Evaluation of a new matrix-assisted laser desorption/ionization time-of-flight mass spectrometry system for the identification of yeast isolation

被引:16
作者
Lee, Hyeyoung [1 ]
Park, Ji-Hyun [2 ]
Oh, Junsang [2 ]
Cho, Sungil [1 ]
Koo, Jehyun [1 ]
Park, Ik Chun [1 ]
Kim, Jiwoo [1 ]
Park, Sehyun [1 ]
Choi, Ji Seon [1 ]
Shin, So Youn [3 ]
Sung, Gi-Ho [2 ,4 ]
Kim, Jayoung [1 ]
机构
[1] Catholic Kwandong Univ, Coll Med, Int St Marys Hosp, Dept Lab Med, Incheon, South Korea
[2] Catholic Kwandong Univ, Coll Med, Int St Marys Hosp, Inst Healthcare & Life Sci, Incheon, South Korea
[3] Catholic Kwandong Univ, Coll Med, Int St Marys Hosp, Dept Infect Dis, Incheon, South Korea
[4] Catholic Kwandong Univ, Coll Med, Dept Microbiol, Kangnung, South Korea
关键词
identification; MALDI-TOF MS; sequencing; yeast; MALDI-TOF MS; DESORPTION IONIZATION-TIME; VITEK MS; BRUKER BIOTYPER; RIBOSOMAL DNA; MICROORGANISMS; PLATFORMS;
D O I
10.1002/jcla.22685
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background Currently, three commercial in vitro diagnostic matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) systems are widely used in clinical laboratories. The ASTA MicroIDSys system (ASTA Inc, South Korea) is a newly developed MALDI-TOF MS system used for the identification of pathogenic microorganisms. In the present study, we assessed the performance of the ASTA MALDI-TOF MS system for the identification of pathogenic yeast from clinical samples. Methods We tested 284 clinical yeast isolates from various clinical specimens using ASTA MALDI-TOF MS, and the results were compared with those using molecular sequencing of the ITS or D1-D2 regions of rDNA and biochemical assays. Results A total of 284 isolates were tested and found to be distributed across 14 species including Candida albicans (n = 100) and other yeast species (n = 184). ASTA MALDI-TOF MS correctly identified 95.1% (270/284) of the yeast species compared to molecular sequencing. Among them, 262 isolates showed acceptable MALDI-TOF MS scores (>= 140), and 98.1% (257/262) isolates were identified correctly. In addition, among 22 isolates with a MALDI-TOF MS score <140, 59.1% (13/22) of the isolates showed concordance with molecular typing at the species level. Clustering analysis revealed the effectiveness of the new MALDI-TOF MS system for the identification of yeast species. Conclusions ASTA MALDI-TOF MS showed high accuracy in the identification of yeast species; it involves facile sample preparation and extraction procedures. ASTA MALDI-TOF MS is expected to be useful for yeast identification in clinical microbiology laboratories due to its reliability and cost-effectiveness.
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