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Novel Genetic Risk and Metabolic Signatures of Insulin Signaling and Androgenesis in the Anovulation of Polycystic Ovary Syndrome

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dc.contributor.authorWu, Xiaoke
dc.contributor.authorWang, Chi Chiu
dc.contributor.authorCao, Yijuan
dc.contributor.authorLi, Jian
dc.contributor.authorLi, Zhiqiang
dc.contributor.authorMa, Hongli
dc.contributor.authorGao, Jingshu
dc.contributor.authorChang, Hui
dc.contributor.authorZhang, Duojia
dc.contributor.authorCong, Jing
dc.contributor.authorWang, Yu
dc.contributor.authorWu, Qi
dc.contributor.authorHan, Xiaoxiao
dc.contributor.authorChung, Pui Wah Jacqueline
dc.contributor.authorLi, Yiran
dc.contributor.authorZheng, Xu
dc.contributor.authorChen, Lingxi
dc.contributor.authorZeng, Lin
dc.contributor.authorBorchert, Astrid
dc.contributor.authorKuhn, Hartmut
dc.contributor.authorChen, Zi Jiang
dc.contributor.authorNg, Ernest Hung Yu
dc.contributor.authorStener-Victorin, Elisabet
dc.contributor.authorZhang, Heping
dc.contributor.authorLegro, Richard S.
dc.contributor.authorMol, Ben Willem J.
dc.contributor.authorShi, Yongyong
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Women’s Health Researchen
dc.date.accessioned2023-07-24T13:10:01Z
dc.date.available2023-07-24T13:10:01Z
dc.date.issued2023-04
dc.descriptionFunding Information: The authors are grateful to all staff in the PCOSAct group for their effort in the collection of blood samples and clinical dataset which used in current study. Special thanks to Prof. Attila Toth from Institute of Physiological Chemistry, Dresden, Germany for the REC114 antibody. This study was supported by the National key Research and Development Program of China (2019YFC1709500); the National Collaboration Project of Critical Illness by Integrating Chinese Medicine and Western Medicine; the Project of Heilongjiang Province Innovation Team “TouYan;” the Yi-Xun Liu and Xiao-Ke Wu Academician Workstation; the Innovation Team of Reproductive Technique with Integrative Chinese Medicine and Western Medicine in Xuzhou City, China; Heilongjiang University of Chinese Medicine from the National Clinical Trial Base; Heilongjiang Provincial Clinical Research Center for Ovary Diseases; the Research Grant Council (T13-602/21-N, C5045-20EF, and 14122021); and Food and Health Bureau in Hong Kong, China (06171026). Ben Willem J. Mol is supported by a National Health and Medical Research Council (NHMRC) Investigator grant (GNT1176437). Ben Willem J. Mol reports consultancy for ObsEva and Merck and travel support from Merck. Xiaoke Wu, Yongyong Shi, and Chi Chiu Wang developed the research question and designed the study. Xiaoke Wu, Yongyong Shi, Yijuan Cao, and Chi Chiu Wang designed the analysis. Yongyong Shi and Zhiqiang Li contributed to the design of the experiment of whole-exome plus targeted SNP sequencing and the analysis, and interpreted the results. Jingshu Gao, Hui Chang, Duojia Zhang, Jing Cong, Yu Wang, Qi Wu, Xiaoxiao Han, Pui Wah Jacqueline Chung, Yiran Li, and Lin Zeng contributed to the experiment of metabolic profile and immunofluorescent staining and the analysis, and interpreted the results. Astrid Borchert and Hartmut Kuhn provided antibody support and advice. Xu Zheng and Lingxi Chen contributed to create the predictive model with deep machine learning. Jian Li, Qi Wu, Hongli Ma, Xu Zheng, and Lingxi Chen contributed to the analysis of the clinical characteristics and interpreted the results. Jian Li, Hongli Ma, Hui Chang, Jing Cong, and Chi Chiu Wang drafted the manuscript. All authors reviewed and revised the manuscript. Xiaoke Wu is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Xiaoke Wu, Chi Chiu Wang, Yijuan Cao, Jian Li, Zhiqiang Li, Hongli Ma, Jingshu Gao, Hui Chang, Duojia Zhang, Jing Cong, Yu Wang, Qi Wu, Xiaoxiao Han, Pui Wah Jacqueline Chung, Yiran Li, Xu Zheng, Lingxi Chen, Lin Zeng, Astrid Borchert, Hartmut Kuhn, Zijiang Chen, Ernest Hung Yu Ng, Elisabet Stener-Victorin, Heping Zhang, Richard S. Legro, Ben Willem J. Mol, and Yongyong Shi declare that they have no conflict of interest or financial conflicts to disclose. Funding Information: This study was supported by the National key Research and Development Program of China ( 2019YFC1709500 ); the National Collaboration Project of Critical Illness by Integrating Chinese Medicine and Western Medicine ; the Project of Heilongjiang Province Innovation Team “TouYan;” the Yi-Xun Liu and Xiao-Ke Wu Academician Workstation; the Innovation Team of Reproductive Technique with Integrative Chinese Medicine and Western Medicine in Xuzhou City , China; Heilongjiang University of Chinese Medicine from the National Clinical Trial Base ; Heilongjiang Provincial Clinical Research Center for Ovary Diseases ; the Research Grant Council ( T13-602/21-N , C5045-20EF , and 14122021 ); and Food and Health Bureau in Hong Kong, China ( 06171026 ). Publisher Copyright: © 2023en
dc.description.statusPeer revieweden
dc.format.extent9
dc.format.extent2336596
dc.identifier266353761
dc.identifierb4def95e-efb8-4d1f-b2fa-8c42d5585afc
dc.identifier85141319191
dc.identifier.citationWu, X, Wang, C C, Cao, Y, Li, J, Li, Z, Ma, H, Gao, J, Chang, H, Zhang, D, Cong, J, Wang, Y, Wu, Q, Han, X, Chung, P W J, Li, Y, Zheng, X, Chen, L, Zeng, L, Borchert, A, Kuhn, H, Chen, Z J, Ng, E H Y, Stener-Victorin, E, Zhang, H, Legro, R S, Mol, B W J & Shi, Y 2023, 'Novel Genetic Risk and Metabolic Signatures of Insulin Signaling and Androgenesis in the Anovulation of Polycystic Ovary Syndrome', Engineering, vol. 23, pp. 103-111. https://doi.org/10.1016/j.eng.2022.08.013en
dc.identifier.doi10.1016/j.eng.2022.08.013
dc.identifier.issn2095-8099
dc.identifier.urihttps://hdl.handle.net/2164/21288
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85141319191&partnerID=8YFLogxKen
dc.identifier.vol23en
dc.language.isoeng
dc.relation.ispartofEngineeringen
dc.subjectDeep machine learningen
dc.subjectInfertilityen
dc.subjectOvulation responsesen
dc.subjectPolycystic ovary syndromeen
dc.subjectREC114en
dc.subjectWhole-exome sequencingen
dc.subjectZNF438en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectGeneral Computer Scienceen
dc.subjectEnvironmental Engineeringen
dc.subjectGeneral Chemical Engineeringen
dc.subjectMaterials Science (miscellaneous)en
dc.subjectEnergy Engineering and Power Technologyen
dc.subjectGeneral Engineeringen
dc.subjectSupplementary Dataen
dc.subject.lccQA75en
dc.titleNovel Genetic Risk and Metabolic Signatures of Insulin Signaling and Androgenesis in the Anovulation of Polycystic Ovary Syndromeen
dc.typeJournal articleen

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