A comprehensive study on SARS-CoV-2 Through Gene Expression Meta-Analysis and Network Biology Approach
نویسندگان
1 Department of Biotechnology & Bioinformatics, NIIT University, Neemrana, Rajasthan, India
2 Department of Computer Engineering and Applications, GLA University, Mathura, UP, India
3 Department of Biotechnology, Netaji Subhas Institute of Technology, University of Delhi, New Delhi, India
4 Department of Biotechnology, Noida Institute of Engineering and Technology, Greater Noida, India
5 Department of Endocrinology, Sawai Man Singh Medical College and Hospital, Jaipur, India
doi
10.30491/jabr.2021.275694.1360چکیده
Introduction: Coronaviruses are significant pathogens of both human and animals and are globally distributed. Out of seven CoVs strains, the most lethal coronavirus strains being portrayed is SARS-CoV-2. It can cause bronchial asthma, and severe pneumonia and acute respiratory disease. Due to its contagion in infants, adults, and immunocompromised patients which further results in making this a deadly disease, thus there is an urgent need to develop effective and safe therapeutics against it.Materials and Methods: Meta-analysis of publicly available gene expression datasets belonging to SARS-CoV-2, SARS-CoV, MERS-CoV, and HCoV-229E were carried out to identify the potential differentially expressed genes exclusively associated with SARS-CoV-2, and then a network model was developed to decipher significant drug targets, associated pathways and drug candidates which can be repurposed for this infection.Results: The COVID-19 infection mainly targets immune responses and regulatory processes. A novel role of Relaxin signaling pathway was identified in SARS-CoV-2 infection. Anti-inflammatory, anti-tumor, nutraceutical and anthelmintic agents were found to be good prospective candidates for repurposing against COVID-19.Conclusions: This theoretical study resulted in the identification of approved drug targets that may have the potential to be repurposed for COVID 19 treatment.
