is limited by chronic activation and functional
impairment of effector cells induced by immunosuppressive factors2–4. Powered by the California Digital Library
University of California Powered by the California Digital Library
University of California eScholarship.org www.nature.com/scientificreports www.nature.com/scientificreports received: 18 March 2016
accepted: 23 May 2016
Published: 16 June 2016 Naïve CD8+ T cell derived tumor-
specific cytotoxic effectors as a
potential remedy for overcoming
TGF-β immunosuppression in the
tumor microenvironment Investigation of these cells has revealed a
so called ‘exhaustion profile’ that includes cell dysfunction, loss of effector function, and progressive increase in
the amount and diversity of check point inhibitors such as programmed cell death protein 1 (PD1), cytotoxic T
lymphocyte antigen 4 (CTLA4), lymphocyte activation gene 3 protein (LAG3), and killer cell lectin-like receptor 1Research Center for Cancer Immunotherapy, Chonnam National University Hwasun Hospital, Hwasun,
Jeollanam-do, Republic of Korea. 2Department of Medical Sciences, Chonnam National University Hwasun
Hospital, Hwasun, Jeollanam-do, Republic of Korea. 3Department of Thoracic and Cardiovascular Surgery, Chonnam
National University Hwasun Hospital, Hwasun, Jeollanam-do, Republic of Korea. 4Department of Hematology-
Oncology, Chonnam National University Hwasun Hospital, Hwasun, Jeollanam-do, Republic of Korea. 5Academy
of Immunology & Microbiology (AIM), Institute for Basic Science (IBS), Pohang, Republic of Korea. *These authors
contributed equally to this work. Correspondence and requests for materials should be addressed to D.H.Y. (email:
drydh1685@hotmail.com) Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 1 www.nature.com/scientificreports/ G1 (KLRG1)2–4. It has also been shown that CTL function is altered by transforming growth factor-β (TGF-β),
a lymphocyte inhibitor frequently overexpressed in the tumor mircroenvironment (TME) of multiple tumors5,6. Stephen et al.7 have characterized the mechanism of T cell unresponsiveness in TME driven by Forkhead box
protein P1 (Foxp1) upregulation in response to TGF-β, by which antigen-primed CD8+ T cells are prevented
from proliferating and promoting cytotoxic function.h p
g
p
g y
The pool of lymphocytes used for adoptive immunotherapy can be derived from any of the CD8+ subsets,
including tumor-infiltrating lymphocytes (TILs), naive T cells (TN), and antigen-experienced memory T cells
(TM), which can be divided into central memory (TCM) and effector memory (TEM) subsets that differ in pheno-
type, homing, and function8. Memory CD8+ T-cell subsets are studied more often than naïve cells, because of
their tumor specificity and greater ability to rapidly proliferate when exposed to previously encountered antigens. Moreover, Berger et al.9 showed that effector cells derived from TCM rather than TEM possess increased potential
to survive and establish immunologic memory after infusion in macaques. These findings have been consistent in
mice memory subsets10. However, a more recent study has suggested that TN subsets may serve as a suitable can-
didate for immunotherapy because of their low level of ‘exhaustion’ in effector cells, sustained replicative potential
correlative to telomere length, and minimal effector differentiation translating to greater efficacy after infusion11. Results
S
f Successful expansion of human naïve, memory, and TIL CD8+ T cells in vitro. CD8+ T cell subsets
could be defined by the surface markers CD62L, CD45RO, CCR7, and CD45RA to naïve (CCR7+CD45RA+ or
CD62L+CD45RO−) and memory (CD45RA− or CD45RO+) cells. Tumor-infiltrating CD8+ T cells were CD44+,
mostly with loss of homing receptors CD62L and CCR7 expression, and composed of two main sub-populations
CD45RA− and CD45RA+, suggesting a relatively differentiated status. After MACS isolation and stimulation by
CD3/CD28 Dynabeads on anti-CD2 coated plates, successful expansion was demonstrated in all three groups by
either CFSE peak division of NTeff and MTeff subsets, or enlarged populations of CD44+CD8+ TILeff cells (Fig. 1A). CFSE staining of TILeff proliferation was observed but peak division was indistinct due to the small number
of initial TILs (data not shown). Activation kinetics differed for cell subsets where exponential expansion and
accumulation was observed starting at day 3 for NTeff and later at day 5 for MTeff and TILeff cells, and thus further
analyses of all effector cells were performed on day 5 post-stimulation.f f
Phenotypic characteristics of effector cell populations were assessed by surface expression of activation mark-
ers CD62L, CD25, CD44, and OX40. Effector cells from all progenitors (naïve, memory, and TILs) exhibited an
effector phenotype with significant up-regulation of activation markers in comparison to their progenitors, and
were considered activated as CD62L−CD25+CD44+OX40+ populations (Fig. 1B). Despite variability in the per-
centage of effector cells produced among donors, a significantly higher percentage of OX40 expressing cells was
observed for NTeff in comparison to MTeff (p < 0.05) or TILeff (p < 0.005) cells (Fig. 1C). To further compare the
proliferative potential among cell populations, relative telomere length (RTL), which correlate with replicative
capacity, of NTeff, MTeff, and TILeff cells were investigated against CCRF-CEM control cell line. Telomere length
was greatest in NTeff, shorter in MTeff, and shortest in TILeff cell subsets (Fig. 1D). This result was consistent with
previously published reports of longer telomeres in human naive T cells, leading to increased proliferation of NTeff
cells in comparison to MTeff cells after in vitro stimulation9. Exhaustion phenotypes differ among in vitro generated human and murine effector cells NTeff,
MTeff, and TILeff. Inhibitory receptors on T cell surfaces such as PD-1, CTLA-4, and KLRG-1, have been
shown to facilitate T cell exhaustion by interaction with ligands on antigen presenting cells or tumor cells3–5. Naïve CD8+ T cell derived tumor-
specific cytotoxic effectors as a
potential remedy for overcoming
TGF-β immunosuppression in the
tumor microenvironment Although self or tumor-reactive naïve CD8+ T cells have the capacity to respond to tumor antigens and differ-
entiate into cytotoxic effector cells, some major limitations are the relatively low number of self/tumor-specific
lymphocytes that result from negative selection during thymic maturation and inadequate magnitude of stimula-
tion from antigens in the tumor environment12. Studies have shown that CD8+ T cells can be expanded by T cell
growth factor interleukin-2 (IL-2) in the absence of T-cell receptor (TCR) signals, and in this situation, IL-2 can
induce a unique signaling pathway that is associated with strong lymphocyte-specific protein tyrosine kinase/
JAK3-dependent activation of the PI3K/AKT pathway13,14. Such signaling pathways not only induce rapid prolif-
eration of IL-2 activated naïve CD8+ T cells but also upregulate expression of eomesodermin (Eomes), signifying
the differentiation fate of primary naïve effectors into long-lived memory cells. Several current studies performed
in murine models have demonstrated the role of T-box transcription factors, T-bet and Eomes, in regulation of
both effector and memory functions where high expression of T-bet promotes effector function and Eomes is
linked to formation of the long-term memory population15–17. g
y p p
Considering some of the current limitations in adoptive T-cell transfer, we sought to evaluate the phenotypic
and functional differences of effectors derived from naive, memory, and tumor-infiltrating CD8+ T cells (NTeff,
MTeff, and TILeff, respectively), and to further investigate the possibility of generating optimal tumor-reactive
CTLs with high-dose IL-2 activation for application in clinical trials. We report that exhaustion phenotypes and
expression kinetics of T-box transcription factors for NTeff cell populations show possible advantages over other
subgroups for use in cell transfer therapy. Our results also suggest that effector cells of naïve origin are relatively
resistant to immunosuppressive effects of TGF-β with a trend in lower Foxp1 expression. High-dose IL-2 prim-
ing of naïve T cells successfully expands tumor-specific effector cells that exert favorable cytotoxic function, and
serves as a potential means for overcoming some of the current barriers in immunotherapy. Results
S
f We
therefore compared the expression of these inhibitory receptors on the three effector cell subtypes. All effector
cells showed significant increase of exhaustion phenotypes during proliferation, but NTeff cells showed signifi-
cantly less expression of PD-1 and CTLA4 compared to MTeff and TILeff subsets (Fig. 2A). Check point inhibitors
showed varying levels of expression dependent on the time elapsed from activation with peak expression on
days 4–5 for PD-1, days 5–7 for CTLA-4, and days 4–7 for KLRG-1 (data not shown). To investigate functional Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 2 www.nature.com/scientificreports/ Figure 1. Characteristics of human naïve, memory, and TIL effector CD8+ T cells. (A) Isolation of CD8+
T cell subsets and proliferation assays. MACS isolation and FACS Aria analyses displayed in vitro expansion of
naïve (CCR7+CD45RA+), memory (CD45RA−), and TIL (CD44+) subpopulations, 5 days post TCR stimulation. CFSE assay showed positive proliferation results after 3 to 5 days of culture. (B) Activation markers of effector
cell subsets. Effector naïve and memory CD8+ cells (NTeff and MTeff, respectively) are characterized by CD62L-
CD25+CD44+OX40+ expression. Re-stimulated CD8+ TIL (TILeff) populations also showed similar phenotypes. (C) OX40+ cell percentage of effector cell subsets. NTeff showed significantly higher values compared to MTeff and
TILeff (*P < 0.05 vs TILeff, **P < 0.005 vs MTeff). (D) Telomere length comparison showed the longest telomeres
in NTeff and shortest in TILeff cells (*P < 0.05). RTLs of effector cells were measured against CCRF-CEM control
cells (1:1 ratio, total 5.0 × 105 cells) with a DAKO Telomere PNA Kit. Data are representative of three to four
independent experiments and are presented as mean ± SD. Figure 1. Characteristics of human naïve, memory, and TIL effector CD8+ T cells. (A) Isolation of CD8+
T cell subsets and proliferation assays. MACS isolation and FACS Aria analyses displayed in vitro expansion of
naïve (CCR7+CD45RA+), memory (CD45RA−), and TIL (CD44+) subpopulations, 5 days post TCR stimulation. CFSE assay showed positive proliferation results after 3 to 5 days of culture. (B) Activation markers of effector
cell subsets. Effector naïve and memory CD8+ cells (NTeff and MTeff, respectively) are characterized by CD62L-
CD25+CD44+OX40+ expression. Re-stimulated CD8+ TIL (TILeff) populations also showed similar phenotypes. (C) OX40+ cell percentage of effector cell subsets. NTeff showed significantly higher values compared to MTeff and
TILeff (*P < 0.05 vs TILeff, **P < 0.005 vs MTeff). Results
S
f (D) Telomere length comparison showed the longest telomeres
in NTeff and shortest in TILeff cells (*P < 0.05). RTLs of effector cells were measured against CCRF-CEM control
cells (1:1 ratio, total 5.0 × 105 cells) with a DAKO Telomere PNA Kit. Data are representative of three to four
independent experiments and are presented as mean ± SD. Figure 2. Exhaustion phenotypes of effector CD8+ T cell subpopulations in human and mice. Effector
cells (OX40+) derived from naïve cells (NTeff) expressed lower levels of exhaustion markers PD1, CTLA4,
KLRG1, and LAG3 compared to effectors from memory cells or TILs (MTeff or TILeff) (A) in human (*P < 0.05
for PD-1, **P < 0.005 for CTLA4) and (B) in mice at 5 days post-stimulation with anti-CD3/CD28 and
anti-CD2. MFI levels are the average result of three experiments and are presented as mean ± SD. (C) In vitro
functional analysis of human effector cells by cytokine production. An equal number of progenitors (2 × 105
cells per subtype) activated to OX40+ effectors were characterized by flow cytometry for direct comparison
among subtypes. NTeff cells demonstrated a greater increase in perforin+ granzyme B+ populations compared
to MTeff and TILeff subsets at two time points (day 3 and 5 post-stimulation). Data are representative of three
independent experiments. Figure 2. Exhaustion phenotypes of effector CD8+ T cell subpopulations in human and mice. Effector
cells (OX40+) derived from naïve cells (NTeff) expressed lower levels of exhaustion markers PD1, CTLA4,
KLRG1, and LAG3 compared to effectors from memory cells or TILs (MTeff or TILeff) (A) in human (*P < 0.05
for PD-1, **P < 0.005 for CTLA4) and (B) in mice at 5 days post-stimulation with anti-CD3/CD28 and
anti-CD2. MFI levels are the average result of three experiments and are presented as mean ± SD. (C) In vitro
functional analysis of human effector cells by cytokine production. An equal number of progenitors (2 × 105
cells per subtype) activated to OX40+ effectors were characterized by flow cytometry for direct comparison
among subtypes. NTeff cells demonstrated a greater increase in perforin+ granzyme B+ populations compared
to MTeff and TILeff subsets at two time points (day 3 and 5 post-stimulation). Data are representative of three
independent experiments. Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 3 www.nature.com/scientificreports/ Figure 3. Expression of T-box transcriptional factors and characteristics of human effector CD8+ T cells
under TGF-β conditioning. Results
S
f Increase
in Foxp1 MFI levels pre and post TGF-β conditioning was minimal for naïve effector cells and NTeff showed
the least Foxp1 protein expression, although not statistically significant. MFI levels and protein density ratios
are the average result of three experiments and shown as mean ± SD. (E) Annexin V assay by flow cytometry. Quadrant plots show the percent distribution of early and late apoptotic cells (first quadrant) with or without
48-hour exposure to TGF-β. Naïve cell derived effectors (NTeff) showed minimal increase in apoptotic cell
populations relative to MTeff and TILeff subgroups. All experiments were repeated three times and are presented
by one representative figure. i
48-hour exposure to TGF-β. Naïve cell derived effectors (NTeff) showed minimal increase in apoptotic cell
populations relative to MTeff and TILeff subgroups. All experiments were repeated three times and are presented
by one representative figure. relevance of exhaustion phenotypes, we then evaluated the secretory function of cytotoxic cytokines such as
granzyme B, perforin, and IFN- ɤ from different human effectors. During days 3 to 5 post-stimulation, the secre-
tion of granzyme B and perforin gradually increased in all effector cells derived from naïve, memory, and TIL
populations (Fig. 2C). Among fully activated day 5 effector cells, NTeff possessed the highest expression level of
perforin and granzyme B, and similar levels of IFN-ɤ (data not shown) compared to MTeff and TILeff cells. In the
murine model, effectors derived from CD8+ naïve and memory phenotype (MP) T cells, and TILs collected from
OVAp-expressing EL4-EG7 tumors were successfully proliferated with CD44+OX40+ phenotypes. Expression
levels of inhibitory receptors PD-1, KLRG1, and LAG3 in murine CD8+ effectors showed similar patterns to those
of human cells (Fig. 2B). Expression kinetics of transcription factors T-bet and Eomes differ among CD8+ T cell effector
populations. For further characterization of the CD8+ T cell subpopulations, the expression levels of two
T-box transcription factors, T-bet and Eomes, were examined using intracellular staining for FACS analysis and
confirmed with Western blot. Although naïve CD8+ T cells expressed lower levels of T-bet and Eomes in com-
parison to memory cells before stimulation, activated effectors NTeff, MTeff, and TILeff showed relatively similar
MFI levels of T-bet and Eomes, demonstrating the capacity of naïve or memory cells to induce similar effector
populations (Fig. 3A). Results
S
f (A) Intracellular staining of T-bet and Eomes expressed on TCR stimulated
effectors NTeff, MTeff, and TILeff. MFI levels are shown for day 0 (initial peak) and day 5 (right side peak) post-
stimulation. For TILs, day 0 peaks are lost due to insufficient cell amount pre-expansion. (B) Western blot
analysis of naïve and memory T cells, and TILs on days 0, 3, 5 and 8 post TCR activation. Kinetics of T-bet and
Eomes expression in differentiating CD8+ T cells suggest rapid and sustained stimulation for NTeff populations. Effector groups from day 5 post-stimulation are treated with TGF-β (10 ng/mL) for 48 hours and checked for
Foxp1 expression (day 7 post-stimulation) by (C) intracellular FACS staining and (D) Western blot. Increase
in Foxp1 MFI levels pre and post TGF-β conditioning was minimal for naïve effector cells and NTeff showed
the least Foxp1 protein expression, although not statistically significant. MFI levels and protein density ratios
are the average result of three experiments and shown as mean ± SD. (E) Annexin V assay by flow cytometry. Quadrant plots show the percent distribution of early and late apoptotic cells (first quadrant) with or without
48-hour exposure to TGF-β. Naïve cell derived effectors (NTeff) showed minimal increase in apoptotic cell
populations relative to MTeff and TILeff subgroups. All experiments were repeated three times and are presented
by one representative figure. Figure 3. Expression of T-box transcriptional factors and characteristics of human effector CD8+ T cell Figure 3. Expression of T-box transcriptional factors and characteristics of human effector CD8+ T cells
under TGF-β conditioning. (A) Intracellular staining of T-bet and Eomes expressed on TCR stimulated
effectors NTeff, MTeff, and TILeff. MFI levels are shown for day 0 (initial peak) and day 5 (right side peak) post-
stimulation. For TILs, day 0 peaks are lost due to insufficient cell amount pre-expansion. (B) Western blot
analysis of naïve and memory T cells, and TILs on days 0, 3, 5 and 8 post TCR activation. Kinetics of T-bet and
Eomes expression in differentiating CD8+ T cells suggest rapid and sustained stimulation for NTeff populations. Effector groups from day 5 post-stimulation are treated with TGF-β (10 ng/mL) for 48 hours and checked for
Foxp1 expression (day 7 post-stimulation) by (C) intracellular FACS staining and (D) Western blot. Results
S
f After conditioning with TGF-β, flow cytometry detection of apoptosis
with Annexin V displayed limited induction of apoptotic cell populations for NTeff cells relative to MTeff and TILeff
subgroups (Fig. 3E). Taken together, these results suggest that CD8+ effector subgroups differ in Foxp1 expression
and apoptotic response to TGF-β exposure, and that NTeff cells maintain resistance to inhibitory factors induced
from the tumor microenvironment. Cytotoxic activity against targeted tumor cells is superior for effector cells of naïve T cell origin
in both human and mouse models. To investigate the cytotoxic function of tumor-specific human CTLs,
antigen (U266 MM cell line) loaded autologous mature dendritic cells (mDCs) were co-cultured for 7 days with
IL-2 primed naïve and memory CD8+ T cells and the generated CTLs were assessed via IFN-ɤ ELISPOT assay
and LDH Cytotoxicity Detection Kit. A total of five cell groups were harvested for cytotoxic analyses including
CD8+ (Naïve D14, Naïve D7, Naïve D0, and Memory) and CD3+ CTLs. Briefly, Naïve D14 and Naïve D7 cells
refer to CD8+ naïve cells co-cultured with high-dose IL-2 (1 μg/mL) for 14 and 7 days respectively, whereas Naïve
D0 and Memory cells are co-cultured with conventional dose IL-2 (10 ng/mL) and are of naïve and memory T cell
origin, respectively (refer to Methods). IFN-ɤ ELISPOT was measured in the presence and absence of MHC class
I specific monoclonal antibody (W6/32, 20 µg/mL) with CTL alone as the control. High dose IL-2 primed Naïve
D14 effector cells showed the highest secretion of IFN-ɤ against target U266 cells when co-cultured for one day at
a 10:1 ratio of effector (E) to target (T) cells (Fig. 4A.). Although CD3+ cells also secreted higher levels of IFN-ɤ
relative to Naïve D7, Naïve D0, and Memory CD8+ cells, they also displayed non-specific secretion as observed in
the control CTL alone group. Direct cytotoxicity testing against U266 target cells using the LDH cytotoxic assay
revealed enhanced CTL activity for Naïve D14 cells that was significantly greater than other effector CTLs when
E:T ratios were at least 10:1 (Fig. 4B.). In the murine model, in vivo CTL activity against inoculated
OVAp-expressing EL4-EG7 lymphoma cells in B6 mice was examined for NTeff, MTeff, and TILeff CD8+ effector
subsets obtained from OT-1 Thy1.1 mice. Results
S
f However, considering the lower MFI for pre-stimulated naïve cells, this cell population
displays a greater increase in T-bet and Eomes expression levels post-stimulation compared to memory T cells. Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 4 www.nature.com/scientificreports/ To clarify and confirm the expression profile of these T-box transcription factors in the effector subpopula-
tions, Western blot analysis was performed using whole cell lysates of naïve and memory T cells, and TILs on
days 0, 3, 5 and 8 post TCR activation. Our experiments revealed clear differences in the kinetics of T-bet and
Eomes expression during CD8+ T cell activation (Fig. 3B). Effectors derived from naïve cells increased in T-bet
expression appreciably starting on day 3, reaching maximum on day 8, whereas memory cell derived effectors
gained the highest expression of T-bet earlier on day 3 and were quickly down-regulated on days 5 through 8. TILeff cells demonstrated poor expression of T-bet throughout stimulation time. While naïve and memory cells
showed increasing Eomes expression with stimulation, TILs exhibited decreasing intensity during day 5 through
8 post-activation. Such kinetics suggest that NTeff cells express higher levels of both T-bet and Eomes, and expres-
sion is sustained for longer periods during activation, in comparison to other effector groups MTeff and TILeff. Collectively, naïve T cell derived effectors appear to differentiate relatively rapidly, proliferate actively, and have
potential to be converted into long-lived memory cells. Foxp1 expression and apoptosis studies under TGF-β conditioning show favorable results for
CD8+ NTeff cells. To determine the immunosuppressive resistance potential of CD8+ NTeff cells in the tumor
microenvironment, we examined expression of Foxp1 among effector cells derived from naïve, memory, and TIL
progenitors in the presence of TGF-β. After 5 days of proliferation, effector cells were exposed to TGF-β (10 ng/mL)
for 48 hours and Foxp1 expression (day 7 post-stimulation) was evaluated by intracellular FACS staining. MTeff
and TILeff populations showed increased Foxp1 expression with TGF-β conditioning, whereas NTeff cells main-
tained their lower expression levels in three independent experiments (Fig. 3C). To confirm the increased expres-
sion of Foxp1 in CD8+ effector cells in the tumor microenvironment, Western blot analysis was performed for
effector T cell subsets under TGF-β exposure using non-stimulated naïve cells as the control. As expected, NTeff
populations expressed the lowed amount of Foxp1 protein expression relative to other effector groups, consistent
with intracellular staining results (Fig. 3D). Results
S
f Tumor growth was negative for at least 35 days after tumor inoculation
in mice injected with NTeff cells, whereas MTeff, and TILeff injected mice showed positive tumor growth within the
same time frame (Fig. 4C). Tumor growth became positive in one NTeff injected mouse at 42 days post inoculation
(data not shown). Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 Discussion Specific
cytotoxicity lysis percentages against U266 MM target cells were highest for Naïve D14 effectors compared to
other groups when E:T ratios were at least 10:1 (*p < 0.05). (C) In vivo CTL activity in the murine model. Following injection of NTeff, MTeff, and TILeff CD8+ T cells, OVAp-expressing EL4-EG7 cells (8 × 105 cells/200 µ
L) were inoculated subcutaneously in B6 recipient mice in a 1:2 ratio of target tumor to effector cells. All B6
mice injected with TILeff had positive mass (1 cm3) formation after 28 days, whereas tumor growth was
suppressed in NTeff harboring B6 mice for longer than 35 days. All data are representative of three independent
experiments and shown as mean ± SD. Figure 4. Tumor-specific CTL function of in vitro human and in vivo murine CD8+ T cells. (A) In vitro
comparison of tumor-specific CTL function of IL-2 primed human CD8+ T cells against U266 MM cells by
IFN-ɤ ELISPOT assay. CTL alone represents the control group and U266 refers to cytotoxic activity of effectors
against U266 target cells (E:T ratio of 10:1) in the absence of MHC class I restriction, expressed as the number of
IFN-ɤ spots observed. Naïve T cells activated under high-dose IL-2 for 14 days (Naïve D14) displayed highest
activity against U266 target cells. (B) LDH cytotoxicity assay of IL-2 primed human CD8+ T cells. Specific
cytotoxicity lysis percentages against U266 MM target cells were highest for Naïve D14 effectors compared to
other groups when E:T ratios were at least 10:1 (*p < 0.05). (C) In vivo CTL activity in the murine model. Following injection of NTeff, MTeff, and TILeff CD8+ T cells, OVAp-expressing EL4-EG7 cells (8 × 105 cells/200 µ
L) were inoculated subcutaneously in B6 recipient mice in a 1:2 ratio of target tumor to effector cells. All B6
mice injected with TILeff had positive mass (1 cm3) formation after 28 days, whereas tumor growth was
suppressed in NTeff harboring B6 mice for longer than 35 days. All data are representative of three independent
experiments and shown as mean ± SD. effector and memory CD8+ T cell development, short- and long-term effects of T-bet and Eomes have been
relatively well identified in the murine model, but are still limited to the context of infection and disease in
humans16,24–27. Discussion Current adoptive immunotherapy involves mainly the use of CD3-collected T cells or autologous genetically
engineered TILs, with increasing prospect for memory CD8+ cells18,19. Autologous CD8+ subpopulations hold the
advantage of avoiding contamination of immunosuppressive regulatory T cells and decrease in terminal differ-
entiation with repeated clonal proliferation in cancer patients. In order to demonstrate the superior background
of tumor-specific CTLs derived from naïve CD8+ populations we focused on clarifying the different exhaustion
characteristics, including expression check point inhibitors and transcription factors, and divergence of cytotoxic
function among different effector groups NTeff, MTeff, and TILeff. We found that naïve CD8+ effectors have rela-
tively favorable resistance patterns to immunosuppression and strong CTL potency against tumor targets. This
may be explained by the “fresh” nature of these cell groups that display lower levels of inhibitory immune check-
point receptors such as PD-1, CTLA-4, and KLRG1, leading to a greater activation and replicative potential20. Our results were consistent with reports by Hinrichs et al.21 indicating effectors derived from naïve CD8+ T cells
may be the preferable candidate for T-cell adoptive immunotherapy based on evaluation of KLRG1, CD57, CD27
expression and telomere length. Such markers represent tendency of MTeff or TILeff cells to quickly enter into a T
cell “exhaustion” phase with elevated levels of inhibitory receptors following long-term exposure to tumor antigen
and ultimately acquire a non-functional state4,22,23. Another point of consideration is the expression of two T-box transcriptional factors, T bet and Eomes, as
well as their effect on CTL differentiation. Among various transcription factors that function in pairs to regulate Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 5 www.nature.com/scientificreports/ tificreports/
Figure 4. Tumor-specific CTL function of in vitro human and in vivo murine CD8+ T cells. (A) In vitro
comparison of tumor-specific CTL function of IL-2 primed human CD8+ T cells against U266 MM cells by
IFN-ɤ ELISPOT assay. CTL alone represents the control group and U266 refers to cytotoxic activity of effectors
against U266 target cells (E:T ratio of 10:1) in the absence of MHC class I restriction, expressed as the number of
IFN-ɤ spots observed. Naïve T cells activated under high-dose IL-2 for 14 days (Naïve D14) displayed highest
activity against U266 target cells. (B) LDH cytotoxicity assay of IL-2 primed human CD8+ T cells. Discussion Previous studies have emphasized on the role of high T-bet expression, which is associated with
long-term resilience, low expression of inhibitory receptors, and protection from CD8+ T-cell exhaustion27,28,
as well as Eomes induced inhibition of cell death leading to generation or survival of memory cells17,29. In our
experiments, data showed that NTeff cells gradually increase and maintain high expression levels of both T-bet and
Eomes throughout activation, whereas other effectors quickly down-regulated these factors. It has been suggested
that high expression of T-bet correlates with a granzyme B+perforin+ phenotype where high perforin secretion
was only detected in T-bethiEomeshi/lo cells15. Stable expression of Eomes levels in NTeff and MTeff subsets show
their ability to become memory-precursor effector cells (MPECs), whereas TILeff cells enter a terminal differenti-
ation phase via down regulation of Eomes. Collectively, our data indicates that NTeff populations co-express sus-
tained, high levels of T-beta and Eomes, and a granzyme B+perforin+ phenotype representative of full cytotoxic
function. To clarify the relationship between patterns of Foxp1 expression and TGF-β, we activated T cells by in vitro
TCR stimulation and evaluated Foxp1 levels of these effectors before and after TGF-β exposure with intention
to mimic the immunosuppressive TME. As shown in a recent article7, overexpression of Foxp1 is thought to be
mediated by TGF-β signaling through Smad protein interaction, which in turn mediates c-Myc and c-Jun tran-
scriptional repression, and is expected to be upregulated after homing to the TME. However, in this study, only
whole mouse CD8+ cells were investigated and did not address subsets of human CD8+ T cells. As inferred from
our results, CD8+ NTeff are less influenced by tumor-derived inhibitory factor TGF-β, i.e., effectors derived from
naïve cells are less affected by tumor suppression mechanisms driven by Foxp1 in response to TGF-β. Importantly,
48 hours post treatment of TGF-β, a smaller percentage of NTeff cells entered apoptosis compared to MTeff and
TILeff subsets, which further offers evidence for the superior features of naïve cell derived effectors in resistance
to the TGF-β induced apoptosis effect. Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 Methods Ethical approval of studies and informed consent. All experimental protocols were approved by the
institutional ethical committee at ChonnamNational University Hwasun Hospital (CNUHH2014-146) and meth-
ods were carried out in accordance with the approved guidelines. Human peripheral blood and tumor masses
were donated from healthy donors or lung cancer patients after obtaining written informed consent from all sub-
jects. Animal experiments were performed with ethical approval from the Chonnam National University Animal
Research Committee (HCRL15001-2). Isolation of human CD8+ T cell subsets and tumor-infiltrating lymphocytes (TILs). Peripheral
blood mononuclear cells (PBMCs) were obtained from healthy donors by density gradient centrifugation
with Lymphoprep (AXIS-SHIED Rodelokka, Oslo, Norway). CD3+ and CD8+ lymphocytes were isolated by a
magnetic-activated cell sorter (MACS) using CD3 Microbeads and a CD8 T cell isolation kit (MiltenyiBiotec),
respectively. The cells were then labeled with anti-CD8, anti-CCR7, and anti-CD45RA (Ebiosciences) and sorted
into naïve and memory CD8+ T cell subsets on a BD fluorescence activated cell sorting (FACS) Aria sorter (BD
Biosciences). For extraction of TILs, tissue from lung tumor samples were minced and digested with collagenase
(2.5 mg/ml collagenase I) at 37 °C for one hour. Cell suspension was then twice filtered through 100-μm and
40-μm cell strainers (BD Biosciences) to obtain single cells. TILs were isolated from single cells utilizing density
gradient centrifugation with Lymphoprep and further purified using CD8 MicroBeads (MiltenyiBiotec). Generation of human CD8+ effector subgroups and proliferation assay. Isolated naïve, memory,
and TIL subpopulations were mixed in a 1:1 ratio with Human T-Activator CD3/CD28 Dynabeads (Gibco, Life
Technologies) and cultured on CD2-coated plates (CD2-Biotin functional grade, MiltenyiBiotec). Carboxyl fluo-
rescein succinimidyl ester (CFSE) studies were performed by labeling cells with 2.5 μM CFSE (Life Technologies)
before stimulation. Three and 5 days post-stimulation, CFSE division of cells was determined by flow cytometry
and analyzed using FlowJo Version 10.0.7 software. After 5 days of stimulation, activation of effector cells was
determined by FACS analysis based on CD62L, CD25, CD44, and OX40 expression. Telomere lengths. Relative telomere lengths (RTL) of effector cells were determined by comparing test
cells to a control cell line (human T-cell lymphoblast-like cell line CCRF-CEM, Sigma-Aldrich) using a DAKO
Telomere PNA Kit (DAKO). Test cells (NTeff, MTeff, and TILeff) and control cells (cell line 1301) were washed in
PBS and mixed in a 1:1 ratio. www.nature.com/scientificreports/ generation, and secondary expansion31. In addition, high-dose IL-2 may strongly induce the proliferation as
well as stimulation of naïve CD8+ T cells both in vitro and in vivo32. In our research, high-dose IL-2 (1 μg/mL)
stimulated naïve CD8+ T cells, which were then co-cultured with autologous DCs, could successfully generate
strong CTLs within a short duration. By evaluation of ELISPOT and LDH assay, Naïve D14 and Naïve D7 both
generated CTLs with a high number of IFN-ɤ spots and better (Naïve D14) or similar (Naïve D7) cytotoxic effects
compared to CD3+ CTLs. As mentioned, high concentrations of IL-2 (0.1–1 μg/mL) are necessary for stimula-
tion of CD8+ naïve T cells through the antigen-independent manner13. Although our antigen-loaded DCs could
induce antigen-specific CTLs from CD8+ naive T cells, higher than conventional dose IL-2 was required not only
for proliferation of the limited number of antigen-specific naïve CD8+ T cells but also for generation of potent
CTLs. During cytokine stimulation, high-dose IL-2 plays an important role in both pre-activation (during 7 days
co-culture with naïve T cells) and co-activation (during 7 days co-culture with IL-2 primed T cells and DCs). In
the co-activation period, high-dose IL-2 could potentially be used with other ɤc cytokines (IL-7, IL-15) for greater
generation of CTLs. However, the optimal exposure times of high-dose IL-2 to tumor-specific naïve CD8+ T cells
remains to be determined.f Taken together, our results provide a relatively complete framework for collecting effector cells derived from
naïve origin and present a practical method to effectively generate strongly functional NTeff populations with
the use of high-dose IL-2 (1 μg/mL). Nowadays, human T lymphocytes, which can be genetically engineered
prior to adoptive transfer, can express virtually any target gene, by application of techniques involving genes
encoding T-cell receptors (TCRs) or chimeric antigen receptors (CARs) to provide the desired T-cell specificity11. CAR-redirected T lymphocytes (CAR-T cells) are mostly limited to memory and effector T cells33–35 due to potent
cytotoxic function. However, the appropriate substrate of effector T cells for clinical use is still controversial and
the development of antigen escape variants may represent the limitation of monoclonal specificity. www.nature.com/scientificreports/ To obtain an
adequate amount of effector cells with exceeding cytotoxic function, we suggest that naïve cells should be consid-
ered as a candidate for CAR-T therapy.f py
In summary, primary effector cells derived from naïve CD8+ T cells showed the highest potential for adoptive
cell transfer therapy, with lower expression of inhibitory surface markers, higher secretion of cytotoxic cytokines,
and improved resistance to TGF-β induced suppression in the TME, in comparison to secondary effectors derived
from memory or TIL CD8+ cells. High-dose IL-2 priming amplifies the number of tumor-specific naïve CD8+
T cells without clonal exhaustion and results in the generation of potent tumor-reactive CTLs with capacity to
overcome tumor-derived immune suppression. Discussion These findings provide indication for the use of TGF-β inhibitors29, NTeff
engineered to express a dominant-negative mutant of the TGF-β receptor30, and Foxp1-deficient NTeff, with objec-
tives to enhance the immunosuppressive resistance of lymphocytes in the TME in various clinical applications.h pp
y
p
y
pp
The essential role of high-dose IL-2 in cancer has now been widely discussed, especially because IL-2 is
suspected to optimize all stages of CD8+ T cell response, including primary expansion, contraction, memory Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 6 www.nature.com/scientificreports/ Methods For Western analysis, whole-cell protein lysates were obtained from effector CD8+
T cells at 4 time points (0, 3, 5, and 8 days post-stimulation) with lysis buffer Proprep (INTRON Biotechnology)
by suspending 106 cells in 10 μl buffer and incubating on ice for 30 minutes in the presence of Halt Protease &
Phosphatase inhibitors cocktail (Thermo Scientific). Cell lysates were resolved by 10% Bis-Tris SDS PAGE Gel,
transferred onto PVDF membrane (Merck), blocked with 5% skim milk in TBST buffer containing 0.1% Tween-
20, and probed with the following mAbs: T-bet (4B10, Santa Cruz), Eomes (Y-20, Santa Cruz), Foxp1 (polyclonal,
Abcam), and β-actin (C4, Santa Cruz). Quantification of detected protein was performed with an Intelligent Dark
Box unit (LAS-3000; Fujifilm) and normalized for loading with the amount of β-actin (1:5000) detected in each
lane. Generation of human tumor-specific CTLs. Mature dendritic cells (mDCs) were pulsed with apoptotic
body (irradiated U266 cell line) at a 2:1 ratio (2 × 105 DC: 105 U266) from day 6 to day 8 and then presented to
CD8+ T cells at a 1:10 ratio (2 × 105 DC: 2 × 106 CD8+ T cell). Naïve and memory T cells were isolated from the
same donor and cultured in different conditions. To visualize cytokine-activated proliferation and determine the
optimal co-culturing start time with antigen-loaded mDCs post high-dose IL-2 activation, activated naïve CD8+
T cells were labeled with CFSE and analyzed at various time points (Supplementary Fig. S1). Initiation of peak
expansion at 7 days post high-dose IL-2 lead to the decision to start co-culture of cells with mDCs after 7 days of
high-dose IL-2 pretreatment. Naïve cells were activated with high-dose IL-2 (1 µg/mL) in two conditions; 14 day
exposure to high-dose IL-2 (Naïve D14; 7 days pretreatment and during 7 days of mDC co-culture) and 7 day
exposure to high-dose IL-2 (Naïve D7; 7 days pretreatment only followed by 7 days of mDC co-culture without
high-dose IL-2). For control, we cultured naïve and memory cells under equal conditions; 7 day mDC co-culture
with IL-2 (10 ng/mL) and IL-7 (10 ng/mL), labeled Naïve D0 and Memory, respectively. After mDC co-culture, 4
groups of CD8+ CTLs (Naïve D14, Naïve D7, Naïve D0, and Memory) and CD3+ CTLs (cultured as previously
described) were harvested for cytotoxic analysis. Cytotoxic functional evaluation of human tumor-specific CTLs. Methods A total of 5 × 105 cells were resuspended in 300 μl of hybridization solution contain-
ing 70% formamide either without a probe (unstained control) or with a fluorescein-conjugated telomere PNA
probe. The cells were heated for 10 min at 82 °C for DNA denaturation and hybridization was performed over-
night at room temperature. Subsequently, cells were washed and resuspended in 0.5 ml of DAKO DNA staining
solution and incubated at 2–8 °C for 2 hours. Samples were then analyzed by flow cytometry using logarithmic
scale FL1-H for probe fluorescence and linear scale FL3-H for DNA staining. RTLs of the sample cells were cal-
culated per manufacturer’s instructions and reported as mean ± standard deviation (SD) for triplicate samples. Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 7 www.nature.com/scientificreports/ Surface and intracellular staining using FACS. For surface staining, cells were labeled with mAbs
against various targets including CD8, CD62L, CCR7, CD45RA, CD45RO, CD25, CD44, OX40, PD-1, CTLA-4,
and KLRG-1 (Ebiosciences), incubated at 4 °C for 15 minutes, then washed twice with PBS 1% FBS (FACS buffer),
and finally fixed in PBS containing 1% paraformaldehyde (Fix buffer). For T-bet (4B10) and Eomes (Dan11mag),
and Foxp1 intracellular staining, cells were first labeled with surface markers CD8, CD62L, OX40 (Ebiosciences)
for T-bet and Eomes, or CD25 (BD Biosciences), CD8, CD27, and CD44 (Ebiosciences) for Foxp1 detection,
respectively, and then fixed and permeabilized with Foxp3/Transcription Factor Fixation/Permeabilization
Concentrate and Diluent (Ebiosciences) in a 96-round-well plate. Intracellular labeling for T-bet and Eomes
(Ebiosciences), and Foxp1 (LifeSpan Technologies) was performed according to manufacturer’s instruction. For
evaluation of Perforin, Granzyme B, and IFN-ɤ cytokine secretion, effector cells were incubated with brefeldin
A for 4 hours at 37 °C to disrupt Golgi-mediated transport and accumulate cytokines. Cells were then surface
stained, permeabilized with BD Cytofix/Cytoperm™ Fixation/Permeabilization Solution Kit (BD Biosciences),
and intracellularly stained as recommended. Flow cytometry data was analyzed using FlowJo Version 10.0.7
software. Apoptosis under TGF-β conditioning. For evaluation of apoptosis, individual effector CD8+ T cell
populations were exposed under TGF-β (10 ng/mL) 48 hrs and stained with Annexin V FITC (FITC Annexin
V Apoptosis Detection Kit I). Briefly, 1 × 106 cells were washed twice with cold PBS and stained with 5 μL of
Annexin-V-FITC in binding buffer for 15 minutes at room temperature. Apoptotic cells were evaluated by flow
cytometry according to the manufacturer’s protocol (BD Pharmigen). Western blot protocol. Methods The U266 cell line was chosen as
target cells for our cytotoxic assays based on its expression of E-Cadherin and PD-L1 (Supplementary Fig. S2),
which are ligands of KLRG-1 and PD-1, respectively. ELISPOT assay (BD Biosience) was performed to quantify
antigen-specific IFN-ɤ releasing effector T cells. 2 × 105 of the effector T cells were co-cultured with 2 × 104 U266
target cells in a 96-well nitrocellulose flat-bottom plate for 24 hours at 37 °C. IFN-ɤ ELISPOT was measured in the
presence or absence of MHC class I specific monoclonal antibody (W6/32) with CTLs alone as the control, and
spots were counted with ImmunoSpot Reader (Cellular Technology Ltd, Ohio). Data is presented as the mean
number of spots ± SD of IFN- ɤ secreting cells per well of triplicate samples. p
g
p
p
p
Evaluation of CD8+ and CD3+ CTL functional activity was performed using the Cytotoxicity Detection Kit
LDH (Roche Applied Science, Basel, Switzerland) according to the manufacturer’s protocol36,37. Cytotoxicity of
CTLs was calculated according to the following formula: % cell lysis = (experimental – effector spontaneous –
low control) x 100/(high control – low control), where “experimental” corresponds to the experimental signal
value, “effector spontaneous” to the spontaneous background signal value of the effector cells alone, “low control”
to the spontaneous background signal value of target tumor cells alone, and “high control” to the maximum sig-
nal value of target cells in medium containing 1% Trixton X-100. Cytotoxicity assays were performed for varying
effector cell (E) to target cell (T) ratios, and specific cytotoxicity lysis percentages are reported as the mean ± SD
of triplicate samples. T cell purification, in vitro stimulation, and in vivo CTL assay of the murine model. C57BL/6 (B6)
mice were purchased from Orient Bio (Iksan, South Korea) and OT-1.Thy1.1 TCR transgenic mice on a B6 back-
ground were obtained from the Institute for Basic Science (IBS; Pohang, South Korea). All mice were used in
experiments at 6 to 12 weeks of age according to protocol. Pooled lymph nodes from OT-1 transgenic mice were
stained with fluorochrome-conjugated antibodies to CD4, CD8, CD25, CD44 and CD62L and sorted to obtain 8 Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 www.nature.com/scientificreports/ CD44−CD62L+ naïve or CD44+ memory-phenotype (MP) CD8+ T cells using FACS. CD8+ TILs were obtained
from B6 mice that were inoculated subcutaneously with OVAp-expressing EL4-EG7 tumor cell lines. References Smith, C. et al. Endogenous antigen presentation impacts on T-box transcription factor expression and functional maturation o
CD8+ T cells. Blood 120, 3237–3245 (2012).hf 6. Thaventhiran, J. E., Fearon, D. T. & Gattinoni, L. Transcriptional regulation of effector and memory CD8+ T cell fates. Curren
Opinion in Immunology 24, 321–328 (2014). 7. Banerjee, A.et al. Cutting edge: the transcription factor eomesodermin enables CD8+ T cells to compete for the memory cell niche
J. Immunol. 185, 4988–4992 (2010). 8. Restifo, N. P., Dudley, M. E. & Rosenberg, S. A. Adoptive immunotherapy for cancer: harnessing the T cell response. Nat Rev
Immunol. 12, 269–81 (2012). 9. Busch, D. H., Fräßle, S. P., Sommermeyer, D., Buchholz, V. R. & Riddell, S. R. Role of memory T cell subsets for adoptive
immunotherapy. Semin Immunol. 16, S1044–5323 (2016). . Wherry, E. J. et al. Molecular signature of CD8+ T cell exhaustion 0. Wherry, E. J. et al. Molecular signature of CD8+ T cell exhaustion during chronic viral infection. Immunity 27, 670–684 (2007). 1. Hinrichs, C. S. et al. Adoptively transferred effector cells derived from naïve rather than central memory CD8+ T cells mediat
superior antitumor immunity. Proc Natl Acad Sci. USA 106, 17469–17474 (2009).h y
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21. Hinrichs, C. S. et al. Adoptively transferred effector cells derived from naïve rather than central memory CD8+ T cells mediate
superior antitumor immunity. Proc Natl Acad Sci. USA 106, 17469–17474 (2009). ,
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superior antitumor immunity. Proc Natl Acad Sci. USA 106, 17469–17474 (2009).h The blockade of immune checkpoints in cancer immunotherapy. N h
3. Kim, P. S. & Ahmed, R. Features of responding T cells in cancer and chronic infection. Curr. Opin. Immunol. 22, 223–230 (2010). k d
l
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fi h 23. Kim, P. S. & Ahmed, R. Features of responding T cells in cancer and chronic infection. Curr. Opin. Immunol. 22, 223 230 (2010). 24. Makedonas, G. et al. Perforin and IL-2 upregulation define qualitative differences among highly functional virus-specific human
CD8 T cells. PLoS Pathog. 6, e1000798 (2010).if CD8 T cells. PLoS Pathog. 6, e1000798 (2010)i 5. Hertoghs, K. M. et al. Molecular profiling of cytomegalovirus-induced human CD8+ T-cell differentiation. J Clin Invest. 120
4077–4090 (2010).i 6. Hersperger, A. R. et al. Increased HIV-specific CD8 T-cell cytotoxic potential in HIV elite controllers is associated with T-be
expression. Methods For in vitro
stimulation, sorted naïve, MP, and TIL CD8+ T cells were cultured on plate-bound anti-CD3 and anti-CD28 with
IL-2 (10 ng/mL) and IL-15 (10 ng/mL). Effector cell surface staining procedure for PD-1, KLRG-1, and LAG3
labeling was identical to human cell methods previously described. In vivo CTL functional assay was performed
using OVAp-expressing EL4-EG7 tumor cell lines as target cells. EL4-EG7 tumor cells (0.8 × 105 cells/200 µL)
were inoculated subcutaneously in recipient B6 mice and 8 hours later, NTeff, MTeff, and TILeff were injected intra-
venously in a 2:1 ratio of effector to target cells. A tumor mass growth of greater than 1 cm3 was considered as
positive tumor formation. Statistical analysis. The two-tailed student’s t test was used to determine differences in the mean. P values
of less than 0.05 were considered statistically significant. Statistical analysis. The two-tailed student’s t test was used to determine differences in the mean. P values
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(2010). 2. Cho, J. H. et al. An intense form of homeostatic proliferation of naive CD8+ cells driven by IL‑2. J. Exp. Med. 204, 1787–1801 (2007) 33. Pule, M. A. et al. Virus-specific T cells engineered to coexpress tumor-specific receptors: persistence and antitumor activity in
individuals with neuroblastoma. Nat. Med. 14, 1264–1270 (2008).i 4. Savoldo, B. et al. CD28 costimulation improves expansion and persistence of chimeric antigen receptor-modifid T cells in lymphoma
patients. J. Clin. Invest. 121, 1822–1826 (2011).f 35. Kalos, M. et al. T cells with chimeric antigen receptors have potent antitumor effects and can establish memory in patients with
advanced leukemia. Sci. Transl. Med. 3, 95ra73 (2011). Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 9 www.nature.com/scientificreports/ 36. Neri, S., Mariani, E., Meneghetti, A., Cattini, L.&Facchini, A. Calcein-acetyoxymethyl cytotoxicity assay: standardization of a
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37. Bae, J. et al. A novel immunogenic CS1-specific peptide inducing antigen-specific cytotoxic T lymphocytes targeting multiple
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37. Bae, J. et al. A novel immunogenic CS1-specific peptide inducing antigen-specific cytotoxic T lymphocytes targeting multiple
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This research was supported by the Basic Science Research Program through the National Research Foundation
of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2013R1A1A1061513), by Chonnam
National University Hwasun Hospital Institute for Biomedical Sciences (HCRI 14030-21), and by Chonnam
National University Research Institute of Medical Sciences (2013-CURIMS-DR007). g
This research was supported by the Basic Science Research Program through the National Research Foundation
of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2013R1A1A1061513), by Chonnam
National University Hwasun Hospital Institute for Biomedical Sciences (HCRI 14030-21), and by Chonnam
National University Research Institute of Medical Sciences (2013-CURIMS-DR007). Author Contributions D.-H.Y. and J.-H.C. designed the study; H.H.N., S.P. and H.H.C. performed the experiments; D.-H.Y., H.H.N. and T.K. analyzed the data; H.H.N. and T.K. prepared the manuscript; S.Y.S., J.-S.H., J.-S.A., H.-J.K., H.-O.K. and
J.-J.L. critically reviewed the manuscript. D.-H.Y. and J.-H.C. designed the study; H.H.N., S.P. and H.H.C. performed the experiments; D.-H.Y., H.H.N. and T.K. analyzed the data; H.H.N. and T.K. prepared the manuscript; S.Y.S., J.-S.H., J.-S.A., H.-J.K., H.-O.K. and
J.-J.L. critically reviewed the manuscript. Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 Additional Information Supplementary information accompanies this paper at http://www.nature.com/srep Supplementary information accompanies this paper at http://www.nature.com/srep Competing financial interests: The authors declare no competing financial interests. How to cite this article: Nguyen, H. H. et al. Naïve CD8+ T cell derived tumor-specific cytotoxic effectors as
a potential remedy for overcoming TGF-β immunosuppression in the tumor microenvironment. Sci. Rep. 6,
28208; doi: 10.1038/srep28208 (2016). How to cite this article: Nguyen, H. H. et al. Naïve CD8+ T cell derived tumor-specific cytotoxic effectors as
a potential remedy for overcoming TGF-β immunosuppression in the tumor microenvironment. Sci. Rep. 6,
28208; doi: 10.1038/srep28208 (2016). How to cite this article: Nguyen, H. H. et al. Naïve CD8+ T cell derived tumor-specific cytotoxic effectors as
a potential remedy for overcoming TGF-β immunosuppression in the tumor microenvironment. Sci. Rep. 6,
28208; doi: 10.1038/srep28208 (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/ Scientific Reports | 6:28208 | DOI: 10.1038/srep28208 10
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Tunable giant magnetoresistance in a single-molecule junction
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Nature communications
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ARTICLE 9-11587-x Results Topographic image of FePc. After adsorption on Au(111), the
FePc molecule appears in STM images as a cross with a central
protrusion (Fig. 2a). The FePc molecule under study adsorbs at
the bridge site of Au(111) (Supplementary Fig. 1). Our DFT
calculation shows that the total spin magnetic moment of Fe is
2.05 μB and, in the ground state, it orients close to the plane of the
molecule (easy-plane magnetic anisotropy). g y
Here, we measured the transport through a single iron
phthalocyanine (FePc) molecule using a scanning tunneling
microscope (STM), which provides an ideal experimental plat-
form to study the single-molecule transport in an atomically well-
defined environment5,9,11–13. Our single-molecule device consists
of an FePc molecule attached to a Au(111) surface and an STM
tip (Fig. 1). The two metal electrodes (Au and tip) serve as the
source and drain. Normally, an electrostatic gate is used to shift
the chemical potential of the molecular level12,14. In our experi-
ment, we use an external magnetic field as a handle to control
the spin states and the conductance of the single-molecule
junction. Temperature and magnetic-field dependence of dI/dV spectra. To resolve the molecular spin states, we measured differential
conductance (dI/dV) spectra at the Fe center of the molecule. At
zero magnetic field, the dI/dV spectrum exhibits a sharp dip
around EF (Fig. 2a). The dip intensity decreases rapidly with
increasing temperature and disappears completely above 8 K
(Fig. 2b). The sharp dip at EF is attributed to the Kondo effect
since
the
dip
conductance
decreases
logarithmically
with
decreasing temperature (Supplementary Fig. 2a), which is a
characteristic feature of the Kondo effect27. The
FePc
molecule
belongs
to
a
class
of
planar
metal–phthalocyanine molecules, which have an indispensable role
in spintronic applications due to the wide range of tunability of the
spin-bearing centers1,15–20. The interaction of the magnetic mole-
cules with a metal substrate can lead to a collective quantum
behavior, such as the Kondo effect in which the spin moment is
screened by the coherent spin–flip process of the conduction elec-
trons, giving rise to a Kondo resonance at the Fermi level (EF)10,21. The line shape of Kondo resonance in the conductance spectra
is sensitive to the local electronic and magnetic environment,
such as conformational changes22, inter-molecular interaction11,
charge donation23, axial coordination24,25, and filling of d-
orbitals16,23,26. Figure 2c shows the evolution of the dI/dV spectra at different
magnetic field. ARTICLE ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x S
ingle molecular magnets in contact with metal electrodes
are exciting playgrounds to study spin-dependent transport
through a single molecule1–5, to examine fundamental
magnetic interactions6 and quantum many-body phenomena3,4,
and they are essential building blocks for spintronics devices1,7,8. S
ingle molecular magnets in contact with metal electrodes
are exciting playgrounds to study spin-dependent transport
through a single molecule1–5, to examine fundamental
magnetic interactions6 and quantum many-body phenomena3,4,
and they are essential building blocks for spintronics devices1,7,8. The molecular spin states can be controlled mechanically3, elec-
trically4, or by magnetic field4,9,10, providing a useful handle to
tune the flow of current. For example, using a magnetic field,
spin-dependent transport phenomena can be tuned at the single-
molecule level, such as the negative differential resistance9 or the
highly correlated Kondo effect10. in the tip–FePc–Au junction and demonstrate that the electrons
travel through the FePc by two possible d orbitals: dz2 and dπ (dπ
represents dxz or dyz), and that the single-electron passage
through the FePc can be controlled by the external magnetic field
(Fig. 1). Density functional theory (DFT) calculations reveal that
this unique tunability originates from the reorientation of the
magnetic moment on the Fe atom. The molecular spin states can be controlled mechanically3, elec-
trically4, or by magnetic field4,9,10, providing a useful handle to
tune the flow of current. For example, using a magnetic field,
spin-dependent transport phenomena can be tuned at the single-
molecule level, such as the negative differential resistance9 or the
highly correlated Kondo effect10. Results The sharp Kondo dip at EF becomes shallower but
its width remains almost unchanged with increasing magnetic
field for B < 4 T. At B = 4 T the Kondo dip is completely
suppressed. When the magnetic field is above 4 T, a peak emerges
at EF and becomes more pronounced and broader with increasing
magnetic field. We use the line shape and spatial distribution of the Kondo
resonance of FePc as indicators to monitor the electron pathway Spatial distribution of the Kondo resonance. The dip-to-peak
transition of the Kondo resonance indicates the change of the B
weak
B
strong
V
V
I
I
Au(111)
Au(111)
Tip
Tip
a
b
dxz
dz²
dxz
dz²
Fig. 1 A tunable single-molecule device in the STM junction. a and b Schematics of the electron transport process through an FePc molecule adsorbed on a
Au(111) surface at different magnetic fields. The Au substrate and STM tip are the two terminals of the single-molecule device. The magnetic field can be
viewed as a gate to control the molecular spin states. The arrays of green lines indicate the magnetic field lines. During the electron transport through the
FePc, the tunneling electron has two possible passages corresponding to two molecular orbitals (dz2 or dxz/dyz). At weak magnetic field as in a, the spin
direction of Fe is in plane and currents flow by the dxz/dyz orbital. At strong magnetic field as in b, Fe spin is aligned to the magnetic field and electrons
tunnel preferentially through the dz2 orbital b a Fig. 1 A tunable single-molecule device in the STM junction. a and b Schematics of the electron transport process through an FePc molecule adsorbed on a
Au(111) surface at different magnetic fields. The Au substrate and STM tip are the two terminals of the single-molecule device. The magnetic field can be
viewed as a gate to control the molecular spin states. The arrays of green lines indicate the magnetic field lines. During the electron transport through the
FePc, the tunneling electron has two possible passages corresponding to two molecular orbitals (dz2 or dxz/dyz). At weak magnetic field as in a, the spin
direction of Fe is in plane and currents flow by the dxz/dyz orbital. Tunable giant magnetoresistance in a single-
molecule junction Kai Yang1,5, Hui Chen1,5, Thomas Pope
2,5, Yibin Hu3,5, Liwei Liu1, Dongfei Wang
1, Lei Tao1, Wende Xiao
1,
Xiangmin Fei1, Yu-Yang Zhang
1, Hong-Gang Luo4, Shixuan Du1, Tao Xiang1, Werner A. Hofer1,2 &
Hong-Jun Gao
1 Kai Yang1,5, Hui Chen1,5, Thomas Pope
2,5, Yibin Hu3,5, Liwei Liu1, Dongfei Wang
1, Lei Tao1, Wende Xiao
1,
Xiangmin Fei1, Yu-Yang Zhang
1, Hong-Gang Luo4, Shixuan Du1, Tao Xiang1, Werner A. Hofer1,2 &
Hong Jun Gao
1 Controlling electronic transport through a single-molecule junction is crucial for molecular
electronics or spintronics. In magnetic molecular devices, the spin degree-of-freedom can be
used to this end since the magnetic properties of the magnetic ion centers fundamentally
impact the transport through the molecules. Here we demonstrate that the electron pathway
in a single-molecule device can be selected between two molecular orbitals by varying a
magnetic field, giving rise to a tunable anisotropic magnetoresistance up to 93%. The unique
tunability of the electron pathways is due to the magnetic reorientation of the transition metal
center, resulting in a re-hybridization of molecular orbitals. We obtain the tunneling electron
pathways by Kondo effect, which manifests either as a peak or a dip line shape. The energy
changes of these spin-reorientations are remarkably low and less than one millielectronvolt. The large tunable anisotropic magnetoresistance could be used to control electronic trans-
port in molecular spintronics. 1 Institute of Physics & University of Chinese Academy of Sciences, Chinese Academy of Sciences, 100190 Beijing, China. 2 School of Natural and
Environmental Sciences, Newcastle University, Newcastle NE1 7RU, UK. 3 State Key Laboratory of Infrared Physics, Shanghai Institute of Technical
Physics, Chinese Academy of Sciences, 200083 Shanghai, China. 4 School of Physical Science and Technology, Lanzhou University, 730000 Lanzhou,
China. 6These authors contributed equally: Kai Yang, Hui Chen, Thomas Pope, Yibin Hu. Correspondence and requests for materials should be addressed
to W.A.H. (email: Werner.Hofer@newcastle.ac.uk) or to H.-J.G. (email: hjgao@iphy.ac.cn) 1 NATURE COMMUNICATIONS | (2019) 10:3599 | https://doi.org/10.1038/s41467-019-11587-x | www.nature.com/naturecommunicatio TURE COMMUNICATIONS | (2019) 10:3599 | https://doi.org/10.1038 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x a dI/dV spectra taken on the Fe center at 0.4 K and zero magnetic field, showing a
Kondo dip superimposed on a broad feature near EF (setpoint: I = 0.2 nA, Vb = −0.1 V). Inset: STM image of an FePc on Au(111) (3.2 nm × 3.2 nm, I = 10
pA, Vb = −0.2 V). b Evolution of the dI/dV spectra of FePc at increasing temperatures in the absence of magnetic field (setpoint: I = 0.3 nA, Vb = −60
mV). Successive spectra are offset for clarity. The dip at EF vanishes above 8 K, making two broad resonances visible. The broad two-peak feature was
originally attributed to a Kondo feature in ref. 15. However, in this work we note the similarity between the spectra and the density of states for the
underlying gold bulk (Supplementary Fig. 7), suggesting that this is in fact the source of the broader feature. c Evolution of the dI/dV spectra of FePc with
increasing magnetic field at 0.4 K (setpoint: I = 0.3 nA, Vb = −60 mV), showing a dip-to-peak transition. a.u., arbitrary units molecular spin states with magnetic field. To gain a better
understanding of the spin states, we studied the spatial distribu-
tion of the Kondo resonance over the FePc molecule by per-
forming spectroscopic mapping near EF under varying magnetic
fields (Fig. 3 and Supplementary Fig. 3). At zero or low fields, the
Kondo resonance shows a non-circular spatial distribution
(Fig. 3a). This distribution is not due to drifting during mea-
surement, as confirmed by dI/dV spectra taken along different
axes over the FePc molecule (Fig. 3b, c). It shows that the Kondo
resonance (dip) decays slower along one axis of the feature
(Fig. 3c) than the other (Fig. 3b). In comparison, at high magnetic
fields (above 4 T), the Kondo resonance (peak) is more localized
on the molecular center, with a radial symmetry (Fig. 3d–f). At
intermediate field strengths of 3–6 T, the Kondo resonance is
largely invisible (Supplementary Fig. 3c, d). different d orbital character in the ground states. A level crossing
within the low-energy spin multiplet with quenched orbital
angular momentum cannot explain the change of the spatial
distribution of the Kondo resonance with increasing magnetic
field, since this scenario would only result in a tiny change of the
orbital composition in the wave function. Reorientation of the Fe magnetic moment. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x Sample bias (mV)
Kondo
FePc
[112]
1 nm
[110]
–200 –100
0
100
200
dI/dV (a.u.)
a Sample bias (mV)
–20
–10
0
10
20
Sample bias (mV)
–20
–10
0
10
20
Sample bias (mV)
Kondo
FePc
[112]
1 nm
[110]
–200 –100
0
100
200
dI/dV (a.u.)
dI/dV (a.u.)
dI/dV (a.u.)
a
b
c
0.4 K
4.2 K
5.3 K
6.3 K
7.8 K
8.9 K
10.9 K
0 T
2 T
3 T
4 T
5 T
6 T
9 T
11 T
At 0 tesla
At 0.4 K
Fig. 2 dI/dV spectra under variation of temperature and magnetic field. a dI/dV spectra taken on the Fe center at 0.4 K and zero magnetic field, showing a
Kondo dip superimposed on a broad feature near EF (setpoint: I = 0.2 nA, Vb = −0.1 V). Inset: STM image of an FePc on Au(111) (3.2 nm × 3.2 nm, I = 10
pA, Vb = −0.2 V). b Evolution of the dI/dV spectra of FePc at increasing temperatures in the absence of magnetic field (setpoint: I = 0.3 nA, Vb = −60
mV). Successive spectra are offset for clarity. The dip at EF vanishes above 8 K, making two broad resonances visible. The broad two-peak feature was
originally attributed to a Kondo feature in ref. 15. However, in this work we note the similarity between the spectra and the density of states for the
underlying gold bulk (Supplementary Fig. 7), suggesting that this is in fact the source of the broader feature. c Evolution of the dI/dV spectra of FePc with
increasing magnetic field at 0.4 K (setpoint: I = 0.3 nA, Vb = −60 mV), showing a dip-to-peak transition. a.u., arbitrary units Sample bias (mV)
–20
–10
0
10
20
dI/dV (a.u.)
b
0.4 K
4.2 K
5.3 K
6.3 K
7.8 K
8.9 K
10.9 K
At 0 tesla Sample bias (mV)
–20
–10
0
10
20
dI/dV (a.u.)
c
0 T
2 T
3 T
4 T
5 T
6 T
9 T
11 T
At 0.4 K Sample bias (mV)
–20
–10
0
10
20
dI/dV (a.u.)
c
0 T
2 T
3 T
4 T
5 T
6 T
9 T
11 T
At 0.4 K b a c Sample bias (mV) Sample bias (mV) Sample bias (mV) Fig. 2 dI/dV spectra under variation of temperature and magnetic field. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x To confirm this, we
performed noncollinear DFT calculations for both the in-plane
configuration (Fe magnetic moment in the plane of the mole-
cule), and the out-of-plane configuration (Fe magnetic moment
aligned to the magnetic field, perpendicular to the molecular
plane). Our DFT calculations show that at zero magnetic field
the Fe magnetic moment is in the plane of the molecule. The
reorientation of the magnetic moment at strong field is possible
because the Zeeman energy due to the external magnetic field
(~4 T) is comparable with the in-plane magnetic anisotropy of
the Fe spin (~1 meV from DFT calculations). Similar energy
scale of this magnetic anisotropy energy was obtained by
other simulations30. Figure 4a, b show the calculated band-
decomposed partial density of states (PDOS) of the d orbitals
for both magnetic configurations. By comparing spatial dis-
tribution of the molecular orbitals closest to EF (Fig. 4c, d) with
the experimental spatial distribution of the Kondo resonance,
we find that the non-circular depression at low field is due to
the dπ orbital (Fig. 4c), while the circular protrusion at high
field is due to the dz2 orbital (Fig. 4d). We also find that the
relative population of the two orbitals changes as the magnetic
moment orientates onto the direction of the magnetic field. The
re-hybridization of the molecular orbitals of the magnetic
ground state thus gives rise to the change of spatial distribution
of the zero-bias conductance (Kondo resonance) over the FePc
molecule as shown in Fig. 3. Note that the reorientation of the
magnetic moment doesn’t mean that the Zeeman energy
induces direct orbital transitions, since only the low-energy
density distribution of the d orbitals near EF changes. g y
y
g
The spatial distribution of the Kondo resonance is determined
by the electron orbital responsible for the resonance, that is, the
local distribution of electron charge of the responsible orbital11,28. The two different spatial distributions (non-circular or circular)
suggest two distinct Kondo screening channels originating from
two d orbitals at different magnetic fields. The change of spatial
distributions
of
Kondo
resonance
can
be
understood
by
considering the different spatial symmetries of the dπ and dz2
orbitals (Fig. 1). Results At strong magnetic field as in b, Fe spin is aligned to the magnetic field and electrons
tunnel preferentially through the dz2 orbital NATURE COMMUNICATIONS | (2019) 10:3599 | https://doi.org/10.1038/s41467-019-11587-x | www.nature.com/naturecommunications 2 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x NATURE COMMUNICATIONS | (2019) 10:3599 | https://doi.org/10.1038/s41467-019-11587-x | www.nature.com/naturecommunications NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x The Kondo resonance (peak) displays a
nearly circular spatial distribution in d Sample bias (mV)
–20
–10
0
10
20
Sample bias (mV)
–20
–10
0
0
1
2
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4
5
6
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20
Distance from the center (Å)
0
1
2
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4
5
6
Distance from the center (Å)
5 Å
5 Å
0 T
0 T
b
c 5 Å
0 T
a Sample bias (mV)
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1
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3
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Distance from the center (Å)
5 Å
0 T
c b c Distance from the center (Å) Sample bias (mV)
LO
HI
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5
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20
Distance from the center (Å)
Sample bias (mV)
–20
–10
0
10
20
0
1
2
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6
Distance from the center (Å)
5 Å
5 Å
9 T
9 T
e
f HI
Sample bias (mV)
–20
–10
0
10
20
0
1
2
3
4
5
6
Distance from the center (Å)
5 Å
9 T
f Sample bias (mV)
LO
–20
–10
0
0
1
2
3
4
5
6
10
20
Distance from the center (Å)
5 Å
9 T
e LO
HI
5 Å
9 T
d d LO HI Fig. 3 Spatial distribution of the Kondo resonance at different magnetic fields. a dI/dV mapping taken around the Fermi energy at 0 T (setpoint: I = 0.3 nA,
Vb = −40 mV. Image size: 2.2 nm × 2.2 nm). b and c dI/dV spectra taken along different directions on the FePc molecule (as indicated by the arrows). The
spectra start from the Fe center and end at about 6 Å away. The black dashed line roughly indicates the position where the Kondo resonance is too weak to
see in the dI/dV spectra. Inset: STM image (2.2 nm × 2.2 nm) of the FePc. d–f, same as a–c except taken at B = 9 T. The Kondo resonance (peak) displays a
nearly circular spatial distribution in d The re-hybridization in the ground state of FePc can also be
directly visualized in the change of the line shapes of the
Kondo resonance, in addition to its spatial distribution. The
dip-to-peak transition of the Kondo resonance with external
magnetic field (Fig. 2c) can be understood by considering the
different spatial symmetries of the d orbitals. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x The line shapes of
the Kondo resonance are determined by the Fano interference
during the electron tunneling process31. Electrons originating
from the tip either tunnel through the discrete Kondo
resonance or the continuum states of the conduction electrons. The Fano asymmetry factor q is proportional to the ratio of the
probabilities of the two paths. Since different d orbitals couple
differently to the tip due to their alignments and shapes, this
will result in different Fano interference with the tunneling
into the Au state as the magnetic field increases. At high
magnetic field, the magnetic ground state is mainly contributed
by the dz2 orbital (Fig. 4d), which couples more to the tip states
due to its favorable spatial distribution (Fig. 1b). Hence at high
field the Kondo resonance appears as a peak (large q-factor). Similarly, the weaker coupling between the dπ and the tip states
results in the Kondo dip at low magnetic fields (Fig. 1a). magnetic moment is reoriented. In the in-plane configuration, the
magnetic moment is nearly perpendicular to the magnetic field
and thus the product is small. At high field, the reorientation
allows for a much larger product and, so, noticeable Zeeman
splitting (Supplementary Fig. 5). Tunneling anisotropic magnetoresistance (TAMR) of FePc. The magnetic reorientation of the Fe center by varying
the magnetic field also leads to the TAMR effect. The TAMR
effect describes the dependence of the magnetoresistance on
the magnetization orientation, and has been found in metal
film33,34, single adatoms29,35, and molecular tunneling junc-
tions36–39. In addition, the TAMR effect with non-magnetic
electrodes has been shown in mechanical break junctions40,41. Here, the magnetic FePc molecule is attached directly to a gold
metal electrode in our tunnel junction and there is no addi-
tional magnetic layer. g
y
The TAMR can be defined as TAMR(M) = (dI(0)/dV–dI(M)/
dV)/(dI(0)/dV),
where
dI(M)/dV
denotes
the
differential
conductance of FePc at the magnetic reorientation with an
out-of-plane component M39. Increasing the magnetic field
corresponds to a change of the magnetization angle from 0° to
90°. We show the TAMR of FePc as a function of bias voltage in
Fig. 4e. In the Kondo resonance region (between ±5 mV), the
TAMR can be enhanced up to 93%, much larger than the
TAMR values reported in other molecular-based TAMR
devices36–39. At intermediate magnetic field (Fig. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x Sample bias (mV)
LO
HI
LO
HI
–20
–10
0
0
1
2
3
4
5
6
10
20
Distance from the center (Å)
Sample bias (mV)
–20
–10
0
10
20
Sample bias (mV)
–20
–10
0
10
20
Sample bias (mV)
–20
–10
0
0
1
2
3
4
5
6
10
20
Distance from the center (Å)
0
1
2
3
4
5
6
Distance from the center (Å)
0
1
2
3
4
5
6
Distance from the center (Å)
5 Å
5 Å
5 Å
5 Å
5 Å
5 Å
0 T
0 T
0 T
9 T
9 T
9 T
a
b
c
d
e
f
Fig. 3 Spatial distribution of the Kondo resonance at different magnetic fields. a dI/dV mapping taken around the Fermi energy at 0 T (setpoint: I = 0.3 nA,
Vb = −40 mV. Image size: 2.2 nm × 2.2 nm). b and c dI/dV spectra taken along different directions on the FePc molecule (as indicated by the arrows). The
spectra start from the Fe center and end at about 6 Å away. The black dashed line roughly indicates the position where the Kondo resonance is too weak to
see in the dI/dV spectra. Inset: STM image (2.2 nm × 2.2 nm) of the FePc. d–f, same as a–c except taken at B = 9 T. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x The hybridization of dπ orbital with the
neighboring atoms inside the FePc molecule results in a more
extended Kondo resonance distribution at low field; while the dz2
orbital, due to its different symmetry, hybridizes less with the
molecular orbitals, giving rise to the more localized spatial
distribution of Kondo resonance at high magnetic field. The
change
of
orbital
characteristics
results
from
the
reorientation of the Fe magnetic moment induced by the applied
magnetic field. This reorientation changes the orbital character
through spin–orbit interaction29. The applied magnetic field flips
the magnetic moment of Fe from the in-plane to the out-of-plane
direction when the Zeeman energy is larger than the magnetic
anisotropy energy. Thus, due to the spin–orbit interaction, the
reorientation of the magnetic moment changes the mixing of 3 3 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x –6
–4
–2
0
2
4
6
–100
–80
–60
–40
–20
0
20
0
2
4
6
8
10
–100
–80
–60
–40
–20
0
TAMR (%)
TAMR (%)
–100
–50
0
50
100
150
200
PDOS (a.u.)
E−EF (meV)
b
B = 11 T
PDOS (a.u.)
B = 0 T
a
c
dz2
d
dxy
d
Sample bias (mV)
Magnetic field B (T)
e
f
Fig. 4 Controlling the tunneling anisotropic magnetoresistance (TAMR). a and b Calculated lm-decomposed partial density of states (PDOS) of the dxy, dπ,
and dz2 bands of the Fe atom with a magnetization vector in the plane of the molecule a and in the direction of the applied magnetic field, perpendicular to
the plane of the molecule b. The insets show the direction of the magnetic moment schematically. The energy is given with respect to EF. Black lines
represent the energy of the molecular orbital closest to EF. c and d Band-decomposed charge density plots for the molecular orbitals close to EF, showing
the similar spatial distribution of the Kondo resonance as in Fig. 3a, d. We note that the orbital density on the C atoms in c is unlikely to have a significant
overlap with the substrate and thus will not contribute significantly to the signals in the dI/dV maps. e TAMR values at different bias voltages calculated
from the dI/dV spectra taken on the Fe center at B = 0 and 11 T. f TAMR values at different magnetic field calculated from the dI/dV spectra taken on the
Fe center at the bias voltage of −1.06 mV. a.u. arbitrary units –100
–50
0
50
100
150
200
PDOS (a.u.)
E−EF (meV)
b
B = 11 T
PDOS (a.u.)
B = 0 T
a
c
dz2
d
dxy
d a c PDOS (a.u.) b d d 0
2
4
6
8
10
–100
–80
–60
–40
–20
0
TAMR (%)
Magnetic field B (T)
f –6
–4
–2
0
2
4
6
–100
–80
–60
–40
–20
0
20
TAMR (%)
Sample bias (mV)
e e TAMR (%) Fig. 4 Controlling the tunneling anisotropic magnetoresistance (TAMR). NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x a and b Calculated lm-decomposed partial density of states (PDOS) of the dxy, dπ,
and dz2 bands of the Fe atom with a magnetization vector in the plane of the molecule a and in the direction of the applied magnetic field, perpendicular to
the plane of the molecule b. The insets show the direction of the magnetic moment schematically. The energy is given with respect to EF. Black lines
represent the energy of the molecular orbital closest to EF. c and d Band-decomposed charge density plots for the molecular orbitals close to EF, showing
the similar spatial distribution of the Kondo resonance as in Fig. 3a, d. We note that the orbital density on the C atoms in c is unlikely to have a significant
overlap with the substrate and thus will not contribute significantly to the signals in the dI/dV maps. e TAMR values at different bias voltages calculated
from the dI/dV spectra taken on the Fe center at B = 0 and 11 T. f TAMR values at different magnetic field calculated from the dI/dV spectra taken on the
Fe center at the bias voltage of −1.06 mV. a.u. arbitrary units In conclusion, we have demonstrated that the pathway of single
electrons through the orbitals of a magnetic molecule can be
tuned at a very low energy by varying the external magnetic field. This unique tunability originates from the reorientation of the
magnetic moment on the metal center, which alters the electron
distribution in the d orbitals. While at zero field the electron
density scattered through the Kondo resonance will be exclusively
at the dπ orbital, it will pass through the dz2 orbital at high field,
and a varying part of the density will pass through both orbitals in
the intermediate regime. Note that a local control of the spin
reorientation could in principle be achieved by using the mag-
netic field from a spin-polarized STM tip42. Our work shows that
the multi-orbital nature and the spin–orbit coupling can be
employed to control the single-electron process in a single-
molecule device at sub-meV energies. Discussion
T
d To demonstrate the generality of tuning the tunneling pathway
with magnetic fields, we also studied the Kondo effect of an Fe-
porphyrin derivative on Au(111). The Kondo resonance there
shows similar dip-to-peak transitions with magnetic fields (Sup-
plementary Fig. 6d). We expect the behavior of the magnetic
moment to be replicated in the Fe-porphyrin derivative. The dI/
dV mapping of the Kondo resonance exhibits a similar transition
from an extended distribution to a more concentrated distribu-
tion (Supplementary Fig. 6e–h). We can treat the electron tunneling through the FePc molecule
as single-electron transport. The time lag from one electron to the
next through the molecule is in the range of nanoseconds (cor-
responding to a tunneling current of nanoamperes), but other
processes at the atomic scale occur at a much faster time scale. The fastest processes, electronic relaxations, typically occur within
femtoseconds. The dynamics of the atomic cores, manifested by
phonons and vibrations, are within the picosecond range, with
relaxation times such that they typically do not exceed a few
hundred picoseconds. The transport phenomena in the STM
junction are thus too slow for vibrations or electronic relaxations
to influence electron transport. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x 4f), the
TAMR effect (with respect to the in-plane magnetization at
zero field) increases monotonically with the magnetic field near
zero bias. We fit the Kondo resonances at different magnetic field with a
Fano function (Supplementary Fig. 4)21. The fitting shows that
the Fano asymmetry factor q drops suddenly from positive to
negative values across the transition magnetic field (4 T),
corresponding to the dip-to-peak spectral transition. The line
width of the Kondo resonance increases with magnetic field above
6 T due to Zeeman splitting27,32. This sudden change in the
spectral feature—going from a configuration in which it is
unaffected by Zeeman splitting into a configuration in which
Zeeman splitting is measured—supports the argument that the NATURE COMMUNICATIONS | (2019) 10:3599 | https://doi.org/10.1038/s41467-019-11587-x | www.nature.com/naturecommunications 4 4 ARTICLE References Efficiency of ab-initio total energy calculations for
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voltages are referred to the sample. dI/dV spectra were measured using a lock-in TURE COMMUNICATIONS | (2019) 10:3599 | https://doi.org/10.1038/s41467-019-11587-x | www.nature.com/naturecommunications 5 Data availability The data that support the findings of this study are available from the corresponding
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reprintsandpermissions/ 55. Wang, Y., Li, X., Zheng, X. & Yang, J. Spin switch in iron phthalocyanine
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(2017). Peer review information: Nature Communications thanks the anonymous reviewers for
their contribution to the peer review of this work. Peer reviewer reports are available. Acknowledgements Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations. Work at IOP was supported by the Strategic Priority Research Program of Chinese
Academy of Sciences (XDB30000000), the International Partnership Program of Chinese
Academy of Sciences (112111KYSB20160061), National Key Research and Development
Projects of China (2016YFA0202300, 2017YFA0302900), and the National Natural Sci-
ence Foundation of China (61888102). W.A.H. acknowledges support for the North East
Centre for Energy Materials, EPSRC Grant EP/R021503/1. This research made use of the
Rocket High Performance Computing service at Newcastle University. Open Access This article is licensed under a Creative Commons
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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/. Author contributions K.Y., H.C., L.W.L., D.F.W., W.D.X., and X.M.F. performed STM measurements. T.P.,
Y.H., L.T., Y.-Y.Z., H.-G.L., S.X.D., T.X., and W.A.H. carried out theoretical calculations. K.Y., H.C., T.P., Y.H., W.D.X., S.X.D., W.A.H., and H.-J.G. analyzed the data and wrote
the manuscript. H.-J.G. designed and coordinated the project. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-11587-x Competing interests: The authors declare no competing interests. 54. Wang, Y., Zheng, X. & Yang, J. Environment-modulated Kondo phenomena
in FePc/Au(111) adsorption systems. Phys. Rev. B 93, 125114 (2016). Reprints and permission information is available online at http://npg.nature.com/
reprintsandpermissions/ References Electron-energy-loss spectra and the structural
stability of nickel oxide: an LSDA+U study. Phys. Rev. B 57, 1505–1509
(1998). 22. Komeda, T. et al. Observation and electric current control of a local spin in a
single-molecule magnet. Nat. Commun. 2, 217 (2011). 23. Krull, C., Robles, R., Mugarza, A. & Gambardella, P. Site- and orbital-
dependent charge donation and spin manipulation in electron-doped metal
phthalocyanines. Nat. Mater. 12, 337–343 (2013). 53. Gottfried, J. M. Surface chemistry of porphyrins and phthalocyanines. Surf. Sci. Rep. 70, 259–379 (2015). 6 NATURE COMMUNICATIONS | (2019) 10:3599 | https://doi.org/10.1038/s41467-019-11587-x | www.nature.com/naturecommunicatio ARTICLE Additional information Supplementary Information accompanies this paper at https://doi.org/10.1038/s41467-
019-11587-x. Supplementary Information accompanies this paper at https://doi.org/10.1038/s41467-
019-11587-x. © The Author(s) 2019 7 NATURE COMMUNICATIONS | (2019) 10:3599 | https://doi.org/10.1038/s41467-019-11587-x | www.nature.com/naturecommunications
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Political Participation of Local Publics in the Unemployment Field: A Comparison of Lyon and Turin
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Social movement studies
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public-domain
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1 In Italy the right gained control of the government in 2001. The ephemeral return of the left to power
between 2006 and 2008 had no major consequence, particularly in terms of unemployment policy. In Political Participation of Local Publics in the Unemployment
Field: A Comparison of Lyon and Turin Matteo Bassoli* & Manlio Cinalli** Matteo Bassoli* & Manlio Cinalli** Matteo Bassoli* & Manlio Cinalli** * School of law, eCampus Online University, Novedrate (CO), Italy. **CEVIPOF, SciencesPo, Paris, France * School of law, eCampus Online University, Novedrate (CO), Italy. **CEVIPOF, SciencesPo, Paris, France Abstract: This article focuses on political participation of local publics in the
unemployment field, examining networks of collective actors in Lyon and Turin. Our
main question is: Is the participation of local publics fostered under conditions of
more developed governance that increases bottom-up access (formal or informal) to
elites and institutions in the policy domain? Drawing upon the most recent
developments in literatures on social movement theory, governance, and network
analysis, this article discusses the main variations in terms of political participation of
local publics in Lyon and Turin. It then enquires into the main explanatory factors
accounting for these variations, thus showing that the openness of governance does
influence the level of political participation of local publics. The main argument is
that in an open context participation is low, while in a closed (or underdeveloped)
context local publics participate more, with differential access to decision-making
according to their resources. Keywords: Local governance, Social networks, Local publics, Unemployment,
Multi-organisational field 1. Introduction Unemployment has emerged in the last decades as one of most compelling issues in
Europe. Eurostat data show increasing unemployment rates, particularly for the
younger cohorts of populations (Eurostat 2011). The European Commission has
provided funds to implement relevant measures through Structural Funds, promoting
policy interventions that are flexible enough to allow for distinct national answers and
participation of the largest possible number of private and public stakeholders. For
example, in the aftermath of economic recession of late 2000s, both the European
Commission and the Council of Europe have focused on the inclusion of the
unemployed through interventions such as the ‘Agenda 2020’, providing a
comprehensive policy effort that is cross-sectorial and highly articulated. Within
Europe, however, unemployment has been more significant in some places than in
others. In what follows, we compare two cities, Lyon and Turin, which are located in
two European countries with traditionally high rates of unemployment. Whether
referring to ‘precarious’ workers, the ‘excluded’, or to more colourful expressions
such as the Italian ‘cococo’, unemployment and precariousness have stood out in
France and Italy as the objects of political intervention throughout the 2000s. In
addition, both countries share a number of common political dynamics, such as the
predominance of right-wing politics at a general level,1 a slow yet consistent attempt 1 to increase the flexibility of labour market access, and a focus on redistribution of job
opportunities in public rhetoric. This article uses a network approach to deal with the interplay of organisational
attributes, on the one hand, and multi-level opportunity structures on the other hand. The main aim is to account for variations of political participation across a large range
of organisations that engage in the unemployment field. In particular, our argument
promotes the use of the relational approach already used in social movement
scholarship (Diani 1992 and 1995; Gould 1995; Diani and McAdam 2003; Diani and
Bison 2004), but with a different emphasis derived from literature on governance
(Cinalli 2007a; Christopoulos 2008; Christopoulos and Quaglia 2009; Feiock and
Scholz 2010; Sohn and Giffinger 2015). Instead of using networks to understand the
nature of social movements, the governance literature has used relational data to
examine the different levels of actors’ involvement in the political sphere. Scholars
have also focused on informal groups, associations, cooperatives and unions (Piselli
and Ramella 2008), providing the possibility of testing different theories of political
participation (resource-based or social capital related). France the 2000s opened with the “cohabitation” between a right-wing President and a left-wing Prime
Minister. But 2002 marked the definitive defeat of the left, as it lost both control of government and its
majority in Parliament. 1. Introduction That is, attention needs to be focused on the key role of the political
environment in which participation of local publics in Lyon and Turin takes place,
following those scholars who argue that the consideration of joblessness as a simple
grievance is insufficient to explain political developments and the debate in the
unemployment field (Baglioni et al. 2008; Baxandall 2001 and 2002). Our comparison looks at the role of ‘political opportunities’ (Tilly 1978, Kitschelt
1986, Kriesi et al. 1995 Tarrow 1998) and ‘welfare regimes’ (Giugni et al. 2009,
Cinalli and Giugni 2010) to account for variations of political participation in the
unemployment multi-organisational field. In particular, the specific focus on local
publics in Lyon and Turin draws upon a number of studies that, since the seminal
work of Eisinger (1973), have emphasised the explanatory role of the sub-national
contextual environment, while taking into consideration the complex dynamics
linking the public to the policy domain on the one hand (Broadbent 1998) and local to
national opportunities on the other (Cinalli and El Hariri 2011; Della Porta and
Andretta 2002). Our consideration of the more unstable aspects of the political
context (Gamson and Meyer 1996) also aims to link the analysis of ‘opportunities’ to
that of ‘governance’. For the latter, we can thus move from a simplistic approach
based on distinct sectors (public, private for profit and non-profit) to a more nuanced
version based on the concept of (local) governance (Bassoli and Polizzi 2011, Grote
2008, John 2001, Mayntz 2003). We thus follow studies that have dealt with the
important role of the local level in policymaking (Harlow and Rawlings 2006, Jordan
2001), focusing on private-public partnership (Osborne 2007), multi-sectorial
partnership (Sullivan and Skelcher 2002), and participatory governance arrangements
(Bassoli 2010 and 2012; Grote and Gbikpi 2002), such as participatory budgeting. Amongst our dimensions of analysis, we consider how much genuine access private
actors have to local policy making, above all in the crucial phase of decision making,
but also during discussion and implementation phases (Polizzi 2011). The existence of political opportunities rooted in local governance cannot be
considered the only determinant of participation. Following the long-standing
tradition of Resource Mobilization Theory (Obershall 1973, McCarthy and Zald
1977), many studies have shown the importance of budgets, organisational assets, and
increasing resource dependence on broader civil society (Giugni and Passy 2001). 1. Introduction Our approach thus offers the
possibility to engage in full with the analysis of a whole ‘multi-organisational field’
(Curtis and Zurcher 1973), allowing for a systematic assessment of political
participation within formal and informal decision-making processes. Hence, ‘local publics’, which are understood as made up of all organisations that are
active in the local public domain, can be placed at the core of a number of questions. What is the relationship between different political contexts and variations in
participation of local publics in the unemployment field? What is the space for direct
intervention of local publics in governance processes related to unemployment across
the two cities of Lyon and Turin? And beyond the role of political opportunities, what
is the role of endogenous attributes in predicting the political participation of various
actors? Are variations in participation dependent upon activities, for example, the
‘policy’ or the ‘services’ orientation that different actors may privilege respectively? And what about the specific role of social capital? The following section clarifies our theoretical framework in terms of main dependent
and independent variables. Afterwards, the article moves on to present relevant
contextual information enabling the comparison between Lyon and Turin (section 3). We then proceed in section 4 to identify and measure political participation as a
dependent variable. Section 5 examines the relationship between participation and a
range of independent variables at the level of collective actors (resources and
orientations) and networks in the unemployment field (governance opportunities and
relational structures). Finally, section 6 sums up the empirical findings and indicates
directions for future research. 2. Political Context, Governance and Endogenous Characteristics
Unemployment has stood out as a crucial issue in Europe, leading to demands for
‘reforms’ of the labour market, social policy, and unemployment regulations. A brief 2 consideration of these reforms in France and Italy confirms a common trend, with the
promotion of a secondary labour market (Jessoula et al. 2010) consisting of mini-jobs
and short-term contracts, and the elaboration of restrictive measures to pressure the
long-term unemployed into accepting available jobs. The organisations that are active
in the unemployment field have thus faced a number of common pressures. Yet it
should be emphasised that labour market mechanisms, social protection systems, and
social services have remained specific to each distinct nation-state (Cinalli and Giugni
2010). 1. Introduction On the other hand, we examine the
roles of a number of additional variables that may account for variations of
participation. methodological tools for examining the multi-level and multi-organisational field of
unemployment.2 Drawing on previous research that has put the study of relational
structures at the core of unemployment politics (Cinalli 2010; Cinalli and Fuglister
2008), our networks are primarily made of collective actors (nodes) connected by
three main directed relationships (ties): exchange of information, cooperation in
projects, and overlapping members. The field is thus defined in terms of a set of
(potentially) reciprocal interactions that represent the possibility of accessing specific
resources and additionally behavioural constraints or loyalties that constrain
organisations (Cinalli 2007b). For the purpose of the following analysis we also
consider administrative level as a node within a ‘two-mode network’. Each collective
actor may be active at (i.e. connected to) the district, local, national, regional or EU
level. We generated several two-mode networks depending on the nature of the
relationships represented by network ties and report network densities below. The
construction of matrices of connections among collective actors, and between actors
and administrative levels also allows graphical representation as in Figures 4.1, 4.2
and 5.1. To deepen our analysis further we also consider the different attributes that
our collective actors have (e.g. size or budget), which allows the investigation of
correlations between attributes (i.e. variables) and network outcomes through a
procedure detailed in section 5 below. On the one hand, therefore, the analysis below
assesses the extent to which political participation of local publics in the two cities
translates into specific network patterns between local publics and policy actors. These networks are also linked with the concept of social capital (Lin 2001), which is
most often understood to increase the organisation's chance of being politically active,
given the its number of connections possessed. On the other hand, we examine the
roles of a number of additional variables that may account for variations of
participation. Overall, relevant questions for the comparison of local publics in Lyon and Turin are
given a relational twist. What are the channels being forged in the two cities across
the public and the policy domain at the local level and at the other levels beyond that? Does unemployment stand out as an issue that divides certain types of actors from
others? 3 For an overview of broader debate about network analysis and governance see Christopoulos 2008,
Dowding 1995, 2001, Marsh and Smith 2001, Marshall and Staehel 2015, and Raab 2001. 2 For a treatment of network analysis see Knoke and Kuklinsky 1982, Scott 2000, and Wasserman and
Faust 1994. 1. Introduction Or, alternatively, do actors of different types forge extensive ties, reducing the
traditional distance between them? Different governance dynamics can be
disentangled in the multi-level and multi-organisational unemployment field,
shedding light on the variety of actors in the public domain and their variable access
to the policy domain across different levels (Feiock and Scholz 2010). In doing this,
the article further advances the network conceptualisation of governance (Cinalli
2007a; Rhodes 1996 and 1997), responding to the pressing need to use networks as an
effective instrument of empirical analysis, rather than as a simple heuristic device
(Christopoluos 2008).3 2 For a treatment of network analysis see Knoke and Kuklinsky 1982, Scott 2000, and Wasserman and
Faust 1994.
3 For an overview of broader debate about network analysis and governance see Christopoulos 2008,
Dowding 1995, 2001, Marsh and Smith 2001, Marshall and Staehel 2015, and Raab 2001. 1. Introduction Accordingly, this article deals with a number of endogenous characteristics that may
have an impact on variations in participation of local publics in Lyon and Turin. In
particular, we focus on organisational structuring of local publics, how long different
organisations have been active in the unemployment field, their degree of
formalisation, their ownership of relevant assets such as an office space, as well as the
main orientations of actors, identified in their prevailing engagement in policies or,
alternatively, services (Lelieveldt et al. 2007, Torpe and Ferrer-Fons 2007). In what follows network analysis is used to provide key conceptual and 3 Deleted: 2 –
Deleted: methodological tools for examining the multi-level and multi-organisational field of
unemployment.2 Drawing on previous research that has put the study of relational
structures at the core of unemployment politics (Cinalli 2010; Cinalli and Fuglister
2008), our networks are primarily made of collective actors (nodes) connected by
three main directed relationships (ties): exchange of information, cooperation in
projects, and overlapping members. The field is thus defined in terms of a set of
(potentially) reciprocal interactions that represent the possibility of accessing specific
resources and additionally behavioural constraints or loyalties that constrain
organisations (Cinalli 2007b). For the purpose of the following analysis we also
consider administrative level as a node within a ‘two-mode network’. Each collective
actor may be active at (i.e. connected to) the district, local, national, regional or EU
level. We generated several two-mode networks depending on the nature of the
relationships represented by network ties and report network densities below. The
construction of matrices of connections among collective actors, and between actors
and administrative levels also allows graphical representation as in Figures 4.1, 4.2
and 5.1. To deepen our analysis further we also consider the different attributes that
our collective actors have (e.g. size or budget), which allows the investigation of
correlations between attributes (i.e. variables) and network outcomes through a
procedure detailed in section 5 below. On the one hand, therefore, the analysis below
assesses the extent to which political participation of local publics in the two cities
translates into specific network patterns between local publics and policy actors. These networks are also linked with the concept of social capital (Lin 2001), which is
most often understood to increase the organisation's chance of being politically active,
given the its number of connections possessed. Comparing the Unemployment Field in Lyon and Turin Having experienced a similar situation of unemployment grievance over the past few
years, with peaks in their regions at 9% (INSEE 2011; ISTAT 2011), Lyon and Turin
are comparable on the basis of additional key indicators such as economic size,
economic structure, and type of unemployment (level of de-industrialisation). At the 4 same time, Lyon and Turin are two major non-capital cities in countries that have
gone through a genuine policy of decentralization. In France this process has been
sanctioned by the Constitutional Law of March 28, 2003, acknowledging explicitly
the role of sub-national authorities. As regards Italy, the Constitutional Law 3/2001
has provided further policy responsibilities to local authorities. The cities also share a
number of common political characteristics. Electoral systems in both cities are
predominantly majoritarian. In line with the tradition of French Presidentialism, Lyon
is characterised by the dominant role of the mayor, but Turin has equally seen the
gradual strengthening of the local executive following the law 81/1993 (Fabbrini,
2001). The leftist governments in Lyon and Turin are in opposition to the rightist
French and Italian national governments respectively. And both cities lack effective
direct democracy tools.4 However, the two cities have been facing contrasting policy developments, allowing
for the analysis of different answers that policy makers have elaborated at the national
and sub-national levels. The welfare literature shows crucial divergences between the
French and the Italian model, in spite of their common roots in ‘corporatism’ (Esping-
Andersen 1990). In Italy, a key role has been handed over to the family as a crucial
agent of social protection (Ferrera 1996), while France has preferred to intervene
extensively over welfare in an attempt to reach a virtuous balance between corporatist
and universalist prescriptions. Although both countries have engaged in a number of
reforms that have targeted the labour market to relax employment protections (OECD
2010), specific policies dealing with unemployment and social inclusion have been
developed more extensively in France than in Italy. In particular, the two countries
diverge when looking at various indicators of state intervention in terms of
unemployment regulations – for example, the pre-requisites for obtaining social
provisions, the level and extension of benefit coverage, the role of employment
agencies, and the scope of sanctions (Giugni et al. 2009; Cinalli and Giugni 2010). 4 Local statute in Turin allows only consultative referenda, though they can be proposed by citizens. In
Lyon ‘decisional referenda’ have been instituted in 2003, yet, they need to be initiated by local
authorities. Comparing the Unemployment Field in Lyon and Turin In
this context, Italy exhibits a less inclusive unemployment legislation, in which a high
share of the workforce has low social protection (Jessoula et al. 2010). The French unemployment protection system can rely not only on the corporatist
legacies such as the régime d’assurance (financed and managed by the trades unions
and entrepreneurial associations), but also on the universalist régime de solidarité
(financed and managed by the state). By contrast, unemployment provisions and
social protection are very limited in Italy, especially for the recent wave of precarious
youth, who could join the labour force only as ‘atypical’ workers. What is more,
evidence at the local level shows that the municipality of Turin is less active in
unemployment policies than its counterpart in Lyon, which in fact supports an
increasing number of projects for job creation. The 'right to experiment', whereby
local authorities can diverge from national arrangements, provides the Lyon
municipality with further space of intervention in terms of social and economic
policy. Differences are also noticeable in terms of public information and support
services. Employment offices have been set up in Turin (the Centri per l'impiego), but
public information and services are still limited. By contrast, the Maison de l’Emploi
et de la Formation in Lyon provides information for the unemployed, helps 5 employers with recruitment, and gathers a large volume of economic and social data. The local level is also important by virtue of the large volume of actors that it
involves in service delivery or policy implementation. Hence, the comparison of Lyon
and Turin allows for dealing with key explanatory variables at the local level relating
to various organisational resources and the networks created by actors. No doubt, the
two cities differ in terms of inclusion of local publics within the policy domain. Lyon
has inclusive governance dynamics that are supposed to promote a wider access of
local publics to the policy domain. For example, the action of the Maison de l’Emploi
et de la Formation has been shaped on the objectives of the 2005 loi de
programmation pour la cohésion sociale with the main aim of ensuring a stronger
partnership of actors in the public sector alongside representatives of civil society. By
contrast, Turin stands out for its restrictive stance in terms of governance
arrangements owing to the marginal participation of public domain actors in the
policy process. 5 For example vocational training is coordinated by the Piedmont Region, and the centri per l'impiego
are managed by the Province. Comparing the Unemployment Field in Lyon and Turin While relevant competences are often located beyond the scope of the
municipality,5 the vast externalisation to private actors at the local level has brought
about a clear shift of responsibility from public to private actors in the delivery of
social services (Ranci 1999; Ranci and Montagnini 2009). Two actors play a pivotal
role in the Italian labour market: the agenzie interinali (recruitment agencies) and the
sistema cooperativo (cooperative system). The latter has been regulated by the
national law so as to promote employability of young people and of the long-term
unemployed. As regards the agenzie interinali, they are private enterprises that take
care of ‘temping’, dealing with different administrative procedures related to fixed-
term contracts or jobs on demand. 7 Therefore we move far from the SNA approach to social movements (Diani and Bison 2004),
considering SMO only those informal groups that are part of a social movement, although at some
point actors could be in a “social movement process” (ibid. 283). While performing the fieldwork there
was not a clear social movement related to either unemployment or precariousness.
8 “In the last 2 years, has your organisation been called to participate in decision-making processes in
any of the following ways? [Interviewer: Only when interviewee mentions one, ask] Did your
organisation finally participate?”
9 Since there are four possible roles in the policy-making process, two matrices were created: a 19 by 4
(Lyon) and a 26 by 4 (Turin). 6 The political parties are not considered here because they could not be formally invited to policy-
making, while, at the same time, they had a privileged and informal access to the political arena.
Further information on the sampling strategies and local networks can be found in Bassoli and Cinalli
(2014). 4. Local Publics in Lyon and Turin
O
h i b
d
56 i
i Without presenting the organisational ecology in
detail (see Bassoli and Cinalli 2014), it is important to stress that the two cities differ
with respect to the organisations interviewed and the results of the mapping process. The organisational fields are different not only in terms of numbers (19 in Lyon and
26 in Turin) but also in terms of degree of heterogeneity. While Turin stands out as
having a highly heterogeneous field, which is made of antagonistic actors (such as
social movements and spontaneous committees), pivotal actors for social stability
(such as trade unions), and strategic partners to deliver public policies (such as
cooperatives and training schools), Lyon is characterised by a much higher
homogeneity and a remarkably large number of formal associations, with no presence
of spontaneous groups of any kind. 4. Local Publics in Lyon and Turin
O
h i b
d
56 i
i 8 “In the last 2 years, has your organisation been called to participate in decision-making processes in
any of the following ways? [Interviewer: Only when interviewee mentions one, ask] Did your
organisation finally participate?”
9 Since there are four possible roles in the policy-making process, two matrices were created: a 19 by 4
(Lyon) and a 26 by 4 (Turin). Deleted: Baglioni and Giugni
Deleted: 36
Deleted: 50
Deleted: (Figure 4.1 about here)
Deleted: informal access Deleted: Baglioni and Giugni
Deleted: 36
Deleted: 50
Deleted: (Figure 4.1 about here) Deleted: Baglioni and Giugni
Deleted: 36
Deleted: 50
Deleted: (Figure 4.1 about here) (SMOs), religious organisations (ROs), trade unions (TUs) and political parties (PPs,
beyond the scope of this article).6 Actors were defined by their legal status (CSOs,
PPs and TUs), by their close connection with a religious institution (ROs, either
formally dependent or not), and by the absence of a clear legal status coupled with an
engagement in contentious politics (SMO).7 Other actors such as cooperatives and
foundations were also included. Without presenting the organisational ecology in
detail (see Bassoli and Cinalli 2014), it is important to stress that the two cities differ
with respect to the organisations interviewed and the results of the mapping process. The organisational fields are different not only in terms of numbers (19 in Lyon and
26 in Turin) but also in terms of degree of heterogeneity. While Turin stands out as
having a highly heterogeneous field, which is made of antagonistic actors (such as
social movements and spontaneous committees), pivotal actors for social stability
(such as trade unions), and strategic partners to deliver public policies (such as
cooperatives and training schools), Lyon is characterised by a much higher
homogeneity and a remarkably large number of formal associations, with no presence
of spontaneous groups of any kind. (SMOs), religious organisations (ROs), trade unions (TUs) and political parties (PPs,
beyond the scope of this article).6 Actors were defined by their legal status (CSOs,
PPs and TUs), by their close connection with a religious institution (ROs, either
formally dependent or not), and by the absence of a clear legal status coupled with an
engagement in contentious politics (SMO).7 Other actors such as cooperatives and
foundations were also included. 9 Since there are four possible roles in the policy-making process, two matrices were created: a 19 by 4
(Lyon) and a 26 by 4 (Turin). (Table 4.1 about here) Deleted: (Figure 4.1 about here) Deleted: (Figure 4.1 about here) Deleted: informal access 4. Local Publics in Lyon and Turin
O
h i b
d
56 i
i 4. Local Publics in Lyon and Turin
Our research is based on 56 interviews with various civil society organisations, trade
unions and unemployed groups that engage in the unemployment field in Lyon and
Turin. The interview schedule was specifically designed to include not only
qualitative in-depth questions, but also sets of standardised questions inquiring into
political activities, inter-organisational networks spanning the public and the policy
domain, as well as information about actors’ organisational structure and resources. Selection of actors started with the systematic examination of official lists of
organisations active in Lyon and Turin. Since this effort could only target certain
types of actors, the selection was completed through examination of practitioners’
publications, access to online sources (blogs of precarious groups, alternative
information portals, etc.) and, in particular, through indications coming from actors
themselves. At the same time, a wide range of secondary sources, such as
organisations’ publications, press articles, and official documents from political and
institutional authorities, was used to deepen the analysis of further contextual
dimensions. 4.1 The organisational ecology g
gy
A first look at types of actors that are present in the unemployment field shows that
Lyon and Turin have very distinct local publics. According to the sample criteria, the
study included civil society organisations (CSOs), social movement organisations 6 (SMOs), religious organisations (ROs), trade unions (TUs) and political parties (PPs,
beyond the scope of this article).6 Actors were defined by their legal status (CSOs,
PPs and TUs), by their close connection with a religious institution (ROs, either
formally dependent or not), and by the absence of a clear legal status coupled with an
engagement in contentious politics (SMO).7 Other actors such as cooperatives and
foundations were also included. Without presenting the organisational ecology in
detail (see Bassoli and Cinalli 2014), it is important to stress that the two cities differ
with respect to the organisations interviewed and the results of the mapping process. The organisational fields are different not only in terms of numbers (19 in Lyon and
26 in Turin) but also in terms of degree of heterogeneity. 4. Local Publics in Lyon and Turin
O
h i b
d
56 i
i While Turin stands out as
having a highly heterogeneous field, which is made of antagonistic actors (such as
social movements and spontaneous committees), pivotal actors for social stability
(such as trade unions), and strategic partners to deliver public policies (such as
cooperatives and training schools), Lyon is characterised by a much higher
homogeneity and a remarkably large number of formal associations, with no presence
of spontaneous groups of any kind. (Table 4.1 about here)
4.2 The political involvement of local publics
Our findings also show major differences in terms of political involvement of local
publics in the two cities. The ‘two-mode approach’ to relational data (David et al. 1941; Everett 2005) can be deployed to evaluate whether civil society actors have
been called to participate in decision-making processes as well as the extent to which
they have in fact participated.8 As already stated, data are directed: for example, they
assess whether actors have participated in public decision making, with ties being
coded between two sets of nodes – actors and specific administrative levels– and
moving from the first to the second. The first finding is that all actors who were called
to participate in the local policy process eventually did participate. In particular, four
possible roles as participants can be identified: “permanent member of the district or
neighbourhood council”, “permanent member of a municipal council on specific
issues (social services, women, education, etc.)”, “occasional member in a municipal
committee to solve a specific problem” and “member of a municipal consultation
committee or group for a specific policy or issue”.9 Actors could also be invited to
participate at other levels. This question, however, was open-ended, and it was later
6 The political parties are not considered here because they could not be formally invited to policy-
making, while, at the same time, they had a privileged and informal access to the political arena. Further information on the sampling strategies and local networks can be found in Bassoli and Cinalli
(2014). 7 Therefore we move far from the SNA approach to social movements (Diani and Bison 2004),
considering SMO only those informal groups that are part of a social movement, although at some
point actors could be in a “social movement process” (ibid. 283). While performing the fieldwork there
was not a clear social movement related to either unemployment or precariousness. 4.2 The political involvement of local publics 4.2 The political involvement of local publics Our findings also show major differences in terms of political involvement of local
publics in the two cities. The ‘two-mode approach’ to relational data (David et al. 1941; Everett 2005) can be deployed to evaluate whether civil society actors have
been called to participate in decision-making processes as well as the extent to which
they have in fact participated.8 As already stated, data are directed: for example, they
assess whether actors have participated in public decision making, with ties being
coded between two sets of nodes – actors and specific administrative levels– and
moving from the first to the second. The first finding is that all actors who were called
to participate in the local policy process eventually did participate. In particular, four
possible roles as participants can be identified: “permanent member of the district or
neighbourhood council”, “permanent member of a municipal council on specific
issues (social services, women, education, etc.)”, “occasional member in a municipal
committee to solve a specific problem” and “member of a municipal consultation
committee or group for a specific policy or issue”.9 Actors could also be invited to
participate at other levels. This question, however, was open-ended, and it was later 6 The political parties are not considered here because they could not be formally invited to policy-
making, while, at the same time, they had a privileged and informal access to the political arena. Further information on the sampling strategies and local networks can be found in Bassoli and Cinalli
(2014) Deleted: informal access 7 recoded according to five different levels: other local, provincial, regional, national
and European.10 A synthetic representation of the four main political networks can be offered through
measures of ‘density’ (Wasserman and Faust 1994: 181), which gives the percentage
of existing ties out of possible ties. Accordingly, data clearly suggest key differences
between Lyon and Turin. As regards political participation at any level, actors in the
public domain participate more in Turin (0.22) than in Lyon (0.18). The same holds
true for the local level. Yet, while in Turin at the figure is higher for the local level
(0.25), for Lyon it is lower (0.13). Thus, the gap between the two cities at the local
level is almost three times higher than the gap measured by the general involvement. 10 In this case, we created two other matrices of 19 by 5 (Lyon) and 26 by 5 (Turin).
11 The distinction between policy oriented organisations and service oriented organisations is crucial in
the third sector. The former target the political system – they try to influence it, or they directly take
part in the policy process – whereas the latter rather focus on their clients. These categories are not
easily respected empirically, as organizations can do both type of actions simultaneously although
usually one of these activities prevails over the other.
12 The measure of centrality is given by the total amount of ties considering the number of nodes,
therefore the higher level of centrality in Turin is mirrored by an increased amount of ties (per node) in
the figure. 4.2 The political involvement of local publics Overall, the case of Lyon shows that a low degree of political participation, especially
at the local level, may well follow a more developed process of (formalised)
governance. This result is somewhat counter-intuitive since an inclusive political
process is expected to encourage political participation overall, in spite of the
decreasing recourse to more radical forms of political mobilisation. By contrast, data
for Turin, which is characterised by a more restrictive participatory context, show that
local publics participate extensively (the density is much higher than Lyon),
especially at the local level. Deleted: 2 Figure 4.1 represents the network of participation in formal decision making at any
administrative level. The presence of a tie between two nodes (actor ‘A’ and level
‘X’) means that that actor (A) participates at the decision-making process at that level
(X). Acronyms indicate the legal form: ‘A’ stands for associations, ‘S’ for informal
groups/social movements, ‘T’ for trade unions and ‘C’ for cooperatives. The size of
each node increases with the the length of time since the actor first entered the
unemployment field. The shape of nodes provides another key piece of information
(Lelieveldt et al. 2007): squares are given to actors involved in service provision and
circles to other actors (mixed or policy-oriented).11 The number of ties in Lyon is
lower than in Turin12; yet, in both cities half of the actors are not active, while the
other half are active at more than one level. Another important distinction can be seen
is the different levels involved: while in Lyon all levels are accessed with the
exception of the EU level, in Turin the national level is also precluded. Deleted: 2
Deleted: 2
Deleted: so the
Deleted: 3
Deleted: 3 10 In this case, we created two other matrices of 19 by 5 (Lyon) and 26 by 5 (Turin). 13 Organisations with a budget lower than 10 thousand euro are represented by a circle (as well as
missing), between 10 and 200 thousand are square, triangle above 200 thousand.
14 The minimum articulation is given by organisations with only an assembly (score 1), while the
higher level is given by those organisations with a board, a leader / president, a chairperson, a
secretary, a spokesperson, a treasurer, a general assembly, and committees (score 8).
15 In the permutation test the standard assumptions on independence and random sampling are not
required.
16 The routine measures the correlation between the dependent variable (degree centrality – that is, the
number of ties each actor has) and the independent variable considered.
17 The first two categories have been considered both mutually exclusive and not, the third is an
independent category.
18 This variable has been measured using network data, considering information received by the local
organisation by given political actors (or levels). (Fig. 4.1 about here) In addition, Figure 4.1 shows that the local level remains the preferred locus for
political participation of local publics in the two cities and so the second step of
analysis thus concerns the formal decision-making mechanism set up at the local level
(Figure 4.2). In order to put forward some of the resource variables used in the
research, in Figure 4.2 nodes have a different shape according to economic In addition, Figure 4.1 shows that the local level remains the preferred locus for
political participation of local publics in the two cities and so the second step of
analysis thus concerns the formal decision-making mechanism set up at the local level
(Figure 4.2). In order to put forward some of the resource variables used in the
research, in Figure 4.2 nodes have a different shape according to economic 8 Deleted: 3 resources13 while size changes proportionally to level of organisational complexity of
the collective actor, referred to here as internal articulation14. In line with the density
figures, the level of participation sharply decreases moving to the local level in Lyon,
while it increases in Turin. Clearly both local networks are characterised by a high
percentage of isolates (63% and 58%). Once again, only a rather small number of
actors in both cities participate; yet active nodes in Turin have forged more extensive
ties than in Lyon. (Fig. 4.2 about here) (Fig. 4.2 about here) Deleted: 3 5. Explaining the political participation of local publics
So how can we account for these differences between Lyon and Turin? Does the fact
that the unemployment field of Turin is formed by spontaneous groups and weak
associations account for the differences in participation? Or should we explain this
outcome with reference to the development of participatory structure? In what
follows, a number of single variables are taken into account, checking them
independently. In this way the analysis does not explain the participation of single
actors using individual variables as predictive factors; rather, it appraises the extent to
which similar actors (grouped according to a given variable) behave similarly. This
can be easily done by the ANOVA routine in UCINET (Borgatti et al. 2002). 19 “Regardless of whether you ever get invitations to participate in decision-making processes, does
your organisation receive official information concerning the decision-making processes on questions
relevant for your organisation from any of these authorities?” This question produced (again) two
matrices of 19 by 5 (for Lyon) and 26 by 5 (for Turin). (Tab. 5.1 about here) Generally speaking, participation in Lyon seems randomly distributed. As regards
participation at all levels, only one variable is not evenly shared among the actors (the
diffusion of advocacy services), while for local participation a single variable seems
relevant (the distribution of part-time workers). Hence, data suggest that the political
context in Lyon may well overcome individual limitations of resources. By contrast,
scarce political opportunities and thinner processes of governance in the case of Turin
allow for participation of only some specific actors, namely, the older, more formally
structured, richer organisations with the capacity for running public-programmes, as
well as those that devote themselves the most to service-provision for internal
members. Further differences emerge when we consider the openness of the political system
more specifically. A crude indicator of openness is represented by the different
magnitude of flow of information received by organisations. Data were gathered on
whether the organisation had been receiving information from any specific level of
government (European, national, regional, local or district)19. In this case, the density
of the French information network is much higher compared to the Italian network,
that is, 0.495 against 0.231. This means that, out of all possible connections, 49.5% of
them have been forged in the unemployment field in Lyon, but only 23.1% have been
forged in Turin. Since some levels of government beyond the local may be crucial in
one city but irrelevant in the other (for example, the national level that is so
quintessential under the long-standing tradition of French Republicanism), the local
flow of information has also been singled out. In this case, figures are much more
similar for the two cities, with 0.342 for Lyon and 0.365 for Turin. Nonetheless this
similarity is only apparent, since the network patterns are quite different, as can be
grasped from Figure 5.1. The networks have been graphed so as to group the actors
according to the number of ties that they have forged, and according to the direction
of these ties. (Fig. 4.1 about here) The
routine undertakes an analysis of variance using a permutation to assess if the
independent variable is evenly distributed among the nodes or if it is (significantly)
correlated with the dependent variable.15 That is, the significant variables do not
explain participation according to a ‘causal’ direction, yet they do show whether the
selected variables are unevenly distributed amongst the actors:16 those who participate
have either more of a given variable, or less. While one cannot determine the causal
direction, it is quite logical to assume the impact of resources on the level of
participation rather than vice-versa. The test has been run on a number of variables, many of which are not evenly
distributed. These variables include different kinds of resources (budget, recruited
staff, office ownership), different dimensions of formalisation (level of internal
articulation, being registered), different aims (policy-oriented service-oriented actors,
actors running public programmes),17 as well as different levels of activity (only local,
local and national, only national) and of information inflow (as a proxy of visibility
by the public authorities).18 The significant variables, listed in Table 5.1, reinforce the 9 9 general idea about the open governance structure of Lyon vis-à-vis Turin. Indeed the
role of resources is more important in Turin than in Lyon. Out of all possible
variables, quite a few resources are more abundant across the actors that participate in
the Italian city: the degree of institutionalisation, the possibility of having full-time
workers, the capacity for running public-programmes. Only one variable is crucial in
both contexts, namely the provision of services (with service providers participating
to a greater extent in both cities). Focussing on local participation, the overall picture
does not change. While resources affect the French case (Table 5.1) only via the
employment of part-time workers, the Italian case still shows the higher salience of
resources: length of activity (the older the actor the more it participates), internal
articulation (the more articulated the actor, the more it participates), finances (the
richer the actor the more it participates), and the diversification of service provision
(the actors which diversify the most are also those which participate the most). (Fig. 5.1 about here) 10 As expected, the national level plays a major role in Lyon (with the district being
almost absent), while the Turin network contains more isolates than that for Lyon. Yet
some specifications are necessary given the different organisational ecology of the
two cities. Considering the legal form of organisations in Turin, a strong correlation
can be found with network centrality. Thus the fact of being a social movement
organisation deeply hinders the possibility of having equal access to the policy
domain in terms of 'receiving information' (Table 5.2). Measures have been assessed
through two main variables. The first one is the ‘legal form’, distinguishing between
trades unions, formal organisations and ‘other’ (that is social movements and
cooperatives). The second variable focuses on ‘degree of institutionalisation’, ranking
organisations alongside the distinctions between SMOs (1), associations (2),
cooperatives (3), and trades unions (4). While the first variable works well when
accounting for flows of information at the local level (R square 0.43 at the level of
99%), the second variable performs equally well in terms of the overall picture (R
square 0.42 at the level of 99%). Crucially, the SMOs are isolated, alongside with
some trade unions, while cooperatives, associations and the largest trades unions take
better advantage of the communication channels in Turin. 20 The measure was the out-degree centrality, that is, the number of perceived partners which a given
organisation has.
21 The measure was the in-degree centrality, that is, a measure of popularity, since it refers to the
number of times that a given organisation has been mentioned as a partner by other actors. 6. Conclusions In this article we have conducted a comparison of the multi-level and multi-
organisational field of unemployment in Lyon and Turin in order to analyse, first,
variations of participation of local publics, and second, the main explanatory factors
accounting for cross-city variations. The focus on unemployment has allowed for
analysis of a field that has become increasingly contentious throughout the 2000s, and
which may thus be exemplary for understanding the variable impact of different
policy answers to potentially contentious issues of the future. In particular, our
research has shed light on the complex dynamics that operate across the public
domain (where local publics mobilise) and the policy domain (where elites and
institutions shape their interventions), with the aim of contributing to the development
of a set of theoretical approaches that deal with political participation within the two
distinct scholarly traditions of governance and political opportunities. Our main point is that even the most articulated sets of inclusive arrangements
fostering the participation of local publics need to be appraised in terms of actual
outcomes across the public and policy domains. Following the nexus between context
and behaviour that is at the core of the scholarship of opportunities, more theorisation
is needed in the governance field about the consequences of variable policy processes
for political participation. We have thus argued that a number of crucial questions
need to be asked about the complex interactive dynamics that enable stakeholders to
engage across the public and the policy domains. Accordingly, amongst the main
findings, we have shown that a low level of participation may well fit with more
extensive channels of governance (just as it happens in Lyon), whilst higher levels of
participation may well follow situations of underdeveloped governance (as in the case
of Turin). That is, the allegedly virtuous relationship between governance and
participation is in our research far from being proved, warning us that a more
thorough examination of the normative underpinnings of the same concept of
governance is necessary. Furthermore, our analysis has revealed that provision of services, overall resources,
and time devoted to the specific issue of unemployment (amongst the other possible
issues competing for members’ attention) stand out as predictors of higher levels of
participation in Turin, whereas groups with fewer resources find a better place within
the more inclusive structure of Lyon’s governance regime. quintessential expectations of the social capital literature. (Table 5.3 about here) (Table 5.2 about here) As regards the social capital created by the overall relational structure in which local
publics are embedded, the ANOVA procedure can be useful to correlate the degree
centrality in different networks. This undertakes the variance analysis comparing the
distribution of the centrality in two different networks. The procedure has been used
to assess the correlation between centrality in the participation network and three
other variables: societal importance (level of centrality in the local field of
unemployment, as perceived by the organisation20 or by others21), centrality in
information networks, and the political involvement in networks created by wider
civil society partnerships beyond the unemployment field. Findings show that in both cities participation at the local level co-varies with
participation at the national level, yet with some crucial differences. In Lyon the
impact is much stronger and works only in one direction: the local participation
'moves' the participation at all levels (R-square 0.577). By contrast, in Turin the two
types of participation move together but to a lesser extent (R-square equal 0,268 and
0.299 respectively). At the same time, information stands out as a key factor in Turin. This finding fits with the idea that the political context is negative for civil society
actors of the Italian city. Its local public is cut off, while the rare channels are
selective and biased towards 'well-known' actors so that information is provided only
to the 'usual suspects'. Clearly, information strongly co-varies with both participation
and local participation (at a 99% level of confidence). By contrast, the ‘social
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Ergonomics and musculoskeletal disorders in neurosurgery: a systematic review
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Abstract Meling
torsteinrmeling@gmail.com
1
Department of Clinical Neurosciences, Division of Neurosurgery,
Geneva University Hospitals, Geneva, Switzerland
2
Department of Neurosurgery, Western General Hospital,
Edinburgh, UK
3
Faculty of Medicine, University of Geneva, Geneva, Switzerland Abbreviations
WMSDs
Work-related musculoskeletal disorders
WHO
World Health Organization
CNS
Congress of Neurosurgical Surgeons
ETV
Endoscopic third ventriculostomy
OR
Operating room
CTS
Carpal tunnel syndrome
HMD
Head-mounted display
This article is part of the Topical Collection on Neurosurgery general
* Torstein R. Meling
torsteinrmeling@gmail.com
1
Department of Clinical Neurosciences, Division of Neurosurgery,
Geneva University Hospitals, Geneva, Switzerland
2
Department of Neurosurgery, Western General Hospital,
Edinburgh, UK
3
Faculty of Medicine, University of Geneva, Geneva, Switzerland https://doi.org/10.1007/s00701-020-04494-4
Acta Neurochirurgica (2020) 162:2213–2220 https://doi.org/10.1007/s00701-020-04494-4
Acta Neurochirurgica (2020) 162:2213–2220 REVIEW ARTICLE - NEUROSURGERY GENERAL Ergonomics and musculoskeletal disorders in neurosurgery:
a systematic review Alexandre Lavé1 & Renato Gondar1 & Andreas K. Demetriades2 & Torstein R. Meling1,3 Received: 6 June 2020 /Accepted: 14 July 2020
# The Author(s) 2020
/ Published online: 23 July 2020 Abstract Background Work-related musculoskeletal disorders (WMSDs) are a growing and probably undervalued concern for neurosur-
geons and spine surgeons, as they can impact their quality of life and career length. This systematic review aims to ascertain this
association and to search for preventive measures. Methods We conducted a PRISMA-P-based review on ergonomics and WMSDs in neurosurgery over the last 15 years. Twelve
original articles were included, of which 6 focused on spine surgery ergonomics, 5 cranio-facial surgery (mainly endoscopic), and
one on both domains. Results We found a huge methodological and content diversity among studies with 5 surveys, 3 cross-sectional studies, 2
retrospective cohorts, and 2 technical notes. Spine surgeons have sustained neck flexion and neglect their posture during surgery. In a survey, low back pain was found in 62% of surgeons, 31% of them with a diagnosed lumbar disc herniation, and 23% of
surgery rate. Pain in the neck (59%), shoulder (49%), finger (31%), and wrist (25%) are more frequent than in the general
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ti Results We found a huge methodological and content diversity among studies with 5 surveys, 3 cross-sectional studies, 2
retrospective cohorts, and 2 technical notes. Spine surgeons have sustained neck flexion and neglect their posture during surgery. In a survey, low back pain was found in 62% of surgeons, 31% of them with a diagnosed lumbar disc herniation, and 23% of
surgery rate. Pain in the neck (59%), shoulder (49%), finger (31%), and wrist (25%) are more frequent than in the general
population. Carpal tunnel syndrome showed a linear relationship with increasing cumulative hours of spine surgery practice. Among cranial procedures, endoscopy was also significantly related to shoulder pain while pineal region surgery received some
attempts to optimize ergonomics. Conclusions Ergonomics in neurosurgery remains underreported and lack attention from surgeons and authorities. Improvements
shall target postural ergonomics, equipment design, weekly schedule adaptation, and exercise. Keywords Surgery . Systematic review . Ergonomics . Neurosurgical practice . Spine surgery . Neuro-endoscopy . Musculoskeletal disorders Abbreviations
WMSDs
Work-related musculoskeletal disorders
WHO
World Health Organization
CNS
Congress of Neurosurgical Surgeons
ETV
Endoscopic third ventriculostomy
OR
Operating room
CTS
Carpal tunnel syndrome
HMD
Head-mounted display
This article is part of the Topical Collection on Neurosurgery general
* Torstein R. Data collection The following parameters were extracted and registered for
each article: (1) study ID; (2) study characteristics (author,
year, country, prospective, or retrospective study); (3) patient
demographics; (4) sample size; (5) ergonomics assessment;
(6) type of surgery performed; (7) outcome measurements;
(8) follow-up (FU) time. If necessary, the consensus was
reached by both authors through discussions with the senior
author (TRM). Data from each study reporting prevalence
estimates were extracted. We conducted a systematic review and meta-analysis of
published studies on this topic. Our goals were to determine
(1) the prevalence of WMSDs in neurosurgery and spine sur-
gery, (2) their burden on quality of life and ability to work, and
(3) the possible preventive interventions to minimize their
consequences. Risk of bias and quality of study lead aprons, and high surgical loads pose risks for repetitive
strain injury, carpal tunnel syndrome, and wrist or hand dys-
function. Other examples of preventable disorders affecting
muscles, tendons, and nerves include tendinitis, degenerative
spine diseases, thoracic outlet syndrome, and tension neck
syndrome. The accepted articles were independently graded by two au-
thors (AL and RG) according to the Newcastle–Ottawa
Quality Assessment Scale [30] for quality assessment of
non-randomized studies. The level of evidence for each study
was evaluated using the Oxford Centre for Evidence-Based
Medicine guidelines. WMSDs may lead to time off work and could nega-
tively impact the quality of a surgeon’s performance
[14]. An increasing number of studies have drawn at-
tention to the importance of postural ergonomics,
aiming to reduce musculoskeletal fatigue among neuro-
surgeons [1]. Search strategy and study selection Results for continuous variables are reported as mean ± stan-
dard deviation (SD) or range. For articles that did not report
mean and SD, we estimated the mean and SD according to the
methodology described by Hozo et al. [15]. Categorical vari-
ables are presented as median and quartiles or by absolute and
relative frequencies. According to the PRISMA-P guidelines (Preferred Reporting
Items for Systematic review and Meta-Analysis Protocols
checklist) [26], the authors systematically reviewed the pub-
lished literature on ergonomics and musculoskeletal disorders
in neurosurgery. The literature search was performed on MEDLINE (US
National Library of Medicine), Embase Library, and Google
Scholar, including papers from 2006 to 2020. The following
Medical Subject Headings (MeSH) terms were used:
“ergonomics”[MeSH Terms] OR “ergonomics”[All Fields])
AND (“neurosurgical procedures”[MeSH Terms] OR
(“neurosurgical”[All Fields] AND “procedures”[All Fields])
OR “neurosurgical procedures”[All Fields] OR
“neurosurgery”[All Fields] OR “neurosurgery”[MeSH
Terms]”. Introduction Neurosurgeons and spine surgeons are exposed to work-
related musculoskeletal disorders (WMSDs), which can neg-
atively impact their quality of life and career length. According to the World Health Organization definition,
WMSDs include all health problems of the locomotor appa-
ratus (the skeleton plus muscles, tendons, cartilage, ligaments,
and nerves) and all relevant forms of ill health, ranging from
mild or transitory disorders to irreversible and disabling inju-
ries [31]. Spine neurosurgeons in particular are exposed to WMSDs
by adopting sustained non-neutral positions, with prolonged
neck flexion and coronal misalignment as they operate in a
standing position, frequently leaning over the operating table
[19]. A significant prevalence of neck and back pain has been
reported among spine surgeons [2]. The use of vibrating pow-
er tools, Kerrison punches with repetitive hand movements, 2214 Acta Neurochir (2020) 162:2213–2220 Results In total, 18 titles were retained for full-paper screening. Six
papers were excluded from the qualitative analysis as these
were systematic reviews or not written in English. Thus,
twelve studies were included in the final analysis (Fig. 1). Six articles [1, 2, 12, 17, 19, 20] focused on spine surgery
ergonomics and related issues; five others discussed cranio-
facial surgery [5, 9, 22, 23, 28], mainly endoscopic, and one
survey reported on both spinal and cranial surgery [14]. No limits were defined regarding the year of publication,
language, or publication status, and no other additional filters
were applied after running the search in the abovementioned
databases (Fig. 1). It was not possible to aggregate demographic results as the
variability of study designs and purposes was significant. Among the spine-oriented studies, three were surveys, three
cross-sectional studies (randomized or not), and one was a
technical note. As for the cranio-facial-oriented studies, these
comprised two surveys, two retrospective descriptive cohorts,
and one technical note. Among these last ones, only one in-
cluded microscopic approaches, while the rest focused on en-
doscopic sinus and skull base surgery. Due to the diversity of
parameters measured and questions reported, no quantitative
analysis was performed. The results are shown in Table 1. After removing duplicates, the titles and abstracts from
428 articles were screened. Two authors (AL and RG)
independently screened titles and abstracts of all identi-
fied articles, and full-text copies of all relevant articles
were acquired. The following inclusion criteria were used: (1) peer-
reviewed research articles, prospective, or retrospective, on
ergonomics in the field of neurosurgery and spine surgery
and (2) studies written in the English language. 2215 Acta Neurochir (2020) 162:2213–2220 Fig. 1 PRISMA flowchart Fig. 1 PRISMA flowchart Discussion Like other groups working in medical health, our review
shows that surgeons are significantly impacted by musculo-
skeletal disorders. According to the statistics of the Health and
Safety Executive, the UK government’s agency responsible
for the encouragement, regulation, and enforcement of work-
place health, there were 60,000 work-related cases of the mus-
culoskeletal disorder among people working in human health
and social work in Great Britain in 2019 [16]. This rate is
significantly higher than for workers across all other industrial
branches. Surgeons are not spared from musculoskeletal dis-
orders and are even considered at high risk of developing
WMSDs [3, 10]. The current review allowed us to summarize the state-of-
affairs in a growing field that has been neglected for many
years; to our knowledge, this is the first of its kind in
neurosurgery. Firstly, ergonomics in neurosurgery remains
underreported and lack attention from surgeons, hospital
administrations, surgical material designers, and health in-
surance companies. Secondly, the challenges in ergonom-
ics are quite different between spine surgery and cranio-
facial surgery as the volume of pathology, as well as the
instruments and positions used, are substantially different. Thirdly, the impact of such problems on surgical perfor-
mance and surgeons’ longevity and quality of life is largely
unknown. Lastly, any formal attention given to such as-
pects during the formative years of neurosurgical training
seems non-existent. Among spine surgeons, sustained neck flexion is seen as a
major risk factor for musculoskeletal disorders [14, 19, 20]. Such posture is frequently necessary during procedures, par-
ticularly during cervical spine approaches. An additional con-
tributing factor may be that surgeons tend to neglect their Acta Neurochir (2020) 162:2213–2220 2216 Table 1
List of the clinical data available from the 12 articles included in the review
Source
Year of
publication
Design
Specialty
Geographic
location
Study
participant
Principal outcomes
Gadjradj et al. [14]
2020
Survey
Cranio-facial and
spine
The Netherlands
N = 417
- 73.6% experienced WMSDs. - Spine surgery as first cause of WMSDs. - 11.3% of the respondents had to take time off work. Auerbach et al. [2]
2011
Survey
Spine
USA
N = 561
- 38% of respondents experienced neck pain/strain/spasm. - 31% of respondents reported lumbar disc herniation/radiculopathy. - 28% cases of cervical disc herniation/radiculopathy. - 24% of rotator cuff disease among the respondents. - 20% reported varicose veins or peripheral edema
- 18% experienced lateral epicondylitis. Forst et al. Discussion [9]
2017
Technical note
Cranio-facial
UK
N = 350
- Semi-sitting position, with the addition of having the patient’s head
flexed and turned to the side of the surgeon allowed a more com-
fortable and intuitive placement of the operator’s arms in relation to
the nares. Ramakrishnan
et al. [23]
2017
Survey
Cranio-facial
UK
-
- Discomfort after endoscopic procedure in the standing position was
worse in the legs and low back, whereas, in the sitting position, it
was predominant in the upper back and arms. Ito et al. [17]
2015
Technical note
Spine
Japan
N = 14
- Simulations performed using the support significantly reduced the
musculoskeletal loading on the ventral side of the left foot by 70%. - The device generated circa 10% of the musculoskeletal load on the
right hand. posture during surgery as the procedure itself requires full
concentration. Auerbach et al. [2] surveyed the type and prevalence of
musculoskeletal disorders among 561 surgeon members of
the Scoliosis Research Society; the majority of complaints
were low back pain (62%), neck pain (59%), and shoulder
pain (49%). A significant number of surgeons suffered also
from leg pain with radiculopathy (31%), finger pain (31%),
neck pain with radiculopathy (28%), elbow pain (28%), and
wrist pain (25%) [2]. The prevalence of neck pain in the gen-
eral population is approximately 20% [25]. Another statistic
from this study is particularly insightful: 4.6% of the respon-
dents had undergone surgical intervention for cervical disc
disease. This is in major contrast to the prevalence of 0.35%
of cervical radiculopathy observed in the general population
[13] and this difference was attributed by some authors [2] to
the position with the neck flexed during extended time pe-
riods. Importantly, 31% of the surgeons in this survey reported
lumbar disc herniation and symptomatic back pain with
radiculopathy, with a surgery rate of 23% [2]. Here, again,
there is a gap between the prevalence of symptomatic lumbar
herniated disc in the general population (up to 5% [29]) and
the prevalence observed among the 561 surgeons surveyed. Prolonged operative times while standing, awkward spine po-
sition and movement, or lifting heavy patients have been im-
plicated to explain such a difference. Similar findings were reported by Gadjradj et al. in a sur-
vey among members of the Congress of Neurological
Surgeons [14]. Discussion [12]
2006
Survey
Spine
USA
N = 371
- 107 reported cases (28.8%) of CTS. - Average latency from beginning of residency to the development of
CTS: 17.1 years. - Neurosurgeons as a subgroup showed a significant increase in risk of
CTS (adjusted OR = 2.03). - Kerrison rongeur was the greatest occupational risk to the upper
extremities (adjusted OR = 2.72). - 30.8% of the surgeons with CTS reported that the chronic pain
interferes with their work, and 23.1% modify the way they perform
surgery because of CTS. Park et al. [19]
2012
Randomized
crossover
Spine
South Korea
N = 12
- Lumbar lordosis, cervical lordosis, and occipital angle closer to
natural standing values when discectomy was performed with a
loupe. - Whole spine angles closer to natural standing position with table
height at midpoint between the umbilicus and sternum. Park et al. [20]
2013
Randomized
crossover
Spine
South Korea
N = 18
- Whole spine angles closer to natural standing position closer to
natural standing values when discectomy was performed with a
microscope. - When using a microscope, lumbar lordosis, thoracic kyphosis, and
cervical lordosis showed no differences according to table heights
above the umbilicus. Van Lindert et al. [28]
2004
Retrospective
Cranio-facial
The Netherlands
N = 269
- HMD decreased visual strain. - Working position was considered to be more comfortable when
wearing the HMD. - Eye-hand coordination was improved thanks to HMD. Choque-Velasquez
et al. [5]
2018
Retrospective
Cranio-facial
Finland/Italy
N = 56
- Steeper sitting position with the upper torso and the head of the
patient bent forward and downward allows a more ergonomic
working position for the neurosurgeon allowing his/her arms to rest
over the patient’s shoulders during the procedure. Albayrak et al. [1]
2007
Cross-sectional
Spine
The Netherlands
N = 7
- EMG results showed an average reduction of 44% for the erector
spinae muscle, 20% for the semitendinosus muscle, and 74% for the
gastrocnemius muscle. - Support considered as comfortable, safe, and simple to use Acta Neurochir (2020) 162:2213–2220 2217 Source
Year of
publication
Design
Specialty
Geographic
location
Study
participant
Principal outcomes
Ramakrishnan et al. [22]
2019
Survey
Cranio-facial
USA
N = 250
- Operating in the standing position resulted in physical discomfort
mostly of the trunk and lower body. - Operating in the sitting position shifted the muscular strain to the
upper back, neck, and shoulders. Ekanayake et al. Discussion Neck, shoulder, and back complaints were
the most prevalent in the context of three procedures: lumbar
discectomy, ventriculo-peritoneal shunting, and endoscopic
third ventriculostomy (ETV). Neck complaints were the most
prevalent in respondents performing lumbar discectomy. Again, surgical procedures for degenerative spinal diseases
were most frequently mentioned as preceding factors before
such complaints. Univariate analysis showed that tenure of
less than 15 years and an operating room (OR) furnished er-
gonomically were associated with fewer WMSDs. Multivariate analysis, however, only revealed that having a
tenure of less than 15 years was protective. Finally, height,
sex, age, dominant hand, caseload, the average duration of the
procedure, hours per week in the OR, and having the OR
furnished ergonomically were all non-significant factors. A high rate of carpal tunnel syndrome (CTS) among spine
surgeons was reported by Forst et al. [12]. The survey includ-
ed 371 respondents including 274 spine specialists, where
16.4% were neurosurgeons and 57.4% were orthopedic sur-
geons. When compared with a group of non-surgeons, the
odds of developing CTS were at least twice as high for spine
surgeons as for non-surgical medical practitioners, with 29%
of the surgeons reporting CTS [12]. The risk of developing
CTS showed a linear relationship with increasing cumulative
hours of surgery. A particularly relevant observation for 2218 Acta Neurochir (2020) 162:2213–2220 neurosurgical practice is that the use of the Kerrison rongeur
appeared to be a major risk factor for the development of CTS. Indeed, the neurosurgeon subgroup showed a significant in-
crease in the risk of developing CTS, with an adjusted odds
ratio of 2 [12]. Other significant predictors of CTS among all
medical personnel were obesity and a length of professional
practice of more than 5 years. Auerbach et al. [2] reported a
lower rate of CTS of approximately 9%. Some discrepancies
in the rate of CTS observed between Forst et al. [12] and
Auerbach et al. [2] could be explained by the potential re-
sponse bias in the survey of Forst et al. [12], with a low
response rate of 16.8%. comparable with a natural standing position in terms of values
of lumbar lordosis, thoracic kyphosis, cervical lordosis, and
occipital angle. Moreover, all parameters were also close to
the natural standing position when a microscope was used
during the simulation [20] if an optimal height of the operating
table (midpoint between the umbilicus and sternum) is pro-
vided. Discussion As recently pointed out by Demetriades et al., micro-
surgery with a microscope is ergonomically more efficient
than with loupes and headgear, at least in neurosurgery [8]. In order to improve ergonomics in neurosurgery, especially
during spinal procedures that can be long and tiring, engineers
at the Delft University of Technology developed ergonomic
body support that supports surgeons during both open and min-
imally invasive procedures [1]. The aim was to reduce a sur-
geon’s muscle activity in the lower back and extremities while
keeping the surgical field unobstructed. EMG results from sev-
en independent participating surgeons showed that the proto-
type was effective in reducing the activity of the lower back and
leg muscles during open surgery. This prototype, despite being
described by some of the surgeons as restrictive to their move-
ments, was considered safe in use [1]. Similarly, Ito et al. [17]
proposed a body support device to reduce musculoskeletal
loading for surgeons performing neurosurgical microsurgical
procedures. This ergonomic device, tested on 14 neurosur-
geons, efficiently improved the stability and smoothness of
the surgeon’s motion while reducing musculoskeletal loading
during procedures performed in the standing position [17]. According to Gadjradj et al. [14], ETV is associated with a
high rate of muscular complaints. In the literature, endoscopic
and laparoscopic procedures have also been associated with
high rates of WMSDs [11, 22–24, 27]. Neurosurgeons are not
performing laparoscopic procedures, but endoscopic surgery
in a standing position is frequent in neurosurgical practice. In
particular, upper limb complaints are frequently reported [2,
14]. Forty-nine percent of surgeons in the survey by Auerbach
et al. [2] suffered from shoulder pain, compared with a lower
percentage at 24.7% in Gadjradj et al. [14]. Interestingly,
100% of the surgeons surveyed in the latter reported shoulder
pain while performing ETVs. In an online survey among members of the European
Rhinologic Society [24], 80% of the 250 responders reported
musculoskeletal problems. Neck and back were the
commonest sites of symptoms, in approximately 60% of
cases. A positive correlation was found between musculoskel-
etal symptoms and the standing position. Ramakrishnan et al. [23] compared the sitting and standing positions in a study on
endoscopic sinus surgery and showed that the standing posi-
tion led to increased discomfort in the lower extremities and
back compared with the sitting position, which caused more
discomfort in the upper extremities. Discussion Hand, neck, and eye dis-
comfort were reported in both conditions. Rather than reduc-
ing muscle strain, the authors pointed out that the positional
switch only transferred the tension to other muscle groups. Thus, there is still some controversy as to whether a sitting
or standing position offers the most optimal ergonomic posi-
tion during endoscopic sinus surgery. Ramakrishnan et al. [22] recommended some simple mea-
sures to decrease WMSDs among surgeons performing skull
base or endoscopic procedures. Appropriate monitor placement
at 80–120 cm in front of the surgeon, as well as a correct adjust-
ment of the table to keep the hand in line with the elbow at
approximately 10 cm, with the arms slightly abducted and inter-
nally rotated could efficiently decrease the physical discomfort. As described earlier, the sitting position did not show a signifi-
cant advantage in reducing muscular strain. The authors also
cautioned surgeons not to look directly through an endoscope
lens, to limit the time wearing headlight or loupes, and to limit
wrist flexion, deviation, and rotation to less than 15 degrees [22]. Surgery of the pineal region is considered as a long and
tiring procedure. In this context, some authors [5] proposed a
variant of the classic position (semi-sitting or sitting position)
to improve ergonomics, while reducing feared complications
like air embolism [21]. Thus, they proposed a “praying posi-
tion,” a position in which the patient is sitting steeper, with the
head bent forward and downward and tilted about 30° [5]. Ergonomic modifications in patient positioning were also pro-
posed by some authors [9] during endoscopic pituitary surger-
ies to improve operating by setting up conditions more com-
fortable for the neurosurgeon [9]. As described above, lengthy hyperflexion of the cervical
spine is associated with musculoskeletal disorders. To deter-
mine the optimal sagittal balance of the spine during neuro-
surgical procedures, Park et al. [19, 20] compared whole spine
angles of 12 spine surgeons simulating surgeries on spine
models. Three different methods to visualize the surgical field
(naked eye, loupe, and out of loupe) were used and three
different operating table heights were suggested. The authors
showed that appropriate operating table height was the first
effective step to improve ergonomics in the OR. Discussion Utilization of
loupes should be coupled with a table height situated at the
midpoint between the umbilicus and sternum and is Lastly, head-mounted display (HMD) utilization during
neuro-endoscopic procedures (mainly ETV and
transsphenoidal pituitary surgery) was assessed in the Acta Neurochir (2020) 162:2213–2220 2219 retrospective study of van Lindert et al. [28]. This seemed to
improve the ergonomics of neuro-endoscopic and other
endoscope-controlled procedures by allowing the surgeon to
have a neutral head position, regardless of the surgeon’s posi-
tion relative to the surgical field. The authors showed that
visual strain and ocular fatigue was decreased [28]. factors; and (vi) maintenance of good practice. Continuous
self-improvement and lifelong learning are becoming essential
components of a competent and successful surgeon. Limitations The small amount of literature available on a specific topic is a
natural limitation. The risk of selection bias was minimized by
conducting a two-author data collection, as per PRISMA guide-
lines. Due to the diversity of parameters measured and questions
reported, no quantitative analysis was performed. Lastly, there
was not enough evidence synthesized in order to propose recom-
mendations, other than further research in this area. Future directions Trainees and young neurosurgeons must be aware of the sig-
nificant risk of suffering from WMSDs and learn good practice
early, as well as develop an awareness of the risk they are
exposed to (for instance, the long-term use of the Kerrison
rongeurs or loupes). Exercise also seems to reduce the risk of
developing WMSDs in other standing and manual professions
[7, 18, 32]. For example, some companies have set up work-
place fitness programs, consisting of stretching and warm-up
exercises for over-taxed joints. In the literature, exercise seems
to have a moderate, but the definite impact, on WMSDs [31]. Challenges in ergonomics are quite different between the
spine and cranio-facial surgery. Globally, fewer musculoskel-
etal disorders among cranio-facial surgeries specialist are re-
ported, and most of the complaints are related to upper limb
disorders [14, 23, 28]. Thus, ameliorations of ergonomics in
cranio-facial surgeries are dependent upon correct patient po-
sitioning, utilization of HMDs, and correct positioning of the
endoscope screen. Interestingly, neither of the sitting or stand-
ing position seems to show any advantage to reduce global
muscular strain. In spine surgeries, improvements in postural
ergonomic can be achieved by ideal positioning of the OR
table [19, 20], the ideal positioning of the patient [5], the use
of a microscope during spine surgeries [19, 20], and the use of
body support to decrease surgeon’s muscle strain [1, 17]. Trainees and young neurosurgeons must be aware of the sig-
nificant risk of suffering from WMSDs and learn good practice
early, as well as develop an awareness of the risk they are
exposed to (for instance, the long-term use of the Kerrison
rongeurs or loupes). Exercise also seems to reduce the risk of
developing WMSDs in other standing and manual professions
[7, 18, 32]. For example, some companies have set up work-
place fitness programs, consisting of stretching and warm-up
exercises for over-taxed joints. In the literature, exercise seems
to have a moderate, but the definite impact, on WMSDs [31]. Authors’ contributions Data collection: A.L., R.G.
Review of the literature: A.L., R.G.
Manuscript drafting: A.L., T.R.M., A.K.D., R.G.
Critical revision: all authors Compliance with ethical standards This article does not contain any studies with human participants or an-
imals performed by any of the authors Conclusions Ergonomics for neurosurgeons has seemingly been neglected for
many years and remains underreported. Surgeons, hospital ad-
ministrations, surgical material designers, and health insurance
schemes have a role to play in taking action to protect surgeons
from this potential burden and occupational health hazard. Challenges in ergonomics are quite different between the
spine and cranio-facial surgery. Globally, fewer musculoskel-
etal disorders among cranio-facial surgeries specialist are re-
ported, and most of the complaints are related to upper limb
disorders [14, 23, 28]. Thus, ameliorations of ergonomics in
cranio-facial surgeries are dependent upon correct patient po-
sitioning, utilization of HMDs, and correct positioning of the
endoscope screen. Interestingly, neither of the sitting or stand-
ing position seems to show any advantage to reduce global
muscular strain. In spine surgeries, improvements in postural
ergonomic can be achieved by ideal positioning of the OR
table [19, 20], the ideal positioning of the patient [5], the use
of a microscope during spine surgeries [19, 20], and the use of
body support to decrease surgeon’s muscle strain [1, 17]. The impact of WMSDs in surgical performance and sur-
geon’s longevity and quality of life is largely unknown. A systematic approach into the field of ergonomics in neu-
rosurgery will require a sustained effort with multi-
disciplinary input aiming at eventual long-lasting benefits
for both neuro and spine surgeons, trainees, and patients. Authors’ contributions Data collection: A.L., R.G. Review of the literature: A.L., R.G. Manuscript drafting: A.L., T.R.M., A.K.D., R.G. Critical revision: all authors Neurosurgeons may have to take time off work because of
these WMSDs, and their surgical skills could also be altered
by these. Specific costs generated from these forced vacations
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Tugwell P (2019) The Newcastle-Ottawa Scale (NOS) for assessing
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134:e432–e441. https://doi.org/10.1016/j.wneu.2019.10.093 32. Conflict of interest
The authors declare that they have no conflict of
interest. Conflict of interest
The authors declare that they have no conflict of
interest. Conflict of interest
The authors declare that they have no conflict of
interest. As ergonomics is defined as the scientific study of people
and their working conditions, especially done in order to im-
prove effectiveness [4], it is a field that deserves investment,
both in knowledge and in practice. It is evident that we still need
to define optimal ergonomics for our specialty, paying due
attention to (i) postural ergonomics; (ii) instrument design and
technology; (iii) the environment around the surgeon (e.g., op-
erating table, chairs, lights, monitors, navigation equipment);
(iv) composition of operating lists (length of procedure, posture
during each, weekly schedule); (v) exercise to avoid risk Open Access This article is licensed under a Creative Commons
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licence, visit http://creativecommons.org/licenses/by/4.0/. 2220 Acta Neurochir (2020) 162:2213–2220 Publisher’s note Springer Nature remains neutral with regard to jurisdic-
tional claims in published maps and institutional affiliations. References Yao Y, Zhao S, An Z, Wang S, Li H, Lu L, Yao S (2019) The
associations of work style and physical exercise with the risk of
work-related musculoskeletal disorders in nurses. Int J Occup
Med Environ Health 32:15–24. https://doi.org/10.13075/ijomeh. 1896.01331 15. Hozo SP, Djulbegovic B, Hozo I (2005) Estimating the mean and
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2019. (2019). https://www.hse.gov.uk/statistics/industry/health. pdf. Accessed 27.05.2020 Publisher’s note Springer Nature remains neutral with regard to jurisdic-
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Hic sunt leones. Iconographic analysis and computational modelling for the study of the Iron Age free-standing lions of the Elbistan plain (south-eastern Anatolia)
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Asia Anteriore Antica
Journal of Ancient Near Eastern Cultures Asia Anteriore Antica
Journal of Ancient Near Eastern Cultures 1 A detailed synthesis is reported by Hawkins (2000: 329). Asia Anteriore Antica. Journal of Ancient Near Eastern Cultures 3: 43-72, 2021
ISSN 2611-8912 (online) | DOI: 10.36253/asiana-1204 Citation: Francesco Di Filippo, Feder-
ico Manuelli (2021) Hic sunt leones. Icono-
graphic analysis and computational
modelling for the study of the Iron Age
free-standing lions of the Elbistan plain
(south-eastern Anatolia). Asia Anteriore
Antica. Journal of Ancient Near East-
ern Cultures 3: 43-72. doi: 10.36253/
asiana-1204 Francesco Di Filippo1, Federico Manuelli2
1 Institute for Studies on the Mediterranean (CNR – ISMed), Rome
2 Institute of Heritage Science (CNR - ISPC), Rome and Institut für Altorientalistik
(FU Berlin), Berlin
francesco.difilippo@cnr.it; federico.manuelli@cnr.it Francesco Di Filippo1, Federico Manuelli2
1 Institute for Studies on the Mediterranean (CNR – ISMed), Rome
2 Institute of Heritage Science (CNR - ISPC), Rome and Institut für Altorientalistik
(FU Berlin), Berlin
francesco.difilippo@cnr.it; federico.manuelli@cnr.it Copyright: © 2021 Francesco Di Filippo,
Federico Manuelli. This is an open
access, peer-reviewed article published
by Firenze University Press (http://
www.fupress.com/asiana) and distrib-
uted under the terms of the Creative
Commons Attribution License, which
permits unrestricted use, distribution,
and reproduction in any medium, pro-
vided the original author and source
are credited. Abstract. Lying between the central Anatolian plateau and the Euphrates region,
the Elbistan plain represents an ideal environment for inspecting forms of cultural
interconnection. During the Iron Age, this territory was marked by the presence
of notable inscribed monuments, the study of which allowed scholars to establish
relationships with the most significant Neo-Hittite dynasties. This region is also
characterized by the presence of sets of anepigraphic portal lions, positioned seem-
ingly at random in the open landscape and with no apparent relationship with
coeval archaeological remains, which have never been concretely integrated into
the historical picture. In this contribution, the iconographic and stylistic analysis of
these sculptures will allow us to situate them in their chronological and historical
framework. A computational spatial model is further used to evaluate the meaning
of their positioning as markers of a visual networking system that may have repre-
sented the most significant thoroughfares to and from the Elbistan plain. Data Availability Statement: All rel-
evant data are within the paper and its
Supporting Information files. Competing Interests: The Author(s)
declare(s) no conflict of interest. Competing Interests: The Author(s)
declare(s) no conflict of interest. Keywords. Elbistan plain, Iron Age, Euphrates region, Free-standing lions, Syro-
Anatolian art, Settlement pattern, Semi-automated landform classifica-
tion, Least Cost Paths. Firenze University Press
www.fupress.com/asiana Firenze University Press
www.fupress.com/asiana 1. INTRODUCTION: BACKGROUND AND GOALS Since the mid-19th century AD, German and British explorers travelling
across the Taurus regions reported the presence of two free-standing stone
lions located approximately 15 km south of Darende, in the middle of the
soft foothills at the northern border of the Elbistan plain in central-eastern
Anatolia.1 Because of their presence the spot has always been referred to 44 Francesco Di Filippo, Federico Manuelli Francesco Di Filippo, Federico Manuelli Francesco Di Filippo, Federico Manuelli by local inhabitants as ῾Arslantaş᾽ (lion stone) (Fig. 1). Not much attention has been typically dedicated to these
sculptures and the lions have generally been mentioned as indicators of the presence of a gateway, drawing on com-
parisons with similar stone guardians known from the Assyrian palaces (Sterret 1888: 299). Only later was the
attention of scholars drawn to the fact that these standing in situ sculptures seem not to be associated with any
building or even any proper site (Hawkins 2000: 329), representing an isolated piece of archaeological evidence in
the open countryside (Özgüç, Özgüç 1949: 63-64). Approximately 35 km southeast of Arslantaş, at the eastern border of the Elbistan plain, a second pair of
standing lions has been found in the proximity of the village of Sevdiliköy. They were moved in 1961 to the local
museum of Kahramanmaraş (Eralp 1995). Nowadays, only one of the two sculptures is exhibited, while the second
is kept in the museum storehouse. Their original location was on top of a rock outcrop which probably also repre-
sents the quarry from which the lions had been realized (Orthmann 1971: 533). Indeed, according to the locals,
the sculptures had been found here lying on their sides. Once again at the beginning of the 1960s, a single lion sculpture was discovered in the village of Hunu/
Arıtaş, at the western edge of the Elbistan plain (Kökten 1960: 43; Dumankaya, Topaloğlu 2017: 291). Despite
the fact that the village was built on top of a mound (the so-called Arıtaş Höyük), it is still debatable whether
the sculpture was originally located on the site. The fact that the lion was left unfinished and/or reused allows us
to assume that it was only later transported and employed at the site. In any case, the sculpture was moved to the
Kahramanmaraş museum, where it is still currently exhibited. hi The standing lions of the Elbistan plain have never been the focus of any specific analysis. 1. INTRODUCTION: BACKGROUND AND GOALS Travelers and schol-
ars have long argued over whether the lions from Arslantaş could have been given one or more inscriptions (Ram-
say, Hogarth 1893: 92-96; Charles 1911: 31-35; Meriggi 1975: 316; Hawkins 2000: 329). Nowadays, there are still Fig. 1: The lions of Arlantaş in 1881 or 1882. Credit: John Henry Haynes archive, courtesy of Special Collections, Fine Arts Library,
Harvard University. n 1881 or 1882. Credit: John Henry Haynes archive, courtesy of Special Collections, Fine Arts Library, Fig. 1: The lions of Arlantaş in 1881 or 1882. Credit: John Henry Haynes archive, courtesy of Special Collections, Fine Arts Library,
Harvard University. 45 Hic sunt leones doubts about the location and even the existence of any potential inscription(s) and the continuous exposure of the
lions to the austere winter conditions of the Anatolian plateau will certainly not improve the situation. Very few attempts have also been made to set the three groups of sculptures within their chronological and
cultural context through iconographic and stylistic comparisons (Özgüç, Özgüç 1949: 64; Orthmann 1971: 118;
Eralp 1995: 118-119). Moreover, the sculptures have hardly ever been considered as a coherent whole or analyzed in
order to understand their possible meaning and their relationships and positioning within the surrounding terri-
tory (Harmanşah 2011: 77, Fig. 3).i y
ş
g
However, their main characteristics stand out at first glance. First of all, they are unique in the whole context
of Syro-Anatolian art, considering that they are the only lions carved on all their surfaces and arranged to be seen
for a full four-side view.2 Second, their location is anything but random, since they are all positioned in strategic
areas marking the existence of possible passages and accesses from and to their territory as well as a special rela-
tionship with the surrounding landscape. g
When plotted on a map along with the rest of the archaeological evidence of the Elbistan region, the portal
lions of Arslantaş, Sevdiliköy, and Hunu immediately evoke an impressive significance. Indeed, they all border the
outer fringes of the inhabited plain, distanced from any other settlement of the region (Fig. 2).hh The following pages present the lions from the Elbistan plain. Their main iconographic and stylistic charac-
teristics will be described and situated within the corpus of the Syro-Anatolian art. 2 The term ῾Syro-Anatolian᾽ is used here to identify the region that geographically includes south-eastern Turkey and north-eastern
Syria. For the use of different terminologies in accordance with historical, geographical or ethnic issues see Gilibert (2011: 1-6). 3 We follow here the numeration proposed by Hawkins (2000: 329) who identified lion A with the one on the left entering the poten-
tial ῾gate᾽ and lion B on the right. The sculptures are made of limestone and are placed at approximately four meters distance to each
other; lion A is 2.05 m in height and 2.55 m in length, lion B is 1.95 m in height and 2.55 m in length (Özgüç, Özgüç 1949: 64). 1. INTRODUCTION: BACKGROUND AND GOALS Their positioning will be then
evaluated within the surrounding territory through computational spatial models and their symbolic, political, and
historical meanings will be further discussed. Fig. 2: Map of the study area with cited toponyms. Base map by Stamen Design, CC-BY-3.0. Fig. 2: Map of the study area with cited toponyms. Base map by Stamen Design, CC-BY-3.0. 2 The term ῾Syro-Anatolian᾽ is used here to identify the region that geographically includes south-eastern Turkey and north-eastern
Syria. For the use of different terminologies in accordance with historical, geographical or ethnic issues see Gilibert (2011: 1-6). 2 The term ῾Syro-Anatolian᾽ is used here to identify the region that geographically includes south-eastern Turkey and north-eastern
Syria. For the use of different terminologies in accordance with historical, geographical or ethnic issues see Gilibert (2011: 1-6). 46 Francesco Di Filippo, Federico Manuelli 2. ICONOGRAPHY AND STYLE 2.1. Description The most renowned case of this fascinating group of sculptures is represented by the couple of still in situ por-
tal lions from Arslantaş (Fig. 1).3 The lions are free-standing and only the stone blocks underneath the bodies and
between the legs were not sculpted away. This resulted in an almost fully three-dimensional shape where the body
details are carved for a four-side view and the shoulders and hind legs are seen sideways (Fig. 3). This provides the sculptures with a peculiar natural stance, as is also stressed by their upper outline that steeply
follows the curve of the animals’ spines. The lions are relatively slender with slightly rounded edges and smoothed
surfaces. Shoulders and hind legs are separated from the torso by well-defined and soft curves. The limbs are elon-
gated and slim, but they look rather stiff and immobile, despite the front legs being slightly advanced. The heads
are three-dimensionally figured all around and conceived for a multi-side view. However the unnatural position of
the heads should be noted – completely retracted and embedded into the shoulders – as well as their cubic, unusu-
ally long and wide proportions. The rendering of the animals’ details is unfortunately not always easily comprehensible. This is especially evi-
dent on lion B, where the details of the muzzle are almost completely washed away. The lions’ mouths are open
wide with a hanging tongue just slightly visible on lion A (Fig. 4). The lips are round and large while the fangs,
probably originally four sharp pointed shapes, are now only discernible by means of two conical bulges. The upper
parts of the muzzles are deeply damaged, so as not to allow for a precise reconstruction of their details. This gener-
ates a bizarre perception of the mouths, as though they were wider than the originals. The outline of a broad nose Fig. 3: The lions of Arlantaş: lion A (top) and lion B (bottom). Drawings by R. Zaher based on: Özgüç, Özgüç 1949 and Bilgin
2021. Fig. 3: The lions of Arlantaş: lion A (top) and lion B (bottom). Drawings by R. Zaher based on: Özgüç, Özgüç 1949 and Bilgin
2021. Fig. 3: The lions of Arlantaş: lion A (top) and lion B (bottom). Drawings by R. Zaher based on: Özgüç, Özgüç 1949 and Bilgin
2021 47 Hic sunt leones is in any case visible especially on lion A. 2.1. Description The eyes of the animals are also wide with the upper orbital parts round-
ed and notably protruding. Despite the absence of a neck due to their posture, the muscles that surround the animals’ heads are rendered
by a soft band that is still partially visible only on the external side of lion A that merges with the above-mentioned
protruding eye socket. The cheek musculature is also very prominent and is especially emphasized on the external
side of lion A. The ear shape is in contrast almost totally indiscernible. They give the impression of being large,
retreated, and triangular (Fig. 5). i g
( g
)
Despite the fact that they are characterized by rounded and well-defined shoulders, the forelegs are out of pro-
portion: extremely wide on the upper part and thinner in the lower one. Moreover, the joint between the two seg-
ments is characterized by a very unnatural angle that recalls a protruding spur, as is especially noticeable on the
back of the external foreleg of lion A. On the same lion, the upper sides of both forepaws are also visible, and are
characterized by four elongated and stylized claws (Fig. 6). Unfortunately, their ends on both the front and the lat-
eral sides cannot be reconstructed because they are hidden by the soil of the field. y
yi
A thick mane entirely covers the external sides of the upper parts of both lions, approximately down to the
belly line and reaching almost the limit of the hind leg (Fig. 5). On lion A, the mane recalls a pattern characterized
by irregular lozenges or leaf-shapes that overlap both the fore and the back shoulders. This is less readable on lion
B, where the limestone encrustations and a series of irregular grooves on the surface have been weathered, giving
the impression of the presence of some rude circular patterns. This might also be a consequence of the long period
spent by the lion lying on this side and touching the earth. h The bodies are slim, and the abdomens are rendered with an arch shape that is extremely stretched and
thin on lion A but heavier and more solid on lion B. As far as the hind legs are concerned, they are also well Fig. 4: Arlantaş in 2011, the lions’ head: lion A (left) and lion B (right). Credit: Bilgin 2021. Fig. 4 The exhibited lion is made of andesite and is 2.04 m in height (Eralp 1995: 115). 2.1. Description 4: Arlantaş in 2011, the lions’ head: lion A (left) and lion B (right). Credit: Bilgin 2021. 48 Francesco Di Filippo, Federico Manuelli Fig. 5: Arlantaş in 2014, the lions’ external foreside: lion A (left) and lion B (right). Credit: Wikimedia Commons, https://com-
mons.wikimedia.org/wiki/Category:Aslanta%C5%9F_(Darende), CC-BY-SA-3.0. Fig. 5: Arlantaş in 2014, the lions’ external foreside: lion A (left) and lion B (right). Credit: Wikimedia Commons, https://com-
mons.wikimedia.org/wiki/Category:Aslanta%C5%9F_(Darende), CC-BY-SA-3.0. Fig. 6: Arlantaş in 1947, lion A forepaws. Adapted from: Özgüç, Özgüç 1949: 16, res. 18-19. Fig. 6: Arlantaş in 1947, lion A forepaws. Adapted from: Özgüç, Özgüç 1949: 16, res. 18-19. and softly modelled, as is especially evident in the rendering of the gentle and rounded curves of the shoulders. However, as for the forelegs, little attention has been paid to their proportions, namely that the lower parts are
unnaturally thinner than the upper ones. Only the left paw of lion A is visible. Once again, this is done by ren-
dering the four claws with thin and stylized traits, while the paw side is once again not visible. A thick tail is
observable on the upper parts of the backs of both figures, disappearing between the legs and turning sideways
approximately at the point where the limbs became thinner. Indeed, the faint trace of a carved tail is visible on
the external side of lion A, where it sharply runs diagonally downwards with a final thickened upturned curl,
maybe symbolizing the hair tuft. and softly modelled, as is especially evident in the rendering of the gentle and rounded curves of the shoulders. However, as for the forelegs, little attention has been paid to their proportions, namely that the lower parts are
unnaturally thinner than the upper ones. Only the left paw of lion A is visible. Once again, this is done by ren-
dering the four claws with thin and stylized traits, while the paw side is once again not visible. A thick tail is
observable on the upper parts of the backs of both figures, disappearing between the legs and turning sideways
approximately at the point where the limbs became thinner. Indeed, the faint trace of a carved tail is visible on
the external side of lion A, where it sharply runs diagonally downwards with a final thickened upturned curl,
maybe symbolizing the hair tuft. 49 Hic sunt leones Hic sunt leones The main traits that characterize the lions from Arslantaş also recur on the Sevdiliköy one.4 The above-men-
tioned imbalance of rounded natural surfaces and out-of-proportion anatomical details represents the basic char-
acteristic of this sculpture as well (Fig. 7). Moreover, the lion is thought to be a free-standing monument with its
almost entirely three-dimensional shape made for a four-side view (Fig. 8). Considering its general iconographic
and stylistic aspects as well as dimensions, the lion from Sevdiliköy is essentially quite identical to those from
Arslantaş. The figure is slender but characterized by an unnatural triangular and static shape of the body. The head
is retracted into the shoulders and shows cubic and unbalanced proportions. The shoulder muscles are once again
well-defined but still characterized by rigidity and flatness. il
Most of the details of the heads of the Arslantaş lions are also visible here, such as the big and protruding eyes,
the wide and deep open mouth with faintly visible hanging tongue, the emphasized cheek muscles, the squared and
broad nose, as well as the band that surrounds the head. In any case, it should be noted that the sculpture is better
preserved than those from Arslantaş, allowing for a better analysis of some anatomic details (Fig. 9). Fig. 7: The lion of Sevdiliköy in 2011. Credit: Bilgin 2021. Fig. 7: The lion of Sevdiliköy in 2011. Credit: Bilgin 2021. Fig. 7: The lion of Sevdiliköy in 2011. Credit: Bilgin 2021. Fig. 7: The lion of Sevdiliköy in 2011. Credit: Bilgin 2021. 50 Francesco Di Filippo, Federico Manuelli Fig. 8: The lion of Sevdiliköy. Drawings by R. Zahler based on: Eralp 1995 and Bilgin 2021. Fig. 8: The lion of Sevdiliköy. Drawings by R. Zahler based on: Eralp 1995 and Bilgin 2021. Fig. 8: The lion of Sevdiliköy. Drawings by R. Zahler based on: Eralp 1995 and Bilgin 2021. Fig. 8: The lion of Sevdiliköy. Drawings by R. Zahler based on: Eralp 1995 and Bilgin 2021. Fig. 9: The lion of Sevdiliköy in the 1990s, the foreside. Adapted from: Eralp 1995: Lev. E6, F1, courtesy of Gül Eralp Kania. Fig. 9: The lion of Sevdiliköy in the 1990s, the foreside. Adapted from: Eralp 1995: Lev. E6, F1, courtesy of Gül Eralp Kania. The muscles around the mouth are softly defined by a thin curved surface, while the muzzle is high, squared
and pronounced. Hic sunt leones A thick tail starts from the back of the animal, disappears between its legs and appears then
again on its right side running horizontally and finally turning up with a curl (Fig. 10). The ears rise up from
the band that surrounds the head in the shape of two large patches. The eyes are oval-shaped and well-defined. Uncommonly, the mouth does not show any trace of fangs, but a series of fractures at its far ends let us assume that
they should have been there originally. In contrast to what can be observed at Arslantaş, no trace of mane or fur is
visible on the lion surface. Moreover, the sculpture entirely stands on a substructure that slightly protrudes outside
the limits of the animal shape. The forelegs are rounded and straight with the right limb slightly advanced, providing a certain idea of move-
ment. In any case the left shoulder is definitively out of proportion, occupying a great part of the body space and
being itself as long as the rest of the leg. Moreover, the joint between the upper and the lower parts of the limb is 51 Hic sunt leones Fig. 10: The lion of Sevdiliköy, the lion’ right side in 2014 (left) and back side in the 1990s (right). Left, credit: Wikimedia Com-
mons, https://commons.wikimedia.org/wiki/File:Kahramanmaras_Museum_L%C3%B6we_Sevdilli.jpg, CC-BY-SA-3.0. Right,
adapted from: Eralp 1995: Lev E5, F3, courtesy of Gül Eralp Kania. Fig. 10: The lion of Sevdiliköy, the lion’ right side in 2014 (left) and back side in the 1990s (right). Left, credit: Wikimedia Com-
mons, https://commons.wikimedia.org/wiki/File:Kahramanmaras_Museum_L%C3%B6we_Sevdilli.jpg, CC-BY-SA-3.0. Right,
adapted from: Eralp 1995: Lev E5, F3, courtesy of Gül Eralp Kania. once again very unnatural and sharp. Although barely detectable, the paws of the forelegs are rendered by four
stylized claws visible on their upper side only. Even more unbalanced are the hind legs. First of all, the right back
shoulder is longer compared to the left one, capturing almost all the space designated to the entire leg. As a result,
the lower right hind leg is completely projected forwards, giving the impression that the animal is crouched on this
side. The lower left leg is better proportioned, but its paw is extremely elongated, probably in an attempt to com-
pensate for the position of the right limb. At the extremity of the left paw the faint traces of four elongated claws
are again visible. 5 The lion is made of basalt and is 1.30 m in height and 1.60 in length (Kökten 1960: 43). Hic sunt leones Interestingly, the points where the upper and the lower hind legs join are, in both cases, naturalis-
tically rendered by means of a small and round protrusion. hf The lion from Hunu shows instead an important set of differences compared to Arslantaş and Sevdiliköy (Fig. 11).5 This is especially evident in its smaller size, as well as its rendering and design (Fig. 12). In-depth observations
are difficult because the lion almost doubtlessly is both reworked and unfinished. Three different carving stages
are indeed visible on the sculpture. The right backside is only roughly hewn and the front and front-right is carved
with finishing details, while the entire left side is smoothed and outlined (Fig. 13). it
Despite the fact that these activities are easily recognizable on the stone, the establishment of their temporal
order is difficult. However, the occurrence of the different carving steps on the sculpture can hardly be explained
other than as an unfinished carving process of reusing the stone block. It gives the impression that its front fin-
ished side represents either the earliest or the latest carving activity. The hammering and smoothing traces on the
two sides mark instead an even later reuse that was probably never finished. With this is mind it is clear that estab-
lishing either its original or final shape is virtually impossible. However, it is also very interesting to note that there are more than a few correspondences with Arslantaş
and Sevdiliköy in some of the iconographic and stylistic details still visible on the sculpture. First of all, the upper
curved outline of the stone block reproduces once again the spine and the backside of the animal. It allows the 52 52 Francesco Di Filippo, Federico Manuelli Fig. 11: The lion of Hunu in 2015. Credit: Bilgin 2021. Fig. 11: The lion of Hunu in 2015. Credit: Bilgin 2021. Fig. 12: The lion of Hunu. Drawings by R. Zahler based on: Kökten 1960 and Bilgin 2021. Fig. 12: The lion of Hunu. Drawings by R. Zahler based on: Kökten 1960 and Bilgin 2021. Fig. 12: The lion of Hunu. Drawings by R. Zahler based on: Kökten 1960 and Bilgin 2021. 53 Hic sunt leones Fig. 13: The lion of Hunu in 2015, the lion’ left side. Credit: Bilgin 2021. Fig. 13: The lion of Hunu in 2015, the lion’ left side. Credit: Bilgin 2021. Hic sunt leones assumption that this lion as well was not thought to be a structural element but rather a free-standing sculpture. Moreover, the general posture of the lion, with its retracted and unnatural position of the head as well as its round-
ed, plastically sculpted but at the same time cubic and stiff character, are very close to the other lions. Despite the
fact that the front face is almost completely lost, probably erased together with the left side of the lion, interesting
observations can be drawn from its right side. The head is surrounded by a curved band on which the traces of
the depressions left by a small triangular retreated ear are still visible. The eye is only slightly perceptible. It was
certainly wide, with its upper orbital part protruding. The mouth was also wide and open, as well as characterized
by a soft line that defines its lateral muscles. Because of all these characteristics, the head of the Hunu lion can be
considered very close to those of Arslantaş and Sevdiliköy. Nonetheless, it cannot be ignored that the design of the limbs shows significant differences. First of all, their
shapes are mostly carved rather than rendered in relief. The lower torso is only visible by means of a faint incised line
that shapes its outline. The shoulder is defined by an unnatural spiral form, an attempt to balance anatomic details
and decorative patterns. The external side of the right foreleg has a triangular shape with the muscles stressed by
further incisions. The same pattern occurs on the front side of the legs. Despite the fact that their outline is softly
and naturalistically defined, with incised lines that emphasize the upper shoulder curvatures, the overelaboration
of the muscle details produces once again an extravagant result. The view of the lower legs is even more awkward. Indeed, this part protrudes, creating a sort of unnatural break in the front limbs and giving the idea that the animal
is crouched. Moreover, this protuberance was completely designed to reproduce the animal paws, with the result that
these are as long as the upper legs. Once again, the paws are defined by four elongated and slim claws. 6 If not otherwise specified the nomenclature of the following comparisons is always based on the numeration provided by Orthmann
(1971). 2.2. Comparisons In the wider framework of the Syro-Anatolian figurative art of the late 2nd-early 1st millennium BC, the lions
from Elbistan show on the one hand their adherence to specific artistic canons and, on the other hand, the intro-
duction of original aspects.6 First of all, it should be noted that the lions from Arslantaş, Sevdiliköy, and Hunu are unique in their arrange-
ment (Fig. 1). As a matter of fact, lion sculptures were usually integrated into specific structures with the intent of 6 If not otherwise specified the nomenclature of the following comparisons is always based on the numeration provided by Orthmann
(1971). d the nomenclature of the following comparisons is always based on the numeration provided by Orthmann 54 Francesco Di Filippo, Federico Manuelli Francesco Di Filippo, Federico Manuelli guarding the gates of cities, palaces, temples or citadels (Mazzoni 2013: 470-471; Pucci 2015: 59-70). These ῾prop-
er᾽ portal lions were indeed always sculpted on one side only, while their structural parts were left uncarved. The
forelegs and the heads were protruding and three-dimensionally rendered, but the rest of the figures were intended
for a lateral view with a bidimensional approach that implied the visibility of the hindlegs on the carved sides only. The sculptures from Arslantaş, Sevdiliköy, and Hunu were instead completely free-standing and three-dimension-
ally shaped for a four-side view. They were not meant to be integrated into a structure, rather they were ῾virtual᾽
portal lions, themselves representing a structure. A couple of similar cases can be taken into consideration. The lion
from Çolaklıköy, found out of its context in the namesake village, is probably the best comparable example (Tunca
1976). It was sculpted on its four sides exactly in the same manner as the Elbistan lions and its dimensions are
comparable with Hunu. Nonetheless, the right-side section of the back was flattened with a rectangular hole and
its rear end was squared off vertically. Hence, it should have been used with some structural purpose. Actually, this
lion seems to be structurally akin to the figures adorning the entrance of the Kapara Temple-Palace at Tell Halaf
(Moortgat 1955: 110-114). Indeed, the two lions of the four-bay portico were also sculpted on their four sides, serv-
ing architecturally as statue-stands of the hilani façade (Gilibert 2014: 40-44). Another all-round lion is Hama
C/1. It is fully three-dimensionally shaped even in the part underneath the body and between the legs. 2.2. Comparisons Unfortu-
nately, the lion is the result of a very invasive restoration and not a few doubts about its original design have been
raised (Orthmann 1971: 102-103; Riis, Buhl 1990: 50-52). The wide set of unfinished lions coming from quarries and workshops also show, at a first glance, similarities
with the sculptures from Arslantaş and Sevdiliköy. These are especially evident for some of the standing lions from
Yesemek (Duru 2012: 68-71, lev. 8-11), as well as examples from Sıkızlar, Zilfe and Demirciler (Mazzoni 1986;
Mazzoni 2011: 141-143; Carter 1996: 292-293, 304-305; Konyar 2009: 178, 185-186). Actually, affinities are
mostly related to their stiff posture and cubic proportions, but exact comparisons are hard to make and mislead-
ing considering their incomplete nature. In fact, a more careful analysis shows that these sculptures were always
thought to be ῾proper᾽ portal lions, since they were outlined on one side only and, when visible, their hindlegs
were both carved on the same side. As mentioned, the posture of the forelegs of the lion from Hunu is very unnatural and atypical. It recalls the
small, crouched lion displayed in the Gaziantep Museum, which interestingly seems to originally come from the
Elbistan region as well (Balcıoğlu 2009). Actually, squat lions are very common in the Syro-Anatolian art, such as
that visible on relief E/1 of the Herald’s Wall and H/2 of the King’s Gate at Karkemiš (Hogarth 1914: pl. B10a;
Woolley 1952: pl. B55a). Moreover, crouched lions are frequently depicted as deity stands, as at Darende and with
the stele B/4 from Malatya (Hawkins 2000: 304-305, 328, pl. 145-146, 164). h When we turn to their iconographic and stylistic details, further peculiarities emerge. The head of the lions,
completely retreated into the shoulder and without any trace of neck, provides these figures with a unique pos-
ture. The upper curved outline of the body of the lions from Arslantaş and Sevdiliköy is also very uncommon. It recalls the shape of the portal lion Malatya A/2 (Dalaporte 1940: pl. XVI-XVII; Orthmann 1971: 97-98). In contrast, the back rump-shape of the lion from Hunu is more canonical and comparable with the specimens
C/1-2 and C/4-5 from the Lion’s Pit at Zincirli (Luschan 1902: Taf. 46-47), as well as with the portal lion Malat-
ya A/1 (Dalaporte 1940: pl. XVIII-XXI) and the lion base Karkemiš H/11 (Woolley 1921: Pl. B21; Orthmann
1971: 41-42). 2.2. Comparisons The horizontal movement of the tail of the lions from Arslantaş and Sevdiliköy is also without comparisons. Indeed, the typical Iron Age tails curl up between the legs of the animals but always moving from up to down
(Akurgal 1949: 68-71). The closest examples are attested at Ain Dara, on the portal lions A/1-2 (Orthmann 1971:
58, Taf. 1a) and on the reliefs of the outer façade of the temple terrace (Abū Assāf 1990: pl. 19a, 22a). Here, the
lions’ tails run horizontally under the bodies of the animals but always curl down. h The mane covering the entire body of the lions from Arslantaş is also unique. Indeed, when attested, the
fur covers the frontal parts around the heads of the animals only, as a proper mane, while in a few other cases
it extends over the bellies of the lions (Akurgal 1949: 70-73). Moreover, at Arslantaş the pattern is also atypical. Some affinities can be seen with the leaf-shape mane of the sculptures of the Temple-Palace at Tell Halaf (Moort- 55 Hic sunt leones gat 1955: 110-114, Taf. 120-121, 128) and with the overlapping irregular lozenge-shape mane of the antithetical
lions on the pedestal wall relief of the cella of the Storm-God Temple at Aleppo (Gonnella et al. 2005: 108-109,
Abb. 152; Kohlmeyer 2013: 522). y
)
More affinities with the repertoire of Syro-Anatolian art can be found when we turn to the anatomic details
of the lions. The head shape of the lions from Arslantaş, with their open wide mouths and protruding upper orbit-
al eye parts, finds comparison with the figures of the Temple-Palace at Tell Halaf (Cholidis, Martin 2010: 346-
354; Moortgat 1955: 113-114, Taf. 127-128). The solid and cubic form of the head of the lion from Sevdiliköy is
instead very similar to those of the animals carved on reliefs B/11 and B/12 of the Outer Citadel Gate at Zincirli
(Luschan 1902: Taf. 44). Moreover, its squared and large nose is close to those carved on the lion base Karkemiš
H/11 (Woolley 1921: Pl. B21). The emphatic cheek muscles of Arslantaş and Sevdiliköy characterize many of the
sculptures of the Herald’s Wall at Karkemiš (E/3, E/4 and E/9) (Hogarth 1914: pl. B11a-b, B14b; Orthmann 1971:
31-32), as well as the relief with the antithetical lions from Aleppo (Gonnella et al. 2005: 96, 101, 108-109, Abb. 133, 141, 151-152). 2.2. Comparisons The small triangular and retreated ear of Hunu is also comparable with examples from the Her-
ald’s Wall at Karkemiš (E/1 and E/3) (Hogarth 1914: pl. B10a, B11a), as well as with reliefs from Aleppo (Gonnel-
la et al. 2005: 108-109, Abb. 151-152). The big, raised ears integrated into the band around the head of Sevdiliköy
recall instead the portal lions A/1-2 from Ain Dara (Orthmann 1971: Taf. 1a). Again, it should be considered that
the way they hang laterally in a large patch-shape is without comparisons. h y
y
g
y
g p
p
p
The band that surrounds the heads of the lions from Arslantaş and Sevdiliköy is quite characteristic of Syro-
Anatolian art. It can be seen again at the Herald’s Wall at Karkemiš (E/1, E/3, E/4, E/6 and E/9) (Hogarth 1914:
pl. B10a, B11a-b, B13a, B14b), as well as in the reliefs from the pedestal wall at Aleppo (Gonnella et al. 2005: 96,
Abb. 133). The more protruding curve around the head of Hunu is instead more similar to those on the portal
lions Malatya A/2 (Delaporte 1940: pl. XVI-XVII) and Ain Dara A/1-2 (Orthmann 1971: Taf. 1a), as well as on
the lion base Karkemiš H/11(Woolley 1921: Pl. B21). Many sculptures and reliefs present rounded and well-defined fore and back shoulders. Not in a few cases the
rendering of the anatomic details is out of proportion, recalling those of Arslantaş and Sevdiliköy. This is especially
visible on some of the reliefs of the Herald’s Wall at Karkemiš (E/1 and E/4) (Hogarth 1914: pl. B10a, B11b) and
again on the antithetical lions from Aleppo (Gonnella et al. 2005: 108-109, Abb. 152). The peculiar sharp angle
that characterizes the joints of the forelegs at both Arslantaş and Sevdiliköy finds a good comparison with the
unnatural posture of the lion carved on relief A/9a and the bulls reproduced on reliefs A/3 and A/4 at Malatya
(Delaporte 1940: pl. XIX, XXII; Orthmann 1971: 91-92). The spiral-shape of the shoulder of the lion from Hunu
is however more uncommon. As a decorative element, the spiral occurs for instance on the sphinx protome Zin-
cirli K/8 (Orthmann 1971: 73, Taf. 67b), while a pattern similar to Hunu can be seen on the bulls decorating the
sculpted base from Domuztepe (Çambel 1999: 94, pl. 2.3. Style and Dating Remarkably, the
most reliable and comprehensive study on the development of lion iconography and style between the end of the
2nd and the beginning of the 1st millennium BC is still nowadays provided by E. Akurgal (1949: 57-75). However,
more recently S. Mazzoni (2000: 1046-1048; 2013: 477) has added new cases and thoughts to the topic, still con-
firming the arguments and the general development proposed by the Turkish scholar.hi With the exception of some stylistic details, the lions from Arslantaş and Sevdiliköy are almost identical. The first
shows rounded edges, soft curves and more attention to detail, i.e. the mane and the paws, while the second is more
squared and solid, but in any case they are undeniably very close to each other. They can certainly be the product of
the same workshop or even of the same sculptor or artist and their dating should necessarily be the same. As far as
the lion from Hunu is concerned, its unfinished status creates not a few problems for its evaluation. The sculpture is
clearly smaller than those from Arslantaş and Sevdiliköy, but its general arrangement and above all the carving and
rendering of its head is nearly the same. Despite the fact that the design of the forelegs is clearly different, the contem-
poraneity of the whole group is probably the preferred assumption. Indeed, it cannot be ruled out that they all belong
to the same workshop, but that the carving of the lion from Hunu followed a different path and the rendering of its
finished front side was made by a different sculptor than the one responsible for Arslantaş and Sevdiliköy. if
Considering that the heads of the lions from Arslantaş and Hunu are deeply damaged and that the one from
Sevdiliköy is also not in perfect condition, only a few elements can be used for an appropriate dating of the sculp-
tures. Despite the fact that the movement of the tails of the lions from Arslantaş and Sevdiliköy is unusual, it
needs to be noted that tails curling up between the legs of the animals are typical of the pre-Assyrian Iron Age,
while during the Assyrian period they instead start curling onto their rears (Akurgal 1949: 68-69). 2.3. Style and Dating The lions from the Elbistan plain have never been concretely integrated into the development of the Syro-
Anatolian art. W. Orthmann (1971: 118) included them in his collection, saying that due to their posture they
do not specifically belong to any group and because of their coherent characteristics they might all be attributed
to the same workshop. Despite this, he tentatively assigned Sevdiliköy to his style II and Hunu to style III, with-
out any specific mention of Arslantaş (Orthmann 1971: 486, 533). Before him, T. and N. Özgüç (1949: 63-64)
instead proposed a dating for the lions from Arslantaş to the 11th or 12th century BC, since they merge rounded
and smoothed surfaces typical of the Hittite period with more squared details of some later sculptures. Following
the same idea, G. Eralp (1995: 118-119) also agreed that both Arslantaş and Sevdiliköy belong to an early phase
of Late Hittite art. In contrast, S. Mazzoni (1997: 366) considered all sets of lions from Elbistan as belonging to
a consistent group of free-standing sculptures dated to the 9th century BC, together with Havuzköy, Çolaklıköy,
Tell Halaf, and Hama. More recently, A. Gilibert (2015: 143) found the comparison with the sculptures from Ain
Dara more suitable, setting the dating of the lions to the 11th century BC. Moreover, V. Blanchard (2019: 191-193)
considered the lions from Arslantaş and Sevdiliköy as evidence of the activities carried out across the Elbistan terri-
tory during the 12th century BC. y
g
y
It is undeniably challenging to situate the case of the Elbistan lions within the already complex lines of devel-
opment of Syro-Anatolian art. Indeed, the identification of a general development of this form of art is difficult to
trace, especially in the absence of reliable contexts and considering the differences in style occurring at contempo-
rary sites (Orthmann 2002: 153-155; Manuelli 2016: 28-29). The lions from the Elbistan plain represent a prop-
er stylistic group without any trace of a clear internal development. This increases the difficulties of delivering an
appropriate cultural and chronological assessment. It should also be considered that the Syro-Anatolian lions have never been the focus of any detailed study, and
curiously Orthmann has also not provided any specific analysis of them as individual figures. 2.2. Comparisons 122-123).h p
p
Ç
p
The pattern made with incised lines that reproduce the muscled shape of the forelegs at Hunu is not rare in the
repertoire of the Syro-Anatolian art. Comparisons can be made with the lions decorating the reliefs of the terrace
of the temple at Ain Dara (Abū Assāf 1990: pl. 19a, 22a), as well as with the relief H/2 from the King’s Gate at
Karkemiš (Woolley 1952: pl. B55a; Orthmann 1971: 31-33). As far as the paws of the three sets of lions is concerned, they certainly share the general characteristic of end-
ing with elongated claws. However, only the case from Arslantaş offers the possibility of drawing specific compari-
sons. Interestingly, T. and N. Özgüç (1949: 63-64, Abb. 18-19), stated that when they visited the site the forepaws
of lion A were visible. They describe the four claws on each paw as flat on their top, curved on the front and with
some linear decorations, suggesting a very suitable comparison with the early sculptures of the Lions’ Pit at Zincirli
(C/1-3) (Luschan 1902: Taf. 46-47). A further association can be made with the earlier group of reliefs from Hama
(Riis, Buhl 1990: 40-42, fig. 17). The back paw still visible on the internal side of lion A shows an even more
stretched and slim shape of the paws that seems to be comparable with those of the lions of the Temple-Palace at
Tell Halaf (Cholidis, Martin 2010: 346-354; Moortgat 1955: 110-114, Taf. 121-122, 129). 56 Francesco Di Filippo, Federico Manuelli 2.3. Style and Dating Concerning
the distinctive mane of Arslantaş, it must be stressed that the stylized spade or leaf pattern is more typical of the
Hittite lions, while it developed into a flame-shape mostly during the Iron Age (Akurgal 1949: 59; Mazzoni 2000:
1046). The soft rendering of the cheeks as well as the emphatic muscles of the necks and the shoulders also echo
the Hittite imperial period, while the stiff and static posture of the figures is more characteristic of the earliest
Iron Age sculptures (Özgüç, Özgüç 1949: 64). Following the same dichotomy, the small retracted ear of the lion 57 Hic sunt leones from Hunu recalls Hittite prototypes, but the wide and rigid open mouth is instead closer to later examples (Orth-
mann 1971: 118; Akurgal 1949: 70-72). The unusual rendering of the forelegs of Hunu is certainly close to Assyr-
ian examples, but similar patterns are already visible for instance at Ain Dara (Mazzoni 2000: 1046). p
p
y
(
A special mention is due to the paws of the lions from Arslantaş. Unfortunately, the rendering of their lateral
part, which represents one of the most distinguishing features of the lion development, is not detectable. It might
be assumed that the forepaws displayed a fifth lateral crouched claw. The back paw could have also been character-
ized by the same pattern. Indeed, neither the schematic double-thickened claws with single spiral of the earliest
Iron Age sculptures, nor the stylized multiple-spiral shape of the later ones are here reproduced (Mazzoni 2013:
477; Akurgal 1949: 68). g
)
In general, comparisons have shown that the main set of affinities occur with the lions carved on the reliefs of
the Herald’s Wall at Karkemiš, as well as with those of the cella of the Storm-God Temple at Aleppo, which can
now be quite confidently set at the beginning of the 10th century BC (Mazzoni 1997: 266-267; Gilibert 2011: 116-
117). Nonetheless, further features usually associated with the continuity of the Hittite artistic traits into the earli-
est Iron Age sculptures are also observable. 2.3. Style and Dating Specific comparisons have been made with the sculpted lions and the
reliefs of the terrace at the Ain Dara temple, dated to the 11th century BC (Nóvak 2012: 48; Mazzoni 2013: 473;
Gilibert 2015: 143), as well as with some of the sculptures reused in the Lions Gate at Malatya, which originally
belong to the 12th century BC (Mazzoni 1997: 292; Manuelli 2019). Later parallels can also be seen in certain
traits of the lions at the entrance of the Temple-Palace at Tell Halaf, for which a dating to the late 10th century
BC can be assumed (Mazzoni 2013: 480; Gilibert 2014: 36). In conclusion, comparisons allow us to confidently
situate the lions from the Elbistan plain between the 11th and the beginning of the 10th century BC, although an
earlier dating to the 12th or a later one to the advanced 10th centuries BC cannot be fully excluded. 3.1. Method and Aims 14: Distribution of settlements in the Elbistan basin with the indication of the region’s planar surfaces within the interval from
0° to 6° slope. 3.1. Method and Aims As mentioned, the portal lions of Arslantaş, Sevdiliköy, and Hunu represent unique and original evidence of
the cultural milieu at the beginning of the Iron Age. However, their uniqueness, as well as the absence of inscrip-
tions and associated archaeological context, have also inevitably misled their interpretation and the reconstruc-
tion of their historical significance. Yet when these monuments are plotted on a map alongside other archaeologi-
cal evidence of the Elbistan region, their positioning is tremendously evocative (Fig. 14). They are located either
at the foot slopes of the surrounding towering massifs (Sevdiliköy and Hunu) or on top of the natural depression
between the foothills of the Anti-Taurus and the rough mountains dividing the Ceyhan river’s headwaters and the
Tohma river basin (Arslantaş). In the light of these premises, a legitimate question arises: how can their outstanding topographic prominences
be used to better understand the monuments’ function and historical significance? And consequently: how can we
formally deal with the problem of conferring a specific significance to a place beyond our simple subjective percep-
tion? Here we discuss how to define an explanatory formal model capable of outlining the main landscape features
of the Elbistan basin and its archaeological evidence. This relies on an array of quantitative methods and tech-
niques that are nowadays quite common in GIS Science (Tilley 1994; Llobera 2001; De Reu et al. 2013). In order to answer basic geo-historical questions, such as ‘where?’ and ‘why there?’ (Baker 2003: 37-44), two
different yet interconnected approaches contribute to defining this model. First, the archaeological spatial pattern
of the Elbistan basin will be outlined in order to evaluate if the lions’ positioning might share affinities and dis-
crepancies with the distribution of settlements within the same region. Second, the function and the topographic
prominence of the lions will be evaluated within Elbistan’s historical mobility network, as well as in relation to the
geomorphological characters of their surrounding territories. 58 Francesco Di Filippo, Federico Manuelli Fig. 14: Distribution of settlements in the Elbistan basin with the indication of the region’s planar surfaces within the interval from
0° to 6° slope. Fig. 14: Distribution of settlements in the Elbistan basin with the indication of the region’s planar surfaces within the interval from
0° to 6° slope. Fig. 3.2. On the Lions’ Positioning (‘Where?’) The Elbistan region is an intermontane plain located in the western part of the eastern Taurides. It repre-
sents an embedded basin with a generally level floor almost entirely ringed by steep mountains reaching altitudes
between 2000 and 3000 meters. The extensive ranges of the Binboğa massif enclose the western side of the plain,
while the steep slopes of the Hizanlı and Nurhak mountains mark natural borders respectively to the north and to
the east. The southern edge of the Elbistan plain is bordered by the Berit Dağ massif. In contrast to the rugged geo-
morphological nature of the surrounding mountains, the basin floor shows a high degree of uniformity. Its lower
parts lie at about 1100 meters a.s.l. and, with the exclusion of the Soluk hills in the middle of the plain, the land is
generally flat or gently sloping.h This sharp distinction between plain and mountains also marks a fundamental characteristic in Elbistan’s
long-lasting settlement history. Indeed, all the pre-classical mounds so far known seem to be located exclusively
within the floor-plain (Çifçi, Greaves 2010). In order to formally support this assumption and to minimize subjec-
tive decisions, we first focus on the problem of the quantitative definition of plain areas within the study region. Despite the fact that several geomorphometric semi-automated approaches might help in recognizing such a land- 59 Hic sunt leones form (e.g., r.geomorphon or Topographic Position Index), we still preferred to follow a simpler method based on
empirical observations. Indeed, since the slope gradient of the terrain can be assumed as the basic criterion to out-
line relatively flat areas, it can be estimated that all terrains within the range between 0 and 6 degrees of slope can
be safely considered plains. At first glance, this threshold value could appear subjective. It actually relies on the
synthesis of different criteria that have been inferred from the survey of physical terrain conditions and comparable
factors resulting from secondary literature (Veselský et al. 2015: 802-803; Di Filippo, Mori 2018: 51-53). This allowed us to assemble a set of continuous planar surfaces derived from an SRTM DEM at 30 meters res-
olution through the multi-scale analysis of slope gradient geomorphometric variables.7 The results, displayed in Fig. 14, confirm that all the identified settlements do indeed lay inside the Elbistan basin flat area. 7 GRASS GIS r.param.scale module, morphometric parameter = slope (Veselský et al. 2015: 802-803). 3.2. On the Lions’ Positioning (‘Where?’) Moreover, 24 of the
28 sites are located at no more than 2000 meters distance from the plain border. This limit is represented by the
proper landform perimeter or by further reliefs inside the plain itself, i.e. the Soluk hills at the center of the basin.h This picture is truly revealing when we focus on the geology of the Elbistan basin, which allows us to out-
line an even more solid relationship between landscape and the distribution of sites. Almost all the settlements are
located in geological areas characterized by alluvial plain sediments originating from recent stream beds (Fig. 15). More precisely, these settlements spread out across the geological interface between recent stream beds (Holocene
fluvial sediments) and more ancient sequences of Pleistocene sediments composed of conglomerate, sandstone, silt-
stone, and mudstones with abundant calcretes, which generally lay at a higher elevation (Yusufoğlu 2013). Fig. 15: Relationship between the sites’ distribution and geology in the study area. Adapted from: Yusufoğlu 2013: 311, courtesy of
Halil Yusufoğlu. Fig. 15: Relationship between the sites’ distribution and geology in the study area. Adapted from: Yusufoğlu 2013: 311, courtesy of
Halil Yusufoğlu. Fig. 15: Relationship between the sites’ distribution and geology in the study area. Adapted from: Yusufoğlu 2013: 311, courtesy of
Halil Yusufoğlu. Fig. 15: Relationship between the sites’ distribution and geology in the study area. Adapted from: Yusufoğlu 2013: 311, courtesy of
Halil Yusufoğlu. 60 Francesco Di Filippo, Federico Manuelli Francesco Di Filippo, Federico Manuelli Francesco Di Filippo, Federico Manuelli This preference in the choice of settlement location can be safely considered the main feature of the sites’ dis-
tribution in the Elbistan plain. The majority of the settlements (17) are located less than 300 meters apart from the
geological interface formed by recent fluvial sediments cut into the more ancient Pleistocene sequences. In other
words, most of the archaeological sites, and more significantly those with the longest occupation sequences, are
located on natural elevations such as rocky spurs, platforms, or terraces, overlooking the underlying watercours-
es (e.g., Merikli, Tedevin, Til Afşin, and Yassıhöyük; cf. Brown 1967). As a consequence, there is also a notice-
able relationship between the mounds’ distribution and the network of watercourses (Konyar 2011; Çifçi, Greaves
2010). If one considers exclusively the permanent streams, i.e. those with significant and steady flows, 18 settle-
ments are located at no more than 750 meters from them. 3.2. On the Lions’ Positioning (‘Where?’) Yet if the overall hydrologic system is taken into consid-
eration, also including the minor streams, seasonal tributaries, and possibly springs, all the locations are character-
ized by a considerable availability of water resources. Summing these data up, the archaeological settlements in the Elbistan basin follow a clear and coherent distri-
bution pattern. The sites, dated from the Chalcolithic to the Iron Age, seem to be deeply influenced by the natural
environment. They are located exclusively in the basin’s relatively flat area, within the ecological interface character-
ized by gradients from 0 to 6 slope degrees. Moreover, they lie at the fringes of recent geological areas originating
from fluvial accumulation of Holocene stream beds, showing a tight relationship with the network of the basin’s
watercourses. In this context, the fact that the sculpted lions are located along the outer limit of Elbistan’s inhabited region
marks a fundamental difference from the proper settlements, and the two sets of archaeological evidence clearly
follow distinctive, seemingly opposite distribution patterns. f Furthermore, the picture also helps to identify a sharp distinction between the different sets of lions. Indeed,
Sevdiliköy is located at more than 16 kilometers from the closest Holocenic formation and more than 2 kilometers
apart from the nearest major watercourse. A similar trend seems to be shown at Arslantaş. Despite the fact that
compared to Sevdiliköy the location is closer to the basin’s recent fluvial sediments (c. 3 kilometers), it still lies
about 4800 meters from the steady stream. Hunu, conversely, shows some discrepancies from either Arslantaş or
Sevdiliköy. The findspot of Hunu’s lion (i.e., the village of Arıtaş Höyük) exactly mirrors the main features of the
other settlements of the region. It is located at the intersection of the geological interface between recent stream
beds and more ancient sediments (Dumankaya, Topaloğlu 2017: Fig. 7), at the western limit of the relatively flat
surface of the basin (c. 1293 meters a.s.l.), and in close connection with one of the major western branches of the
Hurman river. In short, it possesses all the features emphasized for the ‘living’ settlements rather than those shared
by Arslantaş and Sevdiliköy.h The comparison of the distribution pattern of settlements and portal lions seems to show that the lack of any
contemporary remains in both Arslantaş and Sevdiliköy is not due to either the dearth of archaeological research
or unknown historical circumstances. 3.2. On the Lions’ Positioning (‘Where?’) Instead, it confirms that these lions are open-air monuments, intentionally
conceived to be erected in the open country, without any direct relationship with any coevally inhabited center
nearby. 8 The place-name Alhazli/y has disappeared nowadays, but was mentioned until the beginning of the 20th century AD (Ramsey 1890:
273; Naval Staff 1919: route 86; Maunsell 1902; Kiepert 1904-1907; 1913).
9 Computed pathways have been balanced through travel times given by Sterret (1888: 299). For this region, a perfect match between
real and generated pathways occurs when the spreading algorithm (r.walk) considers exclusively the rate of change of the original
DEM (i.e., slope) and no friction parameters are provided. 3.3. On the Lions’ Function (‘Why There?’) The reconstruction of ancient mobility through computational techniques (i.e., the Cost Surface Analysis and
the Least Cost Pathways) is nowadays routinely applied in the field of historical research (Llobera 2000; Surface-
Evans, White 2012; Polla, Verhagen 2014). Its primary purpose concerns the development of ‘predictive models’ that
may help us to understand the nature and development of ancient road systems. Even more significantly, as a recon-
naissance tool, this array of techniques provides a means by which geographically-based research problems can be
examined, serving as a method of hypothesis validation (Newhard, Levine, Rutherford 2008: 99-101; Bevan 2011).h Therefore, the analysis here proposed starts by examining an aspect that has already been highlighted by the
reports of travelers and explorers who crossed the Elbistan plain at the turn of the 20th century AD: the impor- 61 Hic sunt leones tance of the places where the lions were erected in the framework of an interregional communication system. For
instance, Arslantaş is reported to mark the southern border of the Sivas province (Hogarth, Munro 1893: 644) or,
more often, is described as a landmark along the path that leads to Derende (Ramsay, Hogarth 1893: 96; Maun-
sell 1902). As far as Sevdiliköy is concerned, the existence of the monument was still unknown at the time of
the above-mentioned early surveys. Nonetheless, the location was already known at the end of the 19th century
AD as Alhazli/y and was referred to as the fundamental hub in the network of communication to the Malatya
region (Ramsey 1890: 273; Maunsell 1902; Kiepert 1913).8 Interestingly, these early descriptions agree significant-
ly, depicting the locations of these open-air monuments as liminal spaces at the fringes of the inhabited plain on
crossroads along the major pathways connecting Elbistan with the Tohma Su and Malatya basins. g
j
p
y
g
y
Taking this as a starting point, we have processed a set of computed routes through the combination of the
r.walk and r.drain modules implemented in GRASS GIS. Considering the computed mobility network that joins
the main Iron Age center of the plain (Karahöyük), to the coeval sites located just beyond the massifs ringing the
Elbistan’s basin (Meriggi 1966; Kontani et al. 2012), the peculiar location of the lion sculptures stands out (Fig. 3.3. On the Lions’ Function (‘Why There?’) It is worth noting that these
generated tracks correspond quite precisely to those described by ancient geographers and travelers. The first track
follows a system of narrow valleys that connects Sevdiliköy to the course of the Tohma Su, near Kötükale, from
where a road is reported to reach Malatya (Ramsey 1890: 273). A second route, apparently the easier one, crosses
the mountains from Alhazli (roughly corresponding to modern Sevdiliköy) and reaches Arga (modern Akçadağ),
at the western foot slopes of the Malatya plain (Ramsey 1890: 273-274; Naval Staff 1919: route 86 alternative). The last track allows a crossing of the Nurhak range via the mountain pass of Ola Kaya (Sterret 1888: 299; Ram-
sey 1890: 273), or across the southern pass of Devrent Gedick (Naval Staff 1919: route 86).10 These variances join
again descending towards the region of Polat (i.e., Ören Höyük, see Meriggi 1966).11 g
g
g
y
gg
Moreover, the topographic relevance of Sevdiliköy in the framework of the interaction of the Elbistan plain
with the eastern regions is especially visible when considering its geomorphometric variables (Fig. 17). The Sevdi-
liköy crossroad is precisely located at the eastern margin of the Elbistan plain, where routes running eastward con-
verge on the banks of the Söğütlü stream, some 2 kilometers south of the rock outcrop where the lion sculptures
stand. This crossroad lies within an area of small plains located at the foot slopes of the Nurhak range. Just beyond
it, a natural break of the Sügültü river gives access to a system of narrow U-shaped valleys that traverses the range
in its entirety.12 This ‘entrance’ represents the most suitable natural passageways across the mountains. l h
g
As far as Arslantaş is concerned, the site is located on the wide and almost flat saddle that links the Elbi-
stan plain to the Tohma Su basin. From the south, this geological formation is accessed following the course
of the Sarsap stream, along a route flanked by the impressive, albeit quite enigmatic, Dikilitaş monument, ‘a
rectangular monolith 5 meters high, set erect in a large block on a spur of the Karajik Dagh, visible from every
part of the Elbistan Ovasi’ (von der Osten 1930: 108 and Fig. 116). 10 The Ola Kaya peak appears in the form Alaja in the map-series ‘Eastern Turkey in Asia’ (Maunsell 1902). Today it should be the
Öğlekayasi Tepesi (N 38°12′57″ E 37°49′25″, https://www.geonames.org/10483853/oeglekayasi-tepesi.html). The Devret Gedick
modern toponym features as Derbent Dağı (N 38°11′00″ E 37°45′00″, https://www.geonames.org/317081/derbent-dagi.html).
11 The computed routes do not stop at Polat but continue up to Oren Höyük. It is the first site with a documented Iron Age sequence
after the steep descent (Meriggi 1966).
12 Two different quantitative approaches for semi-automated recognition of landform classes, r.geomorphon (Jasiewicz, Stepinski
2013) and the Topographic Position Index (Jenness 2006; De Reu et al. 2013), roughly outline the same results for the study area
(Fig. 17). 3.3. On the Lions’ Function (‘Why There?’) 16).9 Taking this as a starting point, we have processed a set of computed routes through the combination of the
r.walk and r.drain modules implemented in GRASS GIS. Considering the computed mobility network that joins
the main Iron Age center of the plain (Karahöyük), to the coeval sites located just beyond the massifs ringing the
Elbistan’s basin (Meriggi 1966; Kontani et al. 2012), the peculiar location of the lion sculptures stands out (Fig. 16).9
In a general framework, Arslantaş and Sevdiliköy are both considerably far away from any plausible inner road
system of the plain, which instead seems to accord quite precisely with the web of inner watercourses. In contrast,
h
h d b
h
h
l d f
h
l
h
hb In a general framework, Arslantaş and Sevdiliköy are both considerably far away from any plausible inner road
system of the plain, which instead seems to accord quite precisely with the web of inner watercourses. In contrast,
they are touched by the routes that lead from the plain to the neighboring regions. Fig. 16: Mobility pattern from Elbistan toward nearby basins with the indication of computed pathways and related isochrones. 62 Francesco Di Filippo, Federico Manuelli Francesco Di Filippo, Federico Manuelli Francesco Di Filippo, Federico Manuelli Only a few general considerations can be raised about Hunu. Its location, lying at the foot slopes of the steep
Binboğa range, clearly has no close relationship with the main route leading out of the Elbistan basin. Even by forcing
the algorithm parameters in order to find a suitable track across the Binboğa (e.g., from Hunu to Kemer), bypassing
the massif turns out to be more convenient in terms of travel time than crossing its arduous mountain tracks. g
Entering now into more detail of the locations of Arslantaş and Sevdiliköy, the perceptions of the early 20th
century travelers mentioned above seems to be fully confirmed by the computational analysis. h The lions from Sevdiliköy are located at the intersection of an array of computed routes leading eastward and
crossing the Nurhak range in the direction of the plains of Sultan Suyu and Malatya. This area shows the char-
acteristics of a proper crossroad, since it is located just before the paths which allow passage through the moun-
tains. From Sevdiliköy three different routes allow a crossing of the Nurhak range. 3.3. On the Lions’ Function (‘Why There?’) Since the discovery of the Arslantaş lions,
early topographic maps (Maunsell 1902; Kiepert 1904-1907) and itinerary accounts have reported the presence
of this monument and its significance as a primary node of the communication routes crossing this stretch of
the Anti-Taurus. The computational analysis interestingly confirms the perception of 19th century AD reports. It also supports the supposition that, at least during the past century, Arslantaş constituted a hub from which
a set of individual roads departed to different locations into the Tohma Su basin, such as Gürün and Ispekçür
(Fig. 18). The topographic prominence of Arslantaş is defined by completely different landscape features when compared
to Sevdiliköy, showing different geo-morphometric variables. These do not allow us to identify meaningful land-
form features that may have prompted the efforts to build the monument in that spot. A potential key to the inter-
pretation comes instead from a further geographical description provided by an unknown explorer at the begin- 63 Hic sunt leones Fig. 17: Location and morphology of the ‘natural passageways’ through the Nurhak range. Fig. 17: Location and morphology of the ‘natural passageways’ through the Nurhak range. Fig. 18: The role of Arslantaş within the intermontane system of communication between the 19th and 20th centuries AD (approxi-
mate scale 1:550,000). Adapted from Maunsell 1902 (left) and Kiepert 1913 (right). Fig. 18: The role of Arslantaş within the intermontane system of communication between the 19th and 20th centuries AD (approxi-
mate scale 1:550,000). Adapted from Maunsell 1902 (left) and Kiepert 1913 (right). 64 Francesco Di Filippo, Federico Manuelli Francesco Di Filippo, Federico Manuelli ning of the 20th century AD, which says: ‘Arslan Tash, alt. 4,900 ft.; carved stone lions of Hittite origin. Here is
the watershed between the Jihan and the Euphrates’ (Naval Staff 1919: route 85). On this basis, once we identify the Elbistan watershed areas (hydrologic basins) through the r.watershed analy-
sis (GRASS GIS) and plot them on the map alongside the location of the Iron Age sites, the topographic relevance
of the Arslantaş lions emerges (Fig. 19). They are located precisely on the major drainage divide between the Toh-
ma Su and Ceyhan hydrological basins. In general geographical terms, water basins are areas that act like funnels by collecting and draining off pre-
cipitation into common outlets (e.g., rivers or lakes). 4. DISCUSSION: THE ROLE AND MESSAGE OF THE LIONS 4. DISCUSSION: THE ROLE AND MESSAGE OF THE LIONS For a full understanding of the role covered by the lions of the Elbistan plain, two further factors and charac-
teristics should be briefly considered. First, they represent a gate, if only symbolically, entailing the existence of a
threshold or passage. Second, the iconographic choice of lion images is meaningful. g
g
g
g
The symbolic role of gates in the public architecture of the Ancient Near Eastern world has been stressed by
many scholars, mostly by analysing textual and iconographic sources (May 2014). In the Syro-Anatolian region of
the late 2nd and early 1st millennium BC, city-gates, temple-gates or palace-gates were the main public spaces inside
the settlements where ceremonies and rites were performed and the royal power displayed (Wilhelm 2011: 103-
105; Miller 2012; Manuelli, Mori 2016: 211, 227). This is further underlined when we consider the message con-
veyed by the image of lions. The link between lion iconography and ideological and religious aspects is well known
since the end of the 4th millennium BC in Mesopotamia (Peyronel 2019). This is even more evident during the
Hittite period, when the lion became the embodiment of the physical, military and political power of the kingship,
reinforcing the relationship between the deities and the king (Collins 1998). In this context, the monumental guardians placed at the gates of the Hittite capital, and later wholesale
adopted by the Neo-Hittite kingdoms, stood as proper symbols of the royal power (Collins 2004: 84; Pucci 2015:
62-63). They represented the subjugation of the wild world by the royalty and the town. As boundaries between
the savage nature and the cities, their passage entailed the act of coming under the care of the gods and the control
of the rulers (Mazzoni 1997: 294-295). The fact that these spaces were guarded by lions implied that in passing
these figures one switched from being threatened by them to being protected by the self-same guardians, having
moved from outside, i.e. the place of confrontation and threat, to the inside, i.e. the space the lions dominated and
protected (Strawn 2001: 315-316). 13 Actually, while kapı is the common Turkish word for ‘gate’, the origin of kürki should probably be traced back to the Armenian term
kürk/gürk which means ‘statue’ or ‘idol’ (Scheinhardt 1979). It leads to the equally fascinating meaning ‘the gate of the statue/idol’. 3.3. On the Lions’ Function (‘Why There?’) This implies that Arslantaş is characterized as an area that,
in spite of the weather conditions, is always virtually free from significant flooding hazards. Looking at the portal
lions in the context of the mobility network to and from the Elbistan plain, it is reasonable to expect that they pos-
sess such a characteristic. Moreover, since adjacent watersheds are separated from each other by some physical features at higher eleva-
tions (i.e., ridges), this computational process allows us to highlight a piece of further significant landscape evi-
dence. In terms of landforms, the wide saddle where Arslantaş is located is defined by such a narrow slope gradient
that even the r.param.scale algorithm could not fully distinguish it from the proper plain of the basin (Fig. 14). Yet
as the watershed analysis clearly indicates, Arslantaş is precisely on top of an important drainage divide, a physical
feature allegedly represented by a nearly imperceptible ridge, just slightly higher than the surrounding landscape. This distinctive environmental trait must have profoundly impacted this place’s significance, conferring it a power
that persisted across the millennia relating to the use of surface water by local communities. As in the case of other
morphologically and geologically distinct localities, such as rivers, mountain peaks, sinkholes, or springs, this area
holds the geographical characteristics of a borderland. It is not surprising that at the end of the 19th century AD,
Arslantaş was still referred to as the southern edge of the Sivas province (Hogarth, Munro 1893: 644). It is highly
reasonable that at the beginning of the 1st millennium BC, this evocative place was already similarly perceived as
the northern border of the Elbistan cultural landscape. Fig. 19: The Elbistan main hydrologic basins system. Fig. 19: The Elbistan main hydrologic basins system. 65 Hic sunt leones 4. DISCUSSION: THE ROLE AND MESSAGE OF THE LIONS 66 Francesco Di Filippo, Federico Manuelli Francesco Di Filippo, Federico Manuelli In a wider context, the process of displaying political and ideological power through the erection of landscape
stone monuments was already fully established in Anatolia during the Hittite imperial period (Glatz 2021: 158-
174). In this context, rock sculptures and inscriptions were located in geologically evocative places and served the
specific purpose of establishing colonial claims to borderland territories (Harmanşah 2017: 40-43). i
During the Iron Age, a proliferation of stone monumental art is instead attested especially through the archi-
tectural decoration of outer facades and gates as well as the innermost spaces of the temples. These monuments
were marked by a strong continuity with the Hittite prototypes, revealing the intent of the new ruling classes to
adhere to an already codified idea of political power (Mazzoni 2013: 472-473; Feldman 2014: 67-72). As a matter
of fact, with the breakdown of the Hittite supremacy, the disputes over the inner frontiers ceased and the appro-
priation of places of power was only partially resumed by the elites of the newly created Iron Age regional states
(Harmanşah 2011: 57-61). Indeed, the free-standing lions of the Elbistan plain follow new and original trajectories
compared to the ancestral heritage of the Hittite Empire. They follow a uniform line of development evidenced
by the adoption of the same uninscribed figurative repertoire, which indicates a program conceived as a coherent
whole. Moreover, if during the Late Bronze Age places with strong, distinct geological traits such as sinkholes,
springs, mountain peaks, caves, or rock outcrops were preferred, the new program overturns this convention in
favor of new locations whose significance was embedded in the physical features of the landscape itself as well as
emphasized by the presence of specific networks of communication. p
y
p
pi
Considering the ‘virtual’ nature of the gates guarded by protecting figures and the fact that they were always
erected at important road junctions, the interpretation of the lions of the Elbistan plain as proper boundary monu-
ments, instead of simple landmarks, seems to be highly reasonable. The concept does not of course imply the adop-
tion of a modern notion of border, in the sense of an imagined cartographic feature embracing a finite, abstract,
and quantifiable geo-political entity (Harmanşah 2017: 38-40). 4. DISCUSSION: THE ROLE AND MESSAGE OF THE LIONS Despite the ‘virtual’ nature of the portal lions from the Elbistan plain, and the fact that they are not concretely asso-
ciated with any city, citadel, palace or temple gates, the message behind their erection could not have been any different.h f
The landscape analysis proposed here has also allowed us a better evaluation of this message, demonstrating
that the position of the lions is not random. Their locations share all the earmarks of liminal spaces, borderlands,
places of significance within the contemporary geographical perception, where the hubs of the interregional com-
munication network intersected prominent features of the physical landscape. It is therefore not surprising that
these passages were shaped into the form of open-air monumental gateways, thus blending the concepts of thresh-
old and border alike.hh The Arlantaş lions were located in the open country, in a highly strategic position. This location corresponds
to the highest spot of the plateau where a set of interregional routes converges, on the natural border formed by
the drainage divide between the major hydrological basins of the Tohma Su and Ceyhan. Likewise, the lions from
Sevdiliköy have been erected in an area of great topographic prominence, corresponding to the eastern margin of
the Elbistan plain, on a natural borderland that allows monitoring of the entrance of the pathways to and from
Malatya. Interestingly, the inhabitants of the Turko-Kurdish community of the Sevdili village refer to the out-
crop where the lions have been found with the toponym Kürki Kapı, which they assume means ‘the gate of the
mountain’.13 As far as the Hunu lion is concerned, the fact that the sculpture comes from a site where only Roman remains
have been discovered cannot be neglected (Dumankaya, Topaloğlu 2017: 291). Considering that the lion has cer-
tainly been reused, it seems highly reasonable to state that Arıtaş Höyük does not represent its primary archaeo-
logical context, rather the sculpture was displaced there in antiquity. It is in any case clear that its original location
could not be far away from the site of discovery, leading to the assumption that the lion was positioned, probably
together with a second sculpture, on a spot which gave access to the Elbistan territory from the west in the vicinity
of Tanır or Afşin. 4. DISCUSSION: THE ROLE AND MESSAGE OF THE LIONS Indeed, they were not necessarily thought to be
placed along a line on a map separating two different controlled and organized areas; rather they marked impor-
tant places within the cultural landscape, entailing a deep knowledge and awareness of the territory. In the light of this, an interesting parallel can be found, even on a smaller scale, with the case of the early Neo-
Assyrian expansion that preceded the provincialization period of the 8th century BC. This phenomenon was boldly
outlined by M. Liverani (1988), following the assumption that the Assyrian territorial control of fringe zones ini-
tially did not spread systematically and uniformly (the ‘oil-stain’ paradigm), but rather was based on the control of a
host of communication nodes ordered into a network system. The Assyrians’ repeated campaigns then had the pur-
pose of either thickening the meshes of this pre-existing network or setting up further branches of the system at a
greater distance. Despite the obvious differences, it might be speculated that the monumentalization of some signifi-
cant places in the Elbistan plain may represent an analogous attempt at thickening the webs of a pre-existing road
system, the borders of which were not outlined by imagined cartographic features and finite geo-political spaces.ih i
With this in mind, a final obvious question arises: how and by whom were these lions erected? There can be no
doubt that these sculptures were made by skilled stonemasons and sculptors. At the same time, it goes without saying
that quarrying, sculpting and transporting the rough-hewed blocks, as well as performing their final carving and posi-
tioning, required a considerable manpower (Seeher 2009: 120-125; Summers, Özel 2012: 515-516). Hence, it is hard
not to think that this work was organized and executed under the auspices of a certain prominent political power. In conclusion, two main hypotheses can be discussed in this regard. Considering their dating, it can be sup-
posed that the lions represent either the evidence of the existence of an independent local power in the 12th centu-
ry BC or the consequence of the expansion of the kingdom of Malizi after its conquest of the Elbistan region from
the c. 11th century BC. 5. HISTORICAL PERSPECTIVES g
The stele was found during the one-year intensive investigation conducted at the Elbistan-Karahöyük set-
tlement in 1947 (Özgüç, Özgüç 1949: 66-72). It was erected in a large open area and found in association with
ash deposits and animal bones, leading to the interpretation that this was a public space characterized by cult
activities and feastings (Harmanşah 2011: 65-68).14 Remarkably, the hieroglyphic Luwian signs POCULUM. PES.L.67 (REGIO) carved on the stele designate, without any doubt, the land of Elbistan and probably the city
of Karahöyük itself, but the reading of this toponym is completely unknown (Hawkins, Weeden 2017: 289). As
mentioned, the supposition that Karahöyük was the epicenter of a political entity based in the Elbistan territory
is further supported by the evidence that the site stands out as the single largest documented mound in the whole
region (Çifçi, Greaves 2010: 93). g
Ç
The presence of the stele at the site as well as its dating, context of discovery and subject support the pres-
ence of a local authority in this region during the 12th century BC with its capital at Karahöyük. With this is
mind, the lion sculptures positioned at the borders of the Elbistan plain can certainly represent material evidence
of this political power, marking the access to and from its territory. This is also supported by the fact that, as men-
tioned, the lions show a proper style of their own and are marked by some specific characteristics that have been
not observed so far in any other of the renowned Syro-Anatolian sculptural cycles. y
y
p
y
Alternatively, a further although remote possibility is to associate the erection of the lions with the events that
affected the nearby kingdom of Malizi/Melid (Hawkins 2000: 282-329). The latter had its capital at the site of
Arslantepe and its domain extending to the Malatya plain and the surrounding western valleys, north-eastward
of Elbistan (Di Filippo, Mori 2019). Two quite similar bas-reliefs brought to light at Arslantepe and both dated to
the 12th century BC, i.e. MALATYA 9 and MALATYA 10, respectively show the Storm God of the city POCU-
LUM and of the city Malizi receiving libations (Hawkins 2000: 320-322; Hawkins, Weeden 2017: 289; Manuel-
li 2019). 5. HISTORICAL PERSPECTIVES The role of the Elbistan plain in the political scenario of the last centuries of the 2nd millennium BC is gener-
ally considered, by the scholarship, strictly connected to the issue concerning the genealogical line of the ‘Great 67 Hic sunt leones King’ Ir-Tešub, named on the stele found at the site Karahöyük (Özgüç, Özgüç 1949: 69-72). Paleographically,
this dates to sometimes in the 12th century BC, since it shows similarities with the late-13th century BC inscrip-
tions known from the southern Anatolian plateau. This lead scholars to assume a derivation of Ir-Tešub from the
ruling dynasty at Tarḫuntašša (Hawkins 2000: 287-289; Hawkins, Weeden 2016: 10-11; Hawkins, Weeden 2017:
288-289). On the other hand, many arguments have also recently been raised to support a possible association of
this ruler with the genealogy of kings of Karkemiš (Giusfredi 2010: 41-43; Harmanşah 2011: 65-69; Bryce 2012:
85-87; Simon 2013: 824-826). King’ Ir-Tešub, named on the stele found at the site Karahöyük (Özgüç, Özgüç 1949: 69-72). Paleographically,
this dates to sometimes in the 12th century BC, since it shows similarities with the late-13th century BC inscrip-
tions known from the southern Anatolian plateau. This lead scholars to assume a derivation of Ir-Tešub from the
ruling dynasty at Tarḫuntašša (Hawkins 2000: 287-289; Hawkins, Weeden 2016: 10-11; Hawkins, Weeden 2017:
288-289). On the other hand, many arguments have also recently been raised to support a possible association of
this ruler with the genealogy of kings of Karkemiš (Giusfredi 2010: 41-43; Harmanşah 2011: 65-69; Bryce 2012:
85-87; Simon 2013: 824-826). )
It is noteworthy that scholars working on this topic have almost exclusively focused their attention on under-
standing which cultural or political entity, i.e. Tarḫuntašša or Karkemiš, might have indirectly shown its power
through this monument, entailing an influence or control over the Elbistan plain during the 12th century BC. But
the Karahöyük stele also testifies to the irrefutable existence of a local authority during this period. The inscrip-
tion is dedicated to the Storm God of the land POCULUM by the local ruler Armananis, called the ‘Lord of
the Pithos-Men’, and it commemorates the visit into this territory by the above-mentioned ‘Great King’, further
describing the condition of the land and the donation of cities at the time of this event (Hawkins 2000: 288-295). 14 Despite providing new important data about the Iron Age occupation at the site, the new round of investigations conducted at
Elbistan-Karahöyük since 2015 have not yet supplied specific information related to the context of discovery of the stele (Uysal, Çifçi
2019: 411-412). 5. HISTORICAL PERSPECTIVES The fact that the Storm God of the city POCULUM, which most probably corresponds to Karahöyük
itself, was worshiped by a local ruler of the kingdom of Malizi on an official monument found in its capital is of
course remarkable. It entails on the one hand the relevance that the city of Karahöyük and its territory had in the
scenario of the Syro-Anatolian states at the beginning of the Iron Age, and on the other hand the strong cultural,
religious, and political relationships linking the regions of Elbistan and Malatya.h g
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The so-called stele from Izgın shows instead how things had already changed during the 11th century BC. It
has been found reused as a headstone in the cemetery of the namesake village, ca. 2 km southwest of Karahöyük
itself. It describes the extension of the borders of the kingdom of Malizi, celebrating the building of new cities and
the settlement of people by a local ruler called Taras (Hawkins 2000: 314-318). Considering its location it seems 68 Francesco Di Filippo, Federico Manuelli Francesco Di Filippo, Federico Manuelli quite obvious that the stele commemorates the colonization and annexation of the Elbistan region into the Malizi
realm (Alparslan 2017: 214; Hawkins, Weeden 2017: 289). The perpetuation of this relationship, or at least the
fact that from time to time the kingdom of Malizi extended its domain into this region, is testified by the later
inscription from Tanır. Located on a natural rock in proximity to a spring source and along an important pass that
connects the Elbistan plain to the west, the inscription, tentatively dated to the 9th-8th century BC, mentions the
name of the city Malizi and contains a badly preserved group of signs probably indicating the name of one of its
rulers (Doǧan-Alparslan, Alparslan 2013). In summary, despite the fact that it fails to provide an adequate historical context and explanation for the
uniqueness of this phenomenon, the hypothesis that the lions erected around the Elbistan plain were a manifesta-
tion of the control exerted by the kingdom of Malizi over this territory from the 11th century BC onwards cannot
be completely excluded. ACKNOWLEDGMENTS We are deeply thankful to Tayfun Bilgin for having given us the permit to include in this article photographs
from his archive of Arlantaş, Sevdiliköy, and Hunu (www.hittitemonuments.com, v. 1.72). We are equally indebted
to Gül Eralp Kania for having allowed us to use the original pictures of her study on Sevdiliköy, and to Halil
Yusufoğlu for the use of the map reproduced at Fig. 15. Special appreciation is also due to the John Henry Haynes
archive of the Special Collections of the Fine Arts Library at Harvard University for the permit to publish the
photograph reproduced at Fig. 1. We are grateful to Rana Zaher for having accepted to and succeeded in draw-
ing the lions from available published material. For their help and precious advice offered during several phases of
this study, we would like to thank Metin Batıhan, Elizabeth Carter, Ali Çifçi, Valentina D’Amico, Christian W. Hess and Mehmet Usta. Part of this research has been realized in the framework of the project ‘Beyond the Crisis’
funded by the German Research Foundation (DFG project #324049112). Francesco Di Filippo wrote the land-
scape analysis and Federico Manuelli the part on iconography and style, both authors contributed to writing the
introduction, the discussion, and the conclusions. Maps have been generated by Francesco Di Filippo using QGIS. 5. HISTORICAL PERSPECTIVES h p
The fact that the sculptures show only few iconographic and stylistic similarities with the set of lions’ represen-
tations known from Arslantepe can certainly suggest the existence of some more provincial production, as well as
the employment of different craftsmen and workshops. Indeed, differences in iconographic models and details are
in general recognizable when the images carved on the reliefs from Arslantepe are compared with contemporary
artworks visible on the monuments coming from the territory around the site, such as Ispekçür and Darende (Poli
2008: 258-264). To conclude, there are more than a few points concerning the fascinating phenomenon of the free-standing
lions of the Elbistan plain that still need further explanation. However, this study has established their promi-
nence and uniqueness within the artistic scenario of the Syro-Anatolian world of the late-2nd and early-1st millen-
nium BC, showing their important role as boundary monuments marking essential places of the cultural land-
scape. Moreover, the analysis has clearly demonstrated how computational spatial models can efficiently be applied
to iconographic and stylistic aspects in order to provide fresh new data that help to answer complex and unsolved
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ologique Internationale at Barcelona, 26-30 July 2010, Winona Lake, Eisenbrauns: 823-832. J. R. S. 1888, An Epigraphical Journey in Asia Minor, Boston, Damrell & Upham. Surface-Evans S. L., White D. A. 2012, Least Cost Analysis of Social Landscapes, Salt Lake City, The University of
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Effectiveness of Mangrove Forest as Coastal Protection along the West Coast of Northern Peninsular Malaysia
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1 Introduction The effectiveness of mangrove forest as coastal protection
in front of the coastal area was evidenced during the IOT
2004 [8]. The coastal properties without any protection
were completely destroyed by the tsunami wave. Figure 1
illustrates how mangrove forest helps to dissipate the wave
energy, hence, reducing the impact along the coastal area
[9]. The importance and benefits offered by mangroves
have encouraged increasing number of related research. There had been numerous mangrove rehabilitation
programs and replanting initiatives for protection at
affected area organized by various agencies. Effectiveness of Mangrove Forest as Coastal Protection along the West
Coast of Northern Peninsular Malaysia Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak. Abstract. The effectiveness of mangrove forest as coastal protection was evidenced during Indian Ocean Tsunami
(IOT) on 24th December 2004. This paper presents the assessment on the characteristics and distribution of the
mangrove forest along three northern states (Perlis, Kedah and Perak) affected by IOT 2004. At each site, the
characteristics of individual tree were recorded including their species, height and diameter at breast height (DBH). A
total of 52 matured trees were sampled that encompassing four species; A. marina (n=21), A. alba (n=7), R. mucronata
(n=20) and R. apiculata (n=4) were found with A. marina as the dominant species. The zonation of mangrove forest
along the northern states revealed that Avicenniacea inhabits the frontal area. The field survey also discovered that
mangrove forest along the states was generally insufficient to protect the coastal area from future tsunami. There were
several rehabilitation programs that had been implemented, but not all replanting efforts were successful. Outcomes
from this research provided invaluable findings for the optimum replanting scheme to ensure acceptable level of
protection along Malaysia’s coastline. a Corresponding author: mustafa_hashim@utp.edu.my © 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/). , 01014 (2017)
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MATEC Web of Conferences DOI: 10.1051/matecconf/20178701014 1.1 Indian Ocean Tsunami 2004 Tsunami is one of the disastrous natural events occurred
and mainly generated by the sliding of the earth's surface,
namely earthquakes. Generally, tsunami is triggered by the
earthquake of magnitude 6.5 and above [1]. Up to 2012,
Japan was recorded as the highest frequency of tsunami
occurrences with 48 events [2]. The most catastrophic event recorded in tsunami
history was the Indian Ocean Tsunami which occurred on
24th December 2004 (IOT 2004). The tsunami waves
reached 13 countries including Indonesia, Sri Lanka, India,
Thailand, Somalia, Burma, Maldives, Malaysia, Tanzania,
Bangladesh and Kenya [3]. The epicentre of the event
occurred at about 30 km off the West Coast of Northern
Sumatra, Indonesia. The 20 m wave height led to about
226,000 deaths and approximately USD 9.93 billion of
economic losses [4,5,6]. The tsunami wave had propagated
to the West Coast of Peninsular Malaysia and affected five
states including Perlis, Pulau Pinang, Kedah, Perak and
Selangor with 63 numbers of total deaths and missing
people reported [7]. However, the optimum approach or technical
strategy for the mangrove replanting scheme is still under
active research. Several factors govern the performance of
mangrove as coastal protection which include species of
the tree, characteristics of tree (height, age, diameter of
stem and root, diameter at breast height), basal area and
also wave characteristics [8,10]. Thus, this paper aim to
assess the characteristics and distribution of the mangrove
forest along the West Coast of Peninsular Malaysia. , 01014 (2017)
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MATEC Web of Conferences DOI: 10.1051/matecconf/20178701014 Figure 1. Wave energy and its impact at coastal area for A. With
mangrove, B. Without mangrove [9]. 2.3.2 Species diversity The ecological approach was used to determine the
diversity of the mangrove forest. The relationship
proposed by Shannon-Weiner (Eq 2) was used to derive
the diversity index. i
P
n
i
i
P
H
ln
1
'
(2) (2) Where; P = n/N n = No of individuals Figure 3. Distribution of mangrove forest in the surveyed
coastlines. 8%
14%
38%
40%
R. apiculata
A. alba
R. mucronata
A. marina N = Total number of mangrove tree 2.2 Data Collection than 10 years. The age was categorized based on the
average height of the trees. The height of the tree greatly
influenced their capabilities to attenuate wave. However,
young mangrove trees below two years old were not
included in this study. They are easily being washed away
and not able to withstand the wave action [8]. The mangrove forest at each site was assessed and the
time, date, coordinate and tide level were recorded. The
random sampling plots (30 x 30 m) were established at
each site. The sampling plots were chosen as a
representative of general mangrove condition for the
accessed area. The selected matured trees found within the
plot were identified. Measurement were carried out
covering chosen trees representing different age groups. The data from selected trees were gathered include species
of mangrove, basal area in m2, height of tree in m, and
diameter at breast height (DBH) in cm. A. marina (40%) was the dominant species found
followed by R. mucronata (38%), A. alba (14%) and R. apiculata (8%) (Figure 3). The types of mangrove found
relate well with general zonation of mangrove forest. Typical zonation of the mangrove forest in Malaysia is
made up of Avicennia sp. or Sonneratia sp. on the
seawards most and followed by Rhizophora sp., Brugueira
sp., Xylocarpus sp., and transitional dryland (Fig 4) [14,
15]. The field investigation found high number of
Avicennia sp. in the visited coastal area. Avicennia sp. are
able to grow seaward as they may adapt to the high salinity
range from 20.9 to 31.25 ppt [16]. 2.1 Study Area West Coast of Peninsular Malaysia had been hit with IOT
2004. The area is bordered by the calm sea of Malacca
Straits, which enabled the small particles of sediment
(mud) to settle down at the coastal area [11]. Hence, the
conditions contributed to the growth of mangrove forest in
this part of coastline rather than the East Coast of
Peninsular Malaysia [12]. However, these areas affected
by the IOT 2004 are not fully recovered and potentially at
high risk for future tsunami. In order to explore the current
level of protection available at the previously affected IOT
2004 area, 10 sampling locations were assessed (Fig 2). These involved sites covering the three states, namely
Perak (Parit Haji Dollah, Tg Kepah, Pantai Remis, Kuala
Sepetang and Kuala Gula), Kedah (Pantai Merdeka, Kuala
Sg Limau, Sg Ibus, Kuala Teriang) and Perlis (Kuala
Sanglang). Figure 1. Wave energy and its impact at coastal area for A. With
mangrove, B. Without mangrove [9]. Figure 1. Wave energy and its impact at coastal area for A. With
mangrove, B. Without mangrove [9]. Figure 2. Locations of study area located at the coastline of Perlis, Kedah and Perak (Image adapted from Google Earth, 2016) Figure 2. Locations of study area located at the coastline of Perlis, Kedah and Perak (Image adapted from Google Earth, 2016) 2 2 DOI: 10.1051/matecconf/20178701014 , 01014 (2017)
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MATEC Web of Conferences , 01014 (2017)
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MATEC Web of Conferences Where; Circumference1.3 = Circumference at 1.3 m height 2.3.1. Diameter at Breast Height (DBH) Table 1. Mangrove species found at sampling plots. Location
Rhizophoraceae
Avicenniaceae
R. mucronata
R. apiculata
A. alba
A. marina
Parit Haji
Dollah
3
0
1
0
Tg Kepah
0
0
0
4
Kg Pantai
Remis
0
0
2
2
Kuala
Sepetang
2
3
0
2
Kg Kuala
Gula
4
0
0
0
Pantai
Merdeka
3
0
0
1
Kuala Sg
Limau
0
0
3
1
Sg Ibus
0
0
1
3
Kuala
Teriang
4
1
0
8
Kuala
Sanglang
4
0
0
0 Table 1. Mangrove species found at sampling plots. To determine the DBH, the circumference of the mangrove
tree at 1.3 m height was measured at site. The DBH was
calculated by using the relationship (Eq 1) stated in [13].
3. 1
nce
Circumfere
DBH
(1)
Where;
Circumference1.3 = Circumference at 1.3 m height
3. 1
nce
Circumfere
DBH
(1) (1) Where; 3.1. Mangrove Distribution Mangrove forest along the coastline of Perlis, Kedah and
Perak was assessed. A total of 52 matured trees from four
species and two families were identified. The species
included Rhizophora mucronata, Rhizophora apiculata,
Avicennia alba and Avicennia marina. Table 1 shows
number of the inspected mangrove trees for the respective
species. They were basically divided into three age groups;
(1) three to six years, (2) seven to ten years, and (3) more Figure 3. Distribution of mangrove forest in the surveyed
coastlines. 3 DOI: 10.1051/matecconf/20178701014 , 01014 (2017)
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MATEC Web of Conferences Figure 4. Typical mangrove forest zonation in Peninsular
Malaysia [15]. representative area. The diversity of the species indicates
how the area is able to attenuate wave. Different species
have
different
wave
attenuation
capability
[10]. Rhizophora sp. have larger and complex root and
pneumatophores which enable them to create greater
friction to wave as compared to other species [18]. DBH indicates as the best height to determine the tree
growth. The DBH is also an approach to predict the
dimension of the large tree [19,20]. The derivation from
the relationship between DBH and height of the mangrove
tree can be used to estimate the size of the tree [13,19]; and
it indicated positive correlation as height increases with
DBH (Fig 6). It is important to note that the DBH of the
tree should increase with height as it grows [19]. Figure 4. Typical mangrove forest zonation in Peninsular
Malaysia [15]. The Pearson correlation analysis is used to reveal how
strong the relationship between the variables. The value
for the correlation ranges from -1 to +1 (-1 ≤ r ≤ 1). Values
close to +1 indicate the variables having strong positive
relationship, while values close to -1 show strong negative
relationship. However, value of zero implies no
relationship. 3.2 Condition of Mangrove Forest y = 3.1317x - 6.7114
r = 0.71
n = 20
-5.00
0.00
5.00
10.00
15.00
20.00
25.00
30.00
0.00
2.00
4.00
6.00
8.00
10.00
H (m)
DBH (cm)
Rhizophora mucronata
y = 1.3733x - 6.5452
r = 0.96
n = 4
0.00
5.00
10.00
15.00
20.00
25.00
0
5
10
15
20
25
H (m)
DBH (cm)
Rhizophora apiculata
y = 2.2888x - 4.4639
r = 0.67
n = 21
0.00
10.00
20.00
30.00
40.00
0.00
5.00
10.00
15.00
H (m)
DBH (cm)
Avicennia marina
y = 1.7471x - 1.5106
r = 0.78
n = 7
0.00
5.00
10.00
15.00
20.00
0.00
2.00
4.00
6.00
8.00
10.00
H (m)
DBH (cm)
Avicennia alba y = 3.1317x - 6.7114
r = 0.71
n = 20
-5.00
0.00
5.00
10.00
15.00
20.00
25.00
30.00
0.00
2.00
4.00
6.00
8.00
10.00
H (m)
DBH (cm)
Rhizophora mucronata y = 1.3733x - 6.5452
r = 0.96
n = 4
0.00
5.00
10.00
15.00
20.00
25.00
0
5
10
15
20
25
H (m)
DBH (cm)
Rhizophora apiculata y = 2.2888x - 4.4639
r = 0.67
n = 21
0.00
10.00
20.00
30.00
40.00
0.00
5.00
10.00
15.00
H (m)
DBH (cm)
Avicennia marina Figure 6. Correlation analysis between the height of the tree, H (m) and diameter at breast height, DBH (cm). Peninsular Malaysia by the relevant authorities from 2005
to 2010 (Table 2) [15]. The replantation is hoped to protect
the coastal properties from wave actions. Peninsular Malaysia by the relevant authorities from 2005
to 2010 (Table 2) [15]. The replantation is hoped to protect
the coastal properties from wave actions. 3.2 Condition of Mangrove Forest The diversity index is one of the approaches used to
measure the diversity of the mangrove forest [17]. The
derivation attributed from two facets including species
richness and species evenness. The species diversity,
evenness and richness are shown in Figure 5. It is revealed that R. apiculata recorded a strong
correlation (n=4; r=0.96) as compared to other species. However, analysis concluded that the growth of mangrove
forest synchronises well with DBH. All the correlation
coefficient values (r) are above 0.5 which indicate
moderate correlation. Hence, the growth of mangrove trees
are considered satisfactory. The species diversity along the coastlines was
estimated to range from 0 to 1.08. The highest species
diversity found was in Kuala Sepetang with a value of
1.08. The value attributed from 3 species including R. mucronata, R. apiculata and A. marina. Meanwhile, the
area with zero diversity indicated only one species at the Figure 5. Species diversity of mangrove forest in the surveyed coastlines
Parit
Haji
Dollah
Tg
Kepah
Kg
Pantai
Remis
Kuala
Sepetang
Kg
Kuala
Gula
Pantai
Merdeka
Kuala Sg
Limau
Sg Ibus
Kuala
Perlis
Kuala
Teriang
Sp Diversity
0.56
0
0.69
1.08
0
0.56
0.56
0.56
0
0.86
0
0.2
0.4
0.6
0.8
1
1.2
Species diversity Figure 5. Species diversity of mangrove forest in the surveyed coastlines 4 4 , 01014 (2017)
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MATEC Web of Conferences Figure 6. Correlation analysis between the height of the tree, H (m) and diameter at breast height, DBH (cm). 3.3 Mangrove as Coastal Protection Mangrove forest provides countless benefits, not only to
human but for ecosystem as well [21]. Unfortunately,
despite the benefits offered, mangrove forest had been
exploited extensively. The major factor of decreasing
mangrove was due to land conversion [22]. The mangrove
forest had been explored for shrimp aquaculture due to the
suitability of its surrounding soil and water quality. Table 2. Locations for the rehabilitation programme in
Peninsular Malaysia after IOT 2004 [15]. State
Location
Perlis
Kuala Sanglang
Kedah
Kg. Huma, Tg. Dawai
Kota Kuala Muda
P. Pinang
Pantai Malindo
Perak
Lekir, Manjung
Selangor
Bagan Nakhoda Omar Analysis shows that Malaysia is exposed to some level
of risk of tsunami especially at Sabah and West Coast of
Peninsular Malaysia including Perlis, Penang, Kedah,
Perak and Selangor (Fig 7) [15]. Figure 7. Map showing the tsunami risk area in Malaysia [15]. However, recent visit in April 2016 revealed that some
of the replantation programmes were not successful. As an
example, the mangroves that were replanted in Lekir,
Perak in 2008 showed a retarded growth. The villagers
commented that the mangrove saplings had been planted
for two times, but failed. The saplings only survived for a
year and later washed away after the subsequent monsoon
season at the end of the year. Currently, the third attempt
with two years old R. mucronata were planted in early
2015. However, only few trees were found to still survive,
while most of the replanted trees were destroyed by the
monsoon. Remnants of the destroyed matured trees were also
observed at Sg. Haji Dollah which is located south of Lekir
(Fig 8). These mangroves were struggling in front of the
rock revetment. It is suggested that the presence of Figure 7. Map showing the tsunami risk area in Malaysia [15]. After the IOT 2004, about 1295.80 ha (4,395,472
number of mangrove trees) had been replanted in 5 , 01014 (2017)
87
ENCON 2016
MATEC Web of Conferences DOI: 10.1051/matecconf/20178701014 revetment has led to the degradation of these trees. Mangrove trees planted behind the revetment was found to
survive well. of coastal protection measure for this area. Interview with
local villagers described further details on the mangrove
forest at site. According to one of the senior citizens
residing close to the beach, the mangrove replanting was
done since 2005, after the IOT 2004. The three years old
R. mucronata were planted with about 1.3 m spacing. 4 Conclusion the aftermath of the 2004 Indian Ocean earthquake
and tsunami, Risk Management Solutions, Newark
(2006). The IOT 2004 was the most outrageous event occurred in
Malaysia with 63 numbers of total deaths. It was evidenced
from the incident that the mangrove forest had contributed
significantly in reducing the impacts from the wave. The
unique configuration of mangrove trees enabled them to
dissipate wave energy. [5] [5] A. D. Hawkes, M. Bird, S. Cowie, C. Grundy-Warr,
B. P. Horton, A. T. S. Hwai, C. Macgregor, J. Nott,
J. Rigg, J. E. Ong, L. Law, R. Robinson, M. Tan-
Mullins, T. T. Sa, Z. Yasin and L. W. Aik, Sediments
deposited by the 2004 Indian Ocean tsunami along
Malaysia-Thailand Peninsula, Marine Geology,
169-190 (2007) The field investigation shows that A. marina was
found as the dominant species along the West Coast of
Peninsular Malaysia. The zonation of mangrove forest
with Avicenniaceae as frontal species contributed to this
result. [6] P. C. Athukorala, Disaster, generosity and recovery:
Indian
Ocean
Tsunami,
Australian
national
University, Canberra (2012) However, recent field investigation also discovered
that there was no sufficient mangrove belt to provide
effective protection especially at the South of Perak. The
replantation of mangrove forest by the authorities had
experienced failures twice due to the monsoons. However,
further north of Perak, the distribution of mangrove forest
was found to be increasing. It is discovered that the area is
one of the tourist areas under the jurisdiction of the local
government. Therefore, the area was given extra attention
as compared to the South of Perak. Analysis recommended
that future focus should be given to the area with less
mangrove forest distribution. The optimum replanting
scheme should be implemented immediately to ensure
safety of Malaysia’s coastline from future natural disaster. This field study provides useful database which can be
used for future comprehensive assessment with the aid of
GIS technology and remote sensing analysis. [7] K. Rostam, I. Herman and A. B. M. Nor, Kawasan
penempatan semula mangsa tsunami di Malaysia:
Analisis kualiti kejiranan dan kesejahteraan isi
rumah, Malaysian Journal of Society and Space, 5,
33-43 (2009) [8] D. M. Patel, V. M. Patel, K. Bhupesh and K. A. Patel, Peformance of mangrove in tsunami
resistance, International Journal of Emerging
Technology and Research, 1, 29-32 (2014) [9] Y. Mazda, M. Magi, M. Kogo and P. N. 3.3 Mangrove as Coastal Protection The
villagers were also briefed on how to grow the mangrove
tree. They were advised to plant the mangrove seedlings
from the mature tree at the nursery area. This awareness
campaign by the authorities allowed the mangrove to grow
well at the Kuala Teriang. Among the successful replanting efforts include those
in Kuala Teriang, Langkawi, Kedah. The area was one of
the most affected area hit by the tsunami in Peninsular
Malaysia. Healthy mangrove forest grows along the
coastal area from Sg Melaka to Sg Kuala Teriang (Fig 9). In front of the mangrove forest, there was an
approximately 100 m long geotextile fabric tube placed in
front of beach. The geotubes had been laid as another line Figure 8. Replantation program implemented at Lekir, Perak, A. The replantation area in Tg Kepah. B. Fall-out of matured mangrove
tree. (Image adapted from Google Earth, 2016; [15]) Figure 8. Replantation program implemented at Lekir, Perak, A. The replantation area in Tg Kepah. B. Fall-out of matured mangrove
tree. (Image adapted from Google Earth, 2016; [15]) Figure 9. Geotube in front of mangrove forest at Kuala Teriang. (Image adapted from Google Earth, 2016) Figure 9. Geotube in front of mangrove forest at Kuala Teriang. (Image adapted from Google Earth, 2016) 6 6 DOI: 10.1051/matecconf/20178701014 , 01014 (2017)
87
ENCON 2016
MATEC Web of Conferences , 01014 (2017)
87
MATEC Web of Conferences 4 Conclusion Hong,
Mangroves as a coastal protection from waves in the
Tong King delta, Vietnam, Mangroves and Salt
Marshes, 1, 127-135 (1997) [10] Y. Mazda and M. Magi, Wave reduction in
mangrove forest dominated by Sonneratia sp.,
Wetlands Ecology and Management, 14, 365-378
(2006) Acknowledgement [11] F. Alemayehu, O. Richard, K. M. James and O. Wasonga, Assessment of Mangrove Covers Change
and Biomass in Mida Creek, Kenya, Journal of
Forestry, 4, 398-413 (2014) This research is fully supported by FRGS grant
(FRGS/2/2013/TK03/UTP/02/1). The authors also wish to
express special thanks to the Centre of Post Graduate
Studies, Sustainable Resources MOR and Department of
Civil
and
Environmental
Engineering,
Universiti
Teknologi
PETRONAS
for
their
support
and
encouragement. [12] N. A. Kamaruddin, S. Fujii and B. R. Shivakoti,
Applicability of satellite monitoring on mangrove
forests in Malaysia: A review of potential benefits
and challenges, International Journal of Research,
2, 185-204 (2015) [13] T. Buba, Relationships between Stem Diameter at
Breast Height (DBH), Tree Height, Crown Length,
and Crown Ratio of V. paradoxa C.F. Gaertn in the
Nigerian Guinea Savanna, African Journal of
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Dynamics of CTCF- and cohesin-mediated chromatin looping revealed by live-cell imaging
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ARTICLE PREPRINT 1 Department of Biological Engineering, Massachusetts Institute of Technology; Cambridge, 02139, USA; 2 Department of Physics,
Massachusetts Institute of Technology; Cambridge, MA 02139, USA; 3 Department of Molecular and Cell Biology, University of
California, Berkeley; Berkeley, CA 94720, USA; 4 Institute for Medical Engineering and Sciences, Massachusetts Institute of
Technology; Cambridge, MA 02139, USA; 5 Institut Curie; Paris 75005, France; 6 Max Planck Institute of Molecular Cell Biology &
Genetics; Dresden, Germany; 7 Center for Systems Biology Dresden; Dresden, Germany; 8 Cluster of Excellence Physics of Life, TU
Dresden; Dresden, Germany; 1 Department of Biological Engineering, Massachusetts Institute of Technology; Cambridge, 02139, USA; 2 Department of Physics,
Massachusetts Institute of Technology; Cambridge, MA 02139, USA; 3 Department of Molecular and Cell Biology, University of
California, Berkeley; Berkeley, CA 94720, USA; 4 Institute for Medical Engineering and Sciences, Massachusetts Institute of
Technology; Cambridge, MA 02139, USA; 5 Institut Curie; Paris 75005, France; 6 Max Planck Institute of Molecular Cell Biology &
Genetics; Dresden, Germany; 7 Center for Systems Biology Dresden; Dresden, Germany; 8 Cluster of Excellence Physics of Life, TU
Dresden; Dresden, Germany; 1 Department of Biological Engineering, Massachusetts Institute of Technology; Cambridge, 02139, USA; 2 Department of Physics,
Massachusetts Institute of Technology; Cambridge, MA 02139, USA; 3 Department of Molecular and Cell Biology, University of
California, Berkeley; Berkeley, CA 94720, USA; 4 Institute for Medical Engineering and Sciences, Massachusetts Institute of
Technology; Cambridge, MA 02139, USA; 5 Institut Curie; Paris 75005, France; 6 Max Planck Institute of Molecular Cell Biology &
Genetics; Dresden, Germany; 7 Center for Systems Biology Dresden; Dresden, Germany; 8 Cluster of Excellence Physics of Life, TU
Dresden; Dresden, Germany;
† MG HBB
d SGH
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†: MG, HBB and SGH contributed equally and may list their own name first. *Correspondence: leonid@mit.edu, zechner@mpi-cbg.de,
ashansen@mit.edu Animal genomes are folded into loops and topologically associating domains (TADs) by CTCF and
cohesin, but whether these loops are stable or dynamic is unknown. Here, we directly visualize
chromatin looping at the Fbn2 TAD in mouse embryonic stem cells using super-resolution live-cell
imaging and quantify looping dynamics by Bayesian inference. Our results are consistent with
cohesin-mediated loop extrusion in cells, and with CTCF both stopping and stabilizing cohesin. Surprisingly, the Fbn2 loop is both rare and dynamic, with a looped fraction of ~3-6.5% and a median
loop lifetime of ~10-30 minutes. Instead of a stable loop, our results establish a highly dynamic view of
TADs and loops where the Fbn2 TAD exists predominantly in a partially extruded conformation. This
dynamic and quantitative view of TADs may facilitate a mechanistic understanding of their functions. dynamics of chromatin looping (16). Furthermore, previous
studies have yielded conflicting results as to whether loops
are well-defined in single cells (10–15), perhaps due to the
difficulty associated with distinguishing bona fide CTCF-
and cohesin-mediated loops from mere proximity that
emerges stochastically (16). Recent pioneering work has
visualized enhancer-promoter interactions (17, 18) and
long-range V(D)J-chromatin interactions (19) in live cells. However, the dynamics of loop extrusion and the lifetime
of CTCF/cohesin loops have not yet been quantified in
living cells, which we therefore set out to do. dynamics of chromatin looping (16). Furthermore, previous
studies have yielded conflicting results as to whether loops
are well-defined in single cells (10–15), perhaps due to the
difficulty associated with distinguishing bona fide CTCF-
and cohesin-mediated loops from mere proximity that
emerges stochastically (16). Recent pioneering work has
visualized enhancer-promoter interactions (17, 18) and
long-range V(D)J-chromatin interactions (19) in live cells. However, the dynamics of loop extrusion and the lifetime
of CTCF/cohesin loops have not yet been quantified in
living cells, which we therefore set out to do. INTRODUCTION Mammalian genomes are folded into loops and
domains known as Topologically Associating Domains
(TADs) by the proteins CTCF and cohesin (1). Mechanistically, cohesin is thought to load on DNA and
bidirectionally extrude loops until it is blocked by CTCF
such that CTCF establishes TAD boundaries (2–7). Functionally, CTCF- and cohesin-mediated looping and
TADs play critical roles in multiple nuclear processes
including
regulation
of
gene
expression,
somatic
recombination, and DNA repair (8). For example, TADs are
thought to regulate gene expression by increasing the
frequency of enhancer-promoter interactions within a TAD,
and decreasing enhancer-promoter interactions between
TADs (9). However, to understand how TADs and loops
are formed and maintained, and how they function, it is
necessary to understand whether TADs are stable or
dynamic structures and to quantify the dynamics and
lifetime of CTCF/cohesin-mediated loops. .
