共 32 条
Accurate differentiation of novel Staphylococcus argenteus from Staphylococcus aureus using MALDI-TOF MS
被引:22
作者:
Chen, Shey-Ying
[1
]
Lee, Hao
[2
]
Teng, Shih-Hua
[3
]
Wang, Xiao-Mei
[4
]
Lee, Tai-Fen
[2
]
Huang, Yu-Chung
[2
,5
]
Liao, Chun-Hsing
[5
]
Teng, Lee-Jene
[2
,4
]
Hsueh, Po-Ren
[2
,6
]
机构:
[1] Natl Taiwan Univ, Natl Taiwan Univ Hosp, Dept Emergency Med, Coll Med, Taipei, Taiwan
[2] Natl Taiwan Univ, Natl Taiwan Univ Hosp, Dept Lab Med, Coll Med, Taipei, Taiwan
[3] Bruker Taiwan Co Ltd, Taipei, Taiwan
[4] Natl Taiwan Univ, Dept Med Genet, Coll Med, Taipei, Taiwan
[5] Far Eastern Mem Hosp, Dept Internal Med, New Taipei, Taiwan
[6] Natl Taiwan Univ, Natl Taiwan Univ Hosp, Coll Med, Dept Internal Med, Taipei, Taiwan
关键词:
Bruker Biotyper MALDI-TOF MS;
classification model;
matrix-assisted laser desorption/ionization-time of flight mass spectrometry;
Staphylococcus argenteus;
Staphylococcus aureus;
FLIGHT MASS-SPECTROMETRY;
DESORPTION IONIZATION-TIME;
BRUKER BIOTYPER;
CLONAL COMPLEX;
IDENTIFICATION;
SYSTEM;
EPIDEMIOLOGY;
NOCARDIA;
D O I:
10.2217/fmb-2018-0015
中图分类号:
Q93 [微生物学];
学科分类号:
071005 ;
100705 ;
摘要:
Aim: We evaluated a Staphylococcus argenteus-specific diagnostic profile of matrix-assisted laser desorption/ionization time-of-flight mass spectrometer for accurate identification of this novel bacterium. Materials & methods: Staphylococcus argenteus was identified based on negative crtM gene and presence of specific sequence types. A classification model was generated by cluster analysis of matrix-assisted laser desorption/ionization time-of-flight mass spectrometer results and ClinProTools software for 25 S. argenteus and 25 methicillin-susceptible S. aureus (MSSA). The performance of the classification model was validated against 72 S. argenteus and 72 MSSA isolates. Results: With cluster analysis and classification model, differentiation of 72 S. argenteus from 72 MSSA had 100.0% accuracy by chemical extraction method and 87.5% sensitivity and 100.0% specificity by direct smear method. Conclusion: The classification model could accurately differentiate S. argenteus from MSSA.
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页码:997 / 1006
页数:10
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