Novel Hub Genes Co-expression Network Mediates Dysfunction in a Model of Polycystic Ovary Syndrome
Overview
Affiliations
Background: This study aimed to integrate DNA methylation, miRNA, and mRNA microarray data to construct a gene co-expression network for polycystic ovarian syndrome (PCOS).
Methods: The weighted gene co-expression network analysis (WGCNA) was conducted to construct a PCOS-related co-expression network by using the GEO public datasets. We performed Gene Ontology and KEGG pathway enrichment analyses for a further exploration of gene function in networks. Finally, the dysfunction module consisting of a co-expression network was mapped to the PCOS patients and tried to provide guidance to the PCOS phenotyping.
Results: Three modules (Midnightbule, Pink, and Red) were identified to be PCOS-related by WGCNA analysis. These module-related genes were enriched in cell response to stimulus, PI3K-Akt signaling pathway, insulin biological process, signaling pathway, and cytokine-cytokine receptor interaction biological processes. The multiple-factor network, including miRNA-lncRNA and DNA methylation-mRNA interaction, was closely associated with PCOS dysfunction.
Conclusion: Our study render a novel insight into the mechanisms and might provide candidate biomarkers and therapeutic targets for the classification of PCOS dysfunction.
Whispers of the polycystic ovary syndrome theater: Directing role of long noncoding RNAs.
Lin X, Nie X, Deng P, Wang L, Hu C, Jin N Noncoding RNA Res. 2024; 9(4):1023-1032.
PMID: 39022674 PMC: 11254504. DOI: 10.1016/j.ncrna.2024.05.003.
Heidarzadehpilehrood R, Pirhoushiaran M, Osman M, Ling K, Hamid H Iran J Pharm Res. 2024; 22(1):e139985.
PMID: 38444712 PMC: 10912876. DOI: 10.5812/ijpr-139985.
Su Z, Su W, Li C, Ding P, Wang Y Sci Rep. 2023; 13(1):980.
PMID: 36653385 PMC: 9849323. DOI: 10.1038/s41598-022-27326-0.