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ioRxiv preprint RESULTS As expected, the 3D distance was
significantly increased in C65 (Fig. 1E). Interestingly, from
Mean-Squared Displacement (MSD) analysis, chromatin
showed Rouse polymer dynamics with a scaling of
MSD~t0.5 for all three clones (24) (Fig. 1F). We conclude
that our approach faithfully reports on CTCF looping
dynamics in live cells without noticeable artifacts. To validate our system for tracking Fbn2 loop
dynamics, we carried out a series of control experiments. First, we confirmed using Micro-C (22, 23) that our locus
labeling approach did not measurably perturb the Fbn2 loop
(Fig. 1A). Second, as a positive looping control we deleted To elucidate the specific contribution of CTCF and
cohesin, we generated cell lines to acutely deplete the
cohesin subunit RAD21, CTCF, and the cohesin unloader
WAPL. We used genome-editing to endogenously tag these Fig. 1. Endogenous labeling and tracking of the Fbn2 loop with super-resolution live cell imaging. (A) Fluorescent labeling of
Fbn2 loop anchors does not perturb the Fbn2 TAD. mESC Micro-C contact map comparing the parental untagged (C59, top left) and tagged (C36,
bottom right) cell lines. Red triangles: CTCF binding with orientation. C36 ChIP-seq shows CTCF (GSM3508478) and cohesin (Smc1a;
GSM3508477) binding as compared to Input (GSM3508475). RNA-seq (GSE123636) and transcript annotation tracks (GRCm38) show that Fbn2 is
transcriptionally inactive. Genome coordinates: mm10. (B) Overview of tagging and readout using 3D distance. (C) Overview of the genome-edited
cell lines (left) and a representative maximum intensity projection (MIP) of a cell showing two pairs of “dots” (right). (D) Representative 3D trajectory
over time of a dot pair. MIPs of the 3D voxels centered on the mScarlet dot (top) and 3D distances between dots (bottom) are shown. (E) 3D
distance probability density functions of dot pairs (n=32,171; n=46,163; n=13,566 distance measurements for C27, C36, C65 respectively) (F)
Localization error corrected Mean Squared Displacement (MSD) plots (n=358; n=491; n=147 trajectories in C27; C36; C65 respectively). Fig. 1. Endogenous labeling and tracking of the Fbn2 loop with super-resolution live cell imaging. (A) Fluorescent labeling of
Fbn2 loop anchors does not perturb the Fbn2 TAD. mESC Micro-C contact map comparing the parental untagged (C59, top left) and tagged (C36,
bottom right) cell lines. Red triangles: CTCF binding with orientation. C36 ChIP-seq shows CTCF (GSM3508478) and cohesin (Smc1a;
GSM3508477) binding as compared to Input (GSM3508475). RNA-seq (GSE123636) and transcript annotation tracks (GRCm38) show that Fbn2 is
transcriptionally inactive. Genome coordinates: mm10. RESULTS To visualize the dynamics of CTCF/cohesin
looping, we chose as our model system the loop holding
together the two CTCF-bound boundaries of the 505 kb
Fbn2 TAD in mouse Embryonic Stem Cells (mESCs). This
TAD is verified to be CTCF dependent (20) and relatively
simple as it contains a single gene, Fbn2, which is not
expressed in mESCs (Fig. 1A). We used genome-editing to
homozygously label the left and right CTCF sites of the
Fbn2 TAD with TetO and Anchor3 arrays, which we then
visualized by co-expressing the fluorescently tagged Though recent advances in single-cell genomics
and fixed-cell imaging have made it possible to generate
static snapshots of 3D genome structures in single cells
(10–15), live-cell imaging is required to understand the 1 1 . CC-BY 4.0 International license
available under a
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bioRxiv preprint ARTICLE PREPRINT binding proteins TetR-3x-mScarlet and EGFP-OR3 (21)
(clone C36) (Fig. 1B-D). We developed a comprehensive
image analysis framework, ConnectTheDots, to extract
trajectories of 3D loop anchor positions from the acquired
movies (Fig. S1). By optimizing 3D super-resolution live-
cell imaging conditions (16), we could track Fbn2 looping
dynamics at 20 second resolution for over 2 hours (Fig. 1D). After DNA replication in S/G2 phase, it is no longer
possible to reliably distinguish intrachromosomal from
sister-chromosomal
interactions
(16). We
therefore
developed and validated a convolutional neural network to
filter out replicated and low-quality dots (Fig. S2). Thus,
we only consider G1 and early S-phase cells. the 505 kb between the CTCF sites, generating clone C27
(Fig. 1C). As expected, this significantly reduced the 3D
distance (Fig. 1E). Third, as a negative control for CTCF-
mediated looping, we generated clone C65 (Fig. 1C) by
homozygously deleting the 3 CTCF motifs in the Fbn2
TAD (L1, L2, R1; Fig. 1A) and validated that this resulted
in loss of CTCF binding and cohesin co-localization by
ChIP-Seq (Fig. S3). RESULTS First, we achieved near-complete depletion
of RAD21 and CTCF within 2 hours, while WAPL
depletion took 4 hours and was less complete (Fig. S4). Second, long-term depletion of RAD21 and CTCF led to
cell death as expected for loss of essential proteins (Fig. S5), whereas WAPL depletion caused only a minor growth
defect
and
occasionally
yielded
visible
compacted
(‘vermicelli’) chromosomes after sustained depletion (26). Third, we quantified the protein abundances in the AID cell
lines without IAA and note that they are lower likely due to
leaky protein depletion (Fig. S6). Fourth, we used Micro-C
to verify that RAD21 and CTCF depletion led to loss of the
Fbn2 loop or corner peak as expected (27–30) (Fig. 2A)
and used ChIP-Seq to verify disrupted CTCF and cohesin
chromatin binding (Fig. S7). In contrast, WAPL depletion increased corner peak strength (29–31) (Fig. 2A). Thus, our
validated AID lines enable efficient and acute protein
depletion. increased corner peak strength (29–31) (Fig. 2A). Thus, our
validated AID lines enable efficient and acute protein
depletion. We next studied the specific roles of RAD21,
CTCF, and WAPL in loop extrusion in vivo by imaging our
validated AID lines (Fig. 2B-C). Consistent with RAD21
being required for loop extrusion, RAD21 depletion
strongly increased the 3D distances (Fig. 2B-C). Consistent
with CTCF being the boundary factor required for Fbn2
loop formation (Fig. 1B), but not for loop extrusion, CTCF
depletion increased 3D distances albeit significantly less
than RAD21 depletion (7) (Fig. 2B-C). Finally, consistent
with prior observations that WAPL depletion increases
cohesin’s residence time and abundance on chromatin (26),
potentially allowing it to extrude longer and more stable
loops (29, 31), WAPL depletion decreased the 3D distances
(Fig. 2B-C; ΔWAPL is attenuated due to lower CTCF and Fig. 2. Degradation of CTCF, cohesin, and WAPL reveal their role in loop extrusion and looping-mediated chromosome
compaction. (A) Micro-C data for the AID-tagged clones for RAD21 (left), CTCF (middle), and WAPL (right), showing control data (no IAA
treatment; top half) and protein degradation data (3 hours post IAA; bottom half). Schematics illustrating the expected effect on DNA are shown
above each subpanel. (B) Representative trajectories with (colored lines) or without IAA treatment (gray lines) for each AID-tagged clone. RESULTS (C) 3D
distance probability density functions of dot pairs (n=45,379; n=10,469; n=18,153 distance measurements for ΔRAD21 (2 hr), ΔCTCF (2 hr), ΔWAPL
(4 hr) depletion conditions respectively, and n=17,605; n=11,631; n=21,001 for the same clones without treatment). (D) Localization error corrected
MSD plots for the AID-tagged clones (left) (n=537; n=137; n=215 trajectories in ΔRAD21 (2 hr), ΔCTCF (2 hr), ΔWAPL (4 hr) depletion conditions
respectively, and n=183; n=151; n=257 without treatment (gray lines)). The effective tether length is obtained by computing the ratio of the steady-
state variance of each clone to the value in the RAD21-depletion condition (note that 2<R²> is also the asymptotic value of the MSD; see also
Supplementary Material). (E) Representative 3D polymer conformation from simulations mimicking the RAD21 (95% cohesin depletion) (left) and
CTCF (100% CTCF depletion) (right) depletion conditions. Simulated chromatin segments in loops are colored red and unextruded segments are
blue. (F) Mean cohesin separations and processivities in simulations are obtained by matching Micro-C contact frequency decay versus genomic
distance. Conversion factors for simulated monomer sizes and time steps to nanometers and seconds are obtained by calibrating the ΔCTCF
simulations to the 2-hour CTCF depletion MSD plots. The extrusion rate is for two-sided extrusion. 3 Fig. 2. Degradation of CTCF, cohesin, and WAPL reveal their role in loop extrusion and looping-mediated chromosome
compaction. (A) Micro-C data for the AID-tagged clones for RAD21 (left), CTCF (middle), and WAPL (right), showing control data (no IAA Fig. 2. Degradation of CTCF, cohesin, and WAPL reveal their role in loop extrusion and looping-mediated chromosome , cohesin, and WAPL reveal their role in loop extrusion and looping-mediated chromosom Fig. 2. Degradation of CTCF, cohesin, and WAPL reveal their role in loop extrusion and Fig. 2. Degradation of CTCF, cohesin, and WAPL reveal their role in loop extrusion and looping mediated chromosome
compaction. (A) Micro-C data for the AID-tagged clones for RAD21 (left), CTCF (middle), and WAPL (right), showing control data (no IAA
treatment; top half) and protein degradation data (3 hours post IAA; bottom half). Schematics illustrating the expected effect on DNA are shown
above each subpanel. (B) Representative trajectories with (colored lines) or without IAA treatment (gray lines) for each AID-tagged clone. RESULTS (B) Overview of tagging and readout using 3D distance. (C) Overview of the genome-edited
cell lines (left) and a representative maximum intensity projection (MIP) of a cell showing two pairs of “dots” (right). (D) Representative 3D trajectory
over time of a dot pair. MIPs of the 3D voxels centered on the mScarlet dot (top) and 3D distances between dots (bottom) are shown. (E) 3D
distance probability density functions of dot pairs (n=32,171; n=46,163; n=13,566 distance measurements for C27, C36, C65 respectively) (F)
Localization error corrected Mean Squared Displacement (MSD) plots (n=358; n=491; n=147 trajectories in C27; C36; C65 respectively). 2 . CC-BY 4.0 International license
available under a
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
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bioRxiv preprint ARTICLE PREPRINT factors with mAID in the C36 line, allowing for degradation
with Indole-3-acetic acid (IAA) (25) (Fig. S4) and validated
these cell lines. First, we achieved near-complete depletion
of RAD21 and CTCF within 2 hours, while WAPL
depletion took 4 hours and was less complete (Fig. S4). Second, long-term depletion of RAD21 and CTCF led to
cell death as expected for loss of essential proteins (Fig. S5), whereas WAPL depletion caused only a minor growth
defect
and
occasionally
yielded
visible
compacted
(‘vermicelli’) chromosomes after sustained depletion (26). Third, we quantified the protein abundances in the AID cell
lines without IAA and note that they are lower likely due to
leaky protein depletion (Fig. S6). Fourth, we used Micro-C
to verify that RAD21 and CTCF depletion led to loss of the
Fbn2 loop or corner peak as expected (27–30) (Fig. 2A)
and used ChIP-Seq to verify disrupted CTCF and cohesin
chromatin binding (Fig. S7). In contrast, WAPL depletion factors with mAID in the C36 line, allowing for degradation
with Indole-3-acetic acid (IAA) (25) (Fig. S4) and validated
these cell lines. ARTICLE PREPRINT cohesin abundances in this clone and less efficient
depletion; Fig. S4, S6). contributing to the longer effective tether in ΔCTCF. The
increased tether length after CTCF depletion is thus
consistent with CTCF serving as an extrusion boundary. In
summary, we find that on average just over half of the Fbn2
TAD is extruded into loops. contributing to the longer effective tether in ΔCTCF. The
increased tether length after CTCF depletion is thus
consistent with CTCF serving as an extrusion boundary. In
summary, we find that on average just over half of the Fbn2
TAD is extruded into loops. To quantify the effect of loop extrusion in our AID
lines we turned to polymer physics theory. The Rouse
model predicts a linear relationship between chain length
and mean squared distance (<R²>) between the fluorescent
labels (dashed lines in Fig. 2D, Fig. S8). This relationship
allows us to assign an “effective tether length” to each
experimental condition by taking ΔRAD21 as a reference
value, and assuming that ΔRAD21 represents the fully
unextruded state with a genomic separation of 515 kb. We
find an effective tether of ~200 kb in wildtype (C36) and
~280 kb in ΔCTCF, corresponding to ~39% and ~54% of
the full genomic separation respectively. Thus, conversely,
the genomic separation between the two labels shortens by
~46% due to extrusion alone (ΔRAD21 vs. ΔCTCF) and
~61% due to extrusion with boundaries (ΔRAD21 vs. C36). We refer to the latter percentages as the fraction (of the
Fbn2 region) extruded but caution that extrusion of the loop
anchors themselves complicates this picture, specifically Having demonstrated that CTCF and cohesin
regulate Fbn2 compaction (Fig. 2A-D), we next sought to
develop an inference method to quantify loop dynamics. To
generate ground truth data to benchmark such a method, we
used the Micro-C contact maps (Fig. 2A), the absolute 3D
distances (Fig. 2C), and the MSDs (Fig. 2D) in the C36,
ΔCTCF, and ΔRAD21 conditions to constrain and
parameterize 3D polymer simulations incorporating loop
extrusion. Consistent with our ΔRAD21 data, our polymer
simulations resulted in chromosome decompaction after
near-complete RAD21 depletion (Fig. 2E) and accurately
matched our experimental data (Fig. 2F). We then used
these simulations to benchmark a method to infer looped
states. To infer looped state dynamics, we developed To infer looped state dynamics, we developed Fig. 3. Bayesian Inference of Looping Dynamics (BILD) reveals rare and dynamic CTCF loops. ARTICLE PREPRINT (A) Example trajectory from
polymer simulations with loop extrusion. Extrusion shortens the effective tether (unextruded length; red) between the CTCF sites; The tether is
minimal when cohesin is stalled at CTCF on both sides, which we take as ground truth looping events (black bar). The inference captures these
accurately, but raises false positive detections occasionally (pink bars). We limit false positive detections by introducing an evidence bias ΔE (purple
bar). (B) Schematic overview over BILD. Building on the analytical solution to the Rouse model, we employ an evidence-based optimization scheme
to determine the optimal looping profile in two steps. (C) BILD procedure. In a first step, we maximize the evidence over the number of switches in
the profile. In the second step we then find the best positions for these switches by maximizing the posterior. (D) Illustrative examples of inferred
profiles on real trajectory data. (E) Kaplan-Meier survival curves rescaled by the inferred looped fraction. Gray lines are maximum likelihood fits of a
single exponential to the data, accounting for censoring (Supplementary Material). (F) Fraction of time the Fbn2-locus spends in the fully looped
conformation for each of our experimental conditions. Error bars are bootstrapped 95% confidence intervals. (G) Median loop lifetimes from the
Kaplan-Meier survival curves (squares) or exponential fits (crosses). Confidence intervals are determined from the confidence intervals on the
Kaplan-Meier curve and the likelihood function of the exponential fit, respectively. Where the upper confidence limit on the survival curve did not
cross below 50% an arrowhead indicates a semi-infinite confidence interval. 4 Fig. 3. Bayesian Inference of Looping Dynamics (BILD) reveals rare and dynamic CTCF loops. (A) Example trajectory from
polymer simulations with loop extrusion. Extrusion shortens the effective tether (unextruded length; red) between the CTCF sites; The tether is
minimal when cohesin is stalled at CTCF on both sides, which we take as ground truth looping events (black bar). The inference captures these
accurately, but raises false positive detections occasionally (pink bars). We limit false positive detections by introducing an evidence bias ΔE (purple
bar). (B) Schematic overview over BILD. Building on the analytical solution to the Rouse model, we employ an evidence-based optimization scheme
to determine the optimal looping profile in two steps. (C) BILD procedure. In a first step, we maximize the evidence over the number of switches in
the profile. RESULTS (C) 3D
distance probability density functions of dot pairs (n=45,379; n=10,469; n=18,153 distance measurements for ΔRAD21 (2 hr), ΔCTCF (2 hr), ΔWAPL
(4 hr) depletion conditions respectively, and n=17,605; n=11,631; n=21,001 for the same clones without treatment). (D) Localization error corrected
MSD plots for the AID-tagged clones (left) (n=537; n=137; n=215 trajectories in ΔRAD21 (2 hr), ΔCTCF (2 hr), ΔWAPL (4 hr) depletion conditions
respectively, and n=183; n=151; n=257 without treatment (gray lines)). The effective tether length is obtained by computing the ratio of the steady-
state variance of each clone to the value in the RAD21-depletion condition (note that 2<R²> is also the asymptotic value of the MSD; see also
Supplementary Material). (E) Representative 3D polymer conformation from simulations mimicking the RAD21 (95% cohesin depletion) (left) and
CTCF (100% CTCF depletion) (right) depletion conditions. Simulated chromatin segments in loops are colored red and unextruded segments are
blue. (F) Mean cohesin separations and processivities in simulations are obtained by matching Micro-C contact frequency decay versus genomic
distance. Conversion factors for simulated monomer sizes and time steps to nanometers and seconds are obtained by calibrating the ΔCTCF
simulations to the 2-hour CTCF depletion MSD plots. The extrusion rate is for two-sided extrusion. 3 . CC-BY 4.0 International license
available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprint
this version posted December 13, 2021. ;
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bioRxiv preprint ARTICLE PREPRINT ARTICLE PREPRINT We then infer when the
switches occur by maximum a posterior estimation (Fig. 3C). To reduce false positives, we introduced an evidence
margin ΔE, which reduces the sensitivity of loop detection
but renders the detected looping segments more reliable
(Fig. 3A, Fig. S10). Our final inference scheme, BILD,
accurately inferred both the looped fraction and loop
lifetime when applied to our 3D polymer simulation data
with experimentally realistic localization uncertainty (Fig. S10-11). We next used BILD to infer looping in our
experimental trajectory data (Fig. 3D-G). BILD revealed
that the Fbn2 TAD is fully looped ~6.5% (~3%) of the
time, but spends ~93.5% (97%) of the time in a fully Wondering how to reconcile a low looped fraction
of ~3% with a clear and strong corner peak in the Micro-C
map, we set up polymer simulations with loop extrusion. We found that CTCF-mediated stabilization of cohesin was Fig. 4. Comprehensive picture of the Fbn2 TAD. (A) Comparison of Micro-C data for the C36 line to in silico Micro-C of our best-fit
simulation, map (left) and contact probability scaling (right). (B) BILD applied to the same simulation (green), comparing to C36 experimental data
(blue). (C) Number of cohesins forming the looped state in the simulation (n = 18,789). (D) “Anatomy” of the Fbn2 TAD. Quantitative description of
the Fbn2 TAD using both real data (blue) and our best-fit simulation (green). Cohesin processivity and density and CTCF stalling probability and
lifetime boost are simulation parameters. Fraction of time in different conformations was extracted from simulation ground truth, using effective
tether lengths of 1.1 kb and 505 kb as cutoffs to define “fully looped” and “fully unlooped” respectively. Fraction of TAD unextruded was obtained as
mean tether length over the full simulation. Experimental values are from Figs. 2, 3. Fig. 4. Comprehensive picture of the Fbn2 TAD. (A) Comparison of Micro-C data for the C36 line to in silico Micro-C of our best-fit
simulation, map (left) and contact probability scaling (right). (B) BILD applied to the same simulation (green), comparing to C36 experimental data
(blue). (C) Number of cohesins forming the looped state in the simulation (n = 18,789). (D) “Anatomy” of the Fbn2 TAD. Quantitative description of
the Fbn2 TAD using both real data (blue) and our best-fit simulation (green). Cohesin processivity and density and CTCF stalling probability and
lifetime boost are simulation parameters. ARTICLE PREPRINT unlooped or partially extruded conformation (Fig. 3F). We
use brackets to indicate the looped fraction after false
positive correction (Fig. S11). In contrast, we observed a
minimal looped fraction of ~2% (~0%) in ΔRAD21 and
ΔCTCF, and ~4% (~1%) in C65, whereas the looped
fraction was significantly increased to ~10% (~6%) in
ΔWAPL, consistent with WAPL unloading cohesin from
chromatin (26). Finally, we estimated the lifetime of the
looped state (Fig. 3E, G). Lifetime estimation is
challenging due to ‘censoring’, which occurs if the
trajectory either begins or ends in the looped state. To
correct for censoring, we used the Kaplan-Meier estimator
of the survival probability (Fig. 3G). We also provide an
orthogonal estimate of the median lifetime from an
exponential fit, which generally agrees with the Kaplan-
Meier estimate. Together, these give an estimate of the
median loop lifetime of ~10-30 min in the wildtype C36
line (Fig. 3G, Fig. S11D). Though our estimates are
associated with uncertainty and though we cannot exclude
the existence of a very rare but long-lived loop state, these
results nevertheless reveal the fully looped CTCF-cohesin
complex state to be both rare (~3%) and quite dynamic
(median ~10-30 min; mean ~15-45 min). Thus, during an
average ~12 hour mESC cell cycle, the looped state will
occur ~1-2 times lasting cumulatively ~20-45 min, but the
remaining ~11.5 hours will be in the partially extruded or
unlooped state. Bayesian Inference of Looping Dynamics (BILD). We
coarse-grain the possible conformations of the two CTCF
sites into two states: 1) a state of sustained contact (the
‘looped state’), where presumably a CTCF-cohesin
complex holds together the Fbn2 loop and 2) all other
possible
conformations
including
partially
extruded
conformations, random contacts, and the fully unlooped
conformation (the ‘unlooped state’; Fig. 3A-B, Fig. S9). We model the unlooped state (labelled θ=0) as a free Rouse
polymer and calibrate it to our ΔCTCF data. For the looped
state we introduce a switchable bond between the two
CTCF sites (θ=1; Fig. 3B), whose strength we set to
reproduce the 10 kb distance between the fluorophores,
using ΔRAD21 as reference for a free 515 kb chain. Thus,
our biological controls allow us to define the looped state as
the state that disappears in the ΔCTCF condition. We infer
the number of switches k between the two states by
maximizing the model evidence E. ARTICLE PREPRINT In the second step we then find the best positions for these switches by maximizing the posterior. (D) Illustrative examples of inferred
profiles on real trajectory data. (E) Kaplan-Meier survival curves rescaled by the inferred looped fraction. Gray lines are maximum likelihood fits of a
single exponential to the data, accounting for censoring (Supplementary Material). (F) Fraction of time the Fbn2-locus spends in the fully looped
conformation for each of our experimental conditions. Error bars are bootstrapped 95% confidence intervals. (G) Median loop lifetimes from the
Kaplan-Meier survival curves (squares) or exponential fits (crosses). Confidence intervals are determined from the confidence intervals on the
Kaplan-Meier curve and the likelihood function of the exponential fit, respectively. Where the upper confidence limit on the survival curve did not
cross below 50% an arrowhead indicates a semi-infinite confidence interval. 4 . CC-BY 4.0 International license
available under a
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(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprint
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bioRxiv preprint ARTICLE PREPRINT ARTICLE PREPRINT Fraction of time in different conformations was extracted from simulation ground truth, using effective
tether lengths of 1.1 kb and 505 kb as cutoffs to define “fully looped” and “fully unlooped” respectively. Fraction of TAD unextruded was obtained as
mean tether length over the full simulation. Experimental values are from Figs. 2, 3. 5 . CC-BY 4.0 International license
available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprint
this version posted December 13, 2021. ;
https://doi.org/10.1101/2021.12.12.472242
doi:
bioRxiv preprint . CC-BY 4.0 International license
available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprint
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doi:
bioRxiv preprint ARTICLE PREPRINT other similarly sized loops in mESCs are likely weaker than
Fbn2 (Fig. S14). Our results thus rule out static models of
TADs, where TADs exist in either a fully unlooped state or
a fully looped state stably bridged by one cohesin (Fig. 1B). Instead, we show that the Fbn2 TAD most often exists in a
partially extruded state formed by a few cohesins in live
cells (~92%; Fig. 4D), and that when the rare looped state is
formed, it is both transient (~10-30 min median lifetime;
Fig. 4B) and sometimes bridged by multiple cohesins (Fig. 4C). Overall, frequent cohesin-mediated contacts within a
TAD rather than rare CTCF-CTCF loops may therefore be
more important for regulatory interactions, such as those
between enhancers and promoters. Thus, instead of stable
loops, we observe a much more dynamic and transitory
picture of TADs in live cells (Fig. 4D), which may also
help explain cell-to-cell variation in 3D genome structure,
and consequently stochasticity in downstream processes
such as gene expression and cell differentiation. necessary to reproduce both these features in our
simulations (Fig. 4, S12; Supplementary Material),
consistent with recent reports (32, 33) (Fig. 4, S12;
Supplementary Material). We confirmed this effect using
iFRAP of cohesin, finding that CTCF depletion decreases
cohesin’s residence time (Fig. S13). Incorporating this
effect, we then simulated loop extrusion with a cohesin
density of 1/240 kb and processivity of 150 kb (processivity
= lifetime * extrusion speed). Acknowledgements We thank Drs. Robert Tjian and Xavier Darzacq for hosting early
parts of this work, Dr. Jeffrey Alexander for providing the RNA
destabilization elements, Lydia Joh for assistance with cloning,
and the Hansen, Zechner, and Mirny labs for insightful
discussions. Funding: This work was supported by NIH grants
R00GM130896 (ASH), DP2GM140938 (ASH), R33CA257878
(ASH), UM1HG011536 (ASH and LM), R01GM114190 (LM), NSF
grant 2036037 (ASH), the Mathers’ Foundation (ASH), a Pew-
Stewart
Cancer
Research
Scholar
grant
(ASH),
Chaires
d'excellence Internationale Blaise Pascal (LM), American-Italian
Cancer Foundation research fellowship (MG), and core funding
from the Max Planck Institute of Molecular Cell Biology and
Genetics (CZ). Author contributions: ASH conceived and
initiated the project. HBB, MG, SGH, LM, CZ, ASH designed the
project. ASH performed genome-editing and generated the cell
lines. GMD cloned plasmids. MG, AJ, CC, and ASH characterized
and validated the cell lines. THSH performed Micro-C. CC
performed ChIP-Seq. MG, AJ, and HBB optimized imaging
experiments with input from ASH. MG, AJ, and HBB collected the
imaging data with acquisition led by MG and AJ. MG and AJ
performed control experiments and characterized the AID cell
lines. HBB developed image processing pipeline, the CNN, and
analyzed the imaging data with input from ASH, SGH, MG, and
AJ. HBB performed polymer simulations with input from SGH and
LM. MG, AJ, HBB, and ASH annotated trajectory data. SGH and
CZ designed BILD with input from HBB, LM, and ASH. SGH
developed and benchmarked BILD, applied BILD to trajectory
data, and developed MSD analysis with input from HBB and CZ. HBB and SGH analyzed polymer simulations. ASH, LM, and CZ
supervised the project. HBB, MG, SGH, AJ, and ASH drafted the
manuscript and figures. All authors edited the manuscript and
figures. Competing interests: Authors declare that they have no
competing interests. Data and materials availability: All the data
and code are available as described in the supplementary
materials. The GEO accession number is GSE187487. ARTICLE PREPRINT When cohesin reaches a
CTCF site, it has a probability of 12.5% to stall, which,
using the estimate of 50% CTCF occupancy (34), translates
to a ~25% capture efficiency of CTCF. Once stalled by
CTCF, cohesin is stabilized 4-fold beyond its base lifetime
of ~20 min (35) (Fig. S13), facilitating the formation of
longer loops. These simulations reproduced both our
experimental Micro-C maps (Fig. 4A) and the median loop
lifetime and low looped fraction (Fig. 4B). Together, these results allow us to paint a
comprehensive mechanistic picture of the Fbn2 TAD (Fig. 4C-D): most of the time (~92%), the TAD is partially
extruded, with ~57-61% of the Fbn2 region captured in ~1-
3 extruding cohesin loops, while ~39-43% remain
unextruded. The fully unlooped conformation, as it would
be found in the absence of cohesin, occurs only ~6% of the
time, while the fully looped state is even more rare at ~3%
(~2% in simulations) and has a median lifetime of ~10-30
min. Interestingly, our simulations reveal that the looped
state is sometimes held together by multiple cohesins (Fig. 4C), which also explains why the loop lifetime can be
substantially shorter than the CTCF-stabilized cohesin
lifetime (Fig. S13). Nevertheless, we stress that both the
mechanistic assumptions of our polymer simulations and
the experimental data constraining them are associated with
uncertainty, resulting in uncertainty of the inferred
parameters (Fig. 4D). We also note that TADs smaller than
the 505 kb Fbn2 TAD as well as TADs with stronger CTCF
boundaries may have a higher looped fraction (Giorgetti
and co-workers, personal communication). Furthermore, we
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https://doi.org/10.1101/2021.12.12.472242
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bioRxiv preprint . CC-BY 4.0 International license
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Stefano, A. Valeri, D. Chamousset, C. Houbron, S. Déjardin, J.-
B. Fiche, I. González, J.-M. Chang, T. Sexton, M. A. Marti- 7 . CC-BY 4.0 International license
available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprint
this version posted December 13, 2021. ;
https://doi.org/10.1101/2021.12.12.472242
doi:
bioRxiv preprint . CC-BY 4.0 International license
available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprint
this version posted December 13, 2021. ;
https://doi.org/10.1101/2021.12.12.472242
doi:
bioRxiv preprint ARTICLE PREPRINT eLife. 8, e40164 (2019). g ,
y ,
,
y,
Ellenberg, X. Darzacq, R. Tjian, A. S. Hansen, Determining
cellular CTCF and cohesin abundances to constrain 3D genome
models. eLife. 8, e40164 (2019). 30. T.-H. S. Hsieh, C. Cattoglio, E. Slobodyanyuk, A. S. Hansen, X. Darzacq, R. Tjian, bioRxiv, in press,
doi:10.1101/2021.07.14.452365. 30. T.-H. S. Hsieh, C. Cattoglio, E. Slobodyanyuk, A. S. Hansen, X. Darzacq, R. Tjian, bioRxiv, in press,
doi:10.1101/2021.07.14.452365. 31. J. H. I. Haarhuis, R. H. van der Weide, V. A. Blomen, J. O. Yáñez-Cuna, M. Amendola, M. S. van Ruiten, P. H. L. Krijger, H. Teunissen, R. H. Medema, B. van Steensel, T. R. Brummelkamp E de Wit B D Rowland The Cohesin Release 35. A. S. Hansen, I. Pustova, C. Cattoglio, R. Tjian, X. Darzacq, CTCF and cohesin regulate chromatin loop stability
with distinct dynamics. eLife. 6, e25776 (2017). O. Yáñez-Cuna, M. Amendola, M. S. van Ruiten, P. H. L. Krijger, H. Teunissen, R. H. Medema, B. van Steensel, T. R. Brummelkamp, E. de Wit, B. D. Rowland, The Cohesin Release 8
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English
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Organized cannabinoid receptor distribution in neurons revealed by super-resolution fluorescence imaging
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bioRxiv (Cold Spring Harbor Laboratory)
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1 iHuman Institute, ShanghaiTech University, 201210 Shanghai, China. 2 University of the Chinese Academy of Sciences, 100049 Beijing, China. 3 School of
Life Science and Technology, ShanghaiTech University, 201210 Shanghai, China. 4 Department of Medical Neuroscience, Dalhousie University, Halifax, NS
B3H 4R2, Canada. 5These authors contributed equally: Hui Li, Jie Yang, Cuiping Tian. ✉email: zhongsh@shanghaitech.edu.cn NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications ARTICLE ARTICLE Organized cannabinoid receptor distribution
in neurons revealed by super-resolution
fluorescence imaging The discovery of the MPS, and the many
studies that have characterized cellular structures across different
cell types9,10, demonstrate the power of super-resolution imaging
for uncovering intracellular structures at the nano-scale. Recently,
using a type of super-resolution imaging called STORM, Zhou
et al.11 proposed a model where CB1 forms a periodic pattern
when activated. They found a ~190 nm periodic pattern of CB1 in
cultured hippocampal neurons exclusively under the adminis-
tration of agonists. A previous study, using a similar imaging
technology, also revealed distinct CB1 structures across different
cell types in the brain, but showed no sign of a periodic pattern12. Thus, the intracellular organization of CB1 in neurons remains
unclear. To avoid artifacts caused by fixation procedures, we performed
live super-resolution imaging on cultured neurons. To this end,
we used structured illumination microscopy (SIM), a type of
super-resolution imaging that is suitable for investigating the
live structure of cellular molecules at high spatial resolution15. Using SIM microscopy, with a spatial resolution around 122 nm
(Supplementary Fig. 2e), we revealed clusters of CB1 in cultured
neurons, and those clusters appeared highly organized as hotspots
in some regions of axons (Supplementary Fig. 2f–h). Again, CB1
exhibited both high and low periodic hotspots (Supplemen-
tary Fig. 2f–h). The spatial distance between periodic hotspots
was ~190 nm, which was comparable to our results with antibody
labeling in fixed preparations (Fig. 1g). Notably, the regular-
ity of the CB1 structure in cultured neurons was higher than that
in the brain (Fig. 1h). Therefore, we conclude that there is a
commonality
of
the
semi-periodic
feature
of
CB1
in
neurons, an unexpected characteristic of GPCRs in the cellular
membrane. Herein, by employing another type of super-resolution ima-
ging, called stimulated emission depletion (STED), we system-
atically investigated the nano-structure of CB1 and other GPCRs
in brain tissues and primary cultured neurons. Our results
revealed a periodic structure of CB1 clusters along the axons of
inhibitory interneurons. These CB1 clusters were organized into
“hotspots” ~190 nm apart. Using dual-color STED imaging and
cellular biology techniques, we demonstrated that the CB1 hot-
spots were associated with the MPS. The CB1 hotspots exhibited
confined dynamics, which were reduced by receptor activation. Thus, our current studies demonstrate that the ~190 nm periodic
structure of the cytoskeleton appears to
be the backbone for
intracellular signaling to occur. CB1 is associated with MPS in neurons. Organized cannabinoid receptor distribution
in neurons revealed by super-resolution
fluorescence imaging Hui Li1,5, Jie Yang1,2,3,5, Cuiping Tian1,5, Min Diao1, Quan Wang1,2,3, Simeng Zhao
1, Shanshan Li1,
Fangzhi Tan
1, Tian Hua
1, Ya Qin3, Chao-Po Lin3, Dylan Deska-Gauthier4, Garth J. Thompson
1,
Ying Zhang4, Wenqing Shui1,3, Zhi-Jie Liu
1,3, Tong Wang3 & Guisheng Zhong
1,3✉ G-protein-coupled receptors (GPCRs) play important roles in cellular functions. However,
their intracellular organization is largely unknown. Through investigation of the cannabinoid
receptor 1 (CB1), we discovered periodically repeating clusters of CB1 hotspots within the
axons of neurons. We observed these CB1 hotspots interact with the membrane-associated
periodic skeleton (MPS) forming a complex crucial in the regulation of CB1 signaling. Fur-
thermore, we found that CB1 hotspot periodicity increased upon CB1 agonist application, and
these activated CB1 displayed less dynamic movement compared to non-activated CB1. Our
results suggest that CB1 forms periodic hotspots organized by the MPS as a mechanism to
increase signaling efficacy upon activation. 1 iHuman Institute, ShanghaiTech University, 201210 Shanghai, China. 2 University of the Chinese Academy of Sciences, 100049 Beijing, China. 3 School of
Life Science and Technology, ShanghaiTech University, 201210 Shanghai, China. 4 Department of Medical Neuroscience, Dalhousie University, Halifax, NS
B3H 4R2, Canada. 5These authors contributed equally: Hui Li, Jie Yang, Cuiping Tian. ✉email: zhongsh@shanghaitech.edu.cn 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 G
-protein-coupled receptors (GPCRs) are a large family of
membrane proteins that play important roles in cellular
functions by initializing a variety of intracellular processes
via neurotransmitters and hormone signaling. To fulfill their
function, GPCRs are likely anchored by cellular skeletal structures
facilitating their interactions with intracellular protein complexes. Therefore, their membrane organization and relationship with
skeleton proteins, which are still largely unknown, is likely critical
for their cellular function. In addition, it would be important to
know if diverse GPCRs share similar structural organizations. distributed in the axons of inhibitory interneurons, especially in
those of cholecystokinin (CCK)-positive inhibitory interneurons
(Supplementary Fig. 1c, d)12. CB1 did express much lower in
myelinated axons and in the axons of excitatory neurons (Sup-
plementary Fig. 1e, f). p
y
g
While we confirmed that CB1 was distributed in the axon shaft,
the nature of its distribution was unknown. STED imaging is
known to be well suited for studying the nano-scale structure of
cellular components in fixed preparations9,13. Therefore, we
undertook STED imaging, with a spatial resolution around 70 nm
(Supplementary Fig. Organized cannabinoid receptor distribution
in neurons revealed by super-resolution
fluorescence imaging 2a), of immunolabeled hippocampal tissues
to examine CB1 organizations along the axon shaft. CB1 displayed
hotspots both with and without apparent periodicity within axons
of the same axonal segment (Fig. 1a–c). We quantified the degree
of
periodicity
using
one-dimensional
(1D)
autocorrelation
analysis by projecting the signals to the longitudinal axis of the
axon and calculating the average 1D autocorrelation function
over many axon segments8,14. The 1D autocorrelation amplitude,
defined as the average amplitude of the peaks at ~190 nm,
quantifies the degree of periodicity of the CB1 hotspots8,14. Most GPCRs are expressed at low levels in native tissue. Typically, investigators must overexpress them in cultured cells in
order to study their structures and functions. The cannabinoid
receptor 1 (CB1) is one of the highest-expressed GPCRs in the
central nervous system, making it feasible to study in its natural
state1. CB1 is important for many biological functions such as pain,
mood and memory2–5. Recent structural studies have revealed the
isolated atomic arrangement of CB1 6,7. However, these studies
have primarily used X-ray crystallography or cryo-electron
microscopy techniques that require high concentrations of well-
purified proteins in detergent solution. CB1 structure has rarely
been studied within cells in combination with signaling proteins,
integral membrane proteins, or other membrane-associated pro-
teins. Thus, the CB1 cellular structure remains incomplete, lim-
iting our ability to fully exploit its function. To identify whether CB1 possess a similar distribution in other
brain regions, we performed STED imaging in the cortex, and
observed a similar semi-periodicity in neuron axons (Fig. 1d–f). The distance between these rhythmic hotspots was also ~190 nm
in the cortex as it was hippocampus (Fig. 1g). Next, we imaged
the structure of CB1 from cultured hippocampal neurons. We
found that antibody-labeled CB1 exhibited hotspots with both
high and low degree of periodicity in axons of cultured neurons
(Supplementary Fig. 2b–d). These results are comparable to the
in vivo results above (Fig. 1a–c). g
y
y
Super-resolution microscopy, an imaging method that over-
comes the diffraction limit of conventional microscopy, has led to
the discovery of the membrane-associated periodic skeleton
(MPS) in the axons of neurons8. This highly ordered sub-
membrane skeletal structure can play many roles in neuronal
function, including acting as
a flexible mechanical support,
organizing membrane protein distribution, and the development
of axons and dendrites. Organized cannabinoid receptor distribution
in neurons revealed by super-resolution
fluorescence imaging The semi-periodic
organization of CB1 in axons raised two important questions, how
is the CB1 semi-periodic organization formed and what are the
complexes related to the semi-periodic organization of CB1? To
answer the first question, we need to identify the components
associated with the semi-periodic complex of CB1 in native states. To this end, we performed mass spectrometry (MS) experiments
with modifications to increase the enrichment of membrane
proteins in six different regions of the mouse brain (Supple-
mentary Fig. 3). We found that CB1 was expressed at different
levels in the six brain regions and that the expression level par-
alleled the AMPA specific glutamate receptor 1 and N-methyl-D-
aspartate (NMDA) receptor (Supplementary Fig. 3a), which are
known to crosstalk with CB1 in the central nervous system16,17. Furthermore, we observed the association of GPCR-related sig-
naling molecules with CB1 (such as Gi, tyrosine-protein kinase NS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications Results CB1 exhibits semi-periodic hotspots in neurons. To study the
structure of CB1 in vivo, we first demonstrated the specificity of
our CB1 antibody labeling (Supplementary Fig. 1a, b). We found,
in agreement with previous findings, that CB1 is mainly URE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications 2 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 1.0
0.5
0.0
1.0
0.5
0.0
- 1
- 1
f
e
1.0
0.5
0.0
–0.5
–1.0
1000
0
–1000
500
–500
Lag (nm)
1.0
0.5
0.0
500
1000
0
Distance (nm)
1.0
0.5
0.0
Autocorrelation
Normalized
intensity
Normalized
intensity
b
c
d
a
Hippocampus
Confocal
STED
Cortex
Confocal
0.5 µm
STED
Distance (nm)
0.0
0.2
0.4
0.6
0.8
HC
Cortex
Fixed
Live
Autocorrelation
amplitude
Brain tissue
Primary culture
g
h
0
100
HC
Cortex
Fixed
Live
Brain tissue
Primary culture
50
150
200
250
Normalized
intensity
Normalized
intensity
1.0
0.5
0.0
–0.5
–1.0
Autocorrelation
1.0
0.5
0.0
–0.5
–1.0
Autocorrelation
1.0
0.5
0.0
–0.5
–1.0
Autocorrelation
1000
0
–1000
500
–500
Lag (nm)
1000
0
–1000
500
–500
Lag (nm)
1000
0
–1000
500
–500
Lag (nm)
500
1000
0
Distance (nm)
500
1000
0
Distance (nm)
500
1000
0
Distance (nm)
0.5 µm
Fig. 1 Periodic hotspots of CB1 of varying strength in axons from brain tissue. a Representative confocal and corresponding STED images of CB1 in
the hippocampus of mature C57 mice. N = 3 biological replicates. b, c Intensity plotted along the lines in the box regions (top graph). Autocorrelation
analysis for the confocal and STED images (bottom graph). d–f Similar to (a–c), but in the cortex region of mature C57 mice. N = 3 biological replicates. g Histogram of CB1 spacing in different samples, live and fixed hippocampal neurons, brain tissue of the hippocampus (HC) and cortex. Data are mean ± s.e. m. (N = 3 biological replicates; 70–120 axonal regions were examined per condition). p = 0.09, (no significance), one-way ANOVA. Actual spacing (from
left to right), 192 ± 0.8 nm, 192 ± 0.8 nm, 187 ± 2 nm, 190 ± 2 nm. h Amplitude of the average autocorrelation functions calculated from randomly selected
axon segments in different samples. p = 0.13 (no significance), one-way ANOVA. Actual autocorrelation amplitude (from left to right), 0.28 ± 0.02, 0.24 ±
0.03, 0.21 ± 0.01, 0.23 ± 0.02. Data in (g, h) are mean ± s.e.m. Results (N = 3 biological replicates; 70–120 axonal regions were examined per condition). Source
data are provided as a Source Data file. a
Hippocampus
Confocal
STED
0.5 µm d
Cortex
Confocal
0.5 µm
STED d a 0.5 µm
STED STED
0.5 µm 1.0
0.5
0.0
- 1
f
Normalized
intensity
1.0
0.5
0.0
–0.5
–1.0
Autocorrelation
1000
0
–1000
500
–500
Lag (nm)
500
1000
0
Distance (nm) 1.0
0.5
0.0
–0.5
–1.0
1000
0
–1000
500
–500
Lag (nm)
1.0
0.5
0.0
500
1000
0
Distance (nm)
Autocorrelation
Normalized
intensity
b f 1.0
0.5
0.0
Normalized
intensity
c
1.0
0.5
0.0
–0.5
–1.0
Autocorrelation
1000
0
–1000
500
–500
Lag (nm)
500
1000
0
Distance (nm) 1.0
0.5
0.0
- 1
e
Normalized
intensity
1.0
0.5
0.0
–0.5
–1.0
Autocorrelation
1000
0
–1000
500
–500
Lag (nm)
500
1000
0
Distance (nm) b c e Distance (nm)
g
0
100
HC
Fixed
Live
Brain t
Primary culture
50
150
200
250 HC
Cortex
Brain tissue 0.0
0.2
0.4
0.6
0.8
HC
Cortex
Fixed
Live
Autocorrelation
amplitude
Brain tissue
Primary culture
h h g Fig. 1 Periodic hotspots of CB1 of varying strength in axons from brain tissue. a Representative confocal and corresponding STED images of CB1 in
the hippocampus of mature C57 mice. N = 3 biological replicates. b, c Intensity plotted along the lines in the box regions (top graph). Autocorrelation
analysis for the confocal and STED images (bottom graph). d–f Similar to (a–c), but in the cortex region of mature C57 mice. N = 3 biological replicates. g Histogram of CB1 spacing in different samples, live and fixed hippocampal neurons, brain tissue of the hippocampus (HC) and cortex. Data are mean ± s.e. m. (N = 3 biological replicates; 70–120 axonal regions were examined per condition). p = 0.09, (no significance), one-way ANOVA. Actual spacing (from
left to right), 192 ± 0.8 nm, 192 ± 0.8 nm, 187 ± 2 nm, 190 ± 2 nm. h Amplitude of the average autocorrelation functions calculated from randomly selected
axon segments in different samples. p = 0.13 (no significance), one-way ANOVA. Actual autocorrelation amplitude (from left to right), 0.28 ± 0.02, 0.24 ±
0.03, 0.21 ± 0.01, 0.23 ± 0.02. Data in (g, h) are mean ± s.e.m. (N = 3 biological replicates; 70–120 axonal regions were examined per condition). Source
data are provided as a Source Data file. NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunicati Results Then, to demonstrate the associatio
complex components identified, we carri
another type of imaging assay that r
h
i
l di t ib ti
f t
bj
t 19 It
CB1-ankB
WT
30 μm
CB1-ankB
cnr1−/−
30 μm
500
1000
0
1.0
0.5
0.0
500
1000
0
Normalized
intensity
1D Cross-correlation
1.0
0.5
0.0
–0.5
600
–600
0
1.0
0.5
0.0
–0.5
Lag (nm)
600
–600
0
1D Cross-correlation
Lag (nm)
Distance (nm)
Distance (nm)
c
CB1/βII-spectrin
0.5 μm
βII-spectrin
CB1
b
a
200 kDa
52 kDa
ankB
CB1
IB
IP:
CB1-ankB
CB1 ICL3-ankB
CB1 C terminal-ankB
*
CB1 IgG
Input
g
Ratio r
0
5
10
15
*
**
**
CB1 ICL3/-ankB
CB1-ankB
h
10 μm
ankB
CB1 C-term-
d
f
e
CB1-ankB
10 μm
20
1.0
0.5
0.0
Normalized
intensity pattern of CB1 with the MPS Indeed at periodic hotspots CB1
unambiguously show that CB1 forms a semi-periodic complex
CB1-ankB
WT
30 μm
CB1-ankB
cnr1−/−
30 μm
500
1000
0
1.0
0.5
0.0
500
1000
0
Normalized
intensity
1D Cross-correlation
1.0
0.5
0.0
–0.5
600
–600
0
1.0
0.5
0.0
–0.5
Lag (nm)
600
–600
0
1D Cross-correlation
Lag (nm)
Distance (nm)
Distance (nm)
c
CB1/βII-spectrin
0.5 μm
βII-spectrin
CB1
b
a
200 kDa
52 kDa
ankB
CB1
IB
IP:
CB1-ankB
CB1 ICL3-ankB
CB1 C terminal-ankB
*
CB1 IgG
Input
g
Ratio r
0
5
10
15
*
**
**
CB1 ICL3/-ankB
CB1-ankB
h
10 μm
ankB
CB1 C-term-
d
f
e
CB1-ankB
10 μm
20
1.0
0.5
0.0
Normalized
intensity CB1/βII-spectrin
0.5 μm
βII-spectrin
CB1
a b c c c 500
1000
0
1D Cross-correlation
1.0
0.5
0.0
–0.5
600
–600
0
Lag (nm)
Distance (nm)
1.0
0.5
0.0
Normalized
intensity 1.0
0.5
0.0
500
1000
0
Normalized
intensity
1.0
0.5
0.0
–0.5
Lag (nm)
600
–600
0
1D Cross-correlation
Distance (nm) CB1-ankB
CB1 ICL3-ankB
CB1 C terminal-ankB
*
Ratio r
0
5
10
15
*
**
**
CB1 ICL3/-ankB
CB1-ankB
h
10 μm
ankB
CB1 C-term-
20 h CB1-ankB
WT
30 μm
d CB1-ankB
cnr1−/−
30 μm
e e d WT
d WT WT f f
CB1-ankB
10 μm g 200 kDa
52 kDa
ankB
CB1
IB
IP:
CB1 IgG
Input
g unambiguously show that CB1 forms a semi-periodic complex
associated with the MPS. pattern of CB1 with the MPS. Results and Fyn), indicating the reliability of our modified MS method
(Supplementary Fig. 3b). a tight association between CB1 and MPS components. To test the
above view, we carried out two independent types of experiments,
two-color STED imaging and proximity ligation assays (PLA)19. First, we visualized the spatial relation of CB1 and MPS molecules
by dual-color STED imaging. The MPS was visualized through
immunolabelling of the C-terminus of βII-spectrin, which is
located at the center of each spectrin tetramer connecting
adjacent actin rings14,18. We quantified the extent of colocaliza-
tion between CB1 and βII-spectrin using 1D cross-correlation
analysis to calculate the average 1D cross-correlation function
between the two color channels over randomly chosen axon
segments8. At periodic hotspots, CB1 displayed high colocaliza-
tion
with βII-spectrin
while
at
nonperiodic clusters,
CB1
displayed little colocalization with βII-spectrin (Fig. 2a–c). Previous studies demonstrated that ankB mediated the attach-
ment of membrane proteins to the MPS, and is located in the
middle region of each spectrin tetramer18,20. Thus, we reasoned
that CB1’s interaction with ankB may organize the semi-periodic Next, we compared the expression extent of selected MPS
components with CB1 expression. While different isoforms of
ankyrin expressed across different functional domains of neurons,
ankyrin-B (ankB) is predominantly distributed in the axons of
neurons14,18. Our MS experiments indicated that the expression
level of CB1 was highly correlated to that of ankB, but not
ankyrin-R (ankR) (Supplementary Fig. 3a). Further, the expres-
sion level of CB1 was correlated to that of both αII-spectrin and
βII-spectrin (Supplementary Fig. 3a) while other membrane
proteins seem unrelated to the expression
levels of CB1
(Supplementary Fig. 3c). Earlier studies showed that MPS, like ankyrin, spectrin,
displayed a highly coordinated pattern with an interval around
190 nm, which resembles the structure of CB1 in some regions of
neurons revealed both by STED and SIM imaging experiments. Thus, consistent with our MS experimental results, there could be NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications 3 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 ith the MPS. Indeed, at periodic hotspots, CB1
olocalization with ankB while at nonperiodic
played little colocalization with ankB (Supple-
–c). Furthermore, the spatial distance between
tspots was comparable to both those of βII-
kB (S
l
t
Fi
4d)
Th
lt
unambiguously show that CB1 forms a
associated with the MPS. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 CB1 connects to
the MPS through ankB forming semi-periodic hotspots. As such,
we would expect CB1 to display confined dynamics by interacting
with the MPS through ankB. We investigated the dynamics of
individual hotspots of CB1 with live SIM imaging. Neurons were
ectopically expressed with a CB1-RFP fusion protein (RFP protein
is fused to the end of CB1 C-terminal) and live SIM images were
acquired 1 day after transfection. In order to identify whether
CB1-RFP was recruited to the native site, we performed two-color
STED imaging of CB1-RFP and βII-spectrin. CB1-RFP displayed
highly periodic hotspots that colocalized with βII-spectrin, as well
as nonperiodic clusters that did not colocalize with βII-spectrin
(Supplementary Fig. 6a–c) These results were similar to the
spatial distribution between CB1 and βII-spectrin (Fig. 2a–c),
supporting that CB1-RFP is transported to CB1 native sites. We
proceeded to examine the dynamics of CB1-RFP using live SIM
imaging. Periodic CB1 hotspots were confined to movements
around their starting positions displaying confined displacement
changes (average 69 nm) between time frames (Fig. 3a–c). Averaged autocorrelation analysis of CB1 at different time frames
showed a similar periodic distribution, indicating that CB1 clus-
ters maintained their periodicity through time (Fig. 3d). The
cross-correlation of neighboring time points was calculated
showing that the average cross-correlation value peaked at zero
point (Fig. 3e), indicating little or no systematic shift of the CB1
periodicity across different time frames. The periodic wavelength
was around 190 nm at different time frames (Fig. 3f). We com-
piled the moving traces of individual hotspots of CB1 that clearly
indicated confined movement both at short (2 min) (Fig. 3g) and
longer (6 min) (Supplementary Fig. 7a–g) imaging time frames. The moving traces between the two time frames were comparable
(Supplementary Fig. 7h), suggesting that CB1 displayed a con-
fined movement around its anchoring point, likely mediated by
ankB. p y
p
In order to show that CB1 interacted with ankB in tetracycline-
induced CB1-CHO cells, we performed immunoprecipitation
experiments (Fig. 2g). To identify which parts of CB1 may
mediate the interaction between CB1 and ankB, we truncated the
third intracellular loop (ICL3) or C terminal of CB1. Notably, the
PLA signals were significantly decreased in both conditions,
suggesting that both regions, ICL3 and C-terminal, play a role in
the interaction between CB1 and ankB (Fig. 2h), and that neither
region alone is sufficient to mediate their interaction. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 ARTICLE Fig. 2 CB1 hotspots are connected with components of the MPS. a Two-color STED images of CB1 (magenta) and βII-spectrin (green) in the axons
of cultured neurons. N = 3 biological replicates. b, c Top, enlarged images taken from white boxes from (a). 1D projection traces of βII-spectrin (green)
and CB1 (magenta) signals along the axon are shown in the middle. 1D cross-correlation functions between the distributions of CB1 and βII-spectrin
from CB1-positive axon segments are shown in the bottom. d–f PLA was performed in cultured neurons of WT mouse (d), cnr1−/−mouse (e), and
tetracycline-induced CB1 transfected CHO cells (f) with antibody of CB1 and ankB. Cell nuclei were stained with DAPI (blue). N = 3 biological replicates. g Immunoprecipitation of CB1 and ankB in CB1-CHO cells. Samples were processed for immunoprecipitation with either anti-CB1 or IgG control antibodies. Immunoprecipitates were immunoblotted with the anti-CB1 antibody (55kD) and anti-ankB antibody (220kD). N = 2 biological replicates. h PLA was
performed in HEK-293T cells coexpressing ankB and different fragments of CB1, including wild type (CB1), CB1 with truncated ICL3 loop (CB1ΔICL3), or CB1
with truncated C-terminal (CB1ΔC-term). ratio r from left to right: 14.1 ± 0.5, 6.3 ± 0.4, 5.5 ± 0.4. Data are mean ± s.e.m. (N = 3 biological replicates; 25–50
imaging regions were examined per condition). ***p < 0.0001, statistical analysis was performed by unpaired two-tailed Student’s t test. Source data are
provided as a Source Data file. components mediating the CB1 distribution pattern in axons,
such as the nonperiodic organization in presynaptic sites. and βII-spectrin closely distribute in neurites. Indeed, in cnr1−/−
mouse, PLA signal with α-adducin and βII-spectrin was not
changed (Supplementary Fig. 5a, b), indicating the reliability of
PLA to detect proteins within a short distance. Then, we
determined whether CB1 localizes closely with MPS components
in cultured neurons. PLA signals of CB1 and ankB were observed
in cultured primary neurons (Fig. 2d), but no PLA signals were
detected in the cnr1−/−mouse neurons (Fig. 2e). Upon the
induction of CB1 in the presence of tetracycline, close physical
distances were detected between CB1 and several MPS compo-
nents, including ankB and βII-spectrin in CB1-CHO cell lines
(Fig. 2f and Supplementary Fig. 5c, d). Together, these results
from neurons and inducible CB1-CHO cell lines clearly illustrate
the close physical distance between CB1 and MPS components. CB1 displays confined dynamics in neurons. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 Together,
these results support the view that CB1 may form a complex with
cytoskeleton-related proteins, such as ankB, αII-spectrin and βII-
spectrin. CB1 structure in different compartments of axons. We exam-
ined whether the close relation between CB1 and cytoskeleton
components locates in axons or dendrites of neurons. In order to
achieve this, we first performed PLA labeling, and then immu-
nolabeled either axons or dendrites with tuj1 or MAP2 antibody,
respectively. Our results show that the PLA signal between CB1
and ankB substantially diminished after the second round of
immunolabeling. We further explored the PLA signal between
CB1 and spectrin, which can survive the immunolabeling proce-
dure. Our results clearly showed that the PLA signal located in
axons but not in dendrites (Supplementary Fig. 5e–f), indicating
that CB1 is associated with MPS components specifically in axons. CB1 structure in different compartments of axons. We exam-
ined whether the close relation between CB1 and cytoskeleton
components locates in axons or dendrites of neurons. In order to
achieve this, we first performed PLA labeling, and then immu-
nolabeled either axons or dendrites with tuj1 or MAP2 antibody,
respectively. Our results show that the PLA signal between CB1
and ankB substantially diminished after the second round of
immunolabeling. We further explored the PLA signal between
CB1 and spectrin, which can survive the immunolabeling proce-
dure. Our results clearly showed that the PLA signal located in
axons but not in dendrites (Supplementary Fig. 5e–f), indicating
that CB1 is associated with MPS components specifically in axons. Then, we used specific antibodies to label different regions of
axons, such as axon initial segments (AISs) with βIV-spectrin
antibody or presynaptic sites with VGAT antibody. Our results
show that select AISs express CB1 with periodic pattern with an
interval around 190 nm (Supplementary Fig. 5g, h, l–n) while
some AISs did not express CB1 (Supplementary Fig. 5g, i). Interestingly, presynaptic sites with VGAT labeling did express
CB1 (Supplementary Fig. 5j), but most were not periodic
(Supplementary Fig. 5k). Thus, our results indicated that CB1
exhibited a specialized pattern in different regions of axons. Given that ankyrin and spectrin are uniformly distributed with a
regular patter around 190 nm, there are likely some additional Active CB1 associate with MPS and display less dynamics. Results Indeed, at periodic hotspots, CB1
displayed high colocalization with ankB while at nonperiodic
clusters, CB1 displayed little colocalization with ankB (Supple-
mentary Fig. 4a–c). Furthermore, the spatial distance between
periodic CB1 hotspots was comparable to both those of βII-
spectrin and ankB (Supplementary Fig. 4d). These results Then, to demonstrate the association between CB1 and the
complex components identified, we carried out PLA experiments,
another type of imaging assay that reliably detects the close
physical distribution of two subjects19. It is known that α-adducin Then, to demonstrate the association between CB1 and the
complex components identified, we carried out PLA experiments,
another type of imaging assay that reliably detects the close
physical distribution of two subjects19. It is known that α-adducin NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications 4 4 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 CB1
were displayed with coordinated clusters with an interval of
around 190 nm upon WIN application with STED imaging the
immunolabeled CB1 in the primary hippocampal neurons
(Fig. 4a). Next, we imaged CB1 in the presence of antagonist to
test whether blocking CB1 activity had an impact on its organi-
zation. Surprisingly, our results show that CB1 still exhibited a
periodic pattern in some axons with CB1 antagonist, suggesting
that the basal level activation of CB1 might not be necessary for
the periodic organization (Fig. 4a–c). All raw STED images were
included in Supplementary Fig. 8. To test the effect of CB1 acti-
vation on its dynamics, we imaged the dynamics of CB1 in the
primary neurons transfected with CB1-RFP in the presence of 1
p
p
y
Then, we used specific antibodies to label different regions of
axons, such as axon initial segments (AISs) with βIV-spectrin
antibody or presynaptic sites with VGAT antibody. Our results
show that select AISs express CB1 with periodic pattern with an
interval around 190 nm (Supplementary Fig. 5g, h, l–n) while
some AISs did not express CB1 (Supplementary Fig. 5g, i). Interestingly, presynaptic sites with VGAT labeling did express
CB1 (Supplementary Fig. 5j), but most were not periodic
(Supplementary Fig. 5k). Thus, our results indicated that CB1
exhibited a specialized pattern in different regions of axons. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 Given that ankyrin and spectrin are uniformly distributed with a
regular patter around 190 nm, there are likely some additional NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications 5 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 1
2
3
4
5
500 nm
1
2
3
4
5
a
b
x (nm)
)
m
n
(
y
–100
0
100
200
–150
0
150
g
150
0
200
y (nm)
c
0
x (nm)
d
f
e
Autocorrelation
amplitude
1DCross-correlation
amplitude
0 s
60 s
120 s
0
200
600
–200
–600
Lag (nm)
Ave-Autocorrelation
1.0
0.5
0.0
–0.5
0–60 s
0–120 s
n
oit
ale
rr
o
C
-
s
s
o
r
C
D
1
mean velocity
0.60
0.55
0.50
0.45
0.40
0.35
0.30
0 s
60 s 120 s
0.6
0.4
0.2
0
0.8
0-60 s 0 s-120 s
0 s
60 s
120 s
100
200
0
Distance (nm)
150
250
50
150
0
y (nm)
150
0
y (nm)
150
0
y (nm)
150
0
y (nm)
200
0
x (nm)
200
0
x (nm)
200
0
x (nm)
200
0
x (nm)
1.0
0.5
0.0
–0.5
0
200
600
–200
–600
Lag (nm)
B1 hotspots display stable dynamics revealed by live SIM imaging. a Representative live image of transfected CB1-R
2) of the SD rat acquired by SIM. Individual CB1 hotspots are marked with purple balls, and locations of each individ
ith lines. Line colors indicate trace indexes. N = 3 biological replicates. b Five CB1 hotspots shown in (a) with their re
changes from (b) are around 60–70 nm between neighboring time points. d Averaged autocorrelation analysis of CB1
nts with the histogram of the autocorrelation amplitude. p = 0.99 (no significance), one-way ANOVA. Actual autocorre
2, 0.47 ± 0.03, 0.47 ± 0.02. e Averaged cross-correlation analysis between the neighboring frames (0 vs 60 s, 0 vs 120
erties and histogram showing amplitude of average cross-correlation. p = 0.386 (no significance), statistical analysis
ed Student’s t test. Actual cross-correlation amplitude (from left to right), 0.45 ± 0.05; 0.51 ± 0.02. f The histogram of C
0.69 (no significance, one-way ANOVA). Actual spacing (from left to right), 192 ± 0.6, 192 ± 0.7, 191 ± 0.6 nm. Data in (d
gical replicates; 70–120 axonal regions were examined per condition). g Traces of the individual CB1 hotspots over tim
urce Data file. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41 1
2
3
4
5
500 nm
a
mean velocity 1
2
3
4
5
500 nm
1
2
3
4
5
a
b
150
0
200
y (nm)
c
0
x (nm)
mean velocity
150
0
y (nm)
150
0
y (nm)
150
0
y (nm)
150
0
y (nm)
200
0
x (nm)
200
0
x (nm)
200
0
x (nm)
200
0
x (nm) 1
2
3
4
5
b 150
0
200
y (nm)
c
0
x (nm)
150
0
y (nm)
150
0
y (nm)
150
0
y (nm)
150
0
y (nm)
200
0
x (nm)
200
0
x (nm)
200
0
x (nm)
200
0
x (nm) d d
Autocorrelation
amplitude
0 s
60 s
120 s
0
200
600
–200
–600
Lag (nm)
Ave-Autocorrelation
1.0
0.5
0.0
–0.5
0.60
0.55
0.50
0.45
0.40
0.35
0.30
0 s
60 s 120 s e
1DCross-correlation
amplitude
0–60 s
0–120 s
n
oit
ale
rr
o
C
-
s
s
o
r
C
D
1
0.6
0.4
0.2
0
0.8
0-60 s 0 s-120 s
1.0
0.5
0.0
–0.5
0
200
600
–200
–600
Lag (nm) e f
0 s
60 s
120 s
100
200
0
Distance (nm)
150
250
50 f x (nm)
)
m
n
(
y
–100
0
100
200
–150
0
150
g g g Fig. 3 Periodic CB1 hotspots display stable dynamics revealed by live SIM imaging. a Representative live image of transfected CB1-RFP in the primary
neuron (DIV 9–12) of the SD rat acquired by SIM. Individual CB1 hotspots are marked with purple balls, and locations of each individual time points
are connected with lines. Line colors indicate trace indexes. N = 3 biological replicates. b Five CB1 hotspots shown in (a) with their relative locations. c Displacement changes from (b) are around 60–70 nm between neighboring time points. d Averaged autocorrelation analysis of CB1 distributions at
different time points with the histogram of the autocorrelation amplitude. p = 0.99 (no significance), one-way ANOVA. Actual autocorrelation from left to
right, 0.47 ± 0.02, 0.47 ± 0.03, 0.47 ± 0.02. e Averaged cross-correlation analysis between the neighboring frames (0 vs 60 s, 0 vs 120 s) showed similar
distribution properties and histogram showing amplitude of average cross-correlation. p = 0.386 (no significance), statistical analysis was performed by
unpaired two-tailed Student’s t test. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 Actual cross-correlation amplitude (from left to right), 0.45 ± 0.05; 0.51 ± 0.02. f The histogram of CB1 spacing across
time points. p = 0.69 (no significance, one-way ANOVA). Actual spacing (from left to right), 192 ± 0.6, 192 ± 0.7, 191 ± 0.6 nm. Data in (d−f) are mean ± s. e.m. (N = 3 biological replicates; 70–120 axonal regions were examined per condition). g Traces of the individual CB1 hotspots over time. Source data are
provided as a Source Data file. NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications 6 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 Control
CB 1
+RIM
+WIN
Control
Autocorrelation
amplitude
Autocorrelation
amplitude
c
b
**
d
0 200
600
–200
–600
Lag (nm)
Ave-Autocorrelation
1.0
0.5
0.0
–0.5
f
h
***
200 nm
+WIN
CB 1- RFP
CB 1- RFP
Control
Displacement
(nm/min)
+WIN
CB 1
+RIM
CB 1
1 µm
a
0 200
600
–200
–600
Lag (nm)
Ave-Autocorrelation
1.0
0.5
0.0
–0.5
Control
+WIN
e
–200
–100
0
100
200
200
100
0
–100
–200
x (nm)
g
y (nm)
Mean velocity
Mean velocity
0.6
0.4
0.2
0
0.8
Control
+WIN
+RIM
***
0.6
0.4
0.2
0
0.8
Control
+WIN
300
200
100
0
Control
+WIN
Fig. 4 The dynamics of active CB1 hotspots. a Representative STED images of CB1 in primary hippocampal neurons for control, with WIN treatment (500
nM, 10 min) and RIM (1 µM, 10 min) treatment. N = 3 biological replicates. b Average autocorrelation analysis for the STED images of CB1 in different
conditions. c The histogram of autocorrelation amplitude of CB1 (from left to right), 0.28 ± 0.02, 0.38 ± 0.02, 0.25 ± 0.02. p = 0.0003, **p < 0.01, one-way
ANOVA. d Representative live image of transfected CB1-RFP in untreated neurons (top, “Control”), and neurons treated with WIN (bottom, “+WIN”)
acquired by SIM. Individual CB1 hotspots are marked with purple balls, and locations of each individual time points are connected with lines. Line colors
indicate trace indexes. N = 3 biological replicates. e Averaged autocorrelation analysis of CB1 distributions in live neurons. f The histogram of autocorrelation
amplitude of CB1 without and with WIN treatment was shown. ***p < 0.0001, statistical analysis was performed by unpaired two-tailed Student’s t test. Actual autocorrelation amplitude (from left to right), 0.33 ± 0.02, 0.46 ± 0.01. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 g Traces the dynamics of CB1 hotspots without WIN treatment (magenta) and
CB1 hotspots with WIN treatment (blue) over time. h The displacement of CB1 hotspots in different conditions. Control, 83.9 ± 2.5 nm/min. N = 291 spots. WIN, 64.6 ± 2.5 nm/min. N = 225 spots. ***p < 0.0001, statistical analysis was performed by unpaired two-tailed Student’s t test. Data in (c, f, h) are mean
± s.e.m. (N = 3 biological replicates; 70–120 axonal regions were examined per condition). Source data are provided as a Source Data file. Control
CB 1
+WIN
CB 1
+RIM
CB 1
1 µm
a a +RIM
+WIN
Control
b
0 200
600
–200
–600
Lag (nm)
Ave-Autocorrelation
1.0
0.5
0.0
–0.5 Autocorrelation
amplitude
c
**
0.6
0.4
0.2
0
0.8
Control
+WIN
+RIM b
Ave-Autocorrelation 0 200
600
–200
–600
Lag (nm)
Ave-Autocorrelation
1.0
0.5
0.0
–0.5
Control
+WIN
e Autocorrelation
amplitude
f
***
0.6
0.4
0.2
0
0.8
Control
+WIN d d
CB 1- RFP
Control
Mean velocity e e h
***
Displacement
(nm/min)
–200
–100
0
100
200
200
100
0
–100
–200
x (nm)
g
y (nm)
300
200
100
0
Control
+WIN 200 nm
+WIN
CB 1- RFP
Mean velocity h g Fig. 4 The dynamics of active CB1 hotspots. a Representative STED images of CB1 in primary hippocampal neurons for control, with WIN treatment (500
nM, 10 min) and RIM (1 µM, 10 min) treatment. N = 3 biological replicates. b Average autocorrelation analysis for the STED images of CB1 in different
conditions. c The histogram of autocorrelation amplitude of CB1 (from left to right), 0.28 ± 0.02, 0.38 ± 0.02, 0.25 ± 0.02. p = 0.0003, **p < 0.01, one-way
ANOVA. d Representative live image of transfected CB1-RFP in untreated neurons (top, “Control”), and neurons treated with WIN (bottom, “+WIN”)
acquired by SIM. Individual CB1 hotspots are marked with purple balls, and locations of each individual time points are connected with lines. Line colors
indicate trace indexes. N = 3 biological replicates. e Averaged autocorrelation analysis of CB1 distributions in live neurons. f The histogram of autocorrelation
amplitude of CB1 without and with WIN treatment was shown. ***p < 0.0001, statistical analysis was performed by unpaired two-tailed Student’s t test. Actual autocorrelation amplitude (from left to right), 0.33 ± 0.02, 0.46 ± 0.01. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 g Traces the dynamics of CB1 hotspots without WIN treatment (magenta) and
CB1 hotspots with WIN treatment (blue) over time. h The displacement of CB1 hotspots in different conditions. Control, 83.9 ± 2.5 nm/min. N = 291 spots. WIN, 64.6 ± 2.5 nm/min. N = 225 spots. ***p < 0.0001, statistical analysis was performed by unpaired two-tailed Student’s t test. Data in (c, f, h) are mean
± s.e.m. (N = 3 biological replicates; 70–120 axonal regions were examined per condition). Source data are provided as a Source Data file. CB1 agonist, WIN. Periodic CB1 hotspots were confined (Fig. 4d). CB1 displayed higher periodicity as reflected by the higher
autocorrelation amplitude (Fig. 4d, e). Therefore, our results show
that with WIN application, active CB1 moved around their ori-
ginal point to a lesser extent than nonactive CB1 (Fig. 4e). treated cultures with either latrunculinB (latB) or cytochalasin D
(cytoD) to disrupt cytoskeletal structure8,14. We found that fol-
lowing both latB and cytoD treatments, periodic hotspots of CB1
were no longer observed (Fig. 5a, b), suggesting that the cytos-
keleton is important for maintaining the CB1 structure in neu-
rons. Next, we tested whether the cytoskeleton affects CB1
intracellular downstream signaling. CB1 can activate both Akt
and ERK1/221,22. In primary neuron cells, pretreatment with latB
resulted in decreased phosphorylation levels of both Akt and
ERK1/2 in a dose-dependent manner (Supplementary Fig. 10a, b). Thus, these results suggest that the intracellular signaling of CB1
is dependent upon the MPS cytoskeleton (Fig. 5c–e). Next, we used fluorescence recovery after photobleaching
(FRAP) experiments to examine the recovery rate of CB1 after
photobleaching to further study the dynamics of CB1 in culture
neurons. We transfected the neurons with CB1-RFP. We then
measured the half-time recovery rate of CB1. Our results showed
that with WIN application the half-time recovery of CB1 was
slower than in the control, while this effect was blocked with the
application of CB1 antagonist (Supplementary Fig. 9a–c). The
half-time recovery of CB1 was not affected by the application of
agonists of other types of GPCRs, suggesting that the change was
likely caused by CB1 activation (Supplementary Fig. 9c). Thus, our
results show that CB1 displayed less dynamics with receptor
activation. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 Our findings with imaging probes likely reflect the dynamics
of CB1 in neurons as both probes in live neurons displayed a
spatial pattern similar to that of CB1 antibody in fixed neurons. Previous studies have shown that GPCRs form homodimers,
heterodimers, or oligomers to affect their downstream signaling
pathways23–26. can be activated and then some residues of ICL3 region are
phosphorylated and contain more negative charges. By this way,
more negative charged residues after receptor activation could
attract and bind to the positive parts of the disordered domains of
ankB and thus leading to a stronger connection between CB1 and
ankB. This could explain the less movement of CB1 in the pre-
sence of WIN. The exact molecular mechanism underlying the
distinct dynamics of CB1 is an important question and deserves
further investigation. Uncovering the cellular structure of GPCRs has proven to be a
challenging task, as several prior studies did not observe the semi-
periodic organization of CB1 as we did12,11. An early study using
STORM to characterize the CB1 structure in brain tissue did not
observe any sign of organized CB1 pattern in axons. This could be
due to the use of different antibodies, though most is likely
because they did not focus on CB1 in the axonal shaft region, but
instead focused on axonal boutons12. Intriguingly, Zhou et al.11
found that CB1 displays a nonperiodic structure without the
application of WIN, an agonist of CB1, and becomes periodic
upon the administration of WIN. g
Actually, Zhou’s data implied that there was weak CB1 peri-
odicity and colocalization with spectrin at ~190 nm before ago-
nist stimulation11. In the native state, we found that axons
contained a semi-periodic pattern. Most synaptic sites did not
exhibit periodic pattern, implying that the molecular mechanism
to organize the synapses and CB1 complexes may be different. A
small population of AISs had CB1 expression, while the others
did not contain CB1 at all. This might be due to the fact that a
small population of primary neurons in culture are inhibitory. The periodic distribution without application of WIN could be
explained by the fact that constitutive released ligand, such as
2-AG, may activate CB1 to a certain extent and thus lead to the
periodic pattern of CB1. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 CB1
+LatB
CB1
+CytoD
βII-spectrin
+CytoD
βII-spectrin
+LatB
a
CB1/βII-spectrin
+CytoD
0.5 μm
CB1/βII-spectrin
+LatB
0.5 μm
b CB1
+LatB
CB1
+CytoD
βII-spectrin
+CytoD
βII-spectrin
+LatB
a
CB1/βII-spectrin
+CytoD
0.5 μm
CB1/βII-spectrin
+LatB
0.5 μm
Nonactivated
190 nm
190 nm
ERK JNK p38
AKT
cAMP
Gi/o
AC
ERK JNK p38
AKT
cAMP
Gi/o
ERK JNK p38
AKT
cAMP
Gi/o
AC
ERK JNK p38
ERK JNK p38
AKT
AKT
Gi/o
Gi/o
ERK JNK p38
AKT
Gi/o
cAMP
AC
cAMP
AC
cAMP
AC
Activated
Disrupted MPS
CB1
ankB
Spectrin
Actin
c
d
e
b
AC
Fig. 5 Schematic illustration showing CB1 forming dynamic peri-periodic hotspots to increase signaling efficiency. a, b Two-color STED images of CB1
(magenta) and βII-spectrin (green) in neurons treated with LatB (a) and CytoD (b). N = 3 biological replicates. c Without ligand binding, MPS sets the
range for CB1 distribution. d Upon ligand binding, active CB1 are recruited to the MPS and become more periodic, making downstream AKT and ERK
signaling more effective. e MPS degradation leads to less strong periodic clusters of CB1 and thus less downstream signaling. Nonactivated
190 nm
190 nm
c CB1
+LatB
βII-spectrin
+LatB
a
CB1/βII-spectrin
+LatB
0.5 μm c c a ERK JNK p38
AKT
cAMP
Gi/o
AC
ERK JNK p38
AKT
cAMP
Gi/o
ERK JNK p38
AKT
cAMP
Gi/o
AC
Activated
d
AC d CB1
+CytoD
βII-spectrin
+CytoD
CB1/βII-spectrin
+CytoD
0.5 μm
b b CB1
+CytoD
b ERK JNK p38
ERK JNK p38
AKT
AKT
Gi/o
Gi/o
ERK JNK p38
AKT
Gi/o
cAMP
AC
cAMP
AC
cAMP
AC
Disrupted MPS
CB1
ankB
Spectrin
Actin
e βII-spectrin
+CytoD
CB1/βII-spectrin
+CytoD
0.5 μm e ankB Fig. 5 Schematic illustration showing CB1 forming dynamic peri-periodic hotspots to increase signaling efficiency. a, b Two-color STED images of CB1
(magenta) and βII-spectrin (green) in neurons treated with LatB (a) and CytoD (b). N = 3 biological replicates. c Without ligand binding, MPS sets the
range for CB1 distribution. d Upon ligand binding, active CB1 are recruited to the MPS and become more periodic, making downstream AKT and ERK
signaling more effective. e MPS degradation leads to less strong periodic clusters of CB1 and thus less downstream signaling. conditions. Here, we used SIM to investigate the dynamics of
CB1. Discussion
Vi
li
i Visualization of GPCRs in native tissue is necessary for under-
standing the intracellular organization of these receptors in real
physiology. With the recent development of super-resolution
imaging methods, we now can observe the organization of GPCRs
at the cellular and tissue levels12,11. It is also important to
visualize the live dynamics of GPCRs in order to understand
potential functional changes in physiological and pathological CB1 signaling is related to cytoskeleton. To evaluate the
dependence of CB1 periodic hotspots on the cytoskeleton, we TURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications 7 7 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 In conclusion, we found that CB1 is distributed in axons as
organized hotspots separated by approximately 190 nm, in a
similar spatial distribution to the MPS. Especially, CB1 tends to be
more organized as periodic hotspots upon agonist application
suggesting that active CB1 associate more strongly with the MPS. When a GPCR is activated by an agonist, it increases the kinetics
of interaction with G proteins and conducts downstream signal
transduction within hotspots, which are usually confined to the
cytoskeletal and clathrin-forming grids27. Our results suggest that
active CB1 is clustered into hotspots where G proteins or β-
arrestin can easily collide with and form a relatively stable
interaction with intracellular signaling components to increase
signaling efficacy. Our results also indicate that CB1 are anchored
to the MPS, likely by ankB, forming a fundamental structural unit
that may be important for the proper function of neurons. These
units likely form the structural basis for hotspots where signals
transfer from extracellular to intracellular compartments. Our
observation of periodic hotspots of CB1 along axon shafts, and the
role of the cytoskeleton in CB1’s intracellular signaling, indicate a
horizon for the study of structural−functional interaction in
neurons. stained with secondary antibodies as described above in the incubation solution for
1 h at room temperature. After incubation, samples were washed with PBS. Neuron
samples were mounted with ProLong Gold (P36930, Life Technology) and imaged. stained with secondary antibodies as described above in the incubation solution for
1 h at room temperature. After incubation, samples were washed with PBS. Neuron
samples were mounted with ProLong Gold (P36930, Life Technology) and imaged. Perfusion and immunostaining of brain sections. Briefly, adult male C57BL/6
mice and CB1 knockout mice were anesthetized with sodium pentobarbital (40 mg/
kg, i.p.) with no avoidance response to foot pinch. They were then perfused with
normal saline (at 37 °C) and subsequently by ice-cold 4% PFA for fixation. Brains
were post-fixed in 4% PFA for 4 h, then dehydrated in 30% sucrose. Brains were
frozen at −80 °C and then sectioned at 20-μm-thick with the freezing microtome
(Leica CM1950) for immunofluorescence labeling. Methods The HyD time gating was set at 0.3–6 ns for confocal and 0.5–6 ns for
STED, and the power of 633 nm laser and 775 nm laser was 20–30 pW and 7–8
mW, respectively. Other acquiring parameters were similar to the above. Deconvolution of STED images was performed by Huygens software (Scientific
Volume Imaging) with the Huygens classical maximum likelihood estimation
(CMLE) deconvolution algorithm and theoretical Point Spread Functions. The
deconvolution was performed by using Deconvolution Wizard. Deconvolution
parameters were set to match the refractive index (RI) of the mounting media (RI
of ProLong Gold polymerized until complete dry was 1.47) and the RI of the
objective oil (1.518). Detailed deconvolution parameters were as follows,
background, automatic estimation; estimate mode, lowest; area radius, 0.7;
deconvolution algorithm, CMLE; maximum iteration, 40; signal-to-noise ratio,
7–10; quality threshold, 0.001; iteration mode, optimized; PSFs per brick, one PSF;
brick layout, auto. For single-color imaging on fixed brain slices, CB1 was labeled with Alexa Fluor
647, excited by the WLL at 633 nm and depleted by 775 nm laser. The emission
spectrum was set at 657–700 nm. In order to reduce the adverse effect of aberration
and scatter caused by the thickness of tissue, only those processes in close
proximity (<1 μm in z axis) and parallel to cover glasses were chosen to acquire 2D
images. The HyD time gating was set at 0.3–6 ns for confocal and 0.5–6 ns for
STED, and the power of 633 nm laser and 775 nm laser was 20–30 pW and 7–8
mW, respectively. Other acquiring parameters were similar to the above. C57BL/6 female mice and KM mouse strains were used as embryo donors and
pseudo-pregnant foster mothers, respectively. Superovulated female C57BL/6 mice
(3–4 weeks old) were mated to C57BL/6 stud males, and fertilized embryos were
collected from the ampullae. Different concentrations of Cas9 mRNA and sgRNAs
were mixed and co-injected into the cytoplasm of one-cell stage fertilized eggs. After injection, surviving zygotes were transferred into oviducts of KM albino
pseudo-pregnant females and allowed to develop to term. Deconvolution of STED images was performed by Huygens software (Scientific
Volume Imaging) with the Huygens classical maximum likelihood estimation
(CMLE) deconvolution algorithm and theoretical Point Spread Functions. The
deconvolution was performed by using Deconvolution Wizard. Methods Deconvolution
parameters were set to match the refractive index (RI) of the mounting media (RI
of ProLong Gold polymerized until complete dry was 1.47) and the RI of the
objective oil (1.518). Detailed deconvolution parameters were as follows,
background, automatic estimation; estimate mode, lowest; area radius, 0.7;
deconvolution algorithm, CMLE; maximum iteration, 40; signal-to-noise ratio,
7–10; quality threshold, 0.001; iteration mode, optimized; PSFs per brick, one PSF;
brick layout, auto. p
p g
p
Mutant mice were genotyped to ensure the deletion of target CB1 segment. To
mitigate off-targets effects, mutant mice were crossed into C57Bl/6 for five
generations before being used for experimental purposes. Primary culture of rat neurons. Sprague−Dawley rats of either sex at P0 were
used for culturing rat hippocampal or cortex neurons. Brain tissues were isolated
and digested with papain (1 mg/mL; Sigma, P3125) at 37 °C for 30 min. The
digested tissues were washed with Dulbeccoʼs Modified Eagle Medium (DMEM)
solution (Hyclone, SH30243.FS) three times and then transferred to culture
medium containing Neurobasal medium (Thermo Fisher Scientific, 21103049)
supplemented with 2% (vol/vol) B27 supplement (Thermo Fisher Scientific,
17504044) and 1% (vol/vol) Glutamax (Thermo Fisher Scientific, 35050-061). The
tissues were gently triturated until no chunks of tissue were left. Dissociated cells
were then counted and plated onto poly-D-lysine-coated 12-mm coverslips (12-
545-80, Fisher Brand) or 29 mm Glass (#1.5 cover glass) bottom dishes (D29-20-
1.5-N, Cellvis). Neuronal cultures were maintained in the culture medium in a
humidified atmosphere with 5% CO2 at 37 °C. One-half of the medium was
changed every 3 days to maintain neuron viability. y
To measure the spatial resolution of the STED imaging microscope, 20 nm
fluorescent microspheres (F8887, Thermo Fisher Scientific) were used to measure
the performance of microscope. Beads were diluted 100-fold with ddH2O and then
sonicated in order to disperse bead aggregates. 1 μL beads were fully spread on a
0.17-um-thick and PLL-coated coverslip. After about ten minutes with those beads
dried, coverslips were mounted on the slide with a thin layer of mounting media
(ProLong Gold). The slide was kept at room temperature until the ProLong Gold
was fully dried. The microspheres were excited by a 561 nm laser and depleted by a
660 nm laser. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 For the fluorescence immunostainings procedure, brain sections were rinsed in
PBS, permeabilized, and then blocked with blocking solution (3% w/v donkey
serum and 0.3% v/v Triton X-100 in PBS) for 2 h at room temperature and then
overnight at 4 °C with the primary antibody in 0.1% Triton X-100 and 1% serum in
PBS. After washing with PBS, sections were incubated with the secondary antibody
in 0.1% Triton X-100 and 1% serum in PBS for 2 h at room temperature. After
incubation, sections were washed with PBS. Sections were mounted with ProLong
Gold mounting medium for following imaging. STED imaging. Confocal and STED images were obtained at a Leica TCS SP8‐3X
gated STED system (Leica Microsystems) equipped with a pulsed white light laser
(WLL, tunable from 470 to 670 nm) for excitation, a 592 nm CW laser (MPB
Communications), a 660 nm CW laser (MPB Communications), and a 775 nm
pulsed laser (Onefive) for depletion. The system includes a ×100 objective lens
(Leica, HC PL APO CS2 ×100/1.40 oil), two HyD detectors, and the TCS SP8 time-
gated system. Each time before imaging, the depletion laser was co-aligned with the
excitation laser. By STED effect, the lateral fluorescence was filtered out, leaving the
remaining fluorescence in the center to be detected. ARTICLE ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 However, in the presence of antagonist,
CB1 still remained periodic in some regions of axons in primary
culture neurons and its overall periodic pattern was not different. This suggests that the periodic organization of CB1 in native state
might not be caused by constitutive released ligand in culture
neurons, though we could not exclude this possibility in the
brain tissue. Our results using the same antibody used in Zhou’s experi-
ments showed both periodic and nonperiodic hotspots in both
culture neurons and native brain tissue. We observed the peri-
odicity of CB1 clusters in live neurons to avoid artifacts caused by
fixation procedures. Further, we found that active CB1 may
behave differently than native ones, as CB1 displayed less
dynamic and more confined movements upon WIN application. Our molecular biology and imaging results suggest that the ICL3
may participate in the association between CB1 and MPS com-
ponents, such as ankB and spectrin. In the presence of WIN, CB1 NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications 8 Methods Animals. C57BL/6 mice, Sprague−Dawley rat, CB1 knockout mice (Biocytogen)
and Kunming (KM) mice (for knockout mice generation) were used in this study. Male C57BL/6 mice and CB1 knockout mice at 8–12 weeks were used. Animals
were housed under a 12 h light/dark cycle at a room temperature of 22 ± 1 °C with
45% humidity, given ad libitum access to food and water. All experimental pro-
cedures were approved by the Institutional Animal Care and Use Committee of
ShanghaiTech University, China. For single or dual color 2D imaging on the primary neuron culture, samples
were excited by the WLL at 488 nm (Alexa Fluor 488-labeled βII-spectrin or ankB)
and 561 nm (Alexa Fluor 555-labeled CB1) and depleted by 592 and 660 nm laser,
respectively. The emission spectrums were set at 493–550 nm and 566–600 nm
accordingly. Channels were recorded sequentially. Acquisition parameters were
optimized as follows: logical size, 1024 ×1024 pixels; pixel size, 23 nm; scan speed,
400 Hz; scan direction, unidirectional; line average 4, no frame average; optical
zoom factor 5, pinhole 1 airy disc; detector gain, 100%; HyD time gating, 0.3–6 ns
for confocal and 1–6 ns for STED; excitation power 10–30 pW; STED power,
11–17 mW for 592 nm and 5–8 mW for 660 nm. Generation of Cnr1 knockout mouse. For Cnr1 gene targeting, two sgRNAs were
designed to target either the upstream or downstream region of its coding sequence
by the CRISPR design tool (http://crispr.mit.edu) and screened for on-target
activity using UCATM (Universal CRISPR Activity Assay, Biocytogen). PCR
amplification was performed to add the T7 promoter sequence to the Cas9 mRNA
and sgRNAs DNA template and then the T7-Cas/sgRNA PCR products were gel
purified. They were used as the template for in vitro transcription with the
MEGAshortscript T7 kit (Cat. No. AM1354, Life Technologies). The Cas9 mRNA
and sgRNAs products were purified with MEGAclear kit (Cat. No. AM1908, Life
Technologies) and eluted with RNase-free water. For single-color imaging on fixed brain slices, CB1 was labeled with Alexa Fluor
647, excited by the WLL at 633 nm and depleted by 775 nm laser. The emission
spectrum was set at 657–700 nm. In order to reduce the adverse effect of aberration
and scatter caused by the thickness of tissue, only those processes in close
proximity (<1 μm in z axis) and parallel to cover glasses were chosen to acquire 2D
images. NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications ARTICLE Immuno-complex was incubated with Protein
A-Magnetic beads overnight on a rotating wheel at 4 °C from the precleared
supernatant with anti-CB1 antibody covalently coupled to Protein G-Magnetic
beads. The pellet was then washed 5 times in wash buffer containing (in mM), 20
Tris-HCl, 100 NaCl, 1 Ethylenediaminetetraacetic acid (EDTA), 0.5% Nonidet P-
40 (pH = 8.0). The beads were to wash away any proteins nonspecifically bound to
the beads. The immunoprecipitates were mixed with the loading buffer and
resolved by SDS-PAGE. Western blots were performed with relevant antibodies. Rabbit IgG was used as a negative control. In situ PLAs. The protocol for PLA can be found on Duolink in situ PLA detection
Kit (Sigma) following the instructions of the supplier with slight modifications31. Neurons at DIV 14–18 were fixed and incubated with primary antibodies overnight
as described in the section of immunofluorescence staining. On the next day
neurons were washed 3× with Phosphate-Buffered Saline, 0.1% Tween® 20
Detergent (PBST). All remaining steps were carried out in a 37 °C humidified
chamber. To detect CB1−cytoskeleton protein interaction, a mixture of equal
amounts of anti-CB1 antibody directly linked to a plus PLA probe and cytoskeleton
protein antibody (like ankyrin B or βII-spectrin) directly linked to a minus PLA
probe was used. Neurons were incubated with a pair of PLA probes diluted 1:10/
each in 1× blocking solution for 1 h, before washing 3× at 10 min each with 1×
Washing Buffer-A. Ligase was diluted 1:40 into 1× Ligation buffer and added to
neurons for 0.5 h ligation, followed by 3 × 5 min washes with 1× Washing Buffer-A. Polymerase was then applied 1:80 to neurons in 1× amplification stock for 2.5 h. Neurons were washed 2 × 10 min with 1× Washing Buffer-B, 1 × 10 min with 0.01×
Washing Buffer-B, and 1 × 10 min with PBST. Neurons were fixed again by 4%
PFA for 10 min to better retain the PLA signals before incubated with axonal
primary antibody like MAP2 or Tuj1 at room temperature for 2 h. Then neurons
incubated with fluorescent secondary antibody for 1 h at room temperature before
mounting with Mounting Medium with 4′,6-Diamidino-2-Phenylindole, Dihy-
drochloride (DAPI). The samples were observed in a Nikon confocal microscope
equipped with an apochromatic ×60 oil-immersion objective (N.A. 1.4), and a 405,
a 488 and a 561 nm laser line. ARTICLE The membranes
were then incubated with HRP-conjugated secondary antibody (1:1000; Pierce) for
2 h at room temperature. Signals were visualized using enhanced chemilumines-
cence (ECL, Pierce, Rockford, IL), and captured by the ChemiDoc XRS system
(Bio-Rad Laboratories, CA). Phosphorylated ERK1/2 or phosphorylated Akt levels
were normalized for differences in loading using protein band intensities for total
ERK1/2 or AKT. g
q
The raw SIM images were reconstructed by the OMX SI reconstruction tool
available in softWoRx (GE). Channel-specific OTF files, channel-specific K0 angles,
Wiener filter constant (0.001), and bias offset (65) were used during the
reconstruction. Widefield images were generated by averaging phase steps from
SIM raw images. To detect the SIM microscope resolution, the bead samples were made similarly
to those for STED, but use Vectashield (H-1000, Vectorlabs) as mounting medium
instead of Prolong Gold. Slides were sealed with nail polish and imaged. The
imaging procedure was similar to the live SIM imaging. FWHM was determined
with the same method to STED. After SIM reconstruction, the images were processed in the FIJI software. The
rigid image drift during acquisition was corrected with “Correct 3D drift” plugin29. Images were maximum-intensity projected and the linearly contrast was adjusted
using Fiji software (National Institutes of Health). For the analysis and display,
only those examples that could be tracked and did not bleach more than 20% for
consecutive three time frames were selected. Fiji TrackMate was then used to
analyze the dynamics of CB1 hotspots in these images30. In TrackMate, the
difference of Gaussian (DoG) detector was set with an estimated spot diameter of
80 nm and an appropriate fluorescence intensity as the threshold to detect all the
individual CB1 hotspots. The Simple Linear Assignment Problem (LAP) tracker
with a linking maximum distance of 200 nm, a gap-closing maximum distance of
200 nm, and a gap-closing maximum frame gap of 2 was used for tracking cells
through the time course images. Immunoprecipitation. Following tetracycline induction, CB1-CHO cells were
washed with ice-cold PBS and suspended in immunoprecipitation (IP) buffer
containing (in mM), 50 Tris-HCl, 120 NaCl, 0.5% Nonidet P-40 and protease
cocktail (pH = 7.5). The lysate was sonicated, centrifuged at 13,000 × g for 20 min
at 4 °C, and the resulting supernatant was incubated with the rabbit anti-CB1 (CST,
93815) antibody for 20 min at 4 °C. ARTICLE The image fluorescence over time was normalized to initial fluor-
escence (average fluorescence value from the 5-s imaging period immediately before
photobleaching, defined as 100%) and immediately after bleaching (0%). Analysis of
the recovery fitting curves and the half-time recovery were carried out with the Fiji
macro (http://imagej.net/Analyze_FRAP_movies_with_a_Jython_script)32. p
g
Primary neurons were transiently transfected using lipofectamine 2000
(Invitrogen) at DIV 9–12 (2 µg plasmid DNA/20 mm dish). Briefly, neurons were
mixed with transfection complexes containing CB1-RFP plasmid DNA and
lipofectamine 2000 at a ratio of 1:2 in MEM medium (Thermo Fisher Scientific,
11090081) for 2 h, then subsequently incubated with the culture medium. One day
after transfection, neurons expressed CB1-RFP were imaged under the live 3D-SIM
mode. The cells were incubated with Neurobasal medium (without phenol red,
Thermo Fisher Scientific, 12348017) at 37 °C and supplied with 5% CO2 mixed
with 95% air during the imaging process. To obtain images with minimized
spherical aberration and optimized illumination contrast, immersion oil with
different refractive index (RI) were systematically optimized for each individual
sample until a symmetrical point spread function was achieved. Usually the oil with
RI 1.520 was chosen. To reduced phototoxicity, the illumination laser intensity and
the exposure time were carefully adjusted to a minimum value (10% of maximum
laser intensity; exposure time, 6–10 ms) and only 1 μm in depth (eight optical
sections) were acquired. The time series of 3D-SIM images were acquired six
frames with 1 or 3 min acquisition interval. An ultimate focus system was used to
maintain the sample Z position, regardless of the mechanical and thermal changes
during the acquisition. Western blot. Primary neurons were either treated or not treated with the indi-
cated ligands for the times noted, rinsed with ice-cold PBS, and lysed by the
addition of 100 μL of ice-cold RIPA lysis buffer (Beyotime) with protease inhibitor
cocktail (Roche). Cellular debris was removed by centrifugation at 13,000 × g for
15 min at 4 °C, and the amount of protein was quantified by BCA protein assay kit
(Pierce). Protein samples were separated on 10% SDS-PAGE gels (Bio-Rad) and
transferred onto PVDF (polyvinylidene fluoride) membranes (Millipore, Billerica,
MA, USA). The membranes were blocked with 5% non-fat dry milk for 2 h at RT
and incubated overnight at 4 °C with rabbit anti-phospho-ERK1/2 (1:2000, Cell
Signaling), anti-phospho-Ser473-Akt (1:2000, Cell Signaling), anti-ERK1/2 (1:2000,
Cell Signaling), and anti-AKT (1:2000, Cell Signaling) antibodies. ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 (7–10 ms per frame) and 1-s interval. No images were acquired during the bleach
period. Putative axonal regions transfected with CB1-RFP were chosen and an image
stack of 1–2 μm with 0.4-μm interval in in Z axis were acquired. Ultimate focus
system was also used to maintain the stability of the microscope. Six pre-bleach
images were taken followed by bleaching a 1-μm-diameter circle region for 0.1 ms
with a strong laser intensity. Immediately after bleach, post-bleach images were taken
until the recovery reached a complete steady state. Images were maximum projected
and processed in Fiji. Briefly, FRAP data were quantified using Fiji software. During
image processing, the background level was subtracted from each frame to quantify
the recovery of fluorescence. Average fluorescence intensity of the bleached area was
corrected for additional bleaching during regular imaging and was normalized to pre-
bleach intensity. The image fluorescence over time was normalized to initial fluor-
escence (average fluorescence value from the 5-s imaging period immediately before
photobleaching, defined as 100%) and immediately after bleaching (0%). Analysis of
the recovery fitting curves and the half-time recovery were carried out with the Fiji
macro (http://imagej.net/Analyze_FRAP_movies_with_a_Jython_script)32. space of 0.125 μm. Fifteen images were taken with three illumination angles and
five phase shifts for each Z-section. Images were taken in fast 286 MHz mode. space of 0.125 μm. Fifteen images were taken with three illumination angles and
five phase shifts for each Z-section. Images were taken in fast 286 MHz mode. (7–10 ms per frame) and 1-s interval. No images were acquired during the bleach
period. Putative axonal regions transfected with CB1-RFP were chosen and an image
stack of 1–2 μm with 0.4-μm interval in in Z axis were acquired. Ultimate focus
system was also used to maintain the stability of the microscope. Six pre-bleach
images were taken followed by bleaching a 1-μm-diameter circle region for 0.1 ms
with a strong laser intensity. Immediately after bleach, post-bleach images were taken
until the recovery reached a complete steady state. Images were maximum projected
and processed in Fiji. Briefly, FRAP data were quantified using Fiji software. During
image processing, the background level was subtracted from each frame to quantify
the recovery of fluorescence. Average fluorescence intensity of the bleached area was
corrected for additional bleaching during regular imaging and was normalized to pre-
bleach intensity. ARTICLE For each field of view, a stack of three channels (one
per staining) and 10−15 Z stacks with a step size of 1 μm were acquired. Images
were opened and processed with Fiji software. The ratio r (number of red spots/
number of cells containing spots) was determined considering a total of 300−600
cells from 6 to 10 different fields. Methods The acquiring parameters were optimized as follows: logical size,
1024 ×1024 pixels; pixel size, 11 nm; scan speed, 400 Hz; scan direction,
unidirectional; line average 4, no frame average; optical zoom factor 10; pinhole 1
airy disc; detector gain, 100%; HyD time gating, 0.3–6 ns for confocal and 1–6 ns
for STED; excitation power, 30–40 pW; STED power, 15 mW. Intensity profiles
across the center of beads were plotted in the FIJI software, and the FWHM (Full
width at half maximum) was calculated by fitting with a Gaussian function28. To measure the spatial resolution of the STED imaging microscope, 20 nm
fluorescent microspheres (F8887, Thermo Fisher Scientific) were used to measure
the performance of microscope. Beads were diluted 100-fold with ddH2O and then
sonicated in order to disperse bead aggregates. 1 μL beads were fully spread on a
0.17-um-thick and PLL-coated coverslip. After about ten minutes with those beads
dried, coverslips were mounted on the slide with a thin layer of mounting media
(ProLong Gold). The slide was kept at room temperature until the ProLong Gold
was fully dried. The microspheres were excited by a 561 nm laser and depleted by a
660 nm laser. The acquiring parameters were optimized as follows: logical size,
1024 ×1024 pixels; pixel size, 11 nm; scan speed, 400 Hz; scan direction,
d
l l
f
l
f
h l Fluorescence labeling of neurons. Cultured neurons were fixed with 4% (w/v)
paraformaldehyde (PFA) in phosphate-buffered saline (PBS) for 15 min at 14 day
in vitro (DIV 14). After a complete wash with PBS, the samples were then per-
meabilized and blocked in the blocking buffer (10% v/v donkey serum, 0.2% v/v
Triton X-100 in PBS) for 1 h at room temperature, and subsequently stained with
one or two primary antibodies in the incubation buffer (1% donkey serum, 0.1%
Triton X-100 in PBS) overnight at 4 °C. The samples were washed in PBS and then Live SIM imaging the structure of CB1 in neurons. SIM images were obtained
with the GE DeltaVision OMX microscope, equipped with a 568-nm laser
(Coherent), a ×60 objective lens (Olympus, PL Apo N ×60/1.42 oil), and the
scientific CMOS camera (Acquisition pixel size, 82 nm at ×60 objective; PCO edge). 3D-SIM mode was acquired with a fixed 512 × 512 pixel size and an optical section 9 ARTICLE Peptide
precursor ions in different brain region protein digests were monitored in the PRM
assay by scheduling an inclusion list of each precursor with an isolation window of
1.6 m/z and retention time shift of 2 min. 11. Zhou, R., Han, B., Xia, C. & Zhuang, X. Membrane-associated periodic
skeleton is a signaling platform for RTK transactivation in neurons. Science
365, 929–934 (2019). 12. Dudok, B. et al. Cell-specific STORM super-resolution imaging reveals nanoscale
organization of cannabinoid signaling. Nat. Neurosci. 18, 75–86 (2015). 13. Hell, S. W. Microscopy and its focal switch. Nat. methods 6, 24–32 (2009). 14. Zhong, G. S. et al. Developmental mechanism of the periodic membrane
skeleton in axons. Elife 3, e04581 (2014). f
15. Heintzmann, R. & Huser, T. Super-resolution structured illumination
microscopy. Chem. Rev. 117, 13890–13908 (2017). MS data processing. Mass spectra from the DDA experiment were processed
using Proteome Discoverer 2.1 against the Uniprot mouse sequence database. The
search parameter included cysteine carbamidomethylation as a fixed modification
and oxidation of methionine as variable modification. Precursor ion mass tolerance
was set to 10 ppm and fragment ion tolerance was 0.02 Da. Trypsin was set as the
specific enzyme and two missed cleavages were allowed. The required false dis-
covery rate (FDR) was set to 1% at the peptide and protein level. For PRM data analysis, the Skyline software (v3.7.0) was used for targeted
peptide quantification with settings specified by the software instruction36. Only b-
or y-product ions with m/z values greater than the precursor were selected to
quantify the peptides. All the transitions were validated using the
mProphet algorithm in Skyline advanced peak picking model that restricts the FDR
to <1%. The peptide quantification was derived from the sum of the peak areas of 3
−6 product ions for selected peptides. Protein intensity was based on the summed
MS responses of one to three unique peptides of the corresponding protein. MS data processing. Mass spectra from the DDA experiment were processed
using Proteome Discoverer 2.1 against the Uniprot mouse sequence database. The
search parameter included cysteine carbamidomethylation as a fixed modification
and oxidation of methionine as variable modification. Precursor ion mass tolerance
was set to 10 ppm and fragment ion tolerance was 0.02 Da. Trypsin was set as the
specific enzyme and two missed cleavages were allowed. The required false dis-
covery rate (FDR) was set to 1% at the peptide and protein level. 16. ARTICLE ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 amygdala-dependent synaptic and behavioral functions. J. Neurosci. 33,
10264–10277 (2013). NanoLC-MS/MS analysis. The nanoLC-MS/MS analysis was conducted on an
EASY-nLC 1000 connected to Orbitrap Fusion mass spectrometer (Thermo Fisher
Scientific, USA) with a nano-electrospray ionization source. The eluted peptides
were separated on an analytical column (200 mm × 75 μm) in-house packed with
C18-AQ 3 μm C18 resin (Dr. Maisch, GmbH, Germany) over a 130-min gradient
at flow rate of 300 nL/min. For a pooled sample from all six brain region protein
digests, a data-dependent (DDA) acquisition method was first employed with the
following parameters, resolution of 60,000 used for survey scans; the mass range pf
300−1700 m/z; an AGC target value of 4E5; and maximum ion injection time of
50 ms. Up to 12 dynamically chosen and most abundant precursor ions were
fragmented. The MS/MS scans were acquired at an Orbitrap resolution of 30,000
(AGC target value 1E5, maximum ion injection time 50 ms). 6. Hua, T. et al. Crystal structure of the human cannabinoid receptor CB1. Cell
167, 750–762.e714 (2016). 7. Hua, T. et al. Crystal structures of agonist-bound human cannabinoid receptor
CB1. Nature 547, 468–471 (2017). 8. Xu, K., Zhong, G. S. & Zhuang, X. W. Actin, spectrin, and associated proteins
form a periodic cytoskeletal structure in axons. Science 339, 452–456 (2013). 8. Xu, K., Zhong, G. S. & Zhuang, X. W. Actin, spectrin, and associated proteins
f
i di
t
k l t l t
t
i
S i
339 452 456 (2013) 9. Liu, Y. et al. Critical role of spectrin in hearing development and deafness. Sci. Adv. 5, eaav7803 (2019). 10. Reddy-Alla, S. et al. Stable positioning of Unc13 restricts synaptic vesicle
fusion to defined release sites to promote synchronous neurotransmission. Neuron 95, 1350–1364.e1312 (2017). In order to achieve the accurate quantification of selected proteins in the
membrane fractions, we developed parallel-reaction-monitoring (PRM) MS assays
for all proteins of our interest based on the protein identification results from the
DDA experiment35. The PRM acquisition method started with a full scan event
followed by targeted MS/MS for specific peptides from the proteins of interest. Major parameters for the MS/MS event in Orbitrap were a resolution of 30,000; an
AGC target value of 2E5; and maximum injection time of 100 ms. ARTICLE Sanchez-Blazquez, P., Rodriguez-Munoz, M., Vicente-Sanchez, A. & Garzon,
J. Cannabinoid receptors couple to NMDA receptors to reduce the production
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process. Each FRAP image was taken with a fixed laser intensity and exposure time NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications 10 Data availability 28. Nagerl, U. V. & Bonhoeffer, T. Imaging living synapses at the nanoscale by
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correction following 4D confocal time-lapse imaging. J. Vis. Exp. https://doi. org/10.3791/51086 (2014). Received: 21 January 2020; Accepted: 15 October 2020; Received: 21 January 2020; Accepted: 15 October 2020; Author contributions Open Access This article is licensed under a Creative Commons Attri-
bution 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/. G.Z. initiated, managed and supervised the project. G.Z. and H.L. conceived and
designed the experiments. H.L., J.Y., T.C., S.L., M.D., T.H., performed most of the
experiments and data analysis. S.Z., Q.W., F.T., Y.Q., D.D.-G., G.T., Y.Z., W.S., T.W. and
Z.-J.L. contributed to data analysis and interpretation. G.Z. wrote the manuscript with
contributions from all of the authors. NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-020-19510-5 Correspondence and requests for materials should be addressed to G.Z. Reprints and permission information is available at http://www.nature.com/reprints Reprints and permission information is available at http://www.nature.com/reprints Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations. Correspondence and requests for materials should be addressed to G.Z. Correspondence and requests for materials should be addressed to G.Z. We thank the Bioimaging Core Facilities of the iHuman Institute and the animal facility
of National Center for Protein Science for their support. We thank Dr. Yulong Li from
Peking University for providing the GPCR probes. This work was supported by the
National Key Research and Development Program of China (2016YFC0905900 (G.Z.),
2017YFC 1001300 (G.Z.)), the National Natural Science Foundation of China (81970878
(G.Z.), 31871036 (T.W.), 31771130 (G.Z.), 81861128023 (G.Z.)), the 2015 Thousand
Youth Talents Plan of China (G.Z.) and the Australian Research Council (Grant
DE170100546 (T.W.)). Peer review information Nature Communications thanks the anonymous reviewers for
their contributions to the peer review of this work. References 1. Herkenham, M. et al. Cannabinoid receptor localization in brain. Proc. Natl
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circuits in the hippocampus. Neuron 51, 455–466 (2006). circuits in the hippocampus. Neuron 51, 455–466 (2006). 5. Ruehle, S. et al. Cannabinoid CB1 receptor in dorsal telencephalic
glutamatergic neurons, distinctive sufficiency for hippocampus-dependent and 36. MacLean, B. et al. Skyline, an open source document editor for creating and
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glutamatergic neurons, distinctive sufficiency for hippocampus-dependent and NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications 11 Competing interests p
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The authors declare no competing interests. Additional information Supplementary information is available for this paper at https://doi.org/10.1038/s41467-
020-19510-5. pp
020-19510-5. NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunications 12 NATURE COMMUNICATIONS | (2020) 11:5699 | https://doi.org/10.1038/s41467-020-19510-5 | www.nature.com/naturecommunicatio
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Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Without Surgical Reinnervation: A Preliminary Study
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Frontiers in bioengineering and biotechnology
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Phantom-mobility-based prosthesis control in
transhumeral amputees without surgical reinnervation:
a preliminary study. Nathanaël Jarrassé, Étienne de Montalivet, Florian Richer, Caroline Nicol,
Amelie Touillet, Noel Martinet, Jean Paysant, Jozina B de Graaf To cite this version: Nathanaël Jarrassé, Étienne de Montalivet, Florian Richer, Caroline Nicol, Amelie Touillet,
et al.. Phantom-mobility-based prosthesis control in transhumeral amputees without surgical
reinnervation:
a preliminary study.. Frontiers in Bioengineering and Biotechnology, 2018, 6,
10.3389/fbioe.2018.00164. hal-02002425 Phantom-mobility-based prosthesis control in
transhumeral amputees without surgical reinnervation:
a preliminary study. Distributed under a Creative Commons Attribution 4.0 International License Keywords: prosthetics, transhumeral amputation, phantom limb, myoelectric control, pattern recognition,
voluntary phantom limb mobility Phantom-Mobility-Based Prosthesis
Control in Transhumeral Amputees
Without Surgical Reinnervation:
A Preliminary Study Nathanaël Jarrassé 1*, Etienne de Montalivet 1, Florian Richer 1, Caroline Nicol 2,
Amélie Touillet 3, Noël Martinet 3, Jean Paysant 3 and Jozina B. de Graaf 2 1 CNRS, INSERM, Institut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, Paris, France, 2 CNRS, ISM,
Aix Marseille Université, Marseille, France, 3 Centre Louis Pierquin, Institut Régional de Médecine Physique et de
Réadaptation, UGECAM Nord-Est, Nancy, France Transhumeral amputees face substantial difficulties in efficiently controlling their
prosthetic limb, leading to a high rate of rejection of these devices. Actual myoelectric
control approaches make their use slow, sequential and unnatural, especially for
these patients with a high level of amputation who need a prosthesis with
numerous active degrees of freedom (powered elbow, wrist, and hand). While surgical
muscle-reinnervation is becoming a generic solution for amputees to increase their
control capabilities over a prosthesis, research is still being conducted on the possibility
of using the surface myoelectric patterns specifically associated to voluntary Phantom
Limb Mobilization (PLM), appearing naturally in most upper-limb amputees without
requiring specific surgery. The objective of this study was to evaluate the possibility
for transhumeral amputees to use a PLM-based control approach to perform more
realistic functional grasping tasks. Two transhumeral amputated participants were asked
to repetitively grasp one out of three different objects with an unworn eight-active-DoF
prosthetic arm and release it in a dedicated drawer. The prosthesis control was based
on phantom limb mobilization and myoelectric pattern recognition techniques, using
only two repetitions of each PLM to train the classification architecture. The results
show that the task could be successfully achieved with rather optimal strategies
and joint trajectories, even if the completion time was increased in comparison with
the performances obtained by a control group using a simple GUI control, and the
control strategies required numerous corrections. While numerous limitations related
to robustness of pattern recognition techniques and to the perturbations generated
by actual wearing of the prosthesis remain to be solved, these preliminary results
encourage further exploration and deeper understanding of the phenomenon of natural
residual myoelectric activity related to PLM, since it could possibly be a viable option
in some transhumeral amputees to extend their control abilities of functional upper limb
prosthetics with multiple active joints without undergoing muscular reinnervation surgery. Edited by:
Raviraj Nataraj,
Stevens Institute of Technology,
United States Reviewed by:
Luca Citi,
University of Essex, United Kingdom
Emanuele Lindo Secco,
Liverpool Hope University,
United Kingdom *Correspondence:
Nathanaël Jarrassé
jarrasse@isir.upmc.fr Specialty section:
This article was submitted to
Bionics and Biomimetics,
a section of the journal
Frontiers in Bioengineering and
Biotechnology Received: 01 July 2018
Accepted: 19 October 2018
Published: 29 November 2018 HAL Id: hal-02002425
https://amu.hal.science/hal-02002425v1
Submitted on 31 Jan 2019 L’archive ouverte pluridisciplinaire HAL, est
destinée au dépôt et à la diffusion de documents
scientifiques de niveau recherche, publiés ou non,
émanant des établissements d’enseignement et de
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publics ou privés. HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished or not. The documents may come from
teaching and research institutions in France or
abroad, or from public or private research centers. Distributed under a Creative Commons Attribution 4.0 International License ORIGINAL RESEARCH
published: 29 November 2018
doi: 10.3389/fbioe.2018.00164 1. INTRODUCTION While there have been improvements of prosthetic solutions over
the last years, the situation remains particularly complex for
the common case of transhumeral (i.e., above elbow) amputees. The control is difficult to learn, remains non-intuitive, and
thus cognitively demanding. Moreover, these prostheses lack
functionality and so do not provide the expected assistance in
Activities of Daily Life (ADLs) (Biddiss and Chau, 2007). This
leads to the development of compensatory strategies involving
the rest of the body, causing shoulder, trunk, and contra-lateral
limb disorders (Ostlie et al., 2011). The consequence is that
transhumeral amputees are more likely to reject their prosthesis
than transradial amputees (Wright et al., 1995; Biddiss and Chau,
2007). One of the current major issues, common to all levels of
upper-limb amputation, is the growing gap between the available
hardware of arm prostheses, becoming more biomimetic with
numerous active joints (e.g., polydigital hands), and their still
counter-intuitive and sequential control that limit their actual use
(Atkins et al., 1996). For instance, the myoelectric control, which
is the most common method to command an externally-powered
upper limb prosthesis, relies on the use of ElectroMyoGraphic
signals (EMG) from two antagonistic muscles of the residual
limb (generally the biceps and triceps). An on/offstrategy
is applied by thresholding the input signals [amplitude and
temporal variations of surface ElectroMyoGrams (sEMG)] that
the patient needs to produce with the equipped muscles. Often,
each active prosthetic joint that composes the substituting limb is
sequentially controlled by the same control inputs. So, despite the
potential possibilities offered by the new biomimetic prostheses
like whole robotic arms (Resnik et al., 2014) or polydigital hands
(Belter and Dollar, 2011), their control remains complex, as it is
far from intuitive, and offers few functional Degrees of Freedom
(DoF) (Castellini et al., 2014). Most studies on the development of more natural prosthetic
control approaches based on PLM decoding (Powell et al., 2014;
Atzori et al., 2016; Jarrasse et al., 2017b; Gaudet et al., 2018)
have so far been conducted on offline pattern recognition of
pre-recorded myoelectric sequences, or either using simple
computer interface control of performing simple free motions
using a real prosthesis. To our knowledge, no experiments
involved the completion of a functional task during which the
prosthesis had to be controlled using real time decoding of PLM
while the participant controlled the interaction with objects. 1. INTRODUCTION PLM have recently been shown to be controlled as intact
limb movements (Raffin et al., 2012a,b; Garbarini et al., 2018),
with associated muscle activities that vary with the type of
executed PLM (Reilly et al., 2006; Raffin et al., 2012a; Jarrasse
et al., 2017b). This approach has been quite extensively studied
for below-elbow amputees whose residual limb usually still
contains the muscles that mobilized the fingers before the
amputation, and, therefore, provide an adapted measurement
site together with relatively strong myoelectric signals. While
first attempts of adaptation of these approaches to above-
elbow amputees date back to the 70s with pioneering work like
(Wirta et al., 1978), several studies recently tried to revive such
approach using updated classification techniques, specifically
of phantom-limb-mobility-related EMG signals (Jarrasse et al.,
2017b; Gaudet et al., 2018), even extended to individual
finger movement decoding (Jarrasse et al., 2017a). Also, recent
work on the treatment of phantom limb pain with help of
virtual reality (e.g., Ortiz-Catalan et al., 2016) illustrates the
possibility of decoding these PLM-associated EMG patterns
measured on the residual limb of transhumeral amputees. Yet, after transhumeral amputation, PLM-related myoelectric
activity is measured over muscle groups of the residual
limb which -before amputation- were not naturally related
to the missing limb (i.e., hand and wrist), and, therefore,
inevitably more complex to decode. So, daily life phantom-
based prosthetic control is more challenging, especially without
reinforcing PLM-associated sEMG signals through muscular
reinnervation surgery (Kuiken et al., 2007). One might, for
example, expect an influence of the fatigue associated to PLM
generation and of the remaining mismatch between the actual
PLM movements and the ones generated in reaction by the
prosthesis (the velocity and range of motion of these PLM being
generally limited) (De Graaf et al., 2016), on the number of
possible PLM that the patients can execute the one after the
other. People with an upper arm amputation represent a significant
part of the major upper-limb amputees in western countries
(for instance 33% in France André and Paysant, 2006 and 45%
in the United Kingdom National Amputee Statistical Database,
2009). These patients, most of them young active people, are
usually fitted with a functional prosthesis (financed by the Social
Security) composed of several active joints (hand, wrist and
sometimes elbow), allowing them to regain a certain autonomy. Citation: Jarrassé N, de Montalivet E, Richer F,
Nicol C, Touillet A, Martinet N,
Paysant J and de Graaf JB (2018)
Phantom-Mobility-Based Prosthesis
Control in Transhumeral Amputees
Without Surgical Reinnervation:
A Preliminary Study. Front. Bioeng. Biotechnol. 6:164. doi: 10.3389/fbioe.2018.00164 November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 1 Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Jarrassé et al. Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 1. INTRODUCTION (Right) Photo o FIGURE 1 | (Left) Global view of the experimental setup during one of the functional tasks of grasping an object (here the foam tennis ball) and releasing it in the
dedicated container, with the arm prosthesis controlled through the associated mobilization of the phantom limb. (Right) Photo of the setup being used with P2. 2. MATERIALS AND METHODS availability of the participants during the recording period. The
first participant (P1), because of an injured plexus brachial
leading to limited muscle contraction amplitudes, has never
been fitted with a myoelectric prosthesis. On the contrary, the
second participant (P2) is daily using a myoelectric prosthesis
composed of a motorized Utah© elbow, an active wrist rotator
and a polydigital hand (iLimb Ultra, Touch Bionics ©), controlled
by two electrodes placed over his biceps and triceps muscle
(the control-switching between joints being achieved through a
co-contraction of both muscles). Table 1 resumes demographic
data. The prosthesis (Figure 1) was composed of an active elbow, a
wrist rotator and polydigital hand, attached to a fixed support
placed close to the residual limb. A direct control mapping
was used to associate a phantom movement of one joint
to a movement of the same prosthetic joint. Eight different
movements of the elbow, wrist (rotation), hand and pinch were
used within this experiment. We first evaluated the pattern
recognition architecture performance in amputees, and then
analyzed the grasping task performance through different metrics
(timing, optimality of sequences, kinematics) in comparison
with performance obtained by three non-amputated (control)
participants performing the same task with a simple computer
interface. The amputated participants were followed-up at the Louis
Pierquin Centre of the Regional Institute of Rehabilitation,
Nancy, France. Their voluntary mobilization of phantom limb
had been explored through a questionnaire and a preliminary
evaluation in order to make clear distinctions between residual
limb sensations, phantom pain, phantom sensations, and most
importantly, between mobility of the residual limb and that of the
phantom limb (Touillet et al., 2018). Both participants reported
a good feeling and control of their phantom hand, including
separate whole hand and pinch (thumb and index) opening and
closing, wrist rotation and flexion/extension of the phantom
elbow. 1. INTRODUCTION The
objective of this study is thus to evaluate the possibility for
transhumeral amputees to use a PLM-based control approach to
actually perform a set of more realistic functional tasks with an
unworn prosthetic arm with numerous active DoF (elbow, wrist
rotator, polydigital hand with two different types of grasping). Such a task will challenge the precision of control and the fatigue
associated to PLM execution (De Graaf et al., 2016), and will offer
a first evaluation of the “interaction” between “phantom activity”
and the prosthetics with tasks in the “real world”. We present in
this paper the results of an experiment during which two patients
had to voluntarily mobilize their phantom limb to have an arm
prosthesis mimicking the phantom movement. To
overcome
these
limitations,
pattern-recognition
approaches have been developed since the late 60s/70s (Finley
and Wirta, 1967; Herberts et al., 1973; Lawrence et al., 1973)
aiming a more precise decoding of myoelectric signals in order to
improve the recognition of different muscle activation patterns
and thus to control more types of movements. This requires
the use of multiple recording sites, a precise extraction of signal
characteristics (not only amplitude) and a multidimensional
classification architecture. While well established and extensively
studied in research institutions, such approaches have only very
recently been applied commercially to prosthetics control (e.g.,
COAPT system, http://www.coaptengineering.com/). One way of feeding pattern recognition myoelectric control is
to rely on sEMG activities of the residual limb associated with
phantom limb movement (PLM) execution. Indeed, voluntary November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 2 Jarrassé et al. Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees FIGURE 1 | (Left) Global view of the experimental setup during one of the functional tasks of grasping an object (here the foam tennis ball) and releasing it in the
dedicated container, with the arm prosthesis controlled through the associated mobilization of the phantom limb. (Right) Photo of the setup being used with P2. FIGURE 1 | (Left) Global view of the experimental setup during one of the functional tasks of grasping an object (here the foam t
dedicated container, with the arm prosthesis controlled through the associated mobilization of the phantom limb. Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 2.1. Participants Since this is a preliminary study, a limited number of
participants were tested. Two participants (in the 35–55 age
range) with a unilateral transhumeral amputation of traumatic
origin were selected to participate to the study. Three healthy
participants (in the 25–27 age range) were recruited as a
control group to perform the grasp and release task through a
simplified computer GUI control. This study was carried out in
accordance with the recommendations of the Université Paris
Descartes ethic committee CERES (N◦IRB 20151900001072),
which had approved the protocol. All participants provided
written informed consent to participate in the study, and both
patients gave written permission for publication of photographs
for scientific and educational purposes. The protocol was
performed in accordance with the Declaration of Helsinki. 2.2. Experimental Setup
2.2.1. Upper Limb Prosthetic Platform 2.2. Experimental Setup
2.2.1. Upper Limb Prosthetic Platform 2.2.1. Upper Limb Prosthetic Platform FIGURE 2 | The arm prosthesis prototype includes a motorized elbow (1), an
embedded controller based on a Raspberry Pi 3 (2), an electronic wrist rotator
(3), and a Touch Bionics Robolimb (4). FIGURE 2 | The arm prosthesis prototype includes a motorized elbow (1), an
embedded controller based on a Raspberry Pi 3 (2), an electronic wrist rotator
(3), and a Touch Bionics Robolimb (4). FIGURE 3 | View of the residual limbs with the connected six optimal (P1,
left), respectively initial twelve (P2, right) pair of electrodes. FIGURE 2 | The arm prosthesis prototype includes a motorized elbow (1), an
embedded controller based on a Raspberry Pi 3 (2), an electronic wrist rotator
(3), and a Touch Bionics Robolimb (4). FIGURE 2 | The arm prosthesis prototype includes a motorized elbow (1), an
embedded controller based on a Raspberry Pi 3 (2), an electronic wrist rotator
(3), and a Touch Bionics Robolimb (4). FIGURE 3 | View of the residual limbs with the connected six optimal (P1,
left), respectively initial twelve (P2, right) pair of electrodes. Raspberry Pi 3 which drives the elbow and wrist joints through
a dedicated position/velocity motor controller (Roboclaw Motor
Controller from Ion Motion Control©), and the polydigital hand
through a generic serial connection. A dedicated C++ program
was developed (running at a frequency of 100 Hz on the Jessie
OS© from Debian Linux©) to receive movement instructions
(received from a wifisocket connection), to control the active
joints accordingly (with respect to a set of predefined parameters
like joint velocities), to monitor the kinematic activity and to
store recorded data in files. Raspberry Pi 3 which drives the elbow and wrist joints through
a dedicated position/velocity motor controller (Roboclaw Motor
Controller from Ion Motion Control©), and the polydigital hand
through a generic serial connection. A dedicated C++ program
was developed (running at a frequency of 100 Hz on the Jessie
OS© from Debian Linux©) to receive movement instructions
(received from a wifisocket connection), to control the active
joints accordingly (with respect to a set of predefined parameters
like joint velocities), to monitor the kinematic activity and to
store recorded data in files. shielded channels at 24-bit resolution was used to record sEMG
muscle activities from the participant’s residual limb at a 1 kHz
frequency. 2.2.1. Upper Limb Prosthetic Platform Because of the variability in residual limb length and
muscle anatomy due to the level of amputation, the scheme of
electrodes placement had to be adapted for each participant (see
Figure 3). Twelve pairs of sEMG electrodes (Ambu© BlueSensor
Ag/AgCl snap bipolar electrodes with a 1.25-cm-diameter
circular contact and a 2 cm inter-electrode distance (center
point to center point) were initially placed on each participant to
measure activity on various parts of the residual biceps, triceps,
deltoid and sometimes trapezoidal and pectoralis major muscles. No specific skin preparation was used before placing the active
electrodes on the residual limb. To monitor the kinematic activity of the upper-limb
prosthetic, a motion capture dataglove (VMG 30 from Virtual
Realities LLC© relying on piezoelectric technology) was placed
over the prosthetic hand. Thanks to a dedicated calibration
phase (performed once for each patient), the prosthetic fingers
activity were recorded at 25 Hz. This glove was also fitted with
two Inertial Measurement Units (IMU, 9 degrees-of-freedom)
allowing us to track both the elbow flexion and wrist rotation
kinematics at a similar frequency. The recorded sEMG signals were then filtered with a
[10 Hz ; 400 Hz] third-order bandpass Butterworth filter and a
notch filter to remove the power line 50 Hz noise (Q factor of 35). A filter approach exploiting the properties of the Principal
Component Analysis (derived from Kvas and Velik, 2008) was
then applied to the first sEMG recordings for the training of the
pattern recognition algorithm. This analysis resulted in the initial
selection of an optimal set of 6 pairs of electrodes (maximizing
the classification results) among the 12 channels initially placed. Once this optimization was performed, the set was used for the
whole experimental session. Based on previous individual recordings of intact arm
kinematics when mimicking their PLM (De Graaf et al., 2016),
the joint velocities of the prosthesis were pre-set as follows: 15°/s
for the elbow flexion/extension velocity (slow compared to the
natural adopted 105°/s measured in healthy subjects Farthing
and Chilibeck, 2003), 40°/s for the wrist rotation and 2.6 s for
complete opening or closing the whole hand. 2.2.1. Upper Limb Prosthetic Platform 2.2.1. Upper Limb Prosthetic Platform The upper limb prosthetic used for this experiment (see Figure 2)
was designed using modified commercially available prosthetic
parts: a Fillauer© Hosmer E-TWO electric elbow, a conventional
electric wrist rotator from Ottobock© (model 10S17), and a
Robolimb polydigital hand from Touch Bionics© possessing 6
active joints (one per finger flexion plus the thumb rotation). This prototype was attached directly to a dedicated support
frame made of aluminum profiles, which was adjusted to place
the prosthetic elbow close to the phantom elbow joint position. The overall prosthetic system was controlled by an embedded The selection of the two amputated participants was based
on the level of amputation (only transhumeral amputees), their
control ability of a mobile phantom limb (i.e., the possibility
to perform several different types of phantom movements),
the absence of phantom and residual limb pain, and the November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 3 Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Jarrassé et al. TABLE 1 | Demographic data concerning the 2 amputated participants. Participant
Elaps. time
Amput. side
Dom. ? Amput. type
Amput. cause
Pain treat. Prosthesis
P1
34 years
Left
No
1/3 arm Left
traumatic
No
None or aesthetic
P2
4 years
Left
No
2/3 arm Left
traumatic
No
Myoelectric
M, male; Dom. ?, Dominant limb prior to amputation; Elap. time, Elapsed time since amputation. “Pain Treat.”, pain treatment. “Prosthesis” indicates the type of prosthesis the patients
usually wears. FIGURE 2 | The arm prosthesis prototype includes a motorized elbow (1), an
embedded controller based on a Raspberry Pi 3 (2), an electronic wrist rotator
(3), and a Touch Bionics Robolimb (4). Raspberry Pi 3 which drives the elbow and wrist joints through
FIGURE 3 | View of the residual limbs with the connected six optimal (P1,
left), respectively initial twelve (P2, right) pair of electrodes. TABLE 1 | Demographic data concerning the 2 amputated participants. Participant
Elaps. time
Amput. side
Dom. ? Amput. type
Amput. cause
Pain treat. Prosthesis
P1
34 years
Left
No
1/3 arm Left
traumatic
No
None or aesthetic
P2
4 years
Left
No
2/3 arm Left
traumatic
No
Myoelectric
M, male; Dom. ?, Dominant limb prior to amputation; Elap. time, Elapsed time since amputation. “Pain Treat.”, pain treatment. “Prosthesis” indicates the type of prosthesis the patients
usually wears. TABLE 1 | Demographic data concerning the 2 amputated participants. 2.3.1. Amputees’ Protocol The participant was comfortably seated in a dedicated chair, fitted
with an armrest on the non-amputated side and a head rest. The arm prosthesis, attached to its rigid support, was placed
approximatively at the location of the phantom arm of the subject
(see Figure 1). Once the electrodes were placed on the subject’s
residual limb, the session started with a training phase, was then
followed by a phase of preliminary assessment of the classification
and PLM-based prosthesis control, and ended with the object
grasping task. During all three phases, the sEMG signals were
recorded and the whole recording session was videotaped and
lasted for about 120 min for each participant. The three protocol
phases will now be detailed. 2.2.3. Classification Architecture A
dedicated
electrophysiological
signal-recording
system
(Eegosports from ANT-Neuro©, The Netherland) with bipolar As shown on Figure 4, the classification of given phantom
limb movements cannot only rely on amplitude analyses of November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 4 Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Jarrassé et al. FIGURE 4 | P1 typical sEMG patterns associated to the voluntary mobilization of the phantom limb recorded by the six selected electrodes when performing
successively 8 different phantom limb movements. FIGURE 4 | P1 typical sEMG patterns associated to the voluntary mobilization of the phantom limb recorded by the six selected electrodes when performing
successively 8 different phantom limb movements. sEMG bursts, a method often used for the study of voluntary
limb movements with well defined sEMG electrode placement
according to SENIAM recommendations (Hermens et al., 2000). Additional features of sEMG signal characterizing its frequency
and complexity aspects are needed for optimal classification. We
used the BCI2000 software suite to develop a global control
architecture on a desktop computer running Windows 7 (Intel
Core i5-4690K (3.5 GHz) with 16 Go DDR3). BCI2000 is
a general-purpose software suite designed for brain-computer
interface (BCI) and was used here to run in parallel three
principal modules: one acquisition driver to acquire the sEMG
data (at a 1 kHz frequency), one Matlab classification algorithm
script (executed every 128 ms), and one graphical user interface
(C++ with Qt) which was also broadcasting in real time
the classification output to the network, in order to transmit
the kinematic instructions to the prosthesis. A generic Linear
Discriminant Analysis (LDA) classifier (Englehart et al., 1999)
running on Matlab© (relying on the “fit discriminant analysis
classifier” function of the Statistics Toolbox) was used to classify
the myoelectric activities. The features were computed from the
sEMG using a 512-ms-sliding analysis window with a 128-ms-
overlap between successive windows. Among the wide variety of
features that have been investigated in the literature (Phinyomark
et al., 2013), we selected those known to be the most efficient
and robust for the classification of sEMG with LDA: the root
mean square (RMS) value (Oskoei and Hu, 2008), the first 4
autoregressive coefficients (AR) (Zardoshti-Kermani et al., 1995;
Tkach et al., 2010), the zero crossing and the sample entropy
(Richman and Moorman, 2000) of the sEMG were extracted
from each channel and used to create the feature vector. 2.2.3. Classification Architecture No
dimensionality reduction nor post-processing methods was used. sEMG bursts, a method often used for the study of voluntary
limb movements with well defined sEMG electrode placement
according to SENIAM recommendations (Hermens et al., 2000). Additional features of sEMG signal characterizing its frequency
and complexity aspects are needed for optimal classification. We
used the BCI2000 software suite to develop a global control
architecture on a desktop computer running Windows 7 (Intel
Core i5-4690K (3.5 GHz) with 16 Go DDR3). BCI2000 is
a general-purpose software suite designed for brain-computer
interface (BCI) and was used here to run in parallel three
principal modules: one acquisition driver to acquire the sEMG
data (at a 1 kHz frequency), one Matlab classification algorithm
script (executed every 128 ms), and one graphical user interface
(C++ with Qt) which was also broadcasting in real time
the classification output to the network, in order to transmit
the kinematic instructions to the prosthesis. A generic Linear
Discriminant Analysis (LDA) classifier (Englehart et al., 1999)
running on Matlab© (relying on the “fit discriminant analysis
classifier” function of the Statistics Toolbox) was used to classify
the myoelectric activities. The features were computed from the
sEMG using a 512-ms-sliding analysis window with a 128-ms-
overlap between successive windows. Among the wide variety of
features that have been investigated in the literature (Phinyomark
et al., 2013), we selected those known to be the most efficient
and robust for the classification of sEMG with LDA: the root
mean square (RMS) value (Oskoei and Hu, 2008), the first 4
autoregressive coefficients (AR) (Zardoshti-Kermani et al., 1995;
Tkach et al., 2010), the zero crossing and the sample entropy
(Richman and Moorman, 2000) of the sEMG were extracted
from each channel and used to create the feature vector. No
dimensionality reduction nor post-processing methods was used. Only the confidence value of the classifier was used to filter the
algorithm output: if classification confidence was below 95%, no
movement instruction was sent to the prosthesis. 2.3.2. GUI Control by Healthy Participants 2.3.2. GUI Control by Healthy Participants
In order to appreciate the performance obtained by the patients
with such a control and setup, which remains very different
from a natural limb control (especially because it does not
allow simultaneous movements), the three healhty participants
were asked to perform the exact same experiment but with
the prosthesis being controlled through the use of a graphical
interface on a computer screen and a mouse (each of the eight
movements of the prosthesis being activated by a specific button
on the graphical interface). So, no classification of EMG was
necessary to control the prothesis. FIGURE 5 | The objects used for the grasping task. From the left to the right,
a cylinder made from Balsa wood from the kit of objects from the SHAP (Light
et al., 2002) (diameter 60 mm, weight 30 g), a compliant foam tennis ball
(diameter 70 mm, weight 12 g), and a clothespin from the Rolyan Graded
Pinch Exerciser kit (model Yellow, 1 lb Pinch Exerciser, weight 20 g). brief initial individual training of the classifier was then used for
the whole experiments. 2.3.1.3. Grasping task 2.3.1.3. Grasping task
After 10–15 min of passive recovery, the protocol ended by a
grasping task performance with the arm prosthesis that included
a randomized set of 3 grasping repetitions of 3 different objects
(shown in Figure 5 through the same control mode. Task duration was defined as the time elapsed since the first
activation detection by the control architecture (different from
the “resting state”) until the object impact after falling into the
receiving container. The chosen object was placed such that it could be caught by
the prosthetic hand (i.e., position within the circle centered on the
elbow prosthesis and which radius was equal to the hand/elbow
length). The object had to be reached, grasped, detached from
its support (velcro fixation requiring approximatively a 3 N
force to be detached), brought back to the extended-arm
posture and released in a dedicated bucket. Before the start of
each trial, the prosthesis was automatically brought back to a
standardized initial posture, i.e., elbow fully extended, wrist in
pronosupination with the hand palm aligned with the saggital 2.3.1.2. Preliminary assessment of the classification and
PLM-based prosthesis control The online performance during the preliminary assessment of
the classification and PLM-based control was analyzed using a
Matlab© script to automatically determine within the 5 s interval
allocated to each task (i.e., performing one specific gesture with
the prosthesis), the exact starting time of the participant action
(when the classifier detected a change from the inactivity with
a confidence over 95%) and its end (last time instant of the
classifier output detection of an activity until the end of the 5
s time period). The confusion percentages were then calculated
over these previously selected times of action, based on the ratio
between the time of action and the time during which the correct
movement was performed. After a rapid data treatment, the training phase of the classifier
was followed by a preliminary assessment of the classifier
performance. During this phase, while the online classification
algorithm was running, the participant was asked to induce
given movements of the prosthesis through the phantom limb
mobilization. The participant performed a randomized set of
PLM (12 repetitions of the 8 selected gestures) during which the
movements of the prosthesis reflected the PLM that were detected
by the classifier. Once the movement instruction provided by
the experimenter, the participant had 5 s to perform the task. Within this time period, a failed trial could be followed by a
second one. Once a trial was considered as successful, or when
it lasted more than 5 s, the experimenter asked the participant
to relax before giving the next PLM to perform. In order to
avoid incompatible successions of actions, a pseudo-randomized
list of 12*8 for P1 (reduced to 6*8 for P2, see results) PLM was
performed with intermediate resting periods of a few minutes
every 20 movements. For the grasping tasks, the prosthetic arm joints were extracted
from the worn motion capture glove: the embedded wrist IMU
was used to compute both elbow flexion and wrist prono-
supination angles. Full elbow extension was defined as a null
flexion angle, while the palm parallel to the saggital plane (with
the thumb pointing forward) defined the 0°posture for the wrist
prono-supination. The hand closing level was averaged by the
closing level of the three last fingers (from medium to little). Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 2.3.1.1. Training of the classifier The participant was asked to successively perform once 8 selected
phantom movements (8 movements: Elbow Flexion (EF) and
Extension (EE), Wrist Pronation (WP) and Supination (WS),
hand, resp. Pinch Closing (HC, resp. PC) and Opening (HO,
resp. PC) with a few seconds of rest after each movement. This sequence was repeated once to get 2 demonstrations per
movement. The experimenter was in charge of verbally asking
the subject to execute a given movement and thus determined
the rythm of the performance. No instruction was given about
the amplitude and the velocity of the gesture, only the need of
repeatability was mentioned. It is important to highlight that this November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 5 Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Jarrassé et al. plane, and fully open hand. The final/release positions was
similar, i.e., elbow fully extended and hand opened but without
particular constraint over the wrist orientation. The participants
had the opportunity to perform two trials with each object to
train before the real grasping task phase started. The object
presentation was not randomized and always started with the
simplest object to grasp (cylinder) and finish with the toughest
(clothespin). FIGURE 5 | The objects used for the grasping task. From the left to the right,
a cylinder made from Balsa wood from the kit of objects from the SHAP (Light
et al., 2002) (diameter 60 mm, weight 30 g), a compliant foam tennis ball
(diameter 70 mm, weight 12 g), and a clothespin from the Rolyan Graded
Pinch Exerciser kit (model Yellow, 1 lb Pinch Exerciser, weight 20 g). 2.3.1.2. Preliminary assessment of the classification and
PLM-based prosthesis control The
pinch closing level was defined as the closing level between the
thumb and the index (which came into contact at around 30% of
the pinch closing level because of the associated thumb rotation). 3.2.2. Task Duration The duration of the first grasping phase and the total task
duration (time to grasp, bring back, and release the object) are
shown in Figures 9A,B, for each of the three objects averaged
over the two amputated participants using their prosthesis, and
over the 3 control participants performing the task by sequential
control through the GUI. The first phase durations for the
patients are globally longer than those obtained for the healthy
participants. For the cylinder the difference is small (average of
11.3 s for the amputees vs. 8.3 s for the controls), but for the ball
(26 s vs. 18.7 s) it is longer, and even more for the clothespin
(32.5 s vs. 16.8 s), the latter requiring a precise positioning of
the fingers through precise manipulation of elbow and wrist. In
comparison, the return and release times are shorter (except for
the cylinder) and are showing little discrepancies between the two
groups (see Figure 9B). Interestingly, the return and release of
the ball required an extended time for amputated participants
(18 s instead of 7.4 s). Part of the reason is that these participants
at the end of the return movement added a wrist rotation before
opening the hand (as shown in Figure 7 with the action 8) in
order to prevent a possible bouncing of the ball outside of the
container whereas the controls did not bother about that. 3.1. Preliminary Evaluation of Classification
Performance and PLM-based Control 3.1. Preliminary Evaluation of Classification
Performance and PLM-based Control The confusion matrices for the participants to the preliminary
evaluation of online control of the prosthesis are shown in
Figure 6, indicating an averaged successful recognition score of November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 6 Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Jarrassé et al. FIGURE 6 | Confusion matrix of online control of the prosthesis for P1 (12 repetitions of the 8 movements, i.e., 92 movements, performed) and P2 (6 repetitions of the
8 movements, i.e., 48 movements, performed). Confusion matrix color scale is normalized across methods and increases from white to black as a function of
increasing classification rate. FIGURE 6 | Confusion matrix of online control of the prosthesis for P1 (12 repetitions of the 8 movements, i.e., 92 movements, performed) and P2 (6 repetitions of the
8 movements, i.e., 48 movements, performed). Confusion matrix color scale is normalized across methods and increases from white to black as a function of
increasing classification rate. 88.5% for P1 and 86.9% for P2. The amputated participants
performed, respectively, 12 and 6 repetitions (since P2 was
subject to muscle fatigue, the number of repetitions was dropped
by half) of the 8 different movements of the prosthesis. For P1,
only 92 movements were considered (4 movements among the
96 performed were removed because of some misunderstanding
of the participant, invalidating the action). Principal confusions
can be observed, respectively, between hand and pinch closing
and opening: for P1, 15.7% of the pinch closing actions are
considered as hand closing actions, and 8.4% of the hand
openings are confused with pinch openings; for P2 rather
large confusions exists between hand opening closing (14.9%),
and also between hand and pinch opening (15.5 and 14.1%). Interestingly, these pinch/hand confusions were consistent with
the sensations reported by the participants who indicated that
they had difficulties in preventing the enrollment of the three
other phantom fingers when performing pinch actions. joints is directly impacted by the classifier output changes,
so even a limited (in time) misclassification leads to rather
important oscillations of the prosthesis (especially at the elbow
joint, due to the lever arm effect on the hand position) which
perturbed the task and delayed its completion. November 2018 | Volume 6 | Article 164 3.2.3. Averaged Kinematic Profiles Figure 11 presents the averaged joint kinematic profiles of both
elbow and wrist joints, normalized in time and averaged between
repetitions and participants for the two groups and the three
objects. It can be seen that, independently of the durations, a
similar elbow path strategy is used by the two groups, with a
straight flexion extension for the cylinder, a visible intermediate
step for the wrist adjustment for the ball, and a limited flexion
for the clothespin which was grasped by the prosthetic finger tips
and not its palm. The wrist path differed between the two groups
(along with the variability within groups, more pronounced in
amputees), with unnecessary wrist rotation appearing in the
grasping of the cylinder by the amputated participants (possibly
due to pattern recognition errors), a more segmented path for
the clothespin, and, for the two last objects, no return to the
initial wrist orientation for control participants. As expected, the
trajectories of the control group are smoother than those of the
amputated participants, essentially because of the instability of
PLM control. The amputees control of the prosthesis was suboptimal
compared to the control group performance (11 actions vs. 4 for
the cylinder, 35 vs. 14 for the ball and 33 vs. 14 for the clothespin)
(Figure 9C). For the two latter objects, even the healthy subjects
were not able to fully optimize their sequence of gestures (mean
of 14 sequences instead of the optimal values of 6 for the ball and
7 for the clothespin, respectively). 3.2. Grasp and Release Task Performances
3.2.1. Performance Overview Representative scenarios of participant P1 (one of the three
repetitions) of the three grasping tasks are shown in Figure 7. The profiles of joint kinematics and the associated classification
output are shown in Figure 8. For the cylinder and ball, the
participant P1 was able to perform the task following generic
grasping strategies without performing numerous unnecessary
and parasitic motor actions with the prosthesis. For the
clothespin, he had more trouble stabilizing the elbow at the
correct height (with numerous control jumps in the classifier
output) to be able to grasp it (Figure 8C). As shown on the joint
position profiles of Figure 8, the kinematics of the prosthetic Although the total grasp-and-release time is shorter for the
controls than for the patients, the relation between the total
grasp-and-release time and the needed number of actions to November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 7 Jarrassé et al. Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees FIGURE 7 | Visualization of representative grasping sequences of P1. FIGURE 7 | Visualization of representative grasping sequences of P1. complete the task is rather similar. Indeed, Figure 10 shows the
equations of the best fitting linear relation is close for the two
groups. performing these three tasks, we calculated the averaged number
of sequence steps used by the amputees (phantom limb control
through classification) and the healthy participants (“button
control”). The prosthesis control is considered as optimal when
the sequence number corresponds to the theoretical minimal
number of sequences listed in Table 2. Any increased number
therefore can be due to a control error (possibly because
of an erroneous classification), to a discontinuous movement
(for example an elbow flexion discomposed in several flexion
submovements), or to an alternative sub-optimal motor strategy. This index actually gives an overview of the global performance
of both groups of participants and the control architecture (LDA
classifier) since it is more likely to quickly increase with a
classification architecture rather than with a direct control. 3.2.4. Optimality of Control Sequences Two transhumeral amputated participants have been asked to
repetitively grasp three different objects with an unworn active
eight-DoF prosthetic arm and release them in a dedicated
drawer, thanks to a prosthesis control based on phantom limb The optimal sequences of motor actions to perform the grasping-
releasing tasks of the three objects are shown in Table 2. In order to evaluate the quality of the prosthesis control in November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 8 Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Jarrassé et al. FIGURE 8 | Representative profiles (associated to the 1–9 action indexes shown on Figure 7) of participant P1 for grasping and releasing the three objects
(A: cylinder, B: ball, C: clothespin). Recognized phantom movements (output of the classification algorithm) are shown for each task, along with the associated
measured kinematic variations of the 4 joints: elbow and wrist angles, and percentages of closing of hand and pinch. The action indexes (from 1 to 9) are related to
the similar indices shown on Figure 7. GURE 8 | Representative profiles (associated to the 1–9 action indexes shown on Figure 7) of participant P1 for grasping and releasing the three objects FIGURE 8 | Representative profiles (associated to the 1–9 action indexes shown on Figure 7) of participant P1 for grasping and releasing the three objects
(A: cylinder, B: ball, C: clothespin). Recognized phantom movements (output of the classification algorithm) are shown for each task, along with the associated
measured kinematic variations of the 4 joints: elbow and wrist angles, and percentages of closing of hand and pinch. The action indexes (from 1 to 9) are related to
the similar indices shown on Figure 7. over 90% reported in the literature (Al-Timemy et al., 2013;
Farina et al., 2014). Yet, first, these latter results were obtained
on transradial amputees mobilizing their residual hand and
wrist muscles. It is noteworthy to recall that the present study
was performed with transhumeral amputees, for whom the
phantom limb phenomenon is probably related to cortical and/or
neuromuscular reorganization after the amputation (Wu and
Kaas, 2000; Qi et al., 2004; Gagné et al., 2011), making it more
unstable compared to transradial phantom limbs. Frontiers in Bioengineering and Biotechnology | www.frontiersin.org November 2018 | Volume 6 | Article 164 3.2.4. Optimality of Control Sequences FIGURE 9 | (A) Averaged time (± standard error) to grasp the three different objects for the amputated participants controlling the prosthesis with their phantom limb
(blue) as well as for the healthy participants by sequential control through a dedicated GUI (red) (B) Averaged time (± SE) to return and release the three different FIGURE 9 | (A) Averaged time (± standard error) to grasp the three different objects for the amputated participants controlling the prosthesis with their phantom limb
(blue), as well as for the healthy participants by sequential control through a dedicated GUI (red). (B) Averaged time (± SE) to return and release the three different
objects for the two groups. (C) Averaged number of actions for completing the 3 “grasp and release” tasks. FIGURE 10 | Total grasp-and-release time as a function of the number of actions needed to complete the task for all trials and objects and for each patient (in red)
and healthy control (in blue). Each symbol represents one trial. The best fitting linear relation and their equations use the same color code. sEMG patterns, reduces cognitive fatigue and finally improves
the robustness of this control approach. Such improvements have
indeed been recently reported for the control of PLM of forearm
amputees (Powell et al., 2014). This recognition rate of the PLM still allowed the two
amputated participants to successfully perform the functional
grasp-and-release tasks. And this remains a rather encouraging
performance especially when considering the limited training of FIGURE 9 | (A) Averaged time (± standard error) to grasp the three different objects for the amputated participants controlling the prosthesis with their phantom limb
(blue), as well as for the healthy participants by sequential control through a dedicated GUI (red). (B) Averaged time (± SE) to return and release the three different
objects for the two groups. (C) Averaged number of actions for completing the 3 “grasp and release” tasks. FIGURE 9 | (A) Averaged time (± standard error) to grasp the three different objects for the amputated participants controlling the prosthesis with their phantom limb
(blue), as well as for the healthy participants by sequential control through a dedicated GUI (red). (B) Averaged time (± SE) to return and release the three different
objects for the two groups. (C) Averaged number of actions for completing the 3 “grasp and release” tasks. 3.2.4. Optimality of Control Sequences Indeed, after
transradial amputation, depending on the level of amputation
(the length of the stump directly conditioning the degree of
presence and usability of residual extrinsic hand muscles), the
muscles involved in finger, hand and wrist actions can still
be present. In that case, the neuromuscular reorganization is
probably less important. Second, none of these two participants
mobilize their phantom limb in their daily living activities, so the
used PLM were fully unusual and untrained. One might expect
that training of PLM-execution probably stabilizes the associated mobilization and myoelectric pattern recognition techniques,
with a classifier trained using only two repetitions of each
PLM. The participants successfully achieved the tasks, even
if the completion times were increased (in comparison with
the performances obtained by a control group using a simple
GUI control) and the control strategies required numerous
corrections. The recognition rate averaged over all movements revealed
to be rather high (on the average 86.4% for the two amputated
participants) indicating that they were able to control 8 different
prosthetic movements with a limited set of 6 electrodes placed
over their residual upper-arm limb. The main confusions
appeared between the hand and pinch actions. However,
this confusion did not directly alter the grasp and release
performances since even the precise clothespin grasping could be
performed with the whole hand instead of a pinch. Although successful, this online recognition and control
rate remains slightly lower than the latest classification rate of November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 9 Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Jarrassé et al. FIGURE 9 | (A) Averaged time (± standard error) to grasp the three different objects for the amputated participants controlling the prosthesis with their phantom limb
(blue), as well as for the healthy participants by sequential control through a dedicated GUI (red). (B) Averaged time (± SE) to return and release the three different
objects for the two groups. (C) Averaged number of actions for completing the 3 “grasp and release” tasks. 3.2.4. Optimality of Control Sequences FIGURE 10 | Total grasp-and-release time as a function of the number of actions needed to complete the task for all trials and objects and for each patient (in red)
and healthy control (in blue). Each symbol represents one trial. The best fitting linear relation and their equations use the same color code. FIGURE 10 | Total grasp-and-release time as a function of the number of actions needed to complete the task for all trials and objects and for each patient (in red)
and healthy control (in blue). Each symbol represents one trial. The best fitting linear relation and their equations use the same color code. sEMG patterns, reduces cognitive fatigue and finally improves
the robustness of this control approach. Such improvements have
indeed been recently reported for the control of PLM of forearm
amputees (Powell et al., 2014). This recognition rate of the PLM still allowed the two
amputated participants to successfully perform the functional
grasp-and-release tasks. And this remains a rather encouraging
performance especially when considering the limited training of November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 10 Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Jarrassé et al. FIGURE 11 | Plots of the averaged joint kinematic profiles of both elbow and wrist joints, normalized in time and averaged between repetitions and participants for the
amputated (blue) and control (red) participants, and the three objects. Standard error is represented by the transparent envelopes around the curves. FIGURE 11 | Plots of the averaged joint kinematic profiles of both elbow and wrist joints, normalized in time and averaged between repetitions and participants for the
amputated (blue) and control (red) participants, and the three objects. Standard error is represented by the transparent envelopes around the curves. myoelectric control of active wrist and hand prostheses. Their
kinematic strategies (as shown in Figure 11 and action-to-time
ratio (as shown in Figure 10 were rather similar but the durations
for the two complex grasps (ball and clothespin) were extended
in comparison with those obtained by the control participants in
their simplified -but still sequential- control task. When looking
into detail the movement sequences of the prosthesis, it appeared
that the major task difficulty lies in the grasping part of the
task, which is not surprising since the grasping is only possible
with a precise positioning of the hand. 3.2.4. Optimality of Control Sequences The return and release
phase increased in amputees because of an additional wrist
reorientation phase at the end before releasing the object. This
was probably due to the fact that the amputated participants were
more conscientious and wanted to have the object not bouncing
out of the bucket, whereas the control participants did not bother
about this. TABLE 2 | Optimal sequences of motor action for completing each grasp and
release task. Objects
Balsa cylinder
Foam ball
clothespin
Optimal
sequences
Flex the elbow and
stop it
at the final height
Supinate the wrist
to orient
the palm facing
the top
Supinate the wrist
to orient
the palm facing
the top
Close the hand
over the object
Flex the elbow and
stop it
at the final height
Flex the elbow and
stop it
at the final height
Fully extend the
elbow
Close the hand
over the object
Correct the wrist
orientation to
face the clothespin
with pinch
Open hand to
release object
Fully extend the
elbow
Close the pinch
over the object
Pronate the wrist
back
to initial orientation
Fully extend the
elbow
Open hand to
release object
Pronate the wrist
back
to initial orientation
Open hand to
release object
Optimal
number of
sequences
4
6
7 Several reasons can be responsible for the longer durations
and the higher number of actions needed for completing the
task, the most important probably being the control delay
induced by the classification of the PLM. Precise positioning
of the segments of the prosthesis required a precise temporal
control of the activation of the corresponding movements, which
was clearly different between the tasks for the two groups. Indeed, the PLM-based control architecture induced additional
delays of up to 512 ms because of the windowing and filtering
effect of the classification algorithm. This clearly increased the
difficulty to stop the elbow flexion at the desired height and
possibly induced the flexion/extension oscillations observed for
the elbow joint, shown in Figure 8 for the clothespin task. November 2018 | Volume 6 | Article 164 3.2.4. Optimality of Control Sequences This
work
demonstrates
the
effectiveness
of
a
bio-
inspired system successfully conjugating the advantages of
an underactuated, anthropomorphic hand with a PCA-based
control strategy, and opens up promising possibilities for the
development of an intuitively controllable hand prosthesis. p
y
p
Despite the above-mentioned difficulties, our two patients
were able, without any beforehand PLM-training, to control 8
different movements of a prosthesis in a more efficient, simple,
and dexterous way that conventional (dual-site) myoelectric
control can offer. While TMR is now becoming a generic solution
for transhumeral amputees to increase their control capabilities
over (or simply allow the use of) prosthesis with more than 2
active DoF (i.e., when an active elbow is added to the prosthetic
wrist and hand), the preliminary results obtained in this study
and other research teams exploiting the natural myoelectric
activity related to PLM, pushes toward a reconsideration of the
possibility of extracting more control signals without undergoing
invasive surgical procedures. Obviously, TMR is providing an
interesting way of stabilizing and reinforcing the myoelectric
patterns related to PLM. This eases the decoding of myoelectric
activities and is possibly one major key to overcome the issue
of the perturbations generated by the wearing of the prosthesis. Nonetheless, recent “realistic” use of TMR in transhumeral
amputees, controlling a 3-active-DoF-prosthesis through pattern
recognition (Hargrove et al., 2017), still required either the use
of a 15-electrodes-array placed over the stump (as described
in Tkach et al., 2014), or the use of the conventional signal
control switch to control the wrist when a direct control with
a set of 4 electrodes was used. Therefore, there seems to be
a real interest in pushing further our understanding of the
phenomenon of natural (i.e., without TMS) residual myoelectric
activity related to PLM. This could possibly be a viable option
in some transhumeral amputees desiring to control 3 active
joints. The obtained results show that amputated participants were
able, after a very short appropriation of all task requirements
(i.e., 2 repetitions for training, 8 preliminary repetitions of each
PLM and two preliminary trials of each grasp-and-release task),
to manage the rather complex interaction between their PLM,
the associated actions of the prosthesis and, through it, their
physical interaction with objects and the environment. The PLM-
based control revealed to be rather intuitive. 3.2.4. Optimality of Control Sequences This
delay can probably be decreased by the reduction of the sliding
window time to 256 ms and the associated overlap to 64 ms, the participants compared to the several days (or weeks) sessions
usually required in upper-limb amputees to master a simple
(but constraining in terms of muscular contraction amplitudes) the participants compared to the several days (or weeks) sessions
usually required in upper-limb amputees to master a simple
(but constraining in terms of muscular contraction amplitudes) November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 11 Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Jarrassé et al. by the optimization of the set of features (the sample entropy
being computationally time-consuming) and by using compiled
programming languages. eliminate the problem of the stump/socket physical connection,
(3) electrode implantation (Mastinu et al., 2017) minimizing the
issue with skin impedance and movements, and of course (4)
more robust architectures of pattern recognition, integrating the
stump posture (tracked through IMUs for example) to integrate
the actual arm posture in the signal classification (Lauretti et al.,
2016). p
g
g
g
g
Another reason for the reduced performance of the amputated
participants is that the task was more complex for them (i.e.,
precise and reproducible mobilization of their phantom limb)
than for the control participants (simply acting over a mouse),
and, moreover, prolonged phantom limb mobilization induces
fatigue (De Graaf et al., 2016), which influenced the sEMG
signals and thus reduced the rate of successful classification of
the PLM. This might have caused the increase of durations
and number of actions for the ball and clothespin objects
(which were presented after the cylinder). Finally, the patients
reported that they had to concentrate when performing the
PLM (specially to prevent from performing “unusual” corrective
actions which would have perturbed the classifier) and to perform
clear separations (i.e., a time of inactivity) between the different
PLM to maximize the recognition rate. This also contributed
to increasing the task durations. Yet, interestingly, even the
durations of the control group are extended when compared to
the time it takes to grasp and release the objects with an intact
arm (below 5 s). This suggests that, more than the complexity
of phantom limb mobilization, the impossibility of performing
simultaneous actions is one of the main causes of the prolonged
durations needed to perform these grasp-and-release tasks. Frontiers in Bioengineering and Biotechnology | www.frontiersin.org REFERENCES Finley, F. R., and Wirta, R. W. (1967). Myocoder studies of multiple myopotential
response. Arch. Phys. Med. Rehabil. 48:598. Al-Timemy, A. H., Bugmann, G., Escudero, J., and Outram, N. (2013). Classification of finger movements for the dexterous hand prosthesis control
with surface electromyography. IEEE J. Biomed. Health Inform. 17, 608–618. doi: 10.1109/JBHI.2013.2249590 Gagné, M., Hétu, S., Reilly, K., and Mercier, C. (2011). The map is not the territory:
motor system reorganization in upper limb amputees. Hum. Brain Mapp. 32,
509–519. doi: 10.1002/hbm.21038 Garbarini, F., Bisio, A., Biggio, M., Pia, L., and Bove, M. (2018). Motor sequence
learning and intermanual transfer with a phantom limb. Cortex 101, 181–191. doi: 10.1016/j.cortex.2018.01.011 André, J., and Paysant, J. (2006). Les amputés en chiffres: épidémiologie. Module
de MPR et Appareillage, co. fe mer avril. Available online at: www.cofemer.fr/
UserFiles/File/AP2Amp_Chiffres.pdf Gaudet,
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153–164. doi: 10.1016/j.engappai.2017.10.017 Atkins, D. J., Heard, D. C., and Donovan, W. H. (1996). Epidemiologic
overview of individuals with upper-limb loss and their reported research
priorities. J. Prosthet. Orthot. 8, 2–11. doi: 10.1097/00008526-199600810-
00003 Hargrove, L. J., Miller, L. A., Turner, K., and Kuiken, T. A. (2017). Myoelectric
pattern recognition outperforms direct control for transhumeral amputees with
targeted muscle reinnervation: a randomized clinical trial. Sci. Rep. 7:13840. doi: 10.1038/s41598-017-14386-w Atzori, M., Gijsberts, A., Castellini, C., Caputo, B., Mittaz Hager, A.-G., Elsig,
S., et al. (2016). Clinical parameter effect on the capability to control
myoelectric robotic prosthetic hands. J. Rehabil. Res. Dev. 53, 345–358. doi: 10.1682/JRRD.2014.09.0218 He, J., and Zhu, X. (2017). Combining improved gray-level co-occurrence
matrix with high density grid for myoelectric control robustness to
electrode shift. IEEE Trans. Neural Syst. Rehabil. Eng. 25, 1539–1548. doi: 10.1109/TNSRE.2016.2644264 Belter, J. T., and Dollar, A. M. (2011). “Performance characteristics of
anthropomorphic prosthetic hands,” in Rehabilitation Robotics (ICORR), 2011
IEEE International Conference on (Zurich: IEEE), 1–7. Biddiss, E., and Chau, T. (2007). Upper-limb prosthetics: critical factors
in device abandonment. Am. J. Phys. Med. Rehabil. 86, 977–987. doi: 10.1097/PHM.0b013e3181587f6c Herberts, P., Almström, C., Kadefors, R., and Lawrence, P. D. (1973). Hand
prosthesis control via myoelectric patterns. Acta Orthopaed. Scand. 44, 389–
409. doi: 10.3109/17453677308989075 Castellini, C., Artemiadis, P., Wininger, M., Ajoudani, A., Alimusaj, M., Bicchi,
A., et al. (2014). Proceedings of the first workshop on peripheral machine
interfaces: going beyond traditional surface electromyography. 3.2.4. Optimality of Control Sequences This is confirmed
by the fact that the patients never used their PLM in daily
life and still were able to control the prosthesis without any
beforehand training. Moreover, the patients instinctively tried
to correct unplanned actions generated at the prosthesis level
with adapted phantom movements (as we do with intact limbs)
but unfortunately not known by the classifier. This intrinsic
limitation of the pattern recognition techniques that can only
recognize specific and known (trained) PLM, still limits the
intuitiveness and naturalness of the approach. j
The transhumeral amputees who were recruited in the study
had received no prior training with the PLM-based-control
approach. Better results, in terms of precision and completion
times, can be expected with regular PLM-training. Furthermore,
improving the control of the prosthetic joints (especially the
elbow involved in numerous and rather long displacements),
with exponential velocity and smoothened acceleration profiles
to restore human-like movement properties (isochrony and
minimization of the jerk (Viviani and Flash, 1995) will have
a positive effect on the controllability. Bio-inspired approaches
minimizing the control dimensionality through mechanical
underactuation and models of finger joint synergies (as proposed
by Magenes et al., 2008 or Matrone et al., 2010) could
strongly enhance amputees’ abilities in object manipulation tasks. Finally, providing additional sensory feedback to the participant,
especially concerning the interaction of the prosthesis with the Obviously, in the current state of the control architecture,
the control performance can be expected to be reduced with
a worn prosthesis. Indeed, the current limited robustness of
pattern recognition techniques is a major obstacle, particularly
when they have to be used in realistic scenarios including a
worn prosthesis. This will generate additional constraints such
as pressure and sweating, along with a mobile residual limb
generating non-“phantom limb related” muscle contractions. These factors will affect the sEMG signals and thus decrease
the PLM detection rate. Yet, this is a generic problem in
the field of pattern recognition of electro-physiological signals,
and numerous solutions are actually developed that could
compensate for the listed issues. Examples of these solutions are
(1) robustness to electrodes shift (Muceli et al., 2014; He and Zhu,
2017), (2) use of osseointegration (Ortiz-Catalan et al., 2014) to November 2018 | Volume 6 | Article 164 Frontiers in Bioengineering and Biotechnology | www.frontiersin.org 12 Phantom-Mobility-Based Prosthesis Control in Transhumeral Amputees Jarrassé et al. NJ, CN, JdG, EdM, and AT participated in the experimental
session with the amputated participant. AUTHOR CONTRIBUTIONS NJ, EdM, JdG, CN, AT designed the protocol. EdM, FR, and
NJ built the experimental platform, and EdM collected the data
with the healthy participants. AT, NM, and JP contacted the
amputated participant and organized the experimental session. The authors warmly thank the patients included in this
protocol along with the orthopaedic-fitting team, in particular
F. Codemard, K. Georges, Y. Corbel, and B. Juncker. We also
thank T. Coyle for proofreading the article. FUNDING The study was financially supported by the ANR (project
PhantoMovCOntrol ANR-15-CE19-0008-02) and the Labex
SMART (ANR-11-LABX-65) supported by French state funds
managed by the ANR within the Investissements d’Avenir
programme under reference ANR-11-IDEX-0004-02. The study was financially supported by the ANR (project
PhantoMovCOntrol ANR-15-CE19-0008-02) and the Labex
SMART (ANR-11-LABX-65) supported by French state funds
managed by the ANR within the Investissements d’Avenir
programme under reference ANR-11-IDEX-0004-02. 3.2.4. Optimality of Control Sequences NJ, JdG, CN, and AT
analyzed the data, and wrote the present report. environment could be a game changer in helping amputated
persons in performing such tasks, whatever control technique is
used. For instance, artificially provoking phantom limb referred
sensations, as recently tested in (Osborn et al., 2018), could be a
relevant technique, particularly when prosthesis control is PLM-
based. More amputated participants will be included in future
experiments in order to reinforce the first results presented here
and investigate the influence of phantom limb mobility training
on the control performance. In such way, the often occurring
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major upper-limb amputees. Arch. Phys. Med. Rehabil. 92, 1967–1973. doi: 10.1016/j.apmr.2011.06.026 Conflict of Interest Statement: The authors declare that the research was
conducted in the absence of any commercial or financial relationships that could
be construed as a potential conflict of interest. Conflict of Interest Statement: The authors declare that the research was
conducted in the absence of any commercial or financial relationships that could
be construed as a potential conflict of interest. Phinyomark, A., Quaine, F., Charbonnier, S., Serviere, C., Tarpin-Bernard,
F., and Laurillau, Y. (2013). EMG feature evaluation for improving
myoelectric pattern recognition robustness. Exp. Syst. Appl. 40, 4832–4840. doi: 10.1016/j.eswa.2013.02.023 Copyright © 2018 Jarrassé, de Montalivet, Richer, Nicol, Touillet, Martinet, Paysant
and de Graaf. 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. Powell, M. A., Kaliki, R. R., and Thakor, N. V. (2014). User training for pattern
recognition-based myoelectric prostheses: improving phantom limb movement
consistency and distinguishability. IEEE Trans. Neural Syst. Rehabil. Eng. 22,
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P2X7R modulation of visually evoked synaptic responses in the retina
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Purinergic signalling
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Purinergic Signalling
DOI 10.1007/s11302-016-9522-7 Purinergic Signalling
DOI 10.1007/s11302-016-9522-7 ORIGINAL ARTICLE P2X7R modulation of visually evoked synaptic
responses in the retina Neuromodulation * Thomas E. Salt
T.Salt@ucl.ac.uk * Thomas E. Salt
T.Salt@ucl.ac.uk
1
Visual Neuroscience, UCL Institute of Ophthalmology,
London EC1V 9EL, UK
2
Ocular Biology and Therapeutics, UCL Institute of Ophthalmology,
London EC1V 9EL, UK
3
NIHR Biomedical Research Centre in Ophthalmology,
London EC1V 9EL, UK 1
Visual Neuroscience, UCL Institute of Ophthalmology,
London EC1V 9EL, UK P2X7R modulation of visually evoked synaptic
responses in the retina Seetal Chavda1 & Philip J. Luthert2,3 & Thomas E. Salt1 Received: 14 January 2016 /Accepted: 24 June 2016
# The Author(s) 2016. This article is published with open access at Springerlink.com Received: 14 January 2016 /Accepted: 24 June 2016
# The Author(s) 2016. This article is published with open access at Springerlink.com Abstract P2X7Rs are distributed throughout all layers of the
retina, and thus, their localisation on various cell types puts
into question their specific site(s) of action. Using a dark-
adapted, ex vivo mouse retinal whole mount preparation, the
present study aimed to characterise the effect of P2X7R acti-
vation on light-evoked, excitatory RGC ON-field excitatory
post-synaptic potentials (fEPSPs) and on outer retinal electro-
retinogram (ERG) responses under comparable conditions. The pharmacologically isolated NMDA receptor-mediated
RGC ON-fEPSP was reduced in the presence of BzATP, an
effect which was significantly attenuated by A438079 and
other selective P2X7R antagonists A804598 or AF27139. In
physiological Krebs medium, BzATP induced a significant
potentiation of the ERG a-wave, with a concomitant reduction
in the b-wave and the power of the oscillatory potentials. Conversely, in the pharmacologically modified Mg2+-free per-
fusate, BzATP reduced both the a-wave and b-wave. The ef-
fects of BzATP on the ERG components were suppressed by
A438079. A role for P2X7R function in visual processing in
both the inner and outer retina under physiological conditions
remains controversial. The ON-fEPSP was significantly re-
duced in the presence of A804598 but not by A438079 or
AF27139. Furthermore, A438079 did not have any effect on
the ERG components in physiological Krebs but potentiated and reduced the a-wave and b-wave, respectively, when applied
to the pharmacologically modified medium. Therefore, activa-
tion of P2X7Rs affects the function in the retinal ON pathway. The presence of a high concentration of extracellular ATP would
most likely contribute to the modulation of visual transmission in
the retina in the pathophysiological microenvironment. Abstract P2X7Rs are distributed throughout all layers of the
retina, and thus, their localisation on various cell types puts
into question their specific site(s) of action. Using a dark-
adapted, ex vivo mouse retinal whole mount preparation, the
present study aimed to characterise the effect of P2X7R acti-
vation on light-evoked, excitatory RGC ON-field excitatory
post-synaptic potentials (fEPSPs) and on outer retinal electro-
retinogram (ERG) responses under comparable conditions. Keywords P2X7 receptor . Adenosine 5′-triphosphate . Retina . Neuromodulation Keywords P2X7 receptor . Adenosine 5′-triphosphate . Retina . 2
Ocular Biology and Therapeutics, UCL Institute of Ophthalmology,
London EC1V 9EL, UK 3
NIHR Biomedical Research Centre in Ophthalmology,
London EC1V 9EL, UK Introduction The P2X7 receptor (P2X7R) is the most diverse receptor sub-
type of the P2X family in both structure and function [1]. ATP-gated P2X7Rs have been detected in neurons and glia,
in both inner and outer synapse-rich and nuclear layers of the
retina. They are functionally expressed by retinal ganglion
cells [2–10] and Müller glial cells [11], and their presence on
amacrine, horizontal [7, 12, 13] and microglial cells [4, 7] has
also been suggested. The upregulation of P2X7R expression
and activation by extracellular ATP is associated with the el-
evation of intracellular calcium and subsequent photoreceptor
and retinal ganglion cell (RGC) death, thus implicating a role
for P2X7Rs in retinal degenerations such as retinitis
pigmentosa, glaucoma, age-related macular degeneration
(AMD) and retinopathies [14, 15]. The P2X7R is relatively insensitive to its extracellular ag-
onist, adenosine 5′-triphosphate (ATP), and exhibits a biphasic
agonist-evoked response, dependent upon the agonist expo-
sure time [16]. Similar to other P2X subtypes, a brief agonist
application induces a reversible, transient inward current
through a non-selective ion channel, permeable to small cat-
ions. Repeated or prolonged agonist application gives rise to a
sustained current, which could ultimately lead to cell death, Purinergic Signalling unlimited access to food and water. All procedures were in
accordance with the UK Animals (Scientific Procedures) Act
1986 and approved by the UK Home Office and the
University College London local ethics committee. assumed to be associated with the opening of a large pore that
is permeable to molecules of high molecular weight
(<900 Da) [16, 17]. Although P2X7R function in retinal pathophysiology is
becoming established, the role of these receptors in synaptic
function in the healthy retina has remained largely unex-
plored, until now. The specific localisation of P2X7Rs on neu-
rons of the vertical rod-mediated pathway suggests that these
receptors may have an important role in modulating scotopic
visual responses under physiological conditions [7, 13]. Under physiological conditions, in vivo electroretinogram
(ERG) studies have shown alterations to both outer and inner
retinal function, in response to short-term administration of
the P2XR agonist, BzATP, in the rat retina [7, 12, 13]. However, the specific contribution of P2X7Rs to the BzATP-
mediated modulation of retinal function remains elusive. A
further complexity is that P2X7Rs are distributed throughout
all layers of the retina, adding to the uncertainty of the specific
site(s) of action for these receptors in modulating neurotrans-
mission within the retina. Introduction In line with this notion, it is unclear
from the sole use of ERG recordings whether P2X7Rs also
directly modulate retinal ganglion cell synaptic function. Response acquisition and recording electrode Transretinal electroretinogram (ERG) and RGC field excitato-
ry post-synaptic potential (fEPSP) recordings were made via
Krebs medium-filled extracellular recording electrodes (2–
8 MΩ), pulled from borosilicate capillaries (1.2 × 0.69 mm,
Clark Electromedical Instruments). Responses were recorded
with an Axoprobe-1A amplifier (Axon Instruments), digitised
(5 kHz) via a CED1401 interface and stored on a computer
with Spike2 software (Cambridge Electronic Design Ltd.,
Cambridge, UK). Mains-related noise (50 Hz) was eliminated
with a Humbug noise reduction system (Quest Scientific). Preparation of the ex vivo mouse retinal whole mount All procedures were carried out in low-light conditions and
red light was used for illumination, unless otherwise stated. Animals were killed by cervical dislocation and decapitation. The eyes were rapidly removed and placed into an ice-cold,
oxygenated sucrose Krebs medium containing the following
(mM): sucrose 202, KCl 2, KH2PO4 1.25, MgSO4 10, CaCl2
0.5, NaHCO3 26 and glucose 10. The eyes were placed in a
Petri dish containing sucrose Krebs medium, under a dissec-
tion microscope, and the optic nerve and extra-ocular muscle
tissue were removed from the sclera. A cut was made at the
ora serrata, and the cornea and iris were removed, followed by
the removal of the lens and vitreous. The open eye-cup,
consisting of the intact retina, retinal pigment epithelium and
sclera, was cut into quadrants to allow it to lie flat, as a whole
mount preparation, with the integrity of the retinal circuitry
maintained and attached to the retinal pigment epithelium. A large body of evidence suggests a role for neuronal
P2X7Rs in the modulation of neurotransmitter release and
subsequent regulation of synaptic function [17]. P2X7R-me-
diated neurotransmitter release has been detected in the cere-
bellum [18], cerebral cortex and midbrain preparations
[19–21], hippocampus [22] and neuromuscular junction
[23]. Indeed, similar mechanisms may be at play within the
retina, and the expression of P2X7Rs on Müller glia and mi-
croglia also implicates a contribution to neuromodulation by
non-neuronal sources to visual processing, by the activation of
these receptors. Perfusion and recording chamber The retinal whole mount, ganglion cell layer side up, was
transferred to a blacked-out interface recording chamber. The retina was held partially submerged and superfused with
oxygenated Krebs medium containing the following (mM):
NaCl 124, KCl 2, KH2PO4 1.25, MgSO4 1, CaCl2 2,
NaHCO3 26 and glucose 10, at 0.4 ml/min and 36 ± 0.2 °C. The whole mount was left to recover for approximately
60 min prior to experimentation. The aim of the present study was to investigate the effect of
P2X7R activation on visually evoked synaptic responses at the
level of the photoreceptor, the ON bipolar cell, and RGC. We
have performed this using a dark-adapted ex vivo mouse ret-
inal whole mount preparation to record extracellular, light-
evoked retinal responses and with the use of selective
P2X7R compounds. Our findings suggest that functional
P2X7Rs are present throughout the visual pathway in the ret-
ina and that their activation leads to modulation of visual
responses. Animals To obtain transretinal ERG responses, the recording elec-
trode was manually lowered onto the surface of the retinal
whole mount, without breaking into the retinal layers. For
RGC fEPSP acquisition, a MS314 electronic micromanipula-
tor (Marzhauser-Wetzler) was used to further lower the elec-
trode vertically, from the surface of the whole mount in 5– Adult (4–12 weeks) C57BL/6 mice (Harlan Laboratories,
UK) were housed on a 12-h light/dark cycle, in the
Biological Resources Unit, Institute of Ophthalmology,
University College London. The animals were given Purinergic Signalling 10 μm steps, at a rate of 1 μm/step, every 10–15 s until break-
through to the ganglion cell layer, where recordings were ob-
tained. Figure 1 illustrates the positions of the recording elec-
trodes for acquisition of ERG and fEPSP responses. guide set 2 cm above the preparation. ERG responses were
stimulated with a 10-ms duration flash, repeated every 3 s. RGC fEPSPs were stimulated with a 1-s duration flash, repeated
every 3 s. For all experiments, the light stimulus was set to an
intensity at which sub-maximal responses were elicited, typical-
ly within the range of −1.47 to −0.96 log cd s/m2. Visual stimulation and characterisation of responses Upon stimulation, the transretinal ERG exhibited a charac-
teristic waveform, composed of the negative a-wave, a prom-
inent and large-amplitude positive b-wave and oscillatory po-
tentials superimposed on the leading edge of the b-wave, qual-
itatively similar to rodent rod ERGs obtained in vivo [24]. For
the RGC fEPSP experiments, the onset and termination of the
light stimulus produced negative RGC ON- and OFF-fEPSPs,
respectively, similar to those described previously [25, 26]. The retinal whole mount was stimulated with a full-field, green
light-emitting diode (LED; λ = 562 nm) via a fibre-optic light g
g
(
)
p
g
LIGHT
ON
OFF
Fig. 1 Placement of recording electrodes for acquisition of transretinal
electroretinogram and retinal ganglion cell fEPSP responses. Schematic
illustrates retinal circuitry and the respective positions of the recording
electrode for the electrophysiological experiments. The retinal whole
mount was placed in the bath, ganglion cell layer side up. The full-field
light flash stimulus was placed above the slice, and the arrow shows the
direction in which the light travelled. Top trace, Typical transretinal
electroretinogram response recorded by lowering the electrode onto the
surface of the retinal whole mount, without breaking into the layers. The
response was repeatedly elicited by a single 10-ms duration flash (green
arrow), with a 3-s interval. Bottom trace, Retinal ganglion cell fEPSPs
were recorded by placing the electrode in the ganglion cell layer. The
green bar represents the duration of the stimulus (1 s), which was
repeated at 3-s intervals. Upon stimulus onset, an ON retinal ganglion
cell fEPSP was generated. Stimulus offset produced an OFF retinal
ganglion cell fEPSP. ONL outer nuclear layer, OPL outer plexiform
layer, INL inner nuclear layer, IPL inner plexiform layer, GCL ganglion
cell layer, M microglia, cBC cone bipolar cell, rBC rod bipolar cell, AII
AII amacrine cell LIGHT
ON
OFF LIGHT
ON
OFF
Fig. 1 Placement of recording electrodes for acquisition of transretinal
electroretinogram and retinal ganglion cell fEPSP responses. Schematic
illustrates retinal circuitry and the respective positions of the recording
l
d
f
h
l
h
i l
i
l
i
Th
i
l
h l Pharmacological investigations Pharmacological compounds were added into the bathing me-
dium, which continuously superfused the retinal preparation
through the course of each experiment. All ERG experiments
were carried out in either physiological, low Mg2+, or a phar-
macologically modified Krebs medium (hereafter referred to
as PMSTN) that was composed of the following (mM): NaCl
124, KCl 2, KH2PO4 1.25, CaCl2 2, NaHCO3 26, glucose 10,
NBQX 0.01, picrotoxin 0.1, strychnine 0.005 and tetrodotoxin
0.0001. AMPA, GABAA/C and glycine receptors and sodium
channels were blocked with NBQX, picrotoxin, strychnine
and tetrodotoxin, respectively. The effect of P2X7R activation
on synaptic transmission at rod photoreceptor-ON bipolar cell
synapses was investigated under three different conditions: (1)
physiological Krebs medium, (2) low Mg2+ Krebs medium
and (3) PMSTN (as with the RGC experiments). Firstly, nor-
mal Krebs medium was used to explore the effect of P2X7R
activation on the ERG under physiological conditions. PMSTN medium was used as it allowed comparison of the
effect of P2X7R activation on the ERG and the ON-RGC
fEPSP under similar conditions. Additionally, it also enabled
us to identify whether an upstream mechanism in the outer
retina could be influencing the effect further downstream at
the level of the retinal ganglion cells. The use of the low Mg2+
perfusate enabled further characterisation of the role of
P2X7Rs in the retina, as their activation is considered to be
enhanced in the absence of divalent cations. All RGC fEPSP
experiments were undertaken using the PMSTN medium, in
order prevent action potential firing and to isolate and reveal
the NMDA-mediated component of the RGC ON-fEPSPs. Fig. 1 Placement of recording electrodes for acquisition of transretinal
electroretinogram and retinal ganglion cell fEPSP responses. Schematic
illustrates retinal circuitry and the respective positions of the recording
electrode for the electrophysiological experiments. The retinal whole
mount was placed in the bath, ganglion cell layer side up. The full-field
light flash stimulus was placed above the slice, and the arrow shows the
direction in which the light travelled. Top trace, Typical transretinal
electroretinogram response recorded by lowering the electrode onto the
surface of the retinal whole mount, without breaking into the layers. The
response was repeatedly elicited by a single 10-ms duration flash (green
arrow), with a 3-s interval. Bottom trace, Retinal ganglion cell fEPSPs
were recorded by placing the electrode in the ganglion cell layer. Pharmacological investigations The
green bar represents the duration of the stimulus (1 s), which was
repeated at 3-s intervals. Upon stimulus onset, an ON retinal ganglion
cell fEPSP was generated. Stimulus offset produced an OFF retinal
ganglion cell fEPSP. ONL outer nuclear layer, OPL outer plexiform
layer, INL inner nuclear layer, IPL inner plexiform layer, GCL ganglion
cell layer, M microglia, cBC cone bipolar cell, rBC rod bipolar cell, AII
AII amacrine cell Differences in protocols for investigating P2X7R function
in ERG and RGC fEPSP experiments are highlighted where
necessary. The P2X7R agonist, BzATP, was applied for
10 min. For the concentration-response investigation of
BzATP on RGC ON-fEPSPs, no more than two applications
of BzATP were used on one preparation, regardless of con-
centration. The same protocol was followed for the AII amacrine cell Purinergic Signalling signal by high-frequency noise. A secondary low-pass filter
(<15 Hz) was applied to isolate a smoothed ERG and eliminate
the oscillatory potentials. Figure 2 shows no overall distortion in
the power spectra or waveforms of the low-frequency ERG
components (a-wave and b-wave), following two orders of
low-pass filtering. The smoothed waveform ensured accurate
measurement of the a-wave slope and b-wave amplitude with-
out contamination from the oscillatory potentials. concentration-response investigation of adenosine on RGC
fEPSP responses. To test the effect of BzATP in the presence of the P2X7R
antagonist A438079 on both ERG and RGC fEPSP responses,
BzATP (300 μM) was added to the PMSTN medium for
10 min, followed by a 30–40-min washout period. A438079
was then added to the medium and allowed to superfuse the
retina until a stable response was reached (∼20–30 min). BzATP was then co-applied with the antagonist-containing me-
dium. In separate experiments, the effect of the P2X7R antago-
nists A804598 and AF27139 (both prepared in DMSO) on the
BzATP-mediated effect on RGC fEPSPs was tested using the
same protocol as for A438079. As a control, DMSO (0.1 %)
was added to the PMSTN medium in these experiments. The slope of the a-wave, which reflects photoreceptor ac-
tivity [27], was measured between the onset and peak of the a-
wave. The b-wave peak amplitude was measured from the
peak of the a-wave to half the recovery phase of the b-wave
and is known to reflect ON bipolar cell function [28]. Sweeps
were analysed by averaging these parameters over 60 s,
throughout the time course of the experiment. Digital filtering and analysis of ERG components The ERG traces were analysed offline using Spike2 software
(Cambridge Electronic Design, UK). Waveforms were initially
low-pass-filtered (<250 Hz) to reduce contamination of the 10
20
30
0
0
50
100
150
200
Power (µV.sec)2
Frequency (Hz)
200 ms
40 μV
< 250 Hz
< 250 Hz
+ < 15 Hz
< 250 Hz
+ > 60 Hz
Filter
frequencies
Low to mid-frequency a-wave and b-wave components
dominate the power spectrum
High frequency oscillatory potentials
A
B
Fig. 2 Digital filtering of transretinal electroretinogram responses. a
Dark-adapted electroretinogram (ERG) power spectra (300 s averages)
under various filter settings. The ERG was low-pass-filtered (<250 Hz;
dashed traces), with the prominent a-wave and b-wave components
within the low to mid frequency range. Further low-pass filtering
(<15 Hz; dotted traces) eliminated the high-frequency component
(oscillatory potentials). A high-pass filter (>60 Hz; solid trace) was
applied after the first filter in order to isolate the high-frequency
oscillatory potentials, which exhibited a peak frequency of
approximately 100 Hz. b Waveform averages illustrate the effect of the
filter settings on the shape of the ERG. Application of two orders of low-
pass filter did not distort the waveform keeping the a-wave and b-wave
intact. Application of the high-pass filter eliminated the a-wave and b-
wave isolating the oscillatory potentials for further analysis. Arrows
represent onset of flash stimulus (10 ms) 10
20
30
0
0
50
100
150
200
Power (µV.sec)2
Frequency (Hz)
Low to mid-frequency a-wave and b-wave components
dominate the power spectrum
High frequency oscillatory potentials
A A Low to mid-frequency a-wave and b-wave components
dominate the power spectrum 200 ms
40 μV
< 250 Hz
< 250 Hz
+ < 15 Hz
< 250 Hz
+ > 60 Hz
Filter
frequencies
B B Fig. 2 Digital filtering of transretinal electroretinogram responses. a
Dark-adapted electroretinogram (ERG) power spectra (300 s averages)
under various filter settings. The ERG was low-pass-filtered (<250 Hz;
dashed traces), with the prominent a-wave and b-wave components
within the low to mid frequency range. Further low-pass filtering
(<15 Hz; dotted traces) eliminated the high-frequency component
(oscillatory potentials). A high-pass filter (>60 Hz; solid trace) was
applied after the first filter in order to isolate the high-frequency oscillatory potentials, which exhibited a peak frequency of
approximately 100 Hz. b Waveform averages illustrate the effect of the
filter settings on the shape of the ERG. Pharmacological investigations Drug effects
on both response components were measured by calculating
the mean ± SEM percentage change in the measured parame-
ters (slope or amplitude), relative to control values. The im-
plicit time of the b-wave, in particular, can provide a measure
of photoreceptor sensitivity, whereas possible contamination Digital filtering and analysis of ERG components Application of two orders of low-
pass filter did not distort the waveform keeping the a-wave and b-wave
intact. Application of the high-pass filter eliminated the a-wave and b-
wave isolating the oscillatory potentials for further analysis. Arrows
represent onset of flash stimulus (10 ms) Purinergic Signalling of the a-wave by the onset of the b-wave must also be consid-
ered during analysis of the kinetics of these ERG components
[29]. The latencies were calculated from stimulus onset to the
peak amplitudes of the a-wave or b-wave, and values are
shown as mean ± SEM implicit time. medium.AsshowninFig.3,BzATPwasappliedtotheperfusate
for10min,andtheagonist-inducedmodulationoftheON-fEPSP
wascomparedacrossconcentrationsrangingfrom10to300μM. There was no significant effect on the ON-fEPSP with low mi-
cromolar concentrations of BzATP. However, a concentration-
relatedreductionintheON-fEPSPpeakamplitudewasmeasured
at higher micromolar concentrations. BzATP at 300 μM, the
highest concentration tested, elicited a significant reduction in
the ON-fEPSP to 78.1 ± 3 % of control (P < 0.05, n = 21)
(Fig. 3a, b). BzATP elicited its effect within approximately 2–
3 min of reaching the retina and was sustained throughout the
duration of application (Fig. 3b(ii)). This effect was partially re-
coverable on washout to 92.4 ± 2 % of control (P < 0.05). Oscillatory potentials were analysed in the frequency do-
main. These high-frequency wavelets are believed to reflect
inner retinal network function, particularly the activity of
amacrine and ganglion cells [30]. A secondary high-pass filter
(>60 Hz) was applied to isolate the oscillatory potentials from
the first filtered waveform, as shown in Fig. 2. The oscillatory
potentials exhibited a peak frequency of ∼90–110 Hz, which
is comparable to that of dark-adapted mouse ERGs in vivo
[31]. A fast Fourier transform was used to derive the power
spectrum of the oscillatory potentials, from stimulus onset to
the half-width of the b-wave recovery phase (∼240 ms). To
analyse drug effects, average spectra were generated 120 s
before, during and after drug application, and the mean
± SEM percentage change in peak power was compared with
control values. (
)
The effect of BzATP on the ON-fEPSP was assessed in the
presence of the selective, competitive P2X7R antagonists
A438079, A804598 or AF27139. Compared to the more clas-
sically used P2X7R antagonists, A438079 and A804598 are
generally considered amongst the most potent suppressors of
mouse P2X7R function, of those commercially available [32,
33]. Analysis of RGC ON-fEPSPs RGC ON-fEPSP traces were also analysed offline using
Spike2 software (Cambridge Electronic Design, UK). Responses were visualised as 3-s ‘sweeps’ and were analysed
by measuring the average amplitude of the ON-fEPSPs over
60 s, throughout the time course of the experiment. The effect
of pharmacological agents on the ON responses was measured
by calculating the mean ± SEM percentage change in fEPSP
amplitude, compared with control values. Experiments were separate for each antagonist and
were carried out in PMSTN medium. The effect of each
antagonist on the BzATP-induced changes in the ON-
fEPSP was directly compared to the preceding applica-
tion of BzATP in the absence of the antagonist. A438079 (10 μM), A804598 (30 μM) and AF27139
(30 μM) all partially attenuated the BzATP-mediated
reduction of the ON-fEPSP to 68.7 ± 2 %, 55.1 ± 11 %
and 75.2 ± 7 % of control, when compared to the max-
imum effect of BzATP (P < 0.05 for all) (Fig. 3c). Digital filtering and analysis of ERG components AF27139 (Lundbeck, DK) is not yet commercially avail-
able, and A804598 has not been widely tested, but both have
shown to potently block P2X7R-mediated cytokine release in
cell culture preparations across species [33]. The less novel
A438079 was chosen for this study as it has demonstrated
potent suppression of P2X7R function in models of chronic
pain, microglial neuroinflammation and neurodegenerative
disorders in the spinal cord and brain [34–38]. The use of
A438079 in ex vivo retinal whole mount preparations has
not previously been reported, although the compound has
proven potent in suppressing swelling-induced damage to iso-
lated retinal ganglion cells [9]. Statistical analysis Data were imported from Spike2 to Excel (Microsoft, USA)
for analysis and generating graphs. Statistical testing was car-
ried out using GraphPad Prism (v.6 for Windows, CA, USA). For comparisons between baseline and drug effect on the re-
sponses, statistical significance was established using the
Wilcoxon matched pairs test. Comparisons between treatment
groups were carried out using the Mann-Whitney test. For all
tests, statistical significance was observed if P < 0.05. To explore whether the release of endogenous ATP acting on
P2X7Rs during visual stimulation affects ON-centre retinal gan-
glion cell activity, the effects of A438079, A804598 and
AF27139, when applied alone, were investigated (Fig. 3d). The ON-fEPSP was reduced in the presence of A804598 to
85.0 ± 15 % of control (P < 0.05, n = 7) but was not significantly
affected by A438079 or AF27139 at the concentrations tested. Results Suppression of the retinal ganglion cell ON-fEPSP
by BzATP and reduction of the effect by the selective
and competitive P2X7 receptor antagonists A438079,
A804598 and AF27139 Adenosine potentiates the retinal ganglion cell ON-fEPSP ns not significant; *P < 0.05, compared to control % Control ON fEPSP amplitude
50
60
70
80
90
100
110
*
*
ns
*
-30
-20
-10
0
10
-10
0
10
20
30
Time (min)
% Change ON fEPSP amplitude
*
A
B
b
c
a % Control ON fEPSP amplitude
50
60
70
80
90
100
110
*
*
ns
*
A -30
-20
-10
0
10
-10
0
10
20
30
Time (min)
% Change ON fEPSP amplitude
*
B
b
c
a B A 0
20
40
60
80
100
Control
A438079
(10 μM)
A804598
(30 μM)
AF27139
(30 μM)
% BzATP-evoked effect
*
*
*
+ BzATP (300 μM)
C D % Control ON fEPSP amplitude
0
20
40
60
80
100
Control A438079
(10 μM)
A804598
(30 μM)
AF27139
(30 μM)
*
ns
ns
D D C + BzATP (300 μM) Fig. 3 The effect of BzATP on the light-evoked ON-fEPSP. Responses
are pharmacologically isolated, NMDAR-mediated. BzATP was applied
(10 min) at concentrations of 10 (n = 2), 30 (n = 6), 100 (n = 6) and
300 μM (n = 21). Values are mean ± SEM percentage of pre-treatment
control fEPSP peak amplitude. a BzATP elicited a concentration-related
reduction of the ON-fEPSP. Washout of BzATP (300 μM) induced
recovery of the ON-fEPSP. b Time course plot shows the effect of
BzATP (300 μM) on the ON-fEPSP. Plotted values are mean ± SEM
percentage change in fEPSP peak amplitude, relative to pre-treatment
control. Representative traces (120 s averages) illustrate the effect of
BzATP (300 μM) on the ON-fEPSP. a Control, b BzATP (300 μM), c
wash. Scale bars = 400 ms, 20 μV. c Actions of selective P2X7R antagonists on the BzATP-induced suppression of the ON-fEPSP. The
selective P2X7R antagonists, A438079 (n = 6), A804598 (n = 7) or
AF27139 (n = 6), significantly attenuated the BzATP (300 μM)-
mediated reduction of the ON-fEPSP. All three compounds exhibited
similar potency in blocking P2X7R function at the concentrations
tested. Note that in the presence of all antagonists, a large residual
effect on the ON-fEPSP persisted with BzATP application. d Direct
actions of selective P2X7R antagonists on the NMDAR-mediated ON-
fEPSP. The ON-fEPSP was significantly reduced in the presence of
A804598 (n = 7) but not by A438079 (n = 6) or AF27139 (n = 6) at the
concentrations tested. Adenosine potentiates the retinal ganglion cell ON-fEPSP ns not significant; *P < 0.05, compared to control adenosine on the ON-fEPSP are due to the activation of
different purinergic receptors. suggested that the actions of BzATP in the hippocampus
are due to the effect of its breakdown product Bz-
adenosine through the subsequent activation of A1 re-
ceptors [39]. Adenosine receptors are known to be
expressed in the retina. Therefore, it was investigated
whether the effect of BzATP on the RGC fEPSPs was
mediated by the activation of adenosine receptors. Adenosine potentiates the retinal ganglion cell ON-fEPSP TheeffectofP2X7RactivationonsynapticresponsesofRGCwas
investigated. All experiments were carried out in PMSTN Extracellular ATP is rapidly degraded into its constituent
adenosine by ectonucleotidases. It has previously been Purinergic Signalling % Control ON fEPSP amplitude
50
60
70
80
90
100
110
*
*
ns
*
0
20
40
60
80
100
Control
A438079
(10 μM)
A804598
(30 μM)
AF27139
(30 μM)
% BzATP-evoked effect
*
*
*
+ BzATP (300 μM)
-30
-20
-10
0
10
-10
0
10
20
30
Time (min)
% Change ON fEPSP amplitude
*
A
B
C
b
c
a
% Control ON fEPSP amplitude
0
20
40
60
80
100
Control A438079
(10 μM)
A804598
(30 μM)
AF27139
(30 μM)
*
ns
ns
D
Fig. 3 The effect of BzATP on the light-evoked ON-fEPSP. Responses
are pharmacologically isolated, NMDAR-mediated. BzATP was applied
(10 min) at concentrations of 10 (n = 2), 30 (n = 6), 100 (n = 6) and
300 μM (n = 21). Values are mean ± SEM percentage of pre-treatment
control fEPSP peak amplitude. a BzATP elicited a concentration-related
reduction of the ON-fEPSP. Washout of BzATP (300 μM) induced
recovery of the ON-fEPSP. b Time course plot shows the effect of
BzATP (300 μM) on the ON-fEPSP. Plotted values are mean ± SEM
percentage change in fEPSP peak amplitude, relative to pre-treatment
control. Representative traces (120 s averages) illustrate the effect of
BzATP (300 μM) on the ON-fEPSP. a Control, b BzATP (300 μM), c
wash. Scale bars = 400 ms, 20 μV. c Actions of selective P2X7R
antagonists on the BzATP-induced suppression of the ON-fEPSP. The
selective P2X7R antagonists, A438079 (n = 6), A804598 (n = 7) or
AF27139 (n = 6), significantly attenuated the BzATP (300 μM)-
mediated reduction of the ON-fEPSP. All three compounds exhibited
similar potency in blocking P2X7R function at the concentrations
tested. Note that in the presence of all antagonists, a large residual
effect on the ON-fEPSP persisted with BzATP application. d Direct
actions of selective P2X7R antagonists on the NMDAR-mediated ON-
fEPSP. The ON-fEPSP was significantly reduced in the presence of
A804598 (n = 7) but not by A438079 (n = 6) or AF27139 (n = 6) at the
concentrations tested. P2X7R activation modulates rod photoreceptor-ON
bipolar cell synaptic transmission b Time
course plot shows the effect of adenosine (300 μM; green) and vehicle
(yellow) on the ON-fEPSP. Plotted values are mean ± SEM percentage
change in fEPSP peak amplitude relative to pre-treatment control. c
Representative traces (120 s averages) illustrate the effect of adenosine
(300 μM) on the ON-fEPSPs -20
-10
0
10
20
-5
0
5
10
15
20
25
Time (min)
% Change ON fEPSP amplitude
B
ADO 300 μM,
12 min
Wash
ON-fEPSP. ns not significant; *P < 0.05, compared to control. b Time
course plot shows the effect of adenosine (300 μM; green) and vehicle
(yellow) on the ON-fEPSP. Plotted values are mean ± SEM percentage
change in fEPSP peak amplitude relative to pre-treatment control. c
Representative traces (120 s averages) illustrate the effect of adenosine
(300 μM) on the ON-fEPSPs -20
-10
0
10
20
-5
0
5
10
15
20
25
Time (min)
% Change ON fEPSP amplitude
B 50
60
70
80
90
100
110
*
ns
*
ns
A
% Control ON fEPSP amplitude B A Time (min) Time (min) ADO 300 μM,
12 min C
Control
20 μV
400 ms
ADO 300 μM,
5 min C ADO 300 μM,
12 min Control Wash Fig. 4 The effect of adenosine on the NMDAR-mediated RGC ON-
fEPSP. Adenosine (ADO) was applied (10 min) at concentrations of
100 and 300 μM. n = 8 for both concentrations tested. a Values are
mean ± SEM percentage of pre-treatment control fEPSP peak
amplitude, taken ∼5–7 min after the start of adenosine application. The
ON-fEPSP was reversibly and significantly potentiated by adenosine, in a
concentration-related manner. Vehicle application elicited no effect on the ON-fEPSP. ns not significant; *P < 0.05, compared to control. b Time
course plot shows the effect of adenosine (300 μM; green) and vehicle
(yellow) on the ON-fEPSP. Plotted values are mean ± SEM percentage
change in fEPSP peak amplitude relative to pre-treatment control. c
Representative traces (120 s averages) illustrate the effect of adenosine
(300 μM) on the ON-fEPSPs A concomitant reduction of the ERG b-wave ampli-
tude to 80.6 ± 4 % of control (P < 0.05, n = 13) was also
measured in the presence of BzATP (Fig. 5a(ii)). The
changes in the b-wave within 1–2 min of application
appeared to reach maximum reduction in amplitude im-
mediately prior to washout. P2X7R activation modulates rod photoreceptor-ON
bipolar cell synaptic transmission Considering the direct out-
put of the photoreceptors onto the ON bipolar cells
along the vertical pathway, it would be expected that a
potentiation in the a-wave slope would lead to a subse-
quent increase in the b-wave amplitude. However, this
does not seem to be the case here, and is consistent
with the in vivo findings of the effect of BzATP on
the rat ERG [13]. The b-wave amplitude recovered to
baseline within approximately 10 min following wash-
out of BzATP (97.3 ± 3 % of control, P > 0.05). BzATP
application also induced a potentiation in the implicit
time of the b-wave (Fig. 5a(ii)). The differing effect of
BzATP on the kinetics of the a-wave and b-wave, as
has been previously demonstrated in vivo [13], suggests
that there are independent photoreceptor and post-
photoreceptor sites of action stimulated by the P2X7R
agonist. response components, the P2X7R agonist was applied in nor-
mal physiological medium that did not contain magnesium
ions. Under these conditions, BzATP induced a reduction in
the a-wave slope to 90.7 ± 3 % of control (P < 0.05, n = 6),
which was typically recoverable 5 min post-wash to 97.2
± 3 % of control (P > 0.05) (Fig. 5b(i)). Furthermore, BzATP
increased the implicit time of the a-wave maximum amplitude
(Fig. 5b(i)). The BzATP-mediated reduction in the a-wave
slope was contrary to that seen in the presence of extracellular
magnesium, suggesting that the effect of P2X7R activation is
reversed under these conditions. In the absence of extracellular magnesium, BzATP sig-
nificantly reduced the b-wave amplitude to 89.5 ± 1 % of
control (P < 0.05, n = 6) (Fig. 5b(ii)). The temporal profile
of the b-wave amplitude was comparable to that of the a-
wave slope during the early phase of BzATP application,
where an exponential reduction in both components was
apparent. However, the differing recovery periods of the a-
and b-waves strongly support the notion that BzATP elic-
ited independent effects on photoreceptor and post-
photoreceptor components. Additionally, BzATP did not
elicit a significant effect on the implicit time of the b-wave
maximum amplitude (Fig. 5b(ii)). The suppressive effect
of BzATP on the b-wave amplitude in the presence and
absence of extracellular magnesium was similar in magni-
tude. P2X7R activation modulates rod photoreceptor-ON
bipolar cell synaptic transmission The effect of P2X7R activation on synaptic transmission at rod
photoreceptor-ON bipolar cell synapses was investigated un-
der three different conditions. Dark-adapted retinal whole
mounts were used to record visually evoked ERG responses. In physiological Krebs medium, a 10-min application of
BzATP induced a marked potentiation of the a-wave slope to
149.0 ± 14 % of control (P < 0.05, n = 13) (Fig. 5a(i)). The
BzATP-mediated changes in the a-wave were relatively rapid
in onset, reaching a sustained maximum effect within approx-
imately 5–6 min after the start of drug application. Following
washout of BzATP, the a-wave slope recovered to 108.2 ± 3 %
of control (P > 0.05). BzATP also significantly increased the
implicit time of the a-wave maximum amplitude compared to
pre-treatment control (P < 0.05) (Fig. 5a(i)). The ON-fEPSP was significantly potentiated by aden-
osine, exhibiting a dose-related effect. For the highest
concentration tested (300 μM), maximum potentiation
was achieved within 3–5 min of adenosine exposure,
to 109.5 ± 2 % of control (P < 0.05, n = 8) (Fig. 4). The
effect on the ON-fEPSP peak amplitude was not
sustained but decayed prior to washout. A transient re-
duction in the ON-fEPSP was also observed before re-
covering fully, to 99.8 ± 2 % of control approximately
10 min later (P > 0.05), which is illustrated by the rep-
resentative traces (Fig. 4c). Vehicle application had no
significant effect on the ON-fEPSP (Fig. 4). These re-
sults suggest that the differential effects of BzATP and Purinergic Signalling 50
60
70
80
90
100
110
*
ns
*
ns
-20
-10
0
10
20
-5
0
5
10
15
20
25
Time (min)
% Change ON fEPSP amplitude
A
B
C
Control
20 μV
400 ms
% Control ON fEPSP amplitude
ADO 300 μM,
5 min
ADO 300 μM,
12 min
Wash
Fig. 4 The effect of adenosine on the NMDAR-mediated RGC ON-
fEPSP. Adenosine (ADO) was applied (10 min) at concentrations of
100 and 300 μM. n = 8 for both concentrations tested. a Values are
mean ± SEM percentage of pre-treatment control fEPSP peak
amplitude, taken ∼5–7 min after the start of adenosine application. The
ON-fEPSP was reversibly and significantly potentiated by adenosine, in a
concentration-related manner. Vehicle application elicited no effect on the
ON-fEPSP. ns not significant; *P < 0.05, compared to control. P2X7R activation modulates rod photoreceptor-ON
bipolar cell synaptic transmission The differences in the changes to the b-wave The effect of BzATP-mediated activation of P2X7Rs is
considerably enhanced in the absence of extracellular divalent
cations, particularly magnesium ions (Mg2+) [16, 40]. To fur-
ther characterise the BzATP-mediated effect on the ERG Purinergic Signalling % Change b-wave amplitude
A Physiological Krebs’
B Low Mg2+
C Low Mg2+ + PIC + STY
+ TTX + NBQX
Time (min)
% Change a-wave slope
-60
-40
-20
0
20
-5
0
5
10
15
20
25
I. T. (ms)
Control 74.4 ± 2
BzATP 80.6 ± 3 ns
Wash 77.6 ± 3 ns
*
-60
-40
-20
0
20
-5
0
5
10
15
20
25
I. T. (ms)
Control 95.4 ± 3
BzATP 101.8 ± 2 *
Wash 101.2 ± 2 *
*
-60
-40
-20
0
20
40
60
80
-5
0
5
10
15
20
25
I. T. (ms):
Control 39.8 ± 2
BzATP 43.9 ± 2 *
Wash 41.0 ± 2 *
*
-80
-60
-40
-20
0
20
40
-5
0
5
10
15
20
25
I. T. (ms)
Control 29.7 ± 2
BzATP 32.5 ± 2 *
Wash 31.0 ± 2 *
*
-80
-60
-40
-20
0
20
40
-5
0
5
10
15
20
25
I. T. (ms)
Control 61.1 ± 7
BzATP 68.5 ± 7 *
Wash 60.8 ± 7 ns
*
-60
-40
-20
0
20
-5
0
5
10
15
20
25
I. T. (ms)
Control 104.9 ± 3
BzATP 109.8 ± 3 *
Wash 108.3 ± 3 *
*
i
ii
iii
i
ii
iii
i
ii
iii
Control BzATP
Wash
Control BzATP
Wash
Control
BzATP
Wash
g. 5 The effect of BzATP on the dark-adapted ERG when recorded
(n = 6), BzATP reduced the a-wave slope (i) and also caused a reduc A Physiological Krebs’
B Low Mg2+
C Low Mg2+ + PIC + STY
+ TTX + NBQX
% Change a-wave slope
-60
-40
-20
0
20
40
60
80
-5
0
5
10
15
20
25
I. T. (ms):
Control 39.8 ± 2
BzATP 43.9 ± 2 *
Wash 41.0 ± 2 *
*
-80
-60
-40
-20
0
20
40
-5
0
5
10
15
20
25
I. T. P2X7R activation modulates rod photoreceptor-ON
bipolar cell synaptic transmission (ms)
Control 29.7 ± 2
BzATP 32.5 ± 2 *
Wash 31.0 ± 2 *
*
-80
-60
-40
-20
0
20
40
-5
0
5
10
15
20
25
I. T. (ms)
Control 61.1 ± 7
BzATP 68.5 ± 7 *
Wash 60.8 ± 7 ns
*
i
i
i % Change b-wave amplitude
Time (min)
-60
-40
-20
0
20
-5
0
5
10
15
20
25
I. T. (ms)
Control 74.4 ± 2
BzATP 80.6 ± 3 ns
Wash 77.6 ± 3 ns
*
-60
-40
-20
0
20
-5
0
5
10
15
20
25
I. T. (ms)
Control 95.4 ± 3
BzATP 101.8 ± 2 *
Wash 101.2 ± 2 *
*
-60
-40
-20
0
20
-5
0
5
10
15
20
25
I. T. (ms)
Control 104.9 ± 3
BzATP 109.8 ± 3 *
Wash 108.3 ± 3 *
*
ii
ii
ii 5
-60
-40
-20
0
20
-5
0
5
10
15
20
25
I. T. (ms)
Control 104.9 ± 3
BzATP 109.8 ± 3 *
Wash 108.3 ± 3 *
*
ii iii
iii
Control BzATP
Wash
Control BzATP
Wash iii
iii
Control BzATP
Wash
Control BzATP
Wash iii
Control BzATP
Wash iii
Control
BzATP
Wash iii
Control
BzATP
Wash Control BzATP
Wash Control
BzATP
Wash Control BzATP
Wash Fig. 5 The effect of BzATP on the dark-adapted ERG when recorded
under different conditions. Time course plots show the effect of BzATP
(300 μM; 10 min) on the a-wave slope and b-wave amplitude (bars). Values are mean ± SEM percentage change and insets show mean
± SEM implicit time values. For all, ns not significant; *P < 0.05,
compared to pre-treatment control. a In physiological Krebs medium
(n = 13), BzATP induced a sustained potentiation of the a-wave slope
(i), which reached maximal effect within approximately 5 min of
application. BzATP concomitantly reduced the b-wave amplitude (ii)
over the course of application, an effect which was recoverable
following washout. b In the absence of extracellular magnesium ions (n = 6), BzATP reduced the a-wave slope (i) and also caused a reduction
in the b-wave amplitude (ii) over the course of application, an effect
which was not fully recoverable following washout. c In the absence of
extracellular magnesium ions, and in the presence of NBQX, picrotoxin,
strychnine and TTX (n = 7), BzATP reduced the a-wave slope (i). P2X7R activation modulates rod photoreceptor-ON
bipolar cell synaptic transmission a In
physiological Krebs medium (n = 6), the BzATP-mediated effects on the
a-wave slope (i) and b-wave amplitude (ii) were markedly reduced in the
presence of A438079 (10 μM) compared to control. b In the absence of
extracellular magnesium ions, and in the presence of NBQX, picrotoxin,
strychnine and TTX (n = 7), A438079 almost completely suppressed the
BzATP-mediated potentiation of the ERG a-wave compared to control. b
A438079-induced attenuation of the BzATP-mediated reduction in the b-
wave was also observed. *P < 0.05, compared to pre-treatment control 0
20
40
60
80
100
Control
A438079 +
BzATP
*
% BzATP-evoked effect
on a wave
0
20
40
60
80
100
Control
A438079 +
BzATP
% BzATP-evoked effect
on a-wave
*
i
i
A
Physiological Krebs’
B
Low Mg2++PIC+STY+TTX+NBQX 0
20
40
60
80
100
Control
A438079 +
BzATP
*
% BzATP-evoked effect
on a wave
i
B
Low Mg2++PIC+STY+TTX+NBQX 0
20
40
60
80
100
Control
A438079 +
BzATP
% BzATP-evoked effect
on a-wave
*
i
A
Physiological Krebs’ B 0
20
40
60
80
100
Control
A438079 +
BzATP
*
on a wave
0
20
40
60
80
100
Control
A438079 +
BzATP
*
on b-wave
i
B
Low Mg2++PIC+STY+TTX+NBQX
ii
extracellular magnesium ions, and in the presence of NBQX, picrotoxin,
strychnine and TTX (n = 7), A438079 almost completely suppressed the
BzATP-mediated potentiation of the ERG a-wave compared to control. b
A438079-induced attenuation of the BzATP-mediated reduction in the b-
wave was also observed. *P < 0.05, compared to pre-treatment control A 0
20
40
60
80
100
Control
A438079 +
BzATP
% BzATP-evoked effect
on b-wave
*
ii 0
20
40
60
80
100
Control
A438079 +
BzATP
*
% BzATP-evoked effect
on b-wave
ii ii extracellular magnesium ions, and in the presence of NBQX, picrotoxin,
strychnine and TTX (n = 7), A438079 almost completely suppressed the
BzATP-mediated potentiation of the ERG a-wave compared to control. b
A438079-induced attenuation of the BzATP-mediated reduction in the b-
wave was also observed. *P < 0.05, compared to pre-treatment control Fig. 6 Actions of the selective P2X7R antagonist A438079 on the
BzATP-mediated effects on the ERG components. Values are mean
± SEM percentage of control (max. BzATP effect, i.e. 100 %). P2X7R activation modulates rod photoreceptor-ON
bipolar cell synaptic transmission The b-
wave amplitude was markedly suppressed (ii) and was not fully
recoverable following washout. Note the relatively similar effect of
BzATP on the b-wave, compared to that shown in b(ii). Representative
traces (a(iii), b(iii), c(iii)) illustrate the effect of BzATP on the ERG under
the respective conditions. Scale bars = 100 ms, 20 μV amplitude during the post-wash phase under both condi-
tions imply that magnesium was required for full recovery
following BzATP application. was also significantly delayed in the presence of BzATP, re-
covering on washout (Fig. 5c(i)). Furthermore, there was a
significant difference in the BzATP-mediated effect on the a-
wave slope compared to that observed in the low magnesium
solution (P < 0.05). In separate experiments, the effects of BzATP on the ERG
a-wave and b-wave components were investigated in the pres-
ence of the antagonists NBQX, picrotoxin, strychnine and
tetrodotoxin and the absence of magnesium ions (PMSTN
medium). As shown in Fig. 5c(i), there was a significant re-
duction in the a-wave slope to 70.1 ± 8 % of pre-treatment
control after 5 min (P < 0.05, n = 7), with partial recovery fol-
lowing washout (76.3 ± 9 % of control, P < 0.05). The a-wave The effect of BzATP on the b-wave amplitude, in the
PMSTN bathing medium, followed a similar temporal profile
to that of the a-wave slope, with a significant reduction to 66.6
± 10 % of control (P < 0.05, n = 7) (Fig. 5c(ii)) with little re-
covery following washout of BzATP. The b-wave implicit
time was also significantly increased with BzATP Purinergic Signalling 0
20
40
60
80
100
Control
A438079 +
BzATP
*
% BzATP-evoked effect
on a wave
0
20
40
60
80
100
Control
A438079 +
BzATP
% BzATP-evoked effect
on a-wave
*
0
20
40
60
80
100
Control
A438079 +
BzATP
% BzATP-evoked effect
on b-wave
*
0
20
40
60
80
100
Control
A438079 +
BzATP
*
% BzATP-evoked effect
on b-wave
i
i
A
Physiological Krebs’
B
Low Mg2++PIC+STY+TTX+NBQX
ii
ii
Fig. 6 Actions of the selective P2X7R antagonist A438079 on the
BzATP-mediated effects on the ERG components. Values are mean
± SEM percentage of control (max. BzATP effect, i.e. 100 %). P2X7R activation modulates rod photoreceptor-ON
bipolar cell synaptic transmission a In
physiological Krebs medium (n = 6), the BzATP-mediated effects on the
a-wave slope (i) and b-wave amplitude (ii) were markedly reduced in the
presence of A438079 (10 μM) compared to control. b In the absence of (Fig. 5c(ii)). Under these conditions, BzATP induced effects
on the b-wave amplitude (P > 0.05) which were comparable to
those seen in the absence of magnesium alone. effect; P < 0.05) (Fig. 6b(ii)). Thus, the A438079-mediated
attenuation in the effect of BzATP on these components of
the ERG confirms the involvement of P2X7R activation. The effect of direct application of the P2X7 receptor
antagonist A438079 on the dark-adapted
electroretinogram a-wave and b-wave components In order to further delineate P2X7R involvement, the effect of
BzATP on the ERG components was assessed in the presence
of the selective, competitive P2X7R antagonist, A438079
(10 μM). The effect of A438079 on the BzATP-induced
changes in the a- and b-waves was directly compared to the
preceding application of BzATP in the same experiment. When tested in physiological Krebs medium, A438079 sig-
nificantly reduced the potentiating effect of BzATP on the a-
wave slope to 57.3 ± 18 % of the effect of BzATP when ap-
plied alone (P < 0.05, n = 6) (Fig. 6a(i)). Similarly, the BzATP-
mediated suppression of the b-wave was markedly reduced in
the presence of the antagonist to 41.0 ± 30 % of control
(P < 0.05, n = 6) (Fig. 6a(ii)). Next, the effect of the P2X7R
antagonist on the action of BzATP was tested in PMSTN
medium. As shown in Fig. 7b(i), A438079 abolished the
BzATP-mediated reduction of the a-wave slope to 4 ± 16 %
of the effect of BzATP when applied alone (P < 0.05, n = 7). Furthermore, A438079 reduced the effect of BzATP on the b-
wave amplitude to 58.3 ± 16 % of control (maximum BzATP To explore whether the release of endogenous ATP act-
ing on P2X7Rs during visual stimulation affects outer
retinal processing, the effect of A438079 on the ERG
when applied alone was investigated. In physiological
Krebs medium, A438079 (10 μM) alone did not induce
an effect on the a-wave (108.9 ± 10 % of control,
P > 0.05, n = 9) (Fig. 7a(i)). Similarly, the b-wave also
remained unaffected by the application of the antagonist
(93.3 ± 22 %, P > 0.05, n = 9) (Fig. 7a(ii)). Conversely, in
the pharmacologically modified perfusion medium, the
a-wave slope was significantly potentiated in the pres-
ence of A438079 (10 μM) alone, to 125.7 ± 12 % of
pre-treatment control (P < 0.05, n = 10). A438079 also
markedly reduced the b-wave amplitude to 79.1 ± 15 %
of control (P < 0.05, n = 10). The implicit times for both
a- and b-waves were increased in the presence of the
antagonist. These results suggest that P2X7R activation
may modulate retinal function under baseline conditions Purinergic Signalling but that this depends on the particular ionic conditions
of the microenvironment. The effect of direct application of the P2X7 receptor
antagonist A438079 on the dark-adapted
electroretinogram a-wave and b-wave components Discussion
P2X7Rs modulate the ON pathway in the outer and inner
ti
0
20
40
60
80
100
120
Control
A438079
0
20
40
60
80
100
Control
A438079
*
0
20
40
60
80
100
120
140
Control
A438079
*
% Control a-wave slope
% Control b-wave amplitude
% Control a-wave slope
0
20
40
60
80
100
120
Control
A438079
% Control b-wave amplitude
ns
ns
i
i
A
Physiological Krebs’
B
Low Mg2++PIC+STY+TTX+NBQX
ii
ii
Fig. 7 The direct effect of the
selective P2X7R antagonist
A438079 on ERG components
under different physiological
conditions. Values are mean
± SEM percentage of pre-
treatment control; n = 10. A438079 (10 μM) was
superfused for 20–30 min until
the response was stable. a In
physiological Krebs medium,
application of A438079 alone had
no overall effect on the a-wave (i)
or b-wave (ii). b In separate
experiments using the
pharmacologically modified
Krebs medium, A438079 induced
a marked potentiation in the a-
wave (i) compared to control
(P < 0.05). The b-wave (ii) was
significantly reduced in the
presence of A438079 (P < 0.05) 0
20
40
60
80
100
120
Control
A438079
% Control a-wave slope
ns
i
A
Physiological Krebs’ 0
20
40
60
80
100
120
140
Control
A438079
*
% Control a-wave slope
i
B
Low Mg2++PIC+STY+TTX+NBQX B A 0
20
40
60
80
100
120
Control
A438079
% Control b-wave amplitude
ns
ii 0
20
40
60
80
100
Control
A438079
*
% Control b-wave amplitude
ii ii but that this depends on the particular ionic conditions
of the microenvironment. P2X7Rs modulate the ON pathway in the outer and inner
retina ERG oscillatory potentials are suppressed by P2X7R
activation The present study has demonstrated that neuronal function in
both the outer and inner retina of the mouse under dark-
adapted conditions is considerably altered by P2X7R activa-
tion. An overview of the key findings are summarised in
Table 1. Furthermore, P2X7R modulation of visual responses
appears to occur through independent mechanisms, at differ-
ent levels of the rod pathway. These findings are not unex-
pected as P2X7Rs are expressed on photoreceptors; horizon-
tal, amacrine and retinal ganglion cells; and on non-neuronal
cells including microglia, retinal pigment epithelial cells and
vascular endothelial cells within the retina. As of yet, P2X7Rs
have not been localised to bipolar cells. The effect of P2X7R activation on the ERG oscillatory poten-
tials was also explored, using physiological Krebs medium. The high-frequency oscillatory potentials were digitally ex-
tracted from the raw ERG waveform (see Fig. 2). Changes
in the peak power output of the oscillatory potentials were
assessed with their frequency spectra before, during and after
application of the pharmacological compound. As seen with
the a-wave and b-wave components recorded in physiological
Krebs medium, A438079 alone had no significant effect on
the peak power of the oscillatory potentials (124.6 ± 25 % of
control, P > 0.05, n = 6). Modulation of outer retinal function BzATP significantly reduced the peak power to 58.8 ± 8 %
of control (P < 0.05, n = 13) (Fig. 8a, b). Following washout of
BzATP, the peak power of the oscillatory potentials recovered
to 97.9 ± 10 % of control (P > 0.05). Next, the effect of
A438079 was tested on the BzATP-induced suppression of
the oscillatory potentials. A438079 significantly reduced the
effect of BzATP on the oscillatory potential peak power to
68.2 ± 8 % of control (P < 0.05, n = 6) (Fig. 8c). These results
suggest that BzATP considerably suppressed the activity of
inner retinal networks, and further imply that P2X7R modula-
tion in the inner retina is at least partially independent of that
in the outer retina. P2X7R-mediated alterations to synaptic transmission from rod
photoreceptors to rod-ON bipolar cells were assessed using
the dark-adapted ERG. Under physiological conditions,
P2X7R activation by its agonist, BzATP, potentiated the a-
wave, with a concomitant reduction in the b-wave. This find-
ing is consistent with previous work in the rat in vivo [13]. BzATP also delayed the time to peak of the a-wave, which
could indicate a reduction in photosensitivity of the rods [41]. However, in the study by Puthussery et al. [13], computational
extraction of the sensitivity parameter of the a-wave leading Purinergic Signalling 0
20
40
60
80
100
120
Control
BzATP
Wash
*
ns
% Control peak power
A
% BzATP-evoked effect
0
20
40
60
80
100
Control
A438079 +
BzATP
*
C 0
50
100
150
200
250
300
0
1
2
3
Frequency (Hz)
Power (µV.sec)2
20 µV
100 ms
BzATP
Wash
Control
0
20
40
60
80
100
120
Control
BzATP
Wash
*
ns
% Control peak power
A
% BzATP-evoked effect
0
20
40
60
80
100
Control
A438079 +
BzATP
*
C
B
Fig. 8 The effect of BzATP on ERG oscillatory potentials. Experiments
were done in physiological Krebs medium. a Mean ± SEM percentage of
control peak power; n = 7. BzATP (300 μM; 10 min) caused a reversible
and significant reduction in the peak power output of the oscillatory
potentials compared to control (P < 0.05), indicating modulation of
inner retinal function. b(i) Representative oscillatory potentials, before,
during and post-BzATP application. Black, control; blue, BzATP; grey,
wash. Under control conditions, the oscillatory potentials exhibited a
peak frequency ∼107 Hz, typical of dark-adapted ERG responses. Modulation of outer retinal function In
the presence of BzATP, no overall shift in frequency was detected. b(ii)
Power Spectra (120 s) illustrate the BzATP-mediated suppression of the
oscillatory potentials and recovery on washout. Black control; blue,
BzATP; grey, wash. c A438079 (10 μM) significantly reduced the
BzATP-evoked suppression of the oscillatory potentials compared to
control. *P < 0.05, compared to pre-treatment control 0
50
100
150
200
250
300
0
1
2
3
Frequency (Hz)
Power (µV.sec)2
20 µV
100 ms
BzATP
Wash
Control
B B B A Frequency (Hz) fect of BzATP on ERG oscillatory potentials. Experiments Fig. 8 The effect of BzATP on ERG oscillatory potentials. Experiments
were done in physiological Krebs medium. a Mean ± SEM percentage of
control peak power; n = 7. BzATP (300 μM; 10 min) caused a reversible
and significant reduction in the peak power output of the oscillatory
potentials compared to control (P < 0.05), indicating modulation of
inner retinal function. b(i) Representative oscillatory potentials, before,
during and post-BzATP application. Black, control; blue, BzATP; grey,
wash. Under control conditions, the oscillatory potentials exhibited a peak frequency ∼107 Hz, typical of dark-adapted ERG responses. In
the presence of BzATP, no overall shift in frequency was detected. b(ii)
Power Spectra (120 s) illustrate the BzATP-mediated suppression of the
oscillatory potentials and recovery on washout. Black control; blue,
BzATP; grey, wash. c A438079 (10 μM) significantly reduced the
BzATP-evoked suppression of the oscillatory potentials compared to
control. *P < 0.05, compared to pre-treatment control edge indicated no change in photoreceptor sensitivity as a
result of P2X7R activation. Thus, the change in implicit time
of the a-wave in this investigation could instead be attributed
to a possible contamination of the BzATP-induced effect on
the b-wave. terminal induced by P2X7R activation would subsequently
potentiate the a-wave during photostimulation, due to a great-
er change in the photoreceptor dark current, as has been sug-
gested previously [13]. Concurrently, facilitation of the pho-
toreceptor dark current would increase the rate of glutamate
release in the dark, thus eliciting a smaller light-induced
depolarisation of the ON BCs. Stable calcium influx through
L-type channels is imperative for the sustained release of glu-
tamate from rod terminals in darkness [42]. A P2X7R- The opposing effects of BzATP on the photoreceptor and
bipolar cell response components could be explained by a
mechanism associated with a change in the dark current of
the photoreceptors. Modulation of outer retinal function Depolarisation of the photoreceptor Table 1
Summary of the effect of BzATP on the RGC ON-fEPSP and
ERG components in the absence and presence of P2X7R antagonists
under the physiological conditions tested. All values are expressed as mean ± SEM. See text for n and P values. The effect of BzATP alone is
compared to pre-treatment control. The effect of BzATP in the presence
of an antagonist is compared to the maximum BzATP-mediated effect Physiological Krebs
Modified Krebs (PMSTN)
Low Mg2+
RGC ON-fEPSP
–
BzATP: 78.1 ± 3 %
–
BzATP + antagonist (% of max. BzATP effect)
A438079: 68.7 ± 2 %
A804598: 55.1 ± 11 %
AF27139: 75.2 ± 7 %
ERG a-wave
BzATP: 149.0 ± 14 %
BzATP: 70.1 ± 8 %
BzATP: 90.7 ± 3 %
BzATP + A438079: 57.3 ± 18 %
BzATP + A438079: 4 ± 16 %
–
ERG b-wave
BzATP: 80.6 ± 4 %
BzATP: 66.6 ± 10 %
BzATP: 89.5 ± 1 %
BzATP + A438079: 41.0 ± 30 %
BzATP + A438079: 58.3 ± 16 %
–
ERG OPs
BzATP: 58.8 ± 8 %
–
–
BzATP + A438079: 68.2 ± 8 %
OPs oscillatory potentials Low Mg2+ Purinergic Signalling modulation of the ON bipolar cell response under both condi-
tions tested. The presence of a residual effect of BzATP even
with the addition of a selective P2X7R antagonist supports the
notion that a consistent or secondary stress-related release of
large amounts of endogenous ATP, possibly by non-neuronal
cells, could act to influence retinal synaptic signalling. dependent rise in intracellular calcium has previously shown
to directly stimulate vesicular glutamate release from hippo-
campal and cortical presynaptic terminals [20–22]. The pres-
ent findings suggest that P2X7R activation may modulate
ERG responses through a similar calcium-dependent mecha-
nism, although direct P2X7R modulation of ribbon synapses
has not yet been shown. To explore whether P2X7Rs have a physiological role in
outer retinal function upon visual stimulation, we investigated
the effects of A438079 alone on the ERG components. When
recorded in the physiological Krebs medium, blockade of
P2X7Rs had no overall effect on the a-wave or b-wave. This
contradicts previous findings whereby the b-wave was signif-
icantly potentiated in a P2X7R knockout model [7]. However,
both ERG components were markedly suppressed when the
antagonist was applied in the modified perfusion medium. Modulation of outer retinal function A
sensitised or stressed cellular microenvironment can initiate
acute changes to glutamate and ATP homeostasis and signal-
ling. Such deviations from the physiological norm may in-
crease the likelihood of ATP release in the outer retina, at a
sufficient concentration to activate P2X7Rs and subsequently
affect the processing of the visual signal. P2X7R activity is altered and most likely enhanced in the
absence of extracellular magnesium [16, 40]. In the present
study, removal of magnesium ions from the perfusate reversed
the effect of P2X7R activation on the a-wave, instead inducing
a marked reduction in the photoreceptor response. This sup-
ports the concept of a bi-directional function of P2X receptors
in modulating synaptic activity dependent upon the physio-
logical context, as has been consistently evident in central
synapses, particularly in the hippocampus [43]. Without ex-
tracellular magnesium, the b-wave was suppressed by BzATP,
to a similar magnitude, when compared to the effect in the
presence of the divalent cation. Contrary to the observed effect
in physiological perfusate, the BzATP-mediated suppression
of the b-wave was not reversible in the absence of magnesium. The differential temporal profiles of the effect of BzATP on
the a- and b-waves highlight independent sites of modulation
by P2X7Rs in both the inner and outer retina. These results strongly suggest a direct role for P2X7Rs in
photoreceptors in modulating outer retinal processing and are
supported by studies that have shown P2X7R immunoreactiv-
ity at ribbon synapses within the rod spherule, in the rodent
retina [7, 12, 13]. However, P2X7R modulation of photore-
ceptor function through alternative mechanisms cannot be
ruled out. The P2X7R expression profile in the healthy rabbit
[9] and human retina [36, 45] has shown no evidence of im-
munoreactivity in photoreceptors and may instead support the
concept that P2X7Rs may modulate photoreceptor function
through its expression in retinal pigment epithelial cells in
the absence of pathology. Indeed, RPE cells are sources of
ATP, which can be released in response to hyperosmotic stress
[46], through various mechanisms including ATP-triggered
secondary ATP release, CFTR-dependent ATP efflux as well
as vesicular ATP secretion, as demonstrated in human retinal
cells [47]. This autostimulatory ATP release may be driven
through P2X7R-associated panx-1 hemichannels, as shown
in the bovine retina [48]. Modulation of outer retinal function Furthermore, RPE cells have dem-
onstrated the presence of ectonucleotidases [46], which may
rapidly degrade ATP into its constituents, in order to activate
other P2 and adenosine receptors in cells of the outer retina,
and therefore influence synaptic signalling through alternative
mechanisms. In the present study, the suppressive effect of P2X7R acti-
vation on the photoreceptor response was enhanced in the
presence of blockers of GABAA/C, glycine and AMPA/KA
receptors and of voltage-gated sodium channels. It has previ-
ously been suggested that P2X7R-associated modulation of
the mouse ERG may be due to alterations in horizontal and
amacrine cell feedback [7]. However, the underlying mecha-
nism of modulation of the photoreceptor response may not be
associated with the release of inhibitory inputs to the rod ter-
minals under dark-adapted conditions [44]. Indeed, the study
by Vessey and Fletcher [7] found that the ERG a-wave was
unaltered, whereas the b-wave was markedly potentiated in a
P2X7R-knockout mouse model. In the present investigation,
there was no overall difference in the BzATP-induced reduc-
tion in the b-wave, between responses recorded in the absence
of magnesium alone, and with the addition of pharmacologi-
cal blockers of inhibitory neurotransmission. This indicates
that P2X7R-mediated modulation of the ON BCs is not due
to an effect on inhibitory feedback at the ON BC terminal in
the inner retina. Since BCs do not themselves express
P2X7Rs, these results could reflect a possible modulation of
both ERG components by non-neuronal cells during P2X7R
stimulation. Modulation of inner retinal function The involvement of P2X7R-mediated modulation of the a-
wave was confirmed with the selective antagonist A438079,
which markedly suppressed and abolished the effect of P2X7R
activation on the photoreceptor response, when tested in phys-
iological Krebs and the pharmacologically modified medium,
respectively. Similarly, A438079 partially blocked P2X7R The present study has demonstrated that P2X7R activation
distinctly influences the activity of inner retinal networks, as
shown by the changes observed in the ERG oscillatory poten-
tials. A clear effect of P2X7R activation on the ON pathway
was apparent, as BzATP suppressed the ON-fEPSP in a Purinergic Signalling concentration-related manner. The involvement of P2X7Rs in
modulating the ON-fEPSP was supported by the partially at-
tenuated effect of BzATP in the presence of the selective
P2X7R antagonists A438079, A804598 or AF27139. With
each antagonist, a residual effect of BzATP on the ON-
fEPSP remained, which could be explained by a lack of po-
tency of these compounds for blocking P2X7R-mediated ef-
fects in the inner retinal layers. monkey retina [52], although evidence of its expression and
function in the mouse is uncertain. In the rodent, P2X3Rs have
been detected in the inner plexiform layer [53]. On activation,
both P2X1Rs and P2X3Rs rapidly desensitise [1], and thus their
kinetic profiles do not correlate with the BzATP-mediated ef-
fects observed in the present study. Selective expression of
P2X2Rs in starburst amacrine cells within the OFF vertical path-
way has been demonstrated in the mouse retina [54, 55]. Although P2X2Rs display slowly desensitising properties simi-
lar to P2X7Rs, it is uncertain whether they would directly affect
neuronal responses within the ON pathway. As with the outer retina, the lack of potency of these com-
pounds in suppressing the BzATP-mediated reduction in ON-
centre RGC responses could be due to the stimulated release
of endogenous ATP within the inner retinal layers. ATP is
present in high concentrations within all metabolically active
cells and so all can function as sources of ATP, which may
then act to compete with the antagonist at the receptor. Alternatively, P2X7Rs are known to drive ATP release which
can then act cell-autonomously. Indeed, P2X7R-mediated,
non-vesicular release of ATP has been demonstrated in retinal
ganglion cells [9]. P2X7Rs are expressed on amacrine, gangli-
on and microglial cells in the inner mouse retina and are all
therefore potential sources of ATP-mediated ATP release. Modulation of inner retinal function Metabotropic P2Y receptors may also modulate visual re-
sponses in the retina as they have been suggested to play a role
in glial-neuronal cross-talk [48]. Indeed both functional and im-
munohistochemical expression of P2Y1Rs on Müller cells [11,
48, 56, 57] and P2Y4R on rod bipolar and amacrine cells [58]
have been demonstrated in the retina. Considering that ADP and
UTP are markedly more potent agonists at these receptors, re-
spectively [59], their direct contribution to the BzATP-mediated
effect on visual responses in the present study is unlikely. However, it is important to note that the remarkable diversity
of purinergic receptors in such an intimate retinal microenviron-
ment opens the possibility of their contribution to the overall
glial-neuronal cross-talk in the processing of visual information,
through the secondary release of endogenous purinergic ligands. In the absence of pathology or inflammation, the expression
of functional P2X7Rs has only been demonstrated in Müller
cells of the human retina but not in those of other mammalian
species [49]. However, it has been shown in the rat retina that
light-evoked ATP release from ganglion cells increases Müller
cell Ca2+ transients through activation of glial P2YRs. This in
turn mediates the release of glial ATP, which is rapidly hydro-
lysed into adenosine, in turn hyperpolarising ganglion cells
through the activation of A1 receptors [50]. It has been pro-
posed that the BzATP-mediated suppression of excitatory re-
sponses in the rodent hippocampus and brainstem was attribut-
ed to its breakdown product Bz-adenosine and subsequent ac-
tivation of adenosine receptors [39, 51]. Adenosine facilitated
the ON-fEPSP for a short period before the effect diminished,
leading to a temporary suppression of the ON-fEPSP before
recovery on washout. This may be due to a number of factors,
which include receptor desensitisation or clearance of adeno-
sine from the extracellular environment via nucleoside trans-
porters expressed in Müller cells. In the present study, the pos-
sible contribution of A1 receptors to the BzATP-mediated re-
duction of the ON-fEPSP was ruled out. Adenosine produced a
dose-related potentiation in the ON-fEPSP, an effect which
followed a differential temporal profile to that seen for the effect
of BzATP. This suggests that adenosine facilitates possibly
through A3 receptors, whereas P2X7Rs appear to reduce neu-
ronal activity within the ON pathway. Funding
This study was funded in part by Lundbeck Research. Funding
This study was funded in part by Lundbeck Research. 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 appro-
priate credit to the original author(s) and the source, provide a link to the
Creative Commons license, and indicate if changes were made. Modulation of inner retinal function The present findings are in accord with previous findings
[8, 10] on P2X7R function in the retina and extend these find-
ings to show that activation of these receptors can affect func-
tion at different sites in the retinal ON pathway. Thus, activa-
tion of these receptors under pathophysiological conditions by
high concentrations of ATP would likely affect function at all
stages of visual transmission in the retina. Compliance with ethical standards Conflict of interest
The authors declare that they have no conflict of
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(2008) Synaptic terminals from mice midbrain exhibit functional
P2X7 receptor. Neuroscience 151:361–373 40. Virginio C, Church D, North R, Surprenant A (1997) Effects of
divalent cations, protons and calmidazolium at the rat P2X7 recep-
tor. Neuropharm 36:1285–1294 21. Alloisio S, Cervetto C, Passalacqua M et al (2008) Functional ev-
idence for presynaptic P2X7 receptors in adult rat cerebrocortical
nerve terminals. FEBS Lett 582:3948–3953 41. Hood DC, Birch DG (1997) Assessing abnormal rod photoreceptor
activity with the a-wave of the electroretinogram: applications and
methods. Doc Ophthalmol 92:253–267 22. Sperlágh B, Köfalvi A, Deuchars J et al (2002) Involvement of
P2X7 receptors in the regulation of neurotransmitter release in the
rat hippocampus. J Neurochem 81:1196–1211 42. Okawa H, Sampath AP (2007) Optimization of single-photon re-
sponse transmission at the rod-to-rod bipolar synapse. Physiology
(Bethesda) 22:279–286 23. Deuchars S, Atkinson L, Brooke RE et al (2001) Neuronal P2X7
receptors are targeted to presynaptic terminals in the central and
peripheral nervous systems. J Neurosci 21:7143–7152 43. Pankratov Y, Lalo U, Krishtal OA, Verkhratsky A (2009) P2X
receptors and synaptic plasticity. Neuroscience 158:137–148 24. Robson JG, Maeda H, Saszik SM, Frishman LJ (2004) In vivo
studies of signaling in rod pathways of the mouse using the elec-
troretinogram. Vision Res 44:3253–3268 44. 3.
Franke H, Klimke K, Brinckmann U et al (2005) P2X(7) receptor-
mRNA and -protein in the mouse retina; changes during retinal
degeneration in BALBCrds mice. Neurochem Int 47:235–242 References Bloomfield S, Xin D (2000) Surround inhibition of mammalian AII
amacrine cells is generated in the proximal retina. J Physiol 523(Pt
3):771–783 Purinergic Signalling 45. Niyadurupola N, Sidaway P, Ma N et al (2013) P2X7 receptor
activation mediates retinal ganglion cell death in a human retina
model of ischemic neurodegeneration. Invest Ophthalmol Vis Sci
54:2163–2170 52. Yazulla S, Studholme KM (2004) Vanilloid receptor like 1 (VRL1)
immunoreactivity in mammalian retina: colocalization with so-
matostatin and purinergic P2X1 receptors. J Comp Neurol 474:
407–418 53. Puthussery T, Fletcher EL (2007) Neuronal expression of P2X3
purinoceptors in the rat retina. Neuroscience 146:403–414 46. Eldred JA, Sanderson J, Wormstone M et al (2003) Stress-induced
ATP release from and growth modulation of human lens and retinal
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tion by P2-purinoceptors in the mouse retina. Eur J Neurosci 28:
128–136 47. Reigada D, Mitchell CH (2005) Release of ATP from retinal pig-
ment epithelial cells involves both CFTR and vesicular transport. Am J Physiol Cell Physiol 288(1):C132–C140 55. Kaneda M, Ito K, Shigematsu Y, Shimoda Y (2010) The OFF-
pathway dominance of P2X(2)-purinoceptors is formed without
visual experience. Neurosci Res 66:86–91 48. Reigada D, Lu W, Zhang M, Mitchell CH (2008) Elevated pressure
triggers a physiological release of ATP from the retina: possible role
for pannexin hemichannels. Neuroscience 157:396–404 56. Bringmann A, Pannicke T, Weick M et al (2002) Activation of P2Y
receptors stimulates potassium and cation currents in acutely isolat-
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involved in Müller cell function in the mammalian retina. Prog
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sible function of P2Y(4) receptors in the rodent retina. Neuroscience 155:1262–1274 51. Tautenhahn M, Leichsenring A, Servettini I et al (2012) Purinergic
modulation of the excitatory synaptic input onto rat striatal neurons. Neuropharmacology 62:1756–1766 59. Burnstock G (2009) Purines and purinoceptors: molecular biology
overview. Curr Top Membr 54:1–27
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MAQOLA TARIXI Qabul qilindi: 20-aprel 2022
Ma’qullandi: 25- aprel 2022
Chop etildi: 30- aprel 2022 Ушбу мақолада жазодан озод қилиш институти
тушунчаси, келиб чиқиш тарихи, ҳуқуқий аҳамияти,
турлари ҳамда қўлланилиш доираси ҳақида фикр
юритилади. Бундан ташқари, тадқиқот ишида ривожланган
хорижий давлатлар қонунчилигида жазодан озод
қилишнинг
ўзига
хос
томонилари
ва
миллиц
қонунчилигимизга имплементация қилиш масалари
ёритилган. 1 Сергеевский Н.Д. Русское уголовное право:
Пособие к лекциям. – Пг., 1904. – 420-б.; Таганцев
Н.С. Русское уголовное право. Часть Общая:
Декции. – СПб., 1902. Т.2. – 1392–1404-б.;
Познышев С.В. Основные начала науки уголовного
права. – М., 1912. – 651-б. 2 Дриль Д.А. Уголовное право. – СПб., 1909. – 549-
б.; Фойницкий И.Я. Учение о наказании в связи с
тюрьмоведением. – СПб., 1889. – 160-б. жазони ҳам, янги жазони ҳам ўташига
тўғри келади. жазони ҳам, янги жазони ҳам ўташига
тўғри келади. Шартли
ҳукм
қилишнинг
ҳуқуқий табиати тўғрисидаги масала
узоқ йиллардан бери олимлар ўртасида
қизғин баҳс-мунозараларга сабаб бўлиб
келади. Шартли
ҳукм
қилишнинг
ҳуқуқий табиати хусусидаги у ёки бу
нуқтаи назарларнинг вужудга келиш
тарихини
ўрганиш
республикамиз
ҳуқуқида
тегишли
нормалар
1917
йилдан кейин мустаҳкамланган, деган
хулосага келиш имконини беради. Мазкур
нормани
жиноят
қонунчилигига киритишнинг зарурлиги
ва мақсадга мувофиқлиги тўғрисидаги
масала
россиялик
криминалистлар
томонидан
ҳам
қизғин
муҳокама
қилинади. Аммо мазкур институтнинг
ҳуқуқий
табиатини
тушунишга
нисбатан
ягона
ёндашув
олимлар
орасида мавжуд эмас эди. Унга афв этиш
каби жазодан озод қилиш сифатида;
жиноят содир этган шахснинг айбини
енгиллаштирувчи
ҳолатлар
мавжуд
бўлган ҳолда суднинг жазо ҳажмини
камайтириш олий ҳуқуқи сифатида;
жазоловчи моҳияти жазонинг амалда
ижро этилиши хавфи сақланиб қолувчи
мустақил, алоҳида (маънавий-ахлоқий
хусусиятга эга бўлган) жазо сифатида
ёндашишни таклиф қиладилар. ХХ
аср
бошида
Бельгия,
Франция, Швейцария ва бошқа бир
қанча
мамлакатлар
қонунчилигида
жазони
бекор
қилиш
имконияти
назарда
тутилади. Бу
ҳолда
қисқа
муддатга озодликдан маҳрум қилиш
тариқасидаги жазога ҳукм қилинган
шахс
қонунда
белгиланган
муддат
мобайнида янги жиноий қилмишлар
содир этмаслик шарти билан жазони
ўтамайди. Янги жиноят содир этган
тақдирда маҳкум илгари тайинланган Айни пайтда Н.Д.Сергеевский,
Н.С.Таганцев, С.В.Познишев ва айрим Volume 2 Issue 4, April 2022 ISSN 2181-2020 ISSN 2181-2020 Volume 2 Issue 4, April 2022 Page 474 L OF ACADEMIC RESEARCH
my Research Support Center
www.in-academy.uz
Шартли
ҳукм
қилишни
қисмларга
ажратишнинг
баҳслилигига
келтирилган концепция муаллифининг
ўзи эътиборни қаратади ва бу асосдан
холи эмас. Бундай ажратиш муайян
шартли ҳукм қилиш ва шартли ҳукм
қилинган
шахснинг
хулқ-атвори
устидан
назорат
алоҳида-алоҳида
мавжуд бўлиши мумкин, деб тахмин
қилиш имконини беради. Бироқ назорат
маҳкум ўтиши лозим бўлган синовнинг
ажралмас қисми. Ўз навбатида синов
шахснинг хулқ-атворига қўйиладиган
муайян талабларни ўз ичига олади ва
шартли ҳукм қилишни қўлланиш шарти
сифатида амал қилади. Бундан ташқари,
шахсга
жиноят-ҳуқуқий
таъсир
чораларининг иккита алоҳида тури бир
пайтнинг
ўзида
қўлланиши
мумкинлигини тахмин қилиш ҳам тўғри
бўлмас эди. 3 Ружников А.Н. Условное осуждение и отсрочка
исполнения приговора. – М., 1994. – 32-б. 5 Ўзбекистон Республикаси Олий суди Пленумининг
“Судлар томонидан жиноят учун жазо тайинлаш
амалиёти тўғрисида” 2006 йил 3 февралдаги 1-сон
Қарори. 36-банд // Ўзбекистон Республикаси Олий
суди Ахборотномаси 2006 й., 1-сон. 4
Каримов
И.А.
Мамлакатимизда
демократик
ислоҳотларни янада чуқурлаштириш ва фуқаролик
жамиятини ривожлантириш концепцияси // Халқ
сўзи. – Тошкент, 2010. 13 ноябрь. бошқа олимлар шартли ҳукм қилиш
институтини жиноят содир этишда
айбдор
шахсларнинг
барчаси
қилмишнинг
оғирлик
даражасига
мувофиқ жазога тортилишини талаб
қилувчи жазоловчи олий судловнинг
асосий вазифасига мутлақо зид1, деб
ҳисоблайдилар. Шартли
ҳукм
қилиш
тўғрисидаги
нормаларни
жиноят
қонунига
киритиш
тарафдорлари
уларда қисқа муддатларга озодликдан
маҳрум қилишнинг жиноятчига янада
кучлироқ
ахлоқ
тузатувчи
таъсир
кўрсатишга қодир бўлган муқобилини
кўрганлар2. Бироқ уларнинг ғоялари
ўша даврдаги қонунчиликда рўёбга
чиқарилмаган. Шартли
ҳукм
қилишнинг
ҳуқуқий
табиати
тўғрисида
сўз
юритганда, А.Н.Ружниковнинг шартли
ҳукм қилишда ўзгача ҳуқуқий табиатга
эга бўлган чора – айбдорнинг хулқ-
атвори устидан назоратни ажратиш
мумкин,
деган
фикрига
алоҳида
тўхталиб
ўтиш,
бизнингча,
ўринли
бўлади. Муаллиф фикрига кўра, ушбу
назорат жиноий жавобгарликни амалга
оширишнинг
мустақил
чораси
ёки
маҳкумни
синашдан
иборат
бўлган
алоҳида жиноят-ҳуқуқий таъсир чораси
ҳисобланади, шартли ҳукм қилишнинг
ўзи
эса
жазони
ўташдан
озод
қилишнинг
турларидан
биридир3. Шундай қилиб, шартли ҳукм
қилишнинг
ҳуқуқий
табиатини
аниқлашнинг
таклиф
қилинган
вариантлари
таҳлили
шартли
ҳукм
қилиш
жазодан
озод
қилишнинг
турларидан биридир, деган хулосага
келиш имконини беради. Шу туфайли
ҳам шартли ҳукм қилишни қўлланиш ва
бекор
қилиш
асосларини
тартибга
солувчи
моддалар
Ўзбекистон
Республикаси ЖКнинг “Жазодан озод
қилишнинг турлари” деб номланган XIII
бобида жамланса, бизнингча, мақсадга
мувофиқ бўлар эди. Сўнгги
йилларда
шартли
ҳукмлар чиқариш амалиётида юз берган
ўзгаришларни маълум даражада шарти
равишда тайинлашга йўл қўйиладиган
жазо турлари рўйхати кенгайгани билан
изоҳлаш
мумкин. Ўзбекистон
Республикаси
ЖК
72-моддасининг
биринчи
қисмига
мувофиқ,
суд ISSN 2181-2020 Volume 2 Issue 4, April 2022 озодликдан маҳрум қилиш, интизомий
қисмга жўнатиш, хизмат бўйича чеклаш
ёки
ахлоқ
тузатиш
ишлари
тариқасидаги
жазоларни
шартли
равишда тайинлаш тўғрисида қарор
чиқариши мумкин. 1959 йилги ЖКга
мувофиқ фақат ахлоқ тузатиш ишлари
ва озодликдан маҳрум қилишга шартли
ҳукм
қилишга
йўл
қўйилар
эди. Озодликдан
маҳрум
қилиш
тариқасидаги
жазони
тайинлашда
ҳукмни ижро этиш кечиктирилиши
мумкин эди. Шартли ҳукм қўлланилганда,
бир йилдан уч йилгача бўлган синов
муддати белгиланади ва бу муддат ҳукм
чиқарилган
кундан
бошлаб
ҳисобланади. қонун
синов
муддати
давомийлилигини тайинланган жазо
миқдори билан боғламайди. Бу масала
суд томонидан ҳар сафар содир этилган
жиноятнинг
хусусияти
ва
судланувчининг шахсидан келиб чиқиб
ҳал этилади6. Сўнгги йилларда шартли ҳукм
қилинаётган шахслар сонининг кўпайиб
бораётганлиги
жиноят
қонунчилиги
сиёсатининг
инсонпарварлашуви
талабларига тўла жавоб беради. Ушбу
сиёсатни
амалга
ошириш
йўналишларидан
бири
озодликдан
маҳрум қилишга муқобил чораларни
ёки
маҳкумни
жамиятдан
ажратиш
билан
боғлиқ
бўлмаган
чораларни
янада кенгроқ қўллаш ҳисобланади. Зотан, ижтимоий хавфи унча катта
бўлмаган ишлар бўйича одамларни
қамаш
“давлатга
жуда
қимматга
тушади, қолаверса, бундай жазо тури
маҳкумларни
тарбиялаш
ва
қайта
тарбиялаш вазифасини ҳал қилмайди”4. Сўнгги йилларда шартли ҳукм
қилинаётган шахслар сонининг кўпайиб
бораётганлиги
жиноят
қонунчилиги
сиёсатининг
инсонпарварлашуви
талабларига тўла жавоб беради. Ушбу
сиёсатни
амалга
ошириш
йўналишларидан
бири
озодликдан
маҳрум қилишга муқобил чораларни
ёки
маҳкумни
жамиятдан
ажратиш
билан
боғлиқ
бўлмаган
чораларни
янада кенгроқ қўллаш ҳисобланади. 6 Ўша ерда. – 34-банд. бошқа олимлар шартли ҳукм қилиш
институтини жиноят содир этишда
айбдор
шахсларнинг
барчаси
қилмишнинг
оғирлик
даражасига
мувофиқ жазога тортилишини талаб
қилувчи жазоловчи олий судловнинг
асосий вазифасига мутлақо зид1, деб
ҳисоблайдилар. Зотан, ижтимоий хавфи унча катта
бўлмаган ишлар бўйича одамларни
қамаш
“давлатга
жуда
қимматга
тушади, қолаверса, бундай жазо тури
маҳкумларни
тарбиялаш
ва
қайта
тарбиялаш вазифасини ҳал қилмайди”4. Айни пайтда шуни қайд этиш
лозимки, жазо шартли тайинланган
шахсларни ва
унча оғир бўлмаган
жиноятни қайта содир этганлик учун
ҳукм қилинган шахсларни тавсифловчи
кўрсаткичларга
Ўзбекистон
Республикаси
ЖК
72-моддаси
саккизинчи қисмининг шартли ҳукм
қилинган шахс синов муддати давомида Шартли
ҳукм
қилинган
шахсларнинг
хулқ-атвори
устидан
назорат ички ишлар органлари, ҳарбий
хизматчиларга нисбатан эса – улар
хизматни ўтаётган жойдаги ҳарбий
қисмлар (муассасалар) қўмондонлиги
томонидан
амалга
оширилади
(Ўзбекистон Республикаси ЖИК 15-
моддасининг биринчи қисми). Шартли
ҳукм қилинган шахсларнинг ҳисобини
олиб
бориш,
уларнинг
ҳулқ-атвори
устидан назорат олиб боришни ички
ишлар идоралари ҲООБ жазони ижро
этиш инспекциялари ташкил этади. 6 Ўша ерда. – 34-банд. Volume 2 Issue 4, April 2022 ISSN 2181-2020 Page 476 Бундай
назорат
шартли
ҳукм
қилинганларнинг
хулқ-атворини
кузатиш, уларга ишга жойлашиш ва
турар жой билан таъминлашда ёрдам
кўрсатиш, улар қонун талабларига риоя
қилишлари ва суд уларга юклаган
вазифаларни
бажаришларини
текширишдан иборат. Унинг вазифаси –
шартли
ҳукм
қилинганлар
синов
муддати
мобайнида
ҳуқуқий
кўрсатмаларни бузишларининг олдини
олиш. инспекциялари
томонидан
амалга
оширилади. Бунда жазони ижро этиш
инспекцияси томонидан: маҳкумлар
билан
суҳбат
ўтказилиб, жазо ўташ шарт-шароитлари
тушунтирилади; ишлаш
ва
ўқиш
жойлари
маъмуриятларидан
маҳкумларга
нисбатан
тавсияномалар
сўралади,
керак
бўлган
пайтда
маъмурият
аъзолари билан учрашув ўтказилади; маҳкумлар томонидан жамоат
тартибини
бузиш
ҳоллари
содир
этилганлигини аниєлаш мақсадида ҳар
ойда ички ишлар бўлимининг маълумот
картотекаси билан танишилади; Шартли
ҳукм
қилинганлар
устидан
назоратни
амалга
ошириш
тартиби Ўзбекистон Республикаси ЖИК
32-бобида
белгиланган. Бундан
ташқари, шартли ҳукм қилинганларни
назорат қилиш масалалари Ўзбекистон
Республикаси
Ички
ишлар
вазирлигининг 2001 йил 298-сонли
буйруғи билан тасдиқланган “Ахлоқ
тузатиш
ишлари,
муайян
ҳуқуқдан
маҳрум қилиш тариқасидаги жазоларни
ижро
этиш
ва
шартли
ҳукм
қилинганларни
назорат
қилиш
тартибига оид йўриқнома”да атрофлича
тартибга
солинган. Хусусан,
ушбу
норматив-ҳуқуқий
ҳужжатда
шартли
ҳукм
қилиш
тўғрисидаги
суд
ҳукмларини ижрога қабул қилишни
расмийлаштириш, маҳкумлар ахлоқи
устидан назорат қилиш, шартли ҳукмни
бекор қилиш ҳамда ҳукмда тайинланган
жазони ижро этиш тўғрисида судга
тақдимнома киритиш, шартли ҳукм
қилинганларнинг
қидируви,
шартли
ҳукм қилинганларни ҳисобдан чиқариш
тартиби белгиланган. суд томонидан белгиланган
мажбуриятларнинг бажарилиши (ҳар
чоракда
камида
бир
маротаба)
текширилади, уларни бажармай юрган
шахсларга нисбатан тегишли чоралар
кўрилади. Натижаси
ҳақида
маълумотнома тузилиб, назорат йиғма
жилдига қўшиб борилади; суд
томонидан
рўйхатдан
ўтиб туриш мажбурияти юклатилган
маҳкумларни
рўйхатдан
ўтказиш
амалга оширилади. 8 Усмоналиев М. Жиноят ҳуқуқи. Умумий қисм.
Олий ўқув юртлари учун дарслик. – Т.: “Янги аср
авлоди”, 2005. – 600-б. 7 Ўзбекистон Республикаси Олий суди Пленумининг
“Судлар томонидан жиноят учун жазо тайинлаш
амалиёти тўғрисида” 2006 йил 3 февралдаги 1-сон
Қарори. 35-банд // Ўзбекистон Республикаси Олий
суди Ахборотномаси 2006 й., 1-сон. бошқа олимлар шартли ҳукм қилиш
институтини жиноят содир этишда
айбдор
шахсларнинг
барчаси
қилмишнинг
оғирлик
даражасига
мувофиқ жазога тортилишини талаб
қилувчи жазоловчи олий судловнинг
асосий вазифасига мутлақо зид1, деб
ҳисоблайдилар. Жазони
ижро
этиш
инспекцияси
маҳкум
томонидан
қуйидаги
ҳуқуқбузарликлар
содир
этилганда, судга тақдимнома киритади: а) синов муддати давомида
жамоат
тартибини
ёки
меҳнат
интизомини бузганлиги учун маъмурий
ёки интизомий жазо қўлланган бўлса; б)
шартли
ҳукм
қилинган
муайян муддат мобайнида ишга ёки
ўқишга кирмаган, етказилган зарарни
бартараф
этмаган,
ички
ишлар
органининг рухсатисиз турар жойини
ўзгартирган,
рўйхатдан
ўтиш
учун
келмаётган ҳамда ҳукмда кўрсатилган Юқорида айтиб ўтилганидек,
синов муддати мобайнида шартли ҳукм
қилинган
шахсларнинг
хулқ-атвори
устидан назорат ички ишлар идоралари
ҲООБ
жазони
ижро
этиш ISSN 2181-2020 Page 477 бошқа мажбуриятларни бажармаётган
бўлса; Бундай ҳуқуқбузарликлар
орасида
майда
безорилик,
жамоат
тартибига
таҳдид
соладиган
материалларни тайёрлаш ёки тарқатиш
мақсадида сақлаш, ўқотар қуроллардан
белгиланган тартибни бузган ҳолда
отиш, хонаки усулда ҳозирланадиган
ўткир спиртли ичимликларни сотиш
мақсадида тайёрлаш ёки сотиш, жамоат
жойларида спиртли ичимликлар ичиш,
вояга етмаган шахсни ғайриижтимоий
хатти-ҳаракатларга
жалб
қилиш,
порнографик
мазмундаги
материалларни тарқатиш, фоҳишалик
билан
шуғулланиш,
қимор
ва
таваккалчиликка
асосланган
бошқа
ўйинлар,
маиший
шовқинга
қарши
кураш талабларини бузиш бор. Суднинг шартли ҳукм қилиш
тўғрисидаги қарори ўз кучида қолиши
учун
маҳкум
белгиланган
синов
бажариши,
технология
интизомига,
меҳнат
муҳофазаси,
техника
хавфсизлиги
ва
ишлаб
чиқариш
санитарияси талабларига риоя қилиши,
иш берувчининг мол-мулкини авайлаб
асраши
шарт. Ходимнинг
меҳнат
вазифалари ички тартиб қоидаларида,
интизом
тўғрисидаги
устав
ва
низомларда,
корхонада
қабул
қилинадиган
локал
ҳужжатларда
(жамоа шартномаларида, йўриқномалар
ва ҳоказоларда), меҳнат шартномасида
аниқ белгилаб қўйилади. Ходимга
меҳнат интизомини
бузганлиги учун иш берувчи қуйидаги
интизомий жазо чораларини қўллашга
ҳақли: 1) ҳайфсан; 2) ўртача ойлик иш
ҳақининг
ўттиз
фоизидан
ортиқ
бўлмаган
миқдорда
жарима. Ички
меҳнат тартиби қоидаларида ходимга
ўртача
ойлик
иш
ҳақининг
эллик
фоизидан ортиқ бўлмаган миқдорда
жарима солиш ҳоллари ҳам назарда
тутилиши
мумкин;
3)
меҳнат
шартномасини
бекор
қилиш. Ўзбекистон
Республикаси
Меҳнат
кодексида
назарда
тутилмаган
интизомий жазо чораларини қўлланиш
тақиқланади (Ўзбекистон Республикаси
Меҳнат кодексининг 181-моддаси). Суд
шартли
ҳукм
қилиш
тўғрисида
қарор
чиқарар
экан,
маҳкумга
бажармаслик
шартли
ҳукмнинг
бекор
қилинишига
олиб
келиши мумкин бўлган мажбуриятлар EURASIAN JOURNAL OF ACADEMIC RESEARCH
Innovative Academy Research Support Center
UIF = 8 1 | SJIF = 5 685
www in academy uz белгиланган
барча
ҳуқуқлардан
фойдаланадилар. бошқа мажбуриятларни бажармаётган
бўлса; мобайнида
етказилган
зарарни
бартараф қилиш; ишга ёки ўқишга
кириш; яшаш жойи, иш ёки ўқиш жойи
ўзгариб қолса, бу ҳақда шартли ҳукм
қилинган
шахснинг
хулқи
устидан
назорат олиб борувчи органга хабар
бериб туриш; вақти-вақти билан келиб
бу органларда рўйхатдан ўтиб туриш;
муайян жойларда бўлмаслик, муайян
вақтда
яшаш
жойида
бўлиш;
алкоголизм, гиёҳвандлик, заҳарвандлик
ёки таносил касаллигидан даволаниш
курсини ўташ ва ҳ.к. в)
шартли
ҳукм
қилинган
шахснинг назоратдан бўйин товлаш
мақсадида яширинганига етарли асос
бўлса. Ўзбекистон Республикаси ЖК
72-моддасининг
олтинчи
қисмига
мувофиқ, агар шартли ҳукм қилинган
шахс синов муддати давомида суд
томонидан
унга
юклатилган
мажбуриятларини
бажармаса
ёхуд
жамоат
тартиби
ёки
меҳнат
интизомини
бузганлиги
учун
унга
маъмурий
ёки
интизомий
таъсир
чораси қўлланилган бўлса, суд бундай
шахснинг хулқи устидан назорат олиб
борувчи орган тақдимномасига биноан
жазонинг шартлилигини бекор қилиб,
ҳукмда белгиланган жазони ижро этиш
тўғрисида қарор қабул қилишга ҳақли. Шу
билан
бирга,
содир
этилган
ҳуқуқбузарликнинг
хусусияти
ва
муайян ҳолатларини, маҳкумнинг шахси
ва синов муддати давомидаги хулқ-
атворига доир маълумотларни ҳисобга
олиб,
суд
шартли
ҳукмни
аслича
қолдириш
тўғрисида
қарор
қабул
қилиши мумкин7. Шартли ҳукм қилинган шахсга
нисбатан
юклатилган
мажбуриятларнинг аҳамияти шундаки,
синов муддати тугаганидан кейин
шахсга нисбатан тайинланган жазони
ижро этиш ёки шахсни жазодан озод
қилиш масаласини ҳал қилишда айнан
ана
шу
унга
юклатилган
мажбуриятларни
қай
даражада
бажарган ёки бажармаганлиги асос
бўлади. Демак, шахсга нисбатан ЖК 72-
моддасининг
1-қисмида
кўрсатилган
жазоларни тайинлаб, сўнг шартли ҳукм
қилишнинг ўзи ҳали шахсни жазодан
озод қилиш дегани эмас. Суд шахсни
шартли ҳукм қилиб, синов муддатини
белгилайди ва муайян шартларни шахс
зиммасига юклайди8. Шартли ҳукмни бекор қилиш
тўғрисидаги
тақдимнома
етказилган
зарарни бартараф қилиш учун суд
томонидан белгиланган муддат тамом
бўлиши билан ўн кун ичида юборилади. Шартли
ҳукм
қилинган
шахсларнинг устидан назорат қонуний
кучга кирган суд ҳукмига мувофиқ
амалга
оширилади. Шартли
ҳукм
қилинганлар Ўзбекистон Республикаси
қонунларида ва суд ҳукмида кўзда
тутилган чеклаш ва мажбуриятлардан
ташқари
Ўзбекистон
Республикаси
фуқаролари
учун
қонунларда Суд
шартли
ҳукм
қилинган
шахсга, башарти, бунга асослар мавжуд
бўлса,
қуйидаги
мажбуриятларни
юклаши
мумкин:
муайян
вақт Volume 2 Issue 4, April 2022 ISSN 2181-2020 Page 478 EURASIAN JOURNAL OF ACADEMIC RESEARCH
Innovative Academy Research Support Center
UIF = 8.1 | SJIF = 5.685
www.in-academy.uz
белгиланган
барча
ҳуқуқлардан
фойдаланадилар. Жамоат
тартибини
бузиш
Маъмурий
жавобгарлик
тўғрисидаги
кодексда
назарда
тутилган
ҳуқуқбузарликлар орасида энг оғири
ҳисобланади. Шу туфайли ҳам улар
содир этилиши шартли ҳукм бекор
қилинишига
олиб
келиши
мумкин
бўлган
ҳуқуқбузарликлар
сифатида
танланган. Жамоат тартибига тажовуз
қилувчи ҳуқуқбузарликлар Ўзбекистон
Республикаси Маъмурий жавобгарлик
тўғрисидаги кодексининг XV бобида
жамланган. белгиланган
барча
ҳуқуқлардан
фойдаланадилар. Ўзбекистон Республикаси ЖК
72-моддасининг
бешинчи
қисмига
мувофиқ,
ҳукм
қилинган
шахснинг
хулқи устидан назорат олиб борувчи
органнинг тақдими билан суд синов
муддати давомида унга юклатилган
мажбуриятларнинг ҳаммасини ёки бир
қисмини олиб ташлаши ёки унинг
зиммасига янги мажбуриятлар юклаши
ҳам мумкин. Шартли ҳукм қилинган шахс
яшаш жойини ташлаб кетган бўлса,
жазони
ижро
этиш
инспекцияси
ходимлари
томонидан
унинг
қаердалигини
аниқлаш
чоралари
кўрилади. Бу мақсадда:
а) маҳкумнинг қариндош ва
танишлари
унинг
қаерда
бўлиши
мумкинлигини
аниқлаш
мақсадида
суриштирилади;
б)
манзиллар
маълумотхонасидан ва бошқа тегишли
давлат
органларидан
ҳамда
уй
жойларида жойлашган ҳудуддаги ички
ишлар бўлимига сўровлар юборилади;
д)
тиббий
муассасаларда
маҳкумлар тўғрисида бирор маълумот
бор-йўқлиги текширилади;
е) ички ишлар бўлимларида
ушланган,
ҳибсга
олинганлар,
судланганлар
ҳамда
қидирувда
бўлганлар рўйхати кўриб чиқилади;
м)
маҳкумларни
аниқлаш
мақсадида
кўзда
тутилган
бошқа
чоралар ҳам қўлланилади;
з)
тўпланган
ҳужжатлар
алоҳида
йиғма
жилдда
тахланиб,
назорат йиғма жилдига қўшилади;
и) агарда бир ой муддатда
қидирилаётган шахсни аниқлашнинг
иложи бўлмаса, жазони ижро этиш
инспекциясида тўпланган ҳужжатлар
билан
хулосани
ва
суд
ҳукмининг
нусхасини унга нисбатан қидирув эълон
қилишни сўраб маҳкумнинг турар жойи
бўйича ички ишлар бўлими бошлиғига
топширади. Маҳкумнинг
назоратдан
бўйин товлаш мақсадида яширингани
учун етарли асос бўлса, шартли ҳукмни
бекор
қилиш
тўғрисида
судга
тақдимнома киритилади. Шартли ҳукм ўта оғир жинояти
учун ҳукм қилинганларга, шунингдек
илгари қасддан содир этган жинояти
учун озодликдан маҳрум этиш жазосига
ҳукм
қилинган
шахсларга
нисбатан белгиланган
барча
ҳуқуқлардан
фойдаланадилар. ф
р
Жамоат
тартибини
бузиш
Маъмурий
жавобгарлик
тўғрисидаги
кодексда
назарда
тутилган
ҳуқуқбузарликлар орасида энг оғири
ҳисобланади. Шу туфайли ҳам улар
содир этилиши шартли ҳукм бекор
қилинишига
олиб
келиши
мумкин
бўлган
ҳуқуқбузарликлар
сифатида
танланган. Жамоат тартибига тажовуз
қилувчи ҳуқуқбузарликлар Ўзбекистон
Республикаси Маъмурий жавобгарлик
тўғрисидаги кодексининг XV бобида
жамланган. Бундай ҳуқуқбузарликлар
орасида
майда
безорилик,
жамоат
тартибига
таҳдид
соладиган
материалларни тайёрлаш ёки тарқатиш
мақсадида сақлаш, ўқотар қуроллардан
белгиланган тартибни бузган ҳолда
отиш, хонаки усулда ҳозирланадиган
ўткир спиртли ичимликларни сотиш
мақсадида тайёрлаш ёки сотиш, жамоат
жойларида спиртли ичимликлар ичиш,
вояга етмаган шахсни ғайриижтимоий
хатти-ҳаракатларга
жалб
қилиш,
порнографик
мазмундаги
материалларни тарқатиш, фоҳишалик
билан
шуғулланиш,
қимор
ва
таваккалчиликка
асосланган
бошқа
ўйинлар,
маиший
шовқинга
қарши
кураш талабларини бузиш бор. Ходимга
меҳнат интизомини
бузганлиги учун иш берувчи қуйидаги
интизомий жазо чораларини қўллашга
ҳақли: 1) ҳайфсан; 2) ўртача ойлик иш
ҳақининг
ўттиз
фоизидан
ортиқ
бўлмаган
миқдорда
жарима. Ички
меҳнат тартиби қоидаларида ходимга
ўртача
ойлик
иш
ҳақининг
эллик
фоизидан ортиқ бўлмаган миқдорда
жарима солиш ҳоллари ҳам назарда
тутилиши
мумкин;
3)
меҳнат
шартномасини
бекор
қилиш. Ўзбекистон
Республикаси
Меҳнат
кодексида
назарда
тутилмаган
интизомий жазо чораларини қўлланиш
тақиқланади (Ўзбекистон Республикаси
Меҳнат кодексининг 181-моддаси). ҳ
д
дд
)
Суд
шартли
ҳукм
қилиш
тўғрисида
қарор
чиқарар
экан,
маҳкумга
бажармаслик
шартли
ҳукмнинг
бекор
қилинишига
олиб
келиши мумкин бўлган мажбуриятлар
юклаши мумкин. Бироқ айни пайтда суд
маҳкумга
бирон-бир
мажбурият
юкламаслиги ҳам мумкин. Бу ҳолда
шартли ҳукм қилинган шахснинг хулқ-
атвори
устидан
назоратни
амалга
ошириш
шартли
ҳукм
қилинган
шахснинг жамоат тартиби ва меҳнат
интизомига риоя қилишидан ҳамда Суднинг шартли ҳукм қилиш
тўғрисидаги қарори ўз кучида қолиши
учун
маҳкум
белгиланган
синов
муддати мобайнида меҳнат интизомига
ҳам риоя қилиши шарт. Ўзбекистон
Республикаси Меҳнат кодексининг 176-
моддасига мувофиқ ходим ўз меҳнат
вазифаларини
ҳалол,
виждонан
бажариши, меҳнат интизомига риоя
қилиши,
иш
берувчининг
қонуний
фармойишларини ўз вақтида ва аниқ Volume 2 Issue 4, April 2022 ISSN 2181-2020 ISSN 2181-2020 Volume 2 Issue 4, April 2022 Page 479 EURASIAN JOURNAL OF ACADEMIC RESEARCH
Innovative Academy Research Support Center
UIF = 8.1 | SJIF = 5.685
www.in-academy.uz
жазони
ижро
этиш
инспекцияси
ходимлари
билан
суҳбатлашишдан
иборат бўлади. Бунда мазкур шахсга
шартли ҳукмни бекор қилиш учун асос
сифатида, у янги жиноят содир этган
ҳоллардан ташқари, жамоат тартиби
ёки меҳнат интизомини бузганлиги
учун унга маъмурий ёки интизомий
таъсир
чораси
қўлланилгани
амал
қилади. 10 Золотарев В. Условное осуждение с отбыванием
в колонии // Рос. юстиция. 1999. №3. – 38-б. 9 Ўзбекистон Республикаси Олий суди Пленумининг
“Судлар томонидан жиноят учун жазо тайинлаш
амалиёти тўғрисида” 2006 йил 3 февралдаги 1-сон
Қарори. 36-банд // Ўзбекистон Республикаси Олий
суди Ахборотномаси 2006 й., 1-сон. www.in-academy.uz жазони
ижро
этиш
инспекцияси
ходимлари
билан
суҳбатлашишдан
иборат бўлади. Бунда мазкур шахсга
шартли ҳукмни бекор қилиш учун асос
сифатида, у янги жиноят содир этган
ҳоллардан ташқари, жамоат тартиби
ёки меҳнат интизомини бузганлиги
учун унга маъмурий ёки интизомий
таъсир
чораси
қўлланилгани
амал
қилади. д)
тиббий
муассасаларда
маҳкумлар тўғрисида бирор маълумот
бор-йўқлиги текширилади; е) ички ишлар бўлимларида
ушланган,
ҳибсга
олинганлар,
судланганлар
ҳамда
қидирувда
бўлганлар рўйхати кўриб чиқилади; м)
маҳкумларни
аниқлаш
мақсадида
кўзда
тутилган
бошқа
чоралар ҳам қўлланилади; Ўзбекистон Республикаси ЖК
72-моддасининг
бешинчи
қисмига
мувофиқ,
ҳукм
қилинган
шахснинг
хулқи устидан назорат олиб борувчи
органнинг тақдими билан суд синов
муддати давомида унга юклатилган
мажбуриятларнинг ҳаммасини ёки бир
қисмини олиб ташлаши ёки унинг
зиммасига янги мажбуриятлар юклаши
ҳам мумкин. з)
тўпланган
ҳужжатлар
алоҳида
йиғма
жилдда
тахланиб,
назорат йиғма жилдига қўшилади; и) агарда бир ой муддатда
қидирилаётган шахсни аниқлашнинг
иложи бўлмаса, жазони ижро этиш
инспекциясида тўпланган ҳужжатлар
билан
хулосани
ва
суд
ҳукмининг
нусхасини унга нисбатан қидирув эълон
қилишни сўраб маҳкумнинг турар жойи
бўйича ички ишлар бўлими бошлиғига
топширади. Маҳкумнинг
назоратдан
бўйин товлаш мақсадида яширингани
учун етарли асос бўлса, шартли ҳукмни
бекор
қилиш
тўғрисида
судга
тақдимнома киритилади. Шартли ҳукм қилинган шахс
яшаш жойини ташлаб кетган бўлса,
жазони
ижро
этиш
инспекцияси
ходимлари
томонидан
унинг
қаердалигини
аниқлаш
чоралари
кўрилади. Бу мақсадда: а) маҳкумнинг қариндош ва
танишлари
унинг
қаерда
бўлиши
мумкинлигини
аниқлаш
мақсадида
суриштирилади; Шартли ҳукм ўта оғир жинояти
учун ҳукм қилинганларга, шунингдек
илгари қасддан содир этган жинояти
учун озодликдан маҳрум этиш жазосига
ҳукм қилинган шахсларга нисбатан
қўлланилмайди,
ўн
саккиз
ёшга
тўлмаган шахслар, биринчи ва иккинчи
гуруҳ ногиронлари, аёллар, шунингдек
олтмиш ёшдан ошган шахслар бундан
мустасно (Ўзбекистон Республикаси ЖК
72-моддасининг еттинчи қисми). б)
манзиллар
маълумотхонасидан ва бошқа тегишли
давлат
органларидан
ҳамда
уй
дафтаридан
маҳкумнинг
турар
жойидаги
рўйхатдан
чиқмагани
аниқланади; в) ўқиш ёки иш жойидаги
кадрлар бўлимидан маҳкумнинг қаерда
бўлиши
мумкинлиги
тўғрисидаги
маълумотларга
эга
бўлган
шахслар
орқали аниқлаш чоралари кўрилади; Айни пайтда, шуни назарда
тутиш
керакки,
Ўзбекистон
Республикаси
ЖКнинг
72-моддасида
шартли ҳукмни бекор қилиш учун асос г) яширинган шахсни аниқлаш
мақсадида унинг қариндошлари турар Volume 2 Issue 4, April 2022 ISSN 2181-2020 ISSN 2181-2020 Page 480 Foydalanilgan adabiyotlar: 1.1. Мирзиёев Ш.М. Эркин ва фаровон, демократик Ўзбекистон давлатини мард ва
олижаноб халқимиз билан бирга қурамиз// Халқ сўзи.-2016.-15 дек. 1.1. Мирзиёев Ш.М. Эркин ва фаровон, демократик Ўзбекистон давлатини мард ва
олижаноб халқимиз билан бирга қурамиз// Халқ сўзи.-2016.-15 дек. 1.2. Мирзиёев Ш.М. Буюк келажагимизни мард ва олижаноб халқимиз билан бирга
қурамиз. Тoшкeнт: Ўзбeкиcтaн, 2017. 1.2. Мирзиёев Ш.М. Буюк келажагимизни мард ва олижаноб халқимиз билан бирга
қурамиз. Тoшкeнт: Ўзбeкиcтaн, 2017. EURASIAN JOURNAL OF ACADEMIC RESEARCH
Innovative Academy Research Support Center
UIF = 8.1 | SJIF = 5.685
www.in-academy.uz Volume 2 Issue 4, April 2022 ISSN 2181-2020 Page 481 EURASIAN JOURNAL OF ACADEMIC RESEARCH
Innovative Academy Research Support Center
UIF = 8.1 | SJIF = 5.685
www.in-academy.uz
адолат
принципини
бузади,
балки
уларнинг
қилмишларидан
жабрланганларнинг
ҳуқуқларини
камситади. Жиноятчиларга инсонийлик
кўрсатиш оқилона чегарада бўлиши
лозим. Бироқ Ўзбекистон Республикаси
ЖПК суд қарорини назорат тартибида
қайта
кўришда
нафақат
ишда
йб
ё
балки маҳкумнинг шахси тўғрисидаги
маълумотларни янги очилган ҳолатлар
ёки
янги
ҳолатлар
қаторига
киритмайди. Бизнингча,
жиноят-
процессуал
қонунчиликдаги
бу
камчилик ЖПКга тегишли қўшимча
киритиш йўли билан бартараф этилиши
лозим. адолат
принципини
бузади,
балки
уларнинг
қилмишларидан
жабрланганларнинг
ҳуқуқларини
камситади. Жиноятчиларга инсонийлик
кўрсатиш оқилона чегарада бўлиши
лозим. Бироқ Ўзбекистон Республикаси
ЖПК суд қарорини назорат тартибида
қайта
кўришда
нафақат
ишда
айбдорнинг аҳволини ёмонлаштирувчи
томонга бурилиш ясашни тақиқлайди, EURASIAN JOURNAL OF ACADEMIC RESEARCH
Innovative Academy Research Support Center
UIF = 8.1 | SJIF = 5.685
www.in-academy.uz озодликдан шартли маҳрум қилишни
ҳам ўтайди10. бўладиган ҳолатлар доираси қатъий
белгиланган. Шу сабабли, агар шартли
ҳукм қилинган шахснинг ўша иш бўйича
ҳукм чиқарилгунга қадар содир этилган
бошқа
жиноятда
ҳам
айбдорлиги
аниқланса,
ушбу
ҳолат
жазонинг
шартлилигини бекор қилиш учун асос
бўла олмайди. Бундай ҳолда Ўзбекистон
Республикаси ЖКнинг 59-моддаси (“Бир
неча жиноят содир этганлик учун жазо
тайинлаш”) қоидалари қўлланилмайди
(чунки шартли ҳукм юридик табиатига
кўра жиноий жазодан озод қилишнинг
бир тури ҳисобланади) ва биринчи
ҳамда иккинчи иш бўйича чиқарилган
ҳар
қайси
ҳукм
алоҳида
ижро
қилинади9. Ўз-ўзидан
равшанки,
бундай
ҳолларда
шартли
ҳукм
қилишнинг
моҳиятига путур етади ва одиллик
принципи
бузилади. Шартли
ҳукм
қилишда шахсга жазони ижро этиш
инспекцияси
ходимлари
томонидан
амалга ошириладиган ахлоқ тузатиш
тусидаги
айрим
чоралар
ёрдамида
мустақил равишда ахлоқан тузалиш
имконияти берилади. Бундан фарқли
ўлароқ
озодликдан
маҳрум
қилиш
жазосини амалда ўташда маҳкумга уни
жамиятдан
ажратиш
шароитларида
жазони
ижро
этиш
муассасаси
маъмурияти томонидан ахлоқ тузатиш
ва
тарбиявий
таъсир
сурункали
кўрсатилади. Бундан ташқари, жазони
ижро этиш муассасалари шартли ҳукм
қилинганлар устидан назоратни амалга
ошириш
ваколатига
эга
эмас. Бу
функция ички ишлар органларининг
жазони
ижро
этиш
инспекциялари
зиммасига юкланган. Бинобарин, улар
ушбу функцияни озодликдан маҳрум
қилиш
жойларидаги
шахсларга
нисбатан
бажармайдилар. Натижада
мазкур шахс жазо шартли тайинланган
жиноят учун амалда оқланади, чунки
шартли ҳукм қилиш билан боғлиқ
бўлган салбий оқибатлар озодликдан
маҳрум қилишга хос бўлган инсон
ҳуқуқларининг
янада
жиддийроқ
чекланиши билан қамраб олинади. Ўзбекистон Республикаси Олий
суди Пленуми жиноятлар қандай кетма-
кетликда содир этилишига эътиборни
қаратмайди. Шартли жазо тайинланган
жиноят вақтга кўра бошқа жиноятдан
олдин содир этилган бўлиши ҳам, кейин
содир этилган бўлиши ҳам мумкин. Жиноятлардан бири бошқа жиноят учун
шартли ҳукм қилиш тўғрисидаги қарор
чиқарилгунга қадар содир этилгани ҳал
қилувчи аҳамиятга эга бўлади. Олий суд Пленуми қарорининг
юқорида
зикр
этилган
қоидасига
асосланган
ҳолда
суд
реал
жазо
тайинлаш ва шартли жазо тайинлаш
тўғрисидаги
ҳукмларни
алоҳида-
алоҳида ижро этиш ҳақида қарор қабул
қилади. Бунинг натижасида маҳкум,
масалан, озодликдан маҳрум қилиш
жазосини
жазони
ижро
этиш
муассасасида ўтиш билан бир вақтда Бизнингча,
бундай
ҳолларда
шартли ҳукм қилиш тўғрисидаги қарор
процессуал тартибда бекор қилинса,
мақсадга мувофиқ бўлади. Жиноятлар
содир этган шахсларга ҳаддан ташқари
инсоний ёндашув нафақат ижтимоий 9 Ўзбекистон Республикаси Олий суди Пленумининг
“Судлар томонидан жиноят учун жазо тайинлаш
амалиёти тўғрисида” 2006 йил 3 февралдаги 1-сон
Қарори. 36-банд // Ўзбекистон Республикаси Олий
суди Ахборотномаси 2006 й., 1-сон. EURASIAN JOURNAL OF ACADEMIC RESEARCH 11. Ўзбекистон Республикаси Президенти Ш.М.Мирзиёевнинг 2018-йил 14-майда
“Жиноят ва жиноят-процессуал қонунчилиги тизимини тубдан такомиллаштириш
чора-тадбирлари тўғрисида”ги 3723-сонли қарори. 11. Ўзбекистон Республикаси Президенти Ш.М.Мирзиёевнинг 2018-йил 14-майда
“Жиноят ва жиноят-процессуал қонунчилиги тизимини тубдан такомиллаштириш
чора-тадбирлари тўғрисида”ги 3723-сонли қарори. 12. Ўзбекистон Республикаси Президентининг 2017-йил 7-февралдаги “Ўзбекистон
Республикасини янада ривожлантириш бўйича харакатлар стратегияси тўғрисида”ги
ПФ-4947-сонли Фармони. 12. Ўзбекистон Республикаси Президентининг 2017-йил 7-февралдаги “Ўзбекистон
Республикасини янада ривожлантириш бўйича харакатлар стратегияси тўғрисида”ги
ПФ-4947-сонли Фармони. 13. СССР Олий Суди Пленумининг 1961-йил 4-мартдаги “Шартли ҳукмни қўллаш
бўйича суд амалиёти тўғрисида”ги қарорининг 2-банди. 14. Ўзбекистон
Республикаси
ИИВ
нинг
2013-йил
29-июлдаги
Ўзбекистон
Республикаси ИИВ озодликдан маҳрум қилиш туридаги жазони ижро этиш
муассасаларининг ички тартиб қоидаларини тасдиқлаш тўгрисидаги 2495-сонли
Буйруғи. 15. “Strafgesetzbuch in der Fassung der Bekantnachtung vom 13. November 1998 (BGBI. I S. 3322), das zuletzt durch Artikel 1 des Gesetzes vom 3. Marz 2020 (BGBI. I S. 431) geandert
worden ist). (56. Artikel). 15. “Strafgesetzbuch in der Fassung der Bekantnachtung vom 13. November 1998 (BGBI. I S. 3322), das zuletzt durch Artikel 1 des Gesetzes vom 3. Marz 2020 (BGBI. I S. 431) geandert
worden ist). (56. Artikel). 16. Ўзбекистон Республикаси ИИВ нинг “Муайян ҳуқуқдан маҳрум қилиш, ахлоқ
тузатиш ишлари ва озодликдан чеклаш тариқасидаги жазоларнинг ижросини ташкил
этиш ҳамда шартли ҳукм қилинган шахслар устидан назоратни амалга ошириш
тартиби тўғрисида”ги 2017-йил 27-июлдаги 157-сон йўриқномани тасдиқлаш ҳақидаги
2017-йил 28-августдаги 2922-сонли Буйруғи. 16. Ўзбекистон Республикаси ИИВ нинг “Муайян ҳуқуқдан маҳрум қилиш, ахлоқ
тузатиш ишлари ва озодликдан чеклаш тариқасидаги жазоларнинг ижросини ташкил
этиш ҳамда шартли ҳукм қилинган шахслар устидан назоратни амалга ошириш
тартиби тўғрисида”ги 2017-йил 27-июлдаги 157-сон йўриқномани тасдиқлаш ҳақидаги
2017-йил 28-августдаги 2922-сонли Буйруғи. Норматив-ҳуқуқий ҳужжатлар: 1. Ўзбекистон Республикасининг Конститутсияси. – Т.: “Ўзбекистон”, 2017-йил. збекистон Республикасининг Конститутсияси. – Т.: “Ўзбекистон”, 2017-йил. у
р
3. Ўзбекистон Республикасининг Жиноят-процессуал кодекси. Расмий нашр. –
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Т.:“Адолат”, 2019. 4. Ўзбекистон Республикасининг Жиноят-ижроия кодекси. T.: “Адолат” 2017-йил. 5. Ўзбекистон Республикаси Олий Суди Пленуми томонидан 2006-йил 3-февралда
қабул қилинган “Судлар томонидан жиноят учун жазо тайинлаш амалиёти
тўғрисида”ги 1-сонли қарори. 6. Ўзбекистон Республикаси Олий Суди Пленумининг 2000 – йил 15-сентябрдаги Вояга
етмаганларнинг жиноятлари ҳақидаги ишлар бўйича суд амалиёти тўғрисидаги 21-
сонли Қарори. 6. Ўзбекистон Республикаси Олий Суди Пленумининг 2000 – йил 15-сентябрдаги Вояга
етмаганларнинг жиноятлари ҳақидаги ишлар бўйича суд амалиёти тўғрисидаги 21-
сонли Қарори. 7. Ўзбекистон Республикаси Олий Суди Пленумининг 2007-йил 14-ноябрдаги “Судлар
томонидан амнистия актларини қўллашнинг айрим масалалари тўғрисида”ги 17-сонли
Қарори. 7. Ўзбекистон Республикаси Олий Суди Пленумининг 2007-йил 14-ноябрдаги “Судлар
томонидан амнистия актларини қўллашнинг айрим масалалари тўғрисида”ги 17-сонли
Қарори. 8. Ўзбекистон Республикаси Олий Суди Пленумининг, 2004-йил 23-май “Суд ҳукми
тўғрисида”ги 07-сонли Қарори. 8. Ўзбекистон Республикаси Олий Суди Пленумининг, 2004-йил 23-май “Суд ҳукми
тўғрисида”ги 07-сонли Қарори. 8. Ўзбекистон Республикаси Олий Суди Пленумининг, 2004-йил 23-май “Суд ҳукми
тўғрисида”ги 07-сонли Қарори. 9. Ўзбекистон Республикаси Олий Суди Пленумининг, 2009-йил 10-апрелдаги “Суд
ҳужжатларини бажаришдан бўйин товлаш ва уларнинг ижро этилишига тўсқинлик
қилиш учун жиноий жавобгарликка доир қонунларни қўллашнинг айрим масалалари
тўғрисида”ги 7-сонли Қарори. 9. Ўзбекистон Республикаси Олий Суди Пленумининг, 2009-йил 10-апрелдаги “Суд
ҳужжатларини бажаришдан бўйин товлаш ва уларнинг ижро этилишига тўсқинлик
қилиш учун жиноий жавобгарликка доир қонунларни қўллашнинг айрим масалалари
тўғрисида”ги 7-сонли Қарори. 10. Ўзбекистон Республикаси Олий суди Пленумининг 2007 йил 14 ноябрдаги 15-сонли
“Умрбод озодликдан маҳрум қилиш тариқасидаги жазони қўллашнинг айрим
масалалари тўғрисида”ги қарори 8-бандининг иккинчи ва учинчи хатбошилари. 10. Ўзбекистон Республикаси Олий суди Пленумининг 2007 йил 14 ноябрдаги 15-сонли
“Умрбод озодликдан маҳрум қилиш тариқасидаги жазони қўллашнинг айрим
масалалари тўғрисида”ги қарори 8-бандининг иккинчи ва учинчи хатбошилари. Volume 2 Issue 4, April 2022 ISSN 2181-2020
Page 482 Volume 2 Issue 4, April 2022 ISSN 2181-2020 Page 482 Дарслик ва ўқув қўлланмалар: 1. М.Х.Рустамбаев. Ўзбекистон Республикаси Жиноят ҳуқуқи курси. Том 2. “Жазо
ҳақида таълимот”. Дарслик. 2-нашр, тўлдирилган ва қайта ишланган. – Т.: “Комплех
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йил 205-бет. 1. М.Х.Рустамбаев. Ўзбекистон Республикаси Жиноят ҳуқуқи курси. Том 2. “Жазо
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йил 205-бет. 2. Рустамбоев М.Ҳ. Ўзбекистон Республикаси Жиноят кодексига шарҳлар. Умумий қисм. – Т.: “Адолат”, 2016. 2. Рустамбоев М.Ҳ. Ўзбекистон Республикаси Жиноят кодексига шарҳлар. Умумий қисм. – Т.: “Адолат”, 2016. 3. Рустамбоев М.Ҳ. Ўзбекистон Республикаси Жиноят ҳуқуқи курси. “Жазо тўғрисида
таълимот”. Умумий қисм. – Т.: “ИЛМ ЗИЁ”, 2011-й. 4. Тургунбоев Э.О. Жиноят ҳуқуқи. (Умумий қисм) (Албомлар схемаси) – Т.: “Мунис
десигн гроуп” 2013-йил. 99-бет. 5. Ўзбекистон Республикаси Жиноят кодекси, илмий-амалий шарҳлар Ўзбекистон
Республикаси ИИВ Академияси. – Т.: “Адолат”. 1997-йил. 6. Жиноят ҳуқуқи (дарслик). Ўзбекистон Республикаси ИИВ Академияси, Т.: 2012-йил. 295-б. 7. А.С.Якубов, Р.Кабулов. Ўзбекистон Республикасининг Жиноят ҳуқуқи (чизмалар
албоми). Ўзбекистон Республикаси ИИВ Академияси, Т.: 2014-йил. 123-124-бетлар. 8. Jung, Heike, Heribert Ostendorf Wolfgang Schild u. a.: STGB: Kommentar zum
Strafgesetztbuch: BAND 3: && 80-145 d. Reihe Alternativkommentar. 1983 j. Комиссаров. В. С. “Уголовный право” РФ, - Москва, 2012 года. – С. 58. 10. Уголовный кодекс РФ с комментариями и изменениями. (Обшая часть УК РФ) -
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Innovative Academy Research Support Center 11. Спиридонов, Анастас Павлович Угаловнои право Российский Федерации правовая
глобализация влияние и соотношение, 2006 года. Даврий нашр ва журналлар: 1. Ўзбекистон Республикаси ИИВ Академиясининг Ахборотномаси. –
Тошкент, 2014. - № 4. 2. Ўзбекистон Республикаси Олий суди ахборотномаси. – Тошкент, 2015. - № 1. Il
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l l 2. Ўзбекистон Республикаси Олий суди ахборотномаси. – Тошкент, 2015. - № 1. Барсукова С.Г. Условно-досрочное освобождение от отбывания наказания по
российскому законодательству. Автореф. дисс. ... канд. юр. наук. – Самара, 2000. – С.11–
12. 2. Малин П.М. Уголовно-правовые и уголовно исполнительные проблемы условно-
досрочного освобождения от отбывания наказания в виде лишения свободы. Атореф. дисс. … канд. юр. наук. – Рязань, 2000. – С.8.,13.; 3. Евтушенко И.И. Условно-досрочное освобождение осужденных к лишению
свободы и их ресоциализация: Монография. –Волгоград, 2005. С. 42.; 4. Носенко А. М. Условно-досрочное освобождение от лишения свободы. Автореф. дисс. ... канд. юр. наук. – Киев, 1993. Volume 2 Issue 4, April 2022 ISSN 2181-2020
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Development of a Real-Time qPCR Assay for Quantification of Covert Baculovirus Infections in a Major African Crop Pest
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insects
ISSN 2075-4450
www.mdpi.com/journal/insects/
OPEN ACCESS insects
ISSN 2075-4450
www.mdpi.com/journal/insects/
OPEN ACCESS Insects 2015, 6, 746-759; doi:10.3390/insects6030746
insects
ISSN 2075-4450
www.mdpi.com/journal/insects/
Article
Development of a Real-Time qPCR Assay for Quantification of
Covert Baculovirus Infections in a Major African Crop Pest
Robert I. Graham 1,†,*, Yamini Tummala 1, Glenn Rhodes 2, Jenny S. Cory 3, Alan Shirras 4,
David Grzywacz 5 and Kenneth Wilson 1
1 Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK;
E-Mails: yaminitummala@gmail.com (Y.T.); ken.wilson@lancaster.ac.uk (K.W.)
2 Lake Ecosystems Group, Centre for Ecology and Hydrology, Bailrigg, Lancaster LA1 4AP, UK;
E-Mail: glenn@ceh.ac.uk
3 Department of Biological Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;
E-Mail: jsc21@sfu.ca
4 Biomedical and Life Sciences, Lancaster University, Lancaster LA1 4YQ, UK;
E-Mail: a.shirras@lancaster.ac.uk
5 Natural Resources Institute, University of Greenwich, Chatham Maritime, Kent ME4 4TB, UK;
E-Mail: d.grzywacz@greenwich.ac.uk
† Current address: Crop and Environment Sciences, Harper Adams University, Edgmond,
Shropshire TF10 8NB, UK.
* Author to whom correspondence should be addressed; E-Mail: rgraham@harper-adams.ac.uk.
