Publications
Pathogenetic profiling of COVID-19 and SARS-like viruses
Abstract
The novel coronavirus (2019-nCoV) has recently emerged, causing COVID-19 outbreaks and significant societal/global disruption. Importantly, COVID-19 infection resembles SARS-like complications. However, the lack of knowledge about the underlying genetic mechanisms of COVID-19 warrants the development of prospective control measures. In this study, we employed whole-genome alignment and digital DNA-DNA hybridization analyses to assess genomic linkage between 2019-nCoV and other coronaviruses. To understand the pathogenetic behavior of 2019-nCoV, we compared gene expression datasets of viral infections closest to 2019-nCoV with four COVID-19 clinical presentations followed by functional enrichment of shared dysregulated genes. Potential chemical antagonists were also identified using protein-chemical interaction analysis. Based on phylogram analysis, the 2019-nCoV was found genetically closest to SARS-CoVs. In addition, we identified 562 upregulated and 738 downregulated genes (adj. P </= 0.05) with SARS-CoV infection. Among the dysregulated genes, SARS-CoV shared </=19 upregulated and </=22 downregulated genes with each of different COVID-19 complications. Notably, upregulation of BCL6 and PFKFB3 genes was common to SARS-CoV, pneumonia and severe acute respiratory syndrome, while they shared CRIP2, NSG1 and TNFRSF21 genes in downregulation. Besides, 14 genes were common to different SARS-CoV comorbidities that might influence COVID-19 disease. We also observed similarities in pathways that can lead to COVID-19 and SARS-CoV diseases. Finally, protein-chemical interactions suggest cyclosporine, resveratrol and quercetin as promising drug candidates against COVID-19 as well as other SARS-like viral infections. The pathogenetic analyses, along with identified biomarkers, signaling pathways and chemical antagonists, could prove useful for novel drug development in the fight against the current global 2019-nCoV pandemic.
Type | Journal |
---|---|
ISBN | 1477-4054 (Electronic) 1467-5463 (Linking) |
Authors | Nain, Z.; Rana, H. K.; Lio, P.; Islam, S. M. S.; Summers, M. A.; Moni, M. A. |
Responsible Garvan Author | (missing name) |
Publisher Name | BRIEFINGS IN BIOINFORMATICS |
Published Date | 2021-03-31 |
Published Volume | 22 |
Published Issue | 2 |
Published Pages | 1175-1196 |
Status | Published in-print |
DOI | 10.1093/bib/bbaa173 |
URL link to publisher's version | https://www.ncbi.nlm.nih.gov/pubmed/32778874 |