Matrix-assisted laser desorption ionization time-of-flight mass spectrometry: a powerful tool for identification of Corynebacterium species

基质辅助激光解吸电离飞行时间质谱法:鉴定棒状杆菌属的有力工具

阅读:1

Abstract

BACKGROUND: Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a powerful tool that has initiated a revolution in the clinical microbiology laboratory for identification of nosocomial pathogens. The efficacy of MALDI-TOF MS produced by bioMerieux, Marcy l'Etoile, France (VITEK MS) for detecting Corynebacterium remains unknown. METHODS: Corynebacterium isolates were isolated from clinical specimen in a tertial teaching hospital from 2012 to 2013. All strains confirmed by rpoB sequencing were identified by API Coryne (bioMerieux), Phoenix (BD) and VITEK MS, respectively. The coincidence rate was used to evaluate the consistency and accuracy across three methods. RESULTS: In all, 75 Corynebacterium isolates were collected in this study. The dominant isolates were Corynebacterium striatum (58.7%), Corynebacterium jeikeium (16.0%), Corynebacterium amycolatum (5.3%), Corynebacterium urealyticum (5.3%), Corynebacterium glucuronolyticum (2.7%) and Corynebacterium minutissimum (2.7%). We found that there was no significant difference in the identification of corynebacterium to genus level by MS (100%, 75/75) or Phoenix (93.3%, 70/75) (P=0.058). However, 92.0% (69/75) strains were successfully identified to species by MS while which by Phoenix and API was 78.7% and 65.3% respectively. Compared with gene sequencing, the coincidence rate of identification by MS was significantly higher than Phoenix (P=0.036) and API (P<0.001). Compared with API Coryne (bioMerieux) and Phoenix, VITEK MS shown significant shorter detecting period and less cost. CONCLUSIONS: VITEK MS was a powerful tool, which could be applied in clinical laboratory, improving the diagnosis for Corynebacterium infection.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。