Evidence map›Paper›PMID 40269081›Full record

ArticleScientific reports2025

Multiomic insight into the involvement of cell aging related genes in the pathogenesis of endometriosis.

Limei Chen, Yunhua Yi, Jichan Nie

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. p16 Beyond Senescence: Cancer Biology Lessons Applied to Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Limei Chen *Hysteroscopy center, Shanghai Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China.
Yunhua Yi *Department of Gynecology, Shanghai Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China.
Jichan NieDepartment of Gynecology, Shanghai Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China. niejichan@fudan.edu.cn.

Funding

Clinical research project of Shanghai Municipal Health Commission 202440057
6 · The paper itself

Abstract

Endometriosis significantly impacts women's health and fertility, with cell aging playing a crucial role in its development. This study utilized a multi-omic summary Mendelian randomization (SMR) analysis, integrating genome-wide association studies (GWAS), expression quantitative trait loci (eQTLs), methylation quantitative trait loci (mQTLs), and protein quantitative trait loci (pQTLs). The goal was to identify genes that exhibit causal associations between cell aging and endometriosis. Validation was conducted using the FinnGen R10 and UK Biobank cohorts. The SMR and HEIDI tests evaluated the genetic variants linked to both cell aging and endometriosis risk. Colocalization analysis revealed shared genetic variants, uncovering significant associations between the two conditions. A total of 196 CpG sites in 78 genes, alongside 18 eQTL-associated genes and 7 pQTL-associated proteins, were identified. Notably, the MAP3K5 gene displayed contrasting methylation patterns linked to endometriosis risk. In validation cohorts, the THRB gene and ENG protein were confirmed as risk factors. The findings suggest a causal mechanism where specific methylation patterns downregulate the MAP3K5 gene, heightening endometriosis risk, highlighting it and associated pathways as potential therapeutic targets.

Indexed as

Cellular SenescenceEndometriosisDNA MethylationFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideQuantitative Trait LociCell agingEndometriosisMAP3K5Mendelian randomizationMulti-Omics

Identifiers

PMID40269081
PMCPMC12019183

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.