Introduction: The study of genes associated with fluconazole resistance, from a molecular perspective, increases the understanding of the phenomenon with a view to its clinical applicability.
Objective: We sought to establish the predictive molecular profile of fluconazole resistance in by analyzing the , , , and genes.
Method: Expression was quantified using RT-qPCR. Metrics were obtained through molecular docking and Fisher discriminant functions. Additionally, a predictive classification was made against the susceptibility of to fluconazole.
Results: The relative expression of the , , and genes was higher in the fluconazole-resistant strains than in the fluconazole-susceptible, dose-dependent strains. The gene with the highest relative expression in the fluconazole-exposed strains was , and in both the resistant and susceptible, dose-dependent strains exposed to fluconazole, this was also the case. The molecular docking model generated a median number of contacts between fluconazole and that was lower than the median number of contacts between fluconazole and , -, and -. The predicted classification through the multivariate model for fluconazole susceptibility achieved an accuracy of 73.5%.
Conclusion: The resistant strains had significant expression levels of genes encoding efflux pumps and the gene. Molecular analysis makes the identification of a low affinity between fluconazole and its pharmacological target possible, which may explain the lower intrinsic susceptibility of the fungus to fluconazole.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11277825 | PMC |
http://dx.doi.org/10.3390/jof10070509 | DOI Listing |
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