Details

Autor(en) / Beteiligte

• 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

Titel

Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients

Ist Teil von

• Translational research : the journal of laboratory and clinical medicine, 2021-10, Vol.236, p.147-159

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2021

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.