单位:[1]NHC Key Laboratory of Systems Biology of Pathogens and ChristopheMerieux Laboratory, Institute of Pathogen Biology,Chinese Academy of Medical Sciences and Peking UnionMedical College, Beijing, China[2]Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking UnionMedical College, Beijing, China[3]Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases,China-Japan Friendship Hospital, Beijing, China[4]Department of RespiratoryMedicine, Capital Medical University, Beijing, China[5]Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China[6]University of Chinese Academy of Sciences, Beijing, China[7]Wuhan Research Center for Communicable Disease Diagnosis and Treatment, Chinese Academy of Medical Sciences, Wuhan, China[8]School of Life Sciences, Beijing Advanced Innovation Center for Structural Biology, and Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China[9]Institute of ClinicalMedical Sciences, China-Japan Friendship Hospital, Beijing, China[10]Biomedical Pioneering Innovation Center, Beijing Advanced Innovation Center for Genomics, College of Chemistry, and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China[11]Institute of Respiratory Medicine, Chinese Academy of Medical Science, Beijing, China[12]Institute for Cell Analysis, Shenzhen Bay Laboratory, Guangdong, China[13]Tsinghua University–Peking University Joint Center for Life Sciences, Beijing, China[14]Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
Rationale: Alteration of human respiratory microbiota had been observed in coronavirus disease (COVID-19). How the microbiota is associated with the prognosis in COVID-19 is unclear. Objectives: To characterize the feature and dynamics of the respiratory microbiota and its associations with clinical features in patients with COVID-19. Methods: We conducted metatranscriptome sequencing on 588 longitudinal oropharyngeal swab specimens collected from 192 patients with COVID-19 (including 39 deceased patients) and 95 healthy controls from the same geographic area. Meanwhile, the concentration of 27 cytokines and chemokines in plasma was measured for patients with COVID-19. Measurements and Main Results: The upper respiratory tract (URT) microbiota in patients with COVID-19 differed from that in healthy controls, whereas deceased patients possessed a more distinct microbiota, both on admission and before discharge/death. The alteration of URT microbiota showed a significant correlation with the concentration of proinflammatory cytokines and mortality. Specifically, Streptococcus-dominated microbiota was enriched in recovered patients, and showed high temporal stability and resistance against pathogens. In contrast, the microbiota in deceased patients was more susceptible to secondary infections and became more deviated from the norm after admission. Moreover, the abundance of S. parasanguinis on admission was significantly correlated with prognosis in nonsevere patients (lower vs. higher abundance, odds ratio, 7.80; 95% CI, 1.70-42.05). Conclusions: URT microbiota dysbiosis is a remarkable manifestation of COVID-19; its association with mortality suggests it may reflect the interplay between pathogens, symbionts, and the host immune status. Whether URT microbiota could be used as a biomarker for diagnosis and prognosis of respiratory diseases merits further investigation.
基金:
National Major Science and Technology Project for Control and Prevention of Major Infectious Diseases in China [2017ZX10103004]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [82161148009]; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences [CIFMS 2020-I2M-2-013, 2018-I2M-1-003, 2020-I2M-CoV19-005]; National Key R&D Program of China [2020YFC0848900]; Beijing Municipal Science and Technology CommissionBeijing Municipal Science & Technology Commission [Z191100006619100, Z201100005320016, Z201100007920017]; Beijing Advanced Innovation Center for Genomics; Beijing Advanced Innovation Center for Structural Biology
第一作者单位:[1]NHC Key Laboratory of Systems Biology of Pathogens and ChristopheMerieux Laboratory, Institute of Pathogen Biology,Chinese Academy of Medical Sciences and Peking UnionMedical College, Beijing, China[2]Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking UnionMedical College, Beijing, China
共同第一作者:
通讯作者:
通讯机构:[5]Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China[6]University of Chinese Academy of Sciences, Beijing, China[14]Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China[*1]Beijing Institute of Genomics, Chinese Academy of Sciences, No. 1-104, Beichen West Road, Chaoyang District, Beijing 100101, China.
推荐引用方式(GB/T 7714):
Ren Lili,Wang Yeming,Zhong Jiaxin,et al.Dynamics of the Upper Respiratory Tract Microbiota and Its Association with Mortality in COVID-19[J].AMERICAN JOURNAL of RESPIRATORY and CRITICAL CARE MEDICINE.2021,204(12):1379-1390.doi:10.1164/rccm.202103-0814OC.
APA:
Ren Lili,Wang Yeming,Zhong Jiaxin,Li Xia,Xiao Yan...&Li Mingkun.(2021).Dynamics of the Upper Respiratory Tract Microbiota and Its Association with Mortality in COVID-19.AMERICAN JOURNAL of RESPIRATORY and CRITICAL CARE MEDICINE,204,(12)
MLA:
Ren Lili,et al."Dynamics of the Upper Respiratory Tract Microbiota and Its Association with Mortality in COVID-19".AMERICAN JOURNAL of RESPIRATORY and CRITICAL CARE MEDICINE 204..12(2021):1379-1390