Identification of immune cell infiltration and effective biomarkers of polycystic ovary syndrome by bioinformatics analysis.

ABSTRACT:

Background

Patients with polycystic ovary syndrome (PCOS) exhibit a chronic inflammatory state, which is often accompanied by immune, endocrine, and metabolic disorders. Clarification of the pathogenesis of PCOS and exploration of specific biomarkers from the perspective of immunology by evaluating the local infiltration of immune cells in the follicular microenvironment may provide critical insights into disease pathogenesis.

Methods

In this study, we evaluated immune cell subsets and gene expression in patients with PCOS using data from the Gene Expression Omnibus database and single-sample gene set enrichment analysis.

Results

In total, 325 differentially expressed genes were identified, among which TMEM54 and PLCG2 (area under the curve = 0.922) were identified as

SUBMITTER: Gao M 

PROVIDER: S-EPMC10207797 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature