Evidence map›Paper›PMID 40410544›Full record

ArticleCommunications biology2025

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

Alina Renz, Mirjam Hohner, Raphaël Jami, Maximilian Breitenbach, Jonathan Josephs-Spaulding, Johanna Dürrwald, Lena Best, Victoria Dulière, Chloé Mialon, Stefanie M Bader and 10 more

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Coordination chemistry suggests that independently observed benefits of metformin and ZnBiometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
    Article
  3. Genome-scale model ofMicrobiology spectrum · 2024
    Article
  4. Genome-scale metabolic models consistently predictFrontiers in bioinformatics · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Alina Renz *Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karl University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0003-3851-9978
Mirjam Hohner *Institute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany.
Raphaël JamiInstitute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany.
Maximilian BreitenbachInstitute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany.
Jonathan Josephs-SpauldingResearch Group Medical Systems Biology, Institute of Experimental Medicine, Christian-Albrechts-University Kiel & University Hospital Schleswig Holstein, Kiel, Germany.
Johanna DürrwaldInstitute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany.
Lena BestResearch Group Medical Systems Biology, Institute of Experimental Medicine, Christian-Albrechts-University Kiel & University Hospital Schleswig Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0003-2772-153X
Victoria DulièreCIRI, Centre International de Recherche en Infectiologie (Team VirPath), Université de Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France.
Chloé MialonCIRI, Centre International de Recherche en Infectiologie (Team VirPath), Université de Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France.
Stefanie M BaderDivision of Infectious Diseases and Immune Defense, The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Georgios MarinosResearch Group Medical Systems Biology, Institute of Experimental Medicine, Christian-Albrechts-University Kiel & University Hospital Schleswig Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0002-6443-7696
Nantia LeonidouComputational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karl University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-0248-6679
Filipe CabreiroCologne Excellence Cluster for Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany.ORCID http://orcid.org/0000-0002-3696-4843
Marc PellegriniDivision of Infectious Diseases and Immune Defense, The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-3627-3126
Marcel DoerflingerDivision of Infectious Diseases and Immune Defense, The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Manuel Rosa-CalatravaCIRI, Centre International de Recherche en Infectiologie (Team VirPath), Université de Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France.
Andrés PizzornoCIRI, Centre International de Recherche en Infectiologie (Team VirPath), Université de Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France.ORCID http://orcid.org/0000-0002-0918-6804
Andreas DrägerComputational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard Karl University of Tübingen, Tübingen, Germany. andreas.draeger@informatik.uni-halle.de.ORCID http://orcid.org/0000-0002-1240-5553
Michael SchindlerInstitute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany. michael.schindler@med.uni-tuebingen.de.ORCID http://orcid.org/0000-0001-8989-5813
Christoph KaletaResearch Group Medical Systems Biology, Institute of Experimental Medicine, Christian-Albrechts-University Kiel & University Hospital Schleswig Holstein, Kiel, Germany. c.kaleta@iem.uni-kiel.de.ORCID http://orcid.org/0000-0001-8004-9514

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) CRC1182Deutsche Forschungsgemeinschaft (German Research Foundation) EXC2167
6 · The paper itself

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.

Indexed as

Antiviral AgentsCOVID-19 Drug TreatmentPhenforminRNA VirusesSARS-CoV-2AnimalsCOVID-19CricetinaeHumansInfluenza A virusMesocricetusVirus ReplicationAntiviral AgentsPhenformin

Identifiers

PMID40410544
PMCPMC12102274

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.