Chen Yuling, Chen Chang
Department of Clinical Laboratory, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong, Sichuan, China.
Medical Department, Nanchong Guoning Mental Health Hospital, Nanchong, Sichuan, China.
Medicine (Baltimore). 2025 Mar 14;104(11):e41852. doi: 10.1097/MD.0000000000041852.
Several studies have suggested that inflammatory proteins may be associated with Coronavirus disease 2019 (COVID-19). However, the specific causal relationship between the 2 and whether blood metabolites act as mediators remains unclear. Therefore, the purpose of the present study is to investigate the causal relationship between inflammatory proteins and COVID-19 and to identify and quantify the role of blood metabolites as potential mediators. Two-sample Mendelian randomization (MR) and 2-step mediated MR analyses were used to investigate the causal relationships between 91 inflammatory proteins, 486 blood metabolites and COVID-19. A random-effects inverse variance weighted (IVW) approach was used as the primary analytical method, supplemented by weighted medians, MR-Egger and MR multivariate residual sums, and outliers to test MR hypotheses. Our results showed that 2 inflammatory proteins (interleukin-10 and interleukin-18) were positively associated with COVID-19 risk, while 1 inflammatory protein (PD-L1) was negatively associated. Further validation was performed using sensitivity analysis. The results of mediated MR showed that Betaine was a mediator of PD-L1 to COVID-19 with a mediation ratio of 15.92%. Our study suggests a genetic causality between specific inflammatory proteins and COVID-19, highlights the potential mediating role of the blood metabolite betaine, and contributes to a deeper understanding of the mechanism of action of severe COVID-19.
多项研究表明,炎症蛋白可能与2019冠状病毒病(COVID-19)有关。然而,两者之间的具体因果关系以及血液代谢物是否起到中介作用仍不清楚。因此,本研究的目的是调查炎症蛋白与COVID-19之间的因果关系,并识别和量化血液代谢物作为潜在中介的作用。采用两样本孟德尔随机化(MR)和两步中介MR分析来研究91种炎症蛋白、486种血液代谢物与COVID-19之间的因果关系。主要分析方法采用随机效应逆方差加权(IVW)法,并辅以加权中位数、MR-Egger和MR多元残差和以及离群值检验MR假设。我们的结果显示,2种炎症蛋白(白细胞介素-10和白细胞介素-18)与COVID-19风险呈正相关,而1种炎症蛋白(程序性死亡受体配体1,PD-L1)呈负相关。使用敏感性分析进行了进一步验证。中介MR结果显示,甜菜碱是PD-L1与COVID-19之间的中介,中介比例为15.92%。我们的研究表明特定炎症蛋白与COVID-19之间存在遗传因果关系,突出了血液代谢物甜菜碱的潜在中介作用,并有助于更深入地了解重症COVID-19的作用机制。