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Evaluation of two matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) systems for the identification of Candida species

Authors :
A. Gicquel
Marie-Elisabeth Bougnoux
Florent Morio
C. Kauffmann-Lacroix
J. Meyer
Jacques Chandenier
Guillaume Desoubeaux
Christophe Hennequin
Nadine François
Boualem Sendid
Isabelle Accoceberry
Claire Lacroix
Juliette Guitard
Xavier Nassif
Laboratoire des Sciences des Procédés et des Matériaux (LSPM)
Université Paris 13 (UP13)-Institut Galilée-Université Sorbonne Paris Cité (USPC)-Centre National de la Recherche Scientifique (CNRS)
Physiopathologie des Candidoses
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé
Microbiologie cellulaire et moléculaire et pathogénicité (MCMP)
Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS)
Institut National de l'Environnement Industriel et des Risques (INERIS)
Immunité et Infection
Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR113-Université Pierre et Marie Curie - Paris 6 (UPMC)
Pathogénie des infections systémiques (UMR_S 570)
Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Assistance Publique-Hôpitaux de Paris
affiliation inconnue
Microbiologie Fondamentale et Pathogénicité (MFP)
Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR113-Institut National de la Santé et de la Recherche Médicale (INSERM)
Laboratoire des Sciences des Procédés et des Matériaux ( LSPM )
Université Paris 13 ( UP13 ) -Université Sorbonne Paris Cité ( USPC ) -Institut Galilée-Centre National de la Recherche Scientifique ( CNRS )
Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé
Microbiologie cellulaire et moléculaire et pathogénicité ( MCMP )
Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique ( CNRS )
Institut National de l'Environnement Industriel et des Risques ( INERIS )
Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR113-Institut National de la Santé et de la Recherche Médicale ( INSERM )
Pathogénie des infections systémiques ( UMR_S 570 )
Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS )
Source :
Clinical Microbiology and Infection, Clinical Microbiology and Infection, Elsevier for the European Society of Clinical Microbiology and Infectious Diseases, 2014, 20, pp.153-8, Clinical Microbiology and Infection, 2014, 20, pp.153-8, HAL
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

International audience; Candida spp. are responsible for severe infections in immunocompromised patients and those undergoing invasive procedures. The accurate identification of Candida species is important because emerging species can be associated with various antifungal susceptibility spectra. Conventional methods have been developed to identify the most common pathogens, but have often failed to identify uncommon species. Several studies have reported the efficiency of matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) for the identification of clinically relevant Candida species. In this study, we evaluated two commercially available MALDI-TOF systems, Andromas™ and Bruker Biotyper™, for Candida identification in routine diagnosis. For this purpose, we investigated 1383 Candida isolates prospectively collected in eight hospital laboratories during routine practice. MALDI-TOF MS results were compared with those obtained using conventional phenotypic methods. Analysis of rDNA gene sequences with internal transcribed regions or D1-D2 regions is considered the reference standard for identification. Both MALDI-TOF MS systems could accurately identify 98.3% of the isolates at the species level (1359/1383 for Andromas™; 1360/1383 for Bruker Biotyper™) vs. 96.5% for conventional techniques. Furthermore, whereas conventional methods failed to identify rare or emerging species, these were correctly identified by MALDI-TOF MS. Both MALDI-TOF MS systems are accurate and cost-effective alternatives to conventional methods for mycological identification of clinically relevant Candida species and should improve the diagnosis of fungal infections as well as patient management.

Details

Language :
English
ISSN :
1198743X and 14690691
Database :
OpenAIRE
Journal :
Clinical Microbiology and Infection, Clinical Microbiology and Infection, Elsevier for the European Society of Clinical Microbiology and Infectious Diseases, 2014, 20, pp.153-8, Clinical Microbiology and Infection, 2014, 20, pp.153-8, HAL
Accession number :
edsair.doi.dedup.....9fe9367d89a45d0f249a1320207fcdf6