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Galectin-3 as a potential prognostic biomarker of severe COVID-19 in SARS-CoV-2 infected patients
Severe COVID-19 is associated with a systemic hyperinflammatory response leading to acute respiratory distress syndrome (ARDS), multi-organ failure, and death. Galectin-3 is a ß-galactoside binding lectin known to drive neutrophil infiltration and the release of pro-inflammatory cytokines contributi...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813958/ https://www.ncbi.nlm.nih.gov/pubmed/35115644 http://dx.doi.org/10.1038/s41598-022-05968-4 |
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author | Cervantes-Alvarez, Eduardo la Rosa, Nathaly Limon-de la Mora, Moises Salgado-de Valdez-Sandoval, Paola Palacios-Jimenez, Mildred Rodriguez-Alvarez, Fatima Vera-Maldonado, Brenda I. Aguirre-Aguilar, Eduardo Escobar-Valderrama, Juan Manuel Alanis-Mendizabal, Jorge Méndez-Guerrero, Osvely Tejeda-Dominguez, Farid Torres-Ruíz, Jiram Gómez-Martín, Diana Colborn, Kathryn L. Kershenobich, David Huang, Christene A. Navarro-Alvarez, Nalu |
author_facet | Cervantes-Alvarez, Eduardo la Rosa, Nathaly Limon-de la Mora, Moises Salgado-de Valdez-Sandoval, Paola Palacios-Jimenez, Mildred Rodriguez-Alvarez, Fatima Vera-Maldonado, Brenda I. Aguirre-Aguilar, Eduardo Escobar-Valderrama, Juan Manuel Alanis-Mendizabal, Jorge Méndez-Guerrero, Osvely Tejeda-Dominguez, Farid Torres-Ruíz, Jiram Gómez-Martín, Diana Colborn, Kathryn L. Kershenobich, David Huang, Christene A. Navarro-Alvarez, Nalu |
author_sort | Cervantes-Alvarez, Eduardo |
collection | PubMed |
description | Severe COVID-19 is associated with a systemic hyperinflammatory response leading to acute respiratory distress syndrome (ARDS), multi-organ failure, and death. Galectin-3 is a ß-galactoside binding lectin known to drive neutrophil infiltration and the release of pro-inflammatory cytokines contributing to airway inflammation. Thus, we aimed to investigate the potential of galectin-3 as a biomarker of severe COVID-19 outcomes. We prospectively included 156 patients with RT-PCR confirmed COVID-19. A severe outcome was defined as the requirement of invasive mechanical ventilation (IMV) and/or in-hospital death. A non-severe outcome was defined as discharge without IMV requirement. We used receiver operating characteristic (ROC) and multivariable logistic regression analysis to determine the prognostic ability of serum galectin-3 for a severe outcome. Galectin-3 levels discriminated well between severe and non-severe outcomes and correlated with markers of COVID-19 severity, (CRP, NLR, D-dimer, and neutrophil count). Using a forward-stepwise logistic regression analysis we identified galectin-3 [odds ratio (OR) 3.68 (95% CI 1.47–9.20), p < 0.01] to be an independent predictor of severe outcome. Furthermore, galectin-3 in combination with CRP, albumin and CT pulmonary affection > 50%, had significantly improved ability to predict severe outcomes [AUC 0.85 (95% CI 0.79–0.91, p < 0.0001)]. Based on the evidence presented here, we recommend clinicians measure galectin-3 levels upon admission to facilitate allocation of appropriate resources in a timely manner to COVID-19 patients at highest risk of severe outcome. |
format | Online Article Text |
