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Immune and Metabolic Signatures of COVID-19 Revealed by Transcriptomics Data Reuse

The current pandemic of coronavirus disease 19 (COVID-19) has affected millions of individuals and caused thousands of deaths worldwide. The pathophysiology of the disease is complex and mostly unknown. Therefore, identifying the molecular mechanisms that promote progression of the disease is critic...

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Autores principales: Gardinassi, Luiz G., Souza, Camila O. S., Sales-Campos, Helioswilton, Fonseca, Simone G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332781/
https://www.ncbi.nlm.nih.gov/pubmed/32670298
http://dx.doi.org/10.3389/fimmu.2020.01636
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author Gardinassi, Luiz G.
Souza, Camila O. S.
Sales-Campos, Helioswilton
Fonseca, Simone G.
author_facet Gardinassi, Luiz G.
Souza, Camila O. S.
Sales-Campos, Helioswilton
Fonseca, Simone G.
author_sort Gardinassi, Luiz G.
collection PubMed
description The current pandemic of coronavirus disease 19 (COVID-19) has affected millions of individuals and caused thousands of deaths worldwide. The pathophysiology of the disease is complex and mostly unknown. Therefore, identifying the molecular mechanisms that promote progression of the disease is critical to overcome this pandemic. To address such issues, recent studies have reported transcriptomic profiles of cells, tissues and fluids from COVID-19 patients that mainly demonstrated activation of humoral immunity, dysregulated type I and III interferon expression, intense innate immune responses and inflammatory signaling. Here, we provide novel perspectives on the pathophysiology of COVID-19 using robust functional approaches to analyze public transcriptome datasets. In addition, we compared the transcriptional signature of COVID-19 patients with individuals infected with SARS-CoV-1 and Influenza A (IAV) viruses. We identified a core transcriptional signature induced by the respiratory viruses in peripheral leukocytes, whereas the absence of significant type I interferon/antiviral responses characterized SARS-CoV-2 infection. We also identified the higher expression of genes involved in metabolic pathways including heme biosynthesis, oxidative phosphorylation and tryptophan metabolism. A BTM-driven meta-analysis of bronchoalveolar lavage fluid (BALF) from COVID-19 patients showed significant enrichment for neutrophils and chemokines, which were also significant in data from lung tissue of one deceased COVID-19 patient. Importantly, our results indicate higher expression of genes related to oxidative phosphorylation both in peripheral mononuclear leukocytes and BALF, suggesting a critical role for mitochondrial activity during SARS-CoV-2 infection. Collectively, these data point for immunopathological features and targets that can be therapeutically exploited to control COVID-19.
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spelling pubmed-73327812020-07-14 Immune and Metabolic Signatures of COVID-19 Revealed by Transcriptomics Data Reuse Gardinassi, Luiz G. Souza, Camila O. S. Sales-Campos, Helioswilton Fonseca, Simone G. Front Immunol Immunology The current pandemic of coronavirus disease 19 (COVID-19) has affected millions of individuals and caused thousands of deaths worldwide. The pathophysiology of the disease is complex and mostly unknown. Therefore, identifying the molecular mechanisms that promote progression of the disease is critical to overcome this pandemic. To address such issues, recent studies have reported transcriptomic profiles of cells, tissues and fluids from COVID-19 patients that mainly demonstrated activation of humoral immunity, dysregulated type I and III interferon expression, intense innate immune responses and inflammatory signaling. Here, we provide novel perspectives on the pathophysiology of COVID-19 using robust functional approaches to analyze public transcriptome datasets. In addition, we compared the transcriptional signature of COVID-19 patients with individuals infected with SARS-CoV-1 and Influenza A (IAV) viruses. We identified a core transcriptional signature induced by the respiratory viruses in peripheral leukocytes, whereas the absence of significant type I interferon/antiviral responses characterized SARS-CoV-2 infection. We also identified the higher expression of genes involved in metabolic pathways including heme biosynthesis, oxidative phosphorylation and tryptophan metabolism. A BTM-driven meta-analysis of bronchoalveolar lavage fluid (BALF) from COVID-19 patients showed significant enrichment for neutrophils and chemokines, which were also significant in data from lung tissue of one deceased COVID-19 patient. Importantly, our results indicate higher expression of genes related to oxidative phosphorylation both in peripheral mononuclear leukocytes and BALF, suggesting a critical role for mitochondrial activity during SARS-CoV-2 infection. Collectively, these data point for immunopathological features and targets that can be therapeutically exploited to control COVID-19. Frontiers Media S.A. 2020-06-26 /pmc/articles/PMC7332781/ /pubmed/32670298 http://dx.doi.org/10.3389/fimmu.2020.01636 Text en Copyright © 2020 Gardinassi, Souza, Sales-Campos and Fonseca. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Gardinassi, Luiz G.
Souza, Camila O. S.
Sales-Campos, Helioswilton
Fonseca, Simone G.
Immune and Metabolic Signatures of COVID-19 Revealed by Transcriptomics Data Reuse
title Immune and Metabolic Signatures of COVID-19 Revealed by Transcriptomics Data Reuse
title_full Immune and Metabolic Signatures of COVID-19 Revealed by Transcriptomics Data Reuse
title_fullStr Immune and Metabolic Signatures of COVID-19 Revealed by Transcriptomics Data Reuse
title_full_unstemmed Immune and Metabolic Signatures of COVID-19 Revealed by Transcriptomics Data Reuse
title_short Immune and Metabolic Signatures of COVID-19 Revealed by Transcriptomics Data Reuse
title_sort immune and metabolic signatures of covid-19 revealed by transcriptomics data reuse
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332781/
https://www.ncbi.nlm.nih.gov/pubmed/32670298
http://dx.doi.org/10.3389/fimmu.2020.01636
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