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Causal role of immune cells in alopecia areata: A two‐sample Mendelian randomization study.

Authors :
Xu, Wen
Shen, Yuqing
Sun, Jiayi
Wei, Dongfan
Xie, Bo
Song, Xiuzu
Source :
Skin Research & Technology; Jan2024, Vol. 30 Issue 1, p1-6, 6p
Publication Year :
2024

Abstract

Background: Previous research has highlighted an association between alopecia areata (AA) and the collapse of hair follicle immune privilege, however, the causal linkage to specific immune cell traits remains to be elucidated. This study aimed to investigate the causal influence of immune cell traits on AA utilizing a two‐sample Mendelian randomization (MR) approach. Methods: Leveraging GWAS summary statistics of 731 immunological traits (n = 3757) and AA data (n = 211,428), MR analyses were conducted employing inverse‐variance weighted (IVW), weighted median, and MR‐Egger regression methodologies. Sensitivity analyses were undertaken using Cochran's Q test, MR‐Egger intercept test, and MR‐PRESSO analysis. A reverse MR analysis was performed for immune cell traits identified in the initial MR analysis. Results: Our study unveiled multiple immune traits associated with AA. Protective associations were observed for CD62L‐ CD86+ myeloid dendritic cells (DCs), TD CD4+%CD4+ T cells, and others, with ORs ranging from 0.63 to 0.78. Conversely, traits like CD62L on CD62L+ plasmacytoid DCs, HLA‐DR on CD14‐ CD16+ monocytes, HLA‐DR on monocytes, and others, were determined to augment the risk of AA, with ORs ranging from 1.13 to 1.46. Reverse MR analysis signified a reduction in BAFF‐R on IgD‐CD24‐B cells post‐AA onset (OR: 0.97, 95% CI: 0.95–1.00), with no identified heterogeneity or horizontal pleiotropy among the instrumental variables (IVs). Conclusions: Our findings suggests that CD62L on certain subpopulations of DCs and HLA‐DR on monocytes may epitomize risk factors for AA, offering potential therapeutic targets for alleviating AA. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0909752X
Volume :
30
Issue :
1
Database :
Complementary Index
Journal :
Skin Research & Technology
Publication Type :
Academic Journal
Accession number :
175070171
Full Text :
https://doi.org/10.1111/srt.13579