Academic Editor: Brian T. Forschler
Received: 23 April 2015 / Accepted: 19 August 2015 / Published: 25 August 2015
Abstract: Many pathogens and parasites are present in host individuals and populations
without any obvious signs of disease. This is particularly true for baculoviruses infecting
lepidopteran hosts, where studies have shown that covert persistent viral infections are
almost ubiquitous in many species. To date, the infection intensity of covert viruses has
rarely been quantified. In this study, we investigated the dynamics of a covert baculovirus
infection within the lepidopteran crop pest Spodoptera exempta A real time quantitative
OPEN ACCESS Insects 2015, 6, 746-759; doi:10.3390/insects6030746 1. Introduction Diseases can be an important factor in the population dynamics of insect pests of agricultural
importance as well as being useful model systems for exploring host pathogen interactions. Among the
most important insect crop pests are the species of Lepidoptera such as Spodoptera spp. and
Heliothis/Helicoverpa spp. which are globally important crop pests whose conventional control is
challenging due to their ability to develop resistance to chemical pesticides. The viral insect diseases
caused by Baculoviruses, double-stranded DNA virus [1] are among the most studied and have been
developed for both classical biological control and as biological pesticides. These viruses are
characterised by having the infectious virions embedded in proteinaceous occlusion bodies (OB) adapted
for persistence in the environment and classical horizontal transmission between susceptible hosts [2]. With advances in molecular biology, it has become evident that for many insect viral pathogens
(including baculoviruses) the ability to cause persistent non-lethal covert infections within their hosts
that are capable of being transmitted from parent to offspring is an important characteristic in the ecology
of the virus [3–14]. Persistent infections are believed to exist in one of two forms: either as a latent infection in which the
virus is non-replicating and transcriptional activity is minimal; or as an infection in which the virus is
transcriptionally active and replication occurs at a low level, as widely accepted to occur in baculovirus
systems studied to date [5–8]. The precise mechanism by which covert viruses persist in cells of infected
insects without causing cell death remains unclear. Studies have shown that when larvae are subjected
to periods of stress (such as poor diet, crowding, or the presence of other pathogens), covert infections
may be triggered into lethal overt infections that produce OBs for subsequent horizontal transmission
(e.g., [4,15]). However, the various protocols for triggering covert viruses have proved inherently
unreliable and unrepeatable indicating that our fundamental knowledge of this phenomenon is deficient
and that we have much to learn about the dynamics and behaviour of non-persistent infections and their
role in the ecology of lepidopteran populations, especially those of economic and agricultural importance. The larval stage of the African armyworm moth, Spodoptera exempta (Lepidoptera: Noctuidae), is a
devastating cyclical and migratory crop pest of maize, wheat, sorghum, and other staple crops in a large
part of sub-Saharan Africa [16]. High-density outbreaks of armyworm caterpillars typically exceed
densities of 100–200 larvae per m2. Insects 2015, 6 Insects 2015, 6 peaking in early larval instars and being lowest in adults and final-instar larvae. Adult
dissections indicated that, contrary to expectation, viral load aggregation was highest in the
head, wings and legs, and lowest in the thorax and abdomen. The data presented here have
broad implications relating to our understanding of transmission patterns of baculoviruses
and the role of covert infections in host-pathogen dynamics. Keywords: Spodoptera exempta; baculovirus; nucleopolyhedrovirus; covert infections;
TaqMan real-time qPCR Keywords: Spodoptera exempta; baculovirus; nucleopolyhedrovirus; covert infections;
TaqMan real-time qPCR Robert I. Graham 1,†,*, Yamini Tummala 1, Glenn Rhodes 2, Jenny S. Cory 3, Alan Shirras 4,
David Grzywacz 5 and Kenneth Wilson 1 1 Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK;
E-Mails: yaminitummala@gmail.com (Y.T.); ken.wilson@lancaster.ac.uk (K.W.) 1 Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK;
E-Mails: yaminitummala@gmail.com (Y.T.); ken.wilson@lancaster.ac.uk (K.W.) 2 Lake Ecosystems Group, Centre for Ecology and Hydrology, Bailrigg, Lancaster LA1 4AP, UK;
E-Mail: glenn@ceh.ac.uk 2 Lake Ecosystems Group, Centre for Ecology and Hydrology, Bailrigg, Lancaster LA1 4AP, UK;
E-Mail: glenn@ceh.ac.uk 3 Department of Biological Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;
E-Mail: jsc21@sfu.ca 3 Department of Biological Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;
E-Mail: jsc21@sfu.ca 4 Biomedical and Life Sciences, Lancaster University, Lancaster LA1 4YQ, UK;
E-Mail: a.shirras@lancaster.ac.uk 5 Natural Resources Institute, University of Greenwich, Chatham Maritime, Kent ME4 4TB, UK;
E-Mail: d.grzywacz@greenwich.ac.uk 5 Natural Resources Institute, University of Greenwich, Chatham Maritime, Kent ME4 4TB, UK;
E-Mail: d.grzywacz@greenwich.ac.uk † Current address: Crop and Environment Sciences, Harper Adams University, Edgmond,
Shropshire TF10 8NB, UK. * Author to whom correspondence should be addressed; E-Mail: rgraham@harper-adams.ac.uk. Academic Editor: Brian T. Forschler * Author to whom correspondence should be addressed; E-Mail: rgraham@harper-adam Received: 23 April 2015 / Accepted: 19 August 2015 / Published: 25 August 2015 Abstract: Many pathogens and parasites are present in host individuals and populations
without any obvious signs of disease. This is particularly true for baculoviruses infecting
lepidopteran hosts, where studies have shown that covert persistent viral infections are
almost ubiquitous in many species. To date, the infection intensity of covert viruses has
rarely been quantified. In this study, we investigated the dynamics of a covert baculovirus
infection within the lepidopteran crop pest Spodoptera exempta. A real-time quantitative
polymerase chain reaction (qPCR) procedure using a 5' nuclease hydrolysis (TaqMan)
probe was developed for specific detection and quantification of Spodoptera exempta
nucleopolyhedrovirus (SpexNPV). The qPCR assay indicated that covert baculovirus
dynamics varied considerably over the course of the host life-cycle, with infection load 747 2.2. Overt Baculovirus Provenance Spodoptera exempta nucleopolyhedrovirus (SpexNPV) was collected from a single larval cadaver in
central Tanzania in 2008 and isolated using standard centrifugation techniques, as previously described [23]. The concentration of SpexNPV occlusion bodies (OBs) of each virus preparation was measured using a
Neubauer Improved haemocytometer, with replicated samples taken twice at two dilutions. Viral DNA
was extracted as described in Graham et al. [24]. Briefly, OBs were lysed by addition of 0.5 M Na2CO3,
0.1% SDS and incubated for 2 h at 37 °C with proteinase K (200 mg/mL). DNA was purified by
phenol/chloroform extraction, dialysed in 1× TE buffer, and stored at 4 °C until required. Insects 2015, 6 748 Insects 2015, 6 S. exempta nucleopolyhedrovirus (SpexNPV) are prevalent in natural populations [17] and SpexNPV
has been known to cause up to 98% mortality in some natural populations, though infection levels
are highly variable and generally much lower than this [16,21]. While it has been shown that covert
infections occur in SpexNPV and it is hypothesised that they play an important role in the seasonal
population cycle [8], very little is known about the population dynamics of the covert form of this
baculovirus or how the switch from covert to overt infection is initiated. One hypothesis that has been
proposed is that covert infections need to reach a certain threshold intensity or viral load before they can
be triggered into overt infections. Greater insight into this process could be a key to better understanding
of the dynamics of SpexNPV and thus to better prediction of pest outbreaks and to an understanding of
how to manipulate the host pathogen system to reduce pest outbreaks and crop damage. Here, we report on the design and implementation of a real-time qPCR technique allowing the
assessment of covert baculovirus infections within both larval and adult forms of the host moth. Specifically,
the qPCR assay was used to: (i) quantify the dynamics of covert SpexNPV infections over the course of
host development; (ii) determine the principal body parts harbouring covert infections; and (iii) track the
replication dynamics of an orally-induced overt infection. Assessing these three parameters allowed us
to quantify the infection intensity (viral load) dynamics of asymptomatic covert infections, evaluate
hypotheses of covert to overt triggering and thereby significantly furthering our knowledge of
host-pathogen interactions within this major agricultural crop pest. 2.1. Culture of S. exempta 2.1. Culture of S. exempta The Spodoptera exempta laboratory culture was collected from central Tanzania in January 2011, and
maintained on standard culture protocol on a wheatgerm diet [8,22] at 24 °C under a 12 h light/dark
cycle. Insects used for experiments were at least two generations under laboratory conditions. 1. Introduction The adult moth is highly migratory, and most armyworm outbreaks
are characterized as single-generation eruptions [16]. S. exempta harbours a baculovirus exhibiting both
overt horizontal [17,18] and covert vertical [8,19,20] transmission strategies. Overt infections of Insects 2015, 6 Insects 2015, 6 (Qiagen Ltd., Crawley, UK), according to the manufacturer’s instructions. DNA quantification was
undertaken using a Nanodrop2000 Spectrophotometer (ThermoScientific, Willimington, DE, USA). DNA quality was assessed by testing the 260/280 nm ratio readings during the quantification process,
and amplifying the S. exempta mitochondrial cytochrome oxidase I (COI) gene, using universal primers
LCO-1490 and HCO-1298 [25]. (Qiagen Ltd., Crawley, UK), according to the manufacturer’s instructions. DNA quantification was
undertaken using a Nanodrop2000 Spectrophotometer (ThermoScientific, Willimington, DE, USA). DNA quality was assessed by testing the 260/280 nm ratio readings during the quantification process,
and amplifying the S. exempta mitochondrial cytochrome oxidase I (COI) gene, using universal primers
LCO-1490 and HCO-1298 [25]. 2.4. Real-Time Quantitative PCR (qPCR) Conceptual considerations and nomenclature for real-time qPCR were carried out and reported here
in accordance with the MIQE guidelines [26]. Primer Express software (v3.0; Applied Biosystems,
Warrington, UK) was used to design primers and the hydrolysis (Taqman, Thermo Fisher Scientific,
Warrington, UK) probe specific to the SpexNPV polyhedrin gene in the Tanzania isolate (Accession
number JX488468). The forward primer (P1) sequence 5'-CCCGTGTACGTAGGAAACAACA-3',
reverse primer (P2) 5'-CAACCGCCGCCCTTCT-3' and hydrolysis probe (TaqMan) 5'-6FAM-CGAGTA
CCGCATCAGCCTGGCC-TAMRA-3' amplified a 62 bp region of the SpexNPV polyhedrin gene. To
check for target specificity in silico, the viral polyhedrin sequence and the primer sequences were
compared with sequences published on NCBI GenBank database, using the online basic local alignment
search tool (BLAST). A perfect match along the entire length of the primers was found only for the
polyhedrin target gene sequence. Template DNA (5 µL) was used in 25 µL reactions containing 12.5 µL 2× TaqMan Universal
PCR Master Mix (P/N 4304437, Life Technologies, UK) and 0.4 µM each of primers P1 and P2
(P/N 4304972, Life Technologies, UK) and hydrolysis probe (P/N 450003, Life Technologies, UK, UK). Reactions were run on an ABI Prism 7000 SDS machine (Applied Biosystems) in triplicate, using
a thermal cycling program consisting of an initial denaturation step at 95 °C for 10 min, followed by
40 cycles of 95 °C for 15 s and 60 °C for 60 s. For each qPCR assay, a standard curve was constructed using 10-fold serial dilutions of viral
genomes, originally isolated from pure NPV OBs (range, 5–5 × 106 viral genomes); and each dilution
was processed in triplicate on the same 96-well PCR plate with the samples. SpexNPV genome size
was determined from a complete viral-genome sequence (genome size of 129.5 Kbp; Escasa and Cory,
unpublished data [27]). Negative controls (“no template controls” NTC; water instead of template DNA)
were included in all reactions. Data were analysed using Sequence Detection Software (v1.2.3) 7000
(Applied Biosystems, Warrington, UK) and SpexNPV viral loads were reported as number of viral
genomes per µg of total DNA. Only standard curves in which the regression coefficients of
determination (R2) exceeded 0.990 were considered sufficiently accurate for determination of persistent
virus levels. PCR efficiency was calculated using the equation, Efficiency = −1 + 10(−1/slope) [28]. 2.3. Total Genomic DNA Extraction from Insects All insects used in this study were sourced from the laboratory culture where there was no history of
viral contamination or spontaneous outbreaks. However, to remove any potential contaminants from our
samples (such as surface pathogens, including NPV OBs), insects used for DNA extraction were
surfaced-sterilised using 10% hypochlorite solution, and then washed twice in 70% ethanol. Total
genomic DNA was extracted from whole armyworm adults and larvae using the DNA/RNA Allprep Kit 749 2.7. Baculovirus Dynamics Following SpexNPV Ingestion Newly-moulted 4th-instar larvae (L4) were allowed to ingest a diet-plug (n = 27 larvae per treatment)
treated with either distilled H2O (control) or 1 × 104 SpexNPV OBs. After 24 h, larvae that had eaten all
the diet-plug and virus were transferred to individual polypots (30 mL) containing artificial diet. Larvae
were kept at 24 °C and checked every 24 h thereafter. A subset of larvae from both treatment groups
was sacrificed at each 24 h time-point to monitor baculovirus dynamics. 3.1. Analytical Sensitivity of the qPCR Assay Serial 10-fold dilutions of purified SpexNPV DNA were used to produce a qPCR standard curve and
determine the cut-off value for the assay. The assay was shown to be reproducible (r2 > 0.990) and
amplified polyhedrin across a seven log serial dilution range with an efficiency of 99.5% (Figure S1,
supplementary material). The most reliable and repeatable limit of detection (LOD) was equivalent to
5 viral genome copies of SpexNPV (approximate Cq of 39). 2.6. Localisation of SpexNPV Infection within Body Regions of Adult Moths Twenty-four adult moths were randomly selected from our laboratory culture and dissected into
five body parts (abdomen, thorax, head, legs, and wings) under a Leica MZ7.5 stereo microscope
(Leica, Milton Keynes, UK). Total genomic DNA was isolated from each individual body region, and
qPCR undertaken to investigate viral load within specific body parts (groups of three individuals were
pooled in order to provide sufficient DNA for quantitation). 2.5. Covert Virus Dynamics during S. exempta Development Three pairs of 2nd generation laboratory adults were used to establish a time-course experiment to
investigate covert-virus dynamics over host development. Mated females laid eggs for 2–3 days and
were then frozen for subsequent analysis. Eggs were placed in 30 mL polypots containing artificial diet. When neonates emerged, approximately 30 insects per pair were individually reared in 30 mL diet pots
at 24 °C. Four individuals per pair were sacrificed after 4, 6, 8, 10, and 12 days post hatch, and stored at Insects 2015, 6 750 Insects 2015, 6 −20 °C in 100% ethanol. Total DNA from insects was extracted as above, and TaqMan qPCR used to
investigate SpexNPV load. Head capsule widths were recorded as an additional function of larval age. 2.6. Localisation of SpexNPV Infection within Body Regions of Adult Moths 3.2. Covert SpexNPV Dynamics during Host Developmental Cycle To determine whether SpexNPV viral load changed over the course of host developmental cycle, a
time-course experiment was established in which S. exempta larvae were sacrificed at specific time-points
from the egg stage through to adult maturity (Figure 1a). All insects used in this study were asymptomatic
for SpexNPV infection, with no overt viral mortality observed during the experiment. One larva with a
very high covert viral load was excluded from the analysis due to undue leverage, however removal of
this outlier did not qualitatively alter the results and improved the model fit. Covert viral load was found
to vary widely over the course of S. exempta development (up to 104-fold). The highest viral copy number
was observed at L2 and L3, with 3349 ± 881 copies/µg DNA and 8180 ± 6953 copies/µg DNA,
respectively (n = 12, each). Adults (86.5 ± 25.4 copies/µg DNA; n = 6) and L5 larvae (65.0 ± 13.7 copies/µg
DNA; n = 24) produced the lowest viral readings. The viral load was higher in egg and neonate stages
then there was a decline in viral load as the larva grew post hatching with a linear decline in viral load
from 1st instar neonates to 5th instar larvae (Linear regression: viral load = 2.27 – 5.79 × instar;
R2 = 0.64; F1,59 = 106.1, p < 0.0001; Figure 1b), and a quadratic relationship between viral load and 751 3.3. Localisation of Baculovirus in Adult Moths To determine whether the covert baculovirus was systemic or localised in particular body tissues,
adult moths were dissected into five regions (abdomen, thorax, head, legs, and wings). There was a highly
significant difference between the body regions in the amount of SpexNPV detected (ANOVA: F4,34 = 8.03,
p = 0.0001; R2 = 0.49; Figure 2). Post hoc Fisher’s least significant difference tests indicated that covert
viral loads were significantly higher in the head, legs and wings (log10(mean) ± S.E. = −3.780 ± 0.140)
than in the abdomen and thorax (−2.084 ± 0.239). Figure 2. Covert SpexNPV DNA levels in different body regions of adult S. exempta moths. Means ± S.E. are shown. Different letters above the error bars indicate means that are
significantly different according to Fisher’s least significant difference test. Figure 2. Covert SpexNPV DNA levels in different body regions of adult S. exempta moths. Means ± S.E. are shown. Different letters above the error bars indicate means that are
significantly different according to Fisher’s least significant difference test. Insects 2015, 6 Insects 2015, 6 Insects 2015, 6 capsule width (viral load = 2.23 – 5.20 × head-capsule + 1.50 × head-capsu
p < 0.0001; Figure 1c). e 1. Covert SpexNPV DNA as measured in asymptomatic insects sampled
neonates, and 4, 6, 8, 10 and 12 days post egg hatch. SpexNPV load as a fu
e (days post-hatch); (B) larval instar (1st to 5th); and (C) head capsule wid
the curve shown is the smoothing spline through the raw data. In (B,C)
sion lines are shown. larval head-capsule width (viral load = 2.23 – 5.20 × head-capsule + 1.50 × head-capsule2; R2 = 0.61;
F2,56 = 43.3, p < 0.0001; Figure 1c). Figure 1. Covert SpexNPV DNA as measured in asymptomatic insects sampled as adults,
eggs, neonates, and 4, 6, 8, 10 and 12 days post egg hatch. SpexNPV load as a function of
(A) age (days post hatch); (B) larval instar (1st to 5th); and (C) head capsule width (mm) Figure 1. Covert SpexNPV DNA as measured in asymptomatic insects sampled as adults,
eggs, neonates, and 4, 6, 8, 10 and 12 days post egg hatch. SpexNPV load as a function of
(A) age (days post-hatch); (B) larval instar (1st to 5th); and (C) head capsule width (mm). In (A) the curve shown is the smoothing spline through the raw data. In (B,C) the linear
regression lines are shown. Insects 2015, 6 Insects 2015, 6 752 3.4. Baculovirus Dynamics Following Oral Ingestion Using qPCR to track an orally-induced overt infection allowed us to monitor the progress of infection,
and give an insight into the dynamics and magnitude of overt baculoviral disease in comparison to
covert infections. To quantify the dynamics of viral replication during an overt infection, early L4 larvae
were fed 1 × 104 SpexNPV OBs. Baculovirus dynamics were monitored throughout the infection
process and compared to control larvae that were not inoculated with virus (Figure 3). Initial background
covert readings at day 0 (before treatment) were 589 ± 83 (mean ± S.E.) SpexNPV copies/µg DNA. Throughout larval development, control larvae had on average 4.1 ± 1.9 × 103 copies/µg DNA, with
viral load being a quadratic function of time post-infection, declining slightly towards the end of the
larval instar (Linear regression: Viral load = 3.17 − 0.70 × Time – 2.55 × Time2; R2 = 0.41; F2,24 = 8.17,
p = 0.002). In contrast, in larvae inoculated with SpexNPV viral load increased asymptotically
between one and three days post infection to reach an average of 1.3 ± 0.8 × 1010 copies/µg DNA
(Viral load = 8.27 + 15.32 × Time – 9.01 × Time2; R2 = 0.88; F2,23 = 87.35, p < 0.0001), with viral load
increasing asymptotically with larval age. 753 Insects 2015, 6 Insects 2015, 6 Figure 3. Dynamics of SpexNPV genome replication following ingestion of 104 OBs
(treated) and dH2O (control). The lines are the fitted Gompertz curves (see text for details). Figure 3. Dynamics of SpexNPV genome replication following ingestion of 104 OBs
(treated) and dH2O (control). The lines are the fitted Gompertz curves (see text for details). Arguably, a better way to describe the SpexNPV dynamics of infected larvae is to fit a Gompertz
function to the data: f(x) = a × exp(–b × exp(−k × x)). When this non-linear growth function was fitted
to the infection data, the parameter estimates (+ S.E.) for a, b and k were as follows: Control larvae:
a = 3.213 + 0.135, b = 0.149 + 0.156, k = 2.849 + 0.843; SpexNPV-treated larvae: a = 10.286 + 0.325,
b = 1.963 + 0.371, k = 1.144 + 0.193. Only the asymptote parameter, a, was significantly different from
zero for the model describing SpexNPV dynamics in control larvae, whereas all three model parameters
were statistically significant for the dynamics in virus-treated larvae, consistent with viral replication in
these insects. 3.4. Baculovirus Dynamics Following Oral Ingestion All SpexNPV-treated larvae had died by the final time-point, remaining largely
asymptomatic until 5 days post infection. 4. Discussion The aim of this study was to produce and validate a reliable qPCR methodology to quantify the
dynamics of covert baculovirus infections within the lepidopteran host, Spodoptera exempta. To achieve
this, we developed a specific real-time qPCR detection assay using a hydrolysis (TaqMan) probe,
for fast and successful quantitation of SpexNPV. Covert infections are widespread in insect systems,
and baculovirus persistent infections have long been thought to be prevalent in lepidopterans
(for example, [17]). Their existence has been used to explain the widely observed phenomena of the
appearance of occurrence of overt infection in healthy populations [29] and the finding of heterologous
viral progeny after oral-infection with baculoviruses [4,30–34]. Traditional methods for NPV detection
include phase-contrast microscopy, homogenization and staining of insect tissues. This requires
specialized skills, is not very sensitive or species specific, and can only be used to detect virus in samples Insects 2015, 6 Insects 2015, 6 754 with fairly high viral loads, such as infected larvae. Molecular methods now present an opportunity to
develop much more sensitive tools for virus detection, such as this new qPCR method. In our host-development study, covert viral load appeared to peak in early instar larvae (0, 4 and
6 days post hatch), and then decrease markedly with larval age, specifically after 8 days post hatch,
by which time the larvae had entered larval-stage L4. In an assessment of the closely related
Spodoptera exigua host-NPV system, Murillo et al. [9] used a SYBRgreen qPCR assay. They reported
high covert viral loads at L1 and L3, with lower viral levels at later instars, pupae and adults, concluding
that the host may be suppressing infection during these later life-stages. It should be noted that in our
study we have looked at “number of viral genomes per µg DNA” whereas Murillo et al. [9] looked at
pg DNA. This should be noted when comparing different published studies. In common with many other
Spodoptera species, S. exempta is a phase-polyphenic species [22], and it is at L4 stage that the cuticular
colour differentiation becomes most obvious. It is possible that this cuticular colour change (from green
to a black melanic form) and the accumulation of melanin and other immune-associated factors [35,36]
could be driving the reduction in viral loads; thus density-dependent prophylaxis (DDP) may directly
impact upon covert virus dynamics, with dark melanic forms of larvae having lower viral loads. Indeed,
Vilaplana et al. 4. Discussion [20] showed that in larva from parents reared under solitary conditions, and so which
did not show DDP, the viral infection was more prevalent than those from parents reared gregariously. This is consistent with a finding in the field, where covert viral loads were lower in populations of very
high larval density [21]. The insects in our current study were reared individually (and therefore DDP
per se would not be a factor), but individual cuticular melanisation remains a consideration. When S. exempta larvae were subjected to a superinfection via ingestion of SpexNPV OBs, rapid
replication of SpexNPV occurred within 24–48 h post infection (the number of virus genomes increased
approximately 106-fold). This indicated rapid virus replication, despite larvae remaining largely
asymptomatic for a further 72 h. At this stage of our investigations, it is not clear whether the viral
replication was due to the ingested virus only, replication of covert virus only, or a combination of the
two. It is possible that the covert NPV infection was triggered into rapid replication somehow by the
challenge of ingested NPV [4,30–34]. Further investigation whereby S. exempta larvae are fed
heterologous virus (one that is not detected by this qPCR assay) could resolve the nature of covert virus
dynamics when challenged by a competing pathogen. Vilaplana et al. [8] demonstrated that persistent infections of SpexNPV were common in S. exempta
field populations of larvae collected from a small geographical area in northern Tanzania. The detection
of virus in adult moths is considered particularly important due to the fact that adults cannot be directly
infected by baculoviruses, nor are they thought to support extensive (if any) viral replication [37]. Therefore, detection here of SpexNPV in the adult life stage validates a key assumption of the hypothesis
of vertical transmission of the virus. Interestingly, our results on the location of virus in covertly infected
adult body parts are perhaps contrary to what one might expect: the virus was found in all the body parts
tested and not restricted to specific locations or organs. In a viral species adapted to vertical transmission,
one would expect high viral loads within the reproductive organs (found in the host abdomen) but in this
study, the highest loads were found not in the abdomen but in the wings, head and legs. Insects 2015, 6 755 Insects 2015, 6 Insects 2015, 6 artefact of DNA isolation, with perhaps different body parts having more PCR inhibitory chemicals for
which we did not test, although the protocol was undertaken to ensure these would be kept to a minimum. In future experiments, diluting samples 10-, 100- or even 1000-fold before qPCR could enable us to test
for possible contaminants. In addition, despite the specificity and sensitivity of our SpexNPV polyhedrin
primers, we cannot completely rule out the possibility that highly similar and not yet discovered viruses
also could be recognized. As discussed by Krokene et al. [38], targeting additional genes in the virus
genome of interest would make the qPCR method more robust and reduce the chance of detecting highly
similar viruses. In a wider context, baculoviruses present an interesting model system to study due to the presence of
what appears to be two transmission strategies (horizontally transmitted, highly pathogenic; and
vertically transmitted, seemingly asymptomatic). In the armyworm system, it may be the specific
dynamics of the host populations that selects for the occurrence of these two different viral transmission
strategies. Armyworm populations alternate during the year between many outbreaks with high
populations of gregarious armyworms in the rainy seasons when food is abundant and very low density
solitary populations in the dry season when food is scarce. Persistent covert asymptomatic virus strains
are most likely the superior competitors (as compared to the highly pathogenic horizontally-transmitted
variants) during the dry season (approximately 6 months of the year in Tanzania) when host population
densities are extremely low and dispersed [39]. However, when conditions change and high density host
populations appear and become suitable for horizontal transmission of the virus, a persistent virus that
can reactivate into an overt-infection will become most competitive. To date, modelling approaches
suggest that persistent infections could create a variety of host dynamics: from host-pathogen cycles to
endemic persistent interactions, whereby the healthy individuals are lost from the host system [40–43]. The high prevalence of covert virus infection found in field populations of S. exempta (>97%, [21])
suggests that the populations studied to date are close to such an endemic fixation in which virus-free
insects have been lost. At present it is not known how long covert infections can persist in a population, although assays on
field-collected S. exempta show that they can persist for at least seven generations maintaining 100%
infection prevalence [8]. 4. Discussion As yet, we are
unsure why this may be, but possibly it is due to virus accumulation in areas of high chitin concentration,
or areas of lower haemolymph levels (resulting in the virus being exposed to a reduced immune
challenge). However, at this stage we cannot rule out the possibility that the differences are due to an Insects 2015, 6 Thus we might expect baculovirus variants that produce covert infections to be
adapted in some way to vertical transmission, such as by showing reduced pathogenicity. There is
some recent evidence from Spodoptera exigua NPV that supports this supposition [44], and that
vertical-adapted variants may be produced (i.e., variants that only undertake covert transmission). To date we cannot be sure of the precise nature of the covert infection in S. exempta, other than to note
that the 62 bp amplified region detected by this qPCR assay is identical to overt-SpexNPV sequence
data (Genbank accession number JX488468), and differs over the same region from polyhedrin in
Spodoptera frugiperda at only 2 positions (see accession number KC845532). More research on the
genetics of covert infections is required to determine the relationship of covert and overt variants, as the
qPCR amplicon is too short to attain any meaningful phylogenetic data. However, a previous study
investigating SpexNPV covert infections using the lef-8 gene sequence, Vilaplana et al. [8] did observe
minor nucleotide variation between covert and overt infections. Thus, it is possible that covert infections
of SpexNPV may be restricted to a few closely related variants; or several very different genotypes, as
observed in overt SpexNPV populations [18]. Elucidating this issue would help us to understand the Insects 2015, 6 756 Insects 2015, 6 potential for wider use of the current qPCR assay or modifications of it for allelic discrimination assays
or the use of high resolution melting (HRM) analysis. Acknowledgments This work was supported by a grant from the Sustainable Agriculture Research for International
Development (SARID) programme, funded by the United Kingdom’s Biotechnology and Biological
Sciences Research Council (BBSRC) and the Department for International Development (DfID). The
views expressed are not necessarily those of DfID or BBSRC. We are extremely grateful for the support
and assistance of the Tanzanian Ministry of Agriculture, Food and Cooperatives, to Mr Wilfred
Mushobozi for field assistance, and to Phill Nott for technical expertise. 5. Conclusions In conclusion, we present a qPCR assay that allows the investigation of covert baculovirus dynamics
within a lepidopteran host, in this case the African armyworm, S. exempta. From an applied perspective,
the existence of covert and sub-lethal infections in pest populations may open up interesting new options
for the implementation of biological pest control programs, given that covert infection can be transmitted
to their offspring, which in turn may be more likely to succumb to patent NPV disease following
application of viral biopesticide [20]. As a result, the role of covert infections could be an important
consideration when managing biological pest control programs. Author Contributions Kenneth Wilson, Jenny S. Cory, David Grzywacz and Alan Shirras conceived the original research
idea; Robert I. Graham and Kenneth Wilson designed the current experiments; Robert I. Graham and
Yamini Tummala performed the experiments; Kenneth Wilson, Robert I. Graham, Yamini Tummala
and Glenn Rhodes analysed the data; Robert I. Graham, Kenneth Wilson, Glenn Rhodes, Jenny S. Cory,
Alan Shirras and David Grzywacz wrote the paper. Conflicts of Interest The authors declare no conflict of interest. The funding sponsors had no role in the design of the
study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the
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of covert infections in host-microparasite interactions. J. Anim. Ecol. 2003, 72, 1064–1072. 41. Jones, E.O.; White, A.; Boots, M. Interference and the persistence of vertically transmitted parasites. J. Theor. Biol. 2007, 246, 10–17. 42. Sorrell, I.; White, A.; Pedersen, A.B.; Hails, R.S.; Boots, M. The evolution of covert, silent infection
as a parasite strategy. Proc. R Soc. Lond. B 2009, 276, 2217–2226. 43. Bonsall, M.B.; Sait, S.M.; Hails, R.S. Invasion and dynamics of covert infection strategies in
structured insect-pathogen populations. J. Anim. Ecol. 2005, 74, 464–474. 44. Cabodevilla, O.; Villar, E.; Virto, C.; Murillo, R.; Williams, T.; Caballero, P. Intra- and intergenerational
persistence of an insect Nucleopolyhedrovirus: Adverse effects of sublethal disease on host development,
reproduction, and susceptibility to superinfection. Appl. Environ. Microbiol. 2011, 77, 2954–2960. © 2015 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/4.0/). © 2015 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/4.0/). © 2015 by the authors; licensee MDPI, Basel, Switzerland. Insects 2015, 6 This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution license
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DEVELOPMENT OF NOVEL (THIO)UREA ORGANOCATALYSTS FOR RING OPENING POLYMERIZATION OF CYCLIC LACTONES
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DEVELOPMENT OF NOVEL (THIO)UREA ORGANOCATALYSTS FOR
DEVELOPMENT OF NOVEL (THIO)UREA ORGANOCATALYSTS FOR
RING OPENING POLYMERIZATION OF CYCLIC LACTONES
RING OPENING POLYMERIZATION OF CYCLIC LACTONES
Nayanthara Dharmaratne
U i
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Dharmaratne, Nayanthara, "DEVELOPMENT OF NOVEL (THIO)UREA ORGANOCATALYSTS FOR RING
OPENING POLYMERIZATION OF CYCLIC LACTONES" (2020). Open Access Dissertations. Paper 1152. https://digitalcommons.uri.edu/oa_diss/1152 University of Rhode Island
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Open Access Dissertations
2020
DEVELOPMENT OF NOVEL (THIO)UREA ORGANOCATALYSTS FOR
DEVELOPMENT OF NOVEL (THIO)UREA ORGANOCATALYSTS FOR
RING OPENING POLYMERIZATION OF CYCLIC LACTONES
RING OPENING POLYMERIZATION OF CYCLIC LACTONES
Nayanthara Dharmaratne
University of Rhode Island, nayantaradharmaratne@gmail.com Open Access Dissertations Recommended Citation
Recommended Citation
Dharmaratne, Nayanthara, "DEVELOPMENT OF NOVEL (THIO)UREA ORGANOCATALYSTS FOR RING
OPENING POLYMERIZATION OF CYCLIC LACTONES" (2020). Open Access Dissertations. Paper 1152.
https://digitalcommons.uri.edu/oa_diss/1152 This Dissertation is brought to you by the University of Rhode Island. It has been accepted for inclusion in Open
Access Dissertations by an authorized administrator of DigitalCommons@URI. For more information, please
contact digitalcommons-group@uri.edu. For permission to reuse copyrighted content, contact the author directly. DOCTOR OF PHILOSOPHY DISSERTATION OF
NAYANTHARA U. DHARMARATNE DEVELOPMENT OF NOVEL (THIO)UREA ORGANOCATALYSTS FOR RING
OPENING POLYMERIZATION OF CYCLIC LACTONES. BY
NAYANTHARA U. DHARMARATNE ABSTRACT Amidst multiple catalysts for ROP, H-bonding organocatalysts stand out in the precise
level of reaction control they are able to render during ROP. The H-bonding class of
organocatalysts are thought to effect ROP via dual activation of both monomer and chain
end. The only drawback of these class of catalysts is the low activity shown despite their
high selectivity towards ROP. A new class of H-bond donating ureas was developed for the ring-opening polymerization
(ROP) of lactone monomers to address this problem of low activity. The most active of
these new catalysts, a tris-urea H-bond donor, is among the most active organocatalysts
known for ROP, yet it retains the high selectivity of H-bond mediated organocatalysts. The
urea cocatalyst, along with an H-bond accepting base, exhibits characteristics of a “living”
ROP, is highly active, in one case, accelerating a reaction from days to minutes, and
remains active at low catalyst loadings. To understand the structure function relationship of the multi H-bonding (thio)ureas, a
series of conformationally flexible bis(thio)urea H-bond donors plus base cocatalyst were
applied to the ring-opening polymerization of lactones. The rate of the ROP displays a
strong dependence upon the length and identity of the tether, where a circa five methylene-
unit long tether exhibits the fastest ROP. The developing urea class of H-bond donors and the discovery of Triclocarban as a
commericially available efficient catalysts for ROP, facilitates the solvent-free ROP of
lactones at ambient and elevated temperatures, displaying enhanced rates and control
versus other known organocatalysts for ROP under solvent-free conditions. One-pot block copolymerizations of lactide and valerolactone, which had previously been inaccessible in
solution phase organocatalytic ROP, can be achieved under these reaction conditions, and
one-pot triblock copolymers are also synthesized. For the ROP of lactide, however,
thioureas remain the more effective H-bond donating class. For all (thio)urea catalysts
under solvent-free conditions and in solution, the more active catalysts are generally more
controlled. copolymerizations of lactide and valerolactone, which had previously been inaccessible in
solution phase organocatalytic ROP, can be achieved under these reaction conditions, and
one-pot triblock copolymers are also synthesized. For the ROP of lactide, however,
thioureas remain the more effective H-bond donating class. For all (thio)urea catalysts
under solvent-free conditions and in solution, the more active catalysts are generally more
controlled. ABSTRACT With the discovery of multi H-bonding (thio)urea that is highly efficient and effective
towards ROP, a novel bis-(thio)urea catalysts was developed as an enantio-selective chiral
catalysts. This catalysts not only shows high stereoselectivity at mild conditions, but also
show faster rates for the polymerization of rac-LA forming stereoblock PLA with precise
control in molecular weight and enhanced thermal properties. ACKNOWLEDGEMENT I’d like to thank my parents, husband and the rest of my family for their constant support
and motivation throughout my education career. I would like to thank Prof. Matthew Kiesewetter, for his endless encouragemet, continuous
flow of projects that kept me busy and productive, his guidance and most of all for
believing in me even more than I believed in my self. A big thank you to my committee members for their support in making this process smooth. I would also like to thank the past and present members in the Kiesewetter lab for making
the work environment a place I look forward coming in to everyday, and for the continuous
support. Thank you to the rest of the chemistry graduate community and the Department of
Chemistry and Graduate school at the University of Rhode Island for all the support. -Nayanthara U. Dharmaratne iv iv PREFACE This dissertation is written in Manuscript Format. issertation is written in Manuscript Format. Chapter 1 : A review article that links the latest mechanistic advancements in H-bonding
(thio)urea catalyst systems, in carrying out ROPs of cyclic lactones under have been
presented. (Org. Biomol. Chem., 2019,17, 3305-3313) Chapter 2 : A combined experimental and computational investigation of hydrophobicity
trend for oxygen containing functional groups commonly found in monomers and
polymers have been presented. Analytical experiments for this study was conducted by
Prof. Rob Mathers. Synthesis of oligomers and polymers for the study were conducted by
me. (Macromolecules. 2018, 51(21), 8461-8468) Chapter 3: A study which reports the development of multi H-bond donating catalyst
systems to perform ROP has been reported. Polymerization of lactide with these catalysts
and studies on small molecule transformations were performed by me. (ACS Macro Lett. 2016, 5 (8), 982-986.). Chapter 4: Structure function relationship, by varying tether lengths of bis-(thio)urea
catalysts has been reported. The relationship between acidity of thioureas and its activity
in ROP of lactide was studied by me. (Macromolecules. 2019, 52(23), 9232-9237). v v Chapter 5: A study where a commercially available urea – triclocarban was discovered
for its efficient catalytic activity in ROP of cyclic lactones in non-polar and polar solvents
has been reported. (ACS Macro Lett. 2017, 6 (4), 421-425) Chapter 6: Application of (thio)urea catalyst systems under solvent-free conditions has
been reported. Polymerizations of lactide under solvent free conditiond were conducted by
me that revealed the activity of these catalysts at high temperatures. (Macromolecules
2017, 50 (22), 8948-8954) Chapter 7: The study reports the activity of (thio)urea catalysts at high temperatures and
reveals different factors such as solvent, identity of co-catalysts that determine the activity
of these catalysts at high temperature. Studies with lactide were conducted by me. (Macromolecules. 2018, 51(24), 10121-10126). Chapter 8: The study reports the development of a novel chiral bis-thiourea catalysts for
enantioselective ROP of rac-LA. Preliminary catalysts screening was conducted by Oleg
Kazakov. The manuscript is in progress. vi TABLE OF CONTENTS ABSTRACT………………………………………………………………………….......ii
ACKNOWLEDGEMENTS…………………………………………………………….iv
PREFACE………………………………………………………………………………..v
TABLE OF CONTENTS……………………………………………………………….vii
LIST OF TABLES……………………………………………………………………..viii
LIST OF SCHEMES………………………………..……………………………….......x
LIST OF FIGURES………………………………………………………………...…...xi
CHAPTER 1……………………………………………………………………………...1
CHAPTER 2…………………………………………………………………………….30
CHAPTER 3………………………………………………………………………….....69
CHAPTER
4…………………………………………………………………………........................126
CHAPTER 5…………………………………………………………………………...175
CHAPTER 6…………………………………………………………………………...219
CHAPTER 7…………………………………………………………………………...264
CHAPTER 8…………………………………………………………………………...317 vii vii Table Table
Page
Table 2.1. Summation of hydrophobicity trends for small molecules and polymers…...55
Table 3.1. MTBD and 1-S, 2-S or 3-S catalyzed ROP of VL and CL ……….…….…...89
Table 3.2. 1-O, 2-O or 3-O and MTBD cocatalyzed ROP of lactones. ………….……...90
Table 3.3. Transesterification of Ethyl Acetate………………………………………….91
Table 3.4. Low 3-O/MTBD Cocatalyst Loadings in the ROP of VL……………………92
Table 3.5. Solvent Screen in the 3-O/MTBD Cocatalyzed ROP of VL……….…………93
Table 3.6. Post-polymerization Transesterification in 3-O/MTBD Cocatalyzed ROP….94
Table 4.1. Bis(thio)urea plus MTBD cocatalyzed ROP of VL.…………………..……..149
Table 4.2. Bis(thio)urea and MTBD cocatalyzed ROP of VL ………………..….……..150
Table 4.3. Bis(thio)urea Plus MTBD cocatalyzed ROP of VL in Acetone-d6 and Solvent-
free conditions ………………………………..…………………………….151
Table 4.4. ROP of VL or CL cocatalyzed by MTBD plus Bisureas with heteroatom-
containing tethers.……………………………………………...…………...152
Table 4.5. ROP of VL cocatalyzed by MTBD plus Bisthioureas with heteroatom-
containing tethers…………………………………………………………...153
Table 4.6. Bis(thio)urea and Me6TREN cocatalyzed ROP of L-LA.…………………..154
Table 4.7. Mono(thio)urea and Me6TREN cocatalyzed ROP of L-LA ………………..155
Table 5.1. MTBD and TCC Catalyzed ROP of VL and CL ………………….…….….199
Table 5.2. Urea or Thiourea Plus MTBD Cocatalyzed ROP of VL in Acetone ………200
Table 5.3. Triclocarban Plus BEMP Cocatalyzed ROP of VL and CL ………………….201 viii Table 5.4. Chain Length Variation for the TCC or di-CC plus MTBD cocatalyzed ROP of
VL ……………………………………………………………………..…...202
Table 5.5. Solvent Screen of TCC/MTBD cocatalyzed ROP of VL…………………...202
Table 5.6. Chain Length Variation for the TCC/MTBD cocatalyzed ROP of VL in acetone-
d6. ……………………………………………………………………………203
Table 6.1. TCC plus base cocatalyzed ROP of VL…………………………………….243
Table 6.2. H-bond donor plus base cocatalyzed ROP of VL…………………………..244
Table 6.3. TCC plus base cocatalyzed ROP of macrolactones………………………...245
Table 6.4. H-bond Mediated Solvent-free ROP of L-LA………………………………246
Table 6.5. Solvent free ROP of VL with TCC/BEMP…………………………………247
Table 6.6. TCC plus MTBD or BEMP cocatalyzed ROP of CL……………….……...247
Table 6.7. Base Screen in the 2-S Mediated ROP of L-LA………………………….…248
Table 7.1. Activation Parameters for H-bond Donor/MTBD Cocatalyzed ROP of CL..284
Table 7.2. Thermal Decomposition of H-bond Donors with and without MTBD……..285
Table 7.3. Mn and Mw/Mn for polymerizations conducted at 80°C…………………….286
Table 8.1. Polymerization of rac-LA at room temperature …………………………....349
Table 8.2. Polymerization of rac-LA at -15o C………………………………………...349 ix LIST OF SCHEMES Scheme
Page
Scheme 1.1. H-bonding versus Imidate Mediated ROP of Lactones…………………...25
Scheme 1.2. Proposed activation pathway of covalently linked bifunctional thiourea in
ROP of LA………………………………………………………………..25
Scheme 1.3. Bifunctional activation of monomer and initiator/chain end by TBD….…26
Scheme 1.4. Equilibrium between neutral versus imidate TCC with base……………..26
Scheme 1.5. ROP of epoxides and thiourea mediated conversion of alkoxide to alcohol
and thioimdate for the ROP of lactones…………………………………..27
Scheme 2.1. Comparison of sulfur-based functional groups with ether and ketone
analogues………………………………………………………………….56
Scheme 3.1. Highly active and highly selective H-bond donor 3-O…………………….95
Scheme 3.2. Proposed mechanism for 3-O/MTBD catalyzed ROP……………………..95
Scheme 4.1. Neutral H-bond versus imidate mediated ROP of VL…………………...155
Scheme 5.1. Proposed mechanism for TCC/base cocatalyzed ROP…………………..203
Scheme 6.1. Mechanism for the urea or thiourea plus base cocatalyzed ROP………...249
Scheme 8.1. Mechanism of catalysis…………………………………………………...350 x LIST OF FIGURES Figures
Page
Figure 1.1. Strength of cocatalyst binding is predictive of catalytic activity…………...28
Figure 1.2. Representative (thio)ureas in red and proposed activated-TU mode activation
for multi-donors…………………………………………………………….28
Figure 1.3. Monomer activation by activated-3-O and intramolecular deactivation of 3-S. ………………………………………………………………………………29
Figure 1.4. The thiourea/base mediated ROP of lactones slows in polar solvent while
urea/base mediated ROP remain active……………………………………..29
Figure 2.1. UV/Vis spectroscopy data for absorbance (lmax) of Nile Red in molecules with
oxygen-containing functional groups……………………………………….56
Figure 2.2. Computational octanol-water partition coefficients (LogPoct) for cyclic and
tricyclic monomers………………………………………………………….57
Figure 2.3. Correlation between experimental HPLC retention times and computational
LogPoct values normalized by surface area………………………………….58
Figure 2.4. UV/Vis spectroscopy data for solvatochromatic behavior of Nile Red
comparing a) cyclic carbonates, esters, and anhydrides with the corresponding
acyclic molecule and b) evaluation of functional groups with and without vinyl
groups. Lower lmax values indicate more hydrophobicity…………………..59
Figure 2.5. Comparison of hydrophobicity values for a) ethers and acetals and b) acetals,
esters, and carbonates versus number of monomer units……………………60 xi Figure 2.6. UV/Vis spectroscopy data for solvatochromatic behavior of Nile Red
comparing oligomers of PVL and PCL……………………………………..61
Figure 2.7. Electronic effect of benzene reduced the gap between carbonate and anhydride
functional groups……………………………………………………………62
Figure 2.8. Comparison of hydrophobicity values for polyesters with different C:O ratios. ...…………………………………………………………………………….63
Figure 2.9. Contact angle of static drop on Teflon coated septa and Restek butyl rubber
septa for liquid carbonates and anhydrides………………………………….64
Figure 2.10. TGA data and first derivative for PCL……………………………………..65
Figure 2.11. TGA data and first derivative for PVL……………………………………..66
Figure 2.12. Differential scanning calorimetry data for PCL……………………………67
Figure 2.13. Differential scanning calorimetry data for PVL…………………………...68
Figure 3.1. Base and (thio)urea cocatalysts evaluated for ROP……………………….96
Figure 3.2. Mn versus conversion for the 2-S/MTBD catalyzed ROP of VL………….96
Figure 3.3. First order evolution of [VL] versus time for the 2-S/MTBD catalyzed ROP
of VL………………………………………………………………………97
Figure 3.4. Mn versus [VL]o/[I]o for the 2-S/MTBD catalyzed ROP of VL…………..97
Figure 3.5. GPC traces of the polymer resulting from the 2-S/MTBD cocatalyzed ROP
and subsequent chain extension of VL (from 1-pyrenebutanol……………98
Figure 3.6. Observed rate constant versus [MTBD] in the 2-S/MTBD catalyzed ROP of
VL…………………………………………………………………………99
Figure 3.7. Observed rate constant versus [MTBD] in the 2-S/MTBD catalyzed ROP of
CL…………………………………………………………………………99 xii xii Figure 3.8. Mn vs conversion of VL for the 3-O/MTBD catalyzed ROP of VL………100
Figure 3.9. First order evolution of [VL] vs time for the 3-O/MTBD catalyzed ROP of
VL………………………………………………………………………..100
Figure 3.10. LIST OF FIGURES Mn vs conversion for the 3-O/MTBD catalyzed ROP of CL……………..101
Figure 3.11. First order evolution of [CL] vs time for the 3-O/MTBD catalyzed ROP of
CL………………………………………………………………………..101
Figure 3.12. First order evolution of [CL] and [VL] vs time for the 3-O/MTBD catalyzed
copolymerization of CL………………………………………………….102
Figure 3.13. GPC traces of the polymer resulting from the 3-O/MTBD cocatalyzed ROP
and subsequent chain extension of CL from 1-pyrenebutanol………….102
Figure 3.14. Observed rate constant (kobs, min-1) vs [3-O] in the 3-O/MTBD catalyzed
ROP of VL……………………………………………………………….103
Figure 3.15. DFT B3LYP//6-31G** geometry optimized structures of 3-S……………104
Figure 3.16. DFT B3LYP//6-31G** geometry optimized structures of 3-O……………104
Figure 3.17. MALDI-TOF of the PLA resulting from ROP of L-LA………………….105
Figure 3.18. 1H NMR spectra of 1-O, 2-O, and 3-O………………………………….106
Figure 3.19. 1H NMR (300 MHz, DMSO-d6) of 2-O…………………………………..107
Figure 3.20. 13C NMR (75 MHz, DMSO-d6) of 2-O……………………………………108
Figure 3.21.1H NMR (300 MHz, DMSO-d6) of 1-[3,5-bis(trifluoromethyl)phenyl
thiourea]-3-aminopropane………………………………………………...109
Figure 3.22. 1H NMR (300 MHz, DMSO-d6) of 2-OS………………………………….110
Figure 3.23. 13C NMR (75 MHz, acetone-d6) of 2-OS………………………………….111
Figure 3.24. 1H NMR (300 MHz, acetone-d6) of 3-O…………………………………..112 xiii Figure 3.25. 13C NMR (75 MHz, acetone-d6) of 3-O…………………………………..113
Figure 3.26. 1H NMR (300 MHz, acetone-d6) of 3-S…………………………………..114
Figure 3.27. 13C NMR (75 MHz, acetone-d6) of 3-S…………………………………...115
Figure 4.1. Mono(thio)urea, bis(thio)urea donors evaluated and proposed activated-
thiourea mode activation for bis-(thio)urea H-bond donors………………156
Figure 4.2. Mn and Mw/Mn versus conversion for the H-bond donor plus MTBD
cocatalyzed ROP of VL using 2-S5 and 2-O5………………………….…156
Figure 4.3. Proposed activated (thio)urea anion mechanism for the bisurea plus MTBD
mediated ROP of VL……………………………………………………...157
Figure 4.4. 1H NMR spectra of 2-O5 plus MTBD in acetone-d6……………………..157
Figure 4.5. First order evolution of VL versus time for the 2-O5/MTBD catalyzed ring-
opening polymerization of VL……………………………………………158
Figure 4.6. Mn and Mw/Mn versus conversion for 2-O5 catalyst…………………..….158
Figure 4.7. Mn and Mw/Mn versus conversion for 2-O5-O catalyst…………………...159
Figure 4.8. Mn and Mw/Mn versus conversion for 2-S5, Mn versus conversion for 2-O5
catalyst……………………………………………………………………159
Figure 4.9. 1 H NMR spectra of 2-O5-O and 2-S5-O with and without Me6TREN in
acetone- d6………………………………………………………………..160
Figure 4.10. NMR spectrum of (2-O2)……………………………………………….161
Figure 4.11. NMR spectrum of (2-O4)……………………………………………….162
Figure 4.12. NMR spectrum of (2-O5)……………………………………………….163
Figure 4.13. NMR spectrum of (2-O6)……………………………………………….164
Figure 4.14. NMR spectrum of (2-O12)…………………………………………..….165 xiv Figure 4.15. NMR spectrum of (2-O5-N)…………………………………………….166
Figure 4.16. NMR spectrum of (2-O5-O)…………………………………………….167
Figure 4.17. NMR spectrum of (2-O3-diMe)…………………………………………168
Figure 4.18. NMR spectrum of (2-S4)………………………………………………...169
Figure 4.19. NMR spectrum of (2-S5)………………………………………………...170
Figure 4.20. LIST OF FIGURES NMR spectrum of (2-S6)………………………………………………...171
Figure 4.21. NMR spectrum of (2-S12)…………………………………………….....172
Figure 4.22. NMR spectrum of (2-S5-N)……………………………………………...173
Figure 4.23. NMR spectrum of (2-S5-O)…………………………...………………...174
Figure 5.1. Base and (thio)urea cocatalysts evaluated for ROP………………………204
Figure 5.2. First order evolution of VL vs time for the TCC/MTBD catalyzed ring-
opening polymerization of VL……………………………………………204
Figure 5.3. Mn and Mw/Mn vs conversion for the TCC/MTBD catalyzed ring-opening
polymerization of VL……………………………………………………..205
Figure 5.4. GPC traces of the polymers resulting from the chain extension experiment of
VL………………………………………………………………………...205
Figure 5.5. First order evolution of CL vs time for the TCC/MTBD catalyzed ring-
opening polymerization of CL……………………………………………206
Figure 5.6. Mn and Mw/Mn catalyzed ring-opening polymerization of CL……......…..206
Figure 5.7. Approach to equilibrium evolution of [VL] vs time for the TCC/MTBD
catalyzed ring-opening polymerization of VL……………………………207
Figure 5.8. Mn and Mw/Mn vs conversion for the TCC/MTBD catalyzed ring-opening
polymerization of VL……………………………………………………..207 xv Figure 5.9. GPC traces of the polymers resulting from the chain extension of PVL in
acetone………………………………………………………………….208
Figure 5.10. Mn and Mw/Mn vs conversion for the TCC/BEMP catalyzed ring-opening
polymerization of VL………………………………………………….209
Figure 5.11. GPC traces of the polymers resulting from the chain extension
experiment of VL……………………………………………………...209
Figure 5.12. First order evolution of [L-LA] vs time for the TCC/Me6TREN catalyzed
ring-opening polymerization…………………………………………..210
Figure 5.13. Mn and Mw/Mn vs conversion for the TCC/Me6TREN catalyzed ring-
opening polymerization of L-LA………………………………………211
Figure 5.14. MALDI-TOF of the PLLA resulting from TCC/Me6TREN cocatalyzed
ROP of L-lactide……………………………………………………...212
Figure 5.15. Titration binding curve for the CL/1-O binding in benzene-d6………213
Figure 5.16. Titration binding curve for the CL/1-S binding in benzene-d6……….213
Figure 5.17. Methine region of the methyl-decoupled 1H NMR spectrum of PLLA
obtained via TCC/Me6TREN cocatalyzed ROP of L-LA…………….214
Figure 5.18. First order evolution of [VL] vs time for the di-CC/MTBD catalyzed
ROP of VL……………………………………………………………215
Figure 5.19. NMR spectrum of mono-CC………………………………………...216
Figure 5.20. NMR spectrum of di-CC………………………………………….....217
Figure 5.21. 1H NMR spectra of TCC plus base in acetone-d6…………………….218
Figure 6.1. First order evolution of [monomer] versus time and Mn and Mw/Mn versus
conversion for the TCC/MTBD co catalyzed ROP of VL…………..250 xvi Figure 6.2. RI and UV GPC traces of the ROP initiated from pyrenebutanol for PVL
(TCC/BEMP) and PLA (2-S/PMDTA)………………………….................251
Figure 6.3. First order evolution of [monomer] versus time; and Mn and Mw/Mn versus
conversion for the TCC/BEMP co catalyzed ROP of VL…………………..252
Figure 6.4. LIST OF FIGURES First order evolution of [monomer] versus time and Mn and Mw/Mn versus
conversion for the TCC/BEMP co catalyzed ROP of CL………………….253
Figure 6.5. Percent conversion to polymer of VL solutions of MTBD, BEMP and TCC
plus benzyl alcohol at -10°C and room temperature……………………….254
Figure 6.6. Solvent-free ROP allows for the direct-from-monomer creation of a negative
mold………………………………………………………………………..255
Figure 6.7. 400 MHz 1H NOESY in acetone-d6 of TCC/MTBD and TCC/BEMP)…..256
Figure 6.8. Mn and Mw/Mn vs conversion for the TCC/BEMP co catalyzed ROP of
EB………………………………………………………………………….257
Figure 6.9. First order evolution of [LA] vs time, and Mn and Mw/Mn vs conversion...258
Figure 6.10. First order evolution of [LA] vs time for the 2-S/PMDTA cocatalyzed ROP
LA………………………………………………………………………..259
Figure 6.11. First order evolution of [VL] and [CL] vs time for the one-pot
copolymerization catalyzed by TCC/BEMP…………………………….260
Figure 6.12. First order evolution of [monomer] vs time for the copolymerization of
EB………………………………………………………………………..261
Figure 6.13. NMR of poly(VL-co-CL-co-EB)…………….…………………………..262
Figure 6.14. First order evolution of [monomer] vs time for the copolymerization of VL
and L-LA…………………………………………………………………263 xvii Figure 6.15. Percentage conversion of EB vs time for the copolymerization of: VL, CL
and EB…………………………………………………………………263
Figure 7.1. H-bonding and imidate mediated ROP of CL………….………………287
Figure 7.2. Eyring plots for the ROP of CL from benzyl alcohol in toluene catalyzed by
TCC/MTBD, and 2-O/MTBD…………………………………………288
Figure 7.3. Eyring plot for the TCC/MTBD cocatalyzed ROP of CL from benzyl alcohol
in toluene and MIBK solvent……………………………………………289
Figure 7.4. Eyring plot for the solvent-free ROP of LA from benzyl alcohol catalyzed by
2-S/PMDETA……………………………………………………………289
Figure 7.5. Mn and Mw/Mn versus conversion plot for the 3-O/MTBD cocatalyzed ROP of
CL from benzyl alcohol in toluene at 110°C…………………………….290
Figure 7.6. Temperature drop ROP of CL……………………………………………291
Figure 7.7. 1H NMR spectra of TCC/MTBD cocatalyst in the presence of varying [CL] in
CDCl3…………………………………………………………………….292
Figure 7.8. Eyring plot constructed from the linear portion of the observed first order rate
constants for the 2-S/MTBD co catalyzed ROP of CL in toluene………..293
Figure 7.9. Eyring plot constructed from the linear portion of the observed first order rate
constants for the 1-O/MTBD co catalyzed ROP of CL in toluene………..293
Figure 7.10. Eyring plot constructed from the linear portion of the observed first order
rate constants for the TCC/MTBD co catalyzed ROP of CL in toluene….294
Figure 7.11. Eyring plot constructed from the linear portion of the observed first order
rate constants for the 1-S/MTBD co catalyzed ROP of CL in toluene……294 xviii Figure 7.12. LIST OF FIGURES Eyring plot constructed from the linear portion of the observed first order
rate constants for the 3-S/MTBD co catalyzed ROP of CL in toluene…...295
Figure 7.13. Eyring plot constructed from the linear portion of the observed first order
rate constants for the 2-O/MTBD co catalyzed ROP of CL in toluene…..295
Figure 7.14. Eyring plot constructed from the linear portion of the observed first order
rate constants for the 3-O/MTBD co catalyzed ROP of CL in toluene…..296
Figure 7.15. Eyring plot constructed from the linear portion of the observed first order
rate constants for the TCC/DBU co catalyzed ROP of CL in toluene…..296
Figure 7.16. Eyring plot constructed from the observed first order rate constants for the
TCC/MTBD cocatalyzed ROP of CL from benzyl alcohol in toluene…..297
Figure 7.17. Eyring plot constructed from the observed first order rate constants for the 2-
O/MTBD cocatalyzed ROP of CL from benzyl alcohol in toluene……....297
Figure 7.18. Eyring plot constructed from the observed first order rate constants for the 1-
S/MTBD cocatalyzed ROP of CL from benzyl alcoholat 1M, 2M and 3M
concentrations in toluene…………………………………………………298
Figure 7.19. Eyring plot constructed from the observed first order rate constants for the 2-
S/PMDETA cocatalyzed ROP of L-LA from benzyl alcohol in methyl
isobutyl ketone……………………………………………………………299
Figure 7.20. Eyring plot constructed from the observed first order rate constants for the
TCC/MTBD cocatalyzed ROP of CL from benzyl alcohol in methyl isobutyl
ketone………………………………………………….………………….300 xix Figure 7.21. Eyring plot constructed from the observed first order rate constants for the 1-
S/MTBD cocatalyzed ROP of CL from benzyl alcohol in methyl isobutyl
ketone……………………………………………………………………..300
Figure 7.22. Eyring plot constructed from the observed first order rate constants for the 2-
S/MTBD cocatalyzed ROP of CL from benzyl alcohol in methyl isobutyl
ketone……………………………………………………………………..301
Figure 7.23. Eyring plot constructed from the observed first order rate constants for the 2-
O/MTBD cocatalyzed ROP of CL from benzyl alcohol in methyl isobutyl
ketone……………………………………………………………….…….301
Figure 7.24. Eyring plot constructed from the observed first order rate constants for the 3-
O/MTBD cocatalyzed ROP of CL from benzyl alcohol in methyl isobutyl
ketone……………………………………………………………………..302
Figure 7.25. Eyring plot constructed from the observed first order rate constants for the 1-
O/MTBD cocatalyzed ROP of CL from benzyl alcohol in methyl isobutyl
ketone……………………………………………………………………..302
Figure 7.26. Eyring plot constructed from the observed first order rate constants for the
TCC/MTBD cocatalyzed ROP of CL from benzyl alcohol in benzene…..303
Figure 7.27. LIST OF FIGURES First order evolution of [CL] versus time for the TCC/MTBD cocatalyzed
ROP of CL from benzyl alcohol in toluene at 110°C…………………….303
Figure 7.28. First order evolution of [CL] versus time for the 1-O/MTBD cocatalyzed
ROP of CL from benzyl alcohol in toluene at 110°C…………………….304
Figure 7.29. First order evolution of [CL] versus time for the 1-S/MTBD cocatalyzed
ROP of CL from benzyl alcohol in toluene at 110°C……………………304 xx xx Figure 7.30. First order evolution of [CL] versus time for the 2-S/MTBD cocatalyzed
ROP of CL from benzyl alcohol in toluene at 80°C…………………...…305
Figure 7.31. First order evolution of [CL] versus time for the 3-S/MTBD cocatalyzed
ROP of CL from benzyl alcohol in toluene at 110°C…………………….305
Figure 7.32. First order evolution of [CL] versus time for the 2-O/MTBD cocatalyzed
ROP of CL from benzyl alcohol in toluene at 110°C…………………….306
Figure 7.33. First order evolution of [CL] versus time for the 3-O/MTBD cocatalyzed
ROP of CL from benzyl alcohol in toluene at 110°C…………………….306
Figure 7.34. First order evolution of [CL] versus time for the TCC/DBU cocatalyzed
ROP of CL from benzyl alcohol in toluene at 110°C…………………….307
Figure 7.35. First order evolution of [CL] versus time for the TCC/MTBD cocatalyzed
ROP of CL from benzyl alcohol toluene at 110°C……………………….307
Figure 7.36. First order evolution of [CL] versus time for the 2-O/MTBD ROP of CL
from benzyl alcohol in toluene at 110°C…………………………………308
Figure 7.37. First order evolution of [CL] versus time for the 1-S/MTBD cocatalyzed
ROP of CL from benzyl alcohol in toluene at 110°C…………………….308
Figure 7.38. First order evolution of [CL] versus time for the 1-S/MTBD cocatalyzed ROP
of CL from benzyl alcohol in toluene at 110°C……………………………309
Figure 7.39. First order evolution of [CL] versus time for the 1-S/MTBD cocatalyzed
ROP of CL from benzyl alcohol in methyl isobutyl ketone at 110°C……310
Figure 7.40. First order evolution of [CL] versus time for the TCC/MTBD cocatalyzed
ROP of CL from benzyl alcohol in methyl isobutyl ketone at 110°C……310 xxi Figure 7.41. First order evolution of [CL] versus time for the 2-S/MTBD cocatalyzed
ROP of CL from benzyl alcohol methyl isobutyl ketone at 60°C..………311
Figure 7.42. First order evolution of [CL] versus time for the 2-O/MTBD cocatalyzed
ROP of CL from benzyl alcohol in methyl isobutyl ketone at 110°C……..311
Figure 7.43. LIST OF FIGURES First order evolution of [CL] versus time for the 1-O/MTBD cocatalyzed
ROP of CL from benzyl alcohol in methyl isobutyl ketone at 110°C……..312
Figure 7.44. First order evolution of [CL] versus time for the 3-O/MTBD cocatalyzed
ROP of CL from benzyl alcohol in methyl isobutyl ketone at 110°C……312
Figure 7.45. First order evolution of [CL] versus time for the TCC/MTBD cocatalyzed
ROP of CL from benzyl alcohol in benzene at 110°C……………………313
Figure 7.46. Mn and Mw/Mn versus conversion plot for 1-S at 80°C……………………314
Figure 7.47. Mn and Mw/Mn versus conversion plot for 1-S at 110°C…………………...314
Figure 7.48. Mn and Mw/Mn versus conversion plot for 1-S at 110°C………………….315
Figure 7.49. Mn and Mw/Mn Versus Conversion plot for 2-O at 110°C………………….315
Figure 7.50. Mn and Mw/Mn Versus Conversion plot for 2-O at 90°C………………….316
Figure 7.51. Mn and Mw/Mn versus conversion plot for 2-O at 90°C……………………316
Figure 8.1. Microstructures of PLA formed by the polymerization of rac-LA…………350
Figure 8.2. Mechanisms of stereocontrolled ROP………………………………………351
Figure 8.3. Thioureas and bases used in this study………………………………………351
Figure 8.4. First order plots for the polymerization of D-LA, rac-LA and L-LA with TU1
and TU8 with Me6TREN…………………………………………………352
Figure 8.5. First order plots for the polymerization of D-LA, rac-LA and L-LA respectively
with TU1/ BEMP…………………………………………………………...352
Figure 8.6. RI and UV GPC traces of the PLA initiated by 1-pyrenebutanol…..…..….353 xxii xxii Figure 8.7. Mn and Mw/Mn catalyzed ring-opening polymerization of rac-LA………353
Figure 8.8. MALDI-TOF of the PLA resulting from TU1/Me6TREN cocatalyzed ROP of
rac-LA………………………………..……………………………………..354
Figure 8.9. Homonuclear decoupled 1H NMR spectrum of the methine region of PLA...354
Figure 8.10. DSC thermograms of PLA…………………………………………………355
Figure 8.11. DSC thermograms of PLA…………………………………………………355
Figure 8.12. HPLC chromatograms of L-LA, D-LA. rac-LA and the unreacted monomer at
47 % monomer conversion……………………………………………….356
Figure 8.13. Downfield portion of 1 H NMR spectra of TU1-TU4 with and without
Me6TREN in CH2Cl2……………………………………………………..357
Figure 8.14. NMR spectrum of TU1…………………………………………..……….358
Figure 8.15. NMR spectrum of TU2…………………………………………..……….359
Figure 8.16. NMR spectrum of TU3…………………………………………..……….360
Figure 8.17. NMR spectrum of TU5…………………………………………..……….361
Figure 8.18. NMR spectrum of TU6…………………………………………..……….362
Figure 8.19. NMR spectrum of TU7…………………………………………..……….363
Figure 8.20. NMR spectrum of TU9…………………………………………..……….364 …353 xxiii MANUSCRIPT – I Submitted for publication to Organic & Biomolecular Chemistry INTRODUCTION Organocatalysis for polymer synthesis has come to be synonymous with the construction
of precisely tailored materials through the ring-opening polymerization (ROP) of esters,
carbonates and other cyclic monomers.1–10 While organocatalysts have gained a beachhead
in the synthesis of other polymers,11 a host of organic systems for transesterification
polymerization have been developed. 1,2,12–17 The purview of organocatalysts for
polymerization are ‘living’ ROP. A living ROP is a type of chain growth polymerization
characterized by the lack of chain transfer and termination events – a kinetic definition.18 Organocatalysis for polymer synthesis has come to be synonymous with the construction
of precisely tailored materials through the ring-opening polymerization (ROP) of esters,
carbonates and other cyclic monomers.1–10 While organocatalysts have gained a beachhead Organocatalysis for polymer synthesis has come to be synonymous with the construction
of precisely tailored materials through the ring-opening polymerization (ROP) of esters,
carbonates and other cyclic monomers.1–10 While organocatalysts have gained a beachhead
in the synthesis of other polymers,11 a host of organic systems for transesterification
polymerization have been developed. 1,2,12–17 The purview of organocatalysts for
polymerization are ‘living’ ROP. A living ROP is a type of chain growth polymerization
characterized by the lack of chain transfer and termination events – a kinetic definition.18
A controlled, ‘living’, polymerization is one that features predictable molecular weights
(Mn) and molecular weight distributions close to unity (dispersity= Ð = Mw/Mn) and are
capable of yielding polymers with well-defined architectures.1,2,12 The selectivity of
catalysts towards ROP versus non-enchainment reactions is vital to minimizing the
molecular weight distribution.1,2,12,19,20 Additionally, functional group tolerance,1,2,21–24
activity of catalysts under a wide range of temperatures 11,25–29 and pressure, 30,31 and a
variety of solvents and solvent-free conditions32 facilitate the implementation of diverse
reaction conditions which facilitates advanced polymer design. A controlled, ‘living’, polymerization is one that features predictable molecular weights
(Mn) and molecular weight distributions close to unity (dispersity= Ð = Mw/Mn) and are
capable of yielding polymers with well-defined architectures.1,2,12 The selectivity of
catalysts towards ROP versus non-enchainment reactions is vital to minimizing the
molecular weight distribution.1,2,12,19,20 Additionally, functional group tolerance,1,2,21–24
activity of catalysts under a wide range of temperatures 11,25–29 and pressure, 30,31 and a
variety of solvents and solvent-free conditions32 facilitate the implementation of diverse
reaction conditions which facilitates advanced polymer design. Among the various catalysts for ROP, H-bonding organocatalysts stand out in the precise
level of reaction control they are able to render during ROP. ABSTRACT Among the various catalysts for ROP, H-bonding organocatalysts stand out in the
precise level of reaction control they are able to render during ROP. The H-bonding class
of organocatalysts are thought to effect ROP via dual activation of both monomer and chain
end. (Thio)urea mediated ROP has experienced a renaissance as a new polymerization
mechanism – mediated by imidate or thioimidate species – facilitates new modes of
reactivity and new synthetic abilities. Indeed, the urea class of H-bond donors have shown
to be more active than their corresponding thioureas. The imidate mechanism remains
highly active in polar solvents and exhibits remarkable control – and ‘living’ behavior -
under solvent-free conditions, and a broad range of temperatures is accessible. The
advancements in synthetic abilities have all evolved through a greater understanding of
reaction mechanism. Through the continued synergistic advances of catalysis and material,
the (thio)urea class of catalyst can find use in a host of potential applications, research and
industrial environments. 2 INTRODUCTION The (thio)urea H-bonding
class of organocatalysts are thought to effect ROP via dual activation of both monomer and
chain end, Scheme 1.1.1,2,12,33 In this approach, a typical catalyst system consisting of a
thiourea (TU) and base cocatalyst can render high functional group tolerance and yield
polymers with predictable molecular weights and narrow Mw/Mn.1,2,4,34–36 Despite the high 3 3 selectivity shown by this class of catalyst, the major disadvantage had been the slow rates
for ROP.34,35,37 The development of advanced catalyst systems continues apace, this
shortcoming has largely been mitigated. Indeed, (thio)urea H-bond mediated ROP has
experienced a renaissance as a new polymerization mechanism – mediated by imidate or
thioimidate species – facilitates new synthetic abilities and new modes of reactivity,
Scheme 1. It should be noted that there are many structural manifestations of H-bond
mediated catalysts,11,38–41 but this review is narrowly focused on the evolution of the
(thio)urea/base cocatalyst system as it pertains to the ROP of δ-valerolactone (VL), e-
caprolactone (CL) and lactide (LA), in particular. INTRODUCTION 4 4 THIO)UREA H-BOND MEDIATED RING-OPENING POLYMERIZATION The naissance of H-bond mediated ROP occurred in 2005 when the Takemoto thiourea
(Figure 1) was applied for the polymerization of LA.4 This unimolecular, bifunctional
catalyst consists of an H-bond donating moiety and an H-bond accepting moiety that can
activate monomer and initiator/chain end, respectively (Scheme 2), yielding, in addition to
typical ‘living’ behavior, highly selective ROP with minimum broadening of Mw/Mn even
at monomer conversions ³ 95%.4 However, the reaction time is protracted (2 days), and
ROP is most effective in non-H-bonding solvents.4 This study cemented common themes
among H-bond mediated catalysts for ROP: a 3,5-bistrifluoromethyl aryl group for its
electron withdrawing abilities and a cyclohexyl group, which is not required versus other
alkyl groups for catalysis.4 Amazingly, this study also revealed similar catalytic activity
to the bifunctional Takemoto catalyst when bimolecular catalysts were employed; the
thiourea 1-S plus N,N-dimethylcyclohexylamine (NCyMe2) cocatalyzed ROP of LA
demonstrated that covalently tethering the H-bond donor and acceptor is not essential.4,8
A base screen conducted using 1-S and commercially available bases revealed (-)-sparteine
to exhibit the highest activity, achieving 95% conversion of LA in 2 h (25-fold faster than
the parent system), producing PLA with minimal epimerization and narrow Mw/Mn.8
Thiourea plus alkylamine base cocatalysts are limited to the ROP of LA.42
F
H b
d
di t d ROP
t
i b
t l
t
i d
ith TU f
th A base screen conducted using 1-S and commercially available bases revealed (-)-sparteine
to exhibit the highest activity, achieving 95% conversion of LA in 2 h (25-fold faster than
the parent system), producing PLA with minimal epimerization and narrow Mw/Mn.8
Thiourea plus alkylamine base cocatalysts are limited to the ROP of LA.42 For H-bond mediated ROP, strong organic base cocatalysts are required with TUs for the
ROP of lactones other than lactide.35 The guanidine base N-methyl-1,5,7-
triazabicyclo[4.4.0]dec-5-ene (MTBD) and amidine base 1,8-diazabicyclo[5.4.0]- undec-
7-ene (DBU) are only active for ROP of VL and CL from alcoholic initiators in the
presence of 1-S. INTRODUCTION Under typical reaction conditions (2M monomer, 5 mol% cocatalysts), 5 5 the MTBD or DBU plus 1-S cocatalyzed ROP of VL ([M]o/[I]o = 100) reached full
conversion in ~4 h, and the polymerization of CL was much slower (full conversion in 2-
5 days).42 Although slower than other catalyst systems, these cocatalysts are highly
controlled, leading to polymers with narrow molecular weight distributions (Mw/Mn ≤
1.08), predictable molecular weights up to [M]o/[I]o = 200 with good end group fidelity.42
The selectivity of these catalysts for monomer versus polymer could be ascribed to the high
affinity of thiourea for s-cis esters (lactones) in contrast with negligible binding to s-trans
esters (i.e. polymer backbone).1,2,42 In general, thioureas featuring aryl rings with strong
electron withdrawing groups result in faster rates, but the trend is not robust.43 Further,
enhanced H-bonding to base cocatalyst will attenuate catalytic activity.16,35 Mechanistic studies on the thiourea/alkylamine base mediated ROP of LA informed the
development of advanced catalyst systems for ROP. Kinetic studies on the ROP of LA
cocatalyzed by 1-S and certain alkylamine bases (i.e. not all cocatalyst combinations)
revealed second order dependence on [1-S]o; a mechanistic account was proposed.44 As a
direct result, the bisthiourea 2-S was synthesized and applied with base cocatalysts for the
ROP of lactide, which resulted in enhanced rates (k2-S/k1-S ~12).37 Unexpectedly, the
application of 2-S (plus base cocatalyst) results in rate accelerated ROP versus 1-S for all
base cocatalysts and monomers examined, regardless of kinetics for the analogous 1-S
system. The 2-S plus base cocatalyzed ROPs of LA and lactones exhibit similar rate
equations (Rate = kobs[M]; kobs = [2-S + base]o[initiator]o) which suggests that 2-S is acting
as a discrete catalyst (one bisthiourea per base per monomer in the transition state).34,37
Buttressed by computational studies37 and indirect evidence,34 an activated-TU mechanism
was proposed, whereby the ‘extra’ thiourea stabilizes the catalytic thiourea via H-bond 6 6 activation, Figure 2. The ROP of cyclic lactones in the presence of 2-S and base proceeded
with lower catalyst loadings and enhanced rates compared to monothiourea 1-S, yet
selectivity and control are retained.37 Since 2-S proved to be superior to 1-S in all
comparisons, an obvious question becomes, what about a tristhiourea? INTRODUCTION However, the
tristhiourea 3-S is markedly inactive for ROP.34 This observation was attributed to
intramolecular H-bonding between all three thiourea moieties, generating a C3 symmetric
structure, rendering all thioureas inaccessible for catalysis.34 Computational studies
suggested that contracting the length of the H-bond donor moieties by changing C=S to
C=O would break the C3 symmetry and result in the generation of a ‘frustrated’ system
that cannot form a completed, intramolecular H-bonded network, thereby liberating a urea
moiety for monomer activation (Figure 3). The prediction proved prophetic, and the
trisurea 3-O proved to be the gateway, at least for our group, to the incredibly active imidate
mediated polymerizations. The ROP of VL with 3-O/MTBD achieved full conversion 25 times faster than with 2-
S/MTBD, producing PVL in 3 min (Mn = 7.5 kDa, Mw/Mn = 1.07). The ROP of CL with
3-O/MTBD was slower but was completed in 30 min compared to 10 h or 45 h with 2-
S/MTBD or 1-S/MTBD, respectively. These transformations were not only more rapid but
proceeded with high control, exhibiting the characteristics of a ‘living’ ROP. A
comparative study conducted for the ROP of CL (2M from benzyl alcohol, M/I = 50) with
the highly-active base 1,5,7-triazabicyclodec-5-ene (TBD), a go-to commercially available
organocatalyst for ROP,45 versus 3-O/MTBD displayed the superior ROP abilities of the
nascent urea H-bond donors: 3-O/MTBD (33 mM) 26 min, 97% conversion, Mw/Mn =
1.05; TBD (33 mM) 140 min, 93% conversion, Mw/Mn = 1.37.34 The marked success of 3- 7 7 7 O mediated ROP suggested that other urea H-bond donors would be active as well. Indeed,
the monourea 1-O and bisurea 2-O were more active than the analogous thiourea H-bond
donors when applied with a base cocatalyst for ROP.34 A commercially available
monourea H-bond donor, triclocarban (TCC), exhibits catalytic rates and selectivities for
all lactone monomers that rival that of 3-O. IMIDATE MEDIATED RING-OPENING POLYMERIZATION IMIDATE MEDIATED RING-OPENING POLYMERIZATION Consideration of the enchainment mechanism of the highly-active organocatalyst TBD
provides a point of comparison for the enchainment mechanism of the nascent urea/base
mediated ROP. TBD is highly active for a wide range of monomers; however, TBD-
catalyzed ROP have been observed to lack selectivity and control especially at high
monomer conversions.1,2,7,42 Mechanistically, the lowest energy enchainment pathway has
been computationally and experimentally suggested to be H-bonding, where TBD acts as
a bifunctional molecule activating both monomer and chain end (Scheme 3).1,2,49,50 The
mode of activity displayed by TBD serves a as an analogy to the advance made by
Waymouth and coworkers whereby a thiourea is treated with a strong base to form a
thioimidate species, which is highly-active for ROP, Scheme 3.35,51 The treatment of a
thiourea with strong bases like sodium and potassium methoxides form the thioimidate salt
and an alcohol which can be used as catalyst/initiator systems for the ROP of lactones. The
thioimidate (anionic thiourea) can function both as an H-bond donor and acceptor similar
to TBD (Scheme 3).51 When the ROP of LA ([LA]o/[NaOCH3]o = 200) was conducted
using 1-10 equivalents of thiourea to NaOCH3, monomer conversion >90% was achieved
in ≤ 6 min, where faster rates were seen with lower amounts of thiourea.51 However, a
molar excess of thiourea to base was vital to minimize the molecular weight distribution
of the PLA (Mw/Mn = 1.55 to 1.18). The identity of the alkoxide counterion was shown to
influence the selectivity of ROP, and slower rates but enhanced selectivity were observed
with K+ versus Na+.51 The ROPs with thiourea/alkoxides showed characteristics of ‘living’
polymerizations. The transformations were controlled and highly selective compared to
ROPs mediated by alkoxides alone, producing highly isotactic PLA with predictable Consideration of the enchainment mechanism of the highly-active organocatalyst TBD
provides a point of comparison for the enchainment mechanism of the nascent urea/base
mediated ROP. INTRODUCTION For reasons that are not entirely clear, the 2-
S/alkylamine system remains the more active and controlled system for the ROP of
lactide.11,32 The lower solubility of urea versus thiourea H-bond donors had restricted their application
as catalysts, but almost all urea cocatalysts examined are fully soluble in the presence of
base and/or monomer.34,46 The initial reports of urea plus base cocatalyst mediated ROP
showed that stronger organic bases yielded more active ROP.34,47 This result stands in
contrast to that of thiourea mediated ROP where catalytic activity is related to the binding
between the cocatalysts (see above);44,48 this may have been the first indication that a
different mechanism of enchainment was operative. The initial reports also disclosed that
urea H-bond donors remain active in polar solvent, Figure 4. This result was particularly
surprising giving the large suppression of rate in polar solvent (e.g. THF) displayed by
thiourea H-bond donors.4,8,34,47 Again, it was becoming apparent that a new mechanism
was engendering abilities that were historically out of reach. 8 8 IMIDATE MEDIATED RING-OPENING POLYMERIZATION TBD is highly active for a wide range of monomers; however, TBD-
catalyzed ROP have been observed to lack selectivity and control especially at high
monomer conversions.1,2,7,42 Mechanistically, the lowest energy enchainment pathway has
been computationally and experimentally suggested to be H-bonding, where TBD acts as
a bifunctional molecule activating both monomer and chain end (Scheme 3).1,2,49,50 The
mode of activity displayed by TBD serves a as an analogy to the advance made by
Waymouth and coworkers whereby a thiourea is treated with a strong base to form a
thioimidate species, which is highly-active for ROP, Scheme 3.35,51 The treatment of a
thiourea with strong bases like sodium and potassium methoxides form the thioimidate salt
and an alcohol which can be used as catalyst/initiator systems for the ROP of lactones. The
thioimidate (anionic thiourea) can function both as an H-bond donor and acceptor similar
to TBD (Scheme 3).51 When the ROP of LA ([LA]o/[NaOCH3]o = 200) was conducted
using 1-10 equivalents of thiourea to NaOCH3, monomer conversion >90% was achieved
in ≤ 6 min, where faster rates were seen with lower amounts of thiourea.51 However, a
molar excess of thiourea to base was vital to minimize the molecular weight distribution
of the PLA (Mw/Mn = 1.55 to 1.18). The identity of the alkoxide counterion was shown to
influence the selectivity of ROP, and slower rates but enhanced selectivity were observed
with K+ versus Na+.51 The ROPs with thiourea/alkoxides showed characteristics of ‘living’
polymerizations. The transformations were controlled and highly selective compared to
ROPs mediated by alkoxides alone producing highly isotactic PLA with predictable Consideration of the enchainment mechanism of the highly-active organocatalyst TBD
provides a point of comparison for the enchainment mechanism of the nascent urea/base
mediated ROP. TBD is highly active for a wide range of monomers; however, TBD-
catalyzed ROP have been observed to lack selectivity and control especially at high
monomer conversions.1,2,7,42 Mechanistically, the lowest energy enchainment pathway has 9 9 molecular weights and minimal epimerization. The adaptability of this system was shown
by its efficacy in ROP of VL and CL. Computational and mechanistic studies indicate that
the active catalyst species is characterized by the metal ion complexed to S, and a mode of
enchainment was proposed, Scheme 3. IMIDATE MEDIATED RING-OPENING POLYMERIZATION The larger association constant for the binding of
TU-K+/HOtBU to VL (24±4 M-1) versus ethyl acetate (5±2 M-1) indicates that the
selectivity of the ROP is rendered by the different binding of the anionic adduct to the
cyclic lactone versus the open chain ester.51 The treatment of a urea H-bond donor with a strong base form a urea anion which is
incredibly active and controlled in the ROP of lactones. One method of generating the urea
anion (imidate) is to employ a strong inorganic base, alkoxide (e.g. KOCH3) or hydride
(e.g. KH). In the latter method, an ex situ alcohol initiator can be introduced. Just as
neutral urea catalysts were previously shown to be much more active than their thiourea
counterparts in performing ROP, Figure 4,34,47 the urea anions are much faster than the
corresponding thiourea anions.35 The slowest imidate was not only 25 times faster than
the analogous thioimidate, but also exhibited enhanced selectivity.35,51 Kinetic studies
indicated first order behavior in [monomer] and[initiator]o and inverse first order
dependence on urea when [alkoxide]o ≤ [urea]o. This was suggested to be a result of
reversible neutral urea:imidate dimer formation which could inhibit catalytic activity.35,52,53
This study also revealed a correlation between the pKa of the urea or thiourea and its
activity, where ureas with lower acidity form more active (basic) imidates/thioimidates.35
Hence, ureas featuring more or stronger electron withdrawing groups produce urea anions
that are less active for ROP, and an imidate is more active than its analogous thioimidate
due to the increased acidity of thioureas versus ureas.34,35,43,47,54 The high selectivity and 10 versatility of imidates, unlike TBD, was attributed to the ability to fine tune the basicity
and H-bond donating ability by changing the substituent groups on the phenyl ring.35,51 An
N-methylated monofunctional urea exhibited slower rates and decreased selectivity
compared to ureas featuring two N-H donors, suggesting a bifunctional mode of activation
(c.f. TBD) is preferred.35 These hyperactive imidate mediated H-bonding catalysts were
reported to be faster and more selective than other organocatalysts, resembling some metal-
containing catalysts in their activity.1,2,14,34,35,51 When ureas or thioureas are subjected to strong organic bases, an equilibrium is established
between neutral H-bond mediated ROP and the more active imidate mechanism. Our
group studied the mechanism of TCC/base mediated ROP, and a simple 1H NMR
experiment of TCC with and without base cocatalyst proved highly diagnostic. IMIDATE MEDIATED RING-OPENING POLYMERIZATION Imidate
formation is indicated by an upfield shift of TCC resonances in the presence of base, and
cocatalyst H-bonding is indicated by the downfield shift of TCC resonances in the presence
of base.47 The equilibrium between neutral urea and imidate species (Scheme 4) shifts
more towards imidate in the presence of stronger bases (BEMP-H+ pKaMeCN = 27.6 >
MTBD-H+ pKaMeCN = 25.4 > DBU-H+ pKaMeCN = 24.3) and upon the application of polar
solvent (which presumably stabilizes the charged catalyst species).47,54 More imidate
character is associated with faster rates of ROP.35,47,54,55 However, once the H-
bonding/imidate equilibrium is shifted mostly to imidate, catalytic activity will diminish if
more acidic (thio)ureas or stronger bases are applied. This is also attributable to the
reduced basicity of the resulting (thio)imidate; non-linear Hammett behavior has been
observed.35,43,51 The very progress of the reaction was shown to influence the nature of the
active catalyst because, during an ROP, the highly polar monomer is converted to less polar 11 polymer. Hence the H-bonding/imidate equilibrium (Scheme 4) was shown to shift
towards neutral catalysts late in the ROP.11 This may constitute an advantage of applying
organic (versus alkoxides or hydrides) bases whose reactivity becomes attenuated late in
the ROP, thereby increasing reaction control.11 12 NEW REACTIONS AND ABILITIES The development of new catalytic abilities – the imidate mechanism of enchainment – has
provided new synthetic opportunities. For example, (thio)imidate mediated ROP are
operative under solvent-free conditions.32 The polar lactone monomer is ironically a poor
solvent for H-bond mediate ROP of lactones; the monomer interrupts cocatalyst H-bonding
and severely attenuates reactivity. However, in solvent-free conditions, the urea plus base
cocatalyst system is highly active for ROP. These conditions even allow for the synthesis
of block copolymers that are inaccessible in solution conditions.32 New opportunities in
additive manufacturing can be envisaged. Imidate mediated enchainment allowed for the production of high molecular weight poly(γ-
butyrolactone)s (PγBLs) via selective ROP of “nonpolymerizable” γ-butyrolactone (γBL)
at -40oC.28,29 The utility of commercially available phosphazene super bases and
(thio)ureas facilitated the formation of linear PγBL initiated by the alcohol species. These
species display among the highest activity for the organocatalytic ROP of γBL.28 The ROP
of γBL with alkoxide/urea catalysts show high activity even at -20oC. Although this system
produces linear polymers, careful manipulation of monomer/catalyst/initiator was required
to ensure initiation from the alcohol (versus monomer).29 Those ROP using less acidic
(thio)ureas displayed greater catalytic activity, presumably due to the generation of a more
basic (thio)urea anion. The utility of the imidate/neutral H-bonding duality of (thio)ureas were further
demonstrated in a study where a sequential one pot copolymerization of epoxides and LA
was reported.32,56 One pot synthesis of polyether-polylactide copolymers has been
successful only in a few cases.56 The strong base required for the ROP of cyclic ethers can 13 lead to deleterious epimerization of LA and transesterification of PLA.56 The 1-S H-bond
donor in the presence of tetrabutyl ammonium fluoride (TBAF) is effective for the
copolymerization of glycidyl phenyl ether and LA, yielding polymers with predictable
molecular weights and narrow dispersities (Mw/Mn = 1.13 – 1.19).56 The proposed
mechanism proceeds by an anionic initiation of the epoxide by TBAF; the addition of 1-S
allows the conversion of the incipient alkoxide to the 1-S thioimidate, which is competent
for the controlled ROP of LA, Scheme 5. NEW REACTIONS AND ABILITIES Hence, the mechanistic duality of the 1-S system
directly facilitates the one pot copolymerization of epoxide and LA.14,56–58 lead to deleterious epimerization of LA and transesterification of PLA.56 The 1-S H-bond
donor in the presence of tetrabutyl ammonium fluoride (TBAF) is effective for the
copolymerization of glycidyl phenyl ether and LA, yielding polymers with predictable
molecular weights and narrow dispersities (Mw/Mn = 1.13 – 1.19).56 The proposed
mechanism proceeds by an anionic initiation of the epoxide by TBAF; the addition of 1-S
allows the conversion of the incipient alkoxide to the 1-S thioimidate, which is competent
for the controlled ROP of LA, Scheme 5. Hence, the mechanistic duality of the 1-S system
directly facilitates the one pot copolymerization of epoxide and LA.14,56–58 14 CONCLUSION Since the application of the Takemoto thiourea for ROP and the discovery that
covalent tethering the H-bond donor and base cocatalyst is not essential, the field of
(thio)urea mediated ROP has advanced in spurts to among the more active and controlled
systems for the enchainment of cyclic monomers. (Thio)urea catalysts were
conventionally known to follow a dual H-bonding mechanism with assistance of organic
bases; however, the differing activity of these base cocatalysts and the ability to manipulate
the H-bond donating ability by changing the acidity of (thio)ureas provided substantial
evidence for a second mechanism. In the presence of weaker organic bases, (thio)ureas
promote ROP via a neutral H-bonding mechanism, whereas with stronger bases they
proceed via an imidate H-bonding mechanism which may exhibit dual H-bonding activity
like TBD. In most cases, the recently developed urea class of H-bond donors were shown
to be more active than their corresponding thioureas. The imidate mechanism remains
highly active in polar solvents and exhibits remarkable control under solvent-free
conditions, and high temperature applications are accessible.11 It should be emphasized
that the advancements in synthetic abilities have all evolved through a greater
understanding of reaction mechanism. We expect that the enhanced utility – greater range
of solvents, temperatures and substrates – will expose weakness and strengths of the
nascent catalysts which will precipitate further advances, perhaps via mechanistic study. New substrates with new demands for selectivity remain to be studied. Through the
continued synergistic advances of catalysis and material, the H-bonding class of catalyst
can find use in a host of potential applications, research and industrial environments. 15 LIST OF REFERENCES (1)
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Catalysts. Chem. Rev. 2016, 116 (4), 1969–1992. 24 Scheme 1.1. H-bonding versus Imidate Mediated ROP of Lactones Scheme 1.1. H-bonding versus Imidate Mediated ROP of Lactones Scheme 1.2. Proposed activation pathway of covalently linked bifunctional thiourea in
ROP of LA Scheme 1.2. Proposed activation pathway of covalently linked bifunctional thiourea in
ROP of LA Scheme 1.2. MANUSCRIPT – II Published in ACS Macromolecules 844. Proposed activation pathway of covalently linked bifunctional thiourea in
ROP of LA 25 Scheme 1.3. (upper) Bifunctional activation of monomer and initiator/chain end by TBD
(lower) Formation of imidate catalyst and suggested activation modality. Scheme 1.3. (upper) Bifunctional activation of monomer and initiator/chain end by TBD
(lower) Formation of imidate catalyst and suggested activation modality. Scheme 1.3. (upper) Bifunctional activation of monomer and initiator/chain end by TBD
(lower) Formation of imidate catalyst and suggested activation modality. Scheme 1.4. Equilibrium between neutral versus imidate TCC with base Scheme 1.4. Equilibrium between neutral versus imidate TCC with base 26 Scheme 1.5. ROP of epoxides and thiourea mediated conversion of alkoxide to alcohol
and thioimdate for the ROP of lactones. Scheme 1.5. ROP of epoxides and thiourea mediated conversion of alkoxide to alcohol
and thioimdate for the ROP of lactones. Scheme 1.5. ROP of epoxides and thiourea mediated conversion of alkoxide to alcohol
and thioimdate for the ROP of lactones. Scheme 1.5. ROP of epoxides and thiourea mediated conversion of alkoxide to alcohol
and thioimdate for the ROP of lactones. 27 Figure 1.1. Strength of cocatalyst binding is predictive of catalytic activity. Figure 1.1. Strength of cocatalyst binding is predictive of catalytic activity. Figure 1.2. Representative (thio)ureas in red and proposed activated-TU mode activation
for multi-donors. Figure 1.2. Representative (thio)ureas in red and proposed activated-TU mode activation
for multi-donors. 28 Figure 1.3. Monomer activation by activated-3-O and intramolecular deactivation of 3-S. Figure 1.3. Monomer activation by activated-3-O and intramolecular deactivation of 3-S. Figure 1.3. Monomer activation by activated-3-O and intramolecular deactivation of 3-S. Figure 1.4. The thiourea/base mediated ROP of lactones slows in polar solvent while
urea/base mediated ROP remain active. Figure 1.4. The thiourea/base mediated ROP of lactones slows in polar solvent while
urea/base mediated ROP remain active. Figure 1.4. The thiourea/base mediated ROP of lactones slows in polar solvent while
urea/base mediated ROP remain active. 29 titative Measurements of Polymer Hydrophobicity Based on Functional Group Nayanthara U. Dharmaratne,1 Terra Marie M. Jouaneh,1 Matthew K. Kiesewetter.,1 and
Robert T. Mathers2 1Department of Chemistry, University of Rhode Island, Kingston, RI 02881
2Department of Chemistry, The Pennsylvania State University, New Kensington,
Pennsylvania 15068. ABSTRACT A combined experimental and computational investigation revealed a hydrophobicity trend
for oxygen containing functional groups commonly encountered in monomers and
polymers. Based on solvatochromatic dye experiments, HPLC retention times, and
theoretical LogP values, the 3-oxygen atom in carbonates results in more hydrophobicity
than other permutations like anhydrides. Another trend emerged for functional groups with
2-oxygen atoms (acetals > esters). Overall, when comparing aliphatic polymers with
similarly sized monomers, hydrophobicity decreased as follows: carbonates > acetals >
esters > anhydrides. These trends have important implications for degradation,
conductivity, and many other applications. 31 INTRODUCTION Many scientists who study polymers from the perspective of surface chemistry,1
biochemistry,2 biology,3 or physics4 routinely use words like “hydrophobic” and
“hydrophilic.”5 These valuable concepts provide a necessary framework for describing
physical properties of various polymers and nanostructures.6 While such constructs can
facilitate a nice qualitative comparison of similar functional groups, like a series of lactones
with different ring sizes or acrylates with various alkyl substituents, using the term
“hydrophobic” has limitations when ranking dissimilar polymers. To some extent, ambiguity arises due to the instinctual perspective of counting carbon
atoms in functional groups or calculating a carbon:oxygen (C:O) ratio for monomers. Considering a number of oxygen-containing monomers units with ketones, ethers, esters,
acetals, anhydrides, and carbonates may have similar C:O ratios, structural diversity creates
a dilemma when evaluating homopolymers and copolymers. For instance, while
poly(tetrahydrofuran) (PTHF) is viewed as “hydrophobic” relative to poly(N-
isopropylacrylamide) (PNIPAM),7 other researchers view PTHF as “hydrophilic” relative
to polycaprolactone (PCL).8 Since the C:O ratio for PTHF (4:1) is larger than PCL (3:1)
but less than PNIPAM, this perspective illustrates the confusion when counting atoms in a
monomer unit. In addition, various PCL derivatives have been designated as
“hydrophobic,”9 “moderately hydrophobic,”10 and “highly hydrophobic.”11 To further
compound the uncertainty with homopolymers, copolymers with carbonate units are more
hydrophobic than esters in some cases but less hydrophobic than esters in other
copolymers.12 32 Because terms like hydrophobic have potential for ambiguity when ranking polymers with
oxygen-containing functional groups, quantitative metrics offer a potential pathway to
reduce misperception. As such, a number of computational strategies, like octanol-water
partition coefficients (LogPoct)13,14 and Molecular Dynamics (MD) simulations of water
contact angles15 and solubility parameters16 greatly assist efforts to understand
hydrophobicity. These computational approaches complement experimental methods
based on contact angle measurements,17 swelling experiments,7,18 liquid chromatography,19
and solvatochromatic dye experiments.20 Because terms like hydrophobic have potential for ambiguity when ranking polymers with
oxygen-containing functional groups, quantitative metrics offer a potential pathway to
reduce misperception. As such, a number of computational strategies, like octanol-water
partition coefficients (LogPoct)13,14 and Molecular Dynamics (MD) simulations of water
contact angles15 and solubility parameters16 greatly assist efforts to understand
hydrophobicity. INTRODUCTION These computational approaches complement experimental methods
based on contact angle measurements,17 swelling experiments,7,18 liquid chromatography,19
and solvatochromatic dye experiments.20 Recently, combined experimental and computational LogPoct values have demonstrated the
ability to discern hydrophobicity of anhydride monomer libraries,21 polyacrylate
homopolymers,22 star polymers,23 post-polymer modification,18 polyester electrolytes,24
solubility of B vitamins in melt polymerizations,25 and diblock copolymers for
crystallization driven self-assembly (CDSA).26 As the structural diversity of petroleum27-30 and renewable31-38 monomers continues to
expand, understanding and predicting hydrophobicity for various permutations of oxygen
atoms leads to challenges. Consequently, an opportunity exists to rank common functional
groups, like ethers,39 carbonates,27 esters,25 anhydrides,21 and acetals.40-42 We hypothesize
that functional groups with oxygen atoms exert a major influence on hydrophobicity and
suggest that using the C:O ratio or size of alkyl substituents oversimplifies assessment
when comparing structurally diverse monomers. For instance, will functional groups with
the same number of oxygen atoms, like esters and acetals, have different amounts of
hydrophobicity? How about carbonates and anhydrides, which each have three oxygen
atoms? 33 With these questions in mind, we have begun to investigate the connection between
oxygen-containing functional groups, like acetal, ester, ether, carbonate and anhydrides,
and hydrophobicity of monomers and polymers. To answer these questions, a combination
of experimental and computational methods were investigated for acyclic model
compounds, cyclic and tricyclic monomers, as well as some selected polymer examples. 34 EXPERIMENTAL SECTION Acetic anhydride (Acros Organics, 99+ %, AA), acrolein diethyl acetal (Sigma-Aldrich,
96 %, ADA), butyl acrylate (Sigma-Aldrich, > 99%, BA), diethyl ether (Fisher Scientific,
laboratory grade, DE), dimethyl carbonate (Acros Organics, 99 %, DMC),
dimethoxymethane (Sigma Aldrich, 99 %, DMM), 2,2-dimethoxy-2-phenylacetophenone
(Sigma Aldrich, 99 %, DMPA), ethyl acetate (EMD Chemicals, > 99.5 %, EtAc), methyl
succinic anhydride (Sigma Aldrich, 98 %, MSA), propylene carbonate (Sigma Aldrich,
99.7 %, PC), 3-pentanone (Acros Organics, 98 %, 3P), and gamma-valerolactone (Sigma
Aldrich, 99 %, GVL) were used as received. δ-Valerolactone (Acros Organics, 99 %, VL)
and ε-caprolactone (Sigma Aldrich, 97 %, CL) were distilled from calcium hydride under
high vacuum. UV/Vis spectroscopy measurements conducted with a Shimadzu UV-1650PC
spectrophotometer at ambient temperature. Samples analyzed in semi-micro UV-cuvettes
(path length 10.0 mm) (Brand GMBH, Germany). The max values of Nile Red taken from
maximum height of absorbance. Reported values are an average of 5 experiments. Typical
standard deviation was ± 0.5 nm. For consistency, Nile Red concentrations were adjusted
to achieve absorbance values of <1. Octanol-water partition coefficients were calculated by Materials Studio 7.0 and extracted
using the ALogP function on the QSAR menu. Connolly surface area (SA) calculated with
a 1.40 Å probe after Forcite Geometry Optimization with a Smart algorithm and
COMPASS II forcefield. The maximum number of iterations during minimization varied
depending on molecular weight but were typically 500 for monomers and 10,000-20,000 35 for oligomers. Convergence tolerance for the Smart algorithm included a 1.0e-4 kcal/mol
energy convergence, 0.005 kcal/mol/Å force convergence, and a 5.0e-5 Å displacement
convergence. Contact angle measurements were conducted at ambient temperature with a custom-built
goniometer using a 22 gauge needle.43 Drops (~10 µL) of organic liquid were placed on
Restek Thermolite® rubber septa (10 mm diameter) and Teflon coated silicon septa (10
mm diameter). Reported contact angle values were an average of 6-8 measurements. Contact angle measurements were conducted at ambient temperature with a custom-built
goniometer using a 22 gauge needle.43 Drops (~10 µL) of organic liquid were placed on
Restek Thermolite® rubber septa (10 mm diameter) and Teflon coated silicon septa (10
mm diameter). Reported contact angle values were an average of 6-8 measurements. HPLC analysis was investigated with a Shimadzu HPLC system equipped with two pumps
(20AT), an autosampler (SIL-20), degasser, column oven (20HT), and a Waters UV/Vis
detector. EXPERIMENTAL SECTION Acetonitrile (0.15 mL/min) was eluted through a Phenomenex C18 column (3 mm
x 100 mm, 3 µm particles) at 30 °C. Samples (1 mg/mL) were prepared in acetonitrile and
injected (1 µL) via autosampler. The UV detector was set at 254 nm. HPLC analysis was investigated with a Shimadzu HPLC system equipped with two pumps
(20AT), an autosampler (SIL-20), degasser, column oven (20HT), and a Waters UV/Vis
detector. Acetonitrile (0.15 mL/min) was eluted through a Phenomenex C18 column (3 mm
x 100 mm, 3 µm particles) at 30 °C. Samples (1 mg/mL) were prepared in acetonitrile and
injected (1 µL) via autosampler. The UV detector was set at 254 nm. Photopolymerization of neat butyl acrylate was conducted at ambient temperature. Initially, filtering butyl acrylate (BA) through neutral alumina removed inhibitor. DMPA
was crushed to a fine powder with a spatula. Then, BA (2.4 g) and DMPA (0.5 wt. %)
were added to a cuvette, capped with a septum, and vortexed until homogeneous. After
bubbling the solution with nitrogen for 3 min, the capped cuvette was immediately
irradiated at 365 nm (7.7 ± 0.2 mW/cm2) for 1 min. After the polymerization, Nile Red (~
0.05 mg) powder was added. The solution stirred for several minutes before taking a
UV/Vis spectrum. Example oligomerization of VL and CL. To a 20 mL vial, CL (2.000 g, 17.5 mmol) and
benzyl alcohol (0.1890 g, 1.75 mmol) were added, and the contents were stirred to mix. To a second 7 ml vial, TBD (0.0240 g, 0.175 mmol) and acetone (2.0 mL) were added and 36 agitated until homogenous. The contents of the second vial were transferred to the first vial
via Pasteur pipette, and the contents were agitated to mix. The reaction was quenched in 1
h by the addition of benzoic acid (0.0430 g, 0.345 mmol). Polymer was purified using a
silica column where 100 % dichloromethane was used as the mobile phase. PCL was
removed of volatiles under high vacuum prior to characterization. Yield 97%, Mn = 1200
g/mol determined by NMR. agitated until homogenous. The contents of the second vial were transferred to the first vial
via Pasteur pipette, and the contents were agitated to mix. The reaction was quenched in 1
h by the addition of benzoic acid (0.0430 g, 0.345 mmol). Polymer was purified using a
silica column where 100 % dichloromethane was used as the mobile phase. EXPERIMENTAL SECTION PCL was
removed of volatiles under high vacuum prior to characterization. Yield 97%, Mn = 1200
g/mol determined by NMR. Synthesis of Trimethylene Carbonate (TMC) Synthesis of Trimethylene Carbonate (TMC) TMC was synthesized as reported.44 Ethyl chloroformate (25 ml, 0.264 mol) was added
in a single portion to a solution of 1,3-propanediol (9.5 ml, 0.132 mol) dissolved in 500
mL of THF in a Schlenk flask under N2 atmosphere. The contents were cooled using an
ice bath and triethylamine (37 ml, 0.264 mol) was added dropwise over a period of 30
minutes. After 2 h, a precipitate formed, was filtered off and the filtrate was concentrated
under vacuum to yield a yellow oil. Diethyl ether (200 mL) was added to the remaining
oil, and the contents were stored in a refrigerator overnight to crystallize TMC. The
crystals were further purified by recrystallizing in diethyl ether. Yield 52 %. Oligomerization of TMC to produce poly(trimethylene carbonate) (PTMC) was conducted
by adding benzyl alcohol (0.424 g, 3.92 mmol) to a solution of TMC (2.000 g, 19.6 mmol)
in 7 mL of CHCl3 in a 20 mL vial. In a second 7 mL vial, a solution of TBD (0.014 g,
0.098 mmol) in CHCl3 (1 mL) was prepared. The TBD solution was then added to the 20
mL vial via Pasteur pipette, and the contents were shaken to mix. The reaction was
quenched in 15 min using benzoic acid (0.024 g, 0.195 mmol) to yield 98% PTMC, Mn
(NMR) = 650 g/mol, Mn (GPC) = 1100 g/mol. 37 RESULTS AND DISCUSSION In order to rank hydrophobicity of common functional groups, a series of acyclic
model compounds (Figure 2.1) of similar size were investigated by UV/Vis spectroscopy. Accordingly, analyzing lmax values for a solvatochromatic dye in these solvents quantified
the relationship between hydrophobicity and functional groups. For example, an inverse
relationship exists between lmax values for Nile Red (NR) and hydrophobicity. In order to rank hydrophobicity of common functional groups, a series of acyclic
model compounds (Figure 2.1) of similar size were investigated by UV/Vis spectroscopy. Accordingly, analyzing lmax values for a solvatochromatic dye in these solvents quantified
the relationship between hydrophobicity and functional groups. For example, an inverse
relationship exists between lmax values for Nile Red (NR) and hydrophobicity. In Figure 2.1, NR confirmed the 3 oxygen atoms in dimethyl carbonate (DMC) provided a
more hydrophobic environment than the 3 oxygen atoms in acetic anhydride (AA). Surprisingly, DMC is also more hydrophobic than functional groups with fewer oxygen
atoms, like ethyl acetate (EtAc) and 3-pentanone (3P). These results indicate that simply
counting the number of oxygen atoms in a functional does not convey the whole picture. Likewise, dimethoxymethane, which has an acetal functional group with 2 oxygen atoms,
is more hydrophobic than diethyl ether (DE) and EtAc. In Figure 2.1, NR confirmed the 3 oxygen atoms in dimethyl carbonate (DMC) provided a
more hydrophobic environment than the 3 oxygen atoms in acetic anhydride (AA). Surprisingly, DMC is also more hydrophobic than functional groups with fewer oxygen
atoms, like ethyl acetate (EtAc) and 3-pentanone (3P). These results indicate that simply
counting the number of oxygen atoms in a functional does not convey the whole picture. Likewise, dimethoxymethane, which has an acetal functional group with 2 oxygen atoms,
is more hydrophobic than diethyl ether (DE) and EtAc. To put these observations in context, consider that carbon tetrachloride has more
electronegative atoms than dichloromethane, but is more hydrophobic due to symmetry
and lack of a molecular dipole.45 Interestingly, a similar situation occurs when examining
the 2 oxygen atoms in 1,4-dioxane. Due to symmetry, 1,4-dioxane has a dielectric constant
(e = 2.209) much closer to cyclohexane (e = 2.023) compared to other molecules with same
number of oxygen and carbon atoms, like ethyl acetate (e = 6.02).46 So compared to 3P,
the location and symmetry of extra oxygen atoms in DMC actually attenuate the polarity
of the carbonyl. RESULTS AND DISCUSSION 38 To focus the experimental perspective in Figure 2.1 on monomers, select examples from
polycondensation reactions and ring opening polymerizations (ROP) have been
emphasized. In Figure 2.2, a series of acetals, lactones,47 anhydrides,21,48,49 and
carbonates50 were ranked by octanol-water partition coefficients (LogPoct) (Equation 1) and
normalized by surface area (SA). As such, positive LogPoct/SA values indicate a preference
for dissolving in the 1-octanol layer. In contrast, hydrophilic molecules exhibit negative
LogPoct/SA values and prefer to partition into the water layer. Conveniently, LogPoct
calculations provide an avenue to compare liquid monomers with solid bicyclic monomers. In contrast, dissolving Nile Red at ambient temperature is optimal for the liquids used in
Figure 2.1. LogPoct = log([soluteoctanol layer]/[solutewater layer])
(1) LogPoct = log([soluteoctanol layer]/[solutewater layer])
(1) (1) The combination of solvatochromatic experiments (Figure 2.1) and computational LogPoct
values (Figure 2.2) offer compelling evidence of a hydrophobicity trend amongst acetals,
carbonates, esters, and anhydrides. Based on these examples, carbonates, like EC, TMC,
and PC, are always more hydrophobic than their corresponding anhydrides. In fact, this
large difference between EC and SA occurs without matching the C:O ratio. In contrast,
the gap between acetals/esters is smaller than carbonates/anhydrides. As such, comparing
cyclic molecules with similar C:O ratios, as shown in Figure 2.2a and 2.2b, provided the
most accurate picture and indicated the hydrophobicity of acetals > esters. In Figure 2.3, HPLC analysis reinforced the concept of a hydrophobicity trend and
demonstrated a correlation between experimental retention time and computational 39 LogPoct/SA values. As such, the 5-membered acetal (i.e. 1,3-benzodioxole) was more
hydrophobic than the corresponding ester and anhydride. In addition to mirroring the
trends of 5-membered rings in Figure 2.2, this data had reasonable agreement with other
molecules, like benzaldehyde and styrene oxide. Unexpectedly, a caveat emerged when
attaching two large groups, like benzyl groups, to a carbonate or ester. As such, these large
groups overwhelmed the influence of a single functional group and caused HPLC retention
times to converge. Additionally, electronic effects (Figure 2.7) on the functional group
were observed when comparing benzyl and phenyl groups. Moving from small molecule trends in Figures 2.1-2.3 towards polymers, a number of
unanswered questions exist. As such, this investigation clarifies a number of critical
questions: What occurs to hydrophobicity upon the ring-opening of cyclic monomers
(Figure 2.4a)? How much influence would vinyl groups exert on hydrophobicity (Figure
2.4b)? RESULTS AND DISCUSSION How relevant is the C:O ratio in determining hydrophobicity for polyesters (Figure
2.8), polyacetals (Figure 2.5a) and polyethers? Do the trends from Figures 2.1-2.3 apply
to polymers over a range of oligomer sizes (Figure 2.5)? Would the influence of endgroups
alter hydrophobicity trends (Figure 2.5b)? To investigate what happens during a polymerization, Figure 2.4a considers ring-opening
polymerization (ROP) while Figure 2.4b explores whether the addition of an alkene will
compete with the influence of esters and acetals. Figure 2.4a revealed cyclic monomers,
like PC, GVL, VL, and MSA, exhibit less hydrophobicity than the ring-opened model
compounds. Surprisingly, this observation was most evident for carbonates like DMC. Contact angle measurements (Figure 2.9) confirm the polarity difference between AA and
MSA is smaller than the difference between PC and DMC. These remarks about Figure 40 2.4a are important because cyclic monomers would underestimate hydrophobicity of
corresponding polymers obtained by ROP. For example, cyclic VL (lmax = 546.0 nm) is
less hydrophobic than an oligomer of polyvalerolactone (DP =5, lmax = 542.7 nm). Although cyclic structures resulted in significantly less hydrophobicity than linear
analogues, the effect of adding an alkene (Figure 2.4b) to DMM and EtAc is less
pronounced. Similarly, switching the alkyl length in ethyl acrylate (EA) to a butyl group
has minimal effect on the dominant influence on the ester group. As a result, photoinitiated
polymerization of neat butyl acrylate (BA) (lmax = 525.1 nm) with DMPA produced
polybutylacrylate with a similar Nile Red absorbance (lmax = 523.1 nm). A comparison of
BA with an acetal containing identical numbers of carbon and oxygen atoms, like ADA,
indicates the acetal is more hydrophobic than the ester. The intuitive process of examining the C:O ratio has some relevance for qualitatively
assessing hydrophobicity of polymers with similar functional groups. For example, the
hydrophobicity trend for polyesters (Figure 2.8) like PCL, PVL, and PGBL clearly follows
the different C:O ratios in the repeat unit. However, the situation becomes more complex
when entertaining structurally diverse monomers or comparing different functional groups. For instance, Figure 2.5a highlights an example where the C:O ratio fails to account for the
differences between polyacetals and polyethers. Remarkably, in Figure 2.5a, the acetal units in POM contain a minimal number of carbon
atoms (C:O =1:1) but exhibit more hydrophobicity than PEO (C:O =2:1), polyoxetane (C:O
=3:1), and slightly more than polytetrahydrofuran (PTHF) (C:O =4:1). RESULTS AND DISCUSSION As such, to
approximate the hydrophobicity of the acetal in POM, a polyether would need a C:O ratio
≥ 4:1. Furthermore, the computational results in Figure 2.5a correlate to experimental 41 contact angle measurements observed for POM (q = 69°51, q = 67°52), PEO (qadv = 34-45°)43
and analogues like poly(ethylene glycol) (PEG).53 While some polyethers, like PEO, are
widely recognized as hydrophilic, Figure 2.5a represents the first systematic comparison
as a function of oligomer length. To understand if small molecule trends from Figures 2.1-2.3 apply to a range of oligomer
sizes, a few ring-opening polymerizations (ROP) were investigated. In Figure 2.5b, a series
of oligomers made with carbonate, acetal, and ester-based monomers from Figure 2.2 were
constructed. Then, computational LogPoct/SA values for these oligomers were compared. Overall, the functional group trends for polymers, like poly(PC), poly(GVL), and
poly(PA), had good agreement with the monomers. In Figure 2.5, OH chain ends exhibit a strong influence on hydrophobicity when the degree
of polymerization (DP) is below ~8 monomer units. To compare these theoretical results
with experimental values, a series of oligomers ranging from DP 2 to DP 10 were
synthesized via ROP of VL and CL. Based on analysis by GPC, thermogravimetric
analysis (TGA) (Figures 2.10 and 2.11), differential scanning calorimetry (DSC) (Figures
2.12 and 2.13), the oligomer lengths of DP 2, DP 5, and DP 10 represent average values. In Figure 2.6, solvatochromatic experiments with these oligomers indicated chain end
influence on hydrophobicity diminished as molecular weight increases from DP 5 and DP
10. These experimental results in Figure 2.6 correlate well with computational results in
Figure 2.5. 42 CONCLUSION Computational LogPoct values, Nile Red (NR) solvatochromatic experiments, HPLC
retention times, and contact angle measurements confirmed hydrophobicity depends on
number of oxygen atoms and presence of alkyl groups or aromatic rings. As such, among
functional groups with 3-oxygen atoms, aliphatic carbonates are more hydrophobic than
anhydrides. Based on model compounds, electronic effect of benzene rings (Figure 2.7)
narrows the hydrophobicity gap between carbonates and anhydrides. Although the
difference in hydrophobicity for carbonates and anhydrides in Figure 2.2 is substantial, the
gap between acetals and ester was smaller. When comparing similar C:O ratios, acetals
were more hydrophobic than esters. These observations are summarized in Table 2.1. As a general trend, symmetry of oxygen atoms increases hydrophobicity. For instance,
Figure 2.1 highlights how DMC is more hydrophobic than EtAc and 3P. Interestingly,
sulfur-based analogues in Scheme 2.1 also demonstrate hydrophobicity trends that depend
on symmetry of the oxygen atoms. As such, symmetry of two oxygen atoms in
phenylmethyl sulfone results in more hydrophobicity compared to the single oxygen atom
in the corresponding sulfoxide. This perspective on hydrophobicity helps explain
conductivity trends for polymers containing sulfoxide, sulfone, and sulfide groups.54 Considering LogPoct values span 5-6 orders of magnitude, this metric assesses the concept
of hydrophobicity on a larger continuum compared to certain types of experimental
techniques, like contact angle measurements. As a result, LogPoct values may offer 43 valuable insight in regards to understanding experimental studies on polymer degradability
of polyesters,55 polyacetals56 and polycarbonates.42 Furthermore, the nuances of
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for poly(TMC-co-LA) and poly(LA-co-DHA) copolymers.12 So, why do esters provide
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Chem. 2014, 16, 1768. 53 54 Table 2.1. Summation of hydrophobicity trends for small molecules and polymers. Scenario
Data
Trend
Aliphatic acyclic model
compounds
Figure 2.1
Acetal > carbonate > ester > anhydride
Cyclic and tricyclic
monomers
Figure 2.2
Carbonate > acetal > ester > anhydride
HPLC retention time of
model compounds
Figure 2.3
Acetal > ester > anhydride
Effect of alkene on lmax
Figure 2.4
Acetal > ester
Electronic effect of
benzene
Figure 2.7
Carbonate > ester > anhydride
Polyethers versus
polyacetal
Figure 2.5a
polyacetals (POM) > PTHF > polyoxetane >
PEO
Ring opening
polymerization
Figure 2.5b
polyPC > polyacetal > poly(g-valerolactone)
Influence of OH chain
end
Figure 2.6
PCL > PVL; hydrophobicity increases as DP
increases Table 2.1. Summation of hydrophobicity trends for small molecules and polymers. 55 Scheme 2.1. Comparison of sulfur-based functional groups with ether and ketone
analogues. me 2.1. Comparison of sulfur-based functional groups with ether and ketone Scheme 2.1. Comparison of sulfur-based functional groups with ether and ketone
analogues. Figure 2.1. UV/Vis spectroscopy data for absorbance (lmax) of Nile Red in molecules with
oxygen-containing functional groups. Increasing lmax values indicate a decrease in
hydrophobicity. Figure 2.1. UV/Vis spectroscopy data for absorbance (lmax) of Nile Red in molecules with
oxygen-containing functional groups. Increasing lmax values indicate a decrease in
hydrophobicity. 56 Figure 2.2 Computational octanol-water partition coefficients (LogPoct) for cyclic and
t i
li
)
i
f
t l
d
t
f
C O
ti
4 2
d b) C O Figure 2.2 Computational octanol-water partition coefficients (LogPoct) for cyclic and
tricyclic monomers: a) comparison of acetals and ester for C:O ratio = 4:2 and b) C:O
ratio = 5:2. Increasing LogPoct/SA values indicate an increase in hydrophobicity. Figure 2.2 Computational octanol-water partition coefficients (LogPoct) for cyclic and
tricyclic monomers: a) comparison of acetals and ester for C:O ratio = 4:2 and b) C:O
ratio = 5:2. Increasing LogPoct/SA values indicate an increase in hydrophobicity. 57 Figure 2.3. LIST OF REFERENCES Correlation between experimental HPLC retention times and computational
LogPoct values normalized by surface area (SA). Line represents linear regression. Figure 2.3. Correlation between experimental HPLC retention times and computational
LogPoct values normalized by surface area (SA). Line represents linear regression. Figure 2.3. Correlation between experimental HPLC retention times and computational
LogPoct values normalized by surface area (SA). Line represents linear regression. 58 UV/Vis spectroscopy data for solvatochromatic behavior of Nile Re
cyclic carbonates, esters, and anhydrides with the corresponding acycl
b) evaluation of functional groups with and without vinyl groups. Low Figure 2.4. UV/Vis spectroscopy data for solvatochromatic behavior of Nile Red
comparing a) cyclic carbonates, esters, and anhydrides with the corresponding acyclic
molecule and b) evaluation of functional groups with and without vinyl groups. Lower
lmax values indicate more hydrophobicity. 59 omparison of hydrophobicity values for a) ethers and acetals and b) acetals,
arbonates versus number of monomer units. Examples shown include
ofuran (PTHF) (●), polyoxymethylene (POM) (■), polyoxetane (x),
oxide) (PEO) (▲), poly(propylene carbonate) (♦), and poly(g-
) (●). For comparison, a hypothetic polyacetal (*) in Figure 2.5b is given. Figure 2.5. Comparison of hydrophobicity values for a) ethers and acetals and b) a
esters, and carbonates versus number of monomer units. Examples shown i
polytetrahydrofuran (PTHF) (●), polyoxymethylene (POM) (■), polyoxetan
poly(ethylene oxide) (PEO) (▲), poly(propylene carbonate) (♦), and
valerolactone) (●)
For comparison a hypothetic polyacetal (*) in Figure 2 5b is Figure 2.5. Comparison of hydrophobicity values for a) ethers and acetals and b) acetals,
esters, and carbonates versus number of monomer units. Examples shown include
polytetrahydrofuran (PTHF) (●), polyoxymethylene (POM) (■), polyoxetane (x),
poly(ethylene oxide) (PEO) (▲), poly(propylene carbonate) (♦), and poly(g-
valerolactone) (●). For comparison, a hypothetic polyacetal (*) in Figure 2.5b is given. The dashed lines represent logarithmic regression. 60 Figure 2.6. UV/Vis spectroscopy data for solvatochromatic behavior of Nile Red
comparing oligomers of PVL and PCL initiated with benzyl alcohol. Mn values measured
by NMR end group analysis. Figure 2.6. UV/Vis spectroscopy data for solvatochromatic behavior of Nile Red
comparing oligomers of PVL and PCL initiated with benzyl alcohol. Mn values measured
by NMR end group analysis. 61 Figure 2.7. Electronic effect of benzene reduced the gap between carbonate and anhydride
functional groups. For the 3 dibenzyl compounds shown above, the hydrophobicity trend
(carbonate > ester > anhydride) follows the expectations given in Figures 2.1-2.3. LIST OF REFERENCES When
replacing benzyl groups with phenyl, the gap between carbonates and anhydrides lessens. Figure 2.7. Electronic effect of benzene reduced the gap between carbonate and anhydride
functional groups. For the 3 dibenzyl compounds shown above, the hydrophobicity trend
(carbonate > ester > anhydride) follows the expectations given in Figures 2.1-2.3. When
replacing benzyl groups with phenyl, the gap between carbonates and anhydrides lessens. 62 Figure 2.8. Comparison of hydrophobicity values for polyesters with different C:O ratios. The decamers incorporated OCH3 initiators and OH endgroups. PCL = polycaprolactone,
PVL = polyvalerolactone, PGBL = poly(g-butyrlactone). LogPoct and Connolly surface
area (SA) calculated with Materials Studio after Forcite geometry optimization. Figure 2.8. Comparison of hydrophobicity values for polyesters with different C:O ratios. The decamers incorporated OCH3 initiators and OH endgroups. PCL = polycaprolactone,
PVL = polyvalerolactone, PGBL = poly(g-butyrlactone). LogPoct and Connolly surface
(
)
l
l
d
i h
i l
di
f
i
i i
i Figure 2.8. Comparison of hydrophobicity values for polyesters with different C:O ratios. The decamers incorporated OCH3 initiators and OH endgroups. PCL = polycaprolactone,
PVL = polyvalerolactone, PGBL = poly(g-butyrlactone). LogPoct and Connolly surface
area (SA) calculated with Materials Studio after Forcite geometry optimization. Figure 2.8. Comparison of hydrophobicity values for polyesters with different C:O ratios. The decamers incorporated OCH3 initiators and OH endgroups. PCL = polycaprolactone,
PVL = polyvalerolactone, PGBL = poly(g-butyrlactone). LogPoct and Connolly surface
area (SA) calculated with Materials Studio after Forcite geometry optimization. 63 Figure 2.9. Contact angle of static drop (~10 µL) on Teflon coated septa (orange bars) and
Restek butyl rubber septa (blue bars) for liquid carbonates and anhydrides at ambient
temperature. A comparison of acyclic and cyclic functional groups indicate anhydrides,
such as AA and MSA, exhibit a smaller difference in contact angles (~4° ± 2°) than
carbonate functional groups, like DMC (~37° ± 3°) and PC (~49° ± 3°). Since the
substrates are hydrophobic, larger contact angles indicate more polarity. Figure 2 9 Contact angle of static drop (~10 µL) on Teflon coated septa (orange bars) and Figure 2.9. Contact angle of static drop (~10 µL) on Teflon coated septa (orange bars) and Figure 2.9. Contact angle of static drop (~10 µL) on Teflon coated septa (orange bars) and
Restek butyl rubber septa (blue bars) for liquid carbonates and anhydrides at ambient Figure 2.9. LIST OF REFERENCES Contact angle of static drop (~10 µL) on Teflon coated septa (orange bars) and
Restek butyl rubber septa (blue bars) for liquid carbonates and anhydrides at ambient
temperature. A comparison of acyclic and cyclic functional groups indicate anhydrides,
such as AA and MSA, exhibit a smaller difference in contact angles (~4° ± 2°) than
carbonate functional groups, like DMC (~37° ± 3°) and PC (~49° ± 3°). Since the
substrates are hydrophobic, larger contact angles indicate more polarity. Figure 2.9. Contact angle of static drop (~10 µL) on Teflon coated septa (orange bars) and
Restek butyl rubber septa (blue bars) for liquid carbonates and anhydrides at ambient
temperature. A comparison of acyclic and cyclic functional groups indicate anhydrides,
such as AA and MSA, exhibit a smaller difference in contact angles (~4° ± 2°) than
carbonate functional groups, like DMC (~37° ± 3°) and PC (~49° ± 3°). Since the
substrates are hydrophobic, larger contact angles indicate more polarity. 64 Figure 2.10. TGA data (20 °C/min) (top) and first derivative (bottom)
PCL DP 5, and c) PCL DP 10. Figure 2.10. TGA data (20 °C/min) (top) and first derivative (bottom) for a) PCL DP 2, b)
PCL DP 5, and c) PCL DP 10. Figure 2.10. TGA data (20 °C/min) (top) and first derivative (bottom) for a) PCL DP 2, b)
PCL DP 5, and c) PCL DP 10. 65 Figure 2.11. TGA data (20 °C/min) (top) and first derivative (bottom
PVL DP 5, and c) PVL DP 10. Figure 2.11. TGA data (20 °C/min) (top) and first derivative (bottom) for a) PVL DP 2, b)
PVL DP 5, and c) PVL DP 10. Figure 2.11. TGA data (20 °C/min) (top) and first derivative (bottom) for a) PVL DP 2, b)
PVL DP 5, and c) PVL DP 10. Figure 2.11. TGA data (20 °C/min) (top) and first derivative (bottom) for a) PVL DP 2, b)
PVL DP 5, and c) PVL DP 10. 66 Figure 2.12. Differential scanning calorimetry (DSC) data (20 °C/min) for a) PCL DP2,
b) PCL DP5, and c) PCL DP11. Data taken from second heating cycle. Figure 2.12. Differential scanning calorimetry (DSC) data (20 °C/min) for a) PCL DP2,
b) PCL DP5, and c) PCL DP11. Data taken from second heating cycle. Figure 2.12. Differential scanning calorimetry (DSC) data (20 °C/min) for a) PCL DP2,
b) PCL DP5, and c) PCL DP11. LIST OF REFERENCES Data taken from second heating cycle. 67 Figure 2.13. Differential scanning calorimetry (DSC) data (20 °C/min) for a) PVL DP2,
b) PVL DP5, and c) PVL DP10. Data taken from second heating cycle. Figure 2.13. Differential scanning calorimetry (DSC) data (20 °C/min) for a) PVL DP2,
b) PVL DP5, and c) PVL DP10. Data taken from second heating cycle. Figure 2.13. Differential scanning calorimetry (DSC) data (20 °C/min) for a) PVL DP2,
b) PVL DP5, and c) PVL DP10. Data taken from second heating cycle. Figure 2.13. Differential scanning calorimetry (DSC) data (20 °C/min) for a) PVL DP2,
b) PVL DP5, and c) PVL DP10. Data taken from second heating cycle. 68 MANUSCRIPT – III Published in ACS Macromolecules Bis- and Tris-Urea H-Bond Donors for Ring-Opening Polymerization:
Unprecedented Activity and Control from an Organocatalyst Bis- and Tris-Urea H-Bond Donors for Ring-Opening Polymerization: Unprecedented Activity and Control from an Organocatalyst Kurt V. Fastnacht, Samuel S. Spink, Nayanthara U. Dharmaratne, Jinal U. Pothupitiya,
Partha P. Datta, Elizabeth T. Kiesewetter and Matthew K. Kiesewetter
Chemistry, University of Rhode Island, Kingston, RI, USA
Corresponding Author:
Matthew Kiesewetter, Ph.D.
Chemistry
University of Rhode Island
140 Flagg Road
Kingston, RI, 02881, USA
Email address: mkiesewetter@chm.uri.edu Kurt V. Fastnacht, Samuel S. Spink, Nayanthara U. Dharmaratne, Jinal U. Pothupitiya,
Partha P. Datta, Elizabeth T. Kiesewetter and Matthew K. Kiesewetter
Chemistry, University of Rhode Island, Kingston, RI, USA ABSTRACT A new class of H-bond donating ureas was developed for the ring-opening
polymerization (ROP) of lactone monomers, and they exhibit dramatic rate acceleration
versus previous H-bond mediated polymerization catalysts. The most active of these new
catalysts, a tris-urea H-bond donor, is among the most active organocatalysts known for
ROP, yet it retains the high selectivity of H-bond mediated organocatalysts. The urea
cocatalyst, along with an H-bond accepting base, exhibits the characteristics of a “living”
ROP, is highly active, in one case, accelerating a reaction from days to minutes, and
remains active at low catalyst loadings. The rate acceleration exhibited by this H-bond
donor occurs for all base cocatalysts examined. A mechanism of action is proposed, and
the new catalysts are shown to accelerate small molecule transesterifications versus
currently known mono-thiourea catalysts. It is no longer necessary to choose between a
highly active or highly selective organocatalyst for ROP. 70 70 INTRODUCTION The H-bonding catalysts for ring-opening polymerization (ROP) stand out among
the highly controlled polymerization methods for their ability to tolerate functional groups
while precisely controlling molecular weight and polydispersity.1–7 H-bond donating
cocatalysts are believed to effect a “living” ROP via dual activation of monomer by a H-
bond donor, usually a thiourea (TU), and activation of alcohol chain end by base
cocatalyst.8,9 The exquisite and remarkable combination of rate and selectivity present in
other fields (e.g., olefin polymerization catalysis)10,11 has yet to be paralleled in
organocatalytic ROP, especially H-bond mediated transformations. The development of
organocatalysts for polymerization has largely proceeded along divergent pathways toward
highly selective1,9,12–15 or highly active16–19 catalysts. Indeed, the low activity of
organocatalysts for ROP has been specifically identified as a shortcoming of the field,
whereas highly active metal-containing catalysts for ROP are well-known.20,21 We recently
disclosed a bisthiourea (bisTU) H-bond donating cocatalyst, 2-S in Figure 3.1, for the ROP
of L-lactide (LA), which displayed enhanced catalytic activity (over mono-TU), but no
reduction in reaction control.22 During the process of extending the utility of this system to
other lactone monomers, we developed a trisurea (trisU, 3-O in Figure 3.1) H-bond donor
featuring remarkable activity for the ROP of lactones. Not only does this cocatalyst
demonstrate the utility of the under-explored urea motif (c.f. thiourea) of H-bond donors,
but when applied with a H-bond accepting cocatalyst, it is the most active ROP
organocatalyst known, and one whose enhanced rate does not come at the expense of
reaction control Scheme 3 1 71 EXPERIMENTAL SECTION General Considerations. All manipulations were performed in an MBRAUN
stainless steel glovebox equipped with a gas purification system or using Schlenk technique
under a nitrogen atmosphere. All chemicals were purchased from Fisher Scientific and
used as received unless stated otherwise. Tetrahydrofuran and dichloromethane were dried
on an Innovative Technologies solvent purification system with alumina columns and
nitrogen working gas. Benzene-d6 and chloroform-d were purchased from Cambridge
Isotope Laboratories and distilled from CaH2 under a nitrogen atmosphere. δ-valerolactone
(VL; 99%), ε-caprolactone (CL; 99%) and benzyl alcohol were distilled from CaH2 under
reduced pressure. 1,3-diaminopropane, 3,5-bis(trifluoromethyl)phenyl isocyanate and
cyclohexylamine were purchased from Acros Organics. 3,5-bis(trifluoromethyl)phenyl
isothiocyanate
was
purchased
from
Oakwood
Products. 7-methyl-1,5,7-
triazabicyclo[4.4.0]dec-5-ene (MTBD) was purchased from TCI. Tris(2-aminoethyl)amine
was purchased from Alpha Aesar. The H-bond donors 1-S, 1-O and 2-S were prepared
according to published procedures.23–25 NMR experiments were performed on Bruker
Avance III 300 MHz or 400 MHz spectrometers. Size exclusion chromatography (SEC)
was performed at 40 °C using dichloromethane eluent on an Agilent Infinity GPC system
equipped with three Agilent PLGel columns 7.5 mm × 300 mm (5 μm, pore sizes: 103,
104, 105 Å). Mn and Mw/Mn were determined versus PS standards (500 g/mol-3150 kg/mol,
Polymer Laboratories). Water and acetonitrile were all Optima HPLC grade solvents from
Fisher Chemical (Fair Lawn, NJ, USA). 72 Mass spectrometry was performed using a Thermo Electron (San Jose, CA, USA)
LTQ Orbitrap XL mass spectrometer affixed with either an atmospheric-pressure chemical
ionization (APCI) or electrospray ionization (ESI) interface, positive ions were produced
and introduced into the instrument. Tune conditions for infusion experiments (10 μL/min
flow, sample concentration <20 µg/mL in 50/50 v/v water/acetonitrile) were as follows:
ionspray voltage, 5,000 V; capillary temperature, 275 °C; sheath gas (N2, arbitrary units),
8; auxiliary gas (N2, arbitrary units), 0; capillary voltage, 35 V; and tube lens, 110 V. Prior
to analysis, the instrument was calibrated for positive ions using Pierce LTQ ESI positive
ion calibration solution (lot #PC197784). Ion trap experiments used N2 as a collision gas
with normalized collision energies (NCE) between 10-25 eV for multistage fragmentation. High-energy collision (HCD) experiments were performed with He as the collision gas
with a NCE of 25 eV. Computational Details. The Spartan ’14 package for Windows 7 was used for all
computations. Computed structures were geometry optimized at the B3LYP/6-31G* level
of theory. EXPERIMENTAL SECTION Reported energies were calculated in CH2Cl2 solvent and were calculated at the
B3LYP/6-31G** level of theory from the DFT-optimized structures. Energies, structures
and coordinates are given below. Synthesis of 1-[3,5-bis(trifluoromethyl)phenyl thiourea]-3-aminopropane. A dried
50 mL Schlenk flask was charged with a stir bar, dichloromethane (15.0 mL) and 1,3-
diaminopropane (0.45 mL, 5.40 mmol). 3,5-bis(trifluoromethyl)phenyl isothiocyanate
(1.00 mL, 5.495 mmol) was added dropwise to the round bottom flask. The solution was
stirred for 24 hours, and the solvent was removed under reduced pressure. The resulting
solid was purified via silica gel column chromatography with 90 : 10, dichloromethane : 73 methanol mobile phase. Yield: 21%. 1H NMR (300 MHz, DMSO) spectrum below. Product was carried on without full characterization. 1H NMR (300 MHz, C2D6OS) δ 1.6
(p, J = 6, 2H) 2.65 (t, J = 6, 2H) 3.54 (br, 2H) 7.69 (s, 1H) 8.23 (s, 2H). Synthesis of 2-OS. 1-[3,5-bis(trifluoromethyl)phenyl thiourea]-3-aminopropane
(100.8 mg, 0.292 mmol) was added to a dried 10 mL Schlenk flask containing
dichloromethane (1 mL), 3,5-bis(trifluoromethyl)phenyl isocyanate (74.0 mL, 0.290
mmol). Product precipitated from solution and was isolated by decanting the solvent. Solid
was recrystallized from dichloromethane and dried under high vacuum overnight. Yield:
70%. HRMS m/z calcd (C21H16F12N4OS + H+) 601.0926, found 601.0893. 1H NMR (300
MHz, DMSO-d6) δ 1.74 (p, J = 6, 2H) 3.19 (q, J = 6, 2H) 3.55 (br, 2H) 6.75 (t, J = 6, 1H)
7.53 (s, 1H) 7.73 (s, 1H) 8.08 (s, 2H) 8.24 (s, 2H) 9.33 (s, 1H) 10.15 (s, 1H). 13C NMR (75
MHz, acetone-d6) δ 29.0, 36.8, 41.4, 113.0, 115.7, 116.8, 121.1, 121.5, 123.0 (q), 124.8,
130.2 (q), 141.5, 142.2, 154.5, 180.1. Synthesis of 2-O. A dried 10 mL Schlenk flask was charged with a stir bar,
dichloromethane
(7
mL),
1,3-diaminopropane
(35.9
μL,
0.43
mmol). 3,5-
bis(trifluoromethyl)phenyl isocyanate (148.6 μL, 0.86 mmol) was added dropwise to the
round bottom flask. The resulting slurry was stirred for 1 hr, filtered and washed with cold
dichloromethane. Yield: 97%. HRMS m/z calcd (C21H16F12N4O2 + H+) 585.1154, found
585.1100. 1H NMR (300 MHz, DMSO-d6) δ 1.68 (p, J = 6 Hz, 2H) 3.22 (q, J = 6 Hz, 4H)
6.59 (t, J = 6, 2H) 7.58 (s, 2H) 8.14 (s, 4H) 9.39 (s, 2H). 13C NMR (75 MHz, DMSO-d6) δ
30.3, 36.6, 113.3, 117.1, 123.3 (q), 130.5 (q), 142.6, 154.9. Synthesis of 3-S. EXPERIMENTAL SECTION A dried 100 mL Schlenk flask was charged with a stir bar,
tetrahydrofuran (50 mL), tris(2-aminoethyl) amine (1.05 mL, 6.84 mmol), 3,5- 74 bis(triflouromethyl)phenyl isocyanate (3.90 mL, 21.20 mmol). The solution was left to stir
for 24 hrs and the solvent was subsequently removed in vacuo. The resulting solid product
was purified using a silica gel column with a 90 : 10, hexanes : ethyl acetate mobile phase. Product was removed of volatiles under high vacuum overnight. Yield: 87%. HRMS m/z
calcd (C33H27F18N7S3 + H+) 960.1275, found 960.1262. 1H NMR (300 MHz, acetone-d6)
δ 2.82 (t, J = 6, 6H) 3.68 (m, 6H) 7.44 (s, 3H) 7.71 (br, 2H) 8.04 (s, 6H) 9.40 (br, 2H). 13C
NMR (75 MHz, acetone-d6) δ 43.7, 53.7, 117.6, 123.3, 124.2 (q), 131.8 (q), 142.5, 182.1. Synthesis of 3-O. A dried 100 mL Schlenk flask was charged with a stir bar,
tetrahydrofuran (50 mL), tris(2-aminoethyl) amine (1.03 mL, 6.84 mmol), 3,5-
bis(triflouromethyl)phenylisocyanate (3.6 mL, 21.20 mmol). The solution was stirred for
24 hrs. The solvent was removed in vacuo. Resulting solid was purified using a silica gel
column with a 96:4 dichloromethane:methanol mobile phase. Yield: 88%. HRMS m/z
calcd (C33H27F18N7O3 + H+) 912.1961, found 912.1933. 1H NMR (300 MHz, acetone-d6)
δ 2.58 (t, J = 3, 6H) 3.21 (m, 6H) 6.32 (m, 2 H) 7.29 (s, 3H) 7.86 (s, 6H) 8.58 (s, 2H). 13C
NMR (75 MHz, acetone-d6) δ 39.3, 55.8, 114.9, 118.3, 124.4 (q), 132.3 (q), 143.3, 156.3. Example VL Polymerization Experiment. A 7 mL vial was charged with 3-O (15.2
mg, 0.0167 mmol), MTBD (2.4 μL, 0.0167 mmol), benzyl alcohol (2.08 μL, 0.01999
mmol) and C6D6 (250 μL). In a second 7 mL vial, VL (0.100 g, 0.999 mmol) was dissolved
in C6D6 (249 μL). The contents of the second vial were transferred to the first via pipette
and stirred until homogenous, approximately 1 min. The contents were transferred to an
NMR tube via pipette, and the reaction was monitored by 1H NMR. The reaction was
quenched using benzoic acid (4.06 mg, 0.0333 mmol). Polymer was precipitated with the 75 addition of hexanes. Supernatant was decanted and solid PVL was dried in vacuo. Yield:
89%, Mn = 7,500, Mw/Mn = 1.07. Chain Extension Experiment. A 7 mL vial was loaded with 3-O (13.3 mg, 0.015
mmol), MTBD (2.2 mg, 0.015 mmol), 1-pyrenebutanol (9.6 mg, 0.035 mmol), and C6D6
(219 μL). EXPERIMENTAL SECTION In a second 7mL vial, CL (100 mg, 0.876 mmol) and C6D6 (219 μL) were loaded. The contents of the second vial were added to the first and stirred. After 15 min, a 150 μL
aliquot was taken from the reaction vial, quenched with benzoic acid (1.2mg, 0.010 mmol),
and additional CL (197.3 mg, 1.723 mmol) was added to the reaction vial. After another
50 min, a second aliquot was quenched with benzoic acid (1.2 mg, 0.010 mmol). Samples
from both the first and second aliquots were then transferred to NMR tubes and conversion
was determined via 1H NMR analysis. The remainder of the aliquots was precipitated with
the addition of hexane, and the supernatants were decanted. Each solid PCL sample was
dried in vacuo, and GPC analysis was performed. Example Copolymerization Experiment. A 7 mL vial was charged with 3-O (15.2
mg, 0.0167 mmol), MTBD (2.4 μL, 0.0167 mmol), benzyl alcohol (1.04 μL, 0.00999
mmol) and C6D6 (250 μL). In a second 7 mL vial, VL (0.100 g, 0.999 mmol) and CL (0.144
g, 0.999 mmol) were dissolved in C6D6 (249 μL). The contents of vial 2 were transferred
to the first via pipette and stirred until homogenous, approximately 5 sec. The contents
were transferred to an NMR tube via pipette, and the reaction was monitored by 1H NMR. The reaction was quenched using benzoic acid (4.06 mg, 0.0333 mmol). Polymer was
precipitated with the addition of hexanes. Supernatant was decanted and solid polymer was
dried in vacuo, 91% yield (196 mg), Mn = 21,400; Mw/Mn = 1.21. 76 Example ROP of Lactide. L-lactide (72 mg, 0.5 mmol) and o-dichlorobenzene (0.5
mL) were added into a 7 mL vial and stirred until a homogenous solution was obtained. To
a second 7 mL vial, benzyl alcohol (2.163 mg, 0.02 mmol), Me6TREN (0.008 mmol) and
3-O (0.008 mmol) were added. Contents from the first vial were transferred into vial 2 via
Pasteur pipette. The contents were mixed and transferred to an NMR tube. Reaction
progression was monitored by 1H NMR. After 30 min, the reaction had reached 55%
conversion and was quenched with benzoic acid. The reaction was removed of volatiles
and treated with hexanes/isopropanol (1:1) to dissolve monomer. The residual polymer was
subjected to dialysis in DCM against methanol. Yield: 38 mg, 52%; Mn = 2,700; Mw/Mn =
1.11. 1.11. Example Transesterification Experiment. Ethyl acetate (100 mg. 1.14 mmol), 1-S
(0.057 mmol) and C6D6 (0.22 mL) were added to a 7 ml glass vial. To a second 7 mL glass
vial, benzyl alcohol (122.7 mg, 1.14 mmol), MTBD (0.057 mmol) and C6D6 (0.22 mL)
were added. The contents of vial 2 were transferred via Pasteur pipette to vial 1, and the
solution was stirred until homogeneous (1 min). The solution was transferred to an NMR
tube, and reaction progression was monitored by 1H NMR. 77 77 RESULTS AND DISCUSSION The effects of bisTU on the ROP of δ-valerolactone (VL) and ε-caprolactone (CL) were
evaluated, and the rate acceleration in the presence of 2-S versus 1-S is general to both
lactone monomers. For the ROP of either VL or CL (2 M, 100 mg) from benzyl alcohol in
C6D6, the application of 2-S/MTBD (2.5 mol % each) produces a rate acceleration over the
traditional monothiourea (1-S/MTBD 5 mol % each) that is not associated with loss of
reaction control, Table 3.1. The reactions retain the characteristics of “living”
polymerizations, exhibiting a linear evolution of Mn versus conversion, first order
consumption of monomer, Mn that is predictable by [M]o/[I]o and a living chain end that is
susceptible to chain extension, see Figures 3.2-7. The imine base, DBU, and phosphazene
base, BEMP, are also effective cocatalysts for the ROP of lactones (with 2-S), but the
reaction is more active with MTBD cocatalyst, Table 3.1. ROP involving 2-S is suggested to proceed through an activated-TU mechanism, whereby
one TU moiety activates the other, which in turn activates the monomer. The ROPs of VL
and CL are first order in the consumption of monomer (Figure 3.3 and 3.10), which
suggests one bisTU (2-S) molecule activating one monomer in the transition state. This is
consistent with previous suggestions that H-bond-mediated ROP operates via dual
activation of monomer by 1 and of alcohol chain end by base.1 Because H-bonds require
no orbital overlap and are electrostatic in nature,26 we cannot rule out a dual-thiourea
activated mechanism, Eq. 2.1. However, computational studies for the activation of
lactones by 2-S suggest an activated-TU mechanism is preferred over a dual-thiourea 78 activation mechanism, Eq. 2.1; this assertion is also supported by the 2-S/alkylamine
cocatalyzed ROP of lactide.22,27 The series of thiourea H-bond donating catalysts was extended to a trisTU H-bond donor,
3-S, but this catalyst exhibits significantly reduced activity versus 1-S or 2-S in the TU/base
cocatalyzed ROP of lactones, Table 3.1. This suggests that simply adding TU moieties does
not result in faster ROP. Geometry optimized DFT computations suggest that a stable
conformation of 3-S is the C3 symmetric structure, see Figure 3.15 and 3.16. This
calculated structure features a cyclic arrangement of the three TU moieties, each serving
as a H-bond donor and a H-bond acceptor to each of the adjacent TU moieties with H-bond
lengths of 2.61 ± 0.07 Å. RESULTS AND DISCUSSION We hypothesize that the added stability due to the three
intramolecular H-bonds attenuates the activity of 3-S (versus 2-S). In contrast, the
intramolecular H-bond activation in 2-S leaves a TU moiety available for catalysis. Additive effects from multiple TU moieties are found in nature,28 and such constructs have
been observed to be beneficial to catalysis,22,29,30 although not universally so.24,31 Interested
in extending the suite of H-bond-mediated catalysts, we noted that changing the C=S to the
shorter C=O bond would be expected to disrupt the intramolecular H-bond network, freeing
one urea moiety for catalysis. The trisurea H-bond donor (3-O) is predicted by DFT
calculations to have much longer average H-bond lengths versus 3-S, 2.92 ± 0.81 Å. The application of the trisU (3-O) catalyst in combination with organic bases effects the
fastest organocatalytic ROP of lactones that has been reported, yet the reaction remains
highly controlled.3,17–21 The 3-O/MTBD (1.67 mol % each) catalyzed ROP of VL (2 M,
100 mg) from benzyl alcohol (2 mol %) proceeds to full conversion in 3 min, Table 3.2. The comparable reactions with 2-S/MTBD (2.5 mol % each) or 1-S/MTBD (5 mol % each) 79 achieve full conversion in 102 min or 2 h, respectively. The rate acceleration for the ROP
of CL with 3-O/MTBD is even more remarkable; this reaction achieves full conversion in
26 min. This constitutes a marked rate acceleration versus 2-S or 1-S with MTBD, which
achieves full conversion in 10 or 45 h, respectively, and the polydispersities for the 3-
O/MTBD catalyzed ROP of VL or CL remain less than Mw/Mn = 1.07, Table 3.2. The 3-
O mediated ROPs of both monomers are highly controlled, exhibiting the characteristics
of “living” polymerizations, (see Figures 3.10 and 3.11). Initiation of a CL ROP from 1-
pyrenebutanol produces PCL with overlapping refractive index and UV traces in the GPC,
suggesting end-group fidelity; the “living” alcohol chain end is susceptible to chain
extension by repeated additions of monomer, (see Figure 3.13). The 3-O/MTBD
cocatalysts remain active at low concentration; full conversion for the ROP of VL (2 M,
C6D6) from benzyl alcohol ([M]o/[I]o = 50) was achieved in 5 h at 0.25 mol % 3-O/MTBD
loading, (see Table 3.4). The efficacy of 3-O/base cocatalysts for the ROP of other ester and carbonate monomers
was evaluated. The 3-O/MTBD (1.67 mol %) cocatalysts are effective for the ROP of
trimethylene carbonate (TMC). RESULTS AND DISCUSSION This reaction (100 mg TMC, 1 M in CH2Cl2) reaches 97%
conversion in 1 min (Mn = 9,000; Mw/Mn = 1.05; [M]o/[I]o = 50), which is more active than
the 1-S/DBU catalyzed ROP of TMC.5 For the ROP of LA, 3-O (with tris[2-
(dimethylamino)ethyl]amine) exhibits a solvent incompatibility with LA and PLA,
resulting in the precipitation of polymer or catalyst prior to full conversion (see Figure
3.17). The best conversion was achieved in o-dichlorobenzene, 55% in 30 min (Mn = 2,700;
Mw/Mn = 1.11; [M]o/[I]o = 25; 52% yield). This is less active than our previously reported
catalyst, 2-S, which reaches full conversion in minutes.22 MALDI analysis of the PLA 80 resulting from the ROP of LA shows only minor transesterification (m/z = ±72n; see Figure
3.17). A copolymerization of VL and CL was conducted with 3-O/MTBD. As determined
by 1H NMR, the consumption of VL is almost complete prior to the incorporation of CL
units, suggesting the formation of a gradient-copolymer (see Figure 3.12 and Experimental
Section; Mn = 21,400; Mw/Mn = 1.29; 91% yield). The H-bond donor 3-O with MTBD is
not active for the ROP of β-butyrolactone, which is consistent with other H-bonding ROP
catalysts.8 resulting from the ROP of LA shows only minor transesterification (m/z = ±72n; see Figure
3.17). A copolymerization of VL and CL was conducted with 3-O/MTBD. As determined
by 1H NMR, the consumption of VL is almost complete prior to the incorporation of CL
units, suggesting the formation of a gradient-copolymer (see Figure 3.12 and Experimental
Section; Mn = 21,400; Mw/Mn = 1.29; 91% yield). The H-bond donor 3-O with MTBD is
not active for the ROP of β-butyrolactone, which is consistent with other H-bonding ROP
catalysts.8 It is proposed here that 3-O/MTBD cocatalyzed ROP occurs via an activated-urea
mechanism, whereby a single 3-O activates a lactone and MTBD activates an alcohol chain
end through H-bonding, Scheme 3.2. A plot of observed rate constant (kobs) versus [3-O]
for the ROP of VL from benzyl alcohol suggests that the ideal stoichiometry of the 3-
O/MTBD catalyzed reaction is 1:1 (see Figure 3.14). Further, the 3-O/MTBD cocatalyzed
ROP of VL is first order in monomer (see Figure 3.9), which suggests that a single 3-O
molecule acting at one monomer is present in the transition state. RESULTS AND DISCUSSION This is consistent with
previous reports that suggest that H-bond donors featuring multiple (thio)urea moieties
activate one reagent prior to the TU-reagent complex undergoing further chemistry,22,32
and it is also consistent with a report of a urea-thiourea H-bond donating catalyst, which
was proposed to be operative via an activated-(thio)urea mechanism.28 Indeed, 1H NMR
spectra (in acetone) of 1-O, 2-O, and 3-O show a progressive downfield shift of the N−H
protons, which can be interpreted to arise from stronger intramolecular H-bonding in 3-O
and 2-O versus 1-O. A multiurea activated mechanism (e.g., Eq. 2.1), which is reminiscent
of a solvophobic pocket, cannot be ruled out. However, the marked inefficacy toward ROP
of 3-S which is geometrically able to adopt a conformation featuring strong intramolecular It is proposed here that 3-O/MTBD cocatalyzed ROP occurs via an activated-urea
mechanism, whereby a single 3-O activates a lactone and MTBD activates an alcohol chain
end through H-bonding, Scheme 3.2. A plot of observed rate constant (kobs) versus [3-O]
for the ROP of VL from benzyl alcohol suggests that the ideal stoichiometry of the 3-
O/MTBD catalyzed reaction is 1:1 (see Figure 3.14). Further, the 3-O/MTBD cocatalyzed
ROP of VL is first order in monomer (see Figure 3.9), which suggests that a single 3-O
molecule acting at one monomer is present in the transition state. This is consistent with
previous reports that suggest that H-bond donors featuring multiple (thio)urea moieties
activate one reagent prior to the TU-reagent complex undergoing further chemistry,22,32 81 H-bonds (see Figure 3.15 and 3.16), suggests that the activated-urea mechanism is the more
robust proposal. Among catalysts for the ROP of lactones, the 3-O/base cocatalysts stand
out due to the extremely rapid rate that they exhibit at room temperature. For comparison,
we conducted the ROP of CL (2 M) from benzyl alcohol (1 mol %) with the bifunctional
catalyst TBD, Table 3.2. The guanidine base, TBD (Figure 3.1), has been regarded as one
of the most active organocatalysts available for the ROP of lactones.16 The TBD catalyzed
ROP of CL from benzyl alcohol (Table 3.2, entry 12) proceeds to 93% conversion in 140
min (Mw/Mn = 1.37), whereas the same ROP with 3-O/MTBD (Table 3.2, entry 8) achieves
97% conversion in 26 min (Mw/Mn = 1.05). RESULTS AND DISCUSSION In small molecule transformations, urea H-
bond donating catalysts have been observed to possess similar activity to their heavy
chalcogen counterparts.33 The development of urea and thiourea H-bond donating catalysts
continued apace until the turn of the millennium when several reports emerged that extolled
the operational (e.g., increased solubility)34,35 and synthetic (e.g., higher yields and
enantioselectivities)35–37 benefits of thioureas over ureas. In our estimation, the ubiquity of
the thiourea motif in H-bond mediated transformations may be more due to the coincidental
timing of these reports than any general superiority of thioureas over urea H-bonding
catalysts. Indeed, ureas are more polar than thioureas and should be expected to be better
H-bond activators,33 and in some catalysis applications, urea catalysts are clearly
superior.38,39 The late Margaret Etter may have presaged our observation of 3-O as an
effective H-bond donating catalyst in her characterization of aryl ureas featuring meta-
electron withdrawing groups by noting that urea carbonyls are good H-bond acceptors.38
The urea versions of 2 and 1 were synthesized and evaluated for their efficacy in the ROP
of VL (2 M, 100 mg, 1 equiv.) from benzyl alcohol (2 mol %) in C6D6. In general, all n-O The urea versions of 2 and 1 were synthesized and evaluated for their efficacy in the ROP
of VL (2 M, 100 mg, 1 equiv.) from benzyl alcohol (2 mol %) in C6D6. In general, all n-O 82 (n = 1, 2, or 3) catalysts were more active than the corresponding n-S H-bond donors,
Tables 3.1 and 3.2. For the 2-X (X = O, S, or OS) H-bond donors, the rate of ROP increases
with the progressive substitution of O (versus S) and Mw/Mn remains low. These results
suggest the increased utility of ureas versus thioureas for H-bond-mediated ROP. All
reported urea catalysts are soluble under the desired reaction conditions with the exception
of 2-O, which requires an extra equivalent of MTBD to become homogeneous in C6D6.40
A plot of the observed rate constant (kobs) versus [MTBD] for the ROP of CL from benzyl
alcohol increases linearly under conditions [MTBD] ≤ [2-S], but becomes zero order in
[MTBD] when [MTBD] > [2-S], (see Figure 3.7). This suggests that the proper
stoichiometry of the 2-S/MTBD catalyzed reaction is 1:1. The catalysts (1−3 with MTBD)
are all operative in CH2Cl2, CHCl3, and THF albeit with slightly reduced reaction rates or
Mw/Mn (see Table 3.5). RESULTS AND DISCUSSION Preliminary studies suggest that these catalysts exhibit the same
reactivity trends in small molecule transesterification and, hence, may have general
applicability beyond ROP. The transesterification of ethyl acetate (1.6 M) with benzyl
alcohol (1.6 M) was conducted in C6D6. Observed rate constants (kobs) at early reaction
time were measured for each H-bond donor/MTBD cocatalyzed transesterification. These
rate constants show the same trends in catalyst activity that were observed for the ROP
reactions: 3-O is the most rapid catalyst and it is 1−2 orders of magnitude more rapid than
1-S, (see Table 3.3). This suggests a general role for the increased activation of esters by
urea H-bond donors (versus thioureas), yet the slower rates for the transesterification of s-
trans (versus s cis) esters accounts for the low rate of transesterification post A plot of the observed rate constant (kobs) versus [MTBD] for the ROP of CL from benzyl
alcohol increases linearly under conditions [MTBD] ≤ [2-S], but becomes zero order in
[MTBD] when [MTBD] > [2-S], (see Figure 3.7). This suggests that the proper
stoichiometry of the 2-S/MTBD catalyzed reaction is 1:1. The catalysts (1−3 with MTBD)
are all operative in CH2Cl2, CHCl3, and THF albeit with slightly reduced reaction rates or
Mw/Mn (see Table 3.5). Preliminary studies suggest that these catalysts exhibit the same
reactivity trends in small molecule transesterification and, hence, may have general
applicability beyond ROP. The transesterification of ethyl acetate (1.6 M) with benzyl
alcohol (1.6 M) was conducted in C6D6. Observed rate constants (kobs) at early reaction
time were measured for each H-bond donor/MTBD cocatalyzed transesterification. These
rate constants show the same trends in catalyst activity that were observed for the ROP
reactions: 3-O is the most rapid catalyst and it is 1−2 orders of magnitude more rapid than
1-S, (see Table 3.3). This suggests a general role for the increased activation of esters by
urea H-bond donors (versus thioureas), yet the slower rates for the transesterification of s-
trans (versus s-cis) esters accounts for the low rate of transesterification post
polymerization, (see Table 3.6). 83 CONCLUSION Urea H-bond donors in combination with base cocatalysts have been shown to be
highly effective for the ROP of lactones. Despite being among the most rapid
organocatalysts for ROP, the 3-O/MTBD cocatalyzed ROPs of VL and CL are among the
most controlled polymerizations, exhibiting the characteristics of “living” polymerizations
and producing polymers with narrow Mw/Mn. The source of the rate acceleration versus
mono- and bisurea H-bond donors is proposed to arise from successively increased
intramolecular H-bond activation with each additional urea moiety. The reintroduction of
the urea motif of H-bond donors to the lexicon of organocatalytic (ROP) chemistry
provides a rich diversity of catalyst scaffolds to explore in mono-, bis-, tris-, and poly-H-
bond donors. Previous to the discovery of trisurea cocatalyzed ROP, one was forced to
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Science, 2006; pp 145–222. (27) Kazakov, O. I.; Kiesewetter, M. K. Macromolecules 2015, 48 (17), 6121–6126. (28) Jones, C. R.; Dan Pantoş, G.; Morrison, A. J.; Smith, M. D. Angew. Chemie Int. Ed. 2009, 48 (40), 7391–7394. (29) Shi, Y.; Lin, A.; Mao, H.; Mao, Z.; Li, W.; Hu, H.; Zhu, C.; Cheng, Y. Chem. – A
Eur. J. 2013, 19 (6), 1914–1918. (30) Sohtome, Y.; Tanatani, A.; Hashimoto, Y.; Nagasawa, K. Tetrahedron Lett. 2004,
45 (29), 5589–5592. (31) Li, X.; Deng, H.; Luo, S.; Cheng, J.-P. European J. Org. Chem. 2008, 2008 (25),
4350–4356. (32) Breugst, M.; Houk, K. N. J. Org. Chem. 2014, 79 (13), 6302–6309. (33) Doyle, A. G.; Jacobsen, E. N. Chem. Rev. 2007, 107 (12), 5713–5743. 87 (34) Curran, D. P.; Kuo, L. H. Tetrahedron Lett. 1995, 36 (37), 6647–6650. (35) Wittkopp, A.; Schreiner, P. R. Chem. - A Eur. J. 2003, 9 (2), 407–414. (36) Wenzel, A. G.; Jacobsen, E. N. J. Am. Chem. Soc. 2002, 124 (44), 12964–12965. (36) Wenzel, A. (40) Kazakov, O. I.; Datta, P. P.; Isajani, M.; Kiesewetter, E. T.; Kiesewetter, M. K.
Macromolecules 2014, 47, 7463–7468. LIST OF REFERENCES G.; Jacobsen, E. N. J. Am. Chem. Soc. 2002, 124 (44), 12964–12965. (37) Vachal, P.; Jacobsen, E. N. J. Am. Chem. Soc. 2002, 124 (34), 10012–10014. (37) Vachal, P.; Jacobsen, E. N. J. Am. Chem. Soc. 2002, 124 (34), 10012–10014. (38) Etter, M. C.; Panunto, T. W. J. Am. Chem. Soc. 1988, 110 (17), 5896–5897. (38) Etter, M. C.; Panunto, T. W. J. Am. Chem. Soc. 1988, 110 (17), 5896–5897. (39) Berkessel, A.; Cleemann, F.; Mukherjee, S.; Mueller, T. N.; Lex, J. Angew. Chemie
- Int. Ed. 2005, 44 (5), 807–811. (40) Kazakov, O. I.; Datta, P. P.; Isajani, M.; Kiesewetter, E. T.; Kiesewetter, M. K. Macromolecules 2014, 47, 7463–7468. 88 Entry
Monomer
TU
(mol%)
Base
(mol%)
Time
(min)
Conv.a
(%)
Mnb
(g/mol)
Mw/Mnb
1
VL
1-S (5%)
MTBD (5%)
110
94
8,300
1.06
2
2-S (2.5%)
MTBD (2.5%)
80
90
6,800
1.07
3
2-S (2.5%)
BEMP (2.5%)
84
91
8,900
1.06
4
2-S (2.5%)
DBU (2.5%)
90
86
8,400
1.05
5
3-S (1.67%)
MTBD (1.67%)
230
90
7 600
1.06
6
CL
1-S (5%)
MTBD (5%)
45 h
90
7,200
1.09
7
2-S (2.5%)
MTBD (2.5%)
10 h
89
7,200
1.11
8
3-S (1.67%)
MTBD (1.67%)
42 h
55
6,100
1.07 Table 3.1. MTBD and 1-S, 2-S or 3-S catalyzed ROP of VL and CL. Reaction conditions:
VL or CL (1.0 mmol, 1 equiv., 2M), benzyl alcohol (2 mol%), C6D6. a) monomer
conversion was determined via 1H NMR. b) Mn and Mw/Mn were determined by GPC
(CH2Cl2) versus polystyrene standards. LIST OF REFERENCES 89 Entry
Monomer
TU or U
(mol%)
[M]o/[I]o
Time (min)
Conv.a (%)
Mnb (g/mol)
Mw/Mnb
1
VL
1-O (5%)
50
70
90
6,100
1.08
2
2-OS (2.5%)
50
88
90
8,100
1.07
3
2-O (2.5%) d
50
34
90
8,000
1.07
4
3-O (1.67%)
50
3
89
7,500
1.07
5
100
6
90
15,000
1.04
6
200
10
92
28,600
1.02
7
500
16
92
41,500
1.02
8
CL
3-O (1.67%)
50
26
97
7,900
1.05
9
100
57
94
18,500
1.02
10
200
116
94
30,700
1.03
11
500
166
93
58,600
1.03
12d
TBD (1.67%)
50
140
93
10,400
1.37 Entry
Monomer
TU or U
(mol%)
[M]o/[I]o
Time (min)
Conv.a (%)
Mnb (g/mol)
Mw/Mnb
1
VL
1-O (5%)
50
70
90
6,100
1.08
2
2-OS (2.5%)
50
88
90
8,100
1.07
3
2-O (2.5%) d
50
34
90
8,000
1.07
4
3-O (1.67%)
50
3
89
7,500
1.07
5
100
6
90
15,000
1.04
6
200
10
92
28,600
1.02
7
500
16
92
41,500
1.02
8
CL
3-O (1.67%)
50
26
97
7,900
1.05
9
100
57
94
18,500
1.02
10
200
116
94
30,700
1.03
11
500
166
93
58,600
1.03
12d
TBD (1.67%)
50
140
93
10,400
1.37 Table 3.2. 1-O, 2-O or 3-O and MTBD cocatalyzed ROP of lactones. Reaction conditions:
VL or CL (1.0 mmol, 1 equiv., 2M), urea or thiourea (given mol%), MTBD (mol% matched
to H-bond donor). a) Monomer conversion monitored via 1H NMR. b) Mn and Mw/Mn were
determined by GPC (CH2Cl2) versus polystyrene standards. c) 2-O (2.5 mol%) and MTBD
(5 mol%) cocatalysts. d) no (thio)urea or MTBD cocatalysts were used in this run. Table 3.2. 1-O, 2-O or 3-O and MTBD cocatalyzed ROP of lactones. Reaction conditions:
VL or CL (1.0 mmol, 1 equiv., 2M), urea or thiourea (given mol%), MTBD (mol% matched
to H-bond donor). a) Monomer conversion monitored via 1H NMR. b) Mn and Mw/Mn were
determined by GPC (CH2Cl2) versus polystyrene standards. c) 2-O (2.5 mol%) and MTBD
(5 mol%) cocatalysts. d) no (thio)urea or MTBD cocatalysts were used in this run. LIST OF REFERENCES 90 Entry
TU or U
(mol%)
kobs
(1/min)a
[EA]eq
(M)b
1
1-S (5%)
0.000 80
1.08
2
1-O (5%)
0.003 57
0.88
3
2-S (2.5%)
0.000 55
0.99
4
2-O (2.5%)
0.004 10
0.99
5
3-S (1.67%)
0.000 61
1.19
6
3-O (1.67%)
0.002 11
0.89 Entry
TU or U
(mol%)
kobs
(1/min)a
[EA]eq
(M)b
1
1-S (5%)
0.000 80
1.08
2
1-O (5%)
0.003 57
0.88
3
2-S (2.5%)
0.000 55
0.99
4
2-O (2.5%)
0.004 10
0.99
5
3-S (1.67%)
0.000 61
1.19
6
3-O (1.67%)
0.002 11
0.89 Entry
TU or U
(mol%)
kobs
(1/min)a
[EA]eq
(M)b
1
1-S (5%)
0.000 80
1.08
2
1-O (5%)
0.003 57
0.88
3
2-S (2.5%)
0.000 55
0.99
4
2-O (2.5%)
0.004 10
0.99
5
3-S (1.67%)
0.000 61
1.19
6
3-O (1.67%)
0.002 11
0.89 Table 3.3. Transesterification of ethyl acetate. a) Observed rate constant for the first order
disappearance of [EA] versus time. Rate constant was extracted from the linear portion of
the data, up to ~20% conversion. b) Concentration of ethyl acetate remaining at
equilibrium. 91 Entry mol% cats. (each) Time (min) Conva
Mnb
Mw/Mnb
1
1.67
3
89
7,500
1.07
2
1
10
91
7,100
1.07
3
0.5
40
93
7,700
1.07
4
0.25
300
93
7,200
1.07
5
0.1
24hr
0
NA
NA Table 3.4. Low 3-O/MTBD Cocatalyst Loadings in the ROP of VL. Reaction conditions:
VL(0.998 mmol, 1 equiv., 2M), C6D6 and benzyl alcohol (2 mol%). a) Monomer
conversion was monitored via 1H NMR. b) Mn and Mw/Mn were determined by GPC
(CH2Cl2) versus polystyrene standards. 92 Table 3.5. Solvent Screen in the 3-O/MTBD Cocatalyzed ROP of VL. LIST OF REFERENCES Reaction conditions:
VL (0.998 mmol, 1 equiv., 2M), 1 mol% benzyl alcohol, a) monomer conversion was
Entry
Solvent
Time (min)
Conva
Mnb
Mw/Mnb
1
C6D6
4
91
12,200
1.04
2
CH2Cl2
5
90
14,800
1.05
3
CHCl3
5
90
7,000
1.07
4
Cl-C6H5
4
93
10,000
1.08
5
THF
5
89
13,600
1.05 Entry
Solvent
Time (min)
Conva
Mnb
Mw/Mnb
1
C6D6
4
91
12,200
1.04
2
CH2Cl2
5
90
14,800
1.05
3
CHCl3
5
90
7,000
1.07
4
Cl-C6H5
4
93
10,000
1.08
5
THF
5
89
13,600
1.05 Entry
Solvent
Time (min)
Conva
Mnb
Mw/Mnb
1
C6D6
4
91
12,200
1.04
2
CH2Cl2
5
90
14,800
1.05
3
CHCl3
5
90
7,000
1.07
4
Cl-C6H5
4
93
10,000
1.08
5
THF
5
89
13,600
1.05 Table 3.5. Solvent Screen in the 3-O/MTBD Cocatalyzed ROP of VL. Reaction conditions:
VL (0.998 mmol, 1 equiv., 2M), 1 mol% benzyl alcohol, a) monomer conversion was
monitored via 1H NMR. b) Mn and Mw/Mn were determined by GPC. Table 3.5. Solvent Screen in the 3-O/MTBD Cocatalyzed ROP of VL. Reaction conditions:
VL (0.998 mmol, 1 equiv., 2M), 1 mol% benzyl alcohol, a) monomer conversion was
monitored via 1H NMR. b) Mn and Mw/Mn were determined by GPC. 93 e 3.6. Post-polymerization Transesterification in 3-O/MTBD Cocatalyzed ROP. tion conditions: VL (0.998 mmol, 1 equiv., 2M), 2 mol% benzyl alcohol, a) monomer
ersion was monitored via 1H NMR. b) Mn and Mw/Mn were determined by GPC. Entry
Monomer
Time (min)
Conva
Mnb
Mw/Mnb
1
VL
3
93
6,200
1.10
2
VL
6
93
6,300
1.12
3
VL
60
94
6,600
1.21
4
CL
25
91
9,000
1.04
5
CL
60
98
10,000
1.05
6
CL
120
99
10,000
1.09 Entry
Monomer
Time (min)
Conva
Mnb
Mw/Mnb
1
VL
3
93
6,200
1.10
2
VL
6
93
6,300
1.12
3
VL
60
94
6,600
1.21
4
CL
25
91
9,000
1.04
5
CL
60
98
10,000
1.05
6
CL
120
99
10,000
1.09 Table 3.6. Post-polymerization Transesterification in 3-O/MTBD Cocatalyzed ROP. Reaction conditions: VL (0.998 mmol, 1 equiv., 2M), 2 mol% benzyl alcohol, a) monomer
conversion was monitored via 1H NMR. b) Mn and Mw/Mn were determined by GPC. Table 3.6. Post-polymerization Transesterification in 3-O/MTBD Cocatalyzed ROP. Reaction conditions: VL (0.998 mmol, 1 equiv., 2M), 2 mol% benzyl alcohol, a) monomer
conversion was monitored via 1H NMR. b) Mn and Mw/Mn were determined by GPC. LIST OF REFERENCES Eq. 2.1. Intramolecular conformational arrangement of 2-S done computationally. Eq. 2.1. Intramolecular conformational arrangement of 2-S done computationally. 94 Scheme 3.1. Highly active and highly selective H-bond donor 3-O. Scheme 3.1. Highly active and highly selective H-bond donor 3-O. Scheme 3.2. Proposed mechanism for 3-O/MTBD catalyzed ROP. Scheme 3.2. Proposed mechanism for 3-O/MTBD catalyzed ROP. 95 Figure 3.1. Base and (thio)urea cocatalysts evaluated for ROP. Figure 3.1. Base and (thio)urea cocatalysts evaluated for ROP. Figure 3.2. Mn versus conversion for the 2-S/MTBD catalyzed ROP of VL. Conditions:
VL (2.994 mmol, 1 equiv., 1M in C6D6), benzyl alcohol (2 mol%, 0.0598 mmol), MTBD
(5 mol%, 0.1497 mmol) and 2-S (5 mol%, 0.1496 mmol). (blue is Mn, red is Mw/Mn). Figure 3.2. Mn versus conversion for the 2-S/MTBD catalyzed ROP of VL. Conditions:
VL (2.994 mmol, 1 equiv., 1M in C6D6), benzyl alcohol (2 mol%, 0.0598 mmol), MTBD
(5 mol%, 0.1497 mmol) and 2-S (5 mol%, 0.1496 mmol). (blue is Mn, red is Mw/Mn). 96 Figure 3.3. First order evolution of [VL] versus time for the 2-S/MTBD catalyzed ROP of
VL. Conditions: VL (0.999 mmol, 1 equiv., 2M in C6D6), benzyl alcohol (2.0 mol%,
0.0199 mmol), MTBD (5.0 mol%, 0.0499 mmol) and 2-S (5.0 mol%, 0.0499 mmol). Figure 3.3. First order evolution of [VL] versus time for the 2-S/MTBD catalyzed ROP of
VL. Conditions: VL (0.999 mmol, 1 equiv., 2M in C6D6), benzyl alcohol (2.0 mol%,
0.0199 mmol), MTBD (5.0 mol%, 0.0499 mmol) and 2-S (5.0 mol%, 0.0499 mmol). Figure 3.4. Mn versus [VL]o/[I]o for the 2-S/MTBD catalyzed ROP of VL. Conditions: VL
(0.999 mmol, 1 equiv., 1M in C6D6), benzyl alcohol (2 mol%, 0.0199 mmol), MTBD (5.0
mol%, 0.0499 mmol) and 2-S (5.0 mol%, 0.0499 mmol). Figure 3.4. Mn versus [VL]o/[I]o for the 2-S/MTBD catalyzed ROP of VL. Conditions: VL
(0.999 mmol, 1 equiv., 1M in C6D6), benzyl alcohol (2 mol%, 0.0199 mmol), MTBD (5.0
mol%, 0.0499 mmol) and 2-S (5.0 mol%, 0.0499 mmol). 97 Figure 3.5. GPC traces of the polymer resulting from the 2-S/MTBD (5 mol% each, 0.0499
mmol) cocatalyzed ROP and subsequent chain extension of VL (0.999 mmol, then 0.999
mmol more) from 1-pyrenebutanol (0.0199 mmol) in C6D6 (999 μL). Figure 3.5. GPC traces of the polymer resulting from the 2-S/MTBD (5 mol% each, 0.0499
mmol) cocatalyzed ROP and subsequent chain extension of VL (0.999 mmol, then 0.999
mmol more) from 1-pyrenebutanol (0.0199 mmol) in C6D6 (999 μL). LIST OF REFERENCES 98 Figure 3.6. Observed rate constant (kobs, min-1) versus [MTBD] in the 2-S/MTBD catalyzed
ROP of VL. Conditions: VL (0.999 mmol, 1 equiv, 1M in C6D6), benzyl alcohol (2 mol%,
0.0199 mmol), MTBD (2.5 mol%, 0.025M). Figure 3.6. Observed rate constant (kobs, min-1) versus [MTBD] in the 2-S/MTBD catalyzed
ROP of VL. Conditions: VL (0.999 mmol, 1 equiv, 1M in C6D6), benzyl alcohol (2 mol%,
0.0199 mmol), MTBD (2.5 mol%, 0.025M). Figure 3.6. Observed rate constant (kobs, min-1) versus [MTBD] in the 2-S/MTBD catalyzed
ROP of VL. Conditions: VL (0.999 mmol, 1 equiv, 1M in C6D6), benzyl alcohol (2 mol%,
0.0199 mmol), MTBD (2.5 mol%, 0.025M). Figure 3.7. Observed rate constant (kobs, h-1) versus [2-S] in the 2-S/MTBD catalyzed ROP
of CL. Conditions: CL (0.999 mmol, 1 equiv., 2M in C6D6), benzyl alcohol (2 mol%,
0.0199 mmol), 2-S (0.05M). Figure 3.7. Observed rate constant (kobs, h-1) versus [2-S] in the 2-S/MTBD catalyzed ROP
of CL. Conditions: CL (0.999 mmol, 1 equiv., 2M in C6D6), benzyl alcohol (2 mol%,
0.0199 mmol), 2-S (0.05M). 99 Figure 3.8. Mn vs conversion of VL for the 3-O/MTBD catalyzed ROP of VL. Conditions:
VL (0.999 mmol, 1 equiv., 2M in C6D6), benzyl alcohol (1mol%, 0.0199 mmol), MTBD
(1.67 mol%, 0.0166 mmol) and 3-O (1.67 mol%, 0.0166 mmol). (blue is Mn, red is Mw/Mn). Figure 3.8. Mn vs conversion of VL for the 3-O/MTBD catalyzed ROP of VL. Conditions:
VL (0.999 mmol, 1 equiv., 2M in C6D6), benzyl alcohol (1mol%, 0.0199 mmol), MTBD
(1.67 mol%, 0.0166 mmol) and 3-O (1.67 mol%, 0.0166 mmol). (blue is Mn, red is Mw/Mn). Figure 3.8. Mn vs conversion of VL for the 3-O/MTBD catalyzed ROP of VL. Co Figure 3.9. First order evolution of [VL] vs time for the 3-O/MTBD catalyzed ROP of VL. Conditions: VL (0.999 mmol, 1 equiv., 2M in C6D6), benzyl alcohol (2 mol%, 0.0199
mmol), MTBD (1.67 mol%, 0.0166 mmol) and 3-O (1.67 mol%, 0.0166 mmol). Figure 3.9. First order evolution of [VL] vs time for the 3-O/MTBD catalyzed ROP of VL. Conditions: VL (0.999 mmol, 1 equiv., 2M in C6D6), benzyl alcohol (2 mol%, 0.0199
mmol), MTBD (1.67 mol%, 0.0166 mmol) and 3-O (1.67 mol%, 0.0166 mmol). 100 Figure 3.10. Mn vs conversion for the 3-O/MTBD catalyzed ROP of CL. LIST OF REFERENCES Conditions: CL
(1.752 mmol, 1 equiv, 2M in C6D6), benzyl alcohol (2 mol%, 0.035 mmol), MTBD (1.67
mol%, 0.029 mmol) and 3-O (1.67 mol%, 0.029 mmol). (blue is Mn, red is Mw/Mn). Figure 3.10. Mn vs conversion for the 3-O/MTBD catalyzed ROP of CL. Conditions: CL
(1.752 mmol, 1 equiv, 2M in C6D6), benzyl alcohol (2 mol%, 0.035 mmol), MTBD (1.67
mol%, 0.029 mmol) and 3-O (1.67 mol%, 0.029 mmol). (blue is Mn, red is Mw/Mn). Figure 3.11. First order evolution of [CL] vs time for the 3-O/MTBD catalyzed ROP of
CL. Conditions: CL (1.752 mmol, 1 equiv., 2M in C6D6), benzyl alcohol (2 mol%, 0.035
mmol), MTBD (1.67 mol%, 0.029 mmol) and 3-O (1.67 mol%, 0.029 mmol). Figure 3.11. First order evolution of [CL] vs time for the 3-O/MTBD catalyzed ROP of
CL. Conditions: CL (1.752 mmol, 1 equiv., 2M in C6D6), benzyl alcohol (2 mol%, 0.035
mmol), MTBD (1.67 mol%, 0.029 mmol) and 3-O (1.67 mol%, 0.029 mmol). 101 Figure 3.12. First order evolution of [CL] and [VL] vs time for the 3-O/MTBD catalyzed
copolymerization of CL. Conditions: CL (1.752 mmol, 1 equiv., 2M in C6D6), benzyl
alcohol (2 mol%, 0.035 mmol), MTBD (1.67 mol%, 0.029 mmol) and 3-O (1.67 mol%,
0.029 mmol). Figure 3.12. First order evolution of [CL] and [VL] vs time for the 3-O/MTBD catalyzed
copolymerization of CL. Conditions: CL (1.752 mmol, 1 equiv., 2M in C6D6), benzyl
alcohol (2 mol%, 0.035 mmol), MTBD (1.67 mol%, 0.029 mmol) and 3-O (1.67 mol%,
0.029 mmol). Figure 3.13. GPC traces of the polymer resulting from the 3-O/MTBD (1.67 mol% each,
0.015 mmol) cocatalyzed ROP and subsequent chain extension of CL (0.876 mmol, then
1.1723 mmol more) from 1-pyrenebutanol (0.035 mmol) in C6D6 (219 μL). Figure 3.13. GPC traces of the polymer resulting from the 3-O/MTBD (1.67 mol% each,
0.015 mmol) cocatalyzed ROP and subsequent chain extension of CL (0.876 mmol, then
1.1723 mmol more) from 1-pyrenebutanol (0.035 mmol) in C6D6 (219 μL). 102 Figure 3.14. Observed rate constant (kobs, min-1) vs [3-O] in the 3-O/MTBD catalyzed ROP
of VL. Conditions: VL (0.999 mmol, 1 equiv., 0.5M in C6D6), benzyl alcohol (2 mol%,
0.0199 mmol), MTBD (1.67 mol%, 0.0166 mmol, 0.008 M). Figure 3.14. Observed rate constant (kobs, min-1) vs [3-O] in the 3-O/MTBD catalyzed ROP
of VL. Figure 3.20. 13C NMR (75 MHz, DMSO-d6) of 2-O. N
H
N
H
N
H
N
H
O
O
CF3
CF3
CF3
F3C Figure 3.22. 1H NMR (300 MHz, DMSO-d6) of 2-OS. Figure 3.23. 13C NMR (75 MHz, acetone-d6) of 2-OS. N
H
N
H
N
H
N
H
S
O
CF3
CF3
CF3
F3C LIST OF REFERENCES Conditions: VL (0.999 mmol, 1 equiv., 0.5M in C6D6), benzyl alcohol (2 mol%,
0.0199 mmol), MTBD (1.67 mol%, 0.0166 mmol, 0.008 M). 103 Figure 3.15. DFT B3LYP//6-31G** geometry optimized structures of 3-S. Figure 3.15. DFT B3LYP//6-31G** geometry optimized structures of 3-S. Figure 3.16. DFT B3LYP//6-31G** geometry optimized structures of 3-O. Figure 3.16. DFT B3LYP//6-31G** geometry optimized structures of 3-O. 104 Figure
3.17. MALDI-TOF
of
the
PLA
resulting
from
the
3-O/(tris[2-
(dimethylamino)ethyl]amine) catalyzed ROP of L-LA. Figure
3.17. MALDI-TOF
of
the
PLA
resulting
from
the
3-O/(tris[2-
(dimethylamino)ethyl]amine) catalyzed ROP of L-LA. 105 Figure 3.18. Downfield half of the 1H NMR spectra (acetone + trace benzene-d6 (lock),
400 MHz) of (upper) 1-O, (middle) 2-O, and (lower) 3-O. The progressive downfield shift
of the NH protons is indicative of increased (2-O versus 3-O) intramolecular H-bonding. Figure 3.18. Downfield half of the 1H NMR spectra (acetone + trace benzene-d6 (lock),
400 MHz) of (upper) 1-O, (middle) 2-O, and (lower) 3-O. The progressive downfield shift
of the NH protons is indicative of increased (2-O versus 3-O) intramolecular H-bonding. 106 gure 3.19. 1H NMR (300 MHz, DMSO-d6) of 2-O. N
H
N
H
N
H
N
H
O
O
CF3
CF3
CF3
F3C 107
Figure 3.19. 1H NMR (300 MHz, DMSO-d6) of 2-O. N
H
N
H
N
H
N
H
O
O
CF3
CF3
CF3
F3C Figure 3.19. 1H NMR (300 MHz, DMSO-d6) of 2-O. Figure 3.19. 1H NMR (300 MHz, DMSO-d6) of 2-O. 107 Figure 3.20. 13C NMR (75 MHz, DMSO-d6) of 2-O. N
H
N
H
N
H
N
H
O
O
CF3
CF3
CF3
F3C Figure 3.20. 13C NMR (75 MHz, DMSO-d6) of 2-O. 108 Figure 3.21. 1H NMR (300 MHz, DMSO-d6) of 1-[3,5-bis(trifluoromethyl)phenyl
thiourea]-3-aminopropane. N
H
N
H
NH2
S
CF3
F3C Figure 3.21. 1H NMR (300 MHz, DMSO-d6) of 1-[3,5-bis(trifluoromethyl)phenyl
thiourea]-3-aminopropane. Figure 3.21. 1H NMR (300 MHz, DMSO-d6) of 1-[3,5-bis(trifluoromethyl)phenyl
thiourea]-3-aminopropane. 109 igure 3.22. 1H NMR (300 MHz, DMSO-d6) of 2-OS. N
H
N
H
N
H
N
H
S
O
CF3
CF3
CF3
F3C Figure 3.22. 1H NMR (300 MHz, DMSO-d6) of 2-OS. 110 Figure 3.23. 13C NMR (75 MHz, acetone-d6) of 2-OS. N
H
N
H
N
H
N
H
S
O
CF3
CF3
CF3
F3C 111 4. 1H NMR (300 MHz, acetone-d6) of 3-O. N
N
H
N
H
CF3
F3C
O
N
H
N
H
CF3
CF3
O
NH
NH
F3C
CF3
O Figure 3.24. Figure 3.26. 1H NMR (300 MHz, acetone-d6) of 3-S. LIST OF REFERENCES 1H NMR (300 MHz, acetone-d6) of 3-O. N
N
H
N
H
CF3
F3C
O
N
H
N
H
CF3
CF3
O
NH
NH
F3C
CF3
O Figure 3.24. 1H NMR (300 MHz, acetone-d6) of 3-O. 112 Figure 3.25. 13C NMR (75 MHz, acetone-d6) of 3-O. N
N
H
N
H
CF3
F3C
O
N
H
N
H
CF3
CF3
O
NH
NH
F3C
CF3
O F3C Figure 3.25. 13C NMR (75 MHz, acetone-d6) of 3-O. 113 114
Figure 3.26. 1H NMR (300 MHz, acetone-d6) of 3-S. N
N
H
N
H
CF3
F3C
S
N
H
N
H
CF3
CF3
S
NH
NH
F3C
CF3
S F3C Figure 3.26. 1H NMR (300 MHz, acetone-d6) of 3-S. 114 114 N
N
H
N
H
CF3
F3C
S
N
H
N
H
CF3
CF3
S
NH
NH
F3C
CF3
S Figure 3.27. 13C NMR (75 MHz, acetone-d6) of 3-S. N
N
H
N
H
CF3
F3C
S
N
H
N
H
CF3
CF3
S
NH
NH
F3C
CF3
S Figure 3.27. 13C NMR (75 MHz, acetone-d6) of 3-S. Figure 3.27. 13C NMR (75 MHz, acetone-d6) of 3-S. 115 Job type: Single point. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 258
Number of basis functions: 818
Multiplicity: 1
Solvation: dichloromethane [SM8]
Free Energy of Solvation : -111.5381226 kJ/mol
SCF total energy: -3369.3171898 hartrees
SPARTAN '14 Properties Program: (Win/64b) Release 1.1.8
Use of molecular symmetry disabled
Cartesian Coordinates (Angstroms)
Atom X Y Z
--------- ------------- ------------- -------------
1 C C1 3.0236320 1.8782697 -1.5793812
2 S S1 2.4865855 3.2691914 -2.3431680
3 N N1 4.1615953 1.8195168 -0.8199347
4 H H4 4.3807088 0.9334757 -0.3754557
5 N N2 2.4147858 0.6395117 -1.6440053
6 H H3 2.8892309 -0.0770555 -1.1048418
7 C C2 1.1325107 0.2212543 -2.0380878
8 C C4 -1.4114202 -0.8709745 -2.5894579
9 C C3 0.9092347 -1.1643141 -1.9771559
10 C C6 0.0704432 1.0587976 -2.4057200
11 C C5 -1.1820850 0.5015117 -2.6687443
12 C C7 -0.3459752 -1.7004420 -2.2407846
13 H H6 1.7244618 -1.8277314 -1.7058464
14 H H7 0.2227144 2.1268062 -2.4722793 Job type: Single point. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 258
Number of basis functions: 818
Multiplicity: 1 Job type: Single point. Figure 3.27. 13C NMR (75 MHz, acetone-d6) of 3-S. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 258
Number of basis functions: 818
Multiplicity: 1
Solvation: dichloromethane [SM8]
Free Energy of Solvation : -77.8518861 kJ/mol
SCF total energy: -3369.3245007 hartrees
SPARTAN '14 Properties Program: (Win/64b) Release 1.1.8
Use of molecular symmetry disabled
Cartesian Coordinates (Angstroms)
Atom X Y Z
--------- ------------- ------------- -------------
1 C C1 0.6186602 3.4506147 -0.4942311
2 S S1 -0.1839783 4.1767400 0.8241190
3 N N1 1.9063132 3.7081440 -0.8145935
4 H H4 2.3364448 3.0985513 -1.5079477
5 N N2 0.0531547 2.5251892 -1.3346437
6 H H3 0.7188179 2.0849533 -1.9741357
7 C C2 -1.1547538 1.8052874 -1.2340656
8 C C4 -3.4580090 0.1851075 -1.1642309
9 C C3 -1.1316466 0.5028274 -1.7487208
10 C C6 -2.3542935 2.3143430 -0.7172609
11 C C5 -3.4821723 1.4924413 -0.6759791
12 C C7 -2.2707223 -0.2955969 -1.7112994
13 H H6 -0.2138590 0.1114105 -2.1743285
14 H H7 -2.4085778 3.3304717 -0.3544325
15 H H10 -4.3392201 -0.4410508 -1.1138825 Activated-TU plus VL in DCM
Job type: Single point. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 258
Number of basis functions: 818
Multiplicity: 1
Solvation: dichloromethane [SM8]
Free Energy of Solvation : -77.8518861 kJ/mol
SCF total energy: -3369.3245007 hartrees
SPARTAN '14 Properties Program: (Win/64b) Release 1.1.8
Use of molecular symmetry disabled
Cartesian Coordinates (Angstroms)
Atom X Y Z
--------- ------------- ------------- -------------
1 C C1 0.6186602 3.4506147 -0.4942311
2 S S1 -0.1839783 4.1767400 0.8241190
3 N N1 1.9063132 3.7081440 -0.8145935
4 H H4
2 3364448
3 0985513
1 5079477 Activated-TU plus VL in DCM
Job type: Single point. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 258
Number of basis functions: 818
Multiplicity: 1 Activated-TU plus VL in DCM Activated-TU plus VL in DCM Job type: Single point. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 258
Number of basis functions: 818
Multiplicity: 1 Job type: Single point. Figure 3.27. 13C NMR (75 MHz, acetone-d6) of 3-S. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 258
Number of basis functions: 818
Multiplicity: 1 Solvation: dichloromethane [SM8]
Free Energy of Solvation : -111.5381226 kJ/mol
SCF total energy: -3369.3171898 hartrees
SPARTAN '14 Properties Program: (Win/64b) Release 1.1.8
Use of molecular symmetry disabled
Cartesian Coordinates (Angstroms)
Atom X Y Z
--------- ------------- ------------- -------------
1 C C1 3.0236320 1.8782697 -1.5793812
2 S S1 2.4865855 3.2691914 -2.3431680
3 N N1 4.1615953 1.8195168 -0.8199347
4 H H4 4.3807088 0.9334757 -0.3754557
5 N N2 2.4147858 0.6395117 -1.6440053
6 H H3 2.8892309 -0.0770555 -1.1048418
7 C C2 1.1325107 0.2212543 -2.0380878
8 C C4 -1.4114202 -0.8709745 -2.5894579
9 C C3 0.9092347 -1.1643141 -1.9771559
10 C C6 0.0704432 1.0587976 -2.4057200
11 C C5 -1.1820850 0.5015117 -2.6687443
12 C C7 -0.3459752 -1.7004420 -2.2407846
13 H H6 1.7244618 -1.8277314 -1.7058464
14 H H7 0.2227144 2.1268062 -2.4722793 116 15 H H10 -2.3930742 -1.2817497 -2.7895526
16 C C10 4.9143846 2.9692703 -0.3332953
17 H H11 4.5344106 3.8436800 -0.8652759
18 H H14 5.9699149 2.8446241 -0.6074915
19 C C12 3.4027906 3.4954232 1.7271696
20 H H15 2.9363627 4.2861218 1.1280701
21 H H18 3.4772296 3.8782160 2.7517105
22 N N3 2.5369424 2.3192087 1.7215030
23 H H20 2.9203006 1.4691364 1.3284096
24 C C13 1.2067155 2.3544009 1.9901580
25 N N4 0.6109505 1.1232290 1.7699492
26 H H22 1.2548396 0.3613405 1.5797141
27 C C14 -0.7331750 0.7225280 1.7506543
28 C C15 -3.3546714 -0.3089651 1.5817556
29 C C16 -1.8288593 1.5927093 1.6175975
30 C C17 -0.9686276 -0.6575333 1.7958613
31 C C18 -2.2638136 -1.1643464 1.7001179
32 C C19 -3.1155194 1.0670046 1.5420799
33 H H21 -1.6699138 2.6600289 1.5790835
34 H H23 -0.1285243 -1.3372930 1.8897131
35 H H26 -4.3634555 -0.6988767 1.5185011
36 S S2 0.4404338 3.7350223 2.5568843
37 C C9 4.8032256 3.1640599 1.1907223
38 H H5 5.2007974 2.2820671 1.7151565
39 H H66 5.4672919 3.9953370 1.4584577
40 C C8 -2.3348816 1.4323499 -2.9566642
41 C C11 -0.5287562 -3.1927444 -2.1923754
42 C C20 -2.4486148 -2.6540574 1.7596442
43 C C21 -4.2949114 1.9896479 1.3633098
44 F F1 -1.5855148 -3.2933792 0.9172092
45 F F2 -3.6909519 -3.0390037 1.4192127
46 F F3 -2.1937480 -3.1488662 2.9941791
47 F F4 -5.2867990 1.6844871 2.2341956
48 F F5 -4.8239995 1.8788063 0.1239271
49 F F6 -3.9711423 3.2821442 1.5505404
50 F F7 -1.9478724 2.4963754 -3.6880106
51 F F8 -2.8730393 1.9085369 -1.8120448
52 F F9 -3.3238961 0.8070089 -3.6323087
53 F F10 -1.7988703 -3.5416596 -1.9232477
54 F F11 -0.1879272 -3.7820470 -3.3600940
55 F F12 0.2611471 -3.7628518 -1.2373203
56 O O1 3.4367224 -0.7462457 0.7948371
57 C C22 3.2789749 -1.9494030 0.9874045
58 O O2 2.0981603 -2.3565783 1.4442692
59 C C23 4.3678470 -2.9558988 0.6627870
60 H H1 5.3107962 -2.5327712 1.0237134
61 C C25 1.7615096 -3.7600728 1.7091266
62 H H2 1.8528809 -3.8888231 2.7924874
63 C C24 4.1149410 -4.3742363 1.1861986
64 C C26 2.6466391 -4.7344629 0.9547784
65 H H9 4.4431817 -2.9637701 -0.4338844
66 H H12 0.7120346 -3.8367938 1.4267382
67 H H16 4.7842542 -5.0791288 0.6833204
68 H H17 4.3433540 -4.4264428 2.2584168
69 H H19 2.4193356 -5.7464532 1.3082089
70 H H24 2.4038772 -4.7036553 -0.1143083 117 Activated-TU plus VL in DCM
Job type: Single point. Figure 3.27. 13C NMR (75 MHz, acetone-d6) of 3-S. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 258
Number of basis functions: 818
Multiplicity: 1 Solvation: dichloromethane [SM8]
Free Energy of Solvation : -77.8518861 kJ/mol
SCF total energy: -3369.3245007 hartrees
SPARTAN '14 Properties Program: (Win/64b) Release 1.1.8
Use of molecular symmetry disabled
Cartesian Coordinates (Angstroms)
Atom X Y Z
--------- ------------- ------------- -------------
1 C C1 0.6186602 3.4506147 -0.4942311
2 S S1 -0.1839783 4.1767400 0.8241190
3 N N1 1.9063132 3.7081440 -0.8145935
4 H H4 2.3364448 3.0985513 -1.5079477
5 N N2 0.0531547 2.5251892 -1.3346437
6 H H3 0.7188179 2.0849533 -1.9741357
7 C C2 -1.1547538 1.8052874 -1.2340656
8 C C4 -3.4580090 0.1851075 -1.1642309
9 C C3 -1.1316466 0.5028274 -1.7487208
10 C C6 -2.3542935 2.3143430 -0.7172609
11 C C5 -3.4821723 1.4924413 -0.6759791
12 C C7 -2.2707223 -0.2955969 -1.7112994
13 H H6 -0.2138590 0.1114105 -2.1743285
14 H H7 -2.4085778 3.3304717 -0.3544325
15 H H10 -4.3392201 -0.4410508 -1.1138825 Solvation: dichloromethane [SM8] 118 16 C C10 2.8027843 4.6914441 -0.2147555
17 H H11 2.2071707 5.3416025 0.4302030
18 H H14 3.1967392 5.3095899 -1.0312663
19 C C12 3.6869285 3.6006471 1.9812784
20 H H15 3.4926792 4.4774002 2.6093305
21 H H18 4.5555740 3.0769033 2.3864867
22 N N3 2.5249512 2.7335360 2.1290191
23 H H20 1.6271786 3.2234830 2.1204578
24 C C13 2.5094968 1.3974966 1.9057752
25 N N4 1.2256902 0.8893739 1.9753434
26 H H22 0.5039979 1.5998622 2.0720812
27 C C14 0.6984366 -0.4058478 1.8631176
28 C C15 -0.5781053 -2.9147839 1.6314277
29 C C16 1.4548726 -1.5782301 1.7537946
30 C C17 -0.7080836 -0.5063312 1.8791934
31 C C18 -1.3281747 -1.7434602 1.7746406
32 C C19 0.8068657 -2.8102748 1.6216030
33 H H21 2.5337814 -1.5241645 1.7735517
34 H H23 -1.3157391 0.3883894 1.9709278
35 H H26 -1.0674423 -3.8761542 1.5331906
36 S S2 3.9137885 0.5130018 1.5863986
37 C C9 3.9823780 4.0499365 0.5409167
38 H H5 4.3622406 3.1976526 -0.0342216
39 H H66 4.7977458 4.7836087 0.5904183
40 C C8 -4.7350832 2.0133800 -0.0202682
41 C C11 -2.1500066 -1.7036538 -2.2285185
42 C C20 -2.8297569 -1.8589628 1.8102446
43 C C21 1.6636565 -4.0277290 1.4065496
44 F F1 -3.4379221 -0.6675959 1.9789275
45 F F2 -3.2341444 -2.6701329 2.8116355
46 F F3 -3.3103570 -2.3975544 0.6612719
47 F F4 2.2021271 -4.0279014 0.1506788
48 F F5 0.9720086 -5.1765982 1.5310462
49 F F6 2.7028943 -4.0758489 2.2624221
50 F F7 -4.7381778 1.7499162 1.3069433
51 F F8 -5.8465881 1.4468122 -0.5385132
52 F F9 -4.8560965 3.3509353 -0.1561754
53 F F10 -3.3293734 -2.3455705 -2.2770265
54 F F11 -1.6167016 -1.7291299 -3.4757367
55 F F12 -1.3143128 -2.4466695 -1.4544742
56 C C27 3.2831624 -2.6893528 -2.7877261
57 C C26 4.2042838 -1.8989580 -1.8562757
58 C C23 1.8607816 -2.1796104 -2.6467576
59 H H1 1.4433504 -2.4372747 -1.6707839
60 O O3 1.7549042 -0.7255085 -2.7677807
61 C C24 4.1439872 -0.4106729 -2.2166165
62 H H2 4.5853662 0.2219220 -1.4415431
63 C C25 2.7476791 0.1196308 -2.4682591
64 O O4 2.4921707 1.3173809 -2.4670203
65 H H19 4.7032344 -0.2167170 -3.1438153
66 H H24 1.1890437 -2.5577159 -3.4195913
67 H H25 3.8858802 -2.0439632 -0.8171413
68 H H27 5.2374791 -2.2545185 -1.9257839
69 H H29 3.6188117 -2.5973989 -3.8292343
70 H H30 3.2857759 -3.7555044 -2.5347410 119 3-S vacuum 3-S vacuum
Job type: Single point Job type: Single point. Figure 3.27. 13C NMR (75 MHz, acetone-d6) of 3-S. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 328
Number of basis functions: 1062
Multiplicity: 1 SCF total energy: -4648.8994977 hartrees
Cartesian Coordinates (Angstroms)
Atom X Y Z
--------- ------------- ------------- -------------
1 C C2 2.7640909 1.5991396 -1.8183489
2 S S1 2.7485580 3.1262167 -1.0447103
3 N N1 3.9056042 0.9614619 -2.1515710
4 H H5 3.8171067 0.0156768 -2.5219318
5 N N2 1.6401143 0.8812915 -2.1324001
6 H H6 1.7976801 -0.1118807 -2.3241979
7 C C3 0.3013170 1.2854719 -2.3201684
8 C C4 -2.3985949 1.8898648 -2.8274305
9 C C5 -0.6568049 0.2633989 -2.3905650
10 C C6 -0.0979427 2.6145578 -2.5214042
11 C C7 -1.4411826 2.8999161 -2.7585829
12 C C8 -1.9912618 0.5700573 -2.6483517
13 H H7 -0.3550712 -0.7708386 -2.2578626
14 H H8 0.6245689 3.4167849 -2.4885809
15 H H10 -3.4400894 2.1260593 -3.0079652
16 C C10 5.2607492 1.4663694 -1.9949113 SCF total energy: -4648.8994977 hartrees 120 17 H H11 5.2004357 2.3893175 -1.4161725
18 H H14 5.6613762 1.7333310 -2.9831061
19 C C12 5.2614840 1.0846459 2.2224675
20 H H15 5.6552614 1.8030174 2.9553352
21 H H18 5.2238331 0.1128850 2.7169096
22 N N3 3.8972486 1.4512082 1.8763081
23 H H20 3.7898009 2.2354648 1.2335711
24 C C13 2.7688079 0.8382435 2.2910562
25 N N4 1.6323822 1.4610792 1.8454412
26 H H22 1.7761138 2.1258750 1.0805754
27 C C14 0.2952149 1.3955875 2.2898815
28 C C15 -2.4076716 1.4772893 3.0662460
29 C C16 -0.1001634 0.8644173 3.5247431
30 C C17 -0.6697046 1.9795466 1.4542447
31 C C18 -2.0048731 2.0203529 1.8476473
32 C C19 -1.4452920 0.9000425 3.8901120
33 H H21 0.6266397 0.4189908 4.1874706
34 H H23 -0.3707644 2.4090036 0.5031227
35 H H26 -3.4498786 1.4932500 3.3590253
36 S S2 2.7872540 -0.5873993 3.2373224
37 C C9 6.1953142 0.4363981 -1.3527427
38 H H66 6.1888855 -0.4701462 -1.9683179
39 C C11 -1.8674470 4.3253073 -3.0057754
40 C C20 -3.0179504 -0.5330077 -2.6738316
41 C C21 -3.0397027 2.5973303 0.9165316
42 C C22 -1.8526707 0.3468162 5.2322748
43 F F1 -3.5124705 1.6644908 0.0579004
44 F F2 -2.5334476 3.6035368 0.1693208
45 F F3 -4.1002269 3.0852263 1.5924522
46 F F4 -1.7965399 1.2987129 6.1932143
47 F F5 -1.0460150 -0.6600559 5.6273026
48 F F6 -3.1163949 -0.1241728 5.2138338
49 F F7 -3.0493461 4.5979143 -2.4148542
50 F F8 -2.0241180 4.5658245 -4.3285172
51 F F9 -0.9633317 5.2130042 -2.5444791
52 F F10 -4.0540158 -0.2298086 -3.4835079
53 F F11 -2.4869431 -1.6987577 -3.1065017
54 F F12 -3.5312931 -0.7659805 -1.4445504
55 H H2 7.2278878 0.8305944 -1.4034350
56 N N5 5.8050047 0.0710587 0.0077225
57 C C1 5.3031898 -2.3644845 -0.2073505
58 H H12 5.7187878 -3.3500893 0.0462233
59 N N6 3.9444816 -2.2719799 0.3039059
60 H H13 3.8481195 -2.1103761 1.3062523
61 C C23 2.8079859 -2.3397588 -0.4200681
62 N N7 1.6771503 -2.2902165 0.3516485
63 H H16 1.8200060 -1.9728928 1.3139804
64 C C24 0.3476586 -2.6736662 0.0707355
65 C C25 -2.3355466 -3.4584339 -0.2512243
66 C C26 -0.0128164 -3.5441791 -0.9645950
67 C C27 -0.6411242 -2.2147546 0.9557636
68 C C28 -1.9660771 -2.6107041 0.7933034
69 C C29 -1.3494205 -3.9144412 -1.1196988 121 70 H H17 0.7365180 -3.9304652 -1.6412965
71 H H19 -0.3679088 -1.5593844 1.7769814
72 H H24 -3.3673969 -3.7561716 -0.3826470
73 S S3 2.8039171 -2.4388198 -2.1286046
74 C C30 -3.0225496 -2.0715427 1.7241143
75 C C31 -1.6964523 -4.8350935 -2.2620423
76 F F13 -3.4712995 -0.8605647 1.3225534
77 F F14 -2.5472708 -1.9197359 2.9816806
78 F F15 -4.0938615 -2.8882522 1.7904528
79 F F16 -3.0010486 -5.1748762 -2.2628214
80 F F17 -0.9777024 -5.9799826 -2.2020364
81 F F18 -1.4211603 -4.2665814 -3.4560206
82 H H25 5.2463778 -2.3130804 -1.2958413
83 C C32 6.2160596 -1.2822943 0.3756853
84 H H9 7.2550846 -1.5046887 0.0680968
85 H H27 6.2005151 -1.3631277 1.4678909
86 C C33 6.1849094 1.0733869 1.0009875
87 H H1 6.1513581 2.0605765 0.5272716
88 H H33 7.2243617 0.9408821 1.3561298 122 3-O in vacuum
Job type: Single point. Figure 3.27. 13C NMR (75 MHz, acetone-d6) of 3-S. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 325
Number of basis functions: 1050
Multiplicity: 1
SCF total energy: -3680.0562311 hartrees
Cartesian Coordinates (Angstroms)
Atom X Y Z
--------- ------------- ------------- -------------
1 C C2 -2.8191769 -1.4459723 1.9139004
2 N N1 -3.6837952 -2.1887576 1.1546312
3 H H5 -3.3678728 -2.4709288 0.2289292
4 N N2 -1.4891232 -1.8088459 1.7201386
5 H H6 -1.3189721 -2.6347168 1.1595125
6 C C3 -0.3503171 -1.2225691 2.2807562
7 C C4 2.0493416 -0.0862620 3.2500984
8 C C5 0.8981553 -1.7653417 1.9324703
9 C C6 -0.3880865 -0.1375919 3.1660749
10 C C7 0.8077738 0.4196093 3.6248772
11 C C8 2.0751581 -1.2017548 2.4093743
12 H H7 0.9430649 -2.6421333 1.2986243
13 H H8 -1.3417631 0.2382549 3.5069152
14 H H10 2.9675834 0.3607257 3.6085817 3-O in vacuum
Job type: Single point 3-O in vacuum Job type: Single point. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 325
Number of basis functions: 1050
Multiplicity: 1
SCF total energy: -3680.0562311 hartrees
Cartesian Coordinates (Angstroms)
Atom X Y Z
--------- ------------- ------------- -------------
1 C C2 -2.8191769 -1.4459723 1.9139004
2 N N1 -3.6837952 -2.1887576 1.1546312
3 H H5 -3.3678728 -2.4709288 0.2289292
4 N N2 -1.4891232 -1.8088459 1.7201386
5 H H6 -1.3189721 -2.6347168 1.1595125
6 C C3 -0.3503171 -1.2225691 2.2807562
7 C C4 2.0493416 -0.0862620 3.2500984
8 C C5 0.8981553 -1.7653417 1.9324703
9 C C6 -0.3880865 -0.1375919 3.1660749
10 C C7 0.8077738 0.4196093 3.6248772
11 C C8 2.0751581 -1.2017548 2.4093743
12 H H7 0.9430649 -2.6421333 1.2986243
13 H H8 -1.3417631 0.2382549 3.5069152
14 H H10 2.9675834 0.3607257 3.6085817 Job type: Single point. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 325
Number of basis functions: 1050
Multiplicity: 1 Job type: Single point. Figure 3.27. 13C NMR (75 MHz, acetone-d6) of 3-S. Method: RB3LYP
Basis set: 6-31G**
Number of shells: 325
Number of basis functions: 1050
Multiplicity: 1
SCF total energy: -3680.0562311 hartrees
Cartesian Coordinates (Angstroms)
Atom X Y Z
--------- ------------- ------------- -------------
1 C C2 -2.8191769 -1.4459723 1.9139004
2 N N1 -3.6837952 -2.1887576 1.1546312
3 H H5 -3.3678728 -2.4709288 0.2289292
4 N N2 -1.4891232 -1.8088459 1.7201386
5 H H6 -1.3189721 -2.6347168 1.1595125
6 C C3 -0.3503171 -1.2225691 2.2807562
7 C C4 2.0493416 -0.0862620 3.2500984
8 C C5 0.8981553 -1.7653417 1.9324703
9 C C6 -0.3880865 -0.1375919 3.1660749
10 C C7 0.8077738 0.4196093 3.6248772
11 C C8 2.0751581 -1.2017548 2.4093743
12 H H7 0.9430649 -2.6421333 1.2986243
13 H H8 -1.3417631 0.2382549 3.5069152
14 H H10 2.9675834 0.3607257 3.6085817 SCF total energy: -3680.0562311 hartrees 123 16 H H11 -5.2929735 -1.5776720 2.2812241
17 H H14 -5.5727231 -3.0456003 1.3512156
18 C C12 -5.0034839 2.3026999 1.1529605
19 H H15 -5.4141876 2.8510338 2.0107121
20 H H18 -5.1638710 2.9229996 0.2706689
21 N N3 -3.5626078 2.1839246 1.3289192
22 H H20 -3.2552643 1.5176639 2.0341170
23 C C13 -2.7075480 2.4561068 0.2947921
24 N N4 -1.3695918 2.4426817 0.6796475
25 H H22 -1.1808298 2.3856234 1.6730415
26 C C14 -0.2468647 2.6493585 -0.1300865
27 C C15 2.1192833 2.9594669 -1.6481134
28 C C16 -0.3128602 2.8382121 -1.5177245
29 C C17 1.0130801 2.6622575 0.4901460
30 C C18 2.1732307 2.8145091 -0.2614320
31 C C19 0.8652741 2.9766362 -2.2530596
32 H H21 -1.2765799 2.9083830 -1.9996946
33 H H23 1.0841378 2.5679058 1.5672095
34 H H26 3.0246836 3.0602805 -2.2319525
35 C C9 -5.8077784 -1.2796189 0.1690927
36 H H66 -5.6264522 -1.8391170 -0.7522703
37 C C11 0.7017128 1.6374689 4.4992039
38 C C20 3.3929018 -1.7795935 1.9584829
39 C C21 3.4964690 2.7661755 0.4591288
40 C C22 0.7286742 3.0647507 -3.7472031
41 F F1 3.7883104 1.5106720 0.8698746
42 F F2 3.4783570 3.5405298 1.5685110
43 F F3 4.5149046 3.1852040 -0.3163414
44 F F4 -0.1933562 3.9728184 -4.1229471
45 F F5 0.3041618 1.8626279 -4.2545865
46 F F6 1.8827161 3.3625955 -4.3652558
47 F F7 1.8768286 2.0056603 5.0334528
48 F F8 -0.1816778 1.4698727 5.5017425
49 F F9 0.2438951 2.7088936 3.7708375
50 F F10 4.3632951 -1.5832125 2.8730045
51 F F11 3.3009087 -3.1113309 1.7348205
52 F F12 3.8139235 -1.2205603 0.8016466
53 H H2 -6.9020118 -1.3084428 0.3481495
54 N N5 -5.3242305 0.0878459 -0.0254913
55 C C1 -4.9805141 -0.0027500 -2.5265910
56 H H12 -5.3647749 0.4806546 -3.4344254
57 N N6 -3.5335039 0.1592466 -2.4979075
58 H H13 -3.2003848 1.0939897 -2.2725799
59 C C23 -2.7136441 -0.8963614 -2.2004932
60 N N7 -1.3641707 -0.5966324 -2.3694008
61 H H16 -1.1452379 0.2902806 -2.8060456
62 C C24 -0.2640861 -1.4257205 -2.1210107
63 C C25 2.0520690 -2.9541406 -1.5814598
64 C C26 -0.3764353 -2.7544235 -1.6878494
65 C C27 1.0182818 -0.8888841 -2.3224627
66 C C28 2.1546345 -1.6471006 -2.0585374
67 C C29 0.7775112 -3.4885720 -1.4103902 124 68 H H17 -1.3550647 -3.2014190 -1.5908365
69 H H19 1.1224511 0.1238865 -2.6959210
70 H H24 2.9366803 -3.5290567 -1.3426359
71 C C30 3.5015073 -1.0197297 -2.3155295
72 C C31 0.5869700 -4.8638394 -0.8351782
73 F F13 3.6211695 0.1677586 -1.6766378
74 F F14 3.6770187 -0.7671852 -3.6332394
75 F F15 4.5179740 -1.8043213 -1.9139979
76 F F16 1.7373992 -5.5432264 -0.7016732
77 F F17 -0.2571635 -5.6138996 -1.5707294
78 F F18 0.0265986 -4.7772247 0.4138683
79 H H25 -5.1789666 -1.0708885 -2.6262966
80 C C32 -5.7176408 0.6174481 -1.3316820
81 H H9 -6.8064816 0.5068331 -1.5117772
82 H H27 -5.5059394 1.6890298 -1.3407401
83 C C33 -5.7494111 0.9645796 1.0671436
84 H H1 -5.5772680 0.4377785 2.0084475
85 H H33 -6.8350147 1.1876081 1.0191279
86 O O1 -3.1162551 -2.0179532 -1.8707390
87 O O2 -3.1675940 -0.5810756 2.7256196
88 O O3 -3.0718983 2.7369773 -0.8530852 125 MANUSCRIPT – IV Published in ACS Macro Letters ABSTRACT A series of conformationally flexible bis(thio)urea H-bond donors plus base cocatalyst
were applied to the ring-opening polymerization of lactones. The rate of the ROP displays
a strong dependence upon the length and identity of the tether, where a circa five
methylene-unit long tether exhibits the fastest ROP. Any constriction to conformational
freedom is deleterious to catalysis. For valerolactone and caprolactone, the bisurea H-bond
donors are more effective, but for lactide the bisthioureas are the better catalysts. The ROP
reactions are rapid and controlled across a wide range of reaction conditions, including
solvent-free. The active mechanism is highly dependent upon the identity of the base
cocatalyst, and a mechanistic rationale for the observations is discussed. Implications for
the design of future generation catalysts are discussed. 127 INTRODUCTION H-bonding organocatalysts for ring-opening polymerization (ROP) are a facile means of
generating precisely tailored macromolecules.1–3 Among the larger class of H-bonding
organocatalysts, (thio)urea H-bond donors stand out for the remarkable level of control
they can rendered in polymer synthesis.4,5 The thiourea plus base mediated ROP of lactone
and carbonate monomers are thought to effect enchainment by H-bond activation of
monomer by thiourea and initiating/propagating chain end by base; these catalysts are most
active in non-polar solvent.5 The urea plus base class of H-bonding catalysts offer no
apology in terms of rate and are among the most active catalysts for the ROP of lactones.6–
8 Several mechanistic studies by our group and others have shown that (thio)urea/base
mediated ROP can proceed by one of two mechanisms: neutral H-bonding or (thio)imidate
mediated ROP (Scheme 4.1).7–10 Which mechanism is operative depends largely on
reaction conditions (high temperature,11 polar solvent,10,12,13 strong electron-withdrawing
groups on H-bond donor,10 early reaction time and strong bases favor imidate)7,8 though
generally ureas are more active than thioureas and imidate mediated ROP is far more active
than neutral H-bonding.3 Remarkably, these ‘hyperactive’ catalysts for ROP remain
controlled. INTRODUCTION The synthetic addition of one or more (thio)urea H-bond donating arms to the
parent (thio)urea has been shown to substantially increase the activity of (thio)urea H-bond
donors.6,14 Our group first disclosed bis- and tris-(thio)urea H-bond donors for ROP,6,14
and other intramolecular Lewis acid donors have been used.15 In general, the bis-
(thio)ureas (2-O and 2-S, Figure 4.1) are more active than mono-(thio)urea (1-O and 1-S),
and ureas are more active than thioureas for the bis-(thio)urea plus base mediated ROP of H-bonding organocatalysts for ring-opening polymerization (ROP) are a facile means of
generating precisely tailored macromolecules.1–3 Among the larger class of H-bonding
organocatalysts, (thio)urea H-bond donors stand out for the remarkable level of control
they can rendered in polymer synthesis.4,5 The thiourea plus base mediated ROP of lactone
and carbonate monomers are thought to effect enchainment by H-bond activation of
monomer by thiourea and initiating/propagating chain end by base; these catalysts are most
active in non-polar solvent.5 The urea plus base class of H-bonding catalysts offer no
apology in terms of rate and are among the most active catalysts for the ROP of lactones.6–
8 Several mechanistic studies by our group and others have shown that (thio)urea/base
mediated ROP can proceed by one of two mechanisms: neutral H-bonding or (thio)imidate
mediated ROP (Scheme 4.1).7–10 Which mechanism is operative depends largely on
reaction conditions (high temperature,11 polar solvent,10,12,13 strong electron-withdrawing
groups on H-bond donor,10 early reaction time and strong bases favor imidate)7,8 though
generally ureas are more active than thioureas and imidate mediated ROP is far more active
than neutral H-bonding.3 Remarkably, these ‘hyperactive’ catalysts for ROP remain
controlled. INTRODUCTION The synthetic addition of one or more (thio)urea H-bond donating arms to the
parent (thio)urea has been shown to substantially increase the activity of (thio)urea H-bond
donors.6,14 Our group first disclosed bis- and tris-(thio)urea H-bond donors for ROP,6,14
and other intramolecular Lewis acid donors have been used.15 In general, the bis-
(thio)ureas (2-O and 2-S, Figure 4.1) are more active than mono-(thio)urea (1-O and 1-S),
and ureas are more active than thioureas for the bis-(thio)urea plus base mediated ROP of 128 lactone and carbonate monomers.3,6,13 However, this rule of thumb does not apply for the
(thio)urea plus base mediated ROP of lactide (LA), where the higher rates are displayed by
(bis)-thioureas (versus (bis)-ureas) of like substitution.12 Again, the high rates exhibited
by 2-O and 2-S plus base for ROP occur without the reduction of reaction control. Pan et
al. synthesized bisurea H-bond donors featuring rigid linkers,16 which were less active for
ROP than the flexible 3-carbon tethered 2-O and 2-S.6,14 In the pantheon of
conformationally flexible linkers that can be envisaged, only one has been reported (n-
propyl).6 In light of the recent interest in these catalysts, we disclose here several bisurea
and bisthiourea H-bond donors for ROP with flexible linkers, most with higher activity and
control than the parent 2-X system. We extend previously proposed mechanisms to the
bis(thio)urea plus alkylamine base mediated ROP of LA to explain why thioureas have
been observed to be more effective (versus ureas). 129 EXPERIMENTAL SECTION General Considerations. All chemicals were purchased from Fisher Scientific and used as
received unless stated otherwise. Benzene-d6 and chloroform-d were purchased from
Cambridge Isotope Laboratories, distilled from calcium hydride and stored under N2. Acetone-d6 was purchased from Cambridge Isotope Laboratories, distilled from calcium
sulfate and stored under N2. δ-valerolactone (VL), ε-caprolactone (CL) and benzyl alcohol
were distilled under high vacuum from calcium hydride prior to use. Dry CH2Cl2 was
obtained from an Innovative Technology solvent purification system. All experiments
were conducted in a stainless-steel glovebox under N2 unless stated otherwise. NMR
experiments were performed on a Bruker Avance III 300 or 400 MHz spectrometer. Mass spectrometry experiments were performed using a Thermo Electron (San Jose, CA,
USA) LTQ Orbitrap XL mass spectrometer affixed with electrospray ionization (ESI)
interface in a positive ion mode. Collected mass spectra were averaged for at least 50
scans. Tune conditions for infusion experiments (10 µL/min flow, sample concentration 5
µg/mL in 50/50 v/v water/ methanol) were as follows: ion spray voltage, 5000 V; capillary
temperature, 275oC; sheath gas (N2, arbitrary units), 11; auxiliary gas (N2, arbitrary units),
2; capillary voltage, 21 V; and tube lens, 90 V; multipole 00 offset, -4.25 V; lens 0 voltage,
- 5.00; multipole 1 offset, - 8.50 V; Multipole RF Amplitude, 400 V; Ion trap’s AGC target
settings for Full MS was 3.0e4 and FT’s 2.0e5 (with 3 and 2 averaged microscans ,
respectively). Prior to analysis, the instrument was calibrated for positive ions using Pierce
LTQ ESI positive ion calibration solution (lot #PC197784). 130 Example ROP of VL in benzene-d6. To a 7 mL vial, 2-O5 (14.69 mg, 0.024 mmol), VL
(100.00 mg, 0.998 mmol) and benzene-d6 (250 µL) were added. The contents were stirred
until the solution became homogenous. To a second 7 ml vial, benzyl alcohol (2.16 mg,
0.019 mmol), MTBD (3.67 mg, 0.024 mmol) and benzene-d6 (250 µL) were added. The
contents in the second vial were transferred to the first vial via Pasteur pipette, and the
contents were agitated to mix. The reaction solution was then transferred to an NMR tube,
and the progress of the reaction monitored by 1H NMR. The reaction was quenched by the
addition of benzoic acid (3.00 mg, 0.024 mmol). Polymer isolated by precipitation with
hexanes, and the volatiles were removed under high vacuum before characterization via
GPC. Example solvent-free ROP of VL. Synthesis of 1,1'-(butane-1,4-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O4). Synthesis of 1,1'-(butane-1,4-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O4). Synthesis of 1,1'-(butane-1,4-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O4). A flame dried 25 ml Schlenk flask was charged with a stir bar, dichloromethane (25 mL),
3,5-bistrifluoromethylphenyl isocyanate (1 g, 3.91 mmol), and 1,4-diaminobutane (0.20
mL, 1.95 mmol) was added dropwise to the Schlenk flask. After stirring overnight, the
reaction mixture was filtered via suction filtration and rinsed with 3 portions of cold
CH2Cl2 to provide a pure white powder that was freed of volatiles under high vacuum. Yield: 70%. NMR spectra given below. HRMS: calc. (C22H19F12N4O2+H)+= 599.1238;
found m/z =599.1311. Synthesis of 1,1'-(pentane-1,5-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O5). A flame dried 25 ml Schlenk flask was charged with a stir bar, dichloromethane (25 mL),
3,5-bistrifluoromethylphenyl isocyanate (1 g, 3.91 mmol), and 1,5-diaminopentane (0.22
mL, 1.95 mmol) was added dropwise to the Schlenk flask. After stirring overnight, the
reaction mixture was filtered via suction filtration and rinsed with 3 portions of cold
CH2Cl2 to provide a pure white powder that was freed of volatiles under high vacuum. EXPERIMENTAL SECTION A 1.5 mL vial was charged with 2-O5 (12.23 mg, 0.019
mmol), benzyl alcohol (2.15 mg, 0.019 mmol), VL (200.00 mg, 1.99 mmol), magnetic stir
bar and stirred until homogeneous. A second vial was charged with MTBD (3.05 mg, 0.019
mmol) and VL (200 mg, 1.99 mmol) and agitated to mix. The contents of the second vial
were transferred to the first vial using a Pasteur pipette, and the solution was stirred. Reaction progress was monitored by taking aliquots of the reaction mixture – either ~1.5
µL solution or a small amount of solid extracted via spatula – at different time intervals
and quenched in a solution of benzoic acid in chloroform-d. Conversion was determined
via 1H NMR. The polymer samples in the aliquots were isolated by precipitating with
hexanes, and the volatiles were removed under high vacuum before characterization via
GPC. 131 A flame dried 25 ml Schlenk flask was charged with a stir bar, dichloromethane (25 mL),
3,5-bistrifluoromethylphenyl isocyanate (1 g, 3.91 mmol), and ethylenediamine (0.13 mL,
1.95 mmol) was added dropwise to the Schlenk flask. After stirring overnight, the reaction
mixture was filtered via suction filtration and rinsed with 3 portions of cold CH2Cl2 to
provide a pure white powder that was freed of volatiles under high vacuum. Yield: 65%. NMR spectra given below. HRMS: calc. (C20H15F12N4O2+H)+= 571.0998; found m/z =
571.0998. Synthesis of 1,1'-(pentane-1,5-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O5). Synthesis of 1,1'-(pentane-1,5-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O5). 132 Yield: 74%. NMR spectra given below. HRMS: calc. (C23H21F12N4O2+H)+= 613.1467;
found m/z = 613.1467. Synthesis of 1,1'-(hexane-1,6-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O6). A flame dried 25 ml Schlenk flask was charged with a stir bar, dichloromethane (25 mL),
3,5-bistrifluoromethylphenyl isocyanate (1 g, 3.91 mmol), and hexamethylenediamine
(0.25 mL, 1.95 mmol) was added dropwise to the Schlenk flask. After stirring overnight,
the reaction mixture was filtered via suction filtration and rinsed with 3 portions of cold
CH2Cl2 to provide a pure white powder that was freed of volatiles under high vacuum. Yield: 80%. NMR spectra given below. HRMS: calc. (C24H23F12N4O2+H)+= 627.1624;
found m/z = 627.1624. A flame dried 100 ml Schlenk flask was charged with a stir bar, dichloromethane (20 mL),
3,5-bistrifluoromethylphenyl isocyanate (0.63 g, 2.5 mmol), and 1,12-diaminododecane
(0.25 g, 1.25 mmol) was added dropwise to the Schlenk flask. After stirring overnight, the
reaction mixture was filtered via suction filtration and rinsed with 3 portions of cold
CH2Cl2 to provide a pure white powder that was freed of volatiles under high vacuum. Yield: 92%. NMR spectra given below. HRMS: calc. (C30H34F12N4O2+H)+= 711.2382;
found m/z = 711.2563. 133 Synthesis of 1,1'-((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5- bis(trifluoromethyl)phenyl)urea) (2-O5-N). A flame dried 50 ml Schlenk flask was charged with a stir bar, dichloromethane (20 mL),
3,5-bistrifluoromethylphenyl isocyanate (1.08 g, 4.26 mmol), and N1-(2-aminoethyl)-N1-
methylethane-1,2-diamine (0.27 mL, 2.13 mmol) was added dropwise to the Schlenk flask. After stirring overnight, the reaction mixture was filtered and rinsed with 3 portions of cold
CH2Cl2 to provide a pure white powder that was freed of volatiles under high vacuum. Yield: 47%. NMR spectra given below. HRMS: calc. (C23H21F12N5O2+H)+= 628.1564;
found m/z = 628.1594. Synthesis of 1,1'-(oxybis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-
O5-O). A flame dried 50 ml Schlenk flask was charged with a stir bar, dichloromethane (20 mL),
3,5-bistrifluoromethylphenyl isocyanate (2.2 g, 8.14 mmol), and 2,2'-oxybis(ethan-1-
amine) (0.44mL, 4.07 mmol) was added dropwise to the Schlenk flask. After stirring
overnight, the reaction mixture was filtered and rinsed with 3 portions of cold CH2Cl2 to
provide a pure white powder that was freed of volatiles under high vacuum. Yield: 90%. NMR spectra given below. HRMS: calc. (C22H19F12N4O3+H)+= 615.1260; found m/z =
615.1260. 134 Synthesis of 1,1'-(2,2-dimethylpropane-1,3-diyl)bis(3-(3,5- bis(trifluoromethyl)phenyl)urea) (2-O3-diMe). A flame dried 50 ml Schlenk flask was charged with a stir bar, dichloromethane (20 mL),
3,5-bistrifluoromethylphenyl isocyanate (0.63 g, 2.5 mmol) 2,2-Dimethyl-1,3-
propanediamine and (0.15 mL, 1.25 mmol). Synthesis of 1,1'-(pentane-1,5-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O5). After stirring overnight, the reaction mixture
was filtered and rinsed with 3 portions of cold CH2Cl2 to provide a pure white powder that
was freed of volatiles under high vacuum. Yield: 47%. NMR spectra given below. HRMS
:calc. (C23H21F12N4O2)+ = 613.1467 found m/z =613.1467. Synthesis of 1,1’-(butane-1,4-diyl)bis(trifluoromethyl)phenyl)thiourea) (2-S4). Synthesis of 1,1’-(butane-1,4-diyl)bis(trifluoromethyl)phenyl)thiourea) (2-S4). A flame dried 50 ml Schlenk flask was charged with a stir bar, dichloromethane (20 mL),
3,5-bis(trifluoromethyl)phenyl isothiocyanate (1.49 g, 5.5 mmol), and 1,4-diaminobutane
(0.27 mL, 2.7 mmol) was added dropwise to the Schlenk flask. After stirring overnight,
the reaction mixture was filtered via suction filtration and rinsed with 3 portions of cold
CH2Cl2 to provide a pure white powder that was freed of volatiles under high vacuum. Yield: 35%. NMR spectra given below. HRMS: calc. (C22H19F12N4S2+H)+= 631.0845;
found m/z =631.0825. 135 Synthesis of 1,1'-(pentane-1,5-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S5). A flame dried 50 ml Schlenk flask was charged with a stir bar, dichloromethane (20 mL),
3,5-bis(trifluoromethyl)phenyl isothiocyanate (1.49 g, 5.5 mmol), and 1,5-diaminopentane
(0.32 mL, 2.7 mmol) was added dropwise to the Schlenk flask. After stirring overnight,
the reaction mixture was filtered via suction filtration and rinsed with 3 portions of cold
CH2Cl2 to provide a pure white powder that was freed of volatiles under high vacuum. Yield: 57%. NMR spectra given below. HRMS: calc. (C23H21F12N4S2+H)+= 645.1011;
found m/z = 645.1016. Synthesis of 1,1'-(hexane-1,6-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S6). A flame dried 50 ml Schlenk flask was charged with a stir bar, dichloromethane (20 mL),
3,5-bis(trifluoromethyl)phenyl
isothiocyanate
(1.87
g,
6.88
mmol),
and
hexamethylenediamine (0.44 mL, 3.44 mmol) was added dropwise to the Schlenk flask. After stirring overnight, the reaction mixture was filtered via suction filtration and rinsed
with 3 portions of cold CH2Cl2 to provide a pure white powder that was freed of volatiles
under high vacuum. Yield: 76%. NMR spectra given below. HRMS: calc. (C24H23F12N4S2+H)+= 659.1167; found m/z =659.1148. Synthesis of 1,1'-(dodecane-1,12-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-
S12). A flame dried 50 ml Schlenk flask was charged with a stir bar, dichloromethane (20 mL),
3,5-bis(trifluoromethyl)phenyl isothiocyanate (0.68 g, 2.52 mmol), and 1,12-
diaminododecane (0.25 g, 1.25 mmol) was added dropwise to the Schlenk flask. After
stirring overnight, the reaction mixture was filtered via suction filtration and rinsed with 3 136 portions of cold CH2Cl2 to provide a pure white powder that was freed of volatiles under
high vacuum. Yield: 91%. NMR spectra given below. HRMS: calc. (C30H35F12N4S2+H)+=
743.2033; found m/z = 743.2086. Synthesis of 1,1'-((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea) (2-S5-N). Synthesis of 1,1'-((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea) (2-S5-N). A flame dried 50 ml Schlenk flask was charged with a stir bar, dichloromethane (20 mL),
3,5-bistrifluoromethylphenyl isothiocyanate (1.48 g, 4.26 mmol), and N1-(2-aminoethyl)-
N1-methylethane-1,2-diamine (0.27 mL, 2.13 mmol). Synthesis of 1,1’-(butane-1,4-diyl)bis(trifluoromethyl)phenyl)thiourea) (2-S4). After stirring overnight, the
reaction mixture was filtered via suction filtration and rinsed with 3 portions of cold
CH2Cl2 to provide a pure white powder that was freed of volatiles under high vacuum. Yield: 67%. NMR spectra given below. HRMS: calc. (C23H21F12N5S2+H)+= 660.1120;
found m/z = 660.1120. Synthesis of 1,1'-(oxybis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea)
(2-S5-O). A flame dried 50 ml Schlenk flask was charged with a stir bar, dichloromethane (25 mL),
3,5-bistrifluoromethylphenyl isothiocyanate (2.21 g, 8.14 mmol), and 2,2'-oxybis(ethan-1-
amine) (0.44 mL, 4.07 mmol). After stirring overnight, the reaction mixture was filtered
via suction filtration and rinsed with 3 portions of cold CH2Cl2 to provide a pure white
powder that was freed of volatiles under high vacuum. Yield: 86%. NMR spectra given
below. HRMS: calc. (C22H19F12N4OS2+H)+= 647.0803; found m/z = 647.0803. 137 RESULTS AND DISCUSSION In the bis(thio)urea plus MTBD cocatalyzed (0.024 mmol) ROP of VL (1.0 mmol,
2 M) from benzyl alcohol (0.02 mmol) in C6D6, the bis(thio)ureas featuring a 5-carbon
(methylene) tether were most active. Using established procedures,6 electron deficient
bis(thio)ureas were synthesized featuring linear aliphatic tethers ranging from two to
twelve methylene units, bisthioureas (2-Sn) and bisureas (2-On) in Figure 4.1 (n = 2, 3, 4,
5, 6, 12), see Supplemental Information, SI. The 2-O2 H-bond donor was insoluble in
solvents relevant for ROP. Especially versus the rigid (thio)urea tethers,16 our results here
suggest that the most effective catalysis arises when the (thio)urea moieties are allowed to
interact with one another, lending credence to the originally proposed mechanism whereby
bis(thio)urea moieties bring about ROP through an activated-(thio)urea mechanism
characterized by one (thio)urea stabilizing through internal H-bond activation the
(thio)urea which activates the lactone for enchainment, Figure 4.1.6,14 We propose that the
increased efficacy of 2-S5 and 2-O5 plus MTBD (versus other linker lengths) arises from
the stability of the pseudo-7-membered cycle formed by intramolecular H-bonding – the
(thio)urea moiety being largely rigid. The enhanced rates displayed by 2-O5 and 2-S5 are enhanced by a factor of two versus
their respective ‘parent’ 2-X3 H-bond donor, and this enhanced rate does not result in
increased Mw/Mn. The ROP are living in behavior, both 2-S5 and 2-O5 plus MTBD
produce linear evolution of Mn versus conversion (Figure 4.2) and Mn that is predictable
by [M]o/[I]o Table 4.1. In C6D6 (and other non-polar solvents), a H-bond mediated 138 mechanism of enchainment has been proposed;3,6,9 urea plus base mediated ROP have been
shown to display faster rates than the analogous thiourea.6,9 Bisurea catalysts plus MTBD remain highly active for the ROP of VL in polar solvent and
solvent-free conditions. In polar solvent (including solvent-free), the imidate mechanism
of enchainment has been shown to be favored.7,10,13 This mechanism is characterized by
proton transfer from urea to MTBD, forming a highly active urea anion (imidate).9 In the
bisurea system, we propose that the incipient anion is stabilized via intramolecular
hydrogen bonding by the ‘extra’ urea moiety; hence, an activated-(thio)urea anion
mechanism analogous to the neutral activated (thio)urea H-bonding mechanism can be
envisaged, Figure 4.3.14 This mechanism is corroborated by the observation that the five-
methylene tether in the 2-O5/MTBD cocatalyzed ROP of VL produces the most active
ROP, just as in the H-bonded system. RESULTS AND DISCUSSION Reproducing an established experiment,13 when 2-
O5 is treated with 1 equivalent of MTBD in acetone-d6, an upfield chemical shift is
observed, consistent with anion formation and an imidate mechanism (Figure 4.4). The
individual urea moieties are indistinguishable, which suggests that the anion/neutral urea
exchange is rapid on the NMR timescale (400 MHz). Treatment with an additional
equivalent of MTBD (0.096 M MTBD, 0.048 M 2-O5) does not further shift the bisurea
resonances, which suggest that bisimidate is not formed and corroborates previous
observations of bis-(thio)ureas operating as a single H-bond donating species.6 Further,
the rate of the 2-O5/MTBD (0.048 M 2-O5; 0.096 M MTBD) cocatalyzed ROP of VL
under the respective conditions are identical (Figure 4.5), suggesting that the ideal
stoichiometry for bisurea/base mediated ROP in an imidate mechanism is 1:1. Similar Bisurea catalysts plus MTBD remain highly active for the ROP of VL in polar solvent and
solvent-free conditions. In polar solvent (including solvent-free), the imidate mechanism
of enchainment has been shown to be favored.7,10,13 This mechanism is characterized by
proton transfer from urea to MTBD, forming a highly active urea anion (imidate).9 In the
bisurea system, we propose that the incipient anion is stabilized via intramolecular
hydrogen bonding by the ‘extra’ urea moiety; hence, an activated-(thio)urea anion
mechanism analogous to the neutral activated (thio)urea H-bonding mechanism can be
envisaged, Figure 4.3.14 This mechanism is corroborated by the observation that the five-
methylene tether in the 2-O5/MTBD cocatalyzed ROP of VL produces the most active
ROP, just as in the H-bonded system. Reproducing an established experiment,13 when 2-
O5 is treated with 1 equivalent of MTBD in acetone-d6, an upfield chemical shift is
observed, consistent with anion formation and an imidate mechanism (Figure 4.4). The
individual urea moieties are indistinguishable, which suggests that the anion/neutral urea
exchange is rapid on the NMR timescale (400 MHz). Treatment with an additional
equivalent of MTBD (0.096 M MTBD, 0.048 M 2-O5) does not further shift the bisurea
resonances, which suggest that bisimidate is not formed and corroborates previous
observations of bis-(thio)ureas operating as a single H-bond donating species.6 Further,
the rate of the 2-O5/MTBD (0.048 M 2-O5; 0.096 M MTBD) cocatalyzed ROP of VL
under the respective conditions are identical (Figure 4.5), suggesting that the ideal
stoichiometry for bisurea/base mediated ROP in an imidate mechanism is 1:1. RESULTS AND DISCUSSION Similar 139 relative rates (for the bisureas) are observed under solvent free conditions (Table 4.3) as in
acetone-d6. Two bisurea H-bond donors featuring heteroatom-containing tethers were synthesized and
indicate a sensitive relationship between cocatalyst geometry and reaction rate. Both of
the 2-O5-N or 2-O5-O (Figure 4.1) plus MTBD cocatalyzed ROP of VL showed slightly
reduced reaction times versus the ‘parent’ 2-O5 under all conditions: benzene-d6, acetone-
d6 and solvent-free (Table 4.4). The reactions remained well-controlled, especially
solvent-free where Mw/Mn < 1.03. The relative reaction times in each of C6D6, acetone-d6
and solvent-free fall in the order 2-O5-O (fastest) < 2-O5-N < 2-O5 (slowest). We attribute
the subtle changes in reaction time to minute changes in the tether length, where the normal
bond lengths are C-O < C-N < C-C. This suggests that the most active bis-(thio)urea tether
length is somewhere between four and five methylene units long, which is a parameter that
our group has found useful in our ongoing development of advanced H-bond donating
catalyst systems. However, these relative rates may be coincidence and could be easily
attributed to increased conformational flexibility due to the heteroatom, but these results
suggest that there is no stark change in mechanism due to the presence of the heteroatom. As opposed to ROP in solution, bisurea plus MTBD cocatalyzed ROP under solvent-free
conditions provide the best weight control (by [M]o/[I]o ≤ 500), narrowest distributions
(Mw/Mn ≤ 1.05) and access to the highest molecular weights (Table 4.1), consistent with
previous observations;12 the 2-O5-O H-bond donor is especially active and well controlled. The ROP of CL with these cocatalysts (plus MTBD) exhibit the same relative reaction
times and display good control, Table 4.4. Additionally, we synthesized a symmetric
analogue of bisurea 2-O3 featuring a 3,3-dimethyl substitution, 2-O3-diMe (see SI), which Two bisurea H-bond donors featuring heteroatom-containing tethers were synthesized and
indicate a sensitive relationship between cocatalyst geometry and reaction rate. Both of
the 2-O5-N or 2-O5-O (Figure 4.1) plus MTBD cocatalyzed ROP of VL showed slightly
reduced reaction times versus the ‘parent’ 2-O5 under all conditions: benzene-d6, acetone-
d6 and solvent-free (Table 4.4). The reactions remained well-controlled, especially
solvent-free where Mw/Mn < 1.03. The relative reaction times in each of C6D6, acetone-d6
and solvent-free fall in the order 2-O5-O (fastest) < 2-O5-N < 2-O5 (slowest). RESULTS AND DISCUSSION We attribute
the subtle changes in reaction time to minute changes in the tether length, where the normal
bond lengths are C-O < C-N < C-C. This suggests that the most active bis-(thio)urea tether
length is somewhere between four and five methylene units long, which is a parameter that
our group has found useful in our ongoing development of advanced H-bond donating
catalyst systems. However, these relative rates may be coincidence and could be easily
attributed to increased conformational flexibility due to the heteroatom, but these results
suggest that there is no stark change in mechanism due to the presence of the heteroatom. As opposed to ROP in solution, bisurea plus MTBD cocatalyzed ROP under solvent-free
conditions provide the best weight control (by [M]o/[I]o ≤ 500), narrowest distributions
(Mw/Mn ≤ 1.05) and access to the highest molecular weights (Table 4.1), consistent with
previous observations;12 the 2-O5-O H-bond donor is especially active and well controlled. The ROP of CL with these cocatalysts (plus MTBD) exhibit the same relative reaction
times and display good control, Table 4.4. Additionally, we synthesized a symmetric
analogue of bisurea 2-O3 featuring a 3,3-dimethyl substitution, 2-O3-diMe (see SI), which 140 is less active as a cocatalyst (with MTBD) for the ROP of VL (C6D6, 90 % conv in 1 hour). This suggests that any steric compression or hindered bond rotation arising from the
geminal dimethyl substitution (i.e. Thorpe-Ingold effect)17 is deleterious to ROP. The
bisthiourea analogues of these bisurea H-bond donors were also synthesized, but they
displayed reduced rates and control versus the bisureas, as expected (see Table 4.5). These
modified bis(thio)urea H-bond donors emphasize the sensitive interplay of catalyst
structure towards ROP activity. is less active as a cocatalyst (with MTBD) for the ROP of VL (C6D6, 90 % conv in 1 hour). This suggests that any steric compression or hindered bond rotation arising from the
geminal dimethyl substitution (i.e. Thorpe-Ingold effect)17 is deleterious to ROP. The
bisthiourea analogues of these bisurea H-bond donors were also synthesized, but they
displayed reduced rates and control versus the bisureas, as expected (see Table 4.5). These
modified bis(thio)urea H-bond donors emphasize the sensitive interplay of catalyst
structure towards ROP activity. RESULTS AND DISCUSSION 141 ROP of Lactide The most active bis(thio)urea H-bond donors from the VL studies were applied for
the ROP of lactide in CH2Cl2 and solvent-free with Me6TREN cocatalyst.18 Low solubility
of bisureas under reaction conditions limited some direct comparisons, but this and
previous studies12 show that the bisthioureas are more effective than the corresponding
bisureas for the ROP of LA (Table 4.6). In the case of lactide, weak alkylamine base
cocatalysts are used because stronger imine bases (e.g. MTBD) will polymerize lactide in
the absence of H-bond donor in a less-controlled ROP.5,18,19 We speculated that the
increased rate observed for bisthiourea (versus bisurea) plus Me6TREN mediated ROP of
lactide was due to a change in mechanism between the two species. Indeed, the 1H NMR
of 2-S5-O (acetone-d6) shows an upfield shift for the aromatic resonances in 2-S5-O in the
presence (versus absence) of Me6TREN, suggesting the formation of an imidate species,
whereas the chemical shifts for 2-O5-O with and without Me6TREN are negligibly
different, suggesting H-bonding (see Figure 4.9). The same experiment when conducted
with 1-S or TCC shows downfield chemical shifts consistent with H-bonding.20 Similar to
the acetone-d6 experiment, the relative reaction times for the ROP results in solvent-free
conditions (Table 4.6) suggest that the 2-S5-O plus Me6TREN mediated ROP of lactide
proceeds via an imidate mechanism while 2-O5-O is an H-bond mediated enchainment. For identically substituted ureas and thioureas in the ROP of LA, the thiourea is the more
active catalyst, and this is attributed to the pKa of the H-bond donor. The difference in mechanism for the two H-bond donating catalysts presumably
arises because any thiourea will be more acidic than its identically substituted (e.g. 3,5-
bistrifluoromethyl phenyl) urea.21,22 When a pair of mono-H-bond donors (urea or 142 thiourea) of the same pKa are used as cocatalysts with Me6TREN for the ROP of lactide,
the urea is the more active catalyst, Table 4.7. Having identical pKa, such a pair of urea
and thiourea will effect enchainment by the same mechanism, and hence, the more polar
urea (or imidate) is the more active H-bond donor. When a highly acidic H-bond donor is
employed (Table 4.7, last entry), the incipient (thio)imidate displays reduced activity
arising from its low basicity, as previously observed.10,21 These observations are seemingly
contrary to the (thio)urea plus strong base mediated ROP of other lactones (e.g. RESULTS AND DISCUSSION valerolactone or caprolactone).7,9,11,21 However, in this latter scenario, the stronger base
cocatalyst (versus Me6TREN) can deprotonate either the urea or thiourea.13 In that event,
the urea (or resulting imidate) will be more active than the thiourea (or thioimidate).7 thiourea) of the same pKa are used as cocatalysts with Me6TREN for the ROP of lactide,
the urea is the more active catalyst, Table 4.7. Having identical pKa, such a pair of urea
and thiourea will effect enchainment by the same mechanism, and hence, the more polar
urea (or imidate) is the more active H-bond donor. When a highly acidic H-bond donor is
employed (Table 4.7, last entry), the incipient (thio)imidate displays reduced activity
arising from its low basicity, as previously observed.10,21 These observations are seemingly
contrary to the (thio)urea plus strong base mediated ROP of other lactones (e.g. valerolactone or caprolactone).7,9,11,21 However, in this latter scenario, the stronger base
cocatalyst (versus Me6TREN) can deprotonate either the urea or thiourea.13 In that event,
the urea (or resulting imidate) will be more active than the thiourea (or thioimidate).7 143 CONCLUSION A series of conformationally flexible bis(thio)urea H-bond donors were applied
with the appropriate base cocatalysts for the ROP of lactones. Conformational flexibility
is essential for catalyst activity, and the (thio)urea moieties separated by circa five
methylene units displays the most rapid ROP. Synthetic polymer chemists should hew
towards 2-S5-O for the ROP of lactide; it is readily soluble, easily accessible and is among
the most active organocatalysts for the synthesis of polylactide. That bisthioureas (versus
bisureas) are more active for the ROP of LA is contrary to what is observed for VL and
CL, and the higher activity of the thioureas is rendered by the alkylamine cocatalyst, which
is unable to deprotonate the (bis)urea catalyst and enter the highly active imidate mediated
ROP. For VL and CL, the bisurea 2-O5-O plus MTBD cocatalyst system is the most active
bis(thio)urea examined, and the reaction is well controlled, especially under the easily-
employable solvent-free conditions. We trust that the results of this study will be
informative for the synthesis of advanced H-bond donating catalysts for ROP, and such
work is ongoing in our lab. 144 (6)
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1727. 148 Entry
Solvent
[M]o/[I]o
Mna (g/mol)
Mw/Mna
2-O5
1
benzene
50
9500
1.05
2
100
19600
1.05
3
200
30900
1.07
4
acetone
50
9100
1.05
5
100
12000
1.05
6
200
16900
1.15
7
solvent-freeb
50
10500
1.10
8
100
21500
1.07
9
200
42300
1.03
10
500
96200
1.16
2-O5-O
11
benzene
50
8000
1.06
12
100
20000
1.07
13
200
38700
1.10
14
acetone
50
7700
1.10
15
100
19700
1.04
16
200
35700
1.03
17
solvent-freeb
50
10500
1.10
18
100
23600
1.10
19
200
43500
1.02
20
500
110500
1.03 Entry
Solvent
[M]o/[I]o
Mna (g/mol)
Mw/Mna Table 4.1. Bis(thio)urea plus MTBD cocatalyzed ROP of VL. Reaction conditions: VL
(1.0 mmol, 1 equiv, 2 M), cocatalyst (0.024 mmol each) (a) Mn and Mw/Mn were determined
by GPC (CH2Cl2) versus polystyrene standards. (b) Reaction conditions: VL (3.99 mmol)
cocatalyst (0.019 mmol each). 149 Table 4.2. Bis(thio)urea and MTBD cocatalyzed ROP of VL. 1 (1), 19–22. Reaction conditio
VL (1.0 mmol, 1 equiv, 2 M), benzyl alcohol (0.019 mmol), bis(thio)urea/MT
H-bond donor
(2-S/On)
time (min) conv.a (%)
Mnb
(g/mol)
Mw/Mnb
2-S2
92
88
8 300
1.06
2-S3
80
89
9 000
1.06
2-S4
53
90
8 200
1.06
2-S5
50
91
9 500
1.05
2-S6
69
89
9 200
1.04
2-S12
250
87
8 200
1.04
2-O3
20
89
8 900
1.07
2-O4
20
92
9 600
1.06
2-O5
12
89
9 500
1.05
2-O6
15
90
9 900
1.06
2-O12
35
90
9 900
1.07 H-bond donor
(2-S/On)
time (min) conv.a (%)
Mnb
(g/mol)
Mw/Mnb
2-S2
92
88
8 300
1.06
2-S3
80
89
9 000
1.06
2-S4
53
90
8 200
1.06
2-S5
50
91
9 500
1.05
2-S6
69
89
9 200
1.04
2-S12
250
87
8 200
1.04
2-O3
20
89
8 900
1.07
2-O4
20
92
9 600
1.06
2-O5
12
89
9 500
1.05
2-O6
15
90
9 900
1.06
2-O12
35
90
9 900
1.07 H-bond donor
(2-S/On)
time (min) conv.a (%)
Mnb
(g/mol)
Mw/Mnb
2-S2
92
88
8 300
1.06
2-S3
80
89
9 000
1.06
2-S4
53
90
8 200
1.06
2-S5
50
91
9 500
1.05
2-S6
69
89
9 200
1.04
2-S12
250
87
8 200
1.04
2-O3
20
89
8 900
1.07
2-O4
20
92
9 600
1.06
2-O5
12
89
9 500
1.05
2-O6
15
90
9 900
1.06
2-O12
35
90
9 900
1.07 Table 4.2. Bis(thio)urea and MTBD cocatalyzed ROP of VL. Reaction conditions:
VL (1.0 mmol, 1 equiv, 2 M), benzyl alcohol (0.019 mmol), bis(thio)urea/MTBD
(0.024 mmol each) in C6D6. a. Monomer conversion was monitored via 1H NMR. b. M
d M /M
d t
i
d b GPC (CH Cl )
l
t
t
d d Mn and Mw/Mn were determined by GPC (CH2Cl2) versus polystyrene standards. 150 Table 4.3. 1 (1), 19–22. Bis(thio)urea Plus MTBD cocatalyzed ROP of VL in Acetone-d6 and
solvent
H-bond donor
(2-S/On)
time
(min)
conv.c (%)
Mnd (g/mol)
Mw/Mnd
acetone-d6a
2-S5
180
90
8 900
1.08
2-O5
12
84
8 200
1.05
2-O12
40
84
8 200
1.10
solvent-freeb
2-O3
20
99
42 300
1.05
2-O4
22
99
49 600
1.04
2-O5
12
99
42 300
1.03
2-O6
19
99
39 400
1.02
2-O12
29
99
39 200
1.02 solvent
H-bond donor
(2-S/On)
time
(min)
conv.c (%)
Mnd (g/mol)
Mw/Mnd
acetone-d6a
2-S5
180
90
8 900
1.08
2-O5
12
84
8 200
1.05
2-O12
40
84
8 200
1.10
solvent-freeb
2-O3
20
99
42 300
1.05
2-O4
22
99
49 600
1.04
2-O5
12
99
42 300
1.03
2-O6
19
99
39 400
1.02
2-O12
29
99
39 200
1.02 Table 4.3. Bis(thio)urea Plus MTBD cocatalyzed ROP of VL in Acetone-d6 and
Solvent-free conditions. a) Reaction conditions: VL (1.0 mmol, 1 equiv, 2 M), benzyl
alcohol (0.019 mmol), bis(thio)urea/MTBD (0.024 mmol each) in acetone-d6. b)
Solvent free-reaction conditions: VL (3.99 mmol, 1 equiv), benzyl alcohol (0.019
mmol), cocatalyst (0.019 mmol each). c) Monomer conversion was monitored via 1H
NMR. d) Mn and Mw/Mn were determined by GPC (CH2Cl2) versus polystyrene
standards. 151 VL or
CL
Solvent
H-bond donor
(2-O5-N/O)
Time
(min)
conv. d
(%)
Mne (g/mol)
Mw/Mne
VL
benzene-d6 a
2-O5-N
10
88
8 000
1.05
2-O5-O
5
90
8 000
1.06
acetone-d6 b
2-O5-N
8
86
7 800
1.10
2-O5-O
5
86
7 700
1.11
solvent-free
2-O5-Nd
5
91
37 500
1.02
2-O5-Oe
4
99
110 500
1.03
CL
solvent-freec
2-O5
30
99
50 500
1.14
2-O5-N
18
99
51 100
1.20
2-O5-O
8
99
47 000
1.13 VL or
CL
Solvent
H-bond donor
(2-O5-N/O)
Time
(min)
conv. d
(%)
Mne (g/mol)
Mw/Mne
VL
benzene-d6 a
2-O5-N
10
88
8 000
1.05
2-O5-O
5
90
8 000
1.06
acetone-d6 b
2-O5-N
8
86
7 800
1.10
2-O5-O
5
86
7 700
1.11
solvent-free
2-O5-Nd
5
91
37 500
1.02
2-O5-Oe
4
99
110 500
1.03
CL
solvent-freec
2-O5
30
99
50 500
1.14
2-O5-N
18
99
51 100
1.20
2-O5-O
8
99
47 000
1.13 Table 4.4. ROP of VL or CL cocatalyzed by MTBD plus Bisureas with Heteroatom-
containing Tethers. a) Reaction conditions: VL (1.0 mmol, 1 equiv, 2 M), benzyl alcohol
(0.019 mmol), cocatalyst (0.024 mmol each) in C6D6 or acetone-d6. 1 (1), 19–22. b) Solvent free-
reaction conditions: VL or CL (3.99 mmol, 1 equiv), benzyl alcohol (0.019 mmol),
cocatalyst (0.019 mmol each) c) Solvent free-reaction conditions: VL (3.99 mmol, 1
equiv), benzyl alcohol (0.008 mmol), cocatalyst (0.019 mmol each). d) Monomer
conversion was monitored via 1H NMR. e) Mn and Mw/Mn were determined by GPC
(CH2Cl2) versus polystyrene standards. 152 Table 4.5. ROP of VL cocatalyzed by MTBD plus Bisthioureas with Heteroat
containing Tethers. a) Reaction conditions: VL (1.0 mmol, 1 equiv, 2 M), benzyl alc
(0.019 mmol), cocatalyst (0.024 mmol each) in C6D6 or acetone-d6, b) Reaction conditi
VL (3.99 mmol, 1 equiv), benzyl alcohol (0.019 mmol), cocatalyst (0.019 mmol each
Monomer conversion was monitored via 1H NMR. d) Mn and Mw/Mn were determine
Solvent
H-bond donor
(2-S5-N/O)
Time
(min)
conv. c
(%)
Mnd (g/mol)
Mw/Mnd
benzene-d6 a
2-S5-N
100
89
8 600
1.05
2-S5-O
50
90
10 600
1.03
acetone-d6 a
2-S5-N
240
84
7 700
1.07
2-S5-O
210
83
10 500
1.04
solvent-freeb
2-S5-N
90
97
42 600
1.06
2-S5-O
60
99
43 600
1.06 Table 4.5. ROP of VL cocatalyzed by MTBD plus Bisthioureas with Heteroatom
containing Tethers. a) Reaction conditions: VL (1.0 mmol, 1 equiv, 2 M), benzyl alcoh
(0.019 mmol), cocatalyst (0.024 mmol each) in C6D6 or acetone-d6, b) Reaction condition
VL (3.99 mmol, 1 equiv), benzyl alcohol (0.019 mmol), cocatalyst (0.019 mmol each). c
Monomer conversion was monitored via 1H NMR. d) Mn and Mw/Mn were determined b
GPC (CH2Cl2) versus polystyrene standards. Solvent
H-bond donor
(2-S5-N/O)
Time
(min)
conv. c
(%)
Mnd (g/mol)
Mw/Mnd
benzene-d6 a
2-S5-N
100
89
8 600
1.05
2-S5-O
50
90
10 600
1.03
acetone-d6 a
2-S5-N
240
84
7 700
1.07
2-S5-O
210
83
10 500
1.04
solvent-freeb
2-S5-N
90
97
42 600
1.06
2-S5-O
60
99
43 600
1.06 Table 4 5 ROP of VL cocatalyzed by MTBD plus Bisthioureas with Heteroa
Solvent
H-bond donor
(2-S5-N/O)
Time
(min)
conv. c
(%)
Mnd (g/mol)
Mw/Mnd
benzene-d6 a
2-S5-N
100
89
8 600
1.05
2-S5-O
50
90
10 600
1.03
acetone-d6 a
2-S5-N
240
84
7 700
1.07
2-S5-O
210
83
10 500
1.04
solvent-freeb
2-S5-N
90
97
42 600
1.06
2-S5-O
60
99
43 600
1.06 Table 4.5. ROP of VL cocatalyzed by MTBD plus Bisthioureas with Heteroatom-
containing Tethers. 1 (1), 19–22. a) Reaction conditions: VL (1.0 mmol, 1 equiv, 2 M), benzyl alcohol
(0.019 mmol), cocatalyst (0.024 mmol each) in C6D6 or acetone-d6, b) Reaction conditions:
VL (3.99 mmol, 1 equiv), benzyl alcohol (0.019 mmol), cocatalyst (0.019 mmol each). c)
Monomer conversion was monitored via 1H NMR. d) Mn and Mw/Mn were determined by
GPC (CH2Cl2) versus polystyrene standards. 153 solvent
H-bond donor
(2-S/O5-N/O)
Time
(min)
conv.c (%)
Mnd
(g/mol)
Mw/Mnd
CH2Cl2 a
2-S5
12
90
17 400
1.05
2-S5-N
20
90
17 600
1.04
2-S5-O
5
90
18 800
1.04
solvent-free b
2-O5-O
105
90
15 800
1.13
2-S5-O
15
90
18 500
1.06 solvent
H-bond donor
(2-S/O5-N/O)
Time
(min)
conv.c (%)
Mnd
(g/mol)
Mw/Mnd
CH2Cl2 a
2-S5
12
90
17 400
1.05
2-S5-N
20
90
17 600
1.04
2-S5-O
5
90
18 800
1.04
solvent-free b
2-O5-O
105
90
15 800
1.13
2-S5-O
15
90
18 500
1.06 solvent
H-bond donor
(2-S/O5-N/O)
Time
(min)
conv.c (%)
Mnd
(g/mol)
Mw/Mnd
CH2Cl2 a
2-S5
12
90
17 400
1.05
2-S5-N
20
90
17 600
1.04
2-S5-O
5
90
18 800
1.04
solvent-free b
2-O5-O
105
90
15 800
1.13
2-S5-O
15
90
18 500
1.06 Table 4.6. Bis(thio)urea and Me6TREN cocatalyzed ROP of L-LA. a) Reaction conditions: L-
LA (0.693 mmol, 1 equiv, 1 M), benzyl alcohol (0.0069 mmol,), cocatalyst (0.017 mmol each)
in CH2Cl2. b) Solvent-free reaction conditions: L-LA (1.38 mmol, 1 equiv), benzyl alcohol
(0.0138 mmol), cocatalyst (0.007 mmol each) at 100 °C. c) Monomer conversion was
monitored via 1H NMR. d) Mn and Mw/Mn were determined by GPC (CH2Cl2) versus
polystyrene standards. 154 Table 4.7. Mono(thio)urea and Me6TREN cocatalyzed ROP of L-LA. Reaction conditions
L-LA (0 50 mmol 1 equiv 1 M) benzyl alcohol (0 005 mmol) cocatalyst (0 025 mmo
H-bond donor
pKaa
time
(min)
conv.b
(%)
Mnc
(g/mol)
Mw/Mnc
1-S-H
16.8
1440
-
-
-
1-O-CF3
16.1
35
90
17 900
1.04
1-S
13.2
48
90
18 900
1.07
Schreiner’s urea
13.8
1
92
19 300
1.07
Schreiner’s
thiourea
8.5
600
90
18 100
1.04 Table 4.7. Mono(thio)urea and Me6TREN cocatalyzed ROP of L-LA. Reaction conditions: L-LA (0.50 mmol, 1 equiv, 1 M), benzyl alcohol (0.005 mmol), cocatalyst (0.025 mmol
each) in CH2Cl2. a) pKa values in DMSO21 b) Monomer conversion was monitored via 1H
NMR. c) Mn and Mw/Mn were determined by GPC (CH2Cl2) versus polystyrene standards. 1 (1), 19–22. L-LA (0.50 mmol, 1 equiv, 1 M), benzyl alcohol (0.005 mmol), cocatalyst (0.025 mmol
each) in CH2Cl2. a) pKa values in DMSO21 b) Monomer conversion was monitored via 1H
NMR. c) Mn and Mw/Mn were determined by GPC (CH2Cl2) versus polystyrene standards. L-LA (0.50 mmol, 1 equiv, 1 M), benzyl alcohol (0.005 mmol), cocatalyst (0.025 mmol
each) in CH2Cl2. a) pKa values in DMSO21 b) Monomer conversion was monitored via 1H
NMR. c) Mn and Mw/Mn were determined by GPC (CH2Cl2) versus polystyrene standards. Scheme 4.1. Neutral H-bond versus imidate mediated ROP of VL. Scheme 4.1. Neutral H-bond versus imidate mediated ROP of VL. 155 Figure 4.1. Mono(thio)urea, bis(thio)urea donors evaluated for the 1-X/2-Xn plus MTBD
and Me6TREN mediated ROP of VL, CL, L-LA and proposed activated-thiourea mode
activation for bis-(thio)urea H-bond donors. Figure 4.1. Mono(thio)urea, bis(thio)urea donors evaluated for the 1-X/2-Xn plu Figure 4.1. Mono(thio)urea, bis(thio)urea donors evaluated for the 1-X/2-Xn plus MTBD
and Me6TREN mediated ROP of VL, CL, L-LA and proposed activated-thiourea mode
activation for bis-(thio)urea H-bond donors. Figure 4.1. Mono(thio)urea, bis(thio)urea donors evaluated for the 1-X/2-Xn plus MTBD
and Me6TREN mediated ROP of VL, CL, L-LA and proposed activated-thiourea mode
activation for bis-(thio)urea H-bond donors. Figure 4.2. Mn and Mw/Mn versus conversion for the H-bond donor plus MTBD
cocatalyzed ROP of VL using (left) 2-S5 and (right) 2-O5. Reaction conditions: VL (1.0
mmol, 1 equiv, 2 M), benzyl alcohol (0.019 mmol), 2-X5/MTBD (0.024 mmol each) in
C6D6. 1
1.2
1.4
1.6
1.8
2
0
2000
4000
6000
8000
10000
0
20
40
60
80
100
Mw/Mn
Mn
% conversion
1
1.2
1.4
1.6
1.8
2
0
2000
4000
6000
8000
10000
0
20
40
60
80
100
Mw/Mn
Mn
% conversion 1
1.2
1.4
1.6
1.8
2
0
2000
4000
6000
8000
10000
0
20
40
60
80
100
Mw/Mn
Mn
% conversion 1
1.2
1.4
1.6
1.8
2
0
2000
4000
6000
8000
10000
0
20
40
60
80
100
Mw/Mn
Mn
% conversion Figure 4.2. Mn and Mw/Mn versus conversion for the H-bond donor plus MTBD
cocatalyzed ROP of VL using (left) 2-S5 and (right) 2-O5. Reaction conditions: VL (1.0
mmol, 1 equiv, 2 M), benzyl alcohol (0.019 mmol), 2-X5/MTBD (0.024 mmol each) in
C6D6. C6D6. 156 Figure 4.3. Proposed activated (thio)urea anion mechanism for the bisurea plus MTBD
mediated ROP of VL. Figure 4.3. 1 (1), 19–22. Proposed activated (thio)urea anion mechanism for the bisurea plus MTBD
mediated ROP of VL. Figure 4.4. Downfield portion of 1H NMR spectra (400 MHz, ppm) of 2-O5 plus MTBD
in acetone-d6. Figure 4.4. Downfield portion of 1H NMR spectra (400 MHz, ppm) of 2-O5 plus MTBD
in acetone-d6. 157 Figure 4.5. First order evolution of VL versus time for the 2-O5/MTBD catalyzed ring-
opening polymerization of VL. Conditions: VL (2 M, 1 mmol), benzyl alcohol (2 mol%,
0.019 mmol), 2-O5 (0.024 mmol), MTBD orange - 0.024 mmol, blue- 0.048 mmol) in
acetone-d6. y = 0.2973x + 0.0046
R² = 0.9895
y = 0.2979x - 0.0058
R² = 0.9765
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0
0.2
0.4
0.6
0.8
1
1.2
ln ([VL]0/[VL])
Time (min)
2-O5:MTBD (1:1)
2-O5+MTBD (1:2) y = 0.2973x + 0.0046
R² = 0.9895
y = 0.2979x - 0.0058
R² = 0.9765
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0
0.2
0.4
0.6
0.8
1
1.2
ln ([VL]0/[VL])
Time (min)
2-O5:MTBD (1:1)
2-O5+MTBD (1:2) Figure 4.5. First order evolution of VL versus time for the 2-O5/MTBD catalyzed ring-
opening polymerization of VL. Conditions: VL (2 M, 1 mmol), benzyl alcohol (2 mol%,
0.019 mmol), 2-O5 (0.024 mmol), MTBD orange - 0.024 mmol, blue- 0.048 mmol) in
acetone-d6. Reaction conditions: VL (1.0 mmol, 1 equiv, 2 M), benzyl alcohol (0.019 mmol), cocatalyst
(0.024 mmol each) in acetone-d6. y = 104.51x + 126.67
R² = 0.9831
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
0
20
40
60
80
100
Mw/Mn
Mn
% conversion Reaction conditions: VL (1.0 mmol, 1 equiv, 2 M), benzyl alcohol (0.019 mmol), cocatalyst
(0.024 mmol each) in acetone-d6. 158 Figure 4.7. Mn and Mw/Mn versus conversion for 2-O5-O catalyst. Reaction conditions: VL
(3.99 mmol, 1 equiv), benzyl alcohol (0.008 mmol), cocatalyst (0.024 mmol each) under
solvent free conditions. Figure 4.7. Mn and Mw/Mn versus conversion for 2-O5-O catalyst. Reaction conditions: VL
(3.99 mmol, 1 equiv), benzyl alcohol (0.008 mmol), cocatalyst (0.024 mmol each) under
solvent free conditions. Figure 4.8. (left) Mn and Mw/Mn versus conversion for 2-S5, (right) Mn versus conversion
for 2-O5 catalyst. Reaction conditions: VL (3.99 mmol, 1 equiv.), benzyl alcohol (0.019
mmol,), cocatalyst (0.019 mmol each) under solvent free conditions. 1 (1), 19–22. y = 718.11x - 2880.5
R² = 0.9722
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
10000
20000
30000
40000
50000
60000
70000
80000
0
20
40
60
80
100
Mw/Mn
Mn
% Conversion
y = 246.67x + 710.84
R² = 0.9966
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
5000
10000
15000
20000
25000
0
50
100
Mw/Mn
Mn
% Conversion y = 718.11x - 2880.5
R² = 0.9722
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
10000
20000
30000
40000
50000
60000
70000
80000
0
20
40
60
80
100
Mw/Mn
Mn
% Conversion y = 246.67x + 710.84
R² = 0.9966
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
5000
10000
15000
20000
25000
0
50
100
Mw/Mn
Mn
% Conversion Figure 4.8. (left) Mn and Mw/Mn versus conversion for 2-S5, (right) Mn versus conversion
for 2-O5 catalyst. Reaction conditions: VL (3.99 mmol, 1 equiv.), benzyl alcohol (0.019
mmol,), cocatalyst (0.019 mmol each) under solvent free conditions. 159 Figure 4.9. Downfield portion of 1 H NMR spectra (400 MHz, ppm) of 2-O5-O and 2-S5-
O with and without Me6TREN in acetone- d6. +
Me6TREN
+
Me6TREN
a
a
a
b
b
b
c
c
c
d
d
d
c
c
c
d
a
b
c
c
c
c
c
c
d
d
d
d
a
d
a
a
b
b
b Figure 4.9. Downfield portion of 1 H NMR spectra (400 MHz, ppm) of 2-O5-O and 2-S5-
O with and without Me6TREN in acetone- d6. 160 Figure 4.10. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(ethane-1,2-
diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O2), (Lower) 13C NMR (acetone-d6,
100
MHz,
ppm)
spectrum
of
1,1'-(ethane-1,2-diyl)bis(3-(3,5- Figure 4.10. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(ethane-1,2- Figure 4.10. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(ethane-1,2-
diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O2), (Lower) 13C NMR (acetone-d6,
100
MHz,
ppm)
spectrum
of
1,1'-(ethane-1,2-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)urea). Figure 4.10. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(ethane-1,2-
diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O2), (Lower) 13C NMR (acetone-d6,
100
MHz,
ppm)
spectrum
of
1,1'-(ethane-1,2-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)urea). 161 Figure 4.11. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O4), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O4), Figure 4.11. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O4), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O4), Figure 4.11. 1 (1), 19–22. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O4), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O4), Figure 4.11. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O4), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O4), 162 Figure 4.12. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O5), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O5). Figure 4.12. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O5), (Lower)
13 Figure 4.12. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O5), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O5). Figure 4.12. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O5), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O5). 163 Figure 4.13. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O6), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O6). Figure 4.13. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O6), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O6). 164 Figure 4.14. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O12), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O12). Figure 4.14. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O12), (Lower) Figure 4.14. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of (2-O12), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of (2-O12). 165 Figure 4.15. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-
((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)urea)
(2-
O5-N), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of 1,1'-
((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)urea). Figure 4.15. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-
((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)urea)
(2-
O5-N), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of 1,1'-
((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)urea). Figure 4.15. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-
((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)urea)
(2-
O5-N), (Lower)
13C NMR (acetone-d6, 100 MHz, ppm) spectrum of 1,1'-
((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)urea). 166 Figure 4.16. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(oxybis(ethane-
2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O5-O), (Lower) 13C NMR (acetone-
d6, 100 MHz, ppm) spectrum of 1,1'-(oxybis(ethane-2,1-diyl))bis(3-(3,5-
bis(trifluoromethyl)phenyl)urea). Figure 4.16. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(oxybis(ethane-
2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O5-O), (Lower) 13C NMR (acetone-
d6, 100 MHz, ppm) spectrum of 1,1'-(oxybis(ethane-2,1-diyl))bis(3-(3,5-
bis(trifluoromethyl)phenyl)urea). Figure 4.16. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(oxybis(ethane-
2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)urea) (2-O5-O), (Lower) 13C NMR (acetone-
d6, 100 MHz, ppm) spectrum of 1,1'-(oxybis(ethane-2,1-diyl))bis(3-(3,5-
bis(trifluoromethyl)phenyl)urea). 167 Figure 4.17. 1 (1), 19–22. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(2,2-
dimethylpropane-1,3-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea)
(2-O3-diMe)
,
(Lower) 13C NMR (acetone-d6, 100 MHz, ppm) spectrum of 1,1'-(2,2-dimethylpropane-
1,3-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea). Figure 4.17. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(2,2-
dimethylpropane-1,3-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea)
(2-O3-diMe)
,
(Lower) 13C NMR (acetone-d6, 100 MHz, ppm) spectrum of 1,1'-(2,2-dimethylpropane-
1,3-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea). Figure 4.17. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(2,2-
dimethylpropane-1,3-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea)
(2-O3-diMe)
,
(Lower) 13C NMR (acetone-d6, 100 MHz, ppm) spectrum of 1,1'-(2,2-dimethylpropane-
1,3-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)urea). 168 Figure 4 18 (Upper) 1H NMR (acetone d6 400 MHz ppm) spectrum of 1 1' (butane 1 4 Figure 4.18. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(butane-1,4
iyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S4), (Lower) 13C NMR (acetone
6,
100
MHz,
ppm)
spectrum
of
1,1'-(butane-1,4-diyl)bis(3-(3,5
i (t ifl
th l) h
l)thi
) Figure 4.18. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(butane-1,4-
diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S4), (Lower) 13C NMR (acetone-
d6,
100
MHz,
ppm)
spectrum
of
1,1'-(butane-1,4-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). 169 Figure 4.19. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(pentane-1,5-
diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S5), (Lower) 13C NMR (acetone-
d6,
100
MHz,
ppm)
spectrum
of
1,1'-(pentane-1,5-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea) Figure 4.19. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(pentane-1,5- Figure 4.19. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(pentane-1,5-
diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S5), (Lower) 13C NMR (acetone-
d6,
100
MHz,
ppm)
spectrum
of
1,1'-(pentane-1,5-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). 170 Figure 4.20. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(hexane-1,6-
diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S6), (Lower) 13C NMR (acetone-
d6,
100
MHz,
ppm)
spectrum
of
1,1'-(hexane-1,6-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). Figure 4.20. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(hexane-1,6-
diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S6), (Lower) 13C NMR (acetone-
d6,
100
MHz,
ppm)
spectrum
of
1,1'-(hexane-1,6-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). Figure 4.20. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(hexane-1,6-
diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S6), (Lower) 13C NMR (acetone- Figure 4.20. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(hexane-1,6-
diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S6), (Lower) 13C NMR (acetone-
d6,
100
MHz,
ppm)
spectrum
of
1,1'-(hexane-1,6-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). 171 Figure 4.21. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(dodecane-
1,12-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S12), (Lower) 13C NMR
(acetone-d6,
100
MHz,
ppm)
spectrum
of
1,1'-(dodecane-1,12-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). Figure 4.21. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(dodecane-
1,12-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S12), (Lower) 13C NMR
(acetone-d6,
100
MHz,
ppm)
spectrum
of
1,1'-(dodecane-1,12-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). Figure 4.21. (Upper) 1H NMR (acetone-d6, 400 MHz, ppm) spectrum of 1,1'-(dodecane-
1,12-diyl)bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S12), (Lower) 13C NMR
(acetone-d6,
100
MHz,
ppm)
spectrum
of
1,1'-(dodecane-1,12-diyl)bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). 172 Figure 4.22. 1 (1), 19–22. (Upper)
1H NMR (acetone-d6, 400 MHz, ppm) spectrum 1,1'-
((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea)
(2-S5-N), (Lower) 13C NMR (acetone- d6, 100 MHz, ppm) spectrum of 1,1'-
((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) Figure 4.22. (Upper)
1H NMR (acetone-d6, 400 MHz, ppm) spectrum 1,1'-
((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea)
(2-S5-N), (Lower) 13C NMR (acetone- d6, 100 MHz, ppm) spectrum of 1,1'-
((methylazanediyl)bis(ethane-2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) 173 Figure 4.23. (Upper) 1H NMR (acetone- d6, 400 MHz, ppm) spectrum 1,1'-(oxybis(ethane-
2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S5-O), (Lower) 13C NMR
(acetone- d6, 100 MHz, ppm) spectrum of 1,1'-(oxybis(ethane-2,1-diyl))bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). CF3
F3C
N
H
N
H
O
N
H
N
H
S
CF3
CF3
S
CF3
F3C
N
H
N
H
O
N
H
N
H
S
CF3
CF3
S
Figure 4.23. (Upper) 1H NMR (acetone- d6, 400 MHz, ppm) spectrum 1,1'-(oxybis(ethane-
2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S5-O), (Lower) 13C NMR
(acetone- d6, 100 MHz, ppm) spectrum of 1,1'-(oxybis(ethane-2,1-diyl))bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). CF3
F3C
N
H
N
H
O
N
H
N
H
S
CF3
CF3
S
Figure 4.23. (Upper) 1H NMR (acetone- d6, 400 MHz, ppm) spectrum 1,1'-(oxybis(ethane-
2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S5-O), (Lower) 13C NMR
(acetone- d6, 100 MHz, ppm) spectrum of 1,1'-(oxybis(ethane-2,1-diyl))bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea).
Figure 4.23. (Upper) 1H NMR (acetone- d6, 400 MHz, ppm) spectrum 1,1'-(oxybis(ethane-
2,1-diyl))bis(3-(3,5-bis(trifluoromethyl)phenyl)thiourea) (2-S5-O), (Lower) 13C NMR
(acetone- d6, 100 MHz, ppm) spectrum of 1,1'-(oxybis(ethane-2,1-diyl))bis(3-(3,5-
bis(trifluoromethyl)phenyl)thiourea). 174 MANUSCRIPT – V Published in ACS Macro Letters Triclocarban: commercial antibacterial and highly effective H-bond donating Email address: mkiesewetter@chm.uri.edu INTRODUCTION H-bond mediated ring-opening polymerization (ROP) has attracted interest due to the
highly controlled nature of these transformations.1−4 These mild, highly functional group
tolerant catalysts, especially the bimolecular systems consisting of (thio)urea H-bond
donor plus H-bond accepting base, have facilitated the construction of precise polymer
architectures, multiblocks, and well-defined systems.3,5−8 Targeted efforts by several
groups toward rate-accelerated, H-bond mediated ROP seek to address a critical
shortcoming of the field: low activity.9−12 For example, our group has recently disclosed
the utility of urea H-bond donors for rate accelerated ROP;13 thiourea H-bond donors have
been used in organocatalytic ROP for more than a decade, but are less active.3 Another
barrier to the wide implementation of this chemistry is the paucity of commercially
available H-bond donors. Most (thio)urea catalysts are synthesized via a “click” reaction
of an appropriate amine and iso(thio)cyanate.3,14,15 While simple, this stands in contrast to
the wide array of readily available H-bond accepting base cocatalysts and adds a synthetic
step prior to conducting polymerization chemistry. Certainly, the ready availability of
chemical reagents and catalysts facilitates the wide implementation of chemical
transformations. In this context, the antibacterial compound, triclocarban (TCC, Figure 1),
recently banned as a hand soap additive by the FDA, captured our attention.16 It is an
electron-deficient biaryl urea, similar to the slate of urea and multiurea H-bond donating
catalysts that we recently showed to be highly active for ROP.13 While TCC has attracted
considerable scientific interest as an antibacterial compound, possible bioaccumulate, and H-bond mediated ring-opening polymerization (ROP) has attracted interest due to the
highly controlled nature of these transformations.1−4 These mild, highly functional group
tolerant catalysts, especially the bimolecular systems consisting of (thio)urea H-bond
donor plus H-bond accepting base, have facilitated the construction of precise polymer
architectures, multiblocks, and well-defined systems.3,5−8 Targeted efforts by several
groups toward rate-accelerated, H-bond mediated ROP seek to address a critical
shortcoming of the field: low activity.9−12 For example, our group has recently disclosed
the utility of urea H-bond donors for rate accelerated ROP;13 thiourea H-bond donors have
been used in organocatalytic ROP for more than a decade, but are less active.3 Another
barrier to the wide implementation of this chemistry is the paucity of commercially
available H-bond donors. ABSTRACT The antibacterial compound, triclocarban (TCC), is shown to be a highly effective
H-bond donating catalyst for ring-opening polymerization (ROP) when applied with an H-
bond accepting base cocatalyst. These ROPs exhibit the characteristics of ‘living’
polymerizations. TCC is shown to possess the high activity characteristic of urea (vs
thiourea) H-bond donors. The urea class of H-bond donors is shown to remain highly
active in H-bonding solvents, a trait that is not displayed by the corresponding thiourea H-
bond donors. Two H-bond donating ureas that are electronically similar to TCC are
evaluated for their efficacy in ROP, and a mechanism of action is proposed. This ‘off-the-
shelf’ H-bond donor is among the most active and most controlled organocatalysts for the
ROP of lactones. 176 INTRODUCTION Most (thio)urea catalysts are synthesized via a “click” reaction
of an appropriate amine and iso(thio)cyanate.3,14,15 While simple, this stands in contrast to
the wide array of readily available H-bond accepting base cocatalysts and adds a synthetic
step prior to conducting polymerization chemistry. Certainly, the ready availability of
chemical reagents and catalysts facilitates the wide implementation of chemical
transformations. In this context, the antibacterial compound, triclocarban (TCC, Figure 1),
recently banned as a hand soap additive by the FDA, captured our attention.16 It is an
electron-deficient biaryl urea, similar to the slate of urea and multiurea H-bond donating
catalysts that we recently showed to be highly active for ROP.13 While TCC has attracted
considerable scientific interest as an antibacterial compound, possible bioaccumulate, and 177 possible environmental toxin, we believe that this readily available compound has not
previously been employed as a catalyst.17−19 le environmental toxin, we believe that this readily available compound has no 178 EXPERIMENTAL SECTION General Considerations. All chemicals were purchased from Fisher Scientific and used
as
received
unless
stated
otherwise. Triclocarban
(TCC),
7-methyl-1,5,7-
triazabicyclo[4.4.0]dec-5-ene (MTBD) and 1,8-diazabicyclo[5.4.0]undec-7-ene (DBU)
were purchased from TCI. Tris[2-(dimethylamino)ethyl]amine (Me6TREN) and 2-tert-
butylimino-2-diethylamino-1,3-dimethylperhydro-1,3,2-diazaphosphorine (BEMP) were
purchased from Alfa Aesar. Benzyl alcohol and 1,2-dichlorobenzene were distilled under
high vacuum from calcium hydride. THF was dried on an Innovative Technology solvent
purification system. DMF was dried over 4 Å molecular sieves for 48 h prior to use. 1-
pyrenebutanol was purchased from Sigma Aldrich. δ-valerolactone (VL), ε-caprolactone
(CL) and β-butyrolactone (BL) were distilled from calcium hydride under high vacuum. L-Lactide (L-LA) was purchased from Acros Organics and recrystallized from dry toluene. Benzene-d6 and chloroform-d were purchased from Cambridge Isotope Laboratories and
distilled from calcium hydride. Acetone-d6 was purchased from Cambridge Isotope
Laboratories and stored over 4 Å molecular sieves for 48 h prior to use. Experiments were
conducted using pre-dried glassware in an MBRAUN or INERT stainless steel glovebox
or using a Schlenk line under nitrogen atmosphere. NMR experiments were conducted on
a Bruker Avance III 300 MHz or 400 MHz spectrometer or a Varian 500 MHz
spectrometer. Gel Permeation Chromatography (GPC) was performed at 40 °C using
HPLC grade dichloromethane eluent on an Agilent Infinity GPC system equipped with
three Agilent PLGel columns 7.5 mm × 300 mm (5 μm, pore sizes: 103, 104, 50 Å). Mn
and Mw/Mn were determined versus polystyrene standards (500 g/mol-3150 kg/mol, General Considerations. All chemicals were purchased from Fisher Scientific and used
as
received
unless
stated
otherwise. Triclocarban
(TCC),
7-methyl-1,5,7-
triazabicyclo[4.4.0]dec-5-ene (MTBD) and 1,8-diazabicyclo[5.4.0]undec-7-ene (DBU)
were purchased from TCI. Tris[2-(dimethylamino)ethyl]amine (Me6TREN) and 2-tert-
butylimino-2-diethylamino-1,3-dimethylperhydro-1,3,2-diazaphosphorine (BEMP) were
purchased from Alfa Aesar. Benzyl alcohol and 1,2-dichlorobenzene were distilled under
high vacuum from calcium hydride. THF was dried on an Innovative Technology solvent
purification system. DMF was dried over 4 Å molecular sieves for 48 h prior to use. 1-
pyrenebutanol was purchased from Sigma Aldrich. δ-valerolactone (VL), ε-caprolactone
(CL) and β-butyrolactone (BL) were distilled from calcium hydride under high vacuum. L-Lactide (L-LA) was purchased from Acros Organics and recrystallized from dry toluene. Benzene-d6 and chloroform-d were purchased from Cambridge Isotope Laboratories and
distilled from calcium hydride. Acetone-d6 was purchased from Cambridge Isotope
Laboratories and stored over 4 Å molecular sieves for 48 h prior to use. EXPERIMENTAL SECTION Experiments were
conducted using pre-dried glassware in an MBRAUN or INERT stainless steel glovebox
or using a Schlenk line under nitrogen atmosphere. NMR experiments were conducted on
a Bruker Avance III 300 MHz or 400 MHz spectrometer or a Varian 500 MHz
spectrometer. Gel Permeation Chromatography (GPC) was performed at 40 °C using
HPLC grade dichloromethane eluent on an Agilent Infinity GPC system equipped with
three Agilent PLGel columns 7.5 mm × 300 mm (5 μm, pore sizes: 103, 104, 50 Å). Mn
and Mw/Mn were determined versus polystyrene standards (500 g/mol-3150 kg/mol, 179 Polymer Laboratories). Mass spectrometry was performed using a Thermo Scientific (San
Jose, CA, USA) LTQ Orbitrap XL mass spectrometer affixed with either an atmospheric-
pressure chemical ionization (APCI) or electrospray ionization (ESI) interface, positive
ions were produced and introduced into the S2 instrument. Tune conditions for infusion
experiments (5 μL/min flow, sample concentration 5 μg/mL in 50/50 v/v water/methanol)
were as follows: ionspray voltage, 5 kV; capillary temperature, 275 °C; sheath gas (N2,
arbitrary units), 8; auxiliary gas (N2, arbitrary units), 2; capillary voltage, 35 V; and tube
lens, 90 V. Prior to analysis, the instrument was calibrated for positive ions using Pierce
LTQ ESI positive ion calibration solution (lot #PC197784). Ion trap experiments used N2
as a collision gas with normalized collision energies (NCE) between 10-25 eV for
multistage fragmentation. High-energy collision (HCD) experiments were performed with
He as the collision gas with a NCE of 25 eV. Polymer Laboratories). Mass spectrometry was performed using a Thermo Scientific (San
Jose, CA, USA) LTQ Orbitrap XL mass spectrometer affixed with either an atmospheric-
pressure chemical ionization (APCI) or electrospray ionization (ESI) interface, positive
ions were produced and introduced into the S2 instrument. Tune conditions for infusion
experiments (5 μL/min flow, sample concentration 5 μg/mL in 50/50 v/v water/methanol)
were as follows: ionspray voltage, 5 kV; capillary temperature, 275 °C; sheath gas (N2,
arbitrary units), 8; auxiliary gas (N2, arbitrary units), 2; capillary voltage, 35 V; and tube
lens, 90 V. Prior to analysis, the instrument was calibrated for positive ions using Pierce
LTQ ESI positive ion calibration solution (lot #PC197784). Ion trap experiments used N2
as a collision gas with normalized collision energies (NCE) between 10-25 eV for
multistage fragmentation. High-energy collision (HCD) experiments were performed with
He as the collision gas with a NCE of 25 eV. Example ring-opening polymerization of VL. EXPERIMENTAL SECTION To a 7 mL vial, TCC (15.7 mg, 0.05
mmol), VL (100 mg, 1.0 mmol) and benzene-d6 (250 μL) were added. The contents were
stirred until the solution became homogenous. To a second 7 ml vial, benzyl alcohol (4.3
mg, 0.04 mmol), MTBD (7.6 mg, 0.05 mmol) and benzene-d6 (250 μL) were added. The
contents in the second vial were transferred to the first vial via Pasteur pipette, and the
contents were agitated to mix. The reaction solution was then transferred to an NMR tube,
and the progress of the reaction monitored by 1H NMR. The reaction was quenched by the
addition of benzoic acid (6.1 mg, 0.05 mmol). Polymer isolated by precipitation with
hexanes contains residual TCC that can be removed by repeated precipitation or washing 180 with methanol. PVL was removed of volatiles under high vacuum prior to characterization. Yield 89%, Mn (GPC)= 5,400, Mw/Mn = 1.09, Mn (NMR) = 2,700. with methanol. PVL was removed of volatiles under high vacuum prior to characterization. Yield 89%, Mn (GPC)= 5,400, Mw/Mn = 1.09, Mn (NMR) = 2,700. Example post-polymerization transesterification. To a 7 mL vial, TCC (15.7 mg, 0.05
mmol), VL (100 mg, 1.0 mmol) and benzene-d6 (250 μL) were added. The contents were
stirred until the solution became homogenous. To a second 7 ml vial, benzyl alcohol (1.1
mg, 0.01 mmol), MTBD (7.6 mg, 0.05 mmol) and benzene-d6 (250 μL) were added. The
contents in the second vial were transferred to the first vial via Pasteur pipette, and the
contents were agitated to mix. Three 50 μL aliquots from the reaction were quenched at
20 min, 45 min and 60 min using benzoic acid (6.2 mg, 0.05 mmol). Polymer in each
aliquot was then isolated by precipitation with hexanes. PVL was removed of volatiles
under high vacuum prior to characterization by GPC: Mn = 22,300, 23,900, 23,900, Mw/Mn
= 1.02, 1.03, 1.03 respectively. Example chain extension experiment. To a 7 mL vial, TCC (15.7 mg, 0.05 mmol), VL
(100 mg, 1.0 mmol) and benzene-d6 (250 μL) were added. The contents were agitated until
the solution became homogenous. To a second 7 ml vial, 1-pyrenebutanol (5.5 mg, 0.02
mmol), MTBD (7.6 mg, 0.05 mmol) and benzene-d6 (250 μL) were added. The contents
of the second vial were transferred to the first vial via Pasteur pipette, and the contents
were agitated to mixed. EXPERIMENTAL SECTION After 13 min, a 100 μL aliquot from the reaction was quenched
using benzoic acid (6.2 mg, 0.05 mmol), and VL (100 mg, 1.0 mmol) was added to the
reaction vial. A second 100 μL aliquot from the reaction vial was quenched in 27 min Example chain extension experiment. To a 7 mL vial, TCC (15.7 mg, 0.05 mmol), VL 181 using benzoic acid (6.2 mg, 0.05 mmol). Conversion of VL in the two aliquots were then
determined by 1H NMR, followed by the isolation of PVL and characterization by GPC. Example ring-opening polymerization of L-Lactide. A first 7 mL vial was charged with
TCC (15.8 mg, 0.05 mmol), Me6TREN (13.4 μL, 0.05 mmol) and benzyl alcohol (1.0 μL,
0.01 mmol). A second 7 mL vial was charged with L-LA (144.1 mg, 1 mmol) and acetone-
d6 (1000 μL). The contents of the second vial were added to the first vial, and the resulting
mixture was vigorously shaken until homogenous. The reaction mixture was transferred
to an NMR tube via pipette, and the reaction progress was monitored by 1H NMR. The
reaction was quenched with benzoic acid (0.1 mmol). The reaction mixture was removed
of volatiles under reduced pressure, dissolved in minimal dichloromethane, and the
polylactide (PLA) was precipitated with the addition of hexanes. The supernatant was
decanted, and the precipitate was subjected to high vacuum to remove volatiles. Example binding experiment. For the titration of 1-O with CL, stock solutions of 1-O
and CL were prepared in benzene-d6. Into several NMR tubes, varying amounts of each
solution were added to each tube along with neat benzene-d6 such that the final volume of
each sample was 0.4 mL. The final concentrations were [1-O] = 0.005M and 0.25M <
[CL] < 2.25 M. 1H-NMR spectra (referenced to residual benzene-H) were acquired for
each tube at 300 K and the chemical shift of the ortho-protons of 1-O was noted. Binding
constants were determined by the curve fitting method,33-35 and these values match those
determined from the Lineweaver-Burke method.36,37 Binding curves are shown below
(Figures 5.15). 182 Example synthesis of 1-(4-chlorophenyl)-3-phenylurea (mono-CC). A dried Schlenk
flask was charged with 4-chlorophenylisocyanate (598.2 mg, 3.90 mmol) and ~10 mL dried
DCM. Next, aniline (0.36 mL, 3.95 mmol) was added via syringe. Immediately upon
addition of aniline, a white precipitate formed. The reaction mixture was filtered and rinsed
3 times with cold DCM to provide a pure white powder (846.1 mg, 3.43 mmol, 88.1 %
yield). Characterization matches literature;38 NMR spectra below; 13C NMR (CD3OD, 100
MHz): δ = 155.2, 140.3, 139.5, 129.5, 129.4, 128.5, 124.0, 121.6, 120.5. Example synthesis of 1-(3,4-dichlorophenyl)-3-phenylurea (di-CC). A dried Schlenk flask was charged with 3,4-dichlorophenylisocyanate (731.8 mg, 3.89 mmol) and ~10 mL
dried DCM. Next, aniline (0.36 mL, 3.95 mmol) was added via syringe. Immediately
upon addition of aniline a white precipitate formed. The reaction mixture was filtered and
rinsed 3 times with cold DCM to provide a pure white powder (1.01 g, 3.59 mmol, 92.7 %
yield). Characterization matches literature;39 NMR spectra below; 13C NMR (CD3OD, 100
MHz): δ = 154.87, 140.81, 140.16, 133.32, 131.48, 129.89, 126.14, 124.12, 121.39, 120.53,
119.60. 183 RESULTS AND DISCUSSION H-bond mediated ring-opening polymerization (ROP) has attracted interest due to the
highly controlled nature of these transformations.1−4 These mild, highly functional group
tolerant catalysts, especially the bimolecular systems consisting of a (thio)urea H-bond
donor plus H-bond accepting base, have facilitated the construction of precise polymer
architectures, multiblocks, and well-defined systems.3,5−8 Targeted efforts by several
groups toward rate-accelerated, H-bond mediated ROP seek to address a critical
shortcoming of the field: low activity.9−12 For example, our group has recently disclosed
the utility of urea H-bond donors for rate accelerated ROP;13 thiourea H-bond donors have
been used in organocatalytic ROP for more than a decade, but are less active.3 Another
barrier to the wide implementation of this chemistry is the paucity of commercially
available H-bond donors. Most (thio)urea catalysts are synthesized via a “click” reaction
of an appropriate amine and iso(thio)cyanate.3,14,15 While simple, this stands in contrast to
the wide array of readily available H-bond accepting base cocatalysts and adds a synthetic
step prior to conducting polymerization chemistry. Certainly, the ready availability of
chemical reagents and catalysts facilitates the wide implementation of chemical
transformations. In this context, the antibacterial compound, triclocarban (TCC, Figure
5.1), recently banned as a hand soap additive by the FDA, captured our attention.16 It is an
electron-deficient biaryl urea, similar to the slate of urea and multiurea H-bond donating
catalysts that we recently showed to be highly active for ROP.13 While TCC has attracted
considerable scientific interest as an antibacterial compound, possible bioaccumulate, and
possible environmental toxin, we believe that this readily available compound has not H-bond mediated ring-opening polymerization (ROP) has attracted interest due to the
highly controlled nature of these transformations.1−4 These mild, highly functional group
tolerant catalysts, especially the bimolecular systems consisting of a (thio)urea H-bond
donor plus H-bond accepting base, have facilitated the construction of precise polymer
architectures, multiblocks, and well-defined systems.3,5−8 Targeted efforts by several
groups toward rate-accelerated, H-bond mediated ROP seek to address a critical
shortcoming of the field: low activity.9−12 For example, our group has recently disclosed
the utility of urea H-bond donors for rate accelerated ROP;13 thiourea H-bond donors have
been used in organocatalytic ROP for more than a decade, but are less active.3 Another
barrier to the wide implementation of this chemistry is the paucity of commercially
available H-bond donors. RESULTS AND DISCUSSION Most (thio)urea catalysts are synthesized via a “click” reaction
of an appropriate amine and iso(thio)cyanate.3,14,15 While simple, this stands in contrast to
the wide array of readily available H-bond accepting base cocatalysts and adds a synthetic
step prior to conducting polymerization chemistry. Certainly, the ready availability of
chemical reagents and catalysts facilitates the wide implementation of chemical
transformations. In this context, the antibacterial compound, triclocarban (TCC, Figure
5.1), recently banned as a hand soap additive by the FDA, captured our attention.16 It is an
electron-deficient biaryl urea, similar to the slate of urea and multiurea H-bond donating
catalysts that we recently showed to be highly active for ROP.13 While TCC has attracted
considerable scientific interest as an antibacterial compound, possible bioaccumulate, and
possible environmental toxin, we believe that this readily available compound has not 184 previously been employed as a catalyst.17−19 The efficacy of TCC/amidine base
combinations for the ROP of lactone monomers was evaluated, Table 5.1. All reactions
were conducted in C6D6 and conversion monitored by 1H NMR. The guanidine base,
MTBD, exhibited faster rates than the imine base, DBU, and it was used for further
experimentation. The ROP of δ-valerolactone (VL) from benzyl alcohol is highly
controlled, exhibiting the characteristics of a living polymerization: linear evolution of Mn
vs conversion, first order consumption of monomer and Mn predictable from [M]0 /[I]0,
(Figures 5.2 and 4.3). This behavior is typical among organocatalysts for ROP. Initiation of a VL (1.0 mmol) ROP catalyzed by TCC/MTBD (0.05 mmol each) from 1-
pyrenebutanol (0.02 mmol) and subsequent addition of a second monomer portion (1.0
mmol) exhibits overlapping UV and refractive index traces in the gel permeation
chromatogram (GPC) of the resulting polymer (Figure 5.4), suggesting end group fidelity
and a chain end that is susceptible to chain-extension. The TCC/MTBD (5 mol %)
cocatalysts are also effective for the ROP of ε-caprolactone (CL), producing a similarly
well-behaved ROP. The ROP rates exhibited by TCC/MTBD represent a significant
advance over those exhibited by 1-S/MTBD, yet the reactions remain highly controlled. By comparison, for [M]0/[I]0 = 50 from benzyl alcohol in C6D6, the 1-S/MTBD-catalyzed
ROPs of VL and CL achieve full conversion in 110 min and 45 h, respectively (c.f. Table
5.1).13 Entry 2 (Table 5.1) was attempted on a 200 mg scale, producing nearly identical
polyvalerolactone (24 min, 90% conv, Mn = 18100, Mw/Mn = 1.04), which suggests that
scale-up is feasible. RESULTS AND DISCUSSION We have embarked on a research program aimed at mitigating the low activity of H-bond
mediated transformations without sacrificing the precise control typical of these catalysts. 185 In this vein, electron deficient aryl ureas have proved to be particularly efficacious; our lab
previously disclosed the rapid rates exhibited by mono-, bis-, and tris-urea H-bond donors
for the ROP of lactones.13 In general, urea H-bond donors are more active for ROP than
their corresponding thioureas. This trend extends to the urea anions which, besides being
remarkably active and controlled catalysts for ROP, are much more active than the
corresponding thiourea anions.10,12 The uncharged H-bond donor 3-O, in combination with
MTBD (0.017 mmol each), effects the ROP of VL (1.0 mmol) from benzyl alcohol (0.02
mmol) in C6D6 in 3 min.13 While the analogous reaction with TCC/MTBD (0.05 mmol
each) achieves full conversion in a slower 14 min, the commercial availability of the TCC
catalyst is expected to be a boon to the wider application of this and similar systems. Additionally, the TCC/MTBD cocatalysts exhibit high selectivity for monomer (vs
polymer). When a fully converted PVL reaction solution remains unquenched, the Mn and
Mw/Mn are minimally altered over an hour: 20 min, Mn = 22300, Mw/Mn = 1.02; 60 min,
Mn = 23900, Mw/Mn = 1.03 (c.f. Table 5.1, entry 2), which may constitute an advantage
versus other highly active systems for ROP.10,12-13 In this vein, electron deficient aryl ureas have proved to be particularly efficacious; our lab
previously disclosed the rapid rates exhibited by mono-, bis-, and tris-urea H-bond donors
for the ROP of lactones.13 In general, urea H-bond donors are more active for ROP than
their corresponding thioureas. This trend extends to the urea anions which, besides being
remarkably active and controlled catalysts for ROP, are much more active than the
corresponding thiourea anions.10,12 The uncharged H-bond donor 3-O, in combination with MTBD (0.017 mmol each), effects the ROP of VL (1.0 mmol) from benzyl alcohol (0.02
mmol) in C6D6 in 3 min.13 While the analogous reaction with TCC/MTBD (0.05 mmol
each) achieves full conversion in a slower 14 min, the commercial availability of the TCC
catalyst is expected to be a boon to the wider application of this and similar systems. Additionally, the TCC/MTBD cocatalysts exhibit high selectivity for monomer (vs
polymer). RESULTS AND DISCUSSION When a fully converted PVL reaction solution remains unquenched, the Mn and
Mw/Mn are minimally altered over an hour: 20 min, Mn = 22300, Mw/Mn = 1.02; 60 min,
Mn = 23900, Mw/Mn = 1.03 (c.f. Table 5.1, entry 2), which may constitute an advantage
versus other highly active systems for ROP.10,12-13 Urea H-bond donors remain active in polar, H-bond accepting solvent. A long-standing
limitation of H-bond mediated catalysis is the often narrow window of nonpolar solvents
in which these catalysts are operable.20,21 We had previously observed that the urea H-
bond donor 3-O remains active in THF and hypothesized that TCC would exhibit similar
behavior, and a solvent screen was conducted for the TCC/MTBD catalyzed ROP of VL
(Table 5.4). In DMF, the reaction time is extremely attenuated, and the reaction does not
achieve >83% conversion. In THF, the ROP remains highly active (90% conv in 30 min),
but Mw/Mn (=1.23) broadens. The result in acetone is surprising in that the reaction rate 186 does not slow versus C6D6, and the Mw/Mn remains narrow, Table 5.2. The ROP rates for
all thiourea H-bond donors drop considerably versus their rates in C6D6,13 Table 5.2. The
TCC/MTBD catalyzed ROP of VL in acetone-d6 remains controlled and exhibits the
characteristics of a “living” polymerization (Figures 5.7 and 4.8). The polymer samples
resulting from the initiation of a VL (1.0 mmol, 2 M) ROP from 1-pyrenebutanol (0.02
mmol) catalyzed by TCC/MTBD (0.05 mmol each) and subsequent chain extension show
overlapping UV and RI traces in the GPC (Figure 5.9), which suggests end-group fidelity
and that there is no initiation from the enol form of acetone-d6. When TCC and Me6TREN cocatalysts (5 mol % each) are applied for the ROP of
L-lactide (1.0 mmol) from benzyl alcohol (0.01 mmol) in acetone-d6, the ROP reaction
exhibits “living” behavior (Figures 5.12 and 5.13). In contrast to the ROP of VL, CL, or
carbonate monomers, mild base cocatalysts are required for the ROP of lactide.21−24 The
poly(lactide) was isolated and analyzed by selectively decoupled 1H NMR, revealing the
polylactide (PLA) to be ∼ 90% isotactic (Figure 5.17), which suggests minor
epimerization. The MALDITOF analysis of the same PLA sample shows the presence of
± 72 m/z repeat units, indicating that postpolymerization transesterification is occurring to
a minor extent. RESULTS AND DISCUSSION This latter observation is in contrast to 2-S H-bond donating catalyst, which
effects the ROP of LA in the virtual absence of postpolymerization transesterifiation.23 H-bond donating biaryl ureas were synthesized and applied in catalytic ROP to determine
the origin of the enhanced rates of TCC (vs 1-O). These catalysts, here dubbed
monoclocarban (mono-CC)25,26 and diclocarban (di-CC)26 in Figure 5.1, were applied to
the ROP of VL in C6D6; we believe these molecules have not previously been used as
catalysts. The TCC/MTBD (5 mol % each) cocatalyzed ROP of VL (1.0 mmol, 2 M) from 187 benzyl alcohol (0.01 mmol) in C6D6 reaches 91% conversion in 22 min (Table 5.1). The
H-bond donors di-CC or mono-CC plus MTBD (5 mol % each) exhibit similar activity to
TCC, but di-CC is the most active of the three H-bond donors (88% conversion in 15 min
for di-CC and 37 min for mono-CC). The ROP of VL catalyzed by di-CC/MTBD exhibits
the characteristics of a “living” polymerization (Figure 5.18). The similar rates exhibited
by TCC and di-CC toward ROP may suggest that the additional chlorine atom in TCC (vs
di-CC) is not essential for catalysis or that the additional electron withdrawing effects from
the “extra” chlorine atom in TCC versus di-CC are inhibitory to catalysis. The latter
possibility recalls similar effects that have been observed for extremely electron deficient
thioureas,27,28 and these observations suggest that the augmented activity of the biaryl TCC
(vs 1-O) can be approximated by functionalization at a single aryl ring. Certainly, the
increased efficacy of TCC (vs 1-O) for ROP calls into question the primacy of the
bis(trifluoromethyl)aryl group, at least for urea H-bond donors.27 While the commercial
availability of TCC may be a boon to the application of H-bond mediated transformations
in polymer synthesis laboratories, we expect that the development of advanced catalysts
architectures will benefit from the more synthetically modular catalyst scaffold of di-CC. The enhanced efficacy of TCC and all urea H-bond donors in C6D6 could be attributed to
the stronger binding of ureas vs thioureas to monomer.20 The limited solubility of TCC
and n-O in nonpolar solvent in the absence of base cocatalyst limits the extent to which we
can quantitatively probe this hypothesis by measuring binding constants to monomer. RESULTS AND DISCUSSION For The enhanced efficacy of TCC and all urea H-bond donors in C6D6 could be attributed to
the stronger binding of ureas vs thioureas to monomer.20 The limited solubility of TCC
and n-O in nonpolar solvent in the absence of base cocatalyst limits the extent to which we
can quantitatively probe this hypothesis by measuring binding constants to monomer. For
example, TCC is insoluble in benzene in the absence of H-bond acceptor, and binding
constants for this compound could not be measured. However, the binding constants of 1-
O and 1-S to CL were independently measured in C6D6 and are consistent with the long- 188 held hypothesis: for 1-O, Keq = 41 ± 1 (300 K) and for 1-S, Keq = 28 ± 1 (300 K).24
However, a binding constant rationale cannot be used to explain the ROP activity observed
in acetone. As expected, when the 1-O/monomer binding study is repeated in acetone-d6,
there is no observed change in chemical shift of 1-O up to ∼ 1000 equiv of monomer,
which suggests very weak (Keq ∼ 1) or no binding in acetone-d6. While we have previously
observed 1-S to exhibit a marked effect on a ROP reaction in the near absence of binding
to monomer,29,30 these questions collectively reinforce a recently proposed mechanism.12
While this study was ongoing, “hyperactive” urea anions for ROP, generated by the action
of alkoxides upon aryl and alkyl ureas, were disclosed; these systems are incredibly active
yet controlled, exhibiting rates that rival traditional metal-based systems.12 The proposed
mechanism of action whereby an active urea anion catalyst is generated by the
deprotonation of a urea by alkoxide is distinct from traditional H-bond mediated ROP by
neutral catalysts, and we sought to investigate the feasibility of this mechanism for
TCC/imine bases. As opposed to the quantitative deprotonation of TCC by potassium
methoxide, one could envisage an equilibrium established between urea plus base and the
corresponding salt, eq 1. 1H NMR spectra in acetone-d6 of TCC and TCC plus MTBD or
DBU (5 mM each species) show an upfield shift of the TCC resonances upon treatment
with base that would be associated with the formation of an anionic character at the urea
(Figure 5.21). RESULTS AND DISCUSSION Repeating this experiment with highly basic BEMP (Figure 5.1, BEMP-H+
pKaMeCN = 27.6)31 establishes a pattern of increased upfield shift with increasing
pKa (MTBD-H+ pKaMeCN = 25.4; DBU-H+ pKaMeCN = 24.3).32 Repeating the TCC/BEMP
1H NMR experiment with a deficient amount of BEMP (2.5 mM) shows only one set of held hypothesis: for 1-O, Keq = 41 ± 1 (300 K) and for 1-S, Keq = 28 ± 1 (300 K).24
However, a binding constant rationale cannot be used to explain the ROP activity observed
in acetone. As expected, when the 1-O/monomer binding study is repeated in acetone-d6,
there is no observed change in chemical shift of 1-O up to ∼ 1000 equiv of monomer,
which suggests very weak (Keq ∼ 1) or no binding in acetone-d6. While we have previously
observed 1-S to exhibit a marked effect on a ROP reaction in the near absence of binding
to monomer,29,30 these questions collectively reinforce a recently proposed mechanism.12 189 resonances for TCC, suggesting that the equilibrium in eq 1 is dynamic on the 1H NMR
time scale. The 1H NMR experiments suggest that TCC/BEMP would be the most imidate-like species
(i.e., eq 1 further to the right) and presumably the most active TCC/organic base catalyst
pair yet examined herein. Indeed, the BEMP/TCC (0.05 mmol) catalyzed ROP of VL (1
M, 1 mmol) from benzyl alcohol (0.01 mmol) in benzene achieves full conversion in 3 min
(Table 5.3). Higher reaction concentrations can be employed, but the reaction becomes
difficult to monitor, fully converting within seconds at 2 M VL. The same ROP of VL
fails to reach full conversion in THF or acetone-d6 within 30 min. In C6D6, the ROP is
highly controlled and exhibits the characteristics of a “living” polymerization (Figure
5.10), and the [M]0/[I]0 series (Table 5.3) is notable for the high predictability of Mn even
when considered against other organocatalytic systems. Further, Mw/Mn broadens slowly
postpolymerization (Table 5.3, entry 2: 3 min, Mn = 22400, Mw/Mn = 1.04; 6 min, Mn =
24100, Mw/Mn = 1.07; 15 min, Mn = 24700, Mw/Mn = 1.15; 90% conv. for all aliquots). TCC/BEMP is ineffective for the ROP of β-butyrolactone, consistent with other urea and
thiourea H-bond donors.13,20 We propose that the TCC/base cocatalyzed ROP of ester monomers proceeds through a
mixed mechanism where the identity of the dominate catalyst largely depends on the pKa
of the cocatalysts. RESULTS AND DISCUSSION The 1H NMR spectrum of TCC plus Me6TREN shows very slight
downfield shift of the TCC resonances and broadening of the N−H resonances which could
be attributed to H-bonding; there is no evidence to suggest the formation of imidate
character at the urea for this cocatalyst pair (c.f. TCC/BEMP, Figure 5.21). Accordingly,
we propose that TCC/base cocatalyzed ROP is capable of effecting ROP through a classic 190 dual H-bond mechanism mediated by neutral catalysts or an imidate mediated mechanism,
the primary determination of which mode is dominate rests with the pKa of the base. In
the case of TCC plus Me6TREN, we proposed a primarily neutral catalyst mechanism
versus BEMP, which may proceed primarily through an imidate mechanism, Scheme 5.1. Certainly, the rate of the TCC/BEMP ROP recalls that of the alkoxide-generated urea
anions.12 This mechanistic proposal is an extension of the recent work with “hyperactive”
urea anion catalysts for ROP, taking into account weakly basic cocatalysts.12 For the
present system, it is unclear if the conjugate acid of the base serves as a H-bond donor or
primarily serves to deprotonate the urea. The complicated and sensitive interplay of
cocatalyst/reagent interactions requires more study to be thoroughly understood. 191 CONCLUSION The antibacterial TCC has been shown to be a highly-effective cocatalyst for ring-
opening polymerization. The commercially available H-bond donor, when applied with an
H-bond accepting base cocatalyst, is among the most active organic catalysts for the ROP
of esters, yet it exhibits the characteristics of a ‘living’ polymerization, producing well-
defined polymers. The activity of this catalyst can be approximated by other mono- and
di-chloro biaryl urea H-bond donor(s), which adds synthetic flexibility for the generation
of future H-bond donating ureas. We suspect that the ROP of lactone monomers is just one
application that can offer new roles to old reagents, in this case the antibacterial compound
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Kaljurand, I.; Kütt, A.; Sooväli, L.; Rodima, T.; Mäemets, V.; Leito, I.; Koppel, I. A. Extension of the Self-Consistent Spectrophotometric Basicity Scale in
Acetonitrile to a Full Span of 28 pKa Units: Unification of Different Basicity Scales. J. Org. Chem. 2005, 70, 1019−1028. (33)
Webb, J. E. A.; Crossley, M. J.; Turner, P.; Thordarson, P. Pyromellitamide
Aggregates and Their Response to Anion Stimuli. J. Am. Chem. Soc. 2007, 129,
7155. (34)
Thordarson, P. Determining association constants from titration experiments in
supramolecular chemistry. Chem. Soc. Rev. 2011, 40, 1305. (35)
Deranleau, D. A. Theory of the measurement of weak molecular complexes. II. Consequences of multiple equilibria. J. Am. Chem. Soc. 1969, 91, 4044. 197 (36)
Horman, I.; Dreux, B. Estimation of association constants of bimolecular
complexes. Reply to comments. Anal. Chem. 1983, 55, 1219. (37)
Peters, S. J.; Stevenson, C. D. The Complexation of Na+ by 18-crown -6 studied
via nuclear magnetic resonance. J. Chem. Educ. 2004, 81, 715. (38)
Lee, H-G.; Kim, M-J.; Park, S-E.; Kin, J-J.; Kim, B. R.; Lee, S-G.; Yoon, Y-J. LIST OF REFERENCES Phenyl 4,5-dichloro-6-oxopyridazine-1(6H)-carboxylate as carbonyl source: facile
and selective synthesis of carbamates and ureas under mild conditions. Synlett
2009, 17, 2809. (39)
Khan, K. M.; Saeed, S.; Ali, M.; Gohar, M.; Zahid, J.; Khan, A.; Perveen, S.;
Choudhary, M. I. Unsymmetrically disubstituted urea derivatives: A potent class of
antiglycating agents. Bioorg. Med. Chem. 2009, 17, 2447. (39) 198 entry
mon. [M]o/[I]o
time (min) conv.a (%)
Mnb (g/mol)
Mw/Mnb
1d
VL
100
81
90
18 900
1.06
2
100
22
91
19 900
1.05
3
50
14
90
8 500
1.08
4
200
46
90
35 900
1.09
5
500
125
90
72 900
1.02
6
CL
100
132
90
21 200
1.06 Table 5.1. MTBD and TCC Catalyzed ROP of VL and CL. Reaction conditions: VL or CL
(1.0 mmol, 1 equiv, 2M), benzyl alcohol, C6D6. a) monomer conversion was monitored via
1H NMR. b) Mn and Mw/Mn were determined by GPC (CH2Cl2) vs polystyrene standards. d) DBU (5 mol%, 0.05 mmol) cocatalyst was employed (no MTBD). Table 5.1. MTBD and TCC Catalyzed ROP of VL and CL. Reaction conditions: VL or CL
(1.0 mmol, 1 equiv, 2M), benzyl alcohol, C6D6. a) monomer conversion was monitored via
1H NMR. b) Mn and Mw/Mn were determined by GPC (CH2Cl2) vs polystyrene standards. d) DBU (5 mol%, 0.05 mmol) cocatalyst was employed (no MTBD). 199 Table 5.2. Urea or Thiourea Plus MTBD Cocatalyzed ROP of VL in Acetone. Reaction
conditions: VL (1.0 mmol, 1 equiv, 2M), benzyl alcohol (2 mol%), and MTBD (same
mol% as U/TU), acetone-d6. a) monomer conversion was monitored via 1H NMR. b) Mn
and Mw/Mn were determined by GPC (CH2Cl2) vs polystyrene standards. Table 5.2. Urea or Thiourea Plus MTBD Cocatalyzed ROP of VL in Acetone. Reaction
conditions: VL (1.0 mmol, 1 equiv, 2M), benzyl alcohol (2 mol%), and MTBD (same
mol% as U/TU), acetone-d6. a) monomer conversion was monitored via 1H NMR. b) Mn
and Mw/Mn were determined by GPC (CH2Cl2) vs polystyrene standards. Table 5.3. Triclocarban Plus BEMP Cocatalyzed ROP of VL and CL. Reaction conditions:
VL or CL (1.0 mmol, 1 equiv, 1M), benzyl alcohol, C6D6. a) monomer conversion was
monitored via 1H NMR. b) Mn and Mw/Mn were determined by GPC (CH2Cl2) vs
polystyrene standards. d) CL (1.0 mmol, 1 equiv, 2M). LIST OF REFERENCES entry
TU or U (mol%) time (min) conv.a (%) Mnb (g/mol)
Mw/Mnb
1
TCC (5%)
13
89
10 000
1.09
2
1-S (5%)
1200
89
9 500
1.21
3
1-O (5%)
60
91
11 900
1.08
4
2-S (2.5%)
1020
90
11 400
1.28
5
2-O (2.5%)
20
90
10 800
1.15
6
3-S (1.7%)
7440
89
12 100
1.16
7
3-O (1.7%)
20
89
10 300
1.13 entry
TU or U (mol%) time (min) conv.a (%) Mnb (g/mol)
Mw/Mnb
1
TCC (5%)
13
89
10 000
1.09
2
1-S (5%)
1200
89
9 500
1.21
3
1-O (5%)
60
91
11 900
1.08
4
2-S (2.5%)
1020
90
11 400
1.28
5
2-O (2.5%)
20
90
10 800
1.15
6
3-S (1.7%)
7440
89
12 100
1.16
7
3-O (1.7%)
20
89
10 300
1.13 Table 5.2. Urea or Thiourea Plus MTBD Cocatalyzed ROP of VL in Acetone. Reaction
conditions: VL (1.0 mmol, 1 equiv, 2M), benzyl alcohol (2 mol%), and MTBD (same
mol% as U/TU), acetone-d6. a) monomer conversion was monitored via 1H NMR. b) Mn
and Mw/Mn were determined by GPC (CH2Cl2) vs polystyrene standards. Table 5.2. Urea or Thiourea Plus MTBD Cocatalyzed ROP of VL in Acetone. Reaction
conditions: VL (1.0 mmol, 1 equiv, 2M), benzyl alcohol (2 mol%), and MTBD (same
mol% as U/TU), acetone-d6. a) monomer conversion was monitored via 1H NMR. b) Mn
and Mw/Mn were determined by GPC (CH2Cl2) vs polystyrene standards. 200 entry
mon. [M]o/[I]o
time (min)
conv.a
(%)
Mnb (g/mol) Mw/Mnb
1
VL
50
1
87
11 900
1.04
2
100
3
90
22 400
1.04
3
200
6
90
47 900
1.06
4
500
10
90
108 800
1.05
5d
CL
100
6
90
16 500
1.04 Table 5.3. Triclocarban Plus BEMP Cocatalyzed ROP of VL and CL. Reaction conditions:
VL or CL (1.0 mmol, 1 equiv, 1M), benzyl alcohol, C6D6. a) monomer conversion was
monitored via 1H NMR. b) Mn and Mw/Mn were determined by GPC (CH2Cl2) vs
polystyrene standards. d) CL (1.0 mmol, 1 equiv, 2M). Table 5.3. Triclocarban Plus BEMP Cocatalyzed ROP of VL and CL. Reaction conditions:
VL or CL (1.0 mmol, 1 equiv, 1M), benzyl alcohol, C6D6. a) monomer conversion was
monitored via 1H NMR. b) Mn and Mw/Mn were determined by GPC (CH2Cl2) vs
polystyrene standards. d) CL (1.0 mmol, 1 equiv, 2M). 201 Entry
urea
[M]o/[I]o time
(min)
conv. LIST OF REFERENCES (%)a
Mnb
Mw/Mnb
1
TCC
50
14
90
8500
1.08
2
100
22
91
19900
1.05
3
200
46
90
35900
1.0
4
500
125
90
72900
1.02
5
di-CC
50
15
88
6000
1.04
6
100
20
89
12000
1.04
7
200
78
94
25000
1.03
8
500
180
89
64000
1.06 Entry
urea
[M]o/[I]o time
(min)
conv. (%)a
Mnb
Mw/Mnb
1
TCC
50
14
90
8500
1.08
2
100
22
91
19900
1.05
3
200
46
90
35900
1.0
4
500
125
90
72900
1.02
5
di-CC
50
15
88
6000
1.04
6
100
20
89
12000
1.04
7
200
78
94
25000
1.03
8
500
180
89
64000
1.06 le 5.4. Chain Length Variation for the TCC or di-CC plus MTBD cocatalyzed ROP a) Conversion determined by 1H NMR. b) Mn and Mw were obtained by GPC. Entry
Solvent
time
(min)
conv. (%)a
Mnb
Mw/Mnb
1
benzene-d6
22
91
19,900
1.06
2
acetone-d6
22
89
19,400
1.11
3
chloroform-d
273
89
19,100
1.08
4
THF
30
89
14,700
1.23
5
DMF
600
83
9,000
1.41
Table 5.5. Solvent Screen of TCC/MTBD cocatalyzed ROP of VL. a) Conversion
determined by 1H NMR. b) Mn and Mw were obtained by GPC. Entry
Solvent
time
(min)
conv. (%)a
Mnb
Mw/Mnb
1
benzene-d6
22
91
19,900
1.06
2
acetone-d6
22
89
19,400
1.11
3
chloroform-d
273
89
19,100
1.08
4
THF
30
89
14,700
1.23
5
DMF
600
83
9,000
1.41
Table 5.5. Solvent Screen of TCC/MTBD cocatalyzed ROP of VL. a) Conversion
determined by 1H NMR. b) Mn and Mw were obtained by GPC. Entry
Solvent
time
(min)
conv. (%)a
Mnb
Mw/Mnb
1
benzene-d6
22
91
19,900
1.06
2
acetone-d6
22
89
19,400
1.11
3
chloroform-d
273
89
19,100
1.08
4
THF
30
89
14,700
1.23
5
DMF
600
83
9,000
1.41 Entry
Solvent
time
(min)
conv. (%)a
Mnb
Mw/Mnb
1
benzene-d6
22
91
19,900
1.06
2
acetone-d6
22
89
19,400
1.11
3
chloroform-d
273
89
19,100
1.08
4
THF
30
89
14,700
1.23
5
DMF
600
83
9,000
1.41 Table 5.5. Solvent Screen of TCC/MTBD cocatalyzed ROP of VL. a) Conversion
determined by 1H NMR. b) Mn and Mw were obtained by GPC. Table 5.5. Solvent Screen of TCC/MTBD cocatalyzed ROP of VL. a) Conversion
determined by 1H NMR. b) Mn and Mw were obtained by GPC. 202 Entry
[M]o/[I]o time
(min)
conv. LIST OF REFERENCES (%)a Mnb
Mw/Mnb
1
50
13
88
7400
1.11
2
100
20
88
14100
1.10
3
200
32
89
22600
1.09
4
500
45
89
44700
1.08 Table 5.6. Chain Length Variation for the TCC/MTBD cocatalyzed ROP of VL in acetone-
d6. a) Conversion determined by 1H NMR. b) Mn and Mw were obtained by GPC. Table 5.6. Chain Length Variation for the TCC/MTBD cocatalyzed ROP of VL in acetone-
d6. a) Conversion determined by 1H NMR. b) Mn and Mw were obtained by GPC. d6. a) Conversion determined by 1H NMR. b) Mn and Mw were obtained by GPC. Scheme 5.1. Proposed mechanism for TCC/base cocatalyzed ROP. Scheme 5.1. Proposed mechanism for TCC/base cocatalyzed ROP. 203 Figure 5.1. Base and (thio)urea cocatalysts evaluated for ROP. Figure 5.1. Base and (thio)urea cocatalysts evaluated for ROP. Figure 5.2. First order evolution of VL vs time for the TCC/MTBD catalyzed ring-opening
polymerization of VL. Conditions: VL (2 M, 1 mmol), benzyl alcohol (1mol%, 0.01
mmol), TCC (5mol%, 0.05 mmol), MTBD (5 mol%, 0.05 mmol) in benzene-d6. y = 0.1151x + 0.0498
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
0
2
4
6
8
10
12
14
16
18
ln[VL]o/[VL]
time (min) y = 0.1151x + 0.0498
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
0
2
4
6
8
10
12
14
16
18
ln[VL]o/[VL]
time (min) Figure 5.2. First order evolution of VL vs time for the TCC/MTBD catalyzed ring-opening
polymerization of VL. Conditions: VL (2 M, 1 mmol), benzyl alcohol (1mol%, 0.01
mmol), TCC (5mol%, 0.05 mmol), MTBD (5 mol%, 0.05 mmol) in benzene-d6. 204 Figure 5.3. Mn (blue) and Mw/Mn (orange) vs conversion for the TCC/MTBD catalyzed
ring-opening polymerization of VL. Conditions: VL (2 M, 1 mmol), benzyl alcohol
(1mol%, 0.01 mmol), TCC (5mol%, 0.05 mmol), MTBD (5 mol%, 0.05 mmol) in benzene-
d6. 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
5000
10000
15000
20000
25000
0
20
40
60
80
100
Mw/Mn
Mn, g/mol
Conversion % 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
5000
10000
15000
20000
25000
0
20
40
60
80
100
Mw/Mn
Mn, g/mol
Conversion % Figure 5.3. Mn (blue) and Mw/Mn (orange) vs conversion for the TCC/MTBD catalyzed
ring-opening polymerization of VL. LIST OF REFERENCES Conditions: VL (2 M, 1 mmol), benzyl alcohol
(1mol%, 0.01 mmol), TCC (5mol%, 0.05 mmol), MTBD (5 mol%, 0.05 mmol) in benzene-
d6. Figure 5.3. Mn (blue) and Mw/Mn (orange) vs conversion for the TCC/MTBD catalyzed
ring-opening polymerization of VL. Conditions: VL (2 M, 1 mmol), benzyl alcohol
(1mol%, 0.01 mmol), TCC (5mol%, 0.05 mmol), MTBD (5 mol%, 0.05 mmol) in benzene-
d6. Figure 5.3. Mn (blue) and Mw/Mn (orange) vs conversion for the TCC/MTBD c d6. Figure 5.4. GPC traces of the polymers resulting from the chain extension experiment of
VL. Conditions: VL (2 M, 1mmol), 1-pyrenebutanol (2mol%, 0.02mmol), TCC (5mol%,
0.05 mmol), MTBD (5 mol%, 0.05 mmol) in benzene-d6, and subsequent chain extension
by the addition of VL (1mmol). 18
19
20
21
22
23
Retention time (min)
RI
UV
Chain extended RI
Chain extended UV 18
19
20
21
22
23
Retention time (min)
RI
UV
Chain extended RI
Chain extended UV Retention time (min) Figure 5.4. GPC traces of the polymers resulting from the chain extension experiment of
VL. Conditions: VL (2 M, 1mmol), 1-pyrenebutanol (2mol%, 0.02mmol), TCC (5mol%,
0.05 mmol), MTBD (5 mol%, 0.05 mmol) in benzene-d6, and subsequent chain extension
by the addition of VL (1mmol). 205 Figure 5.5. First order evolution of CL vs time for the TCC/MTBD catalyzed ring-opening
polymerization of CL. Conditions: CL (2 M, 1 mmol), benzyl alcohol (1mol%, 0.01mmol),
TCC (5mol%, 0.04 mmol), MTBD (5 mol%, 0.04 mmol) in benzene-d6. y = 0.0089x + 0.0129
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
0
50
100
150
200
250
300
350
400
ln[CL]o/[CL]
time (min) y = 0.0089x + 0.0129
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
0
50
100
150
200
250
300
350
400
ln[CL]o/[CL]
time (min) Figure 5.5. First order evolution of CL vs time for the TCC/MTBD catalyzed ring-opening
polymerization of CL. Conditions: CL (2 M, 1 mmol), benzyl alcohol (1mol%, 0.01mmol),
TCC (5mol%, 0.04 mmol), MTBD (5 mol%, 0.04 mmol) in benzene-d6. Figure 5.6. Mn (blue) and Mw/Mn (orange) catalyzed ring-opening polymerization of CL. Conditions: CL (2 M, 1mmol), benzyl alcohol (1mol%, 0.01 mmol), TCC (5mol%, 0.04
mmol), MTBD (5 mol%, 0.04 mmol) in benzene-d6. LIST OF REFERENCES 1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2.0
0
5000
10000
15000
20000
25000
0
20
40
60
80
100
MW/Mn
Mn, g/mol
Conversion % 1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2.0
0
5000
10000
15000
20000
25000
0
20
40
60
80
100
MW/Mn
Mn, g/mol
Conversion % Figure 5.6. Mn (blue) and Mw/Mn (orange) catalyzed ring-opening polymerization of CL. Conditions: CL (2 M, 1mmol), benzyl alcohol (1mol%, 0.01 mmol), TCC (5mol%, 0.04
mmol), MTBD (5 mol%, 0.04 mmol) in benzene-d6. 206 Figure 5.7. Approach to equilibrium evolution of [VL] vs time for the TCC/MTBD
catalyzed ring-opening polymerization of VL. Conditions: VL (2.1 M, 2mmol, 1 equiv.),
benzyl alcohol (1mol%, 0.02 mmol), TCC (5mol%, 0.1 mmol), MTBD (5 mol%, 0.1
mmol) in acetone-d6. [VL]eq = 0.22 M
0
0.5
1
1.5
2
2.5
3
3.5
4
0
5
10
15
ln([VL]o-[VL]eq)/([VL]-[VL]eq)
time (min) 0
0.5
1
1.5
2
2.5
3
3.5
4
0
5
10
15
ln([VL]o-[VL]eq)/([VL]-[VL]eq)
time (min) Figure 5.7. Approach to equilibrium evolution of [VL] vs time for the TCC catalyzed ring-opening polymerization of VL. Conditions: VL (2.1 M, 2mmol, 1 equiv.),
benzyl alcohol (1mol%, 0.02 mmol), TCC (5mol%, 0.1 mmol), MTBD (5 mol%, 0.1
mmol) in acetone-d6. [VL]eq = 0.22 M Figure 5.8. Mn (blue) and Mw/Mn (orange) vs conversion for the TCC/MTBD catalyzed
ring-opening polymerization of VL. Conditions: VL (2.1 M, 2 mmol, 1 equiv.), benzyl
alcohol (1 mol. %, 0.02 mmol), TCC (5 mol. %, 0.1 mmol), MTBD (5 mol. %, 0.1 mmol)
in acetone-d6. 1
1.2
1.4
1.6
1.8
2
0
3000
6000
9000
12000
15000
18000
0
20
40
60
80
100
Mw/Mn
Mn, g/mol
conversion % 1
1.2
1.4
1.6
1.8
2
0
3000
6000
9000
12000
15000
18000
0
20
40
60
80
100
Mw/Mn
Mn, g/mol
conversion % Figure 5.8. Mn (blue) and Mw/Mn (orange) vs conversion for the TCC/MTBD catalyzed
ring-opening polymerization of VL. Conditions: VL (2.1 M, 2 mmol, 1 equiv.), benzyl
alcohol (1 mol. %, 0.02 mmol), TCC (5 mol. %, 0.1 mmol), MTBD (5 mol. %, 0.1 mmol)
in acetone-d6. 207 Figure 5.9. GPC traces of the polymers resulting from the chain extension of PVL in
acetone. LIST OF REFERENCES Conditions: VL (2 M, 1 mmol), 1-pyrenebutanol (2 mol%, 0.02mmol), TCC (5
mol%, 0.05 mmol), MTBD (5 mol%, 0.05 mmol) in acetone-d6, and subsequent chain
extension by the addition of VL (1 mmol). 18
19
20
21
22
23
retention time (min)
RI
UV
Chain extended RI
Chain extended UV 18
19
20
21
22
23
retention time (min)
RI
UV
Chain extended RI
Chain extended UV Figure 5.9. GPC traces of the polymers resulting from the chain extension of PVL in
acetone. Conditions: VL (2 M, 1 mmol), 1-pyrenebutanol (2 mol%, 0.02mmol), TCC (5
mol%, 0.05 mmol), MTBD (5 mol%, 0.05 mmol) in acetone-d6, and subsequent chain
extension by the addition of VL (1 mmol). 208 Figure 5.10. Mn (blue) and Mw/Mn (orange) vs conversion for the TCC/BEMP catalyzed
ring-opening polymerization of VL. Conditions: VL (1 M, 1 mmol), benzyl alcohol (1
mol%, 0.01 mmol), TCC (5 mol%, 0.05 mmol), BEMP (5 mol%, 0.05 mmol) in benzene-
d6. 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
5000
10000
15000
20000
25000
0
20
40
60
80
MW/Mn
Mn, g/mol
Conversion % 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
5000
10000
15000
20000
25000
0
20
40
60
80
MW/Mn
Mn, g/mol
Conversion % Figure 5.10. Mn (blue) and Mw/Mn (orange) vs conversion for the TCC/BEMP catalyzed
ring-opening polymerization of VL. Conditions: VL (1 M, 1 mmol), benzyl alcohol (1
mol%, 0.01 mmol), TCC (5 mol%, 0.05 mmol), BEMP (5 mol%, 0.05 mmol) in benzene-
d6 d6. Figure 5.11. GPC traces of the polymers resulting from the chain extension experiment of
VL. Conditions: VL (1 M, 1 mmol), 1-pyrenebutanol (2 mol%, 0.02mmol), TCC (5 mol%,
0.05 mmol), BEMP (5 mol%, 0.05 mmol) in benzene-d6, and subsequent chain extension
by the addition of VL (1 mmol). 17.5
18
18.5
19
19.5
20
20.5
21
21.5
Retention time (min)
RI
UV
Chain extended RI
Chain extended UV 17.5
18
18.5
19
19.5
20
20.5
21
21.5
Retention time (min)
RI
UV
Chain extended RI
Chain extended UV Figure 5.11. GPC traces of the polymers resulting from the chain extension experiment of
VL. Conditions: VL (1 M, 1 mmol), 1-pyrenebutanol (2 mol%, 0.02mmol), TCC (5 mol%,
0.05 mmol), BEMP (5 mol%, 0.05 mmol) in benzene-d6, and subsequent chain extension
by the addition of VL (1 mmol). Figure 5.11. LIST OF REFERENCES GPC traces of the polymers resulting from the chain extension experiment of
VL. Conditions: VL (1 M, 1 mmol), 1-pyrenebutanol (2 mol%, 0.02mmol), TCC (5 mol%,
0.05 mmol), BEMP (5 mol%, 0.05 mmol) in benzene-d6, and subsequent chain extension
by the addition of VL (1 mmol). 209 Figure 5.12. First order evolution of [L-LA] vs time for the TCC/Me6TREN catalyzed ring-
opening polymerization. Conditions: L-LA (1 M, 1 mmol), benzyl alcohol (1 mol %, 0.01
mmol), TCC (5 mol %, 0.05 mmol), Me6TREN (5 mol %, 0.05 mmol) in acetone-d6. 0.0
0.5
1.0
1.5
2.0
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
ln[L-Lac]o/[L-Lac]
time (hr) 0.0
0.5
1.0
1.5
2.0
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
ln[L-Lac]o/[L-Lac]
time (hr) Figure 5.12. First order evolution of [L-LA] vs time for the TCC/Me6TREN catalyzed ring-
opening polymerization. Conditions: L-LA (1 M, 1 mmol), benzyl alcohol (1 mol %, 0.01
mmol), TCC (5 mol %, 0.05 mmol), Me6TREN (5 mol %, 0.05 mmol) in acetone-d6. Figure 5.12. First order evolution of [L-LA] vs time for the TCC/Me6TREN catalyzed ring-
opening polymerization. Conditions: L-LA (1 M, 1 mmol), benzyl alcohol (1 mol %, 0.01
mmol), TCC (5 mol %, 0.05 mmol), Me6TREN (5 mol %, 0.05 mmol) in acetone-d6. 210 Figure 5.13. Mn (blue) and Mw/Mn (orange) vs conversion for the TCC/Me6TREN catalyzed
ring-opening polymerization of L-LA. Conditions: L-LA (1 M, 1 mmol), benzyl alcohol (1
mol. %, 0.01 mmol), TCC (5 mol. %, 0.05 mmol), Me6TREN (5 mol. %, 0.05 mmol) in
acetone-d6. 1
1.2
1.4
1.6
1.8
2
0
5000
10000
15000
20000
25000
30000
0
20
40
60
80
100
Mw/Mn
Mn, g/mol
Conversion, % 1
1.2
1.4
1.6
1.8
2
0
5000
10000
15000
20000
25000
30000
0
20
40
60
80
100
Mw/Mn
Mn, g/mol
Conversion, % Figure 5.13. Mn (blue) and Mw/Mn (orange) vs conversion for the TCC/Me6TREN catalyzed
ring-opening polymerization of L-LA. Conditions: L-LA (1 M, 1 mmol), benzyl alcohol (1
mol. %, 0.01 mmol), TCC (5 mol. %, 0.05 mmol), Me6TREN (5 mol. %, 0.05 mmol) in
acetone-d6. 211 Figure 5.14. MALDI-TOF of the PLLA resulting from TCC/Me6TREN cocatalyzed ROP
of L-lactide. LIST OF REFERENCES The major pattern (blue line) is due to whole repeat units m/z = (Na+ + benzyl
alcohol + n*LA) while the minor pattern (red line) is due to half repeat units generated by
post-polymerization transesterification m/z = (Na+ + benzyl alcohol + (n+1/2)*LA). All
m/z bear a benzyl alcohol initiator. 4884.452
5028.501
4740.410
5316.590
4596.361
5460.631
5604.667
4452.311
5748.697
4308.266
5892.733
4164.214
6036.765
6180.796
4020.161
6324.815
6468.813
3876.084
6756.914
7044.875
0
1000
2000
3000
Intens. [a.u.]
