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不同精神障碍与雄激素性脱发和斑秃的因果关联:一项双向两样本孟德尔随机化研究

 

Authors Hu C , Cheng Z, Tao Y, Zhang L, Zhang Y, Chen Z

Received 1 April 2025

Accepted for publication 4 July 2025

Published 11 July 2025 Volume 2025:18 Pages 1727—1736

DOI https://doi.org/10.2147/CCID.S531734

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Anne-Claire Fougerousse

Chunyu Hu,* Zhen Cheng,* Yuanling Tao, Laixi Zhang, Yalan Zhang, Zongtao Chen

Health Management Center, the First Affiliated Hospital of Army Medical University, Chongqing, 400038, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Zongtao Chen, Health Management Center, the First Affiliated Hospital of Army Medical University, 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, People’s Republic of China, Tel/Fax +86 023-68765227, Email chenzongtao@tmmu.edu.cn

Background: The concern that mental states affect the hair-loss has been growing, but the causal evidence is still limited. We aimed to investigate whether and in which direction there is a causal link of distinct mental disorders with androgenetic alopecia (AGA) and alopecia areata (AA) in European population.
Methods: We performed a bidirectional two-sample Mendelian randomization (MR) study to test their causality using summary statistics. The datasets of major depression disorder, anxiety disorder, panic attack, distress, and bipolar disorder were all accessed through the IEU OpenGWAS project. The datasets employed for AGA and AA analysis were sourced from the FinnGen release 10 databases, including 219,469 (220 AGA cases and 219,249 controls) and 394,872 (767 AA cases and 394,105 controls) participants, respectively. We utilized five extensively employed MR techniques to explore the bidirectional causal associations, including inverse variance weighted (IVW), weighted median, MR-Egger, weighted mode, and penalised weighted median.
Results: Based on the IVW method, a bidirectional causal association was revealed whereby major depression disorder is associated with an increased risk of AA (OR: 1.59; 95% CI: 1.16– 2.17) and vice versa (OR: 1.02; 95% CI: 1.00– 1.03). Notably, the statistical power of MR estimates was both < 80%. No association of any genetically predicted mental disorders with AGA was found. Sensitivity analyses substantiated the robustness and reliability of our findings.
Conclusion: Our findings showed a bidirectional causal association between major depression disorder and AA, supporting the importance of therapies aimed at handling mental states for the prevention or treatment of AA rather than AGA.

Keywords: major depression disorder, androgenetic alopecia, alopecia areata, Mendelian randomization