与主动脉夹层相关的免疫细胞的因果特征:孟德尔随机分析。

European cardiology Pub Date : 2025-04-01 eCollection Date: 2025-01-01 DOI:10.15420/ecr.2024.44
Tian-le Li, Mao-Long Fu, Li-Hong Wang, Jian-Long Wang, Ying-Wu Liu, Lei Huang
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引用次数: 0

摘要

背景:本研究利用孟德尔随机化(MR)研究了731种免疫细胞特征与主动脉夹层(AD)之间的因果关系。通过鉴定导致AD的特定免疫细胞表型,我们探讨了它们在风险分层和治疗干预方面的临床意义。方法:一个双变量MR框架分析了免疫细胞属性和AD之间的因果动力学,使用遗传变异作为工具变量。从全基因组关联研究中获得了731种免疫表型的汇总统计数据。单变量MR分析采用反方差加权法,辅以敏感性分析。水平多效性评估采用MR- egger和MR多效性残差和异常值。通过基因型-组织表达(GTEx)数据库鉴定出显著的顺式表达数量性状位点(eQTL),然后进行组织特异性表达和通路分析。结果:4种免疫表型与AD呈正向因果关系,1种呈负向因果关系。致病性状包括CD19在过渡性B细胞、免疫球蛋白D- CD38dim B细胞、CD3在CD39+ CD4+ Treg细胞、CD3在CD39+活化Treg细胞上的中位荧光强度。保护性特征是CD86+骨髓树突状细胞的绝对计数。敏感性分析证实了这些关联。途径富集分析强调了显著的动脉富集和关键的生物学过程,确定了SLAMF6和CD28是关键基因。结论:该研究提示了特定免疫细胞特征在AD发病机制中的潜在因果作用,尽管由于研究的局限性,这些发现应谨慎解释。已鉴定的免疫细胞类型和相关的eQTL基因为临床风险分层和治疗干预提供了有希望的靶点。未来的研究应侧重于将这些发现转化为患者护理的实用策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Causal Characteristics of Immune Cells Associated with Aortic Dissection: A Mendelian Randomisation Analysis.

Causal Characteristics of Immune Cells Associated with Aortic Dissection: A Mendelian Randomisation Analysis.

Causal Characteristics of Immune Cells Associated with Aortic Dissection: A Mendelian Randomisation Analysis.

Causal Characteristics of Immune Cells Associated with Aortic Dissection: A Mendelian Randomisation Analysis.

Background: This study investigates the causal relationships between 731 immune cell traits and aortic dissection (AD) using Mendelian randomisation (MR). By identifying specific immune cell phenotypes contributing to AD, we explore their clinical implications for risk stratification and therapeutic interventions.

Methods: A bivariate MR framework analysed the causal dynamics between immune cell attributes and AD, using genetic variants as instrumental variables. Summary statistics from a genome-wide association study for 731 immune phenotypes were obtained. Univariable MR analysis was conducted using the inverse-variance weighted method supplemented by sensitivity analyses. Horizontal pleiotropy was assessed using MR-Egger and MR pleiotropy residual sum and outlier. Significant cis-expression quantitative trait loci (eQTL) were identified via the Genotype-Tissue Expression (GTEx) database, followed by tissue-specific expression and pathway analyses.

Results: Four immunophenotypes exhibited positive causal effects on AD, while one showed a negative effect. Pathogenic traits included the median fluorescence intensity of CD19 on transitional B cells, immunoglobulin D- CD38dim B cells, CD3 on CD39+ CD4+ Treg cells, and CD3 on CD39+ activated Treg cells. The protective trait was the absolute count of CD86+ myeloid dendritic cells. Sensitivity analyses validated these associations. Pathway enrichment analysis highlighted significant arterial enrichments and key biological processes, identifying SLAMF6 and CD28 as key genes.

Conclusion: This study suggests potential causal roles for specific immune cell traits in AD pathogenesis, although these findings should be interpreted with caution due to study limitations. The identified immune cell types and associated eQTL genes offer promising targets for clinical risk stratification and therapeutic interventions. Future research should focus on translating these findings into practical strategies for patient care.

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