ArticleJournal of clinical microbiology2021
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.
Article in Journal of clinical microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Global Spread of Trichophyton indotineae Tracked by Mass Spectrometry Identification Network, 2022-2025.Emerging infectious diseases · 2026Article
- Non-Journal of clinical microbiology · 2026Observational
- 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
- Antifungal susceptibility and molecular characterization of clinical and environmental isolates ofJournal of clinical microbiology · 2026Article
- Article
- Optimizing filamentous fungi identification by MALDI-TOF MS: A comparative analysis of key factors.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Comparative performance of Filamentous Fungi 4.0 and Mass Spectrometry Identification 2.0 databases for Aspergillus spp.: identification using a simplified protein extraction method.Revista do Instituto de Medicina Tropical de Sao Paulo · 2026Article
- Treatment and diagnostic challenges associated with the novel and rapidly emerging antifungal-resistant dermatophyte,Journal of clinical microbiology · 2025Review
- Comparison of MALDI-TOF MS instruments and databases for the identification of uncommon yeasts,Journal of clinical microbiology · 2025Article
- Current Performance of MALDI-TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species.Journal of fungi (Basel, Switzerland) · 2025Article
- Evaluation of the DendrisKITJournal of fungi (Basel, Switzerland) · 2025Article
- First Report ofJournal of fungi (Basel, Switzerland) · 2025Article
- Comparison of the Filamentous Fungi Library v4.0 MALDI Biotyper Platform vs MSI-2 performance for identifying filamentous fungi from liquid cultures.Journal of clinical microbiology · 2025Article
- First documentation of Aspergillus welwitschiae in COVID-19-associated pulmonary aspergillosis in the Americas.Revista do Instituto de Medicina Tropical de Sao Paulo · 2025Article
- Practical Guidance for Clinical Microbiology Laboratories: Updated guidance for processing respiratory tract samples from people with cystic fibrosis.Clinical microbiology reviews · 2024Review
- Detection of pan-azole resistant Aspergillus fumigatus in horticulture and a composting facility in Belgium.Medical mycology · 2024Article
- Formic acid sandwich method is well-suited for filamentous fungi identification and improves turn around time using Zybio EXS2600 mass spectrometry.BMC microbiology · 2024Article
- A decade of clinical microbiology: top 10 advances in 10 years: what every infection preventionist and antimicrobial steward should know.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024Review
- Invasive fusariosis.Clinical microbiology reviews · 2023Review
- 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
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) represents a promising tool for the rapid and efficient identification of molds, but improvements are still necessary to achieve satisfactory results when identifying cryptic species. Here, we aimed to validate a new web application, MSI-2, which replaces MSI-1, an application that was built and deployed online in 2017. For the evaluation, we gathered 633 challenging isolates obtained from daily hospital practice that were first identified with DNA-based methods, and we submitted their corresponding mass spectra to three identification programs (Bruker, MSI-1, and MSI-2). The MSI-2 application had a better identification performance at the species level than MSI-1 and Bruker, reaching 83.25% correct identifications, compared with 63.19% (MSI-1), 38.07% (Bruker with a 1.7 threshold), and 21.8% (Bruker with a 2.0 threshold). The MSI-2 application performed especially well for Aspergillus and Fusarium species, including for many cryptic species, reaching 90% correct identifications for Aspergillus species and 78% for Fusarium species compared to 69% and 43% with MSI-1. Such an improvement may have a positive impact on patient management by facilitating the identification of cryptic species potentially associated with a specific antifungal resistance profile.
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