Metabolic modeling elucidates phenformin and atpenin A5 as broad-spectrum antiviral drugs against RNA viruses

The SARS-CoV-2 pandemic has reemphasized the urgent need for broad-spectrum antiviral therapies. We developed a computational workflow using scRNA-Seq data to assess cellular metabolism during viral infection. With this workflow we predicted the capacity of cells to sustain SARS-CoV-2 virion production in patients and found a tissue-wide induction of metabolic pathways that support viral replication. Expanding our analysis to influenza A and dengue viruses, we identified metabolic targets and inhibitors for potential broad-spectrum antiviral treatment. These targets were highly enriched for known interaction partners of all analyzed viruses. Indeed, phenformin, an NADH:ubiquinone oxidoreductase inhibitor, suppressed SARS-CoV-2 and dengue virus replication. Atpenin A5, blocking succinate dehydrogenase, inhibited SARS-CoV-2, dengue virus, respiratory syncytial virus, and influenza A virus with high selectivity indices. In vivo, phenformin showed antiviral activity against SARS-CoV-2 in a Syrian hamster model. Our work establishes host metabolism as druggable for broad-spectrum antiviral strategies, providing invaluable tools for pandemic preparedness.

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Publication Details

Journal
Communications Biology
Published
2025-05-23
DOI
https://doi.org/10.1038/s42003-025-08148-y
Citations
2
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
2.79

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article

Metabolic modeling elucidates phenformin and atpenin A5 as broad-spectrum antiviral drugs against RNA viruses

Alina Renz, Michael Schindler, Marcel Doerflinger, Lena Best et al.
2 citations
Communications Biology
SARS-CoV-2 and COVID-19 Research
2.79
article

Metabolic modeling elucidates phenformin and atpenin A5 as broad-spectrum antiviral drugs against RNA viruses

Alina Renz, Michael Schindler, Marcel Doerflinger, Lena Best, Raphaël Jami, Victoria Dulière, Γεώργιος Μαρίνος, Maximilian Breitenbach, Johanna Dürrwald, Filipe Cabreiro, Manuel Rosa‐Calatrava, Mirjam Hohner, Nantia Leonidou, Marc Pellegrini, Andreas Dräger, Jonathan Josephs‐Spaulding, Christoph Kaleta, Stefanie M. Bader, Andrés Pizzorno, Chloé Mialon
article en
2 citations

Abstract

The SARS-CoV-2 pandemic has reemphasized the urgent need for broad-spectrum antiviral therapies. We developed a computational workflow using scRNA-Seq data to assess cellular metabolism during viral infection. With this workflow we predicted the capacity of cells to sustain SARS-CoV-2 virion production in patients and found a tissue-wide induction of metabolic pathways that support viral replication. Expanding our analysis to influenza A and dengue viruses, we identified metabolic targets and inhibitors for potential broad-spectrum antiviral treatment. These targets were highly enriched for known interaction partners of all analyzed viruses. Indeed, phenformin, an NADH:ubiquinone oxidoreductase inhibitor, suppressed SARS-CoV-2 and dengue virus replication. Atpenin A5, blocking succinate dehydrogenase, inhibited SARS-CoV-2, dengue virus, respiratory syncytial virus, and influenza A virus with high selectivity indices. In vivo, phenformin showed antiviral activity against SARS-CoV-2 in a Syrian hamster model. Our work establishes host metabolism as druggable for broad-spectrum antiviral strategies, providing invaluable tools for pandemic preparedness.

Communications BiologyVol. 8(1)
Université Claude Bernard Lyon 1 (FR), École Normale Supérieure de Lyon (FR), Centre National de la Recherche Scientifique (FR), Inserm (FR), University of Cologne (DE), Walter and Eliza Hall Institute of Medical Research (AU), Christian-Albrechts-Universität zu Kiel (DE), German Center for Infection Research (DE), University Children's Hospital Tübingen (DE), Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (DE), Institute of Medical Microbiology and Hygiene (DE), Centre International de Recherche en Infectiologie (FR), Martin Luther University Halle-Wittenberg (DE), University of Glasgow (GB), University of Tübingen (DE)
Deutsches Zentrum für Infektionsforschung, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, German Network for Bioinformatics Infrastructure
Good health and well-being
Openalex Percentile: Top 11%
SARS-CoV-2 and COVID-19 Research
2.79
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