ArticleBMC microbiology2019
Comparison between MALDI-TOF MS and MicroScan in the identification of emerging and multidrug resistant yeasts in a fourth-level hospital in Bogotá, Colombia.
Article in BMC microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Is the superbug fungus really so scary? A systematic review and meta-analysis of global epidemiology and mortality of Candida auris.BMC infectious diseases · 2020Pooled it
- Diversity, antifungal susceptibility, and biofilm formation of fish-associated yeasts from freshwater and marine fish.Veterinary research communications · 2026Article
- Candidemia in Colombia: Species Distribution and Antifungal Susceptibility Profiles of Yeast Bloodstream Isolates from a Six-Year Multicentre Surveillance Study.Journal of fungi (Basel, Switzerland) · 2026Article
- Omics and Multiomics-Based Diagnostics for Invasive Candidiasis: Toward Precision Medicine.Molecular & cellular proteomics : MCP · 2025Review
- Identification and antifungal susceptibility patterns of reference yeast strains to novel and conventional agents: a comparative study using CLSI, EUCAST and Sensititre YeastOne methods.JAC-antimicrobial resistance · 2025Article
- Antimicrobial Resistance Profiles ofAntibiotics (Basel, Switzerland) · 2023Article
- Typing ofPathogens (Basel, Switzerland) · 2023Article
- Laboratory Diagnostic Methods and Antibiotic Resistance Patterns ofDiagnostics (Basel, Switzerland) · 2022Article
- Matrix-Assisted Laser Desorption Ionization Time-of-Flight for Fungal Identification.Clinics in laboratory medicine · 2021Review
- Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates.BMC microbiology · 2020Article
- Development and Validation of anJournal of fungi (Basel, Switzerland) · 2020Article
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Authors and funding
11 authors.
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Abstract
backgroundThe introduction of MALDI-TOF MS in the clinical microbiology laboratory has modified the approaches for the identification of fungi. Thanks to this tool, it is possible to identify cryptic species, which possess critical susceptibility patterns. Clinical strains were identified using the MicroScan and MALDI-TOF MS systems. Discrepant results from both methods were investigated using ITS rDNA barcoding. Finally, these isolates were also tested for in vitro susceptibility.
resultsThe percentage of agreement between both methods to 498 yeast isolates was of 93.6% (32 discrepant isolates). The concordance of ITS sequencing with MALDI-TOF MS was higher (99%) than that of MicroScan (94%). Several of these discordant yeasts displayed high MICs for antifungal agents.
conclusionsOur study highlights the need of the MS and molecular approaches such as MALDI-TOF MS and ITS rDNA barcoding for the correct identification of emerging or cryptic yeast species; besides, some of these could be multidrug resistant. This work was the first experience in the implementation of the MALDI-TOF MS technology in Colombia. We found the first uncommon yeasts including Candida auris and we could identify Trichosporon faecalis. Our work highlights a clear necessity of an accurate yeast identification as a much more pertinent technique than the susceptibility profiles, because the most unusual yeasts exhibit resistance profiles to the few available antifungals.
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