ArticleJournal of clinical microbiology2025
Comparison of MALDI-TOF MS instruments and databases for the identification of uncommon yeasts,
Article in Journal of clinical microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Rapid identification of Sporothrix brasiliensis by MALDI-TOF MS directly from clinical cultures in an Amazonian epidemic setting.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026Article
- Article
- Evaluation of the VITEKEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Evaluation of multiple extraction and inactivation methods for the rapid identification of filamentous fungi using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.Microbiology spectrum · 2026Article
- BeyondJournal of fungi (Basel, Switzerland) · 2026Article
- Article
- Urinary tract infection caused by rare yeastFrontiers in immunology · 2026Review
- Case Report: Primary Cutaneous Aspergillosis in a Neutropenic Child with Pulmonary Dissemination: A case report.F1000Research · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of uncommon fungi using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-ToF-MS) remains challenging. Its performance depends on the protein extraction method, instrument, algorithm, and database. This study compared two established mass spectrometers (VITEK MS [bioMérieux] and Microflex [Bruker]) to the new VITEK MS PRIME (bioMérieux) and four databases, including MSI-2, a non-commercial database constructed with spectra acquired with Bruker instruments. Isolates of IMPORTANCE: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-ToF-MS) is key for fungal identification nowadays. We present here the largest comparison of MALDI-ToF-MS instruments and databases focusing on rare yeasts and molds identification, challenging the existing instruments and both commercial and academic databases. The strains were collected in Saint Louis Hospital (Paris) and identified using bar-code sequencing. We showed that commercial databases are efficient for the identification of the main fungal species tested, whereas the academic database outperforms them for the identification of cryptic species.
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