Identification of fatty acid metabolism hub genes in endometriosis using integrative bioinformatics analysis.

ABSTRACT:

Background

Fatty acid metabolism plays a major role in several inflammatory diseases such as endometriosis. However, its specific mechanism in endometriosis remains unclear. Therefore, this study aimed to investigate the hub genes involved in endometriosis and fatty acid metabolism using bioinformatics analyses.

Methods

The R package sva was used to remove batch effects from the GSE120103 and GSE25628 datasets, resulting in the creation of a combined GEO dataset. Differential analysis of the combined GEO dataset was interposed with fatty acid metabolism-related genes. Differentially expressed genes associated with fatty acid metabolism (FAMRDEGs) were subsequently identified. Functional enrichment analyses were performed using the clusterProfiler package, whereas gene set en

SUBMITTER: Tu JL 

PROVIDER: S-EPMC12043453 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature