Expression of transcription factors in polycystic ovary syndrome.

Abstract

Objectives: Polycystic ovary syndrome (PCOS) is a common endocrine disorder that affects women's health. This study aims to investigate gene and transcription factor (TF) expression differences between PCOS patients and healthy individuals using bioinformatics approaches, and to verify the function of key transcription factors, with the goal of providing new insights into the pathogenesis of PCOS.

Methods: Differentially expressed genes (DEGs) and differentially expressed transcription factors (DETFs) between PCOS patients and controls were identified from the RNA sequencing dataset GSE168404 using bioinformatics methods. Functional enrichment analysis was performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. The expression and function of core transcription factors were further validated in ovarian tissues of PCOS model mice and control mice using Western blotting and reverse transcription quantitative polymerase chain reaction (RT-qPCR).

Results: A total of 332 DEGs were identified between PCOS patients and controls, including 259 upregulated and 73 downregulated genes in the PCOS group. 19 DETFs were further screened, of which 16 were upregulated and 3 were downregulated in PCOS. The upregulated DETFs (including TFCP2L1, DACH1, ESR2, AFF3, SMAD9, ZNF331, HOPX,ATOH8, HIF3α, DPF3, HOXC4, HES1, ID1, JDP2, SOX4, and ID3) were primarily associated with lipid metabolism, development, and cell adhesion. Protein and mRNA expression analysis in PCOS model mice revealed significantly decreased levels of hypoxia-inducible factor (HIF) 1α and HIF2α, and significantly increased expression of HIF3α compared to control mice (all P<0.001).

Conclusions: Significant differences in gene and TF expression exist between PCOS patients and healthy individuals. HIF-3α may play a crucial role in PCOS and could serve as a novel biomarker for diagnosis and a potential therapeutic target.