Hygiène Hospitalière, Centre Hospitalier Régional Universitaire, Besançon, France; Centre de Ressources Biologiques - Filière Microbiologie de Besançon, Centre Hospitalier Régional Universitaire, Besançon, France; UMR CNRS 6249 Chrono-environnement, Université de Bourgogne Franche-Comté, Besançon, France.
UMR CNRS 6249 Chrono-environnement, Université de Bourgogne Franche-Comté, Besançon, France.
Trends Microbiol. 2017 Jun;25(6):447-455. doi: 10.1016/j.tim.2016.12.006. Epub 2017 Jan 13.
Bacterial typing is crucial to tackle the spread of bacterial pathogens but current methods are time-consuming and costly. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been recently integrated into the microbiology laboratory workflow for a quick and low-cost microbial species identification. Independent research groups have successfully redirected the original function of this technology from their primary purpose to discriminate subgroups within pathogen species. However, identical bacterial subgroups could be identified by unrelated peaks by independent methods, thus limiting their robustness and exportability. We propose several guidelines that could improve the performance of MALDI-TOF MS-based typing methods for use as a first-line epidemiological tool.
细菌分型对于控制细菌病原体的传播至关重要,但目前的方法既耗时又昂贵。基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)最近已被整合到微生物学实验室工作流程中,用于快速、低成本的微生物物种鉴定。独立的研究小组已经成功地将这项技术的原始功能从最初的区分病原体物种内的亚群的目的重新引导到其他方向。然而,独立的方法可能会通过不相关的峰识别出相同的细菌亚群,从而限制了它们的稳健性和可移植性。我们提出了一些准则,可以提高 MALDI-TOF MS 为基础的分型方法的性能,使其成为一种一线的流行病学工具。