Evaluation of matrix-assisted laser desorption/ionisation time-of-flight (MALDI-TOF) mass spectrometry for identification of Candida parapsilosis, C. orthopsilosis and C. metapsilosis

Quiles-Melero, Inmaculada; García-Rodríguez, Julio; Gómez-López, Alicia; Mingorance, Jesús

doi:10.1007/s10096-011-1277-z

Cited by 51 publications

(23 citation statements)

References 21 publications

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“…C. parapsilosis sensu stricto could be identified, while C. orthopsilosis and C. metapsilosis species could not be identified by the Vitek MS v2.0 system, a result attributable to the absence of reference spectra in the v2.0 database. Given that the Bruker Biotyper can identify C. orthopsilosis and C. metapsilosis, enhancements to the current Vitek MS v2.0 database may be warranted (26). Some closely related species that are difficult to identify by conventional methods, such as C. dubliniensis, which is closely related to C. albicans, were not included in this study.…”

Section: Discussionmentioning

confidence: 99%

Yeast Identification Algorithm Based on Use of the Vitek MS System Selectively Supplemented with Ribosomal DNA Sequencing: Proposal of a Reference Assay for Invasive Fungal Surveillance Programs in China

Zhang

Xiao

et al. 2014

J Clin Microbiol

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c Sequence analysis of the internal transcribed spacer (ITS) region was employed as the gold standard method for yeast identification in the China Hospital Invasive Fungal Surveillance Net (CHIF-NET). It has subsequently been found that matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is potentially a more practical approach for this purpose. In the present study, the performance of the Vitek MS v2.0 system for the identification of yeast isolates collected from patients with invasive fungal infections in the 2011 CHIF-NET was evaluated. A total of 1,243 isolates representing 31 yeast species were analyzed, and the identification results by the Vitek MS v2.0 system were compared to those obtained by ITS sequence analysis. By the Vitek MS v2.0 system, 96.7% (n ‫؍‬ 1,202) of the isolates were correctly assigned to the species level and 0.2% (n ‫؍‬ 2) of the isolates were identified to the genus level, while 2.4% (n ‫؍‬ 30) and 0.7% (n ‫؍‬ 9) of the isolates were unidentified and misidentified, respectively. After retesting of the unidentified and misidentified strains, 97.3% (n ‫؍‬ 1,209) of the isolates were correctly identified to the species level. Based on these results, a testing algorithm that combines the use of the Vitek MS system with selected supplementary ribosomal DNA (rDNA) sequencing was developed and validated for yeast identification purposes. By employing this algorithm, 99.7% (1,240/1,243) of the study isolates were accurately identified with the exception of two isolates of Candida fermentati and one isolate of Cryptococcus gattii. In conclusion, the proposed identification algorithm could be practically implemented in strategic programs of fungal infection surveillance.T he global antifungal surveillance programs have provided important global epidemiology and susceptibility data for invasive yeast infections (1-6). In July 2009, the multicenter nationwide China Hospital Invasive Fungal Surveillance Net (CHIF-NET) study was established, and since then it has provided important information on the epidemiology of fungal diseases in China (7). The importance of confirmatory identification in fungal surveillance programs has been highlighted by reports that the initial identifications by the participating laboratories may be inaccurate, particularly for isolates that are uncommon or have unusual biochemical or phenotypic profiles (7,8). Currently, sequencing-based methods are recognized as the gold standard for identifying yeast species (9). In the 2010 CHIF-NET surveillance study, all 814 isolates were confirmed by internal transcribed spacer (ITS) region sequencing in a central laboratory (7). However, the subsequent expansion of the CHIF-NET program has led to a dramatic increase in the numbers of both the participating laboratories and the referred isolates, precluding the universal application of the high-cost and labor-intensive sequence-based identification methods.Recently, matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass...

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Section: Discussionmentioning

confidence: 99%

Yeast Identification Algorithm Based on Use of the Vitek MS System Selectively Supplemented with Ribosomal DNA Sequencing: Proposal of a Reference Assay for Invasive Fungal Surveillance Programs in China

Zhang

Xiao

et al. 2014

J Clin Microbiol

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“…(20,29,(35)(36)(37). MALDI-TOF MS has been applied successfully to identify Cryptococcus species, including varieties and hybrids, Candida albicans and non-albicans Candida species, and rare pathogenic yeasts (29,30,(38)(39)(40)(41)(42)(43)(44). Non-Candida species isolates, such as Geotrichum, Galactomyces, Saprochaete, Magnusiomyces, and Trichosporon spp., are underrepresented in the reference library and thus MALDI-TOF MS identification runs were less successful, resulting in low identification rates or failure of reliable analysis (36,45).…”