4000
4500
5000
5500
6000
6500
7000
m/z Figure 5.14. MALDI-TOF of the PLLA resulting from TCC/Me6TREN cocataly Figure 5.14. MALDI-TOF of the PLLA resulting from TCC/Me6TREN cocatalyzed ROP
of L-lactide. The major pattern (blue line) is due to whole repeat units m/z = (Na+ + benzyl
alcohol + n*LA) while the minor pattern (red line) is due to half repeat units generated by
post-polymerization transesterification m/z = (Na+ + benzyl alcohol + (n+1/2)*LA). All
m/z bear a benzyl alcohol initiator. 212 Figure 5.15. Titration binding curve for the CL/1-O binding in benzene-d6. Chemical shift
8.160
8.180
8.200
8.220
8.240
8.260
8.280
8.300
8.320
8.340
8.360
0.000
0.050
0.100
0.150
0.200
0.250
0.300
0.350
𝛅, ppm
[CL], M 8.160
8.180
8.200
8.220
8.240
8.260
8.280
8.300
8.320
8.340
8.360
0.000
0.050
0.100
0.150
0.200
0.250
0.300
0.350
𝛅, ppm
[CL], M Figure 5.15. Titration binding curve for the CL/1-O binding in benzene-d6. Chemical shift Figure 5.15. Titration binding curve for the CL/1-O binding in benzene-d6. Chemical shift of the o-phenyl protons vs [CL]; solid line is the fit from the binding equation. Figure 5.16. Titration binding curve for the CL/1-S binding in benzene-d6. Chemical shift
of the o-phenyl protons vs [CL]; solid line is the fit from the binding equation. 7
7.2
7.4
7.6
7.8
8
8.2
8.4
8.6
0.000
0.050
0.100
0.150
0.200
0.250
0.300
0.350
0.400
0.450
𝛅, ppm
[CL], M 7
7.2
7.4
7.6
7.8
8
8.2
8.4
8.6
0.000
0.050
0.100
0.150
0.200
0.250
0.300
0.350
0.400
0.450
𝛅, ppm
[CL], M Figure 5.16. Titration binding curve for the CL/1-S binding in benzene-d6. Chemical shift
of the o-phenyl protons vs [CL]; solid line is the fit from the binding equation. Figure 5.16. Titration binding curve for the CL/1-S binding in benzene-d6. Chemical shift
of the o-phenyl protons vs [CL]; solid line is the fit from the binding equation. Figure 5.16. Titration binding curve for the CL/1-S binding in benzene-d6. LIST OF REFERENCES Chemical shift
of the o-phenyl protons vs [CL]; solid line is the fit from the binding equation. 213 Figure 5.17. Methine region of the methyl-decoupled 1H NMR spectrum of PLLA obtained
via TCC/Me6TREN cocatalyzed ROP of L-LA (500 MHz, 25 °C). 17. Methine region of the methyl-decoupled 1H NMR spectrum of PLLA obtained Figure 5.17. Methine region of the methyl-decoupled 1H NMR spectrum of PLLA obtained
via TCC/Me6TREN cocatalyzed ROP of L-LA (500 MHz, 25 °C). Figure 5.17. Methine region of the methyl-decoupled 1H NMR spectrum of PLLA obtained
via TCC/Me6TREN cocatalyzed ROP of L-LA (500 MHz, 25 °C). g
g
y
p
p
via TCC/Me6TREN cocatalyzed ROP of L-LA (500 MHz, 25 °C). via TCC/Me6TREN cocatalyzed ROP of L-LA (500 MHz, 25 °C). via TCC/Me6TREN cocatalyzed ROP of L-LA (500 MHz, 25 °C). 214 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
0
20
40
60
80
100
Mw/Mn
Mn, g/mol
Conversion % Figure 5.18. (upper) First order evolution of [VL] vs time for the di-CC/MTBD catalyzed
ROP of VL. (lower) The ROP displays a linear evolution of Mn (blue) vs conversion and
narrow Mw/Mn (orange). Conditions: VL (2 M, 1.0 mmol), benzyl alcohol (2.0 mol%,
0 02mmol) di CC (5 0 mol% 0 05 mmol) MTBD (5 mol% 0 05 mmol) in benzene d
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
0
20
40
60
80
100
Mw/Mn
Mn, g/mol
Conversion % 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
0
20
40
60
80
100
Mw/Mn
Mn, g/mol
Conversion % Figure 5.18. (upper) First order evolution of [VL] vs time for the di-CC/MTBD catalyzed
ROP of VL. (lower) The ROP displays a linear evolution of Mn (blue) vs conversion and
narrow Mw/Mn (orange). Conditions: VL (2 M, 1.0 mmol), benzyl alcohol (2.0 mol%,
0.02mmol), di-CC (5.0 mol%, 0.05 mmol), MTBD (5 mol%, 0.05 mmol) in benzene-d6. 215 Figure 5.19. (upper) 1H NMR (CD3OD, 400 MHz) spectrum of mono-CC. (lower) 13C
NMR (CD3OD, 100 MHz) spectrum of mono-CC. Figure 5.19. (upper) 1H NMR (CD3OD, 400 MHz) spectrum of mono-CC. (lower) 13C
NMR (CD3OD, 100 MHz) spectrum of mono-CC. Figure 5.19. LIST OF REFERENCES (upper) 1H NMR (CD3OD, 400 MHz) spectrum of mono-CC. (lower) 13C
NMR (CD3OD, 100 MHz) spectrum of mono-CC. 216 Figure 5.20. (upper) 1H NMR (CD3OD, 400 MHz) spectrum of di-CC. (lower) 13C NM
(CD3OD, 100 MHz) spectrum of di-CC. Figure 5.20. (upper) 1H NMR (CD3OD, 400 MHz) spectrum of di-CC. (lower) 13C NMR
(CD3OD, 100 MHz) spectrum of di-CC. 217 Figure 5.21. Downfield portion of the 1H NMR spectra of TCC plus base ([TCC] = [base]
= 5 mM) in acetone-d6. Figure 5.21. Downfield portion of the 1H NMR spectra of TCC plus base ([TCC] = [base] Figure 5.21. Downfield portion of the 1H NMR spectra of TCC plus base ([TCC] = [base] = 5 mM) in acetone-d6. = 5 mM) in acetone-d6. 218 MANUSCRIPT – VI Published in Macromolecules Published in Macromolecules H-bonding Organocatalysts for the Living, Solvent-free Ring-Opening H-bonding Organocatalysts for the Living, Solvent-free Ring-Opening
Polymerization of Lactones: Towards an All-Lactones, All-Conditions Approach erization of Lactones: Towards an All-Lactones, All-Conditions Approach Jinal U. Pothupitiya, Nayanthara U. Dharmaratne, Terra Marie M. Jouaneh, Kurt V. Fastnacht, Danielle N. Coderre and Matthew K. Kiesewetter
Chemistry, University of Rhode Island, Kingston, RI, USA ABSTRACT The developing urea class of H-bond donors facilitates the solvent-free ROP of
lactones at ambient and elevated temperatures, displaying enhanced rates and control
versus other known organocatalysts for ROP under solvent-free conditions. The ROPs
retain the characteristics of living polymerizations despite solidifying prior to full
conversion, and copolymers can be accessed in a variety of architectures. One-pot block
copolymerizations of lactide and valerolactone, which had previously been inaccessible in
solution phase organocatalytic ROP, can be achieved under these reaction conditions, and
one-pot triblock copolymers are also synthesized. For the ROP of lactide, however,
thioureas remain the more effective H-bond donating class. For all (thio)urea catalysts
under solvent-free conditions and in solution, the more active catalysts are generally more
controlled. A rationale for these observations is proposed. The triclocarban (TCC) plus
base systems are particularly attractive in the context of solvent-free ROP due to their
commercial availability which could facilitate the adoption of these catalysts. 220 EXPERIMENTAL SECTION General Considerations. All chemicals were purchased from Fisher Scientific and used as
received unless stated otherwise. Ethylene Brassylate was purchased from Sigma Aldrich. Benzyl alcohol was distilled from calcium hydride under high vacuum. 1-pyrenebutanol
was purchased from Sigma Aldrich. δ-valerolactone (VL) and ε-caprolactone (CL) were
distilled from calcium hydride under high vacuum. L-Lactide (L-LA) was purchased from
Acros
Organics
and
recrystallized
from
dry
toluene. 7-Methyl-1,5,7-
triazabicyclo[4.4.0]dec-5-ene (MTBD), 1,8-Diazabicyclo(5.4.0)undec-7-ene (DBU) was
purchased from Tokyo Chemical Industry Co. LTD. and 2-tert-butylimino-2-diethylamino-
1,3-dimethylperhydro-1,3,2-diazaphosphorine (BEMP) from Acros Organics. Benzene-d6
and chloroform-d were purchased from Cambridge Isotope Laboratories and distilled from
calcium hydride. Experiments were conducted using pre-dried glassware in an MBRAUN
or INERT stainless steel glovebox under N2 atmosphere. NMR experiments were
conducted on a Bruker Avance III 300 MHz or 400 MHz spectrometer, and 1H decoupled
spectra were acquired on a Varian 500 MHz spectrometer. Gel Permeation
Chromatography (GPC) was performed at 40 °C using HPLC grade dichloromethane
eluent on an Agilent Infinity GPC system equipped with three Agilent PLGel columns 7.5
mm × 300 mm (5 μm, pore sizes: 103, 104, 50 Å). Mn and Mw/Mn were determined versus
polystyrene standards (500 g/mol-3150 kg/mol, Polymer Laboratories). DSC experiments
were conducted using a Shimadzu DSC-60A instrument, calibrated with an indium
standard using aluminum pans under inert conditions. General Considerations. All chemicals were purchased from Fisher Scientific and used as
received unless stated otherwise. Ethylene Brassylate was purchased from Sigma Aldrich. Benzyl alcohol was distilled from calcium hydride under high vacuum. 1-pyrenebutanol
was purchased from Sigma Aldrich. δ-valerolactone (VL) and ε-caprolactone (CL) were
distilled from calcium hydride under high vacuum. L-Lactide (L-LA) was purchased from
Acros
Organics
and
recrystallized
from
dry
toluene. 7-Methyl-1,5,7-
triazabicyclo[4.4.0]dec-5-ene (MTBD), 1,8-Diazabicyclo(5.4.0)undec-7-ene (DBU) was
purchased from Tokyo Chemical Industry Co. LTD. and 2-tert-butylimino-2-diethylamino-
1,3-dimethylperhydro-1,3,2-diazaphosphorine (BEMP) from Acros Organics. Benzene-d6
and chloroform-d were purchased from Cambridge Isotope Laboratories and distilled from
calcium hydride. Experiments were conducted using pre-dried glassware in an MBRAUN
or INERT stainless steel glovebox under N2 atmosphere. NMR experiments were
conducted on a Bruker Avance III 300 MHz or 400 MHz spectrometer, and 1H decoupled
spectra were acquired on a Varian 500 MHz spectrometer. Gel Permeation
Chromatography (GPC) was performed at 40 °C using HPLC grade dichloromethane
eluent on an Agilent Infinity GPC system equipped with three Agilent PLGel columns 7.5
mm × 300 mm (5 μm, pore sizes: 103, 104, 50 Å). INTRODUCTION Conducting ring-opening polymerization under solvent-free conditions is an
appealing strategy from several perspectives. Such situations include industrial
polymerizations,1 ‘green’ processes2 and other applications where use and disposal of
solvent is of concern as well as the ROP of macrolactones and other monomers with high
equilibrium monomer concentration [M]eq where neat conditions are suggested by reaction
thermodynamics.3–5 The H-bonding class of organocatalysts – consisting of urea or
thiourea plus base – stand out among the controlled methods for ROP in their precise
control for polymerization over transesterification,6,7 but they have not been widely applied
to solvent-free ROP. These catalysts have facilitated the construction of highly tailored
polymers including highly functionalized monomer feeds.8–13 Thiourea/base systems are
widely viewed as operating through an H-bond mediated pathway whereby thiourea H-
bond activates monomer and base cocatalyst activates the initiating/propagating chain end,
Scheme 6.1.12–14 Nascent urea/base systems are believed to effect their highly active ROP
via an imidate mediated mechanism that is more analogous to that of the guanidine
organocatalyst 1,5,7-triazabicyclodec-5-ene (TBD) than their heavy chalcogen
counterparts, Scheme 6.1.15–17 Among the larger pantheon of organic catalysts, TBD,
which can operate via an H-bond mediated mechanism,18–20 has become popular for
solvent-free ROP of strained and macrolactones,20–22 and certainly, metal-containing23 and
enzymatic catalysts24–26 are often used under solvent free conditions. The amidine
organocatalyst, 1,8-diazabicycloundec-7-ene (DBU), has also been applied for the ROP of
lactide in eutectic monomer blends.27 Regardless, (thio)urea systems have not been applied 221 in solvent free conditions because, ironically, highly polar lactone monomers are poor
solvents for the H-bond ROP mediated by thioureas.13,28 However, several urea/base
cocatalysts have been recently shown to be effective in polar solvent,16,17 which led us to
speculate that these systems may remain active under solvent-free conditions. The
triclocarban (TCC)17,29 plus base systems seemed particularly attractive in this context due
to their commercial availability which could facilitate wider adoption by the polymer
community. in solvent free conditions because, ironically, highly polar lactone monomers are poor
solvents for the H-bond ROP mediated by thioureas.13,28 However, several urea/base
cocatalysts have been recently shown to be effective in polar solvent,16,17 which led us to
speculate that these systems may remain active under solvent-free conditions. The
triclocarban (TCC)17,29 plus base systems seemed particularly attractive in this context due
to their commercial availability which could facilitate wider adoption by the polymer
community. 222 EXPERIMENTAL SECTION Mn and Mw/Mn were determined versus
polystyrene standards (500 g/mol-3150 kg/mol, Polymer Laboratories). DSC experiments
were conducted using a Shimadzu DSC-60A instrument, calibrated with an indium
standard using aluminum pans under inert conditions. 223 Example solvent-free ROP. A 1 mL vial was charged with TCC (6.3 mg, 0.019 mmol),
benzyl alcohol (0.86 mg, 0.008 mmol), VL (200 mg, 1.995 mmol), magnetic stir bar and
stirred until homogeneous. A second vial was charged with MTBD (3.06 mg, 0.019 mmol)
and VL (200 mg, 1.99 mmol) and agitated to mix. The contents of the second vial were
transferred to the first vial using a Pasteur pipette, and the solution was stirred. Reaction
progress was monitored by taking aliquots of the reaction mixture – either ~1.5 µL solution
or a small amount of solid extracted via spatula – at different time intervals and quenched
in a solution of benzoic acid in chloroform-d. Conversion was determined via 1H NMR. The polymer was isolated by precipitating with hexanes, and the volatiles were removed
under high vacuum before characterization via GPC. Example solvent-free ROP with TBD. A 1 mL vial was charged with TBD (2.8 mg, 0.019
mmol), benzyl alcohol (0.86 mg, 0.008 mmol), VL (400 mg, 3.99 mmol), magnetic stir bar
and stirred vigorously to mix. The TBD does not completely dissolve under these reaction
conditions. Reaction progress was monitored by taking aliquots of the reaction mixture –
either ~1.5 µL solution or a small amount of solid extracted via spatula – at different time
intervals and quenched in a solution of benzoic acid in chloroform-d. Conversion was
determined via 1H NMR. The polymer was isolated by precipitating with hexanes, and the
volatiles were removed under high vacuum before characterization via GPC. Example solution ROP of LA. A 7 mL vial was charged with 2-S (10.7 mg, 0.0174 mmol),
L-LA (100 mg, 0.694 mmol), benzyl alcohol (0.72 μL, 0.00694 mmol) and toluene (0.25M,
toluene 2.77mL). PMDTA (3.63 μL, 0.0174 mmol) was loaded into a 2 mL vial equipped
with septa cap. The vials were transferred from the glovebox to an oil bath adjusted to the
specific temp. The contents of vial 1 were transferred into vial 2. Aliquots were taken via 224 syringe and quenched using a CH2Cl2 solution of benzoic acid and conversion was
monitored by 1H NMR. Example one-pot copolymerization. EXPERIMENTAL SECTION A 7 mL vial was charged with TCC (6.3 mg, 0.019
mmol), benzyl alcohol (1.72 mg, 0.016 mmol), VL (400 mg, 3.99 mmol), magnetic stir bar
and stirred until homogeneous. A second vial was charged with BEMP (5.48 mg, 0.019
mmol) and CL (455.8 mg, 3.99 mmol) and mixed well. The contents of the second vial was
transferred to the first vial using a Pasteur pipette, and the mixture was left to stir. The
contents of the second vial were transferred to the first vial using a Pasteur pipette, and the
solution was stirred. Reaction progress was monitored by taking aliquots of the reaction
mixture – either ~1.5 µL solution or a small amount of solid extracted via spatula – at
different time intervals and quenched in a solution of benzoic acid in chloroform-d. Conversion was determined via 1H NMR. The polymer was isolated by precipitating with
hexanes, and the volatiles were removed under high vacuum before characterization via
GPC. GPC. Example ROP of L-LA. A 7 mL vial was charged with 2-S (17.1 mg, 0.028 mmol), benzyl
alcohol (3 mg, 0.028 mmol), L-LA (400 mg, 2.77 mmol), stir bar, and the contents were
heated to 100oC to melt the sample. A second vial was charged with PMDTA (4.80 mg,
0.028 mmol), and PMDTA was transferred via a 10 µL syringe to the first vial and the
mixture was left to stir. The reaction was monitored by taking aliquots of the reaction
mixture via spatula and quenching in a solution of benzoic acid in chloroform-d. Reaction
progress was monitored via 1H NMR. The polymer was then isolated by precipitating with
methanol, and the volatiles were removed under high vacuum before characterization via
GPC. 225 Determination of percent isotacticity. The 13C and 1H decoupled NMR spectra of the
isolated polymer were acquired on a Varian 500 MHz at 50oC. The samples for 13C and 1H
NMR were prepared as 10 % w/v and 1% w/v solutions, respectively, in CDCl3. The 1H
NMR spectrum of the polymer was obtained by selective decoupling by irradiating the
methyl region, and tacticity was determined from the methine region according to
published procedures, see manuscript for references. Determination of percent isotacticity. The 13C and 1H decoupled NMR spectra of the
isolated polymer were acquired on a Varian 500 MHz at 50oC. The samples for 13C and 1H
NMR were prepared as 10 % w/v and 1% w/v solutions, respectively, in CDCl3. The 1H
NMR spectrum of the polymer was obtained by selective decoupling by irradiating the
methyl region, and tacticity was determined from the methine region according to
published procedures, see manuscript for references. Direct-from-monomer negative mold. A 7 ml polypropylene vial was charged with TCC
(13.7 mg, 0.049 mmol), benzyl alcohol (15.6 mg, 0.049 mmol), VL (1000 mg, 10 mmol)
and agitated to mixed. The top inside wall of a clean vial cap was charged with BEMP
(13.7 mg, 0.049 mmol), which clings to the surface of the cap. The vial was capped with
the BEMP containing cap and shaken vigorously to coat the inner wall of the vial during
the course of the ROP (~30 sec). The reaction vessel was removed from the glove box. The PVL vial negative is easily freed from the reaction vial. 226 RESULTS AND DISCUSSION ROP of Strained Lactones. The solvent-free TCC/base cocatalyzed ROP of δ-
valerolactone (VL) from benzyl alcohol at room temperature exhibits the characteristics of
a living polymerization. Initial studies were performed on VL (solvent-free, 3.99 mmol)
using benzyl alcohol initiator (0.2 mol %), TCC H-bond donor and one of three base
cocatalysts (DBU, MTBD or BEMP in Table 6.1). The TCC/base (0.02 mmol each)
catalyst systems displayed the same rate trends in neat VL as in solution17: BEMP > MTBD
> DBU, Table 6.1. Polymerizations were conducted in a glovebox, and aliquots were
withdrawn, quenched in a CDCl3 solution of benzoic acid and conversion monitored by 1H
NMR (see Experimental Section). Despite solidification of the reaction mixture during the
ROP (~60% conversion), the TCC/MTBD cocatalyzed ROP of VL from benzyl alcohol
displays the characteristics of a living polymerization: linear evolution of Mn vs
conversion, narrow Mw/Mn, first order evolution of [monomer] (Figure 6.1) and Mn
predictable from [M]o/[I]o (Table 6.1). 1H NMR analysis of the polyvalerolactone (PVL)
reaction mixture of each system (at [M]o/[I]o =100) confirms the consumption of benzyl
alcohol initiator suggesting good initiator efficiency. When the same polymerization is
initiated from pyrenebutanol, the resulting PVL displays overlapping UV/vis and RI traces
in the GPC chromatogram (Figure 6.2). The TCC/BEMP system displays the same living
behavior, but it was too active to effectively monitor at 0.02 mmol catalysts (4 mmol VL),
although reduced catalyst loadings remain active (>0.004 mmol, the lowest evaluated) and
controlled, see Table 6.5 and Figures 6.3 and 6.2. The TCC/BEMP and TCC/MTBD
systems were also applied for the ROP of ε-caprolactone (CL). The reaction rates and ROP of Strained Lactones. The solvent-free TCC/base cocatalyzed ROP of δ-
valerolactone (VL) from benzyl alcohol at room temperature exhibits the characteristics of
a living polymerization. Initial studies were performed on VL (solvent-free, 3.99 mmol)
using benzyl alcohol initiator (0.2 mol %), TCC H-bond donor and one of three base
cocatalysts (DBU, MTBD or BEMP in Table 6.1). The TCC/base (0.02 mmol each)
catalyst systems displayed the same rate trends in neat VL as in solution17: BEMP > MTBD
> DBU, Table 6.1. Polymerizations were conducted in a glovebox, and aliquots were
withdrawn, quenched in a CDCl3 solution of benzoic acid and conversion monitored by 1H
NMR (see Experimental Section). RESULTS AND DISCUSSION Despite solidification of the reaction mixture during the
ROP (~60% conversion), the TCC/MTBD cocatalyzed ROP of VL from benzyl alcohol
displays the characteristics of a living polymerization: linear evolution of Mn vs
conversion, narrow Mw/Mn, first order evolution of [monomer] (Figure 6.1) and Mn
predictable from [M]o/[I]o (Table 6.1). 1H NMR analysis of the polyvalerolactone (PVL)
reaction mixture of each system (at [M]o/[I]o =100) confirms the consumption of benzyl
alcohol initiator suggesting good initiator efficiency. When the same polymerization is
initiated from pyrenebutanol, the resulting PVL displays overlapping UV/vis and RI traces
in the GPC chromatogram (Figure 6.2). The TCC/BEMP system displays the same living
behavior, but it was too active to effectively monitor at 0.02 mmol catalysts (4 mmol VL),
although reduced catalyst loadings remain active (>0.004 mmol, the lowest evaluated) and
controlled, see Table 6.5 and Figures 6.3 and 6.2. The TCC/BEMP and TCC/MTBD
systems were also applied for the ROP of ε-caprolactone (CL). The reaction rates and 227 molecular weight dispersities are attenuated versus the ROP of VL, but both reactions
remain controlled and display living behavior (Figure 6.4 and Table 6.6). PVL and PCL
samples can be freed of catalysts impurities by washing with methanol, but PVL samples
containing residual catalysts showed no alteration of their materials properties up to 0.5
mol% catalysts loading (the highest loading tested). Both cocatalysts are required for efficient ROP. Solutions of TCC plus benzyl
alcohol (0.1 mol % each) in VL (1 equiv) were stored at room temperature and periodically
monitored for 60 days and showed no conversion. Solutions of BEMP or MTBD (0.5
mol%) in VL (1 equiv) were less stable towards conversion at room temperature, reaching
7% and 17% conversion, respectively, after 21 days. Both VL solutions of base were more
stable when stored at -10°C, the BEMP solution showing zero conversion to polymer after
20 days, see Figure 6.5. We presume that the observed conversions are due to initiation
from base.30 Despite being inert separately, the combined solutions can yield an ROP so
rapid, that the combined solvent-free solutions (10 mmol VL, 0.049 mmol TCC/BEMP
each, 0.020 mmol benzyl alcohol) can be used to make a negative mold of the reaction
vessel in 30 sec (Figure 6.6) directly from monomer. Potential application can be
envisaged. Among H-bond mediated catalysts for ROP, urea/base cocatalysts stand out for the
activity and control they exhibit in solvent-free ROP conditions. RESULTS AND DISCUSSION Among other organic
catalysts that have been applied for neat ROP,31–33 TBD is of particular interest in the
context of the present studies.21,22 Some reports of TBD-mediated solvent-free ROP are
conducted in the melt or describe ROP to amorphous polymers,21,22 which would be
expected to produce the narrow molecular weight distributions typical of solution 228 processes. In our hands, TBD (Table 6.1, entry 7) exhibits similar rates as TCC/MTBD
for solvent-free ROP of VL but with broadened Mw/Mn versus the ROP with the urea/base
cocatalysts. However, TCC/BEMP produces the narrowest Mw/Mn and is the most active
examined under these conditions. When used alone, strong bases have also been shown to
effect the ROP of lactones. For example, BEMP has been applied to the room temperature,
solvent-free ROP of VL without an H-bond donating cocatalyst.31 The ROP appeared to
be living in nature but sluggish, reaching full conversion to poly(valerolactone) (PVL) in
days and displaying a broadened Mw/Mn.31 We believe the ability to conduct rapid and
highly controlled ROP of lactones like VL and CL under solvent-free and non-melt
conditions constitutes an advantage of the TCC/base cocatalysts over other
(organo)catalyst systems. The observation of highly active TCC/base cocatalyzed ROP under solvent-free
conditions corroborates an imidate mechanism of action, Scheme 6.1. Several H-bond
donors were evaluated for the solvent-free ROP of VL (Table 6.2), and these results suggest
that urea H-bond donors are more effective than thiourea H-bond donors for the ROP of
strained lactones. This observation is consistent with a cocatalyst binding argument for
thiourea/base cocatalyzed ROP,28,34 as the cocatalyst interactions would be greatly
attenuated in polar VL solvent whereas thiourea-VL binding should remain active in neat
monomer. For the urea/base cocatalyzed ROP under an imidate mechanism, the efficacy
of the catalysts would not be disturbed by the polar reaction environment. This is
confirmed by NOESY NMR experiments of acetone-d6 solutions of TCC/MTBD or
TCC/BEMP which show intermolecular contact, indicating the formation of the imidate
(Figure 6.7). NOESY experiments on 1-S/MTBD and 1-S/BEMP show no intermolecular 229 communication in acetone-d6 or C6D6, which suggests that thioimidate formation is not a
prominent mechanism of action for these catalyst pairs. RESULTS AND DISCUSSION These experiments are
corroborated by previous studies performed by our group that show strong H-bonding (no
proton transfer) between cocatalyst pairs of thiourea and base,28 but evidence of proton
transfer is observed between urea and base.17 Previous studies have shown that 1:1 mole
ratios of H-bond donor and base are optimal for ROP (in solution) no matter how many H-
bond donating moieties are present in the donor molecule.28,35,36 ROP of Macrolactones. The TCC/BEMP cocatalyzed ROP of macrolactones,
ethylene brassylate and pentadecalactone, under solvent-free conditions proceeds at 80°C. The TCC/BEMP (0.06 mmol) cocatalyzed ROP of EB (2.95 mmol) at room temperature
and solvent-free is exceedingly slow (16 h, 60% conversion), but the same ROP at 80°C
proceeds in hours to full conversion, Table 6.3. The ROP reactions in Table 6.3 display
moderate control of Mn by [M]o/[I]o and broad Mw/Mn ~1.5; however, the Mn evolves
linearly with conversion and Mw/Mn remains narrow early in the ROP (Figure 6.8). These
observations are consistent with previous reports of the entropically-controlled ROP of
macrolactones, which often require heating to favor the formation of polymer,22,24,25,37
although enzymatic catalysts do not require excessive heating.3,24,26 The results with
TCC/BEMP stand in stark contrast to the ROP of EB (0.4 g, 1.47 mmol) mediated by 1-
S/BEMP (0.03 mmol each) from benzyl alcohol (0.03 mmol) which achieves only 25%
conversion to polymer in 10 hours. When combined with the 1-S vs TCC result for the
ROP of VL (see ROP of Strained Lactones), these results suggest that ureas are generally
more effective than thiourea H-bond donors for ROP. 230 H-bonding catalysts are effective and thermally stable at 80°C. The ROP of
macrolactones are usually conducted at elevated temperatures so that the entropically
controlled enchainment favors the formation of polymer.22,37 Hence, the H-bond mediated,
solvent-free ROP of macrolactones presents a distinct challenge over that of VL or CL
because the H-bonding interactions of thiourea and urea mediated ROP weaken at high
temperature.38 Further, organic catalysts are susceptible to charring/decomposition at high
temperature.39 However, neither deactivation nor decomposition appear to be a concern
for TCC/base cocatalyzed ROP at 80°C (Table 6.3). TCC/BEMP were also applied for the
solvent-free ROP of PDL from benzyl alcohol (Table 6.3). Versus EB, the polymerization
times (6-8 h) and Mw/Mn (> 2) are attenuated, which may be due to the elevated viscosity
of the PDL and PPDL vs EB and PEB. ROP of Lactide. RESULTS AND DISCUSSION Contrary to other lactones, thiourea catalysts are more active than their
urea analogues in the solvent-free ROP of L-LA conducted at 100°C. L-LA and isotactic
PLA are crystalline which requires elevated temperatures to melt the monomer (Tm = 97°C) ROP of Lactide. Contrary to other lactones, thiourea catalysts are more active than their
urea analogues in the solvent-free ROP of L-LA conducted at 100°C. L-LA and isotactic
PLA are crystalline which requires elevated temperatures to melt the monomer (Tm = 97°C)
and, ostensibly, polymer (Tm = 180°C, PLLA). Several H-bond donors with PMDTA
cocatalyst (0.0277 mmol each, see Table 6.4) were evaluated for the solvent-free ROP of
L-LA (0.40 g, 2.77 mmol) from benzyl alcohol (0.055 mmol) at 100°C. As opposed to the
(thio)urea mediated ROP of VL or CL, weak base cocatalysts are optimal for the ROP of
LA.13,40 Every thiourea H-bond donor is more active for the ROP of LA than its
corresponding urea H-bond donor. Indeed, the only urea that stands out in the series is
TCC, which is more active in the ROP than the other urea H-bond donors. A similar trend
has been observed in solution where TCC is more active than 1-O,17 and ureas with fewer
electron withdrawing substituents have been observed to be more active.16 231 A screen of base cocatalysts with 2-S showed PMDTA cocatalyst to exhibit a good
combination of high rate and control (Table 6.7). The reaction solution solidifies during
the course of the polymerization, ~80% conversion, Figure 6.9, and the first order evolution
of concentration of monomer exhibits deviation from linearity that may be associated with
limited molecular mobility in the crystalline polymer. However, the other characteristics
of a living polymerization persist: Mn predictable from [M]o/[I]o, linear evolution of Mn
vs conversion, and narrow Mw/Mn (Figure 6.9). When initiated from pyrenebutanol, the 2-
S/PMDTA cocatalyzed ROP in solvent-free conditions produces PLA that exhibits
overlapping UV and RI traces in the GPC (Figure 6.2), which suggests that the polymer
chains are initiated from the fluorescent alcohol. Certainly, the results in Table 6.4 suggest
that conducting the H-bond mediated ROP of LA in the polymer melt (i.e. >180°C) is not
necessary to retain the high level of control associated with a living organocatalytic ROP. The solvent-free ROP of LA mediated by 2-S/PMDTA remains active at elevated
temperatures. RESULTS AND DISCUSSION Solution ROPs of LA (0.694 mmol, 0.25 M) from benzyl alcohol (0.0025
M) using 2-S/PMDTA (0.0063 M each) were conducted in toluene. At 50°C, the ROP
proceeds to 24% conversion in 125 min (kobs = 0.0021, Figure 6.10), but at 80°C and above,
the reaction proceeds to polymer very slowly (2% conversion at 60 min). Analogous
solvent-free ROP remains active up to 180°C (the highest temperature examined), and the
ROPs of macrolactones do not experience deactivation at elevated temperature (see ROP
of Macrolactones). The low concentrations required to fully dissolve LA in toluene is not
the source of the catalyst deactivation at high temperature. A solvent free ROP of LA
(6.244 mmol) catalyzed by 2-S/PMDTA at reduced catalyst loadings (0.006 mmol each)
from benzyl alcohol (0.125 mmol) at 100°C achieves 90% conversion in 24 h. Further, the 232 solution ROP in CDCl3 (1 M LA; 0.025 M cats; 0.010 M benzyl alcohol) allows for higher
reagent concentrations, but a ROP at 40°C in this solvent is not appreciably faster than the
low concentration toluene run discussed above (kCDCl3/ktoluene = 2). Even these reaction
conditions experience reduced activity at elevated temperatures. These observations
suggest greater synthetic flexibility in the solvent-free (versus solution) ROP of LA. For the ROP of lactide, the effects of reaction conditions on polymer tacticity must
also be considered. For each polymerization in Table 6.4, the percent isotacticity was
determined from the isolated polymer by 1H decoupled 13C NMR using previously
established tacticity-dependent chemical shifts (Experimental Section).13,41,42 A small
temperature screen was conducted, and running the 2-S/PMDTA (0.028 mmol each)
cocatalyzed ROP of L-LA at or below ~97°C (the melting point of LA) results in drastically
reduced polymerization rates, and reaction temperatures at or above 140°C erode
stereochemistry. In the ROP of L-LA, the retention of stereochemistry is important due to
the highly tacticity-dependent material properties of PLA.39 The 2-S/PMDTA cocatalyst
system (Table 6.4, entry 1) is not only the most active catalyst of the systems examined,
but it exhibits the highest isotacticity (0.94). This observation suggests that 2-S is highly
selective for chain extension vs non-productive reactions and begs for the further
optimization of this platform, which will be the focus of future work. In a recent touchstone
on the challenges of solvent-free ROP of LA,39 it was noted that commercial samples of
PLA are ideally >0.97 isotacticity. RESULTS AND DISCUSSION This suggests that 2-S/PMDTA at 0.94 isotacticity is
not a ready-made solution to the problem that is the solvent-free, organocatalytic ROP of
LA; however, our results suggest that these H-bond mediated catalysts may be able to
provide the answer upon further optimization. Indeed, in a comparable solution experiment 233 (c.f. Table 6.4, entry 1), the 2-S/PMDTA (0.05 mmol) cocatalyzed ROP of L-LA (1 mmol,
1 M) from benzyl alcohol (0.01 mmol) in CDCl3 at room temperature yields highly isotactic
polymer (%iso = 0.97; Tm = 169°C). In addition to tacticity, the introduction of color to
PLA samples from catalyst (or decomposition) impurities can be a concern.39 The 2-
S/PMDTA cocatalyzed ROP (Table 6.4, entry 1) produces an off-white, yellow color at
high conversion, but the discoloration is very minimal if freshly-distilled PMDTA is used. Future catalysts with enhanced thermal stability or augmented activity (i.e. lower catalyst
loadings) may prevent discoloration, but the color is easily removed by washing the
polymer with methanol. Last, the comparable TBD-catalyzed (0.014 mmol) ROP of L-LA
(0.40 g, 2.78 mmol) from benzyl alcohol (0.028 mmol) was conducted under solvent-free
conditions (at 100oC) resulting in 90% conversion to polymer in 4 h and yielding PLLA
that exhibits lower isotacticity (%iso = 0.78) than the 2-S/PMDTfA cocatalyzed reaction
(TBD polymer: Mn = 19,900; Mw/Mn = 1.30). These results suggest that 2-S, and indeed
most thioureas, plus amine base cocatalysts are more effective than TBD for the solvent-
free ROP of LA. Unlike other monomers examined, thioureas (vs ureas) are superior catalysts – in
terms of both activity and control – for the H-bond mediated ROP of lactide. We conducted
a rate comparison for the 1-S vs 1-O (with PMDTA) mediated ROP of L-LA in acetone-
d6, and the thiourea catalyst is the more active of the two: k1-S/k1-O (acetone-d6) = 4.4. Contrary to LA, ureas are always more active and controlled than the corresponding
thioureas for the ROP of VL and CL regardless of the reaction solvent.17,36 This suggests
that the relative activity of urea vs thiourea is not dictated by solvent, and the various
monomers seem to exhibit a preference for urea vs thiourea. Our group previously 234 described the activity of thiourea/amine base cocatalysts in the ROP of LA as being related
to the nature of cocatalyst binding (i.e. RESULTS AND DISCUSSION enthalpic vs solvophobic binding),34 and
understanding the preference exhibited by LA for thioureas vs ureas may require a full
study of the solution interactions at play during an ROP catalyzed by the various catalysts. We are unable to measure a urea/LA binding constant due to poor solubility in non-
hydrogen bonding solvents. Copolymerizations. The generation of copolymers is possible through a one-pot, solvent-
free approach. In the one-pot ROP of VL (3.99 mmol) and CL (3.99 mmol) from benzyl
alcohol (0.016 mmol) (solvent-free, room temperature), the TCC/MTBD (0.02 mmol)
cocatalyst system fully converts VL to polymer in 10 min, but the homopolymer
precipitates from CL solution prior to conversion of the slower opening monomer. The
TCC/BEMP system, however, allows for the full conversion to PVL-co-PCL (Mn = 94,000;
Mw/Mn = 1.41) in 5 h. The first order evolution of [monomer]s versus time suggests the
formation of a gradient-block copolymer (Figure 6.11). The successful formation of block-
copolymer with TCC/BEMP versus TCC/MTBD which does not produce copolymer
suggests that the former cocatalysts are able to conduct ROP of the slower monomer on a
time scale that is competitive with precipitation of the homo-PVL from CL solvent. Copolymerizations were also performed with VL/EB (3.99 mmol/3.99 mmol) and CL/EB
(3.5 mmol/3.5 mmol) employing the TCC/BEMP (2 mol%) cocatalysts. In these ROPs,
conducted entirely at room temperature and solvent free (see Experimental Section) VL
and CL quickly achieve full conversion in 5 min and 6 min, respectively, and the EB blocks
grow slowly over the next ~11 h to give PVL-co-PEB (Mn = 27,000; Mw/Mn = 1.60) and
PCL-co-PEB (Mn = 28,700; Mw/Mn = 1.48). The relative kinetics (Figure 6.12) suggest 235 the formation of block copolymers. This same approach was used to generate a one-pot
triblock copolymer: VL (3.99 mmol), CL (3.99 mmol) and EB (3.99 mmol) were grown
from benzyl alcohol (0.1197 mmol) using TCC/BEMP (0.1197 mmol each). The
conversion versus time of this ROP suggests a gradient-block polymer (see SI, the previous
VL/CL copolymerization produced a gradient-copolymer), and 1H and 13C NMR of the
isolated polymer (see Figure 6.13) indicate that all blocks are present (Mn = 40,000, Mw/Mn
= 1.53). A solvent-free approach to the copolymerization of LA and VL allows for the one-
pot synthesis of block copolymers. RESULTS AND DISCUSSION In the one-pot synthesis of diblock copolymers of LA
and VL in solution, the ROP has been observed to proceed to full conversion of LA when
reaction progress halts, resulting in the incorporation of no comonomer.11 To confirm this
report, a copolymerization of LA (0.33 mmol, 0.66 M) and VL (0.99 mmol, 2 M) from
benzyl alcohol using trimethyl-1,4,7-triazacyclononane (t-TACN, see Table 6.7)/TCC
cocatalysts (0.0265 mmol each) was attempted in C6D6.34,40 The LA achieved full
conversion to polymer in 18 h, but the VL does not convert over the next 24 hours; the
expected result. Under solvent-free conditions, however, the copolymerization under
otherwise same conditions results in full conversion of both monomer portions in 3.5 h
yielding a single peak in the GPC trace (Mn = 27,600; Mw/Mn = 1.57) and two phase
transitions (DSC: Tm =52°C and 148°C). First order evolution of [monomer] vs time
suggests the formation of a block copolymer (Figure 6.14). When the one-pot
copolymerization of LA and CL is attempted, the LA achieves full conversion in 2 min,
but the CL does not undergo any enchainment over the next 24 h. Typically, alkylamine
base cocatalysts are not effective for the ROP of VL or CL, but these results suggest that 236 solvent-free, reaction conditions may provide new opportunities in catalyst development
as well as materials synthesis. 237 CONCLUSION Thiourea and urea catalysts have been shown to be effective for the solvent-free
ROP of lactones at ambient and elevated temperatures. The urea class of H-bond donors
facilitates solvent-free ROP for most monomers (VL, CL and EB), the thioureas being
exceedingly slow in the ROP of these highly polar lactones. Solvent polarity is not the
primary determining factor, however, as thioureas (not ureas) are more effective for the
ROP of LA in solvent and the monomer melt. The ROPs retain the characteristics of a
living polymerization despite solidifying prior to full conversion, and copolymers can be
accessed in a variety of combinations. For those seeking to employ organocatalysts of this
class in polymer synthesis, we offer a succinct summation: 1) urea (vs thiourea) H-bond
donors plus base are the most active and most controlled organocatalysts for ROP under
any reaction conditions (lactide excluded); 2) TCC/BEMP is the most active, most
controlled organocatalytic system but TCC/MTBD is almost as active and probably more
readily available; 3) for the ROP of lactide, the bisthiourea 2-S plus PMDTA is the most
active and controlled organic cocatalyst system that we are aware of. In catalyst
development, the community has come a long way in terms of catalytic activity from 1-S
(PLA: 0.7/min; PVL: 0.2/min) to more active H-bond donors (PLA: 18.2/min (2-S); PVL:
63/min (TCC)), but catalyst productivity has so far been limited by catalyst deactivation at
reduced loadings. Further, there is no ostensible cost – in terms of reaction control – for
employing more active (thio)urea H-bond donors. For (thio)urea ROP catalysts under
solvent-free conditions and in solution,35,36 more active catalysts are generally more
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O
OH
+
TCC and base
(0.02 mmol each)
O
O H
O
n
N
H
N
H
O
Cl
Cl
Cl
N
N
N
N
N
N
H
N
N
N
P
N
N
N
t-Bu
MTBD
TBD
DBU
BEMP
TCC
solvent-free, r.t. Table 6.1. TCC plus base cocatalyzed ROP of VL. Reaction conditions: VL (3.99 mmol,
1 equiv, neat), TCC and base (0.02 mmol, each). a) monomer conversion was monitored
via 1H NMR. b) Mn and Mw/Mn were determined by GPC (CH2Cl2) vs polystyrene
standards. c) no TCC, only TBD (0.02 mmol). LIST OF REFERENCES VL
(neat)
Entry
Base
[M]o/[I]o Time (min) Conv.a (%) Mnb (g/mol) Mw/Mnb
1
DBU
500
65
97
99,500
1.12
2
BEMP
500
3
95
108,000
1.04
3
MTBD
500
31
99
100,500
1.08
4
200
15
96
43,900
1.07
5
100
15
98
22,000
1.16
6
50
10
98
10,300
1.10
7c
TBD
500
27
99
115,500
1.21 O
O
OH
+
TCC and base
(0.02 mmol each)
O
O H
O
n
N
H
N
H
O
Cl
Cl
Cl
N
N
N
N
N
N
H
N
N
N
P
N
N
N
t-Bu
MTBD
TBD
DBU
BEMP
TCC
solvent-free, r.t. VL
(neat) Entry
Base
[M]o/[I]o Time (min) Conv.a (%) Mnb (g/mol) Mw/Mnb
1
DBU
500
65
97
99,500
1.12
2
BEMP
500
3
95
108,000
1.04
3
MTBD
500
31
99
100,500
1.08
4
200
15
96
43,900
1.07
5
100
15
98
22,000
1.16
6
50
10
98
10,300
1.10
7c
TBD
500
27
99
115,500
1.21 Table 6.1. TCC plus base cocatalyzed ROP of VL. Reaction conditions: VL (3.99 mmol,
1 equiv, neat), TCC and base (0.02 mmol, each). a) monomer conversion was monitored
via 1H NMR. b) Mn and Mw/Mn were determined by GPC (CH2Cl2) vs polystyrene
standards. c) no TCC, only TBD (0.02 mmol). Table 6.1. TCC plus base cocatalyzed ROP of VL. Reaction conditions: VL (3.99 mmol,
1 equiv, neat), TCC and base (0.02 mmol, each). a) monomer conversion was monitored
via 1H NMR. b) Mn and Mw/Mn were determined by GPC (CH2Cl2) vs polystyrene
standards. c) no TCC, only TBD (0.02 mmol). 243 O
O
OH
+
Donor and MTBD
(0.02 mmol each)
O
O H
O
n
solvent-free, r.t. LIST OF REFERENCES VL
(3.9 mmol, neat)
(0.008 mmol)
N
N
N
N
H
N
H
X
CF3
F3C
N
H
N
H
X
CF3
F3C
N
H
N
H
X
CF3
CF3
HN
HN
X
CF3
F3C
NH
NH
X
F3C
F3C
N
H
N
H
X
F3C
F3C
N
2-S: X = S
2-O: X = O
1-S: X = S
1-O: X = O
3-S: X = S
2-O: X = O
MTBD (0.008 mmol) Entry
Donor
Time (min)
Conv.a (%)
Mnb (g/mol)
Mw/Mnb
1
1-S
1,200
94
71,500
1.29
2
1-O
440
96
97,800
1.17
3
2-S
1,420
96
82300
1.17
4
2-O
30
97
101,000
1.13
5
3-S
1,900
99
85,700
1.19
6
3-O
6
98
94,500
1.07 Table 6.2. H-bond donor plus base cocatalyzed ROP of VL. Reaction conditions: VL (3.99
mmol, 1 equiv, solvent-free), benzyl alcohol (0.008 mmol) and (thio)urea/MTBD (0.02
mmol each). a) monomer conversion was monitored via 1H NMR. b) Mn and Mw/Mn were
determined by GPC (CH2Cl2) vs polystyrene standards. Table 6.2. H-bond donor plus base cocatalyzed ROP of VL. Reaction conditions: VL (3.99
mmol, 1 equiv, solvent-free), benzyl alcohol (0.008 mmol) and (thio)urea/MTBD (0.02
mmol each). a) monomer conversion was monitored via 1H NMR. b) Mn and Mw/Mn were
determined by GPC (CH2Cl2) vs polystyrene standards. . H-bond donor plus base cocatalyzed ROP of VL. Reaction conditions: VL (3.99 Table 6.2. H-bond donor plus base cocatalyzed ROP of VL. Reaction conditions: VL (3.99
mmol, 1 equiv, solvent-free), benzyl alcohol (0.008 mmol) and (thio)urea/MTBD (0.02
mmol each). a) monomer conversion was monitored via 1H NMR. b) Mn and Mw/Mn were
determined by GPC (CH2Cl2) vs polystyrene standards. 244 O
O
O
O
O
O
OH
TCC and BEMP
(2.0 mol% each)
solvent-free, 80°C
poly(ethylene breassylate)
or
poly(petnadecalactone)
EB
(neat)
or
PDL
(neat)
+
Entry Mon. [M]o/[I]o Time (min) Conv.a (%) Mnb (g/mol) Mw/Mnb
1
EB
50
90
99
28,200
1.64
2
100
130
97
42,800
1.62
3
200
330
96
51,000
1.60
4
PDL
50
360
96
24,800
2.23
5
100
900
97
33,000
2.46 O
O
O
O
O
O
OH
TCC and BEMP
(2.0 mol% each)
solvent-free, 80°C
poly(ethylene breassylate)
or
poly(petnadecalactone)
EB
(neat)
or
PDL
(neat)
+ OH Entry Mon. LIST OF REFERENCES [M]o/[I]o Time (min) Conv.a (%) Mnb (g/mol) Mw/Mnb
1
EB
50
90
99
28,200
1.64
2
100
130
97
42,800
1.62
3
200
330
96
51,000
1.60
4
PDL
50
360
96
24,800
2.23
5
100
900
97
33,000
2.46 Table 6.3. TCC plus base cocatalyzed ROP of macrolactones. Reaction conditions: EB
and PDL (2.95 and 1.66 mmol respectively, 1 equiv, solvent free), benzyl alcohol,
TCC/BEMP (0.06 (for EB) and 0.033 (for PDL) mmol). a) monomer conversion was
monitored via 1H NMR. b) Mn and Mw/Mn were determined by GPC (CH2Cl2) vs
polystyrene standards. 245 245 Entry Donor Time (min) Conv.a (%) Mnb (g/mol) Mw/Mnb %Isoc
1
2-S
5
90
10,700
1.06
0.94
2
3-S
20
90
14,600
1.07
0.80
3
TCC
33
90
15,800
1.09
0.82
4
3-O
102
91
11,300
1.16
0.85
5
1-S
130
90
11,300
1.11
0.83
6
2-O
230
90
10,400
1.18
0.83
7
1-O
540
92
12,100
1.11
0.82
O
O
OH
donor and PMDTA
(0.028 mmol each)
solvent-free, 100°C
O
O
O
O
O
H
n
O
O
L-LA
2.8 mmol
0.055 mmol
+
N
N
N
PMDTA O
O
OH
donor and PMDTA
(0.028 mmol each)
solvent-free, 100°C
O
O
O
O
O
H
n
O
O
L-LA
2.8 mmol
0.055 mmol
+
N
N
N
PMDTA OH
donor and PMDTA
(0.028 mmol each)
solvent-free, 100°C
O
O
O
O
O
H
n
N
N
N
PMDTA Entry Donor Time (min) Conv.a (%) Mnb (g/mol) Mw/Mnb %Isoc
1
2-S
5
90
10,700
1.06
0.94
2
3-S
20
90
14,600
1.07
0.80
3
TCC
33
90
15,800
1.09
0.82
4
3-O
102
91
11,300
1.16
0.85
5
1-S
130
90
11,300
1.11
0.83
6
2-O
230
90
10,400
1.18
0.83
7
1-O
540
92
12,100
1.11
0.82 Entry Donor Time (min) Conv.a (%) Mnb (g/mol) Mw/Mnb %Isoc
1
2-S
5
90
10,700
1.06
0.94
2
3-S
20
90
14,600
1.07
0.80
3
TCC
33
90
15,800
1.09
0.82
4
3-O
102
91
11,300
1.16
0.85
5
1-S
130
90
11,300
1.11
0.83
6
2-O
230
90
10,400
1.18
0.83
7
1-O
540
92
12,100
1.11
0.82 Table 6.4. H-bond Mediated Solvent-free ROP of L-LA. Reaction conditions: L-LA (400
mg, 2.77 mmol), benzyl alcohol (2 mol%, 0.055 mmol), donor (1 mol%, 0.028 mmol),
PMDTA (1 mol%, 0.028 mmol) in the monomer melt at 100oC. a. Conversion determined
by 1H NMR. b. Table 6.6. TCC plus MTBD or BEMP cocatalyzed ROP of CL. a. Conversion determined
by 1H NMR b Mn and Mw/Mn were obtained by GPC by 1H NMR. b. Mn and Mw/Mn were obtained by GPC. Table 6.7. Base Screen in the 2-S Mediated ROP of L-LA. a. Conversion determined by
1H NMR. b. Isotacticity determined by selectively decoupled 1 H NMR at 50 oC. Mn and
Mw/Mn were obtained by GPC. LIST OF REFERENCES Mn and Mw/Mn determined by GPC versus PS standards. c. %iso = factional
percent isotactic, see Experimental section. 246 O
O
OH
+
n
0.400 g
4 mmol
1 equiv. 0.2 mol% O
O
OH
+
n
0.400 g
4 mmol
1 equiv. 0.2 mol%
TCC / BEMP
(0.1 - 0.5 mol%
solvent-free, 20°C
O
O H
O
n Table 6.5. Solvent free ROP of VL with TCC/BEMP. a. Conversion determined by 1 H
NMR b M and M were obtained by GPC
O
O
OH
+
n
0.400 g
4 mmol
1 equiv. 0.2 mol%
TCC / BEMP
(0.1 - 0.5 mol%
solvent-free, 20°C
O
O H
O
n
Entry
Base loading
(mol%)
Time
(min)
Conv. (%)a
Mn
(g/mol)b
Mw/Mnb
1
0.1
60
95
100,500
1.21
2
0.2
10
99
103,200
1.12
3
0.4
8
99
114,500
1.06
4
0.5
3
96
108,400
1.04
5
0.6
2
98
113,200
1.23 TCC / BEMP
(0.1 - 0.5 mol%
solvent-free, 20°C
O
O H
O
n Entry
Base loading
(mol%)
Time
(min)
Conv. (%)a
Mn
(g/mol)b
Mw/Mnb
1
0.1
60
95
100,500
1.21
2
0.2
10
99
103,200
1.12
3
0.4
8
99
114,500
1.06
4
0.5
3
96
108,400
1.04
5
0.6
2
98
113,200
1.23 Table 6.5. Solvent free ROP of VL with TCC/BEMP. a. Conversion determined by 1 H NMR. b. Mn and Mw were obtained by GPC. NMR. b. Mn and Mw were obtained by GPC. O
O
OH
+
n
0.400 g
1 equiv. 0.2 mol% O
O
n
0.400 g
1 equiv. O
O
OH
+
n
0.400 g
1 equiv. 0.2 mol%
TCC / BEMP or MTBD
(0.1 - 0.5 mol%
solvent-free, 20°C
O
O H
O
n TCC / BEMP or MTBD
(0.1 - 0.5 mol%
solvent-free, 20°C
O
O H
O
n Entry
Base
Base loading
(mol%)
Time
(min)
Conv. (%)a
Mn
(g/mol)b
Mw/Mnb
1
BEMP
0.1
47
160
n/a
n/a
2
0.2
95
142
83,000
1.17
3
0.3
98
60
85,000
1.22
4
0.4
98
40
89,100
1.20
5
0.5
97
30
82,500
1.20
6
MTBD
0.1
9
450
n/a
n/a
7
0.3
40
240
n/a
n/a
8
0.5
98
300
92,000
1.28 247 Entry
Base
Time
(min)
Conv. LIST OF REFERENCES (%)a Isotacticityb
Mnc
Mw/Mnc
1
t-TACN
1
95
0.82
12,500
1.06
2
Me6TREN
2
87
0.88
13,900
1.04
3
PMDTA
5
90
0.94
10,600
1.07
4
(+)-sparteine
10
87
0.89
12,600
1.16
5
DMAP
40
93
0.72
16,500
1.30
6
TMEDA
90
90
0.76
13,800
1.10
7
pyridine
24 h
3
-
-
-
O
O
OH
2-S / base
(1 mol%)
solvent-free, 100°C
O
O
O
O
O
H
n
O
O
0.400
1 equiv. 2 mol%
+
N
N
N
N
N
N
N
N
N
N
N
H
H
N
N
N
TMEDA
Me6TREN
t-TACN
spartiene
PMDTA Entry
Base
Time
(min)
Conv. (%)a Isotacticityb
Mnc
Mw/Mnc
1
t-TACN
1
95
0.82
12,500
1.06
2
Me6TREN
2
87
0.88
13,900
1.04
3
PMDTA
5
90
0.94
10,600
1.07
4
(+)-sparteine
10
87
0.89
12,600
1.16
5
DMAP
40
93
0.72
16,500
1.30
6
TMEDA
90
90
0.76
13,800
1.10
7
pyridine
24 h
3
-
-
-
O
O
OH
2-S / base
(1 mol%)
solvent-free, 100°C
O
O
O
O
O
H
n
O
O
0.400
1 equiv. 2 mol%
+
N
N
N
N
N
N
N
N
N
N
N
H
H
N
N
N
TMEDA
Me6TREN
t-TACN
spartiene
PMDTA O
O
OH
2-S / base
(1 mol%)
solvent-free, 100°C
O
O
O
O
O
H
n
O
O
0.400
1 equiv. 2 mol%
+
N
N
N
N
N
N
N
N
N
N
N
H
H
N
N
N
TMEDA
Me6TREN
t-TACN
spartiene
PMDTA Entry
Base
Time
(min)
Conv. (%)a Isotacticityb
Mnc
Mw/Mnc
1
t-TACN
1
95
0.82
12,500
1.06
2
Me6TREN
2
87
0.88
13,900
1.04
3
PMDTA
5
90
0.94
10,600
1.07
4
(+)-sparteine
10
87
0.89
12,600
1.16
5
DMAP
40
93
0.72
16,500
1.30
6
TMEDA
90
90
0.76
13,800
1.10
7
pyridine
24 h
3
-
-
- 248 248 Scheme 6.1. Mechanism for the urea or thiourea plus base cocatalyzed ROP. LIST OF REFERENCES R N
H
N
H
R'
S
+
N
N
N
+
N
N
N
H
O
O
Ph
O
H
R N
H
N R'
O MTBD-H
O
O
Ph
O
H
O
O
N
H
N
O
N
N
N
H
CF3
CF3
1-O imidate
OH
O
O
Evidence of Proton Transfer Observed
R N
H
N R'
O
H
O
Ph
N
H
N
H
S
CF3
CF3
N
N
N
+
OH
O
O
cocastalys H-bonding Observed
Ureas:
IMIDATE MEDIATED MECHANISM
Thioureas:
NEUTRAL H-BONDING MECHANISM
Ph
O
O H
O
n
1-S
MTBD Thioureas: Thioureas:
NEUTRAL H-BONDING MECHANISM Thioureas:
NEUTRAL H-BONDING MECHANISM OH cocastalys H-bonding Observed CF
O
Ureas:
IMIDATE MEDIATED MECHANISM CF3 OH O imidate Evidence of Proton Transfer Observed Evidence of Proton Transfer Observed Scheme 6.1. Mechanism for the urea or thiourea plus base cocatalyzed ROP. 249 Figure 6.1. (upper) First order evolution of [monomer] versus time and (lower) Mn and
Mw/Mn versus conversion for the TCC/MTBD cocatalyzed ROP of VL. Conditions: VL
(3.99 mmol), TCC (0.02 mmol), MTBD (0.02 mmol) and benzyl alcohol (0.008 mmol) at
room temperature. Figure 6.1. (upper) First order evolution of [monomer] versus time and (lower) Mn and
Mw/Mn versus conversion for the TCC/MTBD cocatalyzed ROP of VL. Conditions: VL
(3.99 mmol), TCC (0.02 mmol), MTBD (0.02 mmol) and benzyl alcohol (0.008 mmol) at
room temperature. 250 Figure 6.2. RI and UV GPC traces of the ROP initiated from pyrenebutanol for (top) PVL
(TCC/BEMP) and (bottom) PLA (2-S/PMDTA). Figure 6.2. RI and UV GPC traces of the ROP initiated from pyrenebutanol for (top) PVL
(TCC/BEMP) and (bottom) PLA (2-S/PMDTA). 251 igure 6.3. (upper) First order evolution of [monomer] versus time; and (lower) Mn an
Mw/Mn versus conversion for the TCC/BEMP cocatalyzed ROP of VL. Conditions: VL
3.99 mmol), TCC (0.019 mmol), BEMP (0.019 mmol) and benzyl alcohol (0.008 mmol
t room temperature Figure 6.3. (upper) First order evolution of [monomer] versus time; and (lower) Mn and
Mw/Mn versus conversion for the TCC/BEMP cocatalyzed ROP of VL. Conditions: VL
(3.99 mmol), TCC (0.019 mmol), BEMP (0.019 mmol) and benzyl alcohol (0.008 mmol)
at room temperature. Figure 6.3. (upper) First order evolution of [monomer] versus time; and (lower) Mn and
Mw/Mn versus conversion for the TCC/BEMP cocatalyzed ROP of VL. Conditions: VL
(3.99 mmol), TCC (0.019 mmol), BEMP (0.019 mmol) and benzyl alcohol (0.008 mmol)
at room temperature. 252 e 6.4. LIST OF REFERENCES (upper) First order evolution of [monomer] versus time and (lower) Mn and
Mn versus conversion for the TCC/BEMP cocatalyzed ROP of CL. Conditions: CL
mmol), TCC (0.018 mmol), BEMP (0.018 mmol) and benzyl alcohol (0.007 mmol)
t
t
y = 0.1216x - 0.0856
R² = 0.9948
0
0.5
1
1.5
2
2.5
3
3.5
4
0
5
10
15
20
25
30
35
Ln([M]o/[M])
Time, min
Stirring Stops
150 rpm
Hard Solid
(no
deformation) y = 0.1216x - 0.0856
R² = 0.9948
0
0.5
1
1.5
2
2.5
3
3.5
4
0
5
10
15
20
25
30
3
Ln([M]o/[M])
Time, min
Stirring Stops
150 rpm
Hard Solid
(no
deformation) Hard Solid
(no
deformation) Figure 6.4. (upper) First order evolution of [monomer] versus time and (lower) Mn and
Mw/Mn versus conversion for the TCC/BEMP cocatalyzed ROP of CL. Conditions: CL
(3.50 mmol), TCC (0.018 mmol), BEMP (0.018 mmol) and benzyl alcohol (0.007 mmol)
at room temperature. Figure 6.4. (upper) First order evolution of [monomer] versus time and (lower) Mn and
Mw/Mn versus conversion for the TCC/BEMP cocatalyzed ROP of CL. Conditions: CL
(3.50 mmol), TCC (0.018 mmol), BEMP (0.018 mmol) and benzyl alcohol (0.007 mmol)
at room temperature. 253 Figure 6.5. Percent conversion to polymer of VL solutions of MTBD, BEMP and TC
plus benzyl alcohol (0.5 mol%, 0.02 mmol for all catalysts) at (upper) -10°C and (lowe
room temperature. Conversions were determined via aliquot by 1H NMR (CDCl3). Figure 6.5. Percent conversion to polymer of VL solutions of MTBD, BEMP and TCC
plus benzyl alcohol (0.5 mol%, 0.02 mmol for all catalysts) at (upper) -10°C and (lower)
room temperature. Conversions were determined via aliquot by 1H NMR (CDCl3). 254 Figure 6.6. Solvent-free ROP allows for the direct-from-monomer creation of a negativ
mold in seconds. Above, the hollow, PVL negative mold is of a polypropylene reaction
vial. Conditions: 10 mmol VL, 0.049 mmol TCC/BEMP (each), 0.020 mmol benzy
alcohol (see Experimental Section). Figure 6.6. Solvent-free ROP allows for the direct-from-monomer creation of a negative
mold in seconds. Above, the hollow, PVL negative mold is of a polypropylene reaction
vial. Conditions: 10 mmol VL, 0.049 mmol TCC/BEMP (each), 0.020 mmol benzyl
alcohol (see Experimental Section). 255 Figure 6.7. 400 MHz 1H NOESY in acetone-d6 of (upper) TCC/MTBD (0.05 mmol each
and (lower) TCC/BEMP (0.05 mmol each). 1-S/MTBD show no cross peaks in aceton
d6 or C6D6 at 0.05 mmol. Figure 6.7. LIST OF REFERENCES 400 MHz 1H NOESY in acetone-d6 of (upper) TCC/MTBD (0.05 mmol each),
and (lower) TCC/BEMP (0.05 mmol each). 1-S/MTBD show no cross peaks in acetone-
d6 or C6D6 at 0.05 mmol. Figure 6.7. 400 MHz 1H NOESY in acetone-d6 of (upper) TCC/MTBD (0.05 mmol each),
and (lower) TCC/BEMP (0.05 mmol each). 1-S/MTBD show no cross peaks in acetone-
d6 or C6D6 at 0.05 mmol. 256 Figure 6.8. Mn and Mw/Mn vs conversion for the TCC/BEMP cocatalyzed ROP of EB. Conditions: EB (2.95 mmol), TCC (0.059 mmol), BEMP (0.059 mmol) and benzyl alcohol
(0.015 mmol) at 80oC. Figure 6.8. Mn and Mw/Mn vs conversion for the TCC/BEMP cocatalyzed ROP of EB. Conditions: EB (2.95 mmol), TCC (0.059 mmol), BEMP (0.059 mmol) and benzyl alcohol
(0.015 mmol) at 80oC. 6.8. Mn and Mw/Mn vs conversion for the TCC/BEMP cocatalyzed ROP of EB Figure 6.8. Mn and Mw/Mn vs conversion for the TCC/BEMP cocatalyzed ROP of EB. Conditions: EB (2.95 mmol), TCC (0.059 mmol), BEMP (0.059 mmol) and benzyl alcohol
(0.015 mmol) at 80oC. 257 0
20
40
60
80
100
120
0
10
20
30
40
50
60
70
ln[L-LA ]o/[L-LA ]
time, min
stirring stops
150 rpm
Hard Solid gure 6.9. (upper) First order evolution of [LA] vs time, and (lower) Mn and Mw/Mn v
onversion. Reaction conditions: L-LA (400 mg, 2.77 mmol), benzyl alcohol (1mol%
028 mmol), 2-S (1 mol%, 0.028 mmol), PMDTA (1 mol%, 0.028 mmol) at 100oC. 0
20
40
60
80
100
120
0
10
20
30
40
50
60
70
ln[L-LA ]o/[L-LA ]
time, min
stirring stops
150 rpm
Hard Solid 0
20
40
60
80
100
120
0
10
20
30
40
50
60
70
ln[L-LA ]o/[L-LA ]
time, min
stirring stops
150 rpm
Hard Solid Figure 6.9. (upper) First order evolution of [LA] vs time, and (lower) Mn and Mw/Mn vs
conversion. Reaction conditions: L-LA (400 mg, 2.77 mmol), benzyl alcohol (1mol%,
0.028 mmol), 2-S (1 mol%, 0.028 mmol), PMDTA (1 mol%, 0.028 mmol) at 100oC. 258 e 6.10. First order evolution of [LA] vs time for the 2-S/PMDTA (2.5 mol% each)
alyzed ROP from benzyl alcohol (1 mol%) in (upper) toluene at 50°C (0.25 M, 0.694
l), and (lower) CDCl3 at 40°C (1 M, 0.694 mmol). Figure 6.10. LIST OF REFERENCES First order evolution of [LA] vs time for the 2-S/PMDTA (2.5 mol% each)
cocatalyzed ROP from benzyl alcohol (1 mol%) in (upper) toluene at 50°C (0.25 M, 0.694
mmol), and (lower) CDCl3 at 40°C (1 M, 0.694 mmol). 259 Figure 6.11. First order evolution of [VL] and [CL] vs time for the one-pot
copolymerization catalyzed by TCC/BEMP. Conditions: VL (3.99 mmol), CL (3.99
mmol), TCC (0.02 mmol), BEMP (0.02 mmol) and benzyl alcohol (0.016 mmol) Figure 6.11. First order evolution of [VL] and [CL] vs time for the one-pot
copolymerization catalyzed by TCC/BEMP. Conditions: VL (3.99 mmol), CL (3.99
mmol), TCC (0.02 mmol), BEMP (0.02 mmol) and benzyl alcohol (0.016 mmol) 260 Figure 6.12. First order evolution of [monomer] vs time for the copolymerization of:
(upper) VL and EB. Conditions: VL (3.99 mmol), EB (3.99 mmol), TCC (0.079 mmol),
BEMP (0.079 mmol) and benzyl alcohol (0.16 mmol). VL had reached full conversion by
first interrogation. (middle) CL and EB. Conditions: CL (3.99 mmol), EB (3.99 mmol),
TCC (0.070 mmol), BEMP (0.070 mmol) and benzyl alcohol (0.140 mmol). CL had
reached full conversion by first interrogation.(lower) VL and LA. Conditions: VL (3.99
mmol), L-LA (1.33 mmol), TCC (0.133 mmol), t-TACN (0.133 mmol) and benzyl alcohol
(0.0532mmol). Figure 6.12. First order evolution of [monomer] vs time for the copolymerization of:
(upper) VL and EB. Conditions: VL (3.99 mmol), EB (3.99 mmol), TCC (0.079 mmol),
BEMP (0.079 mmol) and benzyl alcohol (0.16 mmol). VL had reached full conversion by
first interrogation. (middle) CL and EB. Conditions: CL (3.99 mmol), EB (3.99 mmol),
TCC (0.070 mmol), BEMP (0.070 mmol) and benzyl alcohol (0.140 mmol). CL had
reached full conversion by first interrogation.(lower) VL and LA. Conditions: VL (3.99
mmol), L-LA (1.33 mmol), TCC (0.133 mmol), t-TACN (0.133 mmol) and benzyl alcohol
(0.0532mmol). Figure 6.12. First order evolution of [monomer] vs time for the copolymerization of:
(upper) VL and EB. Conditions: VL (3.99 mmol), EB (3.99 mmol), TCC (0.079 mmol),
BEMP (0.079 mmol) and benzyl alcohol (0.16 mmol). VL had reached full conversion by
first interrogation. (middle) CL and EB. Conditions: CL (3.99 mmol), EB (3.99 mmol),
TCC (0.070 mmol), BEMP (0.070 mmol) and benzyl alcohol (0.140 mmol). CL had
reached full conversion by first interrogation.(lower) VL and LA. Conditions: VL (3.99
mmol), L-LA (1.33 mmol), TCC (0.133 mmol), t-TACN (0.133 mmol) and benzyl alcohol
(0.0532mmol). 261 Figure 6.13. LIST OF REFERENCES 1H and 13C NMR (400 MHz 1H, CDCl3) of the poly(VL-co-CL-co-E
NMR suggests a mole ratio of the monomers in the polymer to be 1:1 (VL+CL:EB
O
O
O
O
O
O
O
O
O H
n
m
l O
O
O
O
O
O
O
O
O H
n
m
l O
O
O
O
O
O
O
O
O H
n
m
l Figure 6.13. 1H and 13C NMR (400 MHz 1H, CDCl3) of the poly(VL-co-CL-co-EB). 1H
NMR suggests a mole ratio of the monomers in the polymer to be 1:1 (VL+CL:EB). Figure 6.13. 1H and 13C NMR (400 MHz 1H, CDCl3) of the poly(VL-co-CL-co-EB). 1H
NMR suggests a mole ratio of the monomers in the polymer to be 1:1 (VL+CL:EB). Figure 6.13. 1H and 13C NMR (400 MHz 1H, CDCl3) of the poly(VL-co-CL-co-EB). 1H
NMR suggests a mole ratio of the monomers in the polymer to be 1:1 (VL+CL:EB). NMR suggests a mole ratio of the monomers in the polymer to be 1:1 (VL+CL:EB) 262 Figure 6.14. First order evolution of [monomer] vs time for the copolymerization of VL
and L-LA. Conditions: VL (3.99 mmol), L-LA (1.33 mmol), TCC (0.133 mmol), t-TACN
(0.133 mmol) and benzyl alcohol (0.053mmol). Figure 6.14. First order evolution of [monomer] vs time for the copolymerization of VL
and L-LA. Conditions: VL (3.99 mmol), L-LA (1.33 mmol), TCC (0.133 mmol), t-TACN
(0.133 mmol) and benzyl alcohol (0.053mmol). Figure 6.15. Percentage conversion of EB vs time for the copolymerization of: VL, CL
and EB. Conditions: VL (3.99 mmol), CL (3.99mmol), EB (3.99 mmol), TCC (1 mol%,
0.119 mmol), BEMP (1 mol%, 0.119 mmol) and benzyl alcohol (1 mol%, 0.119 mmol). VL had reached full conversion by first interrogation (at 2 min) and CL by third
interrogation (at 5 min). Figure 6.15. Percentage conversion of EB vs time for the copolymerization of: VL, CL
and EB. Conditions: VL (3.99 mmol), CL (3.99mmol), EB (3.99 mmol), TCC (1 mol%,
0.119 mmol), BEMP (1 mol%, 0.119 mmol) and benzyl alcohol (1 mol%, 0.119 mmol). VL had reached full conversion by first interrogation (at 2 min) and CL by third
interrogation (at 5 min). 263 MANUSCRIPT – VII Published in ACS Macromolecules H-bonding Organocatalysts for Ring-Opening Polymerization at Elevated Temperatures – Some Like it Hot Email address: mkiesewetter@chm.uri.edu ABSTRACT The ring-opening polymerization (ROP) kinetics of ε-caprolactone and lactide with various
H-bonding organocatalysts, (thio)ureas paired with an amine cocatalyst, were evaluated at
temperatures up to 110°C. In non-polar solvent, most cocatalyst systems exhibit
decomposition at high temperatures while only two, a mono-urea and bis-urea H-bond
donor plus base cocatalyst, are stable up to 110°C. The onset temperature of cocatalyst
decomposition must be measured under reaction conditions. In polar solvent, when the
more active imidate form of the (thio)urea is favored, most cocatalyst systems become
thermally stable up to 110°C, exhibiting linear Eyring behavior, including some that were
unstable in toluene. The very progress of an ROP is shown to influence the nature of the
catalysts as the solution polarity changes from highly polar (at 0% conversion) to less polar
at full conversion. Activation parameters are discussed, and a mechanistic explanation of
the observations is proposed. 265 INTRODUCTION H-bonding organocatalysts for ring-opening polymerization (ROP) are highly
controlled systems for the synthesis of macromolecules.1–3 This class of catalyst is
constituted by one of a host of H-bond donating moieties (most commonly a thiourea or
urea) and a base cocatalyst, which effect ROP of lactones and carbonates by simultaneous
activation of monomer by (thio)urea and of initiating/propagating alcohol by base.1,4 A
nascent enchainment mechanism whereby base cocatalyst abstracts a proton from
(thio)urea, reversibly generating an imidate catalyst, is thought to be favored under certain
conditions: acidic H-bond donors (e.g. thioureas), strong base cocatalysts and polar
solvent.5–9 Urea H-bond donors have been shown to be more active than the corresponding
thioureas.5,7,10,11 These trends also hold for the multi-(thio)urea H-bond donors developed
for ROP of esters by our group.10,12 For these systems, the bis- or tris-donors are thought
to operate by an activated (thio)urea mechanism where one bis- or tris-donor activates one
monomer, and the internal H-bond stabilization provided by the extra (thio)urea moieties
is thought to be the source of the augmented activity (versus mono-(thio)urea donors).10,12
The active catalytic forms – H-bonding and imidate – are in rapid equilibrium, Figure 7.1,
unless a strong inorganic base (e.g. alkoxide or hydride) is applied, in which case the
imidate is the catalytic species.7,9,10 The active catalytic forms – H-bonding and imidate – are in rapid equilibrium, Figure 7.1,
unless a strong inorganic base (e.g. alkoxide or hydride) is applied, in which case the
imidate is the catalytic species.7,9,10 One advantage of the H-bonding class of catalysts is their efficacy for room temperature
ROP,1 but some applications mandate utilizing catalysts at elevated temperatures. For
example, the solvent-free ROP of lactide (LA) had been identified as a challenge for
organocatalysts.13 The high temperature required to melt the polymer (180°C) typically 266 results in charring when organic catalysts are applied.13 We recently obviated this problem
by conducting the solvent-free ROP of LA in the monomer melt (ROP at 100°C) using a
bisthiourea H-bond donor (2-S, Figure 7.1) and a commercially available alkylamine
base.11 Despite the reaction ‘solution’ solidifying prior to full conversion, the ROP
exhibited characteristics of a ‘living’ polymerization – linear evolution of molecular weight
versus conversion and Mn predictable by [M]o/[I]o.11 Similar behavior was observed for
the ROPs of valerolactone (VL, m.p = -13°C) and caprolactone (CL, m.p. = -1°C), whose
solvent free-ROP can be conducted at room temperature. INTRODUCTION However, one-pot chain
extension under solvent-free conditions proved difficult unless the A block polymer was
melted to achieve homogeneity with the B block monomer. Surprisingly, in neither of
these high temperature applications did we observe catalyst deactivation, which we had
expected to happen.11 H-bonds are known to weaken at elevated temperatures, charring
has been observed in the solvent-free ROP of LA, and, certainly, other organocatalytic
reactions have been observed to suffer deactivation at elevated temperatures.14 Contrary
to catalyst deactivation, the touchstone study of H-bond mediated ROP showed linear
Arrhenius behavior for the 1-S/MTBD cocatalyzed ROP of VL up to 50°C;15 however, we
sought to examine the thermal stability of a host of H-bonding catalysts far above room
temperature. 267 EXPERIMENTAL SECTION General Considerations. All manipulations were performed in an INERT stainless-steel
glovebox equipped with a N2 gas purification system. All chemicals were purchased from
Fisher Scientific and used as received unless stated otherwise. Tetrahydrofuran and
dichloromethane were dried on an Innovative Technologies solvent purification system
with alumina columns and N2 working gas. Benzene-d6, chloroform-d and toluene-d8 were
purchased from Cambridge Isotope Laboratories and distilled from CaH2. δ-valerolactone
(VL; 99%), ε-caprolactone (CL; 99%) and benzyl alcohol were distilled from CaH2 under
reduced pressure. L-lactide was purchased from Acros Organics and recrystallized from
dry toluene. The H-bond donors 1-S, 1-O, 2-S, 2-O, 3-S and 3-O were prepared according
to published procedures.10,12 TCC was purchased from Tokyo Chemical Company and used
as received. NMR experiments were performed on Bruker Avance III 300 MHz or 400
MHz spectrometer. Size exclusion chromatography (SEC) was performed at 40°C using
dichloromethane eluent on an Agilent Infinity GPC system equipped with three Agilent
PLGel columns 7.5 mm × 300 mm (5 μm, pore sizes: 50, 103, 104 Å). Mn and Mw/Mn were
determined versus PS standards (162 g/mol-526 kg/mol, Polymer Laboratories). Example CL Polymerization Experiment. A 7 mL vial was charged with 1-S (16.2 mg,
0.0438 mmol,), MTBD (6.7mg, 0.0438 mmol), benzyl alcohol (0.95 mg, 0.00876 mmol)
and toluene (200 μL). In a second 7 mL vial, CL (100 mg, 0.876 mmol) was dissolved in
toluene (238 μL). The contents of the second vial were transferred to the first via pipette
and stirred until homogenous, approx. 1 min. The vial was capped with a septa cap and
placed in an oil bath heated to 80°C. 50μL aliquots were taken with a fine-needle syringe. 268 The aliquots were quenched using benzoic acid (10.7 mg, 0.0874 mmol) and removed of
volatiles under vacuum. The contents were dissolved in CDCl3, transferred to an NMR tube
via pipette, and monomer conversion was determined by 1H NMR. Eyring plots were
constructed using the observed first order rate constants (kobs) from the equations below. Yield: 89%, Mn = 7,500, Mw/Mn = 1.07. The aliquots were quenched using benzoic acid (10.7 mg, 0.0874 mmol) and removed of
volatiles under vacuum. The contents were dissolved in CDCl3, transferred to an NMR tube
via pipette, and monomer conversion was determined by 1H NMR. Eyring plots were
constructed using the observed first order rate constants (kobs) from the equations below. Yield: 89%, Mn = 7,500, Mw/Mn = 1.07. EXPERIMENTAL SECTION (1) [
]
( )
kobs = kp [benzyl alcohol]o [cocatalysts]o
(2)
Example ROP of lactide. L-lactide (126.26 mg, 0.876 mmol) and methyl isobutyl ketone
(438 μL) were added into a 7 mL vial and stirred until a homogenous solution was obtained. To a second 7 mL vial, benzyl alcohol (0.95 mg, 0.00876 mmol), PMDETA (3.8 mg,
0.0219 mmol) and 2-S (13.5 mg, 0.0219 mmol) were added. Contents from the first vial
were transferred into vial 2 via Pasteur pipette. The vial was capped with a septa cap and
placed in an oil bath heated to 80°C. 50μL aliquots were taken with a fine-needle syringe
periodically. The aliquots were quenched using benzoic acid (5.3 mg, 0.0438 mmol) and
placed in the vacuum oven to remove solvent. The contents were transferred to an NMR
tube via pipette, and monomer conversion was determined by 1H NMR. kobs = kp [benzyl alcohol]o [cocatalysts]o
(2) (2) Example ROP of lactide under solvent free conditions. L-lactide (200 mg, 1.38 mmol), 2-
S (4.3 mg, 0.007 mmol) and benzyl alcohol (1.3 mg, 0.014 mmol) were added into a 7 mL
vial and the contents were stirred at 110oC. PMDETA (5.0 µL, 0.007 mmol) from a 1.4 M
stock solution of PMDETA in toluene was added to the completely melted content in vial
1. Aliquots were taken periodically, quenched using benzoic acid (1.6 mg, 0.013 mmol)
and analyzed by 1H NMR to determine monomer conversion. Yield 90 %, Mn = 18,000
g/mol, Mw/Mn = 1.10. 269 RESULTS AND DISCUSSION The thermal stabilities of various H-bond donors plus MTBD were determined
under ROP conditions in solution. The observed rate constant (kobs) for the first order
evolution of [CL] ([CL]o = 2M, 0.876 mmol) were measured for the H-bond donor/MTBD
cocatalyzed ROP from benzyl alcohol (0.00876 mmol) in toluene at several temperatures
from 22°C to 110°C, Table 7.1, and an Eyring plot was constructed for each cocatalyst
system. These ROP have previously been shown to be first order in [cocatalysts]o and
[initiator]o,
resulting
in
the
rate
equation:
Rate
=
kobs[CL],
kobs
=
kp[cocatalysts]o[initiator]o.10,15–17 The activation parameters of enchainment are
superimposed with those of catalyst dynamics/reagent binding,9,17 and these observed
activation parameters (DH≠obs and DS≠obs) are also given in Table 7.1.18 The concentration
of H-bond donating moiety was held constant between runs. The ROP of CL was chosen
because the slower reaction kinetics (versus VL or lactide) facilitate monitoring by aliquot
or 1H NMR, and the ROP of CL features a high ceiling temperature (Tceil = 261 °C)19,
which suggests that any temperature dependent observations are not due to substantially
diminished enchainment equilibrium constants. For 1-O and 2-O, the Eyring plots are
linear over the entire temperature window whereas all thiourea H-bond donors, in addition
to TCC and 3-O, exhibit curved Eyring plots with a maximum rate achieved at 80°C, Figure
7.2. In the case of 2-S, the reaction progress stops completely after 30 minutes (42 %
conversion) at 110°C. For the H-bond donors that exhibit a non-linear Eyring plot, the reduction in rate at For the H-bond donors that exhibit a non-linear Eyring plot, the reduction in rate at
high temperature is due to catalyst decomposition. A temperature-jump experiment was
conducted for the 1-S/MTBD (0.0438 mmol) cocatalyzed ROP of CL (2 M, 0.876 mmol) 270 from benzyl alcohol (0.00876 mmol) in toluene, where after the first part of the reaction
was conducted at 110°C, the temperature was changed to 80°C resulting in a reduced rate
for the latter portion of the ROP, Figure 7.6. The drop in rate suggests that the catalyst
deactivation observed above 80°C (Eyring plot) is not reversible and is due to
decomposition. Indeed, 1H-NMR analysis after a 1-S/MTBD cocatalyzed ROP in C6D6 (2
h at 110°C) reveals additional aromatic resonances presumably originating from the
decomposition of 1-S. RESULTS AND DISCUSSION Decomposition is also observed when 1-S and MTBD (0.1M each,
C6D6) are heated in the absence of monomer and initiator, but 1-S is stable to 110°C when
heated alone. A non-linear Eyring plot can be associated with an abrupt change in
mechanism.18 However, for (thio)urea/MTBD mediated ROP, the H-bonding and imidate
mechanisms are in equilibrium,7,9 which would be expected to yield a linear Eyring plot.18 Thermogravimetric analysis (TGA, under nitrogen) of H-bond donors in the presence
and absence of MTBD cocatalyst show that catalyst stability must be determined under
reaction conditions. Decomposition onsets for the H-bond donors in the absence of MTBD
ranged from 166 - 256°C (see Table 7.2). In the presence of MTBD, a decrease in
decomposition onset temperature was only seen for TCC, 1-O and 2-O (decreases of 85,
61 and 94°C, respectively). These temperatures do not correlate to the decomposition
evidenced in the Eyring plots. Further, diminished thermal stability in the presence of
MTBD does not indicate which catalysts are most thermally stable under reaction
conditions. For example, the thioureas exhibit curved Eyring plots yet show minimal
change in thermal stability with and without MTBD, and 1-O and 2-O exhibit decreased
onsets in the TGA with MTBD but display linear Eyring behavior. 271 Eyring plots for both TCC and 1-S become linear when the ROP is conducted in polar
solvent, suggesting that the catalysts are more thermally stable under reaction conditions
in polar solvent up to 110°C. The H-bonding catalysts for ROP exhibit a mechanistic
duality that is strongly dictated by solvent, where polar solvent favors imidate mediated
ROP and non-polar solvent favors H-bond mediated enchainment, suggesting the polar
solvent stabilizes the imidate species.7,9 In this study, the more acidic H-bond donors
exhibit curved Eyring plots in toluene.5,20,21 This suggests that catalyst decomposition may
be preceded by proton transfer to form, presumably, (thio)imidate, which decomposes in
toluene. The extent of imidate formation is also dictated by the pKa of the base cocatalyst. When the ROP of CL from benzyl alcohol is catalyzed by TCC/DBU, an attenuation of
catalyst decomposition is observed (Figure 7.15) versus the TCC/MTBD ROP (Figure
7.10). This suggests that the augmented pKa of MTBD (MTBD-H+ pKaMeCN = 25.4)22
versus that of DBU (DBU-H+ pKaMeCN = 24.3)22 favors the formation of imidate, as
previously observed,7 which becomes unstable at elevated temperatures. RESULTS AND DISCUSSION Conducting the ROPs in polar solvent does not yield linear Eyring data for all catalysts
systems. We employed methyl isobutyl ketone (MIBK) as the solvent for our temperature
dependent studies; acetone and THF have previously been used for (thio)imidate-mediated
ROP but are not high boiling.5,7 In MIBK, TCC, 1-S, and 1-O plus MTBD cocatalyzed
ROPs exhibit linear Eyring plots up to 110°C, Figure 7.3 , suggesting enhanced catalyst
stability in polar solvent. TCC or 1-S plus MTBD displayed non-linear Eyring behavior in
toluene. However, the first order consumption of monomer plots for the 1-S, 2-S or 3-O
plus MTBD cocatalyzed ROPs of CL (0.876 mmol) from benzyl alcohol (0.00876 mmol)
at 110°C deviate from linearity, which suggests some catalyst decomposition. Except for 272 the 1-S, 2-S or 3-O plus MTBD cocatalyzed ROPs of CL at 110°C, the ROP display linear
first order consumption of monomer to >75% conversion. The 2-O, 2-S and 3-O plus
MTBD cocatalyzed ROP of CL in MIBK do not exhibit linear Eyring, suggesting
decomposition is still occurring on the timescale of the ROP despite the stabilization
provided by polar solvent to the imidate species. Reaction Mechanism. Temperature dependent 1H NMR studies corroborate an H-
bonding mechanism for H-bond donors in non-polar solvent and an imidate mechanism for
H-bond donors in polar solvent. 1H NMR spectra of a 1-S/MTBD (0.1 M) solution in C6D6
shows that the 1-S resonances are shifted downfield in the presence of MTBD, which
suggests H-bonding.17 With increasing temperature (<110°C), the 1-S 1H NMR resonances
(when mixed with MTBD) shift upfield, indicating an exothermic binding (DHo = -
10.7±2.0 kcal/mol)17 and weaker H-bonding at higher temperatures.17 Binding to monomer
is also exothermic.15,17 These observations suggest that Arrhenius reaction acceleration
outpaces the weakening of H-bonding resulting in faster ROP until catalyst decomposition
>80°C. The upfield shift of 1-S resonances upon heating does not indicate the assumption
of imidate character; at 110°C (the highest temperature recorded), the 1-S resonances (with
MTBD) remain downfield of the 1-S resonances in the absence of MTBD. The same trend
is observed for 1-O plus MTBD in C6D6 upon heating. This suggests that H-bonding
remains the dominate mechanistic form for (thio)urea H-bond donors with MTBD in C6D6
at all temperatures. RESULTS AND DISCUSSION In contrast, 1-O plus MTBD in acetone-d6 show 1-O resonances with
an upfield chemical shift versus 1-O in the absence of MTBD, and this chemical shift is
not a function of temperature (25-60°C, Δppm < 0.1). The relatively static chemical shift 273 suggests that the extent of imidate formation is not highly sensitive to temperature and that
higher rates of ROP are thermal in nature (i.e. high rates are not due to higher [imidate]). Lower activation barriers in polar solvent do not translate to faster ROP. The
thiourea H-bond donors experience deactivation in polar solvent versus non-polar solvent
whereas urea H-bond donors experience minimal change in rate between the two solvents
or, in the case of 1-O/MTBD and particularly 3-O/MTBD, exhibit faster rates in polar
solvent. This behavior has been described elsewhere.7 Oddly, the DH≠obs in toluene are
generally larger than in MIBK. This suggests that despite the generally lower rates in
MIBK, the activation barrier for enchainment in MIBK is lower than in toluene. One
explanation for lower DH≠obs in polar (versus non-polar) solvent, associated with lower
DS≠obs, is the involvement of solvent in the rate determining step.18 An alternate
explanation that must be considered is that the small magnitude of the drop in activation
entropy (from toluene to MIBK) is simply due to the tighter association of the cocatalyst
ion-pair in an imidate mechanism. Despite the high activity of imidate mediated ROP, the reactions remain highly
controlled at room temperature, and the extent of imidate formation appears to be highly
sensitive to solvent polarity including the polarity of the evolving reaction solution. RESULTS AND DISCUSSION We
have previously shown that the highly active imidate forms of H-bond donors are in
equilibrium with the less active neutral species,7 and a larger upfield shift (more imidate
character) can be observed with stronger organic bases upon a single H-bond donor or with
a more acidic H-bond donor with a single base.7,9 A similar effect has been reported where
polar solvent favors an imidate mechanism and non-polar solvent favors an H-bonding
mechanism.9 The polarity of the bulk solution is expected to drop during the course of the 274 polymerization as closed, s-cis lactone is converted to open, s-trans lactone; indeed, the
higher polarity of lactones versus s-trans esters has been used to justify the selectivity
exhibited by thioureas (and presumably ureas) for the activation of monomer versus
polymer.15 The 1H NMR spectra of TCC plus MTBD (0.0438 mmol each) in CDCl3 were
recorded at room temperature in the presence of varying amounts of CL (2 M – 0.25 M) in
the absence of initiator, conditions under which no ROP is observed, Figure 7.7. The
resonances of TCC move upfield in the presence of MTBD but move back downfield with
reduced monomer concentration, indicating less imidate character with reduced monomer
concentrations. These observations may explain why urea imidate mediated ROP can be
highly active – more active than the structurally similar TBD – but be more controlled. We
proposed that the catalyst system deactivates during the course of the ROP by forming less
imidate character. This hypothesis will have to be borne out by future studies. ROP of Lactide. Temperature dependent kinetics suggest that 2-S/PMDETA
cocatalyzed ROP of L-lactide (LA) experiences enhanced thermal stability when solvent-
free (deactivation > 110°C) versus in polar solvent (deactivation > 80°C). For the
(thio)urea/base mediated ROP of LA, weak base cocatalysts are optimal for ROP. Under
these weakly basic conditions, only an H-bond mediated enchainment pathway is thought
to occur.11,16 Our group recently disclosed that 2-S/PMDETA was optimal – in terms of
rate and isotacticity – for the solvent-free ROP of LA,11 and this was the only catalyst
system whose temperature dependent kinetics were examined herein. RESULTS AND DISCUSSION We have previously
shown that the (thio)urea/base cocatalyzed solvent-free ROP of LA can be conducted in
the monomer melt and exhibits the characteristics of a ‘living’ ROP despite solidifying
prior to full conversion.11 Consistent with previous solution studies, the Eyring analysis of 275 the 2-S/PMDETA (0.0219 mmol each) cocatalyzed ROP of LA (2M, 0.876 mmol) from
benzyl alcohol (0.00876 mmol) showed non-linear behavior above 80°C in MIBK, Figure
7.19, suggesting catalyst deactivation arising from decomposition. Previous studies
showed deactivation at high temperature of the same polymerization in CHCl3, toluene and
acetone.11 Under solvent-free conditions, the Eyring plot for the 2-S/PMDETA
cocatalyzed ROP of LA from benzyl alcohol indicates deactivation at elevated temperature,
with a maximum observed rate at 110°C. This coincidental elevation in decomposition
onset facilitates the solvent-free ROP of LA just above the monomer melting point (Tm =
97°C)13. The solvent-free ROP of LA at 110°C remains highly controlled, [M]o/[I]o = 100
yields Mn = 18,000 g/mol, Mw/Mn = 1.10. Polymer Molecular Weight and Dispersity. The extent of reaction control is
reduced at elevated temperatures, but 3-O/MTBD remains among the most active and
controlled organocatalysts for ROP even at high temperature. The ‘living’ character of the
H-bond donor/MTBD cocatalyzed ROP at room temperature in non-polar and polar solvent
as well as solvent-free has been described previously.5–7,10 For the 1-S/MTBD (0.0438
mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl alcohol in toluene, the
Mw/Mn increases with temperature (at 80°C, [M]o/[I]o = 100, Mn = 20,000, Mw/Mn = 1.10;
at 110°C, [M]o/[I]o = 50 Mn = 9,900, Mw/Mn = 1.17), but both of these ROP are more
controlled than the comparable ROP in MIBK (MIBK: at 80°C, [M]o/[I]o = 100, Mn =
13,500, Mw/Mn = 1.24; at 110°C: [M]o/[I]o = 50, Mn = 6,200, Mw/Mn = 1.28). This trend
is also observed for 2-O/MTBD mediated ROP of CL, which produces a linear Eyring plot
in toluene. This suggests that the extent of reaction control is not related to the thermal
stability of a cocatalyst system. For the catalyst systems examined, the ROP retain the 276 characteristics of a ‘living’ polymerization, except for 2-O/MTBD at 110°C, whose Mn
versus conversion becomes non-linear late in the reaction (Figure 7.49). Some reduction
in control undoubtedly arises from non-H-bond donor mediated ROP. RESULTS AND DISCUSSION At >80°C, MTBD
(0.044 mmol) effects the slow ROP of CL (2 M, 0.876 mmol) in the absence of H-bond
donor to 10% conversion in 6 h, after which point conversion stalls. The MTBD mediated
ROP of lactones (no H-bond donor) has been shown to exhibit less control than those in
the presence of an H-bond donor.23 These observations suggest that, to some extent,
reaction control (narrow Mw/Mn and predictable Mn) can be maximized if the ROP reaches
full conversion before catalyst decomposition or other side reactions become prominent. The Mn and Mw/Mn produced by the several cocatalyst systems at 80°C are shown in Table 7.3. In contrast, the 3-O/MTBD cocatalyzed ROP of CL – which is one of the most
active organocatalytic systems for ROP – exhibits a curved Eyring plot in toluene (and
MIBK) but shows excellent reaction control even at 110°C, Figure 7.5 (toluene, 95%
conversion, 60 min, Mn = 18,900 g/mol, Mw/Mn = 1.05). At a lower temperature, the
reaction is more active and possibly more controlled (80°C, 99% conversion, 60 min, Mn
= 21,900 g/mol, Mw/Mn = 1.03). 1H NMR analysis of 3-O plus MTBD (33 mM each) in
acetone-d6 at 60oC, a temperature at which non-Arrhenius behavior is observed, provides
no evidence of decomposition over 5 h. Rather, we attribute the non-linearity in the 3-
O/MTBD cocatalyzed Eyring analysis to H-bond donor dynamics where the number of
urea moieties engaged in catalysis, and the nature of their interactions with substrate, may
be a function of temperature. 277 CONCLUSION For those seeking to employ H-bond donating catalysts for ROP, 3-O/MTBD may
be the most reliable system; it exhibits fast rates, excellent control and good thermal
stability with insensitivity to reaction conditions. The thermal stability of H-bond donating
organocatalyst systems for ROP must be determined under reaction conditions. Except 2-
S or 3-O plus MTBD in MIBK, all cocatalysts examined are thermally stable ≤80°C in
polar and non-polar solvent, but conducting ROP in polar solvent can extend thermal
stability to 110°C for some systems. However, reaction control – as measured by Mw/Mn
– deteriorates at elevated temperatures, especially in polar solvent. The one exception
appears to be 3-O/MTBD, which produces a highly controlled and rapid ROP at all
temperatures in non-polar solvents and solvent-free. The 3-O/MTBD system is
particularly intriguing because it produces the fastest rates and best control despite
exhibiting a non-linear Eyring plot. The diversity of conditions under which the H-bonding catalysts for ROP are operable is
attributable to their mechanistic duality where non-polar solvent and weakly acidic H-bond
donors favor an H-bonding mechanism, and polar solvent and more acidic H-bond donors
favor an imidate mechanism. In toluene (H-bonding favored), high temperatures (≥80°C)
may facilitate proton transfer to form the (thio)imidate species, which is unstable and
results in catalyst decomposition. In polar solvent, [imidate] is insensitive to reaction
temperature. The H-bonding class of organocatalysts for ROP constitutes a platform for
macromolecule synthesis that is operable under diverse experimental conditions. Indeed,
the very progress of the ROP changes the effective [imidate] by modulating the polarity of 278 the reaction solution. The robustness of these catalysts belies the complicated nature of
their discharge, our understanding of which and our concomitant synthetic abilities
continue to evolve through targeted study. 279 (8)
Zhang, X.; Jones, G. O.; Hedrick, J. L.; Waymouth, R. M. Fast and Selective Ring- Zhang, X.; Jones, G. O.; Hedrick, J. L.; Waymouth, R. M. Fast and Selective Ring LIST OF REFERENCES (1)
Kamber, N. E.; Jeong, W.; Waymouth, R. M.; Pratt, R. C.; Lohmeijer, B. G. G.;
Hedrick, J. L. Organocatalytic Ring-Opening Polymerization. Chem. Rev. 2007,
107 (12), 5813–5840. (2)
Kiesewetter, M. K.; Shin, E. J.; Hedrick, J. L.; Waymouth, R. M. Organocatalysis:
Opportunities and Challenges for Polymer Synthesis. Macromolecules 2010, 43
(5), 2093–2107. (3)
Dove, A. P. Metal-Free Catalysis in Ring-Opening Polymerization. In Handbook
of Ring-Opening Polymerization; Dubois, P., Coulembier, O., Raquez, J.-M., Eds.;
Wiley-VCH: Federal Republic of Germany, 2009; pp 357–378. (4)
Thomas, C.; Bibal, B. Hydrogen-Bonding Organocatalysts for Ring-Opening
Polymerization. Green Chem. 2014, 16 (4), 1687. (5)
Lin, B.; Waymouth, R. M. Organic Ring-Opening Polymerization Catalysts:
Reactivity Control by Balancing Acidity. Macromolecules 2018, 51 (8), 2932–
2938. (6)
Lin, B.; Waymouth, R. M. Urea Anions: Simple, Fast, and Selective Catalysts for
Ring-Opening Polymerizations. J. Am. Chem. Soc. 2017, 139, 1645–1652. (7)
Dharmaratne, N. U.; Pothupitiya, J. U.; Bannin, T. J.; Kazakov, O. I.; Kiesewetter,
M. K. Triclocarban: Commercial Antibacterial and Highly Effective H-Bond
Donating Catalyst for Ring-Opening Polymerization. ACS Macro Lett. 2017, 6 (4),
421–425. (8)
Zhang, X.; Jones, G. O.; Hedrick, J. L.; Waymouth, R. M. Fast and Selective Ring- (8) 280 Opening Polymerizations by Alkoxides and Thioureas. Nat. Chem. 2016, 8, 1047–
1053. (9)
Pothupitiya, J. U.; Hewawasam, R. S.; Kiesewetter, M. K. Urea and Thiourea H-
Bond Donating Catalysts for Ring-Opening Polymerization: Mechanistic Insights
via (Non)Linear Free Energy Relationships. Macromolecules 2018, No. 51, 3203–
3211. (9) (10) Fastnacht, K. V.; Spink, S. S.; Dharmaratne, N. U.; Pothupitiya, J. U.; Datta, P. P.;
Kiesewetter, E. T.; Kiesewetter, M. K. Bis- and Tris-Urea H-Bond Donors for
Ring-Opening Polymerization: Unprecedented Activity and Control from an
Organocatalyst. ACS Macro Lett. 2016, 5 (8), 982–986. (11) Pothupitiya, J. U.; Dharmaratne, N. U.; Jouaneh, T. M. M.; Fastnacht, K. V.;
Coderre, D. N.; Kiesewetter, M. K. H-Bonding Organocatalysts for the Living,
Solvent-Free Ring-Opening Polymerization of Lactones: Toward an All-Lactones,
All-Conditions Approach. Macromolecules 2017, 50, 8948–8954. All-Conditions Approach. Macromolecules 2017, 50, 8948–8954. (12) Spink, S. S.; Kazakov, O. I.; Kiesewetter, E. T.; Kiesewetter, M. K. Rate
Accelerated Organocatalytic Ring-Opening Polymerization of l-Lactide via the
Application of a Bis(Thiourea) H-Bond Donating Cocatalyst. Macromolecules
2015, 48 (17), 6127–6131. (13) Mezzasalma, L.; Dove, A. P.; Coulembier, O. Organocatalytic Ring-Opening
Polymerization of L-Lactide in Bulk: A Long Standing Challenge. Eur. Polym. J. 2017, 95 (May), 628–634. (14) Dudziński, K.; Pakulska, A. M.; Kwiatkowski, P. LIST OF REFERENCES An Efficient Organocatalytic
Method for Highly Enantioselective Michael Addition of Malonates to Enones 281 Catalyzed by Readily Accessible Primary Amine-Thiourea. Org. Lett. 2012, 14
(16), 4222–4225. (15) Lohmeijer, B. G. G.; Pratt, R. C.; Leibfarth, F.; Logan, J. W.; Long, D. A.; Dove,
A. P.; Nederberg, F.; Choi, J.; Wade, C.; Waymouth, R. M.; et al. Guanidine and
Amidine Organocatalysts for Ring-Opening Polymerization of Cyclic Esters. Macromolecules 2006, 39 (25), 8574–8583. (16) Kazakov, O. I.; Kiesewetter, M. K. Cocatalyst Binding Effects in Organocatalytic
Ring-Opening Polymerization of l -Lactide. Macromolecules 2015, 48 (17), 6121–
6126. (17) Kazakov, O. I.; Datta, P. P.; Isajani, M.; Kiesewetter, E. T.; Kiesewetter, M. K. Cooperative Hydrogen-Bond Pairing in Organocatalytic Ring-Opening
Polymerization. Macromolecules 2014, 47 (21), 7463–7468. (18) Espenson, J. H. Chemical Kinetics and Reaction Mechanism, 2nd ed.; McGraw-
Hill Book Co: New York, 2002. (19) Duda, A.; Kowalski, A. Thermodynamics and Kinetics of Ring-Opening
Polymerization. In Handbook of Ring-Opening Polymerization; Dubois, P.,
Coulembier, O., Raquez, J.-M., Eds.; Wiley-VCH Verlag GmbH & Co. KGaA,
2009; pp 1–52. (20) Bordwell, F. G.; Ji, G. Z. Effects of Structural Changes on Acidities and
Homolytic Bond Dissociation Energies of the H-N Bonds in Amidines,
Carboxamides, and Thiocarboxamides. J. Am. Chem. Soc. 1991, 113 (22), 8398–
8401. (21) The pKa of TCC and 3-O are not known, but we presume higher acidity of TCC (21) The pKa of TCC and 3-O are not known, but we presume higher acidity of TCC 282 versus 1-O due to Hammett effects. The internal H-bond stabilization is expected
to render 3-O more acidic than the parent mono-urea. versus 1-O due to Hammett effects. The internal H-bond stabilization is expected
to render 3-O more acidic than the parent mono-urea. (22) Kaljurand, I.; Kütt, A.; Sooväli, L.; Rodima, T.; Mäemets, V.; Leito, I.; Koppel, I. A. Extension of the Self-Consistent Spectrophotometric Basicity Scale in
Acetonitrile to a Full Span of 28 PKa Units: Unification of Different Basicity
Scales. J. Org. Chem. 2005, 70 (3), 1019–1028. (23) Datta, P. P.; Kiesewetter, M. K. Controlled Organocatalytic Ring-Opening
Polymerization of ε-Thionocaprolactone. Macromolecules 2016, 49 (3), 774–780. LIST OF REFERENCES 283 toluene
methyl isobutyl ketone
Donor
DH≠obs
(kcal/mol)
DS≠obs
(cal/mol K)
kobs
(1/min)a
DH≠obs
(kcal/mol)
DS≠obs
(cal/mol K)
kobs
(1/min)a
1-Sb
6.13 ± 0.40
-52 ± 46
0.0018
5.22 ± 0.77
-56 ± 45
0.0008
2-Sb,c
6.21 ± 0.66
-46 ± 45
0.0065
4.24 ± 0.74
-57 ± 45
0.0027
3-Sb
8.59 ± 0.53
-46 ± 46
0.0006
--
--
--
1-O
5.66 ± 0.54
-42 ± 46
0.0015
3.53 ± 0.26
-59 ± 46
0.0023
2-Oc
4.00 ± 0.59
-55 ± 45
0.0074
3.3 ± 0.26
-58 ± 46
0.0076
3-Ob,d
2.17 ± 0.18
-58 ± 47
0.0323
4.59 ± 1.27
-48 ± 43
0.1134
TCCb
5.32 ± 0.95
-50 ± 44
0.0121
5.37 ± 0.49
-50 ± 46
0.0115
Table 7.1. Activation Parameters for H-bond Donor/MTBD Cocatalyzed ROP of CL. Reaction conditions: CL (2M, 0.876 mmol), benzyl alcohol (0.00876 mmol), 1-X, 2-X, 3-
X and TCC (0.0438 mmol, 0.0219 mmol, 0.0146 mmol and 0.0438 mmol) MTBD toluene
methyl isobutyl ketone
Donor
DH≠obs
(kcal/mol)
DS≠obs
(cal/mol K)
kobs
(1/min)a
DH≠obs
(kcal/mol)
DS≠obs
(cal/mol K)
kobs
(1/min)a
1-Sb
6.13 ± 0.40
-52 ± 46
0.0018
5.22 ± 0.77
-56 ± 45
0.0008
2-Sb,c
6.21 ± 0.66
-46 ± 45
0.0065
4.24 ± 0.74
-57 ± 45
0.0027
3-Sb
8.59 ± 0.53
-46 ± 46
0.0006
--
--
--
1-O
5.66 ± 0.54
-42 ± 46
0.0015
3.53 ± 0.26
-59 ± 46
0.0023
2-Oc
4.00 ± 0.59
-55 ± 45
0.0074
3.3 ± 0.26
-58 ± 46
0.0076
3-Ob,d
2.17 ± 0.18
-58 ± 47
0.0323
4.59 ± 1.27
-48 ± 43
0.1134
TCCb
5.32 ± 0.95
-50 ± 44
0.0121
5.37 ± 0.49
-50 ± 46
0.0115 methyl isobutyl ketone Table 7.1. Activation Parameters for H-bond Donor/MTBD Cocatalyzed ROP of CL. Reaction conditions: CL (2M, 0.876 mmol), benzyl alcohol (0.00876 mmol), 1-X, 2-X, 3-
X and TCC (0.0438 mmol, 0.0219 mmol, 0.0146 mmol and 0.0438 mmol) MTBD
(matched to H-bond donor mmol). a) 40°C. b) Non-linear Eyring plot in toluene;
activation parameters extracted from the linear portion. c) Non-linear Eyring plot in
MIBK, activation parameters extracted from the linear portion. d) The rate of ROP of CL
catalyzed by 3-O/MTBD in MIBK is significantly faster than in toluene even though the
Eyring plot is non-linear. LIST OF REFERENCES 284 catalyst
decomposition
temperature
onset (°C)
decomposition
temperature onset
w/ MTBD (°C)
1-S
166
168
1-O
212
151
TCC
247
162
2-S
172
NA
2-O
256
162
3-S
187
196 catalyst
decomposition
temperature
onset (°C)
decomposition
temperature onset
w/ MTBD (°C)
1-S
166
168
1-O
212
151
TCC
247
162
2-S
172
NA
2-O
256
162
3-S
187
196 Table 7.2. Thermal Decomposition of H-bond Donors With and Without MTBD. TGA
conditions: Sample size ~7 mg were placed in aluminum pans. Start at 25°C, ramp to
500°C at 10°C/min, held for 5 minutes. N2 gas flow rate of 10 mL/min. Catalyst samples
were weighed from bulk samples. H-bond donor/base 1:1 mixtures were first dissolved in
dichloromethane and solvent removed under vacuum. Remaining thick oil was used for
samples. 285 285 Toluene
MIBK
Time
(min)
Conv.a
Mn b
Mw/Mn b
Time
(min)
Conv.a
Mn b
Mw/Mn b
1-S
360
90
19,200
1.07
950
91
13,500
1.24
1-O
335
89
18,000
1.14
880
98
10,700
1.40
2-Sc
170
91
14,000
1.17
1600
83
9,600
1.17
2-O
120
89
11,500
1.19
260
91
8,800
1.24
3-S
960
89
12,600
1.08
4,900
41
4,200
1.13
3-O
40
90
19,000
1.04
15
91
14,300
1.10
TCC
61
90
16,800
1.17
65
94
11,100
1.28
Table 7.3. Mn and Mw/Mn for polymerizations conducted at 80°C. Reaction conditions:
CL (2M, 0.876 mmol), benzyl alcohol (0.00876 mmol), 1-X, 2-X, 3X and TCC (0.0438
mmol 0 0219 mmol 0 0146 mmol and 0 0438 mmol) MTBD (matched to H bond donor Toluene
MIBK
Time
(min)
Conv.a
Mn b
Mw/Mn b
Time
(min)
Conv.a
Mn b
Mw/Mn b
1-S
360
90
19,200
1.07
950
91
13,500
1.24
1-O
335
89
18,000
1.14
880
98
10,700
1.40
2-Sc
170
91
14,000
1.17
1600
83
9,600
1.17
2-O
120
89
11,500
1.19
260
91
8,800
1.24
3-S
960
89
12,600
1.08
4,900
41
4,200
1.13
3-O
40
90
19,000
1.04
15
91
14,300
1.10
TCC
61
90
16,800
1.17
65
94
11,100
1.28 Table 7.3. Mn and Mw/Mn for polymerizations conducted at 80°C. Reaction conditions:
CL (2M, 0.876 mmol), benzyl alcohol (0.00876 mmol), 1-X, 2-X, 3X and TCC (0.0438
mmol, 0.0219 mmol, 0.0146 mmol and 0.0438 mmol) MTBD (matched to H-bond donor
mmol). a. Conversion determined by 1H NMR. b. Mn and Mw/Mn determined by GPC. c. 2-S in MIBK at 60°C. 286 Figure 7.1. H-bonding and imidate mediated ROP of CL. LIST OF REFERENCES N
H
N
H
CF3
F3C
X
N
H
N
H
CF3
F3C
X
N
H
N
H
CF3
CF3
X
N
N
H
N
H
X
N
H
N
H
X
HN
HN
X
CF3
CF3
CF3
F3C
CF3
CF3
1-S: X = S
1-O: X = O
2-S: X = S
2-O: X = O
N
H
N
H
O
Cl
Cl
Cl
N
N
N
N
N
N
MTBD
PMDETA
3-S: X = S
3-O: X = O
TCC
N
N
DBU Figure 7.1. H-bonding and imidate mediated ROP of CL. 287 287 Figure 7.2. Eyring plots for the ROP of CL from benzyl alcohol in toluene catalyzed by
(upper) TCC/MTBD and (lower) 2 O/MTBD
Reaction Conditions: CL (2M 0 876
-10.8
-10.4
-10
-9.6
-9.2
-8.8
0.0025
0.0027
0.0029
0.0031
0.0033
0.0035
ln(k/T)
1/T (1/K)
y = -2011.6x - 4.1662
-11.2
-10.8
-10.4
-10
-9.6
-9.2
0.0025
0.0027
0.0029
0.0031
0.0033
0.0035
ln(k/T)
1/T (1/K) 8 8
0.0025
0.0027
0.0029
0.0031
0.0033
0.0035 y = -2011.6x - 4.1662
-11.2
-10.8
-10.4
-10
-9.6
-9.2
0.0025
0.0027
0.0029
0.0031
0.0033
0.0035
ln(k/T)
1/T (1/K) Figure 7.2. Eyring plots for the ROP of CL from benzyl alcohol in toluene catalyzed by
(upper) TCC/MTBD, and (lower) 2-O/MTBD. Reaction Conditions: CL (2M, 0.876
mmol), H-bond donor/MTBD (TCC 0.0438 mmol, 2-O 0.0219 mmol, [MTBD]o matched
to H-bond donor) from benzyl alcohol (0.00876 mmol) in toluene. 288 -11
-10.5
-10
-9.5
-9
-8.5
-8
0.0025
0.003
0.0035
ln(k/T)
1/T (1/K)
Toluene
MIBK -11
-10.5
-10
-9.5
-9
-8.5
-8
0.0025
0.003
0.0035
ln(k/T)
1/T (1/K)
Toluene
MIBK Figure 7.3. Eyring plot for the TCC/MTBD (0.0438 mmol) cocatalyzed ROP of CL (2M,
0.876 mmol) from benzyl alcohol (0.00876 mmol) in toluene and MIBK solvent. Figure 7.4. Eyring plot for the solvent-free ROP of LA (1.380 mmol) from benzyl alcohol
(0.014 mmol) catalyzed by 2-S/PMDETA (0.007 mmol each). -8.7
-8.6
-8.5
-8.4
-8.3
-8.2
-8.1
0.0024
0.0025
0.0026
0.0027
ln(k/T)
1/T (1/K) Figure 7.4. Eyring plot for the solvent-free ROP of LA (1.380 mmol) from benzyl alcohol
(0.014 mmol) catalyzed by 2-S/PMDETA (0.007 mmol each). 289 Figure 7.5. Mn and Mw/Mn versus conversion plot for the 3-O/MTBD cocatalyzed ROP of
CL from benzyl alcohol in toluene at 110°C. LIST OF REFERENCES 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
0
0.5
1
Mw/Mn
Mn (g/mol)
fractional conversion 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
0
0.5
1
Mw/Mn
Mn (g/mol)
fractional conversion Figure 7.5. Mn and Mw/Mn versus conversion plot for the 3-O/MTBD cocatalyzed ROP of
CL from benzyl alcohol in toluene at 110°C. 290 Figure 7.6. (upper) Temperature drop ROP of CL (2M, 0.876 mmol) in toluene, 1-S/MTBD
y = 0.0038x + 0.2028
y = 0.0013x + 0.7814
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
0
100
200
300
400
500
ln([M]o/[M])
Time (min) Figure 7 6 (upper) Temperature drop ROP of CL (2M 0 876 mmol) in toluene 1
y = 0.0038x + 0.2028
y = 0.0013x + 0.7814
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
0
100
200
300
400
500
ln([M]o/[M])
Time (min) y = 0.0038x + 0.2028
y = 0.0013x + 0.7814
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
0
100
200
300
400
500
ln([M]o/[M])
Time (min) y = 0.0013x + 0.7814 Time (min) Figure 7.6. (upper) Temperature drop ROP of CL (2M, 0.876 mmol) in toluene, 1-S/MTBD Figure 7.6. (upper) Temperature drop ROP of CL (2M, 0.876 mmol) in toluene, 1-S/MTBD
(0.0438 mmol each) cocatalyzed from benzyl alcohol (0.00876 mmol). A decrease in kobs
from 0.0038 min-1 to 0.0013 min-1 is observed after the temperature change from 110°C
(red) to 80°C (blue). Reaction progression tracked by aliquot, and conversion was
determined by 1H NMR. (lower) 1H NMR (400 MHz, benzene-d6) of the ROP of CL (0.876
mmol, 2M), benzyl alcohol (0.00876 mmol), 1-S/MTBD (0.0438 mmol each). Top image
shows the aromatic region of the 1H NMR of 1-S. Bottom image shows a second set of
aromatic resonances after 2 h of heating at 110°C. Figure 7.6. (upper) Temperature drop ROP of CL (2M, 0.876 mmol) in toluene, 1-S/MTBD
(0.0438 mmol each) cocatalyzed from benzyl alcohol (0.00876 mmol). A decrease in kobs
from 0.0038 min-1 to 0.0013 min-1 is observed after the temperature change from 110°C
(red) to 80°C (blue). Reaction progression tracked by aliquot, and conversion was
determined by 1H NMR. LIST OF REFERENCES (lower) 1H NMR (400 MHz, benzene-d6) of the ROP of CL (0.876
mmol, 2M), benzyl alcohol (0.00876 mmol), 1-S/MTBD (0.0438 mmol each). Top image
shows the aromatic region of the 1H NMR of 1-S. Bottom image shows a second set of
aromatic resonances after 2 h of heating at 110°C. (0.0438 mmol each) cocatalyzed from benzyl alcohol (0.00876 mmol). A decrease in kobs
from 0.0038 min-1 to 0.0013 min-1 is observed after the temperature change from 110°C
(red) to 80°C (blue). Reaction progression tracked by aliquot, and conversion was
determined by 1H NMR. (lower) 1H NMR (400 MHz, benzene-d6) of the ROP of CL (0.876
mmol, 2M), benzyl alcohol (0.00876 mmol), 1-S/MTBD (0.0438 mmol each). Top image
shows the aromatic region of the 1H NMR of 1-S. Bottom image shows a second set of
aromatic resonances after 2 h of heating at 110°C. 291 Figure 7.7. 1H NMR spectra of TCC/MTBD (0.00438 mmol each) cocatalyst in the
presence of varying [CL] (0.25-2M) in CDCl3. Figure 7.7. 1H NMR spectra of TCC/MTBD (0.00438 mmol each) cocatalyst in the
presence of varying [CL] (0.25-2M) in CDCl3. 292 EYRING DATA IN TOLUENE y = -3124.3x - 0.7957
-11.6
-11.4
-11.2
-11
-10.8
-10.6
-10.4
-10.2
-10
-9.8
-9.6
-9.4
0.0028 0.0029 0.003 0.0031 0.0032 0.0033 0.0034 0.0035
ln(k/T)
1/T(1/K) 9 4
0.0028 0.0029 0.003 0.0031 0.0032 0.0033 0.0034 0.0035 Figure 7.8. Eyring plot constructed from the linear portion of the observed first order rate
constants for the 2-S/MTBD (0.0219 mmol each) cocatalyzed ROP of CL (0.876 mmol,
2M) from benzyl alcohol (0.00876 mmol) in toluene. Figure 7.9. Eyring plot constructed from the observed first order rate constants for the 1-
O/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. y = -2280.8x - 4.8548
-12.7
-12.5
-12.3
-12.1
-11.9
-11.7
-11.5
-11.3
-11.1
-10.9
-10.7
-10.5
0.0024 0.0026 0.0028
0.003
0.0032 0.0034 0.0036
ln(k/T)
1/T(1/K) y = -2280.8x - 4.8548
-12.7
-12.5
-12.3
-12.1
-11.9
-11.7
-11.5
-11.3
-11.1
-10.9
-10.7
-10.5
0.0024 0.0026 0.0028
0.003
0.0032 0.0034 0.0036
ln(k/T)
1/T(1/K) Figure 7.9. Eyring plot constructed from the observed first order rate constants for the 1-
O/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. Figure 7.9. Eyring plot constructed from the observed first order rate constants for the 1-
O/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. 293 8 8
0.0025
0.0027
0.0029
0.0031
0.0033
0.0035 -10.8
-10.6
-10.4
-10.2
-10
-9.8
-9.6
-9.4
-9.2
-9
-8.8
0.0025
0.0027
0.0029
0.0031
0.0033
0.0035
ln(k/T)
1/T (1/K) Figure 7.10. Eyring plot constructed from the observed first order rate constants for the
TCC/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. Figure 7.10. Eyring plot constructed from the observed first order rate constants for the
TCC/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. -13
-12.8
-12.6
-12.4
-12.2
-12
-11.8
-11.6
-11.4
-11.2
-11
-10.8
0.0024
0.0026
0.0028
0.003
0.0032
0.0034
0.0036
ln(k/T)
1/T (1/K) Figure 7.11. Eyring plot constructed from the observed first order rate constants for the 1-
S/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. Figure 7.11. EYRING DATA IN TOLUENE Eyring plot constructed from the observed first order rate constants for the 1-
S/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. 294 10
0.0024 0.0026 0.0028 0.003 0.0032 0.0034 0.0036 -14
-13.6
-13.2
-12.8
-12.4
-12
-11.6
-11.2
-10.8
-10.4
-10
0.0024 0.0026 0.0028 0.003 0.0032 0.0034 0.00
ln(k/T)
1/T (1/K) Figure 7.12. Eyring plot constructed from the observed first order rate constants for the 3-
S/MTBD (0.0146 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. Figure 7.12. Eyring plot constructed from the observed first order rate constants for the 3-
S/MTBD (0.0146 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. Figure 7.13. Eyring plot constructed from the observed first order rate constants for the 2-
O/MTBD (0.0219 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. y = -2011.6x - 4.1662
-11.2
-11
-10.8
-10.6
-10.4
-10.2
-10
-9.8
-9.6
-9.4
-9.2
0.0024
0.0026
0.0028
0.003
0.0032
0.0034
0.0036
ln(k/T)
1/T (1/K) y = -2011.6x - 4.1662
-11.2
-11
-10.8
-10.6
-10.4
-10.2
-10
-9.8
-9.6
-9.4
-9.2
0.0024
0.0026
0.0028
0.003
0.0032
0.0034
0.0036
ln(k/T)
1/T (1/K) Figure 7.13. Eyring plot constructed from the observed first order rate constants for the 2-
O/MTBD (0.0219 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. Figure 7.13. Eyring plot constructed from the observed first order rate constants for the 2-
O/MTBD (0.0219 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. 295 -9.4
-9.3
-9.2
-9.1
-9
-8.9
-8.8
-8.7
-8.6
-8.5
0.0024
0.0029
0.0034
0.0039
ln(k/T)
1/T (1/K) -9.4
-9.3
-9.2
-9.1
-9
-8.9
-8.8
-8.7
-8.6
-8.5
0.0024
0.0029
0.0034
0.0039
ln(k/T)
1/T (1/K) Figure 7.14. Eyring plot constructed from the observed first order rate constants for the 3-
O/MTBD (0.0146 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. Figure 7.14. Eyring plot constructed from the observed first order rate constants for the 3-
O/MTBD (0.0146 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. EYRING DATA IN TOLUENE -12.2
-12
-11.8
-11.6
-11.4
-11.2
-11
-10.8
-10.6
-10.4
0.0024 0.0026 0.0028 0.003 0.0032 0.0034 0.0036
ln(k/T)
1/T (1/K) Figure 7.15. Eyring plot constructed from the observed first order rate constants for the
TCC/DBU (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. Figure 7.15. Eyring plot constructed from the observed first order rate constants for the
TCC/DBU (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol, 2M) from benzyl
alcohol (0.00876 mmol) in toluene. 296 10
0.0024 0.0026 0.0028
0.003
0.0032 0.0034 0.0036 -11.4
-11.2
-11
-10.8
-10.6
-10.4
-10.2
-10
0.0024 0.0026 0.0028
0.003
0.0032 0.0034 0.0036
ln(k/T)
1/T (1/K) Figure 7.16. Eyring plot constructed from the observed first order rate constants for the
TCC/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol, 1M) from benzyl
alcohol (0.00876 mmol) in toluene. Figure 7.17. Eyring plot constructed from the observed first order rate constants for the 2-
O/MTBD (0.0219 mmol each) cocatalyzed ROP of CL (0.876 mmol, 1M) from benzyl
alcohol (0.00876 mmol) in toluene. -11.6
-11.4
-11.2
-11
-10.8
-10.6
-10.4
-10.2
-10
-9.8
0.0024 0.0026 0.0028 0.003 0.0032 0.0034 0.0036
ln(k/T)
1/T (1/K) -11.6
-11.4
-11.2
-11
-10.8
-10.6
-10.4
-10.2
-10
-9.8
0.0024 0.0026 0.0028 0.003 0.0032 0.0034 0.0036
ln(k/T)
1/T (1/K) Figure 7.17. Eyring plot constructed from the observed first order rate constants for the 2-
O/MTBD (0.0219 mmol each) cocatalyzed ROP of CL (0.876 mmol, 1M) from benzyl
alcohol (0.00876 mmol) in toluene. 297 -13.5
-13
-12.5
-12
-11.5
-11
-10.5
-10
-9.5
-9
0.0024
0.0026
0.0028
0.003
0.0032
0.0034
0.0036
ln(k/T)
1/T (1/K)
1M CL
2M CL
3M CL -13.5
-13
-12.5
-12
-11.5
-11
-10.5
-10
-9.5
-9
0.0024
0.0026
0.0028
0.003
0.0032
0.0034
0.0036
ln(k/T)
1/T (1/K)
1M CL
2M CL
3M CL Figure 7.18. Eyring plot constructed from the observed first order rate constants for the 1-
S/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl alcohol
(0.00876 mmol) at 1M, 2M and 3M concentrations in toluene. Figure 7.18. Eyring plot constructed from the observed first order rate constants for the 1-
S/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl alcohol
(0.00876 mmol) at 1M, 2M and 3M concentrations in toluene. Figure 7.18. EYRING DATA IN TOLUENE Eyring plot constructed from the observed first order rate constants for the 1-
S/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl alcohol
(0.00876 mmol) at 1M, 2M and 3M concentrations in toluene. 298 EYRING DATA IN METHYL ISOBUTYL KETONE - LACTIDE
-11.8
-11.7
-11.6
-11.5
-11.4
-11.3
-11.2
-11.1
-11
0.0024 0.0025 0.0026 0.0027 0.0028 0.0029
0.003
0.0031 0.0032
ln(k/T)
1/T (1/K) EYRING DATA IN METHYL ISOBUTYL KETONE - LACTIDE Figure 7.19. Eyring plot constructed from the observed first order rate constants for the 2-
S/PMDETA (0.0219 mmol each) cocatalyzed ROP of L-LA (0.876 mmol) from benzyl
alcohol (0.00876 mmol) in methyl isobutyl ketone. 299 EYRING DATA IN METHYL ISOBUTYL KETONE - CAPROLACTONE
y = -2703x - 1.3888
-10.7
-10.4
-10.1
-9.8
-9.5
-9.2
-8.9
-8.6
-8.3
-8
0.0024 0.0026 0.0028
0.003
0.0032 0.0034 0.0036
ln(k/T)
1/T (1/K) DATA IN METHYL ISOBUTYL KETONE - CAPROLACTONE
8
0.0024 0.0026 0.0028
0.003
0.0032 0.0034 0.0036 EYRING DATA IN METHYL ISOBUTYL KETONE - CAPROLACTONE 0.0024 0.0026 0.0028
0.003
0.0032 0.00 Figure 7.20. Eyring plot constructed from the observed first order rate constants for the
TCC/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl
alcohol (0.00876 mmol) in methyl isobutyl ketone. y = -2628.8x - 4.2906
-13.6
-13.2
-12.8
-12.4
-12
-11.6
-11.2
-10.8
0.0024 0.0026 0.0028
0.003
0.0032 0.0034 0.0036
ln(k/T)
1/T (1/K) Figure 7.21. Eyring plot constructed from the observed first order rate constants for the 1-
S/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl alcohol
(0.00876 mmol) in methyl isobutyl ketone. Figure 7.21. Eyring plot constructed from the observed first order rate constants for the 1-
S/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl alcohol
(0.00876 mmol) in methyl isobutyl ketone. 300 y = -2134.2x - 4.7594
-12.1
-12
-11.9
-11.8
-11.7
-11.6
-11.5
-11.4
-11.3
-11.2
-11.1
-11
0.002960.003040.003120.00320.003280.003360.00344
ln(k/T)
1/T (1/K) 11
0.002960.003040.003120.00320.003280.003360.00344 Figure 7.22. Eyring plot constructed from the observed first order rate constants for the 2-
S/MTBD (0.0219 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl alcohol
(0.00876 mmol) in methyl isobutyl ketone. Figure 7.23. Eyring plot constructed from the observed first order rate constants for the 2-
O/MTBD (0.0219 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl
alcohol (0.00876 mmol) in methyl isobutyl ketone. EYRING DATA IN TOLUENE y = -1270.5x - 6.4451
-10.8
-10.6
-10.4
-10.2
-10
-9.8
-9.6
0.0025
0.0027
0.0029
0.0031
0.0033
ln(k/T)
1/T (1/K) y = -1270.5x - 6.4451
-10.8
-10.6
-10.4
-10.2
-10
-9.8
-9.6
0.0025
0.0027
0.0029
0.0031
0.0033
ln(k/T)
1/T (1/K) y = -1270.5x - 6.4451
-10.8
-10.6
-10.4
-10.2
-10
-9.8
-9.6
0.0025
0.0027
0.0029
0.0031
0.0033
ln(k/T)
1/T (1/K) Figure 7.23. Eyring plot constructed from the observed first order rate constants for the 2-
O/MTBD (0.0219 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl
alcohol (0.00876 mmol) in methyl isobutyl ketone. Figure 7.23. Eyring plot constructed from the observed first order rate constants for the 2-
O/MTBD (0.0219 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl
alcohol (0.00876 mmol) in methyl isobutyl ketone. 301 -10.5
-10
-9.5
-9
-8.5
-8
-7.5
0.0024 0.0026 0.0028 0.003 0.0032 0.0034 0.0036
ln(k/T)
1/T (1/K) Figure 7.24. Eyring plot constructed from the observed first order rate constants for the 3-
O/MTBD (0.0146 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl
alcohol (0.00876 mmol) in methyl isobutyl ketone. y = -1780.8x - 6.1151
-12.4
-12.2
-12
-11.8
-11.6
-11.4
-11.2
-11
-10.8
-10.6
0.0024
0.0029
0.0034
0.0039
ln(k/T)
1/T (1/K) Figure 7.25. Eyring plot constructed from the observed first order rate constants for the 1-
O/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl
alcohol (0.00876 mmol) in methyl isobutyl ketone. Figure 7.25. Eyring plot constructed from the observed first order rate constants for the 1-
O/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl
alcohol (0.00876 mmol) in methyl isobutyl ketone. 302 EYRING DATA IN BENZENE -10.6
-10.4
-10.2
-10
-9.8
-9.6
-9.4
-9.2
0.0025
0.0027
0.0029
0.0031
0.0033
0.003
ln(k/T)
1/T (1/K) 9 2
0.0025
0.0027
0.0029
0.0031
0.0033
0.0035 Figure 7.26. Eyring plot constructed from the observed first order rate constants for the
TCC/MTBD (0.0438 mmol each) cocatalyzed ROP of CL (0.876 mmol) from benzyl
alcohol (0.00876 mmol) in benzene. FIRST ORDER PLOTS - TOLUENE
Figure 7.27. First order evolution of [CL] versus time for the TCC/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. y = 0.0302x + 0.025
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
0
20
40
60
ln([M]o/[M])
Time (min) FIRST ORDER PLOTS - TOLUENE Figure 7.27. First order evolution of [CL] versus time for the TCC/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. 303 Figure 7.28. First order evolution of [CL] versus time for the 1-O/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. y = 0.0081x - 0.1354
0
0.5
1
1.5
2
2.5
0
50
100
150
200
250
ln([M]o/[M])
Time (min) y = 0.0081x - 0.1354
0
0.5
1
1.5
2
2.5
0
50
100
150
200
250
ln([M]o/[M])
Time (min) Figure 7.28. First order evolution of [CL] versus time for the 1-O/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. Figure 7.28. First order evolution of [CL] versus time for the 1-O/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. Figure 7.29. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. y = 0.0027x + 0.0758
0
0.2
0.4
0.6
0.8
1
1.2
1.4
0
100
200
300
400
500
ln([M]o/[M])
Time (min) y = 0.0027x + 0.0758
0
0.2
0.4
0.6
0.8
1
1.2
1.4
0
100
200
300
400
500
ln([M]o/[M])
Time (min) Figure 7.29. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. Figure 7.29. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. 304 Figure 7.30. First order evolution of [CL] versus time for the 2-S/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 80°C. y = 0.0205x + 0.0892
0
0.5
1
1.5
2
2.5
0
20
40
60
80
100
ln([M]o/[M])
Time (min) y = 0.0205x + 0.0892
0
0.5
1
1.5
2
2.5
0
20
40
60
80
100
ln([M]o/[M])
Time (min) 7.30. First order evolution of [CL] versus time for the 2-S/MTBD (0.0219 mmol Figure 7.30. FIRST ORDER PLOTS - TOLUENE First order evolution of [CL] versus time for the 2-S/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 80°C. each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 80°C. Figure 7.31. First order evolution of [CL] versus time for the 3-S/MTBD (0.0146 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. y = 0.0036x + 0.0532
0
0.2
0.4
0.6
0.8
1
1.2
1.4
0
100
200
300
400
ln([M]o/[M])
Time (min) y = 0.0036x + 0.0532
0
0.2
0.4
0.6
0.8
1
1.2
1.4
0
100
200
300
400
ln([M]o/[M])
Time (min) Figure 7.31. First order evolution of [CL] versus time for the 3-S/MTBD (0.0146 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. 305 Figure 7.32. First order evolution of [CL] versus time for the 2-O/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. y = 0.0283x - 0.0642
0
0.5
1
1.5
2
2.5
0
20
40
60
80
ln([M]o/[M])
Time (min) y = 0.0283x - 0.0642
0
0.5
1
1.5
2
2.5
0
20
40
60
80
ln([M]o/[M])
Time (min) Figure 7.32. First order evolution of [CL] versus time for the 2-O/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. Figure 7.32. First order evolution of [CL] versus time for the 2-O/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. Figure 7.33. First order evolution of [CL] versus time for the 3-O/MTBD (0.0146 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. y = 0.0486x + 0.0473
0
0.5
1
1.5
2
2.5
3
3.5
0
10
20
30
40
50
60
70
ln([M]o/[M])
Time (min) y = 0.0486x + 0.0473
0
0.5
1
1.5
2
2.5
3
3.5
0
10
20
30
40
50
60
70
ln([M]o/[M])
Time (min) Figure 7.33. First order evolution of [CL] versus time for the 3-O/MTBD (0.0146 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. 306 Figure 7.34. FIRST ORDER PLOTS - TOLUENE First order evolution of [CL] versus time for the TCC/DBU (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. y = 0.0075x + 0.0253
0
0.1
0.2
0.3
0.4
0.5
0.6
0
10
20
30
40
50
60
70
ln([M]o/[M])
Time (min) y = 0.0075x + 0.0253
0
0.1
0.2
0.3
0.4
0.5
0.6
0
10
20
30
40
50
60
70
ln([M]o/[M])
Time (min) Figure 7.34. First order evolution of [CL] versus time for the TCC/DBU (0.0438 each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. Figure 7.35. First order evolution of [CL] versus time for the TCC/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (1M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. y = 0.0053x - 0.0053
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0
10
20
30
40
50
60
70
ln([M]o/[M])
Time (min) y = 0.0053x - 0.0053
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0
10
20
30
40
50
60
70
ln([M]o/[M])
Time (min) Figure 7.35. First order evolution of [CL] versus time for the TCC/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (1M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. 307 Figure 7.36. First order evolution of [CL] versus time for the 2-O/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (1M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. y = 0.0148x - 0.0386
0
0.2
0.4
0.6
0.8
1
1.2
0
20
40
60
80
ln([M]o/[M])
Time (min) y = 0.0148x - 0.0386
0
0.2
0.4
0.6
0.8
1
1.2
0
20
40
60
80
ln([M]o/[M])
Time (min) Figure 7.36. First order evolution of [CL] versus time for the 2-O/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (1M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. Figure 7.36. First order evolution of [CL] versus time for the 2-O/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (1M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. Figure 7.37. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (1M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. FIRST ORDER PLOTS - TOLUENE y = 0.0011x + 0.0808
0
0.1
0.2
0.3
0.4
0.5
0.6
0
100
200
300
400
500
ln([M]o/[M])
Time (min) y = 0.0011x + 0.0808
0
0.1
0.2
0.3
0.4
0.5
0.6
0
100
200
300
400
500
ln([M]o/[M])
Time (min) Figure 7.37. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (1M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. 308 Figure 7.38. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (3M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. y = 0.0105x - 0.0206
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0
10
20
30
40
50
60
70
ln([M]o/[M])
Time (min) y = 0.0105x - 0.0206
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0
10
20
30
40
50
60
70
ln([M]o/[M])
Time (min) Figure 7.38. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (3M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
toluene at 110°C. 309 FIRST ORDER PLOTS – METHYL ISOBUTYL KETONE FIRST ORDER PLOTS METHYL ISOBUTYL KETONE
Figure 7.39. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. y = 0.0027x + 0.1837
0
0.5
1
1.5
2
2.5
0
200
400
600
800
ln([M]o/[M])
Time (min) y = 0.0027x + 0.1837
0
0.5
1
1.5
2
2.5
0
200
400
600
800
ln([M]o/[M])
Time (min) Figure 7.39. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. Figure 7.39. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in Figure 7.39. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol Figure 7.39. First order evolution of [CL] versus time for the 1-S/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. Figure 7.40. FIRST ORDER PLOTS - TOLUENE First order evolution of [CL] versus time for the TCC/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. y = 0.0868x + 0.2151
0
0.5
1
1.5
2
2.5
3
0
5
10
15
20
25
30
35
ln([M]o/[M])
Time (min) y = 0.0868x + 0.2151
0
0.5
1
1.5
2
2.5
3
0
5
10
15
20
25
30
35
ln([M]o/[M])
Time (min) Figure 7.40. First order evolution of [CL] versus time for the TCC/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. 310 Figure 7.41. First order evolution of [CL] versus time for the 2-S/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 60°C. y = 0.0034x + 0.0087
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0
50
100
150
ln([M]o/[M]
Time (min) y = 0.0034x + 0.0087
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0
50
100
150
ln([M]o/[M]
Time (min) Figure 7.41. First order evolution of [CL] versus time for the 2-S/MTBD (0.0219 mmol Figure 7.41. First order evolution of [CL] versus time for the 2-S/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 60°C. each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 60°C. y = 0.0175x + 0.1956
0
0.5
1
1.5
2
2.5
3
0
50
100
150
ln([M]o/[M])
Time (min) Figure 7.42. First order evolution of [CL] versus time for the 2-O/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. y = 0.0175x + 0.1956
0
0.5
1
1.5
2
2.5
3
0
50
100
150
ln([M]o/[M])
Time (min) y = 0.0175x + 0.1956 Figure 7.42. First order evolution of [CL] versus time for the 2-O/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. Figure 7.42. First order evolution of [CL] versus time for the 2-O/MTBD (0.0219 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. 311 Figure 7.43. FIRST ORDER PLOTS - TOLUENE First order evolution of [CL] versus time for the 1-O/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. y = 0.0078x + 0.1385
0
0.5
1
1.5
2
2.5
3
0
100
200
300
400
ln([M]o/[M])
Time (min) y = 0.0078x + 0.1385
0
0.5
1
1.5
2
2.5
3
0
100
200
300
400
ln([M]o/[M])
Time (min) Figure 7.43. First order evolution of [CL] versus time for the 1-O/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. Figure 7.43. First order evolution of [CL] versus time for the 1-O/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. Figure 7.44. First order evolution of [CL] versus time for the 3-O/MTBD (0.0146 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. y = 0.0218x + 0.0669
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
0
5
10
15
20
ln([M]o/[M])
Time (min) y = 0.0218x + 0.0669
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
0
5
10
15
20
ln([M]o/[M])
Time (min) Figure 7.44. First order evolution of [CL] versus time for the 3-O/MTBD (0.0146 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
methyl isobutyl ketone at 110°C. 312 FIRST ORDER PLOT –BENZENE FIRST ORDER PLOT –BENZENE Figure 7.45. First order evolution of [CL] versus time for the TCC/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
benzene at 110°C. y = 0.0251x + 0.0415
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
0
10
20
30
40
50
60
70
ln([M]o/[M])
Time (min) y = 0.0251x + 0.0415
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
0
10
20
30
40
50
60
70
ln([M]o/[M])
Time (min) Figure 7.45. First order evolution of [CL] versus time for the TCC/MTBD (0.0438 mmol
each) cocatalyzed ROP of CL (2M, 0.876 mmol) from benzyl alcohol (0.00876 mmol) in
benzene at 110°C. 313 MOLECULAR WEIGHT VS CONVERSION
Figure 7.46. Mn and Mw/Mn versus conversion plot for 1-S at 80°C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 1-S/MTBD (0.0438 mmol each) cocatalyzed from benzyl
alcohol (0.00876 mmol). 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
5000
10000
15000
20000
25000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction MOLECULAR WEIGHT VS CONVERSION MOLECULAR WEIGHT VS CONVERSION
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
5000
10000
15000
20000
25000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction Figure 7.46. Mn and Mw/Mn versus conversion plot for 1-S at 80°C. Reaction conditions: Figure 7.46. Mn and Mw/Mn versus conversion plot for 1-S at 80°C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 1-S/MTBD (0.0438 mmol each) cocatalyzed from benzyl
alcohol (0.00876 mmol). Figure 7.46. Mn and Mw/Mn versus conversion plot for 1-S at 80°C. Reaction conditions: Figure 7.46. Mn and Mw/Mn versus conversion plot for 1-S at 80°C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 1-S/MTBD (0.0438 mmol each) cocatalyzed from benzyl Figure 7.46. Mn and Mw/Mn versus conversion plot for 1-S at 80 C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 1-S/MTBD (0.0438 mmol each) cocatalyzed from benzyl
alcohol (0.00876 mmol). Figure 7.47. Mn and Mw/Mn versus conversion plot for 1-S at 110°C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 1-S/MTBD (0.0438 mmol each) cocatalyzed from
benzyl alcohol (0.0175 mmol). FIRST ORDER PLOT –BENZENE 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
2000
4000
6000
8000
10000
12000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
2000
4000
6000
8000
10000
12000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction Figure 7.47. Mn and Mw/Mn versus conversion plot for 1-S at 110°C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 1-S/MTBD (0.0438 mmol each) cocatalyzed from
benzyl alcohol (0.0175 mmol). 7.47. Mn and Mw/Mn versus conversion plot for 1-S at 110°C. Reaction conditions Figure 7.47. Mn and Mw/Mn versus conversion plot for 1-S at 110°C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 1-S/MTBD (0.0438 mmol each) cocatalyzed from
benzyl alcohol (0.0175 mmol). 314 Figure 7.48. Mn and Mw/Mn versus conversion plot for 1-S at 110°C. Reaction conditions:
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
1000
2000
3000
4000
5000
6000
7000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
1000
2000
3000
4000
5000
6000
7000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction Figure 7.48. Mn and Mw/Mn versus conversion plot for 1-S at 110°C. Reaction co CL (0.876 mmol, 2M) in methyl isobutyl ketone, 1-S/MTBD (0.0438 mmol each)
cocatalyzed from benzyl alcohol (0.0175 mmol). Figure 7.49. Mn and Mw/Mn Versus Conversion plot for 2-O at 110°C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 2-O/MTBD (0.0219 mmol each), benzyl alcohol
(0.00876 mmol). 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
2000
4000
6000
8000
10000
12000
14000
16000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
2000
4000
6000
8000
10000
12000
14000
16000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction Figure 7.49. Mn and Mw/Mn Versus Conversion plot for 2-O at 110°C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 2-O/MTBD (0.0219 mmol each), benzyl alcohol
(0.00876 mmol). 315 Figure 7.50. Mn and Mw/Mn Versus Conversion plot for 2-O at 90°C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 2-O/MTBD (0.0219 mmol each) cocatalyzed from
benzyl alcohol (0.00876 mmol). FIRST ORDER PLOT –BENZENE 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction Figure 7.50. Mn and Mw/Mn Versus Conversion plot for 2-O at 90°C. Reaction conditions: Figure 7.50. Mn and Mw/Mn Versus Conversion plot for 2-O at 90°C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 2-O/MTBD (0.0219 mmol each) cocatalyzed from Figure 7.50. Mn and Mw/Mn Versus Conversion plot for 2-O at 90 C. Reaction conditions:
CL (0.876 mmol, 2M) in toluene, 2-O/MTBD (0.0219 mmol each) cocatalyzed from
benzyl alcohol (0.00876 mmol). Figure 7.51. Mn and Mw/Mn versus conversion plot for 2-O at 90°C. Reaction conditions:
CL (0.876 mmol, 2M) in methyl isobutyl ketone, 2-O/MTBD (0.0219 mmol each)
cocatalyzed from benzyl alcohol (0.0175 mmol). 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
2000
4000
6000
8000
10000
12000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
2000
4000
6000
8000
10000
12000
0
0.2
0.4
0.6
0.8
1
Mw/Mn
Mn
Conversion Fraction CL (0.876 mmol, 2M) in methyl isobutyl ketone, 2-O/MTBD (0.0219 mmol each) 316 Stereoselective Ring Opening Polymerization of rac-lactide using Chiral Bis- thiourea Catalysts Nayanthara U. Dharmaratne, Oleg I. Kazakov, U.L.D. Inush Kalana, Nayanthara U. Dharmaratne, Thomas J. Wright and Matthew K. Kiesewetter. Email address: mkiesewetter@chm.uri.edu ABSTRACT Polylactide (PLA) is derived from biorenewable sources and is an attractive polymer due
to its biocompatibility, biodegradability and the ability for it to show drastically variable
physical and mechanical properties depending on its tacticity. The properties of PLA can
be significantly enhanced (Tm, 230-240 oC) by forming sterecomplexes of PLA. One
method of achieving this is by stereoselective polymerization of rac-lactide. In this study
we developed an enantio-selective chiral bis-thiourea catalysts that not only shows high
stereoselectivity at mild conditions, but also show faster rates of polymer formation with
precise control in molecular weight. We believe this system follows a mixed mechanism
of stereoselectivity with a higher inclination towards ESC mechanisms and catalyzes the
reaction via an imidate mediated H-bonding mechanism. 318 INTRODUCTION Polylactide (PLA) which is derived from bio-renewable sources has surfaced as an
attractive polymer due to its biocompatibility and biodegradability.1,2 PLA can be
synthesized by either polycondensation of lactic acid or ring opening polymerization
(ROP) of lactide (LA).1 ROP has been reported to produces polymers with precise control
over molecular weight, which leads to polymer samples with narrow molecular weight
distribution compared to polycondensation reactions.3–5 Lactide due to its two stereo-
centers can be found in three forms of diastereomers, D-LA (RR), L-LA (SS) and (RS) meso-
lactide.1,6 D-LA, L-LA isomers are commercially available more commonly as racemic
mixture (rac-LA). ROP of rac-LA can result in a range of polymer microstructures
depending on the arrangement of chiral centers along the polymer chain (Figure 8.1).1,2,6
Different microstructures of PLA give rise to polymers with different degrees of tacticity. Polymers exhibiting different degrees of tacticity show different physical and mechanical
properties.6 Atactic PLA with random distribution of chiral centers is an amorphous
polymer that show no melting temperature, isotactic PLLA possesses a Tm =180 oC,
heterotactic PLA (Tm 130 oC) and an equimolar mixture of PLLA and PDLA show a
significantly high melting temperature (Tm 230 oC) due to stereo-complexation.1,2,6,7 High
melting PLA can also be obtained by the formation of stereo-block polymers by the ROP
of rac-LA as a result of the two portions of PLLA and PDLA of a single polymer sample
packing together forming a crystalline polymer.2,7 A method of achieving stereo-block
PLA is by stereoselective ring opening polymerization of rac-lactide (sROP).2,6 Stereo-
controlled ROP can follow two main mechanisms depending on the catalysts used. In the Polylactide (PLA) which is derived from bio-renewable sources has surfaced as an
attractive polymer due to its biocompatibility and biodegradability.1,2 PLA can be
synthesized by either polycondensation of lactic acid or ring opening polymerization
(ROP) of lactide (LA).1 ROP has been reported to produces polymers with precise control
over molecular weight, which leads to polymer samples with narrow molecular weight
distribution compared to polycondensation reactions.3–5 Lactide due to its two stereo-
centers can be found in three forms of diastereomers, D-LA (RR), L-LA (SS) and (RS) meso-
lactide.1,6 D-LA, L-LA isomers are commercially available more commonly as racemic
mixture (rac-LA). INTRODUCTION ROP of rac-LA can result in a range of polymer microstructures
depending on the arrangement of chiral centers along the polymer chain (Figure 8.1).1,2,6
Different microstructures of PLA give rise to polymers with different degrees of tacticity. Polymers exhibiting different degrees of tacticity show different physical and mechanical
properties.6 Atactic PLA with random distribution of chiral centers is an amorphous
polymer that show no melting temperature, isotactic PLLA possesses a Tm =180 oC,
heterotactic PLA (Tm 130 oC) and an equimolar mixture of PLLA and PDLA show a
significantly high melting temperature (Tm 230 oC) due to stereo-complexation.1,2,6,7 High
melting PLA can also be obtained by the formation of stereo-block polymers by the ROP
of rac-LA as a result of the two portions of PLLA and PDLA of a single polymer sample
packing together forming a crystalline polymer.2,7 A method of achieving stereo-block
PLA is by stereoselective ring opening polymerization of rac-lactide (sROP).2,6 Stereo-
controlled ROP can follow two main mechanisms depending on the catalysts used. EXPERIMENTAL SECTION All chemicals were purchased from Acros organics and used as received unless stated
otherwise. chloroform-d and acetone-d6 were purchased from Cambridge Isotope
Laboratories, distilled from calcium hydride and calcium sulfate respectively and stored
under N2. Benzyl alcohol was distilled under high vacuum from calcium hydride prior to
use. Dry CH2Cl2 was obtained from an Innovative Technology solvent purification system. 4-nitrophenyl isothiocyanate, 3,5-bis(trifluoromethyl)phenyl isothiocyanate, 3,5-dimethyl
isothiocyanate was purchased from Sigma Aldrich and used as it is. L-lactide, D-lactide was
obtained from Carbion and rac-lactide was obtained from Acros Organics and
recrystallized from dry toluene prior to use. All experiments were conducted in a stainless-
steel glovebox under N2 unless stated otherwise. NMR experiments were performed on a
Bruker Avance III 300 or 400 MHz spectrometer. Decoupled experiments were performed
on a Varian 500 MHz NMR spectrometer in the college of pharmacy at the University of
Rhode Island. Mass spectrometry experiments were performed using a Thermo Electron
(San Jose, CA, USA) LTQ Orbitrap XL mass spectrometer affixed with electrospray
ionization (ESI) interface in a positive ion mode. Collected mass spectra were averaged for
at least 50 scans. Tune conditions for infusion experiments (10 μL/min flow, sample
concentration 5 μg/mL in 50/50 v/v water/ methanol) were as follows: ion spray voltage,
5000 V; capillary temperature, 275oC; sheath gas (N2, arbitrary units), 11; auxiliary gas
(N2, arbitrary units), 2; capillary voltage, 21 V; and tube lens, 90 V; multipole 00 offset, - All chemicals were purchased from Acros organics and used as received unless stated
otherwise. chloroform-d and acetone-d6 were purchased from Cambridge Isotope
Laboratories, distilled from calcium hydride and calcium sulfate respectively and stored
under N2. Benzyl alcohol was distilled under high vacuum from calcium hydride prior to
use. Dry CH2Cl2 was obtained from an Innovative Technology solvent purification system. 4-nitrophenyl isothiocyanate, 3,5-bis(trifluoromethyl)phenyl isothiocyanate, 3,5-dimethyl
isothiocyanate was purchased from Sigma Aldrich and used as it is. L-lactide, D-lactide was
obtained from Carbion and rac-lactide was obtained from Acros Organics and
recrystallized from dry toluene prior to use. All experiments were conducted in a stainless-
steel glovebox under N2 unless stated otherwise. NMR experiments were performed on a
Bruker Avance III 300 or 400 MHz spectrometer. Decoupled experiments were performed
on a Varian 500 MHz NMR spectrometer in the college of pharmacy at the University of
Rhode Island. INTRODUCTION In the 319 presence of bulky catalysts sROP occurs via chain end-controlled mechanism (CEC) where
the initial monomer insertion happens in a random manner and thereafter monomer
preference is dependent on the chirality of the chain end (figure 8.2a).1,2,7–9 These types of
reactions are fast but are limited to cold reaction temperatures in order to minimize stereo
error.7–9 In contrast to CEC mechanism, enantio-site control (ESC) mechanism follows a
more controlled pathway where a chiral catalyst selectively activates one diastereomer over
the other for polymerization and doesn’t require harsh temperatures to maintain stereo
selectivity (figure 8.2b).1,2,10,11 Although numerous studies have been reported for sROP
of rac-lactide that deliver high degree of stereoselectivity, these systems still suffer from
low reaction rates (days to achieve high conversions) or require harsh conditions (high to
low temperatures).7–10 Thiourea organocatalysts have had great success in producing PLA
with highly controlled properties due to their high monomer selectivity.3–5,10,12 However,
only a handful of studies report the use of thiourea for sROP of rac-lactide and the reported
studies suffer similar drawbacks in terms of rate and/or rigorous conditions of
polymerization.7,10,13 Our group has successfully designed bis, tris-thiourea catalysts that
have revolutionized the field of ROP of lactones by converting cyclic monomers to
polymers with high control in merely minutes.4,12,14,15 Our motivation is to translate our
knowledge of bis-thioureas to design novel chiral catalysts by introducing chirality via knowledge of bis-thioureas to design novel chiral catalysts by introducing chirality via
insertion of chiral amino acid derivatives that will enable the production of crystalline
PLAs at faster rates under mild conditions. 320 EXPERIMENTAL SECTION Mass spectrometry experiments were performed using a Thermo Electron
(San Jose, CA, USA) LTQ Orbitrap XL mass spectrometer affixed with electrospray
ionization (ESI) interface in a positive ion mode. Collected mass spectra were averaged for
at least 50 scans. Tune conditions for infusion experiments (10 μL/min flow, sample
concentration 5 μg/mL in 50/50 v/v water/ methanol) were as follows: ion spray voltage,
5000 V; capillary temperature, 275oC; sheath gas (N2, arbitrary units), 11; auxiliary gas
(N2, arbitrary units), 2; capillary voltage, 21 V; and tube lens, 90 V; multipole 00 offset, - 321 4.25 V; lens 0 voltage, - 5.00; multipole 1 offset, - 8.50 V; Multipole RF Amplitude, 400
V; Ion trap’s AGC target settings for Full MS was 3.0e4 and FT’s 2.0e5 (with 3 and 2
averaged microscans , respectively). Prior to analysis, the instrument was calibrated for
positive ions using Pierce LTQ ESI positive ion calibration solution (lot #PC197784). Determination of thermal properties. Melting temperatures (Tm) of PLA synthesized in
this study were determined by differential scanning calorimetry (DSC) using a shimadzu
differential scanning calorimeter 60 plus that has been calibrated using high purity indium
at a heating rate of 5 °C/min. Polymer sample (5 mg) was first heated to 180 oC at 5 oC/min,
held at this temperature for 15 h to anneal the sample. The sample was cooled to 25 oC at
5 oC/min, held for 10 min, and reheated to 250 oC at 5 oC/min. All thermal data was
obtained from the second cycle. Determination of thermal properties. Melting temperatures (Tm) of PLA synth Determination of Pm. An NMR sample of purified polymer (1mg/ml) was prepared in
chloroform-d and analyzed by 1H- homo decoupled NMR at 50 °C. The procedure for
determining Pm was followed as reported.16,17 HPLC measurement. The unreacted monomer at 50 % monomer conversion from the
quenched reaction was isolated by washing the reaction with isopropanol : hexane 1: 1 and
the soluble portion was extracted and concentrated under vacuum. Further purification by
column chromatography was done to purify the unreacted monomer and to remove traces
of catalysts. Isolated monomer was then analyzed by chiral HPLC using 322 hexane/isopropanol (7/3). The selectivity factor (kD/kL) was determined by kD/kL = {ln[(1-
conv.)(1-ee)]}/{ln[(1-conv.)(1+ee)]}.11 Example ROP of rac-LA at room temperature. A 7 mL vial was charged with 1
(7.0 mg, 0.005 mmol), rac-LA (70 mg, 0.475 mmol) and CH2Cl2 (480 µL) and agitated to
make a homogeneous solution. A stock solution of benzyl alcohol (0.5 M) was prepared
using benzyl alcohol (5.4 mg, 0.05 mmol) in CH2Cl2 (100 µL) and 9.5 µL from the stock
solution was transferred to the vial and the content shaken to mix well. A stock solution of
Tris[2-(dimethylamino)ethyl]amine (Me6Tren) (0.5 M) was prepared using Me6TREN
(11.5 mg, 0.05 mmol) in CH2Cl2 (100 µL) and 19.0 µL from the stock solution was
transferred to the vial to start the reaction. The content was transferred to an NMR tube and
the reaction monitored using 1H NMR and locked using a DMSO capillary. When the
desired conversion was achieved, the reaction was quenched with at least 2 equivalents of
benzoic acid to the amount of Me6Tren. The reaction was then concentrated under vacuum. The dried polymer was purified using a methanol wash and subjected to high vacuum. The
purified polymer was characterized using NMR, DSC and GPC. Example ROP of rac-LA at -15o C. A 7 mL vial was charged with 1 (7.0 mg,
0.005 mmol), rac-LA (70 mg, 0.475 mmol) and CH2Cl2 (480 µL) and agitated to make a
homogeneous solution. A stock solution of benzyl alcohol (0.5 M) was prepared using
benzyl alcohol (5.4 mg, 0.05 mmol) in CH2Cl2 (100 µL) and 9.5 µL from the stock solution
was transferred to the vial and the content shaken to mix well. The content in the vial was 323 allowed to equilibrate at -15o C for 30 min. Determination of thermal properties. Melting temperatures (Tm) of PLA synth A stock solution of Tris[2-
(dimethylamino)ethyl]amine (Me6Tren) (0.5 M) was prepared using Me6TREN (11.5 mg,
0.05 mmol) in CH2Cl2 (100 µL) and the stock solution was also allowed to equilibrate at -
15o C for 30 min and 19.0 µL from the stock solution was transferred to the vial to start the
reaction post equilibration. The reaction was monitored by obtaining aliquots. When the
desired conversion was achieved, the reaction was quenched with at least 2 equivalents of
benzoic acid to the amount of Me6Tren dissolved in cold DCM. The reaction was then
concentrated under vacuum. The dried polymer was purified using a methanol wash and
subjected to high vacuum. The purified polymer was characterized using NMR, DSC and
GPC. Synthesis of bis thiourea H-bond donor TU 1-3. NH2
BocHN
NHBoc
O
HO
tBu
+
HBTU, DIPEA
DCM. r.t
Boc-DAP
Boc-L-Leu
I 1.1
BocHN
N
H
O
tBu
NHBoc BocHN BocHN Boc-DAP Intermediate product I 1.1 was synthesized according to an adapted literature procedure.18 Intermediate product I 1.1 was synthesized according to an adapted literature procedure.18
A 25 mL flame-dried Schlenk flask was charged with dry DCM (10 mL). N-Boc-L-tert-
leucine (Boc-L-Leu) (100 mg, 0.43 mmol), N,N,N′,N′-Tetramethyl-O-(1H-benzotriazol-1-
yl)uronium hexafluorophosphate (HBTU) (163.1 mg, 0.43 mmol), and N,N-
Diisopropylethylamine (DIPEA) (0.23 mL, 1.29 mmol) was added to the flask and the
reaction was stirred under nitrogen. N-Boc-1,3-propanediamine (Boc-DAP) was then
added (0.082 mL, 0.47 mmol) to the flask. The reaction was allowed to stir under nitrogen 324 overnight. Afterwards, the reaction mixture was concentrated under vacuum. The residue
was purified with column chromatography on silica gel using ethyl acetate / hexanes (1:1). I 1.1
BocHN
N
H
O
tBu
NHBoc
4 N HCl in Dioxane
2h, r.t
I 1.2
H2N
N
H
O
tBu
NH2
. 2HCl 4 N HCl in Dioxane
2h, r.t
I 1.2
H2N
N
H
O
tBu
NH2
. 2HCl 4 N HCl in Dioxane
2h, r.t I 1.2
H2N
N
H
O
tBu
NH2
. 2HCl I 1.1
BocHN
N
H
O
tBu
NHBoc 4 N HCl in Dioxane BocHN I 1.1 I 1.2 A round bottom flask was charged with 4 N HCl in 1,4-dioxane (1.40 mL, 5.59 mmol of
HCl), followed by the addition of I 1.1 (166 mg, 0.43 mmol). The content was stirred for
2 hours. Next, the volatiles were removed via vacuum transfer. The residue was subjected
to high vacuum. +
F3C
CF3
NCS
TEA, THF
4 h , r.t
ITC
TU1
I 1.2
H2N
N
H
O
tBu
NH2
. 2HCl
N
H
S
N
H
N
H
O
tBu
H
N
CF
3
CF3
H
N
CF3
F3C
S ITC I 1.2 A flame-dried Schlenk flask was charged with dry THF, then I 1.2 (112 mg, 0.43 mmol)
was added followed by Triethylamine (TEA) (0.35 mL, 2.6 mmol). The mixture was
stirred under nitrogen for about 10 minutes and Isothiocyanate (ITC) (0.16 mL, 0.86 mmol)
was added dropwise. The reaction mixture was allowed to react at ambient temperature
under nitrogen overnight. Synthesis of bis thiourea H-bond donor TU 1-3. The solvent was removed using a rotavap and the residue was
purified with column chromatography on silica gel using ethyl acetate / hexanes (1:1) for
TU 1 and TU 3 and 100 % ethyl acetate for TU 2. TU 1, white powder. yield: 60 %. TU
2, a yellow powder. Yield: 55%. TU 3 a white powder. Yield 50%. NMR spectra given
below. HRMS: TU 1 calc. (C27H27F12N5OS2+H)+= 730.15; found m/z = 730.15. TU 2 calc. 325 (C23H29N7O5S2+H)+ = 547.65; found m/z = 547.16. TU 3 calc. (C27H39N5OS2 + H)+ =
513.76; found m/z = 513.25. Synthesis of bis thiourea H-bond donor TU 4. NH2
H2N
H3C
CH3
NCS
ITC
+
DCM. r.t
H3C
CH3
NH2
N
H
N
H
S
1,3-Diaminopropane
I 4.1 H3C
CH3
NCS
ITC
+
DCM. r.t
H3C
CH3
NH2
N
H
N
H
S
I 4.1 H3C
CH3
NH2
N
H
N
H
S
I 4.1 ITC I 4.1 A flame-dried Schlenk flask was charged with dry DCM, then 1,3-Diaminopropane (100
mg, 1.34 mmol), was added to the flask. The mixture was stirred under nitrogen and ITC
(0.15 mL, 1.34 mmol) was added dropwise. The reaction mixture was allowed to react at
ambient temperature under nitrogen overnight. The solvent was removed using a rotavap
and the residue was purified with column chromatography on silica gel using
DCM/Methanol (9:1). A 25 mL flame-dried Schlenk flask was charged with dry THF (20 mL). N-Boc-L-tert-
leucine (Boc-L-Leu) (309 mg, 1.34 mmol), Benzotriazole-1-yl-oxy-tris-pyrrolidino-
phosphonium hexafluorophosphate (PyBOP) (572.3 mg, 1.10 mmol), and N,N-
Diisopropylethylamine (DIPEA) (0.70 mL, 4.02 mmol) was added to the flask and the
reaction was stirred under nitrogen. I 4.1 was then added (317.7 mg, 1.34 mmol) to the
flask. The reaction was allowed to stir under nitrogen overnight. Afterwards, the reaction
mixture was concentrated under vacuum. The residue was used as it is for the next step. H3C
CH3
NH2
N
H
N
H
S
I 4.1
NHBoc
O
HO
tBu
Boc-L-Leu
+
PyBOP, DIPEA
THF. r.t
H3C
CH3
N
H
N
H
N
H
S
NHBoc
O
tBu
I 4.2 H3C
CH3
NH2
N
H
N
H
S
I 4.1
NHBoc
O
HO
tBu
Boc-L-Leu
+
PyBOP, DIPEA
THF. r.t
H3C
CH3
N
H
N
H
N
H
S
NHBoc
O
tBu
I 4.2 H3C
CH3
NH2
N
H
N
H
S
I 4.1
+ NHBoc
O
HO
tBu
Boc-L-Leu Boc-L-Leu A 25 mL flame-dried Schlenk flask was charged with dry THF (20 mL). N-Boc-L-tert-
leucine (Boc-L-Leu) (309 mg, 1.34 mmol), Benzotriazole-1-yl-oxy-tris-pyrrolidino-
phosphonium hexafluorophosphate (PyBOP) (572.3 mg, 1.10 mmol), and N,N-
Diisopropylethylamine (DIPEA) (0.70 mL, 4.02 mmol) was added to the flask and the
reaction was stirred under nitrogen. I 4.1 was then added (317.7 mg, 1.34 mmol) to the
flask. The reaction was allowed to stir under nitrogen overnight. Afterwards, the reaction
mixture was concentrated under vacuum. The residue was used as it is for the next step. Synthesis of bis thiourea H-bond donor TU 4. 326 H3C
CH3
N
H
N
H
N
H
S
NHBoc
O
tBu
I 4.2 H3C
CH3
N
H
N
H
N
H
S
NHBoc
O
tBu
I 4.2
4 N HCl in Dioxane
2h, r.t
H3C
CH3
N
H
N
H
N
H
S
NH2 . HCl
O
tBu
I 4.3 H3C
CH3
N
H
N
H
N
H
S
NH2 . HCl
O
tBu
I 4.3 4 N HCl in Dioxane
2h, r.t I 4.2 I 4.3 A round bottom flask was charged with 4 N HCl in 1,4-dioxane (2.10 mL, 8.71 mmol of
HCl), followed by the addition of I 4.2 (603.4 mg, 1.34 mmol). The content was stirred
for 2 hours. Next, the volatiles were removed via vacuum transfer. The residue was
subjected to high vacuum. H3C
CH3
N
H
N
H
N
H
S
NH2 . HCl
O
tBu
I 4.3
F3C
CF3
NCS
TEA, THF
4 h , r.t
ITC
+
N
H
S
N
H
N
H
O
tBu
H
N
CF3
CF3
H
N
CH3
H3C
S
TU4 H3C
CH3
N
H
N
H
N
H
S
NH2 . HCl
O
tBu
I 4.3 F3C
CF3
NCS
TEA, THF
4 h , r.t
ITC
+
N
H
S
N
H
N
H
O
tBu
H
N
CF3
CF3
H
N
CH3
H3C
S
TU4 TU4 ITC A flame-dried Schlenk flask was charged with dry THF, then I 4.3 (518.5 mg, 1.34 mmol)
was added followed by TEA (0.6 mL, 4.02 mmol). The mixture was stirred under nitrogen
for about 10 minutes and ITC (0.5 mL, 2.71 mmol) was added dropwise. The reaction
mixture was allowed to react at ambient temperature under nitrogen overnight. The solvent
was removed using a rotavap and the residue was purified with column chromatography
on silica gel using ethyl acetate / hexanes (1:1). TU 4, yellow white powder. yield: 60 %. NMR spectra given below. HRMS: calc. (C27H33F6N5OS2+H)+= 622.20; found m/z =
622.20. 327 Synthesis of bis thiourea H-bond donor TU 5. Synthesis of bis thiourea H-bond donor TU 5. F3C
CF3
NH2
N
H
N
H
S
I 5.1 NH2
H2N
F3C
CF3
NCS
ITC
+
DCM. r.t
F3C
CF3
NH2
N
H
N
H
S
1,3-Diaminopropane
I 5.1 NH2
H2N
F3C
CF3
NCS
ITC
+
1,3-Diaminopropane ITC I 5.1 A flame-dried Schlenk flask was charged with dry DCM, then 1,3-Diaminopropane (100
mg, 1.34 mmol), was added to the flask. The mixture was stirred under nitrogen and ITC
(0.25 mL, 1.34 mmol) was added dropwise. The reaction mixture was allowed to react at
ambient temperature under nitrogen overnight. I 5.1 was precipitated at 0°C then filtered
and washed with cold DCM and dried under vacuum. F3C
CF3
NH2
N
H
N
H
S
I 5.1
NHBoc
O
HO
tBu
Boc-L-Leu
+
HBTU, DIPEA
THF. r.t
F3C
CF3
N
H
N
H
N
H
S
NHBoc
O
tBu
I 5.2 F3C
CF3
NH2
N
H
N
H
S
I 5.1
+ NHBoc
O
HO
tBu
Boc-L-Leu HBTU, DIPEA I 5.2 A 25 mL flame-dried Schlenk flask was charged with dry THF (20 mL). N-Boc-L-tert-
leucine (Boc-l-Leu) (309 mg, 1.34 mmol), N,N,N′,N′-Tetramethyl-O-(1H-benzotriazol-1-
yl)uronium hexafluorophosphate (HBTU) (417.2 mg, 1.10 mmol), and N,N-
Diisopropylethylamine (DIPEA) (0.70 mL, 4.02 mmol) was added to the flask and the
reaction was stirred under nitrogen. I 5.1 was then added (462.7 mg, 1.34 mmol) to the
flask. The reaction was allowed to stir under nitrogen overnight. Afterwards, the reaction
mixture was concentrated under vacuum. The residue purified with column
chromatography on silica gel using ethyl acetate/hexane (3:7). 328 F3C
CF3
N
H
N
H
N
H
S
NHBoc
O
tBu
I 5.2
4 N HCl in Dioxane
2h, r.t
CF3
N
H
N
H
N
H
S
NH2 . HCl
O
tBu
I 5.3
F3C F3C
CF3
N
H
N
H
N
H
S
NHBoc
O
tBu
I 5.2 4 N HCl in Dioxane
2h, r.t
CF3
N
H
N
H
N
H
S
NH2 . HCl
O
tBu
I 5.3
F3C 4 N HCl in Dioxane I 5.3 A round bottom flask was charged with 4 N HCl in 1,4-dioxane (2.10 mL, 8.71 mmol of
HCl), followed by the addition of I 5.2 (748.5 mg, 1.34 mmol). The content was stirred for
2 hours. Next, the volatiles were removed via vacuum transfer. The residue was subjected
to high vacuum. Synthesis of bis thiourea H-bond donor TU 5. A flame-dried Schlenk flask was charged with dry THF, then I 5.3 (663.2 mg, 1.34 mmol)
was added followed by TEA (0.6 mL, 4.02 mmol). The mixture was stirred under nitrogen
for about 10 minutes and ITC (0.5 mL, 2.71 mmol) was added dropwise. The reaction
mixture was allowed to react at ambient temperature under nitrogen overnight. The TEA
salt was filtered and the solvent was removed using a rotavap and the residue was purified
with column chromatography on silica gel using ethyl acetate / hexanes (1:1). TU 5, white
powder. yield: 60 %. NMR spectra given below. HRMS: calc. (C27H33F6N5OS2+H)+=
622.20; found m/z =
F3C
CF3
N
H
N
H
N
H
S
NH2 . HCl
O
tBu
I 5.3
H3C
CH3
NCS
TEA, THF
4 h , r.t
ITC
+
N
H
S
N
H
N
H
O
tBu
H
N
CH3
CH3
H
N
CF3
F3C
S
TU5 F3C
CF3
N
H
N
H
N
H
S
NH2 . HCl
O
tBu
I 5.3
H3C
CH3
NCS
TEA, THF
4 h , r.t
ITC
+
N
H
S
N
H
N
H
O
tBu
H
N
CH3
CH3
H
N
CF3
F3C
S
TU5 I 5.3 ITC TU5 A flame-dried Schlenk flask was charged with dry THF, then I 5.3 (663.2 mg, 1.34 mmol)
was added followed by TEA (0.6 mL, 4.02 mmol). The mixture was stirred under nitrogen
for about 10 minutes and ITC (0.5 mL, 2.71 mmol) was added dropwise. The reaction
mixture was allowed to react at ambient temperature under nitrogen overnight. The TEA
salt was filtered and the solvent was removed using a rotavap and the residue was purified
with column chromatography on silica gel using ethyl acetate / hexanes (1:1). TU 5, white
powder. yield: 60 %. NMR spectra given below. HRMS: calc. (C27H33F6N5OS2+H)+=
622.20; found m/z = 329 Synthesis of bis thiourea H-bond donor TU 6. Synthesis of bis thiourea H-bond donor TU 6. NHBoc
tBu
O
H
N
BocHN
NH2
BocHN
NHBoc
O
HO
tBu
+
HBTU, DIPEA
DCM. r.t
Boc-DAE
Boc-L-Leu
I 6.1 NHBoc
tBu
O
H
N
BocHN
NH2
BocHN
NHBoc
O
HO
tBu
+
HBTU, DIPEA
DCM. r.t
Boc-DAE
Boc-L-Leu
I 6.1 I 6.1 I 6.1 A 25 mL flame-dried Schlenk flask was charged with dry DCM (10 mL). N-Boc-L-tert-
leucine (Boc-L-Leu) (100 mg, 0.43 mmol), N,N,N′,N′-Tetramethyl-O-(1H-benzotriazol-1-
yl)uronium hexafluorophosphate (HBTU) (163.1 mg, 0.43 mmol), and N,N-
Diisopropylethylamine (DIPEA) (0.23 mL, 1.29 mmol) was added to the flask and the
reaction was stirred under nitrogen. N-Boc-1,2-diaminoethane (Boc-DAE) was then added
(75 mg, 0.47 mmol) to the flask. The reaction was allowed to stir under nitrogen overnight. Afterwards, the reaction mixture was concentrated under vacuum. The product was
deprotected as it is. NHBoc
tBu
O
H
N
BocHN
I 6.1
4 N HCl in Dioxane
2h, r.t
NH2
tBu
O
H
N
H2N
I 6.2
. 2HCl 4 N HCl in Dioxane
2h, r.t NHBoc
tBu
O
H
N
BocHN
I 6.1 NH2
tBu
O
H
N
H2N
I 6.2
. 2HCl I 6.2 I 6.1 I 6.1 A round bottom flask was charged with 4 N HCl in 1,4-dioxane (1.39 mL, 5.59 mmol of
HCl), followed by the addition of I 6.1 (160.5 mg, 0.43 mmol). The content was stirred
for 2 hours. Next, the volatiles were removed via vacuum transfer. The residue was
subjected to high vacuum. NH2
tBu
O
H
N
H2N
I 6.2
. 2HCl
S
F3C
CF3
N
H
CF3
CF3
N
H
tBu
O
H
N
N
H
S
N
H
+
F3C
CF3
NCS
TEA, THF
4 h , r.t
ITC
TU6 I 6.2 I 6.2 ITC 330 A flame-dried Schlenk flask was charged with dry THF, then I 6.2 (75 mg, 0.43 mmol)
was added followed by TEA (0.4 mL, 2.60 mmol). The mixture was stirred under nitrogen
for about 10 minutes and ITC (0.16 mL, 8.86mmol) was added dropwise. The reaction
mixture was allowed to react at ambient temperature under nitrogen overnight. The solvent
was removed using a rotavap and the residue was purified using column chromatography
using ethyl acetate / hexanes (1:1) as an eluant. TU 6, white powder. yield: 68 %. NMR
spectra given below. HRMS: calc. (C26H25F12N5OS2+H)+= 716.13; found m/z = 716.12. Synthesis of mono thiourea H-bond donor TU 7. H
N
O
tBu
NHBoc
H2N
NHBoc
O
HO
tBu
Boc-L-Leu
+
HBTU, DIPEA
DCM. r.t
n-Butylamine
I 7.1 n-Butylamine I 7.1 A 25 mL flame-dried Schlenk flask was charged with dry DCM (10 mL). N-Boc-L-tert-
leucine (Boc-L-Leu) (100 mg, 0.43 mmol), N,N,N′,N′-Tetramethyl-O-(1H-benzotriazol-1-
yl)uronium hexafluorophosphate (HBTU) (163.1 mg, 0.43 mmol), and N,N-
Diisopropylethylamine (DIPEA) (0.23 mL, 1.29 mmol) was added to the flask and the
reaction was stirred under nitrogen. n-Butylamine was then added (0.05 mL, 0.47 mmol)
to the flask. The reaction was allowed to stir under nitrogen overnight. Afterwards, the
reaction mixture was concentrated under vacuum. The residue was purified with column
chromatography on silica gel using ethyl acetate / hexanes (1:1). 331 A round bottom flask was charged with 4 N HCl in 1,4-dioxane (0.8 mL, 3.05 mmol of
HCl), followed by the addition of I 7.1 (123.0 mg, 0.43 mmol). The content was stirred for
2 hours. Next, the volatiles were removed via vacuum transfer. The residue was subjected
to high vacuum. H
N
O
tBu
BocHN
I 7.1
4 N HCl in Dioxane
2h, r.t
NH2
tBu
O
H
N
I 7.2
. HCl H
N
O
tBu
BocHN
I 7.1
4 N HCl in Dioxane
2h, r.t
NH2
tBu
O
H
N
I 7.2
. HCl I 7.1 I 7.2 A round bottom flask was charged with 4 N HCl in 1,4-dioxane (0.8 mL, 3.05 mmol of
HCl), followed by the addition of I 7.1 (123.0 mg, 0.43 mmol). The content was stirred for
2 hours. Next, the volatiles were removed via vacuum transfer. The residue was subjected
to high vacuum. A flame-dried Schlenk flask was charged with dry THF, then I 7.2 (95.5 mg, 0.43 mmol)
NH2
tBu
O
H
N
I 7.2
F3C
CF3
NCS
TEA, THF
4 h , r.t
ITC
+
H
N
O
tBu
N
H
F3C
CF3
N
H
S
TU7
. HCl A flame-dried Schlenk flask was charged with dry THF, then I 7.2 (95.5 mg, 0.43 mmol)
was added followed by TEA (0.18 mL, 1.29 mmol). The mixture was stirred under
nitrogen for about 10 minutes and ITC (0.08 mL, 0.43 mmol) was added dropwise. The
reaction mixture was allowed to react at ambient temperature under nitrogen overnight. The solvent was removed using a rotavap and the residue was purified using column
chromatography using ethyl acetate / hexanes (1:2) as an eluant. Synthesis of mono thiourea H-bond donor TU 7. TU 7, yellow white
powder. yield: 57 %. NMR spectra given below. HRMS: calc. (C19H25F6N3OS+H)+=
458.16; found m/z = 458.16. NH2
tBu
O
H
N
I 7.2
F3C
CF3
NCS
TEA, THF
4 h , r.t
ITC
+
H
N
O
tBu
N
H
F3C
CF3
N
H
S
TU7
. HCl NH2
tBu
O
H
N
I 7.2
F3C
CF3
NCS
TEA, THF
4 h , r.t
ITC
+
H
N
O
tBu
N
H
F3C
CF3
N
H
S
TU7
. HCl F3C
CF3
NCS
TEA, THF
4 h , r.t
ITC
+
H
N
O
tBu
N
H
F3C
CF3
N
H
S
TU7 NH2
tBu
O
H
N
I 7.2
. HCl ITC I 7.2 A flame-dried Schlenk flask was charged with dry THF, then I 7.2 (95.5 mg, 0.43 mmol)
was added followed by TEA (0.18 mL, 1.29 mmol). The mixture was stirred under
nitrogen for about 10 minutes and ITC (0.08 mL, 0.43 mmol) was added dropwise. The
reaction mixture was allowed to react at ambient temperature under nitrogen overnight. The solvent was removed using a rotavap and the residue was purified using column
chromatography using ethyl acetate / hexanes (1:2) as an eluant. TU 7, yellow white
powder. yield: 57 %. NMR spectra given below. HRMS: calc. (C19H25F6N3OS+H)+=
458.16; found m/z = 458.16. 332 Synthesis of bis thiourea H-bond donor TU 9. NH2
BocHN
NHBoc
O
HO
+
HBTU, DIPEA
DCM. r.t
Boc-DAP
I 9.1
BocHN
N
H
O
NHBoc
Boc-L-Phenylglycine NH2
BocHN
NHBoc
O
HO
+
HBTU, DIPEA
DCM. r.t
Boc-DAP
I 9.1
BocHN
N
H
O
NHBoc
Boc-L-Phenylglycine NHBoc BocHN BocHN HO Boc-DAP I 9.1 A 25 mL flame-dried Schlenk flask was charged with dry DCM (10 mL). Boc-L-α-
phenylglycine (108 mg, 0.43 mmol), N,N,N′,N′-Tetramethyl-O-(1H-benzotriazol-1-
yl)uronium hexafluorophosphate (HBTU) (163.1 mg, 0.43 mmol), and N,N-
Diisopropylethylamine (DIPEA) (0.23 mL, 1.29 mmol) was added to the flask and the
reaction was stirred under nitrogen. N-Boc-1,3-propanediamine (Boc-DAP) was then
added (0.082 mL, 0.47 mmol) to the flask. The reaction was allowed to stir under nitrogen
overnight. Afterwards, the reaction mixture was concentrated under vacuum. The residue
was purified with column chromatography on silica gel using ethyl acetate. 4 N HCl in Dioxane
2h, r.t
I 9.2
H2N
N
H
O
NH2
. Synthesis of mono thiourea H-bond donor TU 7. 2HCl
I 9.1
BocHN
N
H
O
NHBoc 4 N HCl in Dioxane
2h, r.t
I 9.1
BocHN
N
H
O
NHBoc I 9.1
BocHN
N
H
O
NHBoc I 9.2
H2N
N
H
O
NH2
. 2HCl 4 N HCl in Dioxane I 9.1 I 9.2 A round bottom flask was charged with 4 N HCl in 1,4-dioxane (1.40 mL, 5.59 mmol of
HCl), followed by the addition of I 9.2 (175 mg, 0.43 mmol). The content was stirred for
2 hours. Next, the volatiles were removed via vacuum transfer. The residue was subjected
to high vacuum. +
F3C
CF3
NCS
TEA, THF
4 h , r.t
ITC
TU9
N
H
S
N
H
N
H
O
H
N
CF3
CF3
H
N
CF3
F3C
S
I 9.2
H2N
N
H
O
NH2
. 2HCl ITC TU9 333 A flame-dried Schlenk flask was charged with dry THF, then I 9.2 (89 mg, 0.43 mmol)
was added followed by TEA (0.35 mL, 2.6 mmol). The mixture was stirred under nitrogen
for about 10 minutes and Isothiocyanate (ITC) (0.16 mL, 0.86 mmol) was added dropwise. The reaction mixture was allowed to react at ambient temperature under nitrogen overnight. The solvent was removed using a rotavap and the residue was purified with column
chromatography on silica gel using ethyl acetate / hexanes (1:1). TU 9, white powder. yield: 41 %. NMR spectra given below. HRMS: calc. (C29H23F12N5OS2+H)+= 750.12;
found m/z = 750.12. A flame-dried Schlenk flask was charged with dry THF, then I 9.2 (89 mg, 0.43 mmol)
was added followed by TEA (0.35 mL, 2.6 mmol). The mixture was stirred under nitrogen
for about 10 minutes and Isothiocyanate (ITC) (0.16 mL, 0.86 mmol) was added dropwise. C28H22F12N5OS2+H)+= 737.11; found m/z = 737.11. RESULTS AND DISCUSSIONS A leucine derivatized chiral bis thiourea, TU1, (figure 8.3) was studied for the stereo-
controlled ring-opening polymerization (sROP) of rac-LA. To investigate the
polymerization characteristics of TU1 as stereoselective catalysts for ROP, Me6TREN
(0.0095 mmol) was dissolved in dichloromethane (DCM) and added to a solution of DCM
containing TU1 (0.0095 mmol), rac-LA (0.475 mmol, 0.95 M) and benzyl alcohol (BnOH)
(0.0048 mmol) at room temperature in a glovebox. Under these conditions, 90% of the
monomer was converted in less than 5 h producing crystalline poly(lactide) (PLA), with
predictable number average molar mass Mn = 17.5 kg/mol consistent with the monomer to
initiator ratio [M] o/[I] o and narrow molecular weight distribution, Mw/Mn = 1.05; (Table
8.1, entry 1). This system produces polymers with high chain-end fidelity confirmed by
Gel permeation chromatography (GPC) (figure 8.6). The polymerization exhibits “living”
character showing linear increment of molecular weight with conversion (figure 8.7) and
possess the ability to produce polymers with predictable molecular weights and narrow
Mw/Mn £ 1.05 upto [M] o/[I] o= 200 (Table 8.1). Analysis of a sample prepared under
similar conditions described above by MALDI-TOF mass spectrometry showed a single
series of ions separated by m/z 144, revealing no to minimal transesterification of the
polymer backbone (figure 8.8) suggesting high selectivity of the catalyst towards the
monomer vs the polymer. A leucine derivatized chiral bis thiourea, TU1, (figure 8.3) was studied for the stereo-
controlled ring-opening polymerization (sROP) of rac-LA. To investigate the
polymerization characteristics of TU1 as stereoselective catalysts for ROP, Me6TREN
(0.0095 mmol) was dissolved in dichloromethane (DCM) and added to a solution of DCM
containing TU1 (0.0095 mmol), rac-LA (0.475 mmol, 0.95 M) and benzyl alcohol (BnOH)
(0.0048 mmol) at room temperature in a glovebox. Under these conditions, 90% of the
monomer was converted in less than 5 h producing crystalline poly(lactide) (PLA), with
predictable number average molar mass Mn = 17.5 kg/mol consistent with the monomer to
initiator ratio [M] o/[I] o and narrow molecular weight distribution, Mw/Mn = 1.05; (Table
8.1, entry 1). This system produces polymers with high chain-end fidelity confirmed by
Gel permeation chromatography (GPC) (figure 8.6). The polymerization exhibits “living”
character showing linear increment of molecular weight with conversion (figure 8.7) and
possess the ability to produce polymers with predictable molecular weights and narrow
Mw/Mn £ 1.05 upto [M] o/[I] o= 200 (Table 8.1). Synthesis of bis thiourea H-bond donor TU 10. NH2
BocHN
+
HBTU, DIPEA
DCM. r.t
Boc-DAP
I 10.1
Boc-L-Proline
N
O
Boc
HO
N
O
Boc
H
N
H
N
Boc I 10.1
N
O
Boc
H
N
H
N
Boc BocHN Boc-L-Proline Boc-L-Proline I 10.1 Boc-DAP Intermediate product I 10.1 was synthesized according to an adapted literature procedure. Intermediate product I 10.1 was synthesized according to an adapted literature procedure. Intermediate product I 10.1 was synthesized according to an adapted literature procedure. A 25 mL flame-dried Schlenk flask was charged with dry DCM (10 mL). Boc-L-proline
(108
mg,
0.43
mmol),
N,N,N′,N′-Tetramethyl-O-(1H-benzotriazol-1-yl)uronium
hexafluorophosphate (HBTU) (163.1 mg, 0.43 mmol), and N,N-Diisopropylethylamine
(DIPEA) (0.23 mL, 1.29 mmol) was added to the flask and the reaction was stirred under
nitrogen. N-Boc-1,3-propanediamine (Boc-DAP) was then added (0.082 mL, 0.47 mmol)
to the flask. The reaction was allowed to stir under nitrogen overnight. Afterwards, the
reaction mixture was washed with water (3x 20mL), dried then concentrated under
vacuum. 334 4 N HCl in Dioxane
2h, r.t
I 10.2
. 2HCl
I 10.1
NH
O
H
N
H2N
N
O
Boc
H
N
H
N
Boc I 10.2
. 2HCl
NH
O
H
N
H2N 4 N HCl in Dioxane 2h, r.t A round bottom flask was charged with 4 N HCl in 1,4-dioxane (1.40 mL, 5.59 mmol of
HCl), followed by the addition of I 10.2 (175 mg, 0.43 mmol). The content was stirred for
2 hours. Next, the volatiles were removed via vacuum transfer. The residue was subjected
to high vacuum. +
F3C
CF3
NCS
TEA, THF
4 h , r.t
ITC
TU10
I 10.2
. 2HCl
N
O
H
N
H
N
H
N
S
N
H
S
F3C
CF3
CF3
CF3
NH
O
H
N
H2N TU10 A flame-dried Schlenk flask was charged with dry THF, then I 9.2 (89 mg, 0.43 mmol)
was added followed by TEA (0.35 mL, 2.6 mmol). The mixture was stirred under
nitrogen for about 10 minutes and ITC (0.16 mL, 0.86 mmol) was added dropwise. The
reaction mixture was allowed to react at ambient temperature under nitrogen overnight. The TEA salt was filtered and the solvent was removed using a rotavap and the residue
was purified with column chromatography on silica gel using ethyl acetate / hexanes
(1:1). TU 10, white powder. yield: 45.8 %. NMR spectra given below. HRMS: calc. (C28H22F12N5OS2+H)+= 737.11; found m/z = 737.11. 335 RESULTS AND DISCUSSIONS Analysis of a sample prepared under
similar conditions described above by MALDI-TOF mass spectrometry showed a single
series of ions separated by m/z 144, revealing no to minimal transesterification of the
polymer backbone (figure 8.8) suggesting high selectivity of the catalyst towards the
monomer vs the polymer. Since the main goal of this work was to establish a stereo selective catalyst for ROP of rac Since the main goal of this work was to establish a stereo-selective catalyst for ROP of rac-
LA, the microstructure of the PLA produced using rac-LA with our catalyst system was
investigated. This was determined by 1H homonuclear decoupled NMR spectroscopy 336 conducted at 50o C by analyzing the methine region of PLA and calculating the probability
of forming meso dyads (Pm); Pm(ESC) = 0.87 using ESC statistical model and Pm(CEC) = 0.80
using CEC statistical model using non-Bernoullian statistics and Bernoullian statistics as
reported elsewhere (Figures 8.9).1,16,17 Analysis of the polymer produced using differential
scanning calorimetry (DSC) (Tm = 168 °C) (Figures 8.10) indicate characteristics of an
isotactic crystalline polymer. Associating the information obtained from DSC and the
calculated Pm values the mechanism of stereoselectivity with our catalyst system
demonstrates a higher inclination towards an ESC mechanism rather than a CEC
mechanism. This deduction was reached due to the high Tm of our polymer (Table 8.1,
entry 1) usually shown by PLA with Pm ≥ 0.81.2,7,19 The stereoselectivity factor (s = kD/kL. = 1.8) of the polymerization in the presence of TU1/Me6TREN, was determined by
analyzing the unreacted monomer at 47% monomer conversion using chiral HPLC (figure
8.12). The analysis revealed that in the presence of TU1, D-LA was favored, as displayed
by the reduction of the signal associated with D-LA. A kinetic experiment was then conducted to confirm this observation by polymerizing D-
LA, L-LA and rac-LA separately with TU1/ Me6TREN. The first order plot for the
polymerization of D-LA, L-LA and rac-LA (figure 8.4a) show preferential rate acceleration
of the polymerization of D-LA vs L-LA and rac-LA, consistent with the chiral HPLC
analysis. However, the selectivity factor obtained using corresponding kobs from the first
order plots (s = kobs D-LA/ kobs L-LA = 3.4) is higher than what was obtained using chiral
HPLC. RESULTS AND DISCUSSIONS Conducting reactions at cold temperatures (-75oC) is another technique used to enhance
selectivity in sROP. We decided to make use of this approach but at much milder
conditions compared to temperatures reported thus far. Since our catalyst system already
showed a moderately good stereoselectivity at room temperature, we analyzed our
polymerization system at -15oC. In the presence of Me6TREN and t-TACN (relatively
weak bases) the polymerization rates diminished, but still could be considered faster than
other reported organocatalysts that follow ESC mechanism at room temperature,10,13 but
the stereoselectivity enhanced significantly (Table 2, entry 1,2) compared to that at room
temperature. When these reactions were performed with TU1 in the presence of stronger
bases like BEMP and MTBD, the polymerization reached 90 % conversion in 90 min and
60 min respectively, producing highly isotactic polymers with good control over Mn and
Mw/Mn (Table 2, entry 3,4). Previous studies report BEMP by itself as a successful catalyst
for sROP of rac-LA to produce highly isotactic PLA within few minutes. However, the
reports indicate limitations with respect to requirement of harsh conditions of reaction
temperatures (-75oC) to achieve high stereoselectivity.8 This was also seen in our work,
when the polymerization was conducted with BEMP in the absence of TU1 at -15oC 90 %
monomer conversion was achieved in 5 min, but the resulting polymer showed no melting
peak, indicating the formation of atatctic amorpous PLA. This observation indicated that
the presence of TU1 is crucial in producing isotactic polymer at less harsh conditions of -
15oC or room temperature. In contrast to weak bases in the presence of strong bases, we
believe the polymerization proceeds preferentially via CEC mechanism. This was depicted Conducting reactions at cold temperatures (-75oC) is another technique used to enhance
selectivity in sROP. We decided to make use of this approach but at much milder
conditions compared to temperatures reported thus far. Since our catalyst system already
showed a moderately good stereoselectivity at room temperature, we analyzed our
polymerization system at -15oC. In the presence of Me6TREN and t-TACN (relatively
weak bases) the polymerization rates diminished, but still could be considered faster than
other reported organocatalysts that follow ESC mechanism at room temperature,10,13 but
the stereoselectivity enhanced significantly (Table 2, entry 1,2) compared to that at room
temperature. RESULTS AND DISCUSSIONS Interestingly, the first order plot for the ROP of rac-LA exhibits two discrete slopes
(figure 8.4a) (kobs1 = 0.009, kobs2 = 0.006), selectivity factor calculated using these kobs
values (s = kobs 1/ kobs 2 = 1.5) is more similar to that obtained from chiral HPLC analysis, 337 indicating that in the case of rac-LA that comprises of 1:1 ratio of D-LA and L-LA, when
TU1/Me6TREN cocatalyst system is used initially the more selective monomer (D-LA) is
consumed, but when the D-LA concentration is reduced in the course of the polymerization
there is a strong competition between D-LA and L-LA to bind to the catalyst and hence we
observe a decline in selectivity. To determine the effect of H-bond donor : H-bond acceptor ratio in stereoselective ROP,
rac-LA was polymerized with TU1/Me6TREN, where the ratio between thiourea and base
was changed from 1:1 to 2:1 and 3:1 respectively, no significant change was seen in the
former instance (Table 8.1, entry 2). However, a slight enhancement in Tm and Pm and a
decline in rate of polymerization was observed in the latter case when the TU1/Me6TREN
ratio was changed to 3:1 (Table 8.1, entry 3) indicating 1:1 ratio of thiourea and base to be
ideal with respect to maintaining stereoselectivity and enhancing rates. Despite these
observations it is worth to note that chiral bis-thiourea TU1 reported here in, show
significantly faster rates compared to other organocatalysts reported thus far that show
similar stereoselectivity and follow ESC controlled sROP at room temperature.10,13 With the motivation of further optimizing the stereoselectivity and enhancing the rate of
reaction, a variety of bases from weak to strong in combination with TU1 were screened
at room temperature (Table 8.1) and at cold temperatures (-15oC) (Table 8.2). When the
polymerizations were conducted at room temperature with TU1 and t-TACN or PMDTA,
an enhanced rate was seen in the presence of t-TACN (Table 8.11 , entry 6), and with
PMDTA the reaction slowed down than in the presence of Me6TREN and reached
equilibrium at 75% monomer conversion (Table 8.1 , entry 7). However, in both cases there 338 was no observed enhancement in stereoselectivity, as indicated by the Pm values and the
Tm of the produced PLA. was no observed enhancement in stereoselectivity, as indicated by the Pm values and the
Tm of the produced PLA. RESULTS AND DISCUSSIONS When these reactions were performed with TU1 in the presence of stronger
bases like BEMP and MTBD, the polymerization reached 90 % conversion in 90 min and
60 min respectively, producing highly isotactic polymers with good control over Mn and
Mw/Mn (Table 2, entry 3,4). Previous studies report BEMP by itself as a successful catalyst
for sROP of rac-LA to produce highly isotactic PLA within few minutes. However, the
reports indicate limitations with respect to requirement of harsh conditions of reaction
temperatures (-75oC) to achieve high stereoselectivity.8 This was also seen in our work,
when the polymerization was conducted with BEMP in the absence of TU1 at -15oC 90 %
monomer conversion was achieved in 5 min, but the resulting polymer showed no melting
peak, indicating the formation of atatctic amorpous PLA. This observation indicated that
the presence of TU1 is crucial in producing isotactic polymer at less harsh conditions of -
15oC or room temperature. In contrast to weak bases in the presence of strong bases, we
believe the polymerization proceeds preferentially via CEC mechanism. This was depicted 339 by the first order plots for the polymerization D-LA and L-LA with TU1/BEMP (Figure
8.5) where no significant difference between the kobs values were observed like in the case
of weak bases. Taking the observation thus far in to consideration Me6TREN was used as the base for the
rest of the study. To comprehend the relationship between the electronics of chiral bis
thioureas and its activity in sROP, a variety of thioureas (Figure 8.3) were studied using
Me6TREN as a base at room temperature. When the polymerization was conducted with
achiral thiourea TU8/Me6TREN, atactic PLA was produced (suggested by DSC analysis)
where no melting peak was observed, and the catalyst showed no preference towards L-LA
or D-LA (Figure 8.4b), indicating that the chiral moiety is an essential component for its
activity as a stereoselective catalyst. Catalyst TU9 and TU10 was synthesized bearing
slightly different chiral moieties. In the presence of TU9 rac-LA was rapidly converted to
polymer, but the transformation lack stereoselectivity. TU10 carrying a proline group
produced highly isotactic PLA, However, the transformation was much slower than with
TU1 under similar reaction conditions. When TU2 with a strong electron withdrawing
(EW) group on para position was studied (Table 8.1, entry 10), the reaction reached 90%
monomer conversion at a slightly slower rate than TU1 and exhibited less stereo control. RESULTS AND DISCUSSIONS Polymerization conducted with TU3 where the EW CF3 groups were replaced by electron
donating (ED) CH3 groups, there was no observed conversion in 24 h, this phenomenon is
likely a consequence of the diminished polarity of thiourea making it a poor H-bond
donor.15,20 Making use of these observations we then designed catalyst TU4 with EW
groups closer to the chiral center and ED groups away from the chiral center with the
intention of forcing the monomer to selectively bind to the thiourea moiety close to the Taking the observation thus far in to consideration Me6TREN was used as the base for the
rest of the study. To comprehend the relationship between the electronics of chiral bis
thioureas and its activity in sROP, a variety of thioureas (Figure 8.3) were studied using
Me6TREN as a base at room temperature. When the polymerization was conducted with
achiral thiourea TU8/Me6TREN, atactic PLA was produced (suggested by DSC analysis)
where no melting peak was observed, and the catalyst showed no preference towards L-LA
or D-LA (Figure 8.4b), indicating that the chiral moiety is an essential component for its
activity as a stereoselective catalyst. Catalyst TU9 and TU10 was synthesized bearing
slightly different chiral moieties. In the presence of TU9 rac-LA was rapidly converted to
polymer, but the transformation lack stereoselectivity. TU10 carrying a proline group
produced highly isotactic PLA, However, the transformation was much slower than with
TU1 under similar reaction conditions. When TU2 with a strong electron withdrawing
(EW) group on para position was studied (Table 8.1, entry 10), the reaction reached 90%
monomer conversion at a slightly slower rate than TU1 and exhibited less stereo control. Polymerization conducted with TU3 where the EW CF3 groups were replaced by electron
donating (ED) CH3 groups, there was no observed conversion in 24 h, this phenomenon is
likely a consequence of the diminished polarity of thiourea making it a poor H-bond
donor.15,20 Making use of these observations we then designed catalyst TU4 with EW
groups closer to the chiral center and ED groups away from the chiral center with the
intention of forcing the monomer to selectively bind to the thiourea moiety close to the 340 sterically hindered chiral center. In the presence of TU4 23 % of monomer was converted
to polymer in 14 h and the reaction reached equilibrium thereafter. RESULTS AND DISCUSSIONS In the presence of TU5
an analogous structure to TU4 the polymerization reaches 42 % conversion in 18 h and no
further conversion was observed. We believe the reason for low conversion with TU4 &
TU5 is lack of internal activation of the thiourea moiety making it function more like a
mono thiourea rather than a bis thiourea suggested by NMR binding studies (figure 8.9). The difference in conversion with TU4 vs TU5 could be a consequence of position of the
bulky group on the catalyst. To confirm this observation chiral mono thiourea TU7 was
synthesized and studied with Me6TREN as a base, the polymerization reaches equilibrium
at 20% monomer conversion in 24 h corroborating our observation. With the aim of further enhancing the rate by manipulating the thiourea catalyst and taking
advantage of a recent discovery by our group where the 5 atom linkers between thiourea
moieties showed the fastest rates in bis-thiourea systems,15 we synthesized TU6, a leucine
functionalized chiral thiourea with only 5 atoms between the thiourea moieties. As
anticipated in the presence of TU6/Me6TREN, fastest rates were observed (Table 8.1, entry
13), yet the polymerization lack stereo control making it unfit to function as a
stereoselective catalyst for this transformation. Understanding the mode of monomer activation is critical in comprehending the
mechanism of stereoselectivity. Thiourea catalyst in the presence of weak bases are known
to catalyze ROP of LA via neutral H-bonding mechanism, where LA was activated by the
internally activated bis-thiourea, and the chain end by the base (scheme 8.1).12 Our group
revealed that even in the presence of weak bases ROP of LA can proceed through an 341 imidate H-bonding mechanism depending on the acidity of the thiourea.15 Therefore,
grasping the mechanism of catalyst activation is crucial to explain the rate enhancement by
some thioureas, and why in the presence of others no enhancement of rates or
stereoselectivity was observed. Replicating an NMR experiment to determine imidate or
neutral H-bonding mechanism, thioureas TU1-TU5, with and without base was compared.3
TU1 and TU2, both show convergence of the aromatic and NH peaks (Figures 8.13)
suggesting an imidate nature.3,20 Lack of polymerization in the presence of TU3,
corroborates with the NMR experiment, where no to minimal peak shifts were observed in
the downfield region, suggesting minimum interaction between the base and TU3. RESULTS AND DISCUSSIONS In the
presence of Me6TREN, TU4 and TU5, exhibit broadening of NH peaks associated with
the thiourea moiety and show a slight downfield shift of the ortho protons indicating neutral
H-bonding mechanism.20 Accordingly, our observations revealed that bis-thiourea chiral
catalyst that follow imidate mediated H-bonding ROP show enhanced rates and better
stereo-control than the slower catalysts that follow neutral H-bonding mechanism. To
further understand the mechanism of stereoselectivity, ratio between the peak intensities of
the methine region of the 1H homonuclear decoupled NMR was determined. Previous
reports indicate that if the polymerization followed CEC mechanism relative tetrad
intensities would be [mrm] : [mrm] : [rmm] 1:1:1 and if it followed ESC [rmr] : [mmr] :
[rmm] : [mrm] 1:1:1:2.2 However, after close analysis of the polymer produced in the
presence of TU1/Me6TREN (Table 8.1, entry 1) at room temperature, the relative tetrad
intensities (Figure 8.8) do not follow either one of the above patterns, suggesting both
mechanisms prevail in the polymerization under the conditions reported here in. However,
a higher inclination towards ESC mechanism is seen when we associate the Pm values with 342 the Tm obtained for PLA and by considering the kinetic resolution seen when D-LA and L-
LA was polymerized using TU1. Apart from the reduced stereo-seletivity of the
transformation, a major contributor of stereo-error during the course of polymerization is
epimerization of rac-LA that can occur in the presence of bases.2 Close monitoring of the
ROP of rac-LA at room temperature at 90% monomer conversion revealed no to minimum
epimerization, suggesting negligible contribution towards depressing of the Pm. 343 CONCLUSION In summary, the bis-chiral thiourea bearing a tert-butyl leucine derivative (TU1) has been
shown to be a highly effective enantio-selective catalysts that promotes fast stereo-selective
ROP of rac-LA at room temperature in the presence of Me6TREN and at cold temperatures
(-15 oC) with BEMP. The co-catalysts system not only shows high enantio-selectivity but
also exhibits living behavior and produces polymers with precise control of molecular
weight and narrow molecular weight distribution. Even though the catalysts system
doesn’t produce perfectly isotactic PLA, to our knowledge the system reported herein show
faster rates and comparable stereoselectivity at milder conditions compared to other
organo-catalysts that have been reported thus far. We also believe there is potential for
further manipulation of the catalysts design to improve the stereo-selectivity of these bis-
chiral thiourea catalysts systems and build a library of chiral catalysts for the
polymerization of other cyclic monomers bearing chiral functionality. 344 LIST OF REFERENCES (1)
Stanford, M. J.; Dove, A. P. Stereocontrolled Ring-Opening Polymerisation of
Lactide. Chem. Soc. Rev. 2010, 39 (2), 486–494. (2)
Orhan, B.; Tschan, M. J. L.; Wirotius, A. L.; Dove, A. P.; Coulembier, O.; Taton,
D. Isoselective Ring-Opening Polymerization of Rac-Lactide from Chiral
Takemoto’s Organocatalysts: Elucidation of Stereocontrol. ACS Macro Lett. 2018,
7 (12), 1413–1419. (3)
Dharmaratne, N. U.; Pothupitiya, J. U.; Bannin, T. J.; Kazakov, O. I.; Kiesewetter,
M. K. Triclocarban: Commercial Antibacterial and Highly Effective H-Bond
Donating Catalyst for Ring-Opening Polymerization. ACS Macro Lett. 2017, 6 (4),
421–425. (4)
Fastnacht, K. V.; Spink, S. S.; Dharmaratne, N. U.; Pothupitiya, J. U.; Datta, P. P.;
Kiesewetter, E. T.; Kiesewetter, M. K. Bis- and Tris-Urea H-Bond Donors for
Ring-Opening Polymerization: Unprecedented Activity and Control from an
Organocatalyst. ACS Macro Lett. 2016, 5 (8), 982–986. (5)
Pothupitiya, J. U.; Dharmaratne, N. U.; Jouaneh, T. M. M.; Fastnacht, K. V.;
Coderre, D. N.; Kiesewetter, M. K. H-Bonding Organocatalysts for the Living,
Solvent-Free Ring-Opening Polymerization of Lactones: Toward an All-Lactones,
All-Conditions Approach. Macromolecules 2017, 50 (22), 8948–8954. (6)
Zhong, Z.; Dijkstra, P. J.; Feijen, J. Controlled and Stereoselective Polymerization
of Lactide: Kinetics, Selectivity, and Microstructures. J. Am. Chem. Soc. 2003, 125
(37), 11291–11298. (6) 345 (7)
Kan, Z.; Luo, W.; Shi, T.; Wei, C.; Han, B.; Zheng, D.; Liu, S. Facile Preparation
of Stereoblock PLA from Ring-Opening Polymerization of Rac-Lactide by a
Synergetic Binary Catalytic System Containing Ureas and Alkoxides. Front. Chem. 2018, 6 (NOV), 1–9. (8)
Zhang, L.; Nederberg, F.; Messman, J. M.; Pratt, R. C.; Hedrick, J. L.; Wade, C. G. Organocatalytic Stereoselective Ring-Opening Polymerization of Lactide with
Dimeric Phosphazene Bases. J. Am. Chem. Soc. 2007, 129 (42), 12610–12611. (9)
Dove, A. P.; Li, H.; Pratt, R. C.; Lohmeijer, B. G. G.; Culkin, D. A.; Waymouth,
R. M.; Hedrick, J. L. Stereoselective Polymerization of Rac- and Meso-Lactide
Catalyzed by Sterically Encumbered N-Heterocyclic Carbenes. Chem. Commun. 2006, No. 27, 2881–2883. (10) Dove, A. P.; Pratt, R. C.; Lohmeijer, B. G. G.; Waymouth, R. M.; Hedrick, J. L. Thiourea-Based Bifunctional Organocatalysis: Supramolecular Recognition for
Living Polymerization. J. Am. Chem. Soc. 2005, 127 (40), 13798–13799. (11) Makiguchi, K.; Yamanaka, T.; Kakuchi, T.; Terada, M.; Satoh, T. Binaphthol-
Derived Phosphoric Acids as Efficient Chiral Organocatalysts for the Enantiomer-
Selective Polymerization of Rac-Lactide. Chem. Commun. 2014, 50 (23), 2883–
2885. (12) Spink, S. S.; Kazakov, O. I.; Kiesewetter, E. T.; Kiesewetter, M. K. (13) Zhu, J. B.; Chen, E. Y. X. From Meso-Lactide to Isotactic Polylactide: (13) Zhu, J. B.; Chen, E. Y. X. From Meso-Lactide to Isotactic Polylactide: Bond Donating Catalysts for Ring-Opening Polymerization: Mechanistic Insights
via (Non)Linear Free Energy Relationships. Macromolecules 2018, 51 (8), 3203–
3211. LIST OF REFERENCES Rate
Accelerated Organocatalytic Ring-Opening Polymerization of l -Lactide via the
Application of a Bis(Thiourea) H-Bond Donating Cocatalyst. Macromolecules
2015, 48 (17), 6127–6131. (13) Zhu, J. B.; Chen, E. Y. X. From Meso-Lactide to Isotactic Polylactide: (13) Zhu, J. B.; Chen, E. Y. X. From Meso-Lactide to Isotactic Polylactide: 346 Epimerization by B/N Lewis Pairs and Kinetic Resolution by Organic Catalysts. J. Am. Chem. Soc. 2015, 137 (39), 12506–12509. Epimerization by B/N Lewis Pairs and Kinetic Resolution by Organic Catalysts. J. Am. Chem. Soc. 2015, 137 (39), 12506–12509. Epimerization by B/N Lewis Pairs and Kinetic Resolution by Organic Catalysts. J. (14) Dharmaratne, N. U.; Pothupitiya, J. U.; Kiesewetter, M. K. The Mechanistic
Duality of (Thio)Urea Organocatalysts for Ring-Opening Polymerization. Org. Biomol. Chem. 2019, 17 (13), 3305–3313. (15) Hewawasam, R. S.; Kalana, U. L. D. I.; Dharmaratne, N. U.; Wright, T. J.; Bannin,
T. J.; Kiesewetter, E. T.; Kiesewetter, M. K. Bisurea and Bisthiourea H-Bonding
Organocatalysts for Ring-Opening Polymerization: Cues for the Catalyst Design. Macromolecules 2019, 52 (23), 9232–9237. (16) Coudane, J.; Ustariz-Peyret, C.; Schwach, G.; Vert, M. More about the
Stereodependence of DD and LL Pair Linkages during the Ring-Opening
Polymerization of Racemic Lactide. J. Polym. Sci. Part A Polym. Chem. 1997, 35
(9), 1651–1658. (17) Belleney, J.; Wisniewski, M.; Le Borgne, A. Influence of the Nature of the Ligand
on the Microstructure of Poly D,L-Lactides Prepared with Organoaluminum
Initiators. Eur. Polym. J. 2004, 40 (3), 523–530. (18) Reisman, S. E.; Doyle, A. G.; Jacobsen, E. N. Enantioselective Thiourea-
Catalyzed Additions to Oxocarbenium Ions. J. Am. Chem. Soc. 2008, 130 (23),
7198–7199. (19) Liu, S.; Li, H.; Zhao, N.; Li, Z. Stereoselective Ring-Opening Polymerization of
Rac-Lactide Using Organocatalytic Cyclic Trimeric Phosphazene Base. ACS
Macro Lett. 2018, 7 (6), 624–628. (20) Pothupitiya, J. U.; Hewawasam, R. S.; Kiesewetter, M. K. Urea and Thiourea H- 347 Bond Donating Catalysts for Ring-Opening Polymerization: Mechanistic Insights
via (Non)Linear Free Energy Relationships. Macromolecules 2018, 51 (8), 3203–
3211. 348 entry
TU/base
[LA]/[BnOH]/[cat]/[base]
Time (min)
Conv. LIST OF REFERENCES %
Mn (g/mol)
Mw/Mn
Pm
Tm
ESC
CEC
1
TU1/Me6TREN
100/1/2/2
281
90
17,500
1.05
0.87
0.80
168
2
TU1/Me6TREN
100/1/2/1
354
90
17,600
1.05
0.87
0.81
168
3
TU1/Me6TREN
100/1/3/1
200
90
18,500
1.05
0.89
0.83
169
4
TU1/Me6TREN
100/2/2/2
90
91
9,500
1.04
0.86
0.80
161
5
TU1/Me6TREN
100/0.5/2/2
605
90
3,8000
1.04
0.88
0.81
159
6
TU1/t-TACN
100/1/2/2
165
90
19,000
1.04
0.85
0.77
156
7
TU1/PMDTA
100/1/2/2
1020
75
15,000
1.05
0.84
0.76
151
8
TU9/ Me6TREN
100/1/2/2
120
90
16,800
1.04
0.82
0.73
140
9
TU10/ Me6TREN
100/1/2/2
1140
84
0.88
0.80
10
TU2/Me6TREN
100/1/2/2
315
90
17,700
1.06
0.86
0.78
151
11
TU4/Me6TREN
100/1/2/2
840
23
6,000
1.34
0.85
0.77
-
12
TU5/Me6TREN
100/1/2/2
1080
42
0.81
0.72
13
TU6/Me6TREN
100/1/2/2
175
90
19,700
1.06
0.83
0.74
132 Table 8.1. Polymerization of rac-LA at room temperature. Reaction conditions: rac-LA
(0.475 mmol, 0.95M), benzyl alcohol (2 mol%), DCM. monomer conversion was
determined via 1H NMR. Mn and Mw/Mn were determined by GPC (CH2Cl2) versus
polystyrene standards. Pm determined by 1H homonuclear decoupled NMR at 50 oC. Tm
determined by DSC a explained in SI. entry
TU/base
[LA]/[BnOH]/[cat]/[base]
Time (min)
Conv. %
Mn (g/mol)
Mw/Mn
Pm
Tm
ESC
CEC
1
TU1/Me6TREN
100/1/2/2
480
90
17,700
1.06
0.92
0.87
184
2
TU1/t-TACN
100/1/2/2
240
89
17,600
1.05
0.92
0.88
183
3
TU1/BEMP
100/1/2/2
90
90
16,700
1.07
0.91
0.86
186
4
TU1/MTBD
100/1/2/2
60
91
16,600
1.08
0.90
0.86
184
5
BEMP
100/1/2/2
5
90
17,200
1.06
0.79
0.74
- Table 8.2. Polymerization of rac-LA at -15o C. Reaction conditions: rac-LA (0.475 mmol, Table 8.2. Polymerization of rac-LA at -15o C. Reaction conditions: rac-LA (0.475 mmol,
0.95M), benzyl alcohol (2 mol%), DCM. monomer conversion was determined via 1H
NMR. Mn and Mw/Mn were determined by GPC (CH2Cl2) versus polystyrene standards. Pm
determined by 1H homonuclear decoupled NMR at 50 oC. Tm determined by DSC a
explained in SI. 349 Scheme 8.1. a. Neutral H-bonding mediated ROP of LA. b. LIST OF REFERENCES Imidtae H-bonding mediated
ROP of LA
O
O
O
O
+
OH
O
O
O
O
S
N
H
R
R
N
H
R
R
HN
S
N
H
O
H
O
O
O
O
O H
n
O
O
O
O
S
N
R
R
N
H
R
R
HN
S
N
H
O
H
BASE
BASE H
O
O
O
O
S
N
R
R
N
H
R
R
HN
S
N
H
O
H
BASE H
O
O
O
O
+
OH
O
O
O
O
O H
n
BASE
TU
TU
BASE
a
b O
O
O
O
+
OH
O
O
O
O
S
N
H
R
R
N
H
R
R
HN
S
N
H
O
H
O
O
O
O
O H
n
BASE
TU
BASE
a Scheme 8.1. a. Neutral H-bonding mediated ROP of LA. b. Imidtae H-bonding mediated
ROP f LA
O
O
O
O
S
N
R
R
N
H
R
R
HN
S
N
H
O
H
BASE H
O
O
O
O
S
N
R
R
N
H
R
R
HN
S
N
H
O
H
BASE H
O
O
O
O
+
OH
O
O
O
O
O H
n
BASE
TU
b O
O
O
O
S
N
R
R
N
H
R
R
HN
S
N
H
O
H
BASE H
O
O
O
O
S
N
R
R
N
H
R
R
HN
S
N
H
O
H
BASE H
O
O
O
O
O H
n
SE
U Scheme 8.1. a. Neutral H-bonding mediated ROP of LA. b. Imidtae H-bonding mediated
ROP of LA Figure 8.1. LIST OF REFERENCES Microstructures of PLA formed by the polymerization of rac-LA
O
O
O
O
O
O
O
O
S
S
R
R
L-LA
D-LA
I
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
OH
R
R
R
R
S
S
S
S
Isotactic stereoblock PLA
I
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
OH
R
R
S
S
R
R
S
S
Heterotactic PLA
I
O
O
O
O
O
O
O
OH
R
R
R
R
Isotactic poly D-LA
I
O
O
O
O
O
O
O
OH
S
S
S
S
Isotactic poly L-LA
I
O
O
O
O
O
O
O
O
O
O
O
O
O
O
O
OH
R
R
S
S
S
S
R
R
Atactic PLA
rac LA Isotactic stereoblock PLA Figure 8.1. Microstructures of PLA formed by the polymerization of rac-LA 350 a. Chain end-control mechanism Figure 8.2. Mechanisms of stereocontrolled ROP
O
O
O
O
O
O
O
O
random process
O
O
O
O
OH
Bulky catalyst
I
I
Bulky catalyst
O
O
O
O
O
I
Bulky catalyst
O
O
O
O
O
O
O
O
O
O
O
O
OH
Chiral catalyst
I
I
Chiral
catalyst
O
O
O
O
I
Chiral
catalyst
Chiral
catalyst
Chiral
catalyst
Chiral
catalyst
Initiator
Initiator
selective process
O
b. Enantio-site control mechanism
a. Chain end control mechanism O
O
O
O
O
O
O
O
random process
O
O
O
O
OH
Bulky catalyst
I
I
Bulky catalyst
O
O
O
O
O
I
Bulky catalyst
Initiator b. Enantio-site control mechanism b. Enantio-site control mechanism Chiral catalyst Figure 8.2. Mechanisms of stereocontrolled ROP Figure 8.3. Thioureas and bases used in this study. LIST OF REFERENCES H
N
O
tBu
N
H
F3C
CF3
N
H
S
TU7
N
H
S
N
H
N
H
O
tBu
H
N
R2
R2
H
N
R1
R1
S
’R
R’
TU1 : R1 = R2 = CF3 R’ = H
TU2 : R1 = R2 = H R’ = NO2
TU3 : R1 = R2 = CH3 R’ = H
TU4 : R1 = CH3 R2 = CF3 R’ = H
TU5 : R1 = CF3 R2 = CH3 R’ = H
S
F3C
CF3
N
H
CF3
CF3
N
H
tBu
O
H
N
N
H
S
N
H
TU6
S
F3C
CF3
N
H
CF3
CF3
N
H
N
H
S
N
H
TU8
S
CF3
CF3
N
H
CF3
F3C
N
H
O
H
N
H
N
S
H
N
TU9
TU10
Bases
N
N
N
N
N
N
N
N
N
N
N
N
N
N
tBu
N
N P
N
tTACN
Me6TREN
PMDTA
MTBD
BEMP
S
CF3
CF3
HN
CF3
F3C
N
O
N
H
N
H
S
N
H
N
N
N
N
Me6TREN Figure 8.3. Thioureas and bases used in this study. 351 Figure 8.4. a. First order plots for the polymerization of D-LA, rac-LA and L-LA
respectively with TU1/ Me6TREN. b. First order plots for the polymerization of L-LA, D-
LA and rac-LA respectively with TU8/ Me6TREN. LIST OF REFERENCES y = 0.0691x - 0.0485
y = 0.0753x + 0.0011
y = 0.0726x - 0.0092
0
0.5
1
1.5
2
2.5
3
3.5
4
0
5
10
15
20
25
30
35
ln[LA]o/[LA]
time (min)
rac-LA+ BisTU (3C)
L-LA+ BisTU (3C)
D-LA+ BisTU (3C)
y = 0.025x + 0.0853
y = 0.0091x + 0.0805
y = 0.0062x + 0.4187
y = 0.0074x + 0.084
0
0.5
1
1.5
2
2.5
0
50
100
150
200
250
300
350
ln([LA]o/[LA])
time (min)
D-LA+ TU1
rac-LA+ TU1
rac-LA+ TU1
L-LA+ TU1 y = 0.0691x - 0.0485
y = 0.0753x + 0.0011
y = 0.0726x - 0.0092
0
0.5
1
1.5
2
2.5
3
3.5
4
0
5
10
15
20
25
30
35
ln[LA]o/[LA]
time (min)
rac-LA+ BisTU (3C)
L-LA+ BisTU (3C)
D-LA+ BisTU (3C) y = 0.025x + 0.0853
y = 0.0091x + 0.0805
y = 0.0062x + 0.4187
y = 0.0074x + 0.084
0
0.5
1
1.5
2
2.5
0
50
100
150
200
250
300
350
ln([LA]o/[LA])
time (min)
D-LA+ TU1
rac-LA+ TU1
rac-LA+ TU1
L-LA+ TU1 Figure 8.4. a. First order plots for the polymerization of D-LA, rac-LA and L-LA
respectively with TU1/ Me6TREN. b. First order plots for the polymerization of L-LA, D-
LA and rac-LA respectively with TU8/ Me6TREN. Figure 8.5. First order plots for the polymerization of D-LA, rac-LA and L-LA respectively with
TU1/ BEMP. y = 0.1918x - 0.002
y = 0.1806x + 0.0313
y = 0.0249x + 0.113
0
0.5
1
1.5
2
2.5
3
3.5
0
20
40
60
80
100
Time (min)
ln([LA]o/[LA])
L-LA
D-LA
rac-LA Figure 8.5. First order plots for the polymerization of D-LA, rac-LA and L-LA respectively with
TU1/ BEMP. 352 Figure 8.6. RI and UV GPC traces of the PLA initiated by 1-pyrenebutanol. Conditions: rac-LA
(0.95 M, 0.475 mmol), 1-pyrenebutanol (2mol%, 0.02mmol), TU1 (2mol%, 0.05 mmol),
Me6TREN (5 mol%, 0.05 mmol) in CH2Cl2. 17
17.5
18
18.5
19
19.5
20
20.5
21
21.5
22
RI
UV Figure 8.6. RI and UV GPC traces of the PLA initiated by 1-pyrenebutanol. Conditions: rac-LA
(0.95 M, 0.475 mmol), 1-pyrenebutanol (2mol%, 0.02mmol), TU1 (2mol%, 0.05 mmol),
Me6TREN (5 mol%, 0.05 mmol) in CH2Cl2. Me6TREN (5 mol%, 0.05 mmol) in CH2Cl2. Figure 8.7. Mn (blue) and Mw/Mn (orange) catalyzed ring-opening polymerization of rac-LA. LIST OF REFERENCES Conditions: rac-LA (0.95 M, 0.95 mmol), benzyl alcohol (1mol%, 0.0095 mmol), TU1 (2mol%,
0.019 mmol), Me6TREN (2mol%, 0.019 mmol) in CH2Cl2. 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
5000
10000
15000
20000
25000
0
20
40
60
80
100
Mw/Mn
Mn (g/mol)
conversion % 1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
0
5000
10000
15000
20000
25000
0
20
40
60
80
100
Mw/Mn
Mn (g/mol)
conversion % Figure 8.7. Mn (blue) and Mw/Mn (orange) catalyzed ring-opening polymerization of rac-LA. igure 8.7. Mn (blue) and Mw/Mn (orange) catalyzed ring-opening polymerization of rac-LA Conditions: rac-LA (0.95 M, 0.95 mmol), benzyl alcohol (1mol%, 0.0095 mmol), TU1 (2mol%,
0.019 mmol), Me6TREN (2mol%, 0.019 mmol) in CH2Cl2. 353 Figure 8.8. MALDI-TOF of the PLA resulting from TU1/Me6TREN cocatalyzed ROP of rac-LA. The peaks represent the whole repeat units m/z = (Na+ + benzyl alcohol + n*LA). [M
14+Na]
+
[M
15+Na]
+
[M
16+Na]
+ Figure 8.8. MALDI-TOF of the PLA resulting from TU1/Me6TREN cocatalyzed ROP of rac-LA. Figure 8.8. MALDI-TOF of the PLA resulting from TU1/Me6TREN cocatalyzed ROP of rac-LA. Th
k
t th
h l
t
it
/
(N + + b
l l
h l + *LA) The peaks represent the whole repeat units m/z = (Na+ + benzyl alcohol + n*LA). The peaks represent the whole repeat units m/z = (Na+ + benzyl alcohol + n*LA). Figure 8.9. Homonuclear decoupled 1H NMR spectrum (400 MHz, CDCl3) of the methine
region of PLA obtained from TU1 at 50 °C NMR (Table 8.1, entry 1)
Tetrad
Fitted Areas
Relative Fitted Areas
mmm
11086
0.739
mmr
721
0.048
rmm
1468
0.098
rmr
362
0.024
mrm
1358
0.091
Sum
14995
1.000 Figure 8.9. Homonuclear decoupled 1H NMR spectrum (400 MHz, CDCl3) of the methine
region of PLA obtained from TU1 at 50 °C NMR (Table 8.1, entry 1) 354 Figure 8.10. DSC thermograms of PLA obtained at a heating and cooling rate of 5°C/min
(2nd scan after annealing sample at 170 °C for 15 h), PLA produced by ROP at r.t (Table
8.1, entry 1). Figure 8.10. LIST OF REFERENCES DSC thermograms of PLA obtained at a heating and cooling rate of 5°C/min
(2nd scan after annealing sample at 170 °C for 15 h), PLA produced by ROP at r.t (Table
8.1, entry 1). Figure 8.10. DSC thermograms of PLA obtained at a heating and cooling rate of 5°C/min
(2nd scan after annealing sample at 170 °C for 15 h), PLA produced by ROP at r.t (Table
8.1, entry 1). Figure 8.11. DSC thermograms of PLA obtained at a heating and cooling rate of 5°C/min
(2nd scan after annealing sample at 170 °C for 15 h), PLA produced by ROP at -15oC (Table
8.2, entry 1). Figure 8.11. DSC thermograms of PLA obtained at a heating and cooling rate of 5°C/min
(2nd scan after annealing sample at 170 °C for 15 h), PLA produced by ROP at -15oC (Table
8.2, entry 1). 355 Figure 8.12. HPLC chromatograms of (run a ) L-LA, (run b) D-LA (run c ), rac-LA as a
reference (run d) and the unreacted monomer at 47 % monomer conversion determined
using a UV (254 nm) detector (Flow rate, 0.5 mL min-1; eluent, hexane/isopropanol =
/3
2
C )
50.2 %
49.7 %
59.2 %
40.7 % 50.2 %
49.7 % 59.2 %
40.7 % Figure 8.12. HPLC chromatograms of (run a ) L-LA, (run b) D-LA (run c ), rac-LA as a
reference (run d) and the unreacted monomer at 47 % monomer conversion determined
using a UV (254 nm) detector (Flow rate, 0.5 mL min-1; eluent, hexane/isopropanol =
7/3; temperature; 25 oC.). 7/3; temperature; 25 oC.). 7/3; temperature; 25 oC.). 356 Figure 8.13. Downfield portion of 1 H NMR spectra (400 MHz, ppm) of TU1-TU4 with
and without Me6TREN in CH2Cl2 using a DMSO-d6 capillary.
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!! LIST OF REFERENCES
!!
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!!
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Turn down - turn up: a simple and low-cost protocol for preparing platelet-rich plasma
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KEYWORDS: Platelet-Rich Plasma; Regenerative Medicine; Orthopedics. KEYWORDS: Platelet-Rich Plasma; Regenerative Medicine; Orthopedics. Turn down - turn up: a simple and low-cost protocol
for preparing platelet-rich plasma I Servico de Dor e Cuidados Paliativos, Grupo Hospitalar Conceicao, Hospital Nossa Senhora da Conceicao, Porto Alegre, RS, BR. II Centro de Pesquisa e
Gerenciamento da Dor, Clinica Univida, Canoas, RS, BR. III Laboratorio de Analises Clinicas, Grupo Hospitalar Conceicao, Hospital Nossa Senhora da
Conceicao, Porto Alegre, RS, BR. IV Public Health Institute, Medical School, Universidade do Porto, Porto, Portugal. V Servico de Reumatologia, Grupo
Hospitalar Conceicao, Hospital Nossa Senhora da Conceicao, Porto Alegre, RS, BR. Machado ES, Leite R, Santos CC, Artuso GL, Gluszczak F, Jesus LG, et al. Turn down - turn up: a simple and low-cost protocol for preparing platelet-rich
plasma. Clinics. 2019;74:e1132 s CC, Artuso GL, Gluszczak F, Jesus LG, et al. Turn down - turn up: a simple and low-cost protocol for preparing platelet-r
32 chado ES, Leite R, Santos CC, Artuso GL, Gluszczak F, Jesus LG, et al. Turn down - turn up: a simple and low-cost protocol
sma. Clinics. 2019;74:e1132 *Corresponding author. E-mail: ortospine@gmail.com *Corresponding author. E-mail: ortospine@gmail.com OBJECTIVE: To describe and analyze a new protocol for the extraction of platelet-rich plasma (PRP) for use in
clinical practice and compare this technique with methods that have been previously described in the medical
literature. METHODS: We extracted PRP from 20 volunteers using four different protocols (single spin at 1600 g, single
spin at 600 g, double spin at 300 and 700 g, and double spin at 600 and 900 g). In another group of
12 individuals, we extracted PRP with our new technique (named ‘turn down-turn up’) consisting of a double
spin (200 g and 1600 g) closed system using standard laboratory equipment (including an ordinary benchtop
centrifuge), where the blood remained in the same tube during all processes, reducing the risk of contamination. Platelet counts adjusted to baseline values were compared using analysis of covariance (ANCOVA). RESULTS: Using the four previously described protocols (mentioned above), we obtained concentrations of
platelets that were 1.15-, 2.07-, 2.18-, and 3.19-fold greater than the baseline concentration, respectively. With
the turn down-turn up technique, we obtained a platelet count that was 4.17-fold (95% confidence interval (CI):
3.09 to 5.25) greater than the baseline platelet count (p=0.063 compared with the double spin at 600 and
900 g method). The total cost of the disposable materials used in the extraction process was less than
US$10.00 per individual. ORIGINAL ARTICLE ORIGINAL ARTICLE Turn down - turn up: a simple and low-cost protocol
for preparing platelet-rich plasma CONCLUSION: In the present study, we described a simple and safe method for obtaining P
devices. Received for publication on December 28, 2018. Accepted for publi-
cation on May 10, 2019 Box 1 Turn Down-Turn Up PRP Protocol - Double Spin - Closed System:
1. Collect the desired volume (8.5 ml) of blood through peripheral
venous access directly into a vacuum tube with acid citrate dextrose
(ACD) (1.5 ml). 2. Equalize the remaining vacuum in the tube. 3. Centrifuge the tube at 200 g for 15 minutes with the tube cap
facing down (Figure 1). 4. Carefully remove the tube from the centrifuge and maintain the
tube in the downward position without turning the tube. 5. Under aseptic conditions, aspirate 3.5 ml of the hematic layer
through the rubber cap (Figure 2). 6. Turn the tube to an upright position (cap facing up). 7. Centrifuge the tube at 1600 g for 10 minutes with the lid facing up. 8. Under aseptic conditions, aspirate 3.5 ml of the superior portion of
the material (platelet-poor plasma, PPP). 9. Aspirate the desired amount of PRP (1-2 ml) from the lower portion
of the tube (Figure 3). The first step to carry out a clinical study on PRP is the
standardization of the process for collecting and preparing
the concentrate. Several previous studies have reported
different methods of obtaining PRP using different centrifu-
gation speeds and numbers of spins (11). Appropriate care
during collection and manipulation and control of tempera-
ture are also important to ensure that the early activation of
platelets does not occur (19). Some investigators have pro-
posed standard protocols for evaluating the quality of PRP,
mainly for reproducibility purposes and for the inclusion
of studies in systematic reviews and meta-analyses (20). In general, PRP preparation in clinical studies involves com-
plex and expensive protocols, and the majority of studies do
not provide sufficient information to allow for adequate
reproducibility. A detailed, precise, and stepwise description
of the PRP preparation protocol is required to allow com-
parisons between studies. In the present study, we aimed to describe and evaluate a
simple, inexpensive, and reproducible protocol for obtaining
PRP for use in clinical practice. Figure 1 - The tube must be inserted with the cap facing down. ’ INTRODUCTION Protocols 3 and 4, which were double
spin methods, consisted of centrifugation at 600 g (24,25)
and 300 g (16,26,27) for 5 minutes. After careful collection
of 2 ml of the lower portion of the plasma while avoiding
aspirating the buffy coat, the material was again centri-
fuged at 900 g for 15 minutes (protocol 3) or at 700 g for
17 minutes (protocol 4). demonstration of its potential tissue repair ability. Growth
factors present in platelets are responsible for a regenerative
stimulus. Vascular endothelial growth factor (VEGF), plate-
let-derived growth factor AB (PDGF-AB), and transforming
growth factor beta 1 (TGF-b1) are several growth factors
released by platelets that are responsible for tissue repair
(14). Cell proliferation, angiogenesis, and cell migration are
stimulated by these growth factors, resulting in tissue repair
and regeneration (15,16). The number of platelets per volume
of blood varies between individuals, and the expression of
growth factors is also not uniform (17). There is still no
absolute definition of the number of platelets that is required
for a regenerative stimulus. Ideally, the platelet concentra-
tion should be close to 1,000,000 platelets/mL, and studies
showing the best results in bone healing reported a plate-
let concentration that is 3 to 8 times greater than the basal
concentration (18). (21,22), and the samples were centrifuged at 1600 g for
3 minutes, while samples obtained by protocol 2 (23) were
centrifuged at 600 g for 5 minutes. Both protocols involved
single spin methods. Protocols 3 and 4, which were double
spin methods, consisted of centrifugation at 600 g (24,25)
and 300 g (16,26,27) for 5 minutes. After careful collection
of 2 ml of the lower portion of the plasma while avoiding
aspirating the buffy coat, the material was again centri-
fuged at 900 g for 15 minutes (protocol 3) or at 700 g for
17 minutes (protocol 4). In the second part of the study, we investigated our protocol
(‘turn down-turn up’) for obtaining PRP. The procedures are
described in Box 1. The estimated time for preparation of PRP
using this protocol was approximately 35 minutes. ’ INTRODUCTION minimally invasive therapies for orthopedics has led to the
use of biological therapies, especially platelet-rich plasma
(PRP), to optimize clinical outcomes and improve tissue
recovery (5). Studies on the therapeutic applications of PRP
have been conducted in several fields, such as maxillofacial
surgery (6), cardiovascular surgery (7), and plastic surgery
(8). In orthopedics, the clinical indications include hip and
knee osteoarthritis, rotator cuff pathologies (8), epicondylitis
and tendinitis (9), fracture healing (10), and back pain (11). A recent meta-analysis pooled the results of clinical trials of
PRP injection in patients with knee osteoarthritis and demon-
strated that PRP is superior to intra-articular injections of
corticosteroids and hyaluronic acid (12). The incidence of articular degenerative diseases is increas-
ing (1), resulting in a substantial economic and social burden
(2). Even with advancements in understanding the biological
mechanisms of joint diseases, a therapy that controls or
reverses the degenerative process is not yet available in
clinical practice. Surgical procedures (arthroplasties and
arthrodesis) that are associated with high costs and a high
rate of complications remain the definitive options for these
types of lesions (3,4). The development of low-cost and PRP is defined as an autologous preparation obtained
from the centrifuged peripheral blood of patients with a
concentration that is 3-5 times greater than the basal con-
centration (13). Through the separation of blood components
(plasma, platelets, leukocytes and red blood cells) by centri-
fugation, platelets are located in the lower portion of the
plasma layer next to the hematic region. There has been
increasing interest in the therapeutic effects of PRP upon the Copyright & 2019 CLINICS – This is an Open Access article distributed under the
terms of the Creative Commons License (http://creativecommons.org/licenses/by/
4.0/) which permits unrestricted use, distribution, and reproduction in any
medium or format, provided the original work is properly cited. No potential conflict of interest was reported. 1 A low-cost protocol for preparing platelet-rich plasma
Machado ES et al. A low-cost protocol for preparing platelet-rich plasma
Machado ES et al. A low-cost protocol for preparing platelet-rich plasma
Machado ES et al. CLINICS 2019;74:e1132 CLINICS 2019;74:e1132 (21,22), and the samples were centrifuged at 1600 g for
3 minutes, while samples obtained by protocol 2 (23) were
centrifuged at 600 g for 5 minutes. Both protocols involved
single spin methods. Turn Down-Turn Up PRP Protocol - Double Spin - Closed System: ’ MATERIALS AND METHODS The first part of the study involved the reproduction of
four different protocols based on a literature review. Healthy
blood donors were selected from a hospital blood bank. After
explaining the research objectives to patients and obtaining
signed informed consent forms from the patients, 42.5 ml of
peripheral venous blood was obtained from each patient. For
coagulation analysis, blood was collected using blood col-
lection tubes (BD Vacutainer ACD Solution A Ref. 364606)
containing 3.2% sodium citrate at a volumetric ratio of 1.5 ml
of anticoagulant to 8.5 ml of blood. A Sorologic Kasvi
centrifuge (model K14-0815A) with a fixed angle rotor was
used. The blood samples were analyzed on a Sysmex XE5000
hematology counter prior to the centrifugation procedures to
establish the baseline values of platelets, red blood cells, and
leukocytes in each patient. After obtaining the concentrate,
a new count was obtained to enable the evaluation of the
platelet concentration factor (the ratio between platelet
counts in the concentrate and the original blood sample). The extraction of PRP was performed following four
different protocols. Protocol 1 was used to obtain samples
based on commercial kits mentioned in previous studies Figure 1 - The tube must be inserted with the cap facing down. 2 Figure 2 - Aspiration of the hematic layer with the cap facing
down. Figure 3 - The final appearance of the tube after the second spin. CLINICS 2019;74:e1132
A low-cost protocol for preparing platelet-rich plasma
Machado ES et al. A low-cost protocol for preparing platelet-rich plasma
Machado ES et al. A low-cost protocol for preparing platelet-rich plasma
Machado ES et al. CLINICS 2019;74:e1132 Figure 3 - The final appearance of the tube after the second spin. A low cost protocol for preparing platelet rich plasma
Machado ES et al. Figure 2 - Aspiration of the hematic layer with the cap facing
down. Figure 2 - Aspiration of the hematic layer with the cap facing
down. Figure 3 - The final appearance of the tube after the second spin. Figure 3 - The final appearance of the tube after the second spin. +700 g protocol yielded a platelet concentration that was
2.21 times greater than the basal concentration. A higher
concentration was obtained with the 600 g+900 g pro-
tocol that was 3.09 times greater than the basal concentration
(Table 1). ’ RESULTS For the first part of the study (the investigation of pre-
viously described protocols), 20 male donors aged 26 to
54 years (mean age: 39.9 years, standard deviation (SD):
9.9 years) were selected. The baseline counts of the blood
components were within the normal range of values (Table 1). The PRP extraction results are described in Table 1. For
the single spin protocols, the mean final concentration of
platelets was 1.17 times greater than the basal concentration
with the 1600 g protocol and 2.15 times greater than the
basal concentration with the 600 g protocol. The 300 g Ethics The present study was approved by the Institutional
Review Board of our institution (Hospital Nossa Senhora da
Conceic¸ão, Grupo Hospitalar Conceic¸ão) and registered at
Plataforma Brasil (the Brazilian government’s registry of
scientific studies) under CAAE (‘Certificado de Apresen-
tac¸ão de Apreciac¸ão Ética’, Certificate of Presentation of
Ethic Appreciation) number 53166416.1.0000.5530. Statistical analysis The platelet counts were compared with Student’s t-test
and analysis of covariance (adjusted for baseline platelet
counts) using IBM SPSS Statistics for Windows, Version 20.0
(IBM Corporation, Armonk, NY, USA). The 95% confidence
intervals (CIs) were estimated for the ratio between the PRP
and baseline concentrations. (
)
In the second part of the study (the investigation of the
turn down-turn up PRP protocol developed by our team),
another group of donors (10 males and 2 females) was selec-
ted (mean age: 38.7 years, SD: 9.9 years, range: 28-54 years). Our protocol achieved a mean platelet concentration that
was 4.07 times greater than the basal concentration with a
mean platelet count of 749x103 platelets/mL (Table 1). This
platelet concentration tended to be greater than that obtained
with the 600 g+900 g protocol (Student’s t-test, p=0.059;
ANCOVA adjusted for the baseline platelet count, p=0.063). Analysis of the PPP revealed negligible values (values
ranging from 1 to 16 x 103 cells/uL) of red and white blood
cells. The number of platelets and erythrocytes lost at the end
of the first centrifugation was also evaluated, and the median
count was 48.75 x 103 platelets/mL (26.4% of the baseline
platelet count), which varied from 29 to 66 x 103 platelets/mL. Therefore, an average of 73.6% of the total number of plate-
lets was recovered by our PRP preparation protocol. ’ DISCUSSION The use of PRP in various medical fields has resulted
in the exponential growth of the number of studies using
PRP therapy. In orthopedics, PRP serves as an interme-
diate between conservative and surgical treatments (28). 3 CLINICS 2019;74:e1132 Table 1 - Results of the platelet counts using the different PRP extraction techniques that were investigated in this study. First part of the study (the investigation of previously described protocols; N=20). Baseline
1600 g
(Protocol 1)
600 g
(Protocol 2)
300+700 g
(Protocol 3)
600+900 g
(Protocol 4)
Mean platelet count±SD (range of values)*
188.8±28.9
(152 to 248)
225.4±162.8
(17 to 524)
394.0±87.8
(202 to 524)
412.5±83.0
(249 to 594)
599.9±41.5
(355 to 1081)
Fold change relative to the baseline value±SD (95% CI)
------------
1.15±0.77
(0.813 to 1.49)
2.07±0.30
(1.94 to 2.2)
2.18±0.29
(2.05 to 2.31)
3.19±0.91
(2.79 to 3.59)
Second part of the study (the investigation of the turn down-turn up technique); N=12. Baseline
Turn down-turn up
Mean Platelet count±SD (range of values)*
185.4±27.9 (152 to 225)
749.0±307.0 (426 to 1395)
Fold change relative to the baseline value±SD (95% CI)
----------
4.17±1.9 (3.09 to 5.25)
* values represent thousands of platelets per mL. CI: confidence interval. First part of the study (the investigation of previously described protocols; N=20). * values represent thousands of platelets per mL. CI: confidence interval. single and double spin protocols The protocols using double
spins were also investigated in this study but yielded
heterogeneous results. Centrifugation at 300 g followed
by 700 g achieved an intermediate platelet concentration
(2.18 times greater than the baseline concentration). How-
ever, in the original study conducted by Amable et al. (16),
who obtained platelets at concentrations up to 7 times
greater than the baseline concentration, all steps were
performed in a refrigerated centrifuge with temperatures
ranging from 8 to 19oC. The use of a refrigerated centrifuge
is justified because the plasma density and viscosity differ
at lower and higher temperatures (16). Since we aimed to
identify a reproducible protocol for easy clinical use, the
experiments that we did were conducted at room tempera-
ture (22oC), and the centrifuges were not refrigerated. The diversity of protocols causes difficulties in comparing
and/or reproducing results (13). Chahla et al. ’ DISCUSSION conducted a
systematic review of studies investigating the use of PRP for
the treatment of orthopedic pathologies and indicated that
only 10% of these studies provided comprehensive reporting
that included a clear description of the preparation protocol. They concluded that a detailed, precise, and stepwise
description of the PRP preparation protocol is required to
allow comparisons between studies and enable reproduci-
bility (11). The need for consensus on the minimum reporting
requirements for studies evaluating biologic treatments has
been suggested by the American Academy of Orthopedic
Surgeons. After a think tank symposium, a consensus of
experts was published listing the minimum data that should
be reported in studies to favor standardization of the
analyses (29). The minimum information for clinical studies
evaluating biologics in orthopedics (MIBO statement) is
available at the following web address: www.mibo-state-
ment.org. Some authors proposed methods of PRP classifica-
tion. A more comprehensive and comparative investigative
strategy has been proposed by Lana et al. (30): the MARSPILL
classification describes the method (custom-made or commer-
cial kit), activation, presence of red and white blood cells,
number of spins, platelet concentration and number, light
activation and image guidance of the application. This new
classification focuses on mononuclear cells, which are as
important as the platelet content due to their action on
neovasculogenesis and cellular proliferation. g
g
Among the previously established protocols investigated
in this study, the highest concentrations of platelets were
obtained using the method reported by Jo et al. (24). In their
original study, they achieved 633 x 103 platelets/uL, which
was 4.3 times greater than the basal concentration of platelets,
with a nonrefrigerated centrifuge. Using this method, we
obtained a platelet concentration that was 3.09 times greater
than the basal concentration. This difference may be explained
by several factors, which we briefly discuss here. The results
may have been influenced by the design of the centrifuge. Rotors with a fixed/nonfixed angle and the distance to the
center of the rotor may result in different forces, leading to
different concentration values, and the size of the blood tube
may also influence the results (25). In addition to the lack of standardization of the methods
to obtain PRP, the frequency and number of PRP injections
remain controversial. In previous studies, the protocols for
injections are highly variable, with up to 6 weekly applications
in the lumbar muscles for the treatment of back pain (11). A low-cost protocol for preparing platelet-rich plasma
Machado ES et al. follows the principles of low-speed centrifugation to pre-
serve the maximum volume of platelets and growth factors
(34,35) and uses discontinuous centrifugation to modulate
and control platelet recovery. According to Perez et al., the
centrifugal acceleration, time, size of the rotor, volume of
processed blood, and prevention of platelet aggregation are
the most relevant factors that must be controlled in the
centrifugation step for the preparation of PRP (27). Their
maximum platelet recovery was observed after centrifuga-
tion at 100 g for 10 minutes in 3.5 ml tubes. Therefore, we
adapted the first spin at 200 g for 15 minutes considering
that the size of the tube used by us was 10 mL. We analyzed
the volume of platelets lost in the hematic portion, and the
values were within an acceptable range according to pre-
vious studies. The very low number of platelets and white
blood cells found in the PPP after the second centrifugation
confirmed the high degree of platelet recovery of our tech-
nique. We estimated that our cost of PRP preparation in a
hospital facility is less than US$10.00 without considering the
expenses of equipment and laboratory personnel. Various
other centrifuge-based closed systems, such as PRP kits, are
available commercially with a price ranging between US
$300.00 to $1,500.00 (20). Our technique has the advantages
of a closed system but with less cost and a low risk of
contamination. 2. Dibonaventura Md, Gupta S, McDonald M, Sadosky A. Evaluating the
health and economic impact of osteoarthritis pain in the workforce: results
from the National Health and Wellness Survey. BMC Musculoskelet
Disord. 2011;12:83. https://doi.org/10.1186/1471-2474-12-83 p
g
3. Murphy NJ, Eyles JP, Hunter DJ. Hip Osteoarthritis: Etiopathogene-
sis and Implications for Management. Adv Ther. 2016;33(11):1921-46. https://doi.org/10.1007/s12325-016-0409-3 p
g
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ical Orthopaedic Literature. J Bone Joint Surg Am. 2017;99(20):1769-79. https://doi.org/10.2106/JBJS.16.01374 In the present study, we described a simple and safe
method of obtaining PRP using low-cost devices. Our results
were consistent with current standards of quality for PRP
preparation for clinical trials suggested by the American
Academy of Orthopedic Surgeons working group, who
presented the MIBO statement (3). Compared with other
currently employed techniques, our method may have signi-
ficant advantages. The proposed technique does not demand
expensive laboratory kits or a refrigerated centrifuge and has
a low risk of contamination considering the use of a closed
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15. Sánchez-González DJ, Méndez-Bolaina E, Trejo-Bahena NI. Platelet-rich
plasma peptides: key for regeneration. Int J Pept. 2012;2012:532519. https://doi.org/10.1155/2012/532519 Machado ES provided substantial contribution to the concept and design of
the study, data acquisition, analysis and interpretation, manuscript drafting,
critical revision for important intellectual content and final approval. Leite
R, Santos CC, Artuso GL provided substantial contribution to the concept
and design of the study, data acquisition, manuscript critical revision for
important intellectual content and final approval. Caldas JM provided
substantial contribution to the concept and design of the study, manuscript
critical revision for important intellectual content and final approval. Gluszczak F provided substantial contribution to data acquisition, analysis
and interpretation, manuscript critical revision for important intellectual
content and final approval. Jesus LG provided substantial contribution to
the data analysis and interpretation, manuscript drafting and final approval. Bredemeier M provided substantial contribution to the data analysis and
interpretation, manuscript drafting, critical revision for important intellec-
tual content and final approval. All of the authors take public responsibility
for appropriate portions of the content. p
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cal Orthopaedic Literature. J Bone Joint Surg Am. 2017;99(20):1769-79. https://doi.org/10.2106/JBJS.16.01374 ’ DISCUSSION Furthermore, there is evidence that a single injection in an
arthritic knee could be enough (31). In Brazil, the Federal
Medical Council currently recognizes PRP as a promising
therapy, but its use is officially permitted only in clinical
protocols that are duly evaluated and approved by the CEP/
CONEP system. The main argument is the lack of standardi-
zation of PRP preparation and lack of information regarding
the optimal dose and frequency of applications (32). There is still no consensus or scientific basis for the
concentration of platelets that is necessary to induce tissue
repair. However, there is evidence that even relatively low
platelet concentrations may be effective. Sanchez et al. found
that, compared with hyaluronic acid injection in the knee,
using the single spin technique, which produced a concen-
tration of platelets that was two-fold greater than the baseline
concentration, showed a superior effect (33). Furthermore,
most investigators suggest concentrations that are 4-5 times
greater than the baseline concentration. A study conducted by
Sugaya et al. (34) comparing PRP and bone marrow aspi-
rate concentrate (BMAC) showed a wide range of basal
platelet and growth factor concentrations between research
volunteers. In the present study, we performed PRP extraction using
four methods adapted from previously reported protocols. We obtained a low volume of platelet concentrate using
single spin protocols in accordance with previous reports. Cavallo et al. (31) compared different formulations of PRP
extraction and found a significant difference between the After reviewing the current literature and investigating
four different techniques of PRP extraction, we developed a
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Marble burying as compulsive behaviors in male and female mice
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Research paper
Acta Neurobiol Exp 2017, 77: 254–260
Marble burying as compulsive behaviors
in male and female mice
George T. Taylor1,2, Sandra Lerch1, and Sabine Chourbaji1
1
Interfaculty Biomedical Research Facility (IBF), Heidelberg Universität, Heidelberg, Germany,
2
Behavioral Neuroscience, University of Missouri, St. Louis, USA,
* Email: geot@UMSL.edu
Marble burying is considered an, albeit controversial, animal model of the compulsive like behaviors of obsessive‑compulsive
disorder (OCD). Hallmark features of OCD patients are similarities and, more prominent, differences from anxiety disorders, e.g.,
the absence of sex differences and resistance to spontaneous remission. We report an experiment on marble burying by male and
female C57/BL6/N mice. Animals were administered either the classic anxiolytic drug, diazepam, that targets the GABA receptor or
a “pure” inhibitor of the serotonin transporter, escitalopram, that has been reported to be particularly effective in OCD. A burying
paradigm that more precisely mimics the human condition was used, e.g., testing in the home environment, chronic drug exposure
and acknowledging individual differences by pre‑selecting for high marble burying. Results were that there were no sex differences
in groups treated with drugs or in control mice. Both diazepam and escitalopram decreased numbers of marbles buried compared
to vehicle‑only controls in the absence of correlated changes in anxiety. Diazepam, however, was more effective than escitalopram in
suppressing MB. The conclusion is that along with serotonin, GABA is involved in regulating compulsive behaviors. The marble burying
paradigm may prove more useful for pharmacological drugs tests of impulsivity or attention deficit because of the involvement of
serotonin and GABA in both disorders.
Key words: animal model, obsessive‑compulsive disorder, anxiety, OCD, sex differences, GABA, serotonin
© 2017 by Acta Neurobiologiae Experimentalis
INTRODUCTION
Obsessive‑compulsive disorder, (OCD) is character‑
ized by unwanted, intrusive thoughts and images (ob‑
sessions) and repetitive, ritualistic behaviors (behavior‑
al compulsions). The latter presumably serves to reduce
anxiety caused by the obsessions. Yet, OCD now is sepa‑
rated from anxiety disorders in DSM‑V, largely based on
the obsessional component (American Psychiatric Asso‑
ciation 2013).
Our research interests are in developing and assessing
reliable and valid animal models for psychiatric condi‑
tions. OCD has proven to be a particularly difficult condi‑
tion to model. The task of animal modelers is to develop
behavioral measures that isolate compulsions from anxi‑
ety measures.
Spontaneous burying of marbles in rodents has been
suggested as a compulsive‑like behavior (Broekkamp et
al. 1986, Deacon 2006, Gyertyan 1995). Marble burying
(MB), however, has been criticized on both conceptual
and empirical grounds for its ability to serve as a unique
benchmark of OCD (Albelda and Joel 2012, Wolmarans de
Received 7 June 2017, accepted 27 June 2017
7_1143 Taylor_v5.indd 254
et al. 2016). Indeed, MB has also appeared in the literature
as a measure for autism, motivation or general anxiety
disorder (GAD) (Ene et al. 2016, Jury et al. 2015, Silverman
et al. 2015). Despite the criticisms, MB continues to ap‑
pear regularly in the literature as a measure of compul‑
sion (Gawali et al. 2016, Kudryashov et al. 2016, Nichols et
al. 2016, Satta et al. 2016).
We designed an experiment with mice to assess MB
in relation to unique features in OCD patients. 1) In con‑
trast to the notably higher frequencies of most anxiety
disorders in women, incidences of OCD have no reliable
sex differences (Martin 2003). Our experiment used both
males and female mice. 2) There are clearly individu‑
al differences in compulsive behaviors among people.
Our experiment used pre‑tests to select the mice who
were most likely to bury marbles. 3) Unlike the anxiety
disorders, untreated OCD frequently fails to remit with
the passage of time (Taylor et al. 2011). Our experiment
tested the selected mice repeatedly to determine spon‑
taneous reductions as marbles became familiar. 4) The
consensus is that the neural circuits for OCD and anxiety
differ (Burguiere et al. 2015, Hoffman 2011). Neurotrans‑
mitters underlying OCD are the monoamines, mostly
Correspondence should be addressed to: George T. Taylor
Email: geot@UMSL.edu
23/10/17 21:48
Marble Burying Animal Model 255
Acta Neurobiol Exp 2017, 77: 254–260
serotonin and, likely, glutamate (Bokor and Anderson
2014, Egashira et al. 2008). GABA remains the primary
transmitter thought to underlie most anxieties. Our
study compared a classic benzodiazepine, diazepam, and
a SSRI, escitalopram, that has proven particularly effec‑
tive for OCD (Shim et al. 2011, Zohar 2008). Finally, all
animals were examined in the open field apparatus as
a general measure of anxiety.
Hypotheses for the study included no sex differences in
MB, consistency over time for individual MB habits in un‑
treated animals and greatest effectiveness of escitalopram
in reducing MB.
METHODS
Animals
A total of 35 male and 35 female C57/BL6/N mice,
40 days of age obtained from Charles River (Sulzfeld,Ger‑
many), were acclimatized for 2 weeks before pretests were
conducted. After pretesting for spontaneous MB, 42 mice
equally divided between sexes were selected as subjects
for the experiment. All mice were individually housed
in flat bottom plastic Macrolon type II cages measuring
360 cm2 (Tecniplast, Italy) under SPF conditions. Standard
lab diet (Rod16A, LASvendi, Soest) and water were avail‑
able ad libitum. The colony room lighting was a 12:12 h
reversed light/dark cycle with lights off at 9am; room
temperature (20–22 °C) and relative humidity (50%) are
controlled automatically. The Institutional Animal Care
and Use Committee and the local authorities (Regierung‑
spräsidium Karlsruhe) approved the experimental proto‑
col (permit number: G‑37/15).
Materials
All behavioral sessions were conducted during the
nocturnal light cycle and under dim illumination. The
open field apparatus (50×50×50 cm) was constructed of
black Plexiglas. Movement of the animal in the open field
was measured automatically by the Ethovision 4.0 track‑
ing system (Noldus Information Technology, Wageningen,
The Netherlands) via an overhead, infrared camera (Ike‑
gami Digital). The tracking system can record locomotor
movement in the various quadrants of the open field. The
innermost quadrant (25×25cm) was designated as the
center arena. After each test, the apparatus was cleaned
with 70% ethanol. Marbles used were multi‑colored and
approximately 16 mm diameter. The home cage of the an‑
imal was used for measurement of MB. Bedding consisted
of aspen wooden chips (ABEDD LTE‑001, Lab & Vet Service,
Vienna, Austria) that was approximately 5 cm deep. Bed‑
7_1143 Taylor_v5.indd 255
ding was changed weekly but never on the days before
a behavioral test.
Diazepam ampules were purchased (Boeringer, Mann‑
heim, Germany). Escitalopram was purchased (Sigma‑Al‑
drich Chemical Company, St. Louis, MO, USA) and solubi‑
lized in a 0.9% saline solution for injection.
Experimental Design
Following an initial test to identify the tendency of
each mouse to bury marbles, males (N=21) and females
(N=21) were selected that had buried at least 6 marbles in
the pre‑test and randomly assigned to groups. There were
3 groups of each sex (n=7 per grp) that were s.c. injected
daily for 11 days with either 0.9% saline (Fresenius Kubi,
Bad Homburg) vehicle (Veh only), 2 mg/kg bwt diazepam
(Diaz) or 2 mg/kg bwt escitalopram (Esc). These drug
dosages are in the low to mid ranges of those employed
in the rodent literature (Erfanparast and Tamaddonfard
2015, Nicolas et al. 2006, Pandey et al. 2009, Schneider and
Popik 2007).
