Evidence map›Paper›PMID 41353125›Full record

ArticleReproductive biology and endocrinology : RB&E2025

The "double-edged sword" effect of non-steroidal anti-inflammatory drugs (NSAIDs) in the treatment of endometriosis (EMS).

Zunlin Shi, Zhi Li, Yirou Li, Fan Yang

Abstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zunlin ShiCollege of Electronics and Information Engineering, University of Sichuan, Chengdu, Sichuan Province, 610065, China.
Zhi LiCollege of Electronics and Information Engineering, University of Sichuan, Chengdu, Sichuan Province, 610065, China.
Yirou LiCollege of Electronics and Information Engineering, University of Sichuan, Chengdu, Sichuan Province, 610065, China.
Fan YangDepartment of Gynecology and Obstetrics, West China Second Hospital, University of Sichuan, Chengdu, Sichuan Province, 610041, China. yf20252025@126.com.ORCID http://orcid.org/0000-0002-2318-2340

Funding

National Key Research and Development Program of China 2022YFC2704103
6 · The paper itself

Abstract

backgroundNon-steroidal anti-inflammatory drugs (NSAIDs) are commonly used to alleviate pain associated with endometriosis (EMS), yet the impact of their long-term use on disease progression remains unclear. This study investigates the dual role of NSAIDs in EMS pathogenesis using network toxicology and Mendelian randomization (MR).

methodsThe toxicity and ADMET profiles of nine NSAIDs were screened using ProTox 3.0 and ADMETlab 2.0. Potential drug targets were predicted using PharmMapper, STITCH, and SwissTargetPrediction, while EMS-related targets were retrieved from GeneCards, OMIM, and CTD databases. For the MR analysis, cis-eQTLs for whole blood tissue from GTEx v8 served as instrumental variables, based on the inflammatory nature of endometriosis. Outcome data were from an independent GWAS summary dataset (19,588 cases, 213,669 controls). Our analysis adhered to MR independence assumptions, ensuring no sample overlap between exposure and outcome data. Functional enrichment and molecular docking explored the underlying mechanisms.

resultsBy integrating drug targets with disease genes, we first identified 463 overlapping targets. We revealed that EPHB4 is a core hub mediating the potential "risk-promoting" effects of nearly all NSAIDs, with its functions enriched in key pathological processes such as angiogenesis. Molecular docking confirmed that eight NSAIDs could stably bind to EPHB4. Crucially, we found that indomethacin exhibited a unique "dual-regulatory" pattern: it simultaneously targeted the protective target PTGER4 and the risk-associated target EPHB4. Molecular docking further substantiated, at the atomic level, that indomethacin possesses strong binding affinity for both targets, providing a structural biology explanation for its observed genetic effects.

interpretationThis study provides, for the first time, robust causal evidence from both genetic and structural biology perspectives for the "double-edged sword" attribute of NSAIDs in EMS, and proposes a new paradigm of "target-oriented heterogeneous effects." We found that specific NSAIDs might inadvertently promote disease progression by activating the EPHB4 pathway, while indomethacin stands out as a key exception due to its unique dual-action mechanism. These findings not only offer a critical explanation for the current clinical controversy but also lay a solid scientific foundation for advancing EMS management from "empirical medication" towards "precision-based selection guided by molecular mechanisms."

Indexed as

Anti-Inflammatory Agents, Non-SteroidalEndometriosisFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisMolecular Docking SimulationAnti-Inflammatory Agents, Non-SteroidalDrug safetyEndometriosisMendelian randomizationMolecular dockingNetwork toxicologyNSAIDs

Identifiers

PMID41353125
PMCPMC12829210

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.