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COVID-19 patients exhibit unique transcriptional signatures indicative of disease severity

COVID-19 manifests a spectrum of respiratory symptoms, with the more severe often requiring hospitalization. To identify markers for disease progression, we analyzed longitudinal gene expression data from patients with confirmed SARS-CoV-2 infection admitted to the intensive care unit (ICU) for acut...

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Autores principales: Daamen, Andrea R., Bachali, Prathyusha, Bonham, Catherine A., Somerville, Lindsay, Sturek, Jeffrey M., Grammer, Amrie C., Kadl, Alexandra, Lipsky, Peter E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522616/
https://www.ncbi.nlm.nih.gov/pubmed/36189236
http://dx.doi.org/10.3389/fimmu.2022.989556
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author Daamen, Andrea R.
Bachali, Prathyusha
Bonham, Catherine A.
Somerville, Lindsay
Sturek, Jeffrey M.
Grammer, Amrie C.
Kadl, Alexandra
Lipsky, Peter E.
author_facet Daamen, Andrea R.
Bachali, Prathyusha
Bonham, Catherine A.
Somerville, Lindsay
Sturek, Jeffrey M.
Grammer, Amrie C.
Kadl, Alexandra
Lipsky, Peter E.
author_sort Daamen, Andrea R.
collection PubMed
description COVID-19 manifests a spectrum of respiratory symptoms, with the more severe often requiring hospitalization. To identify markers for disease progression, we analyzed longitudinal gene expression data from patients with confirmed SARS-CoV-2 infection admitted to the intensive care unit (ICU) for acute hypoxic respiratory failure (AHRF) as well as other ICU patients with or without AHRF and correlated results of gene set enrichment analysis with clinical features. The results were then compared with a second dataset of COVID-19 patients separated by disease stage and severity. Transcriptomic analysis revealed that enrichment of plasma cells (PCs) was characteristic of all COVID-19 patients whereas enrichment of interferon (IFN) and neutrophil gene signatures was specific to patients requiring hospitalization. Furthermore, gene expression results were used to divide AHRF COVID-19 patients into 2 groups with differences in immune profiles and clinical features indicative of severe disease. Thus, transcriptomic analysis reveals gene signatures unique to COVID-19 patients and provides opportunities for identification of the most at-risk individuals.
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spelling pubmed-95226162022-10-01 COVID-19 patients exhibit unique transcriptional signatures indicative of disease severity Daamen, Andrea R. Bachali, Prathyusha Bonham, Catherine A. Somerville, Lindsay Sturek, Jeffrey M. Grammer, Amrie C. Kadl, Alexandra Lipsky, Peter E. Front Immunol Immunology COVID-19 manifests a spectrum of respiratory symptoms, with the more severe often requiring hospitalization. To identify markers for disease progression, we analyzed longitudinal gene expression data from patients with confirmed SARS-CoV-2 infection admitted to the intensive care unit (ICU) for acute hypoxic respiratory failure (AHRF) as well as other ICU patients with or without AHRF and correlated results of gene set enrichment analysis with clinical features. The results were then compared with a second dataset of COVID-19 patients separated by disease stage and severity. Transcriptomic analysis revealed that enrichment of plasma cells (PCs) was characteristic of all COVID-19 patients whereas enrichment of interferon (IFN) and neutrophil gene signatures was specific to patients requiring hospitalization. Furthermore, gene expression results were used to divide AHRF COVID-19 patients into 2 groups with differences in immune profiles and clinical features indicative of severe disease. Thus, transcriptomic analysis reveals gene signatures unique to COVID-19 patients and provides opportunities for identification of the most at-risk individuals. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9522616/ /pubmed/36189236 http://dx.doi.org/10.3389/fimmu.2022.989556 Text en Copyright © 2022 Daamen, Bachali, Bonham, Somerville, Sturek, Grammer, Kadl and Lipsky https://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
Daamen, Andrea R.
Bachali, Prathyusha
Bonham, Catherine A.
Somerville, Lindsay
Sturek, Jeffrey M.
Grammer, Amrie C.
Kadl, Alexandra
Lipsky, Peter E.
COVID-19 patients exhibit unique transcriptional signatures indicative of disease severity
title COVID-19 patients exhibit unique transcriptional signatures indicative of disease severity
title_full COVID-19 patients exhibit unique transcriptional signatures indicative of disease severity
title_fullStr COVID-19 patients exhibit unique transcriptional signatures indicative of disease severity
title_full_unstemmed COVID-19 patients exhibit unique transcriptional signatures indicative of disease severity
title_short COVID-19 patients exhibit unique transcriptional signatures indicative of disease severity
title_sort covid-19 patients exhibit unique transcriptional signatures indicative of disease severity
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522616/
https://www.ncbi.nlm.nih.gov/pubmed/36189236
http://dx.doi.org/10.3389/fimmu.2022.989556
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