Section: Discussionmentioning

confidence: 99%

Identification of Medically Relevant Species of Arthroconidial Yeasts by Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry

et al. 2013

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“…The MALDI-TOF test allowed us to relate the investigated fungal isolates to the following species: C. albicans (185 isolates), C. glabrata (70 isolates), C. parapsilosis (56 isolates), C. tropicalis (48 isolates), C. dubliniensis (21 isolates), C. krusei (8 isolates), C. metapsilosis (5 isolates), C. lusitaniae (4 isolates), C. kefyr (2 isolates), C. orthopsilosis (1 isolate), C. guilliermondii (1 isolate), C. utilis (1 isolate), C. intermedia (1 isolate), Saccharomyces cerevisiae (7 isolates), Trichosporon asahii (1 isolate), Trichosporon inkin (1 isolate), and Trichosporon mucoides (1 isolate) (see Table S3 in the supplemental material). The discriminatory power of MALDI-TOF MS could be demonstrated by its ability to distinguish three closely related species, including C. parapsilosis, C. metapsilosis, and C. orthopsilosis and others related species (34)(35)(36). There were no discrepancies between Chromagar and MALDI-TOF results (see Table S3 in the supplemental material).…”

Section: Resultsmentioning

confidence: 95%

“…This method has been used successfully to determine the mass of proteins and peptides in addition to identifying previously unknown proteins. In recent years, MALDI-TOF MS has been implemented in routine laboratories and utilized as a completely new approach for the identification of bacteria, yeast, and filamentous fungi (16,(30)(31)(32)(33)(34).…”

Section: Resultsmentioning

confidence: 99%

Characterization of a New Clinical Yeast Species, Candida tunisiensis sp. nov., Isolated from a Strain Collection from Tunisian Hospitals

Eddouzi¹,

Hofstetter

Groenewald

et al. 2013

J Clin Microbiol

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dFrom a collection of yeast isolates isolated from patients in Tunisian hospitals between September 2006 and July 2010, the yeast strain JEY63 (CBS 12513), isolated from a 50-year-old male that suffered from oral thrush, could not be identified to the species level using conventional methods used in clinical laboratories. These methods include matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS), germ tube formation, and the use of CHROMagar Candida and metabolic galleries. Sequence analysis of the nuclear rRNA (18S rRNA, 5.8S rRNA, and 26S rRNA) and internal transcribed spacer regions (ITS1 and ITS2) indicated that the ribosomal DNA sequences of this species were not yet reported. Multiple gene phylogenic analyses suggested that this isolate clustered at the base of the Dipodascaceae (Saccharomycetales, Saccharomycetes, and Ascomycota). JEY63 was named Candida tunisiensis sp. nov. according to several phenotypic criteria and its geographical origin. C. tunisiensis was able to grow at 42°C and does not form chlamydospores and hyphae but could grow as yeast and pseudohyphal forms. C. tunisiensis exhibited most probably a haploid genome with an estimated size of 10 Mb on at least three chromosomes. Using European Committee for Antimicrobial Susceptibility Testing (EUCAST) and Clinical and Laboratory Standards Institute (CLSI) Candida albicans susceptibility breakpoints as a reference, C. tunisiensis was resistant to fluconazole (MIC ‫؍‬ 8 g/ml), voriconazole (MIC ‫؍‬ 0.5 g/ml), itraconazole (MIC ‫؍‬ 16 g/ml), and amphotericin B (MIC ‫؍‬ 4 g/ml) but still susceptible to posaconazole (MIC ‫؍‬ 0.008 g/ml) and caspofungin (MIC ‫؍‬ 0.5 g/ml). In conclusion, MALDI-TOF MS permitted the early selection of an unusual isolate, which was still unreported in molecular databases but could not be unambiguously classified based on phylogenetic approaches.

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Evaluation of matrix-assisted laser desorption/ionisation time-of-flight (MALDI-TOF) mass spectrometry for identification of Candida parapsilosis, C. orthopsilosis and C. metapsilosis

Cited by 51 publications

References 21 publications

Yeast Identification Algorithm Based on Use of the Vitek MS System Selectively Supplemented with Ribosomal DNA Sequencing: Proposal of a Reference Assay for Invasive Fungal Surveillance Programs in China

Yeast Identification Algorithm Based on Use of the Vitek MS System Selectively Supplemented with Ribosomal DNA Sequencing: Proposal of a Reference Assay for Invasive Fungal Surveillance Programs in China

Identification of Medically Relevant Species of Arthroconidial Yeasts by Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry

Characterization of a New Clinical Yeast Species, Candida tunisiensis sp. nov., Isolated from a Strain Collection from Tunisian Hospitals

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