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Molecular Evaluation of the mRNA Expression of the ERG11 , ERG3 , CgCDR1 , and CgSNQ2 Genes Linked to Fluconazole Resistance in Candida glabrata in a Colombian Population.

Authors :
Cárdenas Parra, Leidy Yurany
Rojas Rodríguez, Ana Elisa
Pérez Cárdenas, Jorge Enrique
Pérez-Agudelo, Juan Manuel
Source :
Journal of Fungi. Jul2024, Vol. 10 Issue 7, p509. 17p.
Publication Year :
2024

Abstract

Introduction: The study of Candida glabrata 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 Candida glabrata by analyzing the ERG11, ERG3, CgCDR1, and CgSNQ2 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 C. glabrata to fluconazole. Results: The relative expression of the ERG3, CgCDR1, and CgSNQ2 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 CgCDR1, 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 ERG11 that was lower than the median number of contacts between fluconazole and ERG3, -CgCDR1, and -CgSNQ2. 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 ERG3 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2309608X
Volume :
10
Issue :
7
Database :
Academic Search Index
Journal :
Journal of Fungi
Publication Type :
Academic Journal
Accession number :
178694920
Full Text :
https://doi.org/10.3390/jof10070509