The mortality rates of COVID-19 vary widely across countries, but the underlying mechanisms remain unelucidated. We aimed at the elucidation of relationship between gut microbiota and the mortality rates of COVID-19 across countries. Raw sequencing data of 16S rRNA V3-V5 regions of gut microbiota in 953 healthy subjects in ten countries were obtained from the public database. We made a generalized linear model (GLM) to predict the COVID-19 mortality rates using gut microbiota. GLM revealed that low genus Collinsella predicted high COVID-19 mortality rates with a markedly low p -value. Unsupervised clustering of gut microbiota in 953 subjects yielded five enterotypes. The mortality rates were increased from enterotypes 1 to 5, whereas the abundances of Collinsella were decreased from enterotypes 1 to 5 except for enterotype 2. Collinsella produces ursodeoxycholate. Ursodeoxycholate was previously reported to inhibit binding of SARS-CoV-2 to angiotensin-converting enzyme 2; suppress pro-inflammatory cytokines like TNF-α, IL-1β, IL-2, IL-4, and IL-6; have antioxidant and anti-apoptotic effects; and increase alveolar fluid clearance in acute respiratory distress syndrome. Ursodeoxycholate produced by Collinsella may prevent COVID-19 infection and ameliorate acute respiratory distress syndrome in COVID-19 by suppressing cytokine storm syndrome.
【초록키워드】 COVID-19, SARS-CoV-2, Cytokine storm syndrome, antioxidant, database, 16S rRNA, Region, COVID-19 infection, gut microbiota, mortality rate, GLM, predict, mechanism, binding, TNF-α, IL-2, Angiotensin-converting enzyme, acute respiratory distress, IL-4, IL-1β, COVID-19 mortality, Generalized linear model, subject, syndrome, P -value, pro-inflammatory cytokine, sequencing data, Unsupervised clustering, alveolar fluid clearance, country, FIVE, Prevent, ursodeoxycholate, produced, predicted, reported, inhibit, suppress, healthy subject, anti-apoptotic, 【제목키워드】 COVID-19, Infection, mitigate, ursodeoxycholate, producing,