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两种基质辅助激光解吸电离飞行时间质谱法鉴定临床相关厌氧菌的比较。

Comparison of two matrix-assisted laser desorption ionisation-time of flight mass spectrometry methods for the identification of clinically relevant anaerobic bacteria.

机构信息

Department of Medical Microbiology, University Medical Centre, Groningen, the Netherlands.

出版信息

Clin Microbiol Infect. 2011 Oct;17(10):1501-6. doi: 10.1111/j.1469-0691.2011.03467.x. Epub 2011 Mar 7.

Abstract

Two commercially available MALDI-TOF MS systems, Bruker MS and Shimadzu MS, were compared for the identification of clinically relevant anaerobic bacteria. A selection of 79 clinical isolates, representing 19 different genera, were tested and compared with identification obtained by 16S rRNA gene sequencing. Correct genus identification was achieved for 71% of isolates by Shimadzu MS and for 61% by Bruker MS. Correct identification at the species level occurred in 61% and 51%, respectively. Shimadzu showed markedly better results for identification of Gram-positive anaerobic cocci. In contrast, the Bruker system performed better than Shimadzu for the Bacteroides fragilis group. When strains not present in the database were excluded from the analyses for each database, both systems performed equally well, with 76.7% and 75.0% correct genus identification for Shimadzu and Bruker, respectively. Similarly, when the most recently updated Bruker database was applied, no difference was observed. We conclude that the composition and quality of the database is crucial for a correct identification. The databases currently available for both systems need to be optimized before MS can be implemented for routine identification of anaerobic bacteria.

摘要

两种市售 MALDI-TOF MS 系统,Bruker MS 和 Shimadzu MS,用于鉴定临床相关的厌氧菌。选择了 79 株临床分离株,代表 19 个不同的属,与 16S rRNA 基因测序获得的鉴定结果进行了比较。Shimadzu MS 正确鉴定了 71%的分离株,Bruker MS 正确鉴定了 61%的分离株。分别有 61%和 51%的分离株能正确鉴定到种水平。Shimadzu 在鉴定革兰阳性厌氧球菌方面表现出明显更好的结果。相比之下,Bruker 系统在鉴定脆弱拟杆菌组方面的表现优于 Shimadzu。当从每个数据库的分析中排除不在数据库中的菌株时,两个系统的表现都一样,Shimadzu 和 Bruker 的正确属识别率分别为 76.7%和 75.0%。同样,当应用最近更新的 Bruker 数据库时,没有观察到差异。我们得出结论,数据库的组成和质量对于正确鉴定至关重要。在实施 MALDI-TOF MS 对厌氧菌进行常规鉴定之前,两个系统的数据库都需要进行优化。

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