不同类型茶摄入与COVID-19感染风险之间的关系:一项基于双样本孟德尔随机化研究  

Association between different types of tea intake and risk of COVID-19 infection:a two-sample Mendelian randomization study

作　　者：王聪智 鲍丙宏 张子悦 赵康 张雨露 杨柳 张林 张冬梅 李晓萍 王敏[3] WANG Congzhi;BAO Binghong;ZHANG Ziyue;ZHAO Kang;ZHANG Yulu;YANG Liu;ZHANG Lin;ZHANG Dongmei;LI Xiaoping;WANG Min(School of Nursing,Wannan Medical College,Wuhu 241001,China;School of Nursing and Rehabilitation,Shandong University;Department of Pharmacy,Hainan Provincial People's Hospital)

机构地区：[1]皖南医学院护理学院,安徽芜湖241001 [2]山东大学护理与康复学院 [3]海南省人民医院药学部

出　　处：《沈阳医学院学报》2025年第2期160-167,共8页Journal of Shenyang Medical College

基　　金：2024年度校级重点科研基金项目(No.WK2024SZD03);2020年度省级大学生创新创业计划项目(No.S202010368023);2023年度省级大学生创新创业计划项目(No.S202310368040);2024年度省级和国家级大学生创新创业计划项目(No.S202410368044,No.202410368044)。

摘　　要：目的:探讨不同类型茶摄入与COVID-19感染之间的关系。方法:采用数据来源于全基因组关联研究(GWAS),纳入447 485和64 949人作为单核苷酸多态性(SNPs)的工具。采用双样本孟德尔随机化(MR)分析,探讨不同类型茶摄入与COVID-19感染人群与普通人群、COVID-19住院人群与普通人群、COVID-19住院与未住院人群,以及非常严重的呼吸道确诊人群与普通人群的关系。采用逆方差加权方法 (IVW)作为因果分析的主要方法。多向性检验采用MR Egger截距检验,异质性检验采用Cochran's Q检验。结果:与一般人群相比,茶叶的摄入降低人群感染COVID-19 (IVW法,OR=0.806,95%CI:0.651~0.999),以及住院人群(IVW法,OR=0.533,95%CI:0.369~0.770)。此外,在MR-Egger回归截距(MRintercept=-0.002,P=0.667)未发现潜在多效性,Cochran'sQ检验结果显示无异质性(Q-statistic=52.712,P=0.057)。与普通人群相比,住院患者的MR-Egger回归截距没有发现潜在的多效性(MRintercept=-0.001,P=0.909),Cochran'sQ检验结果显示无异质性(Q-statistic=25.214,P=0.945)。而绿茶和草药茶对COVID-19感染均无影响。结论:从基因的角度探讨,与COVID-19感染和住院人群相比,总体茶摄入可降低普通人群感染COVID-19的风险,而绿茶和草药茶对COVID-19感染没有保护作用。Objective:To investigate the relationship between different types of tea intake and COVID-19 infection.Methods:Data were retrieved from a genome-wide association study(GWAS),involving 447485,and 64949 people for single nucleotide polymorphisms(SNPs).Two-sample Mendelian randomization(MR)analysis was used to investigate the relationship of different types of tea intake with four subgroups of COVID-19 infected population,including COVID-19 infected population versus general population,COVID-19 hospitalized population versus general population,COVID-19 hospitalized population versus non-hospitalized population,and very severe respiratory confirmed population versus general population.Inverse-variance weighted(IVW)method was used as the main method of causal analysis.MR Egger intercept was used for pleiotropy test,and Cochran's Q-statistic was used for heterogeneity test.Results:Compared to the general population,tea intake decreased the incidence of COVID-19 in the infection population(IVW method,OR=0.806,95%CI:0.651-0.999),and the hospitalized population(IVW method,OR=0.533,95%CI:0.369-0.770).Additionally,the underlying pleiotropy was not found following the MR-Egger regression intercept(MR intercept=-0.002,P=0.667),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=52.712,P=0.057).Compared to the general population,the underlying pleiotropy in the hospitalized patients was not found by MR-Egger regression intercept(MR intercept=-0.001,P=0.909),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=25.214,P=0.945).However,green tea and herbal tea had no effect on COVID-19 infection.Conclusions:Overall tea intake reduces the risk of COVID-19 infection in the general population compared to COVID-19 infected and hospitalized populations,while green tea and herbal tea have no protective effect against COVID-19 infection.

关 键 词：茶摄入 COVID-19 感染 两样本 孟德尔随机化研究 

分 类 号：R281.5[医药卫生—中药学]