Microbiology Group, MM Business Unit, Siemens Healthcare Diagnostics KK, Tokyo, Japan; Department of Pathology and Microbiology, Faculty of Medicine, Saga University, Saga, Japan.
Department of Clinical Laboratory, Saga University Hospital, Saga, Japan.
J Hosp Infect. 2015 Jun;90(2):147-55. doi: 10.1016/j.jhin.2014.11.025. Epub 2015 Mar 17.
Mass spectrum analysis enables species- and subspecies-level identification, and can be used as an epidemiological tool in outbreak management. However, its reliability at clonal level has yet to be established.
To establish a matrix-assisted laser desorption/ionization time-of-flight mass-spectrum-based method that enables bacterial clone identification with accuracy equivalent to pulsed-field gel electrophoresis/phage open-reading frame typing (PFGE/POT).
Meticillin-resistant Staphylococcus aureus (MRSA) was used in this study. Mass spectra were obtained from a standard strain of S. aureus (ATCC29213) and 57 clinically isolated strains, categorized according to POT. Peaks associated with MRSA clone identification (N = 67) were extracted. Based on this peak information, the feasibility of MRSA clone identification was examined by cluster analysis.
In addition to the 58 strains used for peak extraction, mass spectrum analysis of 24 clinically isolated outbreak strains revealed that peak data could be used for successful identification of clones. These typing results were fully consistent with the PFGE and POT results.
This novel method enables simple and rapid typing with accuracy equivalent to PFGE/POT. This method would be suited to rapid outbreak analysis, offering accurate information to combat infectious diseases.
质谱分析能够进行种属和亚种水平的鉴定，并且可以作为暴发管理中的一种流行病学工具。然而，其在克隆水平的可靠性尚未得到证实。
建立一种基于基质辅助激光解吸/电离飞行时间质谱的方法，使细菌克隆鉴定的准确性与脉冲场凝胶电泳/噬菌体开放阅读框分型（PFGE/POT）相当。
本研究使用耐甲氧西林金黄色葡萄球菌（MRSA）。从金黄色葡萄球菌标准株（ATCC29213）和根据 POT 分类的 57 株临床分离株中获得质谱。提取与 MRSA 克隆鉴定相关的峰（N=67）。基于这些峰信息，通过聚类分析检查 MRSA 克隆鉴定的可行性。
除了用于提取峰的 58 株菌株外，对 24 株临床分离暴发株的质谱分析表明，峰数据可用于成功鉴定克隆。这些分型结果与 PFGE 和 POT 结果完全一致。
这种新方法能够实现简单快速的分型，准确性与 PFGE/POT 相当。该方法适用于快速暴发分析，为传染病防治提供准确信息。
