Mycoses · 2018 · 63 citations · 13 references
Life SciencesMicrobiologyDiagnostic MicrobiologyMass Spectrometric AnalysisMedical MicrobiologyBiochemical IdentificationFungal DiagnosticsFungal IdentificationMicrobial AnalysisMicrobial IdentificationPathogen DetectionGenus IdentificationMaldi-tof IdentificationMaldi-tof Mass SpectrometryMass Spectrometry-based IdentificationMass Spectrometry-based Microbial IdentificationMatrix-assisted Laser Desorption/ionization Time-of-flight Mass SpectrometryReference StrainsTime-of-flight Mass Spectrometry
Matrix-assisted laser desorption ionisation-time of flight mass spectrometry (MALDI-TOF MS) is commonly used by clinical microbiology laboratories to identify bacterial pathogens and yeasts, but not for the identification of moulds. Recent progress in extraction protocols and the composition of comparative libraries support potential application of MALDI-TOF MS for mould identification in clinical microbiology laboratories. We evaluated the performance of the Bruker Microflex™ MALDI-TOF MS instrument (Billerica, MA, USA) to identify clinical isolates and reference strains of moulds using 3 libraries, the Bruker mould library, the National Institutes of Health (NIH) library and the Mass Spectrometry Identification (MSI) online library, and compared those results to conventional (morphological) and molecular (18S/ITS; gold standard) identification methods. All 3 libraries demonstrated greater accuracy in genus identification (≥94.9%) than conventional methods (86.4%). MALDI-TOF MS identified 73.3% of isolates to species level compared to only 31.7% by conventional methods. The MSI library demonstrated the highest rate of species-level identification (72.0%) compared to NIH (19.5%) and Bruker (13.6%) libraries. Greater than 20% of moulds remained unidentified to species level by all 3 MALDI-TOF MS libraries primarily because of library limitations or imperfect spectra. The overall identification rate of each MALDI-TOF MS library depended on the number of species and the number of spectra representing each species in the library.
13
Toward a Novel Multilocus Phylogenetic Taxonomy for the Dermatophytes
Sybren de Hoog, Karolina Dukik, Michel Monod et al. · Mycopathologia · 2016 · 692 citations · Full text
Life Sciences, Biology, Dermatology +15
László Irinyi, Carolina Serena, Dea Garcia‐Hermoso et al. · Medical Mycology · 2015 · 324 citations · Full text
Anna F. Lau, Steven K. Drake, Leslie B. Calhoun et al. · Journal of Clinical Microbiology · 2012 · 235 citations · Full text
Life Sciences, Biology, Microbiology +14
Anne‐Cécile Normand, Pierre Becker, Frédéric Gabriel et al. · Journal of Clinical Microbiology · 2017 · 142 citations · Full text