Bioinformatics analysis to identify environmental endocrine chemicals that target endometriosis genes

Endometriosis (EMS) significantly impacts women's health and is influenced by genetic factors and environmental endocrine-disrupting chemicals (EDCs), which interfere with hormonal balance. Using the Gene Expression Omnibus database, we identified differentially expressed genes and applied analytical methods, including WGCNA, GO, KEGG, and LASSO regression, to predict six key genes associated with EMS: ADAM9, IRAK3, NTRK3, PIK3CG, STK38, and TLR4. By integrating the Comparative Toxicogenomics Database and Endocrine Disruption Exchange Database, we identified 35 EDCs potentially linked to these genes. This study highlights the relationship between EMS and EDCs, offering insights into its pathogenesis and potential therapeutic targets for improved treatment.