Procedures
Pre‑selection tests of animals for the experiment
were completed over 2 days. The pre‑selection MB trial
was treated as a pre‑test, i.e., prior to drug treatments.
Using the procedure described below for MB, the 35 fe‑
males and 35 females were tested for spontaneous MB
in their home cages. The 21 mice of each sex burying
the most marbles were retained for the experiment, and
the other mice were removed to another animal hous‑
ing room. Drug administrations began at the beginning
of behavioral tests of the animals. Injections were done
1 hr before tests.
Behavioral sessions were conducted over 11 days in
the open field and in the home cages. Order of tests were
counterbalanced between and within groups. In addition
to the pretests, experimental subjects were given 2 tests
in both apparatus for a total of 4 tests separated by at least
2 days. Test 1 behaviors were conducted during the initial
4 days and Test 2 was conducted during the last 4 days of
the 11 days of testing. Animals were injected on all days,
including “off” days.
For a session in the open field, a mouse was re‑
moved from the colony room to an adjacent experi‑
mental room. The animal was placed in the center of
the open field apparatus and movement was record‑
ed over the 30 min session. Also recorded was time
spent in the center quadrant of the apparatus. The
open field is a marker of activity changes under drug
influences and time in the central area relative to the
23/10/17 21:48
256 GT. Taylor et al.
other areas adjacent to the walls serves as a measure
of anxiety (Archer et al. 1987, Benatti et al. 2014, Ene
et al. 2016).
The procedure used for MB followed the paradigm
used commonly in the literature (Deacon 2006, Gawali
et al. 2016, Witkin 2008), except that we conducted the
tests in the home cages rather than in novel cages. Log‑
ic was to mimic human OCD in which compulsive be‑
haviors occur with unsettling disturbances of a famil‑
iar environment. For a test, the home cage was moved
from the cage rack to a nearby table and the mouse
removed from its home cage to a holding cage for ap‑
proximately 1 min. During that time, 12 marbles were
distributed equally around the perimeter of the home
cage at least 2 cm from the walls. Marbles were placed
on top of the approximately 5 cm‑deep wood chip bed‑
ding of the home cage. The mouse was returned to its
home cage that was placed back into its normal place
in the cage rack.
After 30 min, the cage was again moved to the table,
and the animal placed in the holding cage while the
numbers of marbles buried were counted. Although
some marbles were buried out of sight, most often the
marbles were buried only partially. We counted the
marble buried if it was covered half or more by the
bedding.
Statistical Analyses
Assessment of behavioral differences among groups
was accomplished with 3‑way analyses of variance
Fig. 1. Numbers of marbles buried by male and female mice during
a pre‑drug test and over two trials during 11 daily administrations of either
vehicle only (Veh), escitalopram (Esc) or diazepam (Diaz). An asterisk (*)
indicates significant differences (p<0.05) of drug groups from veh controls.
The double asterisk (**) indicates Diaz groups differed significantly
(p<0.05) from the Esc groups.
7_1143 Taylor_v5.indd 256
Acta Neurobiol Exp 2017, 77: 254–260
(ANOVAs). The first 3 x 2 x 3 ANOVA on numbers of
marbles buried had main factors of Drug (diazepam, es‑
citalopram or vehicle only) x Sex with Trial (Pre‑test,
Trial 1 and Trial 2) as a repeated measure. Open field
activity used a similar 3×2×2 arrangement, except with
2 trials as repeated measure. Numbers of marbles bur‑
ied were the primary measure of compulsive behavior.
Time in the center arena of the open field served as
the measure of anxiety. Distance traveled, in cm, was
a measure of general activity. Post‑hoc Tukey‑Kram‑
er tests were used for pair‑wise comparisons of mean
group differences. The p<0.05 confidence value was
used for all analyses.
RESULTS
Numbers of marbles buried in the home cage of the
different groups of mice over the three trials (Pre‑test
and 2 trials with drug exposure) are depicted in Fig. 1.
Results of the ANOVA indicated a statistically significant
difference for the main effects for drug F(2,35)=11.45,
P<0.001, partial eta squared (η2)=0.396, and for the re‑
peated factor of trials, F(2,35)=25.41, P<0.001, η2=0.417.
The only 2‑way interaction that was statistically reli‑
able was trial x drug F(4,70)=10.59, P<0.001, η2=0.377, al‑
though trial x sex approached significance, F(2,70)=2.82,
P=0.067, η2=0.074. The 3‑way interaction failed to achieve
significance.
Posthoc group comparisons revealed statistically
significant differences (p<0.05) between and within
groups. The groups did not differ on the pre‑test data.
However, between group differences showed the mice
administered diazepam burying the fewest marbles on
Fig. 2. Distance traveled by male and female mice in the open field during
a pre‑drug test and over trials during exposure either vehicle only (Veh),
escitalopram (Esc) or diazepam (Diaz). There were no differences between
groups although the combination of female groups differed significantly
(p<0.05) the combinations of male groups.
23/10/17 21:48
Acta Neurobiol Exp 2017, 77: 254–260
Trials 1 and 2 and the control animals the most, with
the escitalopram mice differing from both groups on
both trials. Within group differences indicate that
the control animals did not change burying over the
pre‑trial and two drug trials, but the drug groups did
change over that period. Diazepam animals reduced
burying from Pre‑trial to Trial 1 but no further reduc‑
tions for Trial 2. The escitalopram group had yet a third
pattern, decreasing burying from the Pre‑trial to Trial
1 and then increasing again for Trial 2. There were no
reliable differences between male and female mice in
any of the MB comparisons.
Results for the distance traveled measure of general
locomotor activity (Fig. 2) revealed no between group
differences and only the single main factor of sex was
statistically reliable, F(1,35)=7.02, P=0.012, η2=0.167. The
females were more active than the male mice, indepen‑
dent of drug treatments. None of the interactions with
the sex factor was statistically significant.
Examination of time spent in the center arena of the
open field was conducted as a measure of anxiety. Results
are in Fig. 3. The 2×3×2 factorial analysis indicated the sex
× drug interaction was statistically reliable, F(1,35)=3.61,
P=0.037, partial eta squared (η2)=0.171. Further analyses
revealed that the females in the diazepam group spent
the most time in the center arena, and, surprisingly, fe‑
males of the escitalopram group had the least time in the
center area. All other groups were statistically similar.
The 3‑way interaction nor any of the other 2‑way inter‑
actions achieved statistical significance.
Within group results were that only the Trials main
effect was significant, F(1,35)=10.30, P=0.003. Overall, both
sexes spent more time in the center arena during their
second trial than the first trial.
Fig. 3. Time in a central arena of the open field by male and female mice
over two trials during 11 daily administrations of either vehicle only (Veh),
escitalopram (Esc) or diazepam (Diaz). An asterisk (*) indicates significant
differences (p<0.05) from the other groups.
7_1143 Taylor_v5.indd 257
Marble Burying Animal Model 257
DISCUSSION
Results of the experiment included no sex differences
in control and drug groups of mice selected for high MB.
Males and females administered only vehicle showed
consistent levels of burying behaviors while both sexes
administered diazepam and escitalopram reduced their
MB. Diazepam was more effective in eliminating the be‑
havior than escitalopram. Indeed, the influence of escit‑
alopram on burying appeared to weaken over time. The
implication is that, along with the serotonergic system,
GABA neurotransmission is critically involved in MB.
The literature places emphasis on serotonin in both
patients and animal models of compulsive behaviors.
Findings of certain SSRIs being the first line treatment
for OCD and that those same SSRIs reduce MB have re‑
inforced the serotonin hypothesis (Egashira et al. 2008).
Escitalopram is a notable example (Stein et al. 2008, Wol‑
marans de et al. 2016). However, longer durations and
higher doses of the SSRIs often are needed to treat OCD
patients compared to other psychiatric disorders (Bokor
and Anderson 2014). More telling, SSRIs fail to reduce
symptomology in 40‑60% of OCD patients (Pallanti and
Quercioli 2006), although benzodiazepines were even
less effective (Goddard et al. 2008). The clear implication
is that OCD is a complex disorder that involves multi‑
ple systems rather the current emphasis on the sero‑
tonin receptor (Egashira et al. 2008, Marazziti et al. 2010,
Takeuchi et al. 2002).
The value of MB as an animal model for OCD remains
an open question (Albelda and Joel 2012). Nonetheless,
there are empirical reasons indicating that rodents do
not bury objects simply because they are anxious. MB
has features not observed in other anxiety paradigms.
For example, burying will occur in the safety of the
home cage, in the absence of obvious fear or stressful
stimuli and burying fails to habituate over test sessions
(Chotiwat and Harris 2006, Greene‑Schloesser et al. 2011,
Thomas et al. 2009).
Our findings provide additional evidence. The most
common behaviors in OCD patients are compulsive check‑
ing, involving the performance of routines related to se‑
curity, orderliness, and accuracy but without resolution
(Taylor et al. 2011). Our findings confirm that the absence
of a reduction in compulsive burying of the control an‑
imals. Over time the control animals revealed a similar
resistance to extinction of burying despite becoming fa‑
miliar with the marbles. Finally, there was no obvious re‑
lation in our study between MB and time in the center
arena of our open field, a measure of anxiety (Benatti et
al. 2014). That measure indicated females administered
diazepam were least anxious, but escitalopram females
were the most anxious. All other group comparisons were
not significantly different. The data for general locomo‑
23/10/17 21:48
258 GT. Taylor et al.
tor activity indicated that, over all groups, females were
more active. Untreated female rodents often are found
to more active than untreated males (Blizard et al. 1975,
Palanza et al. 2001, Taylor et al. 2011).
A combination of methodological features makes our
experiment a unique contribution to this literature. An‑
imals were tested in their familiar home cages rather
than in a novel, neutral apparatus (Witkin 2008). We ac‑
knowledged the fact that there are individual differences
in compulsive behaviors by pre‑selecting mice that bur‑
ied marbles (Fineberg et al. 2015, Wirth‑Dzięciołowska et
al. 2005). Whereas we examined burying by both sexes,
almost all previous reports have used males, even when
testing the influence of ovarian steroids (Gomez et al.
2002, Umathe et al. 2009). We compared diazepam, a clas‑
sic benzodiazepine and a GABA agonist (Nicolas et al.
2006), with escitalopram, an SSRI that has been described
as a pure inhibitor of the serotonin transporter (Stahl
2013). And animals were chronically exposed to the drugs
as opposed to acute treatments in most reports in the lit‑
erature (Jimenez‑Gomez et al. 2011).
Yet, diazepam proved more effective (Joel et al. 2004)
than escitalopram in decreasing MB. The present experi‑
ment, essentially, failed to resolve MB as an animal model
capable of dissociating compulsive and anxious behaviors
(Albelda and Joel 2012).
This may not be a failing so much as empirical sup‑
port for OCD and some forms of anxiety being inseparable
(Schneier et al. 2008), despite the newest DSM moving OCD
from anxiety categories (American Psychiatric Association
2013). Notably, both disorders share neural pathology of
the cortico‑striatal‑thalamic‑cortical circuitry (Milad and
Rauch 2007, Stahl 2013). Generalized anxiety disorder and
OCD both show frontal/striatal hyperactivity. Social anxi‑
ety and OCD both show similar anterior cingulate dysfunc‑
tion (Kim and Gorman 2005).
We remain convinced the MB paradigm has import‑
ant potential as an animal model for psychiatric disor‑
ders. The puzzle is that it is not clear what is actually
being measured. Perhaps it is too narrow of a perspec‑
tive to focus on anxiety or compulsion as the only pos‑
sibilities. It is entirely possible that there are other di‑
mensions being measured, for example, impulsivity that
is neither specifically anxiety or specifically compulsive.
Indeed, it has been proposed that individual differenc‑
es in patients suggest a continuum of compulsivity to
impulsivity (Allen et al. 2003, Geller 2006). DSM‑V indi‑
cates that impulsivity may be performed in patients for
pleasure or gratification rather than relief of tension or
anxiety. MB could prove useful for innovative pharma‑
cological treatments for impulsive‑control, attention
deficit and related psychiatric disorders. These are con‑
ditions for which both serotonin and GABA, as well as
dopamine, glutamate and neurosteroids, have been im‑
7_1143 Taylor_v5.indd 258
Acta Neurobiol Exp 2017, 77: 254–260
plicated (Hoffman 2011, Perry et al. 2011, Schule et al.
2011, Yates et al. 2012). We believe a fresh look at the MB
paradigm is warranted.
CONCLUSIONS
Our results suggest the conclusion that, independent
of sex, marble burying can be suppressed with therapeutic
drugs used to treat both anxious and compulsive patients.
However, MB cannot clearly distinguish compulsions from
anxiety. MB remains an intriguing animal model partly
because burying objects appears to be an inherent trait of
some, but not all, mice. Moreover, burying has the virtues
of ease, reliability and sensitivity to drug treatments,
A broader perspective, thinking “outside the box,” may
reveal MB as useful for pharmacological drugs tests of im‑
pulsivity, attention deficit disorder or other psychiatric
disorders that have proven difficult to model in animals.
ACKNOWLEDGEMENTS
This research was supported in part by a grant to GTT
from the Alexander von Humboldt Foundation, Bonn, Ger‑
many. We thank the animal caretakers of the clinical and
experimental facility of the IBF for their support.
CONFLICT OF INTERESTS
The authors report no conflicts of interest.
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Uso y manejo tradicional de la fauna silvestre por nahuas de Santa Catarina, Tepoztlán, Morelos, México
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CALDASIA
Caldasia 45(1):36-48 | Enero-abril 2023
http://www.revistas.unal.edu.co/index.php/cal
Fundada en 1940
ISSN 0366-5232 (impreso)
ISSN 2357-3759 (en línea)
ETNOZOOLOGÍA
Uso y manejo tradicional de la fauna silvestre por nahuas de
Santa Catarina, Tepoztlán, Morelos, México
Traditional use and management of wildlife by nahuas from Santa Catarina,
Tepoztlán, Morelos, Mexico
María Inés Ayala Enríquez
José Manuel Pino Moreno
, Alejandro García Flores 1*, Erika Román Montes De Oca
, Feliciano García Lara 4
1
,
2
3
• Recibido: 13/Ene/2021
• Aceptado: 23/Mar/2022
• Publicación en línea: 09/Jun/2022
Citación: Ayala Enríquez MI, García Flores A, Román Montes de Oca E, Pino Moreno JM, García Lara F. 2023.
Uso y manejo tradicional de la fauna silvestre por nahuas de Santa Catarina, Tepoztlán, Morelos, México.
Caldasia 45(1):36–48. doi: https://doi.org/10.15446/caldasia.v45n1.92451
ABSTRACT
This research characterized the traditional knowledge on the use and management of wildlife in the
Nahuatl community of Santa Catarina, Morelos, Mexico. A qualitative methodology was used, applying
ethnozoological research techniques such as semi-structured interviews (n = 55), ethnographic observation, and guided tours with local experts. In addition, the Cultural Importance Index (IIC) was
calculated for each species used. A total of 41 species from different phyla were recorded, which are
part of the tangible and intangible cultural manifestations of the Nahuas. Eleven categories of use are
reported, of which nutritional (n = 57.5 %), forecast (n = 25 %), medicinal (n = 22.5 %) and legends (n
= 12.5 %) recorded the higher percentage of species. The wild animals with the highest IIC were the
white-tailed deer (Odocoileus virginianus; 16.8), the field rabbit (Sylvilagus cunicularius; 13.6), the
huilota (Zenaida macroura; 10.9), the rattlesnake (Crotalus culminatus; 12.8) and the winged ant
(gynes and males of Atta mexicana; 10.8). Obtaining wildlife resources is done through individual or
group gathering and hunting with firearms and traditional weapons in forest areas and agroecosystems
within their territory. Wild fauna is a renewable natural resource that has a socio-cultural importance
for the Nahua inhabitants because it is part of their subsistence strategies and cosmology: it provides
them with raw materials for material needs, but also has symbolic representations associated with animals in traditional medicine, the practice of hunting and in the narratives of oral tradition.
Keywords: traditional knowledge, worldview, Nahuatl culture, ethnozoology, subsistence strategies,
El Tepozteco National Park.
Universidad Autónoma del Estado de Morelos, Centro de Investigaciones Biológicas. Av. Universidad 1001, Col. Chamilpa, C. P. 62209.
Cuernavaca, Morelos, México, ines.ayala@uaem.mx; alejandro.garcia@uaem.mx
2
Universidad Autónoma del Estado de Morelos, Facultad de Ciencias Agropecuarias. Av. Universidad 1001, Col. Chamilpa, C. P. 62209.
Cuernavaca, Morelos, México, erika.romanm@uaem.edu.mx
3
Universidad Nacional Autónoma de México, Instituto de Biología. Cto. Zona Deportiva s/n. C. U. Coyoacán 04510, Ciudad Universitaria
jpino@ib.unam.mx
4
Universidad Autónoma del Estado de Morelos, Centro de Lengas Extranjeras. Av. Universidad 1001, Col. Chamilpa, C. P. 62209.
Cuernavaca, Morelos, México, feliciano.garcia@uaem.mx
* Autor para correspondencia.
1
Ayala Enríquez et al., 2023. Caldasia 45(1):36-48
RESUMEN
Se caracterizó el conocimiento tradicional sobre el uso y manejo de la fauna silvestre en la comunidad
Náhuatl de Santa Catarina, Morelos, México. Se utilizó una metodología cualitativa, aplicando técnicas
de investigación etnozoológicas como entrevistas semiestructuradas (n=55), observación etnográfica
y recorridos guiados con expertos locales. Además, se calculó el Índice de Importancia Cultural (IIC)
de cada especie utilizada. Se registraron 41 especies de diversos phyla, los cuales forman parte de las
manifestaciones culturales tangibles e intangibles de los nahuas. Se reportan once categorías de uso,
de las cuales la alimentaria (n=57,5 %), pronosticadora (n=25 %), medicinal (n=22,5 %) y leyendas
(n=12,5 %), registraron el mayor porcentaje de especies. Los animales silvestres con mayor IIC fueron
el venado cola blanca (Odocoileus virginianus; 16,8), el conejo de campo (Sylvilagus cunicularius;
13,6), la huilota (Zenaida macroura; 10,9), la víbora de cascabel (Crotalus culminatus; 12,8) y la “hormiga con alas” (reproductores de Atta mexicana; 10,8). La obtención de los recursos faunísticos se
realiza mediante la recolección y la cacería individual o grupal con armas de fuego y métodos tradicionales usados en áreas forestales y agroecosistemas dentro de su territorio. La fauna silvestre es un
recurso natural renovable que tiene una importancia sociocultural para los habitantes nahuas porque
forma parte de sus estrategias de subsistencia y cosmovisión, al proveerlos de materias primas para
necesidades materiales, pero también por poseer representaciones simbólicas asociadas a los animales
en la medicina tradicional, la práctica de la cacería y en narrativas de la tradición oral.
Palabras clave: conocimiento tradicional, cosmovisión, cultura Náhuatl, etnozoología, estrategia de
subsistencia, Parque Nacional El Tepozteco.
INTRODUCCIÓN
ideas y representaciones simbólicas asociadas a los animales en la tradición oral como creencias, mitos, leyen-
La relación histórica de las comunidades indígenas con
das, así como en las prácticas rituales (Osorio-López et al.
la naturaleza de acuerdo con su propia cosmovisión, les
2017). El aprovechamiento de la fauna se diversifica más
ha permitido elaborar conocimientos tradicionales sobre
allá de la alimentación, porque también se emplean pro-
el uso y manejo de los recursos naturales de su territo-
ductos animales en la medicina tradicional, como materia
rio (Herrera-Flores et al. 2019). La fauna silvestre es un
prima para la elaboración de artesanías, adornos, herra-
recurso significativo de su realidad (Argueta-Villamar
mientas, utensilios y como animales de compañía, como
2008). La forma en que cada grupo originario ha concebi-
lo evidencia la diversidad de mamíferos, aves, anfibios y
do su interacción con los animales y las categorías de uso
reptiles con categoría de uso registrados en comunidades
que le asigna varían de acuerdo con el contexto geográfi-
de México (Alonso-Castro 2014, Ávila-Nájera et al. 2018a,
co, histórico y cultural (Pérez-Gil et al. 1996). En la región
Ávila-Nájera et al. 2018b, Zarazúa-Carbajal et al. 2020).
cultural de Mesoamérica y particularmente en México,
los animales silvestres han sido un recurso importante
Los grupos humanos realizan diversas prácticas de manejo
para la subsistencia de comunidades indígenas desde la
de la fauna silvestre. Entre estas se encuentran las que tie-
época precolombina hasta la actualidad, principalmente
nen como objetivo la obtención de estos recursos, las que se
por el aporte de proteína animal como un complemento
enfocan a acciones concretas para aumentar o mantener la
de la dieta (Ramírez-Barajas y Calme 2015). En regiones
disponibilidad de los animales silvestres, y otras para fines
del trópico húmedo mexicano se ha estimado que la car-
antropogénicos adicionales (Zarazúa-Carbajal et al. 2020).
ne proveniente de la fauna silvestre puede aportar hasta el
En el contexto mesoamericano, la interacción humano-
50 % de la proteína en la dieta de pobladores originarios
fauna silvestre ha incluido una gama de prácticas de mane-
(Tejeda-Cruz et al. 2014). La fauna además es un elemento
jo como la extracción oportunista o planeada de animales
de la cosmovisión indígena mesoamericana al encontrar
mediante la caza o la recolección; la cría en cautiverio, la
37
Ayala Enríquez et al., 2023. Caldasia 45(1):36-48
domesticación e hibridación; las enfocadas al manejo del
hábitat como el cuidado de plantas hospederas y alimentarias para la fauna, o la milpa-comedero-trampa para atraer
especies de interés; hasta aquellas prácticas de manejo dirigidas hacia los usuarios para regular el acceso a este recurso
(Valadez-Azúa y Rodríguez-Galicia 2013, Santos-Fita et al.
2013, Valadez-Azúa 2016, Zarazúa-Carbajal et al. 2020).
El Náhuatl es la lengua originaria predominante en el estado de Morelos, México. Aproximadamente son 35 comunidades de este origen cultural, concentrando la mayor población en los pueblos de Hueyapan, Tetelcingo,
Cuentepec, Xoxocotla y Santa Catarina (INPI 2020). La
comunidad de Santa Catarina se localiza en el norte del
estado. Sus habitantes preservan actividades tradicionales
de aprovechamiento de los recursos naturales que forman
parte de su identidad cultural como la milpa, la recolección
de hongos y plantas silvestres, además la cacería (AyalaEnríquez et al. 2019). Sin embargo, las parcelas agrícolas
y la superficie forestal han disminuido por los cambios de
uso de suelo, el crecimiento urbano y la fragmentación del
territorio, lo que tiene impacto en la disponibilidad de sus
recursos naturales (Ayala-Enríquez et al. 2019).
En dicho contexto, entender como los grupos culturales
aprovechan sus recursos faunísticos y las formas de manejo a nivel comunitario, constituye información base para la
toma de decisiones que permita favorecer su conservación
y aprovechamiento sostenible (Puc y Retana 2012). Ante
estas premisas, el objetivo de este trabajo fue caracterizar,
por primera vez para esta comunidad, el conocimiento tradicional sobre el uso y manejo de la fauna silvestre entre
nahuas de Santa Catarina, Morelos, México.
MATERIAL Y MÉTODOS
Área y población de estudio
La comunidad Náhuatl de Santa Catarina se localiza en el
municipio de Tepoztlán, Morelos, centro de México (Fig.
1), a una altitud de 1620 m. Los antecedentes históricos de
los pueblos nahuatlacas muestran que fue un grupo cultural que se desarrolló en la Cuenca de México y valles centrales colindantes. En Morelos, los tlahuicas y xochimilcas
fueron los pueblos nahuas que se asentaron en el CentroSur y en los Altos respectivamente (Morayta 2011).
Actualmente, en Morelos el Náhuatl es la lengua indígena
predominante. La distribución actual de los pueblos na38
huas es heterogénea, ubicándose en la región de los Altos,
Centro y Sur. La comunidad de estudio se localiza dentro
de la región de los Altos en la transición del bosque templado y la selva baja caducifolia entre los 1300 y 2000 m
(Morayta 2011). Su territorio se ubica en el Parque Nacional El Tepozteco, área natural protegida que integra parte
del Corredor Biológico Chichinautzin (Fig. 1). El clima es
semicálido con lluvias en verano (Taboada et al. 2009).
En Santa Catarina se distribuyen la selva baja caducifolia,
el bosque de pino y encino, el matorral crasicaule y las
“huizacheras” que representan vegetación secundaria de
selva baja por ser terrenos agrícolas abandonados (AyalaEnríquez et al. 2019).
De acuerdo con la SEDESOL (c2015), la población es de
4521 habitantes, de los cuales 894 aún mantiene el náhuatl
o mexicano como su idioma. La población campesina de
esta comunidad basa su reproducción social en las prácticas agrícolas, pecuarias y forestales. La actividad agrícola se
establece alrededor de la milpa en la que se cultivan maíces
criollos (Zea mays L.) como las variedades amarillas, el rojo,
el pinto, el ancho, el pitillo, el picado y el azul. Además, se
cultiva calabaza dulce (Cucurbita pepo L.), frijol yepatlach
o cuaresmero (Phaseolus lunatus L.) y se recolectan plantas
arvenses. Paralelamente, algunos campesinos se han especializado en monocultivos de jitomate (Solanum lycopersicum L.) o pepino (Cucumis sativus L.) destinados para la
comercialización (Ayala-Enríquez et al. 2019). Otras estrategias de subsistencia campesina son la recolección de hongos
(localmente conocidos como hongueros), la práctica de la
cacería (conocidos como tiradores), picadores de piedra (conocidos como pedreros) y en recolección de plantas útiles,
extracción de leña y vendedores de tierra de hoja.
Recopilación de información
El trabajo de campo se llevó acabo de enero a diciembre de
2019. En su realización se consideró el Código de Ética de
la Sociedad Latinoamericana de Etnobiología, al obtener el
permiso de la autoridad local para realizar la investigación,
el consentimiento libre e informado de habitantes para su
participación en ella y respetar su anonimato bajo el principio de confidencialidad (Cano-Contreras et al. 2014). Se utilizó una metodología cualitativa que permitió obtener datos
descriptivos a partir de las propias palabras de las personas
y sus conductas observables mediante la utilización de técnicas de investigación social aplicadas en la etnozoología como
la entrevista, observación etnográfica y recorridos guiados
(Taylor y Bogdan 1987, Santos-Rodrigues 2009).
Ayala Enríquez et al., 2023. Caldasia 45(1):36-48
Figura 1. Ubicación de la comunidad de Santa Catarina, Tepoztlán, Morelos, México.
En el desarrollo del trabajo de campo se contó con el
como organización, armas, técnicas y sitios de cacería, y
acompañamiento de un habitante originario de Santa Ca-
prácticas de manejo enfocadas al hábitat o los usuarios.
tarina. Con el apoyo de este contacto en la comunidad, la
Las entrevistas fueron grabadas digitalmente, siempre
información se obtuvo mediante la identificación de un
que el informante lo permitiera y posteriormente fue-
primer grupo de personas claves con conocimientos sobre
ron transcritas. Para una interacción más cercana con la
el tema de investigación (Patton 2002). Posteriormen-
realidad y el contexto social de la población de estudio se
te la selección se realizó mediante la técnica de Bola de
realizó observación etnográfica (Taylor y Bogdan 1987), al
nieve, la cual consistió en la identificación de habitantes
estar presente en actividades de la milpa, en fiestas de la
conocedores del tema con base en la recomendación de
comunidad, la colocación de la ofrenda en el día de muer-
los entrevistados anteriores (Martín-Crespo y Salamanca-
tos, en actividades de manejo del traspatio, recolección de
Castro 2007). Otro criterio que se consideró para la se-
plantas útiles y en la preparación de alimentos.
lección fue la disponibilidad de tiempo y diálogo. Se usaron 55 entrevistas semiestructuradas a partir de un guion
Para la identificación taxonómica de las especies animales
preestablecido (Santos-Rodrigues 2009), la cual se reali-
referidas en las entrevistas, se realizaron recorridos guia-
zó en español y de forma individual en los hogares de los
dos con los informantes locales en los sistemas producti-
entrevistados. Se recabó información sobre la ocupación,
vos agrícolas y forestales. Esta actividad se realizó median-
edad, animales conocidos, formas de uso, creencias rela-
te técnicas directas e indirectas y con el apoyo de guías de
cionadas con la fauna silvestre, además de las prácticas
campo (Castro-Franco y Bustos-Zagal 2006, Aranda-Sán-
de manejo para la obtención de los recursos faunísticos,
chez 2012, Gaviño 2015). Para los insectos se utilizaron las
39
Ayala Enríquez et al., 2023. Caldasia 45(1):36-48
claves taxonómicas propuestas en Blandin (2007), Ward
(2010), DGSV (2016), Mariño-Pérez y Song (2018) y Song
et al. (2018).
El análisis de las entrevistas fue inductivo, en el cual a
partir de la revisión detallada línea por línea de los textos
y los datos se construyeron las categorías y los patrones
que describen y explican el fenómeno bajo estudio (Patton
2002). La categorización de los usos en la fauna se realizó
a partir de las descripciones de los informantes y la revisión de literatura (Pérez-Gil et al. 1996, Santos-Fita et al.
2012, Chontal-Chagala et al. 2019, Nahuat-Cervera et al.
2021). La información se consolidó en una base de datos
para realizar análisis de estadística descriptiva. A partir
del recuento de datos se obtuvo el número de informantes
por género, la distribución porcentual de las ocupaciones,
promedio de edad, la riqueza de especies reconocidas, la
riqueza de especies con categoría de uso, la frecuencia de
mención por categoría de uso y especies, la distribución
porcentual de las especies por categoría de uso y la distribución porcentual de especies con categoría de uso por
grupo taxonómico.
Se aplicó el Índice de Importancia Cultural para cuantificar la relevancia local de las especies de fauna a
partir de la ecuación propuesta por Ávila-Nájera et al.
(2018b):
IICz = ∑ (Iuz + Fmz + Vutz)
Donde:
IICz: Índice de Importancia Cultural de una especie
determinada.
Iuz: número de usos de la especie z de todos los informantes dividido entre el número total de usos de todas las
especies y de todos los informantes, multiplicado por 100.
Fmz: número de menciones de la especie z de todos los
usos y de todos los informantes dividido entre el número total de menciones de todas las especies para todos
los usos y de todos los informantes, multiplicado por
100.
Vutz: número de menciones de la especie z para un uso
de todos los informantes dividido entre el número total de
menciones de todas las especies para un uso x y de todos
los informantes, multiplicado por 100.
40
RESULTADOS Y DISCUSIÓN
Se aplicaron entrevistas a 31 hombres y 24 mujeres. La edad
promedio fue de 80 años. Las ocupaciones de los entrevistados fueron: ama de casa (44 %), campesino (25,2 %), pedrero (10,9 %), albañil (10,9 %), comerciante (7,2 %) y peón
(1,8 %). El alto porcentaje de amas de casa fue debido a su
disponibilidad de tiempo, pero también porque son quienes
llegan a preparar los alimentos con carne de animales silvestres y en algunos casos también son quien deciden que se
caza y se come, mientras que los hombres son los encargados de obtener los animales silvestres (tiradores).
Fauna silvestre y categorías de uso
Los habitantes entrevistados mencionaron 45 especies,
que taxonómicamente se clasifican en 31 familias (Anexo
1); el 84 % son nombradas en Náhuatl. De las especies reconocidas, 39 están incluidas en alguna categoría de uso,
las cuales se distribuyen en los siguientes grupos taxonómicos: mamíferos (28,8 %), aves (22,2 %), reptiles (15,5 %)
e insectos (20 %). Se registraron once categorías de uso,
siendo la alimentaria (57,5 %), pronosticador (25 %), medicinal (22,5 %) y animales con leyendas (12,5 %) las que
suman el mayor porcentaje (Fig. 2); así mismo fueron las
categorías con mayor número de menciones (Anexo 2). En
el Parque Nacional El Tepozteco se han registrado 469 especies de vertebrados de las cuales 67 son mamíferos, 301
aves y 74 reptiles (González y Contreras-MacBeath 2020),
lo que equivale al 19,4 %, 3,32 % y 9,46 % de las especies
registradas con categoría de uso respectivamente. Así mismo, el total de vertebrados numerados con uso representa
el 6,4 % de la riqueza total registrada en el área. Históricamente, los animales silvestres han sido un recurso utilizado por los pueblos nahuas para diversos fines materiales y significados simbólicos desde la época prehispánica
como lo evidencian documentos históricos como el Códice
Florentino (Sahagún 2005). Dicho aprovechamiento diversificado de la fauna es una práctica con continuidad
histórica que igualmente se registra en otras comunidades
nahuas del centro de México (Martínez 2014, GutiérrezSantillán et al. 2019).
De las categorías de uso reportadas en el presente trabajo, sobresale la alimentaria que agrupa más de la mitad
de los animales y tiene la mayor frecuencia de mención
de las especies (n=582) (Anexo 2). Dicha prevalencia de
uso de la fauna también se registra en otras comunidades
del Parque Nacional El Tepozteco y del Corredor Biológico
Ayala Enríquez et al., 2023. Caldasia 45(1):36-48
Figura 2. Número de especies por categorías de uso entre
los nahuas de Santa Catarina.
Chichinautzin, donde más del 50 % de las especies están
ubicadas en esa categoría (Monroy et al. 2011, García-Flores et al. 2014). El consumo de partes musculares o vísceras de animales silvestres con frecuencia es la principal categoría de uso en comunidades de origen étnico o mestizo
de Latinoamérica (Guerra et al. 2010, Pitriello y Stronza
2019). La ingesta de carne silvestre es un complemento de
la dieta en la población rural, lo cual no solo está relacionado con satisfacer el hambre, también con el deseo y gusto por el sabor de esta carne o porque es considerada saludable y nutritiva (Alcalá y De la Riva 2016, Zavala-Sánchez
et al. 2018, Pitriello y Stronza 2019). A pesar de que una
de las principales necesidades que se busca satisfacer con
el uso de la fauna silvestre en México es la alimentación,
los animales silvestres pueden aprovecharse integralmente para obtener productos ornamentales, amuletos, herramientas, además de tener animales de compañía (Naranjo
et al., 2010). Este aprovechamiento se repite entre pobladores nahuas del área de estudio, quienes obtienen bienes
de la fauna con fines ornamentales, enseres domésticos o
agrícolas, y abono.
Alimento
En esta categoría se registraron 23 especies distribuidas
en once mamíferos, seis aves, tres reptiles y tres insectos,
que forman parte de la cultura alimentaria al prepararse
en diferentes platillos de la cocina tradicional como salsas,
mixiotes, barbacoa, carne frita o asada. Las especies animales con mayor frecuencia de mención en esta categoría
fueron Sylvilagus cunicularius (n=54), Zenaida macroura (n=54), Odocoileus virginianus (n=51), Dasypus novemcinctus (n=34), Sylvilagus floridanus (n=32), Sphenarium purpurascens (n=33) y Columbina inca (n=31). La
fauna silvestre sigue siendo parte del menú en la cultura
alimentaria de los habitantes de comunidades rurales en
regiones tropicales como la de Santa Catarina, a pesar de
entornos cada vez más cambiantes por la globalización,
el mayor acceso a alimentos industrializados, la tercerización productiva, la degradación ambiental y el cambio
cultural (Alves y van Vliet 2018). Las especies de vertebrados con mayor número de menciones como los conejos, el
venado, el armadillo y las palomas silvestres son de amplia distribución geográfica, por lo que forman parte de la
cultura alimentaria de diversas comunidades originarias
y campesinas de México (Valdez y Ortega 2014, Ávila-Nájera et al. 2018b). De los grupos taxonómicos registrados,
los mamíferos aportan la mayor riqueza de especies con
fines comestibles y también son el grupo con mayor frecuencia de mención en esta categoría (n=287) (Anexo 2),
similar a lo que se registra en otras regiones de México
(Ávila-Nájera et al. 2018b). En el caso de los insectos, aunque el número de especies fue menor al registrar solo el
consumo de chapulines del género Sphenarium y hormigas del género Atta, muestra la vigencia de la entomofagia
en la comunidad, una práctica con tradición prehispánica (Sahagún 2005). Por otra parte, es necesario estimar
aspectos como la extracción de fauna y carne consumida,
variables que permitirán contextualizar con mayor precisión el aporte alimentario de los animales silvestres en la
dieta de los habitantes locales. La evaluación cuantitativa
del aprovechamiento de la fauna y su aporte a la alimentación es escasa en grupos originarios del centro de país
en comparación con el sureste mexicano, donde se ha evidenciado que a pesar de que existe una amplia diversidad
de animales comestibles registrada por medio de técnicas
de investigación cualitativa como las entrevistas, la obten-
41
Ayala Enríquez et al., 2023. Caldasia 45(1):36-48
ción de carne silvestre habitualmente se centra en ciertas
especies de talla mediana y grande (León y Montiel 2008,
Naranjo et al. 2010, Santos-Fita et al. 2012, Tejeda-Cruz et
al. 2014, Ramírez-Barajas y Calme 2015).
Pronosticador
Se identificaron diez animales clasificados como pronosticadores de enfermedad, muerte, de mal agüero e indicadores de fenómenos meteorológicos y estado del tiempo.
Por ejemplo, es frecuente que los campesinos encuentren a
ehecatotolin (Geococcyx velox) en su recorrido a la milpa,
pero no se arriesgan a pasar junto a ellos porque si llega a
atravesarse en su camino les indica que alguien del pueblo
o un familiar va a morir. Lo mismo sucede con el tecolotl
(Glaucidium brasilianum) y la lechuza (Tyto alba), cuyo
ulular se relaciona con presagios de muerte, por lo cual
los ahuyentan de las viviendas. Entre los nahuas de Santa
Catarina se registran insectos indicadores de lluvia como
las chicharras (Cicada orni), especie que estridula en las
mañanas del mes de mayo hasta que empiezan las primeras lluvias. Los moyotes (Cotinis mutabilis) hacen vuelos
nocturnos entre mayo y junio anunciando el inicio de las
lluvias. Mientras las hormigas con alas (reproductores de
A. mexicana) hacen su arribo en las primeras lluvias del
temporal. La mariposa atolera (Morpho polyphemus) aparece por las viviendas en mayo-junio y al final de los temporales, entre octubre-noviembre, por lo que los nahuas la
consideran un animal indicador de inicio y término de las
lluvias. En las aves, las golondrinas (Hirundo rustica) con
su vuelo pronostican la llegada de las lluvias. Las tortolitas
(C. inca y C. passerina) también son reconocidas como indicadoras del estado del tiempo, cuando la temperatura del
ambiente aumenta las aves bajan al suelo en busca de humedad. En el contexto cultural de los pueblos con tradición
mesoamericana como los nahuas de Santa Catarina, es frecuente la identificación de especies animales asociadas con
el presagio de diferentes sucesos que influyen en la vida de
las personas, como de forma similar se documenta en comunidades tzotziles, tojolabales o mayas de la península de
Yucatán en México, donde invertebrados y vertebrados silvestres anuncian cambios en el clima y sucesos que pueden
ser perjudiciales o benéficos (Serrano-Gonzáles et al. 2011,
Nahuat-Cervera et al. 2021). En el caso de la cosmovisión
prehispánica náhuatl, la palabra tetzáhuitl se relacionaba
a una “cosa escandalosa, espantosa o cosa de agüero” traducido al español como augurio o presagio, un fenómeno
considerado una señal que anuncia un hecho futuro, que
no necesariamente es un acontecimiento negativo, también
42
de buena fortuna y no significaban hechos definitivos. Estos presagios se pueden manifestar por medio de objetos,
fenómenos, comportamientos o también por la presencia
de animales como se documenta en el presente trabajo
(Flores-Rodríguez 2021, Pastrana-Flores 2021). Con relación al conocimiento tradicional sobre los fenómenos meteorológicos y cambio en el estado del tiempo, este se encuentra relacionado con características reproductivas y de
comportamiento en insectos y aves. De acuerdo con Alves y
Barboza (2017), la predicción de eventos meteorológicos a
través de los animales ha persistido en numerosas culturas
humanas a lo largo de generaciones. Las personas observan aspectos de comportamiento, fisiológicos y reproductivos de la fauna para las predicciones climáticas, siendo las
aves, insectos y mamíferos los grupos más utilizados (Alves
y Barboza 2017).
Medicina
Esta categoría incluye nueve especies: tres mamíferos, tres
reptiles, dos aves y un insecto, para tratar padecimientos o
enfermedades de origen fisiológico y de filiación cultural.
Entre las partes utilizadas de los animales se encuentran
la carne, sangre, colmillos, piel o los animales completos.
Por ejemplo, se consume la carne guisada del yepatl (Conepatus leuconotus) para quitar los granos y sarpullido.
La ingesta de la sangre fresca del mazatl (O. virginianus),
ayuda a fortalecer y aumentar la sangre. Los colmillos de
tectli (Crotalus culminatus) se remojan en alcohol por un
año, posteriormente son utilizados para el dolor de cabeza y reumas; mientras su piel se utiliza en forma de cataplasma para tratar la picadura de alacrán. La sangre de
la akuekuespalin (Ctenosaura pectinata) es recomendada
para la debilidad, ceguera, y aumentar las plaquetas, para
lo cual se mezcla con refresco de cola y se bebe. En el caso
de la ayotl (Kinosternon integrum) se utiliza para el tratamiento de la enfermedad cultural conocida con el nombre
tortuga, la cual se caracteriza por un incremento en la temperatura y porque el cuello no tiene fuerza para detener la
cabeza del niño. Para el tratamiento la sangre del cuello de
la tortuga se coloca en las articulaciones y la espalda del
enfermo, después preparan un caldo con la carne y se le
da de comer. La carne guisada del ratoncito de tierra tlalquiquimichi (Peromyscus melanophrys) se emplea para
la enfermedad de infantes conocida como chachahualistli.
Esta se caracteriza por falta de apetito, mejillas inflamadas
y los niños almacenan su comida en la boca sin ingerirla o
solo juegan con ella. Mientras a los niños que ya están en
edad de hablar y no pueden, los alimentan con las ciruelas
Ayala Enríquez et al., 2023. Caldasia 45(1):36-48
picadas por las aves, principalmente de las tórtolas C. inca
y C. passerina para su tratamiento. Otro remedio para la
falta de habla consiste en poner una chikilishtli (Cicada
orni) dentro de la boca para que cante y le otorgue el habla
al niño. La riqueza de especies medicinales reportada entre los nahuas representa el 1,54 % de la fauna medicinal
registrada en Latinoamérica (n = 584) (Alves y Alves 2011)
y el 5,52 % de la registrada en la medicina tradicional
mexicana (n = 163) (Alonso-Castro 2014). El zorrillo, la
víbora de cascabel, el venado cola blanca y la iguana representan especies con una amplia tradición de uso desde la
época prehispánica y que se mantiene en la medicina tradicional mexicana contemporánea (Alonso-Castro 2014).
Los animales no solo son utilizados para el tratamiento de
enfermedades de origen fisiológico, también de aquellas
que son propias de un contexto cultural como el padecimiento de “tortuga” y chachahualistli, este último padecimiento también se registra en otros grupos nahuas del
país de acuerdo con fuentes etnohistóricas y etnográficas
(Acosta 2013, Good 2013, Romero 2020).
Leyenda
Los nahuas de Santa Catarina conservan en su tradición
oral leyendas que se asocian con cinco especies animales.
Los campesinos tienen respeto a las hormigas tzicame
(Atta spp.), porque simbólicamente son relacionadas con
las víboras, con el viento, el Tepozteco y la lluvia. En el
caso de la víbora tzikacoatl (Micrurus laticollaris Peters,
1870) se menciona que es un animal venenoso que habita en los hormigueros y es la mamá de las hormigas, las
protege y éstas le consiguen alimento. En el caso de la víbora tlilcoatl, (Drymarchon melanurus Duméril, Bibron
& Duméril, 1854), la tradición menciona que hipnotiza a
las mujeres que están amamantando para tomarse la leche y para que los niños no lloren les coloca su cola como
chupón. Mientras que los murciélagos son asociados con
vampiros que se alimentan con la sangre de las personas y
la oscuridad. Las hormigas del género Atta son uno de los
elementos clave en el sistema simbólico de los pueblos mesoamericanos porque aparecen en narrativas relacionadas
con el viento y la lluvia, fenómenos atmosféricos esenciales en el ciclo agrícola para el crecimiento del maíz, alimento básico en la subsistencia en Mesoamérica, o incluso
representan el papel de héroe civilizador al dar este grano
al hombre (Katz 2005). En el área de estudio, el significado de estas hormigas en la cosmovisión de los campesinos evita que se apliquen insecticidas en los hormigueros
de las parcelas a pesar del daño que pueden ocasionar al
maíz, utilizando para su control diferentes plantas distractoras de las que se alimentan (Ayala-Enríquez et al. 2018).
Las serpientes probablemente representan uno de los grupos de reptiles que tienen mayor presencia en el imaginario colectivo debido a que son relacionadas con diferentes
narrativas como mitos, leyendas y creencias (Casas 2000).
La narración sobre una serpiente reconocida como “madre de las hormigas” y que vive en los hormigueros ya se
reporta por Sahagún y Hernández en el siglo XVI, quienes
probablemente describan un coralillo del género Micrurus, que se alimentan de otros ofidios que consumen termitas y hormigas (Casas 2004, Katz 2005). Mientras que
las serpientes que maman los pechos de las madres es una
narrativa común en diferentes regiones de la República
Mexicana, donde además del tilcuate (Drymarchon corais
Holbrook, 1842), también se registra a Pituophis deppei
Duméril, 1853 y Spilotes pullatus Linnaeus, 1758 (Casas
2000). En la cosmovisión mesoamericana los murciélagos
han sido asociados con la oscuridad, el inframundo y la
muerte, pero no en el contexto negativo (Flores-Monter et
al. 2017).
Control biológico
Los zorrillos (C. leuconotus) se alimentan de nextikuilli
(Phyllophaga obsoleta Blanchard, 1851) por lo que se tolera su presencia en los patios de las casas y la milpa, así
como la nexhua (Coluber mentovarius Duméril, Bibron &
Duméril, 1854) porque controlan la población de chachahua (ratoncitos de tierra) que ocasionan daños al maíz.
Otra especie es la víbora de cascabel cuya dieta está constituida por roedores que pueden ser perjudiciales para la
actividad agrícola. El reconocimiento de los beneficios de
vertebrados silvestres en los agroecosistemas es de interés para llevar a cabo acciones conservacionistas, especialmente de aquellas especies como las serpientes cuyas
percepciones negativas terminan con su eliminación (Gatica-Colima y Jiménez-Castro 2009, Leyte-Manrique et al.
2016, García-López et al. 2017).
Amuleto
Los testículos de los conejos (S. cunicularius y S. floridanus) son de buena suerte en la práctica de la cacería.
Para esto se colocan en algodón dentro de un frasco con
alcohol. Del venado, los tiradores utilizan su pata o cola
como amuleto para la fortuna en la cacería. En estudios
sobre la cacería en pueblos de origen mesoamericano, se
ha documentado que dicha actividad puede estar enmarcada en un contexto simbólico al registrar elementos como
43
Ayala Enríquez et al., 2023. Caldasia 45(1):36-48
prácticas rituales, creencias, tabúes y el uso de amuletos
que otorgan fortuna o establece el número de presas permitidas para cazar (Olivier 2015, Osorio-López et al. 2017,
Herrera-Flores et al. 2018).
Enseres de trabajo
Las patas de conejo y venado se incrustan en la pared de
las casas para utilizarlas como percheros. Además, las
puntas de las astas del venado se utilizan como agujas para
coser los costales en donde se transporta la mazorca del
maíz (Z. mays).
Abono
El guano del murciélago (Artibeus lituratus) se utiliza
para abonar la milpa, el cual se extrae de cuevas ubicadas en el Parque Estatal El Texcal. El aprovechamiento del
guano de murciélago para la actividad agrícola también
se registra en otras comunidades del Parque Nacional del
Tepozteco (García-Flores et al. 2014). Sin embargo, en la
comunidad de Santa Catarina probablemente se trate de
una categoría de uso ya no vigente, pero si en la memoria
de las personas. Esto porque en un estudio reciente sobre
la caracterización de la milpa en Santa Catarina (AyalaEnríquez et al. 2019) se describe que en las actividades del
ciclo agrícola se utiliza abono químico y que la extracción
de guano para la fertilización de parcelas se realizaba hace
30 años, de acuerdo con campesinos de mayor edad.
Uso lúdico y ornamental
El uso lúdico se refiere a los animales que utilizan los niños
para jugar. El moyotl (Cotinis mutabilis), es recolectado
por los niños al inicio del verano (junio-julio), ellos amarran un hilo delgado en su cabeza y lo hacen volar. La piel
de mazacoatl (Boa constrictor) y de mazatl se usa para
adornar las casas de los tiradores y el caparazón del ayotochtli (Dasypus novemcinctus) es utilizado como instrumento musical.
Índice de Importancia Cultural
El venado cola blanca O. virginianus presentó el IIC más
alto (16,8) después de S. cunicularius (13,6), C. culminatus
(12,8), Z. macroura (10,9) y A. mexicana (10,8) (Anexo 1).
El venado cola blanca registró el mayor número de categorías de uso, cuatro, con tres destacadas como la alimentación, medicinal o materia prima para enseres de trabajo;
pero también el mayor número de menciones (n = 129),
obteniendo la mayor frecuencia por su aporte de carne (n
= 51). El conejo de campo y la víbora de cascabel registran
tres categorías de uso, siendo las de mayor frecuencia la
44
alimentaria (n = 54) y la medicinal (n = 44) respectivamente. La huilota solo se registra en la categoría alimentaria, sin embargo, fue la especie con mayor frecuencia de
mención en esta categoría (n = 54). La hormiga con alas es
mencionada por ser un insecto parte de la cultura alimentaria local, pero de acuerdo con la frecuencia de mención
es mayormente relacionada con un significado simbólico
al ser pronosticadora de lluvias (n = 44). El venado cola
blanca es uno de los vertebrados silvestres con mayor relevancia sociocultural en comunidades campesinas e indígenas de México (Ávila-Nájera et al. 2018b), como se
reporta en esta investigación. Dicha relevancia podría
estar en relación a que es una de las presas predilectas y
apreciadas en la cacería de subsistencia (Ávila-Nájera et al.
2018b), pero también porque se aprovecha integralmente
al proveer otros productos (Retana-Guiascón y LorenzoMonterrubio 2016, Ávila-Nájera et al. 2018b).
Manejo de la fauna
Organización, armas, técnicas y sitios de cacería
Los recursos faunísticos son conseguidos mediante la extracción al practicar la cacería y en el caso de los insectos
mediante la recolección. Las armas utilizadas en la práctica de la cacería fueron: 1) onda, este instrumento está
hecho a base del ixtle (Agave angustifolia Haw). 2) Varas,
consiste en una rama de árbol o arbusto de Dodonea viscosa (L.) Jacq), Tecoma stans (L.) Juss. ex. Kunth) o Bursera fagaroides (Kunth) Engl). 3) Resortera para cazar aves,
ésta se fabrica con un hule, fragmento de cuero y una base
en forma de horqueta, esta se obtiene de una madera dura
de Psidium guajava L. o de Vitex molli Kunth. 4) Machete,
es adquirido en el mercado. 5) Escopeta calibre 16 con postas, se emplea para cazar venados y munición para el tochtli, huilotl y el tlacuatzin. 6) Rifle de diábolos, para cazar
a la cuapioton (Ortalis poliocephala). Las técnicas de cacería registradas fueron: la arreada, consiste en perseguir
a la presa hasta acorralarla, se recurre a ella cuando van
más de cinco tiradores e incluso emplean perros. Cuando
deciden ir en busca de un venado se organizan por familia
o amigos, dicen “vamos a la arreada”, juntan 24 personas,
entre ellos doce arreadores con perros. Los tiradores entrenan a los chichime (Canis lupus familiaris) para ayudar
a cazar conejos, armadillos, ardillas y venados. La espiada
consiste en observar a animales en los caminos, así como
huellas, comederos y abrevaderos. Los adultos la utilizan
para cazar tectli y cuando observan o escuchan sonidos de
animales mayores con interés como el mazatl. En la imitación, los adultos y niños aprenden a remedar los sonidos,
Ayala Enríquez et al., 2023. Caldasia 45(1):36-48
principalmente de las aves para que se acerquen a ellos y
porque les gusta el canto, otros imitan las peleas del venado con ayuda de cuernos. La técnica de la carnada consiste
en colocar en las cuevas frutas o flores que saben le gusta
al animal, para acorralarlo cuando se acerque. Los tiradores ubican áreas donde han visto que llega la fauna, como
abrevaderos, madrigueras, cuevas, cañadas y los árboles
predilectos de los animales. Por ejemplo, el mazatl se alimenta del cazahuatl (Ipomoea spp.), pochotl (Ceiba aesculifolia (Kunth) Britt & Baker f.) y xiloxochitl (Pseudobombax ellipticum (Kunth) Dugand). Sus astas las afilan
en árboles de encino (Quercus spp.), tepehuaxi (Lysiloma
acapulcense (Kunth) Benth) y palo dulce (Eysenhardtia
polystachya (Ortega) Sarg).
Persiste el uso de armas tradicionales como la onda o la
resortera, en un contexto latinoamericano donde los cazadores nahuas poseen sobre su territorio y las especies tales
como hábitos alimentarios, distribución, rastros, cantos o
sitios de refugio, los cuales son básicos para elegir donde
cazar. Las prácticas de manejo registradas se enfocan en
la obtención del recurso faunístico mediante la extracción
por cacería y recolección en ambientes naturales y antropizados, no se registra ninguna enfocada al manejo de los
usuarios, del hábitat o de las especies animales con la finalidad de aumentar o mantener el número de individuos.
En este contexto, es pertinente evaluar integralmente el
uso de la fauna silvestre, que además de considerar aspectos socioculturales también integre ecológicos como tasas
de captura, biomasa extraída y estado de las poblaciones
animales. Aunque la cacería de subsistencia puede representar una menor presión para las poblaciones animales
en comparación con la comercial, la compleja interacción
de factores como la pérdida y fragmentación del hábitat,
una de las principales problemáticas en la parte baja del
Parque Nacional El Tepozteco (González y ContrerasMacBeath 2020), así como la sobreexplotación ocasionada
por la extracción excesiva, pueden impactar la fauna, lo
que pone en peligro la conservación de la diversidad faunística, sus funciones ecológicas y los bienes que aportan
a las poblaciones humanas (Naranjo et al. 2010, Ávila-Nájera et al. 2018b).
tegias de subsistencia y representaciones simbólicas. De
acuerdo a su conocimiento tradicional reconocen 45 especies, de las cuales el 84 % son nombradas en Náhuatl. Se
registraron 41 especies entre vertebrados e invertebrados
que forman parte de manifestaciones culturales tangibles
e intangibles. Las principales categorías de uso fueron
la alimentaria (57,5 %), pronosticador (25 %), medicinal
(22,5 %) y animales con leyendas (12,5 %). El venado cola
blanca obtuvo el mayor Índice de Importancia Cultural
al registrar el mayor número de categorías de uso y mayor frecuencia de mención, sobresaliendo en su aporte de
carne para la alimentación. La obtención de los recursos
faunísticos se realiza mediante la recolección y la cacería
individual o grupal en ambientes naturales o antropizados, mediante armas de fuego y tradicionales. Es necesario realizar estudios integrales que además de considerar
aspectos socioculturales, también incluyan aspectos ecológicos para obtener una mayor profundidad en el análisis
de la relación humano-fauna entre los habitantes nahuas
de Santa Catarina, Morelos, México.
PARTICIPACIÓN DE LOS AUTORES
MIAE: Concepción teórica, diseño de la investigación,
recolección de datos en campo e identificación de material botánico. AGF: Diseño de la investigación, análisis de
datos y escritura del artículo. ERM: Toma y análisis de
datos en campo. JMPM: Identificación de insectos. FGL:
Toma y análisis de datos en campo e identificación de
material botánico.
AGRADECIMIENTOS
A los habitantes de Santa Catarina por su participación y
apoyo para la realización de la presente investigación.
CONFLICTO DE INTERESES
Los autores declaran no tener conflicto de interés.
LITERATURA CITADA
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Learning the value of information and reward over time when solving exploration-exploitation problems
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Scientific reports
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Learning the value of information
and reward over time when solving
exploration-exploitation problems Received: 7 August 2017
Accepted: 22 November 2017
Published: xx xx xxxx Irene Cogliati Dezza1, Angela J. Yu3, Axel Cleeremans1 & William Alexander2 To flexibly adapt to the demands of their environment, animals are constantly exposed to the conflict
resulting from having to choose between predictably rewarding familiar options (exploitation) and risky
novel options, the value of which essentially consists of obtaining new information about the space of
possible rewards (exploration). Despite extensive research, the mechanisms that subtend the manner
in which animals solve this exploitation-exploration dilemma are still poorly understood. Here, we
investigate human decision-making in a gambling task in which the informational value of each trial
and the reward potential were separately manipulated. To better characterize the mechanisms that
underlined the observed behavioural choices, we introduce a computational model that augments
the standard reward-based reinforcement learning formulation by associating a value to information. We find that both reward and information gained during learning influence the balance between
exploitation and exploration, and that this influence was dependent on the reward context. Our results
shed light on the mechanisms that underpin decision-making under uncertainty, and suggest new
approaches for investigating the exploration-exploitation dilemma throughout the animal kingdom. Imagine a nice summer day in Rome. You stop by a gelateria to buy a refreshing ice cream. After entering the
shop, you are confronted with dozens of different ice-cream flavours. A good strategy would be to choose your
favourite flavour (i.e., vanilla), because the likelihood that you will find it satisfying is very high. However, the
shop also sells flavours that seem appealing but that you have never tasted (e.g., ginger and cinnamon). Do you
select the flavour that you know you will enjoy, or do you select a flavour you have never tried before, potentially
finding either a new favourite, or profound disappointment? The decision problem you are faced with is an exam-
ple of the exploration-exploitation dilemma. It reflects a conflict between exploiting a known source of reward
(i.e., vanilla) and exploring other less well-known sources (i.e., ginger and cinnamon) that may turn out to be
either a more rewarding outcome, or a wasted opportunity.f Humans can resolve the exploration-exploitation dilemma through adopting different exploratory strate-
gies, and different theoretical frameworks have offered different accounts of the factors that drive exploration. www.nature.com/scientificreports www.nature.com/scientificreports www.nature.com/scientificreports Received: 7 August 2017
Accepted: 22 November 2017
Published: xx xx xxxx Learning the value of information
and reward over time when solving
exploration-exploitation problems The process is iterated for the length of free-choice task and at the
beginning of each game expected reward values are initialized to Q0 and information to zero. Figure 1. Comparison between sRL and kRL. Both models learn reward values Qt+1,j(c) during the forced-choice
task using a δ learning rule, but only kRL learns also information I
c( )
t j
,
- as function of the number of previous
observations. At the end of the forced-choice task, kRL integrates information and reward in a same choice value
Vt,j(c) where the expected reward value Qt+1,j(c) is reduce by the amount of information gained during previous
trials and its weighted parameter ω. In order to generate choice probabilities based on choice values, both models
use a softmax choice function. However, sRL enters only expected reward values Qt+1,j(c), whereas kRL enters the
combined information-reward value Vt,j(c). The process is iterated for the length of free-choice task and at the
beginning of each game expected reward values are initialized to Q0 and information to zero. recently developed a new version of the bandit task in which the information participants had about the payoffs
of each slot machine was controlled, thereby eliminating the reward and information confound (i.e. information
and reward were ‘decorrelated’). Based on this paradigm, Wilson et al. showed that participants indeed adopted
both random and directed exploratory strategies: when participants were given unequal amounts of information
regarding two options, they more frequently chose the option about which they had less information, even when
that option was associated with lower gains.h p
g
Thus, withholding information about choice reward appears to promote directed exploration and to mod-
ulate the manner in which humans resolve the exploration-exploitation dilemma. However, in Wilson et al.’s
task, payoffs concerning previous decision outcomes were displayed to participants at the time of the decision. In daily life, however, outcomes concerning previous choices are not always perfectly available; instead, it is their
learned values that play the central role during the decision process. Moreover, previously learned outcomes
influence future decisions in a way that depends on the type of learning involved9, on the context in which deci-
sions are made10 and on the weight that each individual gives to decision outcomes11. Nonetheless, the number of
times an outcome is experienced during learning might eventually influence the decision process. Learning the value of information
and reward over time when solving
exploration-exploitation problems In reinforcement learning (RL) theory, exploration may be random: a decision-maker who learns to maximize a
numerical reward signal1 may nevertheless make choices associated with lower reward value (exploration) due to
a noisy response-generation process2. Alternatively, in optimal decision-making theories3, exploration is viewed
as a directed or intentional process (i.e. directed or uncertainty-driven exploration). Here, the decision-maker
is also trying to maximize reward, but he takes a longer view and is willing to sacrifice short-term high-reward
choices so as to gain information about more uncertain novel options, ultimately hoping to achieve an overall
higher level of reward4. In directed exploration, the absence of information related to the estimation of the reward
value of an option constitutes a key factor for exploration: all else being equal (e.g., estimated reward value and
reward variance of options), directed exploration minimizes the difference in information amongst options. On
the contrary, random exploration is merely the result of a noisy process. y
p
y
y p
In previous research, evidence concerning the extent to which human decision-makers engage in directed
exploration has been inconsistent. Some studies failed to observe directed exploration in humans5–7, possibly
because of using tasks (i.e., “bandit tasks”) that make it difficult to separately identify directed and random
exploratory strategies8 due to rise in information/reward confound2. To overcome this limitation, Wilson et al.2 1Centre for Research in Cognition & Neurosciences (CRCN), Université Libre de Bruxelles, Brussels, Belgium. 2Department of Experimental Psychology, Ghent University, Gent, Belgium. 3Department of Cognitive Science,
University of California San Diego, La Jolla, CA, United States. Correspondence and requests for materials should be
addressed to I.C.D. (email: icogliat@ulb.ac.be) SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 1 www.nature.com/scientificreports/ Figure 1. Comparison between sRL and kRL. Both models learn reward values Qt+1,j(c) during the forced-choice
task using a δ learning rule, but only kRL learns also information I
c( )
t j
,
- as function of the number of previous
observations. At the end of the forced-choice task, kRL integrates information and reward in a same choice value
Vt,j(c) where the expected reward value Qt+1,j(c) is reduce by the amount of information gained during previous
trials and its weighted parameter ω. In order to generate choice probabilities based on choice values, both models
use a softmax choice function. However, sRL enters only expected reward values Qt+1,j(c), whereas kRL enters the
combined information-reward value Vt,j(c). SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w Learning the value of information
and reward over time when solving
exploration-exploitation problems (a) In the unequal information condition (when information concerning the 3
decks was not always available), sRL (right frames) predicts a higher probability of choosing highly rewarded
option (i.e., exploitation), whereas kRL (left frames) predicts a higher probability of choosing the most
informative/never experienced option (i.e., 0seen). (b) Both models predict a decrement in directed exploration
in high reward contexts (when the generative mean was set to 50 points) compared to low reward contexts
(when the generative mean was set to 30 points). However, in the high reward context, kRL still chooses more
often 0seen options compared to exploitation (left frames), whereas sRL chooses more often exploitative options
(right). (c) In the equal information condition (Baseline + Reward) under different reward contexts, both
models predict increased random exploration in the high reward context compared to the low reward context. Figure 2. Model predictions. (a) In the unequal information condition (when information concerning the 3 Figure 2. Model predictions. (a) In the unequal information condition (when information concerning the 3
decks was not always available), sRL (right frames) predicts a higher probability of choosing highly rewarded
option (i.e., exploitation), whereas kRL (left frames) predicts a higher probability of choosing the most
informative/never experienced option (i.e., 0seen). (b) Both models predict a decrement in directed exploration
in high reward contexts (when the generative mean was set to 50 points) compared to low reward contexts
(when the generative mean was set to 30 points). However, in the high reward context, kRL still chooses more
often 0seen options compared to exploitation (left frames), whereas sRL chooses more often exploitative options
(right). (c) In the equal information condition (Baseline + Reward) under different reward contexts, both
models predict increased random exploration in the high reward context compared to the low reward context. information2 to a dynamic and trial-dependent computation adaptable to more complex scenarios. Specifically,
we computed information as discrete quantities, which accumulate over time as the number of observations of an
option increases. Both learning models make different predictions regarding how humans solve the exploration
and exploitation dilemma when information concerning competing options is not always available (e.g., not inte-
grating information tends to facilitate exploitative strategies), and when it is presented under different learning
contexts (e.g., higher reward context reduces exploration of most informative options in a way that differs when
the algorithm integrates or not integrates information) (Fig. 2). Learning the value of information
and reward over time when solving
exploration-exploitation problems For example,
increasing the number of times an option is observed decreases its uncertainty3, and the value of an option also
depends on the level of uncertainty12. Accordingly, information might accumulate during learning, affecting the
decision process itself. Consequently, learning information and reward over time might influence the resolution
of the exploration-exploitation dilemma. Following this hypothesis, standard RL theories need to be augmented
with optimal decision-making approaches specifying how reward and information interact to influence choices. Moreover, the context in which learning is achieved might influence this reward/information integration. Indeed,
a vast literature has highlighted the crucial role of context in influencing decision strategies10,13,14. Experiencing
richer contexts, for example, might speed up exploratory process as predicted by optimal foraging theory15. p
g
p
p
p
y p
p
y p
g
g
y
In this study, we compare two possible computational solutions to the learning problem faced by humans
during the exploration-exploitation dilemma: (1) a standard Reinforcement Learning (sRL) model where only
rewards are considered during the learning and decision process; (2) and a novel reinforcement learning model
in which quantities related both to reward and information are learned over time and combine to derive choice
values (knowledge Reinforcement Learning- kRL; Fig. 1). Previous models2 have suggested how information and
reward might be integrated in driving choice behaviour, but have not included trial-by-trial learning dynam-
ics, thus potentially limiting the scope of their predictive power. Moreover, we extended previous measures of SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 2 www.nature.com/scientificreports/ Figure 2. Model predictions. (a) In the unequal information condition (when information concerning the 3
decks was not always available), sRL (right frames) predicts a higher probability of choosing highly rewarded
option (i.e., exploitation), whereas kRL (left frames) predicts a higher probability of choosing the most
informative/never experienced option (i.e., 0seen). (b) Both models predict a decrement in directed exploration
in high reward contexts (when the generative mean was set to 50 points) compared to low reward contexts
(when the generative mean was set to 30 points). However, in the high reward context, kRL still chooses more
often 0seen options compared to exploitation (left frames), whereas sRL chooses more often exploitative options
(right). (c) In the equal information condition (Baseline + Reward) under different reward contexts, both
models predict increased random exploration in the high reward context compared to the low reward context. Figure 2. Model predictions. Learning the value of information
and reward over time when solving
exploration-exploitation problems To assess the models’ predictions, we developed
a novel version of the Wilson et al. paradigm in which participants make repeated choices about three decks of
cards in such a way that previous deck-selection influences choices through learning (i.e., outcomes disappeared
from the screen after 300 ms of deck selection - Fig. 3). The use of three options allows us to investigate partici-
pants’ behaviour in a more complex and realistic scenario. By comparing the fits of the two models to trial-by-trial
participant responses, our aim was to establish which model better describes participants’ behaviour while per-
forming our task. In the following sections, we present the main results whereas the mathematical description
of the two models and their predictions, derived from model simulations, can be found in the last section of this
manuscript. information2 to a dynamic and trial-dependent computation adaptable to more complex scenarios. Specifically,
we computed information as discrete quantities, which accumulate over time as the number of observations of an
option increases. Both learning models make different predictions regarding how humans solve the exploration
and exploitation dilemma when information concerning competing options is not always available (e.g., not inte-
grating information tends to facilitate exploitative strategies), and when it is presented under different learning
contexts (e.g., higher reward context reduces exploration of most informative options in a way that differs when
the algorithm integrates or not integrates information) (Fig. 2). To assess the models’ predictions, we developed
a novel version of the Wilson et al. paradigm in which participants make repeated choices about three decks of
cards in such a way that previous deck-selection influences choices through learning (i.e., outcomes disappeared
from the screen after 300 ms of deck selection - Fig. 3). The use of three options allows us to investigate partici-
pants’ behaviour in a more complex and realistic scenario. By comparing the fits of the two models to trial-by-trial
participant responses, our aim was to establish which model better describes participants’ behaviour while per-
forming our task. In the following sections, we present the main results whereas the mathematical description
of the two models and their predictions, derived from model simulations, can be found in the last section of this
manuscript. SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 3 www.nature.com/scientificreports/ Figure 3. Behavioral paradigm. Learning the value of information
and reward over time when solving
exploration-exploitation problems (d)
During a game, participants faced 6 consecutive trials of the forced-choice task and between 1 and 6 trials of the
free-choice task. The number of free-choice trials was exponentially distributed such that a higher proportion of
games allowed subjects to make 6 free choices. Analysis in the Results section mostly focuses on choices made
by participants during the first trial of the free-choice task (in yellow) being the only trial where reward and
information were uncorrelated2. Learning the value of information
and reward over time when solving
exploration-exploitation problems The
number of times each deck was played varied throughout the experiment: 2 times each deck - equal information
condition; 0, 2, 4 times - unequal information condition. (b) During the free-choice task, participants made
their own decisions among the same three decks of cards displayed during the forced-choice task. Participants
were instructed to attempt to maximize the total points earned at the end of the experiment. After each trial, the
points displayed on the screen were added to the participants’ total score. (c) Participants indicated their choices
using the forefinger, middle finger and ring finger and pressing the keyboard keys ‘1’, ‘2’ and ‘3’, respectively. (d)
During a game, participants faced 6 consecutive trials of the forced-choice task and between 1 and 6 trials of the
free-choice task. The number of free-choice trials was exponentially distributed such that a higher proportion of
games allowed subjects to make 6 free choices. Analysis in the Results section mostly focuses on choices made
by participants during the first trial of the free-choice task (in yellow) being the only trial where reward and
information were uncorrelated2. Figure 3. Behavioral paradigm. A variant of Horizon task2, in which participants chose between options in two
different phases: forced-choice task and free-choice task. (a) During the forced-choice task, three decks of cards
were displayed on the screen (a blue, a red and green deck) and participants were forced to choose a preselected
deck outlined in blue. After selecting the deck, the card turned and revealed the points associated with the
selected option, between 1 and 100 points. At this stage, the points displayed to participants were not added
to their total score. To allow learning, feedbacks of previous trials did not remain visible to participants. The
number of times each deck was played varied throughout the experiment: 2 times each deck - equal information
condition; 0, 2, 4 times - unequal information condition. (b) During the free-choice task, participants made
their own decisions among the same three decks of cards displayed during the forced-choice task. Participants
were instructed to attempt to maximize the total points earned at the end of the experiment. After each trial, the
points displayed on the screen were added to the participants’ total score. (c) Participants indicated their choices
using the forefinger, middle finger and ring finger and pressing the keyboard keys ‘1’, ‘2’ and ‘3’, respectively. Learning the value of information
and reward over time when solving
exploration-exploitation problems A variant of Horizon task2, in which participants chose between options in two
different phases: forced-choice task and free-choice task. (a) During the forced-choice task, three decks of cards
were displayed on the screen (a blue, a red and green deck) and participants were forced to choose a preselected
deck outlined in blue. After selecting the deck, the card turned and revealed the points associated with the
selected option, between 1 and 100 points. At this stage, the points displayed to participants were not added
to their total score. To allow learning, feedbacks of previous trials did not remain visible to participants. The
number of times each deck was played varied throughout the experiment: 2 times each deck - equal information
condition; 0, 2, 4 times - unequal information condition. (b) During the free-choice task, participants made
their own decisions among the same three decks of cards displayed during the forced-choice task. Participants
were instructed to attempt to maximize the total points earned at the end of the experiment. After each trial, the
points displayed on the screen were added to the participants’ total score. (c) Participants indicated their choices
using the forefinger, middle finger and ring finger and pressing the keyboard keys ‘1’, ‘2’ and ‘3’, respectively. (d)
During a game, participants faced 6 consecutive trials of the forced-choice task and between 1 and 6 trials of the
free-choice task. The number of free-choice trials was exponentially distributed such that a higher proportion of
games allowed subjects to make 6 free choices. Analysis in the Results section mostly focuses on choices made
by participants during the first trial of the free-choice task (in yellow) being the only trial where reward and
information were uncorrelated2. Figure 3. Behavioral paradigm. A variant of Horizon task2, in which participants chose between options in two
different phases: forced-choice task and free-choice task. (a) During the forced-choice task, three decks of cards
were displayed on the screen (a blue, a red and green deck) and participants were forced to choose a preselected
deck outlined in blue. After selecting the deck, the card turned and revealed the points associated with the
selected option, between 1 and 100 points. At this stage, the points displayed to participants were not added
to their total score. To allow learning, feedbacks of previous trials did not remain visible to participants. Results In this section, we first describe the analysis related to participants’ behaviour investigating the presence of
behavioural patterns in participants’ data predicted by each model (qualitative model comparison analysis). Subsequently, we present a quantitative analysis to investigate which model better explained participants’ choices. Because all participants accurately performed the gambling-task, playing strategically and learning reward out-
comes throughout the experiment (for details refers to supplementary material), we did not exclude any partici-
pants from our analyses. Qualitative model comparison analysis. Prediction 1: Directed Exploration vs. Exploitation. The first
prediction of kRL and sRL concerns the information manipulation condition, in which decks are sampled une-
venly during the forced-choice task (Fig. 2a). Under this scenario, the kRL model predicts more frequent selection
of the never-experienced deck (0seen) whereas sRL predicts to more frequent selection of options associated
with highest expected reward (exploitation). To investigate how information manipulation affected participants’
strategy selection, we computed directed exploration, random exploration and exploitation in the first free choice
trials of the Information condition (where information was manipulated but mean reward was equal among
decks; see Methods). We conducted the analysis on the first trial of each game, it being the only trial where
reward and information confound were uncorrelated2. Trials were classified as directed exploratory when par-
ticipants chose the option that was never selected during forced-choice trials (0seen deck), exploitative when
participants chose the experienced deck with the highest average of points (regardless of the number of times
that deck had been selected during the forced-choice task) and random exploratory when the classification did SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 4 www.nature.com/scientificreports/ Figure 4. Human behaviour. (a) When information concerning the 3 decks was not always available – unequal
information – participants were more likely to directed explore in the first trial of the free-choice task compare
to exploit and random explore as predicted by kRL. The graph reports results related with Information
condition only (when mean reward were equals among the decks). (b) When unequal amounts of information
were available from the decks (left), the probability of exploitation and random exploration increases under the
High Reward context while the probability to directed explore decreases as predicted by both models. However,
participants showed higher preferences toward directed exploratory options compared to exploitative ones as
predicted by kRL. Results In the equal information condition under different reward contexts (right), participants were
more likely to engage in random exploration in the High Reward context and to engage in exploitation in the
Low Reward context as predicted by both RL models. Figure 4. Human behaviour. (a) When information concerning the 3 decks was not always available – unequal
information – participants were more likely to directed explore in the first trial of the free-choice task compare
to exploit and random explore as predicted by kRL. The graph reports results related with Information
condition only (when mean reward were equals among the decks). (b) When unequal amounts of information
were available from the decks (left), the probability of exploitation and random exploration increases under the
High Reward context while the probability to directed explore decreases as predicted by both models. However,
participants showed higher preferences toward directed exploratory options compared to exploitative ones as
predicted by kRL. In the equal information condition under different reward contexts (right), participants were
more likely to engage in random exploration in the High Reward context and to engage in exploitation in the
Low Reward context as predicted by both RL models. not meet the previous criteria. Averaged values were entered into single factor repeated measure ANOVA. Results
revealed an effect of information on decision strategies F(1,40) = 80.65, p < 10−14 (Fig. 4a). Pairwise comparison
using paired t-test showed significant differences between all comparisons with all p values <10−4, indicating
that under the manipulation of information participants adopted a significantly more directed-exploratory strat-
egy (M = 0.682, SD = 0.168) to the detriment of random exploration (M = 0.086, SD = 0.1069) and exploitation
(M = 0.232, SD = 0.132). This analysis is in line with the first kRL prediction where the probability of engaging in
directed exploration is higher compared to exploitation (for details refer to method section). Similar results were
obtained investigating the decision strategies overall in the unequal information condition (Information + Mixed
condition) and in the Mixed condition alone (where both information and reward were manipulated- see sup-
plementary material). Prediction 2: reward context. The second prediction concerns the effect of reward context on decision strate-
gies (Fig. 2b). Both the sRL and kRL models predict reward context-dependent changes in selecting the 0seen
deck (for details see method section). Results To investigate the models’ predictions, we computed random exploration
and exploitation in the first free choice trials of the Information condition under High and Low Reward con-
text. We conducted a 2 (context: Low Reward, High Reward) by 3 (strategies: exploitation, random exploration,
directed exploration) non-parametric ANOVA. The test allows the use of two-way repeated measure ANOVA in
a non-parametric setting using aligned rank transformation (e.g., ARTool package in R, http://depts.washington. edu/madlab/proj/art/)16. Results showed an effect of strategy F(2,100) = 161.9, p < 10−15, and an effect of context
X strategy F(2,100) = 26.359, p < 10−9 (Fig. 4b), whereas we did not find a general effect of context, p = 0.926. Post-hoc comparisons showed an increase in exploitation in High Reward context (M = 0.329, SD = 0.171)
compared to the Low Reward (M = 0.134, SD = 0.128), p < 10−5; a decrease in directed exploration in the High
Reward context (M = 0.561, SD = 0.201) compared to the Low Reward context (M = 0.803, SD = 0.149), p < 10−7;
and an increment in random exploration in the High Reward context (M = 0.11, SD = 0.092) compared to the
Low Reward context (M = 0.062, SD = 0.074), p = 0.042. The above results are in line with both models’ predic-
tions where the probability to be engaged in directed exploration was reduced in High Reward context. However,
the two models draw different predictions concerning the degree by which the 0seen deck is selected. As a result
of information integration in choice value, kRL predicts higher probability of selecting the 0seen deck in both
reward contexts, whereas sRL predicts to select most often exploitative options in High Reward context. Post-hoc
comparisons in the High Reward context showed that participants performed directed exploration significantly
more compared to exploitation, p = 0.0104 as predicted by the kRL model. p
p
p
p
y
To examine the models’ predictions in the equal information condition (both models predict an increase
in random exploration in the High Reward context- Fig. 2c), we computed decision strategies under High and
Low Reward context. Here, the first trial of each game was labelled as exploitation when participants selected
the deck with the highest average number of points gained during the forced-choice task, and as random explo-
ration otherwise. Results Instead,
in order to disentangle directed exploration from random exploration, we used a version of the task in which
subjects were faced with 3 options. Given our version of the task did not include a specific horizon manipulation,
it is possible that our interpretation of choices of the 0seen option as evidence of directed exploration may be
confounded with “uncertainty preference”17. As discussed in that study, uncertainty preference arises when, in
choosing the least observed option, the potential use of future information is irrelevant (in contrast with directed
exploration where potential use of future information is the driving factor of information seeking). These authors
observed an increase in uncertainty preference in a loss context compared to gain context17. However, our use of
3 options allows us to rule out uncertainty preference as the sole explanation for the observed decrease in selec-
tion of the 0seen option in high reward contexts relative to low reward contexts. Because uncertainty preference
should act on both 0seen and 2seen options, if uncertainty preference was the driving factor in our task, we
should also expect to find higher selection of the 2seen option relative to the 4seen option during the Low Reward
context compared to the High Reward context. We therefore tested this by computing the probability of choosing
each of the non-zero options (2seen and 4seen) in High and Low Reward context of the Information condition. A 2 (option: 2seen, 4seen) by 2 (context: High Reward, Low Reward) repeated measure ANOVA did not show
any effect of option p = 0.289, any effect of context p = 0.584, or interaction effect between context and option
p = 0.919, ruling out uncertainty preference as a factor underlying differences in choice behaviour between high
and low reward contexts (Fig. 5). Quantitative model comparison analysis. Our analyses of behavioural data provide support for the
kRL account of participants’ behaviour. We additionally conducted a quantitative model comparison analysis to
investigate which model best predicted participants’ decision process. We first investigated the goodness-of-fit by
comparing kRL and sRL model responses to participants’ responses toward 0seen options in the Information con-
dition. R-squared computation revealed that kRL was able to explain approximately the 90% of variance in par-
ticipants’ data, R2 (19) = 0.8975 p < 10−11, whereas sRL explained approximately 10%, R2 (19) = 0.073 p = 0.236. Results A 2 (context: Low Reward, High Reward) by 2 (strategy: exploitation, random exploration)
non-parametric ANOVA was adopted. The results showed an effect of strategy F(1,60) = 216.4, p < 10−15, and
effect of condition X strategy F(1,60) = 26.9, p < 10−5) (Fig. 4b), whereas a general effect of context did not SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 5 www.nature.com/scientificreports/ Figure 5. Uncertainty preference and ‘seen analysis’. Probability to choose in the first free-choice trials the
option experienced 2 times (2seen) and 4 times (4seen) during the forced-choice task under different reward
conditions. 2seen and 4seen decks were chosen at the same rate within and between reward conditions
suggesting that choices labelled as directed exploration where indeed guided by an exploratory drive and not by
participants’ preference toward uncertainty. Figure 5. Uncertainty preference and ‘seen analysis’. Probability to choose in the first free-choice trials the
option experienced 2 times (2seen) and 4 times (4seen) during the forced-choice task under different reward
conditions. 2seen and 4seen decks were chosen at the same rate within and between reward conditions
suggesting that choices labelled as directed exploration where indeed guided by an exploratory drive and not by
participants’ preference toward uncertainty. reach significance, p = 1. Post-hoc comparison indicated an increment in random exploration in High Reward
(M = 0.331, SD = 0.139) compared to Low Reward context (M = 0.186, SD = 0.115), p < 10−4 as predicted by both
sRL and kRL model. In the supplementary material, we show that this increase in random exploration in the High
Reward context might be due to an effect of utility vs. cost induced by reward context (Fig. S2). Horizon, Uncertainty Preference, and Directed Exploration. In Wilson et al.2, directed exploration was quanti-
fied as an increase in exploratory decisions on the first free-choice trial for conditions in which participants were
allowed multiple free choices vs. conditions in which they were allowed a single choice. In our version of the task,
we do not include a specific horizon manipulation: the number of free-choice trials was selected randomly from
an exponential distribution such that, in a plurality of games, subjects were allowed 6 free-choices. However,
subjects were not informed as to the number of free-choice trials they would experience during a game. Results Subsequently, we graphically investigated the two models in terms of negative log likelihood. Only one participant
did not benefit from one of the two models laying on the identity line (Fig. 6a). However, because R-squared
and likelihood tend to favour complex models (i.e., models with more explanatory variables) we also compared
the likelihoods of the data given the model while accounting for their different numbers of free parameters (i.e.,
model complexity). To do so, we computed BIC and AIC18,19 values as reported in the methods section. We conducted a classical frequentist analysis with BIC values of the two models entered into the Wilcoxon
Signed Rank Test. Results showed that kRL model (BICkRL = 163.978) best represented participants’ data com-
pared to sRL (BICsRL = 241.838), Z = 3.945, p < 10−6 (Fig. 6b). Results for AIC values were similar to those for BIC
values (Table 1). Fitting to all free-choice trials did not change model comparison results, and simulating both
models with the best-fit parameters reproduced behavioural patterns observed during simulation with random SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 6 www.nature.com/scientificreports/ Figure 6. Comparative fit of the kRL and sRL. (a) The comparison of the fit is based on the negative log
likelihood (i.e., probability of observing the data given the model) of both models. Each point is one participant. The kRL fits better when the point is below the 45° line. Except for one participant who is lying on the identity
line, all participants’ behaviour is better represented by kRL model. (b) BIC of both models (i.e., the likelihoods
of the data given the model while accounting for their different numbers of free parameters). kRL had a
significantly lower BIC compared to sRL. Model with lower BIC values are better able to explain the variability
in the data. Figure 6. Comparative fit of the kRL and sRL. (a) The comparison of the fit is based on the negative log
likelihood (i.e., probability of observing the data given the model) of both models. Each point is one participant. The kRL fits better when the point is below the 45° line. Except for one participant who is lying on the identity
line, all participants’ behaviour is better represented by kRL model. (b) BIC of both models (i.e., the likelihoods
of the data given the model while accounting for their different numbers of free parameters). Results kRL had a
significantly lower BIC compared to sRL. Model with lower BIC values are better able to explain the variability
in the data. sRL (1stchoices)
kRL (1stchoices)
gkRL (1stchoices)
sRL (All Trials)
kRL (All Trials)
gkRL (All Trials)
BIC
241.838 (32.1)
163.978 (50.603)
163.141 (52.469)
809.064 (98.152)
791.092 (97.723)
683.505 (143.789)
AIC
236.135 (32.099)
155.424 (50.603)
151.736 (52.47)
800.554 (98.153)
778.326 (97.724)
666.484 (144.791)
Neg. Log-Lik
116.068 (16.05)
74.712 (25.302)
71.868 (26.235)
398.277 (49.077)
386.163 (48.862)
329.242 (72.395)
Table 1. Model Comparison. BIC, AIC, negative log-likelihood group average and standard deviation reported
for sRL, kRL, and gkRL models fitted to both the 1st and all free-choice trials. Models that best scored during the
model comparison are underlined. sRL (1stchoices)
kRL (1stchoices)
gkRL (1stchoices)
sRL (All Trials)
kRL (All Trials)
gkRL (All Trials)
BIC
241.838 (32.1)
163.978 (50.603)
163.141 (52.469)
809.064 (98.152)
791.092 (97.723)
683.505 (143.789)
AIC
236.135 (32.099)
155.424 (50.603)
151.736 (52.47)
800.554 (98.153)
778.326 (97.724)
666.484 (144.791)
Neg. Log-Lik
116.068 (16.05)
74.712 (25.302)
71.868 (26.235)
398.277 (49.077)
386.163 (48.862)
329.242 (72.395)
Table 1. Model Comparison. BIC, AIC, negative log-likelihood group average and standard deviation reported Table 1. Model Comparison. BIC, AIC, negative log-likelihood group average and standard deviation reported
for sRL, kRL, and gkRL models fitted to both the 1st and all free-choice trials. Models that best scored during the
model comparison are underlined. parameters (details for both analysis in the supplementary). In sum, both our qualitative and quantitative model
analyses indicate that participants’ choice behaviour integrated both reward and information into a choice value. parameters (details for both analysis in the supplementary). In sum, both our qualitative and quantitative model
analyses indicate that participants’ choice behaviour integrated both reward and information into a choice value. Non-linear information gain. Although kRL was better able to explain the participants’ behaviour using a para-
metric integration of information, our assumption, building from the binary coding of information suggested by
Wilson et al.2, that information scales linearly with the number of samples (equation 4) may be incorrect. It may
be the case that information gain is subject to diminishing returns: each additional observation of an option may
yield progressively less additional information regarding that option. Results Alternately, it may be the case that, at least
for situations (as in the present task) in which only a few samples of each option are available, additional observa-
tions may provide a greater-than-linear amount of information. To better investigate the nature of the scaling, we
evaluated the kRL model against a version (the gamma kRL, or gkRL model) that allows information to increase
sub- or super-linearly with the number of observations: ∑
=
=
≠
=
γ
I
c
i
c
i
c
choice
c
choice
c
( )
( )
where,
( )
0,
1,
(1)
t j
t
t j
t j
,
1
,
, (1) Here information was computed by including an exponential term, gamma, for the sum of observations It,j(c)
and then integrating this computation in the choice value Vt,j(c) as in equation (5). Gamma defines the degree
of non-linearity in the amount of information obtained as a function of the number of observations, it,j Choices
were made as in equation 6. As with the kRL model, we fit the gkRL model to both first free-choice trials and all
free-choice trials and conducted model comparisons. A paired t-test on BIC values showed no difference between SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 7 www.nature.com/scientificreports/ gkRL model (BICgkRL = 163.141) and kRL (BICkRL = 163.978), t(20) = −0.595, p = 0.559, when fit to first-free
choices only, whereas a paired t-test on AIC values revealed a lower value in gkRL model (AICgkRL = 151.736)
and kRL (AICkRL = 155.424), t(20) = −2.62, p = 0.016. However, when fit to all free-choices, Wilcoxon Signed
Rank Test showed gkRL model (BICgkRL = 683.505) best represented participants’ data compared to kRL
(BICkRL = 791.092), Z = 6.054, p < 10−4. The discordant results obtained when fitting only the first free-choice
trials might be due to the bias toward simple models for BIC and to complex models for AIC20. While the gkRL
model was not decisively better than the kRL model when fitted to first free-choice trials, the BIC and AIC scores
from all trials suggest at least equivocal evidence in favour of the gkRL model. Analysis of the gamma parameter
estimates suggest that, to the extent the gkRL model explains our data better than the kRL model, it is due to a
sub-linear influence of observations on information. Discussion
Th
l The exploration-exploitation dilemma is a fundamental conflict faced by humans when adapting to the demands
of their environment. The resolution of the dilemma is achieved following either a random or a directed strategy. However, in previous work directed strategies were mostly confounded by random strategies making difficult to
investigate whether information processing influenced the resolution of the dilemma. In this study, we imple-
mented a version of a previous paradigm that is able to separately identify directed and random strategies2 and we
examined how learning about reward and information over time influences the resolution of dilemma. We mod-
ified the previous version of the paradigm to make learning a requisite for good performance (see also21), and we
compare two computational solutions to investigate the learning problem. Our results suggest that humans learn
a combined reward/information value when facing sequential exploration-exploitation problems. Moreover, the
degree to which reward and information are integrated depends on the learning context in which decisions are
made (i.e., the number of times options are selected and the overall level of reward associated with the options). Together, these findings shed additional light on the mechanisms underlying decision-making under uncertainty
and suggest new approaches for investigating the exploration-exploitation dilemma. In the following, we discuss
the implications of our main results. Our data showed that participants played strategically during the games, learning about reward outcomes
throughout each game. Moreover, participant behaviour was better described by a δ learning rule compared
to estimating an average of observed outcomes (supplementary material), as suggested by previous works2. Furthermore, our results showed that choices made by participants reflected the integration of both reward and
information over time, replicating findings that information-seeking behaviour intervenes during the resolution
of the exploration-exploitation dilemma2,22,23. When making decisions among alternatives that differ in their
informative value, participants preferentially sample from options that will provide more information, inhibiting
their default tendency to choose highly rewarded options5 in favour of more uncertain, but potentially better,
alternatives. Under previous formulation, information gain is prospective, and prospective gains in information
contribute positive value to the expected value (in points) of choosing an uncertain option2. Conversely, in kRL’s
formulation, information is considered retrospective - the amount of information acquired during the past- and
it is added as negative value: directed exploration is realized by reducing the probability of selecting well-known
alternatives. Results The mean gamma parameter estimate when fit only to the
first free-choice trials was 0.411, significantly lower than 1 (linear), p < 10−4. This sub-linear influence is more
pronounced in fits of the gkRL model to all free-choice trials: here the mean gamma estimate is 0.103, signifi-
cantly lower than the estimated gamma parameter for fits only to the first free-choice trials (p = 0.002). These
results suggest that, as the number observations increases (in the free-choice trials), the sub-linear information
gain becomes more relevant, while in the first free-choice trial, the effective level of information gained from 4
observations, while less than double that gained from 2 observations, is still behaviourally relevant. SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w Discussion
Th
l Our results showed that participants integrated information as parametric function of the number of
observations of one option compared to a simple binary coding scheme signifying greater or lesser information
(supplementary material) as previous models would predict2. Our results also suggest that information integra-
tion is sub-linearly related to number of observations, consistent with decreases in uncertainty in the Bayesian
posterior (quantified by either entropy or variance). While both retrospective and prospective formulations can
account for exploratory behaviours in humans, the exact manner in which information is computed and is inte-
grated in choice values remains an open question and should be the subject of future research.i While our study replicates prior findings of the use of information during the resolution of the dilemma, the
evidence concerning directed exploration has is not been consistent in the literature. Several studies have failed
to find information integration during exploration5,6. For example, in Daw et al.5, a model that considered only
reward as driving factor for its choices was better able to explain participants’ performance on a bandit task com-
pared to a model that also integrated information. However, the particular instantiation of bandit tasks in those
studies might explain this failure8. Generally, in bandit tasks, reward and information are confounded24, hence
making it difficult to discern random from directed exploration2. Additionally, bandit tasks often involve drifts in
the rate of payoffs associated with each bandit5, leading to the possibility that participants cannot accurately track
reward mean or variance as predicted by the model. Therefore, even if subjects did utilize directed exploration,
the model would not be able to uncover it due to mis-modeling of subjects’ probabilistic beliefs and the reward
distributions. Additionally, our data indicated that the reward context (i.e., the overall level of reward associated with the
options) may influence how humans integrate reward and information when solving the exploration-exploitation
dilemma. In higher reward contexts, participants showed an increment in their preference for highly rewarded
decks and a decrement in their preference for the most informative option. This effect was not due to a
context-dependent decrease in uncertainty preference, but it was instead a specific effect of directed exploration. These results are in line with previous findings where learning contexts appeared to influence decision-making
strategies13,14. Methods
P
i i Participants. Twenty-one young healthy adults participated in this study (12 women; aged 19–29 years, mean
age = 23.24). The inclusion criteria were as follows: normal color vision, right-handed, and absence of psycho-
active treatment. The entire group belonged to the Belgian Flemish-speaking community. The experiment was
approved by the UZGent ethics committee and conducted according to the Declaration of Helsinki. Informed
consent was obtained from all participants prior to the experiment. Procedure. Participants played 128 games of a gambling-task, where on each game repeated choices were
made among 3 decks of cards (Fig. 3). The task is a variant of the Horizon task2, in which participants chose
between two options in two different phases: forced-choice task and free-choice task. Our experimental task differs
in four ways from the Wilson et al. task. First, participants chose among three options, depicted as decks of cards
(Fig. 3). Second, information regarding the points earned following a choice did not remain visible following
feedback, allowing learning during the task. Third, while the forced-choice task lasted 6 trials in all the games
(constant number as in Wilson et al.2), the length of the free-choice task ranged from 1 to 6 trials. The number of
free-choice trials was exponentially distributed such that a higher proportion of games allowed subjects to make
6 free choices. Fourth, the length of the free-choice task (i.e., horizon) was not cued to participants, so that in our
version participants were not aware of the total number of free-choice trials they would have on any trial.ht The decks of cards were arranged on the left, centre and right side of the computer screen (Fig. 3) and partic-
ipants indicated their choices using the keyboard keys ‘1’, ‘2’ and ‘3’, respectively. After each choice, the chosen
card was flipped to reveal a number indicating the points earned by the participant for selecting that deck. Each
option paid off between 1 and 100 points, and the number of points earned for selecting a deck was sampled
from a Gaussian distribution with standard deviation of 8 points. On each game, the generative mean of each
deck was set to 30 (Low Reward condition) or 50 (High Reward condition). Discussion
Th
l Moreover, the framing effect10 can explain the decrement in directed exploration observed in our SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 8 www.nature.com/scientificreports/ study during high reward context: when experiencing gains, humans tend to engage in uncertainty-averse behav-
iours17,25. Furthermore, framing the dilemma in terms of losses has also been associated with exploratory strat-
egies26. Exploratory behaviour thus seems to depend both on the amount of information regarding available
options as well as the context in which the decision is made. However, the results of our study concerning random
exploration nuance this view; we found that random exploration increased under high reward context both in
the equal and unequal information conditions. Our results suggest that the decrease in random exploration in
low reward context might be explained by an increase in cost or by a decrease in utility of switching among alter-
natives in this condition (supplementary material). These findings are in line with predictions made by optimal
foraging theory15: in a rich habitat, exploration among patches may increase because searching further is more
likely to yield better outcomes, whereas in poorer environments, patch exploitation increases because it will be
more difficult and costly to find better outcomes27. Thus, two different processes appear to underlie the resolution
of the exploration-exploitation dilemma under different reward contexts, and their characterization depends on
the type of exploratory strategies adopted. Our results are in line with recent findings where random and directed
exploration showed distinct underlying mechanisms21, however our results also confirm that both random and
directed exploration show a common exploratory drive (see supplementary).i p
p
y
(
pp
y)
Although our study replicated findings of the use of information by humans during the resolution of the
dilemma bringing additional knowledge on the learning mechanism involved, there are nonetheless limitations
that may influence the scope of our results. These limitations relate primarily to the formulation of our task
as a series of discrete games in which task-relevant information (global mean reward value, information about
options) is reset prior to the start of each game. Discussion
Th
l In typical bandit tasks, which have been well-studied from a cog-
nitive and machine-learning perspective, the value of options evolves over the course of an experiment, leading
to the incorporation of mechanisms by which the influence of previous observations is discounted as a function
of time28, estimates of uncertainty related to ongoing experience with the task5,22, and continuous adjustments
of value predictions for options. In order to adapt the kRL model to these more traditional tasks, similar mecha-
nisms may need to be included in future iterations of the model. y
Despite these limitations, a new view of the exploration-exploitation dilemma is suggested, considering explo-
ration and exploitation trade-off as a class of problems spanning different scales29,30. We showed that depend-
ing on the scale adopted (information, reward, experience, context) the resolution of the dilemma might differ
as well as its hidden mechanisms. Future studies should take into account this perspective to better explain
exploration-exploitation phenomenon throughout the animal kingdom. SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w www.nature.com/scientificreports/ option should be closer together and around chance. Conversely, if the change in information maximization is
due to decreased directed exploration, thus not affecting the level of noise in participants’ choices, the probabili-
ties of choosing the other two options should not change from one context to another. g
p
g
During the forced-choice task, we manipulated the information about the decks of cards acquired by par-
ticipants (i.e., the number of times each deck of cards was played). The information manipulation we adopted
differed from Wilson et al. Here, on each game, participants were forced to either choose each deck 2 times (equal
information condition), or to choose one deck 4 times, another deck 2 times, and 0 times for the remaining deck
(unequal information condition). We decided to adopt this manipulation so as to maintain the differences of infor-
mation among decks (4 times – 2 times and 2 times – 0 times) to be two, as in Wilson et al. In 50% of the games,
participants played with the equal information condition. The order of card selection was randomized in both
information conditions. Participants were instructed to choose among the three decks of cards in the free-choice task so as to maximize
their final score (i.e., the amount of points earned throughout the experiment). The total score was converted to a
monetary payoff at the end of the experiment (i.e., 0.01 euros every 60 points). Participants were told that during
the forced-choice task of certain games they could sample options at different rate, and that the decks of cards did
not change during the same game, but were replaced by new decks at the beginning of each new game. However,
they were not informed of the reward manipulation and the underlying generative distribution we adopted.f y
p
y
g g
p
Crossing the information and reward manipulations, we therefore obtained 4 different conditions: Reward,
Information, Baseline, and Mixed. Reward and information were the main conditions, whereas Baseline and
Mixed were the control conditions. The main conditions were used to test our hypotheses. Each of the main con-
ditions consisted of 42 games each. In the Reward condition, reward was manipulated (unequal reward), whereas
information was equal (equal information). In the Information condition the generative means of each option
were equal (equal reward) and information varied (unequal information). www.nature.com/scientificreports/ The sRL model uses a simple δ learning rule31 to compute the expected reward value Q(c)
or each deck of cards c (=Left, Central or Right) on each trial, using the following equation: α
δ
=
+
×
+
Q
c
Q
c
( )
( )
(2)
t
j
t j
t j
1,
,
, α
δ
=
+
×
+
Q
c
Q
c
( )
( )
t
j
t j
t j
1,
,
, (2) where Qt,j(c) is the expected reward value for trial t and game j. δ
=
−
R
c
Q
c
( )
( )
t j
t j
t j
,
,
,
is the prediction error,
which quantifies the discrepancy between the previous predicted outcome and the actual outcome obtained at
trial t and game j. The prediction error enables the model to adjust its predictions on a trial-by-trial basis, adapt-
ing reward expectations to new information. The degree by which new outcomes are integrated with the expected
reward value Qt+1,j(c) depends on the learning rate α. With small α the model slowly updates it estimate of Q in
response to new information (i.e., points obtained after a trial), whereas with higher values the model integrates
new information more rapidly. In other words, with lower learning rate the model expects lower rate of change of
the environment32. The expected reward Qt+1,j(c) is updated using the above rule only if an outcome from the
deck c is observed, otherwise Qt+1,j(c) keeps the value of the previous trial. In order to generate choice probabili-
ties based on expected reward values, the model uses a softmax choice function5,33,34. The softmax rule is
expressed as: β
β
|
=
×
∑
×
+
+
+
(
)
(
)
(
)
P c Q
c
Q
c
Q
c
( )
exp
( )
exp exp
( )
(3)
t
j
i
t
j
i
t
j
i
1,
1,
1, (3) where β is a free parameter known in reinforcement learning as the inverse temperature. β determines the degree
to which choices are directed toward the highest rewarded option. With higher β the model is mainly exploitative,
whereas with lower β the model chooses the deck more randomly. Considering that participants were told that
games were independent from one another, Q0 is initialized at the beginning of each game35. www.nature.com/scientificreports/ The control conditions consisted of 20
Baseline games and 22 Mixed games. In the Baseline condition, both reward and information for each deck were
equal (i.e. the generative means and information were equal among the 3 decks, and each deck was seen twice
during the forced-choice phase), whereas in the Mixed condition both manipulations were introduced (unequal
reward/unequal information). In each condition, reward context was manipulated by setting the mean of the
Gaussian to 30 in 50% of the games and to 50 in the rest of the games to which the noise of +/− 0, 4, 12, 20 points
per deck was added for each specific game. For each participant, the order of appearance of the 4 conditions was
selected randomly, so each participant experienced a different game sequence. Computational models. To achieve good performance during our task, participants needed to learn reward
outcomes associated with each deck of cards on a trial-by-trial basis. Tracking this information helps them max-
imize their final score and earn more money during the experiment. Because our task involved learning reward
outcomes over time, we implemented two computational models based on reinforcement learning. In order to
quantify how reward and information may influence choice behaviour, we compared two alternative RL models
to determine which model could potentially explain participants’ behaviour during our task. The first model is
a standard Reinforcement Learning model (sRL) that focuses its learning on reward outcomes only, and uses
reward expectations as the driving factor of choice. The second model is a knowledge Reinforcement Learning
that learns reward outcomes (as in sRL), and tracks the information gained from experienced decks. At the time
of the decision, kRL integrates reward and information into an overall choice value. A comparison between the
features of sRL and kRL is shown in Fig. 1. In the following sections, we present the mathematical description of
the two models as well as their predictions, derived from model simulations. tandard RL model. Methods
P
i i To avoid the influence of learned
meta-information regarding the task (specifically, the possibility that participants may learn that, on each game,
the points for each deck are generated from a specific mean of determinable value, and thus could estimate the
value of a deck after a single trial), deck means were additionally adjusted by +/− 0, 4, 12, & 20 points on each
game (generative Gaussian ranges from 10 to 70 points). The mean and standard deviation of the generative
Gaussian were stable within a game and varied between games. The 3 decks of cards had the same generative
means in 50% of the games (equal reward) and different means in the rest of the games (unequal reward). In the
unequal reward condition, the generative means differed so that two options had higher means compared to the
third one in 25% of the total games (High Reward Context) and had lower means in the remaining games of the
unequal reward condition (Low Reward Context).hf The use of three options allows us to dissociate effects related to directed exploration from random exploration
between different reward contexts. For example, if choices that maximize information gain decrease from one
context to another, this decrease could be a consequence either of decreased directed exploration (participants
become less information seeker), or increased random exploration (participants’ choices become noisier). If the
change is due to an increase in random exploration, then, for trials in which the subject chose one of the remain-
ing available options in which information gain is not maximized, the probabilities of the subject choosing either SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 9 www.nature.com/scientificreports/ www.nature.com/scientificreports/ Information accumulated during the forced-choice task
scales values Vt,j(c) so that increasing the number of observations of one option decreases its final value. In other
words, when one option is over-selected It,j(c) becomes larger resulting in lower Vt,j(c) On the contrary, if one
option is never-selected It,j(c) is zero, and
=
+
V
c
Q
c
( )
( )
t j
t
j
,
1,
. ω is a weighting parameter that determines the
degree by which the model integrates information in choice value Vt,j(c).t ,j
Choices are made probabilistically using the softmax rule where options with higher values Vt,j(c) result in
higher probability to be selected: β
β
=
×
∑
×
(
)
(
)
(
)
P c V
c
V
c
V
c
/
( )
exp
( )
exp exp
( )
(6)
t j
i
t j
i
t j
i
,
,
, (6) Model predictions. In order to derive behavioural predictions, we simulated the sRL and kRL models performing our
sequential gambling-task (forced-choice task + free-choice task). For the purpose of the simulation, we drew random
values for model parameters α]0,1], β]0,20], ω]0,20] at every simulation. Both models were simulated 80 times. As the
difference between the two models related specifically to information computation, we examined their predictions prin-
cipally in the Information condition, even though the model was simulated in all experimental conditions. Predictions
for the equal information conditions are also reported considering their relevance for the behavioural analysis. Model predictions. In order to derive behavioural predictions, we simulated the sRL and kRL models performing our
sequential gambling-task (forced-choice task + free-choice task). For the purpose of the simulation, we drew random
values for model parameters α]0,1], β]0,20], ω]0,20] at every simulation. Both models were simulated 80 times. As the
difference between the two models related specifically to information computation, we examined their predictions prin-
cipally in the Information condition, even though the model was simulated in all experimental conditions. Predictions
for the equal information conditions are also reported considering their relevance for the behavioural analysis. Prediction 1: Directed Exploration vs. Exploitation. In the information manipulation condition, in which decks are
sampled unevenly during the forced-choice task, the kRL model predicts more frequent selection of the 0seen deck
compared to the other two decks. www.nature.com/scientificreports/ However, despite
the independence among games, we assumed that participants could learn the long-run average of all decks over where β is a free parameter known in reinforcement learning as the inverse temperature. β determines the degree
to which choices are directed toward the highest rewarded option. With higher β the model is mainly exploitative,
whereas with lower β the model chooses the deck more randomly. Considering that participants were told that
games were independent from one another, Q0 is initialized at the beginning of each game35. However, despite
the independence among games, we assumed that participants could learn the long-run average of all decks over SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 10 www.nature.com/scientificreports/ the course of the experiment; that is, participants did not begin each game as if starting the experiment with no
knowledge, but with an estimate of the possible average value of each deck. In other words, prior reward expec-
tations Q0 are set as the value of the mean between the two-main generative Gaussian distributions. To obtain a
global estimate of the expected reward values for each deck, we simulated the δ learning rule on 1200 forced-trials
×128 games. For each game, Q values were initialized to 0 and updated over all 1200 trials. The final Q values for
each game were recorded, and the average of the final Q values (~40 points for each option) for each of the 128
games were used as the value of Q0 (equation 2). the course of the experiment; that is, participants did not begin each game as if starting the experiment with no
knowledge, but with an estimate of the possible average value of each deck. In other words, prior reward expec-
tations Q0 are set as the value of the mean between the two-main generative Gaussian distributions. To obtain a
global estimate of the expected reward values for each deck, we simulated the δ learning rule on 1200 forced-trials
×128 games. For each game, Q values were initialized to 0 and updated over all 1200 trials. The final Q values for
each game were recorded, and the average of the final Q values (~40 points for each option) for each of the 128
games were used as the value of Q0 (equation 2). Knowledge RL model. www.nature.com/scientificreports/ To account for potential influence of information on choice values, we implemented a
version of the sRL that incorporates a mechanism reflecting the knowledge gained about each deck during a
game - the kRL model. As in the sRL, the kRL model computes expected reward values using the δ learning rule
described in equation 1, and Q0is initialized using the global estimate of reward values (Q0). Additionally, kRL
tracks information gained from each deck based on how often it is selected, as follows: ∑
=
=
≠
−
I
c
I
c
I
c
choice
c
choice
c
( )
( )
where,
( )
0,
1,
(4)
t j
t
t j
t j
,
l
,
, (4) It,j(c) is the amount of information associated with the deck c at trial t and game j. After six trial of forced choice
task, if one option has never been selected It,j(c) has value zero, whereas in the case one option is selected 4
times, It,j(c) has the value 4. This dynamic and trial-dependent measure of information has been developed as an
extension of the previous ‘nothing-or-all’ information bonus discussed in2. As in previous work2, information is
assumed to interact with reward in influencing choice behaviour as an additional factor in determining value,
and this interaction may positive (more information regarding a deck increases the subjective value of that deck)
or negative (more information regarding a deck decreases that value of selecting that deck). In the context of the
current task, on the first free choice trial, acquired information is thought to have a negative drive- it is beneficial
for the subject to explore additional options that they never or less experienced during the forced- choice task. Therefore, in the kRL model, we model the impact of information as negative: after each forced-choice task, kRL
subtracts the information gained It,j(c) to the expected reward value Qt+1,j(c): ω
=
−
∗
+
V
c
Q
c
I
c
( )
( )
( )
(5)
t j
t
j
t j
,
1,
, ω
=
−
∗
+
V
c
Q
c
I
c
( )
( )
( )
t j
t
j
t j
,
1,
, (5) Vt,j(c) is the final value of the deck c. ω is a weighting parameter that determines the degree by which the
model integrates information in choice value Vt,j(c). SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w www.nature.com/scientificreports/ www.nature.com/scientificreports/ Prediction 2: Reward Context. Both the sRL and kRL models predict reward context-dependent changes in
directed exploration (Fig. 2 b, both p < 10−3). In the high-reward context (generative mean of all decks is 50) the
expected reward Qt+1,j(c) from experienced decks is higher than the prior expectation of the decks Q0. The
long-run value of Q0 is around the mean of the two Gaussian distributions (~40 points). In the High Reward
context, Qt+1,j(c) increases for decks that are sampled during the forced-choice component of the task, while the
expected value of the 0seen decks is not updated,
=
+
Q
seen
Q
(0
)
t
j
1,
0 . p
p
+
Q
Q
(
)
t
j
1,
0
As a consequence, the expected value of the 0seen deck is lower than the expected value of the other two
decks, and the probability to select the 0seen deck decreases. Conversely, in the Low Reward context, the Q values
for decks sampled during the forced-choice task decrease below the prior Q value, with the result that the Q value
for the 0seen deck tends to be higher, resulting in an increased likelihood of selecting the 0seen option. However,
the two models draw different predictions concerning the degree by which the probability of selecting the 0seen
deck. Because kRL integrates information with Q values during choice, the choice value Vt,j(c) the probability
of selecting the 0seen deck is higher relative to the 2seen and 4seen options in both reward contexts (Fig. 2b, all
p < 10−3). In contrast, while the sRL predicts a higher probability of selecting the 0seen option in the Low Reward
context (similar to kRL), it also predicts a higher probability of selecting the option with the highest Q value in the
High Reward Context (Fig. 2b, both p < 10−3). Additionally, we also looked at the effect of reward contexts on ran-
dom exploration in the equal information condition. Both models predict participants to be more likely to engage
in random exploration in the High Reward context compared to Low Reward context (Fig. 2c, both p < 10−3). Model fitting and model comparison. To decide which model better explains participants’ behaviour
during the task, we collected trial-by-trial participants’ choices to fit the free parameters α, β, (sRL & kRL) and ω
(kRL) of each model (Table S1). www.nature.com/scientificreports/ Parameters were fit using the first free-choice trials, as in2 and all free-choice
trials as reported in the supplementary material. During the fitting procedure, the negative log likelihood -
∑=
=
P c
log( ( ))
j
j
1
1
128
for each participant under each model was computed. The negative log likelihood was then
minimized to obtain an estimate of the parameters for each participant under both models using MATLAB and
Statistics Toolbox Release 2015b unconstrained optimization function fminsearch. The resulting negative-log like-
lihoods were used to compute the model evidence (or the log model evidence - the probability of obtaining the
observed data given a particular model). We adopted an approximation to the (log) model evidence, namely
Bayesian Information Criterion (BIC18) and Akaike Information Criterion (AIC19). Model evidence was used as
a comparing estimate of the accuracy of the two models in describing participants’ performance on our task. Statistical analysis. Statistical analysis was performed using RStudio (https://www.rstudio.com/), functions
and packages adopted are reported in the results section. To determine how reward and information affected
strategy selection, we conducted repeated measure ANOVA. When violations of parametric tests were indi-
cated, non-parametric tests were performed. All statistical tests were two-tailed. Multiple tests were corrected by
Bonferroni correction and a p-value of <0.05 was considered significant. Data availability. The data that support the findings of this study are available from the corresponding
author upon request. References 1. Sutton, R. S. & Barto, A. G. Reinforcement learning: An introduction. (MIT Press, 1998). 1. Sutton, R. S. & Barto, A. G. Reinforcement learning: An introduction. (MIT Press, 1998). 1. Sutton, R. S. & Barto, A. G. Reinforcement learning: An introduction. (MIT Press, 1998). f
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of points obtained in the forced-choice task) or random exploration (i.e., choosing the experienced deck with lower
point average) (Fig. 2a) (both p < 10−3). Under kRL, the value of an option is adjusted by the amount of information
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humans should select the option with the highest expected payoff. SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 11 SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w www.nature.com/scientificreports/ www.nature.com/scientificreports/ 1. Zajkowski, W. K., Kossut, M. & Wilson, R. C. A causal role for right frontopolar cortex in directed, but not random, exploration. Elife
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parameters. Prog Brain Res 202, 441–464, https://doi.org/10.1016/B978-0-444-62604-2.00022-8 (2013). Author Contributions I.C.D. and W.A. designed and carried out the experiment and discussed the computational modelling. I.C.D. performed the analysis of the data and the model analysis. I.C.D., A.J.Y. and W.A. discussed and interpreted the
data. I.C.D., A.J.Y., A.C. and W.A. wrote the manuscript. SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w References Learn
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19. Akaike, H. A new look at the statistical model identification. IEEE Trans. Automatic Control, 716–723 (1974).t i
20. Kass, R. E. & Raftery, A. E. Bayes factors and model uncertainty. (University of Washington, 1993). SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 12 Acknowledgements g
ICD is a researcher supported by F.R.S.-FNRS grant (Belgium). This work was in part funded by NSF CRCNS
grant (BCS-1309346) to AJY. AC is a research director with the F.R.S.-FNRS (Belgium). WA was supported in part
by FWO-Flanders Odysseus II Award #G.OC44.13N. Additional Information Additional Information Supplementary information accompanies this paper at https://doi.org/10.1038/s41598-017-17237-w. 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
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 Cre-
ative 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 per-
mitted 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/. © The Author(s) 2017 SCIENtIfIC Reports | 7: 16919 | DOI:10.1038/s41598-017-17237-w 13
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11th
Annual Assembly of the
Croatian Cartographic Society
March 1 5, 201 3, Zagreb March 1 5, 201 3, Zagreb The 11th Annual Assembly of the
Croatian Cartographic Society (CCS)
took place at the Hall of the Faculty of
Architecture, Geodesy and Civil Engin-
eering, Kačićeva 26 in Zagreb on March
15, 2013. The assembly was led by Prof. Dr. Miljenko Lapaine, the president of
CCS. knowledge gained during the training
atthemilitaryacademy. promotion of the monograph Topo-
graphic maps on the territory of Croatia at
Croatian State Archive in cooperation
with State Geodetic Administration
(SGA). After the lecture there was a dis-
cussion during which Dr. Pahernik
gladly answered to all given questions. Afterwards, the president of CCS awar-
ded the colonel a monograph Topo-
graphic maps on the territory of Croatia. Then the president of CCS started the
official part of the Assembly with a
proposalofagenda: On May 23, 2012 at the Ceremonial
hall of the University of Zadar, there
was a commemorative event on 500
years of Gerard Mercator’s birth. The
organizers were Geography and His-
tory departments of the University of
Zadar, Croatian Cartographic Society
and Croatian Geographic Society Zadar. There were four lectures held at the
Event. M. Lapaine held the lecture on
Mercator’sprojection. At the beginning Assist. Prof. Dr. Dražen Tutić, the Vice-Dean for educa-
tion and students greeted everyone in
behalf of the Faculty of Geodesy. After-
wards, in the first unofficial part, Col-
onel Dr. Mladen Pahernik held keynote
lecture Military Cartography at Croatian
MilitaryAcademy. 1. Approvalofagenda
l f h
bl 2. Approval of the previous assembly
minutes 3. President's report about work in
2012 The lecture consisted of three seg-
ments: on Croatian Military Academy
Petar Zrinski, programmes connected
to information technology and carto-
graphy on different levels of Military
Academy studies and CAX simulation. The Assembly participants learnt about
the history of Croatian Military Aca-
demy Petar Zrinski and all its levels,
through a short film during the first
segment of the lecture. The second seg-
ment was linked to a programme inter-
connection of geoscientific subjects on
all academy levels, passed by soldiers
through every training level and in all
fields, from inventorying of space at
the lowest level, through space analysis,
to space management at the highest
level of training. Geosubjects are con-
nected to geodesy, geoinformation, GIS
and geography. FROM PROFESSIONAL SOCIETIES
11th
Annual Assembly of the
Croatian Cartographic Society
March 1 5, 201 3, Zagreb FROM PROFESSIONAL SOCIETIES
11th
Annual Assembly of the
Croatian Cartographic Society
March 1 5, 201 3, Zagreb FROM PROFESSIONAL SOCIETIES 11.
godišnja skupština
Hrvatskoga kartografskog društva 1 5. ožujka 201 3., Zagreb Jedanaesta godišnja skupština Hr-
vatskoga kartografskog društva (HKD)
održana je 15. ožujka 2013. s početkom
u 12 sati u Vijećnici AGG fakulteta, Ka-
čićeva 26 u Zagrebu. Skupštinu je vodio
prof. dr. sc. Miljenko Lapaine, predsjed-
nikHKD-a. Nakon predavanja razvila se ras-
prava u kojoj je dr. Pahernik rado odgo-
varao na postavljena pitanja. Nakon
rasprave predsjednik HKD-a je u znak
zahvalnosti pukovniku uručio mono-
grafiju Topografske karte na području Hr-
vatske. Zatim je predsjednik HKD-a
otvorio službeni dio godišnje skupštine
prijedlogomdnevnogreda: Najprije je doc. dr. sc. Dražen Tutić,
prodekan za nastavu i studente u ime
Geodetskog fakulteta pozdravio sve na-
zočne. Zatim je u prvom, neslužbenom
dijelu, pukovnik dr. sc. Mladen Pahernik
održao pozvano predavanje Vojna karto-
grafijanaHrvatskomvojnomučilištu. 1. Utvrđivanjednevnogareda
2. Ovjera zapisnika s prethodne Skup-
štine
3. Izvještaj predsjednika o radu u
2012.godini
4. Financijskiizvještajza2012.godinu
5. IzvještajNadzornogodbora
6. Planradaza2013.godinu
7. Financijskiplanza2013.godinu
8. DodjelaZahvalnicaHKD-a
9. Različito 1. Utvrđivanjednevnogareda
2. Ovjera zapisnika s prethodne Skup-
štine
3. Izvještaj predsjednika o radu u
2012.godini
4. Financijskiizvještajza2012.godinu
5. IzvještajNadzornogodbora
6. Planradaza2013.godinu
7. Financijskiplanza2013.godinu
8. DodjelaZahvalnicaHKD-a
9. Različito 1. Utvrđivanjednevnogareda 2. Ovjera zapisnika s prethodne Skup-
štine 3. Izvještaj predsjednika o radu u
2012.godini Predavanje je bilo strukturirano u
tricjeline:oHrvatskomvojnomučilištu
Petar Zrinski, programima koji su ve-
zani uz informatiku i kartografiju na
različitim razinama studija vojnog uči-
lišta te o simulaciji CAX. Kroz kratki
film u prvom dijeli predavanja, sudi-
oniciSkupštinesaznalisuopovijesnom
razvoju Hrvatskog vojnog učilišta Petar
Zrinski i svim razinama od kojih se uči-
lište sastoji. Drugi dio predavanja bio je
vezan uz programsku povezanost ge-
oznanstvenih predmeta na svim razi-
nama učilišta, koji vojnici prolaze kroz
sve stupnjeve školovanja i u svim stru-
kama, od inventarizacije prostora na
najnižoj razini, preko analize prostora
pa sve do upravljanja prostorom na
najvišoj razini školovanja. Geopredmeti
su vezani uz geodeziju, geoinformacije,
GIS i geografiju. Kroz CAX simulaciju
prikazanajeutrećemdijelupredavanja
stožernavježbakojunakrajustudijana
vojnom učilištu polaznici polažu, a po-
vezuje sva teorijska znanja koju su voj-
nici stekli tijekom školovanja na voj-
nomučilištu. Sjednice Predsjedništva održane su
uskladusaStatutomčetiriputaugodini. akademija u povodu 500. obljetnice ro-
đenja Gerarda Mercatora. Organizatori
su bili Odjel za geografiju i Odjel za po-
vijest Sveučilišta u Zadru, Hrvatsko
kartografsko društvo i Hrvatsko geo-
grafsko društvo – Zadar. Na svečanoj
akademiji održana su četiri predavanja. OMercatorovojprojekcijipredavanjeje
održaoM.Lapaine. U 2012. objavljeni su brojevi 17 i 18
našeg časopisa Kartografija i geoinfor-
macije. 11th
Annual Assembly of the
Croatian Cartographic Society
March 1 5, 201 3, Zagreb In the third segment,
CAX simulation showed a staff exercise
which is taken by military academy
attendants at the end of the pro-
gramme, and it connects all theoretical OnJuly9,2012CCSorganizedatour
Zagreb–Varaždin–Borl–Jeruzalem–Za-
greb on the occasion of 250 years of Vi-
enna meridian survey and a visit to the
oldest trigonometry point in Croatia. 25 people participated in the tour. That
tour should have been the first step in
attempt to mark out, with a memorial
or a monument, the final point of Vi-
enna meridian survey (the Varaždin
Cathedraltower). 4. Financialreportfor2012
5. ReportoftheSupervisoryBoard
6. Workplanfor2013 8. AwardingCCSacknowledgments
9. Miscellaneous The chairmanship meetings had
been held four times in a year in ac-
cordancewiththeStatute. Arrangements
and
negotiations
with Croatian State Archive (CSA)
about keeping the SDI Days started on
December 15, 2011 with the idea of
keepingthejoint4thNSDIandINSPIRE
Day and the 8th Cartography and
Geoinformation Conference. The ne-
gotiations lasted until May 14, 2012
when the president of CCS was invited
to a meeting with the head of SGA, Dr. Danko Marinković. At that meeting it
was agreed that CCS and SGA will or-
ganize the conference together, in
September 2012. SDI Days was the five In 2012 two issues of our journal,
Cartography and Geoinformation, num-
bers 17 and 18, were published. To pre-
parethetextlayoutandtherelease,the
open source software Scribus was star-
ted to be used. The appearance of the
journal has been slightly altered in ac-
cordancetographicdesignerremarks. On March 5, 2012 there was a 500
year anniversary of birth of Gerard
Mercator, officially celebrated with a
symposium and an appropriate exhib-
itionattheFacultyofGeodesy. O A
il 18 2012 CCS
i d In 2012 two issues of our journal,
Cartography and Geoinformation, num-
bers 17 and 18, were published. To pre-
parethetextlayoutandtherelease,the
open source software Scribus was star-
ted to be used. The appearance of the
journal has been slightly altered in ac-
cordancetographicdesignerremarks. On March 5, 2012 there was a 500
year anniversary of birth of Gerard
Mercator, officially celebrated with a
symposium and an appropriate exhib-
itionattheFacultyofGeodesy. On April 18 2012, CCS organized a KiG No. 19, Vol. 12, 2013 KiG No. 19, Vol. 12, 2013
182 182 IZ DRUŠTAVA KiG Br. 19, Vol. 12, 2013 11.
godišnja skupština
Hrvatskoga kartografskog društva Za pripremu časopisa za prije-
lom teksta i za tisak prešlo se na slobo-
dan (open source) softver Scribus. Izgled
časopisa je malo promijenjen u skladu s
primjedbamagrafičkogdizajnera. Dana 9. 6. 2012. HKD je organizirao
stručni obilazak Zagreb–Varaždin–Borl
–Jeruzalem–Zagreb u povodu 250. go-
dišnjice izmjere Bečkog meridijana i
posjetu najstarijoj trigonometrijskoj
točkiuHrvatskoj.Nastručnomobilasku
sudjelovalo je 25 osoba. Taj bi stručni
obilazak trebao biti početni korak u nas-
tojanju da se završna točka izmjere Beč-
kog meridijana (toranj varaždinske Dana5.3.2012.svečanojeobilježena
500. godišnjica rođenja Gerarda Merca-
tora znanstvenim skupom i prigodnom
izložbomnaGeodetskomfakultetu. Dana 18. 4. 2012. HKD je organizirao
promociju monografije Topografske karte
na području Hrvatske u Hrvatskom dr-
žavnomarhivuuzsuradnjuDGU-a. Dana23.5.2012.usvečanojdvorani
Sveučilišta u Zadru, održana je svečana KiG Br. 19, Vol. 12, 2013 KiG Br. 19, Vol. 12, 2013 KiG Br. 19, Vol. 12, 2013
183 183 183 FROM PROFESSIONAL SOCIETIES a two-hour lecture New Cartographic
projection HTRS96/TM. In the name of
CCS he greeted the participants of the
Assembly at the ceremonial opening
and the special item of agenda was an
introductionofCCS. was invited to the Annual assembly of
Association of surveyors of Osijek-
Baranja County in Osijek, and in the
name of CCS he greeted the assembly
participantsattheceremonialopening. On October 10, 2012 we celebrated
the 11th birthday of CCS. On that occa-
sion, at the Faculty of Geodesy, Uni-
versityofZagreb,Prof.Dr.MarijanHerak
from the Geophysics Department of the
Faculty of Science, University of Zagreb
held a lecture Croatian Map of Earthquake
Risk–howdoesitstartandwhatnext? On December 18, 2012 the presid-
ent of CCS was invited to a festive re-
ception organized by Croatian Cham-
berofcharteredengineersofgeodesy. Especiallygoodnews:
On November 15, 2012 Aldo Šošić
defended the dissertation Kartografija
Istre s posebnim poudarkom na razvoju
kartografskega izražanja (Cartography of
Istria with special emphasis on carto-
graphic expression) at the Faculty of
Engineering and Geodesy, University of
Ljubljana. On October 16, 2012 the president,
in the name of the Faculty of Geodesy,
was awarded with the letter of thanks,
for successful cooperation with Croa-
tian Standards Institute on the occa-
sion of World Standards Day. This
cooperation was realized due to tem-
perature, wind and snow maps, made
thisyearbyMarinaRajaković,Miljenko
LapaineandDraženTutić. Boris Blagonić finished doctoral
studies at the Faculty of Geodesy, Uni-
versity of Zagreb on July 7, 2012 by de-
fending a doctoral thesis Katastar
vodova u lokalnoj infrastrukturi prostornih
podataka (Utility Cadastre in a Local
SpatialDataInfrastructure). days conference in Zagreb, at the In-
ternational Hotel. KiG No. 19, Vol. 12, 2013 11.
godišnja skupština
Hrvatskoga kartografskog društva The first two days
was the 2nd Regional INSPIRE Training
with participating only with an invita-
tion. On September 27, there was the
First Regional INSPIRATION Forum and
4th Croatian NSDI and INSPIRE Day, on
September 28 the 8th Cartography and
Geoinformation Conference and on
September 29 there was a tour to Hr-
vatskoZagorje. On October 19, 2012 the president
of CCS was invited to the 5th symposi-
um of Croatian chartered engineers of
geodesy, in Opatija, where he held a
keynote speech in the name of CCS at
theceremonialopening. Mario Mađer, on November 5, 2012
at the Faculty of Geodesy, University of
Zagreb defended a doctoral thesis Mod-
el povezivanja katastra sa srodnim upis-
nicima (A model for Linking Cadaster
withRelatedRegisters). On November 14, 2012 CCS marked
the World GIS Day organizing the con-
ference Cartography and Eurocodes held
in the Hall of the Faculty of Architec-
ture, Civil Engineering and Geodesy, in
Zagreb, Kačićeva 26. Co-organizers we-
re the Faculty of Geodesy, University of
Zagreb, Meteorological and Hydrolo-
gical Service, Croatian Meteorological
Society and Croatian Standards Insti-
tute. Five lectures were held after ope-
ning words and musical number on a
clarinetbyJosipMimica. Prof. Dr. Mithad Kozličić was elec-
ted a member of Academy of Science
and Arts of Bosnia and Herzegovina (a
member outside office – citizen of Bos-
niaandHerzegovinawholivesabroad). SDI Days included these events as
well: •
Announcement of Competition of
ideasofINSPIRATIONproject •
Visiting an exhibition Zagreb’s
special data infrastructure in Za-
grebForum At the end of his report the presid-
ent of CCS thanked for successful co-
operation the Secretary Martina Tri-
plat Horvat, MEng, web-page editor
Marina Rajaković, MEng, Irena Iveko-
vić, who has been an accountant for
many years (Irvi Ltd), the main editor
of the journal Cartography and Geoin-
formation Assist. Prof. Dr. Dražen Tutić
and Technical editor Ana Kuveždić Di-
vjak,MEng. •
Visiting the Collection of maps and
atlases in National and University
LibraryinZagreb On November 15, 2012 the presid-
ent was invited to participate at the
scientific convention Geography in Sci-
ence and Education, which took place at
the Antunović Hotel in Zagreb where
he greeted participants in the name of
CCSattheceremonialopening. •
GeneralassemblyofAGISEE •
GeneralassemblyofAGISEE At SDI Days there were 200 parti-
cipantsfrom15countries. On September 26, 2012 CCS ap-
peared at the Faculty of Geodesy Day
where it got a letter of thanks for suc-
cessful cooperation with the Faculty of
Geodesy,theUniversityofZagreb. OnNovember30,2012thepresident
was invited to participate at the Annual
assemblyoftheAssociationofsurveyors
of Istarska County in Novigrad. He held Total income in 2012 was 187.858,57
HRK and expenses 227.072,31 HRK
which means that in 2012 we operated
with a loss of 39.213,74 HRK. Account On October 5, 2012 the president KiG No. 19, Vol. 12, 2013 184 IZ DRUŠTAVA katedrale) obilježi spomenikom ili ba-
remspomenpločom. Dogovori i pregovori s Državnom
geodetskom upravom (DGU) o održa-
vanju Dana infrastrukture prostornih
podataka (Dani IPP-a / SDI Days) počeli
su 15. 12. 2011. s idejom o zajedničkom
održavanju 4. NIPP i INSPIRE dana i 8. savjetovanja kartografija i geoinforma-
cije. Pregovori su trajali do 14. 5. 2012. kada je predsjednik HKD-a pozvan na
sastanak s ravnateljem DGU-a, dr. sc. Dankom Markovinovićem. Na tom je
sastanku dogovoreno da će DGU i HKD
zajednički organizirati konferenciju u
rujnu 2012. U Zagrebu u hotelu Inter-
national održani su od 25. do 29. rujna
2012. Dani infrastrukture prostornih
podataka(SDIDays):prvadvadana2nd
Regional INSPIRE Training sa sudjelo-
vanjem samo po pozivu, zatim 27. 9. First Regional INSPIRATION Forum i
4th Croatian NSDI and INSPIRE Day, 28. 9. bila je 8th Cartography and Geoin-
formation Conference i 29. 9. stručni
obilazakHrvatskimzagorjem. društva. Tom je prigodom na Geodet-
skom fakultetu Sveučilišta u Zagrebu
održano predavanje prof. dr. sc. Mari-
jana Heraka s Geofizičkog odsjeka PMF-
a Sveučilišta u Zagrebu pod naslovom
Hrvatska karta potresne opasnosti – kako
nastajeikakodalje? i Hrvatski zavod za norme. Nakon poz-
dravnih riječi i glazbenih točaka u iz-
vođenju Josipa Mimice na klarinetu
održanojepetpredavanja. Dani IPP-a uključili su i ova događa-
nja: •
Najavu natječaja Nadmetanje ideja
projektaINSPIRATION Dana 15. 11. 2012. predsjednik je po
pozivu sudjelovao na znanstvenom
skupu Geografija u sustavu znanosti i od-
gojno-obrazovnom sustavu, održanom u
hotelu Antunović u Zagrebu i u ime
HKD-a pozdravio učesnike na sveča-
nomotvaranju. •
Posjet izložbi Zagrebačka infrastru-
ktura prostornih podataka u Zagreb
Forumu Dana 16. 10. 2012. predsjednik je
primio u ime Geodetskog fakulteta Za-
hvalnicu za uspješnu suradnju s Hrvat-
skim zavodom za norme u povodu
Svjetskoga dana norma. KiG Br. 19, Vol. 12, 2013 •
GeneralassemblyofAGISEE Ta je suradnja
ostvarena na kartama temperatura,
vjetra i snijega što su ih ove godine iz-
radili Marina Rajaković, Miljenko La-
paineiDraženTutić. •
Posjet Zbirci karata i atlasa Nacio-
nalne i sveučilišne knjižnice u Za-
grebu Dana 30. 11. 2012. predsjednik je po
pozivu sudjelovao na Godišnjoj skup-
štini Udruge geodeta Istarske županije
u Novigradu. Održao je dvosatno pre-
davanje Nova kartografska projekcija
HTRS96/TM.UimeHKD-apozdravioje
učesnike skupštine na svečanom otva-
ranju, a u posebnoj točki dnevnoga re-
dabilojepredstavljanjeHKD-a. •
GeneralnuskupštinuAGISEE-ja. Na Danima IPP-a bilo je 200 učesni-
kaiz15zemalja. Dana 19. 10. 2012. predsjednik HKD-
a bio je pozvan na 5. simpozij ovlašte-
nih inženjera geodezije, u Opatiju, gdje
je u ime HKD-a na svečanom otvaranju
održaopozdravnigovor. Dana26.9.2012.HKDjenastupiona
Danu Geodetskog fakulteta, tom prigo-
dom HKD je dobio Zahvalnicu za us-
pješnu suradnju s Geodetskim fakul-
tetomSveučilištauZagrebu. Dana 18. 12. 2012. predsjednik HKD-
a bio je pozvan na svečani domjenak u
organizacijiHKOIG-a. Dana 5. 10. 2012. predsjednik je po
pozivu sudjelovao na Godišnjoj skup-
štiniUdrugegeodetaOsječko-baranjske
županije u Osijeku, i u ime HKD-a poz-
dravioučesnikeskupštinenasvečanom
otvaranju. Dana 14. 11. 2012. HKD je obilježio
Svjetski dan GIS-a znanstveno-struč-
nim skupom Kartografija i eurokodovi
održanim u Vijećnici AGG fakulteta, u
Zagrebu, Kačićeva 26. Suorganizatori
su bili Geodetski fakultet Sveučilišta u
Zagrebu, Državni hidrometeorološki
zavod, Hrvatsko meteorološko društvo EuropeanGeodesyandGeoinformation
DayonMarch22,2013 5. To intensify the sending of the jou-
rnal to more important libraries and
anexchangewithrelatedjournals. EuropeanGeodesyandGeoinformation
DayonMarch22,2013 3. To broaden the circle of people and
institutions which financially back
uptheworkoftheSociety Marking of European Geodesy and
Geoinformation Day was arranged at
the meeting held on March 22, 2013 at
SGA. The organizers were SGA, the Fac-
ulty of Geodesy and Croatian Chamber
of chartered engineers of geodesy. CCS
participated with two pages in a pub-
licationwhichwillbeissued. 6. To start publishing the News every
threemonths 4. To attract more young people and
students 4. To attract more young people and
students 7. To design an award for young carto-
graphers, nominate honorary mem-
bersandplanlettersofthanks. TheCCSmembershipmeetings
l TheCCSmembershipmeetings 8. To establish a co-operation with the
journalists and to inform about the
Society’sactivitiesontime. 1. To organize expert lectures once a
month 2. Toorganizeanexcursiononceayear 2. Toorganizeanexcursiononceayear CartographyandArtonApril15,2013
On the proposal and the initiative
of the CCS president, the Faculty of Ge-
odesy and the Academy of Fine Arts,
University of Zagreb together with the
Department of Geography, University
of Zadar are preparing a symposium
under a name Cartography and Art. Sym-
posiumwillbeheldonApril15,2013on
a birthday of famous Leonardo da Vinci
who was a versatile scientist and artist,
andlessknownasacartographer.Atthe
same time in the Gallery on the first 9. To expand the international co-op-
eration with the aim of promoting
the Society in international com-
munity(ICA,EUROGI,AGISEEetc.) Promotion 1. To constantly modernize web-pages
oftheSociety The Assembly has accepted the fol-
lowingworkplanfor2013: The Assembly has accepted the fol-
lowingworkplanfor2013: 2. To refresh an e-list of members and
periodicallysendnotifications Membershipandfinance 3. To involve secondary schools of geo-
desyandtherelatedsocieties 1. Toorderlyconductthemembership
recordsandmembershipfees 4. To publish the journal Cartography
andGeoinformationregularly 2. To take care of the contracts with
institutionswhichhelptheSociety Legislation 1. To take part in activities at making
and passing the legislation for the
field of cartography and geoinfor-
mation RegulationsonCCSAwards incartography
3. ToparticipateatSciencefestivals 4. To organize lectures and workshops
forallages 5. To involve secondary schools of geo-
desy Posebnodobrevijesti: AldoSošićobranioje15.11.2012.na
Fakultetu za građevinarstvo i geodeziju
Sveučilišta u Ljubljani disertaciju Kar-
tografija Istre s posebnim poudarkom na Dana 10. 10. 2012. proslavili smo 11. rođendan Hrvatskoga kartografskog KiG Br. 19, Vol. 12, 2013
185 185 FROM PROFESSIONAL SOCIETIES status on December 31, 2012 was
206.779,0 HRK. Therefore CCS was not
economicallysuccessfulintheprevious
year. The main reason was a drastic re-
ductioninhelpgivenbySGAforthelast
17 years and a lack of financial help by
the Ministry of Science, Education and
Sport which has not been asked for
since the deadlines to apply ended due
to prolonged negotiations with SGA. Financial state of CCS is not alarming
sincewesuccessfullyoperatedprevious
years but it is obvious that we cannot
expectfurtherhelpfromSGAexceptin
co-financing the journal based on the
contractfromDecember2011. RegulationsonCCSAwards
At the last presidency session of
CCS the proposal of the Regulations on
CCS Awards was discussed. Accord-
ingly, the award would be given to a
personundertheageof35whomadea
noticeable personal scientific or expert
progress or accomplished contribution
tothecartography.Afterthediscussion
it was concluded that CCS could assign
3 awards: to a student, to a senior per-
son or an institution and for the best
map. That proposition will be further
developed and proposed for its adop-
tionatnextGeneralAssembly. incartography
3 ToparticipateatSciencefestivals Projects Projects 1. To propose scientific-technical pro-
jects which will improve Croatian
cartography (e.g. The future of to-
pographiccartography) 1. To propose scientific-technical pro-
jects which will improve Croatian
cartography (e.g. The future of to-
pographiccartography) 2. To propose an instalment of SGA’s
co-financing the making of national
reports for the International Carto-
graphicAssociation. Furtherco-operationwithSGA
At the meeting held on November
7, 2012 the president gave the Director
ofSGAamemoinwhichSGAisaskedto
help financially by paying the annual
membership in ICA, the participation
at conventions in Vienna, Helsinki and
Dresden and the organization of the
9th conference of Cartography and
Geoinformation. The response has not
arrived until today therefore we can
conclude that SGA does not intend to
helpanyplannedactivityofCCS. 3. To suggest reviewing and establish-
ing the quality of cartographic and
geoinformation products to the ap-
propriateinstitutions. Dr. Dubravka Mlinarić, the Head of
Supervisory Board, reported that CCS
acted in accordance with the Society
Act, Society Statute and it worked ma-
terially and financially valid. The Su-
pervisory Board report was accepted
unanimously. Članstvoifinanciranje Članstvoifinanciranje SusretičlanovaDruštva SusretičlanovaDruštva SusretičlanovaDruštva 3. Predložiti odgovarajućim instituci-
jama recenziranje i utvrđivanje
kvalitete njihovih kartografskih i
geoinformacijskihproizvoda. 1. U pravilu jednom mjesečno organi-
ziratistručnapredavanja. 2. Jednomnagodinuorganiziratiizlet. Zakonodavstvo Promidžba Projekti 1. Voditi uredno evidenciju članstva i
plaćanjačlanarine 1. Predložiti znanstveno-stručne pro-
jekte kojima bi se unaprijedila hr-
vatska kartografija (npr. Budućnost
topografskekartografije). 2. Voditi brigu o ugovorima s instituci-
jamakojepomažuradDruštva 3. Proširiti krug osoba i institucija koje
financijskipodupiruradDruštva 2. Državnoj geodetskoj upravi predlo-
žiti nastavak sufinanciranja izrade
nacionalnih izvještaja za Međuna-
rodnokartografskodruštvo. 4. Privućivišemladihosobaistudenata Conferences 1. To continue with organizing con-
ferences on cartography, geoinfor-
mationandtheirinfrastructure. Education 1. To actively participate in promoting
knowledge and skills in cartography
ateverylevelofeducation 2. The preparations can start a year in
advance. 2. To organize a competition for the
best children’s drawing on a theme 3. To persist on the international level
andco-operation. KiG No. 19, Vol. 12, 2013 186 IZ DRUŠTAVA IZ DRUŠTAVA Izvještaj Nadzornog odbora je prihva-
ćenjednoglasno. 2. Organizirati natječaj za najbolje dje-
čjecrteženakartografsketeme. razvoju kartografskega izražanja (Karto-
grafija Istre s posebnim naglaskom na
kartografskoizražavanje). Boris Blagonić završio je doktorski
studij na Geodetskom fakultetu Sve-
učilišta u Zagrebu 13. 7. 2012. obranom
doktorskog rada pod naslovom Katastar
vodova u lokalnoj infrastrukturi prostornih
podataka. Mario Mađer obranio je 5. studeno-
ga 2012. na Geodetskom fakultetu Sve-
učilištauZagrebudoktorskudisertaciju
Model povezivanja katastra sa srodnim
upisnicima. Prof.dr.sc.MithadKozličić,izabran
je za člana ANU BiH ("član van radnog
sastava" – državljanin BiH koji živi u
inostranstvu/inozemstvu). Na kraju svojeg izvještaja predsjed-
nik HKD-a zahvalio je na uspješnoj su-
radnji tajnici Martini Triplat Horvat,
dipl. ing., urednici web-stranica Marini
Rajaković, dipl. ing., gospođi Ireni Ive-
ković koja već više godina vodi računo-
vodstvo (Irvi d.o.o.), glavnom uredniku
časopisa Kartografija i geoinformacije
doc. dr. sc. Draženu Tutiću i tehničkoj
uredniciAniKuveždićDivjak,dipl.ing. 2. Organizirati natječaj za najbolje dje-
čjecrteženakartografsketeme. 2. Organizirati natječaj za najbolje dje-
čjecrteženakartografsketeme. 2. Organizirati natječaj za najbolje dje-
čjecrteženakartografsketeme. Izvještaj Nadzornog odbora je prihva-
ćenjednoglasno. Izvještaj Nadzornog odbora je prihva-
ćenjednoglasno. 3. SudjelovatinaFestivalimaznanosti. Skupština je prihvatila sljedeći plan
radaza2013.godinu: Skupština je prihvatila sljedeći plan
radaza2013.godinu: 4. Organizirati predavanja i radionice
zasveuzraste. Ukupni prihodi u 2012. godini iz-
nosili su 187.858,57 kn, a rashodi
227.072,31 kn. Znači da smo u 2012. poslovali s gubitkom od 39.213,74 kn. Stanje računa na dan 31. prosinca 2012. bilo je 206.779,0 kn. Odatle slijedi da
HKD nije uspješno poslovao u prethod-
noj godini. Osnovni razlog tome je
drastično smanjenje pomoći koju je u
proteklih 17 godina pružao DGU i u iz-
ostanku financijske pomoći MZOŠ-a
koja nije ni zatražena jer su zbog oteza-
nja pregovora s DGU-om prošli rokovi
za prijavu na natječaj. Financijsko sta-
nje HKD-a nije alarmantno jer smo
prethodnih godina uspješno poslovali,
ali je očito da se do daljnjega od DGU vi-
še ne može očekivati pomoć, osim sufi-
nanciranjačasopisanatemeljuugovora
izprosinca2011.godine. 5. Uključitisrednjegeodetskeškole. 5. Uključitisrednjegeodetskeškole. Promidžba 1. Uključiti se u aktivnosti pri izradi i
donošenju zakonske regulative za
područje kartografije i geoinforma-
cija. 1. Stalno osuvremenjivati web-strani-
ceDruštva. Dr. sc. Dubravka Mlinarić, pred-
sjednicaNadzornogodborapodnijelaje
izvještaj u kojem navodi da je Društvo
djelovalo u skladu sa Zakonom o udru-
gama, Statutom Društva te da je mate-
rijalno i financijski poslovalo uredno. 2. Osuvremeniti e-popis članova i po-
vremenoslatiobavijesti. Obrazovanje Obrazovanje 3. Uključiti srednje geodetske škole i
srodnadruštva. 1. Aktivno sudjelovati na promicanju
kartografskih znanja i vještina na
svimrazinamaobrazovanja. 4. Redovito izdavati časopis Kartogra-
fijaigeoinformacije KiG Br. 19, Vol. 12, 2013 187 FROM PROFESSIONAL SOCIETIES floor of the Faculty of Geodesy there
will be an exhibition of Vlado Martek
called kARTe mARTek. In co-operation
with the Academy of Fine Arts, Univer-
sity of Zagreb there will be an art work-
shop for primary school children as
well. Pupils and students, inspired by
maps, will paint imaginary parts on
Earth,maybeevenknownones,butina
waytheywanttoseethem. floor of the Faculty of Geodesy there
will be an exhibition of Vlado Martek
called kARTe mARTek. In co-operation
with the Academy of Fine Arts, Univer-
sity of Zagreb there will be an art work-
shop for primary school children as
well. Pupils and students, inspired by
maps, will paint imaginary parts on
Earth,maybeevenknownones,butina
waytheywanttoseethem. It is planned in Zadar in co-operati-
on with the Department for Geography,
UniversityofZadar. All preparatory activities have been
doneontime.32institutionsresponded
with the overall of 171 works. The jury
Assist. Prof. Dr. I. Kljajić, Assoc. Prof. Ines
Krasić, Prof. Dr. Miljenko Lapaine, Igor
Čabraja and Ana Kuveždić Divjak, chose
six drawings for the exhibition in Dre-
sden. Furthermore, CCS will especially
commend another 10 drawings which
enteredtheshortlist. The proposed work plan for 2013
wasunanimouslyadopted. Theassemblyunanimouslyadopted
a proposition to award Assist. Prof. Dr. IvkaKljajićwiththeletterofthanksfrom
CCS for perennial successful organizati-
on and management of best children’s
drawing competition that represented
Croatia at international exhibitions for
BarbaraPetchenikaward. The public has been called to parti-
cipateattheinternationalexhibitionof
maps by an e-mail address and a web-
pageofCCS.Detailedpropositionshave
been given together with the invitati-
on. The deadline is March 23, 2013. The
finalselectionofcartographicworksfor
this international exhibition will be
made by the Presidency of CCS on Mar-
ch27,2013. ICC2013,Dresden,August25to30,2013
There have been ten abstracts/arti-
cles sent from Croatia. Reviewers were,
amongst others D. Tutić and M. Lapaine. The Committee for Map Projections of
ICAwillholdasessiononAugust24,2013
from 5 pm to 7 pm in the lecture hall at
TU Dresden, Bergstraße 64, 01069 Dre-
sden.Everyoneisinvited! Promidžba Theassemblyunanimouslyadopted
a proposition to award Ana Kuveždić
Divjak, MEng with the letter of thanks
fromCCSforperennialeffortandagreat
dedication in making and promoting a
visual identity of CCS, especially for tec-
hnical editing of the journal Cartograp-
hyandGeoinformation. A. Kuveždić Divjak and I. Kljajić are
creditable for the selection and exhibi-
tion of children’s drawings from Croatia. WorldGISDayand9thCartography
and Geoinformation Conference, No-
vember20to22,2013 MartinaTriplatHorvat MartinaTriplatHorvat Kartografijaiumjetnost15.4.2013. Na prijedlog i inicijativu predsjedni-
ka Hrvatsko kartografsko društvo, Ge-
odetski fakultet i Akademija likovnih
umjetnosti Sveučilišta u Zagrebu zajed-
nosOdjelomzageografijuSveučilištau
Zadru pripremaju simpozij pod naslo-
vom Kartografija i umjetnost. Simpozij će
se održati 15. travnja 2013. na rođendan
slavnoga Leonarda da Vincija koji je bio
svestraniznanstvenikiumjetnik,amalo
je poznato da je bio i kartograf. Istodob-
nouGalerijina1.katubitćepostavljena
izložba slika Vlade Marteka pod naslo-
vom kARTe mARTek. Istodobno, a u su-
radnji s Akademijom likovnih umjetno-
stiSveučilištauZagrebu(ALU)održatće
se likovna radionica s učenicima osnov-
ne škole. Učenici i studenti inspirirani
kartamaoslikatćezamišljenekrajevena
Zemlji, a možda i one poznate, ali onako
kakobiihoniželjelividjeti. 1. Nastaviti s organiziranjem konfe-
rencija o kartografiji, geoinformaci-
jamainjihovojinfrastrukturi. 2. Pripreme početi godinu dana una-
prijed. SvjetskidanGIS-ai9.savjetovanjeKarto-
grafijaigeoinformacije20–22.11.2013. 3. Ustrajati na međunarodnoj razini i
suradnji. PlaniranojeuZadruusuorganizaciji
s Geografskim odjelom Sveučilišta u Za-
dru. Daneuropskegeodezijeigeoinformacija
22.3.2013. 8. Uspostaviti suradnju s novinarima i
pravodobno informirati javnost o
aktivnostima Društva preko svih
medija. Nasastankuodržanom22.1.2013.u
DGU-u dogovoreno je obilježavanje
Dana europske geodezije i geoinforma-
cija. Organizatori su DGU, Geodetski fa-
kultet i HKOIG. HKD sudjeluje s dvije
stranice u publikaciji koja će se izdati
timpovodom. 9. Proširiti međunarodnu suradnju s
ciljem promoviranja Društva u me-
đunarodnoj zajednici (ICA, EUROGI,
AGISEEidr.). Poziv za sudjelovanje na međuna-
rodnojizložbikarataupućenjejavnosti
putem e-adresa i web-stranica HKD-a. Uz poziv su dane i detaljne propozicije. Rok za prijavu je 23. 3. 2013. Konačni iz-
bor kartografskih djela za tu međuna-
rodnu izložbu obavit će Predsjedništvo
HKD-a27.3.2013. Savjetovanja PravilnikonagradamaHKD-a Na posljednjoj sjednici Predsjed-
ništva HKD-a razmatrao se prijedlog
Pravilnika o nagradama HKD-a. Prema
tom prijedlogu nagrada bi se dodijelila
osobi mlađoj od 35 godina koja je os-
tvarila zamjetan osobni znanstveni ili
stručni napredak ili postigla zapaženi
doprinos kartografiji. Nakon rasprave
zaključeno je da HKD može dodijeliti 3
nagrade: jednu studentu, drugu "stari-
joj"osobiiliinstitucijiitrećunagraduza
najbolju kartu. Taj će se prijedlog dalje
razraditi i na sljedećoj skupštini pred-
ložitizausvajanje. Predloženi plan rada za 2013. godi-
nuusvojenjejednoglasno. Skupština je jednoglasno prihvatila
prijedlog da se doc. dr. sc. Ivki Kljajić
dodijeli Zahvalnica HKD-a za višego-
dišnje vrlo uspješno organiziranje i vo-
đenje natječaja za najbolje dječje crteže
koji su predstavljali Hrvatsku na među-
narodnim izložbama za nagradu Bar-
barePetchenik. Skupština je jednoglasno prihvatila
prijedlog da se Ani Kuveždić Divjak,
dipl. ing. geod. dodijeli Zahvalnica HKD-
azavišegodišnjitrudivelikupredanost
na izradi i promicanju vizualnog iden-
titeta Hrvatskoga kartografskog druš-
tva, a posebno za tehničko uređivanje
časopisaKartografijaigeoinformacije. IZ DRUŠTAVA KiG Br. 19, Vol. 12, 2013 IZ DRUŠTAVA 5. Pojačati slanje časopisa u važnije
knjižnice i razmjenu sa srodnim ča-
sopisima. 5. Pojačati slanje časopisa u važnije
knjižnice i razmjenu sa srodnim ča-
sopisima. Helsinkiju i Dresdenu te organiziranje 9. savjetovanja Kartografija i geoinforma-
cije. Do danas odgovor nije stigao pa mo-
žemo zaključiti da DGU ne namjerava
pomagatiplaniraneaktivnostiHKD-a. Za izbor i izložbu dječjih crteža iz
Hrvatske posebno su zaslužne A. Kuve-
ždić Divjak i I. Kljajić. Sve pripremne
aktivnosti obavljene su na vrijeme. Na
poziv su se odazvale 32 ustanove s
ukupno 171 radom. Žiri u sastavu doc. dr.sc.I.Kljajić,prof.InesKrasić,prof.dr. sc. Miljenko Lapaine, Igor Čabraja i Ana
Kuveždić Divjak izabrao je za izložbu u
Dresdenu šest dječjih radova. Osim to-
ga, HKD će posebno pohvaliti još 10
dječjihcrtežakojisuušliuužiizbor. 6. Pokrenuti izdavanje Novosti svaka
trimjeseca. 6. Pokrenuti izdavanje Novosti svaka
trimjeseca. 7. Osmisliti nagradu mladim karto-
grafima, nominirati počasne člano-
ve,planiratizahvalnice. Daneuropskegeodezijeigeoinformacija
22.3.2013. ICC2013,Dresden,25–30.8.2013. Iz Hrvatske je poslano 10 sažeta-
ka/članaka. Recenzenti su, između os-
talih, bili D. Tutić i M. Lapaine. Povje-
renstvo za kartografske projekcije ICA-e
održat će u Dresdenu sjednicu 24. 8. 2013. od 17 do 19 sati u predavaonici na
TU Dresden, Bergstraße 64, 01069 Dre-
sden.Svisudobrodošli! DaljnjasuradnjasDržavnomgeodetskom
upravom DaljnjasuradnjasDržavnomgeodetskom
upravom Na sastanku održanom 7. 11. 2012. predsjednik je predao ravnatelju DGU-a
dopis u kojem moli da DGU financijski
pomogne plaćanje godišnje članarine u
ICA-i, sudjelovanje na skupovima u Beču, MartinaTriplatHorvat KiG Br. 19, Vol. 12, 2013 189
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English
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Emulsifying Activity and Stability of a Non-Toxic Bioemulsifier Synthesized by Microbacterium sp. MC3B-10
|
International journal of molecular sciences
| 2,013
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cc-by
| 6,550
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Printed Edition of the Special Issue Published in IJMS
Biofilms: Extracellular Bastions of Bacteria
Edited by
Alan W. Decho Alan W. Decho (Ed.) 1. Edition 2014 MDPI • Basel • Beijing Biofilms: Extracellular Bastions of Bacteria This book is a reprint of the special issue that appeared in the online open access journal
International Journal of Molecular Sciences (ISSN 1422-0067) in 2013 (available at:
http://www.mdpi.com/journal/ijms/special_issues/extracellular-bastions-of-bacteria). Guest Editor
Alan W. Decho
Department of Environmental Health Sciences
Arnold School of Public Health, University of South Carolina
Columbia, SC. 29208
USA Guest Editor
Alan W. Decho
Department of Environmental Health Sciences
Arnold School of Public Health, University of South Carolina
Columbia, SC. 29208
USA Editorial Office
MDPI AG
Klybeckstrasse 64
Basel, Switzerland 1. Edition 2014
MDPI • Basel • Beijing Juan Carlos Camacho-Chab, Jean Guézennec, Manuel Jesús Chan-Bacab, Elvira Ríos-Leal,
Corinne Sinquin, Raquel Muñiz-Salazar, Susana del C. De la Rosa-García,
Manuela Reyes-Estebanez and Benjamín Otto Ortega-Morales Abstract: A previously reported bacterial bioemulsifier, here termed microbactan, was further
analyzed to characterize its lipid component, molecular weight, ionic character and toxicity, along with
its bioemulsifying potential for hydrophobic substrates at a range of temperatures, salinities and pH
values. Analyses showed that microbactan is a high molecular weight (700 kDa), non-ionic molecule. Gas chromatography of the lipid fraction revealed the presence of palmitic, stearic, and oleic acids;
thus microbactan may be considered a glycolipoprotein. Microbactan emulsified aromatic hydrocarbons
and oils to various extents; the highest emulsification index was recorded against motor oil (96%). The stability of the microbactan-motor oil emulsion model reached its highest level (94%) at 50 °C,
pH 10 and 3.5% NaCl content. It was not toxic to Artemia salina nauplii. Microbactan is, therefore,
a non-toxic and non-ionic bioemulsifier of high molecular weight with affinity for a range of oily
substrates. Comparative phylogenetic assessment of the 16S rDNA gene of Microbacterium sp. MC3B-10 with genes derived from other marine Microbacterium species suggested that this genus is
well represented in coastal zones. The chemical nature and stability of the bioemulsifier suggest its
potential application in bioremediation of marine environments and in cosmetics. Reprinted from Int. J. Mol. Sci. Cite as: Camacho-Chab, J.C.; Guézennec, J.; Chan-Bacab, M.J.;
Ríos-Leal, E.; Sinquin, C.; Muñiz-Salazar, R.; del C. De la Rosa-García, S.; Reyes-Estebanez, M.;
Ortega-Morales, B.O. Emulsifying Activity and Stability of a Non-Toxic Bioemulsifier
Synthesized by Microbacterium sp. MC3B-10. Int. J. Mol. Sci. 2013, 14, 18959-18972. Reprinted from Int. J. Mol. Sci. Cite as: Camacho-Chab, J.C.; Guézennec, J.; Chan-Bacab, M.J.;
Ríos-Leal, E.; Sinquin, C.; Muñiz-Salazar, R.; del C. De la Rosa-García, S.; Reyes-Estebanez, M.;
Ortega-Morales, B.O. Emulsifying Activity and Stability of a Non-Toxic Bioemulsifier
Synthesized by Microbacterium sp. MC3B-10. Int. J. Mol. Sci. 2013, 14, 18959-18972. ISBN 978-3-906980-95-9 © 2014 by the authors; licensee MDPI, Basel, Switzerland. All articles in this volume are
Open Access distributed under the Creative Commons Attribution 3.0 license
(http://creativecommons.org/licenses/by/3.0/), which allows users to download, copy and
build upon published articles even for commercial purposes, as long as the author and
publisher are properly credited, which ensures maximum dissemination and a wider impact of
our publications. However, the dissemination and distribution of copies of this book as a
whole is restricted to MDPI, Basel, Switzerland. © 2014 by the authors; licensee MDPI, Basel, Switzerland. All articles in this volume are
Open Access distributed under the Creative Commons Attribution 3.0 license
(http://creativecommons.org/licenses/by/3.0/), which allows users to download, copy and
build upon published articles even for commercial purposes, as long as the author and
publisher are properly credited, which ensures maximum dissemination and a wider impact of
our publications. However, the dissemination and distribution of copies of this book as a
whole is restricted to MDPI, Basel, Switzerland. 217 Reprinted from Int. J. Mol. Sci. Cite as: Camacho-Chab, J.C.; Guézennec, J.; Chan-Bacab, M.J.;
Ríos-Leal, E.; Sinquin, C.; Muñiz-Salazar, R.; del C. De la Rosa-García, S.; Reyes-Estebanez, M.;
Ortega-Morales, B.O. Emulsifying Activity and Stability of a Non-Toxic Bioemulsifier
Synthesized by Microbacterium sp. MC3B-10. Int. J. Mol. Sci. 2013, 14, 18959-18972. 3. Biotechnological Aspects
Emulsifying Activity and Stability of a Non-Toxic Bioemulsifier
Synthesized by Microbacterium sp. MC3B-10 Juan Carlos Camacho-Chab, Jean Guézennec, Manuel Jesús Chan-Bacab, Elvira Río
Corinne Sinquin, Raquel Muñiz-Salazar, Susana del C. De la Rosa-García,
Manuela Reyes-Estebanez and Benjamín Otto Ortega-Morales 1. Introduction Microorganisms produce a wide variety of high and low molecular weight biosurfactants. These active molecules include proteins, polysaccharides, lipopeptides, glycolipids, flavolipids,
phospholipids and lipopolysaccharides [1]. High molecular weight biosurfactants, usually referred to as
bioemulsifiers, can form and stabilize oil-in-water or water-in-oil emulsions, work at low concentrations
and exhibit considerable substrate specificity [2]. The chemical diversity and functional properties of
these compounds result in a broad spectrum of potential applications in sectors as diverse as agriculture,
cosmetics, environmental, food, leather, paper, pharmaceutical and textile industries [2,3]. Biologically derived surface-active molecules have advantages over their synthetic counterparts, 218 including biodegradability, lower toxicity, novel structural chemistry and high stability at extreme
temperature, salinity and pH [2,4]. Some bioemulsifiers, e.g., emulsan [5], have been extensively
characterized and reached commercial applications, chiefly in the bioremediation sector. Bioprospection of various habitats, in particular marine environments [6,7], has yielded many novel
biomolecules produced by microorganisms. An earlier report showed that the extracellular biopolymer
produced by Microbacterium sp. MC3B-10 emulsified hexane, decane and hexadecane at higher
efficiencies than commercial surfactants Triton® X-100 and Tween® 80 [8]. This extracellular
biopolymer will be referred to as microbactan after its bacterial producer. The goal of the present study
was to characterize in greater detail this extracellular biopolymer and determine the emulsifying
stability as a function of key variables. 2.1. Characterization of Microbactan Microbactan was produced by fermentation in shaker flasks; no attempt was made at this time to
optimize its production using a bioreactor, where more strict control of variables can be achieved. The reproducibility of production conditions employed in this study was confirmed by the yield and
the primary chemical profile of the biopolymer, which was comparable to the previous report [8]. Our previous work showed that microbactan was dominated by carbohydrates and proteins, and was
preliminarily considered a glycoprotein. The present study also revealed the presence of lipids, shown by
the peak at 2927 cmí1 in the FT-IR analysis, which represents the asymmetric stretch (C–H) of –CH2
groups combined with that of –CH3 groups in lipids [9]. Quantitative assessment by absorbance
showed that the lipid signature detected by FT-IR corresponded to a lipid content of 8% ± 0.5%. The gas chromatograph analysis of the lipid fraction revealed the presence of palmitic (C-16), stearic
(C-18) and oleic (C-18:1) acids. Other fatty acids, found at lower levels, were myristoleic (C-14:1) and
linoleic (C-18:2). The lipid content and the previously reported chemical composition of ~90%
carbohydrates and proteins [8] represented almost 100% of the total mass of the microbactan on a dry
weight basis, suggesting that this biopolymer is a class of glycolipoprotein. The fatty acids detected
(palmitic, stearic and oleic) have been reported in bioemulsifiers produced by Yarrowia lipolytica [10]
and Penicillium sp. [11]. However, the presence of other substituents of extracellular biopolymers such
as pyruvil, succinyl and sulfates, which often occur at minor levels [4,9], was not investigated. High performance size exclusion chromatography showed that microbactan had a molecular weight
(MW) approaching 700 kDa and a polydispersity index (Mw/number average molecular weight) of 1.3;
a value close to 1 denotes a polymer with homogeneous monomer grouping. These results indicate that
microbactan is a homogeneous high molecular weight glycolipoprotein, a finding that is consistent with
previous reports showing that, in general, bioemulsifiers are high molecular weight polymers [1,12]. The commercial bioemulsifier alasan® has a molecular weight of approximately 1000 kDa [13]. Most bacterial bioemulsifiers are polymers of either carbohydrates or proteins, or even 219 glycoproteins [1,6]. Thavasi and colleagues report marine-derived glycolipoprotein emulsifiers from
Corynebacterium kutcheri and Bacillus megaterium [14,15]. The putative glycolipoprotein nature of
microbactan is, therefore, to some extent unusual among marine bioemulsifiers. Microbactan was shown by the modified double diffusion test to be a non-ionic emulsifier. 2.1. Characterization of Microbactan The ionic character of polymers is one of the features that contribute strongly to the functional
properties of emulsifiers; this property is often reported for synthetic emulsifiers or novel emulsifying
formulations used for a range of applications. Despite the importance of this feature, it is rarely
reported in newly discovered bioemulsifiers. The non-ionic nature of emulsifiers greatly contributes to
emulsion stability, generating a number of short-range repulsive forces, such as steric, hydration, and
thermal fluctuation interactions, which prevent the droplets from getting too close together [16]. a Results are expressed as percentages of the total height occupied by the emulsion; values are means of at least
three determinations. a Results are expressed as percentages of the total height occupied by the emulsion; values are means of at le
three determinations lts are expressed as percentages of the total height occupied by the emulsion; values are means of at least 2.2. Emulsifying Potential Tables 1 and 2 show the emulsifying activity of microbactan and control commercial emulsifiers
tested against different substrates at different times. Statistical analysis showed significant differences
between microbactan and these controls (F = 84.24; p < 0.05). Synthetic surfactants Triton® X-100 and
Tween® 80 were more efficient than microbactan and the commercial biopolymers, reaching
emulsification efficiencies of 100% against oils (with the exception of motor oil), irrespective of time
of incubation (24 and 96 h). Microbactan showed stronger emulsifying activities than gum arabic
but was comparable to the emulsifying efficiency of xanthan gum, another bacterially-produced
biopolymer. The emulsifying activity of microbactan was dependent on the type of substrate
(F = 16.2; p < 0.05); this is consistent with other reports on substrate-specific hydrocarbon metabolism
by marine bacteria [17,18]. Microbactan emulsions with the tested substrates were rather stable over
time (Tables 1 and 2), varying only slightly between 24 and 96 h. Table 1. Emulsifying activity of microbactan, commercial synthetic surfactants and natural
biopolymer emulsifiers on various hydrophobic substrates after 24 h of evaluation. Table 1. Emulsifying activity of microbactan, commercial synthetic surfactants and n
biopolymer emulsifiers on various hydrophobic substrates after 24 h of evaluation. Hydrophobic substrate
Microbactan a
Synthetic surfactants a
Biopolymers a
Tween 80
Triton-X-100
Gum arabic
Xanthan gum
Benzene
76.9 ± 2.4
98.7 ± 0.6
54.3 ± 2.0
80.7 ± 3.0
64.7 ± 1.3
Xylene
81.5 ± 3.4
94.7 ± 6.1
98.2 ± 0.4
72.6 ± 3.4
76.8 ± 1.7
Crude oil
76.5 ± 2.1
82.9 ± 0.6
100
54.7 ± 3.7
95.0 ± 0.9
Motor oil
96.3 ± 0.1
54.9 ± 1.4
68.5 ± 6
95.2 ± 1.1
89.5 ± 3.3
Sunflower oil
84.4 ± 5.4
100
100
77.8 ± 1.5
62.4 ± 2.4
Corn oil
81.1 ± 1.6
100
100
0
90.6 ± 1.9
Olive oil
76.1 ± 0.3
100
100
96.6 ± 0.1
76.6 ± 5.4
Mineral oil
0
95.9 ± 5.6
100
60.3 ± 2.8
86.5 ± 3.8
a Results are expressed as percentages of the total height occupied by the emulsion; values are means of at least 220 Table 2. Emulsifying activity of microbactan, commercial synthetic surfactants and natural
biopolymer emulsifiers on various hydrophobic substrates after 96 h of evaluation. 2.2. Emulsifying Potential Hydrophobic substrate
Microbactan a
Synthetic surfactants a
Biopolymers a
Tween 80
Triton-X-100
Gum arabic
Xanthan gum
Benzene
75.3 ± 3.8
93.2 ± 5
54.3 ± 2.1
78.9 ± 0
61.7 ± 1.4
Xylene
75.4 ± 0.5
94.1 ± 5
97.9 ± 0.5
63.7 ± 3
75 ± 1.6
Crude oil
72 ± 4.8
85.5 ± 5
100 ± 0
53.2 ± 2.4
93.8 ± 2.5
Motor oil
96.3 ± 0.1
53.5 ± 2.3
59 ± 4.2
92.8 ± 1.8
83.7 ± 3.2
Sunflower oil
83.8 ± 3.4
100
100
77.8 ± 2.1
62.4 ± 2.4
Corn oil
81.1 ± 1.6
100
100
0
91.5 ± 0.8
Olive oil
76.1 ± 0.5
100
100
96.6 ± 0.6
78.2 ± 2.6
Mineral oil
0
91.2 ± 2.3
100 ± 0
56.8 ± 2.3
82.9 ± 2
a Results are expressed as percentages of the total height occupied by the emulsion; values are means of at least
three determinations. a Results are expressed as percentages of the total height occupied by the emulsion; values are means of at least
three determinations. An established criterion for emulsion-stabilizing capacity is the ability of an emulsifier to maintain
at least 50% of the original volume of the emulsion for 24 h [4,19]. Microbactan emulsions remained
stable for several months, showing no sign of droplet coalescence after standing at room temperature
(28 °C). This extended stability has previously been observed for glycoprotein bioemulsifiers produced
by a marine Antarctobacter [20]. Emulsifying and surfactant activities are together responsible for
important functional properties of bacterial exopolymers. Our analyses revealed that microbactan has
emulsifying but not surfactant activity. Surface-active biomolecules are classified as surfactants when
they lower the interfacial or surface tension and emulsifiers when they form stable emulsions [19,21]. Overall, our results indicate that microbactan is a true bioemulsifier. 2.3. Effect of Temperature, pH and NaCl on Emulsifying Activity The effect of these three key variables that influence emulsifying activity was assessed at 24, 48, 72
and 96 h. As expected, they influenced the emulsifying activity of microbactan, but their effects
occurred at different levels. A time-dependent decrease of emulsifying activity was observed at 100 °C
(F = 38.13; p < 0.005). This was not the case for activities at 50 °C and 5 °C. The highest level of
activity was found at 50 °C (emulsifying activity of 95.7% ± 2.5%) irrespective of time of incubation
(Figure 1). The loss of emulsifying activity at 100 °C can be explained by denaturation of the protein
fraction of microbactan during heating [22], as seen with other microbial biosurfactants [23]. Similarly,
the activity associated with the upper limit of the range of salinities tested (3.5%, 5%, and 10%)
declined as a function of time to level off at 72 and 96 h. The highest levels of activity were observed
at 3.5% (Figure 2), not dissimilar to the biosurfactant produced by Aeromonas spp., which maintained
emulsifying activity up to 5% NaCl [24]. On the other hand, no significant effect on activity was
observed as a function of time with the pH values tested (Figure 3). However, slightly higher levels of
emulsifying activity were recorded at acid and alkaline pH values, suggesting the ionization of 221 functional groups that resulted in the activation of less surface-active species within the bioemulsifier
matrix [25]. In comparison, biodispersan from Acinetobacter calcoaceticus A2 had an optimum
functional pH value in the range of 9 to 12 for limestone-dispersing activity [26]. It has been shown
that the emulsifying activity of certain polymers is modified at different extents when temperature and
pH covariate, this is probably due to the synergistic influence of these factors on surface-active
proteins, whose conformation and functional groups are influenced as a function of these factors. Figure 1. Emulsifying activity of microbactan on motor oil at different temperatures up to
96 h. 5 °C (Ɣ), 50 °C (Ŷ) and 100 °C (Ÿ). Values represent means ± SD (n = 3). Figure 2. Emulsifying activity of microemulsan on motor oil at various salinities up to 96 h. 3.5% (Ɣ), 5% (Ŷ) and 10% (Ÿ) NaCl concentration. Values represent means ± SD (n = 3). Figure 1. Emulsifying activity of microbactan on motor oil at different temperatures up to
96 h. 2.3. Effect of Temperature, pH and NaCl on Emulsifying Activity 5 °C (Ɣ), 50 °C (Ŷ) and 100 °C (Ÿ). Values represent means ± SD (n = 3). Figure 1. Emulsifying activity of microbactan on motor oil at different temperatures up to
96 h. 5 °C (Ɣ), 50 °C (Ŷ) and 100 °C (Ÿ). Values represent means ± SD (n = 3). Figure 1. Emulsifying activity of microbactan on motor oil at different temperatures up
96 h. 5 °C (Ɣ), 50 °C (Ŷ) and 100 °C (Ÿ). Values represent means ± SD (n = 3). Figure 2. Emulsifying activity of microemulsan on motor oil at various salinities up to 96 h. 3.5% (Ɣ), 5% (Ŷ) and 10% (Ÿ) NaCl concentration. Values represent means ± SD (n = 3). 222 Figure 3. Emulsifying activity of microbactan on motor oil at different pH values. pH 4 (Ɣ), pH 7 (Ŷ) and pH 10 (Ÿ).Values represent means ± SD (n = 3). These results suggest that microbactan could find application in environmental marine processe
uch as enhanced oil recovery, cleaning of oil reservoirs and enhancement of biodegradation rates o
pilled oils [2]. Bioemulsifiers have a wide diversity of composition and structure and are
haracterized by improved functionality and stability. Their potential applications include: the oil and
petroleum industries, water and soil bioremediation, metal treatment and processing, detergents and
aundry supplies, agriculture, textile manufacturing, pulp and paper processing, paints, cosmetics
pharmaceuticals, personal care products and food processing [4,6]. Microbactan has higher emulsifying Figure 3. Emulsifying activity of microbactan on motor oil at different pH values. pH 4 (Ɣ), pH 7 (Ŷ) and pH 10 (Ÿ).Values represent means ± SD (n = 3). Figure 3. Emulsifying activity of microbactan on motor oil at different pH values. pH 4 (Ɣ), pH 7 (Ŷ) and pH 10 (Ÿ).Values represent means ± SD (n = 3). h
l
h
i
b
ld fi d
li
i
i
i
l
i These results suggest that microbactan could find application in environmental marine processes
such as enhanced oil recovery, cleaning of oil reservoirs and enhancement of biodegradation rates of
spilled oils [2]. Bioemulsifiers have a wide diversity of composition and structure and are
characterized by improved functionality and stability. Their potential applications include: the oil and
petroleum industries, water and soil bioremediation, metal treatment and processing, detergents and
laundry supplies, agriculture, textile manufacturing, pulp and paper processing, paints, cosmetics,
pharmaceuticals, personal care products and food processing [4,6]. 2.3. Effect of Temperature, pH and NaCl on Emulsifying Activity Microbactan has higher emulsifying
activity at 50 °C and 3.5% NaCl, conditions typical of intertidal environments [8]. If the molecule
remains stable under these conditions for long periods, it may prove specifically useful for
bioremediation of polluted intertidal habitats [27]. The stability of the emulsions under diverse
conditions, such as temperature, pressure, pH and ionic strength, makes this biopolymer a versatile
emulsifier for use in many food and pharmaceutical formulations. 2.4. Toxicity of Microbactan Based solely on the Artemia salina toxicity test, microbactan proved innocuous, as expected for
a biologically derived surface-active agent; this class of compound is generally biodegradable and
non-toxic [2]. Although synthetic surfactants exhibited the highest emulsifying activity in this study,
Triton® X-100 (also a non-ionic surface-active), at least, proved to be toxic in our Artemia bioassay
(Table 3). Polyoxyethylene octyl phenols (the Triton X series) are known to be highly cytotoxic,
solubilizing the membrane lipid bilayer [28]. In fact, these synthetic surfactants can actually inhibit
aromatic hydrocarbon biodegradation via toxic interactions, making them less suitable for bioremediation
purposes [27,29]. The Artemia salina toxicity bioassay is a reliable primary screen, given the
sensitivity of this crustacean to a wide range of biologically active compounds of diverse chemistries,
including pesticide residues, mycotoxins, stream pollutants, anaesthetics, dinoflagellate toxins, 223 morphine-like compounds and oil dispersants [30]. In addition, this bioassay has demonstrated good
correlation with other cell-based tests such as tumor cell lines (e.g., KB, P-388, 388, L5178Y and
L1210) and mammalian systems [31,32]. Reinforcing this finding, an experimental study on marine
biofilm colonization on surfaces coated with microbactan showed that this biopolymer did not affect
biofilm formation (unpublished results). Table 3. Anti-crustacean activity of surfactants against Artemia salina nauplii. Table 3. Anti-crustacean activity of surfactants against Artemia salina nauplii. Surfactant
LC50 (μg/mL)
Microbactan
>1000
Triton X-100
100.3 ± 3.8
Tween 80
>1000
2.5. Phylogenetic Reassessment of Microbacterium sp. MC3B-10 2.5. Phylogenetic Reassessment of Microbacterium sp. MC3B-10 The reassessment of the phylogenetic position of Microbacterium sp. MC3B-10 based on its 16S
rDNA gene, using a more robust bioinformatics approach, confirmed that its closest relative was
Microbacterium trichothecenolyticum, with a similarity of 99.2% (underline, Figure 4). Stackebrandt
and Ebers [33] established that a cutoff of 98.7% 16S rDNA gene homology is appropriate for species
differentiation within a genus. Following this criterion and given the fact that Microbacterium is a very
tight genus with respect to 16S rDNA gene homology between valid species [34], Microbacterium sp. MC3B-10 could be classified as M. trichothecenolyticum. However, definitive identification of this
bacterial isolate requires a polyphasic approach including biochemical, physiological, chemotaxonomic,
and nucleic acid-based methods, along with a range of microscopies, as previously shown for newly
described Microbacterium species [35]. 2.4. Toxicity of Microbactan The in-silica analysis revealed novel strains of the genus Microbacterium (MC24 and MC60) that
had been isolated from an intertidal environment in Brazil and were capable of synthesizing
bioemulsifiers [36]. These isolates were also related to Microbacterium sp. MC3B-10, but at lower
similarity levels (97%). It should be noted that, except for M. resistens, M. hominis, and M. paraoxydans,
all microbacteria are considered environmental bacteria [34]. Certain Microbacterium species, such as
M. thalassium, M. halophilum, and M. phyllosphaerae, occur in coastal habitats [35,37]. However, the
biotechnological potential of this genus as a marine bioemulsifier producer has only been reported
recently [8,36]. The occurrence of bioemulsifier-producing Microbacterium species in intertidal
environments is not surprising, given the metabolic versatility exhibited by this genus; some of them
can metabolize hydrocarbons, presumably through bioemulsifier synthesis [38,39]. In addition, the
availability of hydrophobic substrates in coastal marine environments may select for bacteria capable
of synthesizing surface-active molecules to enhance nutrient uptake [1]. 224 Figure 4. Neighbor-joining phylogenetic tree, based on 16S rDNA gene sequences,
showing the positions of strain MC3B-10 (AY833570) relative to all known Microbacterium
species. Accession numbers of 16S rDNA gene sequences of reference organisms are
shown in parentheses. Bootstrap values (1000 replicates, >50%) are shown above the
nodes. The bar indicates the relative sequence divergence (0.01 nucleotide substitutions per
site). Curtobacterium luteum and C. michiganense were used as outgroups. M. sp. MC3B 10 (AY833570)
M. trichothecenolyticum (AB167383)
M. ketosireducens IFO 14548 (AB004724)
M. terrae IFO 15300 (AB004720)
M. sp. Mc24 (DQ512484)
M. sp. Mc60 (DQ512485)
M. kitamiense kitami (AB013919)
M. laevaniformans IFO 14471T (D21344)
M. dextranolyticum IFO 14592T (D21341)
M. aquimaris JS63 1 (AM778450)
M. aquimaris JS54 2 (AM778449)
M. resistens AGP4 3 (AY277553)
M. nematophilum CBX102 (AF319539)
M.arabinogalactanolyticum DSM8611 Y17228
M. terregens IFO 12961 (AB004721)
M. koreense JS53 5 (AY962575)
M. schleiferi DSM 20489 (Y17237)
M. sp. 1 (DQ512483)
M. oleivorans DSM 16091 (AJ698725)
M. lacticum IFO 14135T (D21343)
M. aurum IFO 15204T (D21340)
M. keratanolyticum IFO13309 (AB004717)
M. phyllosphaerae DSM 13468 (AJ277840)
M. phyllosphaerae SAFR 012 (AY167852)
M. aerolatum V 73 (AJ309929)
M. hydrocarbonoxydans DSM16089T AJ698726
M. paraoxydans C57 33 (AJ581908)
M. luteolum DSM 20143 (Y17235)
M. maritypicum DSM 12512 (AJ853910)
M. oxydans CV71a (AJ717358)
M. oxydans AC94 (AJ717356)
M. oxydans S15 M5 (AM234159)
M. sp. ZD M2 (DQ417926)
M. sp. JYC17 (EU036699)
M. sp. F10a (EU196564)
M. ulmi (AY062021)
M. arborescens IFO 3750 (AB007421)
M. 3.3. High Performance Size Exclusion Chromatography The molecular weight of microbactan was determined using an HPLC system Prominence
Shimadzu™, a PL aquagel-OH mixed, 8 μm (Varian) guard column (U 7.5 mm × L50 mm), and a PL
aquagel-OH mixed (Varian, Palo Alto, CA, USA) separation column (U 7.5 × 300 mm, operating
range 102–107 g/mol). Elution was performed at 1 mL/min with 0.1 M ammonium acetate containing
0.03% NaN3, and the eluate filtered through a 0.1 μm membrane (Durapore Membrane, PVDF,
Hydrophilic type VVLP, Millipore®, Saint Quentin en Yvelines, France). A differential refractive
index (RI) detector (L2490, VWR Hitachi, Fontenay sous bois, France) and a multi-angle light
scattering detector (Dawn Heleos™, Wyatt, Toulouse, France) were coupled on-line and data
computed with Astra software for absolute molar mass determination. 3.1. Production of Microbactan Microbacterium sp. MC3B-10 was originally isolated from pristine rocky intertidal shores in the
state of Campeche, southern Gulf of Mexico, Mexico. Microbactan was produced following a batch
shake flask fermentation of an overnight culture (50 mL) of Microbacterium sp. MC3B-10 as
previously reported [8]. The exopolymeric material was extracted from the fermented broth,
redissolved in a small volume of distilled water and then dialyzed (molecular weight cutoff
12,000–14,000 Da, Spectrum®, CA, USA) for 72 h. The resulting material was lyophilized and kept in
the dark before analysis. 2.4. Toxicity of Microbactan imperiale IFO 12610T (D21342)
A. globiformis (M23411)
C. luteum DSM 20542 (X77437)
C. michiganensis DSM 46364 (X77435)
99
99
99
99
99
99
98
97
96
54
93
83
82
71
92
90
82
81
76
65
55
52
99
57
225 3.2. Lipid Analysis and Fatty Acid Composition Lipids were determined using Fourier-transform infrared spectroscopy (FT-IR) [8] and
spectrophotometry, using triolein as standard lipid [40]. Fatty acid composition was investigated as
follows. After mild acid hydrolysis of the exopolymer (0.7064 g) at 80 °C for 30 min, the hydrolysate
was extracted with CHCl3:CH3OH:H2O (3:2:1) and the aqueous phase extracted two more times with
CHCl3 (1:1). The CHCl3 fractions were combined and evaporated under reduced pressure [41]. Before
GC-MS analysis, the sample was pre-treated as described previously [42]. The methylation of fatty
acids was carried out with 5 mL of HCl-methanol at 80 °C for 30 min. The fatty acid methyl ethers
were extracted with hexane and subjected to analysis. GC-MS was performed using helium as carrier
gas on a Perkin Elmer Clarus 580 GC equipped with a Clarus SQ 8S mass spectrometer, equipped with
an Elite-5 capillary column (30 m × 0.32 mm i.d., 0.25 μm film thickness). 3.6. Effects of Temperature, Salinity and pH on Emulsifying Activity The effect of temperature, NaCl content and pH on emulsifying activity of microbactan was tested
using motor oil because this substrate yielded the highest levels of emulsification (~96%). The influence of temperature was determined by pretreating at desired temperatures (5, 50 and 100 °C)
microbactan solutions that were either heated for 15 min in a water bath or cooled for 10 min in
a freezer, before being assayed [23]. The effect of NaCl was investigated at three concentrations (3.5, 5
and 10% w/v) and pH values of 4, 7 and 10 were studied. Emulsification with motor oil was carried out
at room temperature as in Item 3.5 [22,24]. 3.4. Ionic Charge The ionic charge of microbactan was assessed using a modified double diffusion technique [43]. Briefly, two 12 mm-diameter plugs were taken from Petri dishes containing 1% agar. One of the 226 resulting wells was filled with 200 μL of microbactan solution at 1 mg/mL and the other with
commercial anionic (sodium dodecyl sulphate SDS and Teepol® 610S Sigma-Aldrich Química, S. de
R.L. de C.V., Toluca, Mexico State, Mexico) or cationic (barium chloride and cetyltrimethylammonium
bromide) surfactants supplied by Sigma-Aldrich. These surfactants were used at 20 mmol, except for
barium chloride (50 mmol). The appearance of precipitation lines between the wells was indicative of
the ionic character of microbactan. Plates were incubated at 28 °C and monitored daily. 3.5. Emulsifying Activity The emulsifying activity of microbactan was assessed against aromatic hydrocarbons (benzene
and xylene), vegetable oils (corn, olive and sunflower) and mineral, motor and crude oils, all at 1%. Oils were acquired from local commercial suppliers and the hydrocarbons were of analytical grade
(J.T. Baker, Center Valley, PA, USA; E.M. Sciences, Hatfield, PA, USA). The emulsifying activity
was measured by combining equal volumes of microbactan solution (1% w/v) and the target
hydrophobic substrates in 12-mm-diameter glass tubes, as previously described [8]. Controls included
Triton® X-100 and Tween® 80 (Research Organics, Cleveland, OH, USA), a plant-derived polysaccharide
(gum arabic from Spectrum®) and xanthan gum, a bacterial polysaccharide (ICN Biomedicals, Inc,
Irvine, CA, USA). All evaluations were performed in triplicate. 3.6. Effects of Temperature, Salinity and pH on Emulsifying Activity 3.9. Phylogenetic Reassessment The purpose of this analysis was twofold: first, to corroborate the identification of the species of
Microbacterium MC3B-10 based on its 16S rDNA gene (AY833570) using a more robust
bioinformatics approach (see details below) with the sequences reported in [8], and second to prove if
recently reported species of Microbacterium displaying bioemulsifying activity or originally isolated
from polluted environments were phylogenetically close to Microbacterium sp. MC3B-10. The following additional sequences were obtained from the GenBank database, Microbacterium sp. Mc1 DQ512483, Mc24 DQ512484, Mc60 DQ512485, M. aquimaris JS54-2 AM778449, M. aquimaris
JS63-1 AM778450, Microbacterium sp. F10a EU196564, M. oleivorans DSM 16091 AJ698726 and
M. sp. ZD-M2 DQ417926. In total, 41 sequences (1418 bp) were aligned using the CLUSTALW
algorithm implemented in MEGA 4.3 software [46]. Phylogenetic analyses were performed using
the Neighbor Joining (NJ) algorithm: phylogenetic analysis using parsimony V4.0 beta 10, 2002. For NJ analyses, the evolutionary model selected was the GTR + I + G (General Time Reversible
Model + Invariable sites + Gamma distribution) inferred from the program Modeltest V.3.06 [47]. Support for nodes of the NJ tree was determined by calculating bootstrap proportion values [48] based
on 1000 resamplings of neighbor-joining searches. The 16S rDNA sequences of Curtobacterium luteum
and C. michiganense were used as outgroup. 3.8. Statistical Analysis All the experiments were run in triplicate. For the emulsification assays, a two-way analysis of
variance (ANOVA) was used to assess the effect of biopolymer and controls on the hydrophobic
substrates. When there was a significant difference (p 0.05) between microemulsion and controls,
we applied the Tukey test aposteriori. These tests were performed with Sigma Stat software
version 2.0 (1997). 3.7. Toxicity Test Brine shrimp eggs (Salt Creek™, Salt Lake City, UT, USA) were hatched at 27 °C under
continuous aeration and illumination in seawater prepared with sea salts (Coralife®, Rhinelander, WI,
USA) at 38 g/L and supplemented with 6 mg/L of dried yeast [44]. Solutions of Triton® X-100 and
Tween® 80 (Research Organics, Cleveland, OH, USA) and microbactan were dissolved in seawater at
concentrations of 1000, 500, 100, 50 and 10 μg/mL [45]. The 50% Lethal Concentration (LC50) was
determined by counting the dead nauplii after an incubation period of 24 h. Data were analyzed with
the Finney computer program as described previously [27]. 227 4. Conclusions This study demonstrated that the novel Microbacterium sp. MC3B-10, probably indigenous to the
marine intertidal zone, synthesizes an environmentally-friendly exopolymeric non-ionic glycolipoprotein
capable of emulsifying aromatic hydrocarbons and oils. The functional stability of this bioemulsifier
was retained for long periods of time and at a range of temperature, NaCl concentration and pH. The chemistry, activity and stability of microbactan make it useful for environmental and personal care
applications. Overall, our results suggest that bioemulsifier-producing bacteria warrant intensified
bioprospection in the intertidal zones. Additionally, this study corroborates the still untapped resource
represented by marine microorganisms for new biosurfactants, bioemulsifiers and biopolymers. This work thus strengthens the notion that marine microbial diversity is a non-exhausted source of
novel biomolecules and particularly emphasizes the biotechnological significance of Microbacterium
species derived from the intertidal environment. 228 Acknowledgments This research was supported by a grant Marine biofilm inhibition by bacterial exopolymeric
substance-based coatings and characterization of producing isolates (F/3617-2F) 2008-2011, from the
International Foundation for Science (IFS) F/3617-1, Stockholm, Sweden; Organization for the
Prohibition of Chemical Weapons, The Hague, The Netherlands. Conflicts of Interest The authors declare no conflict of interest. The authors declare no conflict of interest. References E.; Rosenberg, E. Natural roles of biosurfactants. Environ. Microbiol. 2001, 3, 229–236. 1. Ron, E.; Rosenberg, E. Natural roles of biosurfactants. Environ. Microbiol. 2001, 2. Banat, I.M.; Franzetti, A.; Gandolfi, I.; Bestetti, G.; Martinotti, M.; Fracchia, L.; Smyth, T.;
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Microbacterium hydrocarbonoxydans sp. nov., novel crude-oil-degrading Gram-positive bacteria. Int. J. Syst. Evol. Microbiol. 2005, 55, 655–660. 39. Franzetti, A.; Gandolfi, I.; Bertolini, V.; Raimondi, C.; Piscitello, M.; Papacchini, M.; Bestetti, G. Phylogenetic characterization of bioemulsifier-producing bacteria. Int. Biodeterior. Biodegrad. 2011, 65, 1095–1099. 40. Izard, J.; Limberger, R. Rapid screening method for quantification of bacterial cell lipids from
whole cells. J. Microbiol. Meth. 2003, 55, 411–418. 231 41. Ganfield, M.C.; Pieringer, R.A. Phosphatidylkojibiosyl diglyceride. The covalently linked lipid
constituent of the membrane lipoteichoic acid from Streptococcus faecalis (faecium) ATCC 9790. J. Biol. Chem. 1975, 250, 702–709. 42. Rezanka T.; Vokoun, J.; Slavicek, J.; Podojil, M. Determination of fatty acids in algae by
capillary gas chromatography-mass spectrometry. J. Chromatogr. References 1983, 268, 71–78. 43. Van Oss, C.J. Specifically impermeable precipitate membranes formed through double diffusion
in gels: Behavior with complex forming and with simple systems. J. Colloid Interf. Sci. 1968, 27,
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Artemia salina (brine shrimp). Planta Med. 1993, 59, 250–252. 46. Tamura, K.; Dudley, J.; Nei, M.; Kumar, S. MEGA4: Molecular Evolutionary Genetics Analysis
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1998, 14, 817–818. 48. Felsenstein, J. Confidence limits on phylogenies: An approach using the bootstrap. Evolution
1985, 39, 783–791.
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AMPLIANDO AS FRONTEIRAS DO PET FILOSOFIA-UFPI
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Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness
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How to cite R. K. Naren Shankar and N. Dilip Raja (2020) Novel
Characteristics of Subsonic Coflowing Jets With Varying Lip
Thickness. J Aerosp Technol Manag, 18: e2520 https://doi. org/10.5028/jatm.v12.1122 R. K. Naren Shankar and N. Dilip Raja (2020) Novel
Characteristics of Subsonic Coflowing Jets With Varying Lip
Thickness. J Aerosp Technol Manag, 18: e2520 https://doi. org/10.5028/jatm.v12.1122 R. K. Naren Shankar
https://orcid.org/0000-0002-3363-4478
N. Dilip Raja
https://orcid.org/0000-0001-9825-6503 ABSTRACT: Effect of Mach number on coflowing jet at lip thickness of 0.2 Dp, 1.0 Dp and 1.5 Dp (where Dp is primary nozzle
exit diameter, 10 mm) at Mach numbers 1.0, 0.8 and 0.6 were studied experimentally. It was found that an increase in Mach
number does not have any profound effect on axial total and static pressure variation for 0.2 Dp. Decreasing the mean diameter
is due to the geometrical constraints. In this study, the primary nozzle dimension and secondary duct is maintained constant
for comparison. For the case of 0.2 Dp, static pressure is almost equal to atmospheric pressure for all Mach numbers. Whereas for other two lip thickness, increase in Mach number marginally influences axial total pressure and profoundly varies
static pressure. It is noted that it varies considerably up to 11.1% in the axial direction and up to 17% in the radial direction
for Mach number 1.0. For lower Mach numbers, such variation is not observed. Increase in Mach number increases static
pressure variation in the coflowing jet flow field with lip thickness 1.0 Dp and 1.5 Dp. KEYWORDS: Coflowing jet; Lip thickness; Static pressure; Subsonic jet; Mixing enhancement; Mixing inhibition. WORDS: Coflowing jet; Lip thickness; Static pressure; Subsonic jet; Mixing enhancement; Mixing inhibition 1 1 1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology –Department of Aeronautical Engineering – Chennai/Tamil Nadu – India
2. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology –Department of Mechanical Engineering – Chennai/Tamil Nadu – India.
*Corresponding author: ndilipraja@veltech.edu.in
Received: 23 Sep 2019 | Accepted: 17 Dec 2019
Section Editor: T. John Tharakan J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 1
https://doi.org/10.5028/jatm.v12.1122 1
https://doi.org/10.5028/jatm.v12.1122 Novel Characteristics of Subsonic
Coflowing Jets With Varying Lip Thickness Naren Shankar Radha Krishnan1, Dilip Raja Narayana2,* INTRODUCTION Mixing in coflowing jet (CFJ) suppresses noise and reduces infrared (IR) signature in commercial aircraft turbofan engines. To reduce IR signature, jet potential core volume and surface area should be reduced. Modification of coflowing nozzle can alter
mixing in CFJ (Zaman and Papamoschou 2000; Papamoschou 2000; Shupe 2007). Such modifications do not require additional
power source and that are called as passive control in CFJ. Some of the factors that are associated with CFJ include: lip thickness (LT), wake dominance, angular jet and mixing
enhancement. Lip thickness (LP) is the distance separating primary nozzle and secondary duct. For low subsonic jets, it is well
proven that increase in lip thickness enhances mixing because of wake dominance (Buresti et al. 1994). Figure 1 shows the sketch of the coflowing jet profile. It reveals various regions within the jet recirculation zone become
dominant under the influence of lip thickness and bypass ratio. Wake dominance creates a recirculation zone that deflects the
secondary jet towards primary jet. This increases interaction between the jets and enhances mixing. For high subsonic jets,
only few researchers have performed the effect of lip thickness with varying Mach number. When coflow exist at an angle
to the horizontal with respect to CFJ, it is called angular coflow. The secondary jets in CFJ that flow at an inclination to the
primary jets are called as angular jet. Papamoschou (2000) studied the effect of secondary jet on primary jet on high subsonic and supersonic Mach numbers mixing
enhances with high velocity secondary jet, particularly supersonic. A similar work with coannular nozzle was reported by Zaman J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Shankar RKN, Raja ND Shankar RKN, Raja ND and Papamoschou (2000). The mixing enhanced in the surrounding jet around exit Mach number of 0.8 to 1.2, irrespective of the
operating conditions of the central jet. A scaled down version of typical turbo fan exhaust has been studied with varying secondary
nozzle area (Shupe et al. 2007). They made secondary nozzle as converging-diverging and varied the secondary nozzle exit area to
the throat area ratio from 1.0 to 1.6. Centerline velocity survey was taken for exit Mach number 0.6 to 1.0 in the primary jet. INTRODUCTION It was
concluded that the effect of varying Mach number of the primary jet is relatively minor, whereas core of primary jet is practically
eliminated for the secondary nozzle area ratio above 1.4. Lip Thickness
Secondary Duct
Primary Nozzle
Initial
Merging
Zone
Fully
Merging
Zone
Intermediate
Merging
Zone
Recirculation
Zone
Inner Potential Core
Outer Potential Core
Figure 1. Profile of coflowing jet with finite lip thickness (Shankar 2017). Inner Potential Core Recirculation
Zone Outer Potential Core Secondary Duct Intermediate
Merging
Zone Fully
Merging
Zone Initial
Merging
Zone Figure 1. Profile of coflowing jet with finite lip thickness (Shankar 2017). In all the above cases the primary nozzle lip thickness was maintained as 0.7 mm and mixing enhancement is achieved
only by varying the secondary jet Mach number. Lovaraju and Rathakrishnan (2011) studied the effect of Mach number in
CFJ below sonic, correctly expanded sonic and under expanded sonic up to nozzle pressure ratio (NPR) (nozzle exit pressure
against back pressure) of NPR 7. They concluded that mixing inhibits with upsurge in primary jet Mach number. At this
stage it is worth noting that, increase in LT from 0.7 to 2.65 mm influences the mixing behavior of CFJ. The potential core
length of primary jet elongates in the presence of secondary jet. Srinivasarao et al. (2013) analyzed CFJ from orifices with
lip thickness 1.5 and 4.5 mm. CFJ with 4.5 mm lip enhanced mixing and the effect of Mach number is found marginal. Similar study on CFJ nozzles with LT 3 and 15 mm was performed for a constant Mach number of 0.6 and NPR 7. But they
did not study the effect of varying Mach number in such finite range of lip thicknesses. Few studies were performed by
(Shankar et al. 2016; 2017; 2018; 2019; Thanigaiarasu et al. 2018) on the effect of bypass ratio and lip thickness on CFJ. But specific emphasis was not given for the effect of increasing Mach number in CFJ on range of lip thickness. The present
study caters the gap in literature. The current work studies the effect of Mach number on characteristics of typical coflowing
jet that has varying lip thickness. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 EXPERIMENTAL Experiments were carried out at the High-speed Jet Laboratory, KCG College of Technology, Chennai, India. In this current
study, the primary and the secondary jets have a single feed system and hence the Mach number of the secondary jet is not
controlled. Due to friction, the secondary jet encounters losses that are tabulated in Table 1. In all the cases of the present study, exit dimensions for primary and secondary jet are maintained constant. The exit
diameter primary nozzle (Dp) is 10 mm and the width of secondary duct is 5 mm. Three LTs of 2 mm (0.2 Dp), 10 mm
(1.0 Dp) and 15 mm (1.5 Dp) were analyzed for primary jet exit Mach numbers 0.6, 0.8 and 1.0 with NPR 1.28, 1.52 and
1.89 respectively. The designs of coflowing nozzles are shown in Figs. 2, 3 and 4. Free jet facility is used to carry out the
experiments as shown in Fig. 5. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness
3 Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness Table 1. Experimental conditions at CFJ Nozzle exit. CFJ
Pos/Pop
(%)
P0p
(atm)
P0s
(atm)
Mp
Ms
Percentage loss in secondary jet
(%)
LT 0.2 Dp
90.0
1.276
1.248
0.6
0.57
2.2
90.0
1.524
1.472
0.8
0.76
3.4
90.0
1.893
1.804
1.0
0.95
4.7
LT 1.0 Dp
82.5
1.276
1.227
0.6
0.55
3.8
84.3
1.524
1.442
0.8
0.74
5.4
86.0
1.893
1.768
1.0
0.94
6.6
LT 1.5 Dp
42.1
1.276
1.162
0.6
0.40
13.8
54.0
1.524
1.283
0.8
0.61
14.7
72.2
1.893
1.645
1.0
0.87
15.5
Compressed air can start to expand and spread out through the primary nozzle and secondary duct passage as soon as it is
relieved from the settling chamber. Pressure survey is made using a traverse mechanism mounted with pitot-static tube. Total as
well as static pressures along the axial and radial directions of the CFJ were recorded. Table 1. Experimental conditions at CFJ Nozzle exit. Compressed air can start to expand and spread out through the primary nozzle and secondary duct passage as soon as it is
relieved from the settling chamber. Pressure survey is made using a traverse mechanism mounted with pitot-static tube. Total as
well as static pressures along the axial and radial directions of the CFJ were recorded. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Shankar RKN, Raja ND
4 4 4 Section view A-A
Scale: 3:4
Front view
Scale: 3:4
A
10
A
ϕ10
ϕ40
ϕ50
ϕ60
ϕ97
60
5
5
15
10
5
5
5
5
Rear view
Figure 4. CFJ model with LT 1.5 Dp. Pressure Regulating
Valve
Dry Air From
Reservoirs
Wire-Mesh Screens
Settling Chamber
Temperature Port
Pressure Port
Model Holder
Figure 5. Open jet facility. Section view A-A
Scale: 3:4
Front view
Scale: 3:4
A
10
A
ϕ10
ϕ40
ϕ50
ϕ60
ϕ97
60
5
5
15
10
5
5
5
5
Rear view
Figure 4. CFJ model with LT 1.5 Dp. Section view A-A
Scale: 3:4
Front view
Scale: 3:4
A
10
A
ϕ10
ϕ40
ϕ50
ϕ60
ϕ97
60
5
5
15
10
5
5
5
5
Rear view
Figure 4. CFJ model with LT 1.5 Dp. Front view Front view
Scale: 3:4
A Rear view Section view A-A
Scale: 3:4 10 5 Figure 4. CFJ model with LT 1.5 Dp. Pressure Regulating
Valve
Dry Air From
Reservoirs
Wire-Mesh Screens
Settling Chamber
Temperature Port
Pressure Port
Model Holder
Figure 5. Open jet facility. Pressure Regulating
Valve
Dry Air From
Reservoirs
Wire-Mesh Screens
Settling Chamber
Temperature Port
Pressure Port
Model Holder
Figure 5. Open jet facility. Pressure Regulating
Valve Temperature Port Model Holder Temperature Port M Settling Chamber Dry Air From
Reservoirs Wire-Mesh Screens Pressure Port Figure 5. Open jet facility. Figure 5. Open jet facility. In the present investigation, the Reynolds numbers of the jet streams coming out of the nozzle are 0.14 × 106, 0.186 × 106, and
0.233 × 106, respectively for the primary jet exit Mach numbers 0.6, 0.8, and 1.0 in the present investigation. Hence, there is not
much effect on the Reynolds numbers of the jet by varying lip thickness. Stagnation probe is placed on the axis facing the flow
direction to measure the total pressure. Four static probes of 1 mm diameter each were positioned along the stagnation point
to measure the static pressure. Separate static pressure runs were conducted close to the nozzle to observe the effect of sharper
gradients and locations of pitot pressure data were correlated (Zaman 2007). Figure 6 shows the image of the probe used to measure the static and total pressures. The probe used in this research had an
internal diameter of 0.4 mm and a thickness of 0.1 mm. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 EXPERIMENTAL Compressed air can start to expand and spread out through the primary nozzle and secondary duct passage as soon as it is
relieved from the settling chamber. Pressure survey is made using a traverse mechanism mounted with pitot-static tube. Total as
well as static pressures along the axial and radial directions of the CFJ were recorded. 5
5
5
Rear view Section view A-A
Front view
A
10
A
ϕ10
ϕ14
ϕ34
ϕ52
ϕ92
60
2
5
5
5
5
5
Rear view
Figure 2. CFJ model with LT 0.2 Dp. Section view A-A
Scale: 3:4
Front view
Scale: 3:4
A
10
A
ϕ30
ϕ40
ϕ50
ϕ97
60
5
10
10
5
5
5
LT
5
Rear view
Dp
Figure 3. CFJ model with LT 1.0 Dp. Section view A-A
Front view
A
10
A
ϕ10
ϕ14
ϕ34
ϕ52
ϕ92
60
2
5
5
5
5
5
Rear view
Figure 2. CFJ model with LT 0.2 D . Front view Rear view Section view A-A 5
5
5
5
5
ar view 5 Figure 2. CFJ model with LT 0.2 Dp. Section view A-A
Scale: 3:4
Front view
Scale: 3:4
A
10
A
ϕ30
ϕ40
ϕ50
ϕ97
60
5
10
10
5
5
5
LT
5
Rear view
Dp
Figure 3. CFJ model with LT 1.0 Dp. Figure 2. CFJ model with LT 0.2 Dp. Figure 2. CFJ model with LT 0.2 Dp. Front view
Scale: 3:4
A Section view A-A
Scale: 3:4 Dp Rear view 10 LT Figure 3. CFJ model with LT 1.0 Dp. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Shankar RKN, Raja ND CENTERLINE TOTAL PRESSURE VARIATION Centerline total pressure decay of the primary jet is an authentic measure to quantify the regions of CFJ (Rathakrishnan
2010). Potential core length (PCL) is the axial extent within which stagnation pressure at nozzle exit prevails. The total pressure
was plotted along the jet axis, at intervals of 1 mm, up to 20 Dp. The jet centerline total pressure decay quantifies jet mixing. This indicates the mixing of primary and secondary jets and combined jet with ambient air. To study the jet spread caused by
the CFJ, the total pressure contours were analyzed. In order to evaluate the changes in features of decay, the increase in primary
jet exit Mach number, for LT 0.2, 1.0 and 1.5 Dp, centerline and pitot pressure variation is plotted against axial distance based on
primary jet exit Mach numbers 0.6, 0.8, and 1.0. Figure 7 shows the centerline pitot pressure decay for LT 0.2 Dp at Mach numbers 1.0, 0.8 and 0.6. Error in the pressure plots
in this paper is maintained within ± 2%. The PCL for LT 0.2 Dp for Mach 1.0, 0.8 and 0.6 CFJ are X/Dp = 5 uniformly for all three
Mach numbers. This may be due to the fact that Mach number effect on coflow is insignificant (Srinivasarao et al. 2013). The effect
of inclination due to geometrical constraints is found minimal. This is due to the fact that the included angle is 2.86°, which may
not have profound effect on primary jet. When the included angle increases significantly, the potential core of the primary jet
might be affected because of the impinging nature of the angular jets, which is not so in the present case. The deviation was low
along the characteristic decay region. Hence, it can be concluded that the variation in Mach number does not have any significance
in LT 0.2 Dp in case of CFJ. The changes in slope along the axis from X/Dp = 2 to 5 is 0 since the potential core ends only up to
X/Dp = 5 for Mach numbers 1.0, 0.8 and 0.6 along primary jet exit in the CFJ. Once the flow is established, the flow becomes steady
till the secondary jets losses its strength. When the coflow exist at an angle to the horizontal with respect to CFJ, it is described as angular coflow. Shankar RKN, Raja ND
4 The ratio of the jet cross section area to the projected area of the probe
was maintained greater than 64 to neglect the effect of probe blockage. Hence the exit diameter of the coflowing jet nozzle was
at least 24 mm. Total pressure was measured by arranging the probe as parallel to the flow. The static pressure was measured by
arranging the probe as normal to the flow. Flow
ϕ0,6
15
1,52
Figure 6. Measure of total and static pressure using probe. Flow Figure 6. Measure of total and static pressure using probe. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness 5 RESULTS AND DISCUSSION To study the effect of Mach number in subsonic coflowing jets, centerline total pressure, centerline static pressure and radial
static pressure are analyzed. Three major regions exist in axial total pressure variation such as potential core, characteristic decay
and fully developed region are studied. Axial static pressure was assumed constant in previous studies which becomes inappropriate
with finite lip thickness and varying Mach number. Thus, axial static pressure is analyzed in the present work. CENTERLINE TOTAL PRESSURE VARIATION In the present study,
CFJ exist at the angle of 2.86° for LT 0.2 Dp. However, for the other two cases, i.e., LT 1.0 Dp and LT 1.5 Dp, the secondary jet flow
parallel to the primary jet at the exit of the nozzle. In other words, the incident angle is 0° for the CFJ having finite lip thickness. Mach 0.6
Mach 0.8
Mach 1.0
1.00
0.75
0.50
0.25
0.00
0
5
10
15
20
X/Dp
Pt/Po
Figure 7. Centerline pitot pressure variation for CFJ with LT 0.2 Dp. p
Figure 7. Centerline pitot pressure variation for CFJ with LT 0.2 Dp. Figure 8 shows the centerline pitot pressure decay for LT 1.0 Dp at primary jet exit Mach numbers 0.6, 0.8, and 1.0. The drop
in Pt/Po is indicated as characteristic decay length (CDL) in the plot. Potential core length for CFJ with LT 1.0 Dp for primary
jet exit Mach numbers 0.6, 0.8, and 1.0 are X/Dp = 2.5, 2.0 and 2.0 respectively. Within the characteristic decay region, due to
increase in Mach number, the variation found is very meagre, but unlike LT 0.2 Dp, there exists a minor variation in this region. Between X/Dp = 2 and 5 unlike the previous case, due to increased mixing the slope of the curve increases. The variation in J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Shankar RKN, Raja ND Shankar RKN, Raja ND
6 slope along the axis from X/Dp = 2 to 5 is 0.137, 0.148 and 0.158 for primary jet exit Mach number 1.0, 0.8 and 0.6. It is found to
be zero for CFJ with LT 0.2 Dp. Hence the variation in slope increases as LT increases. This is because a dominant wake region
that is present in-between primary and secondary jets alters the characteristics in the near field. The variation of slope increases
marginally with increase in Mach number for CFJ with LT 1.0 Dp. slope along the axis from X/Dp = 2 to 5 is 0.137, 0.148 and 0.158 for primary jet exit Mach number 1.0, 0.8 and 0.6. It is found to
be zero for CFJ with LT 0.2 Dp. Hence the variation in slope increases as LT increases. This is because a dominant wake region
that is present in-between primary and secondary jets alters the characteristics in the near field. l
g
y g
p
7 The flow behavior that lead to improvement in mixing when LT increases can be explained as follows: when LT increases, along
the intermediate region, there will be strong mixing between the primary and secondary jets. In this region, extra momentum will be
exerted over primary jet by the secondary jet. The increased lip thickness can be used not only to trigger but to control the evolution of
organized structures. However, it could increase the turbulence in and around the shear layers. So, it can aid the mixing of the two streams
of CFJ (Orlu et al. 2008). This gives more practical importance to such flows. The turbulence affects the characteristics in the initial
merging region which lies prior to the intermediate region. The vortices generated by higher lip thickness has larger geometry than that
generated by its counterpart having lower lip thickness. This can result in the fast entrainment of secondary flow field and also make the
entrainment to readily mix with the composition of primary jet. This can shorten the length of jet by disturbing the PCL of primary jet. CENTERLINE TOTAL PRESSURE VARIATION The variation of slope increases
marginally with increase in Mach number for CFJ with LT 1.0 Dp. Mach 0.6
Mach 0.8
Mach 1.0
1.00
0.75
0.50
0.25
0.00
0
5
10
15
20
X/Dp
Pt/Po
CDL
Figure 8. Centerline pitot pressure variation for CFJ with LT 1.0 Dp. p
Figure 8. Centerline pitot pressure variation for CFJ with LT 1.0 Dp. Figure 9 shows centerline pitot pressure decay for LT 1.5 Dp at primary jet exit Mach numbers 1.0, 0.8 and 0.6. The potential
core length for CFJ with LT 1.5 Dp at primary jet exit Mach numbers 0.6, 0.8, and 1.0 are X/Dp = 1.6, 1.6 and 1.2 respectively. The variation in slope in the near field from X/Dp = 2 to 5 is 0.194, 0.195 for primary jet exit Mach numbers 0.6 and 0.8. CDL
Mach 0.6
Mach 0.8
Mach 1.0
1.00
0.75
0.50
0.25
0.00
0
5
10
15
20
X/Dp
Pt/Po
Figure 9. Centerline pitot pressure variation for CFJ with LT 1.5 Dp. Mach 0.6 p
Figure 9. Centerline pitot pressure variation for CFJ with LT 1.5 Dp. For primary jet exit Mach number 1.0 the changes in slope along the axis from X/Dp = 1 to 4 is 0.23. Again, the variation in
slope keeps increasing as lip thickness increases. The variation of slope increases marginally with increase in Mach number for
CFJ with LT1.5 Dp. The above discussed results are summarized in Table 2. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020
Table 2. PCL in terms of nozzle exit diameter and its reduction for LT 0.2 Dp, LT 1.0 Dp, LT 1.5 Dp at Mp of 0.6, 0.8 and 1.0. Type of jet
Mach 0.6
Mach 0.8
Mach 1.0
PCL (X/Dp)
DPCL
PCL (X/Dp)
DPCL
PCL (X/Dp)
DPCL
LT 0.2 Dp
5
----
5
----
5
----
LT 1.0 Dp
2.5
50 %
2
60 %
2
60 %
LT 1.5 Dp
1.6
68 %
1.6
68 %
1.2
76 % J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness Shankar RKN, Raja ND
8 Shankar RKN, Raja ND Shankar RKN, Raja ND
8 Shankar RKN, Raja ND
8 The fall in static pressure below atmospheric pressure (ΔPsfall) from nozzle exit to X/Dp = 0.5 is 3%, 5.9% and 10.1% atm for
primary jet exit Mach numbers 1.0, 0.8 and 0.6 respectively. The rise in static pressure above atmospheric pressure (ΔPsrise) from
X/Dp = 0.5 to 2.0 is 3.3%, 6.4%, and 11% atm for primary jet exit Mach numbers 0.6, 0.8, and 1.0 respectively. The variation in slope
of sinusoidal static pressure curve for primary jet exit Mach number 1.0 is more than that of Mach 0.6 and 0.8. A similar trend is
observed for LT 1.5 Dp of CFJ at primary jet exit Mach numbers 0.6, 0.8, and 1.0 as shown in Fig. 12. Hence, there is considerable
variation in the static pressure irrespective of the Mach numbers. Mach 0.6
Mach 0.8
Mach 1.0
1.00
0.75
0.50
0.25
0.00
0
2
4
6
8
10
X/Dp
Ps/Patm
Figure 12. Centerline static pressure variation for CFJ with LT 1.5 Dp. p
Figure 12. Centerline static pressure variation for CFJ with LT 1.5 Dp. The variation of Mach number profoundly influences axial static pressure and it is quantitatively tabulated in Table 3
for primary jet exit Mach numbers 0.6, 0.8 and 1.0 respectively for the three different lip thickness. The variation of Mach number profoundly influences axial static pressure and it is quantitatively tabulated in Table 3
for primary jet exit Mach numbers 0.6, 0.8 and 1.0 respectively for the three different lip thickness. Table 3. Comparison of static pressure variation based on primary jet exit Mach number for different lip thickness. Lip Thickness
Type of Jet
Psmin
ΔPsfall
Psmax
ΔPsrise
LT 0.2 Dp
Mach 0.6
3.5
2.7
-----
-----
Mach 0.8
4.5
2.9
-----
-----
Mach 1.0
6.0
3.2
-----
-----
LT 1.0 Dp
Mach 0.6
0.5
3.0
2.0
3.3
Mach 0.8
0.5
5.9
2.0
6.5
Mach 1.0
0.5
10.1
2.0
11.1
LT 1.5 Dp
Mach 0.6
0.7
1.2
2.7
2.3
Mach 0.8
0.7
3.3
2.7
5.1
Mach 1.0
0.7
7.7
2.7
10.8
Figure 13 shows comparison of CFJ with LT 1.0 Dp and bypass ratio 6.4 with Matsumoto et al. (1973), where bypass
ratio was very high because area ratio was 363 and velocity ratio was 0.54, giving rise to bypass ratio of 196. In this
study the bypass ratio is comparatively low. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 CENTERLINE STATIC PRESSURE VARIATION If Mach number of the primary jet increases, then it can cause a considerable variation in static pressure. Hence centerline static
pressure variation is plotted against axial distance based on primary jet exit Mach numbers 0.6, 0.8 and 1.0, for LT 0.2 Dp, 1.0 Dp, and
1.5 Dp as shown in Figs. 9, 10 and 11 respectively. Figure 10 shows the centerline static pressure decay for LT 0.2 Dp at primary jet exit
Mach numbers of 1.0, 0.8 and 0.6. Static pressure decreases gradually from the exit of the nozzle and becomes constant after an axial extent
as discussed in the previous section. Hence, there is negligible variation in the static pressure irrespective of the Mach numbers. It can
be clearly seen from the plot that there is no significant variation found in the near field region. Therefore, the static pressure variation
due to the increase in primary jet exit Mach number does not have any noticeable influence on LT 0.2 Dp of CFJ (Matsumoto et al. 1973). Mach 0.6
Mach 0.8
Mach 1.0
1.00
0.75
0.50
0.25
0.00
0
2
4
6
8
10
X/Dp
Ps/Patm
Figure 10. Centerline static pressure variation for CFJ with LT 0.2 Dp. p
Figure 10. Centerline static pressure variation for CFJ with LT 0.2 Dp. Figure 11 shows the centerline static pressure decay for CFJ with lip thickness 1.0 Dp at primary jet exit Mach numbers 1.0,
0.8 and 0.6. In the near field region, as the Mach number increases, rapid variation of static pressure occurs. Hence, there is
considerable variation in the static pressure irrespective of the Mach numbers. Mach 0.6
Mach 0.8
Mach 1.0
1.00
0.75
0.50
0.25
0.00
0
2
4
6
8
10
X/Dp
Ps/Patm
Figure 11. Centerline static pressure variation for CFJ with LT 1.0 Dp. p
Figure 11. Centerline static pressure variation for CFJ with LT 1.0 Dp. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Shankar RKN, Raja ND
8 Hence, there is noticeable variation in the static pressure irrespective of the
Mach numbers. However, in both studies, static pressure rises and lowers along the axis and becomes constant after a
far axial extend. Figure 13 shows comparison of CFJ with LT 1.0 Dp and bypass ratio 6.4 with Matsumoto et al. (1973), where bypass
ratio was very high because area ratio was 363 and velocity ratio was 0.54, giving rise to bypass ratio of 196. In this
study the bypass ratio is comparatively low. Hence, there is noticeable variation in the static pressure irrespective of the
Mach numbers. However, in both studies, static pressure rises and lowers along the axis and becomes constant after a
far axial extend. Figure 13 shows comparison of CFJ with LT 1.0 Dp and bypass ratio 6.4 with Matsumoto et al. (1973), where bypass
ratio was very high because area ratio was 363 and velocity ratio was 0.54, giving rise to bypass ratio of 196. In this
study the bypass ratio is comparatively low. Hence, there is noticeable variation in the static pressure irrespective of the
Mach numbers. However, in both studies, static pressure rises and lowers along the axis and becomes constant after a
far axial extend. Figure 13 shows comparison of CFJ with LT 1.0 Dp and bypass ratio 6.4 with Matsumoto et al. (1973), where bypass
ratio was very high because area ratio was 363 and velocity ratio was 0.54, giving rise to bypass ratio of 196. In this
study the bypass ratio is comparatively low. Hence, there is noticeable variation in the static pressure irrespective of the
Mach numbers. However, in both studies, static pressure rises and lowers along the axis and becomes constant after a
far axial extend. Figure 13 shows comparison of CFJ with LT 1.0 Dp and bypass ratio 6.4 with Matsumoto et al. (1973), where bypass
ratio was very high because area ratio was 363 and velocity ratio was 0.54, giving rise to bypass ratio of 196. In this
study the bypass ratio is comparatively low. Hence, there is noticeable variation in the static pressure irrespective of the
Mach numbers. However, in both studies, static pressure rises and lowers along the axis and becomes constant after a
far axial extend. J. Aerosp. Technol. Shankar RKN, Raja ND
8 Manag., São José dos Campos, v12, e2520, 2020 Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness 9 Present Study
Matsumoto et al. 1.12
1.08
1.04
1.00
0.96
0.92
0.88
0
1
2
3
4
5
6
7
8
X/Dp
Ps/Patm
Figure 13. Primary jet axial static pressure comparison between present study and Matsumoto et al. (1973). Present Study
Matsumoto et al. 1.12
1.08
1.04
1.00
0.96
0.92
0.88
0
1
2
3
4
5
6
7
8
X/Dp
Ps/Patm Present Study
Matsumoto et al. igure 13. Primary jet axial static pressure comparison between present study and Matsumoto et al. (19 RADIAL STATIC PRESSURE VARIATION Radial near field static pressure variation for CFJ with LT 1.0 Dp, at Mp 1.0. 1.84e+00
1.79e+00
1.74e+00
1.69e+00
1.64e+00
1.59e+00
1.54e+00
1.49e+00
1.44e+00
1.39e+00
1.34e+00
1.29e+00
1.24e+00
1.18e+00
1.13e+00
1.08e+00
1.03e+00
9.83e+01
9.33e+01
8.83e+01
8.32e+01
Figure 18. Contours of static pressure for CFJ with LT 1.0 Dp, at Mp 1.0. 1.26e+00
1.24e+00
1.23e+00
1.21e+00
1.20e+00
1.18e+00
1.16e+00
1.15e+00
1.13e+00
1.12e+00
1.10e+00
1.09e+00
1.07e+00
1.05e+00
1.04e+00
1.02e+01
1.01e+01
9.91e+01
9.76e+01
9.60e+00
9.44e+01
Figure 16. Contours of static pressure for CFJ with LT 1.0 Dp, at Mp 0.6. X/D = 0.1
X/D =0.5
X/D =1.0
X/D =1.5
X/D = 2.0
X/D =2.5
X/D =3.0
X/D =4.0
1.2
1.1
1.0
0.9
0.8
0
5
10
15
20
R/Dp
Ps/Patm
Figure 17. Radial near field static pressure variation for CFJ with LT 1.0 Dp, at Mp 1.0. 1.26e+00
1.24e+00
1.23e+00
1.21e+00
1.20e+00
1.18e+00
1.16e+00
1.15e+00
1.13e+00
1.12e+00
1.10e+00
1.09e+00
1.07e+00
1.05e+00
1.04e+00
1.02e+01
1.01e+01
9.91e+01
9.76e+01
9.60e+00
9.44e+01
Figure 16. Contours of static pressure for CFJ with LT 1.0 Dp, at Mp 0.6. X/D = 0.1
X/D =0.5
X/D =1.0
X/D =1.5
X/D = 2.0
X/D =2.5
X/D =3.0
X/D =4.0
1.2
1.1
1.0
0.9
0.8
0
5
10
15
20
R/Dp
Ps/Patm
Figure 17. Radial near field static pressure variation for CFJ with LT 1.0 Dp, at Mp 1.0. Figure 17. Radial near field static pressure variation for CFJ with LT 1.0 Dp, at Mp 1.0. 1.84e+00
1.79e+00
1.74e+00
1.69e+00
1.64e+00
1.59e+00
1.54e+00
1.49e+00
1.44e+00
1.39e+00
1.34e+00
1.29e+00
1.24e+00
1.18e+00
1.13e+00
1.08e+00
1.03e+00
9.83e+01
9.33e+01
8.83e+01
8.32e+01
Figure 18. Contours of static pressure for CFJ with LT 1.0 Dp, at Mp 1.0. Figure 18. Contours of static pressure for CFJ with LT 1.0 Dp, at Mp 1.0. The static pressure is nondimensionalized with atmospheric pressure. It can be clearly seen that static pressure varies along
the radial direction in the wake region. There are more variations in static pressure along radial direction which is due to the
flow turbulence. The static pressure variation is noted to increase with the Mach number of the CFJ. On the other hand, the static
pressure variation is profound only in the near field region up to an axial station of X/Dp = 4.0, for all coflowing jets analyzed in
the present study. Beyond this axial station the static pressure variation becomes almost negligible. Static pressure contours obtained from
numerical simulation confirms the experimental trend. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 RADIAL STATIC PRESSURE VARIATION Radial total pressure variation does not vary much with varying Mach number (Shankar et al. 2018). Figure 14 shows the experimental
and CFD comparison with varying grids. This reveals that CFD work matches well with experimental work. The CFD contours were obtained
from Shankar et al. (2016; 2017; 2018). The CFD study had good agreement with experimental study by the same author in the previous
studies (Shankar et al. 2016; 2017; 2018). In radial direction the variation is very minimal i.e., within ± 1%. The nondimensionalized static
pressure rise along radial direction is shown in Figs. 15 and 17 and corresponding contours are presented in Figs. 16 and 18 respectively. Experiment
Fine grid
Medium grid
Coarse grid
1.00
0.75
0.50
0.25
0.00
0
5
10
15
20
X/Dp
Pt/Po
Figure 14. Experimental and CFD comparison of CFJ. Experiment
Fine grid
Medium grid
Coarse grid Experiment
Fine grid
Medium grid
Coarse grid
1.00
0.75
0.50
0.25
0.00
0
5
10
15
20
X/Dp
Pt/Po
Figure 14. Experimental and CFD comparison of CFJ. X/D = 0.1
X/D =0.5
X/D =1.0
X/D =1.5
X/D = 2.0
X/D =2.5
X/D =3.0
X/D =4.0
1.2
1.1
1.0
0.9
0.8
0
5
10
15
20
R/Dp
Ps/Patm
Figure 15. Radial near field static pressure variation for CFJ with LT 1.0 Dp, at Mp 0.6. p
Figure 14. Experimental and CFD comparison of CFJ. X/D = 0.1
X/D =0.5
X/D =1.0
X/D =1.5
X/D = 2.0
X/D =2.5
X/D =3.0
X/D =4.0
1.2
1.1
1.0
0.9
0.8
0
5
10
15
20
R/Dp
Ps/Patm
15 R di l
fi ld
t ti
i ti
f
CFJ
ith LT 1 0 D p
Figure 15. Radial near field static pressure variation for CFJ with LT 1.0 Dp, at Mp 0.6. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Shankar RKN, Raja ND
10 Shankar RKN, Raja ND 10 N, Raja ND ,
j
10 1.26e+00
1.24e+00
1.23e+00
1.21e+00
1.20e+00
1.18e+00
1.16e+00
1.15e+00
1.13e+00
1.12e+00
1.10e+00
1.09e+00
1.07e+00
1.05e+00
1.04e+00
1.02e+01
1.01e+01
9.91e+01
9.76e+01
9.60e+00
9.44e+01
Figure 16. Contours of static pressure for CFJ with LT 1.0 Dp, at Mp 0.6. X/D = 0.1
X/D =0.5
X/D =1.0
X/D =1.5
X/D = 2.0
X/D =2.5
X/D =3.0
X/D =4.0
1.2
1.1
1.0
0.9
0.8
0
5
10
15
20
R/Dp
Ps/Patm
Figure 17. VELOCITY CONTOURS OF COFLOWING JET USING CFD In this section velocity contour plots of coflowing jets with different lip thicknesses and bypass ratios are plotted. These contour
plots are plotted for Mach number 0.6, since higher values of Mach number do not cause much variation in the jet flow field
behavior. When compared to total pressure contours, velocity contours would have a wider jet spread because of the isentropic
relation that is followed in converting total pressure and static pressure in terms of Mach number. The values of velocity shown
in the contour plots as shown in left hand side of Fig. 19 are in the unit of m/s. 2.20e+02
2.09e+02
1.98e+02
1.87e+02
1.76e+02
1.65e+02
1.54e+02
1.43e+02
1.32e+02
1.21e+02
1.10e+02
9.91e+01
8.81e+01
7.71e+01
6.61e+01
5.50e+01
4.40e+01
3.30e+01
2.20e+01
1.10e+01
0.00e+00
Figure 19. Velocity contour plot for coflowing jets with Lip thickness 1.5 Dp, bypass ratio 6.0 and Mach number 0.6. Figure 19. Velocity contour plot for coflowing jets with Lip thickness 1.5 Dp, bypass ratio 6.0 and Mach number 0.6. RADIAL STATIC PRESSURE VARIATION Coflowing jet with relatively high Mach number have significant variation
in static pressure particularly at sonic Mach numbers, as seen in Fig. 10 (variation up to 11.1%) for lip thickness 1.0 Dp. The reason for static pressure variation along the radial direction can be explained as follows: for large values of lip thickness,
huge recirculation zone will be generated just adjacent to the nozzle wall. This is because of intense turbulent mixing of two jets
near the nozzle wall, leading to static pressure variation across the region (Matsumoto et al. 1973). Also, when bypass ratio and J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness Mach number increase for CFJ with relatively higher values of lip thickness, recirculation zone becomes dominant, and hence static
pressure varies profoundly adjacent to the flow field. When bypass ratio and Mach number are found relatively less, only marginal
variation in static pressure is observed. Such characteristics can be useful in applications such as fuel air mixing in combustion
chamber of aircraft (low sub sonic Mach number), ram jet (Mach number ≤ 0.3) and scramjet (supersonic Mach number), jet
mixing in aircraft exhaust, mixing with bluff bodies such as afterburner. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 ACKNOWLEDGMENTS The authors thank Dr. K. Vijayaraja, Head, Department of Aeronautical Engineering, KCG College of Technology, for permitting
to conduct experiments. Editors and authors are thankful to Fundação Conrado Wessel for providing the financial support for
publishing this article. CONCLUSION Coflowing nozzle subjected to subsonic jet flow is studied to correlate the influence of lip thickness and Mach number over the
total pressure and static pressure. It is noted that for very small lip thickness, i.e., 0.2 Dp static pressure was maintained constant
along the jet. Because of this, the potential core length and decay characteristics did not vary significantly. For this case, changing
the Mach number did not show any noticeable variation in the flow characteristic. Substantial influence of Mach number is noted in the Coflowing jet having finite lip thickness. In other words, the CFJ having
considerable lip thickness i.e., 1.0 Dp and 1.5 Dp had noticeable variation in the total pressure and static pressure. Increasing the
Mach number results in mixing enhancement along the coflowing jet. However, it shortened the potential core length by 10%
for LT 1.0 Dp and 8% for 1.5 Dp, because of its ability to vary the pressure along the jet. It is observed that along the axis of the
jet, static pressure varies from 3% for Mach 0.6 to 11% for Mach 1.0. Such incident is novel because the phenomenon does not
occur in coflow jet with negligible lip thickness (LT 0.2 Dp), but occurs for coflowing jets with finite lip thicknesses (LT 1.0 Dp
and LT 1.5 Dp). Increasing the lip thickness promotes wake dominance between primary and secondary jets. This enables better
interaction along the length of the jet stream and enhances mixing. Variation in static pressure is profound with finite lip thickness. Shankar RKN, Raja ND
12 The mixing process of primary and secondary jets is being affected by wake behind the nozzle wall and turbulence intensity increases
as the lip thickness increases (Shankar et al. 2016; 2017; 2018). The turbulence level in the near field is mainly due to the wake formation
behind the wall which is responsible for the increase in turbulence intensity with lip thickness. The numerical work carried out in
the present study is focused to get an insight on the flow field characteristics and the major research focuses on experimental study. AUTHOR’S CONTRIBUTION Conceptualization, Naren Shankar R; Methodology, Naren Shankar R; Validation, Naren Shankar R; Writing – Original
Draft, Naren Shankar R and Dilip Raja N; Writing – Review and Editing, Naren Shankar R and Dilip Raja N; Supervision, Naren
Shankar R and Dilip Raja N. TURBULENCE CONTOURS OF COFLOWING JET USING CFD Turbulent viscosity ratio is measured by finding the ratio of eddy viscosity (νT) to the molecular viscosity (ν). Figure 20 shows
the ratio of variation of turbulent viscosity in the near field of the coflowing jet. It is observed that, for finite value of lip thickness
(1.5 Dp in the present study) substantial value of turbulent intensity occurs behind the nozzle wall. 5.09e+03
4.83e+03
4.58e+03
4.32e+03
4.07e+03
3.82e+03
3.56e+03
3.31e+03
3.05e+03
2.80e+03
2.54e+03
2.29e+03
2.03e+03
1.78e+03
1.53e+03
1.27e+03
1.02e+03
7.63e+02
5.09e+02
2.54e+02
6.56e+02
Figure 20. Near field contours of turbulent viscosity ratio for lip thickness
1.5 Dp primary jet exit Mach number 0.6 and bypass ratio 6.0. Figure 20. Near field contours of turbulent viscosity ratio for lip thickness
1.5 Dp primary jet exit Mach number 0.6 and bypass ratio 6.0. J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 REFERENCES Buresti G, Talamelli A, Petagna P (1994) Experimental characterization of the velocity field of a coaxial jet configuration. Exp Therm Fluid
Sci. 9(2):135-146. https://doi.org/10.1016/0894-1777(94)90106-6 Matsumoto R, Kimoto K, Tsuchimoto N (1973) A study on double concentric jets: 1st report, experimental results of air-air flow. Bulletin
JSME. 16:93:529-540. https://doi.org/10.1299/jsme1958.16.529x Matsumoto R, Kimoto K, Tsuchimoto N (1973) A study on double concentric jets: 1st report, experimental results of air-air flow. Bulletin
JSME. 16:93:529-540. https://doi.org/10.1299/jsme1958.16.529x Örlü R, Segalini A, Alfredsson H, Talamelli A (2008) On the passive control of the near-field of coaxial jets by means of vortex shedding. In: J. Aerosp. Technol. Manag., São José dos Campos, v12, e2520, 2020 Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness Novel Characteristics of Subsonic Coflowing Jets With Varying Lip Thickness
13 1st international conference on jets, wakes and separated flows. Berlin: Technical University of Berlin. Papamoschou D (2000) Mixing enhancement using axial flow. In: 38th Aerospace Sciences Meeting and Exhibit. Reno: Meeting Paper. 2000-0093. https://doi.org/10.2514/6.2000-93 Rathakrishnan E (2010) Applied Gas Dynamics. New Jersey: John Wiley. Rathakrishnan E (2010) Applied Gas Dynamics. New Jersey: John Wiley. 2010) Applied Gas Dynamics. New Jersey: John Wiley. Shankar RN, Thanigaiarasu S, Rathakrishnan E (2016) Numerical characterization of lip thickness on subsonic and correctly expanded
sonic coflowing jets. T JPN Soc Aeronaut S. 59(3):134-141. https://doi.org/10.2322/tjsass.59.134 Shankar RN (2017) Effect of lip thickness and bypass ratio on characteristics of co flowing jets. (Doctorate Thesis) Chennai: Anna
University. http://hdl.handle.net/10603/180944 Shankar RS, Thanigaiarasu S, Elangovan S, Rathakrishnan E (2018) Coflowing jet control using lip thickness variation. Int J Turbo Jet Eng. https://doi.org/10.1515/tjj-2018-0024 Shankar RN, Bennet SK (2019) Characteristics of a coflowing jet with varying lip thickness and constant bypass ratio. Aircr Eng Aerosp
Tec. 91(9):1205-1213. https://doi.org/10.1108/AEAT-01-2019-0007 Shupe R, Zaman K, Papamoschou D (2007) Effect of Wedge-Shaped Deflectors on Flow Fields of Dual-Stream Jets. In: 13th AIAA/
CEAS 2007 aeroacoustics conference (28th AIAA aeroacoustics conference). Rome: Meeting Paper 2007-3659. https://doi. org/10.2514/6.2007-3659 Srinivasarao T, Lovaraju P, Rathakrishnan E (2013) Characteristics of coflow jets from orifices. Int J Turbo Jet Eng. 31(2):141-148. https://doi.org/10.1515/tjj-2013-0040 Thanigaiarasu S, Shankar RN, Rathakrishnan E (2018) Influence of bypass ratio on subsonic and correctly expanded sonic coflowing jets
with finite lip thickness. P I Mech Eng G-J Aer. 233(7):2536-2548. https://doi.org/10.1177/0954410018782511 Zaman KBMQ, Papamoschou D (2000). Study of mixing enhancement observed with a co-annular nozzle configuration. In: 38th Aerospace
Sciences Meeting and Exhibit. Reno: Meeting Paper. 2000-0094. https://doi.org/10.2514/6.2000-94 Zaman KBMQ, Dahl MD (2007) Noise and spreading of subsonic coannular jets-comparison with single equivalent jet. AIAA J. 45(11):2661-
2670. https://doi.org/10.2514/1.29441
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English
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Human Leukocyte Antigen alleles associated with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
|
Scientific reports
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cc-by
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www.nature.com/scientificreports www.nature.com/scientificreports www.nature.com/scientificreports Human Leukocyte Antigen
alleles associated with Myalgic
Encephalomyelitis/Chronic Fatigue
Syndrome (ME/CFS)
Asgeir Lande1,2*, Øystein Fluge3, Elin B. Strand4,5, Siri T. Flåm1, Daysi D. Sosa6, Olav Mella3,
T
t i E
l
d2 7 Ol D S
t d8 B
di t A Li 1 2 7 & M
t K Vik
1 7 The specificity and validity of different diagnostic criteria have been questioned, yet there is no agreement
on the level of heterogeneity in ME/CFS, and there is no consensus on how to categorize different subgroups4–8. The pathogenesis and etiology of ME/CFS are unknown, with several models having been proposed9. One
central hypothesis states that autoimmunity is part of the pathophysiology10,11. ME/CFS has been reported to be
partly heritable12,13, consistent with a multifactorial etiology dependent on both genetic and environmental fac-
tors This is the prevailing model for a vast number of diseases including established autoimmune diseases (AID) Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a disabling disorder characterized by med-
ically unexplained fatigue, post-exertional malaise and a variety of additional symptoms, such as chronic pain,
sleep disturbances and cognitive difficulties. ME/CFS is diagnosed on clinical grounds alone, and different sets
of criteria specify the mandatory symptoms as well as recommendations for the exclusion of differential diagno-
ses1–3. The specificity and validity of different diagnostic criteria have been questioned, yet there is no agreement
on the level of heterogeneity in ME/CFS, and there is no consensus on how to categorize different subgroups4–8. The pathogenesis and etiology of ME/CFS are unknown, with several models having been proposed9. One
central hypothesis states that autoimmunity is part of the pathophysiology10,11. ME/CFS has been reported to be
partly heritable12,13, consistent with a multifactorial etiology dependent on both genetic and environmental fac-
tors. This is the prevailing model for a vast number of diseases, including established autoimmune diseases (AID). Several publications report immunological alterations among ME/CFS patients, e.g. changes in natural killer
(NK) cell function14,15, cytokine levels16,17, and DNA methylation patterns consistent with immune dysregula-
tion18. Some of these findings have failed to reproduce in other studies, which could be due to differences in meth-
odology, the complexity and heterogeneity of ME/CFS, and lack of power due to small sample sizes19. Resultingly,
the autoimmunity hypothesis warrants further evaluation. A characteristic feature of AID is genetic association
with certain human leukocyte antigen (HLA) alleles20. Thus, a thorough investigation of HLA associations in ME/
CFS is relevant, although HLA associations per se cannot be used as evidence regarding disease etiology21. Studies f
The pathogenesis and etiology of ME/CFS are unknown, with several models having been proposed9. One
central hypothesis states that autoimmunity is part of the pathophysiology10,11. Human Leukocyte Antigen
alleles associated with Myalgic
Encephalomyelitis/Chronic Fatigue
Syndrome (ME/CFS)
Asgeir Lande1,2*, Øystein Fluge3, Elin B. Strand4,5, Siri T. Flåm1, Daysi D. Sosa6, Olav Mella3,
T
t i E
l
d2 7 Ol D S
t d8 B
di t A Li 1 2 7 & M
t K Vik
1 7 Asgeir Lande1,2*, Øystein Fluge3, Elin B. Strand4,5, Siri T. Flåm1, Daysi D. Sosa6, Olav Mella3,
Torstein Egeland2,7, Ola D. Saugstad8, Benedicte A. Lie1,2,7 & Marte K. Viken1,7 The etiology and pathogenesis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) are
unknown, and autoimmunity is one of many proposed underlying mechanisms. Human Leukocyte
Antigen (HLA) associations are hallmarks of autoimmune disease, and have not been thoroughly
investigated in a large ME/CFS patient cohort. We performed high resolution HLA -A, -B, -C, -DRB1,
-DQB1 and -DPB1 genotyping by next generation sequencing in 426 adult, Norwegian ME/CFS
patients, diagnosed according to the Canadian Consensus Criteria. HLA associations were assessed by
comparing to 4511 healthy and ethnically matched controls. Clinical information was collected through
questionnaires completed by patients or relatives. We discovered two independent HLA associations,
tagged by the alleles HLA-C*07:04 (OR 2.1 [95% CI 1.4–3.1]) and HLA-DQB1*03:03 (OR 1.5 [95% CI 1.1–
2.0]). These alleles were carried by 7.7% and 12.7% of ME/CFS patients, respectively. The proportion
of individuals carrying one or both of these alleles was 19.2% in the patient group and 12.2% in the
control group (OR 1.7 [95% CI 1.3–2.2], pnc = 0.00003). ME/CFS is a complex disease, potentially with a
substantial heterogeneity. We report novel HLA associations pointing toward the involvement of the
immune system in ME/CFS pathogenesis. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a disabling disorder characterized by med-
ically unexplained fatigue, post-exertional malaise and a variety of additional symptoms, such as chronic pain,
sleep disturbances and cognitive difficulties. ME/CFS is diagnosed on clinical grounds alone, and different sets
of criteria specify the mandatory symptoms as well as recommendations for the exclusion of differential diagno-
ses1–3. The specificity and validity of different diagnostic criteria have been questioned, yet there is no agreement
on the level of heterogeneity in ME/CFS, and there is no consensus on how to categorize different subgroups4–8.h Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a disabling disorder characterized by med-
ically unexplained fatigue, post-exertional malaise and a variety of additional symptoms, such as chronic pain,
sleep disturbances and cognitive difficulties. ME/CFS is diagnosed on clinical grounds alone, and different sets
of criteria specify the mandatory symptoms as well as recommendations for the exclusion of differential diagno-
ses1–3. Results
h Characterization of patient and control groups. We included 426 ME/CFS patients and 4511 healthy,
ethnically matched controls. All patients had been diagnosed in Norway according to the 2003 Canadian
Consensus Criteria2, except for four patients where the similarly strict 2010 International Consensus Criteria3
were applied. Demographic and clinical characteristics of patients and controls are shown in Table 1. The mean
age at diagnosis for ME/CFS patients was 34.7 years, 82.8% were female, and most patients (45.5%) had a disease
duration of 5–10 years, from symptom debut to inclusion. 12.5% of the patients had severe or very severe disease
(bedridden). An additional 28.6% had moderate to severe disease (strictly housebound). A total of 41.1% of ME/
CFS patients were bed- or housebound, and 86.8% of patients were unable to work full or part time the previous
6 months. HLA alleles associated with ME/CFS. In all patients and controls, we obtained 2nd field resolution geno-
types of HLA class I genes HLA -A, -B and -C and class II genes HLA -DRB1, -DQB1 and -DPB1. This resolution
distinguishes HLA alleles that encode specific HLA proteins. No significant deviations from Hardy-Weinberg
equilibrium were noted at any HLA loci, neither in the patient group nor in the control group (Supplementary
Table S1). Allele frequencies for all observed HLA Class I and Class II alleles are presented in Supplementary
Table S2. Global association tests for each HLA locus (Supplementary Table S3) were significant for HLA-C
(p = 0.04) and HLA-DQB1 (p = 0.04). When comparing individual allele frequencies between patients and con-
trols, four HLA risk alleles emerged (Table 2): C*07:04 (OR = 2.1 [95% CI 1.4–3.1], pnc = 0.0001, pc = 0.001),
B*57:01 (OR = 1.6 [95% CI 1.2–2.3], pnc = 0.004, pc < 0.05), DQB1*03:03 (OR = 1.5 [95% CI 1.1–2.0], pnc = 0.005,
pc < 0.05) and B*44:02 (OR = 1.3 [95% CI 1.0–1.6], pnc = 0.03, pc = n.s.). In order to evaluate the dependency of
these associations, we measured the degree of linkage disequilibrium (LD) between the four alleles within the
patient group (Fig. 1). Strong LD was observed between C*07:04 and B*44:02 (D’ = 0.90) as well as between
B*57:01 and DQB1*03:03 (D’ = 0.69), indicating that these alleles may occur on two distinct haplotypes. Human Leukocyte Antigen
alleles associated with Myalgic
Encephalomyelitis/Chronic Fatigue
Syndrome (ME/CFS)
Asgeir Lande1,2*, Øystein Fluge3, Elin B. Strand4,5, Siri T. Flåm1, Daysi D. Sosa6, Olav Mella3,
T
t i E
l
d2 7 Ol D S
t d8 B
di t A Li 1 2 7 & M
t K Vik
1 7 ME/CFS has been reported to be
partly heritable12,13, consistent with a multifactorial etiology dependent on both genetic and environmental fac-
tors. This is the prevailing model for a vast number of diseases, including established autoimmune diseases (AID). Several publications report immunological alterations among ME/CFS patients, e.g. changes in natural killer
(NK) cell function14,15, cytokine levels16,17, and DNA methylation patterns consistent with immune dysregula-
tion18. Some of these findings have failed to reproduce in other studies, which could be due to differences in meth-
odology, the complexity and heterogeneity of ME/CFS, and lack of power due to small sample sizes19. Resultingly,
the autoimmunity hypothesis warrants further evaluation. A characteristic feature of AID is genetic association
with certain human leukocyte antigen (HLA) alleles20. Thus, a thorough investigation of HLA associations in ME/
CFS is relevant, although HLA associations per se cannot be used as evidence regarding disease etiology21. Studies 1Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway. 2Institute of Clinical
Medicine, University of Oslo, Oslo, Norway. 3Department of Oncology and Medical Physics, Haukeland University
Hospital and Department of Clinical Science, University of Bergen, Bergen, Norway. 4National Advisory Unit on
CFS/ME, Oslo University Hospital, Oslo, Norway. 5Faculty of Health Science, VID Specialized University, Stavanger,
Norway. 6CFS/ME Center, Oslo University Hospital, Oslo, Norway. 7Department of Immunology, Oslo University
Hospital, Oslo, Norway. 8Department of Pediatric Research, Oslo University Hospital, University of Oslo, Oslo,
Norway. *email: asgeir.lande@medisin.uio.no Scientific Reports | (2020) 10:5267 | https://doi.org/10.1038/s41598-020-62157-x www.nature.com/scientificreports/ Patients
Controls
Mean age, years (min, max)a,b
39.5 (17, 79)
30.6 (19, 52)
Percentage femalesa,c
82.8
59.8
Mean age at diagnosis, years (min,
max)d
34.7 (8, 65)
—
Disease duration, percentage of patientse
1–5 years
18.1
—
5–10 years
45.5
—
10–15 years
26.4
—
>15 years
10.1
—
Disease severity, measured by activity assessment in DSQ79*,
percentage of patientsf
Cat.1: Bedridden
12.5
—
Cat.2: Strictly housebound
28.6
—
Cat.3: Light housework
45.7
—
Cat.4: Able to work part time
12.2
—
Cat.5: Able to work full time
0.8
—
Cat.6: Handling some family
obligations
0.3
—
Cat.7: Handling work and family
obligations
0
—
Table 1. Demographic and clinical characteristics of ME/CFS patients and healthy controls. aValid number of
controls: 4510. Valid number of patients: b426, c424, d345, e288, f385. *DePaul Symptom Questionnaire, question
no. 7949,50: Cat.1: I am not able to work or do anything, and I am bedridden. Human Leukocyte Antigen
alleles associated with Myalgic
Encephalomyelitis/Chronic Fatigue
Syndrome (ME/CFS)
Asgeir Lande1,2*, Øystein Fluge3, Elin B. Strand4,5, Siri T. Flåm1, Daysi D. Sosa6, Olav Mella3,
T
t i E
l
d2 7 Ol D S
t d8 B
di t A Li 1 2 7 & M
t K Vik
1 7 Cat.2: I can walk around the house,
but I cannot do light housework. Cat.3: I can do light housework, but I cannot work part-time. Cat.4: I can only
work part time at work or on some family responsibilities. Cat.5: I can work full time, but I have no energy left
for anything else. Cat.6: I can work full time and finish some family responsibilities but I have no energy left for
anything else. Cat.7: I can do all work or family responsibilities without any problems with my energy. Table 1. Demographic and clinical characteristics of ME/CFS patients and healthy controls. aValid number of
controls: 4510. Valid number of patients: b426, c424, d345, e288, f385. *DePaul Symptom Questionnaire, question
no. 7949,50: Cat.1: I am not able to work or do anything, and I am bedridden. Cat.2: I can walk around the house,
but I cannot do light housework. Cat.3: I can do light housework, but I cannot work part-time. Cat.4: I can only
work part time at work or on some family responsibilities. Cat.5: I can work full time, but I have no energy left
for anything else. Cat.6: I can work full time and finish some family responsibilities but I have no energy left for
anything else. Cat.7: I can do all work or family responsibilities without any problems with my energy. of HLA associations in CFS have been published, but with great variation in patient inclusion criteria and HLA
typing methodology22–30. No reproducible, significant associations are evident across these studies. In the largest
study, including 110 patients, the strongest significant association was with HLA-DQ3 with an odds ratio (OR) of
1.8 (95% CI 1.2–2.8)22. Associations with HLA alleles DQA1*01, DRB1*13:01 and DQB1*06:02 have also been
reported25,27,29. The great majority of these studies include less than 50 patients, and are underpowered for the
detection of moderate to weak associations. Hence, in this study we aimed to conduct a comprehensive investiga-
tion of HLA associations in a large ME/CFS cohort, applying modern, high resolution HLA typing. Results
h most significant association, we performed Svejgaard analyses between C*07:04 and B*44:02 as well as between
B*57:01 and DQB1*03:03 (Supplementary Data Sheet S4). None of the two alleles on either of the two haplotypes
reached significance when testing their independent association, which is not surprising due to the strong LD
mentioned above. We report C*07:04 and DQB1*03:03 as tag alleles for the ME/CFS associations, since these
alleles occur at the two loci initially showing global association.f We next wanted to make sure that these HLA associations were not due to gender differences between the
cases and controls (82.8% vs 59.8% females, respectively). No significant gender differences were observed
between the carrier frequencies of these alleles in either cases (Table 3) or controls (C*07:04 had a carrier fre-
quency of 3.7% in females and 4.0% in males; p = 0.6; DQB1*03:03 had a carrier frequency of 9.0% in females
and 8.3% in males; p = 0.4). Furthermore, after stratifying cases and controls according to gender, heterogeneity
was rejected (p > 0.5) between the OR values obtained for females only and males only, indicating no gender
differences between the HLA associations observed in ME/CFS. f
The two loci HLA-DRB1 and HLA-DQB1 are physically close, and exhibit particularly strong LD. In our data-
set, DQB1*03:03 occurred most frequently with DRB1*07:01. The haplotype DRB1*07:01 - DQB1*03:03 had
estimated frequencies of 4.7% and 2.9% in the patient and control group, respectively (OR 1.7 [95% CI 1.2–2.3],
pnc = 0.003). Among patients, this haplotype was without exception estimated to carry DQA1*02:01. Genotype
data for the HLA-DQA1 locus was only obtained for patients, and was not available for the controls.h There were two alleles with a negative association with ME/CFS, suggesting a potential protection, namely
B*08:01 (OR = 0.7 [95% CI 0.6–0.9], pnc = 0.01, pc = n.s.) and DPB1*02:01 (OR = 0.7 [95% CI 0.6–0.9], pnc = 0.02,
pc = n.s.) (Table 2). These alleles were not in LD (D’ = −0.29), indicating that the associations are independent. The most frequent B*08:01 haplotype in Norway is the highly conserved so-called autoimmune and ancestral
AH8.1 haplotype31 (C*07:01-B*08:01-DRB1*03:01-DQB1*02:01). This haplotype had reduced estimated fre-
quency in the patient group compared to the control group (8.2% vs. 10.3%, OR = 0.8, pnc = 0.06), albeit not
significantly. HLA risk allele carriers and clinical characteristics. Results
h The first
haplotype, C*07:04 - B*44:02, had an estimated frequency of 3.5% in the patient group and 1.7% in the control
group, resulting in an OR of 2.1 (95% CI 1.4–3.1, pnc = 0.0002). The second haplotype, B*57:01 - DQB1*03:03,
had an estimated frequency of 3.3% in the patient group and 2.0% in the control group, resulting in an OR of
1.7 (95% CI 1.1–2.5 pnc = 0.01). To further evaluate which allele on each of the two haplotypes represents the Scientific Reports | (2020) 10:5267 | https://doi.org/10.1038/s41598-020-62157-x www.nature.com/scientificreports/ HLA allele
ME/CFS, n (%)
Controls, n (%)
OR (95% CI)
pnc
pc*
C*07:04
33 (3.9)
172 (1.9)
2.1 (1.4–3.1)
0.0001
0.001
B*57:01
39 (4.6)
259 (2.9)
1.6 (1.2–2.3)
0.004
<0.05
DQB1*03:03
56 (6.6)
406 (4.5)
1.5 (1.1–2.0)
0.005
<0.05
B*44:02
105 (12.3)
904 (10.0)
1.3 (1.0–1.6)
0.03
0.3
B*08:01
83 (9.7)
1146 (12.7)
0.7 (0.6–0.9)
0.01
0.1
DPB1*02:01
78 (9.2)
1067 (11.8)
0.7 (0.6–1.0)
0.02
0.1 Table 2. HLA alleles showing association (pnc < 0.05) with ME/CFS in 426 patients and 4511 healthy controls. n = number of alleles. *Calculated by locus-wise Bonferroni multiple test correction. Table 2. HLA alleles showing association (pnc < 0.05) with ME/CFS in 426 patients and 4511 healthy controls. n = number of alleles. *Calculated by locus-wise Bonferroni multiple test correction. Figure 1. Illustration of Linkage disequilibrium (LD) calculated as D’ values in the patient group between the
four alleles with a significant association to ME/CFS. D’ measures the strength of LD between two alleles, and
ranges from −1 to 0 for negative LD, and from 0 to 1 for positive LD. The number in each square is the D’ value
between the two alleles listed diagonally above the square. Blue colors indicate the strength of LD, with darker
colors for stronger LD. Figure 1. Illustration of Linkage disequilibrium (LD) calculated as D’ values in the patient group between the
four alleles with a significant association to ME/CFS. D’ measures the strength of LD between two alleles, and
ranges from −1 to 0 for negative LD, and from 0 to 1 for positive LD. The number in each square is the D’ value
between the two alleles listed diagonally above the square. Blue colors indicate the strength of LD, with darker
colors for stronger LD. Results
h The proportion of individuals carrying the allele
C*07:04 was 7.7% in the patient group and 3.8% in the control group, while 12.7% of the patients and 8.7% of
the controls carried DQB1*03:03 (Supplementary Data Sheet S4). The proportion of individuals carrying one or
both of the two alleles was 19.2% in the patient group and 12.2% in the control group (OR 1.7, pnc = 0.00003, 95%
CI[1.3–2.2]). Table 3 shows the distribution of clinical characteristics in the patient group, including stratification
for C*07:04 and/or DQB1*03:03. Neither gender, initiating events, comorbidity of depression or fibromyalgia,
nor AID or ME/CFS among 1st degree relatives were associated with the risk alleles. However, ME/CFS patients
carrying one or both of the risk alleles had a significantly higher proportion of comorbid AID (OR = 2.3 [95%
CI 1.2–4.3], pnc = 0.01). Discussion
h In this project, we performed high resolution HLA genotyping by next generation sequencing (NGS) in 426 adult,
Norwegian ME/CFS patients, diagnosed according to the Canadian Consensus Criteria2. There are no previous
publications with comprehensive HLA genotyping by NGS in this patient group. We discovered two independent
HLA associations, tagged by the alleles HLA-C*07:04 and HLA-DQB1*03:03. gg
y
Q
To our knowledge, associations with HLA-C alleles have not previously been studied in ME/CFS. In 1994,
Keller et al. performed serologic HLA-DR and DQ typing in 110 patients with Chronic fatigue immune dysfunc-
tion syndrome (CFIDS)22. The patients were diagnosed with the Holmes Criteria32, and CFIDS was defined as a
subgroup with positive findings in viral reactivation patterns and B- and T-cell tests, indicating post-infectious
debut and a certain degree of immune dysfunction. The authors found a significant association (OR = 1.8) with
the serotype HLA-DQ3. Serologic HLA typing is of low resolution compared to genetic typing33. HLA-DQ3 cor-
responds to HLA-DQB1*03 in genetic nomenclature, where DQB1*03:03 is one of the three largest subgroups. Higher resolution HLA-DQB1 typing have been performed in two smaller cohorts (<58 patients), and even
though statistically not significant, DQB1*03:03 was observed slightly more frequent among CFS patients, diag-
nosed with the Fukuda criteria, than among controls23,25. Hence, the findings in existing literature is compatible
with the association between ME/CFS and DQB1*03:03 in our material.h Q
HLA-B*08:01 showed reduced frequency in ME/CFS compared to controls in our material. This allele most
often occur on the haplotype C*07:01-B*08:01-DRB1*03:01-DQB1*02:01, which was also less prevalent among
ME/CFS patients in our material. This ancestral haplotype, AH8.1, is a risk factor for a wide variety of AID,
including myasthenia gravis, systemic lupus erythematosus and coeliac disease31, but protective against rheuma-
toid arthritis34,35. In the existing literature on HLA and CFS, HLA-DRB1 is the locus most frequently studied. In
four out of five studies, the frequency of DR3/DRB1*03 was lower in the patient group23–25,28, while in the fifth
study the frequency was similar in both groups22. Hence, this haplotype seems truly less prevalent among ME/
CFS patients.ht p
Some HLA associations previously reported in CFS are not supported by our results27,29. The often cited
association with DQA1*01 reported by Smith et al.25 cannot be evaluated in our material since the HLA-DQA1
locus was not genotyped in the control group. Results
h The frequency of comorbid AID was significantly increased also when stratifying for Scientific Reports | (2020) 10:5267 | https://doi.org/10.1038/s41598-020-62157-x www.nature.com/scientificreports/ N (valid)
Total
DQB1*
03:03 +
DQB1*
03:03 -
pnc
OR (95%
CI)
C* 07:04 +
C*
07:04 -
pnc
OR (95%
CI)
C*07:04
+ and/or
DQB1*
03:03 +
C*07:04
- and
DQB1*
03:03 -
pnc
OR (95%
CI)
Gender: Female
424
351
(82.8%)
44
(81.5%)
307
(83.0%)
0.7
0.9
(0.4–1.8)
25 (75.8%)
326
(83.0%)
0.2
0.6
(0.3–1.3)
65
(79.3%)
286
(83.1%)
0.3
0.7
(0.4–1.3)
Symptom start
following infectious
episode
408
297
(72.8%)
41
(80.4%)
256
(71.7%)
0.2
1.6
(0.8–3.4)
18 (60.0%)
279
(73.8%)
0.1
0.5
(0.2–1.1)
56
(73.7%)
241
(72.6%)
0.8
1.0
(0.6–1.9)
Symptom start
following vaccination
407
64
(15.7%)
5 (9.8%)
59
(16.6%)
0.2
0.6
(0.2–1.4)
5 (16.7%)
59
(15.6%)
0.9
1.1
(0.4–3.0)
9 (11.8%)
55
(16.6%)
0.3
0.7
(0.3–1.4)
Previous or current
moderate to severe
depressive symptoms
407
39 (9.6%)
5 (9.8%)
34 (9.6%)
1.0
1.0
(0.4–2.8)
2 (6.7%)
37 (9.8%)
0.6
0.7
(0.2–2.9)
7 (9.2%)
32 (9.7%)
0.9
0.9
(0.4–2.2)
Comorbidity:
Fibromyalgia
408
34 (8.3%)
2 (3.9%)
32 (9.0%)
0.2
0.4
(0.1–1.8)
3 (10.0%)
31 (8.2%)
0.7
1.2
(0.4–4.3)
5 (6.6%)
29 (8.7%)
0.5
0.7
(0.3–2.0)
Comorbidity:
Autoimmune disease
405
58
(14.3%)
10
(20.0%)
48
(13.5%)
0.2
1.6
(0.8–3.4)
9 (30.0%)
49
(13.1%)
0.01
2.9
(1.2–6.6)
18
(24.0%)
40
(12.1%)
0.01
2.3
(1.2–4.3)
1st-degree relative
with autoimmune
disease
408
154
(37.7%)
24
(47.1%)
130
(36.4%)
0.1
1.5
(0.9–2.8)
7 (23.3%)
147
(38.9%)
0.1
0.5
(0.2–1.1)
30
(39.5%)
124
(37.3%)
0.7
1.1
(0.7–1.8)
1st-degree relative
with CFS/ME
403
59
(14.6%)
11
(22.0%)
48
(13.6%)
0.1
1.8
(0.9–3.7)
3 (10.0%)
56
(15.0%)
0.5
0.6
(0.2–2.1)
13
(17.3%)
46
(14.0%)
0.5
1.3
(0.7–2.5)
Table 3. Clinical characteristics of 426 ME/CFS patients: in total and stratified according to the presence of
either DQB1*03:03 or C*07:04 or both. Table 3. Clinical characteristics of 426 ME/CFS patients: in total and stratified according to the presence of
either DQB1*03:03 or C*07:04 or both. C*07:04 alone (OR = 2.9 [95% CI 1.2–6.6], pnc = 0.01), but not when stratifying for DQB1*03:03 alone (OR = 1.6
[95% CI 0.8–3.4], pnc = n.s.). These patients, carrying HLA risk alleles, had the following AID, ordered by fre-
quency: Hashimoto’s thyreoiditis/hypothyreosis, psoriasis, rheumatoid arthritis, alopecia areata and Crohn’s dis-
ease or ulcerative colitis. Results
h C*07:04 alone (OR = 2.9 [95% CI 1.2–6.6], pnc = 0.01), but not when stratifying for DQB1*03:03 alone (OR = 1.6
[95% CI 0.8–3.4], pnc = n.s.). These patients, carrying HLA risk alleles, had the following AID, ordered by fre-
quency: Hashimoto’s thyreoiditis/hypothyreosis, psoriasis, rheumatoid arthritis, alopecia areata and Crohn’s dis-
ease or ulcerative colitis. Scientific Reports | (2020) 10:5267 | https://doi.org/10.1038/s41598-020-62157-x Materials and Methodsh This study is approved by the Norwegian Regional Committees for Medical and Health Research Ethics45. All
methods and data handling were performed according to relevant national and institutional regulations and
guidelines. All patients gave informed consent. In three cases, written consent was given by a close relative due to
the patient being severely ill and unable to sign. A total of 426 adult, Norwegian ME/CFS patients were included. All had been diagnosed in Norway according to the 2003 Canadian Consensus Criteria2, except for four patients
where the similarly strict 2010 International Consensus Criteria3 were applied. There were three separate recruit-
ment groups for ME/CFS patients: 214 patients were recruited from recent and ongoing trials with Rituximab46,47
and Cyclophosphamide (Rekeland IG et al., submitted, NCT02444091); 116 patients were recruited from the
CFS/ME biobank at Oslo University Hospital; 96 patients were recruited via announcements in patient networks,
including patient organizations. Patients from the latter two groups were not included in clinical trials. Duplicates
within or between the three recruitment groups were excluded. All patients provided the identity of any 1st, 2nd
or 3rd degree relatives with ME/CFS, and we excluded close relatives to ensure that only one patient per extended
family was included. Norwegian ethnicity was ensured by evaluation of sur- and family names of all patients,
country of birth of parents and grandparents as well as self-perceived ethnicity. The control group consisted
of 4511 ethnically matched, healthy individuals drawn from the Norwegian Bone Marrow Donor Registry48. Clinical information was collected for the ME/CFS patients through questionnaires completed by patients or
close relatives. The categories applied in this study were gender, age at diagnosis, initiating events, disease dura-
tion and severity, comorbidities and family history. Most of the questions were based on the DePaul Symptom
Questionnaire49,50. Infection or vaccination as initiating event was self-reported, and in many cases, the time from
event to symptom debut was not specified. The disease severity was assessed with self-reported activity level dur-
ing the previous 6 months, as stated through the DePaul Symptom Questionnaire, question no. 79. HLA genotyping by next generation sequencing. In 426 ME/CFS patients, we performed high resolu-
tion, targeted, next generation sequencing (NGS) of HLA class I genes HLA -A, -B and -C and class II genes HLA
-DRB1, -DQB1, -DPB1, -DQA1. Discussion
h In our patient group, DQA1*01 occurred on haplotype with the
following DQB1 alleles, ordered by frequency: DQB1*06:02, DQB1*05:01, DQB1*06:03, DQB1*06:04 and
DQB1*05:03, and neither of these (pnc > 0.1, Supplementary Table S2), nor all combined (OR = 1.0, pnc = 0.6)
were associated with ME/CFS.h The present HLA study in ME/CFS is to our knowledge the largest performed to date (other studies comprise
≤ 110 CFS patients). Our study had 80% power to discover HLA-associations with OR ≥ 1.5 given an allele fre-
quency > 0.05. Interestingly, both C*07:04 and DQB1*03:03 remained significant after Bonferroni multiple test
correction. Notably, we performed locus-wise multiple test correction, i.e. correcting for the number of alleles
tested at each locus, since alleles at different HLA loci are in strong LD, and therefore do not represent independ-
ent tests. The Bonferroni method is considered a strict multiple test correction36, but on the other hand locus-wise
correction does not take into account the lack of complete LD between the investigated loci. Taken together, our Scientific Reports | (2020) 10:5267 | https://doi.org/10.1038/s41598-020-62157-x www.nature.com/scientificreports/ results need verification in independent cohorts. In general, established HLA associations are reproducible across
different populations, but susceptibility loci can also vary between populations20,21,37,38. Therefore, HLA associa-
tions in ME/CFS should also be investigated in populations of different ancestry.i results need verification in independent cohorts. In general, established HLA associations are reproducible across
different populations, but susceptibility loci can also vary between populations20,21,37,38. Therefore, HLA associa-
tions in ME/CFS should also be investigated in populations of different ancestry.i g
p pf
y
Both of the ME/CFS associations observed in our data set were evident at 2nd field resolution (i.e. C*07:04
and DQB1*03:03), which distinguishes alleles encoding amino acid differences. Interestingly, the other C*07 and
DQB1*03 alleles were not associated, emphasizing the importance of high resolution HLA genotyping. Q
p
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yp g
We report C*07:04 and DQB1*03:03 as tag alleles for two independent HLA risk associations in ME/CFS, as
these alleles are in linkage equilibrium (D’ = 0.06). However, they could still be markers for either one common,
or two independently associated, variants outside the loci tested in this study. Alternatively, the associated alleles
reported herein could constitute a functional relevance themselves. HLA class I alleles, like C*07:04, could influ-
ence disease risk through their interactions with CD8 positive cytotoxic T lymphocytes20,39. Discussion
h Disturbances in CD8
positive T lymphocytes have been reported in ME/CFS, although the results are somewhat conflicting10. Another
important function of HLA class I alleles is to serve as ligands for NK cell receptors. Altered numbers and func-
tion of NK cells have been reported by several independent researchers in ME/CFS14,15,40. The other associated
allele, DQB1*03:03, is an HLA class II allele, which is also interesting in regard to the hypothesis of autoimmun-
ity in ME/CFS. In certain well studied AID, associated HLA class II alleles have been shown to exhibit unique
peptide binding properties, as well as HLA-TCR restriction, directly influencing the acquired immune response,
e.g. with the production of specific auto-antibodies41. A dysregulated activity of CD4 positive T lymphocytes, the
principal cell type interfering with HLA class II alleles, have been discussed as a central mechanism in ME/CFS42. Several studies report increased levels of specific auto-antibodies in ME/CFS patients43, e.g. to neurotransmitter
receptors, although most of these lack verification in additional cohorts. p
gi
Another interesting question is whether these HLA associations are driven by subgroups of patients, and thereby
representing stronger risk alleles. This is a relevant aspect in a complex disease like ME/CFS, where different causal
mechanisms may be at play in different subgroups. In our study, ME/CFS patients carrying HLA risk alleles had a
significantly higher comorbidity of established AID. We are not aware of any publications reporting associations
between C*07:04 or DQB1*03:03 and the AID affecting some of our patients. Therefore, it is unlikely that the
associations in our material are driven by HLA associations with already established AID. Familial aggregation is
observed for many specific AID, as well as for autoimmunity in general44. 1st degree relatives of ME/CFS patients
in our study have a high prevalence of AID (Table 3). These observations could potentially be due to an element of
autoimmunity in ME/CFS, or within a subgroup. No other patient characteristics were dominant among the ME/
CFS patients with HLA risk alleles, specifically neither self-reported infectious onset nor current disease severity. It
can be argued that the lack of validity of self-reported data precludes the detection of possible subgroup identifiers.i g
y
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pi
In conclusion, we report novel HLA associations in a large cohort of ME/CFS patients fulfilling the Canadian
Consensus Criteria, thereby supporting the involvement of the immune system in the ME/CFS pathogenesis. Materials and Methodsh Amplification and library preparation were performed with kits from GenDx
(Utrecht, The Netherlands) and Illumina (San Diego, USA), 2 ×150 bp paired-end sequencing was performed by
The Norwegian Sequencing Centre with Illumina MiSeq Reagent Kit v2 (300-cycles), and HLA genotypes were
obtained by analyzing sequencing reads with NGSengine from GenDx, using the IMGT/HLA Database51. The
median sequencing depth was above 150 reads per called base. The 4511 healthy Norwegian controls had pre-
viously been HLA typed by NGS52. Both patient and control genotypes were analyzed at 2nd field resolution for
HLA -A, -B, -C, -DRB1, -DQB1 and -DPB1. HLA alleles can be genotyped at resolution level from 1st field to 4th
field. 2nd field resolution distinguishes alleles that encode amino acid differences, i.e. specific HLA proteins, and
is therefore of great biological relevance. The genotyping success exceeded 99% in the patient group and 99.9% Scientific Reports | (2020) 10:5267 | https://doi.org/10.1038/s41598-020-62157-x www.nature.com/scientificreports/ in the control group for all loci. In the control group, alleles were originally identified at a G group resolution,
and certain alleles from the patient group were therefore converted to avoid typing method bias (Supplementary
Table S5). )
Data analyses were performed in Unphased 3.0.10 and Pypop 0.7.053,54. Assessment of Hardy-Weinberg
equilibrium was performed with a chi-square test with a significance level of 0.05. Haplotype frequencies were
estimated with an expectation-maximization method for unknown gametic phase. Global associations for each
locus were calculated with a likelihood ratio test, with a rare allele frequency threshold of 0.01. Genetic associ-
ations were investigated on allelic and haplotypic levels, and ORs with 95% confidence intervals (95% CI) were
calculated with Woolf’s formula comprising Haldane’s correction. Risk allele ORs were calculated also with gen-
der stratification, and homogeneity tests were performed with the logit-based estimator. LD calculations and
Svejgaard tests were carried out to examine the degree of independence between the associated alleles55. The
LD measure D’ was calculated according to the formula D’ = D/Dmax, where Dmax = min [pA(1-pB), (1-pA)pB] for
D > 0, Dmax = min [pApB, (1-pA)(1-pB)] for D < 0, D is the standard mathematical definition of LD between alleles
A and B56, and p is the frequency of the stated allele. Because of the comparison of multiple allele frequencies we
performed locus-wise Bonferroni correction. Materials and Methodsh For each locus, non-corrected p-values were multiplied by the total
number of alleles detected at that locus, excluding alleles with a frequency less than 3% in both the control group
and the patient group. The significance level was 0.05. Only haplotypes consisting of associated alleles were inves-
tigated, and multiple test correction was therefore not applied on the haplotypic level. Investigation of clinical data. The clinical information was gathered separately for each of the three
recruitment groups, controlled in one common database, and exported to SPSS57 for statistical analyses. The
patient group was stratified according to the presence of specific HLA alleles, and eight dichotomized clinical
variables were assessed with OR calculation by binary logistic regression, and chi-square significance testing. References e e e ces
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Published: xx xx xxxx Published: xx xx xxxx Restrictions on the availability of material.
