ArticleJournal of clinical microbiology2014
Matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry using the Vitek MS system for rapid and accurate identification of dermatophytes on solid cultures.
Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Tinea Manuum Caused by Trichophyton benhamiae Following Exposure to a Pet Guinea Pig in the United States.Cureus · 2026Article
- Superficial Fungal Infections in Children-What Do We Know?Journal of clinical medicine · 2025Review
- Current Performance of MALDI-TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species.Journal of fungi (Basel, Switzerland) · 2025Article
- Seborrheic dermatitis-like adult tinea capitis due toMedical mycology case reports · 2023Article
- Fungal communities on alpine cheese rinds in Southern Switzerland.Botanical studies · 2023Article
- Mass spectrometry in research laboratories and clinical diagnostic: a new era in medical mycology.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022Review
- Investigations upon the Improvement of Dermatophyte Identification Using an Online Mass Spectrometry Application.Journal of fungi (Basel, Switzerland) · 2022Article
- Matrix-Assisted Laser Desorption Ionization Time-of-Flight for Fungal Identification.Clinics in laboratory medicine · 2021Review
- Identification of Zoophilic Dermatophytes Using MALDI-TOF Mass Spectrometry.Frontiers in cellular and infection microbiology · 2021Article
- An exploratory MALDI-TOF MS library based on SARAMIS superspectra for rapid identification ofMycoscience · 2021Article
- Recent trends in rapid diagnostic techniques for dermatophytosis.International journal of veterinary science and medicine · 2020Review
- Tinea gladiatorum due toCurrent medical mycology · 2020Article
- Epidemiology and Diagnostic Perspectives of Dermatophytoses.Journal of fungi (Basel, Switzerland) · 2020Review
- Identification of clinical dermatophyte isolates obtained from Iran by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.Current medical mycology · 2019Article
- Ultra-High-Resolution Mass Spectrometry for Identification of Closely Related Dermatophytes with Different Clinical Predilections.Journal of clinical microbiology · 2018Article
- Multicenter Evaluation of the Vitek MS v3.0 System for the Identification of Filamentous Fungi.Journal of clinical microbiology · 2018Article
- New method for the identification of arbuscular mycorrhizal fungi by proteomic-based biotyping of spores using MALDI-TOF-MS.Scientific reports · 2017Article
- Identification of Molds by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.Journal of clinical microbiology · 2017Review
- Diagnosis of Dermatophytosis Using Molecular Biology.Mycopathologia · 2017Review
- MALDI-TOF-Based Dermatophyte Identification.Mycopathologia · 2017Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this research was to extend the Vitek MS fungal knowledge base version 2.0.0 to allow the robust identification of clinically relevant dermatophytes, using a variety of strains, incubation times, and growth conditions. First, we established a quick and reliable method for sample preparation to obtain a reliable and reproducible identification independently of the growth conditions. The Vitek MS V2.0.0 fungal knowledge base was then expanded using 134 well-characterized strains belonging to 17 species in the genera Epidermophyton, Microsporum, and Trichophyton. Cluster analysis based on mass spectrum similarity indicated good species discrimination independently of the culture conditions. We achieved a good separation of the subpopulations of the Trichophyton anamorph of Arthroderma benhamiae and of anthropophilic and zoophilic strains of Trichophyton interdigitale. Overall, the 1,130 mass spectra obtained for dermatophytes gave an estimated identification performance of 98.4%. The expanded fungal knowledge base was then validated using 131 clinical isolates of dermatophytes belonging to 13 taxa. For 8 taxa all strains were correctly identified, and for 3 the rate of successful identification was >90%; 75% (6/8) of the M. gypseum strains were correctly identified, whereas only 47% (18/38) of the African T. rubrum population (also called T. soudanense) were recognized accurately, with a large quantity of strains misidentified as T. violaceum, demonstrating the close relationship of these two taxa. The method of sample preparation was fast and efficient and the expanded Vitek MS fungal knowledge base reliable and robust, allowing reproducible dermatophyte identifications in the routine laboratory.
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