Evidence map›Paper›PMID 42175707›Full record

ArticleMediators of inflammation2026

Identifying Novel Biomarkers and Therapeutic Targets for Endometriosis: Integrative Analysis of the Plasma Proteome and Genome.

Jiao Zheng, Ying-Ling Yao, Xin-Zhen Chen, Li-Juan Fu, Yu-Gang Chi, Zhao-Hui Zhong, Yu-Bin Ding

Abstract read
In one paragraph

Article in Mediators of inflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Jiao ZhengDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China, cqmu.edu.cn.ORCID https://orcid.org/0009-0003-6221-7977
Ying-Ling YaoDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China, cqmu.edu.cn.ORCID https://orcid.org/0009-0000-0181-1022
Xin-Zhen ChenDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China, cqmu.edu.cn.ORCID https://orcid.org/0000-0002-4839-2002
Li-Juan FuDepartment of Epidemiology, Joint International Research Laboratory of Reproduction and Development of the Ministry of Education of China, School of Public Health, Chongqing Medical University, Chongqing, 400016, China, cqmu.edu.cn.ORCID https://orcid.org/0000-0003-4890-9304
Yu-Gang ChiDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China, cqmu.edu.cn.ORCID https://orcid.org/0000-0001-8278-984X
Zhao-Hui ZhongDepartment of Epidemiology, Joint International Research Laboratory of Reproduction and Development of the Ministry of Education of China, School of Public Health, Chongqing Medical University, Chongqing, 400016, China, cqmu.edu.cn.ORCID https://orcid.org/0000-0002-8057-3065
Yu-Bin DingDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China, cqmu.edu.cn.ORCID https://orcid.org/0000-0002-7870-9445

Funding

National Key Research and Development Program of China 2023YFC2705900Open Research Grant from the Key Laboratory of Perinatal Medicine, Chongqing Health Commission 2024KFKT03
6 · The paper itself

Abstract

backgroundThere is currently no consensus on the etiology, pathogenesis, or treatment of endometriosis (EM). The discovery of disease-associated plasma proteins with causal genetic evidence provides an opportunity to identify new EM biomarkers and therapeutic targets.

methodsProtein quantitative trait loci (pQTLs) were derived from plasma proteomic associations in the UK Biobank Pharma Proteomics Project (UKB-PPP). Genetic associations with EM were obtained from the FinnGen cohort. The associations between proteins and the risk of EM were estimated by cis-Mendelian randomization (cis-MR) and validated using the GWAS catalog dataset of EM. Colocalization, protein-protein interaction (PPI) analysis, functional enrichment analysis, transcriptome differential expression gene (DEG) analysis and druggability evaluation were further performed to explore potential biomarkers and therapeutic targets for EM.

resultsOverall, genetically predicted levels of 23 plasma proteins were associated with EM risk, with five proteins validated via replication analysis (ALPI, KHK, HSPG2, STXBP1, and POLR2F). Lower levels of genetically predicted ALPI (odds ratio [OR]: 0.89, 95% confidence interval [CI] 0.83-0.95), HSPG2 (OR: 0.81, 95% CI 0.75-0.88), POLR2F (OR: 0.51, 95% CI 0.36-0.73), and STXBP1 (OR: 0.75, 95% CI 0.64-0.86) were associated with an increased risk of EM. Elevated levels of KHK (OR: 1.09, 95% CI 1.05-1.13) were associated with an increased risk of EM. We also identified ALPI, KHK, HSPG2, STXBP1, and POLR2F as potential drug targets and biomarkers for EM.

conclusionA series of comprehensive analyses emphasized the potential role of ALPI, KHK, HSPG2, STXBP1, and POLR2F in EM and suggested that these genes could be developed into exact biomarkers and therapeutic targets for this condition in future research.

Indexed as

BiomarkersEndometriosisProteomeFemaleGenome-Wide Association StudyHumansProteomicsQuantitative Trait LociBiomarkersProteomebiomarkersendometriosisMendelian randomizationtherapeutic targets

Identifiers

PMID42175707
PMCPMC13197833

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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.