Identification of the hub genes in polycystic ovary syndrome based on disease-associated molecule network

作者全名："Wu, Yue; Yang, Lingping; Wu, Xianglu; Wang, Lidan; Qi, Hongbo; Feng, Qian; Peng, Bin; Ding, Yubin; Tang, Jing"

作者地址："[Wu, Yue; Wang, Lidan; Tang, Jing] Chongqing Med Univ, Sch Basic Med, Chongqing, Peoples R China; [Wu, Yue; Qi, Hongbo; Ding, Yubin] Chongqing Med Univ, Dept Obstet, Affiliated Hosp 1, Chongqing, Peoples R China; [Yang, Lingping; Wu, Xianglu; Peng, Bin; Tang, Jing] Chongqing Med Univ, Dept Obstet & Gynecol, Women & Childrens Hosp, Chongqing, Peoples R China; [Yang, Lingping; Wu, Xianglu; Peng, Bin; Tang, Jing] Chongqing Med Univ, Sch Publ Hlth, Joint Int Res Lab Reprod & Dev, Minist Educ China, Chongqing, Peoples R China; [Feng, Qian] Chongqing Hosp Tradit Chinese Med, Dept Gynecol, Chongqing, Peoples R China; [Ding, Yubin] Changsha Med Univ, Dept Pharmacol, Academician Workstat, Changsha, Peoples R China; [Tang, Jing] Chongqing Med Univ, Sch Basic Med, Chongqing 400016, Peoples R China; [Ding, Yubin] Chongqing Med Univ, Dept Obstet & Gynecol, Women & Childrens Hosp, Chongqing 401147, Peoples R China"

通信作者："Tang, J (通讯作者)，Chongqing Med Univ, Sch Basic Med, Chongqing 400016, Peoples R China.; Ding, YB (通讯作者)，Chongqing Med Univ, Dept Obstet & Gynecol, Women & Childrens Hosp, Chongqing 401147, Peoples R China."

来源：FASEB JOURNAL

ESI学科分类：BIOLOGY & BIOCHEMISTRY

WOS号：WOS:001032499700015

JCR分区：Q1

影响因子：4.4

年份：2023

卷号：37

期号：7

开始页：　

结束页：　

文献类型：Article

关键词：bioinformatics; gene expression; molecular network; multi-omics integration; polycystic ovary syndrome

摘要："Revealing the key genes involved in polycystic ovary syndrome (PCOS) and elucidating its pathogenic mechanism is of extreme importance for the development of targeted clinical therapy for PCOS. Investigating disease by integrating several associated and interacting molecules in biological systems will make it possible to discover new pathogenic genes. In this study, an integrative disease-associated molecule network, combining protein-protein interactions and protein-metabolites interactions (PPMI) network was constructed based on the PCOS-associated genes and metabolites systematically collected. This new PPMI strategy identified several potential PCOS-associated genes, which have unreported in previous publications. Moreover, the systematic analysis of five benchmarks data sets indicated the DERL1 was identified as downregulated in PCOS granulosa cell and has good classification performance between PCOS patients and healthy controls. CCR2 and DVL3 were upregulated in PCOS adipose tissues and have good classification performance. The expression of novel gene FXR2 identified in this study is significantly increased in ovarian granulosa cells of PCOS patients compared with controls via quantitative analysis. Our study uncovers substantial differences in the PCOS-specific tissue and provides a plethora of information on dysregulated genes and metabolites that are linked to PCOS. This knowledgebase could have the potential to benefit the scientific and clinical community. In sum, the identification of novel gene associated with PCOS provides valuable insights into the underlying molecular mechanisms of PCOS and could potentially lead to the development of new diagnostic and therapeutic strategies."

基金机构："National Natural Science Foundation of China [82171664]; Science and Technology Research Program of Chongqing Municipal Education Commission [KJQN202100421]; Basic Research and Frontiers Exploration Project of Science and Technology Committee of Yuzhong District, Chongqing [20210119]"

基金资助正文："This work was supported by the National Natural Science Foundation of China (82171664), the Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202100421), and the Basic Research and Frontiers Exploration Project of Science and Technology Committee of Yuzhong District, Chongqing (20210119)."