id | pubmed-8813958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88139582022-02-07 Galectin-3 as a potential prognostic biomarker of severe COVID-19 in SARS-CoV-2 infected patients Cervantes-Alvarez, Eduardo la Rosa, Nathaly Limon-de la Mora, Moises Salgado-de Valdez-Sandoval, Paola Palacios-Jimenez, Mildred Rodriguez-Alvarez, Fatima Vera-Maldonado, Brenda I. Aguirre-Aguilar, Eduardo Escobar-Valderrama, Juan Manuel Alanis-Mendizabal, Jorge Méndez-Guerrero, Osvely Tejeda-Dominguez, Farid Torres-Ruíz, Jiram Gómez-Martín, Diana Colborn, Kathryn L. Kershenobich, David Huang, Christene A. Navarro-Alvarez, Nalu Sci Rep Article Severe COVID-19 is associated with a systemic hyperinflammatory response leading to acute respiratory distress syndrome (ARDS), multi-organ failure, and death. Galectin-3 is a ß-galactoside binding lectin known to drive neutrophil infiltration and the release of pro-inflammatory cytokines contributing to airway inflammation. Thus, we aimed to investigate the potential of galectin-3 as a biomarker of severe COVID-19 outcomes. We prospectively included 156 patients with RT-PCR confirmed COVID-19. A severe outcome was defined as the requirement of invasive mechanical ventilation (IMV) and/or in-hospital death. A non-severe outcome was defined as discharge without IMV requirement. We used receiver operating characteristic (ROC) and multivariable logistic regression analysis to determine the prognostic ability of serum galectin-3 for a severe outcome. Galectin-3 levels discriminated well between severe and non-severe outcomes and correlated with markers of COVID-19 severity, (CRP, NLR, D-dimer, and neutrophil count). Using a forward-stepwise logistic regression analysis we identified galectin-3 [odds ratio (OR) 3.68 (95% CI 1.47–9.20), p < 0.01] to be an independent predictor of severe outcome. Furthermore, galectin-3 in combination with CRP, albumin and CT pulmonary affection > 50%, had significantly improved ability to predict severe outcomes [AUC 0.85 (95% CI 0.79–0.91, p < 0.0001)]. Based on the evidence presented here, we recommend clinicians measure galectin-3 levels upon admission to facilitate allocation of appropriate resources in a timely manner to COVID-19 patients at highest risk of severe outcome. Nature Publishing Group UK 2022-02-03 /pmc/articles/PMC8813958/ /pubmed/35115644 http://dx.doi.org/10.1038/s41598-022-05968-4 Text en © The Author(s) 2022 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cervantes-Alvarez, Eduardo la Rosa, Nathaly Limon-de la Mora, Moises Salgado-de Valdez-Sandoval, Paola Palacios-Jimenez, Mildred Rodriguez-Alvarez, Fatima Vera-Maldonado, Brenda I. Aguirre-Aguilar, Eduardo Escobar-Valderrama, Juan Manuel Alanis-Mendizabal, Jorge Méndez-Guerrero, Osvely Tejeda-Dominguez, Farid Torres-Ruíz, Jiram Gómez-Martín, Diana Colborn, Kathryn L. Kershenobich, David Huang, Christene A. Navarro-Alvarez, Nalu Galectin-3 as a potential prognostic biomarker of severe COVID-19 in SARS-CoV-2 infected patients |
title | Galectin-3 as a potential prognostic biomarker of severe COVID-19 in SARS-CoV-2 infected patients |
title_full | Galectin-3 as a potential prognostic biomarker of severe COVID-19 in SARS-CoV-2 infected patients |
title_fullStr | Galectin-3 as a potential prognostic biomarker of severe COVID-19 in SARS-CoV-2 infected patients |
title_full_unstemmed | Galectin-3 as a potential prognostic biomarker of severe COVID-19 in SARS-CoV-2 infected patients |
title_short | Galectin-3 as a potential prognostic biomarker of severe COVID-19 in SARS-CoV-2 infected patients |
title_sort | galectin-3 as a potential prognostic biomarker of severe covid-19 in sars-cov-2 infected patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813958/ https://www.ncbi.nlm.nih.gov/pubmed/35115644 http://dx.doi.org/10.1038/s41598-022-05968-4 |
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