多囊卵巢
基因
生物
2型糖尿病
转录组
基因调控网络
小RNA
生物信息学
转录因子
计算生物学
疾病
遗传学
基因表达
医学
内科学
胰岛素抵抗
糖尿病
内分泌学
作者
J Zhang,F-J Zhang,L Zhang,D-X Xian,S-A Wang,M Peng,Yan Liu
出处
期刊:PubMed
日期:2023-04-01
卷期号:27 (8): 3255-3269
标识
DOI:10.26355/eurrev_202304_32097
摘要
Type 2 diabetes mellitus (T2DM) and polycystic ovary syndrome (PCOS) are highly prevalent endocrine system diseases. However, studies on the molecular mechanisms of T2DM and PCOS at the transcriptomic level are still few. Thus, we aimed to reveal the potential common genetic and molecular pathways between T2DM and PCOS via bioinformatics analyses.We downloaded the GSE10946 and GSE18732 datasets for T2DM and PCOS, respectively, from the National Center for Biotechnology Information's Gene Expression Omnibus (GEO) database. These datasets were subjected to integrated differential and weighted gene co-expression network analyses (WGCNA) to screen common genes. Thereafter, functional enrichment and disease gene association analyses were performed, transcription factor (TF)-gene and TF-miRNA-gene regulatory networks were constructed, and finally, the relevant target drugs were identified.We identified common genes (BIRC3, DEPTOR, TNNL3, ADRA2A) in T2DM and PCOS. Pathway enrichment analysis depicted that the common genes were enriched in smooth muscle contraction, channel inhibitor activity, apoptosis, and tumor necrosis factor (TNF) signaling pathways. TFs such as SP7, KLF8, HCFC1, IRF1, and MLLT1 played key roles in TF regulatory networks. Orlistat was indicated to be an important gene-targeting drug.This study is the first study to explore four diagnostic biomarkers and gene regulatory networks for T2DM and PCOS. The findings of our study provide novel insights into the diagnosis and treatment of T2DM and PCOS.
科研通智能强力驱动
Strongly Powered by AbleSci AI