Dataset Information

Genome-scale metabolic modeling reveals SARS-CoV-2-induced metabolic changes and antiviral targets.

ABSTRACT: Tremendous progress has been made to control the COVID-19 pandemic caused by the SARS-CoV-2 virus. However, effective therapeutic options are still rare. Drug repurposing and combination represent practical strategies to address this urgent unmet medical need. Viruses, including coronaviruses, are known to hijack host metabolism to facilitate viral proliferation, making targeting host metabolism a promising antiviral approach. Here, we describe an integrated analysis of 12 published in vitro and human patient gene expression datasets on SARS-CoV-2 infection using genome-scale metabolic modeling (GEM), revealing complicated host metabolism reprogramming during SARS-CoV-2 infection. We next applied the GEM-based metabolic transformation algorithm to predict anti-SARS-CoV-2 targets that counteract the virus-induced metabolic changes. We successfully validated these targets using published drug and genetic screen data and by performing an siRNA assay in Caco-2 cells. Further generating and analyzing RNA-sequencing data of remdesivir-treated Vero E6 cell samples, we predicted metabolic targets acting in combination with remdesivir, an approved anti-SARS-CoV-2 drug. Our study provides clinical data-supported candidate anti-SARS-CoV-2 targets for future evaluation, demonstrating host metabolism-targeting as a promising antiviral strategy.

SUBMITTER: Cheng K

PROVIDER: S-EPMC7852273 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Genome-scale metabolic modeling reveals SARS-CoV-2-induced metabolic changes and antiviral targets.

Cheng Kuoyuan K Martin-Sancho Laura L Pal Lipika R LR Pu Yuan Y Riva Laura L Yin Xin X Sinha Sanju S Nair Nishanth Ulhas NU Chanda Sumit K SK Ruppin Eytan E

bioRxiv : the preprint server for biology 20210825

Tremendous progress has been made to control the COVID-19 pandemic caused by the SARS-CoV-2 virus. However, effective therapeutic options are still rare. Drug repurposing and combination represent practical strategies to address this urgent unmet medical need. Viruses, including coronaviruses, are known to hijack host metabolism to facilitate viral proliferation, making targeting host metabolism a promising antiviral approach. Here, we describe an integrated analysis of 12 published <i>in vitro< ...[more]

PMID: 33532779

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Project description:Therapeutic inhibition of critical viral functions is important for curtailing coronavirus disease 2019 (COVID-19). We sought to identify antiviral targets through the genome-wide characterization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) proteins that are crucial for viral pathogenesis and that cause harmful cytopathogenic effects. All 29 viral proteins were tested in a fission yeast cell-based system using inducible gene expression. Twelve proteins, including eight nonstructural proteins (NSP1, NSP3, NSP4, NSP5, NSP6, NSP13, NSP14, and NSP15) and four accessory proteins (ORF3a, ORF6, ORF7a, and ORF7b), were identified that altered cellular proliferation and integrity and induced cell death. Cell death correlated with the activation of cellular oxidative stress. Of the 12 proteins, ORF3a was chosen for further study in mammalian cells because it plays an important role in viral pathogenesis and its activities are linked to lung tissue damage and a cytokine storm. In human pulmonary and kidney epithelial cells, ORF3a induced cellular oxidative stress associated with apoptosis and necrosis and caused activation of proinflammatory response with production of the cytokines tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), and IFN-β1, possibly through the activation of nuclear factor kappa B (NF-κB). To further characterize the mechanism, we tested a natural ORF3a Beta variant, Q57H, and a mutant with deletion of the highly conserved residue, ΔG188. Compared with wild-type ORF3a, the ΔG188 variant yielded more robust activation of cellular oxidative stress, cell death, and innate immune response. Since cellular oxidative stress and inflammation contribute to cell death and tissue damage linked to the severity of COVID-19, our findings suggest that ORF3a is a promising, novel therapeutic target against COVID-19. IMPORTANCE The ongoing COVID-19 pandemic caused by SARS-CoV-2 has claimed over 5.5 million lives with more than 300 million people infected worldwide. While vaccines are effective, the emergence of new viral variants could jeopardize vaccine protection. Treatment of COVID-19 by antiviral drugs provides an alternative to battle against the disease. The goal of this study was to identify viral therapeutic targets that can be used in antiviral drug discovery. Utilizing a genome-wide functional analysis in a fission yeast cell-based system, we identified 12 viral candidates, including ORF3a, which cause cellular oxidative stress, inflammation, apoptosis, and necrosis that contribute to cytopathogenicity and COVID-19. Our findings indicate that antiviral agents targeting ORF3a could have a great impact on COVID-19.

Dataset Information

Genome-scale metabolic modeling reveals SARS-CoV-2-induced metabolic changes and antiviral targets.

Publications

Genome-scale metabolic modeling reveals SARS-CoV-2-induced metabolic changes and antiviral targets.

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