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miR-155: A Potential Biomarker for Predicting Mortality in COVID-19 Patients
COVID-19, a pandemic of severe acute respiratory syndrome caused by Coronavirus 2 (SARS-CoV-2), continues to pose diagnostic and therapeutic challenges due to its unpredictable clinical course. Prognostic biomarkers may improve care by enabling quick identification of patients who can be safely disc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877479/ https://www.ncbi.nlm.nih.gov/pubmed/35207812 http://dx.doi.org/10.3390/jpm12020324 |
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author | Kassif-Lerner, Reut Zloto, Keren Rubin, Nadav Asraf, Keren Doolman, Ram Paret, Gidi Nevo-Caspi, Yael |
author_facet | Kassif-Lerner, Reut Zloto, Keren Rubin, Nadav Asraf, Keren Doolman, Ram Paret, Gidi Nevo-Caspi, Yael |
author_sort | Kassif-Lerner, Reut |
collection | PubMed |
description | COVID-19, a pandemic of severe acute respiratory syndrome caused by Coronavirus 2 (SARS-CoV-2), continues to pose diagnostic and therapeutic challenges due to its unpredictable clinical course. Prognostic biomarkers may improve care by enabling quick identification of patients who can be safely discharged home versus those who may need careful respiratory monitoring and support. MicroRNAs (miRNAs) have risen to prominence as biomarkers for many disease states and as tools to assist in medical decisions. In the present study, we aimed to examine circulating miRNAs in hospitalized COVID-19 patients and to explore their potential as biomarkers for disease severity. We studied, by quantitative PCR, the expressions of miR-21, miR-146a, miR-146b, miR-155, and miR-499 in peripheral blood. We found that mild COVID-19 patients had 2.5-fold less circulating miR-155 than healthy people, and patients with a severe COVID-19 disease had 5-fold less circulating miR-155 than healthy people. In addition, we found that miR-155 is a good predictor of COVID-19 mortality. We suggest that examining miR-155 levels in patients’ blood, upon admission to hospital, will ameliorate the care given to COVID-19 patients. |
format | Online Article Text |
id | pubmed-8877479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88774792022-02-26 miR-155: A Potential Biomarker for Predicting Mortality in COVID-19 Patients Kassif-Lerner, Reut Zloto, Keren Rubin, Nadav Asraf, Keren Doolman, Ram Paret, Gidi Nevo-Caspi, Yael J Pers Med Article COVID-19, a pandemic of severe acute respiratory syndrome caused by Coronavirus 2 (SARS-CoV-2), continues to pose diagnostic and therapeutic challenges due to its unpredictable clinical course. Prognostic biomarkers may improve care by enabling quick identification of patients who can be safely discharged home versus those who may need careful respiratory monitoring and support. MicroRNAs (miRNAs) have risen to prominence as biomarkers for many disease states and as tools to assist in medical decisions. In the present study, we aimed to examine circulating miRNAs in hospitalized COVID-19 patients and to explore their potential as biomarkers for disease severity. We studied, by quantitative PCR, the expressions of miR-21, miR-146a, miR-146b, miR-155, and miR-499 in peripheral blood. We found that mild COVID-19 patients had 2.5-fold less circulating miR-155 than healthy people, and patients with a severe COVID-19 disease had 5-fold less circulating miR-155 than healthy people. In addition, we found that miR-155 is a good predictor of COVID-19 mortality. We suggest that examining miR-155 levels in patients’ blood, upon admission to hospital, will ameliorate the care given to COVID-19 patients. MDPI 2022-02-21 /pmc/articles/PMC8877479/ /pubmed/35207812 http://dx.doi.org/10.3390/jpm12020324 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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/). |
spellingShingle | Article Kassif-Lerner, Reut Zloto, Keren Rubin, Nadav Asraf, Keren Doolman, Ram Paret, Gidi Nevo-Caspi, Yael miR-155: A Potential Biomarker for Predicting Mortality in COVID-19 Patients |
title | miR-155: A Potential Biomarker for Predicting Mortality in COVID-19 Patients |
title_full | miR-155: A Potential Biomarker for Predicting Mortality in COVID-19 Patients |
title_fullStr | miR-155: A Potential Biomarker for Predicting Mortality in COVID-19 Patients |
title_full_unstemmed | miR-155: A Potential Biomarker for Predicting Mortality in COVID-19 Patients |
title_short | miR-155: A Potential Biomarker for Predicting Mortality in COVID-19 Patients |
title_sort | mir-155: a potential biomarker for predicting mortality in covid-19 patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877479/ https://www.ncbi.nlm.nih.gov/pubmed/35207812 http://dx.doi.org/10.3390/jpm12020324 |
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