Abstract

Background: The pandemic of Coronavirus disease 2019 (COVID-19) is ongoing globally, which is a big challenge for public health. Alteration of human microbiota had been observed in COVID-19. However, it is unknown how the microbiota is associated with the fatality in COVID-19.Methods: We conducted metatranscriptome sequencing on 588 longitudinal oropharyngeal swab specimens collected from 192 COVID-19 patients recruited in the LOTUS clinical trial (Registration number: ChiCTR2000029308) (including 39 deceased patients), and 95 healthy controls from the same geographic area.Findings: The upper respiratory tract (URT) microbiota in COVID-19 patients differed from that in healthy controls, while deceased patients possessed a more distinct microbiota. Streptococcus was enriched in recovered patients, whereas potential pathogens, including Candida and Enterococcus, were more abundant in deceased patients. Moreover, the microbiota dominated by Streptococcus was more stable than that dominated by other species. In contrast, the URT microbiota in deceased patients showed a more significant alteration and became more deviated from the norm after admission. The abundance of Streptococcus on admission, particularly that of S. parasanguis, was identified as a strong predictor of fatality by Cox and L1 regularized logistic regression analysis, thus could be used as a potential prognostic biomarker of COVID-19.Interpretation Alteration of the URT microbiota was observed in COVID-19 patients and was associated with the fatality rate. A higher abundance of Streptococcus, especially S. parasanguis, on admission in oropharyngeal swabs predicts a better outcome. The generalization of the results in other populations and underlying mechanisms need further investigations.Trial Registration: Participants were enrolled in ChiCTR2000029308.Funding: This study was funded in part by the National Major Science & Technology Project for Control and Prevention of Major Infectious Diseases in China (2017ZX10103004, 2018ZX10301401), the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (2019-I2M-2-XX, 2016-I2M-1-014, 2018-I2M-1-003), The Non-profit Central Research Institute Fund of CAMS (2020HY320001, 2019PT310029), Beijing Advanced Innovation Center for Genomics (ICG), and Beijing Advanced Innovation Center for Structural Biology (ICSB).Declaration of Interests: All authors declare no competing interests.Ethics Approval Statement: The study was approved by the Institutional Review Board of Jin Yin-Tan Hospital (KY2020-02.01). Written informed consent was obtained from all patients or their legal representatives if they were too unwell to provide consent.

Highlights

  • Coronavirus disease 2019 (COVID-19) has infected more than 30 million people worldwide

  • We conducted metatranscriptome sequencing on 588 longitudinal oropharyngeal swab specimens collected from 192 COVID-19 patients recruited in the LOTUS clinical trial (Registration number: ChiCTR2000029308), and 95 healthy controls from the same geographic area

  • We have demonstrated the features and dynamics of the upper respiratory tract (URT) microbiota and its association with the fatality in COVID-19 patients using the LOTUS cohort

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Summary

Introduction

Coronavirus disease 2019 (COVID-19) has infected more than 30 million people worldwide. Most patients showed mild symptoms or were asymptomatic[1], approximately 14% developed severe diseases, 5% were critically ill[2], and the overall fatality rate is 3.2%. Older people and patients with underlying diseases are at increased risk for severe illness from COVID-19 and have a higher fatality rate. Other risk factors include smoking history, pregnancy, male, and obesity[3]. Genetic variants on toll-like receptor 7, ABO blood group locus, and 3p21.31 gene cluster were associated with the severe COVID194,5. Biomarkers to monitor disease progression and predict clinical outcomes have been developed, including antibody concentration[6], serum proteins, metabolites[7], as well as combinations of regular inflammatory and coagulation markers (e.g., procalcitonin, interleukin 6, and D-dimer)[8]

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