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@article{210158,
        author = {Dr. Rupak Roy and Sarayu Pratap Kamath},
        title = {Integrative Bioinformatics Analysis of Menopause-Associated Pain and Potential Therapeutic Targets},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {6},
        pages = {156-170},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=210158},
        abstract = {This study aimed to identify genes linking menopause-related molecular changes with pain and assess their potential as therapeutic targets. Gene-expression analysis of GSE12517 compared 11 premenopausal women with 12 untreated postmenopausal women. Targeted literature reviews, protein-association network analysis, pathway enrichment, and evaluation of regulatory and drug-target evidence identified four candidates: ESR1, ESR2, COMT and CYP19A1. None were significantly differentially expressed after multiple-testing correction, and all had equal network centrality rankings. Enriched pathways involved steroid hormone biosynthesis and estrogen signaling. ESR1 and ESR2 linked estrogen signaling with pain-related mechanisms, CYP19A1 contributed to estrogen biosynthesis, and COMT connected catecholamine metabolism with pain modulation. ESR1, ESR2 and COMT warrant further investigation as potential therapeutic targets, while CYP19A1 requires caution because inhibiting estrogen synthesis may worsen musculoskeletal symptoms.},
        keywords = {Menopause; pain; estrogen signaling; gene expression; bioinformatics; therapeutic targets.},
        month = {November},
        }