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The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients

The objective of the present study was to identify biological signatures of severe coronavirus disease 2019 (COVID-19) predictive of admission in the intensive care unit (ICU). Over 170 immunological markers were investigated in a ‘discovery’ cohort (n = 98 patients) of the Lausanne University Hospi...

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Autores principales: Perreau, Matthieu, Suffiotti, Madeleine, Marques-Vidal, Pedro, Wiedemann, Aurelie, Levy, Yves, Laouénan, Cédric, Ghosn, Jade, Fenwick, Craig, Comte, Denis, Roger, Thierry, Regina, Jean, Vollenweider, Peter, Waeber, Gerard, Oddo, Mauro, Calandra, Thierry, Pantaleo, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352963/
https://www.ncbi.nlm.nih.gov/pubmed/34373466
http://dx.doi.org/10.1038/s41467-021-25191-5
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author Perreau, Matthieu
Suffiotti, Madeleine
Marques-Vidal, Pedro
Wiedemann, Aurelie
Levy, Yves
Laouénan, Cédric
Ghosn, Jade
Fenwick, Craig
Comte, Denis
Roger, Thierry
Regina, Jean
Vollenweider, Peter
Waeber, Gerard
Oddo, Mauro
Calandra, Thierry
Pantaleo, Giuseppe
author_facet Perreau, Matthieu
Suffiotti, Madeleine
Marques-Vidal, Pedro
Wiedemann, Aurelie
Levy, Yves
Laouénan, Cédric
Ghosn, Jade
Fenwick, Craig
Comte, Denis
Roger, Thierry
Regina, Jean
Vollenweider, Peter
Waeber, Gerard
Oddo, Mauro
Calandra, Thierry
Pantaleo, Giuseppe
author_sort Perreau, Matthieu
collection PubMed
description The objective of the present study was to identify biological signatures of severe coronavirus disease 2019 (COVID-19) predictive of admission in the intensive care unit (ICU). Over 170 immunological markers were investigated in a ‘discovery’ cohort (n = 98 patients) of the Lausanne University Hospital (LUH-1). Here we report that 13 out of 49 cytokines were significantly associated with ICU admission in the three cohorts (P < 0.05 to P < 0.001), while cellular immunological markers lacked power in discriminating between ICU and non-ICU patients. The cytokine results were confirmed in two ‘validation’ cohorts, i.e. the French COVID-19 Study (FCS; n = 62) and a second LUH-2 cohort (n = 47). The combination of hepatocyte growth factor (HGF) and C-X-C motif chemokine ligand 13 (CXCL13) was the best predictor of ICU admission (positive and negative predictive values ranging from 81.8% to 93.1% and 85.2% to 94.4% in the 3 cohorts) and occurrence of death during patient follow-up (8.8 fold higher likelihood of death when both cytokines were increased). Of note, HGF is a pleiotropic cytokine with anti-inflammatory properties playing a fundamental role in lung tissue repair, and CXCL13, a pro-inflammatory chemokine associated with pulmonary fibrosis and regulating the maturation of B cell response. Up-regulation of HGF reflects the most powerful counter-regulatory mechanism of the host immune response to antagonize the pro-inflammatory cytokines including CXCL13 and to prevent lung fibrosis in COVID-19 patients.
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spelling pubmed-83529632021-08-19 The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients Perreau, Matthieu Suffiotti, Madeleine Marques-Vidal, Pedro Wiedemann, Aurelie Levy, Yves Laouénan, Cédric Ghosn, Jade Fenwick, Craig Comte, Denis Roger, Thierry Regina, Jean Vollenweider, Peter Waeber, Gerard Oddo, Mauro Calandra, Thierry Pantaleo, Giuseppe Nat Commun Article The objective of the present study was to identify biological signatures of severe coronavirus disease 2019 (COVID-19) predictive of admission in the intensive care unit (ICU). Over 170 immunological markers were investigated in a ‘discovery’ cohort (n = 98 patients) of the Lausanne University Hospital (LUH-1). Here we report that 13 out of 49 cytokines were significantly associated with ICU admission in the three cohorts (P < 0.05 to P < 0.001), while cellular immunological markers lacked power in discriminating between ICU and non-ICU patients. The cytokine results were confirmed in two ‘validation’ cohorts, i.e. the French COVID-19 Study (FCS; n = 62) and a second LUH-2 cohort (n = 47). The combination of hepatocyte growth factor (HGF) and C-X-C motif chemokine ligand 13 (CXCL13) was the best predictor of ICU admission (positive and negative predictive values ranging from 81.8% to 93.1% and 85.2% to 94.4% in the 3 cohorts) and occurrence of death during patient follow-up (8.8 fold higher likelihood of death when both cytokines were increased). Of note, HGF is a pleiotropic cytokine with anti-inflammatory properties playing a fundamental role in lung tissue repair, and CXCL13, a pro-inflammatory chemokine associated with pulmonary fibrosis and regulating the maturation of B cell response. Up-regulation of HGF reflects the most powerful counter-regulatory mechanism of the host immune response to antagonize the pro-inflammatory cytokines including CXCL13 and to prevent lung fibrosis in COVID-19 patients. Nature Publishing Group UK 2021-08-09 /pmc/articles/PMC8352963/ /pubmed/34373466 http://dx.doi.org/10.1038/s41467-021-25191-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Perreau, Matthieu
Suffiotti, Madeleine
Marques-Vidal, Pedro
Wiedemann, Aurelie
Levy, Yves
Laouénan, Cédric
Ghosn, Jade
Fenwick, Craig
Comte, Denis
Roger, Thierry
Regina, Jean
Vollenweider, Peter
Waeber, Gerard
Oddo, Mauro
Calandra, Thierry
Pantaleo, Giuseppe
The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients
title The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients
title_full The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients
title_fullStr The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients
title_full_unstemmed The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients
title_short The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients
title_sort cytokines hgf and cxcl13 predict the severity and the mortality in covid-19 patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352963/
https://www.ncbi.nlm.nih.gov/pubmed/34373466
http://dx.doi.org/10.1038/s41467-021-25191-5
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