Individual genotypes of patients are not made available due
to Norwegian privacy regulations and laws. Restrictions on the availability of material. Individual genotypes of patients are not made available due
to Norwegian privacy regulations and laws. Received: 2 September 2019; Accepted: 3 March 2020;
Published: xx xx xxxx Received: 2 September 2019; Accepted: 3 March 2020;
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9. Mensah, F. K. F., Bansal, A. S., Ford, B. & Cambridge, G. Chronic fatigue syndrome and the immune system: Where are we now
Neurophysiologie clinique = Clinical neurophysiology 47 131–138 https://doi org/10 1016/j neucli 2017 02 002 (2017) p y
g
q
p y
gy
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(
)
20. Matzaraki, V., Kumar, V., Wijmenga, C. & Zhernakova, A. The MHC locus and genetic susceptibility to autoimmune and infectious
diseases. Genome biology 18, 76, https://doi.org/10.1186/s13059-017-1207-1 (2017). Scientific Reports | (2020) 10:5267 | https://doi.org/10.1038/s41598-020-62157-x www.nature.com/scientificreports/ 1. Lokki, M. L. & Paakkanen, R. Competing interests Competing interests
A.L., Ø.F., E.S., S.F., D.S., O.M., T.E., B.L. and M.V. all declare that they have no conflict of interest. O.S. is
member of EMECC - European M.E. Clinicians Council; otherwise he has no conflict of interest. Competing interests
A.L., Ø.F., E.S., S.F., D.S., O.M., T.E., B.L. and M.V. all declare that they have no conflict of interest. O.S. is
member of EMECC - European M.E. Clinicians Council; otherwise he has no conflict of interest. Acknowledgements g
We are very grateful to the patients who participated in the study, and we thank the Norwegian Bone Marrow
Donor Registry for access to controls. We would also like to express our gratitude to Kari Sørland and Kristin
Risa at Department of Oncology and Medical Physics, Haukeland University Hospital, Wenche Kristiansen and
Hilde Haukeland at the CFS/ME Biobank, Oslo University Hospital, and employees at the Norwegian Sequencing g
We are very grateful to the patients who participated in the study, and we thank the Norwegian Bone Marrow
Donor Registry for access to controls. We would also like to express our gratitude to Kari Sørland and Kristin Donor Registry for access to controls. We would also like to express our gratitude to Kari Sørland and Kristin
Risa at Department of Oncology and Medical Physics, Haukeland University Hospital, Wenche Kristiansen and
Hilde Haukeland at the CFS/ME Biobank, Oslo University Hospital, and employees at the Norwegian Sequencing Risa at Department of Oncology and Medical Physics, Haukeland University Hospital, Wenche Kristiansen and
Hilde Haukeland at the CFS/ME Biobank, Oslo University Hospital, and employees at the Norwegian Sequencing Scientific Reports | (2020) 10:5267 | https://doi.org/10.1038/s41598-020-62157-x www.nature.com/scientificreports/ Centre, University in Oslo and Oslo University Hospital. This study was funded by the Kavli Trust and the
Research Council of Norway. We express our deepest gratitude. The funders did not influence the research or the
manuscript in any way. Author contributions Ø.F., O.M., T.E., O.S., B.L. and M.V. initiated the project and applied for funding. A.L., Ø.F., E.S., D.S., O.M. and
M.V. recruited and included patients. A.L., S.F. and M.V. performed sample handling, laboratory work and HLA
genotyping. A.L. performed analyses and wrote the first draft of the manuscript. All authors participated in
editing the manuscript and approved the final draft. Additional information Supplementary information is available for this paper at https://doi.org/10.1038/s41598-020-62157-x. Correspondence and requests for materials should be addressed to A.L. Correspondence and requests for materials should be addressed to A.L. Reprints and permissions information is available at www.nature.com/reprints. Reprints and permissions information is available at www.nature.com/reprints. Reprints and permissions information is available at www.nature.com/reprints. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and
institutional affiliations. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and
institutional affiliations. Open Access This article is licensed under a Creative Commons Attribution 4.0 International
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Testing the effect of local macroeconomic indicators and global risk factors on the Turkish participation stock market: Evidence from quantile regression approach
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Trends in business and economics
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doi: 10.5152/TBE.2022.1018360 doi: 10.5152/TBE.2022.1018360 Research Article Araştırma Makalesi Geliş Tarihi/Received: 03.11.2021
Kabul Tarihi/Accepted: 25.03.2022 Geliş Tarihi/Received: 03.11.2021
Kabul Tarihi/Accepted: 25.03.2022 Sorumlu Yazar/Corresponding Author:
Amal ESSAYEM
E-mail: amal.essayem@ogr.sakarya.
edu.tr E-mail: amal.essayem@ogr.sakarya.
edu.tr Cite this article as: Essayem, A.,
Görmüş, Ş., & Güven, M. (2022). Testing
the effect of local macroeconomic
indicators and global risk factors on the
Turkish participation stock market:
Evidence from quantile regression
approach. Trends in Business and
Economics, 36(3), 258-267. Anahtar Kelimeler: Küresel risk faktörleri, lokal makroekonomik göstergeler, katılım endeksi,
kantil regresyon, Türkiye borsası Amal ESSAYEM1
Şakir GÖRMÜŞ2
Murat GÜVEN3 Lokal makroekonomik göstergelerin ve küresel
risk faktörlerinin Türkiye katılım endeksi üzerindeki
etkisinin test edilmesi: Kantil regresyon yaklaşımı 1Sakarya University, Social Sciences
Institute, Research Center for
Islamic Economics and Finance,
Sakarya, Turkey 2Department of Public Finance,
Sakarya University, Faculty of
Political Sciences, Sakarya, Turkey
3Department of Statistics, Sakarya
University, Faculty of Arts and
Sciences, Sakarya, Turkey ABSTRACT The purpose of this study is to investigate the effect of local macroeconomic indicators and global
risk factors on the participation index in the Turkish stock market from May 2011 to April 2021. Using the quantile regression approach, we detect the impact of local macroeconomic indicators
and global risk factors across different market conditions: bull, bear, and normal. The empirical
results demonstrate that, among local macroeconomic indicators, monetary policy-related indi-
cators, Consumer Price Index (CPI)(Slope of Government Bond [SGB]), merely influence partici-
pation 30 index (KAT30) return in bearish market (bullish market); however, credit default swap
negatively affects KAT30 return across all quantiles. When it comes to global risk factors, results
show that KAT30 return is negatively affected by the implied volatility index across all quantiles
except Q0.75 and Q0.95. This means that the implied volatility index impact on KAT30 return is
stronger during the bearish market. Yet, Oil Volatility Index (OVX) and Morgan Stanley Country
Index (MSCI) positively impact the index return across upper quantiles. Keywords: Global risk factors, local macroeconomic indicators, participation index, quantile
regression, Turkish stock market Cite this article as: Essayem, A.,
Görmüş, Ş., & Güven, M. (2022). Testing
the effect of local macroeconomic
indicators and global risk factors on the
Turkish participation stock market:
Evidence from quantile regression
approach. Trends in Business and
Economics, 36(3), 258-267. ÖZ Bu çalışmanın amacı, Mayıs 2011-Nisan 2021 döneminde Türkiye hisse senedi piyasasında lokal
makroekonomik göstergelerin ve küresel risk faktörlerinin katılım endeksi üzerindeki etki-
sini araştırmaktır. Kantil regresyon yaklaşımı kullanarak, lokal makroekonomik göstergelerin ve
küresel risk faktörlerinin düşen(bear), normal, yükselen(bull) piyasa koşullarındaki etkisini tespit
etmekteyiz. Ampirik sonuçlar, lokal makroekonomik göstergeler arasında para politikasıyla ilgili
göstergelerden CPI(SGB)’nin sadece düşüş piyasasında (yükseliş piyasası) KAT30'u etkilediğini
gösterirken, CDS tüm kantillerde KAT30'u negatif etkilemektedir. Küresel risk faktörleri söz
konusu olduğunda, sonuçlar KAT30'un Q0.75 ve Q0.95 dışındaki tüm kantillerde VIX'ten negatif
etkilendiğini göstermektedir. Bu durum, düşüş piyasasında VIX’in KAT30 üzerindeki etkisinin daha
güçlü olduğu göstermektedir. Bununla birlikte, OVX ve MSCI'nin etkisi, üst kantillerde pozitif ve
anlamlıdır. Introduction To the extent of our knowledge, there is no research investigat-
ing the impact of macroeconomic indicators and global risk fac-
tors (GRF) on the participation of the stock index in Turkey. We
extend two empirical works, which are related to our paper. Nai-
far (2016) examines the co-movement along with the impact of
macroeconomic indicators, risk factors, and global financial mar-
ket conditions on the global Islamic stock market indices. Bahloul
and Ben Amor (2020) explore the effect of local macroeconomic
indicators (LMIs) with global factors on the Middle East and North
African (MENA) region stock returns (SR hereinafter). Hence, our
study probes the effect of global and LMI on the Turkish participa-
tion index by employing the quantile regression approach (QR-A)
for monthly data from April 2011 to April 2021. The contribution of this study is four-fold. First, we check the
effect of LMI and GRF on the participation index in the Turkish
stock market. Second, using QR-A, we detect the impact of local
and global factors across different market conditions: bull, bear,
and normal. Third, looking for the relationship between MSCI
Global and the Participation index, we check for potential diversi-
fication opportunities. Fourth, we use the lagged oil price volatil-
ity index, which has not been used in the existing state of the art
on Islamic equity return dynamics. To this extent, we should mention that the existence of shariah-
compliant stock market indices gives religiously conscious inves-
tors an alternative investment scheme in line with the Shariah
principles and conventional investors a diversification invest-
ment opportunity (Arshad et al., 2013; Fatima et al., 2019; Jawadi
et al., 2018; Usman et al., 2019). The rest of the study is structured as follows: the second section
presents the theoretical framework and the existing literature. The third section illustrates the quantile regression methodology
and the fourth section illustrates data and preliminary statistics. The fifth and sixth sections provide estimation results and the
discussion and the conclusion, respectively. According to The Capital Asset Pricing Model (CAPM), systematic
risk factors have an effect on stock market returns. In fact, quan-
tifying systemic risk in emerging stock markets is challenging
since they are passing through a process of financial integration
which makes them exposed to a set of local and global factors. Therefore, we need to consider these factors to correctly esti-
mate stock market returns (Bahloul & Ben Amor, 2021). Introduction Content of this journal is licensed
under a Creative Commons
Attribution 4.0
International License. Content of this journal is licensed
under a Creative Commons
Attribution 4.0
International License. For the last couple of years, the Islamic capital market has been under the spotlight. It has been gaining
momentum in both academia and the financial industry. This rapid growth of the Islamic stock market 259 Naifar, 2016). Yet, these studies intend to study the global partici-
pation indices and do not provide country-specific implications. Naifar, 2016). Yet, these studies intend to study the global partici-
pation indices and do not provide country-specific implications. accompanied by the increasing concern of religiously conscious
investors to invest according to the norms of shariah motivated
investors to shift their funds to markets providing participation
(Islamic) indices. Over the last decade, the Turkish stock market
has been experiencing exponential growth in shariah-compliant
investments and continues to grow at a steady pace (Bayram &
Abdullah Othman, 2019). The literature related to participation indices has two shortcom-
ings. First, global factors have not been incorporated in studies
related to the Turkish participation index. Second, previous stud-
ies only investigate average dependence without considering
extreme market conditions. For instance, in 2011, the Participation 30 Index was launched by
the Turkish stock market. This index includes shares of the top 30
companies with the highest public market capitalization traded
at Borsa Istanbul, which is at the same time shariah compliant. Participation indices in Turkey, like all Islamic Market indices, have
been formed according to certain rules. Generally, Islamic indi-
ces construction is based on Shariah screening detailed in stan-
dard 21 published by The Accounting and Auditing Organization
for Islamic Financial Institutions (AAOIFI). This means that listed
companies are strictly banned from investing in projects involv-
ing interest-based activities, alcohol, gambling, pork, entertain-
ment, etc. Moreover, companies are required to respect some
financial ratios to fulfill the shariah screening requirements. Both
the ratio of total interest-bearing debt of companies to market
capitalization and the ratio of interest-taking deposits and secu-
rities to market capitalization must be lower than 30%, while the
ratio of income from illicit projects stated above to global income
must be less than 5% (AAOIFI, 2015). Introduction Although
the Islamic stock market has been known for being decoupled
from the conventional market because of the strict compliance
rules, literature shows that it is integrated with the global market
(Balcilar et al., 2015). Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360 Stock Returns and Global Risk Factorsi Since the 2008 financial crisis, the correlation between the SR
around the world has increased revealing the existence of conta-
gion effects (Haddad et al., 2020). Taking into consideration the
changes in stock market linkages studies, recent studies start
to rely heavily on GRF to detect dependencies and shed light on
international diversification opportunities (Bahloul & Ben Amor,
2021; Balcilar et al., 2015; Haddad et al., 2020; Hammoudeh et al.,
2014; Lin & Su, 2020; Naifar 2016; Yarovaya et al., 2021). For instance, the impact of inflation on SR has been documented
by Fisher (1930) stating that there is a positive link between infla-
tion and stock market. However, Fama (1990) states that infla-
tion negatively impacts SR arguing that the inflation harms real
economic activity. Naifar (2016) investigates the impact of local
and GRF on the Global Dow Jones Islamic index by applying quan-
tile regression model for the period between January 2003 and
October 2014. Results indicate that inflation impacts Islamic
stock return for the intermediate and upper quantiles; yet, it was
insignificant for lower quantiles. Bahloul and Ben Amor (2020)
conduct similar research for MENA countries for the period from
January 2007 to January 2018 using quantile regression. Their
study finds a negative relationship between inflation and stock
performance for lower quantiles for most MENA countries. Among the commonly used global factors, the implied volatility
index (VIX) is a proxy to quantify stock market uncertainty. Robert
Whaley, the founder of VIX, argues that the VIX increases during
market turmoil. If the expected VIX increases (decreases), inves-
tors expect higher (lower) returns (Whaley, 2009). Moreover, VIX
index is computed employing the implied volatilities on S&P 500
index options (SPX). The index stands for the market’s expec-
tation of the S&P 500 index’s 30-day future volatility. When it
comes to its influence on SR, VIX impact can be explained as
follows: when option premiums are high, the expected future
volatility rises, and investor’s fear increases which will cause
a decrease in equity index return (Naifar, 2016). Nevertheless,
empirical studies present different results regarding this matter
for the Islamic Equity market. Hadad et al. (2020) investigate the
time-varying impact of GRF on the return of Islamic indices and
volatility spillovers for seven DJIM from April 2003 to November
2018. They found that the seven DJIM stock indices are weakly
associated with the movement of global risk factors. Literature Review According to the CAPM, the link between stock’s expected
returns and systematic risk factors is predictable. The model sug-
gests that market integration implies that the return of assets
belonging to the same class is supposed to be similar, disregard-
ing the transaction’s location. Thus, it is required to identify the
link between the expected returns and the affiliated risks in order
to determine potential excess returns that the investor might
gain. As mentioned above, studies have been examining the connection
between the Islamic stock market and its conventional counter-
part. The literature conglomerates a set of researchers studying
a wide range of subjects. Several studies have been focusing on
the risk–return analysis and comparison to determine the exist-
ing link between diversification opportunities and performance
of the Islamic financial market focusing on its performance com-
pared to the conventional market pre-, throughout, and/or post-
financial crisis or checking the decoupling hypothesis (Ahmed &
Farooq, 2018; Ali et al., 2018; Al-Khazali et al., 2014; Aloui et al.,
2016; Camgöz et al., 2019; Paltrinieri et al., 2019; Safiullah &
Shamsuddin, 2021; Trabelsi & Naifar, 2017). A different set of stud-
ies highlight the determinants affecting the Islamic stock market
(Chau et al., 2014; Dewandaru et al., 2014). The recent state of the
art examines the dynamics of Islamic equity indices and provides
empirical results for the dependence structure and the co-move-
ment between global risk factors, local risk factors, and Islamic
stock indices (Haddad et al., 2020; Hammoudeh et al., 2014; Having said that, quantifying risk in emerging stock markets is
much more complicated. Bekaert and Harvey (1995) state that
the majority of emerging markets are comparatively segmented. In addition, Guesmi and Nguyen (2011) argue that despite the
general increase in their integration level overtime, the emerging
markets are characterized by a higher segmentation from the
global market. This means that financial markets follow a gradual integration
process. Thus, investors face both GRF and local risk factors. In
this regard, expected returns are captured by analyzing both
global and local risk factors. Thus, the level of financial integration
of an emerging stock market is explained by its related local and
GRF (Bahloul & Ben Amor, 2021). 1 Please check Table 1 for Literature review summary. Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360 Literature Review Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360 Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360 260 predictor of future recession in the real economy (Estrella & Mish-
kin, 1998). This is elucidated by the expectation theory of interest
rate term structure which states that a long-term rate is in fact a
term premium plus the mean of future values of short-term (ST)
interest rates. If investors expect a market downturn, the future
values of ST rate would decrease as economic agents expect a
relaxed monetary policy. This means that the expectation of lower
future ST interest rates reduces longer-term rates. Hence, the
term spread increases. Bhaduri and Saraogi (2010) examine the
link between the yield spread and Indian SR by employing data
from May 1996 to May 2008. They conclude that the yield spread
can accurately identify entry and exit points for the Indian stock
market. Resnick and Shoesmith (2002) also find similar results
for the US stock market. Moreover, Naifar (2016) states that while
ST interest rates are governed by central banks, LT interest rates
depend on market forces, and the slope of the term structure can
track embedded term risk premiums. Thus, this spread is con-
sidered the tracker of investors’ compensation for bearing inter-
est rate risk. Naifar (2016)’s empirical results show a positive link
between the slope of the yield curve and DJIMI returns. Yet, the Islamic stock markets are frequently decoupled from
the conventional stock market due to the tight constraints
on the former. The core of this dichotomy lies in the rules that
stipulate Islamic investments code (Balcilar et al., 2015). In fact,
Islamic indices are designed to meet shariah requirements, and
the funds’ management is heavily regulated to eliminate market
manipulations and price gouging (Ho et al., 2014). However, globalization and the recurrent re-structuring of the
financial markets usher in the reshaping of the international
financial market (Delle Foglie & Panetta, 2020). This might raise
the question of whether the Islamic financial markets dynamic is
interlinked with the conventional market conditions or indepen-
dently moving. Our study aims to answer the following questions:
Do global macroeconomic indicators and GRF affect the Turkish
participation in SR? Does participation in stock market indices
provide an alternative investment scheme, considering the par-
ticular impact of emerging market integration on portfolio diver-
sification and hedging strategies?1 Stock Returns and Local Macroeconomic Indicators The impact of macroeconomic factors on stock market dynam-
ics is a well-documented subject in the literature. Most studies
present empirical evidence for the impact of common macro-
economic indicators, especially monetary policy indicators on SR
(Fama, 1981, 1990; Mun, 2012; Fama, 1990; Murthy et al., 2016). Stock Returns and Global Risk Factorsi (2021) study the effect
of gold, oil, bitcoin, VIX, and economic policy uncertainty (EPU)
indices on the return of Islamic and conventional stock market
during the coronavirus disease-2019 pandemic outbreak using
the Vector Autoregressive Moving Average-Baba Engel, Kraft &
Kroner-Asymmetric Generalized Conditional Heteroscedastic-
ity (VARMA-BEKK-AGARCH) approach on daily data from April 11,
2019, to May 4, 2020. The study shows a negative link between the
returns of the Islamic stock market and the VIX. However, Hadad
et al. (2020) show that Islamic equity markets are known for lower
sensitivity to global risk shocks including VIX shocks. This result
supports the claim stating that sharia-compliant assets have a
higher resilience to prevalent risk shocks. In addition, Banerjee
et al. (2007) and Giot (2005) found a positive link between stock
market performance and VIX arguing that an increased VIX index
reflects an oversold market. a negative relationship between oil prices and SR (Driesprong
et al., 2008; Filis, 2010; Kling, 1985; Sadorsky, 1999), recent
papers found a positive relationship (Narayan & Narayan, 2010;
Zhu et al., 2016). A different strand of the literature analyzes the
linkage between crude oil and Islamic indices (Chang et al., 2020;
Ftiti & Hadhri, 2018; Ghorbel et al., 2014; Mezghani & Boujelbène,
2018). Chang et al. (2020) studied the asymmetric effects of
oil price on the DJIM and 10 sectorial stock indices by applying
quantile-on-quantile approach using daily data over the period
January 1996 to April 2019. They found that lower/upper quan-
tiles of oil prices negatively impact the upper/lower quantiles of
the DJIM. A similar study by Lin and Su (2020) found a negative
link between oil market uncertainty and Islamic SR, especially
when the Islamic stock market is bearish (low quantiles), using
a quantile-on-quantile approach. Their results are in line with
the findings of Yarovaya et al. (2021). However, Jawad et al. (2018)
analyzed the link between Islamic stock markets and oil prices. They used a copula approach and three derivations of the value
at risk measure: Conditional Value at Risk (CoVaR), Delta CoVaR,
and VaR. Their results show a positive dependence between
oil prices and Islamic SR. This is in line with the study by Naifar
(2016) and Hammoudeh et al. (2014). Another common global risk factor is the EPU. Economic pol-
icy uncertainty is a US news-based uncertainty index that has
become a trending factor used in recent studies. Turkish Stock Returns and Local Macroeconomic Indicators–
Global Risk Factors Regarding the Turkish context, few studies have analyzed the
effect of local and global factors on the Turkish stock market. Çonkir et al. (2021) analyzed the effect of the VIX index on The
Borsa Istanbul Index (BIST) 30 by applying the Granger causality
test and VAR model using monthly data from 2015 to 2019. They
found one-way causality between VIX and BIST 30. A similar result
has been found by Kaya and Coşkun (2015) who applied Granger
causality and regression analysis on daily data from 1995 to 2014. They conclude that VIX negatively affects BIST 100. In addition,
Kaya (2015) checks for the cointegration between BIST 100 and
VIX using daily data for the period from 2009 to 2013. He con-
cludes that a long-term relationship exists between the BIST 100
and VIX. This is in line with the results of Öner, İçellioğlu, and Öner
(2018) finding a one-way relationship of the long and short hori-
zons between VIX and BIST 100. Furthermore, Tursoy and Faisal
(2018) investigate the long- and short-term dynamics between
Turkish stock prices, gold prices, and crude oil prices by applying
Autoregressive Distributed Lag Model (ARDL) model to monthly
data from January 1986 to November 2016. Their results show
that a positive link exists between crude oil and stock prices. In
addition, Erdoğan et al. (2021) use the Nonlinear Autoregressive
Distributed Lag Model (NARDL) framework to look at the short-
run and long-run asymmetric effects of risk factors on SR in Tur-
key using data from 1997 to 2020. Their results show that the
Turkish stock market is more reactive to bad news transmitted/
channeled through global factors than those transmitted by local
macroeconomic variables. They claim that an increase in EPU One of the prominent GRF in the literature is oil price. The grow-
ing financialization of oil price has made it a key factor in portfolio
strategies (Lin & Su, 2020). Henriques and Sadorsky (2011) state
that financial characteristics of oil price cause extreme fluctua-
tions. Thus, oil price volatility is one of the important variables
when constructing a portfolio strategy. According to the theory
of equity valuation, the stock price is considered as an aggregate
of the discounted values of expected future cash flows regard-
ing distinct investment perspectives. Stock Returns and Global Risk Factorsi Economic
policy uncertainty is perceived as a proxy for the expectations
of investors with regard to U.S. government’s future response to
economic problems (Liang et al., 2020). The empirical literature
shows that EPU has a considerable impact on stock return. From
the theoretical perspective, it has been stated that EPU has a
negative impact on the SR (Liang et al., 2020). However, empiri-
cal results have been divergent, while Christou et al. (2017),
Donadelli (2015), and Lean and Nguyen (2014) indicate a positive
linkage between EPU and SR. Brogaard and Detzel (2015), Kang
et al. (2016), and Bahloul and Ben Amor (2020) found a negative
linkage. When it comes to Islamic stock indices, Hammoudeh
et al. (2016) analyzed the impact of US federal funds rates and
EPU on the indices of the Islamic, US, European, and Asian stock
markets using the Structural Vector Error Correction Model
(SVEC) and the Structural Vector Autoregressive Model (SVAR)
models on daily data from 1999 to 2013. They found a negative
impact of EPU on all indices. Their result is in line with Yarovaya
et al. (2021). However, Hammoudeh et al. (2014), Nazlioglu et al. (2015), and Ftiti and Hadhri (2018) found that Islamic SR are
unaffected by EPU shocks. The MSCI world index is employed as an estimator to check for
the integration of the local stock market with the global stock
market. Jouini (2013) investigates the effect of MSCI on SR of Gulf
Cooperation Council (GCC) countries. He used the VAR and the
VEC models using weekly data from 2005 to 2008 and found a
positive link between MSCI and Bahrain, Kuwait, and Oman mar-
kets. Yet, he found that MSCI negatively affects Saudi Arabia,
Qatar, and UAE markets. Bahloul and Ben Amor (2020) found a
positive link between SR and MSCI for MENA countries decreas-
ing from lower to upper quantiles. Stock Returns and Global Risk Factorsi Another local indicator affecting the SR is the country’s specific
credit default swap (CDS). Coronado, Corzo, and Lazcano (2012)
state that credit risk information is embedded in the asset’s pay-
off. They explain that if countries dedicate a large sum of their
income to external debt, governments will dedicate a lower sum for
investment that will affect value creation in the economy and sub-
sequently, its future growth. In this case, consumption and invest-
ment decrease, leading to lower revenue for companies, which
will negatively affect their stock prices and thus the returns. Nai-
far (2016) finds that the US sovereign 5-year CDS index positively
affects Dow Jones Islamic Market Index (DJIMI) returns among
quantiles throughout and post the global financial crisis. Han et al. (2017) investigate the relationship between equity market and
credit market taking into consideration the information embedded
in the slope of credit spread, the latter proxied by the firm’s CDS
term structure using monthly data of 776 US-based firms between
August 2002 and December 2012. Their results show that the
slope of the CDS negatively affects cross-sectional SR. Paltrinieri et al. (2018) investigate the repercussions of oil prices
and VIX index on 17 socially responsible investment, conven-
tional, and Islamic stock indices using DCC (Dynamic conditional
correlation)-GARCH model for the period 2005–2015. They found
a negative linkage between the VIX on both conventional and
Islamic index. Their findings are similar to those of Naifar (2016),
who mentioned that the DJIM index returns and VIX index pres-
ent an asymmetric correlated movement (trend) as the degree
of dependence increases during a bullish market, yet depen-
dence weakens during a bearish market. Furthermore, Ham-
moudeh et al. (2014) analyze the relationship between the DJIM
and global equity indices of the United States, Asia, and Europe To predict future real economic activity, the term structure
is used. In fact, the term spread is considered an important 261 by applying a copula approach to data between January 4, 1999,
and July 22, 2013. Authors employ a set of risk factors such as VIX
and oil. Their results reveal a negative link between the DJIM and
each of the VIX. Moreover, Yarayova et al. Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360 Data Description and Preliminary Statistics The data set employed in this study consists of the monthly data
for the Turkish participation stock index returns represented
by (KAT30) for the period from April 2011 to April 2021. Prior to
2011, some of the data were missing; furthermore, the period is
a decade characterized by the European debt crisis (the crisis
peaked between 2010 and 2012) and drastic political changes
and volatility in the region—for instance the Arab Spring—that
caused the decline of the stock markets. This period reflects the
impact of these crises on the dynamics of the Turkish stock mar-
ket return over time. In this model, i and j denote the LMI and global risk factors. α0
and εt indicate intercept and disturbance. βi represents the
sensitivity of the participation index return in the Turkish stock
market to the ith LMI and δ j shows the sensitivity of the partici-
pation index return in the Turkish stock market to the jth global
risk factors. We provided the description of the variables as follows: PIRt: Participation index return in the Turkish stock market at
time t; PIRt: Participation index return in the Turkish stock market at
time t; For local factors, we employed three macroeconomic indicators
which are inflation rate (CPI), sovereign credit risk (CDS), and the
term structure slope (SGB). SGB shows the difference between Tur-
key’s 10-year Treasury bond rates and 3-year Treasury bond rates. LMIt: The realization of the ith LMI in Turkey at time t; LMIt: The realization of the ith LMI in Turkey at time t; GRFt: The realization of the jth GRF in Turkey at time t. GRFt: The realization of the jth GRF in Turkey at time t. For global factors, we utilized the US VIX, EPU, MSCI world index,
and the CBOE oil volatility index OVX.2 To estimate this model, we used the quantile regression model
developed by Koenker and Bassett (1978). The QR-A differs from
OLS since it considers not only the mean value but also extreme
values in a data set. Therefore, QR-A presents a broad relationship
between regressed and regressors in a regression model (Koen-
ker, 2005). In Table 2, we provide the preliminary statistics of the variables. Table 2 shows that KAT30 presents a mean of 2192,23 points
and a standard deviation of 410,25 points. Turkish Stock Returns and Local Macroeconomic Indicators–
Global Risk Factors This means that the stock
price incorporates a set of macroeconomic events and indica-
tors, such as inflation, market participants’ trust, and oil shock
(Hedi Arouri & Khuong Nguyen, 2010; Jouini, 2013). Furthermore,
volatile oil prices may cause a low-risk premium, which might
negatively affect cash flows and thus SR (Chang et al., 2020). To
put it in a nutshell, the fluctuations in the oil market may pass
to the stock market by affecting investors’ expectations as the
oil market can mirror the situation of the global economy (Liu &
Chen, 2017; Zhu et al., 2016). Under the conventional stock mar-
ket, mixed results have been found. While previous papers found 262 τth conditional quantile of the dependent variable y. Therefore,
if the values of
( ) remain the same among the quantiles, the
structure of dependence is named to be constant. If these val-
ues increase/decrease among the quantiles, the structure of
dependence is named to be increasing/decreasing. If these val-
ues become similar/dissimilar for high and low quantiles, the
structure of dependence is named to be symmetric/asymmetric
(Koenker, 2005; Naifar, 2016). It is also noted that there is condi
tional/unconditional dependency if there is an exogenous/no
exogenous variable in x. depresses real SR and an increase in oil price leads to a decrease
in the SR. Lin and Su (2020) analyzed the relationship between
the Islamic stock market and oil market uncertainty (OVX) by
applying quantile-on-quantile approach to four countries includ-
ing Turkey using daily data from 2013 to 2019. They conclude that
OVX variations impact asymmetrically the Turkish participation
index. They found that the estimated coefficients are negative. As shown above, none of the previous studies has analyzed the
impact of local and GRF on the Turkish participation SR across the
changing market conditions. For a given τ, the coefficients of independent variable x can
be obtained by minimizing the weighted absolute difference
between dependent variable y and independent variable x as: Methodology Following Bahloul and Ben Amor (2021) and Naifar (2016), we
analyzed the relative effect of LMI and GRF on the participation
index return. For this purpose, we used the following model. ˆ( )
argmin
(
)
( )
( )
1
1
y
n
n
n
x
n
n
Y
x PIR
LMI
GRF
t
i
i
N
it
j
j
M
jt
t
0
1
1
(1) (1) Data Description and Preliminary Statistics The world index (MSCI)
records the highest average compared to the rest of the vari-
ables (43864,73), with the highest standard deviation (8515,01). A positive skewness characterizes our data set. The kurtosis sta-
tistic exceeds 3 (except for MSCI), with SGB and OVX scoring the
highest kurtosis levels. The Jarque–Bera test shows that the null
hypothesis is rejected for most series (except for KAT30), which
means that the distribution is not normal. The quantile regression by Koenker and Bassett (1978) is shown as: The quantile regression by Koenker and Bassett (1978) is shown as: Q
x
x
y( )
( )
(2) (2) In this model, it is assumed that the dependent variable y is lin-
early dependent on x. Q
x
y( )
τ indicates the conditional quantile
of y. In this model, it is assumed that the dependent variable y is lin-
early dependent on x. Q
x
y( )
τ indicates the conditional quantile
of y. Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360 MSCI, VIX, and EPU data are collected from DataStream, yahoo finance, and economicuncertainty.com, respectively. The rest of the Results We applied QR-A to capture the dynamics of KAT30 among all
the quantiles. For this purpose, we first controlled the stationarity
of the variables using unit root tests: Augmented Dickey–Fuller
(ADF) test by Dickey and Fuller (1979) and Philips–Perron (PP) test
by Phillips and Perron (1988). Table 3 and Table 4 show the unit
root test results. Augmented Dickey–Fuller and PP indicate the
rejection of the null hypothesis of the unit root for all variables at
level except for KAT 30, CPI, EPU, and CDS which are stationary
at the first difference. These results present that all variables are
stationary (at different levels). We estimated our model by apply-
ing a quantile regression model. Q
x
a
F a
x
x
y
y
k
k
k
( )
inf
( / )
( )
(3) (3) The dependent variable y has a conditional probability distribu-
tion function on x denoted by F a
x
y( / ) . In our study, we use LMI
(CPI, SGB, CDS) and GRF (EPU, VIX, MSCI, OVX) to identify the
determinants of participation index return (KAT30) in the Turkish
stock market. We investigated KAT30 among the seven quantiles
(0.05, 0.1, 0.25., 0.5, 0.75, 0.90, 0.95). For the quantile regression
model,
( ) quantifies the degree of dependence between x and The dependent variable y has a conditional probability distribu-
tion function on x denoted by F a
x
y( / ) . In our study, we use LMI
(CPI, SGB, CDS) and GRF (EPU, VIX, MSCI, OVX) to identify the
determinants of participation index return (KAT30) in the Turkish
stock market. We investigated KAT30 among the seven quantiles
(0.05, 0.1, 0.25., 0.5, 0.75, 0.90, 0.95). For the quantile regression
model,
( ) quantifies the degree of dependence between x and Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360 263 Table 1. Literature Review Matrix
Reference
Market
Methodology
Result
Naifar (2016)
Global
Quantile regression
Inflation impacts Islamic stock return of the intermediate and
upper quantiles
Bahloul and Ben Amor (2020)
MENA countries
Quantile regression
Negative relationship between inflation and stock performance
for lower quantiles
Naifar (2016)
Global
Quantile regression
The U.S. sovereign 5-year CDS index positively affects Dow Jones
Islamic Market Index (DJIMI)
Han et al. Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360 Results (2017)
United States
A combination of empirical methods
The slope of the CDS negatively affects cross-sectional SR
Naifar (2016)
Global
Quantile regression
Positive link between the slope of the yield spread and DJIMI
returns
Paltrinieri et al. (2018)
Asia-Pacific, Europe, the
United States, UAE
DCC-GGARCH model
Negative linkage between the implied volatility index (VIX) on
both conventional and Islamic index
Naifar (2016)
Global
Quantile regression
Negative link between the VIX and DJIMI returns
Hammoudeh et al. (2014)
United States, Asia, and
Europe
Copula approach
Negative link between the DJIM and each of the VIX
Yarovaya et al. (2021)
Global
VARMA-BEKK-AGARCH approach
Negative link between the returns of Islamic stock market and the
VIX
Hammoudeh, et al. (2016)
United States, Europe, and
Asia
SVEC and SVAR models
Negative impact of EPU on all indices
Reference
Market
Methodology
Result
Chang et al. (2020)
Global
Quantile-on-quantile approach
Lower/upper quantiles of oil prices negatively impact the upper/
lower quantiles of the DJIM
Lin and Su (2020)
Canada, Japan, Turkey, and
Kuwait
Quantile-on-quantile approach
Negative link between oil market uncertainty and Islamic SR
Yarovaya et al. (2021)
Global
VARMA-BEKK-AGARCH approach
Negative link between oil market uncertainty and Islamic SR
Jouini (2013)
GCC countries
VAR and the VEC models
*Positive link between MSCI and Bahrain, Kuwait, and Oman
markets
*MSCI negatively affects Saudi Arabia, Qatar, and UAE markets
Bahloul and Ben Amor (2020)
MENA
Quantile regression
Positive link between SR and MSCI for MENA countries
decreasing from lower to upper quantiles
Tursoy and Faisal (2018)
Turkey
ARDL framework
Positive link exists between crude oil and stock prices
Erdoğan et al. (2021)
Turkey
NARDL framework
Increasing EPU depresses real SR and an increase in oil price
leads to a decrease in the SR
Lin and Su (2020)
Canada, Japan, Turkey, and
Kuwait
Quantile-on-quantile approach
OVX negatively impacts the Turkish participation index
Note: MENA = Middle East and North African; CDS = credit default swap; VIX = implied volatility index; EPU = economic policy uncertainity. Table 5 presents the quantile regression results and illustrates
the effect of local and global factors on the bearish market
(Q0.05, Q0.1, Q0.25), normal (Q0.5), and the Bullish market (Q0.75,
Q 0.9, Q0.95) (see Kangalli Uyar et al., 2021; Naifar, 2016; Zhu
et al., 2016). Results Table 5 presents the quantile regression results and illustrates
the effect of local and global factors on the bearish market
(Q0.05, Q0.1, Q0.25), normal (Q0.5), and the Bullish market (Q0.75,
Q 0.9, Q0.95) (see Kangalli Uyar et al., 2021; Naifar, 2016; Zhu
et al., 2016). For the local factors, we noticed that CPI does not affect KAT30
except for the last quantile of the bearish market (Q 0.25). Credit
default swap negatively affects KAT30 across all quantiles as
expected except for Q0.75. This result indicates that CDS nega-
tively affects KAT30 across bearish market’s quantiles. When it Table 2. Preliminary Statistics
KAT30
CPI
EPU
MSCI
CDS
SGB
VIX
OVX
Mean
929.49
10.63
2.02
43864.73
−10.82
236.61
17.96
36.41
Median
798.91
9
1.60
42327.50
−12.09
−0.29
16.01
32.44
Maximum
2379.9
25
9.90
67329.00
3.08
9468.26
53.54
170.55
Minimum
490.05
6
1.70
28064.00
−18.96
−5.01
9.51
15.61
Standard
deviation
410.25
4.08
1.87
8515.01
5.27
1484.38
7.17
18.08
Skewness
2.01
1.50
2.98
0.42
1.02
6.08
2.10
3.98
Kurtosis
7.13
4.97
12.40
2.79
3.42
38.02
8.65
27.90
Jarque-Bera
166.98
64.74***
620.35***
3.85***
21.75***
6874.42**
248.35***
3418.04***
*** indicate 1% level of significance. 264 Table 3. Unit Root Tests Results at level
ADF
PP
KAT30
0.85
0.24
CPI
−2.97
−2.64
EPU
−9.29***
−9.36***
MSCI
−7.61***
−8.46***
CDS
−2.42
−2.30
SGB
−4.43***
−8.13***
VIX
−4.48***
−4.48***
OVX
−4.87***
−4.81***
** and *** indicate 5% and 1% level of significance, respectively. Note: ADF = Augmented Dickey–Fuller; PP = Philips–Perron; EPU = economic
policy uncertainity; CDS = credit default swap; VIX = implied volatility index;
KAT30 = participation index 30; CPI = consumer price index; MSCI = world index,
Morgan Stanley country index; SGB = Term structure slope; OVX = Oil volatility
index. Table 4. Unit Root Tests Results at First Difference
ADF
PP
ΔKAT30
−3.04**
−10.60***
ΔCPI
−8.09***
−8.78***
ΔEPU
−8.79***
−62.37***
ΔMSCI
−1.59***
−4.65***
ΔCDS
−11.42***
−13.12***
ΔSGB
−13.02***
−33.33***
ΔVIX
−9.82***
−18.94***
ΔOVX
−12.24***
−34.67***
** and *** indicate 5% and 1% level of significance, respectively. Note: ADF = Augmented Dickey–Fuller; PP = Philips–Perron; EPU = economic
policy uncertainity; CDS = credit default swap; VIX = implied volatility index. When it comes to global factors, results show that for most quan-
tiles, VIX has a negative impact on KAT30 as expected except for
Q 0.75 and Q 0.95. Discussion and Conclusion This study analyzes the effect of LMI and GRF on the participation
stock index in Turkey, using monthly data from May 2011 to April
2021. There is a wide set of research that analyzes the effect of
LMI and GRF on the Turkish stock market. Yet, there are no stud-
ies investigating the effect of LMI and GRF on Turkish participa-
tion indices. The motivation of this study arises from this gap in
the literature. This study bridges the gap in the empirical litera-
ture by analyzing the effect of local macroeconomic and GRF on
the Turkish participation index KAT30 returns using a quantile
regression method to study, first, dependencies between KAT30
and risk factors, second, to examine the integration of the Turk-
ish stock market, and third, to check for potential diversification
opportunities. Table 4. Unit Root Tests Results at First Difference
ADF
PP
ΔKAT30
−3.04**
−10.60***
ΔCPI
−8.09***
−8.78***
ΔEPU
−8.79***
−62.37***
ΔMSCI
−1.59***
−4.65***
ΔCDS
−11.42***
−13.12***
ΔSGB
−13.02***
−33.33***
ΔVIX
−9.82***
−18.94***
ΔOVX
−12.24***
−34.67***
** and *** indicate 5% and 1% level of significance, respectively. Note: ADF = Augmented Dickey–Fuller; PP = Philips–Perron; EPU = economic
policy uncertainity; CDS = credit default swap; VIX = implied volatility index. Our results show that, among local factors, monetary policy-
related indicators (CPI and SGB) merely influence KAT30; how-
ever, CDS affects the index across all quantiles. This means that
KAT30 is comparatively insensitive to interest rate channels rep-
resented by inflation and the spread of the term structure. This
result is as expected considering that KAT30 firms’ indebtedness
ratios and their dependency on interest income are low as men-
tioned in the introduction section. Yet, the participation index is
affected by the country’s global risk reflected by the CDS; this is
expected as the country’s credit risk information is embedded in
stock prices, which will in turn affect their returns. In fact, CDS
reflects the country’s ability to pay its external debts which means
that an increase in CDS causes an increase in external debt risk
premium. Therefore, while the cost of external debts increases,
the ability of external indebtedness decreases. In this case, lower
consumption and investment levels will decrease the revenues
of companies, which will negatively affect their stock prices and
thus their returns. comes to the bullish market state, at its start (Q 0.75), investors
react positively to the good news in the economy. Results Economic policy uncertainty ( has a positive
impact on KAT30 (Q0.1 and Q0.9), while it has a negative signifi-
cant impact on KAT30 (Q0.95). These results are almost close to
the results of Hammoudeh et al. (2014), Nazlioglu et al. (2015),
and Ftiti and Hadhri (2018) stating that Islamic SR is unrespon-
sive to shocks of EPU. The world index (MSCI) impact on KAT30 is
insignificant except for the last upper quantiles (Q0.9 andQ0.95). In addition, OVX positively impacts the upper quantiles (Q0.9 and
Q0.95) and positively affects KAT30 during a bullish market. Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360 Discussion and Conclusion However, this
effect does not hold long and the trend reverses (CDS negatively
affecting KAT30). The impact of SGB on KAT30 is insignificant
across all quantiles except for the last one (Q 0.95) that shows a
positive impact of SGB on KAT30. The latter is in line with Naifar’s
(2016) results. That is, even if the SGB increases during a bullish
market state, corporate profits increase and so do KAT30 returns. Table 5. Quantile Regression Results
Q0.05
Q0.1
Q0.25
Q0.5
Q0.75
Q0.9
Q0.95
Δlog CPI
−0.061
−0.030
−0.075*
−0.019
0.017
0.013
−0.07
ΔCDS
−0.015***
−0.011***
−0.014***
−0.012***
0.012***
−0.008***
−0.01***
SGB
−2.07E-06
9.50E-07
5.16E-07
3.48E-06
5.23E-06
6.34E-06
−1.11E-05***
Δlog VIX
−0.075*
−0.073**
−0.090***
−0.050**
−0.042
−0.084*
−0.05
EPU
4.6E-17
4.6E-17*
6.6E-18
2.1E-17
1.2E-16
2.1E-16**
−1.1E-05*
Δlog MSCI
−0.292
0.342
0.275
0.163
−0.079
0.359*
0.48**
Δlog OVXlag
−0.047
−0.020
−0.029
0.049
0.022
0.065**
0.08**
α
−.069***
−.051***
−.026***
.009
.024
.014
.04*
Adj R²
.27
.23
.18
.14
.15
.22
.3
***, **, and * indicate 1%, 5%,and 10% level of significance, respectively. 265 When it comes to GRF, results show that KAT30 is gener-
ally affected by VIX across the low quantiles. This means that
the VIX impact on KAT30 is stronger during market downturn. This relative asymmetric co-movement is in line with Whaley’s
(2009) result, who argues that VIX is more of an indicator that
reflects the fear of investors from a recession than it is an indi-
cator of investors’ excitement. This shows that religiously con-
scious investors behave the same way as conventional investors
during bearish markets. Yet, OVX and MSCI are mostly sig-
nificant across upper quantiles. MSCI positively affects KAT30
index across upper quantiles. This means that the decoupling
hypothesis is affirmed for Turkish participation indices during
the normal and bearish phase. The Turkish participation stock
market is integrated with the global stock market only during
the bullish market. Also, this result implies that during market
decline or recession (bearish market), KAT30 might be a safe
haven for investors. Thus, Turkish participation indices might
be a diversification tool for stock market investors. Lastly, OVX
positively affects KAT30 across upper quantiles. The bullish
market reflects a good economic condition and thus demand
for crude oil increases followed by an increase in its price. This
means increasing oil price volatility during the bullish market
increases the KAT30 index. Declaration of Interests: The authors declare that they have no compet-
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characteristics of sustainable investments across regions around Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360 267 Araştırmanın Metodu Lokal ve küresel faktörlerin farklı piyasa koşulları üzerindeki etkisini tespit etmek için Mayıs 2011'den Nisan 2021'e kadar olan aylık veriler
kullanılarak kantil regresyon yaklaşımı ile analiz edilmektedir. Bulgular ve Tartışma Sonuçlar, lokal makroekonomik göstergeler arasında para politikasıyla ilgili göstergelerden CPI(SGB)’nin sadece düşüş piyasasında (yük-
seliş piyasası) KAT30'u etkilediğini gösterirken, CDS tüm kantillerde KAT30'u negatif etkilemektedir.Bu, KAT30'un enflasyon ve vade
yapısının yayılması ile temsil edilen faiz oranına nispeten duyarsız olduğunu göstermektedir. Küresel risk faktörleri söz konusu oldu-
ğunda, sonuçlar KAT30'un Q0.75 ve Q0.95 dışındaki tüm kantillerde VIX'ten negatif etkilendiğini göstermektedir. Bu durum, düşüş piya-
sasında VIX’in KAT30 üzerindeki etkisinin daha güçlü olduğu göstermektedir. Bununla birlikte, OVX ve MSCI'nin etkisi, üst kantillerde
pozitif ve anlamlıdır. Bu, KAT30 üzerindeki VIX etkisinin pazarın gerilemesi sırasında daha güçlü olduğu anlamına gelmektedir. Bu göreli
asimetrik ortak hareket, VIX'in yatırımcıların heyecanının bir göstergesi olmaktan çok, yatırımcıların resesyon korkusunu yansıtan bir
gösterge olduğunu savunan Whaley (2009)’un sonucu ile uyumludur. Bu, dini hassasiyeti olan ve olmayan yatırımcıların düşüş piyasa-
larında aynı şekilde davrandığını göstermektedir. Ancak, OVX ve MSCI'nin etkisi çoğunlukla üst kantillerde anlamlılık göstermektedir. MSCI, üst kantillerde KAT30 endeksini olumlu yönde etkilemektedir. Bu, normal ve düşüş döneminde Türkiye katılım endeksleri için
ayrışma hipotezini desteklemektedir. Trends in Business and Economics l 2022 36(3): 258-267 l doi: 10.5152/TBE.2022.1018360
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Fractional-Order Modelling and Optimal Control of Cholera Transmission
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Fractal and fractional
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Keywords: cholera; compartmental mathematical models; fractional-order optimal control Citation: Rosa, S.; Torres, D.F.M. Fractional-Order Modelling and
Optimal Control of Cholera
Transmission. Fractal Fract. 2021, 5,
261. https://doi.org/10.3390/
fractalfract5040261 Citation: Rosa, S.; Torres, D.F.M. Fractional-Order Modelling and
Optimal Control of Cholera
Transmission. Fractal Fract. 2021, 5,
261. https://doi.org/10.3390/
fractalfract5040261 MSC: 34A08, 49M05, 92C60 Silvério Rosa 1,*,†
and Delfim F. M. Torres 2,† 1
Instituto de Telecomunicações (IT) and Department of Mathematics, Universidade da Beira Interior,
6201-001 Covilhã, Portugal †
These authors contributed equally to this work. Abstract: A Caputo-type fractional-order mathematical model for “metapopulation cholera transmis-
sion” was recently proposed in [Chaos Solitons Fractals 117 (2018), 37–49]. A sensitivity analysis of
that model is done here to show the accuracy relevance of parameter estimation. Then, a fractional
optimal control (FOC) problem is formulated and numerically solved. A cost-effectiveness analysis is
performed to assess the relevance of studied control measures. Moreover, such analysis allows us to
assess the cost and effectiveness of the control measures during intervention. We conclude that the
FOC system is more effective only in part of the time interval. For this reason, we propose a system
where the derivative order varies along the time interval, being fractional or classical when more
advantageous. Such variable-order fractional model, that we call a FractInt system, shows to be the
most effective in the control of the disease.
Citation: Rosa, S.; Torres, D.F.M. Fractional-Order Modelling and
Optimal Control of Cholera
Transmission. Fractal Fract. 2021, 5,
261. https://doi.org/10.3390/
fractalfract5040261
Academic Editors: Vassili
Kolokoltsov and Omar Abu Arqub
Received: 20 October 2021
Accepted: 2 December 2021
Published: 7 December 2021
Citation: Rosa, S.; Torres, D.F.M. Fractional-Order Modelling and
Optimal Control of Cholera
Transmission. Fractal Fract. 2021, 5,
261. https://doi.org/10.3390/
fractalfract5040261
Academic Editors: Vassili
Kolokoltsov and Omar Abu Arqub
Received: 20 October 2021
Accepted: 2 December 2021
Published: 7 December 2021 Article
Fractional-Order Modelling and Optimal Control of
Cholera Transmission Silvério Rosa 1,*,†
and Delfim F. M. Torres 2,† fractal and fractional fractal and fractional fractal and fractional f fractal and fractional Citation: Rosa, S.; Torres, D.F.M.
Fractional-Order Modelling and
Optimal Control of Cholera
Transmission. Fractal Fract. 2021, 5,
261. https://doi.org/10.3390/
fractalfract5040261 1. Introduction Fractional calculus is an old subject that raised as a consequence of a pertinent question
that L’Hôpital asked Leibniz in a letter about the possible meaning of a derivative of order
1/2. Recently, many researchers have focused their attention in modelling real-world
phenomena using fractional-order derivatives. The dynamics of those problems have been
modelled and studied by using the concept of fractional-order derivatives. Such problems
appear in, for example, biology, physics, ecology, engineering, and various other fields of
applied sciences, see, e.g., [1–3]. Academic Editors: Vassili
Kolokoltsov and Omar Abu Arqub Received: 20 October 2021
Accepted: 2 December 2021
Published: 7 December 2021 Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
published maps and institutional affil-
iations. Cholera is a gastroenteritis infection, contracted after consuming an infectious dose
or inoculum size of the pathogenic vibrio cholerae [4]. The mode of transmission consists of
two pathways: the primary route, where individuals consumes the pathogen from vibrio
contaminated water and seafood; the secondary route being characterised by individuals
consuming unhygienic or soiled food that is infested with pathogenic vibrios from an infected
person. This secondary route of transmission is also commonly referred to as person-to-
person contact [4]. Cholera infection has affected many parts of the world. However, its
devastating force has been more pronounced in impoverished communities [5,6]. 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/). 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/). Cholera is one of the most studied infections in recent years. Mathematical models
are used to study and understand the dynamics of infection, as well as offer suggestions
toward its control, see, e.g., [4,7–12]. Most models used in the study of Cholera have been
based on systems of integer-order ordinary differential equations. However, those models
do not fully account for memory, as well as non-local properties exhibited by the epidemic
system. Non-local behaviour asserts that the subsequent state of the model depends on https://www.mdpi.com/journal/fractalfract Fractal Fract. 2021, 5, 261. https://doi.org/10.3390/fractalfract5040261 Fractal Fract. 2021, 5, 261 2 of 16 both the current and historical states. 1. Introduction Fractional order differential systems have been
proposed as more suitable to describe epidemic dynamics of diseases [13–15]. Recently, a fractional order differential system was used in the study of cholera
transmission in adjacent communities [10]. Individuals in adjacent communities often
frequent their home range, an aspect which constitutes memory that is present in such a
model. Here, we start to do a sensitivity analysis to the fractional-order model of [10] in
order to determine which model parameters are most influential on the disease dynamics. After that, fractional optimal control (FOC) is applied, as a generalisation of the classical
optimal control system of [11]. In contrast with other works, for example [16], we could not
find a derivative order for which the FOC system is more effective. However, we noticed
that the FOC system is more effective in part of the time interval. Hence, we propose a
system where the derivative order varies along the interval, being fractional or classical
when more advantageous. Such system, a variable-order fractional one, is named here a
FractInt system, shown to be useful in the control of the disease. y
The paper is organised as follows. In Section 2, the fractional order model formulation
is presented. Our main results are then given in Section 3: sensitivity analysis of the
parameters of the model, taking into account the derivative order (Section 3.1); fractional
optimal control of the model (Section 3.2); numerical simulations and cost-effectiveness of
the fractional model (Section 3.3); and the new variable-order FractInt system (Section 3.3.2). We end with Section 4 of conclusions. 2. Fractional-Order Cholera Model A metapopulation model for cholera transmission is considered, dividing the popula-
tion into mutually exclusive distinct groups and using deterministic continuous transitions
between those groups, also known as states. The model describes the dynamics of a pop-
ulation exposed to infection by the pathogen vibrio cholerae. The human population is
divided into three compartments: susceptible individuals (S); infectious individuals (I);
and recovered individuals (R). The Caputo fractional-order system of differential equations
is as follows [10]:
C
0Dα
t S1 =π1 + a2S2 + ωR1 −(1 −u) β1B1S1
K + B1
−(1 −m)ϱ1I1S1 −(a1 + µ1 + v)S1,
C
0Dα
t I1 =(1 −u) β1B1S1
K + B1
+ (1 −m)ϱ1I1S1 + b2I2 −Q1I1,
C
0Dα
t R1 =vS1 + γ1I1 −(µ1 + ω + c1)R1 + c2R2,
C
0Dα
t B1 =σ1I1 −Q2B1,
(1) (1) for the first sub-population, and for the first sub-population, and
C
0Dα
t S2 =π2 + a1S1 + ωR2 −(1 −u) β2B2S2
K + B2
−(1 −m)ϱ2I2S2 −(a2 + µ2 + v)S2,
C
0Dα
t I2 =(1 −u) β2B2S2
K + B2
+ (1 −m)ϱ2I2S2 + b1I1 −Q3I2,
C
0Dα
t R2 =vS2 + γ2I2 −(µ2 + ω + c2)R2 + c1R1,
C
0Dα
t B2 =σ2I2 −Q4B2,
(2) (2) for the second sub-population, where C
0Dα
t denotes the left Caputo fractional order deriva-
tive of order α [1], 0 < α ⩽1, Q1 = µ1 + δ1 + γ1 + b1, Q2 = µp −g1, Q3 = µ2 + δ2 + γ2 + b2,
and Q4 = µp −g2. for the second sub-population, where C
0Dα
t denotes the left Caputo fractional order deriva-
tive of order α [1], 0 < α ⩽1, Q1 = µ1 + δ1 + γ1 + b1, Q2 = µp −g1, Q3 = µ2 + δ2 + γ2 + b2,
and Q4 = µp −g2. Fractal Fract. 2021, 5, 261 3 of 16 3 of 16 We note that the equations of model (1)–(2) do not have appropriate time dimensions. 2. Fractional-Order Cholera Model Indeed, on the left-hand side the dimension is (time)−α while on the right-hand side the
dimension is (time)−1 (see, e.g., [17,18] for more details). Therefore, we claim that the
accurate way of writing system (1) is
C
0Dα
t S1 =πα
1 + aα
2S2 + ωαR1 −(1 −u) βα
1B1S1
K + B1
−(1 −m)ϱα
1 I1S1 −(aα
1 + µα
1 + v)S1,
C
0Dα
t I1 =(1 −u) βα
1B1S1
K + B1
+ (1 −m)ϱα
1 I1S1 + bα
2 I2 −Q1I1,
C
0Dα
t R1 =vS1 + γα
1 I1 −(µα
1 + ωα + cα
1)R1 + cα
2R2,
C
0Dα
t B1 =σα
1 I1 −Q2B1,
(3) (3) for the first sub-population, and for the first sub-population, and for the first sub-population, and
C
0Dα
t S2 =πα
2 + aα
1S1 + ωαR2 −(1 −u) βα
2B2S2
K + B2
−(1 −m)ϱα
2 I2S2 −(aα
2 + µα
2 + v)S2,
C
0Dα
t I2 =(1 −u) βα
2B2S2
K + B2
+ (1 −m)ϱα
2 I2S2 + bα
1 I1 −Q3I2,
C
0Dα
t R2 =vS2 + γα
2 I2 −(µα
2 + ωα + cα
2)R2 + cα
1R1,
C
0Dα
t B2 = σα
2 I2 −Q4B2,
(4) (4) the accurate way of writing system (2), with Q1 = µα
1 + δα
1 + γα
1 + bα
1, Q2 = µα
p −gα
1,
Q3 = µα
2 + δα
2 + γα
2 + bα
2, and Q4 = µα
p −gα
2. 3. Main Results We begin by doing a sensitivity analysis to the parameters of the model, in order to
identify those for which a small perturbation leads to relevant quantitative changes in
the dynamics. 3.1. Sensitivity Analysis Two distinct ways to compute the basic reproduction numbers, R01 and R02, of the
two sub-populations of the model, are available in [10,11]. To know which one is proper, we
determine them by using the next-generation matrix method [19]. We obtain the community
specific reproduction numbers as R01 = (πα
1(µα
2 + aα
2 + v) + aα
2πα
2)((1 −u)βα
1σα
1 + (1 −m)Q2ϱα
1K)
Q1Q2(µα
1 + aα
1 + v)(µα
2 + aα
2 + v)(1 −Φ1)K
,
(5) (5) for the first community, and R02 = (πα
2(µα
1 + aα
1 + v) + aα
1πα
1)((1 −u)βα
2σα
2 + (1 −m)Q4ϱα
2K)
Q3Q4(µα
1 + aα
1 + v)(µα
2 + aα
2 + v)(1 −Φ1)K
,
(6) (6) for the second community, where Φ1 =
aα
1aα
2
(µα
1 + aα
1 + v)(µα
2 + aα
2 + v). 4 of 16 Fractal Fract. 2021, 5, 261 The values of used parameters are presented in Table 1, which were taken from [10],
with exception of π1, π2 and ϱ2. The first two parameters are equal and are defined as π1 = π2 = 1.08 × 10−4, π1 = π2 = 1.08 × 10−4, which is bigger than the values proposed in [10], in order to ensure an endemic scenario
(R01 > 1 and R02 > 1). Indeed, it is the presence of an endemic situation that motivates
us, in Section 3.2, to apply optimal control theory to tackle the cholera problem. The latter
parameter, ϱ2, is also changed with respect to [10] and is defined as ϱ2 = 0.1875. This
particular value makes specific reproduction numbers of the two communities, R01 and
R02, clearly different from each other as we can see in Figure 1. This means that the two
communities are distinct and that they could not be considered as one unique community. Table 1. Values of model’s parameters. Table 1. Values of model’s parameters. Table 1. Values of model’s parameters. Table 1. Values of model’s parameters. 3.1. Sensitivity Analysis Sensitivity of R01 (top) and R02 (bottom), evaluated for the parameter values given in Table 1
with α = 1. Parameter
ΥR01
·
Parameter
ΥR01
·
Parameter
ΥR01
·
π1, π2
0.500
µ2, a1
−0.454
β1, σ1
2 × 10−6
ϱ1
0.999
K
−2 × 10−6
µ1
−0.547
a2
0.454
b1
−0.343
δ1
−0.143
γ1
−0.514
µp
−6 × 10−6
g1
4 × 10−6
Parameter
ΥR02
·
Parameter
ΥR02
·
Parameter
ΥR02
·
π1, π2
0.500
µ2
−0.456
β2, σ2
1 × 10−5
ϱ2
0.999
K
−1 × 10−5
µ1, a2
−0.545
a1
0.545
b2
−0.259
δ2
−0.416
γ2
−0.324
µp
−3 × 10−5
g2
2 × 10−5
For the fractional model, the sensitivity index depends on the derivative order α. We
can see this in Figure 2, where: (a) the impact of variation of α in the sensitivity index of β1
is displayed for the first community; (b) the impact of variation of α in the sensitivity index
of ϱ2 is exhibited for the second community. The graphics of the other parameters are not
shown because they exhibited similar behaviours. The parameters whose index value for
α = 1 is close to zero, as β1, do not vary much if we consider lower values of α, as we see
in Figure 2a. On the other hand, parameters whose index value in Table 2 are not as close
to zero as the previous one, as ϱ2, vary significantly if we consider lower values of α, as we
see in Figure 2b, and their sensitivity decreases with the decrease in α. Table 2. Sensitivity of R01 (top) and R02 (bottom), evaluated for the parameter values given in Table 1
with α = 1. Parameter
ΥR01
·
Parameter
ΥR01
·
Parameter
ΥR01
·
π1, π2
0.500
µ2, a1
−0.454
β1, σ1
2 × 10−6
ϱ1
0.999
K
−2 × 10−6
µ1
−0.547
a2
0.454
b1
−0.343
δ1
−0.143
γ1
−0.514
µp
−6 × 10−6
g1
4 × 10−6
Parameter
ΥR02
·
Parameter
ΥR02
·
Parameter
ΥR02
·
π1, π2
0.500
µ2
−0.456
β2, σ2
1 × 10−5
ϱ2
0.999
K
−1 × 10−5
µ1, a2
−0.545
a1
0.545
b2
−0.259
δ2
−0.416
γ2
−0.324
µp
−3 × 10−5
g2
2 × 10−5 Table 2. Sensitivity of R01 (top) and R02 (bottom), evaluated for the parameter values given in Table 1
with α = 1. 3.1. Sensitivity Analysis Parameter
Value
Source
β1
0.00125
[10]
β2
0.0125
[10]
K
106
[8]
µ1, µ2
8.4×10−5
[20,21]
δ1
0.0125
[12,22]
δ2
0.045
[12,22]
γ1
0.045
[12,23]
γ2
0.035
[12,23]
µp
1.06
[8,24–26]
g1, g2
0.73
[10]
ϱ1
0.102
–
σ1, σ2
50
[10] We start by considering that rates u, v, and m are all zero in the sensitivity analysis,
unless specified otherwise. We start by considering that rates u, v, and m are all zero in the sensitivity analysis,
unless specified otherwise. 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2.2 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2.2 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2.2 Figure 1. Impact of the variation of derivative order, α, in the basic reproduction numbers of both
communities (3) and (4), respectively, R01 and R02. Definition 1 (See [27,28]). The normalised forward sensitivity index of R0i, which is differentiable
with respect to a given parameter p, is defined by ΥR0i
p
= ∂R0i
∂p
p
R0i
,
i=1,2. (7) (7) Table 2 presents the values of the sensitivity index of the parameters of the model,
obtained by the normalised sensitivity index (7), for the classical case (α = 1) of connected Fractal Fract. 2021, 5, 261 5 of 16 communities. These values have a meaning. For instance, ΥR01
ϱ1
= +0.999 means that
increasing (decreasing) ϱ1 by a given percentage increases (decreases) always R01 by nearly
that same percentage. Sensitive parameters should be carefully evaluated, once a small
perturbation in such parameter leads to significant quantitative changes. On the other
hand, the estimation of a parameter with a small value for the sensitivity index does not
require as much attention to evaluate, because a small perturbation in that parameter leads
to small adjustments [29]. According with Table 2, we should pay special attention to the
estimation of sensitive parameters ϱ1 and ϱ2. In contrast, the estimation of K, µp, β1, β2, σ1,
σ2, g1, and g2 do not require as much attention because of its low sensitivity. The missing
parameters are those whose index value is zero. Table 2. 3.1. Sensitivity Analysis We
see that the evolution of the sensitivity index is analogous for the two reproduction numbers. 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0
0.5
1
1.5
2
2.5
R01
R02
Figure 3. Evolution of the sensitivity index for the basic reproduction numbers of both communities,
R01 and R02, with the variation of the derivative order, α. 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0
0.5
1
1.5
2
2.5
R01
R02 Figure 3. Evolution of the sensitivity index for the basic reproduction numbers of both communities,
R01 and R02, with the variation of the derivative order, α. 3.1. Sensitivity Analysis For the fractional model, the sensitivity index depends on the derivative order α. We
can see this in Figure 2, where: (a) the impact of variation of α in the sensitivity index of β1
is displayed for the first community; (b) the impact of variation of α in the sensitivity index
of ϱ2 is exhibited for the second community. The graphics of the other parameters are not
shown because they exhibited similar behaviours. The parameters whose index value for
α = 1 is close to zero, as β1, do not vary much if we consider lower values of α, as we see
in Figure 2a. On the other hand, parameters whose index value in Table 2 are not as close
to zero as the previous one, as ϱ2, vary significantly if we consider lower values of α, as we
see in Figure 2b, and their sensitivity decreases with the decrease in α. 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
2
4
6
8
10
12
10-6
(a)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
(b)
Figure 2. (a) Evolution of the sensitivity index of parameter β1, evaluated for α, with respect to R01
(first community); (b) Evolution of the sensitivity index of parameter ϱ2, evaluated for α, with respect
to R02 (second community). 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
2
4
6
8
10
12
10-6
(a) 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
(b) (b) (a) Figure 2. (a) Evolution of the sensitivity index of parameter β1, evaluated for α, with respect to R01
(first community); (b) Evolution of the sensitivity index of parameter ϱ2, evaluated for α, with respect
to R02 (second community). 6 of 16 Fractal Fract. 2021, 5, 261 Figure 3 presents the evolution of the sensitivity index for the specific reproduction Figure 3 presents the evolution of the sensitivity index for the specific reproduction
numbers of the two communities, R01 and R02, with the variation of the derivative order. We
see that the evolution of the sensitivity index is analogous for the two reproduction numbers. g
p
y
p
p
numbers of the two communities, R01 and R02, with the variation of the derivative order. 3.2. Fractional Optimal Control of the Model Modelling dynamic control systems optimally is a very important issue in applied
sciences and engineering [30]. In this section, our aim is to minimise the number of cholera
infected individuals and, simultaneously, to reduce the associated cost. This is achieved
trough: (i) the use of vaccination into communities, as an effective time-dependent measure-
control v(t); (ii) the use of clean treated water, a preventive measure control u(t); (iii) and
the implementation of proper hygiene, another preventive measure control m(t), in order
to control person-to-person contact. Thus, we consider the following fractional optimal
control problem: min J (I1, I2, u, v,m) =
Z t f
0
k1I1 + k2I2 + k3u2 + k4v2 + k5m2
dt
(8) (8) subject to system (3)–(4) with given initial conditions subject to system (3)–(4) with given initial conditions S1(0) = S10 ⩾0, I1(0) = I10 ⩾0, . . . , R2(0) = R20 ⩾0, B2(0) = B20 ⩾0. (9) (9) Note that we are using a quadratic cost functional on the controls, as an approx-
imation to the real non-linear functional. Indeed, as in [31], our optimal control prob-
lem depends on the assumption that the cost takes a non-linear form. The parameters
0 < k1, k2, k3, k4, k5 < +∞are positive weights and t f is the duration of the control pro-
gram. In addition, k3, k4, and k5 represent the costs of applying controls efforts u, v, and m,
respectively. The set of admissible control functions is (10) U =
n
(u(·), v(·), m(·)) ∈L∞(0, t f ) : 0 ⩽u ⩽umax, 0 ⩽v ⩽vmax, 0 ⩽m ⩽mmax
o
. (10) The Pontryagin maximum principle (PMP) for fractional optimal control is used to
solve the problem [32,33]. The Hamiltonian of the resulting optimal control problem is
defined as 7 of 16 Fractal Fract. 3.2. Fractional Optimal Control of the Model , 8, verify C
0Dα
t ξ1(t′) = ϱα
1 I1(m −1)(ξ1 −ξ2) + aα
1(ξ5 −ξ1)
+ B1βα
1(ξ1 −ξ2)(u −1) −B1µα
1ξ1 −Kµα
1ξ1
B1 + K
+ (ξ3 −ξ1)v, ξ1(t′) = ϱα
1 I1(m −1)(ξ1 −ξ2) + aα
1(ξ5 −ξ1)
+ B1βα
1(ξ1 −ξ2)(u −1) −B1µα
1ξ1 −Kµα
1ξ1 + C
0Dα
t ξ3(t′) = ωα(ξ1 −ξ3) −(µα
1 + cα
1)ξ3 + cα
1ξ7,
C
0Dα
t ξ4(t′) = K(−Kξ4Q2 + βα
1(ξ1 −ξ2)S1(u −1)) −B2
1ξ4Q2 −2B1Kξ4Q2
(B1 + K)2
,
C
0Dα
t ξ5(t′) = aα
2(ξ1 −ξ5) + ϱα
2 I2(m −1)(ξ5 −ξ6)
+ B2βα
2(ξ5 −ξ6)(u −1) −B2µα
2ξ5 −Kµα
2ξ5
B2 + K
+ (ξ7 −ξ5)v,
C
0Dα
t ξ6(t′) = k2 + bα
2ξ2 + γα
2ξ7 + ϱα
2(m −1)ξ5S2 −ξ6(Q3 + ϱα
2(m −1)S2)
+ ξ8σα
2 ,
C
0Dα
t ξ7(t′) = ωαξ5 + cα
2ξ3 −(µα
2 + ωα + cα
2)ξ7,
C
0Dα
t ξ8(t′) = K(−Kξ8Q4 + βα
2(ξ5 −ξ6)S2(u −1)) −B2
2ξ8Q4 −2B2Kξ8Q4
(B2 + K)2
,
(12 0
t ξ ( )
(ξ
ξ )
(µ1
1)ξ
1ξ
C
0Dα
t ξ4(t′) = K(−Kξ4Q2 + βα
1(ξ1 −ξ2)S1(u −1)) −B2
1ξ4Q2 −2B1Kξ4Q2
(B1 + K)2
,
C
0Dα
t ξ5(t′) = aα
2(ξ1 −ξ5) + ϱα
2 I2(m −1)(ξ5 −ξ6)
+ B2βα
2(ξ5 −ξ6)(u −1) −B2µα
2ξ5 −Kµα
2ξ5
B2 + K
+ (ξ7 −ξ5)v,
CDαξ6(t′) = k2 + bαξ2 + γαξ7 + ϱα(m −1)ξ5S2 −ξ6(Q3 + ϱα(m −1)S2)
(12) (12) C
0Dα
t ξ7(t′) = ωαξ5 + cα
2ξ3 −(µα
2 + ωα + cα
2)ξ7,
C
0Dα
t ξ8(t′) = K(−Kξ8Q4 + βα
2(ξ5 −ξ6)S2(u −1)) −B2
2ξ8Q4 −2B2Kξ8Q4
(B2 + K)2
, with t′ = t f −t. In turn, the optimality conditions of PMP establish that the optimal
controls u∗, v∗, and m∗are defined by with t′ = t f −t. In turn, the optimality conditions of PMP establish that the optimal
controls u∗, v∗, and m∗are defined by u∗= min
max
0, B1βα
1(ξ2 −ξ1)S1
2k3(B1 + K)
+ B2βα
2(ξ6 −ξ5)S2
2k3(B2 + K)
, umax
,
v∗= min
max
0, S1(ξ1 −ξ3) + S2(ξ5 −ξ7)
2k4
, vmax
,
m∗= min
max
0, ϱα
1 I1(ξ2 −ξ1)S1 + ϱα
2 I2(ξ6 −ξ5)S2
2k5
, mmax
. 3.2. Fractional Optimal Control of the Model 2021, 5, 261 H = k1I1 + k2I2 + k3u2 + k4v2 + k5m2 + ξ1
πα
1 + aα
2S2 + ωαR1
−(1 −u) βα
1B1S1
K + B1
−(1 −m)ϱα
1 I1S1 −(aα
1 + µα
1 + v)S1
+ ξ2
(1 −u) βα
1B1S1
K + B1
+ (1 −m)ϱα
1 I1S1 + bα
2 I2 −Q1I1
H = k1I1 + k2I2 + k3u2 + k4v2 + k5m2 + ξ1
πα
1 + aα
2S2 + ωαR1
−(1 −u) βα
1B1S1
K + B1
−(1 −m)ϱα
1 I1S1 −(aα
1 + µα
1 + v)S1
+ ξ2
(1 −u) βα
1B1S1
K + B1
+ (1 −m)ϱα
1 I1S1 + bα
2 I2 −Q1I1
+ ξ3(vS1 + γα
1 I1 −(µα
1 + ωα + cα
1)R1 + cα
2R2) + ξ4(σα
1 I1 −Q2B1)
+ ξ5
πα
2 + aα
1S1 + ωαR2 −(1 −u) βα
2B2S2
K + B2
−(1 −m)ϱα
2 I2S2 −(aα
2 + µα
2 + v)S2
+ ξ6
(1 −u) βα
2B2S2
K + B2
+ (1 −m)ϱα
2 I2S2 + bα
1 I1 −Q3I2
+ ξ7(vS2 + γα
2 I2 −(µα
2 + ωα + cα
2)R2 + cα
1R1) + ξ8(σα
2 I2 −Q4B2)
(11 (11) + ξ6
(1 −u) βα
2B2S2
K + B2
+ (1 −m)ϱα
2 I2S2 + bα
1 I1 −Q3I2
+ ξ7(vS2 + γα
2 I2 −(µα
2 + ωα + cα
2)R2 + cα
1R1) + ξ8(σα
2 I2 −Q4B2) and the adjoint system asserts that the co-state variables ξi(t), i = 1, . . . 3.3. Numerical Results and Cost-Effectiveness Analysis 3.3. Numerical Results and Cost-Effectiveness Analysis We start by calculating the relevance of the three measures used in the control of the
disease. We do it by using the sensitivity index, presented in Definition 1, as proposed
in [34]. In this case, the sensitivity indices are presented as functions of the control param-
eters in Figure 4, using the parametric values from Table 1 and considering the classical
model (that is, α = 1). The resulting graphics show that: (a) the curve of vaccination is the
one that most rapidly moves away from zero, meaning that the vaccination program has a
big impact for small rates of application; (b) proper hygiene measures are also important in
the control of cholera, having a bigger impact for greater rates of application of it, being the
only control that has precisely the same impact in both communities; (c) the domestic water
treatment is useless in the control of cholera transmission, when used simultaneously with
the two previous controls. So, in what follows, the third control, variable u, is ignored. 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
-1.2
-1
-0.8
-0.6
-0.4
-0.2
0
10-5
R01
R02
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
-1.2
-1
-0.8
-0.6
-0.4
-0.2
0
R01
R02
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
-12
-10
-8
-6
-4
-2
0
R01
R02
Figure 4. Sensitivity index of the basic reproduction numbers with respect to the control variables u
(top left), v (top right), and m (bottom). 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
-1.2
-1
-0.8
-0.6
-0.4
-0.2
0
R01
R02 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
-1.2
-1
-0.8
-0.6
-0.4
-0.2
0
10-5
R01
R02 Figure 4. Sensitivity index of the basic reproduction numbers with respect to the control variables u
(top left), v (top right), and m (bottom). One can deal with many different problems arising in different fields of sciences
and engineering by applying some appropriate discretisation [35]. Here, the Pontryagin
Maximum Principle is used to numerically solve the optimal control problem, as discussed
in Section 3.2, both in classical and fractional cases, using the predict-evaluate-correct-
evaluate (PECE) method of Adams–Basforth–Moulton [36], coded by us in MATLAB. 3.2. Fractional Optimal Control of the Model (13) (13) In addition, the following transversality conditions hold: In addition, the following transversality conditions hold: In addition, the following transversality conditions hold: ξi(t f ) = 0,
i = 1, . . . , 8. (14) (14) Fractal Fract. 2021, 5, 261 8 of 16 3.3. Numerical Results and Cost-Effectiveness Analysis Firstly, we solve system (3)–(4) by the PECE procedure, with the initial values for the state
variables as given in Table 3 and a guess for the controls over the time interval [0, t f ], that
way obtaining the values of the state variables. Similarly to [16], a change of variable is
applied to the adjoint system and to the transversality conditions, obtaining the fractional
initial value problem (12)–(14). Such IVP is also solved with the PECE algorithm, and the
values of the co-state variables ξi, i = 1, . . . , 8, are determined. The controls are then
updated by a convex combination of the controls of previous iteration and the current
values, computed according to (13). This procedure is repeated iteratively until the values
of all the variables and the values of the controls are almost identical to the ones of the
previous iteration. The solutions of the classical model were successfully confirmed by a
classical forward–backward scheme, also implemented by us in MATLAB. Fractal Fract. 2021, 5, 261 9 of 16 In the numerical experiments, we consider weights k1 = 4, k2 = 2.4, k3 = 1.6, and
k4 = k5 = 1. These values have the same relations between them than the homonyms
weights in [11], with the numerical advantage of being closer to the value one. We also use
vmax = mmax = 1, while the other parameters are fixed according to Table 1. p
g
According with Figure 1, R01 > 1 and R02 > 1 for α ⩾0.68 (endemic scenario). In order to be able to compare the FOCP results for several derivative orders, we consider
the initial conditions, given by Table 3, which correspond to the non-trivial endemic
equilibrium for system (3) and (4) for the classical cholera model (α = 1). Table 3. Initial conditions for the fractional optimal control problem of Section 3.2 with parameters
given by Table 1, corresponding to the endemic equilibrium of cholera model (3)–(4) with classical
derivative order. S1(0)
I1(0)
R1(0)
B1(0)
S2(0)
I2(0)
R2(0)
B2(0)
0.53144
0.001997
0.01028
0.30254
0.44222
0.002380
0.01082
0.36065 Without loss of generality, we consider the fractional order derivatives α = 1.0, 0.9
and 0.8. In Figures 5–7, we find the solutions of the fractional optimal control problem for
those values of α. 3.3. Numerical Results and Cost-Effectiveness Analysis We can see that a change in the value of α corresponds to significant
variations of the state and control variables. Beyond those values of α, others values were
also tested, but the results do not changed qualitatively. g
q
y
The efficacy function [37], exhibited in Figure 8, is defined as F(t) = i(0) −i∗(t)
i(0)
= 1 −i∗(t)
i(0) ,
(15) (15) where i∗(t) = I∗
1 (t) + I∗
2 (t) is the optimal solution associated with the fractional optimal
control problem and i(0) = I1(0) + I2(0) is the correspondent initial condition. This
function measures the proportional variation in the number of infected individuals, of both
communities, after the application of the control measures, {v∗, m∗}, by comparing the
number of infectious individuals at time t with its initial value i(0). We observe that the
graphic of F(t) exhibits the inverse tendency of infected individuals curves, growing and
reaching the maximum at the end of the time interval. To assess the cost and the effectiveness of the proposed fractional control measure
during the intervention period, some summary measures are presented. The total cases
averted by the intervention during the time period t f is defined in [37] by AV = t f i(0) −
Z t f
0
i∗(t) dt,
(16) (16) where i∗(t) is the optimal solution associated with the fractional optimal controls and
i(0) is the correspondent initial condition. Note that this initial condition is obtained as
the equilibrium proportion i of systems (3) and (4), which is independent of time, so that
Z t f t f i(0) =
Z t f
0
i dt represents the total infectious cases over a given period of t f days. Z
0
Effectiveness is defined as the proportion of cases averted on the total possible cases
under no intervention [37]: F =
AV
i(0)t f
= 1 −
Z t f
0
i∗(t) dt
i(0)t f
. (17) (17) The total cost associated with the intervention is defined in [37] by The total cost associated with the intervention is defined in [37] by TC =
Z t f
0 (C1 v∗(t)s∗(t) + C2 m∗(t)i∗(t))dt,
(18) (18) Fractal Fract. 3.3. Numerical Results and Cost-Effectiveness Analysis 2021, 5, 261 10 of 16 10 of 16 where s∗(t) = S∗
1(t) + S∗
2(t) and Ci corresponds to the per person unit cost of the two
possible interventions: (i) vaccination at any time t of susceptible individuals (C1); and
(ii) infected individuals practising proper hygiene (C2). Following [37,38], the average
cost-effectiveness ratio is given by ACER = TC
AV . (19) (19) The cost-effectiveness measures are summarised in Table 4. The results show the
effectiveness of controls to reduce cholera infectious individuals and the leadership in
doing so by the classical model (α = 1). Table 4. Summary of cost-effectiveness measures for classical and fractional (0 < α < 1) cholera
disease optimal control problems. Parameters according to Tables 1 and 3 with C1 = C2 = 1. α
AV
TC
ACER
F
1.0
0.316716
0.90049
2.84322
0.723582
0.9
0.297175
1.17595
3.95708
0.678938
0.8
0.280311
1.35978
4.85099
0.640408
0
10
20
30
40
50
60
70
80
90
100
time
0
0.0002
0.0004
0.0006
0.0008
0.001
0.0012
0.0014
0.0016
0.0018
0.002
I1(t)
=1
=0.9
=0.8
(a)
0
10
20
30
40
50
60
70
80
90
100
time
0
0.0005
0.001
0.0015
0.002
0.0025
I2(t)
=1
=0.9
=0.8
(b)
Figure 5. Variables I1 and I2 of the FOCP (8)–(13) with values from Table 1 and fractional order
derivatives α = 1.0, 0.9 and 0.8. (a) Evolution of infected individuals of 1st community; (b) Evolution
of infected individuals of 2nd community. Table 4. Summary of cost-effectiveness measures for classical and fractional (0 < α < 1) cholera
disease optimal control problems. Parameters according to Tables 1 and 3 with C1 = C2 = 1. Table 4. Summary of cost-effectiveness measures for classical and fractional (0 < α < 1) cholera
disease optimal control problems. Parameters according to Tables 1 and 3 with C1 = C2 = 1. Table 4. Summary of cost-effectiveness measures for classical and fractional (0 < α < 1) cholera
disease optimal control problems. Parameters according to Tables 1 and 3 with C1 = C2 = 1. 3.3. Numerical Results and Cost-Effectiveness Analysis α
AV
TC
ACER
F
1.0
0.316716
0.90049
2.84322
0.723582
0.9
0.297175
1.17595
3.95708
0.678938
0.8
0.280311
1.35978
4.85099
0.640408
0
10
20
30
40
50
60
70
80
90
100
time
0
0.0002
0.0004
0.0006
0.0008
0.001
0.0012
0.0014
0.0016
0.0018
0.002
I1(t)
=1
=0.9
=0.8
(a)
0
10
20
30
40
50
60
70
80
90
100
time
0
0.0005
0.001
0.0015
0.002
0.0025
I2(t)
=1
=0.9
=0.8
(b)
Figure 5. Variables I1 and I2 of the FOCP (8)–(13) with values from Table 1 and fractional order
derivatives α = 1.0, 0.9 and 0.8. (a) Evolution of infected individuals of 1st community; (b) Evolution
of infected individuals of 2nd community. 0
10
20
30
40
50
60
70
80
90
100
time
0
0.0002
0.0004
0.0006
0.0008
0.001
0.0012
0.0014
0.0016
0.0018
0.002
I1(t)
=1
=0.9
=0.8
(a) 0
10
20
30
40
50
60
70
80
90
100
time
0
0.0005
0.001
0.0015
0.002
0.0025
I2(t)
=1
=0.9
=0.8
(b) (b) (a) Figure 5. Variables I1 and I2 of the FOCP (8)–(13) with values from Table 1 and fractional order
derivatives α = 1.0, 0.9 and 0.8. (a) Evolution of infected individuals of 1st community; (b) Evolution
of infected individuals of 2nd community. 0
10
20
30
40
50
60
70
80
90
100
time
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
B1(t)
=1
=0.9
=0.8
(a) 0
10
20
30
40
50
60
70
80
90
100
time
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
B1(t)
=1
=0.9
=0.8
(a)
0
10
20
30
40
50
60
70
80
90
100
time
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
B2(t)
=1
=0.9
=0.8
(b)
Figure 6. Variables B1 and B2 of the FOCP (8)–(13) with values from Table 1 and fractional order
derivatives α = 1.0, 0.9 and 0.8. (a) Variation of vibrio population in 1st community; (b) Variation of
vibrio population in 2nd community. 0
10
20
30
40
50
60
70
80
90
100
time
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
B2(t)
=1
=0.9
=0.8
(b) (b) (a) Figure 6. Variables B1 and B2 of the FOCP (8)–(13) with values from Table 1 and fractional order
derivatives α = 1.0, 0.9 and 0.8. (a) Variation of vibrio population in 1st community; (b) Variation of
vibrio population in 2nd community. 11 of 16 Fractal Fract. 3.3. Numerical Results and Cost-Effectiveness Analysis 2021, 5, 261 0
10
20
30
40
50
60
70
80
90
100
time
0
0.02
0.04
0.06
0.08
0.1
0.12
v(t)
=1
=0.9
=0.8
(a)
0
10
20
30
40
50
60
70
80
90
100
time
0
0.002
0.004
0.006
0.008
0.01
0.012
0.014
m(t)
=1
=0.9
=0.8
(b)
Figure 7. Control variables v and m of the FOCP (8)–(13) with values from Table 1 and fractional
order derivatives α = 1.0, 0.9 and 0.8. (a) Contour of vaccination, v; (b) Evolution of control of
hygiene, m. 0
10
20
30
40
50
60
70
80
90
100
time
0
0.02
0.04
0.06
0.08
0.1
0.12
v(t)
=1
=0.9
=0.8
(a) 0
10
20
30
40
50
60
70
80
90
100
time
0
0.002
0.004
0.006
0.008
0.01
0.012
0.014
m(t)
=1
=0.9
=0.8
(b) (b) (a) Figure 7. Control variables v and m of the FOCP (8)–(13) with values from Table 1 and fractional
order derivatives α = 1.0, 0.9 and 0.8. (a) Contour of vaccination, v; (b) Evolution of control of
hygiene, m. 0
10
20
30
40
50
60
70
80
90
100
time
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
F(t)
=1
=0.9
=0.8 0
10
20
30
40
50
60
70
80
90
100
time
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
F(t)
=1
=0.9
=0.8
Figure 8. Evolution of the efficacy function (15) for the FOCP (8)–(13) with values from Table 1 and
fractional order derivatives α = 1.0, 0.9 and 0.8. Figure 8. Evolution of the efficacy function (15) for the FOCP (8)–(13) with values from Table 1 and
fractional order derivatives α = 1.0, 0.9 and 0.8. Figure 8. Evolution of the efficacy function (15) for the FOCP (8)–(13) with values from Table 1 and
fractional order derivatives α = 1.0, 0.9 and 0.8. 3.3.1. Optimal Control Strategies and Cost-Effectiveness Analysis 3.3.1. Optimal Control Strategies and Cost-Effectiveness Analysis Now, we analyse the cost-effectiveness of alternative combinations of two possible
control measures: •
strategy A—implementing the vaccination control, v; •
strategy B—implementing proper hygiene control, m; •
strategy C—implementing both controls, v and m. •
strategy C—implementing both controls, v and m. To analyse the cost-effectiveness of the three alternative strategies A, B, and C, we use
the Incremental Cost-Effectiveness Ratio (ICER) [38]. This ratio is used to compare the dif-
ferences between costs and health outcomes of two alternative intervention strategies that
compete for the same resources, being often described as the additional cost per additional
health outcome. We start by ranking the strategies in order of increasing effectiveness,
assessed by the total averted cases AV, defined in (16). The ICER for the classical model (α = 1), is calculated as follows: ICER(B) =ACER(B) = 0.216276,
ICER(A) =0.900865 −0.0084106
0.316411 −0.038888 = 3.2157877,
ICER(C) =1.900494 −0.900865
0.316716 −0.316411 = −1.216393. Results are shown in Table 5. Strategy A is the most costly one, so we exclude this strat-
egy from the set of alternatives. We align the remaining strategies by increasing effectiveness Fractal Fract. 2021, 5, 261 12 of 16 12 of 16 (AV) and recalculate the ICER: ICER(B) = ACER(B) = 0.216276 and ICER(C) = 3.210922. Hence, we conclude that strategy B (implementing only the control of hygiene measure, m)
is the most cost-effective strategy. (AV) and recalculate the ICER: ICER(B) = ACER(B) = 0.216276 and ICER(C) = 3.210922. Hence, we conclude that strategy B (implementing only the control of hygiene measure, m)
is the most cost-effective strategy. Table 5. Incremental cost-effectiveness ratio for strategies A, B, and C. Parameters according to
Tables 1 and 3 with C1 = C2 = 1 and α = 1. Strategies
AV
TC
ACER
ICER
B
0.038888
0.0084106
0.216276
0.216276
A
0.316411
0.900865
2.84713
3.2157877
C
0.316716
0.900494
2.84322
−1.216393 Table 5. Incremental cost-effectiveness ratio for strategies A, B, and C. Parameters according to
Tables 1 and 3 with C1 = C2 = 1 and α = 1. The ICER was also computed for the fractional model, considering the same strategies,
with the three derivative orders used previously: α = 0.9, α = 0.8 and α = 0.68. Even in
those cases, we obtain the same conclusion: strategy B is the most cost-effective. 3.3.1. Optimal Control Strategies and Cost-Effectiveness Analysis gy
Comparing the cost-effectiveness of strategy B for above derivative orders, we start by
getting the values of ICER presented in Table 6. Once the values of Total Cost (TC) diminish
with the decrease in the derivative order, proceeding as above, when the values of ICER
were computed for the classical α = 1 model, we eliminate successively the scheme with
the highest TC. Consequently, the “strategies” α = 1.0, α = 0.9, and α = 0.8 are excluded,
by this order. y
Our conclusion is: the most cost-effective scheme is strategy B with α = 0.68. Table 6. Incremental cost-effectiveness ratio for strategy B and several derivative orders. Same
conditions as Table 5. α
AV
TC
ICER
1.0
0.038888
0.0084106
0.216276
0.9
0.147496
0.003549
−22.3419
0.8
0.203782
0.001705
−30.5191
0.68
0.237211
0.000845
−38.859 Table 6. Incremental cost-effectiveness ratio for strategy B and several derivative orders. Same
conditions as Table 5. 3.3.2. The Variable-Order FractInt System Table 7. Cost-effectiveness measures for the FractInt system. Parameters according to Tables 1 and 3
with C1 = C2 = 1. AV
TC
ACER
F
0.332078
1.10967
3.3416
0.758679 Table 7. Cost-effectiveness measures for the FractInt system. Parameters according to Tables 1 and 3
with C1 = C2 = 1. Our results show that it is effective to control cholera infection through optimal control
and that the FracInt model is more efficient than the classical one (cf. Table 4 and Figure 11),
being the most effective model. 0
10
20
30
40
50
60
70
80
90
100
time
0
0.0002
0.0004
0.0006
0.0008
0.001
0.0012
0.0014
0.0016
0.0018
0.002
I1(t)
=1
=0.68
(t)
(a)
0
10
20
30
40
50
60
70
80
90
100
time
0
0.0005
0.001
0.0015
0.002
0.0025
I2(t)
=1
=0.68
(t)
(b)
Figure 9. Comparison of variables I1 and I2 of the FractInt system with the ones of the FOCP (8)–(13)
with α = 1 and α = 0.68, considering the parameter values from Table 1. (a) Infected individuals of
1st community; (b) Infected individuals of 2nd community. 0
10
20
30
40
50
60
70
80
90
100
time
0
0.0005
0.001
0.0015
0.002
0.0025
I2(t)
=1
=0.68
(t)
(b) 0
10
20
30
40
50
60
70
80
90
100
time
0
0.0002
0.0004
0.0006
0.0008
0.001
0.0012
0.0014
0.0016
0.0018
0.002
I1(t)
=1
=0.68
(t)
(a) (a) (b) Figure 9. Comparison of variables I1 and I2 of the FractInt system with the ones of the FOCP (8)–(13)
with α = 1 and α = 0.68, considering the parameter values from Table 1. (a) Infected individuals of
1st community; (b) Infected individuals of 2nd community. Figure 9. Comparison of variables I1 and I2 of the FractInt system with the ones of the FOCP (8)–(13)
with α = 1 and α = 0.68, considering the parameter values from Table 1. (a) Infected individuals of
1st community; (b) Infected individuals of 2nd community. 0
10
20
30
40
50
60
70
80
90
100
time
0
0.02
0.04
0.06
0.08
0.1
0.12
v(t)
=1
=0.68
(t)
(a)
0
10
20
30
40
50
60
70
80
90
100
time
0
0.002
0.004
0.006
0.008
0.01
0.012
0.014
0.016
0.018
0.02
m(t)
=1
=0.68
(t)
(b)
Figure 10. 3.3.2. The Variable-Order FractInt System 3.3.2. The Variable-Order FractInt System The solution of the Fractional Optimal Control Problem, exhibited in Section 3.3
for some derivative order values, evidences that the fractional-order model can be more
effective in part of the time interval—as shown in Figure 8—but classical model is more
effective if we consider all the interval, as shown in Table 4. In this section, we consider
that the derivative order varies along the interval, being fractional or classical when
more advantageous. According with Figure 8, α should be fractional at beginning and
become classical/one after a certain time. Such class of Variable-Order Fractional (VOF)
systems [39] are baptised here as FractInt. The derivative order of the FractInt system varies
according with α(t) =
(
α0
if 0 ⩽t ⩽t′,
1
if t′ < t ⩽100,
(20) (20) where 0 < α0 < 1. In practice, we noticed that the resulting system is as more effective as
smaller the value of α0. In view of an endemic scenario, we consider in our simulations
α0 = 0.68, which the lowest value that can guarantee it. With respect to the switching time,
the value considered is t′ = 7, which is the one to which it corresponds the maximum
value of efficiency. The FractInt system is numerically solved with the procedure described above, at the
beginning of Section 3.3. In each iteration of the procedure, the predict-evaluate-correct-
evaluate method is applied successively to each one of the two initial value problems—
associated to the state system and to the adjoint system of the FOCP (8)–(13)—to perform Fractal Fract. 2021, 5, 261 13 of 16 the integration of them in two steps. These steps correspond to the two branches of the
derivative order function, defined by (20). In such process, the final solution of first step
(first branch) is the initial solution of the second step. Solutions of the FractInt system are reproduced in Figures 9 and 10 along with solutions
of the classical and fractional models (α = 1 and α = 0.68, respectively). We can see that
the solutions of the FracInt system start to follow the solutions of the fractional model and
end by following the solutions of the classical model. This behaviour can be observed in
Figure 11, where the efficacy function for these three models is displayed. g
y
p y
The cost-effectiveness measures for the FractInt system are summarised in Table 7. 4. Conclusions Nowadays, Cholera infection is still an healthcare problem in many parts of the world,
namely in impoverished regions where it has devastating effects. Its control is the goal of
many studies in last years. In this work, a fractional-order mathematical model for Cholera
with two connected communities, proposed in [10], is studied and generalised. The two
communities in appreciation are distinct and therefore they could not be molten in one
unique community. A sensitivity analysis of the model is done to show the importance of estimation of
parameters. A fractional optimal control (FOC) problem is then formulated and numeri-
cally solved. The relevance of studied controls is assessed using a cost-effectiveness analysis. Such
analysis allow us to neglect the control u (domestic water treatment) since it proved to be
useless when used in combination with remaining controls. The numerical results show that the FOC system is more effective only in part of the
time interval. Therefore, we propose a system where the derivative order varies along
the time interval, being fractional or integer when more advantageous in the control of
infection. Such variable-order fractional model, baptised here as FractInt, shows to be the
most effective in the control of the disease. Author Contributions: Conceptualisation, S.R. and D.F.M.T.; methodology, S.R. and D.F.M.T.; soft-
ware, S.R.; validation, S.R. and D.F.M.T.; formal analysis, S.R. and D.F.M.T.; investigation, S.R. and
D.F.M.T.; writing—original draft preparation, S.R. and D.F.M.T.; writing—review and editing, S.R. and D.F.M.T.; visualisation, S.R. and D.F.M.T. All authors have read and agreed to the published
version of the manuscript. Funding: This research was funded by Fundação para a Ciência e a Tecnologia (FCT, the Portuguese
Foundation for Science and Technology) through IT, Grant Number UIDB/50008/2020 (S.R.), and
CIDMA, Grant Number UIDB/04106/2020 (D.F.M.T.). 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: Not applicable. Data Availability Statement: Not applicable. Acknowledgments: The authors would like to thank John B. H. Njagarah, from Botswana Interna-
tional University of Science and Technology, for having provided most of the values of parameters
used in this work, which are presented in Table 1. Conflicts of Interest: The authors declare no conflict of interest. 3.3.2. The Variable-Order FractInt System Comparison of variables v and m of the FractInt system with the ones of the FOCP (8)–(13)
with α = 1 and α = 0.68, considering the parameter values from Table 1. (a) Contour of vaccination,
v; (b) Evolution of the hygiene control, m. 0
10
20
30
40
50
60
70
80
90
100
time
0
0.02
0.04
0.06
0.08
0.1
0.12
v(t)
=1
=0.68
(t)
(a) 0
10
20
30
40
50
60
70
80
90
100
time
0
0.002
0.004
0.006
0.008
0.01
0.012
0.014
0.016
0.018
0.02
m(t)
=1
=0.68
(t)
(b) (a) (b) Figure 10. Comparison of variables v and m of the FractInt system with the ones of the FOCP (8)–(13)
with α = 1 and α = 0.68, considering the parameter values from Table 1. (a) Contour of vaccination,
v; (b) Evolution of the hygiene control, m. 14 of 16 Fractal Fract. 2021, 5, 261 0
10
20
30
40
50
60
70
80
90
100
time
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
F(t)
=1
=0.68
(t)
Figure 11. Evolution of the efficacy function for the FractInt system and for the FOCP with α = 1 and
α = 0.68, considering the parameter values from Table 1. Figure 11. Evolution of the efficacy function for the FractInt system and for the FOCP with α = 1 and
α = 0.68, considering the parameter values from Table 1. 4. Conclusions The funders had no role in the
design of the study; in the collection, analyses, or interpretation of the data; in the writing of the
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Измерение фактора избыточного шума лавинного фотодиода Hamamatsu APD S8664-1010
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МИНИСТЕРСТВО ОБРАЗОВАНИЯ И НАУКИ РОССИЙСКОЙ ФЕДЕРАЦИИ
ФЕДЕРАЛЬНОЕ ГОСУДАРСТВЕННОЕ АВТОНОМНОЕ ОБРАЗОВАТЕЛЬНОЕ
УЧРЕЖДЕНИЕ ВЫСШЕГО ОБРАЗОВАНИЯ «НОВОСИБИРСКИЙ НАЦИОНАЛЬНЫЙ
ИССЛЕДОВАТЕЛЬСКИЙ ГОСУДАРСТВЕННЫЙ УНИВЕРСИТЕТ». Усков А. А. Научный руководитель: с.н.с. ИЯФ СО РАН, к. ф.-м. н. Д. А. Епифано «Измерение фактора избыточного шума лавинного фотодиода
Hamamatsu APD S8664-1010»
Аннотация Одной из главных подсистем детектора Belle II является электромагнитный
калориметр на основе сцинтилляционных кристаллов CsI(Tl). В торцевых
частях этого калориметра планируется заменить кристаллы CsI(Tl) на
кристаллы чистого CsI. В качестве фоточувствительных элементов в новых
счётчиках калориметра планируется использовать кремниевые лавинные
фотодиоды (ЛФД) Hamamatsu APD S8664-1010. В данной работе были проведены измерения основных характеристик
лавинных фотодиодов Hamamatsu APD S8664-1010: темнового тока,
коэффициента усиления и фактора избыточного шума для двух длин волн
детектируемого света, 400 нм и 630 нм. Проведенные измерения нужны для определения рабочей точки фотодиода. Также, по результатам измерений фактора избыточного шума планируется
выработать требования к внутренней структуре оптимизированных ЛФД. Введение и цели работы В 2018 году в Японии (лаборатория КЕК, г. Цукуба) начнутся эксперименты
на Супер В-фабрике (детектор Belle II на асимметричном e+ e- коллайдере
SuperKEKB) [1]. Проектная светимость фабрики, 8 · 1035 1 / (см2 · с), позволит в десятки раз
увеличить объём экспериментальной информации, набранной в области
Upsilon(4S)-мезонного резонанса (энергия в системе центра масс
2E = 10.58 ГэВ) на предыдущих В-фабриках Belle и BABAR [2]. Широкая
программа исследований на Супер -фабрике включает всестороннее изучение
физики тяжёлых b- и c-кварков, а также тау-лептона. На новом уровне точности будет изучено нарушение СР симметрии в
распадах В- и D-мезонов, а также тау-лептонов. Одной из основных задач
Супер -фабрики является поиск эффектов, которые не объясняются в рамках
Стандартной Модели, поиск т.н. Новой Физики. Работы на Супер - фабрике
будут не только конкурировать, но и дополнять исследования, которые
проводятся в экспериментах на Большом Адронном Коллайдере в ЦЕРН. Высокая светимость Супер В-фабрики, и, как следствие, высокий уровень
пучкового фона предъявляют очень жёсткие требования к детектору Belle II. Одной из главных подсистем Belle II является электромагнитный калориметр
на основе сцинтилляционных кристаллов CsI(Tl), в создании и эксплуатации
которого принимают активное участие физики из ИЯФ им. Г. И. Будкера
СО РАН. Для уменьшения шумов наложения (т.н. pile-up шумов) было предложено
заменить кристаллы CsI(Tl) (с временем высвечивания около 1 мкс) на
кристаллы чистого CsI (с временем высвечивания около 30 нс) в торцевых
частях калориметра. Световыход кристаллов чистого CsI на порядок меньше чем у CsI(Tl),
поэтому для преобразования световой вспышки в электрический сигнал 1
Световыход кристаллов чистого CsI на порядок меньше чем у CsI(Tl),
поэтому для преобразования световой вспышки в электрический сигнал
приходится использовать фоточувствительные элементы с внутренним 1 усилением. Рассматривались два варианта фоточувствительных элементов:
вакуумные фотопентоды и кремниевые лавинные фотодиоды (ЛФД). В работе [3] исследовались характеристики счётчика на основе кристалла
чистого CsI (с размерами 6 x 6 x 30 см3), пластины со спектросмещающим
люминофором NOL-9 [4] и четырёх ЛФД Hamamatsu APD S8664-55 [5]. Были
измерены электронные шумы счётчика (в энергетических единицах) на
уровне 400 кэВ с 4-канальным зарядочувствительным предусилителем CAEN
A1422B045F3 и усилителем-формирователем (CR-4RC) с временем
формирования 30 нс, что удовлетворяет проектным требованиям к
калориметру. вакуумные фотопентоды и кремниевые лавинные фотодиоды (ЛФД). В работе [3] исследовались характеристики счётчика на основе кристалла
чистого CsI (с размерами 6 x 6 x 30 см3), пластины со спектросмещающим
люминофором NOL-9 [4] и четырёх ЛФД Hamamatsu APD S8664-55 [5]. Введение и цели работы Были
измерены электронные шумы счётчика (в энергетических единицах) на
уровне 400 кэВ с 4-канальным зарядочувствительным предусилителем CAEN
A1422B045F3 и усилителем-формирователем (CR-4RC) с временем
формирования 30 нс, что удовлетворяет проектным требованиям к
калориметру. Люминофор NOL-9 эффективно переизлучает сцинтилляционный свет
кристалла чистого CsI (с длиной волны 320 нм) в область видимого света с
длиной волны 588 нм, где квантовая эффективность ЛФД S8664-55
максимальна. Исторически характеристики ЛФД S8664-1010 приводятся
компанией Hamamatsu для света с длиной волны 420 нм (длина волны
сцинтилляционного света кристалла вольфрамата свинца (PbWO4)). Целью данной работы было измерить фактор избыточного шума (F) ЛФД
Hamamatsu S8664-1010 в зависимости от напряжения смещения для длин
волн детектируемого света 400 нм и 630 нм. Фактор избыточного шума кремниевого ЛФД может сильно зависеть от
длины волны детектируемого света и вносить заметный вклад в
энергетическое разрешение калориметра на основе кристаллов
чистого CsI, спектросместителя с NOL-9 и ЛФД Hamamatsu S8664-1010 в
области малых энергий гамма-квантов [6]. По результатам измерений F
планируется выработать требования к внутренней структуре
оптимизированных ЛФД (а именно расстоянию от входного окна ЛФД
до плоскости p-n-перехода с высоким электрическим полем) с целью
минимизации F. 2 2 Описание экспериментальной установки В измерениях использовались: лавинный фотодиод Hamamatsu S8664-1010,
произведённые в ИЯФ - высоковольтный источник напряжения (ВВИ),
аттенюатор (АТТ), АЦП, дискриминатор (Д), линия задержки,
формирователь импульсов; а также вольтметр B7-22A, вольтметр B7-40/4,
источник питания постоянного тока GW Instek GPD-74303S, 2 светодиода:
ARL-3214URC-6cd (красный, 620 – 635 nm) и L-7104UVC (ультрафиолето-
вый, 385-415 nm), черная металлическая коробка, большая металлическая
коробка, два резистора по 10 МОм, один резистор 100 МОм, генератор
калибровочного импульса GW Instek AFG-72225, осциллограф Tektronix TDS
220, усилитель-формирователь (УФ) Ortec 570, зарядово-чувствительный
предусилитель ORTEC 142IH (ЗЧПУ) (Рис. 1, 2, 3, 4). В измерениях использовались: лавинный фотодиод Hamamatsu S8664-1010,
произведённые в ИЯФ - высоковольтный источник напряжения (ВВИ), Рис. 1. Блок-схема установки Рис. 1. Блок-схема установки Рис. 1. Блок-схема установки 3 Рис. 2. Экспериментальная установка
Осциллограф
Tektronix
TDS 220
Вольтметр B7-40/4
Вольтметр
B7-22A
Источник питания постоянного
тока GW Instek GPD-74303S
Генератор
калибровочного
импульса GW
Instek AFG-72225 Источник питания постоянного
тока GW Instek GPD-74303S Рис. 2. Экспериментальная установка
Рис. 3. Модули, входящие в состав спектрометрического тракта
Осциллограф
Tektronix
TDS 220
Вольтметр B7-40/4
Вольтметр
B7-22A
тока GW Instek GPD-74303S
Генератор
либровочного
мпульса GW
tek AFG-72225 Осциллограф
Tektronix
TDS 220 Генератор
калибровочного
импульса GW
Instek AFG-72225 Вольтметр B7-40/4 Рис. 2. Экспериментальная установка Рис. 3. Модули, входящие в состав спектрометрического тракта Рис. 3. Модули, входящие в состав спектрометрического тракта Рис. 3. Модули, входящие в состав спектрометрического тракта 4 Рис. 4. Лавинный фотодиод, подключенный в цепь для измер
светодиод
Лавинный
фотодиод светодиод
Лавинный
фотодиод 5
Рис. 4. Лавинный фотодиод, подключенный в цепь для измерений
светодиод
Лавинный
фотодиод светодиод Лавинный
фотодиод Рис. 4. Лавинный фотодиод, подключенный в цепь для измерений 5 Спектрометрический тракт с лавинным фотодиодом, электронный шум Фотодиод – детектор оптического излучения, преобразующий свет в
электрический сигнал. Особенностью ЛФД является эффект внутреннего
усиления, появляющийся за счёт лавинного умножения заряда. При подаче
достаточно большого напряжения обратного смещения на p-n переход, на
длине свободного пробега электроны (дырки) успевают набрать энергию
достаточную для выбивания новых электронов из валентной зоны в зону
проводимости. Таким образом нарастает лавинный эффект. Одними из важнейших характеристик фотодиода являются: темновой ток,
коэффициент усиления (𝑔) и напряжение пробоя. Темновой ток - ток, протекающий через фотодиод в отсутствие поглощенных
фотонов, возникающий из-за тепловой генерации электронов или дырок в
полупроводнике. Коэффициент усиления 𝑔 при данном напряжении на ЛФД, показывает во
сколько раз фототок (ток через фотодиод, возникающий из-за попадания
света) больше фототока при малом напряжении, когда лавинного усиления
нет. Известно, что при малом 𝑈ЛФД = 10 В усиление действительно
отсутствует. 𝑔(𝑈ЛФД) = 𝐼фото(𝑈ЛФД)
𝐼фото(10 В) = 𝐼свет(𝑈ЛФД) −𝐼темн(𝑈ЛФД)
𝐼свет(10 В) −𝐼темн(10 В) Напряжение пробоя ЛФД – это такая величина напряжения, при
приближении к которой ток, протекающий через фотодиод резко возрастает. Таким образом p-n переход может быть уничтожен, при превышении
напряжения пробоя. Для измерения электронных шумов в схеме с ЛФД был собран
спектрометрический тракт, показанный на Рис.1. 6 Принцип измерения шумов такой: калибровочный генератор создаёт
прямоугольные импульсы (Рис. 5), которые через емкость
C𝑐𝑎𝑙= (1,50 ± 0,02) пФ подаются на калибровочный вход предусилителя. Рис. 5. Схематичное изображение калибровочного импульса Принцип измерения шумов такой: калибровочный генератор создаёт
прямоугольные импульсы (Рис. 5), которые через емкость
C𝑐𝑎𝑙= (1,50 ± 0,02) пФ подаются на калибровочный вход предусилителя. Принцип измерения шумов такой: калибровочный генератор создаёт
прямоугольные импульсы (Рис. 5), которые через емкость прямоугольные импульсы (Рис. 5), которые через емкость Рис. 5. Схематичное изображение калибровочного импульса Рис. 5. Схематичное изображение калибровочного импульса Рис. 5. Схематичное изображение калибровочного импульса Таким образом в предусилитель инжектируется в течение нескольких
наносекунд известный заряд 𝑞= C𝑐𝑎𝑙𝑈𝑐𝑎𝑙. Предусилитель интегрирует входной токовый импульс (осуществляет
преобразование импульса тока в импульс напряжения) и импульс
напряжения на выходе имеет вид 𝑈= 𝐻(𝑡) 𝑞
C𝑓𝑏𝑒
−
𝑡
C𝑓𝑏R𝑓𝑏 , где 𝐻(𝑡) – функция
Хэвисайда, C𝑓𝑏, R𝑓𝑏 емкость и сопротивление обратной связи предусилителя
соответственно. После этого сигнал поступает на УФ (усилитель формирователь), схема
которого показана на Рис.6. 7
Рис. 6. Схема простейшего CR-RC усилителя-формирователя
U ВЫХ
U ВХ U 7
Рис. 6. Схема простейшего CR-RC усилителя-формирователя Видно, что он состоит из дифференцирующей и интегрирующей цепочек. УФ осуществляет фильтрацию и усиление входного сигнала, сигнал
на выходе УФ имеет вид 𝑈вых = 𝐴𝑡𝑒(−𝑡
𝜏), 𝜏= 3 мкс На самом деле, настоящий УФ Ortec-570 устроен сложнее (дополнительные
интегрирующие звенья и т. д.), но в любом случае график сигнала на его
выходе представляет собой колоколообразную кривую и амплитуда в
максимуме пропорциональна втёкшему заряду 𝑞. Поэтому измерив этот
максимум с помощью АЦП, можно получить величину заряда. После УФ сигнал разветвляется, одна линия поступает через аттенюатор
(АТТ) на вход аналого-цифрового преобразователя (АЦП), другая линия
через дискриминатор идёт на линию задержки и потом через формирователь
импульсов на управляющий вход АЦП. Во время эксперимента с
осциллографа ведётся контроль за тем, чтобы запускать АЦП от сигнала, а не
от шумов, для чего настраивают порог дискриминатора и величину задержки. Электронный шум в цепи состоит из двух компонент: тепловой шум и
дробовой шум. После УФ сигнал разветвляется, одна линия поступает через аттенюатор
(АТТ) на вход аналого-цифрового преобразователя (АЦП), другая линия
через дискриминатор идёт на линию задержки и потом через формирователь
импульсов на управляющий вход АЦП. Во время эксперимента с
осциллографа ведётся контроль за тем, чтобы запускать АЦП от сигнала, а не
от шумов, для чего настраивают порог дискриминатора и величину задержки. 𝑄2
̅̅̅̅ = 𝑄2
̅̅̅̅
тепл + 2𝑒𝜏𝐼𝑔𝑓𝑠ℎ𝐹, где 𝑄2
̅̅̅̅ – дисперсия шумового заряда
(приведённого ко входу предусилителя), 𝑄2
̅̅̅̅
тепл – дисперсия шумового
заряда, связанного с тепловыми флуктуациями зарядов в цепи (приведённого
ко входу предусилителя). В данном случае интересует именно вторая
компонента 2𝑒𝜏𝐼𝑔𝑓𝑠ℎ𝐹 – дробовой шум, где 𝐼 – ток протекающий через
фотодиод (является суммой темнового и фото тока), 𝜏= 3 мкс – время
формирования УФ и 𝑓𝑠ℎ= 1.55 ± 0.06 , зависящий от реальных
особенностей УФ (эффективное время интегрирования). Флуктуации лавины (как её электронной, так и дырочной компоненты)
описываются фактором избыточного шума, 𝐹. Рис. 5. Схематичное изображение калибровочного импульса Если при одном напряжении
измерить 𝑄2
̅̅̅̅
свет и 𝑄2
̅̅̅̅
темн шумы с засветкой и без, то их разница 𝑄2
̅̅̅̅
свет − 8 𝑄2
̅̅̅̅
т н = 2𝑒𝜏𝐼𝑔𝑓𝑠ℎ𝐹 ведь остальные члены одинаковы и сократятся. Отсюда темн формула (1) для расчётов 𝐹(𝑈ЛФД) =
𝑄2
̅̅̅̅свет− 𝑄2
̅̅̅̅темн
2𝑒𝜏𝐼фото(𝑈ЛФД)𝑔(𝑈ЛФД)𝑓𝑠ℎ 𝐼фото = 𝐼свет −𝐼темн Методика проведения и результаты эксперимента Измерение темнового тока Измерение темнового тока
Чтобы обеспечить хорошую светоизоляцию и не было «засветки», сам диод
должен находиться в непроницаемой защитной коробке, дополнительно
обернутой темной тканью. Эксперимент начинается с измерения темнового тока, для этого
устанавливается высокое напряжение с источника, ЛФД подключен к своим
зажимам (в соответствие с “цоколёвкой”, таким образом, что на p-n переход
подано обратное напряжение). Соответственно, по падению напряжения на
вольтметре B7-40/4 и по известным сопротивлениям можно установить
величину тока в цепи. По закону Ома Iтемн =
𝑈𝑉
Rэф , где 𝑈𝑉 падение
напряжения на вольтметре. Эффективное сопротивление параллельно
соединённых сопротивления и вольтметра Rэф = 5.05 мОм . Поскольку во
всех измерениях интерес представляют именно зависимости от напряжения
на фотодиодных зажимах (далее 𝑈ЛФД ), можно, отняв из 𝑈ВВИ (напряжения
на ВВИ) падение на эквивалентном сопротивлении цепочки резисторов
( R∑= 116.5мОм) получить требуемое 𝑈ЛФД = 𝑈ВВИ −R∑ Iтемн или численно
𝑈ЛФД = 𝑈ВВИ −23.1 ∙𝑈𝑉. 9 9 Рис. 7. Схема для измерения темнового тока
U ЛФД Рис. 7. Схема для измерения темнового тока Перед измерением темнового тока ЛФД был измерен ток утечек
(Таблица 1), который связан с большим, но не бесконечным сопротивлением
изоляции между гнёздами входного разъёма. U ВВИ, В
Uv вольтметр, мВ U ЛФД, В I утечки, нA
102,4
1,2
102,4
0,24
203
2,1
202,9
0,42
305
3
304,9
0,59
405
3,9
404,9
0,77
505
5
504,9
0,99 Таблица 1. Ток утечки на разъёме ЛФД в зависимости от напряжения ВВИ. 10 Ток утечек в зависимости от напряжения, подаваемого на разъём, показан на
Рис. 8. Из рис. видно, что сопротивление изоляции между гнёздами разъёма
около 500 ГОм, что является достаточным для проводимых измерений. 11
около 500 ГОм, что является достаточным для проводимых измерений
Рис. 8. Зависимость тока утечки от напряжения на разъёме ЛФД
U ВВИ, В
Uv вольтметр, мВ U ЛФД, В
I темновой, нA
10,1
1,5
10,1
0,3
51,2
5,5
51,1
1,1
102,1
9,4
101,9
1,9
151,3
14
151,0
2,8
203
26
202,4
5,2
253
40,8
252,1
8,1
305
61,8
303,6
12,2
356
95,7
353,8
19,0
386
139,6
382,8
27,6
405
191,6
400,6
37,9
415
236,7
409,5
46,9
425
303,1
418,0
60,0
0
100
200
300
400
500
600
0
0,2
0,4
0,6
0,8
1
1,2
U ЛФД, В
I утечки, нA 11
Рис. 8. Методика проведения и результаты эксперимента Зависимость тока утечки от напряжения на разъёме ЛФД
U ВВИ, В
Uv вольтметр, мВ U ЛФД, В
I темновой, нA
10,1
1,5
10,1
0,3
51,2
5,5
51,1
1,1
102,1
9,4
101,9
1,9
151,3
14
151,0
2,8
203
26
202,4
5,2
253
40,8
252,1
8,1
305
61,8
303,6
12,2
356
95,7
353,8
19,0
386
139,6
382,8
27,6
405
191,6
400,6
37,9
415
236,7
409,5
46,9
425
303,1
418,0
60,0
0
100
200
300
400
500
600
0
0,2
0,4
0,6
0,8
1
1,2
U ЛФД, В
I утечки, нA 0
100
200
300
400
500
600
0
0,2
0,4
0,6
0,8
1
1,2
U ЛФД, В
I утечки, нA Рис. 8. Зависимость тока утечки от напряжения на разъёме ЛФД Рис. 8. Зависимость тока утечки от напряжения на разъёме ЛФД 11
Рис. 8. Зависимость тока утечки от напряжения на разъёме ЛФД
U ВВИ, В
Uv вольтметр, мВ U ЛФД, В
I темновой, нA
10,1
1,5
10,1
0,3
51,2
5,5
51,1
1,1
102,1
9,4
101,9
1,9
151,3
14
151,0
2,8
203
26
202,4
5,2
253
40,8
252,1
8,1
305
61,8
303,6
12,2
356
95,7
353,8
19,0
386
139,6
382,8
27,6
405
191,6
400,6
37,9
415
236,7
409,5
46,9
425
303,1
418,0
60,0 11 435
402,1
425,7
79,6
445
553,6
432,2
109,6
455
773,6
437,1
153,2
465
1057,1
440,6
209,3 Таблица. 2. Темновой ток ЛФД (I темн) в зависимости от напряжения
смещения ЛФД (U ЛФД). Данные, представленные в Таблице 2, использованы для построения графика
на рис. 9. Рис. 9. Темновой ток в зависимости от напряжения смещения ЛФД
0,1
1
10
100
1000
0
50
100
150
200
250
300
350
400
450
500
I, нA
U ЛФД, В Р
9 Т
й
ЛФД
0,1
1
10
100
1000
0
50
100
150
200
250
300
350
400
450
500
I, нA
U ЛФД, В Рис. 9. Темновой ток в зависимости от напряжения смещения ЛФД Из рис.9 видно, что напряжение пробоя ЛФД около 450 В. Из рис.9 видно, что напряжение пробоя ЛФД около 450 В. Имеет значение температура при которой проводятся измерения, ведь вместе
с ней меняются характеристики ЛФД. В процессе измерений фиксировались 12 также показания термометра. При измерениях температура менялась не более
чем на 0,5 °C, каждую серию измерений проводили за один раз, специально
чтобы не менять условия, поэтому связанные с температурой погрешности
незначительны. Фототок Проведя такие же по принципу измерения, но с засветкой фотодиодом можно
построить зависимость 𝐼свет(𝑈ЛФД). В работе используются два типа диодов:
первый ARL-3214URC-6cd (красный с длинной волны 620 – 635 нм) и L-
7104UVC (ультрафиолетовый в диапазоне 385-415 нм). При измерении
коэффициента усиления постоянная засветка при 𝑈ЛФД = 10В
устанавливалась такой, чтобы фототок через ЛФД был равен около 5нА. Коэффициент усиления Лавинный фотодиод обеспечивает внутреннее усиление за счёт эффекта
лавинного умножения. Известно, что при 𝑈ЛФД = 10В усиления нет. Коэффициент усиления 𝑔(𝑈ЛФД) =
𝐼фото(𝑈ЛФД)
𝐼фото(10 В) =
𝐼свет(𝑈ЛФД)−𝐼темн(𝑈ЛФД)
𝐼свет(10 В)−𝐼темн(10 В). Планки погрешностей маленькие, и оказались меньше маркеров-точек, что
видно из рис. 10 и рис. 11. Планки погрешностей маленькие, и оказались меньше маркеров-точек, что
видно из рис. 10 и рис. 11. 13 Рис. 10. Зависимость коэффициента усиления g от напряжения смещения
ЛФД для красного светодиода. 0
50
100
150
200
250
300
350
400
450
500
0,1
1
10
100
1000
U ЛФД, В
g 0
50
100
150
200
250
300
350
400
450
500
0,1
1
10
100
1000
U ЛФД, В
g Рис. 10. Зависимость коэффициента усиления g от напряжения смещения
ЛФД для красного светодиода. Рис. 11. Зависимость коэффициента усиления g от напряжения смещения
ЛФД для ультрафиолетового светодиода. 0
50
100
150
200
250
300
350
400
450
500
0,1
1
10
100
1000
U ЛФД, В
g Рис. 11. Зависимость коэффициента усиления g от напряжения смещения
ЛФД для ультрафиолетового светодиода. 14 Измерение фактора избыточного шума Измерение фактора избыточного шума Запустив большое количество калибровочных импульсов, с помощью АЦП
набирают статистику из соответствующего количества амплитуд сигнала,
поступившего с УФ, затем строят гистограмму и фитируют её гауссовским
распределением. Таким образом, получают среднее значение амплитуды за
множество измерений и среднеквадратическое отклонение 𝜎= √𝑄2
̅̅̅̅. Фактор избыточного шума рассчитывался по формуле (1) он показан на ножество измерений и среднеквадратическое отклонение 𝜎= √𝑄2
̅̅̅̅. Фактор избыточного шума рассчитывался по формуле (1), он показан на
Рис. 12 и 13. Рис. 12. Зависимость фактора избыточного шума от напряжения
смещения ЛФД для ультрафиолетового света
0
50
100
150
200
250
300
350
400
450
500
0
0,5
1
1,5
2
2,5
U ЛФД, В
F 0
50
100
150
200
250
300
350
400
450
500
0
0,5
1
1,5
2
2,5
U ЛФД, В
F Рис. 12. Зависимость фактора избыточного шума от напряжения
смещения ЛФД для ультрафиолетового света 15 Рис. 13. Зависимость фактора избыточного шума от напряжения на ЛФД
для красного света
0
50
100
150
200
250
300
350
400
450
500
0
1
2
3
4
5
6
7
8
U ЛФД, В
F 0
50
100
150
200
250
300
350
400
450
500
0
1
2
3
4
5
6
7
8
U ЛФД, В
F Рис. 13. Зависимость фактора избыточного шума от напряжения на ЛФД
для красного света Для напряжений смещения ЛФД меньше 350 В погрешность измерения F
велика. Показаны величины F для напряжений смещения Для напряжений смещения ЛФД меньше 350 В погрешность измерения F
велика. Показаны величины F для напряжений смещения
ЛФД 200, 250, 300 В; при меньших напряжениях погрешность F становится
равной около 100%. Таким образом, в диапазоне напряжений смещения ЛФД Для напряжений смещения ЛФД меньше 350 В погрешность измерения F
велика. Показаны величины F для напряжений смещения
ЛФД 200, 250, 300 В; при меньших напряжениях погрешность F становится
равной около 100%. Таким образом, в диапазоне напряжений смещения ЛФД
до 300 В фактор избыточного шума согласуется с теоретически ожидаемым
F=1 в пределах больших погрешностей измерения. Также представляет интерес зависимость фактора избыточного шума от
коэффициента уcиления, показанная на рис. 14 и рис 15. 16 Рис. 14. Зависимость фактора избыточного шума от коэффициента
усиления для ультрафиолетового светодиода
Рис. 15. Зависимость фактора избыточного шума от коэффициента
усиления для красного светодиода
Для того, чтобы эти результаты для разных длин волн были более
наглядными, построен график (см. рис. 16). Измерение фактора избыточного шума 0
20
40
60
80
100
120
140
160
180
200
0
0,5
1
1,5
2
2,5
g
F
0
20
40
60
80
100
120
140
160
180
200
0
1
2
3
4
5
6
7
8
g
F Рис. 14. Зависимость фактора избыточного шума от коэффициента
усиления для ультрафиолетового светодиода
0
20
40
60
80
100
120
140
160
180
200
0
0,5
1
1,5
2
2,5
g
F 0
20
40
60
80
100
120
140
160
180
200
0
0,5
1
1,5
2
2,5
g
F g Рис. 14. Зависимость фактора избыточного шума от коэффициента
усиления для ультрафиолетового светодиода
Рис. 15. Зависимость фактора избыточного шума от коэффициента
усиления для красного светодиода
Для того, чтобы эти результаты для разных длин волн были более
наглядными, построен график (см. рис. 16). 0
20
40
60
80
100
120
140
160
180
200
0
1
2
3
4
5
6
7
8
g
F Рис. 14. Зависимость фактора избыточного шума от коэффициента
усиления для ультрафиолетового светодиода 0
20
40
60
80
100
120
140
160
180
200
0
1
2
3
4
5
6
7
8
g
F g Рис. 15. Зависимость фактора избыточного шума от коэффициента
усиления для красного светодиода
Для того, чтобы эти результаты для разных длин волн были более Рис. 15. Зависимость фактора избыточного шума от коэффициента
усиления для красного светодиода Для того, чтобы эти результаты для разных длин волн были более
наглядными, построен график (см. рис. 16). 17 17 Рис. 16. Фактор избыточного шума в зависимости от напряжения на ЛФД,
комбинированный график для ультрафиолетового и красного светодиодов
U ЛФД, В U ЛФД, В Рис. 16. Фактор избыточного шума в зависимости от напряжения на ЛФД,
комбинированный график для ультрафиолетового и красного светодиодов Выводы и заключение В курсовой работе мной были проведены измерения основных характеристик
лавинного фотодиода Hamamatsu APD S8664-1010: темнового тока,
коэффициента усиления и фактора избыточного шума для двух длин волн
детектируемого света, 400 нм и 630 нм. Из результатов можно сделать следующие выводы: - темновой ток стремительно увеличивается с приближением напряжения на
ЛФД к напряжению пробоя. - коэффициент усиления ЛФД (g) при увеличении напряжения возрастает по
кривой, напоминающей экспоненту, при этом его значение немного меньше
для красной длины волны, как видно из рис.17. - коэффициент усиления ЛФД (g) при увеличении напряжения возрастает по
кривой, напоминающей экспоненту, при этом его значение немного меньше
для красной длины волны, как видно из рис.17. 18 Рис. 17. Коэффициент усиления (g) в зависимости от напряжения ЛФД,
комбинированный график для ультрафиолетового и красного светодиодов
0
50
100
150
200
250
300
350
400
450
500
0,1
1
10
100
1000
U ЛФД, В
g
Ряд2
U_APD,V
Ультрафиолетовый светодиод
Красный светодиод Рис. 17. Коэффициент усиления (g) в зависимости от напряжения ЛФД,
комбинированный график для ультрафиолетового и красного светодиодов
0
50
100
150
200
250
300
350
400
450
500
0,1
1
10
100
1000
U ЛФД, В
g
Ряд2
U_APD,V
Ультрафиолетовый светодиод
Красный светодиод Рис. 17. Коэффициент усиления (g) в зависимости от напряжения ЛФД,
комбинированный график для ультрафиолетового и красного светодиодов - зависимость фактора избыточного шума от коэффициента усиления,
различна для ультрафиолетового и красного светодиодов, причём с красным
светодиодом (т. е. для большей длины волны) показатель F при одинаковых g
выше, и разница немного увеличивается с ростом показателя g (рис. 18). - зависимость фактора избыточного шума от коэффициента усиления,
различна для ультрафиолетового и красного светодиодов, причём с красным
светодиодом (т. е. для большей длины волны) показатель F при одинаковых g
выше, и разница немного увеличивается с ростом показателя g (рис. 18). 19 Рис. 18. Фактор избыточного шума в зависимости от коэффициента
усиления, комбинированный график для ультрафиолетового и красного
светодиодов Рис. 18. Фактор избыточного шума в зависимости от коэффициента
усиления, комбинированный график для ультрафиолетового и красного
светодиодов Заметное увеличение фактора избыточного шума ЛФД при засветке
ЛФД красным светом (с длиной волны 630 нм) по сравнению со случаем
засветки ультрафиолетовым светом (с длиной волны 400 нм) связана с
большим (более чем в 30 раз) увеличением длины поглощения красного
света в кремнии. ультрафиолетового 1,36 ± 0,03.
В счётчиках на основе кристаллов чистого CsI и
ЛФД Hamamatsu S8664-1010 использование дополнительного
спектросместителя с NOL-9 приведёт к увеличению вклада статистики
фотоэлектронов в энергетическое разрешение калориметра не более чем
на (√
1.78
1.36 −1) ∙100% = 14%, что удовлетворяет проектным требованиям к
калориметру.
Список использованной литературы
1. T. Aushev et al., arXiv:1002.5012 [hep-ex], T. Abe et
al. [Belle-II Collaboration], arXiv:1011.0352 [physics.ins-det]
2. A. J. Bevan et al. [BaBar and Belle Collaborations], Eur. Phys. J C 74 (2014)
3026
3. H. Aihara et al., PoS (PhotoDet2015) 052,
http://cmd.inp.nsk.su/~epifanov/PhotoDet2015_052.pdf
4. http://www.luminnotech.com/
5. http://www.hamamatsu.com/jp/en/S8664-55.html
6. Д. А. Епифанов, доклад на 22-ом общем собрании коллаборации Belle II
19-23 Октября 2015 г. В счётчиках на основе кристаллов чистого CsI и В счётчиках на основе кристаллов чистого CsI и
ЛФД Hamamatsu S8664-1010 использование дополнительного
спектросместителя с NOL-9 приведёт к увеличению вклада статистики
фотоэлектронов в энергетическое разрешение калориметра не более чем на (√
1.78
1.36 −1) ∙100% = 14%, что удовлетворяет проектным требованиям к на (√
1.78
1.36 −1) ∙100% = 14%, что удовлетворяет проектным требованиям к
калориметру. калориметру. калориметру. Выводы и заключение При этом фактор избыточного шума для красного света
начинает определяться не только флуктуациями развития лавины, но и чисто
геометрическим фактором флуктуации коэффициента усиления ЛФД
(индуцированным большим разбросом точки поглощения красного света в
ЛФД). Обычно с ЛФД работают при таком напряжении, которое обеспечивает
коэффициент усиления g = 50. При этом значении g, как видно из рис.18, 20 20 фактор избыточного шума для красного света равен 1,78 ± 0,05, а для
ультрафиолетового - 1,36 ± 0,03. Список использованной литературы 1. T. Aushev et al., arXiv:1002.5012 [hep-ex], T. Abe et
al. [Belle-II Collaboration], arXiv:1011.0352 [physics.ins-det]
2. A. J. Bevan et al. [BaBar and Belle Collaborations], Eur. Phys. J C 74 (2014)
3026
3. H. Aihara et al., PoS (PhotoDet2015) 052,
http://cmd.inp.nsk.su/~epifanov/PhotoDet2015_052.pdf
4. http://www.luminnotech.com/
5. http://www.hamamatsu.com/jp/en/S8664-55.html
6. Д. А. Епифанов, доклад на 22-ом общем собрании коллаборации Belle II
19-23 Октября 2015 г. 1. T. Aushev et al., arXiv:1002.5012 [hep-ex], T. Abe et
al. [Belle-II Collaboration], arXiv:1011.0352 [physics.ins-det] 1. T. Aushev et al., arXiv:1002.5012 [hep-ex], T. Abe et
al. [Belle-II Collaboration], arXiv:1011.0352 [physics.ins-det] 2. A. J. Bevan et al. [BaBar and Belle Collaborations], Eur. Phys. J C 74 (2014)
3026 3. H. Aihara et al., PoS (PhotoDet2015) 052,
http://cmd.inp.nsk.su/~epifanov/PhotoDet2015_052.pdf
4. http://www.luminnotech.com/
5. http://www.hamamatsu.com/jp/en/S8664-55.html
6. Д. А. Епифанов, доклад на 22-ом общем собрании коллаборации Belle II
19-23 Октября 2015 г. 21
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Ultrahigh Energy Storage Properties in (Sr0.7Bi0.2)TiO3-Bi(Mg0.5Zr0.5)O3 Lead-Free Ceramics and Potential for High-Temperature Capacitors
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Materials
| 2,020
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cc-by
| 7,393
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materials
Article
Ultrahigh Energy Storage Properties in
(Sr0.7Bi0.2)TiO3-Bi(Mg0.5Zr0.5)O3 Lead-Free Ceramics
and Potential for High-Temperature Capacitors
Xi Kong , Letao Yang, Zhenxiang Cheng and Shujun Zhang *
ISEM, Australian Institute of Innovative Materials, University of Wollongong, Wollongong NSW 2500, Australia;
xk759@uowmail.edu.au (X.K.); ly742@uowmail.edu.au (L.Y.); cheng@uow.edu.au (Z.C.)
* Correspondence: shujun@uow.edu.au
Received: 24 November 2019; Accepted: 28 December 2019; Published: 1 January 2020
Abstract: Due to the enhanced demand for numerous electrical energy storage applications, including
applications at elevated temperatures, dielectric capacitors with optimized energy storage properties
have attracted extensive attention. In this study, a series of lead-free strontium bismuth titanate based
relaxor ferroelectric ceramics have been successfully synthesized by high temperature solid-state
reaction. The ultrahigh recoverable energy storage density of 4.2 J/cm3 under 380 kV/cm, with
the high efficiency of 88%, was obtained in the sample with x = 0.06. Of particular importance
is that this ceramic composition exhibits excellent energy storage performance over a wide work
temperature up to 150 ◦ C, with strong fatigue endurance and fast discharge speed. All these merits
demonstrate the studied ceramic system is a potential candidate for high-temperature capacitors as
energy storage devices.
Keywords: dielectric capacitors; lead-free; high temperature; energy storage
1. Introduction
Dielectric capacitors have been widely used as energy-storage components in various electronic
and electrical applications [1,2], with more focus in high-power and pulse-power applications, because
of their higher power density, faster charge–discharge rate, and robustness when compared with fuel
cells and batteries [3]. However, the energy density of dielectric capacitors is usually lower than other
energy storage devices, which limits their applications. In addition, modern dielectric capacitors are
challenged by operating under high-temperature environments, for example, the power inverters
used for hybrid vehicles are operated at temperatures over 140 ◦ C [4] and the devices for exploring
underground oil or gas are required to withstand temperature over 200 ◦ C [5]. The low glass transition
point of present commercial polymer capacitors limit their applications at elevated temperature [6]. In
contrast, ceramic capacitors benefit from their inorganic structure, and so are more capable for hard
environments. However, the energy efficiency of ceramic capacitors usually reduces as the operating
temperature increases due to the leakage current and/or space charge effect [2]. The reduced energy
efficiency at elevated temperature corresponds to severe energy dissipation in the form of heat, raising
the concerns of device stability and reliability. Therefore, a demand exists for exploration of high
temperature dielectric ceramics with good energy storage properties.
The energy density and efficiency of capacitors can be calculated by the following the Equations:
Pmax
Z
W =
EdP,
(1)
0
Materials 2020, 13, 180; doi:10.3390/ma13010180
www.mdpi.com/journal/materials
Materials 2020, 13, 180
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Z
Pmax
Wrec =
EdP,
(2)
Pr
Wrec
× 100%,
(3)
W
where W and W rec represent the stored energy density and recoverable energy density. The energy
efficiency (η) is defined by the ratio between W rec and W. It can be seen that high maximum polarization
(Pmax ), low remnant polarization (Pr ), and high breakdown strength (BDS) relating to the various
electric field will greatly benefit the recoverable energy density and energy efficiency. However, the
Pmax or Pr for many dielectric materials are strongly temperature-dependent [7], leading to inferior
stability of the dielectric capacitors. In addition, at elevated temperature, the trapped charges existing
in the ceramics gain enough energy and contribute to the conductivity, resulting in an increased leakage
current and decreased energy efficiency, which will accelerate thermal breakdown of the ceramics by
generating more heat [8,9]. The opposite way, the capacitors with high energy efficiency could operate
at elevated temperature without additional cooling devices, which reduces the volume and cost of the
whole system. Many lead-containing materials attracted wide attention as energy storage capacitors in
last few decades due to their excellent properties, such as PbZrO3 and (Pb,La)(Zr,Ti)O3 (PLZT)-based
systems [10,11]. However, considering the environmental and health concerns of the lead component,
lead-free dielectrics have been the mainstay in research over the last 20 years.
Strontium titanate (SrTiO3 , ST) has been extensively studied for energy storage applications
in the past few years due to its high permittivity (~300), low dielectric loss (<1%) and relatively
high BDS (~200 kV/cm) [12]. Many efforts have been attempted for improving the energy storage
properties of ST, such as modification with the Bi3+ cation, Ca2+ cation or rare earth cations for
increasing permittivity [13–15], meanwhile enhancing the BDS [12]. Of particular importance is that the
bismuth-containing relaxor ferroelectrics have attracted increasing attention as promising alternatives
for lead-free relaxors, due to the fact that the Bi3+ ions possess the lone-pair electronic configuration
6s2 being analogous to Pb2+ ions, which can be hybridized with O 2p orbitals, resulting the high
saturation polarization. It was reported that bismuth-modified strontium titanate ((Sr0.7 Bi0.2 )TiO3
abbreviated to SBT) dielectric material exhibited strong relaxor-like behavior, showing smeared phase
transition temperature and high polarization [14], while the energy storage density of 1.63 J/cm3 at
217.6 kV/cm was reported for relaxor ceramic (Sr0.85 Bi0.1 )TiO3 [16]. In addition, SBT has been selected
as an endmember to form solid solutions with other compounds to improve the dielectric and energy
storage properties. It was reported that a 0.55(Na0.5 Bi0.5 )TiO3 –0.45SBT multilayer ceramic capacitor
showed a high energy density of 9.5 J/cm3 and energy efficiency of 92% at 720 kV/cm [17]. Although
the maximum energy density of 48.5 J/cm3 was obtained in 0.9SBT–0.1BiFeO3 thin-film capacitor, the
energy efficiency was relatively low (48%) [18].
Based on the unique relaxor characteristic of Bi-based compound, in order to improve the
temperature stability and energy storage density, numerous Bi(Me0 Me”)O3 (Me0 = Mg2+ , Zn2+ ;
Me” = Ti4+ , Nb5+ , et al.) endmembers have been attempted for dielectric solid solutions. For
example, BaTiO3 –Bi(Me0 Me”)O3 ceramics transfer from typical ferroelectric to relaxor with increasing
Bi(Me0 Me”)O3 concentration, showing improved temperature stability, low dielectric loss, as well as
improved energy efficiency [9,19–23]. Among these solid solutions, 0.7BaTiO3 –0.3Bi(Mg0.5 Zr0.5 )O3 was
found to exhibit high stability over a wide temperature range from −20 ◦ C to 430 ◦ C with low permittivity
variation (< ±15%) and relatively low loss (~2%) [24]. Therefore, in this work, Bi(Mg0.5 Zr0.5 )O3 -modified
SBT relaxor ferroelectric solid solution (1-x)(Sr0.7 Bi0.2 )TiO3 -xBi(Mg0.5 Zr0.5 )O3 ((1-x)SBT-xBMZ) was
fabricated, and its energy storage properties were studied in detail. A high energy storage density
of 4.2 J/cm3 at applied electric field of 380 kV/cm was obtained for the x = 0.06 sample. The energy
efficiency at 200 kV/cm was maintained above 90% over the temperature range of 25 ◦ C to 125 ◦ C,
exhibiting an excellent temperature stability.
η =
Materials 2020, 13, 180
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2. Materials and Methods
(1-x)SBT-xBMZ ceramics with x = 4%, 6%, 8%, 10%, 15% (abbreviated as 4BMZ, 6BMZ, 8BMZ,
10BMZ, and 15BMZ, respectively) were fabricated by a conventional high-temperature solid state
reaction method using reagent powders SrCO3 (99.9%, Alfa Aesar, Haverhill, MA, USA), TiO2 (99.0%,
Strem Chemicals, Newburyport, MA, USA), Bi2 O3 (99.9%, Alfa Aesar), MgO (99.0%, Alfa Aesar), and
ZrO2 (99.7%, Alfa Aesar). These powders were baked at 150 ◦ C for 12 h to remove the absorbed
moisture and then stoichiometrically weighed with the addition of 1–2% excess MgO [25]. The mixed
powders were ball milled for 12 h with ethanol as medium. Thereafter, the powders were re-milled
again after calcination at 900 ◦ C for 2 h. The median particle size of re-milled powers were around
0.5–0.7 µm. Then 0.2 wt % Rhoplex binder was added to the slurry of each composition and the
mixtures were ball-milled for 2 h. The slurries with binder were dried, granulated, and sieved. Then
the dried powders were pressed into 15-mm-diameter pellets. In order to increase the green density,
these pellets were pressed under an isostatic pressure of 200 MPa for 10 min after burning out the
binder at 600 ◦ C. The pellets were sintered at 1200–1250 ◦ C for 2 h with self-source powder in a closed
crucible. For dielectric and electrical measurements, the silver electrodes and gold electrodes were
prepared on polished parallel sample surfaces, respectively. In addition, the pellets were polished
to ~100 µm for P-E and breakdown strength measurements. The X-ray diffraction patterns were
recorded on a diffractometer (GBC MMA XRD) using Cu Kα radiation with the ground pellets. The
microstructure information of polished and thermally etched surfaces were collected using scanning
electron microscopy (SEM) (JSM-7500FA, JEOL, Akishima Tokyo). Grain size distributions were
calculated using Nano Measurer by measuring the selected area of SEM images. In order to measure
the dielectric properties of the studied samples, silver electrodes were fired on both sides of polished
samples. The dielectric data was collected on a LCR meter (4980AL, Keysight, Santa Rosa, CA, USA)
from 100 Hz to 1 MHz over temperature range of −100 ◦ C to 400 ◦ C. For the electrical measurements,
various electric fields were applied to the sample at 10 Hz and room temperature using a ferroelectric
tester (TF2000, aixACCT, Aachen, Germany) to obtain P-E hysteresis loops. Thermal stability and
fatigue endurance were measured at 200 kV/cm from 25–150 ◦ C and 1 to 105 cycles, respectively. The
charge–discharge rate was measured with charge–discharge system (PK-CRP1701, PolyK, State College,
PA, USA) based on the resistance–capacitance circuit with 2 kΩ load resistance.
3. Results and Discussion
3.1. Phase Structure and Microstructure Characterization
The XRD patterns of (1−x)SBT-xBMZ ceramics with x = 4–15% are shown in Figure 1a. It can be
seen that all samples exhibit pseudocubic perovskite structure, as evidenced by the single (111) and
(200) peaks. Figure 1b shows the enlarged (200) peaks shifting to a lower angle with increasing BMZ
concentration, corresponding to the expansion of unit cell volume. It can be attributed to the larger
effective ionic radius (r) of (Mg0.5 Zr0.5 )3+ (r (Mg0.5 Zr0.5 )3+ = 0.72 Å calculated from the average ionic
radii of Mg2+ and Zr4+ ) than that of Ti4+ (r(Ti4+ ) = 0.605 Å) on the B-site. The lattice parameters are
obtained from XRD patterns, the linearly increasing trend with BMZ concentration from x = 4% to
15% can be seen in Figure 1c. An additional peak around 30◦ corresponding to the secondary phase
Bi2 Ti2 O7 was observed for BMZ in the range of 6–8%, above which, the secondary phase was changed
to Sr2 Bi4 Ti5 O18 [25]. The densities of SBT-BMZ samples are above 95% theoretical, being 5.46 g/cm3 for
x = 0.04, slightly increasing to 5.68 g/cm3 for x = 0.15.
Materials
Materials2020,
2020,13,
13,180
x FOR PEER REVIEW
44 ofof1313
(a)
(b)
(c)
Figure1.1.(a)
(a)XRD
XRDpatterns
patterns
(1−x)(Sr
)TiO
3-xBi(Mg0.5Zr
0.5)O
)O33 ceramics;
(b) enlarged
enlargeddiffraction
diffraction
Figure
of of
(1−x)(Sr
BiBi
)TiO
ceramics; (b)
0.70.7
0.20.2
3 -xBi(Mg
0.5 Zr0.5
◦ toto
◦ of of
0.7
Bi
0.2
)TiO
3-xBi(Mg0.5Zr
Zr
0.5)O3 ceramics;
the
lattice
parameters
peaksfrom
from
(1−x)(Sr
peaks
4646°
4747°
(1−x)(Sr
Bi
)TiO
-xBi(Mg
ceramics;
(c)
the
lattice
parameters
asasa a
0.7 0.2
3
0.5 0.5 3
function
of
BMZ
concentration.
function of BMZ concentration.
The
TheSEM
SEMimages
imagesofofstudied
studiedceramics
ceramicswith
withthermally
thermallyetched
etchedsurface
surfaceare
areshown
shownininFigure
Figure2.2.All
All
(1−x)SBT-xBMZ
not
only
show
minimal
porosity
but also
fine grains
with average
grain
(1−x)SBT-xBMZceramics
ceramics
not
only
show
minimal
porosity
but have
also have
fine grains
with average
size
smaller
than 1 µm,
Figurein2i,j.
The dense
microstructure
with fine grains
are grains
expected
grain
size smaller
thanas1 shown
μm, asin
shown
Figure
2i–j. The
dense microstructure
with fine
are
toexpected
benefit the
enhancement
of BDS [26].of BDS [26].
to benefit
the enhancement
Materials 2020, 13, 180
Materials 2020, 13, x FOR PEER REVIEW
5 of 13
5 of 13
(a)
(b)
(c)
(d)
(e)
(f)
(g)
(h)
(i)
(j)
Figure
0.7Bi0.2
)TiO3-xBi(Mg0.5Zr0.5)O3 ceramics: (a) x = 4%; (b) x = 6%; (c) x = 8%; (d) x =
Figure 2.
2. SEM
SEM micrographs
micrographsof
ofthe
thepolished
polishedand
andthermally
thermallyetched
etchedsurfaces
surfacesfor
for(1−x)(Sr
(1−x)(Sr
0.7 Bi0.2 )TiO3 -xBi(Mg0.5 Zr0.5 )O3 ceramics: (a) x = 4%; (b) x = 6%; (c) x = 8%;
0.7
Bi
0.2
)TiO
3
-xBi(Mg
0.5
Zr
0.5
)O
3
ceramics:
(f)
x
=
4%;
= 6%;
10%;
(e)
x
=
15%;
The
grain
size
of
(1−x)(Sr
(d) x = 10%; (e) x = 15%; The grain size of (1−x)(Sr0.7 Bi0.2 )TiO3 -xBi(Mg0.5 Zr0.5 )O3 ceramics: (g)
(f) xx =
4%; (h)
(g) xx == 8%;
6%; (i)
(h)xx==10%;
8%; (j)
(i) xx ==15%.
10%; (j) x = 15%.
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Materials 2020, 13, 180
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3.2. Dielectric and Energy-Storage Characterizations for (1−x)SBT-xBMZ Ceramics
The dielectric
properties ofCharacterizations
BT-Bi(Me’Me”)Ofor
3-based
ceramics have
been widely investigated to
3.2. Dielectric
and Energy-Storage
(1−x)SBT-xBMZ
Ceramics
acquire deeper understanding, including the relationship of relative dielectric permittivity (εr) and
The dielectric
properties of
BT-Bi(Me0 Me”)O3 -based
ceramics
have
been
widely
investigated
to
the component
Bi(Me’Me”)O
3 endmember. Several
previous
studies
show
that
the phase
transition
acquire
deeper
understanding,
including
the
relationship
of
relative
dielectric
permittivity
(ε
)
and
r
peaks became broader and smeared with increasing Bi(Me’Me”)O3 substitutions in BT-Bi(Me’Me”)O
3
0 Me”)O endmember. Several previous studies show that the phase transition
the
component
Bi(Me
3
solid solutions, leading to the enhancement of thermal stability [23,24,27,28]. Figure 3a–e shows the
0 Me”)O substitutions in BT-Bi(Me0 Me”)O
peaks
becamedependence
broader and of
smeared
with
increasing Bi(Me
3
3
temperature
dielectric
permittivity
(εr) and
loss (tanδ)
for (1−x)SBT-xBMZ ceramics.
solid
solutions,
leading
to
the
enhancement
of
thermal
stability
[23,24,27,28].
Figure
3a–e
shows
the
The smeared phase transition and frequency dispersion behavior of permittivity and dielectric loss
temperature
of dielectric
permittivity
(εr ) and
loss
(tanδ) for a(1−x)SBT-xBMZ
are observeddependence
near the dielectric
maximum
temperature
(Tm
), exhibiting
typical relaxor ceramics.
behavior.
The
smeared
phase
transition
and
frequency
dispersion
behavior
of
permittivity
and dielectric
loss−
Generally, the diffuseness of phase transition can be evaluated by modified Curie–Weiss
law 1/ε
are
observed
near
the
dielectric
maximum
temperature
(T
),
exhibiting
a
typical
relaxor
behavior.
m
1/εm = (T − Tm)γ/C, where εm and Tm represent maximum
permittivity and the corresponding
Generally,
the
diffuseness
of
phase
transition
can
be
evaluated
by modified
Curie–Weiss
lawwhile
1/ε − 1/ε
temperature, respectively. The value γ = 2 represents a complete
diffuse phase
transition
γ =m1
=represents
(T − Tm )γa/C,
where
ε
and
T
represent
maximum
permittivity
and
the
corresponding
temperature,
m
m transition [29]. In order to reduce the effects of space charge, the γ
classical ferroelectric
respectively.
The
value
γ
=
2
represents
a completeusing
diffuse
phase transition
γ =Figure
1 represents
a
values for (1-x)SBT-xBMZ ceramics are calculated
permittivity
data atwhile
1 MHz.
3f gives
classical
ferroelectric
transition
[29].
In
order
to
reduce
the
effects
of
space
charge,
the
γ
values
for
the γ values of (1-x)SBT-xBMZ ceramics, being above 1.5, indicating relaxor characteristics. With
(1-x)SBT-xBMZ
ceramics
are calculated
using (ε
permittivity
data at 1 MHz. Figure 3f gives the γ values
increasing BMZ,
the maximum
permittivity
m) at 1 kHz for ceramics with x up to 10% are similar,
of
(1-x)SBT-xBMZ
ceramics,
being
above
indicating
relaxor than
characteristics.
With
increasing BMZ,
but
the Tm increases
gradually
from
−681.5,
°C to
−27 °C, higher
the Tm of (Sr
0.7Bi0.2)TiO3 ceramics
the
maximum
permittivity
(ε
)
at
1
kHz
for
ceramics
with
x
up
to
10%
are
similar,
but
the Tm increases
m
which is around −100 °C [30]. The lower permittivity and higher dielectric loss for samples
with x =
◦ C to −27 ◦ C, higher than the T of (Sr Bi )TiO ceramics which is around
gradually
from
−68
m
0.7
0.2
3
15% may be related to the secondary phase. Of particular interest is that the dielectric loss is less than
◦ [30]. The lower permittivity and higher dielectric loss for samples with x = 15% may be related
−100
3% forCall
the studied ceramics over a wide temperature range, as shown in Table 1, exhibiting the
to
the secondary
phase.
Of particular
that the
dielectric loss
is lessInthan
3% for all
the studied
potential
of high
energy
efficiencyinterest
in theissame
temperature
range.
addition,
dielectric
loss
ceramics
over
a
wide
temperature
range,
as
shown
in
Table
1,
exhibiting
the
potential
of
high
energy
corresponds the reliability of capacitors, lower generated heat leading to the associated low
efficiency
same breakdown.
temperatureItrange.
loss corresponds
thearound
reliability
possibilityinofthe
thermal
shouldIn
beaddition,
noted thatdielectric
an additional
dielectric peak
290 of
°C
capacitors,
lower
generated
heat
leading
to
the
associated
low
possibility
of
thermal
breakdown.
It
was observed for 10BMZ and 15BMZ, as shown in Figure 3d,e. This observation can be explained by
◦
should
be notedphases
that an(Sr
additional
dielectric peak around 290 C was observed for 10BMZ and 15BMZ,
the secondary
2Bi4Ti4O15) which was reported to possess a Curie temperature around 285
as
shown
in
Figure
3d,e.
This
observation
can be explained by the secondary phases (Sr2 Bi4 Ti4 O15 )
°C [31].
which was reported to possess a Curie temperature around 285 ◦ C [31].
(a)
(b)
(c)
(d)
Figure 3. Cont.
Materials 2020, 13, 180
7 of 13
Materials 2020, 13, x FOR PEER REVIEW
Materials 2020, 13, x FOR PEER REVIEW
7 of 13
7 of 13
(e)
(f)
(e)
(f)
Figure
3. Temperature
dependence
r and tanδ of (1−x)(Sr0.7Bi0.2)TiO3-xBi(Mg0.5Zr0.5)O3 ceramics: (a)
Figure
3. Temperature
dependence
ofofεrεand
tanδ of (1−x)(Sr0.7 Bi0.2 )TiO3 -xBi(Mg0.5 Zr0.5 )O3 ceramics:
Figure
Temperature
dependence
Bi0.2)TiO
3-xBi(Mg0.5Zr0.5)O3 ceramics: (a)
m) as a function of ln (T − Tm) for
x = 3.
4%;
(b) x = 6%; (c)
x = 8%; (d)ofxε=r and
10%;tanδ
(e) xof= (1−x)(Sr
(f)0.7ln
− 1/ε
(a) x = 4%; (b) x = 6%; (c) x = 8%; (d) x = 10%;
(e) x15%;
= 15%;
(f)(1/ε
ln (1/ε
−
1/εm ) as a function of ln (T − Tm )
m) as a function of ln (T − Tm) for
x = 4%;
(b)
x
=
6%;
(c)
x
=
8%;
(d)
x
=
10%;
(e)
x
=
15%;
(f)
ln
(1/ε
−
1/ε
(1−x)(Sr0.7Bi0.2)TiO3-xBi(Mg0.5Zr0.5)O3 ceramics at 1 MHz.
for(1−x)(Sr
(1−x)(Sr
Bi
)TiO
-xBi(Mg
Zr
)O
ceramics
at
1
MHz.
0.7
0.2
3
0.5
0.5
3
0.7Bi0.2)TiO3-xBi(Mg0.5Zr0.5)O3 ceramics at 1 MHz.
Table 1. The summary of dielectric performance at 1 kHz and energy storage properties at 200 kV/cm
Table
Thesummary
summary
of
performance
at 1at
kHz
and energy
storage
properties
at 200 kV/cm
The
of3dielectric
dielectric
performance
1 kHz
and energy
storage
properties
at 200 kV/cm
Table
1.1.(1−x)(Sr
for
0.7Bi0.2)TiO
-xBi(Mg
0.5Zr
0.5)O3 ceramics.
for
(1−x)(Sr
0.7Bi0.2)TiO3-xBi(Mg0.5Zr0.5)O3 ceramics.
for (1−x)(Sr0.7 Bi0.2 )TiO3 -xBi(Mg0.5 Zr0.5 )O3 ceramics.
η @ RT
Wrec @ RT
Sample
Tm (°C)
εm
ε @ RT
tanδ @ RT
T-range (°C) tanδ < 3% Wrec @ RT 3 η @ RT
)
(%)
(J/cm
Sample T m
Tm(◦(°C)
RT
tanδ @
@ RT
RT T-range
T-range
tanδ
3% W rec @ RT3 (J/cm3 )
Sample
C)
εmεm
εε@@RT
tanδ
(◦ (°C)
C) tanδ
< <3%
η @ RT (%)
)
(%) 92
(J/cm 1.50
4BMZ
−68
1020
865
0.06%
−80–400
4BMZ
0.06%
−80–400
1.501.71
4BMZ
−68 −64 1020
10201020 865
865 880
0.06%
−80–400
1.50
92 92 92
6BMZ −68
0.06%
−75–380
6BMZ
−64
1020
880
0.06%
−75–380
1.71
6BMZ
−64
1020
880
0.06%
−75–380
1.71
92 75 92
8BMZ
−56
1110
990
0.08%
−70–390
1.59
8BMZ
−56
1110
990
0.08%
−70–390
1.59
8BMZ
0.08%
−70–390
1.591.34
75 81 75
10BMZ −56 −54 1110940 990 870
0.04%
−70–350
10BMZ
−54
940
870
0.04%
−70–350
1.34
81
10BMZ
−54
940
870
0.04%
−70–350
1.34
81 77
15BMZ −27 −27 890 890 865 865
−40–340
15BMZ
0.2%0.2%
−40–340
1.221.22
77
15BMZ
−27
890
865
0.2%
−40–340
1.22
77
The P–E loops at 200 kV/cm for (1−x)SBT-xBMZ ceramics with different BMZ content are
TheP–E
P–E
loops
at
for
ceramics
with
different
BMZ
content
The
loops
at
200200
kV/cm
for4a.
(1−x)SBT-xBMZ
with
different
BMZ
content
areare
compared
compared
and
shown
in kV/cm
Figure
It(1−x)SBT-xBMZ
is clear to seeceramics
that
the 4BMZ
and
6BMZ
ceramics
exhibit
slim
compared
and
shown
in
Figure
4a.
It
is
clear
to
see
that
the
4BMZ
and
6BMZ
ceramics
exhibit
slim
and shown
in Figure
It is clear
to see high
that the
4BMZ
and 6BMZ
ceramics
exhibit
slim P–EBMZ
loops at
P–E loops
at 2004a.
kV/cm,
indicating
energy
efficiencies
above
92%. With
increasing
P–E
loops indicating
at 200 PkV/cm,
indicating
highdecreases,
energy
efficiencies
above
92%. With
increasing
200
kV/cm,
energy
above
92%. to
With
BMZ
concentration,
concentration,
max high
increases
firstefficiencies
then
relevant
the increasing
dielectric
permittivity,
as BMZ
listed inPmax
concentration,
Pmax
increases
first found
then decreases,
relevant
to the
as listedenergy
in
Tablefirst
1. The
highest
Pmax was
for
but its large
Pr dielectric
would reduce
thein
recoverable
increases
then
decreases,
relevant
to 8BMZ,
the dielectric
permittivity,
aspermittivity,
listed
Table
1. The
highest
Table
1.
The
highest
P
max was found for 8BMZ, but its large Pr would reduce the recoverable energy
density
and
decreases
energy
efficiency.
The
hysteresis
increases
obviously
in
8BMZ,
10BMZ
and
Pmax was found for 8BMZ, but its large Pr would reduce the recoverable energy density and decreases
density
andsamples,
decreasesresulting
energy efficiency.
The hysteresis
increases
obviously
in 8BMZ, 10BMZ
and in
15BMZ
in increases
the decreased
Wrec with
increasing
BMZ and
concentration,
as shown
energy
efficiency.
The
hysteresis
obviously
in 8BMZ,
10BMZ
15BMZ samples,
resulting
15BMZ
samples,
resulting
in
the
decreased
W
rec with increasing BMZ concentration, as shown in
Figure 4b. The increased hysteresis may be related to the increased secondary phases. Based on the
in Figure
the decreased
W rec with
increasing be
BMZ
concentration,
as secondary
shown inphases.
FigureBased
4b. The
increased
4b. The increased
hysteresis
related
to the
increased
on
the
preliminary
results, we
chose themay
6BMZ sample
for
further
evaluation
of the energy storage
property.
hysteresis
may
be related
to the
the6BMZ
increased
secondary
Based
the preliminary
results, we
preliminary
results,
we chose
sample
for furtherphases.
evaluation
of theon
energy
storage property.
chose the 6BMZ sample for further evaluation of the energy storage property.
(a)
(a)
(b)
(b)
Figure 4. (a) The P–E loops at 200 kV/cm for (1−x)(Sr0.7 Bi0.2 )TiO3 -xBi(Mg0.5 Zr0.5 )O3 ceramics;
(b) the stored energy density (W), recoverable energy density (W r ), and energy efficiency (η)
for (1−x)(Sr0.7 Bi0.2 )TiO3 -xBi(Mg0.5 Zr0.5 )O3 ceramics as functions of different BMZ concentration at
200 kV/cm and ambient temperature.
Figure 4. (a) The P–E loops at 200 kV/cm for (1−x)(Sr0.7Bi0.2)TiO3-xBi(Mg0.5Zr0.5)O3 ceramics; (b) the
stored energy density (W), recoverable energy density (Wr), and energy efficiency (η) for
(1−x)(Sr0.7Bi0.2)TiO3-xBi(Mg0.5Zr0.5)O3 ceramics as functions of different BMZ concentration at 200
kV/cm and ambient temperature.
Materials 2020, 13, 180
8 of 13
3.3. Energy Storage Properties of 0.94SBT-0.06BMZ Ceramic
3.3.The
Energy
Storage
Properties
0.94SBT-0.06BMZ
unipolar
P–E
loops ofof6BMZ
ceramic are Ceramic
measured at 10 Hz with different applied electric
fields as
shown
in Figure
5a. It is
that
all P–Eare
loops
are slimatwith
negligible
hysteresis
which
are
The
unipolar
P–E loops
of clear
6BMZ
ceramic
measured
10 Hz
with different
applied
electric
associated
with
the
small
value
of
P
r, contributing to the high energy efficiency. Pr and Pmax as a
fields as shown in Figure 5a. It is clear that all P–E loops are slim with negligible hysteresis which
function
of electric
field
6BMZ
ceramic
are shown into
Figure
5b. When
electric field
increased
are associated
with
thefor
small
value
of Pr , contributing
the high
energythe
efficiency.
Pr and
Pmax as a
from
50
to
380
kV/cm,
the
P
max value enhances monotonically from 6.7 μC/cm2 to 30.3 μC/cm2, while
function of electric field for 6BMZ ceramic are shown in Figure 5b. When the electric field increased
the
Pr remains
almostthe
thePsamevalue
values.
Thus, the
ΔP (ΔP = Pmax
− P6.7
r) keeps increasing
as function
2 , while
from
50 to 380atkV/cm,
enhances
monotonically
from
µC/cm2 to 30.3 µC/cm
max
ofthe
applied
field, at
which
is beneficial
for enlarging
Wrec∆P
and
results
given
in Figure
The
Pr remains
almost
the same values.
Thus, the
(∆Pη;=the
Pmax
− Pr )are
keeps
increasing
as5c.
function
maximum
W
rec of 4.2 J/cm3 was obtained at 380 kV/cm. On the other hand, the energy efficiency
of applied field, which is beneficial for enlarging W rec and η; the results are given in Figure 5c. The
exhibits
remarkable
applied
up to 320
with
values
than
90%,
maximum
W rec of stability
4.2 J/cm3over
was the
obtained
at field
380 kV/cm.
OnkV/cm
the other
hand,
thelarger
energy
efficiency
above
which
the η slightly
drops
88%.
exhibits
remarkable
stability
overtothe
applied field up to 320 kV/cm with values larger than 90%, above
which the η slightly drops to 88%.
(a)
(b)
(c)
(d)
Figure
5.5.(a)(a)
The
unipolar
, Pr, and
Figure
The
unipolarP–E
P–Eloops
loopsfor
for6BMZ
6BMZceramic;
ceramic;(b)
(b)the
theelectric
electricfiled
fileddependent
dependentPPmax
max , Pr , and
rec, and
η
versus
applied
electric
field
of
6BMZ
ceramic;
ΔP∆P
forfor
6BMZ
ceramic;
(c)(c)
the
calculated
W,W,WW
6BMZ
ceramic;
the
calculated
,
and
η
versus
applied
electric
field
of
6BMZ
ceramic;
rec
(d)
Weibull
distribution
of
the
breakdown
strength
data.
(d) Weibull distribution of the breakdown strength data.
High BDS is advantageous in dielectric materials for obtaining high W as shown in Equation
(1). The Weibull distribution has been used as a capable analysis method to explore the breakdown
strength of ceramics, as given in the following equations:
Xi = ln(Ei ),
(4)
Materials 2020, 13, 180
9 of 13
Yi = ln ln
Pi =
!!
1
,
1 − Pi
(5)
i
n+1
(6)
where i is the serial number of sample. Ei , Pi and n are the breakdown strength of each test sample, the
probability of breakdown and the summation samples, respectively. The ascending sort of breakdown
strength for samples is shown as E1 ≤ E2 ≤ . . . Ei . . . ≤ En . The Weibull modulus (m) can be obtained
by the slope of the fitted linear line of Xi and Yi , which is one of the important parameters that
represents the reliability of experimental data. The Weibull characteristic breakdown strength (Eb ) can
be calculated by the intercept between the fitted linear line and Yi = 0. As shown in Figure 5d, the
m value for 6BMZ ceramic is 17, leading to a high level of confidence. The calculated Eb of 6BMZ is
460 kV/cm which is much higher than other lead-free energy storage ceramics [32–36], as shown in
Table 2. The energy storage properties of BaTiO3 -Bi(Me0 Me”)O3 ceramics have been widely studied,
and the obtained energy densities have been found to be around 1–3 J/cm3 in previous research as
shown in Table 2. The dielectric maxima temperatures of most of the studied BaTiO3 -Bi(Me0 Me”)O3
ceramics are around or above room temperature, leading to a relatively high dielectric loss at room
temperature. However, in this work, the Tm of 6BMZ is far below room temperature, resulting in a low
dielectric loss at room temperature and above. The depressed tanδ is believed to be associated with
high breakdown strength, and hence the high energy density as well as the high energy efficiency. The
ultrahigh breakdown strength of 6BMZ ceramic leads to improved W rec of 4.2 J/cm3 , which is favorable
for energy storage applications.
Table 2. Comparison of energy-storage properties between the 0.94SBT-0.06BMZ ceramic and other
lead-free ceramics.
Composition
W rec (J/cm3 )
η (%)
Eapp (kV/cm)
Eb (kV/cm)
Ref.
0.85BaTiO3 -0.15Bi(Zn2/3 Nb1/3 )O3
0.9BaTiO3 -0.1Bi(Mg2/3 Nb1/3 )O3
0.61BiFeO3 -0.33BaTiO3 -0.06Ba(Mg1/3 Nb2/3 )O3
0.88BaTiO3 -0.12Bi(Mg1/2 Ti1/2 )O3
0.88BaTiO3 -0.12Bi(Li0.5 Nb0.5 )O3
0.85BaTiO3 -0.15Bi(Zn0.5 Sn0.5 )O3
0.9BaTiO3 -0.1Bi(Zn0.5 Zr0.5 )O3
(Na0.25 Bi0.25 Sr0.5 )(Ti0.8 Sn0.2 )O3
0.94(Sr0.7 Bi0.2 )TiO3 -0.06Bi(Mg0.5 Zr0.5 )O3
0.79
1.13
1.56
1.81
2.032
2.21
2.46
3.4
4.2
93.5
95.8
75
~88
88
91.6
~73
90
88
131
143.5
125
224
270
230
264
310
380
262
~270
535.5
340
280
266.5
330
460
[22]
[32]
[33]
[20]
[9]
[34]
[35]
[36]
This work
For high-temperature energy-storage applications, thermal stability plays a key role when working
at elevated temperatures. For example, the operating temperature can be higher than 140 ◦ C in hybrid
electric vehicles, thus requiring some electronic components to be protected by cooling systems [37].
Dielectric materials that work and maintain stability at high temperature could not only reduce the cost
but also the volume of the whole energy storage system. The temperature-dependent unipolar P–E
loops for 6BMZ ceramic at various temperatures from ambient to 150 ◦ C at 200 kV/cm are shown in
Figure 6a. It can be seen that all the P–E loops are slim, indicating the high temperature stability. The
Pmax value was found to slightly decrease, which is related to the decreased permittivity at elevated
temperature, while the Pr remains at a low value over a wide temperature range, indicating the
6BMZ ceramic capable of operating at high temperature. Figure 6b shows W rec and η as functions
of temperature, the decrease of W rec is on the order of 14% due to reduced permittivity at elevated
temperature. Of particular significance is that the variation of η is minimal up to 130 ◦ C, associated with
the low dielectric loss and temperature-insensitive Pr . The excellent thermal stability of η for 6BMZ
ceramic make it very promising for energy storage applications working at elevated temperature.
Materials 2020, 13, x FOR PEER REVIEW
10 of 13
associated with the low dielectric loss and temperature-insensitive Pr. The excellent thermal stability
of η for 6BMZ
ceramic
make it very
promising
for energy storagePrapplications
working
elevated
associated
with the
low dielectric
loss and
temperature-insensitive
. The excellent
thermalatstability
temperature.
of η for 6BMZ ceramic make it very promising for energy storage applications working at elevated
temperature.
Materials 2020, 13, 180
10 of 13
(a)
(b)
(a) P–E loops for 6BMZ ceramic at different temperature
(b) at 200 kV/cm; (b) Wr
Figure 6. (a) The unipolar
and
η
of
6BMZ
ceramic
as
functions
of
temperature.
Figure
6. 6.
(a)(a)
The
unipolar
P–E
loops
forfor
6BMZ
ceramic
at at
different
temperature
at at
200
kV/cm;
(b)(b)
WW
r
Figure
The
unipolar
P–E
loops
6BMZ
ceramic
different
temperature
200
kV/cm;
r
and
η of
6BMZ
ceramic
asas
functions
ofof
temperature.
and
η of
6BMZ
ceramic
functions
temperature.
3.4. Fatigue Endurance and Charge–Discharge Rate for 0.94SBT-0.06BMZ Ceramic
3.4.
Fatigue
Endurance
and
Charge–Discharge
Rate
0.94SBT-0.06BMZ
Ceramic
3.4.
Fatigue
Endurance
and
Charge–Discharge
Rate
forfor
0.94SBT-0.06BMZ
Ceramic
To further
investigate
the energy storage
properties
for 6BMZ
ceramic, the fatigue cycling
endurance
and
a
charge-discharge
rate
experiment
were
performed.
Strong
fatigue
endurance
is
To
further
investigate
the
energy
storage
properties
for
6BMZ
ceramic,
thefatigue
fatigue
cycling
To further investigate the energy storage properties for 6BMZ ceramic,
the
cycling
essential
for
energy
storage
capacitors
in
practical
applications.
Figure
7a
displays
the
unipolar
P–E
endurance
and
a
charge-discharge
rate
experiment
were
performed.
Strong
fatigue
endurance
endurance and a charge-discharge rate experiment were performed. Strong fatigue endurance is is
loops
for
6BMZ
ceramic
at
200 kV/cm
underapplications.
different cycle
numbers.
The
energy
storage
essential
energy
storage
capacitors
practical
applications.
Figure
displays
the
unipolar
P–E
essential
forfor
energy
storage
capacitors
inin
practical
Figure
7a7a
displays
the
unipolar
P–E
5 cycles, where the unipolar P–E loops
performances
of
the
6BMZ
ceramic
are
reproducible
after
10
loops
for
6BMZ
ceramic
at
200
kV/cm
under
different
cycle
numbers.
The
energy
storage
performances
loops for 6BMZ ceramic at 200 kV/cm under different cycle numbers. The energy storage
maintain
the of
same
the cycling,
small
be seen
in the
inset
figure
of loops
Figure
of the 6BMZ
ceramic
are over
reproducible
after
105 difference
cycles,
the
unipolar
P–E
loops
maintain
the
performances
the shape
6BMZ
ceramic
are reproducible
afterwhere
105can
cycles,
where
the
unipolar
P–E
7a.
The
variation
of
W
rec and η
for
fatigue
cycling
numbers
are
given
in
Figure
7b;
here
the
W
rec value
same
shape
over
the
cycling,
small
difference
can
be
seen
in
the
inset
figure
of
Figure
7a.
The
variation
maintain the same shape over the cycling, small difference can be seen in the inset figure of Figure
remains
almost
whilecycling
the
slightly
drops
from
95%
torec
92%
10rec5 value
cycles,
ofThe
W rec
and
η for
fatigue
cycling
numbers
areηgiven
in Figure
7b;
here
the W
value
remains
almost
7a.
variation
ofthe
Wrecsame
and
ηvalue
for fatigue
numbers
are given
in Figure
7b;
hereafter
the
W
5
demonstrating
6BMZ
sample
possesses
reliability.
the same
valuethat
while
the ηvalue
slightly
drops
from
95% tocycling
92%
after
10 cycles,
6BMZ
5 cycles,
remains
almost
the
same
while
the
ηexcellent
slightly
drops
from
95% todemonstrating
92% after 10that
sample
possesses
excellent
cycling
reliability.
demonstrating that 6BMZ sample possesses excellent cycling reliability.
(a)
(b)
(a) P–E
(b)
Figure
cycling
Figure7.7.(a)
(a)Unipolar
Unipolar
P–Eloops
loopsfor
for6BMZ
6BMZceramic
ceramicunder
underdifferent
differentfatigue
fatigue
cyclingnumber;
number; (b)
(b) W
Wrrand
and
5
5
for
6BMZ
ceramic.
η
as
functions
of
charging–discharging
cycles
from
1
to
10
η
as
functions
of
charging–discharging
cycles
from
1
to
10
for
6BMZ
ceramic.
Figure 7. (a) Unipolar P–E loops for 6BMZ ceramic under different fatigue cycling number; (b) Wr and
η as functions of charging–discharging cycles from 1 to 105 for 6BMZ ceramic.
Thefast
fast discharge
discharge rate
rate is
isRcritical
critical for
for pulse-power
pulse-power applications.
applications. The
Thedischarged
dischargedenergy
energydensity
density
The
2(𝑡)𝑑𝑡/𝑉𝑜𝑙,
(
)
can
be
calculated
by
W
=
R
i
t
dt/Vol,
where
R
,
i(t)
and
Vol
represent
the
total
load
resistor
where Rapplications.
canThe
be calculated
by 𝑊rate
𝑅 L𝑖 for pulse-power
LL, i(t) and Vol represent the total load resistor
dis =
fast discharge
is critical
The discharged energy density
(2
kΩ),
the
discharge
current
through
R
,
and
the
sample
volume,
respectively.
The
calculated
W dis at
L
can be calculated by 𝑊 = 𝑅 𝑖 (𝑡)𝑑𝑡/𝑉𝑜𝑙, where RL, i(t) and Vol represent the
total
load resistor
an applied electric field of 200 kV/cm as a function of time for 6BMZ ceramic is given in Figure 8. The
discharge time τ0.9 is the time required to release 90% of total W dis value. The τ0.9 for 6BMZ at room
temperature is 0.62 µs, indicating the great potential of 6BMZ for pulse power capacitors.
(2 kΩ), the discharge current through RL, and the sample volume, respectively. The calculated Wdis at
an applied electric field of 200 kV/cm as a function of time for 6BMZ ceramic is given in Figure 8. The
discharge time τ0.9 is the time required to release 90% of total Wdis value. The τ0.9 for 6BMZ at room
temperature is 0.62 μs, indicating the great potential of 6BMZ for pulse power capacitors.
Materials 2020, 13, 180
11 of 13
Figure 8. Discharge energy density as a function of time for 6BMZ ceramic at 200 kV/cm and
ambient temperature.
Figure 8. Discharge energy density as a function of time for 6BMZ ceramic at 200 kV/cm and ambient
4. Conclusions
temperature.
In summary, lead-free (1−x)SBT-xBMZ ceramics were fabricated by conventional solid state
4. Conclusions
processing. The highest recoverable energy density of 4.2 J/cm3 and high energy efficiency of 88% were
lead-free
ceramics
were
fabricated
by conventional
solid state
obtainedInatsummary,
applied electric
field(1−x)SBT-xBMZ
of 380 kV/cm for
0.94(Sr0.7
Bi0.2 )TiO
3 -0.06Bi(Mg
0.5 Zr0.5 )O3 ceramic.
3 and high energy efficiency of 88%
The highest
energy stability
density of
4.2 aJ/cm
Theprocessing.
6BMZ ceramic
shows arecoverable
good temperature
over
wide
temperature range from room
were obtained
electric
field ceramic
of 380 also
kV/cm
for 0.94(Sr
0.7Bi
0.2)TiO3stability
-0.06Bi(Mg
0.5Zr
temperature
to 150 ◦at
C. applied
In addition,
the 6BMZ
exhibits
excellent
cycling
over
100.55 )O3
ceramic. The 6BMZcycles.
ceramicTogether
shows awith
goodits
temperature
stability
from
charging–discharging
fast discharge
rate, over
the τa0.9wide
is ontemperature
the order ofrange
0.62 µs,
room
temperature
to
150
°C.
In
addition,
the
6BMZ
ceramic
also
exhibits
excellent
cycling
stability
demonstrating that the 0.94(Sr0.7 Bi0.2 )TiO3 -0.06Bi(Mg0.5 Zr0.5 )O3 ceramic shows promising potential as
over 105dielectric
charging–discharging
cycles. Together
withenergy
its faststorage
discharge
rate, the τ0.9 is on the order of
a lead-free
for high-temperature,
high-power
applications.
0.62 μs, demonstrating that the 0.94(Sr0.7Bi0.2)TiO3-0.06Bi(Mg0.5Zr0.5)O3 ceramic shows promising
Author
Contributions:
Conceptualization,
and S.Z.; validation,
X.K. andenergy
S.Z.; formal
analysis,
X.K. and
potential
as a lead-free
dielectric for X.K.
high-temperature,
high-power
storage
applications.
L.Y.; investigation, X.K. and L.Y.; resources, X.K.; data curation, X.K.; writing—original draft preparation, X.K.;
writing—review and editing, X.K., L.Y., Z.C. and S.Z.; visualization, X.K.; supervision, S.Z. and Z.C. All authors
Author
Contributions:
X.K.
S.Z.; validation, X.K. and S.Z.; formal analysis, X.K. and
have
read and
agreed to the Conceptualization,
published version of
the and
manuscript.
L.Y.;
investigation,
X.K.
and
L.Y.;
resources,
X.K.;
data
curation,
X.K.;grant
writing—original
draft preparation, X.K.;
Funding: This research was funded by the Australian Research
Council,
number FT140100698.
writing—review and editing, X.K., L.Y., Z.C. and S.Z.; visualization, X.K.; supervision, S.Z. and Z.C.
Acknowledgments: The authors acknowledge the use of facilities within the UOW Electron Microscopy Centre.
TheFunding:
authors also
likewas
to thank
Dr.by
Andrew
Nattestad
for preparing
thegrant
electrodes.
Thiswould
research
funded
the Australian
Research
Council,
number FT140100698.
Conflicts
of Interest: The
authors
declare
no conflict
interest.
Acknowledgments:
The
authors
acknowledge
theofuse
of facilities within the UOW Electron Microscopy Centre.
The authors also would like to thank Dr. Andrew Nattestad for preparing the electrodes.
References
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Conflicts of Interest: The authors declare no conflict of interest.
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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Contrasting determinants for the introduction and establishment success of exotic birds in Taiwan using decision trees models
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How to cite this article Liang et al. (2017), Contrasting determinants for the introduction and establishment success of exotic birds in
Taiwan using decision trees models. PeerJ 5:e3092; DOI 10.7717/peerj.3092 Contrasting determinants for the
introduction and establishment success
of exotic birds in Taiwan using decision
trees models Shih-Hsiung Liang1, Bruno Andreas Walther2 and Bao-Sen Shieh3,4 1 Department of Biotechnology, National Kaohsiung Normal University, Kaohsiung, Taiwan
2 Master Program in Global Health and Development, College of Public Health, Taipei Medical University,
Taipei, Taiwan 3 Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung
Taiwan 4 Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan ABSTRACT Therefore, we suggest that future success for Distributed under
Creative Commons CC-BY 4.0 OPEN ACCESS introduction and establishment of exotic birds may be gauged by simply looking at
previous success in invading other countries. Finally, we found that species traits related
to reproduction were more important in establishment models than in introduction
models; importantly, these determinants were not averaged but either minimum or
maximum values of species traits. Therefore, we suggest that in addition to averaged
values, reproductive potential represented by minimum and maximum values of species
traits should be considered in invasion studies. Subjects Biodiversity, Biogeography, Ecology, Mathematical Biology
Keywords Biological invasion, Alien birds, Model comparison, Gradient boosting, Random forest j
y,
g
g
p y,
gy,
gy
Keywords Biological invasion, Alien birds, Model comparison, Gradient boosting, Random forest ABSTRACT Background. Biological invasions have become a major threat to biodiversity, and
identifying determinants underlying success at different stages of the invasion process is
essential for both prevention management and testing ecological theories. To investigate
variables associated with different stages of the invasion process in a local region such
as Taiwan, potential problems using traditional parametric analyses include too many
variables of different data types (nominal, ordinal, and interval) and a relatively small
data set with too many missing values. Methods. We therefore used five decision tree models instead and compared their
performance. Our dataset contains 283 exotic bird species which were transported to
Taiwan; of these 283 species, 95 species escaped to the field successfully (introduction
success); of these 95 introduced species, 36 species reproduced in the field of Taiwan
successfully (establishment success). For each species, we collected 22 variables
associated with human selectivity and species traits which may determine success
during the introduction stage and establishment stage. For each decision tree model,
we performed three variable treatments: (I) including all 22 variables, (II) excluding
nominal variables, and (III) excluding nominal variables and replacing ordinal values
with binary ones. Five performance measures were used to compare models, namely,
area under the receiver operating characteristic curve (AUROC), specificity, precision,
recall, and accuracy. Submitted 5 December 2016
Accepted 14 February 2017
Published 14 March 2017
Corresponding author
Bao-Sen Shieh, bsshieh@kmu.edu.tw
Academic editor
Michael Wink
Additional Information and
Declarations can be found on
page 12
DOI 10.7717/peerj.3092
Copyright
2017 Liang et al. Distributed under
Creative Commons CC-BY 4.0 Results. The gradient boosting models performed best overall among the five decision
tree models for both introduction and establishment success and across variable treat-
ments. The most important variables for predicting introduction success were the bird
family, the number of invaded countries, and variables associated with environmental
adaptation, whereas the most important variables for predicting establishment success
were the number of invaded countries and variables associated with reproduction. Discussion. Our final optimal models achieved relatively high performance values,
and we discuss differences in performance with regard to sample size and variable
treatments. Our results showed that, for both the establishment model and introduction
model, the number of invaded countries was the most important or second most
important determinant, respectively. Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 INTRODUCTION Biological invasions have become a major threat to biodiversity (Pimentel, Zuniga &
Morrison, 2005). Hence, some studies of biological invasion have focused on how to
prevent the invasion or how to eradicate the invasive species (Dana, Jeschke & García-
de-Lomas, 2014). As more and more invasive species have spread into the wild, invasive
species have also become important subjects in testing ecological theories in relation to
niche and competition (e.g., Broennimann et al., 2007; Allen et al., 2015). Both prevention
management and testing ecological theories require the identification of the key factors
underlying success at different stages in the invasion process (Duncan, Blackburn & Sol,
2003); moreover, factors that are important to explain the invasion success have been
suggested to be different at each stage of the invasion process (Kolar & Lodge, 2002;
Williamson, 2006; Dawson, Burslem & Hulme, 2009). Compared with other vertebrate taxa, birds have a higher number of invasive species
and invasion success rates in a study focusing on Europe and North America (Jeschke &
Strayer, 2006). Previous studies on exotic birds have identified two major categories of
factors associated with their success at the introduction and establishment stages: human
selectivity factors and species traits. Human selectivity factors consist of factors such as taxa
and geography selected non-randomly by humans during the transport or introduction
stages of exotic birds (Duncan, Blackburn & Sol, 2003). Species traits, on the other hand,
then play an important role during the introduction and establishment stages (Blackburn,
Cassey & Lockwood, 2009). In Taiwan, at least 290 exotic species of pet birds have been imported, and a 9.7% rate
of invasion success was estimated (Shieh et al., 2006). For the transport stage, non-random
selectivity of exotic birds imported to Taiwan was associated with bird family, native
geographic range, body size, and song production of species (Su, Cassey & Blackburn,
2014); as to the later stages of invasion, pet trade factors such as song attractiveness were
significantly associated with introduction success but not establishment success (Su, Cassey
& Blackburn, 2016). For the exotic birds of Taiwan, species traits that help to avoid stochastic extinction or
to constrain establishment (cf. Sol, 2008) have not been investigated with regard to their
influences on different stages of the invasion process. To investigate the effects of these Liang et al. INTRODUCTION (2017), PeerJ, DOI 10.7717/peerj.3092 2/15 factors which are associated with both human selectivity and species traits onto different
stages of the invasion process in a local region such as Taiwan, two potential problems
using traditional parametric analyses have been identified as (1) a relatively small data
set with too many missing values and (2) too many variables of different types (nominal,
ordinal, and interval). Machine learning is a new, advanced analytical method which overcomes many of
the restrictions of traditional parametric analyses. We chose the decision tree method,
a machine learning algorithm, because its advantages include no need to input data for
missing values and no assumptions about the distribution of the data; therefore, this
method is ideal for dealing with mixed data types, such as nominal, ordinal and interval
variables (Olinsky, Kennedy & Brayton Kennedy, 2014). In studies of biological invasion,
the decision tree method was first applied to investigating a data set of 45 fish species for risk
assessment in the Great Lakes (Kolar & Lodge, 2002). In another recent study, Chen, Peng
& Yang (2015) found that decision tree methods not only work best with nominal variables
but also have higher performance values than traditional parametric methods in predicting
alien herb invasion. In a comparative study of trait-based risk assessment for invasive
species which included a bird data set, Keller, Kocev & Džeroski (2011) found that random
forests (an ensemble method that creates multiple decision tree sub-models) was one of the
two best performing methods. Vall-llosera & Sol (2009) investigated only one of the four
stages of the invasion process, namely establishment success, in a global risk assessment for
invasive birds. They found that their tree model had an overall predictive accuracy as high
as the conventional statistical models (generalized linear mixed models). Besides these two
studies, which only focused on the establishment stage for exotic birds using decision tree
models, there are, to our knowledge, no other studies which used decision tree methods to
analyze the determinants for both the introduction and establishment stages of exotic birds. Consequently, we decided to use decision tree methods to assess factors associated with
human selectivity and species traits which determine the success during the introduction
and establishment stages of exotic birds in Taiwan. We used five decision tree models
which differed in regard to resampling the data set and compared their performance. INTRODUCTION An
optimal prediction model was chosen based on five performance measures, and the relative
importance of factors in the optimal model for introduction success and for establishment
success was examined and compared. Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 Species of the data set Species of the data set The four stages of the invasion process were defined in Duncan, Blackburn & Sol (2003)
as transport, introduction, establishment, and spread. In this study, we focused on the
introduction and establishment stages. For a species to reach the introduction stage, it
must have passed the transport stage. Therefore, we selected all the exotic species which
had been transported to Taiwan’s main island (not including surrounding islands, such
as Lanyu and Kinmen Island) as documented in Shieh et al. (2006) which included the
results of Chi (1995), Severinghaus (1999) and Lin (2004). Whether a transported species Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 3/15 has passed the subsequent stages of the invasion process was based (1) on escaping records
in the field (introduction success) and (2) breeding record in the field (establishment
success). We followed the detailed methods of how to define introduction success and
establishment success which were given in Su, Cassey & Blackburn (2016). However, Su,
Cassey & Blackburn (2016) based their decision of establishment success on the respective
species having been recorded to be breeding at least twice; instead, we based it on at least
one record of fledglings actually having left the nest successfully. In order to record all the escaping and breeding records of bird species up to 2015,
we continuously (1) checked information from the Chinese Wild Bird Federation
(http://www.bird.org.tw/) database which is the main collector of wild bird data in
Taiwan, as well as other Taiwanese websites dedicated to natural history observations
of birds, (2) remained in contact with local ornithologists, birdwatchers and bird societies,
and (3) included any relevant publications (e.g., Walther, 2011; Walther, 2014 for red-
whiskered bulbul, Pycnonotus jocosus; Fan et al., 2009 for white-rumped shama, Copsychus
malabaricus, or Shieh, Lin & Liang, 2016 for Asian glossy starling, Aplonis panayensis). Most of this updated information was published recently in a project report for the Taiwan
Forestry Bureau (Liang & Shieh, 2016). Despite following the methods as described in Su, Cassey & Blackburn (2016), we
independently collected all the data used in this analysis beginning in 2004 and ending in
2015. Our dataset thus contains 283 full species (although we entered subspecies in our
dataset, for this analysis, we only used full species), which were transported to Taiwan
(see above). Of these 283 species, 95 species escaped to the field successfully (introduction
success). Species of the data set Of these 95 species, 36 species reproduced in the field of Taiwan successfully
(establishment success) (see Table S1 for species list). Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 Decision trees models and variable treatments To investigate the possible effects of nominal variables (family and order) and ordinal
variables on the performance of the decision tree models, we conducted three variable
treatments for modeling: (I) including all variables, (II) excluding nominal variables,
and (III) excluding nominal variables and replacing ordinal values with binary ones;
e.g., changing habitat values of 0–4 to 0 (natural habitats) and habitat values of 5–6 to 1
(artificial habitats). For each variable treatment, we used five decision tree models (DT_no bagging,
DT_bagging 90%, DT_bagging 100%, gradient boosting, and HP forest) to predict
the outcomes of introduction and establishment, respectively. Modeling processes and
comparisons of model performance were implemented using SAS Enterprise Miner 13.1
(for diagrams of process flow, see supplementary files Figs. S1 & S2). Because of the small
data set, no data partition was implemented; that is, all data were used as training data. Instead, other methods, such as bagging and cross validation, which have been suggested
for the use with small data sets (SAS Institute Inc., 2013), were used in the present study. DT_no bagging is the traditional classification tree method by constructing a layered tree
model with the following settings: splitting rule = Gini, cross validation with 10 subsets and
100 repeats. The DT_bagging 90% and DT_bagging 100% methods used the same setting
of splitting rule and cross validation as the DT_no bagging method but with bagging 90%
or 100% of the data set for 50 times, respectively. Gradient boosting is a boosting method
that resamples the data set to produce a series of decision trees which together form a single
predictive model which has been found to be less prone to overfitting the data than a single
decision tree (Georges, 2008). HP Forest is the random forest method which builds many
parallel trees forming a forest; a tree in the forest is a sample without replacement from all
the available observations, and the input variables that are considered for splitting a node
are randomly selected from all the available inputs (Hall et al., 2014). Variables We collected 22 variables for each species, including two nominal ones (order and family),
six ordinal ones (latitude overlap with Taiwan: 0–2, migration pattern: 0–3, nesting
location: 0–3, feeding: 1–3, diet: 1–6, and habitat: 0–6), three binary ones (hole nest,
Taiwan genus_resident, dichromatism), and 11 interval ones (clutch size: clutch, maximum
clutch size: Mclutch, incubation days: incubation, minimum incubation days: Minincub,
body length: length, maximum body length: Mlength, body mass: Mass, maximum body
mass: Mmass, the number of invaded countries: Invcountry_Max, distribution range
(km2): Range, the number of subspecies: subspecies) (see supplementary file Table
S2 for code descriptions of variables). The variable Taiwan genus_resident was based
on the information in Hsiao & Li (2014). For the other variables, we gathered species
information from the books of Del Hoyo et al. (1992–2011), Dunning Jr (1993), and
internet databases of IUCN (http://www.iucn.org) and BirdLife International Datazone
(http://datazone.birdlife.org) (see Table S1 for associated information of each species and
Table S2 for code descriptions of variables). When we collected the values for reproduction
and body size for each species, we usually found a given range instead of fixed values in the
references. In order to account for the maximum adaptation and reproduction potential in
the invasion process, we used maximum values such as maximum body mass or minimum Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 4/15 values such as minimum incubation days in addition to averaged values. To determine
the number of invaded countries (Invcountry_Max), we counted the total (or maximum)
number of countries in which occurrences of introduced populations of each respective
species were reported. Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 Decision trees models and variable treatments We calculated five performance measures to compare models, namely, the area under
the receiver operating characteristic curve (AUROC), the specificity which measures the
fraction of negative events that were correctly labeled, the precision which measures the
fraction of positively labeled outcomes that were correctly labeled, the recall which measures
the fraction of positive events that were correctly labeled, and the accuracy which measures
the fraction of all events that were correctly labeled (accuracy = 1 −misclassification
rate) (Söhngen, Chang & Schomburg, 2011). These five performance measures have the
same range (0–1), and we gave each measure equal weight in evaluating the model
performance in accordance with Chen, Peng & Yang (2015). The higher the values of these
five performance measures are, the better the model performs; therefore, we summed up
the five values (from hereupon called the ‘‘total score’’) and chose the model with the Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 5/15 Figure 1 The visual output of the introduction model based on the classification tree method for exotic birds of Taiwan generated from the
dataset of 283 transported species, of which 95 species successfully escaped in the field (see Table S1 for associated information of each species
and Table S2 for code descriptions of variables). Figure 1 The visual output of the introduction model based on the classification tree method for exotic birds of Taiwan generated from the
dataset of 283 transported species, of which 95 species successfully escaped in the field (see Table S1 for associated information of each species
and Table S2 for code descriptions of variables). highest sum as our final optimal model. We then compared the relative importance of each
of the variables in the optimal introduction model and establishment model. For illustrative purposes, we chose the visual output of the resulting trees of DT_no
bagging of variable treatment I for our figures (Figs. 1 and 2). Such visual outputs are
not possible for the other four methods (namely, DT_bagging 90%, DT_ bagging 100%,
gradient boosting, and HP forest). 6/15 Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 Liang et al. Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 Decision trees models and variable treatments (2017), PeerJ, DOI 10.7717/peerj.3092 Figure 2
The visual output of the establishment model based on the classification tree method for ex-
otic birds of Taiwan generated from the dataset of 95 introduced species, of which 36 species success-
fully reproduced in the field (see Table S1 for associated information of each species and Table S2 for
code descriptions of variables). Figure 2
The visual output of the establishment model based on the classification tree method for ex-
otic birds of Taiwan generated from the dataset of 95 introduced species, of which 36 species success-
fully reproduced in the field (see Table S1 for associated information of each species and Table S2 for
code descriptions of variables). Figure 2
The visual output of the establishment model based on the classification tree method for ex-
otic birds of Taiwan generated from the dataset of 95 introduced species, of which 36 species success-
fully reproduced in the field (see Table S1 for associated information of each species and Table S2 for
code descriptions of variables). We used the decision tree models described above to build various versions of two
kinds of models: (1) introduction success prediction models and (2) establishment
success prediction models. However, for brevity’s sake, from hereupon we will call them
introduction models and establishment models, respectively. RESULTS Across the three variable treatments and for both the introduction models (Table 1) and
establishment models (Table 2), the gradient boosting models always achieved the highest
score among the five decision tree models (i.e., it performed best overall). However, this
overall best performance did not mean that gradient boosting always performed best
when comparing values of the five performance measures. For instance, Table 1 (see also
supplementary file Fig. S3 for receiver operating characteristic curves, and supplementary
file Fig. S4 for classification charts) shows that gradient boosting only performed best for
accuracy in variable treatment I and II; otherwise, other models always performed better
using the other four performance measures. Nevertheless, across all three treatments, the
total score is always highest for gradient boosting for the introduction models (Table 1). Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 7/15 Table 1
Comparison of five performance measures among five introduction models of exotic birds in
Taiwan, separately for three variable treatments (see ‘Methods’ for details). Model
AUROC
Specificity
Precision
Recall
Accuracy
Total
Variable treatment I
DT_no bagging
0.894
0.830
0.722
0.874
0.845
4.164
DT_bagging 90%
0.970
0.936
0.782
0.453
0.774
3.914
DT_bagging 100%
0.976
0.910
0.742
0.516
0.777
3.921
Gradient boosting
0.936
0.941
0.869
0.768
0.883
4.398
HP Forest
0.903
0.963
0.873
0.505
0.809
4.053
Variable treatment II
DT_no bagging
0.904
0.872
0.765
0.821
0.855
4.217
DT_bagging 90%
0.949
0.899
0.683
0.432
0.742
3.705
DT_bagging 100%
0.955
0.910
0.742
0.516
0.777
3.900
Gradient Boosting
0.924
0.915
0.816
0.747
0.859
4.261
HP Forest
0.894
0.963
0.848
0.411
0.777
3.893
Variable treatment III
DT_no bagging
0.910
0.888
0.781
0.789
0.855
4.224
DT_bagging 90%
0.946
0.910
0.691
0.400
0.739
3.685
DT_bagging 100%
0.953
0.888
0.700
0.516
0.763
3.820
Gradient Boosting
0.919
0.926
0.827
0.705
0.852
4.229
HP Forest
0.888
0.957
0.840
0.442
0.784
3.912 Table 2
Comparison of five performance measures among five establishment models of exotic birds in
Taiwan, separately for three variable treatments (see ‘Methods’ for details). Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 RESULTS Model
AUROC
Specificity
Precision
Recall
Accuracy
Total
Variable treatment I
DT_no bagging
0.839
0.898
0.806
0.694
0.821
4.059
DT_bagging 90%
0.945
0.932
0.800
0.444
0.747
3.869
DT_bagging 100%
0.963
0.949
0.842
0.444
0.758
3.957
Gradient Boosting
0.985
1.000
1.000
0.861
0.947
4.793
HP Forest
0.901
0.983
0.875
0.194
0.684
3.638
Variable treatment II
DT_no bagging
0.839
0.898
0.806
0.694
0.821
4.059
DT_bagging 90%
0.942
0.932
0.800
0.444
0.747
3.866
DT_bagging 100%
0.963
0.949
0.842
0.444
0.758
3.957
Gradient boosting
0.976
0.983
0.969
0.861
0.937
4.726
HP Forest
0.914
1.000
1.000
0.167
0.684
3.765
Variable treatment III
DT_no bagging
0.839
0.898
0.806
0.694
0.821
4.059
DT_bagging 90%
0.936
0.932
0.800
0.444
0.747
3.860
DT_bagging 100%
0.940
0.949
0.842
0.444
0.758
3.934
Gradient boosting
0.971
1.000
1.000
0.778
0.916
4.665
HP Forest
0.912
1.000
1.000
0.139
0.674
3.725 Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Relative Importance
Variable
Figure 3
Relative importance of variables in the prediction models using the gradient boosting ap-
proach (grey bars for introduction models and black bars for establishment models). For descriptions
of codes for variables, see Table S2. 0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Relative Importance
Variable
Figure 3
Relative importance of variables in the prediction models using the gradient boosting ap-
proach (grey bars for introduction models and black bars for establishment models). For descriptions
of codes for variables, see Table S2. Figure 3
Relative importance of variables in the prediction models using the gradient boosting ap-
proach (grey bars for introduction models and black bars for establishment models). For descriptions
of codes for variables, see Table S2. Figure 3
Relative importance of variables in the prediction models using the gradient boosting ap-
proach (grey bars for introduction models and black bars for establishment models). For descriptions
of codes for variables, see Table S2. Figure 3
Relative importance of variables in the prediction models using the gradient boosting ap-
proach (grey bars for introduction models and black bars for establishment models). For descriptions
of codes for variables, see Table S2. For the establishment models (Table 2, see also supplementary file Fig. S5 for receiver
operating characteristic curves, and supplementary file Fig. Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 RESULTS S6 for classification charts),
however, gradient boosting has the highest total score for all the three treatments and
also for most of the five performance measures (the only exceptions being specificity and
precision in variable treatment II). Therefore, we considered gradient boosting the optimal
model for both the introduction models and establishment models and only considered its
results from hereupon. Looking across the three different variable treatment methods I–III, gradient boosting
performed best with variable treatment I for the introduction models (Table 1) as well
as the establishment models (Table 2). For variable treatments II and III, the total score
decreased by only 0.169 (4%) and 0.128 (3%), respectively. We also note that this decreasing
trend across variable treatments is maintained for most of the five performance measures. Furthermore, the values of the performance measures are all >0.7 and 60% are >0.9, which
means that the performance was consistently high or very high. In the optimal introduction model, family and the number of invaded countries
(Invcountry_Max) were the most important variables, and their relative importance values
were 1 and 0.888, respectively (Fig. 3). The top six variables with an importance value
>0.3 also included maximum body mass (0.394), order (0.384), latitude overlap with
Taiwan (0.354), and distribution range (0.345). For the introduction model based on the
classification tree method (Fig. 1), the number of invaded countries was the most important
determinant, as it appeared at the top of the tree, which means that the 84 species with Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 9/15 any record of invading other countries had a 66.7% chance of successful introduction to
Taiwan. Among these 84 species, the 72 species which had a migration pattern categorized
as sedentary (0), local movement (1) or partial migration (2) had a 73.6% chance of
successful introduction, while the 12 species categorized as migrants (3) had only a 25.0%
chance of successful introduction. Among the 199 species which had no record of invading
other countries, family was chosen as an important determinant of successful introduction. In the optimal establishment model, the number of invaded countries and distribution
range were the most important variables, and their relative importance values were 1
and 0.826, respectively (Fig. 3). The top six variables with an importance value >0.6
also included minimum incubation days (Minincub, 0.647), migration pattern (Migration,
0.633), clutch size (Clutch, 0.62), and habitat type (Habitat, 0.616). RESULTS The relative importance
of the variable family decreased to 0.569 which is therefore much lower than in the optimal
introduction model (see above). For the establishment model based on the classification
tree method (Fig. 2), the number of invaded countries was again the most important
determinant, as it appeared at the top of the tree. In this case it means that the 39
species with a record of invading at least two countries had a 59.0% chance of successful
establishment in Taiwan, while the 56 species with a record of invading fewer than two
countries had only a 23.2% chance of successful establishment. Among the 39 species noted
above, the 21 species with a maximum clutch size (Mclutch) <5.5 had an 81.0% chance of
successful establishment, while the other 18 with a maximum clutch size of ≥5.5 had only
a 33.3% chance of successful establishment. Finally, among the 56 species noted above,
the eight species with a body length (Length) ≥36.5 cm had a 62.5% chance of successful
establishment. Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 Model comparisons and variable treatment comparisons Model comparisons and variable treatment comparisons
Our results showed that for the complete data set of 283 transported species or for the
data set of 95 introduced species, the gradient boosting method performed better than
the other four decision tree methods. While we calculated five performance measures,
the only other study which used the decision tree method on a bird data set was Keller,
Kocev & Džeroski (2011) who calculated only AUROC and accuracy values. Considering
AUROC values first, the AUROC values of gradient boosting of our study were over 0.919
in the introduction models and over 0.971 in the establishment models; thus, they were
all higher than our values for the random forests method. This is in contrast to the results
of Keller, Kocev & Džeroski (2011) who found that, based on the AUROC values, random
forests performed better than gradient boosting for both their New Zealand and Australia
bird data sets. Specifically, AUROC values for gradient boosting for their New Zealand
(79 species with 11 traits) and Australia (52 species with 11 traits) data sets were 0.682
and 0.681, respectively, whereas AUROC values for random forests were 0.731 and 0.745,
respectively. Pearce & Ferrier (2000) suggested that AUROC values between 0.7 and 0.9
indicate a reasonable discrimination ability of models, and values higher than 0.9 indicate a
very good discrimination ability of models. The higher AUROC values of our study might Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 have resulted from the inclusion of more variables (up to 22 variables) rather than larger
samples used for analysis. In our study, both the introduction model and establishment
model used 22 variables, and we found higher AUROC values (0.971–0.985) in the smaller
data set (namely, the establishment model with 95 species) than in the larger data set
(namely, the introduction model with 283 species) (AUROC values 0.919–0.936). We
therefore suggest that even a small data set (less than 100 species) with up to 22 variables
can achieve a prediction model of good performance using the gradient boosting method. have resulted from the inclusion of more variables (up to 22 variables) rather than larger
samples used for analysis. Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 Model comparisons and variable treatment comparisons In our study, both the introduction model and establishment
model used 22 variables, and we found higher AUROC values (0.971–0.985) in the smaller
data set (namely, the establishment model with 95 species) than in the larger data set
(namely, the introduction model with 283 species) (AUROC values 0.919–0.936). We
therefore suggest that even a small data set (less than 100 species) with up to 22 variables
can achieve a prediction model of good performance using the gradient boosting method. Comparing the performances of variable treatment I with variable treatments II and III,
we found little difference on model performance. Treatment II excluded nominal variables,
and treatment III changed ordinal variables of species traits into binary variables, but neither
one of these changes really had much discernable influence on overall performance. Our
results therefore provide evidence to support the use of ordinal variables of species traits,
and that there is no need to convert ordinal variables of species traits to binary ones for
their use in decision tree models. Comparing the performances of variable treatment I with variable treatments II and III,
we found little difference on model performance. Treatment II excluded nominal variables,
and treatment III changed ordinal variables of species traits into binary variables, but neither
one of these changes really had much discernable influence on overall performance. Our
results therefore provide evidence to support the use of ordinal variables of species traits,
and that there is no need to convert ordinal variables of species traits to binary ones for
their use in decision tree models. Predictors of introduction and establishment success in exotic birds Predictors of introduction and establishment success in exotic birds
Perhaps the most interesting and novel result of our study is that, for both the establishment
model and introduction model, the number of previously invaded countries was the most
important or second most important determinant in all the models. Therefore, our study
suggests that future success for introduction and establishment of birds can be gauged by
simply looking at previous success in invading other countries or regions. Future studies
should include this variable to confirm our supposition because it might be a very simple
and straightforward way to predict the potential invasion success of a species: if it has
been successful before, it will probably be successful again. While this variable could not
have been established a few decades ago, we now have a global track record of successful
species invasions, and we might therefore be able to use it to better predict future local or
regional invasions. Furthermore, global studies could investigate what species traits and
other relevant factors, e.g., local ecological factors, are related to the number of successfully
invaded countries; or, given the differential size of countries, the actual area invaded. Another important determinant was family. While family was the most important
variable in the optimal introduction model, it dropped to being only the seventh most
important variable in the optimal establishment model. In other words, family was an
important determinant of introduction but not establishment in Taiwan. Our results thus
differ from those of a global study which found that bird family was also a good predictor
for establishment success (Lockwood, 1999). The discrepancy between this study and our
study could result from the fact that exotic birds in Taiwan are primarily introduced for
aesthetic reasons but not for hunting (Shieh et al., 2006; Su, Cassey & Blackburn, 2016),
while the global data set included many hunted species. Several species traits were also chosen as important determinants for the introduction
and establishment models. For the optimal introduction model, the top three selected
species traits were maximum body mass (Mmass), latitude overlap with Taiwan (Overlap),
and distribution range (Range). Among these three variables, maximum body mass was
ranked the most important, and it also had a relative importance greater than that of two Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 11/15 other closely related measures, specifically, the averaged body mass (Mass) and body length
(Length). Predictors of introduction and establishment success in exotic birds One possible explanation is that birds are usually heavier in captivity under well
fed condition. Our data set contained primarily pet species (and not game species, which are
prevalent in many other studies), and the body mass of pet birds might be higher than the
average body mass of their wild congeners and therefore closer to the maximum attainable
body mass. In order to consider the representability and the maximum adaptation potential
in the invasion process, we therefore suggest that including maximum body mass may
be important in order not to miss a potentially important determinant for the invasion
success of exotic pet birds in particular. For example, Su, Cassey & Blackburn (2016) did
not find that body mass had any influence on introduction success. However, they only
used averaged body mass, and perhaps their result would have been different if they had
also included maximum body mass. Furthermore, Cassey’s (2001) global study found that
averaged body mass was significantly correlated with introduction success which further
supports the role of some measure of body mass being an important determinant of
introduction success. Finally, several species traits related to reproduction were also important, such as
minimum incubation days (Minincub), clutch size (Clutch), dichromatism, and nesting
location (Nesting); however, these determinants were more important in establishment
success than in introduction success. Furthermore, given that some top ranking variables
were associated with maximum or minimum values of species traits, we suggest that in
addition to averagedvalues,reproductive potentialrepresentedbyminimumandmaximum
values of species traits should be considered in prediction models of invasion studies. We conclude that decision tree models are efficient for the analysis of small data sets with
mixed types of variables, including nominal, ordinal and interval variables, in predicting the
invasion success of exotic birds. Our results further demonstrate that the most important
determinants in predicting introduction success of exotic birds in Taiwan were the bird
family, the number of invaded countries, and variables associated with environmental
adaptation, whereas the most important determinants in predicting establishment success
were the number of invaded countries and variables associated with reproduction. ACKNOWLEDGEMENTS We thank Liviu Parau and two anonymous reviewers for their valuable comments and
suggestions on previous drafts of the manuscript. Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 Competing Interests Competing Interests The authors declare there are no competing interests. Supplemental Information Supplemental information for this article can be found online at http://dx.doi.org/10.7717/
peerj.3092#supplemental-information. Supplemental information for this article can be found online at http://dx.doi.org/10.7717/
peerj.3092#supplemental-information. Supplemental information for this article can be found online at http://dx.doi.org/10.7717/ peerj.3092#supplemental-information. Author Contributions • Shih-Hsiung Liang and Bao-Sen Shieh conceived and designed the experiments,
performed the experiments, analyzed the data, contributed reagents/materials/analysis
tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper. • Bruno Andreas Walther conceived and designed the experiments, contributed
reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables,
reviewed drafts of the paper. Data Availability The following information was supplied regarding data availability: The following information was supplied regarding data availability: The raw data has been supplied as a Supplementary File. The raw data has been supplied as a Supplementary File. Supplemental Information Funding This work was supported by the Ministry of Science and Technology, Taiwan, R.O.C. (grant no. MOST 105 - 2311 - B - 037 – 002) and the Forestry Bureau of the Taiwanese
Government. The funders had no role in study design, data collection and analysis, decision
to publish, or preparation of the manuscript. Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 Liang et al. (2017), PeerJ, DOI 10.7717/peerj.3092 Grant Disclosures The following grant information was disclosed by the authors: The following grant information was disclosed by the authors: The following grant information was disclosed by the authors:
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DOI 10.1007/s10530-005-5849-7. 15/15
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Dichagyris (Albocosta) batanga Gyulai & Saldaitis, sp. n. from China (Lepidoptera: Noctuidae)
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SHILAP. Sociedad Hispano-Luso-Americana de Lepidopterología/SHILAP
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Abstract The diagnosis and description of a new species Dichagyris (Albocosta) batanga Gyulai & Saldaitis, sp. n. is
given, with four colour figures and four genitalia figures. KEY WORDS: Lepidoptera, Noctuidae, Dichagyris, new species, China. eISSN: 2340-4078
ISSN: 0300-5267 eISSN: 2340-4078
ISSN: 0300-5267 SHILAP Revista de lepidopterología, 49 (194) junio 2021: 203-206
https://doi.org/10.57065/shilap.295 Resumen Se da la diagnosis y descripción de una especie nueva Dichagyris (Albocosta) batanga Gyulai & Saldaitis, sp. n., con cuatro figuras en color y cuatro figuras de genitalia. PALABRAS CLAVE: Lepidoptera, Noctuidae, Dichagyris, nueva especie, China. Introducción For the most recent revision of the subgenus Albocosta Fibiger & Lafontaine 1997 of the genus
Dichagyris Lederer, 1857, with checklist of taxa, distribution, taxonomic interpretation, and new
descriptions see GYULAI (2021). The further dissections of the late autumnal (from the second half of
September to the end of November) Albocosta specimens from China, led to the recognition of a new
species, was collected by the second author near Batang, Sichuan. The new one is the sister species of
the Dichagyris (Albocosta) stentzi (Lederer, 1853), which is a widely distributed species in Asia
(Russia (Altai, Tuva, Sayan and Baikal area, Transbaikalia, Amur region, Primorye territory, Sakhalin,
Kuriles; pers. comm. V. Kononenko), Kazakhstan, Kyrgyzstan, Mongolia, Korea, China, Tibet, Nepal,
India, Pakistan). All of the further Albocosta species dissected from late autumnal materials from China
proved to Dichagyris (Albocosta) triangularis sinangularis Gyulai, 2021. Dichagyris (Albocosta) batanga Gyulai & Saldaitis,
sp. n. from China
(Lepidoptera: Noctuidae) P. Gyulai & A. Saldaitis PT
= paratype
f
= female PT
= paratype
f
= female PT
= paratype
f
= female Abbreviations AFM
= Alessandro Floriani (Milan, Italy)
HNHM = Hungarian Natural History Museum (Budapest, Hungary)
PGYM = collection of Péter Gyulai (Miskolc, Hungary)
GYP
= genitalia slide of Péter Gyulai
HT
= holotype 203 P. GYULAI & A. SALDAITIS Description of new taxa Dichagyris (Albocosta) batanga Gyulai & Saldaitis, sp. n. (Figs 1-2, 5-6) Holotype 1 0 (Fig. 1): CHINA, W Sichuan, 25 km N from Batang, 3100 m, dry valley,
30º12,049’N, 99º14,078’E, 19-20-IX-2007, leg. A. Saldaitis, slide no. GYP 5350 (coll. PGYM, later to
be deposited in the HNHM). Paratype: 1 0, with same data, slide no. GYP 5367 (coll. AFM). Diagnosis: The females of the new species (Figs 1-2) are slightly larger than most of the females
of the closest relative D. (A.) stentzi (Figs 3-4); forewing length is 18-19 mm wingspans 37-38 mm,
versus 15-19 mm and 30-38 mm. The new species differs in its broader triangular basal black dash,
darker costal area, less elongate orbicular stigma costally and slightly less sinuous subterminal line in
the forewings and darker, fuscous, unicolourous hindwings. Figures 1-4.– Dichagyris (Albocosta) spp., adults. 1. D. (A.) batanga Gyulai & Saldaitis, sp. n., HT, 0, China,
Sichuan (coll. PGYM); 2. D. (A.) batanga Gyulai & Saldaitis sp. n., PT, 0, China, Sichuan (coll. AFM); 3. D. (A.) stentzi (Led.), 0, Russia, Far East, Vladivostok distr., Nachodka (coll. PGYM); 4. D. (A.) stentzi (Led.), 0,
China, Sichuan, Chuan Zhusi/Huang Long, Juraka pass, (coll. PGYM). 1
2
3
4 1 2 1 2 3 4 3 4 Figures 1-4.– Dichagyris (Albocosta) spp., adults. 1. D. (A.) batanga Gyulai & Saldaitis, sp. n., HT, 0, China,
Sichuan (coll. PGYM); 2. D. (A.) batanga Gyulai & Saldaitis sp. n., PT, 0, China, Sichuan (coll. AFM); 3. D. (A.) stentzi (Led.), 0, Russia, Far East, Vladivostok distr., Nachodka (coll. PGYM); 4. D. (A.) stentzi (Led.), 0,
China, Sichuan, Chuan Zhusi/Huang Long, Juraka pass, (coll. PGYM). In the female genitalia (Figs 5-6), the most conspicuous difference is the large lateral diverticulum
in the inner side of the appendix bursae, which is very unique and well differs from that section of the
D. (A.) stentzi (Figs 7-8) and those of the further relative species (see: GYULAI, 2021), as well. The In the female genitalia (Figs 5-6), the most conspicuous difference is the large lateral diverticulum
in the inner side of the appendix bursae, which is very unique and well differs from that section of the
D. (A.) stentzi (Figs 7-8) and those of the further relative species (see: GYULAI, 2021), as well. The 204 SHILAP Revta. lepid., 49 (194) junio 2021 DICHAGYRIS (ALBOCOSTA) BATANGA GYULAI & SALDAITIS, SP. N. Description of new taxa FROM CHINA appendix bursae of the holotype is affected in shape by the presence of spermatophores, however the
large lateral diverticulum is well defined, too. Description (Figs 1-2): Forewing length 18-19 mm wingspans 37-38 mm. Palpi covered with dark
red-brown scales, third segment tiny. Vertex light brown, collar blackish brown with broad light
brownish-ochreous base; vesture of thorax and legs dark reddish-brown, that of abdomen brown. Forewings triangular, apex pointed. Ground colour of forewings dark reddish-brown, slightly lighter in
the marginal area. Costa broadly pale brownish-ochreous until the tip of the reniform stigma,
conjoining with the same-coloured orbicular macula and the light brownish reniform stigma; claviform
stigma small, blackish. Basal dash black, broadly triangular. Transverse lines faint, antemedian line
wavy, postmedian line evenly arcuate, subterminal line finely lacy with a small black dash in the costa;
fringe brown. Hindwings evenly fuscous brown, discal spot a fine arch; fringe pale brown. Female genitalia (Figs 5-6): The main characters are the followings: setose, quadrangular papillae
anales, short apophyses anteriores and much longer apophyses posteriores; sclerotized, broadly V-shaped
antrum with more sclerotized, pincer-like, bilateral, symmetrical lobi; tubular, membranous, posteriorly
broaden, longitudinally wrinkled ductus bursae; saccate appendix bursae and corpus bursae with
numerous fine longitudinal wrinkles; the former one bears a large lateral diverticulum in the inner side. Bionomics and distribution: Two females were collected at ultraviolet light during two nights on
19-20-IX-2007 in remote part of west China Sichuan province near the Batang. Dichagyris (Albocosta)
batanga was collected at altitude ranging 3100 meters in mountain river dry valley rarely covered by
mixed forests dominated by various deciduous trees and bushes. Etymology: The specific epithet refers to the type locality. Acknowledgements The authors are grateful to V. S. Kononenko (Laboratory of Entomology, Vladivostok, Russia) for
information on the distribution of Albocosta in Russia; to Adrienne Gyulai-Garai (Miskolc, Hungary)
for much help in computer works and Alessandro Floriani (Milan, Italy) for access to his rich private
collection provided. BIBLIOGRAFÍA FIBIGER, M. & LAFONTAINE, D., 1997.– Noctuidae III.– In M. FIBIGER. Noctuidae Europaeae, 3: 418 pp. Entomological Press, Sorø. FIBIGER, M. & LAFONTAINE, D., 1997.– Noctuidae III.– In M. FIBIGER. Noctuidae Europaeae, 3: 418 pp. Entomological Press, Sorø. GYULAI, P., 2021.– Notes on the subgenus Albocosta Fibiger & Lafontaine 1997, with descriptions of five new
taxa from Asia (Lepidoptera, Noctuidae.– Ecologica Montenegrina, 40: 26-45. Available from
http://dx.doi.org/10.37828/em.2021.40.2. GYULAI, P., 2021.– Notes on the subgenus Albocosta Fibiger & Lafontaine 1997, with descriptions of five new
taxa from Asia (Lepidoptera, Noctuidae.– Ecologica Montenegrina, 40: 26-45. Available from
http://dx.doi.org/10.37828/em.2021.40.2. p
g
LEDERER, J., 1857.– Die Noctuinen Europa’s mit Zuziehung einiger bisher meist dazu gezählter Arten Noctuinen
Europa’s: 251 pp. Friedrich Manz, Wien. LEDERER, J., 1857.– Die Noctuinen Europa’s mit Zuziehung einiger bisher meist dazu gezählter Arten Noctuinen
Europa’s: 251 pp. Friedrich Manz, Wien. *P. G. Mélyvölgy, 13/A
H-3530 Miskolc
HUNGRÍA / HUNGARY
E-mail: adriennegyulai@gmail.com
https://orcid.org/0000-0003-3878-2880 (Recibido para publicación / Received for publication 1-IV-2021)
(Revisado y aceptado / Revised and accepted 20-IV-2021)
(Publicado / Published 30-VI-2021) (Recibido para publicación / Received for publication 1-IV-2021)
(Revisado y aceptado / Revised and accepted 20-IV-2021)
(Publicado / Published 30-VI-2021) SHILAP Revta. lepid., 49 (194) junio 2021 205 P. GYULAI & A. SALDAITIS Figures 5-8.– Dichagyris (Albocosta) spp., female genitalia; 5. D. (A.) batanga Gyulai & Saldaitis, sp. n., HT,
China, Sichuan, GYP 5350 (coll. PGYM); 6. D. (A.) batanga Gyulai & Saldaitis, sp. n., PT, China, Sichuan
GYP 5367 (coll. AFM); 7. D. (A.) stentzi (Led.), Russia, Far East, GYP 5432 (coll. PGYM); 8. D. (A.) stentzi
(Led.), China, Sichuan GYP 3269 (coll. PGYM). 5
6
7
8 Figures 5-8.– Dichagyris (Albocosta) spp., female genitalia; 5. D. (A.) batanga Gyulai & Saldaitis, sp. n., HT,
China, Sichuan, GYP 5350 (coll. PGYM); 6. D. (A.) batanga Gyulai & Saldaitis, sp. n., PT, China, Sichuan
GYP 5367 (coll. AFM); 7. D. (A.) stentzi (Led.), Russia, Far East, GYP 5432 (coll. PGYM); 8. D. (A.) stentzi
(Led.), China, Sichuan GYP 3269 (coll. PGYM). 5
6
7
8 5 5 6 5 6 7 8 7 7 8 Figures 5-8.– Dichagyris (Albocosta) spp., female genitalia; 5. D. (A.) batanga Gyulai & Saldaitis, sp. n., HT,
China, Sichuan, GYP 5350 (coll. PGYM); 6. D. (A.) batanga Gyulai & Saldaitis, sp. n., PT, China, Sichuan
GYP 5367 (coll. AFM); 7. D. (A.) stentzi (Led.), Russia, Far East, GYP 5432 (coll. PGYM); 8. D. BIBLIOGRAFÍA (A.) stentzi
(Led.), China, Sichuan GYP 3269 (coll. PGYM). 206 SHILAP Revta. lepid., 49 (194) junio 2021
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English
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DNA Methylation Validation Methods: a Coherent Review with Practical Comparison
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Biological procedures online
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cc-by
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© The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. DNA Methylation Validation Methods: a
Coherent Review with Practical Comparison Šárka Šestáková1,2, Cyril Šálek1,2 and Hana Remešová2* Abstract Here, we present a practical overview of four commonly used validation methods for DNA methylation assessment:
methylation specific restriction endonucleases (MSRE) analysis, pyrosequencing, methylation specific high-resolution
DNA melting (MS-HRM) and quantitative methylation specific polymerase chain reaction (qMSP). Using these
methods, we measured DNA methylation levels of three loci in human genome among which one was highly methylated,
one intermediately methylated and one unmethylated. We compared the methods in terms of primer design demands,
methods’ feasibility, accuracy, time and money consumption, and usability for clinical diagnostics. Pyrosequencing and MS-HRM proved to be the most convenient methods. Using pyrosequencing, it is possible to analyze
every CpG in a chosen region. The price of the instrument may represent the main limitation of this methodology. MS-
HRM is a simple PCR-based method. The measurement was quick, cheap and very accurate. MSRE analysis is based on
a methylation specific digestion of DNA. It does not require a bisulfite conversion of DNA as the other methods. MSRE
analysis was very easy to perform, however, it was not suitable for intermediately methylated regions and it was
also quite expensive. qMSP is a qPCR-based method that uses primers designed specifically for methylated and
unmethylated alleles of a chosen region. This was the least accurate method and also the primer design and
optimization of PCR conditions were highly demanding. Keywords: DNA methylation, Validation methods, MSRE, Pyrosequencing, MS-HRM, qMSP Nowadays,
there
is
a
rapid
expansion
of
high-
throughput methods for DNA methylation assessment
with single-base resolution. Array techniques can examine
as much as 850,000 CpGs at once [5] and all CpG sites,
over 28 million in human genome [6], can be analyzed
using whole-genome bisulfite sequencing. These methods
provide not only an overview of the methylation status of
a certain genome, but also a methylation level of each stud-
ied CpG. Despite the advantages of these genome-wide ap-
proaches, it is still essential to have a proper technique for
validation of DNA methylation results for chosen loci. The
ideal validation method should be sensitive, quick, cost ef-
fective and suitable for screening of large sets of clinical
samples to acquire statistically significant data. (2019) 21:19 (2019) 21:19 Šestáková et al. Biological Procedures Online
https://doi.org/10.1186/s12575-019-0107-z Background DNA methylation plays a fundamental role in many crucial
biological processes such as embryonic development, gene
imprinting, and gene expression regulation. In mammals,
the DNA methylation occurs almost exclusively in CpG di-
nucleotides where a methyl group is attached to the fifth
carbon of cytosine base, creating 5-methylcytosine. The
biological effect of DNA methylation depends not only on
its presence or absence but mainly on its exact location in
the genome [1]. Aberrant DNA methylation has been
proved as an inducing mechanism in many cancers and is
connected to other complex disorders (e.g. diabetes and
cardiovascular diseases, neurodegenerative and psychiatric
disorders) [2]. Therefore, DNA methylation profiles are ex-
amined as biomarkers for diagnosis, prognosis, treatment
response and disease monitoring [3, 4]. In this review, we assessed the methylation status of cer-
tain CpGs using four most common methods for DNA
methylation validation. These methods were: quantitative
PCR with prior digestion by methylation specific restric-
tion endonucleases (MSRE), pyrosequencing, methylation
specific high-resolution DNA melting (MS-HRM) analysis,
and quantitative methylation specific polymerase chain * Correspondence: hana.remesova@uhkt.cz
2Institute of Hematology and Blood Transfusion, Prague, Czech Republic
Full list of author information is available at the end of the article * Correspondence: hana.remesova@uhkt.cz
2Institute of Hematology and Blood Transfusion, Prague, Czech Republic
Full list of author information is available at the end of the article Šestáková et al. Biological Procedures Online (2019) 21:19 Page 2 of 11 Šestáková et al. Biological Procedures Online that after BS conversion the DNA strands are no longer
complementary. This must be kept in mind when choos-
ing a method for quantification of BS converted DNA. The reliability of methylation analysis is dependent on a
complete BS conversion. Unconverted cytosines, if present,
would be mistaken for methylated loci and the analysis will
produce biased results. Formerly, the conversion method
required a high DNA input and exposure to high bisulfite
salt concentration under high temperatures and low pH. These harsh conditions resulted in significant DNA frag-
mentation and loss [15]. Nowadays, there is a wide variety
of commercial kits available that are able to convert as low
as 100 pg of DNA in less than 2 h. These kits, nice compari-
son is available here [16], use convenient column system
and guarantee more than 99% conversion efficiency. reaction (qMSP). For proper evaluation of each method,
we selected 3 distinct CpG sites within the human genome
that were > 99%
methylated
(methylated
“M”
locus),
around 50% methylated (intermediately methylated “IM”
locus), and < 1% methylated (unmethylated “U” locus). that after BS conversion the DNA strands are no longer
complementary. This must be kept in mind when choos-
ing a method for quantification of BS converted DNA. The reliability of methylation analysis is dependent on a
complete BS conversion. Unconverted cytosines, if present,
would be mistaken for methylated loci and the analysis will
produce biased results. Formerly, the conversion method
required a high DNA input and exposure to high bisulfite
salt concentration under high temperatures and low pH. These harsh conditions resulted in significant DNA frag-
mentation and loss [15]. Nowadays, there is a wide variety
of commercial kits available that are able to convert as low
as 100 pg of DNA in less than 2 h. These kits, nice compari-
son is available here [16], use convenient column system
and guarantee more than 99% conversion efficiency. Overview of Evaluated Validation Methods
Methods Based on DNA Digestion by MSRE g
y
Restriction methods for quantification of DNA methyla-
tion are simple, rapid and do not require bisulfite conver-
sion of DNA. Selective digestion of DNA by methylation
specific restriction enzymes (HpaII, AatII, ClaI, etc.) was
historically the first method used for assessing DNA
methylation levels [7]. High specificity is characteristic for
this method, however, only the specific restriction sites
can be analyzed which is an important limitation. y
The analysis is based on a selective DNA cleavage by
MSRE which will not cut its restriction site when a
methylated cytosine is present. The most frequently used
enzyme is HpaII with recognition sequence CCGG. It is
also possible to use a pair of isoschisomeric enzymes,
where one is methylation sensitive and the other is not. Most common pair is HpaII/MspI where MspI also
cleaves CCGG sequence but regardless of its methylation
status. In older protocols, resulting fragments were ana-
lyzed on a gel or by a southern blot and the location of
methylated sites was estimated from the fragments’ sizes
[8, 9]. Newer approaches employ quantitative PCR
(qPCR) [10]. In order to determine methylation of a spe-
cific region, DNA is digested by MSRE and subsequently
analyzed with qPCR using primers surrounding the se-
quence of interest. Methylation percentage is counted
from threshold cycles (Ct) measured for digested and
undigested control DNA. For this approach, it is possible
to buy easy-to-use commercial kits with mixes of MSREs
to target more sites, e.g. OneStep qMethyl kit from
Zymo Research [11]. Pyrosequencing
P
i Pyrosequencing is a sequencing method used for quanti-
tative methylation analysis of bisulfite converted DNA. For its relative simplicity, speed and comparable results,
pyrosequencing can be preferred to cloning [17], a
method used as a gold standard for identification of al-
lele specific methylation patterns [18]. Another advan-
tage of pyrosequencing is that it is suitable for both CpG
poor and CpG rich regions. Main drawback of this
method is that only shorter regions (maximum 350 bp)
can be analyzed. However, this disadvantage can be
overcome by using more sequencing primers on one
amplicon or by a serial pyrosequencing [19, 20]. Pyrosequencing process can be divided into three steps:
(i) PCR amplification and tagging using a biotinylated pri-
mer, (ii) isolation of the PCR product with streptavidin
beads and hybridization with a sequencing primer, and
(iii) sequencing. During the sequencing step, nucleotides
are added in a predefined order depending on the sequence
of interest. The technology is based on a release of pyro-
phosphate (PPi) during nucleotide incorporation when
complementary to the template DNA strand (the purified
PCR product). An ATP sulfurylase then uses PPi and ad-
enosine phosphosulfate to produce ATP. ATP is utilized by
luciferase which converts luciferin to oxyluciferin. The in-
tensity of produced light is detected and translated as a
peak on a pyrogram [21]. Methylation percentage is then
calculated from the ratio of heights of a cytosine peak
(methylated signal) and the sum of cytosine and thymine
peaks (methylated and unmethylated signal) for each cyto-
sine in a CpG dinucleotide. Primers can be easily designed with free online software
such as Primer3Plus [12] (http://www.bioinformatics.nl/cgi-
bin/primer3plus/primer3plus.cgi) or Primer-BLAST [13]
(https://www.ncbi.nlm.nih.gov/tools/primer-blast/). How-
ever, it is required that at least two restriction sites are in-
side
the
amplicon
to
reliably
measure
the
DNA
methylation. Thus, it is not possible to investigate the
methylation level of only one particular CpG site. Methods Requiring Bisulfite Converted DNA There should be at least four non-CpG cyto-
sines in each primer to assure that only a properly BS con-
verted DNA will be amplified. Presence of a CpG and
therefore a use of a degenerated primer in not recom-
mended because it may lead to a preferential amplification
of a specific subset of molecules [21]. However, in some of
our previous experiments we used degenerated primers
without any difficulties. One of the PCR primers must be
labeled on its 5’end by biotin and this primer should be
purified by HPLC or an equivalent procedure to assure
zero contamination by free biotin molecules. The orienta-
tion of a sequencing assay depends on which primer is
tagged. It is also essential to incorporate all biotinylated
primers into amplicons during the PCR step. Otherwise,
these primers might compete with the amplicons during
the streptavidin binding. It is recommended to use 0.1 μM
biotinylated primer and 0.2 μM unlabeled primer concen-
trations and 45–50 PCR cycles. It is also possible to use a
universal biotinylated primer and a tailed reverse primer in
5:(0.01–1) ratio [20, 25]. The use of a universal biotinylated
primer significantly reduces the costs when having more
pyrosequencing assays for various regions. On the other
hand, it sometimes requires deeper PCR optimization to
gain a sufficient amount of the PCR product. The amount
and size of the amplified PCR product as well as a negative
PCR control should be always checked by an agarose gel
electrophoresis to prevent further complications. Sequencing primer should be 15–20 bp long with a
melting temperat re bet een 45 and 55 °C The most Having a strong amplicon with no side product, and
therefore a high-quality primer design, is crucial for this
assay. One way is to order the primers from commercial
companies. For example, Qiagen offers a full assay design
for desired regions and it is also possible to buy a prede-
signed primer set. The other option is to use a free soft-
ware for bisulfite primer design such as MethPrimer [22]
(http://www.ucsf.edu/urogene/methprimer/index1.html), A set of assay validation reactions, listed in appendix B
of PyroMark Q24 User Manual 2016, should be always
performed before using the assay to analyze samples. Methods Requiring Bisulfite Converted DNA Bisulfite (BS) conversion of DNA is a crucial step in
most DNA methylation analyses. Already in 1970, it was
discovered that sodium bisulfite mediates the deamin-
ation of cytosine into uracil while the methylated cyto-
sine is left intact [14]. After PCR amplification, the
converted residues are read as thymines and methylated
cytosines will remain cytosines. It is important to note As mentioned above, this method is suitable for regions
80–200 bp long. One reason is that longer amplicons
could form secondary structures and loops that would im-
pede the sequencing reaction. The second issue arises dur-
ing the sequencing procedure where nucleotides are
added in each sequencing cycle. The volume in reaction
wells increases which causes dilution of all reagents and Page 3 of 11 Šestáková et al. Biological Procedures Online (2019) 21:19 Šestáková et al. Biological Procedures Online on the 3’end which should be unique in the amplicon. Also, it is not recommended to use the non-biotinylated
PCR primer as a sequencing primer. The sequencing pri-
mer should differ from the PCR primer in at least one
additional nucleotide on the 3’end [21]. Nevertheless, we
tried to use the non-biotinylated primer as a sequencing
primer in some of our previous experiments and the py-
rosequencing was successful. thus a decrease of the signal. At the same time, the back-
ground signal rises during the sequencing due to an in-
complete degradation of previously added nucleotides
[21]. Because of that, a signal measured after 90–100 cy-
cles has low quality and the results are not credible [20]. cles has low quality and the results are not credible [20]. Having a strong amplicon with no side product, and
therefore a high-quality primer design, is crucial for this
assay. One way is to order the primers from commercial
companies. For example, Qiagen offers a full assay design
for desired regions and it is also possible to buy a prede-
signed primer set. The other option is to use a free soft-
ware for bisulfite primer design such as MethPrimer [22]
(http://www.ucsf.edu/urogene/methprimer/index1.html),
Bisearch [23] (http://bisearch.enzim.hu/) or MethylPrimer
Express by Applied biosystems (http://www.appliedbiosys
tems.com/methylprimerexpress). Moreover, it is important
to check
for potential primer dimers
formation or
self-complementarity of the primers, e.g. with Multiple Pri-
mer Analyzer (https://www.thermofisher.com/cz/en/home/
brands/thermo-scientific/molecular-biology/molecular-biol-
ogy-learning-center/molecular-biology-resource-library/
thermo-scientific-web-tools/multiple-primer-analyzer.html). Primers should be 15–30 bp long (20 bp is optimal) with a
melting temperature between 50 and 69 °C (optimally
60 °C) [24]. Methods Requiring Bisulfite Converted DNA These controls are (i) PCR reaction without template
DNA, (ii) PCR product without sequencing primer, (iii)
sequencing primer without PCR product, (iv) biotinyl-
ated primer without PCR product, and (v) sequencing
primer and biotinylated primer together without PCR
product. Moreover, in each assay, controls of BS conver-
sion should be included in the dispensation order [21]. The BS conversion ratio can be evaluated when a dis-
pensation of cytosine nucleotides is incorporated before
or after thymines which are supposedly converted cyto-
sines in the sequence. In case of an unsuccessful BS con-
version, peaks would appear in the pyrogram for these
additional dispensations. p
f
g
p
Bisearch [23] (http://bisearch.enzim.hu/) or MethylPrimer
Express by Applied biosystems (http://www.appliedbiosys
tems.com/methylprimerexpress). Moreover, it is important
to check
for potential primer dimers
formation or
self-complementarity of the primers, e.g. with Multiple Pri-
mer Analyzer (https://www.thermofisher.com/cz/en/home/
brands/thermo-scientific/molecular-biology/molecular-biol-
ogy-learning-center/molecular-biology-resource-library/
thermo-scientific-web-tools/multiple-primer-analyzer.html). Methylation Specific HRM Analysis MS-HRM is a method based on different melting tem-
peratures (Tm) of methylated and unmethylated DNA. Tm is defined as a temperature at which the two DNA
strands dissociate and is characterized by a sudden drop
of fluorescence signal due to a release of an intercalating
dye, e.g. SYBR Green, EvaGreen or SYTO9. Tm depends
on the DNA base composition because CG base pairs
are connected by three hydrogen bonds and AT pairs
only by two. This also enables to differentiate between
methylated and unmethylated DNA after a BS conver-
sion where the unmethylated cytosines are converted to
uraciles and after PCR changed to thymines. MS-HRM comprises of PCR for amplification of a
chosen region followed by HRM analysis with ramping
by only 0.1 °C [26]. It is recommended to use quantita-
tive PCR for the amplification as an additional quality
control [27]. For the DNA methylation assessment,
DNA standards are analyzed together with the samples. Standards are prepared by diluting fully methylated BS
converted DNA by fully unmethylated BS converted
DNA and are usually 100, 75, 50, 25, 10 and 0% methyl-
ated. By comparing the HRM curves of standards and
samples it is possible to determine an approximate
methylation level [26]. Several more quantitative ap-
proaches for establishing the DNA methylation were de-
veloped. It is possible to construct a linear curve by
plotting the temperature at which 50% of DNA is disso-
ciated (T50) against the methylation percentage of the Sequencing primer should be 15–20 bp long with a
melting temperature between 45 and 55 °C. The most
relevant part of the primer are the last four or five bases Page 4 of 11 Page 4 of 11 Šestáková et al. Biological Procedures Online (2019) 21:19 Šestáková et al. Biological Procedures Online this method is more suitable for CpG rich regions, like
CpG islands. There should be again at least five thymines,
BS converted unmethylated cytosines, included in the se-
quence to assure that only a properly BS converted DNA
will be amplified [16]. Primers length should be at least
23 bp with melting temperature between 55 and 65 °C. It
is recommended that Met and Unm primers have similar
melting temperatures. To achieve that, it is often needed
to prolong the Unm primer on the 5’end because the BS
conversion decreases the Tm of unmethylated DNA [35]. Methylation Specific HRM Analysis The
above-mentioned
software
for
finding
bisulfite
primers for pyrosequencing or MS-HRM can be also used
for designing MSP primer sets. standards [28]. Another method estimates the methyla-
tion level by using two sets of primers, methylated and
unmethylated, for amplification. A differential melting
profile is then calculated by normalizing the methylated
HRM profile against the unmethylated. The differential
fluorescence peak heights are then plotted against the
dilution factor which generates a linear calibration curve
[29]. Another approach uses peak heights and area
under the curve (AUC) of normalized and temperature
shifted first derivatives of HRM curves. There is a linear
dependency between these values and the methylation
percentage [27]. p
g [
]
For MS-HRM analysis, the only requirement are primers
surrounding the region with CpGs of interest. It is again
crucial to obtain a pure PCR product. Primers should be
between 15 and 30 bp long with similar melting tempera-
tures around 65 °C. This will allow to run the PCR at ap-
proximately 60 °C which is important for the method’s
specificity [30]. Generally, for this type of primers that sur-
round the region of interest, it is not advised to have a CpG
inside the primer. However, Wojdacz et al. have shown that
inclusion of a CpG in the primer sequence can compensate
the PCR bias towards unmethylated alleles and thus signifi-
cantly increase the method’s sensitivity [30, 31]. They also
claim that MS-HRM is taken as a method to assess methy-
lation levels and therefore a slight bias towards the methyl-
ated sequences further increases the method’s sensitivity
[32]. According to their recommendations, the primers
should contain one or two CpG dinucleotides as close to
their 5’end as possible [33]. It is necessary to have several
thymines, corresponding to unmethylated cytosines, in-
cluded in the primer sequence to amplify only properly
converted DNA. It is also advisable to check for primer di-
mers and loops formation. The amplicon should be kept
small, around 100 bp, to reduce the complexity of its melt-
ing profile [32]. Nevertheless, it should be considered that a
shorter PCR product gives higher sensitivity but limited
resolution between methylation levels because of only small
difference between methylated and unmethylated DNA. Longer amplicons have more distinguishable methylation
profiles [26]. During the PCR, the number of amplification cycles
should not exceed 35 because after that a false methyla-
tion signal could appear. Methylation Specific PCR In this methodology, DNA methylation is examined by
two sets of primers where one is specific for a methyl-
ated state (Met) and the other pair for an unmethylated
state (Unm) of a certain genomic locus. A set of two
PCR reactions is performed and the products are ana-
lyzed via a gel electrophoresis [34]. Methylation Specific HRM Analysis It is also crucial to use such an-
nealing temperature (Tann) that the primers are specific
for the DNA methylation status they were designed for
[35]. Thus, it is essential to perform proper control reac-
tions in each new MSP experiment such as PCR with both
methylated and unmethylated standards, no template con-
trol and PCR with non-converted DNA [16]. For a long time, this method was only qualitative. As a
result of the electrophoresis, it was possible to recognize
that only methylated or unmethylated locus or both loci
were amplified. Previous studies did not find any clear
correlation between the size of the band on the gel and
the amount of DNA examined. Nevertheless, this does not
compromise the great sensitivity of this method [16]. Newer protocols employ quantitative PCR and make this
method semiquantitative or quantitative. For example, for
establishing unmethylated DNA, qPCR is performed with
Unm primers together with bisulfite specific primers
(BSP) that amplify chosen locus independently of its
methylation status. The ratio of unmethylated alleles to
total number of amplified molecules is then calculated by
either classical ΔΔCt approach with or without correction
for primers efficiency [36] or by a demethylation index, as
proposed in another study [37]. Apart from using simple
qPCR with an intercalating dye, a quantitative method
called MethylLight was developed. It uses a pair of methy-
lation specific TaqMan probes where each probe, designed
for either methylated or unmethylated DNA, is tagged
with different fluorophore [38]. When using quantitative
MSP approaches, it is advisable to perform a melt analysis
after the PCR to check for any side products [35]. Results and Discussion
MSRE Analysis With the MSRE approach, we were able to accurately
measure methylation levels of the M and U loci. However,
for the IM locus, we acquired lower methylation levels
than expected. Therefore, we performed two additional
MSRE experiments with shortened digestion time to see Despite the relative simplicity of this method, finding
convenient methylated and unmethylated primers is
sometimes challenging. The primers are designed to span
the analyzed region and should contain from one to three
CpGs ideally located at the 3’end of the primer. Therefore, Šestáková et al. Biological Procedures Online (2019) 21:19 Page 5 of 11 Šestáková et al. Biological Procedures Online Fig. 1 The influence of digestion time on measured methylation
levels in MSRE analysis. Error bars represent the standard deviation
(n = 4). M - methylated locus, IM – intermediately methylated locus,
U – unmethylated locus agarose gel electrophoresis, the peak height of a single
base was always around 50–200 units. In the resulting pyrograms, it was obvious that the sig-
nal starts dropping significantly after 45th dispensation
cycle which roughly corresponds to a 100 bp region. This is in accordance with the recommendations for this
method to keep the studied region short [20]. In our experiments, we measured four CpGs in the M
locus and all were highly methylated (95.4 ± 3.1%). In
the U locus, we measured three CpGs and all were
unmethylated (7.4 ± 3.1%). There were only two CpGs in
the IM locus. The IM CpG chosen from the Infinium
MethylationEPIC BeadChip data was indeed intermedi-
ately methylated 58.5 ± 7.3%. However, the next CpG in-
cluded
in
the
sequenced
amplicon
was
rather
unmethylated 18.4 ± 3.8%. The final average methylation
of the studied region was thus around 37%. This demon-
strates
the
main
advantage
of
the
pyrosequencing
method which is the base resolution. The other quite
beneficial aspect of pyrosequencing is the bisulfite con-
version control which allows us to see whether the BS
conversion was done properly [21]. We always included
at least three of these BS control dispensations in our
pyrosequencing assays. Fig. 1 The influence of digestion time on measured methylation
levels in MSRE analysis. Error bars represent the standard deviation
(n = 4). M - methylated locus, IM – intermediately methylated locus,
U – unmethylated locus whether it will increase the methods accuracy for the IM
locus. Results and Discussion
MSRE Analysis The recommended digestion time was 2 h, so we
additionally tried 1.5-h and 1-h digestions. There was no
statistically significant difference in DNA methylation
levels measured after various digestion times. We achieved
only a slight improvement for the IM locus, where the cal-
culated methylation percentage rose from 12 to 17% when
the digestion time was shortened to 1 h. The methylation
levels for M and U loci remained the same. The results for
all three loci are shown in Fig. 1. Based on these results,
we propose that a shorter digestion time may be used to
make the MSRE method faster while retaining the original
results. MS-HRM Wojdacz et al. have shown that inclusion of a CpG to
the primer sequence can compensate the PCR bias of
unmethylated alleles by favoring amplification of methyl-
ated alleles [32]. Thus, we designed two sets of HRM
primers for the M and U loci. One primer set did not in-
clude any CpGs in its sequence. The other set was de-
signed according to Wojdacz et al. [30] and each primer
had one or two CpGs on its 5’end. It was not possible to
design Wojdacz HRM primers for the IM region because
of its CpG shortage. Sequences of the primers are listed
in Table 1. Pyrosequencing
I
h In the pyrosequencing procedure, the most important step
for a successful analysis is gaining a strong amplicon. However, even when we detected a strong band on our
agarose gel after the PCR, we did not achieve the desirable
signal during pyrosequencing. Thus, we tried to enhance
the binding of the amplified, biotin-labeled PCR product
by adding more streptavidin beads into the process. We
compared the results after adding 1, 2 and 3 μl of strepta-
vidin beads per sample. The 2 μl proved to be ideal for
gaining the strongest signal on the pyrogram. Additionally,
we prolonged the agitation step to 20 min to increase the
number of bound molecules. Also, we noticed that after
the agitation, it is essential to proceed immediately to the
next step to ensure that the beads are resuspended in the
tube and will be taken up efficiently by the probes in the
subsequent procedure. According to the manufacturer, for
accurate results the peak height of a single base should be
at least 40 units in the pyrogram. From our experience, ex-
periments where single based peaks are at least 25 units
high give reliable results. Nevertheless, when a strong
amplicon was acquired, judging by the results of the From acquired MS-HRM data, we constructed calibra-
tion curves as proposed by Tse et al. [27] for every pri-
mer set. The correlation coefficients (R2) for peak
height-based calibration curves together with calculated
methylation levels for each locus are summarized in
Table 2. The AUC-based calibration curves had slightly
lower correlation coefficients. This was probably caused
by less exact AUC calculations performed in Excel which
we used to keep the data analysis as simple as possible. Still, the AUC-based DNA methylation assessment gave
similar
results
as
the
peak
height
approach
(see
Additional file 1). Interestingly, the results in Table 2 show that the
Wojdacz’s improvement of primers’ sequence was
quite beneficial for the U region. However, it caused
a deviation in measurements of the M region result-
ing in worse R2 of the calibration curve and lower Šestáková et al. Pyrosequencing
I
h Biological Procedures Online (2019) 21:19 Page 6 of 11 Table 1 Primer sequences and characteristics
Primer type
Forward/ sequencing primer
Reverse primer
Tann
[°C]
Product
length [bp]
M pyrosequencing
GGTAGGAGGATGGTTTGAATT/
GGTGGAAATGAAGTAGGTGTGTTTG
GTGCCGAGGCTCAGGCAACACTACTCTTACCAAAACAACC
60
373/
227
IM pyrosequencing
GTTAAGGGGGTGTATTTTAGAGA/
GGTAGAGAGAAGTTTTTTTTGTAGG
GTGCCGAGGCTCAGGCCTTAACTACTTTCCCAAACTACCT
58
399/
339
U pyrosequencing
GGGGGGGTGTTAGTATTTG/
TTAGTATTTGYGTTGTGGAGTG
GTGCCGAGGCTCAGGCCCAAACTAACCTAATAAAACC
58
300/
290
Universal biotinylated primer
5’biotin-TCTGTGCCGAGGCTCAGGC
M MSRE
TTTTCTGTGACCTCCTTTGG
CAGTGTGACTGCTGGTGAAG
60
243
N MSRE
GCAATAGGCGTTAATGTCGT
AGGAGTGGCAAAAGAGGACT
60
199
U MSRE
CGCTTAGCAATCATCGACTT
GAAACAGGCCGCATCCTC
60
265
M MSP Met
GTATATTCGGAATTATTTCGTTTTC
AATTAACAACCGACAACCG
56
72
M MSP Unm
GATGTATATTTGGAATTATTTTGTTTTT
AATTAACAACCAACAACCA
56
75
IM MSP Met
CGGTTTTTATAGTTTTGAATTAGATC
TTATTTATTATCACATCAACTACTTCCG
58
166
IM MSP Unm
ATTGGTTTTTATAGTTTTGAATTAGATT
TTATTTATTATCACATCAACTACTTCCA
58
168
U MSP Met
CGTTGTGGAGTGAAGTGAATC
ACCGAACGAACAATAAACGAA
54
210
U MSP Unm
TGTGTTGTGGAGTGAAGTGAATT
ACCAAACAAACAATAAACAAAAAA
54
212
M HRM
TTGGGTGGAAATGAAGTAGGTGTG
CCAAACCATTAACCATAACAATA
54–58*
94
IM HRM
TTTGGGGAAAAAATATATGGAGTT
CTACTAATAAAACCCTTTACTCCCA
54–58*
90
U HRM
TTAGTATTTGYGTTGTGGAGTG
CCRACACTTACTCTTATTAACRATC
54–58*
93
M HRM Wojdacz
CGGGGGGGTGTTAGTATTTG
CCCGACACTTACTCTTATTAACRATC
55
110
U HRM Wojdacz
TCGTGTTTTTTTTTGGGTGGAAATG
GCGACCAAACCATTAACCATAACA
55
104
*For MS-HRM experiments Tann was 55 °C, in qMSP experiments Tann of MSP primers was used
M methylated locus, IM intermediately methylated locus, U unmethylated locus, MSP methylation specific PCR, Met primers for methylated DNA sequence, Unm
primers for unmethylated DNA sequence, HRM high resolution melting analysis, Tann annealing temperature *For MS-HRM experiments Tann was 55 °C, in qMSP experiments Tann of MSP primers was used
M methylated locus, IM intermediately methylated locus, U unmethylated locus, MSP methylation specific PCR, Met primers for methylated DNA sequence, Unm
primers for unmethylated DNA sequence, HRM high resolution melting analysis, Tann annealing temperature *For MS-HRM experiments Tann was 55 °C, in qMSP experiments Tann of MSP primers was used
M methylated locus, IM intermediately methylated locus, U unmethylated locus, MSP methylation specific PCR, Met primers for methylated DNA sequence, Unm
primers for unmethylated DNA sequence, HRM high resolution melting analysis, Tann annealing temperature qMSP calculated
methylation
levels. It
is
thus
not
so
straightforwardly beneficial to introduce the CpGs
into primers’ sequence. Gaining the optimal results
apparently
require
additional
thorough
Ta
optimization to achieve equal amplification of meth-
ylated
and
unmethylated
alleles
with
Wojdacz’s
primers [26]. Nevertheless, with all primer sets, the
methylation levels of all three loci were measured
accurately enough. We designed both Met and Unm primer sets for each
locus to perform the qMSP experiments. Reassuringly, in
all investigated samples, the M locus was amplified only
by Met primers, the U locus only by Unm primers and the
IM locus was amplified by both Met and Unmet primer
sets. Regarding the DNA methylated and unmethylated
standards, all three loci were always amplified only by the
corresponding Met or Unm primer set. The HRM primers
were used as BSP, amplifying the region independently of
its methylation status. Summary of Ct values and mea-
sured efficiencies for all primer sets is shown in Table 3. We were not able to measure the efficiency for IM Unm
primer set properly. The deviation between duplicates was
higher probably because the efficiency of the primer set
was low and the amplification of the first dilution began
always after 34th cycle. The measurement was thus less
reliable despite the fact that the resulting calibration curve
had R2 > 0.99. Therefore, we tried to count the efficiency
of MSP primers based on Ct values measured for stan-
dards and an assumption that BSP primers have 100% effi-
ciency. We used the following equation Ec ¼ 100∙CBSP
t
CMSP
t
. Table 2 Correlation coefficients for peak height-based MS-HRM
calibration curves and counted methylation levels
Locus name
Primer set
R2
Methylation [%]
(n = 10)
± SD
M
M HRM
0.952
93.61
5.28
M
M HRM Wojdacz
0.798
85.49
5.13
IM
IM HRM
0.973
29.20
4.71
U
U HRM
0.868
2.69
1.04
U
U HRM Wojdacz
0.938
0.57
0.81
M methylated locus, IM intermediately methylated locus, U unmethylated
locus, R2 square of the correlation coefficient, SD standard deviation. Table 2 Correlation coefficients for peak height-based MS-HRM
calibration curves and counted methylation levels Šestáková et al. Overall Methods Comparison This counted efficiency corresponded well with the mea-
sured efficiency (Table 3) and we used it in the subsequent
analysis for the IM Unm primer set. This counted efficiency corresponded well with the mea-
sured efficiency (Table 3) and we used it in the subsequent
analysis for the IM Unm primer set. The final results of DNA methylation levels measured
by all four methods are shown in Fig. 2. All methods
were comparable and correlated with each other with
R2 > 0.92 and p-value < 1.2·10−17, except the qMSP
method results of which were spoiled by extreme standard
deviations. We also provide a review of all costs and mea-
surements for each method in Table 5 and a final evalu-
ation of few other parameters in Table 6. We analyzed our data using all three approaches
reviewed by Housseiny et al. [36]. The relative expres-
sion ratio method, developed originally by Pfaffl [39],
gave very variable results with extremely high standard
deviation and thus was not reliable (see Additional file 2). The other approaches, demethylation index and ΔΔCt,
gave quite similar results, reviewed in Table 4. The M
locus was highly amplified by the MSP Met primers. The seemingly double amplification of MSP primers
compared to BSP primers indicated by ΔΔCt ≅2 is prob-
ably caused by the method’s inaccuracy because when
we repeated the experiment with five samples, the ΔΔCt
results were 1.5 ± 0.3. The ΔΔCt results for U locus were
close to 1, meaning that the number of molecules ampli-
fied by MSP Unm and BSP primer set was comparable. Regarding the IM locus, the MSP Unm primers ampli-
fied around half of the molecules in comparison with
the BSP primers, which corresponds with the expected
intermediate methylation level of this locus. However,
the results of MSP Met primers were spoiled by the dis-
proportionately high Ct measured for the methylated
DNA standard resulting in a very low ratio of molecules
amplified by MSP Met primers in the samples. This
could be caused by a higher affinity of Met primers to
the methylated DNA standard, compared to samples’
DNA that was rather unmethylated in the IM region. Indisputably, pyrosequencing has most advantages in
terms of the DNA methylation assessment of a specific
locus. Primer design and interpretation of the results is
straightforward with available software. qMSP Biological Procedures Online (2019) 21:19 Page 7 of 11 Table 3 qMSP Ct values and primers’ efficiencies
Locus and used
primer set
Average Ct of samples (n = 10)
Ct of standards
Efficiency
MSP
± SD
BSP
± SD
MSP
BSP
MSP measured
MSP counted
BSP measured
M Met
23.18
0.52
22.88
0.27
24.01
22.70
96.47
94.57
83.00
IM Met
34.54
1.23
24.33
0.35
29.23
24.51
81.13
83.85
94.78
IM Unm
32.21
0.50
24.33
0.35
31.99
25.15
125.80
78.63
94.78
U Unm
37.36
0.80
23.04
0.20
37.95
23.40
65.93
61.66
90.52
M methylated locus, IM intermediately methylated locus, U unmethylated locus, Met primers for methylated DNA sequence, Unm primers for unmethylated DNA
sequence, MSP methylation specific primers, BSP bisulfite specific primers (methylation independent), SD standard deviation. Table 3 qMSP Ct values and primers’ efficiencies M methylated locus, IM intermediately methylated locus, U unmethylated locus, Met primers for methylated DNA sequence, Unm primers for unmethylated DNA
sequence, MSP methylation specific primers, BSP bisulfite specific primers (methylation independent), SD standard deviation. Overall Methods Comparison Only the PCR step
may require some optimization for gaining a sufficient
amplicon but this is not always necessary. A disadvantage
of this method may be the relatively high price of the in-
strument. Also, the method is more time consuming be-
cause it comprises three steps: PCR, gel electrophoresis
and sequencing itself. This also corresponds with the
higher price per one measurement. When the pyrosequencing instrumentation is unavail-
able, we recommend using MS-HRM. The primer de-
sign is feasible for most regions. In our experiment, we
had a CpG poor region (IM) as well as CpG dense re-
gions (M and U) and were able to design reliable sets of
primers for both. As we discussed in the chapter about
the
results
from
MS-HRM,
deep
optimization
of
primers’ sequence and Tann is not needed for method
resolution of 5–10%. This method is very simple as well
as cost and time effective. The approximate results can
be derived immediately from the melting curves. The
exact quantification is not so straightforward when a
specific software is not provided. Nevertheless, the cal-
culations can be done using free software and Excel, as
we have shown. Table 4 Summary of qMSP methylation results calculated using
demethylation index and ΔΔCt approach
Locus and used
primer set
Demethylation index
ΔΔCt
Average (n = 10)
± SD
Average (n = 10)
± SD
M Met
2.02
0.60
2.09
0.66
IM Met
0.05
0.03
0.03
0.02
IM Unm
0.51
0.10
0.50
0.12
U Unm
1.03
0.30
1.30
0.66
M methylated locus, IM intermediately methylated locus, U unmethylated
locus, Met primers for methylated DNA sequence, Unm primers for
unmethylated DNA sequence, SD standard deviation Table 4 Summary of qMSP methylation results calculated using
demethylation index and ΔΔCt approach The MSRE analysis proved to be a quick and simple
method. The main advantage of this approach is that it
does not require the BS conversion of DNA. Thus, less
DNA is needed to perform the analysis and it also makes
the primer design easier. We were able to accurately
measured the DNA methylation in M and U regions. Obviously though, the method is not suitable for inter-
mediately methylated
loci. Even by
shortening
the Šestáková et al. Biological Procedures Online (2019) 21:19 Page 8 of 11 Fig. 2 Summary of DNA methylation levels measured by the investigated methods. Overall Methods Comparison The average methylation of 10 samples is shown, the error
bars represent the SD. Displayed MSRE data were measured after 2-h digestion. Displayed MS-HRM data were acquired using HRM M, HRM IM
and HRM U Wojdacz primers. qMSP data shown were calculated using ΔΔCt approach and multiplied by 100 to gain the percentage. For the M
locus in qMSP, all values were higher than 100% so we set the mean to 100% to make the figure more comprehensible, the SD was calculated
from the original values multiplied by 100. For the IM and U loci in qMSP, we calculated the methylation percentage as 1-(Unm ΔΔCt), the SD
was also calculated from the original ΔΔCt values multiplied by 100. M – methylated locus, IM – intermediately methylated locus, U –
unmethylated locus Fig. 2 Summary of DNA methylation levels measured by the investigated methods. The average methylation of 10 samples is shown, the error
bars represent the SD. Displayed MSRE data were measured after 2-h digestion. Displayed MS-HRM data were acquired using HRM M, HRM IM
and HRM U Wojdacz primers. qMSP data shown were calculated using ΔΔCt approach and multiplied by 100 to gain the percentage. For the M
locus in qMSP, all values were higher than 100% so we set the mean to 100% to make the figure more comprehensible, the SD was calculated
from the original values multiplied by 100. For the IM and U loci in qMSP, we calculated the methylation percentage as 1-(Unm ΔΔCt), the SD
was also calculated from the original ΔΔCt values multiplied by 100. M – methylated locus, IM – intermediately methylated locus, U –
unmethylated locus digestion time to half of that recommended, the mea-
sured DNA methylation of IM locus remained signifi-
cantly lower than expected. Also, the method is very
costly when compared to the other three. which both Met and Unm primer sets were specific only
for the methylated or unmethylated allele respectively but
still functional so that it amplified the corresponding
DNA standard. When we finally achieved this, the primers
had very low efficiency, except for the M Met primer set. Moreover, the exact quantification of measured data was
difficult and the results of the M and U loci had extremely
high standard deviations within the samples. This method, The last method evaluated was qMSP and this caused
the most difficulties. Overall Methods Comparison The primer design was quite challen-
ging and nearly impossible for the IM locus because of its
lack of CpGs. Overall Methods Comparison Biological Procedures Online (2019) 21:19 Šestáková et al. Biological Procedures Online (2019) 21:19 despite of its simplicity, is also quite expensive because it
requires amplification of a chosen region by at least one
MSP primer set and BSP primers. despite of its simplicity, is also quite expensive because it
requires amplification of a chosen region by at least one
MSP primer set and BSP primers. Samples and DNA Standards This study was approved by the Institutional Ethics
Committee and all blood donors provided their full con-
sent. Mononuclear cells of ten healthy blood donors
were harvested from buffy coats by Ficoll gradient cen-
trifugation (Histopaque, Sigma-Aldrich, St.Louis, MO,
USA). DNA
was
extracted
using
MagCore
system
(RBCBioscience, New Taipei City, Tchaj-wan). Human
Methylated & Non-methylated DNA Set (Zymo Re-
search, Irvine, CA, USA) was used as methylated and
unmethylated standards. Conclusion Even in the era of arrays and next-generation sequencing,
it is essential to have a method for validation of acquired
DNA methylation data. A quick, cost-effective, and reli-
able method that would enable to confirm or reject a po-
tential clinical significance of certain methylation changes
and could be used in common laboratory practice is still
needed. We tested four standard methods that are used for DNA
methylation validation: MSRE analysis, pyrosequencing,
MS-HRM and qMSP. In terms of overall feasibility, ob-
tained DNA methylation information and consistency
across various methylation levels, we consider pyrosequenc-
ing and MS-HRM approaches as the most suitable. Pyrose-
quencing enables base resolution and thus acquisition of a
methylation level for each CpG in the region, an indisput-
able benefit. MS-HRM can be also designed to investigate a
single CpG locus when needed. Otherwise, it provides an
overall DNA methylation status of all CpGs inside the stud-
ied region. Apparently, MSRE and qMSP are not very
applicable for the detection of intermediate levels of DNA
methylation. Nonetheless, MSRE does not require BS con-
version of DNA and as we showed here, the digestion time
can be shortened to one half. This makes the MSRE ana-
lysis the simplest and fastest out of the four methods com-
pared. The qMSP approach proved to be quite imprecise
and demanding so it may be more convenient to keep this
method only as a qualitative tool. Primer Design Primer Design
For MSRE analysis, online software Primer3Plus (http://
www.bioinformatics.nl/cgi-bin/primer3plus/primer3plus. cgi) was used. For methods that require BS converted
DNA, we used Methyl Primer Express Software v1.0
(Thermo Fisher Scientific). For primers’ sequences and
characteristics see Table 1. Positions of all primer pairs
within the studied regions are shown in Fig. 3. MSRE Analysis OneStep qMethyl Kit (Zymo Research) was used for
MSRE analysis. For each sample, DNA (20 ng) was proc-
essed through the Test and Reference reactions according
to the manufacturer’s protocol. In the PCR step, Tann was
set to 60 °C and annealing time was shortened to 45 s. Rotor-Gene Q 2plex HRM Platform (Qiagen, Hilden,
Germany) was used to perform the measurements. Materials and Methods
Characterization of Analyzed CpGs Characterization of Analyzed CpGs The three analyzed CpGs with different levels of methyla-
tion were selected based on healthy donors’ data from
Infinium
MethylationEPIC
BeadChip
(Illumina,
San
Diego, CA, USA) acquired in our previous work [40]. Characteristic of chosen loci is summarized in Table 7. These CpG dinucleotides were also chosen so that they
are within CCGG sequence to enable their cutting by
MSRE. Bisulfite Conversion DNA (500 ng) was treated with bisulfite using EZ DNA
Methylation-Lightning Kit (Zymo Research). For MS-
HRM and qMSP experiments, the concentration of BS
converted DNA was measured by NanoDrop™One/OneC
Microvolume UV-Vis Spectrophotometer (Thermo Fisher
Scientific, Waltham, MA, USA) and then adjusted to
10 ng·μl−1. Overall Methods Comparison Another issue was to find a suitable Tann at Table 5 Costs summary of each method
Method
Total cost of
analysis [$]
Number of samples measured
Number of standards
measured
Total number of
measurements
Cost per
measurement [$]
MSRE analysis
576
10 for each locus*, Test and
Reference reaction, duplicates
2 for each locus*, duplicates
144
4
pyrosequencing
162‡
10 for each locus*
2 for each locus*
36
4.5
MS-HRM
85
10 for each locus*, duplicates
6 for each locus*, duplicates
96
0.9
qMSP
196
10 for each primer set†, duplicates
2 for each primer set†, duplicates
216
0.9
*Number of loci = 3
†Number of MSP/HRM primer sets for each locus = 3
‡price of the pyrosequencing instrument ca 45,000 $
Table 6 Overall evaluation of tested methods
Method
Base resolution
Consistency across
methylation levels
Analysis of
acquired data
Method
optimization
Time
consumption
Price
MSRE analysis
–
*
*
*
*
***
Pyrosequencing
+
***
*
*
***
**
MS-HRM
–
***
**
*/**(if needed)
*
*
qMSP
–
**
***
***
**
**
* - simple/low, ** - intermediate, *** - demanding/high Table 5 Costs summary of each method
Method
Total cost of
analysis [$]
Number of samples measured
Number of standards
measured
Total number of
measurements
Cost per
measurement [$]
MSRE analysis
576
10 for each locus*, Test and
Reference reaction, duplicates
2 for each locus*, duplicates
144
4
pyrosequencing
162‡
10 for each locus*
2 for each locus*
36
4.5
MS-HRM
85
10 for each locus*, duplicates
6 for each locus*, duplicates
96
0.9
qMSP
196
10 for each primer set†, duplicates
2 for each primer set†, duplicates
216
0.9
*Number of loci = 3
†Number of MSP/HRM primer sets for each locus = 3
‡
$ Table 5 Costs summary of each method †Number of MSP/HRM primer sets for each locus = 3
‡price of the pyrosequencing instrument ca 45,000 $ Table 6 Overall evaluation of tested methods
Method
Base resolution
Consistency across
methylation levels
Analysis of
acquired data
Method
optimization
Time
consumption
Price
MSRE analysis
–
*
*
*
*
***
Pyrosequencing
+
***
*
*
***
**
MS-HRM
–
***
**
*/**(if needed)
*
*
qMSP
–
**
***
***
**
**
* - simple/low, ** - intermediate, *** - demanding/high Table 6 Overall evaluation of tested methods Page 9 of 11 Page 9 of 11 Šestáková et al. Pyrosequencing y
q
g
BS converted DNA (10–20 ng) was first amplified using
HotStar HiFidelity Polymerase Kit (Qiagen) with final
2.5 mM MgCl2 concentration. To increase primers’ spe-
cificity and for easy gel loading, we added CoralLoad
Concentrate from PyroMark PCR kit (Qiagen) to the final
concentration of 1x. The final concentration of forward and
universal biotinylated primer was 0.2 μM. The final concen-
tration of reverse tailed primer was 0.04 μM. We used rec-
ommended PCR reaction conditions for PyroMark PCR
with 48 PCR cycles and Tann according to Table 1. Ampli-
con quality (1 μl of PCR reaction) was checked using 2%
agarose gel electrophoresis. Pyrosequencing was performed
on PyroMark Q24 instrument (Qiagen). Pyrosequencing
protocol (User Manual 01/2016) was optimized by adding Table 7 Specifications of selected CpG sites
Locus
name
BeadChip
probe ID
Cytosine location (hg 19)
Beta value for
all samples
measured with
BeadChip
Chromosome
Position
M
cg24337108
10
11,797,422
> 0.99
IM
cg25722983
1
36,840,028
from 0.45 to 0.55
U
cg09655782
4
57,333,859
< 0.1
M methylated locus, IM intermediately methylated locus, U unmethylated
locus, BeadChip Infinium MethylationEPIC BeadChip (Illumina), Beta value
corresponds to methylation percentage Šestáková et al. Biological Procedures Online (2019) 21:19 Page 10 of 11 Fig. 3 Positions of primer pairs, CpGs and restriction sites within studied regions. CpGs are shown as red and yellow bars on a line representing
the DNA sequence. The red CpG is the one originally chosen from Infinium MethylationEPIC BeadChip. The scissors indicate sites that are cut by
MSREs. The lighter blue primers were used for initial pyrosequencing PCR and the darker blue primers represent the sequencing primers. The
patterned light green HRM primers were designed with a CpG on its 5’end (M/U Wojdacz primers) Fig. 3 Positions of primer pairs, CpGs and restriction sites within studied regions. CpGs are shown as red and yellow bars on a line representing
the DNA sequence. The red CpG is the one originally chosen from Infinium MethylationEPIC BeadChip. The scissors indicate sites that are cut by
MSREs. The lighter blue primers were used for initial pyrosequencing PCR and the darker blue primers represent the sequencing primers. The
patterned light green HRM primers were designed with a CpG on its 5’end (M/U Wojdacz primers) Green PCR Kit (Qiagen). The final concentration of
primers was 0.5 μM. We kept recommended cycling con-
ditions with 40 cycles and Tann according to Table 1. Additional files Additional file 1: Correlation coefficients for AUC-based MS-HRM
calibration curves and counted methylation levels. (DOCX 14 kb)
Additional file 2: qMSP methylation results calculated using the
relative expression ration. (DOCX 12 kb) Additional file 1: Correlation coefficients for AUC-based MS-HRM
calibration curves and counted methylation levels. (DOCX 14 kb) Pyrosequencing In
one run, all samples together with methylated and
unmethylated DNA standards were amplified with meth-
ylated MSP, unmethylated MSP and HRM primers. For
each primer set, the amplification efficiency was calculated
according to Dorak et al. [42]. We performed qPCR with
four dilutions of BS converted DNA of one sample and
plotted decadic logarithm of the dilutions against acquired
Cts. The efficiency was then calculated from the slope of
the calibration curve as follows: E ¼ ½10ð−1
slopeÞ−1 ∙100. All
measurements were done using StepOnePlus Real-Time
PCR System (Thermo Fisher Scientific). Methylation levels
were calculated using all three approaches reviewed in
Husseiny et al. [36]. 2 μl of sepharose-coated Streptavidin beads (step 5.3.3.2)
and by prolonging the agitation step to 20 min (step
5.3.3.6). MS-HRM Analysis We prepared 100, 75, 50, 25, 10 and 0% methylated stan-
dards by mixing BS converted DNA methylated and
unmethylated standards. 15 ng of BS converted samples
and standards were processed using EpiTect HRM PCR
Kit (Qiagen). Reaction conditions were set according to
manufacturer’s protocol. The amount of reagents was ad-
justed to 20 μl final volume. The final concentration of
primers was 0.375 μM. The experiment was performed on
Rotor-Gene Q 2plex HRM Platform (Qiagen). For the
HRM analysis, the ramping was set from 67.1 to 82.2 °C,
rising by 0.1 °C/2 s. Raw data were processed using web-
based tool uAnalyze [41]. In the software, we performed
baseline normalization and
calculated the difference
curves for all standards and samples using the 0% methyl-
ated standard as a reference curve. Calibration curves
were then plotted in Microsoft Excel according to Tse
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Red Squirrel Middens Influence Abundance but Not Diversity of Other Vertebrates
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RESEARCH ARTICLE Red Squirrel Middens Influence Abundance
but Not Diversity of Other Vertebrates Erin E. Posthumus*, John L. Koprowski, Robert J. Steidl Erin E. Posthumus*, John L. Koprowski, Robert J. Steidl
Wildlife and Fisheries Science, School of Natural Resources and the Environment, University of Arizona,
Tucson, Arizona, United States of America Erin E. Posthumus*, John L. Koprowski, Robert J. Steidl
Wildlife and Fisheries Science, School of Natural Resources and the Environment, University of Arizona,
Tucson, Arizona, United States of America Wildlife and Fisheries Science, School of Natural Resources and the Environment, University of Arizona,
Tucson, Arizona, United States of America Wildlife and Fisheries Science, School of Natural Resources and the Environment, University of Arizona,
Tucson, Arizona, United States of America * eposthum@email.arizona.edu OPEN ACCESS Citation: Posthumus EE, Koprowski JL, Steidl RJ
(2015) Red Squirrel Middens Influence Abundance
but Not Diversity of Other Vertebrates. PLoS ONE
10(4): e0123633. doi:10.1371/journal.pone.0123633 Academic Editor: Tim A. Mousseau, University of
South Carolina, UNITED STATES
Received: December 18, 2014
Accepted: February 27, 2015
Published: April 29, 2015
Copyright: © 2015 Posthumus 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. Academic Editor: Tim A. Mousseau, University of
South Carolina, UNITED STATES
Received: December 18, 2014
Accepted: February 27, 2015
Published: April 29, 2015
Copyright: © 2015 Posthumus 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. Academic Editor: Tim A. Mousseau, University of
South Carolina, UNITED STATES Academic Editor: Tim A. Mousseau, University of
South Carolina, UNITED STATES
Received: December 18, 2014
Accepted: February 27, 2015
Published: April 29, 2015 Received: December 18, 2014
Accepted: February 27, 2015
Published: April 29, 2015 Copyright: © 2015 Posthumus 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. Locality data for the federally endangered Mt Graham
red squirrel cannot be made publicly available. The
Mount Graham red squirrel (Tamiasciurus hudsonicus
grahamensis) was listed in 1982 as a federally
endangered species under the United States
Endangered Species Act of 1973. We are unable to
disclose locality data that will pinpoint the nesting
locations of this species. Our Supporting Information
Dataset includes unique identifiers for each midden
location, but we do not disclose latitudinal and
longitudinal coordinates. These location data may not Abstract Some animals modify the environment in ways that can influence the resources available
to other species. Because red squirrels (Tamiasciurus hudsonicus) create large piles of
conifer-cone debris (middens) in which they store cones, squirrels concentrate resources
that might affect biodiversity locally. To determine whether other animals are attracted to
midden sites beyond their affinity for the same resources that attract red squirrels, we as-
sessed associations between middens, mammals, and birds at population and community
levels. We surveyed 75 middens where residency rates of red squirrels varied during the
previous five years; sampling along this residency gradient permitted us to evaluate the in-
fluence of resources at middens beyond the influence of a resident squirrel. At each loca-
tion, we quantified vegetation, landscape structure, abundance of conifer cones, and
midden structure, and used capture–recapture, distance sampling, and remote cameras to
quantify presence, abundance, and species richness of mammals and birds. Red squirrels
and the resources they concentrated at middens influenced mammals and birds at the pop-
ulation scale and to a lesser extent at the community scale. At middens with higher residen-
cy rates of red squirrels, richness of medium and large mammals increased markedly and
species richness of birds increased slightly. After accounting for local forest characteristics,
however, only species richness of medium-to-large mammals was associated with a red
squirrel being resident during surveys. In areas where red squirrels were resident during
surveys or in areas with greater amounts of resources concentrated by red squirrels, abun-
dances of two of four small mammal species and two of four bird species increased. We
conclude that the presence of this ecosystem modifier and the resources it concentrates in-
fluence abundance of some mammals and birds, which may have implications for maintain-
ing biodiversity across the wide geographic range inhabited by red squirrels and other
larderhoarding animals. Examples include beaver, which alter hydrology and productivity by building
dams and through their feeding activities [7], prairie dogs, which alter soil structure and vege-
tation composition through burrowing and feeding [8], badgers (Taxidea taxus), which create
mounds that maintain diversity of prairie flora [13], and woodrats (Neotoma spp.), which alter
rates of nitrogen mineralization in soils and that build nests with a unique microclimate used
by other animals [14]. Competing Interests: The authors have declared
that no competing interests exist. Competing Interests: The authors have declared
that no competing interests exist. Some species also alter the distribution of resources, concentrating resources for themselves
and in ways that could increase the availability of resources for other species [15]. Handling
and storage of food by animals for later use, termed larderhoarding, enables animals to satisfy
energy requirements when resource abundance fluctuates [15]. Red squirrels (Tamiasciurus
hudsonicus), a territorial tree squirrel distributed throughout most coniferous forests of the
United States and Canada [16], often larderhoard food supplies that last for years [15, 17]. Red
squirrels fulfill a number of important ecosystem functions, including dispersing seeds, serving
as prey for predators, and creating structure via conspicuous cone-scale piles, known as mid-
dens, which are a product of feeding in a single location (Fig 1) [16]. Middens are central to a
single red squirrel’s well-defended territory [16], which can vary from 1 to >10 ha [18]. In the
southwestern United States, middens are typically located in forest patches with locally dense
canopies, high stem densities, thick foliage, and on cooler north-facing slopes [19–20], and
have a cool, moist microclimate optimal to larderhoard conifer cones and fungi [21–22]. Mid-
dens often are used over multiple generations [17] and can reach 13 m in diameter and 50 cm
in depth [23]. The structure of middens facilitates tunneling, nesting, and access to thousands
of stored cones, plus seeds dropped during feeding are distributed throughout a red squirrel’s
territory [24]. These resources may attract small mammals and birds, which may in turn attract
other predatory mammals and birds [25–26]. Positive associations with middens have been reported for marten (Martes americana) that
use subnivean tunnels more often when they are near middens [27], and grizzly bears (Ursus
arctos horribilis) that excavate middens to obtain seeds of whitebark pine (Pinus albicaulis)
[28]. Influence of Red Squirrel Middens on Abundance of Vertebrates function adversely [4], earning them the moniker of keystone species [5]. Although the utility of
the keystone-species concept has been debated, evaluating the interaction strength of particular
species can increase our understanding of factors that govern ecological processes [1, 6]. A suite of mammals that vary widely both taxonomically and functionally have been
hypothesized to function in these ecologically important ways, including beaver (Castor cana-
densis) [7], prairie dogs (Cynomys spp.) [8], kangaroo rats (Dipodomys spp.) [9], sea otters
(Enhydra lutris) [10], and bison (Bison bison) [11]. Species that redistribute resources or create
structures on a large scale have been further classified as keystone modifiers [6] or ecosystem
engineers [12]. Examples include beaver, which alter hydrology and productivity by building
dams and through their feeding activities [7], prairie dogs, which alter soil structure and vege-
tation composition through burrowing and feeding [8], badgers (Taxidea taxus), which create
mounds that maintain diversity of prairie flora [13], and woodrats (Neotoma spp.), which alter
rates of nitrogen mineralization in soils and that build nests with a unique microclimate used
by other animals [14]. function adversely [4], earning them the moniker of keystone species [5]. Although the utility of
the keystone-species concept has been debated, evaluating the interaction strength of particular
species can increase our understanding of factors that govern ecological processes [1, 6]. be requested. John Koprowski, squirrel@ag.arizona. edu, may be contacted with any questions. be requested. John Koprowski, squirrel@ag.arizona. edu, may be contacted with any questions. Funding: This work was supported by the United
States Forest Service Rocky Mountain Research
Station, #10-JV-188 (University of Arizona; www.fs. fed.us/rmrs); T&E Incorporated’s Grants for
Conservation Research (www.tandeinc.com); and the
American Society of Mammalogists’ Grants-in-Aid
Program (http://www.mammalsociety.org/committees/
grants-aid). The funders had no role in study design,
data collection and analysis, decision to publish, or
preparation of the manuscript. A suite of mammals that vary widely both taxonomically and functionally have been
hypothesized to function in these ecologically important ways, including beaver (Castor cana-
densis) [7], prairie dogs (Cynomys spp.) [8], kangaroo rats (Dipodomys spp.) [9], sea otters
(Enhydra lutris) [10], and bison (Bison bison) [11]. Species that redistribute resources or create
structures on a large scale have been further classified as keystone modifiers [6] or ecosystem
engineers [12]. Introduction Certain species influence ecosystems disproportionally [1–2] or perform unique ecological func-
tions [3]. If extirpated, the loss of these species could influence species diversity and ecosystem 1 / 14 PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 Richness and abundance of mammals and birds has been observed to be higher at mid-
dens than in surrounding forest [25–26]. Although species richness of vertebrates may be higher at middens, this might be an artifact
of species selecting forest features that are coincident with those used by red squirrels [26] rath-
er than species leveraging resources concentrated by red squirrels. Red squirrels select sites
with high canopy cover, large cone-bearing trees [19–20], and coarse woody debris [26], fea-
tures likely important to many other species. For example, deer mice (Peromyscus spp.), chip-
munks (Tamias spp.), voles (Microtus spp.), and woodrats consume conifer seeds [29] and den
in coarse woody debris [30–31]. Insectivores, such as shrews (Soricidae), may be attracted to
the abundant insects supported by conifer seeds and in moist conditions; flying squirrels
(Glaucomys spp.) and voles may target woody debris that is conducive to growth of fungi [32]. To determine whether animals are attracted to middens beyond their affinity for resources
similar to those selected by red squirrels, we assessed associations between middens, mammals,
and birds at population and community scales across a gradient of residency rates by squirrels PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 2 / 14 Influence of Red Squirrel Middens on Abundance of Vertebrates Fig 1. Red squirrel (Tamiasciurus hudsonicus) midden. Photographs of (a) red squirrel (Tamiasciurus hudsonicus) midden cone-scale pile, (b) cached
cones inside pit excavated by red squirrel, and (c) stored cones, which may number in the thousands at a single midden. Photo credit, E. E. Posthumus. Mt. Graham, Graham Co. Arizona, 2011–2012. Fig 1. Red squirrel (Tamiasciurus hudsonicus) midden. Photographs of (a) red squirrel (Tamiasciurus hudsonicus) midden cone-scale pile, (b) cached
cones inside pit excavated by red squirrel, and (c) stored cones, which may number in the thousands at a single midden. Photo credit, E. E. Posthumus. Mt. Graham, Graham Co. Arizona, 2011–2012. doi:10.1371/journal.pone.0123633.g001 during the previous five years. Our objective was to determine if red squirrels or the resources
they concentrate influence populations and communities of vertebrates. If the presence of mid-
dens influences other species, we anticipate that richness and abundance of mammals and
birds will be higher at locations with higher residency rates and will be associated positively
with the presence of red squirrels at middens and abundance of the resources they concentrate. during the previous five years. Our objective was to determine if red squirrels or the resources
they concentrate influence populations and communities of vertebrates. If the presence of mid-
dens influences other species, we anticipate that richness and abundance of mammals and
birds will be higher at locations with higher residency rates and will be associated positively
with the presence of red squirrels at middens and abundance of the resources they concentrate. Resources Concentrated by Red Squirrels We recorded whether a red squirrel was resident at each location between May and September
of each year (red squirrel residency during surveys), and measured area and depth of cone-
scale piles at each midden. We ranked the number of cones cached in each scale pile from 1–4
to reflect 1–25, 26–50, 51–75, and >75 cones, respectively, and used the highest value observed
in either September or December of the previous year to approximate cone availability. Habitat Features We surveyed vegetation along 2-m wide and 30-m long transects that radiated from the center
of each location in four cardinal directions (total area surveyed = 0.02 ha/location). We used a
spherical densiometer to estimate canopy closure [34] and averaged readings taken 0, 2, 10, 20,
and 30 m from center of each location in each direction. We counted the number of live and
dead trees in three size classes (<20 cm, 20–40 cm, >40 cm dbh), measured diameter at breast
height (dbh), and calculated basal area/ha for all live and dead trees. We recorded the number
of live trees of each species and calculated diversity at each location with the Shannon-Weiner
index. We measured volume of hard downed logs >20 cm in diameter and slope and aspect in
absolute degrees from the center of each location. Materials and Methods Field efforts were conducted under permits from the United States Department of Agriculture
Forest Service, Arizona Game and Fish Department, and United States Fish and Wildlife 3 / 14 PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 Influence of Red Squirrel Middens on Abundance of Vertebrates Service, and approved by the University of Arizona Institutional Animal Care and Use Com-
mittee (IACUC; Protocol #11–248). We studied a 100-ha area of mixed-conifer forest at an ele-
vation of 2,870 to 3,050 m in the Pinaleño Mountains, 25 km southwest of Safford, Graham
Co., Arizona. The forest is dominated by Douglas-fir (Pseudotsuga menziesii), white fir (Abies
concolor), and southwestern white pine (Pinus strobiformis), interspersed with cork-bark fir
(Abies lasiocarpa var. arizonica), Engelmann spruce (Picea engelmanii), aspen (Populus tremu-
loides) and ponderosa pine (Pinus ponderosa) [33]. Middens in this area have been surveyed
for red squirrels every three months since 1996 [33] because endemic Mt. Graham red squirrels
(red squirrel; T. h. grahamensis) are listed as endangered in the United States. In 2011, we classified 176 locations based on residency rates of red squirrels during the previ-
ous five years, which we defined as the proportion of quarterly surveys where a red squirrel was
observed at each midden. Surveys involved visiting middens to determine if each was inhabited
based on signs of red squirrel activity (tracks, feeding sign, nesting material) [33]. Because red
squirrels are highly territorial and solitary, when middens are inhabited, they are usually de-
fended aggressively by the resident adult [33]. From this set of midden locations, we selected 50
in both 2011 and 2012, 10 at random from each of five residency rate classes to capture the en-
tire gradient: 0% residency since 1996, 0% residency since 2011, 1–49% and without a resident
red squirrel for at least one year prior to the study, 50–75% residency, and > 75% residency. Fif-
teen locations were included in both 2011 and 2012 samples, which we treated as independent
across years. Distance between locations averaged 75 m (min = 30 m, max = 150 m). Data Analysis We used logistic regression for binomial counts (number of quarterly surveys where a red
squirrel was present relative to the total number of quarterly surveys done at each site) to ex-
plore relationships between residency rates and habitat features. We used linear regression to
explore relationships between residency rates and species richness of small mammals, medium
and large mammals, and birds, and added quadratic and cubic components successively until
they were no longer significant (P > 0.10) when relationships were curvilinear [40]. To reduce
dimensionality among the seven habitat features we measured, we used principal components
analysis based on the correlation matrix after first transforming basal area, number of large
trees > 40 cm dbh, number of large snags > 40 cm dbh, volume of downed logs, and slope
with the natural log and by squaring canopy cover to normalize their distributions. To test
whether species richness was associated with a red squirrel being resident during surveys or the
resources concentrated by red squirrels after accounting for forest characteristics, we first used
Poisson regression to model richness of small mammals, medium and large mammals com-
bined, and birds separately as a function of habitat features as described by the first three prin-
cipal components. We retained influential components (P < 0.10), then fit a second model to
describe the influence of red squirrels that included red squirrel residency during surveys, vol-
ume of the cone-scale pile, and index of cached cones. We then used a drop-in-deviance test to
contrast the amount of variation in the response explained by the two models and to determine
the influence of red squirrels on each response after accounting for habitat features [41]. For all mammal and bird species observed, we used logistic regression to model presence of
each species at each location and as a function of residency rates of red squirrels. For the two
mammal species captured at > 90% of sites, deer mice (Peromyscus maniculatus) and cliff chip-
munks (Tamias dorsalis), we created hierarchical models of abundance based on a capture-
recapture framework with the R package ‘unmarked’ [42]. Influence of Red Squirrel Middens on Abundance of Vertebrates individuals captured to species, and weighed, measured [36], and marked each individual with
ear tags (Monel #1005–1, National Band and Tag Company, Newport, KY), before releasing
animals at the capture location. Handling methods followed American Society of Mammalo-
gists [37] and University of Arizona IACUC guidelines. We surveyed medium and large mammals at all locations with remote cameras (Bushnell
Trophy Cam 119436c, TrailCamPro, Springfield, MO) [25]. We set three cameras 5–10 m
from and facing the center of each survey location and located 1–2 m above the ground for a
six-day period in each year established at random between May and September. We set cam-
eras at maximum sensitivity to record one photo upon detection, with a 3-sec delay between
photographs. We identified animals in photographs to species and counted the number of spe-
cies detected over the six-day period for each location. We surveyed birds from each location with 10-min point counts on four consecutive morn-
ings (0500–0900 h) concurrent with small mammal trapping [38]. We detected birds by sight
and sound and classified distances from the observer as 0–10 m, 11–20 m, 21–30 m, 31–50 m,
and 51–100 m, truncating detections at 100 m to include only those birds proximate to mid-
dens. We considered only species that were ground foragers to target species that search for
seeds or insects on the ground [39]. PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 Composition of Mammal and Bird Communities We surveyed small mammals at all locations using a trapping-web design centered on each lo-
cation [35]. Webs were comprised of eight, 30-m lines radiating at 45° angles from the center
of the location. Along each line, we set one folding, galvanized Sherman live trap (7.5 by 9 by
23 cm: Model LFG, H.B. Sherman Trap Co., Tallahassee, FL) at 10, 20, and 30 m from the cen-
ter of each location, four traps at 2 m in each cardinal direction, and one trap at the center for a
total of 29 traps per location. For one four-night period at each location per year between May
and September, we baited traps at sunset with a mix of peanut butter, rolled oats, and alfalfa
pellets, checked traps at sunrise, and reset and checked again mid-morning. We identified PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 4 / 14 Influence of Red Squirrel Middens on Abundance of Vertebrates during surveys or the resources concentrated by red squirrels after accounting for habitat fea-
tures, we fit two models using a process similar to the one we described for species richness. For all ground-foraging bird species, including American robin (Turdus migratorius), her-
mit thrush (Catharus guttatus), Stellar’s jay (Cyanocitta stelleri), and yellow-eyed junco (Junco
phaeonotus), we created hierarchical models for abundance based on a distance-sampling
framework with ‘unmarked’ [42]. We compared half normal, hazard rate, and uniform detec-
tion functions, explored a series of models for detection probability including models that var-
ied with behavior and mean low temperature and precipitation, and retained influential
covariates (P < 0.10). To determine whether abundance of each species was associated with a
red squirrel being resident during surveys or the resources concentrated by red squirrels after
accounting for vegetation features, we used a process similar to the one we described for
species richness. Habitat Features Surrounding Middens Residency rates of red squirrels increased with canopy cover (7.16 ± 0.57% [SE], χ2 = 157.02,
P < 0.001), basal area (15.57 ± 1.36 m²/ha, χ2 = 79.63, P < 0.001), number of large trees > 40
cm dbh (1.78 ± 1.11 trees/ha, χ2 = 33.02, P < 0.001), number of large snags > 40 cm dbh
(1.31 ± 1.07 snags/ha, χ2 = 16.62, P < 0.001), steeper slopes (2.65 ± 1.20°, χ2 = 28.50,
P < 0.001), more north facing slopes (-0.0016 ± 0.0010°, χ2 = 2.88, P = 0.090), and decreased
with the index of tree diversity (-0.53 ± 0.16, χ2 = 10.70, P < 0.001) and volume of downed logs
(-2.08 ± 1.19 m3, χ2 = 17.34, P < 0.001). Volume of cone-scale piles (4.75 ± 0.55 m3, t99 = 8.64,
P < 0.001) and the index of number of cached cones (2.55 ± 0.30, t99 = 8.47, P < 0.001) in-
creased as residency rates increased, indicating that resources concentrated by red squirrels
varied with residency rates (Fig 2). Most (60.7%) of the variation in the eight original habitat features was captured by the first
three principal components. The first principal component (25.4% of variation) described as-
pects of forest density, with high loadings on percent canopy cover (factor weight = 0.81),
north facing slopes (0.72), number of live trees >40 cm dbh (0.62), and low tree diversity
(0.51). The second principal component (19.4%) described aspects of tree structure, with high
loadings on number of large snags >40 cm dbh (0.83) and basal area (0.66). Lastly, the third
principal component (15.8%) described aspects of the forest floor, including volume of downed
logs (0.89) and flatness of slopes (0.58). Residency rates were associated with the first
(r = 0.257, P = 0.010), second (r = 0.195, P = 0.053) and third principal component (r = 0.192,
P = 0.055). Data Analysis To model the detection process, we
assumed a behavioral response to trapping (Mb, based on our preliminary modeling) and
explored the influence of mean low daily temperature and mean daily precipitation for each
four-day trapping period (National Wildfire Coordinating Group 2012, from a weather station
within our study area) and retained influential covariates (P < 0.10). To determine whether
abundance of P. maniculatus and T. dorsalis was associated with a red squirrel being resident PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 5 / 14 PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 doi:10.1371/journal.pone.0123633.g002 Influence of Resources Concentrated by Red Squirrels on Vertebrates We captured six species of small mammals during 11,600 trap nights (Table 1). Species rich-
ness of small mammals was not associated with residency rate of red squirrels (t99 = 0.94,
P = 0.350, r² = 0.009). After accounting for habitat features, species richness of small mammals
was not influenced by a red squirrel being resident during surveys or resources concentrated by
red squirrels (Tables 2 and 3). We observed 8 species of medium and large mammals in 1722
camera days in addition to red squirrels (Table 1). Species richness of medium and large mam-
mals increased as residency rates of red squirrels increased (0.98 ± 0.32 species, t99 = 3.34,
P = 0.001, r² = 0.102). After accounting for forest characteristics, species richness of medium
and large mammals increased when a red squirrel was resident during surveys (Tables 2 and
3). We detected 25 species of birds, including four that we classified as ground foragers
(Table 1). Species richness of birds increased slightly as residency rate of red squirrels increased 6 / 14 PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 Influence of Red Squirrel Middens on Abundance of Vertebrates Fig 2. Relationship between red squirrel residency rates and resources concentrated by red
squirrels. Relationship between resources concentrated by red squirrels, red squirrel residency during
surveys, and residency rate (proportion of quarterly surveys during the previous five years) of red squirrels at
middens, Mt. Graham, Graham Co. Arizona, 2011–2012. doi:10.1371/journal.pone.0123633.g002 Fig 2. Relationship between red squirrel residency rates and resources concentrated by red
squirrels. Relationship between resources concentrated by red squirrels, red squirrel residency during
surveys, and residency rate (proportion of quarterly surveys during the previous five years) of red squirrels at
middens, Mt. Graham, Graham Co. Arizona, 2011–2012. doi:10.1371/journal.pone.0123633.g002 (1.29 ± 0.77 species, t99 = 1.65, P = 0.101, r² = 0.027). After accounting for habitat features, spe-
cies richness of birds was not influenced by a red squirrel being resident during surveys or re-
sources concentrated by red squirrels (Table 2), but did increase with forest density (Table 3). After accounting for forest characteristics, abundance of P. maniculatus was lower in loca-
tions with a red squirrel resident during surveys (-0.36 ± 0.12 individuals) and increased as the
number of cached cones increased (0.08 ± 0.03 individuals/cone index unit; Tables 2 and 4). Detection probability of P. PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 Influence of Red Squirrel Middens on Abundance of Vertebrates Table 1. Proportion of sites surveyed at which mammals and birds were observed. Proportion of sites
Residency
Group
Species
χ2
P
Small mammals
Microtus longicaudus
0.32
0.01
0.929
Neotoma mexicana
0.59
0.60
0.439
Peromyscus boylii
0.07
1.82
0.178
Peromyscus maniculatus
1.00
Sorex monticolus
0.40
1.59
0.207
Tamias dorsalis
0.94
1.75
0.186
Medium and large mammals
Lynx rufus
0.12
5.61
0.018
Mephitis mephitis
0.26
0.02
0.903
Odocoileus virginianus
0.09
1.62
0.202
Otospermophilus variegatus
0.53
0.01
0.926
Puma concolor
0.02
0.44
0.506
Sciurus aberti
0.09
0.06
0.802
Urocyon cinereoargenteus
0.04
1.37
0.241
Ursus americanus
0.26
4.22
0.040
Ground-foraging birds
Catharus guttatus
0.74
0.00
0.989
Cyanocitta stelleri
0.19
2.73
0.098
Junco phaeonotus
0.86
0.46
0.498
Turdus migratorius
0.34
0.15
0.695
Chi-square and P-values from logistic regression models comparing proportion of sites surveyed at which mammal and bird species were observed
across the gradient of residency rates for red squirrels (n = 100). Table 1. Proportion of sites surveyed at which mammals and birds were observed. Table 1. Proportion of sites surveyed at which mammals and birds were observed. Influence of Resources Concentrated by Red Squirrels on Vertebrates maniculatus changed in response to initial capture and with precipi-
tation (Table 4). After accounting for forest characteristics, abundance of T. dorsalis was lower
i l
i
i h
d
i
l
id
d
i
( 0 74
0 17 i di id
l )
d i
d (1.29 ± 0.77 species, t99 = 1.65, P = 0.101, r² = 0.027). After accounting for habitat features, spe-
cies richness of birds was not influenced by a red squirrel being resident during surveys or re-
sources concentrated by red squirrels (Table 2), but did increase with forest density (Table 3). After accounting for forest characteristics, abundance of P. maniculatus was lower in loca-
tions with a red squirrel resident during surveys (-0.36 ± 0.12 individuals) and increased as the
number of cached cones increased (0.08 ± 0.03 individuals/cone index unit; Tables 2 and 4). Detection probability of P. maniculatus changed in response to initial capture and with precipi-
tation (Table 4). After accounting for forest characteristics, abundance of T. dorsalis was lower
in locations with a red squirrel resident during surveys (-0.74 ± 0.17 individuals), and increased
as the number of cached cones increased (0.11 ± 0.04 individuals/cone-index unit; Tables 2
and 4). Detection probability of T. dorsalis changed with precipitation (Table 4). After accounting for habitat features, abundance of C. guttatus was higher in locations with
a red squirrel resident during surveys (0.66 ± 0.26 individuals; Tables 2 and 4). Abundances of
C. stelleri and J. phaeonotus were not influenced by a red squirrel being resident during surveys
or resources concentrated by red squirrels (Tables 2 and 4). Abundance of T. migratorius was
higher in locations where a red squirrel was resident during survey (1.19 ± 0.47 individuals/
cone-index unit) and lower at locations with larger cone scale piles (-0.48 ± 0.19 m3; Tables 2
and 4). Detection probability of C. stelleri was influenced by low temperature and detection
of T. migratorius was influenced by precipitation (Table 4). For C. guttatus, C. stelleri, and
T. migratorius, a hazard-rate detection function fit best, whereas for J. phaeonotus, a half-
normal detection function fit best. 7 / 14 PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 Group Chi-square and P-values from logistic regression models comparing proportion of sites surveyed at which mammal and bird species were observed
across the gradient of residency rates for red squirrels (n = 100). doi:10.1371/journal.pone.0123633.t001 doi:10.1371/journal.pone.0123633.t002 Effects of red squirrels on vertebrate communities Although species classified as keystone modifiers often are thought to explain changes in com-
munity-scale attributes, such as species diversity [43], we found that the largest effects of red Table 2. Estimates ± standard errors and test statistics with associated P-values from models of species richness and abundance contrasting
sites where red squirrel were and were not resident during surveys. R d
i
l Table 2. Estimates ± standard errors and test statistics with associated P-values from models of species richness and abundance contrasting
sites where red squirrel were and were not resident during surveys. Red squirrel
Metric
Group
Resident
Not Resident
χ2
P
Richness
Small mammals
3.40 ± 0.17
3.28 ± 0.12
0.38
0.944
Medium and large mammals
2.60 ± 0.26
1.35 ± 0.11
14.96
0.002
Birds
7.90 ± 0.67
6.78 ± 0.30
2.52
0.471
Abundance
Peromyscus maniculatus
17.32 ± 4.11
24.8 ± 5.36
11.43
0.010
Tamias dorsalis
7.02 ± 1.78
14.68 ± 1.78
18.79
< 0.001
Catharus guttatus
4.63 ± 1.04
2.39 ± 0.33
8.45
0.038
Cyanocitta stelleri
0.30 ± 0.20
0.40 ± 0.14
1.43
0.698
Junco phaeonotus
49.05 ± 9.99
55.98 ± 5.68
3.31
0.346
Turdus migratorius
4.34 ± 1.58
1.32 ± 0.29
10.13
0.017
Species richness of three taxonomic groups and abundance of two small mammal and four bird species in areas with and without a red squirrel resident
during surveys. Chi-squared statistics and P-value (all with degrees of freedom = 3) are from drop-in-deviance tests comparing models with and without a
resident red squirrel. s and test statistics with associated P-values from models of species richness and abundance contrasting
ere not resident during surveys. Table 2. Estimates ± standard errors and test statistics with associated P-values from models of species richness and abundance contrasting
sites where red squirrel were and were not resident during surveys. Table 2. Estimates ± standard errors and test statistics with associated P-values from models of species ric
sites where red squirrel were and were not resident during surveys. Species richness of three taxonomic groups and abundance of two small mammal and four bird species in areas with and without a red squirrel resident
during surveys. Chi-squared statistics and P-value (all with degrees of freedom = 3) are from drop-in-deviance tests comparing models with and without a
resident red squirrel. Influence of Red Squirrel Middens on Abundance of Vertebrates Table 3. Parameter estimates, standard errors, and P-values from models assessing the importance of a red squirrel being resident and resources
concentrated by red squirrels during surveys to species richness of mammals and birds. Group
Parameter
Estimate
SE
P
Small mammals
Intercept
1.17
0.07
< 0.001
Squirrel resident during surveys
-0.01
0.19
0.952
Volume of cone-scale pile (m3)
< 0.01
0.03
0.951
Index of cached cones
0.02
0.05
0.286
Medium and large mammals
Intercept
0.26
0.10
0.013
Squirrel resident during surveys
0.49
0.34
0.043
Volume of cone-scale pile (m3)
0.03
0.03
0.330
Index of cached cones
0.02
0.06
0.797
Birds
Intercept
1.92
0.05
< 0.001
Forest density
0.14
0.04
< 0.001
Tree structure
0.05
0.05
0.164
Squirrel resident during surveys
0.12
0.12
0.324
Volume of cone-scale pile (m3)
-0.02
0.02
0.300
Index of cached cones
0.03
0.03
0.428
Variables without units are either indicator variables or were standardized for analysis. doi:10.1371/journal.pone.0123633.t003 Table 3. Parameter estimates, standard errors, and P-values from models assessing the importance of a red squirrel being resident and resources
concentrated by red squirrels during surveys to species richness of mammals and birds. doi:10.1371/journal.pone.0123633.t003 squirrels on vertebrates was at the population scale. Importantly, changes in species diversity
attributed to keystone species are rarely disentangled from overlapping habitat preferences
shared by other species. After accounting for the influence of vegetation and landscape charac-
teristics, a red squirrel being resident during surveys and resources concentrated by red squir-
rels explained little of the variation in species richness for small mammals and birds. However,
we observed an increase in species richness of medium and large mammals, principally meso-
carnivores and predators, as residency rates of red squirrel middens increased, suggesting
heightened activity of animals at red squirrel middens. After removing the effects of vegetation
and landscape characteristics, species richness of medium and large mammals increased at lo-
cations where a red squirrel was resident during survey. Bobcats may be attracted to middens
due to increased prey [44] and black bears excavate middens in search of cones [45]. Mammals
may also use middens for thermoregulatory properties, as marten use middens as resting sites
in winter [46]. Species richness of birds varied with local habitat features, but was not influenced positively
by a red squirrel being resident during surveys or resources concentrated by red squirrel. Metric Species richness of three taxonomic groups and abundance of two small mammal and four bird species in areas with and without a red squirrel resident
during surveys. Chi-squared statistics and P-value (all with degrees of freedom = 3) are from drop-in-deviance tests comparing models with and without a
resident red squirrel. PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 8 / 14 PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 Mid-
dens with high residency rates had high canopy cover and basal area, and squirrels likely select
and persist at these sites for protection from avian predators [44], presence of large amounts of
cone-bearing trees [47], and moderate temperatures with higher humidity that aid thermoreg-
ulation [17] and cone storage [24]. Similarly, areas where the forest canopy is closed likely pro-
vide protection from predators, a moderate microclimate, and nesting locations for a variety of
species [48–49]. However, as documented in our photographs, avian ground foragers used the
surface of the cone-scale pile at locations where a red squirrel was resident during surveys, per-
haps to forage for seeds or insects [39]. We recommend further study on the abundance and
diversity of arthropods in cone-scale piles to understand whether middens are a hotspot for ar-
thropod diversity as found at structures created by other keystone modifiers such as packrats
and kangaroo rats [9,14]. PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 9 / 14 Influence of Red Squirrel Middens on Abundance of Vertebrates Table 4. Parameter estimates from models assessing the importance of resources concentrated by red squirrels and a red squirrel being resident
during surveys to abundance of mammals and birds. Group
Process
Parameter
Estimate
SE
P
Peromyscus maniculatus
Abundance
Intercept
3.14
0.22
< 0.001
Tree structure
0.06
0.04
0.120
Forest floor
0.16
0.04
< 0.001
Squirrel resident during surveys
-0.36
0.12
0.002
Volume of cone-scale pile (m3)
0.01
0.02
0.546
Cached cone index
0.08
0.03
0.011
Detection
Initial capture probability
-2.07
0.29
< 0.001
Recapture probability
-1.31
0.07
< 0.001
Precipitation (mm)
-17.24
7.21
0.017
Tamias dorsalis
Abundance
Intercept
2.37
0.17
< 0.001
Forest density
0.17
0.06
0.006
Midden
0.23
0.16
0.144
Squirrel resident during surveys
-0.74
0.17
< 0.001
Volume of cone-scale pile (m3)
0.04
0.03
0.137
Cached cone index
0.11
0.04
0.013
Detection
Intercept
-2.46
0.14
< 0.001
Precipitation (mm)
0.90
0.36
0.014
Catharus guttatus
Abundance
Intercept
0.87
0.14
< 0.001
Forest density
0.17
0.09
0.052
Squirrel resident during surveys
0.66
0.26
0.010
Volume of cone-scale pile (m3)
-0.12
0.11
0.257
Index of cached cones
0.00
0.07
0.996
Detection
Intercept
4.21
0.65
< 0.001
Scale
2.00
6.99
0.775
Cyanocitta stelleri
Abundance
Intercept
-0.97
0.37
0.009
Tree structure
0.81
0.30
0.007
Squirrel resident during surveys
-0.28
0.70
0.689
Volume of cone-scale pile (m3)
0.27
0.32
0.385
Index of cached cones
0.06
0.19
0.749
Detection
Intercept
4.08
0.35
< 0.001
Low temperature
-0.10
0.08
0.196
Scale
3.90
26.4
0.882
Junco phaeonotus
Abundance
Intercept
4.06
0.10
0.000
Squirrel resident during surveys
-0.13
0.22
0.555
Volume of cone-scale pile (m3)
-0.02
0.08
0.853
Index of cached cones
-0.05
0.06
0.405
Detection
Intercept
2.72
0.03
0.000
Turdus migratorius
Abundance
Intercept
0.36
0.21
0.081
Squirrel resident during surveys
1.19
0.47
0.011
Volume of cone-scale pile (m3)
-0.48
0.19
0.011
Index of cached cones
-0.12
0.13
0.341
Detection
Intercept
3.99
0.10
0.000
Precipitation (mm)
-3.78
1.57
0.016
Scale
2.10
0.64
0.001
Parameter estimates and standard errors for models of abundance of mammals observed at > 90% of sites and ground foraging birds. Variables without
units are either indicator variables or were standardized for analysis. assessing the importance of resources concentrated by red squirrels and a red squirrel being resident
and birds Parameter estimates and standard errors for models of abundance of mammals observed at > 90% of sites and ground foraging birds. Conclusions By producing a midden, red squirrels modify the distribution of resources and influence local
forest structure and microclimate in ways that can persist for decades when occupied serially
by residents [24, 33]. Although red squirrel middens support higher levels of vertebrate diversi-
ty and activity, most of their effect is due to vegetation characteristics associated with sites se-
lected for construction of middens [19, 20]. Middens provide a visible structure that indicates
the availability of resources that we found to be associated with increased occurrence and abun-
dance of numerous other species. Knowledge of the important function of middens in influenc-
ing patterns in animal diversity, and potentially larderhoards of other species [15], is critical to
our understanding of ecosystem function. Although species richness did not increase directly as a result of red squirrel middens for all
taxa, our finding that red squirrels are associated with high levels of mammal and bird diversity
due to a common affinity for key forest characteristics is important. Middens serve as conspic-
uous indicators of diversity in forests. The Mt. Graham red squirrel persists at the southern-
most extent of the distribution of red squirrels [29], an area with warmer, drier forests than in
much of the rest of the species range. At the southern end of the range, forest disturbances,
such as loss of canopy cover from insect infestations or fire, which are likely to become more
frequent with climate change [4], threaten to alter midden microclimate to the detriment of
food storage [22]. With predicted global change creating warmer, drier climates, and threaten-
ing montane diversity [51], such challenges in southern forests may portend the future of forest
communities at northern latitudes. Our results suggest that although red squirrels are associated with increased species richness
their primary impact occurs at the population scale for several common species. Abundance
can be influenced through multiple pathways, including indirect facilitation as has been ob-
served in kangaroo rats [9, 52]. Although mechanisms for these processes are unknown, the in-
fluence of red squirrels on multiple dominant species within the forest suggests a subtle impact
with potential links to pathways of influence observed in many ecosystem engineers [6, 53]. Variables without
units are either indicator variables or were standardized for analysis. PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 10 / 14 Influence of Red Squirrel Middens on Abundance of Vertebrates Effects of red squirrels on species abundances Resources concentrated by red squirrels had their largest effects at the population scale for a
number of common small mammals and birds. We detected P. maniculatus at all locations and
T. dorsalis at all but six locations. These species are generalists, and their diet may include seeds
of conifers, shrubs, grasses and forbs as well as insects, snails, fungi, bones, leaves or bark [29]. Abundances of P. maniculatus and T. dorsalis were associated positively with food resources at
middens. P. maniculatus live and nest in logs and under debris piles [29], which may result in
an association of P. maniculatus with the food resources of the midden cone-scale pile. This is
supported by photographs of these species on the cone-scale pile, including images of T. dorsa-
lis holding conifer cones that may have been taken from the midden. T. dorsalis also tunnels
and creates dens and nests in many substrates [50], which may be facilitated by the microcli-
mate and structure of the cone-scale pile. Abundances of T. migratorius and C. guttatus were associated positively with a red squirrel
being resident during surveys. Ground-foraging birds were the only birds that we detected with
cameras at the cone-scale pile. The diet of these birds is composed primarily of seeds and inver-
tebrates [39], which may be higher with a resident red squirrel dropping seeds while feeding
[24], and might explain detections of these birds on the surface of the cone-scale pile. PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 Acknowledgments We thank W. M. Block, United States Department of Agriculture Forest Service and the Arizona
Agriculture Experiment Stations for supporting this research and R. W. Mannan for suggestions
and contributions throughout the project. M. Altemus, H. Chen, T. Crimmins, J. Derbridge,
K. Gerst, R. Jessen, J. Kellerman, A. Kilanowski, M. Merrick, and A. Rosemartin provided
comments on earlier drafts. S. Barnett, A. Grajal-Puche, V. Greer, M. Merrick, B. Raschke,
V. Roundtree, S. Snedecker, A. Williams and especially L. McHugh assisted in the field. M. Borgstrom provided statistical advice. Field efforts were conducted under permits graciously
provided by the United States Department of Agriculture Forest Service’s Coronado National
Forest, Arizona Game and Fish Department, and United States Fish and Wildlife Service. S1 Dataset. Data used in analyses.
