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免疫细胞与脑出血:通过孟德尔随机化进行的因果关系研究

Immune Cells and Intracerebral Hemorrhage: A Causal Investigation Through Mendelian Randomization.

作者信息

Mo Liumei, Pan Wei, Cao Wenjing, Wang Kui, Huang Li'an

机构信息

Department of Neurology, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China.

Department of Cardiology, Foshan Women and Children Hospital, Foshan, Guangdong, China.

出版信息

Brain Behav. 2025 Jan;15(1):e70263. doi: 10.1002/brb3.70263.

Abstract

BACKGROUND

The involvement of immune cells in the pathophysiology of intracerebral hemorrhage (ICH) is becoming increasingly recognized, yet their specific causal contributions remain uncertain. The objective of this research is to uncover the potential causal interactions between diverse immune cells and ICH using Mendelian randomization (MR) analysis.

METHODS

Genetic variants associated with 731 immune cell traits were sourced from a comprehensive genome-wide association study (GWAS) involving 3757 participants. Summary statistics data for ICH were acquired from FinnGen, comprising 4056 ICH cases and 371,717 controls. The principal analytical tool utilized in our study was the inverse-variance weighted (IVW) method, incorporated as a key component of a two-sample MR approach. To mitigate potential biases and verify the stability of the conclusions drawn from the primary analytical methods, a series of sensitivity analyses were performed.

RESULTS

MR analysis elucidated 33 immune cell traits with causal associations, comprising B cells (eight traits), conventional dendritic cells (cDC, two traits), maturation stages of T cells (two traits), monocytes (two traits), myeloid cells (five traits), TBNK cells (six traits), and regulatory T cells (Treg, eight traits). DP (CD4+CD8+) %T cell (OR = 0.83, CI = 0.72-0.96, p = 0.013) exhibited the strongest protective effect. In contrast, transitional AC (OR = 1.09, CI = 1.02-1.16, p = 0.006) and IgD- CD27- %lymphocyte (OR = 1.08, CI = 1.00-1.17, p = 0.045) showed a higher tendency to increase the ICH risk. The sensitivity analyses validated the robustness and consistency of these results.

CONCLUSION

Our research provides robust evidence substantiating the causal relationship between specific immunophenotypes and ICH risk. The identification of these findings significantly enhances our understanding of the pathogenic mechanisms underlying ICH, particularly pertaining to the immune system. This breakthrough paves the way for innovative clinical and pharmaceutical research opportunities, potentially promoting the development of targeted therapies and enhanced strategies for managing and preventing ICH.

摘要

背景

免疫细胞在脑出血(ICH)病理生理学中的作用日益受到认可,但其具体因果贡献仍不明确。本研究的目的是利用孟德尔随机化(MR)分析揭示不同免疫细胞与ICH之间潜在的因果相互作用。

方法

与731种免疫细胞特征相关的基因变异来自一项涉及3757名参与者的全面全基因组关联研究(GWAS)。ICH的汇总统计数据来自芬兰基因库,包括4056例ICH病例和371,717名对照。本研究使用的主要分析工具是逆方差加权(IVW)方法,它是两样本MR方法的关键组成部分。为了减轻潜在偏差并验证从主要分析方法得出的结论的稳定性,进行了一系列敏感性分析。

结果

MR分析阐明了33种具有因果关联的免疫细胞特征,包括B细胞(8种特征)、常规树突状细胞(cDC,2种特征)、T细胞成熟阶段(2种特征)、单核细胞(2种特征)、髓细胞(5种特征)、TBNK细胞(6种特征)和调节性T细胞(Treg,8种特征)。DP(CD4 + CD8 +)%T细胞(OR = 0.83,CI = 0.72 - 0.96,p = 0.013)表现出最强的保护作用。相比之下,过渡性AC(OR = 1.09,CI = 1.02 - 1.16,p = 0.006)和IgD - CD27 - %淋巴细胞(OR = 1.08,CI = 1.00 - 1.17,p = 0.045)显示出增加ICH风险的更高倾向。敏感性分析验证了这些结果的稳健性和一致性。

结论

我们的研究提供了有力证据,证实了特定免疫表型与ICH风险之间的因果关系。这些发现的确定显著增强了我们对ICH潜在致病机制的理解,特别是与免疫系统相关的机制。这一突破为创新的临床和药物研究机会铺平了道路,可能推动针对性治疗的发展以及改进ICH管理和预防策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e11/11726649/2058e09d5077/BRB3-15-e70263-g001.jpg

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