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脑功能网络与子宫内膜异位症之间的因果关系:一项大规模基因驱动的观察性研究
Authors Feng S, Wang Y, Liu S, Zhang Y, He L
Received 14 December 2024
Accepted for publication 2 February 2025
Published 11 February 2025 Volume 2025:17 Pages 369—376
DOI https://doi.org/10.2147/IJWH.S508593
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Vinay Kumar
Songwei Feng,1,* Yuru Wang,1,* Sicong Liu,2,* Yueming Zhang,1 Leilei He1
1Department of Obstetrics and Gynaecology, The Fourth Affiliated Hospital of Soochow University, Suzhou, People’s Republic of China; 2Department of Obstetrics and Gynaecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Leilei He, Email helei0609@163.com
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 FDR < 0.05). Notably, Pheno38 activity was inversely associated with fallopian tube endometriosis, whereas Pheno20 and Pheno44 were positively linked to adenomyosis. Reverse MR analysis revealed that endometriosis of the ovary was inversely associated with functional connectivity in Pheno932, a network involved in cognitive and attention processes. Sensitivity analyses confirmed the reliability of these results.
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.
Keywords: endometriosis, brain functional networks, resting-state fMRI, Mendelian randomization