Ma Zhao, Liu Libo, Tian Jinfan, Tu Chenchen, Zhang Dongfeng, Zhang Mingduo, Zhang Huan, An Ziyu, Sun Meichen, Zhang Hongjia, Song Xiantao
Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Department of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Rev Cardiovasc Med. 2024 Sep 11;25(9):326. doi: 10.31083/j.rcm2509326. eCollection 2024 Sep.
Currently, the causal relationship between lymphocyte subsets and coronary artery disease (CAD) remains unclear. Therefore, we utilized Mendelian randomization (MR) to assess the association between lymphocyte subsets and CAD.
We performed a two-sample MR analysis using publicly available genome-wide association studies (GWAS) datasets. The primary method of analysis to comprehensively evaluate causal effects was the inverse variance-weighted (IVW) method. The four additional MR approaches were MR-Egger, weighted median, simple mode, and weighted mode. Sensitivity analysis incorporated Cochran's Q and MR-Egger intercept tests to identify residual heterogeneity and potential horizontal pleiotropy, respectively. The MR-PRESSO distortion test was applied to identify potential pleiotropic outliers. Leave-one-out analysis confirmed that no single single-nucleotide polymorphism (SNP) significantly affected the MR estimate. We conducted reverse MR analysis to investigate the impact of variables correlated with outcomes in forward MR analysis.
The IVW method revealed a significant positive association between B cell count and CAD (odds ratio (OR) = 1.08 (95% CI: 1.04, 1.11), = 2.67 × 10). A similar association was observed between B cell count and myocardial infarction (MI) (OR = 1.07 (95% CI: 1.03, 1.11), = 5.69 × 10). Sensitivity analyses detected no outliers, heterogeneity, or pleiotropy. The reverse MR analysis was conducted to investigate the impact of CAD and MI on B cell count, and the IVW results showed no statistical significance.
Our study suggests that a higher absolute B cell count is linked to an increased risk of CAD and MI.
目前，淋巴细胞亚群与冠状动脉疾病（CAD）之间的因果关系仍不明确。因此，我们利用孟德尔随机化（MR）来评估淋巴细胞亚群与CAD之间的关联。
我们使用公开可用的全基因组关联研究（GWAS）数据集进行了两样本MR分析。综合评估因果效应的主要分析方法是逆方差加权（IVW）法。另外四种MR方法是MR-Egger法、加权中位数法、简单模式法和加权模式法。敏感性分析分别纳入Cochran's Q检验和MR-Egger截距检验，以识别残留异质性和潜在的水平多效性。应用MR-PRESSO畸变检验来识别潜在的多效性异常值。留一法分析证实，没有单个单核苷酸多态性（SNP）显著影响MR估计值。我们进行了反向MR分析，以研究正向MR分析中与结果相关的变量的影响。
IVW法显示B细胞计数与CAD之间存在显著正相关（优势比（OR）=1.08（95%CI：1.04，1.11），P = 2.67×10⁻⁴）。在B细胞计数与心肌梗死（MI）之间也观察到类似的关联（OR = 1.07（95%CI：1.03，1.11），P = 5.69×10⁻⁵）。敏感性分析未检测到异常值、异质性或多效性。进行反向MR分析以研究CAD和MI对B细胞计数的影响，IVW结果显示无统计学意义。
我们的研究表明，较高的绝对B细胞计数与CAD和MI风险增加有关。
