ArticleJournal of clinical microbiology2017
Validation of a New Web Application for Identification of Fungi by Use of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.
Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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Who cites it
64 citing papers in PubMed.
- Global Spread of Trichophyton indotineae Tracked by Mass Spectrometry Identification Network, 2022-2025.Emerging infectious diseases · 2026Article
- Evaluation of MALDI-TOF MS for identification of clinical filamentous fungi in a routine mycology laboratory.BMC microbiology · 2026Article
- Environmental and Phylogenetic Investigations of Aspergillus flavus Outbreak Linked to Contaminated Building Materials, Denmark, 2025.Emerging infectious diseases · 2026Article
- Comparison of MALDI-TOF MS instruments and databases for the identification of uncommon yeasts,Journal of clinical microbiology · 2025Article
- Molecular Tracking of Emerging Fusarium Species in Keratitis: F. veterinarium, F. contaminatum, and F. curvatum.Mycopathologia · 2025Article
- Identification of Southeast Asian Anopheles mosquito species with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry using a cross-correlation approach.Parasites & vectors · 2025Article
- Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry: A breakthrough in rapid and precise mold identification.Current medical mycology · 2025Article
- Pan-azole resistance in clinicalOne health (Amsterdam, Netherlands) · 2024Article
- Reverse-transcriptase real-time PCR in the diagnostic strategy for invasive infections caused byJournal of clinical microbiology · 2024Article
- Environmental Hot Spots and Resistance-Associated Application Practices for Azole-Resistant Aspergillus fumigatus, Denmark, 2020-2023.Emerging infectious diseases · 2024Article
- Scedosporiosis and lomentosporiosis: modern perspectives on these difficult-to-treat rare mold infections.Clinical microbiology reviews · 2024Review
- Resistance Profile, Terbinafine Resistance Screening and MALDI-TOF MS Identification of the Emerging Pathogen Trichophyton indotineae.Mycopathologia · 2024Article
- Identification of Southeast Asian Anopheles mosquito species using MALDI-TOF mass spectrometry.PloS one · 2024Article
- A comparative study for optimization of MALDI-TOF MS identification of filamentous fungi.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023Article
- Performance of the MSI-2 Database for Fungal Identification by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry from Cleanroom Environments.Journal of clinical microbiology · 2023Article
- Fungal communities on alpine cheese rinds in Southern Switzerland.Botanical studies · 2023Article
- A Practical Workflow for the Identification of Aspergillus, Fusarium, Mucorales by MALDI-TOF MS: Database, Medium, and Incubation Optimization.Journal of clinical microbiology · 2022Article
- Review
- How MALDI-TOF Mass Spectrometry Technology Contributes to Microbial Infection Control in Healthcare Settings.Vaccines · 2022Review
- Matrix-assisted laser desorption ionization-time-of-flight mass spectrometry in veterinary medicine: Recent advances (2019-present).Veterinary world · 2022Review
4 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry has emerged as a reliable technique to identify molds involved in human diseases, including dermatophytes, provided that exhaustive reference databases are available. This study assessed an online identification application based on original algorithms and an extensive in-house reference database comprising 11,851 spectra (938 fungal species and 246 fungal genera). Validation criteria were established using an initial panel of 422 molds, including dermatophytes, previously identified via DNA sequencing (126 species). The application was further assessed using a separate panel of 501 cultured clinical isolates (88 mold taxa including dermatophytes) derived from five hospital laboratories. A total of 438 (87.35%) isolates were correctly identified at the species level, while 26 (5.22%) were assigned to the correct genus but the wrong species and 37 (7.43%) were not identified, since the defined threshold of 20 was not reached. The use of the Bruker Daltonics database included in the MALDI Biotyper software resulted in a much higher rate of unidentified isolates (39.76 and 74.30% using the score thresholds 1.7 and 2.0, respectively). Moreover, the identification delay of the online application remained compatible with real-time online queries (0.15 s per spectrum), and the application was faster than identifications using the MALDI Biotyper software. This is the first study to assess an online identification system based on MALDI-TOF spectrum analysis. We have successfully applied this approach to identify molds, including dermatophytes, for which diversity is insufficiently represented in commercial databases. This free-access application is available to medical mycologists to improve fungal identification.
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