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哥伦比亚人群中与氟康唑耐药相关的、、、和基因的mRNA表达的分子评估。

Molecular Evaluation of the mRNA Expression of the , , , and Genes Linked to Fluconazole Resistance in in a Colombian Population.

作者信息

Cárdenas Parra Leidy Yurany, Rojas Rodríguez Ana Elisa, Pérez Cárdenas Jorge Enrique, Pérez-Agudelo Juan Manuel

机构信息

Facultad de Ciencias para la Salud, Universidad de Caldas, Manizales 170004, Colombia.

Facultad de Ciencias de la Salud, Universidad Católica de Manizales, Manizales 170001, Colombia.

出版信息

J Fungi (Basel). 2024 Jul 22;10(7):509. doi: 10.3390/jof10070509.

Abstract

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.

摘要

引言

从分子角度研究与氟康唑耐药相关的基因,有助于增进对这一现象的理解,以便将其应用于临床。

目的

我们试图通过分析、、、和基因来确定氟康唑耐药的预测分子特征。

方法

使用RT-qPCR对基因表达进行定量。通过分子对接和费舍尔判别函数获得指标。此外,针对对氟康唑的敏感性进行预测分类。

结果

与氟康唑敏感的剂量依赖性菌株相比,氟康唑耐药菌株中、、和基因的相对表达更高。在暴露于氟康唑的菌株中相对表达最高的基因是,在暴露于氟康唑的耐药和敏感剂量依赖性菌株中也是如此。分子对接模型得出氟康唑与之间的接触中位数低于氟康唑与、-、和-之间的接触中位数。通过多变量模型对氟康唑敏感性进行的预测分类准确率达到73.5%。

结论

耐药菌株中编码外排泵的基因和基因有显著表达水平。分子分析使得确定氟康唑与其药理学靶点之间的低亲和力成为可能,这可能解释了该真菌对氟康唑较低的固有敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caca/11277825/75a0a313e5f3/jof-10-00509-g001.jpg

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