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.
引用
收藏
页码:997 / 1006
页数:10
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