Department of Cardiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Department of Gynecology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Front Immunol. 2023 Apr 5;14:1041591. doi: 10.3389/fimmu.2023.1041591. eCollection 2023.
Cardiac arrhythmia is a common disease associated with high mortality and morbidity. Circulating leukocyte counts, which serve as a biomarker for assessing systemic immune status, have been linked to arrhythmias in observational studies. However, observational studies are plagued by confounding factors and reverse causality, whether alterations in circulating leukocyte components are causally associated with arrhythmias remains uncertain. The present study explored this question based on genetic evidence.
We performed Mendelian randomization (MR) analysis to evaluate whether alterations in leukocyte counts affect aggregated risk of all types of arrhythmia or risk of five specific types of arrhythmia. Single-nucleotide polymorphisms serving as proxies for leukocyte differential counts were retrieved from the Blood Cell Consortium, and statistical data on arrhythmias were obtained from the UK Biobank), FinnGenand a meta-analysis of genome-wide association studies for atrial fibrillation. We applied inverse variance-weighted method as the primary analysis, complemented by a series of sensitivity analyses. Bidirectional analyses were conducted to assess reverse causality. Finally, multivariable MR was performed to study the joint effects of multiple risk factors. We found that genetically predicted differential leukocyte counts were not significantly associated with aggregated occurrence of all types of arrhythmia. In contrast, each 1-standard deviation increase in lymphocyte count was associated with 46% higher risk of atrioventricular block (OR 1.46, 95% CI 1.11-1.93, p=0.0065). A similar effect size was observed across all MR sensitivity analyses, with no evidence of horizontal pleiotropy. Reverse MR analysis suggested that atrioventricular block was unlikely to cause changes in lymphocyte count. Primary MR analysis based on the inverse-variance weighted method suggested that changes in neutrophil count alter risk of right bundle branch block, and changes in basophil count alter risk of atrial fibrillation. However, these causal relationships were not robust in sensitivity analyses. We found no compelling evidence that neutrophil or lymphocyte counts cause atrial fibrillation.
Our data support higher lymphocyte count as a causal risk factor for atrioventricular block. These results highlight the importance of immune cells in the pathogenesis of specific cardiac conduction disorders.
心律失常是一种常见的疾病,与高死亡率和高发病率相关。循环白细胞计数作为评估全身免疫状态的生物标志物,在观察性研究中与心律失常有关。然而,观察性研究受到混杂因素和反向因果关系的困扰,循环白细胞成分的改变是否与心律失常有因果关系仍不确定。本研究基于遗传证据探讨了这个问题。
我们进行了孟德尔随机化(MR)分析,以评估白细胞计数的改变是否会影响所有类型心律失常的综合风险或五种特定类型心律失常的风险。从血液细胞联盟中获取了作为白细胞分类计数替代物的单核苷酸多态性,并从英国生物库(UK Biobank)、芬兰基因(FinnGen)和全基因组关联研究荟萃分析中获取了心律失常的统计数据。我们应用逆方差加权法作为主要分析方法,辅以一系列敏感性分析。双向分析用于评估反向因果关系。最后,进行多变量 MR 分析以研究多个危险因素的联合效应。我们发现,遗传预测的白细胞分类计数与所有类型心律失常的综合发生无显著相关性。相反,淋巴细胞计数每增加 1 个标准差,房室传导阻滞的风险就会增加 46%(OR 1.46,95%CI 1.11-1.93,p=0.0065)。在所有 MR 敏感性分析中,都观察到了类似的效应大小,没有水平多效性的证据。反向 MR 分析表明,房室传导阻滞不太可能导致淋巴细胞计数的变化。基于逆方差加权法的主要 MR 分析表明,中性粒细胞计数的变化改变了右束支传导阻滞的风险,嗜碱性粒细胞计数的变化改变了心房颤动的风险。然而,这些因果关系在敏感性分析中并不稳健。我们没有确凿的证据表明中性粒细胞或淋巴细胞计数会导致心房颤动。
我们的数据支持更高的淋巴细胞计数是房室传导阻滞的一个因果危险因素。这些结果强调了免疫细胞在特定心脏传导障碍发病机制中的重要性。