ArticleBMC microbiology2017
Decision criteria for MALDI-TOF MS-based identification of filamentous fungi using commercial and in-house reference databases.
Article in BMC microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Migratory Pulmonary Infiltrates Mimicking Malignancy, Tuberculosis, and Sarcoidosis in an Apparently Immunocompetent Adult: A Case of Tissue-Proven Invasive Fungal Disease Due to a Non-Journal of fungi (Basel, Switzerland) · 2026Article
- Antimicrobial Resistance inPathogens (Basel, Switzerland) · 2026Article
- Why robust identification of rare yeasts is the need of the hour.Microbiology spectrum · 2026Article
- First report of extended-spectrum beta lactamase (ESBL) and carbapenemase-producing MDR Klebsiella pneumoniae from Fuchka.PloS one · 2026Article
- Bacterial load assessment and multi-drug resistant Bacteria isolation from Fuchka in Mymensingh City, Bangladesh.One health (Amsterdam, Netherlands) · 2025Article
- Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.Journal of fungi (Basel, Switzerland) · 2025Article
- Innovations in MALDI-TOF Mass Spectrometry: Bridging modern diagnostics and historical insights.Open life sciences · 2025Review
- Enhanced detection of Pythium insidiosum via lipid profiling with matrix-assisted laser desorption ionization time of flight mass spectrometry.IMA fungus · 2024Article
- Chrysosporium articulatum mimicking Trichophyton spp. infection in a cat: a case presentation and literature review.BMC veterinary research · 2024Review
- Private and well drinking water are reservoirs for antimicrobial resistant bacteria.npj antimicrobials and resistance · 2024Article
- Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry traces the geographical source of Biomphalaria pfeifferi and Bulinus forskalii, involved in schistosomiasis transmission.Infectious diseases of poverty · 2024Article
- Article
- Mass spectrometry-based proteomics as an emerging tool in clinical laboratories.Clinical proteomics · 2023Review
- Article
- Matrix-assisted laser desorption ionization-time-of-flight mass spectrometry in veterinary medicine: Recent advances (2019-present).Veterinary world · 2022Review
- Article
- 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
- Identification of Filamentous Fungi by MALDI-TOF Mass Spectrometry: Evaluation of Three Different Sample Preparation Methods and Validation of an In-House Species Cutoff.Journal of fungi (Basel, Switzerland) · 2022Article
- 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
- Identification of Molds with Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry: Performance of the Newly Developed MSI-2 Application in Comparison with the Bruker Filamentous Fungi Database and MSI-1.Journal of clinical microbiology · 2021Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeveral Matrix-Assisted Laser Desorption/Ionization Time-of-Flight mass spectrometry protocols, which differ in identification criteria, have been developed for mold and dermatophyte identification. Currently, the most widely used approach is Bruker technology, although no consensus concerning the log(score) threshold has been established. Furthermore, it remains unknown how far increasing the number of spots to compare results might improve identification performance. In this study, we used in-house and Bruker reference databases as well as a panel of 422 isolates belonging to 126 species to test various thresholds. Ten distinct identification algorithms requiring one to four spots were tested.
resultsOur findings indicate that optimal results were obtained by applying a decisional algorithm in which only the highest score of four spots was taken into account with a 1.7 log(score) threshold. Testing the entire panel enabled identification of 87.41% (in-house database) and 35.15% (Bruker database) of isolates, with a positive predictive value (PPV) of 1 at the genus level for both databases as well as 0.89 PPV (in-house database) and 0.72 PPV (Bruker database) at the species level. Applying the same rules to the isolates for which the species were represented by at least three strains in the database enabled identification of 92.1% (in-house database) and 46.6% (Bruker database) of isolates, with 1 PPV at the genus level for both databases as well as 0.95 PPV (in-house database) and 0.93 PPV (Bruker database) at the species level.
conclusionsDepositing four spots per extract and lowering the threshold to 1.7, a threshold which is notably lower than that recommended for bacterial identification, decreased the number of unidentified specimens without altering the reliability of the accepted results. Nevertheless, regardless of the criteria used for mold and dermatophyte identification, commercial databases require optimization.
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