ArticleJournal of clinical microbiology2015
Use of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of molds of the Fusarium genus.
Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
- Fusarium species,Scedosporium species, and Lomentospora prolificans: A systematic review to inform the World Health Organization priority list of fungal pathogens.Medical mycology · 2024Pooled it
- Diagnosis and management of invasive fungal infections due to non-Aspergillus moulds.The Journal of antimicrobial chemotherapy · 2025Review
- High azole MICs in Fusarium spp.: a key factor in treatment decisions for cancer patients?Revista do Instituto de Medicina Tropical de Sao Paulo · 2025Article
- Invasive fusariosis.Clinical microbiology reviews · 2023Review
- MALDI-TOF MS: A Quick Method to Detect the Susceptibility ofMicroorganisms · 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
- 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
- A New Filter Based Cultivation Approach for Improving Aspergillus Identification using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS).Mycopathologia · 2022Article
- Comparison of molecular and MALDI-TOF MS identification and antifungal susceptibility of clinicalFrontiers in microbiology · 2022Article
- Recognition of Diagnostic Gaps for Laboratory Diagnosis of Fungal Diseases: Expert Opinion from the Fungal Diagnostics Laboratories Consortium (FDLC).Journal of clinical microbiology · 2021Article
- Matrix-Assisted Laser Desorption Ionization Time-of-Flight for Fungal Identification.Clinics in laboratory medicine · 2021Review
- Article
- Invasive Fusariosis in Nonneutropenic Patients, Spain, 2000-2015.Emerging infectious diseases · 2021Review
- Biosensors and Diagnostics for Fungal Detection.Journal of fungi (Basel, Switzerland) · 2020Review
- Update on Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Identification of Filamentous Fungi.Journal of clinical microbiology · 2020Review
- Article
- First Comprehensive Report of ClinicalMicroorganisms · 2019Article
- MALDI-TOF MS for the rapid identification and drug susceptibility testing of filamentous fungi.Experimental and therapeutic medicine · 2019Article
- Emerging and reemerging fungal infections.Seminars in diagnostic pathology · 2019Review
- A Moldy Application of MALDI: MALDI-ToF Mass Spectrometry for Fungal Identification.Journal of fungi (Basel, Switzerland) · 2019Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rates of infection with Fusarium molds are increasing, and a diverse number of Fusarium spp. belonging to different species complexes can cause infection. Conventional species identification in the clinical laboratory is time-consuming and prone to errors. We therefore evaluated whether matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is a useful alternative. The 289 Fusarium strains from the Belgian Coordinated Collections of Microorganisms (BCCM)/Institute of Hygiene and Epidemiology Mycology (IHEM) culture collection with validated sequence-based identities and comprising 40 species were used in this study. An identification strategy was developed, applying a standardized MALDI-TOF MS assay and an in-house reference spectrum database. In vitro antifungal testing was performed to assess important differences in susceptibility between clinically relevant species/species complexes. We observed that no incorrect species complex identifications were made by MALDI-TOF MS, and 82.8% of the identifications were correct to the species level. This success rate was increased to 91% by lowering the cutoff for identification. Although the identification of the correct species complex member was not always guaranteed, antifungal susceptibility testing showed that discriminating between Fusarium species complexes can be important for treatment but is not necessarily required between members of a species complex. With this perspective, some Fusarium species complexes with closely related members can be considered as a whole, increasing the success rate of correct identifications to 97%. The application of our user-friendly MALDI-TOF MS identification approach resulted in a dramatic improvement in both time and accuracy compared to identification with the conventional method. A proof of principle of our MALDI-TOF MS approach in the clinical setting using recently isolated Fusarium strains demonstrated its validity.
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