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Hong Kong Med J
. 2024 Feb 8.
doi: 10.12809/hkmj2210178. Online ahead of print. Genetic association of COVID-19 severe versus non-severe cases by RNA sequencing in patients hospitalised in Hong Kong
Q Li 1 2 , Z Chen 2 , Y Zhang 2 , R W Y Chan 3 4 5 6 , M K C Chong 1 2 , B C Y Zee 1 2 , L Ling 7 , G Lui 7 , P K S Chan 8 , M H Wang 1 2
Affiliations
Introduction: The coronavirus disease 2019 (COVID-19) pandemic has caused extensive disruption of public health worldwide. There were reports of COVID-19 patients having multiple complications. This study investigated COVID-19 from a genetic perspective.
Methods: We conducted RNA sequencing (RNA-Seq) analysis of respiratory tract samples from 24 patients with COVID-19. Eight patients receiving mechanical ventilation or extracorporeal membrane oxygenation were regarded as severe cases; the remaining 16 patients were regarded as non-severe cases. After quality control, statistical analyses were performed by logistic regression and the Kolmogorov-Smirnov test to identify genes associated with disease severity.
Results: Six genes were associated with COVID-19 severity in both statistical tests, namely RPL15, BACE1-AS, CEPT1, EIF4G1, TMEM91, and TBCK. Among these genes, RPL15 and EIF4G1 played roles in the regulation of mRNA translation. Gene ontology analysis showed that the differentially expressed genes were mainly involved in nervous system diseases.
Conclusion: RNA sequencing analysis showed that severe acute respiratory syndrome coronavirus 2 infection is associated with the overexpression of genes involved in nervous system disorders.
Keywords: COVID-19; Protein biosynthesis; RNA-Seq; SARS-CoV-2.
. 2024 Feb 8.
doi: 10.12809/hkmj2210178. Online ahead of print. Genetic association of COVID-19 severe versus non-severe cases by RNA sequencing in patients hospitalised in Hong Kong
Q Li 1 2 , Z Chen 2 , Y Zhang 2 , R W Y Chan 3 4 5 6 , M K C Chong 1 2 , B C Y Zee 1 2 , L Ling 7 , G Lui 7 , P K S Chan 8 , M H Wang 1 2
Affiliations
- PMID: 38327202
- DOI: 10.12809/hkmj2210178
Introduction: The coronavirus disease 2019 (COVID-19) pandemic has caused extensive disruption of public health worldwide. There were reports of COVID-19 patients having multiple complications. This study investigated COVID-19 from a genetic perspective.
Methods: We conducted RNA sequencing (RNA-Seq) analysis of respiratory tract samples from 24 patients with COVID-19. Eight patients receiving mechanical ventilation or extracorporeal membrane oxygenation were regarded as severe cases; the remaining 16 patients were regarded as non-severe cases. After quality control, statistical analyses were performed by logistic regression and the Kolmogorov-Smirnov test to identify genes associated with disease severity.
Results: Six genes were associated with COVID-19 severity in both statistical tests, namely RPL15, BACE1-AS, CEPT1, EIF4G1, TMEM91, and TBCK. Among these genes, RPL15 and EIF4G1 played roles in the regulation of mRNA translation. Gene ontology analysis showed that the differentially expressed genes were mainly involved in nervous system diseases.
Conclusion: RNA sequencing analysis showed that severe acute respiratory syndrome coronavirus 2 infection is associated with the overexpression of genes involved in nervous system disorders.
Keywords: COVID-19; Protein biosynthesis; RNA-Seq; SARS-CoV-2.