COVID-19感染患者根据疾病严重程度有不同的口咽微生物组成和多样性指标。然而,这些发现在文献中并不一致.我们进行了一个多中心,对需要门诊和住院管理的COVID-19患者进行前瞻性研究,以探索门分类群的微生物丰度,家庭,属,和物种水平,我们利用α和β多样性指数来进一步描述我们的发现。我们在进入研究时收集了口咽冲洗标本,这与COVID-19的诊断相吻合,进行所有分析。我们纳入了43名患者的研究,其中16人作为门诊病人进行管理,27人需要住院治疗。变形杆菌,放线菌,拟杆菌,芽孢杆菌TM7,梭杆菌,螺旋藻是患者中最丰富的门,虽然检测到61个不同的家庭,其中链球菌科和葡萄球菌科是最主要的。共检出132个微生物属,链球菌是门诊患者的主要属,与住院患者相比,葡萄球菌属占主导地位。LeFSe分析在研究参与者的口咽冲洗液中鉴定出57种微生物,可以区分COVID-19感染症状的严重程度。Alpha多样性分析未显示各组之间细菌物种的丰度差异,但是β多样性分析在住院患者和门诊患者之间建立了不同的微生物群落。我们的研究提供了口咽微生物群与SARS-CoV-2感染之间复杂关联的信息。虽然我们的研究不能确定因果关系,了解SARS-CoV-2感染严重程度增加的特定分类学变化,可以为COVID-19患者的预后分类提供新的线索.
Patients with COVID-19 infection have distinct oropharyngeal microbiota composition and diversity metrics according to disease severity. However, these findings are not consistent across the literature. We conducted a multicenter, prospective
study in patients with COVID-19 requiring outpatient versus inpatient management to explore the microbial abundance of taxa at the phylum, family, genus, and species level, and we utilized alpha and beta diversity indices to further describe our findings. We collected oropharyngeal washing specimens at the time of
study entry, which coincided with the COVID-19 diagnosis, to conduct all analyses. We included 43 patients in the
study, of whom 16 were managed as outpatients and 27 required hospitalization. Proteobacteria, Actinobacteria, Bacteroidetes, Saccharibacteria TM7, Fusobacteria, and Spirochaetes were the most abundant phyla among patients, while 61 different families were detected, of which the Streptococcaceae and Staphylococcaceae families were the most predominant. A total of 132 microbial genera were detected, with Streptococcus being the predominant genus in outpatients, in contrast to hospitalized patients, in whom the Staphylococcus genus was predominant. LeFSe analysis identified 57 microbial species in the oropharyngeal washings of
study participants that could discriminate the severity of symptoms of COVID-19 infections. Alpha diversity analysis did not reveal a difference in the abundance of bacterial species between the groups, but beta diversity analysis established distinct microbial communities between inpatients and outpatients. Our study provides information on the complex association between the oropharyngeal microbiota and SARS-CoV-2 infection. Although our
study cannot establish causation, knowledge of specific taxonomic changes with increasing SARS-CoV-2 infection severity can provide us with novel clues for the prognostic classification of COVID-19 patients.