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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11277825PMC
http://dx.doi.org/10.3390/jof10070509DOI Listing

Publication Analysis

Top Keywords

fluconazole resistance
12
fluconazole
9
expression genes
8
molecular docking
8
relative expression
8
dose-dependent strains
8
median number
8
number contacts
8
contacts fluconazole
8
molecular
6

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!