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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9522616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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