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茶摄入量与新型冠状病毒肺炎感染及严重程度之间的因果关联。

Causal associations of tea intake with COVID-19 infection and severity.

作者信息

Baranova Ancha, Song Yuqing, Cao Hongbao, Yue Weihua, Zhang Fuquan

机构信息

School of Systems Biology, George Mason University, Manassas, VA, United States.

Research Centre for Medical Genetics, Moscow, Russia.

出版信息

Front Nutr. 2023 Jan 4;9:1005466. doi: 10.3389/fnut.2022.1005466. eCollection 2022.

Abstract

Tea ingredients can effectively inhibit SARS-CoV-2 infection at adequate concentrations. It is not known whether tea intake could impact the susceptibility to COVID-19 or its severity. We aimed to evaluate the causal effects of tea intake on COVID-19 outcomes. We performed Mendelian randomization (MR) analyses to assess the causal associations between tea intake ( = 441,279) and three COVID-19 outcomes, including SARS-CoV-2 infection (122,616 cases and 2,475,240 controls), hospitalized COVID-19 (32,519 cases and 2,062,805 controls), and critical COVID-19 (13,769 cases and 1,072,442 controls). The MR analyses indicated that genetic propensity for tea consumption conferred a negative causal effect on the risk of SARS-CoV-2 infection (OR: 0.87, 95% confidence interval (CI): 0.78-0.97, = 0.015). No causal effects on hospitalized COVID-19 (0.84, 0.64-1.10, = 0.201) or critical COVID-19 (0.73, 0.51-1.03, = 0.074) were detected. Our study revealed that tea intake could decrease the risk of SARS-CoV-2 infection, highlighting the potential preventive effect of tea consumption on COVID-19 transmission.

摘要

茶成分在适当浓度下可有效抑制新型冠状病毒(SARS-CoV-2)感染。尚不清楚饮茶是否会影响对2019冠状病毒病(COVID-19)的易感性或其严重程度。我们旨在评估饮茶对COVID-19结局的因果效应。我们进行了孟德尔随机化(MR)分析,以评估饮茶(n = 441,279)与三种COVID-19结局之间的因果关联,这三种结局包括SARS-CoV-2感染(122,616例病例和2,475,240例对照)、COVID-19住院(32,519例病例和2,062,805例对照)以及重症COVID-19(13,769例病例和1,072,442例对照)。MR分析表明,饮茶的遗传倾向对SARS-CoV-2感染风险具有负向因果效应(比值比:0.87,95%置信区间(CI):0.78 - 0.97,P = 0.015)。未检测到对COVID-19住院(0.84,0.64 - 1.10,P = 0.201)或重症COVID-19(0.73,0.51 - 1.03,P = 0.074)的因果效应。我们的研究表明,饮茶可降低SARS-CoV-2感染风险,突出了饮茶对COVID-19传播的潜在预防作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2431/9848307/58fcf4040c18/fnut-09-1005466-g0001.jpg

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