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Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19
COVID-19 is characterized by respiratory symptoms of various severities, ranging from mild upper respiratory signs to acute respiratory failure/acute respiratory distress syndrome associated with a high mortality rate. However, the pathophysiology of the disease is largely unknown. Shotgun metagenom...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032121/ https://www.ncbi.nlm.nih.gov/pubmed/33780519 http://dx.doi.org/10.1371/journal.ppat.1009416 |
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author | Rodriguez, Christophe de Prost, Nicolas Fourati, Slim Lamoureux, Claudie Gricourt, Guillaume N’debi, Melissa Canoui-Poitrine, Florence Désveaux, Isaac Picard, Oriane Demontant, Vanessa Trawinski, Elisabeth Lepeule, Raphaël Surgers, Laure Vindrios, William Lelièvre, Jean-Daniel Mongardon, Nicolas Langeron, Olivier Cohen, José L. Mekontso-Dessap, Armand Woerther, Paul-Louis Pawlotsky, Jean-Michel |
author_facet | Rodriguez, Christophe de Prost, Nicolas Fourati, Slim Lamoureux, Claudie Gricourt, Guillaume N’debi, Melissa Canoui-Poitrine, Florence Désveaux, Isaac Picard, Oriane Demontant, Vanessa Trawinski, Elisabeth Lepeule, Raphaël Surgers, Laure Vindrios, William Lelièvre, Jean-Daniel Mongardon, Nicolas Langeron, Olivier Cohen, José L. Mekontso-Dessap, Armand Woerther, Paul-Louis Pawlotsky, Jean-Michel |
author_sort | Rodriguez, Christophe |
collection | PubMed |
description | COVID-19 is characterized by respiratory symptoms of various severities, ranging from mild upper respiratory signs to acute respiratory failure/acute respiratory distress syndrome associated with a high mortality rate. However, the pathophysiology of the disease is largely unknown. Shotgun metagenomics from nasopharyngeal swabs were used to characterize the genomic, metagenomic and transcriptomic features of patients from the first pandemic wave with various forms of COVID-19, including outpatients, patients hospitalized not requiring intensive care, and patients in the intensive care unit, to identify viral and/or host factors associated with the most severe forms of the disease. Neither the genetic characteristics of SARS-CoV-2, nor the detection of bacteria, viruses, fungi or parasites were associated with the severity of pulmonary disease. Severe pneumonia was associated with overexpression of cytokine transcripts activating the CXCR2 pathway, whereas patients with benign disease presented with a T helper “Th1-Th17” profile. The latter profile was associated with female gender and a lower mortality rate. Our findings indicate that the most severe cases of COVID-19 are characterized by the presence of overactive immune cells resulting in neutrophil pulmonary infiltration which, in turn, could enhance the inflammatory response and prolong tissue damage. These findings make CXCR2 antagonists, in particular IL-8 antagonists, promising candidates for the treatment of patients with severe COVID-19. |
format | Online Article Text |
id | pubmed-8032121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80321212021-04-15 Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 Rodriguez, Christophe de Prost, Nicolas Fourati, Slim Lamoureux, Claudie Gricourt, Guillaume N’debi, Melissa Canoui-Poitrine, Florence Désveaux, Isaac Picard, Oriane Demontant, Vanessa Trawinski, Elisabeth Lepeule, Raphaël Surgers, Laure Vindrios, William Lelièvre, Jean-Daniel Mongardon, Nicolas Langeron, Olivier Cohen, José L. Mekontso-Dessap, Armand Woerther, Paul-Louis Pawlotsky, Jean-Michel PLoS Pathog Research Article COVID-19 is characterized by respiratory symptoms of various severities, ranging from mild upper respiratory signs to acute respiratory failure/acute respiratory distress syndrome associated with a high mortality rate. However, the pathophysiology of the disease is largely unknown. Shotgun metagenomics from nasopharyngeal swabs were used to characterize the genomic, metagenomic and transcriptomic features of patients from the first pandemic wave with various forms of COVID-19, including outpatients, patients hospitalized not requiring intensive care, and patients in the intensive care unit, to identify viral and/or host factors associated with the most severe forms of the disease. Neither the genetic characteristics of SARS-CoV-2, nor the detection of bacteria, viruses, fungi or parasites were associated with the severity of pulmonary disease. Severe pneumonia was associated with overexpression of cytokine transcripts activating the CXCR2 pathway, whereas patients with benign disease presented with a T helper “Th1-Th17” profile. The latter profile was associated with female gender and a lower mortality rate. Our findings indicate that the most severe cases of COVID-19 are characterized by the presence of overactive immune cells resulting in neutrophil pulmonary infiltration which, in turn, could enhance the inflammatory response and prolong tissue damage. These findings make CXCR2 antagonists, in particular IL-8 antagonists, promising candidates for the treatment of patients with severe COVID-19. Public Library of Science 2021-03-29 /pmc/articles/PMC8032121/ /pubmed/33780519 http://dx.doi.org/10.1371/journal.ppat.1009416 Text en © 2021 Rodriguez et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Rodriguez, Christophe de Prost, Nicolas Fourati, Slim Lamoureux, Claudie Gricourt, Guillaume N’debi, Melissa Canoui-Poitrine, Florence Désveaux, Isaac Picard, Oriane Demontant, Vanessa Trawinski, Elisabeth Lepeule, Raphaël Surgers, Laure Vindrios, William Lelièvre, Jean-Daniel Mongardon, Nicolas Langeron, Olivier Cohen, José L. Mekontso-Dessap, Armand Woerther, Paul-Louis Pawlotsky, Jean-Michel Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 |
title | Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 |
title_full | Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 |
title_fullStr | Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 |
title_full_unstemmed | Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 |
title_short | Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19 |
title_sort | viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of covid-19 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032121/ https://www.ncbi.nlm.nih.gov/pubmed/33780519 http://dx.doi.org/10.1371/journal.ppat.1009416 |
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