孟德尔随机化分析在探索免疫细胞表型与阿尔茨海默病关系中的应用。

IF 1.3 4区 医学 Q3 CLINICAL NEUROLOGY
Journal of Nervous and Mental Disease Pub Date : 2025-10-01 Epub Date: 2025-09-16 DOI:10.1097/NMD.0000000000001851
Jia Guo, Han Zhang, Zhengguang Geng, Ninan Dai, Bao Fu, Qing-Xia Kong, Xiaoyun Fu
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引用次数: 0

摘要

本研究探讨了免疫炎症与阿尔茨海默病(AD)之间的相关性,重点关注免疫-脑相互作用对神经发育和功能的影响。方法:采用双样本孟德尔随机化方法,采用bonferroni校正错误发现率(FDR)进行多重检验,利用公开遗传数据分析731例免疫细胞信号。结果:6种免疫表型被鉴定为显著增加AD风险(效应值范围为OR=1.038 ~ 1.123),包括HLA DR作用于CD33+ HLA DR+ CD14-、HLA DR作用于CD14+单核细胞、CD4+ CD8dim T细胞(%淋巴细胞)、CD33作用于HLA DR作用于CD14+ CD16-单核细胞、CD33作用于CD33+ HLA-DR+ CD14dim细胞和CD11c作用于CD62L+骨髓树突状细胞。结论:本研究证实了特异性免疫细胞与AD之间的遗传关联,强调了AD风险的潜在免疫相关生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Mendelian Randomization Analysis on the Exploration of the Association Between Immune Cell Phenotypes and Alzheimer's disease.

Introduction: This study explores the correlation between immune inflammation and Alzheimer's disease (AD), focusing on immune-brain interactions impacting neurodevelopment and function.

Methods: Public genetic data were used to analyze 731 immune cell signals, employing two-sample Mendelian randomization, with multiple testing corrected by the Bonferroni-adjusted false discovery rate (FDR).

Results: Six immune phenotypes were identified as significantly increasing AD risk (effect sizes ranging from OR =1.038 to 1.123), including HLA DR on CD33+ HLA DR+ CD14-, HLA DR on CD14+ monocyte, CD4+ CD8dim T cells (% lymphocytes), CD33 on HLA DR on CD14+ CD16- monocyte, CD33 on CD33+ HLA-DR+ CD14dim cells and CD11c on CD62L+ myeloid dendritic cell.

Conclusion: This study confirms the genetic association between specific immune cells and AD, highlighting potential immune-related biomarkers for AD risk.

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来源期刊
CiteScore
2.90
自引率
5.30%
发文量
233
审稿时长
3-8 weeks
期刊介绍: The Journal of Nervous and Mental Disease publishes peer-reviewed articles containing new data or ways of reorganizing established knowledge relevant to understanding and modifying human behavior, especially that defined as impaired or diseased, and the context, applications and effects of that knowledge. Our policy is summarized by the slogan, "Behavioral science for clinical practice." We consider articles that include at least one behavioral variable, clear definition of study populations, and replicable research designs. Authors should use the active voice and first person whenever possible.
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