Evidence map›Paper›PMID 39462363›Full record

ArticleBMC women's health2024

Causality of immune cells and endometriosis: a bidirectional mendelian randomization study.

Ying Peng, Youheng Li, Lingmei Wang, Shenglai Lin, Hong Xu

Abstract read
In one paragraph

Article in BMC women's health, 2024. 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. Review
  2. Review
  3. Article
  4. Eutopic Endometrium Immune Changes Involved in Development and Progression of Endometriosis: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  5. Review
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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

5 authors.

Ying PengDepartment of Pathology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, No. 36 Gongye 7th Road, Nanshan District, Shenzhen, 518057, Guangdong Province, China.
Youheng LiDepartment of Pathology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, No. 36 Gongye 7th Road, Nanshan District, Shenzhen, 518057, Guangdong Province, China.
Lingmei WangDepartment of Pathology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, No. 36 Gongye 7th Road, Nanshan District, Shenzhen, 518057, Guangdong Province, China.
Shenglai LinDepartment of Pathology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, No. 36 Gongye 7th Road, Nanshan District, Shenzhen, 518057, Guangdong Province, China.
Hong XuDepartment of Pathology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, No. 36 Gongye 7th Road, Nanshan District, Shenzhen, 518057, Guangdong Province, China. 202310157@sr.gxmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometriosis, a prevalent chronic condition, afflicts approximately 10% of women in their reproductive years. Emerging evidence implicates immune cells in the pathogenesis of endometriosis, particularly in angiogenesis, tissue proliferation, and lesion invasion. This investigation employs two-sample Mendelian Randomization (MR) to dissect the bidirectional causal relationships between immune cell profiles and endometriosis.

methodsWe leveraged publicly available genome-wide association study (GWAS) data to elucidate the causal interplay between immune cell traits and endometriosis. Utilizing GWAS summary statistics ranging from accession numbers GCST90001391 to GCST90002121 and endometriosis data from the FinnGen study GWAS (8,288 endometriosis cases and 68,969 controls), we adopted stringent criteria for instrumental variable selection. We applied MR-Egger, weighted median, inverse variance weighted (IVW), and weighted mode methods to derive causal estimates. To address potential heterogeneity and pleiotropy, Cochran's Q test, MR-Egger intercept, and leave-one-out analyses were executed. Reverse-direction MR and bidirectional MR analyses evaluated potential reciprocal causation and the influence of endometriosis on immune cell composition.

resultsOur analysis identified five immune phenotypes inversely associated with endometriosis risk. These phenotypes comprise: a percentage of CD11c + HLA-DR + + monocytes, CD25 expression on CD39 + CD4 + T cells, elevated CD25 on CD45RA + CD4 + non-regulatory T cells, HLA-DR intensity on HLA-DR + CD8 bright (CD8br) T cells, and the proportion of naïve double-negative (CD4 - CD8- %DN) T cells. In contrast, eleven phenotypes were positively correlated with endometriosis risk, including: CD127 expression on T cells, the proportion of CD24 + CD27 + B cells within lymphocytes, CD25 expression on CD28 + CD4 + T cells, CD28 expression on CD39 + activated regulatory T cells (activated Tregs), the frequency of bright CD33 HLA-DR + CD14 - cells within the CD33br HLA-DR + compartment, CD45 expression on lymphocytes and natural killer (NK) cells, activation status of central memory CD8 bright (CM CD8br) T cells, CX3CR1 expression on monocytes, and the percentage of HLA-DR + NK cells within the NK cell subset. Sensitivity assessments that excluded significant heterogeneity and pleiotropy confirmed the stability of these associations, thereby reinforcing the validity of our findings.

conclusionThis study provides novel evidence of the potential causal impact of specific immune cells on the risk of developing endometriosis. These findings enhance our understanding of endometriosis pathophysiology and may inform innovative approaches for its diagnosis and management. While our findings provide novel insights, limitations such as potential horizontal pleiotropy and reliance on European ancestry data should be considered. Future research should expand to diverse populations and incorporate individual-level data to refine these findings.

Indexed as

EndometriosisGenome-Wide Association StudyMendelian Randomization AnalysisFemaleHumansKiller Cells, NaturalCausal inferenceEndometriosisGeneticsGenome-wide association studyImmunityMendelian randomization analysis

Identifiers

PMID39462363
PMCPMC11515284

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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.