Dynamics of gene expression profiling and identification of high-risk patients for severe COVID-19

The clinical manifestations of SARS-CoV-2 infection vary widely, from asymptomatic infection to the development of acute respiratory distress syndrome (ARDS) and death. The host response elicited by SARS-CoV-2 plays a key role in determining the clinical outcome. We hypothesized that determining the...

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Autores: Rombauts, Alexander, Bódalo-Torruella, Marta, Abelenda-Alonso, Gabriela, Perera Bel, Júlia, Ferrer Salvador, Anna, Acedo-Terrades, Ariadna, Gabarrós-Subirà, Maria, Oriol, Isabel, Gudiol, Carlota, Nonell Mazelon, Lara, 1972-, Carratalà, Jordi
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/57572
Acceso en línea:http://hdl.handle.net/10230/57572
http://dx.doi.org/10.3390/biomedicines11051348
Access Level:acceso abierto
Palabra clave:ARDS
COVID-19
SARS-CoV-2
Gene expression
Prognosis
Transcriptomics
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spelling Dynamics of gene expression profiling and identification of high-risk patients for severe COVID-19Rombauts, AlexanderBódalo-Torruella, MartaAbelenda-Alonso, GabrielaPerera Bel, JúliaFerrer Salvador, AnnaAcedo-Terrades, AriadnaGabarrós-Subirà, MariaOriol, IsabelGudiol, CarlotaNonell Mazelon, Lara, 1972-Carratalà, JordiARDSCOVID-19SARS-CoV-2Gene expressionPrognosisTranscriptomicsThe clinical manifestations of SARS-CoV-2 infection vary widely, from asymptomatic infection to the development of acute respiratory distress syndrome (ARDS) and death. The host response elicited by SARS-CoV-2 plays a key role in determining the clinical outcome. We hypothesized that determining the dynamic whole blood transcriptomic profile of hospitalized adult COVID-19 patients and characterizing the subgroup that develops severe disease and ARDS would broaden our understanding of the heterogeneity in clinical outcomes. We recruited 60 hospitalized patients with RT-PCR-confirmed SARS-CoV-2 infection, among whom 19 developed ARDS. Peripheral blood was collected using PAXGene RNA tubes within 24 h of admission and on day 7. There were 2572 differently expressed genes in patients with ARDS at baseline and 1149 at day 7. We found a dysregulated inflammatory response in COVID-19 ARDS patients, with an increased expression of genes related to pro-inflammatory molecules and neutrophil and macrophage activation at admission, in addition to an immune regulation loss. This led, in turn, to a higher expression of genes related to reactive oxygen species, protein polyubiquitination, and metalloproteinases in the latter stages. Some of the most significant differences in gene expression found between patients with and without ARDS corresponded to long non-coding RNA involved in epigenetic control.MDPI202320232023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/57572http://dx.doi.org/10.3390/biomedicines11051348reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésBiomedicines. 2023 May 3;11(5):1348© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/575722026-06-12T07:21:37Z
dc.title.none.fl_str_mv Dynamics of gene expression profiling and identification of high-risk patients for severe COVID-19
title Dynamics of gene expression profiling and identification of high-risk patients for severe COVID-19
spellingShingle Dynamics of gene expression profiling and identification of high-risk patients for severe COVID-19
Rombauts, Alexander
ARDS
COVID-19
SARS-CoV-2
Gene expression
Prognosis
Transcriptomics
title_short Dynamics of gene expression profiling and identification of high-risk patients for severe COVID-19
title_full Dynamics of gene expression profiling and identification of high-risk patients for severe COVID-19
title_fullStr Dynamics of gene expression profiling and identification of high-risk patients for severe COVID-19
title_full_unstemmed Dynamics of gene expression profiling and identification of high-risk patients for severe COVID-19
title_sort Dynamics of gene expression profiling and identification of high-risk patients for severe COVID-19
dc.creator.none.fl_str_mv Rombauts, Alexander
Bódalo-Torruella, Marta
Abelenda-Alonso, Gabriela
Perera Bel, Júlia
Ferrer Salvador, Anna
Acedo-Terrades, Ariadna
Gabarrós-Subirà, Maria
Oriol, Isabel
Gudiol, Carlota
Nonell Mazelon, Lara, 1972-
Carratalà, Jordi
author Rombauts, Alexander
author_facet Rombauts, Alexander
Bódalo-Torruella, Marta
Abelenda-Alonso, Gabriela
Perera Bel, Júlia
Ferrer Salvador, Anna
Acedo-Terrades, Ariadna
Gabarrós-Subirà, Maria
Oriol, Isabel
Gudiol, Carlota
Nonell Mazelon, Lara, 1972-
Carratalà, Jordi
author_role author
author2 Bódalo-Torruella, Marta
Abelenda-Alonso, Gabriela
Perera Bel, Júlia
Ferrer Salvador, Anna
Acedo-Terrades, Ariadna
Gabarrós-Subirà, Maria
Oriol, Isabel
Gudiol, Carlota
Nonell Mazelon, Lara, 1972-
Carratalà, Jordi
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ARDS
COVID-19
SARS-CoV-2
Gene expression
Prognosis
Transcriptomics
topic ARDS
COVID-19
SARS-CoV-2
Gene expression
Prognosis
Transcriptomics
description The clinical manifestations of SARS-CoV-2 infection vary widely, from asymptomatic infection to the development of acute respiratory distress syndrome (ARDS) and death. The host response elicited by SARS-CoV-2 plays a key role in determining the clinical outcome. We hypothesized that determining the dynamic whole blood transcriptomic profile of hospitalized adult COVID-19 patients and characterizing the subgroup that develops severe disease and ARDS would broaden our understanding of the heterogeneity in clinical outcomes. We recruited 60 hospitalized patients with RT-PCR-confirmed SARS-CoV-2 infection, among whom 19 developed ARDS. Peripheral blood was collected using PAXGene RNA tubes within 24 h of admission and on day 7. There were 2572 differently expressed genes in patients with ARDS at baseline and 1149 at day 7. We found a dysregulated inflammatory response in COVID-19 ARDS patients, with an increased expression of genes related to pro-inflammatory molecules and neutrophil and macrophage activation at admission, in addition to an immune regulation loss. This led, in turn, to a higher expression of genes related to reactive oxygen species, protein polyubiquitination, and metalloproteinases in the latter stages. Some of the most significant differences in gene expression found between patients with and without ARDS corresponded to long non-coding RNA involved in epigenetic control.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/57572
http://dx.doi.org/10.3390/biomedicines11051348
url http://hdl.handle.net/10230/57572
http://dx.doi.org/10.3390/biomedicines11051348
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Biomedicines. 2023 May 3;11(5):1348
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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