Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms.
Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms.
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DOI：
10.1007/s00284-016-1039-3
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发表时间：
2016-08
影响因子：
2.6
通讯作者：
Grzelak A
中科院分区：
文献类型：
--
作者：
Caban M;Strapagiel D;Dziadek J;Korycka-Machała M;Grzelak A
近年来，白色念珠菌感染的治疗已成为一个日益严重的问题，因为除其他外，致病菌株能够对所施用的药物产生耐药性。制定快速准确的电阻评估方法是许多研究的重要目标。他们的目的是避免不适当的剂量或药物选择，这在严重念珠菌病的情况下可能会危及生命。在这里，我们提出了一种预测白色念珠菌感染的新方案。抗性预测基于 ERG11 基因的高分辨率熔解 (HRM) 分析，特别是在特别不稳定的区域。从唾液中分离出的27株菌株中检测到2个具有统计学意义的核苷酸多态性，其中1个为沉默突变（Glu266Asp、Leu480Leu）。我们还建议 HRM 分析作为一种方便、简单且廉价的方法来初步选择在假定区域内 ERG11 核苷酸序列不同的白色念珠菌 DNA 样本。总而言之，我们的研究为开发快速、简单且可靠的白色念珠菌感染诊断方法提供了坚实的基础。
In recent years, Candida albicans infections treatment has become a growing problem because, among others, pathogenic strains are capable to develop resistance to the administered drugs. The elaboration of rapid and accurate method of resistance assessment is an important goal of many studies. They aim to avoid inappropriate dosage or drug choice, which may be life threatening in case of severe candidiasis. Here we propose a new protocol to predict C. albicans infections. The resistance prediction is based on high-resolution melt (HRM) analysis of ERG11 gene, especially, at the particularly unstable regions. Two statistically significant nucleotide polymorphisms were detected among twenty-seven strains isolated from saliva, one of which was silent mutation (Glu266Asp, Leu480Leu). We propose also HRM analysis as a convenient, simple and inexpensive method of preliminary selection of C. albicans DNA samples that vary in ERG11 nucleotide sequence within presumed region. Taken together, our study provides firm basis for the development of fast, simple and reliable methodology for diagnosis of C. albicans infections.