TY - JOUR
T1 - Snornas and mirnas networks underlying covid-19 disease severity
AU - Parray, Aijaz
AU - Mir, Fayaz Ahmad
AU - Doudin, Asmma
AU - Iskandarani, Ahmad
AU - Danjuma, Ibn Mohammed Masud
AU - Kuni, Rahim Ayadathil Thazhhe
AU - Abdelmajid, Alaaedin
AU - Abdelhafez, Ibrahim
AU - Arif, Rida
AU - Mulhim, Mohammad
AU - Abukhattab, Mohammad
AU - Dar, Shoukat Rashhid
AU - Al Moustafa, Ala Eddin
AU - Elkord, Eyad
AU - Al Khal, Abdul Latif
AU - Elzouki, Abdel Naser
AU - Cyprian, Farhan
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/10
Y1 - 2021/10
N2 - 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.
AB - 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.
KW - Biomarkers
KW - COVID-19
KW - MiRNA
KW - SARS-CoV-2
KW - SnoRNA
UR - https://www.scopus.com/pages/publications/85115989636
U2 - 10.3390/vaccines9101056
DO - 10.3390/vaccines9101056
M3 - Article
AN - SCOPUS:85115989636
SN - 2076-393X
VL - 9
JO - Vaccines
JF - Vaccines
IS - 10
M1 - 1056
ER -
