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Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients
Predicting the clinical course of Covid-19 is a challenging task, given the multi-systemic character of the disease and the paucity of minimally invasive biomarkers of disease severity. Here, we evaluated the early (first two days post-admission) level of circulating hsa-miR-195-5p (miR-195, a known...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447562/ https://www.ncbi.nlm.nih.gov/pubmed/37612439 http://dx.doi.org/10.1038/s41598-023-40754-w |
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author | Moatar, Alexandra Ioana Chis, Aimee Rodica Romanescu, Mirabela Ciordas, Paula-Diana Nitusca, Diana Marian, Catalin Oancea, Cristian Sirbu, Ioan-Ovidiu |
author_facet | Moatar, Alexandra Ioana Chis, Aimee Rodica Romanescu, Mirabela Ciordas, Paula-Diana Nitusca, Diana Marian, Catalin Oancea, Cristian Sirbu, Ioan-Ovidiu |
author_sort | Moatar, Alexandra Ioana |
collection | PubMed |
description | Predicting the clinical course of Covid-19 is a challenging task, given the multi-systemic character of the disease and the paucity of minimally invasive biomarkers of disease severity. Here, we evaluated the early (first two days post-admission) level of circulating hsa-miR-195-5p (miR-195, a known responder to viral infections and SARS-CoV-2 interactor) in Covid-19 patients and assessed its potential as a biomarker of disease severity. We show that plasma miR-195 correlates with several clinical and paraclinical parameters, and is an excellent discriminator between the severe and mild forms of the disease. Our Gene Ontology analysis of miR-195 targets differentially expressed in Covid-19 indicates a strong impact on cardiac mitochondria homeostasis, suggesting a possible role in long Covid and chronic fatigue syndrome (CFS) syndromes. |
format | Online Article Text |
id | pubmed-10447562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104475622023-08-25 Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients Moatar, Alexandra Ioana Chis, Aimee Rodica Romanescu, Mirabela Ciordas, Paula-Diana Nitusca, Diana Marian, Catalin Oancea, Cristian Sirbu, Ioan-Ovidiu Sci Rep Article Predicting the clinical course of Covid-19 is a challenging task, given the multi-systemic character of the disease and the paucity of minimally invasive biomarkers of disease severity. Here, we evaluated the early (first two days post-admission) level of circulating hsa-miR-195-5p (miR-195, a known responder to viral infections and SARS-CoV-2 interactor) in Covid-19 patients and assessed its potential as a biomarker of disease severity. We show that plasma miR-195 correlates with several clinical and paraclinical parameters, and is an excellent discriminator between the severe and mild forms of the disease. Our Gene Ontology analysis of miR-195 targets differentially expressed in Covid-19 indicates a strong impact on cardiac mitochondria homeostasis, suggesting a possible role in long Covid and chronic fatigue syndrome (CFS) syndromes. Nature Publishing Group UK 2023-08-23 /pmc/articles/PMC10447562/ /pubmed/37612439 http://dx.doi.org/10.1038/s41598-023-40754-w Text en © The Author(s) 2023 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 Moatar, Alexandra Ioana Chis, Aimee Rodica Romanescu, Mirabela Ciordas, Paula-Diana Nitusca, Diana Marian, Catalin Oancea, Cristian Sirbu, Ioan-Ovidiu Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients |
title | Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients |
title_full | Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients |
title_fullStr | Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients |
title_full_unstemmed | Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients |
title_short | Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients |
title_sort | plasma mir-195-5p predicts the severity of covid-19 in hospitalized patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447562/ https://www.ncbi.nlm.nih.gov/pubmed/37612439 http://dx.doi.org/10.1038/s41598-023-40754-w |
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