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Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection
The host response to SARS-CoV-2 infection provide insights into both viral pathogenesis and patient management. The host-encoded microRNA (miRNA) response to SARS-CoV-2 infection, however, remains poorly defined. Here we profiled circulating miRNAs from ten COVID-19 patients sampled longitudinally a...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318295/ https://www.ncbi.nlm.nih.gov/pubmed/34320031 http://dx.doi.org/10.1371/journal.ppat.1009759 |
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author | Farr, Ryan J. Rootes, Christina L. Rowntree, Louise C. Nguyen, Thi H. O. Hensen, Luca Kedzierski, Lukasz Cheng, Allen C. Kedzierska, Katherine Au, Gough G. Marsh, Glenn A. Vasan, Seshadri S. Foo, Chwan Hong Cowled, Christopher Stewart, Cameron R. |
author_facet | Farr, Ryan J. Rootes, Christina L. Rowntree, Louise C. Nguyen, Thi H. O. Hensen, Luca Kedzierski, Lukasz Cheng, Allen C. Kedzierska, Katherine Au, Gough G. Marsh, Glenn A. Vasan, Seshadri S. Foo, Chwan Hong Cowled, Christopher Stewart, Cameron R. |
author_sort | Farr, Ryan J. |
collection | PubMed |
description | The host response to SARS-CoV-2 infection provide insights into both viral pathogenesis and patient management. The host-encoded microRNA (miRNA) response to SARS-CoV-2 infection, however, remains poorly defined. Here we profiled circulating miRNAs from ten COVID-19 patients sampled longitudinally and ten age and gender matched healthy donors. We observed 55 miRNAs that were altered in COVID-19 patients during early-stage disease, with the inflammatory miR-31-5p the most strongly upregulated. Supervised machine learning analysis revealed that a three-miRNA signature (miR-423-5p, miR-23a-3p and miR-195-5p) independently classified COVID-19 cases with an accuracy of 99.9%. In a ferret COVID-19 model, the three-miRNA signature again detected SARS-CoV-2 infection with 99.7% accuracy, and distinguished SARS-CoV-2 infection from influenza A (H1N1) infection and healthy controls with 95% accuracy. Distinct miRNA profiles were also observed in COVID-19 patients requiring oxygenation. This study demonstrates that SARS-CoV-2 infection induces a robust host miRNA response that could improve COVID-19 detection and patient management. |
format | Online Article Text |
id | pubmed-8318295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83182952021-07-31 Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection Farr, Ryan J. Rootes, Christina L. Rowntree, Louise C. Nguyen, Thi H. O. Hensen, Luca Kedzierski, Lukasz Cheng, Allen C. Kedzierska, Katherine Au, Gough G. Marsh, Glenn A. Vasan, Seshadri S. Foo, Chwan Hong Cowled, Christopher Stewart, Cameron R. PLoS Pathog Research Article The host response to SARS-CoV-2 infection provide insights into both viral pathogenesis and patient management. The host-encoded microRNA (miRNA) response to SARS-CoV-2 infection, however, remains poorly defined. Here we profiled circulating miRNAs from ten COVID-19 patients sampled longitudinally and ten age and gender matched healthy donors. We observed 55 miRNAs that were altered in COVID-19 patients during early-stage disease, with the inflammatory miR-31-5p the most strongly upregulated. Supervised machine learning analysis revealed that a three-miRNA signature (miR-423-5p, miR-23a-3p and miR-195-5p) independently classified COVID-19 cases with an accuracy of 99.9%. In a ferret COVID-19 model, the three-miRNA signature again detected SARS-CoV-2 infection with 99.7% accuracy, and distinguished SARS-CoV-2 infection from influenza A (H1N1) infection and healthy controls with 95% accuracy. Distinct miRNA profiles were also observed in COVID-19 patients requiring oxygenation. This study demonstrates that SARS-CoV-2 infection induces a robust host miRNA response that could improve COVID-19 detection and patient management. Public Library of Science 2021-07-28 /pmc/articles/PMC8318295/ /pubmed/34320031 http://dx.doi.org/10.1371/journal.ppat.1009759 Text en © 2021 Farr et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Farr, Ryan J. Rootes, Christina L. Rowntree, Louise C. Nguyen, Thi H. O. Hensen, Luca Kedzierski, Lukasz Cheng, Allen C. Kedzierska, Katherine Au, Gough G. Marsh, Glenn A. Vasan, Seshadri S. Foo, Chwan Hong Cowled, Christopher Stewart, Cameron R. Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection |
title | Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection |
title_full | Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection |
title_fullStr | Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection |
title_full_unstemmed | Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection |
title_short | Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection |
title_sort | altered microrna expression in covid-19 patients enables identification of sars-cov-2 infection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318295/ https://www.ncbi.nlm.nih.gov/pubmed/34320031 http://dx.doi.org/10.1371/journal.ppat.1009759 |
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