Wang Qiubo, Liu Yingbo, Xu Zhenxing, Wang Zhimiao, Xue Mei, Li Xinran, Wang Ye
Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China.
Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Front Microbiol. 2023 Sep 14;14:1259579. doi: 10.3389/fmicb.2023.1259579. eCollection 2023.
Previous observational studies have shown that a potential relationship between anti- () IgG levels and Myocardial Infarction (MI). Nevertheless, the evidence for the causal inferences remains disputable. To further clarify the relationship between anti- IgG levels and MI and explore its pathogenesis, we conducted a Mendelian randomization (MR) analysis.
In this study, we used two-sample Mendelian Randomization (MR) to assess the causality of anti- IgG levels on MI and potential pathogenesis, 12 single nucleotide polymorphisms (SNPs) related to anti- IgG levels were obtained from the European Bioinformatics Institute (EBI). Summary data from a large-scale GWAS meta-analysis of MI was utilized as the outcome dataset. Summary data of mediators was obtained from the FinnGen database, the UK Biobank, the EBI database, MRC-IEU database, the International Consortium of Blood Pressure, the Consortium of Within family GWAS. Inverse variance weighted (IVW) analysis under the fixed effect model was identified as our main method. To ensure the reliability of the findings, many sensitivity analyses were performed.
Our study revealed that increases of anti- IgG levels were significantly related to an increased risk of MI (OR, 1.104; 95% CI,1.042-1.169; = 7.084 × 10) and decreases in HDL cholesterol levels (, -0.016; 95% CI, -0.026 to -0.006; = 2.02 × 10). In addition, there was no heterogeneity or pleiotropy in our findings.
This two-sample MR analysis revealed the causality of anti- IgG levels on MI, which might be explained by lower HDL cholesterol levels. Further research is needed to clarify the results.
既往观察性研究表明抗（）IgG水平与心肌梗死（MI）之间可能存在关联。然而，因果推断的证据仍存在争议。为进一步阐明抗IgG水平与MI之间的关系并探讨其发病机制，我们进行了孟德尔随机化（MR）分析。
在本研究中，我们采用两样本孟德尔随机化（MR）来评估抗IgG水平对MI的因果关系及潜在发病机制，从欧洲生物信息学研究所（EBI）获取了12个与抗IgG水平相关的单核苷酸多态性（SNP）。将MI的大规模全基因组关联研究（GWAS）荟萃分析的汇总数据用作结果数据集。中介因素的汇总数据来自芬兰基因数据库、英国生物银行、EBI数据库、MRC - IEU数据库、国际血压联盟、家系内GWAS联盟。固定效应模型下的逆方差加权（IVW）分析被确定为我们的主要方法。为确保研究结果的可靠性，我们进行了多项敏感性分析。
我们的研究表明，抗IgG水平升高与MI风险增加显著相关（比值比，1.104；95%可信区间，1.042 - 1.1
