Cited by 183Antifungal resistance and susceptibilityFungal and yeast genetics researchFungal Plant Pathogen Control

Cross‐species discovery of syncretic drug combinations that potentiate the antifungal fluconazole

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Spitzer, Michaela, Griffiths, Emma, Blakely, Kim M, Wildenhain, Jan, Ejim, Linda, Rossi, Laura, De Pascale, Gianfranco, Curak, Jasna +3 more·2011·Molecular Systems Biology

Abstract

Resistance to widely used fungistatic drugs, particularly to the ergosterol biosynthesis inhibitor fluconazole, threatens millions of immunocompromised patients susceptible to invasive fungal infections. The dense network structure of synthetic lethal genetic interactions in yeast suggests that combinatorial network inhibition may afford increased drug efficacy and specificity. We carried out systematic screens with a bioactive library enriched for off-patent drugs to identify compounds that potentiate fluconazole action in pathogenic Candida and Cryptococcus strains and the model yeast Saccharomyces. Many compounds exhibited species- or genus-specific synergism, and often improved fluconazole from fungistatic to fungicidal activity. Mode of action studies revealed two classes of synergistic compound, which either perturbed membrane permeability or inhibited sphingolipid biosynthesis. Synergistic drug interactions were rationalized by global genetic interaction networks and, notably, higher order drug combinations further potentiated the activity of fluconazole. Synergistic combinations were active against fluconazole-resistant clinical isolates and an in vivo model of Cryptococcus infection. The systematic repurposing of approved drugs against a spectrum of pathogens thus identifies network vulnerabilities that may be exploited to increase the activity and repertoire of antifungal agents.

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References 68 · Cited by 183

Research works printed but not linked: 1

  1. Richardson M, Warnock D (2003) Fungal Infection: Diagnosis and Management. Oxford: Blackwell Publishing

Authors
Spitzer, M., Griffiths, E., Blakely, K. M., Wildenhain, J., Ejim, L., Rossi, L., De Pascale, G., Curak, J., Brown, E., Tyers, M., & Wright, G. D.
Affiliations
  • Wellcome Centre for Cell Biology (GB)
  • University of British Columbia (CA)
  • Michael G. DeGroote Institute for Infectious Disease Research (CA)
Corresponding author
  • Tyers, Mike
  • Wright, Gerard D
Venue
Molecular Systems Biology
Published
2011-06-21
Volume
7
Issue
1
Pages
499-499
ISSN
1744-4292 (ISSN-L)
OpenAlex
W2116536284
Cited by
183
References
68
Citations by year
2026: 9 · 2025: 2 · 2024: 10 · 2023: 6 · 2022: 9 · 2021: 7 · 2020: 19 · 2019: 13 · 2018: 12 · 2017: 13 · 2016: 17 · 2015: 14 · 2014: 10 · 2013: 17 · 2012: 18
FWCI
10.84
Type
journal article
Language
en
Open access
Locations
  • Molecular Systems Biology (publishedVersion, other-oa)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion, cc-by-nc-sa)
  • PubMed (publishedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (publishedVersion, other-oa)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • European Commission (223411)
  • Canadian Institutes of Health Research (FRN79488)
Topics
  • Health Sciences › Medicine › Infectious Diseases › Antifungal resistance and susceptibility
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Fungal Plant Pathogen Control
Keywords
antifungal synergy, drug repurposing, Candida, Cryptococcus, Saccharomyces cerevisiae, synthetic genetic interactions, membrane permeability, fungicidal activity, antifungal resistance, invasive fungal infections, immunocompromised patients
MeSH terms
Animals, Antifungal Agents, Candida, Cryptococcus, Drug Synergism, Ergosterol, Insecta, Microbial Sensitivity Tests, Saccharomyces, Species Specificity, Fluconazole, Computational Biology, Gene Expression Profiling, Drug Resistance, Fungal

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