There is a lack of predictive markers for early and rapid identification of disease progression in COVID-19 patients. Our study aims at identifying microRNAs (miRNAs)/small nucleolar RNAs (snoRNAs) as potential biomarkers of COVID-19 severity. Using differential expression analysis of microarray data (n = 29), we identified hsa-miR-1246, ACA40, hsa-miR-4532, hsa-miR-145-5p, and ACA18 as the top five differentially expressed transcripts in severe versus asymptomatic, and ACA40, hsa-miR-3609, ENSG00000212378 (SNORD78), hsa-miR-1231, hsa-miR-885-3p as the most significant five in severe versus mild cases. Moreover, we found that white blood cell (WBC) count, absolute neutrophil count (ANC), neutrophil (%), lymphocyte (%), red blood cell (RBC) count, hemoglobin, hematocrit, D-Dimer, and albumin are significantly correlated with the identified differentially expressed miRNAs and snoRNAs. We report a unique miRNA and snoRNA profile that is associated with a higher risk of severity in a cohort of SARS-CoV-2 infected patients. Altogether, we present a differential expression analysis of COVID-19-associated microRNA (miRNA)/small nucleolar RNA (snoRNA) signature, highlighting their importance in SARS-CoV-2 infection.
【저자키워드】 COVID-19, SARS-CoV-2, Biomarkers, miRNA, snoRNA, 【초록키워드】 SARS-COV-2 infection, severity, microRNA, neutrophil, COVID-19 severity, RNA, Disease progression, lymphocyte, Cohort, Asymptomatic, White blood cell, albumin, Microarray, WBC, hemoglobin, COVID-19 patients, Blood, marker, Potential biomarker, Analysis, Predictive, higher risk, differential expression, SARS-CoV-2 infected patients, mild cases, absolute neutrophil count, transcript, FIVE, Cell, RBC, lack, significantly, unique, correlated, differentially expressed, highlighting, ANC, differentially expressed miRNA, SNORD78, 【제목키워드】 network,