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10.1093/cid/ciaa709

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32497191!7314193!32497191
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suck abstract from ncbi


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pmid32497191      Clin+Infect+Dis 2020 ; 71 (10): 2669-2678
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  • Alterations of the Gut Microbiota in Patients With Coronavirus Disease 2019 or H1N1 Influenza #MMPMID32497191
  • Gu S; Chen Y; Wu Z; Chen Y; Gao H; Lv L; Guo F; Zhang X; Luo R; Huang C; Lu H; Zheng B; Zhang J; Yan R; Zhang H; Jiang H; Xu Q; Guo J; Gong Y; Tang L; Li L
  • Clin Infect Dis 2020[Dec]; 71 (10): 2669-2678 PMID32497191show ga
  • BACKGROUND: Coronavirus disease 2019 (COVID-19) is an emerging serious global health problem. Gastrointestinal symptoms are common in COVID-19 patients, and severe acute respiratory syndrome coronavirus 2 RNA has been detected in stool specimens. However, the relationship between the gut microbiome and disease remains to be established. METHODS: We conducted a cross-sectional study of 30 patients with COVID-19, 24 patients with influenza A(H1N1), and 30 matched healthy controls (HCs) to identify differences in the gut microbiota by 16S ribosomal RNA gene V3-V4 region sequencing. RESULTS: Compared with HCs, COVID-19 patients had significantly reduced bacterial diversity; a significantly higher relative abundance of opportunistic pathogens, such as Streptococcus, Rothia, Veillonella, and Actinomyces; and a lower relative abundance of beneficial symbionts. Five biomarkers showed high accuracy for distinguishing COVID-19 patients from HCs with an area under the curve (AUC) up to 0.89. Patients with H1N1 displayed lower diversity and different overall microbial composition compared with COVID-19 patients. Seven biomarkers were selected to distinguish the 2 cohorts (AUC = 0.94). CONCLUSIONS: The gut microbial signature of patients with COVID-19 was different from that of H1N1 patients and HCs. Our study suggests the potential value of the gut microbiota as a diagnostic biomarker and therapeutic target for COVID-19, but further validation is needed.
  • |*COVID-19[MESH]
  • |*Gastrointestinal Microbiome[MESH]
  • |*Influenza A Virus, H1N1 Subtype/genetics[MESH]
  • |*Influenza, Human[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Dysbiosis[MESH]
  • |Feces[MESH]
  • |Humans[MESH]
  • |RNA, Ribosomal, 16S/genetics[MESH]


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