ArticleJournal of clinical microbiology2014
Yeast identification algorithm based on use of the Vitek MS system selectively supplemented with ribosomal DNA sequencing: proposal of a reference assay for invasive fungal surveillance programs in China.
Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
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- Species identification and strain discrimination of fermentation yeastsApplied and environmental microbiology · 2023Article
- Whole genome analysis of echinocandin non-susceptible Candida Glabrata clinical isolates: a multi-center study in China.BMC microbiology · 2023Article
- Emergence of Antifungal Resistant Subclades in the Global Predominant Phylogenetic Population of Candida albicans.Microbiology spectrum · 2023Article
- Comparative Analysis of Epidemiological and Clinical Characteristics Between InvasiveInfection and drug resistance · 2022Article
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- Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) Analysis for the Identification of Pathogenic Microorganisms: A Review.Microorganisms · 2021Review
- Antifungal Susceptibility Profiles and Resistance Mechanisms of ClinicalFrontiers in cellular and infection microbiology · 2021Article
- Molecular Characterization ofFrontiers in microbiology · 2020Article
- Species Distribution and Antifungal Susceptibility of Invasive Candidiasis: A 2016-2017 Multicenter Surveillance Study in Beijing, China.Infection and drug resistance · 2020Article
- Matrix-assisted laser desorption/ionization time-of-flight mass spectrometric identification and antifungal susceptibility analysis of Candida species isolated from patients with invasive yeast infections in five university hospitals.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2019Article
- Epidemiology And Antifungal Susceptibility Patterns Of Invasive Fungal Infections From 2012 To 2014 In A Teaching Hospital In Central China.Infection and drug resistance · 2019Article
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9 authors.
Funding
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Abstract
Sequence analysis of the internal transcribed spacer (ITS) region was employed as the gold standard method for yeast identification in the China Hospital Invasive Fungal Surveillance Net (CHIF-NET). It has subsequently been found that matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is potentially a more practical approach for this purpose. In the present study, the performance of the Vitek MS v2.0 system for the identification of yeast isolates collected from patients with invasive fungal infections in the 2011 CHIF-NET was evaluated. A total of 1,243 isolates representing 31 yeast species were analyzed, and the identification results by the Vitek MS v2.0 system were compared to those obtained by ITS sequence analysis. By the Vitek MS v2.0 system, 96.7% (n = 1,202) of the isolates were correctly assigned to the species level and 0.2% (n = 2) of the isolates were identified to the genus level, while 2.4% (n = 30) and 0.7% (n = 9) of the isolates were unidentified and misidentified, respectively. After retesting of the unidentified and misidentified strains, 97.3% (n = 1,209) of the isolates were correctly identified to the species level. Based on these results, a testing algorithm that combines the use of the Vitek MS system with selected supplementary ribosomal DNA (rDNA) sequencing was developed and validated for yeast identification purposes. By employing this algorithm, 99.7% (1,240/1,243) of the study isolates were accurately identified with the exception of two isolates of Candida fermentati and one isolate of Cryptococcus gattii. In conclusion, the proposed identification algorithm could be practically implemented in strategic programs of fungal infection surveillance.
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