Identification of metabolic reprogramming-associated biomarkers in endometriosis through integrated bioinformatics analysis.

ABSTRACT:

Background

Endometriosis (EMs), a common gynecological disorder, involves complex molecular mechanisms. Metabolic reprogramming (MR) has been recognized as a hallmark of EMs, contributing to lesion survival and immune microenvironment remodeling. This study aimed to identify MR-associated hub genes and pathways associated with EMs through integrated multi-omics analyses.

Methods

EMs-related datasets were downloaded from the Gene Expression Omnibus database, including training sets (GSE51981 and GSE7305) and validation sets (GSE25628 and GSE141549). MR related genes were retrieved from the Genecards database. EMs-related differentially expressed genes (DEGs) were identified, and WGCNA was performed to identify module genes. Protein-protein interaction (PPI) networks were cons

SUBMITTER: Zhen J 

PROVIDER: S-EPMC12574043 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature