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Performance of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identifying Clinical Malassezia Isolates

The genus Malassezia comprises commensal yeasts on human skin. These yeasts are involved in superficial infections but are also isolated in deeper infections, such as fungemia, particularly in certain at-risk patients, such as neonates or patients with parenteral nutrition catheters. Very little is...

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Autores principales: Denis, Julie, Machouart, Marie, Morio, Florent, Sabou, Marcela, Kauffmann-LaCroix, Catherine, Contet-Audonneau, Nelly, Candolfi, Ermanno, Letscher-Bru, Valérie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5228266/
https://www.ncbi.nlm.nih.gov/pubmed/27795342
http://dx.doi.org/10.1128/JCM.01763-16
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author Denis, Julie
Machouart, Marie
Morio, Florent
Sabou, Marcela
Kauffmann-LaCroix, Catherine
Contet-Audonneau, Nelly
Candolfi, Ermanno
Letscher-Bru, Valérie
author_facet Denis, Julie
Machouart, Marie
Morio, Florent
Sabou, Marcela
Kauffmann-LaCroix, Catherine
Contet-Audonneau, Nelly
Candolfi, Ermanno
Letscher-Bru, Valérie
author_sort Denis, Julie
collection PubMed
description The genus Malassezia comprises commensal yeasts on human skin. These yeasts are involved in superficial infections but are also isolated in deeper infections, such as fungemia, particularly in certain at-risk patients, such as neonates or patients with parenteral nutrition catheters. Very little is known about Malassezia epidemiology and virulence. This is due mainly to the difficulty of distinguishing species. Currently, species identification is based on morphological and biochemical characteristics. Only molecular biology techniques identify species with certainty, but they are time-consuming and expensive. The aim of this study was to develop and evaluate a matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) database for identifying Malassezia species by mass spectrometry. Eighty-five Malassezia isolates from patients in three French university hospitals were investigated. Each strain was identified by internal transcribed spacer sequencing. Forty-five strains of the six species Malassezia furfur, M. sympodialis, M. slooffiae, M. globosa, M. restricta, and M. pachydermatis allowed the creation of a MALDI-TOF database. Forty other strains were used to test this database. All strains were identified by our Malassezia database with log scores of >2.0, according to the manufacturer's criteria. Repeatability and reproducibility tests showed a coefficient of variation of the log score values of <10%. In conclusion, our new Malassezia database allows easy, fast, and reliable identification of Malassezia species. Implementation of this database will contribute to a better, more rapid identification of Malassezia species and will be helpful in gaining a better understanding of their epidemiology.
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spelling pubmed-52282662017-01-23 Performance of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identifying Clinical Malassezia Isolates Denis, Julie Machouart, Marie Morio, Florent Sabou, Marcela Kauffmann-LaCroix, Catherine Contet-Audonneau, Nelly Candolfi, Ermanno Letscher-Bru, Valérie J Clin Microbiol Mycology The genus Malassezia comprises commensal yeasts on human skin. These yeasts are involved in superficial infections but are also isolated in deeper infections, such as fungemia, particularly in certain at-risk patients, such as neonates or patients with parenteral nutrition catheters. Very little is known about Malassezia epidemiology and virulence. This is due mainly to the difficulty of distinguishing species. Currently, species identification is based on morphological and biochemical characteristics. Only molecular biology techniques identify species with certainty, but they are time-consuming and expensive. The aim of this study was to develop and evaluate a matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) database for identifying Malassezia species by mass spectrometry. Eighty-five Malassezia isolates from patients in three French university hospitals were investigated. Each strain was identified by internal transcribed spacer sequencing. Forty-five strains of the six species Malassezia furfur, M. sympodialis, M. slooffiae, M. globosa, M. restricta, and M. pachydermatis allowed the creation of a MALDI-TOF database. Forty other strains were used to test this database. All strains were identified by our Malassezia database with log scores of >2.0, according to the manufacturer's criteria. Repeatability and reproducibility tests showed a coefficient of variation of the log score values of <10%. In conclusion, our new Malassezia database allows easy, fast, and reliable identification of Malassezia species. Implementation of this database will contribute to a better, more rapid identification of Malassezia species and will be helpful in gaining a better understanding of their epidemiology. American Society for Microbiology 2016-12-28 2017-01 /pmc/articles/PMC5228266/ /pubmed/27795342 http://dx.doi.org/10.1128/JCM.01763-16 Text en Copyright © 2016 Denis et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Mycology
Denis, Julie
Machouart, Marie
Morio, Florent
Sabou, Marcela
Kauffmann-LaCroix, Catherine
Contet-Audonneau, Nelly
Candolfi, Ermanno
Letscher-Bru, Valérie
Performance of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identifying Clinical Malassezia Isolates
title Performance of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identifying Clinical Malassezia Isolates
title_full Performance of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identifying Clinical Malassezia Isolates
title_fullStr Performance of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identifying Clinical Malassezia Isolates
title_full_unstemmed Performance of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identifying Clinical Malassezia Isolates
title_short Performance of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Identifying Clinical Malassezia Isolates
title_sort performance of matrix-assisted laser desorption ionization–time of flight mass spectrometry for identifying clinical malassezia isolates
topic Mycology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5228266/
https://www.ncbi.nlm.nih.gov/pubmed/27795342
http://dx.doi.org/10.1128/JCM.01763-16
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