Snornas and mirnas networks underlying covid-19 disease severity

Aijaz Parray; Fayaz Ahmad Mir; Asmma Doudin; Ahmad Iskandarani; Ibn Mohammed Masud Danjuma; Rahim Ayadathil Thazhhe Kuni; Alaaedin Abdelmajid; Ibrahim Abdelhafez; Rida Arif; Mohammad Mulhim; Mohammad Abukhattab; Shoukat Rashhid Dar; Ala Eddin Al Moustafa; Eyad Elkord; Abdul Latif Al Khal; Abdel Naser Elzouki; Farhan Cyprian

doi:10.3390/vaccines9101056

Snornas and mirnas networks underlying covid-19 disease severity

Aijaz Parray, Fayaz Ahmad Mir, Asmma Doudin, Ahmad Iskandarani, Ibn Mohammed Masud Danjuma, Rahim Ayadathil Thazhhe Kuni, Alaaedin Abdelmajid, Ibrahim Abdelhafez, Rida Arif, Mohammad Mulhim, Mohammad Abukhattab, Shoukat Rashhid Dar, Ala Eddin Al Moustafa, Eyad Elkord, Abdul Latif Al Khal, Abdel Naser Elzouki, Farhan Cyprian^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

Abstract

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.

Original language	English
Article number	1056
Journal	Vaccines
Volume	9
Issue number	10
DOIs	https://doi.org/10.3390/vaccines9101056
Publication status	Published - Oct 2021
Externally published	Yes

Keywords

Biomarkers
COVID-19
MiRNA
SARS-CoV-2
SnoRNA

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/vaccines9101056

Cite this

Parray, A., Mir, F. A., Doudin, A., Iskandarani, A., Danjuma, I. M. M., Kuni, R. A. T., Abdelmajid, A., Abdelhafez, I., Arif, R., Mulhim, M., Abukhattab, M., Dar, S. R., Al Moustafa, A. E., Elkord, E., Al Khal, A. L., Elzouki, A. N., & Cyprian, F. (2021). Snornas and mirnas networks underlying covid-19 disease severity. Vaccines, 9(10), Article 1056. https://doi.org/10.3390/vaccines9101056

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title = "Snornas and mirnas networks underlying covid-19 disease severity",

abstract = "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.",

keywords = "Biomarkers, COVID-19, MiRNA, SARS-CoV-2, SnoRNA",

author = "Aijaz Parray and Mir, {Fayaz Ahmad} and Asmma Doudin and Ahmad Iskandarani and Danjuma, {Ibn Mohammed Masud} and Kuni, {Rahim Ayadathil Thazhhe} and Alaaedin Abdelmajid and Ibrahim Abdelhafez and Rida Arif and Mohammad Mulhim and Mohammad Abukhattab and Dar, {Shoukat Rashhid} and {Al Moustafa}, {Ala Eddin} and Eyad Elkord and {Al Khal}, {Abdul Latif} and Elzouki, {Abdel Naser} and Farhan Cyprian",

note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = oct,

doi = "10.3390/vaccines9101056",

language = "English",

volume = "9",

journal = "Vaccines",

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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

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.

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KW - COVID-19

KW - MiRNA

KW - SARS-CoV-2

KW - SnoRNA

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U2 - 10.3390/vaccines9101056

DO - 10.3390/vaccines9101056

M3 - Article

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VL - 9

JO - Vaccines

JF - Vaccines

IS - 10

M1 - 1056

ER -

Snornas and mirnas networks underlying covid-19 disease severity

Abstract

Keywords

UN SDGs

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