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Potential drug targets of SARS-CoV-2: From genomics to therapeutics.

ABSTRACT: The emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) from China has become a global threat due to the continuous rise in cases of Coronavirus disease 2019 (COVID-19). The problem with COVID-19 therapeutics is due to complexity of the mechanism of the pathogenesis of this virus. In this review, an extensive analysis of genome architecture and mode of pathogenesis of SARS-CoV-2 with an emphasis on therapeutic approaches is performed. SARS-CoV-2 genome consists of a single, ~29.9 kb long RNA having significant sequence similarity to BAT-CoV, SARS-CoV and MERS-CoV genome. Two-third part of SARS-Cov-2 genome comprises of ORF (ORF1ab) resulting in the formation of 2 polyproteins, pp1a and pp1ab, later processed into 16 smaller non-structural proteins (NSPs). The four major structural proteins of SARS-CoV-2 are the spike surface glycoprotein (S), a small envelope (E), membrane (M), and nucleocapsid (N) proteins. S protein helps in receptor binding and membrane fusion and hence plays the most important role in the transmission of CoVs. Priming of S protein is done by serine 2 transmembrane protease and thus plays a key role in virus and host cell fusion. This review highlights the possible mechanism of action of SARS-CoV-2 to search for possible therapeutic options.

SUBMITTER: Shamsi A

PROVIDER: S-EPMC7871800 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe ongoing COVID-19 outbreak has caused devastating mortality and posed a significant threat to public health worldwide. Despite the severity of this illness and 2.3 million worldwide deaths, the disease mechanism is mostly unknown. Previous studies that characterized differential gene expression due to SARS-CoV-2 infection lacked robust validation. Although vaccines are now available, effective treatment options are still out of reach.ResultsTo characterize the transcriptional activity of SARS-CoV-2 infection, a gene signature consisting of 25 genes was generated using a publicly available RNA-Sequencing (RNA-Seq) dataset of cultured cells infected with SARS-CoV-2. The signature estimated infection level accurately in bronchoalveolar lavage fluid (BALF) cells and peripheral blood mononuclear cells (PBMCs) from healthy and infected patients (mean 0.001 vs. 0.958; P < 0.0001). These signature genes were investigated in their ability to distinguish the severity of SARS-CoV-2 infection in a single-cell RNA-Sequencing dataset. TNFAIP3, PPP1R15A, NFKBIA, and IFIT2 had shown bimodal gene expression in various immune cells from severely infected patients compared to healthy or moderate infection cases. Finally, this signature was assessed using the publicly available ConnectivityMap database to identify potential disease mechanisms and drug repurposing candidates. Pharmacological classes of tricyclic antidepressants, SRC-inhibitors, HDAC inhibitors, MEK inhibitors, and drugs such as atorvastatin, ibuprofen, and ketoconazole showed strong negative associations (connectivity score < - 90), highlighting the need for further evaluation of these candidates for their efficacy in treating SARS-CoV-2 infection.ConclusionsThus, using the 25-gene SARS-CoV-2 infection signature, the SARS-CoV-2 infection status was captured in BALF cells, PBMCs and postmortem lung biopsies. In addition, candidate SARS-CoV-2 therapies with known safety profiles were identified. The signature genes could potentially also be used to characterize the COVID-19 disease severity in patients' expression profiles of BALF cells.

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Potential drug targets of SARS-CoV-2: From genomics to therapeutics.

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