(XLSX) S1 Dataset. Data used in analyses. (XLSX) S1 Dataset. Data used in analyses. (XLSX) Author Contributions Conceived and designed the experiments: EEP JLK RJS. Performed the experiments: EEP. Ana-
lyzed the data: EEP RJS. Contributed reagents/materials/analysis tools: EEP JLK. Wrote the
paper: EEP JLK RJS. Conceived and designed the experiments: EEP JLK RJS. Performed the experiments: EEP. Ana-
lyzed the data: EEP RJS. Contributed reagents/materials/analysis tools: EEP JLK. Wrote the
paper: EEP JLK RJS. Conclusions In-
creased knowledge of the interaction strength between other ecosystem modifiers or larder-
hoarders and their environments may help to inform decisions related to forest management
and restoration and offer insight on the conservation value of these species. 11 / 14 PLOS ONE | DOI:10.1371/journal.pone.0123633
April 29, 2015 Influence of Red Squirrel Middens on Abundance of Vertebrates Supporting Information S1 Dataset. Data used in analyses. (XLSX) PLOS ONE | DOI:10.1371/journal.pone.0123633
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„Z Teorii i Praktyki Dydaktycznej Języka Polskiego”
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ISSN 2353‑9577
https://doi.org/10.31261/TPDJP.2021.30.01 „Z Teorii i Praktyki Dydaktycznej Języka Polskiego”
2021, t. 30, s. 7—9
ISSN 2353‑9577
https://doi.org/10.31261/TPDJP.2021.30.01 Wstęp Nie ma ważniejszej dziedziny życia społecznego niż edukacja, zwłaszcza
dziś, gdy kryzysy natury społecznej, ekonomicznej czy klimatycznej mają cha-
rakter globalny i zagrażają utrwalonym zasadom życia społecznego. Edukacja
może oczywiście być realizowana jako misja medialna, polityczna czy społecz-
na, ale warto podkreślić, że ma ją realizować szkoła. Istnieje ona jako jedna
z wielu instytucji powołanych do kształcenia i wychowania młodego pokolenia,
co ważne organizacja i struktura szkoły, wyznaczane jej cele i zadania mają
wielki wpływ na świadomość, dojrzałość i postawy społeczeństwa. W XXX tomie czasopisma „Z Teorii i Praktyki Dydaktycznej Języka Pol-
skiego” przekonujemy o konieczności spojrzenia na zagadnienia społeczne
z perspektywy nowej humanistyki. „Nowej” — czyli jakiej? Najogólniej moż-
na by określić ją jako tę, która oświetla problemy związane z życiem wszyst-
kich istot naszej planety, humanistyki pokazującej człowieka odpowiedzialnego
za harmonijny i bezpieczny rozwój wszystkich bytów, a także rezygnującego
z jakiejkolwiek dominacji nad kim-/czymkolwiek czy kolonizacji kogo-/czego-
kolwiek. Wizja tak zarysowana niesie oczywiście w sobie pierwiastek utopii
i w refleksji humanistycznej odczytać można jej świadomość. W sytuacji jednak,
gdy zaczynamy zdawać sobie sprawę z tego, że dotychczasowa działalność czło-
wieka, jego beztroska w wykorzystywaniu przyrody doprowadziły do zagrożeń
pandemicznych, klimatycznych i ekologicznych, trzeba szukać sposobów na za-
trzymanie nadciagających katastrof. Nowa humanistyka, rozbudowując reflek-
sję literacką i językową o komponenty społeczny, bioetyczny, ekologiczny, nie
tylko wprowadza nowe spojrzenie na stare zagadnienia literackie, lecz także
odkrywa w nich aktualne problemy. Propozycje rozważania problematyki społecznej w świetle nowej huma-
nistyki zamieszczone w artykułach XXX tomu „Z Teorii i Praktyki Dydak-
tycznej Języka Polskiego” zmierzają do pokazania, jak można kształcić tole- 8 Wstęp rancję, wrażliwość, empatię w procesie odbioru tekstów literackich i rozmowy
o nich z uczniami. Autorzy postulują skupienie uwagi na literaturze współczes-
nej. W procesie czytania i dyskusji młodzi ludzie mogą nauczyć się otwartego
wyrażania swoich poglądów, emocji, zdobędą umiejętność interpretacji nie tyl-
ko utworów literackich, lecz także zjawisk społecznych, kulturowych, politycz-
nych. Wprowadzenie do edukacji szerokiego spektrum kwestii związanych
z nową humanistyką z jednej strony umożliwi młodym ludziom radzenie
sobie z ich własnymi lękami, a z drugiej może przyczynić się do zdobywania
przez młodzież takiej świadomości, która stanie się podstawą dla stworze-
nia w przyszłości odpowiedzialnego społeczeństwa obywatelskiego. 1 Artykuł Magdaleny Ochwat Edukacja polonistyczna wobec kryzysu klimatycznego — roz-
poznania i rekomendacje dydaktyczne, zamieszczony w czasopiśmie „Annales Universitatis Ma-
riae Curie-Sklodowska. Sectio N — Educatio Nova” został wyróżniony Nagrodą im. prof. Roma-
na Czerneckiego. Nagrodę wręczono autorce 3 listopada 2021 roku. Wstęp Idea kształcenia mądrego, świadomego, odpowiedzialnego za swe wybory
społeczeństwa artykułowana jest w wielu współczesnych publikacjach filozo-
ficznych i socjologicznych, wystarczy wymienić choćby te Marty Nussbaum,
Hannah Arendt, Zygmunta Baumana, a z bliskich naszemu środowisku nauko-
wemu takich uczonych, jak Tadeusz Sławek czy Ryszard Koziołek. Aby idea tak rozumianego wychowania obywatelskiego mogła być realizo-
wana, konieczna jest wspólnota działania szkoły i akademii. Kwestię tę także
pokazują autorzy zamieszczonych w tomie artykułów. Humanistyczna reflek-
sja naukowa zrodzona z badań akademickich, artykułowana w pracach Ry-
szarda Nycza, Przemysława Czaplińskiego, Julii Fiedorczuk czy Urszuli Za-
jączkowskiej, przebija się do szkolnej polonistyki. Dzięki pracom naukowym
takich badaczy dydaktyki szkolnej, jak Maria Kwiatkowska-Ratajczak, Krzysz-
tof Koc, Anna Janus-Sitarz, Grażyna Tomaszewska, Dariusz Szczukowski,
Małgorzata Wójcik-Dudek czy Magdalena Ochwat1, idee nowego myślenia
humanistycznego przekładane są na propozycje rozwiązań w obrębie dydak-
tyki szkolnej, te zaś są publikowane i stanowią inspirację dla poszukujących
nauczycieli. W XXX tomie „Z Teorii i Praktyki Dydaktycznej Języka Polskiego” po-
kazano także ważność kształtowania świadomości językowej uczniów w wielu
perspektywach. Z jednej strony w perspektywie nauczania języka ojczystego,
a z drugiej — w perspektywie nauczania języka jako drugiego — odziedziczo-
nego, obcego. Kwestie językowe w kontekście nowej humanistyki coraz częściej
stanowią świadectwo artykułowania określonej świadomości etycznej, estetycz-
nej czy wreszcie ekologicznej. O etyce słowa już w latach dziewięćdziesiątych
ubiegłego wieku pisała Jadwiga Puzynina, kładąc podwaliny pod badania doty-
czące języka wartości. Badania te włączone w refleksję nowej humanistyki jesz-
cze silniej podkreślają nierozerwalne związki języka i literatury, ale także ujaw- 9 Wstęp niają ukryte czy wręcz ukrywane intencje mówiących (piszących). Kształcenie
językowej świadomości, dyskutowanie o języku nie tylko jako o tworzywie
literackim, ale i o budulcu wypowiedzi mówionej oraz pisanej, kreatorze obrazu
świata wydaje się zatem ważnym elementem edukacji obywatelskiej. Natomiast
porównanie badań i zachowań językowych w szkolnej rzeczywistości polskiej
i innych krajów, zwłaszcza sąsiednich (słowiańskich), dostarcza ciekawych
obserwacji i wniosków dla budowania procesu dydaktycznego. Jubileuszowe wydanie „Z Teorii i Praktyki Dydaktycznej Języka Polskiego”
stanowi zwrot w prezentacji tematów — rozszerza je o zagadnienia społeczne,
wprowadza konteksty międzynarodowe, pokazuje zainteresowanie polszczyzną
w innych obszarach językowych, a także sygnalizuje perspektywę porównaw-
czą w nauczaniu języka ojczystego w obszarze tej samej, słowiańskiej grupy. Ewa Jaskółowa
orcid.org/0000-0002-4477-9963
Uniwersytet Śląski w Katowicach Ivana Dobrotová
orcid.org/0000-0002-1832-8376
Univerzita Palackého v Olomouci, Česká republika
|
https://openalex.org/W2033988165
|
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089821&type=printable
|
English
| null |
Zscan4 Is Regulated by PI3-Kinase and DNA-Damaging Agents and Directly Interacts with the Transcriptional Repressors LSD1 and CtBP2 in Mouse Embryonic Stem Cells
|
PloS one
| 2,014
|
cc-by
| 15,519
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Abstract The Zscan4 family of genes, encoding SCAN-domain and zinc finger-containing proteins, has been implicated in the control
of early mammalian embryogenesis as well as the regulation of pluripotency and maintenance of genome integrity in
mouse embryonic stem cells. However, many features of this enigmatic family of genes are poorly understood. Here we
show that undifferentiated mouse embryonic stem cell (ESC) lines simultaneously express multiple members of the Zscan4
gene family, with Zscan4c, Zscan4f and Zscan4-ps2 consistently being the most abundant. Despite this, between only 0.1
and 0.7% of undifferentiated mouse pluripotent stem cells express Zscan4 protein at a given time, consistent with a very
restricted pattern of Zscan4 transcripts reported previously. Herein we demonstrate that Zscan4 expression is regulated by
the p110a catalytic isoform of phosphoinositide 3-kinases and is induced following exposure to a sub-class of DNA-damage-
inducing agents, including Zeocin and Cisplatin. Furthermore, we observe that Zscan4 protein expression peaks during the
G2 phase of the cell cycle, suggesting that it may play a critical role at this checkpoint. Studies with GAL4-fusion proteins
suggest a role for Zscan4 in transcriptional regulation, further supported by the fact that protein interaction analyses
demonstrate that Zscan4 interacts with both LSD1 and CtBP2 in ESC nuclei. This study advances and extends our
understanding of Zscan4 expression, regulation and mechanism of action. Based on our data we propose that Zscan4 may
regulate gene transcription in mouse ES cells through interaction with LSD1 and CtBP2. Citation: Storm MP, Kumpfmueller B, Bone HK, Buchholz M, Sanchez Ripoll Y, et al. (2014) Zscan4 Is Regulated by PI3-Kinase and DNA-Damaging Agents and
Directly Interacts with the Transcriptional Repressors LSD1 and CtBP2 in Mouse Embryonic Stem Cells. PLoS ONE 9(3): e89821. doi:10.1371/journal.pone.0089821 Editor: Michael Kyba, University of Minnesota, United States of America Received September 1, 2013; Accepted January 23, 2014; Published March 3, 2014 Received September 1, 2013; Accepted January 23, 2014; Published March 3, 2014 Copyright: 2014 Storm 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: Funded by grant G0801108 from The Medical Research Council (http://www.mrc.ac.uk/index.htm). BK and MB were supported by the Marie Curie Early
Stage Training programme MEST-CT-2005-019822. YSR was the recipient of an MRC Capacity Building Studentship. 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. Competing Interests: The authors have declared that no competing interests exist. . These authors contributed equally to this work. ¤ Current address: Biotechnology and Biological Sciences Research Council, Polaris House, Swindon, United Kingdom via the Jak-Stat3 and Smad-Id pathways respectively [5,6,7]. Inhibition of glycogen synthase kinase 3 (Gsk-3), which mimics
both activation of the Wnt pathway and growth factor-induced
PI3K signaling, can enhance mouse ESC self-renewal [8,9] and
assist in maintaining the ‘ground state’ of mouse ESC pluripotency
[10,11,12]. Inhibition of MAPK signaling, in addition to Gsk-3
inhibition (referred to as 2i conditions) is sufficient to maintain self-
renewal of mouse ESCs in the absence of additional exogenous
factors [10]. Phosphoinoside 3-kinase (PI3K) signaling has also
been implicated in the maintenance of both mouse [13,14,15] and
human ESC [16] pluripotency. Zscan4 Is Regulated by PI3-Kinase and DNA-Damaging
Agents and Directly Interacts with the Transcriptional
Repressors LSD1 and CtBP2 in Mouse Embryonic Stem
Cells Michael P. Storm1., Benjamin Kumpfmueller1,3., Heather K. Bone1, Michael Buchholz2, Yolanda Sanchez
Ripoll1, Julian B. Chaudhuri3, Hitoshi Niwa4, David Tosh2, Melanie J. Welham1*¤
1 Centre for Regenerative Medicine and Departments of Pharmacy & Pharmacology University of Bath Bath United Kingdom 2 Department of Biology and Biochemistry Michael P. Storm1., Benjamin Kumpfmueller1,3., Heather K. Bone1, Michael Buchh
Ripoll1, Julian B. Chaudhuri3, Hitoshi Niwa4, David Tosh2, Melanie J. Welham1*¤ p
1 Centre for Regenerative Medicine and Departments of Pharmacy & Pharmacology, University of Bath, Bath, United Kingdom, 2 Department of Biology and Biochemistry,
University of Bath, Bath, United Kingdom, 3 Department of Chemical Engineering, University of Bath, Bath, United Kingdom, 4 RIKEN Centre for Developmental Biology,
Kobe, Hyogo, Japan ation: Storm MP, Kumpfmueller B, Bone HK, Buchholz M, Sanchez Ripoll Y, et al. (2014) Zscan4 Is Regulated by PI3-Kinase and DNA-
ectly Interacts with the Transcriptional Repressors LSD1 and CtBP2 in Mouse Embryonic Stem Cells. PLoS ONE 9(3): e89821. doi:10.1371 Generation of GFP-Zscan4c and Zscan4c-V5-His mouse
ES cell lines Generation of GFP-Zscan4c and Zscan4c-V5-His mouse
ES cell lines An eGFP-Zscan4c fusion protein was generated by amplifying
the Zscan4c coding sequence with the primers: forward (59-T-
TATGGCTTCACAGCAGGCA) and reverse (59- TTAATTG-
CGGCCGCTCAGTCAGATCTGTGGTAAT). The
resulting
product
was
cloned
into
SmaI/NotI
digested
pTRE-Tight
(Clontech) which contained the coding sequence for eGFP. This
generated an in-frame N-terminal fusion between eGFP and
Zscan4c. To generate ESCs with eGFP-Zscan4c under the control
of Tet-on regulation, R1 mESCs containing the Tet-On Advanced
Transactivator (Clontech; a kind gift of Giusi Manfredi, University
of Bath) were co-transfected by electroporation with pTRE-eGFP-
Zscan4c and a vector conferring resistance to Hygromycin B. Clones were selected in 300 mg/ml Hygromycin B, expanded,
screened for expression and further characterised (Supplemental
Figure S1). The karyotype of clones used for further analyses was
checked and confirmed as normal (data not shown). To generate
ESCs expressing an inducible c-terminal V5-His epitope tagged
version of Zscan4c under the regulation of the Tet-off system,
Zscan4c-V5-His was PCR amplified from a pcDNA3.1vector
containing the required insert [24] using the primers forward (59-
AATGTCGACTAATACGACTCACTATAGGG) and reverse
(59-AATGTCGACTAGAAGGCACAGTCGAGG). This prod-
uct was blunt-end ligated into the Tet-off response plasmid
pUHD10-3 [40] to create the vector pTet-off-Zscan4c-His-V5. To
generate inducible Zscan4c-Tet-off ESC lines, linearized pTet-off-
Zscan4c-His-V5 was electroporated as previously described [14]
into E14tg2A (clone R63) ESCs which constitutively express the
tetracycline transactivator (tTA) driven by the CAG promoter
[41]. Transfectants were selected in G418 and surviving clones
expanded and screened by immunoblotting for the induction of
Zscan4c expression after withdrawal of tetracycline. Clones with
the highest degree of inducible expression were used in this study
and further characterised (Supplemental Figure S2). Clones were
routinely cultured in the presence of 1 mg/ml tetracycline to
maintain transgene expression switched off, tetracycline was
removed to induce Zscan4c-V5-His expression. Recently, members of the Zscan4 family of zinc finger proteins
have been identified as important contributors to the maintenance
of the pluripotent state of mouse ESCs [24,25]. The Zscan4 family
comprises 9 very closely related gene paralogues located on mouse
chromosome 7 [24,26]. Full-length Zscan4 proteins comprise an
N-terminal SCAN domain of approximately 160 residues and 4
zinc finger motifs, located towards the C-terminus [24,26]. SCAN
domains can mediate dimerisation of other Zinc finger-containing
proteins [27,28,29], although to date this has not been demon-
strated for the Zscan4 family. Generation of GFP-Zscan4c and Zscan4c-V5-His mouse
ES cell lines In terms of the functional role of Zscan4 family members, Falco
et al., first identified Zscan4d as a gene upregulated during zygotic
genome activation in mouse 2-cell stage embryos [26]. Blockade of
Zscan4d expression during pre-implantation development led to a
delay in 2-cell to 4-cell progression and blastocysts that did develop
were unable to implant or proliferate in culture [26]. Interestingly,
in mouse ESCs Zscan4 mRNA exhibits a very unusual pattern of
expression, restricted to only a small proportion of cells [26,30]. Studies have suggested that Zfp206 and Smad4 play positive and
negative roles respectively in regulating Zscan4 expression [31,32]. We first identified Zscan4c as a gene whose expression is down-
regulated in mouse ESCs following inhibition of PI3K signaling
[24] and demonstrated that knock-down of Zscan4 family
members decreased self-renewal of mESCs, consistent with a role
for Zscan4 proteins in maintenance of the ESC state [24]. More
recently it has been reported that Zscan4 plays a key role in
maintaining the stability and integrity of the ESC genome [25]. Furthermore its transient expression can enhance both the
efficiency of generation of induced pluripotent stem cells [33]
and genome stability during the reprogramming phase [34]. More
recently, Zscan4 has also been shown to be capable of restoring
developmental pluripotency to embryonic stem cells [35]. These
findings suggest that the Zscan4 family plays multiple roles in
maintenance of the ESC state. To increase our understanding of the biology of the Zscan4
family of proteins we have investigated the patterns and regulation
of expression of Zscan4 genes and proteins in mouse ESCs and
probed the mechanisms of action of Zscan4. Here we report that
multiple Zscan4 genes are expressed in different ESC lines,
including genes previously proposed as pseudogenes. In multiple
pluripotent mouse stem cell lines Zscan4 protein expression was
consistently found to be highly restricted, with between 0.1 and
0.7% Zscan4-positive cells detected. We also show that Zscan4
protein levels are modulated by PI3K and Gsk-3-dependent
signaling, in response to DNA damage and during the G2 phase of
the cell cycle. Consistent with a role as a potential regulator of
transcription, we demonstrate that Zscan4c modulates transcrip-
tion in a heterologous system and that Zscan4 proteins are located
in the nucleus, where they interact with components of co-
repressor complexes, including LSD1 and CtBP2. Generation of GFP-Zscan4c and Zscan4c-V5-His mouse
ES cell lines Based on our
current understanding of Zscan4 biology we believe that this gene
family represents an intriguing new paradigm for the control of the
ESC state. Generation of mouse ES cell lines expressing
myristyolated p110a y
y
p
A version of p110a containing an in-fame N-terminal N-
myristoyl
transferase
recognition
peptide
sequence,
MGSSKSKPK,
was
amplified
by
PCR
from
the
plasmid
pPyCAG-myrp110a-IP [42] and subcloned into the piggyBac
vector pPBCAGcHAIN to generate pPB-myr-p110a. One day
prior to transfection, 26104 OCRG9 mouse ESCs (Rex1-GFP/
Oct3/4-CFP double knock-in ES cells)/well were plated into 12-
well cell culture trays. The following day, 1 mg of pPB-myr-p110a
and 1 mg transposase expressing helper plasmid (pCAG-PBase)
were mixed in 25 ml of GMEM without serum. 25 ml of diluted
Lipofectamine2000 (2 ml Lipofectamine2000 plus 23 ml GMEM)
was added to the DNA mix and incubated at room temperature
for 10 min. 450 ml of GMEM plus serum was then added and the
mixture applied to prepared cells. After 3 hours, the medium was
replaced with fresh medium. Selection with G418 was initiated
after a further 24 h and colonies generated after 6 days in selection
were picked and expanded. Materials and Methods Culture of mouse pluripotent cells Introduction Embryonic stem cells (ESCs) self-renew and are pluripotent,
meaning they can differentiate into all cells comprising an adult
organism [1]. These properties have made ESCs an attractive
source of differentiated cell types for use in both drug discovery
and regenerative medicine. While the potential of ESCs has been
widely recognized, it is imperative that the mechanisms regulating
their self-renewal, pluripotency and stability are better understood,
to ensure their efficacy and safety. The extrinsic factors, signaling pathways and transcription
factor networks that contribute to maintenance of mouse ESC self-
renewal and pluripotency, referred to as the ‘ESC state’, have been
extensively studied [1,2,3,4]. Leukaemia inhibitory factor (LIF)
and Bone morphogenetic protein 4 (BMP4) are the key cytokines
required for maintenance of ESC self-renewal in culture, acting Oct4, Sox2 and Nanog are amongst the most important
transcription
factors
that
contribute
to
regulation
of
ESC
pluripotency, often referred to as the ‘core transcription factors’
or ‘master regulators’ [1,17]. Other transcription factors work in
concert with these core factors and include Zfx [18], Klf 2 & 4 March 2014 | Volume 9 | Issue 3 | e89821 1 PLOS ONE | www.plosone.org Regulation of Expression and Mode of Action of Zscan4 [19], c-Myc [20], Esrrb [21] and Tbx3 [13,21]. In addition,
epigenetic regulation has been proposed to play an important role
in control of the ESC state [1,22,23]. Generation of transcriptional reporters p
p
A synthetic GAL4-UAS promoter, containing five GAL4
bindings sites (59-CGGAGTACTGTCCTCCG-39), was cloned
into the pGL4.26 luciferase reporter (Promega), using the synthetic
sequences: forward 59- CCGGAGTACTGTCCTCCGTACGG-
AGTACTGTCCTCCGTATGCCGGAGTACTGTCCTCCGA-
TCGGAGTACTGTCCTCCGTATGCCGGAGTACTGTCCT-
CCGC & reverse 59-TCGAGCGGAGGACAGTACTCCGG-
CATACGGAGGACAGTACTCCGATCGGAGGACAGTACT-
CCGGCATACGGAGGACAGTACTCCGTACGGAGGACAG-
TACTCCGGGTAC, as shown in Supplemental Figure S3. The
trans-activator reporter plasmid, pFA-CMV (Stratagene), was used
to create a series of Zscan4c-Gal4 fusion proteins using the primer
sequences listed in Supplemental Table S2. A Nanog Gal4-fusion
was also generated. After sequence verification of the constructs,
transcriptional activity was tested in heterologous Hek293 cells. For transfection, cells were plated at 60,000 cells/well in a 96-well
dish and incubated for 24 h in 100 ml DMEM plus 10% (v/v)
FBS, which was subsequently replaced with 50 ml of the same
medium. Following this, 100 ng pGL4.26 GAL4-UAS, 20 ng
pFA-CMV SCAN (or SCAN+ or SCAN+ZnF) and 20 ng phRL-
TK (Renilla plasmid to control for transfection efficiency) were
combined in 12.5 ml Optimem and incubated at room tempera-
ture for 5 min. The DNA was then combined with diluted
Lipofectamine 2000 (0.5 ml in 12.5 ml Opti-Mem) and incubated
for 20 min before addition to cells. After 24 h luciferase detection
was carried out using Dual-Glo Luciferase Assay System (Promega
– E2920). After subtraction of background fluorescence for Renilla
and Firefly luciferase, the ratio of reporter (firefly) luminescence to
control (Renilla) luminescence was calculated and values were
normalized relative to Gal DBD response alone – this value
represents the Relative Response Ratio. Cytosolic or nuclear cell extracts were prepared as described
previously [44] and protein concentrations determined. To
generate total cell extracts RIPA lysis buffer (150 mM NaCl,
50 mM TrisHCl pH8, 1% (v/v) NP40, 0.5%(w/v) Na Deoxyco-
late, 0.1% (w/v) SDS, 25 U/ml Benzonase, 1 mM sodium
vanadate, 1 mM sodium molybdate, 10 mM sodium fluoride,
40 mg/ml PMSF, 0.7 mg/ml Pepstatin , 10 mg/ml Aprotinin,
10 mg/ml Leupeptin, 10 mg/ml Soyabean trypsin inhibitor) was
used. For
immunoprecipitation,
equal
amounts
of
protein
(cytosolic or nuclear extracts) were pre-cleared with protein A
sepharose beads and then precipitated with either Nanotrap beads
(30 ml of 50% (v/v) slurry, Chromatek), pre-immune serum
(5 ml), anti-panZscan4 antiserum (5 ml), anti-LSD-1 (2 mg per
sample, Abcam, ab37165), anti-CtBP2 (2 mg per sample, BD
Transduction Labs, Cat No. Regulation of Expression and Mode of Action of Zscan4 Regulation of Expression and Mode of Action of Zscan4 Regulation of Expression and Mode of Action of Zscan4 University of Bath, UK). For cell cycle analyses by flow cytometry,
cells were trypsinised and fixed with 70% (v/v) ice-cold ethanol. After washing with PBS and re-hydration for 10 min, cells were
incubated with 7-AAD (0.5 mg/ml) for 1.5 h at 4uC. A minimum
of 10,000 cell events were acquired using FACS Canto flow
cytometer (Becton-Dickinson) and analysed using FACS Diva
software. Alternatively, live cells were stained with Nuclear-ID
Red according to the manufacturer’s instructions (Enzo Life
Sciences) and a minimum of 140,000 cell events were analysed as
above. Cloning and sequencing of Zscan4 transcripts RNA was isolated and RT-PCR performed as above using the
following primers (Forward 59-ACAATGGCTTCACAGCAGG,
Reverse 59-ACGATGGTAAGTGGATGATTGG) and limited
amplification (22 cycles). PCR products were TOPO cloned into
pcDNA3.1 (Invitrogen). Clones were picked, plasmid DNA
extracted and 96 insert verified clones were sequenced using the
primer 59-CATCCTAGAACATTCTTCACAC. All primers used
bind to all 9 Zscan4 paralogs with equal efficiency. Sequences
were analysed using Sequencher (GeneCodes). Affinity purification of Zscan4 interacting proteins
GFP-Trap-A beads (Chromotek) provide a means of Affinity purification of Zscan4 interacting proteins
GFP-Trap-A beads (Chromotek) provide a means of high
affinity purification in a single step, facilitating rapid precipitation
and the potential to capture less stable interactions. Following
induction of eGFP-Zscan4 expression by addition of Dox to GFP-
Zscan4c ESCs for 24 h, cells were harvested, washed in PBS and
cell pellets resuspended in cytosolic extraction buffer (20 mM
HEPES, 10 nM KCl, 1 mM EDTA, 10% (v/v) Glycerol, 1 mM
PMSF, 1 mg/ml Aprotinin, 1 mg/ml leupeptin, 1 mg/ml pepstatin,
5 mg/ml antipain, 157 mg/ml benzamidine, 5 mM b-glycerophos-
phate, 5 mM sodium fluoride, 1 mM sodium orthovanadate,
pH 7.9). After a 30 min incubation at 4uC, the suspension was
drawn through a 27G needle ten times and centrifuged at
1630006 g for 5 min at 4uC. The supernatant was removed and
designated ‘cytosol’. The remaining nuclear pellets were washed Generation of transcriptional reporters 612044) or anti-V5 epitope (2 mg per
sample, Abcam ab27671) antibodies and immune complexes
captured on protein A or G sepharose beads, prior to extensive
washing with nuclear extraction buffer and boiling in Laemmli
buffer. For immunoblotting, 20 mg of each protein sample or the
entire immunoprecipitate was separated by SDS-PAGE and
transferred to nitrocellulose as previously described [45]. Immu-
noblotting was carried out with the following primary rabbit
polyclonal antibodies: 1:4000 anti-panZscan4 (Merck Millipore,
AB4340); 1:2000 LSD-1 (Abcam, ab37165); 1:5000 GFP (MBL,
598), or mouse monoclonal antibodies at 1:2000 anti-CtBP2 (BD
Transduction Laboratories, 612044), 1:5000 anti-V5 epitope
(Abcam, ab27671), 1:1000 c-H2AX (Merck Millipore clone
JBW301) or 1:20000 anti-GAPDH (Ambion, AM4300). Anti-
mouse or anti-rabbit secondary antibodies conjugated to horse-
radish peroxidase (DAKO) were used for detection and blots were
developed using ECL Prime according to the manufacturer’s
instructions (GE Healthcare). Protein relative quantification was
carried out using ImageQuant RT-ECL imager and analysed
using ImageQuant TL software (GE Healthcare). Blots were
stripped and reprobed as previously described [45]. RNA isolation and RT-PCR The mouse ES cell lines E14tg2a [36], E14 Gsk-3 double knock-
out (DKO; [37]), CCE, CGR8, IOUD2, R1 and ZE3-MC-1 [25]
and the mouse iPS cell line [38] were cultured as described
previously [8,14,39]. RNA was isolated and RT-PCR performed as previously
described [43]. The list of primers used in this study are
summarised in Table S1. March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org 2 Regulation of Expression and Mode of Action of Zscan4 Generation of mouse pan-Zscan4 antibodies Polyclonal rabbit antisera were generated against a Zscan4-
specific peptide (GVPQDSTRASQGTSTC, amino acids 322–
337; anti-pan Zscan4) by Millipore/Merck according to company
procedures. Specificity for Zscan4 was confirmed by immunoblot-
ting in the presence and absence of blocking peptide and
immunoprecipitation (Figure S4). Regulation of Expression and Mode of Action of Zscan4 Regulation of Expression and Mode of Action of Zscan4 twice with ice cold cytosolic extraction buffer before being
resuspended
in nuclear
extraction buffer
(20 mM
HEPES,
10 nM KCl, 400 mM NaCl, 1 mM EDTA, 20% (v/v) Glycerol,
1 mM PMSF, 1 mg/ml Aprotinin, 1 mg/ml leupeptin, 1 mg/ml
pepstatin, 5 mg/ml antipain, 157 mg/ml benzamidine, 5 mM b-
glycerophosphate, 5 mM sodium fluoride, 1 mM sodium ortho-
vanadate, pH 7.9). Following rotation at 4uC for 1 h samples were
centrifuged at 1630006 g for 15 min. The supernatant was
collected and designated as the nuclear extract. Cytosolic and
nuclear fractions were cleared by centrifugation at 60,0006 g for
30 minutes at 4uC. A subsequent buffer exchange to immunopre-
cipitation (IP) buffer (50 mM Na2HPO4, 150 mM NaCl, pH 7.4)
was performed using Amicon centrifugal filters with a 10 kDa cut-
off according to the manufacturer’s protocol. Prior to immuno-
precipitation, lysates were pre-cleared with hydrated sepharose
beads for 1 h at 4uC on a rolling shaker. IPs were performed with
500 ml GFP-Trap-A beads (Chromotek) for 1–3 hours on a rolling
shaker at 4uC, followed by three washes with IP buffer. Bound
protein was eluted with 200 mM glycine at pH 2.5 and 1 M Tris-
base (pH 10.4) was added for neutralization. The eluates were
centrifuged at 1000 rpm for 1 minute and the supernatant
transferred to Amicon centrifugal filters with a 3 kDa cut-off for
concentration, according to the manufacturer’s recommendations. SDS loading buffer was added and samples were boiled for
5 minutes. Proteins purified from uninduced and induced-derived
cell extracts were separated by large format SDS-PAGE, stained
with Coomassie blue and proteins enriched in the samples
prepared from induced cells were excised from the gel and
submitted for protein sequencing at The University of Bristol
Proteomics
Facility
(http://www.bristol.ac.uk/biochemistry/
proteomics/services.html). Automated in-gel tryptic digestion
was performed using a ProGest unit and resulting peptides
analysed by reverse-phase LC MSMS using an LTA-Orbitrap
Velos mass spectrometer. The mass spectral data from each
fraction was combined prior to database searching using Mascot to
identify the proteins present in the sample. Protein scores greater
than 64 were classed as significant (p,0.05). In addition, MSMS
analyses generated sequence data for a number of peptides. Following these analyses and comparison to the mouse protein
sequence database, sequences were returned for 3 out of 4
proteins. Results Members of the Zscan4 family of genes have been implicated in
the regulation of pluripotency and genome stability, both functions
that impact on maintenance of the stem cell state of mouse ESCs
[24,25]. Two enigmatic features of the Zscan4 family are the
existence of 9 highly related gene paralogues and a very restricted
pattern of expression. These features suggest Zscan4 family
members may regulate the ESC state by novel mechanisms. Our
aim was to investigate the underlying basis of the restricted
expression pattern observed and further examine the mechanism
of action of Zscan4 in ESCs. Regulation of Expression and Mode of Action of Zscan4 ensuring that the most relevant are studied further, we investigated
the patterns of expression of individual Zscan4 genes in two
distinct mouse ESC lines. The very high sequence homology of
Zscan4 paralogues precluded a PCR-based approach to quantify
expression of individual genes and instead ESC cDNA was
subjected to a limited number of amplification cycles, using
primers that hybridise equally to transcripts from all 9 Zscan4
genes, prior to direct cloning into TOPO vectors. 96 clones were
selected at random for DNA sequencing and each individual
sequence returned was assigned to one of the 9 Zscan4 genes
based on information in the most recent build of the mouse
genome on NCBI (NCBIm37), as described in Supplemental
Figure S5. Figure 1A shows the relative expression of each Zscan4
transcript in E14 and CCE ESCs, compared to the 129.3 ESC line
reported previously [26]. Zscan4c, 4f and ps2 were the most
abundant transcripts detected in E14 and CCE ESCs. The most
striking difference observed was in the expression of Zscan4-ps2 in
both
E14
and
CCE, compared
to
its
absence
in 129.3. Interestingly, phylogenetic analyses of the 9 Zscan4 paralogues
(Figure 1B), suggests that Zscan4c, 4f and ps2 are the most closely
related family members. In view of this, it is interesting that these 3
genes should consistently be the most abundant transcripts
detected, suggesting they constitute the most functionally relevant
Zscan4 genes in ESCs. We also detected expression of Zscan4-ps1
and Zscan4-ps3, suggesting their designation as pseudogenes,
based on lack of expression, is no longer correct in the light of this
new analysis. Restricted patterns of Zscan4 expression are a feature of
multiple pluripotent mouse stem cell lines To date, whole mount in situ hybridization of ESC colonies [26]
and Zscan4c-based promoter-reporter systems [25] have suggested
that expression of Zscan4 transcripts is restricted to between 3 and
5% of cells in a population of undifferentiated mouse ESCs at any
one time. We wanted to investigate this highly unusual pattern of
expression further and, in particular, determine whether Zscan4
protein shows a similarly restricted pattern of expression to Zscan4
RNAs. To achieve this aim we generated a pan-Zscan4 anti-
peptide polyclonal antibody, which detects Zscan4 in immunoblots
and is specifically blocked by the immunizing peptide (Supple-
mental Figure S4A). We initially used ZE3-MC1 ESCs, that
express Emerald-GFP under the control of a 2.6 kb fragment of
the Zscan4c promoter [25], to measure the correlation between
Zscan4 transcriptional reporter and protein expression. As shown
in Figure 2A (i) a robust correlation between detection of Emerald-
GFP and staining with the Zscan4 antibody was observed, with
Zscan4
protein
being
localized
primarily
in
the
nucleus
(Figure 2A(ii)). Having established concordance between the
Zscan4
reporter
and
protein
expression,
we
analysed
the
proportion of Zscan4 positive cells present in populations of
undifferentiated mouse ESC lines and a mouse iPSC line. Our
data, shown in Figure 2B, demonstrate that the proportion of cells
staining positive for Zscan4 protein is between 0.1 and 0.7%
(average of 0.33%) lower than the estimated number of cells
expressing Zscan4 transcripts reported previously [25,26]. Even
with the ZE3-MC1 reporter cell line generated and used by
Zalzman and colleagues [25], we consistently detected 10-fold
fewer Zscan4 positive cells than reported previously and we
obtained similar results when the expression was measured using
flow cytometry (average of 0.43% positive cells, S.E.M 0.03, n = 3,
events = 140,000–478,000). Despite these differences, our studies
clearly demonstrate that Zscan4 protein expression, like Zscan4
transcripts, exhibits a highly restricted pattern of expression in a
range of undifferentiated mouse pluripotent cells, including iPSCs. Immunofluorescence and flow cytometry Cells were fixed with 4% (w/v) paraformaldehyde for 20 min,
permeablised in 1% Triton X-100 for 20 min, blocked for 1 h in
1% blocking reagent (Roche), washed and incubated with 1:500
dilution of anti-Zscan4 antisera. After washing, a 1:100 dilution of
anti-rabbit-Texas Red antibody (Vector Laboratories) was added. After a second round of washing DAPI was added for 20 min. Samples were again washed and mounted under a coverslip with
fluorescence
mounting
medium
(DAKO). Fluorescence
was
visualised using Leica DMI 4000B fluorescence microscope or
Zeiss
LSM
Meta
Confocal
Microscope
(Bioimaging
Suite, March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org 3 Zscan4 gene expression is regulated by the p110a
isoform of phosphoinositide-3 kinases p
p
We originally identified Zscan4c as a gene that was rapidly
down-regulated upon inhibition of PI3K signaling in mouse ESCs
[24]. In this earlier study we had used the broad selectively PI3K
inhibitor, LY294002, which targets most PI3K isoforms. Owing to
the significant interest in the PI3K signaling pathway as a drug
target, small molecule inhibitors, which show selectivity for specific
PI3K isoforms, have become available [47]. Mouse ESCs express
three of the class 1 PI3K catalytic isoforms, p110a, p110b and
p110d [48]. Therefore, we investigated the coupling of specific
p110 PI3K catalytic subunit isoforms to regulation of Zscan4
expression, initially using qRT-PCR. As shown in Figure 3A,
inhibition with LY294002 led to a reduction of approximately
80% in Zscan4 transcripts, consistent with previous results [24]. Inhibition of p110b isoform with either TGX121 (Fig. 3A(i)) or
TGX221 (Fig. 3A(ii)) or inhibition of the p110d isoform with
IC87114 (Fig. 3A(i)) did not alter Zscan4 RNA levels. In contrast,
inhibition of p110a with PIK75 (Fig. 3A (ii)), which is among the
most selective p110a inhibitors available to date [49], led to a
reduction in Zscan4 expression to the same extent to that observed
with LY294002. An un-related p110a inhibitor, compound 15e,
also led to a reduction in Zscan4 expression, while the mTOR
inhibitor, Rapamycin, had no effect (Supplemental Figure S6). Treatment with LY294002 or PIK-75 also resulted in a significant
(3–4-fold) reduction in the number of Zscan4 positive cells present
within the treated population (Fig. 3B) and these data were further
confirmed by immunoblot analyses (data not shown). To further
investigate the regulation of Zscan4 expression by the p110a PI3K
isoform, we over-expressed a myristyolated version of p110a (myr-
p110a) under the control of the CAG promoter [50] in OCRG9
mESCs. Zscan4 expression was analysed by qRT-PCR in three
independent clones over-expressing myr-p110a. Consistent with
our loss of function data, expression of p110a led to a significant
up-regulation in Zscan4 expression (Figure 3D) and this was
observed in cells grown with or without LIF for 4 days. Regulation of Expression and Mode of Action of Zscan4 Regulation of Expression and Mode of Action of Zscan4 In
further
analyses
we
examined
whether
there
was
any
correlation between Zscan4 protein expression and the master
regulator, Nanog, known to exhibit fluctuations in expression [46]. Using an ESC line expressing GFP under the control of the
endogenous
Nanog
promoter
(Nanog-GFP;
[46])
no
clear
correlation between Zscan4 expression and levels of Nanog was
observed (Figure 2C). Figure 1. Expression patterns of Zscan4 gene paralogues in
mouse ESC lines. A. The mouse ESC lines E14 or CCE were cultured in
the presence of KO serum replacement and LIF, RNA was extracted,
limited amplification by RT-PCR was performed and fragments cloned. 96 independent clones were sequenced and categorised as represent-
ing one of the 9 mouse Zscan4 paralogues present in the NCBIm37
database based on SNPs. The relative expression of each Zscan4
paralogue, as a percentage of the total number of Zscan4 gene
sequences obtained for E14 and CCE ESCs, are shown in comparison
with the 129.3 ESC line, data derived from that presented in [26]. B. The
suggested evolution of Zscan4 genes in the mouse based on sequence
variation. Dendrogram (Unweighted Pair-Groups Method using Aver-
ages) showing genetic relationship between Zscan4 paralogs based on
Nei’s [1972] original distance with 1000 bootstrap replications
(confidence values given at each node). The dendrogram was produced
using Tools for population genetic analysis (www.marksgeneticsof
tware.net). doi:10 1371/journal pone 0089821 g001 Multiple Zscan4 gene transcripts are expressed in self-
renewing mouse ESCs Individual Zscan4 genes have been reported to be differentially
expressed in 2-cell stage mouse embryos and mouse ESCs, with
three members, Zscan4-ps1, Zscan4-ps2 and Zscan4-ps3, pro-
posed as pseudogenes [26]. In contrast, we have previously
detected Zscan4-ps2 transcripts in undifferentiated E14 ESCs
[24]. Given this discrepancy, and the importance of knowing
which Zscan4 genes are most highly expressed in ESC, thereby March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org 4 Involvement of Gsk-3-dependent signaling in regulation
of Zscan4 expression Expression of the
Emerald reporter is shown (Green) and cells were counterstained with DAPI (Blue). (i) Scale bars = 100 mm. (ii) Scale bars = 5 mm. B. The mouse ESC
and iPSC lines indicated were cultured in the presence of serum replacement plus LIF and subsequently fixed and immunostained with the pan-
Zscan4 antibody, while nuclei were counter-stained with DAPI. The proportion of Zscan4 positive cells present were determined by counting several
thousand cells for each cell line sample. Data represent average of three independent replicates 6 SEM, unless otherwise indicated. C. A colony of
Nanog-GFP reporter cells stained with the anti-Zscan4 antibody. (i) The GFP reporter (Green), Zscan4 (Red) and nuclei (DAPI, Blue) are shown, along
with a merged image. (ii) Nanog-GFP cells were stained for Zscan4 protein. The levels of Nanog-GFP and Zscan4 protein expression were calculated
using Cell-P (Olympus) using fluorescent images captured using an Olympus IX51 epifluorescence microscope. Mean fluorescence intensity for GFP
(Nanog) was compared between all cells, Zscan4 expressing (+ve) and non-expressing (2ve) cells. doi:10.1371/journal.pone.0089821.g002
Regulation of Expression and Mode of Action of Zscan4 Regulation of Expression and Mode of Action of Zscan4 Figure 2. Zscan4 protein expression is highly restricted in mouse ESC and iPSC lines. A. The ZE3-MC1 Zscan4 reporter line [25] was
cultured in serum replacement plus LIF, cells were fixed and immunostaining was carried out with pan-Zscan4 antibodies (Red). Expression of the
Emerald reporter is shown (Green) and cells were counterstained with DAPI (Blue). (i) Scale bars = 100 mm. (ii) Scale bars = 5 mm. B. The mouse ESC
and iPSC lines indicated were cultured in the presence of serum replacement plus LIF and subsequently fixed and immunostained with the pan-
Zscan4 antibody, while nuclei were counter-stained with DAPI. The proportion of Zscan4 positive cells present were determined by counting several
thousand cells for each cell line sample. Data represent average of three independent replicates 6 SEM, unless otherwise indicated. C. A colony of
Nanog-GFP reporter cells stained with the anti-Zscan4 antibody. (i) The GFP reporter (Green), Zscan4 (Red) and nuclei (DAPI, Blue) are shown, along
with a merged image. (ii) Nanog-GFP cells were stained for Zscan4 protein. The levels of Nanog-GFP and Zscan4 protein expression were calculated
using Cell-P (Olympus) using fluorescent images captured using an Olympus IX51 epifluorescence microscope. Involvement of Gsk-3-dependent signaling in regulation
of Zscan4 expression We next investigated whether other pathways implicated in the
coordination of ESC self-renewal and pluripotency also control
Zscan4 expression. Inhibition of Gsk-3 has been implicated in the
maintenance of ESC self-renewal [8,9], as well as the ground state
of ESC pluripotency [10] and our previous work has demonstrated
that short-term treatment with the Gsk-3 inhibitor BIO leads to a
small, but significant increase in Zscan4 RNA expression [24]. Here we investigated Zscan4 expression in ESCs in which all 4
Gsk-3 alleles have been knocked out (DKO; [37]) compared to
their wild-type parental cells incubated with or without the more
selective Gsk-3 inhibitor, 1 m [8]. Interestingly, levels of Zscan4
protein were much higher in Gsk-3 double knock-out ESCs, both
in the presence and absence of LIF (Fig. 4A and C), when
compared to WT ESCs, while treatment of WT ESCs with 1 m
for 24 or 48 h had little influence on Zscan4 expression (see Fig. 4A
and B). These data suggest long-term inactivation of Gsk-3 leads to Figure 1. Expression patterns of Zscan4 gene paralogues in
mouse ESC lines. A. The mouse ESC lines E14 or CCE were cultured in
the presence of KO serum replacement and LIF, RNA was extracted,
limited amplification by RT-PCR was performed and fragments cloned. 96 independent clones were sequenced and categorised as represent-
ing one of the 9 mouse Zscan4 paralogues present in the NCBIm37
database based on SNPs. The relative expression of each Zscan4
paralogue, as a percentage of the total number of Zscan4 gene
sequences obtained for E14 and CCE ESCs, are shown in comparison
with the 129.3 ESC line, data derived from that presented in [26]. B. The
suggested evolution of Zscan4 genes in the mouse based on sequence
variation. Dendrogram (Unweighted Pair-Groups Method using Aver-
ages) showing genetic relationship between Zscan4 paralogs based on
Nei’s [1972] original distance with 1000 bootstrap replications
(confidence values given at each node). The dendrogram was produced
using Tools for population genetic analysis (www.marksgeneticsof
tware.net). doi:10.1371/journal.pone.0089821.g001 March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org 5 Figure 2. Zscan4 protein expression is highly restricted in mouse ESC and iPSC lines. A. The ZE3-MC1 Zscan4 reporter line [25] was
cultured in serum replacement plus LIF, cells were fixed and immunostaining was carried out with pan-Zscan4 antibodies (Red). Zscan4 expression is induced in response to DNA
damage da
age
Zalzman et. al., [25] reported that Zscan4 is key to maintaining
the genomic integrity of mouse ESCs. We predicted that if this
were the case, then Zscan4 expression may be sensitive to the
effects of DNA damage-inducing agents, so we examined whether
Zeocin, which induces double strand breaks, or Cisplatin, an
alkylating-like agent that induces DNA cross-links leading to
double strand breaks via stalled replication forks, affect expression
of Zscan4. As shown in Fig. 5A, a 12 h treatment with Zeocin
followed by wash-out and incubation for a further 8 and 24 h led
to a dose-dependent increase in Zscan4 expression (Fig. 5A (i) and
(ii)). In the case of Cisplatin treatment (12 h), a notable
enhancement of Zscan4 expression was detected 24 h following
wash-out (Figure 5B (i) and (ii)). Induction of cH2AX and the
proportion of cells in G2/M phase of the cell cycle were measured
to assess the cellular response to these agents (Fig. 5 A and B,
panels (i) and (iii)), which showed enhanced cH2AX phosphory-
lation and accumulation of cells in G2/M phase. Not only were
levels of Zscan4 protein enhanced following exposure to Zeocin,
but treatment with Zeocin also led to an increase in the proportion
of ESCs expressing detectable Zscan4 protein (Fig. 5C(i)), a
response partly attenuated by the PI3K inhibitor LY294002
(Fig. 5C(ii)). While the absolute frequency of Zscan4 positive cells
varied, due to variation in levels in control populations, we
consistently observed a 4–10-fold increase in Zscan4 positive cells
following exposure to Zeocin. Phosphorylation of the histone
H2AX (to generate cH2AX) is an indicator of DNA damage-
induced DNA double strand break and basal levels are known to
be elevated in mouse ESCs [51]. However, cH2AX levels are
further elevated in ESCs in response DNA damage (see Fig. 5A(i)
and B(i)), so we examined the relationship between Zscan4
expression and levels of cH2AX. We found levels of cH2AX were
higher in Zscan4 positive cells both under basal (control)
conditions and also following treatment with Zeocin (Fig. 5D),
consistent with DNA damage corresponding to enhanced Zscan4
expression. Figure 3. Zscan4 gene expression is regulated by the p110a
isoform of PI3Ks. A. Regulation of Expression and Mode of Action of Zscan4 Having established that long-term inhibition of Gsk-3
results in enhanced levels of Zscan4 protein we wondered whether
Gsk-3 plays a role in regulating the stability of Zscan4 protein, as it
does for other regulators of pluripotency, including ß-catenin and
c-Myc. To assess protein half-life, WT ESCs incubated with or
without 1 m (Gsk-3 inhibitor) (Figure 4B) or DKO (Figure 4C)
ESCs were treated with cycloheximide for 1 to 6 h. These data
suggest that Zscan4 protein has a half-life of between 3–6 h, which
is not notably prolonged upon disruption of Gsk-3 activity. Regulation of Expression and Mode of Action of Zscan4 Regulation of Expression and Mode of Action of Zscan4 Mean values are shown with standard deviations (n = 4). **, p,0.005,
***, p,0.0005 in a Student’s t-test. B. ESCs were cultured in LIF and
treated with either DMSO as a control or with 5 mM LY294002 (LY),
10 nM PIK75, 50 nM TGX221 (TGX), or 5 mM IC87114 for 48 h prior to
immunostaining for Zscan4. The mean percentage of Zscan4 positive
cells with SEM are shown. *, p,0.05, **, p,0.005 following an ANOVA
and Tukey’s post-hoc test. C. ESC clones over-expressing myristoylated
p110a catalytic subunit of PI3Ks were cultured in the presence or
absence of LIF. As a control parental OCRG9 ESCs were grown in
presence and absence of LIF for 4 days. Expression of Zscan4 was
analysed by qRT-PCR and Zscan4 expression normalised to levels of
GAPDH. The averages and SEM of triplicate samples from each of three
independent biological replicates are shown: ***, p,0.0005, in a
Student’s t-test. Figure 3. Zscan4 gene expression is regulated by the p1
isoform of PI3Ks. A. (i) and (ii) E14 ESCs were cultured in
presence of LIF, with the addition of DMSO (control) or the inhib
indicated: 5 mM LY294002 (broad spectrum PI3K inhibitor), 10
TGX121 (p110b), 5 mM IC87114 (p110d), 25 nM PIK75 (p110a), 100
TGX221 (p110b), for 48 h. RNA was extracted and levels of Zsc
expression analysed by qRT-PCR and normalised to levels of b-a doi:10.1371/journal.pone.0089821.g003 doi:10.1371/journal.pone.0089821.g003 up-regulation of Zscan4 expression and consistent with this we
find that culture of WT ESCs in 1 m for 14 days leads to a
corresponding increase in Zscan4 RNA expression (data not
shown). Having established that long-term inhibition of Gsk-3
results in enhanced levels of Zscan4 protein we wondered whether
Gsk-3 plays a role in regulating the stability of Zscan4 protein, as it
does for other regulators of pluripotency, including ß-catenin and
c-Myc. To assess protein half-life, WT ESCs incubated with or
without 1 m (Gsk-3 inhibitor) (Figure 4B) or DKO (Figure 4C)
ESCs were treated with cycloheximide for 1 to 6 h. These data
suggest that Zscan4 protein has a half-life of between 3–6 h, which
is not notably prolonged upon disruption of Gsk-3 activity. up-regulation of Zscan4 expression and consistent with this we
find that culture of WT ESCs in 1 m for 14 days leads to a
corresponding increase in Zscan4 RNA expression (data not
shown). Involvement of Gsk-3-dependent signaling in regulation
of Zscan4 expression Mean fluorescence intensity for GFP
(Nanog) was compared between all cells, Zscan4 expressing (+ve) and non-expressing (2ve) cells. doi:10.1371/journal.pone.0089821.g002 March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org 6 Zscan4 expression is elevated in late S-phase/early G2 of
the cell cycle Zscan4 protein. As shown in Figure 6B(i–iii) approximately 90% of
cells were arrested in G2/M by Nocodazole treatment (100 ng/
ml). 3 h after release many cells had re-entered G1 (Fig. 6B(ii)),
after 6–9 h cells had started to transit through S-phase (Fig. 6B(iii))
and by 12 h were entering G2/M, all consistent with the reported
pattern of the ESC cell cycle [52]. Interestingly, Nocodazole
treatment alone did not lead to an increase in Zscan4 expression
and instead Zscan4 protein levels remained at a constant level
until 12 h, when they rose by approximately 4-fold, with the rise
continuing to 18 h (Figure 6B(iv)). These data indicate that Zscan4
expression increases as cells transit from late S-phase and into G2
and implicate a selective role for Zscan4 during the G2
checkpoint. Zscan4 protein. As shown in Figure 6B(i–iii) approximately 90% of
cells were arrested in G2/M by Nocodazole treatment (100 ng/
ml). 3 h after release many cells had re-entered G1 (Fig. 6B(ii)),
after 6–9 h cells had started to transit through S-phase (Fig. 6B(iii))
and by 12 h were entering G2/M, all consistent with the reported
pattern of the ESC cell cycle [52]. Interestingly, Nocodazole
treatment alone did not lead to an increase in Zscan4 expression
and instead Zscan4 protein levels remained at a constant level
until 12 h, when they rose by approximately 4-fold, with the rise
continuing to 18 h (Figure 6B(iv)). These data indicate that Zscan4
expression increases as cells transit from late S-phase and into G2
and implicate a selective role for Zscan4 during the G2
checkpoint. During our analyses of Zscan4 protein expression by immuno-
staining we noted that positive cells often appeared in close
proximity
to each
other (see Figure
2). Enumerating
the
proportion of Zscan4 positive cells appearing as single cells,
doublets, triplets or quadruplicates (shown in Figure 6A(i)),
revealed that approximately 45% of Zscan4 positive cells occur
in close proximity to at least one other Zscan4 positive cell. This
prompted us to investigate whether Zscan4 proteins were
expressed preferentially by cells just prior to or during mitosis. Using the ZE3-MC1 reporter line we investigated the cell cycle
distribution profiles of Zscan4 positive and negative cells. As
shown in Figure 6A(ii), of all Zscan4 positive cells, approximately
45% were in G2/M phase of the cell cycle, very consistent with
our proximity data. Zscan4 expression is induced in response to DNA
damage (i) and (ii) E14 ESCs were cultured in the
presence of LIF, with the addition of DMSO (control) or the inhibitors
indicated: 5 mM LY294002 (broad spectrum PI3K inhibitor), 10 mM
TGX121 (p110b), 5 mM IC87114 (p110d), 25 nM PIK75 (p110a), 100 nM
TGX221 (p110b), for 48 h. RNA was extracted and levels of Zscan4
expression analysed by qRT-PCR and normalised to levels of b-actin. March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org PLOS ONE | www.plosone.org 7 Regulation of Expression and Mode of Action of Zscan4 Figure 4. Long-term inhibition of Gsk-3 signalling leads to up-regulation of Zscan4 protein expression. A. Wild-type (WT) and Gsk-3
double knock-out (DKO) ESCs cells were grown in the presence or absence of LIF for the times indicated. WT ESCs cultured in the absence of LIF were
also incubated with 2 mM 1 m. Protein and RNA were extracted at the times indicated and immunoblotting performed with the indicated antibodies. B. WT mESCs (CTL) cultured for 24 h in N2B27 plus LIF and BMP4 with or without 2 mM 1 m, or C. WT or DKO ESCs cultured in N2B27 plus LIF and
BMP4, were incubated with Cycloheximide (CHX) to halt protein synthesis. (i) Protein samples were extracted after 0, 1, 3 and 6 hours CHX treatment
and immunoblotting performed with the indicated anti-Zscan4 or GAPDH antibodies. (ii) Zscan4 protein levels were normalised to GAPDH and a
value of 100 was given to the t = 0 samples, to allow direct comparison of half-life values between treatments. The graphs show the average and
S.E.M of triplicate experiments. doi:10.1371/journal.pone.0089821.g004 Figure 4. Long-term inhibition of Gsk-3 signalling leads to up-regulation of Zscan4 protein expression. A. Wild-type (WT) and Gsk-3
double knock-out (DKO) ESCs cells were grown in the presence or absence of LIF for the times indicated. WT ESCs cultured in the absence of LIF were
also incubated with 2 mM 1 m. Protein and RNA were extracted at the times indicated and immunoblotting performed with the indicated antibodies. B. WT mESCs (CTL) cultured for 24 h in N2B27 plus LIF and BMP4 with or without 2 mM 1 m, or C. WT or DKO ESCs cultured in N2B27 plus LIF and
BMP4, were incubated with Cycloheximide (CHX) to halt protein synthesis. Zscan4 expression is elevated in late S-phase/early G2 of
the cell cycle Furthermore, the mean fluorescence intensity
of Emerald-GFP was highest in cells in G2/M (Figure 6A(iii)),
consistent with Zscan4 expression being elevated in cells during
these cell cycle phases. To examine this correlation further, we
induced mitotic arrest of ESCs using Nocodazole and after release
followed both progression through the cell cycle and expression of Zscan4 expression is induced in response to DNA
damage (i) Protein samples were extracted after 0, 1, 3 and 6 hours CHX treatment
and immunoblotting performed with the indicated anti-Zscan4 or GAPDH antibodies. (ii) Zscan4 protein levels were normalised to GAPDH and a
value of 100 was given to the t = 0 samples, to allow direct comparison of half-life values between treatments. The graphs show the average and
S.E.M of triplicate experiments. doi:10.1371/journal.pone.0089821.g004 Regulation of Expression and Mode of Action of Zscan4 These data are consistent with Zscan4c
playing a direct role in regulating transcription and led us to
undertake studies to define Zscan4-interacting proteins in the
nucleus of ESCs, which could assist in further definition of the
mode of action of Zscan4. regulators [53] and while over-expression of Zscan4 has been
shown to lead to changes in expression of ,1000 genes [54], there
is no evidence that it acts directly. To examine the ability of
Zscan4 to act as a regulator of transcription, we used the GAL4-
UAS-luciferase reporter system and generated a series of GAL4-
DNA binding domain-Zscan4c fusions, depicted in Fig. 7A. As a
control for this assay, we also generated a GAL4-DBD-Nanog
fusion. Transient transfection into heterologous HEK293 cells was
performed
with
combinations
of
the
GAL4-UAS-luciferase
reporter
(containing a
synthetic GAL4-UAS
promoter,
see
supplemental Figure S3), GAL4-DBD fusions and Renilla plasmid
to control for transfection efficiency. As shown in Fig. 7B,
compared to the GAL-DBD alone, fusion of the GAL-DBD with
Nanog, the Zscan4c Scan domain alone or full-length Zscan4c,
lead to significant decreases in luciferase activity, consistent with
transcriptional repression. These data are consistent with Zscan4c
playing a direct role in regulating transcription and led us to
undertake studies to define Zscan4-interacting proteins in the
nucleus of ESCs, which could assist in further definition of the
mode of action of Zscan4. V5 epitope tag. Expression of Zscan4c-V5 is under the control of
the Tet-off expression system and as shown in Figure 7D, probing
LSD-1 and CtBP2 immunoprecipitates with either anti-V5 epitope
or anti-pan Zscan4 antibodies, demonstrates the presence of
Zscan4 in those precipitates prepared following Tet-removal,
which induces Zscan4c-V5 expression. Interestingly, the Zscan4-
V5 precipitating with LSD-1 migrates more slowly than that co-
precipitating
with
CtBP2,
suggesting
that
Zscan4
may
be
participating in distinct protein complexes and subjected to post-
translational modification. This is also apparent when LSD-1 and
CtBP2 precipitates are probed with the pan-Zscan4 antibody
(Fig. 7D, lower panel) and in these samples there is also evidence
for precipitation of endogenous Zscan4 in the +Tet samples which
do not over-express Zscan4c-V5. Next we attempted to confirm
these interactions in wild-type ESCs, expressing endogenous levels
of Zscan4 proteins, a considerable challenge based on our
demonstration that less than 1% of the ESC population are
expressing Zscan4. As shown in Figure 7E, Zscan4 can be detected
in both LSD-1 and CtBP2 precipitates prepared from WT E14
ESCs. Regulation of Expression and Mode of Action of Zscan4 Again, LSD-1-associated Zscan4 exhibited slower migration
compared to that associated with CtBP2. It has been suggested
that the SCAN domain mediates dimerisation [27,28,29]. To
examine whether this is the case for Zscan4, we precipitated with
anti-V5 epitope antibodies and examined if endogenous Zscan4
protein could be co-precipitated. Figure 7F shows that endogenous
Zscan4
is
present
in
anti-V5
precipitates,
suggesting
that
exogenously expressed Zscan4c can form dimers with endogenous
Zscan4 proteins. Taken together, using three different cell lines,
these results confirm that Zscan4 proteins are able to form
complexes with LSD-1 and CtBP2 and potentially exist as dimers
within ESCs, providing important new insights into the mode of
action of Zscan4. To facilitate purification of Zscan4c interacting proteins, we
constructed an eGFP-Zscan4c fusion protein, expressed in R1
ESCs under the control of the pTRE-tight, Dox-inducible
expression system (Supplemental Figure S1). Following induction
of eGFP-Zscan4c for 24 h, cytosolic and nuclear extracts were
prepared and affinity purification performed with GFP-TrapA
beads. Induced and un-induced extracts were subjected to the
same procedure and after affinity purification and extensive
washing protein complexes were released and separated by SDS-
PAGE. After staining with Coomassie Blue, protein bands of
approximately 116, 100, 75 and 50 kDa, were consistently
enriched in the material affinity purified from the induced
samples. These proteins were excised and submitted for sequenc-
ing at the University of Bristol Proteomics Facility. Following
proteolytic digestions with trypsin, tandem mass spectrometry was
used to generate peptide mass fingerprints and the Mascot search
engine (Matrix Science) exploited to identify proteins. Following
these analyses, the 116 kDa protein was identified as the lysine
specific demethylase, LSD1, the 100 kDa and 75 kDa proteins as
full-length and truncated versions of eGFP-Zscan4c fusion protein
respectively and the 50 kDa protein as the transcriptional co-
repressor, C-Terminal Binding Protein-2 (CtBP2). Regulation of Expression and Mode of Action of Zscan4 Regulation of Expression and Mode of Action of Zscan4 Figure 5. Zscan4 expression is enhanced in response to DNA damage induction. E14 ESCs were plated in the presence of LIF for 4 h prior
to application of A. Zeocin or B. Cisplatin for 12 h. After this cells were washed extensively and fresh media added. Following a further 8 or 24 h
samples were taken and cells fixed for cell cycle analysis or protein extracted into RIPA buffer. (i) Levels of H2AX phosphorylation at S139 (cH2AX) and
Zscan4 protein expression were examined by immunoblotting. (ii) Zscan4 protein expression normalized to GAPDH is shown. (iii) The percentage of
cells in G2/M phase of the cell cycle are shown for different samples. C. (i) The percentage of Zscan4 positive cells were determined after 24 h
treatment with the indicated doses of Zeocin. (ii) The effect of inhibition of PI3Ks by LY294002 (LY, 5 mM) on the ability of Zeocin to induce Zscan4
expression was examined following 24 h treatment (12.5 mg/ml). In each case the mean and SEM are shown. *, p,0.05, **, p,0.005, ***, p,0.0005
following an ANOVA and Tukey’s post-hoc test. D. (i) E14 ESCs were co-stained for cH2AX and Zscan4 and the mean fluorescence intensity of cH2AX
staining determined for Zscan4 positive and negative populations using Cell-P (Olympus). ***, p,0.0005, in a Student’s t-test. Representative images
are shown in (ii). doi:10 1371/journal pone 0089821 g005 doi:10.1371/journal.pone.0089821.g005 regulators [53] and while over-expression of Zscan4 has been
shown to lead to changes in expression of ,1000 genes [54], there
is no evidence that it acts directly. To examine the ability of
Zscan4 to act as a regulator of transcription, we used the GAL4-
UAS-luciferase reporter system and generated a series of GAL4-
DNA binding domain-Zscan4c fusions, depicted in Fig. 7A. As a
control for this assay, we also generated a GAL4-DBD-Nanog
fusion. Transient transfection into heterologous HEK293 cells was
performed
with
combinations
of
the
GAL4-UAS-luciferase
reporter
(containing a
synthetic GAL4-UAS
promoter,
see
supplemental Figure S3), GAL4-DBD fusions and Renilla plasmid
to control for transfection efficiency. As shown in Fig. 7B,
compared to the GAL-DBD alone, fusion of the GAL-DBD with
Nanog, the Zscan4c Scan domain alone or full-length Zscan4c,
lead to significant decreases in luciferase activity, consistent with
transcriptional repression. Zscan4 can modulate transcription and interacts with co-
repressor complexes in undifferentiated ESCs To understand the mechanism of action of Zscan4 in regulation
of ESC fate, particularly how this may relate to a specific role
during G2, we investigated the ability of Zscan4 to act as a
regulator of transcription. Other Scan-domain and zinc finger
containing proteins have been shown to act as transcriptional March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org 8 Regulation of Expression and Mode of Action of Zscan4 Re g
p PLOS ONE | www.plosone.org
9 March 2014 | Volume 9 | Issue 3 | e89821 March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org PLOS ONE | www.plosone.org 9 Discussion The cell cycle distribution of GFP negative and positive populations are presented, the mean and
SEM are shown (n = 3). *, p,0.05, **, p,0.005, ***, p,0.0005, in a Student’s t-test. (iii) The mean fluorescence intensity of the GFP positive (Zscan4c
expressing) cells distributed in the different cell cycle phases. In each case the mean and SEM are shown. *, p,0.05, **, p,0.005, ***, p,0.0005
following an ANOVA and Tukey’s post-hoc test. B. E14 ESCs were cultured in LIF and treated with 100 ng/ml Nocodazole for 12 h to induce mitotic
arrest. Following release from the block, cell cycle analyses ((i), (ii) and (iii)) and immunoblotting, to detect Zscan4 protein expression (iv) were
performed at the times indicated (n = 3). Mean and SEM are shown on the graphs. Zscan4 protein expression was normalised to GAPDH ((iv), lower
panel). doi:10.1371/journal.pone.0089821.g006
Regulation of Expression and Mode of Action of Zscan4 Figure 6. Zscan4 expression is enhanced in late S/early G2 phase of the cell cycle. A. (i) The proportion of Zscan4 positive cells appearing
as individual single cells or in proximity with one, two or three other Zscan4 positive cells were determined. Mean and SEM are shown. Average
frequency of Zscan4 positive cells was 0.4%. (ii) ZE3-MC1 ESCs were grown in the presence of LIF for 48 h, trypsinised and Nuclear-ID Red (Enzo) used
to stain cellular DNA. Cells were analysed by flow cytometry and G1, S and G2/M gates were assigned to the population based on DNA content and
using a Nocodazole treated sample as a reference. The cell cycle distribution of GFP negative and positive populations are presented, the mean and
SEM are shown (n = 3). *, p,0.05, **, p,0.005, ***, p,0.0005, in a Student’s t-test. (iii) The mean fluorescence intensity of the GFP positive (Zscan4c
expressing) cells distributed in the different cell cycle phases. In each case the mean and SEM are shown. *, p,0.05, **, p,0.005, ***, p,0.0005
following an ANOVA and Tukey’s post-hoc test. B. E14 ESCs were cultured in LIF and treated with 100 ng/ml Nocodazole for 12 h to induce mitotic
arrest. Following release from the block, cell cycle analyses ((i), (ii) and (iii)) and immunoblotting, to detect Zscan4 protein expression (iv) were
performed at the times indicated (n = 3). Mean and SEM are shown on the graphs. Zscan4 protein expression was normalised to GAPDH ((iv), lower
panel). Discussion The Zscan4 family of genes have been implicated in the control
of early development [26], ESC pluripotency [24] and genome
stability/integrity [25], but their regulation and mode of action
remain enigmatic. Here we demonstrate that Zscan4c, 4f and ps2
are the most abundant and consistently expressed members of this
family, but despite this, expression of Zscan4 protein is restricted
to between only 0.1 and 0.7% of ESCs. Significantly, Zscan4
expression was found to be highest in cells transiting late S-phase/
early G2 of the cell cycle and we show that DNA damage-inducing
agents lead to enhancement of Zscan4 expression, corresponding
with accumulation of cells in G2/M. Together these data suggest
that Zscan4 plays a selective role in ESCs during G2. Our
demonstration that Zscan4 can directly regulate transcription and
exists in complexes with LSD-1 and CtBP2 sheds new and
important light on its mode of action. These findings lead us to
suggest that the Zscan4 family of genes represents an intriguing
paradigm for factors that regulate the ESC state. To confirm these Zscan4 protein-protein interactions we first
assessed interaction of Zscan4c with LSD-1 and CtBP2 in the
eGFP-Zscan4c fusion expressing ESCs. As shown in Figure 7C,
the GFP-TrapA beads precipitate the GFP-Zscan4c fusion protein
and co-precipitate both LSD-1 and CtBP2 in samples prepared
following Dox-induction of eGFP-Zscan4c expression. Further-
more, following immunoprecipitation of LSD-1, eGFP-Zscan4c
can be detected in Dox-induced samples. CtBP2 has been reported
to form complexes with LSD-1 and we confirm this in mESCs, as
CtBP2 is also present in LSD-1 precipitates. We also examined co-
precipitation with a version of Zscan4c containing a C-terminal March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org 10 Regulation of Expression and Mode of Action of Zscan4 Figure 6. Zscan4 expression is enhanced in late S/early G2 phase of the cell cycle. A. (i) The proportion of Zscan4 positive cells appearing
as individual single cells or in proximity with one, two or three other Zscan4 positive cells were determined. Mean and SEM are shown. Average
frequency of Zscan4 positive cells was 0.4%. (ii) ZE3-MC1 ESCs were grown in the presence of LIF for 48 h, trypsinised and Nuclear-ID Red (Enzo) used
to stain cellular DNA. Cells were analysed by flow cytometry and G1, S and G2/M gates were assigned to the population based on DNA content and
using a Nocodazole treated sample as a reference. Discussion Precipitates were separated through 7.5% polyacrylamide gels prior to immunoblotting. Immunoblotting was first performed with anti-Zscan4 antibodies. The blots were then stripped and reprobed with anti-V5 epitope antibodies. Positions of precipitated proteins are indicated. E. Nuclear extracts (Nuc) were prepared from E14 ESCs and precipitates from 200 mg of protein per
sample generated using anti-Zscan4, anti-LSD-1 or anti-CtBP2 antibodies. Precipitates were separated through a 6.5% polyacrylamide gel prior to
immunoblotting and the lanes between the samples were left blank to avoid the potential of any bleed-through. Immunoblotting was performed
with anti-Zscan4 antibodies. Positions of precipitated proteins are indicated. F. ESCs engineered to express a C-Terminally V5 epitope-tagged version
of Zscan4c under the control of the Tet-off expression system were cultured in the presence (+) or absence (2) of Tet for 72 h. Nuclear extracts were
prepared (Nuc) and immunoprecipitates prepared from 80 mg of protein per sample using anti-V5 epitope antibodies. Precipitates were separated
through a 7 5% polyacrylamide gel prior to immunoblotting Immunoblotting was performed with anti-Zscan4 antibodies Positions of precipitated
Regulation of Expression and Mode of Action of Zscan4 Figure 7. Zscan4 acts as a transcriptional regulator and interacts with LSD-1 and CtBP2. A. Schematic showing the structure of GAL4-DNA
binding domain fusions with Zscan4c. B. Plasmids expressing the GAL-4-DNA binding domain fusions indicated were co-transfected into HEK293
cells along with pGL4-GAL4-UAS plasmid and the pRenilla plasmid (to assess transfection efficiency). 48 h after transfection luciferase activity was
determined using Dual-Glo system, according to the manufacturer’s recommendations (Promega). Mean and SEM of 3 independent experiments are
shown. *, p,0.05, **, p,0.005 following an ANOVA and Tukey’s post-hoc test. C. ESCs engineered to express an N-Terminal eGFP-Zscan4c fusion
protein under the control of the pTRE tight Dox-inducible expression system were cultured in the absence (2) or presence (+) of Dox for 72 h. Nuclear extracts were prepared (Nuc) and immunoprecipitates prepared from 80 mg of protein per sample using either GFP-Trap-A beads or anti-LSD-
1 antibodies. Precipitates were divided into two aliquots and separated through 10% polyacrylamide on duplicate gels, prior to immunoblotting. Immunoblotting was performed with anti-GFP, anti-CtBP2 or anti-Zscan4 antibodies, sequentially with one immunoblot. The duplicate immunoblot
was probed with anti-LSD-1 antibodies. Positions of precipitated proteins are indicated. D. Discussion doi:10 1371/journal pone 0089821 g006 doi:10.1371/journal.pone.0089821.g006 doi:10.1371/journal.pone.0089821.g006 0.7%, 10-fold lower than the 5% previously reported [25]. Interestingly, we found this level of expression to be consistent
across a number of mouse ESC lines and also observed with an
iPSC line. We do not think the difference in the proportion of
Zscan4 positive cells detected in our study versus previous studies The very restricted pattern of expression reported for the
Zscan4 family is highly distinctive [25,26], although one caveat to
these previous reports has been that they only measured RNA or
reporter levels. Our data indicate that the proportion of ESCs
within a population expressing Zscan4 protein is between 0.1 and March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org March 2014 | Volume 9 | Issue 3 | e89821 11 Regulation of Expression and Mode of Action of Zscan4 Figure 7. Zscan4 acts as a transcriptional regulator and interacts with LSD-1 and CtBP2. A. Schematic showing the structure of GAL4-DNA
binding domain fusions with Zscan4c. B. Plasmids expressing the GAL-4-DNA binding domain fusions indicated were co-transfected into HEK293
cells along with pGL4-GAL4-UAS plasmid and the pRenilla plasmid (to assess transfection efficiency). 48 h after transfection luciferase activity was
determined using Dual-Glo system, according to the manufacturer’s recommendations (Promega). Mean and SEM of 3 independent experiments are
shown. *, p,0.05, **, p,0.005 following an ANOVA and Tukey’s post-hoc test. C. ESCs engineered to express an N-Terminal eGFP-Zscan4c fusion
protein under the control of the pTRE tight Dox-inducible expression system were cultured in the absence (2) or presence (+) of Dox for 72 h. Nuclear extracts were prepared (Nuc) and immunoprecipitates prepared from 80 mg of protein per sample using either GFP-Trap-A beads or anti-LSD-
1 antibodies. Precipitates were divided into two aliquots and separated through 10% polyacrylamide on duplicate gels, prior to immunoblotting. Immunoblotting was performed with anti-GFP, anti-CtBP2 or anti-Zscan4 antibodies, sequentially with one immunoblot. The duplicate immunoblot
was probed with anti-LSD-1 antibodies. Positions of precipitated proteins are indicated. D. ESCs engineered to express a C-Terminally V5 epitope-
tagged version of Zscan4c under the control of the Tet-off expression system were cultured in the presence (+) or absence (2) of Tet for 72 h. Nuclear
extracts were made (Nuc) and immunoprecipitates prepared from 80 mg of protein per sample using either anti-LSD-1 or anti-CtBP2 antibodies or
protein-A sepharose (PAS) alone as a control. Regulation of Expression and Mode of Action of Zscan4 Given the report that Zscan4 plays a critical role in
telomere elongation and genome integrity in mouse ESCs [25] our
demonstration that agents that damage DNA lead to an
enhancement in Zscan4 expression is consistent with a role for
Zscan4 in genome surveillance and maintenance. The fact that members of the Zscan4 family contain zinc finger
domains has led to the suggestion that they act as transcription
factors [24], as do other members of the SCAN-domain
containing family [53]. Over-expression of Zscan4 in mouse ESCs
has been reported to result in the change in expression of over
1000 genes [54], while inclusion of Zscan4 as a reprogramming
factor for mouse embryo fibroblasts results in the transient
induction of pre-implantation specific genes [33]. Despite these
reports, evidence to support the ability of Zscan4 to directly
regulate transcription has been lacking. Using a heterologous
reporter system, we demonstrate that Zscan4 can act as a
transcriptional regulator. Both full-length Zscan4 and the SCAN
domain alone were able to repress GAL4 binding domain-
mediated reporter expression (Figure 7B). This could be due to the
ability of the SCAN domain to promote dimerisation, as
demonstrated
for
other
SCAN-domain-containing
proteins
[28,29]. Importantly, we provide the first evidence that Zscan4
may act as a dimer, since we show that a V5-epitope-tagged
version of Zscan4 co-precipiates endogenous Zscan4 proteins
(Figure 7F). To gain further insight into the mode of action of
Zscan4, we investigated whether Zscan4 interacted with other
proteins within ESC nuclei. Our analyses revealed two major
interacting proteins -LSD-1 and CtBP2. LSD1 has been reported
to specifically demethylate mono and di-methyl histone H3 at K4
and K9 and thus acts as a co-repressor of transcription. CtBP2
belongs to a class of transcriptional co-repressors that bind to
transcription factors via a PXDLS motif and has been shown to
interact with a range of Zinc finger containing transcriptional
regulators [57,58]. Zscan4c exhibits a PXDLS motif at position
263–268, as do Zscan4 family members, suggesting that each of
them can bind CtBP2. Importantly, both LSD-1 and CtBP2 have
been reported to be components of the CoREST-CtBP repressor
complex [58,59]. Thus, the identification of these two proteins as
Zscan4c interacting partners in ESCs is consistent with the fact
that Zscan4c is a putative regulator of transcription, possibly
involved in repression of transcription. Regulation of Expression and Mode of Action of Zscan4 It has been suggested that
the fact Zscan4 over-expression leads to minor changes in the
transcriptome during early reprogramming events, but major
differences in iPSC outcome, indicates it acts differently to many
other factors and may be involved in epigenetic regulation or
chromatin remodeling [33]. Our finding that Zscan4 interacts
with LSD-1 is consistent with this latter possibility. In future
studies it will be interesting to determine the genes that are directly
targeted by Zscan4 in ESC and iPSCs and compare these to
known targets of LSD-1 and CtBP2. q
g
p
Based on the evidence published to date [24,25,26,33,35,55], it
seems likely that Zscan4 plays multiple roles in pluripotent cells
and we were particularly interested to discover that Zscan4
expression varied at different stages of the cell cycle. Initially our
observation that 45% of Zscan4 positive cells were found in close
proximity to another Zscan4 positive cell led us to consider that
Zscan4 expression may be enriched in cells undergoing mitosis. However, when ESCs were treated with Nocodazole, which leads
to arrest in pro-metaphase, Zscan4 expression was not elevated. Instead, upon release and progression through the cell cycle,
increases in Zscan4 protein levels corresponded with the stage at
which cells transited late S-phase and entered early G2. Further
support for a role of Zscan4 in G2 phase of the cell cycle comes
from our studies examining regulation of Zscan4 expression in
response to DNA damaging agents. Both Zeocin and Cisplatin
induce double-stranded DNA breaks, as measured by an increase
in cH2AX, which lead to cell cycle arrest in G2/M [56]. We
detected the highest levels of Zscan4 induction by Zeocin at the
point when the number of cells in G2/M had increased from 40 to
65%. In the case of Cisplatin, the most significant elevation in
Zscan4 expression was observed with the highest dose of Cisplatin
we used following a 24 h recovery phase. At this same time point,
the proportion of cells in G2/M had increased from 40 to 57%. While we had initially assessed cell cycle profiles of these cells to
gauge the ESC response to DNA damage-inducing agents, these
data provide additional evidence to support the fact that Zscan4
expression is preferentially increased during G2-phase of the cell
cycle. Regulation of Expression and Mode of Action of Zscan4 In addition, this is the same reporter
line used by the Ko group [25] but we record fewer Zscan4
positive cells than previously reported. In view of this, it may be
that Zscan4 expression is influenced by variation in culture
conditions, although when we evaluated this no clear factors
emerged. Alternatively, we may have set more stringent thresholds
for detection of Zscan4 protein expression, which would have
decreased the number of positive cells scored. Nevertheless, it is
clear from previous work and the new data that we report here
that Zscan4 is expressed by only a small proportion of ESCs in
culture. Such a restricted pattern of expression is quite unprec-
edented in the ESC field and leads to the question of how Zscan4
expression is regulated. Of relevance here is a recent study that has
reported the identification of a rare and transient population of
cells within ESC cultures that share properties and expression
profiles with two-cell stage embryos [55]. This is interesting from
the point of view of the Zscan4 family, since Zscan4d was first
identified as a gene whose expression was elevated during zygotic
genome activation and highly expressed in 2-cell stage embryos
[26]. Macfarlan et al., report that many of the ‘2C’ transcripts
detected in this transient sub-population of ESCs are initiated
from the LTRs of endogenous retroviruses, including those of
Zscan4 [55]. Thus, it is possible that activation of these
endogenous retroviral elements play a role in establishing the
highly restricted pattern of expression of Zscan4 proteins within
ESC populations. Furthermore, it is tempting to speculate that
Zscan4 is a marker of this rare and transient ‘2C’ stem cell
population and given that RNAi knock-down of Zscan4 leads to
arrest of 2-cell embryo development [26], it could play an
important functional role in this rare cell population. However,
alternative explanations for the restricted pattern of expression of
Zscan4 also need to be considered and explored, including auto-
regulatory or oscillatory-based mechanisms. Further work will be
required to distinguish between these possibilities. Zscan4 expression do not follow the profile of cH2AX detection,
indicating Zscan4 up-regulation is not an early response to DNA
damage. Discussion ESCs engineered to express a C-Terminally V5 epitope-
tagged version of Zscan4c under the control of the Tet-off expression system were cultured in the presence (+) or absence (2) of Tet for 72 h. Nuclear
extracts were made (Nuc) and immunoprecipitates prepared from 80 mg of protein per sample using either anti-LSD-1 or anti-CtBP2 antibodies or
protein-A sepharose (PAS) alone as a control. Precipitates were separated through 7.5% polyacrylamide gels prior to immunoblotting. Immunoblotting was first performed with anti-Zscan4 antibodies. The blots were then stripped and reprobed with anti-V5 epitope antibodies. Positions of precipitated proteins are indicated. E. Nuclear extracts (Nuc) were prepared from E14 ESCs and precipitates from 200 mg of protein per
sample generated using anti-Zscan4, anti-LSD-1 or anti-CtBP2 antibodies. Precipitates were separated through a 6.5% polyacrylamide gel prior to
immunoblotting and the lanes between the samples were left blank to avoid the potential of any bleed-through. Immunoblotting was performed
with anti-Zscan4 antibodies. Positions of precipitated proteins are indicated. F. ESCs engineered to express a C-Terminally V5 epitope-tagged version
of Zscan4c under the control of the Tet-off expression system were cultured in the presence (+) or absence (2) of Tet for 72 h. Nuclear extracts were
prepared (Nuc) and immunoprecipitates prepared from 80 mg of protein per sample using anti-V5 epitope antibodies. Precipitates were separated
through a 7.5% polyacrylamide gel prior to immunoblotting. Immunoblotting was performed with anti-Zscan4 antibodies. Positions of precipitated
proteins are indicated. doi:10.1371/journal.pone.0089821.g007 March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org 12 Regulation of Expression and Mode of Action of Zscan4 Regulation of Expression and Mode of Action of Zscan4 is due to post-transcriptional regulation, since we saw a robust
correlation between reporter expression in the ZE3-MC1 line and
detection of Zscan4 protein. In addition, this is the same reporter
line used by the Ko group [25] but we record fewer Zscan4
positive cells than previously reported. In view of this, it may be
that Zscan4 expression is influenced by variation in culture
conditions, although when we evaluated this no clear factors
emerged. Alternatively, we may have set more stringent thresholds
for detection of Zscan4 protein expression, which would have
decreased the number of positive cells scored. Nevertheless, it is
clear from previous work and the new data that we report here
that Zscan4 is expressed by only a small proportion of ESCs in
culture. Such a restricted pattern of expression is quite unprec-
edented in the ESC field and leads to the question of how Zscan4
expression is regulated. Of relevance here is a recent study that has
reported the identification of a rare and transient population of
cells within ESC cultures that share properties and expression
profiles with two-cell stage embryos [55]. This is interesting from
the point of view of the Zscan4 family, since Zscan4d was first
identified as a gene whose expression was elevated during zygotic
genome activation and highly expressed in 2-cell stage embryos
[26]. Macfarlan et al., report that many of the ‘2C’ transcripts
detected in this transient sub-population of ESCs are initiated
from the LTRs of endogenous retroviruses, including those of
Zscan4 [55]. Thus, it is possible that activation of these
endogenous retroviral elements play a role in establishing the
highly restricted pattern of expression of Zscan4 proteins within
ESC populations. Furthermore, it is tempting to speculate that
Zscan4 is a marker of this rare and transient ‘2C’ stem cell
population and given that RNAi knock-down of Zscan4 leads to
arrest of 2-cell embryo development [26], it could play an
important functional role in this rare cell population. However,
alternative explanations for the restricted pattern of expression of
Zscan4 also need to be considered and explored, including auto-
regulatory or oscillatory-based mechanisms. Further work will be
required to distinguish between these possibilities. is due to post-transcriptional regulation, since we saw a robust
correlation between reporter expression in the ZE3-MC1 line and
detection of Zscan4 protein. (TIF) Figure
S5
Assigning
Zscan4
gene
transcripts. The
transcript sequence from each Zscan4 gene was obtained from
the NCBI database. These were aligned and distinguished based
on the identification of SNPs – highlighted in black in the
schematic. Sequenced Zscan4 cDNAs derived from E14tg2a or
CCE cell lines (numbers assigned based on position in 96-well tray,
e.g. E11, C07 as shown) were edited and added to this alignment. Sequences were assigned to a Zscan4 gene based on the
distinguishing SNPs each contained. As an example, the 5 SNPs
used to identify Zscan4a transcripts are shown. Sequence data
were edited and aligned using Sequencher (GeneCodes). (TIF) 1. Young RA (2011) Control of the Embryonic Stem Cell State. Cell 144: 940–954.
2. Boiani M, Schoeler HR (2005) Regulatory networks in embryo-derived
pluripotent stem cells. Nat Rev Mol Cell Biol 6: 872–881. Supporting Information Anti-V5 antibody was used to detect
Zscan4c-V5 protein (red). Cell nuclei were counter-stained with
DAPI (blue). (ii) Zscan4c-V5-His-Tet-off inducible mESC (clone
45) were grown in the presence and absence of Tet. Cytosolic and
nuclear proteins were separated and immunoblotting performed
with anti-V5, anti-TBP (predominantly nuclear) and anti-GAPDH
(predominantly cytosolic) antibodies. Table S1
Primer sequences used for quantitative RT-PCR. (DOCX) Table S2
Primer sequences used for construction of Gal4-
Zscan4 fusion transcriptional reporters. (DOCX) Author Contributions Conceived and designed the experiments: MPS BK HKB MB YSR JBC
HN DT MJW. Performed the experiments: MPS BK HKB MB YSR
MJW. Analyzed the data: MPS BK HKB MB YSR HN MJW. Contributed reagents/materials/analysis tools: HN DT. Wrote the paper:
MPS BK HKB MJW. Conceived and designed the experiments: MPS BK HKB MB YSR JBC
HN DT MJW. Performed the experiments: MPS BK HKB MB YSR
MJW. Analyzed the data: MPS BK HKB MB YSR HN MJW. Contributed reagents/materials/analysis tools: HN DT. Wrote the paper:
MPS BK HKB MJW. 5. Boeuf H, Hauss C, Graeve FD, Baran N, Kedinger C (1997) Leukemia
inhibitory factor-dependent transcriptional activation in embryonic stem cells.
J Cell Biol 138: 1207–1217. Regulation of Expression and Mode of Action of Zscan4 Furthermore, it is worth noting that temporal changes in Our expression data indicate that three Zscan4 genes are most
abundantly expressed in ESCs, namely Zscan4c, 4f and ps2. Zscan4-ps2 has previously been characterized as a pseudogene,
primarily based on the fact that in a previous study no ps2
transcripts were detected in mouse ESCs [26], although in contrast
our data indicate Zscan4-ps2 transcripts can be detected in mouse
ESCs. Given the close relationship between Zscan4c, 4f and ps2
(Fig. 1B), it is intriguing that these should consistently be the most
highly expressed in different ESCs lines, but argues for a
predominant role of their gene products. Also worth noting is
the fact that the p110a isoform of PI3Ks plays the predominant
role in regulating Zscan4 expression, supported by both loss and March 2014 | Volume 9 | Issue 3 | e89821 PLOS ONE | www.plosone.org 13 Regulation of Expression and Mode of Action of Zscan4 Regulation of Expression and Mode of Action of Zscan4 gain of function studies (Figure 3). We have previously implicated
p110a PI3K in regulation of ESC proliferation [48,60], which
complements with the findings we report here relating to Zscan4
expression and the cell cycle. PI3K signaling is one of the
pathways that regulate activity of Gsk-3. Surprisingly, given its role
in the ground state of ESC pluripotency, short-term inhibition of
Gsk-3-dependent signaling did not lead to increased Zscan4
protein expression, whereas a sustained lack of Gsk-3 activity did. However, no significant increase in the proportion of Zscan4
positive cells was detected in Gsk-3 double knock-out ESCs (data
not shown). Figure S3
The sequence (59-39) of the synthetic GAL4-UAS
promoter used to drive luciferase expression in this study. The
strands were mixed, heated to 95uC and cooled before being
ligated into pGL4.26 (Promega). (TIF) gain of function studies (Figure 3). We have previously implicated
p110a PI3K in regulation of ESC proliferation [48,60], which
complements with the findings we report here relating to Zscan4
expression and the cell cycle. PI3K signaling is one of the
pathways that regulate activity of Gsk-3. Surprisingly, given its role
in the ground state of ESC pluripotency, short-term inhibition of
Gsk-3-dependent signaling did not lead to increased Zscan4
protein expression, whereas a sustained lack of Gsk-3 activity did. However, no significant increase in the proportion of Zscan4
positive cells was detected in Gsk-3 double knock-out ESCs (data
not shown). Figure S4
Zscan4 antibody specificity. ESCs engineered to
express a C-terminally V5 epitope-tagged version of Zscan4c
under the control of the Tet-off expression system were cultured in
the presence (+) or absence (2) of Tet for 48 h when nuclear (Nuc)
and cytoplasmic (Cyto) protein extracts were prepared. A. Cytosolic and nuclear extracts were separated by SDS-PAGE
and duplicate blots prepared. A 1:2000 dilution of anti-Zscan4
anti-peptide antibody was incubated with or without 1 mg/ml
blocking peptide for 1 h prior to being used for immunoblotting. B. Immunoprecipitates were prepared from (i) 1 mg of cytosolic
or (ii) 80 mg of nuclear protein extract per sample using either
protein-A sepharose (PAS) bead alone or together with 2 mg anti-
Zscan4 antibody. Precipitates were separated through 7.5%
polyacrylamide gels prior to immunoblotting. Immunoblotting
was performed with anti-V5 epitope (upper panels) or anti-Zscan4
(lower panels) antibodies. Positions of precipitated proteins are
indicated by the arrows. (TIF) Figure S4
Zscan4 antibody specificity. 4. Silva J, Smith A (2008) Capturing pluripotency. Cell 132: 532–536.
5. Boeuf H, Hauss C, Graeve FD, Baran N, Kedinger C (1997) Leukemia
inhibitory factor dependent transcriptional activation in embryonic stem cells Supporting Information Figure S1
Establishment and characterisation of eGFP-
Zscan4c-Tet-on inducible ESC lines. A. Schematic of the
GFP-Zscan4c fusion protein generated. B. Following induction
with 1 mg/ml doxycycline for the times indicated (in hours, h),
nuclear lysates were prepared from eGFP-Zscan4c ESCs and
immunoblotted with an anti-GFP antibody. Blots were stripped
and re-probed with an anti-TBP antibody to assess the equality of
protein loading. C. Quantitative RT-PCR was used to confirm
induction of Zscan4c expression normalised to b-actin levels. D. Fluorescent images showing expression of eGFP-Zscan4c (green)
after addition of doxycycline for the times indicated. (TIF) Figure S6
Regulation of Zscan4 by the p110a catalytic
subunit of PI3K. E14tg2a cells were treated with either A. 5 mM
LY294002 or 600 nM Compound 15e or B. 5 mM LY294002,
10 mM TGX-121, 5 mM IC87114 or 1 nM Rapamycin. RNA was
extracted 48 h after inhibitor treatment, quantitative RT-PCR
was performed and Zscan4 expression normalised relative to b-
actin levels. Graphs show standard deviation and are representa-
tive of three experimental repeats. Figure
S2
Establishment
and
characterisation
of
Zscan4c-V5-His Tet-off inducible ESC lines. A. Immuno-
blots showing induction of Zscan4c-V5-His protein (clone 43)
upon withdrawal of tetracycline (tet) detected with anti-V5
antibody. (i) Expression 24 h after induction in the presence of
different concentrations of LIF (indicated in U/ml). (ii) Expression
of Zscan4c-V5-His was maintained over a time-course of 120 h. Immunoblots were stripped and re-probed with Oct-4 antibody. B. (i) Localisation of Zscan4c-V5-His protein was assessed by
immunostaining of Tet-off inducible cell lines grown in the
absence of tetracycline. Anti-V5 antibody was used to detect
Zscan4c-V5 protein (red). Cell nuclei were counter-stained with
DAPI (blue). (ii) Zscan4c-V5-His-Tet-off inducible mESC (clone
45) were grown in the presence and absence of Tet. Cytosolic and
nuclear proteins were separated and immunoblotting performed
with anti-V5, anti-TBP (predominantly nuclear) and anti-GAPDH
(predominantly cytosolic) antibodies. Figure
S2
Establishment
and
characterisation
of
Zscan4c-V5-His Tet-off inducible ESC lines. A. Immuno-
blots showing induction of Zscan4c-V5-His protein (clone 43)
upon withdrawal of tetracycline (tet) detected with anti-V5
antibody. (i) Expression 24 h after induction in the presence of
different concentrations of LIF (indicated in U/ml). (ii) Expression
of Zscan4c-V5-His was maintained over a time-course of 120 h. Immunoblots were stripped and re-probed with Oct-4 antibody. B. (i) Localisation of Zscan4c-V5-His protein was assessed by
immunostaining of Tet-off inducible cell lines grown in the
absence of tetracycline. 4. Silva J, Smith A (2008) Capturing pluripotency. Cell 132: 532–536.
5. Boeuf H, Hauss C, Graeve FD, Baran N, Kedinger C (1997) Leukemia
inhibitory factor-dependent transcriptional activation in embryonic stem cells.
J Cell Biol 138: 1207–1217. 3. Pera MF, Tam PP (2010) Nature 465: 713–720. . Silva J, Smith A (2008) Capturing pluripotency. Cell 132: 532–536 Regulation of Expression and Mode of Action of Zscan4 ESCs engineered to
express a C-terminally V5 epitope-tagged version of Zscan4c
under the control of the Tet-off expression system were cultured in
the presence (+) or absence (2) of Tet for 48 h when nuclear (Nuc)
and cytoplasmic (Cyto) protein extracts were prepared. A. Cytosolic and nuclear extracts were separated by SDS-PAGE
and duplicate blots prepared. A 1:2000 dilution of anti-Zscan4
anti-peptide antibody was incubated with or without 1 mg/ml
blocking peptide for 1 h prior to being used for immunoblotting. B. Immunoprecipitates were prepared from (i) 1 mg of cytosolic
or (ii) 80 mg of nuclear protein extract per sample using either
protein-A sepharose (PAS) bead alone or together with 2 mg anti-
Zscan4 antibody. Precipitates were separated through 7.5%
polyacrylamide gels prior to immunoblotting. Immunoblotting
was performed with anti-V5 epitope (upper panels) or anti-Zscan4
(lower panels) antibodies. Positions of precipitated proteins are
indicated by the arrows. (TIF) Based on previously published studies and the results we present
here, we would like to suggest that the Zscan4 family represents an
intriguing paradigm for regulators of the for ESC state. Multiple,
closely related Zscan4 genes are co-expressed by ESCs, but despite
this Zscan4 protein is detected in less than 1% of ESCs. Zscan4
expression is higher in cells in late S/early G2-phase of the cell
cycle, consistent with it playing a role during the G2 checkpoint
and genome stability. Related to this we have demonstrated that
Zscan4 acts as a regulator of transcription and interacts with LSD-
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An Expanding Culture of Control? The Municipal Administrative Sanctions Act in Belgium
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European journal on criminal policy and research
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cc-by
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An expanding culture of control? The municipal
administrative sanctions Act in Belgium
Devroe, E.; Bruinsma, G.; Vander Beken, T. Citation
Devroe, E., Bruinsma, G., & Vander Beken, T. (2016). An expanding
culture of control? The municipal administrative sanctions Act in
Belgium. European Journal On Criminal Policy And Research, 23(1),
59-76. doi:10.1007/s10610-016-9321-2 Citation
Devroe, E., Bruinsma, G., & Vander Beken, T. (2016). An expanding
culture of control? The municipal administrative sanctions Act in
Belgium. European Journal On Criminal Policy And Research, 23(1),
59-76. doi:10.1007/s10610-016-9321-2 Citation Version:
License:
Downloaded from: Publisher's Version
Creative Commons CC BY 4.0 license
https://hdl.handle.net/1887/42121 Version: License: Note: To cite this publication please use the final published version
(if applicable). Eur J Crim Policy Res
DOI 10.1007/s10610-016-9321-2 An Expanding Culture of Control?
The Municipal Administrative Sanctions Act in Belgium Elke Devroe1
& Gerben Bruinsma2 &
Tom Vander Beken3 # The Author(s) 2016. This article is published with open access at Springerlink.com Abstract This article provides an in-depth study of the Act on Municipal Administrative
Sanctions 1999 (MAS), which is the first major piece of legislation regulating antisocial
behaviour in Belgium. MAS provides municipalities with an instrument to sanction antisocial
behaviour and conduct perceived to disturb public order. The article uses Garland’s (2001)
thesis on the culture of control to analyse whether MAS has led to increased government control
and the exclusion of significant groups of the population. The research is based on a multiple
case study in which the application of MAS was analysed over a 25-year period of security
policies in Belgium (1985–2010). The Act’s implementation was studied in the two Belgian
cities of Antwerp and Liège in order to consider the influence of the Flemish government and
the Walloon government, respectively, in this policy area. The article uses insights from this
comparison to revisit the culture of control thesis and its limitations in understanding the
political competition that exists over the formulation of policies on antisocial behaviour. Keywords Policing public space . Incivilities . Police . Administrative sanctions . Culture of
control . Antisocial behaviour * Elke Devroe
e.devroe@fgga.leidenuniv.nl Introduction In 1999 Belgium introduced the Act on Municipal Administrative Sanctions (MAS), which
enabled municipalities to control antisocial behaviour through the imposition of administrative, * Elke Devroe
e.devroe@fgga.leidenuniv.nl 1
Institute of Security and Public Affairs, Department of Governance and Global Affairs, Leiden
University, Leiden, The Netherlands 1
Institute of Security and Public Affairs, Department of Governance and Global Affairs, Leiden
University, Leiden, The Netherlands 2
Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), Amsterdam,
The Netherlands 2
Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), Amsterdam,
The Netherlands 3
Department of Criminology, Criminal Law and Social Law, Ghent University, Gent, Belgium 3
Department of Criminology, Criminal Law and Social Law, Ghent University, Gent, Belgium E. Devroe et al. rather than criminal, sanctions. To some extent, this framework is comparable to legal
initiatives in other countries (see, e.g. Devroe 2012b; Di Ronco and Peršak 2014; Crawford
2008, 2009; De Maillard 2002; Melossi and Selmini 2000; Frevel 2015). This article discusses
the origins and development of this approach during the period 1985–2010. The more recent
Municipal Administrative Sanctions Act of 2014 is therefore not included within the scope of
this research.1 In particular, the article considers the political context of the introduction of
MAS, its objectives, underlying policy presumptions and moral entrepreneurs. Furthermore,
the implementation of MAS is examined in two case studies, namely, the municipalities of
Antwerp and Liège. This article seeks to answer the question: BCan the development of law on antisocial
behaviour in Belgium be explained in terms of Garland’s culture of control thesis?^
Garland’s thesis on the sociology of punishment in the Anglo American context, as
presented in the book Culture of Control (2001), is used as a starting point for interpreting
the origins and subsequent development of policy responses to antisocial behaviour in
Belgium, given the influence of this thesis on other accounts of contemporary crime
control in Western European countries (Boutellier 2007; Daems 2009; Snacken 2007;
Swaaningen 2005). Garland’s (2001) work initiated the debate on the relative importance
of social forces associated with the onset of late or postmodernity and of local factors in
determining penal policy, also framed as the punitive turn (Daems 2008), penal regression
(Radzinowicz 1991), pénalisation du social (Mary 1997, 2005), penal temptation
(Wacquant 1998, 2004), new punitiveness (Pratt et al. 2005), actuarial justice (Feeley
and Simon 1992, 1994) and risk justice and management (Swaaningen 1996). Introduction In this article Garland’s thesis is used to draw out the broader questions and themes implied
by the introduction of MAS, specifically whether the political imperative for authorities to
appear tough and present a punitive display, whilst pursuing more pragmatic measures for
managing crime and civil unrest works as an explanation of the origins and subsequent
application of MAS. The article therefore outlines the potential significance of Garland’s
thesis and how it was used to design a multiple case study of the application of MAS in
Antwerp and Liège. The results of the case study are then presented, followed by concluding
thoughts on the explanatory value and generalizability of Garland’s thesis. 1 See: Devroe 2016; Cops and Pleysier 2014; Bauwens et al. 2016. David Garland’s culture of control We analysed the social and political context of MAS, the Belgian law on antisocial
behaviour. Did MAS originate in a fear of crime, as suggested in Garland’s thesis? 1. We analysed the social and political context of MAS, the Belgian law on antisocial
behaviour. Did MAS originate in a fear of crime, as suggested in Garland’s thesis? 2. We focused on the moral entrepreneurs of MAS in Belgium: Were they the professional
groups who once dominated the policy-making processes but are increasingly disenfranchised
as policy comes to be formulated by political action committees and political advisers (Garland
2001, p. 13)? Was MAS the result of existing ideological and reforming political powers or a
product of new institutional arrangements developed as problem-solving devices to deal with
Bthe practical experience of government agencies and their constituencies^ (Garland 2001, p. 72)? 3. We studied the policy presumptions underlying the regulation of disorder that could be
situated between an expressive/symbolic dimension of the criminology of the other (acting
out) or denial—both control dimensions (Garland 2001). Are criminologies of everyday life
(rational choice, routine activity or opportunity theories) present in the policy assumptions of
Belgian policy makers? 4. We wanted to learn more about the objectives of MAS: Are they the result of a new and
urgent emphasis upon the need for security (Garland 2001, p. 13), or are they the result of
Bmodest improvements at the margin, the better management of risks and resources, reduction
of the fear of crime, reduction of criminal justice expenditure, greater support for crime
victims, more expressive penal measures [that] have become the new policy objectives, as
policy analysts deem it more realistic to deal with the effects of crime rather than address the
thing itself^ (Garland 2001, p. 109)? 5. We wanted to understand the implementation of MAS at the local level and the social
reactions of local institutions towards antisocial behaviour: Which different antisocial behav-
iour measures were taken, and how were they implemented? We sought to analyse Garland’s
statement that Bmeasures of expulsion and exclusion go hand in hand with the development of
a network of preventative partnerships at local levels by patient, ongoing, low-key efforts to
build up the internal controls of neighbourhoods and to encourage communities to police
themselves^ (Garland 2001, p. 17), the latter being an element in the adaptive strategy
(Swaaningen 2004). David Garland’s culture of control As this article explores governmental regulation of disorder, Garland’s analysis of govern-
mental response to late modern issues of insecurity regarding crime is highly relevant. Central
to his culture of control thesis is an analysis of governmental response to disorder and, in
particular, the policy predicament. This can be observed as a contradictory mix of measures
(see also O’Malley 1999), with on the one hand punitive segregation (control and exclusionary
measures) and on the other preventative partnerships and increased informal control by the
community. This policy of bifurcation contains no polarization (meaning a sensu stricto
governmental response) but a simultaneous performance of contradictory tendencies. Garland
identifies the crime-prone society as a main cause of this ambivalent reaction, clustering two
basic strategies: the adaptive strategy and the sovereign state strategy. In this context Garland
adheres to the fear of crime thesis: the adaptive strategy supposes that the government has to An Expanding Culture of Control? adapt to the reality of high crime rates and manage them; the sovereign state strategy denies
that the government has lost its grip and constitutes the core of the control theory, with
reactions of denial and acting out. Furthermore, he states that the emergence of a culture of
control depends on the context of the crime situation and political context, policy assump-
tions, moral entrepreneurs (advocates, stakeholders) and objectives and criminological
theories behind late modern law enforcement. He identifies the loss of penal welfarism in
favour of retribution and deterrence as one of the main causes. The welfare mode became
more risk prone and offence oriented, and control theories such as the criminologies of
everyday life and the criminology of the other began to dominate criminological discourse. Last but not least, the economic style of reasoning and the neoliberal way of thinking are,
according to Garland, the main causes of an expanding culture of control. Despite the fact
that Garland does not fully expand on the consequences of his thesis for local security
governance, his analysis of preventative partnerships is important for framing the empir-
ical results in this article. He places these partnerships within the control framework
(Daems 2009) and depicts them as a mix of informal social controls embedded in everyday
activities and the interactions of civic society. We conclude this section with five research
questions that are addressed in the article: 1. Methods and data collection The research is a multiple case-study design with triangulation of methods. We wanted to
obtain an insight into how and why MAS emerged and was implemented (Orum and Feagin
1991), and a detailed understanding of the institutional political contexts, cultures, historical
traditions and governmental arrangements (Newburn et al. 2002). As Belgium has a very
specific constitutional/legal setting, it is important to examine general theses about crime
control, such as Garland’s, with reference to the control policies that apply in the different
regions of Belgium [the political specificity of the environment (Mcara 2005)], on the
presumption that the politics of this regional, subnational government will help to explain
the origins and development of these policies. Belgium has about 11 million residents, multiple language regions (60 % Flemish speakers,
40 % French speakers and a small proportion of German speakers) and five large municipal-
ities.2 Since the state reform of 1970, Belgium consists of three linguistic regions, 11
provinces, 27 judicial districts and 589 municipalities. As a consequence of the state reform
in 1988, Belgium became a federal state. Given this historical evolution of the Belgian federal
state and its division into and enmities between Flemish/Dutch-, German- and French-
speaking community councils and the regional governments of Flanders, Wallonia and
Brussels-Capital, these regional authorities have developed different approaches to local
security (Devroe 2013). The Flemish Region consists of 308 municipalities, the Brussels-
Capital Region 19 and the Walloon Region 262, each steered by the mayor who directs the
(local) police to act in close contact with the citizens and to practise community policing
(Devroe 2013). A key consequence of the 1988 federal constitution has been a power shift
from national to regional and municipal authorities (Devroe 2013). Only a few policy domains
remained exclusively within federal government competence, such as the maintenance of
public order (police) and law enforcement (justice). Competencies relating to social policy—
more specifically, education, employment, health, living conditions, culture, housing, spatial
planning—became the responsibility of the regional governments. Because the causes of crime
are often situated in regional policy domains, we included regional policy issues in our
analysis. Whilst federal and regional authorities retain responsibility for formulating stated
goals on security policy, policy implementation (policing in action) (Wodak 2011) became the
responsibility of the municipalities (Devroe and Ponsaers 2005). David Garland’s culture of control This last question will be answered by analysing the local case studies
in Antwerp and Liège. E. Devroe et al. 2 Antwerp and Ghent (Flemish speaking), Charleroi and Liège (French speaking), and Brussels (both languages).
3 Renewed by the New Communal Law (Nieuwe Gemeentewet), B.S., 3 September 1988. p
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3 Renewed by the New Communal Law (Nieuwe Gemeentewet), B.S., 3 September 1988. ntwerp and Ghent (Flemish speaking), Charleroi and Liège (French speaking), and Brussels (both languages).
enewed by the New Communal Law (Nieuwe Gemeentewet), B.S., 3 September 1988. 2 Antwerp and Ghent (Flemish speaking), Charleroi and Liège (French speaking), and Brussels (both l
3 Methods and data collection To draw upon a classic
distinction between steering and rowing made in the study of governance (Osborne and
Gaebler 1993), regional authorities steer social policy responses (policy formulation, e.g. agenda setting, allocation of resources) to quality of life issues; federal authorities steer law
enforcement and maintenance of public order; municipal authorities are obliged to row (i.e. implement) both criminal justice and social policy approaches. Consequently, it is at the
municipal level that these competing federal and regional responses are negotiated and then
executed (Devroe 2015b). In Belgium, the mayor is an independent political figure in each
municipality, and Belgian mayors are—like their French counterparts—in charge of and
responsible for public order, public peace, security and public health. The mayor can establish
general police regulations in his/her municipality and recruit the public police (called admin-
istrative police) to determine and record violations. The Communal Act of 30 April 18363
created an extensive legislative municipal framework to tackle problems of public disorder An Expanding Culture of Control? under the patronage of the federal government. It is important to mention here that from 1991
until 2014 the Socialist Party ruled in a federal coalition. In the period covering MAS’s genesis
(1988–1999), all ministers of interior (federal), municipalities (federal) and cities in Flanders
and Wallonia (regional ministers) were socialists. Data processing for this study was oriented around two main topics: (1) the genesis and (2)
the implementation of MAS. In case study A, the genesis was analysed at a federal level over a
25-year period (1985–2010). Data collection was organized around the five research questions
(supra). Political reactions to increasing problems of urban antisocial behaviour were analysed
in a broader historical context of social and governmental changes in security policy over the
study period. This historical reconstruction involved 26 semistructured face-to-face interviews4
(Fontana and Frey 1994), with experts (Aberbach and Rockman 2002) from different policy
levels. All ministers of interior and justice who served during the research period were
interviewed. In 1999, during the presidency of Prime Minister Verhofstadt I, the position of
Government Commissioner of Metropolises was introduced. In 2000 this function was
transformed into the Minister of Metropolises, which was installed to steer and finance
renovation and social cohesion projects in the five major cities in Belgium. These successive
ministers were also interviewed, along with representatives of their cabinets, members of
parliament, political advisors, governors and civil servants. 4 All interviews were completely transcribed, and the 72 interviews have been kept on tape in archives. A list of
names of all respondents and their functions has been published (Devroe 2012a). A selection of quotes from the
interviewees is used in this article.
5 A list of the documents has been published (Devroe 2012a), and all documents used are stored in archives.
6 This information was used in the analysis, and the source was referred to as Bconfidential document’. Methods and data collection We gathered significant informa-
tion on how the perceptions of these policy experts led to certain policy assumptions,
motivations, basic principles, statements and, finally, actions. We chose a semistructured style
of interviewing in order to gather a diversity of significant answers at a sophisticated level. 5 In addition to interviews, an extensive document analysis5 (N: 432) of official and
confidential policy documents was carried out. Analysis included governmental programmes
and policy plans; national and local security plans; reports of the Council of Ministers; the
Cabinet of the Ministers of the Interior, Justice and Metropolises; statistical reports; annual
reports; elective programmes; reports and informal notes of regional councils; preparative
documents for Acts; personal letters between ministers; and so on. Thanks to ministers’ and
cabinet members' assistance, we were able to gather exclusive, confidential6 political material
that had not been revealed before (e.g. minutes of meetings in parliamentary committees,
informal and formal letters between ministers, minutes of intercabinet meetings). In order to study the implementation processes of the federal MAS and possible diverging
policy instructions from regions at the metropolitan level, two nested case studies (based on
differences) in Antwerp (Flemish speaking) (case study B) and Liège (French speaking) (case
study C) were added to the analysis. Both cities implemented MAS in 2005, so the relevant
period for an analysis of the uses of MAS in these cities is 2005–2012. We chose these
particular cities in order to identify any intraregional differences originating in linguistic
political influences on the one hand (both cities’ political representatives are currently left
wing, but 25 % of voters chose the extreme right-wing party Vlaams Blok in Antwerp in 1991;
voters in Liège have consistently voted for left-wing representatives) and political culture
(Flemish or Walloon) on the other. Although the population size of Antwerp and Liège varies greatly, they both face a massive
inflow of commuters (work and tourism) on a daily basis. In both cases, we focused on policy E. Devroe et al. makers from the particular institutions responsible for shaping and conceptualizing antisocial
behaviour strategies and civil servants who are responsible for implementation of MAS. This
approach led us to actors in prevention and social welfare and to institutions of law enforce-
ment (police, justice). 7 All interviews were completely transcribed and kept in the archives. Names of respondents and a list of all
documents used in the analysis have been published (Devroe 2012a).
8 Called the BOctopus agreement’ because suddenly the eight political parties all agreed on the Police Reform
Act (7 December 1998, B.S. 5 January, 1999). Methods and data collection In each city, we held 23 face-to-face interviews7 (in Dutch in Antwerp;
in French in Liège) with mayors, public prosecutors, police constables and chief commis-
sioners, social workers, wardens in public transport, city units responsible for the prosecution
and sanctioning of antisocial behaviour, members of the local council (college of alderman),
city wardens, city coachers, mediators, street-based social workers, those piloting
neighbourhood projects, etc. These interviews were complemented with an extensive docu-
ment analysis for each city, including municipal statistics on antisocial behaviour, policy plans
of majors, local security plans, police plans, antisocial behaviour plans, minutes of the city
council, activity reports of institutions, reports of city wardens, and so on. MAS genesis Regarding the social and political context of MAS (question 1), most respondents referred to
various events and scandals that shook Belgium’s political institutions and challenged their
authority to cope with issues of crime and safety in the late 1980s. The 1980s were described
as a black page in Belgian history, marked by the extremely violent raids and killings by the
Nivelles Gang (Dupont and Ponsaers 1988), terrorist attacks by the communist Cellules
Communistes Combattantes and the deaths of 39 football supporters at the 1985 European
Cup Final in the Heysel Stadium. In addition to those events, many other incidents during that
period cast a shadow over police and the justice system. Respondents also noted a growing
concern about the influx of migrants in the larger cities, a rapidly changing demographic
situation in the capital cities and the political success of the extreme rightwing party (Vlaams
Blok) in Flanders. On 24 November, 1991, Vlaams Blok obtained 6.6 % of the votes, or 12 of
212 seats in Parliament. This day is now referred to as Black Sunday, a day on which more
than 100,000 voters formally expressed their lack of trust in the existing political system
(Huyse 1996). Considered a state legitimacy problem, this electoral shift stimulated political
awareness of problems of social disorder and minor crimes in deprived neighbourhoods (Van
Limbergen 1995). The last wave of incidents occurred in the mid to late 1990s with the 1996
arrest of Marc Dutroux, a paedophile who imprisoned and murdered children. His arrest was
accompanied by a massive public expression of solidarity with the children’s parents. The
White Balloon March in Brussels in 1996, attended by 300,000 people, was a public statement
against the incompetence of police and the justice system. In April 1998 Dutroux briefly
escaped during a prison transfer, leading to moral panic in the country and resulting in the
unavoidable resignation of the Ministers of Interior and Justice. According to many respon-
dents, the police reform that was quickly voted in after this escape8 was considered by all
political parties to be necessary to the recovery of governmental legitimacy. An Expanding Culture of Control? A second stimulus for MAS’s genesis was the state reform of 1988 (supra). MAS genesis Following this
reform, the Minister of Interior, Louis Tobback, called the Cabinet of the Interior Bthe
preservation room for grumpy old men with nothing more to decide.^ The election programme
of the Socialist Party9 showed, following state reform, that socialist politicians did not want to
be constrained by the party's very narrow range of policies, which stressed repression and
public order. They expressed a strong belief in the need for tailor-made support for major
municipal areas, and wanted to formulate and implement new policy measures that tackled the
causes of crime, even though such tasks had, since 1998, been allocated to the regions and so
were officially outside their political sphere. Furthermore, the electoral shift to the extreme
right led to a political awareness among socialists that something had to be done to equip cities
with the right tools to tackle the deterioration and collapse of social cohesion. Prevention
measures (situational, but also social) became key strategies in tackling crime and feelings of
insecurity. The federal government financed many social projects, including drug rehabilitation
programmes, situational prevention projects such as street cleaning and litter removal,
neighbourhood centres and street-based social workers. Policy makers at that time were
convinced that punitive answers to minor crimes could only exacerbate the issues at hand
(De Witte 1988). Political assumptions were closer to those of the Broken Windows theory
(Wilson and Kelling 1989), transforming cities in attractive and clean places, than to deterrence
and punishment that was oriented towards individuals (mostly young people), as had been the
case after the murder of Jamie Bulger in the UK. Belgian laws were not obviously directed at
offensive behaviour (especially by young people), which has featured so significantly in policy
in the UK. Because antisocial behaviour is legally considered to be a part of public order
problems, the debate on antisocial behaviour that characterized UK debates was not seen in
Belgian political debates. The Belgian law is called Municipal Administratrive Sanctions,
which reflects its focus on public nuisances (trespass, mess/litter, environmental harms—with
the mayor being responsible for maintaining health, peace and order in the city) rather than
possessing the almost subcriminal character that antisocial behaviour laws have acquired in the
UK (Devroe 2016). Document analysis and interviews clearly reveal that socialists’ reactions to police and
judicial malaise was inspired by the French politician Bonnemaison,10 to take a preventative
approach. 9 De Witte (1988) BSecurity and petty crime’ (Veiligheid en kleine criminaliteit), an electoral document for the
municipal elections.
10 A 1982 report Face a la délinquence, prévention, répression, solidarité, written by Gilbert Bonnemaison and
26 municipal mayors, explored crime in metropolitan areas and prevention measures for young people. This
report led to the establishment of prevention councils and prevention contracts in France and was the example for
the Belgian prevention policy contracts.
11 Minister of the Interior at that time.
12 Directive of the Minister of the Interior of 12 November 1990 to the mayors on the prevention of crime, and
Directive of the Minister of the Interior of 30 November 1990 to the mayors on the security and prevention
contracts. 12 Directive of the Minister of the Interior of 12 November 1990 to the mayors on the prevention of crime,
Directive of the Minister of the Interior of 30 November 1990 to the mayors on the security and prevent
contracts. e Witte (1988) BSecurity and petty crime’ (Veiligheid en kleine criminaliteit), an electoral document for the
nicipal elections. MAS genesis The federal government approved of the intentions of Louis Tobback,11 transcribed
in the ministerial declaration BSecurity of the citizen, police and security^ of June 1992. One of
the main propositions in this document was extensive funding for crime prevention12 (Glorie
1997, 2004; Willekens 2008). In order to get a new grip on city governance after the state
reform, city contracting (like in France; see Roché 2005), was installed. After consulting the
five mayors of the major cities (all socialists) about the amount of federal funding, so-called
prevention contracts were signed between the Minister of the Interior and those mayors. The
investment consisted mainly of personnel: prevention workers were installed who introduced E. Devroe et al. unemployed, low-skilled citizens into entry-level jobs, such as football coaches, stewards, city
monitors, park guards, parking-lot guards and other prevention personnel. This was the first
occurrence of a cohort of civil surveillance wardens in public spaces executing tasks such as
warning, helping citizens with enquiries and noting down complaints about public infrastruc-
ture (Devroe 2015a). As most of these workers were located in the same building as the public
police housed within police offices, some were—like the public police—employees of the
local authority. One year prior to voting on MAS in 1998, a total of 123 million euro was
invested in the cities, installing a fragmented body of surveillance wardens on public streets
and squares, helping police to keep peace and order. In 2000, the Minister of Metropolises
(also socialist) followed his colleague at the interior and invested a significant amount of
funding in the five largest cities, more specifically in social cohesion projects,13 resulting in an
increasing body of social workers such as street-based workers and mediators in public spaces. Confidential letters between Ministers of the Interior and of Metropolises14 indicate that the
positioning of civil wardens in public spaces—an important aspect of the prevention con-
tracts—was the essence of what would become MAS the year after. This clearly illustrates the
fact that MAS originated as a preventative and not a criminal law enforcement measure (as had
the Antisocial Behaviour Orders (ASBOs) in the UK; Matthews et al. 2007; Field 2003). We
specify this last statement in the answers to our second and third queries—namely, moral
entrepreneurs, policy assumptions and MAS objectives—which we analyse in the following
paragraphs. 13 Act of 17 July 2000 on the requirements municipal authorities have to meet in order to get funding stipulated
in contracts with the Ministry of Metropolises, B.S. 8 August 2000.
14 The Department of Metropolises was socialist for the entire period, from its establishment in 1999 until 2008
(Ch. Piqué, J. Vande Lanotte: 1999–2003, M. Arena: 2003–2004 and Ch. Dupont 2004–2008).
15 To give a concrete example, when the Socialist Party no longer occupied the position of Minister of Interior,
the socialist (French) Minister of Justice (from 2003–2007) became—together with the Flemish socialist Minister
of Finance and the French Minister of Metropolises—moral entrepreneurs for the successive MAS Acts of 2004–
2005. MAS genesis Analysis of the extensive body of policy documents dating from the crucial period before
the voting for MAS (1999–2005) and the interviews leads to the conclusion that the socialist
body of thought (the belief in the feasibility of society, in state engineering) was transferred
across key positions, governmental levels (federal and regional) and even across linguistic
tensions.15 The in-depth political reconstruction of communication between different stake-
holders shows that the sole moral entrepreneurs were the socialists (politicians and cabinet
members), installing MAS as a last resort following the preventive financial injection that
political party officials had implemented from the early 1990s onwards. Their main objective
was to install formal and informal surveillance in public spaces in order to address public
feelings of insecurity and to establish what could be called a city code of conduct by
implementing MAS. There were no theoretical assumptions (our third question) underlying this decision: the
approach to antisocial behaviour arose from the pragmatic experience of politicians, called a
rational-within-limits view (Garland 2004). Only the Minister of Metropolises asserted that he
had analysed a number of French scientific studies on urban crime problems, such as
Bonnemaison. Though the installation of a body of civil city wardens could refer to capable
guardianship (Felson 2002) and so fit in the opportunity theory, the MAS approach could not
be called a demoralizing effect of situational crime prevention where the new approach does An Expanding Culture of Control? not look to the revival of social controls and self-controls. Instead, it seeks to make a new style
of ‘situational engineering’ succeed where ‘social engineering’ failed^ (Garland 1997, p. 189). The objectives (question 4) of MAS were—after 10 years of federal investment in crime
prevention and a penal system that completely ignored sanctioning municipal violations—to
counteract impunity by providing municipalities with a legal instrument to sanction incivilities. By broadening city council competences to sanctioning, municipalities were put in control of
the entire chain of enforcement policy: establish regulations, prosecute and punish (Van
Heddeghem 2006). As the Flemish government had competence over sanctions and justice
but wanted to decrease crime and disorder, the Flemish Minister of Cities (socialist) also
invested in contracting (Social Impulse Funding, Sociaal Impulsfonds) in order to install social
policies of city renovation and social cohesion projects in exchange for (Flemish) funding. 16 Decree of the Walloon Government of 15 May 2003 on prevention and proximity in cities and communes in
Wallonia, Ministerial Decision, 4 February 2004: 6701.
17 Act of 13 May 1999 on Municipal Administrative Sanctions, B.S. 10 June 1999. MAS genesis The
following quote illustrates the intention: As we had no competences on problems of crime, and we wanted to reorganize crime-
prone cities into viable, agreeable spaces, we tried to invest in citizens’ participation. Of
course this was done to avoid a conflict between our official (narrow) competencies and
our own policy goals. This Flemish money was only meant for the so-called deprived
neighbourhoods. So you were obliged to work in certain bad neighbourhoods, which
were overpopulated, with a great mix of cultures and a lot of integration problems and
sociodemographically and economically floating beneath the societal surface. And those
you have to renovate, so you organize a competition to find out what people think it is
important to have in public space (civil servant of the Flemish cabinet). In 2003, almost 7 years after the Flemish investments, Wallonia16 was also able to provide
funding for Walloon cities following the signing of contracts between the cities and the
Walloon executive that guaranteed the use of prevention-based approaches. This gave a great
boost to Flanders, providing infrastructure improvements that were supported by local citizens,
and contributed to a reduction in feelings of insecurity (Devroe 2012b). Therefore, if MAS is
viewed in isolation, its objectives can be considered to be Bmodest improvements at the
margin, the better management of risks and resources, reduction of the fear of crime, reduction
of criminal justice expenditure, greater support for crime’s victims^ (Garland 2001, p. 109). We now elaborate on MAS itself. Regulating antisocial behaviour: MAS Tackling antisocial behaviour is a municipal matter in Belgium, directed by the mayor and
executed by the public police. This practice, together with the strict division between admin-
istrative (public order) and judicial police, is particular to the Belgian constitutional setting
stemming from a history of local autonomy (Devroe and Ponsaers 2013). MAS17 provides
local councils with an appropriate instrument enabling them to swiftly and forcefully tackle
antisocial behaviour on municipal land. As the Belgian legislator considers antisocial behav-
iour to be an element of disturbing public order, MAS was embedded in the existing Municipal
Act of 1999, creating three innovations: (1) the ability to close down establishments and E. Devroe et al. suspend licences, (2) enlargement of the notion of public order to antisocial behaviour18 and
(3) competence for the mayor and alderman to sanction (with fines up to 340 euro) infringe-
ments of municipal regulations. MAS combines administrative measures (briefly, measures
taken by the mayor, such as closing down bars and discotheques, withdrawal of licences,
issuing fines) and administrative sanctions imposed by the city council (mainly fines). Before
the amendment in 2004, municipal authorities could only react to the types of behaviour for
which neither the federal nor the regional parliament has provided penalties. In other words,
municipalities could only respond to new types of antisocial behaviour that had not already
been addressed by existing legislation.19 In practical terms, local administrative sanction
legislation proved to be an Bempty barrel^ for municipalities. As any overlap with existing
provisions elsewhere was formally excluded, local councils did not have much room to
manoeuvre (Vander Beken and Vandeviver 2014). Moreover, the Act of 1999 allowed
municipalities to draft their own laws but not to appoint designated enforcement staff. Antisocial behaviour could only be established by a report made by police (Devroe 2008). Before MAS, sanctioning antisocial behaviour was the responsibility of the judicial authority
(police courts), creating considerable congestion in the public prosecutor’s daily workload. For
political reasons—namely the belief in tailor-made local governance with a strong emphasis on
municipal autonomy—MAS was meticulously amended by the federal parliament in 2004,
leading to two new acts in 2004. In the preparation of this act we noticed—for the first time—a
strong voice (Minister of Justice L. Onkelinx, also socialist) underlining the need for manda-
tory mediation before punishment. 18 Art. 135 par. 2 al 7 MAS.
19 This means not only federal legislation but also regional decrees on environmental issues, town and country
planning, construction companies, residential inspection, etc.
20 Parliament, Chamber 1, 2002–2003, number 2366/1 and 2367/1, 3–5. 18 Art. 135 par. 2 al 7 MAS. MAS implementation in two cities Regarding the fifth research question on the mix of informal social controls embedded in the
everyday activities within preventive partnerships at local levels, analysis of 46 interviews and
numerous documents led to some specific results. Questions such as: BWhat are the rules of
discourse and action that organise the diverse practices that made up this field?^ BHow are
these rules and these practices related to those of other social domains, such as welfare, politics
or the economy?^ BWhat role do these practices play in the governance of late modern
society?^ (Garland 2001, p. 2) were analysed in both cities. The way in which MAS was
implemented was reviewed—whether top down, meaning mandatory as imposed by city hall,
or bottom up, originating in small initiatives within civic society. During the empirical search,
attention was paid to the ways of thinking that underlie the programs (mentalities), the
organisational forms used to implement those ways of thinking (institutions), the techniques
used to turn mentalities into action (technologies) and, of course, results (practices) (Johnston
and Shearing 2003, p. 13). Results show a great variety in both cities. In Antwerp, we noticed a very enthusiastic and immediate application of MAS, welcomed
by city hall as an excellent opportunity to govern the city, with extra tools for the mayor to
execute local security policy. Wardens were able to initiate antisocial behaviour reports, and
the administrative staff had the authority to sanction. The local police code was completely
overhauled, with administrative sanctions for many minor offences ranging from traffic
offences; to antisocial violations at markets, restaurants, bars and sports events; to begging
and drinking in public spaces; and hanging out, insulting and intimidating others. Under the
socialist mayor P. Janssens, a special city department called Living Together was created,
which initiated surveillance and control, street-based social work and educational programmes. The whole security chain, from prevention to mediation, to prosecution and sanctioning, was
coordinated by one director in what was called an integrated approach. As had been found
when assessing the objectives question, socialist ministers intended to treat MAS as a final
option after preventive measures; handing out fines was seen as a final stage when prevention
approaches had failed. Mediation is in place for young people. 21 Act dated 20 July 2005 establishing various provisions—matters pertaining to the civil service and urban
policy—municipal administrative penalties (art. 21–22), B.L.G, 29 July 2005. An Expanding Culture of Control? An Expanding Culture of Control? The second series of criminal offences (the so-called more serious mixed violations) results
in penalisation under traditional criminal justice, unless the public prosecutor’s office indicates
that it would be more appropriate to impose a pecuniary fine. With regard to this series of
criminal offences, the municipal civil servant can only impose an administrative pecuniary fine
if the public prosecutor has advised him/her within a preset timespan that the violation shall
not be pursued any further and that he/she feels it would be appropriate to impose an
administrative penalty. If the public prosecutor fails to communicate his/her position, and
the provided time period has expired, the local council is no longer at liberty to act in an
administrative sense, which means the violation must be settled in a criminal justice context. It
is up to each municipality to draft a list of violations that are punishable by MAS. The 2005
revision of the act21 made it possible for municipal officers to draft reports and sanction all
municipalities’ regulations, in addition to the public police. Regulating antisocial behaviour: MAS These acts treat minors (aged 16–17) as eligible for
sanctioning using MAS, but only after mandatory mediation (Vander Beken 2005). This revised act combines administrative sanctions with criminal procedures in a particular
way. In order to hand over sanctioning competencies to the municipality, a series of violations
were depenalized. These violations were no longer delimited by other legislation and could be
integrated into municipal procedures. A second group of criminal offences are referred to as
mixed violations, i.e. behaviour that qualifies as both a criminal offence and an offence written
down in municipal regulations. These are not depenalized, but the municipal council is at
liberty to issue a pecuniary fine of up to 250 euro for these offences in its byelaws, as the
existing penalties provided under the penal code remain untouched when the public prosecutor
decides to pursue a case. The penalties already included in the penal code are in turn divided into two separate
procedural settlements in which the official police report is required to be sent to the public
prosecutor’s office in all cases. With regard to the first series of criminal offences (the so-called
lighter-mixed violations), administrative pecuniary fines can only be imposed when the public
prosecutor does not communicate his position in the case to the civil servant within 1 month of
receiving the police report. If the public prosecutor has allowed this term to expire without
making his or her position known, offences under this first series of criminal offences can only
and exclusively be punished administratively, with the local council at liberty to take up the
prosecution of this offence. Of course, an individual cannot be punished twice for the same
offence (non bis in idem).20 MAS implementation in two cities According to the mayor of
Antwerp, the director of the Living Together department and civil servants working in city
hall, the aim of mediation is to change the attitudes and conduct of young people who exhibit E. Devroe et al. antisocial behaviour by providing a variety of programmes and services (educational, aggres-
sion management, sports facilities, assistance at school, etc.) in order to avoid sanctions (fines). Some respondents saw this as a positive early intervention; others saw it as subjecting the
young people to intrusive control in the name of diversion or prevention, forcing them into
welfare. In Antwerp, young people who are following the programme in order to avoid
sanctions may be subject to net-widening effects, because what was considered normal
adolescent behaviour of short duration before MAS is now labelled as a problem that requires
special attention and care, and—if a young person does not complete a prevention pro-
gramme—is regarded as worthy of a fine. antisocial behaviour by providing a variety of programmes and services (educational, aggres-
sion management, sports facilities, assistance at school, etc.) in order to avoid sanctions (fines). Some respondents saw this as a positive early intervention; others saw it as subjecting the
young people to intrusive control in the name of diversion or prevention, forcing them into
welfare. In Antwerp, young people who are following the programme in order to avoid
sanctions may be subject to net-widening effects, because what was considered normal
adolescent behaviour of short duration before MAS is now labelled as a problem that requires
special attention and care, and—if a young person does not complete a prevention pro-
gramme—is regarded as worthy of a fine. Antwerp uses the bargaining model of contracting that is widely used in Anglo Saxon
countries, showing characteristics of a multiagency approach with fixed horizontal networks. The preventative partnerships are a core aspect of antisocial behaviour governance, linking
actors from different backgrounds and policy domains in one network, and considering the
creation of personal dossiers of young offenders to be a policy priority for the whole city. These networks are not mandatory in the way that Crime and Disorder Reduction Partnerships
are in the UK (Edwards and Prins 2014) but can be understood within a broader tendency
towards horizontal security governance instead of top-down government. In Liège we found a completely different interpretation of MAS. MAS implementation in two cities As policy decisions there
are based on the Canadian approach, there is a fundamental belief in the importance of high-
profile community-oriented policemen. City wardens cannot issue fines; they only assist the
police in monitoring signs of disorder. The policy assumption is that that there is no need to
create a kind of municipal criminal justice system when a transparent legal justice system is
already in place. In the view of the mayor, the chief of police and many other experts
responsible for public order and antisocial behaviour, warnings (oral or written) from the
police are the best remedy against frequent disorder, and there is no need for extra fines. Therefore, the Liège municipal regulation code remained limited to violations at specific
markets, festivities and sports events. Mayoral measures (see above) are not included in the
code and cannot be executed, nor are exclusion measures such as street bans or night curfews. According to respondents, too many prohibitions would hinder inhabitants and restrict their
privacy. Analyses showed a total rejection of the use of mediation as a tool to avoid fines. Once
a case is registered and proven, a fine is given, even after (successful) mediation. In compar-
ison with Antwerp, the act of 1999 is rarely applied, the police code was not substantially
revised, and punishment of antisocial behaviour by the classic law enforcement agencies of
police and justice continued as before. Liège City Hall carries out specific projects (e.g. street cleaning, targeted alcohol control,
free bus passes) and connects actors on an occasional basis for a more integrated approach. These connections, however, are not integrated into a specific framework and often dissolve
following the project. Collaboration is based on the initiative and willingness of participants, as
there are no official agreements. Tasks related to welfare and social cohesion (completed by
social workers) are clearly distinguished from tasks involving prevention and sanctioning
(executed by police and justice). Both cities illustrate a bottom-up approach, initiated from a
small number of ideas that took shape and were formed in a later phase, confirming Garland’s
statement that BThey subsequently became de facto strategies attracting widespread support
and multiple ex post facto rationales, the plan followed the practice rather than the other way
around^ (Garland 2001, p. 105). It is clear from this study that Antwerp implemented MAS wholeheartedly and within the
broader objectives of an integrated security policy. Conclusion and discussion As difficult as a comparison and the translation of criminological concepts can be (Edwards
and Hughes 2013; Edwards et al. 2013; Nelken 2015), our research shows the importance of
empirical research on control theories in different contexts and on different phenomena. In this
article we broadened Garland’s insights on a phenomenon that he did not analyse empirical-
ly—namely, issues of public order in public space. As this space became scarce (Hope 2000)
the quality of life discourse gained importance (Crawford 1999, 2001; Edwards and Hughes
2002), putting the regulation of disorder in the political spotlight. The Crime and Disorder Act
in the UK, regulating public behaviour and mostly targeting individuals who disturb public
order, was introduced (1998) before the culture of control (Garland 2001) came about. The
Criminal Justice and Public Order Act (1994), introduced by Michael Howard (Home
Secretary under a Tory government) aimed to criminalise individuals with an unconventional
lifestyle, such as gypsies, squatters and ravers (Hughes 2007); the 1994 New Labour policy
plan BA Quiet Life: Tough Action on Criminal Neighbours^ (Squires and Stephen 2005)
tempted us to broaden Garland’s insights into this public order domain by piloting extensive
empirical research with more than 400 policy documents and 72 in-depth expert interviews. Regulating public space is an important task of mayors in most Western countries and can lead
to exclusionary mechanisms (Young 2007, 2009). A digression on this important semiauton-
omous field (Bourdieux) of control in public space in Garland’s culture of control would have
been valuable, even more so since stringent modes of control in this area were already installed
in the UK before the publication of his book in 2001. Applying Anglo Saxon penal insights to the continental setting of a civil-law (federal)
country with a complex constitutional setting was a challenging enterprise. We believe this
multiple case study research design was justified in relation to the proposition that politics
matters (Stone 2008) in explaining the origins and development of control strategies; and in
Belgium, that implies a concern with the contrasting politics found in the different regional
governments as a consequence of the Belgian constitutional/legal settlement. MAS implementation in two cities In both of the two case studies, local An Expanding Culture of Control? politics was effective in implementing policies in ways that the federal government intended. In Antwerp, MAS is an important instrument, but only as the last part of an integral local
policy chain. Liège was more reluctant to implement MAS, and only uses instruments that are
already available in the criminal law enforcement system to regulate antisocial behaviour. Liège mostly invests in social welfare and prevention approaches instead of issuing fines. Conclusion and discussion In Belgium, there was a lack of confidence in crime-fighting models and criminal law
enforcement approaches, such as the UK’s ASBOs and Criminal ASBOs (CRASBOs)
(Bottoms 2006; Burney 2005; Card and Ward 2008) or Australian control orders (Zedner
2007) in the period covered by this research, with the socialists calling instead for an approach
that would lead to a better quality of life in a preventative manner. As one of the causes of
MAS was the flight to the extreme right in 1991 and the complete absence of justice in the
regulation of minor crimes that citizens complained about, it is obvious that socialists wanted
their electorate back, which they managed to do for 12 years in federal government. The two
case studies (Antwerp and Liège) retained socialist mayors from 1976 until 2013, when a
right-wing mayor took over the mayoral sash in Antwerp (but not in Liège). By ignoring minor
offences and antisocial behaviour that disrupted people’s lives, fears of a second extreme right
electoral turn became a reality. To conclude: local politics do matter. Our results elucidate the second factor in Garland’s
analysis, the local factors determining control policy more than they do the importance of
social forces associated with the onset of late modernity. Socialist mayors sitting in parliament
from all five major cities in Belgium shaped the intentions, the assumptions and the objectives
of MAS, together with their Socialist Party members at a federal level and at both regional
levels. As this act is a nonmandatory instrument that is available for all mayors in their task of
keeping peace and order, it is to be expected that politics will be an important factor. Although
the act sets structural legal limitations not to punish behaviour that is already penalised in a
federal or regional act, net widening can be a dangerous side-effect of this act, broadening the
control perspective. Although our empirical observations explicitly showed no reason to
believe that risk assessment and control measures were the intention of the original
(socialist) moral entrepreneurs, local mayors can decide otherwise. As the Socialist Party
had completely vanished in federal coalition and in Antwerp, right-wing and conservative
parties demonstrated diverging policy agendas and were able to implement diverging strate-
gies. Recently, Belgian austerity policy has led to huge budget cuts, specifically in social
insurance and other programmes of social care, welfare and prevention. Conclusion and discussion The detailed
reconstruction of the genesis of MAS and of, more generally, Belgian security policy from
1985 to 2010, broadened the scope of classic criminological research (Bruinsma and Huisman
2006) (which, when analysing national acts, usually focuses exclusively on the enforcement of
criminal law measures that have been set out by ministers of the interior and of justice). The
link with fragmented regional and local competences due to federalisation processes when
studying a national act is rarely made: as Hamilton (2014) put it when discussing the fact that
research has examined institutional arrangements, national culture and the interaction between
the two, the impact of a jurisdiction’s political culture on penal policy has remained a largely
underexamined topic. Prohibiting government officials in charge of police and justice from
creating social approaches such as restorative justice and social prevention (state reform) sheds
light on the intentions of governmental state actors. As we did not limit ourselves to the police
senso stricto approach (the act installed by the federal government) but studied the political E. Devroe et al. dynamics between federal, regional and local actors in the common Bpolicing goal of making
cities clean, liveable and attractive again, the detailed reconstruction revealed some very
unexpected results. dynamics between federal, regional and local actors in the common Bpolicing goal of making
cities clean, liveable and attractive again, the detailed reconstruction revealed some very
unexpected results. First, we found a coherent rationale among those who create and implement policy that is,
to a certain degree, contrary to Garland's thesis, which emphasises volatility and ambivalence
(see also O'Malley 1999); and the regulation of antisocial behaviour was strongly influenced
by the ideological body of thought of Socialist Party officials (French and Dutch speaking)
who shared a strong belief in social prevention and, as an ultimum remedium if prevention and
warnings fail, a local tailor-made instrument in the hands of the city council to sanction
frequent antisocial behaviour. We believe this socialist ideology to be the main element of
resistance against purely punitive reactions in the Belgian political context. Conclusion and discussion Disconnecting local
(sanctioning) policies from local preventative and welfare policies could turn MAS practices
into a purely repressive and punitive arrangement. Second, Belgian socialist officials do not comply with regulations for state reform, which is
only possible in the typical Belgian political-bargaining consensus model of governance. Our
analysis showed that although the Minister of the Interior (an empty barrel) formerly had no
say over municipalities and certainly not in the domain of social prevention (only in terms of
repression), in fact, the minister found a way to govern municipalities from a distance by
Bcontracting politics, so imposing on them a preventative and welfare-oriented ideology. This 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 repro-
duction 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. An Expanding Culture of Control? was not, as in the UK, about creating networks. In fact, the minister found a way to govern
municipalities from a distance by using a community safety approach, so imposing on them to
create crime prevention networks22 As prevention officers were mostly located in police
stations, it was more about transferring processes of social justice and prevention to a tailor-
made level: cities. This rather unusual approach, which is due to Belgium’s complex consti-
tutional setting, touches on Lijphart’s (1999) distinction between consensus and majoritarian
democracy as a key element in explaining the country’s moderate model of regulating
antisocial behaviour. In conclusion, it can be observed that MAS offers municipalities a tool to steer local
problems by providing administrative fines and is accompanied by tailor-made prevention
programmes that are not oriented towards a dangerous other but are relevant to all municipal
inhabitants. MAS cannot be called an expressive/symbolic dimension of criminology of the
other (acting out) or as an illustration of a stronger repressive governmental grip. Our results
are in line with the findings of Goddard (2012), who supports the development of a thesis that
prevention and welfarist traditions survived the transition to late-modern risk-management
developments, at least in policy intentions at the federal level, and in Liège. Our analysis has
shown that the culture of the control framework contains elements that help explain and
understand the emergence and application of MAS. It is clear, however, that not all aspects of
regulating antisocial in Belgium fit within Garland’s limited scope of the sociology of
punishment. Complementing Garland’s thesis with theoretical and empirical insights into
public order issues in general and on regulating public space in particular would enlarge our
understanding of control theories in late-modern society. How can we explain convergent or
divergent regulating tools and practices between different metropolises embedded in the same
nation state? Can we detect more explanatory variables than historical evolutions, linguistic
characteristics and political ideologies? This last question illustrates the need for further
research and confirms the culture of control thesis as a useful framework for analysis. However, Garland’s insights do not necessarily have an explanatory value in the empirical
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dagorde, Jubileumeditie ter gelegenheid van tien jaar orde van de dag (pp. 289–301). Deventer: Kluwer. Wilson, J., & Kelling, G. (1989). Making Neighborhoods Safe. Atlantic Monthly, 263, 46–52. Wodak, R. (2011). The Discourse of Politics in Action: Politics as Usual. Basingstoke: Palgrave Macmillan. Wodak, R. (2011). The Discourse of Politics in Action: Politics as Usual. Basingstoke: Palgrave Macmillan. Young, J. (2007). The Vertigo of Late Modernity. London: Sage. Young, J. (2007). The Vertigo of Late Modernity. Lon Young, J. (2009). Moral panic: Its origins in resistance, resentment and the translation of fantasy in to reality’. British Journal of Criminology, 49(1), 4–16. Zedner, L. (2007). Preventive justice or pre punishment? The case of control orders’. Current Legal Problems,
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“Since I’m a little bit more mature”: Contraception
and the Arc of Time for Women in Midlife
Amy Alspaugh
(
amyalspaugh@gmail.com
)
UCSF: University of California San Francisco
https://orcid.org/0000-0003-4427-4807
Melody Reibel
MUSC: Medical University of South Carolina
Eun-Ok Im
Emory University
Julie Barroso
Vanderbilt University
Research
Keywords: contraception, middle aged, reproductive health, menopause, qualitative research
Posted Date: September 16th, 2020
DOI: https://doi.org/10.21203/rs.3.rs-74908/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 Women's Midlife Health on April 9th, 2021.
See the published version at https://doi.org/10.1186/s40695-021-00062-7. “Since I’m a little bit more mature”: Contraception
and the Arc of Time for Women in Midlife
Amy Alspaugh
(
amyalspaugh@gmail.com
)
UCSF: University of California San Francisco
https://orcid.org/0000-0003-4427-4807
Melody Reibel
MUSC: Medical University of South Carolina
Eun-Ok Im
Emory University
Julie Barroso
Vanderbilt University
Research
Keywords: contraception, middle aged, reproductive health, menopause, qualitative research
Posted Date: September 16th, 2020
DOI: https://doi.org/10.21203/rs.3.rs-74908/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 Women's Midlife Health on April 9th, 2021. See the published version at https://doi.org/10.1186/s40695-021-00062-7. Research 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 Women's Midlife Health on April 9th, 2021. See the published version at https://doi.org/10.1186/s40695-021-00062-7. Page 1/14 Abstract Background: Birth control methods have rapidly evolved over the past several decades, but little research
has explored how women interact with contraception over time. Exploring contraceptive beliefs,
perceptions, and attitudes of women in midlife can reveal much about how lived experience affects
contraceptive decisions and reproductive health choices. Methods: Individual, semi-structured interviews were conducted with 20 women between the ages of 40
and 55 who had not reached menopause and did not have a permanent method of sterilization. Data
were coded using qualitative descriptive methods. Results: Three major themes were identified: 1) journey toward empowerment; 2) finding the right fit:
evolution over time; and 3) anticipating a transition. Past experiences with or fear of side effects and
hormones were common reasons to change or avoid certain birth control methods. Most participants
were happy with their contraceptive method; however, those who were unhappy were more likely to
vocalize fatigue at continuing to need contraception as menopause approached. Conclusion: Approaching contraceptive counseling from a place that considers the journey with
contraception over a reproductive life span will help identify how beliefs, perceptions, and attitudes of
women affect their contraceptive practices and choices. Background The field of contraception has undergone a remarkable evolution in the past several decades. So
remarkable, in fact, that the United States’ Centers for Disease Control and Prevention named family
planning one of the success stories of public health in the 20th century [1]. Around the globe, women
have seen their options and access to highly-effective contraception increase, albeit unevenly across
nations with vast discrepancies in resources. But how have these changes in methods interacted with the
changes that take place over the course of a woman’s reproductive years? Women nearing menopause have seen this evolution take place throughout their reproductive years. A
woman currently in her mid-fifties likely started her journey with contraception in the early-to-mid 1980s,
when only a few types of contraception were available. A plethora of delivery systems and hormonal
formulations have been created during the past several decades. Are women trying newer methods, or do
they continue largely unaffected by such advances? How do past experiences, both positive and negative,
influence current contraceptive decision-making? The most recent data collected from 2006–2010
indicate that women in the US aged 15–44 use an average of 3.1 contraceptive methods during their lives
[2]. These data suggest that many women will only use a small number of the various family planning
methods available. A literature review was conducted to assess for previous studies that evaluated women’s perceptions and
experiences with contraception over time. Two studies qualitatively explored perceptions of young Page 2/14 women who identified as Black and Latina. Gomez et al. found previous experiences with side effects
and high levels of distrust in medical providers and based on experiences of others as affecting their
decision to use a long-acting reversible contraceptive [3]. Downey et al. identified an iterative, relational,
and reflective process in which young women made contraceptive decisions [4]. Another study explored
the contraceptive journey of women age 16–50 quantitatively, evaluating methods used, reasons for
changing a method, and interactions with healthcare providers [5]. To our knowledge, the current study is
the first to address the contraceptive journey from the perspective of women in midlife, between the ages
of 40 to 55, who arguably have the longest time frame of experience but are rarely included in
contraceptive research [6]. Consequently, little is known about the reproductive journeys of women in
midlife, who have potentially been using contraception for three or more decades [7, 8]. Background There is currently much debate among family planning practitioners and researchers regarding how to
make birth control methods and counseling more patient-centric [9, 10]. Efforts to move past tiered
contraceptive counseling, based on method effectiveness alone, is losing favor as reproductive justice
becomes the default framework [11, 12]. Included in this effort is considering the lived, personal
experience of the individual as equally important if not superior to the evidence-based, scientific
knowledge [4, 13]. Part of the process that is necessary to elucidate these perspectives involves feminist
and intersectional qualitative research [14]. To this effect, the present qualitative analysis explores the
following questions: How do women in midlife view their contraceptive journey? What shapes their
current beliefs, perceptions, and attitudes about contraception? What can be learned from women in
midlife that may help women across the reproductive lifespan? Methods Sample. Participants were recruited throughout the Research Triangle area of North Carolina, a mid-sized
urban community compromised of several smaller cities. Information about the study and pertinent
contact information was included on flyers placed at women’s health clinics and public venues that reach
a wide variety of women such as libraries, grocery stores, and coffee shops. Recruitment also occurred
through snowball sampling: study participants were also encouraged to tell friends or family who may be
interested about the study [15]. While there was no a priori number of participants we were seeking to
recruit, per qualitative traditions we sought to recruit until we reached data saturation and no new themes
or concepts were identified [16]. The following criteria guided participant recruitment: identifying as a woman, being between the ages of
40 and 55, speaking English, and having not yet reached menopause. Exclusion criteria included having a
permanent method of sterilization or having a partner with a permanent method of sterilization. Sterilizations were excluded to ensure the research focused on those still making contraceptive decisions
over 40. Approval was sought from the Medical University of South Carolina’s Institution Review Board
(IRB), and the study, #Pro00089636, was deemed exempt from Human Subjects Research Regulations. Sterilizations were excluded to ensure the research focused on those still making contraceptive decisions
over 40. Approval was sought from the Medical University of South Carolina’s Institution Review Board
(IRB), and the study, #Pro00089636, was deemed exempt from Human Subjects Research Regulations. Page 3/14 Page 3/14 Data Collection. Interested participants telephoned the PI for prescreening eligibility or filled out a secure
online survey through REDCap. Those who screened eligible were contacted to set up an interview time
and location. Interviews were face-to-face, individual, semi-structured, and in-depth. An interview guide
steered the discussion and covered topics such as contraception, pregnancy planning, and the approach
of menopause. The guide was minimally revised during data collection based on early interviews. The interviews occurred between September and December of 2019 and were all conducted by the first
author. Interviews took place at locations selected by the participants to ensure ease of access and
optimal comfort level. Most often, interviews occurred at coffee shops, fast food restaurants, and public
libraries. Each participant was interviewed a single time. Interviews lasted between 35–55 minutes and
were audio-recorded with a handheld device and then transcribed verbatim. Methods Participant verbal consent
was obtained by the interviewer at the time of the interview. Participants were given $25 gift cards to
compensate for their time. Data Analysis. The study was conducted within a qualitative descriptive approach. The goal of qualitative
description is to describe an individual’s experience in that individual’s own words at a manifest level [17]. Qualitative descriptive methodology is based on the overarching principles of naturalistic inquiry,
meaning that people are observed and interpreted within the social and cultural context of their lives [18]. First and second level qualitative coding was initiated by the first author consistent with qualitative
descriptive methodology [19]. Three overarching themes were identified based on thorough review of the
first and second level codes and all second level codes were organized under the relevant theme. The fourth author reviewed all first level coding for the first 10 interviews and the second level coding for
every other interview. Additionally, the second and third authors reviewed all coding on a quarter of the
interviews and provided input to the final coding matrix and themes. Areas of disagreement were
discussed, and consensus was obtained among all authors. Interviews were coded in Microsoft Word and
demographic data were analyzed in Microsoft Excel. Trustworthiness was enhanced through 1)
prolonged engagement with the transcripts, 2) creation of an audit trail, 3) use of reflexive journaling by
the interviewer, and 4) member checking with 9 participants. Member checking both assisted in
confirming themes and also provided further clarification about participants’ interpretation and
understanding. Results Of the 32 women who completed prescreening eligibility, 22 participants met all the inclusion criteria. Of
these 22 women, 20 completed the study and 2 were unable to be scheduled for interviews due to
scheduling conflicts or being lost to follow-up. Participant recruitment continued until data saturation
was reached and no new themes were identified. Table 1 shows the participants’ demographic
information in greater detail. Page 4/14 Table 1
Demographic Characteristic of 20 Interview Participants Participant #1 was a 40 year old single woman, identifies as white, non-Hispanic and lesbian. She has
previously used the pill and condoms for contraception, currently using nothing. Has one child and is
sexually active with one female. Participant #2 was a 53 year-old single woman who identifies as white, non-Hispanic and bisexual. She has previously used the pill and condoms, currently using nothing. She has no children and is
sexually active with one female. Participant #3 was a 48 year-old married woman who identifies as white, non-Hispanic and
heterosexual. She has previously used the pill, IUD, withdrawal, condoms, diaphragm, and the sponge,
is currently using condoms. She has one child and is sexually active with one male. Participant #4 was a 46 year-old married woman who identifies as white, non-Hispanic and
heterosexual. She has previously used the pill, condoms, and the sponge, currently using pills. She
has no child and is sexually active with one male. Participant #7 was a 41 year-old single woman who identifies as Black, non-Hispanic and
heterosexual. She has previously used the pill, patch, the shot, and condoms, currently using nothing. She has four children and is not currently sexually active. Participant #8 was a 47 year-old married woman who identifies as white, non-Hispanic and
heterosexual. She has previously used the pill, condoms, and the sponge, currently using pills. She
has two children and is sexually active with one male. Participant #10 was a 40 year-old single woman who identifies as Black, non-Hispanic and
heterosexual. She has previously used the pill, ring, shot, IUD, and condoms, currently using an IUD. She has one child and is sexually active with several male partners. Participant #11 was a 47 year-old married woman who identifies as white, non-Hispanic and
heterosexual. She has previously used the pill, IUD, fertility awareness, withdrawal and condoms,
currently using fertility awareness, withdrawal and condoms. She has one child and is sexually active
with one male. Participant #12 was a 40 year-old single woman who identifies as bi-racially Black and white, non-
Hispanic and heterosexual. She has previously used the pill, withdrawal, and condoms, currently
using nothing. She has two children and is sexually active with one male. Participant #15 was a 41 year-old single woman who identifies as white, non-Hispanic and
heterosexual. She has previously used the pill, fertility awareness, withdrawal and condoms, currently
using fertility awareness and withdrawal. Page 4/14 Page 4/14 Table 1
Demographic Characteristic of 20 Interview Participants Participant #32 was a 46 year-old divorced woman who identifies as white, non-Hispanic and
heterosexual. She has previously used the pill, IUD, fertility awareness, condoms, diaphragm, and
sponge, currently using an IUD. She has two children and is not currently sexually active. Three major themes were identified: journey toward empowerment; finding the right fit: evolution over
time; and anticipating a transition. Subthemes are presented in order of most to least prevalent. Table 1
Demographic Characteristic of 20 Interview Participants She has no children and is sexually active with one male. Participant #16 was a 52 year-old single woman who identifies as Black, non-Hispanic and
heterosexual. She has previously used the pill, ring, fertility awareness, withdrawal, condoms,
diaphragm, and sponge, currently using condoms. She has two children and is sexually active with
one male. Participant #17 was a 40 year-old married woman who identifies as white, non-Hispanic and
heterosexual. She has previously used the pill, fertility awareness, and condoms, currently trying to get
pregnant. She has one child, two step-children, and is sexually active with one male. Participant #20 was a 40 year-old single woman who identifies as Black, non-Hispanic and
heterosexual. She has previously used the pill, and condoms, currently using nothing. She has no
children and is not currently sexually active. Participant #22 was a 55 year-old married woman who identifies as Black, non-Hispanic and
heterosexual. She has previously used the pill, patch, withdrawal and condoms, currently using Page 5/14 Page 5/14 fertility awareness, withdrawal and condoms. She has one child and is sexually active with several
male partners. fertility awareness, withdrawal and condoms. She has one child and is sexually active with several
male partners. Participant #24 was a 47 year-old married woman who identifies as Black, non-Hispanic and
heterosexual. She has previously used the pill, shot, withdrawal and condoms, currently using the
shot. She has one child and is sexually active with one male. Participant #25 was a 42 year-old married woman who identifies as Black, non-Hispanic and
heterosexual. She has previously used the pill, ring, shot, IUD, fertility awareness, and condoms,
currently using pills. She has two children and is sexually active with one male. Participant #26 was a 44 year-old single woman who identifies as white, non-Hispanic and
heterosexual. She has previously used the pill, ring, fertility awareness, withdrawal and condoms,
currently using nothing. She has one child and is not currently sexually active. Participant #28 was a 48 year-old single woman who identifies as white, non-Hispanic and
heterosexual. She has previously used the pill, sponge, and condoms, currently using pills. She has
two children and is not currently sexually active. Participant #31 was a 44 year-old married woman who identifies as Black, non-Hispanic and
heterosexual. She has previously used the pill and condoms, currently trying to get pregnant. She has
no children and is sexually active with one male. Journey toward empowerment Many women spoke of their contraceptive behavior at midlife in comparison to their younger selves. They
were able to identify a transition in their own behavior. This manifested in becoming more confident in
speaking up about the desire to use condoms, and in the ways in which they took experiences they had
with their own mothers and used them to inform how they talked about sex and health with their own
children in the present day. More confidence in addressing contraceptive needs. Over half of the women interviewed reported a
difficult reproductive health scenario when they were young and newly sexually active. During their first
few years of sexual activity, women in this study reported adolescent pregnancy, abortion, and risky
sexual behavior. Some women also reported difficulty obtaining the contraceptive method of their choice,
due to family members preventing access or because of problems with insurance. Many women in midlife described an increase in their comfort level when discussing their contraceptive
needs with their partner or partners compared to when they were younger. For some women, this meant
not using a method with which they felt uncomfortable. For others, it meant sharing the task of
contraception with the partner, such as using male condoms, instead of feeling the need to take care of it
all by themselves. Page 6/14 Specifically, several women mentioned that they felt much more confident insisting on condom use from
their partners now than when they were younger. One woman discussed how she ensured safety against
sexually transmitted infections (STIs): “Condoms and plus, now since I'm a little bit more mature, you're
gonna go take a test for whatever disease before I even think about having sex with you.” Women who
specifically mentioned that condoms were currently non-negotiable with new partners were often the
same women who had talked about their own sexual risk-taking when not using protection in their youth. The role of mothers. Mothers, or mother-figures, played a large role in how women talked about
reproductive and sexual health in their youth. More commonly, women reported difficult relationships with
their mothers. This difficulty manifested in numerous ways, from mothers who refused to talk about
sexual activity or birth control with their adolescent children to mothers who simply tossed contraceptive
pills across the dinner table at their daughters without further discussion. Journey toward empowerment One participant recalled how
distressing it was when her mother scheduled her first well woman exam at an abortion clinic. Several
women reported approaching their mothers for help in obtaining contraception only to find that help
denied. One woman discussed a conversation that did not feel age-appropriate to her: Well, when I got my period, I was 12, she told me I could get pregnant. And, um, I was still playing with
Barbie dolls and, um, sex was not something that was on my mind. For a very long time, even after that
conversation. So I was very confused. So she's not a person that I would really go to about anything
sexual whatsoever. This initial encounter had longer-term impacts that extended beyond adolescent sexual and reproductive
health. As noted in the quote above, the participant felt that she could not turn to her mother with these
kinds of personal questions going forward. For many women, they reported that they continued to feel
strained in terms of health-related conversations with their mothers. Thus, women found themselves
without full knowledge of their family health history or information about their mother’s experience with
menopause. However, women who had adolescent or young adult children prioritized talking to their children about
birth control and in many cases helped them select or procure their desired method. Women who had
negative experiences with their own mothers intentionally tried to create open and accessible dialogue
with their own children. They expressed a desire for the kind of communication and respect that they did
not receive themselves at that age. One participant noted: “Basically a lot of things that my mom did that
I didn't like, I made sure that I didn't do them with my child. Things like... I kind of used the reverse, um,
kind of like, this is what not to do as a parent.” Reclaiming the role of helper and advisor for their children
was empowering and essential for these women. kind of like, this is what not to do as a parent.” Reclaiming the role of helper and advisor for their children
was empowering and essential for these women. Finding the right fit: Evolution over time Page 7/14
Many women reported using fewer than 4 methods during their lifetime. Notably, half of the women in
this study had not used a hormonal method other than the pill. Many of the women who had continued
with the same method for decades reported no problems with side effects and general ease of use that
kept them from needing to change methods. A smaller number of women currently using a barrier or non- Page 7/14 hormonal method reported previous side effects of hormonal birth control that made them wary of all
hormonal methods. Among women who had used more than 4 methods during their life, many discussed changing over the
years to find a method that better aligned with their lifestyle. For several women, this meant gradually
shifting toward methods with smaller doses of hormones. For others, it meant exploring nondaily dosing
options or switching to a coitus-dependent method if they were not frequently sexually active. Hesitancy with hormonal contraception. Concern regarding the use of hormonal contraception was a
frequently discussed topic by participants. Some reported their hesitancy regarding hormones had
existed since they started using contraception in their youth. Avoiding pregnancy was so important to
these women when they were younger that they ignored their own hesitancy. As they got older, however,
they felt empowered to select a method that was more congruent with their desire to avoid exogenous
hormones. One woman said, “I've always been leery of [hormones], I just really wanted to protect myself
from becoming pregnant.” In a few instances, use of non-hormonal methods was made easier by an
increase in their knowledge about their own reproductive physiology, which helped them to feel more
confident using fertility awareness or a barrier method. So, while beliefs regarding hormones did not
change, the ability to act on them did. Other women vocalized a more recent hesitancy to use hormonal methods. For some women, this meant
not using hormonal methods at all, but for others, it meant using methods with a lower or more localized
dose. Many women expressed a desire to have more bodily awareness or a natural hormonal balance
and were looking for methods that allowed for hormonal fluctuations, ovulation, or both. Finding the right fit: Evolution over time Women who were unhappy with their current method of contraception were more likely than
women who were satisfied with their method to report feeling fatigued with continuing to deal with
contraception in midlife. One woman expressed the following: “Me and birth control are ready to break
up… I'd say it was a newness in my 20 s, and a steady relationship, you know, in my 30 s, but it's kind of
time to have that conversation to end things.” Interestingly, all of the women who reported dissatisfaction
with their contraceptive method felt that it was very important to use a method until reaching menopause. Anticipating a transition Women in midlife are certainly aware of the existence of menopause and its present or future impact on
their lives. To women in this study who did and did not desire more children, midlife was a time of
shifting health priorities. One participant explained the transition by saying: “I think you get, you get away
from like let's make sure your body's ready for a baby to let's make sure you don't die at 50.” Women in midlife are certainly aware of the existence of menopause and its present or future impact on
their lives. To women in this study who did and did not desire more children, midlife was a time of
shifting health priorities. One participant explained the transition by saying: “I think you get, you get away
from like let's make sure your body's ready for a baby to let's make sure you don't die at 50.”
Acknowledgement of health needs for a changing body. Almost all participants spoke of prioritizing their
own personal health and wellness. While most did not see menopause as a big, life-changing event, it did
make them start to think about how they should enter older adulthood by prioritizing themselves. Women
spoke of trying to eat better, exercise more, and integrate exercise that would counteract the stiffness and
decreased pliancy they already felt in their bodies. This view toward long-term health was not new for all
women, but it was something most of them shared in common. Finding the right fit: Evolution over time One woman who
had used contraceptive pills for many years expressed concern about the length of time she had been
using hormonal contraception: Um, when I was younger I used the pill, I was not worried about hormones when I was younger. Like, I
knew there was risks to it, but when I was young I was like "eh, whatever, this is the easiest and the best
way to do it, and I'm just gonna do it." And then as I've gotten older I've thought "You know what? I don't
think I should really be on the pill nonstop for twenty, thirty years." So, the thought of like, what something
is doing to my body has gotten more pronounced as I've gotten older. I care more about what it's doing to
me. Experiences with side effects or perceived risks. Although some women, especially those who had been
using the same methods for several decades, reported no problems with side effects, many women had
experienced side effects that influenced their perceptions of the safety and ease of use of contraception. For two women, a family history of breast cancer affected their perceptions regarding the safety of
hormonal birth control, especially regarding a method containing estrogen and their ages. Others had
experienced a decrease in their sex drive, an exacerbation of fibroids, and/or fatigue that they attributed
to their hormonal contraception since the fatigue improved when they stopped using that particular
method. A small number of women said that side effects they experienced, even if those side effects
happened several decades in the past, would likely deter them from using a hormonal method again. Page 8/14 Deciding to change methods. While the majority of women made these decisions on their own, a few
women specifically mentioned the role of their health care provider in prompting them to explore another
option. Generally, these suggestions were met positively, as long as the women felt the guidance was
individualized to their specific situation in life. Suggestions from the health care provider to change a
method in the absence of an identified problem, however, were met with suspicion and distrust by women
in this study. Birth control dissatisfaction and fatigue. A small number of women reported dissatisfaction with their
current method; their current method felt like a stopgap measure that would see them through to
menopause. Finding the right fit: Evolution over time One women spoke of her own shift
toward considering her health in midlife: “Yeah, you know what, this is the time to start you know, prevent
it- you know go ahead and make you're sure- checking on myself, now that I'm getting older.” [Participant
#7] While reproductive health was important, a shift in priorities seemed to be occurring for women in
midlife. Their own personal health and wellness could no longer be put on the backburner. One
participant summed it up saying: “It's not about sex and having babies. It's about, like, staying healthy.” Continuing to explore the possibility of pregnancy. While most of the women reported no plans for
pregnancy in midlife, seven of the twenty participants were actively trying to get pregnant or seriously
considering a pregnancy in the future. Women actively trying to get pregnant expressed some concern
about the likelihood of pregnancy given their age but felt hopeful and excited at the prospect of a
becoming a mother in midlife. The women considering another pregnancy all reported valuing a method
that gave them the ability to stop a method quickly and easily and allowed for a quick return to fertility. Speaking generally of women having children at older ages, one participant said: “I think that's a trend
that's not going to change particularly in terms of pregnancy and having children, um, and so I think there Page 9/14 Page 9/14 is sort of room to know more and kind of adjust our services and our attitudes accordingly to think about
how we can adjust the needs of women in their late 30s, early 40s with having kids, and kind of meet
them where they are...” is sort of room to know more and kind of adjust our services and our attitudes accordingly to think about
how we can adjust the needs of women in their late 30s, early 40s with having kids, and kind of meet
them where they are...” Interest in other methods. Although most of the women interviewed were satisfied with their birth control
method, some of these women vocalized interest in other methods. Primarily, women discussed that they
would use an intrauterine device (IUDs), especially the levonorgestrel system, if they were younger. Discussion The aim of this paper was to explore the ways in which the arc of time, including the events of the past as
well as looking toward the future, influenced the contraceptive beliefs, preferences, and attitudes of
women in midlife. From reviewing extant literature, it appears that this research is the first of its kind to
qualitatively address the contraceptive journeys of women in midlife. Exploring contraception as a
journey over time allows for the inclusion of women’s lived experiences, providing space and
consideration for specific fears and concerns while treating the personal as more important than the
scientific. Women in midlife, like women across the lifespan, make contraceptive decisions based on
numerous individual factors. Pregnancy prevention and method effectiveness, once gold standards in
family planning research and development, may or may not be strongly considered at all times by all
individuals [13, 20]. For women in this study, contraception in midlife was something to be considered
within the greater context of their lives, instead of their primary focus as it may have been when they were
younger. First experiences with seeking contraception are important life events that are often remembered long
after they occur. At a clinical and policy level, it is essential to ensure that women have access to
affordable or no-cost contraception at any age. Over-the-counter contraception or ensuring parent
consent is not required for any family planning service including abortion, and more targeted education in
schools, can help address this at the policy level [21–23]. Mothers and fathers are often the gate-keepers
to this information and access, but, as noted by many participants, can often put up barriers themselves. There also needs to be a concerted effort to ensure that parents have the right information and training to
know how and when to talk to their children about sex and contraception. Evidence-based educational
efforts are necessary to ensure parents have the tools to fulfill this important function for their children
[24, 25]. Women who reported negative experiences with their mothers during adolescence were often the
same women who did not, in later years, feel comfortable asking about menopause or their family’s
health histories. This could result is missed opportunities for screenings and other types of intervention. Eight women in the present study expressed hesitation at the use of exogenous hormones for
contraception. Finding the right fit: Evolution over time Some
had used the method before and liked it but felt that there would not be enough time left before
menopause to use it to justify the hassle of getting an appointment to have it placed. Discussion Women were split between those who had felt this way their entire adult life and those
who had become more wary with age, because of an experience with side effects or a concern over Page 10/14 Page 10/14 specific medical conditions. These findings mirror the results of a small number of US-based studies
focused on adolescent and young women, all of which pointed to a hesitancy regarding hormones that is
not often discussed clinically [26, 27]. Contradictory results about the safety and risks of hormone
replacement therapy (HRT) from the Women’s Health Initiative study further compound this hesitancy,
especially for women in midlife [28]. Even those women without specific fears regarding hormones spoke
to concerns regarding side effects of contraception. These findings may indicate a need for further
patient education about the safety of hormonal contraception. Alternatively, it may point to a need for
more targeted research on the effects of the exogenous hormones used in contraception specifically in
women in midlife, as this age-group is often left out of contraceptive research. Another clinically relevant finding was that many women vocalized interest in a different method but felt
that it was too late because of the amount of time remaining before menopause. Many of the women
who expressed this concern were specifically referring to the levonorgestrel-releasing IUD, which, at least
theoretically, may decrease potentially bothersome perimenopausal symptoms such as irregular bleeding
[29, 30]. Women reach menopause on average at the age of 51, meaning that many of the women who
vocalized interest in an IUD would likely have received many years of highly effective pregnancy
prevention and perhaps even a reduction in perimenopausal symptomology [31]. Because hormonal
contraception often masks the symptoms of perimenopause, it is often difficult to identify the onset on
menopause in individuals using hormonal contraception. Thus, for those individuals who wish to
continue using hormonal contraception, clinicians should specifically relay information from clinical
guidelines [31] that encourage continuation of contraception until age 55. Knowledge of the specifics of
this time frame may assist women in creating the best contraceptive plan for their needs and desires. This study was limited in the following ways: Despite the overall high percentage of participants who
were a racial or ethnic minority, had a lower socioeconomic status, or were a sexual minority, many racial
and ethnic groups were not represented in this research. Discussion Specifically, because speaking English was part
of the inclusion criteria, non-English speakers, which are a significant population in this geographic area,
were not able to participate. Focus on these communities and other populations, such as sexual and
gender minorities, would be beneficial. Additionally, the positionality of the first author who conducted the
interviews, as a white, cisgendered, heterosexual female who worker as provider of women’s health, likely
exacerbated imbalances of power, privilege, and knowledge creation among study participants [32]. IUD – intrauterine device
STI – sexually transmitted infection IUD – intrauterine device
STI – sexually transmitted infection Declarations This study was paid for in part by the Stuart Dissertation Award given by the Medical University of South
Carolina’s College of Nursing. Conclusions Women in midlife are a dynamic and empowered group. They are certainly not a monolith, as many still
desire pregnancy while others have moved on to another stage of their lives. Some adore their combined
hormonal pills and others have long ago written off exogenous hormones. But they are similar in their
consideration of long-term planning regarding their personal health. If the past two decades are any
indication, contraception will continue to evolve to include new devices, delivery systems, and hormonal
formulations. By examining the women in midlife who have been privy to the changes during their
lifetimes, there is much to gain in terms of understanding contraceptive beliefs, priorities, and attitudes. Page 11/14 Page 11/14 The ability to access, use, and control contraception when it is desired is a hallmark of reproductive
justice and personal autonomy across the lifespan [13]. References 1. Ten Great Public Health Achievements -- United States, 1900-1999. MMWR Weekly. 1999;48(12):241-
3. 1. Ten Great Public Health Achievements -- United States, 1900-1999. MMWR Weekly. 1999;48(12):241- 1. Ten Great Public Health Achievements -- United States, 1900-1999. MMWR Weekly. 1999;48(12):241 2. Daniels K, Mosher W. Contraceptive methods women have ever used: United States, 1982-2010. Natl
Health Stat Report. 2013(62):1-15. 2. Daniels K, Mosher W. Contraceptive methods women have ever used: United States, 1982-2010. Nat
Health Stat Report. 2013(62):1-15. 3. Gomez AM, Arteaga S, Aronson N, Goodkind M, Houston L, West E. No Perfect Method: Exploring
How Past Contraceptive Methods Influence Current Attitudes Toward Intrauterine Devices. Arch Sex
Behav. 2020;49(4):1367-78. 4. Downey MM, Arteaga S, Villasenor E, Gomez AM. More Than a Destination: Contraceptive Decision
Making as a Journey. Women's health issues. 2017;27(5):539-45. 5. Nelson AL, Cohen S, Galitsky A, Hathaway M, Kappus D, Kerolous M, et al. Women's perceptions and
treatment patterns related to contraception: results of a survey of US women. Contraception. 2018;97(3):256-73. 6. Woods NF, Bachmann G. Contraception for midlife women: lack of information? Lack of interest? Lack of investment? Women's midlife health. 2017;3:7. 7. Harlow SD, Dusendang JR, Hood MM, Woods NF. Contraceptive preferences and unmet need for
contraception in midlife women: where are the data? Women's midlife health. 2017;3:6. 8. Alspaugh A, Barroso J, Reibel M, Phillips S. Women's Contraceptive Perceptions, Beliefs, and
Attitudes: An Integrative Review of Qualitative Research. Journal of midwifery & women's health. 2020;65(1):64-84. 9. Foster DG. Unmet need for abortion and woman-centered contraceptive care. Lancet. 2016;388(10041):216-7. 10. Dehlendorf C, Reed R, Fox E, Seidman D, Hall C, Steinauer J. Ensuring our research reflects our
values: The role of family planning research in advancing reproductive autonomy. Contraception. 2018;98(1):4-7. Page 12/14 Page 12/14 11. Brandi K, Fuentes L. The History of Tiered-Effectiveness Contraceptive Counseling and its Effects on
Patient-Centered Family Planning Care. American journal of obstetrics and gynecology. 2020;222(4S):S873-S877. 12. Higgins JA. Celebration meets caution: LARC's boons, potential busts, and the benefits of a
reproductive justice approach. Contraception. 2014;89(4):237-41. 13. Potter JE, Stevenson AJ, Coleman-Minahan K, Hopkins K, White K, Baum SE, et al. Challenging
unintended pregnancy as an indicator of reproductive autonomy. Contraception. 2019;100(1):1-4. 14. Im EO. Practical guidelines for feminist research in nursing. ANS Advances in nursing science. 2013;36(2):133-45. 15. Moser A, Korstjens I. Series: Practical guidance to qualitative research. Part 3: Sampling, data
collection and analysis. References The European journal of general practice. 2018;24(1):9-18. 16. Sandelowski M. Sample size in qualitative research. Res Nurs Health. 1995;18(2):179-83. 17. Willis DG, Sullivan-Bolyai S, Knafl K, Cohen MZ. Distinguishing Features and Similarities Between
Descriptive Phenomenological and Qualitative Description Research. West J Nurs Res. 2016;38(9):1185-204. 18. Colorafi KJ, Evans B. Qualitative Descriptive Methods in Health Science Research. Herd. 2016;9(4):16-25. 19. Sandelowski M. Whatever happened to qualitative description? Research in nursing & health. 2000;23(4):334-40. 20. Callegari LS, Aiken AR, Dehlendorf C, Cason P, Borrero S. Addressing potential pitfalls of reproductive
life planning with patient-centered counseling. American journal of obstetrics and gynecology. 2017;216(2):129-34. 21. Fuentes L, Ingerick M, Jones R, Lindberg L. Adolescents' and Young Adults' Reports of Barriers to
Confidential Health Care and Receipt of Contraceptive Services. The Journal of adolescent health :
official publication of the Society for Adolescent Medicine. 2018;62(1):36-43. 22. Lopez LM, Bernholc A, Chen M, Tolley EE. School-based interventions for improving contraceptive
use in adolescents. The Cochrane database of systematic reviews. 2016(6):Cd012249. 22. Lopez LM, Bernholc A, Chen M, Tolley EE. School-based interventions for improving contraceptive
use in adolescents. The Cochrane database of systematic reviews. 2016(6):Cd012249. 23. Wilkinson TA, Miller C, Rafie S, Landau SC, Rafie S. Older teen attitudes toward birth control access in
pharmacies: a qualitative study. Contraception. 2018;97(3):249-55. 23. Wilkinson TA, Miller C, Rafie S, Landau SC, Rafie S. Older teen attitudes toward birth control access in
pharmacies: a qualitative study. Contraception. 2018;97(3):249-55. 24. Santa Maria D, Markham C, Bluethmann S, Mullen PD. Parent-based adolescent sexual health
interventions and effect on communication outcomes: a systematic review and meta-analyses. Perspectives on sexual and reproductive health. 2015;47(1):37-50. 24. Santa Maria D, Markham C, Bluethmann S, Mullen PD. Parent-based adolescent sexual health
interventions and effect on communication outcomes: a systematic review and meta-analyses. Perspectives on sexual and reproductive health. 2015;47(1):37-50. 25. Ford CA, Mirman JH, Garcia-Espana JF, Fisher Thiel MC, Friedrich E, Salek EC, et al. Effect of Primary
Care Parent-Targeted Interventions on Parent-Adolescent Communication About Sexual Behavior and
Alcohol Use: A Randomized Clinical Trial. JAMA network open. 2019;2(8):e199535. 25. Ford CA, Mirman JH, Garcia-Espana JF, Fisher Thiel MC, Friedrich E, Salek EC, et al. Effect of Primary
Care Parent-Targeted Interventions on Parent-Adolescent Communication About Sexual Behavior and
Alcohol Use: A Randomized Clinical Trial. JAMA network open. 2019;2(8):e199535. 26. Coombe J, Harris ML, Loxton D. References Motivators of contraceptive method change and implications for
long-acting reversible contraception (non-)use: A qualitative free-text analysis. Sexual & reproductive 26. Coombe J, Harris ML, Loxton D. Motivators of contraceptive method change and implications for
long-acting reversible contraception (non-)use: A qualitative free-text analysis. Sexual & reproductive Page 13/14 Page 13/14 healthcare : official journal of the Swedish Association of Midwives. 2019;19:71-7. 27. Chernick LS, Schnall R, Higgins T, Stockwell MS, Castano PM, Santelli J, et al. Barriers to and
enablers of contraceptive use among adolescent females and their interest in an emergency
department based intervention. Contraception. 2015;91(3):217-25. 28. Langer RD. The evidence base for HRT: what can we believe? Climacteric. 2017;20(2):91-6. 28. Langer RD. The evidence base for HRT: what can we believe? Climacteric. 2017;20(2):91-6. 29. Wildemeersch D. Why perimenopausal women should consider to use a levonorgestrel intrauterine
system. Gynecological endocrinology : the official journal of the International Society of
Gynecological Endocrinology. 2016;32(8):659-61. 29. Wildemeersch D. Why perimenopausal women should consider to use a levonorgestrel intrauterine
system. Gynecological endocrinology : the official journal of the International Society of
Gynecological Endocrinology. 2016;32(8):659-61. 30. Miller TA, Allen RH, Kaunitz AM, Cwiak CA. Contraception for midlife women: a review. Menopause
(New York, NY). 2018;25(7):817-27. 30. Miller TA, Allen RH, Kaunitz AM, Cwiak CA. Contraception for midlife women: a review. Menopause
(New York, NY). 2018;25(7):817-27. 31. ACOG Practice Bulletin No. 141: management of menopausal symptoms. Obstet Gynecol. 2014;123(1):202-16. 31. ACOG Practice Bulletin No. 141: management of menopausal symptoms. Obstet Gynecol. 2014;123(1):202-16. 32. Muhammad M, Wallerstein N, Sussman AL, Avila M, Belone L, Duran B. Reflections on Researcher
Identity and Power: The Impact of Positionality on Community Based Participatory Research (CBPR)
Processes and Outcomes. Critical Sociology. 2014;41(7-8):1045-63. 32. Muhammad M, Wallerstein N, Sussman AL, Avila M, Belone L, Duran B. Reflections on Researcher
Identity and Power: The Impact of Positionality on Community Based Participatory Research (CBPR)
Processes and Outcomes. Critical Sociology. 2014;41(7-8):1045-63. Page 14/14
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Synergistic TLR2/6 and TLR9 Activation Protects Mice against Lethal Influenza Pneumonia
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Synergistic TLR2/6 and TLR9 Activation Protects Mice
against Lethal Influenza Pneumonia
Michael J. Tuvim1,2, Brian E. Gilbert3, Burton F. Dickey1,2, Scott E. Evans1,2*
1 Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America, 2 Center for Infectious and
Inflammatory Diseases, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, Texas, United States of America, 3 Department of Molecular
Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America
Abstract
Lower respiratory tract infections caused by influenza A continue to exact unacceptable worldwide mortality, and recent
epidemics have emphasized the importance of preventative and containment strategies. We have previously reported that
induction of the lungs’ intrinsic defenses by aerosolized treatments can protect mice against otherwise lethal challenges
with influenza A virus. More recently, we identified a combination of Toll like receptor (TLR) agonists that can be aerosolized
to protect mice against bacterial pneumonia. Here, we tested whether this combination of synthetic TLR agonists could
enhance the survival of mice infected with influenza A/HK/8/68 (H3N2) or A/California/04/2009 (H1N1) influenza A viruses.
We report that the TLR treatment enhanced survival whether given before or after the infectious challenge, and that
protection tended to correlate with reductions in viral titer 4 d after infection. Surprisingly, protection was not associated
with induction of interferon gene expression. Together, these studies suggest that synergistic TLR interactions can protect
against influenza virus infections by mechanisms that may provide the basis for novel therapeutics.
Citation: Tuvim MJ, Gilbert BE, Dickey BF, Evans SE (2012) Synergistic TLR2/6 and TLR9 Activation Protects Mice against Lethal Influenza Pneumonia. PLoS
ONE 7(1): e30596. doi:10.1371/journal.pone.0030596
Editor: Man-Seong Park, College of Medicine, Hallym University, Republic of Korea
Received September 23, 2011; Accepted December 23, 2011; Published January 27, 2012
Copyright: ß 2012 Tuvim 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 funds from National Institutes of Health (NIH) grant U01 AI82226 (BFD and SEE), the MD Anderson Physician-Scientist
Program (SEE), and the resources of the MD Anderson Cancer Center Support Grant P30 CA016672. 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 read the journal’s policy and have the following conflicts: MJT, BFD, and SEE are authors on a related United States
patent application entitled ‘‘Stimulation of Innate Resistance of the Lungs to Infection with Synthetic Ligands’’ (US Patent application 61/163,137, filed 3/25/09),
and MJT and BFD are authors on a related patent entitled ‘‘Compositions and Methods for Stimulation of Lung Innate Immunity’’ (US patent application 60/
833,857, filed 7/28/06). MJT, BFD, and SEE own stock in Pulmotect, Inc., which holds the commercial options on these patent disclosures. The other authors have
no financial conflicts of interest. This does not alter the authors’ adherence to all the PLoS ONE policies on sharing data and materials.
* E-mail: seevans@mdanderson.org
[17,18], and host factors that impair initiation or maintenance
of vaccine-induced immunity [19,20,21].
These concerns led us to investigate whether the intrinsic
defense mechanisms of the lungs could be stimulated to broadly
protect against pneumonias, independent of vaccine status. We
have previously reported that stimulation of lung innate immunity
with an aerosolized bacterial lysate could protect against
pneumonia caused by bacterial, fungal and viral pathogens,
including otherwise lethal influenza A challenges [22,23,24,25,
26,27]. More recently, we reported that an aerosolized combination of synthetic Toll-like receptor (TLR) agonists could
recapitulate the protection conferred by the lysate against bacterial
infections [25,28], leading to the question of whether protection
against viral pneumonia could also be achieved using this novel
combination of TLR ligands. Here, we report that synthetic
ligands for TLR2/6 and TLR9 induce robust protection against
lethal influenza pneumonia, including from swine-origin H1N1
influenza.
Introduction
Worldwide, lower respiratory tract infections cause more
premature death and disability than any other condition [1,2,3].
Most years, seasonal influenza pneumonia alone causes more than
40,000 deaths in the United States, despite vaccination programs
that have been in place for decades [4,5]. Pandemic influenzas
have even more profound mortality impacts, with more than 50
million influenza-related deaths reported in 1918–9 [6]. The
ongoing susceptibility of populations to pandemic influenza was
emphasized by the rapid international spread of swine-origin
H1N1 influenza in 2009 [7,8,9]. Further, the anticipated humanto-human transmission of avian-origin H5N1 influenza, which has
already claimed 335 lives worldwide (www.who.int/csr/disease/
avian_influenza/) by zoonotic transmission, serves as an obvious
indicator of the persisting risk of pandemics [9,10]. Respiratory
viruses, including influenza, have also been characterized as
potential agents of bioterror [11].
While a universal influenza vaccine is desirable, efficacy of such
a vaccine capable of protecting against future pandemics has not
yet been demonstrated [12]. Moreover, it is inevitable in the
foreseeable future that populations will remain susceptible to
seasonal influenza due to incomplete seasonal vaccination
programs [13,14,15,16], epidemiologically-predicted trivalent
vaccines that fail to confer immunity to a prevalent strain
PLoS ONE | www.plosone.org
Results
Synergistic TLR2/6 and TLR9 stimulation protects against
lethal influenza pneumonia
Wildtype mice were challenged with a lethal inoculum of
influenza A/Hong Kong/8/68 (H3N2) 1 d after a single
1
January 2012 | Volume 7 | Issue 1 | e30596
TLR Synergy Protects against Influenza Pneumonia
aerosolized treatment with synthetic TLR ligand(s) or PBS (sham),
then observed for 22 d. Treatment of mice with a TLR2/6 agonist
(Pam2CSK4, ‘‘Pam2’’) alone or a TLR9 agonist (ODN2395,
‘‘ODN’’) alone resulted in no protection against lethal influenza
pneumonia. However, when both treatments were concurrently
delivered (Pam2-ODN) prior to the viral challenge, survival of the
infectious challenge was significantly enhanced (Figure 1A).
Similarly, while the mean weight loss of mice treated with single
ligands did not differ from the infection-related weight loss of
sham-treated mice, the mean weight loss of mice treated with
Pam2-ODN was significantly less (p,0.05) than that of the shamtreated mice for days 4–14 after infection (Figure 1B). The nonsignificant weight differences observed after day 14 reflect the
recovery phase of just two surviving PBS-treated mice and the
heterogeneous recovery rates in the Pam2-ODN treated mice.
Intuitively, the weight curves of the surviving Pam2-ODN-treated
mice and the PBS-treated mice would be expected to eventually
converge at a time beyond the period of observation. As the
induced protective effect was substantially greater than additive
effect of the individual TLR ligands alone, the Pam2-ODNinduced protection is recognized as synergistic in nature. This is
consistent with the synergistic protection we have previously
observed in mice pretreated with this TLR ligand combination
prior to bacterial challenges [28].
TLR-induced resistance to influenza pneumonia is
inducible before or after infection
Our previous studies of inducible resistance indicate that the
stimulating treatment can be delivered after the infectious
challenge, even when mice are challenged with otherwise lethal
inocula of influenza [24,27,28]. To determine whether the
protective phenomenon of TLR synergy-induced resistance to
influenza was restricted to only prophylactic treatment 1 d
before viral exposure, mice were challenged after treatment
with Pam2-ODN 3 d prior to infection or 1 d after infection,
and compared to mice treated 1 d prior to infection or treated
with PBS alone. As shown in Figure 2A, survival was
significantly enhanced for each Pam2-ODN treatment group
compared to PBS-treated mice. Similarly, weight loss was less
for all of the Pam2-ODN treated groups by day 10 after
infection and this persisted through the end of the observation
period (p,0.05, Figure 2B). While the mice treated with Pam2ODN on the day after viral infection transiently averaged 1–2 g
less than the PBS treated mice (days 2 to 7), all three Pam2ODN treated groups exceeded the mean of the PBS treated
mice for most of the observation period. Consistent with our
prior observations [27], the greatest induced protection was
associated with the greatest reductions in the lung viral titers
4 d after infection (Figure 2C). However, as we have also
previously described, the nonsignificant trend towards reduction in viral titer in the mice treated with Pam2-ODN 3 d prior
to challenge suggests that early reductions in viral titer are
likely only one determinant of the inducible protection. The
authors postulate, for example, that treatment may also
attenuate the native, injurious inflammatory host response to
the virus, may enhance containment of the infection within the
lungs, may prevent death due to secondary bacterial infections
and may foster effective ongoing viral clearance in addition to
rapid induction of pathogen killing. And, much like the
cytokine-induced antiviral state is observed in certain leukocytes, it is possible that the TLR stimulus may directly reduce
the ability of virus to infect its primary target, the respiratory
epithelium.
PLoS ONE | www.plosone.org
Figure 1. Synergistic TLR stimulation protects against lethal
influenza pneumonia, while individual TLR ligands confer no
protection. Swiss-Webster mice were challenged with influenza A/
Hong Kong/8/68 (H3N2) 24 h after aerosolized treatment with PBS
(sham), Pam2, ODN or both (Pam2-ODN). Shown are survival (A) and
body weight (B) of the mice through day 22 after infection (mean 6
s.d.). (n = 20 mice/group; *p = 0.03 vs. PBS treated).
doi:10.1371/journal.pone.0030596.g001
TLR3 stimulation does not enhance TLR2/6 and TLR9
protection against influenza pneumonia
Treatments that activate TLR3 in mice have been reported to
enhance antiviral immunity, including induction of protection
against influenza [29,30,31,32,33]. We tested whether treatment
of mice with the TLR3 agonist poly(I:C) would protect against
influenza in our lethal infection model. As shown in Figure 3A, we
found that poly(I:C) treatment delivered 1 d prior to influenza
challenge did result in improved survival, supporting the prior
literature. However, a single treatment with poly(I:C) resulted in
less protection than a single treatment with Pam2-ODN.
Moreover, the addition of poly(I:C) had no discernable effect on
the synergistic response to Pam2-ODN, as the concurrent
2
January 2012 | Volume 7 | Issue 1 | e30596
TLR Synergy Protects against Influenza Pneumonia
mean 6 s.d.). (n = 20 mice group for survival and weight, n – 5 mice/
group for lung titers; * p,0.0001 vs. PBS treated, ** p,0.002 vs. PBS
treated, { p,0.05 vs. PBS treated).
doi:10.1371/journal.pone.0030596.g002
administration of the TLR3 ligand with the TLR2/6 and TLR9
ligands resulted in no significant differences in survival or body
weight. We found that doubling the concentration of Pam2-ODN
further improved survival to 100% (Figure 3). At this level of
protection, the survival and weight changes of the 1x and 2x
Pam2-ODN-treated groups cannot be statistically distinguished
from each other. However, it is notable that the increased dose was
Figure 3. Synergistic TLR2/6 and TLR9 protects against
influenza with or without TLR3 stimulation. Mice were challenged
with influenza 1 day after a single inhaled treatment with the described
treatments. Shown are survival (A) and body weight (B) of mice
through 22 days after challenge (mean 6 s.d.). ‘‘2x’’ indicates doubling
of the concentration of all TLR ligand components in a corresponding
‘‘1x’’ treatment. (n = 20 mice/group; * p,0.00001 vs. PBS treated, **
p,0.02 vs. PBS treated, { p,0.0001 vs. poly(I:C) treated, {{ p = 0.002 vs.
poly(I:C) treated, # p = 0.004 vs. poly(I:C) treated).
doi:10.1371/journal.pone.0030596.g003
Figure 2. Synergistic TLR stimulation protects against influenza pneumonia whether given before or after infection. Mice
were challenged with influenza A following a single aerosolized
treatment with Pam2-ODN 3 d before infection, 1 d before infection
or 1 d after infection or following a single aerosol treatment with PBS
1 d before infection. Shown are survival (A) and body weight (B) of the
mice through day 22 after infection (mean 6 s.d.). Log viral titer of lung
homogenates is shown for day 4 after infection for the same groups (C,
PLoS ONE | www.plosone.org
3
January 2012 | Volume 7 | Issue 1 | e30596
TLR Synergy Protects against Influenza Pneumonia
protect against bacterial pneumonia [28]. To test whether class C
CpG ODNs are specifically required for TLR-inducible resistance
to influenza, we treated groups of mice with one of several
aerosolized treatments one day prior to influenza infection. The
treatments consisted of Pam2 plus one CpG ODN (class A, B or C)
or PBS only, as shown in Figure 4. In contrast to our experience
with the bacterial models, all classes of CpG ODNs synergized
with Pam2 to protect against influenza pneumonia. As a group,
the class C CpG ODNs again protected significantly better nonClass C CpG ODNs (p = 0.025). However, all tested CpG ODNs
synergized to some extent with Pam2, and some Class A and Class
B CpG ODNs protected as well as Class C ligands when combined
with Pam2.
well tolerated by the mice, inducing neither distress nor worsening
survival.
Protection is not associated with induction of lung
interferon expression
Our prior studies of lysate-induced resistance to influenza
revealed significant induction of both type I and type II interferon
expression [27]. Given prior data suggesting that lung epithelial
cells play a critical role in inducible resistance [22,24,26,28], we
first assessed Pam2-ODN-induced interferon signaling in MLE-15
lung epithelial cells in isolation. As shown in Table 1, we did not
observe the induction of type I, II or III interferon expression by
these cells following treatment with Pam2-ODN, despite analyzing
identical time points to those studied when investigating lysateinduced protection. While the epithelium appears to play an
important role in inducible resistance, we recognized that
recruited leukocytes might be the source of the previously observed
lysate-induced interferons in the lungs. So, wildtype mice were
treated with Pam2-ODN or PBS, and interferon gene expression
was analyzed in whole lung homogenates. Again, we did not detect
significant induction of interferon genes or known interferonsensitive antiviral genes by Pam2-ODN treatment, although we
did find induction of some interferon receptors. Although there
was significant induction of Janus Kinase 1 (JAK1, p,0.01), JAK2
(p,0.00001), and Signal Transducer and Activator of Transcription 1 (STAT1, p,0.00001) expression following PAM2-ODN
treatment, pathway analysis did not associate inducible resistance
with TLR-enriched interferon signaling (compared to PBStreated, p = 1.0). To ensure that the absence of interferon-related
gene expression was not the result of an insufficient therapeutic
stimulus or an insensitive detection technique, we also analyzed
interferon-independent, pro-inflammatory cytokine gene expression. Table 2 presents 15 representative examples of these proinflammatory cytokines and chemokines that are significantly
enriched in the same samples analyzed in Table 1. Unlike the
negligible changes seen in the interferon-dependent genes,
treatment with Pam2-ODN results in robust expression of IL-6,
TNF, IL-1a, IL-1b, and multiple chemokines. In most examples,
these findings were observed from both MLE-15 cells in isolation
and from whole lung homogenates 4 h after Pam2-ODN
treatment.
The role of these inflammatory cytokines in inducible resistance
remains unclear. IL-6 and TNF were even more robustly induced
by the lysate than by Pam2-ODN, but we have shown that they
were not required for protection against bacterial pneumonia [24].
Also, given the demonstrations of tachyphylaxis to leukocyte
infiltration, but not protection, with repetitive treatments, the
induction of these products may represent an epiphenomenon that
provides a useful biomarker but may be mechanistically
unimportant. However, it is interesting that the four proinflammatory cytokines induced by Pam2-ODN 4 h after
treatment (IL-1a, IL-1b, IL-6, and TNF) are also the first four
pro-inflammatory cytokines induced from respiratory epithelial
cells in native influenza infections [34]. While the principal
antiviral function of these cytokines is generally presumed to be
leukocyte activation, it is conceivable that they also directly shape
the epithelial response and that they may eventually prove to be
required.
Synergistic TLR2/6 and TLR9 stimulation protects against
swine-origin H1N1 influenza
To confirm that Pam2-ODN-induced protection was not
restricted to a single influenza strain, we tested the ability of
Pam2-ODN to protect against highly lethal swine-origin H1N1
influenza. As shown in Figure 5, a single inhaled treatment with
Pam2-ODN significantly improved mouse survival of otherwise
lethal challenge.
Discussion
Viral lower respiratory tract infections, particularly those caused
by influenza viruses, continue to inflict tremendous annual
worldwide mortality [35]. Further compounding this public health
urgency are the persisting threat of pandemic influenza infection
and an increasing resistance to available antivirals, such as
neuraminidase inhibitors [36,37].
In this study, we find that induction of innate immunity in the
lungs with a novel combination of synthetic TLR ligands results in
robust protection against otherwise lethal influenza. Consistent
with our earlier descriptions of inducible resistance to influenza
pneumonia, this protection is generally associated with reductions
in the lung viral titers of treated mice [27], though this association
is not always observed. Also consistent with our reports of
protection induced by treatment of mice with an aerosolized
treatment with a bacterial lysate, protection could be induced
whether the treatment was applied before or after infection [27].
Type I and II interferon responses have both been identified by
other groups as essential to effective antiviral host responses
[38,39]. However, in notable contrast with our observations in
lysate-induced resistance to influenza pneumonia [27], we do not
find that Pam2-ODN treatment induces significant interferonrelated gene expression. As the current studies were not performed
in interferon-deficient mice, it is impossible to exclude any role for
low-level interferon signaling in Pam2-ODN-induced pneumonia.
However, these findings do suggest that reconsideration of the
lysate-induced changes in gene expression might be necessary. We
previously observed that the lysate induced significant type I and II
interferon signaling in the absence of infection, but we also
demonstrated that interferon -c levels in the lungs of infected mice
were lower if they had been pretreated with the aerosolized lysate.
At that time, we interpreted this to mean that the interferon
response was important to inducible resistance, but that the
effective interferon response also limited ongoing interferon
signaling following clearance of the pathogen. While that
interpretation may be correct, the new observation of protection
without induction of interferon signaling raises the competing
interpretation that interferon signaling is not required for either
lysate- or Pam2-ODN-induced resistance to pneumonia. This
would be consistent with other prior observations that interleukin-
Class C CpG ODNs synergize most effectively with TLR2/6
agonist to protect against influenza pneumonia
We have reported that only class C CpG ODNs can effectively
activate TLR9 in a manner that synergizes with TLR2/6 to
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TLR Synergy Protects against Influenza Pneumonia
Table 1. Interferon responses to Pam2-ODN.
Symbol
MLE-15 Fold
Change
Lung Fold
Change
Definition
Accession
Bak1
«
«
Bcl2-antagonist/killer 1
NM_007523.2
Bax
«
Q 1.6
Bcl2-associated X protein
NM_007527.2
Bcl2
«
«
B-cell leukemia/lymphoma 2, variant 2
NM_177410.2
Gvin1
«
«
GTPase, very large interferon inducible 1, variant B
NM_001039160.2
Ifi202b
«
«
Interferon activated gene 202B
NM_008327.1
Ifi203
«
«
Interferon activated gene 203, transcript variant 2
NM_008328.2
Ifi204
«
«
Interferon activated gene 204
NM_008329.2
Ifi205
«
«
Interferon activated gene 205
NM_172648.3
Ifi27
«
«
Interferon alpha-inducible protein 27
NM_029803.1
Ifi30
«
«
Interferon gamma inducible protein 30
NM_023065.3
Ifi35
«
Q 1.4
Interferon-induced protein 35
NM_027320.4
Ifi44
«
«
Interferon-induced protein 44
NM_133871.1
Ifi47
q 3.3
q 2.6
Interferon gamma inducible protein 47
NM_008330.1
Ifih1
«
«
Interferon induced with helicase C domain 1
NM_027835.1
Ifit1
«
«
Interferon-induced protein with tetratricopeptide repeats 1
NM_008331
Ifit2
«
q 1.9
Interferon-induced protein with tetratricopeptide repeats 2
NM_008332.2
Ifit3
«
«
Interferon-induced protein with tetratricopeptide repeats 3
NM_010501.2
Ifitm1
«
«
Interferon induced transmembrane protein 1
NM_026820.2
Ifitm2
«
q 1.6
Interferon induced transmembrane protein 2
NM_030694.1
Ifitm3
«
«
Interferon induced transmembrane protein 3
NM_025378.2
Ifitm5
«
«
Interferon induced transmembrane protein 5
NM_053088.2
Ifitm6
«
«
Interferon induced transmembrane protein 6
NM_001033632.1
Ifitm7
«
«
Interferon induced transmembrane protein 7
NM_028968.1
Ifna1
«
«
Interferon alpha 1
NM_010502.2
Ifna2
«
«
Interferon alpha 2
NM_010503.2
Ifna4
«
«
Interferon alpha 4
NM_010504.1
Ifna5
«
«
Interferon alpha 5
NM_010505.1
Ifna6
«
«
Interferon alpha 6
NM_206871.1
Ifna7
«
«
Interferon alpha 7
NM_008334.2
Ifna9
«
«
Interferon alpha 9
NM_010507.1
Ifna11
«
«
Interferon alpha 11
NM_008333.1
Ifna12
«
«
Interferon alpha 12
NM_177361.2
Ifna13
«
«
Interferon alpha 13
NM_177347.2
Ifna14
«
«
Interferon, alpha 14
NM_206975.1
Ifnab
«
«
Interferon alpha B
NM_008336.2
Ifnar1
«
«
Interferon alpha and beta receptor 1
NM_010508.1
Ifnar2
«
q 3.0
Interferon alpha and beta receptor 2
NM_010509.1
Ifnb1
«
«
Interferon beta 1, fibroblast
NM_010510.1
Ifne1
«
«
Interferon epsilon 1
NM_177348.2
Ifng
«
«
Interferon gamma
NM_008337.1
Ifngr1
«
q 1.4
Interferon gamma receptor 1
NM_010511.2
Ifngr2
q 2.5
q 1.7
Interferon gamma receptor 2
NM_008338.2
NM_199157.2
Ifnk
«
«
Interferon kappa
Ifnz
«
«
Interferon zeta
NM_197889.1
Ifrg15
«
«
Interferon alpha responsive gene 15
NM_022329.3
NM_018738.3
Igtp
«
q 1.4
Interferon gamma induced GTPase
Iigp1
«
«
Interferon inducible GTPase 1
NM_021792.3
Iigp2
«
q 1.5
Interferon inducible GTPase 2
NM_019440.2
Isg20
«
«
Interferon-stimulated protein 20
NM_020583.4
PLoS ONE | www.plosone.org
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January 2012 | Volume 7 | Issue 1 | e30596
TLR Synergy Protects against Influenza Pneumonia
Table 1. Cont.
Symbol
MLE-15 Fold
Change
Lung Fold
Change
Definition
Accession
Mx1
«
«
Myxovirus (influenza virus) resistance 1
NM_010846.1
Oas1a
«
«
29-59 oligoadenylate synthetase 1A
NM_145211.1
Psmb8
«
«
Proteasome subunit beta type 8
NM_010724.1
Tap1
«
«
Transporter 1, ATP-binding cassette, sub-family B
NM_013683.1
Transcriptional responses of interferon and known interferon-sensitive antiviral genes 4 h after treatment of MLE-15 cells in vitro or mouse lungs in vivo with Pam2-ODN.
Fold change compares Pam2-ODN-treated samples to PBS-treated samples. « indicates no significant change in gene expression between PBS treated and Pam2-ODN
treated samples, q indicates induction of transcription by Pam2-ODN, Q indicates repression of transcription by Pam2-ODN.
doi:10.1371/journal.pone.0030596.t001
degree of synergizing with Pam2 [28]. Synthetic CpG ODNs can
be structurally and functionally categorized into broad classes
[41,42,43,44]. Class A ODNs have palindromic sequences on
phosphodiester backbones and classically induce secretion of type I
and II interferons from leukocytes. Class B ODNs have linear 6mers on phosphorothioate backbones that induce B cell proliferation and expression of interleukins-6 and -10. Class C ODNs
possess characteristics of both A and B classes [43,45]. These classspecific responses presumably arise from differential endosomal
compartmentalization and signaling, with Class A ODNs
predominantly promoting IRF-7-mediated signaling from early
endosomes and Class B ODNs primarily inducing late endosomal
NF-kB activation [43].
We have previously reported that only class C CpG ODNs
effectively synergized with the TLR2/6 ligands to protect broadly
against bacterial challenges. However, we here clearly demonstrate that class A and class B CpG ODNs can cooperate with
Pam2 to protect against influenza viruses, with no discernable
statistical difference in the performance of Class A and Class B
ligands. This mechanistic difference between the bacterial and
6 and TNF are both profoundly induced by lysate treatment, but
are not required for protection against bacterial pneumonias [24].
While these data provide a novel contrast to prior reports of
interferon-dependence of the antiviral response, they do not
clearly reveal the interferon-independent mechanisms underlying
the protection. This is an area of active research, but we have
previously reported that Pam2-ODN is capable of inducing
expression of both antimicrobial peptides and reactive oxygen
species [22,23,24,25,26,27,28], and anticipate that these responses
contribute to both inducible viral killing and modulation of
untoward elements of the inflammatory response. We have also
shown in bacterial infection models that inducible resistance is
associated with enhanced containment of pathogens within the
lungs [22,24,28]. Enhancement of barrier function may contribute
to the antiviral response, as well. That this could occur in an
interferon-independent manner is supported by recent observations of reactive oxygen species mediated intercellular epithelial
antimicrobial communication [40].
Another unexpected finding was the observation that all tested
classed of TLR9-stimulating CpG ODNs were capable to some
Table 2. Inflammatory cytokine responses to Pam2-ODN.
Symbol
MLE-15 Fold Change
Lung Fold Change
Definition
Accession
Ccl2
«
q 33.0
Chemokine (C-C motif) ligand 2
NM_011333.3
Ccl3
«
q 53.5
Chemokine (C-C motif) ligand 3
NM_011337.2
Ccl7
«
q 15.3
Chemokine (C-C motif) ligand 7
NM_013654.2
Cx3cl1
q 4.0
q 2.4
Chemokine (C-X3-C motif) ligand 1
NM_009142.3
Cxcl1
q 77.3
q 16.6
Chemokine (C-X-C motif) ligand 1
NM_008176.1
Cxcl2
q 7.9
q 14.4
Chemokine (C-X-C motif) ligand 2
NM_009140.2
Cxcl10
q 1.7
q 22.8
Chemokine (C-X-C motif) ligand 10
NM_021274.1
Cxcl13
«
q 11.3
Chemokine (C-X-C motif) ligand 13
NM_018866.1
Cxcl15
q 5.0
«
Chemokine (C-X-C motif) ligand 15
NM_011339.2
Cxcl16
q 2.4
q 1.3
Chemokine (C-X-C motif) ligand 16
NM_023158.6
Il1a
«
q 8.1
Interleukin 1 alpha
NM_010554
Il1b
«
q 25.1
Interleukin 1 beta
NM_008361
Il24
q 3.0
«
Interleukin 24
NM_053095.1
Il6
«
q 2.6
Interleukin 6
NM_031168.1
Tnf
q 2.0
q 24.8
Tumor necrosis factor
NM_013693.1
Transcriptional responses of interferon-independent inflammatory cytokines and chemokines 4 h after treatment of MLE-15 cells in vitro or mouse lungs in vivo with
Pam2-ODN.
Fold change compares Pam2-ODN-treated samples to PBS-treated samples. « indicates no significant change in gene expression between PBS treated and Pam2-ODN
treated samples, q indicates induction of transcription by Pam2-ODN, Q indicates repression of transcription by Pam2-ODN.
doi:10.1371/journal.pone.0030596.t002
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January 2012 | Volume 7 | Issue 1 | e30596
TLR Synergy Protects against Influenza Pneumonia
Figure 4. Pam2 treatment synergizes with all classes of TLR9stimulating CpG oligodeoxynucleotides. Mice were challenged
with influenza 1 day after a single inhaled treatment with the described
treatments. Shown are survival (A) and body weight (B) of mice
through 22 days after challenge (mean 6 s.d.). (n = 20 mice/group; *
p,0.00001 vs. PBS treated, ** p = 0.0004 vs. PBS treated, { p = 0.01 vs.
Pam2+ODN 2006 treated, { p = 0.1 vs Pam2+ODN 2006 treated).
doi:10.1371/journal.pone.0030596.g004
Figure 5. Synergistic TLR stimulation protects against swineorigin H1N1 influenza A pneumonia. Mice were challenged with
influenza 1 day after a single inhaled treatment with Pam2 and ODN.
Shown are survival (A) and body weight (B) of mice through 22 days
after challenge (mean 6 s.d.). (n = 20 mice/group; * p = 0.0004 vs. PBS
treated).
doi:10.1371/journal.pone.0030596.g005
viral models will be an area of future investigation. However, as
class A and class C, but not class B, CpG ODNs are reported to
induce immune responses via interferon signaling, the observation
of Pam2 synergy with class B CpG ODNs is consistent with the
lack of an essential interferon role.
Because of these differences in Pam2-ODN-induced influenza
protection when compared to lysate-induced influenza protection
and to Pam2-ODN-induced bacterial protection, it was important
to show that this was not a phenomenon that was restricted to a
unique viral strain. We excluded that possibility by testing an
alternate influenza strain, and demonstrated the effectiveness of
this treatment against clinically-relevant pathogens by showing
that Pam2-ODN can also protect against swine-origin H1N1
influenza viruses.
PLoS ONE | www.plosone.org
This broad, non-toxic host response-focused strategy to
preventing influenza-related mortality may provide an opportunity
to protect vulnerable populations when vaccines are unavailable or
impractical, to contain outbreaks by treating contacts of incident
cases, and, potentially, to protect populations that have deficiencies of adaptive immunity.
Methods
Animals
Six to eight week old NIH Swiss-Webster mice (Charles River)
were used for all experiments. For protection studies, mice were
divided into groups of 20 mice (5 for virus lung titers, 15 for
7
January 2012 | Volume 7 | Issue 1 | e30596
TLR Synergy Protects against Influenza Pneumonia
survival). All mice were handled in accordance with the policies of
the Baylor College of Medicine Institutional Animal Care and Use
Committee, full details of the study were approved by that body
(approval AN-2307), and any mice that exhibited signs of distress
were humanely euthanized.
Gene expression analysis
To better understand the host response to Pam2-ODN, gene
expression microarray analysis was performed after treatment with
Pam2, ODN, Pam2-ODN or PBS. For in vitro analyses,
immortalized mouse distal respiratory epithelial MLE-15 cells
[49] were provided by Dr. Jeffrey A. Whitsett, Cincinnati
Children’s Hospital Medical Center, and grown in monolayer to
approximately 80% confluence, then the designated treatments
were added to the culture media for 4 h, then the cells were
collected by scraping, as previously described [28]. For in vivo
analyses, wild type mice were exposed by aerosol to the designated
treatments, as described above, then euthanized after 4 h for
comparison to PBS-treated mice. The lungs were sterilely-resected
and mechanically homogenized. Total RNA was isolated from
lung homogenates and cell culture samples using the RNeasy
system (Qiagen), and cRNA was synthesized and amplified from
equal masses of total RNA using the Ilumina TotalPrep RNA
amplification kit (Ambion). Amplified cRNA was hybridized and
labeled on MouseRef-8 v2.0 Expression BeadChips (Illumina),
then scanned on an Illumina iScan. Primary microarray data were
deposited at the NCBI Gene Expression Omnibus (http://www.
ncbi.nlm.nih.gov/geo/) consistent with MIAME standards (GEO
Accession GSE26864, in vitro, and GSE28994, in vivo). Primary
signal intensity was normalized between and within samples, and
differentially expressed genes were identified based on signal
change and inter-sample variation. Gene ontology analysis was
performed using the NIAID Database for Annotation, Visualization and Integrated Discovery (DAVID) and the KEGG Database
(GenomeNet). Differentially expressed genes were mapped to
signaling pathways using Ingenuity Pathways Analysis 9.0
(Ingenuity Systems), and the pathway nodules were individually
reviewed.
To characterize the interferon-related gene expression changes
induced by Pam2-ODN, Table 1 presents a list of genes
containing all transcripts from the Ingenuity Pathway Analysis
canonical interferon signaling pathway, detected interferon-related
JAK-STAT-dependent transcripts in KEGG, and additional
interferon-sensitive antiviral transcripts identified by the authors.
Baseline signal intensity values of 1 were assigned to undetected
control transcripts in order to avoid reporting infinite fold change
values. Samples treated with single TLR ligands (Pam2 only or
ODN only) were analyzed but not presented, as they were not
deemed to yield additional information beyond that presented in
Table 1. Data from all tested conditions is included in the GEO
deposits referenced above.
Synthetic TLR Ligand aerosol treatment
All treatments were delivered by aerosol. All synthetic TLR
ligands were purchased from InvivoGen (San Diego, California),
reconstituted in endotoxin-free water, and suspended in 8 ml
sterile PBS at indicated concentrations. As we have previously
described [22,23,27,28], treatments were aerosolized to the
animals for 30 min from an AeroMist CA-209 nebulizer (CISUS) driven by 10 l/min air supplemented. The nebulizer was
connected by polyethylene tubing (30 cm622 mm) to a 10 liter
polyethylene exposure chamber, with an identical efflux tube
with a low resistance microbial filter (BB50T, Pall, East Hills,
NY) at its end vented to a biosafety hood. Dosing of the TLR
ligands was determined by the lowest nebulized concentration
required to induce leukocyte infiltration of the lungs, as we have
previously reported [28]. Accordingly, the following concentrations were used in the nebulizer reservoir: Pam2 10 mg/ml;
poly(I:C) 100 mg/ml; ODN2395 20 mg/ml. Based on previous
experiments, [23,46] ligand concentrations in the airway lining
fluid are calculated to be Pam2 10 ng/ml; poly(I:C) 100 ng/ml;
ODN2395 20 ng/ml. Experiments explicitly using 2X dosing of
ligands used double these concentrations. Class comparisons of
different CpG ODNs used equimolar concentration of their
respective ODN as found in ODN2395 20 mg/ml. Sequences of
the tested ODNS were: Class A, ODN 1585 59-ggggtcaacgttgagggggg-39 and ODN 2216 59-gggggacgatcgtcgggggg-39; Class
B, ODN 1826 59-tccatgacgttcctgacgtt-39 and ODN 2006 59tcgtcgttttgtcgttttgtcgtt-39; and, Class C, ODN 2395 59-tcgtcgttttcggcgcgcgccg-39, ODN M362 59-tcgtcgtcgttcgaacgacgttgat-39
and ODN 1010159-tcgtcgttttcgcgcgcgccg-39.
Influenza A challenge
A clinical isolate of influenza A/Hong Kong/8/68 (H3N2) (A/
HK; Mouse Lung Pool 11-29-05) virus that had been passaged at
least nine times through mice was stored as frozen stock (2.86107
TCID50/ml) in the supernatant of mouse lung homogenates [47].
Stock was diluted 1:300–1:1,000 in 0.05% gelatin in Eagle’s
minimal essential medium (Sigma-Aldrich) and aerosolized for
20 min to achieve LD90 – LD100 (target 100 TDIC50/mouse).
Viral concentration in the nebulizer before and after aerosolization and in lung homogenates was determined by hemagglutination assay of infected MDCK cells [48]. On day +4, 5 mice from
each group were sacrificed and their lungs removed. Lungs were
homogenized by beadbeating and the levels of virus determined.
Remaining mice in each group were observed daily for up to 21
days for overt illness, morbidity and mortality. Mice were weighed
on days 0 and +4, and three times weekly from day +7 until day
+21. Influenza A/California/04/2009 (H1N1) was obtained from
the Centers for Disease Control and Prevention (Atlanta, GA) as
MDCK passage 3 (CDC ID Number 200971204). The virus was
grown in MDCK cells [45] and on passage 10, a sucrose purified
tissue culture pool was prepared. The 30/50% sucrose interface
was collected (passage 11), aliquoted and used for aerosol infection
of mice. The titer of the stock virus was 9.8 TCID50/mL and was
diluted 1:400 in 0.05% gelatin-MEM before nebulization. The
diluted virus was added to the reservoir (9 mL) of an Aerotech II
neublizer (CIS-USA, Bedford, MA) flowing at 10 L of air/min
and used to treat mice as described above. The targeted dose after
20 min was estimated to be ,26104 TCID50/mouse.
PLoS ONE | www.plosone.org
Statistical methods
Summary statistics for virus in lung tissue were compared using
Student’s t-test. Proportions of mice surviving pathogen challenges
were compared using Fisher’s exact text on the final day of
observation, and log-rank comparisons of survival distribution
were performed using Kaplan-Meier estimation. Weight comparisons were made between experimental groups using two-tailed
Student’s t-test for each experimental day. All data shown are
representative of at least two independent experiments, and were
not combined for analysis because of modest differences in virus
challenge doses. Analyses were performed using SAS/STAT (SAS
Institute).
Author Contributions
Conceived and designed the experiments: SEE MJT BEG. Performed the
experiments: MJT BEG. Analyzed the data: SEE MJT BEG BFD.
Contributed reagents/materials/analysis tools: SEE MJT BEG BFD.
Wrote the paper: SEE MJT BEG BFD.
8
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TLR Synergy Protects against Influenza Pneumonia
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Prevalence of Malocclusion in Jaipur, India
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INTRODUCTION Normal alignment of teeth not only contributes to the oral
health but also goes a long way in the overall well-being
and personality of an individual. Correct tooth position is
an important factor for esthetics, function and for overall
preservation or restoration of dental health. While dental
caries has been regarded as the one of the major dental
disease throughout the world, malocclusion is a close runner-
up. The morphogenetic nature of most malocclusions assures
us that this dentofacial problem will continue to demand
the best that dentistry can offer for a long time, indeed. Many
organized population surveys have been carried out in
different parts of the world with the objective of estimating
prevalence of malocclusion and orthodontic treatment needs. 1Professor and Head, Department of Orthodontics and Dentofacial Orthopedics, Mahatma Gandhi Dental College and Hospital
Jaipur, India 1Professor and Head, Department of Orthodontics and Dentofacial Orthopedics, Mahatma Gandhi Dental College and Hospital
Jaipur, India Senior Lecturer, Department of Orthodontics and Dentofacial Orthopedics, Mahatma Gandhi Dental Co
aipur, India 3Vice Principal, Mahatma Gandhi Dental College and Hospital, Jaipur, India Correspondence: Mridula Trehan
Professor and Head, Department of Orthodontics and Dentofacial Orthopedics, Mahatma Gandhi Dental College and Hospital
Jaipur, India, Ph: (91)141-3292139, 2770300, Fax: 2770326, e-mail: sunil_sharma977@yahoo.com The prevalence of malocclusion varies greatly in
different parts of the world, in different ethnic groups and
people of different origins. The prevalence of malocclusion
among Indian population has been reported to be as low as
19.6% (Miglani DC et al in 1965) and as high as 90% in
Delhi by Sidhu.4 To assign a treatment plan and to work
out on the treatment needs of a particular group or
population, it is mandatory to know the trends of occurrence
of various malocclusions. As there is a lack of statistical
data on malocclusions in this particular geographical area,
a study was conducted on 700 patients in the city of Jaipur,
the capital of Rajasthan, to identify the distribution of
malocclusion. Though there is no single way to classify
malocclusion, the most commonly and universally accepted
Angle’s classification was used, due to its simplicity. Abstract A study was undertaken to determine the prevalence of
malocclusion in Jaipur city, India. A total of 700 subjects,
in the age group of 16-26 years were divided into five groups
of normal occlusion, Angle’s Class I, Class II Div 1, Class
II Div 2 and Class III malocclusion. The results revealed
that the prevalence of malocclusion was 66.3%, with the
majority of them having Class I malocclusion (57.9%), while
the prevalence of Class III malocclusion was found to be
the least (1.4%). There was no statistically significant gender
difference among the subjects studied. Keywords: Malocclusion, Angle’s classification,
prevalence. SURVEY SURVEY 1Mridula Trehan, 2Vinay K Chugh, 3Sunil Sharma 1Mridula Trehan, 2Vinay K Chugh, 3Sunil Sharma 1Mridula Trehan, 2Vinay K Chugh, 3Sunil Sharma 1Professor and Head, Department of Orthodontics and Dentofacial Orthopedics, Mahatma Gandhi Dental College and Hospital
Jaipur, India
2Senior Lecturer, Department of Orthodontics and Dentofacial Orthopedics, Mahatma Gandhi Dental College and Hospital
Jaipur India Group V: Class III malocclusion Group V: Class III malocclusion The collected data were tabulated and analyzed
statistically. RESULTS The occlusal classification of the subjects is shown in
Table 2. The occlusal classification of the subjects is shown in
Table 2. females were found to have normal occlusion while
prevalence of class III malocclusion was least. Table 2 (Fig. 1) shows that normal occlusion was found
in 33.3% of the subjects and 66.7% of the subjects had
malocclusion. Prevalence of Angle’s class I malocclusion
was the highest (57.9%) and that of Angle’s class III
malocclusion was the least (1.4%). MATERIAL AND METHOD The present study was carried out on 700 subjects ranging
in ages from 16 to 26 years. The subjects were selected
randomly from the patients reporting to the OPD of
Mahatma Gandhi Dental College and Hospital, Jaipur. The
criteria for selection of the subjects were as follows: 1. All permanent teeth present in each arch (excluding third
molars) and in a sufficient state of eruption. 2. No previous history of orthodontic treatment in either
arch. 3. No large coronal restoration that might have altered both
coronal shape and size. 23 Mridula Trehan et al Fig. 1: Percentage distribution of groups All occlusal relationships were evaluated at a centric
occlusion position which was achieved by asking the
subject to swallow and then to bite on his or her teeth. The
sample was divided into normal occlusion group and
malocclusion groups, on the basis of Angle’s classification
(Table 1). Fig. 1: Percentage distribution of groups Group I: Normal occlusion (NO): Only those subjects were
included in the study which on clinical evaluation showed
bilateral Angle’s Class I molar relationship with acceptable
overjet and overbite and well-aligned arches. TABLE 2: Occlusal classification
Occlusion
N
%
Normal occlusion (NO)
233
33.3
Angle’s class I malocclusion
405
57.9
Angle’s class II Div 1 malocclusion
39
5.5
Angle’s class II Div 2 malocclusion
13
1.9
Angle’s class III malocclusion
10
1.4
Total
700
100.0 TABLE 2: Occlusal classification Group II: Showed bilateral Angle’s class I molar relation-
ship with one or more of these characteristics: crowded
incisors (Dewey type 1), protruded maxillary incisors
(Dewey type 2), anterior cross-bite (Dewey type 3),
unilateral or bilateral posterior cross-bite (Dewey type 4,)
mesial drift of molars (Dewey type 5), anterior or posterior
open bite and deep anterior overbite. TABLE 3: Gender distribution of occlusal variations
Occlusal classfication
Male
Female
N
%
N
%
Normal occlusion
184
32.8
49
35.5
Class I
334
59.6
71
51.5
Class I Div 1
28
5.0
11
8.0
Class II Div 2
6
1.1
7
5.0
Class III
10
1.5
0
0 TABLE 3: Gender distribution of occlusal variations Group III: Class II Div 1 malocclusion Group III: Class II Div 1 malocclusion Group IV: Class II Div 2 malocclusion Group IV: Class II Div 2 malocclusion REFERENCES 1. Kharbandha OP, Sidhu SS, Shukla DK, Sunderan KR. A Study
of etiologic factors associated with the development of
malocclussion. J Clin Pediatr Dent 1994 Winter;18(2):95-98. There was no statistically significant difference between
males and females either in the prevalence of malocclusion. ( )
2. Das UM, Venkatsubramanian RD. Prevelance of malocclusion
among school children in Bangalore, India. Int J Clin Pediatr
Dent 2008;1(1):10-12. 2. Das UM, Venkatsubramanian RD. Prevelance of malocclusion
among school children in Bangalore, India. Int J Clin Pediatr
Dent 2008;1(1):10-12. ACKNOWLEDGMENT I thank the Faculty of the Department of Oral Medicine and
Radiology, Mahatma Gandhi Dental College and Hospital,
Jaipur, Rajasthan for their cooperation in conducting the
study. DISCUSSION The study showed that 66.3% of the subjects surveyed had
malocclusion. This is somewhat similar to the findings of
Das et al,2 who conducted an epidemiological study of
malocclusion in the age group of 8-12 years in Bangalore
city in 2008, and reported a high incidence of malocclusion Table 3 shows the gender distribution of normal
occlusion and various types of malocclusion. 32.8% of the
males had normal occlusion while Class II Div 2
malocclusion was least prevalent (1.1%). 35.5% of the 24 Prevalence of Malocclusion in Jaipur, India The prevalence of malocclusion is high, a reason to
continue training professionals to care for those patients in
need of treatment. The functional, esthetic, and psychologic
benefits of orthodontic treatment ensure a continued seeking
out of these services by those afflicted with malocclusion. of 71%. The findings of the present study are in disagreement
with those of Kharbanda et al3 who have found 36.6%
prevalence of malocclusion in Delhi, while Sidhu4 in his
study found higher prevalence rate of Angle’s malocclusion
of 90% in the age group of 6-30 years. of 71%. The findings of the present study are in disagreement
with those of Kharbanda et al3 who have found 36.6%
prevalence of malocclusion in Delhi, while Sidhu4 in his
study found higher prevalence rate of Angle’s malocclusion
of 90% in the age group of 6-30 years. Angle’s class I malocclusion (57.9%) was more common
than Angle’s class II div 1 malocclusion (5.5%). This is
similar to the findings of Das et al2 who reported 62%
class I malocclusion and 7% class II Div 1 malocclusion. The prevalence of class II Div 2 and Class III malocclusion
were low, i.e. 1.9% and 1.4% respectively. This is similar
to the findings of Singh et al,3 who reported prevalence of
class II Div 2 malocclusion of 5.85% and prevalence of
class III malocclusion of 3.17% in his study of distribution
of malocclusion among North Indians seeking orthodontic
treatment. CONCLUSION 3. Kharbandha, OP.; Sidhu, SS.; Sunderan, KR. Malocclusion and
associated factors among Delhi children. Project report Indian
Council of Medical Research, New Delhi, 1990. From this study, the following conclusions have been drawn: 1. Prevalence of malocclusion was found to be 66.7%. 4. Sidhu SS. Incidence of varieties of malocclusion. J Ind Orthod
Soc 1968;1:17-20. 2. Angle’s class I malocclusion was more prevalent as
compared to the other types of malocclusion. 5. Singh SP, Utreja A, Chawla HS. A study of distribution of
malocclusion among North Indians seeking orthodontic
treatment. J Ind Orthod Soc 1993;24(2):47-53. 3. There was no statistically significant gender difference
among the subjects studied. 25 International Journal of Clinical Pediatric Dentistry, January-April 2009;2(1):23-25
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Supplemental Table S3 from H3K9 Histone Methyltransferase, KMT1E/SETDB1, Cooperates with the SMAD2/3 Pathway to Suppress Lung Cancer Metastasis
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Table S3. KMT1E DNA binding sequences identified by ChIP-Seq.
RanK
Motif
Sequence
Best
Matched
1
CAGACGGCTC
SMAD
2
ACCACASWCCAC
RUNX
3
GGCAGGGCAGGC GC-BOX
4
GCWMTKYCSTSG
BCL6
5
CCTGCCACGGCG
CTF-NF1 Table S3. KMT1E DNA binding sequences identified by ChIP-Seq. RanK
Motif
Sequence
Best
Matched
1
CAGACGGCTC
SMAD
2
ACCACASWCCAC
RUNX
3
GGCAGGGCAGGC GC-BOX
4
GCWMTKYCSTSG
BCL6
5
CCTGCCACGGCG
CTF-NF1
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The Facial Expressive Action Stimulus Test. A test battery for the assessment of face memory, face and object perception, configuration processing, and facial expression recognition
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The Facial Expressive Action Stimulus test
De Gelder, Beatrice; Huis in 't Veld, Elisabeth; Van Den Stock, Jan
Published in:
Frontiers in Psychology
DOI:
10.3389/fpsyg.2015.01609
Publication date:
2015
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Link to publication in Tilburg University Research Portal
Citation for published version (APA):
De Gelder, B., Huis in 't Veld, E., & Van Den Stock, J. (2015). The Facial Expressive Action Stimulus test: A test
battery for the assessment of face memory, face and object perception, configuration processing, and facial
expression recognition. Frontiers in Psychology, 6, Article 1609. https://doi.org/10.3389/fpsyg.2015.01609 The Facial Expressive Action Stimulus test The Facial Expressive Action Stimulus test Citation for published version (APA):
De Gelder, B., Huis in 't Veld, E., & Van Den Stock, J. (2015). The Facial Expressive Action Stimulus test: A test
battery for the assessment of face memory, face and object perception, configuration processing, and facial
expression recognition. Frontiers in Psychology, 6, Article 1609. https://doi.org/10.3389/fpsyg.2015.01609 Citation for published version (APA):
De Gelder, B., Huis in 't Veld, E., & Van Den Stock, J. (2015). The Facial Expressive Action Stimulus test: A test
battery for the assessment of face memory, face and object perception, configuration processing, and facial
expression recognition. Frontiers in Psychology, 6, Article 1609. https://doi.org/10.3389/fpsyg.2015.01609 Citation for published version (APA):
De Gelder, B., Huis in 't Veld, E., & Van Den Stock, J. (2015). The Facial Expressive Action Stimulus test: A test
battery for the assessment of face memory, face and object perception, configuration processing, and facial
expression recognition. Frontiers in Psychology, 6, Article 1609. https://doi.org/10.3389/fpsyg.2015.01609 Tilburg University General rights
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and investigate your claim Download date: 24. Oct. 2024 ORIGINAL RESEARCH
published: 29 October 2015
doi: 10.3389/fpsyg.2015.01609 Edited by:
Luiz Pessoa,
University of Maryland, USA Edited by:
Luiz Pessoa,
University of Maryland, USA Reviewed by:
Yawei Cheng,
National Yang-Ming University, Taiwan
Wim Van Der Elst,
Hasselt University, Belgium Keywords: face recognition, face memory, emotion recognition, configural face processing, inversion effect,
experimental task battery *Correspondence:
Beatrice de Gelder
b.degelder@maastrichtuniversity.nl The Facial Expressive Action
Stimulus Test. A test battery for the
assessment of face memory, face
and object perception, configuration
processing, and facial expression
recognition Beatrice de Gelder 1, 2*, Elisabeth M. J. Huis in ‘t Veld 1, 3 and Jan Van den Stock 4, 5 1 Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 2 Department of Psychiatry and
Mental Health, University of Cape Town, Cape Town, South Africa, 3 Department of Medical and Clinical Psychology, Tilburg
University, Tilburg, Netherlands, 4 Laboratory for Translational Neuropsychiatry, Department of Neurosciences, KU Leuven,
Leuven, Belgium, 5 Old Age Psychiatry, University Hospitals Leuven, Leuven, Belgium There are many ways to assess face perception skills. In this study, we describe a novel
task battery FEAST (Facial Expressive Action Stimulus Test) developed to test recognition
of identity and expressions of human faces as well as stimulus control categories. The
FEAST consists of a neutral and emotional face memory task, a face and shoe identity
matching task, a face and house part-to-whole matching task, and a human and animal
facial expression matching task. The identity and part-to-whole matching tasks contain
both upright and inverted conditions. The results provide reference data of a healthy
sample of controls in two age groups for future users of the FEAST. INTRODUCTION Specialty section:
This article was submitted to
Emotion Science,
a section of the journal
Frontiers in Psychology Face recognition is one of the most ubiquitous skills. The neural underpinnings of face perception
are still a matter of debate. This is not surprising when one realizes that a face has a broad range of
attributes. Identity is but one of these, and it is not clearly understood yet how a deficit in that area
affects perception and recognition of other aspects of face perception. Prosopagnosia or absence
of normal face identity recognition is one of the most peculiar neuropsychological symptoms and
it has shed some light on the nature of face perception (de Gelder and Van den Stock, 2015). The
term referred originally to loss of face recognition ability in adulthood following brain damage
(Bodamer, 1947). Prosopagnosia can have a profound impact on social life, as in extreme cases
the patients have difficulty recognizing the face of their spouse or child. More recently it has also
been associated with neurodegenerative syndromes like fronto-temporal lobe degeneration (FTLD)
(Snowden et al., 1989) and neurodevelopmental syndromes like cerebellar hypoplasia (Van den
Stock et al., 2012b). In addition to the acquired variant, there is now general consensus on the
existence of a developmental form, i.e., developmental prosopagnosia (DP). A recent prevalence
study reported an estimate of 2.5% (Kennerknecht et al., 2006) and indicates that DP typically
shows a hereditary profile with an autosomal dominant pattern. Received: 22 July 2015
Accepted: 05 October 2015
Published: 29 October 2015 Edited by:
Luiz Pessoa,
University of Maryland, USA
Reviewed by:
Yawei Cheng,
National Yang-Ming University, Taiwan
Wim Van Der Elst,
Hasselt University, Belgium
*Correspondence:
Beatrice de Gelder
b.degelder@maastrichtuniversity.nl Citation: de Gelder B, Huis in ‘t Veld EMJ and
Van den Stock J (2015) The Facial
Expressive Action Stimulus Test. A
test battery for the assessment of face
memory, face and object perception,
configuration processing, and facial
expression recognition. Front. Psychol. 6:1609. doi: 10.3389/fpsyg.2015.01609 October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 1 The Facial Expressive Action Stimulus Test de Gelder et al. In view of the rich information carried by the face, an
assessment of specific face processing skills is crucial. Two
questions are central. One, what specific dimension of facial
information are we focusing on, and two, is its loss specific for
faces. To date, there is no consensus or golden standard regarding
the best tool and performance level that allows diagnosing
individuals with face recognition complaints as “prosopagnosic.”
