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Meta-Analysis
. 2025 Jun;316(Pt 1):144729.
doi: 10.1016/j.ijbiomac.2025.144729. Epub 2025 May 27.

Causal relationship between 91 circulating inflammatory proteins and gynecological diseases: A two-sample bidirectional Mendelian randomization study

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Free article
Meta-Analysis

Causal relationship between 91 circulating inflammatory proteins and gynecological diseases: A two-sample bidirectional Mendelian randomization study

Jie-Lin Wang et al. Int J Biol Macromol. 2025 Jun.
Free article

Abstract

Gynecological diseases pose major public health challenges due to their detrimental impact on women's quality of life and fertility. While growing evidence implicates inflammatory proteins in the pathogenesis of these conditions, their causal roles remain unclear. In this study, we conducted a bidirectional two-sample Mendelian randomization (TSMR) analysis to explore causal relationships between 91 circulating inflammatory proteins and 17 gynecological diseases in a discovery cohort. We identified nine protein-disease pairs with potential causal associations, three of which remained significant after Bonferroni correction, including IL-1α with increased risk of cervical cancer, MMP10 with reduced risk of endometrial cancer, and MCP-1 with increased susceptibility to ovarian benign neoplasms. A meta-analysis incorporating data from an independent replication cohort further suggested that IL-1α increases the risk of cervical cancer. To validate these findings, we performed transcriptomic analysis using the TCGA database and confirmed protein-level expression through Western blot analysis of clinical samples. Collectively, these results provide novel insights into the inflammatory mechanisms underlying gynecological diseases and underscore IL-1α as a promising causal biomarker and potential therapeutic target for cervical cancer.

Keywords: Gynecological diseases; Inflammatory proteins; Mendelian randomization.

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Conflict of interest statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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