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https://orcid.org/0000-0003-4518-2058
https://orcid.org/0009-0001-6574-5156
https://orcid.org/0009-0002-5779-0237
https://orcid.org/0000-0001-7220-7607
https://orcid.org/0000-0002-3160-8719
https://orcid.org/0000-0002-5021-8660
https://orcid.org/0000-0002-2005-8408
Xiaofeng REN, Huimin WANG, Xiaoman LV, Yi ZHOU, Yingyin FAN, Yanjun YU, Christoph W. TURCK, Yuhui CHEN, Longbao LV, Yingzhou HU, Hao LI, Wenchao WANG, Dongdong QIN, Xiaoli FENG, Xintian HU. Establishment of a standardized daily behavior collection and analysis system for brain disease models of rhesus and cynomolgus monkeys and its application in autism spectrum disorder[J]. Journal of Zhejiang University Science B, 2024, 25(11): 972-995.
@article{title="Establishment of a standardized daily behavior collection and analysis system for brain disease models of rhesus and cynomolgus monkeys and its application in autism spectrum disorder",
author="Xiaofeng REN, Huimin WANG, Xiaoman LV, Yi ZHOU, Yingyin FAN, Yanjun YU, Christoph W. TURCK, Yuhui CHEN, Longbao LV, Yingzhou HU, Hao LI, Wenchao WANG, Dongdong QIN, Xiaoli FENG, Xintian HU",
journal="Journal of Zhejiang University Science B",
volume="25",
number="11",
pages="972-995",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2400294"
}
%0 Journal Article
%T Establishment of a standardized daily behavior collection and analysis system for brain disease models of rhesus and cynomolgus monkeys and its application in autism spectrum disorder
%A Xiaofeng REN
%A Huimin WANG
%A Xiaoman LV
%A Yi ZHOU
%A Yingyin FAN
%A Yanjun YU
%A Christoph W. TURCK
%A Yuhui CHEN
%A Longbao LV
%A Yingzhou HU
%A Hao LI
%A Wenchao WANG
%A Dongdong QIN
%A Xiaoli FENG
%A Xintian HU
%J Journal of Zhejiang University SCIENCE B
%V 25
%N 11
%P 972-995
%@ 1673-1581
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B2400294
TY - JOUR
T1 - Establishment of a standardized daily behavior collection and analysis system for brain disease models of rhesus and cynomolgus monkeys and its application in autism spectrum disorder
A1 - Xiaofeng REN
A1 - Huimin WANG
A1 - Xiaoman LV
A1 - Yi ZHOU
A1 - Yingyin FAN
A1 - Yanjun YU
A1 - Christoph W. TURCK
A1 - Yuhui CHEN
A1 - Longbao LV
A1 - Yingzhou HU
A1 - Hao LI
A1 - Wenchao WANG
A1 - Dongdong QIN
A1 - Xiaoli FENG
A1 - Xintian HU
J0 - Journal of Zhejiang University Science B
VL - 25
IS - 11
SP - 972
EP - 995
%@ 1673-1581
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B2400294
Abstract: Complex brain diseases seriously endanger human health, and early diagnostic biomarkers and effective treatments are currently lacking. Due to ethical constraints on human research, establishing monkey models is crucial to address these issues. With the rapid development of technology, transgenic monkey models of a range of brain diseases, especially autism spectrum disorder (ASD), have been successfully established. However, to establish practical and effective brain disease models and subsequently apply them to disease mechanism and treatment studies, there is still a lack of a standard tool, i.e., a system for collecting and analyzing the daily behaviors of brain disease model monkeys. Therefore, with the goal of undertaking a comprehensive and quantitative study of behavioral phenotypes, we established a standard daily behavior collection and analysis system, including behavioral data collection protocols and a monkey daily behavior ethogram (MDBE) for rhesus and cynomolgus monkeys, which are the most commonly used non-human primates in model construction. Then, we used ASD as an application example after referring to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR), which is widely used in clinical disease diagnosis to obtain ASD core clinical symptoms. We then established a sub-ethogram (ASD monkey core behavior ethogram (MCBE-ASD)) specifically for quantitative assessment of the core clinical symptoms of an ASD monkey model based on MDBE. Subsequently, we demonstrated the high reproducibility of the system.
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