ArticleJournal of clinical microbiology2023
Performance of the MSI-2 Database for Fungal Identification by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry from Cleanroom Environments.
Article in Journal of clinical microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Advancing mold identification in the routine laboratory, performance of smartphone-based imaging and a newly developed convolutional neural network.Microbiology spectrum · 2026Article
- Utility of MALDI-ToF MS for Recognition and Antifungal Susceptibility of Nannizzia, an Underestimated Group of Dermatophytes.Mycoses · 2025Article
- Clinical Evaluation of VITEK MS PRIME with PICKME Pen for Bacteria and Yeasts, and RUO Database for Filamentous Fungi.Microorganisms · 2024Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Accurate mold identification by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is dependent on robust organism representation in available databases. The Mass Spectrometry Identification (MSI) platform has proven successful for mold identification in clinical and veterinary settings but has yet to be studied with a large set of environmental isolates. Here, we performed a retrospective study using spectra collected by the Bruker MALDI Biotyper (MBT) v4.1 microflex LT instrument to evaluate the MSI-2 database alongside the combined use of the Bruker MBT (including the MBT Filamentous Fungi Library) and the National Institutes of Health (NIH) mold database (MBT/NIH databases). Analysis was performed for 462 environmental fungal isolates (representing 73 different fungi) cultured from the hospital pharmacy and cellular therapy suites as part of the current good manufacturing practices (cGMP) environmental monitoring program at the NIH. When used alone, MSI-2 identified 237 spectra (51.3%) at its higher score threshold (index A), while the MBT/NIH databases identified only 183 spectra (39.6%;
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Registered trials
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