Several tests and tasks have been developed, such as the
Cambridge Face Memory Test (Duchaine and Nakayama, 2006),
the Benton Facial Recognition Test (Benton et al., 1983), the
Cambridge Face Perception Task (Dingle et al., 2005), the
Warrington Recognition Memory Test (Warrington, 1984) and
various tests using famous faces (such as adaptations of the
Bielefelder famous faces test, Fast et al., 2008). These each
provide a measure or a set of measures relating to particular
face processing abilities, e.g., matching facial identities or rely on
memory for facial identities which is exactly what is problematic
in people with face recognition disorders. More generally, beyond
the difference between perception and memory, there is not yet
a clear understanding of how the different aspects of normal
face perception are related. So testing of face skills should cast
the net rather wide. A test battery suitable for the assessment
of prosopagnosia should take some additional important factors
into account. Firstly, to assess the face specificity of the
complaints, the test battery should include not only tasks with
faces, but also an equally demanding condition with control
stimuli that are visually complex. Secondly, an important finding
classically advanced to argue for a specialization for faces regards
the configural way in which we seem to process faces, so the
task should enable the measurement of configural processing
of faces and objects. Subjects
h j
The participants were recruited between 2012 and 2015
from acquaintances of lab members and research students. Participation was voluntarily and no monetary reward was
offered. The following inclusion criteria were applied: right-
handed, minimally 18 years old, normal or corrected-to-normal
vision and normal basic visual functions as assessed by the
Birmingham Object Recognition Battery (line length, size,
orientation, gap, minimal feature match, foreshortened view, and
object decision) (Riddoch and Humphreys, 1992). A history of
psychiatric or neurological problems, as well as any other medical
condition or medication use which would affect performance,
or history of a concussion, were exclusion criteria. This study
was carried out in accordance with the recommendations and
guidelines of the Maastricht University ethics committee, the
“Ethische Commissie Psychologie” (ECP). The protocol was
approved by the Maastricht University ethics committee (ECP-
number: ECP-128 12_05_2013). In total, 61 people participated in the study. Three subjects
were 80, 81, and 82 years old. Even though they adhered to every
inclusion criteria, they were excluded from the analyses due to
being outliers on age (more than 2 standard deviations from the
mean). The sample thus consisted of 58 participants, between 18
and 62 years old (M = 38, SD = 15). Of those, 26 are male,
between 19 and 60 years old (M = 38, SD = 15) and 32 women
between 18 and 62 years old (M = 39, SD = 16). There are
no differences in age between the genders [t(1, 56) = −0.474,
p = 0.638]. Additionally, there is accumulating evidence in support of an
interaction between face identity and face emotion processing
(Van den Stock et al., 2008; Chen et al., 2011; Van den Stock
and de Gelder, 2012, 2014) and there is increasing evidence
that configuration processing is positively related to emotion
recognition ability (Bartlett and Searcy, 1993; Mckelvie, 1995;
Calder et al., 2000; White, 2000; Calder and Jansen, 2005; Durand
et al., 2007; Palermo et al., 2011; Tanaka et al., 2012; Calvo
and Beltrán, 2014). We therefore extended our test battery with
tasks targeting emotion recognition and emotion effects on face
memory, by adding an emotional face memory task and a However, an age distribution plot (see Figure 1) reveals a gap,
where there are only 6 participants between 35 and 49. Citation: The matter of configuration perception
also has been tackled in several different ways, such as with the
composite face task (Young et al., 1987), the whole-part face
superiority effect (Tanaka and Farah, 1993) or more recently,
using gaze-contingency (Van Belle et al., 2011). We choose to
focus on the classical face inversion effect (Yin, 1969; Farah
et al., 1995), whose simple method lends itself very well to
study object inversion effects. Next, besides using the inversion
effect, configuration- vs. feature-based processing can also be
investigated more directly by part-to-whole matching tasks
(de Gelder et al., 2003). Furthermore, previous studies have
found positive relationships between the ability to process faces
configurally and face memory (Richler et al., 2011; Huis in
‘t Veld et al., 2012; Wang et al., 2012; DeGutis et al., 2013)
indicating that configural processing might facilitate memory for
faces. Additionally there is accumulating evidence in support of an facial expression matching task. To stay with the rationale of
our test that each skill tested with faces must also be tested
with a selected category of control objects, we used canine face
expressions. Taking all these aspects into account, we constructed a face
perception test battery labeled the Facial Expressive Action
Stimulus Test (FEAST). The FEAST is designed to provide
a detailed assessment of multiple aspects of face recognition
ability. Most of the subtests have been extensively described and
validated on the occasion of prosopagnosia case reports and
small group studies (de Gelder et al., 1998, 2000, 2003; de Gelder
and Rouw, 2000a,b,c, 2001; Hadjikhani and de Gelder, 2002; de
Gelder and Stekelenburg, 2005; Righart and de Gelder, 2007;
Van den Stock et al., 2008, 2012a, 2013; Huis in ‘t Veld et al.,
2012). But so far the test battery was not presented systematically
as it had not been tested on a large sample of participants
receiving the full set of subtests. Here, we report a new set of
normative data for the finalized version of the FEAST, analyze
the underlying relationships of the tasks, and freely provide the
data and stimulus set to the research community for scientific
purposes. Subjects
h Therefore,
the sample is split in two: one “young adult” group, younger than
42 and a “middle aged” group of participants between 47 and October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 2 de Gelder et al. The Facial Expressive Action Stimulus Test FIGURE 1 | Age distribution of the sample with the young adult group between 18 and 41 years old, and a middle aged group between 47 and 62 years
old. FIGURE 2 | Stimulus example of (A) upright faces and (B) upright shoes in the face and shoe identity matching task. Some identities are different from the
actual stimuli due to copyright and permissions. 62 years old. The young adult age group consisted of 15 men
between 19 and 37 years old, (M = 26, SD = 6) and 17 women FIGURE 1 | Age distribution of the sample with the young adult group between 18 and 41 years old, and a middle aged group between 47 and 62 years
old. FIGURE 1 | Age distribution of the sample with the young adult group between 18 and 41 years old, and a middle aged group between 47 and 62 years
old. FIGURE 1 | Age distribution of the sample with the young adult group between 18 and 41 years old, and a middle aged group between 47 and 62 years
old. FIGURE 2 | Stimulus example of (A) upright faces and (B) upright shoes in the face and shoe identity matching task. Some identities are different from the
actual stimuli due to copyright and permissions. FIGURE 1 | Age distribution of the sample with the young adult group between 18 and 41 years old, and a middle aged group between 47 and 62 years
old FIGURE 2 | Stimulus example of (A) upright faces and (B) upright shoes in the face and shoe identity matching task. Some identities are different from the
actual stimuli due to copyright and permissions. FIGURE 2 | Stimulus example of (A) upright faces and (B) upright shoes in the face and shoe identity matching task. Some identities are different from the
actual stimuli due to copyright and permissions. FIGURE 2 | Stimulus example of (A) upright faces and (B) upright shoes in the face and shoe identity matching task. Some identities are different from the
actual stimuli due to copyright and permissions. 62 years old. Experimental Stimuli and Design The face and shoe identity matching task, face and house part-
to-whole matching task, Neutral and Emotion Face Memory task
(FaMe-N and FaMe-E) have been previously described including
figures of stimulus examples (Huis in ‘t Veld et al., 2012). FIGURE 3 | Stimulus examples of an (A) upright face and eyes and (B)
upright house and windows trial in the face and house part-to-whole
matching task. Subjects
h The young adult age group consisted of 15 men
between 19 and 37 years old, (M = 26, SD = 6) and 17 women
between 18 and 41 years old (M = 26, SD = 8). The middle aged
group consisted of 11 men between 47 and 60 years old (M = 53,
SD = 4) and 15 women between 50 and 62 years old (M = 55,
SD = 3). FIGURE 3 | Stimulus examples of an (A) upright face and eyes and (B)
upright house and windows trial in the face and house part-to-whole
matching task. Face and Shoe Identity Matching Task and the
Inversion Effect consisted of greyscale photographs of shoes (8 unique shoes) and
faces (4 male, 4 female; neutral facial expression) with frontal
view and 3/4 profile view. A stimulus contained three pictures:
one frontal view picture on top and two 3/4 profile view pictures
underneath. One of the two bottom pictures (target) was of the The face and shoe identity-matching task (de Gelder et al.,
1998; de Gelder and Bertelson, 2009) was used to assess identity
recognition and the inversion effect for faces and objects. The test
contained 4 conditions with a 2 category (faces and shoes) × 2
orientation (upright and inverted) factorial design. The materials October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 3 de Gelder et al. The Facial Expressive Action Stimulus Test FIGURE 4 | Example stimulus of the Facial Expression Matching Task with an angry target and happy distracter stimulus trial for the (A) human and (B)
canine experiment. FIGURE 4 | Example stimulus of the Facial Expression Matching Task with an angry target and happy distracter stimulus trial for the (A) human and (B)
canine experiment he Facial Expression Matching Task with an angry target and happy distracter stimulus trial for the (A) human and (B) FIGURE 4 | Example stimulus of the Facial Expression Matching Task with an angry target and happy distracter stimulus trial for the (A) human and (B)
canine experiment. FIGURE 5 | Trial setup examples of the (A) encoding phase and (B) recollection phase of the FaMe-N. Identities are different from the actual stimuli due to
copyright and permissions. es of the (A) encoding phase and (B) recollection phase of the FaMe-N. Identities are different from the actual stimuli due to FIGURE 5 | Trial setup examples of the (A) encoding phase and (B) recollection phase of the FaMe-N. Identities are diffe
copyright and permissions. al setup examples of the (A) encoding phase and (B) recollection phase of the FaMe-N. Identities are different from the act
permissions total of 64 trials per block. Each block was preceded by 4 practice
trials, during which the participants received feedback about their
performance (see Figure 2). same identity as the one on top (sample) and the other was a
distracter. The target and distracter pictures of the faces were
matched for gender and hairstyle. Face and Shoe Identity Matching Task and the
Inversion Effect Each stimulus was presented
for 750 ms and participants were instructed to indicate by a
button press which of the two bottom pictures represented the
same exemplar as the one on top. Participants were instructed
to answer as quickly but also as accurately as possible, and
responses during stimulus presentation were collected. Following
the response, a black screen with a fixation cross was shown for
a variable duration (800–1300 ms). The experiment consisted of
four blocks (one block per condition). In each block, 16 stimuli
were presented 4 times in a randomized order, adding up to a Frontiers in Psychology | www.frontiersin.org Face and House Part-to-whole Matching Task This task is developed to assess holistic processing. The test
also consisted of 4 conditions, with a 2 category (faces and
houses) × 2 orientation (upright and inverted) factorial design. Materials consisted of grayscale pictures of eight faces (four male;
neutral facial expression, photographed in front view and with
direct gaze) and eight houses. From each face, part-stimuli were
constructed by extracting the rectangle containing the eyes and October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 4 de Gelder et al. The Facial Expressive Action Stimulus Test FIGURE 6 | Trial setup of a happy trial in the (A) encoding phase and (B) recollection phase of the FaMe-E. Some identities are different from the actual
stimuli due to copyright and permissions. FIGURE 7 | Means and standard errors of the mean of the accuracy and reaction times on the face and shoe matching task, split by age group. FIGURE 6 | Trial setup of a happy trial in the (A) encoding phase and (B) recollection phase of the FaMe-E. Some identities are different from the actual
stimuli due to copyright and permissions. FIGURE 6 | Trial setup of a happy trial in the (A) encoding phase and (B) recollection phase of the FaMe-E. Some identities are different from the actual
stimuli due to copyright and permissions. FIGURE 7 | Means and standard errors of the mean of the accuracy and reaction times on the face and shoe matching task, split by age group. FIGURE 7 | Means and standard errors of the mean of the accuracy and reaction times on the face and shoe matching task, split by age group. FIGURE 7 | Means and standard errors of the mean of the accuracy and reaction times on the face and shoe matchin andard errors of the mean of the accuracy and reaction times on the face and shoe matching task, split by age group. total of 32 trials per block and 64 trials per condition. Within
blocks, the presentation of the two parts (eyes or mouth, window
or door) was randomized in order to prevent participants to
pay attention only to one specific feature. The first block of
each condition was preceded by 4 practice trials, during which
the participants received feedback about their performance (see
Figure 3). the rectangle containing the mouth. Frontiers in Psychology | www.frontiersin.org Face and House Part-to-whole Matching Task House-part stimuli were
created using a similar procedure, but the parts consisted of the
door or window. The trial procedure was similar to the face
and object identity matching task, where a whole face or house
was presented on top (sample), with a target part-picture and
a distractor part-picture presented underneath. Each trial was
presented for 750 ms and participants were instructed to indicate
by a button press which of the two bottom pictures represented
the same exemplar as the one on top. Participants were instructed
to answer as quickly but also as accurately as possible, and
responses during stimulus presentation were collected. Following
the response, a black screen with a fixation cross was shown for
a variable duration (800–1300 ms). The experiment consisted of
eight blocks (two blocks per condition). In each block, 16 stimuli
were presented 2 times in a randomized order, adding up to a Facial Expression Matching Task (FEM-H and FEM-C)
The FEM is a match-to-sample task used to measure emotion
recognition ability in both human and canine faces. The
experiment was divided into two parts. The first part consisted
of human facial expressions (anger, fear, happy, sad, surprise,
disgust). The materials consisted of grayscale photographs of
facial expressions of 34 female identities and 35 male identities October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 5 The Facial Expressive Action Stimulus Test de Gelder et al. taken from the Karolinska Directed Emotional Faces (KDEF)
(Lundqvist et al., 1998). This task has been used previously in Van
den Stock et al. (2015). A stimulus consisted of three pictures:
one picture on top (sample) and two pictures underneath. One
of the two bottom pictures showed a face expressing the same
emotion as the sample, the other was a distracter. The target and
distracter pictures of the faces were matched for gender for the
human stimuli. Each trial was presented until a response was
given, but participants were instructed to answer as quickly and
accurately as possible. Following the response, a black screen with
a fixation cross was shown for a variable duration (800–1300 ms). Each emotional condition contained 10 trials (5 male) in which
the target emotion was paired with a distracter from each of the
other emotions once per gender, resulting in 60 trials in total. Face and House Part-to-whole Matching Task The first part was preceded by 4 practice trials, during which the
participants received feedback about their performance. from the internet by EH. These pictures were validated in a pilot
study using 28 students of Tilburg University in exchange for
course credit. The participants indicated of each photo whether
they thought the dog was expressing anger, fear, happiness,
sadness or no emotion in particular (neutral) and secondly, how
intense they rated the emotional expression on a scale from one
to five. Twelve angry, twelve fearful, and twelve happy canine
expressions were accurately recognized by more than 80% of
the participants and used in the experiment. The canine part
consisted of 72 trials in total, 24 per emotion condition, in
which each target emotion was paired with each of the distracter
emotions 12 times. The experiment was preceded by 2 practice
trials, during which the participants received feedback about their
performance (see Figure 4). Neutral Face Memory Task (FaMe-N) The second part consisted of canine facial expressions. In total,
114 pictures of dogs which could be perceived as angry (17),
fearful (27), happy (17), neutral (29), and sad (24) were taken Based on the Recognition Memory Test (Warrington, 1984), the
FaMe-N consists of an encoding and a recognition phase. The
stimuli consist of 100 grayscale Caucasian faces (50 male) with a TABLE 1 | Means and standard deviations on the face and shoe matching
task by age group. Accuracy
Young adult
Middle aged
M (%)
SD
M (%)
SD
Faces
Upright
92
7
89
9
Inverted
89
8
85
8
Shoes
Upright
89
7
86
7
Inverted
91
7
88
8
Reaction times (ms)
M
SD
M
SD
Faces
Upright
999
202
1162
280
Inverted
951
202
1146
225
Shoes
Upright
920
175
1147
231
Inverted
891
177
1100
201
TABLE 2 | Means and standard deviations on the face and house
part-to-whole matching task by age group. Accuracy
Young adult
Middle aged
M (%)
SD
M (%)
SD
Face parts
Upright
71
8
63
7
Inverted
65
9
61
7
House parts
Upright
77
8
72
9
Inverted
78
11
73
9
Reaction times (ms)
M
SD
M
SD
Face parts
Upright
1127
186
1346
218
Inverted
1099
222
1299
215
House parts
Upright
1104
172
1307
163
Inverted
1046
166
1309
178
FIGURE 8 | Means and standard errors of the mean of the accuracy and reaction times on the face and house part-to-whole matching task split by
age group. TABLE 1 | Means and standard deviations on the face and shoe matching
task by age group. Accuracy
Young adult
Middle aged
M (%)
SD
M (%)
SD
Faces
Upright
92
7
89
9
Inverted
89
8
85
8
Shoes
Upright
89
7
86
7
Inverted
91
7
88
8
Reaction times (ms)
M
SD
M
SD
Faces
Upright
999
202
1162
280
Inverted
951
202
1146
225
Shoes
Upright
920
175
1147
231
Inverted
891
177
1100
201
TABLE 2 | Means and standard deviations on the face and house
part-to-whole matching task by age group. Neutral Face Memory Task (FaMe-N) Accuracy
Young adult
Middle aged
M (%)
SD
M (%)
SD
Face parts
Upright
71
8
63
7
Inverted
65
9
61
7
House parts
Upright
77
8
72
9
Inverted
78
11
73
9
Reaction times (ms)
M
SD
M
SD
Face parts
Upright
1127
186
1346
218
Inverted
1099
222
1299
215
House parts
Upright
1104
172
1307
163
Inverted
1046
166
1309
178
FIGURE 8 | Means and standard errors of the mean of the accuracy and reaction times on the face and house part-to-whole matching task split by
age group. TABLE 1 | Means and standard deviations on the face and shoe matching
task by age group. TABLE 2 | Means and standard deviations on the face and house
part-to-whole matching task by age group. FIGURE 8 | Means and standard errors of the mean of the accuracy and reaction times on the face and house part-to-whole matching task split by
age group. FIGURE 8 | Means and standard errors of the mean of the accuracy and reaction times on the face and house part-to-whole matching task split by
age group. FIGURE 8 | Means and standard errors of the mean of the accuracy and reaction times on the face and house part-to
age group. FIGURE 8 | Means and standard errors of the mean of the accuracy and reaction times on the face and house part-to-whole matching task split by
age group. andard errors of the mean of the accuracy and reaction times on the face and house part-to-whole matching task split October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 6 The Facial Expressive Action Stimulus Test de Gelder et al. FIGURE 9 | Means and standard errors of the mean of the accuracy of the whole group and reaction times on the FEM-H split by age group. ***p < 0.001, **p < 0.05. FIGURE 9 | Means and standard errors of the mean of the accuracy of the whole group and reaction times on the FEM-H split by age group. ***p < 0.001, **p < 0.05. FIGURE 9 | Means and standard errors of the mean of the accuracy of the whole group and reaction times on the
***p < 0.001, **p < 0.05. TABLE 3 | Means and standard deviations on the FEM-H by age group. Emotional Face Memory Task (FaMe-E) Emotional Face Memory Task (FaMe-E)
This task was designed by adapting the FaMe-N task by using
stimuli containing emotional instead of neutral faces. Images
were taken from the NimStim database (Tottenham et al., 2009)
and stimuli created at Tilburg University. The stimuli consisted
of 96 photographs (53 female) with direct eye gaze and frontal
view. The individuals in the stimuli express fear, sadness, or
happiness. There was no overlap in identities with the FaMe-N. The procedure was similar to the FaMe-N, but with 48 trials (16
per emotion) in both phases. The pictures making a stimulus pair
were matched for emotion and hairstyle and in most trials also
gender (see Figure 6). Neutral Face Memory Task (FaMe-N) Accuracy
Young adult
Middle aged
M (%)
SD
M (%)
SD
Total
79
9
74
10
Anger
85
16
77
18
Fear
57
14
53
15
Happy
94
8
92
10
Disgust
82
13
82
12
Sad
69
17
59
15
Surprise
86
11
79
14
Reaction times (ms)
M
SD
M
SD
Total
2064
583
2628
493
Anger
2122
707
2819
541
Fear
2279
674
2976
662
Happy
1941
727
2253
647
Disgust
1951
627
2635
604
Sad
2276
733
2776
586
Surprise
1976
551
2574
598 TABLE 3 | Means and standard deviations on the FEM-H by age group. simultaneous presentation of two adjacent faces. One was the
target face and was also presented in the encoding phase. The
other face was not previously presented in the encoding phase
and served as distracter. Fifty trials were randomly presented and
target and distractor presentation side were evenly distributed. Participants were instructed to indicate as quickly and also as
accurately as possible which face was also presented in the
encoding phase. The stimulus pairs were matched for gender and
hairstyle (see Figure 5). 13
82
1
17
59
1
11
79
1
SD
M
S
583
2628
49
707
2819
54
674
2976
66
727
2253
64
627
2635
60
733
2776
58
551
2574
59
t view, with frontal eye gaze. Th
ase created at Tilburg Universit
consisted of the presentation
followed by a black screen wi
uration of 1000 ms. Participan
face carefully and told that the
tested afterwards. The encodin
mmediately followed upon th
ecognition phase consisted of th
.org Analyses neutral facial expression, in front view, with frontal eye gaze. The
stimuli were taken from a database created at Tilburg University. Trials in the encoding phase consisted of the presentation of
a single stimulus for 3000 ms, followed by a black screen with
a white fixation cross with a duration of 1000 ms. Participants
were instructed to encode each face carefully and told that their
memory for the faces would be tested afterwards. The encoding
block consisted of 50 trials. neutral facial expression, in front view, with frontal eye gaze. The
stimuli were taken from a database created at Tilburg University. Trials in the encoding phase consisted of the presentation of
a single stimulus for 3000 ms, followed by a black screen with
a white fixation cross with a duration of 1000 ms. Participants
were instructed to encode each face carefully and told that their
memory for the faces would be tested afterwards. The encoding
block consisted of 50 trials. Accuracies were calculated as the total proportion of correct
responses for both the total score of each task and for each
condition separately. Average response times from stimulus onset
were calculated for the correct responses only. For all tasks,
reaction times faster than 150 ms were excluded from analyses. In addition, for the identity matching task and part-to-whole
matching task, reaction times longer than 3000 ms were excluded
from analyses. For the other tasks, reaction times longer than
5000 ms were excluded from analyses. The number of outliers are
reported in the results. One control subject did not complete the The recognition phase immediately followed upon the
encoding phase. A trial in the recognition phase consisted of the October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 7 de Gelder et al. The Facial Expressive Action Stimulus Test FIGURE 10 | Means and standard errors of the mean of the accuracy and reaction times on the FEM-Canine split by age group. ***p < 0.001. FIGURE 10 | Means and standard errors of the mean of the accuracy and reaction times on the FEM-Canine split by age group. ***p < 0.001. FIGURE 10 | Means and standard errors of the mean of the accuracy and reaction times on the FEM-Canine split by a TABLE 4 | Means and standard deviations on the FEM-C by age group. Face and Shoe Identity Matching Task Face and Shoe Identity Matching Task
The task has a good internal consistency of ρKR20 = 0.912. The
following number of outliers were discarded; upright faces: a total
of 0.86% outliers across ten participants (M = 3.2 trials, SD = 2.7,
min = 1, max = 8); inverted faces: 0.7% across ten participants
(M = 2.6 trials, SD = 2.7, min = 1, max = 10); upright shoes:
0.9% across 15 participants (M = 2.1 trials, SD = 2, min = 1,
max = 7) and inverted shoes: 0.5% across four participants
(M = 4.8 trials, SD = 5.7, min = 1, max = 13). face and house part-to-whole matching task. The SPSS dataset
can be downloaded through the supplementary materials. In addition, the internal consistency was assessed with the
Kuder Richardson coefficient of reliability (KR 20), reported as
ρKR20, which is analogous to Cronbach’s alpha but suitable for
dichotomous measures (Kuder and Richardson, 1937). The results were analyzed using repeated measures GLMs,
with the experimental factors as within subject variables and age
group and gender as between subject variables. Interaction effects
were further explored using post-hoc paired samples t-tests. The
assumption of equality of error variances was checked with a
Levene’s test. The assumption of normality was not formally
tested, as the sample is larger than 30 and repeated measures
GLMs are quite robust against violations of normality. A repeated measures GLM on accuracy scores with category
(faces, shoes) and orientation (upright, inverted) as within-
subject factors and gender and age group as between-subject
factors revealed a category by orientation interaction effect
[F(1, 54) = 16.955, p < 0.001, η2
p = 0.24]. Paired samples
t-tests show that upright faces are recognized more accurately
than inverted faces [t(57) = 3.464, p = 0.001] and inverted
shoes are recognized better than upright shoes [t(57) = −2.254,
p = 0.028]. Also, the middle aged group is less accurate overall
[F(1, 54) = 4.342, p = 0.042, η2
p = 0.07]. Inversion scores were calculated by subtracting the accuracy
and reaction time scores on the inverted presentation condition
from the upright condition. A positive score indicates that
accuracy was higher, or the reaction time was longer, on the
upright condition. A negative score indicates higher accuracy
or reaction times for the inverted condition. Frontiers in Psychology | www.frontiersin.org Analyses Accuracy
Young adult
Middle aged
M (%)
SD
M (%)
SD
Total
92
8
86
7
Anger
96
8
91
9
Happy
86
11
77
11
Fear
95
9
90
9
Reaction times (ms)
M
SD
M
SD
Total
2064
583
2628
493
Anger
1446
532
1998
440
Happy
1874
613
2455
392
Fear
1683
571
2351
465 4 | Means and standard deviations on the FEM-C by age gr a stronger configuration processing as measured by a higher
accuracy inversion effect is related to improved face memory and
emotion recognition, multiple linear regression analyses were
performed with accuracy scores on the FaMe-N, FaMe-E, and
both FEM tasks as dependent variable and age, gender, and
four inversion scores (face identity, shoe identity, face-part, and
house-part) as predictors. In addition, correlations between all
tasks were calculated. Lastly, percentile ranks of all tasks and correlations between all
tasks were calculated and reported for both the accuracy scores
and reaction times (see Tables 8–11). RESULTS Face and Shoe Identity Matching Task Face and Shoe Identity Matching Task To assess whether p
A repeated measures GLM with a similar design on reaction
times showed that faces are matched slower than shoes
[F(1, 54) = 16.063, p < 0.001, η2
p = 0.23], upright faces and October 2015 | Volume 6 | Article 1609 8 de Gelder et al. The Facial Expressive Action Stimulus Test FIGURE 11 | Means and standard errors of the mean of the accuracy and reaction times on the FaMe-N and FaMe-E. accuracy and reaction times on the FaMe-N and FaMe-E. FIGURE 11 | Means and standard errors of the mean of the accuracy and reaction times on the FaMe-N and FaMe-E. TABLE 5 | Means and standard deviations on the FaMe-N and the FaMe-E by gender and age group. Accuracy (%)
Male
Female
Young adult
Middle aged
Young adult
Middle aged
M (%)
SD
M (%)
SD
M (%)
SD
M (%)
SD
FaMe-Neutral
Total
77
16
81
11
77
13
78
10
FaMe-Emotion
Total
78
14
84
7
81
11
78
15
Fear
78
13
82
7
80
16
76
17
Happy
80
19
86
10
83
11
78
17
Sad
77
15
83
7
80
12
80
13
Reaction times (ms)
M
SD
M
SD
M
SD
M
SD
FaMe-Neutral
Total
1920
532
2285
540
2090
483
2236
429
FaMe-Emotion
Total
1785
525
2007
246
1821
416
2025
430
Fear
1778
544
2056
320
1942
540
1986
402
Happy
1775
564
2003
275
1803
399
2038
540
Sad
1791
514
1962
258
1718
414
2063
479 TABLE 5 | Means and standard deviations on the FaMe-N and the FaMe-E by gender and age group. across 33 participants (M = 2.2 trials, SD = 1.6, min = 1,
max = 6). across 33 participants (M = 2.2 trials, SD = 1.6, min = 1,
max = 6). shoes are matched slower than inverted ones [F(1, 54) = 7.560,
p = 0.008, η2
p = 0.12] and the middle aged group responded
slower [F(1, 54) = 15.174, p < 0.001, η2
p = 0.22; see Figure 7 and
Table 1]. A repeated measures GLM on accuracy scores with category
(faces, houses) and orientation (upright, inverted) as within-
subject factors and gender and age group as between-subject
factors revealed a three way age group by category by orientation
interaction effect [F(1, 53) = 5.413, p = 0.024, η2
p = 0.09]. Face and Shoe Identity Matching Task Overall, both age groups are better at part to whole matching of
houses [F(1, 53) = 153.660, p < 0.001, η2
p = 0.75]. However, the
young adult group is more accurately able to part to whole match
upright than inverted faces [t(31) = 5.369, p < 0.001], whereas
the middle aged group is not [t(24) = 0.952, p = 0.351], but
no such group differences are found for house inversion [young
adult group: t(31) = −0.958, p = 0.345, middle aged group:
t(24) = −0.490, p = 0.628]. Face and House Part-to-whole Matching
Task The task has a good internal consistency of ρKR20 = 0.865. The
following number of outliers were discarded; upright face parts:
a total of 1.02% outliers across 38 participants (M = 2.7 trials,
SD = 2.2, min = 1, max = 8); inverted face parts: 1.1% across
41 participants (M = 3.2 trials, SD = 3.2, min = 1, max = 13);
upright house parts: 1.5% across 54 participants (M = 2.5 trials,
SD = 2.8, min = 1, max = 12) and inverted house parts: 0.9% October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 9 The Facial Expressive Action Stimulus Test de Gelder et al. TABLE 8 | Percentile ranks corresponding to accuracy scores (as
percentage correct) split by age group for all tasks and subtasks. Face and House Part-to-whole Matching
Task 2
5
10
25
50
75
90
95
PERCENTILE RANKS YOUNG ADULT GROUP
FaMe-N
36
43
61
72
78
86
94
99
FaMe-E
48
55
65
71
79
91
96
98
Faces
Upr
72
76
80
89
93
98
98
98
Inv
69
69
73
85
91
95
98
99
Shoes
Upr
64
71
83
86
91
94
97
98
Inv
73
78
81
88
92
97
98
100
Face parts
Upr
50
54
60
66
71
78
81
86
Inv
48
50
52
58
65
71
78
81
House parts
Upr
59
60
65
72
78
81
88
91
Inv
41
54
65
72
78
84
91
93
FEM-H
53
60
65
74
82
85
90
90
FEM-C
57
75
85
88
94
97
98
99
PERCENTILE RANKS MIDDLE AGED GROUP
FaMe-N
56
57
64
72
81
88
93
94
FaMe-E
42
47
65
77
82
90
94
96
Faces
Upr
69
70
75
82
91
95
98
99
Inv
63
65
72
81
86
89
93
97
Shoes
Upr
69
70
75
81
88
91
94
96
Inv
67
68
75
86
89
93
96
99
Face parts
Upr
48
49
53
57
64
67
73
75
Inv
44
44
50
57
61
68
70
73
House parts
Upr
53
53
58
67
75
78
83
89
Inv
55
57
62
66
72
79
87
90
FEM-H
50
54
63
67
73
83
87
91
FEM-C
67
70
75
83
88
92
94
97 TABLE 6 | Regression coefficients of the inversion scores on the tasks for
configural and feature-based processing on the total scores of the Face
Memory–Neutral and the Face Memory–Emotion task. Face and House Part-to-whole Matching
Task Step 1
FaMe-N
FaMe-E
B
Se B
β
B
Se B
β
Constant
0.730
0.047
0.754
0.043
Gender
−0.010
0.032
−0.039
0.003
0.029
0.013
Age
0.002
0.001
0.186
0.001
0.001
0.183
R2
0.036
0.034
Step 2
B
Se B
β
B
Se B
β
Constant
0.728
0.059
0.778
0.052
Gender
−0.010
0.036
−0.040
−0.008
0.032
−0.037
Age
0.001
0.001
0.182
0.001
0.001
0.150
Face inversion
0.001
0.003
0.034
−0.001
0.003
−0.066
Shoe inversion
−0.001
0.005
−0.027
−0.0004
0.004
−0.014
Face part inversion
0.000
0.003
−0.001
−0.003
0.003
−0.142
House part inversion
−0.001
0.003
−0.053
−0.003
0.003
−0.153
R2 change
0.004
0.044 TABLE 7 | Regression coefficients of the inversion scores on the tasks for
configural and feature-based processing on the total scores of the Facial
Expression Matching- Human and Canine task. Expression Matching- Human and Canine task. Step 1
FEM-H
FEM-C
B
Se B
β
B
Se B
β
Constant
0.831
0.034
0.955
0.028
Gender
−0.003
0.023
−0.014
−0.011
0.020
−0.076
Age
−0.002
0.001
−0.264*
−0.001
0.001
−0.261
R2
0.07
0.034
Step 2
B
Se B
β
B
Se B
B
Constant
0.829
0.041
0.965
0.035
Gender
−0.003
0.026
−0.019
−0.019
0.021
−0.127
Age
−0.002
0.001
−0.255
−0.002
0.001
−0.319*
Face inversion
0.000
0.002
−0.024
0.001
0.002
0.091
Shoe inversion
0.000
0.003
0.017
−0.004
0.003
−0.181
Face part inversion
0.000
0.002
−0.021
−0.001
0.002
−0.092
House part inversion
−0.004
0.002
−0.227
0.000
0.002
−0.033
R2 change
0.054
0.044
*p < 0.05. Face and House Part-to-whole Matching
Task Step 1
FaMe-N
FaMe-E
B
Se B
β
B
Se B
β
Constant
0.730
0.047
0.754
0.043
Gender
−0.010
0.032
−0.039
0.003
0.029
0.013
Age
0.002
0.001
0.186
0.001
0.001
0.183
R2
0.036
0.034
Step 2
B
Se B
β
B
Se B
β
Constant
0.728
0.059
0.778
0.052
Gender
−0.010
0.036
−0.040
−0.008
0.032
−0.037
Age
0.001
0.001
0.182
0.001
0.001
0.150
Face inversion
0.001
0.003
0.034
−0.001
0.003
−0.066
Shoe inversion
−0.001
0.005
−0.027
−0.0004
0.004
−0.014
Face part inversion
0.000
0.003
−0.001
−0.003
0.003
−0.142
House part inversion
−0.001
0.003
−0.053
−0.003
0.003
−0.153
R2 change
0.004
0.044
TABLE 7 | Regression coefficients of the inversion scores on the tasks for
configural and feature-based processing on the total scores of the Facial
Expression Matching- Human and Canine task. Step 1
FEM-H
FEM-C
B
Se B
β
B
Se B
β
Constant
0.831
0.034
0.955
0.028
Gender
−0.003
0.023
−0.014
−0.011
0.020
−0.076
Age
−0.002
0.001
−0.264*
−0.001
0.001
−0.261
R2
0.07
0.034
Step 2
B
Se B
β
B
Se B
B
Constant
0.829
0.041
0.965
0.035
Gender
−0.003
0.026
−0.019
−0.019
0.021
−0.127
Age
−0.002
0.001
−0.255
−0.002
0.001
−0.319*
Face inversion
0.000
0.002
−0.024
0.001
0.002
0.091
Shoe inversion
0.000
0.003
0.017
−0.004
0.003
−0.181
Face part inversion
0.000
0.002
−0.021
−0.001
0.002
−0.092
House part inversion
−0.004
0.002
−0.227
0.000
0.002
−0.033
R2 change
0.054
0.044
*p < 0.05. The same repeated measures GLM on reaction times revealed
a three way gender by age group by category interaction effect
[F(1 53) = 5.539, p = 0.022, η2p = 0.10]. To assess this TABLE 6 | Regression coefficients of the inversion scores on the tasks for
configural and feature-based processing on the total scores of the Face
Memory–Neutral and the Face Memory–Emotion task. TABLE 8 | Percentile ranks corresponding to accuracy scores (as
percentage correct) split by age group for all tasks and subtasks. g
p
g
Memory–Neutral and the Face Memory–Emotion task. Facial Expression Matching Task
H
F
i l E
i
(FEM H) Facial Expression Matching Task Facial Expression Matching Task
Human Facial Expressions (FEM-H) p
g
Human Facial Expressions (FEM-H) The task has a reasonably good internal consistency of ρKR20 =
0.769. The following number of outliers were discarded from 47
participants; 14% in total (Anger: 2.5%, disgust: 1.8%, fear: 3.4%,
happy: 0.7%, sad: 3.5%, surprise: 2.2%, M = 10.4 trials, SD = 6.6,
min = 1, max = 27). A repeated measures GLM on the accuracy scores with
emotion (fear, sadness, anger, disgust, surprise, and happy) as
within subject variables and gender and age group as between
subject variables showed a main effect of emotion [F(5, 50) =
88.169, p < 0.001, η2
p = 0.90]. Post-hoc contrasts reveal that
fear is recognized least accurate, worse than sadness [F(1, 54) =
15.998, p < 0.001, η2
p = 0.23], on which accuracy rates are in
turn lower than anger [F(1, 54) = 63.817, p < 0.001, η2
p = 0.54]. Also, happy is recognized best with higher accuracy scores than
surprise [F(1, 54) = 49.157, p < 0.001, η2
p = 0.48]. The same repeated measures GLM on reaction times revealed
a three way gender by age group by category interaction effect
[F(1, 53) = 5.539, p = 0.022, η2p = 0.10]. To assess this
effect, the repeated measures GLM with category (faces, houses)
and orientation (upright, inverted) as within-subject factors and
age group as between-subject factors was run for males and
females separately. For the female group, a category by age group
interaction effect is found [F(1, 29) = 7.022, p = 0.013, η2
p =
0.20], whereas no significant effects were found for men (see
Figure 8 and Table 2). p
The same repeated measures GLM on the reaction time data
revealed a main effect of emotion [F(5, 50) = 15.055, p < 0.001,
η2
p = 0.60]. Happy was also recognized fastest (as compared to
surprise, F(1, 54) = 7.873, p = 0.007, η2
p = 0.13] and disgust was
recognized slower than anger [F(1, 54) = 7.776, p = 0.007, η2
p =
0.13]. Also, the middle aged age group is slower overall [F(1, 54) =
15.280, p < 0.001, η2
p = 0.22; see Figure 9 and Table 3]. October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 10 The Facial Expressive Action Stimulus Test de Gelder et al. Relationships between Tasks A repeated measures GLM on the accuracy scores with
emotion (fear, anger, and happy) as within subject variables and
gender and age group as between subject variables revealed a
main effect of emotion [F(2, 53) = 37.049, p < 0.001, η2
p = 0.58]. Fear was recognized least accurately [as compared to happy,
F(1,54) = 65.310, p < 0.001, η2
p = 0.55]. Also, the middle aged
group was less accurate at this task than the young adult group
[F(1, 54) = 8.045, p = 0.006, η2
p = 0.13]. In the current sample, no significant predictive relationship
between configuration processing as measured by the inversion
effect and face memory scores were found (see Table 6). Similarly, no significant relationship between configuration
processing and emotion recognition scores were found, aside
from a negative effect of age on accuracy on the FEM-H and
FEM-C, see Table 7. In addition, see Tables 8, 9 for correlations
between the all the tasks and subtasks of the FEAST. (
)
p
Similarly, for reaction times a main effect of emotion
[F(2, 53) = 66.335, p < 0.001, η2
p = 0.72] was observed; anger
is recognized quicker than happy [F(1, 54) = 74.880, p < 0.001,
η2
p
= 0.58], which is in turn recognized a faster than fear
[F(1, 54) = 17.588, p < 0.001, η2
p = 0.25]. Additionally, again the
middle aged group is slower overall [F(1, 54) = 19.817, p < 0.001,
η2
p = 0.27; see Figure 10 and Table 4]. Furthermore,
percentile
ranks
for
accuracy
scores
as
percentage correct and the reaction times are reported in
Tables 8, 9, and the correlations between all tasks are reported in
Tables 10, 11. Facial Expression Matching Task
H
F
i l E
i
(FEM H) TABLE 9 | Percentile ranks corresponding to reaction times split by age
group for all tasks and subtasks. 2
5
10
25
50
75
90
95
PERCENTILE RANKS THE YOUNG ADULT GROUP
FaMe-N
1220
1248
1329
1621
1996
2329
2589
3210
FaMe-E
869
978
1097
1462
1842
2145
2505
2582
Faces
Upr
671
693
733
832
974
1112
1293
1472
Inv
670
673
708
782
908
1068
1235
1407
Shoes
Upr
591
663
707
777
922
1049
1204
1263
Inv
605
617
666
741
879
1010
1177
1227
Face parts
Upr
591
718
910
1025
1130
1259
1281
1484
Inv
481
544
909
997
1084
1230
1393
1499
House parts
Upr
688
774
882
1001
1073
1228
1332
1445
Inv
577
710
921
954
1023
1161
1252
1361
FEM-H
1080
1090
1169
1659
2032
2482
2769
3267
FEM-C
798
887
1123
1256
1458
2048
2581
2911
PERCENTILE RANKS FOR THE MIDDLE AGED GROUP
FaMe-N
1380
1389
1623
1948
2142
2631
2932
3194
FaMe-E
1359
1389
1466
1803
2025
2231
2510
2787
Faces
Upr
680
735
851
985
1114
1286
1560
1903
Inv
683
713
846
988
1116
1328
1484
1503
Shoes
Upr
667
709
822
975
1134
1310
1483
1614
Inv
722
746
815
935
1085
1280
1378
1391
Face parts
Upr
807
854
1026
1236
1353
1492
1648
1722
Inv
720
783
980
1207
1319
1452
1621
1627
House parts
Upr
985
1011
1078
1190
1355
1401
1531
1599
Inv
1017
1018
1074
1173
1274
1469
1555
1658
FEM-H
1885
1887
1915
2212
2642
3004
3264
3640
FEM-C
1687
1688
1699
1905
2245
2603
2738
2987 TABLE 9 | Percentile ranks corresponding to reaction times split by age
group for all tasks and subtasks. are found for gender [F(1, 54) = 0.238, p = 0.628, η2
p = 0.004] or
age group [F(1, 54) = 0.469, p = 0.496, η2
p = 0.009], nor is there
any interaction effect. Also, the average reaction time was 2121 ms (SD = 501) no
difference in reaction times were found for gender [F(1, 54) =
0.211, p = 0.648, η2
p = 0.004] but the effect of age group was
near significance [F(1, 54) = 3.768, p = 0.057, η2
p = 0.065; see
Figure 11 and Table 5]. Canine Facial Expressions (FEM-C) Canine Facial Expressions (FEM-C) The task has a good internal consistency of ρKR20 = 0.847. From
35 participants, 5.3% of the trials were discarded (Anger: 1.1%,
fear: 2.8%, happy: 1.4%, M = 6.3 trials, SD = 4.9, min = 1,
max = 22). The task has a good internal consistency of ρKR20 = 0.847. From
35 participants, 5.3% of the trials were discarded (Anger: 1.1%,
fear: 2.8%, happy: 1.4%, M = 6.3 trials, SD = 4.9, min = 1,
max = 22). Emotional Face Memory Task (FaMe-E) The task has a good internal consistency of ρKR20 = 0.799. In
total 125 trials (4.5%) were outliers across 34 participants (M =
3.7, SD = 3.5, min = 1, max = 19). A repeated measures GLM on accuracy scores and reaction
times scores with emotion (fear, happy, sad) as within-subject
factors and gender and age group as between subject variables
revealed no significant effects. g
However, a gender by age group by emotion three-way
interaction effect was found for reaction times, [F(2, 53) = 3.197,
p = 0.049, η2
p = 0.11]. Figure 11 shows that the pattern of
results between men and women is reversed when the age groups
are compared. It looks like young adult women seem quicker
to recognize sadness than middle aged women: indeed, if the
repeated measures is run for men and women separately, with
emotion as within subject variables and age group as between,
no effects of emotion or age group are found for men. However,
for women, an emotion by age group interaction trend is found
[F(2, 29)
= 2.987, p = 0.066, η2
p
= 0.17; see Figure 11 and
Table 5]. In addition, we directly compared the FaMe-N and FaMe-E
using a repeated measures GLM on accuracy scores and reaction
times scores on the neutral, fearful, happy, and sad conditions
as within-subject factors and gender and age group as between
subject variables, but no significant effects were found. DISCUSSION Neutral Face Memory Task (FaMe-N)
The task has a good internal consistency of ρKR20 = 0.808. In total 232 trials (8%) were outliers across 50 participants
(M = 4.6, SD = 4.5, min = 1, max = 24). Neutral Face Memory Task (FaMe-N) TABLE 11 | Correlation matrix between the reaction times on all tasks. FaMe-N
FaMe-E
Faces
Shoes
Face parts
House parts
FEM-H
Upr
Inv
Upr
Inv
Upr
Inv
Upr
Inv
FaMe-E
0.60
–
–
–
–
–
–
–
–
–
–
Faces
Upr
0.53
0.60
–
–
–
–
–
–
–
–
–
Inv
0.50
0.57
0.86
–
–
–
–
–
–
–
–
Shoes
Upr
0.53
0.51
0.84
0.89
–
–
–
–
–
–
–
Inv
0.46
0.54
0.77
0.91
0.89
–
–
–
–
–
–
Face parts
Upr
0.39
0.50
0.63
0.71
0.70
0.76
–
–
–
–
–
Inv
0.45
0.44
0.52
0.63
0.61
0.66
0.78
–
–
–
–
House parts
Upr
0.42
0.54
0.68
0.74
0.74
0.77
0.85
0.74
–
–
–
Inv
0.41
0.46
0.57
0.68
0.68
0.71
0.83
0.80
0.89
–
–
FEM-H
0.40
0.54
0.43
0.47
0.53
0.53
0.35
0.36
0.53
0.48
–
FEM-C
0.59
0.57
0.52
0.54
0.61
0.58
0.45
0.44
0.58
0.48
0.81
All correlations are significant at the p < 0.01 level. TABLE 11 | Correlation matrix between the reaction times on all tasks. All correlations are significant at the p < 0.01 level. happiness were recognized above 80% accuracy. Similarly, canine
emotions were recognized very well, although fear was also the
worst recognized canine emotion and the older age group scored
slightly worse and slower on this task, confirming that this subtest
provides a good control. Firstly,
face
and
object
processing
and
configuration
processing were assessed. As expected, upright face recognition
is more accurate than inverted face recognition, in line with
the face inversion effect literature (Yin, 1969; Farah et al.,
1995). Interestingly, even though the middle aged group was
less accurate than the young adults group, their response
patterns regarding face and object inversion were comparable. As configurational processing measured by (upright-inverted)
inversion scores was not influenced by gender or age, this is a
stable effect in normal subjects. The absence of any interaction
effects with age group or gender indicate that category specific
configuration effects are stable across gender and between young
adulthood and middle age. This implies it is a suitable index to
evaluate in prosopagnosia assessment. Secondly, the face and
house part to whole matching task seems to be a harder task than
the whole face and shoe matching task, as indicated by overall
lower accuracies. Neutral Face Memory Task (FaMe-N) FaMe-N
FaMe-E
Faces
Shoes
Face parts
House parts
FEM-H
Upr
Inv
Upr
Inv
Upr
Inv
Upr
Inv
FaMe-E
0.60
–
–
–
–
–
–
–
–
–
–
Faces
Upr
0.53
0.60
–
–
–
–
–
–
–
–
–
Inv
0.50
0.57
0.86
–
–
–
–
–
–
–
–
Shoes
Upr
0.53
0.51
0.84
0.89
–
–
–
–
–
–
–
Inv
0.46
0.54
0.77
0.91
0.89
–
–
–
–
–
–
Face parts
Upr
0.39
0.50
0.63
0.71
0.70
0.76
–
–
–
–
–
Inv
0.45
0.44
0.52
0.63
0.61
0.66
0.78
–
–
–
–
House parts
Upr
0.42
0.54
0.68
0.74
0.74
0.77
0.85
0.74
–
–
–
Inv
0.41
0.46
0.57
0.68
0.68
0.71
0.83
0.80
0.89
–
–
FEM-H
0.40
0.54
0.43
0.47
0.53
0.53
0.35
0.36
0.53
0.48
–
FEM-C
0.59
0.57
0.52
0.54
0.61
0.58
0.45
0.44
0.58
0.48
0.81
All correlations are significant at the p < 0.01 level. Firstly,
face
and
object
processing
and
configuration
processing were assessed. As expected, upright face recognition
is more accurate than inverted face recognition in line with
happiness were recognized above 80% accuracy. Similarly, canine
emotions were recognized very well, although fear was also the
worst recognized canine emotion and the older age group scored TABLE 10 | Correlation matrix between the accuracy scores on all tasks. FaMe-N
FaMe-E
Faces
Shoes
Face parts
House parts
FEM-H
Upr
Inv
Upr
Inv
Upr
Inv
Upr
Inv
FaMe-E
0.67
–
Faces
Upr
0.24
0.41
–
–
–
–
–
–
–
–
–
Inv
0.15
0.36
0.51
–
–
–
–
–
–
–
–
Shoes
Upr
0.20
0.23
0.60
0.61
–
–
–
–
–
–
–
Inv
0.27
0.34
0.60
0.63
0.69
–
–
–
–
–
–
Face parts
Upr
0.09
0.07
0.27
0.44
0.46
0.40
–
–
–
–
–
Inv
0.15
0.25
0.46
0.47
0.48
0.56
0.50
–
–
–
–
House parts
Upr
0.03
0.06
0.44
0.49
0.44
0.44
0.50
0.47
–
–
–
Inv
0.06
0.17
0.48
0.60
0.52
0.50
0.65
0.63
0.64
–
–
FEM-H
0.18
0.44
0.39
0.37
0.28
0.30
0.23
0.16
0.18
0.35
–
FEM-C
0.49
0.54
0.52
0.36
0.34
0.49
0.31
0.32
0.24
0.23
0.46
White; p < 0.01, light gray; p < 0.05, dark gray; ns. TABLE 10 | Correlation matrix between the accuracy scores on all tasks. Neutral Face Memory Task (FaMe-N) In this study, we provide normative data of a large group
of healthy controls on several face and object recognition
tasks, face memory tasks and emotion recognition tasks. The
effects of gender and age were also reported. All tasks have
a good internal consistency and an acceptable number of
outliers. The participants scored on average 78% correct (SD = 12%)
on the FaMe-N. No differences in accuracy scores on the FaMe-N The participants scored on average 78% correct (SD = 12%)
on the FaMe-N. No differences in accuracy scores on the FaMe-N October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 11 The Facial Expressive Action Stimulus Test de Gelder et al. TABLE 10 | Correlation matrix between the accuracy scores on all tasks. FaMe-N
FaMe-E
Faces
Shoes
Face parts
House parts
FEM-H
Upr
Inv
Upr
Inv
Upr
Inv
Upr
Inv
FaMe-E
0.67
–
Faces
Upr
0.24
0.41
–
–
–
–
–
–
–
–
–
Inv
0.15
0.36
0.51
–
–
–
–
–
–
–
–
Shoes
Upr
0.20
0.23
0.60
0.61
–
–
–
–
–
–
–
Inv
0.27
0.34
0.60
0.63
0.69
–
–
–
–
–
–
Face parts
Upr
0.09
0.07
0.27
0.44
0.46
0.40
–
–
–
–
–
Inv
0.15
0.25
0.46
0.47
0.48
0.56
0.50
–
–
–
–
House parts
Upr
0.03
0.06
0.44
0.49
0.44
0.44
0.50
0.47
–
–
–
Inv
0.06
0.17
0.48
0.60
0.52
0.50
0.65
0.63
0.64
–
–
FEM-H
0.18
0.44
0.39
0.37
0.28
0.30
0.23
0.16
0.18
0.35
–
FEM-C
0.49
0.54
0.52
0.36
0.34
0.49
0.31
0.32
0.24
0.23
0.46
White; p < 0.01, light gray; p < 0.05, dark gray; ns. TABLE 11 | Correlation matrix between the reaction times on all tasks. Frontiers in Psychology | www.frontiersin.org Neutral Face Memory Task (FaMe-N) Young adults are more sensitive to inversion in
this task. Lastly, no effects of gender or age were found on neutral face
memory, and participants scored quite well on the task, with
an average of almost 80% correct. Similarly, no clear effects of
age, gender or emotion were found on face memory as measured
with the FaMe-E, except that it seems that middle aged women
are slower to recognize previously seen identities when they
expressed sadness. Interestingly, this is in line with the “age-
related positivity effect” (Samanez-Larkin and Carstensen, 2011;
Reed and Carstensen, 2012). In general, the results corroborate
those from other studies on the effect of emotion on memory
(Johansson et al., 2004), but a wide variety of results has been
reported in the literature (Dobel et al., 2008; Langeslag et al.,
2009; Bate et al., 2010; D’Argembeau and Van der Linden, 2011;
Righi et al., 2012; Liu et al., 2014). In addition, we did not
find any relationships between configuration perception and face Thirdly, we found that fear and sadness recognition on our
FEM-H task was quite poor, but that anger, disgust, surprise and Frontiers in Psychology | www.frontiersin.org October 2015 | Volume 6 | Article 1609 12 The Facial Expressive Action Stimulus Test de Gelder et al. memory. This can be due to the fact that unlike in samples with
DPs and controls, there is less variability in inversion scores
and memory scores (i.e., most participants will not have any
configuration processing deficits similar to DPs and in contrast
to DPs, most controls are not severely limited on face memory). show the face in the test phase from a different angle that in
the training phase as is done in the matching tests. In addition,
the low performance on fear recognition should be assessed. In
short, the FEAST provides researchers with an extensive battery
for neutral and emotional face memory, whole and part-to-whole
face and object matching, configural processing and emotion
recognition abilities. The results indicate that age is most likely a modulating factor
when studying face and object processing, as the responses of
the middle aged group is often slower. One explanation besides
a general cognitive decline with age can be found in the literature
on the effect of age on facial recognition, where an “own-age bias”
is often found (Lamont et al., 2005; Firestone et al., 2007; He et al.,
2011; Wiese, 2012). REFERENCES de Gelder, B., and Bertelson, P. (2009). A comparative approach to testing face
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expressions. Front. Psychol. 2:206. Neutral Face Memory Task (FaMe-N) The “own-age bias” in face recognition refers
to the notion that individuals are more accurate at recognizing
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observer. For instance, children are better at recognizing child
faces and adults are better at recognizing adult faces. Future
researchers wishing to use the FEAST should compare the results
of their participants with the appropriate age group, or should
control for the effects of age or ideally, test age-matched controls. Gender on the other hand does not seem so influential, but this
article provides guidelines and data for both gender and age
groups regardless. FUNDING National Initiative Brain & Cognition; Contract grant number:
056-22-011. EU project TANGO; Contract grant number:
FP7-ICT-2007-0 FETOpen. European Research Council under
the European Union’s Seventh Framework Programme (ERC);
Contract grant number: FP7/2007–2013, agreement number
295673. JV is a post-doctoral research fellow for FWO-
Vlaanderen. Some limitations of the FEAST should be noted. One is the
lack of a non-face memory control condition using stimuli with
comparable complexity. However, a recent study with a group
of 16 DPs showed that only memory for faces, in contrast to
hands, butterflies and chairs was impaired (Shah et al., 2014),
so for this group this control condition might not be necessary. Also, the specific effects of all emotions, valence and arousal
may be taken into account in future research. The face memory
test could be complemented with the use of test images that SUPPLEMENTARY MATERIAL The Supplementary Material for this article can be found
online
at:
http://journal.frontiersin.org/article/10.3389/fpsyg. 2015.01609 AUTHOR CONTRIBUTIONS All authors contributed significantly to the concept and design
of the work. EH collected and analyzed the data. All authors
contributed to data interpretation. EH drafted the first version
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conducted in the absence of any commercial or financial relationships that could
be construed as a potential conflict of interest. Righart, R., and de Gelder, B. (2007). Impaired face and body perception in
developmental prosopagnosia. Proc. Natl. Acad. Sci. U.S.A. 104, 17234–17238. doi: 10.1073/pnas.0707753104 Copyright © 2015 de Gelder, Huis in ‘t Veld and Van den Stock. 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) or licensor 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. Righi, S., Marzi, T., Toscani, M., Baldassi, S., Ottonello, S., and Viggiano, M. P. (2012). Fearful expressions enhance recognition memory: electrophysiological
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functioning and the aging brain, “ in The Oxford Handbook of Social October 2015 | Volume 6 | Article 1609 Frontiers in Psychology | www.frontiersin.org 14
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Leukocyte Populations in Human Preterm and Term Breast Milk Identified by Multicolour Flow Cytometry
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RESEARCH ARTICLE OPEN ACCESS Citation: Trend S, de Jong E, Lloyd ML, Kok CH,
Richmond P, Doherty DA, et al. (2015) Leukocyte
Populations in Human Preterm and Term Breast Milk
Identified by Multicolour Flow Cytometry. PLoS ONE
10(8): e0135580. doi:10.1371/journal.pone.0135580 Methods Sixty mothers of extremely preterm (<28 weeks gestational age), very preterm (28–31 wk),
and moderately preterm (32–36 wk), as well as term (37–41 wk) infants were recruited. Colostrum (d2–5), transitional (d8–12) and mature milk (d26–30) samples were collected,
cells isolated, and leukocyte subsets analysed using flow cytometry. Data Availability Statement: Data are from the
COMET study, whose authors may be contacted at
stephanie.trend@uwa.edu.au. Data are restricted for
ethical reasons, but de-identified data will be made
available to all interested researchers upon request. Requests for information should be submitted to the
Women and Newborn Health Service Ethics
Committee ( kemhethics@health.wa.gov.au). Background Editor: Markus Sperandio, Ludwig-Maximilians-
Universität, GERMANY Editor: Markus Sperandio, Ludwig-Maximilians-
Universität, GERMANY
Received: April 22, 2015
Accepted: July 24, 2015
Published: August 19, 2015
Copyright: © 2015 Trend 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. Editor: Markus Sperandio, Ludwig-Maximilians-
Universität, GERMANY
Received: April 22, 2015
Accepted: July 24, 2015
Published: August 19, 2015
Copyright: © 2015 Trend 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. Editor: Markus Sperandio, Ludwig-Maximilians-
Universität, GERMANY
Received: April 22, 2015
Accepted: July 24, 2015
Published: August 19, 2015
Copyright: © 2015 Trend 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. Extremely preterm infants are highly susceptible to bacterial infections but breast milk pro-
vides some protection. It is unknown if leukocyte numbers and subsets in milk differ
between term and preterm breast milk. This study serially characterised leukocyte popula-
tions in breast milk of mothers of preterm and term infants using multicolour flow cytometry
methods for extended differential leukocyte counts in blood. Leukocyte Populations in Human Preterm
and Term Breast Milk Identified by
Multicolour Flow Cytometry Stephanie Trend1,2, Emma de Jong1,2,3, Megan L. Lloyd1,4, Chooi Heen Kok1,5,
Peter Richmond2, Dorota A. Doherty6, Karen Simmer1,5, Foteini Kakulas7,
Tobias Strunk1,5, Andrew Currie1,2,3* Stephanie Trend1,2, Emma de Jong1,2,3, Megan L. Lloyd1,4, Chooi Heen Kok1,5,
Peter Richmond2, Dorota A. Doherty6, Karen Simmer1,5, Foteini Kakulas7,
Tobias Strunk1,5, Andrew Currie1,2,3* 1 Centre for Neonatal Research and Education, The University of Western Australia, Perth, Western
Australia, Australia, 2 School of Paediatrics and Child Health, The University of Western Australia, Perth,
Western Australia, Australia, 3 School of Veterinary and Life Sciences, Murdoch University, Perth, Western
Australia, Australia, 4 School of Pathology and Laboratory Medicine, The University of Western Australia,
Perth, Western Australia, Australia, 5 Neonatal Clinical Care Unit, King Edward Memorial Hospital for
Women, Perth, Western Australia, Australia, 6 School of Women’s and Infants’ Health, The University of
Western Australia, Perth, Western Australia, Australia, 7 School of Chemistry and Biochemistry, The
University of Western Australia, Perth, Australia * a.currie@murdoch.edu.au * a.currie@murdoch.edu.au Introduction Feeding of human breast milk (BM) is associated with fewer infections and reduced gastroin-
testinal inflammation in preterm infants [1, 2]. Though all newborns have weak cellular and
humoral defences, preterm infants are particularly susceptible to bacterial infections, with
known deficiencies in adaptive and innate immunity including decreased leukocyte pool, lack
of third trimester maternal immunoglobulin transfer, and decreased leukocyte cytokine and
antibody production in response to bacteria [3–7]. BM contains a myriad of immunological,
biochemical and cellular contents, which have the potential to significantly alter newborn
immunity and susceptibility to infection. BM-derived leukocytes engulf and kill bacteria [8]
and produce antimicrobial proteins and peptides (AMPs) [9]. In animal models, BM leuko-
cytes can translocate from the gastrointestinal tract to blood and distant sites including the
liver and spleen [10, 11]. Microscopy-based identification of BM leukocytes comparing very
preterm (<32 wk gestational age; GA), moderately preterm (32–34 wk GA), and term colos-
trum suggests an inverse correlation between GA and the concentration of leukocytes [12]. However, it is not known how preterm birth affects the leukocyte populations in transitional or
mature milk, or in milk after extremely preterm birth (<28 wk GA). Several flow cytometry-based methods for differentiation of blood and bone marrow leuko-
cytes have been recently described, that allow for the reliable, automated and extended differ-
entiation of known leukocyte subsets [13–17]. Importantly, these methods have been validated
against the gold standard of diagnostic cytology and allow for a robust measurement of an
extended differential leukocyte count (up to 11 leukocytes subsets) in both healthy and diseased
individuals [18]. These methods may allow for identification of a greater range of leukocytes in
BM, especially in the presence of mammary gland epithelial cells and stem cells and achieve
greater certainty and superior differentiation. Given the potential for maternal leukocytes to
contribute to infant immunity, an extended characterisation of preterm BM leukocytes may
contribute to our understanding of the susceptibility of preterm infants to infections. The aims of this study were to assess the effectiveness of the use of an extended validated
blood leukocyte differential staining panel, described by Faucher et al. [13], to identify the
same leukocyte populations in human milk; to use this method to compare the total milk leu-
kocyte concentration and subset frequencies in colostrum, transitional and mature milk, and;
to investigate the effect of preterm birth and infection on these cell populations in milk. Leukocytes in Preterm Milk Conclusions from WIRF for this work. FH was the recipient of an
unrestricted research grant by Medela AG
(Switzerland). The funders had no role in study
design, data collection and analysis, decision to
publish, or preparation of the manuscript. Flow cytometry is a useful tool to identify and quantify leukocyte subsets in breast milk. The
stage of lactation is associated with major changes in milk leukocyte composition in this
population. Fresh preterm breast milk is not deficient in leukocytes, but shorter gestation
may be associated with minor differences in leukocyte subset frequencies in preterm com-
pared to term breast milk. Competing Interests: The authors have declared
that no competing interests exist. Results The major CD45+ leukocyte populations circulating in blood were also detectable in breast
milk but at different frequencies. Progression of lactation was associated with decreasing
CD45+ leukocyte concentration, as well as increases in the relative frequencies of neutro-
phils and immature granulocytes, and decreases in the relative frequencies of eosinophils,
myeloid and B cell precursors, and CD16- monocytes. No differences were observed
between preterm and term breast milk in leukocyte concentration, though minor differences
between preterm groups in some leukocyte frequencies were observed. Funding: ST received postgraduate scholarships
from the Centre for Neonatal Research and
Education, Women and Infants Research Foundation
(WIRF), and the Princess Margaret Hospital (PMH)
foundation. TS and ST received an early career grant PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 1 / 17 NE | DOI:10.1371/journal.pone.0135580
August 19, 201 Materials and Methods
Sample collection The Women and Newborn Health Service Human Research Ethics Committee approved this
study. Written informed consent was obtained from sixty women giving birth between 22–42
wk gestation before commencing any study procedures or sample collection. Inclusion criteria 2 / 17 PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 Leukocytes in Preterm Milk included maternal age 18 years, intention to breastfeed and absence of primary immune defi-
ciencies, diabetes mellitus or known congenital abnormalities. Sixty participants were recruited
across four groups based on WHO preterm birth categories [19]; extremely preterm (EP, <28
wk GA; n = 15), very preterm (VP, 28–31 wk GA; n = 15), moderately preterm (MP, 32–36 wk
GA; n = 15) or term (37–41 wk GA; n = 15). Individuals with a history of other common condi-
tions, particularly those associated with preterm birth such as infections and hypertension
were not excluded, nor individuals taking medications, in order to gain a representative sample
of the preterm population. BM was collected from participants at three time points, selected to represent colostrum (C;
day 2–5, 3.5 mL), transitional milk (TM; d8–12; 7 mL) and mature milk (MM; d26–30; 7
mL), based on the categories described by Castellote et al. [20]. Participants were instructed on
hygienic collection of milk by qualified nursing staff. This included washing hands with soap
and water before milk collection and using sterile containers and clean equipment for expres-
sion. Participants were asked to clean the nipple with soap and water before expressing milk. BM was expressed using electronic pumps, hand-operated pumps or manual expression
(according to the donor’s usual method), and an aliquot removed with a sterile Pasteur pipette
to a 15 mL plastic tube. Whole BM was stored at 4°C until collected by research staff, and trans-
ported to the research laboratory on ice. Between expression of BM and processing of the milk,
samples were stored for a median of 8.29 hrs (range 1–50.9 hrs) in the refrigerator or in trans-
port (on ice). The volume of milk donated to the study was recorded at each visit before pro-
cessing. Samples were mixed gently and the cells were pelleted by centrifugation at 600 x g for
15 minutes at 4°C. Materials and Methods
Sample collection The lipid layer and skim milk were removed with a Pasteur pipette, and the
remaining cell pellet was washed twice in phosphate buffered saline (Gibco), and resuspended
in 0.1–2.0 mL of flow cytometry buffer, described in the cell staining method below, to approxi-
mately one million cells/mL, for optimal cell to antibody ratios during staining and quantifica-
tion of cells. The volumes of flow cytometry buffer that were used to resuspend cells and the
original volume of milk processed were recorded for each sample so that the original cell con-
centration of the milk samples could be determined. Peripheral venous blood was collected
from a single healthy adult donor into a sodium heparin Vacutainer (BD), and was mixed and
stored at room temperature until staining. Determination of cell viability using visual counting methods All cells enumerated by microscopy were analysed by a single operator using a Neubauer
improved haemocytometer (BOECO, Germany). For each sample, two different aliquots of
BM cell suspensions were stained by dilution of cell suspensions to approximately 1 x 105–2.5 x
106 cells/mL in a 0.4% Trypan blue solution (Sigma-Aldrich, Castle Hill, Australia) in PBS, or
white cell counting fluid (2% glacial acetic acid containing crystal violet). Ten microliters of
each suspension was pipetted into the counting chamber under the cover slip, and the average
of three counts taken to calculate the concentration of cells, based on the volume in the cham-
ber. Trypan blue stained cell counts were used to determine the non-viable cell concentration. A total cell concentration estimate was calculated by counting nucleated cells in white cell
counting fluid. The proportion of non-viable cells was calculated based on the numbers of Try-
pan blue stained (non-viable) compared to total cells. Cell staining Antibodies raised against human leukocyte antigens, stabilising fixative, FACSLyse, compensa-
tion beads and Trucount tubes were purchased from BD (North Ryde, Australia). Flow cytom-
etry buffer was prepared in phosphate buffered saline (Gibco) supplemented with heat- 3 / 17 PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 Leukocytes in Preterm Milk inactivated fetal bovine serum (FBS; Sigma, Australia) at 2% v/v, 2% w/v bovine serum albumin
(Sigma-Aldrich), and 0.01% w/v sodium azide (Sigma-Aldrich). Fifty microliters of either BM cells suspended in flow cytometry buffer at approximately 1 x
106 cells/mL or whole blood was incubated for 15 minutes at room temperature with a cocktail
of six specific anti-human monoclonal antibodies (mAb): Phycoerythrin (PE) conjugated
CD36 (clone CB38, catalogue #555455; 10 μL per sample), Allophycocyanin (APC) conjugated
CD2 (RPA-2.10, 560642; 0.5 μL per sample), Alexa Fluor 647 conjugated CD294 (BM16,
561797; 0.5 μL per sample), APC-H7 conjugated CD16 (3G8, 560195; 2.5 μL per sample),
V450 conjugated CD19 (HIB19, 560353; 0.25 μL per sample), and V500 conjugated CD45
(HI30, 560779; 1.25 μL per sample). The final dilution of antibody used was determined
through titration experiments. Stained blood was treated with FACSLyse according to manu-
facturer’s specifications prior to further analysis to remove erythrocytes. After staining, BM
and blood cells were washed once with 1 mL of flow cytometry buffer by centrifugation at 290
x g at 10°C for 3 min, then resuspended in 300 μL of BD stabilizing fixative and transferred to a
Trucount tube. Fixed samples were stored at 4°C protected from light until analysis by flow
cytometry, which for most samples was performed within 2 hrs, though the maximum allowed
storage time for fixed cells before cytometry was 24 hrs based on previous experiments in our
laboratory, which demonstrated the preservation of the staining characteristics under these
conditions (data not shown). PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 Flow cytometry Flow cytometry was performed on a FACSCanto II (BD Biosciences) using FACSDiva software
(BD Biosciences). Before sample analysis, the flow cytometer settings were checked using
Cytometer Setup and Tracking beads (CS&T beads, BD) according to the manufacturer’s
instructions. Compensation beads were used with single stains of each antibody in order to
determine the compensation settings, and these were applied in FlowJo software (version
10.0.6, Tree Star, Ashland, OR, USA) after data collection. The same compensation matrix was
applied to all samples. A side scatter (SSC) threshold level was set at 4,000 units to eliminate
debris. Gain settings were optimised for detection of stained populations using Ultra Rainbow
Calibration Particles (SpheroTech Inc., Lake Forest IL, USA), and kept consistent throughout
the study. Recorded data were compensated post-hoc and analysed using FlowJo software. Statistical
tests were performed in SPSS (IBM) and Prism for Mac (version 5, GraphPad, La Jolla CA,
USA). Specific antibody staining data were visualised using bi-exponential transformation in
FlowJo software. Gates used to discriminate positive and negative staining cells in FlowJo were
set according to fluorescence minus one (FMO) tests of milk and blood samples, and these
gates were applied consistently to all samples, allowing for minor adjustments for SSC
variability. y
Gating strategy. Positive gated populations were selected using gates set through FMO
tests, in which <1.7% of cells stained falsely positive for any antibody. Gate specificity selected
using this method was confirmed by using the gating strategy on a single adult peripheral
blood sample as a biological comparison control [21]. Prior to gating of leukocytes, Trucount
beads were gated separately from cells in a SSC vs. PerCPCy5.5 visualisation; doublets were dis-
criminated using a forward scatter (FSC)-H vs. FSC-A plot, and small particles excluded in a
FSC vs. SSC plot (S1 Fig). Leukocytes in human milk were identified based on the method of
Faucher et al., using orientating and specific gates [13] as described below. The first orientating gate was selected using a SSC vs. CD45 plot where the cut-off for CD45
+ cells was set using FMO control. Subsequently, a SSC vs. CD16 plot of CD45+ cells separated PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 4 / 17 Leukocytes in Preterm Milk Fig 1. Overlay of gating strategy applied to peripheral adult blood (red) and to breast milk (blue), based on the method of Faucher et al. Flow cytometry The
sequences of gates leading to each panel are shown above each panel. Panel 1: CD45 positive cells were gated as shown in A. Panel 2: CD45+ cells
identified in Panel 1 were separated based on CD16 staining and side scatter properties, including a C16+/SSClow gate (B), and two overlapping gates of
CD16- cells (C and D), and the CD16+ neutrophil population were identified. Panel 3: CD45+/CD16+/SSClow cells identified in Panel 2 gate B were
separated into cytotoxic T and NK lymphocytes and CD16+ monocytes based on CD2/CD294 and CD36 staining properties. Panel 4: CD45+/CD16-/
SSClow–intermediate cells (gate C) were separated based on CD2/CD294 positive (gate E) or negative (gate F) populations. Panel 5: From Panel 4, CD2
and/or CD294 positive cells (gate E) were gated into non-cytotoxic T cells or basophils using side scatter and CD45 staining properties. Panel 6: From Panel
4, CD2/CD294- cells (gate F) were gated into CD19+/CD36- cells (gate H) or CD19- cells (gate G). Panel 7a: Cells gated in G in Panel 6 with CD45high and
CD36+ were identified as CD16 negative monocytes. Panel 7b: From Panel 6 gate G, CD45low cells with low side scatter were identified as myeloid
precursor cells. Panel 8: From Panel 6, CD19 positive cells (gate H) were discriminated into B cells or B cell precursors based on CD45 staining though both
populations displayed low side scatter properties. Panel 9: From Panel 2, CD16- cells with intermediate to high side scatter (gate D) and CD45low staining
were identified as immature granulocytes, and those with intermediate to high CD45 staining properties and high side scatter were separated into gate I. Panel 10: From Panel 9, cells in gate I were identified by positive CD2/CD294 staining as eosinophils. doi:10 1371/journal pone 0135580 g001 Fig 1. Overlay of gating strategy applied to peripheral adult blood (red) and to breast milk (blue), based on the method of Faucher et al. The
sequences of gates leading to each panel are shown above each panel. Panel 1: CD45 positive cells were gated as shown in A. Panel 2: CD45+ cells
identified in Panel 1 were separated based on CD16 staining and side scatter properties, including a C16+/SSClow gate (B), and two overlapping gates of
CD16- cells (C and D), and the CD16+ neutrophil population were identified. Flow cytometry Panel 3: CD45+/CD16+/SSClow cells identified in Panel 2 gate B were
separated into cytotoxic T and NK lymphocytes and CD16+ monocytes based on CD2/CD294 and CD36 staining properties. Panel 4: CD45+/CD16-/
SSClow–intermediate cells (gate C) were separated based on CD2/CD294 positive (gate E) or negative (gate F) populations. Panel 5: From Panel 4, CD2
and/or CD294 positive cells (gate E) were gated into non-cytotoxic T cells or basophils using side scatter and CD45 staining properties. Panel 6: From Panel
4, CD2/CD294- cells (gate F) were gated into CD19+/CD36- cells (gate H) or CD19- cells (gate G). Panel 7a: Cells gated in G in Panel 6 with CD45high and
CD36+ were identified as CD16 negative monocytes. Panel 7b: From Panel 6 gate G, CD45low cells with low side scatter were identified as myeloid
precursor cells. Panel 8: From Panel 6, CD19 positive cells (gate H) were discriminated into B cells or B cell precursors based on CD45 staining though both
populations displayed low side scatter properties. Panel 9: From Panel 2, CD16- cells with intermediate to high side scatter (gate D) and CD45low staining
were identified as immature granulocytes, and those with intermediate to high CD45 staining properties and high side scatter were separated into gate I. Panel 10: From Panel 9, cells in gate I were identified by positive CD2/CD294 staining as eosinophils. doi:10.1371/journal.pone.0135580.g001 events into a specific SSChigh/CD16+ neutrophil gate, and three orientating gates (SSClow/
CD16+, SSClow–int/CD16-, or SSChigh/CD16-). Subsequent orientating and specific gates for
other populations are shown in Fig 1. CD16+ and CD16- monocytes, B lymphocytes, cytotoxic
T and NK lymphocytes, non-cytotoxic T lymphocytes, neutrophils, eosinophils, basophils,
immature granulocytes, myeloid precursors and B cell precursors were identified in colostrum,
transitional and mature milk using this gating strategy. CD45+ cell quantification using flow cytometry and Trucount beads. The absolute con-
centration of leukocytes in BM was calculated from the number of gated Trucount beads, as
described by the manufacturer. Flow cytometry Briefly, the number of gated CD45+ and Trucount bead events
were combined with the data recorded on the volume of milk that the cell pellet was derived
from to determine the concentration of cells in the original milk sample, using the formula; PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 5 / 17 Leukocytes in Preterm Milk Cell concentration (cells/mL) = (number of gated cells/number of gated Trucount beads) x
(number of Trucount beads per test/total tested cell suspension volume) x (volume of flow
cytometry buffer used to resuspend cell pellet /original milk volume recorded). Leukocyte subset counts were determined in the same manner, and subset frequencies were
determined by comparing specific subset concentrations to the total concentration of CD45
+ cells in the sample. Participant characteristics The clinical characteristics of the sixty study participants are shown in Table 1. The number of
samples analysed in each GA group are shown in Table 2. Analysis of the effects of maternal infection on breast milk composition Collection of maternal clinical data including medications, health status and pregnancy infor-
mation was performed using medical record review for each individual from hospital admis-
sion to discharge during birth, and at any subsequent hospital admissions during the first
month postpartum. After hospital review, data on maternal health were collected through self-
reported questionnaires covering the previous seven days at the time of milk donation. Mater-
nal infection was considered present based on any evidence of chorioamnionitis (either with or
without positive microbiological culture, where available tissues (n = 36) were examined by an
experienced histopathologist according to the method of Redline et al. [22]), or a positive
microbiological culture or symptoms of infection requiring treatment with antibiotics pre-
scribed by a physician. Milk from individuals with known infection and without infection were
compared at the three collection time points. Statistical analyses Categorical data were summarised using frequency distributions, and continuous data was
summarized using means and standard deviations or median and interquartile ranges, as
appropriate. Nonparametric tests were used for comparisons of continuous outcomes, due to
lack of normality evaluated using Shapiro-Wilk normality tests. Differences in outcomes
between the four GA groups were compared using Kruskal-Wallis tests with Dunn’s multiple
comparison post-test. Concentrations of cells in the same mother in colostrum, transitional or
mature milk were examined using a Freidman test and individual sampling periods were com-
pared using Dunn’s multiple comparison post-test. Milk concentration comparisons with and
without infection were compared with Mann-Whitney tests. Comparisons were made between
individuals for whom data on health status was available at the time of milk collection only. Spearman correlation (denoted ‘ρ’) was used to measure the association between GA at birth
and factors in milk. Statistical analysis was performed using SPSS statistical analysis software (version 20, IBM,
Armonk, NY, USA). p-values <0.05 were considered statistically significant. Gating strategy The application of the whole blood gating strategy for assessing leukocytes in BM samples in
mothers is shown in Fig 1, comparing a representative BM sample to an adult blood sample. In
colostrum, a median 64% (range 37%–85%) of leukocytes were members of identifiable leuko-
cyte subsets based on the Faucher blood phenotype gating strategy, increasing to 77% (range
37%–95%) in transitional milk and 82% (range 65%–98%) in mature milk (Friedman test
p<0.001). In BM, there were additional CD45+ populations that could not be categorised
according to the Faucher gating method. These ungated leukocyte populations can be seen out-
side the established gates in Panels 3, 6, 8, and 10. Leukocytes in Preterm Milk Table 1. Clinical characteristics of the sixty study participants. Bolded p-values indicate those that were considered statistically significant. Continuous
variables gestation period and maternal age were compared between groups using one-way analysis of variance, and categorical variables compared using
Fisher exact Chi-squared tests. EP = extremely preterm, VP = very preterm, MP = moderately preterm, SD = standard deviation. Table 1. Clinical characteristics of the sixty study participants. Bolded p-values indicate those that were considered statistically significant. Continuous
variables gestation period and maternal age were compared between groups using one-way analysis of variance, and categorical variables compared using
Fisher exact Chi-squared tests. EP = extremely preterm, VP = very preterm, MP = moderately preterm, SD = standard deviation. Clinical characteristic
Value
EP (n = 15)
VP (n = 15)
MP (n = 15)
Term (n = 15)
p-value
Gestation period (mean ±SD)
Weeks
26.1±1.2
30.2±1.3
34.4±1.3
39.4±0.77
<0.001
Maternal age (mean±SD)
Years
31.3±5.2
30.1±6.9
31.6±6.9
29.7±6.0
0.879
Maternal Infection (n, % providing milk)
Colostrum
3 (30)
6 (55)
3 (27)
1 (11)
0.016
Transitional milk
2 (20)
3 (23)
0 (0)
3 (25)
0.085
Mature milk
2 (20)
2 (17)
1 (11)
2 (13)
0.826
Mode of delivery (n, %)
Vaginal
9
5
8
9
0.448
Caesarean section
6
10
7
6
doi:10.1371/journal.pone.0135580.t001 correlated with the period between BM collection and processing (ρ = 0.43, p<0.001), but did
not correlate with CD45+ cell concentrations or the proportion of leukocytes that were identifi-
able. There were no significant differences in cellular viability or storage times between the pre-
term and term mother milk samples at any time point. In comparison to the concentration of CD45+ cells obtained with flow cytometry using Tru-
count beads, the total nucleated cell counts obtained with microscopy were consistently higher,
but a significant correlation between the two measures was observed (ρ = 0.6, p<0.001; Fig 2). Changes in CD45+ cell concentration through the stages of lactation The distributions of BM concentrations of total CD45+ cells in all GA groups were significantly
different at the different collection periods (p<0.001). The concentration of leukocytes in
colostrum (median 146,000 cells/mL, range 8,470–1,510,000) was significantly higher than in
both transitional milk (median 27,500 cells/mL, range 1,570–2,260,000; p<0.001) and mature
milk (median 23,650, range 2,000–577,000; p<0.001). No significant difference between the
transitional milk and mature milk leukocyte concentrations was observed. There were no significant differences in total leukocyte concentration between GA groups
in colostrum, transitional milk or mature milk (Fig 3). The concentration of leukocytes was
negatively correlated with the volume of BM expressed (ρ = -0.317; p<0.01), and therefore, dif-
ferential analyses of the frequency of leukocyte subsets, in addition to total leukocyte concen-
trations, were performed. Milk cell counts and viability The median number of objects with cell-like appearance in all samples using white cell count-
ing fluid and microscopy was 313,500 per millilitre (range 34,300–8,020,000 per millilitre). The
time from sample collection to processing was short for most samples (median 8.29 hrs,
range 1–50.9 hrs) and the corresponding percentage of dead cells was low (median 1.46% dead,
range 0–11.52%, respectively). The percentage of dead cells identified by Trypan blue exclusion 6 / 17 PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 Leukocytes in Preterm Milk Leukocytes in Preterm Milk Table 2. Total leukocyte and subset concentrations in breast milk measured across the first month of lactation. Median [interquartile range] values
of total leukocytes and leukocyte subsets per millilitre of breast milk detected using flow cytometry in preterm and term mother groups in colostrum, transi-
tional milk and mature milk. Symbol a with bolded text denotes a significantly different comparison in Kruskal-Wallis tests comparing gestational age groups
after adjusting for multiple comparisons. Other comparisons were not statistically significant. EP = extremely preterm, VP = very preterm, MP = moderately
preterm Table 2. Total leukocyte and subset concentrations in breast milk measured across the first month of lactation. Median [interquartile range] values
of total leukocytes and leukocyte subsets per millilitre of breast milk detected using flow cytometry in preterm and term mother groups in colostrum, transi-
tional milk and mature milk. Symbol a with bolded text denotes a significantly different comparison in Kruskal-Wallis tests comparing gestational age groups
after adjusting for multiple comparisons. Other comparisons were not statistically significant. EP = extremely preterm, VP = very preterm, MP = moderately
preterm. Table 2. Total leukocyte and subset concentrations in breast milk measured across the first month of lactation. Median [interquartile range] values
of total leukocytes and leukocyte subsets per millilitre of breast milk detected using flow cytometry in preterm and term mother groups in colostrum, transi-
tional milk and mature milk. Symbol a with bolded text denotes a significantly different comparison in Kruskal-Wallis tests comparing gestational age groups
after adjusting for multiple comparisons. Other comparisons were not statistically significant. Changes in breast milk leukocyte composition from colostrum to mature
milk The median frequencies of leukocyte subsets identified in colostrum, transitional milk, and
mature milk are shown in Fig 4. A proportion of leukocytes did not fall into set gates for blood PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 7 / 17 PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 EP = extremely preterm, VP = very preterm, MP = moderately
preterm p
Colostrum
Transitional milk
Mature milk
EP
(n = 10)
VP
(n = 11)
MP
(n = 11)
Term
(n = 9)
EP
(n = 10)
VP
(n = 13)
MP
(n = 12)
Term
(n = 12)
EP
(n = 10)
VP
(n = 12)
MP
(n = 9)
Term
(n = 15)
CD45 cells/
mL
271,000
[95,200–
439,000]
96,000
[73,700–
352,000]
129,000
[67,700–
360,000]
184,000
[111,000–
291,000]
69,550
[20,300–
136,000]
26,000
[14,400–
54,200]
27,250
[10,450–
63,950]
32,450
[10,450–
66,150]
27,250
[14,400–
48,700]
12,500
[7,360–
23,700]
44,700
[28,200–
77,400]
14,700
[7,420–
56,500]
CD16
+ monocytes
2,415
[1,420–
14,100]
3,850
[1,930–
7,920]
2,490
[1,070–
4,890]
3,060
[903–
5,800]
657
[370–
1,450]
486
[310–
1,060]
346
[248–
646]
364
[170–
772]
706
[203–
1,130]
225
[123–
435]
686
[384–
1,110]
307
[164–
1,160]
Cytotoxic
T&NK cells
2,020
[389–
6,010]
1,530
[208–
4,510]
1,020
[722–
1,940]
945 [468–
1,250]
198 [86–
701]
135 [79–
835]
288
[145–
648]
222 [66–
756]
452 [81–
1,220]
109
[59–
218]a
430
[198–
947]a
340
[128–
513]
Basophils
7,125
[3,460–
10,600]
2,780
[1,330–
12,400]
4,490
[2,440–
9,050]
2,460
[1,490–
3,410]
654
[174–
1,240]
611
[158–
851]
591
[345–
982]
435
[172–
1,320]
235
[106–
369]
263
[98–
374]
1,550
[340–
2,320]
370
[96–
571]
Non-
cytotoxic T
cells
29,045
[8,760–
62,500]
14,800
[4,380–
26,500]
24,800
[2,860–
41,200]
5,410
[4,640–
16,300]
2,130
[1,480–
5,750]
1,860
[732–
6,940]
3,545
[335–
4,210]
1,740
[524–
4,300]
1,205
[400–
5,330]
647
[397–
1,695]
4,360
[953–
9,530]
1,290
[250–
4,040]
CD16-
monocytes
2,805
[1,480–
7,850]
2,350
[997–
4,720]
2,460
[1,290–
14,500]
1,990
[233–
5,800]
198 [46–
971]
183 [71–
776]
357
[252–
1,128]
531 [89–
801]
106 [21–
916]
146
[43–
344]
1,070
[170–
2,370]
213
[28–
501]
Myeloid
precursors
24,100
[13,700–
63,200]
15,500
[6,690–
84,300]
19,600
[10,100–
80,300]
16,900
[14,200–
21,300]
7,475
[4,040–
57,900]
4,050
[1,930–
8,930]
5,210
[1,295–
8,095]
6,295
[2,480–
11,750]
1,173
[532–
4,460]
1,230
[520–
2,790]
4,060
[2,550–
6,430]
1,490
[559–
4,560]
B cell
precursors
2,395
[1,720–
12,700]
3,100
[1,970–
10,300]
1,800
[689–
5,110]
7,720
[1,620–
8,370]
1,825
[1,360–
2,840]a
530
[305–
917]
233
[158–
555]a
485
[207–
1,235]
298
[132–
1,130]
81 [47–
258]
124 [89–
194]
135
[74–
285]
B cells
1,311
[356–
8,060]
716
[306–
2,860]
470
[227–
868]
982 [333–
1,230]
414 [63–
552]
167 [57–
260]
82 [41–
118]
149 [73–
230]
177 [46–
313]a
24 [14–
89]a
160 [57–
221]
59 [26–
127]
Neutrophils
25,450
[9,520–
74,500]
15,700
[6,410–
26,700]
20,600
[7,840–
25,500]
23,500
[1,980–
65,900]
6,785
[1,640–
15,400]
2,250
[1,810–
4,740]
4,095
[1,635–
12,250]
5,640
[1,221–
14,425]
7,665
[2,950–
13,400]
3,745
[2,280–
5,765]
9,310
[7,610–
10,500]
2,560
[1,490–
25,700]
Eosinophils
4,040
[1,550–
8,010]
2,650
[1,160–
10,200]
3,690
[2,270–
5,520]
1,760
[1,040–
2,890]
397 [78–
915]
228
[132–
933]
408
[187–
859]
371 [75–
1,685]
157 [31–
402]
164
[51–
461]
976
[181–
2,620]
269
[110–
395]
Immature
granulocytes
19,400
[13,100–
35,800]
7,780
[4,300–
20,600]
10,100
[2,580–
35,000]
12,600
[8,410–
26,500]
7,850
[1,660–
35,900]
3,280
[1,300–
6,870]
2,970
[1,615–
5,435]
2,945
[2,160–
12,230]
4,390
[949–
16,100]
2,510
[1,295–
8,595]
9,100
[7,600–
11,000]
2,050
[775–
14,600]
doi:10.1371/journal.pone.0135580.t002 leukocytes (median at each time point 18–36% across GA groups). doi:10.1371/journal.pone.0135580.t002 The percentage of leuko-
cytes that were identified as blood subsets in milk was positively correlated with the number of
days postpartum that the milk was expressed (ρ = 0.604, p<0.001). Of the identified cells, the
major leukocytes present were myeloid precursors (median 9–20%), neutrophils (median 12–
27%), immature granulocytes (median 8–17%), and non-cytotoxic T cells (median 6–7%). The
relative median frequencies of neutrophils and immature granulocytes of total leukocytes sig-
nificantly increased from colostrum to mature milk (Fig 4H and 4J), whereas the relative fre-
quencies of CD16- monocytes, myeloid precursors, B cell precursors, eosinophils, and
basophils decreased over the first month postpartum (Fig 4 parts D, E, F, I and K; p<0.05). PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 8 / 17 Leukocytes in Preterm Milk Fig 2. Comparison of the total cell concentrations obtained from milk samples with different methods. Figure shows scatterplot of total cell counts obtained through microscopy on x-axis, compared with total
CD45+ leukocyte concentrations obtained with flow cytometry on the y-axis. All data are shown on a log
scale. doi:10.1371/journal.pone.0135580.g002 Fig 2. Comparison of the total cell concentrations obtained from milk samples with different methods. Figure shows scatterplot of total cell counts obtained through microscopy on x-axis, compared with total
CD45+ leukocyte concentrations obtained with flow cytometry on the y-axis. All data are shown on a log
scale. Fig 2. Comparison of the total cell concentrations obtained from milk samples with different methods. Figure shows scatterplot of total cell counts obtained through microscopy on x-axis, compared with total
CD45+ leukocyte concentrations obtained with flow cytometry on the y-axis. All data are shown on a log
scale. Fig 2. Comparison of the total cell concentrations obtained from milk samples with different methods. Figure shows scatterplot of total cell counts obtained through microscopy on x-axis, compared with total
CD45+ leukocyte concentrations obtained with flow cytometry on the y-axis. All data are shown on a log
scale. doi:10.1371/journal.pone.0135580.g002 Fig 3. Leukocyte concentrations in breast milk samples. Boxplots showing the total concentration of leukocytes (cells/mL) on a log scale in colostrum (C,
n = 41), transitional milk (TM, n = 47), and mature milk (MM, n = 46), in extremely preterm (white), very preterm (light grey), moderately preterm (dark grey)
and term (striped) donors. Fig 3. Leukocyte concentrations in breast milk samples. Boxplots showing the total concentration of leukocytes (cells/mL) on a log scale in colostrum (C,
n = 41), transitional milk (TM, n = 47), and mature milk (MM, n = 46), in extremely preterm (white), very preterm (light grey), moderately preterm (dark grey)
and term (striped) donors. doi:10.1371/journal.pone.0135580.g003 doi:10.1371/journal.pone.0135580.g003 PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 9 / 17 Effects of gestation on milk leukocyte concentration and frequencies Some minor differences in GA groups were observed in the concentration of specific leukocyte
subsets at different sampling points. In colostrum, the relative frequencies of non-cytotoxic T
cells and B lymphocytes in the total leukocyte populations were negatively correlated with
increasing gestation (ρ = -0.35, p = 0.03 and ρ = -0.319, p = 0.04, respectively). In transitional milk, the concentration of B cell precursors was significantly higher in
extremely preterm mothers compared to moderately preterm mothers (median 1,825 cells/mL
vs. 233 cells/mL, p = 0.02; Table 2), and the frequency of CD16 negative monocytes was signifi-
cantly lower in extremely preterm mothers compared to moderately preterm mothers (median
0.34% vs. 2.13%, p = 0.03; Table A in S1 File). In transitional milk, the frequency of neutrophils
was positively correlated with gestation (ρ = 0.305; p = 0.04). In mature milk, total cytotoxic T and NK cells concentrations were significantly lower in
very preterm compared to moderately preterm mothers (median 109 vs. 430 cells/mL;
p = 0.04). B lymphocyte concentration was significantly higher in extremely preterm compared
to very preterm mothers (median 177 vs. 24 cells/mL; p = 0.04). In mature milk, no significant
correlations between total leukocyte or subset frequencies and gestation were observed. Leukocytes in Preterm Milk Fig 4. Changes to the composition of breast milk through the first month of lactation. Line shows the median value for that milk sampling time point. Data show A) concentrations of total CD45+ cells in colostrum (C), transitional milk (TM) or mature milk (MM); B-L) frequencies of leukocyte subsets in
colostrum (C), transitional milk (TM) and mature milk (MM) from all donors. *p<0.05 in post-test comparing different stages of lactation; for each comparison,
number of symbols indicates p-value (*p<0.05, **p<0.01, ***p<0.001). Fig 4. Changes to the composition of breast milk through the first month of lactation. Line shows the median value for that milk sampling time point. Data show A) concentrations of total CD45+ cells in colostrum (C), transitional milk (TM) or mature milk (MM); B-L) frequencies of leukocyte subsets in
colostrum (C), transitional milk (TM) and mature milk (MM) from all donors. *p<0.05 in post-test comparing different stages of lactation; for each comparison,
number of symbols indicates p-value (*p<0.05, **p<0.01, ***p<0.001). Fig 4. Changes to the composition of breast milk through the first month of lactation. Line shows the median value for that milk sampling time point. Data show A) concentrations of total CD45+ cells in colostrum (C), transitional milk (TM) or mature milk (MM); B-L) frequencies of leukocyte subsets in
colostrum (C), transitional milk (TM) and mature milk (MM) from all donors. *p<0.05 in post-test comparing different stages of lactation; for each comparison,
number of symbols indicates p-value (*p<0.05, **p<0.01, ***p<0.001). doi:10.1371/journal.pone.0135580.g004 Effects of bacterial infections on leukocyte concentration and
frequencies The total number of CD45+ cells did not significantly differ in BM of mothers with or without
recent infection (for more information, refer to Table B in S1 File). There were no differences
in milk leukocyte concentrations or leukocyte subset frequencies between those with or without
infection in colostrum. However, in transitional milk, those with reported bacterial infections
around the time of the donation (n = 7) had significantly lower frequencies of basophils than
those who were well (n = 40) (median 0.91% vs. 1.68%; p = 0.02). Furthermore, bacterial infec-
tions (n = 6 vs. not infected n = 40) at the time of mature milk sampling were also associated
with lower frequencies of basophils (median 0.72% vs. 1.67%; p = 0.03). Leukocyt Leukocytes in Preterm Milk PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 10 / 17 PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 Discussion Using a multicolour flow cytometry panel validated to identify CD45+ leukocyte subsets in
human blood [13], we were able to identify and quantify equivalent leukocytes in BM. Recently,
researchers have applied single colour and multicolour flow cytometry to human milk to iden-
tify a broader range of cells than previously appreciated, including B lymphocytes and T lym-
phocyte subsets in term colostrum, in addition to NK and NK-T cells [26, 27]. Though the
functionality of myeloid-derived cells in milk suggests that these cells may be more differenti-
ated than in blood [28], it is not known with the exception of B lymphocytes [29], whether the
morphologies and frequencies of specific BM leukocyte subsets, only identifiable by flow
cytometry, correspond to those found in blood. We found evidence of additional leukocytes
not previously recognised in milk, including immature granulocytes and myeloid precursors. Further CD45+ cell subsets were not readily identifiable, but could include macrophages,
plasma cells, dendritic cells and others. Additional cell markers such as CD14, CD64,
HLA-DR, CD86 and CD11c for macrophage and dendritic cells [30], CD138 for plasma cells
[31] and selection of combinations of other markers of haematopoietic progenitor cells such as
CD34, CD38, CD135 and CD10 could be used for granulomonocytic and other precursor pop-
ulations [32], but will need to be validated for flow cytometry in future BM research, particu-
larly for low or negative CD45-staining cells, where immature leukocytes and rare leukocyte
types in blood have potential to be misidentified [33]. Using a multicolour flow cytometry panel validated to identify CD45+ leukocyte subsets in
human blood [13], we were able to identify and quantify equivalent leukocytes in BM. Recently,
researchers have applied single colour and multicolour flow cytometry to human milk to iden-
tify a broader range of cells than previously appreciated, including B lymphocytes and T lym-
phocyte subsets in term colostrum, in addition to NK and NK-T cells [26, 27]. Though the
functionality of myeloid-derived cells in milk suggests that these cells may be more differenti-
ated than in blood [28], it is not known with the exception of B lymphocytes [29], whether the
morphologies and frequencies of specific BM leukocyte subsets, only identifiable by flow
cytometry, correspond to those found in blood. We found evidence of additional leukocytes
not previously recognised in milk, including immature granulocytes and myeloid precursors. Discussion This study aimed to characterise leukocytes (CD45+) in human preterm and term BM during
the first month of life using a flow cytometry-based, extended differential leukocyte counting
method. We successfully identified leukocytes in BM at all stages of lactation examined using
the leukocyte gating panel described by Faucher et al. [13]. The majority of CD45+ cells in BM
showed a similar phenotype to blood cells, though differences in the frequencies of leukocyte
subsets and other non-circulating cell populations were observed compared to blood. There
were no differences in total leukocyte concentrations between the GA groups, whereas some
differences were found in specific leukocyte subset concentrations and frequencies between GA
groups. As lactation progressed, the concentration of total leukocytes in BM decreased. We did
not observe significant changes in the concentration of total leukocytes in BM of mothers with
clinical infections, though minor alterations to leukocyte subset frequencies were observed dur-
ing maternal infections. 11 / 17 PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 Leukocytes in Preterm Milk Traditionally, BM leukocytes have been identified using blood smear stains and cytology,
and leukocyte populations were reported to be composed mainly of macrophages, neutrophils,
T lymphocytes, B lymphocytes, and monocytes [23]. However, visual identification can result
in misidentification and overestimation of BM leukocyte concentration, whereas multicolour
flow cytometry provides superior identification and quantification of leukocytes [23]. We
found a clear and consistent relationship in cell concentrations when directly comparing both
methods, though non-leukocyte cells are clearly also present in BM. Despite the benefits of flow cytometry, there are limitations. The use of appropriate controls
and cytometer settings are critical to reduce the likelihood of misidentification of cells [21, 24,
25]. We selected a biological control (blood) to set the cut-off for positive CD45 staining and
this is the major source of potential error, since this is the only gate with a single criterion for
cell selection. We did not perform FMO controls for each milk sample, instead an indication of
the background staining was taken from three milk and one blood control tested (<1.7% in all
cases), though the proportion of background staining could have been greater in individual
milk samples. Reassuringly, the majority of cells that we identified as CD45+ were subsequently
gated into specific leukocyte populations. In future studies, additional biological controls for
gating positive populations may be used in combination with sample-specific controls. PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 Discussion Further CD45+ cell subsets were not readily identifiable, but could include macrophages,
plasma cells, dendritic cells and others. Additional cell markers such as CD14, CD64, HLA-DR, CD86 and CD11c for macrophage and dendritic cells [30], CD138 for plasma cells
[31] and selection of combinations of other markers of haematopoietic progenitor cells such as
CD34, CD38, CD135 and CD10 could be used for granulomonocytic and other precursor pop-
ulations [32], but will need to be validated for flow cytometry in future BM research, particu-
larly for low or negative CD45-staining cells, where immature leukocytes and rare leukocyte
types in blood have potential to be misidentified [33]. We found a clear inverse relationship between maturational stage of the BM and the con-
centration of leukocytes. Despite temporal changes to cell numbers, substantial (103–106 cells/
mL) leukocyte numbers were universally present at all sampling time points, with inter-indi-
vidual variability. Recent studies have reported a significant association between increased
numbers of leukocytes in BM and infections of both the mother and the infant [27, 34]. The
high number of leukocytes found in the current study across all GA groups may relate to a cur-
rent illness of either the mother or her infant that was not identified and/or reported, and
therefore was not accounted for, or it could also be related to methodological differences
between studies in how leukocytes were identified. Importantly, we noted much lower frequen-
cies of neutrophils and monocytes than previously reported (median 12.4% neutrophils and
3.7% monocytes in this study, compared to 28–48.8% and 40.8–61% of colostrum leukocytes,
respectively) [26, 35]. This is possibly due to similarities in visual appearance of other cell
types, indistinguishable by microscopy. The employment of flow cytometry-based methods
combined with bead count methods in a single platform may significantly expand the ability to PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 12 / 17 Leukocytes in Preterm Milk describe and improve the accuracy of reporting of BM leukocyte data in the future. One limita-
tion of this work was the necessity to collect BM that had been refrigerated prior to processing,
which resulted in inclusion of low numbers of non-viable cells. However, this was done to
avoid further burden on the donors, particularly mothers of extremely preterm infants. Future
work could include a viability marker to directly assess for non-viable cells. Discussion In addition, we can-
not account for any potential effects that different methods of breast milk expression might
have had on the measurements made in the milk, as data were not collected about the method
used for each sample. It has previously been reported that moderately preterm mothers’ BM contains higher con-
centrations of leukocytes compared to term mothers [12, 36]. In contrast, Goldman et al. reported that the concentrations of leukocytes were lower in preterm BM [37], whereas Rodri-
guez et al. found leukocyte numbers were not different between preterm and term mothers
[38]. We did not observe significant effects of preterm birth on concentration of leukocytes at
any stage of lactation, but we did find a negative correlation between the frequency of B lym-
phocytes and non-cytotoxic T lymphocytes with gestation in colostrum. We also found a posi-
tive correlation between the frequency of neutrophils and gestation in transitional milk. These
findings may reflect altered immune activation status or increased expression of proliferation
or chemotactic factors for certain cell types in the mammary gland of mothers of preterm
infants, and merit further investigation. Previous studies did not include mothers of extremely
preterm infants or use specific staining methods to quantify total leukocytes; therefore, the pos-
sibility of comparison to this work is limited, particularly considering that our method does
not identify macrophages. Our sampling period for colostrum was typically on day 4 postna-
tally, and we may have missed the changes observed in other studies between days 1–3. Research by other groups suggests that the functionality of preterm colostrum leukocytes
(e.g. bacterial phagocytosis and killing as well as cellular proliferation) appears similar to term
BM [38, 39]. Therefore, this study suggests that the increased risk of infection in preterm
infants is not associated with deficiencies in leukocyte concentration or activity in fresh unpro-
cessed preterm BM, nor deficiencies in milk antimicrobial proteins and peptides [40]. How-
ever, preterm infants often receive low volumes of human BM (typically refrigerated) or they
are given pasteurised donor human milk (PDHM) with inactivated leukocytes [41]. BM-
derived leukocytes may aid in protecting infants from infection through normal protective
functions such as phagocytosis and production of antimicrobial peptides, and have been found
in the peripheral circulation and distant tissues of animal models after ingestion [10, 42], with
observed effects on blood leukocyte populations in both animal and human studies [43–46]. PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 Supporting Information S1 Fig. Preliminary gates of the flow cytometry method. Gates were used to select and
exclude Trucount beads (1), remove doublets (2), and exclude non-cellular material and bacte-
ria (3), respectively. (TIFF) S1 File. Table A in S1 File. Leukocyte subset frequencies in milk collection across the first
month of lactation. Median [interquartile range] values of relative frequencies of leukocyte
subsets detected using flow cytometry in preterm and term mother groups in colostrum, transi-
tional milk and mature milk Symbol a with bolded text denotes significantly different compari-
son in Kruskal Wallis test comparing gestational age groups after adjusting for multiple
comparisons. EP = extremely preterm, VP = very preterm, MP = moderately preterm. Table B
in S1 File. Prevalence of reported bacterial infections in milk donors during the sample col-
lection period. Abbreviations: URTI = upper respiratory tract infection; UTI = urinary tract
infection. Infections around the time of colostrum were reported in medical records, after hos-
pital discharge, infections were self-reported (most transitional and mature milk collections). (DOCX) Acknowledgments The authors are thankful for the assistance of the King Edward Memorial Hospital nursing and
neonatal unit staff, and would like to acknowledge the generosity of the study participants who
have given their time and donated milk to this research. We would also like to acknowledge the
work of Amy Prosser, who optimised the flow cytometry method for use in our laboratory. Discussion However, it is unlikely that low consumption of leukocytes, independent of the many other
protective functions of the soluble molecules in milk, is responsible for the increased infection
risk in preterm infants fed PDHM and those consuming low BM volumes [1, 47]. Contrary to previous reports of increased leukocyte concentrations in BM in maternal or
infant infections [27, 34], we did not observe significant increases in absolute leukocyte con-
centration during infections in our study. However, sensitivity for detecting differences was
limited (below 2-fold in colostrum and below 3-fold in other samples) by the small number of
infected mothers. Moreover, the presence of non-reported infections in this population cannot
be excluded. Significantly, the majority of donors were taking at least one medication, such as
antibiotics, analgesics or anti-inflammatory drugs at one point during the study. This study
was not powered to assess possible effects of medications on leukocytes. Overall, our data sug-
gest that cellular composition of BM is affected by stage of lactation. This is the first study to comprehensively identify and characterise immune cell subsets in
preterm BM by flow cytometry. Despite the technological advances of multicolour flow cytom-
etry, the progress of characterisation of BM leukocytes has been relatively neglected compared PLOS ONE | DOI:10.1371/journal.pone.0135580
August 19, 2015 13 / 17 Leukocytes in Preterm Milk to blood. The characterisation of the cellular concentrations and their function in BM is critical
to understand how BM protects the infant and/or mammary gland from infections. Fresh pre-
term BM is not deficient in leukocytes and infants receiving lower doses of BM, frozen or pas-
teurised human BM may be disadvantaged. This work demonstrates that BM contains a
greater variety and complexity of leukocyte subsets than previously appreciated. Author Contributions Conceived and designed the experiments: ST TS AC KS PR EJ FK. Performed the experiments:
ST. Analyzed the data: ST. Contributed reagents/materials/analysis tools: ML CK FK AC. Conceived and designed the experiments: ST TS AC KS PR EJ FK. Performed the experiments:
ST. Analyzed the data: ST. Contributed reagents/materials/analysis tools: ML CK FK AC. Wrote the paper: ST TS AC. Recruited study participants: ST ML CK. Editing and reviewing y
g
y
Wrote the paper: ST TS AC. Recruited study participants: ST ML CK. Editing and reviewing
manuscript: EJ ML CK PR DD KS FK TS AC. y
g
y
Wrote the paper: ST TS AC. Recruited study participants: ST ML CK. Editing and reviewing
manuscript: EJ ML CK PR DD KS FK TS AC. PLOS ONE | DOI:10.1371/journal.pone.0135580
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Surgeon Estimations of Acetabular Cup Orientation Using Intraoperative Fluoroscopic Imagining Are Unreliable
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Arthroplasty today
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3-7-2023 Parker L Brush
Thomas Jefferson University Thomas Jefferson University
Thomas Jefferson University
Jefferson Digital Commons
Jefferson Digital Commons Thomas Jefferson University
Thomas Jefferson University
Jefferson Digital Commons
Jefferson Digital Commons Rothman Institute Faculty Papers Authors
Authors
Parker L Brush, Adrian Santana, Gregory R Toci, Eric Slotkin, Michael Solomon, Tristan Jones, and Arjun
Saxena sh, Adrian Santana, Gregory R Toci, Eric Slotkin, Michael Solomon, Tristan Jones, and Arjun This article is available at Jefferson Digital Commons: https://jdc.jefferson.edu/rothman_institute/20 a b s t r a c t Article history:
Received 9 September 2022
Received in revised form
12 December 2022
Accepted 22 January 2023
Available online xxx
Keywords:
Total hip arthroplasty
direct anterior approach
intraoperative fluoroscopy
acetabular anteversion
acetabular inclination Background: Accurate acetabular cup orientation is associated with decreased revision rates and
improved outcomes of primary total hip arthroplasty. This study assesses surgeon’s ability to estimate
both the acetabular component inclination and anteversion angles via intraoperative fluoroscopy (IF)
images. Article history:
Received 9 September 2022
Received in revised form
12 December 2022
Accepted 22 January 2023
Available online xxx g
Methods: We surveyed orthopedic surgeons to estimate acetabular component inclination and ante-
version based on 20 IF images of total hip arthroplasty through a direct anterior approach. Postoperative
computed-tomography scans were used to calculate the true inclination and anteversion component
angles. The absolute difference between the true and estimated values was calculated to determine the
mean and standard deviation of the survey results. Interrater reliability was determined through
interclass correlation coefficients. Keywords:
Total hip arthroplasty
direct anterior approach
intraoperative fluoroscopy
acetabular anteversion
acetabular inclination Results: A majority of surgeons preferred the direct anterior approach (83.3%) and utilized IF during
surgery (70%). Surgeons surveyed were on average 5.9 away from the true value of inclination (standard
deviation ¼ 4.7) and 8.8 away from the true value of anteversion (standard deviation ¼ 6.0). Re-
spondents were within 5 of both inclination and anteversion in 19.7% of cases, and within 10 in 57.3% of
cases. All surgeons were determined to have poor reliability in estimating anteversion (interclass cor-
relation coefficient < 0.5). Only 2 surgeons were determined to have moderate reliability when esti-
mating inclination. g
Conclusions: Surgeons, when solely relying on IF for the estimation of anteversion and inclination, are
unreliable. Utilization of other techniques in conjunction with IF would improve observer reliability. Conclusions: Surgeons, when solely relying on IF for the estimation of anteversion and inclination, are
unreliable. Utilization of other techniques in conjunction with IF would improve observer reliability. © 2023 The Authors. Published by Elsevier Inc. on behalf of The American Association of Hip and Knee
Surgeons. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/ © 2023 The Authors. Published by Elsevier Inc. on behalf of The American Association of Hip and Knee
Surgeons. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/
4.0/). Contents lists available at ScienceDirect Contents lists available at ScienceDirect Surgeon Estimations of Acetabular Cup Orientation Using
Intraoperative Fluoroscopic Imagining Are Unreliable a Rothman Orthopaedic Institute at Thomas Jefferson University, Philadelphia, PA, USA
b Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
c Orthopaedic Associates of Reading, Tower Health, Reading Hopsital, West Reading, PA, USA
d Sydney Orthopaedic Specialists, Prince of Wales Private Hospital, Randwick, Australia
e Corin Group, Cirencester, Gloucestershire, UK Recommended Citation
Recommended Citation Brush, Parker L; Santana, Adrian; Toci, Gregory R; Slotkin, Eric; Solomon, Michael; Jones, Tristan; and
Saxena, Arjun, "Surgeon Estimations of Acetabular Cup Orientation Using Intraoperative Fluoroscopic
Imagining Are Unreliable." (2023). Rothman Institute Faculty Papers. Paper 202. https://jdc.jefferson.edu/rothman_institute/202 This Article is brought to you for free and open access by the Jefferson Digital Commons. The Jefferson Digital
Commons is a service of Thomas Jefferson University's Center for Teaching and Learning (CTL). The Commons is
a showcase for Jefferson books and journals, peer-reviewed scholarly publications, unique historical collections
from the University archives, and teaching tools. The Jefferson Digital Commons allows researchers and interested
readers anywhere in the world to learn about and keep up to date with Jefferson scholarship. This article has been
accepted for inclusion in Rothman Institute Faculty Papers by an authorized administrator of the Jefferson Digital
Commons. For more information, please contact: JeffersonDigitalCommons@jefferson.edu. Arthroplasty Today 20 (2023) 101109 * Corresponding author. Rothman Orthopaedic Institute, 925 Chestnut Street,
Philadelphia, PA, USA. Tel.: þ1 316 993 3876.
E-mail address: brushparker@gmail.com commonly use IF to assist in bone preparation, component position,
and intraoperative leg-length measurements [19]. Given the
importance of component positioning in THA and the reliance on IF,
* Corresponding author. Rothman Orthopaedic Institute, 925 Chestnut Street,
Philadelphia, PA, USA. Tel.: þ1 316 993 3876.
E-mail address: brushparker@gmail.com
https://doi.org/10.1016/j.artd.2023.101109
2352-3441/© 2023 The Authors. Published by Elsevier Inc. on behalf of The American Association of Hip and Knee Surgeons. This is an open access article under the CC BY
license (http://creativecommons.org/licenses/by/4.0/). by Elsevier Inc. on behalf of The American Association of Hip and Knee Surgeons. This is an open access article under the CC BY
es/by/4.0/). https://doi.org/10.1016/j.artd.2023.101109
2352-3441/© 2023 The Authors. Published by Elsevier Inc. on behalf of The American Association of Hip and Knee Surgeons. This is an open access article under the CC BY
license (http://creativecommons.org/licenses/by/4.0/). Introduction from <5% to 12.9% at 10 years, with aseptic loosening and dislo-
cation as the most common reasons for revision [5e10]. However,
meta-analyses report lower rates of dislocation with the DAA
[11,12]. Other
studies
have
identified
associations
between
improper component positioning and resultant increases in leg-
length discrepancy, impingement, imbalanced stress distribution,
and dislocations [13e16]. In order to improve outcomes, re-
searchers have suggested that the use of intraoperative fluoroscopy
(IF) for the DAA has helped to improve acetabular cup orientation;
however, surgeons must take measures to limit the impact of pelvic
tilt on intraoperative measurements [17,18]. Regardless, surgeons
commonly use IF to assist in bone preparation, component position,
and intraoperative leg-length measurements [19]. Given the
importance of component positioning in THA and the reliance on IF, Total hip arthroplasty (THA) is one of the most commonly per-
formed orthopedic procedures with an estimated 572,000 primary
THAs expected to be performed in 2030 [1,2]. Surgeons are per-
forming more THAs through the direct anterior approach (DAA),
with more than 50% of surgeons utilizing the approach [3,4]. One of
the most important outcome measures in arthroplasty surgery is
revision rate [5]. Authors have reported revisions rates for THA P.L. Brush et al. / Arthroplasty Today 20 (2023) 101109 2 Question 1: How long have you been in practice? we set out to answer if (1) surgeons are reliable in assessing
acetabular orientation based on IF and (2) how often are surgeon
estimations off by 5, 10, and 20. Our hypothesis is that visual
inspection of IF is inadequate in estimating acetabular component
positioning. we set out to answer if (1) surgeons are reliable in assessing
acetabular orientation based on IF and (2) how often are surgeon
estimations off by 5, 10, and 20. Our hypothesis is that visual
inspection of IF is inadequate in estimating acetabular component
positioning. Question 4: Do you routinely use intraoperative imaging when doing a hip replacement? Figure 2. List of the general questions included in the survey. We calculated absolute differences for each inclination and
anteversion response by taking the absolute value of the difference
between the true value determined by postoperative CT scans and
the responses in the survey. The responses were analyzed by 2
methods: (1) The surgeon’s responses to each image were consid-
ered separately, and (2) the surgeon’s responses to the image set
were averaged together. To account for nonresponse bias, an
additional analysis between early and late responders was per-
formed under the assumption that late responders are most similar
to nonresponders [20]. An independent statistician performed the statistical analysis
using R Studio (Version 4.1.2, Vienna, Austria). They analyzed the
survey data by intraclass correlation coefficients (ICC) to evaluate
for interrater reliability of responses compared to true values. ICC
values less than 0.5 indicate weak agreement, values from 0.5 to
less than 0.7 indicate moderate agreement, and values greater than
or equal to 0.7 indicate strong agreement with the true values. Each
survey respondent has an ICC value associated with their inclina-
tion and anteversion responses. Results We received 34 responses to the survey for a response rate of
approximately 38%. Four responses were removed as they were
incomplete. All complete responses were included in the final
analysis. THA, total hip arthroplasty.
a Some responses included multiple answers. Table 1 Table 1
Responses to survey questions 1 through 5. Responses to survey questions 1 through 5. Full cohort
N ¼ 30
Length of practice
<5 y
11 (36.7%)
5-15 y
13 (43.3%)
15-25 y
4 (13.3%)
>25 y
2 (6.67%)
THA per year
<50
3 (10.0%)
50-100
4 (13.3%)
100-200
14 (46.7%)
>200
9 (30.0%)
Preferred approach
Direct anterior
25 (83.3%)a
Posterolateral
6 (20%)a
Anterolateral
1 (3.3%)
Routinely use intraoperative imaging
No
9 (30.0%)
Yes
21 (70.0%)
Routinely use technology
Digital preoperative planning
21 (70%)
Patient-specific instrumentation
2 (6.7%)
Imageless navigation
3 (10%)
Image-based navigation
4 (13.3%)
Intraoperative imaging with digital measurements
1 (3.3%)
Other
3 (10%) Figure 1. Example intraoperative fluoroscopic image used in the survey. THA, total hip arthroplasty. Material and methods Question 5: Do you routinely use technology when doing a hip replacement? We retrospectively identified 30 patients who underwent pri-
mary THA by a DAA from 2 surgeons with both IF and a post-
operative computed-tomography (CT) scan on record. Patients who
had incomplete image data, received a revision THA, or a THA
through an approach other than direct anterior were excluded. We
used the Simpleware ScanIP (Synopsis, Mountain View, CA) soft-
ware to extract anatomical landmarks from postoperative CT scans
and the Solidworks (Dassault Systemes, France) software to
compute values for the true inclination and anteversion of
the acetabular component. The Corin Group (Cirencester, UK)
constructed a survey in coordination with the authors of the
manuscript consisting of 5 general questions and 20 blinded,
anterior-posterior IF images in which the participants were
requested to estimate the acetabular component inclination and
anteversion. This estimation was performed by visual inspection of
the fluoroscopic images in order to simulate the operative envi-
ronment, no assist tools were allowed to be used, and no practice
images were provided. Figure 1 contains an example of one of the IF
images used in the survey, and Supplemental Figures 1 and 2
contain the corresponding inclination and anteversion measure-
ments performed on the 3D pelvis reconstruction, respectively. We
removed 10 patients from the survey at random to increase the
response rate and ease the time burden required to complete the
survey. Figure 2 contains the 5 general questions included in the
survey, and Table 1 includes the categorical options provided as
answers. We sent the survey on 1 occasion to 89 surgeons in 3
different hospital systems with a combination of fellowship-trained
arthroplasty
surgeons,
arthroplasty
fellows
in
training,
and
postgraduate-year-four and postgraduate-year-five residents. The
survey was sent broadly to all the senior authors’ contacts to
maximize the potential responses. The surgeons’ responses were
collected between July 2021 and January 2022. Figure 2. List of the general questions included in the survey. a Some responses included multiple answers. Table 3 Table 1 contains the categorical responses to survey questions 1
through 5. We found most participants preferred the DAA (83.3%),
routinely used IF (70%), and routinely used a preoperative planning
system (66.7%). Two of the participants reported that they prefer
the direct anterior and posterolateral approaches equally. Three
survey participants wrote in answers for “other” use of technology. Their responses were (2) optimized positioning system and (1)
digital
preoperative
planning
combined
with
conventional
instruments. Individual response anteversion
Range
0-39
Mean
8.8
Median
9.0
SD
6.0
Surgeon average anteversion
Range
6.0-15.6
Mean
8.8
Median
8.0
SD
2.4
SD, standard deviation. Tables 2 and 3 contain descriptive statistics for the cumulative
inclination and anteversion survey values with an analysis per-
formed at both the individual response and surgeon average level. We based all descriptive statistics on the absolute differences. On
average, surgeons were 5.9 away from the true value for inclina-
tion and 8.8 away from the true value for anteversion with stan-
dard deviations of 4.7 and 6.0 at the individual response level and
1.7 and 2.4 at the surgeon average level, respectively. Our survey
responses ranged from 0 to 39 for inclination and 0 to 29 for
anteversion by absolute difference. We identified 118 (19.7%)
responses within 5 of both the true anteversion and inclination,
and 344 (57.3%) of responses within 10. Out of the 600 data points,
28 (4.7%) surgeons were off by 20 or greater for anteversion, and
8 (1.3%) were off by 20 or greater for inclination, with a total of
32 (5.3%) patients with either an anteversion or inclination esti-
mation off by 20 or more. This value was chosen based on the
historical safe zone of component position [21]. preferred the DAA with IF in our population. Moreover, approxi-
mately two-thirds of the surveyed surgeons routinely used digital
preoperative planning systems, which has been shown to decrease
time under fluoroscopy, especially when pelvic tilt is calculated
[12]. Our primary finding is that all surgeons had poor agreement
with the true values of component anteversion, while all but
2 surgeons had poor agreement with the true values of component
inclination determined by the analysis of postoperative CT scans. These data indicate that the surgeons surveyed were not reliable in
their determination of both component inclination and anteversion
through IF images. This finding is supported by the previous work
of Holst et al. Table 4 Table 4
ICC values for each participant. Survey participant
Inclination
Anteversion
1
0.06
0.04
2
0.38
0.05
3
0.34
0.02
4
0.28
0.09
5
0.26
0.10
6
0.00
0.22
7
0.14
0.19
8
0.25
0.02
9
0.38
0.07
10
0.27
0.18
11
0.21
0.02
12
0.07
0.05
13
0.13
0.06
14
0.01
0.22
17
0.28
0.03
18
0.67a
0.17
19
0.12
0.11
20
0.01
0.11
21
0.19
0.30
22
0.53a
0.20
23
0.13
0.09
24
0.16
0.16
25
0.27
0.31
28
0.31
0.11
29
0.10
0.07
30
0.11
0.08
31
0.16
0.10
32
0.36
0.04
33
0.29
0.02
34
0.19
0.17
ICC, interclass correlation coefficient. ICC values for each participant. Table 5 contains the analysis of the initial 5 (16.7%) and final 5
(16.7%) participants. These data show similar responses between
the initial and final 5 participants by absolute inclination (6.3 vs 5.5,
P ¼ .511) and absolute anteversion (9.6 vs 8.7, P ¼ .581). Table 3 who found that IF did not improve acetabular cup
positioning or sizing when employing the DAA and differs from the
work by James et al. who suggest that IF can help confirm
component positioning if used properly [12,18]. Although no sta-
tistical measure interprets a correlation between the baseline
characteristics we obtained and ICC values, we were unable to
identify any associations between improved component orienta-
tion estimation and surgeon length of practice or total surgeries Table 4 contains the ICC values for each participant with regard
to inclination and anteversion estimations. We removed partici-
pants 15, 16, 26, and 27 for incomplete responses. All surgeons had
a weak agreement with the true values for component anteversion. Two surgeons had a moderate agreement with the true values with
regard to component inclination, participants 18 and 22. These
participants were in practice between 5 to 15 and less than 5 years,
performed 100 to 200 and less than 50 THAs per year, respectively,
routinely used intraoperative imaging, and used digital preopera-
tive planning systems. The remainder of surgeons had a weak
agreement with regard to component inclination. We found no
surgeons to have strong agreement by ICC values. Given the
consistently low reliability among survey participants, we deter-
mined that increasing our sample size would not likely impact the
results of this study, and the survey was closed. Discussion This survey includes the responses of 34 surgeons that were
asked to evaluate the acetabular cup orientation of 20 patients who
underwent THA by DAA. We found most surgeons utilized and Table 2
Descriptive statistics for the component inclination by absolute value. Table 2
Descriptive statistics for the component inclination by absolute value. Individual response inclination
Range
0-28
Mean
5.9
Median
5.0
SD
4.7
Surgeon average inclination
Range
3.3-9.1
Mean
5.9
Median
5.7
SD
1.7
SD, standard deviation. 21
0.19
0.30
22
0.53a
0.20
23
0.13
0.09
24
0.16
0.16
25
0.27
0.31
28
0.31
0.11
29
0.10
0.07
30
0.11
0.08
31
0.16
0.10
32
0.36
0.04
33
0.29
0.02
34
0.19
0.17
ICC, interclass correlation coefficient. a Moderate agreement with the true values. a Moderate agreement with the true values. Full cohort Figure 1. Example intraoperative fluoroscopic image used in the survey. 3 P.L. Brush et al. / Arthroplasty Today 20 (2023) 101109 Table 3
Descriptive statistics for the component anteversion by absolute value. ICC, interclass correlation coefficient. ICC, interclass correlation coefficient. Table 5
C
i Table 5
Comparisons of initial and final participants. Characteristics
Initial N ¼ 5
Final N ¼ 5
P value
Length of practice
.048
<5 y
0 (0.00%)
2 (40.0%)
5-15 y
5 (100%)
1 (20.0%)
15-25 y
0 (0.00%)
1 (20.0%)
>25 y
0 (0.00%)
1 (20.0%)
THA per year
1.000
50-100
0 (0.00%)
1 (20.0%)
100-200
3 (60.0%)
2 (40.0%)
>200
2 (40.0%)
2 (40.0%)
Intraoperative imaging
.444
No
0 (0.00%)
2 (40.0%)
Yes
5 (100%)
3 (60.0%)
Surgical technology
1.000
No
1 (20.0%)
2 (40.0%)
Yes
4 (80.0%)
3 (60.0%)
Average inclination
6.3 (1.69)
5.5 (2.06)
.511
Average anteversion
9.6 (2.25)
8.7 (2.66)
.581
Average inclination and average anteversion are provided as the average absolute
difference from the true measurement. THA, total hip arthroplasty. Average inclination and average anteversion are provided as the average absolute
difference from the true measurement. THA, total hip arthroplasty. performed per year as almost every surgeon had statistically poor
agreement. Moreover, our data do not suggest an association be-
tween routine use of IF or preoperative planning systems and
improved IF estimation of acetabular orientation. In fact, these ICC
values suggest any 2 physicians chosen randomly who perform
more than 200 THAs per year would vary as much as 2 physicians
chosen randomly from the survey population. Similar comparisons
can be drawn for the other baseline characteristics evaluated in this
survey. y
We chose to evaluate the data by absolute difference so that
surgeon overestimation and underestimation would not have a
counteractive
impact
on
their
averaged
measurement
error. Although average absolute differences were within 5.9 and 8.8 for
inclination and anteversion, respectively, these data showed sig-
nificant variability of estimation by range and standard deviation,
with some surgeons perfectly estimating acetabular inclination
and/or anteversion on 1 image while estimations were off by
greater than 20 on other images. This variability is blunted by
analyzing the surgeons’ average estimations over the 20 survey
images, but such an analysis fails to consider the potential impact
on individual patients. Previous studies have reported component
malposition to be a significant risk factor for early dislocation after
THA, with 60% to 70% of dislocations occurring in the first 6 weeks
after surgery [22,23]. Horberg et al. reported 11 (0.39%) dislocations
at an average of 71 days after THA by a DAA [24]. Table 5
C
i A database review
in 2018 reported dislocation readmission rates of 1.4% at a median
of 40 days after the surgery for elective primary THA [25]. Although
component position is not the only factor associated with disloca-
tion, combined anteversion (acetabular plus femoral) outside of 40
to 60 has been shown to increase dislocation by an odds ratio of
6.9 [26]. Our data suggest that by IF estimation alone, 4.7% of pa-
tients have acetabular anteversion 20 or more off the true value
and would thus be at significantly higher risk of dislocation. In
addition to impacting dislocation rates, acetabular component
positioning also affects revision rates [27e29]. Dislocation and
revision lead to increased health-care costs and patient morbidity
and stress [30]. The historical safe zones are defined as 40 ± 10 of
inclination and 15 ± 10 of anteversion, and these data suggest
surgeons are unreliable when utilizing only IF and should consider
alternate or additional methods to optimize component position
[21]. Our study has many strengths, most notably its survey design. It
is known that a poorly designed survey, without prior planning,
could lead to inaccurate and misleading conclusions. Sprague et al. discussed the importance of survey design in ensuring maximum
response rates from orthopedic surgeons [11]. Our survey utilized
11 of the 12 points that were presented in their article, missing only
in that we did not evaluate the characteristics of nonresponders
[11]. While our study has these strengths, we do recognize the
limitations of this work. The participating surgeons were presented
with 20 IF images and asked to analyze them, even though they had
no hand in the production of those images. It is possible that each
surgeon’s accuracy would increase if they were visualizing the case
intraoperatively in addition to taking and viewing fluoroscopic
images. This study also does not attempt to correlate surgeon ac-
curacy with clinical outcomes and is descriptive by nature of its
design. We do not correlate a surgeon’s ability to estimate
component position on IF to dislocation or revision rates. Moreover,
our sample size is small, and the participants are all located in a
similar geographical location. We have significant risk of nonre-
sponse bias, with a response rate of only 38%, well below the
generally preferred rate of 60% [20]. However, we took measures to
account for this by comparing early and late responders [20,38,39]. Table 2 P.L. Brush et al. / Arthroplasty Today 20 (2023) 101109 4 accurate placement and positioning of the acetabulum cup. Using
this technology, Tsutsui et al. report that for both inclination and
anteversion, 97.7% of the acetabular placements were within the
combined target zone (30e45 of inclination and 5e25 of
anteversion) compared to 61.3% of patients without navigation. As a
result, this technology allows surgeons to achieve high accuracy of
both cup alignment angles and positioning [31]. In addition to CT-
based navigation, surgeons have several other options to achieve
optimal component anteversion and inclination. One of which is
the use of a mechanical insertion jig to assist in the alignment and
positioning of the acetabular cup [28]. With advances in technol-
ogy, it is now possible for patient-specific insertion jigs to be 3D
printed, thus allowing for the angles of anteversion and inclination
to be well within the safe zones in a cheap, effective manner
[32,33]. Imageless navigation also presents surgeons with an
adequate alternative to IF. Nogler et al. report that with the use of
imageless navigation, there is significant reduction in the median
absolute difference of inclination (1.3 to 5.8) and anteversion
(2.4 to 9.9) when compared to component placement with visual
cues alone [34]. Other studies report these navigation systems can
be more difficult to place in larger patients. The impact of this
difficulty appears to have a significant effect on acetabular ante-
version, while inclination values remain more consistent [35]. Lastly, there is a trend toward increasing robotic assistance with
many types of surgery, including orthopedics. Redmond et al. report that as surgeons increase their experience with robotic
assistance for THA, procedure time decreases [36]. They also report
that regardless of experience level, acetabular components are well
placed with a 95% confidence interval of 8 [36]. Despite the
learning curve for optimal robot-assisted THA, there is immediate
and significant improvement in acetabular cup positioning when
compared to IF. This contrasts the learning curve of IF, which does
not demonstrate an immediate improvement, requiring the sur-
geon to gain experience before significant enhancement of preci-
sion is seen [29]. Additionally, Domb et al. found that 100% of robot-
assisted THAs were within the safe zones for both inclination and
anteversion, as described by Lewinnek et al. Table 2 [21,37] All these
methods provide good alternatives or additions to the use of IF to
improve acetabular cup positioning with the DAA for THA. It is
important to note that the use IF does minimize the variability in
anteversion and inclination, but our data suggest this method re-
mains unreliable [18]. Conflicts of interest [14] Kluess D, Martin H, Mittelmeier W, Schmitz KP, Bader R. Influence of femoral
head size on impingement, dislocation and stress distribution in total hip
replacement. Med
Eng
Phys
2007;29:465e71. https://doi.org/10.1016/
j.medengphy.2006.07.001. Dr. A. Saxena is in the speakers' bureau of or gave paid pre-
sentations for Corin; is a paid consultant for Corin; and is a member
of the Patient and Public Relations Committee of American Asso-
ciation of Hip and Knee Surgeons, Telecommunications Committee
of Eastern Orthopaedic Association, Pennsylvania Orthopaedic So-
ciety, and Web-Based Longitudinal Assessment and Hip Program
Committees of the American Academy of Orthopaedic Surgeons. Dr. E. M. Slotkin receives royalties from Corin; is in the speakers' bu-
reau of or gave paid presentations for Corin, Naviswiss, Phillips, and
RomTech; is a paid consultant for Corin, Naviswiss, Phillips, DePuy,
and RomTech; is an unpaid consultant for Efferent Health; and has
stock or stock options with Naviswiss, RomTech, and Efferent
Health. Dr. M. Solomon receives royalties from Corin UK and
Medacta; is in the speakers' bureau of or gave paid presentations
for Corin; is a paid consultant for Corin; and receives other financial
or material support from Corin. T. Jones is a paid employee of the
Corin Group. All other authors declare no potential conflicts of
interest. [15] Yoshimine F. The safe-zones for combined cup and neck anteversions that
fulfill the essential range of motion and their optimum combination in total
hip replacements. J Biomech 2006;39:1315e23. https://doi.org/10.1016/
j.jbiomech.2005.03.008. [16] Barrack RL. Dislocation after total hip arthroplasty: implant design and
orientation. J Am Acad Orthop Surg 2003;11:89e99. https://doi.org/10.5435/
00124635-200303000-00003. [17] Rathod PA, Bhalla S, Deshmukh AJ, Rodriguez JA. Does fluoroscopy with
anterior hip arthroplasty decrease acetabular cup variability compared with a
nonguided posterior approach? Clin Orthop 2014;472:1877e85. https://
doi.org/10.1007/s11999-014-3512-2. [18] James CR, Peterson BE, Crim JR, Cook JL, Crist BD. The use of fluoroscopy
during
direct
anterior
hip
arthroplasty:
powerful
or
misleading? J Arthroplasty 2018;33:1775e9. https://doi.org/10.1016/j.arth.2018.01.040. J
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[19] McArthur BA, Schueler BA, Howe BM, Trousdale RT, Taunton MJ. Radiation expo-
sure during fluoroscopic guideddirectanteriorapproach fortotal hip arthroplasty. J Arthroplasty 2015;30:1565e8. https://doi.org/10.1016/j.arth.2015.03.029. J
p
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[20] Johnson TP, Wislar JS. Response rates and nonresponse errors in surveys. JAMA 2012;307:1805e6. https://doi.org/10.1001/jama.2012.3532. [21] Lewinnek GE, Lewis JL, Tarr R, Compere CL, Zimmerman JR. Dislocations after
total hip-replacement arthroplasties. J Bone Joint Surg Am 1978;60:217e20. For full disclosure statements refer to https://doi.org/10.1016/j. Conflicts of interest artd.2023.101109. [22] Brooks PJ. Dislocation following total hip replacement. Bone Jt J 2013;95-
B(Supple_A):67e9. https://doi.org/10.1302/0301-620X.95B11.32645. [23] Lu Y, Xiao H, Xue F. Causes of and treatment options for dislocation following
total hip arthroplasty. Exp Ther Med 2019;18:1715e22. https://doi.org/
10.3892/etm.2019.7733. Acknowledgement [24] Horberg JV, Coobs BR, Jiwanlal AK, Betzle CJ, Capps SG, Moskal JT. Dislocation
rates following total hip arthroplasty via the direct anterior approach in a
consecutive, non-selective cohort. Bone Joint J 2021;103eB(7 Supple B):
38e45. https://doi.org/10.1302/0301-620X.103B7.BJJ-2020-2297.R1. The authors of this article would like to acknowledge the
following contributors for their work on this project: Catherine
Stambouzou, Michael A. Miranda, DO, John L. Wang, MD, and Ste-
ven L. Barnett, MD. They would also like to thank Corin Group,
Cirencester, Gloucestershire, United Kingdom; Florida Orthopedic
Institute, Tampa, FL; Hospital for Special Surgery, West Palm Beach,
FL; and Hoag Orthopedic Institute, Irvine, CA. 38e45. https://doi.org/10.1302/0301-620X.103B7.BJJ-2020-2 [25] Gausden EB, Parhar HS, Popper JE, Sculco PK, Rush BNM. Risk factors for early
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[27] Grammatopoulos G, Alvand A, Monk AP, Mellon S, Pandit H, Rees J, et al. Sur-
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[10] Kelmer G, Stone AH, Turcotte J, King PJ. Reasons for revision: primary total hip
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viously suggested with estimating acetabular cup position with IF. As technology continues to advance in the field of arthroplasty
surgery, adaptation and utilization of these products may continue
to improve success rates of these already highly successful pro-
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[11] Sprague S, Quigley L, Bhandari M. Survey design in orthopaedic surgery:
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C
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also decrease the reliability of our results as responders may find
reviewing 20 images tedious. Lastly, despite historically poor
physician response rates on surveys, there is no validated evalua-
tion tool or method to assess survey quality in orthopedics [40]. j
[8] Nugent M, Young SW, Frampton CM, Hooper GJ. The lifetime risk of revision
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[39] Voigt LF, Koepsell TD, Daling JR. Characteristics of telephone survey re-
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[40] Ekhtiari S, Kay J, de Sa D, Simunovic N, Musahl V, Peterson DC, et al. What
makes a successful survey? A systematic review of surveys used in anterior
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1072e1079.e3. https://doi.org/10.1016/j.arthro.2017.01.032. [36] Redmond
JM,
Gupta
A,
Hammarstedt
JE,
Petrakos
AE,
Finch
NA,
Domb BG. The learning curve associated with robotic-assisted total hip
arthroplasty. J Arthroplasty 2015;30:50e4. https://doi.org/10.1016/j.arth. 2014.08.003. P.L. Brush et al. / Arthroplasty Today 20 (2023) 101109 7 Appendix Appendix Supplemental Figure 1. Example image of how the 3D reconstruction and measuring
software were able to determine acetabular cup inclination. Supplemental Figure 1. Example image of how the 3D reconstruction and measuring
software were able to determine acetabular cup inclination. Supplemental Figure 2. Example image of how the 3D reconstruction and measuring
software were able to determine acetabular cup anteversion. Supplemental Figure 2. Example image of how the 3D reconstruction and measuring
software were able to determine acetabular cup anteversion.
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https://openalex.org/W2163428311
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https://angeo.copernicus.org/articles/22/3291/2004/angeo-22-3291-2004.pdf
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English
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Measurements of atmospheric turbulence with the dual-beamwidth method using the MST radar at Gadanki, India
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Annales geophysicae
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cc-by
| 5,312
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Correspondence to: G. D. Nastrom
(gdnastrom@stcloudstate.edu) Measurements of atmospheric turbulence with the dual-beamwidth
method using the MST radar at Gadanki, India G. D. Nastrom1, P. B. Rao2, and V. Sivakumar3
1St. Cloud State University, St. Cloud, Minnesota 56379, USA
2National Remote Sensing Agency, Hyderabad 500037 AP, India
3Universite de la Reunion, Cassin-97715 St. Denis-C9, France
Received: 29 August 2003 – Revised: 24 February 2004 – Accepted: 3 March 2004 – Published: 23 September 2004 G. D. Nastrom1, P. B. Rao2, and V. Sivakumar3
1St. Cloud State University, St. Cloud, Minnesota 56379, USA
2National Remote Sensing Agency, Hyderabad 500037 AP, India
3Universite de la Reunion, Cassin-97715 St. Denis-C9, France
Received: 29 August 2003 – Revised: 24 February 2004 – Accepted: 3 March 2004 – Part of Special Issue “Equatorial and low latitude aeronomy” Abstract. A brief experiment was conducted during 24–29
April and 9–10 May 2002, using the MST radar at Gadanki,
India, to test the dual-beamwidth method of estimating the
turbulence kinetic energy (TKE). Because the beamwidth
can be modified on only one polarization at a time at
Gadanki, an elliptical beam was used with a modified dual-
beamwidth analysis. Estimates of the TKE from the dual-
beamwidth method and the traditional method are very sim-
ilar in regions of light winds (<∼10 ms−1). In regions
of stronger wind (>∼15 ms−1) the traditional method of-
ten gives TKE<0 because the beam-broadening correction is
greater than the observed spectral width. It is suggested that
some of the problems with the traditional method are due to
the uncertainty in the effective width of the radar beam. In all
regions the modified dual-beamwidth method gives TKE>0
on the beam parallel to the prevailing wind; on this beam the
estimates depend only on the ratio of the beamwidths, which
is presumably well-known, and the observed spectral widths. The values of TKE from the dual-beamwidth method are ap-
proximately constant with height at 0.2 m2s−2 from about 5
to 7.5 km during the afternoon during both April and May
(all April observations were made between 9:00 and 17:00
local time), and then decrease rapidly to about 0.02 m2s−2
by about 9 km. The data from May extend over one full diur-
nal period and the diurnal range of TKE during this period is
found to be about 5 dB below about 12 km and from about 15
to 19 km, near the tropopause, with maximum values during
local afternoon. Annales Geophysicae (2004) 22: 3291–3297
SRef-ID: 1432-0576/ag/2004-22-3291
© European Geosciences Union 2004 Annales Geophysicae (2004) 22: 3291–3297
SRef-ID: 1432-0576/ag/2004-22-3291
© European Geosciences Union 2004 G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method 3292 Fig. 1. (Upper) Zonal and meridional wind speeds for each day, April 2002. The plotted curves are the means of the daily medians for the
two opposing beams in each plane and for 10◦and 15◦zenith angle; the symbols show the maximum and minimum values used for each
mean. (Lower) Daily means of the observed spectral widths at 10◦and 15◦zenith angle. Fig. 1. (Upper) Zonal and meridional wind speeds for each day, April 2002. The plotted curves are the means of the daily medians for the
two opposing beams in each plane and for 10◦and 15◦zenith angle; the symbols show the maximum and minimum values used for each
mean. (Lower) Daily means of the observed spectral widths at 10◦and 15◦zenith angle. average power aperture product of 7×108 Wm2. The antenna
array consists of 1024 crossed 3-element Yagi antennas cov-
ering 130×130 m. Peak transmitted power is 2.5 MW ob-
tained from 32 transmitters, each feeding a sub-array of 32
Yagis. The one-way half-power full beamwidth of the full
antenna is about 2.9◦. to exercise the dual-beamwidth method was conducted us-
ing the MST radar at Gadanki, India, during 24–29 April
2002 and 9–10 May 2002, and the results obtained are de-
scribed in this paper. Atmospheric conditions over Gadanki,
India, are highly repeatable from day-to-day during the pre-
monsoon season. Therefore, even the relatively small data
sample from this brief pilot study should describe the salient
features of the vertical and diurnal variations of TKE for the
pre-monsoon conditions. During this experiment two beamwidths were interleaved. The narrow beamwidth (2.9◦) was obtained using the full
antenna. By disconnecting 16 subarrays from one polariza-
tion of the antenna a rectangular antenna was formed, with
2.9◦beamwidth in one polarization and a second beamwidth,
about 5.8◦, in the other polarization. The ratio of the broad
and narrow beams is about 2. In practice, the outer 8 sub-
arrays on each side of the antenna were disconnected to
form the broad beam. Because the broad beam could be
formed only in one polarization at a time, the resulting beam
was elliptical (5.8◦by 2.9◦) and our application of the dual-
beamwidth method, described below, will account for this
ellipticity. The estimates of TKE from the traditional method and
from a modified dual-beamwidth method are compared in
this study. G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method Because the beamwidth of the Gadanki radar
could be modified in only one polarization at a time, the dual-
beamwidth estimates will be best when the beam is parallel
to the prevailing wind, as explained below. Fortunately, dur-
ing the period used here all of the strong prevailing winds
were nearly parallel to the zonal beam. 1
Introduction The traditional method of estimating atmospheric turbulence
kinetic energy (TKE) from spectral widths requires the appli-
cation of correction factors to the measured spectral widths
due to the interaction of the radar beam with the background
wind (e.g. Atlas, 1964; Hocking, 1985; Nastrom, 1997). While these correction factors are well known in principle,
estimates of them are sometimes larger than the observed
spectral widths (Hocking, 1986; Fukao et al., 1994; Ku-
rusaki et al., 1996; Nastrom and Eaton, 1997; Narayana
Rao et al., 2001; Nastrom and Tsuda, 2001; Satheesan and
Krishna Murthy, 2002), especially during relatively strong
winds, which implies relatively large uncertainty in them or
in the observed spectral widths, since the true corrections
cannot be larger than the observed spectral widths. The dual-beamwidth method for measuring TKE using
spectral widths from Doppler radar was recently introduced
by VanZandt et al. (2002). The dual-beamwidth method em-
ploys the spectral widths measured simultaneously with two
different beamwidths and the ratio of the magnitudes of the
beamwidths is used under the assumption that the TKE is
the same in the sample volumes viewed by both beamwidths. With the dual beamwidth method it is not necessary to have
independent estimates of the correction factors to be used or
to know the actual magnitudes of the beamwidths used. The
uncertainty of the TKE estimates from the dual-beamwidth
method is governed only by the uncertainty of the observed
spectral widths, suggesting that this method may provide a
standard against which to compare estimates made by other
methods. Key words. Meteorology and atmospheric dynamics (in-
struments and techniques; turbulence; general or miscella-
neous) Of course, the dual-beamwidth method can be used only at
a small number of radar sites that have dual-beamwidth ca-
pability. For example, VanZandt et al. (2002) used observa-
tions taken in special experiments at the highly versatile MU
radar in Japan, and Latteck et al. (2003) give results from a
special experiment in Norway. A brief experiment designed G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method 2
Data Our observational strategy included a total of 10 beam
positions each hour for each beamwidth: vertical and to-
ward the 4 cardinal directions for 10◦and 15◦zenith an-
gles. Range-resolution was 150 m from 3.6 to 24.9 km. The
radar settings used were: interpulse period, 1000 µs; number The Gadanki radar is described in detail by others (e.g. Rao
et al., 1995; Jain et al., 2000). Briefly, it is an MST radar
near Tirupati (13.47◦N, 79.18◦E) operating at 53 MHz with G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method 3293 Van Zandt et al. (2002) show that observations of the
same sample volume with two conical beams of different
beamwidth (θa and θb) can be used to solve a pair of simulta-
neous equations to obtain σ 2
t as a function of σ 2
obs−a, σ 2
obs−b,
and the ratio θ2
a /θ2
b , with no need to evaluate Eq. (2) directly. of incoherent integrations, 128; number of coherent integra-
tions, 1; number of Doppler spectral points, 128; resolution
per spectral point, 0.173 ms−1; dwell-time per profile, 19 s. About 7 profiles were taken per hour per beam per zenith an-
gle per beamwidth. A standard Gaussian fitting method was
used to find the Doppler velocity, spectral width, and signal
power from each Doppler spectrum. As discussed by Fukao
et al. (1994), the uncertainties of the Doppler velocity and
spectral width are proportional to the spectral width. Data
from the vertical beam are subject to contamination by spec-
ular echoes and thus are not used in this study. b
The beam of the Gadanki radar is conical when the full an-
tenna is used. When only half of the antenna is used for one
polarization the beam is elliptical, being 5.8◦in the zenith
direction and 2.9◦azimuthally. Accordingly, our analysis is
modified from that of VanZandt et al. (2002). Equation (2)
must be written separately for the two beamwidths as fol-
lows (subscript H applies for the half-antenna and F for the
full-antenna): Observations were made usually from 11:00–17:00 local
time on 24, 25, 26, 27, and 29 April 2002. Another set of
observations were taken over a diurnal cycle from 15:00, 9
May–15:00, 10 May 2002. All observations were subjected
to a rigorous quality control including visual inspection of
the profiles of velocity, signal-to-noise ratio, and spectral
width. 2
Data Finally, hourly medians were formed and are used
for the analyses below. σ 2
obs−H =
σ 2
t +
h
θ2
H
U2 cos2 α + shear
+ θ2
F V 2i. 4 ln 2,
(4)
σ 2
obs−F =
σ 2
t +
h
θ2
F
U2 cos2 α + shear
+ θ2
F V 2i. 4 ln 2,
(5)
where “shear”=−2UuzR cos α sin2 α + (uzR)2 sin4 α. S b
ti
E
(5) f
E
(4) i (4) obs
F
σ 2
t +
h
θ2
F
U2 cos2 α + shear
+ θ2
F V 2i. 4 ln 2,
(5) Local weather conditions during late April and early May
2002 were very hot, with daily maximum temperatures near
40◦C every day (the Sun is directly overhead at noon at this
latitude in late April). Surface winds were generally light and
variable. Scattered cumulus and towering cumulus formed in
the afternoon, although no significant precipitation occurred
at the radar site. where “shear”=−2UuzR cos α sin2 α + (uzR)2 sin4 α. Subracting Eq. (5) from Eq. (4) gives where “shear”=−2UuzR cos α sin2 α + (uzR)2 sin4 α. Subracting Eq. (5) from Eq. (4) gives U2 cos2 α + shear = 4 ln 2
"
σ 2
obs−H −σ 2
obs−F
θ2
H
θ2
F
−1
#
. (6) (6) Using Eq. (6) in Eq. (4) gives σ 2
t =
θ2
H
θ2
F
σ 2
obs−F −σ 2
obs−H
θ2
H
θ2
F
−1
−θ2
F V 2
4 ln 2 . (7) 3
Method of analysis Following Nastrom (1997),
σ 2
beam+shear can be approximated as σ 2
beam+shear =
θ2
4 ln 2
h
U2 cos2 α + V 2
−2UuzR cos α sin2 α + (uzR)2 sin4 α
i
,
(2) σ 2
beam+shear =
θ2
4 ln 2
h
U2 cos2 α + V 2 −2UuzR cos α sin2 α + (uzR)2 sin4 α
i
,
(2) (2) where U and V are the horizontal wind components paral-
lel and perpendicular to the beam, θ is the one-way half-
power half-width of the beam, α is the beam zenith angle,
uz=dU/dz, and R is the range to the center of the sample vol-
ume. Terms of order θ4 and (1R/R)2 are neglected, where
1R is the range resolution, a trigonometric identity has been
used to obtain sin4α, and the vertical component of wind is
ignored. In the “traditional method” estimates of σ 2
t are ob-
tained from Eq. (1) after using the radar observations of wind
to compute the right side of Eq. (2), i.e. 3
Method of analysis (7) The observed spectral width (σ 2
obs) represents the sum of the
TKE per unit mass (σ 2
t ) and the effects of beam-, shear-, and
wave-broadening The first term on the right of Eq. (7) depends only on the
observed spectral widths and the ratio of beamwidths. The
second term on the right of Eq. (7) requires that we know θF ,
as well as V . In principle, the width of the transmitted beam
is known and that value of θF should be used whenever the
sample volume is uniformly filled with turbulence. When the
sample volume is not filled, such as when one or more thin
horizontal layers of intense turbulence are present, then the
appropriate value for θF depends on the amount of beamfill-
ing, and perhaps other things, and becomes uncertain (e.g. if
only a single intense layer is present in the sample volume,
then the effective beamwidth is less than θF and its value de-
pends on the location of the intense layer within the sample
volume). The uncertainty of the value of θF may explain why
several of the past studies mentioned earlier have obtained
results with σ 2
t <0 using the “traditional method”. The dual-
beamwidth method, however, is not subject to this problem
when V is negligible (i.e. in the beam parallel to the prevail-
ing wind), as long as the ratio θ2
H
θ2
F is constant. A major
goal of this study will be to compare estimates of σ 2
t from
Eq. (7) with those from the “traditional method” Eq. (3). σ 2
obs = σ 2
t + σ 2
beam+shear + σ 2
wave. (1) (1) Nastrom and Eaton (1997) found that in the troposphere
σ 2
wave is negligible for radars with short-dwell observa-
tions, such as those used here. Following Nastrom (1997),
σ 2
beam+shear can be approximated as Nastrom and Eaton (1997) found that in the troposphere
σ 2
wave is negligible for radars with short-dwell observa-
tions, such as those used here. σ 2
t = σ 2
obs −σ 2
beam+shear.
(3) σ 2
t = σ 2
obs −σ 2
beam+shear. 4
Vertical profiles The upper panels of Fig. 1 show the daily median winds ob-
served at Gadanki during 24–29 April 2002. The plotted σ 2
t = σ 2
obs −σ 2
beam+shear. (3) σ 2
t = σ 2
obs −σ 2
beam+shear. (3) G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method 3295 Fig. 4. Ratio of the median σ 2t -Trad to the median σ 2t -2BW during (left) April and (right) May for observations taken at (upper) 10◦and
(lower) 15◦zenith angles. Fig. 4. Ratio of the median σ 2t -Trad to the median σ 2t -2BW during (left) April and (right) May for observations taken at (upper) 10◦and
(lower) 15◦zenith angles. curves are the mean of four results for each day: the east and
west (north and south) beams and at 10 and 15◦zenith an-
gles. The symbols show the maximum and minimum value
among the four results; in general there is very little varia-
tion between the maximum and minimum for each day; i.e. the differences between winds on opposed beams and at 10◦
and 15◦zenith angles appear to be insignificant, except near
about 18 km on some days. The flow is characterized as
northeasterly (i.e. southwestward) below about 7 km, south-
westerly from about 10–15 km after 24 April and easterly
above about 17 km. While the declining signal-to-noise ratio
with height leads to greater variability above about 17 km,
there appears to be useful wind data at all heights in most
cases. right) from the 10◦zenith angle observations (results at 15◦
are nearly identical and are not shown). Both periods show
northeasterly winds below about 7 km. Above about 10 km
the meridional winds in May are very light while the zonal
winds continue to increase with height to a maximum speed
near 25 ms−1 at 17 km. Above about 20 km winds during
the two periods are again very similar. Error bars to show
the 95% confidence limits extend ± one standard error of the
mean (2σ/√No, where σ is the standard deviation of the No
hourly medians used) from the curves for the E and N beams. The lower panels of Fig. 2 show σ 2
obs during April (lower
left) and May (lower right). Except at about 5–7 km and
perhaps 17–19 km, where the meridional beams’ values are
greater than the zonal beams’, there is no significant differ-
ence among σ 2
obs for the four beams during April. During
May the meridional beams’ σ 2
obs values slightly exceed the
zonal beams’ from about 11–17 km. G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method 3294 Fig. 2. Median (upper) winds and (lower) observed spectral widths over all observations taken at 10◦zenith angle during (left) April and
(right) May. Bars extending ±2σ/√No are entered at representative heights along the E and N curves. Dashed vertical lines in the lower
panels show the minimum spectral resolution for Doppler half-width. Fig. 2. Median (upper) winds and (lower) observed spectral widths over all observations taken at 10◦zenith angle during (left) April and
(right) May. Bars extending ±2σ/√No are entered at representative heights along the E and N curves. Dashed vertical lines in the lower
panels show the minimum spectral resolution for Doppler half-width. Fig. 3. Median (upper) σ 2t -2BW and (lower) σ 2t -Trad over all observations taken at 10◦zenith angle during (left) April and (right) May. Bars extending ±2σ/√No are entered at representative heights along the E and N curves. Fig. 3. Median (upper) σ 2t -2BW and (lower) σ 2t -Trad over all observations taken at 10◦zenith angle during (left) April and (right) May. Bars extending ±2σ/√No are entered at representative heights along the E and N curves. G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method The dashed vertical
lines show the Doppler resolution for spectral width as used
here; in April (May) the values near 14 km and above about
19 km (22 km) are near the resolution limit. The lower panels of Fig. 1 are similar to the upper pan-
els, except they show the daily mean σ 2
obs. In general, there
is no clear pattern of differences among the individual days,
except near 12 km, where both wind components are very
light on 24 April and the associated σ 2
obs is relatively small. Apparently, the larger wind speeds lead to larger σ 2
obs due to
beam broadening and, perhaps, stronger turbulence. Ghosh
et al. (2003) also found that for relatively light wind speeds
there is not a strong effect of wind speed on σ 2
obs at Gadanki. Because there is relatively little change from day to day, we
will combine all days in April together in the analyses to fol-
low. The upper panels of Fig. 3 show σ 2
t
estimated using
Eq. (7), called σ 2
t -2BW. The lower panels show σ 2
t esti-
mated using Eq. (3), called σ 2
t -Trad. Below about 7 km
(8 km) during April (May) results from both methods are rel-
atively large, ranging between about 0.1 and 0.3 m2s−2, cor-
responding to the altitudes of active convection. Values for
the west beam are consistently smaller than those from the
other beams in April below 6 km; from 6 to 7.5 km values Figure 2 shows the profiles of median wind speed dur-
ing the entire period in April (upper left) and in May (upper G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method 3296 0
4
8
12
16
20
24
-2.5
-2
-1.5
-1
-0.5
log σt
2-2BW (m2s-2) (10o)
10o
Z4-7.5km
Z8.5-12
Z12.5-15.5
Z15.5-19
Z19-24
M4-7.5km
M8.5-12
M19-24
Hour (LT)
0
4
8
12
16
20
24
-2.5
-2
-1.5
-1
-0.5
Hour (LT)
log σt
2-2BW (m2s-2) (15o)
15o
Fi
Fig. 5. Hourly medians during 9–10 May of σ 2t -2BW over layers in
the troposphere and lower stratosphere in the zonal (Z) and merid-
ional (M) planes. Results for the meridional plane at 12–19 km are
negative due to strong zonal winds and are not shown. 5
Diurnal changes 0
4
8
12
16
20
24
-2.5
-2
-1.5
-1
-0.5
Hour (LT)
log σt
2-2BW (m2s-2) (15o)
15o Figure 5 shows the hourly march of σ 2
t -2BW during 9–10
May for the median values over five vertical layers (4–7.5,
8.5–12, 12–15.5, 15.5–19, and 19–24 km) for beams in the
zonal and meridional planes at 10◦(15◦) in the upper (lower)
panel. Results for the meridional beam at 12–19 km are not
shown as they are generally negative due to the strong zonal
winds in this region. The curves were smoothed with a 1/4-
1/2-1/4 filter. Diurnal changes with ranges of about 5 dB are seen in the
layers below 12 km and at 15.5–19 km. The results show
very little variation among zenith angles. At 4–7.5 km the
maximum (minimum) values occur near local noon (mid-
night), suggesting the enhanced TKE is related to a daytime
process such as convection. At 8.5–12 km and at 15.5–19 km
the curves show maxima (minima) in late afternoon (early
morning). The latter maxima may be caused by the deeper
convection that appears only in the afternoon. Curves at other
heights have indistinct diurnal cycles. Fig
Fig. 5. Hourly medians during 9–10 May of σ 2t -2BW over layers in
the troposphere and lower stratosphere in the zonal (Z) and merid-
ional (M) planes. Results for the meridional plane at 12–19 km are
negative due to strong zonal winds and are not shown. Bars extend-
ing ±2σ/√No are entered at representative hours along the Z4–7.5
and Z8.5–12 (Z15.5–19) curves in the upper (lower) panel. Narayana Rao et al. (2001) present a climatology of eddy
dissipation rates (ε) at Gadanki based on σ 2
t -Trad from
the radar observations combined with semi-daily radiosonde
profiles of the Brunt-V¨ais¨al¨a frequency (N). The diurnal
changes in ε that they give must be largely due to changes
in σ 2
t -Trad, since diurnal changes in N are relatively small
above the planetary boundary layer. During the season
March–May they find the diurnal range of ε (and thus of
σ 2
t -Trad) is about 5 dB in the upper troposphere and lower
stratosphere, similar to Fig. 5. However, the time of daily
maximum they give is at night, from 22–04 LT, in contrast to
the daytime maxima in Fig. 5. 5
Diurnal changes We find this difference in time
of maximum perplexing and suggest it should be investigated
more closely when a larger data set becomes available. for both beams in the zonal plane are smaller than those
in the meridional plane. During May there is no apparent
anisotropy at the lower altitudes. Above 7 or 8 km all values
become less than 0.02 m2s−2 at all altitudes except in the re-
gions of strong winds (discussed below); the σ 2
t -Trad values
are slightly smaller than those for σ 2
t -2BW. Note that negative values, where the corrections are larger
than σ 2
obs, are included in Fig. 3. The May results near
17 km illustrate the differing effects of the correction terms
in Eqs. (3) and (7); i.e. for σ 2
t -Trad the beam-broadening
corrections due to the large zonal wind speeds cause val-
ues for all four beams to be negative while for σ 2
t -2BW only
the meridional beams’ values are negative. A similar, but
smaller, effect is seen near 18 km during April. σ 2
t -2BW
may be expected to be more reliable as it is not influenced by
thin-layer effects or other beam-filling problems. The curves
in Fig. 3 are very similar where the winds are less than about
10 m/s, i.e. except from about 16–19 km during April and
12–19 km during May. G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method Bars extend-
ing ±2σ/√No are entered at representative hours along the Z4–7.5
and Z8.5–12 (Z15.5–19) curves in the upper (lower) panel. Figure 4 compares the σ 2
t -Trad and σ 2
t -2BW results for the
10◦(15◦) zenith angle in the upper (lower) panels. During
May the ratios are near unity below about 8 km, correspond-
ing to the altitudes where σ 2
t appears to be enhanced due to
convection (Fig. 3). However, during April the region where
the ratios are near unity extends much higher, to over 11 km. Above about 20 km the ratios are again near unity (within
1 or 2 dB), although this may be explained by the spectral
widths falling to their minimum detectable signal as noted
earlier. There is very little difference between the results at
10◦and 15◦zenith angle. 0
4
8
12
16
20
24
-2.5
-2
-1.5
-1
-0.5
log σt
2-2BW (m2s-2) (10o)
10o
Z4-7.5km
Z8.5-12
Z12.5-15.5
Z15.5-19
Z19-24
M4-7.5km
M8.5-12
M19-24
Hour (LT) 6
Summary and conclusions A brief experiment was conducted with the MST radar at
Gadanki, India, to test the dual-beamwidth method for es-
timating TKE. Because the antenna size could be changed
for only one polarization at a time the resulting beam was
elliptical rather than conical. Theoretical analysis showed
that in the dual-beamwidth method for an elliptical beam The data above about 20 km appear nearly constant with
height. This may reflect the lower bound of σ 2
t detectable
with the Gadanki radar. 3297 G. Nastrom et al.: Measurements of atmospheric turbulence with the dual-beamwidth method there is a term that depends on the windspeed perpendicu-
lar to the beam (the final term in Eq. 7). During the April
period the winds were relatively light at all altitudes, and
there was relatively good agreement between results from the
dual-beamwidth method and the traditional method. How-
ever, during the May period, from about 14 to 18 km, the
zonal winds were relatively strong and the meridional winds
were nearly calm. Our estimates of TKE during May by
the dual-beamwidth method for the zonal beam are positive
while those from the meridional beam and from the tradi-
tional method are negative, giving a good illustration of the
ability of this method to extract TKE during strong winds (at
least in the beam parallel to the wind) when the traditional
method fails. Acknowledgements. G. D. Nastrom was partially supported by the
National Science Foundation ATM-0129464 and the Air Force
Office of Scientific Research F496200210167. References Atlas, D.: Advances in radar meteorology, edited by Landsberg, H. and van Mieghem, J., Academic, Adv. Geophys., 10, 317–478,
1964. Fukao, S., Yamanaka, M. D., Ao, N., Hocking, W. K., Sato, T.,
Yamamoto, M., Nakamura, T., Tsuda, T., and Kato, S.: Seasonal
variablity of vertical eddy diffusivity in the middle atmosphere,
1. Three-year observations by the middle and upper atmosphere
radar, J. Geophys. Res., 99, 18 973–18 987, 1994. Ghosh, A. K., Jain, A. R., and Sivakumar, V.:
Simultaneous
MST radar and radiosonde measurements at Gadanki (13.5◦N,
79.2◦E), 2. Determination of various atmospheric turbulence pa-
rameters, Radio Sci., 38, (1), 1014, doi:10.1029/2000RS002528,
2003. Hocking, W. K.: Measurement of turbulent energy dissipation rates
in the middle atmosphere by radar techniques: a review, Radio
Sci., 20, 1403–1422, 1985. The following specific points have been noted: 1. Winds and turbulence from 10◦and 15◦zenith angles
are the same. Hocking, W. K.: Observation and measurement of turbulence in the
middle atmosphere with a VHF radar, J. Atmos. Terr. Phys., 48,
655–670, 1986. Jain, A. R., Narayana Rao, D., and Rao, P. B.: Indian MST radar –
An overview of the scientific programmes and results, Indian J. Radio & Space Phys., 29, 149–171, 2000. 2. Winds and turbulence from opposing beams in the same
plane are the same. 2. Winds and turbulence from opposing beams in the same
plane are the same. Kurosaki, S., Yamanaka, M. D., Hashiguchi, H., Sato, T., and
Fukao, S.: Vertical eddy diffusivity in the lower and middle at-
mosphere: A climatology based on the MU radar observations
during 1986–1992, J. Atmos. Terr. Phys., 58, 727–734, 1996. 3. During light wind conditions, σ 2
t
from the modified
dual-beamwidth method and the traditional method are
the same. During strong wind conditions (over about
15 ms−1) the modified dual-beamwidth method contin-
ues to give realistic estimates in the beam parallel to the
wind while for the other plane, and for both planes with
the traditional method, the corrections are larger than
the observed spectral width. Latteck, R., Singer, W., and Engler, N.: Application of the dual-
beamwidth method to a narrow beam MF radar for estimation of
spectral width, Proceedings, MST10 Workshop on technical and
scientific aspects of MST radar, Piura, Peru, 90, 2003. Narayana Rao, D., Narayana Rao, T., Venkataratnam, M., Thulasir-
aman, S., Rao, S. V. B., Srinivasulu, P., and Rao, P. B.: Diurnal
and seasonal variablity of turbulence parameters observed with
Indian mesosphere-stratosphere-troposphere radar, Radio Sci.,
36, 1439–1457, 2001. 4. Values of σ 2
t are about 10−1 m2s−2 in the troposphere
(3.6–7.5 km), and about 10−2 above about 9 km. Values
above 12 km are slightly larger during the May period
when winds were stronger. Nastrom, G. D.: Doppler radar spectral width broadening due to
beamwidth and wind shear, Ann. Geophys., 15, 786–796, 1997. Nastrom, G. D. and Eaton, F. D.: Turbulence eddy dissipation
rates from radar observations at 5–20 km at White Sands Mis-
sile Range, New Mexico, J. Geophys. Res., 102, 19 495–19 506,
1997. 5. The diurnal range of σ 2
t
is about 5 dB below about
12 km. Maximum values occur near local noon at 4.5–
7 km and several hours later at 8.5–12 km. The diurnal
cycle at 15.5–19 km is very similar to that at 8.5–12 km. Nastrom, G. D. and Tsuda, T.: Anisotropy of Doppler spectral pa-
rameters in the VHF radar observations at MU and White Sands,
Ann. Geophys., 19, 883–888, 2001. Rao, P. B., Jain, A. R., Kishore, P., Balamuralidhar, P., Damle, S. H.,
and Viswanathan, G.: Indian MST radar, 1. System description
and sample vector wind measurements in ST mode, Radio Sci.,
30, 1125–1138, 1995. Acknowledgements. G. D. 2. Winds and turbulence from opposing beams in the same
plane are the same. Nastrom was partially supported by the
National Science Foundation ATM-0129464 and the Air Force
Office of Scientific Research F496200210167. Acknowledgements. G. D. Nastrom was partially supported by the
National Science Foundation ATM-0129464 and the Air Force
Office of Scientific Research F496200210167. Topical Editor U.-P. Hoppe thanks S. Cohn and another referee
for their help in evaluating this paper. Satheesan, K. and Krishna Murthy, B. V.: Turbulence parameters
in the tropical troposphere and lower stratosphere, J. Geophys. Res., 107, (D1), ACL 2–1, doi:101029/2000JD000146, 2002. VanZandt, T. E., Nastrom, G. D., Furumoto, J., Tsuda, T., and Clark,
W. L.: A Dual-Beamwidth Method for observing atmospheric
turbulence intensity with radar, Geophys. Res. Lettr., 29, (12),
doi:10.1029/2001GL014283, 2002.
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English
| null |
<i>Reply:</i>
|
American journal of neuroradiology
| 2,017
|
cc-by
| 541
|
http://dx.doi.org/10.3174/ajnr.A5261 of October 23, 2024.
This information is current as
Reply:
S.A. Sajjadi and P.J. Nestor
http://www.ajnr.org/content/38/9/E64
https://doi.org/10.3174/ajnr.A5261
doi:
2017, 38 (9) E64
AJNR Am J Neuroradiol Reply:
S.A. Sajjadi and P.J. Nestor
http://www.ajnr.org/content/38/9/E64
https://doi.org/10.3174/ajnr.A5261
doi:
2017, 38 (9) E64
AJNR Am J Neuroradiol of October 23, 2024. This information is current as REPLY: essentially becomes a forced-choice paradigm; this, in turn, may
artificially inflate the accuracy compared with a real-world clinical
environment in which the differential diagnosis is more
open-ended. W
e thank Dr Matias-Guiu et al for their interest in our study
on the role of MR imaging in the syndromic classification
of primary progressive aphasia (PPA).1 Their proposal that FDG-
PET might be a more sensitive method than structural MR imag-
ing is highly plausible. We also agree with Matias-Guiu et al that
direct comparison would be necessary to definitively resolve the
issue. For instance, both structural MR imaging and FDG-PET
measure neurodegeneration. The greater the degree of neurode-
generation, therefore, the more likely it is to be detectable with
these types of imaging. In other words, the sensitivity of any tech-
nique that operates through detecting degeneration is also a func-
tion of disease severity. To this end, it is possibly relevant that their
PPA group as a whole was more advanced than those with PPA in
our series—mean Mini-Mental State Examination and Adden-
brookes cognitive examination scores of 18.5 8.1 and 46.1
22.0,2 respectively, compared with scores of 22.1 3.9 and 56.4
14.1.1 Whether this confounder offers a credible explanation for
the apparent increased sensitivity of FDG-PET of Matias-Guiu
et al is perhaps debatable, but nonetheless important to address
with a direct comparison. W Finally, as noted by Matias-Guiu et al, a new study could also
assess the potential benefit of the combination of FDG-PET and
MR imaging. To this end, we would add the possibility that the
decision of whether to combine them is likely to vary according to
the precise clinical question. For instance, our study showed that
MR imaging returns near-perfect accuracy in detecting the lesions
of semantic-variant PPA, making FDG-PET redundant in this
scenario. In contrast, the terrible sensitivity yet good specificity
for nonfluent and logopenic PPA with MR imaging suggest that a
hierarchic algorithm in which one proceeds to FDG-PET if the
MR imaging is nonspecific might be sensible. E64
Letters
Sep 2017
www.ajnr.org REFERENCES 1. Sajjadi SA, Sheikh-Bahaei N, Cross J, et al. Can MRI visual assessment
differentiate the variants of primary-progressive aphasia? AJNR
Am J Neuroradiol 2017 Mar 24. [Epub ahead of print] CrossRef
Medline 2. Matías-Guiu JA, Cabrera-Martín MN, Pe´rez-Castejo´n MJ, et al. Visual
and statistical analysis of 18F-FDG PET in primary progressive apha-
sia. Eur J Nucl Med Mol Imaging 2015;42:916–27 CrossRef Medline A further methodologic feature that we would strongly advo-
cate in designing a future study is the inclusion of a good number
of negative (healthy age-matched) and positive (non-PPA degen-
erative dementia) controls. If raters know a priori that the scans
they are evaluating come from a few predefined groups, the rating X
S.A. Sajjadi
Department of Neurology
University of California, Irvine
Irvine, California
X
P.J. Nestor
German Center for Neurodegenerative diseases
Magdeburg, Germany 64
Letters
Sep 2017
www.ajnr.org E64
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https://openalex.org/W2307879930
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https://rvc-repository.worktribe.com/preview/1583418/Spatial%20Distribution%20And%20Risk%20Factors%20For%20Human%20Cysticercosis%20In%20Colombia.pdf
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English
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Disorganization of the splenic microanatomy in ageing mice
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Immunology
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cc-by
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Spatial distribution and risk factors
for human cysticercosis in Colombia Erika Galipó1,2, Matthew A. Dixon3,4,5* , Claudio Fronterrè6, Zulma M. Cucunubá3,4,8, Maria‑Gloria Basáñez3,4,
Kim Stevens2, Astrid Carolina Flórez Sánchez7 and Martin Walker2,3 Parasites & Vectors Parasites & Vectors Galipó et al. Parasites & Vectors (2021) 14:590
https://doi.org/10.1186/s13071-021-05092-8 Parasites & Vectors RESEARCH
Spatial distribution and risk factors
for human cysticercosis in Colombia
Erika Galipó1,2, Matthew A. Dixon3,4,5* , Claudio Fronterrè6, Zulma M. Cucunubá3,4,8, Maria‑Gloria Basáñez3,4,
Kim Stevens2, Astrid Carolina Flórez Sánchez7 and Martin Walker2,3
Open Access Abstract Background: Cysticercosis is a zoonotic neglected tropical disease (NTD) that affects humans and pigs following the
ingestion of Taenia solium eggs. Human cysticercosis poses a substantial public health burden in endemic countries. The World Health Organization (WHO) aims to target high-endemicity settings with enhanced interventions in 17
countries by 2030. Between 2008 and 2010, Colombia undertook a national baseline serosurvey of unprecedented
scale, which led to an estimated seroprevalence of T. solium cysticercus antibodies among the general population
of 8.6%. Here, we use contemporary geostatistical approaches to analyse this unique dataset with the aim of under‑
standing the spatial distribution and risk factors associated with human cysticercosis in Colombia to inform how best
to target intervention strategies. Methods: We used a geostatistical model to estimate individual and household risk factors associated with sero‑
positivity to T. solium cysticercus antibodies from 29,253 people from 133 municipalities in Colombia. We used both
independent and spatially structured random effects at neighbourhood/village and municipality levels to account
for potential clustering of exposure to T. solium. We present estimates of the distribution and residual correlation of
seropositivity at the municipality level. Results: High seroprevalence was identified in municipalities located in the north and south of Colombia, with
spatial correlation in seropositivity estimated up to approximately 140 km. Statistically significant risk factors associ‑
ated with seropositivity to T. solium cysticercus were related to age, sex, educational level, socioeconomic status, use
of rainwater, consumption of partially cooked/raw pork meat and possession of dogs. Conclusions: In Colombia, the distribution of human cysticercosis is influenced by socioeconomic considerations,
education and environmental factors related to the spread of T. solium eggs. This information can be used to tailor
national intervention strategies, such as targeting spatial hotspots and more highly exposed groups, including dis‑
placed people and women. Large-scale seroprevalence surveys accompanied by geospatial mapping are an essential
step towards reaching the WHO’s 2021‒2030 NTD roadmap targets. Keywords: Taenia solium, Cysticercosis, Risk factors, Spatial analysis, Geostatistics, Colombia *Correspondence: m.dixon15@imperial.ac.uk
5 Schistosomiasis Control Initiative (SCI) Foundation, Edinburgh House,
170 Kennington Lane, Lambeth, London SE11 5DP, UK
Full list of author information is available at the end of the article © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the
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licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco
mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Page 2 of 15 Galipó et al. Parasites & Vectors (2021) 14:590 0
100 200 300 400 500 600 km
N
Random Effects U^
−1
0
1
2 s U^ 0
100 200 300 400 500 600 km faeces. Eggs hatch in the pig’s digestive system, and the
released oncospheres first penetrate the intestinal wall,
entering the bloodstream, and then become encysted
in striated muscle, brain, liver and subcutaneous and
other tissues. Porcine cysticercosis is often asymp-
tomatic [2, 3], although cysts in pig brain tissue can
cause neurocysticercosis (NCC) and epileptic seizures
[4] Study designh The data were collected by the Colombian National
Health Institute (Instituto National de Salud) between
2008 and 2010 with the aim of estimating T. solium
human cysticercosis antibody seroprevalence and asso-
ciated risk factors. Details of the original data collection
can be found in [14]. Briefly, individuals aged from 2 to
64 years, from 23 departments and Bogotá district, liv-
ing in 133 municipalities with > 5000 inhabitants and a
health centre were eligible for inclusion. The small pro-
portion of total municipalities sampled (133/1122) was
due to logistical and financial constraints. A three-stage
cluster random sampling approach was used, covering
23 out of Colombia’s 32 departments (first administra-
tive level unit) and Bogotá district (Additional file 1:
Figure S1). The municipality constituted the primary
sample unit (PSU) and was stratified according to level
of urbanization, rural and urban population composi-
tion and the Unsatisfied Basic Needs Index (Indice de
Necesidades Básicas Insatisfechas) [15]. Within each
stratum, the secondary sample unit (SSU) was defined
as a neighbourhood (urban) or village (rural) with > 10
households and selected by random sampling. Finally,
10 households in each SSU were randomly selected, and
one person belonging to each household (between the
age of 2 and 64 years) was selected at random from those
present at the interview. Following informed consent,
finger-prick blood samples were obtained from 29,360
participants, and each sample was assessed for the pres-
ence of circulating T. solium cysticercus antibodies at the
National Health Institute Reference Laboratory (Labo-
ratorio de Parasitología del Instituto Nacional de Salud)
by enzyme-linked immunosorbent assay (ELISA), with a
reported sensitivity of 100% and specificity of 97.5% [16]. Participants also completed a questionnaire on sociode-
mographic information, hygiene habits, health condi-
tions, food consumption habits, living conditions and
animal ownership and management. The questionnaire
was developed by the research team in Colombia, with
input from experts on cysticercosis. It was first tested in Taeniasis/cysticercosis is widely endemic globally. Taenia solium cysticercosis antibody seroprevalence,
indicative of exposure, ranges from 1.8 to 31.2% in Latin
America, from 12.6 to 19.2% in Asia and from 7.7 to
34.5% in Africa (as measured using an enzyme-linked
Immunoelectrotransfer blot [EITB] assay) [9], which
highlights substantial variation in exposure to T. solium
eggs across settings. NCC is responsible for the predomi-
nant disease burden associated with T. Background The zoonotic tapeworm, Taenia solium, is responsi-
ble for taeniasis/cysticercosis which is included in the
World Health Organization’s (WHO’s) list of priori-
tised neglected tropical diseases (NTDs) [1]. Humans
are the definitive hosts of T. solium and harbour the
adult tapeworm in their bowel. Pigs are intermediate
hosts, infected by larval cysts (cysticerci) following
ingestion of parasite eggs and proglottids [2] in human Galipó et al. Parasites & Vectors (2021) 14:590 Page 3 of 15 Galipó et al. Parasites & Vectors (2021) 14:590 Humans contract taeniasis following consumption
of tissue cysts in poorly cooked pork meat. Taeniasis is
usually asymptomatic, but mild symptoms, including
abdominal pain, distension, diarrhoea and nausea, may
appear [2]. Humans can also be infected with T. solium
eggs, typically from ingestion of food contaminated with
human faecal material [5] or food washed with con-
taminated water [6]. Internal auto-infestation following
regurgitation of proglottids in the stomach has also been
suggested as an additional route of infection [2, 5, 7]. Infection with T. solium eggs causes cysticercosis which
manifests most severely when cysts migrate to the central
nervous system, resulting in NCC [2]. Morbidity from
NCC associated with seizures, epilepsy and other neuro-
logical sequelae is driven by the number and location of
cysts or following the degeneration of viable cysts [8]. distribution of T. solium cysticercus seropositivity in
Colombia, as well as individual and household risk fac-
tors associated with exposure to the parasite. This work
extends the original analysis of these data [14] by inte-
grating the effects of individual covariates and spatial
clustering at multiple hierarchical levels within a single
statistical framework. We present maps of the spatial
distribution of T. solium cysticercus seropositivity in
Colombia, estimates of spatial correlation and demo-
graphic, socioeconomic, behavioural and other risk fac-
tors associated with exposure to this zoonotic NTD. Study designh solium infection,
accounting for approximately 30% of epilepsy cases in
endemic countries and 3% globally [10]. In addition, this
zoonosis impacts the pork meat market, with small pro-
ducers experiencing economic losses due to the reduc-
tion in value of infected pork meat [4] and a market shift
towards home slaughtering and selling [11]. In Colombia, taeniasis/cysticercosis poses a substantial
public health problem [12], with an estimated life-time
prevalence of epilepsy of 20.9 per 1000 individuals and a
prevalence of neurocysticercosis (by computed tomog-
raphy scan) of 13.9% [13]. The country-wide prevalence
of T. solium cysticercus antibodies was estimated at 8.6%
from a national serosurvey of more than 29,000 peo-
ple conducted between 2008 and 2010 [14]. Despite the
unprecedented scale of this epidemiological survey—and
the development by the Pan American Health Organiza-
tion in 2015 of a formal plan of surveillance and control
in Colombia [12]—there has been little implementation
of systematic surveillance or intervention activities. Con-
sequently, the epidemiology of T. solium in Colombia is
unlikely to have changed substantively during the past
decade since these data were generated. Thus, the dataset
remains the most comprehensive and relevant country-
wide cross-sectional ‘snapshot’ of T. solium epidemiol-
ogy anywhere across the globe and a unique information
resource. Here, we analyse this dataset using a contempo-
rary geostatistical approach to understand the spatial Page 4 of 15 Galipó et al. Parasites & Vectors (2021) 14:590 Galipó et al. Parasites & Vectors (2021) 14:590 a pilot survey carried out in 216 homes in the munici-
pality of Caqueza (Department of Cundinamarca), from
28 August to 2 September 2008 and adjusted accord-
ingly. Teams in the field were trained on the use of the
questionnaire before it was applied on the whole sample. Details on the cleaning and coding of this dataset can be
found in Additional file 1: Text S1. the empirical variogram was computed only on U , the
estimated random effects at the municipality level. A
Monte Carlo test for the null hypothesis of spatial inde-
pendence was performed based on 10,000 random per-
mutations of U amongst the sampled municipalities. The
variograms computed on the permuted random effects
represent the sampling distribution of the estimated
variogram in the absence of spatial correlation. Incorporating spatial structure In the presence of spatial correlation, the independent ran-
dom effects at the municipality level, U , were replaced with
a set of spatially structured random effects, S(x) , where x is a
vector with the centroids of the sampled municipalities. S(x)
is a spatial Gaussian process with variance σ 2 and correlation
functionρ(µ) = exp
−µ
ϕ
, where µ is the distance between
a pair of municipality centroids and ϕ is a parameter that
controls the rate at which the spatial correlation decays with
increasing distance. Conditional on these spatially structured
random effects, the observations can still be considered as
independent Bernoulli random variables [18]. The spatially
structured model was fitted using the integrated nested
Laplace approximation (INLA) and stochastic partial differ-
ential equation (SPDE) approaches [19, 20] which implement
approximate Bayesian inference in a computationally less
intensive manner to alternative Markov chain Monte Carlo
(MCMC) approaches. A flat Gaussian prior with mean and
precision equal to zero was assigned to the model intercept
term; other fixed effects were assigned independent vague
Gaussian priors with mean zero and precision equal to 0.001. For the precision of the independent neighbourhood/village
random effects, 1/τ , a vague Gamma prior was used, and for
the parameters σ 2 and ϕ of the spatially-structured random
effects, we adopted penalised complexity priors [21]. Adjusted ORs and 95% credible intervals (95% CrIs) were
obtained for each risk factor from the final fitted model. The generic structure of all models is given by: (1)
Y ∼Bern(µ),
logit(µ) = βX + Z + U,
Z ∼N(0, τ),
U ∼N(0, σ), (1) where Y is a binary vector of observations indicating
whether an individual tested positive for T. solium cysti-
cercus antibodies, assuming a Bernoulli distribution; µ is
a vector of probabilities for testing positive; β is a vector
of regression coefficients, and X is the design matrix of
explanatory variables; U and Z are vectors of independ-
ent and normally distributed random effects terms asso-
ciated with municipalities and neighbourhoods/villages,
respectively; and σ and τ are the standard deviations of
the respective random effects terms (indicative of the
degree of variability at each hierarchical level). From the
final fitted models, adjusted odds ratios (ORs), 95% con-
fidence intervals (95% CIs) and P-values were obtained
for each risk factor. All notations/parameters are sum-
marised in Additional file 1: Table S1. Incorporating spatial structure A sub-analysis on
risk factors in those individuals owning pigs (n = 3154)
was also conducted (methodological details are given in
Additional file 1: Text S1).if Study designh If the
empirical variogram ordinates fall outside of the 95% CI
obtained from the Monte Carlo test, then there is some
evidence of spatial correlation at municipality level. Model‑building and analysis of residual spatial correlation
Before performing the geospatial analysis, an initial
exploratory analysis was undertaken (using R version
4.0.5 [17]). Given the clustered nature of the data, a
hierarchical univariate mixed-effects logistic regression
model was fitted to test the association between each
explanatory variable (covariate) and human seropositiv-
ity to T. solium cysticerci, with each model including two
independent random effects terms to capture correlation
at the municipality and neighbourhood/village (depend-
ing on urban or rural location) levels. Explanatory varia-
bles with a P-value ≤ 0.25 (a conservative cut-off to avoid
missing potentially important variables), derived from
a likelihood ratio test, were retained in the subsequent
hierarchical multivariable mixed-effects logistic regres-
sion model.h Study population and seroprevalence distribution Study population and seroprevalence distribution
Of the 29,360 observations, 29,253 (99.6%) observations
were kept for analysis, with 107 removed due to miss-
ing covariate values. Participants were mostly located
in urban areas (77.9%), mostly aged 21‒50 years (64.4%)
and mostly women (68.5%); the main occupational activ-
ity was housewife/houseman (44.5%). Socioeconomic
stratum 1 (lowest of 4 socioeconomic strata, excluding
displaced people) was the most frequently represented
socioeconomic stratum (49.5%), and participants most
frequently had a partial or complete secondary school i
Following fitting of the multivariable mixed-effects
model, a variogram analysis was performed to assess
the presence of residual spatial correlation [17]. Since
the geographical coordinates were available only for the
municipalities and not for the neighbourhoods/villages, Page 5 of 15 Galipó et al. Socioeconomic status (stratum) Study population and seroprevalence distribution Parasites & Vectors (2021) 14:590 CI Confidence interval
Table 1 (continued)
Covariate
Level
Number (%) of
respondents
Total number (%; 95% CI)
of positive respondents
Hygiene practices
Washing vegetables
No consumption
82 (0.28)
8 (9.76; 4.31–18.30)
Always
7304 (24.97)
588 (8.05; 7.43–8.69)
Occasionally
10,664 (36.46)
1461 (13.7; 13.00–14.30)
Never
11,166 (38.17)
718 (6.43; 5.98–6.90)
Washing hands before a meal
Always
12,925 (44.18)
1171 (9.06; 8.58–9.57)
Occasionally
14,950 (51.11)
1489 (9.96; 9.48–10.40)
Never
1376 (4.70)
115 (8.36; 6.95–9.95)
Elimination of excreta
Sanitary conditions
20,401 (69.74)
1526 (7.48; 7.12–7.85)
In waterway
543 (1.86)
50 (9.21; 6.91–12.00)
Latrine with well
6403 (21.89)
862 (12.9; 12.1–13.7)
Latrine without well
519 (1.78)
67 (12.9; 10.1–16.1)
Open field
1084 (3.71)
270 (24.9; 22.3–27.5)
Owning animals
Cattle
Not owning
27,947 (95.54)
2641 (9.45; 9.11–9.80)
Owning
1301 (4.45)
134 (10.3; 8.74–12.1)
Cats
Not owning
23,590 (80.64)
2208 (9.36; 8.99–9.74)
Owning
5670 (19.38)
567 (10.0; 9.26–10.8)
Dogs
Not owning
16,194 (55.36)
1349 (8.33; 7.91–8.77)
Owning
13,083 (44.72)
1426 (10.9; 10.4–11.5)
Birds
Not owning
20,213 (69.10)
1799 (8.90; 8.51–9.30)
Owning
9037 (30.89)
976 (10.80; 10.20–11.50)
Pigs
Not owing
26,105 (89.24)
2386 (9.14; 8.80–9.50)
Owning ≤ 10 pigs
2705 (9.25)
349 (12.9; 11.70–14.30)
Owning > 10 pigs
460 (1.57)
40 (8.70; 6.28–11.7) CI Confidence interval educational level (45.8%) (Table 1). The mean seropreva-
lence of T. solium cysticercus antibodies was 9.6%, rang-
ing from 0.5% in the Department of Caldas to 38.7% in
the Department of Vaupés (Additional file 1: Table S2). Municipalities with the highest seroprevalence were
located in the north and south of Colombia (Fig. 1), while
municipalities with lower seroprevalence were concen-
trated in the central part of the country. seropositive for T. solium cysticercus antibodies; increas-
ing education level, socioeconomic status and consum-
ing partially cooked/raw pork meat once per week were
significantly associated with decreased odds of being
seropositive (Additional file 1: Table S4). Risk factor anal-
ysis results from the sub-analysis of those owning pigs
(n = 3154) are reported in Additional file 1: Text S2 and
Additional file 1: Table S5. Study population and seroprevalence distribution Parasites & Vectors (2021) 14:590 Table 1 Total number of respondents for each covariate level and tot
antibodies
Covariate
Level
Sociodemographic characteristics
Sex
Male
Female
Age groups (years)
2–10
11–20
21–30
31–40
41–50
51–60
61–64
Residence
Rural
Urban
Education level
Education higher than secondary
Partial/complete secondary educa
Partial/complete primary educatio
No education
Occupation
Other occupations
Self-employed
Employee
Farm coordinator
Farm labourer
Student
Housewife/houseman
Businessman
Farm owner
Socioeconomic status (stratum)
≥ 4
3
2
1
Displaced people
Eating habits
Pork consumption & cooking level
No consumption
Well cooked; < once per month
Well cooked; once per month
Well cooked; once per week
Well cooked; > once per week
Partially cooked/raw; < once per m
Partially cooked/raw; once per mo
Partially cooked/raw; once per we
Partially cooked/raw; > once per w
Water source
Well/ cistern
Aqueduct
Waterway
Other sources
Rain water Table 1 Total number of respondents for each covariate level and total number positive for circulating Taenia solium cysticercus
antibodies
Covariate
Level
Number (%) of
respondents
Total number (%; 95% CI)
of positive respondents
Sociodemographic characteristics
Sex
Male
9227 (31.54)
809 (8.77; 8.20–9.36)
Female
20,026 (68.46)
1967 (9.82; 9.41–10.20)
Age groups (years)
2–10
972 (3.32)
76 (7.82; 6.21–9.69)
11–20
3583 (12.25)
337 (9.41; 8.47–10.4)
21–30
6558 (22.42)
641 (9.78; 9.07–10.50)
31–40
6359 (21.74)
617 (9.70; 8.99–10.50)
41–50
5927 (20.26)
578 (9.76; 9.01–10.50)
51–60
4398 (15.03)
409 (9.30; 8.46–10.20)
61–64
1456 (4.98)
117 (8.04; 6.70–9.56)
Residence
Rural
6455 (22.07)
764 (11.80; 11.00–12.60)
Urban
22,798 (77.93)
2011 (8.83; 8.46–9.20)
Education level
Education higher than secondary
3862 (13.20)
296 (7.67; 6.85–8.55)
Partial/complete secondary education
13,405 (45.82)
1190 (8.88; 8.40–9.37)
Partial/complete primary education
10,615 (36.29)
1113 (10.5; 9.91–11.10)
No education
1371 (4.69)
176 (12.8; 11.10–14.70)
Occupation
Other occupations
844 (6.17)
125 (6.93; 5.80–8.20)
Self-employed
4340 (14.84)
325 (7.49; 6.72–8.31)
Employee
4367 (14.93)
374 (8.56; 7.75–9.43)
Farm coordinator
135 (0.46)
12 (8.89; 4.68–15.00)
Farm labourer
720 (2.46)
65 (9.03; 7.04–11.40)
Student
3538 (12.09)
322 (9.10; 8.18–10.10)
Housewife/houseman
13,005 (44.46)
1313 (10.1; 9.58–10.6)
Businessman
499 (1.71)
53 (10.6; 8.06–13.7)
Farm owner
1805 (2.89)
186 (22.00; 19.30–25.00)
Socioeconomic status (stratum)
≥ 4
581 (1.99)
26 (4.48; 2.94–6.49)
3
3743 (12.80)
176 (4.70; 4.05–5.43)
2
10,166 (34.75)
706 (6.95; 6.46–7.46)
1
14,465 (49.45)
1715 (11.90; 11.30–12.40)
Displaced people
298 (1.02)
152 (51.00; 45.20–56.80)
Eating habits
Pork consumption & cooking level
No consumption
3328 (11.38)
416 (12.50; 11.40–13.70)
Well cooked; < once per month
12,744 (43.56)
1203 (9.44; 8.94–9.96)
Well cooked; once per month
5789 (19.79)
561 (9.69; 8.94–10.5)
Well cooked; once per week
3419 (11.69)
293 (8.57; 7.65–9.56)
Well cooked; > once per week
1549 (5.29)
127 (8.20; 6.88–9.68)
Partially cooked/raw; < once per month
1320 (4.51)
96 (7.27; 5.93–8.81)
Partially cooked/raw; once per month
436 (1.49)
32 (7.34; 5.07–10.2)
Partially cooked/raw; once per week
410 (1.40)
26 (6.33; 4.17–9.13)
Partially cooked/raw; > once per week
265 (0.91)
21 (7.92; 4.97–11.9)
Water source
Well/ cistern
2738 (9.36)
190 (6.94; 6.02–7.96)
Aqueduct
19,485 (66.61)
1401 (7.19; 6.83–7.56)
Waterway
4904 (16.77)
564 (11.50; 10.60–12.5)
Other sources
574 (1.96)
132 (23.00; 19.60–26.70)
Rain water
1554 (5.31)
488 (31.40; 29.10–33.70) Table 1 Total number of respondents for each covariate level and total number positive for circulating Taenia solium cysticercus
antibodies
Covariate
Level
Number (%) of
respondents
Total number (%; 95% CI)
of positive respondents Eating habits
Pork consumption & cooking level Water source Page 6 of 15 Galipó et al. Risk factors for human seropositivity without spatial
structuref From the univariate mixed-effects logistic regression
model with two random effects, food consumption in
streets, washing hands after toilet usage and owning ani-
mals other than dogs and pigs (cattle, cats, birds) were
excluded from further (multivariate) analysis, having a
P-value > 0.25 (Additional file 1: Table S3). Consequently,
16 explanatory variables were included in the multivari-
able mixed-effect logistic regression with two random
effects. Increasing age (as age categories), being female,
owning dogs and using rainwater as a water source were
significantly associated with increased odds of being Figure 2 shows a map of the residual variation in the
seroprevalence of T. solium cysticercus antibodies at the
municipality level that is unexplained by the covariates
in the non-spatial mixed-effects model. Figure 3 shows
a variogram analysis carried out on the municipalities’
estimated random effects. The empirical variogram falls
partially outside of the 95% confidence bands, suggesting
the presence of spatial correlation in seroprevalence at the
municipality level (unexplained by the covariates) up to
approximately 120–140 km; further than this distance, the
variation between two spatial points starts to plateau This Galipó et al. Parasites & Vectors (2021) 14:590 Page 7 of 15 0
100
200
300
400 km
N
Seroprevalence (%)
0 to 3
3 to 6
6 to 9
9 to 16
16 to 25
25 to 40
Fig. 1 Seroprevalence of cysticercosis in Colombia, 2008–2010. Seroprevalence of Taenia solium cysticercus antibodies in 133 municipalities in
Colombia. Departments are outlined in pale grey lines and sampled municipalities are shown in solid colours Fig. 1 Seroprevalence of cysticercosis in Colombia, 2008–2010. Seroprevalence of Taenia solium cysticercus an
Colombia. Departments are outlined in pale grey lines and sampled municipalities are shown in solid colours estimate was determined more precisely from the fitted
geostatistical model (see below) to a value of 139 km. positive generally increased with age. For example, adults
aged between 21 and 60 years were approximately two-
fold more likely to test positive than children in the age
range 2–10 years. Lower educational levels were sig-
nificantly associated with increased odds of seropositiv-
ity, with the highest estimated odds associated with no
formal education. Displaced people had 2.20-fold (95%
CrI = 1.15–4.28) higher odds of being seropositive than
people in the highest socioeconomic stratum; there was
no significant difference among other socioeconomic
strata. Risk factors for human seropositivity without spatial
structuref The use of rainwater as a water source was associ-
ated with 1.6-fold (95% CrI = 1.21–2.13) higher odds of Geostatistical modelh The geostatistical model estimated a strong spatial corre-
lation at the municipality level of up to 139 km. The ORs
and 95% CrIs associated with each covariate included in
the final multivariable model (which accounts for spatial
correlation at the municipality level) are given in Table 2. Notably, the odds of testing positive for T. solium cysti-
cercus antibodies was 1.29-fold (95% CrI = 1.15–1.46)
greater for females than for males, and the odds of testing Galipó et al. Parasites & Vectors (2021) 14:590 Page 8 of 15 0
100 200 300 400 500 600 km
N
Random Effects U^
−1
0
1
2
Fig. 2 Residual variation in Taenia solium cysticercus seroprevalence at the municipality level across Colombia. The map represents the residual
variation in cysticercus seroprevalence at the municipality level that is not explained by the covariates in the non-spatial mixed-effects model Random Effects U^ Fig. 2 Residual variation in Taenia solium cysticercus seroprevalence at the municipality level across Colombia. The map represents the residual
variation in cysticercus seroprevalence at the municipality level that is not explained by the covariates in the non-spatial mixed-effects model Discussionh Their results suggested
that higher antibody seroreversion rates occur follow-
ing first exposure (representing the primary humoral
response), followed by a lower seroreversion rate after
the boosting effect of subsequent exposures (represent-
ing secondary humoral response), causing saturation in
antibody seroprevalence with age. Hence, where trans-
mission is relatively intense—and repeated exposures
are common—one might expect to see similar saturat-
ing age–seroprevalence profiles. By contrast, in lower
transmission settings, the effect of seroreversion fol-
lowing first exposure—and the less frequent boosting
effect of subsequent exposures—may be more evident in
seroprevalence profiles, possibly resulting in a decline in
seropositivity in older age groups. Fig. 3 Estimated variogram for the mixed-effects model residuals
at the municipality level (blue dots) across Colombia, including 95%
confidence intervals obtained from a permutation test under the null
hypothesis that there is no spatial correlation (blue-shaded area). The
blue dots fall outside of the confidence bands up to approximately
120–140 km of separation, indicating spatial correlation up to this
distance (confirmed by the geostatistical model) Fig. 3 Estimated variogram for the mixed-effects model residuals
at the municipality level (blue dots) across Colombia, including 95%
confidence intervals obtained from a permutation test under the null
hypothesis that there is no spatial correlation (blue-shaded area). The
blue dots fall outside of the confidence bands up to approximately
120–140 km of separation, indicating spatial correlation up to this
distance (confirmed by the geostatistical model) Exposure to T. solium is known to be greater for indi-
viduals with lower educational levels, those from lower
socioeconomic strata [6, 32] and those facing social
marginalisation [9, 33–35]. Our findings are consistent
with these previously reported findings, with the odds
of displaced people testing positive being almost two-
fold higher than people in the highest socioeconomic
stratum. Internal displacement in Colombia is a major
issue that often involves the poorest and most disad-
vantaged people [36], but if the control of T. solium is to
become comprehensive, displaced people may require
enhanced interventions. Health education could be one
such option for control in specific populations using
tools such as “The Vicious Worm” [37], as there is some
evidence that health education campaigns specific to T. solium can impact transmission [38]. It is, however, likely
that to achieve substantial, sustained reductions in the
prevalence of T. solium or elimination, particularly in
highly endemic areas, a One Health approach targeting
the whole T. Discussionh being positive compared to the use of a well or cistern,
and dog owners were at significantly increased odds
of testing positive (OR = 1.19, 95% CrI = 1.08–1.31)
than non-owners.Consumption of partially cooked/raw
pork meat once per week was associated with a signifi-
cantly decreased odds of testing positive (OR: 0.59, 95%
CrI: 0.36 – 0.90) compared to no consumption. Place of
residence, occupation, frequency of washing vegetables,
excreta elimination and owning animals other than dogs
(including pigs) were not significantly associated with
testing positive for T. solium cysticercus antibodies. being positive compared to the use of a well or cistern,
and dog owners were at significantly increased odds
of testing positive (OR = 1.19, 95% CrI = 1.08–1.31)
than non-owners.Consumption of partially cooked/raw
pork meat once per week was associated with a signifi-
cantly decreased odds of testing positive (OR: 0.59, 95%
CrI: 0.36 – 0.90) compared to no consumption. Place of
residence, occupation, frequency of washing vegetables,
excreta elimination and owning animals other than dogs
(including pigs) were not significantly associated with
testing positive for T. solium cysticercus antibodies. The 2008–2010 Colombian cysticercosis serosurvey
generated unique and unprecedented information on
exposure to T. solium cysticercosis at a national scale. The work presented here extends the original analysis
of these data [14] by using contemporary geostatisti-
cal techniques to evaluate individual-level risk factors
associated with seropositivity to T. solium cysticerci
and, simultaneously, spatial clustering at a sub-national
(municipality) scale. The results contribute important Galipó et al. Parasites & Vectors (2021) 14:590 Page 9 of 15 Page 9 of 15 0.0
0.5
1.0
0
50
100
150
200
250
Distance (km)
semivariance
Fig. 3 Estimated variogram for the mixed-effects model residuals
at the municipality level (blue dots) across Colombia, including 95%
confidence intervals obtained from a permutation test under the null
hypothesis that there is no spatial correlation (blue-shaded area). The
blue dots fall outside of the confidence bands up to approximately
120–140 km of separation, indicating spatial correlation up to this
distance (confirmed by the geostatistical model) 0.0
0.5
1.0
0
50
100
150
200
250
Distance (km)
semivariance be considered as an indicator of lifetime prior exposure. Praet et al. [31] explored age-dependent dynamics of T. solium cysticercus antibody positivity in more depth by
fitting mathematical models to similar age–seropreva-
lence data collected in Ecuador. Discussionh solium system, including infections in pigs,
humans and the environment, will be required [39, 40],
as recently shown by intervention trials in Peru and Zam-
bia [41, 42]. information on factors associated with exposure to T. solium cysticerci. They also indicate that similar large-
scale epidemiological surveys will be needed if hyper-
endemic foci of transmission are to be identified and
targeted for intensified interventions in 17 endemic
countries, as per the WHO’s 2021–2030 NTD roadmap
targets for taeniasis/cysticercosis [22]. Here, and in the original analysis of these data [14],
women were more likely than men to be positive for T. solium cysticercus antibodies. This finding is consistent
with the results of numerous other studies undertaken
in Latin America [2, 9, 23–27]; by contrast, in other
endemic regions, such as sub-Saharan Africa, being
male is associated with an increased risk of exposure
[28] and of antigen positivity [29, 30]. The mechanisms
underlying these epidemiological patterns remain
unclear. Different household roles associated with han-
dling household-owned animals, food and water may
be important, although many variables pertaining to
these activities were accounted for in this analysis. Not-
withstanding the underlying cause, women could be an
important target for educational campaigns in Colom-
bia, not just because of their apparent increased risk of
exposure, but also because they are often being respon-
sible for the majority of food handling and preparation
activities, which would be all the more important if
they were also tapeworm carriers.h The only variable related to food and water sources
or hygiene practices that was significantly associated
with seropositivity to T. solium cysticercus antibod-
ies was the use of rainwater. Individuals in households
using rainwater as opposed to water stored in wells or
cisterns had a 1.6-fold higher odds of seropositivity. Waterborne cysticercosis transmission is supported in
the literature, given that the eggs can survive in fresh,
brackish and salt waters [32, 43–45] and can contami-
nate vegetables [45]. Other variables, such as open-field
defecation or the use of unsanitary latrines [46, 47], The trend for increasing seropositivity with age is
unsurprising given that T. solium cysticercus antibodies
probably persist for several years. Seropositivity may thus Galipó et al. Water source Discussionh Parasites & Vectors (2021) 14:590 Page 10 of 15 Table 2 Geostatistical multivariable logistic regression model results: odds of testing positive for Taenia solium cysticercus antibodies
Covariate
Level
OR (95% CrI)
Sociodemographic characteristics
Sex
Male
1
Female
1.29 (1.15–1.46)*
Age group (years)
2–10
1
11–20
1.83 (1.35–2.50)*
21–30
1.96 (1.43–2.72)*
31–40
1.96 (1.42–2.73)*
41–50
2.12 (1.54–2.95)*
51–60
2.00 (1.45–2.80)*
61–64
1.68 (1.16–2.44)*
Residence
Rural
1
Urban
0.84 (0.69–1.02)
Education level
Higher than secondary
1
Partial/complete secondary
1.05 (0.90–1.23)
Partial/complete primary
1.32 (1.11–1.57)*
No education
1.34 (1.04–1.73)*
Occupation
Other occupations
1
Self-employed
1.01 (0.80–1.29)
Employee
1.07 (0.85–1.36)
Farm coordinator
1.09 (0.52–2.11)
Farm labourer
1.06 (0.73–1.52)
Student
1.20 (0.91–1.58)
Housewife/houseman
1.07 (0.86–1.36)
Businessman
1.22 (0.83–1.79)
Farm owner
1.20 (0.89–1.63)
Socioeconomic status
≥ 4
1
3
0.93 (0.57–1.55)
2
1 (0.63–1.64)
1
1.12 (0.70–1.86)
Displaced
2.20 (1.15–4.28)*
Eating habits
Pork consumption
No consumption
1
Well cooked; < once per month
0.92 (0.80–1.06)
Well cooked; once per month
0.94 (0.80–1.11)
Well cooked; once per week
0.85 (0.71–1.03)
Well cooked; > once per week
0.98 (0.76–1.24)
Partially cooked/raw; < once per month
0.85 (0.64–1.11)
Partially cooked/raw; once per month
0.89 (0.58–1.33)
Partially cooked/raw; once per week
0.59 (0.36–0.90)*
Partially cooked/raw; > once per week
0.94 (0.55–1.22)
Water source
Well/cistern
1
Aqueduct
1.06 (0.84–1.33)
Waterway
1.12 (0.88–1.45)
Other sources
1.11 (0.78–1.58)
Rain water
1.60 (1.21–2.13)* Socioeconomic status Socioeconomic status Eating habits
Pork consumption Water source Other sources Page 11 of 15 Galipó et al. Parasites & Vectors (2021) 14:590 Crl Credible interval, OR odds ratio
*Statistically significant
Covariate
Level
OR (95% CrI)
Hygiene practices
Washing vegetables
No consumption
1
Always
1.20 (0.56–2.92)
Occasionally
1.28 (0.60–3.12)
Never
1.17 (0.55–2.86)
Washing hands before a meal
Always
1
Occasionally
1.04 (0.94–1.15)
Never
0.90 (0.71–1.14)
Elimination of excreta
Sanitary conditions
1
In waterway
0.84 (0.55–1.26)
Latrine with well
1.06 (0.90–1.25)
Latrine without well
1.16 (0.82–1.62)
Open field
1.10 (0.85–1.42)
Owning animals
Cattle
Not owning
1
Owning
0.97 (0.76–1.22)
Cats
Not owning
1
Owning
1.07 (0.95–1.20)
Dogs
Not owning
1
Owning
1.19 (1.08–1.31)*
Birds
Not owning
1
Owning
0.96 (0.86–1.07)
Pigs
Not owing
1
Owning ≤ 10 pigs
1.10 (0.93–1.31)
Owning > 10 pigs
0.83 (0.56–1.19) OR (95% CrI) Crl Credible interval, OR odds ratio
*Statistically significant canine meat [51], although this practice is thought to be
extremely rare and not widely reported in Latin America. Moreover, the role of dogs as potential hosts for T. solium
remains somewhat speculative. Discussionh Given the coprophagic
habits of dogs and their close interaction with humans, it
is also possible (and perhaps more likely) that dogs act as
mechanical vectors of T. solium eggs. that one might also expect to be associated with expo-
sure to T. solium were not identified in our analysis as
significant risk factors. We also found that the odds of
seropositivity significantly decreased when individu-
als consumed partially cooked/raw pork meat once per
week, an observation possibly confounded by wealth
(i.e., wealthier individuals consuming more meat). One
might expect that consumption of partially cooked/raw
pork meat would be associated with increased odds of
seropositivity, given that taeniasis (adult tapeworm)
carriers are at risk of autoinfection. However, more
research is needed to understand the relative contribu-
tion of this route of transmission to overall cysticerco-
sis risk [48]. A further striking finding is that among the 10.8%
(n = 3,154) of individuals owning pigs, we did not find a
significantly increased odds of seropositivity, only a non-
significant increase in those owning fewer than 10 pigs
(possibly indicative of smallholder, subsistence farmers,
compared to individuals owning > 10 pigs, which may
represent wealthier farmers). A further sub-analysis of
pig owners (Additional file 1: Text S2) found no associa-
tion between seropositivity and pig management prac-
tices (e.g. free roaming, feeding wastes, drinking free
water, among others). These findings contrast with those
reported in other studies in Latin America and other geo-
graphical settings, in which human cysticercosis has been
associated with owning pigs [2, 33, 52]. Some farming A particularly striking finding of our analysis was
the association between owning dogs and significantly
increased odds of test positivity. Dogs in Asia have been
reported to test positive for T. solium antibodies [49, 50],
potentially implicating them as alternative intermedi-
ate hosts. Transmission to humans has also been sug-
gested to occur via the consumption of raw or uncooked Galipó et al. Parasites & Vectors (2021) 14:590 Page 12 of 15 Page 12 of 15 with > 5000 individuals and a health centre is likely to
have created a bias towards sampling in more densely
populated urban areas. This led to an underrepresen-
tation of rural communities, which may typically have
had less access to health care and possibly lower over-
all health. Discussionh In addition, nine departments were excluded
from sampling (due to logistical and resource con-
straints) and overall, only a relatively small fraction (12%)
of Colombia’s municipalities were sampled (133/1122). Women are highly represented, and this is likely due to
the decision of randomizing only the individuals present
at the interview for inclusion in the study. Also, the data
were collected in 2008–2010, over a decade ago, and may
therefore not reflect precisely contemporary epidemio-
logical conditions. Nonetheless, we believe that, in the
absence of wide-spread national control efforts, the dis-
tribution and endemic situation of T. solium are unlikely
to have changed substantively over the past decade and,
therefore, the data provide a useful snapshot of endemic
conditions across the country. Due to the nature of sur-
veys, other forms of bias and reverse causation are also
possible. practices, such as using waste or water and mix concen-
trate as feed, and the lack of drainage systems were non-
significantly associated with increased seropositivity. However, because this sub-analysis was based on a much
smaller sample (n = 3154) with only 388 seropositive
individuals, there was limited power to detect significant
associations. In addition to exploring individual and household risk
factors associated with exposure to T. solium, our geo-
statistical approach enabled identification of spatial clus-
ters where seropositivity was higher, so-called hotspots
(in the north and south of Colombia), or lower (in the
central and western areas of the country) than could be
explained by the included covariates (Fig. 2). Hotspots
where seropositivity was higher than could be explained
by the covariates coincided with areas with higher sero-
prevalence (16‒40%) in the northern coastal area and
areas bordering Venezuela (Departments of Atlántico,
Magdalena, Cesar, La Guajira), in the northern-central
region (Departments of Antioquia and Bolívar), in Vau-
pés (south-east, bordering Brazil) and in the south, in
regions bordering Peru and Brazil (Department of Ama-
zonas; Fig. 1). Neither human nor pig population density
was explicitly included in the model and, therefore, these
variables could help to explain some of this clustering
(because of the potential for increased contamination of
the environment with T. solium eggs where humans and
pigs are abundant). Discussionh While population densities are het-
erogeneous across Colombia, some of the highest human
population densities are generally found in the north and
north-east of the country [53], alongside the highest pig
population in the Pacific (east costal), Andean (north-
east/north-west) and Caribbean regions (north), as esti-
mated from the Gridded Livestock Database in 2007 [54]. Furthermore, it should be noted that given the level of
spatial analysis, we were only able to detect spatial varia-
tion at the municipality level. Moreover, it cannot be excluded that any of the
encountered associations are confounded by unmeasur-
able or unknown risk factors and that the a priori deci-
sion to drop a certain number of variables might have
increased the model residuals, not including possible
confounders. On the other hand, the unstructured nature
of some variables or the probable collinearity with other
exposures made this choice desirable. Despite the lack of
data concerning some geographical areas in Colombia,
the authors still consider the study outcomes as valu-
able and indicative of the situation of cysticercosis in
the country. In addition, the information provided in the
current study could be further used to build models that
can spatially predict the disease seroprevalence in non-
sampled areas [17], offering a cost-effective tool for deci-
sion-makers in places where direct sampling did not take
place. Local climatic, environmental and ecological conditions
may also play a role in the observed clustering. In a recent
systematic review, Jansen et al. [45] identified that Taenia
spp. eggs can survive in the environment for up to 1 year
in favourable conditions of high humidity, moderate tem-
peratures (5‒25 °C) and presence of surface water. Moreo-
ver, invertebrates, including dung beetles (Ammophorus
rubripes), can also act as mechanical vectors for the dis-
persal of Taenia spp eggs [55, 56]. Hence, it is highly likely
that local conditions—unaccounted for in our statistical
model—will influence spatial patterns of exposure. Mapping the distribution and seroprevalence of T. solium in endemic countries is a crucial next step in
realising the WHO’s goals of implementing intensified
control in hyperendemic areas of 17 countries by 2030
[22]. Currently, country-wide data on the transmission
of T. solium, such as those analysed here for Colombia,
are scarce, and thus there is a great deal of work to be
done to identify hyperendemic areas in which to imple-
ment intensified interventions. Author details 1 Department of Epidemiological Sciences, Animal and Plant Health Agency,
New Haw, Addlestone, Surrey, UK. 2 Department of Pathobiology and Popula‑
tion Sciences and London Centre for Neglected Tropical Disease Research,
Royal Veterinary College, Hatfield, UK. 3 Department of Infectious Disease
Epidemiology and London Centre for Neglected Tropical Disease Research,
School of Public Health, Imperial College London, London, UK. 4 Medical
Research Centre for Global Infectious Disease Analysis, School of Public Health,
Imperial College London, London, UK. 5 Schistosomiasis Control Initiative (SCI)
Foundation, Edinburgh House, 170 Kennington Lane, Lambeth, London SE11
5DP, UK. 6 Centre for Health Informatics, Computing and Statistics, Lancaster
University, Lancaster, UK. 7 Grupo de Parasitología, Instituto Nacional de Salud,
Bogotá, Colombia. 8 Present Address: Departamento de Epidemiología Clínica,
Pontificia Universidad Javeriana, Bogotá, Colombia. 1.
World Health Organisation. Taenia solium Taeniasis/cysticercosis diagnos‑
tic tools. 2016. Report of a stakeholder meeting, Geneva, 17–18 Decem‑
ber 2015. https://apps.who.int/iris/bitstream/handle/10665/206543/
9789241510516_eng.pdf. Accessed 24 Oct 2021. Conclusions Taeniasis/cysticercosis is a major public health problem
and an important cause of epilepsy and other neurologi-
cal sequelae in many regions of the world. The WHO aims
to target this zoonotic NTD with enhanced control where
transmission is most intense, although epidemiological data
at national and subnational scales remain scarce. The 2008–
2010 baseline epidemiological survey undertaken by the
Colombian government remains unprecedented in scale and
geographical coverage, generating data that are unique and
provide a highly valuable resource for understanding the spa-
tial epidemiology of T. solium cysticercosis. By taking a con-
temporary geostatistical approach, we have highlighted key
associations between human cysticercosis antibody seropos-
itivity and individual- and household-level risk factors, while
also identifying spatial hotspots of exposure, unexplained
by the measured covariates. These findings could be used
to inform the design of intervention strategies in Colombia,
such as targeting spatial hotspots and more highly exposed
groups (such as displaced people and women), and also to
illustrate how important geostatistical modelling will be as a
tool to inform and support the WHO NTD roadmap in its
2021–2030 goals for taeniasis/cysticercosis. Availability of data and materials The data that support the findings of this study are available from the Instituto
Nacional de Salud (Bogotá, Colombia) but restrictions apply to the availability
of these data, which were used under licence for the current study, and so
are not publicly available. Data are however available from the authors upon
reasonable request and with permission of Instituto Nacional de Salud. Funding MAD, ZMC and MGB acknowledge funding from the Medical Research Council
(MRC) Centre for Global Infectious Disease Analysis (reference MR/R015600/1),
jointly funded by the UK MRC and the UK Foreign, Commonwealth & Develop‑
ment Office (FCDO), under the MRC/FCDO Concordat agreement and is also
part of the European and Developing Countries Clinical Trials Partnership
(EDCTP2) programme supported by the European Union. MAD has also been
funded by a Medical Research Council Doctoral Training Partnership (MRC
DTP) research studentship to support this work. The funders had no role in
study design, data collection and analysis, decision to publish, or preparation
of the manuscript. Consent for publication
Not applicable. Consent for publication
Not applicable. Consent for publication
Not applicable. Competing interests
ll
h
d
l
h All authors declare they do not have conflicts of interest. Acknowledgements
Not applicable Acknowledgements
Not applicable Acknowledgements
Not applicable parameterized to identify likely areas of high transmis-
sion using Geographical Information System (GIS) data
that have comprehensive global coverage. Although our
study focused on the identification of risk factors asso-
ciated with exposure to T. solium and residual degrees
of spatial clustering, similar geostatistical and machine
learning approaches can be used that focus on predict-
ing the spatial distribution of disease using GIS data
[17]. Such approaches, conducted at national and global
scales, will be crucial in assisting progress towards the
WHO’s 2030 goals [22, 58]. Supplementary Information The online version contains supplementary material available at https://doi.
org/10.1186/s13071-021-05092-8. Additional file 1: Table S1. Notation of parameters used for model build‑
ing (analysis of residual spatial correlation) and incorporation of spatial
structure. Table S2. Seroprevalence of Taenia solium cysticercus antibodies
in Colombia. Table S3. Distribution of seropositive individuals, crude odds
ratios (ORs) of testing positive for Taenia solium cysticercus antibodies by
ELISA and associated 95% confidence intervals (CIs) from the univariate
mixed-effects model. Table S4. Distribution of seropositive individuals,
multivariable mixed-effects logistic regression adjusted ORs of testing
positive for Taenia solium cysticercus antibodies by ELISA and associated
CIs. Table S5. Pig management sub-set analysis (n = 3154). Pig manage‑
ment practices, distribution of seropositive individuals, crude odds ratios
(ORs) of testing positive for Taenia solium cysticercus antibodies by ELISA
and associated 95% CIs. Figure S1. Map displaying the sampled munici‑
palities in Colombia (2008–2010). Text S1. Supplementary methods. Text
S2. Results: pig management sub-analysis Received: 1 September 2021 Accepted: 8 November 2021 Authors’ contributions ACFS and the work group at Grupo de Parasitología (Instituto Nacional de
Salud, Colombia) conceived the original study idea, participated in the design
of the study and were involved in field implementation and data collection. MAD, CF, EG, MW and MGB were involved in data analysis and interpretation. MAD, CF and EG prepared the draft manuscript. EG, MAD, CF, ZMC, MGB, KS,
ACFS and MW read and edited draft versions of the manuscript and approved
the final manuscript. Discussionh Moreover, although
working definitions of ‘hyperendemicity’ have been pro-
posed [57], there is not yet a consensus on the definition
of endemicity levels for T. solium infection. Geostatisti-
cal approaches will play an important role in identifying
areas of high transmission, particularly if they can be l
Although the serosurvey data analysed here are unique
in presenting a picture of exposure to T. solium cysticer-
cosis at a national scale, geographical coverage is incom-
plete and the sampling approach may have introduced
some biases. In particular, the selection of municipalities Galipó et al. Parasites & Vectors (2021) 14:590 Galipó et al. Parasites & Vectors (2021) 14:590 Page 13 of 15 Page 13 of 15 Ethics approval and consent to participate Ethical approval for the original study (Flórez Sánchez et al. [14]) was obtained
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G, et al. Evidence for potential elimination of active Taenia solium trans‑
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neurocysticercosis on the tropical island, Bali, Indonesia. Parasit Vectors. 2015;8:148. •
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Relationship between Parenting Style and Academic Achievement among Iranian Adolescents in Sirjan
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Asian social science
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Asian Social Science Asian Social Science Vol. 8, No. 1; January 2012 www.ccsenet.org/ass Relationship between Parenting Style and Academic Achievement
among Iranian Adolescents in Sirjan Mansor Abu Talib
Department of Human Development & Family Studies
Faculty of Human Ecology, University Putra Malaysia (UPM), Malaysia
Tel: 60-1-9337-5422 E-mail: mansorat@putra.upm.edu.my Received: May 26, 2011
doi:10.5539/ass.v8n1p156 Received: May 26, 2011 Accepted: July 29, 2011 Published: January 1, 2012
doi:10.5539/ass.v8n1p156 URL: http://dx.doi.org/10.5539/ass.v8n1p156 Received: May 26, 2011 Accepted: July 29, 2011 Published: January 1, 2012
doi:10.5539/ass.v8n1p156 URL: http://dx.doi.org/10.5539/ass.v8n1p156 Abstract The purpose of the present study was to determine the relationship between parenting styles and academic
achievement among adolescents in Iran. The respondents were 382 high school adolescents (251 female and 131
male) in the age range of 15 to 18 years old from selected high schools in Iran. The instrument used to measure
parenting style was the parenting style scale by Baumrind (1991). The result of the study indicated that
authoritative parenting style has positive significant correlation with academic achievement, while permissive
parenting style has negative correlation with academic achievement. The result of the study also showed that
there is no significant relationship between authoritarian parenting style and academic achievement. The results
of the present study implied that academic achievement among adolescents can be enhanced through positive
parenting style. Thus, it is recommended that parents be equipped with knowledge and skills appropriate to the
needs and development of their adolescents children. Keywords: Parenting style, Academic achievement, Adolescences 1. Introduction The education system is very important for all country, and Iran is not exception; strong and effective education
can help boost the development of the country. Researchers (Mehrafrooz, 2004; Sabouri, 2008) have indicated a
problem of low academic achievement among the students in Iran. According to Mozaffari (2001), about 27% of
high school students in Iran have low academic achievement. Low academic achievement may create many
negative consequences for students. Students with low academic achievement may be more vulnerable to ISSN 1911-2017 E-ISSN 1911-2025 ISSN 1911-2017 E-ISSN 1911-2025 ISSN 1911-2017 E-ISSN 1911-2025 156 Vol. 8, No. 1; January 2012 Asian Social Science www.ccsenet.org/ass problems such as stress, hopelessness, delinquency, psychopathology, and substance abuse (Assarian, Biqam &
Asqarnejad, 2006). Therefore, it is essential to investigate factors that may influence academic achievement
amongst school going adolescents in Iran. The findings will be an input to agencies and professionals that
provide programs or services to promote adolescents/high school students’ development, specifically in the
academic aspect. problems such as stress, hopelessness, delinquency, psychopathology, and substance abuse (Assarian, Biqam &
Asqarnejad, 2006). Therefore, it is essential to investigate factors that may influence academic achievement
amongst school going adolescents in Iran. The findings will be an input to agencies and professionals that
provide programs or services to promote adolescents/high school students’ development, specifically in the
academic aspect. Various factors have been examined in relation to students’ academic achievements. These factors ranged from
family socioeconomic status, family structure, family functioning, peer association, to school and educational
environment (Olige, 2008). Past studies (examples: Chao, 2001; Querido et al., 2002) have shown that parents,
through their parenting styles built critical foundations for various aspects of children’s development and
achievement. Jacobs and Harvey (2005) indicated that parenting style is one of the significant contributors to
student’s academic achievement in school. Spera (2005) asserted that parenting styles emphasizes on the
response parents provide to their children and the method which parents used to demand compliance from their
children. Baumrind (2005) categorized types of parenting style based on two dimensions which are
responsiveness and demandingness. According to Baumrind, responsiveness refers to the degree that parents
promote self-assertion and individuality by showing care and acceptance to children’s desires. Care and
acceptance includes kindness, support for independence, and logical contact. Demandingness refers to demands
that parents make on children to be included into society (Baumrind, 2005). 2. Objective The aim of present study is to determine the relationship between three types of parenting styles (authoritative,
authoritarian and permissive) and academic achievement among adolescents in Sirjan, Iran. 1. Introduction The demands are imposed through
monitoring and controlling of children’s behaviors, as well as communicating the demands directly to the
children. The combination of the levels of responsiveness and demandingness creates three types of parenting styles:
authoritarian, authoritative and permissive (Baumrind, 2005). Authoritarian parents are highly demanding and
unresponsive, and tend to emphasize obedience and respect for authority. Permissive parents have low levels of
demandingness and high levels of responsiveness, and moderately imbalance in leniency. In contrast,
authoritative parents show a sense of balance between high levels of demandingness and high levels of
responsiveness. Parents who are authoritative will communicate with their children, monitor their children’s
behaviors, and express warmth and support their children’s needs and challenges. Past studies showed that authoritarian parenting is related low academic achievement (Attaway & Bry, 2004)
and higher levels of school problem (Roche, Ensminger, & Cherlin, 2007). Permissive parenting was also found
to significantly correlate with academic achievement (Lee, 2006; Roche, Ensminger, & Cherlin, 2007). This
means that parents with too high or too low demandingness and responsiveness have children with low academic
achievement. Past studies have established a positive correlation between authoritative parenting style and
academic achievement (Slaten, 2006; Roche et al., 2007; Simons & Conger, 2007; Pong, Johnston & Chen,
2009). Students with better academic achievement have parents who are more authoritative. 3. Methodology 3.1 Design, sample and procedure The present study is cross-sectional in nature. The sample consists of 382 high school students aged between 15
and 18 years old from twelve high schools in Sirjan-Iran. Respondents were selected by using stratified random
sampling technique. The data for the present study were collected using a self-administered questionnaire. 3 2 Measure Published by Canadian Center of Science and Education 5. Discussion and conclusion The results of Pearson correlation analysis showed that authoritative style had a positive and significant
influence on academic achievement among adolescents. Adolescents who had parent with authoritative style
were more successful in school. The results are consistent with Park and Bauer (2002), Attaway and Bry (2004),
Gonzalez-DeHass et al., (2005), Slaten (2006), Roche et al. (2007), Simons and Conger (2007) and Ling Pong et
al. (2009) which found that authoritative parenting style promote school achievement. Durkin (1995) highlighted
three reasons for the association between authoritative parenting and high school achievement. First, he
recommended that parents with authoritative style give emotional security to their children with a sense of calm
and autonomy, and also, they assist their children to be successful in school activities. Second, he cited that
parents with authoritative style explain the consequences of their children’s actions. Explanations give children a
sense of knowledge and understanding of their parents’ principles, desires, and goals that are associated to
school context. Thirdly, he suggested that authoritative parents involve in reciprocal contact with their children. Authoritative parents support their children, encourage them to do well academically, and explain the need for
education in order to become a successful adult. Thus, children growing up in the authoritative environment have
better overall well-being and higher performance in school related activities (Baumrind, 1991). The finding also indicated that there was a significant negative relationship between permissive parenting styles
and academic achievement indicating that adolescents who had parent with permissive style had lower academic
achievement in school compared to other adolescents. This result is in line with the previous finding by Roche et
al. (2007) who showed that levels of permissive parenting was significantly related with academic strain. Parents
with permissive style allow their children to have free control of their behaviors and actions. Parents are more
passive and give little input in many important decisions made by adolescents. Therefore, it is likely that
adolescents from highly permissive environment do not have clear rules and expectations for high achievement,
which consequently may lead to low achievement motivation and poor academic performance among
adolescents. In contrast, there was no significant relationship between authoritarian parenting style and school
achievement. The present finding is similar to the findings by Kim and Rohner (2002), Park and Bauer (2002),
and Olige (2008). Authoritarian parents tend to practice rigid and high level of monitoring. 4.2 Correlations between variables Table 3 displays the correlation matrix for variables in the present study. The findings of Pearson Correlation
analyses indicated a significant correlation between authoritative parenting style (r=.24, p<.01) and permissive
parenting style (r= -.16, p<.01) with academic achievement. However, there was no significant relationship
between authoritarian parenting style (r=-.037, p>.05) and academic achievement. 3.2 Measure Parenting style. The Parenting Style Scale developed by Baumrind (1991) consisted of 30 items was used to
assess parenting styles. This scale has three dimensions that are authoritative parenting style (10 items),
authoritarian parenting styles (10 items), and permissive parenting style (10 items). Adolescents rated their
parent on the items using a five-point scale ranging from 1(strongly disagree) to 5(strongly agree). The scale
scores are from 10 to 50 for each dimension with high score indicating a high level of parenting style in each
dimension. The Cronbach alpha values for the parenting style subscales in the present study are as follows:
authoritative (.82), authoritarian (.82), and permissive (.70). Examples of items in the scale are “as I was growing
up, once family policy had been established”, “my mother/father discussed the reasoning behind the policy with
the children in the family”, “whenever my mother/ father told me to do something as I was growing up, she/he
expected me to do it immediately without asking any questions” and “as I was growing up my mother/father did 157 Published by Canadian Center of Science and Education Vol. 8, No. 1; January 2012 Asian Social Science www.ccsenet.org/ass not feel that I needed to obey rules and regulations of behavior simply because someone in authority had
established them”. not feel that I needed to obey rules and regulations of behavior simply because someone in authority had
established them”. Academic achievement. Academic achievement score was assessed by computing the student’s average grade
points for one year. For each course work, the academic point is 0 to 20. The grade points are categorized into
four levels: Grade D= 0-9.99 (failed), grade C = 10-14.99 (weak), grade B = 15-16.99 (moderate), and grade A =
17-20 (excellent). 4.1 Descriptive findings The age of the high school students in the present study was 15 to 18 years old (mean=15.80, standard
deviation=1.44). Majority of them (66.75%) were 15 to 16 years old and 33.25% of them were 17 to18 years old. More than half of the respondents (65.6%) were female and 34.4% of them were male. The means and standard
deviations for authoritative style, authoritarian style, permissive style, and academic achievement are presented
in Table 1. The mean score for authoritative style was 38.9, for authoritarian style was 28.37, and for permissive
style was 29.92. The mean score for academic achievement was 17.28. Table 2 presents the distribution of
respondents by categories of parenting style and academic achievement. Majority of the respondents (75.4%)
had parent with authoritative style. Based on the total score, more than 50% of the respondents reported to have
excellent academic achievement. 4. Result Descriptive statistics was employed to describe the variables of the study. Pearson correlation analysis was used
to examine the association between parenting style and academic achievement. References Assarian, F., Biqam, H. & Asqarnejad, A. (2006). An epidemiological study of obsessive compulsive disorder
among high school students and its relationship with religious attitudes. Archives of Iranian Medicine, 9 (2),
104–107. Assarian, F., Biqam, H. & Asqarnejad, A. (2006). An epidemiological study of obsessive compulsive disorder
among high school students and its relationship with religious attitudes. Archives of Iranian Medicine, 9 (2),
104–107. Attaway, N. M. & Bry, H. B. (2004). Parenting style and black adolescents’ academic achievement. Journal of
Black Psychology, 2(30), 229-247. http://dx.doi.org/10.1177/0095798403260720 Baharudin, R., Yaacob, S.N., Kahar, R. & Muhamed, A.A. (2003). Dinamik keluarga dan pencapaian anak (In
Malay). Serdang, Selangor: Penerbit Universiti Putra Malaysia. Baumrind, D. (1991). Parenting styles and adolescent development. In J. Brooks-Gunn, R. Lerner, and A. C. Peterson (Eds.), The encyclopedia of adolescence (pp. 746-758). New York: Garland. Baumrind, D. (2005). Patterns of parental authority and adolescent autonomy. In J. Smetana (Ed.) New
directions for child development: Changes in parental authority during adolescence (pp. 61-69). A San
Francisco: Jossey-Bass. Chan, J. J. (2009). Relation of parental, teacher and peer support to academic achievement. School Psychology
International, 29(2), 183-198. http://dx.doi.org/10.1177/0143034308090059 Chao, R.K. (2001). Extending research on the consequences of parenting style for Chinese Americans and
European Americans. Child Development, 72, 1832-1843. http://dx.doi.org/10.1111/1467-8624.00381 Cooper, H., Lindsay, J. J. & Nye, B. (2000). Homework in the home: How student, family, and parenting style
differences relate to the homework process. Contemporary Educational Psychology, 25(4), 464-487. http://dx.doi.org/10.1006/ceps.1999.1036 Durkin, K. (1995). Developmental social psychology: From infancy to old age. Malden, MA: Blackwe Fang, P., Xiong, D. & Guo, C. Y. (2003). The effect of parenting styles on children’s academic achievement. Journal of Psychological Science China, 26 (12), 78-81. http://dx.doi.org/10.1177/1069397110366935 Gonzalez-Pienda, J. A., Nunez, J. C., Gonzalez-Pumariega, S., Alvarez, L., Roces, C. & Garcia, M. (2002). A
structural equation model of parental involvement, motivation and attitudinal characteristics, and academic
achievement. Journal
of
Experimental
Education,
70(3),
257-289. http://dx.doi.org/10.1080/00220970209599509 Jacobs, N. & Harvey, D. (2005). Do parents make a difference to children’s academic achievement? Differences
between parents of higher and lower achieving students. Journal of Educational Studies, 31(4), 431-448. http://dx.doi.org/10.1080/03055690500415746 Kim, K. & Rohner, R. P. (2002). Parental Warmth, Control, and Involvement in Schooling: Predicting Academic
Achievement among Korean American Adolescents. Journal of Cross-Cultural Psychology, 33(2), 127-140. http://dx.doi.org/10.1177/0022022102033002001 Lee, S.M., Daniels, M. H. & Kissinger, D. B. (2006). Parental Influences on Adolescent Adjustment. Family
Journal, 14(3), 253-259. http://dx.doi.org/10.1177/1066480706287654 Mehrafrooz, H. (2004). 5. Discussion and conclusion Rigid monitoring
may demotivate adolescent and children to succeed (Cooper et al., 2000). However, these characteristics do not
have any relation to academic achievement amongst high school adolescents in the present study. ISSN 1911-2017 E-ISSN 1911-2025 ISSN 1911-2017 E-ISSN 1911-2025 ISSN 1911-2017 E-ISSN 1911-2025 158 Vol. 8, No. 1; January 2012 Asian Social Science www.ccsenet.org/ass In conclusion, the findings of the present study implied that parents play a significant role in determining the
level of academic achievement among adolescents. Thus, it is essential that parents are equipped with
appropriate knowledge and skills so that they can provide better guidance for their adolescents’ positive
development, especially in academic achievement. References Relationship between parenting style and academic achievement in children’s Iranian. (Unpublished master’s theses, Azad University of Iran). Mozaffari, M. R. (2001). Rate of affective-family and educational problems between Shaheds’high school
students and none Shaheds’high school students in Iran. Organization Education of Kerman. Olige, I. C. (2008). Parental influences on student academic achievement. (Doctoral dissertation, Capella
University). [Online] Available: http://proquest.umi.com Park. H. & Bauer, S. (2002). Achievement in adolescents parenting practices, ethnicity, socioeconomic status
and academic. School Psychology International, 23(4), 386-396. http://dx.doi.org/10.1177/0143034302234002 Pong, S., Johnston, J. & Chen, V. (2010). Authoritarian parenting and Asian adolescent school performance:
Insights from the US and Taiwan. International Journal of Behavior Development, 34(1), 62-72. http://dx.doi.org/10.1177/0165025409345073 159 Published by Canadian Center of Science and Education Vol. 8, No. 1; January 2012 Asian Social Science www.ccsenet.org/ass Querido, J. G., Warner, T. D. & Eyberg, S. M. (2002). Parenting styles and child behavior in African American
families of preschool children. Journal of Clinical Child and Adolescent psychology, 31, 272-277. Roche, K. M., Ensminger, M. E. & Cherlin, A. J. (2007). Parenting style and adolescent outcomes among
African and Latino families living in low income. Journal of Family Issue, 11(23), 882-909. http://dx.doi.org/10.1177/0192513X07299617 Sabouri, P. (2008). Relationship between parenting style and academic achievement. (Unpublished doctoral
dissertation, Azad University of Iran). Simons, G. L. & Conger, R. D. (2007). Linking father-mother differences in parenting to a typology of parenting
style
and
adolescent
outcomes. Journal
of
Family
Issue,
28(2),
212-241. http://dx.doi.org/10.1177/0192513X06294593 Slaten, C. D. (2006). The effect of parenting style and family structure on academic achievement in rural setting. (Doctoral dissertation, Truman State University). [Online] Available: http://proquest.umi.com Spera, C. (2005). A review of the relationship among parenting practices, parenting styles, and adolescent school
achievement. Educational Psychology Review, 17(2), 126-146. http://dx.doi.org/10.1007/s10648-005-3950-1 Spera, C. (2005). A review of the relationship among parenting practices, parenting styles, and adolescent school
achievement. Educational Psychology Review, 17(2), 126-146. http://dx.doi.org/10.1007/s10648-005-3950-1 Table 1. Mean and standard deviation for main variables
Variable
Mean
SD
Minimum
Maximum
Authoritative style
38.09
6.46
11
48
Authoritarian style
28.37
6.46
12
46
Permissive style
29.92
6.35
13
49
Academic achievement
17.28
2.32
11
20
Table 2. Distribution of respondents by categories of parenting style and academic achievement
Variables
N
%
Parenting style
Authoritative style
288
75.4
Authoritarian style
52
13.6
Permissive style
42
11
Academic achievement
Excellent
297
77.7
Medium
34
8.9
Weak
51
13.4
Fail
0
0
Table 3. References Correlation matrix for all the variables
Variables
2
3
4
1
Academic achievement
-
.244**
-.037
-.16**
2
Authoritative style
-
-.254**
.248**
3
Authoritarian style
-
-.243**
4
Permissive style
- 160 ISSN 1911-2017 E-ISSN 1911-2025
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https://www.frontiersin.org/articles/10.3389/fbuil.2022.904483/pdf
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English
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Coastal Natural and Nature-Based Features: International Guidelines for Flood Risk Management
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Frontiers in built environment
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PERSPECTIVE
published: 11 May 2022
doi: 10.3389/fbuil.2022.904483 PERSPECTIVE Coastal Natural and Nature-Based
Features: International Guidelines for
Flood Risk Management Todd S. Bridges 1, Jane McKee Smith 1*, Jeffrey K. King 1, Jonathan D. Simm 2, Maria Dillard 3,
Jurre deVries 4, Denise Reed 5, Candice D. Piercy 1, Boris van Zanten 6, Katie Arkema 7,8,
Todd Swannack 1, Harry de Looff 4, Quirijn Lodder 4, Claire Jeuken 9, Nigel Ponte 10,
Joseph Z. Gailani 1, Paula Whitfield 11, Enda Murphy 12, Ryan J. Lowe 13, Elizabeth McLeod 14,
Safra Altman 1, Colette Cairns 11, Burton C. Suedel 1 and Larissa A. Naylor 15 Todd S. Bridges 1, Jane McKee Smith 1*, Jeffrey K. King 1, Jonathan D. Simm 2, Maria Dillard 3,
Jurre deVries 4, Denise Reed 5, Candice D. Piercy 1, Boris van Zanten 6, Katie Arkema 7,8,
Todd Swannack 1, Harry de Looff 4, Quirijn Lodder 4, Claire Jeuken 9, Nigel Ponte 10,
Joseph Z. Gailani 1, Paula Whitfield 11, Enda Murphy 12, Ryan J. Lowe 13, Elizabeth McLeod 14,
Safra Altman 1, Colette Cairns 11, Burton C. Suedel 1 and Larissa A. Naylor 15 1US Army Corps of Engineers, Vicksburg, MS, United States, 2HR Wallingford, Wallingford, United Kingdom, 3National Institute of
Standards and Technology, Gaithersburg, MD, United States, 4Rijkswaterstaat, Rijswijk, Netherlands, 5Department of Earth and
Environmental Sciences, University of New Orleans, New Orleans, LA, United States, 6World Bank, Washington, DC,
United States, 7Pacific Northwest National Laboratory, Richland, WA, United States, 8University of Washington, Seattle, WA,
United States, 9Deltares USA Inc., Silver Spring, MD, United States, 10Jacobs, London, United Kingdom, 11National Oceanic and
Atmospheric Administration, Silver Spring, MD, United States, 12National Research Council Canada, Ottawa, ON, Canada,
13Oceans Graduate School, The University of Western Australia, Perth, WA, Australia, 14The Nature Conservancy, Arlington, VA,
United States, 15University of Glasgow, Glasgow, United Kingdom Keywords: natural and nature-based features, flood risk management, reefs, islands, vegetation, wetlands,
beaches, dunes Received: 25 March 2022
Accepted: 25 April 2022
Published: 11 May 2022 Received: 25 March 2022
Accepted: 25 April 2022
Published: 11 May 2022 Edited by:
Barbara Zanuttigh,
University of Bologna, Italy Natural and nature-based features (NNBF) have been used for more than 100 years as
coastal protection infrastructure (e.g., beach nourishment projects). The application of
NNBF has grown steadily in recent years with the goal of realizing both coastal engineering
and environment and social co-benefits through projects that have the potential to adapt to
the changing climate. Technical advancements in support of NNBF are increasingly the
subject of peer-reviewed literature, and guidance has been published by numerous
organizations to inform technical practice for specific types of nature-based solutions. The International Guidelines on Natural and Nature-Based Features for Flood Risk
Management was recently published to provide a comprehensive guide that draws
directly on the growing body of knowledge and practitioner experience from around
the world to inform the process of conceptualizing, planning, designing, engineering, and
operating NNBF. These Guidelines focus on the role of nature-based solutions and natural
infrastructure (beaches, dunes, wetlands and plant systems, islands, reefs) as a part of
coastal and riverine flood risk management. In addition to describing each of the NNBF
types, their use, design, implementation, and maintenance, the guidelines describe
general principles for employing NNBF, stakeholder engagement, monitoring, costs
and benefits, and adaptive management. An overall systems approach is taken to
planning and implementation of NNBF. The guidelines were developed to support
decision-makers, project managers, and practitioners in conceptualizing, planning,
designing, engineering, implementing, and maintaining sustainable systems for nature-
based flood risk management. This paper summarizes key concepts and highlights
challenges and areas of future research. Reviewed by:
Leopoldo Franco,
Roma Tre University, Italy *Correspondence:
Jane McKee Smith
jane.m.smith@usace.army.mil Specialty section:
This article was submitted to
Coastal and Offshore Engineering,
a section of the journal
Frontiers in Built Environment Citation: Bridges TS, Smith JM, King JK,
Simm JD, Dillard M, deVries J, Reed D,
Piercy CD, van Zanten B, Arkema K,
Swannack T, de Looff H, Lodder Q,
Jeuken C, Ponte N, Gailani JZ,
Whitfield P, Murphy E, Lowe RJ,
McLeod E, Altman S, Cairns C,
Suedel BC and Naylor LA (2022)
Coastal Natural and Nature-Based
Features: International Guidelines for
Flood Risk Management. Front. Built Environ. 8:904483. doi: 10.3389/fbuil.2022.904483 May 2022 | Volume 8 | Article 904483 Frontiers in Built Environment | www.frontiersin.org 1 Coastal NNBF Guidelines Bridges et al. INTRODUCTION international growing body of knowledge and experience,
consolidating and expanding to provide a systems approach as
well as descriptions of fundamental processes and engineering
tools. The guide is not a step-by-step design manual, but instead
informs the process of conceptualizing, planning, designing,
engineering, and operating NNBF based FRM systems. Coastal flood risk management (FRM) reduces future flood
damages and erosion by constructing structural measures
(seawalls, breakwaters, and revetments), applying natural and
nature-based features (NNBF) (beaches, dunes, islands, wetlands,
and reefs), and using non-structural measures (coastal retreat). Natural landscapes and features have always contributed to
coastal flood resilience. Keen interest in NNBF approaches is
driven by the desire for long-term risk mitigation, increased
resilience of coastal communities and ecosystems, reduced
maintenance,
and
increased
value
of
FRM
investments
(Bridges et al., 2015). NNBF use landscape features to reduce
flood risk while providing additional economic, social, and
environmental co-benefits. NNBF can be used alone, in
combination,
or
with
conventional
coastal
protection
infrastructure to reduce flood risk. The use of NNBF in an
FRM system depends on the FRM goals, geographic setting,
temporal/spatial scales, and other factors. This paper reviews
the coastal NNBF content of the recently published International
Guidelines on Natural and Nature-Based Features for Flood Risk
Management (Bridges et al., 2021). Figure 1 provides an overview
of the content and concepts of the guidelines within a system
context. This unique, comprehensive guide draws on the Climate change is a major challenge of our time (IPCC, 2021). To
address this challenge, NNBF provide flexibility, adaptability, and co-
benefits that hard infrastructures alone lack. Innovation is required to
expand the knowledge and application of NNBF for practical
application, and policies are needed to guide and expand the use
of NNBF. NNBF research and application is multidisciplinary,
requiring collaboration, coordination, and partnerships across
disciplines and stakeholders for success. This paper summarizes
NNBF principles; systems approach; performance, benefits, and
costs; coastal NNBF systems; enhancing structural measures; and
knowledge gaps and research needs. NATURAL AND NATURE-BASED
FEATURES PERFORMANCE, BENEFITS,
AND COSTS Performance of NNBF projects can be challenging to document
because the system is dynamic and some benefits accrue slowly (e.g.,
beach fill adjustments, colonization of flora and fauna) (Piercy et al.,
2021b). Performance of an NNBF project is the ability to meet
desired outcomes as measured by a set of metrics. Metrics are specific
parameters or properties of the NNBF that are quantifiable and
associated with desired aspects of performance. Metrics include
direct and indirect measurements and are assessed based on
predetermined performance criteria. Sources of uncertainty in
NNBF performance are similar to structural measures, although
natural variability in NNBF is greater. Monitoring metrics should be
chosen to capture the most critical project aspects. Periodic
assessment at a frequency commensurate with nature dynamism
are required over the project life cycle. Both NNBF and structural
measures need better assessment of long-term failure rates (fragility)
and maintenance costs. FRM and ecological, social, and economic
performance of NNBF are interrelated, and proper ecological
function of NNBF is critical to FRM, social, and economic
functions. There are several interrelated categories of performance
related to NNBF: NNBF projects require a deeper commitment to engagement
than other types of projects (Dillard et al., 2021). The engagement
process should be iterative, flexible, and feed into all phases of the
project (defining the problem, developing/evaluating alternatives,
maintenance, monitoring, and evaluation). Engagement should
include all who are interested in, have influence over, or are
impacted by the project, and these stakeholders should be
involved
early
and
kept
informed
throughout. Strong
engagement increases the likelihood of multiple benefits and
beneficiaries. NNBF projects should include an engagement
plan (focused on project objectives) with resources to carry it
out. NNBF projects generally evolve in different ways and rates
than conventional, hard infrastructure, so communication with
stakeholders about expectations is key (e.g., features may erode
during storms and need maintenance; and protection may be
subaqueous and not easily visible). Engagements should be
planned (objectives, context, resources, methods), documented,
and evaluated, but also flexible and adaptive. Stakeholders can
assist in successfully involving press, politics, and the broader
community. • FRM—reduction of physical forces that produce flooding
and damages for the full range of possible events (system
and structural performance). • Ecological—production
of
desired
ecological
function
(ecosystem goods and services). PRINCIPLES Applying NNBF to FRM projects is similar to standard
engineering approaches, but emphasizes a multidisciplinary,
systems approach. Key NNBF principles are (Bridges et al., 2021): FIGURE 1 | Contents and concepts of NNBF guidelines within a systems context (Bridges et al., 2021). FIGURE 1 | Contents and concepts of NNBF guidelines within a systems context (Bridges et al., 2021). May 2022 | Volume 8 | Article 904483 Frontiers in Built Environment | www.frontiersin.org Frontiers in Built Environment | www.frontiersin.org 2 Coastal NNBF Guidelines Bridges et al. • Expect change and manage adaptively engagement with stakeholders. NNBF solutions evolve and
develop over time and space (e.g., accretion of sediment and
growth and succession of vegetation). A systems perspective is
used to implement a large-scale system or integrate effects of
small or standalone projects as part of a larger FRM effort. Since
some aspects and applications of NNBF are new, there are limited
examples of mature projects. It is important to document case
studies to help mainstream the application of NNBF and
highlight the potential for wide-ranging benefits. • Use a systems approach to leverage existing components
and projects and their interconnectivity • Engage communities, partners, and multidisciplinary team
members to develop innovative solutions and monitor
social, economic, and environmental outcomes • Anticipate, evaluate, and manage risk in project or system
performance The International Guidelines includes a project framework for
NNBF applications (King et al., 2021). The design process is
iterative and may require revisiting previous phases based on new
data or information. Desirable outcomes are identified at each
phase: scoping (stakeholder engagement/commitment), planning
(funding,
benefits),
decision
making
(option
selection),
implementation
(approvals,
optimization),
and
operations
(monitoring/adaption). Frontiers in Built Environment | www.frontiersin.org SYSTEMS APPROACH TO PLANNING AND
IMPLEMENTING NATURAL AND
NATURE-BASED FEATURES • Social—social co-benefits include health, well-being, and
equity, as well as recreational, cultural, and educational
benefits. A systems approach is needed to define, characterize, and manage
multifunctional and sustainable NNBF solutions (de Vries et al.,
2021). The
interplay
of
ecology,
geomorphology,
and
hydrodynamics
with
communities
and
engineering
infrastructure provides the context of the system. Evaluating
FRM solutions requires assessing physical, biological, and
social processes and their interaction and synergies. Holistic,
system-wide solutions can be explored through collaboration
of
people
with
different
perspectives
and
disciplines
to
accelerate
identification
and
implementation
of
suitable,
resilient, and well-functioning solutions. Systems thinking is
needed to evaluate the variety of ecosystem benefits, multiple
potential
outcomes,
multifunctional
design,
and
direct • Economic—reduction in economic damages and value
(ecological, social, and FRM) produced by the NNBF. NNBF project performance should be considered over the entire
project life cycle, including present and future conditions. NNBF
performance may deteriorate with time and require maintenance to
preserve
function
(e.g.,
beach/dune
renourishment). Unlike
structural measures, NNBF may naturally adapt to future
conditions (e.g., through marsh sedimentation or vertical growth
of oyster or coral reefs), and performance may improve over time. Performance concepts also apply to natural features existing within
projects. Performance measurement/monitoring is key to adaptive
management (de Loof et al. 2021). May 2022 | Volume 8 | Article 904483 Frontiers in Built Environment | www.frontiersin.org 3 Coastal NNBF Guidelines Bridges et al. The goal of protecting, restoring, and advancing NNBF is to
reduce flood risk and erosion, adapt to climate change, and build
coastal resilience (van Zanten et al., 2021). Additionally, NNBF
produces ecological, social, and economic co-benefits that vary with
local conditions and stakeholder values. Evaluating NNBF alongside
structural alternatives requires evaluating relative costs and benefits,
including both flood risk reduction and co-benefits. Flood and
erosion risk reduction is achieved via different processes depending
on the type of NNBF, including trapping sediment, wave damping,
and water storage. Advances in numerical modeling have increased
the capacity to value NNBF risk reduction benefits. Co-benefits
include habitat for fisheries, opportunities for tourism and
recreation, carbon sequestration, and human health benefits
(Barbier et al., 2011). Agencies and stakeholders define shared
objectives and develop performance standards that capture
economic, social, and ecological benefits of implementing NNBF. Guidance is needed to better incorporate co-benefits into
assessment of alternatives and monitoring of outcomes. Coastal Wetlands and Plant Systems Coastal Wetlands and Plant Systems
Wetlands and intertidal areas dampen waves and surge and trap
sediments (Piercy et al., 2021a). Wetlands provide tens of
thousands
to
millions
of
US
dollars
in
flood
damage
reduction/km2/yr, depending on location and configuration
(Sun and Carson, 2020). These features provide co-benefits
including fish production, filtration of pollutants, water-quality
mediation,
recreation,
and
carbon
sequestration. Coastal
wetlands and tidal flats reduce coastal flood and erosion risk
with raised bed levels and frictional resistance to attenuate waves
and surge. NNBF projects include conservation of existing
wetlands, restoration of degraded wetlands, or construction of
new wetlands and may be combined with other structural or
NNBF measures. Wetland performance is controlled by location,
coastline geometry, and storm characteristics. Significant wave
reduction can occur within relatively narrow feature widths (10’s
of meters), while reduction of surge requires greater cross-shore
extents (100–1,000’s of meters) (Piercy et al., 2021a). In some
configurations, coastal wetlands may serve as flood storage areas
to reduce water levels in estuarine environments. Coastal wetland
NNBF projects draw on extensive experience in restoration of
marshes and mangroves which has created thousands of hectares
worldwide over recent decades. The performance of wetland and
tidal flat NNBF projects may vary over time as vegetation
establishes
and
develops. Designs
should
consider
storm
damage, recovery, and maintenance requirements. Wetlands
have the potential to be self-sustaining under climate change if
there is sufficient sediment for accretion and space to adapt. NATURAL AND NATURE-BASED
FEATURES IN COASTAL SYSTEMS Coastal NNBF creates or recreates natural habitats, enhances
existing habitats, uses more-organic materials, and enhances
existing
hard
infrastructure
(Simm,
2021). The
coastal
landscape provides risk mitigation and is the foundation that
supports structural measures. FRM systems may be single lines or
multilayer, multizone cross-shore systems with both structural
and NNBF elements. The coastal environment is in continual
change, both cyclical and continuous, e.g., nonstationary waves
(varying energy, frequency, and direction) and water levels (tides,
surge, sea level rise (SLR)), evolving cross-shore profile and
shoreline, and growing population and development. Coastal
NNBF
includes
beaches
and
dunes,
wetlands
and
plant
systems, islands, and reefs. The maturity of knowledge about
application
of
different
features
varies
significantly. The
international NNBF guidelines describe these features in detail,
including a conceptual understanding; objectives and metrics;
design; implementation; monitoring, maintenance, and adaption;
and gaps and future directions. Extensive case studies, examples,
and references are provided. SYSTEMS APPROACH TO PLANNING AND
IMPLEMENTING NATURAL AND
NATURE-BASED FEATURES Multiple
valuation approaches and metrics can be used to assess benefits and
social vulnerability outcomes qualitatively and quantitatively, and
different metrics and decision-support tools are suitable for
different
audiences. Societal
benefits
can
be
assessed
by
combining hazard analysis with maps of social indicators to
estimate the number of people and critical infrastructure at risk
and compare risk reduction benefits from NNBF. Co-benefits may
expand funding and financing options. The costs in the total
lifecycle
of
NNBF
projects
include:
planning;
design
and
permitting; land acquisition; creation, protection or restoration;
and monitoring and maintenance. resource, and provide habitat for diverse species (Lodder et al.,
2021). They reduce land loss and flooding while providing
recreational and environmental benefits. Beaches are acted on
by wind and hydrodynamic processes (waves, currents, and water
levels). Dunes accumulate wind-blown sand and are stabilized by
vegetation or control structures and naturally buffer against
flooding during extreme events. The shape and size of beaches
and dunes are a function of geology, geomorphology, wind and
wave regime, and tidal range. A sustainable beach and dune
system requires sufficient sediment sources (longshore and cross-
shore) and appropriate flora and fauna. Beach and dune design typically aligns with the natural
system,
particularly
regarding
grain
size,
to
reduce
maintenance. Design should allow for beach profile dynamism,
focusing design on elevation, volume, slope, and width. Sediment
budgets and modeling of hydrodynamic and sediment processes
aid understanding of the physical system dynamics to determine
scale and feasibility of projects. Designs must consider past and
future scenarios, including socioeconomic development and
climate change impacts (SLR, storm frequency and intensity). Management requirements, strategies, and monitoring must be
part of the design. Innovative sand placement techniques tap
nature to enhance coastal resilience (e.g., nearshore placement to
winnow fines, sand fencing to build dunes). Beaches and dunes
can gradually adapt to climate change when supplied with enough
sediment and space to adjust. Maintenance can be adapted over
time to respond to system nonstationary. Beaches and Dunes Beaches are dynamic coastal landforms, constitute a natural
transition between land and sea, are an amenity and economic May 2022 | Volume 8 | Article 904483 Frontiers in Built Environment | www.frontiersin.org 4 Coastal NNBF Guidelines Bridges et al. including fisheries, habitat and biodiversity, recreation and
tourism, and improved water quality. Reef organisms in a
healthy system produce calcium carbonate that is a source of
sand nourishment to adjacent beaches. Design and construction of
a NNBF reef should mimic the natural geomorphology of a pre-
existing or existing reef platform to favor biological growth, and
materials should be compatible with those in the surrounding
environment. Adaptive management is needed to support reef
resilience in the context of global environmental change. Natural
and engineered reefs can be self-sustaining ecosystems, continuing
to grow and maintain a structure to keep pace with SLR, if the reef
accretion rate exceeds the rate of SLR. Understanding the coastal
protection services of reefs and quantifying how they reduce risk
are required to effectively use reefs in coastal climate adaptation
and hazard mitigation strategies. Submerged aquatic vegetation (SAV), kelp, dune grass, wetland
vegetation, mangroves, and maritime forests are examples of coastal
plant systems that provide both above and below ground benefits
(Altman et al., 2021). These systems reduce wind, wave, and current
energy and stabilize sediments. The magnitude of wave attenuation
depends on the height of the canopy relative to the total water depth;
stem diameter, rigidity, and density; and plant morphology, as well as
hydrodynamic conditions (waves, currents, water levels). The
protective value is maximized when canopy height is equal or
greater than the water depth. Plants provide ecological benefits,
nursery
habitat
for
fish
and
shellfish,
and
water
quality
improvement. Plant systems complement other NNBF techniques
and should be considered for use in larger NNBF projects that
incorporate multiple features or small-scale projects in low-energy
environments. It is critical to match the plant system to the site. Vegetation habitats are spatially dynamic, and thus robust monitoring
is required to understand their condition and health trajectory. SAV
benefits are optimized in low-energy environments or in conjunction
with other techniques to reduce wave and current energy. The
protective role of coastal dune vegetation is widely acknowledged,
but not extensively quantified. Through their natural ability to protect
shorelines against erosion and flood risk and adjust to SLR, vegetated
systems play an important role in sustainable coastal FRM strategies. Islands Island in estuaries, river deltas, and open-coast environments reduce
the severity of coastal hazards, including erosion and flooding from
waves and extreme water levels (Gailani et al., 2021). They can provide
multiple benefits: storm surge reduction, wave dissipation, erosion
control, dredged material management, safe navigation/harbor,
ecosystem diversity (critical ecosystem function for threatened and
endangered species), recreation, and commercial opportunities. Islands can be newly constructed or restorations of islands
degrading due to SLR, subsidence, or inadequate sediment input. Islands deliver resilience benefits, especially as part of multiple-lines-
of-defense strategies and may be effective where other NNBF methods
are not feasible (urban or high energy areas). The regional influence of
islands thus must be considered (circulation, water quality, sediment
transport, and habitat). Islands are multihabitat features (beach/dune,
wetlands, and upland), and habitat trade-offs are inevitable. Short-
term impacts must be considered within the context of long-term
ecosystem co-benefits and SLR. Uncertainties and risk exist in island
construction due to the complex physical processes. Design and
maintenance of resilient islands requires consideration of the
evolving, dynamic conditions. Beaches and Dunes Plant systems are subject to natural habitat succession, so it is critical to
understand that functional plant-based NNBF may not persist as a
particular habitat type in perpetuity. Changing ocean temperatures
and SLR must be considered in planning for species succession. Reefs provide coastal risk reduction by dissipating waves as
they propagate over shallow, rough reef structures, thus reducing
wave-driven coastal flooding. The effectiveness of reefs depends
on their size, orientation, elevation, and location relative to shore. The reef crest elevation relative to sea level is a key parameter. Reef degradation also decreases wave attenuation as the elevation
and roughness reduce over time. Reefs promote shoreline stability
and play critical roles in protecting and establishing other coastal
habitats (seagrass beds in protected lagoons, mangrove forests,
beach/dune systems). For example, by reducing wave energy and
improving water quality, shellfish reefs can provide suitable
conditions for salt marshes and seagrass beds. These multiple
layers of protection may be the most effective strategy when
habitats are interconnected and functioning together. ENHANCING STRUCTURAL MEASURES Conventional FRM includes structures such as bulkheads,
seawalls, sheet piling, and floodwalls, in addition to levees and
dikes that may combine earthen, rock, and concrete structures. The environmental value of these conventional structures may be
enhanced through inclusion of nature-based elements that
expand their ecological value by enhancing habitat or social
benefits (Suedel et al., 2021). Enhancements through NNBF
take multiple forms and span broad scales and structure types,
from applying small-scale features to create habitat to large
structures
to
dissipate
waves
and
surge. Ecological
enhancements
can
offer
multiple
benefits,
e.g.,
increased
engineering design life and flood risk reduction, habitat
enhancement, improved water quality, and societal benefits
(Naylor et al. 2017). Opportunities to enhance structures occur
at any stage in the design life of a project (new construction,
repair, maintenance, or structure modification). Identifying and
quantifying the value of NNBF enhancement allows costs and
benefits to be compared alongside conventional structures
(Naylor et al. 2018). Engaging stakeholders in the process of
identifying opportunities to enhance value and benefits broadens
the base of support for infrastructure projects and aids in
complying with environmental laws and regulations. The best
opportunity to enhance structures is often during maintenance,
repairs, and modifications to existing structures. Frontiers in Built Environment | www.frontiersin.org Reefs Coral, rock, and shellfish reefs reduce flooding and erosion in
coastal areas by reducing wave energy. For example, coral reefs in
the United States provide more than USD$1.8 billion/yr in flood
risk benefits (Reguero et al., 2021). Many reef-lined coasts act as the
first line of defense against flooding, storm damage, and erosion
(Lowe et al., 2021). Reefs also provide numerous co-benefits, May 2022 | Volume 8 | Article 904483 Frontiers in Built Environment | www.frontiersin.org 5 Coastal NNBF Guidelines Bridges et al. TABLE 1 | Knowledge gaps and research needs. NNBF category
Knowledge gaps
Planning and implementing NNBF using a systems
approach
• Comprehensive systems-thinking lessons learned and case studies, including mature projects
• Evidence base to mainstream systems thinking and NNBF. • Best practices to account for expansive consideration of co-benefits
• Incorporation of multiple spatial and temporal scales and their feedback to support NNBF design and operation
NNBF performance measurement
• Methods/tools to characterize the dynamic nature of NNBF performance
• Performance metrics that describe how individual measures and the FRM system as a whole serve to reduce
inherent and residual risks associated with flood hazards
• Methods to better capture risk evaluation across project life cycles in nonstationary systems
• Holistic quantification and consideration of benefits and co-benefits of NNBF performance and sustainability
Benefits and costs
• Quantitative methods to account for fragility of NNBF to coastal hazards (fragility curves)
• Better alignment between financing models for NNBF and benefit assessment methodologies to unlock
funding sources
• New methodologies to accurately reflect risk reduction and co-benefits of NNBF projects
• Combined field and modeling studies to monitor the long-term social and economic outcomes of NNBF. Frontiers in Built Environment | www.frontiersin.org CONCLUSION The combination of aging infrastructure and climate change is
prompting new thinking and practices regarding FRM strategies,
viewed broadly to include long-term benefits and value, including
economic damages avoided, co-benefits, and greater system
resilience. NNBF solutions are an important part of future FRM
strategies and require a multidisciplinary approach. Effective and
timely implementation of NNBF to address FRM challenges depend
on progress in three overarching areas: developing and delivering,
communicating and collaborating, and elevating and educating. A
systems approach is required to provide a comprehensive vision for
process functions, relationships, and engineering interventions
critical to successful outcomes. Reefs NNBF category
Knowledge gaps
Plant systems
• Collect baseline data on hazard reduction and plant system evolution and resiliency, especially in changing
conditions
• Develop metrics for baseline information such as beach erosion rate and beach profile change to quantify the
contribution of SAV to coastal protection
• Advance use of remote sensing to monitor and evaluate the efficacy of SAV in providing storm protection and
integrate into models
Enhancing benefits
• Widely distributed documentation of existing projects and conduct pilot studies to establish proof of concepts
• Education, training, and tech transfer of case studies and workshops to disseminate best practices and
coordinate of site visits to observe implementation of innovations in practice
• Demonstration projects to demonstrate and document successes in NNBF enhancements on multiple spatial
and temporal scales
• Consider emerging technologies to improve planning and practice: materials, observation methods for
planning and monitoring (e.g., remote sensing), model advancements for evaluating design and project siting
• Novel designs for creating habitat niches for a variety of species and replace conventional hard structures with
hybrid structures
• New materials to reduce carbon dioxide emissions during construction
• Document and proliferate the most valuable advances Knowledge gaps • Collect baseline data on hazard reduction and plant system evolution and resiliency, especially in changing
conditions • Develop metrics for baseline information such as beach erosion rate and beach profile change to quantify the
contribution of SAV to coastal protection • Develop metrics for baseline information such as beach erosion rate and beach profile change to quantify the
contribution of SAV to coastal protection • Advance use of remote sensing to monitor and evaluate the efficacy of SAV in providing storm protection and
integrate into models • Widely distributed documentation of existing projects and conduct pilot studies to establish proof of concepts p
p
• Demonstration projects to demonstrate and document successes in NNBF enhancements on multiple spatial
and temporal scales • Consider emerging technologies to improve planning and practice: materials, observation methods for
planning and monitoring (e.g., remote sensing), model advancements for evaluating design and project siting
• Novel designs for creating habitat niches for a variety of species and replace conventional hard structures with
hybrid structures • Consider emerging technologies to improve planning and practice: materials, observation methods for
planning and monitoring (e.g., remote sensing), model advancements for evaluating design and project siting
• Novel designs for creating habitat niches for a variety of species and replace conventional hard structures with y
• New materials to reduce carbon dioxide emissions during c • Document and proliferate the most valuable advances DATA AVAILABILITY STATEMENT The original contributions presented in the study are included in
the article/Supplementary Material, further inquiries can be
directed to the corresponding author. INNOVATION AND RESEARCH NEEDS fully leverage natural systems and functions to address the dynamic
challenges posed by FRM and climate change. Engagement,
communication, and collaboration that bridge the gaps between
technical disciplines, organizations, and the public are fundamental
to successful project development and implementation through
purposeful investment in communications and engagement. Many
environmental and social co-benefits are challenging to quantify but
critical to establishing a project’s value (e.g., biodiversity, social equity). Monitoring and adaptive management of NNBF is critical to the
ultimate success of projects. The International Guidelines on Natural
and Nature-Based Features for Flood Risk Management support
developing and delivering FRM projects that incorporate NNBF to
provide resilient solutions over the long term. Next steps include
developing guiding policy and engineering manuals to support NNBF
design, implementation, and operations. The understanding and acceptance of NNBF for FRM is
increasing quickly, but many knowledge, experience, and
policy gaps remain. NNBF technical research often focuses on
specific features, feature elements, or specific sites; integrating
across such approaches is needed to provide generalized, wide-
ranging solutions. Table 1 summarizes knowledge gaps and
future research areas. Investment in research and development
will inform and fuel future advancements in practice for both
conventional and nature-based approaches to FRM. AUTHOR CONTRIBUTIONS TB contributed to conception and design of the study. JaS wrote the
first draft of the manuscript. TB, JaS, JK, JoS, MD, JV, DR, CP, BZ,
KA, TS, HL, QL, CJ, NP, JG, PW, EM, RL, EM, SA, CC, BS, and LN
contributed to sections of the manuscript. All authors contributed to
manuscript revision, read and approved the submitted version. Expanding the engineering application of NNBF for FRM requires
continued advancement of the supporting interdisciplinary science as
well as advancing policy and economic valuations. Integrative
approaches to FRM that include NNBF measures require advancing
models and modeling practice with respect to natural features,
processes, systems, and uncertainty quantification in the dynamics
of physical and natural systems. Advancement of environmental
regulation and management to conserve and protect natural
systems is also required. These advances build on the growing
recognition of natural values and capital so that communities can Frontiers in Built Environment | www.frontiersin.org Reefs TABLE 1 | (Continued) Knowledge gaps and research needs. NNBF category
Knowledge gaps
Plant systems
• Collect baseline data on hazard reduction and plant system evolution and resiliency, especially in changing
conditions
• Develop metrics for baseline information such as beach erosion rate and beach profile change to quantify the
contribution of SAV to coastal protection
• Advance use of remote sensing to monitor and evaluate the efficacy of SAV in providing storm protection and
integrate into models
Enhancing benefits
• Widely distributed documentation of existing projects and conduct pilot studies to establish proof of concepts
• Education, training, and tech transfer of case studies and workshops to disseminate best practices and
coordinate of site visits to observe implementation of innovations in practice
• Demonstration projects to demonstrate and document successes in NNBF enhancements on multiple spatial
and temporal scales
• Consider emerging technologies to improve planning and practice: materials, observation methods for
planning and monitoring (e.g., remote sensing), model advancements for evaluating design and project siting
• Novel designs for creating habitat niches for a variety of species and replace conventional hard structures with
hybrid structures
• New materials to reduce carbon dioxide emissions during construction
• Document and proliferate the most valuable advances TABLE 1 | (Continued) Knowledge gaps and research needs. TABLE 1 | (Continued) Knowledge gaps and research needs. Reefs • Advanced Earth observation technology to assess and monitor NNBF benefits
Adaptive management
• Community Adaptive-Management definitions and frameworks
• Efforts to improve leadership and stakeholder acceptance of the concept of Adaptive Management
• Flexibility in laws and policy to account for shifting baselines to capture future conditions
• Flexibility in funding to facilitate data collection, analysis, and active adaptive management
Beaches and dunes
• Document evidence base on the long-term performance of beach and dune NNBF for coastal resilience under
a wide range of conditions and environmental settings
• Enhance understanding, uptake and upscaling, and improved implementation of beach and dune NNBF in
coastal resilience projects
• Develop and implement long-term strategies for sustainable coastlines in relation to long-term processes such
as climate change and socioeconomic developments
• Quantify dune vegetation impacts on dune growth, erosion, and long-term sustainability
• Enhance existing beach evolution models for combined hard and soft structures under complex loading
(nonstationary wind, wave, and water level forcing)
Wetlands
• More field and modeling studies to address long-term wetland stability to compare with effectiveness of other
nonstructural and structural measures
• Consistent cost-benefit framework that accounts for full array of benefits, co-benefits, and life-cycle costs
• Expand knowledge base of wetland NNBF performance under different conditions (extreme storms, high water
levels, and SLR)
• Methods/tools to quantify system-scale benefits and co-benefits of wetland NNBF and linkage between
wetland NNBF and other measures
• Improvements to coastal wetland hydrodynamic and sediment models to include wetland NNBF more
accurately and efficiently in modeling scenarios
• Quantify parameters to determine sustainability of marshes
Islands
• Research on combined, complementary effect of multiple habitat types from offshore to onshore in terms of
both short- and long-term benefits to justify larger NNBF island projects
• Quantitative studies of island areas of influences to address habitat switching and potential impacts of island
restoration
• Innovative practices and field experimentation (living labs) to improve understand of island systems
• Regional case studies to illustrate and optimize design, implementation, and maintenance approaches
• Enhance models for long-term erosion and recovery of islands, spanning long and short time and space scales
Reefs
• Methods to optimize performance of reef NNBF to achieve ecological and coastal protection benefits at larger
scales
• Long-term monitoring to understand changes to sources and composition of coastal sediments and long-term
evolution of shorelines protected by reefs
• Advances to support increased survival and fitness of shellfish reared in hatcheries and selective breeding
programs for disease resistance
• Economic studies that account for the full suite of ecosystem benefits that natural reefs provide to incentivize
protection and restoration of coral and shellfish reefs
• Improve and ground truth predictions of reef effectiveness in reducing wave-drive flood risk across a range of Knowledge gaps • Consistent cost-benefit framework that accounts for full array of benefits, co-benefits, and life-cycle costs
• Expand knowledge base of wetland NNBF performance under different conditions (extreme storms, high water
levels, and SLR) • Methods/tools to quantify system-scale benefits and co-benefits of wetland NNBF and linkage between
wetland NNBF and other measures • Improvements to coastal wetland hydrodynamic and sediment models to include wetland NNBF more
accurately and efficiently in modeling scenarios • Quantify parameters to determine sustainability of marshes • Research on combined, complementary effect of multiple habitat types from offshore to onshore in terms of
both short- and long-term benefits to justify larger NNBF island projects • Quantitative studies of island areas of influences to address habitat switching and potential impacts of island
restoration • Innovative practices and field experimentation (living labs) to improve understand of island systems • Innovative practices and field experimentation (living labs) to improve understand of island systems
• Regional case studies to illustrate and optimize design, implementation, and maintenance approaches
• Enhance models for long-term erosion and recovery of islands, spanning long and short time and space scale g
• Regional case studies to illustrate and optimize design, implementation, and maintenance approaches
• Enhance models for long-term erosion and recovery of islands, spanning long and short time and space scales • Methods to optimize performance of reef NNBF to achieve ecological and coastal protection benefits at larger
scales • Long-term monitoring to understand changes to sources and composition of coastal sediments and long-term
evolution of shorelines protected by reefs • Advances to support increased survival and fitness of shellfish reared in hatcheries and selective breeding
programs for disease resistance • Economic studies that account for the full suite of ecosystem benefits that natural reefs provide to incentivize
protection and restoration of coral and shellfish reefs • Additional studies to monitor and document the efficacy of materials used in reef construction • Innovative solutions to accelerate the broader application of reef NNBF, further increase the cost-effectiveness
of designs that are appropriate for a range of local socioeconomic conditions (Continued on following page) (Continued on following page) May 2022 | Volume 8 | Article 904483 6 Coastal NNBF Guidelines Bridges et al. REFERENCES “Adaptive
Management,” in International Guidelines on Natural and Nature-Based
Features for Flood Risk Management. Editors T. S. Bridges, J. K. King,
J. D. Simm, M. W. Beck, G. Collins, Q. Lodder, et al. Vicksburg, MS: U.S. Army Engineer Research and Development Center, 270–318. Naylor, L., Coombes, M., Kippen, H., Horton, B., Gardiner, T., Roca Collell,
M., et al. (2018). “Developing a business case for greening hard coastal and
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International Guidelines on Natural and Nature-Based Features for Flood Risk
Management. Editors T. S. Bridges, J. K. King, J. D. Simm, M. W. Beck,
G. Collins, Q. Lodder, et al. (Vicksburg, MS: U.S. Army Engineer Research and
Development Center), 103–160. Piercy, C. D., Pontee, N., Narayan, S., Davis, J., and Meckley, T. (2021a). “Coastal
Wetlands and Tidal Flats,” in International Guidelines on Natural and Nature-
Based Features for Flood Risk Management. Editors T. S. Bridges, J. K. King,
J. D. Simm, M. W. Beck, G. Collins, Q. Lodder, et al. (Vicksburg, MS: U.S. Army
Engineer Research and Development Center), 413–500. Dillard, M., Brooks, C., Fisher, H., Pietersen, H., and Nijhuis, A. (2021). “Engaging
Communities and Stakeholders in Implementing NNBF,” in International
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G. Collins, Q. Lodder, et al. (Vicksburg, MS: U.S. Army Engineer Research and
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Development Center), 161–202. Gailani, J., Whitfield, P., Murphy, E., Thomson, G., Mears, G., deVries, G., et al. (2021). “Islands,” in International Guidelines on Natural and Nature-Based
Features for Flood Risk Management. Editors T. S. Bridges, J. K. King,
J. D. Simm, M. W. Beck, G. Collins, Q. Lodder, et al. (Vicksburg, MS: U.S. REFERENCES Lodder, Q. C., Jeuken, C., Reinen-Hamill, R., Burns, O., Ramsdell, R., McFall, B., et al. (2021). “Beaches and Dunes,” in International Guidelines on Natural and Nature-
Based Features for Flood Risk Management. Editors T. S. Bridges, J. K. King,
J. D. Simm, M. W. Beck, G. Collins, Q. Lodder, et al. (Vicksburg, MS: U.S. Army
Engineer Research and Development Center), 329–412. Altman, S., Cairns, C., Whitfield, P., Davis, J., Finkbeiner, M., and McFall, B. (2021). “Plant Systems: Submerged Aquatic Vegetation and Kelp,” in
International Guidelines on Natural and Nature-Based Features for Flood
Risk
Management. Editors
T. S. Bridges,
J. K. King,
J. D. Simm,
M. W. Beck, G. Collins, Q. Lodder, et al. Vicksburg, MS: U.S. Army
Engineer Research and Development Center, 363–700. Lowe, R. J., Mc Leod, E., Reguero, B. G., Altman, S., Harris, J., Hancock, B.,
et al. (2021). “Reefs,” in International Guidelines on Natural and Nature-
Based Features for Flood Risk Management. Editors T. S. Bridges,
J. K. King, J. D. Simm, M. W. Beck, G. Collins, Q. Lodder, et al. (Vicksburg,
MS:
U.S. Army
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Center), 559–635. Barbier, E. B., Hacker, S. D., Kennedy, C., Koch, E. W., Stier, A. C., and Silliman, B. R. (2011). The Value of Estuarine and Coastal Ecosystem Services. Ecol. Monogr. 81 (2), 169–193. doi:10.1890/10-1510.1 IPCC (2021). Climate Change 2021: The Physical Science Basis. Contribution
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Delmotte, P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, et al. (Cambridge: Cambridge University Press). T. S. Bridges, J. K. King, J. D. Simm, M. W. Beck, G. Collins, Q. Lodder, et al. (2021). International Guidelines on Natural and Nature-Based Features for Flood Risk
Management (Vicksburg, MS: U.S. Army Engineer Research and Development
Center) Available at: https://ewn.erdc.dren.mil/?page_id=4351. Bridges, T. S., Wagner, P. W., Burks-Copes, K. A., Bates, M. E., Collier, Z. A.,
Fischenich, C. J., et al. (2015). Use of Natural and Nature-Based Features
(NNBF) for Coastal Resilience (Vicksburg, MS: U.S. Army Engineer Research
and Development Center). ERDC SR-15-1. Naylor, L. A., Kippen, H., Coombes, M. A., Horton, B., MacArthur, M., and
Jackson, N. (2017). “Greening the Grey: A Framework for Integrated Green
Grey Infrastructure (IGGI). Technical Report. Glasgow: University of
Glasgow). http://eprints.gla.ac.uk/150672/. de Looff, H., Welp, T., Snider, N., and Wilmink, R. (2021). ACKNOWLEDGMENTS The partner organization of the U.S. Army Corps of Engineers
(USACE), National Oceanic and Atmospheric Administration May 2022 | Volume 8 | Article 904483 Frontiers in Built Environment | www.frontiersin.org 7 Coastal NNBF Guidelines Bridges et al. (University of California, Santa Cruz), Giselle Samonte (NOAA),
Steven Scyphers (Northeastern University), Elizabeth Codner-
Smith (TNC), Stephanie IJff (Deltares), Marin Kress (USACE),
Michele Lemay (Inter-American Development Bank), Tim Welp
(USACE), Natalie Snider (Environmental Defence Fund), Rinse
Wilmink (Rijkswaterstaat), Richard Rienen-Hamil (Tonkin +
Taylor),
Oli
Burns
(EA),
Robert
Ramsdell
(Dredging
Consultant),
Brian
McFall
(USACE),
Corragio
Maglio
(USACE), Jenny Davis (NOAA), Trevor Meckley (NOAA),
Gordon Thomson (Baird), Wendell Mears (Anchor QEA,
LLC), Danielle Szimanski (USACE), Janine Harris (NOAA),
Boze Hancock (TNC), Remment ter Hofstede (Van Oord),
Emma
Rendel
(Resilient
Coasts),
Elizabeth
Shaver
(TNC), Mark Finkbeiner (NOAA), and Jason Bernier (CBCL
Limited). (NOAA), Environment Agency of the United Kingdom (EA),
Rijkswaterstaat, and the World Bank supported this work with
contributions from the National Institute of Standards and
Technology, The Nature Conservancy (TNC), and the World
Wildlife Fund (WWF). Additional contributors include: Cath
Brooks
(EA),
Helen
Fisher
(3KQ),
Hans
Pietersen
(Rijkswaterstaat), Alwin Nijhuis (Rijkswaterstaat), Anita van
Breda (WWF), Susan Durden (USACE), S. Kyle McKay
(USACE), Tjeerd Bouma (Royal Netherlands Institute for Sea
Research Shannon Cunniff (Environmental Defence Fund), Bart
Grasmeijer (Deltares), Pamela Mason (College of William &
Mary),
Alex
Nicholson
(Arup),
Paul
Quinn
(Newcastle
University),
Missaka
Hettiarachchi
(WWF),
Rob
Griffin
(University of Massachusetts-Dartmouth), Siddharth Narayan
(East Carolina University), Kim Penn (NOAA), Borja Reguero (NOAA), Environment Agency of the United Kingdom (EA),
Rijkswaterstaat, and the World Bank supported this work with
contributions from the National Institute of Standards and
Technology, The Nature Conservancy (TNC), and the World
Wildlife Fund (WWF). Additional contributors include: Cath
Brooks
(EA),
Helen
Fisher
(3KQ),
Hans
Pietersen
(Rijkswaterstaat), Alwin Nijhuis (Rijkswaterstaat), Anita van
Breda (WWF), Susan Durden (USACE), S. Kyle McKay
(USACE), Tjeerd Bouma (Royal Netherlands Institute for Sea
Research Shannon Cunniff (Environmental Defence Fund), Bart
Grasmeijer (Deltares), Pamela Mason (College of William &
Mary),
Alex
Nicholson
(Arup),
Paul
Quinn
(Newcastle
University),
Missaka
Hettiarachchi
(WWF),
Rob
Griffin
(University of Massachusetts-Dartmouth), Siddharth Narayan
(East Carolina University), Kim Penn (NOAA), Borja Reguero REFERENCES Army Engineer Research and Development Center), 501–558. Reguero, B. G., Storlazzi, C. D., Gibbs, A. E., Shope, J. B., Cole, A. D.,
Cumming, K. A., et al. (2021). The Value of US Coral Reefs for Flood
Risk Reduction. Nat. Sustain 4, 688–698. doi:10.1038/s41893-021-
00706-6 Simm, J. (2021). “Introduction to NNBF in Coastal Systems,” in International
Guidelines on Natural and Nature-Based Features for Flood Risk Management. Editors T. S. Bridges, J. K. King, J. D. Simm, M. W. Beck, G. Collins, Q. Lodder,
et al. (Vicksburg, MS: U.S. Army Engineer Research and Development Center),
319–328. King, J. K., Simm, J. D., and Bridges, T. S. (2021). “Principles, Framework, and
Outcomes,” in International Guidelines on Natural and Nature-Based Features
for Flood Risk Management. Editors T. S. Bridges, J. K. King, J. D. Simm,
M. W. Beck, G. Collins, Q. Lodder, et al. (Vicksburg, MS: U.S. Army Engineer
Research and Development Center), 19–46. May 2022 | Volume 8 | Article 904483 Frontiers in Built Environment | www.frontiersin.org 8 Bridges et al. Coastal NNBF Guidelines The remaining 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. Suedel, B. C., Naylor, L. A., Meckley, T., Cairns, C., Bernier, J., Morgereth, E., et al. (2021). “Enhancing Structural Measures for Environmental, Social, and
Engineering Benefits,” in International Guidelines on Natural and Nature-
Based Features for Flood Risk Management. Editors T. S. Bridges, J. K. King,
J. D. Simm, M. W. Beck, G. Collins, Q. Lodder, et al. (Vicksburg, MS: U.S. Army
Engineer Research and Development Center), 701–771. 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. Sun, F., and Carson, R. T. (2020). Coastal Wetlands Reduce Property Damage
during Tropical Cyclones. Proc. Natl. Acad. Sci. U.S.A. 117 (11), 5719–5725. doi:10.1073/pnas.1915169117 van Zanten, B., Arkema, K., Swannack, T., Griffin, R., Narayan, S., Penn, K., et al. (2021). “Benefits and Costs of NNBF,” in International Guidelines on Natural
and Nature-Based Features for Flood Risk Management. Editors T. S. Bridges,
J. K. King, J. D. Simm, M. W. Beck, G. Collins, Q. van Zanten, B., Arkema, K., Swannack, T., Griffin, R., Narayan, S., Penn, K., et al.
(2021). “Benefits and Costs of NNBF,” in International Guidelines on Natural
and Nature-Based Features for Flood Risk Management. Editors T. S. Bridges,
J. K. King, J. D. Simm, M. W. Beck, G. Collins, Q. Lodder, et al. (Vicksburg, MS:
U.S. Army Engineer Research and Development Center), 203–269. Frontiers in Built Environment | www.frontiersin.org Conflict of Interest: Author JoS was employed by HR Wallingford, author CJ
was employed by Deltares United States Inc., and author NP was employed by
Jacobs. May 2022 | Volume 8 | Article 904483 REFERENCES Lodder, et al. (Vicksburg, MS:
U.S. Army Engineer Research and Development Center), 203–269. Copyright © 2022 Bridges, Smith, King, Simm, Dillard, deVries, Reed, Piercy, van Zanten,
Arkema, Swannack, de Looff, Lodder, Jeuken, Ponte, Gailani, Whitfield, Murphy, Lowe,
McLeod, Altman, Cairns, Suedel and Naylor. This is an open-access article distributed
under the terms of the Creative Commons Attribution License (CC BY). The use,
distribution or reproduction in other forums is permitted, provided the original author(s)
and the copyright owner(s) are credited and that the original publication in this journal is
cited, in accordance with accepted academic practice. No use, distribution or reproduction
is permitted which does not comply with these terms. Conflict of Interest: Author JoS was employed by HR Wallingford, author CJ
was employed by Deltares United States Inc., and author NP was employed by
Jacobs. May 2022 | Volume 8 | Article 904483 Frontiers in Built Environment | www.frontiersin.org 9
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Endotracheal suctioning in intubated newborns: an integrative literature review
|
Revista brasileira de terapia intensiva
| 2,015
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cc-by
| 6,685
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1. Undergraduate Program in Physical Therapy,
Faculdade de Educação Física e Fisioterapia,
Universidade Federal do Amazonas -
Manaus (AM), Brazil.
2. Residency Program in Physical Therapy in
Neonatal Intensive Care, Universidade Federal
do Amazonas - Manaus (AM), Brazil.
3. Physiotherapy Service, Maternidade Balbina
Mestrinho, Secretaria de Estado de Saúde do
Amazonas - Manaus (AM), Brazil. ABSTRACT review
was
performed,
and
the
recommendations of this study are to
only perform endotracheal suctioning
in newborns when there are signs of
tracheal secretions and to avoid routinely
performing the procedure. In addition,
endotracheal
suctioning
should
be
conducted by at least two people, the
suctioning time should be less than 15
seconds, the negative suction pressure
should be below 100 mmHg, and
hyperoxygenation should not be used on
a routine basis. If indicated, oxygenation
is recommended with an inspired oxygen
fraction value that is 10 to 20% greater
than the value of the previous fraction, and
it should be performed 30 to 60 seconds
before, during and 1 minute after the
procedure. Saline instillation should not
be performed routinely, and the standards
for invasive procedures must be respected. Evidence-based practices search for
the best available scientific evidence to
support problem solving and decision
making. Because of the complexity and
amount of information related to health
care, the results of methodologically sound
scientific papers must be integrated by
performing literature reviews. Although
endotracheal suctioning is the most
frequently performed invasive procedure in
intubated newborns in neonatal intensive
care units, few Brazilian studies of good
methodological quality have examined
this practice, and a national consensus
or standardization of this technique is
lacking. Therefore, the purpose of this
study was to review secondary studies on
the subject to establish recommendations
for endotracheal suctioning in intubated
newborns and promote the adoption of
best-practice concepts when conducting
this procedure. An integrative literature Keywords: Suction/methods;
Respiration, artificial; Infant, newborn Conflicts of interest: None. Submitted on December 8, 2014
Accepted on August 30, 2015
Corresponding author:
Roberta Lins Gonçalves
Faculdade de Educação Física e Fisioterapia da
Universidade Federal do Amazonas
Avenida General Rodrigo Octávio Jordão Ramos,
3.000
Campus Universitário - Coroado I
Zip code: 69077-000 - Manaus (AM), Brazil
E-mail: betalinsfisio@yahoo.com.br
Responsible editor: Ruth Guinsburg
DOI: 10.5935/0103-507X.20150048 Endotracheal suctioning in intubated newborns:
an integrative literature review
Aspiração endotraqueal em recém-nascidos intubados: uma
revisão integrativa da literatura Roberta Lins Gonçalves1,2, Lucila Midori Tsuzuki1,
Marcos Giovanni Santos Carvalho3 Roberta Lins Gonçalves1,2, Lucila Midori Tsuzuki1,
Marcos Giovanni Santos Carvalho3 REVIEW ARTICLE REVIEW ARTICLE REVIEW ARTICLE Corresponding author: ç
Faculdade de Educação Física e Fisioterapia da
Universidade Federal do Amazonas
Avenida General Rodrigo Octávio Jordão Ramos,
3.000 Responsible editor: Ruth Guinsburg Roberta Lins Gonçalves1,2, Lucila Midori Tsuzuki1,
Marcos Giovanni Santos Carvalho3 INTRODUCTION Submitted on December 8, 2014
Accepted on August 30, 2015 Evidence-based practices encourage the use of research results in clinical
practice, and they are based on the search for the best available scientific
evidence to support problem solving and decision making. Because of the
quantity and complexity of information related to health care, the available
evidence must be integrated through the performance of literature reviews. An integrative literature review represents a research method that is used in
evidence-based practice because it allows for the incorporation of evidence into
clinical practice. This method aims to gather and synthesize research findings
on a defined topic or issue in a systematic and orderly manner to contribute
to the deepening of knowledge on the studied subject. Although endotracheal
suctioning in intubated newborns undergoing mechanical ventilation (MV)
is the most invasive procedure performed in neonatal intensive care units Responsible editor: Ruth Guinsburg DOI: 10.5935/0103-507X.20150048 Rev Bras Ter Intensiva. 2015;27(3):284-292 Endotracheal suctioning in intubated newborns 285 (NICU)(1-13) in Brazil, this procedure is not grounded in
the best scientific evidence available. endotracheal suctioning technique in human newborns
undergoing invasive MV. The Cochrane, PEDro and
PubMed databases were searched using the keywords
“infant” and “newborn” and the following related terms
identified in the Medical Subject Headings (MESH)
database: “infants,” “newborn infant,” “newborn infants,”
“newborns,” and “neonate.” In addition, these terms were
combined with the intervention “suction” and the specific
correlates identified in MESH: “suctions,” “aspiration,”
“mechanical,” “aspirations,” “mechanical aspiration,”
“mechanical
aspirations,”
“drainage,”
“drainages,”
“suction drainage,” and “suction drainages.” The searches
of the Cochrane and PubMed databases were performed
combining terms using the Boolean operators “AND”
and “OR.” The PEDro database did not allow the use of
both Boolean operators at the same time; therefore, this
database was searched by an individual combination of
terms and their correlates. i
Newborns in the NICU routinely require MV, which
may be non-invasive through an interface connecting the
individual to the ventilator or invasive (the most common
choice in NICUs) through an inserted endotracheal tube
(ETT) connecting the individual to the ventilator.(1-6) The
presence of the ETT leads to increased mucus production
as a result of mild irritation generated in the airway mucosa,
and it also impairs the ability to mobilize and expectorate
secretions by suppressing the appropriate mucociliary
mechanism and impairing the cough reflex, thus requiring
frequent endotracheal suctioning to prevent secretion
accumulation and airway obstruction.(4) In newborns, ETT
have small internal diameters, which increases the difficulty
of the procedure and increases the risk of complications.(2-4)
ETT suctioning with internal diameters ≤ 4mm can cause
an immediate reduction in dynamic pulmonary compliance
and reduce the expired tidal volume (TV), regardless of lung
pathology.(4) Moreover, inefficient suctioning can result in
the obstruction of the ETT, the need for re-intubation and
atelectasis, and a reduction in ventilation and oxygenation.(2) The selection of articles was based on the combination
of patient-infant or -newborn and intervention-suction
for newborns undergoing invasive MV, and the following
clinical issues were addressed: frequency, duration, probe
diameter, hyperoxygenation, negative suction pressure,
saline instillation, number of repetitions, extraction time,
absolute contraindications and biosecurity standards. RESULTS The search resulted in 93 publications (57 from
Cochrane, 19 from PEDro and 17 from PubMed), which
were analyzed according to the desired criteria. Of these,
89 articles were excluded for not addressing endotracheal
suctioning in newborns or because they were not systematic
reviews with or without meta-analyses or guidelines. Of
the included studies, one was available on both the PEDro
and PubMed databases (duplicate). Thus, four articles
(four guidelines) remained, and they were included and
analyzed in this integrative review as shown in table 1. The
proposed results and the evidence level of each study are
shown in table 2. Studies that were not consistent with the
established search criteria, such as studies in Portuguese,
but that were relevant to the subject under discussion were
analyzed and used as a basis for discussion; however, they
did not contribute to this study’s recommendations. Therefore, the purpose of this study was to review
secondary studies on the subject of endotracheal suctioning
to establish recommendations for intubated newborns
and encourage the adoption of best-practice concepts
when conducting this procedure and the incorporation of
scientific evidence into clinical practice. Responsible editor: Ruth Guinsburg Articles that explicitly defined the evidence level of each
analyzed parameter were retained according to the evidence
level and recommendation grade proposed by the Cardiology
Commission (Comissão de Cardiologia); these grades are
based on evidence from the Brazilian Society of Cardiology
(Sociedade Brasileira de Cardiologia) and Brazilian Medical
Association (Associação Médica Brasileira). Endotracheal suctioning is a manual mechanical
technique for the removal of secretions from individuals
who cannot properly remove pulmonary, tracheobronchial
and/or oropharyngeal secretions. This procedure is routinely
used in patients who require artificial airways and MV,(1-6)
and it consists of introducing a sterile flexible tube through
the airway and applying sub-atmospheric pressure at the
time of its removal to suck out the secretions.(1-19) Despite the
clinical importance of this technique, few methodologically
sound Brazilian studies have been performed on this
subject, and there is a lack of national consensus and clinical
standardization regarding various points of the technique. Certain Brazilian services perform endotracheal suctioning
in newborns according to criteria based on institutional
routines or even the professional’s individual practice,
which increases the chance of complications.h Rev Bras Ter Intensiva. 2015;27(3):284-292 Data regarding hyperoxygenation
in NB are limited. Therefore,
care must be taken when using
oxygenation on this population METHODS Negative suction
pressure
60 - 80 mmHg
Saline instillation
Not stated
Number of repetitions
There is controversy regarding
the excessive use of this
procedure
Suctioning time
When clinically indicated
Absolute
contraindication
Not stated for intubated NB
Biosafety standards
CDC guidelines for standard
precautions should be respect Table 1 - Relevant aspects of the evaluated articles
Title, year of publication
and source
Nasotracheal Suctioning - 2004
Revision & Update, 2004,
Respiratory Care(10)
ERNBG Guideline - Suction
February 2006. Review: February
2006 Eastern Regional Neonatal
Benchmarking Group Suctioning
Guideline(9)
Hyperoxygenation
before, during and after
the procedure
Not stated
Pre-oxygenation should not
be performed unless SpO2 has
dropped Table 1 - Relevant aspects of the evaluated articles Endotracheal suctioning of
mechanically ventilated patients with
artificial airways, 2010, Respiratory
Care(6) ERNBG Guideline - Suction
February 2006. Review: February
2006 Eastern Regional Neonatal
Benchmarking Group Suctioning
Guideline(9)
Pre-oxygenation should not
be performed unless SpO2 has
dropped Endotracheal suctioning of
mechanically ventilated patients with
artificial airways, 2010, Respiratory
Care(6) Evidence-based guideline
for suctioning the intubated
neonate and infant, 2009,
Neonatal Network(2) Pre-oxygenation is suggested if the
patient presents a clinically relevant
reduction in SpO2 with suctioning Pre-oxygenation should not
be performed unless SpO2 has
dropped Evidence-based guideline
for suctioning the intubated
neonate and infant, 2009,
Neonatal Network(2) Evidence-based guideline
for suctioning the intubated
neonate and infant, 2009,
Neonatal Network(2) METHODS This paper presents an integrative review of secondary
studies (guidelines and systematic reviews, with or
without meta-analysis) published in English between
2000 and 2013. The goal was evaluate the open system Rev Bras Ter Intensiva. 2015;27(3):284-292 286 Gonçalves RL, Tsuzuki LM, Carvalho MG Table 1 - Relevant aspects of the evaluated articles
Title, year of publication
and source
Nasotracheal Suctioning - 2004
Revision & Update, 2004,
Respiratory Care(10)
ERNBG Guideline - Suction
February 2006. Review: Febru
2006 Eastern Regional Neona
Benchmarking Group Suctioni
Guideline(9)
Hyperoxygenation
before, during and after
the procedure
Not stated
Pre-oxygenation should not
be performed unless SpO2 ha
dropped
Characteristics of the
suctioning probe
The probe should be sterile,
flexible, with various lateral
orifices and one frontal one
The probe must be measured
prior to the procedure to
ensure that the probe does no
overshoot the end of the ETT
The diameter of the probe
should not exceed 50% of the
internal diameter of the ETT
Suctioning time
Must be limited to 15 secs. Must be limited to 10 - 15 se
Negative suction
pressure
60 - 80 mmHg
50 - 100mmHg
Saline instillation
Not stated
Use limited to NB whose
secretions may obstruct airw
Number of repetitions
There is controversy regarding
the excessive use of this
procedure
Normally, one or two attempt
are sufficient for cleaning
secretions
Suctioning time
When clinically indicated
When the need for the
procedure is identified
Absolute
contraindication
Not stated for intubated NB
Not stated
Biosafety standards
CDC guidelines for standard
precautions should be respected
Not stated
SpO - peripheral capillary oxygen saturation; FiO - inspired oxygenation fraction; NB - Newborn; ETT - Table 1 - Relevant aspects of the evaluated articles
Title, year of publication
and source
Nasotracheal Suctioning - 2004
Revision & Update, 2004,
Respiratory Care(10)
Hyperoxygenation
before, during and after
the procedure
Not stated
Characteristics of the
suctioning probe
The probe should be sterile,
flexible, with various lateral
orifices and one frontal one
Suctioning time
Must be limited to 15 secs. Evidence level 2B In NB a 10% increase in FiO2 is
recommended before suctioning,
especially in hypoxemic NB patients
Characteristics of the
suctioning probe
The probe should be sterile,
flexible, with various lateral
orifices and one frontal one
The probe must be measured
prior to the procedure to
ensure that the probe does not
overshoot the end of the ETT
The diameter of the probe
should not exceed 50% of the
internal diameter of the ETT
The diameter of the probe
should be less than 50% of the
ETT diameter
Evidence level V
Probes bigger than 6 F should
not be used for suctioning in a
2.5 ETT
Evidence level V
The probe diameter should not
occlude more than 70% of the light in
the ETT in small children
Evidence level 2C
Suctioning time
Must be limited to 15 secs. Must be limited to 10 - 15 secs. Must be limited to 15 secs. Evidence level V
Must be limited to 15 secs. Evidence level 2C
Negative suction
pressure
60 - 80 mmHg
50 - 100mmHg
Must not exceed 100 mmHg
Evidence level V
Suctioning should be applied
only when removing the probe
Evidence level 3
80 - 100mmHg. Saline instillation
Not stated
Use limited to NB whose
secretions may obstruct airways
Should not be performed
routinely
Evidence level IV
Should not be performed routinely
Evidence level 2C
Number of repetitions
There is controversy regarding
the excessive use of this
procedure
Normally, one or two attempts
are sufficient for cleaning
secretions
Should not exceed three
repetitions when suctioning
Not stated
Suctioning time
When clinically indicated
When the need for the
procedure is identified
When the need for the
procedure is identified
Evidence level I
Only when there is secretion and not
routinely
Evidence level 1C
Absolute
contraindication
Not stated for intubated NB
Not stated
Not stated
There is no absolute contraindication
Biosafety standards
CDC guidelines for standard
precautions should be respected
Not stated
Not stated
CDC guidelines for standard
precautions should be respected
SpO2 - peripheral capillary oxygen saturation; FiO2 - inspired oxygenation fraction; NB - Newborn; ETT - endotracheal tube; CDC - Center for Disease Control and Prevention. The diameter of the probe
should be less than 50% of the
ETT diameter Endotracheal suctioning of
mechanically ventilated patients with
artificial airways, 2010, Respiratory
Care(6) The probe should be sterile,
flexible, with various lateral
orifices and one frontal one Evidence level V SpO2 - peripheral capillary oxygen saturation; FiO2 - inspired oxygenation fraction; NB - newborn; ETT - endotracheal tube; CDC - Center for Disease Control and Prevention; ICP - intracranial pressure. DISCUSSION TV release when in limited pressure ventilation mode;
and improves arterial blood gas and oxygen saturation
(SpO2) values.(6,10) However, many institutions attempt
to maintain airway patency in intubated individuals
by adopting protocols that include the routine use of
endotracheal suctioning without evaluating whether the
procedure is necessary. These protocols are primarily based
on the care ritual than on evidence of the clinical need for
suctioning. TV release when in limited pressure ventilation mode;
and improves arterial blood gas and oxygen saturation
(SpO2) values.(6,10) However, many institutions attempt
to maintain airway patency in intubated individuals
by adopting protocols that include the routine use of
endotracheal suctioning without evaluating whether the
procedure is necessary. These protocols are primarily based
on the care ritual than on evidence of the clinical need for
suctioning. Endotracheal suctioning in intubated newborns
undergoing MV is a procedure that is routinely performed
by physiotherapists, doctors, nurses, and also by nursing
technicians in Brazil as a component of the resuscitation
procedure and bronchial hygiene therapy.(1-20) The goal
is to maintain airway patency and facilitate ventilation
and oxygenation.(1-6) However, this technique has specific
indications and adverse effects. Proper standardization,
clear indications for use and definitions of the procedure
all serve to minimize complications. All of the studies included in this review described
the technique as mandatory, i.e., that it should be
performed whenever necessary because the accumulation
of tracheobronchial secretions may impair ventilation
and oxygenation; lead to ETT occlusion, atelectasis and
increased respiratory work; and predispose the individual
to pulmonary infection.(2,3,6,8-10,15-28) However, one of
the most controversial issues regarding endotracheal
suctioning in neonates is the precise time and frequency
at which the technique should be performed on intubated
individuals. Evidence level V Rev Bras Ter Intensiva. 2015;27(3):284-292 Endotracheal suctioning in intubated newborns 287 Table 2 - Recommendations for endotracheal suctioning in intubated newborns
Clinical issue
Recommendation
Articles in
agreement (%)
Evidence level
Hyperoxygenation
Hyperoxygenation should not be incorporated into the suctioning routine. If there is a drop
in SpO2 with suctioning, hyperoxygenation should be established by increasing the FIO2
value 10 to 20% above that prior to suctioning 30 to 60 seconds before, during and 1
minute after the procedure
50
2B
Suctioning probe diameter
Probe diameter must not exceed 50% of ETT diameter
50
2C
Suctioning duration
Must not exceed 15 seconds
100
2C
Negative suction pressure
Must be between 50 and 100mmHg
75
3C
Saline instillation
Must not be performed routinely
75
2C
Number of repetitions
Must not exceed 3 repetitions. The NB should be connected to the ventilator between
suctions
25
-
Suctioning time
Suctioning must not be performed routinely and should only be performed where clinically
indicated. Clinical indications primarily include lung auscultation (coughing, coarse or
reduced breathing) or visible secretions in the ETT, audible secretions, drop in SpO2,
decreased chest excursion, changes in blood gas values, changes in respiratory rate
and/or breathing pattern, bradycardia/tachycardia and/or agitation without other cause,
and increased peak pressure on the ventilator
100
1C
Biosafety standards
CDC guidelines should be respected, including the following: protection of the
professional's eye, nose and mouth protection with the use of face mask and goggles,
use of apron and sterile gloves, and performance of hand hygiene before and after
performing the procedure. To increase safety, the procedure must be performed by at
least two people
50
-
Monitoring
The following variables should be monitored before, during and after the procedure:
SpO2; skin coloring, respiratory frequency; respiratory pattern; hemodynamic variables (if
monitored), such as heart rate, blood pressure, heart rhythm and ICP; suctioned secretion
characteristics, such as color, volume, consistency and odor; cough characteristics;
ventilatory parameters, such as peak inspiratory pressure and plateau pressure; current
volume; flow; exhaled volume; and FiO2
100
-
SpO2 - peripheral capillary oxygen saturation; FiO2 - inspired oxygenation fraction; NB - newborn; ETT - endotracheal tube; CDC - Center for Disease Control and Prevention; ICP - intracranial pressure. Table 2 - Recommendations for endotracheal suctioning in intubated newborns inspired oxygenation fraction; NB - newborn; ETT - endotracheal tube; CDC - Center for Disease Control and Prevention; ICP - intracranial pressure. DISCUSSION Hyperoxygenation occurs
when the inspired oxygen fraction (FiO2) is administered
at a higher percentage than what was delivered prior to
suctioning at values reaching up to 100%.(2) Although
hyperoxygenation is widely used in clinical practice to avoid
hypoxemia, half of the authors examined in this review
suggest that hyperoxygenation should not be conducted
routinely but rather when the newborn has a clinically
relevant reduction in SpO2 during suctioning.(6,9) This
recommendation was based on the adverse effects caused by
excess oxygen, even when applied for short periods of time,
in newborns, such as hypercapnia, atelectasis by absorption,
retinopathy of prematurity, alveolar and tracheobronchial
changes, lung parenchyma, and especially oxidative stress,
which leads to inflammatory responses, particularly in
preterm newborns that do not have fully functioning
antioxidant mechanisms.(9,17) Although there was a lack of
consensus regarding hyperoxygenation in newborns, most
of the studies in favor of this procedure agreed that the FiO2
rate should remain between 10 - 20% above the level prior
to endotracheal suctioning.(15,16) To prevent hypoxemia in
newborns, an increase of 20% in FiO2 relative to that prior
to suctioning is likely as effective as hyperoxygenation with
100% FiO2.(14-16) Studies have even suggested that for most
newborns, it is only necessary to increase the FiO2 value by
10% relative to the pre-suctioning value.(20-22) There were no absolute contraindications for
endotracheal suctioning in newborns, which was most
likely because of the mandatory nature of the procedure. Most of the articles did not address this issue and only one
study indicated the lack of absolute contraindications for
endotracheal suctioning in newborns.(7) In clinical practice,
endotracheal suctioning is avoided in newborns 15 to 30
minutes after surfactant administration.(28) In special cases,
such as uncontrolled intracranial hypertension, additional
measures to control intracranial pressure (ICP) must be
adopted prior to endotracheal suctioning in newborns.h With regard to whether FiO2 should be increased
before or after endotracheal suctioning, there was no
consensus and not all of the studies reported this variable. DISCUSSION Endotracheal suctioning is an important element of care
for newborns admitted to the NICU because most of these
patients require invasive MV and repeated and frequent
suctioning for the removal of tracheal secretions.(2,4,8,9,12,20-29)
According to the American Association of Respiratory
Care (AARC), proper suctioning in intubated individuals
improves gas exchange and respiratory sounds; decreases
airway resistance and peak inspiratory pressure of the
ventilator; improves dynamic compliance; increases the Endotracheal suctioning is an important element of care
for newborns admitted to the NICU because most of these
patients require invasive MV and repeated and frequent
suctioning for the removal of tracheal secretions.(2,4,8,9,12,20-29) According to the American Association of Respiratory
Care (AARC), proper suctioning in intubated individuals
improves gas exchange and respiratory sounds; decreases
airway resistance and peak inspiratory pressure of the
ventilator; improves dynamic compliance; increases the Rev Bras Ter Intensiva. 2015;27(3):284-292 Rev Bras Ter Intensiva. 2015;27(3):284-292 288 Gonçalves RL, Tsuzuki LM, Carvalho MG increased ICP and pneumothorax.(8) Evidence has shown
that these adverse effects can be minimized or eliminated
by proper performance of the technique.(2) The results of this review reveal strong evidence
that neonatal endotracheal suctioning should not be
routinely performed and should only be undertaken
when indicated, which occurs when there are signs of
secretion.(2,6,9,10) The endotracheal suction procedure is
not considered benign, although peripheral secretions
are not removed with this single procedure.(8) Thus, it is
important to perform individual evaluations of patients to
determine whether suctioning should be performed. The
following clinical criteria were considered for suctioning
in intubated newborns: visible secretions in the ETT,
audible secretions, coarse or decreased breathing sounds,
decreased respiratory excursion, change in blood gases,
changes in respiratory rate, bradycardia/tachycardia and/or
agitation without other cause, increase in peak respiratory
pressure and reduction in TV. The need for endotracheal
suctioning in newborns is preferably evaluated using
auscultation.(1,5,8,9) Therefore, the recommendation of
this study is that the decision to perform endotracheal
suctioning in newborns should be based on individual
evaluations and clinical criteria identifications that indicate
the need for suctioning and performing endotracheal
suctioning should not be established as part of the routine
care of intubated newborns. Hypoxemia is the complication most often related to
endotracheal suctioning in newborns; thus, hyperoxygenation
is an important clinical issue. Rev Bras Ter Intensiva. 2015;27(3):284-292 DISCUSSION In one study, the recommendation was to increase
FiO2 30 to 60 seconds before suctioning and 1 minute
thereafter.(6) Therefore, the suggestion of this review is
that if the newborn’s SpO2 falls during endotracheal
suctioning, hyperoxygenation at an FiO2 value 10 - 20%
higher than that prior to suctioning should be performed
during the next suctioning and 30 to 60 seconds before the
procedure, and this fraction should be maintained during
suctioning and 1 minute thereafter. However, SpO2 must
be monitored in all newborns requiring endotracheal
suctioning; therefore, individualized hyperoxygenation
parameters should be adopted according to clinical
alterations during the procedure.(8,20-22) p
p
g
The decision regarding the exact time to perform
endotracheal suctioning is important because this
procedure is not without complications and adverse
effects. Several adverse effects of endotracheal suctioning
in newborns have been identified, such as hypoxemia,
bradycardia, hypotension and reduced SpO2.(19-23) These
effects have been related to the suctioning of air from the
airways and vagal stimulation because of the introduction
of the probe and the negative pressure generated in the
airway.(4) Complications most commonly reported include
trauma, bleeding, mucosal injury, atelectasis because of
excessive suctioning of air from the airways, hypertensive
peaks as a result of the reflex discharge of the sympathetic
nervous system and bronchospasm.(7) The most serious
complications are hypoxemia, increased blood pressure, Another potential complication of hyperoxia in
newborns is the flip-flop phenomenon, which refers to
a larger than expected drop in partial pressure arterial Endotracheal suctioning in intubated newborns 289 oxygen (PaO2) when FiO2 values are reduced to levels
prior to endotracheal suctioning. This complication
most likely occurs because of the reflex pulmonary
vasoconstriction phenomenon. The pulmonary capillaries
are sensitive to changes in PaO2 and changes in regional
relations that increase the right-left shunt, which causes
a disproportionate drop in PaO2 with reductions in
FiO2.(19,24) Therefore, according to the Guide to Newborn
Health Care (Atenção à Saúde do Recém-Nascido) of the
Ministry of Health (Ministério da Saúde), if the FiO2
values are above 60%, the reduction in FiO2 should be
10% every 15 to 30 minutes to avoid the flip-flop effect.(24) procedure is safer when certain variables are monitored
before, during and after it is performed. DISCUSSION These variables
include respiratory sounds; SpO2; skin coloring;
respiratory rate; breathing pattern; hemodynamic variables
(if monitored), such as heart rate, blood pressure, heart
rhythm and ICP; aspirated secretion characteristics, such as
color, volume, consistency and odor; cough characteristics;
ventilatory parameters, such as peak inspiratory pressure
and plateau pressure; TV; flow; exhaled volume; and
FiO2.(2,10) One study mentioned that to reduce changes
in cerebral blood flow, the head of the newborn should
be positioned to align with the midline.(9) Therefore, the
recommendation of this study is to monitor these clinical
variables before, during and after the procedure. llf
The procedure duration was correlated with the
severity of adverse effects, and longer suctioning time
produced a greater risk of damage to the tracheal mucosa
and hypoxemia.(8,13-17) The analyzed studies all concluded
that the duration of each suction event should not exceed
15 seconds.(2,6,9,10) However, there was a lack of consensus
among the analyzed articles regarding the number of
repetitions of endotracheal suctioning in newborns. According to Evidence-based guideline for suctioning the
neonate and intubated infant, the probe size and negative
pressure amount influenced the required number of
repetitions.(2) In addition, an increased number of probe
insertions during endotracheal suctioning increased the
likelihood of complications, such as mucosal trauma,
hypoxemia, laryngeal spasm, bronchospasm, necrotizing
tracheitis, infection and discomfort, and it also increased
the likelihood of barotrauma.(2,9) Therefore, we suggest
that the probe insertion frequency should not exceed three
repetitions and recommend that an appropriate amount
of time should be allowed between suctioning events so
that the monitored variables can return to baseline levels. In addition, the newborn should be reconnected to the
ventilator at this time.(2,8,9,10) All of the studies concluded
that hyperinsufflation, or ventilation with TV higher
than that established on the MV, is not recommended in
newborns because hyperinsufflation may provoke changes
in FiO2 that would require the newborn to be reconnected
to the respirator.(8) Therefore, the recommendation of
this study is to perform the procedure is performed until
improvements are observed in lung auscultation or the
clinical parameters that led to suctioning. In addition, the
procedure should be performed as efficiently as possible
so that fewer repetitions are necessary, and a maximum
of three repetitions are recommended for endotracheal
suctioning in newborns. DISCUSSION Half of the analyzed studies concluded that the diameter
of the suctioning probe should not exceed 50% of the
diameter of the ETT and recommended using the smallest
suction probe capable of properly removing secretions. This recommendation is based on the fact that the suction
probe size most likely has an increased influence on lung
volume loss relative to negative suction pressure.(6,8,10) The
larger the size of the suction probe and more negative the
suction pressure, the greater the suctioned gas flow and the
more negative the tracheal pressure during ETT suctioning. Thus, for a given diameter of ETT, the suction pressure level
transmitted to the airway is determined by a combination
of suction tube size and suction pressure.(6,8,10) p
Negative
suction
pressure
can
damage
the
tracheobronchial mucosa by invagination caused by the
probe orifice, which may rupture the capillaries.(13) The
evaluated studies recommended that suction pressure
should be checked by occluding the end of the suction
probe before starting the procedure and ensuring that
the suction pressure is as low as possible while still being
able to remove secretions because negative tracheal
pressure during suction is directly proportional to the
applied pressure.(4) Negative pressures of 200mmHg with
continuous and intermittent suctioning are capable of
damaging the mucosa.(4,9,13) All of the articles analyzed
in this study suggested that negative suction pressure in
newborns should not exceed 100mmHg.(2,6,9,10) One study
suggested subatmospheric pressures under 80mmHg. Therefore, the recommendation of this review is to apply
suction pressure between - 50 to -100mmHg (8 - 10kPa)
and avoid exceeding 100mmHg negative. Saline instillation during endotracheal suctioning is a
controversial topic in pediatrics, especially in neonatology. This practice is widely used in Brazilian ICU and
corresponds to the instillation of saline aliquots (typically According to the AARC and Evidence-based guideline
for suctioning the intubated neonate and infant, the Rev Bras Ter Intensiva. 2015;27(3):284-292 Rev Bras Ter Intensiva. 2015;27(3):284-292 290 Gonçalves RL, Tsuzuki LM, Carvalho MG The implementation of guidelines based on scientific
evidence can reduce the risks associated with endotracheal
suctioning in newborns. These risks include physiological
changes, pneumonia, tracheal damage, hyperoxygenation-
and hypoxia-related changes, stress and discomfort. Although international guidelines are available, Brazilian
recommendations are lacking, and the procedures
adopted in Brazilian NICUs may differ from foreign
procedures because of various differences in equipment,
sociodemographic parameters, dispensed care, etc. DISCUSSION Thus,
recommendations and guidelines for this procedure
in Brazil can contribute to improving the outcome of
newborns in Brazilian NICUs. between 1 and 5ml) in the ETT before or during insertion
of the suctioning probe. This procedure is based on the
premise that saline facilitates the mobilization, release
and removal of secretions and suctioning tubes lubricated
with saline will reduce friction with the ETT and
prevent triggering of the cough reflex.(6) However, saline
instillation increases the likelihood of cardiac arrhythmia,
hypoxemia, atelectasis, bronchospasm, infection, mucosal
and respiratory tract cilia trauma and increases ICP.(2) In
Ridling et al.’s study, saline instillation had an adverse
effect on the reduction of SpO2 in the first and second
minute after suctioning; however, the adverse effects were
absent 10 minutes after the procedure.(27) According to
Walsh et al., insertion of the suctioning tube can dislodge
thousands of bacteria, and a saline jet may increase the risk
of distributing these bacteria to the lungs, thus increasing
the incidence of MV-associated pneumonia.(15) Consensus
was observed in most of the analyzed articles that saline
instillation should not be performed routinely.(6,8,10)
Therefore, the recommendation of this study is to avoid
the routine performance of saline instillation except in
special situations, such as in the case of thick secretions
and “secretion plugs” that would be impossible to remove
without such a procedure. Methodologically
sound
Brazilian
endotracheal
suctioning studies are scarce, especially in neonatology;
therefore, generalizing the available data is difficult. The
main limitations of this study were the small number of
included articles, poor methodological descriptions and
the absence of national secondary studies that address
this issue. Additional studies are needed to increase the
safety of the procedure and ground the technique in more
consistent scientific evidence. REFERENCES 13. Wood CJ. Endotracheal suctioning: a literature review. Intensive Crit Care
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in the acute care setting: how to stay out of trouble. Respir Care. 2011;56(9):1424-40; discussion 1440-4. 2. Gardner DL, Shirland L. Evidence-based guideline for suctioning the
intubated neonate and infant. Neonatal Netw. 2009;28(5):281-302. Review. 16. Lookinland S, Appel PL. Hemodynamic and oxygen transport changes
following endotracheal suctioning in trauma patients. Nurs Res. 1991;40(3):133-9. 3. Gillies D, Spence K. Deep versus shallow suction of endotracheal tubes
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with artificial airways 2010. Respir Care. 2010;55(6):758-64. 7. Rosa FK, Roese CA, Savi A, Dias AS, Monteiro MB. Comportamento
da mecânica pulmonar após a aplicação de protocolo de fisioterapia
respiratória e aspiração traqueal em pacientes com ventilação mecânica
invasiva. Rev Bras Ter Intensiva. 2007;19(2):170-5. 19. Betit P, Thompson J. Terapia respiratória neonatal e pediátrica. In: Wilkins
RL, Stoller JK, Kacmarek RM. Egan: fundamentos da terapia respiratória. Rio de Janeiro: Elsevier; 2009. p. 1194. 20. Pritchard M, Flenady V, Woodgate P. Preoxygenation for tracheal suctioning
in intubated, ventilated newborn infants. Cochrane Database Syst Rev. 2001;(3):CD000427. 8. Pedersen CM, Rosendahl-Nielsen M, Hjermind J, Egerod I. Endotracheal
suctioning of the adult intubated patient--what is the evidence? Intensive
Crit Care Nurs. 2009;25(1):21-30. 21. RESUMO do conceito de boas práticas na realização desse procedimento. Para tal, foi realizada uma revisão integrativa da literatura. A
recomendação deste estudo é de que a aspiração endotraqueal
em recém-nascidos seja realizada apenas quando houver sinais
de secreção traqueal, não devendo ser realizada rotineiramente;
que seja realizada por, no mínimo, duas pessoas; que o tempo de
aspiração seja inferior a 15 segundos e a pressão de sucção inferior
a 100mmHg negativos; que a hiperoxigenação não seja utilizada
de maneira rotineira. Se indicada, é recomendada a oxigenação
com fração inspirada de oxigênio 10 - 20% maior que a anterior,
30 - 60 segundos antes, durante e 1 minuto após o procedimento. Não deve ser realizada a instilação de solução salina rotineiramente
e as normas para procedimentos invasivos devem ser respeitadas. A prática baseada em evidências se baseia na busca da melhor
evidência científica disponível para fundamentar a solução de
um problema e a tomada de decisão. Devido à complexidade e
à quantidade de informações na área da saúde, há necessidade de
integração dos artigos científicos de boa qualidade metodológica
disponíveis partindo da revisão da literatura. Mesmo a aspiração
endotraqueal sendo o procedimento invasivo mais realizado
em recém-nascidos intubados em unidades de terapia intensiva
neonatais, poucos são os estudos brasileiros de boa qualidade
metodológica que fundamentam essa prática, não havendo
consenso ou padronização da técnica nacionalmente. Em virtude
do exposto, o objetivo do estudo foi revisar os estudos secundários
sobre o assunto para estabelecer recomendações sobre a aspiração
endotraqueal em recém-nascidos intubados, favorecendo a adoção Descritores: Sucção/métodos; Respiração artificial; Recém
-nascido Endotracheal suctioning in intubated newborns 291 Endotracheal suctioning in intubated newborns 291 RECOMMENDATIONS Consensus was observed in half of the analyzed studies
that the Center for Disease Control and Prevention (CDC)
guidelines for standard precautions in invasive procedures
must be respected to reduce instances of pneumonia
associated with the procedure.(6,10) The remaining analyzed
studies did not address this issue. In addition, certain
studies argued that endotracheal suction is a procedure that
should be performed by two people, thereby increasing
safety of the procedure.(6,8,10) On the National Health
Surveillance Agency’s (Agência Nacional de Vigilância
Sanitária - ANVISA) website, references were not found
regarding the biosafety standards for endotracheal
suctioning or for invasive procedures. Therefore, with
regard to the bio-security standards for the performance
of endotracheal suctioning in intubated newborns, the
recommendation of this review is to follow the CDC
guidelines, which advocate protecting the professional’s
eyes, nose and mouth using a face mask and goggles,
wearing an apron and sterile gloves, and performing
hand hygiene before and after the procedure.(29) An eye
protector may also be placed on the newborn to prevent
mucosa contamination. A further recommendation is for
the procedure to be performed by at least two people.(8,9) Based on the analyzed studies, the recommendation
of this integrative review is to only perform endotracheal
suctioning in intubated newborns when there are clinical
signs of tracheal secretions, which are primarily evaluated
by the presence of snoring or decreased breathing sounds
on auscultation. This procedure should not be routinely
performed to prevent airway obstruction. The suction time
should not exceed 15 seconds, and the negative pressure
must not exceed 100mmHg. Hyperoxygenation should
not be used routinely and is only indicated when the baby
has a clinically significant reduction in peripheral oxygen
saturation during suctioning. When required to reduce
hypoxemia, pre-oxygenation is recommended 30 to 60
seconds before, during and 1 minute after endotracheal
suctioning by applying an inspired oxygen fraction that
is 10 to 20% higher than what was used in the previous
procedure. Saline instillation should not be routinely
performed. Moreover, the Center for Disease Control
and Prevention standards for invasive procedures must be
respected during the procedure, the procedure must be
conducted by at least two professionals, a maximum of
three probe insertions should be performed, with a return
to the ventilator between suctionings. Rev Bras Ter Intensiva. 2015;27(3):284-292 Rev Bras Ter Intensiva. 2015;27(3):284-292 28. Rebello CM, Procianoy R, Freddi A, Araujo KJ, Queirós Filho H, Mascaretti
RS. I Consenso Brasileiro de Ventilação Mecânica em Pediatria e
Neonatologia: uso do surfactante no recém-nascido. São Paulo: Associação
de Medicina Intensiva Brasileira; 2012 [Internet]. Disponível em: http://
www.sbp.com.br/pdfs/I Consenso Brasileiro de Surfactante.pdf _
_
_
_
29. Siegel JD, Rhinehart E, Jackson M, Chiarello L; Health Care Infection
Control Practices Advisory Committee. 2007 Guideline for Isolation
Precautions: Preventing Transmission of Infectious Agents in Health Care
Settings. Am J Infect Control. 2007;35(10 Suppl 2):S65-164. 292 Gonçalves RL, Tsuzuki LM, Carvalho MG 26. Dean B. Evidence-based suction management in accident and emergency:
a vital component of airway care. Accid Emerg Nurs. 1997;5(2):92-8. Rev Bras Ter Intensiva. 2015;27(3):284-292 27. Ridling DA, Martin LD, Bratton SL. Endotracheal suctioning with or without
instillation of isotonic sodium chloride solution in critically ill children. Am J
Crit Care. 2003;12(3):212-9. 28. Rebello CM, Procianoy R, Freddi A, Araujo KJ, Queirós Filho H, Mascaretti
RS. I Consenso Brasileiro de Ventilação Mecânica em Pediatria e
Neonatologia: uso do surfactante no recém-nascido. São Paulo: Associação
de Medicina Intensiva Brasileira; 2012 [Internet]. Disponível em: http://
www.sbp.com.br/pdfs/I_Consenso_Brasileiro_de_Surfactante.pdf
29. Siegel JD, Rhinehart E, Jackson M, Chiarello L; Health Care Infection
Control Practices Advisory Committee. 2007 Guideline for Isolation
Precautions: Preventing Transmission of Infectious Agents in Health Care
Settings. Am J Infect Control. 2007;35(10 Suppl 2):S65-164. REFERENCES González-Cabello H, Furuya ME, Vargas MH, Tudón H, Gardunó J, Gonzáles-
Ayala J. Evaluation of antihypoxemic maneuvers before tracheal aspiration
in mechanically ventilated newborns. Pediatr Pulmonol. 2005;39(1):46-50. 9. ERNBG Guideline - Suction February 2006 Review due: February 200 6
Eastern Regional Neonatal Benchmarking Group Suctioning Guideline. [cited 2013 Nov 27]. Available http://guideline1.com/e/endotracheal-
suctioning-guidelines-s83/. y
22. Pritchard MA, Flenady V, Woodgate P. Systematic review of the role of
pre-oxygenation for tracheal suctioning in ventilated newborn infants. J
Paediatr Child Health. 2003;39(3):163-5. 10. AARC Clinical Practice Guidelines. Nasotracheal Suctioning-2004 Revision
& Update. Respir Care. 2004; 49(9):1080-4. 23. Hodge D. Endotracheal suctioning and the infant: a nursing care protocol
to decrease complications. Neonatal Netw. 1991;9(5),7-15. 11. Odell A, Allder A, Bayne R, Everett C, Scott S, Still B, et al. Endotracheal
suction for adult, non-head- injured, patients. A review of the literature. Intensive Crit Care Nurs. 1993;9(4),274-8. 24. Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento
de Ações Programáticas Estratégicas. Atenção à saúde do recém-nascido:
guia para os profissionais de saúde. 2a ed. Brasília: Ministério da Saúde;
2012. 12. Cone S, Pickler RH, Grap MJ, McGrath J, Wiley PM. Endotracheal
suctioning in preterm infants using four-handed versus routine care. J
Obstet Gynecol Neonatal Nurs. 2013;42(1):92-104. Rev Bras Ter Intensiva. 2015;27(3):284-292 25. Carroll P. Safe suctioning prn. RN. 1994;57(5):32-6; quiz 37. 26. Dean B. Evidence-based suction management in accident and emergency:
a vital component of airway care. Accid Emerg Nurs. 1997;5(2):92-8. 27. Ridling DA, Martin LD, Bratton SL. Endotracheal suctioning with or without
instillation of isotonic sodium chloride solution in critically ill children. Am J
Crit Care. 2003;12(3):212-9. Rev Bras Ter Intensiva. 2015;27(3):284-292 Rev Bras Ter Intensiva. 2015;27(3):284-292
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