ArticleJournal of thoracic disease2014
Performance of mass spectrometric identification of bacteria and yeasts routinely isolated in a clinical microbiology laboratory using MALDI-TOF MS.
Article in Journal of thoracic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- MALDI-TOF MS, following separation gel coagulation tubes and short-term solid phase culture effectively detects pathogenic microbes from positive blood cultures.Open medicine (Warsaw, Poland) · 2026Article
- Isolation and identification ofFrontiers in cellular and infection microbiology · 2026Article
- Unveiling Lodderomyces elongisporus as an Emerging Yeast Pathogen: A Holistic Approach to Microbiological Diagnostic Strategies.Mycopathologia · 2024Review
- Rapid nanopore sequencing and predictive susceptibility testing of positive blood cultures from intensive care patients with sepsis.Microbiology spectrum · 2024Article
- Evaluation of the Zybio EXS3000 mass spectrometry in routine identification of Clinical isolates.Heliyon · 2023Article
- Testing the Applicability of MALDI-TOF MS as an Alternative Stock Identification Method in a Cryptic Species Complex.Molecules (Basel, Switzerland) · 2020Article
- Typing and Characterization of Bacteria Using Bottom-up Tandem Mass Spectrometry Proteomics.Molecular & cellular proteomics : MCP · 2017Article
- Article
- Comparison of the Bruker Biotyper and VITEK MS Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Systems Using a Formic Acid Extraction Method to Identify Common and Uncommon Yeast Isolates.Annals of laboratory medicine · 2017Article
- Characterization of Achromobacter Species in Cystic Fibrosis Patients: Comparison of bla(OXA-114) PCR Amplification, Multilocus Sequence Typing, and Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.Journal of clinical microbiology · 2015Article
- Identification of pathogens from blood culture bottles in spiked and clinical samples using matrix-assisted laser desorption ionization time-of-flight mass-spectrometry analysis.BMC research notes · 2014Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMatrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is an emerging technology newly applied to identifying bacterial and yeast strains. The aim of this study was to evaluate the clinical performance of the VITEK(®) MS system in the identification of bacteria and yeast strains routinely isolated from clinical samples.
methodsWe prospectively analyzed routine MALDI-TOF mass spectrometry identification in parallel with conventional phenotypic identification of bacteria and yeasts regardless of phylum or source of isolation. Discordant results were resolved with 16S rDNA or internal transcribed spacer (ITS) gene sequencing. Colonies (a single deposit on a MALDI disposable target without any prior extraction step) were analyzed using the VITEK(®) MS system. Peptide spectra acquired by the system were compared with the VITEK(®) MS IVD database Version 2.0, and the identification scores were recorded.
resultsOf the 1,181 isolates (1,061 bacterial isolates and 120 yeast isolates) analyzed, 99.5% were correctly identified by MALDI-TOF mass spectrometry; 95.7% identified to the species level, 3.6% identified to the genus level, and 0.3% identified within a range of species belonging to different genera. Conversely, 0.1% of isolates were misidentified and 0.4% were unidentified, partly because the species were not included in the database. Re-testing using a second deposit provided a successful identification for 0.5% of isolates unidentified with the first deposit. Our results show that the VITEK(®) MS system has exceptional performance in identifying bacteria and yeast by comparing acquired peptide spectra to those contained in its database.
conclusionsMALDI-TOF mass spectrometry is a rapid, accurate, and relatively inexpensive method for bacterial and yeast identification. Our results demonstrate that the VITEK(®) MS system is a fast and reliable technique, and has the potential to replace conventional phenotypic identification for most bacterial and yeast strains routinely isolated in clinical microbiology laboratories.
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