任志刚+崔光莹:新冠肺炎相关的口咽菌群特征
创作:Pumpkin 审核:aluba 2021年09月02日
  • 对73例COVID-19确诊病例(CC)、36例疑似病例(SC)、21例康复确诊病例、36例康复疑似病例、140例健康对照(H)的口咽菌群进行测序分析;
  • 与H相比,CC的口咽菌群的α-多样性显著降低,条件致病菌增加,产丁酸菌减少;
  • 基于口咽菌群标志物,可有效诊断出SC中的CC(IgG抗体阳性);
  • 随着COVID-19的恢复,一些H与CC之间差异显著的菌属相应地逐渐增加或减少;
  • 44个口咽菌群OTU与11个SARS-CoV-2感染的临床指标相关。
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郑州大学第一附属医院的任志刚、崔光莹与团队在Advanced Science上发表的一项最新研究,发现基于口咽菌群标志物可区分出新冠疑似患者中的确诊患者,并鉴定出了多个与新冠感染临床指标相关的口咽菌群OTU。
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Advanced Science [IF:17.521]

Characterization of the Human Oropharyngeal Microbiomes in SARS-CoV-2 Infection and Recovery Patients

SARS-CoV-2感染和康复患者的口咽菌群特征分析

10.1002/advs.202102785

2021-08-22, Article

Abstract & Authors:展开

Abstract:收起
Respiratory tract microbiome is closely related to respiratory tract infections, while characterization of oropharyngeal microbiome in recovered coronavirus disease 2019 (COVID-19) patients is not studied. Herein, oropharyngeal swabs are collected from confirmed cases (CCs) with COVID-19 (73 subjects), suspected cases (SCs) (36), confirmed cases who recovered (21), suspected cases who recovered (36), and healthy controls (Hs) (140) and then completed MiSeq sequencing. Oropharyngeal microbial α-diversity is markedly reduced in CCs versus Hs. Opportunistic pathogens are increased, while butyrate-producing genera are decreased in CCs versus Hs. The classifier based on eight optimal microbial markers is constructed through a random forest model and reached great diagnostic efficacy in both discovery and validation cohorts. Notably, the classifier successfully diagnosed SCs with positive IgG antibody as CCs and is demonstrated from the perspective of the microbiome. Importantly, several genera with significant differences gradually increase and decrease along with recovery from COVID-19. Forty-four oropharyngeal operational taxonomy units (OTUs) are closely correlated with 11 clinical indicators of SARS-CoV-2 infection and Hs based on Spearman correlation analysis. Together, this research is the first to characterize oropharyngeal microbiota in recovered COVID-19 cases and suspected cases, to successfully construct and validate the diagnostic model for COVID-19 and to depict the correlations between microbial OTUs and clinical indicators.

First Authors:
Ming Gao

Correspondence Authors:
Guangying Cui,Zhigang Ren

All Authors:
Ming Gao,Haiyu Wang,Hong Luo,Ying Sun,Ling Wang,Suying Ding,Hongyan Ren,Jiaqi Gang,Benchen Rao,Shanshuo Liu,Xuemei Wang,Xinxin Gao,Mengyi Li,Yawen Zou,Chao Liu,Chengyu Yuan,Jiarui Sun,Guangying Cui,Zhigang Ren

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