Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms

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...

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Main Authors:	Caban, Monika, Strapagiel, Dominik, Dziadek, Jarosław, Korycka-Machała, Małgorzata, Grzelak, Agnieszka
Format:	Online
Language:	English
Published:	Springer US 2016
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923106/

id	pubmed-4923106
recordtype	oai_dc
spelling	pubmed-49231062016-07-13 Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms Caban, Monika Strapagiel, Dominik Dziadek, Jarosław Korycka-Machała, Małgorzata Grzelak, Agnieszka Article 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. Springer US 2016-04-23 2016 /pmc/articles/PMC4923106/ /pubmed/27107760 http://dx.doi.org/10.1007/s00284-016-1039-3 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Caban, Monika Strapagiel, Dominik Dziadek, Jarosław Korycka-Machała, Małgorzata Grzelak, Agnieszka
spellingShingle	Caban, Monika Strapagiel, Dominik Dziadek, Jarosław Korycka-Machała, Małgorzata Grzelak, Agnieszka Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms
author_facet	Caban, Monika Strapagiel, Dominik Dziadek, Jarosław Korycka-Machała, Małgorzata Grzelak, Agnieszka
author_sort	Caban, Monika
title	Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms
title_short	Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms
title_full	Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms
title_fullStr	Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms
title_full_unstemmed	Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms
title_sort	principles of a new protocol for prediction of azole resistance in candida albicans infections on the basis of erg11 polymorphisms
description	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.
publisher	Springer US
publishDate	2016
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923106/
_version_	1613600278245801984

Principles of a New Protocol for Prediction of Azole Resistance in Candida albicans Infections on the Basis of ERG11 Polymorphisms

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