Evidence map›Paper›PMID 39959755›Full record

ArticleInternational journal of women's health2025

Causal Links Between Brain Functional Networks and Endometriosis: A Large-Scale Genetic-Driven Observational Study.

Songwei Feng, Yuru Wang, Sicong Liu, Yueming Zhang, Leilei He

Abstract read
In one paragraph

Article in International journal of women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Songwei Feng *Department of Obstetrics and Gynaecology, The Fourth Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Yuru Wang *Department of Obstetrics and Gynaecology, The Fourth Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Sicong Liu *Department of Obstetrics and Gynaecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.
Yueming ZhangDepartment of Obstetrics and Gynaecology, The Fourth Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.
Leilei HeDepartment of Obstetrics and Gynaecology, The Fourth Affiliated Hospital of Soochow University, Suzhou, People's Republic of China.ORCID 0009-0002-6347-8637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Endometriosis is a chronic gynecological disorder that significantly impacts women of reproductive age. Recent evidence suggests a bidirectional link between endometriosis and brain functional networks, though the causal mechanisms remain unclear. This study aims to explore these relationships using Mendelian Randomization (MR) analysis. Methods: Data from 191 resting-state functional MRI (rsfMRI) phenotypes and endometriosis genetic datasets were analyzed using both forward and reverse MR approaches. Genetic Instrument Selection was performed to identify valid instrumental variables, ensuring their independence from confounders and strong association with the exposure. Sensitivity analyses were conducted to ensure the robustness of the findings. Results: Forward MR analysis identified three brain networks (Pheno20, Pheno38, Pheno44) significantly associated with endometriosis risk (P Discussion: This study highlights a complex bidirectional relationship between brain functional networks and endometriosis. Increased activity in specific networks may protect against or predispose individuals to certain subtypes of endometriosis. Conversely, endometriosis also can influence brain connectivity, potentially contributing to cognitive and emotional symptoms.

Indexed as

brain functional networksendometriosisMendelian randomizationresting-state fMRI

Identifiers

PMID39959755
PMCPMC11829589

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.