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Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients
We aimed to examine the circulating microRNA (miRNA) profile of hospitalized COVID-19 patients and evaluate its potential as a source of biomarkers for the management of the disease. This was an observational and multicenter study that included 84 patients with a positive nasopharyngeal swab Polymer...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149473/ https://www.ncbi.nlm.nih.gov/pubmed/34048985 http://dx.doi.org/10.1016/j.trsl.2021.05.004 |
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author | de GONZALO-CALVO, DAVID BENÍTEZ, IVÁN D. PINILLA, LUCÍA CARRATALÁ, AMARA MONCUSÍ-MOIX, ANNA GORT-PANIELLO, CLARA MOLINERO, MARTA GONZÁLEZ, JESSICA TORRES, GERARD BERNAL, MARÍA PICO, SILVIA ALMANSA, RAQUEL JORGE, NOELIA ORTEGA, ALICIA BUSTAMANTE-MUNGUIRA, ELENA GÓMEZ, JOSÉ MANUEL GONZÁLEZ-RIVERA, MILAGROS MICHELOUD, DARIELA RYAN, PABLO MARTINEZ, AMALIA TAMAYO, LUIS ALDECOA, CÉSAR FERRER, RICARD CECCATO, ADRIÁN FERNÁNDEZ-BARAT, LAIA MOTOS, ANA RIERA, JORDI MENÉNDEZ, ROSARIO GARCIA-GASULLA, DARIO PEÑUELAS, OSCAR TORRES, ANTONI BERMEJO-MARTIN, JESÚS F. BARBÉ, FERRAN |
author_facet | de GONZALO-CALVO, DAVID BENÍTEZ, IVÁN D. PINILLA, LUCÍA CARRATALÁ, AMARA MONCUSÍ-MOIX, ANNA GORT-PANIELLO, CLARA MOLINERO, MARTA GONZÁLEZ, JESSICA TORRES, GERARD BERNAL, MARÍA PICO, SILVIA ALMANSA, RAQUEL JORGE, NOELIA ORTEGA, ALICIA BUSTAMANTE-MUNGUIRA, ELENA GÓMEZ, JOSÉ MANUEL GONZÁLEZ-RIVERA, MILAGROS MICHELOUD, DARIELA RYAN, PABLO MARTINEZ, AMALIA TAMAYO, LUIS ALDECOA, CÉSAR FERRER, RICARD CECCATO, ADRIÁN FERNÁNDEZ-BARAT, LAIA MOTOS, ANA RIERA, JORDI MENÉNDEZ, ROSARIO GARCIA-GASULLA, DARIO PEÑUELAS, OSCAR TORRES, ANTONI BERMEJO-MARTIN, JESÚS F. BARBÉ, FERRAN |
author_sort | de GONZALO-CALVO, DAVID |
collection | PubMed |
description | We aimed to examine the circulating microRNA (miRNA) profile of hospitalized COVID-19 patients and evaluate its potential as a source of biomarkers for the management of the disease. This was an observational and multicenter study that included 84 patients with a positive nasopharyngeal swab Polymerase chain reaction (PCR) test for SARS-CoV-2 recruited during the first pandemic wave in Spain (March-June 2020). Patients were stratified according to disease severity: hospitalized patients admitted to the clinical wards without requiring critical care and patients admitted to the intensive care unit (ICU). An additional study was completed including ICU nonsurvivors and survivors. Plasma miRNA profiling was performed using reverse transcription polymerase quantitative chain reaction (RT-qPCR). Predictive models were constructed using least absolute shrinkage and selection operator (LASSO) regression. Ten circulating miRNAs were dysregulated in ICU patients compared to ward patients. LASSO analysis identified a signature of three miRNAs (miR-148a-3p, miR-451a and miR-486-5p) that distinguishes between ICU and ward patients [AUC (95% CI) = 0.89 (0.81-0.97)]. Among critically ill patients, six miRNAs were downregulated between nonsurvivors and survivors. A signature based on two miRNAs (miR-192-5p and miR-323a-3p) differentiated ICU nonsurvivors from survivors [AUC (95% CI) = 0.80 (0.64–0.96)]. The discriminatory potential of the signature was higher than that observed for laboratory parameters such as leukocyte counts, C-reactive protein (CRP) or D-dimer [maximum AUC (95% CI) for these variables = 0.73 (0.55–0.92)]. miRNA levels were correlated with the duration of ICU stay. Specific circulating miRNA profiles are associated with the severity of COVID-19. Plasma miRNA signatures emerge as a novel tool to assist in the early prediction of vital status deterioration among ICU patients. |
format | Online Article Text |
