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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.
Cárdenas Parra, Leidy Yurany; Rojas Rodríguez, Ana Elisa; Pérez Cárdenas, Jorge Enrique; Pérez-Agudelo, Juan Manuel.
Afiliação
  • Cárdenas Parra LY; Facultad de Ciencias para la Salud, Universidad de Caldas, Manizales 170004, Colombia.
  • Rojas Rodríguez AE; Facultad de Ciencias de la Salud, Universidad Católica de Manizales, Manizales 170001, Colombia.
  • Pérez Cárdenas JE; Facultad de Ciencias de la Salud, Universidad Católica de Manizales, Manizales 170001, Colombia.
  • Pérez-Agudelo JM; Facultad de Ciencias para la Salud, Universidad de Caldas, Manizales 170004, Colombia.
J Fungi (Basel) ; 10(7)2024 Jul 22.
Article em En | MEDLINE | ID: mdl-39057394
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Colombia Idioma: En Revista: J Fungi (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Colombia Idioma: En Revista: J Fungi (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Suíça