Reviewnpj antimicrobials and resistance2024
Unlocking the potential of experimental evolution to study drug resistance in pathogenic fungi.
Review in npj antimicrobials and resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed.
- Directed evolution of the pathogenic moldAntimicrobial agents and chemotherapy · 2026Article
- Experimental evolution of fungal pathogens as a tool to unravel host adaptation and virulence.PLoS pathogens · 2026Article
- Machine learning identifies novel signatures of antifungal drug resistance in Saccharomycotina yeasts.PLoS genetics · 2026Article
- Experimental Evolution of PathogenicMicroorganisms · 2026Review
- Bacterial secondary metabolites as resistance-modifying adjuvants: microbial origins, molecular mechanisms, and translational relevance.Frontiers in microbiology · 2026Review
- Precision antimicrobials: the next paradigm shift after broad-spectrum therapy.Frontiers in microbiology · 2026Article
- Resisting the gallium "Trojan horse": Experimental evolutionary insights into microbial resistance.Gene & protein in disease · 2026Article
- Genomics insights of candidiasis: mechanisms of pathogenicity and drug resistance.Frontiers in microbiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exploring the dynamics and molecular mechanisms of antimicrobial drug resistance provides critical insights for developing effective strategies to combat it. This review highlights the potential of experimental evolution methods to study resistance in pathogenic fungi, drawing on insights from bacteriology and innovative approaches in mycology. We emphasize the versatility of experimental evolution in replicating clinical and environmental scenarios and propose that incorporating evolutionary modelling can enhance our understanding of antifungal resistance evolution. We advocate for a broader application of experimental evolution in medical mycology to improve our still limited understanding of drug resistance in fungi.
Identifiers
What OpenQuestion holds
Registered trials
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.