id | pubmed-8149473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81494732021-05-26 Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients de GONZALO-CALVO, DAVID BENÍTEZ, IVÁN D. PINILLA, LUCÍA CARRATALÁ, AMARA MONCUSÍ-MOIX, ANNA GORT-PANIELLO, CLARA MOLINERO, MARTA GONZÁLEZ, JESSICA TORRES, GERARD BERNAL, MARÍA PICO, SILVIA ALMANSA, RAQUEL JORGE, NOELIA ORTEGA, ALICIA BUSTAMANTE-MUNGUIRA, ELENA GÓMEZ, JOSÉ MANUEL GONZÁLEZ-RIVERA, MILAGROS MICHELOUD, DARIELA RYAN, PABLO MARTINEZ, AMALIA TAMAYO, LUIS ALDECOA, CÉSAR FERRER, RICARD CECCATO, ADRIÁN FERNÁNDEZ-BARAT, LAIA MOTOS, ANA RIERA, JORDI MENÉNDEZ, ROSARIO GARCIA-GASULLA, DARIO PEÑUELAS, OSCAR TORRES, ANTONI BERMEJO-MARTIN, JESÚS F. BARBÉ, FERRAN Transl Res Article We aimed to examine the circulating microRNA (miRNA) profile of hospitalized COVID-19 patients and evaluate its potential as a source of biomarkers for the management of the disease. This was an observational and multicenter study that included 84 patients with a positive nasopharyngeal swab Polymerase chain reaction (PCR) test for SARS-CoV-2 recruited during the first pandemic wave in Spain (March-June 2020). Patients were stratified according to disease severity: hospitalized patients admitted to the clinical wards without requiring critical care and patients admitted to the intensive care unit (ICU). An additional study was completed including ICU nonsurvivors and survivors. Plasma miRNA profiling was performed using reverse transcription polymerase quantitative chain reaction (RT-qPCR). Predictive models were constructed using least absolute shrinkage and selection operator (LASSO) regression. Ten circulating miRNAs were dysregulated in ICU patients compared to ward patients. LASSO analysis identified a signature of three miRNAs (miR-148a-3p, miR-451a and miR-486-5p) that distinguishes between ICU and ward patients [AUC (95% CI) = 0.89 (0.81-0.97)]. Among critically ill patients, six miRNAs were downregulated between nonsurvivors and survivors. A signature based on two miRNAs (miR-192-5p and miR-323a-3p) differentiated ICU nonsurvivors from survivors [AUC (95% CI) = 0.80 (0.64–0.96)]. The discriminatory potential of the signature was higher than that observed for laboratory parameters such as leukocyte counts, C-reactive protein (CRP) or D-dimer [maximum AUC (95% CI) for these variables = 0.73 (0.55–0.92)]. miRNA levels were correlated with the duration of ICU stay. Specific circulating miRNA profiles are associated with the severity of COVID-19. Plasma miRNA signatures emerge as a novel tool to assist in the early prediction of vital status deterioration among ICU patients. Elsevier Inc. 2021-10 2021-05-26 /pmc/articles/PMC8149473/ /pubmed/34048985 http://dx.doi.org/10.1016/j.trsl.2021.05.004 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article de GONZALO-CALVO, DAVID BENÍTEZ, IVÁN D. PINILLA, LUCÍA CARRATALÁ, AMARA MONCUSÍ-MOIX, ANNA GORT-PANIELLO, CLARA MOLINERO, MARTA GONZÁLEZ, JESSICA TORRES, GERARD BERNAL, MARÍA PICO, SILVIA ALMANSA, RAQUEL JORGE, NOELIA ORTEGA, ALICIA BUSTAMANTE-MUNGUIRA, ELENA GÓMEZ, JOSÉ MANUEL GONZÁLEZ-RIVERA, MILAGROS MICHELOUD, DARIELA RYAN, PABLO MARTINEZ, AMALIA TAMAYO, LUIS ALDECOA, CÉSAR FERRER, RICARD CECCATO, ADRIÁN FERNÁNDEZ-BARAT, LAIA MOTOS, ANA RIERA, JORDI MENÉNDEZ, ROSARIO GARCIA-GASULLA, DARIO PEÑUELAS, OSCAR TORRES, ANTONI BERMEJO-MARTIN, JESÚS F. BARBÉ, FERRAN Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients |
title | Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients |
title_full | Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients |
title_fullStr | Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients |
title_full_unstemmed | Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients |
title_short | Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients |
title_sort | circulating microrna profiles predict the severity of covid-19 in hospitalized patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8149473/ https://www.ncbi.nlm.nih.gov/pubmed/34048985 http://dx.doi.org/10.1016/j.trsl.2021.05.004 |
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