College of Human Sport Science, Beijing Sport University, Beijing, China.
Sci Rep. 2024 Nov 3;14(1):26494. doi: 10.1038/s41598-024-78359-6.
Myocarditis is a common disease of the cardiovascular and immune systems, but the relationship between relevant blood metabolites and the risk of myocarditis has not been well-established. To identify potential biometabolic markers associated with myocarditis, we conducted a two-sample Mendelian randomization (MR) study. We performed preliminary MR analysis using the inverse variance weighted (IVW) method, supplemented by MR-Egger, weighted median, and weighted mode methods to adjust for false discovery rate (FDR). Confounders were screened using the GWAS Catalog website. Sensitivity analyses included Cochrane Q-test, Egger regression, Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO), scatterplots, funnel plots, and forest plots. For genetic and directional analysis, we employed co-localization analysis and the Steiger test. MR analysis was performed using the FinnGen database and meta-analysis was performed using the IEU database. MR analysis identified significant correlations for five metabolic biomarkers after FDR correction. These included four known metabolites: kynurenine, 1-stearoyl-GPE (18:0), deoxycarnitine, and 5-acetylamino-6-formylamino-3-methyluracil, as well as one unknown metabolite, X-25,422. Among these, kynurenine (OR = 1.441, 95%CI = 1.089-1.906, p-value = 0.018) and 1-stearoyl-GPE (18:0) (OR = 1.263, 95%CI = 1.029-1.550, p-value = 0.029) were identified as risk factors for myocarditis, while deoxycarnitine (OR = 0.813, 95%CI = 0.676-0.979, p-value = 0.029), 5-acetylamino-6-formylamino-3-methyluracil (OR = 0.864, 95% CI = 0.775-0.962, p-value = 0.018), and X-25,422 (OR = 0.721, 95%CI = 0.587-0.886, p-value = 0.009) were found to be protective factors. No evidence of heterogeneity, horizontal pleiotropy, or sensitivity issues was observed, and no shared genetic factors between exposure and outcome were detected. The causality was in the correct direction. Meta-analysis further confirmed the causal relationship between the five metabolites and myocarditis. This study identifies a causal relationship between five circulating metabolites and myocarditis. Kynurenine, 1-stearoyl-GPE (18:0), deoxycarnitine, X-25,422, and 5-acetylamino-6-formylamino-3-methyluracil may serve as potential drug targets for myocarditis, providing a theoretical basis for the prevention, diagnosis, and treatment of the condition.
心肌炎是一种常见的心血管和免疫系统疾病,但相关血液代谢物与心肌炎风险之间的关系尚未得到很好的确定。为了确定与心肌炎相关的潜在生物代谢标志物,我们进行了两样本孟德尔随机化(MR)研究。我们使用逆方差加权(IVW)方法进行了初步的 MR 分析,并补充了 MR-Egger、加权中位数和加权模式方法来调整假发现率(FDR)。混杂因素通过 GWAS 目录网站进行筛选。敏感性分析包括 Cochrane Q 检验、Egger 回归、孟德尔随机化多效性残余和离群值(MR-PRESSO)、散点图、漏斗图和森林图。对于遗传和方向性分析,我们采用共定位分析和 Steiger 检验。MR 分析使用 FinnGen 数据库进行,荟萃分析使用 IEU 数据库进行。MR 分析在 FDR 校正后确定了五个代谢生物标志物的显著相关性。其中包括四种已知代谢物:犬尿氨酸、1-硬脂酰-GPE(18:0)、脱氧肉碱和 5-乙酰氨基-6-甲酰氨基-3-甲基尿嘧啶,以及一种未知代谢物 X-25,422。其中,犬尿氨酸(OR=1.441,95%CI=1.089-1.906,p 值=0.018)和 1-硬脂酰-GPE(18:0)(OR=1.263,95%CI=1.029-1.550,p 值=0.029)被确定为心肌炎的危险因素,而脱氧肉碱(OR=0.813,95%CI=0.676-0.979,p 值=0.029)、5-乙酰氨基-6-甲酰氨基-3-甲基尿嘧啶(OR=0.864,95%CI=0.775-0.962,p 值=0.018)和 X-25,422(OR=0.721,95%CI=0.587-0.886,p 值=0.009)被确定为保护因素。未观察到异质性、水平多效性或敏感性问题,并且在暴露和结果之间没有检测到共同的遗传因素。因果关系的方向是正确的。荟萃分析进一步证实了这五个代谢物与心肌炎之间的因果关系。本研究确定了五种循环代谢物与心肌炎之间的因果关系。犬尿氨酸、1-硬脂酰-GPE(18:0)、脱氧肉碱、X-25,422 和 5-乙酰氨基-6-甲酰氨基-3-甲基尿嘧啶可能成为心肌炎的潜在药物靶点,为该疾病的预防、诊断和治疗提供了理论依据。