Molecular Mechanisms of Endometriosis Revealed Using Omics Data

Seong Beom Cho

doi:10.3390/biomedicines11082210

Molecular Mechanisms of Endometriosis Revealed Using Omics Data

Seong Beom Cho

Biomedicines · 2023 · vol. 11(8) , pp. 2210 · doi:10.3390/biomedicines11082210 · PMID:37626707 · W4385637631

review OA: gold CC0 ⤵ 26 in-corpus citations

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This review consolidates omics data to reveal that while overlapping genes between different endometriosis studies are moderate, their functional characteristics are equivalent, underscoring omics' value in understanding the disease.

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Abstract

Endometriosis is a gynecological disorder prevalent in women of reproductive age. The primary symptoms include dysmenorrhea, irregular menstruation, and infertility. However, the pathogenesis of endometriosis remains unclear. With the advent of high-throughput technologies, various omics experiments have been conducted to identify genes related to the pathophysiology of endometriosis. This review highlights the molecular mechanisms underlying endometriosis using omics. When genes identified in omics experiments were compared with endometriosis disease genes identified in independent studies, the number of overlapping genes was moderate. However, the characteristics of these genes were found to be equivalent when functional gene set enrichment analysis was performed using gene ontology and biological pathway information. These findings indicate that omics technology provides invaluable information regarding the pathophysiology of endometriosis. Moreover, the functional characteristics revealed using enrichment analysis provide important clues for discovering endometriosis disease genes in future research.

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endometriosisdysmenorrheainfertility

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