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The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis
[Image: see text] Introduction: With the outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the interaction between the host and SARS-CoV-2 was widely studied. However, it is unclear whether and how SARS-CoV-2 infection affects lun...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tabriz University of Medical Sciences (TUOMS Publishing Group)
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905590/ https://www.ncbi.nlm.nih.gov/pubmed/35411293 http://dx.doi.org/10.34172/bi.2021.23378 |
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author | Han, Yang Jia, Zhilong Shi, Jinlong Wang, Weidong He, Kunlun |
author_facet | Han, Yang Jia, Zhilong Shi, Jinlong Wang, Weidong He, Kunlun |
author_sort | Han, Yang |
collection | PubMed |
description | [Image: see text] Introduction: With the outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the interaction between the host and SARS-CoV-2 was widely studied. However, it is unclear whether and how SARS-CoV-2 infection affects lung microflora, which contribute to COVID-19 complications. Methods: Here, we analyzed the metatranscriptomic data of bronchoalveolar lavage fluid (BALF) of 19 COVID-19 patients and 23 healthy controls from 6 independent projects and detailed the active microbiota landscape in both healthy individuals and COVID-19 patients. Results: The infection of SARS-CoV-2 could deeply change the lung microbiota, evidenced by the α-diversity, β-diversity, and species composition analysis based on bacterial microbiota and virome. Pathogens (e.g., Klebsiella oxytoca causing pneumonia as well), immunomodulatory probiotics (e.g., lactic acid bacteria and Faecalibacterium prausnitzii, a butyrate producer), and Tobacco mosaic virus (TMV) were enriched in the COVID-19 group, suggesting a severe microbiota dysbiosis. The significant correlation between Rothia mucilaginosa, TMV, and SARS-CoV-2 revealed drastic inflammatory battles between the host, SARS-CoV-2, and other microbes in the lungs. Notably, TMV only existed in the COVID-19 group, while human respirovirus 3 (HRV 3) only existed in the healthy group. Our study provides insights into the active microbiota in the lungs of COVID-19 patients and would contribute to the understanding of the infection mechanism of SARS-CoV-2 and the treatment of the disease and complications. Conclusion: SARS-COV-2 infection deeply altered the lung microbiota of COVID-19 patients. The enrichment of several other pathogens, immunomodulatory probiotics (lactic acid or butyrate producers), and TMV in the COVID-19 group suggests a complex and active lung microbiota disorder. |
format | Online Article Text |
id | pubmed-8905590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Tabriz University of Medical Sciences (TUOMS Publishing Group) |
record_format | MEDLINE/PubMed |
spelling | pubmed-89055902022-04-10 The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis Han, Yang Jia, Zhilong Shi, Jinlong Wang, Weidong He, Kunlun Bioimpacts Original Research [Image: see text] Introduction: With the outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the interaction between the host and SARS-CoV-2 was widely studied. However, it is unclear whether and how SARS-CoV-2 infection affects lung microflora, which contribute to COVID-19 complications. Methods: Here, we analyzed the metatranscriptomic data of bronchoalveolar lavage fluid (BALF) of 19 COVID-19 patients and 23 healthy controls from 6 independent projects and detailed the active microbiota landscape in both healthy individuals and COVID-19 patients. Results: The infection of SARS-CoV-2 could deeply change the lung microbiota, evidenced by the α-diversity, β-diversity, and species composition analysis based on bacterial microbiota and virome. Pathogens (e.g., Klebsiella oxytoca causing pneumonia as well), immunomodulatory probiotics (e.g., lactic acid bacteria and Faecalibacterium prausnitzii, a butyrate producer), and Tobacco mosaic virus (TMV) were enriched in the COVID-19 group, suggesting a severe microbiota dysbiosis. The significant correlation between Rothia mucilaginosa, TMV, and SARS-CoV-2 revealed drastic inflammatory battles between the host, SARS-CoV-2, and other microbes in the lungs. Notably, TMV only existed in the COVID-19 group, while human respirovirus 3 (HRV 3) only existed in the healthy group. Our study provides insights into the active microbiota in the lungs of COVID-19 patients and would contribute to the understanding of the infection mechanism of SARS-CoV-2 and the treatment of the disease and complications. Conclusion: SARS-COV-2 infection deeply altered the lung microbiota of COVID-19 patients. The enrichment of several other pathogens, immunomodulatory probiotics (lactic acid or butyrate producers), and TMV in the COVID-19 group suggests a complex and active lung microbiota disorder. Tabriz University of Medical Sciences (TUOMS Publishing Group) 2022 2021-10-09 /pmc/articles/PMC8905590/ /pubmed/35411293 http://dx.doi.org/10.34172/bi.2021.23378 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc/4.0/ This work is published by BioImpacts as an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ). Non-commercial uses of the work are permitted, provided the original work is properly cited. |
spellingShingle | Original Research Han, Yang Jia, Zhilong Shi, Jinlong Wang, Weidong He, Kunlun The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis |
title | The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis |
title_full | The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis |
title_fullStr | The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis |
title_full_unstemmed | The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis |
title_short | The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis |
title_sort | active lung microbiota landscape of covid-19 patients through the metatranscriptome data analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905590/ https://www.ncbi.nlm.nih.gov/pubmed/35411293 http://dx.doi.org/10.34172/bi.2021.23378 |
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