Cargando…
Cellular miR-6741-5p as a Prognostic Biomarker Predicting Length of Hospital Stay among COVID-19 Patients
Wide variability exists with host response to SARS-CoV-2 infection among individuals. Circulatory micro RNAs (miRNAs) are being recognized as promising biomarkers for complex traits, including viral pathogenesis. We hypothesized that circulatory miRNAs at 48 h post hospitalization may predict the le...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781286/ https://www.ncbi.nlm.nih.gov/pubmed/36560686 http://dx.doi.org/10.3390/v14122681 |
_version_ | 1784857036623708160 |
---|---|
author | Akula, Shaw M. Williams, John F. Pokhrel, Lok R. Bauer, Anais N. Rajput, Smit Cook, Paul P. |
author_facet | Akula, Shaw M. Williams, John F. Pokhrel, Lok R. Bauer, Anais N. Rajput, Smit Cook, Paul P. |
author_sort | Akula, Shaw M. |
collection | PubMed |
description | Wide variability exists with host response to SARS-CoV-2 infection among individuals. Circulatory micro RNAs (miRNAs) are being recognized as promising biomarkers for complex traits, including viral pathogenesis. We hypothesized that circulatory miRNAs at 48 h post hospitalization may predict the length of stay (LOS) and prognosis of COVID-19 patients. Plasma miRNA levels were compared between three groups: (i) healthy volunteers (C); (ii) COVID-19 patients treated with remdesivir (an antiviral) plus dexamethasone (a glucocorticoid) (with or without baricitinib, a Janus kinase inhibitor) on the day of hospitalization (I); and COVID-19 patients at 48 h post treatment (T). Results showed that circulatory miR-6741-5p expression levels were significantly different between groups C and I (p < 0.0000001); I and T (p < 0.0000001); and C and T (p = 0.001). Our ANOVA model estimated that all patients with less than 12.42 Log2 CPM had a short LOS, or a good prognosis, whereas all patients with over 12.42 Log2 CPM had a long LOS, or a poor prognosis. In sum, we show that circulatory miR-6741-5p may serve as a prognostic biomarker effectively predicting mortality risk and LOS of hospitalized COVID-19 patients. |
format | Online Article Text |
id | pubmed-9781286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97812862022-12-24 Cellular miR-6741-5p as a Prognostic Biomarker Predicting Length of Hospital Stay among COVID-19 Patients Akula, Shaw M. Williams, John F. Pokhrel, Lok R. Bauer, Anais N. Rajput, Smit Cook, Paul P. Viruses Article Wide variability exists with host response to SARS-CoV-2 infection among individuals. Circulatory micro RNAs (miRNAs) are being recognized as promising biomarkers for complex traits, including viral pathogenesis. We hypothesized that circulatory miRNAs at 48 h post hospitalization may predict the length of stay (LOS) and prognosis of COVID-19 patients. Plasma miRNA levels were compared between three groups: (i) healthy volunteers (C); (ii) COVID-19 patients treated with remdesivir (an antiviral) plus dexamethasone (a glucocorticoid) (with or without baricitinib, a Janus kinase inhibitor) on the day of hospitalization (I); and COVID-19 patients at 48 h post treatment (T). Results showed that circulatory miR-6741-5p expression levels were significantly different between groups C and I (p < 0.0000001); I and T (p < 0.0000001); and C and T (p = 0.001). Our ANOVA model estimated that all patients with less than 12.42 Log2 CPM had a short LOS, or a good prognosis, whereas all patients with over 12.42 Log2 CPM had a long LOS, or a poor prognosis. In sum, we show that circulatory miR-6741-5p may serve as a prognostic biomarker effectively predicting mortality risk and LOS of hospitalized COVID-19 patients. MDPI 2022-11-30 /pmc/articles/PMC9781286/ /pubmed/36560686 http://dx.doi.org/10.3390/v14122681 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 Akula, Shaw M. Williams, John F. Pokhrel, Lok R. Bauer, Anais N. Rajput, Smit Cook, Paul P. Cellular miR-6741-5p as a Prognostic Biomarker Predicting Length of Hospital Stay among COVID-19 Patients |
title | Cellular miR-6741-5p as a Prognostic Biomarker Predicting Length of Hospital Stay among COVID-19 Patients |
title_full | Cellular miR-6741-5p as a Prognostic Biomarker Predicting Length of Hospital Stay among COVID-19 Patients |
title_fullStr | Cellular miR-6741-5p as a Prognostic Biomarker Predicting Length of Hospital Stay among COVID-19 Patients |
title_full_unstemmed | Cellular miR-6741-5p as a Prognostic Biomarker Predicting Length of Hospital Stay among COVID-19 Patients |
title_short | Cellular miR-6741-5p as a Prognostic Biomarker Predicting Length of Hospital Stay among COVID-19 Patients |
title_sort | cellular mir-6741-5p as a prognostic biomarker predicting length of hospital stay among covid-19 patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781286/ https://www.ncbi.nlm.nih.gov/pubmed/36560686 http://dx.doi.org/10.3390/v14122681 |
work_keys_str_mv | AT akulashawm cellularmir67415pasaprognosticbiomarkerpredictinglengthofhospitalstayamongcovid19patients AT williamsjohnf cellularmir67415pasaprognosticbiomarkerpredictinglengthofhospitalstayamongcovid19patients AT pokhrellokr cellularmir67415pasaprognosticbiomarkerpredictinglengthofhospitalstayamongcovid19patients AT baueranaisn cellularmir67415pasaprognosticbiomarkerpredictinglengthofhospitalstayamongcovid19patients AT rajputsmit cellularmir67415pasaprognosticbiomarkerpredictinglengthofhospitalstayamongcovid19patients AT cookpaulp cellularmir67415pasaprognosticbiomarkerpredictinglengthofhospitalstayamongcovid19patients |