Role of Multiomics Data to Understand Host–Pathogen Interactions in COVID-19 Pathogenesis
journal contributionposted on 11.01.2021, 10:34 by Shalini Aggarwal, Arup Acharjee, Amrita Mukherjee, Mark S. Baker, Sanjeeva Srivastava
Human infectious diseases are contributed equally by the host immune system’s efficiency and any pathogens’ infectivity. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the coronavirus strain causing the respiratory pandemic coronavirus disease 2019 (COVID-19). To understand the pathobiology of SARS-CoV-2, one needs to unravel the intricacies of host immune response to the virus, the viral pathogen’s mode of transmission, and alterations in specific biological pathways in the host allowing viral survival. This review critically analyzes recent research using high-throughput “omics” technologies (including proteomics and metabolomics) on various biospecimens that allow an increased understanding of the pathobiology of SARS-CoV-2 in humans. The altered biomolecule profile facilitates an understanding of altered biological pathways. Further, we have performed a meta-analysis of significantly altered biomolecular profiles in COVID-19 patients using bioinformatics tools. Our analysis deciphered alterations in the immune response, fatty acid, and amino acid metabolism and other pathways that cumulatively result in COVID-19 disease, including symptoms such as hyperglycemic and hypoxic sequelae.
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COVID -19 Pathogenesis Humanbiomolecular profilessyndrome coronavirus 2hypoxic sequelaealterationCOVID -19 patientsCOVID -19 diseaseunderstandinghostacid metabolismbioinformatics toolsSARS-CoV -2pathogenMultiomics Datapathwaybiomolecule profilepathobiologyresponsecoronavirus strainpandemic coronavirus disease 2019